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.
0 of 1 Questions completed
You have already completed the quiz before. Hence you can not start it again.
Quiz is loading…
You must sign in or sign up to start the quiz.
You must first complete the following:
0 of 1 Questions answered correctly
Time has elapsed
You have reached 0 of 0 point(s), (0)
Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)
What visual elements could you eliminate? What other changes would you make to what is shown or how it’s shown to reduce cognitive burden?
Please work with the downloaded file and submit your improved chart through an image file or included in a Word document.
Upload your answer to this question.
This response will be awarded full points automatically, but it will be reviewed and possibly adjusted after submission.