Interactive Data Visualization with Python: Present your data as an effective

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Book Title
Interactive Data Visualization with Python: Present your data as
Publication Date
2020-04-14
Edition Number
2
ISBN
9781800200944
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1800200943
ISBN-13
9781800200944
eBay Product ID (ePID)
15050404132

Product Key Features

Number of Pages
362 Pages
Publication Name
Interactive Data Visualization with Python : Present Your Data As an Effective and Compelling Story, 2nd Edition
Language
English
Publication Year
2020
Subject
Programming Languages / General, Data Visualization, Programming Languages / Python
Type
Textbook
Subject Area
Computers
Author
Sharath Chandra Guntuku, Anshu Kumar, Abha Belorkar, Shubhangi Hora
Format
Trade Paperback

Dimensions

Item Length
3.6 in
Item Width
3 in

Additional Product Features

Edition Number
2
Intended Audience
Trade
Table Of Content
Table of Contents Introduction to Visualization with Python-Basic and Customized Plotting Static Visualization - Global Patterns and Summary Statistics From Static to Dynamic Visualization Interactive Visualization of Data across Strata Interactive Visualization of Data across Time Interactive Visualization of Data across Geographical Regions Avoiding Common Pitfalls to Create Interactive Visualization
Synopsis
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., Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python 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 Book Description 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. 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 Who this book is for 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.

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