Highcharts Documentation| www.highcharts.com
So much of the data we deal with daily has a location-based element, whether it’s pinpointing where sales are happening, tracking environmental changes, or managing urban development projects. Geospatial data is critical in various industries, such as urban planning, environmental monitoring, and business analytics. However, this data is often complex and requires robust visualization tools| Highcharts Blog | Highcharts
A choropleth map is a data visualization technique that uses varying shades of color to represent data values across different geographical regions. This method effectively highlights patterns and differences in data, making it easier to understand complex datasets. Choropleth maps are especially useful in fields like demographics, public health, and economics for visualizing regional data| Highcharts Blog | Highcharts
Your Python code is “hands off” - it does not touch any data visualization configuration| maps-docs.highchartspython.com
Check out Highcharts demos and examples to learn how to create interactive charts with Highcharts core, Highcharts Stock, Highcharts Maps, Highcharts Gantt, and Highcharts Dashboards.| www.highcharts.com