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The Data Visualization Workshop
The Data Visualization Workshop

The Data Visualization Workshop: A self-paced, practical approach to transforming your complex data into compelling, captivating graphics

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Profile Icon Mario Döbler Profile Icon Tim Großmann
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€8.99 €29.99
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (1 Ratings)
eBook Jul 2020 536 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Mario Döbler Profile Icon Tim Großmann
Arrow right icon
€8.99 €29.99
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (1 Ratings)
eBook Jul 2020 536 pages 1st Edition
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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The Data Visualization Workshop

2. All You Need to Know about Plots

Overview

This chapter will teach you the fundamentals of the various types of plots such as line charts, bar charts, bubble plots, radar charts, and so on. For each plot type that we discuss, we will also describe best practices and use cases. The activities presented in this chapter will enable you to apply the knowledge gained. By the end of this chapter, you will be equipped with the important skill of identifying the best plot type for a given dataset and scenario.

Introduction

In the previous chapter, we learned how to work with new datasets and get familiar with their data and structure. We also got hands-on experience of how to analyze and transform them using different data wrangling techniques such as filtering, sorting, and reshaping. All of these techniques will come in handy when working with further real-world datasets in the coming activities.

In this chapter, we will focus on various visualizations and identify which visualization is best for showing certain information for a given dataset. We will describe every visualization in detail and give practical examples, such as comparing different stocks over time or comparing the ratings for different movies. Starting with comparison plots, which are great for comparing multiple variables over time, we will look at their types (such as line charts, bar charts, and radar charts).

We will then move onto relation plots, which are handy for showing relationships among variables. We will...

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Key benefits

  • 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

Description

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, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve 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, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.

Who is this book for?

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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 28, 2020
Length: 536 pages
Edition : 1st
Language : English
ISBN-13 : 9781800568112
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Product Details

Publication date : Jul 28, 2020
Length: 536 pages
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ISBN-13 : 9781800568112
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Tools :

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Frequently bought together


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The Data Wrangling Workshop
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The Data Analysis Workshop
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The Data Visualization Workshop
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Table of Contents

7 Chapters
1. The Importance of Data Visualization and Data Exploration Chevron down icon Chevron up icon
2. All You Need to Know about Plots Chevron down icon Chevron up icon
3. A Deep Dive into Matplotlib Chevron down icon Chevron up icon
4. Simplifying Visualizations Using Seaborn Chevron down icon Chevron up icon
5. Plotting Geospatial Data Chevron down icon Chevron up icon
6. Making Things Interactive with Bokeh Chevron down icon Chevron up icon
7. Combining What We Have Learned Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(1 Ratings)
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4 star 100%
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1 star 0%
Aishwarya Srinivasan Oct 28, 2020
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I am a Data Scientist, and as much as modeling is important, data visualization is very crucial too. It is very important to communicate a story through the data. I have been working with various open source visualization tools, and mostly find myself looking at the documentation to understand the use. After giving a read to "The Data Visualization Workshop by Mario and Tim, I have got a sense of instantaneously knowing which plot with be the best to choose for a particular type of data. This book is an excellent resource to have if you are a Data Scientist and want to leverage the power of data visualization at work.
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