HADLEY WICKHAM / MINE ÇETINKAYA-RUNDEL / GARRETT GROLEMUND
u003cpu003eLearn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.u003c/pu003e u003cpu003eYou'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.u003c/pu003e u003cpu003eUpdated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools.u003c/pu003e u003cpu003eYou'll learn how to:u003c/pu003e u003culu003e u003cliu003eVisualize-create plots for data exploration and communication of resultsu003c/liu003e u003cliu003eTransform-discover types of variables and the tools you can use to work with themu003c/liu003e u003cliu003eImport-get data into R and in a form convenient for analysisu003c/liu003e u003cliu003eProgram-learn R tools for solving data problems with greater clarity and easeu003c/liu003e u003cliu003eCommunicate-integrate prose, code, and results with Quartou003c/liu003e u003c/ulu003e
