Simple Data Transformation Tricks In R

Kevin Feasel



Abdul Majed Raja has a few tidyverse-friendly data transformation tips:

Splitting a column to many columns is a cliched Data Transformation case that’s hardly unseen while performing Data Transformation. While it’s straightforward to do this in Microsoft Excel, it’s slightly tricky using Data analytics languages. That is true until this function separate() from tidyr came.

These are small but helpful tips.

Related Posts

Principal Component Analysis With Stack Overflow Data

Julia Silge explains Principal Component Analysis and shows us an example using Stack Overflow data: We have tidy data, both because that’s what I get when querying our databases and because it is useful for exploratory data analysis when preparing for a machine learning algorithm like PCA. To implement PCA, we need a matrix, and […]

Read More

Using xplain To Interpret Model Results

Joachim Zuckarelli walks us through the xplain package in R: The above XML produces the following output (don’t worry too much about the call of xplain(), we will discuss later on in more detail how to work with the xplain() function): library(car) library(xplain) xplain(call="lm(education ~ young + income + urban, data=Anscombe)", xml="") ## ## Call: ## lm(formula = education […]

Read More


February 2018
« Jan Mar »