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Python for Data Visualization
Learn how to build compelling data analyses and visualizations by leveraging the best open-source Python libraries. With this practical guide, you'll explore topics from the tools best used to create custom, complex figures for journal publishing to the best quick-and-dirty way to generate web analytics dashboards with D3 and Python.
In the process, you'll learn the steps necessary to get the data in the right form to be visualized, from importing to cleaning to reshaping--whether you're working with CSV or databases. Each chapter begins with a single dataset, and gradually tells the story of each data dimension as you perform exploratory, interactive visualization. The result could be an IPython notebook, a map, or an interactive web page, with data topics ranging from political analysis to business intelligence.
By the end of this book, you'll have a complete data visualization tool belt for applying the right visualization to any problem domain, using all of the data structures native to Python.
In the process, you'll learn the steps necessary to get the data in the right form to be visualized, from importing to cleaning to reshaping--whether you're working with CSV or databases. Each chapter begins with a single dataset, and gradually tells the story of each data dimension as you perform exploratory, interactive visualization. The result could be an IPython notebook, a map, or an interactive web page, with data topics ranging from political analysis to business intelligence.
By the end of this book, you'll have a complete data visualization tool belt for applying the right visualization to any problem domain, using all of the data structures native to Python.
300 pages, Paperback
First published March 25, 2016
9 people want to read
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