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Using Python and Pandas to download and analyze data on US federal acquisition rulemaking from FederalRegister.gov

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FR-Data-Analysis

Python script to analyze data on federal acquisition rulemaking from FederalRegister.gov

Created on Wed Apr 29 18:05:21 2020

@author: CatsAndProcurement

The purpose of the script is to download a user-defined dataset via the Federal Register (FR) web API, then aggregate and display the data using Pandas. Documentation is intended to guide a new Python/Pandas user through the process of writing similar scripts in a clear, simple, step-by-step way.

The FR is the official daily journal of the US government; it notifies the public of proposed and final changes to federal government regulations, among other matters.

A web application program interface (API) allows access to FR datasets.

Here's a sample FR web API call: https://www.federalregister.gov/documents/search?format=csv&conditions%5Bpublication_date%5D%5Bgte%5D=1%2F1%2F2017&conditions%5Bpublication_date%5D%5Blte%5D=12%2F31%2F2019&conditions%5Bterm%5D=%22Federal+Acquisition+Regulation%22&conditions%5Btype%5D%5B%5D=RULE&conditions%5Btype%5D%5B%5D=PRORULE&conditions%5Btype%5D%5B%5D=NOTICE

Nothing in this script is reviewed or endorsed by GPO, the rule-issuing agencies, or the U.S. government. None of the data that the script might extract is verified by the author; neither raw data nor conclusions drawn from the data should be interpreted as authoritative.

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Using Python and Pandas to download and analyze data on US federal acquisition rulemaking from FederalRegister.gov

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