Python Data Visualization: An Easy Introduction to Data Visualization in Python with Matplotlip, Pandas, and Seaborn

Data Visualization is the presentation of data in graphical format.In this tutorial for beginners, you will learn how to present data graphically with Python, Matplotlib, and Seaborn. If you need a short book to master data vizualisation from scratch, this guide is for you.

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Book Objectives

This book is an exploration of data visualization in Python programming language. Here are the objectives of the book:

• To help you understand the need for data visualization and appreciate its power in data analysis.
• To help you learn the various types of plots that you can create to visualize your data.
• To help you know the various tools that you can use for data visualization, including basic, specialized and advanced tools.
• To help you make the right decision in choosing the tool and the kind of plot to use to visualize your data.
• To help you learn the power of Python in data visualization.
• To equip you with data visualization skills in Python programming language.
• To help you learn the various Python libraries that you can use for data visualization.

Who this Book is for?

The author targets the following groups of people:

• Anyone who needs to know the need for data visualization in an organization.
• Any individual who needs to know the various tools they can use for data visualization.
• Any individual who needs to know the various types of graphics they can use to represent their data and how to interpret the graphics.
• Anybody who needs to learn data visualization in Python using various libraries such as Pandas, Matplotlib, Seaborn and Folium.
• Anyone who needs to learn how to visualize different types of data including textual, numerical and geospatial data.

Requirements

The author expects you to have a computer installed with an operating system such as Linux, Windows or Mac OS X.

What is inside the book?

• BASICS OF DATA VISUALIZATION
• BASIC AND SPECIALIZED DATA VISUALIZATION TOOLS
• ADVANCED VISUALIZATIONS TOOLSEXPLORING THE LIBRARIES
• DATA VISUALIZATION WITH MATPLOTLIBDATA VISUALIZATION WITH PANDAS
• DATA VISUALIZATION WITH SEABORN
• CREATING MAPS AND VISUALIZING GEOSPATIAL DATA

The author has discussed everything related to data visualization. You are first familiarized with the fundamentals of data visualization to help you know what it is and why it is of importance to any organization. The author has then discussed the various types of tools that can be used for data visualization. These tools include the basic, specialized and advanced ones. Practically, the author focuses on how to visualize data in the Python programming language. The process of plotting different types of data using different types of plots has been discussed. You will learn how to plot textual, numerical and geospatial data in Python using different libraries such as Pandas, Matplotlib, Seaborn and Folium. Python codes have been provided alongside images of the expected outputs and the corresponding code descriptions.