###1. reading plain text (.txt) file
f = open('zen_of_python.txt', 'r')
print(f.read())
f.close()
pen('zen_of_python.txt') as f:
print(f.read())
The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
###2. reading text file with delimeters (.tsv, .csv etc)
import csv
with open('Advertising.csv',"r", encoding="utf8") as f: #encoding parameter avoids error due to any mathematical symbols
#with open('movieRecommendation_input_file.tsv', "r", encoding="utf8") as f: #change delimeter to '\t while reading'
reader = csv.reader(f, delimiter=',')
print(f.read())
f.close()
,TV,radio,newspaper,sales 1,230.1,37.8,69.2,22.1 2,44.5,39.3,45.1,10.4 3,17.2,45.9,69.3,9.3 4,151.5,41.3,58.5,18.5 5,180.8,10.8,58.4,12.9 6,8.7,48.9,75,7.2 7,57.5,32.8,23.5,11.8 8,120.2,19.6,11.6,13.2 9,8.6,2.1,1,4.8 10,199.8,2.6,21.2,10.6 11,66.1,5.8,24.2,8.6 12,214.7,24,4,17.4 13,23.8,35.1,65.9,9.2 14,97.5,7.6,7.2,9.7 15,204.1,32.9,46,19 16,195.4,47.7,52.9,22.4 17,67.8,36.6,114,12.5 18,281.4,39.6,55.8,24.4 19,69.2,20.5,18.3,11.3 20,147.3,23.9,19.1,14.6 21,218.4,27.7,53.4,18 22,237.4,5.1,23.5,12.5 23,13.2,15.9,49.6,5.6 24,228.3,16.9,26.2,15.5 25,62.3,12.6,18.3,9.7 26,262.9,3.5,19.5,12 27,142.9,29.3,12.6,15 28,240.1,16.7,22.9,15.9 29,248.8,27.1,22.9,18.9 30,70.6,16,40.8,10.5 31,292.9,28.3,43.2,21.4 32,112.9,17.4,38.6,11.9 33,97.2,1.5,30,9.6 34,265.6,20,0.3,17.4 35,95.7,1.4,7.4,9.5 36,290.7,4.1,8.5,12.8 37,266.9,43.8,5,25.4 38,74.7,49.4,45.7,14.7 39,43.1,26.7,35.1,10.1 40,228,37.7,32,21.5 41,202.5,22.3,31.6,16.6 42,177,33.4,38.7,17.1 43,293.6,27.7,1.8,20.7 44,206.9,8.4,26.4,12.9 45,25.1,25.7,43.3,8.5 46,175.1,22.5,31.5,14.9 47,89.7,9.9,35.7,10.6 48,239.9,41.5,18.5,23.2 49,227.2,15.8,49.9,14.8 50,66.9,11.7,36.8,9.7 51,199.8,3.1,34.6,11.4 52,100.4,9.6,3.6,10.7 53,216.4,41.7,39.6,22.6 54,182.6,46.2,58.7,21.2 55,262.7,28.8,15.9,20.2 56,198.9,49.4,60,23.7 57,7.3,28.1,41.4,5.5 58,136.2,19.2,16.6,13.2 59,210.8,49.6,37.7,23.8 60,210.7,29.5,9.3,18.4 61,53.5,2,21.4,8.1 62,261.3,42.7,54.7,24.2 63,239.3,15.5,27.3,15.7 64,102.7,29.6,8.4,14 65,131.1,42.8,28.9,18 66,69,9.3,0.9,9.3 67,31.5,24.6,2.2,9.5 68,139.3,14.5,10.2,13.4 69,237.4,27.5,11,18.9 70,216.8,43.9,27.2,22.3 71,199.1,30.6,38.7,18.3 72,109.8,14.3,31.7,12.4 73,26.8,33,19.3,8.8 74,129.4,5.7,31.3,11 75,213.4,24.6,13.1,17 76,16.9,43.7,89.4,8.7 77,27.5,1.6,20.7,6.9 78,120.5,28.5,14.2,14.2 79,5.4,29.9,9.4,5.3 80,116,7.7,23.1,11 81,76.4,26.7,22.3,11.8 82,239.8,4.1,36.9,12.3 83,75.3,20.3,32.5,11.3 84,68.4,44.5,35.6,13.6 85,213.5,43,33.8,21.7 86,193.2,18.4,65.7,15.2 87,76.3,27.5,16,12 88,110.7,40.6,63.2,16 89,88.3,25.5,73.4,12.9 90,109.8,47.8,51.4,16.7 91,134.3,4.9,9.3,11.2 92,28.6,1.5,33,7.3 93,217.7,33.5,59,19.4 94,250.9,36.5,72.3,22.2 95,107.4,14,10.9,11.5 96,163.3,31.6,52.9,16.9 97,197.6,3.5,5.9,11.7 98,184.9,21,22,15.5 99,289.7,42.3,51.2,25.4 100,135.2,41.7,45.9,17.2 101,222.4,4.3,49.8,11.7 102,296.4,36.3,100.9,23.8 103,280.2,10.1,21.4,14.8 104,187.9,17.2,17.9,14.7 105,238.2,34.3,5.3,20.7 106,137.9,46.4,59,19.2 107,25,11,29.7,7.2 108,90.4,0.3,23.2,8.7 109,13.1,0.4,25.6,5.3 110,255.4,26.9,5.5,19.8 111,225.8,8.2,56.5,13.4 112,241.7,38,23.2,21.8 113,175.7,15.4,2.4,14.1 114,209.6,20.6,10.7,15.9 115,78.2,46.8,34.5,14.6 116,75.1,35,52.7,12.6 117,139.2,14.3,25.6,12.2 118,76.4,0.8,14.8,9.4 119,125.7,36.9,79.2,15.9 120,19.4,16,22.3,6.6 121,141.3,26.8,46.2,15.5 122,18.8,21.7,50.4,7 123,224,2.4,15.6,11.6 124,123.1,34.6,12.4,15.2 125,229.5,32.3,74.2,19.7 126,87.2,11.8,25.9,10.6 127,7.8,38.9,50.6,6.6 128,80.2,0,9.2,8.8 129,220.3,49,3.2,24.7 130,59.6,12,43.1,9.7 131,0.7,39.6,8.7,1.6 132,265.2,2.9,43,12.7 133,8.4,27.2,2.1,5.7 134,219.8,33.5,45.1,19.6 135,36.9,38.6,65.6,10.8 136,48.3,47,8.5,11.6 137,25.6,39,9.3,9.5 138,273.7,28.9,59.7,20.8 139,43,25.9,20.5,9.6 140,184.9,43.9,1.7,20.7 141,73.4,17,12.9,10.9 142,193.7,35.4,75.6,19.2 143,220.5,33.2,37.9,20.1 144,104.6,5.7,34.4,10.4 145,96.2,14.8,38.9,11.4 146,140.3,1.9,9,10.3 147,240.1,7.3,8.7,13.2 148,243.2,49,44.3,25.4 149,38,40.3,11.9,10.9 150,44.7,25.8,20.6,10.1 151,280.7,13.9,37,16.1 152,121,8.4,48.7,11.6 153,197.6,23.3,14.2,16.6 154,171.3,39.7,37.7,19 155,187.8,21.1,9.5,15.6 156,4.1,11.6,5.7,3.2 157,93.9,43.5,50.5,15.3 158,149.8,1.3,24.3,10.1 159,11.7,36.9,45.2,7.3 160,131.7,18.4,34.6,12.9 161,172.5,18.1,30.7,14.4 162,85.7,35.8,49.3,13.3 163,188.4,18.1,25.6,14.9 164,163.5,36.8,7.4,18 165,117.2,14.7,5.4,11.9 166,234.5,3.4,84.8,11.9 167,17.9,37.6,21.6,8 168,206.8,5.2,19.4,12.2 169,215.4,23.6,57.6,17.1 170,284.3,10.6,6.4,15 171,50,11.6,18.4,8.4 172,164.5,20.9,47.4,14.5 173,19.6,20.1,17,7.6 174,168.4,7.1,12.8,11.7 175,222.4,3.4,13.1,11.5 176,276.9,48.9,41.8,27 177,248.4,30.2,20.3,20.2 178,170.2,7.8,35.2,11.7 179,276.7,2.3,23.7,11.8 180,165.6,10,17.6,12.6 181,156.6,2.6,8.3,10.5 182,218.5,5.4,27.4,12.2 183,56.2,5.7,29.7,8.7 184,287.6,43,71.8,26.2 185,253.8,21.3,30,17.6 186,205,45.1,19.6,22.6 187,139.5,2.1,26.6,10.3 188,191.1,28.7,18.2,17.3 189,286,13.9,3.7,15.9 190,18.7,12.1,23.4,6.7 191,39.5,41.1,5.8,10.8 192,75.5,10.8,6,9.9 193,17.2,4.1,31.6,5.9 194,166.8,42,3.6,19.6 195,149.7,35.6,6,17.3 196,38.2,3.7,13.8,7.6 197,94.2,4.9,8.1,9.7 198,177,9.3,6.4,12.8 199,283.6,42,66.2,25.5 200,232.1,8.6,8.7,13.4
#read tsv file
import csv
with open('sampleTSV.tsv', "r", encoding="utf8") as f:
reader = csv.reader(f, delimiter='\t')
print(f.read())
f.close()
1 abcd 2 ijkl 3 mnop 4 wxyz
###3. reading JSON (.json) file
import json
with open('sampleJSON.json') as f:
content = json.load(f)
print(content)
{'fruit': 'Apple', 'size': 'Large', 'color': 'Red'}
###4. reading excel (.xls, .xlsx) file
import pandas as pd
df1 = pd.read_csv("carsDataset.csv") ##Note pandas library can also be used to read .csv file
print(df1.head())
df2 = pd.read_excel('churndataset.xlsx')
df2.head()
Car Model Volume Weight CO2 0 Toyoty Aygo 1000 790 99 1 Mitsubishi Space Star 1200 1160 95 2 Skoda Citigo 1000 929 95 3 Fiat 500 900 865 90 4 Mini Cooper 1500 1140 105
| customerID | gender | SeniorCitizen | tenure | ServiceCount | Contract | PaperlessBilling | MonthlyCharges | TotalCharges | Churn | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7590-VHVEG | Female | 0 | 1 | 2 | Month-to-month | Yes | 29.85 | 29.85 | No |
| 1 | 5575-GNVDE | Male | 0 | 34 | 4 | One year | No | 56.95 | 1889.50 | No |
| 2 | 3668-QPYBK | Male | 0 | 2 | 4 | Month-to-month | Yes | 53.85 | 108.15 | Yes |
| 3 | 7795-CFOCW | Male | 0 | 45 | 4 | One year | No | 42.30 | 1840.75 | No |
| 4 | 9237-HQITU | Female | 0 | 2 | 2 | Month-to-month | Yes | 70.70 | 151.65 | Yes |
import shutil
import os.path
# Creating the ZIP file from the existing folder containing some files
archived = shutil.make_archive('my_zipped_file', 'zip', '3D Objects')
if os.path.exists('my_zipped_file.zip'):
print(archived)
else:
print("ZIP file not created")
C:\Users\Ummesalma\my_zipped_file.zip
import zipfile as zp
archive = zp.ZipFile('my_zipped_file.zip', 'r')
print(archive.read('Desktop - Shortcut.lnk'))
b'L\x00\x00\x00\x01\x14\x02\x00\x00\x00\x00\x00\xc0\x00\x00\x00\x00\x00\x00F\x8b\x00\x08\x00\x11\x00\x00\x00\xf9h\x8a^\xe8J\xd4\x01\xf9\xdb\xc0\xe9\xb1M\xd9\x01\xb4\x19\x92\xaf\xb0M\xd9\x01\x00\xa0\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00P\x00\x14\x00\x1fP\xe0O\xd0 \xea:i\x10\xa2\xd8\x08\x00+00\x9d:\x00.\x80:\xcc\xbf\xb4,\xdbLB\xb0)\x7f\xe9\x9a\x87\xc6A&\x00\x01\x00&\x00\xef\xbe\x11\x00\x00\x00\xf9h\x8a^\xe8J\xd4\x01\xb4\x19\x92\xaf\xb0M\xd9\x01\xf9\xdb\xc0\xe9\xb1M\xd9\x01\x14\x00\x00\x00I\x00\x00\x00\x1c\x00\x00\x00\x01\x00\x00\x00\x1c\x00\x00\x00-\x00\x00\x00\x00\x00\x00\x00H\x00\x00\x00\x11\x00\x00\x00\x03\x00\x00\x00:\xce\t0\x10\x00\x00\x00\x00C:\\Users\\Ummesalma\\Desktop\x00\x00\n\x00.\x00.\x00\\\x00D\x00e\x00s\x00k\x00t\x00o\x00p\x00`\x00\x00\x00\x03\x00\x00\xa0X\x00\x00\x00\x00\x00\x00\x00desktop-lbd1mdf\x00\xc6y\xc3\x83\xba/\xbcI\x90\x8a\x1d/a&\xc4P\xed4\x9f\x14\x13_\xea\x11\xb4\xeb\x0cT\x159\xec3\xc6y\xc3\x83\xba/\xbcI\x90\x8a\x1d/a&\xc4P\xed4\x9f\x14\x13_\xea\x11\xb4\xeb\x0cT\x159\xec3\x97\x01\x00\x00\t\x00\x00\xa0Y\x00\x00\x001SPS\xed0\xbd\xdaC\x00\x89G\xa7\xf8\xd0\x13\xa4sf"=\x00\x00\x00d\x00\x00\x00\x00\x1f\x00\x00\x00\x15\x00\x00\x00U\x00m\x00m\x00e\x00s\x00a\x00l\x00m\x00a\x00 \x00(\x00C\x00:\x00\\\x00U\x00s\x00e\x00r\x00s\x00)\x00\x00\x00\x00\x00\x00\x00\x00\x00\x94\x00\x00\x001SPS0\xf1%\xb7\xefG\x1a\x10\xa5\xf1\x02`\x8c\x9e\xeb\xac!\x00\x00\x00\n\x00\x00\x00\x00\x1f\x00\x00\x00\x08\x00\x00\x00D\x00e\x00s\x00k\x00t\x00o\x00p\x00\x00\x00\x15\x00\x00\x00\x0f\x00\x00\x00\x00@\x00\x00\x00\x00\xc1\x90^\xe8J\xd4\x01-\x00\x00\x00\x04\x00\x00\x00\x00\x1f\x00\x00\x00\x0e\x00\x00\x00S\x00y\x00s\x00t\x00e\x00m\x00 \x00F\x00o\x00l\x00d\x00e\x00r\x00\x00\x00\x15\x00\x00\x00\x0e\x00\x00\x00\x00@\x00\x00\x00\xb4\x19\x92\xaf\xb0M\xd9\x01\x00\x00\x00\x00e\x00\x00\x001SPS\xa6jc(=\x95\xd2\x11\xb5\xd6\x00\xc0O\xd9\x18\xd0I\x00\x00\x00\x1e\x00\x00\x00\x00\x1f\x00\x00\x00\x1b\x00\x00\x00C\x00:\x00\\\x00U\x00s\x00e\x00r\x00s\x00\\\x00U\x00m\x00m\x00e\x00s\x00a\x00l\x00m\x00a\x00\\\x00D\x00e\x00s\x00k\x00t\x00o\x00p\x00\x00\x00\x00\x00\x00\x00\x00\x009\x00\x00\x001SPS\xb1\x16mD\xad\x8dpH\xa7H@.\xa4=x\x8c\x1d\x00\x00\x00h\x00\x00\x00\x00H\x00\x00\x00Cv\xb4\xbe\r\xab\xa6@\xa0\x83\x19k\x83\x92\x8e\xbb\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'
import os
from zipfile import ZipFile
# Create a ZipFile Object and then add the individual files that are to be zipped
with ZipFile('Zipped_file2.zip', 'w') as zip_object:
# Adding files that need to be zipped
zip_object.write('Demo.txt')
zip_object.write('Demo1.txt')
# Check to see if the zip file is created
if os.path.exists('E:/Zipped file.zip'):
print("ZIP file created")
else:
print("ZIP file not created")
ZIP file not created
###5. reading zipped file (.zip) file
import zipfile as zp
archive1 = zp.ZipFile('Zipped_file2.zip', 'r')
print(archive1.namelist())
print("The content of Demo1.txt is:\n",archive1.read('Demo1.txt'))
['Demo.txt', 'Demo1.txt'] The content of Demo1.txt is: b'This is the write command \r\nIt allows us to write in a particular file'
###Check the content of the zipped file
"""One can check what is presetn in the zipped file using namelist() and infolist() functions.
namelist() will give you the names of the files that are zipped.
infolist will give you the information of the files that are zipped.
The information includes name, filemode, and size in bytes"""
file_list1 = archive1.namelist()
print(file_list1)
file_list2 = archive1.infolist()
print(file_list2)
['Demo.txt', 'Demo1.txt'] [<ZipInfo filename='Demo.txt' filemode='-rw-rw-rw-' file_size=23>, <ZipInfo filename='Demo1.txt' filemode='-rw-rw-rw-' file_size=70>]
###6. reading XML file (.xml)
import xml.etree.ElementTree as ET
tree = ET.parse('contact.xml')
root = tree.getroot()
print(root.tag)
contact-info
###7. reading html file (.html) file
# Importing BeautifulSoup class from the bs4 module
from bs4 import BeautifulSoup
# Opening the html file
HTMLFile = open("WBCDdata_INFO.html", "r")
# Reading the file
index = HTMLFile.read()
# Creating a BeautifulSoup object and specifying the parser
S = BeautifulSoup(index, 'lxml')
# Using the prettify method to modify the code
print(S.body.prettify())
<body>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th>
</th>
<th>
id
</th>
<th>
diagnosis
</th>
<th>
radius_mean
</th>
<th>
texture_mean
</th>
<th>
perimeter_mean
</th>
<th>
area_mean
</th>
<th>
smoothness_mean
</th>
<th>
compactness_mean
</th>
<th>
concavity_mean
</th>
<th>
concave points_mean
</th>
<th>
symmetry_mean
</th>
<th>
fractal_dimension_mean
</th>
<th>
radius_se
</th>
<th>
texture_se
</th>
<th>
perimeter_se
</th>
<th>
area_se
</th>
<th>
smoothness_se
</th>
<th>
compactness_se
</th>
<th>
concavity_se
</th>
<th>
concave points_se
</th>
<th>
symmetry_se
</th>
<th>
fractal_dimension_se
</th>
<th>
radius_worst
</th>
<th>
texture_worst
</th>
<th>
perimeter_worst
</th>
<th>
area_worst
</th>
<th>
smoothness_worst
</th>
<th>
compactness_worst
</th>
<th>
concavity_worst
</th>
<th>
concave points_worst
</th>
<th>
symmetry_worst
</th>
<th>
fractal_dimension_worst
</th>
<th>
Unnamed: 32
</th>
</tr>
</thead>
<tbody>
<tr>
<th>
0
</th>
<td>
842302
</td>
<td>
M
</td>
<td>
17.990
</td>
<td>
10.38
</td>
<td>
122.80
</td>
<td>
1001.0
</td>
<td>
0.11840
</td>
<td>
0.27760
</td>
<td>
0.300100
</td>
<td>
0.147100
</td>
<td>
0.2419
</td>
<td>
0.07871
</td>
<td>
1.0950
</td>
<td>
0.9053
</td>
<td>
8.5890
</td>
<td>
153.400
</td>
<td>
0.006399
</td>
<td>
0.049040
</td>
<td>
0.053730
</td>
<td>
0.015870
</td>
<td>
0.030030
</td>
<td>
0.006193
</td>
<td>
25.380
</td>
<td>
17.33
</td>
<td>
184.60
</td>
<td>
2019.0
</td>
<td>
0.16220
</td>
<td>
0.66560
</td>
<td>
0.711900
</td>
<td>
0.265400
</td>
<td>
0.4601
</td>
<td>
0.11890
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
1
</th>
<td>
842517
</td>
<td>
M
</td>
<td>
20.570
</td>
<td>
17.77
</td>
<td>
132.90
</td>
<td>
1326.0
</td>
<td>
0.08474
</td>
<td>
0.07864
</td>
<td>
0.086900
</td>
<td>
0.070170
</td>
<td>
0.1812
</td>
<td>
0.05667
</td>
<td>
0.5435
</td>
<td>
0.7339
</td>
<td>
3.3980
</td>
<td>
74.080
</td>
<td>
0.005225
</td>
<td>
0.013080
</td>
<td>
0.018600
</td>
<td>
0.013400
</td>
<td>
0.013890
</td>
<td>
0.003532
</td>
<td>
24.990
</td>
<td>
23.41
</td>
<td>
158.80
</td>
<td>
1956.0
</td>
<td>
0.12380
</td>
<td>
0.18660
</td>
<td>
0.241600
</td>
<td>
0.186000
</td>
<td>
0.2750
</td>
<td>
0.08902
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
2
</th>
<td>
84300903
</td>
<td>
M
</td>
<td>
19.690
</td>
<td>
21.25
</td>
<td>
130.00
</td>
<td>
1203.0
</td>
<td>
0.10960
</td>
<td>
0.15990
</td>
<td>
0.197400
</td>
<td>
0.127900
</td>
<td>
0.2069
</td>
<td>
0.05999
</td>
<td>
0.7456
</td>
<td>
0.7869
</td>
<td>
4.5850
</td>
<td>
94.030
</td>
<td>
0.006150
</td>
<td>
0.040060
</td>
<td>
0.038320
</td>
<td>
0.020580
</td>
<td>
0.022500
</td>
<td>
0.004571
</td>
<td>
23.570
</td>
<td>
25.53
</td>
<td>
152.50
</td>
<td>
1709.0
</td>
<td>
0.14440
</td>
<td>
0.42450
</td>
<td>
0.450400
</td>
<td>
0.243000
</td>
<td>
0.3613
</td>
<td>
0.08758
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
3
</th>
<td>
84348301
</td>
<td>
M
</td>
<td>
11.420
</td>
<td>
20.38
</td>
<td>
77.58
</td>
<td>
386.1
</td>
<td>
0.14250
</td>
<td>
0.28390
</td>
<td>
0.241400
</td>
<td>
0.105200
</td>
<td>
0.2597
</td>
<td>
0.09744
</td>
<td>
0.4956
</td>
<td>
1.1560
</td>
<td>
3.4450
</td>
<td>
27.230
</td>
<td>
0.009110
</td>
<td>
0.074580
</td>
<td>
0.056610
</td>
<td>
0.018670
</td>
<td>
0.059630
</td>
<td>
0.009208
</td>
<td>
14.910
</td>
<td>
26.50
</td>
<td>
98.87
</td>
<td>
567.7
</td>
<td>
0.20980
</td>
<td>
0.86630
</td>
<td>
0.686900
</td>
<td>
0.257500
</td>
<td>
0.6638
</td>
<td>
0.17300
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
4
</th>
<td>
84358402
</td>
<td>
M
</td>
<td>
20.290
</td>
<td>
14.34
</td>
<td>
135.10
</td>
<td>
1297.0
</td>
<td>
0.10030
</td>
<td>
0.13280
</td>
<td>
0.198000
</td>
<td>
0.104300
</td>
<td>
0.1809
</td>
<td>
0.05883
</td>
<td>
0.7572
</td>
<td>
0.7813
</td>
<td>
5.4380
</td>
<td>
94.440
</td>
<td>
0.011490
</td>
<td>
0.024610
</td>
<td>
0.056880
</td>
<td>
0.018850
</td>
<td>
0.017560
</td>
<td>
0.005115
</td>
<td>
22.540
</td>
<td>
16.67
</td>
<td>
152.20
</td>
<td>
1575.0
</td>
<td>
0.13740
</td>
<td>
0.20500
</td>
<td>
0.400000
</td>
<td>
0.162500
</td>
<td>
0.2364
</td>
<td>
0.07678
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
5
</th>
<td>
843786
</td>
<td>
M
</td>
<td>
12.450
</td>
<td>
15.70
</td>
<td>
82.57
</td>
<td>
477.1
</td>
<td>
0.12780
</td>
<td>
0.17000
</td>
<td>
0.157800
</td>
<td>
0.080890
</td>
<td>
0.2087
</td>
<td>
0.07613
</td>
<td>
0.3345
</td>
<td>
0.8902
</td>
<td>
2.2170
</td>
<td>
27.190
</td>
<td>
0.007510
</td>
<td>
0.033450
</td>
<td>
0.036720
</td>
<td>
0.011370
</td>
<td>
0.021650
</td>
<td>
0.005082
</td>
<td>
15.470
</td>
<td>
23.75
</td>
<td>
103.40
</td>
<td>
741.6
</td>
<td>
0.17910
</td>
<td>
0.52490
</td>
<td>
0.535500
</td>
<td>
0.174100
</td>
<td>
0.3985
</td>
<td>
0.12440
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
6
</th>
<td>
844359
</td>
<td>
M
</td>
<td>
18.250
</td>
<td>
19.98
</td>
<td>
119.60
</td>
<td>
1040.0
</td>
<td>
0.09463
</td>
<td>
0.10900
</td>
<td>
0.112700
</td>
<td>
0.074000
</td>
<td>
0.1794
</td>
<td>
0.05742
</td>
<td>
0.4467
</td>
<td>
0.7732
</td>
<td>
3.1800
</td>
<td>
53.910
</td>
<td>
0.004314
</td>
<td>
0.013820
</td>
<td>
0.022540
</td>
<td>
0.010390
</td>
<td>
0.013690
</td>
<td>
0.002179
</td>
<td>
22.880
</td>
<td>
27.66
</td>
<td>
153.20
</td>
<td>
1606.0
</td>
<td>
0.14420
</td>
<td>
0.25760
</td>
<td>
0.378400
</td>
<td>
0.193200
</td>
<td>
0.3063
</td>
<td>
0.08368
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
7
</th>
<td>
84458202
</td>
<td>
M
</td>
<td>
13.710
</td>
<td>
20.83
</td>
<td>
90.20
</td>
<td>
577.9
</td>
<td>
0.11890
</td>
<td>
0.16450
</td>
<td>
0.093660
</td>
<td>
0.059850
</td>
<td>
0.2196
</td>
<td>
0.07451
</td>
<td>
0.5835
</td>
<td>
1.3770
</td>
<td>
3.8560
</td>
<td>
50.960
</td>
<td>
0.008805
</td>
<td>
0.030290
</td>
<td>
0.024880
</td>
<td>
0.014480
</td>
<td>
0.014860
</td>
<td>
0.005412
</td>
<td>
17.060
</td>
<td>
28.14
</td>
<td>
110.60
</td>
<td>
897.0
</td>
<td>
0.16540
</td>
<td>
0.36820
</td>
<td>
0.267800
</td>
<td>
0.155600
</td>
<td>
0.3196
</td>
<td>
0.11510
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
8
</th>
<td>
844981
</td>
<td>
M
</td>
<td>
13.000
</td>
<td>
21.82
</td>
<td>
87.50
</td>
<td>
519.8
</td>
<td>
0.12730
</td>
<td>
0.19320
</td>
<td>
0.185900
</td>
<td>
0.093530
</td>
<td>
0.2350
</td>
<td>
0.07389
</td>
<td>
0.3063
</td>
<td>
1.0020
</td>
<td>
2.4060
</td>
<td>
24.320
</td>
<td>
0.005731
</td>
<td>
0.035020
</td>
<td>
0.035530
</td>
<td>
0.012260
</td>
<td>
0.021430
</td>
<td>
0.003749
</td>
<td>
15.490
</td>
<td>
30.73
</td>
<td>
106.20
</td>
<td>
739.3
</td>
<td>
0.17030
</td>
<td>
0.54010
</td>
<td>
0.539000
</td>
<td>
0.206000
</td>
<td>
0.4378
</td>
<td>
0.10720
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
9
</th>
<td>
84501001
</td>
<td>
M
</td>
<td>
12.460
</td>
<td>
24.04
</td>
<td>
83.97
</td>
<td>
475.9
</td>
<td>
0.11860
</td>
<td>
0.23960
</td>
<td>
0.227300
</td>
<td>
0.085430
</td>
<td>
0.2030
</td>
<td>
0.08243
</td>
<td>
0.2976
</td>
<td>
1.5990
</td>
<td>
2.0390
</td>
<td>
23.940
</td>
<td>
0.007149
</td>
<td>
0.072170
</td>
<td>
0.077430
</td>
<td>
0.014320
</td>
<td>
0.017890
</td>
<td>
0.010080
</td>
<td>
15.090
</td>
<td>
40.68
</td>
<td>
97.65
</td>
<td>
711.4
</td>
<td>
0.18530
</td>
<td>
1.05800
</td>
<td>
1.105000
</td>
<td>
0.221000
</td>
<td>
0.4366
</td>
<td>
0.20750
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
10
</th>
<td>
845636
</td>
<td>
M
</td>
<td>
16.020
</td>
<td>
23.24
</td>
<td>
102.70
</td>
<td>
797.8
</td>
<td>
0.08206
</td>
<td>
0.06669
</td>
<td>
0.032990
</td>
<td>
0.033230
</td>
<td>
0.1528
</td>
<td>
0.05697
</td>
<td>
0.3795
</td>
<td>
1.1870
</td>
<td>
2.4660
</td>
<td>
40.510
</td>
<td>
0.004029
</td>
<td>
0.009269
</td>
<td>
0.011010
</td>
<td>
0.007591
</td>
<td>
0.014600
</td>
<td>
0.003042
</td>
<td>
19.190
</td>
<td>
33.88
</td>
<td>
123.80
</td>
<td>
1150.0
</td>
<td>
0.11810
</td>
<td>
0.15510
</td>
<td>
0.145900
</td>
<td>
0.099750
</td>
<td>
0.2948
</td>
<td>
0.08452
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
11
</th>
<td>
84610002
</td>
<td>
M
</td>
<td>
15.780
</td>
<td>
17.89
</td>
<td>
103.60
</td>
<td>
781.0
</td>
<td>
0.09710
</td>
<td>
0.12920
</td>
<td>
0.099540
</td>
<td>
0.066060
</td>
<td>
0.1842
</td>
<td>
0.06082
</td>
<td>
0.5058
</td>
<td>
0.9849
</td>
<td>
3.5640
</td>
<td>
54.160
</td>
<td>
0.005771
</td>
<td>
0.040610
</td>
<td>
0.027910
</td>
<td>
0.012820
</td>
<td>
0.020080
</td>
<td>
0.004144
</td>
<td>
20.420
</td>
<td>
27.28
</td>
<td>
136.50
</td>
<td>
1299.0
</td>
<td>
0.13960
</td>
<td>
0.56090
</td>
<td>
0.396500
</td>
<td>
0.181000
</td>
<td>
0.3792
</td>
<td>
0.10480
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
12
</th>
<td>
846226
</td>
<td>
M
</td>
<td>
19.170
</td>
<td>
24.80
</td>
<td>
132.40
</td>
<td>
1123.0
</td>
<td>
0.09740
</td>
<td>
0.24580
</td>
<td>
0.206500
</td>
<td>
0.111800
</td>
<td>
0.2397
</td>
<td>
0.07800
</td>
<td>
0.9555
</td>
<td>
3.5680
</td>
<td>
11.0700
</td>
<td>
116.200
</td>
<td>
0.003139
</td>
<td>
0.082970
</td>
<td>
0.088900
</td>
<td>
0.040900
</td>
<td>
0.044840
</td>
<td>
0.012840
</td>
<td>
20.960
</td>
<td>
29.94
</td>
<td>
151.70
</td>
<td>
1332.0
</td>
<td>
0.10370
</td>
<td>
0.39030
</td>
<td>
0.363900
</td>
<td>
0.176700
</td>
<td>
0.3176
</td>
<td>
0.10230
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
13
</th>
<td>
846381
</td>
<td>
M
</td>
<td>
15.850
</td>
<td>
23.95
</td>
<td>
103.70
</td>
<td>
782.7
</td>
<td>
0.08401
</td>
<td>
0.10020
</td>
<td>
0.099380
</td>
<td>
0.053640
</td>
<td>
0.1847
</td>
<td>
0.05338
</td>
<td>
0.4033
</td>
<td>
1.0780
</td>
<td>
2.9030
</td>
<td>
36.580
</td>
<td>
0.009769
</td>
<td>
0.031260
</td>
<td>
0.050510
</td>
<td>
0.019920
</td>
<td>
0.029810
</td>
<td>
0.003002
</td>
<td>
16.840
</td>
<td>
27.66
</td>
<td>
112.00
</td>
<td>
876.5
</td>
<td>
0.11310
</td>
<td>
0.19240
</td>
<td>
0.232200
</td>
<td>
0.111900
</td>
<td>
0.2809
</td>
<td>
0.06287
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
14
</th>
<td>
84667401
</td>
<td>
M
</td>
<td>
13.730
</td>
<td>
22.61
</td>
<td>
93.60
</td>
<td>
578.3
</td>
<td>
0.11310
</td>
<td>
0.22930
</td>
<td>
0.212800
</td>
<td>
0.080250
</td>
<td>
0.2069
</td>
<td>
0.07682
</td>
<td>
0.2121
</td>
<td>
1.1690
</td>
<td>
2.0610
</td>
<td>
19.210
</td>
<td>
0.006429
</td>
<td>
0.059360
</td>
<td>
0.055010
</td>
<td>
0.016280
</td>
<td>
0.019610
</td>
<td>
0.008093
</td>
<td>
15.030
</td>
<td>
32.01
</td>
<td>
108.80
</td>
<td>
697.7
</td>
<td>
0.16510
</td>
<td>
0.77250
</td>
<td>
0.694300
</td>
<td>
0.220800
</td>
<td>
0.3596
</td>
<td>
0.14310
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
15
</th>
<td>
84799002
</td>
<td>
M
</td>
<td>
14.540
</td>
<td>
27.54
</td>
<td>
96.73
</td>
<td>
658.8
</td>
<td>
0.11390
</td>
<td>
0.15950
</td>
<td>
0.163900
</td>
<td>
0.073640
</td>
<td>
0.2303
</td>
<td>
0.07077
</td>
<td>
0.3700
</td>
<td>
1.0330
</td>
<td>
2.8790
</td>
<td>
32.550
</td>
<td>
0.005607
</td>
<td>
0.042400
</td>
<td>
0.047410
</td>
<td>
0.010900
</td>
<td>
0.018570
</td>
<td>
0.005466
</td>
<td>
17.460
</td>
<td>
37.13
</td>
<td>
124.10
</td>
<td>
943.2
</td>
<td>
0.16780
</td>
<td>
0.65770
</td>
<td>
0.702600
</td>
<td>
0.171200
</td>
<td>
0.4218
</td>
<td>
0.13410
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
16
</th>
<td>
848406
</td>
<td>
M
</td>
<td>
14.680
</td>
<td>
20.13
</td>
<td>
94.74
</td>
<td>
684.5
</td>
<td>
0.09867
</td>
<td>
0.07200
</td>
<td>
0.073950
</td>
<td>
0.052590
</td>
<td>
0.1586
</td>
<td>
0.05922
</td>
<td>
0.4727
</td>
<td>
1.2400
</td>
<td>
3.1950
</td>
<td>
45.400
</td>
<td>
0.005718
</td>
<td>
0.011620
</td>
<td>
0.019980
</td>
<td>
0.011090
</td>
<td>
0.014100
</td>
<td>
0.002085
</td>
<td>
19.070
</td>
<td>
30.88
</td>
<td>
123.40
</td>
<td>
1138.0
</td>
<td>
0.14640
</td>
<td>
0.18710
</td>
<td>
0.291400
</td>
<td>
0.160900
</td>
<td>
0.3029
</td>
<td>
0.08216
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
17
</th>
<td>
84862001
</td>
<td>
M
</td>
<td>
16.130
</td>
<td>
20.68
</td>
<td>
108.10
</td>
<td>
798.8
</td>
<td>
0.11700
</td>
<td>
0.20220
</td>
<td>
0.172200
</td>
<td>
0.102800
</td>
<td>
0.2164
</td>
<td>
0.07356
</td>
<td>
0.5692
</td>
<td>
1.0730
</td>
<td>
3.8540
</td>
<td>
54.180
</td>
<td>
0.007026
</td>
<td>
0.025010
</td>
<td>
0.031880
</td>
<td>
0.012970
</td>
<td>
0.016890
</td>
<td>
0.004142
</td>
<td>
20.960
</td>
<td>
31.48
</td>
<td>
136.80
</td>
<td>
1315.0
</td>
<td>
0.17890
</td>
<td>
0.42330
</td>
<td>
0.478400
</td>
<td>
0.207300
</td>
<td>
0.3706
</td>
<td>
0.11420
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
18
</th>
<td>
849014
</td>
<td>
M
</td>
<td>
19.810
</td>
<td>
22.15
</td>
<td>
130.00
</td>
<td>
1260.0
</td>
<td>
0.09831
</td>
<td>
0.10270
</td>
<td>
0.147900
</td>
<td>
0.094980
</td>
<td>
0.1582
</td>
<td>
0.05395
</td>
<td>
0.7582
</td>
<td>
1.0170
</td>
<td>
5.8650
</td>
<td>
112.400
</td>
<td>
0.006494
</td>
<td>
0.018930
</td>
<td>
0.033910
</td>
<td>
0.015210
</td>
<td>
0.013560
</td>
<td>
0.001997
</td>
<td>
27.320
</td>
<td>
30.88
</td>
<td>
186.80
</td>
<td>
2398.0
</td>
<td>
0.15120
</td>
<td>
0.31500
</td>
<td>
0.537200
</td>
<td>
0.238800
</td>
<td>
0.2768
</td>
<td>
0.07615
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
19
</th>
<td>
8510426
</td>
<td>
B
</td>
<td>
13.540
</td>
<td>
14.36
</td>
<td>
87.46
</td>
<td>
566.3
</td>
<td>
0.09779
</td>
<td>
0.08129
</td>
<td>
0.066640
</td>
<td>
0.047810
</td>
<td>
0.1885
</td>
<td>
0.05766
</td>
<td>
0.2699
</td>
<td>
0.7886
</td>
<td>
2.0580
</td>
<td>
23.560
</td>
<td>
0.008462
</td>
<td>
0.014600
</td>
<td>
0.023870
</td>
<td>
0.013150
</td>
<td>
0.019800
</td>
<td>
0.002300
</td>
<td>
15.110
</td>
<td>
19.26
</td>
<td>
99.70
</td>
<td>
711.2
</td>
<td>
0.14400
</td>
<td>
0.17730
</td>
<td>
0.239000
</td>
<td>
0.128800
</td>
<td>
0.2977
</td>
<td>
0.07259
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
20
</th>
<td>
8510653
</td>
<td>
B
</td>
<td>
13.080
</td>
<td>
15.71
</td>
<td>
85.63
</td>
<td>
520.0
</td>
<td>
0.10750
</td>
<td>
0.12700
</td>
<td>
0.045680
</td>
<td>
0.031100
</td>
<td>
0.1967
</td>
<td>
0.06811
</td>
<td>
0.1852
</td>
<td>
0.7477
</td>
<td>
1.3830
</td>
<td>
14.670
</td>
<td>
0.004097
</td>
<td>
0.018980
</td>
<td>
0.016980
</td>
<td>
0.006490
</td>
<td>
0.016780
</td>
<td>
0.002425
</td>
<td>
14.500
</td>
<td>
20.49
</td>
<td>
96.09
</td>
<td>
630.5
</td>
<td>
0.13120
</td>
<td>
0.27760
</td>
<td>
0.189000
</td>
<td>
0.072830
</td>
<td>
0.3184
</td>
<td>
0.08183
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
21
</th>
<td>
8510824
</td>
<td>
B
</td>
<td>
9.504
</td>
<td>
12.44
</td>
<td>
60.34
</td>
<td>
273.9
</td>
<td>
0.10240
</td>
<td>
0.06492
</td>
<td>
0.029560
</td>
<td>
0.020760
</td>
<td>
0.1815
</td>
<td>
0.06905
</td>
<td>
0.2773
</td>
<td>
0.9768
</td>
<td>
1.9090
</td>
<td>
15.700
</td>
<td>
0.009606
</td>
<td>
0.014320
</td>
<td>
0.019850
</td>
<td>
0.014210
</td>
<td>
0.020270
</td>
<td>
0.002968
</td>
<td>
10.230
</td>
<td>
15.66
</td>
<td>
65.13
</td>
<td>
314.9
</td>
<td>
0.13240
</td>
<td>
0.11480
</td>
<td>
0.088670
</td>
<td>
0.062270
</td>
<td>
0.2450
</td>
<td>
0.07773
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
22
</th>
<td>
8511133
</td>
<td>
M
</td>
<td>
15.340
</td>
<td>
14.26
</td>
<td>
102.50
</td>
<td>
704.4
</td>
<td>
0.10730
</td>
<td>
0.21350
</td>
<td>
0.207700
</td>
<td>
0.097560
</td>
<td>
0.2521
</td>
<td>
0.07032
</td>
<td>
0.4388
</td>
<td>
0.7096
</td>
<td>
3.3840
</td>
<td>
44.910
</td>
<td>
0.006789
</td>
<td>
0.053280
</td>
<td>
0.064460
</td>
<td>
0.022520
</td>
<td>
0.036720
</td>
<td>
0.004394
</td>
<td>
18.070
</td>
<td>
19.08
</td>
<td>
125.10
</td>
<td>
980.9
</td>
<td>
0.13900
</td>
<td>
0.59540
</td>
<td>
0.630500
</td>
<td>
0.239300
</td>
<td>
0.4667
</td>
<td>
0.09946
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
23
</th>
<td>
851509
</td>
<td>
M
</td>
<td>
21.160
</td>
<td>
23.04
</td>
<td>
137.20
</td>
<td>
1404.0
</td>
<td>
0.09428
</td>
<td>
0.10220
</td>
<td>
0.109700
</td>
<td>
0.086320
</td>
<td>
0.1769
</td>
<td>
0.05278
</td>
<td>
0.6917
</td>
<td>
1.1270
</td>
<td>
4.3030
</td>
<td>
93.990
</td>
<td>
0.004728
</td>
<td>
0.012590
</td>
<td>
0.017150
</td>
<td>
0.010380
</td>
<td>
0.010830
</td>
<td>
0.001987
</td>
<td>
29.170
</td>
<td>
35.59
</td>
<td>
188.00
</td>
<td>
2615.0
</td>
<td>
0.14010
</td>
<td>
0.26000
</td>
<td>
0.315500
</td>
<td>
0.200900
</td>
<td>
0.2822
</td>
<td>
0.07526
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
24
</th>
<td>
852552
</td>
<td>
M
</td>
<td>
16.650
</td>
<td>
21.38
</td>
<td>
110.00
</td>
<td>
904.6
</td>
<td>
0.11210
</td>
<td>
0.14570
</td>
<td>
0.152500
</td>
<td>
0.091700
</td>
<td>
0.1995
</td>
<td>
0.06330
</td>
<td>
0.8068
</td>
<td>
0.9017
</td>
<td>
5.4550
</td>
<td>
102.600
</td>
<td>
0.006048
</td>
<td>
0.018820
</td>
<td>
0.027410
</td>
<td>
0.011300
</td>
<td>
0.014680
</td>
<td>
0.002801
</td>
<td>
26.460
</td>
<td>
31.56
</td>
<td>
177.00
</td>
<td>
2215.0
</td>
<td>
0.18050
</td>
<td>
0.35780
</td>
<td>
0.469500
</td>
<td>
0.209500
</td>
<td>
0.3613
</td>
<td>
0.09564
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
25
</th>
<td>
852631
</td>
<td>
M
</td>
<td>
17.140
</td>
<td>
16.40
</td>
<td>
116.00
</td>
<td>
912.7
</td>
<td>
0.11860
</td>
<td>
0.22760
</td>
<td>
0.222900
</td>
<td>
0.140100
</td>
<td>
0.3040
</td>
<td>
0.07413
</td>
<td>
1.0460
</td>
<td>
0.9760
</td>
<td>
7.2760
</td>
<td>
111.400
</td>
<td>
0.008029
</td>
<td>
0.037990
</td>
<td>
0.037320
</td>
<td>
0.023970
</td>
<td>
0.023080
</td>
<td>
0.007444
</td>
<td>
22.250
</td>
<td>
21.40
</td>
<td>
152.40
</td>
<td>
1461.0
</td>
<td>
0.15450
</td>
<td>
0.39490
</td>
<td>
0.385300
</td>
<td>
0.255000
</td>
<td>
0.4066
</td>
<td>
0.10590
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
26
</th>
<td>
852763
</td>
<td>
M
</td>
<td>
14.580
</td>
<td>
21.53
</td>
<td>
97.41
</td>
<td>
644.8
</td>
<td>
0.10540
</td>
<td>
0.18680
</td>
<td>
0.142500
</td>
<td>
0.087830
</td>
<td>
0.2252
</td>
<td>
0.06924
</td>
<td>
0.2545
</td>
<td>
0.9832
</td>
<td>
2.1100
</td>
<td>
21.050
</td>
<td>
0.004452
</td>
<td>
0.030550
</td>
<td>
0.026810
</td>
<td>
0.013520
</td>
<td>
0.014540
</td>
<td>
0.003711
</td>
<td>
17.620
</td>
<td>
33.21
</td>
<td>
122.40
</td>
<td>
896.9
</td>
<td>
0.15250
</td>
<td>
0.66430
</td>
<td>
0.553900
</td>
<td>
0.270100
</td>
<td>
0.4264
</td>
<td>
0.12750
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
27
</th>
<td>
852781
</td>
<td>
M
</td>
<td>
18.610
</td>
<td>
20.25
</td>
<td>
122.10
</td>
<td>
1094.0
</td>
<td>
0.09440
</td>
<td>
0.10660
</td>
<td>
0.149000
</td>
<td>
0.077310
</td>
<td>
0.1697
</td>
<td>
0.05699
</td>
<td>
0.8529
</td>
<td>
1.8490
</td>
<td>
5.6320
</td>
<td>
93.540
</td>
<td>
0.010750
</td>
<td>
0.027220
</td>
<td>
0.050810
</td>
<td>
0.019110
</td>
<td>
0.022930
</td>
<td>
0.004217
</td>
<td>
21.310
</td>
<td>
27.26
</td>
<td>
139.90
</td>
<td>
1403.0
</td>
<td>
0.13380
</td>
<td>
0.21170
</td>
<td>
0.344600
</td>
<td>
0.149000
</td>
<td>
0.2341
</td>
<td>
0.07421
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
28
</th>
<td>
852973
</td>
<td>
M
</td>
<td>
15.300
</td>
<td>
25.27
</td>
<td>
102.40
</td>
<td>
732.4
</td>
<td>
0.10820
</td>
<td>
0.16970
</td>
<td>
0.168300
</td>
<td>
0.087510
</td>
<td>
0.1926
</td>
<td>
0.06540
</td>
<td>
0.4390
</td>
<td>
1.0120
</td>
<td>
3.4980
</td>
<td>
43.500
</td>
<td>
0.005233
</td>
<td>
0.030570
</td>
<td>
0.035760
</td>
<td>
0.010830
</td>
<td>
0.017680
</td>
<td>
0.002967
</td>
<td>
20.270
</td>
<td>
36.71
</td>
<td>
149.30
</td>
<td>
1269.0
</td>
<td>
0.16410
</td>
<td>
0.61100
</td>
<td>
0.633500
</td>
<td>
0.202400
</td>
<td>
0.4027
</td>
<td>
0.09876
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
29
</th>
<td>
853201
</td>
<td>
M
</td>
<td>
17.570
</td>
<td>
15.05
</td>
<td>
115.00
</td>
<td>
955.1
</td>
<td>
0.09847
</td>
<td>
0.11570
</td>
<td>
0.098750
</td>
<td>
0.079530
</td>
<td>
0.1739
</td>
<td>
0.06149
</td>
<td>
0.6003
</td>
<td>
0.8225
</td>
<td>
4.6550
</td>
<td>
61.100
</td>
<td>
0.005627
</td>
<td>
0.030330
</td>
<td>
0.034070
</td>
<td>
0.013540
</td>
<td>
0.019250
</td>
<td>
0.003742
</td>
<td>
20.010
</td>
<td>
19.52
</td>
<td>
134.90
</td>
<td>
1227.0
</td>
<td>
0.12550
</td>
<td>
0.28120
</td>
<td>
0.248900
</td>
<td>
0.145600
</td>
<td>
0.2756
</td>
<td>
0.07919
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
30
</th>
<td>
853401
</td>
<td>
M
</td>
<td>
18.630
</td>
<td>
25.11
</td>
<td>
124.80
</td>
<td>
1088.0
</td>
<td>
0.10640
</td>
<td>
0.18870
</td>
<td>
0.231900
</td>
<td>
0.124400
</td>
<td>
0.2183
</td>
<td>
0.06197
</td>
<td>
0.8307
</td>
<td>
1.4660
</td>
<td>
5.5740
</td>
<td>
105.000
</td>
<td>
0.006248
</td>
<td>
0.033740
</td>
<td>
0.051960
</td>
<td>
0.011580
</td>
<td>
0.020070
</td>
<td>
0.004560
</td>
<td>
23.150
</td>
<td>
34.01
</td>
<td>
160.50
</td>
<td>
1670.0
</td>
<td>
0.14910
</td>
<td>
0.42570
</td>
<td>
0.613300
</td>
<td>
0.184800
</td>
<td>
0.3444
</td>
<td>
0.09782
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
31
</th>
<td>
853612
</td>
<td>
M
</td>
<td>
11.840
</td>
<td>
18.70
</td>
<td>
77.93
</td>
<td>
440.6
</td>
<td>
0.11090
</td>
<td>
0.15160
</td>
<td>
0.121800
</td>
<td>
0.051820
</td>
<td>
0.2301
</td>
<td>
0.07799
</td>
<td>
0.4825
</td>
<td>
1.0300
</td>
<td>
3.4750
</td>
<td>
41.000
</td>
<td>
0.005551
</td>
<td>
0.034140
</td>
<td>
0.042050
</td>
<td>
0.010440
</td>
<td>
0.022730
</td>
<td>
0.005667
</td>
<td>
16.820
</td>
<td>
28.12
</td>
<td>
119.40
</td>
<td>
888.7
</td>
<td>
0.16370
</td>
<td>
0.57750
</td>
<td>
0.695600
</td>
<td>
0.154600
</td>
<td>
0.4761
</td>
<td>
0.14020
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
32
</th>
<td>
85382601
</td>
<td>
M
</td>
<td>
17.020
</td>
<td>
23.98
</td>
<td>
112.80
</td>
<td>
899.3
</td>
<td>
0.11970
</td>
<td>
0.14960
</td>
<td>
0.241700
</td>
<td>
0.120300
</td>
<td>
0.2248
</td>
<td>
0.06382
</td>
<td>
0.6009
</td>
<td>
1.3980
</td>
<td>
3.9990
</td>
<td>
67.780
</td>
<td>
0.008268
</td>
<td>
0.030820
</td>
<td>
0.050420
</td>
<td>
0.011120
</td>
<td>
0.021020
</td>
<td>
0.003854
</td>
<td>
20.880
</td>
<td>
32.09
</td>
<td>
136.10
</td>
<td>
1344.0
</td>
<td>
0.16340
</td>
<td>
0.35590
</td>
<td>
0.558800
</td>
<td>
0.184700
</td>
<td>
0.3530
</td>
<td>
0.08482
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
33
</th>
<td>
854002
</td>
<td>
M
</td>
<td>
19.270
</td>
<td>
26.47
</td>
<td>
127.90
</td>
<td>
1162.0
</td>
<td>
0.09401
</td>
<td>
0.17190
</td>
<td>
0.165700
</td>
<td>
0.075930
</td>
<td>
0.1853
</td>
<td>
0.06261
</td>
<td>
0.5558
</td>
<td>
0.6062
</td>
<td>
3.5280
</td>
<td>
68.170
</td>
<td>
0.005015
</td>
<td>
0.033180
</td>
<td>
0.034970
</td>
<td>
0.009643
</td>
<td>
0.015430
</td>
<td>
0.003896
</td>
<td>
24.150
</td>
<td>
30.90
</td>
<td>
161.40
</td>
<td>
1813.0
</td>
<td>
0.15090
</td>
<td>
0.65900
</td>
<td>
0.609100
</td>
<td>
0.178500
</td>
<td>
0.3672
</td>
<td>
0.11230
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
34
</th>
<td>
854039
</td>
<td>
M
</td>
<td>
16.130
</td>
<td>
17.88
</td>
<td>
107.00
</td>
<td>
807.2
</td>
<td>
0.10400
</td>
<td>
0.15590
</td>
<td>
0.135400
</td>
<td>
0.077520
</td>
<td>
0.1998
</td>
<td>
0.06515
</td>
<td>
0.3340
</td>
<td>
0.6857
</td>
<td>
2.1830
</td>
<td>
35.030
</td>
<td>
0.004185
</td>
<td>
0.028680
</td>
<td>
0.026640
</td>
<td>
0.009067
</td>
<td>
0.017030
</td>
<td>
0.003817
</td>
<td>
20.210
</td>
<td>
27.26
</td>
<td>
132.70
</td>
<td>
1261.0
</td>
<td>
0.14460
</td>
<td>
0.58040
</td>
<td>
0.527400
</td>
<td>
0.186400
</td>
<td>
0.4270
</td>
<td>
0.12330
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
35
</th>
<td>
854253
</td>
<td>
M
</td>
<td>
16.740
</td>
<td>
21.59
</td>
<td>
110.10
</td>
<td>
869.5
</td>
<td>
0.09610
</td>
<td>
0.13360
</td>
<td>
0.134800
</td>
<td>
0.060180
</td>
<td>
0.1896
</td>
<td>
0.05656
</td>
<td>
0.4615
</td>
<td>
0.9197
</td>
<td>
3.0080
</td>
<td>
45.190
</td>
<td>
0.005776
</td>
<td>
0.024990
</td>
<td>
0.036950
</td>
<td>
0.011950
</td>
<td>
0.027890
</td>
<td>
0.002665
</td>
<td>
20.010
</td>
<td>
29.02
</td>
<td>
133.50
</td>
<td>
1229.0
</td>
<td>
0.15630
</td>
<td>
0.38350
</td>
<td>
0.540900
</td>
<td>
0.181300
</td>
<td>
0.4863
</td>
<td>
0.08633
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
36
</th>
<td>
854268
</td>
<td>
M
</td>
<td>
14.250
</td>
<td>
21.72
</td>
<td>
93.63
</td>
<td>
633.0
</td>
<td>
0.09823
</td>
<td>
0.10980
</td>
<td>
0.131900
</td>
<td>
0.055980
</td>
<td>
0.1885
</td>
<td>
0.06125
</td>
<td>
0.2860
</td>
<td>
1.0190
</td>
<td>
2.6570
</td>
<td>
24.910
</td>
<td>
0.005878
</td>
<td>
0.029950
</td>
<td>
0.048150
</td>
<td>
0.011610
</td>
<td>
0.020280
</td>
<td>
0.004022
</td>
<td>
15.890
</td>
<td>
30.36
</td>
<td>
116.20
</td>
<td>
799.6
</td>
<td>
0.14460
</td>
<td>
0.42380
</td>
<td>
0.518600
</td>
<td>
0.144700
</td>
<td>
0.3591
</td>
<td>
0.10140
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
37
</th>
<td>
854941
</td>
<td>
B
</td>
<td>
13.030
</td>
<td>
18.42
</td>
<td>
82.61
</td>
<td>
523.8
</td>
<td>
0.08983
</td>
<td>
0.03766
</td>
<td>
0.025620
</td>
<td>
0.029230
</td>
<td>
0.1467
</td>
<td>
0.05863
</td>
<td>
0.1839
</td>
<td>
2.3420
</td>
<td>
1.1700
</td>
<td>
14.160
</td>
<td>
0.004352
</td>
<td>
0.004899
</td>
<td>
0.013430
</td>
<td>
0.011640
</td>
<td>
0.026710
</td>
<td>
0.001777
</td>
<td>
13.300
</td>
<td>
22.81
</td>
<td>
84.46
</td>
<td>
545.9
</td>
<td>
0.09701
</td>
<td>
0.04619
</td>
<td>
0.048330
</td>
<td>
0.050130
</td>
<td>
0.1987
</td>
<td>
0.06169
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
38
</th>
<td>
855133
</td>
<td>
M
</td>
<td>
14.990
</td>
<td>
25.20
</td>
<td>
95.54
</td>
<td>
698.8
</td>
<td>
0.09387
</td>
<td>
0.05131
</td>
<td>
0.023980
</td>
<td>
0.028990
</td>
<td>
0.1565
</td>
<td>
0.05504
</td>
<td>
1.2140
</td>
<td>
2.1880
</td>
<td>
8.0770
</td>
<td>
106.000
</td>
<td>
0.006883
</td>
<td>
0.010940
</td>
<td>
0.018180
</td>
<td>
0.019170
</td>
<td>
0.007882
</td>
<td>
0.001754
</td>
<td>
14.990
</td>
<td>
25.20
</td>
<td>
95.54
</td>
<td>
698.8
</td>
<td>
0.09387
</td>
<td>
0.05131
</td>
<td>
0.023980
</td>
<td>
0.028990
</td>
<td>
0.1565
</td>
<td>
0.05504
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
39
</th>
<td>
855138
</td>
<td>
M
</td>
<td>
13.480
</td>
<td>
20.82
</td>
<td>
88.40
</td>
<td>
559.2
</td>
<td>
0.10160
</td>
<td>
0.12550
</td>
<td>
0.106300
</td>
<td>
0.054390
</td>
<td>
0.1720
</td>
<td>
0.06419
</td>
<td>
0.2130
</td>
<td>
0.5914
</td>
<td>
1.5450
</td>
<td>
18.520
</td>
<td>
0.005367
</td>
<td>
0.022390
</td>
<td>
0.030490
</td>
<td>
0.012620
</td>
<td>
0.013770
</td>
<td>
0.003187
</td>
<td>
15.530
</td>
<td>
26.02
</td>
<td>
107.30
</td>
<td>
740.4
</td>
<td>
0.16100
</td>
<td>
0.42250
</td>
<td>
0.503000
</td>
<td>
0.225800
</td>
<td>
0.2807
</td>
<td>
0.10710
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
40
</th>
<td>
855167
</td>
<td>
M
</td>
<td>
13.440
</td>
<td>
21.58
</td>
<td>
86.18
</td>
<td>
563.0
</td>
<td>
0.08162
</td>
<td>
0.06031
</td>
<td>
0.031100
</td>
<td>
0.020310
</td>
<td>
0.1784
</td>
<td>
0.05587
</td>
<td>
0.2385
</td>
<td>
0.8265
</td>
<td>
1.5720
</td>
<td>
20.530
</td>
<td>
0.003280
</td>
<td>
0.011020
</td>
<td>
0.013900
</td>
<td>
0.006881
</td>
<td>
0.013800
</td>
<td>
0.001286
</td>
<td>
15.930
</td>
<td>
30.25
</td>
<td>
102.50
</td>
<td>
787.9
</td>
<td>
0.10940
</td>
<td>
0.20430
</td>
<td>
0.208500
</td>
<td>
0.111200
</td>
<td>
0.2994
</td>
<td>
0.07146
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
41
</th>
<td>
855563
</td>
<td>
M
</td>
<td>
10.950
</td>
<td>
21.35
</td>
<td>
71.90
</td>
<td>
371.1
</td>
<td>
0.12270
</td>
<td>
0.12180
</td>
<td>
0.104400
</td>
<td>
0.056690
</td>
<td>
0.1895
</td>
<td>
0.06870
</td>
<td>
0.2366
</td>
<td>
1.4280
</td>
<td>
1.8220
</td>
<td>
16.970
</td>
<td>
0.008064
</td>
<td>
0.017640
</td>
<td>
0.025950
</td>
<td>
0.010370
</td>
<td>
0.013570
</td>
<td>
0.003040
</td>
<td>
12.840
</td>
<td>
35.34
</td>
<td>
87.22
</td>
<td>
514.0
</td>
<td>
0.19090
</td>
<td>
0.26980
</td>
<td>
0.402300
</td>
<td>
0.142400
</td>
<td>
0.2964
</td>
<td>
0.09606
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
42
</th>
<td>
855625
</td>
<td>
M
</td>
<td>
19.070
</td>
<td>
24.81
</td>
<td>
128.30
</td>
<td>
1104.0
</td>
<td>
0.09081
</td>
<td>
0.21900
</td>
<td>
0.210700
</td>
<td>
0.099610
</td>
<td>
0.2310
</td>
<td>
0.06343
</td>
<td>
0.9811
</td>
<td>
1.6660
</td>
<td>
8.8300
</td>
<td>
104.900
</td>
<td>
0.006548
</td>
<td>
0.100600
</td>
<td>
0.097230
</td>
<td>
0.026380
</td>
<td>
0.053330
</td>
<td>
0.007646
</td>
<td>
24.090
</td>
<td>
33.17
</td>
<td>
177.40
</td>
<td>
1651.0
</td>
<td>
0.12470
</td>
<td>
0.74440
</td>
<td>
0.724200
</td>
<td>
0.249300
</td>
<td>
0.4670
</td>
<td>
0.10380
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
43
</th>
<td>
856106
</td>
<td>
M
</td>
<td>
13.280
</td>
<td>
20.28
</td>
<td>
87.32
</td>
<td>
545.2
</td>
<td>
0.10410
</td>
<td>
0.14360
</td>
<td>
0.098470
</td>
<td>
0.061580
</td>
<td>
0.1974
</td>
<td>
0.06782
</td>
<td>
0.3704
</td>
<td>
0.8249
</td>
<td>
2.4270
</td>
<td>
31.330
</td>
<td>
0.005072
</td>
<td>
0.021470
</td>
<td>
0.021850
</td>
<td>
0.009560
</td>
<td>
0.017190
</td>
<td>
0.003317
</td>
<td>
17.380
</td>
<td>
28.00
</td>
<td>
113.10
</td>
<td>
907.2
</td>
<td>
0.15300
</td>
<td>
0.37240
</td>
<td>
0.366400
</td>
<td>
0.149200
</td>
<td>
0.3739
</td>
<td>
0.10270
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
44
</th>
<td>
85638502
</td>
<td>
M
</td>
<td>
13.170
</td>
<td>
21.81
</td>
<td>
85.42
</td>
<td>
531.5
</td>
<td>
0.09714
</td>
<td>
0.10470
</td>
<td>
0.082590
</td>
<td>
0.052520
</td>
<td>
0.1746
</td>
<td>
0.06177
</td>
<td>
0.1938
</td>
<td>
0.6123
</td>
<td>
1.3340
</td>
<td>
14.490
</td>
<td>
0.003350
</td>
<td>
0.013840
</td>
<td>
0.014520
</td>
<td>
0.006853
</td>
<td>
0.011130
</td>
<td>
0.001720
</td>
<td>
16.230
</td>
<td>
29.89
</td>
<td>
105.50
</td>
<td>
740.7
</td>
<td>
0.15030
</td>
<td>
0.39040
</td>
<td>
0.372800
</td>
<td>
0.160700
</td>
<td>
0.3693
</td>
<td>
0.09618
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
45
</th>
<td>
857010
</td>
<td>
M
</td>
<td>
18.650
</td>
<td>
17.60
</td>
<td>
123.70
</td>
<td>
1076.0
</td>
<td>
0.10990
</td>
<td>
0.16860
</td>
<td>
0.197400
</td>
<td>
0.100900
</td>
<td>
0.1907
</td>
<td>
0.06049
</td>
<td>
0.6289
</td>
<td>
0.6633
</td>
<td>
4.2930
</td>
<td>
71.560
</td>
<td>
0.006294
</td>
<td>
0.039940
</td>
<td>
0.055540
</td>
<td>
0.016950
</td>
<td>
0.024280
</td>
<td>
0.003535
</td>
<td>
22.820
</td>
<td>
21.32
</td>
<td>
150.60
</td>
<td>
1567.0
</td>
<td>
0.16790
</td>
<td>
0.50900
</td>
<td>
0.734500
</td>
<td>
0.237800
</td>
<td>
0.3799
</td>
<td>
0.09185
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
46
</th>
<td>
85713702
</td>
<td>
B
</td>
<td>
8.196
</td>
<td>
16.84
</td>
<td>
51.71
</td>
<td>
201.9
</td>
<td>
0.08600
</td>
<td>
0.05943
</td>
<td>
0.015880
</td>
<td>
0.005917
</td>
<td>
0.1769
</td>
<td>
0.06503
</td>
<td>
0.1563
</td>
<td>
0.9567
</td>
<td>
1.0940
</td>
<td>
8.205
</td>
<td>
0.008968
</td>
<td>
0.016460
</td>
<td>
0.015880
</td>
<td>
0.005917
</td>
<td>
0.025740
</td>
<td>
0.002582
</td>
<td>
8.964
</td>
<td>
21.96
</td>
<td>
57.26
</td>
<td>
242.2
</td>
<td>
0.12970
</td>
<td>
0.13570
</td>
<td>
0.068800
</td>
<td>
0.025640
</td>
<td>
0.3105
</td>
<td>
0.07409
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
47
</th>
<td>
85715
</td>
<td>
M
</td>
<td>
13.170
</td>
<td>
18.66
</td>
<td>
85.98
</td>
<td>
534.6
</td>
<td>
0.11580
</td>
<td>
0.12310
</td>
<td>
0.122600
</td>
<td>
0.073400
</td>
<td>
0.2128
</td>
<td>
0.06777
</td>
<td>
0.2871
</td>
<td>
0.8937
</td>
<td>
1.8970
</td>
<td>
24.250
</td>
<td>
0.006532
</td>
<td>
0.023360
</td>
<td>
0.029050
</td>
<td>
0.012150
</td>
<td>
0.017430
</td>
<td>
0.003643
</td>
<td>
15.670
</td>
<td>
27.95
</td>
<td>
102.80
</td>
<td>
759.4
</td>
<td>
0.17860
</td>
<td>
0.41660
</td>
<td>
0.500600
</td>
<td>
0.208800
</td>
<td>
0.3900
</td>
<td>
0.11790
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
48
</th>
<td>
857155
</td>
<td>
B
</td>
<td>
12.050
</td>
<td>
14.63
</td>
<td>
78.04
</td>
<td>
449.3
</td>
<td>
0.10310
</td>
<td>
0.09092
</td>
<td>
0.065920
</td>
<td>
0.027490
</td>
<td>
0.1675
</td>
<td>
0.06043
</td>
<td>
0.2636
</td>
<td>
0.7294
</td>
<td>
1.8480
</td>
<td>
19.870
</td>
<td>
0.005488
</td>
<td>
0.014270
</td>
<td>
0.023220
</td>
<td>
0.005660
</td>
<td>
0.014280
</td>
<td>
0.002422
</td>
<td>
13.760
</td>
<td>
20.70
</td>
<td>
89.88
</td>
<td>
582.6
</td>
<td>
0.14940
</td>
<td>
0.21560
</td>
<td>
0.305000
</td>
<td>
0.065480
</td>
<td>
0.2747
</td>
<td>
0.08301
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
49
</th>
<td>
857156
</td>
<td>
B
</td>
<td>
13.490
</td>
<td>
22.30
</td>
<td>
86.91
</td>
<td>
561.0
</td>
<td>
0.08752
</td>
<td>
0.07698
</td>
<td>
0.047510
</td>
<td>
0.033840
</td>
<td>
0.1809
</td>
<td>
0.05718
</td>
<td>
0.2338
</td>
<td>
1.3530
</td>
<td>
1.7350
</td>
<td>
20.200
</td>
<td>
0.004455
</td>
<td>
0.013820
</td>
<td>
0.020950
</td>
<td>
0.011840
</td>
<td>
0.016410
</td>
<td>
0.001956
</td>
<td>
15.150
</td>
<td>
31.82
</td>
<td>
99.00
</td>
<td>
698.8
</td>
<td>
0.11620
</td>
<td>
0.17110
</td>
<td>
0.228200
</td>
<td>
0.128200
</td>
<td>
0.2871
</td>
<td>
0.06917
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
50
</th>
<td>
857343
</td>
<td>
B
</td>
<td>
11.760
</td>
<td>
21.60
</td>
<td>
74.72
</td>
<td>
427.9
</td>
<td>
0.08637
</td>
<td>
0.04966
</td>
<td>
0.016570
</td>
<td>
0.011150
</td>
<td>
0.1495
</td>
<td>
0.05888
</td>
<td>
0.4062
</td>
<td>
1.2100
</td>
<td>
2.6350
</td>
<td>
28.470
</td>
<td>
0.005857
</td>
<td>
0.009758
</td>
<td>
0.011680
</td>
<td>
0.007445
</td>
<td>
0.024060
</td>
<td>
0.001769
</td>
<td>
12.980
</td>
<td>
25.72
</td>
<td>
82.98
</td>
<td>
516.5
</td>
<td>
0.10850
</td>
<td>
0.08615
</td>
<td>
0.055230
</td>
<td>
0.037150
</td>
<td>
0.2433
</td>
<td>
0.06563
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
51
</th>
<td>
857373
</td>
<td>
B
</td>
<td>
13.640
</td>
<td>
16.34
</td>
<td>
87.21
</td>
<td>
571.8
</td>
<td>
0.07685
</td>
<td>
0.06059
</td>
<td>
0.018570
</td>
<td>
0.017230
</td>
<td>
0.1353
</td>
<td>
0.05953
</td>
<td>
0.1872
</td>
<td>
0.9234
</td>
<td>
1.4490
</td>
<td>
14.550
</td>
<td>
0.004477
</td>
<td>
0.011770
</td>
<td>
0.010790
</td>
<td>
0.007956
</td>
<td>
0.013250
</td>
<td>
0.002551
</td>
<td>
14.670
</td>
<td>
23.19
</td>
<td>
96.08
</td>
<td>
656.7
</td>
<td>
0.10890
</td>
<td>
0.15820
</td>
<td>
0.105000
</td>
<td>
0.085860
</td>
<td>
0.2346
</td>
<td>
0.08025
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
52
</th>
<td>
857374
</td>
<td>
B
</td>
<td>
11.940
</td>
<td>
18.24
</td>
<td>
75.71
</td>
<td>
437.6
</td>
<td>
0.08261
</td>
<td>
0.04751
</td>
<td>
0.019720
</td>
<td>
0.013490
</td>
<td>
0.1868
</td>
<td>
0.06110
</td>
<td>
0.2273
</td>
<td>
0.6329
</td>
<td>
1.5200
</td>
<td>
17.470
</td>
<td>
0.007210
</td>
<td>
0.008380
</td>
<td>
0.013110
</td>
<td>
0.008000
</td>
<td>
0.019960
</td>
<td>
0.002635
</td>
<td>
13.100
</td>
<td>
21.33
</td>
<td>
83.67
</td>
<td>
527.2
</td>
<td>
0.11440
</td>
<td>
0.08906
</td>
<td>
0.092030
</td>
<td>
0.062960
</td>
<td>
0.2785
</td>
<td>
0.07408
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
53
</th>
<td>
857392
</td>
<td>
M
</td>
<td>
18.220
</td>
<td>
18.70
</td>
<td>
120.30
</td>
<td>
1033.0
</td>
<td>
0.11480
</td>
<td>
0.14850
</td>
<td>
0.177200
</td>
<td>
0.106000
</td>
<td>
0.2092
</td>
<td>
0.06310
</td>
<td>
0.8337
</td>
<td>
1.5930
</td>
<td>
4.8770
</td>
<td>
98.810
</td>
<td>
0.003899
</td>
<td>
0.029610
</td>
<td>
0.028170
</td>
<td>
0.009222
</td>
<td>
0.026740
</td>
<td>
0.005126
</td>
<td>
20.600
</td>
<td>
24.13
</td>
<td>
135.10
</td>
<td>
1321.0
</td>
<td>
0.12800
</td>
<td>
0.22970
</td>
<td>
0.262300
</td>
<td>
0.132500
</td>
<td>
0.3021
</td>
<td>
0.07987
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
54
</th>
<td>
857438
</td>
<td>
M
</td>
<td>
15.100
</td>
<td>
22.02
</td>
<td>
97.26
</td>
<td>
712.8
</td>
<td>
0.09056
</td>
<td>
0.07081
</td>
<td>
0.052530
</td>
<td>
0.033340
</td>
<td>
0.1616
</td>
<td>
0.05684
</td>
<td>
0.3105
</td>
<td>
0.8339
</td>
<td>
2.0970
</td>
<td>
29.910
</td>
<td>
0.004675
</td>
<td>
0.010300
</td>
<td>
0.016030
</td>
<td>
0.009222
</td>
<td>
0.010950
</td>
<td>
0.001629
</td>
<td>
18.100
</td>
<td>
31.69
</td>
<td>
117.70
</td>
<td>
1030.0
</td>
<td>
0.13890
</td>
<td>
0.20570
</td>
<td>
0.271200
</td>
<td>
0.153000
</td>
<td>
0.2675
</td>
<td>
0.07873
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
55
</th>
<td>
85759902
</td>
<td>
B
</td>
<td>
11.520
</td>
<td>
18.75
</td>
<td>
73.34
</td>
<td>
409.0
</td>
<td>
0.09524
</td>
<td>
0.05473
</td>
<td>
0.030360
</td>
<td>
0.022780
</td>
<td>
0.1920
</td>
<td>
0.05907
</td>
<td>
0.3249
</td>
<td>
0.9591
</td>
<td>
2.1830
</td>
<td>
23.470
</td>
<td>
0.008328
</td>
<td>
0.008722
</td>
<td>
0.013490
</td>
<td>
0.008670
</td>
<td>
0.032180
</td>
<td>
0.002386
</td>
<td>
12.840
</td>
<td>
22.47
</td>
<td>
81.81
</td>
<td>
506.2
</td>
<td>
0.12490
</td>
<td>
0.08720
</td>
<td>
0.090760
</td>
<td>
0.063160
</td>
<td>
0.3306
</td>
<td>
0.07036
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
56
</th>
<td>
857637
</td>
<td>
M
</td>
<td>
19.210
</td>
<td>
18.57
</td>
<td>
125.50
</td>
<td>
1152.0
</td>
<td>
0.10530
</td>
<td>
0.12670
</td>
<td>
0.132300
</td>
<td>
0.089940
</td>
<td>
0.1917
</td>
<td>
0.05961
</td>
<td>
0.7275
</td>
<td>
1.1930
</td>
<td>
4.8370
</td>
<td>
102.500
</td>
<td>
0.006458
</td>
<td>
0.023060
</td>
<td>
0.029450
</td>
<td>
0.015380
</td>
<td>
0.018520
</td>
<td>
0.002608
</td>
<td>
26.140
</td>
<td>
28.14
</td>
<td>
170.10
</td>
<td>
2145.0
</td>
<td>
0.16240
</td>
<td>
0.35110
</td>
<td>
0.387900
</td>
<td>
0.209100
</td>
<td>
0.3537
</td>
<td>
0.08294
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
57
</th>
<td>
857793
</td>
<td>
M
</td>
<td>
14.710
</td>
<td>
21.59
</td>
<td>
95.55
</td>
<td>
656.9
</td>
<td>
0.11370
</td>
<td>
0.13650
</td>
<td>
0.129300
</td>
<td>
0.081230
</td>
<td>
0.2027
</td>
<td>
0.06758
</td>
<td>
0.4226
</td>
<td>
1.1500
</td>
<td>
2.7350
</td>
<td>
40.090
</td>
<td>
0.003659
</td>
<td>
0.028550
</td>
<td>
0.025720
</td>
<td>
0.012720
</td>
<td>
0.018170
</td>
<td>
0.004108
</td>
<td>
17.870
</td>
<td>
30.70
</td>
<td>
115.70
</td>
<td>
985.5
</td>
<td>
0.13680
</td>
<td>
0.42900
</td>
<td>
0.358700
