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Add coronavirus dataset

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Coronavirus/2019_nCoV_data.csv 0 → 100644
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Coronavirus/README.md 0 → 100644
Data Science Dojo <br/>
Copyright (c) 2019 - 2020
---
**Level:** Intermediate <br/>
**Recommended Use:** Classification Models<br/>
**Domain:** Health Sciences<br/>
## Coronavirus Data Set
### Track the outbreak of coronoavirus (COVID-19)
---
![](coronavirus.jpg)
---
The recent outbreak of the novel coronavirus has caused great concern all around the world. It has affected more around tens of thousands of people, mostly in China.
The outbreak, originating in the Chinese city of Wuhan, has been declared a global emergency by the World Health Organization (WHO).
This data set consists of 4 files and was collected through various sources.
The first file **2019ncovdata.csv** contains daily level information on the number of 2019-nCoV affected cases across the globe.
The next 3 files contain time series data of confirmed cases, death cases and recovered cases, respectively.
The data dictionary for the first file is provided below.
---
### Data Dictionary
| Column Position | Atrribute Name | Definition |
|------------------- |----------------------- |------------------------------------------------------------------------------ |
| 1 | Sno | Serial Number |
| 2 | Date | Date and time of the observation in MM/DD/YYYY HH:MM:SS |
| 3 | Province / State | Province or state of the observation |
| 4 | Country | Country of observation |
| 5 | Last Update | Time in UTC at which the row is updated for the given province or country. |
| 6 | Confirmed | Number of confirmed cases |
| 7 | Deaths | Number of deaths |
| 8 | Recovered | Number of recovered cases |
---
### Acknowledgement
This data set has been sourced from [Kaggle](https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset) and [Johns Hopkins University](https://github.com/CSSEGISandData/COVID-19).
This dataset is provided to the public strictly for educational and academic research purposes
\ No newline at end of file
Coronavirus/time_series_2019_ncov_confirmed.csv 0 → 100644
Province/State,Country/Region,Lat,Long,1/21/20 22:00,1/22/20 12:00,1/23/20 12:00,1/24/20 0:00,1/24/20 12:00,1/25/20 0:00,1/25/20 12:00,1/25/20 22:00,1/26/20 11:00,1/26/20 23:00,1/27/20 9:00,1/27/20 19:00,1/27/20 20:30,1/28/20 13:00,1/28/20 18:00,1/28/20 23:00,1/29/20 13:30,1/29/20 14:30,1/29/20 21:00,1/30/20 11:00,1/31/20 14:00,02/01/20 10:00,02/02/20 21:00,02/03/20 21:00,02/04/20 9:40,02/04/20 22:00,02/05/20 9:00,02/05/20 23:00,02/06/20 9:00,02/06/20 14:20,02/07/20 20:13,02/07/20 22:50,02/08/20 22:04,02/08/20 23:04,02/09/20 10:30,02/09/20 23:20
Anhui,Mainland China,31.82571,117.2264,,1,9,15,15,39,39,60,60,70,70,70,106,106,106,152,152,152,200,200,237,297,408,480,480,530,530,591,591,591,665,733,733,779,779,830
Beijing,Mainland China,40.18238,116.4142,10,14,22,26,36,36,41,51,68,68,72,80,80,91,91,91,111,111,111,114,139,168,191,212,212,228,253,274,274,274,297,315,315,326,326,337
Chongqing,Mainland China,30.05718,107.874,5,6,9,27,27,57,57,75,75,110,110,110,132,132,132,147,147,147,165,182,211,247,300,337,337,366,376,389,400,400,415,426,428,446,450,468
Fujian,Mainland China,26.07783,117.9895,,1,5,5,10,10,18,18,35,35,56,59,59,80,80,82,84,84,101,101,120,144,159,179,179,194,205,215,215,215,224,239,239,250,250,261
Gansu,Mainland China,36.0611,103.8343,,,2,2,2,4,4,7,7,14,14,14,19,19,19,24,24,24,26,26,29,35,51,55,55,57,57,62,62,62,67,71,79,79,79,83
Guangdong,Mainland China,23.33841,113.422,17,26,32,53,53,78,78,98,111,146,151,151,151,207,207,241,277,277,311,354,436,535,683,725,797,870,895,944,970,970,1034,1075,1095,1120,1131,1151
