Mario Döbler - The Data Visualization Workshop: A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop
Key Features- Discover the essential tools and methods of data visualization
- Learn to use standard Python plotting libraries such as Matplotlib and Seaborn
- Gain insights into the visualization techniques of big companies
Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?
The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.
Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, youll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. Youll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If youve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, youll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.
By the end of this workshop, youll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.
What you will learn- Understand the importance of data visualization in data science
- Implement NumPy and pandas operations on real-life datasets
- Create captivating data visualizations using plotting libraries
- Use advanced techniques to plot geospatial data on a map
- Integrate interactive visualizations to a webpage
- Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib
The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.
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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A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
Mario Dbler and Tim Gromann
Copyright 2020 Packt Publishing
All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this course to ensure the accuracy of the information presented. However, the information contained in this course is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this course.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this course by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
Authors: Mario Dbler and Tim Gromann
Reviewers: Rohan Chikorde, Joshua Grner, Anshu Kumar, Piotr Malak, Ashish Pratik Patil, Narinder Kaur Saini, and Ankit Verma
Managing Editor: Aditya Shah
Acquisitions Editors: Manuraj Nair, Royluis Rodrigues, Kunal Sawant, Sneha Shinde, Anindya Sil, and Karan Wadekar
Production Editor: Roshan Kawale
Editorial Board: Megan Carlisle, Samuel Christa, Mahesh Dhyani, Heather Gopsill, Manasa Kumar, Alex Mazonowicz, Monesh Mirpuri, Bridget Neale, Dominic Pereira, Shiny Poojary, Abhishek Rane, Brendan Rodrigues, Erol Staveley, Ankita Thakur, Nitesh Thakur, and Jonathan Wray
First published: July 2020
Production reference: 1270720
ISBN: 978-1-80056-884-6
Published by Packt Publishing Ltd.
Livery Place, 35 Livery Street
Birmingham B3 2PB, UK
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