Exploratory Data Analysis with Python Cookbook

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Performing Automated Exploratory Data Analysis in Python

Sometimes, while analyzing large amounts of data, we may need to gain insights from the data very quickly. The insights typically gained could then form the basis for a detailed and in-depth analysis. Automated Exploratory Data Analysis (EDA) helps us to achieve this easily. Automated EDA automatically analyzes and visualizes data to extract trends, patterns, and insights with just a few lines of code. Automated EDA libraries typically carry out the cleaning, visualization, and statistical analysis of data in a quick and efficient way. These tasks would be difficult or time-consuming if they were performed manually.

Automated EDA is especially useful when dealing with complex or high-dimensional ...