#Choropleth Maps

Learn to create interactive data visualizations by connecting Plotly graphs with Dash components. Master various chart types and enhance user interaction in your Python-based dashboards.

Learn to create multi-layer stacked geo maps in Plotly with Python, combining hexbin, scatter, and density layers for beautiful and informative geospatial data visualizations and dashboards.

Learn to create interactive maps using PyScript and Folium. Build choropleth visualizations for Indonesia and US unemployment data, then deploy your project on GitHub Pages.

Explore spatial data analysis with SpatialDependence.jl. Create spatial weights matrices, calculate lags, test autocorrelation, and plot choropleth maps using polygon and point geometries.