This is the code repository for Advanced Analytics with R and Tableau, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.
Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.
By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.
The code will look like the following:
df = data.frame(
Year=c(2013, 2013, 2013),
Country=c("Arab World","Carribean States", "Central Europe"),
LifeExpectancy=c(71, 72, 76))
You'll need the following software: • R version 3.4.1 • RStudio for Windows • Plugins for RStudio
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent