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Key elements of the visualization process
9. Polish
Environment - the R Language


The final part of creating a chart is polishing it. Polishing a chart means adjusting its colors, fonts, and other graphical elements. The goal is to grab potential readers' attention and effectively present your data. Since chart color and font depend on individual taste (and on company rules), we will focus mainly on clearly presenting the data.

There are some simple and effective rules that significantly improve chart quality. We'll divide these rules into four categories:

  • Achieve chart accuracy - avoiding mistakes that incorrectly present your data.
  • Design your chart - creating a visually appealing chart that lets data stand out.
  • Highlight your story - making sure the point of the data is clear.
  • Describe your chart - adding informative titles, legends, and other things that explain what your chart is about.

Each category will be marked with a different color throughout the whole course.

While building and finalizing a chart, you should always try to follow all four rules. After visualizing your data with the right chart type, check whether it is:

  • Correct;
  • Informative;
  • Engaging;
  • Effective;

The above rules will help you. Then you can be sure your graph properly represents your data and the story you are trying to tell.

In this course, the 'Work with your chart' section will help you polish your chart. Whenever we introduce a new rule or use a known rule, we will always tell you which category it applies to.