</td>
<td>
0.183400
</td>
<td>
0.3698
</td>
<td>
0.10940
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
58
</th>
<td>
857810
</td>
<td>
B
</td>
<td>
13.050
</td>
<td>
19.31
</td>
<td>
82.61
</td>
<td>
527.2
</td>
<td>
0.08060
</td>
<td>
0.03789
</td>
<td>
0.000692
</td>
<td>
0.004167
</td>
<td>
0.1819
</td>
<td>
0.05501
</td>
<td>
0.4040
</td>
<td>
1.2140
</td>
<td>
2.5950
</td>
<td>
32.960
</td>
<td>
0.007491
</td>
<td>
0.008593
</td>
<td>
0.000692
</td>
<td>
0.004167
</td>
<td>
0.021900
</td>
<td>
0.002990
</td>
<td>
14.230
</td>
<td>
22.25
</td>
<td>
90.24
</td>
<td>
624.1
</td>
<td>
0.10210
</td>
<td>
0.06191
</td>
<td>
0.001845
</td>
<td>
0.011110
</td>
<td>
0.2439
</td>
<td>
0.06289
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
59
</th>
<td>
858477
</td>
<td>
B
</td>
<td>
8.618
</td>
<td>
11.79
</td>
<td>
54.34
</td>
<td>
224.5
</td>
<td>
0.09752
</td>
<td>
0.05272
</td>
<td>
0.020610
</td>
<td>
0.007799
</td>
<td>
0.1683
</td>
<td>
0.07187
</td>
<td>
0.1559
</td>
<td>
0.5796
</td>
<td>
1.0460
</td>
<td>
8.322
</td>
<td>
0.010110
</td>
<td>
0.010550
</td>
<td>
0.019810
</td>
<td>
0.005742
</td>
<td>
0.020900
</td>
<td>
0.002788
</td>
<td>
9.507
</td>
<td>
15.40
</td>
<td>
59.90
</td>
<td>
274.9
</td>
<td>
0.17330
</td>
<td>
0.12390
</td>
<td>
0.116800
</td>
<td>
0.044190
</td>
<td>
0.3220
</td>
<td>
0.09026
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
60
</th>
<td>
858970
</td>
<td>
B
</td>
<td>
10.170
</td>
<td>
14.88
</td>
<td>
64.55
</td>
<td>
311.9
</td>
<td>
0.11340
</td>
<td>
0.08061
</td>
<td>
0.010840
</td>
<td>
0.012900
</td>
<td>
0.2743
</td>
<td>
0.06960
</td>
<td>
0.5158
</td>
<td>
1.4410
</td>
<td>
3.3120
</td>
<td>
34.620
</td>
<td>
0.007514
</td>
<td>
0.010990
</td>
<td>
0.007665
</td>
<td>
0.008193
</td>
<td>
0.041830
</td>
<td>
0.005953
</td>
<td>
11.020
</td>
<td>
17.45
</td>
<td>
69.86
</td>
<td>
368.6
</td>
<td>
0.12750
</td>
<td>
0.09866
</td>
<td>
0.021680
</td>
<td>
0.025790
</td>
<td>
0.3557
</td>
<td>
0.08020
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
61
</th>
<td>
858981
</td>
<td>
B
</td>
<td>
8.598
</td>
<td>
20.98
</td>
<td>
54.66
</td>
<td>
221.8
</td>
<td>
0.12430
</td>
<td>
0.08963
</td>
<td>
0.030000
</td>
<td>
0.009259
</td>
<td>
0.1828
</td>
<td>
0.06757
</td>
<td>
0.3582
</td>
<td>
2.0670
</td>
<td>
2.4930
</td>
<td>
18.390
</td>
<td>
0.011930
</td>
<td>
0.031620
</td>
<td>
0.030000
</td>
<td>
0.009259
</td>
<td>
0.033570
</td>
<td>
0.003048
</td>
<td>
9.565
</td>
<td>
27.04
</td>
<td>
62.06
</td>
<td>
273.9
</td>
<td>
0.16390
</td>
<td>
0.16980
</td>
<td>
0.090010
</td>
<td>
0.027780
</td>
<td>
0.2972
</td>
<td>
0.07712
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
62
</th>
<td>
858986
</td>
<td>
M
</td>
<td>
14.250
</td>
<td>
22.15
</td>
<td>
96.42
</td>
<td>
645.7
</td>
<td>
0.10490
</td>
<td>
0.20080
</td>
<td>
0.213500
</td>
<td>
0.086530
</td>
<td>
0.1949
</td>
<td>
0.07292
</td>
<td>
0.7036
</td>
<td>
1.2680
</td>
<td>
5.3730
</td>
<td>
60.780
</td>
<td>
0.009407
</td>
<td>
0.070560
</td>
<td>
0.068990
</td>
<td>
0.018480
</td>
<td>
0.017000
</td>
<td>
0.006113
</td>
<td>
17.670
</td>
<td>
29.51
</td>
<td>
119.10
</td>
<td>
959.5
</td>
<td>
0.16400
</td>
<td>
0.62470
</td>
<td>
0.692200
</td>
<td>
0.178500
</td>
<td>
0.2844
</td>
<td>
0.11320
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
63
</th>
<td>
859196
</td>
<td>
B
</td>
<td>
9.173
</td>
<td>
13.86
</td>
<td>
59.20
</td>
<td>
260.9
</td>
<td>
0.07721
</td>
<td>
0.08751
</td>
<td>
0.059880
</td>
<td>
0.021800
</td>
<td>
0.2341
</td>
<td>
0.06963
</td>
<td>
0.4098
</td>
<td>
2.2650
</td>
<td>
2.6080
</td>
<td>
23.520
</td>
<td>
0.008738
</td>
<td>
0.039380
</td>
<td>
0.043120
</td>
<td>
0.015600
</td>
<td>
0.041920
</td>
<td>
0.005822
</td>
<td>
10.010
</td>
<td>
19.23
</td>
<td>
65.59
</td>
<td>
310.1
</td>
<td>
0.09836
</td>
<td>
0.16780
</td>
<td>
0.139700
</td>
<td>
0.050870
</td>
<td>
0.3282
</td>
<td>
0.08490
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
64
</th>
<td>
85922302
</td>
<td>
M
</td>
<td>
12.680
</td>
<td>
23.84
</td>
<td>
82.69
</td>
<td>
499.0
</td>
<td>
0.11220
</td>
<td>
0.12620
</td>
<td>
0.112800
</td>
<td>
0.068730
</td>
<td>
0.1905
</td>
<td>
0.06590
</td>
<td>
0.4255
</td>
<td>
1.1780
</td>
<td>
2.9270
</td>
<td>
36.460
</td>
<td>
0.007781
</td>
<td>
0.026480
</td>
<td>
0.029730
</td>
<td>
0.012900
</td>
<td>
0.016350
</td>
<td>
0.003601
</td>
<td>
17.090
</td>
<td>
33.47
</td>
<td>
111.80
</td>
<td>
888.3
</td>
<td>
0.18510
</td>
<td>
0.40610
</td>
<td>
0.402400
</td>
<td>
0.171600
</td>
<td>
0.3383
</td>
<td>
0.10310
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
65
</th>
<td>
859283
</td>
<td>
M
</td>
<td>
14.780
</td>
<td>
23.94
</td>
<td>
97.40
</td>
<td>
668.3
</td>
<td>
0.11720
</td>
<td>
0.14790
</td>
<td>
0.126700
</td>
<td>
0.090290
</td>
<td>
0.1953
</td>
<td>
0.06654
</td>
<td>
0.3577
</td>
<td>
1.2810
</td>
<td>
2.4500
</td>
<td>
35.240
</td>
<td>
0.006703
</td>
<td>
0.023100
</td>
<td>
0.023150
</td>
<td>
0.011840
</td>
<td>
0.019000
</td>
<td>
0.003224
</td>
<td>
17.310
</td>
<td>
33.39
</td>
<td>
114.60
</td>
<td>
925.1
</td>
<td>
0.16480
</td>
<td>
0.34160
</td>
<td>
0.302400
</td>
<td>
0.161400
</td>
<td>
0.3321
</td>
<td>
0.08911
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
66
</th>
<td>
859464
</td>
<td>
B
</td>
<td>
9.465
</td>
<td>
21.01
</td>
<td>
60.11
</td>
<td>
269.4
</td>
<td>
0.10440
</td>
<td>
0.07773
</td>
<td>
0.021720
</td>
<td>
0.015040
</td>
<td>
0.1717
</td>
<td>
0.06899
</td>
<td>
0.2351
</td>
<td>
2.0110
</td>
<td>
1.6600
</td>
<td>
14.200
</td>
<td>
0.010520
</td>
<td>
0.017550
</td>
<td>
0.017140
</td>
<td>
0.009333
</td>
<td>
0.022790
</td>
<td>
0.004237
</td>
<td>
10.410
</td>
<td>
31.56
</td>
<td>
67.03
</td>
<td>
330.7
</td>
<td>
0.15480
</td>
<td>
0.16640
</td>
<td>
0.094120
</td>
<td>
0.065170
</td>
<td>
0.2878
</td>
<td>
0.09211
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
67
</th>
<td>
859465
</td>
<td>
B
</td>
<td>
11.310
</td>
<td>
19.04
</td>
<td>
71.80
</td>
<td>
394.1
</td>
<td>
0.08139
</td>
<td>
0.04701
</td>
<td>
0.037090
</td>
<td>
0.022300
</td>
<td>
0.1516
</td>
<td>
0.05667
</td>
<td>
0.2727
</td>
<td>
0.9429
</td>
<td>
1.8310
</td>
<td>
18.150
</td>
<td>
0.009282
</td>
<td>
0.009216
</td>
<td>
0.020630
</td>
<td>
0.008965
</td>
<td>
0.021830
</td>
<td>
0.002146
</td>
<td>
12.330
</td>
<td>
23.84
</td>
<td>
78.00
</td>
<td>
466.7
</td>
<td>
0.12900
</td>
<td>
0.09148
</td>
<td>
0.144400
</td>
<td>
0.069610
</td>
<td>
0.2400
</td>
<td>
0.06641
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
68
</th>
<td>
859471
</td>
<td>
B
</td>
<td>
9.029
</td>
<td>
17.33
</td>
<td>
58.79
</td>
<td>
250.5
</td>
<td>
0.10660
</td>
<td>
0.14130
</td>
<td>
0.313000
</td>
<td>
0.043750
</td>
<td>
0.2111
</td>
<td>
0.08046
</td>
<td>
0.3274
</td>
<td>
1.1940
</td>
<td>
1.8850
</td>
<td>
17.670
</td>
<td>
0.009549
</td>
<td>
0.086060
</td>
<td>
0.303800
</td>
<td>
0.033220
</td>
<td>
0.041970
</td>
<td>
0.009559
</td>
<td>
10.310
</td>
<td>
22.65
</td>
<td>
65.50
</td>
<td>
324.7
</td>
<td>
0.14820
</td>
<td>
0.43650
</td>
<td>
1.252000
</td>
<td>
0.175000
</td>
<td>
0.4228
</td>
<td>
0.11750
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
69
</th>
<td>
859487
</td>
<td>
B
</td>
<td>
12.780
</td>
<td>
16.49
</td>
<td>
81.37
</td>
<td>
502.5
</td>
<td>
0.09831
</td>
<td>
0.05234
</td>
<td>
0.036530
</td>
<td>
0.028640
</td>
<td>
0.1590
</td>
<td>
0.05653
</td>
<td>
0.2368
</td>
<td>
0.8732
</td>
<td>
1.4710
</td>
<td>
18.330
</td>
<td>
0.007962
</td>
<td>
0.005612
</td>
<td>
0.015850
</td>
<td>
0.008662
</td>
<td>
0.022540
</td>
<td>
0.001906
</td>
<td>
13.460
</td>
<td>
19.76
</td>
<td>
85.67
</td>
<td>
554.9
</td>
<td>
0.12960
</td>
<td>
0.07061
</td>
<td>
0.103900
</td>
<td>
0.058820
</td>
<td>
0.2383
</td>
<td>
0.06410
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
70
</th>
<td>
859575
</td>
<td>
M
</td>
<td>
18.940
</td>
<td>
21.31
</td>
<td>
123.60
</td>
<td>
1130.0
</td>
<td>
0.09009
</td>
<td>
0.10290
</td>
<td>
0.108000
</td>
<td>
0.079510
</td>
<td>
0.1582
</td>
<td>
0.05461
</td>
<td>
0.7888
</td>
<td>
0.7975
</td>
<td>
5.4860
</td>
<td>
96.050
</td>
<td>
0.004444
</td>
<td>
0.016520
</td>
<td>
0.022690
</td>
<td>
0.013700
</td>
<td>
0.013860
</td>
<td>
0.001698
</td>
<td>
24.860
</td>
<td>
26.58
</td>
<td>
165.90
</td>
<td>
1866.0
</td>
<td>
0.11930
</td>
<td>
0.23360
</td>
<td>
0.268700
</td>
<td>
0.178900
</td>
<td>
0.2551
</td>
<td>
0.06589
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
71
</th>
<td>
859711
</td>
<td>
B
</td>
<td>
8.888
</td>
<td>
14.64
</td>
<td>
58.79
</td>
<td>
244.0
</td>
<td>
0.09783
</td>
<td>
0.15310
</td>
<td>
0.086060
</td>
<td>
0.028720
</td>
<td>
0.1902
</td>
<td>
0.08980
</td>
<td>
0.5262
</td>
<td>
0.8522
</td>
<td>
3.1680
</td>
<td>
25.440
</td>
<td>
0.017210
</td>
<td>
0.093680
</td>
<td>
0.056710
</td>
<td>
0.017660
</td>
<td>
0.025410
</td>
<td>
0.021930
</td>
<td>
9.733
</td>
<td>
15.67
</td>
<td>
62.56
</td>
<td>
284.4
</td>
<td>
0.12070
</td>
<td>
0.24360
</td>
<td>
0.143400
</td>
<td>
0.047860
</td>
<td>
0.2254
</td>
<td>
0.10840
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
72
</th>
<td>
859717
</td>
<td>
M
</td>
<td>
17.200
</td>
<td>
24.52
</td>
<td>
114.20
</td>
<td>
929.4
</td>
<td>
0.10710
</td>
<td>
0.18300
</td>
<td>
0.169200
</td>
<td>
0.079440
</td>
<td>
0.1927
</td>
<td>
0.06487
</td>
<td>
0.5907
</td>
<td>
1.0410
</td>
<td>
3.7050
</td>
<td>
69.470
</td>
<td>
0.005820
</td>
<td>
0.056160
</td>
<td>
0.042520
</td>
<td>
0.011270
</td>
<td>
0.015270
</td>
<td>
0.006299
</td>
<td>
23.320
</td>
<td>
33.82
</td>
<td>
151.60
</td>
<td>
1681.0
</td>
<td>
0.15850
</td>
<td>
0.73940
</td>
<td>
0.656600
</td>
<td>
0.189900
</td>
<td>
0.3313
</td>
<td>
0.13390
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
73
</th>
<td>
859983
</td>
<td>
M
</td>
<td>
13.800
</td>
<td>
15.79
</td>
<td>
90.43
</td>
<td>
584.1
</td>
<td>
0.10070
</td>
<td>
0.12800
</td>
<td>
0.077890
</td>
<td>
0.050690
</td>
<td>
0.1662
</td>
<td>
0.06566
</td>
<td>
0.2787
</td>
<td>
0.6205
</td>
<td>
1.9570
</td>
<td>
23.350
</td>
<td>
0.004717
</td>
<td>
0.020650
</td>
<td>
0.017590
</td>
<td>
0.009206
</td>
<td>
0.012200
</td>
<td>
0.003130
</td>
<td>
16.570
</td>
<td>
20.86
</td>
<td>
110.30
</td>
<td>
812.4
</td>
<td>
0.14110
</td>
<td>
0.35420
</td>
<td>
0.277900
</td>
<td>
0.138300
</td>
<td>
0.2589
</td>
<td>
0.10300
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
74
</th>
<td>
8610175
</td>
<td>
B
</td>
<td>
12.310
</td>
<td>
16.52
</td>
<td>
79.19
</td>
<td>
470.9
</td>
<td>
0.09172
</td>
<td>
0.06829
</td>
<td>
0.033720
</td>
<td>
0.022720
</td>
<td>
0.1720
</td>
<td>
0.05914
</td>
<td>
0.2505
</td>
<td>
1.0250
</td>
<td>
1.7400
</td>
<td>
19.680
</td>
<td>
0.004854
</td>
<td>
0.018190
</td>
<td>
0.018260
</td>
<td>
0.007965
</td>
<td>
0.013860
</td>
<td>
0.002304
</td>
<td>
14.110
</td>
<td>
23.21
</td>
<td>
89.71
</td>
<td>
611.1
</td>
<td>
0.11760
</td>
<td>
0.18430
</td>
<td>
0.170300
</td>
<td>
0.086600
</td>
<td>
0.2618
</td>
<td>
0.07609
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
75
</th>
<td>
8610404
</td>
<td>
M
</td>
<td>
16.070
</td>
<td>
19.65
</td>
<td>
104.10
</td>
<td>
817.7
</td>
<td>
0.09168
</td>
<td>
0.08424
</td>
<td>
0.097690
</td>
<td>
0.066380
</td>
<td>
0.1798
</td>
<td>
0.05391
</td>
<td>
0.7474
</td>
<td>
1.0160
</td>
<td>
5.0290
</td>
<td>
79.250
</td>
<td>
0.010820
</td>
<td>
0.022030
</td>
<td>
0.035000
</td>
<td>
0.018090
</td>
<td>
0.015500
</td>
<td>
0.001948
</td>
<td>
19.770
</td>
<td>
24.56
</td>
<td>
128.80
</td>
<td>
1223.0
</td>
<td>
0.15000
</td>
<td>
0.20450
</td>
<td>
0.282900
</td>
<td>
0.152000
</td>
<td>
0.2650
</td>
<td>
0.06387
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
76
</th>
<td>
8610629
</td>
<td>
B
</td>
<td>
13.530
</td>
<td>
10.94
</td>
<td>
87.91
</td>
<td>
559.2
</td>
<td>
0.12910
</td>
<td>
0.10470
</td>
<td>
0.068770
</td>
<td>
0.065560
</td>
<td>
0.2403
</td>
<td>
0.06641
</td>
<td>
0.4101
</td>
<td>
1.0140
</td>
<td>
2.6520
</td>
<td>
32.650
</td>
<td>
0.013400
</td>
<td>
0.028390
</td>
<td>
0.011620
</td>
<td>
0.008239
</td>
<td>
0.025720
</td>
<td>
0.006164
</td>
<td>
14.080
</td>
<td>
12.49
</td>
<td>
91.36
</td>
<td>
605.5
</td>
<td>
0.14510
</td>
<td>
0.13790
</td>
<td>
0.085390
</td>
<td>
0.074070
</td>
<td>
0.2710
</td>
<td>
0.07191
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
77
</th>
<td>
8610637
</td>
<td>
M
</td>
<td>
18.050
</td>
<td>
16.15
</td>
<td>
120.20
</td>
<td>
1006.0
</td>
<td>
0.10650
</td>
<td>
0.21460
</td>
<td>
0.168400
</td>
<td>
0.108000
</td>
<td>
0.2152
</td>
<td>
0.06673
</td>
<td>
0.9806
</td>
<td>
0.5505
</td>
<td>
6.3110
</td>
<td>
134.800
</td>
<td>
0.007940
</td>
<td>
0.058390
</td>
<td>
0.046580
</td>
<td>
0.020700
</td>
<td>
0.025910
</td>
<td>
0.007054
</td>
<td>
22.390
</td>
<td>
18.91
</td>
<td>
150.10
</td>
<td>
1610.0
</td>
<td>
0.14780
</td>
<td>
0.56340
</td>
<td>
0.378600
</td>
<td>
0.210200
</td>
<td>
0.3751
</td>
<td>
0.11080
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
78
</th>
<td>
8610862
</td>
<td>
M
</td>
<td>
20.180
</td>
<td>
23.97
</td>
<td>
143.70
</td>
<td>
1245.0
</td>
<td>
0.12860
</td>
<td>
0.34540
</td>
<td>
0.375400
</td>
<td>
0.160400
</td>
<td>
0.2906
</td>
<td>
0.08142
</td>
<td>
0.9317
</td>
<td>
1.8850
</td>
<td>
8.6490
</td>
<td>
116.400
</td>
<td>
0.010380
</td>
<td>
0.068350
</td>
<td>
0.109100
</td>
<td>
0.025930
</td>
<td>
0.078950
</td>
<td>
0.005987
</td>
<td>
23.370
</td>
<td>
31.72
</td>
<td>
170.30
</td>
<td>
1623.0
</td>
<td>
0.16390
</td>
<td>
0.61640
</td>
<td>
0.768100
</td>
<td>
0.250800
</td>
<td>
0.5440
</td>
<td>
0.09964
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
79
</th>
<td>
8610908
</td>
<td>
B
</td>
<td>
12.860
</td>
<td>
18.00
</td>
<td>
83.19
</td>
<td>
506.3
</td>
<td>
0.09934
</td>
<td>
0.09546
</td>
<td>
0.038890
</td>
<td>
0.023150
</td>
<td>
0.1718
</td>
<td>
0.05997
</td>
<td>
0.2655
</td>
<td>
1.0950
</td>
<td>
1.7780
</td>
<td>
20.350
</td>
<td>
0.005293
</td>
<td>
0.016610
</td>
<td>
0.020710
</td>
<td>
0.008179
</td>
<td>
0.017480
</td>
<td>
0.002848
</td>
<td>
14.240
</td>
<td>
24.82
</td>
<td>
91.88
</td>
<td>
622.1
</td>
<td>
0.12890
</td>
<td>
0.21410
</td>
<td>
0.173100
</td>
<td>
0.079260
</td>
<td>
0.2779
</td>
<td>
0.07918
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
80
</th>
<td>
861103
</td>
<td>
B
</td>
<td>
11.450
</td>
<td>
20.97
</td>
<td>
73.81
</td>
<td>
401.5
</td>
<td>
0.11020
</td>
<td>
0.09362
</td>
<td>
0.045910
</td>
<td>
0.022330
</td>
<td>
0.1842
</td>
<td>
0.07005
</td>
<td>
0.3251
</td>
<td>
2.1740
</td>
<td>
2.0770
</td>
<td>
24.620
</td>
<td>
0.010370
</td>
<td>
0.017060
</td>
<td>
0.025860
</td>
<td>
0.007506
</td>
<td>
0.018160
</td>
<td>
0.003976
</td>
<td>
13.110
</td>
<td>
32.16
</td>
<td>
84.53
</td>
<td>
525.1
</td>
<td>
0.15570
</td>
<td>
0.16760
</td>
<td>
0.175500
</td>
<td>
0.061270
</td>
<td>
0.2762
</td>
<td>
0.08851
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
81
</th>
<td>
8611161
</td>
<td>
B
</td>
<td>
13.340
</td>
<td>
15.86
</td>
<td>
86.49
</td>
<td>
520.0
</td>
<td>
0.10780
</td>
<td>
0.15350
</td>
<td>
0.116900
</td>
<td>
0.069870
</td>
<td>
0.1942
</td>
<td>
0.06902
</td>
<td>
0.2860
</td>
<td>
1.0160
</td>
<td>
1.5350
</td>
<td>
12.960
</td>
<td>
0.006794
</td>
<td>
0.035750
</td>
<td>
0.039800
</td>
<td>
0.013830
</td>
<td>
0.021340
</td>
<td>
0.004603
</td>
<td>
15.530
</td>
<td>
23.19
</td>
<td>
96.66
</td>
<td>
614.9
</td>
<td>
0.15360
</td>
<td>
0.47910
</td>
<td>
0.485800
</td>
<td>
0.170800
</td>
<td>
0.3527
</td>
<td>
0.10160
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
82
</th>
<td>
8611555
</td>
<td>
M
</td>
<td>
25.220
</td>
<td>
24.91
</td>
<td>
171.50
</td>
<td>
1878.0
</td>
<td>
0.10630
</td>
<td>
0.26650
</td>
<td>
0.333900
</td>
<td>
0.184500
</td>
<td>
0.1829
</td>
<td>
0.06782
</td>
<td>
0.8973
</td>
<td>
1.4740
</td>
<td>
7.3820
</td>
<td>
120.000
</td>
<td>
0.008166
</td>
<td>
0.056930
</td>
<td>
0.057300
</td>
<td>
0.020300
</td>
<td>
0.010650
</td>
<td>
0.005893
</td>
<td>
30.000
</td>
<td>
33.62
</td>
<td>
211.70
</td>
<td>
2562.0
</td>
<td>
0.15730
</td>
<td>
0.60760
</td>
<td>
0.647600
</td>
<td>
0.286700
</td>
<td>
0.2355
</td>
<td>
0.10510
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
83
</th>
<td>
8611792
</td>
<td>
M
</td>
<td>
19.100
</td>
<td>
26.29
</td>
<td>
129.10
</td>
<td>
1132.0
</td>
<td>
0.12150
</td>
<td>
0.17910
</td>
<td>
0.193700
</td>
<td>
0.146900
</td>
<td>
0.1634
</td>
<td>
0.07224
</td>
<td>
0.5190
</td>
<td>
2.9100
</td>
<td>
5.8010
</td>
<td>
67.100
</td>
<td>
0.007545
</td>
<td>
0.060500
</td>
<td>
0.021340
</td>
<td>
0.018430
</td>
<td>
0.030560
</td>
<td>
0.010390
</td>
<td>
20.330
</td>
<td>
32.72
</td>
<td>
141.30
</td>
<td>
1298.0
</td>
<td>
0.13920
</td>
<td>
0.28170
</td>
<td>
0.243200
</td>
<td>
0.184100
</td>
<td>
0.2311
</td>
<td>
0.09203
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
84
</th>
<td>
8612080
</td>
<td>
B
</td>
<td>
12.000
</td>
<td>
15.65
</td>
<td>
76.95
</td>
<td>
443.3
</td>
<td>
0.09723
</td>
<td>
0.07165
</td>
<td>
0.041510
</td>
<td>
0.018630
</td>
<td>
0.2079
</td>
<td>
0.05968
</td>
<td>
0.2271
</td>
<td>
1.2550
</td>
<td>
1.4410
</td>
<td>
16.160
</td>
<td>
0.005969
</td>
<td>
0.018120
</td>
<td>
0.020070
</td>
<td>
0.007027
</td>
<td>
0.019720
</td>
<td>
0.002607
</td>
<td>
13.670
</td>
<td>
24.90
</td>
<td>
87.78
</td>
<td>
567.9
</td>
<td>
0.13770
</td>
<td>
0.20030
</td>
<td>
0.226700
</td>
<td>
0.076320
</td>
<td>
0.3379
</td>
<td>
0.07924
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
85
</th>
<td>
8612399
</td>
<td>
M
</td>
<td>
18.460
</td>
<td>
18.52
</td>
<td>
121.10
</td>
<td>
1075.0
</td>
<td>
0.09874
</td>
<td>
0.10530
</td>
<td>
0.133500
</td>
<td>
0.087950
</td>
<td>
0.2132
</td>
<td>
0.06022
</td>
<td>
0.6997
</td>
<td>
1.4750
</td>
<td>
4.7820
</td>
<td>
80.600
</td>
<td>
0.006471
</td>
<td>
0.016490
</td>
<td>
0.028060
</td>
<td>
0.014200
</td>
<td>
0.023700
</td>
<td>
0.003755
</td>
<td>
22.930
</td>
<td>
27.68
</td>
<td>
152.20
</td>
<td>
1603.0
</td>
<td>
0.13980
</td>
<td>
0.20890
</td>
<td>
0.315700
</td>
<td>
0.164200
</td>
<td>
0.3695
</td>
<td>
0.08579
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
86
</th>
<td>
86135501
</td>
<td>
M
</td>
<td>
14.480
</td>
<td>
21.46
</td>
<td>
94.25
</td>
<td>
648.2
</td>
<td>
0.09444
</td>
<td>
0.09947
</td>
<td>
0.120400
</td>
<td>
0.049380
</td>
<td>
0.2075
</td>
<td>
0.05636
</td>
<td>
0.4204
</td>
<td>
2.2200
</td>
<td>
3.3010
</td>
<td>
38.870
</td>
<td>
0.009369
</td>
<td>
0.029830
</td>
<td>
0.053710
</td>
<td>
0.017610
</td>
<td>
0.024180
</td>
<td>
0.003249
</td>
<td>
16.210
</td>
<td>
29.25
</td>
<td>
108.40
</td>
<td>
808.9
</td>
<td>
0.13060
</td>
<td>
0.19760
</td>
<td>
0.334900
</td>
<td>
0.122500
</td>
<td>
0.3020
</td>
<td>
0.06846
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
87
</th>
<td>
86135502
</td>
<td>
M
</td>
<td>
19.020
</td>
<td>
24.59
</td>
<td>
122.00
</td>
<td>
1076.0
</td>
<td>
0.09029
</td>
<td>
0.12060
</td>
<td>
0.146800
</td>
<td>
0.082710
</td>
<td>
0.1953
</td>
<td>
0.05629
</td>
<td>
0.5495
</td>
<td>
0.6636
</td>
<td>
3.0550
</td>
<td>
57.650
</td>
<td>
0.003872
</td>
<td>
0.018420
</td>
<td>
0.037100
</td>
<td>
0.012000
</td>
<td>
0.019640
</td>
<td>
0.003337
</td>
<td>
24.560
</td>
<td>
30.41
</td>
<td>
152.90
</td>
<td>
1623.0
</td>
<td>
0.12490
</td>
<td>
0.32060
</td>
<td>
0.575500
</td>
<td>
0.195600
</td>
<td>
0.3956
</td>
<td>
0.09288
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
88
</th>
<td>
861597
</td>
<td>
B
</td>
<td>
12.360
</td>
<td>
21.80
</td>
<td>
79.78
</td>
<td>
466.1
</td>
<td>
0.08772
</td>
<td>
0.09445
</td>
<td>
0.060150
</td>
<td>
0.037450
</td>
<td>
0.1930
</td>
<td>
0.06404
</td>
<td>
0.2978
</td>
<td>
1.5020
</td>
<td>
2.2030
</td>
<td>
20.950
</td>
<td>
0.007112
</td>
<td>
0.024930
</td>
<td>
0.027030
</td>
<td>
0.012930
</td>
<td>
0.019580
</td>
<td>
0.004463
</td>
<td>
13.830
</td>
<td>
30.50
</td>
<td>
91.46
</td>
<td>
574.7
</td>
<td>
0.13040
</td>
<td>
0.24630
</td>
<td>
0.243400
</td>
<td>
0.120500
</td>
<td>
0.2972
</td>
<td>
0.09261
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
89
</th>
<td>
861598
</td>
<td>
B
</td>
<td>
14.640
</td>
<td>
15.24
</td>
<td>
95.77
</td>
<td>
651.9
</td>
<td>
0.11320
</td>
<td>
0.13390
</td>
<td>
0.099660
</td>
<td>
0.070640
</td>
<td>
0.2116
</td>
<td>
0.06346
</td>
<td>
0.5115
</td>
<td>
0.7372
</td>
<td>
3.8140
</td>
<td>
42.760
</td>
<td>
0.005508
</td>
<td>
0.044120
</td>
<td>
0.044360
</td>
<td>
0.016230
</td>
<td>
0.024270
</td>
<td>
0.004841
</td>
<td>
16.340
</td>
<td>
18.24
</td>
<td>
109.40
</td>
<td>
803.6
</td>
<td>
0.12770
</td>
<td>
0.30890
</td>
<td>
0.260400
</td>
<td>
0.139700
</td>
<td>
0.3151
</td>
<td>
0.08473
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
90
</th>
<td>
861648
</td>
<td>
B
</td>
<td>
14.620
</td>
<td>
24.02
</td>
<td>
94.57
</td>
<td>
662.7
</td>
<td>
0.08974
</td>
<td>
0.08606
</td>
<td>
0.031020
</td>
<td>
0.029570
</td>
<td>
0.1685
</td>
<td>
0.05866
</td>
<td>
0.3721
</td>
<td>
1.1110
</td>
<td>
2.2790
</td>
<td>
33.760
</td>
<td>
0.004868
</td>
<td>
0.018180
</td>
<td>
0.011210
</td>
<td>
0.008606
</td>
<td>
0.020850
</td>
<td>
0.002893
</td>
<td>
16.110
</td>
<td>
29.11
</td>
<td>
102.90
</td>
<td>
803.7
</td>
<td>
0.11150
</td>
<td>
0.17660
</td>
<td>
0.091890
</td>
<td>
0.069460
</td>
<td>
0.2522
</td>
<td>
0.07246
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
91
</th>
<td>
861799
</td>
<td>
M
</td>
<td>
15.370
</td>
<td>
22.76
</td>
<td>
100.20
</td>
<td>
728.2
</td>
<td>
0.09200
</td>
<td>
0.10360
</td>
<td>
0.112200
</td>
<td>
0.074830
</td>
<td>
0.1717
</td>
<td>
0.06097
</td>
<td>
0.3129
</td>
<td>
0.8413
</td>
<td>
2.0750
</td>
<td>
29.440
</td>
<td>
0.009882
</td>
<td>
0.024440
</td>
<td>
0.045310
</td>
<td>
0.017630
</td>
<td>
0.024710
</td>
<td>
0.002142
</td>
<td>
16.430
</td>
<td>
25.84
</td>
<td>
107.50
</td>
<td>
830.9
</td>
<td>
0.12570
</td>
<td>
0.19970
</td>
<td>
0.284600
</td>
<td>
0.147600
</td>
<td>
0.2556
</td>
<td>
0.06828
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
92
</th>
<td>
861853
</td>
<td>
B
</td>
<td>
13.270
</td>
<td>
14.76
</td>
<td>
84.74
</td>
<td>
551.7
</td>
<td>
0.07355
</td>
<td>
0.05055
</td>
<td>
0.032610
</td>
<td>
0.026480
</td>
<td>
0.1386
</td>
<td>
0.05318
</td>
<td>
0.4057
</td>
<td>
1.1530
</td>
<td>
2.7010
</td>
<td>
36.350
</td>
<td>
0.004481
</td>
<td>
0.010380
</td>
<td>
0.013580
</td>
<td>
0.010820
</td>
<td>
0.010690
</td>
<td>
0.001435
</td>
<td>
16.360
</td>
<td>
22.35
</td>
<td>
104.50
</td>
<td>
830.6
</td>
<td>
0.10060
</td>
<td>
0.12380
</td>
<td>
0.135000
</td>
<td>
0.100100
</td>
<td>
0.2027
</td>
<td>
0.06206
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
93
</th>
<td>
862009
</td>
<td>
B
</td>
<td>
13.450
</td>
<td>
18.30
</td>
<td>
86.60
</td>
<td>
555.1
</td>
<td>
0.10220
</td>
<td>
0.08165
</td>
<td>
0.039740
</td>
<td>
0.027800
</td>
<td>
0.1638
</td>
<td>
0.05710
</td>
<td>
0.2950
</td>
<td>
1.3730
</td>
<td>
2.0990
</td>
<td>
25.220
</td>
<td>
0.005884
</td>
<td>
0.014910
</td>
<td>
0.018720
</td>
<td>
0.009366
</td>
<td>
0.018840
</td>
<td>
0.001817
</td>
<td>
15.100
</td>
<td>
25.94
</td>
<td>
97.59
</td>
<td>
699.4
</td>
<td>
0.13390
</td>
<td>
0.17510
</td>
<td>
0.138100
</td>
<td>
0.079110
</td>
<td>
0.2678
</td>
<td>
0.06603
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
94
</th>
<td>
862028
</td>
<td>
M
</td>
<td>
15.060
</td>
<td>
19.83
</td>
<td>
100.30
</td>
<td>
705.6
</td>
<td>
0.10390
</td>
<td>
0.15530
</td>
<td>
0.170000
</td>
<td>
0.088150
</td>
<td>
0.1855
</td>
<td>
0.06284
</td>
<td>
0.4768
</td>
<td>
0.9644
</td>
<td>
3.7060
</td>
<td>
47.140
</td>
<td>
0.009250
</td>
<td>
0.037150
</td>
<td>
0.048670
</td>
<td>
0.018510
</td>
<td>
0.014980
</td>
<td>
0.003520
</td>
<td>
18.230
</td>
<td>
24.23
</td>
<td>
123.50
</td>
<td>
1025.0
</td>
<td>
0.15510
</td>
<td>
0.42030
</td>
<td>
0.520300
</td>
<td>
0.211500
</td>
<td>
0.2834
</td>
<td>
0.08234
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
95
</th>
<td>
86208
</td>
<td>
M
</td>
<td>
20.260
</td>
<td>
23.03
</td>
<td>
132.40
</td>
<td>
1264.0
</td>
<td>
0.09078
</td>
<td>
0.13130
</td>
<td>
0.146500
</td>
<td>
0.086830
</td>
<td>
0.2095
</td>
<td>
0.05649
</td>
<td>
0.7576
</td>
<td>
1.5090
</td>
<td>
4.5540
</td>
<td>
87.870
</td>
<td>
0.006016
</td>
<td>
0.034820
</td>
<td>
0.042320
</td>
<td>
0.012690
</td>
<td>
0.026570
</td>
<td>
0.004411
</td>
<td>
24.220
</td>
<td>
31.59
</td>
<td>
156.10
</td>
<td>
1750.0
</td>
<td>
0.11900
</td>
<td>
0.35390
</td>
<td>
0.409800
</td>
<td>
0.157300
</td>
<td>
0.3689
</td>
<td>
0.08368
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
96
</th>
<td>
86211
</td>
<td>
B
</td>
<td>
12.180
</td>
<td>
17.84
</td>
<td>
77.79
</td>
<td>
451.1
</td>
<td>
0.10450
</td>
<td>
0.07057
</td>
<td>
0.024900
</td>
<td>
0.029410
</td>
<td>
0.1900
</td>
<td>
0.06635
</td>
<td>
0.3661
</td>
<td>
1.5110
</td>
<td>
2.4100
</td>
<td>
24.440
</td>
<td>
0.005433
</td>
<td>
0.011790
</td>
<td>
0.011310
</td>
<td>
0.015190
</td>
<td>
0.022200
</td>
<td>
0.003408
</td>
<td>
12.830
</td>
<td>
20.92
</td>
<td>
82.14
</td>
<td>
495.2
</td>
<td>
0.11400
</td>
<td>
0.09358
</td>
<td>
0.049800
</td>
<td>
0.058820
</td>
<td>
0.2227
</td>
<td>
0.07376
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
97
</th>
<td>
862261
</td>
<td>
B
</td>
<td>
9.787
</td>
<td>
19.94
</td>
<td>
62.11
</td>
<td>
294.5
</td>
<td>
0.10240
</td>
<td>
0.05301
</td>
<td>
0.006829
</td>
<td>
0.007937
</td>
<td>
0.1350
</td>
<td>
0.06890
</td>
<td>
0.3350
</td>
<td>
2.0430
</td>
<td>
2.1320
</td>
<td>
20.050
</td>
<td>
0.011130
</td>
<td>
0.014630
</td>
<td>
0.005308
</td>
<td>
0.005250
</td>
<td>
0.018010
</td>
<td>
0.005667
</td>
<td>
10.920
</td>
<td>
26.29
</td>
<td>
68.81
</td>
<td>
366.1
</td>
<td>
0.13160
</td>
<td>
0.09473
</td>
<td>
0.020490
</td>
<td>
0.023810
</td>
<td>
0.1934
</td>
<td>
0.08988
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
98
</th>
<td>
862485
</td>
<td>
B
</td>
<td>
11.600
</td>
<td>
12.84
</td>
<td>
74.34
</td>
<td>
412.6
</td>
<td>
0.08983
</td>
<td>
0.07525
</td>
<td>
0.041960
</td>
<td>
0.033500
</td>
<td>
0.1620
</td>
<td>
0.06582
</td>
<td>
0.2315
</td>
<td>
0.5391
</td>
<td>
1.4750
</td>
<td>
15.750
</td>
<td>
0.006153
</td>
<td>
0.013300
</td>
<td>
0.016930
</td>
<td>
0.006884
</td>
<td>
0.016510
</td>
<td>
0.002551
</td>
<td>
13.060
</td>
<td>
17.16
</td>
<td>
82.96
</td>
<td>
512.5
</td>
<td>
0.14310
</td>
<td>
0.18510
</td>
<td>
0.192200
</td>
<td>
0.084490
</td>
<td>
0.2772
</td>
<td>
0.08756
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
99
</th>
<td>
862548
</td>
<td>
M
</td>
<td>
14.420
</td>
<td>
19.77
</td>
<td>
94.48
</td>
<td>
642.5
</td>
<td>
0.09752
</td>
<td>
0.11410
</td>
<td>
0.093880
</td>
<td>
0.058390
</td>
<td>
0.1879
</td>
<td>
0.06390
</td>
<td>
0.2895
</td>
<td>
1.8510
</td>
<td>
2.3760
</td>
<td>
26.850
</td>
<td>
0.008005
</td>
<td>
0.028950
</td>
<td>
0.033210
</td>
<td>
0.014240
</td>
<td>
0.014620
</td>
<td>
0.004452
</td>
<td>
16.330
</td>
<td>
30.86
</td>
<td>
109.50
</td>
<td>
826.4
</td>
<td>
0.14310
</td>
<td>
0.30260
</td>
<td>
0.319400
</td>
<td>
0.156500
</td>
<td>
0.2718
</td>
<td>
0.09353
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
100
</th>
<td>
862717
</td>
<td>
M
</td>
<td>
13.610
</td>
<td>
24.98
</td>
<td>
88.05
</td>
<td>
582.7
</td>
<td>
0.09488
</td>
<td>
0.08511
</td>
<td>
0.086250
</td>
<td>
0.044890
</td>
<td>
0.1609
</td>
<td>
0.05871
</td>
<td>
0.4565
</td>
<td>
1.2900
</td>
<td>
2.8610
</td>
<td>
43.140
</td>
<td>
0.005872
</td>
<td>
0.014880
</td>
<td>
0.026470
</td>
<td>
0.009921
</td>
<td>
0.014650
</td>
<td>
0.002355
</td>
<td>
16.990
</td>
<td>
35.27
</td>
<td>
108.60
</td>
<td>
906.5
</td>
<td>
0.12650
</td>
<td>
0.19430
</td>
<td>
0.316900
</td>
<td>
0.118400
</td>
<td>
0.2651
</td>
<td>
0.07397
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
101
</th>
<td>
862722
</td>
<td>
B
</td>
<td>
6.981
</td>
<td>
13.43
</td>
<td>
43.79
</td>
<td>
143.5
</td>
<td>
0.11700
</td>
<td>
0.07568
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1930
</td>
<td>
0.07818
</td>
<td>
0.2241
</td>
<td>
1.5080
</td>
<td>
1.5530
</td>
<td>
9.833
</td>
<td>
0.010190
</td>
<td>
0.010840
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.026590
</td>
<td>
0.004100
</td>
<td>
7.930
</td>
<td>
19.54
</td>
<td>
50.41
</td>
<td>
185.2
</td>
<td>
0.15840
</td>
<td>
0.12020
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2932
</td>
<td>
0.09382
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
102
</th>
<td>
862965
</td>
<td>
B
</td>
<td>
12.180
</td>
<td>
20.52
</td>
<td>
77.22
</td>
<td>
458.7
</td>
<td>
0.08013
</td>
<td>
0.04038
</td>
<td>
0.023830
</td>
<td>
0.017700
</td>
<td>
0.1739
</td>
<td>
0.05677
</td>
<td>
0.1924
</td>
<td>
1.5710
</td>
<td>
1.1830
</td>
<td>
14.680
</td>
<td>
0.005080
</td>
<td>
0.006098
</td>
<td>
0.010690
</td>
<td>
0.006797
</td>
<td>
0.014470
</td>
<td>
0.001532
</td>
<td>
13.340
</td>
<td>
32.84
</td>
<td>
84.58
</td>
<td>
547.8
</td>
<td>
0.11230
</td>
<td>
0.08862
</td>
<td>
0.114500
</td>
<td>
0.074310
</td>
<td>
0.2694
</td>
<td>
0.06878
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
103
</th>
<td>
862980
</td>
<td>
B
</td>
<td>
9.876
</td>
<td>
19.40
</td>
<td>
63.95
</td>
<td>
298.3
</td>
<td>
0.10050
</td>
<td>
0.09697
</td>
<td>
0.061540
</td>
<td>
0.030290
</td>
<td>
0.1945
</td>
<td>
0.06322
</td>
<td>
0.1803
</td>
<td>
1.2220
</td>
<td>
1.5280
</td>
<td>
11.770
</td>
<td>
0.009058
</td>
<td>
0.021960
</td>
<td>
0.030290
</td>
<td>
0.011120
</td>
<td>
0.016090
</td>
<td>
0.003570
</td>
<td>
10.760
</td>
<td>
26.83
</td>
<td>
72.22
</td>
<td>
361.2
</td>
<td>
0.15590
</td>
<td>
0.23020
</td>
<td>
0.264400
</td>
<td>
0.097490
</td>
<td>
0.2622
</td>
<td>
0.08490
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
104
</th>
<td>
862989
</td>
<td>
B
</td>
<td>
10.490
</td>
<td>
19.29
</td>
<td>
67.41
</td>
<td>
336.1
</td>
<td>
0.09989
</td>
<td>
0.08578
</td>
<td>
0.029950
</td>
<td>
0.012010
</td>
<td>
0.2217
</td>
<td>
0.06481
</td>
<td>
0.3550
</td>
<td>
1.5340
</td>
<td>
2.3020
</td>
<td>
23.130
</td>
<td>
0.007595
</td>
<td>
0.022190
</td>
<td>
0.028800
</td>
<td>
0.008614
</td>
<td>
0.027100
</td>
<td>
0.003451
</td>
<td>
11.540
</td>
<td>
23.31
</td>
<td>
74.22
</td>
<td>
402.8
</td>
<td>
0.12190
</td>
<td>
0.14860
</td>
<td>
0.079870
</td>
<td>
0.032030
</td>
<td>
0.2826
</td>
<td>
0.07552
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
105
</th>
<td>
863030
</td>
<td>
M
</td>
<td>
13.110
</td>
<td>
15.56
</td>
<td>
87.21
</td>
<td>
530.2
</td>
<td>
0.13980
</td>
<td>
0.17650
</td>
<td>
0.207100
</td>
<td>
0.096010
</td>
<td>
0.1925
</td>
<td>
0.07692
</td>
<td>
0.3908
</td>
<td>
0.9238
</td>
<td>
2.4100
</td>
<td>
34.660
</td>
<td>
0.007162
</td>
<td>
0.029120
</td>
<td>
0.054730
</td>
<td>
0.013880
</td>
<td>
0.015470
</td>
<td>
0.007098
</td>
<td>
16.310
</td>
<td>
22.40
</td>
<td>
106.40
</td>
<td>
827.2
</td>
<td>
0.18620
</td>
<td>
0.40990
</td>
<td>
0.637600
</td>
<td>
0.198600
</td>
<td>
0.3147
</td>
<td>
0.14050
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
106
</th>
<td>
863031
</td>
<td>
B
</td>
<td>
11.640
</td>
<td>
18.33
</td>
<td>
75.17
</td>
<td>
412.5
</td>
<td>
0.11420
</td>
<td>
0.10170
</td>
<td>
0.070700
</td>
<td>
0.034850
</td>
<td>
0.1801
</td>
<td>
0.06520
</td>
<td>
0.3060
</td>
<td>
1.6570
</td>
<td>
2.1550
</td>
<td>
20.620
</td>
<td>
0.008540
</td>
<td>
0.023100
</td>
<td>
0.029450
</td>
<td>
0.013980
</td>
<td>
0.015650
</td>
<td>
0.003840
</td>
<td>
13.140
</td>
<td>
29.26
</td>
<td>
85.51
</td>
<td>
521.7
</td>
<td>
0.16880
</td>
<td>
0.26600
</td>
<td>
0.287300
</td>
<td>
0.121800
</td>
<td>
0.2806
</td>
<td>
0.09097
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
107
</th>
<td>
863270
</td>
<td>
B
</td>
<td>
12.360
</td>
<td>
18.54
</td>
<td>
79.01
</td>
<td>
466.7
</td>
<td>
0.08477
</td>
<td>
0.06815
</td>
<td>
0.026430
</td>
<td>
0.019210
</td>
<td>
0.1602
</td>
<td>
0.06066
</td>
<td>
0.1199
</td>
<td>
0.8944
</td>
<td>
0.8484
</td>
<td>
9.227
</td>
<td>
0.003457
</td>
<td>
0.010470
</td>
<td>
0.011670
</td>
<td>
0.005558
</td>
<td>
0.012510
</td>
<td>
0.001356
</td>
<td>
13.290
</td>
<td>
27.49
</td>
<td>
85.56
</td>
<td>
544.1
</td>
<td>
0.11840
</td>
<td>
0.19630
</td>
<td>
0.193700
</td>
<td>
0.084420
</td>
<td>
0.2983
</td>
<td>
0.07185
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
108
</th>
<td>
86355
</td>
<td>
M
</td>
<td>
22.270
</td>
<td>
19.67
</td>
<td>
152.80
</td>
<td>
1509.0
</td>
<td>
0.13260
</td>
<td>
0.27680
</td>
<td>
0.426400
</td>
<td>
0.182300
</td>
<td>
0.2556
</td>
<td>
0.07039
</td>
<td>
1.2150
</td>
<td>
1.5450
</td>
<td>
10.0500
</td>
<td>
170.000
</td>
<td>
0.006515
</td>
<td>
0.086680
</td>
<td>
0.104000
</td>
<td>
0.024800
</td>
<td>
0.031120
</td>
<td>
0.005037
</td>
<td>
28.400
</td>
<td>
28.01
</td>
<td>
206.80
</td>
<td>
2360.0
</td>
<td>
0.17010
</td>
<td>
0.69970
</td>
<td>
0.960800
</td>
<td>
0.291000
</td>
<td>
0.4055
</td>
<td>
0.09789
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
109
</th>
<td>
864018
</td>
<td>
B
</td>
<td>
11.340
</td>
<td>
21.26
</td>
<td>
72.48
</td>
<td>
396.5
</td>
<td>
0.08759
</td>
<td>
0.06575
</td>
<td>
0.051330
</td>
<td>
0.018990
</td>
<td>
0.1487
</td>
<td>
0.06529
</td>
<td>
0.2344
</td>
<td>
0.9861
</td>
<td>
1.5970
</td>
<td>
16.410
</td>
<td>
0.009113
</td>
<td>
0.015570
</td>
<td>
0.024430
</td>
<td>
0.006435
</td>
<td>
0.015680
</td>
<td>
0.002477
</td>
<td>
13.010
</td>
<td>
29.15
</td>
<td>
83.99
</td>
<td>
518.1
</td>
<td>
0.16990
</td>
<td>
0.21960
</td>
<td>
0.312000
</td>
<td>
0.082780
</td>
<td>
0.2829
</td>
<td>
0.08832
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
110
</th>
<td>
864033
</td>
<td>
B
</td>
<td>
9.777
</td>
<td>
16.99
</td>
<td>
62.50
</td>
<td>
290.2
</td>
<td>
0.10370
</td>
<td>
0.08404
</td>
<td>
0.043340
</td>
<td>
0.017780
</td>
<td>
0.1584
</td>
<td>
0.07065
</td>
<td>
0.4030
</td>
<td>
1.4240
</td>
<td>
2.7470
</td>
<td>
22.870
</td>
<td>
0.013850
</td>
<td>
0.029320
</td>
<td>
0.027220
</td>
<td>
0.010230
</td>
<td>
0.032810
</td>
<td>
0.004638
</td>
<td>
11.050
</td>
<td>
21.47
</td>
<td>
71.68
</td>
<td>
367.0
</td>
<td>
0.14670
</td>
<td>
0.17650
</td>
<td>
0.130000
</td>
<td>
0.053340
</td>
<td>
0.2533
</td>
<td>
0.08468
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
111
</th>
<td>
86408
</td>
<td>
B
</td>
<td>
12.630
</td>
<td>
20.76
</td>
<td>
82.15
</td>
<td>
480.4
</td>
<td>
0.09933
</td>
<td>
0.12090
</td>
<td>
0.106500
</td>
<td>
0.060210
</td>
<td>
0.1735
</td>
<td>
0.07070
</td>
<td>
0.3424
</td>
<td>
1.8030
</td>
<td>
2.7110
</td>
<td>
20.480
</td>
<td>
0.012910
</td>
<td>
0.040420
</td>
<td>
0.051010
</td>
<td>
0.022950
</td>
<td>
0.021440
</td>
<td>
0.005891
</td>
<td>
13.330
</td>
<td>
25.47
</td>
<td>
89.00
</td>
<td>
527.4
</td>
<td>
0.12870
</td>
<td>
0.22500
</td>
<td>
0.221600
</td>
<td>
0.110500
</td>
<td>
0.2226
</td>
<td>
0.08486
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
112
</th>
<td>
86409
</td>
<td>
B
</td>
<td>
14.260
</td>
<td>
19.65
</td>
<td>
97.83
</td>
<td>
629.9
</td>
<td>
0.07837
</td>
<td>
0.22330
</td>
<td>
0.300300
</td>
<td>
0.077980
</td>
<td>
0.1704
</td>
<td>
0.07769
</td>
<td>
0.3628
</td>
<td>
1.4900
</td>
<td>
3.3990
</td>
<td>
29.250
</td>
<td>
0.005298
</td>
<td>
0.074460
</td>
<td>
0.143500
</td>
<td>
0.022920
</td>
<td>
0.025660
</td>
<td>
0.012980
</td>
<td>
15.300
</td>
<td>
23.73
</td>
<td>
107.00
</td>
<td>
709.0
</td>
<td>
0.08949
</td>
<td>
0.41930
</td>
<td>
0.678300
</td>
<td>
0.150500
</td>
<td>
0.2398
</td>
<td>
0.10820
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
113
</th>
<td>
864292
</td>
<td>
B
</td>
<td>
10.510
</td>
<td>
20.19
</td>
<td>
68.64
</td>
<td>
334.2
</td>
<td>
0.11220
</td>
<td>
0.13030
</td>
<td>
0.064760
</td>
<td>
0.030680
</td>
<td>
0.1922
</td>
<td>
0.07782
</td>
<td>
0.3336
</td>
<td>
1.8600
</td>
<td>
2.0410
</td>
<td>
19.910
</td>
<td>
0.011880
</td>
<td>
0.037470
</td>
<td>
0.045910
</td>
<td>
0.015440
</td>
<td>
0.022870
</td>
<td>
0.006792
</td>
<td>
11.160
</td>
<td>
22.75
</td>
<td>
72.62
</td>
<td>
374.4
</td>
<td>
0.13000
</td>
<td>
0.20490
</td>
<td>
0.129500
</td>
<td>
0.061360
</td>
<td>
0.2383
</td>
<td>
0.09026
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
114
</th>
<td>
864496
</td>
<td>
B
</td>
<td>
8.726
</td>
<td>
15.83
</td>
<td>
55.84
</td>
<td>
230.9
</td>
<td>
0.11500
</td>
<td>
0.08201
</td>
<td>
0.041320
</td>
<td>
0.019240
</td>
<td>
0.1649
</td>
<td>
0.07633
</td>
<td>
0.1665
</td>
<td>
0.5864
</td>
<td>
1.3540
</td>
<td>
8.966
</td>
<td>
0.008261
</td>
<td>
0.022130
</td>
<td>
0.032590
</td>
<td>
0.010400
</td>
<td>
0.017080
</td>
<td>
0.003806
</td>
<td>
9.628
</td>
<td>
19.62
</td>
<td>
64.48
</td>
<td>
284.4
</td>
<td>
0.17240
</td>
<td>
0.23640
</td>
<td>
0.245600
</td>
<td>
0.105000
</td>
<td>
0.2926
</td>
<td>
0.10170
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
115
</th>
<td>
864685
</td>
<td>
B
</td>
<td>
11.930
</td>
<td>
21.53
</td>
<td>
76.53
</td>
<td>
438.6
</td>
<td>
0.09768
</td>
<td>
0.07849
</td>
<td>
0.033280
</td>
<td>
0.020080
</td>
<td>
0.1688
</td>
<td>
0.06194
</td>
<td>
0.3118
</td>
<td>
0.9227
</td>
<td>
2.0000
</td>
<td>
24.790
</td>
<td>
0.007803
</td>
<td>
0.025070
</td>
<td>
0.018350
</td>
<td>
0.007711
</td>
<td>
0.012780
</td>
<td>
0.003856
</td>
<td>
13.670
</td>
<td>
26.15
</td>
<td>
87.54
</td>
<td>
583.0
</td>
<td>
0.15000
</td>
<td>
0.23990
</td>
<td>
0.150300
</td>
<td>
0.072470
</td>
<td>
0.2438
</td>
<td>
0.08541
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
116
</th>
<td>
864726
</td>
<td>
B
</td>
<td>
8.950
</td>
<td>
15.76
</td>
<td>
58.74
</td>
<td>
245.2
</td>
<td>
0.09462
</td>
<td>
0.12430
</td>
<td>
0.092630
</td>
<td>
0.023080
</td>
<td>
0.1305
</td>
<td>
0.07163
</td>
<td>
0.3132
</td>
<td>
0.9789
</td>
<td>
3.2800
</td>
<td>
16.940
</td>
<td>
0.018350
</td>
<td>
0.067600
</td>
<td>
0.092630
</td>
<td>
0.023080
</td>
<td>
0.023840
</td>
<td>
0.005601
</td>
<td>
9.414
</td>
<td>
17.07
</td>
<td>
63.34
</td>
<td>
270.0
</td>
<td>
0.11790
</td>
<td>
0.18790
</td>
<td>
0.154400
</td>
<td>
0.038460
</td>
<td>
0.1652
</td>
<td>
0.07722
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
117
</th>
<td>
864729
</td>
<td>
M
</td>
<td>
14.870
</td>
<td>
16.67
</td>
<td>
98.64
</td>
<td>
682.5
</td>
<td>
0.11620
</td>
<td>
0.16490
</td>
<td>
0.169000
</td>
<td>
0.089230
</td>
<td>
0.2157
</td>
<td>
0.06768
</td>
<td>
0.4266
</td>
<td>
0.9489
</td>
<td>
2.9890
</td>
<td>
41.180
</td>
<td>
0.006985
</td>
<td>
0.025630
</td>
<td>
0.030110
</td>
<td>
0.012710
</td>
<td>
0.016020
</td>
<td>
0.003884
</td>
<td>
18.810
</td>
<td>
27.37
</td>
<td>
127.10
</td>
<td>
1095.0
</td>
<td>
0.18780
</td>
<td>
0.44800
</td>
<td>
0.470400
</td>
<td>
0.202700
</td>
<td>
0.3585
</td>
<td>
0.10650
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
118
</th>
<td>
864877
</td>
<td>
M
</td>
<td>
15.780
</td>
<td>
22.91
</td>
<td>
105.70
</td>
<td>
782.6
</td>
<td>
0.11550
</td>
<td>
0.17520
</td>
<td>
0.213300
</td>
<td>
0.094790
</td>
<td>
0.2096
</td>
<td>
0.07331
</td>
<td>
0.5520
</td>
<td>
1.0720
</td>
<td>
3.5980
</td>
<td>
58.630
</td>
<td>
0.008699
</td>
<td>
0.039760
</td>
<td>
0.059500
</td>
<td>
0.013900
</td>
<td>
0.014950
</td>
<td>
0.005984
</td>
<td>
20.190
</td>
<td>
30.50
</td>
<td>
130.30
</td>
<td>
1272.0
</td>
<td>
0.18550
</td>
<td>
0.49250
</td>
<td>
0.735600
</td>
<td>
0.203400
</td>
<td>
0.3274
</td>
<td>
0.12520
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
119
</th>
<td>
865128
</td>
<td>
M
</td>
<td>
17.950
</td>
<td>
20.01
</td>
<td>
114.20
</td>
<td>
982.0
</td>
<td>
0.08402
</td>
<td>
0.06722
</td>
<td>
0.072930
</td>
<td>
0.055960
</td>
<td>
0.2129
</td>
<td>
0.05025
</td>
<td>
0.5506
</td>
<td>
1.2140
</td>
<td>
3.3570
</td>
<td>
54.040
</td>
<td>
0.004024
</td>
<td>
0.008422
</td>
<td>
0.022910
</td>
<td>
0.009863
</td>
<td>
0.050140
</td>
<td>
0.001902
</td>
<td>
20.580
</td>
<td>
27.83
</td>
<td>
129.20
</td>
<td>
1261.0
</td>
<td>
0.10720
</td>
<td>
0.12020
</td>
<td>
0.224900
</td>
<td>
0.118500
</td>
<td>
0.4882
</td>
<td>
0.06111
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
120
</th>
<td>
865137
</td>
<td>
B
</td>
<td>
11.410
</td>
<td>
10.82
</td>
<td>
73.34
</td>
<td>
403.3
</td>
<td>
0.09373
</td>
<td>
0.06685
</td>
<td>
0.035120
</td>
<td>
0.026230
</td>
<td>
0.1667
</td>
<td>
0.06113
</td>
<td>
0.1408
</td>
<td>
0.4607
</td>
<td>
1.1030
</td>
<td>
10.500
</td>
<td>
0.006040
</td>
<td>
0.015290
</td>
<td>
0.015140
</td>
<td>
0.006460
</td>
<td>
0.013440
</td>
<td>
0.002206
</td>
<td>
12.820
</td>
<td>
15.97
</td>
<td>
83.74
</td>
<td>
510.5
</td>
<td>
0.15480
</td>
<td>
0.23900
</td>
<td>
0.210200
</td>
<td>
0.089580
</td>
<td>
0.3016
</td>
<td>
0.08523
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
121
</th>
<td>
86517
</td>
<td>
M
</td>
<td>
18.660
</td>
<td>
17.12
</td>
<td>
121.40
</td>
<td>
1077.0
</td>
<td>
0.10540
</td>
<td>
0.11000
</td>
<td>
0.145700
</td>
<td>
0.086650
</td>
<td>
0.1966
</td>
<td>
0.06213
</td>
<td>
0.7128
</td>
<td>
1.5810
</td>
<td>
4.8950
</td>
<td>
90.470
</td>
<td>
0.008102
</td>
<td>
0.021010
</td>
<td>
0.033420
</td>
<td>
0.016010
</td>
<td>
0.020450
</td>
<td>
0.004570
</td>
<td>
22.250
</td>
<td>
24.90
</td>
<td>
145.40
</td>
<td>
1549.0
</td>
<td>
0.15030
</td>
<td>
0.22910
</td>
<td>
0.327200
</td>
<td>
0.167400
</td>
<td>
0.2894
</td>
<td>
0.08456
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
122
</th>
<td>
865423
</td>
<td>
M
</td>
<td>
24.250
</td>
<td>
20.20
</td>
<td>
166.20
</td>
<td>
1761.0
</td>
<td>
0.14470
</td>
<td>
0.28670
</td>
<td>
0.426800
</td>
<td>
0.201200
</td>
<td>
0.2655
</td>
<td>
0.06877
</td>
<td>
1.5090
</td>
<td>
3.1200
</td>
<td>
9.8070
</td>
<td>
233.000
</td>
<td>
0.023330
</td>
<td>
0.098060
</td>
<td>
0.127800
</td>
<td>
0.018220
</td>
<td>
0.045470
</td>
<td>
0.009875
</td>
<td>
26.020
</td>
<td>
23.99
</td>
<td>
180.90
</td>
<td>
2073.0
</td>
<td>
0.16960
</td>
<td>
0.42440
</td>
<td>
0.580300
</td>
<td>
0.224800
</td>
<td>
0.3222
</td>
<td>
0.08009
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
123
</th>
<td>
865432
</td>
<td>
B
</td>
<td>
14.500
</td>
<td>
10.89
</td>
<td>
94.28
</td>
<td>
640.7
</td>
<td>
0.11010
</td>
<td>
0.10990
</td>
<td>
0.088420
</td>
<td>
0.057780
</td>
<td>
0.1856
</td>
<td>
0.06402
</td>
<td>
0.2929
</td>
<td>
0.8570
</td>
<td>
1.9280
</td>
<td>
24.190
</td>
<td>
0.003818
</td>
<td>
0.012760
</td>
<td>
0.028820
</td>
<td>
0.012000
</td>
<td>
0.019100
</td>
<td>
0.002808
</td>
<td>
15.700
</td>
<td>
15.98
</td>
<td>
102.80
</td>
<td>
745.5
</td>
<td>
0.13130
</td>
<td>
0.17880
</td>
<td>
0.256000
</td>
<td>
0.122100
</td>
<td>
0.2889
</td>
<td>
0.08006
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
124
</th>
<td>
865468
</td>
<td>
B
</td>
<td>
13.370
</td>
<td>
16.39
</td>
<td>
86.10
</td>
<td>
553.5
</td>
<td>
0.07115
</td>
<td>
0.07325
</td>
<td>
0.080920
</td>
<td>
0.028000
</td>
<td>
0.1422
</td>
<td>
0.05823
</td>
<td>
0.1639
</td>
<td>
1.1400
</td>
<td>
1.2230
</td>
<td>
14.660
</td>
<td>
0.005919
</td>
<td>
0.032700
</td>
<td>
0.049570
</td>
<td>
0.010380
</td>
<td>
0.012080
</td>
<td>
0.004076
</td>
<td>
14.260
</td>
<td>
22.75
</td>
<td>
91.99
</td>
<td>
632.1
</td>
<td>
0.10250
</td>
<td>
0.25310
</td>
<td>
0.330800
</td>
<td>
0.089780
</td>
<td>
0.2048
</td>
<td>
0.07628
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
125
</th>
<td>
86561
</td>
<td>
B
</td>
<td>
13.850
</td>
<td>
17.21
</td>
<td>
88.44
</td>
<td>
588.7
</td>
<td>
0.08785
</td>
<td>
0.06136
</td>
<td>
0.014200
</td>
<td>
0.011410
</td>
<td>
0.1614
</td>
<td>
0.05890
</td>
<td>
0.2185
</td>
<td>
0.8561
</td>
<td>
1.4950
</td>
<td>
17.910
</td>
<td>
0.004599
</td>
<td>
0.009169
</td>
<td>
0.009127
</td>
<td>
0.004814
</td>
<td>
0.012470
</td>
<td>
0.001708
</td>
<td>
15.490
</td>
<td>
23.58
</td>
<td>
100.30
</td>
<td>
725.9
</td>
<td>
0.11570
</td>
<td>
0.13500
</td>
<td>
0.081150
</td>
<td>
0.051040
</td>
<td>
0.2364
</td>
<td>
0.07182
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
126
</th>
<td>
866083
</td>
<td>
M
</td>
<td>
13.610
</td>
<td>
24.69
</td>
<td>
87.76
</td>
<td>
572.6
</td>
<td>
0.09258
</td>
<td>
0.07862
</td>
<td>
0.052850
</td>
<td>
0.030850
</td>
<td>
0.1761
</td>
<td>
0.06130
</td>
<td>
0.2310
</td>
<td>
1.0050
</td>
<td>
1.7520
</td>
<td>
19.830
</td>
<td>
0.004088
</td>
<td>
0.011740
</td>
<td>
0.017960
</td>
<td>
0.006880
</td>
<td>
0.013230
</td>
<td>
0.001465
</td>
<td>
16.890
</td>
<td>
35.64
</td>
<td>
113.20
</td>
<td>
848.7
</td>
<td>
0.14710
</td>
<td>
0.28840
</td>
<td>
0.379600
</td>
<td>
0.132900
</td>
<td>
0.3470
</td>
<td>
0.07900
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
127
</th>
<td>
866203
</td>
<td>
M
</td>
<td>
19.000
</td>
<td>
18.91
</td>
<td>
123.40
</td>
<td>
1138.0
</td>
<td>
0.08217
</td>
<td>
0.08028
</td>
<td>
0.092710
</td>
<td>
0.056270
</td>
<td>
0.1946
</td>
<td>
0.05044
</td>
<td>
0.6896
</td>
<td>
1.3420
</td>
<td>
5.2160
</td>
<td>
81.230
</td>
<td>
0.004428
</td>
<td>
0.027310
</td>
<td>
0.040400
</td>
<td>
0.013610
</td>
<td>
0.020300
</td>
<td>
0.002686
</td>
<td>
22.320
</td>
<td>
25.73
</td>
<td>
148.20
</td>
<td>
1538.0
</td>
<td>
0.10210
</td>
<td>
0.22640
</td>
<td>
0.320700
</td>
<td>
0.121800
</td>
<td>
0.2841
</td>
<td>
0.06541
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
128
</th>
<td>
866458
</td>
<td>
B
</td>
<td>
15.100
</td>
<td>
16.39
</td>
<td>
99.58
</td>
<td>
674.5
</td>
<td>
0.11500
</td>
<td>
0.18070
</td>
<td>
0.113800
</td>
<td>
0.085340
</td>
<td>
0.2001
</td>
<td>
0.06467
</td>
<td>
0.4309
</td>
<td>
1.0680
</td>
<td>
2.7960
</td>
<td>
39.840
</td>
<td>
0.009006
</td>
<td>
0.041850
</td>
<td>
0.032040
</td>
<td>
0.022580
</td>
<td>
0.023530
</td>
<td>
0.004984
</td>
<td>
16.110
</td>
<td>
18.33
</td>
<td>
105.90
</td>
<td>
762.6
</td>
<td>
0.13860
</td>
<td>
0.28830
</td>
<td>
0.196000
</td>
<td>
0.142300
</td>
<td>
0.2590
</td>
<td>
0.07779
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
129
</th>
<td>
866674
</td>
<td>
M
</td>
<td>
19.790
</td>
<td>
25.12
</td>
<td>
130.40
</td>
<td>
1192.0
</td>
<td>
0.10150
</td>
<td>
0.15890
</td>
<td>
0.254500
</td>
<td>
0.114900
</td>
<td>
0.2202
</td>
<td>
0.06113
</td>
<td>
0.4953
</td>
<td>
1.1990
</td>
<td>
2.7650
</td>
<td>
63.330
</td>
<td>
0.005033
</td>
<td>
0.031790
</td>
<td>
0.047550
</td>
<td>
0.010430
</td>
<td>
0.015780
</td>
<td>
0.003224
</td>
<td>
22.630
</td>
<td>
33.58
</td>
<td>
148.70
</td>
<td>
1589.0
</td>
<td>
0.12750
</td>
<td>
0.38610
</td>
<td>
0.567300
</td>
<td>
0.173200
</td>
<td>
0.3305
</td>
<td>
0.08465
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
130
</th>
<td>
866714
</td>
<td>
B
</td>
<td>
12.190
</td>
<td>
13.29
</td>
<td>
79.08
</td>
<td>
455.8
</td>
<td>
0.10660
</td>
<td>
0.09509
</td>
<td>
0.028550
</td>
<td>
0.028820
</td>
<td>
0.1880
</td>
<td>
0.06471
</td>
<td>
0.2005
</td>
<td>
0.8163
</td>
<td>
1.9730
</td>
<td>
15.240
</td>
<td>
0.006773
</td>
<td>
0.024560
</td>
<td>
0.010180
</td>
<td>
0.008094
</td>
<td>
0.026620
</td>
<td>
0.004143
</td>
<td>
13.340
</td>
<td>
17.81
</td>
<td>
91.38
</td>
<td>
545.2
</td>
<td>
0.14270
</td>
<td>
0.25850
</td>
<td>
0.099150
</td>
<td>
0.081870
</td>
<td>
0.3469
</td>
<td>
0.09241
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
131
</th>
<td>
8670
</td>
<td>
M
</td>
<td>
15.460
</td>
<td>
19.48
</td>
<td>
101.70
</td>
<td>
748.9
</td>
<td>
0.10920
</td>
<td>
0.12230
</td>
<td>
0.146600
</td>
<td>
0.080870
</td>
<td>
0.1931
</td>
<td>
0.05796
</td>
<td>
0.4743
</td>
<td>
0.7859
</td>
<td>
3.0940
</td>
<td>
48.310
</td>
<td>
0.006240
</td>
<td>
0.014840
</td>
<td>
0.028130
</td>
<td>
0.010930
</td>
<td>
0.013970
</td>
<td>
0.002461
</td>
<td>
19.260
</td>
<td>
26.00
</td>
<td>
124.90
</td>
<td>
1156.0
</td>
<td>
0.15460
</td>
<td>
0.23940
</td>
<td>
0.379100
</td>
<td>
0.151400
</td>
<td>
0.2837
</td>
<td>
0.08019
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
132
</th>
<td>
86730502
</td>
<td>
M
</td>
<td>
16.160
</td>
<td>
21.54
</td>
<td>
106.20
</td>
<td>
809.8
</td>
<td>
0.10080
</td>
<td>
0.12840
</td>
<td>
0.104300
</td>
<td>
0.056130
</td>
<td>
0.2160
</td>
<td>
0.05891
</td>
<td>
0.4332
</td>
<td>
1.2650
</td>
<td>
2.8440
</td>
<td>
43.680
</td>
<td>
0.004877
</td>
<td>
0.019520
</td>
<td>
0.022190
</td>
<td>
0.009231
</td>
<td>
0.015350
</td>
<td>
0.002373
</td>
<td>
19.470
</td>
<td>
31.68
</td>
<td>
129.70
</td>
<td>
1175.0
</td>
<td>
0.13950
</td>
<td>
0.30550
</td>
<td>
0.299200
</td>
<td>
0.131200
</td>
<td>
0.3480
</td>
<td>
0.07619
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
133
</th>
<td>
867387
</td>
<td>
B
</td>
<td>
15.710
</td>
<td>
13.93
</td>
<td>
102.00
</td>
<td>
761.7
</td>
<td>
0.09462
</td>
<td>
0.09462
</td>
<td>
0.071350
</td>
<td>
0.059330
</td>
<td>
0.1816
</td>
<td>
0.05723
</td>
<td>
0.3117
</td>
<td>
0.8155
</td>
<td>
1.9720
</td>
<td>
27.940
</td>
<td>
0.005217
</td>
<td>
0.015150
</td>
<td>
0.016780
</td>
<td>
0.012680
</td>
<td>
0.016690
</td>
<td>
0.002330
</td>
<td>
17.500
</td>
<td>
19.25
</td>
<td>
114.30
</td>
<td>
922.8
</td>
<td>
0.12230
</td>
<td>
0.19490
</td>
<td>
0.170900
</td>
<td>
0.137400
</td>
<td>
0.2723
</td>
<td>
0.07071
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
134
</th>
<td>
867739
</td>
<td>
M
</td>
<td>
18.450
</td>
<td>
21.91
</td>
<td>
120.20
</td>
<td>
1075.0
</td>
<td>
0.09430
</td>
<td>
