Share Data Through the Art of Visualization

Visualization is important in world of innovation as stated in anonymous quote: “ If you can imagine it and you visualize it, you can create it.” In addition, approximately 65% of the (world) population are visual learners (Inc., 2017). In context of data analytics, Google helps analysts in laying the framework of theoretical & practical knowledge in a course, Share Data Through the Art of Visualization.

Part 1: Communicating Data Insights

One part of many aspects of a data analysis is a story telling. In communicating the data insights, we have to organize our thoughts first. Two frameworks that might help us to do this are The McCandless Method and Kaiser Fung’s Junk Charts Trifecta Checkup.

A. The McCandless Method
This method is commonly used in data visualization practice which explains a good data visualization has four elements, they are:
1. Information: a data
2. Story: a clear narrative
3. Goal: an objective of the visual
4. Visual form: a metaphor or visual expression
You can read more about the method, here.

B. Kaiser Fung’s Junk Charts Trifecta Checkup
It describes that a good data visualization has three checkup questions:
1. What is the practical question?
2. What does the data say?
3. What does the visual say?