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Visualization in Seaborn for Data Science: Create plots using single line of code in Python
This guide is for anyone interested in learning about Seaborn ( a visualization library in Python)
I believe in learning the subject hands-on, so all the topics discussed will be immediately followed by examples, which allow you to understand the expected output.
I will assume that you at least have a beginner-level knowledge of Python and have it installed in your system.
I have designed the book so that each chapter corresponds to a specific concept so that even an absolute beginners in Seaborn can follow.
By the end of the book, you will have a proper understanding of how to create the Seaborn plots which are frequently used in the data science industry and confidently use the new skill in your day-to-day coding activities.
In case you are unfamiliar with coding in Python, please study “A Beginner’s Guide to Python for Data Science” first so that you are up to speed when it comes to Python and can follow this book.
Topics 1: Introduction to Visualization
Chapter 2: Visualizing Line Charts
Chapter 3: Visualizing Scatter Plots
Chapter 4: Visualizing Bar Charts
Chapter 5: Visualizing Box plots
Chapter 6: Visualizing Heatmaps
Chapter 7: Visualizing Boxen or Letter Value Plots
Chapter 8: Data Analysis using FacetGrid
I believe in learning the subject hands-on, so all the topics discussed will be immediately followed by examples, which allow you to understand the expected output.
I will assume that you at least have a beginner-level knowledge of Python and have it installed in your system.
I have designed the book so that each chapter corresponds to a specific concept so that even an absolute beginners in Seaborn can follow.
By the end of the book, you will have a proper understanding of how to create the Seaborn plots which are frequently used in the data science industry and confidently use the new skill in your day-to-day coding activities.
In case you are unfamiliar with coding in Python, please study “A Beginner’s Guide to Python for Data Science” first so that you are up to speed when it comes to Python and can follow this book.
Topics 1: Introduction to Visualization
Chapter 2: Visualizing Line Charts
Chapter 3: Visualizing Scatter Plots
Chapter 4: Visualizing Bar Charts
Chapter 5: Visualizing Box plots
Chapter 6: Visualizing Heatmaps
Chapter 7: Visualizing Boxen or Letter Value Plots
Chapter 8: Data Analysis using FacetGrid
100 pages, Kindle Edition
Published December 3, 2022
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