Guangxi,Mainland China,23.82908,108.7881,,2,5,13,23,23,23,33,36,46,46,46,51,51,51,58,58,58,78,78,87,100,127,139,139,150,150,168,168,168,172,183,183,195,195,210
Guizhou,Mainland China,26.81536,106.8748,,1,3,3,3,4,4,5,5,7,7,7,9,9,9,9,9,9,12,12,29,29,46,56,56,64,64,69,71,71,81,89,89,96,99,109
Hainan,Mainland China,19.19673,109.7455,,4,5,8,8,17,19,19,22,22,33,33,33,40,40,43,43,43,43,46,52,62,71,79,79,91,91,100,106,106,117,124,124,128,131,136
Hebei,Mainland China,38.0428,114.5149,,1,1,2,2,8,8,13,13,18,18,18,33,33,33,48,48,48,65,65,82,96,113,126,126,135,135,157,157,157,172,195,195,206,206,218
Heilongjiang,Mainland China,47.862,127.7622,,,2,4,4,9,9,15,15,21,21,21,30,33,33,37,38,38,43,44,59,80,95,155,155,190,190,227,227,227,277,295,295,307,307,331
Henan,Mainland China,33.88202,113.614,,5,5,9,9,32,32,83,83,128,128,128,168,168,168,206,206,206,278,278,352,422,566,675,675,764,764,851,851,851,914,981,981,1033,1033,1073
Hubei,Mainland China,30.97564,112.2707,270,444,444,549,549,729,761,1052,1058,1423,1423,1423,2714,2714,3554,3554,3554,3554,4586,4903,5806,7153,11177,13522,13522,16678,16678,19665,19665,19665,22112,24953,24953,27100,27100,29631
Hunan,Mainland China,27.61041,111.7088,1,4,9,24,24,43,43,69,69,100,100,100,100,143,143,221,221,221,277,277,332,389,521,521,593,661,661,711,711,711,772,803,803,838,838,879
Inner Mongolia,Mainland China,44.09448,113.9456,,,,1,1,2,7,7,7,11,11,11,11,15,15,16,16,16,16,19,20,23,27,34,34,42,42,46,46,46,50,52,52,54,54,58
Jiangsu,Mainland China,32.97027,119.464,,1,5,9,9,18,18,31,33,47,47,47,70,70,70,99,99,99,129,129,168,202,271,308,308,341,341,373,373,373,408,439,439,468,468,492
Jiangxi,Mainland China,27.61401,115.7221,2,2,7,7,18,18,18,36,36,48,48,72,72,72,109,109,109,109,162,162,240,286,391,391,476,548,548,600,600,600,661,698,698,740,740,771
Jilin,Mainland China,43.66657,126.1917,,,1,3,3,4,4,4,4,6,6,6,6,8,8,9,9,9,14,14,14,17,31,42,42,54,54,59,59,59,65,69,69,78,78,80
Liaoning,Mainland China,41.29284,122.6086,,2,3,4,4,15,17,19,21,23,27,27,27,34,34,36,39,39,39,41,48,63,70,74,74,81,88,89,91,94,99,99,105,105,107,107
Ningxia,Mainland China,37.26923,106.1655,,1,1,1,2,3,3,4,4,4,7,7,7,11,11,12,12,12,12,17,21,26,28,31,34,34,34,40,40,40,43,45,45,45,45,49
Qinghai,Mainland China,35.65945,96.02564,,,,,,,1,1,1,4,4,6,6,6,6,6,6,6,6,8,8,9,11,13,15,17,17,18,18,18,18,18,18,18,18,18
Shaanxi,Mainland China,35.19165,108.8701,,,3,3,5,5,15,15,22,22,35,35,35,46,46,56,56,56,56,63,87,101,116,128,142,165,165,173,173,173,184,195,195,208,208,213
Shandong,Mainland China,36.34377,118.1529,1,2,6,9,15,21,27,39,46,63,75,75,87,95,95,121,130,130,145,158,184,206,246,270,270,298,307,343,347,347,386,407,416,435,444,459
Shanghai,Mainland China,31.20327,121.4554,9,9,16,20,20,33,33,40,40,53,53,53,66,66,66,80,96,96,101,112,135,169,193,208,208,233,243,254,257,257,277,281,286,292,293,295
Shanxi,Mainland China,37.57769,112.2922,,1,1,1,1,6,6,9,9,13,13,13,20,20,27,27,27,27,35,35,39,47,66,74,74,81,81,90,90,90,96,104,104,115,115,119
Sichuan,Mainland China,30.61714,102.7103,2,5,8,15,15,28,28,44,44,69,69,69,90,90,90,108,108,108,142,142,177,207,254,254,282,301,301,321,321,321,344,363,364,386,386,405
Tianjin,Mainland China,39.29362,117.333,2,4,4,5,8,8,10,13,14,14,22,23,23,24,24,25,27,27,27,31,32,38,48,60,60,67,69,69,78,78,81,88,88,90,90,94
Tibet,Mainland China,30.1534,88.7879,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
Xinjiang,Mainland China,41.11981,85.17822,,,2,2,2,3,3,4,4,5,5,5,5,10,10,13,13,13,14,14,17,18,24,24,29,32,32,36,36,36,39,42,42,45,45,49
Yunnan,Mainland China,24.97411,101.4868,1,1,2,2,5,5,11,11,16,19,26,26,26,44,44,44,55,55,55,70,83,91,105,117,117,122,124,128,133,133,138,138,138,140,141,141
Zhejiang,Mainland China,29.18251,120.0985,5,10,27,43,43,62,62,104,104,128,128,128,173,173,173,296,296,296,428,428,538,599,724,724,829,895,895,954,954,954,1006,1048,1048,1075,1075,1092
