As it is rightly called, it is used to explore the hidden trends, patterns in data.Ģ. Exploratory data analysis: This is used by data analysts, statisticians, and data scientists to better understand data. When data is complex and understanding the micro-details is essential, the best way is to analyze data through visuals.ġ. Let’s get started!ĭata visualization is a way you can create a story through your data. I have tried incorporating an example using Haberman’s Cancer Survival Data to show how visuals can help us find patterns in data that numbers fail to show. This is a comprehensive guide to cover the basics of visualization. “A picture speaks a thousand words.” Similarly an infographic/visual can help us analyze data and hidden patterns in a much easier way.
This article was published as a part of the Data Science Blogathon.
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