Introduction
January 20, 2016
#tips & tricks
A growing collection of practical shortcuts, lesser-known functions, and time-savers that make your R and Python workflow smoother.
All
Introduction 41
Getting Data 22
Basic Statistics 39
Data Management 38
Visualizing Data 74
Regression Models 42
Advanced Modeling 81
Programming 46
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Introduction
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Learn R From Scratch – Part 1
Introduction
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Programming
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Introduction
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A use of gsub, reshape2 and sqldf with healthcare data
Visualizing Data
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Visualizing Data
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Adding Text to R Plot
Introduction
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Working with the Data Frame in R
Data Management
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