raw-data

Within this repository, we include a collection of data in “raw form” or “flat file format”. The goal is to be able to ingest this data into a statistical computing environment like R or Python.

CSV

• Salaries.csv from the carData R package. (Details)
• pima.csv from the faraway R package. (Details)
• gap-every-five-years.csv from gapminder
• xbox-7-day-auctions.csv from modelingonlineauctions.com/.
• 1976-2020-senate.csv
• surreal-residual.csv based on Residual (Sur)Realism by Leonard A Stefanski (2012)
• vehicles.csv from the fueleconomy R package.
• common.csv from the fueleconomy R package.
• flights.csv from the nycflights13 R package. (Details)
• ucla-binary-enrollment.csv from UCLA’s OARC
• tips.csv from seaborn’s data repository
• ramen-ratings-cleaned.csv from Kaggle’s residentmario/ramen-ratings (with minimal cleaning applied).
• diamonds.csv from ggplot2’s data-raw directory

Text

• subject_heights_tab.txt
• subject_heights.txt

SQL

• northwind-dump.sql from jpwhite3/northwind-SQLite3. (EER Diagram)

• lahman2016.sqlite from jknecht/baseball-archive-sqlite (Details)

• lahman2019.sqlite from WebucatorTraining/lahman-baseball-mysql (Details, EER Diagram)

Excel

• subject_heights.xlsx built to showcase multiple sheets inside of a single workbook.

HTML

• webpage_sample.html

Parquet

• 2010-flights-summary.parquet.zip