,Thailand,13.7563,100.5018,2,2,3,4,5,5,7,7,8,8,8,8,8,14,14,14,14,14,14,14,19,19,19,19,19,25,25,25,25,25,25,25,32,32,32,32
,Japan,35.6762,139.6503,1,2,2,2,2,2,2,2,4,4,4,4,4,7,7,7,7,7,11,11,15,17,20,20,20,22,22,45,45,45,25,25,25,25,26,26
,South Korea,37.5665,126.978,,1,1,1,2,2,2,2,3,3,4,4,4,4,4,4,4,4,4,4,11,12,15,15,15,16,16,23,23,23,24,36,24,25,25,27
Taiwan,Taiwan,23.6978,120.9605,1,1,1,1,3,3,3,3,4,4,5,5,5,8,8,8,8,8,8,9,10,10,10,10,10,11,11,11,13,16,16,16,17,17,18,18
"Seattle, WA",US,47.7511,-120.74,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
"Chicago, IL",US,40.6331,-89.3985,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
"Tempe, AZ",US,34.0489,-111.094,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
Macau,Macau,22.1987,113.5439,,1,2,2,2,2,2,2,5,6,6,6,6,7,7,7,7,7,7,7,7,7,8,8,8,10,10,10,10,10,10,10,10,10,10,10
Hong Kong,Hong Kong,22.3193,114.1694,,,2,2,2,5,5,5,8,8,8,8,8,8,8,8,10,10,10,10,12,13,15,15,15,18,21,21,21,24,25,26,26,26,29,36
,Singapore,1.3521,103.8198,,,1,1,3,3,3,3,4,4,4,5,5,7,7,7,7,7,10,10,13,18,18,18,18,24,24,28,28,28,30,30,33,40,40,43
,Vietnam,21.0278,105.8342,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,6,6,8,8,8,8,10,10,10,10,10,13,13,13,14
,France,46.2276,2.2137,,,,,2,3,3,3,3,3,3,3,3,3,4,4,4,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,11,11,11,11
,Nepal,28.3949,84.124,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,Malaysia,4.2105,101.9758,,,,,,3,3,3,4,4,4,4,4,4,4,7,7,7,7,8,8,8,8,8,8,10,10,12,12,12,12,12,16,16,16,18
"Toronto, ON",Canada,43.6532,-79.3832,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
British Columbia,Canada,49.2827,-123.121,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,4,4,4,4,4,4
"Orange, CA",US,33.7879,-117.8531,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
"Los Angeles, CA",US,34.0522,-118.2437,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
New South Wales,Australia,-33.8688,151.2093,,,,,,,,,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4
Victoria,Australia,-37.8136,144.9631,,,,,,,,,1,1,1,1,1,1,1,1,1,1,2,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4
Queensland,Australia,-27.4698,153.0251,,,,,,,,,,,,,,,,,,,1,2,2,2,2,2,2,3,3,4,4,4,5,5,5,5,5,5
,Cambodia,12.5657,104.991,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,Sri Lanka,7.8731,80.7718,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,Germany,51.1657,10.4515,,,,,,,,,,,,,1,1,4,4,4,4,4,4,5,7,10,10,12,12,12,12,12,12,13,13,13,13,14,14
,Finland,61.9241,25.7482,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,United Arab Emirates,23.4241,53.8478,,,,,,,,,,,,,,,,,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,7,7,7,7
,Philippines,12.8797,121.774,,,,,,,,,,,,,,,,,,,,1,1,1,2,2,2,2,2,2,2,2,3,3,3,3,3,3
,India,20.5937,78.9629,,,,,,,,,,,,,,,,,1,,,1,1,1,2,2,3,3,3,3,3,3,3,3,3,3,3,3
"London, ON",Canada,42.9849,-81.2453,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,Italy,41.8719,12.5674,,,,,,,,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3
,UK,55.3781,-3.436,,,,,,,,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3
,Russia,61.524,105.3188,,,,,,,,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
,Sweden,60.1282,18.6435,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
"Santa Clara, CA",US,37.3541,-121.9552,,,,,,,,,,,,,,,,,,,,,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2
,Spain,40.4637,-3.7492,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2
South Australia,Australia,-34.9285,138.6007,,,,,,,,,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
"Boston, MA",US,42.3601,-71.0589,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1
"San Benito, CA",US,36.5761,-120.9876,,,,,,,,,,,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,2,2,2
