Online Workshop Tidy Data Science in R, by Jake Thompson

Here’s a website hosting for a five-day hands-on workshop based on the book “R for Data Science”. The workshop was originally offered as part of the Stats Camp: Summer Statistical Institute in Lawrence, KS and hosted by the Center for Research Methods and Data Analysis and the Achievement and Assessment Instituteat the University of Kansas. It is designed for those who…

Tidy Machine Learning with R’s purrr and tidyr

Jared Wilber posted this great walkthrough where he codes a simple R data pipeline using purrr and tidyr to train a large variety of models and methods on the same base data, all in a non-repetitive, reproducible, clean, and thus tidy fashion. Really impressive workflow!

Animated vs. Static Data Visualizations

GIFs or animations are rising quickly in the data visualization world (see for instance here). However, in my personal experience, they are not as widely used in business settings. You might even say animations are frowned by, for instance, LinkedIn, which removed the option to even post GIFs on their platform! Nevertheless, animations can be…

Tidy Missing Data Handling

A recent open access paper by Nicholas Tierney and Dianne Cook — professors at Monash University — deals with simpler handling, exploring, and imputation of missing values in data.They present new methodology building upon tidy data principles, with a goal to integrating missing value handling as an integral part of data analysis workflows. New data structures are…

Simple Correlation Analysis in R using Tidyverse Principles

R’s standard correlation functionality (base::cor) seems very impractical to the new programmer: it returns a matrix and has some pretty shitty defaults it seems. Simon Jackson thought the same so he wrote a tidyverse-compatible new package: corrr! Simon wrote some practical R code that has helped me out greatly before (e.g., color palette’s), but this new package is…

ggstatsplot: Creating graphics including statistical details

This pearl had been resting in my inbox for quite a while before I was able to add it to my R resources list. Citing its GitHub page, ggstatsplot is an extension of ggplot2 package for creating graphics with details from statistical tests included in the plots themselves and targeted primarily at behavioral sciences community to provide a one-line code…

Generating Book Covers By Their Words — My Dissertation Cover

As some of you might know, I am defending my PhD dissertation later this year. It’s titled “Data-Driven Human Resource Management: The rise of people analytics and its application to expatriate management” and, over the past few months, I was tasked with designing its cover. Now, I didn’t want to buy some random stock photo…

Become a data-driven Sommelier by text mining wine reviews

Aleszu Bajak at Storybench.org published a great demonstration of the power of text mining. He used the R tidytext package to analyse 150,000 wine reviews which Zach Thoutt had scraped from Wine Enthusiast in November of 2017. Aleszu started his analysis on only the French wines, with a simple word count per region: Next, he applied TF-IDF to surface the…