Sometimes, we don't know how valuable data is until we look at it. In this chapter, we will look into a JavaScript-based web visualization framework called D3 (Data-Driven Documents) to create visualizations that make complex information easier to understand. We will cover the following topics:
What is visualization?
The visualization lifecycle
Visualizing different types of data
Data from social networks
An overview of visualization analytics
Exploratory Data Analysis (EDA), as mentioned in Chapter 2, Preprocessing Data, is a critical part of the data analysis process because it helps us to detect mistakes, determinate relationships, and tendencies, identify outliers, trends, and patterns, or check assumptions. In this chapter, we will present some examples of visualization methods for EDA with discrete and continuous data.
The four types of EDA are univariate nongraphical, multivariate nongraphical, univariate graphical, and multivariate graphical...