Winston Chang from RStudio quietly announced last week that the second edition of his popular R Graphics Cookbook: Practical Recipes for Visualizing Data is available now to buy. Not just that, the book is also available online for free at https://r-graphics.org/. Winston Chang’s first edition of R Graphics Cookbook was the first R book I […]
PCA example using prcomp in R
In this tutorial, we will learn how to perform PCA in R using prcomp() function in R. Principal Component Analysis, aka, PCA is one of the commonly used approaches to do unsupervised learning/ dimensionality reduction. It is a fantastic tool to have in your data science/Machine Learning arsenal. You will be surprised how often the […]
How To Specify Colors to Scatter Plots in Python
Scatter plots are extremely useful to analyze the relationship between two quantitative variables in a data set. Often datasets contain multiple quantitative and categorical variables and may be interested in relationship between two quantitative variables with respect to a third categorical variable. And coloring scatter plots by the group/categorical variable will greatly enhance the scatter […]
Introduction to nest() in tidyr
Grouping our data in specific ways and analyzing is often the most common way to make interesting observations about the data. R tidyverse offers fantastic tool set to analyze data by grouping in different ways. Tidyverse dplyr’s group_by() is one of the basic verbs that is extremely useful in most common data analyis scenarios. nest() […]
How to Recode a Column with dplyr in R?
Sometimes, when working with a dataframe, you may want the values of a variable/column of interest in a specific way. You might like to change or recode the values of the column. R offers many ways to recode a column. Here we will see a simple example of recoding a column with two values using […]