Contributions to the #30DayMapChallenge hosted each year by Topi Tjukanov.
Used this challenge to learn more about how to make maps (I had no clue whatsoever) and to use different tools to do so.
I had never made a map before and wanted to use this challenge to understand the basic concepts. Familiarised myself with QGIS, an amazing open source software to do advanced geospatial analysis and visualisations. And used Datawrapper for some of the other maps. I summarised my learnings in this blog.
For the second time participating in the challenge I wanted to create a minimum of 10 maps and only use python to do so. I use python in all my other data analysis projects and wanted to push myself a bit to also use it for geospatial analysis. I have to say, it's been tough and quite a steep learning curve, but I'm proud of some of the maps I created and I learnt a lot! I discovered new libraries and some great data sources. While you can do a lot with python I sometimes felt it would be so much easier using R which has a lot more inbuilt functions and libraries to pull data and display it nicely. Some of my creations below and the code for each is available in the 2022 folder.