,Belgium,50.5039,4.4699,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1
"Madison, WI",US,43.0731,-89.4012,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1
Diamond Princess cruise ship,Others,35.4437,129.638,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,61,61,61,61,64,64
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Coronavirus/time_series_2019_ncov_deaths.csv 0 → 100644
Province/State,Country/Region,Lat,Long,1/21/20 22:00,1/22/20 12:00,1/23/20 12:00,1/24/20 0:00,1/24/20 12:00,1/25/20 0:00,1/25/20 12:00,1/25/20 22:00,1/26/20 11:00,1/26/20 23:00,1/27/20 9:00,1/27/20 19:00,1/27/20 20:30,1/28/20 13:00,1/28/20 18:00,1/28/20 23:00,1/29/20 13:30,1/29/20 14:30,1/29/20 21:00,1/30/20 11:00,1/31/20 14:00,02/01/20 10:00,02/02/20 21:00,02/03/20 21:00,02/04/20 9:40,02/04/20 22:00,02/05/20 9:00,02/05/20 23:00,02/06/20 9:00,02/06/20 14:20,02/07/20 20:13,02/07/20 22:50,02/08/20 10:24,02/08/20 23:04,02/09/20 10:30,02/09/20 23:20
Anhui,Mainland China,31.82571,117.2264,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,1,1,3
Beijing,Mainland China,40.18238,116.4142,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2
Chongqing,Mainland China,30.05718,107.874,,,,,,,,,,,,,,,,,,,,,,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2
Fujian,Mainland China,26.07783,117.9895,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Gansu,Mainland China,36.0611,103.8343,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,2
Guangdong,Mainland China,23.33841,113.422,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1
Guangxi,Mainland China,23.82908,108.7881,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,1,1,1
Guizhou,Mainland China,26.81536,106.8748,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1
Hainan,Mainland China,19.19673,109.7455,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,3,3
Hebei,Mainland China,38.0428,114.5149,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2
Heilongjiang,Mainland China,47.862,127.7622,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,3,3,3,3,5,5,6,6,7
Henan,Mainland China,33.88202,113.614,,,,,,,,,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,4,4,6,6,6
Hubei,Mainland China,30.97564,112.2707,,,,24,24,32,40,52,52,76,76,76,100,100,125,125,125,125,162,162,204,249,350,414,414,479,479,549,549,549,618,699,699,780,780,871
Hunan,Mainland China,27.61041,111.7088,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1
Inner Mongolia,Mainland China,44.09448,113.9456,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Jiangsu,Mainland China,32.97027,119.464,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Jiangxi,Mainland China,27.61401,115.7221,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,1
Jilin,Mainland China,43.66657,126.1917,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1
Liaoning,Mainland China,41.29284,122.6086,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Ningxia,Mainland China,37.26923,106.1655,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Qinghai,Mainland China,35.65945,96.02564,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Shaanxi,Mainland China,35.19165,108.8701,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Shandong,Mainland China,36.34377,118.1529,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,1,1,1
Shanghai,Mainland China,31.20327,121.4554,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
Shanxi,Mainland China,37.57769,112.2922,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Sichuan,Mainland China,30.61714,102.7103,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
Tianjin,Mainland China,39.29362,117.333,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1
