Python Data Visualization: An Easy Introduction to Data Visualization in Python with Matplotlip, Pandas, and Seaborn

by Samuel Burns

Data Visualization is the presentation of data in graphical format.In this tutorial for beginners, you will learn how to present data graphically with Python, Matplotlib, and Seaborn. If you need a short book to master data vizualisation from scratch, this guide is for you. This book is an exploration of data visualization in Python programming language. Here are the objectives of the The author targets the following groups of The author expects you to have a computer installed with an operating system such as Linux, Windows or Mac OS X. The author has discussed everything related to data visualization. You are first familiarized with the fundamentals of data visualization to help you know what it is and why it is of importance to any organization. The author has then discussed the various types of tools that can be used for data visualization. These tools include the basic, specialized and advanced ones. Practically, the author focuses on how to visualize data in the Python programming language. The process of plotting different types of data using different types of plots has been discussed. You will learn how to plot textual, numerical and geospatial data in Python using different libraries such as Pandas, Matplotlib, Seaborn and Folium. Python codes have been provided alongside images of the expected outputs and the corresponding code descriptions.

180 pages, Paperback

Published October 22, 2019

Reviews

[Jonathan Darsey · Rating 4 out of 5]

Good reference for visualization using 3 standard packages in python

Good overview of many different features of each of the three python visualization packages that it covers (pandas, numpy, and seaborne)—very easy to follow examples, unlike the read me for these packages

[Manya · Rating 5 out of 5]

Good


Good book for beginners and experienced. . . . . . . . . . . . . . . . . . . .