Data Visualization Best-Practices For Location Map
A location map is an efficient way of representing a geographical distribution of performance. There is one bubble per item (Customer in this example, but it could be provider, warehouse…) and the size of the bubble is defined by the actual value of the analyzed KPI (Revenue in this example).
Data visualization best-practices
- Display a geo-localized bubble for each item (customer in this example)
- Define the size of the bubble by the actual performance of this KPI for this item
- Beside the bubble, display the item name (Customer name here)
- Provide additional details on performance with a mouse-over
- Use color coding of the bubble to express
- Either the performance of this KPI versus the reference (Budget, Forecast, Previous Year…)
- Or the actual sign of the performance (in some cases, you might have a KPI for which the value is negative: you could then represent positive values in green and negative in red, the actual size of the bubble being thus defined by the absolute value of the KPI performance)
- The map must be drillable
- In addition to the map, present a table with de detailed figures. This will reinforce the overall legibility of the visualization.
- Allow the user to dynamically select the KPI he wants to analyze (for instance moving from a Revenue analysis to a Gross Margin analysis)