Tibet,Mainland China,30.1534,88.7879,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Xinjiang,Mainland China,41.11981,85.17822,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Yunnan,Mainland China,24.97411,101.4868,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Zhejiang,Mainland China,29.18251,120.0985,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Hong Kong,Hong Kong,22.3193,114.1694,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1
Macau,Macau,22.1987,113.5439,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Taiwan,Taiwan,23.6978,120.9605,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Seattle, WA",US,47.7511,-120.74,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Chicago, IL",US,40.6331,-89.3985,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Tempe, AZ",US,34.0489,-111.094,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Japan,35.6762,139.6503,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Thailand,13.7563,100.5018,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,South Korea,37.5665,126.978,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Singapore,1.3521,103.8198,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Vietnam,21.0278,105.8342,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,France,46.2276,2.2137,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Nepal,28.3949,84.124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Malaysia,4.2105,101.9758,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Toronto, ON",Canada,43.6532,-79.3832,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
British Columbia,Canada,49.2827,-123.121,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Orange, CA",US,33.7879,-117.8531,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Los Angeles, CA",US,34.0522,-118.2437,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
New South Wales,Australia,-33.8688,151.2093,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Victoria,Australia,-37.8136,144.9631,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Queensland,Australia,-27.4698,153.0251,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Cambodia,12.5657,104.991,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Sri Lanka,7.8731,80.7718,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Germany,51.1657,10.4515,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Finland,61.9241,25.7482,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,United Arab Emirates,23.4241,53.8478,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Philippines,12.8797,121.774,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,India,20.5937,78.9629,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"London, ON",Canada,42.9849,-81.2453,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Italy,41.8719,12.5674,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,UK,55.3781,-3.436,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Russia,61.524,105.3188,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Sweden,60.1282,18.6435,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Santa Clara, CA",US,37.3541,-121.9552,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Spain,40.4637,-3.7492,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
South Australia,Australia,-34.9285,138.6007,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Boston, MA",US,42.3601,-71.0589,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"San Benito, CA",US,36.5761,-120.9876,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Belgium,50.5039,4.4699,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Madison, WI",US,43.0731,-89.4012,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Diamond Princess cruise ship,Others,35.4437,129.638,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
\ No newline at end of file
Coronavirus/time_series_2019_ncov_recovered.csv 0 → 100644
