Döbler Mario, Großman Tim. The Data Visualization Workshop: An interactive approach to learning data visualization

2nd Edition. — Packt Publishing, 2020. — 454 p. — ISBN: 978-1-83898-148-8.Cut through the noise and get real results with a step-by-step approach to learning data visualization with PythonYou already know you want to learn data visualization with Python, and a smarter way to learn is to learn by doing. The Data Visualization Workshop focuses on building up your practical skills so that you can develop clear, expressive real-world charts and diagrams. You’ll learn from real examples that lead to real results.Throughout The Data Visualization Workshop, you’ll take an engaging step-by-step approach to understand data visualization with Python. You won’t have to sit through any unnecessary theory. If you’re short on time you can jump into a single exercise each day or spend an entire weekend learning how companies like Uber are using advanced visualization techniques to represent their data visually. It’s your choice. Learning on your terms, you’ll build up and reinforce key skills in a way that feels rewarding.Every physical print copy of The Data Visualization Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you’ll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You’ll even earn a secure credential that you can share and verify online upon completion. It’s a premium learning experience that’s included with your printed copy. To redeem, follow the instructions located at the start of your book.Fast-paced and direct, The Data Visualization Workshop is the ideal companion for Python beginners who want to get up and running with data visualization. You’ll visualize your work like a skilled data scientist, learning along the way. This process means that you’ll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.Learn
Get to grips with fundamental concepts and conventions of data visualization
Learn how to use libraries like NumPy and Pandas to index, slice, and iterate data frames
Implement different plotting techniques to produce compelling data visualizations
Learn how you can skyrocket your Python data wrangling skills
Draw statistical graphics using the Seaborn and Matplotlib libraries
Create interactive visualizations and integrate them into any web page