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)

Choropleth Maps

A choropleth map is a map of a region with different divisions colored to indicate the value of a specific feature in that division. This division may be a country, state, district, or any other well-documented area.

For example, you can visualize country-wise populations using a world map, state-wise populations on a country map, or the percentage of a population with access to a certain technology with a choropleth map.

Although the term choropleth map may or may not be familiar to you, as you go through the chapter, the concept of choropleth maps will become clearer.

Let's start exploring the different types of choropleth maps.

Worldwide Choropleth Maps

In the first visualization of this chapter, we are going to use the internet usage statistics published on Our World in Data (https://ourworldindata.org/internet) and present the percentage of the population using the internet in each country from 1990 to 2017. The dataset is hosted on the book...