Mario Döbler, Tim Großmann, "The Data Visualization Workshop: A self-paced, practical approach to transforming your complex data into compelling, captivating graphics"
English | 2020 | ISBN: 1800568843 | EPUB | pages: 536 | 41.0 mb
Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop
Key Features
– Discover the essential tools and methods of data visualization
– Learn to use standard Python Descriptionting libraries such as MatDescriptionlib and Seaborn
– Gain insights into the visualization techniques of big companies
Book Description
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 Descriptionting 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 Descriptionting libraries such as MatDescriptionlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoDescriptionlib 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.
What you will learn
– Understand the importance of data visualization in data science
– Implement NumPy and pandas operations on real-life datasets
– Create captivating data visualizations using Descriptionting libraries
– Use advanced techniques to Description geospatial data on a map
– Integrate interactive visualizations to a webpage
– Visualize stock prices with Bokeh and analyze Airbnb data with MatDescriptionlib
Who this book is for
The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.
Table of Contents
– The Importance of Data Visualization and Data Exploration
– All You Need to Know about Descriptions
– A Deep Dive into MatDescriptionlib
– Simplifying Visualizations Using Seaborn
– Descriptionting Geospatial Data
– Making Things Interactive with Bokeh
– Combining What We Have Learned
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