High Impact Python Streamlit: Beautiful Interactive Maps and Charts
Recently, I have been working hard on coding Python Streamlit for interactive data visualizations - so that you don’t have to.
Specifically, I have been looking at how to put together interactive Streamlit dashboards - with a combination of visualizations.
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My wife works for the UN Food and Agriculture Organization and is responsible for making global decisions related to food insecurity.
To better understand the work that UNFAO does around food insecurity, let’s take a look at a new dataset (to me). The UN food security dataset can be found HERE.
For the CSV file to download, we can choose all of the countries for all of the years available (2000–2022), along with 4 important indicators:
For this exercise, we are interested in creating a global choropleth map that displays the prevalence of food insecurity in the total population for each Year.
