Answer: The roles editorial thinking plays in data visualization is to make the data( which has been breaking down to a visaul point) answer the questions of the audience, using a particular angle and frame, that can be understandable by the audience.
This Editorial thinking is very important in data visualization because it is the design workflow( that is the way a data has to approach a question, it will answer, so as to make the audience get the same answer from one data ) of the data. Without Editorial thinking, all the work been done to extract a data to a visual form, would be a waste, because it may not be able to answer correctly the questions of the audience. Without Editorial thinking, the audience to the data may have a different view of the data, which may lead to wrong communication of such data.
Explanation:
Data visualization is the act of making a data (information) visual and readable by it's audience. Data visualization tends to creat picture of the information in your mind so as to have a story of the data. While editorial thinking helps to make this picture been created in your mind to be the same with the one been created in the mind of the writer.
IN SUMMARY DATA VISUALIZATION HELPS THE HUMAN BRAIN TO BE ABLE TO TRANSFORM INFORMATION TO THE MIND, WHILE EDITORAIL THINKING HELP TO MAKE THIS INFORMATION, THE SAME WITH THE INTENTION OF THE WRITER( The one that owns the information)
