Book Image

Interactive Data Visualization with Python - Second Edition

By : Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar
Book Image

Interactive Data Visualization with Python - Second Edition

By: Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar

Overview of this book

With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.
Table of Contents (9 chapters)

Introduction

As we discussed in the previous chapters, data visualizations are graphical representations of information and data. Their purpose is to extract values from multiples rows and columns of numbers and data that are otherwise difficult to comprehend and represent them in graphically appealing plots. As a result, data visualizations can provide key insights regarding data at a glance. This is something that raw data, and even analyzed data in tabular form, is unable to do.

We discussed static data visualizations in the previous chapter – graphs and plots that are stagnant and cannot be modified or interacted with in real time by the audience.

Interactive data visualizations are a step ahead of static ones. Let's take a look at the term interactive to understand how. The definition of interactive is something that involves communication between two or more things or people that work together. Therefore, interactive visualizations are graphical representations...