Data
COVID-19-Stats-and-Mobility-Trends

COVID-19-Stats-and-Mobility-Trends

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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COVID-19 Stats Trends Context This dataset seeks to provide insights into what has changed due to policies aimed at combating COVID-19 and evaluate the changes in community activities and its relation to reduced confirmed cases of COVID-19. The reports chart movement trends, compared to an expected baseline, over time (from 2020/02/15 to 2020/02/05) by geography (across 133 countries), as well as some other stats about the country that might help explain the evolution of the disease. Content Grocery Pharmacy: Mobility trends for places like grocery markets, food warehouses, farmers' markets, specialty food shops, drug stores, and pharmacies. Parks: Mobility trends for places like national parks, public beaches, marinas, dog parks, plazas, and public gardens. Residential: Mobility trends for places of residence. Retail Recreation: Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters. Transit stations: Mobility trends for places like public transport hubs such as subway, bus, and train stations. Workplaces: Mobility trends for places of work. Total Cases: Total number of people infected with the SARS-CoV-2. Fatalities: Total number of deaths caused by CoV-19. Government Response Stringency Index: Additive score of nine indicators of government response to CoV-19: School closures, workplace closures, cancellation of public events, public information campaigns, stay at home policies, restrictions on internal movement, international travel controls, testing policy, and contact tracing. COVID-19 Testing: Total number of tests performed. Total Vaccinations: Total number of shots given. Total People Vaccinated: Total number of people given a shot. Total People Fully Vaccinated: Total number of people fully vaccinated (might require two shots of some vaccines). Population: Total number of inhabitants. Population Density per km2: Number of human inhabitants per square kilometer. Health System Index: Overall performance of the health system. Human Development Index (HDI): Summary index based on life expectancy at birth, expected years of schooling for children and mean years of schooling for adults, and GNI per capita. GDP (PPP) per capita: Gross Domestic Product (GDP) per capita based on Purchasing Power Parity (PPP), taking into account the relative cost of local goods, services and inflation rates of the country, rather than using international market exchange rates, which may distort the real differences in per capita income. Elderly Population (percentage): Percentage of the population above the age of 65 years old. References Acknowledgements Bing COVID-19 data. Available at: https://github.com/microsoft/Bing-COVID-19-Data COVID-19 Community Mobility Report. Available at: https://www.google.com/covid19/mobility/ COVID-19: Government Response Stringency Index. Available at: https://ourworldindata.org/grapher/covid-stringency-index Coronavirus (COVID-19) Testing. Available at: https://github.com/owid/covid-19-data/blob/master/public/data/testing/covid-testing-all-observations.csv Coronavirus (COVID-19) Vaccination. Available at: https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/vaccinations/vaccinations.csv List of countries and dependencies by population. Available at: https://www.kaggle.com/tanuprabhu/population-by-country-2020 List of countries and dependencies by population density. Available at: https://www.kaggle.com/tanuprabhu/population-by-country-2020 List of countries by Human Development Index. Available at: http://hdr.undp.org/en/data Measuring Overall Health System Performance. Available at: https://www.who.int/healthinfo/paper30.pdf?ua=1 List of countries by GDP (PPP) per capita. Available at: https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD List of countries by age structure (65+). Available at: https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS Authors Diogo Silva, up201706892fe.up.pt

22 features

isostring132 unique values
403 missing
countrystring133 unique values
0 missing
datestring403 unique values
0 missing
grocery_and_pharmacy_percent_change_from_baselinenumeric207 unique values
1015 missing
parks_percent_change_from_baselinenumeric448 unique values
1200 missing
residential_percent_change_from_baselinenumeric77 unique values
1305 missing
retail_and_recreation_percent_change_from_baselinenumeric166 unique values
972 missing
transit_stations_percent_change_from_baselinenumeric177 unique values
843 missing
workplaces_percent_change_from_baselinenumeric147 unique values
155 missing
confirmed_casesnumeric33364 unique values
0 missing
confirmed_deathsnumeric12211 unique values
0 missing
gov_response_stringency_indexnumeric172 unique values
2723 missing
total_testsnumeric18810 unique values
34364 missing
total_vaccinationsnumeric3948 unique values
49283 missing
people_vaccinatednumeric3556 unique values
49697 missing
people_fully_vaccinatednumeric2351 unique values
50917 missing
gdp_ppp_per_capitanumeric127 unique values
2368 missing
populationnumeric132 unique values
403 missing
population_densitynumeric105 unique values
403 missing
human_development_indexnumeric110 unique values
1587 missing
pop_age_above_65_percentagenumeric122 unique values
1562 missing
health_indexnumeric113 unique values
2726 missing

19 properties

53377
Number of instances (rows) of the dataset.
22
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
201926
Number of missing values in the dataset.
51882
Number of instances with at least one value missing.
19
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
86.36
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.
97.2
Percentage of instances having missing values.
Average class difference between consecutive instances.
17.2
Percentage of missing values.

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