Visualizing Data
May 14, 2019
#tips & tricks
A growing collection of practical shortcuts, lesser-known functions, and time-savers that make your R and Python workflow smoother.
All
Introduction 44
Getting Data 27
Basic Statistics 44
Data Management 42
Visualizing Data 78
Regression Models 46
Advanced Modeling 84
Programming 51
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Basic Statistics
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Earthquake Analysis (3/4): Visualizing Data on Maps
Introduction
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How to generate QR codes with R and publish with R Markdown
Getting Data
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How to import multiple .csv files simultaneously in R and create a data frame
Regression Models
March 5, 2019
How to do regression analysis for multiple independent or dependent variables
Introduction
March 4, 2019
How to build a simple flowchart with R: DiagrammeR package
Basic Statistics
March 2, 2019
How to calculate the correlation coefficients for more than two variables
Basic Statistics
February 16, 2019
How to compute the z-score with R
Introduction
February 4, 2019