Skip to main content

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:

  • Webscrape IPEDS databases from NCES.
  • Search IPEDS databases efficiently.
  • Read .accdb tables into pd.DataFrame() format.
  • Convert numerical categorical variables into user-friendly text.

Get started

>>> from ipeds-wrangler import download_databases
>>> download_databases()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ipeds_wrangler-0.0.4.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ipeds_wrangler-0.0.4-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file ipeds_wrangler-0.0.4.tar.gz.

File metadata

  • Download URL: ipeds_wrangler-0.0.4.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for ipeds_wrangler-0.0.4.tar.gz
Algorithm Hash digest
SHA256 f908145bc395d76647bbc9b1a7222d24963c1e7b24a78f2ca262a71de5fa4b8a
MD5 693e1cf6afa5ddd1d95523f5291add82
BLAKE2b-256 18e35c6ea32ac72d8159122520bc1134d5c022b7a9b45ada31a0139984ee22a0

See more details on using hashes here.

File details

Details for the file ipeds_wrangler-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: ipeds_wrangler-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 4.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for ipeds_wrangler-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 2822c91ec3b71e197d31aa99e52f10f0b34beb6d1b3c5fb08c124f8198c78f32
MD5 843bc044e49c665b704b139ae246e53b
BLAKE2b-256 b3fd43e9f51b9d8bfae630981056ee301221cfef0ab7a4267a866f44c595b80a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page