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Vast archive of social science data. Can use with statistical software, such as SAS, SPSS, & Stata. Thematic categories include census data, community & urban studies, conflict, aggression, economic behavior, education, leadership, geography, health care, legal systems, mass political behavior, and organizational behavior.
Interactive database of statistics that enables users to create tables, maps, and figures from a variety data sources covering banking, criminal justice, education, energy, food and agriculture, government, health, housing and construction, industry and commerce, labor and employment, natural resources and environment, income, cost of living, stocks, transportation, and more. Data holdings for the United States are significant with some data available at state, county, or local geographies. International data, available at the country level, include population, food and agriculture, labor, trade, and more. Data are organized by subject and source.
Federal government data on numerous topics including geography, environment, education, transportation, population, national security, agriculture, energy, and more. Provides descriptions of the Federal datasets (metadata), information about how to access the datasets, and tools that leverage government datasets.
An extensive array of data by the National Center for Education Statistics (NCES), the primary federal entity for collecting and analyzing data related to education in the U.S. and other nations. In addition to the Data Tools, explore the menu to find additional resources, including IPEDS. Coverage varies.
When you find awesome data elsewhere, try to find its original source. Github or Kaggle might be where you find it, but it might have been manipulated before it was posted there. Follow the trail back to get to the source, the most raw form of the data, and where the documentation from the data gatherer might be located!
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.