0.09709
</td>
<td>
0.115300
</td>
<td>
0.068470
</td>
<td>
0.1692
</td>
<td>
0.05727
</td>
<td>
0.5959
</td>
<td>
1.2020
</td>
<td>
3.7660
</td>
<td>
68.350
</td>
<td>
0.006001
</td>
<td>
0.014220
</td>
<td>
0.028550
</td>
<td>
0.009148
</td>
<td>
0.014920
</td>
<td>
0.002205
</td>
<td>
22.520
</td>
<td>
31.39
</td>
<td>
145.60
</td>
<td>
1590.0
</td>
<td>
0.14650
</td>
<td>
0.22750
</td>
<td>
0.396500
</td>
<td>
0.137900
</td>
<td>
0.3109
</td>
<td>
0.07610
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
135
</th>
<td>
868202
</td>
<td>
M
</td>
<td>
12.770
</td>
<td>
22.47
</td>
<td>
81.72
</td>
<td>
506.3
</td>
<td>
0.09055
</td>
<td>
0.05761
</td>
<td>
0.047110
</td>
<td>
0.027040
</td>
<td>
0.1585
</td>
<td>
0.06065
</td>
<td>
0.2367
</td>
<td>
1.3800
</td>
<td>
1.4570
</td>
<td>
19.870
</td>
<td>
0.007499
</td>
<td>
0.012020
</td>
<td>
0.023320
</td>
<td>
0.008920
</td>
<td>
0.016470
</td>
<td>
0.002629
</td>
<td>
14.490
</td>
<td>
33.37
</td>
<td>
92.04
</td>
<td>
653.6
</td>
<td>
0.14190
</td>
<td>
0.15230
</td>
<td>
0.217700
</td>
<td>
0.093310
</td>
<td>
0.2829
</td>
<td>
0.08067
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
136
</th>
<td>
868223
</td>
<td>
B
</td>
<td>
11.710
</td>
<td>
16.67
</td>
<td>
74.72
</td>
<td>
423.6
</td>
<td>
0.10510
</td>
<td>
0.06095
</td>
<td>
0.035920
</td>
<td>
0.026000
</td>
<td>
0.1339
</td>
<td>
0.05945
</td>
<td>
0.4489
</td>
<td>
2.5080
</td>
<td>
3.2580
</td>
<td>
34.370
</td>
<td>
0.006578
</td>
<td>
0.013800
</td>
<td>
0.026620
</td>
<td>
0.013070
</td>
<td>
0.013590
</td>
<td>
0.003707
</td>
<td>
13.330
</td>
<td>
25.48
</td>
<td>
86.16
</td>
<td>
546.7
</td>
<td>
0.12710
</td>
<td>
0.10280
</td>
<td>
0.104600
</td>
<td>
0.069680
</td>
<td>
0.1712
</td>
<td>
0.07343
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
137
</th>
<td>
868682
</td>
<td>
B
</td>
<td>
11.430
</td>
<td>
15.39
</td>
<td>
73.06
</td>
<td>
399.8
</td>
<td>
0.09639
</td>
<td>
0.06889
</td>
<td>
0.035030
</td>
<td>
0.028750
</td>
<td>
0.1734
</td>
<td>
0.05865
</td>
<td>
0.1759
</td>
<td>
0.9938
</td>
<td>
1.1430
</td>
<td>
12.670
</td>
<td>
0.005133
</td>
<td>
0.015210
</td>
<td>
0.014340
</td>
<td>
0.008602
</td>
<td>
0.015010
</td>
<td>
0.001588
</td>
<td>
12.320
</td>
<td>
22.02
</td>
<td>
79.93
</td>
<td>
462.0
</td>
<td>
0.11900
</td>
<td>
0.16480
</td>
<td>
0.139900
</td>
<td>
0.084760
</td>
<td>
0.2676
</td>
<td>
0.06765
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
138
</th>
<td>
868826
</td>
<td>
M
</td>
<td>
14.950
</td>
<td>
17.57
</td>
<td>
96.85
</td>
<td>
678.1
</td>
<td>
0.11670
</td>
<td>
0.13050
</td>
<td>
0.153900
</td>
<td>
0.086240
</td>
<td>
0.1957
</td>
<td>
0.06216
</td>
<td>
1.2960
</td>
<td>
1.4520
</td>
<td>
8.4190
</td>
<td>
101.900
</td>
<td>
0.010000
</td>
<td>
0.034800
</td>
<td>
0.065770
</td>
<td>
0.028010
</td>
<td>
0.051680
</td>
<td>
0.002887
</td>
<td>
18.550
</td>
<td>
21.43
</td>
<td>
121.40
</td>
<td>
971.4
</td>
<td>
0.14110
</td>
<td>
0.21640
</td>
<td>
0.335500
</td>
<td>
0.166700
</td>
<td>
0.3414
</td>
<td>
0.07147
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
139
</th>
<td>
868871
</td>
<td>
B
</td>
<td>
11.280
</td>
<td>
13.39
</td>
<td>
73.00
</td>
<td>
384.8
</td>
<td>
0.11640
</td>
<td>
0.11360
</td>
<td>
0.046350
</td>
<td>
0.047960
</td>
<td>
0.1771
</td>
<td>
0.06072
</td>
<td>
0.3384
</td>
<td>
1.3430
</td>
<td>
1.8510
</td>
<td>
26.330
</td>
<td>
0.011270
</td>
<td>
0.034980
</td>
<td>
0.021870
</td>
<td>
0.019650
</td>
<td>
0.015800
</td>
<td>
0.003442
</td>
<td>
11.920
</td>
<td>
15.77
</td>
<td>
76.53
</td>
<td>
434.0
</td>
<td>
0.13670
</td>
<td>
0.18220
</td>
<td>
0.086690
</td>
<td>
0.086110
</td>
<td>
0.2102
</td>
<td>
0.06784
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
140
</th>
<td>
868999
</td>
<td>
B
</td>
<td>
9.738
</td>
<td>
11.97
</td>
<td>
61.24
</td>
<td>
288.5
</td>
<td>
0.09250
</td>
<td>
0.04102
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1903
</td>
<td>
0.06422
</td>
<td>
0.1988
</td>
<td>
0.4960
</td>
<td>
1.2180
</td>
<td>
12.260
</td>
<td>
0.006040
</td>
<td>
0.005656
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.022770
</td>
<td>
0.003220
</td>
<td>
10.620
</td>
<td>
14.10
</td>
<td>
66.53
</td>
<td>
342.9
</td>
<td>
0.12340
</td>
<td>
0.07204
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.3105
</td>
<td>
0.08151
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
141
</th>
<td>
869104
</td>
<td>
M
</td>
<td>
16.110
</td>
<td>
18.05
</td>
<td>
105.10
</td>
<td>
813.0
</td>
<td>
0.09721
</td>
<td>
0.11370
</td>
<td>
0.094470
</td>
<td>
0.059430
</td>
<td>
0.1861
</td>
<td>
0.06248
</td>
<td>
0.7049
</td>
<td>
1.3320
</td>
<td>
4.5330
</td>
<td>
74.080
</td>
<td>
0.006770
</td>
<td>
0.019380
</td>
<td>
0.030670
</td>
<td>
0.011670
</td>
<td>
0.018750
</td>
<td>
0.003434
</td>
<td>
19.920
</td>
<td>
25.27
</td>
<td>
129.00
</td>
<td>
1233.0
</td>
<td>
0.13140
</td>
<td>
0.22360
</td>
<td>
0.280200
</td>
<td>
0.121600
</td>
<td>
0.2792
</td>
<td>
0.08158
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
142
</th>
<td>
869218
</td>
<td>
B
</td>
<td>
11.430
</td>
<td>
17.31
</td>
<td>
73.66
</td>
<td>
398.0
</td>
<td>
0.10920
</td>
<td>
0.09486
</td>
<td>
0.020310
</td>
<td>
0.018610
</td>
<td>
0.1645
</td>
<td>
0.06562
</td>
<td>
0.2843
</td>
<td>
1.9080
</td>
<td>
1.9370
</td>
<td>
21.380
</td>
<td>
0.006664
</td>
<td>
0.017350
</td>
<td>
0.011580
</td>
<td>
0.009520
</td>
<td>
0.022820
</td>
<td>
0.003526
</td>
<td>
12.780
</td>
<td>
26.76
</td>
<td>
82.66
</td>
<td>
503.0
</td>
<td>
0.14130
</td>
<td>
0.17920
</td>
<td>
0.077080
</td>
<td>
0.064020
</td>
<td>
0.2584
</td>
<td>
0.08096
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
143
</th>
<td>
869224
</td>
<td>
B
</td>
<td>
12.900
</td>
<td>
15.92
</td>
<td>
83.74
</td>
<td>
512.2
</td>
<td>
0.08677
</td>
<td>
0.09509
</td>
<td>
0.048940
</td>
<td>
0.030880
</td>
<td>
0.1778
</td>
<td>
0.06235
</td>
<td>
0.2143
</td>
<td>
0.7712
</td>
<td>
1.6890
</td>
<td>
16.640
</td>
<td>
0.005324
</td>
<td>
0.015630
</td>
<td>
0.015100
</td>
<td>
0.007584
</td>
<td>
0.021040
</td>
<td>
0.001887
</td>
<td>
14.480
</td>
<td>
21.82
</td>
<td>
97.17
</td>
<td>
643.8
</td>
<td>
0.13120
</td>
<td>
0.25480
</td>
<td>
0.209000
</td>
<td>
0.101200
</td>
<td>
0.3549
</td>
<td>
0.08118
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
144
</th>
<td>
869254
</td>
<td>
B
</td>
<td>
10.750
</td>
<td>
14.97
</td>
<td>
68.26
</td>
<td>
355.3
</td>
<td>
0.07793
</td>
<td>
0.05139
</td>
<td>
0.022510
</td>
<td>
0.007875
</td>
<td>
0.1399
</td>
<td>
0.05688
</td>
<td>
0.2525
</td>
<td>
1.2390
</td>
<td>
1.8060
</td>
<td>
17.740
</td>
<td>
0.006547
</td>
<td>
0.017810
</td>
<td>
0.020180
</td>
<td>
0.005612
</td>
<td>
0.016710
</td>
<td>
0.002360
</td>
<td>
11.950
</td>
<td>
20.72
</td>
<td>
77.79
</td>
<td>
441.2
</td>
<td>
0.10760
</td>
<td>
0.12230
</td>
<td>
0.097550
</td>
<td>
0.034130
</td>
<td>
0.2300
</td>
<td>
0.06769
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
145
</th>
<td>
869476
</td>
<td>
B
</td>
<td>
11.900
</td>
<td>
14.65
</td>
<td>
78.11
</td>
<td>
432.8
</td>
<td>
0.11520
</td>
<td>
0.12960
</td>
<td>
0.037100
</td>
<td>
0.030030
</td>
<td>
0.1995
</td>
<td>
0.07839
</td>
<td>
0.3962
</td>
<td>
0.6538
</td>
<td>
3.0210
</td>
<td>
25.030
</td>
<td>
0.010170
</td>
<td>
0.047410
</td>
<td>
0.027890
</td>
<td>
0.011100
</td>
<td>
0.031270
</td>
<td>
0.009423
</td>
<td>
13.150
</td>
<td>
16.51
</td>
<td>
86.26
</td>
<td>
509.6
</td>
<td>
0.14240
</td>
<td>
0.25170
</td>
<td>
0.094200
</td>
<td>
0.060420
</td>
<td>
0.2727
</td>
<td>
0.10360
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
146
</th>
<td>
869691
</td>
<td>
M
</td>
<td>
11.800
</td>
<td>
16.58
</td>
<td>
78.99
</td>
<td>
432.0
</td>
<td>
0.10910
</td>
<td>
0.17000
</td>
<td>
0.165900
</td>
<td>
0.074150
</td>
<td>
0.2678
</td>
<td>
0.07371
</td>
<td>
0.3197
</td>
<td>
1.4260
</td>
<td>
2.2810
</td>
<td>
24.720
</td>
<td>
0.005427
</td>
<td>
0.036330
</td>
<td>
0.046490
</td>
<td>
0.018430
</td>
<td>
0.056280
</td>
<td>
0.004635
</td>
<td>
13.740
</td>
<td>
26.38
</td>
<td>
91.93
</td>
<td>
591.7
</td>
<td>
0.13850
</td>
<td>
0.40920
</td>
<td>
0.450400
</td>
<td>
0.186500
</td>
<td>
0.5774
</td>
<td>
0.10300
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
147
</th>
<td>
86973701
</td>
<td>
B
</td>
<td>
14.950
</td>
<td>
18.77
</td>
<td>
97.84
</td>
<td>
689.5
</td>
<td>
0.08138
</td>
<td>
0.11670
</td>
<td>
0.090500
</td>
<td>
0.035620
</td>
<td>
0.1744
</td>
<td>
0.06493
</td>
<td>
0.4220
</td>
<td>
1.9090
</td>
<td>
3.2710
</td>
<td>
39.430
</td>
<td>
0.005790
</td>
<td>
0.048770
</td>
<td>
0.053030
</td>
<td>
0.015270
</td>
<td>
0.033560
</td>
<td>
0.009368
</td>
<td>
16.250
</td>
<td>
25.47
</td>
<td>
107.10
</td>
<td>
809.7
</td>
<td>
0.09970
</td>
<td>
0.25210
</td>
<td>
0.250000
</td>
<td>
0.084050
</td>
<td>
0.2852
</td>
<td>
0.09218
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
148
</th>
<td>
86973702
</td>
<td>
B
</td>
<td>
14.440
</td>
<td>
15.18
</td>
<td>
93.97
</td>
<td>
640.1
</td>
<td>
0.09970
</td>
<td>
0.10210
</td>
<td>
0.084870
</td>
<td>
0.055320
</td>
<td>
0.1724
</td>
<td>
0.06081
</td>
<td>
0.2406
</td>
<td>
0.7394
</td>
<td>
2.1200
</td>
<td>
21.200
</td>
<td>
0.005706
</td>
<td>
0.022970
</td>
<td>
0.031140
</td>
<td>
0.014930
</td>
<td>
0.014540
</td>
<td>
0.002528
</td>
<td>
15.850
</td>
<td>
19.85
</td>
<td>
108.60
</td>
<td>
766.9
</td>
<td>
0.13160
</td>
<td>
0.27350
</td>
<td>
0.310300
</td>
<td>
0.159900
</td>
<td>
0.2691
</td>
<td>
0.07683
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
149
</th>
<td>
869931
</td>
<td>
B
</td>
<td>
13.740
</td>
<td>
17.91
</td>
<td>
88.12
</td>
<td>
585.0
</td>
<td>
0.07944
</td>
<td>
0.06376
</td>
<td>
0.028810
</td>
<td>
0.013290
</td>
<td>
0.1473
</td>
<td>
0.05580
</td>
<td>
0.2500
</td>
<td>
0.7574
</td>
<td>
1.5730
</td>
<td>
21.470
</td>
<td>
0.002838
</td>
<td>
0.015920
</td>
<td>
0.017800
</td>
<td>
0.005828
</td>
<td>
0.013290
</td>
<td>
0.001976
</td>
<td>
15.340
</td>
<td>
22.46
</td>
<td>
97.19
</td>
<td>
725.9
</td>
<td>
0.09711
</td>
<td>
0.18240
</td>
<td>
0.156400
</td>
<td>
0.060190
</td>
<td>
0.2350
</td>
<td>
0.07014
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
150
</th>
<td>
871001501
</td>
<td>
B
</td>
<td>
13.000
</td>
<td>
20.78
</td>
<td>
83.51
</td>
<td>
519.4
</td>
<td>
0.11350
</td>
<td>
0.07589
</td>
<td>
0.031360
</td>
<td>
0.026450
</td>
<td>
0.2540
</td>
<td>
0.06087
</td>
<td>
0.4202
</td>
<td>
1.3220
</td>
<td>
2.8730
</td>
<td>
34.780
</td>
<td>
0.007017
</td>
<td>
0.011420
</td>
<td>
0.019490
</td>
<td>
0.011530
</td>
<td>
0.029510
</td>
<td>
0.001533
</td>
<td>
14.160
</td>
<td>
24.11
</td>
<td>
90.82
</td>
<td>
616.7
</td>
<td>
0.12970
</td>
<td>
0.11050
</td>
<td>
0.081120
</td>
<td>
0.062960
</td>
<td>
0.3196
</td>
<td>
0.06435
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
151
</th>
<td>
871001502
</td>
<td>
B
</td>
<td>
8.219
</td>
<td>
20.70
</td>
<td>
53.27
</td>
<td>
203.9
</td>
<td>
0.09405
</td>
<td>
0.13050
</td>
<td>
0.132100
</td>
<td>
0.021680
</td>
<td>
0.2222
</td>
<td>
0.08261
</td>
<td>
0.1935
</td>
<td>
1.9620
</td>
<td>
1.2430
</td>
<td>
10.210
</td>
<td>
0.012430
</td>
<td>
0.054160
</td>
<td>
0.077530
</td>
<td>
0.010220
</td>
<td>
0.023090
</td>
<td>
0.011780
</td>
<td>
9.092
</td>
<td>
29.72
</td>
<td>
58.08
</td>
<td>
249.8
</td>
<td>
0.16300
</td>
<td>
0.43100
</td>
<td>
0.538100
</td>
<td>
0.078790
</td>
<td>
0.3322
</td>
<td>
0.14860
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
152
</th>
<td>
8710441
</td>
<td>
B
</td>
<td>
9.731
</td>
<td>
15.34
</td>
<td>
63.78
</td>
<td>
300.2
</td>
<td>
0.10720
</td>
<td>
0.15990
</td>
<td>
0.410800
</td>
<td>
0.078570
</td>
<td>
0.2548
</td>
<td>
0.09296
</td>
<td>
0.8245
</td>
<td>
2.6640
</td>
<td>
4.0730
</td>
<td>
49.850
</td>
<td>
0.010970
</td>
<td>
0.095860
</td>
<td>
0.396000
</td>
<td>
0.052790
</td>
<td>
0.035460
</td>
<td>
0.029840
</td>
<td>
11.020
</td>
<td>
19.49
</td>
<td>
71.04
</td>
<td>
380.5
</td>
<td>
0.12920
</td>
<td>
0.27720
</td>
<td>
0.821600
</td>
<td>
0.157100
</td>
<td>
0.3108
</td>
<td>
0.12590
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
153
</th>
<td>
87106
</td>
<td>
B
</td>
<td>
11.150
</td>
<td>
13.08
</td>
<td>
70.87
</td>
<td>
381.9
</td>
<td>
0.09754
</td>
<td>
0.05113
</td>
<td>
0.019820
</td>
<td>
0.017860
</td>
<td>
0.1830
</td>
<td>
0.06105
</td>
<td>
0.2251
</td>
<td>
0.7815
</td>
<td>
1.4290
</td>
<td>
15.480
</td>
<td>
0.009019
</td>
<td>
0.008985
</td>
<td>
0.011960
</td>
<td>
0.008232
</td>
<td>
0.023880
</td>
<td>
0.001619
</td>
<td>
11.990
</td>
<td>
16.30
</td>
<td>
76.25
</td>
<td>
440.8
</td>
<td>
0.13410
</td>
<td>
0.08971
</td>
<td>
0.071160
</td>
<td>
0.055060
</td>
<td>
0.2859
</td>
<td>
0.06772
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
154
</th>
<td>
8711002
</td>
<td>
B
</td>
<td>
13.150
</td>
<td>
15.34
</td>
<td>
85.31
</td>
<td>
538.9
</td>
<td>
0.09384
</td>
<td>
0.08498
</td>
<td>
0.092930
</td>
<td>
0.034830
</td>
<td>
0.1822
</td>
<td>
0.06207
</td>
<td>
0.2710
</td>
<td>
0.7927
</td>
<td>
1.8190
</td>
<td>
22.790
</td>
<td>
0.008584
</td>
<td>
0.020170
</td>
<td>
0.030470
</td>
<td>
0.009536
</td>
<td>
0.027690
</td>
<td>
0.003479
</td>
<td>
14.770
</td>
<td>
20.50
</td>
<td>
97.67
</td>
<td>
677.3
</td>
<td>
0.14780
</td>
<td>
0.22560
</td>
<td>
0.300900
</td>
<td>
0.097220
</td>
<td>
0.3849
</td>
<td>
0.08633
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
155
</th>
<td>
8711003
</td>
<td>
B
</td>
<td>
12.250
</td>
<td>
17.94
</td>
<td>
78.27
</td>
<td>
460.3
</td>
<td>
0.08654
</td>
<td>
0.06679
</td>
<td>
0.038850
</td>
<td>
0.023310
</td>
<td>
0.1970
</td>
<td>
0.06228
</td>
<td>
0.2200
</td>
<td>
0.9823
</td>
<td>
1.4840
</td>
<td>
16.510
</td>
<td>
0.005518
</td>
<td>
0.015620
</td>
<td>
0.019940
</td>
<td>
0.007924
</td>
<td>
0.017990
</td>
<td>
0.002484
</td>
<td>
13.590
</td>
<td>
25.22
</td>
<td>
86.60
</td>
<td>
564.2
</td>
<td>
0.12170
</td>
<td>
0.17880
</td>
<td>
0.194300
</td>
<td>
0.082110
</td>
<td>
0.3113
</td>
<td>
0.08132
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
156
</th>
<td>
8711202
</td>
<td>
M
</td>
<td>
17.680
</td>
<td>
20.74
</td>
<td>
117.40
</td>
<td>
963.7
</td>
<td>
0.11150
</td>
<td>
0.16650
</td>
<td>
0.185500
</td>
<td>
0.105400
</td>
<td>
0.1971
</td>
<td>
0.06166
</td>
<td>
0.8113
</td>
<td>
1.4000
</td>
<td>
5.5400
</td>
<td>
93.910
</td>
<td>
0.009037
</td>
<td>
0.049540
</td>
<td>
0.052060
</td>
<td>
0.018410
</td>
<td>
0.017780
</td>
<td>
0.004968
</td>
<td>
20.470
</td>
<td>
25.11
</td>
<td>
132.90
</td>
<td>
1302.0
</td>
<td>
0.14180
</td>
<td>
0.34980
</td>
<td>
0.358300
</td>
<td>
0.151500
</td>
<td>
0.2463
</td>
<td>
0.07738
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
157
</th>
<td>
8711216
</td>
<td>
B
</td>
<td>
16.840
</td>
<td>
19.46
</td>
<td>
108.40
</td>
<td>
880.2
</td>
<td>
0.07445
</td>
<td>
0.07223
</td>
<td>
0.051500
</td>
<td>
0.027710
</td>
<td>
0.1844
</td>
<td>
0.05268
</td>
<td>
0.4789
</td>
<td>
2.0600
</td>
<td>
3.4790
</td>
<td>
46.610
</td>
<td>
0.003443
</td>
<td>
0.026610
</td>
<td>
0.030560
</td>
<td>
0.011100
</td>
<td>
0.015200
</td>
<td>
0.001519
</td>
<td>
18.220
</td>
<td>
28.07
</td>
<td>
120.30
</td>
<td>
1032.0
</td>
<td>
0.08774
</td>
<td>
0.17100
</td>
<td>
0.188200
</td>
<td>
0.084360
</td>
<td>
0.2527
</td>
<td>
0.05972
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
158
</th>
<td>
871122
</td>
<td>
B
</td>
<td>
12.060
</td>
<td>
12.74
</td>
<td>
76.84
</td>
<td>
448.6
</td>
<td>
0.09311
</td>
<td>
0.05241
</td>
<td>
0.019720
</td>
<td>
0.019630
</td>
<td>
0.1590
</td>
<td>
0.05907
</td>
<td>
0.1822
</td>
<td>
0.7285
</td>
<td>
1.1710
</td>
<td>
13.250
</td>
<td>
0.005528
</td>
<td>
0.009789
</td>
<td>
0.008342
</td>
<td>
0.006273
</td>
<td>
0.014650
</td>
<td>
0.002530
</td>
<td>
13.140
</td>
<td>
18.41
</td>
<td>
84.08
</td>
<td>
532.8
</td>
<td>
0.12750
</td>
<td>
0.12320
</td>
<td>
0.086360
</td>
<td>
0.070250
</td>
<td>
0.2514
</td>
<td>
0.07898
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
159
</th>
<td>
871149
</td>
<td>
B
</td>
<td>
10.900
</td>
<td>
12.96
</td>
<td>
68.69
</td>
<td>
366.8
</td>
<td>
0.07515
</td>
<td>
0.03718
</td>
<td>
0.003090
</td>
<td>
0.006588
</td>
<td>
0.1442
</td>
<td>
0.05743
</td>
<td>
0.2818
</td>
<td>
0.7614
</td>
<td>
1.8080
</td>
<td>
18.540
</td>
<td>
0.006142
</td>
<td>
0.006134
</td>
<td>
0.001835
</td>
<td>
0.003576
</td>
<td>
0.016370
</td>
<td>
0.002665
</td>
<td>
12.360
</td>
<td>
18.20
</td>
<td>
78.07
</td>
<td>
470.0
</td>
<td>
0.11710
</td>
<td>
0.08294
</td>
<td>
0.018540
</td>
<td>
0.039530
</td>
<td>
0.2738
</td>
<td>
0.07685
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
160
</th>
<td>
8711561
</td>
<td>
B
</td>
<td>
11.750
</td>
<td>
20.18
</td>
<td>
76.10
</td>
<td>
419.8
</td>
<td>
0.10890
</td>
<td>
0.11410
</td>
<td>
0.068430
</td>
<td>
0.037380
</td>
<td>
0.1993
</td>
<td>
0.06453
</td>
<td>
0.5018
</td>
<td>
1.6930
</td>
<td>
3.9260
</td>
<td>
38.340
</td>
<td>
0.009433
</td>
<td>
0.024050
</td>
<td>
0.041670
</td>
<td>
0.011520
</td>
<td>
0.033970
</td>
<td>
0.005061
</td>
<td>
13.320
</td>
<td>
26.21
</td>
<td>
88.91
</td>
<td>
543.9
</td>
<td>
0.13580
</td>
<td>
0.18920
</td>
<td>
0.195600
</td>
<td>
0.079090
</td>
<td>
0.3168
</td>
<td>
0.07987
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
161
</th>
<td>
8711803
</td>
<td>
M
</td>
<td>
19.190
</td>
<td>
15.94
</td>
<td>
126.30
</td>
<td>
1157.0
</td>
<td>
0.08694
</td>
<td>
0.11850
</td>
<td>
0.119300
</td>
<td>
0.096670
</td>
<td>
0.1741
</td>
<td>
0.05176
</td>
<td>
1.0000
</td>
<td>
0.6336
</td>
<td>
6.9710
</td>
<td>
119.300
</td>
<td>
0.009406
</td>
<td>
0.030550
</td>
<td>
0.043440
</td>
<td>
0.027940
</td>
<td>
0.031560
</td>
<td>
0.003362
</td>
<td>
22.030
</td>
<td>
17.81
</td>
<td>
146.60
</td>
<td>
1495.0
</td>
<td>
0.11240
</td>
<td>
0.20160
</td>
<td>
0.226400
</td>
<td>
0.177700
</td>
<td>
0.2443
</td>
<td>
0.06251
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
162
</th>
<td>
871201
</td>
<td>
M
</td>
<td>
19.590
</td>
<td>
18.15
</td>
<td>
130.70
</td>
<td>
1214.0
</td>
<td>
0.11200
</td>
<td>
0.16660
</td>
<td>
0.250800
</td>
<td>
0.128600
</td>
<td>
0.2027
</td>
<td>
0.06082
</td>
<td>
0.7364
</td>
<td>
1.0480
</td>
<td>
4.7920
</td>
<td>
97.070
</td>
<td>
0.004057
</td>
<td>
0.022770
</td>
<td>
0.040290
</td>
<td>
0.013030
</td>
<td>
0.016860
</td>
<td>
0.003318
</td>
<td>
26.730
</td>
<td>
26.39
</td>
<td>
174.90
</td>
<td>
2232.0
</td>
<td>
0.14380
</td>
<td>
0.38460
</td>
<td>
0.681000
</td>
<td>
0.224700
</td>
<td>
0.3643
</td>
<td>
0.09223
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
163
</th>
<td>
8712064
</td>
<td>
B
</td>
<td>
12.340
</td>
<td>
22.22
</td>
<td>
79.85
</td>
<td>
464.5
</td>
<td>
0.10120
</td>
<td>
0.10150
</td>
<td>
0.053700
</td>
<td>
0.028220
</td>
<td>
0.1551
</td>
<td>
0.06761
</td>
<td>
0.2949
</td>
<td>
1.6560
</td>
<td>
1.9550
</td>
<td>
21.550
</td>
<td>
0.011340
</td>
<td>
0.031750
</td>
<td>
0.031250
</td>
<td>
0.011350
</td>
<td>
0.018790
</td>
<td>
0.005348
</td>
<td>
13.580
</td>
<td>
28.68
</td>
<td>
87.36
</td>
<td>
553.0
</td>
<td>
0.14520
</td>
<td>
0.23380
</td>
<td>
0.168800
</td>
<td>
0.081940
</td>
<td>
0.2268
</td>
<td>
0.09082
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
164
</th>
<td>
8712289
</td>
<td>
M
</td>
<td>
23.270
</td>
<td>
22.04
</td>
<td>
152.10
</td>
<td>
1686.0
</td>
<td>
0.08439
</td>
<td>
0.11450
</td>
<td>
0.132400
</td>
<td>
0.097020
</td>
<td>
0.1801
</td>
<td>
0.05553
</td>
<td>
0.6642
</td>
<td>
0.8561
</td>
<td>
4.6030
</td>
<td>
97.850
</td>
<td>
0.004910
</td>
<td>
0.025440
</td>
<td>
0.028220
</td>
<td>
0.016230
</td>
<td>
0.019560
</td>
<td>
0.003740
</td>
<td>
28.010
</td>
<td>
28.22
</td>
<td>
184.20
</td>
<td>
2403.0
</td>
<td>
0.12280
</td>
<td>
0.35830
</td>
<td>
0.394800
</td>
<td>
0.234600
</td>
<td>
0.3589
</td>
<td>
0.09187
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
165
</th>
<td>
8712291
</td>
<td>
B
</td>
<td>
14.970
</td>
<td>
19.76
</td>
<td>
95.50
</td>
<td>
690.2
</td>
<td>
0.08421
</td>
<td>
0.05352
</td>
<td>
0.019470
</td>
<td>
0.019390
</td>
<td>
0.1515
</td>
<td>
0.05266
</td>
<td>
0.1840
</td>
<td>
1.0650
</td>
<td>
1.2860
</td>
<td>
16.640
</td>
<td>
0.003634
</td>
<td>
0.007983
</td>
<td>
0.008268
</td>
<td>
0.006432
</td>
<td>
0.019240
</td>
<td>
0.001520
</td>
<td>
15.980
</td>
<td>
25.82
</td>
<td>
102.30
</td>
<td>
782.1
</td>
<td>
0.10450
</td>
<td>
0.09995
</td>
<td>
0.077500
</td>
<td>
0.057540
</td>
<td>
0.2646
</td>
<td>
0.06085
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
166
</th>
<td>
87127
</td>
<td>
B
</td>
<td>
10.800
</td>
<td>
9.71
</td>
<td>
68.77
</td>
<td>
357.6
</td>
<td>
0.09594
</td>
<td>
0.05736
</td>
<td>
0.025310
</td>
<td>
0.016980
</td>
<td>
0.1381
</td>
<td>
0.06400
</td>
<td>
0.1728
</td>
<td>
0.4064
</td>
<td>
1.1260
</td>
<td>
11.480
</td>
<td>
0.007809
</td>
<td>
0.009816
</td>
<td>
0.010990
</td>
<td>
0.005344
</td>
<td>
0.012540
</td>
<td>
0.002120
</td>
<td>
11.600
</td>
<td>
12.02
</td>
<td>
73.66
</td>
<td>
414.0
</td>
<td>
0.14360
</td>
<td>
0.12570
</td>
<td>
0.104700
</td>
<td>
0.046030
</td>
<td>
0.2090
</td>
<td>
0.07699
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
167
</th>
<td>
8712729
</td>
<td>
M
</td>
<td>
16.780
</td>
<td>
18.80
</td>
<td>
109.30
</td>
<td>
886.3
</td>
<td>
0.08865
</td>
<td>
0.09182
</td>
<td>
0.084220
</td>
<td>
0.065760
</td>
<td>
0.1893
</td>
<td>
0.05534
</td>
<td>
0.5990
</td>
<td>
1.3910
</td>
<td>
4.1290
</td>
<td>
67.340
</td>
<td>
0.006123
</td>
<td>
0.024700
</td>
<td>
0.026260
</td>
<td>
0.016040
</td>
<td>
0.020910
</td>
<td>
0.003493
</td>
<td>
20.050
</td>
<td>
26.30
</td>
<td>
130.70
</td>
<td>
1260.0
</td>
<td>
0.11680
</td>
<td>
0.21190
</td>
<td>
0.231800
</td>
<td>
0.147400
</td>
<td>
0.2810
</td>
<td>
0.07228
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
168
</th>
<td>
8712766
</td>
<td>
M
</td>
<td>
17.470
</td>
<td>
24.68
</td>
<td>
116.10
</td>
<td>
984.6
</td>
<td>
0.10490
</td>
<td>
0.16030
</td>
<td>
0.215900
</td>
<td>
0.104300
</td>
<td>
0.1538
</td>
<td>
0.06365
</td>
<td>
1.0880
</td>
<td>
1.4100
</td>
<td>
7.3370
</td>
<td>
122.300
</td>
<td>
0.006174
</td>
<td>
0.036340
</td>
<td>
0.046440
</td>
<td>
0.015690
</td>
<td>
0.011450
</td>
<td>
0.005120
</td>
<td>
23.140
</td>
<td>
32.33
</td>
<td>
155.30
</td>
<td>
1660.0
</td>
<td>
0.13760
</td>
<td>
0.38300
</td>
<td>
0.489000
</td>
<td>
0.172100
</td>
<td>
0.2160
</td>
<td>
0.09300
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
169
</th>
<td>
8712853
</td>
<td>
B
</td>
<td>
14.970
</td>
<td>
16.95
</td>
<td>
96.22
</td>
<td>
685.9
</td>
<td>
0.09855
</td>
<td>
0.07885
</td>
<td>
0.026020
</td>
<td>
0.037810
</td>
<td>
0.1780
</td>
<td>
0.05650
</td>
<td>
0.2713
</td>
<td>
1.2170
</td>
<td>
1.8930
</td>
<td>
24.280
</td>
<td>
0.005080
</td>
<td>
0.013700
</td>
<td>
0.007276
</td>
<td>
0.009073
</td>
<td>
0.013500
</td>
<td>
0.001706
</td>
<td>
16.110
</td>
<td>
23.00
</td>
<td>
104.60
</td>
<td>
793.7
</td>
<td>
0.12160
</td>
<td>
0.16370
</td>
<td>
0.066480
</td>
<td>
0.084850
</td>
<td>
0.2404
</td>
<td>
0.06428
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
170
</th>
<td>
87139402
</td>
<td>
B
</td>
<td>
12.320
</td>
<td>
12.39
</td>
<td>
78.85
</td>
<td>
464.1
</td>
<td>
0.10280
</td>
<td>
0.06981
</td>
<td>
0.039870
</td>
<td>
0.037000
</td>
<td>
0.1959
</td>
<td>
0.05955
</td>
<td>
0.2360
</td>
<td>
0.6656
</td>
<td>
1.6700
</td>
<td>
17.430
</td>
<td>
0.008045
</td>
<td>
0.011800
</td>
<td>
0.016830
</td>
<td>
0.012410
</td>
<td>
0.019240
</td>
<td>
0.002248
</td>
<td>
13.500
</td>
<td>
15.64
</td>
<td>
86.97
</td>
<td>
549.1
</td>
<td>
0.13850
</td>
<td>
0.12660
</td>
<td>
0.124200
</td>
<td>
0.093910
</td>
<td>
0.2827
</td>
<td>
0.06771
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
171
</th>
<td>
87163
</td>
<td>
M
</td>
<td>
13.430
</td>
<td>
19.63
</td>
<td>
85.84
</td>
<td>
565.4
</td>
<td>
0.09048
</td>
<td>
0.06288
</td>
<td>
0.058580
</td>
<td>
0.034380
</td>
<td>
0.1598
</td>
<td>
0.05671
</td>
<td>
0.4697
</td>
<td>
1.1470
</td>
<td>
3.1420
</td>
<td>
43.400
</td>
<td>
0.006003
</td>
<td>
0.010630
</td>
<td>
0.021510
</td>
<td>
0.009443
</td>
<td>
0.015200
</td>
<td>
0.001868
</td>
<td>
17.980
</td>
<td>
29.87
</td>
<td>
116.60
</td>
<td>
993.6
</td>
<td>
0.14010
</td>
<td>
0.15460
</td>
<td>
0.264400
</td>
<td>
0.116000
</td>
<td>
0.2884
</td>
<td>
0.07371
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
172
</th>
<td>
87164
</td>
<td>
M
</td>
<td>
15.460
</td>
<td>
11.89
</td>
<td>
102.50
</td>
<td>
736.9
</td>
<td>
0.12570
</td>
<td>
0.15550
</td>
<td>
0.203200
</td>
<td>
0.109700
</td>
<td>
0.1966
</td>
<td>
0.07069
</td>
<td>
0.4209
</td>
<td>
0.6583
</td>
<td>
2.8050
</td>
<td>
44.640
</td>
<td>
0.005393
</td>
<td>
0.023210
</td>
<td>
0.043030
</td>
<td>
0.013200
</td>
<td>
0.017920
</td>
<td>
0.004168
</td>
<td>
18.790
</td>
<td>
17.04
</td>
<td>
125.00
</td>
<td>
1102.0
</td>
<td>
0.15310
</td>
<td>
0.35830
</td>
<td>
0.583000
</td>
<td>
0.182700
</td>
<td>
0.3216
</td>
<td>
0.10100
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
173
</th>
<td>
871641
</td>
<td>
B
</td>
<td>
11.080
</td>
<td>
14.71
</td>
<td>
70.21
</td>
<td>
372.7
</td>
<td>
0.10060
</td>
<td>
0.05743
</td>
<td>
0.023630
</td>
<td>
0.025830
</td>
<td>
0.1566
</td>
<td>
0.06669
</td>
<td>
0.2073
</td>
<td>
1.8050
</td>
<td>
1.3770
</td>
<td>
19.080
</td>
<td>
0.014960
</td>
<td>
0.021210
</td>
<td>
0.014530
</td>
<td>
0.015830
</td>
<td>
0.030820
</td>
<td>
0.004785
</td>
<td>
11.350
</td>
<td>
16.82
</td>
<td>
72.01
</td>
<td>
396.5
</td>
<td>
0.12160
</td>
<td>
0.08240
</td>
<td>
0.039380
</td>
<td>
0.043060
</td>
<td>
0.1902
</td>
<td>
0.07313
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
174
</th>
<td>
871642
</td>
<td>
B
</td>
<td>
10.660
</td>
<td>
15.15
</td>
<td>
67.49
</td>
<td>
349.6
</td>
<td>
0.08792
</td>
<td>
0.04302
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1928
</td>
<td>
0.05975
</td>
<td>
0.3309
</td>
<td>
1.9250
</td>
<td>
2.1550
</td>
<td>
21.980
</td>
<td>
0.008713
</td>
<td>
0.010170
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.032650
</td>
<td>
0.001002
</td>
<td>
11.540
</td>
<td>
19.20
</td>
<td>
73.20
</td>
<td>
408.3
</td>
<td>
0.10760
</td>
<td>
0.06791
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2710
</td>
<td>
0.06164
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
175
</th>
<td>
872113
</td>
<td>
B
</td>
<td>
8.671
</td>
<td>
14.45
</td>
<td>
54.42
</td>
<td>
227.2
</td>
<td>
0.09138
</td>
<td>
0.04276
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1722
</td>
<td>
0.06724
</td>
<td>
0.2204
</td>
<td>
0.7873
</td>
<td>
1.4350
</td>
<td>
11.360
</td>
<td>
0.009172
</td>
<td>
0.008007
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.027110
</td>
<td>
0.003399
</td>
<td>
9.262
</td>
<td>
17.04
</td>
<td>
58.36
</td>
<td>
259.2
</td>
<td>
0.11620
</td>
<td>
0.07057
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2592
</td>
<td>
0.07848
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
176
</th>
<td>
872608
</td>
<td>
B
</td>
<td>
9.904
</td>
<td>
18.06
</td>
<td>
64.60
</td>
<td>
302.4
</td>
<td>
0.09699
</td>
<td>
0.12940
</td>
<td>
0.130700
</td>
<td>
0.037160
</td>
<td>
0.1669
</td>
<td>
0.08116
</td>
<td>
0.4311
</td>
<td>
2.2610
</td>
<td>
3.1320
</td>
<td>
27.480
</td>
<td>
0.012860
</td>
<td>
0.088080
</td>
<td>
0.119700
</td>
<td>
0.024600
</td>
<td>
0.038800
</td>
<td>
0.017920
</td>
<td>
11.260
</td>
<td>
24.39
</td>
<td>
73.07
</td>
<td>
390.2
</td>
<td>
0.13010
</td>
<td>
0.29500
</td>
<td>
0.348600
</td>
<td>
0.099100
</td>
<td>
0.2614
</td>
<td>
0.11620
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
177
</th>
<td>
87281702
</td>
<td>
M
</td>
<td>
16.460
</td>
<td>
20.11
</td>
<td>
109.30
</td>
<td>
832.9
</td>
<td>
0.09831
</td>
<td>
0.15560
</td>
<td>
0.179300
</td>
<td>
0.088660
</td>
<td>
0.1794
</td>
<td>
0.06323
</td>
<td>
0.3037
</td>
<td>
1.2840
</td>
<td>
2.4820
</td>
<td>
31.590
</td>
<td>
0.006627
</td>
<td>
0.040940
</td>
<td>
0.053710
</td>
<td>
0.018130
</td>
<td>
0.016820
</td>
<td>
0.004584
</td>
<td>
17.790
</td>
<td>
28.45
</td>
<td>
123.50
</td>
<td>
981.2
</td>
<td>
0.14150
</td>
<td>
0.46670
</td>
<td>
0.586200
</td>
<td>
0.203500
</td>
<td>
0.3054
</td>
<td>
0.09519
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
178
</th>
<td>
873357
</td>
<td>
B
</td>
<td>
13.010
</td>
<td>
22.22
</td>
<td>
82.01
</td>
<td>
526.4
</td>
<td>
0.06251
</td>
<td>
0.01938
</td>
<td>
0.001595
</td>
<td>
0.001852
</td>
<td>
0.1395
</td>
<td>
0.05234
</td>
<td>
0.1731
</td>
<td>
1.1420
</td>
<td>
1.1010
</td>
<td>
14.340
</td>
<td>
0.003418
</td>
<td>
0.002252
</td>
<td>
0.001595
</td>
<td>
0.001852
</td>
<td>
0.016130
</td>
<td>
0.000968
</td>
<td>
14.000
</td>
<td>
29.02
</td>
<td>
88.18
</td>
<td>
608.8
</td>
<td>
0.08125
</td>
<td>
0.03432
</td>
<td>
0.007977
</td>
<td>
0.009259
</td>
<td>
0.2295
</td>
<td>
0.05843
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
179
</th>
<td>
873586
</td>
<td>
B
</td>
<td>
12.810
</td>
<td>
13.06
</td>
<td>
81.29
</td>
<td>
508.8
</td>
<td>
0.08739
</td>
<td>
0.03774
</td>
<td>
0.009193
</td>
<td>
0.013300
</td>
<td>
0.1466
</td>
<td>
0.06133
</td>
<td>
0.2889
</td>
<td>
0.9899
</td>
<td>
1.7780
</td>
<td>
21.790
</td>
<td>
0.008534
</td>
<td>
0.006364
</td>
<td>
0.006180
</td>
<td>
0.007408
</td>
<td>
0.010650
</td>
<td>
0.003351
</td>
<td>
13.630
</td>
<td>
16.15
</td>
<td>
86.70
</td>
<td>
570.7
</td>
<td>
0.11620
</td>
<td>
0.05445
</td>
<td>
0.027580
</td>
<td>
0.039900
</td>
<td>
0.1783
</td>
<td>
0.07319
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
180
</th>
<td>
873592
</td>
<td>
M
</td>
<td>
27.220
</td>
<td>
21.87
</td>
<td>
182.10
</td>
<td>
2250.0
</td>
<td>
0.10940
</td>
<td>
0.19140
</td>
<td>
0.287100
</td>
<td>
0.187800
</td>
<td>
0.1800
</td>
<td>
0.05770
</td>
<td>
0.8361
</td>
<td>
1.4810
</td>
<td>
5.8200
</td>
<td>
128.700
</td>
<td>
0.004631
</td>
<td>
0.025370
</td>
<td>
0.031090
</td>
<td>
0.012410
</td>
<td>
0.015750
</td>
<td>
0.002747
</td>
<td>
33.120
</td>
<td>
32.85
</td>
<td>
220.80
</td>
<td>
3216.0
</td>
<td>
0.14720
</td>
<td>
0.40340
</td>
<td>
0.534000
</td>
<td>
0.268800
</td>
<td>
0.2856
</td>
<td>
0.08082
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
181
</th>
<td>
873593
</td>
<td>
M
</td>
<td>
21.090
</td>
<td>
26.57
</td>
<td>
142.70
</td>
<td>
1311.0
</td>
<td>
0.11410
</td>
<td>
0.28320
</td>
<td>
0.248700
</td>
<td>
0.149600
</td>
<td>
0.2395
</td>
<td>
0.07398
</td>
<td>
0.6298
</td>
<td>
0.7629
</td>
<td>
4.4140
</td>
<td>
81.460
</td>
<td>
0.004253
</td>
<td>
0.047590
</td>
<td>
0.038720
</td>
<td>
0.015670
</td>
<td>
0.017980
</td>
<td>
0.005295
</td>
<td>
26.680
</td>
<td>
33.48
</td>
<td>
176.50
</td>
<td>
2089.0
</td>
<td>
0.14910
</td>
<td>
0.75840
</td>
<td>
0.678000
</td>
<td>
0.290300
</td>
<td>
0.4098
</td>
<td>
0.12840
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
182
</th>
<td>
873701
</td>
<td>
M
</td>
<td>
15.700
</td>
<td>
20.31
</td>
<td>
101.20
</td>
<td>
766.6
</td>
<td>
0.09597
</td>
<td>
0.08799
</td>
<td>
0.065930
</td>
<td>
0.051890
</td>
<td>
0.1618
</td>
<td>
0.05549
</td>
<td>
0.3699
</td>
<td>
1.1500
</td>
<td>
2.4060
</td>
<td>
40.980
</td>
<td>
0.004626
</td>
<td>
0.022630
</td>
<td>
0.019540
</td>
<td>
0.009767
</td>
<td>
0.015470
</td>
<td>
0.002430
</td>
<td>
20.110
</td>
<td>
32.82
</td>
<td>
129.30
</td>
<td>
1269.0
</td>
<td>
0.14140
</td>
<td>
0.35470
</td>
<td>
0.290200
</td>
<td>
0.154100
</td>
<td>
0.3437
</td>
<td>
0.08631
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
183
</th>
<td>
873843
</td>
<td>
B
</td>
<td>
11.410
</td>
<td>
14.92
</td>
<td>
73.53
</td>
<td>
402.0
</td>
<td>
0.09059
</td>
<td>
0.08155
</td>
<td>
0.061810
</td>
<td>
0.023610
</td>
<td>
0.1167
</td>
<td>
0.06217
</td>
<td>
0.3344
</td>
<td>
1.1080
</td>
<td>
1.9020
</td>
<td>
22.770
</td>
<td>
0.007356
</td>
<td>
0.037280
</td>
<td>
0.059150
</td>
<td>
0.017120
</td>
<td>
0.021650
</td>
<td>
0.004784
</td>
<td>
12.370
</td>
<td>
17.70
</td>
<td>
79.12
</td>
<td>
467.2
</td>
<td>
0.11210
</td>
<td>
0.16100
</td>
<td>
0.164800
</td>
<td>
0.062960
</td>
<td>
0.1811
</td>
<td>
0.07427
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
184
</th>
<td>
873885
</td>
<td>
M
</td>
<td>
15.280
</td>
<td>
22.41
</td>
<td>
98.92
</td>
<td>
710.6
</td>
<td>
0.09057
</td>
<td>
0.10520
</td>
<td>
0.053750
</td>
<td>
0.032630
</td>
<td>
0.1727
</td>
<td>
0.06317
</td>
<td>
0.2054
</td>
<td>
0.4956
</td>
<td>
1.3440
</td>
<td>
19.530
</td>
<td>
0.003290
</td>
<td>
0.013950
</td>
<td>
0.017740
</td>
<td>
0.006009
</td>
<td>
0.011720
</td>
<td>
0.002575
</td>
<td>
17.800
</td>
<td>
28.03
</td>
<td>
113.80
</td>
<td>
973.1
</td>
<td>
0.13010
</td>
<td>
0.32990
</td>
<td>
0.363000
</td>
<td>
0.122600
</td>
<td>
0.3175
</td>
<td>
0.09772
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
185
</th>
<td>
874158
</td>
<td>
B
</td>
<td>
10.080
</td>
<td>
15.11
</td>
<td>
63.76
</td>
<td>
317.5
</td>
<td>
0.09267
</td>
<td>
0.04695
</td>
<td>
0.001597
</td>
<td>
0.002404
</td>
<td>
0.1703
</td>
<td>
0.06048
</td>
<td>
0.4245
</td>
<td>
1.2680
</td>
<td>
2.6800
</td>
<td>
26.430
</td>
<td>
0.014390
</td>
<td>
0.012000
</td>
<td>
0.001597
</td>
<td>
0.002404
</td>
<td>
0.025380
</td>
<td>
0.003470
</td>
<td>
11.870
</td>
<td>
21.18
</td>
<td>
75.39
</td>
<td>
437.0
</td>
<td>
0.15210
</td>
<td>
0.10190
</td>
<td>
0.006920
</td>
<td>
0.010420
</td>
<td>
0.2933
</td>
<td>
0.07697
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
186
</th>
<td>
874217
</td>
<td>
M
</td>
<td>
18.310
</td>
<td>
18.58
</td>
<td>
118.60
</td>
<td>
1041.0
</td>
<td>
0.08588
</td>
<td>
0.08468
</td>
<td>
0.081690
</td>
<td>
0.058140
</td>
<td>
0.1621
</td>
<td>
0.05425
</td>
<td>
0.2577
</td>
<td>
0.4757
</td>
<td>
1.8170
</td>
<td>
28.920
</td>
<td>
0.002866
</td>
<td>
0.009181
</td>
<td>
0.014120
</td>
<td>
0.006719
</td>
<td>
0.010690
</td>
<td>
0.001087
</td>
<td>
21.310
</td>
<td>
26.36
</td>
<td>
139.20
</td>
<td>
1410.0
</td>
<td>
0.12340
</td>
<td>
0.24450
</td>
<td>
0.353800
</td>
<td>
0.157100
</td>
<td>
0.3206
</td>
<td>
0.06938
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
187
</th>
<td>
874373
</td>
<td>
B
</td>
<td>
11.710
</td>
<td>
17.19
</td>
<td>
74.68
</td>
<td>
420.3
</td>
<td>
0.09774
</td>
<td>
0.06141
</td>
<td>
0.038090
</td>
<td>
0.032390
</td>
<td>
0.1516
</td>
<td>
0.06095
</td>
<td>
0.2451
</td>
<td>
0.7655
</td>
<td>
1.7420
</td>
<td>
17.860
</td>
<td>
0.006905
</td>
<td>
0.008704
</td>
<td>
0.019780
</td>
<td>
0.011850
</td>
<td>
0.018970
</td>
<td>
0.001671
</td>
<td>
13.010
</td>
<td>
21.39
</td>
<td>
84.42
</td>
<td>
521.5
</td>
<td>
0.13230
</td>
<td>
0.10400
</td>
<td>
0.152100
</td>
<td>
0.109900
</td>
<td>
0.2572
</td>
<td>
0.07097
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
188
</th>
<td>
874662
</td>
<td>
B
</td>
<td>
11.810
</td>
<td>
17.39
</td>
<td>
75.27
</td>
<td>
428.9
</td>
<td>
0.10070
</td>
<td>
0.05562
</td>
<td>
0.023530
</td>
<td>
0.015530
</td>
<td>
0.1718
</td>
<td>
0.05780
</td>
<td>
0.1859
</td>
<td>
1.9260
</td>
<td>
1.0110
</td>
<td>
14.470
</td>
<td>
0.007831
</td>
<td>
0.008776
</td>
<td>
0.015560
</td>
<td>
0.006240
</td>
<td>
0.031390
</td>
<td>
0.001988
</td>
<td>
12.570
</td>
<td>
26.48
</td>
<td>
79.57
</td>
<td>
489.5
</td>
<td>
0.13560
</td>
<td>
0.10000
</td>
<td>
0.088030
</td>
<td>
0.043060
</td>
<td>
0.3200
</td>
<td>
0.06576
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
189
</th>
<td>
874839
</td>
<td>
B
</td>
<td>
12.300
</td>
<td>
15.90
</td>
<td>
78.83
</td>
<td>
463.7
</td>
<td>
0.08080
</td>
<td>
0.07253
</td>
<td>
0.038440
</td>
<td>
0.016540
</td>
<td>
0.1667
</td>
<td>
0.05474
</td>
<td>
0.2382
</td>
<td>
0.8355
</td>
<td>
1.6870
</td>
<td>
18.320
</td>
<td>
0.005996
</td>
<td>
0.022120
</td>
<td>
0.021170
</td>
<td>
0.006433
</td>
<td>
0.020250
</td>
<td>
0.001725
</td>
<td>
13.350
</td>
<td>
19.59
</td>
<td>
86.65
</td>
<td>
546.7
</td>
<td>
0.10960
</td>
<td>
0.16500
</td>
<td>
0.142300
</td>
<td>
0.048150
</td>
<td>
0.2482
</td>
<td>
0.06306
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
190
</th>
<td>
874858
</td>
<td>
M
</td>
<td>
14.220
</td>
<td>
23.12
</td>
<td>
94.37
</td>
<td>
609.9
</td>
<td>
0.10750
</td>
<td>
0.24130
</td>
<td>
0.198100
</td>
<td>
0.066180
</td>
<td>
0.2384
</td>
<td>
0.07542
</td>
<td>
0.2860
</td>
<td>
2.1100
</td>
<td>
2.1120
</td>
<td>
31.720
</td>
<td>
0.007970
</td>
<td>
0.135400
</td>
<td>
0.116600
</td>
<td>
0.016660
</td>
<td>
0.051130
</td>
<td>
0.011720
</td>
<td>
15.740
</td>
<td>
37.18
</td>
<td>
106.40
</td>
<td>
762.4
</td>
<td>
0.15330
</td>
<td>
0.93270
</td>
<td>
0.848800
</td>
<td>
0.177200
</td>
<td>
0.5166
</td>
<td>
0.14460
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
191
</th>
<td>
875093
</td>
<td>
B
</td>
<td>
12.770
</td>
<td>
21.41
</td>
<td>
82.02
</td>
<td>
507.4
</td>
<td>
0.08749
</td>
<td>
0.06601
</td>
<td>
0.031120
</td>
<td>
0.028640
</td>
<td>
0.1694
</td>
<td>
0.06287
</td>
<td>
0.7311
</td>
<td>
1.7480
</td>
<td>
5.1180
</td>
<td>
53.650
</td>
<td>
0.004571
</td>
<td>
0.017900
</td>
<td>
0.021760
</td>
<td>
0.017570
</td>
<td>
0.033730
</td>
<td>
0.005875
</td>
<td>
13.750
</td>
<td>
23.50
</td>
<td>
89.04
</td>
<td>
579.5
</td>
<td>
0.09388
</td>
<td>
0.08978
</td>
<td>
0.051860
</td>
<td>
0.047730
</td>
<td>
0.2179
</td>
<td>
0.06871
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
192
</th>
<td>
875099
</td>
<td>
B
</td>
<td>
9.720
</td>
<td>
18.22
</td>
<td>
60.73
</td>
<td>
288.1
</td>
<td>
0.06950
</td>
<td>
0.02344
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1653
</td>
<td>
0.06447
</td>
<td>
0.3539
</td>
<td>
4.8850
</td>
<td>
2.2300
</td>
<td>
21.690
</td>
<td>
0.001713
</td>
<td>
0.006736
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.037990
</td>
<td>
0.001688
</td>
<td>
9.968
</td>
<td>
20.83
</td>
<td>
62.25
</td>
<td>
303.8
</td>
<td>
0.07117
</td>
<td>
0.02729
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1909
</td>
<td>
0.06559
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
193
</th>
<td>
875263
</td>
<td>
M
</td>
<td>
12.340
</td>
<td>
26.86
</td>
<td>
81.15
</td>
<td>
477.4
</td>
<td>
0.10340
</td>
<td>
0.13530
</td>
<td>
0.108500
</td>
<td>
0.045620
</td>
<td>
0.1943
</td>
<td>
0.06937
</td>
<td>
0.4053
</td>
<td>
1.8090
</td>
<td>
2.6420
</td>
<td>
34.440
</td>
<td>
0.009098
</td>
<td>
0.038450
</td>
<td>
0.037630
</td>
<td>
0.013210
</td>
<td>
0.018780
</td>
<td>
0.005672
</td>
<td>
15.650
</td>
<td>
39.34
</td>
<td>
101.70
</td>
<td>
768.9
</td>
<td>
0.17850
</td>
<td>
0.47060
</td>
<td>
0.442500
</td>
<td>
0.145900
</td>
<td>
0.3215
</td>
<td>
0.12050
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
194
</th>
<td>
87556202
</td>
<td>
M
</td>
<td>
14.860
</td>
<td>
23.21
</td>
<td>
100.40
</td>
<td>
671.4
</td>
<td>
0.10440
</td>
<td>
0.19800
</td>
<td>
0.169700
</td>
<td>
0.088780
</td>
<td>
0.1737
</td>
<td>
0.06672
</td>
<td>
0.2796
</td>
<td>
0.9622
</td>
<td>
3.5910
</td>
<td>
25.200
</td>
<td>
0.008081
</td>
<td>
0.051220
</td>
<td>
0.055510
</td>
<td>
0.018830
</td>
<td>
0.025450
</td>
<td>
0.004312
</td>
<td>
16.080
</td>
<td>
27.78
</td>
<td>
118.60
</td>
<td>
784.7
</td>
<td>
0.13160
</td>
<td>
0.46480
</td>
<td>
0.458900
</td>
<td>
0.172700
</td>
<td>
0.3000
</td>
<td>
0.08701
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
195
</th>
<td>
875878
</td>
<td>
B
</td>
<td>
12.910
</td>
<td>
16.33
</td>
<td>
82.53
</td>
<td>
516.4
</td>
<td>
0.07941
</td>
<td>
0.05366
</td>
<td>
0.038730
</td>
<td>
0.023770
</td>
<td>
0.1829
</td>
<td>
0.05667
</td>
<td>
0.1942
</td>
<td>
0.9086
</td>
<td>
1.4930
</td>
<td>
15.750
</td>
<td>
0.005298
</td>
<td>
0.015870
</td>
<td>
0.023210
</td>
<td>
0.008420
</td>
<td>
0.018530
</td>
<td>
0.002152
</td>
<td>
13.880
</td>
<td>
22.00
</td>
<td>
90.81
</td>
<td>
600.6
</td>
<td>
0.10970
</td>
<td>
0.15060
</td>
<td>
0.176400
</td>
<td>
0.082350
</td>
<td>
0.3024
</td>
<td>
0.06949
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
196
</th>
<td>
875938
</td>
<td>
M
</td>
<td>
13.770
</td>
<td>
22.29
</td>
<td>
90.63
</td>
<td>
588.9
</td>
<td>
0.12000
</td>
<td>
0.12670
</td>
<td>
0.138500
</td>
<td>
0.065260
</td>
<td>
0.1834
</td>
<td>
0.06877
</td>
<td>
0.6191
</td>
<td>
2.1120
</td>
<td>
4.9060
</td>
<td>
49.700
</td>
<td>
0.013800
</td>
<td>
0.033480
</td>
<td>
0.046650
</td>
<td>
0.020600
</td>
<td>
0.026890
</td>
<td>
0.004306
</td>
<td>
16.390
</td>
<td>
34.01
</td>
<td>
111.60
</td>
<td>
806.9
</td>
<td>
0.17370
</td>
<td>
0.31220
</td>
<td>
0.380900
</td>
<td>
0.167300
</td>
<td>
0.3080
</td>
<td>
0.09333
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
197
</th>
<td>
877159
</td>
<td>
M
</td>
<td>
18.080
</td>
<td>
21.84
</td>
<td>
117.40
</td>
<td>
1024.0
</td>
<td>
0.07371
</td>
<td>
0.08642
</td>
<td>
0.110300
</td>
<td>
0.057780
</td>
<td>
0.1770
</td>
<td>
0.05340
</td>
<td>
0.6362
</td>
<td>
1.3050
</td>
<td>
4.3120
</td>
<td>
76.360
</td>
<td>
0.005530
</td>
<td>
0.052960
</td>
<td>
0.061100
</td>
<td>
0.014440
</td>
<td>
0.021400
</td>
<td>
0.005036
</td>
<td>
19.760
</td>
<td>
24.70
</td>
<td>
129.10
</td>
<td>
1228.0
</td>
<td>
0.08822
</td>
<td>
0.19630
</td>
<td>
0.253500
</td>
<td>
0.091810
</td>
<td>
0.2369
</td>
<td>
0.06558
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
198
</th>
<td>
877486
</td>
<td>
M
</td>
<td>
19.180
</td>
<td>
22.49
</td>
<td>
127.50
</td>
<td>
1148.0
</td>
<td>
0.08523
</td>
<td>
0.14280
</td>
<td>
0.111400
</td>
<td>
0.067720
</td>
<td>
0.1767
</td>
<td>
0.05529
</td>
<td>
0.4357
</td>
<td>
1.0730
</td>
<td>
3.8330
</td>
<td>
54.220
</td>
<td>
0.005524
</td>
<td>
0.036980
</td>
<td>
0.027060
</td>
<td>
0.012210
</td>
<td>
0.014150
</td>
<td>
0.003397
</td>
<td>
23.360
</td>
<td>
32.06
</td>
<td>
166.40
</td>
<td>
1688.0
</td>
<td>
0.13220
</td>
<td>
0.56010
</td>
<td>
0.386500
</td>
<td>
0.170800
</td>
<td>
0.3193
</td>
<td>
0.09221
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
199
</th>
<td>
877500
</td>
<td>
M
</td>
<td>
14.450
</td>
<td>
20.22
</td>
<td>
94.49
</td>
<td>
642.7
</td>
<td>
0.09872
</td>
<td>
0.12060
</td>
<td>
0.118000
</td>
<td>
0.059800
</td>
<td>
0.1950
</td>
<td>
0.06466
</td>
<td>
0.2092
</td>
<td>
0.6509
</td>
<td>
1.4460
</td>
<td>
19.420
</td>
<td>
0.004044
</td>
<td>
0.015970
</td>
<td>
0.020000
</td>
<td>
0.007303
</td>
<td>
0.015220
</td>
<td>
0.001976
</td>
<td>
18.330
</td>
<td>
30.12
</td>
<td>
117.90
</td>
<td>
1044.0
</td>
<td>
0.15520
</td>
<td>
0.40560
</td>
<td>
0.496700
</td>
<td>
0.183800
</td>
<td>
0.4753
</td>
<td>
0.10130
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
200
</th>
<td>
877501
</td>
<td>
B
</td>
<td>
12.230
</td>
<td>
19.56
</td>
<td>
78.54
</td>
<td>
461.0
</td>
<td>
0.09586
</td>
<td>
0.08087
</td>
<td>
0.041870
</td>
<td>
0.041070
</td>
<td>
0.1979
</td>
<td>
0.06013
</td>
<td>
0.3534
</td>
<td>
1.3260
</td>
<td>
2.3080
</td>
<td>
27.240
</td>
<td>
0.007514
</td>
<td>
0.017790
</td>
<td>
0.014010
</td>
<td>
0.011400
</td>
<td>
0.015030
</td>
<td>
0.003338
</td>
<td>
14.440
</td>
<td>
28.36
</td>
<td>
92.15
</td>
<td>
638.4
</td>
<td>
0.14290
</td>
<td>
0.20420
</td>
<td>
0.137700
</td>
<td>
0.108000
</td>
<td>
0.2668
</td>
<td>
0.08174
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
201
</th>
<td>
877989
</td>
<td>
M
</td>
<td>
17.540
</td>
<td>
19.32
</td>
<td>
115.10
</td>
<td>
951.6
</td>
<td>
0.08968
</td>
<td>
0.11980
</td>
<td>
0.103600
</td>
<td>
0.074880
</td>
<td>
0.1506
</td>
<td>
0.05491
</td>
<td>
0.3971
</td>
<td>
0.8282
</td>
<td>
3.0880
</td>
<td>
40.730
</td>
<td>
0.006090
</td>
<td>
0.025690
</td>
<td>
0.027130
</td>
<td>
0.013450
</td>
<td>
0.015940
</td>
<td>
0.002658
</td>
<td>
20.420
</td>
<td>
25.84
</td>
<td>
139.50
</td>
<td>
1239.0
</td>
<td>
0.13810
</td>
<td>
0.34200
</td>
<td>
0.350800
</td>
<td>
0.193900
</td>
<td>
0.2928
</td>
<td>
0.07867
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
202
</th>
<td>
878796
</td>
<td>
M
</td>
<td>
23.290
</td>
<td>
26.67
</td>
<td>
158.90
</td>
<td>
1685.0
</td>
<td>
0.11410
</td>
<td>
0.20840
</td>
<td>
0.352300
</td>
<td>
0.162000
</td>
<td>
0.2200
</td>
<td>
0.06229
</td>
<td>
0.5539
</td>
<td>
1.5600
</td>
<td>
4.6670
</td>
<td>
83.160
</td>
<td>
0.009327
</td>
<td>
0.051210
</td>
<td>
0.089580
</td>
<td>
0.024650
</td>
<td>
0.021750
</td>
<td>
0.005195
</td>
<td>
25.120
</td>
<td>
32.68
</td>
<td>
177.00
</td>
<td>
1986.0
</td>
<td>
0.15360
</td>
<td>
0.41670
</td>
<td>
0.789200
</td>
<td>
0.273300
</td>
<td>
0.3198
</td>
<td>
0.08762
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
203
</th>
<td>
87880
</td>
<td>
M
</td>
<td>
13.810
</td>
<td>
23.75
</td>
<td>
91.56
</td>
<td>
597.8
</td>
<td>
0.13230
</td>
<td>
0.17680
</td>
<td>
0.155800
</td>
<td>
0.091760
</td>
<td>
0.2251
</td>
<td>
0.07421
</td>
<td>
0.5648
</td>
<td>
1.9300
</td>
<td>
3.9090
</td>
<td>
52.720
</td>
<td>
0.008824
</td>
<td>
0.031080
</td>
<td>
0.031120
</td>
<td>
0.012910
</td>
<td>
0.019980
</td>
<td>
0.004506
</td>
<td>
19.200
</td>
<td>
41.85
</td>
<td>
128.50
</td>
<td>
1153.0
</td>
<td>
0.22260
</td>
<td>
0.52090
</td>
<td>
0.464600
</td>
<td>
0.201300
</td>
<td>
0.4432
</td>
<td>
0.10860
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
204
</th>
<td>
87930
</td>
<td>
B
</td>
<td>
12.470
</td>
<td>
18.60
</td>
<td>
81.09
</td>
<td>
481.9
</td>
<td>
0.09965
</td>
<td>
0.10580
</td>
<td>
0.080050
</td>
<td>
0.038210
</td>
<td>
0.1925
</td>
<td>
0.06373
</td>
<td>
0.3961
</td>
<td>
1.0440
</td>
<td>
2.4970
</td>
<td>
30.290
</td>
<td>
0.006953
</td>
<td>
0.019110
</td>
<td>
0.027010
</td>
<td>
0.010370
</td>
<td>
0.017820
</td>
<td>
0.003586
</td>
<td>
14.970
</td>
<td>
24.64
</td>
<td>
96.05
</td>
<td>
677.9
</td>
<td>
0.14260
</td>
<td>
0.23780
</td>
<td>
0.267100
</td>
<td>
0.101500
</td>
<td>
0.3014
</td>
<td>
0.08750
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
205
</th>
<td>
879523
</td>
<td>
M
</td>
<td>
15.120
</td>
<td>
16.68
</td>
<td>
98.78
</td>
<td>
716.6
</td>
<td>
0.08876
</td>
<td>
0.09588
</td>
<td>
0.075500
</td>
<td>
0.040790
</td>
<td>
0.1594
</td>
<td>
0.05986
</td>
<td>
0.2711
</td>
<td>
0.3621
</td>
<td>
1.9740
</td>
<td>
26.440
</td>
<td>
0.005472
</td>
<td>
0.019190
</td>
<td>
0.020390
</td>
<td>
0.008260
</td>
<td>
0.015230
</td>
<td>
0.002881
</td>
<td>
17.770
</td>
<td>
20.24
</td>
<td>
117.70
</td>
<td>
989.5
</td>
<td>
0.14910
</td>
<td>
0.33310
</td>
<td>
0.332700
</td>
<td>
0.125200
</td>
<td>
0.3415
</td>
<td>
0.09740
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
206
</th>
<td>
879804
</td>
<td>
B
</td>
<td>
9.876
</td>
<td>
17.27
</td>
<td>
62.92
</td>
<td>
295.4
</td>
<td>
0.10890
</td>
<td>
0.07232
</td>
<td>
0.017560
</td>
<td>
0.019520
</td>
<td>
0.1934
</td>
<td>
0.06285
</td>
<td>
0.2137
</td>
<td>
1.3420
</td>
<td>
1.5170
</td>
<td>
12.330
</td>
<td>
0.009719
</td>
<td>
0.012490
</td>
<td>
0.007975
</td>
<td>
0.007527
</td>
<td>
0.022100
</td>
<td>
0.002472
</td>
<td>
10.420
</td>
<td>
23.22
</td>
<td>
67.08
</td>
<td>
331.6
</td>
<td>
0.14150
</td>
<td>
0.12470
</td>
<td>
0.062130
</td>
<td>
0.055880
</td>
<td>
0.2989
</td>
<td>
0.07380
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
207
</th>
<td>
879830
</td>
<td>
M
</td>
<td>
17.010
</td>
<td>
20.26
</td>
<td>
109.70
</td>
<td>
904.3
</td>
<td>
0.08772
</td>
<td>
0.07304
</td>
<td>
0.069500
</td>
<td>
0.053900
</td>
<td>
0.2026
</td>
<td>
0.05223
</td>
<td>
0.5858
</td>
<td>
0.8554
</td>
<td>
4.1060
</td>
<td>
68.460
</td>
<td>
0.005038
</td>
<td>
0.015030
</td>
<td>
0.019460
</td>
<td>
0.011230
</td>
<td>
0.022940
</td>
<td>
0.002581
</td>
<td>
19.800
</td>
<td>
25.05
</td>
<td>
130.00
</td>
<td>
1210.0
</td>
<td>
0.11110
</td>
<td>
0.14860
</td>
<td>
0.193200
</td>
<td>
0.109600
</td>
<td>
0.3275
</td>
<td>
0.06469
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
208
</th>
<td>
8810158
</td>
<td>
B
</td>
<td>
13.110
</td>
<td>
22.54
</td>
<td>
87.02
</td>
<td>
529.4
</td>
<td>
0.10020
</td>
<td>
0.14830
</td>
<td>
0.087050
</td>
<td>
0.051020
</td>
<td>
0.1850
</td>
<td>
0.07310
</td>
<td>
0.1931
</td>
<td>
0.9223
</td>
<td>
1.4910
</td>
<td>
15.090
</td>
<td>
0.005251
</td>
<td>
0.030410
</td>
<td>
0.025260
</td>
<td>
0.008304
</td>
<td>
0.025140
</td>
<td>
0.004198
</td>
<td>
14.550
</td>
<td>
29.16
</td>
<td>
99.48
</td>
<td>
639.3
</td>
<td>
0.13490
</td>
<td>
0.44020
</td>
<td>
0.316200
</td>
<td>
0.112600
</td>
<td>
0.4128
</td>
<td>
0.10760
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
209
</th>
<td>
8810436
</td>
<td>
B
</td>
<td>
15.270
</td>
<td>
12.91
</td>
<td>
98.17
</td>
<td>
725.5
</td>
<td>
0.08182
</td>
<td>
0.06230
</td>
<td>
0.058920
</td>
<td>
0.031570
</td>
<td>
0.1359
</td>
<td>
0.05526
</td>
<td>
0.2134
</td>
<td>
0.3628
</td>
<td>
1.5250
</td>
<td>
20.000
</td>
<td>
0.004291
</td>
<td>
0.012360
</td>
<td>
0.018410
</td>
<td>
0.007373
</td>
<td>
0.009539
</td>
<td>
0.001656
</td>
<td>
17.380
</td>
<td>
15.92
</td>
<td>
113.70
</td>
<td>
932.7
</td>
<td>
0.12220
</td>
<td>
0.21860
</td>
<td>
0.296200
</td>
<td>
0.103500
</td>
<td>
0.2320
</td>
<td>
0.07474
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
210
</th>
<td>
881046502
</td>
<td>
M
</td>
<td>
20.580
</td>
<td>
22.14
</td>
<td>
134.70
</td>
<td>
1290.0
</td>
<td>
0.09090
</td>
<td>
0.13480
</td>
<td>
0.164000
</td>
<td>
0.095610
</td>
<td>
0.1765
</td>
<td>
0.05024
</td>
<td>
0.8601
</td>
<td>
1.4800
</td>
<td>
7.0290
</td>
<td>
111.700
</td>
<td>
0.008124
</td>
<td>
