Datasets for Coding and Statistics Practice

• 2/8/2023

Datasets Built into R Packages

• Starwars: https://github.com/tidyverse/dplyr/blob/main/data-raw/starwars.csv
• Cars: https://github.com/tidyverse/ggplot2/blob/main/data-raw/mpg.csv
• Diamonds: https://github.com/tidyverse/ggplot2/blob/main/data-raw/diamonds.csv
• Geocodes: https://github.com/tidyverse/ggplot2/blob/main/data-raw/seals.csv
• Economics: https://github.com/tidyverse/ggplot2/blob/main/data-raw/economics.csv
• Midwest towns: https://github.com/tidyverse/ggplot2/blob/main/data-raw/midwest.csv
• Housing info: https://github.com/tidyverse/ggplot2/blob/main/data-raw/tx-housing.csv
• US Presidents: https://github.com/tidyverse/ggplot2/blob/main/data-raw/presidential.csv

UCI Machine Learning Repository

• Index: https://archive.ics.uci.edu/ml/index.php
• Flowers: https://archive.ics.uci.edu/ml/datasets/Iris
• Dry Beans: https://archive.ics.uci.edu/ml/datasets/Dry+Bean+Dataset
• Wine: https://archive.ics.uci.edu/ml/datasets/Wine

U.S. Federal Datasets

• NOAA Storm Events Database: https://www.ncdc.noaa.gov/stormevents/
• Bureau of Labor Statistics: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

OpenIntro Datasets

• Index: https://www.openintro.org/data/

Published Research Datasets

• SAGE: https://methods.sagepub.com/datasets/discipline