01-30-2020

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Big Local News snapshots this data once a day from The Johns Hopkins University Center for Systems Science and Engineering. These are daily reports which provide cases, deaths and recovered for all global locations as wells as United States counties. There is one CSV file for each day's report. The entire set of CSV files are refreshed daily. The zipped archives contain previous daily reports and are date stamped when they were uplaoded by Big Local News. Please cite Johns Hopkins University as described in the README.

Data source: Big Local News · About: README

58 rows

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Suggested facets: Country/Region, Deaths, Recovered

Link rowid ▼ Province/State Country/Region Last Update Confirmed Deaths Recovered
1 1 Hubei Mainland China 1/30/20 16:00 4903 162 90.0
2 2 Zhejiang Mainland China 1/30/20 16:00 428   4.0
3 3 Guangdong Mainland China 1/30/20 16:00 354   10.0
4 4 Henan Mainland China 1/30/20 16:00 278 2 2.0
5 5 Hunan Mainland China 1/30/20 16:00 277   2.0
6 6 Anhui Mainland China 1/30/20 16:00 200   2.0
7 7 Chongqing Mainland China 1/30/20 16:00 182   1.0
8 8 Jiangxi Mainland China 1/30/20 16:00 162   5.0
9 9 Shandong Mainland China 1/30/20 16:00 158   1.0
10 10 Sichuan Mainland China 1/30/20 16:00 142 1 1.0
11 11 Jiangsu Mainland China 1/30/20 16:00 129   1.0
12 12 Beijing Mainland China 1/30/20 16:00 114 1 4.0
13 13 Shanghai Mainland China 1/30/20 16:00 112 1 5.0
14 14 Fujian Mainland China 1/30/20 16:00 101    
15 15 Guangxi Mainland China 1/30/20 16:00 78   2.0
16 16 Yunnan Mainland China 1/30/20 16:00 70    
17 17 Hebei Mainland China 1/30/20 16:00 65 1  
18 18 Shaanxi Mainland China 1/30/20 16:00 63    
19 19 Hainan Mainland China 1/30/20 16:00 46 1 1.0
20 20 Heilongjiang Mainland China 1/30/20 16:00 44 2  
21 21 Liaoning Mainland China 1/30/20 16:00 41   1.0
22 22 Shanxi Mainland China 1/30/20 16:00 35   1.0
23 23 Tianjin Mainland China 1/30/20 16:00 31    
24 24 Gansu Mainland China 1/30/20 16:00 26    
25 25 Inner Mongolia Mainland China 1/30/20 16:00 19    
26 26 Ningxia Mainland China 1/30/20 16:00 17    
27 27 Jilin Mainland China 1/30/20 16:00 14   1.0
28 28 Xinjiang Mainland China 1/30/20 16:00 14    
29 29 Guizhou Mainland China 1/30/20 16:00 12   1.0
30 30 Hong Kong Hong Kong 1/30/20 16:00 10    
31 31 Taiwan Taiwan 1/30/20 16:00 9    
32 32 Qinghai Mainland China 1/30/20 16:00 8    
33 33 Macau Macau 1/30/20 16:00 7    
34 34 Tibet Mainland China 1/30/20 16:00 1    
35 35 Washington US 1/30/20 16:00 1    
36 36 Illinois US 1/30/20 16:00 1    
37 37 California US 1/30/20 16:00 2    
38 38 Arizona US 1/30/20 16:00 1    
39 39   Japan 1/30/20 16:00 11   1.0
40 40   Thailand 1/30/20 16:00 14 0 7.0
41 41   South Korea 1/30/20 16:00 4    
42 42   Singapore 1/30/20 16:00 10    
43 43   Vietnam 1/30/20 16:00 2    
44 44   France 1/30/20 16:00 5    
45 45   Nepal 1/30/20 16:00 1    
46 46   Malaysia 1/30/20 16:00 8    
47 47 Ontario Canada 1/30/20 16:00 2    
48 48 British Columbia Canada 1/30/20 16:00 1    
49 49   Cambodia 1/30/20 16:00 1    
50 50   Sri Lanka 1/30/20 16:00 1    
51 51 New South Wales Australia 1/30/20 16:00 4   2.0
52 52 Victoria Australia 1/30/20 16:00 2    
53 53 Queensland Australia 1/30/20 16:00 3    
54 54 Bavaria Germany 1/30/20 16:00 4    
55 55   Finland 1/30/20 16:00 1    
56 56   United Arab Emirates 1/30/20 16:00 4    
57 57   Philippines 1/30/20 16:00 1    
58 58   India 1/30/20 16:00 1    

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CREATE TABLE [01-30-2020] (
   [Province/State] TEXT,
   [Country/Region] TEXT,
   [Last Update] TEXT,
   [Confirmed] INTEGER,
   [Deaths] INTEGER,
   [Recovered] FLOAT
);