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Data Visualization with Python : Create an Impact with Meaningful Data Insights Using Interactive and Engaging Visuals by Mario Döbler; Tim Großmann is a nonfiction available to read on EtoBox.
What is Data Visualization with Python : Create an Impact with Meaningful Data Insights Using Interactive and Engaging Visuals about?
Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming.Key FeaturesStudy key visualization tools and techniques with real-world dataExplore industry-standard plotting libraries, including Matplotlib and SeabornBreathe life into your visuals with exciting widgets and animations using BokehBook DescriptionData 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 i
Who reads Data Visualization with Python : Create an Impact with Meaningful Data Insights Using Interactive and Engaging Visuals?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mario Döbler; Tim Großmann
- Publisher
- Packt Publishing Limited
- Published
- 2019
- Language
- EN
- ISBN
- 9781789951196
- Category
- nonfiction
- Subjects
- Science, Language Learning, Computer Science
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