Visualizing Data
March 22, 2022
#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
Latest R articles
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Basic Statistics
November 8, 2021
Ditch p-values. Use Bootstrap confidence intervals instead
Data Management
November 4, 2020
R as GIS, part 1: vector
Data Management
October 22, 2020
How to carry column metadata in pivot_longer
Visualizing Data
March 4, 2020
Map Visualization of COVID-19 Across the World with R
Data Management
August 28, 2019
How to create multiple variables with a single line of code in R
Data Management
May 22, 2019
Converting data from long to wide simplified: tidyverse package
Visualizing Data
May 19, 2019
How to make 3D scatter plots with R: scatterplot3d package
Data Management
May 16, 2019