Subtitled "Start Writing Code to Wrangle, Analyze, and Visualize Data with R", this book brings together all the foundational skills you need to get started working with data, even if you have no programming or data science experience. Michael Freeman and Joel Ross look at the tools you need to solve professional-level data science problems, including R and the Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you’ve uncovered.

<ASIN:0135133106>

Authors: Michael Freeman and Joel Ross
Publisher: Addison-Wesley
Date: December 2018
Pages: 384
ISBN: 978-0135133101
Print: 0135133106
Kindle: B07KMDCHT2
Audience: Would-be data scientists
Level: Introductory/ Intermediate
Category: Data Science 

• Install your complete data science environment, including R and RStudio
• Manage projects efficiently, from version tracking to documentation
• Host, manage, and collaborate on data science projects with GitHub
• Master R language fundamentals: syntax, programming concepts, and data structures
• Load, format, explore, and restructure data for successful analysis
• Interact with databases and web APIs
• Master key principles for visualizing data accurately and intuitively
• Produce engaging, interactive visualizations with ggplot and other R packages
• Transform analyses into sharable documents and sites with R Markdown
• Create interactive web data science applications with Shiny
• Collaborate smoothly as part of a data science team

For recommendations of books on big data, see Reading Your Way Into Big Data.

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