liveBook · Manning

Benford library

As explained in Statistics Every Programmer Needs

The benford library is a Python library for analyzing whether numerical data follows Benford's law.

The benford library analyzes whether numerical data follows Benford’s law by comparing observed leading-digit frequencies with an expected distribution. section 12.4.1

Street-address analysis

For East Baton Rouge Parish street addresses, the library returns counts and percentages for digits 1 through 9 alongside expected percentages, plus a comparison chart. Digits 1, 2, and 3 lead 60.4% of addresses, close to the 60.2% expected under Benford’s law. section 12.4.1

How Statistics Every Programmer Needs covers it

How deep it goes
Demonstrates data cleansing, integer conversion, library invocation, tabular output, and visualization without developing statistical theory.
Examples
Uses East Baton Rouge Parish street addresses, including extracted, filtered, and converted leading-digit data.
What it assumes
Assumes a tabular dataset and basic Python data-wrangling operations for extracting, filtering, and converting values.
What you can do after
Apply it via Python to produce leading-digit counts, percentages, expected values, and a comparison chart.
How it connects
Connects Benford’s law with leading digits, pandas data frames, and Python data wrangling.
Cover of Statistics Every Programmer Needs
liveBookmanning.com
Read Statistics Every Programmer Needs on liveBook Get the book at manning.com

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Statistics Every Programmer Needs. The section links point to the parts of the book it draws on.