The following diagram explains when different chart types can be used. Do you want to compare value sizes? | Does your data have long labels? | | Do you want to show rankings? | | Do you need to look at continuous values/ trends over time? | | | Do you need to look at correlation (or lack of) between data sets? | | Do you want to view proportions? | Is the data multi-dimensional? | Is proportion more important? | | | | | Are absolute values more important? | | | Is the data single dimensional? | | | Is the data hierarchical? | | Are you looking at multiple performance measures? | | | | Are you looking at a single value? | Is the range where the value falls important? | | Is only the current value important? | | | Is the data geographical? | Is the precise location important? | | Is loose clustering more important? | | Are the exact values important? | | Are you looking at completion stages? | | Do you want to view data in a progressive order? | | Do you want to know what the most important characteristics are? (separate module is required) | |
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