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2024 plotnine contest

This repository contains code for my entry in the 2024 Plotnine Contest.

area chart of carbon emissions

Data

The data is available from github.com/rfordatascience/tidytuesday/blob/master/data/2024/2024-05-21/readme.md. The original data can be downloaded from carbonmajors.org/Downloads. The Carbon Majors dataset is available for download and for non-commercial use, subject to InfluenceMap's Terms and Conditions. The version used in this plot was downloaded in May 2024.

Code

The code to reproduce the figure can be found in plot.py, and the source code for a more detailed tutorial can be found in the index.qmd file which is deployed at nrennie.github.io/2024-plotnine-contest. This site is deployed with GitHub Actions, demonstrating that the plot is fully reproducible.

This entry for the plotnine contest was inspired by a visualisation I previously created using {ggplot2} in R for #TidyTuesday. You can see the original R version at github.com/nrennie/tidytuesday/tree/main/2024/2024-05-21.

Fonts

This plot uses "Arial" font. The code checks if 'Arial' is available on your operating system, and if it is not will use the default sans font instead. Alternatively, you change the variable body_font to the name of a font that you do have installed.