owid/covid-19-dataArchived
Covid 19 Data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Features
- COVID-19 Data Analysis - Tracks and analyzes global COVID-19 cases, deaths, hospitalizations, and tests with daily updated data.
- COVID-19 Data Repositories - An open-access collection of daily-updated COVID-19 data for all countries, curated by Our World in Data.
- COVID-19 Indicator Mergers - Provides a single consolidated CSV merging key COVID-19 indicators from multiple source tables.
- Daily-Updated Pipelines - Ships a daily-updated pipeline that appends new rows to curated CSV files on GitHub.
- Health Time-Series Datasets - A country-level time-series dataset tracking COVID-19 trends across cases, deaths, hospitalizations, and testing.
- COVID-19 Dataset Downloads - Downloads separate CSV files for specific COVID-19 categories like cases, deaths, and vaccinations.
- Hub Dataset Downloads - Downloads a single CSV file consolidating the most relevant COVID-19 indicators with accompanying metadata.
- Compact COVID-19 Dataset Downloads - Downloads a single CSV file consolidating the most relevant COVID-19 indicators with metadata.
- Flat-File Storage - Stores all data as plain CSV files in a public GitHub repository for direct download and version tracking.
- Relief Data Platforms - An open-access collection of daily-updated COVID-19 epidemiological data for all countries.
- Health Time-Series Repositories - A country-level time-series dataset tracking COVID-19 trends across cases, deaths, hospitalizations, and testing.
- COVID-19 Datasets - Provides structured, daily-updated COVID-19 datasets for studying pandemic trends and outcomes.
- COVID-19 Diagnosis - Queries the catalog for all available COVID-19 data tables by namespace and returns results for inspection.
- Schema-Normalizing Ingestion - Normalizes data from multiple upstream providers into a consistent schema before publishing.
- Data Integration Pipelines - Normalizes data from multiple upstream providers into a consistent schema before publishing unified tables.
- Multi-Source Data Integration - Combines COVID-19 data from multiple upstream sources into a single compact dataset with metadata.
- Interactive Time-Series Explorers - Provides daily updated time-series data for exploring COVID-19 trends across countries.
- COVID-19 Dataset Loaders - Loads a specific COVID-19 dataset into a DataFrame using a unique URI identifier.
- COVID-19 Table Search - Queries the catalog for available COVID-19 data tables by namespace and loads them for analysis.
- Consolidated CSV Distributions - Provides a regularly updated CSV distribution consolidating key COVID-19 metrics into a single downloadable file.
- COVID-19 URI Data Loaders - Fetches a specific COVID-19 dataset into a DataFrame using a unique resource identifier.
- COVID-19 Dashboards - Generates reports and visualizations from consolidated COVID-19 indicators for policy and media use.
- Epidemiological Data Archives - A structured archive of global COVID-19 indicators with consistent column metadata and versioned releases.
- Table Catalogs - Assigns unique namespaces and URIs to datasets for programmatic discovery and loading.
- Table Column Metadata Readers - Retrieves metadata attached to loaded tables or individual columns for context and documentation.
- Dataset - Provides column-level metadata describing indicator definitions, sources, and update frequency.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
