Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming.
Key Features
Study key visualization tools and techniques with real-world data
Explore industry-standard plotting libraries, including Matplotlib and Seaborn
Breathe life into your visuals with exciting widgets and animations using Bokeh
Book Description
Data Visualization with Python reviews the spectrum of data visualization and its importance. Designed for beginners, it’ll help you learn about statistics by computing mean, median, and variance for certain numbers.
In the first few chapters, you’ll be able to take a quick tour of key NumPy and Pandas techniques, which include indexing, slicing, iterating, filtering, and grouping. The book keeps pace with your learning needs, introducing you to various visualization libraries. As you work through chapters on Matplotlib and Seaborn, you’ll discover how to create visualizations in an easier way. After a lesson on these concepts, you can then brush up on advanced visualization techniques like geoplots and interactive plots.
You'll learn how to make sense of geospatial data, create interactive visualizations that can be integrated into any webpage, and take any dataset to build beautiful visualizations. What’s more? You'll study how to plot geospatial data on a map using Choropleth plot and understand the basics of Bokeh, extending plots by adding widgets and animating the display of information.
By the end of this book, you’ll be able to put your learning into practice with an engaging activity, where you can work with a new dataset to create an insightful capstone visualization.
What you will learn
Understand and use various plot types with Python
Explore and work with different plotting libraries
Learn to create effective visualizations
Improve your Python data wrangling skills
Hone your skill set by using tools like Matplotlib, Seaborn, and Bokeh
Reinforce your knowledge of various data formats and representations
Who this book is for
Data Visualization with Python is designed for developers and scientists, who want to get into data science or want to use data visualizations to enrich their personal and professional projects. You do not need any prior experience in data analytics and visualization, however, it'll help you to have some knowledge of Python and familiarity with high school level mathematics. Even though this is a beginner level course on data visualization, experienced developers will be able to improve their Python skills by working with real-world data.
Table of Contents
The Importance of Data Visualization and Data Exploration
All You Need to Know about Plots
A Deep Dive into Matplotlib
Simplifying Visualizations Using Seaborn
Plotting Geospatial Data
Making Things Interactive with Bokeh
Combining What We Have Learned
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