# fonnesbeck/statistical-analysis-python-tutorial

Statistical Data Analysis in Python

Repository: https://github.com/fonnesbeck/statistical-analysis-python-tutorial
Canonical: https://ross.abutalabs.com/products/statistical-analysis-python-tutorial
Language: HTML
License Family: other
Archived: true
Last push: 2015-09-02T18:58:43+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4830, "days_push": 4018, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1738, forks 958 (observed 2026-08-28T04:05:30.004044+00:00)

## What it is
A set of IPython notebook materials from a SciPy 2013 tutorial by Christopher Fonnesbeck teaching statistical data analysis in Python. It covers Pandas data manipulation, plotting with Pandas and Matplotlib, and statistical modeling with NumPy, SciPy, and Pandas.

## Use cases
- learn pandas for data analysis
- tutorial on statistical analysis in python
- learn data wrangling with pandas dataframes
- learn plotting and visualization with matplotlib
- learn to fit data to probability distributions
- introduction to bootstrapping methods in python
- hands-on notebooks for cleaning and transforming datasets

## When to choose
- you are a new Python user wanting an end-to-end introduction to data analysis with Pandas
- you prefer hands-on notebook materials with sample datasets
- you want a free self-paced course covering wrangling, visualization, and modeling

## When to avoid
- you need up-to-date Pandas/Matplotlib APIs, since the material dates from 2013
- you want a maintained library or tool rather than tutorial content
- you need advanced or modern Bayesian workflows beyond the brief modeling introduction

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: data-science, data-visualization, nlp
- domain: data-science, tutorials, education
- platform: python, cross-platform
- tags: pandas, statistics, ipython-notebooks, scipy, matplotlib, bayesian, tutorial-materials

## Member repositories
- fonnesbeck/statistical-analysis-python-tutorial (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.004044+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:30:36.247906+00:00, confidence not recorded.
  - readme: https://github.com/fonnesbeck/statistical-analysis-python-tutorial (fetched 2026-08-28T04:05:30.004044+00:00, sha c48cdc1cae5b)
- Data as of 2026-08-30T08:39:29.467469+00:00.