0.036110
</td>
<td>
0.054890
</td>
<td>
0.027650
</td>
<td>
0.031760
</td>
<td>
0.002365
</td>
<td>
23.240
</td>
<td>
27.84
</td>
<td>
158.30
</td>
<td>
1656.0
</td>
<td>
0.11780
</td>
<td>
0.29200
</td>
<td>
0.386100
</td>
<td>
0.192000
</td>
<td>
0.2909
</td>
<td>
0.05865
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
211
</th>
<td>
8810528
</td>
<td>
B
</td>
<td>
11.840
</td>
<td>
18.94
</td>
<td>
75.51
</td>
<td>
428.0
</td>
<td>
0.08871
</td>
<td>
0.06900
</td>
<td>
0.026690
</td>
<td>
0.013930
</td>
<td>
0.1533
</td>
<td>
0.06057
</td>
<td>
0.2222
</td>
<td>
0.8652
</td>
<td>
1.4440
</td>
<td>
17.120
</td>
<td>
0.005517
</td>
<td>
0.017270
</td>
<td>
0.020450
</td>
<td>
0.006747
</td>
<td>
0.016160
</td>
<td>
0.002922
</td>
<td>
13.300
</td>
<td>
24.99
</td>
<td>
85.22
</td>
<td>
546.3
</td>
<td>
0.12800
</td>
<td>
0.18800
</td>
<td>
0.147100
</td>
<td>
0.069130
</td>
<td>
0.2535
</td>
<td>
0.07993
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
212
</th>
<td>
8810703
</td>
<td>
M
</td>
<td>
28.110
</td>
<td>
18.47
</td>
<td>
188.50
</td>
<td>
2499.0
</td>
<td>
0.11420
</td>
<td>
0.15160
</td>
<td>
0.320100
</td>
<td>
0.159500
</td>
<td>
0.1648
</td>
<td>
0.05525
</td>
<td>
2.8730
</td>
<td>
1.4760
</td>
<td>
21.9800
</td>
<td>
525.600
</td>
<td>
0.013450
</td>
<td>
0.027720
</td>
<td>
0.063890
</td>
<td>
0.014070
</td>
<td>
0.047830
</td>
<td>
0.004476
</td>
<td>
28.110
</td>
<td>
18.47
</td>
<td>
188.50
</td>
<td>
2499.0
</td>
<td>
0.11420
</td>
<td>
0.15160
</td>
<td>
0.320100
</td>
<td>
0.159500
</td>
<td>
0.1648
</td>
<td>
0.05525
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
213
</th>
<td>
881094802
</td>
<td>
M
</td>
<td>
17.420
</td>
<td>
25.56
</td>
<td>
114.50
</td>
<td>
948.0
</td>
<td>
0.10060
</td>
<td>
0.11460
</td>
<td>
0.168200
</td>
<td>
0.065970
</td>
<td>
0.1308
</td>
<td>
0.05866
</td>
<td>
0.5296
</td>
<td>
1.6670
</td>
<td>
3.7670
</td>
<td>
58.530
</td>
<td>
0.031130
</td>
<td>
0.085550
</td>
<td>
0.143800
</td>
<td>
0.039270
</td>
<td>
0.021750
</td>
<td>
0.012560
</td>
<td>
18.070
</td>
<td>
28.07
</td>
<td>
120.40
</td>
<td>
1021.0
</td>
<td>
0.12430
</td>
<td>
0.17930
</td>
<td>
0.280300
</td>
<td>
0.109900
</td>
<td>
0.1603
</td>
<td>
0.06818
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
214
</th>
<td>
8810955
</td>
<td>
M
</td>
<td>
14.190
</td>
<td>
23.81
</td>
<td>
92.87
</td>
<td>
610.7
</td>
<td>
0.09463
</td>
<td>
0.13060
</td>
<td>
0.111500
</td>
<td>
0.064620
</td>
<td>
0.2235
</td>
<td>
0.06433
</td>
<td>
0.4207
</td>
<td>
1.8450
</td>
<td>
3.5340
</td>
<td>
31.000
</td>
<td>
0.010880
</td>
<td>
0.037100
</td>
<td>
0.036880
</td>
<td>
0.016270
</td>
<td>
0.044990
</td>
<td>
0.004768
</td>
<td>
16.860
</td>
<td>
34.85
</td>
<td>
115.00
</td>
<td>
811.3
</td>
<td>
0.15590
</td>
<td>
0.40590
</td>
<td>
0.374400
</td>
<td>
0.177200
</td>
<td>
0.4724
</td>
<td>
0.10260
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
215
</th>
<td>
8810987
</td>
<td>
M
</td>
<td>
13.860
</td>
<td>
16.93
</td>
<td>
90.96
</td>
<td>
578.9
</td>
<td>
0.10260
</td>
<td>
0.15170
</td>
<td>
0.099010
</td>
<td>
0.056020
</td>
<td>
0.2106
</td>
<td>
0.06916
</td>
<td>
0.2563
</td>
<td>
1.1940
</td>
<td>
1.9330
</td>
<td>
22.690
</td>
<td>
0.005960
</td>
<td>
0.034380
</td>
<td>
0.039090
</td>
<td>
0.014350
</td>
<td>
0.019390
</td>
<td>
0.004560
</td>
<td>
15.750
</td>
<td>
26.93
</td>
<td>
104.40
</td>
<td>
750.1
</td>
<td>
0.14600
</td>
<td>
0.43700
</td>
<td>
0.463600
</td>
<td>
0.165400
</td>
<td>
0.3630
</td>
<td>
0.10590
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
216
</th>
<td>
8811523
</td>
<td>
B
</td>
<td>
11.890
</td>
<td>
18.35
</td>
<td>
77.32
</td>
<td>
432.2
</td>
<td>
0.09363
</td>
<td>
0.11540
</td>
<td>
0.066360
</td>
<td>
0.031420
</td>
<td>
0.1967
</td>
<td>
0.06314
</td>
<td>
0.2963
</td>
<td>
1.5630
</td>
<td>
2.0870
</td>
<td>
21.460
</td>
<td>
0.008872
</td>
<td>
0.041920
</td>
<td>
0.059460
</td>
<td>
0.017850
</td>
<td>
0.027930
</td>
<td>
0.004775
</td>
<td>
13.250
</td>
<td>
27.10
</td>
<td>
86.20
</td>
<td>
531.2
</td>
<td>
0.14050
</td>
<td>
0.30460
</td>
<td>
0.280600
</td>
<td>
0.113800
</td>
<td>
0.3397
</td>
<td>
0.08365
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
217
</th>
<td>
8811779
</td>
<td>
B
</td>
<td>
10.200
</td>
<td>
17.48
</td>
<td>
65.05
</td>
<td>
321.2
</td>
<td>
0.08054
</td>
<td>
0.05907
</td>
<td>
0.057740
</td>
<td>
0.010710
</td>
<td>
0.1964
</td>
<td>
0.06315
</td>
<td>
0.3567
</td>
<td>
1.9220
</td>
<td>
2.7470
</td>
<td>
22.790
</td>
<td>
0.004680
</td>
<td>
0.031200
</td>
<td>
0.057740
</td>
<td>
0.010710
</td>
<td>
0.025600
</td>
<td>
0.004613
</td>
<td>
11.480
</td>
<td>
24.47
</td>
<td>
75.40
</td>
<td>
403.7
</td>
<td>
0.09527
</td>
<td>
0.13970
</td>
<td>
0.192500
</td>
<td>
0.035710
</td>
<td>
0.2868
</td>
<td>
0.07809
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
218
</th>
<td>
8811842
</td>
<td>
M
</td>
<td>
19.800
</td>
<td>
21.56
</td>
<td>
129.70
</td>
<td>
1230.0
</td>
<td>
0.09383
</td>
<td>
0.13060
</td>
<td>
0.127200
</td>
<td>
0.086910
</td>
<td>
0.2094
</td>
<td>
0.05581
</td>
<td>
0.9553
</td>
<td>
1.1860
</td>
<td>
6.4870
</td>
<td>
124.400
</td>
<td>
0.006804
</td>
<td>
0.031690
</td>
<td>
0.034460
</td>
<td>
0.017120
</td>
<td>
0.018970
</td>
<td>
0.004045
</td>
<td>
25.730
</td>
<td>
28.64
</td>
<td>
170.30
</td>
<td>
2009.0
</td>
<td>
0.13530
</td>
<td>
0.32350
</td>
<td>
0.361700
</td>
<td>
0.182000
</td>
<td>
0.3070
</td>
<td>
0.08255
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
219
</th>
<td>
88119002
</td>
<td>
M
</td>
<td>
19.530
</td>
<td>
32.47
</td>
<td>
128.00
</td>
<td>
1223.0
</td>
<td>
0.08420
</td>
<td>
0.11300
</td>
<td>
0.114500
</td>
<td>
0.066370
</td>
<td>
0.1428
</td>
<td>
0.05313
</td>
<td>
0.7392
</td>
<td>
1.3210
</td>
<td>
4.7220
</td>
<td>
109.900
</td>
<td>
0.005539
</td>
<td>
0.026440
</td>
<td>
0.026640
</td>
<td>
0.010780
</td>
<td>
0.013320
</td>
<td>
0.002256
</td>
<td>
27.900
</td>
<td>
45.41
</td>
<td>
180.20
</td>
<td>
2477.0
</td>
<td>
0.14080
</td>
<td>
0.40970
</td>
<td>
0.399500
</td>
<td>
0.162500
</td>
<td>
0.2713
</td>
<td>
0.07568
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
220
</th>
<td>
8812816
</td>
<td>
B
</td>
<td>
13.650
</td>
<td>
13.16
</td>
<td>
87.88
</td>
<td>
568.9
</td>
<td>
0.09646
</td>
<td>
0.08711
</td>
<td>
0.038880
</td>
<td>
0.025630
</td>
<td>
0.1360
</td>
<td>
0.06344
</td>
<td>
0.2102
</td>
<td>
0.4336
</td>
<td>
1.3910
</td>
<td>
17.400
</td>
<td>
0.004133
</td>
<td>
0.016950
</td>
<td>
0.016520
</td>
<td>
0.006659
</td>
<td>
0.013710
</td>
<td>
0.002735
</td>
<td>
15.340
</td>
<td>
16.35
</td>
<td>
99.71
</td>
<td>
706.2
</td>
<td>
0.13110
</td>
<td>
0.24740
</td>
<td>
0.175900
</td>
<td>
0.080560
</td>
<td>
0.2380
</td>
<td>
0.08718
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
221
</th>
<td>
8812818
</td>
<td>
B
</td>
<td>
13.560
</td>
<td>
13.90
</td>
<td>
88.59
</td>
<td>
561.3
</td>
<td>
0.10510
</td>
<td>
0.11920
</td>
<td>
0.078600
</td>
<td>
0.044510
</td>
<td>
0.1962
</td>
<td>
0.06303
</td>
<td>
0.2569
</td>
<td>
0.4981
</td>
<td>
2.0110
</td>
<td>
21.030
</td>
<td>
0.005851
</td>
<td>
0.023140
</td>
<td>
0.025440
</td>
<td>
0.008360
</td>
<td>
0.018420
</td>
<td>
0.002918
</td>
<td>
14.980
</td>
<td>
17.13
</td>
<td>
101.10
</td>
<td>
686.6
</td>
<td>
0.13760
</td>
<td>
0.26980
</td>
<td>
0.257700
</td>
<td>
0.090900
</td>
<td>
0.3065
</td>
<td>
0.08177
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
222
</th>
<td>
8812844
</td>
<td>
B
</td>
<td>
10.180
</td>
<td>
17.53
</td>
<td>
65.12
</td>
<td>
313.1
</td>
<td>
0.10610
</td>
<td>
0.08502
</td>
<td>
0.017680
</td>
<td>
0.019150
</td>
<td>
0.1910
</td>
<td>
0.06908
</td>
<td>
0.2467
</td>
<td>
1.2170
</td>
<td>
1.6410
</td>
<td>
15.050
</td>
<td>
0.007899
</td>
<td>
0.014000
</td>
<td>
0.008534
</td>
<td>
0.007624
</td>
<td>
0.026370
</td>
<td>
0.003761
</td>
<td>
11.170
</td>
<td>
22.84
</td>
<td>
71.94
</td>
<td>
375.6
</td>
<td>
0.14060
</td>
<td>
0.14400
</td>
<td>
0.065720
</td>
<td>
0.055750
</td>
<td>
0.3055
</td>
<td>
0.08797
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
223
</th>
<td>
8812877
</td>
<td>
M
</td>
<td>
15.750
</td>
<td>
20.25
</td>
<td>
102.60
</td>
<td>
761.3
</td>
<td>
0.10250
</td>
<td>
0.12040
</td>
<td>
0.114700
</td>
<td>
0.064620
</td>
<td>
0.1935
</td>
<td>
0.06303
</td>
<td>
0.3473
</td>
<td>
0.9209
</td>
<td>
2.2440
</td>
<td>
32.190
</td>
<td>
0.004766
</td>
<td>
0.023740
</td>
<td>
0.023840
</td>
<td>
0.008637
</td>
<td>
0.017720
</td>
<td>
0.003131
</td>
<td>
19.560
</td>
<td>
30.29
</td>
<td>
125.90
</td>
<td>
1088.0
</td>
<td>
0.15520
</td>
<td>
0.44800
</td>
<td>
0.397600
</td>
<td>
0.147900
</td>
<td>
0.3993
</td>
<td>
0.10640
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
224
</th>
<td>
8813129
</td>
<td>
B
</td>
<td>
13.270
</td>
<td>
17.02
</td>
<td>
84.55
</td>
<td>
546.4
</td>
<td>
0.08445
</td>
<td>
0.04994
</td>
<td>
0.035540
</td>
<td>
0.024560
</td>
<td>
0.1496
</td>
<td>
0.05674
</td>
<td>
0.2927
</td>
<td>
0.8907
</td>
<td>
2.0440
</td>
<td>
24.680
</td>
<td>
0.006032
</td>
<td>
0.011040
</td>
<td>
0.022590
</td>
<td>
0.009057
</td>
<td>
0.014820
</td>
<td>
0.002496
</td>
<td>
15.140
</td>
<td>
23.60
</td>
<td>
98.84
</td>
<td>
708.8
</td>
<td>
0.12760
</td>
<td>
0.13110
</td>
<td>
0.178600
</td>
<td>
0.096780
</td>
<td>
0.2506
</td>
<td>
0.07623
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
225
</th>
<td>
88143502
</td>
<td>
B
</td>
<td>
14.340
</td>
<td>
13.47
</td>
<td>
92.51
</td>
<td>
641.2
</td>
<td>
0.09906
</td>
<td>
0.07624
</td>
<td>
0.057240
</td>
<td>
0.046030
</td>
<td>
0.2075
</td>
<td>
0.05448
</td>
<td>
0.5220
</td>
<td>
0.8121
</td>
<td>
3.7630
</td>
<td>
48.290
</td>
<td>
0.007089
</td>
<td>
0.014280
</td>
<td>
0.023600
</td>
<td>
0.012860
</td>
<td>
0.022660
</td>
<td>
0.001463
</td>
<td>
16.770
</td>
<td>
16.90
</td>
<td>
110.40
</td>
<td>
873.2
</td>
<td>
0.12970
</td>
<td>
0.15250
</td>
<td>
0.163200
</td>
<td>
0.108700
</td>
<td>
0.3062
</td>
<td>
0.06072
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
226
</th>
<td>
88147101
</td>
<td>
B
</td>
<td>
10.440
</td>
<td>
15.46
</td>
<td>
66.62
</td>
<td>
329.6
</td>
<td>
0.10530
</td>
<td>
0.07722
</td>
<td>
0.006643
</td>
<td>
0.012160
</td>
<td>
0.1788
</td>
<td>
0.06450
</td>
<td>
0.1913
</td>
<td>
0.9027
</td>
<td>
1.2080
</td>
<td>
11.860
</td>
<td>
0.006513
</td>
<td>
0.008061
</td>
<td>
0.002817
</td>
<td>
0.004972
</td>
<td>
0.015020
</td>
<td>
0.002821
</td>
<td>
11.520
</td>
<td>
19.80
</td>
<td>
73.47
</td>
<td>
395.4
</td>
<td>
0.13410
</td>
<td>
0.11530
</td>
<td>
0.026390
</td>
<td>
0.044640
</td>
<td>
0.2615
</td>
<td>
0.08269
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
227
</th>
<td>
88147102
</td>
<td>
B
</td>
<td>
15.000
</td>
<td>
15.51
</td>
<td>
97.45
</td>
<td>
684.5
</td>
<td>
0.08371
</td>
<td>
0.10960
</td>
<td>
0.065050
</td>
<td>
0.037800
</td>
<td>
0.1881
</td>
<td>
0.05907
</td>
<td>
0.2318
</td>
<td>
0.4966
</td>
<td>
2.2760
</td>
<td>
19.880
</td>
<td>
0.004119
</td>
<td>
0.032070
</td>
<td>
0.036440
</td>
<td>
0.011550
</td>
<td>
0.013910
</td>
<td>
0.003204
</td>
<td>
16.410
</td>
<td>
19.31
</td>
<td>
114.20
</td>
<td>
808.2
</td>
<td>
0.11360
</td>
<td>
0.36270
</td>
<td>
0.340200
</td>
<td>
0.137900
</td>
<td>
0.2954
</td>
<td>
0.08362
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
228
</th>
<td>
88147202
</td>
<td>
B
</td>
<td>
12.620
</td>
<td>
23.97
</td>
<td>
81.35
</td>
<td>
496.4
</td>
<td>
0.07903
</td>
<td>
0.07529
</td>
<td>
0.054380
</td>
<td>
0.020360
</td>
<td>
0.1514
</td>
<td>
0.06019
</td>
<td>
0.2449
</td>
<td>
1.0660
</td>
<td>
1.4450
</td>
<td>
18.510
</td>
<td>
0.005169
</td>
<td>
0.022940
</td>
<td>
0.030160
</td>
<td>
0.008691
</td>
<td>
0.013650
</td>
<td>
0.003407
</td>
<td>
14.200
</td>
<td>
31.31
</td>
<td>
90.67
</td>
<td>
624.0
</td>
<td>
0.12270
</td>
<td>
0.34540
</td>
<td>
0.391100
</td>
<td>
0.118000
</td>
<td>
0.2826
</td>
<td>
0.09585
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
229
</th>
<td>
881861
</td>
<td>
M
</td>
<td>
12.830
</td>
<td>
22.33
</td>
<td>
85.26
</td>
<td>
503.2
</td>
<td>
0.10880
</td>
<td>
0.17990
</td>
<td>
0.169500
</td>
<td>
0.068610
</td>
<td>
0.2123
</td>
<td>
0.07254
</td>
<td>
0.3061
</td>
<td>
1.0690
</td>
<td>
2.2570
</td>
<td>
25.130
</td>
<td>
0.006983
</td>
<td>
0.038580
</td>
<td>
0.046830
</td>
<td>
0.014990
</td>
<td>
0.016800
</td>
<td>
0.005617
</td>
<td>
15.200
</td>
<td>
30.15
</td>
<td>
105.30
</td>
<td>
706.0
</td>
<td>
0.17770
</td>
<td>
0.53430
</td>
<td>
0.628200
</td>
<td>
0.197700
</td>
<td>
0.3407
</td>
<td>
0.12430
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
230
</th>
<td>
881972
</td>
<td>
M
</td>
<td>
17.050
</td>
<td>
19.08
</td>
<td>
113.40
</td>
<td>
895.0
</td>
<td>
0.11410
</td>
<td>
0.15720
</td>
<td>
0.191000
</td>
<td>
0.109000
</td>
<td>
0.2131
</td>
<td>
0.06325
</td>
<td>
0.2959
</td>
<td>
0.6790
</td>
<td>
2.1530
</td>
<td>
31.980
</td>
<td>
0.005532
</td>
<td>
0.020080
</td>
<td>
0.030550
</td>
<td>
0.013840
</td>
<td>
0.011770
</td>
<td>
0.002336
</td>
<td>
19.590
</td>
<td>
24.89
</td>
<td>
133.50
</td>
<td>
1189.0
</td>
<td>
0.17030
</td>
<td>
0.39340
</td>
<td>
0.501800
</td>
<td>
0.254300
</td>
<td>
0.3109
</td>
<td>
0.09061
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
231
</th>
<td>
88199202
</td>
<td>
B
</td>
<td>
11.320
</td>
<td>
27.08
</td>
<td>
71.76
</td>
<td>
395.7
</td>
<td>
0.06883
</td>
<td>
0.03813
</td>
<td>
0.016330
</td>
<td>
0.003125
</td>
<td>
0.1869
</td>
<td>
0.05628
</td>
<td>
0.1210
</td>
<td>
0.8927
</td>
<td>
1.0590
</td>
<td>
8.605
</td>
<td>
0.003653
</td>
<td>
0.016470
</td>
<td>
0.016330
</td>
<td>
0.003125
</td>
<td>
0.015370
</td>
<td>
0.002052
</td>
<td>
12.080
</td>
<td>
33.75
</td>
<td>
79.82
</td>
<td>
452.3
</td>
<td>
0.09203
</td>
<td>
0.14320
</td>
<td>
0.108900
</td>
<td>
0.020830
</td>
<td>
0.2849
</td>
<td>
0.07087
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
232
</th>
<td>
88203002
</td>
<td>
B
</td>
<td>
11.220
</td>
<td>
33.81
</td>
<td>
70.79
</td>
<td>
386.8
</td>
<td>
0.07780
</td>
<td>
0.03574
</td>
<td>
0.004967
</td>
<td>
0.006434
</td>
<td>
0.1845
</td>
<td>
0.05828
</td>
<td>
0.2239
</td>
<td>
1.6470
</td>
<td>
1.4890
</td>
<td>
15.460
</td>
<td>
0.004359
</td>
<td>
0.006813
</td>
<td>
0.003223
</td>
<td>
0.003419
</td>
<td>
0.019160
</td>
<td>
0.002534
</td>
<td>
12.360
</td>
<td>
41.78
</td>
<td>
78.44
</td>
<td>
470.9
</td>
<td>
0.09994
</td>
<td>
0.06885
</td>
<td>
0.023180
</td>
<td>
0.030020
</td>
<td>
0.2911
</td>
<td>
0.07307
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
233
</th>
<td>
88206102
</td>
<td>
M
</td>
<td>
20.510
</td>
<td>
27.81
</td>
<td>
134.40
</td>
<td>
1319.0
</td>
<td>
0.09159
</td>
<td>
0.10740
</td>
<td>
0.155400
</td>
<td>
0.083400
</td>
<td>
0.1448
</td>
<td>
0.05592
</td>
<td>
0.5240
</td>
<td>
1.1890
</td>
<td>
3.7670
</td>
<td>
70.010
</td>
<td>
0.005020
</td>
<td>
0.020620
</td>
<td>
0.034570
</td>
<td>
0.010910
</td>
<td>
0.012980
</td>
<td>
0.002887
</td>
<td>
24.470
</td>
<td>
37.38
</td>
<td>
162.70
</td>
<td>
1872.0
</td>
<td>
0.12230
</td>
<td>
0.27610
</td>
<td>
0.414600
</td>
<td>
0.156300
</td>
<td>
0.2437
</td>
<td>
0.08328
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
234
</th>
<td>
882488
</td>
<td>
B
</td>
<td>
9.567
</td>
<td>
15.91
</td>
<td>
60.21
</td>
<td>
279.6
</td>
<td>
0.08464
</td>
<td>
0.04087
</td>
<td>
0.016520
</td>
<td>
0.016670
</td>
<td>
0.1551
</td>
<td>
0.06403
</td>
<td>
0.2152
</td>
<td>
0.8301
</td>
<td>
1.2150
</td>
<td>
12.640
</td>
<td>
0.011640
</td>
<td>
0.010400
</td>
<td>
0.011860
</td>
<td>
0.009623
</td>
<td>
0.023830
</td>
<td>
0.003540
</td>
<td>
10.510
</td>
<td>
19.16
</td>
<td>
65.74
</td>
<td>
335.9
</td>
<td>
0.15040
</td>
<td>
0.09515
</td>
<td>
0.071610
</td>
<td>
0.072220
</td>
<td>
0.2757
</td>
<td>
0.08178
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
235
</th>
<td>
88249602
</td>
<td>
B
</td>
<td>
14.030
</td>
<td>
21.25
</td>
<td>
89.79
</td>
<td>
603.4
</td>
<td>
0.09070
</td>
<td>
0.06945
</td>
<td>
0.014620
</td>
<td>
0.018960
</td>
<td>
0.1517
</td>
<td>
0.05835
</td>
<td>
0.2589
</td>
<td>
1.5030
</td>
<td>
1.6670
</td>
<td>
22.070
</td>
<td>
0.007389
</td>
<td>
0.013830
</td>
<td>
0.007302
</td>
<td>
0.010040
</td>
<td>
0.012630
</td>
<td>
0.002925
</td>
<td>
15.330
</td>
<td>
30.28
</td>
<td>
98.27
</td>
<td>
715.5
</td>
<td>
0.12870
</td>
<td>
0.15130
</td>
<td>
0.062310
</td>
<td>
0.079630
</td>
<td>
0.2226
</td>
<td>
0.07617
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
236
</th>
<td>
88299702
</td>
<td>
M
</td>
<td>
23.210
</td>
<td>
26.97
</td>
<td>
153.50
</td>
<td>
1670.0
</td>
<td>
0.09509
</td>
<td>
0.16820
</td>
<td>
0.195000
</td>
<td>
0.123700
</td>
<td>
0.1909
</td>
<td>
0.06309
</td>
<td>
1.0580
</td>
<td>
0.9635
</td>
<td>
7.2470
</td>
<td>
155.800
</td>
<td>
0.006428
</td>
<td>
0.028630
</td>
<td>
0.044970
</td>
<td>
0.017160
</td>
<td>
0.015900
</td>
<td>
0.003053
</td>
<td>
31.010
</td>
<td>
34.51
</td>
<td>
206.00
</td>
<td>
2944.0
</td>
<td>
0.14810
</td>
<td>
0.41260
</td>
<td>
0.582000
</td>
<td>
0.259300
</td>
<td>
0.3103
</td>
<td>
0.08677
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
237
</th>
<td>
883263
</td>
<td>
M
</td>
<td>
20.480
</td>
<td>
21.46
</td>
<td>
132.50
</td>
<td>
1306.0
</td>
<td>
0.08355
</td>
<td>
0.08348
</td>
<td>
0.090420
</td>
<td>
0.060220
</td>
<td>
0.1467
</td>
<td>
0.05177
</td>
<td>
0.6874
</td>
<td>
1.0410
</td>
<td>
5.1440
</td>
<td>
83.500
</td>
<td>
0.007959
</td>
<td>
0.031330
</td>
<td>
0.042570
</td>
<td>
0.016710
</td>
<td>
0.013410
</td>
<td>
0.003933
</td>
<td>
24.220
</td>
<td>
26.17
</td>
<td>
161.70
</td>
<td>
1750.0
</td>
<td>
0.12280
</td>
<td>
0.23110
</td>
<td>
0.315800
</td>
<td>
0.144500
</td>
<td>
0.2238
</td>
<td>
0.07127
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
238
</th>
<td>
883270
</td>
<td>
B
</td>
<td>
14.220
</td>
<td>
27.85
</td>
<td>
92.55
</td>
<td>
623.9
</td>
<td>
0.08223
</td>
<td>
0.10390
</td>
<td>
0.110300
</td>
<td>
0.044080
</td>
<td>
0.1342
</td>
<td>
0.06129
</td>
<td>
0.3354
</td>
<td>
2.3240
</td>
<td>
2.1050
</td>
<td>
29.960
</td>
<td>
0.006307
</td>
<td>
0.028450
</td>
<td>
0.038500
</td>
<td>
0.010110
</td>
<td>
0.011850
</td>
<td>
0.003589
</td>
<td>
15.750
</td>
<td>
40.54
</td>
<td>
102.50
</td>
<td>
764.0
</td>
<td>
0.10810
</td>
<td>
0.24260
</td>
<td>
0.306400
</td>
<td>
0.082190
</td>
<td>
0.1890
</td>
<td>
0.07796
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
239
</th>
<td>
88330202
</td>
<td>
M
</td>
<td>
17.460
</td>
<td>
39.28
</td>
<td>
113.40
</td>
<td>
920.6
</td>
<td>
0.09812
</td>
<td>
0.12980
</td>
<td>
0.141700
</td>
<td>
0.088110
</td>
<td>
0.1809
</td>
<td>
0.05966
</td>
<td>
0.5366
</td>
<td>
0.8561
</td>
<td>
3.0020
</td>
<td>
49.000
</td>
<td>
0.004860
</td>
<td>
0.027850
</td>
<td>
0.026020
</td>
<td>
0.013740
</td>
<td>
0.012260
</td>
<td>
0.002759
</td>
<td>
22.510
</td>
<td>
44.87
</td>
<td>
141.20
</td>
<td>
1408.0
</td>
<td>
0.13650
</td>
<td>
0.37350
</td>
<td>
0.324100
</td>
<td>
0.206600
</td>
<td>
0.2853
</td>
<td>
0.08496
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
240
</th>
<td>
88350402
</td>
<td>
B
</td>
<td>
13.640
</td>
<td>
15.60
</td>
<td>
87.38
</td>
<td>
575.3
</td>
<td>
0.09423
</td>
<td>
0.06630
</td>
<td>
0.047050
</td>
<td>
0.037310
</td>
<td>
0.1717
</td>
<td>
0.05660
</td>
<td>
0.3242
</td>
<td>
0.6612
</td>
<td>
1.9960
</td>
<td>
27.190
</td>
<td>
0.006470
</td>
<td>
0.012480
</td>
<td>
0.018100
</td>
<td>
0.011030
</td>
<td>
0.018980
</td>
<td>
0.001794
</td>
<td>
14.850
</td>
<td>
19.05
</td>
<td>
94.11
</td>
<td>
683.4
</td>
<td>
0.12780
</td>
<td>
0.12910
</td>
<td>
0.153300
</td>
<td>
0.092220
</td>
<td>
0.2530
</td>
<td>
0.06510
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
241
</th>
<td>
883539
</td>
<td>
B
</td>
<td>
12.420
</td>
<td>
15.04
</td>
<td>
78.61
</td>
<td>
476.5
</td>
<td>
0.07926
</td>
<td>
0.03393
</td>
<td>
0.010530
</td>
<td>
0.011080
</td>
<td>
0.1546
</td>
<td>
0.05754
</td>
<td>
0.1153
</td>
<td>
0.6745
</td>
<td>
0.7570
</td>
<td>
9.006
</td>
<td>
0.003265
</td>
<td>
0.004930
</td>
<td>
0.006493
</td>
<td>
0.003762
</td>
<td>
0.017200
</td>
<td>
0.001360
</td>
<td>
13.200
</td>
<td>
20.37
</td>
<td>
83.85
</td>
<td>
543.4
</td>
<td>
0.10370
</td>
<td>
0.07776
</td>
<td>
0.062430
</td>
<td>
0.040520
</td>
<td>
0.2901
</td>
<td>
0.06783
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
242
</th>
<td>
883852
</td>
<td>
B
</td>
<td>
11.300
</td>
<td>
18.19
</td>
<td>
73.93
</td>
<td>
389.4
</td>
<td>
0.09592
</td>
<td>
0.13250
</td>
<td>
0.154800
</td>
<td>
0.028540
</td>
<td>
0.2054
</td>
<td>
0.07669
</td>
<td>
0.2428
</td>
<td>
1.6420
</td>
<td>
2.3690
</td>
<td>
16.390
</td>
<td>
0.006663
</td>
<td>
0.059140
</td>
<td>
0.088800
</td>
<td>
0.013140
</td>
<td>
0.019950
</td>
<td>
0.008675
</td>
<td>
12.580
</td>
<td>
27.96
</td>
<td>
87.16
</td>
<td>
472.9
</td>
<td>
0.13470
</td>
<td>
0.48480
</td>
<td>
0.743600
</td>
<td>
0.121800
</td>
<td>
0.3308
</td>
<td>
0.12970
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
243
</th>
<td>
88411702
</td>
<td>
B
</td>
<td>
13.750
</td>
<td>
23.77
</td>
<td>
88.54
</td>
<td>
590.0
</td>
<td>
0.08043
</td>
<td>
0.06807
</td>
<td>
0.046970
</td>
<td>
0.023440
</td>
<td>
0.1773
</td>
<td>
0.05429
</td>
<td>
0.4347
</td>
<td>
1.0570
</td>
<td>
2.8290
</td>
<td>
39.930
</td>
<td>
0.004351
</td>
<td>
0.026670
</td>
<td>
0.033710
</td>
<td>
0.010070
</td>
<td>
0.025980
</td>
<td>
0.003087
</td>
<td>
15.010
</td>
<td>
26.34
</td>
<td>
98.00
</td>
<td>
706.0
</td>
<td>
0.09368
</td>
<td>
0.14420
</td>
<td>
0.135900
</td>
<td>
0.061060
</td>
<td>
0.2663
</td>
<td>
0.06321
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
244
</th>
<td>
884180
</td>
<td>
M
</td>
<td>
19.400
</td>
<td>
23.50
</td>
<td>
129.10
</td>
<td>
1155.0
</td>
<td>
0.10270
</td>
<td>
0.15580
</td>
<td>
0.204900
</td>
<td>
0.088860
</td>
<td>
0.1978
</td>
<td>
0.06000
</td>
<td>
0.5243
</td>
<td>
1.8020
</td>
<td>
4.0370
</td>
<td>
60.410
</td>
<td>
0.010610
</td>
<td>
0.032520
</td>
<td>
0.039150
</td>
<td>
0.015590
</td>
<td>
0.021860
</td>
<td>
0.003949
</td>
<td>
21.650
</td>
<td>
30.53
</td>
<td>
144.90
</td>
<td>
1417.0
</td>
<td>
0.14630
</td>
<td>
0.29680
</td>
<td>
0.345800
</td>
<td>
0.156400
</td>
<td>
0.2920
</td>
<td>
0.07614
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
245
</th>
<td>
884437
</td>
<td>
B
</td>
<td>
10.480
</td>
<td>
19.86
</td>
<td>
66.72
</td>
<td>
337.7
</td>
<td>
0.10700
</td>
<td>
0.05971
</td>
<td>
0.048310
</td>
<td>
0.030700
</td>
<td>
0.1737
</td>
<td>
0.06440
</td>
<td>
0.3719
</td>
<td>
2.6120
</td>
<td>
2.5170
</td>
<td>
23.220
</td>
<td>
0.016040
</td>
<td>
0.013860
</td>
<td>
0.018650
</td>
<td>
0.011330
</td>
<td>
0.034760
</td>
<td>
0.003560
</td>
<td>
11.480
</td>
<td>
29.46
</td>
<td>
73.68
</td>
<td>
402.8
</td>
<td>
0.15150
</td>
<td>
0.10260
</td>
<td>
0.118100
</td>
<td>
0.067360
</td>
<td>
0.2883
</td>
<td>
0.07748
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
246
</th>
<td>
884448
</td>
<td>
B
</td>
<td>
13.200
</td>
<td>
17.43
</td>
<td>
84.13
</td>
<td>
541.6
</td>
<td>
0.07215
</td>
<td>
0.04524
</td>
<td>
0.043360
</td>
<td>
0.011050
</td>
<td>
0.1487
</td>
<td>
0.05635
</td>
<td>
0.1630
</td>
<td>
1.6010
</td>
<td>
0.8730
</td>
<td>
13.560
</td>
<td>
0.006261
</td>
<td>
0.015690
</td>
<td>
0.030790
</td>
<td>
0.005383
</td>
<td>
0.019620
</td>
<td>
0.002250
</td>
<td>
13.940
</td>
<td>
27.82
</td>
<td>
88.28
</td>
<td>
602.0
</td>
<td>
0.11010
</td>
<td>
0.15080
</td>
<td>
0.229800
</td>
<td>
0.049700
</td>
<td>
0.2767
</td>
<td>
0.07198
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
247
</th>
<td>
884626
</td>
<td>
B
</td>
<td>
12.890
</td>
<td>
14.11
</td>
<td>
84.95
</td>
<td>
512.2
</td>
<td>
0.08760
</td>
<td>
0.13460
</td>
<td>
0.137400
</td>
<td>
0.039800
</td>
<td>
0.1596
</td>
<td>
0.06409
</td>
<td>
0.2025
</td>
<td>
0.4402
</td>
<td>
2.3930
</td>
<td>
16.350
</td>
<td>
0.005501
</td>
<td>
0.055920
</td>
<td>
0.081580
</td>
<td>
0.013700
</td>
<td>
0.012660
</td>
<td>
0.007555
</td>
<td>
14.390
</td>
<td>
17.70
</td>
<td>
105.00
</td>
<td>
639.1
</td>
<td>
0.12540
</td>
<td>
0.58490
</td>
<td>
0.772700
</td>
<td>
0.156100
</td>
<td>
0.2639
</td>
<td>
0.11780
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
248
</th>
<td>
88466802
</td>
<td>
B
</td>
<td>
10.650
</td>
<td>
25.22
</td>
<td>
68.01
</td>
<td>
347.0
</td>
<td>
0.09657
</td>
<td>
0.07234
</td>
<td>
0.023790
</td>
<td>
0.016150
</td>
<td>
0.1897
</td>
<td>
0.06329
</td>
<td>
0.2497
</td>
<td>
1.4930
</td>
<td>
1.4970
</td>
<td>
16.640
</td>
<td>
0.007189
</td>
<td>
0.010350
</td>
<td>
0.010810
</td>
<td>
0.006245
</td>
<td>
0.021580
</td>
<td>
0.002619
</td>
<td>
12.250
</td>
<td>
35.19
</td>
<td>
77.98
</td>
<td>
455.7
</td>
<td>
0.14990
</td>
<td>
0.13980
</td>
<td>
0.112500
</td>
<td>
0.061360
</td>
<td>
0.3409
</td>
<td>
0.08147
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
249
</th>
<td>
884689
</td>
<td>
B
</td>
<td>
11.520
</td>
<td>
14.93
</td>
<td>
73.87
</td>
<td>
406.3
</td>
<td>
0.10130
</td>
<td>
0.07808
</td>
<td>
0.043280
</td>
<td>
0.029290
</td>
<td>
0.1883
</td>
<td>
0.06168
</td>
<td>
0.2562
</td>
<td>
1.0380
</td>
<td>
1.6860
</td>
<td>
18.620
</td>
<td>
0.006662
</td>
<td>
0.012280
</td>
<td>
0.021050
</td>
<td>
0.010060
</td>
<td>
0.016770
</td>
<td>
0.002784
</td>
<td>
12.650
</td>
<td>
21.19
</td>
<td>
80.88
</td>
<td>
491.8
</td>
<td>
0.13890
</td>
<td>
0.15820
</td>
<td>
0.180400
</td>
<td>
0.096080
</td>
<td>
0.2664
</td>
<td>
0.07809
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
250
</th>
<td>
884948
</td>
<td>
M
</td>
<td>
20.940
</td>
<td>
23.56
</td>
<td>
138.90
</td>
<td>
1364.0
</td>
<td>
0.10070
</td>
<td>
0.16060
</td>
<td>
0.271200
</td>
<td>
0.131000
</td>
<td>
0.2205
</td>
<td>
0.05898
</td>
<td>
1.0040
</td>
<td>
0.8208
</td>
<td>
6.3720
</td>
<td>
137.900
</td>
<td>
0.005283
</td>
<td>
0.039080
</td>
<td>
0.095180
</td>
<td>
0.018640
</td>
<td>
0.024010
</td>
<td>
0.005002
</td>
<td>
25.580
</td>
<td>
27.00
</td>
<td>
165.30
</td>
<td>
2010.0
</td>
<td>
0.12110
</td>
<td>
0.31720
</td>
<td>
0.699100
</td>
<td>
0.210500
</td>
<td>
0.3126
</td>
<td>
0.07849
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
251
</th>
<td>
88518501
</td>
<td>
B
</td>
<td>
11.500
</td>
<td>
18.45
</td>
<td>
73.28
</td>
<td>
407.4
</td>
<td>
0.09345
</td>
<td>
0.05991
</td>
<td>
0.026380
</td>
<td>
0.020690
</td>
<td>
0.1834
</td>
<td>
0.05934
</td>
<td>
0.3927
</td>
<td>
0.8429
</td>
<td>
2.6840
</td>
<td>
26.990
</td>
<td>
0.006380
</td>
<td>
0.010650
</td>
<td>
0.012450
</td>
<td>
0.009175
</td>
<td>
0.022920
</td>
<td>
0.001461
</td>
<td>
12.970
</td>
<td>
22.46
</td>
<td>
83.12
</td>
<td>
508.9
</td>
<td>
0.11830
</td>
<td>
0.10490
</td>
<td>
0.081050
</td>
<td>
0.065440
</td>
<td>
0.2740
</td>
<td>
0.06487
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
252
</th>
<td>
885429
</td>
<td>
M
</td>
<td>
19.730
</td>
<td>
19.82
</td>
<td>
130.70
</td>
<td>
1206.0
</td>
<td>
0.10620
</td>
<td>
0.18490
</td>
<td>
0.241700
</td>
<td>
0.097400
</td>
<td>
0.1733
</td>
<td>
0.06697
</td>
<td>
0.7661
</td>
<td>
0.7800
</td>
<td>
4.1150
</td>
<td>
92.810
</td>
<td>
0.008482
</td>
<td>
0.050570
</td>
<td>
0.068000
</td>
<td>
0.019710
</td>
<td>
0.014670
</td>
<td>
0.007259
</td>
<td>
25.280
</td>
<td>
25.59
</td>
<td>
159.80
</td>
<td>
1933.0
</td>
<td>
0.17100
</td>
<td>
0.59550
</td>
<td>
0.848900
</td>
<td>
0.250700
</td>
<td>
0.2749
</td>
<td>
0.12970
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
253
</th>
<td>
8860702
</td>
<td>
M
</td>
<td>
17.300
</td>
<td>
17.08
</td>
<td>
113.00
</td>
<td>
928.2
</td>
<td>
0.10080
</td>
<td>
0.10410
</td>
<td>
0.126600
</td>
<td>
0.083530
</td>
<td>
0.1813
</td>
<td>
0.05613
</td>
<td>
0.3093
</td>
<td>
0.8568
</td>
<td>
2.1930
</td>
<td>
33.630
</td>
<td>
0.004757
</td>
<td>
0.015030
</td>
<td>
0.023320
</td>
<td>
0.012620
</td>
<td>
0.013940
</td>
<td>
0.002362
</td>
<td>
19.850
</td>
<td>
25.09
</td>
<td>
130.90
</td>
<td>
1222.0
</td>
<td>
0.14160
</td>
<td>
0.24050
</td>
<td>
0.337800
</td>
<td>
0.185700
</td>
<td>
0.3138
</td>
<td>
0.08113
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
254
</th>
<td>
886226
</td>
<td>
M
</td>
<td>
19.450
</td>
<td>
19.33
</td>
<td>
126.50
</td>
<td>
1169.0
</td>
<td>
0.10350
</td>
<td>
0.11880
</td>
<td>
0.137900
</td>
<td>
0.085910
</td>
<td>
0.1776
</td>
<td>
0.05647
</td>
<td>
0.5959
</td>
<td>
0.6342
</td>
<td>
3.7970
</td>
<td>
71.000
</td>
<td>
0.004649
</td>
<td>
0.018000
</td>
<td>
0.027490
</td>
<td>
0.012670
</td>
<td>
0.013650
</td>
<td>
0.002550
</td>
<td>
25.700
</td>
<td>
24.57
</td>
<td>
163.10
</td>
<td>
1972.0
</td>
<td>
0.14970
</td>
<td>
0.31610
</td>
<td>
0.431700
</td>
<td>
0.199900
</td>
<td>
0.3379
</td>
<td>
0.08950
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
255
</th>
<td>
886452
</td>
<td>
M
</td>
<td>
13.960
</td>
<td>
17.05
</td>
<td>
91.43
</td>
<td>
602.4
</td>
<td>
0.10960
</td>
<td>
0.12790
</td>
<td>
0.097890
</td>
<td>
0.052460
</td>
<td>
0.1908
</td>
<td>
0.06130
</td>
<td>
0.4250
</td>
<td>
0.8098
</td>
<td>
2.5630
</td>
<td>
35.740
</td>
<td>
0.006351
</td>
<td>
0.026790
</td>
<td>
0.031190
</td>
<td>
0.013420
</td>
<td>
0.020620
</td>
<td>
0.002695
</td>
<td>
16.390
</td>
<td>
22.07
</td>
<td>
108.10
</td>
<td>
826.0
</td>
<td>
0.15120
</td>
<td>
0.32620
</td>
<td>
0.320900
</td>
<td>
0.137400
</td>
<td>
0.3068
</td>
<td>
0.07957
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
256
</th>
<td>
88649001
</td>
<td>
M
</td>
<td>
19.550
</td>
<td>
28.77
</td>
<td>
133.60
</td>
<td>
1207.0
</td>
<td>
0.09260
</td>
<td>
0.20630
</td>
<td>
0.178400
</td>
<td>
0.114400
</td>
<td>
0.1893
</td>
<td>
0.06232
</td>
<td>
0.8426
</td>
<td>
1.1990
</td>
<td>
7.1580
</td>
<td>
106.400
</td>
<td>
0.006356
</td>
<td>
0.047650
</td>
<td>
0.038630
</td>
<td>
0.015190
</td>
<td>
0.019360
</td>
<td>
0.005252
</td>
<td>
25.050
</td>
<td>
36.27
</td>
<td>
178.60
</td>
<td>
1926.0
</td>
<td>
0.12810
</td>
<td>
0.53290
</td>
<td>
0.425100
</td>
<td>
0.194100
</td>
<td>
0.2818
</td>
<td>
0.10050
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
257
</th>
<td>
886776
</td>
<td>
M
</td>
<td>
15.320
</td>
<td>
17.27
</td>
<td>
103.20
</td>
<td>
713.3
</td>
<td>
0.13350
</td>
<td>
0.22840
</td>
<td>
0.244800
</td>
<td>
0.124200
</td>
<td>
0.2398
</td>
<td>
0.07596
</td>
<td>
0.6592
</td>
<td>
1.0590
</td>
<td>
4.0610
</td>
<td>
59.460
</td>
<td>
0.010150
</td>
<td>
0.045880
</td>
<td>
0.049830
</td>
<td>
0.021270
</td>
<td>
0.018840
</td>
<td>
0.008660
</td>
<td>
17.730
</td>
<td>
22.66
</td>
<td>
119.80
</td>
<td>
928.8
</td>
<td>
0.17650
</td>
<td>
0.45030
</td>
<td>
0.442900
</td>
<td>
0.222900
</td>
<td>
0.3258
</td>
<td>
0.11910
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
258
</th>
<td>
887181
</td>
<td>
M
</td>
<td>
15.660
</td>
<td>
23.20
</td>
<td>
110.20
</td>
<td>
773.5
</td>
<td>
0.11090
</td>
<td>
0.31140
</td>
<td>
0.317600
</td>
<td>
0.137700
</td>
<td>
0.2495
</td>
<td>
0.08104
</td>
<td>
1.2920
</td>
<td>
2.4540
</td>
<td>
10.1200
</td>
<td>
138.500
</td>
<td>
0.012360
</td>
<td>
0.059950
</td>
<td>
0.082320
</td>
<td>
0.030240
</td>
<td>
0.023370
</td>
<td>
0.006042
</td>
<td>
19.850
</td>
<td>
31.64
</td>
<td>
143.70
</td>
<td>
1226.0
</td>
<td>
0.15040
</td>
<td>
0.51720
</td>
<td>
0.618100
</td>
<td>
0.246200
</td>
<td>
0.3277
</td>
<td>
0.10190
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
259
</th>
<td>
88725602
</td>
<td>
M
</td>
<td>
15.530
</td>
<td>
33.56
</td>
<td>
103.70
</td>
<td>
744.9
</td>
<td>
0.10630
</td>
<td>
0.16390
</td>
<td>
0.175100
</td>
<td>
0.083990
</td>
<td>
0.2091
</td>
<td>
0.06650
</td>
<td>
0.2419
</td>
<td>
1.2780
</td>
<td>
1.9030
</td>
<td>
23.020
</td>
<td>
0.005345
</td>
<td>
0.025560
</td>
<td>
0.028890
</td>
<td>
0.010220
</td>
<td>
0.009947
</td>
<td>
0.003359
</td>
<td>
18.490
</td>
<td>
49.54
</td>
<td>
126.30
</td>
<td>
1035.0
</td>
<td>
0.18830
</td>
<td>
0.55640
</td>
<td>
0.570300
</td>
<td>
0.201400
</td>
<td>
0.3512
</td>
<td>
0.12040
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
260
</th>
<td>
887549
</td>
<td>
M
</td>
<td>
20.310
</td>
<td>
27.06
</td>
<td>
132.90
</td>
<td>
1288.0
</td>
<td>
0.10000
</td>
<td>
0.10880
</td>
<td>
0.151900
</td>
<td>
0.093330
</td>
<td>
0.1814
</td>
<td>
0.05572
</td>
<td>
0.3977
</td>
<td>
1.0330
</td>
<td>
2.5870
</td>
<td>
52.340
</td>
<td>
0.005043
</td>
<td>
0.015780
</td>
<td>
0.021170
</td>
<td>
0.008185
</td>
<td>
0.012820
</td>
<td>
0.001892
</td>
<td>
24.330
</td>
<td>
39.16
</td>
<td>
162.30
</td>
<td>
1844.0
</td>
<td>
0.15220
</td>
<td>
0.29450
</td>
<td>
0.378800
</td>
<td>
0.169700
</td>
<td>
0.3151
</td>
<td>
0.07999
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
261
</th>
<td>
888264
</td>
<td>
M
</td>
<td>
17.350
</td>
<td>
23.06
</td>
<td>
111.00
</td>
<td>
933.1
</td>
<td>
0.08662
</td>
<td>
0.06290
</td>
<td>
0.028910
</td>
<td>
0.028370
</td>
<td>
0.1564
</td>
<td>
0.05307
</td>
<td>
0.4007
</td>
<td>
1.3170
</td>
<td>
2.5770
</td>
<td>
44.410
</td>
<td>
0.005726
</td>
<td>
0.011060
</td>
<td>
0.012460
</td>
<td>
0.007671
</td>
<td>
0.014110
</td>
<td>
0.001578
</td>
<td>
19.850
</td>
<td>
31.47
</td>
<td>
128.20
</td>
<td>
1218.0
</td>
<td>
0.12400
</td>
<td>
0.14860
</td>
<td>
0.121100
</td>
<td>
0.082350
</td>
<td>
0.2452
</td>
<td>
0.06515
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
262
</th>
<td>
888570
</td>
<td>
M
</td>
<td>
17.290
</td>
<td>
22.13
</td>
<td>
114.40
</td>
<td>
947.8
</td>
<td>
0.08999
</td>
<td>
0.12730
</td>
<td>
0.096970
</td>
<td>
0.075070
</td>
<td>
0.2108
</td>
<td>
0.05464
</td>
<td>
0.8348
</td>
<td>
1.6330
</td>
<td>
6.1460
</td>
<td>
90.940
</td>
<td>
0.006717
</td>
<td>
0.059810
</td>
<td>
0.046380
</td>
<td>
0.021490
</td>
<td>
0.027470
</td>
<td>
0.005838
</td>
<td>
20.390
</td>
<td>
27.24
</td>
<td>
137.90
</td>
<td>
1295.0
</td>
<td>
0.11340
</td>
<td>
0.28670
</td>
<td>
0.229800
</td>
<td>
0.152800
</td>
<td>
0.3067
</td>
<td>
0.07484
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
263
</th>
<td>
889403
</td>
<td>
M
</td>
<td>
15.610
</td>
<td>
19.38
</td>
<td>
100.00
</td>
<td>
758.6
</td>
<td>
0.07840
</td>
<td>
0.05616
</td>
<td>
0.042090
</td>
<td>
0.028470
</td>
<td>
0.1547
</td>
<td>
0.05443
</td>
<td>
0.2298
</td>
<td>
0.9988
</td>
<td>
1.5340
</td>
<td>
22.180
</td>
<td>
0.002826
</td>
<td>
0.009105
</td>
<td>
0.013110
</td>
<td>
0.005174
</td>
<td>
0.010130
</td>
<td>
0.001345
</td>
<td>
17.910
</td>
<td>
31.67
</td>
<td>
115.90
</td>
<td>
988.6
</td>
<td>
0.10840
</td>
<td>
0.18070
</td>
<td>
0.226000
</td>
<td>
0.085680
</td>
<td>
0.2683
</td>
<td>
0.06829
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
264
</th>
<td>
889719
</td>
<td>
M
</td>
<td>
17.190
</td>
<td>
22.07
</td>
<td>
111.60
</td>
<td>
928.3
</td>
<td>
0.09726
</td>
<td>
0.08995
</td>
<td>
0.090610
</td>
<td>
0.065270
</td>
<td>
0.1867
</td>
<td>
0.05580
</td>
<td>
0.4203
</td>
<td>
0.7383
</td>
<td>
2.8190
</td>
<td>
45.420
</td>
<td>
0.004493
</td>
<td>
0.012060
</td>
<td>
0.020480
</td>
<td>
0.009875
</td>
<td>
0.011440
</td>
<td>
0.001575
</td>
<td>
21.580
</td>
<td>
29.33
</td>
<td>
140.50
</td>
<td>
1436.0
</td>
<td>
0.15580
</td>
<td>
0.25670
</td>
<td>
0.388900
</td>
<td>
0.198400
</td>
<td>
0.3216
</td>
<td>
0.07570
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
265
</th>
<td>
88995002
</td>
<td>
M
</td>
<td>
20.730
</td>
<td>
31.12
</td>
<td>
135.70
</td>
<td>
1419.0
</td>
<td>
0.09469
</td>
<td>
0.11430
</td>
<td>
0.136700
</td>
<td>
0.086460
</td>
<td>
0.1769
</td>
<td>
0.05674
</td>
<td>
1.1720
</td>
<td>
1.6170
</td>
<td>
7.7490
</td>
<td>
199.700
</td>
<td>
0.004551
</td>
<td>
0.014780
</td>
<td>
0.021430
</td>
<td>
0.009280
</td>
<td>
0.013670
</td>
<td>
0.002299
</td>
<td>
32.490
</td>
<td>
47.16
</td>
<td>
214.00
</td>
<td>
3432.0
</td>
<td>
0.14010
</td>
<td>
0.26440
</td>
<td>
0.344200
</td>
<td>
0.165900
</td>
<td>
0.2868
</td>
<td>
0.08218
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
266
</th>
<td>
8910251
</td>
<td>
B
</td>
<td>
10.600
</td>
<td>
18.95
</td>
<td>
69.28
</td>
<td>
346.4
</td>
<td>
0.09688
</td>
<td>
0.11470
</td>
<td>
0.063870
</td>
<td>
0.026420
</td>
<td>
0.1922
</td>
<td>
0.06491
</td>
<td>
0.4505
</td>
<td>
1.1970
</td>
<td>
3.4300
</td>
<td>
27.100
</td>
<td>
0.007470
</td>
<td>
0.035810
</td>
<td>
0.033540
</td>
<td>
0.013650
</td>
<td>
0.035040
</td>
<td>
0.003318
</td>
<td>
11.880
</td>
<td>
22.94
</td>
<td>
78.28
</td>
<td>
424.8
</td>
<td>
0.12130
</td>
<td>
0.25150
</td>
<td>
0.191600
</td>
<td>
0.079260
</td>
<td>
0.2940
</td>
<td>
0.07587
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
267
</th>
<td>
8910499
</td>
<td>
B
</td>
<td>
13.590
</td>
<td>
21.84
</td>
<td>
87.16
</td>
<td>
561.0
</td>
<td>
0.07956
</td>
<td>
0.08259
</td>
<td>
0.040720
</td>
<td>
0.021420
</td>
<td>
0.1635
</td>
<td>
0.05859
</td>
<td>
0.3380
</td>
<td>
1.9160
</td>
<td>
2.5910
</td>
<td>
26.760
</td>
<td>
0.005436
</td>
<td>
0.024060
</td>
<td>
0.030990
</td>
<td>
0.009919
</td>
<td>
0.020300
</td>
<td>
0.003009
</td>
<td>
14.800
</td>
<td>
30.04
</td>
<td>
97.66
</td>
<td>
661.5
</td>
<td>
0.10050
</td>
<td>
0.17300
</td>
<td>
0.145300
</td>
<td>
0.061890
</td>
<td>
0.2446
</td>
<td>
0.07024
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
268
</th>
<td>
8910506
</td>
<td>
B
</td>
<td>
12.870
</td>
<td>
16.21
</td>
<td>
82.38
</td>
<td>
512.2
</td>
<td>
0.09425
</td>
<td>
0.06219
</td>
<td>
0.039000
</td>
<td>
0.016150
</td>
<td>
0.2010
</td>
<td>
0.05769
</td>
<td>
0.2345
</td>
<td>
1.2190
</td>
<td>
1.5460
</td>
<td>
18.240
</td>
<td>
0.005518
</td>
<td>
0.021780
</td>
<td>
0.025890
</td>
<td>
0.006330
</td>
<td>
0.025930
</td>
<td>
0.002157
</td>
<td>
13.900
</td>
<td>
23.64
</td>
<td>
89.27
</td>
<td>
597.5
</td>
<td>
0.12560
</td>
<td>
0.18080
</td>
<td>
0.199200
</td>
<td>
0.057800
</td>
<td>
0.3604
</td>
<td>
0.07062
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
269
</th>
<td>
8910720
</td>
<td>
B
</td>
<td>
10.710
</td>
<td>
20.39
</td>
<td>
69.50
</td>
<td>
344.9
</td>
<td>
0.10820
</td>
<td>
0.12890
</td>
<td>
0.084480
</td>
<td>
0.028670
</td>
<td>
0.1668
</td>
<td>
0.06862
</td>
<td>
0.3198
</td>
<td>
1.4890
</td>
<td>
2.2300
</td>
<td>
20.740
</td>
<td>
0.008902
</td>
<td>
0.047850
</td>
<td>
0.073390
</td>
<td>
0.017450
</td>
<td>
0.027280
</td>
<td>
0.007610
</td>
<td>
11.690
</td>
<td>
25.21
</td>
<td>
76.51
</td>
<td>
410.4
</td>
<td>
0.13350
</td>
<td>
0.25500
</td>
<td>
0.253400
</td>
<td>
0.086000
</td>
<td>
0.2605
</td>
<td>
0.08701
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
270
</th>
<td>
8910721
</td>
<td>
B
</td>
<td>
14.290
</td>
<td>
16.82
</td>
<td>
90.30
</td>
<td>
632.6
</td>
<td>
0.06429
</td>
<td>
0.02675
</td>
<td>
0.007250
</td>
<td>
0.006250
</td>
<td>
0.1508
</td>
<td>
0.05376
</td>
<td>
0.1302
</td>
<td>
0.7198
</td>
<td>
0.8439
</td>
<td>
10.770
</td>
<td>
0.003492
</td>
<td>
0.003710
</td>
<td>
0.004826
</td>
<td>
0.003608
</td>
<td>
0.015360
</td>
<td>
0.001381
</td>
<td>
14.910
</td>
<td>
20.65
</td>
<td>
94.44
</td>
<td>
684.6
</td>
<td>
0.08567
</td>
<td>
0.05036
</td>
<td>
0.038660
</td>
<td>
0.033330
</td>
<td>
0.2458
</td>
<td>
0.06120
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
271
</th>
<td>
8910748
</td>
<td>
B
</td>
<td>
11.290
</td>
<td>
13.04
</td>
<td>
72.23
</td>
<td>
388.0
</td>
<td>
0.09834
</td>
<td>
0.07608
</td>
<td>
0.032650
</td>
<td>
0.027550
</td>
<td>
0.1769
</td>
<td>
0.06270
</td>
<td>
0.1904
</td>
<td>
0.5293
</td>
<td>
1.1640
</td>
<td>
13.170
</td>
<td>
0.006472
</td>
<td>
0.011220
</td>
<td>
0.012820
</td>
<td>
0.008849
</td>
<td>
0.016920
</td>
<td>
0.002817
</td>
<td>
12.320
</td>
<td>
16.18
</td>
<td>
78.27
</td>
<td>
457.5
</td>
<td>
0.13580
</td>
<td>
0.15070
</td>
<td>
0.127500
</td>
<td>
0.087500
</td>
<td>
0.2733
</td>
<td>
0.08022
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
272
</th>
<td>
8910988
</td>
<td>
M
</td>
<td>
21.750
</td>
<td>
20.99
</td>
<td>
147.30
</td>
<td>
1491.0
</td>
<td>
0.09401
</td>
<td>
0.19610
</td>
<td>
0.219500
</td>
<td>
0.108800
</td>
<td>
0.1721
</td>
<td>
0.06194
</td>
<td>
1.1670
</td>
<td>
1.3520
</td>
<td>
8.8670
</td>
<td>
156.800
</td>
<td>
0.005687
</td>
<td>
0.049600
</td>
<td>
0.063290
</td>
<td>
0.015610
</td>
<td>
0.019240
</td>
<td>
0.004614
</td>
<td>
28.190
</td>
<td>
28.18
</td>
<td>
195.90
</td>
<td>
2384.0
</td>
<td>
0.12720
</td>
<td>
0.47250
</td>
<td>
0.580700
</td>
<td>
0.184100
</td>
<td>
0.2833
</td>
<td>
0.08858
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
273
</th>
<td>
8910996
</td>
<td>
B
</td>
<td>
9.742
</td>
<td>
15.67
</td>
<td>
61.50
</td>
<td>
289.9
</td>
<td>
0.09037
</td>
<td>
0.04689
</td>
<td>
0.011030
</td>
<td>
0.014070
</td>
<td>
0.2081
</td>
<td>
0.06312
</td>
<td>
0.2684
</td>
<td>
1.4090
</td>
<td>
1.7500
</td>
<td>
16.390
</td>
<td>
0.013800
</td>
<td>
0.010670
</td>
<td>
0.008347
</td>
<td>
0.009472
</td>
<td>
0.017980
</td>
<td>
0.004261
</td>
<td>
10.750
</td>
<td>
20.88
</td>
<td>
68.09
</td>
<td>
355.2
</td>
<td>
0.14670
</td>
<td>
0.09370
</td>
<td>
0.040430
</td>
<td>
0.051590
</td>
<td>
0.2841
</td>
<td>
0.08175
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
274
</th>
<td>
8911163
</td>
<td>
M
</td>
<td>
17.930
</td>
<td>
24.48
</td>
<td>
115.20
</td>
<td>
998.9
</td>
<td>
0.08855
</td>
<td>
0.07027
</td>
<td>
0.056990
</td>
<td>
0.047440
</td>
<td>
0.1538
</td>
<td>
0.05510
</td>
<td>
0.4212
</td>
<td>
1.4330
</td>
<td>
2.7650
</td>
<td>
45.810
</td>
<td>
0.005444
</td>
<td>
0.011690
</td>
<td>
0.016220
</td>
<td>
0.008522
</td>
<td>
0.014190
</td>
<td>
0.002751
</td>
<td>
20.920
</td>
<td>
34.69
</td>
<td>
135.10
</td>
<td>
1320.0
</td>
<td>
0.13150
</td>
<td>
0.18060
</td>
<td>
0.208000
</td>
<td>
0.113600
</td>
<td>
0.2504
</td>
<td>
0.07948
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
275
</th>
<td>
8911164
</td>
<td>
B
</td>
<td>
11.890
</td>
<td>
17.36
</td>
<td>
76.20
</td>
<td>
435.6
</td>
<td>
0.12250
</td>
<td>
0.07210
</td>
<td>
0.059290
</td>
<td>
0.074040
</td>
<td>
0.2015
</td>
<td>
0.05875
</td>
<td>
0.6412
</td>
<td>
2.2930
</td>
<td>
4.0210
</td>
<td>
48.840
</td>
<td>
0.014180
</td>
<td>
0.014890
</td>
<td>
0.012670
</td>
<td>
0.019100
</td>
<td>
0.026780
</td>
<td>
0.003002
</td>
<td>
12.400
</td>
<td>
18.99
</td>
<td>
79.46
</td>
<td>
472.4
</td>
<td>
0.13590
</td>
<td>
0.08368
</td>
<td>
0.071530
</td>
<td>
0.089460
</td>
<td>
0.2220
</td>
<td>
0.06033
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
276
</th>
<td>
8911230
</td>
<td>
B
</td>
<td>
11.330
</td>
<td>
14.16
</td>
<td>
71.79
</td>
<td>
396.6
</td>
<td>
0.09379
</td>
<td>
0.03872
</td>
<td>
0.001487
</td>
<td>
0.003333
</td>
<td>
0.1954
</td>
<td>
0.05821
</td>
<td>
0.2375
</td>
<td>
1.2800
</td>
<td>
1.5650
</td>
<td>
17.090
</td>
<td>
0.008426
</td>
<td>
0.008998
</td>
<td>
0.001487
</td>
<td>
0.003333
</td>
<td>
0.023580
</td>
<td>
0.001627
</td>
<td>
12.200
</td>
<td>
18.99
</td>
<td>
77.37
</td>
<td>
458.0
</td>
<td>
0.12590
</td>
<td>
0.07348
</td>
<td>
0.004955
</td>
<td>
0.011110
</td>
<td>
0.2758
</td>
<td>
0.06386
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
277
</th>
<td>
8911670
</td>
<td>
M
</td>
<td>
18.810
</td>
<td>
19.98
</td>
<td>
120.90
</td>
<td>
1102.0
</td>
<td>
0.08923
</td>
<td>
0.05884
</td>
<td>
0.080200
</td>
<td>
0.058430
</td>
<td>
0.1550
</td>
<td>
0.04996
</td>
<td>
0.3283
</td>
<td>
0.8280
</td>
<td>
2.3630
</td>
<td>
36.740
</td>
<td>
0.007571
</td>
<td>
0.011140
</td>
<td>
0.026230
</td>
<td>
0.014630
</td>
<td>
0.019300
</td>
<td>
0.001676
</td>
<td>
19.960
</td>
<td>
24.30
</td>
<td>
129.00
</td>
<td>
1236.0
</td>
<td>
0.12430
</td>
<td>
0.11600
</td>
<td>
0.221000
</td>
<td>
0.129400
</td>
<td>
0.2567
</td>
<td>
0.05737
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
278
</th>
<td>
8911800
</td>
<td>
B
</td>
<td>
13.590
</td>
<td>
17.84
</td>
<td>
86.24
</td>
<td>
572.3
</td>
<td>
0.07948
</td>
<td>
0.04052
</td>
<td>
0.019970
</td>
<td>
0.012380
</td>
<td>
0.1573
</td>
<td>
0.05520
</td>
<td>
0.2580
</td>
<td>
1.1660
</td>
<td>
1.6830
</td>
<td>
22.220
</td>
<td>
0.003741
</td>
<td>
0.005274
</td>
<td>
0.010650
</td>
<td>
0.005044
</td>
<td>
0.013440
</td>
<td>
0.001126
</td>
<td>
15.500
</td>
<td>
26.10
</td>
<td>
98.91
</td>
<td>
739.1
</td>
<td>
0.10500
</td>
<td>
0.07622
</td>
<td>
0.106000
</td>
<td>
0.051850
</td>
<td>
0.2335
</td>
<td>
0.06263
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
279
</th>
<td>
8911834
</td>
<td>
B
</td>
<td>
13.850
</td>
<td>
15.18
</td>
<td>
88.99
</td>
<td>
587.4
</td>
<td>
0.09516
</td>
<td>
0.07688
</td>
<td>
0.044790
</td>
<td>
0.037110
</td>
<td>
0.2110
</td>
<td>
0.05853
</td>
<td>
0.2479
</td>
<td>
0.9195
</td>
<td>
1.8300
</td>
<td>
19.410
</td>
<td>
0.004235
</td>
<td>
0.015410
</td>
<td>
0.014570
</td>
<td>
0.010430
</td>
<td>
0.015280
</td>
<td>
0.001593
</td>
<td>
14.980
</td>
<td>
21.74
</td>
<td>
98.37
</td>
<td>
670.0
</td>
<td>
0.11850
</td>
<td>
0.17240
</td>
<td>
0.145600
</td>
<td>
0.099930
</td>
<td>
0.2955
</td>
<td>
0.06912
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
280
</th>
<td>
8912049
</td>
<td>
M
</td>
<td>
19.160
</td>
<td>
26.60
</td>
<td>
126.20
</td>
<td>
1138.0
</td>
<td>
0.10200
</td>
<td>
0.14530
</td>
<td>
0.192100
</td>
<td>
0.096640
</td>
<td>
0.1902
</td>
<td>
0.06220
</td>
<td>
0.6361
</td>
<td>
1.0010
</td>
<td>
4.3210
</td>
<td>
69.650
</td>
<td>
0.007392
</td>
<td>
0.024490
</td>
<td>
0.039880
</td>
<td>
0.012930
</td>
<td>
0.014350
</td>
<td>
0.003446
</td>
<td>
23.720
</td>
<td>
35.90
</td>
<td>
159.80
</td>
<td>
1724.0
</td>
<td>
0.17820
</td>
<td>
0.38410
</td>
<td>
0.575400
</td>
<td>
0.187200
</td>
<td>
0.3258
</td>
<td>
0.09720
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
281
</th>
<td>
8912055
</td>
<td>
B
</td>
<td>
11.740
</td>
<td>
14.02
</td>
<td>
74.24
</td>
<td>
427.3
</td>
<td>
0.07813
</td>
<td>
0.04340
</td>
<td>
0.022450
</td>
<td>
0.027630
</td>
<td>
0.2101
</td>
<td>
0.06113
</td>
<td>
0.5619
</td>
<td>
1.2680
</td>
<td>
3.7170
</td>
<td>
37.830
</td>
<td>
0.008034
</td>
<td>
0.014420
</td>
<td>
0.015140
</td>
<td>
0.018460
</td>
<td>
0.029210
</td>
<td>
0.002005
</td>
<td>
13.310
</td>
<td>
18.26
</td>
<td>
84.70
</td>
<td>
533.7
</td>
<td>
0.10360
</td>
<td>
0.08500
</td>
<td>
0.067350
</td>
<td>
0.082900
</td>
<td>
0.3101
</td>
<td>
0.06688
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
282
</th>
<td>
89122
</td>
<td>
M
</td>
<td>
19.400
</td>
<td>
18.18
</td>
<td>
127.20
</td>
<td>
1145.0
</td>
<td>
0.10370
</td>
<td>
0.14420
</td>
<td>
0.162600
</td>
<td>
0.094640
</td>
<td>
0.1893
</td>
<td>
0.05892
</td>
<td>
0.4709
</td>
<td>
0.9951
</td>
<td>
2.9030
</td>
<td>
53.160
</td>
<td>
0.005654
</td>
<td>
0.021990
</td>
<td>
0.030590
</td>
<td>
0.014990
</td>
<td>
0.016230
</td>
<td>
0.001965
</td>
<td>
23.790
</td>
<td>
28.65
</td>
<td>
152.40
</td>
<td>
1628.0
</td>
<td>
0.15180
</td>
<td>
0.37490
</td>
<td>
0.431600
</td>
<td>
0.225200
</td>
<td>
0.3590
</td>
<td>
0.07787
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
283
</th>
<td>
8912280
</td>
<td>
M
</td>
<td>
16.240
</td>
<td>
18.77
</td>
<td>
108.80
</td>
<td>
805.1
</td>
<td>
0.10660
</td>
<td>
0.18020
</td>
<td>
0.194800
</td>
<td>
0.090520
</td>
<td>
0.1876
</td>
<td>
0.06684
</td>
<td>
0.2873
</td>
<td>
0.9173
</td>
<td>
2.4640
</td>
<td>
28.090
</td>
<td>
0.004563
</td>
<td>
0.034810
</td>
<td>
0.038720
</td>
<td>
0.012090
</td>
<td>
0.013880
</td>
<td>
0.004081
</td>
<td>
18.550
</td>
<td>
25.09
</td>
<td>
126.90
</td>
<td>
1031.0
</td>
<td>
0.13650
</td>
<td>
0.47060
</td>
<td>
0.502600
</td>
<td>
0.173200
</td>
<td>
0.2770
</td>
<td>
0.10630
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
284
</th>
<td>
8912284
</td>
<td>
B
</td>
<td>
12.890
</td>
<td>
15.70
</td>
<td>
84.08
</td>
<td>
516.6
</td>
<td>
0.07818
</td>
<td>
0.09580
</td>
<td>
0.111500
</td>
<td>
0.033900
</td>
<td>
0.1432
</td>
<td>
0.05935
</td>
<td>
0.2913
</td>
<td>
1.3890
</td>
<td>
2.3470
</td>
<td>
23.290
</td>
<td>
0.006418
</td>
<td>
0.039610
</td>
<td>
0.079270
</td>
<td>
0.017740
</td>
<td>
0.018780
</td>
<td>
0.003696
</td>
<td>
13.900
</td>
<td>
19.69
</td>
<td>
92.12
</td>
<td>
595.6
</td>
<td>
0.09926
</td>
<td>
0.23170
</td>
<td>
0.334400
</td>
<td>
0.101700
</td>
<td>
0.1999
</td>
<td>
0.07127
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
285
</th>
<td>
8912521
</td>
<td>
B
</td>
<td>
12.580
</td>
<td>
18.40
</td>
<td>
79.83
</td>
<td>
489.0
</td>
<td>
0.08393
</td>
<td>
0.04216
</td>
<td>
0.001860
</td>
<td>
0.002924
</td>
<td>
0.1697
</td>
<td>
0.05855
</td>
<td>
0.2719
</td>
<td>
1.3500
</td>
<td>
1.7210
</td>
<td>
22.450
</td>
<td>
0.006383
</td>
<td>
0.008008
</td>
<td>
0.001860
</td>
<td>
0.002924
</td>
<td>
0.025710
</td>
<td>
0.002015
</td>
<td>
13.500
</td>
<td>
23.08
</td>
<td>
85.56
</td>
<td>
564.1
</td>
<td>
0.10380
</td>
<td>
0.06624
</td>
<td>
0.005579
</td>
<td>
0.008772
</td>
<td>
0.2505
</td>
<td>
0.06431
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
286
</th>
<td>
8912909
</td>
<td>
B
</td>
<td>
11.940
</td>
<td>
20.76
</td>
<td>
77.87
</td>
<td>
441.0
</td>
<td>
0.08605
</td>
<td>
0.10110
</td>
<td>
0.065740
</td>
<td>
0.037910
</td>
<td>
0.1588
</td>
<td>
0.06766
</td>
<td>
0.2742
</td>
<td>
1.3900
</td>
<td>
3.1980
</td>
<td>
21.910
</td>
<td>
0.006719
</td>
<td>
0.051560
</td>
<td>
0.043870
</td>
<td>
0.016330
</td>
<td>
0.018720
</td>
<td>
0.008015
</td>
<td>