Province/State,Country/Region,Lat,Long,1/21/20 22:00,1/22/20 12:00,1/23/20 12:00,1/24/20 0:00,1/24/20 12:00,1/25/20 0:00,1/25/20 12:00,1/25/20 22:00,1/26/20 11:00,1/26/20 23:00,1/27/20 9:00,1/27/20 19:00,1/27/20 20:30,1/28/20 13:00,1/28/20 18:00,1/28/20 23:00,1/29/20 13:30,1/29/20 14:30,1/29/20 21:00,1/30/20 11:00,1/31/20 14:00,02/01/20 10:00,02/02/20 21:00,02/03/20 21:00,02/04/20 9:40,02/04/20 22:00,02/05/20 9:00,02/05/20 23:00,02/06/20 9:00,02/06/20 14:20,02/07/20 20:13,02/07/20 22:50,02/08/20 10:24,02/08/20 23:04,02/09/20 10:30,02/09/20 23:20
Anhui,Mainland China,31.82571,117.2264,,,,,,,,,,,,,,,,,2,2,2,2,3,5,7,14,14,20,23,23,34,34,47,47,59,59,72,73
Beijing,Mainland China,40.18238,116.4142,,,,,1,1,2,2,2,2,2,2,2,4,4,4,4,4,4,4,5,9,9,12,12,23,24,31,31,31,33,34,34,37,37,44
Chongqing,Mainland China,30.05718,107.874,,,,,,,,,,,,,,,,1,,1,1,1,1,3,7,9,9,14,15,15,24,24,31,31,39,39,50,51
Fujian,Mainland China,26.07783,117.9895,,,,,,,,,,,,,,,,,,,,,,,,1,1,3,11,11,14,14,20,20,24,26,35,35
Gansu,Mainland China,36.0611,103.8343,,,,,,,,,,,,,,,,,,,,,,,3,3,3,4,4,6,6,6,9,9,12,12,15,16
Guangdong,Mainland China,23.33841,113.422,,,2,2,2,2,2,2,2,2,3,4,4,4,4,5,5,5,6,10,11,14,15,21,21,32,49,49,69,69,88,97,112,125,141,147
Guangxi,Mainland China,23.82908,108.7881,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,7,7,10,13,14,14,14,17,17,17,18,18,18
Guizhou,Mainland China,26.81536,106.8748,,,,,,,,,,,,,,,,,,1,1,1,2,2,2,2,2,5,9,6,6,6,6,6,7,7,7,7
Hainan,Mainland China,19.19673,109.7455,,,,,,,,,,,,,,,,,1,,,1,1,1,4,4,4,4,5,5,8,8,10,11,14,15,19,19
Hebei,Mainland China,38.0428,114.5149,,,,,,,,,,,,,,,,,,,,,,,3,3,3,4,6,7,13,13,22,25,30,30,34,35
Heilongjiang,Mainland China,47.862,127.7622,,,,,,,,,,,,,,,,,,,,,,2,2,2,2,4,7,7,8,8,12,12,13,13,14,15
Henan,Mainland China,33.88202,113.614,,,,,,,,,,,,,,,,1,1,1,2,2,3,3,14,14,20,41,47,54,56,56,86,97,116,131,153,169
Hubei,Mainland China,30.97564,112.2707,25,28,28,31,31,32,32,42,42,44,45,45,47,52,80,80,80,88,90,90,141,168,295,386,396,522,537,651,712,712,867,1115,1218,1440,1480,1795
Hunan,Mainland China,27.61041,111.7088,,,,,,,,,,,,,,,,,,,,2,2,8,16,22,22,35,53,56,81,81,112,119,156,159,186,186
Inner Mongolia,Mainland China,44.09448,113.9456,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,3,4,4,4,5,5,5,5,5,5
Jiangsu,Mainland China,32.97027,119.464,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,6,7,8,8,13,23,29,34,34,43,43,51,58,71,72
Jiangxi,Mainland China,27.61401,115.7221,,,,,,,,,,,1,2,2,3,3,3,3,3,4,5,7,9,18,18,19,27,27,37,37,37,45,55,55,72,73,102
Jilin,Mainland China,43.66657,126.1917,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,2,2,3,4,4,4,4,5,12,12
Liaoning,Mainland China,41.29284,122.6086,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,2,4,4,5,5,7,7,8,8,12,12
Ningxia,Mainland China,37.26923,106.1655,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,5,5,15,13,13,13
Qinghai,Mainland China,35.65945,96.02564,,,,,,,,,,,,,,,,,,,,,,,,0,,,3,3,3,3,3,3,3,3,3,3
Shaanxi,Mainland China,35.19165,108.8701,,,,,,,,,,,,,,,,,,,,,,,,0,2,2,6,7,9,9,17,17,20,25,25,26
Shandong,Mainland China,36.34377,118.1529,,,,,,,,,,,,,,,,,1,1,1,1,2,3,6,7,7,13,15,21,27,27,37,38,44,50,63,63
Shanghai,Mainland China,31.20327,121.4554,,,,,1,1,1,1,1,1,3,3,3,4,4,4,4,5,5,5,9,10,10,10,10,12,15,25,25,25,30,3,41,41,44,44
Shanxi,Mainland China,37.57769,112.2922,,,,,,,,,,,,,,,,,,1,1,1,1,1,3,2,2,4,4,6,8,12,15,15,20,21,22,25
Sichuan,Mainland China,30.61714,102.7103,,,,,,,,,,,,,,,,,,1,1,1,1,3,12,14,14,23,24,27,31,31,42,5,60,60,71,76
Tianjin,Mainland China,39.29362,117.333,,,,,,,,,,,,,,,,,,,,,,,1,1,1,2,2,2,2,2,2,2,4,4,4,4
Tibet,Mainland China,30.1534,88.7879,,,,,,,,,,,,,,,,,,,,,,,,0,,,,,,,,,0,0,0,0
Xinjiang,Mainland China,41.11981,85.17822,,,,,,,,,,,,,,,,,,,,,,,,0,,,,,,,,,0,0,0,0
Yunnan,Mainland China,24.97411,101.4868,,,,,,,,,,,,,,,,,,,,,1,2,3,5,5,5,5,5,7,7,12,12,17,17,18,18
