Data Visualization with Python: Your guide to understanding your data

Tim Großmann, Mario Döbler



Understand, explore, and effectively present data using the powerful data visualization techniques of Python.

Key Features

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

Book Description

With so much data being continuously generated, developers with a knowledge of data analytics and data visualization are always in demand. Data Visualization with Python, shows you how to use Python with NumPy, Pandas, Matplotlib, and Seaborn to create impactful data visualizations with real world, public data.

You'll begin the course with an introduction to data visualization and its importance. Then, you'll learn about statistics by computing mean, median, and variance for the some numbers, and observing the difference in their values. You'll also learn about Numpy and Pandas, such as indexing, slicing, iterating, filtering, and grouping. Next, 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, such as relation plots, distribution plots, and geo plots. Then, you'll move on to create custom plots with a dataset by choosing an appropriate library. 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, extend plots by adding widgets, and animate the information and the plot.

The course will complete with one last activity in which you will be given a new dataset, and you'll apply everything you've learned to create insightful visualizations.

What you will learn

  • Understand and use various plots
  • Explore and work with different plotting libraries 
  • Understand and create effective visualizations 
  • Improve your Python data wrangling skills
  • Work with industry standard tools
  • Understand different data formats and representations

Who This Book Is 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 high school level mathematics. Even though this is a beginner level course on data visualization, experienced developers will benefit from improving their Python skills working with real world data.




- 使用真實數據解釋可視化概念
- 解釋行業標準的繪圖庫,如Matplotlib和Seaborn
- 以實際案例進行實踐,解釋概念






- 理解並使用各種圖表
- 探索並使用不同的繪圖庫
- 理解並創建有效的可視化
- 提升Python數據處理技能
- 使用行業標準工具
- 理解不同的數據格式和表示形式