13.240
</td>
<td>
27.29
</td>
<td>
92.20
</td>
<td>
546.1
</td>
<td>
0.11160
</td>
<td>
0.28130
</td>
<td>
0.236500
</td>
<td>
0.115500
</td>
<td>
0.2465
</td>
<td>
0.09981
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
287
</th>
<td>
8913
</td>
<td>
B
</td>
<td>
12.890
</td>
<td>
13.12
</td>
<td>
81.89
</td>
<td>
515.9
</td>
<td>
0.06955
</td>
<td>
0.03729
</td>
<td>
0.022600
</td>
<td>
0.011710
</td>
<td>
0.1337
</td>
<td>
0.05581
</td>
<td>
0.1532
</td>
<td>
0.4690
</td>
<td>
1.1150
</td>
<td>
12.680
</td>
<td>
0.004731
</td>
<td>
0.013450
</td>
<td>
0.016520
</td>
<td>
0.005905
</td>
<td>
0.016190
</td>
<td>
0.002081
</td>
<td>
13.620
</td>
<td>
15.54
</td>
<td>
87.40
</td>
<td>
577.0
</td>
<td>
0.09616
</td>
<td>
0.11470
</td>
<td>
0.118600
</td>
<td>
0.053660
</td>
<td>
0.2309
</td>
<td>
0.06915
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
288
</th>
<td>
8913049
</td>
<td>
B
</td>
<td>
11.260
</td>
<td>
19.96
</td>
<td>
73.72
</td>
<td>
394.1
</td>
<td>
0.08020
</td>
<td>
0.11810
</td>
<td>
0.092740
</td>
<td>
0.055880
</td>
<td>
0.2595
</td>
<td>
0.06233
</td>
<td>
0.4866
</td>
<td>
1.9050
</td>
<td>
2.8770
</td>
<td>
34.680
</td>
<td>
0.015740
</td>
<td>
0.082620
</td>
<td>
0.080990
</td>
<td>
0.034870
</td>
<td>
0.034180
</td>
<td>
0.006517
</td>
<td>
11.860
</td>
<td>
22.33
</td>
<td>
78.27
</td>
<td>
437.6
</td>
<td>
0.10280
</td>
<td>
0.18430
</td>
<td>
0.154600
</td>
<td>
0.093140
</td>
<td>
0.2955
</td>
<td>
0.07009
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
289
</th>
<td>
89143601
</td>
<td>
B
</td>
<td>
11.370
</td>
<td>
18.89
</td>
<td>
72.17
</td>
<td>
396.0
</td>
<td>
0.08713
</td>
<td>
0.05008
</td>
<td>
0.023990
</td>
<td>
0.021730
</td>
<td>
0.2013
</td>
<td>
0.05955
</td>
<td>
0.2656
</td>
<td>
1.9740
</td>
<td>
1.9540
</td>
<td>
17.490
</td>
<td>
0.006538
</td>
<td>
0.013950
</td>
<td>
0.013760
</td>
<td>
0.009924
</td>
<td>
0.034160
</td>
<td>
0.002928
</td>
<td>
12.360
</td>
<td>
26.14
</td>
<td>
79.29
</td>
<td>
459.3
</td>
<td>
0.11180
</td>
<td>
0.09708
</td>
<td>
0.075290
</td>
<td>
0.062030
</td>
<td>
0.3267
</td>
<td>
0.06994
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
290
</th>
<td>
89143602
</td>
<td>
B
</td>
<td>
14.410
</td>
<td>
19.73
</td>
<td>
96.03
</td>
<td>
651.0
</td>
<td>
0.08757
</td>
<td>
0.16760
</td>
<td>
0.136200
</td>
<td>
0.066020
</td>
<td>
0.1714
</td>
<td>
0.07192
</td>
<td>
0.8811
</td>
<td>
1.7700
</td>
<td>
4.3600
</td>
<td>
77.110
</td>
<td>
0.007762
</td>
<td>
0.106400
</td>
<td>
0.099600
</td>
<td>
0.027710
</td>
<td>
0.040770
</td>
<td>
0.022860
</td>
<td>
15.770
</td>
<td>
22.13
</td>
<td>
101.70
</td>
<td>
767.3
</td>
<td>
0.09983
</td>
<td>
0.24720
</td>
<td>
0.222000
</td>
<td>
0.102100
</td>
<td>
0.2272
</td>
<td>
0.08799
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
291
</th>
<td>
8915
</td>
<td>
B
</td>
<td>
14.960
</td>
<td>
19.10
</td>
<td>
97.03
</td>
<td>
687.3
</td>
<td>
0.08992
</td>
<td>
0.09823
</td>
<td>
0.059400
</td>
<td>
0.048190
</td>
<td>
0.1879
</td>
<td>
0.05852
</td>
<td>
0.2877
</td>
<td>
0.9480
</td>
<td>
2.1710
</td>
<td>
24.870
</td>
<td>
0.005332
</td>
<td>
0.021150
</td>
<td>
0.015360
</td>
<td>
0.011870
</td>
<td>
0.015220
</td>
<td>
0.002815
</td>
<td>
16.250
</td>
<td>
26.19
</td>
<td>
109.10
</td>
<td>
809.8
</td>
<td>
0.13130
</td>
<td>
0.30300
</td>
<td>
0.180400
</td>
<td>
0.148900
</td>
<td>
0.2962
</td>
<td>
0.08472
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
292
</th>
<td>
891670
</td>
<td>
B
</td>
<td>
12.950
</td>
<td>
16.02
</td>
<td>
83.14
</td>
<td>
513.7
</td>
<td>
0.10050
</td>
<td>
0.07943
</td>
<td>
0.061550
</td>
<td>
0.033700
</td>
<td>
0.1730
</td>
<td>
0.06470
</td>
<td>
0.2094
</td>
<td>
0.7636
</td>
<td>
1.2310
</td>
<td>
17.670
</td>
<td>
0.008725
</td>
<td>
0.020030
</td>
<td>
0.023350
</td>
<td>
0.011320
</td>
<td>
0.026250
</td>
<td>
0.004726
</td>
<td>
13.740
</td>
<td>
19.93
</td>
<td>
88.81
</td>
<td>
585.4
</td>
<td>
0.14830
</td>
<td>
0.20680
</td>
<td>
0.224100
</td>
<td>
0.105600
</td>
<td>
0.3380
</td>
<td>
0.09584
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
293
</th>
<td>
891703
</td>
<td>
B
</td>
<td>
11.850
</td>
<td>
17.46
</td>
<td>
75.54
</td>
<td>
432.7
</td>
<td>
0.08372
</td>
<td>
0.05642
</td>
<td>
0.026880
</td>
<td>
0.022800
</td>
<td>
0.1875
</td>
<td>
0.05715
</td>
<td>
0.2070
</td>
<td>
1.2380
</td>
<td>
1.2340
</td>
<td>
13.880
</td>
<td>
0.007595
</td>
<td>
0.015000
</td>
<td>
0.014120
</td>
<td>
0.008578
</td>
<td>
0.017920
</td>
<td>
0.001784
</td>
<td>
13.060
</td>
<td>
25.75
</td>
<td>
84.35
</td>
<td>
517.8
</td>
<td>
0.13690
</td>
<td>
0.17580
</td>
<td>
0.131600
</td>
<td>
0.091400
</td>
<td>
0.3101
</td>
<td>
0.07007
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
294
</th>
<td>
891716
</td>
<td>
B
</td>
<td>
12.720
</td>
<td>
13.78
</td>
<td>
81.78
</td>
<td>
492.1
</td>
<td>
0.09667
</td>
<td>
0.08393
</td>
<td>
0.012880
</td>
<td>
0.019240
</td>
<td>
0.1638
</td>
<td>
0.06100
</td>
<td>
0.1807
</td>
<td>
0.6931
</td>
<td>
1.3400
</td>
<td>
13.380
</td>
<td>
0.006064
</td>
<td>
0.011800
</td>
<td>
0.006564
</td>
<td>
0.007978
</td>
<td>
0.013740
</td>
<td>
0.001392
</td>
<td>
13.500
</td>
<td>
17.48
</td>
<td>
88.54
</td>
<td>
553.7
</td>
<td>
0.12980
</td>
<td>
0.14720
</td>
<td>
0.052330
</td>
<td>
0.063430
</td>
<td>
0.2369
</td>
<td>
0.06922
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
295
</th>
<td>
891923
</td>
<td>
B
</td>
<td>
13.770
</td>
<td>
13.27
</td>
<td>
88.06
</td>
<td>
582.7
</td>
<td>
0.09198
</td>
<td>
0.06221
</td>
<td>
0.010630
</td>
<td>
0.019170
</td>
<td>
0.1592
</td>
<td>
0.05912
</td>
<td>
0.2191
</td>
<td>
0.6946
</td>
<td>
1.4790
</td>
<td>
17.740
</td>
<td>
0.004348
</td>
<td>
0.008153
</td>
<td>
0.004272
</td>
<td>
0.006829
</td>
<td>
0.021540
</td>
<td>
0.001802
</td>
<td>
14.670
</td>
<td>
16.93
</td>
<td>
94.17
</td>
<td>
661.1
</td>
<td>
0.11700
</td>
<td>
0.10720
</td>
<td>
0.037320
</td>
<td>
0.058020
</td>
<td>
0.2823
</td>
<td>
0.06794
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
296
</th>
<td>
891936
</td>
<td>
B
</td>
<td>
10.910
</td>
<td>
12.35
</td>
<td>
69.14
</td>
<td>
363.7
</td>
<td>
0.08518
</td>
<td>
0.04721
</td>
<td>
0.012360
</td>
<td>
0.013690
</td>
<td>
0.1449
</td>
<td>
0.06031
</td>
<td>
0.1753
</td>
<td>
1.0270
</td>
<td>
1.2670
</td>
<td>
11.090
</td>
<td>
0.003478
</td>
<td>
0.012210
</td>
<td>
0.010720
</td>
<td>
0.009393
</td>
<td>
0.029410
</td>
<td>
0.003428
</td>
<td>
11.370
</td>
<td>
14.82
</td>
<td>
72.42
</td>
<td>
392.2
</td>
<td>
0.09312
</td>
<td>
0.07506
</td>
<td>
0.028840
</td>
<td>
0.031940
</td>
<td>
0.2143
</td>
<td>
0.06643
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
297
</th>
<td>
892189
</td>
<td>
M
</td>
<td>
11.760
</td>
<td>
18.14
</td>
<td>
75.00
</td>
<td>
431.1
</td>
<td>
0.09968
</td>
<td>
0.05914
</td>
<td>
0.026850
</td>
<td>
0.035150
</td>
<td>
0.1619
</td>
<td>
0.06287
</td>
<td>
0.6450
</td>
<td>
2.1050
</td>
<td>
4.1380
</td>
<td>
49.110
</td>
<td>
0.005596
</td>
<td>
0.010050
</td>
<td>
0.012720
</td>
<td>
0.014320
</td>
<td>
0.015750
</td>
<td>
0.002758
</td>
<td>
13.360
</td>
<td>
23.39
</td>
<td>
85.10
</td>
<td>
553.6
</td>
<td>
0.11370
</td>
<td>
0.07974
</td>
<td>
0.061200
</td>
<td>
0.071600
</td>
<td>
0.1978
</td>
<td>
0.06915
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
298
</th>
<td>
892214
</td>
<td>
B
</td>
<td>
14.260
</td>
<td>
18.17
</td>
<td>
91.22
</td>
<td>
633.1
</td>
<td>
0.06576
</td>
<td>
0.05220
</td>
<td>
0.024750
</td>
<td>
0.013740
</td>
<td>
0.1635
</td>
<td>
0.05586
</td>
<td>
0.2300
</td>
<td>
0.6690
</td>
<td>
1.6610
</td>
<td>
20.560
</td>
<td>
0.003169
</td>
<td>
0.013770
</td>
<td>
0.010790
</td>
<td>
0.005243
</td>
<td>
0.011030
</td>
<td>
0.001957
</td>
<td>
16.220
</td>
<td>
25.26
</td>
<td>
105.80
</td>
<td>
819.7
</td>
<td>
0.09445
</td>
<td>
0.21670
</td>
<td>
0.156500
</td>
<td>
0.075300
</td>
<td>
0.2636
</td>
<td>
0.07676
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
299
</th>
<td>
892399
</td>
<td>
B
</td>
<td>
10.510
</td>
<td>
23.09
</td>
<td>
66.85
</td>
<td>
334.2
</td>
<td>
0.10150
</td>
<td>
0.06797
</td>
<td>
0.024950
</td>
<td>
0.018750
</td>
<td>
0.1695
</td>
<td>
0.06556
</td>
<td>
0.2868
</td>
<td>
1.1430
</td>
<td>
2.2890
</td>
<td>
20.560
</td>
<td>
0.010170
</td>
<td>
0.014430
</td>
<td>
0.018610
</td>
<td>
0.012500
</td>
<td>
0.034640
</td>
<td>
0.001971
</td>
<td>
10.930
</td>
<td>
24.22
</td>
<td>
70.10
</td>
<td>
362.7
</td>
<td>
0.11430
</td>
<td>
0.08614
</td>
<td>
0.041580
</td>
<td>
0.031250
</td>
<td>
0.2227
</td>
<td>
0.06777
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
300
</th>
<td>
892438
</td>
<td>
M
</td>
<td>
19.530
</td>
<td>
18.90
</td>
<td>
129.50
</td>
<td>
1217.0
</td>
<td>
0.11500
</td>
<td>
0.16420
</td>
<td>
0.219700
</td>
<td>
0.106200
</td>
<td>
0.1792
</td>
<td>
0.06552
</td>
<td>
1.1110
</td>
<td>
1.1610
</td>
<td>
7.2370
</td>
<td>
133.000
</td>
<td>
0.006056
</td>
<td>
0.032030
</td>
<td>
0.056380
</td>
<td>
0.017330
</td>
<td>
0.018840
</td>
<td>
0.004787
</td>
<td>
25.930
</td>
<td>
26.24
</td>
<td>
171.10
</td>
<td>
2053.0
</td>
<td>
0.14950
</td>
<td>
0.41160
</td>
<td>
0.612100
</td>
<td>
0.198000
</td>
<td>
0.2968
</td>
<td>
0.09929
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
301
</th>
<td>
892604
</td>
<td>
B
</td>
<td>
12.460
</td>
<td>
19.89
</td>
<td>
80.43
</td>
<td>
471.3
</td>
<td>
0.08451
</td>
<td>
0.10140
</td>
<td>
0.068300
</td>
<td>
0.030990
</td>
<td>
0.1781
</td>
<td>
0.06249
</td>
<td>
0.3642
</td>
<td>
1.0400
</td>
<td>
2.5790
</td>
<td>
28.320
</td>
<td>
0.006530
</td>
<td>
0.033690
</td>
<td>
0.047120
</td>
<td>
0.014030
</td>
<td>
0.027400
</td>
<td>
0.004651
</td>
<td>
13.460
</td>
<td>
23.07
</td>
<td>
88.13
</td>
<td>
551.3
</td>
<td>
0.10500
</td>
<td>
0.21580
</td>
<td>
0.190400
</td>
<td>
0.076250
</td>
<td>
0.2685
</td>
<td>
0.07764
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
302
</th>
<td>
89263202
</td>
<td>
M
</td>
<td>
20.090
</td>
<td>
23.86
</td>
<td>
134.70
</td>
<td>
1247.0
</td>
<td>
0.10800
</td>
<td>
0.18380
</td>
<td>
0.228300
</td>
<td>
0.128000
</td>
<td>
0.2249
</td>
<td>
0.07469
</td>
<td>
1.0720
</td>
<td>
1.7430
</td>
<td>
7.8040
</td>
<td>
130.800
</td>
<td>
0.007964
</td>
<td>
0.047320
</td>
<td>
0.076490
</td>
<td>
0.019360
</td>
<td>
0.027360
</td>
<td>
0.005928
</td>
<td>
23.680
</td>
<td>
29.43
</td>
<td>
158.80
</td>
<td>
1696.0
</td>
<td>
0.13470
</td>
<td>
0.33910
</td>
<td>
0.493200
</td>
<td>
0.192300
</td>
<td>
0.3294
</td>
<td>
0.09469
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
303
</th>
<td>
892657
</td>
<td>
B
</td>
<td>
10.490
</td>
<td>
18.61
</td>
<td>
66.86
</td>
<td>
334.3
</td>
<td>
0.10680
</td>
<td>
0.06678
</td>
<td>
0.022970
</td>
<td>
0.017800
</td>
<td>
0.1482
</td>
<td>
0.06600
</td>
<td>
0.1485
</td>
<td>
1.5630
</td>
<td>
1.0350
</td>
<td>
10.080
</td>
<td>
0.008875
</td>
<td>
0.009362
</td>
<td>
0.018080
</td>
<td>
0.009199
</td>
<td>
0.017910
</td>
<td>
0.003317
</td>
<td>
11.060
</td>
<td>
24.54
</td>
<td>
70.76
</td>
<td>
375.4
</td>
<td>
0.14130
</td>
<td>
0.10440
</td>
<td>
0.084230
</td>
<td>
0.065280
</td>
<td>
0.2213
</td>
<td>
0.07842
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
304
</th>
<td>
89296
</td>
<td>
B
</td>
<td>
11.460
</td>
<td>
18.16
</td>
<td>
73.59
</td>
<td>
403.1
</td>
<td>
0.08853
</td>
<td>
0.07694
</td>
<td>
0.033440
</td>
<td>
0.015020
</td>
<td>
0.1411
</td>
<td>
0.06243
</td>
<td>
0.3278
</td>
<td>
1.0590
</td>
<td>
2.4750
</td>
<td>
22.930
</td>
<td>
0.006652
</td>
<td>
0.026520
</td>
<td>
0.022210
</td>
<td>
0.007807
</td>
<td>
0.018940
</td>
<td>
0.003411
</td>
<td>
12.680
</td>
<td>
21.61
</td>
<td>
82.69
</td>
<td>
489.8
</td>
<td>
0.11440
</td>
<td>
0.17890
</td>
<td>
0.122600
</td>
<td>
0.055090
</td>
<td>
0.2208
</td>
<td>
0.07638
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
305
</th>
<td>
893061
</td>
<td>
B
</td>
<td>
11.600
</td>
<td>
24.49
</td>
<td>
74.23
</td>
<td>
417.2
</td>
<td>
0.07474
</td>
<td>
0.05688
</td>
<td>
0.019740
</td>
<td>
0.013130
</td>
<td>
0.1935
</td>
<td>
0.05878
</td>
<td>
0.2512
</td>
<td>
1.7860
</td>
<td>
1.9610
</td>
<td>
18.210
</td>
<td>
0.006122
</td>
<td>
0.023370
</td>
<td>
0.015960
</td>
<td>
0.006998
</td>
<td>
0.031940
</td>
<td>
0.002211
</td>
<td>
12.440
</td>
<td>
31.62
</td>
<td>
81.39
</td>
<td>
476.5
</td>
<td>
0.09545
</td>
<td>
0.13610
</td>
<td>
0.072390
</td>
<td>
0.048150
</td>
<td>
0.3244
</td>
<td>
0.06745
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
306
</th>
<td>
89344
</td>
<td>
B
</td>
<td>
13.200
</td>
<td>
15.82
</td>
<td>
84.07
</td>
<td>
537.3
</td>
<td>
0.08511
</td>
<td>
0.05251
</td>
<td>
0.001461
</td>
<td>
0.003261
</td>
<td>
0.1632
</td>
<td>
0.05894
</td>
<td>
0.1903
</td>
<td>
0.5735
</td>
<td>
1.2040
</td>
<td>
15.500
</td>
<td>
0.003632
</td>
<td>
0.007861
</td>
<td>
0.001128
</td>
<td>
0.002386
</td>
<td>
0.013440
</td>
<td>
0.002585
</td>
<td>
14.410
</td>
<td>
20.45
</td>
<td>
92.00
</td>
<td>
636.9
</td>
<td>
0.11280
</td>
<td>
0.13460
</td>
<td>
0.011200
</td>
<td>
0.025000
</td>
<td>
0.2651
</td>
<td>
0.08385
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
307
</th>
<td>
89346
</td>
<td>
B
</td>
<td>
9.000
</td>
<td>
14.40
</td>
<td>
56.36
</td>
<td>
246.3
</td>
<td>
0.07005
</td>
<td>
0.03116
</td>
<td>
0.003681
</td>
<td>
0.003472
</td>
<td>
0.1788
</td>
<td>
0.06833
</td>
<td>
0.1746
</td>
<td>
1.3050
</td>
<td>
1.1440
</td>
<td>
9.789
</td>
<td>
0.007389
</td>
<td>
0.004883
</td>
<td>
0.003681
</td>
<td>
0.003472
</td>
<td>
0.027010
</td>
<td>
0.002153
</td>
<td>
9.699
</td>
<td>
20.07
</td>
<td>
60.90
</td>
<td>
285.5
</td>
<td>
0.09861
</td>
<td>
0.05232
</td>
<td>
0.014720
</td>
<td>
0.013890
</td>
<td>
0.2991
</td>
<td>
0.07804
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
308
</th>
<td>
893526
</td>
<td>
B
</td>
<td>
13.500
</td>
<td>
12.71
</td>
<td>
85.69
</td>
<td>
566.2
</td>
<td>
0.07376
</td>
<td>
0.03614
</td>
<td>
0.002758
</td>
<td>
0.004419
</td>
<td>
0.1365
</td>
<td>
0.05335
</td>
<td>
0.2244
</td>
<td>
0.6864
</td>
<td>
1.5090
</td>
<td>
20.390
</td>
<td>
0.003338
</td>
<td>
0.003746
</td>
<td>
0.002030
</td>
<td>
0.003242
</td>
<td>
0.014800
</td>
<td>
0.001566
</td>
<td>
14.970
</td>
<td>
16.94
</td>
<td>
95.48
</td>
<td>
698.7
</td>
<td>
0.09023
</td>
<td>
0.05836
</td>
<td>
0.013790
</td>
<td>
0.022100
</td>
<td>
0.2267
</td>
<td>
0.06192
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
309
</th>
<td>
893548
</td>
<td>
B
</td>
<td>
13.050
</td>
<td>
13.84
</td>
<td>
82.71
</td>
<td>
530.6
</td>
<td>
0.08352
</td>
<td>
0.03735
</td>
<td>
0.004559
</td>
<td>
0.008829
</td>
<td>
0.1453
</td>
<td>
0.05518
</td>
<td>
0.3975
</td>
<td>
0.8285
</td>
<td>
2.5670
</td>
<td>
33.010
</td>
<td>
0.004148
</td>
<td>
0.004711
</td>
<td>
0.002831
</td>
<td>
0.004821
</td>
<td>
0.014220
</td>
<td>
0.002273
</td>
<td>
14.730
</td>
<td>
17.40
</td>
<td>
93.96
</td>
<td>
672.4
</td>
<td>
0.10160
</td>
<td>
0.05847
</td>
<td>
0.018240
</td>
<td>
0.035320
</td>
<td>
0.2107
</td>
<td>
0.06580
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
310
</th>
<td>
893783
</td>
<td>
B
</td>
<td>
11.700
</td>
<td>
19.11
</td>
<td>
74.33
</td>
<td>
418.7
</td>
<td>
0.08814
</td>
<td>
0.05253
</td>
<td>
0.015830
</td>
<td>
0.011480
</td>
<td>
0.1936
</td>
<td>
0.06128
</td>
<td>
0.1601
</td>
<td>
1.4300
</td>
<td>
1.1090
</td>
<td>
11.280
</td>
<td>
0.006064
</td>
<td>
0.009110
</td>
<td>
0.010420
</td>
<td>
0.007638
</td>
<td>
0.023490
</td>
<td>
0.001661
</td>
<td>
12.610
</td>
<td>
26.55
</td>
<td>
80.92
</td>
<td>
483.1
</td>
<td>
0.12230
</td>
<td>
0.10870
</td>
<td>
0.079150
</td>
<td>
0.057410
</td>
<td>
0.3487
</td>
<td>
0.06958
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
311
</th>
<td>
89382601
</td>
<td>
B
</td>
<td>
14.610
</td>
<td>
15.69
</td>
<td>
92.68
</td>
<td>
664.9
</td>
<td>
0.07618
</td>
<td>
0.03515
</td>
<td>
0.014470
</td>
<td>
0.018770
</td>
<td>
0.1632
</td>
<td>
0.05255
</td>
<td>
0.3160
</td>
<td>
0.9115
</td>
<td>
1.9540
</td>
<td>
28.900
</td>
<td>
0.005031
</td>
<td>
0.006021
</td>
<td>
0.005325
</td>
<td>
0.006324
</td>
<td>
0.014940
</td>
<td>
0.000895
</td>
<td>
16.460
</td>
<td>
21.75
</td>
<td>
103.70
</td>
<td>
840.8
</td>
<td>
0.10110
</td>
<td>
0.07087
</td>
<td>
0.047460
</td>
<td>
0.058130
</td>
<td>
0.2530
</td>
<td>
0.05695
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
312
</th>
<td>
89382602
</td>
<td>
B
</td>
<td>
12.760
</td>
<td>
13.37
</td>
<td>
82.29
</td>
<td>
504.1
</td>
<td>
0.08794
</td>
<td>
0.07948
</td>
<td>
0.040520
</td>
<td>
0.025480
</td>
<td>
0.1601
</td>
<td>
0.06140
</td>
<td>
0.3265
</td>
<td>
0.6594
</td>
<td>
2.3460
</td>
<td>
25.180
</td>
<td>
0.006494
</td>
<td>
0.027680
</td>
<td>
0.031370
</td>
<td>
0.010690
</td>
<td>
0.017310
</td>
<td>
0.004392
</td>
<td>
14.190
</td>
<td>
16.40
</td>
<td>
92.04
</td>
<td>
618.8
</td>
<td>
0.11940
</td>
<td>
0.22080
</td>
<td>
0.176900
</td>
<td>
0.084110
</td>
<td>
0.2564
</td>
<td>
0.08253
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
313
</th>
<td>
893988
</td>
<td>
B
</td>
<td>
11.540
</td>
<td>
10.72
</td>
<td>
73.73
</td>
<td>
409.1
</td>
<td>
0.08597
</td>
<td>
0.05969
</td>
<td>
0.013670
</td>
<td>
0.008907
</td>
<td>
0.1833
</td>
<td>
0.06100
</td>
<td>
0.1312
</td>
<td>
0.3602
</td>
<td>
1.1070
</td>
<td>
9.438
</td>
<td>
0.004124
</td>
<td>
0.013400
</td>
<td>
0.010030
</td>
<td>
0.004667
</td>
<td>
0.020320
</td>
<td>
0.001952
</td>
<td>
12.340
</td>
<td>
12.87
</td>
<td>
81.23
</td>
<td>
467.8
</td>
<td>
0.10920
</td>
<td>
0.16260
</td>
<td>
0.083240
</td>
<td>
0.047150
</td>
<td>
0.3390
</td>
<td>
0.07434
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
314
</th>
<td>
894047
</td>
<td>
B
</td>
<td>
8.597
</td>
<td>
18.60
</td>
<td>
54.09
</td>
<td>
221.2
</td>
<td>
0.10740
</td>
<td>
0.05847
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2163
</td>
<td>
0.07359
</td>
<td>
0.3368
</td>
<td>
2.7770
</td>
<td>
2.2220
</td>
<td>
17.810
</td>
<td>
0.020750
</td>
<td>
0.014030
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.061460
</td>
<td>
0.006820
</td>
<td>
8.952
</td>
<td>
22.44
</td>
<td>
56.65
</td>
<td>
240.1
</td>
<td>
0.13470
</td>
<td>
0.07767
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.3142
</td>
<td>
0.08116
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
315
</th>
<td>
894089
</td>
<td>
B
</td>
<td>
12.490
</td>
<td>
16.85
</td>
<td>
79.19
</td>
<td>
481.6
</td>
<td>
0.08511
</td>
<td>
0.03834
</td>
<td>
0.004473
</td>
<td>
0.006423
</td>
<td>
0.1215
</td>
<td>
0.05673
</td>
<td>
0.1716
</td>
<td>
0.7151
</td>
<td>
1.0470
</td>
<td>
12.690
</td>
<td>
0.004928
</td>
<td>
0.003012
</td>
<td>
0.002620
</td>
<td>
0.003390
</td>
<td>
0.013930
</td>
<td>
0.001344
</td>
<td>
13.340
</td>
<td>
19.71
</td>
<td>
84.48
</td>
<td>
544.2
</td>
<td>
0.11040
</td>
<td>
0.04953
</td>
<td>
0.019380
</td>
<td>
0.027840
</td>
<td>
0.1917
</td>
<td>
0.06174
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
316
</th>
<td>
894090
</td>
<td>
B
</td>
<td>
12.180
</td>
<td>
14.08
</td>
<td>
77.25
</td>
<td>
461.4
</td>
<td>
0.07734
</td>
<td>
0.03212
</td>
<td>
0.011230
</td>
<td>
0.005051
</td>
<td>
0.1673
</td>
<td>
0.05649
</td>
<td>
0.2113
</td>
<td>
0.5996
</td>
<td>
1.4380
</td>
<td>
15.820
</td>
<td>
0.005343
</td>
<td>
0.005767
</td>
<td>
0.011230
</td>
<td>
0.005051
</td>
<td>
0.019770
</td>
<td>
0.000950
</td>
<td>
12.850
</td>
<td>
16.47
</td>
<td>
81.60
</td>
<td>
513.1
</td>
<td>
0.10010
</td>
<td>
0.05332
</td>
<td>
0.041160
</td>
<td>
0.018520
</td>
<td>
0.2293
</td>
<td>
0.06037
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
317
</th>
<td>
894326
</td>
<td>
M
</td>
<td>
18.220
</td>
<td>
18.87
</td>
<td>
118.70
</td>
<td>
1027.0
</td>
<td>
0.09746
</td>
<td>
0.11170
</td>
<td>
0.113000
</td>
<td>
0.079500
</td>
<td>
0.1807
</td>
<td>
0.05664
</td>
<td>
0.4041
</td>
<td>
0.5503
</td>
<td>
2.5470
</td>
<td>
48.900
</td>
<td>
0.004821
</td>
<td>
0.016590
</td>
<td>
0.024080
</td>
<td>
0.011430
</td>
<td>
0.012750
</td>
<td>
0.002451
</td>
<td>
21.840
</td>
<td>
25.00
</td>
<td>
140.90
</td>
<td>
1485.0
</td>
<td>
0.14340
</td>
<td>
0.27630
</td>
<td>
0.385300
</td>
<td>
0.177600
</td>
<td>
0.2812
</td>
<td>
0.08198
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
318
</th>
<td>
894329
</td>
<td>
B
</td>
<td>
9.042
</td>
<td>
18.90
</td>
<td>
60.07
</td>
<td>
244.5
</td>
<td>
0.09968
</td>
<td>
0.19720
</td>
<td>
0.197500
</td>
<td>
0.049080
</td>
<td>
0.2330
</td>
<td>
0.08743
</td>
<td>
0.4653
</td>
<td>
1.9110
</td>
<td>
3.7690
</td>
<td>
24.200
</td>
<td>
0.009845
</td>
<td>
0.065900
</td>
<td>
0.102700
</td>
<td>
0.025270
</td>
<td>
0.034910
</td>
<td>
0.007877
</td>
<td>
10.060
</td>
<td>
23.40
</td>
<td>
68.62
</td>
<td>
297.1
</td>
<td>
0.12210
</td>
<td>
0.37480
</td>
<td>
0.460900
</td>
<td>
0.114500
</td>
<td>
0.3135
</td>
<td>
0.10550
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
319
</th>
<td>
894335
</td>
<td>
B
</td>
<td>
12.430
</td>
<td>
17.00
</td>
<td>
78.60
</td>
<td>
477.3
</td>
<td>
0.07557
</td>
<td>
0.03454
</td>
<td>
0.013420
</td>
<td>
0.016990
</td>
<td>
0.1472
</td>
<td>
0.05561
</td>
<td>
0.3778
</td>
<td>
2.2000
</td>
<td>
2.4870
</td>
<td>
31.160
</td>
<td>
0.007357
</td>
<td>
0.010790
</td>
<td>
0.009959
</td>
<td>
0.011200
</td>
<td>
0.034330
</td>
<td>
0.002961
</td>
<td>
12.900
</td>
<td>
20.21
</td>
<td>
81.76
</td>
<td>
515.9
</td>
<td>
0.08409
</td>
<td>
0.04712
</td>
<td>
0.022370
</td>
<td>
0.028320
</td>
<td>
0.1901
</td>
<td>
0.05932
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
320
</th>
<td>
894604
</td>
<td>
B
</td>
<td>
10.250
</td>
<td>
16.18
</td>
<td>
66.52
</td>
<td>
324.2
</td>
<td>
0.10610
</td>
<td>
0.11110
</td>
<td>
0.067260
</td>
<td>
0.039650
</td>
<td>
0.1743
</td>
<td>
0.07279
</td>
<td>
0.3677
</td>
<td>
1.4710
</td>
<td>
1.5970
</td>
<td>
22.680
</td>
<td>
0.010490
</td>
<td>
0.042650
</td>
<td>
0.040040
</td>
<td>
0.015440
</td>
<td>
0.027190
</td>
<td>
0.007596
</td>
<td>
11.280
</td>
<td>
20.61
</td>
<td>
71.53
</td>
<td>
390.4
</td>
<td>
0.14020
</td>
<td>
0.23600
</td>
<td>
0.189800
</td>
<td>
0.097440
</td>
<td>
0.2608
</td>
<td>
0.09702
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
321
</th>
<td>
894618
</td>
<td>
M
</td>
<td>
20.160
</td>
<td>
19.66
</td>
<td>
131.10
</td>
<td>
1274.0
</td>
<td>
0.08020
</td>
<td>
0.08564
</td>
<td>
0.115500
</td>
<td>
0.077260
</td>
<td>
0.1928
</td>
<td>
0.05096
</td>
<td>
0.5925
</td>
<td>
0.6863
</td>
<td>
3.8680
</td>
<td>
74.850
</td>
<td>
0.004536
</td>
<td>
0.013760
</td>
<td>
0.026450
</td>
<td>
0.012470
</td>
<td>
0.021930
</td>
<td>
0.001589
</td>
<td>
23.060
</td>
<td>
23.03
</td>
<td>
150.20
</td>
<td>
1657.0
</td>
<td>
0.10540
</td>
<td>
0.15370
</td>
<td>
0.260600
</td>
<td>
0.142500
</td>
<td>
0.3055
</td>
<td>
0.05933
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
322
</th>
<td>
894855
</td>
<td>
B
</td>
<td>
12.860
</td>
<td>
13.32
</td>
<td>
82.82
</td>
<td>
504.8
</td>
<td>
0.11340
</td>
<td>
0.08834
</td>
<td>
0.038000
</td>
<td>
0.034000
</td>
<td>
0.1543
</td>
<td>
0.06476
</td>
<td>
0.2212
</td>
<td>
1.0420
</td>
<td>
1.6140
</td>
<td>
16.570
</td>
<td>
0.005910
</td>
<td>
0.020160
</td>
<td>
0.019020
</td>
<td>
0.010110
</td>
<td>
0.012020
</td>
<td>
0.003107
</td>
<td>
14.040
</td>
<td>
21.08
</td>
<td>
92.80
</td>
<td>
599.5
</td>
<td>
0.15470
</td>
<td>
0.22310
</td>
<td>
0.179100
</td>
<td>
0.115500
</td>
<td>
0.2382
</td>
<td>
0.08553
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
323
</th>
<td>
895100
</td>
<td>
M
</td>
<td>
20.340
</td>
<td>
21.51
</td>
<td>
135.90
</td>
<td>
1264.0
</td>
<td>
0.11700
</td>
<td>
0.18750
</td>
<td>
0.256500
</td>
<td>
0.150400
</td>
<td>
0.2569
</td>
<td>
0.06670
</td>
<td>
0.5702
</td>
<td>
1.0230
</td>
<td>
4.0120
</td>
<td>
69.060
</td>
<td>
0.005485
</td>
<td>
0.024310
</td>
<td>
0.031900
</td>
<td>
0.013690
</td>
<td>
0.027680
</td>
<td>
0.003345
</td>
<td>
25.300
</td>
<td>
31.86
</td>
<td>
171.10
</td>
<td>
1938.0
</td>
<td>
0.15920
</td>
<td>
0.44920
</td>
<td>
0.534400
</td>
<td>
0.268500
</td>
<td>
0.5558
</td>
<td>
0.10240
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
324
</th>
<td>
89511501
</td>
<td>
B
</td>
<td>
12.200
</td>
<td>
15.21
</td>
<td>
78.01
</td>
<td>
457.9
</td>
<td>
0.08673
</td>
<td>
0.06545
</td>
<td>
0.019940
</td>
<td>
0.016920
</td>
<td>
0.1638
</td>
<td>
0.06129
</td>
<td>
0.2575
</td>
<td>
0.8073
</td>
<td>
1.9590
</td>
<td>
19.010
</td>
<td>
0.005403
</td>
<td>
0.014180
</td>
<td>
0.010510
</td>
<td>
0.005142
</td>
<td>
0.013330
</td>
<td>
0.002065
</td>
<td>
13.750
</td>
<td>
21.38
</td>
<td>
91.11
</td>
<td>
583.1
</td>
<td>
0.12560
</td>
<td>
0.19280
</td>
<td>
0.116700
</td>
<td>
0.055560
</td>
<td>
0.2661
</td>
<td>
0.07961
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
325
</th>
<td>
89511502
</td>
<td>
B
</td>
<td>
12.670
</td>
<td>
17.30
</td>
<td>
81.25
</td>
<td>
489.9
</td>
<td>
0.10280
</td>
<td>
0.07664
</td>
<td>
0.031930
</td>
<td>
0.021070
</td>
<td>
0.1707
</td>
<td>
0.05984
</td>
<td>
0.2100
</td>
<td>
0.9505
</td>
<td>
1.5660
</td>
<td>
17.610
</td>
<td>
0.006809
</td>
<td>
0.009514
</td>
<td>
0.013290
</td>
<td>
0.006474
</td>
<td>
0.020570
</td>
<td>
0.001784
</td>
<td>
13.710
</td>
<td>
21.10
</td>
<td>
88.70
</td>
<td>
574.4
</td>
<td>
0.13840
</td>
<td>
0.12120
</td>
<td>
0.102000
</td>
<td>
0.056020
</td>
<td>
0.2688
</td>
<td>
0.06888
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
326
</th>
<td>
89524
</td>
<td>
B
</td>
<td>
14.110
</td>
<td>
12.88
</td>
<td>
90.03
</td>
<td>
616.5
</td>
<td>
0.09309
</td>
<td>
0.05306
</td>
<td>
0.017650
</td>
<td>
0.027330
</td>
<td>
0.1373
</td>
<td>
0.05700
</td>
<td>
0.2571
</td>
<td>
1.0810
</td>
<td>
1.5580
</td>
<td>
23.920
</td>
<td>
0.006692
</td>
<td>
0.011320
</td>
<td>
0.005717
</td>
<td>
0.006627
</td>
<td>
0.014160
</td>
<td>
0.002476
</td>
<td>
15.530
</td>
<td>
18.00
</td>
<td>
98.40
</td>
<td>
749.9
</td>
<td>
0.12810
</td>
<td>
0.11090
</td>
<td>
0.053070
</td>
<td>
0.058900
</td>
<td>
0.2100
</td>
<td>
0.07083
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
327
</th>
<td>
895299
</td>
<td>
B
</td>
<td>
12.030
</td>
<td>
17.93
</td>
<td>
76.09
</td>
<td>
446.0
</td>
<td>
0.07683
</td>
<td>
0.03892
</td>
<td>
0.001546
</td>
<td>
0.005592
</td>
<td>
0.1382
</td>
<td>
0.06070
</td>
<td>
0.2335
</td>
<td>
0.9097
</td>
<td>
1.4660
</td>
<td>
16.970
</td>
<td>
0.004729
</td>
<td>
0.006887
</td>
<td>
0.001184
</td>
<td>
0.003951
</td>
<td>
0.014660
</td>
<td>
0.001755
</td>
<td>
13.070
</td>
<td>
22.25
</td>
<td>
82.74
</td>
<td>
523.4
</td>
<td>
0.10130
</td>
<td>
0.07390
</td>
<td>
0.007732
</td>
<td>
0.027960
</td>
<td>
0.2171
</td>
<td>
0.07037
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
328
</th>
<td>
8953902
</td>
<td>
M
</td>
<td>
16.270
</td>
<td>
20.71
</td>
<td>
106.90
</td>
<td>
813.7
</td>
<td>
0.11690
</td>
<td>
0.13190
</td>
<td>
0.147800
</td>
<td>
0.084880
</td>
<td>
0.1948
</td>
<td>
0.06277
</td>
<td>
0.4375
</td>
<td>
1.2320
</td>
<td>
3.2700
</td>
<td>
44.410
</td>
<td>
0.006697
</td>
<td>
0.020830
</td>
<td>
0.032480
</td>
<td>
0.013920
</td>
<td>
0.015360
</td>
<td>
0.002789
</td>
<td>
19.280
</td>
<td>
30.38
</td>
<td>
129.80
</td>
<td>
1121.0
</td>
<td>
0.15900
</td>
<td>
0.29470
</td>
<td>
0.359700
</td>
<td>
0.158300
</td>
<td>
0.3103
</td>
<td>
0.08200
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
329
</th>
<td>
895633
</td>
<td>
M
</td>
<td>
16.260
</td>
<td>
21.88
</td>
<td>
107.50
</td>
<td>
826.8
</td>
<td>
0.11650
</td>
<td>
0.12830
</td>
<td>
0.179900
</td>
<td>
0.079810
</td>
<td>
0.1869
</td>
<td>
0.06532
</td>
<td>
0.5706
</td>
<td>
1.4570
</td>
<td>
2.9610
</td>
<td>
57.720
</td>
<td>
0.010560
</td>
<td>
0.037560
</td>
<td>
0.058390
</td>
<td>
0.011860
</td>
<td>
0.040220
</td>
<td>
0.006187
</td>
<td>
17.730
</td>
<td>
25.21
</td>
<td>
113.70
</td>
<td>
975.2
</td>
<td>
0.14260
</td>
<td>
0.21160
</td>
<td>
0.334400
</td>
<td>
0.104700
</td>
<td>
0.2736
</td>
<td>
0.07953
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
330
</th>
<td>
896839
</td>
<td>
M
</td>
<td>
16.030
</td>
<td>
15.51
</td>
<td>
105.80
</td>
<td>
793.2
</td>
<td>
0.09491
</td>
<td>
0.13710
</td>
<td>
0.120400
</td>
<td>
0.070410
</td>
<td>
0.1782
</td>
<td>
0.05976
</td>
<td>
0.3371
</td>
<td>
0.7476
</td>
<td>
2.6290
</td>
<td>
33.270
</td>
<td>
0.005839
</td>
<td>
0.032450
</td>
<td>
0.037150
</td>
<td>
0.014590
</td>
<td>
0.014670
</td>
<td>
0.003121
</td>
<td>
18.760
</td>
<td>
21.98
</td>
<td>
124.30
</td>
<td>
1070.0
</td>
<td>
0.14350
</td>
<td>
0.44780
</td>
<td>
0.495600
</td>
<td>
0.198100
</td>
<td>
0.3019
</td>
<td>
0.09124
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
331
</th>
<td>
896864
</td>
<td>
B
</td>
<td>
12.980
</td>
<td>
19.35
</td>
<td>
84.52
</td>
<td>
514.0
</td>
<td>
0.09579
</td>
<td>
0.11250
</td>
<td>
0.071070
</td>
<td>
0.029500
</td>
<td>
0.1761
</td>
<td>
0.06540
</td>
<td>
0.2684
</td>
<td>
0.5664
</td>
<td>
2.4650
</td>
<td>
20.650
</td>
<td>
0.005727
</td>
<td>
0.032550
</td>
<td>
0.043930
</td>
<td>
0.009811
</td>
<td>
0.027510
</td>
<td>
0.004572
</td>
<td>
14.420
</td>
<td>
21.95
</td>
<td>
99.21
</td>
<td>
634.3
</td>
<td>
0.12880
</td>
<td>
0.32530
</td>
<td>
0.343900
</td>
<td>
0.098580
</td>
<td>
0.3596
</td>
<td>
0.09166
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
332
</th>
<td>
897132
</td>
<td>
B
</td>
<td>
11.220
</td>
<td>
19.86
</td>
<td>
71.94
</td>
<td>
387.3
</td>
<td>
0.10540
</td>
<td>
0.06779
</td>
<td>
0.005006
</td>
<td>
0.007583
</td>
<td>
0.1940
</td>
<td>
0.06028
</td>
<td>
0.2976
</td>
<td>
1.9660
</td>
<td>
1.9590
</td>
<td>
19.620
</td>
<td>
0.012890
</td>
<td>
0.011040
</td>
<td>
0.003297
</td>
<td>
0.004967
</td>
<td>
0.042430
</td>
<td>
0.001963
</td>
<td>
11.980
</td>
<td>
25.78
</td>
<td>
76.91
</td>
<td>
436.1
</td>
<td>
0.14240
</td>
<td>
0.09669
</td>
<td>
0.013350
</td>
<td>
0.020220
</td>
<td>
0.3292
</td>
<td>
0.06522
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
333
</th>
<td>
897137
</td>
<td>
B
</td>
<td>
11.250
</td>
<td>
14.78
</td>
<td>
71.38
</td>
<td>
390.0
</td>
<td>
0.08306
</td>
<td>
0.04458
</td>
<td>
0.000974
</td>
<td>
0.002941
</td>
<td>
0.1773
</td>
<td>
0.06081
</td>
<td>
0.2144
</td>
<td>
0.9961
</td>
<td>
1.5290
</td>
<td>
15.070
</td>
<td>
0.005617
</td>
<td>
0.007124
</td>
<td>
0.000974
</td>
<td>
0.002941
</td>
<td>
0.017000
</td>
<td>
0.002030
</td>
<td>
12.760
</td>
<td>
22.06
</td>
<td>
82.08
</td>
<td>
492.7
</td>
<td>
0.11660
</td>
<td>
0.09794
</td>
<td>
0.005518
</td>
<td>
0.016670
</td>
<td>
0.2815
</td>
<td>
0.07418
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
334
</th>
<td>
897374
</td>
<td>
B
</td>
<td>
12.300
</td>
<td>
19.02
</td>
<td>
77.88
</td>
<td>
464.4
</td>
<td>
0.08313
</td>
<td>
0.04202
</td>
<td>
0.007756
</td>
<td>
0.008535
</td>
<td>
0.1539
</td>
<td>
0.05945
</td>
<td>
0.1840
</td>
<td>
1.5320
</td>
<td>
1.1990
</td>
<td>
13.240
</td>
<td>
0.007881
</td>
<td>
0.008432
</td>
<td>
0.007004
</td>
<td>
0.006522
</td>
<td>
0.019390
</td>
<td>
0.002222
</td>
<td>
13.350
</td>
<td>
28.46
</td>
<td>
84.53
</td>
<td>
544.3
</td>
<td>
0.12220
</td>
<td>
0.09052
</td>
<td>
0.036190
</td>
<td>
0.039830
</td>
<td>
0.2554
</td>
<td>
0.07207
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
335
</th>
<td>
89742801
</td>
<td>
M
</td>
<td>
17.060
</td>
<td>
21.00
</td>
<td>
111.80
</td>
<td>
918.6
</td>
<td>
0.11190
</td>
<td>
0.10560
</td>
<td>
0.150800
</td>
<td>
0.099340
</td>
<td>
0.1727
</td>
<td>
0.06071
</td>
<td>
0.8161
</td>
<td>
2.1290
</td>
<td>
6.0760
</td>
<td>
87.170
</td>
<td>
0.006455
</td>
<td>
0.017970
</td>
<td>
0.045020
</td>
<td>
0.017440
</td>
<td>
0.018290
</td>
<td>
0.003733
</td>
<td>
20.990
</td>
<td>
33.15
</td>
<td>
143.20
</td>
<td>
1362.0
</td>
<td>
0.14490
</td>
<td>
0.20530
</td>
<td>
0.392000
</td>
<td>
0.182700
</td>
<td>
0.2623
</td>
<td>
0.07599
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
336
</th>
<td>
897604
</td>
<td>
B
</td>
<td>
12.990
</td>
<td>
14.23
</td>
<td>
84.08
</td>
<td>
514.3
</td>
<td>
0.09462
</td>
<td>
0.09965
</td>
<td>
0.037380
</td>
<td>
0.020980
</td>
<td>
0.1652
</td>
<td>
0.07238
</td>
<td>
0.1814
</td>
<td>
0.6412
</td>
<td>
0.9219
</td>
<td>
14.410
</td>
<td>
0.005231
</td>
<td>
0.023050
</td>
<td>
0.031130
</td>
<td>
0.007315
</td>
<td>
0.016390
</td>
<td>
0.005701
</td>
<td>
13.720
</td>
<td>
16.91
</td>
<td>
87.38
</td>
<td>
576.0
</td>
<td>
0.11420
</td>
<td>
0.19750
</td>
<td>
0.145000
</td>
<td>
0.058500
</td>
<td>
0.2432
</td>
<td>
0.10090
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
337
</th>
<td>
897630
</td>
<td>
M
</td>
<td>
18.770
</td>
<td>
21.43
</td>
<td>
122.90
</td>
<td>
1092.0
</td>
<td>
0.09116
</td>
<td>
0.14020
</td>
<td>
0.106000
</td>
<td>
0.060900
</td>
<td>
0.1953
</td>
<td>
0.06083
</td>
<td>
0.6422
</td>
<td>
1.5300
</td>
<td>
4.3690
</td>
<td>
88.250
</td>
<td>
0.007548
</td>
<td>
0.038970
</td>
<td>
0.039140
</td>
<td>
0.018160
</td>
<td>
0.021680
</td>
<td>
0.004445
</td>
<td>
24.540
</td>
<td>
34.37
</td>
<td>
161.10
</td>
<td>
1873.0
</td>
<td>
0.14980
</td>
<td>
0.48270
</td>
<td>
0.463400
</td>
<td>
0.204800
</td>
<td>
0.3679
</td>
<td>
0.09870
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
338
</th>
<td>
897880
</td>
<td>
B
</td>
<td>
10.050
</td>
<td>
17.53
</td>
<td>
64.41
</td>
<td>
310.8
</td>
<td>
0.10070
</td>
<td>
0.07326
</td>
<td>
0.025110
</td>
<td>
0.017750
</td>
<td>
0.1890
</td>
<td>
0.06331
</td>
<td>
0.2619
</td>
<td>
2.0150
</td>
<td>
1.7780
</td>
<td>
16.850
</td>
<td>
0.007803
</td>
<td>
0.014490
</td>
<td>
0.016900
</td>
<td>
0.008043
</td>
<td>
0.021000
</td>
<td>
0.002778
</td>
<td>
11.160
</td>
<td>
26.84
</td>
<td>
71.98
</td>
<td>
384.0
</td>
<td>
0.14020
</td>
<td>
0.14020
</td>
<td>
0.105500
</td>
<td>
0.064990
</td>
<td>
0.2894
</td>
<td>
0.07664
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
339
</th>
<td>
89812
</td>
<td>
M
</td>
<td>
23.510
</td>
<td>
24.27
</td>
<td>
155.10
</td>
<td>
1747.0
</td>
<td>
0.10690
</td>
<td>
0.12830
</td>
<td>
0.230800
</td>
<td>
0.141000
</td>
<td>
0.1797
</td>
<td>
0.05506
</td>
<td>
1.0090
</td>
<td>
0.9245
</td>
<td>
6.4620
</td>
<td>
164.100
</td>
<td>
0.006292
</td>
<td>
0.019710
</td>
<td>
0.035820
</td>
<td>
0.013010
</td>
<td>
0.014790
</td>
<td>
0.003118
</td>
<td>
30.670
</td>
<td>
30.73
</td>
<td>
202.40
</td>
<td>
2906.0
</td>
<td>
0.15150
</td>
<td>
0.26780
</td>
<td>
0.481900
</td>
<td>
0.208900
</td>
<td>
0.2593
</td>
<td>
0.07738
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
340
</th>
<td>
89813
</td>
<td>
B
</td>
<td>
14.420
</td>
<td>
16.54
</td>
<td>
94.15
</td>
<td>
641.2
</td>
<td>
0.09751
</td>
<td>
0.11390
</td>
<td>
0.080070
</td>
<td>
0.042230
</td>
<td>
0.1912
</td>
<td>
0.06412
</td>
<td>
0.3491
</td>
<td>
0.7706
</td>
<td>
2.6770
</td>
<td>
32.140
</td>
<td>
0.004577
</td>
<td>
0.030530
</td>
<td>
0.038400
</td>
<td>
0.012430
</td>
<td>
0.018730
</td>
<td>
0.003373
</td>
<td>
16.670
</td>
<td>
21.51
</td>
<td>
111.40
</td>
<td>
862.1
</td>
<td>
0.12940
</td>
<td>
0.33710
</td>
<td>
0.375500
</td>
<td>
0.141400
</td>
<td>
0.3053
</td>
<td>
0.08764
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
341
</th>
<td>
898143
</td>
<td>
B
</td>
<td>
9.606
</td>
<td>
16.84
</td>
<td>
61.64
</td>
<td>
280.5
</td>
<td>
0.08481
</td>
<td>
0.09228
</td>
<td>
0.084220
</td>
<td>
0.022920
</td>
<td>
0.2036
</td>
<td>
0.07125
</td>
<td>
0.1844
</td>
<td>
0.9429
</td>
<td>
1.4290
</td>
<td>
12.070
</td>
<td>
0.005954
</td>
<td>
0.034710
</td>
<td>
0.050280
</td>
<td>
0.008510
</td>
<td>
0.017500
</td>
<td>
0.004031
</td>
<td>
10.750
</td>
<td>
23.07
</td>
<td>
71.25
</td>
<td>
353.6
</td>
<td>
0.12330
</td>
<td>
0.34160
</td>
<td>
0.434100
</td>
<td>
0.081200
</td>
<td>
0.2982
</td>
<td>
0.09825
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
342
</th>
<td>
89827
</td>
<td>
B
</td>
<td>
11.060
</td>
<td>
14.96
</td>
<td>
71.49
</td>
<td>
373.9
</td>
<td>
0.10330
</td>
<td>
0.09097
</td>
<td>
0.053970
</td>
<td>
0.033410
</td>
<td>
0.1776
</td>
<td>
0.06907
</td>
<td>
0.1601
</td>
<td>
0.8225
</td>
<td>
1.3550
</td>
<td>
10.800
</td>
<td>
0.007416
</td>
<td>
0.018770
</td>
<td>
0.027580
</td>
<td>
0.010100
</td>
<td>
0.023480
</td>
<td>
0.002917
</td>
<td>
11.920
</td>
<td>
19.90
</td>
<td>
79.76
</td>
<td>
440.0
</td>
<td>
0.14180
</td>
<td>
0.22100
</td>
<td>
0.229900
</td>
<td>
0.107500
</td>
<td>
0.3301
</td>
<td>
0.09080
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
343
</th>
<td>
898431
</td>
<td>
M
</td>
<td>
19.680
</td>
<td>
21.68
</td>
<td>
129.90
</td>
<td>
1194.0
</td>
<td>
0.09797
</td>
<td>
0.13390
</td>
<td>
0.186300
</td>
<td>
0.110300
</td>
<td>
0.2082
</td>
<td>
0.05715
</td>
<td>
0.6226
</td>
<td>
2.2840
</td>
<td>
5.1730
</td>
<td>
67.660
</td>
<td>
0.004756
</td>
<td>
0.033680
</td>
<td>
0.043450
</td>
<td>
0.018060
</td>
<td>
0.037560
</td>
<td>
0.003288
</td>
<td>
22.750
</td>
<td>
34.66
</td>
<td>
157.60
</td>
<td>
1540.0
</td>
<td>
0.12180
</td>
<td>
0.34580
</td>
<td>
0.473400
</td>
<td>
0.225500
</td>
<td>
0.4045
</td>
<td>
0.07918
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
344
</th>
<td>
89864002
</td>
<td>
B
</td>
<td>
11.710
</td>
<td>
15.45
</td>
<td>
75.03
</td>
<td>
420.3
</td>
<td>
0.11500
</td>
<td>
0.07281
</td>
<td>
0.040060
</td>
<td>
0.032500
</td>
<td>
0.2009
</td>
<td>
0.06506
</td>
<td>
0.3446
</td>
<td>
0.7395
</td>
<td>
2.3550
</td>
<td>
24.530
</td>
<td>
0.009536
</td>
<td>
0.010970
</td>
<td>
0.016510
</td>
<td>
0.011210
</td>
<td>
0.019530
</td>
<td>
0.003100
</td>
<td>
13.060
</td>
<td>
18.16
</td>
<td>
84.16
</td>
<td>
516.4
</td>
<td>
0.14600
</td>
<td>
0.11150
</td>
<td>
0.108700
</td>
<td>
0.078640
</td>
<td>
0.2765
</td>
<td>
0.07806
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
345
</th>
<td>
898677
</td>
<td>
B
</td>
<td>
10.260
</td>
<td>
14.71
</td>
<td>
66.20
</td>
<td>
321.6
</td>
<td>
0.09882
</td>
<td>
0.09159
</td>
<td>
0.035810
</td>
<td>
0.020370
</td>
<td>
0.1633
</td>
<td>
0.07005
</td>
<td>
0.3380
</td>
<td>
2.5090
</td>
<td>
2.3940
</td>
<td>
19.330
</td>
<td>
0.017360
</td>
<td>
0.046710
</td>
<td>
0.026110
</td>
<td>
0.012960
</td>
<td>
0.036750
</td>
<td>
0.006758
</td>
<td>
10.880
</td>
<td>
19.48
</td>
<td>
70.89
</td>
<td>
357.1
</td>
<td>
0.13600
</td>
<td>
0.16360
</td>
<td>
0.071620
</td>
<td>
0.040740
</td>
<td>
0.2434
</td>
<td>
0.08488
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
346
</th>
<td>
898678
</td>
<td>
B
</td>
<td>
12.060
</td>
<td>
18.90
</td>
<td>
76.66
</td>
<td>
445.3
</td>
<td>
0.08386
</td>
<td>
0.05794
</td>
<td>
0.007510
</td>
<td>
0.008488
</td>
<td>
0.1555
</td>
<td>
0.06048
</td>
<td>
0.2430
</td>
<td>
1.1520
</td>
<td>
1.5590
</td>
<td>
18.020
</td>
<td>
0.007180
</td>
<td>
0.010960
</td>
<td>
0.005832
</td>
<td>
0.005495
</td>
<td>
0.019820
</td>
<td>
0.002754
</td>
<td>
13.640
</td>
<td>
27.06
</td>
<td>
86.54
</td>
<td>
562.6
</td>
<td>
0.12890
</td>
<td>
0.13520
</td>
<td>
0.045060
</td>
<td>
0.050930
</td>
<td>
0.2880
</td>
<td>
0.08083
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
347
</th>
<td>
89869
</td>
<td>
B
</td>
<td>
14.760
</td>
<td>
14.74
</td>
<td>
94.87
</td>
<td>
668.7
</td>
<td>
0.08875
</td>
<td>
0.07780
</td>
<td>
0.046080
</td>
<td>
0.035280
</td>
<td>
0.1521
</td>
<td>
0.05912
</td>
<td>
0.3428
</td>
<td>
0.3981
</td>
<td>
2.5370
</td>
<td>
29.060
</td>
<td>
0.004732
</td>
<td>
0.015060
</td>
<td>
0.018550
</td>
<td>
0.010670
</td>
<td>
0.021630
</td>
<td>
0.002783
</td>
<td>
17.270
</td>
<td>
17.93
</td>
<td>
114.20
</td>
<td>
880.8
</td>
<td>
0.12200
</td>
<td>
0.20090
</td>
<td>
0.215100
</td>
<td>
0.125100
</td>
<td>
0.3109
</td>
<td>
0.08187
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
348
</th>
<td>
898690
</td>
<td>
B
</td>
<td>
11.470
</td>
<td>
16.03
</td>
<td>
73.02
</td>
<td>
402.7
</td>
<td>
0.09076
</td>
<td>
0.05886
</td>
<td>
0.025870
</td>
<td>
0.023220
</td>
<td>
0.1634
</td>
<td>
0.06372
</td>
<td>
0.1707
</td>
<td>
0.7615
</td>
<td>
1.0900
</td>
<td>
12.250
</td>
<td>
0.009191
</td>
<td>
0.008548
</td>
<td>
0.009400
</td>
<td>
0.006315
</td>
<td>
0.017550
</td>
<td>
0.003009
</td>
<td>
12.510
</td>
<td>
20.79
</td>
<td>
79.67
</td>
<td>
475.8
</td>
<td>
0.15310
</td>
<td>
0.11200
</td>
<td>
0.098230
</td>
<td>
0.065480
</td>
<td>
0.2851
</td>
<td>
0.08763
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
349
</th>
<td>
899147
</td>
<td>
B
</td>
<td>
11.950
</td>
<td>
14.96
</td>
<td>
77.23
</td>
<td>
426.7
</td>
<td>
0.11580
</td>
<td>
0.12060
</td>
<td>
0.011710
</td>
<td>
0.017870
</td>
<td>
0.2459
</td>
<td>
0.06581
</td>
<td>
0.3610
</td>
<td>
1.0500
</td>
<td>
2.4550
</td>
<td>
26.650
</td>
<td>
0.005800
</td>
<td>
0.024170
</td>
<td>
0.007816
</td>
<td>
0.010520
</td>
<td>
0.027340
</td>
<td>
0.003114
</td>
<td>
12.810
</td>
<td>
17.72
</td>
<td>
83.09
</td>
<td>
496.2
</td>
<td>
0.12930
</td>
<td>
0.18850
</td>
<td>
0.031220
</td>
<td>
0.047660
</td>
<td>
0.3124
</td>
<td>
0.07590
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
350
</th>
<td>
899187
</td>
<td>
B
</td>
<td>
11.660
</td>
<td>
17.07
</td>
<td>
73.70
</td>
<td>
421.0
</td>
<td>
0.07561
</td>
<td>
0.03630
</td>
<td>
0.008306
</td>
<td>
0.011620
</td>
<td>
0.1671
</td>
<td>
0.05731
</td>
<td>
0.3534
</td>
<td>
0.6724
</td>
<td>
2.2250
</td>
<td>
26.030
</td>
<td>
0.006583
</td>
<td>
0.006991
</td>
<td>
0.005949
</td>
<td>
0.006296
</td>
<td>
0.022160
</td>
<td>
0.002668
</td>
<td>
13.280
</td>
<td>
19.74
</td>
<td>
83.61
</td>
<td>
542.5
</td>
<td>
0.09958
</td>
<td>
0.06476
</td>
<td>
0.030460
</td>
<td>
0.042620
</td>
<td>
0.2731
</td>
<td>
0.06825
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
351
</th>
<td>
899667
</td>
<td>
M
</td>
<td>
15.750
</td>
<td>
19.22
</td>
<td>
107.10
</td>
<td>
758.6
</td>
<td>
0.12430
</td>
<td>
0.23640
</td>
<td>
0.291400
</td>
<td>
0.124200
</td>
<td>
0.2375
</td>
<td>
0.07603
</td>
<td>
0.5204
</td>
<td>
1.3240
</td>
<td>
3.4770
</td>
<td>
51.220
</td>
<td>
0.009329
</td>
<td>
0.065590
</td>
<td>
0.099530
</td>
<td>
0.022830
</td>
<td>
0.055430
</td>
<td>
0.007330
</td>
<td>
17.360
</td>
<td>
24.17
</td>
<td>
119.40
</td>
<td>
915.3
</td>
<td>
0.15500
</td>
<td>
0.50460
</td>
<td>
0.687200
</td>
<td>
0.213500
</td>
<td>
0.4245
</td>
<td>
0.10500
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
352
</th>
<td>
899987
</td>
<td>
M
</td>
<td>
25.730
</td>
<td>
17.46
</td>
<td>
174.20
</td>
<td>
2010.0
</td>
<td>
0.11490
</td>
<td>
0.23630
</td>
<td>
0.336800
</td>
<td>
0.191300
</td>
<td>
0.1956
</td>
<td>
0.06121
</td>
<td>
0.9948
</td>
<td>
0.8509
</td>
<td>
7.2220
</td>
<td>
153.100
</td>
<td>
0.006369
</td>
<td>
0.042430
</td>
<td>
0.042660
</td>
<td>
0.015080
</td>
<td>
0.023350
</td>
<td>
0.003385
</td>
<td>
33.130
</td>
<td>
23.58
</td>
<td>
229.30
</td>
<td>
3234.0
</td>
<td>
0.15300
</td>
<td>
0.59370
</td>
<td>
0.645100
</td>
<td>
0.275600
</td>
<td>
0.3690
</td>
<td>
0.08815
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
353
</th>
<td>
9010018
</td>
<td>
M
</td>
<td>
15.080
</td>
<td>
25.74
</td>
<td>
98.00
</td>
<td>
716.6
</td>
<td>
0.10240
</td>
<td>
0.09769
</td>
<td>
0.123500
</td>
<td>
0.065530
</td>
<td>
0.1647
</td>
<td>
0.06464
</td>
<td>
0.6534
</td>
<td>
1.5060
</td>
<td>
4.1740
</td>
<td>
63.370
</td>
<td>
0.010520
</td>
<td>
0.024310
</td>
<td>
0.049120
</td>
<td>
0.017460
</td>
<td>
0.021200
</td>
<td>
0.004867
</td>
<td>
18.510
</td>
<td>
33.22
</td>
<td>
121.20
</td>
<td>
1050.0
</td>
<td>
0.16600
</td>
<td>
0.23560
</td>
<td>
0.402900
</td>
<td>
0.152600
</td>
<td>
0.2654
</td>
<td>
0.09438
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
354
</th>
<td>
901011
</td>
<td>
B
</td>
<td>
11.140
</td>
<td>
14.07
</td>
<td>
71.24
</td>
<td>
384.6
</td>
<td>
0.07274
</td>
<td>
0.06064
</td>
<td>
0.045050
</td>
<td>
0.014710
</td>
<td>
0.1690
</td>
<td>
0.06083
</td>
<td>
0.4222
</td>
<td>
0.8092
</td>
<td>
3.3300
</td>
<td>
28.840
</td>
<td>
0.005541
</td>
<td>
0.033870
</td>
<td>
0.045050
</td>
<td>
0.014710
</td>
<td>
0.031020
</td>
<td>
0.004831
</td>
<td>
12.120
</td>
<td>
15.82
</td>
<td>
79.62
</td>
<td>
453.5
</td>
<td>
0.08864
</td>
<td>
0.12560
</td>
<td>
0.120100
</td>
<td>
0.039220
</td>
<td>
0.2576
</td>
<td>
0.07018
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
355
</th>
<td>
9010258
</td>
<td>
B
</td>
<td>
12.560
</td>
<td>
19.07
</td>
<td>
81.92
</td>
<td>
485.8
</td>
<td>
0.08760
</td>
<td>
0.10380
</td>
<td>
0.103000
</td>
<td>
0.043910
</td>
<td>
0.1533
</td>
<td>
0.06184
</td>
<td>
0.3602
</td>
<td>
1.4780
</td>
<td>
3.2120
</td>
<td>
27.490
</td>
<td>
0.009853
</td>
<td>
0.042350
</td>
<td>
0.062710
</td>
<td>
0.019660
</td>
<td>
0.026390
</td>
<td>
0.004205
</td>
<td>
13.370
</td>
<td>
22.43
</td>
<td>
89.02
</td>
<td>
547.4
</td>
<td>
0.10960
</td>
<td>
0.20020
</td>
<td>
0.238800
</td>
<td>
0.092650
</td>
<td>
0.2121
</td>
<td>
0.07188
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
356
</th>
<td>
9010259
</td>
<td>
B
</td>
<td>
13.050
</td>
<td>
18.59
</td>
<td>
85.09
</td>
<td>
512.0
</td>
<td>
0.10820
</td>
<td>
0.13040
</td>
<td>
0.096030
</td>
<td>
0.056030
</td>
<td>
0.2035
</td>
<td>
0.06501
</td>
<td>
0.3106
</td>
<td>
1.5100
</td>
<td>
2.5900
</td>
<td>
21.570
</td>
<td>
0.007807
</td>
<td>
0.039320
</td>
<td>
0.051120
</td>
<td>
0.018760
</td>
<td>
0.028600
</td>
<td>
0.005715
</td>
<td>
14.190
</td>
<td>
24.85
</td>
<td>
94.22
</td>
<td>
591.2
</td>
<td>
0.13430
</td>
<td>
0.26580
</td>
<td>
0.257300
</td>
<td>
0.125800
</td>
<td>
0.3113
</td>
<td>
0.08317
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
357
</th>
<td>
901028
</td>
<td>
B
</td>
<td>
13.870
</td>
<td>
16.21
</td>
<td>
88.52
</td>
<td>
593.7
</td>
<td>
0.08743
</td>
<td>
0.05492
</td>
<td>
0.015020
</td>
<td>
0.020880
</td>
<td>
0.1424
</td>
<td>
0.05883
</td>
<td>
0.2543
</td>
<td>
1.3630
</td>
<td>
1.7370
</td>
<td>
20.740
</td>
<td>
0.005638
</td>
<td>
0.007939
</td>
<td>
0.005254
</td>
<td>
0.006042
</td>
<td>
0.015440
</td>
<td>
0.002087
</td>
<td>
15.110
</td>
<td>
25.58
</td>
<td>
96.74
</td>
<td>
694.4
</td>
<td>
0.11530
</td>
<td>
0.10080
</td>
<td>
0.052850
</td>
<td>
0.055560
</td>
<td>
0.2362
</td>
<td>
0.07113
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
358
</th>
<td>
9010333
</td>
<td>
B
</td>
<td>
8.878
</td>
<td>
15.49
</td>
<td>
56.74
</td>
<td>
241.0
</td>
<td>
0.08293
</td>
<td>
0.07698
</td>
<td>
0.047210
</td>
<td>
0.023810
</td>
<td>
0.1930
</td>
<td>
0.06621
</td>
<td>
0.5381
</td>
<td>
1.2000
</td>
<td>
4.2770
</td>
<td>
30.180
</td>
<td>
0.010930
</td>
<td>
0.028990
</td>
<td>
0.032140
</td>
<td>
0.015060
</td>
<td>
0.028370
</td>
<td>
0.004174
</td>
<td>
9.981
</td>
<td>
17.70
</td>
<td>
65.27
</td>
<td>
302.0
</td>
<td>
0.10150
</td>
<td>
0.12480
</td>
<td>
0.094410
</td>
<td>
0.047620
</td>
<td>
0.2434
</td>
<td>
0.07431
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
359
</th>
<td>
901034301
</td>
<td>
B
</td>
<td>
9.436
</td>
<td>
18.32
</td>
<td>
59.82
</td>
<td>
278.6
</td>
<td>
0.10090
</td>
<td>
0.05956
</td>
<td>
0.027100
</td>
<td>
0.014060
</td>
<td>
0.1506
</td>
<td>
0.06959
</td>
<td>
0.5079
</td>
<td>
1.2470
</td>
<td>
3.2670
</td>
<td>
30.480
</td>
<td>
0.006836
</td>
<td>
0.008982
</td>
<td>
0.023480
</td>
<td>
0.006565
</td>
<td>
0.019420
</td>
<td>
0.002713
</td>
<td>
12.020
</td>
<td>
25.02
</td>
<td>
75.79
</td>
<td>
439.6
</td>
<td>
0.13330
</td>
<td>
0.10490
</td>
<td>
0.114400
</td>
<td>
0.050520
</td>
<td>
0.2454
</td>
<td>
0.08136
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
360
</th>
<td>
901034302
</td>
<td>
B
</td>
<td>
12.540
</td>
<td>
18.07
</td>
<td>
79.42
</td>
<td>
491.9
</td>
<td>
0.07436
</td>
<td>
0.02650
</td>
<td>
0.001194
</td>
<td>
0.005449
</td>
<td>
0.1528
</td>
<td>
0.05185
</td>
<td>
0.3511
</td>
<td>
0.9527
</td>
<td>
2.3290
</td>
<td>
28.300
</td>
<td>
0.005783
</td>
<td>
0.004693
</td>
<td>
0.000793
</td>
<td>
0.003617
</td>
<td>
0.020430
</td>
<td>
0.001058
</td>
<td>
13.720
</td>
<td>
20.98
</td>
<td>
86.82
</td>
<td>
585.7
</td>
<td>
0.09293
</td>
<td>
0.04327
</td>
<td>
0.003581
</td>
<td>
0.016350
</td>
<td>
0.2233
</td>
<td>
0.05521
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
361
</th>
<td>
901041
</td>
<td>
B
</td>
<td>
13.300
</td>
<td>
21.57
</td>
<td>
85.24
</td>
<td>
546.1
</td>
<td>
0.08582
</td>
<td>
0.06373
</td>
<td>
0.033440
</td>
<td>
0.024240
</td>
<td>
0.1815
</td>
<td>
0.05696
</td>
<td>
0.2621
</td>
<td>
1.5390
</td>
<td>
2.0280
</td>
<td>
20.980
</td>
<td>
0.005498
</td>
<td>
0.020450
</td>
<td>
0.017950
</td>
<td>
0.006399
</td>
<td>
0.018290
</td>
<td>
0.001956
</td>
<td>
14.200
</td>
<td>
29.20
</td>
<td>
92.94
</td>
<td>
621.2
</td>
<td>
0.11400
</td>
<td>
0.16670
</td>
<td>
0.121200
</td>
<td>
0.056140
</td>
<td>
0.2637
</td>
<td>
0.06658
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
362
</th>
<td>
9010598
</td>
<td>
B
</td>
<td>
12.760
</td>
<td>
18.84
</td>
<td>
81.87
</td>
<td>
496.6
</td>
<td>
0.09676
</td>
<td>
0.07952
</td>
<td>
0.026880
</td>
<td>
0.017810
</td>
<td>
0.1759
</td>
<td>
0.06183
</td>
<td>
0.2213
</td>
<td>
1.2850
</td>
<td>
1.5350
</td>
<td>
17.260
</td>
<td>
0.005608
</td>
<td>
0.016460
</td>
<td>
0.015290
</td>
<td>
0.009997
</td>
<td>
0.019090
</td>
<td>
0.002133
</td>
<td>
13.750
</td>
<td>
25.99
</td>
<td>
87.82
</td>
<td>
579.7
</td>
<td>
0.12980
</td>
<td>
0.18390
</td>
<td>
0.125500
</td>
<td>
0.083120
</td>
<td>
0.2744
</td>
<td>
0.07238
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
