Share '10 Visualizations Every Data Scientist Should Know'
This article is by Jorge Castañón, Ph.D., Senior Data Scientist at the IBM Machine Learning Hub.
Data visualization plays two key roles:
1. Communicating results clearly to a general audience.
2. Organizing a view of data that suggests a new hypothesis or a next step in a project.
It’s no surprise that most people prefer visuals to large tables of numbers. That’s why clearly labeled plots with me…
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