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Data Visualization with Python
Data Visualization with Python

Data Visualization with Python: Create an impact with meaningful data insights using interactive and engaging visuals

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Profile Icon Erik Sevre
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$158.39 $175.99
eBook May 2019 173 pages 1st Edition
eBook
$158.39 $175.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Erik Sevre
Arrow right icon
$158.39 $175.99
eBook May 2019 173 pages 1st Edition
eBook
$158.39 $175.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$158.39 $175.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Uses real data to explain key visualization tools and techniques
  • Explains industry standard plotting libraries, such as Matplotlib and Seaborn
  • Takes a hands-on approach and explains concepts with real-world examples

Description

You'll begin with an introduction to data visualization and its importance. Then, you'll learn about statistics by computing mean, median, and variance for some numbers, and observing the difference in their values. You'll also learn about key NumPy and Pandas techniques, such as indexing, slicing, iterating, filtering, and grouping. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization using this comparison. You'll explore different plots, including custom creations. After you get a hang of the various visualization libraries, you'll learn to work with Matplotlib and Seaborn to simplify the process of creating visualizations. You'll also be introduced to advanced visualization techniques, such as 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 and insightful visualizations. You'll study how to plot geospatial data on a map using Choropleth plot, and study the basics of Bokeh, extending plots by adding widgets and animating the display of information.

Who is this book 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.

What you will learn

  • Understand and use various plot types with Python
  • Explore and work with different plotting libraries
  • Understand and create effective visualizations
  • Improve your Python data wrangling skills
  • Work with industry-standard tools like Matplotlib, Seaborn, and Bokeh
  • Understand different data formats and representations

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 24, 2019
Length: 173 pages
Edition : 1st
Language : English
ISBN-13 : 9781838557133
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Product Details

Publication date : May 24, 2019
Length: 173 pages
Edition : 1st
Language : English
ISBN-13 : 9781838557133
Category :
Languages :
Tools :

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