363
</th>
<td>
9010872
</td>
<td>
B
</td>
<td>
16.500
</td>
<td>
18.29
</td>
<td>
106.60
</td>
<td>
838.1
</td>
<td>
0.09686
</td>
<td>
0.08468
</td>
<td>
0.058620
</td>
<td>
0.048350
</td>
<td>
0.1495
</td>
<td>
0.05593
</td>
<td>
0.3389
</td>
<td>
1.4390
</td>
<td>
2.3440
</td>
<td>
33.580
</td>
<td>
0.007257
</td>
<td>
0.018050
</td>
<td>
0.018320
</td>
<td>
0.010330
</td>
<td>
0.016940
</td>
<td>
0.002001
</td>
<td>
18.130
</td>
<td>
25.45
</td>
<td>
117.20
</td>
<td>
1009.0
</td>
<td>
0.13380
</td>
<td>
0.16790
</td>
<td>
0.166300
</td>
<td>
0.091230
</td>
<td>
0.2394
</td>
<td>
0.06469
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
364
</th>
<td>
9010877
</td>
<td>
B
</td>
<td>
13.400
</td>
<td>
16.95
</td>
<td>
85.48
</td>
<td>
552.4
</td>
<td>
0.07937
</td>
<td>
0.05696
</td>
<td>
0.021810
</td>
<td>
0.014730
</td>
<td>
0.1650
</td>
<td>
0.05701
</td>
<td>
0.1584
</td>
<td>
0.6124
</td>
<td>
1.0360
</td>
<td>
13.220
</td>
<td>
0.004394
</td>
<td>
0.012500
</td>
<td>
0.014510
</td>
<td>
0.005484
</td>
<td>
0.012910
</td>
<td>
0.002074
</td>
<td>
14.730
</td>
<td>
21.70
</td>
<td>
93.76
</td>
<td>
663.5
</td>
<td>
0.12130
</td>
<td>
0.16760
</td>
<td>
0.136400
</td>
<td>
0.069870
</td>
<td>
0.2741
</td>
<td>
0.07582
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
365
</th>
<td>
901088
</td>
<td>
M
</td>
<td>
20.440
</td>
<td>
21.78
</td>
<td>
133.80
</td>
<td>
1293.0
</td>
<td>
0.09150
</td>
<td>
0.11310
</td>
<td>
0.097990
</td>
<td>
0.077850
</td>
<td>
0.1618
</td>
<td>
0.05557
</td>
<td>
0.5781
</td>
<td>
0.9168
</td>
<td>
4.2180
</td>
<td>
72.440
</td>
<td>
0.006208
</td>
<td>
0.019060
</td>
<td>
0.023750
</td>
<td>
0.014610
</td>
<td>
0.014450
</td>
<td>
0.001906
</td>
<td>
24.310
</td>
<td>
26.37
</td>
<td>
161.20
</td>
<td>
1780.0
</td>
<td>
0.13270
</td>
<td>
0.23760
</td>
<td>
0.270200
</td>
<td>
0.176500
</td>
<td>
0.2609
</td>
<td>
0.06735
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
366
</th>
<td>
9011494
</td>
<td>
M
</td>
<td>
20.200
</td>
<td>
26.83
</td>
<td>
133.70
</td>
<td>
1234.0
</td>
<td>
0.09905
</td>
<td>
0.16690
</td>
<td>
0.164100
</td>
<td>
0.126500
</td>
<td>
0.1875
</td>
<td>
0.06020
</td>
<td>
0.9761
</td>
<td>
1.8920
</td>
<td>
7.1280
</td>
<td>
103.600
</td>
<td>
0.008439
</td>
<td>
0.046740
</td>
<td>
0.059040
</td>
<td>
0.025360
</td>
<td>
0.037100
</td>
<td>
0.004286
</td>
<td>
24.190
</td>
<td>
33.81
</td>
<td>
160.00
</td>
<td>
1671.0
</td>
<td>
0.12780
</td>
<td>
0.34160
</td>
<td>
0.370300
</td>
<td>
0.215200
</td>
<td>
0.3271
</td>
<td>
0.07632
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
367
</th>
<td>
9011495
</td>
<td>
B
</td>
<td>
12.210
</td>
<td>
18.02
</td>
<td>
78.31
</td>
<td>
458.4
</td>
<td>
0.09231
</td>
<td>
0.07175
</td>
<td>
0.043920
</td>
<td>
0.020270
</td>
<td>
0.1695
</td>
<td>
0.05916
</td>
<td>
0.2527
</td>
<td>
0.7786
</td>
<td>
1.8740
</td>
<td>
18.570
</td>
<td>
0.005833
</td>
<td>
0.013880
</td>
<td>
0.020000
</td>
<td>
0.007087
</td>
<td>
0.019380
</td>
<td>
0.001960
</td>
<td>
14.290
</td>
<td>
24.04
</td>
<td>
93.85
</td>
<td>
624.6
</td>
<td>
0.13680
</td>
<td>
0.21700
</td>
<td>
0.241300
</td>
<td>
0.088290
</td>
<td>
0.3218
</td>
<td>
0.07470
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
368
</th>
<td>
9011971
</td>
<td>
M
</td>
<td>
21.710
</td>
<td>
17.25
</td>
<td>
140.90
</td>
<td>
1546.0
</td>
<td>
0.09384
</td>
<td>
0.08562
</td>
<td>
0.116800
</td>
<td>
0.084650
</td>
<td>
0.1717
</td>
<td>
0.05054
</td>
<td>
1.2070
</td>
<td>
1.0510
</td>
<td>
7.7330
</td>
<td>
224.100
</td>
<td>
0.005568
</td>
<td>
0.011120
</td>
<td>
0.020960
</td>
<td>
0.011970
</td>
<td>
0.012630
</td>
<td>
0.001803
</td>
<td>
30.750
</td>
<td>
26.44
</td>
<td>
199.50
</td>
<td>
3143.0
</td>
<td>
0.13630
</td>
<td>
0.16280
</td>
<td>
0.286100
</td>
<td>
0.182000
</td>
<td>
0.2510
</td>
<td>
0.06494
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
369
</th>
<td>
9012000
</td>
<td>
M
</td>
<td>
22.010
</td>
<td>
21.90
</td>
<td>
147.20
</td>
<td>
1482.0
</td>
<td>
0.10630
</td>
<td>
0.19540
</td>
<td>
0.244800
</td>
<td>
0.150100
</td>
<td>
0.1824
</td>
<td>
0.06140
</td>
<td>
1.0080
</td>
<td>
0.6999
</td>
<td>
7.5610
</td>
<td>
130.200
</td>
<td>
0.003978
</td>
<td>
0.028210
</td>
<td>
0.035760
</td>
<td>
0.014710
</td>
<td>
0.015180
</td>
<td>
0.003796
</td>
<td>
27.660
</td>
<td>
25.80
</td>
<td>
195.00
</td>
<td>
2227.0
</td>
<td>
0.12940
</td>
<td>
0.38850
</td>
<td>
0.475600
</td>
<td>
0.243200
</td>
<td>
0.2741
</td>
<td>
0.08574
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
370
</th>
<td>
9012315
</td>
<td>
M
</td>
<td>
16.350
</td>
<td>
23.29
</td>
<td>
109.00
</td>
<td>
840.4
</td>
<td>
0.09742
</td>
<td>
0.14970
</td>
<td>
0.181100
</td>
<td>
0.087730
</td>
<td>
0.2175
</td>
<td>
0.06218
</td>
<td>
0.4312
</td>
<td>
1.0220
</td>
<td>
2.9720
</td>
<td>
45.500
</td>
<td>
0.005635
</td>
<td>
0.039170
</td>
<td>
0.060720
</td>
<td>
0.016560
</td>
<td>
0.031970
</td>
<td>
0.004085
</td>
<td>
19.380
</td>
<td>
31.03
</td>
<td>
129.30
</td>
<td>
1165.0
</td>
<td>
0.14150
</td>
<td>
0.46650
</td>
<td>
0.708700
</td>
<td>
0.224800
</td>
<td>
0.4824
</td>
<td>
0.09614
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
371
</th>
<td>
9012568
</td>
<td>
B
</td>
<td>
15.190
</td>
<td>
13.21
</td>
<td>
97.65
</td>
<td>
711.8
</td>
<td>
0.07963
</td>
<td>
0.06934
</td>
<td>
0.033930
</td>
<td>
0.026570
</td>
<td>
0.1721
</td>
<td>
0.05544
</td>
<td>
0.1783
</td>
<td>
0.4125
</td>
<td>
1.3380
</td>
<td>
17.720
</td>
<td>
0.005012
</td>
<td>
0.014850
</td>
<td>
0.015510
</td>
<td>
0.009155
</td>
<td>
0.016470
</td>
<td>
0.001767
</td>
<td>
16.200
</td>
<td>
15.73
</td>
<td>
104.50
</td>
<td>
819.1
</td>
<td>
0.11260
</td>
<td>
0.17370
</td>
<td>
0.136200
</td>
<td>
0.081780
</td>
<td>
0.2487
</td>
<td>
0.06766
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
372
</th>
<td>
9012795
</td>
<td>
M
</td>
<td>
21.370
</td>
<td>
15.10
</td>
<td>
141.30
</td>
<td>
1386.0
</td>
<td>
0.10010
</td>
<td>
0.15150
</td>
<td>
0.193200
</td>
<td>
0.125500
</td>
<td>
0.1973
</td>
<td>
0.06183
</td>
<td>
0.3414
</td>
<td>
1.3090
</td>
<td>
2.4070
</td>
<td>
39.060
</td>
<td>
0.004426
</td>
<td>
0.026750
</td>
<td>
0.034370
</td>
<td>
0.013430
</td>
<td>
0.016750
</td>
<td>
0.004367
</td>
<td>
22.690
</td>
<td>
21.84
</td>
<td>
152.10
</td>
<td>
1535.0
</td>
<td>
0.11920
</td>
<td>
0.28400
</td>
<td>
0.402400
</td>
<td>
0.196600
</td>
<td>
0.2730
</td>
<td>
0.08666
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
373
</th>
<td>
901288
</td>
<td>
M
</td>
<td>
20.640
</td>
<td>
17.35
</td>
<td>
134.80
</td>
<td>
1335.0
</td>
<td>
0.09446
</td>
<td>
0.10760
</td>
<td>
0.152700
</td>
<td>
0.089410
</td>
<td>
0.1571
</td>
<td>
0.05478
</td>
<td>
0.6137
</td>
<td>
0.6575
</td>
<td>
4.1190
</td>
<td>
77.020
</td>
<td>
0.006211
</td>
<td>
0.018950
</td>
<td>
0.026810
</td>
<td>
0.012320
</td>
<td>
0.012760
</td>
<td>
0.001711
</td>
<td>
25.370
</td>
<td>
23.17
</td>
<td>
166.80
</td>
<td>
1946.0
</td>
<td>
0.15620
</td>
<td>
0.30550
</td>
<td>
0.415900
</td>
<td>
0.211200
</td>
<td>
0.2689
</td>
<td>
0.07055
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
374
</th>
<td>
9013005
</td>
<td>
B
</td>
<td>
13.690
</td>
<td>
16.07
</td>
<td>
87.84
</td>
<td>
579.1
</td>
<td>
0.08302
</td>
<td>
0.06374
</td>
<td>
0.025560
</td>
<td>
0.020310
</td>
<td>
0.1872
</td>
<td>
0.05669
</td>
<td>
0.1705
</td>
<td>
0.5066
</td>
<td>
1.3720
</td>
<td>
14.000
</td>
<td>
0.004230
</td>
<td>
0.015870
</td>
<td>
0.011690
</td>
<td>
0.006335
</td>
<td>
0.019430
</td>
<td>
0.002177
</td>
<td>
14.840
</td>
<td>
20.21
</td>
<td>
99.16
</td>
<td>
670.6
</td>
<td>
0.11050
</td>
<td>
0.20960
</td>
<td>
0.134600
</td>
<td>
0.069870
</td>
<td>
0.3323
</td>
<td>
0.07701
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
375
</th>
<td>
901303
</td>
<td>
B
</td>
<td>
16.170
</td>
<td>
16.07
</td>
<td>
106.30
</td>
<td>
788.5
</td>
<td>
0.09880
</td>
<td>
0.14380
</td>
<td>
0.066510
</td>
<td>
0.053970
</td>
<td>
0.1990
</td>
<td>
0.06572
</td>
<td>
0.1745
</td>
<td>
0.4890
</td>
<td>
1.3490
</td>
<td>
14.910
</td>
<td>
0.004510
</td>
<td>
0.018120
</td>
<td>
0.019510
</td>
<td>
0.011960
</td>
<td>
0.019340
</td>
<td>
0.003696
</td>
<td>
16.970
</td>
<td>
19.14
</td>
<td>
113.10
</td>
<td>
861.5
</td>
<td>
0.12350
</td>
<td>
0.25500
</td>
<td>
0.211400
</td>
<td>
0.125100
</td>
<td>
0.3153
</td>
<td>
0.08960
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
376
</th>
<td>
901315
</td>
<td>
B
</td>
<td>
10.570
</td>
<td>
20.22
</td>
<td>
70.15
</td>
<td>
338.3
</td>
<td>
0.09073
</td>
<td>
0.16600
</td>
<td>
0.228000
</td>
<td>
0.059410
</td>
<td>
0.2188
</td>
<td>
0.08450
</td>
<td>
0.1115
</td>
<td>
1.2310
</td>
<td>
2.3630
</td>
<td>
7.228
</td>
<td>
0.008499
</td>
<td>
0.076430
</td>
<td>
0.153500
</td>
<td>
0.029190
</td>
<td>
0.016170
</td>
<td>
0.012200
</td>
<td>
10.850
</td>
<td>
22.82
</td>
<td>
76.51
</td>
<td>
351.9
</td>
<td>
0.11430
</td>
<td>
0.36190
</td>
<td>
0.603000
</td>
<td>
0.146500
</td>
<td>
0.2597
</td>
<td>
0.12000
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
377
</th>
<td>
9013579
</td>
<td>
B
</td>
<td>
13.460
</td>
<td>
28.21
</td>
<td>
85.89
</td>
<td>
562.1
</td>
<td>
0.07517
</td>
<td>
0.04726
</td>
<td>
0.012710
</td>
<td>
0.011170
</td>
<td>
0.1421
</td>
<td>
0.05763
</td>
<td>
0.1689
</td>
<td>
1.1500
</td>
<td>
1.4000
</td>
<td>
14.910
</td>
<td>
0.004942
</td>
<td>
0.012030
</td>
<td>
0.007508
</td>
<td>
0.005179
</td>
<td>
0.014420
</td>
<td>
0.001684
</td>
<td>
14.690
</td>
<td>
35.63
</td>
<td>
97.11
</td>
<td>
680.6
</td>
<td>
0.11080
</td>
<td>
0.14570
</td>
<td>
0.079340
</td>
<td>
0.057810
</td>
<td>
0.2694
</td>
<td>
0.07061
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
378
</th>
<td>
9013594
</td>
<td>
B
</td>
<td>
13.660
</td>
<td>
15.15
</td>
<td>
88.27
</td>
<td>
580.6
</td>
<td>
0.08268
</td>
<td>
0.07548
</td>
<td>
0.042490
</td>
<td>
0.024710
</td>
<td>
0.1792
</td>
<td>
0.05897
</td>
<td>
0.1402
</td>
<td>
0.5417
</td>
<td>
1.1010
</td>
<td>
11.350
</td>
<td>
0.005212
</td>
<td>
0.029840
</td>
<td>
0.024430
</td>
<td>
0.008356
</td>
<td>
0.018180
</td>
<td>
0.004868
</td>
<td>
14.540
</td>
<td>
19.64
</td>
<td>
97.96
</td>
<td>
657.0
</td>
<td>
0.12750
</td>
<td>
0.31040
</td>
<td>
0.256900
</td>
<td>
0.105400
</td>
<td>
0.3387
</td>
<td>
0.09638
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
379
</th>
<td>
9013838
</td>
<td>
M
</td>
<td>
11.080
</td>
<td>
18.83
</td>
<td>
73.30
</td>
<td>
361.6
</td>
<td>
0.12160
</td>
<td>
0.21540
</td>
<td>
0.168900
</td>
<td>
0.063670
</td>
<td>
0.2196
</td>
<td>
0.07950
</td>
<td>
0.2114
</td>
<td>
1.0270
</td>
<td>
1.7190
</td>
<td>
13.990
</td>
<td>
0.007405
</td>
<td>
0.045490
</td>
<td>
0.045880
</td>
<td>
0.013390
</td>
<td>
0.017380
</td>
<td>
0.004435
</td>
<td>
13.240
</td>
<td>
32.82
</td>
<td>
91.76
</td>
<td>
508.1
</td>
<td>
0.21840
</td>
<td>
0.93790
</td>
<td>
0.840200
</td>
<td>
0.252400
</td>
<td>
0.4154
</td>
<td>
0.14030
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
380
</th>
<td>
901549
</td>
<td>
B
</td>
<td>
11.270
</td>
<td>
12.96
</td>
<td>
73.16
</td>
<td>
386.3
</td>
<td>
0.12370
</td>
<td>
0.11110
</td>
<td>
0.079000
</td>
<td>
0.055500
</td>
<td>
0.2018
</td>
<td>
0.06914
</td>
<td>
0.2562
</td>
<td>
0.9858
</td>
<td>
1.8090
</td>
<td>
16.040
</td>
<td>
0.006635
</td>
<td>
0.017770
</td>
<td>
0.021010
</td>
<td>
0.011640
</td>
<td>
0.021080
</td>
<td>
0.003721
</td>
<td>
12.840
</td>
<td>
20.53
</td>
<td>
84.93
</td>
<td>
476.1
</td>
<td>
0.16100
</td>
<td>
0.24290
</td>
<td>
0.224700
</td>
<td>
0.131800
</td>
<td>
0.3343
</td>
<td>
0.09215
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
381
</th>
<td>
901836
</td>
<td>
B
</td>
<td>
11.040
</td>
<td>
14.93
</td>
<td>
70.67
</td>
<td>
372.7
</td>
<td>
0.07987
</td>
<td>
0.07079
</td>
<td>
0.035460
</td>
<td>
0.020740
</td>
<td>
0.2003
</td>
<td>
0.06246
</td>
<td>
0.1642
</td>
<td>
1.0310
</td>
<td>
1.2810
</td>
<td>
11.680
</td>
<td>
0.005296
</td>
<td>
0.019030
</td>
<td>
0.017230
</td>
<td>
0.006960
</td>
<td>
0.018800
</td>
<td>
0.001941
</td>
<td>
12.090
</td>
<td>
20.83
</td>
<td>
79.73
</td>
<td>
447.1
</td>
<td>
0.10950
</td>
<td>
0.19820
</td>
<td>
0.155300
</td>
<td>
0.067540
</td>
<td>
0.3202
</td>
<td>
0.07287
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
382
</th>
<td>
90250
</td>
<td>
B
</td>
<td>
12.050
</td>
<td>
22.72
</td>
<td>
78.75
</td>
<td>
447.8
</td>
<td>
0.06935
</td>
<td>
0.10730
</td>
<td>
0.079430
</td>
<td>
0.029780
</td>
<td>
0.1203
</td>
<td>
0.06659
</td>
<td>
0.1194
</td>
<td>
1.4340
</td>
<td>
1.7780
</td>
<td>
9.549
</td>
<td>
0.005042
</td>
<td>
0.045600
</td>
<td>
0.043050
</td>
<td>
0.016670
</td>
<td>
0.024700
</td>
<td>
0.007358
</td>
<td>
12.570
</td>
<td>
28.71
</td>
<td>
87.36
</td>
<td>
488.4
</td>
<td>
0.08799
</td>
<td>
0.32140
</td>
<td>
0.291200
</td>
<td>
0.109200
</td>
<td>
0.2191
</td>
<td>
0.09349
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
383
</th>
<td>
90251
</td>
<td>
B
</td>
<td>
12.390
</td>
<td>
17.48
</td>
<td>
80.64
</td>
<td>
462.9
</td>
<td>
0.10420
</td>
<td>
0.12970
</td>
<td>
0.058920
</td>
<td>
0.028800
</td>
<td>
0.1779
</td>
<td>
0.06588
</td>
<td>
0.2608
</td>
<td>
0.8730
</td>
<td>
2.1170
</td>
<td>
19.200
</td>
<td>
0.006715
</td>
<td>
0.037050
</td>
<td>
0.047570
</td>
<td>
0.010510
</td>
<td>
0.018380
</td>
<td>
0.006884
</td>
<td>
14.180
</td>
<td>
23.13
</td>
<td>
95.23
</td>
<td>
600.5
</td>
<td>
0.14270
</td>
<td>
0.35930
</td>
<td>
0.320600
</td>
<td>
0.098040
</td>
<td>
0.2819
</td>
<td>
0.11180
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
384
</th>
<td>
902727
</td>
<td>
B
</td>
<td>
13.280
</td>
<td>
13.72
</td>
<td>
85.79
</td>
<td>
541.8
</td>
<td>
0.08363
</td>
<td>
0.08575
</td>
<td>
0.050770
</td>
<td>
0.028640
</td>
<td>
0.1617
</td>
<td>
0.05594
</td>
<td>
0.1833
</td>
<td>
0.5308
</td>
<td>
1.5920
</td>
<td>
15.260
</td>
<td>
0.004271
</td>
<td>
0.020730
</td>
<td>
0.028280
</td>
<td>
0.008468
</td>
<td>
0.014610
</td>
<td>
0.002613
</td>
<td>
14.240
</td>
<td>
17.37
</td>
<td>
96.59
</td>
<td>
623.7
</td>
<td>
0.11660
</td>
<td>
0.26850
</td>
<td>
0.286600
</td>
<td>
0.091730
</td>
<td>
0.2736
</td>
<td>
0.07320
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
385
</th>
<td>
90291
</td>
<td>
M
</td>
<td>
14.600
</td>
<td>
23.29
</td>
<td>
93.97
</td>
<td>
664.7
</td>
<td>
0.08682
</td>
<td>
0.06636
</td>
<td>
0.083900
</td>
<td>
0.052710
</td>
<td>
0.1627
</td>
<td>
0.05416
</td>
<td>
0.4157
</td>
<td>
1.6270
</td>
<td>
2.9140
</td>
<td>
33.010
</td>
<td>
0.008312
</td>
<td>
0.017420
</td>
<td>
0.033890
</td>
<td>
0.015760
</td>
<td>
0.017400
</td>
<td>
0.002871
</td>
<td>
15.790
</td>
<td>
31.71
</td>
<td>
102.20
</td>
<td>
758.2
</td>
<td>
0.13120
</td>
<td>
0.15810
</td>
<td>
0.267500
</td>
<td>
0.135900
</td>
<td>
0.2477
</td>
<td>
0.06836
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
386
</th>
<td>
902975
</td>
<td>
B
</td>
<td>
12.210
</td>
<td>
14.09
</td>
<td>
78.78
</td>
<td>
462.0
</td>
<td>
0.08108
</td>
<td>
0.07823
</td>
<td>
0.068390
</td>
<td>
0.025340
</td>
<td>
0.1646
</td>
<td>
0.06154
</td>
<td>
0.2666
</td>
<td>
0.8309
</td>
<td>
2.0970
</td>
<td>
19.960
</td>
<td>
0.004405
</td>
<td>
0.030260
</td>
<td>
0.043440
</td>
<td>
0.010870
</td>
<td>
0.019210
</td>
<td>
0.004622
</td>
<td>
13.130
</td>
<td>
19.29
</td>
<td>
87.65
</td>
<td>
529.9
</td>
<td>
0.10260
</td>
<td>
0.24310
</td>
<td>
0.307600
</td>
<td>
0.091400
</td>
<td>
0.2677
</td>
<td>
0.08824
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
387
</th>
<td>
902976
</td>
<td>
B
</td>
<td>
13.880
</td>
<td>
16.16
</td>
<td>
88.37
</td>
<td>
596.6
</td>
<td>
0.07026
</td>
<td>
0.04831
</td>
<td>
0.020450
</td>
<td>
0.008507
</td>
<td>
0.1607
</td>
<td>
0.05474
</td>
<td>
0.2541
</td>
<td>
0.6218
</td>
<td>
1.7090
</td>
<td>
23.120
</td>
<td>
0.003728
</td>
<td>
0.014150
</td>
<td>
0.019880
</td>
<td>
0.007016
</td>
<td>
0.016470
</td>
<td>
0.001970
</td>
<td>
15.510
</td>
<td>
19.97
</td>
<td>
99.66
</td>
<td>
745.3
</td>
<td>
0.08484
</td>
<td>
0.12330
</td>
<td>
0.109100
</td>
<td>
0.045370
</td>
<td>
0.2542
</td>
<td>
0.06623
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
388
</th>
<td>
903011
</td>
<td>
B
</td>
<td>
11.270
</td>
<td>
15.50
</td>
<td>
73.38
</td>
<td>
392.0
</td>
<td>
0.08365
</td>
<td>
0.11140
</td>
<td>
0.100700
</td>
<td>
0.027570
</td>
<td>
0.1810
</td>
<td>
0.07252
</td>
<td>
0.3305
</td>
<td>
1.0670
</td>
<td>
2.5690
</td>
<td>
22.970
</td>
<td>
0.010380
</td>
<td>
0.066690
</td>
<td>
0.094720
</td>
<td>
0.020470
</td>
<td>
0.012190
</td>
<td>
0.012330
</td>
<td>
12.040
</td>
<td>
18.93
</td>
<td>
79.73
</td>
<td>
450.0
</td>
<td>
0.11020
</td>
<td>
0.28090
</td>
<td>
0.302100
</td>
<td>
0.082720
</td>
<td>
0.2157
</td>
<td>
0.10430
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
389
</th>
<td>
90312
</td>
<td>
M
</td>
<td>
19.550
</td>
<td>
23.21
</td>
<td>
128.90
</td>
<td>
1174.0
</td>
<td>
0.10100
</td>
<td>
0.13180
</td>
<td>
0.185600
</td>
<td>
0.102100
</td>
<td>
0.1989
</td>
<td>
0.05884
</td>
<td>
0.6107
</td>
<td>
2.8360
</td>
<td>
5.3830
</td>
<td>
70.100
</td>
<td>
0.011240
</td>
<td>
0.040970
</td>
<td>
0.074690
</td>
<td>
0.034410
</td>
<td>
0.027680
</td>
<td>
0.006240
</td>
<td>
20.820
</td>
<td>
30.44
</td>
<td>
142.00
</td>
<td>
1313.0
</td>
<td>
0.12510
</td>
<td>
0.24140
</td>
<td>
0.382900
</td>
<td>
0.182500
</td>
<td>
0.2576
</td>
<td>
0.07602
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
390
</th>
<td>
90317302
</td>
<td>
B
</td>
<td>
10.260
</td>
<td>
12.22
</td>
<td>
65.75
</td>
<td>
321.6
</td>
<td>
0.09996
</td>
<td>
0.07542
</td>
<td>
0.019230
</td>
<td>
0.019680
</td>
<td>
0.1800
</td>
<td>
0.06569
</td>
<td>
0.1911
</td>
<td>
0.5477
</td>
<td>
1.3480
</td>
<td>
11.880
</td>
<td>
0.005682
</td>
<td>
0.013650
</td>
<td>
0.008496
</td>
<td>
0.006929
</td>
<td>
0.019380
</td>
<td>
0.002371
</td>
<td>
11.380
</td>
<td>
15.65
</td>
<td>
73.23
</td>
<td>
394.5
</td>
<td>
0.13430
</td>
<td>
0.16500
</td>
<td>
0.086150
</td>
<td>
0.066960
</td>
<td>
0.2937
</td>
<td>
0.07722
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
391
</th>
<td>
903483
</td>
<td>
B
</td>
<td>
8.734
</td>
<td>
16.84
</td>
<td>
55.27
</td>
<td>
234.3
</td>
<td>
0.10390
</td>
<td>
0.07428
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1985
</td>
<td>
0.07098
</td>
<td>
0.5169
</td>
<td>
2.0790
</td>
<td>
3.1670
</td>
<td>
28.850
</td>
<td>
0.015820
</td>
<td>
0.019660
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.018650
</td>
<td>
0.006736
</td>
<td>
10.170
</td>
<td>
22.80
</td>
<td>
64.01
</td>
<td>
317.0
</td>
<td>
0.14600
</td>
<td>
0.13100
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2445
</td>
<td>
0.08865
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
392
</th>
<td>
903507
</td>
<td>
M
</td>
<td>
15.490
</td>
<td>
19.97
</td>
<td>
102.40
</td>
<td>
744.7
</td>
<td>
0.11600
</td>
<td>
0.15620
</td>
<td>
0.189100
</td>
<td>
0.091130
</td>
<td>
0.1929
</td>
<td>
0.06744
</td>
<td>
0.6470
</td>
<td>
1.3310
</td>
<td>
4.6750
</td>
<td>
66.910
</td>
<td>
0.007269
</td>
<td>
0.029280
</td>
<td>
0.049720
</td>
<td>
0.016390
</td>
<td>
0.018520
</td>
<td>
0.004232
</td>
<td>
21.200
</td>
<td>
29.41
</td>
<td>
142.10
</td>
<td>
1359.0
</td>
<td>
0.16810
</td>
<td>
0.39130
</td>
<td>
0.555300
</td>
<td>
0.212100
</td>
<td>
0.3187
</td>
<td>
0.10190
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
393
</th>
<td>
903516
</td>
<td>
M
</td>
<td>
21.610
</td>
<td>
22.28
</td>
<td>
144.40
</td>
<td>
1407.0
</td>
<td>
0.11670
</td>
<td>
0.20870
</td>
<td>
0.281000
</td>
<td>
0.156200
</td>
<td>
0.2162
</td>
<td>
0.06606
</td>
<td>
0.6242
</td>
<td>
0.9209
</td>
<td>
4.1580
</td>
<td>
80.990
</td>
<td>
0.005215
</td>
<td>
0.037260
</td>
<td>
0.047180
</td>
<td>
0.012880
</td>
<td>
0.020450
</td>
<td>
0.004028
</td>
<td>
26.230
</td>
<td>
28.74
</td>
<td>
172.00
</td>
<td>
2081.0
</td>
<td>
0.15020
</td>
<td>
0.57170
</td>
<td>
0.705300
</td>
<td>
0.242200
</td>
<td>
0.3828
</td>
<td>
0.10070
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
394
</th>
<td>
903554
</td>
<td>
B
</td>
<td>
12.100
</td>
<td>
17.72
</td>
<td>
78.07
</td>
<td>
446.2
</td>
<td>
0.10290
</td>
<td>
0.09758
</td>
<td>
0.047830
</td>
<td>
0.033260
</td>
<td>
0.1937
</td>
<td>
0.06161
</td>
<td>
0.2841
</td>
<td>
1.6520
</td>
<td>
1.8690
</td>
<td>
22.220
</td>
<td>
0.008146
</td>
<td>
0.016310
</td>
<td>
0.018430
</td>
<td>
0.007513
</td>
<td>
0.020150
</td>
<td>
0.001798
</td>
<td>
13.560
</td>
<td>
25.80
</td>
<td>
88.33
</td>
<td>
559.5
</td>
<td>
0.14320
</td>
<td>
0.17730
</td>
<td>
0.160300
</td>
<td>
0.062660
</td>
<td>
0.3049
</td>
<td>
0.07081
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
395
</th>
<td>
903811
</td>
<td>
B
</td>
<td>
14.060
</td>
<td>
17.18
</td>
<td>
89.75
</td>
<td>
609.1
</td>
<td>
0.08045
</td>
<td>
0.05361
</td>
<td>
0.026810
</td>
<td>
0.032510
</td>
<td>
0.1641
</td>
<td>
0.05764
</td>
<td>
0.1504
</td>
<td>
1.6850
</td>
<td>
1.2370
</td>
<td>
12.670
</td>
<td>
0.005371
</td>
<td>
0.012730
</td>
<td>
0.011320
</td>
<td>
0.009155
</td>
<td>
0.017190
</td>
<td>
0.001444
</td>
<td>
14.920
</td>
<td>
25.34
</td>
<td>
96.42
</td>
<td>
684.5
</td>
<td>
0.10660
</td>
<td>
0.12310
</td>
<td>
0.084600
</td>
<td>
0.079110
</td>
<td>
0.2523
</td>
<td>
0.06609
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
396
</th>
<td>
90401601
</td>
<td>
B
</td>
<td>
13.510
</td>
<td>
18.89
</td>
<td>
88.10
</td>
<td>
558.1
</td>
<td>
0.10590
</td>
<td>
0.11470
</td>
<td>
0.085800
</td>
<td>
0.053810
</td>
<td>
0.1806
</td>
<td>
0.06079
</td>
<td>
0.2136
</td>
<td>
1.3320
</td>
<td>
1.5130
</td>
<td>
19.290
</td>
<td>
0.005442
</td>
<td>
0.019570
</td>
<td>
0.033040
</td>
<td>
0.013670
</td>
<td>
0.013150
</td>
<td>
0.002464
</td>
<td>
14.800
</td>
<td>
27.20
</td>
<td>
97.33
</td>
<td>
675.2
</td>
<td>
0.14280
</td>
<td>
0.25700
</td>
<td>
0.343800
</td>
<td>
0.145300
</td>
<td>
0.2666
</td>
<td>
0.07686
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
397
</th>
<td>
90401602
</td>
<td>
B
</td>
<td>
12.800
</td>
<td>
17.46
</td>
<td>
83.05
</td>
<td>
508.3
</td>
<td>
0.08044
</td>
<td>
0.08895
</td>
<td>
0.073900
</td>
<td>
0.040830
</td>
<td>
0.1574
</td>
<td>
0.05750
</td>
<td>
0.3639
</td>
<td>
1.2650
</td>
<td>
2.6680
</td>
<td>
30.570
</td>
<td>
0.005421
</td>
<td>
0.034770
</td>
<td>
0.045450
</td>
<td>
0.013840
</td>
<td>
0.018690
</td>
<td>
0.004067
</td>
<td>
13.740
</td>
<td>
21.06
</td>
<td>
90.72
</td>
<td>
591.0
</td>
<td>
0.09534
</td>
<td>
0.18120
</td>
<td>
0.190100
</td>
<td>
0.082960
</td>
<td>
0.1988
</td>
<td>
0.07053
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
398
</th>
<td>
904302
</td>
<td>
B
</td>
<td>
11.060
</td>
<td>
14.83
</td>
<td>
70.31
</td>
<td>
378.2
</td>
<td>
0.07741
</td>
<td>
0.04768
</td>
<td>
0.027120
</td>
<td>
0.007246
</td>
<td>
0.1535
</td>
<td>
0.06214
</td>
<td>
0.1855
</td>
<td>
0.6881
</td>
<td>
1.2630
</td>
<td>
12.980
</td>
<td>
0.004259
</td>
<td>
0.014690
</td>
<td>
0.019400
</td>
<td>
0.004168
</td>
<td>
0.011910
</td>
<td>
0.003537
</td>
<td>
12.680
</td>
<td>
20.35
</td>
<td>
80.79
</td>
<td>
496.7
</td>
<td>
0.11200
</td>
<td>
0.18790
</td>
<td>
0.207900
</td>
<td>
0.055560
</td>
<td>
0.2590
</td>
<td>
0.09158
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
399
</th>
<td>
904357
</td>
<td>
B
</td>
<td>
11.800
</td>
<td>
17.26
</td>
<td>
75.26
</td>
<td>
431.9
</td>
<td>
0.09087
</td>
<td>
0.06232
</td>
<td>
0.028530
</td>
<td>
0.016380
</td>
<td>
0.1847
</td>
<td>
0.06019
</td>
<td>
0.3438
</td>
<td>
1.1400
</td>
<td>
2.2250
</td>
<td>
25.060
</td>
<td>
0.005463
</td>
<td>
0.019640
</td>
<td>
0.020790
</td>
<td>
0.005398
</td>
<td>
0.014770
</td>
<td>
0.003071
</td>
<td>
13.450
</td>
<td>
24.49
</td>
<td>
86.00
</td>
<td>
562.0
</td>
<td>
0.12440
</td>
<td>
0.17260
</td>
<td>
0.144900
</td>
<td>
0.053560
</td>
<td>
0.2779
</td>
<td>
0.08121
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
400
</th>
<td>
90439701
</td>
<td>
M
</td>
<td>
17.910
</td>
<td>
21.02
</td>
<td>
124.40
</td>
<td>
994.0
</td>
<td>
0.12300
</td>
<td>
0.25760
</td>
<td>
0.318900
</td>
<td>
0.119800
</td>
<td>
0.2113
</td>
<td>
0.07115
</td>
<td>
0.4030
</td>
<td>
0.7747
</td>
<td>
3.1230
</td>
<td>
41.510
</td>
<td>
0.007159
</td>
<td>
0.037180
</td>
<td>
0.061650
</td>
<td>
0.010510
</td>
<td>
0.015910
</td>
<td>
0.005099
</td>
<td>
20.800
</td>
<td>
27.78
</td>
<td>
149.60
</td>
<td>
1304.0
</td>
<td>
0.18730
</td>
<td>
0.59170
</td>
<td>
0.903400
</td>
<td>
0.196400
</td>
<td>
0.3245
</td>
<td>
0.11980
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
401
</th>
<td>
904647
</td>
<td>
B
</td>
<td>
11.930
</td>
<td>
10.91
</td>
<td>
76.14
</td>
<td>
442.7
</td>
<td>
0.08872
</td>
<td>
0.05242
</td>
<td>
0.026060
</td>
<td>
0.017960
</td>
<td>
0.1601
</td>
<td>
0.05541
</td>
<td>
0.2522
</td>
<td>
1.0450
</td>
<td>
1.6490
</td>
<td>
18.950
</td>
<td>
0.006175
</td>
<td>
0.012040
</td>
<td>
0.013760
</td>
<td>
0.005832
</td>
<td>
0.010960
</td>
<td>
0.001857
</td>
<td>
13.800
</td>
<td>
20.14
</td>
<td>
87.64
</td>
<td>
589.5
</td>
<td>
0.13740
</td>
<td>
0.15750
</td>
<td>
0.151400
</td>
<td>
0.068760
</td>
<td>
0.2460
</td>
<td>
0.07262
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
402
</th>
<td>
904689
</td>
<td>
B
</td>
<td>
12.960
</td>
<td>
18.29
</td>
<td>
84.18
</td>
<td>
525.2
</td>
<td>
0.07351
</td>
<td>
0.07899
</td>
<td>
0.040570
</td>
<td>
0.018830
</td>
<td>
0.1874
</td>
<td>
0.05899
</td>
<td>
0.2357
</td>
<td>
1.2990
</td>
<td>
2.3970
</td>
<td>
20.210
</td>
<td>
0.003629
</td>
<td>
0.037130
</td>
<td>
0.034520
</td>
<td>
0.010650
</td>
<td>
0.026320
</td>
<td>
0.003705
</td>
<td>
14.130
</td>
<td>
24.61
</td>
<td>
96.31
</td>
<td>
621.9
</td>
<td>
0.09329
</td>
<td>
0.23180
</td>
<td>
0.160400
</td>
<td>
0.066080
</td>
<td>
0.3207
</td>
<td>
0.07247
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
403
</th>
<td>
9047
</td>
<td>
B
</td>
<td>
12.940
</td>
<td>
16.17
</td>
<td>
83.18
</td>
<td>
507.6
</td>
<td>
0.09879
</td>
<td>
0.08836
</td>
<td>
0.032960
</td>
<td>
0.023900
</td>
<td>
0.1735
</td>
<td>
0.06200
</td>
<td>
0.1458
</td>
<td>
0.9050
</td>
<td>
0.9975
</td>
<td>
11.360
</td>
<td>
0.002887
</td>
<td>
0.012850
</td>
<td>
0.016130
</td>
<td>
0.007308
</td>
<td>
0.018700
</td>
<td>
0.001972
</td>
<td>
13.860
</td>
<td>
23.02
</td>
<td>
89.69
</td>
<td>
580.9
</td>
<td>
0.11720
</td>
<td>
0.19580
</td>
<td>
0.181000
</td>
<td>
0.083880
</td>
<td>
0.3297
</td>
<td>
0.07834
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
404
</th>
<td>
904969
</td>
<td>
B
</td>
<td>
12.340
</td>
<td>
14.95
</td>
<td>
78.29
</td>
<td>
469.1
</td>
<td>
0.08682
</td>
<td>
0.04571
</td>
<td>
0.021090
</td>
<td>
0.020540
</td>
<td>
0.1571
</td>
<td>
0.05708
</td>
<td>
0.3833
</td>
<td>
0.9078
</td>
<td>
2.6020
</td>
<td>
30.150
</td>
<td>
0.007702
</td>
<td>
0.008491
</td>
<td>
0.013070
</td>
<td>
0.010300
</td>
<td>
0.029700
</td>
<td>
0.001432
</td>
<td>
13.180
</td>
<td>
16.85
</td>
<td>
84.11
</td>
<td>
533.1
</td>
<td>
0.10480
</td>
<td>
0.06744
</td>
<td>
0.049210
</td>
<td>
0.047930
</td>
<td>
0.2298
</td>
<td>
0.05974
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
405
</th>
<td>
904971
</td>
<td>
B
</td>
<td>
10.940
</td>
<td>
18.59
</td>
<td>
70.39
</td>
<td>
370.0
</td>
<td>
0.10040
</td>
<td>
0.07460
</td>
<td>
0.049440
</td>
<td>
0.029320
</td>
<td>
0.1486
</td>
<td>
0.06615
</td>
<td>
0.3796
</td>
<td>
1.7430
</td>
<td>
3.0180
</td>
<td>
25.780
</td>
<td>
0.009519
</td>
<td>
0.021340
</td>
<td>
0.019900
</td>
<td>
0.011550
</td>
<td>
0.020790
</td>
<td>
0.002701
</td>
<td>
12.400
</td>
<td>
25.58
</td>
<td>
82.76
</td>
<td>
472.4
</td>
<td>
0.13630
</td>
<td>
0.16440
</td>
<td>
0.141200
</td>
<td>
0.078870
</td>
<td>
0.2251
</td>
<td>
0.07732
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
406
</th>
<td>
905189
</td>
<td>
B
</td>
<td>
16.140
</td>
<td>
14.86
</td>
<td>
104.30
</td>
<td>
800.0
</td>
<td>
0.09495
</td>
<td>
0.08501
</td>
<td>
0.055000
</td>
<td>
0.045280
</td>
<td>
0.1735
</td>
<td>
0.05875
</td>
<td>
0.2387
</td>
<td>
0.6372
</td>
<td>
1.7290
</td>
<td>
21.830
</td>
<td>
0.003958
</td>
<td>
0.012460
</td>
<td>
0.018310
</td>
<td>
0.008747
</td>
<td>
0.015000
</td>
<td>
0.001621
</td>
<td>
17.710
</td>
<td>
19.58
</td>
<td>
115.90
</td>
<td>
947.9
</td>
<td>
0.12060
</td>
<td>
0.17220
</td>
<td>
0.231000
</td>
<td>
0.112900
</td>
<td>
0.2778
</td>
<td>
0.07012
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
407
</th>
<td>
905190
</td>
<td>
B
</td>
<td>
12.850
</td>
<td>
21.37
</td>
<td>
82.63
</td>
<td>
514.5
</td>
<td>
0.07551
</td>
<td>
0.08316
</td>
<td>
0.061260
</td>
<td>
0.018670
</td>
<td>
0.1580
</td>
<td>
0.06114
</td>
<td>
0.4993
</td>
<td>
1.7980
</td>
<td>
2.5520
</td>
<td>
41.240
</td>
<td>
0.006011
</td>
<td>
0.044800
</td>
<td>
0.051750
</td>
<td>
0.013410
</td>
<td>
0.026690
</td>
<td>
0.007731
</td>
<td>
14.400
</td>
<td>
27.01
</td>
<td>
91.63
</td>
<td>
645.8
</td>
<td>
0.09402
</td>
<td>
0.19360
</td>
<td>
0.183800
</td>
<td>
0.056010
</td>
<td>
0.2488
</td>
<td>
0.08151
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
408
</th>
<td>
90524101
</td>
<td>
M
</td>
<td>
17.990
</td>
<td>
20.66
</td>
<td>
117.80
</td>
<td>
991.7
</td>
<td>
0.10360
</td>
<td>
0.13040
</td>
<td>
0.120100
</td>
<td>
0.088240
</td>
<td>
0.1992
</td>
<td>
0.06069
</td>
<td>
0.4537
</td>
<td>
0.8733
</td>
<td>
3.0610
</td>
<td>
49.810
</td>
<td>
0.007231
</td>
<td>
0.027720
</td>
<td>
0.025090
</td>
<td>
0.014800
</td>
<td>
0.014140
</td>
<td>
0.003336
</td>
<td>
21.080
</td>
<td>
25.41
</td>
<td>
138.10
</td>
<td>
1349.0
</td>
<td>
0.14820
</td>
<td>
0.37350
</td>
<td>
0.330100
</td>
<td>
0.197400
</td>
<td>
0.3060
</td>
<td>
0.08503
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
409
</th>
<td>
905501
</td>
<td>
B
</td>
<td>
12.270
</td>
<td>
17.92
</td>
<td>
78.41
</td>
<td>
466.1
</td>
<td>
0.08685
</td>
<td>
0.06526
</td>
<td>
0.032110
</td>
<td>
0.026530
</td>
<td>
0.1966
</td>
<td>
0.05597
</td>
<td>
0.3342
</td>
<td>
1.7810
</td>
<td>
2.0790
</td>
<td>
25.790
</td>
<td>
0.005888
</td>
<td>
0.023100
</td>
<td>
0.020590
</td>
<td>
0.010750
</td>
<td>
0.025780
</td>
<td>
0.002267
</td>
<td>
14.100
</td>
<td>
28.88
</td>
<td>
89.00
</td>
<td>
610.2
</td>
<td>
0.12400
</td>
<td>
0.17950
</td>
<td>
0.137700
</td>
<td>
0.095320
</td>
<td>
0.3455
</td>
<td>
0.06896
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
410
</th>
<td>
905502
</td>
<td>
B
</td>
<td>
11.360
</td>
<td>
17.57
</td>
<td>
72.49
</td>
<td>
399.8
</td>
<td>
0.08858
</td>
<td>
0.05313
</td>
<td>
0.027830
</td>
<td>
0.021000
</td>
<td>
0.1601
</td>
<td>
0.05913
</td>
<td>
0.1916
</td>
<td>
1.5550
</td>
<td>
1.3590
</td>
<td>
13.660
</td>
<td>
0.005391
</td>
<td>
0.009947
</td>
<td>
0.011630
</td>
<td>
0.005872
</td>
<td>
0.013410
</td>
<td>
0.001659
</td>
<td>
13.050
</td>
<td>
36.32
</td>
<td>
85.07
</td>
<td>
521.3
</td>
<td>
0.14530
</td>
<td>
0.16220
</td>
<td>
0.181100
</td>
<td>
0.086980
</td>
<td>
0.2973
</td>
<td>
0.07745
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
411
</th>
<td>
905520
</td>
<td>
B
</td>
<td>
11.040
</td>
<td>
16.83
</td>
<td>
70.92
</td>
<td>
373.2
</td>
<td>
0.10770
</td>
<td>
0.07804
</td>
<td>
0.030460
</td>
<td>
0.024800
</td>
<td>
0.1714
</td>
<td>
0.06340
</td>
<td>
0.1967
</td>
<td>
1.3870
</td>
<td>
1.3420
</td>
<td>
13.540
</td>
<td>
0.005158
</td>
<td>
0.009355
</td>
<td>
0.010560
</td>
<td>
0.007483
</td>
<td>
0.017180
</td>
<td>
0.002198
</td>
<td>
12.410
</td>
<td>
26.44
</td>
<td>
79.93
</td>
<td>
471.4
</td>
<td>
0.13690
</td>
<td>
0.14820
</td>
<td>
0.106700
</td>
<td>
0.074310
</td>
<td>
0.2998
</td>
<td>
0.07881
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
412
</th>
<td>
905539
</td>
<td>
B
</td>
<td>
9.397
</td>
<td>
21.68
</td>
<td>
59.75
</td>
<td>
268.8
</td>
<td>
0.07969
</td>
<td>
0.06053
</td>
<td>
0.037350
</td>
<td>
0.005128
</td>
<td>
0.1274
</td>
<td>
0.06724
</td>
<td>
0.1186
</td>
<td>
1.1820
</td>
<td>
1.1740
</td>
<td>
6.802
</td>
<td>
0.005515
</td>
<td>
0.026740
</td>
<td>
0.037350
</td>
<td>
0.005128
</td>
<td>
0.019510
</td>
<td>
0.004583
</td>
<td>
9.965
</td>
<td>
27.99
</td>
<td>
66.61
</td>
<td>
301.0
</td>
<td>
0.10860
</td>
<td>
0.18870
</td>
<td>
0.186800
</td>
<td>
0.025640
</td>
<td>
0.2376
</td>
<td>
0.09206
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
413
</th>
<td>
905557
</td>
<td>
B
</td>
<td>
14.990
</td>
<td>
22.11
</td>
<td>
97.53
</td>
<td>
693.7
</td>
<td>
0.08515
</td>
<td>
0.10250
</td>
<td>
0.068590
</td>
<td>
0.038760
</td>
<td>
0.1944
</td>
<td>
0.05913
</td>
<td>
0.3186
</td>
<td>
1.3360
</td>
<td>
2.3100
</td>
<td>
28.510
</td>
<td>
0.004449
</td>
<td>
0.028080
</td>
<td>
0.033120
</td>
<td>
0.011960
</td>
<td>
0.019060
</td>
<td>
0.004015
</td>
<td>
16.760
</td>
<td>
31.55
</td>
<td>
110.20
</td>
<td>
867.1
</td>
<td>
0.10770
</td>
<td>
0.33450
</td>
<td>
0.311400
</td>
<td>
0.130800
</td>
<td>
0.3163
</td>
<td>
0.09251
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
414
</th>
<td>
905680
</td>
<td>
M
</td>
<td>
15.130
</td>
<td>
29.81
</td>
<td>
96.71
</td>
<td>
719.5
</td>
<td>
0.08320
</td>
<td>
0.04605
</td>
<td>
0.046860
</td>
<td>
0.027390
</td>
<td>
0.1852
</td>
<td>
0.05294
</td>
<td>
0.4681
</td>
<td>
1.6270
</td>
<td>
3.0430
</td>
<td>
45.380
</td>
<td>
0.006831
</td>
<td>
0.014270
</td>
<td>
0.024890
</td>
<td>
0.009087
</td>
<td>
0.031510
</td>
<td>
0.001750
</td>
<td>
17.260
</td>
<td>
36.91
</td>
<td>
110.10
</td>
<td>
931.4
</td>
<td>
0.11480
</td>
<td>
0.09866
</td>
<td>
0.154700
</td>
<td>
0.065750
</td>
<td>
0.3233
</td>
<td>
0.06165
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
415
</th>
<td>
905686
</td>
<td>
B
</td>
<td>
11.890
</td>
<td>
21.17
</td>
<td>
76.39
</td>
<td>
433.8
</td>
<td>
0.09773
</td>
<td>
0.08120
</td>
<td>
0.025550
</td>
<td>
0.021790
</td>
<td>
0.2019
</td>
<td>
0.06290
</td>
<td>
0.2747
</td>
<td>
1.2030
</td>
<td>
1.9300
</td>
<td>
19.530
</td>
<td>
0.009895
</td>
<td>
0.030530
</td>
<td>
0.016300
</td>
<td>
0.009276
</td>
<td>
0.022580
</td>
<td>
0.002272
</td>
<td>
13.050
</td>
<td>
27.21
</td>
<td>
85.09
</td>
<td>
522.9
</td>
<td>
0.14260
</td>
<td>
0.21870
</td>
<td>
0.116400
</td>
<td>
0.082630
</td>
<td>
0.3075
</td>
<td>
0.07351
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
416
</th>
<td>
905978
</td>
<td>
B
</td>
<td>
9.405
</td>
<td>
21.70
</td>
<td>
59.60
</td>
<td>
271.2
</td>
<td>
0.10440
</td>
<td>
0.06159
</td>
<td>
0.020470
</td>
<td>
0.012570
</td>
<td>
0.2025
</td>
<td>
0.06601
</td>
<td>
0.4302
</td>
<td>
2.8780
</td>
<td>
2.7590
</td>
<td>
25.170
</td>
<td>
0.014740
</td>
<td>
0.016740
</td>
<td>
0.013670
</td>
<td>
0.008674
</td>
<td>
0.030440
</td>
<td>
0.004590
</td>
<td>
10.850
</td>
<td>
31.24
</td>
<td>
68.73
</td>
<td>
359.4
</td>
<td>
0.15260
</td>
<td>
0.11930
</td>
<td>
0.061410
</td>
<td>
0.037700
</td>
<td>
0.2872
</td>
<td>
0.08304
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
417
</th>
<td>
90602302
</td>
<td>
M
</td>
<td>
15.500
</td>
<td>
21.08
</td>
<td>
102.90
</td>
<td>
803.1
</td>
<td>
0.11200
</td>
<td>
0.15710
</td>
<td>
0.152200
</td>
<td>
0.084810
</td>
<td>
0.2085
</td>
<td>
0.06864
</td>
<td>
1.3700
</td>
<td>
1.2130
</td>
<td>
9.4240
</td>
<td>
176.500
</td>
<td>
0.008198
</td>
<td>
0.038890
</td>
<td>
0.044930
</td>
<td>
0.021390
</td>
<td>
0.020180
</td>
<td>
0.005815
</td>
<td>
23.170
</td>
<td>
27.65
</td>
<td>
157.10
</td>
<td>
1748.0
</td>
<td>
0.15170
</td>
<td>
0.40020
</td>
<td>
0.421100
</td>
<td>
0.213400
</td>
<td>
0.3003
</td>
<td>
0.10480
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
418
</th>
<td>
906024
</td>
<td>
B
</td>
<td>
12.700
</td>
<td>
12.17
</td>
<td>
80.88
</td>
<td>
495.0
</td>
<td>
0.08785
</td>
<td>
0.05794
</td>
<td>
0.023600
</td>
<td>
0.024020
</td>
<td>
0.1583
</td>
<td>
0.06275
</td>
<td>
0.2253
</td>
<td>
0.6457
</td>
<td>
1.5270
</td>
<td>
17.370
</td>
<td>
0.006131
</td>
<td>
0.012630
</td>
<td>
0.009075
</td>
<td>
0.008231
</td>
<td>
0.017130
</td>
<td>
0.004414
</td>
<td>
13.650
</td>
<td>
16.92
</td>
<td>
88.12
</td>
<td>
566.9
</td>
<td>
0.13140
</td>
<td>
0.16070
</td>
<td>
0.093850
</td>
<td>
0.082240
</td>
<td>
0.2775
</td>
<td>
0.09464
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
419
</th>
<td>
906290
</td>
<td>
B
</td>
<td>
11.160
</td>
<td>
21.41
</td>
<td>
70.95
</td>
<td>
380.3
</td>
<td>
0.10180
</td>
<td>
0.05978
</td>
<td>
0.008955
</td>
<td>
0.010760
</td>
<td>
0.1615
</td>
<td>
0.06144
</td>
<td>
0.2865
</td>
<td>
1.6780
</td>
<td>
1.9680
</td>
<td>
18.990
</td>
<td>
0.006908
</td>
<td>
0.009442
</td>
<td>
0.006972
</td>
<td>
0.006159
</td>
<td>
0.026940
</td>
<td>
0.002060
</td>
<td>
12.360
</td>
<td>
28.92
</td>
<td>
79.26
</td>
<td>
458.0
</td>
<td>
0.12820
</td>
<td>
0.11080
</td>
<td>
0.035820
</td>
<td>
0.043060
</td>
<td>
0.2976
</td>
<td>
0.07123
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
420
</th>
<td>
906539
</td>
<td>
B
</td>
<td>
11.570
</td>
<td>
19.04
</td>
<td>
74.20
</td>
<td>
409.7
</td>
<td>
0.08546
</td>
<td>
0.07722
</td>
<td>
0.054850
</td>
<td>
0.014280
</td>
<td>
0.2031
</td>
<td>
0.06267
</td>
<td>
0.2864
</td>
<td>
1.4400
</td>
<td>
2.2060
</td>
<td>
20.300
</td>
<td>
0.007278
</td>
<td>
0.020470
</td>
<td>
0.044470
</td>
<td>
0.008799
</td>
<td>
0.018680
</td>
<td>
0.003339
</td>
<td>
13.070
</td>
<td>
26.98
</td>
<td>
86.43
</td>
<td>
520.5
</td>
<td>
0.12490
</td>
<td>
0.19370
</td>
<td>
0.256000
</td>
<td>
0.066640
</td>
<td>
0.3035
</td>
<td>
0.08284
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
421
</th>
<td>
906564
</td>
<td>
B
</td>
<td>
14.690
</td>
<td>
13.98
</td>
<td>
98.22
</td>
<td>
656.1
</td>
<td>
0.10310
</td>
<td>
0.18360
</td>
<td>
0.145000
</td>
<td>
0.063000
</td>
<td>
0.2086
</td>
<td>
0.07406
</td>
<td>
0.5462
</td>
<td>
1.5110
</td>
<td>
4.7950
</td>
<td>
49.450
</td>
<td>
0.009976
</td>
<td>
0.052440
</td>
<td>
0.052780
</td>
<td>
0.015800
</td>
<td>
0.026530
</td>
<td>
0.005444
</td>
<td>
16.460
</td>
<td>
18.34
</td>
<td>
114.10
</td>
<td>
809.2
</td>
<td>
0.13120
</td>
<td>
0.36350
</td>
<td>
0.321900
</td>
<td>
0.110800
</td>
<td>
0.2827
</td>
<td>
0.09208
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
422
</th>
<td>
906616
</td>
<td>
B
</td>
<td>
11.610
</td>
<td>
16.02
</td>
<td>
75.46
</td>
<td>
408.2
</td>
<td>
0.10880
</td>
<td>
0.11680
</td>
<td>
0.070970
</td>
<td>
0.044970
</td>
<td>
0.1886
</td>
<td>
0.06320
</td>
<td>
0.2456
</td>
<td>
0.7339
</td>
<td>
1.6670
</td>
<td>
15.890
</td>
<td>
0.005884
</td>
<td>
0.020050
</td>
<td>
0.026310
</td>
<td>
0.013040
</td>
<td>
0.018480
</td>
<td>
0.001982
</td>
<td>
12.640
</td>
<td>
19.67
</td>
<td>
81.93
</td>
<td>
475.7
</td>
<td>
0.14150
</td>
<td>
0.21700
</td>
<td>
0.230200
</td>
<td>
0.110500
</td>
<td>
0.2787
</td>
<td>
0.07427
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
423
</th>
<td>
906878
</td>
<td>
B
</td>
<td>
13.660
</td>
<td>
19.13
</td>
<td>
89.46
</td>
<td>
575.3
</td>
<td>
0.09057
</td>
<td>
0.11470
</td>
<td>
0.096570
</td>
<td>
0.048120
</td>
<td>
0.1848
</td>
<td>
0.06181
</td>
<td>
0.2244
</td>
<td>
0.8950
</td>
<td>
1.8040
</td>
<td>
19.360
</td>
<td>
0.003980
</td>
<td>
0.028090
</td>
<td>
0.036690
</td>
<td>
0.012740
</td>
<td>
0.015810
</td>
<td>
0.003956
</td>
<td>
15.140
</td>
<td>
25.50
</td>
<td>
101.40
</td>
<td>
708.8
</td>
<td>
0.11470
</td>
<td>
0.31670
</td>
<td>
0.366000
</td>
<td>
0.140700
</td>
<td>
0.2744
</td>
<td>
0.08839
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
424
</th>
<td>
907145
</td>
<td>
B
</td>
<td>
9.742
</td>
<td>
19.12
</td>
<td>
61.93
</td>
<td>
289.7
</td>
<td>
0.10750
</td>
<td>
0.08333
</td>
<td>
0.008934
</td>
<td>
0.019670
</td>
<td>
0.2538
</td>
<td>
0.07029
</td>
<td>
0.6965
</td>
<td>
1.7470
</td>
<td>
4.6070
</td>
<td>
43.520
</td>
<td>
0.013070
</td>
<td>
0.018850
</td>
<td>
0.006021
</td>
<td>
0.010520
</td>
<td>
0.031000
</td>
<td>
0.004225
</td>
<td>
11.210
</td>
<td>
23.17
</td>
<td>
71.79
</td>
<td>
380.9
</td>
<td>
0.13980
</td>
<td>
0.13520
</td>
<td>
0.020850
</td>
<td>
0.045890
</td>
<td>
0.3196
</td>
<td>
0.08009
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
425
</th>
<td>
907367
</td>
<td>
B
</td>
<td>
10.030
</td>
<td>
21.28
</td>
<td>
63.19
</td>
<td>
307.3
</td>
<td>
0.08117
</td>
<td>
0.03912
</td>
<td>
0.002470
</td>
<td>
0.005159
</td>
<td>
0.1630
</td>
<td>
0.06439
</td>
<td>
0.1851
</td>
<td>
1.3410
</td>
<td>
1.1840
</td>
<td>
11.600
</td>
<td>
0.005724
</td>
<td>
0.005697
</td>
<td>
0.002074
</td>
<td>
0.003527
</td>
<td>
0.014450
</td>
<td>
0.002411
</td>
<td>
11.110
</td>
<td>
28.94
</td>
<td>
69.92
</td>
<td>
376.3
</td>
<td>
0.11260
</td>
<td>
0.07094
</td>
<td>
0.012350
</td>
<td>
0.025790
</td>
<td>
0.2349
</td>
<td>
0.08061
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
426
</th>
<td>
907409
</td>
<td>
B
</td>
<td>
10.480
</td>
<td>
14.98
</td>
<td>
67.49
</td>
<td>
333.6
</td>
<td>
0.09816
</td>
<td>
0.10130
</td>
<td>
0.063350
</td>
<td>
0.022180
</td>
<td>
0.1925
</td>
<td>
0.06915
</td>
<td>
0.3276
</td>
<td>
1.1270
</td>
<td>
2.5640
</td>
<td>
20.770
</td>
<td>
0.007364
</td>
<td>
0.038670
</td>
<td>
0.052630
</td>
<td>
0.012640
</td>
<td>
0.021610
</td>
<td>
0.004830
</td>
<td>
12.130
</td>
<td>
21.57
</td>
<td>
81.41
</td>
<td>
440.4
</td>
<td>
0.13270
</td>
<td>
0.29960
</td>
<td>
0.293900
</td>
<td>
0.093100
</td>
<td>
0.3020
</td>
<td>
0.09646
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
427
</th>
<td>
90745
</td>
<td>
B
</td>
<td>
10.800
</td>
<td>
21.98
</td>
<td>
68.79
</td>
<td>
359.9
</td>
<td>
0.08801
</td>
<td>
0.05743
</td>
<td>
0.036140
</td>
<td>
0.014040
</td>
<td>
0.2016
</td>
<td>
0.05977
</td>
<td>
0.3077
</td>
<td>
1.6210
</td>
<td>
2.2400
</td>
<td>
20.200
</td>
<td>
0.006543
</td>
<td>
0.021480
</td>
<td>
0.029910
</td>
<td>
0.010450
</td>
<td>
0.018440
</td>
<td>
0.002690
</td>
<td>
12.760
</td>
<td>
32.04
</td>
<td>
83.69
</td>
<td>
489.5
</td>
<td>
0.13030
</td>
<td>
0.16960
</td>
<td>
0.192700
</td>
<td>
0.074850
</td>
<td>
0.2965
</td>
<td>
0.07662
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
428
</th>
<td>
90769601
</td>
<td>
B
</td>
<td>
11.130
</td>
<td>
16.62
</td>
<td>
70.47
</td>
<td>
381.1
</td>
<td>
0.08151
</td>
<td>
0.03834
</td>
<td>
0.013690
</td>
<td>
0.013700
</td>
<td>
0.1511
</td>
<td>
0.06148
</td>
<td>
0.1415
</td>
<td>
0.9671
</td>
<td>
0.9680
</td>
<td>
9.704
</td>
<td>
0.005883
</td>
<td>
0.006263
</td>
<td>
0.009398
</td>
<td>
0.006189
</td>
<td>
0.020090
</td>
<td>
0.002377
</td>
<td>
11.680
</td>
<td>
20.29
</td>
<td>
74.35
</td>
<td>
421.1
</td>
<td>
0.10300
</td>
<td>
0.06219
</td>
<td>
0.045800
</td>
<td>
0.040440
</td>
<td>
0.2383
</td>
<td>
0.07083
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
429
</th>
<td>
90769602
</td>
<td>
B
</td>
<td>
12.720
</td>
<td>
17.67
</td>
<td>
80.98
</td>
<td>
501.3
</td>
<td>
0.07896
</td>
<td>
0.04522
</td>
<td>
0.014020
</td>
<td>
0.018350
</td>
<td>
0.1459
</td>
<td>
0.05544
</td>
<td>
0.2954
</td>
<td>
0.8836
</td>
<td>
2.1090
</td>
<td>
23.240
</td>
<td>
0.007337
</td>
<td>
0.011740
</td>
<td>
0.005383
</td>
<td>
0.005623
</td>
<td>
0.019400
</td>
<td>
0.001180
</td>
<td>
13.820
</td>
<td>
20.96
</td>
<td>
88.87
</td>
<td>
586.8
</td>
<td>
0.10680
</td>
<td>
0.09605
</td>
<td>
0.034690
</td>
<td>
0.036120
</td>
<td>
0.2165
</td>
<td>
0.06025
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
430
</th>
<td>
907914
</td>
<td>
M
</td>
<td>
14.900
</td>
<td>
22.53
</td>
<td>
102.10
</td>
<td>
685.0
</td>
<td>
0.09947
</td>
<td>
0.22250
</td>
<td>
0.273300
</td>
<td>
0.097110
</td>
<td>
0.2041
</td>
<td>
0.06898
</td>
<td>
0.2530
</td>
<td>
0.8749
</td>
<td>
3.4660
</td>
<td>
24.190
</td>
<td>
0.006965
</td>
<td>
0.062130
</td>
<td>
0.079260
</td>
<td>
0.022340
</td>
<td>
0.014990
</td>
<td>
0.005784
</td>
<td>
16.350
</td>
<td>
27.57
</td>
<td>
125.40
</td>
<td>
832.7
</td>
<td>
0.14190
</td>
<td>
0.70900
</td>
<td>
0.901900
</td>
<td>
0.247500
</td>
<td>
0.2866
</td>
<td>
0.11550
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
431
</th>
<td>
907915
</td>
<td>
B
</td>
<td>
12.400
</td>
<td>
17.68
</td>
<td>
81.47
</td>
<td>
467.8
</td>
<td>
0.10540
</td>
<td>
0.13160
</td>
<td>
0.077410
</td>
<td>
0.027990
</td>
<td>
0.1811
</td>
<td>
0.07102
</td>
<td>
0.1767
</td>
<td>
1.4600
</td>
<td>
2.2040
</td>
<td>
15.430
</td>
<td>
0.010000
</td>
<td>
0.032950
</td>
<td>
0.048610
</td>
<td>
0.011670
</td>
<td>
0.021870
</td>
<td>
0.006005
</td>
<td>
12.880
</td>
<td>
22.91
</td>
<td>
89.61
</td>
<td>
515.8
</td>
<td>
0.14500
</td>
<td>
0.26290
</td>
<td>
0.240300
</td>
<td>
0.073700
</td>
<td>
0.2556
</td>
<td>
0.09359
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
432
</th>
<td>
908194
</td>
<td>
M
</td>
<td>
20.180
</td>
<td>
19.54
</td>
<td>
133.80
</td>
<td>
1250.0
</td>
<td>
0.11330
</td>
<td>
0.14890
</td>
<td>
0.213300
</td>
<td>
0.125900
</td>
<td>
0.1724
</td>
<td>
0.06053
</td>
<td>
0.4331
</td>
<td>
1.0010
</td>
<td>
3.0080
</td>
<td>
52.490
</td>
<td>
0.009087
</td>
<td>
0.027150
</td>
<td>
0.055460
</td>
<td>
0.019100
</td>
<td>
0.024510
</td>
<td>
0.004005
</td>
<td>
22.030
</td>
<td>
25.07
</td>
<td>
146.00
</td>
<td>
1479.0
</td>
<td>
0.16650
</td>
<td>
0.29420
</td>
<td>
0.530800
</td>
<td>
0.217300
</td>
<td>
0.3032
</td>
<td>
0.08075
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
433
</th>
<td>
908445
</td>
<td>
M
</td>
<td>
18.820
</td>
<td>
21.97
</td>
<td>
123.70
</td>
<td>
1110.0
</td>
<td>
0.10180
</td>
<td>
0.13890
</td>
<td>
0.159400
</td>
<td>
0.087440
</td>
<td>
0.1943
</td>
<td>
0.06132
</td>
<td>
0.8191
</td>
<td>
1.9310
</td>
<td>
4.4930
</td>
<td>
103.900
</td>
<td>
0.008074
</td>
<td>
0.040880
</td>
<td>
0.053210
</td>
<td>
0.018340
</td>
<td>
0.023830
</td>
<td>
0.004515
</td>
<td>
22.660
</td>
<td>
30.93
</td>
<td>
145.30
</td>
<td>
1603.0
</td>
<td>
0.13900
</td>
<td>
0.34630
</td>
<td>
0.391200
</td>
<td>
0.170800
</td>
<td>
0.3007
</td>
<td>
0.08314
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
434
</th>
<td>
908469
</td>
<td>
B
</td>
<td>
14.860
</td>
<td>
16.94
</td>
<td>
94.89
</td>
<td>
673.7
</td>
<td>
0.08924
</td>
<td>
0.07074
</td>
<td>
0.033460
</td>
<td>
0.028770
</td>
<td>
0.1573
</td>
<td>
0.05703
</td>
<td>
0.3028
</td>
<td>
0.6683
</td>
<td>
1.6120
</td>
<td>
23.920
</td>
<td>
0.005756
</td>
<td>
0.016650
</td>
<td>
0.014610
</td>
<td>
0.008281
</td>
<td>
0.015510
</td>
<td>
0.002168
</td>
<td>
16.310
</td>
<td>
20.54
</td>
<td>
102.30
</td>
<td>
777.5
</td>
<td>
0.12180
</td>
<td>
0.15500
</td>
<td>
0.122000
</td>
<td>
0.079710
</td>
<td>
0.2525
</td>
<td>
0.06827
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
435
</th>
<td>
908489
</td>
<td>
M
</td>
<td>
13.980
</td>
<td>
19.62
</td>
<td>
91.12
</td>
<td>
599.5
</td>
<td>
0.10600
</td>
<td>
0.11330
</td>
<td>
0.112600
</td>
<td>
0.064630
</td>
<td>
0.1669
</td>
<td>
0.06544
</td>
<td>
0.2208
</td>
<td>
0.9533
</td>
<td>
1.6020
</td>
<td>
18.850
</td>
<td>
0.005314
</td>
<td>
0.017910
</td>
<td>
0.021850
</td>
<td>
0.009567
</td>
<td>
0.012230
</td>
<td>
0.002846
</td>
<td>
17.040
</td>
<td>
30.80
</td>
<td>
113.90
</td>
<td>
869.3
</td>
<td>
0.16130
</td>
<td>
0.35680
</td>
<td>
0.406900
</td>
<td>
0.182700
</td>
<td>
0.3179
</td>
<td>
0.10550
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
436
</th>
<td>
908916
</td>
<td>
B
</td>
<td>
12.870
</td>
<td>
19.54
</td>
<td>
82.67
</td>
<td>
509.2
</td>
<td>
0.09136
</td>
<td>
0.07883
</td>
<td>
0.017970
</td>
<td>
0.020900
</td>
<td>
0.1861
</td>
<td>
0.06347
</td>
<td>
0.3665
</td>
<td>
0.7693
</td>
<td>
2.5970
</td>
<td>
26.500
</td>
<td>
0.005910
</td>
<td>
0.013620
</td>
<td>
0.007066
</td>
<td>
0.006502
</td>
<td>
0.022230
</td>
<td>
0.002378
</td>
<td>
14.450
</td>
<td>
24.38
</td>
<td>
95.14
</td>
<td>
626.9
</td>
<td>
0.12140
</td>
<td>
0.16520
</td>
<td>
0.071270
</td>
<td>
0.063840
</td>
<td>
0.3313
</td>
<td>
0.07735
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
437
</th>
<td>
909220
</td>
<td>
B
</td>
<td>
14.040
</td>
<td>
15.98
</td>
<td>
89.78
</td>
<td>
611.2
</td>
<td>
0.08458
</td>
<td>
0.05895
</td>
<td>
0.035340
</td>
<td>
0.029440
</td>
<td>
0.1714
</td>
<td>
0.05898
</td>
<td>
0.3892
</td>
<td>
1.0460
</td>
<td>
2.6440
</td>
<td>
32.740
</td>
<td>
0.007976
</td>
<td>
0.012950
</td>
<td>
0.016080
</td>
<td>
0.009046
</td>
<td>
0.020050
</td>
<td>
0.002830
</td>
<td>
15.660
</td>
<td>
21.58
</td>
<td>
101.20
</td>
<td>
750.0
</td>
<td>
0.11950
</td>
<td>
0.12520
</td>
<td>
0.111700
</td>
<td>
0.074530
</td>
<td>
0.2725
</td>
<td>
0.07234
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
438
</th>
<td>
909231
</td>
<td>
B
</td>
<td>
13.850
</td>
<td>
19.60
</td>
<td>
88.68
</td>
<td>
592.6
</td>
<td>
0.08684
</td>
<td>
0.06330
</td>
<td>
0.013420
</td>
<td>
0.022930
</td>
<td>
0.1555
</td>
<td>
0.05673
</td>
<td>
0.3419
</td>
<td>
1.6780
</td>
<td>
2.3310
</td>
<td>
29.630
</td>
<td>
0.005836
</td>
<td>
0.010950
</td>
<td>
0.005812
</td>
<td>
0.007039
</td>
<td>
0.020140
</td>
<td>
0.002326
</td>
<td>
15.630
</td>
<td>
28.01
</td>
<td>
100.90
</td>
<td>
749.1
</td>
<td>
0.11180
</td>
<td>
0.11410
</td>
<td>
0.047530
</td>
<td>
0.058900
</td>
<td>
0.2513
</td>
<td>
0.06911
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
439
</th>
<td>
909410
</td>
<td>
B
</td>
<td>
14.020
</td>
<td>
15.66
</td>
<td>
89.59
</td>
<td>
606.5
</td>
<td>
0.07966
</td>
<td>
0.05581
</td>
<td>
0.020870
</td>
<td>
0.026520
</td>
<td>
0.1589
</td>
