Data Analysis Guide

What it does

The book begins with Univariate analysis of the variables followed by a bivariate analysis to study the correlations and ultimately aims to fit a multiple linear regression model. In the end, you compare models using various techniques to find the best model.

This book takes a project-based approach for Data Analysis using the following steps:1. Univariate analysis – exploring the descriptive statistics of variables using methods of summarization and visualization.2. Bivariate analysis – to find associations between two variables and measure the significance of such associations.2.1 Simple Linear regression along with regression diagnostics3. Multivari

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