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.
publication date
2020-04-14
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
key features
Study and use Python interactive libraries, such as Bokeh and Plotly * Explore different visualization principles and understand when to use which one * Create interactive data visualizations with real-world data
approach
This book takes a hands-on approach to the practical aspects of using the interactive libraries of Python to present data as compelling stories. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.
audience
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.
short description
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.
subtitle
Present your data as an effective and compelling story
keywords
Python, Data Visualization, Data Science, NumPy, Pandas, Matplotlib, Seaborn, Geoplotlib, Bokeh, Plotly
Product ISBN
9781800200944
