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Country | City | Year | Annualmean | Temporalcoverage | note-on-converted-PM2.5 | |
---|---|---|---|---|---|---|
India | Kanpur | 2016 | 173 | >75% | Measured | |
China | Baoding | 2016 | 93 | NA | Measured | |
Mongolia | Ulaanbaatar | 2016 | 92 | >75% | Measured | |
Saudi Arabia | Riyadh | 2016 | 73 | NA | Measured | |
Bosnia and Herzegovina | Lukavac | 2016 | 64 | >75% | Measured | |
Bahrain | Manama | 2016 | 63 | 50% -< 75% | Measured | |
Iran (Islamic Republic of) | Shahre Kord | 2016 | 61 | NA | Measured | |
Bangladesh | Dhaka | 2016 | 57 | >75% | Measured | |
Ghana | Accra | 2016 | 55 | NA | Measured |
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{ | |
"name" : "Crimes", | |
"children" : [ | |
{ | |
"name" : "Manhattan", | |
"children" : [ | |
{ | |
"name" : 1, | |
"value" : 1356 | |
}, |
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{ | |
"name": "Crimes", | |
"children": [ | |
{ | |
"count": 133, | |
"name": "Manhattan", | |
"children": [ | |
{ | |
"count": 7, | |
"name": 2000, |
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import csv | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import statistics | |
# The dataset is about the size of initial coin offering (ICOs) from February 2014 to July 2018 | |
# The dataset also includes the name and close date of ICOs, which can be used for further analysis | |
# The following script provides the median, quartiles, the mean and standard deviation of ICO size. | |
# Next step: A company called EOS raised $4,200 million dollar through ICO on June 1, 2018 |
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<!DOCTYPE html> | |
<html> | |
<meta charset="utf-8"> | |
<body> | |
<script src="https://d3js.org/d3.v3.min.js"></script> | |
<script> | |
var width = 1200, | |
height = 500; |
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date | value | |
---|---|---|
2013-01 | 53 | |
2013-02 | 165 | |
2013-03 | 269 | |
2013-04 | 344 | |
2013-05 | 376 | |
2013-06 | 410 | |
2013-07 | 421 | |
2013-08 | 405 | |
2013-09 | 376 |
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country | decade | nattack | |
---|---|---|---|
Afghanistan | 1 | 4 | |
Afghanistan | 2 | 22 | |
Afghanistan | 3 | 98 | |
Afghanistan | 4 | 1949 | |
Afghanistan | 5 | 10658 | |
Albania | 2 | 1 | |
Albania | 3 | 64 | |
Albania | 4 | 5 | |
Albania | 5 | 10 |
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