Data scientists are often expected to effectively communicate their insights to non-data professionals; customers, executives, co-workers or the general public. This audience doesn’t want to see the analysis, they just want to understand the learnings from the data.
Good DataViz Design means going beyond the chart default settings and designing custom visualizations that reveal insights and tell stories to your audience. Data visualizations are used in presentations, reports, websites, infographics and more. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you should customize the design to make sure your audience quickly and easily understands your message. You need your own toolbox of applications and websites to create different visualizations and charts, and all of your dataviz designs will benefit from these core principles of good dataviz design:
• Focus on a Key Message
• Visually tell your story step-by-step
• Take advantage of the Picture Superiority Effect
• Use Pre-Attentive Attributes to lead your audience’s focus
• Build your credibility with data transparency