Python 3.x notebooks about real-world data cleaning and visualization
Jupyter Notebook Python
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Basic visualization concepts in Matplotlib.ipynb
Data-Extraction--CDE-API-fixed-width.ipynb
Data-Extraction--CDE-XLS.ipynb
Data-Extraction--NASA-Text.ipynb
Data-Extraction--Texas-Death-Row-Executions.ipynb
Data-Extraction--Texas-Death-Row-Inmates.ipynb
README.md
Visualization -- Learning to use pandas and DataFrames with matplotlib.ipynb
Visualization--All-About-Labeling.ipynb
Visualization--Multiples-Variety.ipynb
Visualization--Multiples-with-Standard-Subplots.ipynb
Visualization--School-Scores-and-Poverty.ipynb
Wrangling -- Intro to pandas.DataFrames.ipynb
Wrangling--Pandas-DataFrame-Concatenations-and-Rolling-Calculations.ipynb
Wrangling--Pivot-Tables-with-Pandas.ipynb

README.md

Python 3.x notebooks about real-world data cleaning and visualization

A set of iPython notebooks on data wrangling and visualization for Stanford Computational Journalism, using the standard lib as well as pandas and matplotlib.

(in progress)

Contents

Practicum

These notebooks are walkthroughs of common matplotlib and pandas techniques.

Data extraction

Recipes for extracting (but not cleaning/wrangling) machine-readable data from raw sources.

The results can be found in the extracted subdirectories in data.

Wrangling

Visualization

Resources

Matplotlib

Pandas