Discover the Power of Exploratory Data Analysis (EDA)!

In today's data-driven world, understanding and analyzing complex data sets is crucial for making informed decisions. EDA is a powerful tool that helps data scientists uncover patterns, identify anomalies, test hypotheses, and verify assumptions by exploring data in various ways. This process ensures that the results produced are valid and relevant to any desired goals.

With EDA, you can:

* Examine variables and interactions
* Identify outliers and unusual occurrences
* Discover correlations between variables
* Test statistical methods for suitability

There are three primary approaches to EDA: univariate, bivariate, and multivariate. Each approach has graphical and statistical aspects, such as histograms, scatter plots, and confidence intervals.

Source: https://dev.to/mutlyn/understanding-your-data-the-essentials-of-exploratory-data-analysis-3ee6