Interactive Data Visualization with Python: Present your data as an effective and compelling story,2nd Edition
by: Abha Belorkar,Sharath Chandra Guntuku,Shubhangi Hora ,
Print Length 页数: 362 pages
Publisher finelybook 出版社: Packt Publishing (14 April 2020)
Language 语言: English
ISBN-10: 1800200943
ISBN-13: 9781800200944
Book Description
Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python
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.
What you will learn
Explore and apply different interactive data visualization techniques
Manipulate plotting parameters and styles to create appealing plots
Customize data visualization for different audiences
Design data visualizations using interactive libraries
Use Matplotlib,Seaborn,Altair and Bokeh for drawing appealing plots
Customize data visualization for different scenarios
Table of Contents
Preface
Chapter 1: Introduction to Visualization with Python-Basic and
Customized Plotting
Chapter 2: Static Visualization-Global Patterns and Summary
Statistics
Chapter 3: From Static to Interactive Visualization
Chapter 4: Interactive Visualization of Data across Strata
Chapter 5: Interactive Visualization of Data across Time
Chapter 6: Interactive Visualization of Geographical Data
Chapter 7: Avoiding Common Pitfalls to Create Interactive
Visualizations
Appendix
Index
