Exploratory Data Analysis – Playing with the Data

Exploratory data analysis (EDA) is perhaps the most important step in data science/analysis, as it often determines the success or failure of an analytical project. Used properly, the EDA tool can save hours of useless research and facilitate unique discoveries that are beyond known correlations and projected results.

In this Knowledge Sharing article, Shreegowri M B examines EDA, what it is, differences between EDA and classical data analysis, some basic EDA techniques and how it is used in Big Data Analytics. Also discussed are methods for EDA and how those techniques are used to summarize the data to discover insights from the data sets.

Read full article here.