Interactive Data Visualization with Python
Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python, and most importantly, helps you make your storytelling more intuitive and persuasive.
Offered by
Difficulty Level
Intermediate
Completion Time
12h4m
Language
English
About Book
Who Is This Book For?
This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.
Interactive Data Visualization with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h4m total length
Introduction to Visualization with Python-Basic and Customized Plotting
Static Visualization - Global Patterns and Summary Statistics
From Static to Dynamic Visualization
Interactive Visualization of Data across Strata
Interactive Visualization of Data across Time
Interactive Visualization of Data across Geographical Regions
Avoiding Common Pitfalls to Create Interactive Visualization
Related Resources
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