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

In the previous chapters, you learned how to build interactive visualizations to present different features in a dataset across features that represent different strata and different time points. In this chapter, you are going to add another type of visualization to your skillset – plotting interactive visualizations with geographical data.

Most datasets generated in today's world involve some features depicting spatial or geographical aspects. For example, users of social media platforms are characterized by the different parts of the world they reside in, world development metrics are calculated for different countries in the world, transportation routes span many different locations across the globe, and so on. Therefore, it is essential to learn systematic ways to understand and present such information in a digestible yet insightful manner. This chapter will help you develop this ability by providing the necessary tools to generate a variety of plots...