Practical Data Analysis Cookbook

Chapter 2. Exploring the Data

In this chapter, we will cover various techniques that will allow you to understand your data better and explore relationships between features. You will learn the following recipes:

• Producing descriptive statistics
• Exploring correlations between features
• Visualizing interactions between features
• Producing histograms
• Creating multivariate charts
• Sampling the data
• Splitting the dataset into training, cross-validation, and testing

Introduction

In the following recipes, we will use Python and D3.js to build our understanding of the data. We will analyze the distributions of all the variables, investigate the correlations between features, and visualize the interactions between them. You will learn how to generate histograms and ...