Book Image

The Data Visualization Workshop

By : Mario Döbler, Tim Großmann
Book Image

The Data Visualization Workshop

By: Mario Döbler, Tim Großmann

Overview of this book

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.
Table of Contents (9 chapters)
7. Combining What We Have Learned

2. All You Need to Know about Plots

Activity 2.01: Employee Skill Comparison


  1. Bar charts and radar charts are great for comparing multiple variables for multiple groups.
  2. Suggested response: The bar chart is great for comparing the skill attributes of the different employees, but it is not the best choice when it comes to getting an overall impression of an employee, due to the fact that the skills are not displayed directly next to one another.

    The radar chart is great for this scenario because you can both compare performance across employees and directly observe the individual performance for each skill attribute.

  3. Suggested response:

    For both the bar and radar charts, adding a title and labels would help to understand the plots better. Additionally, using different colors for the different employees in the radar chart would help to keep the different employees apart.

Activity 2.02: Road Accidents Occurring over Two Decades


  1. Suggested...