![]() ![]() The geopandas, json and bokeh imports are libraries needed for the mapping. Pandas, numpy and math are standard Python libraries used to clean and wrangle the data. Let’s start with the installs and imports you will need for the graphs. Using Python and BokehĪfter exploring several different approaches, I found the combination of Python and Bokeh to be the most straightforward and well-documented method for creating interactive maps. ![]() A test version of the Colab code skipping the data cleaning and wrangling steps can be found here. The final Colab code for running on the Bokeh server can be found here. A Word About the CodeĪll the code, data and associated files for the project can be accessed at my GitHub. If you’d like to understand how to develop your own interactive map follow along as I step you through the process. The chart breaks down the single family home sales by Median Sales Price, Minimum Income Required, Average Sales Price, Average Sales Price Per Square Foot, Average Square Footage and Number of Sales all by neighborhood and year (10 years of data). The interactive chart below provides details on San Francisco single family homes sales. ![]() Static Choropleth maps are useful for showing one view of data, but an interactive Choropleth map is much more powerful and allows the user to select the data they prefer to view. A Choropleth map represents statistical data through various shading patterns or symbols on predetermined geographic areas such as countries, states or counties. If you are looking for a powerful way to visualize geographic data then you should learn to use interactive Choropleth maps. ![]()
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January 2023
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