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A package for wrangling IPEDS data

Project description

ipeds-wrangler

What it does

The United States National Center for Education Statistics (NCES) maintains the Integrated Postsecondary Education Data System (IPEDS). Each year, IPEDS collects data from approximately 6,000 institutions, representing more than 15 million students. These data can enable many institutional research projects, such as: benchmarking against peer institutions, tracking enrollment trends, and analyzing graduation rates. However, IPEDS data can be challenging to wrangle into actionable insights - especially for Python users.

This package is new, but ipeds-wrangler will enable Python users to:

  • Web scrape IPEDS databases and convert key tables to CSV files with download_ipeds_databases().
  • Search IPEDS databases efficiently with search_ipeds_databases().
  • Gather data for benchmarking against peer institutions with wrangle_ipeds_benchmarking_data().
  • Convert numerical categorical variables into user-friendly text with convert_ipeds_data() - coming soon!

Get started

Install the package:

pip install ipeds-wrangler

Download IPEDS databases:

from ipeds_wrangler import download_ipeds_databases

# Download the most recent 5 years of IPEDS databases to your Desktop
download_ipeds_databases()

# Or specify a custom directory name
download_ipeds_databases(download_directory="my_ipeds_data")

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