DATA visualization 

Data visualisation enhances user experience
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. 
Whereas data in text form can be really confusing (not to mention bland), data represented in a visual format helps people extract meaning from that data much more quickly and easily. You can expose patterns, trends, and correlations that may otherwise go undetected.
Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real-time information and advanced analytics solutions are an expensive waste of money if you can’t communicate the results clearly and effectively to the people whose job it is to put them to work.
Examples: Seaborn librairies 
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