Understanding Your Data: The Essentials of EDA

In today's data-driven world, understanding your data is crucial for making informed decisions. Exploratory Data Analysis (EDA) is a process used by data scientists and analysts to analyze and investigate data sets, revealing insights beyond formal modeling. EDA involves understanding the source, nature, and intricacies of each field/column in your data.

There are several types of EDA, including univariate non-graphical, multivariate non-graphical, and graphical methods. These techniques help identify patterns, spot anomalies, test hypotheses, and inform decisions. By using tools like Python and R, data scientists can unlock the full potential of their data and make better-informed decisions.

Source: https://dev.to/metwill/understanding-your-data-the-essentials-of-eda-1lh7