Our World In Data - COVID-19
COVID-19 Dataset by Our World in Data
@kaggle.caesarmario_our_world_in_data_covid19_dataset
COVID-19 Dataset by Our World in Data
@kaggle.caesarmario_our_world_in_data_covid19_dataset
The complete COVID-19 dataset is a collection of the COVID-19 data maintained and provided by Our World in Data. Our World in Data team will update it daily throughout the duration of the COVID-19 pandemic.
These are the following information that includes in the dataset:
| Metrics | Source | Updated | Countries |
| --- | --- |
| Vaccinations | Official data collated by the Our World in Data team | Daily | 218 |
| Tests & positivity | Official data collated by the Our World in Data team | Weekly | 139 |
| Hospital & ICU | Official data collated by the Our World in Data team | Weekly | 39 |
| Confirmed cases | JHU CSSE COVID-19 Data | Daily | 196 |
| Confirmed deaths | JHU CSSE COVID-19 Data | Daily | 196 |
| Reproduction rate | Arroyo-Marioli F, Bullano F, Kucinskas S, Rondón-Moreno C | Daily | 185 |
| Policy responses | Oxford COVID-19 Government Response Tracker | Daily | 186 |
| Other variables of interest | International organizations (UN, World Bank, OECD, IHME…) | Fixed |
Data dictionary is available below ⤵
I'd like to clarify that I'm only making data about vaccines collected by Our World in Data available to Kaggle community.
This dataset is gathered, integrated, and posted the new version on a daily basis, as maintained by Our World in Data on their GitHub repository.
📷 Images by Fusion Medical Animation.
CREATE TABLE owid_covid_data (
  "iso_code" VARCHAR,
  "continent" VARCHAR,
  "location" VARCHAR,
  "date" TIMESTAMP,
  "total_cases" DOUBLE,
  "new_cases" DOUBLE,
  "new_cases_smoothed" DOUBLE,
  "total_deaths" DOUBLE,
  "new_deaths" DOUBLE,
  "new_deaths_smoothed" DOUBLE,
  "total_cases_per_million" DOUBLE,
  "new_cases_per_million" DOUBLE,
  "new_cases_smoothed_per_million" DOUBLE,
  "total_deaths_per_million" DOUBLE,
  "new_deaths_per_million" DOUBLE,
  "new_deaths_smoothed_per_million" DOUBLE,
  "reproduction_rate" DOUBLE,
  "icu_patients" DOUBLE,
  "icu_patients_per_million" DOUBLE,
  "hosp_patients" DOUBLE,
  "hosp_patients_per_million" DOUBLE,
  "weekly_icu_admissions" DOUBLE,
  "weekly_icu_admissions_per_million" DOUBLE,
  "weekly_hosp_admissions" DOUBLE,
  "weekly_hosp_admissions_per_million" DOUBLE,
  "total_tests" DOUBLE,
  "new_tests" DOUBLE,
  "total_tests_per_thousand" DOUBLE,
  "new_tests_per_thousand" DOUBLE,
  "new_tests_smoothed" DOUBLE,
  "new_tests_smoothed_per_thousand" DOUBLE,
  "positive_rate" DOUBLE,
  "tests_per_case" DOUBLE,
  "tests_units" VARCHAR,
  "total_vaccinations" DOUBLE,
  "people_vaccinated" DOUBLE,
  "people_fully_vaccinated" DOUBLE,
  "total_boosters" DOUBLE,
  "new_vaccinations" DOUBLE,
  "new_vaccinations_smoothed" DOUBLE,
  "total_vaccinations_per_hundred" DOUBLE,
  "people_vaccinated_per_hundred" DOUBLE,
  "people_fully_vaccinated_per_hundred" DOUBLE,
  "total_boosters_per_hundred" DOUBLE,
  "new_vaccinations_smoothed_per_million" DOUBLE,
  "new_people_vaccinated_smoothed" DOUBLE,
  "new_people_vaccinated_smoothed_per_hundred" DOUBLE,
  "stringency_index" DOUBLE,
  "population_density" DOUBLE,
  "median_age" DOUBLE,
  "aged_65_older" DOUBLE,
  "aged_70_older" DOUBLE,
  "gdp_per_capita" DOUBLE,
  "extreme_poverty" DOUBLE,
  "cardiovasc_death_rate" DOUBLE,
  "diabetes_prevalence" DOUBLE,
  "female_smokers" DOUBLE,
  "male_smokers" DOUBLE,
  "handwashing_facilities" DOUBLE,
  "hospital_beds_per_thousand" DOUBLE,
  "life_expectancy" DOUBLE,
  "human_development_index" DOUBLE,
  "population" DOUBLE,
  "excess_mortality_cumulative_absolute" DOUBLE,
  "excess_mortality_cumulative" DOUBLE,
  "excess_mortality" DOUBLE,
  "excess_mortality_cumulative_per_million" DOUBLE
);Anyone who has the link will be able to view this.