Learn to create stunning and informative multilayer stacked geo maps using Plotly with Python in this 20-minute tutorial. Master the art of geospatial data visualization by combining multiple layers such as hexbin, scatter, and density into a single layout. Discover how to use Pandas GroupBy function, create various types of maps including density, hex, and choropleth, and integrate them with scatter plots. Follow along as the instructor demonstrates the creation of beautiful and insightful dashboards using real-world Walmart store location data. Gain practical skills in data manipulation, visualization techniques, and the use of Plotly library for creating interactive and visually appealing geo maps.
Beautiful and Informative Multilayer Stacked Geo Maps in Plotly With Python
Overview
Syllabus
- Tutorial Starts
- Final application Demo
- Tutorial Starts
- Pandas GroupBy function
- Plotly Bar Graph
- Horizontal Bar Graph
- Multi-field GroupBy Function
- Plotly library Import
- Creating Density Map
- Creating Multilayer Density Map
- Hex map with Density Map
- Hex map with Density and Scatter Map
- Map with 3 Geo Layers
- Choropleth Map for USA
- Choropleth Map with Scatterplot
- Colab Jupyter notebook to GitHub
Taught by
Prodramp