<td>
0.05586
</td>
<td>
0.2142
</td>
<td>
0.6549
</td>
<td>
1.6060
</td>
<td>
19.250
</td>
<td>
0.004837
</td>
<td>
0.009238
</td>
<td>
0.009213
</td>
<td>
0.010760
</td>
<td>
0.011710
</td>
<td>
0.002104
</td>
<td>
14.910
</td>
<td>
19.31
</td>
<td>
96.53
</td>
<td>
688.9
</td>
<td>
0.10340
</td>
<td>
0.10170
</td>
<td>
0.062600
</td>
<td>
0.082160
</td>
<td>
0.2136
</td>
<td>
0.06710
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
440
</th>
<td>
909411
</td>
<td>
B
</td>
<td>
10.970
</td>
<td>
17.20
</td>
<td>
71.73
</td>
<td>
371.5
</td>
<td>
0.08915
</td>
<td>
0.11130
</td>
<td>
0.094570
</td>
<td>
0.036130
</td>
<td>
0.1489
</td>
<td>
0.06640
</td>
<td>
0.2574
</td>
<td>
1.3760
</td>
<td>
2.8060
</td>
<td>
18.150
</td>
<td>
0.008565
</td>
<td>
0.046380
</td>
<td>
0.064300
</td>
<td>
0.017680
</td>
<td>
0.015160
</td>
<td>
0.004976
</td>
<td>
12.360
</td>
<td>
26.87
</td>
<td>
90.14
</td>
<td>
476.4
</td>
<td>
0.13910
</td>
<td>
0.40820
</td>
<td>
0.477900
</td>
<td>
0.155500
</td>
<td>
0.2540
</td>
<td>
0.09532
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
441
</th>
<td>
909445
</td>
<td>
M
</td>
<td>
17.270
</td>
<td>
25.42
</td>
<td>
112.40
</td>
<td>
928.8
</td>
<td>
0.08331
</td>
<td>
0.11090
</td>
<td>
0.120400
</td>
<td>
0.057360
</td>
<td>
0.1467
</td>
<td>
0.05407
</td>
<td>
0.5100
</td>
<td>
1.6790
</td>
<td>
3.2830
</td>
<td>
58.380
</td>
<td>
0.008109
</td>
<td>
0.043080
</td>
<td>
0.049420
</td>
<td>
0.017420
</td>
<td>
0.015940
</td>
<td>
0.003739
</td>
<td>
20.380
</td>
<td>
35.46
</td>
<td>
132.80
</td>
<td>
1284.0
</td>
<td>
0.14360
</td>
<td>
0.41220
</td>
<td>
0.503600
</td>
<td>
0.173900
</td>
<td>
0.2500
</td>
<td>
0.07944
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
442
</th>
<td>
90944601
</td>
<td>
B
</td>
<td>
13.780
</td>
<td>
15.79
</td>
<td>
88.37
</td>
<td>
585.9
</td>
<td>
0.08817
</td>
<td>
0.06718
</td>
<td>
0.010550
</td>
<td>
0.009937
</td>
<td>
0.1405
</td>
<td>
0.05848
</td>
<td>
0.3563
</td>
<td>
0.4833
</td>
<td>
2.2350
</td>
<td>
29.340
</td>
<td>
0.006432
</td>
<td>
0.011560
</td>
<td>
0.007741
</td>
<td>
0.005657
</td>
<td>
0.012270
</td>
<td>
0.002564
</td>
<td>
15.270
</td>
<td>
17.50
</td>
<td>
97.90
</td>
<td>
706.6
</td>
<td>
0.10720
</td>
<td>
0.10710
</td>
<td>
0.035170
</td>
<td>
0.033120
</td>
<td>
0.1859
</td>
<td>
0.06810
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
443
</th>
<td>
909777
</td>
<td>
B
</td>
<td>
10.570
</td>
<td>
18.32
</td>
<td>
66.82
</td>
<td>
340.9
</td>
<td>
0.08142
</td>
<td>
0.04462
</td>
<td>
0.019930
</td>
<td>
0.011110
</td>
<td>
0.2372
</td>
<td>
0.05768
</td>
<td>
0.1818
</td>
<td>
2.5420
</td>
<td>
1.2770
</td>
<td>
13.120
</td>
<td>
0.010720
</td>
<td>
0.013310
</td>
<td>
0.019930
</td>
<td>
0.011110
</td>
<td>
0.017170
</td>
<td>
0.004492
</td>
<td>
10.940
</td>
<td>
23.31
</td>
<td>
69.35
</td>
<td>
366.3
</td>
<td>
0.09794
</td>
<td>
0.06542
</td>
<td>
0.039860
</td>
<td>
0.022220
</td>
<td>
0.2699
</td>
<td>
0.06736
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
444
</th>
<td>
9110127
</td>
<td>
M
</td>
<td>
18.030
</td>
<td>
16.85
</td>
<td>
117.50
</td>
<td>
990.0
</td>
<td>
0.08947
</td>
<td>
0.12320
</td>
<td>
0.109000
</td>
<td>
0.062540
</td>
<td>
0.1720
</td>
<td>
0.05780
</td>
<td>
0.2986
</td>
<td>
0.5906
</td>
<td>
1.9210
</td>
<td>
35.770
</td>
<td>
0.004117
</td>
<td>
0.015600
</td>
<td>
0.029750
</td>
<td>
0.009753
</td>
<td>
0.012950
</td>
<td>
0.002436
</td>
<td>
20.380
</td>
<td>
22.02
</td>
<td>
133.30
</td>
<td>
1292.0
</td>
<td>
0.12630
</td>
<td>
0.26660
</td>
<td>
0.429000
</td>
<td>
0.153500
</td>
<td>
0.2842
</td>
<td>
0.08225
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
445
</th>
<td>
9110720
</td>
<td>
B
</td>
<td>
11.990
</td>
<td>
24.89
</td>
<td>
77.61
</td>
<td>
441.3
</td>
<td>
0.10300
</td>
<td>
0.09218
</td>
<td>
0.054410
</td>
<td>
0.042740
</td>
<td>
0.1820
</td>
<td>
0.06850
</td>
<td>
0.2623
</td>
<td>
1.2040
</td>
<td>
1.8650
</td>
<td>
19.390
</td>
<td>
0.008320
</td>
<td>
0.020250
</td>
<td>
0.023340
</td>
<td>
0.016650
</td>
<td>
0.020940
</td>
<td>
0.003674
</td>
<td>
12.980
</td>
<td>
30.36
</td>
<td>
84.48
</td>
<td>
513.9
</td>
<td>
0.13110
</td>
<td>
0.18220
</td>
<td>
0.160900
</td>
<td>
0.120200
</td>
<td>
0.2599
</td>
<td>
0.08251
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
446
</th>
<td>
9110732
</td>
<td>
M
</td>
<td>
17.750
</td>
<td>
28.03
</td>
<td>
117.30
</td>
<td>
981.6
</td>
<td>
0.09997
</td>
<td>
0.13140
</td>
<td>
0.169800
</td>
<td>
0.082930
</td>
<td>
0.1713
</td>
<td>
0.05916
</td>
<td>
0.3897
</td>
<td>
1.0770
</td>
<td>
2.8730
</td>
<td>
43.950
</td>
<td>
0.004714
</td>
<td>
0.020150
</td>
<td>
0.036970
</td>
<td>
0.011100
</td>
<td>
0.012370
</td>
<td>
0.002556
</td>
<td>
21.530
</td>
<td>
38.54
</td>
<td>
145.40
</td>
<td>
1437.0
</td>
<td>
0.14010
</td>
<td>
0.37620
</td>
<td>
0.639900
</td>
<td>
0.197000
</td>
<td>
0.2972
</td>
<td>
0.09075
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
447
</th>
<td>
9110944
</td>
<td>
B
</td>
<td>
14.800
</td>
<td>
17.66
</td>
<td>
95.88
</td>
<td>
674.8
</td>
<td>
0.09179
</td>
<td>
0.08890
</td>
<td>
0.040690
</td>
<td>
0.022600
</td>
<td>
0.1893
</td>
<td>
0.05886
</td>
<td>
0.2204
</td>
<td>
0.6221
</td>
<td>
1.4820
</td>
<td>
19.750
</td>
<td>
0.004796
</td>
<td>
0.011710
</td>
<td>
0.017580
</td>
<td>
0.006897
</td>
<td>
0.022540
</td>
<td>
0.001971
</td>
<td>
16.430
</td>
<td>
22.74
</td>
<td>
105.90
</td>
<td>
829.5
</td>
<td>
0.12260
</td>
<td>
0.18810
</td>
<td>
0.206000
</td>
<td>
0.083080
</td>
<td>
0.3600
</td>
<td>
0.07285
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
448
</th>
<td>
911150
</td>
<td>
B
</td>
<td>
14.530
</td>
<td>
19.34
</td>
<td>
94.25
</td>
<td>
659.7
</td>
<td>
0.08388
</td>
<td>
0.07800
</td>
<td>
0.088170
</td>
<td>
0.029250
</td>
<td>
0.1473
</td>
<td>
0.05746
</td>
<td>
0.2535
</td>
<td>
1.3540
</td>
<td>
1.9940
</td>
<td>
23.040
</td>
<td>
0.004147
</td>
<td>
0.020480
</td>
<td>
0.033790
</td>
<td>
0.008848
</td>
<td>
0.013940
</td>
<td>
0.002327
</td>
<td>
16.300
</td>
<td>
28.39
</td>
<td>
108.10
</td>
<td>
830.5
</td>
<td>
0.10890
</td>
<td>
0.26490
</td>
<td>
0.377900
</td>
<td>
0.095940
</td>
<td>
0.2471
</td>
<td>
0.07463
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
449
</th>
<td>
911157302
</td>
<td>
M
</td>
<td>
21.100
</td>
<td>
20.52
</td>
<td>
138.10
</td>
<td>
1384.0
</td>
<td>
0.09684
</td>
<td>
0.11750
</td>
<td>
0.157200
</td>
<td>
0.115500
</td>
<td>
0.1554
</td>
<td>
0.05661
</td>
<td>
0.6643
</td>
<td>
1.3610
</td>
<td>
4.5420
</td>
<td>
81.890
</td>
<td>
0.005467
</td>
<td>
0.020750
</td>
<td>
0.031850
</td>
<td>
0.014660
</td>
<td>
0.010290
</td>
<td>
0.002205
</td>
<td>
25.680
</td>
<td>
32.07
</td>
<td>
168.20
</td>
<td>
2022.0
</td>
<td>
0.13680
</td>
<td>
0.31010
</td>
<td>
0.439900
</td>
<td>
0.228000
</td>
<td>
0.2268
</td>
<td>
0.07425
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
450
</th>
<td>
9111596
</td>
<td>
B
</td>
<td>
11.870
</td>
<td>
21.54
</td>
<td>
76.83
</td>
<td>
432.0
</td>
<td>
0.06613
</td>
<td>
0.10640
</td>
<td>
0.087770
</td>
<td>
0.023860
</td>
<td>
0.1349
</td>
<td>
0.06612
</td>
<td>
0.2560
</td>
<td>
1.5540
</td>
<td>
1.9550
</td>
<td>
20.240
</td>
<td>
0.006854
</td>
<td>
0.060630
</td>
<td>
0.066630
</td>
<td>
0.015530
</td>
<td>
0.023540
</td>
<td>
0.008925
</td>
<td>
12.790
</td>
<td>
28.18
</td>
<td>
83.51
</td>
<td>
507.2
</td>
<td>
0.09457
</td>
<td>
0.33990
</td>
<td>
0.321800
</td>
<td>
0.087500
</td>
<td>
0.2305
</td>
<td>
0.09952
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
451
</th>
<td>
9111805
</td>
<td>
M
</td>
<td>
19.590
</td>
<td>
25.00
</td>
<td>
127.70
</td>
<td>
1191.0
</td>
<td>
0.10320
</td>
<td>
0.09871
</td>
<td>
0.165500
</td>
<td>
0.090630
</td>
<td>
0.1663
</td>
<td>
0.05391
</td>
<td>
0.4674
</td>
<td>
1.3750
</td>
<td>
2.9160
</td>
<td>
56.180
</td>
<td>
0.011900
</td>
<td>
0.019290
</td>
<td>
0.049070
</td>
<td>
0.014990
</td>
<td>
0.016410
</td>
<td>
0.001807
</td>
<td>
21.440
</td>
<td>
30.96
</td>
<td>
139.80
</td>
<td>
1421.0
</td>
<td>
0.15280
</td>
<td>
0.18450
</td>
<td>
0.397700
</td>
<td>
0.146600
</td>
<td>
0.2293
</td>
<td>
0.06091
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
452
</th>
<td>
9111843
</td>
<td>
B
</td>
<td>
12.000
</td>
<td>
28.23
</td>
<td>
76.77
</td>
<td>
442.5
</td>
<td>
0.08437
</td>
<td>
0.06450
</td>
<td>
0.040550
</td>
<td>
0.019450
</td>
<td>
0.1615
</td>
<td>
0.06104
</td>
<td>
0.1912
</td>
<td>
1.7050
</td>
<td>
1.5160
</td>
<td>
13.860
</td>
<td>
0.007334
</td>
<td>
0.025890
</td>
<td>
0.029410
</td>
<td>
0.009166
</td>
<td>
0.017450
</td>
<td>
0.004302
</td>
<td>
13.090
</td>
<td>
37.88
</td>
<td>
85.07
</td>
<td>
523.7
</td>
<td>
0.12080
</td>
<td>
0.18560
</td>
<td>
0.181100
</td>
<td>
0.071160
</td>
<td>
0.2447
</td>
<td>
0.08194
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
453
</th>
<td>
911201
</td>
<td>
B
</td>
<td>
14.530
</td>
<td>
13.98
</td>
<td>
93.86
</td>
<td>
644.2
</td>
<td>
0.10990
</td>
<td>
0.09242
</td>
<td>
0.068950
</td>
<td>
0.064950
</td>
<td>
0.1650
</td>
<td>
0.06121
</td>
<td>
0.3060
</td>
<td>
0.7213
</td>
<td>
2.1430
</td>
<td>
25.700
</td>
<td>
0.006133
</td>
<td>
0.012510
</td>
<td>
0.016150
</td>
<td>
0.011360
</td>
<td>
0.022070
</td>
<td>
0.003563
</td>
<td>
15.800
</td>
<td>
16.93
</td>
<td>
103.10
</td>
<td>
749.9
</td>
<td>
0.13470
</td>
<td>
0.14780
</td>
<td>
0.137300
</td>
<td>
0.106900
</td>
<td>
0.2606
</td>
<td>
0.07810
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
454
</th>
<td>
911202
</td>
<td>
B
</td>
<td>
12.620
</td>
<td>
17.15
</td>
<td>
80.62
</td>
<td>
492.9
</td>
<td>
0.08583
</td>
<td>
0.05430
</td>
<td>
0.029660
</td>
<td>
0.022720
</td>
<td>
0.1799
</td>
<td>
0.05826
</td>
<td>
0.1692
</td>
<td>
0.6674
</td>
<td>
1.1160
</td>
<td>
13.320
</td>
<td>
0.003888
</td>
<td>
0.008539
</td>
<td>
0.012560
</td>
<td>
0.006888
</td>
<td>
0.016080
</td>
<td>
0.001638
</td>
<td>
14.340
</td>
<td>
22.15
</td>
<td>
91.62
</td>
<td>
633.5
</td>
<td>
0.12250
</td>
<td>
0.15170
</td>
<td>
0.188700
</td>
<td>
0.098510
</td>
<td>
0.3270
</td>
<td>
0.07330
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
455
</th>
<td>
9112085
</td>
<td>
B
</td>
<td>
13.380
</td>
<td>
30.72
</td>
<td>
86.34
</td>
<td>
557.2
</td>
<td>
0.09245
</td>
<td>
0.07426
</td>
<td>
0.028190
</td>
<td>
0.032640
</td>
<td>
0.1375
</td>
<td>
0.06016
</td>
<td>
0.3408
</td>
<td>
1.9240
</td>
<td>
2.2870
</td>
<td>
28.930
</td>
<td>
0.005841
</td>
<td>
0.012460
</td>
<td>
0.007936
</td>
<td>
0.009128
</td>
<td>
0.015640
</td>
<td>
0.002985
</td>
<td>
15.050
</td>
<td>
41.61
</td>
<td>
96.69
</td>
<td>
705.6
</td>
<td>
0.11720
</td>
<td>
0.14210
</td>
<td>
0.070030
</td>
<td>
0.077630
</td>
<td>
0.2196
</td>
<td>
0.07675
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
456
</th>
<td>
9112366
</td>
<td>
B
</td>
<td>
11.630
</td>
<td>
29.29
</td>
<td>
74.87
</td>
<td>
415.1
</td>
<td>
0.09357
</td>
<td>
0.08574
</td>
<td>
0.071600
</td>
<td>
0.020170
</td>
<td>
0.1799
</td>
<td>
0.06166
</td>
<td>
0.3135
</td>
<td>
2.4260
</td>
<td>
2.1500
</td>
<td>
23.130
</td>
<td>
0.009861
</td>
<td>
0.024180
</td>
<td>
0.042750
</td>
<td>
0.009215
</td>
<td>
0.024750
</td>
<td>
0.002128
</td>
<td>
13.120
</td>
<td>
38.81
</td>
<td>
86.04
</td>
<td>
527.8
</td>
<td>
0.14060
</td>
<td>
0.20310
</td>
<td>
0.292300
</td>
<td>
0.068350
</td>
<td>
0.2884
</td>
<td>
0.07220
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
457
</th>
<td>
9112367
</td>
<td>
B
</td>
<td>
13.210
</td>
<td>
25.25
</td>
<td>
84.10
</td>
<td>
537.9
</td>
<td>
0.08791
</td>
<td>
0.05205
</td>
<td>
0.027720
</td>
<td>
0.020680
</td>
<td>
0.1619
</td>
<td>
0.05584
</td>
<td>
0.2084
</td>
<td>
1.3500
</td>
<td>
1.3140
</td>
<td>
17.580
</td>
<td>
0.005768
</td>
<td>
0.008082
</td>
<td>
0.015100
</td>
<td>
0.006451
</td>
<td>
0.013470
</td>
<td>
0.001828
</td>
<td>
14.350
</td>
<td>
34.23
</td>
<td>
91.29
</td>
<td>
632.9
</td>
<td>
0.12890
</td>
<td>
0.10630
</td>
<td>
0.139000
</td>
<td>
0.060050
</td>
<td>
0.2444
</td>
<td>
0.06788
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
458
</th>
<td>
9112594
</td>
<td>
B
</td>
<td>
13.000
</td>
<td>
25.13
</td>
<td>
82.61
</td>
<td>
520.2
</td>
<td>
0.08369
</td>
<td>
0.05073
</td>
<td>
0.012060
</td>
<td>
0.017620
</td>
<td>
0.1667
</td>
<td>
0.05449
</td>
<td>
0.2621
</td>
<td>
1.2320
</td>
<td>
1.6570
</td>
<td>
21.190
</td>
<td>
0.006054
</td>
<td>
0.008974
</td>
<td>
0.005681
</td>
<td>
0.006336
</td>
<td>
0.012150
</td>
<td>
0.001514
</td>
<td>
14.340
</td>
<td>
31.88
</td>
<td>
91.06
</td>
<td>
628.5
</td>
<td>
0.12180
</td>
<td>
0.10930
</td>
<td>
0.044620
</td>
<td>
0.059210
</td>
<td>
0.2306
</td>
<td>
0.06291
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
459
</th>
<td>
9112712
</td>
<td>
B
</td>
<td>
9.755
</td>
<td>
28.20
</td>
<td>
61.68
</td>
<td>
290.9
</td>
<td>
0.07984
</td>
<td>
0.04626
</td>
<td>
0.015410
</td>
<td>
0.010430
</td>
<td>
0.1621
</td>
<td>
0.05952
</td>
<td>
0.1781
</td>
<td>
1.6870
</td>
<td>
1.2430
</td>
<td>
11.280
</td>
<td>
0.006588
</td>
<td>
0.012700
</td>
<td>
0.014500
</td>
<td>
0.006104
</td>
<td>
0.015740
</td>
<td>
0.002268
</td>
<td>
10.670
</td>
<td>
36.92
</td>
<td>
68.03
</td>
<td>
349.9
</td>
<td>
0.11100
</td>
<td>
0.11090
</td>
<td>
0.071900
</td>
<td>
0.048660
</td>
<td>
0.2321
</td>
<td>
0.07211
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
460
</th>
<td>
911296201
</td>
<td>
M
</td>
<td>
17.080
</td>
<td>
27.15
</td>
<td>
111.20
</td>
<td>
930.9
</td>
<td>
0.09898
</td>
<td>
0.11100
</td>
<td>
0.100700
</td>
<td>
0.064310
</td>
<td>
0.1793
</td>
<td>
0.06281
</td>
<td>
0.9291
</td>
<td>
1.1520
</td>
<td>
6.0510
</td>
<td>
115.200
</td>
<td>
0.008740
</td>
<td>
0.022190
</td>
<td>
0.027210
</td>
<td>
0.014580
</td>
<td>
0.020450
</td>
<td>
0.004417
</td>
<td>
22.960
</td>
<td>
34.49
</td>
<td>
152.10
</td>
<td>
1648.0
</td>
<td>
0.16000
</td>
<td>
0.24440
</td>
<td>
0.263900
</td>
<td>
0.155500
</td>
<td>
0.3010
</td>
<td>
0.09060
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
461
</th>
<td>
911296202
</td>
<td>
M
</td>
<td>
27.420
</td>
<td>
26.27
</td>
<td>
186.90
</td>
<td>
2501.0
</td>
<td>
0.10840
</td>
<td>
0.19880
</td>
<td>
0.363500
</td>
<td>
0.168900
</td>
<td>
0.2061
</td>
<td>
0.05623
</td>
<td>
2.5470
</td>
<td>
1.3060
</td>
<td>
18.6500
</td>
<td>
542.200
</td>
<td>
0.007650
</td>
<td>
0.053740
</td>
<td>
0.080550
</td>
<td>
0.025980
</td>
<td>
0.016970
</td>
<td>
0.004558
</td>
<td>
36.040
</td>
<td>
31.37
</td>
<td>
251.20
</td>
<td>
4254.0
</td>
<td>
0.13570
</td>
<td>
0.42560
</td>
<td>
0.683300
</td>
<td>
0.262500
</td>
<td>
0.2641
</td>
<td>
0.07427
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
462
</th>
<td>
9113156
</td>
<td>
B
</td>
<td>
14.400
</td>
<td>
26.99
</td>
<td>
92.25
</td>
<td>
646.1
</td>
<td>
0.06995
</td>
<td>
0.05223
</td>
<td>
0.034760
</td>
<td>
0.017370
</td>
<td>
0.1707
</td>
<td>
0.05433
</td>
<td>
0.2315
</td>
<td>
0.9112
</td>
<td>
1.7270
</td>
<td>
20.520
</td>
<td>
0.005356
</td>
<td>
0.016790
</td>
<td>
0.019710
</td>
<td>
0.006370
</td>
<td>
0.014140
</td>
<td>
0.001892
</td>
<td>
15.400
</td>
<td>
31.98
</td>
<td>
100.40
</td>
<td>
734.6
</td>
<td>
0.10170
</td>
<td>
0.14600
</td>
<td>
0.147200
</td>
<td>
0.055630
</td>
<td>
0.2345
</td>
<td>
0.06464
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
463
</th>
<td>
911320501
</td>
<td>
B
</td>
<td>
11.600
</td>
<td>
18.36
</td>
<td>
73.88
</td>
<td>
412.7
</td>
<td>
0.08508
</td>
<td>
0.05855
</td>
<td>
0.033670
</td>
<td>
0.017770
</td>
<td>
0.1516
</td>
<td>
0.05859
</td>
<td>
0.1816
</td>
<td>
0.7656
</td>
<td>
1.3030
</td>
<td>
12.890
</td>
<td>
0.006709
</td>
<td>
0.017010
</td>
<td>
0.020800
</td>
<td>
0.007497
</td>
<td>
0.021240
</td>
<td>
0.002768
</td>
<td>
12.770
</td>
<td>
24.02
</td>
<td>
82.68
</td>
<td>
495.1
</td>
<td>
0.13420
</td>
<td>
0.18080
</td>
<td>
0.186000
</td>
<td>
0.082880
</td>
<td>
0.3210
</td>
<td>
0.07863
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
464
</th>
<td>
911320502
</td>
<td>
B
</td>
<td>
13.170
</td>
<td>
18.22
</td>
<td>
84.28
</td>
<td>
537.3
</td>
<td>
0.07466
</td>
<td>
0.05994
</td>
<td>
0.048590
</td>
<td>
0.028700
</td>
<td>
0.1454
</td>
<td>
0.05549
</td>
<td>
0.2023
</td>
<td>
0.6850
</td>
<td>
1.2360
</td>
<td>
16.890
</td>
<td>
0.005969
</td>
<td>
0.014930
</td>
<td>
0.015640
</td>
<td>
0.008463
</td>
<td>
0.010930
</td>
<td>
0.001672
</td>
<td>
14.900
</td>
<td>
23.89
</td>
<td>
95.10
</td>
<td>
687.6
</td>
<td>
0.12820
</td>
<td>
0.19650
</td>
<td>
0.187600
</td>
<td>
0.104500
</td>
<td>
0.2235
</td>
<td>
0.06925
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
465
</th>
<td>
9113239
</td>
<td>
B
</td>
<td>
13.240
</td>
<td>
20.13
</td>
<td>
86.87
</td>
<td>
542.9
</td>
<td>
0.08284
</td>
<td>
0.12230
</td>
<td>
0.101000
</td>
<td>
0.028330
</td>
<td>
0.1601
</td>
<td>
0.06432
</td>
<td>
0.2810
</td>
<td>
0.8135
</td>
<td>
3.3690
</td>
<td>
23.810
</td>
<td>
0.004929
</td>
<td>
0.066570
</td>
<td>
0.076830
</td>
<td>
0.013680
</td>
<td>
0.015260
</td>
<td>
0.008133
</td>
<td>
15.440
</td>
<td>
25.50
</td>
<td>
115.00
</td>
<td>
733.5
</td>
<td>
0.12010
</td>
<td>
0.56460
</td>
<td>
0.655600
</td>
<td>
0.135700
</td>
<td>
0.2845
</td>
<td>
0.12490
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
466
</th>
<td>
9113455
</td>
<td>
B
</td>
<td>
13.140
</td>
<td>
20.74
</td>
<td>
85.98
</td>
<td>
536.9
</td>
<td>
0.08675
</td>
<td>
0.10890
</td>
<td>
0.108500
</td>
<td>
0.035100
</td>
<td>
0.1562
</td>
<td>
0.06020
</td>
<td>
0.3152
</td>
<td>
0.7884
</td>
<td>
2.3120
</td>
<td>
27.400
</td>
<td>
0.007295
</td>
<td>
0.031790
</td>
<td>
0.046150
</td>
<td>
0.012540
</td>
<td>
0.015610
</td>
<td>
0.003230
</td>
<td>
14.800
</td>
<td>
25.46
</td>
<td>
100.90
</td>
<td>
689.1
</td>
<td>
0.13510
</td>
<td>
0.35490
</td>
<td>
0.450400
</td>
<td>
0.118100
</td>
<td>
0.2563
</td>
<td>
0.08174
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
467
</th>
<td>
9113514
</td>
<td>
B
</td>
<td>
9.668
</td>
<td>
18.10
</td>
<td>
61.06
</td>
<td>
286.3
</td>
<td>
0.08311
</td>
<td>
0.05428
</td>
<td>
0.014790
</td>
<td>
0.005769
</td>
<td>
0.1680
</td>
<td>
0.06412
</td>
<td>
0.3416
</td>
<td>
1.3120
</td>
<td>
2.2750
</td>
<td>
20.980
</td>
<td>
0.010980
</td>
<td>
0.012570
</td>
<td>
0.010310
</td>
<td>
0.003934
</td>
<td>
0.026930
</td>
<td>
0.002979
</td>
<td>
11.150
</td>
<td>
24.62
</td>
<td>
71.11
</td>
<td>
380.2
</td>
<td>
0.13880
</td>
<td>
0.12550
</td>
<td>
0.064090
</td>
<td>
0.025000
</td>
<td>
0.3057
</td>
<td>
0.07875
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
468
</th>
<td>
9113538
</td>
<td>
M
</td>
<td>
17.600
</td>
<td>
23.33
</td>
<td>
119.00
</td>
<td>
980.5
</td>
<td>
0.09289
</td>
<td>
0.20040
</td>
<td>
0.213600
</td>
<td>
0.100200
</td>
<td>
0.1696
</td>
<td>
0.07369
</td>
<td>
0.9289
</td>
<td>
1.4650
</td>
<td>
5.8010
</td>
<td>
104.900
</td>
<td>
0.006766
</td>
<td>
0.070250
</td>
<td>
0.065910
</td>
<td>
0.023110
</td>
<td>
0.016730
</td>
<td>
0.011300
</td>
<td>
21.570
</td>
<td>
28.87
</td>
<td>
143.60
</td>
<td>
1437.0
</td>
<td>
0.12070
</td>
<td>
0.47850
</td>
<td>
0.516500
</td>
<td>
0.199600
</td>
<td>
0.2301
</td>
<td>
0.12240
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
469
</th>
<td>
911366
</td>
<td>
B
</td>
<td>
11.620
</td>
<td>
18.18
</td>
<td>
76.38
</td>
<td>
408.8
</td>
<td>
0.11750
</td>
<td>
0.14830
</td>
<td>
0.102000
</td>
<td>
0.055640
</td>
<td>
0.1957
</td>
<td>
0.07255
</td>
<td>
0.4101
</td>
<td>
1.7400
</td>
<td>
3.0270
</td>
<td>
27.850
</td>
<td>
0.014590
</td>
<td>
0.032060
</td>
<td>
0.049610
</td>
<td>
0.018410
</td>
<td>
0.018070
</td>
<td>
0.005217
</td>
<td>
13.360
</td>
<td>
25.40
</td>
<td>
88.14
</td>
<td>
528.1
</td>
<td>
0.17800
</td>
<td>
0.28780
</td>
<td>
0.318600
</td>
<td>
0.141600
</td>
<td>
0.2660
</td>
<td>
0.09270
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
470
</th>
<td>
9113778
</td>
<td>
B
</td>
<td>
9.667
</td>
<td>
18.49
</td>
<td>
61.49
</td>
<td>
289.1
</td>
<td>
0.08946
</td>
<td>
0.06258
</td>
<td>
0.029480
</td>
<td>
0.015140
</td>
<td>
0.2238
</td>
<td>
0.06413
</td>
<td>
0.3776
</td>
<td>
1.3500
</td>
<td>
2.5690
</td>
<td>
22.730
</td>
<td>
0.007501
</td>
<td>
0.019890
</td>
<td>
0.027140
</td>
<td>
0.009883
</td>
<td>
0.019600
</td>
<td>
0.003913
</td>
<td>
11.140
</td>
<td>
25.62
</td>
<td>
70.88
</td>
<td>
385.2
</td>
<td>
0.12340
</td>
<td>
0.15420
</td>
<td>
0.127700
</td>
<td>
0.065600
</td>
<td>
0.3174
</td>
<td>
0.08524
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
471
</th>
<td>
9113816
</td>
<td>
B
</td>
<td>
12.040
</td>
<td>
28.14
</td>
<td>
76.85
</td>
<td>
449.9
</td>
<td>
0.08752
</td>
<td>
0.06000
</td>
<td>
0.023670
</td>
<td>
0.023770
</td>
<td>
0.1854
</td>
<td>
0.05698
</td>
<td>
0.6061
</td>
<td>
2.6430
</td>
<td>
4.0990
</td>
<td>
44.960
</td>
<td>
0.007517
</td>
<td>
0.015550
</td>
<td>
0.014650
</td>
<td>
0.011830
</td>
<td>
0.020470
</td>
<td>
0.003883
</td>
<td>
13.600
</td>
<td>
33.33
</td>
<td>
87.24
</td>
<td>
567.6
</td>
<td>
0.10410
</td>
<td>
0.09726
</td>
<td>
0.055240
</td>
<td>
0.055470
</td>
<td>
0.2404
</td>
<td>
0.06639
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
472
</th>
<td>
911384
</td>
<td>
B
</td>
<td>
14.920
</td>
<td>
14.93
</td>
<td>
96.45
</td>
<td>
686.9
</td>
<td>
0.08098
</td>
<td>
0.08549
</td>
<td>
0.055390
</td>
<td>
0.032210
</td>
<td>
0.1687
</td>
<td>
0.05669
</td>
<td>
0.2446
</td>
<td>
0.4334
</td>
<td>
1.8260
</td>
<td>
23.310
</td>
<td>
0.003271
</td>
<td>
0.017700
</td>
<td>
0.023100
</td>
<td>
0.008399
</td>
<td>
0.011480
</td>
<td>
0.002379
</td>
<td>
17.180
</td>
<td>
18.22
</td>
<td>
112.00
</td>
<td>
906.6
</td>
<td>
0.10650
</td>
<td>
0.27910
</td>
<td>
0.315100
</td>
<td>
0.114700
</td>
<td>
0.2688
</td>
<td>
0.08273
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
473
</th>
<td>
9113846
</td>
<td>
B
</td>
<td>
12.270
</td>
<td>
29.97
</td>
<td>
77.42
</td>
<td>
465.4
</td>
<td>
0.07699
</td>
<td>
0.03398
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1701
</td>
<td>
0.05960
</td>
<td>
0.4455
</td>
<td>
3.6470
</td>
<td>
2.8840
</td>
<td>
35.130
</td>
<td>
0.007339
</td>
<td>
0.008243
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.031410
</td>
<td>
0.003136
</td>
<td>
13.450
</td>
<td>
38.05
</td>
<td>
85.08
</td>
<td>
558.9
</td>
<td>
0.09422
</td>
<td>
0.05213
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2409
</td>
<td>
0.06743
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
474
</th>
<td>
911391
</td>
<td>
B
</td>
<td>
10.880
</td>
<td>
15.62
</td>
<td>
70.41
</td>
<td>
358.9
</td>
<td>
0.10070
</td>
<td>
0.10690
</td>
<td>
0.051150
</td>
<td>
0.015710
</td>
<td>
0.1861
</td>
<td>
0.06837
</td>
<td>
0.1482
</td>
<td>
0.5380
</td>
<td>
1.3010
</td>
<td>
9.597
</td>
<td>
0.004474
</td>
<td>
0.030930
</td>
<td>
0.027570
</td>
<td>
0.006691
</td>
<td>
0.012120
</td>
<td>
0.004672
</td>
<td>
11.940
</td>
<td>
19.35
</td>
<td>
80.78
</td>
<td>
433.1
</td>
<td>
0.13320
</td>
<td>
0.38980
</td>
<td>
0.336500
</td>
<td>
0.079660
</td>
<td>
0.2581
</td>
<td>
0.10800
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
475
</th>
<td>
911408
</td>
<td>
B
</td>
<td>
12.830
</td>
<td>
15.73
</td>
<td>
82.89
</td>
<td>
506.9
</td>
<td>
0.09040
</td>
<td>
0.08269
</td>
<td>
0.058350
</td>
<td>
0.030780
</td>
<td>
0.1705
</td>
<td>
0.05913
</td>
<td>
0.1499
</td>
<td>
0.4875
</td>
<td>
1.1950
</td>
<td>
11.640
</td>
<td>
0.004873
</td>
<td>
0.017960
</td>
<td>
0.033180
</td>
<td>
0.008360
</td>
<td>
0.016010
</td>
<td>
0.002289
</td>
<td>
14.090
</td>
<td>
19.35
</td>
<td>
93.22
</td>
<td>
605.8
</td>
<td>
0.13260
</td>
<td>
0.26100
</td>
<td>
0.347600
</td>
<td>
0.097830
</td>
<td>
0.3006
</td>
<td>
0.07802
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
476
</th>
<td>
911654
</td>
<td>
B
</td>
<td>
14.200
</td>
<td>
20.53
</td>
<td>
92.41
</td>
<td>
618.4
</td>
<td>
0.08931
</td>
<td>
0.11080
</td>
<td>
0.050630
</td>
<td>
0.030580
</td>
<td>
0.1506
</td>
<td>
0.06009
</td>
<td>
0.3478
</td>
<td>
1.0180
</td>
<td>
2.7490
</td>
<td>
31.010
</td>
<td>
0.004107
</td>
<td>
0.032880
</td>
<td>
0.028210
</td>
<td>
0.013500
</td>
<td>
0.016100
</td>
<td>
0.002744
</td>
<td>
16.450
</td>
<td>
27.26
</td>
<td>
112.10
</td>
<td>
828.5
</td>
<td>
0.11530
</td>
<td>
0.34290
</td>
<td>
0.251200
</td>
<td>
0.133900
</td>
<td>
0.2534
</td>
<td>
0.07858
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
477
</th>
<td>
911673
</td>
<td>
B
</td>
<td>
13.900
</td>
<td>
16.62
</td>
<td>
88.97
</td>
<td>
599.4
</td>
<td>
0.06828
</td>
<td>
0.05319
</td>
<td>
0.022240
</td>
<td>
0.013390
</td>
<td>
0.1813
</td>
<td>
0.05536
</td>
<td>
0.1555
</td>
<td>
0.5762
</td>
<td>
1.3920
</td>
<td>
14.030
</td>
<td>
0.003308
</td>
<td>
0.013150
</td>
<td>
0.009904
</td>
<td>
0.004832
</td>
<td>
0.013160
</td>
<td>
0.002095
</td>
<td>
15.140
</td>
<td>
21.80
</td>
<td>
101.20
</td>
<td>
718.9
</td>
<td>
0.09384
</td>
<td>
0.20060
</td>
<td>
0.138400
</td>
<td>
0.062220
</td>
<td>
0.2679
</td>
<td>
0.07698
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
478
</th>
<td>
911685
</td>
<td>
B
</td>
<td>
11.490
</td>
<td>
14.59
</td>
<td>
73.99
</td>
<td>
404.9
</td>
<td>
0.10460
</td>
<td>
0.08228
</td>
<td>
0.053080
</td>
<td>
0.019690
</td>
<td>
0.1779
</td>
<td>
0.06574
</td>
<td>
0.2034
</td>
<td>
1.1660
</td>
<td>
1.5670
</td>
<td>
14.340
</td>
<td>
0.004957
</td>
<td>
0.021140
</td>
<td>
0.041560
</td>
<td>
0.008038
</td>
<td>
0.018430
</td>
<td>
0.003614
</td>
<td>
12.400
</td>
<td>
21.90
</td>
<td>
82.04
</td>
<td>
467.6
</td>
<td>
0.13520
</td>
<td>
0.20100
</td>
<td>
0.259600
</td>
<td>
0.074310
</td>
<td>
0.2941
</td>
<td>
0.09180
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
479
</th>
<td>
911916
</td>
<td>
M
</td>
<td>
16.250
</td>
<td>
19.51
</td>
<td>
109.80
</td>
<td>
815.8
</td>
<td>
0.10260
</td>
<td>
0.18930
</td>
<td>
0.223600
</td>
<td>
0.091940
</td>
<td>
0.2151
</td>
<td>
0.06578
</td>
<td>
0.3147
</td>
<td>
0.9857
</td>
<td>
3.0700
</td>
<td>
33.120
</td>
<td>
0.009197
</td>
<td>
0.054700
</td>
<td>
0.080790
</td>
<td>
0.022150
</td>
<td>
0.027730
</td>
<td>
0.006355
</td>
<td>
17.390
</td>
<td>
23.05
</td>
<td>
122.10
</td>
<td>
939.7
</td>
<td>
0.13770
</td>
<td>
0.44620
</td>
<td>
0.589700
</td>
<td>
0.177500
</td>
<td>
0.3318
</td>
<td>
0.09136
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
480
</th>
<td>
912193
</td>
<td>
B
</td>
<td>
12.160
</td>
<td>
18.03
</td>
<td>
78.29
</td>
<td>
455.3
</td>
<td>
0.09087
</td>
<td>
0.07838
</td>
<td>
0.029160
</td>
<td>
0.015270
</td>
<td>
0.1464
</td>
<td>
0.06284
</td>
<td>
0.2194
</td>
<td>
1.1900
</td>
<td>
1.6780
</td>
<td>
16.260
</td>
<td>
0.004911
</td>
<td>
0.016660
</td>
<td>
0.013970
</td>
<td>
0.005161
</td>
<td>
0.014540
</td>
<td>
0.001858
</td>
<td>
13.340
</td>
<td>
27.87
</td>
<td>
88.83
</td>
<td>
547.4
</td>
<td>
0.12080
</td>
<td>
0.22790
</td>
<td>
0.162000
</td>
<td>
0.056900
</td>
<td>
0.2406
</td>
<td>
0.07729
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
481
</th>
<td>
91227
</td>
<td>
B
</td>
<td>
13.900
</td>
<td>
19.24
</td>
<td>
88.73
</td>
<td>
602.9
</td>
<td>
0.07991
</td>
<td>
0.05326
</td>
<td>
0.029950
</td>
<td>
0.020700
</td>
<td>
0.1579
</td>
<td>
0.05594
</td>
<td>
0.3316
</td>
<td>
0.9264
</td>
<td>
2.0560
</td>
<td>
28.410
</td>
<td>
0.003704
</td>
<td>
0.010820
</td>
<td>
0.015300
</td>
<td>
0.006275
</td>
<td>
0.010620
</td>
<td>
0.002217
</td>
<td>
16.410
</td>
<td>
26.42
</td>
<td>
104.40
</td>
<td>
830.5
</td>
<td>
0.10640
</td>
<td>
0.14150
</td>
<td>
0.167300
</td>
<td>
0.081500
</td>
<td>
0.2356
</td>
<td>
0.07603
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
482
</th>
<td>
912519
</td>
<td>
B
</td>
<td>
13.470
</td>
<td>
14.06
</td>
<td>
87.32
</td>
<td>
546.3
</td>
<td>
0.10710
</td>
<td>
0.11550
</td>
<td>
0.057860
</td>
<td>
0.052660
</td>
<td>
0.1779
</td>
<td>
0.06639
</td>
<td>
0.1588
</td>
<td>
0.5733
</td>
<td>
1.1020
</td>
<td>
12.840
</td>
<td>
0.004450
</td>
<td>
0.014520
</td>
<td>
0.013340
</td>
<td>
0.008791
</td>
<td>
0.016980
</td>
<td>
0.002787
</td>
<td>
14.830
</td>
<td>
18.32
</td>
<td>
94.94
</td>
<td>
660.2
</td>
<td>
0.13930
</td>
<td>
0.24990
</td>
<td>
0.184800
</td>
<td>
0.133500
</td>
<td>
0.3227
</td>
<td>
0.09326
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
483
</th>
<td>
912558
</td>
<td>
B
</td>
<td>
13.700
</td>
<td>
17.64
</td>
<td>
87.76
</td>
<td>
571.1
</td>
<td>
0.09950
</td>
<td>
0.07957
</td>
<td>
0.045480
</td>
<td>
0.031600
</td>
<td>
0.1732
</td>
<td>
0.06088
</td>
<td>
0.2431
</td>
<td>
0.9462
</td>
<td>
1.5640
</td>
<td>
20.640
</td>
<td>
0.003245
</td>
<td>
0.008186
</td>
<td>
0.016980
</td>
<td>
0.009233
</td>
<td>
0.012850
</td>
<td>
0.001524
</td>
<td>
14.960
</td>
<td>
23.53
</td>
<td>
95.78
</td>
<td>
686.5
</td>
<td>
0.11990
</td>
<td>
0.13460
</td>
<td>
0.174200
</td>
<td>
0.090770
</td>
<td>
0.2518
</td>
<td>
0.06960
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
484
</th>
<td>
912600
</td>
<td>
B
</td>
<td>
15.730
</td>
<td>
11.28
</td>
<td>
102.80
</td>
<td>
747.2
</td>
<td>
0.10430
</td>
<td>
0.12990
</td>
<td>
0.119100
</td>
<td>
0.062110
</td>
<td>
0.1784
</td>
<td>
0.06259
</td>
<td>
0.1630
</td>
<td>
0.3871
</td>
<td>
1.1430
</td>
<td>
13.870
</td>
<td>
0.006034
</td>
<td>
0.018200
</td>
<td>
0.033360
</td>
<td>
0.010670
</td>
<td>
0.011750
</td>
<td>
0.002256
</td>
<td>
17.010
</td>
<td>
14.20
</td>
<td>
112.50
</td>
<td>
854.3
</td>
<td>
0.15410
</td>
<td>
0.29790
</td>
<td>
0.400400
</td>
<td>
0.145200
</td>
<td>
0.2557
</td>
<td>
0.08181
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
485
</th>
<td>
913063
</td>
<td>
B
</td>
<td>
12.450
</td>
<td>
16.41
</td>
<td>
82.85
</td>
<td>
476.7
</td>
<td>
0.09514
</td>
<td>
0.15110
</td>
<td>
0.154400
</td>
<td>
0.048460
</td>
<td>
0.2082
</td>
<td>
0.07325
</td>
<td>
0.3921
</td>
<td>
1.2070
</td>
<td>
5.0040
</td>
<td>
30.190
</td>
<td>
0.007234
</td>
<td>
0.074710
</td>
<td>
0.111400
</td>
<td>
0.027210
</td>
<td>
0.032320
</td>
<td>
0.009627
</td>
<td>
13.780
</td>
<td>
21.03
</td>
<td>
97.82
</td>
<td>
580.6
</td>
<td>
0.11750
</td>
<td>
0.40610
</td>
<td>
0.489600
</td>
<td>
0.134200
</td>
<td>
0.3231
</td>
<td>
0.10340
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
486
</th>
<td>
913102
</td>
<td>
B
</td>
<td>
14.640
</td>
<td>
16.85
</td>
<td>
94.21
</td>
<td>
666.0
</td>
<td>
0.08641
</td>
<td>
0.06698
</td>
<td>
0.051920
</td>
<td>
0.027910
</td>
<td>
0.1409
</td>
<td>
0.05355
</td>
<td>
0.2204
</td>
<td>
1.0060
</td>
<td>
1.4710
</td>
<td>
19.980
</td>
<td>
0.003535
</td>
<td>
0.013930
</td>
<td>
0.018000
</td>
<td>
0.006144
</td>
<td>
0.012540
</td>
<td>
0.001219
</td>
<td>
16.460
</td>
<td>
25.44
</td>
<td>
106.00
</td>
<td>
831.0
</td>
<td>
0.11420
</td>
<td>
0.20700
</td>
<td>
0.243700
</td>
<td>
0.078280
</td>
<td>
0.2455
</td>
<td>
0.06596
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
487
</th>
<td>
913505
</td>
<td>
M
</td>
<td>
19.440
</td>
<td>
18.82
</td>
<td>
128.10
</td>
<td>
1167.0
</td>
<td>
0.10890
</td>
<td>
0.14480
</td>
<td>
0.225600
</td>
<td>
0.119400
</td>
<td>
0.1823
</td>
<td>
0.06115
</td>
<td>
0.5659
</td>
<td>
1.4080
</td>
<td>
3.6310
</td>
<td>
67.740
</td>
<td>
0.005288
</td>
<td>
0.028330
</td>
<td>
0.042560
</td>
<td>
0.011760
</td>
<td>
0.017170
</td>
<td>
0.003211
</td>
<td>
23.960
</td>
<td>
30.39
</td>
<td>
153.90
</td>
<td>
1740.0
</td>
<td>
0.15140
</td>
<td>
0.37250
</td>
<td>
0.593600
</td>
<td>
0.206000
</td>
<td>
0.3266
</td>
<td>
0.09009
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
488
</th>
<td>
913512
</td>
<td>
B
</td>
<td>
11.680
</td>
<td>
16.17
</td>
<td>
75.49
</td>
<td>
420.5
</td>
<td>
0.11280
</td>
<td>
0.09263
</td>
<td>
0.042790
</td>
<td>
0.031320
</td>
<td>
0.1853
</td>
<td>
0.06401
</td>
<td>
0.3713
</td>
<td>
1.1540
</td>
<td>
2.5540
</td>
<td>
27.570
</td>
<td>
0.008998
</td>
<td>
0.012920
</td>
<td>
0.018510
</td>
<td>
0.011670
</td>
<td>
0.021520
</td>
<td>
0.003213
</td>
<td>
13.320
</td>
<td>
21.59
</td>
<td>
86.57
</td>
<td>
549.8
</td>
<td>
0.15260
</td>
<td>
0.14770
</td>
<td>
0.149000
</td>
<td>
0.098150
</td>
<td>
0.2804
</td>
<td>
0.08024
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
489
</th>
<td>
913535
</td>
<td>
M
</td>
<td>
16.690
</td>
<td>
20.20
</td>
<td>
107.10
</td>
<td>
857.6
</td>
<td>
0.07497
</td>
<td>
0.07112
</td>
<td>
0.036490
</td>
<td>
0.023070
</td>
<td>
0.1846
</td>
<td>
0.05325
</td>
<td>
0.2473
</td>
<td>
0.5679
</td>
<td>
1.7750
</td>
<td>
22.950
</td>
<td>
0.002667
</td>
<td>
0.014460
</td>
<td>
0.014230
</td>
<td>
0.005297
</td>
<td>
0.019610
</td>
<td>
0.001700
</td>
<td>
19.180
</td>
<td>
26.56
</td>
<td>
127.30
</td>
<td>
1084.0
</td>
<td>
0.10090
</td>
<td>
0.29200
</td>
<td>
0.247700
</td>
<td>
0.087370
</td>
<td>
0.4677
</td>
<td>
0.07623
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
490
</th>
<td>
91376701
</td>
<td>
B
</td>
<td>
12.250
</td>
<td>
22.44
</td>
<td>
78.18
</td>
<td>
466.5
</td>
<td>
0.08192
</td>
<td>
0.05200
</td>
<td>
0.017140
</td>
<td>
0.012610
</td>
<td>
0.1544
</td>
<td>
0.05976
</td>
<td>
0.2239
</td>
<td>
1.1390
</td>
<td>
1.5770
</td>
<td>
18.040
</td>
<td>
0.005096
</td>
<td>
0.012050
</td>
<td>
0.009410
</td>
<td>
0.004551
</td>
<td>
0.016080
</td>
<td>
0.002399
</td>
<td>
14.170
</td>
<td>
31.99
</td>
<td>
92.74
</td>
<td>
622.9
</td>
<td>
0.12560
</td>
<td>
0.18040
</td>
<td>
0.123000
</td>
<td>
0.063350
</td>
<td>
0.3100
</td>
<td>
0.08203
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
491
</th>
<td>
91376702
</td>
<td>
B
</td>
<td>
17.850
</td>
<td>
13.23
</td>
<td>
114.60
</td>
<td>
992.1
</td>
<td>
0.07838
</td>
<td>
0.06217
</td>
<td>
0.044450
</td>
<td>
0.041780
</td>
<td>
0.1220
</td>
<td>
0.05243
</td>
<td>
0.4834
</td>
<td>
1.0460
</td>
<td>
3.1630
</td>
<td>
50.950
</td>
<td>
0.004369
</td>
<td>
0.008274
</td>
<td>
0.011530
</td>
<td>
0.007437
</td>
<td>
0.013020
</td>
<td>
0.001309
</td>
<td>
19.820
</td>
<td>
18.42
</td>
<td>
127.10
</td>
<td>
1210.0
</td>
<td>
0.09862
</td>
<td>
0.09976
</td>
<td>
0.104800
</td>
<td>
0.083410
</td>
<td>
0.1783
</td>
<td>
0.05871
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
492
</th>
<td>
914062
</td>
<td>
M
</td>
<td>
18.010
</td>
<td>
20.56
</td>
<td>
118.40
</td>
<td>
1007.0
</td>
<td>
0.10010
</td>
<td>
0.12890
</td>
<td>
0.117000
</td>
<td>
0.077620
</td>
<td>
0.2116
</td>
<td>
0.06077
</td>
<td>
0.7548
</td>
<td>
1.2880
</td>
<td>
5.3530
</td>
<td>
89.740
</td>
<td>
0.007997
</td>
<td>
0.027000
</td>
<td>
0.037370
</td>
<td>
0.016480
</td>
<td>
0.028970
</td>
<td>
0.003996
</td>
<td>
21.530
</td>
<td>
26.06
</td>
<td>
143.40
</td>
<td>
1426.0
</td>
<td>
0.13090
</td>
<td>
0.23270
</td>
<td>
0.254400
</td>
<td>
0.148900
</td>
<td>
0.3251
</td>
<td>
0.07625
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
493
</th>
<td>
914101
</td>
<td>
B
</td>
<td>
12.460
</td>
<td>
12.83
</td>
<td>
78.83
</td>
<td>
477.3
</td>
<td>
0.07372
</td>
<td>
0.04043
</td>
<td>
0.007173
</td>
<td>
0.011490
</td>
<td>
0.1613
</td>
<td>
0.06013
</td>
<td>
0.3276
</td>
<td>
1.4860
</td>
<td>
2.1080
</td>
<td>
24.600
</td>
<td>
0.010390
</td>
<td>
0.010030
</td>
<td>
0.006416
</td>
<td>
0.007895
</td>
<td>
0.028690
</td>
<td>
0.004821
</td>
<td>
13.190
</td>
<td>
16.36
</td>
<td>
83.24
</td>
<td>
534.0
</td>
<td>
0.09439
</td>
<td>
0.06477
</td>
<td>
0.016740
</td>
<td>
0.026800
</td>
<td>
0.2280
</td>
<td>
0.07028
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
494
</th>
<td>
914102
</td>
<td>
B
</td>
<td>
13.160
</td>
<td>
20.54
</td>
<td>
84.06
</td>
<td>
538.7
</td>
<td>
0.07335
</td>
<td>
0.05275
</td>
<td>
0.018000
</td>
<td>
0.012560
</td>
<td>
0.1713
</td>
<td>
0.05888
</td>
<td>
0.3237
</td>
<td>
1.4730
</td>
<td>
2.3260
</td>
<td>
26.070
</td>
<td>
0.007802
</td>
<td>
0.020520
</td>
<td>
0.013410
</td>
<td>
0.005564
</td>
<td>
0.020860
</td>
<td>
0.002701
</td>
<td>
14.500
</td>
<td>
28.46
</td>
<td>
95.29
</td>
<td>
648.3
</td>
<td>
0.11180
</td>
<td>
0.16460
</td>
<td>
0.076980
</td>
<td>
0.041950
</td>
<td>
0.2687
</td>
<td>
0.07429
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
495
</th>
<td>
914333
</td>
<td>
B
</td>
<td>
14.870
</td>
<td>
20.21
</td>
<td>
96.12
</td>
<td>
680.9
</td>
<td>
0.09587
</td>
<td>
0.08345
</td>
<td>
0.068240
</td>
<td>
0.049510
</td>
<td>
0.1487
</td>
<td>
0.05748
</td>
<td>
0.2323
</td>
<td>
1.6360
</td>
<td>
1.5960
</td>
<td>
21.840
</td>
<td>
0.005415
</td>
<td>
0.013710
</td>
<td>
0.021530
</td>
<td>
0.011830
</td>
<td>
0.019590
</td>
<td>
0.001812
</td>
<td>
16.010
</td>
<td>
28.48
</td>
<td>
103.90
</td>
<td>
783.6
</td>
<td>
0.12160
</td>
<td>
0.13880
</td>
<td>
0.170000
</td>
<td>
0.101700
</td>
<td>
0.2369
</td>
<td>
0.06599
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
496
</th>
<td>
914366
</td>
<td>
B
</td>
<td>
12.650
</td>
<td>
18.17
</td>
<td>
82.69
</td>
<td>
485.6
</td>
<td>
0.10760
</td>
<td>
0.13340
</td>
<td>
0.080170
</td>
<td>
0.050740
</td>
<td>
0.1641
</td>
<td>
0.06854
</td>
<td>
0.2324
</td>
<td>
0.6332
</td>
<td>
1.6960
</td>
<td>
18.400
</td>
<td>
0.005704
</td>
<td>
0.025020
</td>
<td>
0.026360
</td>
<td>
0.010320
</td>
<td>
0.017590
</td>
<td>
0.003563
</td>
<td>
14.380
</td>
<td>
22.15
</td>
<td>
95.29
</td>
<td>
633.7
</td>
<td>
0.15330
</td>
<td>
0.38420
</td>
<td>
0.358200
</td>
<td>
0.140700
</td>
<td>
0.3230
</td>
<td>
0.10330
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
497
</th>
<td>
914580
</td>
<td>
B
</td>
<td>
12.470
</td>
<td>
17.31
</td>
<td>
80.45
</td>
<td>
480.1
</td>
<td>
0.08928
</td>
<td>
0.07630
</td>
<td>
0.036090
</td>
<td>
0.023690
</td>
<td>
0.1526
</td>
<td>
0.06046
</td>
<td>
0.1532
</td>
<td>
0.7810
</td>
<td>
1.2530
</td>
<td>
11.910
</td>
<td>
0.003796
</td>
<td>
0.013710
</td>
<td>
0.013460
</td>
<td>
0.007096
</td>
<td>
0.015360
</td>
<td>
0.001541
</td>
<td>
14.060
</td>
<td>
24.34
</td>
<td>
92.82
</td>
<td>
607.3
</td>
<td>
0.12760
</td>
<td>
0.25060
</td>
<td>
0.202800
</td>
<td>
0.105300
</td>
<td>
0.3035
</td>
<td>
0.07661
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
498
</th>
<td>
914769
</td>
<td>
M
</td>
<td>
18.490
</td>
<td>
17.52
</td>
<td>
121.30
</td>
<td>
1068.0
</td>
<td>
0.10120
</td>
<td>
0.13170
</td>
<td>
0.149100
</td>
<td>
0.091830
</td>
<td>
0.1832
</td>
<td>
0.06697
</td>
<td>
0.7923
</td>
<td>
1.0450
</td>
<td>
4.8510
</td>
<td>
95.770
</td>
<td>
0.007974
</td>
<td>
0.032140
</td>
<td>
0.044350
</td>
<td>
0.015730
</td>
<td>
0.016170
</td>
<td>
0.005255
</td>
<td>
22.750
</td>
<td>
22.88
</td>
<td>
146.40
</td>
<td>
1600.0
</td>
<td>
0.14120
</td>
<td>
0.30890
</td>
<td>
0.353300
</td>
<td>
0.166300
</td>
<td>
0.2510
</td>
<td>
0.09445
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
499
</th>
<td>
91485
</td>
<td>
M
</td>
<td>
20.590
</td>
<td>
21.24
</td>
<td>
137.80
</td>
<td>
1320.0
</td>
<td>
0.10850
</td>
<td>
0.16440
</td>
<td>
0.218800
</td>
<td>
0.112100
</td>
<td>
0.1848
</td>
<td>
0.06222
</td>
<td>
0.5904
</td>
<td>
1.2160
</td>
<td>
4.2060
</td>
<td>
75.090
</td>
<td>
0.006666
</td>
<td>
0.027910
</td>
<td>
0.040620
</td>
<td>
0.014790
</td>
<td>
0.011170
</td>
<td>
0.003727
</td>
<td>
23.860
</td>
<td>
30.76
</td>
<td>
163.20
</td>
<td>
1760.0
</td>
<td>
0.14640
</td>
<td>
0.35970
</td>
<td>
0.517900
</td>
<td>
0.211300
</td>
<td>
0.2480
</td>
<td>
0.08999
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
500
</th>
<td>
914862
</td>
<td>
B
</td>
<td>
15.040
</td>
<td>
16.74
</td>
<td>
98.73
</td>
<td>
689.4
</td>
<td>
0.09883
</td>
<td>
0.13640
</td>
<td>
0.077210
</td>
<td>
0.061420
</td>
<td>
0.1668
</td>
<td>
0.06869
</td>
<td>
0.3720
</td>
<td>
0.8423
</td>
<td>
2.3040
</td>
<td>
34.840
</td>
<td>
0.004123
</td>
<td>
0.018190
</td>
<td>
0.019960
</td>
<td>
0.010040
</td>
<td>
0.010550
</td>
<td>
0.003237
</td>
<td>
16.760
</td>
<td>
20.43
</td>
<td>
109.70
</td>
<td>
856.9
</td>
<td>
0.11350
</td>
<td>
0.21760
</td>
<td>
0.185600
</td>
<td>
0.101800
</td>
<td>
0.2177
</td>
<td>
0.08549
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
501
</th>
<td>
91504
</td>
<td>
M
</td>
<td>
13.820
</td>
<td>
24.49
</td>
<td>
92.33
</td>
<td>
595.9
</td>
<td>
0.11620
</td>
<td>
0.16810
</td>
<td>
0.135700
</td>
<td>
0.067590
</td>
<td>
0.2275
</td>
<td>
0.07237
</td>
<td>
0.4751
</td>
<td>
1.5280
</td>
<td>
2.9740
</td>
<td>
39.050
</td>
<td>
0.009680
</td>
<td>
0.038560
</td>
<td>
0.034760
</td>
<td>
0.016160
</td>
<td>
0.024340
</td>
<td>
0.006995
</td>
<td>
16.010
</td>
<td>
32.94
</td>
<td>
106.00
</td>
<td>
788.0
</td>
<td>
0.17940
</td>
<td>
0.39660
</td>
<td>
0.338100
</td>
<td>
0.152100
</td>
<td>
0.3651
</td>
<td>
0.11830
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
502
</th>
<td>
91505
</td>
<td>
B
</td>
<td>
12.540
</td>
<td>
16.32
</td>
<td>
81.25
</td>
<td>
476.3
</td>
<td>
0.11580
</td>
<td>
0.10850
</td>
<td>
0.059280
</td>
<td>
0.032790
</td>
<td>
0.1943
</td>
<td>
0.06612
</td>
<td>
0.2577
</td>
<td>
1.0950
</td>
<td>
1.5660
</td>
<td>
18.490
</td>
<td>
0.009702
</td>
<td>
0.015670
</td>
<td>
0.025750
</td>
<td>
0.011610
</td>
<td>
0.028010
</td>
<td>
0.002480
</td>
<td>
13.570
</td>
<td>
21.40
</td>
<td>
86.67
</td>
<td>
552.0
</td>
<td>
0.15800
</td>
<td>
0.17510
</td>
<td>
0.188900
</td>
<td>
0.084110
</td>
<td>
0.3155
</td>
<td>
0.07538
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
503
</th>
<td>
915143
</td>
<td>
M
</td>
<td>
23.090
</td>
<td>
19.83
</td>
<td>
152.10
</td>
<td>
1682.0
</td>
<td>
0.09342
</td>
<td>
0.12750
</td>
<td>
0.167600
</td>
<td>
0.100300
</td>
<td>
0.1505
</td>
<td>
0.05484
</td>
<td>
1.2910
</td>
<td>
0.7452
</td>
<td>
9.6350
</td>
<td>
180.200
</td>
<td>
0.005753
</td>
<td>
0.033560
</td>
<td>
0.039760
</td>
<td>
0.021560
</td>
<td>
0.022010
</td>
<td>
0.002897
</td>
<td>
30.790
</td>
<td>
23.87
</td>
<td>
211.50
</td>
<td>
2782.0
</td>
<td>
0.11990
</td>
<td>
0.36250
</td>
<td>
0.379400
</td>
<td>
0.226400
</td>
<td>
0.2908
</td>
<td>
0.07277
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
504
</th>
<td>
915186
</td>
<td>
B
</td>
<td>
9.268
</td>
<td>
12.87
</td>
<td>
61.49
</td>
<td>
248.7
</td>
<td>
0.16340
</td>
<td>
0.22390
</td>
<td>
0.097300
</td>
<td>
0.052520
</td>
<td>
0.2378
</td>
<td>
0.09502
</td>
<td>
0.4076
</td>
<td>
1.0930
</td>
<td>
3.0140
</td>
<td>
20.040
</td>
<td>
0.009783
</td>
<td>
0.045420
</td>
<td>
0.034830
</td>
<td>
0.021880
</td>
<td>
0.025420
</td>
<td>
0.010450
</td>
<td>
10.280
</td>
<td>
16.38
</td>
<td>
69.05
</td>
<td>
300.2
</td>
<td>
0.19020
</td>
<td>
0.34410
</td>
<td>
0.209900
</td>
<td>
0.102500
</td>
<td>
0.3038
</td>
<td>
0.12520
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
505
</th>
<td>
915276
</td>
<td>
B
</td>
<td>
9.676
</td>
<td>
13.14
</td>
<td>
64.12
</td>
<td>
272.5
</td>
<td>
0.12550
</td>
<td>
0.22040
</td>
<td>
0.118800
</td>
<td>
0.070380
</td>
<td>
0.2057
</td>
<td>
0.09575
</td>
<td>
0.2744
</td>
<td>
1.3900
</td>
<td>
1.7870
</td>
<td>
17.670
</td>
<td>
0.021770
</td>
<td>
0.048880
</td>
<td>
0.051890
</td>
<td>
0.014500
</td>
<td>
0.026320
</td>
<td>
0.011480
</td>
<td>
10.600
</td>
<td>
18.04
</td>
<td>
69.47
</td>
<td>
328.1
</td>
<td>
0.20060
</td>
<td>
0.36630
</td>
<td>
0.291300
</td>
<td>
0.107500
</td>
<td>
0.2848
</td>
<td>
0.13640
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
506
</th>
<td>
91544001
</td>
<td>
B
</td>
<td>
12.220
</td>
<td>
20.04
</td>
<td>
79.47
</td>
<td>
453.1
</td>
<td>
0.10960
</td>
<td>
0.11520
</td>
<td>
0.081750
</td>
<td>
0.021660
</td>
<td>
0.2124
</td>
<td>
0.06894
</td>
<td>
0.1811
</td>
<td>
0.7959
</td>
<td>
0.9857
</td>
<td>
12.580
</td>
<td>
0.006272
</td>
<td>
0.021980
</td>
<td>
0.039660
</td>
<td>
0.009894
</td>
<td>
0.013200
</td>
<td>
0.003813
</td>
<td>
13.160
</td>
<td>
24.17
</td>
<td>
85.13
</td>
<td>
515.3
</td>
<td>
0.14020
</td>
<td>
0.23150
</td>
<td>
0.353500
</td>
<td>
0.080880
</td>
<td>
0.2709
</td>
<td>
0.08839
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
507
</th>
<td>
91544002
</td>
<td>
B
</td>
<td>
11.060
</td>
<td>
17.12
</td>
<td>
71.25
</td>
<td>
366.5
</td>
<td>
0.11940
</td>
<td>
0.10710
</td>
<td>
0.040630
</td>
<td>
0.042680
</td>
<td>
0.1954
</td>
<td>
0.07976
</td>
<td>
0.1779
</td>
<td>
1.0300
</td>
<td>
1.3180
</td>
<td>
12.300
</td>
<td>
0.012620
</td>
<td>
0.023480
</td>
<td>
0.018000
</td>
<td>
0.012850
</td>
<td>
0.022200
</td>
<td>
0.008313
</td>
<td>
11.690
</td>
<td>
20.74
</td>
<td>
76.08
</td>
<td>
411.1
</td>
<td>
0.16620
</td>
<td>
0.20310
</td>
<td>
0.125600
</td>
<td>
0.095140
</td>
<td>
0.2780
</td>
<td>
0.11680
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
508
</th>
<td>
915452
</td>
<td>
B
</td>
<td>
16.300
</td>
<td>
15.70
</td>
<td>
104.70
</td>
<td>
819.8
</td>
<td>
0.09427
</td>
<td>
0.06712
</td>
<td>
0.055260
</td>
<td>
0.045630
</td>
<td>
0.1711
</td>
<td>
0.05657
</td>
<td>
0.2067
</td>
<td>
0.4706
</td>
<td>
1.1460
</td>
<td>
20.670
</td>
<td>
0.007394
</td>
<td>
0.012030
</td>
<td>
0.024700
</td>
<td>
0.014310
</td>
<td>
0.013440
</td>
<td>
0.002569
</td>
<td>
17.320
</td>
<td>
17.76
</td>
<td>
109.80
</td>
<td>
928.2
</td>
<td>
0.13540
</td>
<td>
0.13610
</td>
<td>
0.194700
</td>
<td>
0.135700
</td>
<td>
0.2300
</td>
<td>
0.07230
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
509
</th>
<td>
915460
</td>
<td>
M
</td>
<td>
15.460
</td>
<td>
23.95
</td>
<td>
103.80
</td>
<td>
731.3
</td>
<td>
0.11830
</td>
<td>
0.18700
</td>
<td>
0.203000
</td>
<td>
0.085200
</td>
<td>
0.1807
</td>
<td>
0.07083
</td>
<td>
0.3331
</td>
<td>
1.9610
</td>
<td>
2.9370
</td>
<td>
32.520
</td>
<td>
0.009538
</td>
<td>
0.049400
</td>
<td>
0.060190
</td>
<td>
0.020410
</td>
<td>
0.021050
</td>
<td>
0.006000
</td>
<td>
17.110
</td>
<td>
36.33
</td>
<td>
117.70
</td>
<td>
909.4
</td>
<td>
0.17320
</td>
<td>
0.49670
</td>
<td>
0.591100
</td>
<td>
0.216300
</td>
<td>
0.3013
</td>
<td>
0.10670
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
510
</th>
<td>
91550
</td>
<td>
B
</td>
<td>
11.740
</td>
<td>
14.69
</td>
<td>
76.31
</td>
<td>
426.0
</td>
<td>
0.08099
</td>
<td>
0.09661
</td>
<td>
0.067260
</td>
<td>
0.026390
</td>
<td>
0.1499
</td>
<td>
0.06758
</td>
<td>
0.1924
</td>
<td>
0.6417
</td>
<td>
1.3450
</td>
<td>
13.040
</td>
<td>
0.006982
</td>
<td>
0.039160
</td>
<td>
0.040170
</td>
<td>
0.015280
</td>
<td>
0.022600
</td>
<td>
0.006822
</td>
<td>
12.450
</td>
<td>
17.60
</td>
<td>
81.25
</td>
<td>
473.8
</td>
<td>
0.10730
</td>
<td>
0.27930
</td>
<td>
0.269000
</td>
<td>
0.105600
</td>
<td>
0.2604
</td>
<td>
0.09879
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
511
</th>
<td>
915664
</td>
<td>
B
</td>
<td>
14.810
</td>
<td>
14.70
</td>
<td>
94.66
</td>
<td>
680.7
</td>
<td>
0.08472
</td>
<td>
0.05016
</td>
<td>
0.034160
</td>
<td>
0.025410
</td>
<td>
0.1659
</td>
<td>
0.05348
</td>
<td>
0.2182
</td>
<td>
0.6232
</td>
<td>
1.6770
</td>
<td>
20.720
</td>
<td>
0.006708
</td>
<td>
0.011970
</td>
<td>
0.014820
</td>
<td>
0.010560
</td>
<td>
0.015800
</td>
<td>
0.001779
</td>
<td>
15.610
</td>
<td>
17.58
</td>
<td>
101.70
</td>
<td>
760.2
</td>
<td>
0.11390
</td>
<td>
0.10110
</td>
<td>
0.110100
</td>
<td>
0.079550
</td>
<td>
0.2334
</td>
<td>
0.06142
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
512
</th>
<td>
915691
</td>
<td>
M
</td>
<td>
13.400
</td>
<td>
20.52
</td>
<td>
88.64
</td>
<td>
556.7
</td>
<td>
0.11060
</td>
<td>
0.14690
</td>
<td>
0.144500
</td>
<td>
0.081720
</td>
<td>
0.2116
</td>
<td>
0.07325
</td>
<td>
0.3906
</td>
<td>
0.9306
</td>
<td>
3.0930
</td>
<td>
33.670
</td>
<td>
0.005414
</td>
<td>
0.022650
</td>
<td>
0.034520
</td>
<td>
0.013340
</td>
<td>
0.017050
</td>
<td>
0.004005
</td>
<td>
16.410
</td>
<td>
29.66
</td>
<td>
113.30
</td>
<td>
844.4
</td>
<td>
0.15740
</td>
<td>
0.38560
</td>
<td>
0.510600
</td>
<td>
0.205100
</td>
<td>
0.3585
</td>
<td>
0.11090
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
513
</th>
<td>
915940
</td>
<td>
B
</td>
<td>
14.580
</td>
<td>
13.66
</td>
<td>
94.29
</td>
<td>
658.8
</td>
<td>
0.09832
</td>
<td>
0.08918
</td>
<td>
0.082220
</td>
<td>
0.043490
</td>
<td>
0.1739
</td>
<td>
0.05640
</td>
<td>
0.4165
</td>
<td>
0.6237
</td>
<td>
2.5610
</td>
<td>
37.110
</td>
<td>
0.004953
</td>
<td>
0.018120
</td>
<td>
0.030350
</td>
<td>
0.008648
</td>
<td>
0.015390
</td>
<td>
0.002281
</td>
<td>
16.760
</td>
<td>
17.24
</td>
<td>
108.50
</td>
<td>
862.0
</td>
<td>
0.12230
</td>
<td>
0.19280
</td>
<td>
0.249200
</td>
<td>
0.091860
</td>
<td>
0.2626
</td>
<td>
0.07048
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
514
</th>
<td>
91594602
</td>
<td>
M
</td>
<td>
15.050
</td>
<td>
19.07
</td>
<td>
97.26
</td>
<td>
701.9
</td>
<td>
0.09215
</td>
<td>
0.08597
</td>
<td>
0.074860
</td>
<td>
0.043350
</td>
<td>
0.1561
</td>
<td>
0.05915
</td>
<td>
0.3860
</td>
<td>
1.1980
</td>
<td>
2.6300
</td>
<td>
38.490
</td>
<td>
0.004952
</td>
<td>
0.016300
</td>
<td>
0.029670
</td>
<td>
0.009423
</td>
<td>
0.011520
</td>
<td>
0.001718
</td>
<td>
17.580
</td>
<td>
28.06
</td>
<td>
113.80
</td>
<td>
967.0
</td>
<td>
0.12460
</td>
<td>
0.21010
</td>
<td>
0.286600
</td>
<td>
0.112000
</td>
<td>
0.2282
</td>
<td>
0.06954
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
515
</th>
<td>
916221
</td>
<td>
B
</td>
<td>
11.340
</td>
<td>
18.61
</td>
<td>
72.76
</td>
<td>
391.2
</td>
<td>
0.10490
</td>
<td>
0.08499
</td>
<td>
0.043020
</td>
<td>
0.025940
</td>
<td>
0.1927
</td>
<td>
0.06211
</td>
<td>
0.2430
</td>
<td>
1.0100
</td>
<td>
1.4910
</td>
<td>
18.190
</td>
<td>
0.008577
</td>
<td>
0.016410
</td>
<td>
0.020990
</td>
<td>
0.011070
</td>
<td>
