Visualizing the South Sudan 2008 Census by State, Gender, and Age Category with Plotnine

[tongakuot]

Authors

Alier Reng

Links

https://github.com/tongakuot/dataviz-plotnine/blob/main/barplots.ipynb

Full description

In this comprehensive tutorial, I will demonstrate how to visualize the South Sudan 2008 Census data using the plotnine library in Python. This tutorial will guide you through the following steps:

1. Creating Bar Graphs: Learn how to plot basic bar graphs to represent the census data effectively.
2. Using Facet Grid: Discover the facet_grid functionality in plotnine to create multiple subplots, allowing for a more granular and insightful view of the data across different states, genders, and age categories.
3. Customizing Plots: Hone your skills in customizing bar graphs by adjusting aesthetics, themes, labels, and other graphical parameters to make your visualizations more informative and visually appealing.

By the end of this tutorial, you will have a solid understanding of how to use plotnine for data visualization, particularly in the context of categorical data analysis. This tutorial is designed for both beginners and intermediate users of plotnine who are looking to enhance their data visualization skills.

Code repository

https://github.com/tongakuot/dataviz-plotnine/blob/main/barplots.ipynb

[has2k1]

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[has2k1]

@tongakuot, The winning submission has been announced here. Thank you for taking part in the contest.

[tongakuot]

Great, thank you! This was an exciting exercise. Much appreciated.