A frequent source of clutter in data visualization comes from unnecessary graph elements: borders, gridlines, data markers, and the like. These can make our visuals appear overly complicated and increase the work our audience has to undertake in order to understand what they are viewing. As we eliminate the things that don’t need to be there, our data stands out more.

Let’s take a closer look at the benefit that decluttering can have on our data visualizations through an exercise.

Please download the Excel file from the material section above. The data and its chart chow time to close deals, measured in days, for direct and indirect sales teams over time.