0.024340
</td>
<td>
0.001217
</td>
<td>
12.470
</td>
<td>
23.03
</td>
<td>
79.15
</td>
<td>
478.6
</td>
<td>
0.14830
</td>
<td>
0.15740
</td>
<td>
0.162400
</td>
<td>
0.085420
</td>
<td>
0.3060
</td>
<td>
0.06783
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
516
</th>
<td>
916799
</td>
<td>
M
</td>
<td>
18.310
</td>
<td>
20.58
</td>
<td>
120.80
</td>
<td>
1052.0
</td>
<td>
0.10680
</td>
<td>
0.12480
</td>
<td>
0.156900
</td>
<td>
0.094510
</td>
<td>
0.1860
</td>
<td>
0.05941
</td>
<td>
0.5449
</td>
<td>
0.9225
</td>
<td>
3.2180
</td>
<td>
67.360
</td>
<td>
0.006176
</td>
<td>
0.018770
</td>
<td>
0.029130
</td>
<td>
0.010460
</td>
<td>
0.015590
</td>
<td>
0.002725
</td>
<td>
21.860
</td>
<td>
26.20
</td>
<td>
142.20
</td>
<td>
1493.0
</td>
<td>
0.14920
</td>
<td>
0.25360
</td>
<td>
0.375900
</td>
<td>
0.151000
</td>
<td>
0.3074
</td>
<td>
0.07863
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
517
</th>
<td>
916838
</td>
<td>
M
</td>
<td>
19.890
</td>
<td>
20.26
</td>
<td>
130.50
</td>
<td>
1214.0
</td>
<td>
0.10370
</td>
<td>
0.13100
</td>
<td>
0.141100
</td>
<td>
0.094310
</td>
<td>
0.1802
</td>
<td>
0.06188
</td>
<td>
0.5079
</td>
<td>
0.8737
</td>
<td>
3.6540
</td>
<td>
59.700
</td>
<td>
0.005089
</td>
<td>
0.023030
</td>
<td>
0.030520
</td>
<td>
0.011780
</td>
<td>
0.010570
</td>
<td>
0.003391
</td>
<td>
23.730
</td>
<td>
25.23
</td>
<td>
160.50
</td>
<td>
1646.0
</td>
<td>
0.14170
</td>
<td>
0.33090
</td>
<td>
0.418500
</td>
<td>
0.161300
</td>
<td>
0.2549
</td>
<td>
0.09136
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
518
</th>
<td>
917062
</td>
<td>
B
</td>
<td>
12.880
</td>
<td>
18.22
</td>
<td>
84.45
</td>
<td>
493.1
</td>
<td>
0.12180
</td>
<td>
0.16610
</td>
<td>
0.048250
</td>
<td>
0.053030
</td>
<td>
0.1709
</td>
<td>
0.07253
</td>
<td>
0.4426
</td>
<td>
1.1690
</td>
<td>
3.1760
</td>
<td>
34.370
</td>
<td>
0.005273
</td>
<td>
0.023290
</td>
<td>
0.014050
</td>
<td>
0.012440
</td>
<td>
0.018160
</td>
<td>
0.003299
</td>
<td>
15.050
</td>
<td>
24.37
</td>
<td>
99.31
</td>
<td>
674.7
</td>
<td>
0.14560
</td>
<td>
0.29610
</td>
<td>
0.124600
</td>
<td>
0.109600
</td>
<td>
0.2582
</td>
<td>
0.08893
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
519
</th>
<td>
917080
</td>
<td>
B
</td>
<td>
12.750
</td>
<td>
16.70
</td>
<td>
82.51
</td>
<td>
493.8
</td>
<td>
0.11250
</td>
<td>
0.11170
</td>
<td>
0.038800
</td>
<td>
0.029950
</td>
<td>
0.2120
</td>
<td>
0.06623
</td>
<td>
0.3834
</td>
<td>
1.0030
</td>
<td>
2.4950
</td>
<td>
28.620
</td>
<td>
0.007509
</td>
<td>
0.015610
</td>
<td>
0.019770
</td>
<td>
0.009199
</td>
<td>
0.018050
</td>
<td>
0.003629
</td>
<td>
14.450
</td>
<td>
21.74
</td>
<td>
93.63
</td>
<td>
624.1
</td>
<td>
0.14750
</td>
<td>
0.19790
</td>
<td>
0.142300
</td>
<td>
0.080450
</td>
<td>
0.3071
</td>
<td>
0.08557
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
520
</th>
<td>
917092
</td>
<td>
B
</td>
<td>
9.295
</td>
<td>
13.90
</td>
<td>
59.96
</td>
<td>
257.8
</td>
<td>
0.13710
</td>
<td>
0.12250
</td>
<td>
0.033320
</td>
<td>
0.024210
</td>
<td>
0.2197
</td>
<td>
0.07696
</td>
<td>
0.3538
</td>
<td>
1.1300
</td>
<td>
2.3880
</td>
<td>
19.630
</td>
<td>
0.015460
</td>
<td>
0.025400
</td>
<td>
0.021970
</td>
<td>
0.015800
</td>
<td>
0.039970
</td>
<td>
0.003901
</td>
<td>
10.570
</td>
<td>
17.84
</td>
<td>
67.84
</td>
<td>
326.6
</td>
<td>
0.18500
</td>
<td>
0.20970
</td>
<td>
0.099960
</td>
<td>
0.072620
</td>
<td>
0.3681
</td>
<td>
0.08982
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
521
</th>
<td>
91762702
</td>
<td>
M
</td>
<td>
24.630
</td>
<td>
21.60
</td>
<td>
165.50
</td>
<td>
1841.0
</td>
<td>
0.10300
</td>
<td>
0.21060
</td>
<td>
0.231000
</td>
<td>
0.147100
</td>
<td>
0.1991
</td>
<td>
0.06739
</td>
<td>
0.9915
</td>
<td>
0.9004
</td>
<td>
7.0500
</td>
<td>
139.900
</td>
<td>
0.004989
</td>
<td>
0.032120
</td>
<td>
0.035710
</td>
<td>
0.015970
</td>
<td>
0.018790
</td>
<td>
0.004760
</td>
<td>
29.920
</td>
<td>
26.93
</td>
<td>
205.70
</td>
<td>
2642.0
</td>
<td>
0.13420
</td>
<td>
0.41880
</td>
<td>
0.465800
</td>
<td>
0.247500
</td>
<td>
0.3157
</td>
<td>
0.09671
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
522
</th>
<td>
91789
</td>
<td>
B
</td>
<td>
11.260
</td>
<td>
19.83
</td>
<td>
71.30
</td>
<td>
388.1
</td>
<td>
0.08511
</td>
<td>
0.04413
</td>
<td>
0.005067
</td>
<td>
0.005664
</td>
<td>
0.1637
</td>
<td>
0.06343
</td>
<td>
0.1344
</td>
<td>
1.0830
</td>
<td>
0.9812
</td>
<td>
9.332
</td>
<td>
0.004200
</td>
<td>
0.005900
</td>
<td>
0.003846
</td>
<td>
0.004065
</td>
<td>
0.014870
</td>
<td>
0.002295
</td>
<td>
11.930
</td>
<td>
26.43
</td>
<td>
76.38
</td>
<td>
435.9
</td>
<td>
0.11080
</td>
<td>
0.07723
</td>
<td>
0.025330
</td>
<td>
0.028320
</td>
<td>
0.2557
</td>
<td>
0.07613
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
523
</th>
<td>
917896
</td>
<td>
B
</td>
<td>
13.710
</td>
<td>
18.68
</td>
<td>
88.73
</td>
<td>
571.0
</td>
<td>
0.09916
</td>
<td>
0.10700
</td>
<td>
0.053850
</td>
<td>
0.037830
</td>
<td>
0.1714
</td>
<td>
0.06843
</td>
<td>
0.3191
</td>
<td>
1.2490
</td>
<td>
2.2840
</td>
<td>
26.450
</td>
<td>
0.006739
</td>
<td>
0.022510
</td>
<td>
0.020860
</td>
<td>
0.013520
</td>
<td>
0.018700
</td>
<td>
0.003747
</td>
<td>
15.110
</td>
<td>
25.63
</td>
<td>
99.43
</td>
<td>
701.9
</td>
<td>
0.14250
</td>
<td>
0.25660
</td>
<td>
0.193500
</td>
<td>
0.128400
</td>
<td>
0.2849
</td>
<td>
0.09031
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
524
</th>
<td>
917897
</td>
<td>
B
</td>
<td>
9.847
</td>
<td>
15.68
</td>
<td>
63.00
</td>
<td>
293.2
</td>
<td>
0.09492
</td>
<td>
0.08419
</td>
<td>
0.023300
</td>
<td>
0.024160
</td>
<td>
0.1387
</td>
<td>
0.06891
</td>
<td>
0.2498
</td>
<td>
1.2160
</td>
<td>
1.9760
</td>
<td>
15.240
</td>
<td>
0.008732
</td>
<td>
0.020420
</td>
<td>
0.010620
</td>
<td>
0.006801
</td>
<td>
0.018240
</td>
<td>
0.003494
</td>
<td>
11.240
</td>
<td>
22.99
</td>
<td>
74.32
</td>
<td>
376.5
</td>
<td>
0.14190
</td>
<td>
0.22430
</td>
<td>
0.084340
</td>
<td>
0.065280
</td>
<td>
0.2502
</td>
<td>
0.09209
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
525
</th>
<td>
91805
</td>
<td>
B
</td>
<td>
8.571
</td>
<td>
13.10
</td>
<td>
54.53
</td>
<td>
221.3
</td>
<td>
0.10360
</td>
<td>
0.07632
</td>
<td>
0.025650
</td>
<td>
0.015100
</td>
<td>
0.1678
</td>
<td>
0.07126
</td>
<td>
0.1267
</td>
<td>
0.6793
</td>
<td>
1.0690
</td>
<td>
7.254
</td>
<td>
0.007897
</td>
<td>
0.017620
</td>
<td>
0.018010
</td>
<td>
0.007320
</td>
<td>
0.015920
</td>
<td>
0.003925
</td>
<td>
9.473
</td>
<td>
18.45
</td>
<td>
63.30
</td>
<td>
275.6
</td>
<td>
0.16410
</td>
<td>
0.22350
</td>
<td>
0.175400
</td>
<td>
0.085120
</td>
<td>
0.2983
</td>
<td>
0.10490
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
526
</th>
<td>
91813701
</td>
<td>
B
</td>
<td>
13.460
</td>
<td>
18.75
</td>
<td>
87.44
</td>
<td>
551.1
</td>
<td>
0.10750
</td>
<td>
0.11380
</td>
<td>
0.042010
</td>
<td>
0.031520
</td>
<td>
0.1723
</td>
<td>
0.06317
</td>
<td>
0.1998
</td>
<td>
0.6068
</td>
<td>
1.4430
</td>
<td>
16.070
</td>
<td>
0.004413
</td>
<td>
0.014430
</td>
<td>
0.015090
</td>
<td>
0.007369
</td>
<td>
0.013540
</td>
<td>
0.001787
</td>
<td>
15.350
</td>
<td>
25.16
</td>
<td>
101.90
</td>
<td>
719.8
</td>
<td>
0.16240
</td>
<td>
0.31240
</td>
<td>
0.265400
</td>
<td>
0.142700
</td>
<td>
0.3518
</td>
<td>
0.08665
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
527
</th>
<td>
91813702
</td>
<td>
B
</td>
<td>
12.340
</td>
<td>
12.27
</td>
<td>
78.94
</td>
<td>
468.5
</td>
<td>
0.09003
</td>
<td>
0.06307
</td>
<td>
0.029580
</td>
<td>
0.026470
</td>
<td>
0.1689
</td>
<td>
0.05808
</td>
<td>
0.1166
</td>
<td>
0.4957
</td>
<td>
0.7714
</td>
<td>
8.955
</td>
<td>
0.003681
</td>
<td>
0.009169
</td>
<td>
0.008732
</td>
<td>
0.005740
</td>
<td>
0.011290
</td>
<td>
0.001366
</td>
<td>
13.610
</td>
<td>
19.27
</td>
<td>
87.22
</td>
<td>
564.9
</td>
<td>
0.12920
</td>
<td>
0.20740
</td>
<td>
0.179100
</td>
<td>
0.107000
</td>
<td>
0.3110
</td>
<td>
0.07592
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
528
</th>
<td>
918192
</td>
<td>
B
</td>
<td>
13.940
</td>
<td>
13.17
</td>
<td>
90.31
</td>
<td>
594.2
</td>
<td>
0.12480
</td>
<td>
0.09755
</td>
<td>
0.101000
</td>
<td>
0.066150
</td>
<td>
0.1976
</td>
<td>
0.06457
</td>
<td>
0.5461
</td>
<td>
2.6350
</td>
<td>
4.0910
</td>
<td>
44.740
</td>
<td>
0.010040
</td>
<td>
0.032470
</td>
<td>
0.047630
</td>
<td>
0.028530
</td>
<td>
0.017150
</td>
<td>
0.005528
</td>
<td>
14.620
</td>
<td>
15.38
</td>
<td>
94.52
</td>
<td>
653.3
</td>
<td>
0.13940
</td>
<td>
0.13640
</td>
<td>
0.155900
</td>
<td>
0.101500
</td>
<td>
0.2160
</td>
<td>
0.07253
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
529
</th>
<td>
918465
</td>
<td>
B
</td>
<td>
12.070
</td>
<td>
13.44
</td>
<td>
77.83
</td>
<td>
445.2
</td>
<td>
0.11000
</td>
<td>
0.09009
</td>
<td>
0.037810
</td>
<td>
0.027980
</td>
<td>
0.1657
</td>
<td>
0.06608
</td>
<td>
0.2513
</td>
<td>
0.5040
</td>
<td>
1.7140
</td>
<td>
18.540
</td>
<td>
0.007327
</td>
<td>
0.011530
</td>
<td>
0.017980
</td>
<td>
0.007986
</td>
<td>
0.019620
</td>
<td>
0.002234
</td>
<td>
13.450
</td>
<td>
15.77
</td>
<td>
86.92
</td>
<td>
549.9
</td>
<td>
0.15210
</td>
<td>
0.16320
</td>
<td>
0.162200
</td>
<td>
0.073930
</td>
<td>
0.2781
</td>
<td>
0.08052
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
530
</th>
<td>
91858
</td>
<td>
B
</td>
<td>
11.750
</td>
<td>
17.56
</td>
<td>
75.89
</td>
<td>
422.9
</td>
<td>
0.10730
</td>
<td>
0.09713
</td>
<td>
0.052820
</td>
<td>
0.044400
</td>
<td>
0.1598
</td>
<td>
0.06677
</td>
<td>
0.4384
</td>
<td>
1.9070
</td>
<td>
3.1490
</td>
<td>
30.660
</td>
<td>
0.006587
</td>
<td>
0.018150
</td>
<td>
0.017370
</td>
<td>
0.013160
</td>
<td>
0.018350
</td>
<td>
0.002318
</td>
<td>
13.500
</td>
<td>
27.98
</td>
<td>
88.52
</td>
<td>
552.3
</td>
<td>
0.13490
</td>
<td>
0.18540
</td>
<td>
0.136600
</td>
<td>
0.101000
</td>
<td>
0.2478
</td>
<td>
0.07757
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
531
</th>
<td>
91903901
</td>
<td>
B
</td>
<td>
11.670
</td>
<td>
20.02
</td>
<td>
75.21
</td>
<td>
416.2
</td>
<td>
0.10160
</td>
<td>
0.09453
</td>
<td>
0.042000
</td>
<td>
0.021570
</td>
<td>
0.1859
</td>
<td>
0.06461
</td>
<td>
0.2067
</td>
<td>
0.8745
</td>
<td>
1.3930
</td>
<td>
15.340
</td>
<td>
0.005251
</td>
<td>
0.017270
</td>
<td>
0.018400
</td>
<td>
0.005298
</td>
<td>
0.014490
</td>
<td>
0.002671
</td>
<td>
13.350
</td>
<td>
28.81
</td>
<td>
87.00
</td>
<td>
550.6
</td>
<td>
0.15500
</td>
<td>
0.29640
</td>
<td>
0.275800
</td>
<td>
0.081200
</td>
<td>
0.3206
</td>
<td>
0.08950
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
532
</th>
<td>
91903902
</td>
<td>
B
</td>
<td>
13.680
</td>
<td>
16.33
</td>
<td>
87.76
</td>
<td>
575.5
</td>
<td>
0.09277
</td>
<td>
0.07255
</td>
<td>
0.017520
</td>
<td>
0.018800
</td>
<td>
0.1631
</td>
<td>
0.06155
</td>
<td>
0.2047
</td>
<td>
0.4801
</td>
<td>
1.3730
</td>
<td>
17.250
</td>
<td>
0.003828
</td>
<td>
0.007228
</td>
<td>
0.007078
</td>
<td>
0.005077
</td>
<td>
0.010540
</td>
<td>
0.001697
</td>
<td>
15.850
</td>
<td>
20.20
</td>
<td>
101.60
</td>
<td>
773.4
</td>
<td>
0.12640
</td>
<td>
0.15640
</td>
<td>
0.120600
</td>
<td>
0.087040
</td>
<td>
0.2806
</td>
<td>
0.07782
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
533
</th>
<td>
91930402
</td>
<td>
M
</td>
<td>
20.470
</td>
<td>
20.67
</td>
<td>
134.70
</td>
<td>
1299.0
</td>
<td>
0.09156
</td>
<td>
0.13130
</td>
<td>
0.152300
</td>
<td>
0.101500
</td>
<td>
0.2166
</td>
<td>
0.05419
</td>
<td>
0.8336
</td>
<td>
1.7360
</td>
<td>
5.1680
</td>
<td>
100.400
</td>
<td>
0.004938
</td>
<td>
0.030890
</td>
<td>
0.040930
</td>
<td>
0.016990
</td>
<td>
0.028160
</td>
<td>
0.002719
</td>
<td>
23.230
</td>
<td>
27.15
</td>
<td>
152.00
</td>
<td>
1645.0
</td>
<td>
0.10970
</td>
<td>
0.25340
</td>
<td>
0.309200
</td>
<td>
0.161300
</td>
<td>
0.3220
</td>
<td>
0.06386
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
534
</th>
<td>
919537
</td>
<td>
B
</td>
<td>
10.960
</td>
<td>
17.62
</td>
<td>
70.79
</td>
<td>
365.6
</td>
<td>
0.09687
</td>
<td>
0.09752
</td>
<td>
0.052630
</td>
<td>
0.027880
</td>
<td>
0.1619
</td>
<td>
0.06408
</td>
<td>
0.1507
</td>
<td>
1.5830
</td>
<td>
1.1650
</td>
<td>
10.090
</td>
<td>
0.009501
</td>
<td>
0.033780
</td>
<td>
0.044010
</td>
<td>
0.013460
</td>
<td>
0.013220
</td>
<td>
0.003534
</td>
<td>
11.620
</td>
<td>
26.51
</td>
<td>
76.43
</td>
<td>
407.5
</td>
<td>
0.14280
</td>
<td>
0.25100
</td>
<td>
0.212300
</td>
<td>
0.098610
</td>
<td>
0.2289
</td>
<td>
0.08278
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
535
</th>
<td>
919555
</td>
<td>
M
</td>
<td>
20.550
</td>
<td>
20.86
</td>
<td>
137.80
</td>
<td>
1308.0
</td>
<td>
0.10460
</td>
<td>
0.17390
</td>
<td>
0.208500
</td>
<td>
0.132200
</td>
<td>
0.2127
</td>
<td>
0.06251
</td>
<td>
0.6986
</td>
<td>
0.9901
</td>
<td>
4.7060
</td>
<td>
87.780
</td>
<td>
0.004578
</td>
<td>
0.026160
</td>
<td>
0.040050
</td>
<td>
0.014210
</td>
<td>
0.019480
</td>
<td>
0.002689
</td>
<td>
24.300
</td>
<td>
25.48
</td>
<td>
160.20
</td>
<td>
1809.0
</td>
<td>
0.12680
</td>
<td>
0.31350
</td>
<td>
0.443300
</td>
<td>
0.214800
</td>
<td>
0.3077
</td>
<td>
0.07569
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
536
</th>
<td>
91979701
</td>
<td>
M
</td>
<td>
14.270
</td>
<td>
22.55
</td>
<td>
93.77
</td>
<td>
629.8
</td>
<td>
0.10380
</td>
<td>
0.11540
</td>
<td>
0.146300
</td>
<td>
0.061390
</td>
<td>
0.1926
</td>
<td>
0.05982
</td>
<td>
0.2027
</td>
<td>
1.8510
</td>
<td>
1.8950
</td>
<td>
18.540
</td>
<td>
0.006113
</td>
<td>
0.025830
</td>
<td>
0.046450
</td>
<td>
0.012760
</td>
<td>
0.014510
</td>
<td>
0.003756
</td>
<td>
15.290
</td>
<td>
34.27
</td>
<td>
104.30
</td>
<td>
728.3
</td>
<td>
0.13800
</td>
<td>
0.27330
</td>
<td>
0.423400
</td>
<td>
0.136200
</td>
<td>
0.2698
</td>
<td>
0.08351
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
537
</th>
<td>
919812
</td>
<td>
B
</td>
<td>
11.690
</td>
<td>
24.44
</td>
<td>
76.37
</td>
<td>
406.4
</td>
<td>
0.12360
</td>
<td>
0.15520
</td>
<td>
0.045150
</td>
<td>
0.045310
</td>
<td>
0.2131
</td>
<td>
0.07405
</td>
<td>
0.2957
</td>
<td>
1.9780
</td>
<td>
2.1580
</td>
<td>
20.950
</td>
<td>
0.012880
</td>
<td>
0.034950
</td>
<td>
0.018650
</td>
<td>
0.017660
</td>
<td>
0.015600
</td>
<td>
0.005824
</td>
<td>
12.980
</td>
<td>
32.19
</td>
<td>
86.12
</td>
<td>
487.7
</td>
<td>
0.17680
</td>
<td>
0.32510
</td>
<td>
0.139500
</td>
<td>
0.130800
</td>
<td>
0.2803
</td>
<td>
0.09970
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
538
</th>
<td>
921092
</td>
<td>
B
</td>
<td>
7.729
</td>
<td>
25.49
</td>
<td>
47.98
</td>
<td>
178.8
</td>
<td>
0.08098
</td>
<td>
0.04878
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1870
</td>
<td>
0.07285
</td>
<td>
0.3777
</td>
<td>
1.4620
</td>
<td>
2.4920
</td>
<td>
19.140
</td>
<td>
0.012660
</td>
<td>
0.009692
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.028820
</td>
<td>
0.006872
</td>
<td>
9.077
</td>
<td>
30.92
</td>
<td>
57.17
</td>
<td>
248.0
</td>
<td>
0.12560
</td>
<td>
0.08340
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.3058
</td>
<td>
0.09938
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
539
</th>
<td>
921362
</td>
<td>
B
</td>
<td>
7.691
</td>
<td>
25.44
</td>
<td>
48.34
</td>
<td>
170.4
</td>
<td>
0.08668
</td>
<td>
0.11990
</td>
<td>
0.092520
</td>
<td>
0.013640
</td>
<td>
0.2037
</td>
<td>
0.07751
</td>
<td>
0.2196
</td>
<td>
1.4790
</td>
<td>
1.4450
</td>
<td>
11.730
</td>
<td>
0.015470
</td>
<td>
0.064570
</td>
<td>
0.092520
</td>
<td>
0.013640
</td>
<td>
0.021050
</td>
<td>
0.007551
</td>
<td>
8.678
</td>
<td>
31.89
</td>
<td>
54.49
</td>
<td>
223.6
</td>
<td>
0.15960
</td>
<td>
0.30640
</td>
<td>
0.339300
</td>
<td>
0.050000
</td>
<td>
0.2790
</td>
<td>
0.10660
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
540
</th>
<td>
921385
</td>
<td>
B
</td>
<td>
11.540
</td>
<td>
14.44
</td>
<td>
74.65
</td>
<td>
402.9
</td>
<td>
0.09984
</td>
<td>
0.11200
</td>
<td>
0.067370
</td>
<td>
0.025940
</td>
<td>
0.1818
</td>
<td>
0.06782
</td>
<td>
0.2784
</td>
<td>
1.7680
</td>
<td>
1.6280
</td>
<td>
20.860
</td>
<td>
0.012150
</td>
<td>
0.041120
</td>
<td>
0.055530
</td>
<td>
0.014940
</td>
<td>
0.018400
</td>
<td>
0.005512
</td>
<td>
12.260
</td>
<td>
19.68
</td>
<td>
78.78
</td>
<td>
457.8
</td>
<td>
0.13450
</td>
<td>
0.21180
</td>
<td>
0.179700
</td>
<td>
0.069180
</td>
<td>
0.2329
</td>
<td>
0.08134
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
541
</th>
<td>
921386
</td>
<td>
B
</td>
<td>
14.470
</td>
<td>
24.99
</td>
<td>
95.81
</td>
<td>
656.4
</td>
<td>
0.08837
</td>
<td>
0.12300
</td>
<td>
0.100900
</td>
<td>
0.038900
</td>
<td>
0.1872
</td>
<td>
0.06341
</td>
<td>
0.2542
</td>
<td>
1.0790
</td>
<td>
2.6150
</td>
<td>
23.110
</td>
<td>
0.007138
</td>
<td>
0.046530
</td>
<td>
0.038290
</td>
<td>
0.011620
</td>
<td>
0.020680
</td>
<td>
0.006111
</td>
<td>
16.220
</td>
<td>
31.73
</td>
<td>
113.50
</td>
<td>
808.9
</td>
<td>
0.13400
</td>
<td>
0.42020
</td>
<td>
0.404000
</td>
<td>
0.120500
</td>
<td>
0.3187
</td>
<td>
0.10230
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
542
</th>
<td>
921644
</td>
<td>
B
</td>
<td>
14.740
</td>
<td>
25.42
</td>
<td>
94.70
</td>
<td>
668.6
</td>
<td>
0.08275
</td>
<td>
0.07214
</td>
<td>
0.041050
</td>
<td>
0.030270
</td>
<td>
0.1840
</td>
<td>
0.05680
</td>
<td>
0.3031
</td>
<td>
1.3850
</td>
<td>
2.1770
</td>
<td>
27.410
</td>
<td>
0.004775
</td>
<td>
0.011720
</td>
<td>
0.019470
</td>
<td>
0.012690
</td>
<td>
0.018700
</td>
<td>
0.002626
</td>
<td>
16.510
</td>
<td>
32.29
</td>
<td>
107.40
</td>
<td>
826.4
</td>
<td>
0.10600
</td>
<td>
0.13760
</td>
<td>
0.161100
</td>
<td>
0.109500
</td>
<td>
0.2722
</td>
<td>
0.06956
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
543
</th>
<td>
922296
</td>
<td>
B
</td>
<td>
13.210
</td>
<td>
28.06
</td>
<td>
84.88
</td>
<td>
538.4
</td>
<td>
0.08671
</td>
<td>
0.06877
</td>
<td>
0.029870
</td>
<td>
0.032750
</td>
<td>
0.1628
</td>
<td>
0.05781
</td>
<td>
0.2351
</td>
<td>
1.5970
</td>
<td>
1.5390
</td>
<td>
17.850
</td>
<td>
0.004973
</td>
<td>
0.013720
</td>
<td>
0.014980
</td>
<td>
0.009117
</td>
<td>
0.017240
</td>
<td>
0.001343
</td>
<td>
14.370
</td>
<td>
37.17
</td>
<td>
92.48
</td>
<td>
629.6
</td>
<td>
0.10720
</td>
<td>
0.13810
</td>
<td>
0.106200
</td>
<td>
0.079580
</td>
<td>
0.2473
</td>
<td>
0.06443
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
544
</th>
<td>
922297
</td>
<td>
B
</td>
<td>
13.870
</td>
<td>
20.70
</td>
<td>
89.77
</td>
<td>
584.8
</td>
<td>
0.09578
</td>
<td>
0.10180
</td>
<td>
0.036880
</td>
<td>
0.023690
</td>
<td>
0.1620
</td>
<td>
0.06688
</td>
<td>
0.2720
</td>
<td>
1.0470
</td>
<td>
2.0760
</td>
<td>
23.120
</td>
<td>
0.006298
</td>
<td>
0.021720
</td>
<td>
0.026150
</td>
<td>
0.009061
</td>
<td>
0.014900
</td>
<td>
0.003599
</td>
<td>
15.050
</td>
<td>
24.75
</td>
<td>
99.17
</td>
<td>
688.6
</td>
<td>
0.12640
</td>
<td>
0.20370
</td>
<td>
0.137700
</td>
<td>
0.068450
</td>
<td>
0.2249
</td>
<td>
0.08492
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
545
</th>
<td>
922576
</td>
<td>
B
</td>
<td>
13.620
</td>
<td>
23.23
</td>
<td>
87.19
</td>
<td>
573.2
</td>
<td>
0.09246
</td>
<td>
0.06747
</td>
<td>
0.029740
</td>
<td>
0.024430
</td>
<td>
0.1664
</td>
<td>
0.05801
</td>
<td>
0.3460
</td>
<td>
1.3360
</td>
<td>
2.0660
</td>
<td>
31.240
</td>
<td>
0.005868
</td>
<td>
0.020990
</td>
<td>
0.020210
</td>
<td>
0.009064
</td>
<td>
0.020870
</td>
<td>
0.002583
</td>
<td>
15.350
</td>
<td>
29.09
</td>
<td>
97.58
</td>
<td>
729.8
</td>
<td>
0.12160
</td>
<td>
0.15170
</td>
<td>
0.104900
</td>
<td>
0.071740
</td>
<td>
0.2642
</td>
<td>
0.06953
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
546
</th>
<td>
922577
</td>
<td>
B
</td>
<td>
10.320
</td>
<td>
16.35
</td>
<td>
65.31
</td>
<td>
324.9
</td>
<td>
0.09434
</td>
<td>
0.04994
</td>
<td>
0.010120
</td>
<td>
0.005495
</td>
<td>
0.1885
</td>
<td>
0.06201
</td>
<td>
0.2104
</td>
<td>
0.9670
</td>
<td>
1.3560
</td>
<td>
12.970
</td>
<td>
0.007086
</td>
<td>
0.007247
</td>
<td>
0.010120
</td>
<td>
0.005495
</td>
<td>
0.015600
</td>
<td>
0.002606
</td>
<td>
11.250
</td>
<td>
21.77
</td>
<td>
71.12
</td>
<td>
384.9
</td>
<td>
0.12850
</td>
<td>
0.08842
</td>
<td>
0.043840
</td>
<td>
0.023810
</td>
<td>
0.2681
</td>
<td>
0.07399
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
547
</th>
<td>
922840
</td>
<td>
B
</td>
<td>
10.260
</td>
<td>
16.58
</td>
<td>
65.85
</td>
<td>
320.8
</td>
<td>
0.08877
</td>
<td>
0.08066
</td>
<td>
0.043580
</td>
<td>
0.024380
</td>
<td>
0.1669
</td>
<td>
0.06714
</td>
<td>
0.1144
</td>
<td>
1.0230
</td>
<td>
0.9887
</td>
<td>
7.326
</td>
<td>
0.010270
</td>
<td>
0.030840
</td>
<td>
0.026130
</td>
<td>
0.010970
</td>
<td>
0.022770
</td>
<td>
0.005890
</td>
<td>
10.830
</td>
<td>
22.04
</td>
<td>
71.08
</td>
<td>
357.4
</td>
<td>
0.14610
</td>
<td>
0.22460
</td>
<td>
0.178300
</td>
<td>
0.083330
</td>
<td>
0.2691
</td>
<td>
0.09479
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
548
</th>
<td>
923169
</td>
<td>
B
</td>
<td>
9.683
</td>
<td>
19.34
</td>
<td>
61.05
</td>
<td>
285.7
</td>
<td>
0.08491
</td>
<td>
0.05030
</td>
<td>
0.023370
</td>
<td>
0.009615
</td>
<td>
0.1580
</td>
<td>
0.06235
</td>
<td>
0.2957
</td>
<td>
1.3630
</td>
<td>
2.0540
</td>
<td>
18.240
</td>
<td>
0.007440
</td>
<td>
0.011230
</td>
<td>
0.023370
</td>
<td>
0.009615
</td>
<td>
0.022030
</td>
<td>
0.004154
</td>
<td>
10.930
</td>
<td>
25.59
</td>
<td>
69.10
</td>
<td>
364.2
</td>
<td>
0.11990
</td>
<td>
0.09546
</td>
<td>
0.093500
</td>
<td>
0.038460
</td>
<td>
0.2552
</td>
<td>
0.07920
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
549
</th>
<td>
923465
</td>
<td>
B
</td>
<td>
10.820
</td>
<td>
24.21
</td>
<td>
68.89
</td>
<td>
361.6
</td>
<td>
0.08192
</td>
<td>
0.06602
</td>
<td>
0.015480
</td>
<td>
0.008160
</td>
<td>
0.1976
</td>
<td>
0.06328
</td>
<td>
0.5196
</td>
<td>
1.9180
</td>
<td>
3.5640
</td>
<td>
33.000
</td>
<td>
0.008263
</td>
<td>
0.018700
</td>
<td>
0.012770
</td>
<td>
0.005917
</td>
<td>
0.024660
</td>
<td>
0.002977
</td>
<td>
13.030
</td>
<td>
31.45
</td>
<td>
83.90
</td>
<td>
505.6
</td>
<td>
0.12040
</td>
<td>
0.16330
</td>
<td>
0.061940
</td>
<td>
0.032640
</td>
<td>
0.3059
</td>
<td>
0.07626
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
550
</th>
<td>
923748
</td>
<td>
B
</td>
<td>
10.860
</td>
<td>
21.48
</td>
<td>
68.51
</td>
<td>
360.5
</td>
<td>
0.07431
</td>
<td>
0.04227
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1661
</td>
<td>
0.05948
</td>
<td>
0.3163
</td>
<td>
1.3040
</td>
<td>
2.1150
</td>
<td>
20.670
</td>
<td>
0.009579
</td>
<td>
0.011040
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.030040
</td>
<td>
0.002228
</td>
<td>
11.660
</td>
<td>
24.77
</td>
<td>
74.08
</td>
<td>
412.3
</td>
<td>
0.10010
</td>
<td>
0.07348
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2458
</td>
<td>
0.06592
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
551
</th>
<td>
923780
</td>
<td>
B
</td>
<td>
11.130
</td>
<td>
22.44
</td>
<td>
71.49
</td>
<td>
378.4
</td>
<td>
0.09566
</td>
<td>
0.08194
</td>
<td>
0.048240
</td>
<td>
0.022570
</td>
<td>
0.2030
</td>
<td>
0.06552
</td>
<td>
0.2800
</td>
<td>
1.4670
</td>
<td>
1.9940
</td>
<td>
17.850
</td>
<td>
0.003495
</td>
<td>
0.030510
</td>
<td>
0.034450
</td>
<td>
0.010240
</td>
<td>
0.029120
</td>
<td>
0.004723
</td>
<td>
12.020
</td>
<td>
28.26
</td>
<td>
77.80
</td>
<td>
436.6
</td>
<td>
0.10870
</td>
<td>
0.17820
</td>
<td>
0.156400
</td>
<td>
0.064130
</td>
<td>
0.3169
</td>
<td>
0.08032
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
552
</th>
<td>
924084
</td>
<td>
B
</td>
<td>
12.770
</td>
<td>
29.43
</td>
<td>
81.35
</td>
<td>
507.9
</td>
<td>
0.08276
</td>
<td>
0.04234
</td>
<td>
0.019970
</td>
<td>
0.014990
</td>
<td>
0.1539
</td>
<td>
0.05637
</td>
<td>
0.2409
</td>
<td>
1.3670
</td>
<td>
1.4770
</td>
<td>
18.760
</td>
<td>
0.008835
</td>
<td>
0.012330
</td>
<td>
0.013280
</td>
<td>
0.009305
</td>
<td>
0.018970
</td>
<td>
0.001726
</td>
<td>
13.870
</td>
<td>
36.00
</td>
<td>
88.10
</td>
<td>
594.7
</td>
<td>
0.12340
</td>
<td>
0.10640
</td>
<td>
0.086530
</td>
<td>
0.064980
</td>
<td>
0.2407
</td>
<td>
0.06484
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
553
</th>
<td>
924342
</td>
<td>
B
</td>
<td>
9.333
</td>
<td>
21.94
</td>
<td>
59.01
</td>
<td>
264.0
</td>
<td>
0.09240
</td>
<td>
0.05605
</td>
<td>
0.039960
</td>
<td>
0.012820
</td>
<td>
0.1692
</td>
<td>
0.06576
</td>
<td>
0.3013
</td>
<td>
1.8790
</td>
<td>
2.1210
</td>
<td>
17.860
</td>
<td>
0.010940
</td>
<td>
0.018340
</td>
<td>
0.039960
</td>
<td>
0.012820
</td>
<td>
0.037590
</td>
<td>
0.004623
</td>
<td>
9.845
</td>
<td>
25.05
</td>
<td>
62.86
</td>
<td>
295.8
</td>
<td>
0.11030
</td>
<td>
0.08298
</td>
<td>
0.079930
</td>
<td>
0.025640
</td>
<td>
0.2435
</td>
<td>
0.07393
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
554
</th>
<td>
924632
</td>
<td>
B
</td>
<td>
12.880
</td>
<td>
28.92
</td>
<td>
82.50
</td>
<td>
514.3
</td>
<td>
0.08123
</td>
<td>
0.05824
</td>
<td>
0.061950
</td>
<td>
0.023430
</td>
<td>
0.1566
</td>
<td>
0.05708
</td>
<td>
0.2116
</td>
<td>
1.3600
</td>
<td>
1.5020
</td>
<td>
16.830
</td>
<td>
0.008412
</td>
<td>
0.021530
</td>
<td>
0.038980
</td>
<td>
0.007620
</td>
<td>
0.016950
</td>
<td>
0.002801
</td>
<td>
13.890
</td>
<td>
35.74
</td>
<td>
88.84
</td>
<td>
595.7
</td>
<td>
0.12270
</td>
<td>
0.16200
</td>
<td>
0.243900
</td>
<td>
0.064930
</td>
<td>
0.2372
</td>
<td>
0.07242
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
555
</th>
<td>
924934
</td>
<td>
B
</td>
<td>
10.290
</td>
<td>
27.61
</td>
<td>
65.67
</td>
<td>
321.4
</td>
<td>
0.09030
</td>
<td>
0.07658
</td>
<td>
0.059990
</td>
<td>
0.027380
</td>
<td>
0.1593
</td>
<td>
0.06127
</td>
<td>
0.2199
</td>
<td>
2.2390
</td>
<td>
1.4370
</td>
<td>
14.460
</td>
<td>
0.012050
</td>
<td>
0.027360
</td>
<td>
0.048040
</td>
<td>
0.017210
</td>
<td>
0.018430
</td>
<td>
0.004938
</td>
<td>
10.840
</td>
<td>
34.91
</td>
<td>
69.57
</td>
<td>
357.6
</td>
<td>
0.13840
</td>
<td>
0.17100
</td>
<td>
0.200000
</td>
<td>
0.091270
</td>
<td>
0.2226
</td>
<td>
0.08283
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
556
</th>
<td>
924964
</td>
<td>
B
</td>
<td>
10.160
</td>
<td>
19.59
</td>
<td>
64.73
</td>
<td>
311.7
</td>
<td>
0.10030
</td>
<td>
0.07504
</td>
<td>
0.005025
</td>
<td>
0.011160
</td>
<td>
0.1791
</td>
<td>
0.06331
</td>
<td>
0.2441
</td>
<td>
2.0900
</td>
<td>
1.6480
</td>
<td>
16.800
</td>
<td>
0.012910
</td>
<td>
0.022220
</td>
<td>
0.004174
</td>
<td>
0.007082
</td>
<td>
0.025720
</td>
<td>
0.002278
</td>
<td>
10.650
</td>
<td>
22.88
</td>
<td>
67.88
</td>
<td>
347.3
</td>
<td>
0.12650
</td>
<td>
0.12000
</td>
<td>
0.010050
</td>
<td>
0.022320
</td>
<td>
0.2262
</td>
<td>
0.06742
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
557
</th>
<td>
925236
</td>
<td>
B
</td>
<td>
9.423
</td>
<td>
27.88
</td>
<td>
59.26
</td>
<td>
271.3
</td>
<td>
0.08123
</td>
<td>
0.04971
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1742
</td>
<td>
0.06059
</td>
<td>
0.5375
</td>
<td>
2.9270
</td>
<td>
3.6180
</td>
<td>
29.110
</td>
<td>
0.011590
</td>
<td>
0.011240
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.030040
</td>
<td>
0.003324
</td>
<td>
10.490
</td>
<td>
34.24
</td>
<td>
66.50
</td>
<td>
330.6
</td>
<td>
0.10730
</td>
<td>
0.07158
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2475
</td>
<td>
0.06969
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
558
</th>
<td>
925277
</td>
<td>
B
</td>
<td>
14.590
</td>
<td>
22.68
</td>
<td>
96.39
</td>
<td>
657.1
</td>
<td>
0.08473
</td>
<td>
0.13300
</td>
<td>
0.102900
</td>
<td>
0.037360
</td>
<td>
0.1454
</td>
<td>
0.06147
</td>
<td>
0.2254
</td>
<td>
1.1080
</td>
<td>
2.2240
</td>
<td>
19.540
</td>
<td>
0.004242
</td>
<td>
0.046390
</td>
<td>
0.065780
</td>
<td>
0.016060
</td>
<td>
0.016380
</td>
<td>
0.004406
</td>
<td>
15.480
</td>
<td>
27.27
</td>
<td>
105.90
</td>
<td>
733.5
</td>
<td>
0.10260
</td>
<td>
0.31710
</td>
<td>
0.366200
</td>
<td>
0.110500
</td>
<td>
0.2258
</td>
<td>
0.08004
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
559
</th>
<td>
925291
</td>
<td>
B
</td>
<td>
11.510
</td>
<td>
23.93
</td>
<td>
74.52
</td>
<td>
403.5
</td>
<td>
0.09261
</td>
<td>
0.10210
</td>
<td>
0.111200
</td>
<td>
0.041050
</td>
<td>
0.1388
</td>
<td>
0.06570
</td>
<td>
0.2388
</td>
<td>
2.9040
</td>
<td>
1.9360
</td>
<td>
16.970
</td>
<td>
0.008200
</td>
<td>
0.029820
</td>
<td>
0.057380
</td>
<td>
0.012670
</td>
<td>
0.014880
</td>
<td>
0.004738
</td>
<td>
12.480
</td>
<td>
37.16
</td>
<td>
82.28
</td>
<td>
474.2
</td>
<td>
0.12980
</td>
<td>
0.25170
</td>
<td>
0.363000
</td>
<td>
0.096530
</td>
<td>
0.2112
</td>
<td>
0.08732
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
560
</th>
<td>
925292
</td>
<td>
B
</td>
<td>
14.050
</td>
<td>
27.15
</td>
<td>
91.38
</td>
<td>
600.4
</td>
<td>
0.09929
</td>
<td>
0.11260
</td>
<td>
0.044620
</td>
<td>
0.043040
</td>
<td>
0.1537
</td>
<td>
0.06171
</td>
<td>
0.3645
</td>
<td>
1.4920
</td>
<td>
2.8880
</td>
<td>
29.840
</td>
<td>
0.007256
</td>
<td>
0.026780
</td>
<td>
0.020710
</td>
<td>
0.016260
</td>
<td>
0.020800
</td>
<td>
0.005304
</td>
<td>
15.300
</td>
<td>
33.17
</td>
<td>
100.20
</td>
<td>
706.7
</td>
<td>
0.12410
</td>
<td>
0.22640
</td>
<td>
0.132600
</td>
<td>
0.104800
</td>
<td>
0.2250
</td>
<td>
0.08321
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
561
</th>
<td>
925311
</td>
<td>
B
</td>
<td>
11.200
</td>
<td>
29.37
</td>
<td>
70.67
</td>
<td>
386.0
</td>
<td>
0.07449
</td>
<td>
0.03558
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1060
</td>
<td>
0.05502
</td>
<td>
0.3141
</td>
<td>
3.8960
</td>
<td>
2.0410
</td>
<td>
22.810
</td>
<td>
0.007594
</td>
<td>
0.008878
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.019890
</td>
<td>
0.001773
</td>
<td>
11.920
</td>
<td>
38.30
</td>
<td>
75.19
</td>
<td>
439.6
</td>
<td>
0.09267
</td>
<td>
0.05494
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1566
</td>
<td>
0.05905
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
562
</th>
<td>
925622
</td>
<td>
M
</td>
<td>
15.220
</td>
<td>
30.62
</td>
<td>
103.40
</td>
<td>
716.9
</td>
<td>
0.10480
</td>
<td>
0.20870
</td>
<td>
0.255000
</td>
<td>
0.094290
</td>
<td>
0.2128
</td>
<td>
0.07152
</td>
<td>
0.2602
</td>
<td>
1.2050
</td>
<td>
2.3620
</td>
<td>
22.650
</td>
<td>
0.004625
</td>
<td>
0.048440
</td>
<td>
0.073590
</td>
<td>
0.016080
</td>
<td>
0.021370
</td>
<td>
0.006142
</td>
<td>
17.520
</td>
<td>
42.79
</td>
<td>
128.70
</td>
<td>
915.0
</td>
<td>
0.14170
</td>
<td>
0.79170
</td>
<td>
1.170000
</td>
<td>
0.235600
</td>
<td>
0.4089
</td>
<td>
0.14090
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
563
</th>
<td>
926125
</td>
<td>
M
</td>
<td>
20.920
</td>
<td>
25.09
</td>
<td>
143.00
</td>
<td>
1347.0
</td>
<td>
0.10990
</td>
<td>
0.22360
</td>
<td>
0.317400
</td>
<td>
0.147400
</td>
<td>
0.2149
</td>
<td>
0.06879
</td>
<td>
0.9622
</td>
<td>
1.0260
</td>
<td>
8.7580
</td>
<td>
118.800
</td>
<td>
0.006399
</td>
<td>
0.043100
</td>
<td>
0.078450
</td>
<td>
0.026240
</td>
<td>
0.020570
</td>
<td>
0.006213
</td>
<td>
24.290
</td>
<td>
29.41
</td>
<td>
179.10
</td>
<td>
1819.0
</td>
<td>
0.14070
</td>
<td>
0.41860
</td>
<td>
0.659900
</td>
<td>
0.254200
</td>
<td>
0.2929
</td>
<td>
0.09873
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
564
</th>
<td>
926424
</td>
<td>
M
</td>
<td>
21.560
</td>
<td>
22.39
</td>
<td>
142.00
</td>
<td>
1479.0
</td>
<td>
0.11100
</td>
<td>
0.11590
</td>
<td>
0.243900
</td>
<td>
0.138900
</td>
<td>
0.1726
</td>
<td>
0.05623
</td>
<td>
1.1760
</td>
<td>
1.2560
</td>
<td>
7.6730
</td>
<td>
158.700
</td>
<td>
0.010300
</td>
<td>
0.028910
</td>
<td>
0.051980
</td>
<td>
0.024540
</td>
<td>
0.011140
</td>
<td>
0.004239
</td>
<td>
25.450
</td>
<td>
26.40
</td>
<td>
166.10
</td>
<td>
2027.0
</td>
<td>
0.14100
</td>
<td>
0.21130
</td>
<td>
0.410700
</td>
<td>
0.221600
</td>
<td>
0.2060
</td>
<td>
0.07115
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
565
</th>
<td>
926682
</td>
<td>
M
</td>
<td>
20.130
</td>
<td>
28.25
</td>
<td>
131.20
</td>
<td>
1261.0
</td>
<td>
0.09780
</td>
<td>
0.10340
</td>
<td>
0.144000
</td>
<td>
0.097910
</td>
<td>
0.1752
</td>
<td>
0.05533
</td>
<td>
0.7655
</td>
<td>
2.4630
</td>
<td>
5.2030
</td>
<td>
99.040
</td>
<td>
0.005769
</td>
<td>
0.024230
</td>
<td>
0.039500
</td>
<td>
0.016780
</td>
<td>
0.018980
</td>
<td>
0.002498
</td>
<td>
23.690
</td>
<td>
38.25
</td>
<td>
155.00
</td>
<td>
1731.0
</td>
<td>
0.11660
</td>
<td>
0.19220
</td>
<td>
0.321500
</td>
<td>
0.162800
</td>
<td>
0.2572
</td>
<td>
0.06637
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
566
</th>
<td>
926954
</td>
<td>
M
</td>
<td>
16.600
</td>
<td>
28.08
</td>
<td>
108.30
</td>
<td>
858.1
</td>
<td>
0.08455
</td>
<td>
0.10230
</td>
<td>
0.092510
</td>
<td>
0.053020
</td>
<td>
0.1590
</td>
<td>
0.05648
</td>
<td>
0.4564
</td>
<td>
1.0750
</td>
<td>
3.4250
</td>
<td>
48.550
</td>
<td>
0.005903
</td>
<td>
0.037310
</td>
<td>
0.047300
</td>
<td>
0.015570
</td>
<td>
0.013180
</td>
<td>
0.003892
</td>
<td>
18.980
</td>
<td>
34.12
</td>
<td>
126.70
</td>
<td>
1124.0
</td>
<td>
0.11390
</td>
<td>
0.30940
</td>
<td>
0.340300
</td>
<td>
0.141800
</td>
<td>
0.2218
</td>
<td>
0.07820
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
567
</th>
<td>
927241
</td>
<td>
M
</td>
<td>
20.600
</td>
<td>
29.33
</td>
<td>
140.10
</td>
<td>
1265.0
</td>
<td>
0.11780
</td>
<td>
0.27700
</td>
<td>
0.351400
</td>
<td>
0.152000
</td>
<td>
0.2397
</td>
<td>
0.07016
</td>
<td>
0.7260
</td>
<td>
1.5950
</td>
<td>
5.7720
</td>
<td>
86.220
</td>
<td>
0.006522
</td>
<td>
0.061580
</td>
<td>
0.071170
</td>
<td>
0.016640
</td>
<td>
0.023240
</td>
<td>
0.006185
</td>
<td>
25.740
</td>
<td>
39.42
</td>
<td>
184.60
</td>
<td>
1821.0
</td>
<td>
0.16500
</td>
<td>
0.86810
</td>
<td>
0.938700
</td>
<td>
0.265000
</td>
<td>
0.4087
</td>
<td>
0.12400
</td>
<td>
NaN
</td>
</tr>
<tr>
<th>
568
</th>
<td>
92751
</td>
<td>
B
</td>
<td>
7.760
</td>
<td>
24.54
</td>
<td>
47.92
</td>
<td>
181.0
</td>
<td>
0.05263
</td>
<td>
0.04362
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.1587
</td>
<td>
0.05884
</td>
<td>
0.3857
</td>
<td>
1.4280
</td>
<td>
2.5480
</td>
<td>
19.150
</td>
<td>
0.007189
</td>
<td>
0.004660
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.026760
</td>
<td>
0.002783
</td>
<td>
9.456
</td>
<td>
30.37
</td>
<td>
59.16
</td>
<td>
268.6
</td>
<td>
0.08996
</td>
<td>
0.06444
</td>
<td>
0.000000
</td>
<td>
0.000000
</td>
<td>
0.2871
</td>
<td>
0.07039
</td>
<td>
NaN
</td>
</tr>
</tbody>
</table>
</body>
pip install h5py
Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: h5py in c:\programdata\anaconda3\lib\site-packages (3.9.0) Requirement already satisfied: numpy>=1.17.3 in c:\programdata\anaconda3\lib\site-packages (from h5py) (1.24.3) Note: you may need to restart the kernel to use updated packages.
###8. reading pdf file (.pdf) file
import pdfplumber
def read_pdf(file_path):
with pdfplumber.open(file_path) as pdf:
text = ''
for page in pdf.pages:
text += page.extract_text()
return text
# Example usage
pdf_file_path = 'foo.pdf'
pdf_text = read_pdf(pdf_file_path)
print(pdf_text)
2 Quantifying Fuel-Saving Opportunities from Specific Driving Behavior Changes 2.1 Savings from Improving Individual Driving Profiles 2.1.1 Drive Profile Subsample from Real-World Travel Survey The interim report (Gonder et al. 2010) included results from detailed analyses on five cycles selected from a large set of real-world global positioning system (GPS) travel data collected in 2006 as part of a study by the Texas Transportation Institute and the Texas Department of Transportation (Ojah and Pearson 2008). The cycles were selected to reflect a range of kinetic intensity (KI) values. (KI represents a ratio of characteristic acceleration to aerodynamic speed and has been shown to be a useful drive cycle classification parameter [O’Keefe et al. 2007].) To determine the maximum possible cycle improvement fuel savings, the real-world cycles were converted into equivalent “ideal” cycles using the following steps: 1. Calculate the trip distance of each sample trip. 2. Eliminate stop-and-go and idling within each trip. 3. Set the acceleration rate to 3 mph/s. 4. Set the cruising speed to 40 mph. 5. Continue cruising at 40 mph until the trip distance is reached. To compare vehicle simulations over each real-world cycle and its corresponding ideal cycle, a midsize conventional vehicle model from a previous NREL study was used (Earleywine et al. 2010). The results indicated a fuel savings potential of roughly 60% for the drive profiles with either very high or very low KI and of 30%–40% for the cycles with moderate KI values. Table 2-1 takes the analysis of these five cycles from the interim report a step further by examining the impact of the optimization steps one at a time in isolation. As indicated by other simulations from the interim report (Gonder et al. 2010), acceleration rate reductions can deliver some small fuel savings, but avoiding accelerations and decelerations (accel/decel) altogether saves larger amounts of fuel. This suggests that driving style improvements should focus on reducing the number of stops in high KI cycles, and not just the rate of accelerating out of a stop. Table 2-1. Simulated fuel savings from isolated cycle improvements Percent Fuel Savings Cycle KI Distance Improved Decreased Eliminate Decreased Name (1/km) (mi) Speed Accel Stops Idle 2012_2 3.30 1.3 5.9% 9.5% 29.2% 17.4% 2145_1 0.68 11.2 2.4% 0.1% 9.5% 2.7% 4234_1 0.59 58.7 8.5% 1.3% 8.5% 3.3% 2032_2 0.17 57.8 21.7% 0.3% 2.7% 1.2% 4171_1 0.07 173.9 58.1% 1.6% 2.1% 0.5% Figure 2-1 extends the analysis from eliminating stops for the five example cycles and examines the additional benefit from avoiding slow-and-go driving below various speed thresholds. 3
pdf_file_path = 'foo.pdf'
pdf_text = read_pdf(pdf_file_path)
print(pdf_text)
2 Quantifying Fuel-Saving Opportunities from Specific Driving Behavior Changes 2.1 Savings from Improving Individual Driving Profiles 2.1.1 Drive Profile Subsample from Real-World Travel Survey The interim report (Gonder et al. 2010) included results from detailed analyses on five cycles selected from a large set of real-world global positioning system (GPS) travel data collected in 2006 as part of a study by the Texas Transportation Institute and the Texas Department of Transportation (Ojah and Pearson 2008). The cycles were selected to reflect a range of kinetic intensity (KI) values. (KI represents a ratio of characteristic acceleration to aerodynamic speed and has been shown to be a useful drive cycle classification parameter [O’Keefe et al. 2007].) To determine the maximum possible cycle improvement fuel savings, the real-world cycles were converted into equivalent “ideal” cycles using the following steps: 1. Calculate the trip distance of each sample trip. 2. Eliminate stop-and-go and idling within each trip. 3. Set the acceleration rate to 3 mph/s. 4. Set the cruising speed to 40 mph. 5. Continue cruising at 40 mph until the trip distance is reached. To compare vehicle simulations over each real-world cycle and its corresponding ideal cycle, a midsize conventional vehicle model from a previous NREL study was used (Earleywine et al. 2010). The results indicated a fuel savings potential of roughly 60% for the drive profiles with either very high or very low KI and of 30%–40% for the cycles with moderate KI values. Table 2-1 takes the analysis of these five cycles from the interim report a step further by examining the impact of the optimization steps one at a time in isolation. As indicated by other simulations from the interim report (Gonder et al. 2010), acceleration rate reductions can deliver some small fuel savings, but avoiding accelerations and decelerations (accel/decel) altogether saves larger amounts of fuel. This suggests that driving style improvements should focus on reducing the number of stops in high KI cycles, and not just the rate of accelerating out of a stop. Table 2-1. Simulated fuel savings from isolated cycle improvements Percent Fuel Savings Cycle KI Distance Improved Decreased Eliminate Decreased Name (1/km) (mi) Speed Accel Stops Idle 2012_2 3.30 1.3 5.9% 9.5% 29.2% 17.4% 2145_1 0.68 11.2 2.4% 0.1% 9.5% 2.7% 4234_1 0.59 58.7 8.5% 1.3% 8.5% 3.3% 2032_2 0.17 57.8 21.7% 0.3% 2.7% 1.2% 4171_1 0.07 173.9 58.1% 1.6% 2.1% 0.5% Figure 2-1 extends the analysis from eliminating stops for the five example cycles and examines the additional benefit from avoiding slow-and-go driving below various speed thresholds. 3
###9. reading word file (.doc, docx) file
import docx2txt
text = docx2txt.process("Roadmap to Data Visualization.docx")
text
"Roadmap to Data Visualization\n\n\n\nDefine Your Goals:\n\nDetermine the purpose of your data visualization.\n\nIdentify the key questions you want to answer or the story you want to tell.\n\nData Collection and Preprocessing:\n\nGather relevant data from various sources.\n\nClean and preprocess the data to remove inconsistencies, missing values, and outliers.\n\nSelect the Right Visualization Tools:\n\nChoose the appropriate tools or software for your data visualization. Common options include:\n\nExcel\n\nTableau\n\nPython (matplotlib, seaborn, etc.)\n\nR (ggplot2, etc.)\n\nPower BI\n\nConsider your data format and requirements when selecting a tool.\n\nChoose the Right Visualization Types:\n\nSelect the most suitable visualization types based on your data and goals.\n\nCommon types include:\n\nBar charts\n\nLine charts\n\nScatter plots\n\nHeatmaps\n\nPie charts\n\nHistograms\n\nMaps\n\nEnsure your choice effectively communicates your message.\n\nCreate the Visualization:\n\nUse the chosen tool to create your visualizations.\n\nPay attention to design principles such as color, labeling, and clarity.\n\nInteractivity and Drill-Down:\n\nIf applicable, add interactivity to allow users to explore the data further.\n\nIncorporate drill-down features for more detailed insights.\n\nStorytelling and Annotations:\n\nCraft a narrative around your visualizations.\n\nUse annotations, captions, and titles to guide the audience and emphasize key points.\n\nReview and Refine:\n\nReview your visualizations for accuracy and clarity.\n\nSeek feedback from colleagues or users and refine as needed.\n\nSharing and Distribution:\n\nDecide on the platform for sharing your visualizations (reports, websites, dashboards, etc.).\n\nEnsure accessibility on different devices and browsers.\n\nContinuous Learning and Improvement:\n\nStay updated on data visualization best practices.\n\nLearn from user feedback and iterate on your visualizations.\n\nData Security and Privacy:\n\nBe mindful of data security and privacy concerns, especially when sharing sensitive information.\n\nAccessibility:\n\nEnsure your visualizations are accessible to people with disabilities by adhering to accessibility guidelines.\n\nRemember that data visualization is an iterative process. It's essential to continuously assess and refine your visualizations to make them more effective and insightful for your audience\n\n\n\n\n\n\nTitle: Choose a compelling and descriptive title that reflects the essence of your book.\n\nTable of Contents:\n\n1. Introduction\n\nProvide an overview of the importance of effective communication.\n\nState the purpose of the book.\n\nPreview the main topics or strategies covered.\n\n2. Understanding Communication\n\nDefine communication and its significance.\n\nDiscuss the different forms of communication (verbal, non-verbal, written, and visual).\n\nExplain the communication process.\n\n3. Barriers to Effective Communication\n\nIdentify common barriers to effective communication (e.g., noise, language, cultural differences, emotional barriers).\n\nDiscuss the impact of these barriers on communication.\n\n4. Active Listening\n\nExplain the importance of active listening.\n\nProvide strategies for becoming a better listener.\n\nShare exercises and tips for improving listening skills.\n\n5. Verbal Communication\n\nDiscuss the elements of effective verbal communication (e.g., tone, clarity, empathy).\n\nOffer guidance on how to speak confidently and persuasively.\n\nExplore the power of storytelling in communication.\n\n6. Non-Verbal Communication\n\nExplain the role of body language, facial expressions, and gestures in communication.\n\nOffer tips for interpreting and utilizing non-verbal cues effectively.\n\n7. Written Communication\n\nDiscuss the principles of effective written communication (e.g., clarity, conciseness, organization).\n\nProvide examples and exercises for improving written communication skills.\n\n8. Visual Communication\n\nExplore the use of visuals, such as graphs, charts, and images, to enhance communication.\n\nOffer guidelines for creating compelling presentations and visuals.\n\n9. Cross-Cultural Communication\n\nAddress the challenges of communicating across cultures.\n\nProvide strategies for understanding and respecting cultural differences.\n\n10. Interpersonal Communication\n\nDiscuss effective communication in personal and professional relationships.\n\nOffer advice on conflict resolution and assertiveness.\n\n11. Communication in the Digital Age\n\nExamine the impact of technology on communication.\n\nOffer guidance on email etiquette, social media, and virtual meetings.\n\n12. Public Speaking\n\nProvide tips and techniques for confident and impactful public speaking.\n\nShare advice on preparing and delivering effective speeches and presentations.\n\n13. Communication in Leadership\n\nDiscuss the role of communication in leadership and management.\n\nOffer insights into leading and motivating through effective communication.\n\n14. Communication for Success\n\nSummarize key takeaways and principles for effective communication.\n\nProvide real-life examples and success stories related to communication.\n\n15. Conclusion\n\nReiterate the importance of effective communication.\n\nEncourage readers to apply the strategies discussed in the book.\n\n16. Additional Resources\n\nSuggest books, courses, and websites for further learning on communication.\n\n17. Index\n\nCreate an index for easy reference.\n\n18. Acknowledgments\n\nAcknowledge any individuals or organizations that contributed to your work.\n\n19. About the Author\n\nProvide a brief author bio.\n\n20. Endnotes or References\n\nInclude citations and references for sources used in the book.\n\nRemember to adapt and expand upon each chapter based on your expertise and the needs of your target audience. Additionally, consider including anecdotes, case studies, and exercises to make the content more engaging and practical for readers."
#pip install h5pyviewer
# 10 read HDF5 file
import numpy as np
import h5py
import h5pyviewer
# initializing a random numpy array
arr = np.random.randn(1000)
# creating a file
with h5py.File('test1.h5', 'w') as f:
dset = f.create_dataset("default", data = arr)
# open the file as 'f'
with h5py.File('test.hdf5', 'r') as f:
data = f['default']
# get the minimum value
print(min(data))
# get the maximum value
print(max(data))
# get the values ranging from index 0 to 15
print(data[:15])
-3.680484201148214 3.2277251139279 [ 0.73962353 -0.45939809 -1.74205745 -0.35042249 0.01443158 -1.03511715 -0.1448314 2.24671719 -0.33959267 -0.05073489 -1.5053912 -0.67317456 -2.55026072 -1.01082573 0.88999643]
import numpy as np
import h5py
arr1 = np.random.randn(10000)
arr2 = np.random.randn(10000)
with h5py.File('test1.h5', 'w') as f:
f.create_dataset('array_1', data = arr1)
f.create_dataset('array_2', data = arr2)
with h5py.File('test1.h5', 'r') as f:
d1 = f['array_1']
d2 = f['array_2']
data = d2[d1[:]>1]
print(data)
[ 0.17530662 -0.79954885 1.4786399 ... 1.48122416 -0.94423256 -0.67073188]
pip install pandas pypandoc
Defaulting to user installation because normal site-packages is not writeable Requirement already satisfied: pypandoc in c:\users\ummesalma\appdata\roaming\python\python311\site-packages (1.12) Note: you may need to restart the kernel to use updated packages.
pip install pypandoc wheels
Defaulting to user installation because normal site-packages is not writeableNote: you may need to restart the kernel to use updated packages. Requirement already satisfied: pypandoc in c:\users\ummesalma\appdata\roaming\python\python311\site-packages (1.12)
ERROR: Could not find a version that satisfies the requirement wheels (from versions: none) ERROR: No matching distribution found for wheels
import pandas as pd
import pypandoc
def read_latex(file_path):
# Convert LaTeX to plain text using pandoc
try:
content = pypandoc.convert_file(file_path, 'plain', format='latex',encoding="utf8")
except Exception as e:
print(f"Error converting LaTeX to plain text: {e}")
return None
# Process the plain text content as needed
# For example, you can print it or return it
return content
# Example usage
latex_file_path = 'Agri_IoT_TaylorFrancis.tex'
latex_content = read_latex(latex_file_path)
if latex_content is not None:
print(latex_content)
[WARNING] The 'encoding' parameter will be removed in version 1.13. Just remove the parameter, because currently the method does not use it.
Error converting LaTeX to plain text: source_file is not a valid path
# read()prints the content of the file
f = open("zen_of_python.txt", "r")
print (f.read(500))
f.close()
pen('zen_of_python.txt') as f:
print(f.read())
The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to