Thank you ggplot2tutor for solving one of my struggles. Apparently this is all it takes: I can’t begin to count how often I have wanted to visualize a (normal) distribution in a plot. For instance to show how my sample differs from expectations, or to highlight the skewness of the scores on a particular variable….

# Tag: error

## Survival of the Best Fit: A webgame on AI in recruitment

Survival of the Best Fit is a webgame that simulates what happens when companies automate their recruitment and selection processes. You – playing as the CEO of a starting tech company – are asked to select your favorite candidates from a line-up, based on their resumés. As your simulated company grows, the time pressure increases,…

## GIF visualizations of Type 1 and Type 2 error in relation to sample size

On twitter, I came across the tweet below showing some great GIF visualizations on the dangers of taking small samples. Created by Andrew Stewart, and tweeted by John Holbein, the visuals show samples taken from a normal distributed variable with a mean of 10 and a standard deviation of 2. In the left section, Andrew…

## Sentiment Analysis: Analyzing Lexicon Quality and Estimation Errors

Sentiment analysis is a topic I cover regularly, for instance, with regard to Harry Plotter, Stranger Things, or Facebook. Usually I stick to the three sentiment dictionaries (i.e., lexicons) included in the tidytext R package (Bing, NRC, and AFINN) but there are many more one could use. Heck, I’ve even tried building one myself using a synonym/antonym…

## Simpson’s Paradox: Two HR examples with R code.

Simpson (1951) demonstrated that a statistical relationship observed within a population—i.e., a group of individuals—could be reversed within all subgroups that make up that population. This phenomenon, where X seems to relate to Y in a certain way, but flips direction when the population is split for W, has since been referred to as Simpson’s…