Data
ECDC-daily-data-on-COVID19-geographic-distribution

ECDC-daily-data-on-COVID19-geographic-distribution

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Data on the geographic distribution of COVID-19 cases worldwide. The dataset includes the reported number of diagnosed cases and deaths each day in every country in the world. The main fields include date, number of reported cases, number of reported deaths, country. The csv file is a direct transformation of the original xls provided by the European Centre for Disease Prevention and Control. ECMC is the provider of the data, the dataset is posted here to increase visibility and allow easier access to the Kaggle community.

10 features

dateRepstring100 unique values
0 missing
daynumeric31 unique values
0 missing
monthnumeric5 unique values
0 missing
yearnumeric2 unique values
0 missing
casesnumeric728 unique values
0 missing
deathsnumeric222 unique values
0 missing
countriesAndTerritoriesstring204 unique values
0 missing
geoIdstring203 unique values
25 missing
countryterritoryCodestring199 unique values
189 missing
popData2018numeric199 unique values
143 missing

19 properties

9513
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
357
Number of missing values in the dataset.
232
Number of instances with at least one value missing.
6
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
60
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
2.44
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.38
Percentage of missing values.

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