R for Excel Users
This book is 100% complete
Completed on 2016-12-30
About the Book
While Excel might continue to be your bread-and-butter, knowing R and applying it at the right times can make you a more productive and effective analyst. This book is for beginners, and the goal is to get you started. R is known to have a steep learning curve, but I really think it has three separate curves: (1) data management, (2) statistics and (3) visualization.
The focus of this book will be on data management: how to import, manipulate, transform and summarize data through the use of functions. Once you understand and are able to work with data structures, applying analytical techniques is a relative breeze.
For example, running a linear regression is a simple command that looks like this:
lm(y ~ x1 + x2 + ... xn, data = dataset_name)
That's easy, and if you understand regression, then interpreting the output will also be easy. But getting your data set in the right format, combining it with other data sets, manipulating columns, filtering rows, etc -- that is the hurdle I will help you overcome.
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