Zhejiang,Mainland China,29.18251,120.0985,,,,1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,4,4,14,21,36,43,48,63,78,81,94,94,123,127,175,185,201,201
Hong Kong,Hong Kong,22.3193,114.1694,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Macau,Macau,22.1987,113.5439,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1
Taiwan,Taiwan,23.6978,120.9605,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1
"Seattle, WA",US,47.7511,-120.74,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,1,1
"Chicago, IL",US,40.6331,-89.3985,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,2
"Tempe, AZ",US,34.0489,-111.094,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Japan,35.6762,139.6503,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,Thailand,13.7563,100.5018,,,,,,,,,2,2,2,2,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,10,10,10,10
,South Korea,37.5665,126.978,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,3,3,3
,Singapore,1.3521,103.8198,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2,2,2,2
,Vietnam,21.0278,105.8342,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
,France,46.2276,2.2137,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Nepal,28.3949,84.124,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Malaysia,4.2105,101.9758,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1,1
"Toronto, ON",Canada,43.6532,-79.3832,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
British Columbia,Canada,49.2827,-123.121,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Orange, CA",US,33.7879,-117.8531,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Los Angeles, CA",US,34.0522,-118.2437,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
New South Wales,Australia,-33.8688,151.2093,,,,,,,,,,,,,,,,,,,,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2
Victoria,Australia,-37.8136,144.9631,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Queensland,Australia,-27.4698,153.0251,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Cambodia,12.5657,104.991,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Sri Lanka,7.8731,80.7718,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1,1,1,1,1
,Germany,51.1657,10.4515,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Finland,61.9241,25.7482,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,United Arab Emirates,23.4241,53.8478,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Philippines,12.8797,121.774,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,India,20.5937,78.9629,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"London, ON",Canada,42.9849,-81.2453,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Italy,41.8719,12.5674,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,UK,55.3781,-3.436,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Russia,61.524,105.3188,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Sweden,60.1282,18.6435,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Santa Clara, CA",US,37.3541,-121.9552,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Spain,40.4637,-3.7492,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
South Australia,Australia,-34.9285,138.6007,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Boston, MA",US,42.3601,-71.0589,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"San Benito, CA",US,36.5761,-120.9876,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
,Belgium,50.5039,4.4699,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
"Madison, WI",US,43.0731,-89.4012,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
Diamond Princess cruise ship,Others,35.4437,129.638,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,0,0,0
\ No newline at end of file
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