This older post – Charting map of Nepal using geojson discussed how the datasets can be plotted over the map charts.
Geojson data can help us plot datasets, location marks, boundaries and interactive tooltips but Mapping skewed datasets with geojson data into map charts can provide more intuitive insights by visually emphasizing the variations within the data especially when your mapchart is supposed to reflect the distribution or concentration of data points to allows users / viewers to easily identify patterns, trends, and outliers.
In my experience, this approach mainly helps in highlighting disparities (such as regional variations, population densities, economic activities or resource distributions). Also it makes comparison easier and enhances storytelling – but who cares about a context to a tool (and that too probably generated by ChatGPT) – so lets skip and directly look at the tool and the result itself.
Here we will be using, the Nepal’s Census Data of 2021 as a dataframe to plot our map charts. Link to the file here.
For geojson data we will use the same geojson data discussed used in our previous post. Link to the old post here: Charting map of Nepal using geojson.
Click here for the Google Colab link for playing around with the codes and custom data.
States skewed by population size
Geographies skewed by population size
Districts skewed by population size
