A collection of dummy / public datasets for apps to use.
- atherosclerosis.db: Atherosclerosis is a longitudinal 20 years lasting primary preventive study of middle-aged men. CTU
- card_transactions.csv: 10,000 rows of fake card transaction data. Generated by Straive.
- craftbeer.db: Craft beers labeled by styles and composition. A separate dataset lists breweries by state. Kaggle
- data_scientist_jobstreet_scraped_v2.csv: from Data Scientist Job Dataset
- ehr.csv: 28 rows of electronic health records of patient demographics, co-morbidities, adherence, and clinical notes. Useful to explore preference for injectables vs pills. Generated by Straive.
- employee_data.csv: 2,000 rows of fake employee data generated by employee_data.py
- got_book1.csv: from game_of_thrones_dataset
- nba.db: A database with information about basketball matches from the National Basketball Association. Lists Players, Teams, and matches with action counts for each player. CTU
- manufacturing_instrumentation.csv: 2,000 rows of synthetic manufacturing instrumentation logs generated by manufacturing_instrumentation.py
- retail_transactions: 5,000 rows of fake online retail transactions across marketplaces with review, marketing spend, analytics and other sales-related data. Generated by Straive.
- supply_chain.csv: 10,000 rows of fake supply chain data. Generated by Straive.
- tourists.csv: 100 rows of supply chain data from a Fashion and Beauty startup chain of makeup products. Kaggle
- world.db: A database of 239 states and their cities. CTU
- heart_disease_cleveland.csv: A dataset of 303 patients with heart disease. Kaggle
- winequality-red.csv: A dataset of 1599 red wines with 11 features. Kaggle
- student-mat.csv: Predict student performance in secondary education (high school). archive
- pharma-trails.xlsx : Comprehensive pharmaceutical trial dataset containing patient demographics, clinician details, drug information, prescriptions, lab results, and adverse event records. Generated by Straive
- server_logs.zip : 37,000 rows of synthetic Apache server logs, compressed to under 1 MB (zipped).
This repo hosts:
- Fake data. (Real data is usually in own sensible repo.)
- Medium-sized data. (GitHub isn't ideal for large data. Small data is too trivial to host.)
- Data used by multiple apps. (Single-app datasets should be in the app's repo.)