OpenML
Data-on-COVID-19-(coronavirus)

Data-on-COVID-19-(coronavirus)

active ARFF Attribution 4.0 International (CC BY 4.0) Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Coronavirus Country Profiles We built 207 country profiles which allow you to explore the statistics on the coronavirus pandemic for every country in the world. In a fast-evolving pandemic it is not a simple matter to identify the countries that are most successful in making progress against it. Excess mortality and the rate of the confirmed deaths is what we focus on in the sections below, but for a fuller assessment a wider perspective is useful. For this purpose we track the impact of the pandemic across our publication and we built country profiles for 207 countries to study the statistics on the coronavirus pandemic for every country in the world in depth. Each profile includes interactive visualizations, explanations of the presented metrics, and the details on the sources of the data. Every country profile is updated daily.

66 features

iso_code (ignore)string238 unique values
0 missing
continentstring6 unique values
10190 missing
locationstring238 unique values
0 missing
datestring813 unique values
0 missing
total_casesnumeric92471 unique values
3249 missing
new_casesnumeric22468 unique values
3421 missing
new_cases_smoothednumeric40939 unique values
5421 missing
total_deathsnumeric36428 unique values
21241 missing
new_deathsnumeric4517 unique values
21217 missing
new_deaths_smoothednumeric10653 unique values
23347 missing
total_cases_per_millionnumeric124811 unique values
4025 missing
new_cases_per_millionnumeric68589 unique values
4197 missing
new_cases_smoothed_per_millionnumeric78557 unique values
6191 missing
total_deaths_per_millionnumeric80348 unique values
22004 missing
new_deaths_per_millionnumeric9471 unique values
21980 missing
new_deaths_smoothed_per_millionnumeric11000 unique values
24104 missing
reproduction_ratenumeric385 unique values
41593 missing
icu_patientsnumeric3761 unique values
146801 missing
icu_patients_per_millionnumeric10780 unique values
146801 missing
hosp_patientsnumeric7837 unique values
145466 missing
hosp_patients_per_millionnumeric17981 unique values
145466 missing
weekly_icu_admissionsnumeric1559 unique values
165033 missing
weekly_icu_admissions_per_millionnumeric3258 unique values
165033 missing
weekly_hosp_admissionsnumeric5781 unique values
159428 missing
weekly_hosp_admissions_per_millionnumeric9373 unique values
159428 missing
total_testsnumeric69846 unique values
99835 missing
new_testsnumeric37219 unique values
102088 missing
total_tests_per_thousandnumeric64404 unique values
99835 missing
new_tests_per_thousandnumeric11901 unique values
102088 missing
new_tests_smoothednumeric41777 unique values
84082 missing
new_tests_smoothed_per_thousandnumeric12296 unique values
84082 missing
positive_ratenumeric4908 unique values
90264 missing
tests_per_casenumeric6208 unique values
90837 missing
tests_unitsstring4 unique values
81604 missing
total_vaccinationsnumeric45802 unique values
123956 missing
people_vaccinatednumeric43182 unique values
126249 missing
people_fully_vaccinatednumeric40218 unique values
128922 missing
total_boostersnumeric15271 unique values
151364 missing
new_vaccinationsnumeric31338 unique values
132053 missing
new_vaccinations_smoothednumeric44223 unique values
82321 missing
total_vaccinations_per_hundrednumeric17925 unique values
123956 missing
people_vaccinated_per_hundrednumeric9095 unique values
126249 missing
people_fully_vaccinated_per_hundrednumeric8756 unique values
128922 missing
total_boosters_per_hundrednumeric4923 unique values
151364 missing
new_vaccinations_smoothed_per_millionnumeric12376 unique values
82321 missing
new_people_vaccinated_smoothednumeric34573 unique values
83191 missing
new_people_vaccinated_smoothed_per_hundrednumeric1414 unique values
83191 missing
stringency_indexnumeric179 unique values
37147 missing
populationnumeric236 unique values
1093 missing
population_densitynumeric208 unique values
18968 missing
median_agenumeric136 unique values
29393 missing
aged_65_oldernumeric188 unique values
30923 missing
aged_70_oldernumeric186 unique values
30150 missing
gdp_per_capitanumeric195 unique values
28626 missing
extreme_povertynumeric76 unique values
77186 missing
cardiovasc_death_ratenumeric190 unique values
30464 missing
diabetes_prevalencenumeric147 unique values
23051 missing
female_smokersnumeric112 unique values
61911 missing
male_smokersnumeric127 unique values
63402 missing
handwashing_facilitiesnumeric96 unique values
100365 missing
hospital_beds_per_thousandnumeric101 unique values
43858 missing
life_expectancynumeric208 unique values
11321 missing
human_development_indexnumeric154 unique values
30989 missing
excess_mortality_cumulative_absolutenumeric5734 unique values
164759 missing
excess_mortality_cumulativenumeric3107 unique values
164759 missing
excess_mortalitynumeric3842 unique values
164759 missing
excess_mortality_cumulative_per_millionnumeric5864 unique values
164759 missing

19 properties

170646
Number of instances (rows) of the dataset.
66
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
5082293
Number of missing values in the dataset.
170646
Number of instances with at least one value missing.
62
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
93.94
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.
100
Percentage of instances having missing values.
Average class difference between consecutive instances.
45.13
Percentage of missing values.

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