My everyday business is to make things beautiful. I create a lot of illustrations for STATWORX for advertisement. Like my last blog post my new post is inspired by my...continue reading.
I’m happy to announce that version 0.8.0 of my ggeffects-package is on CRAN now. The update has fixed some bugs from the previous version and comes along with many new...continue reading.
Alright, seems like this is developing into a blog where I am increasingly investigating my own music listening habits.Recently, I’ve come across the analyzelastfm package by Sebastian Wolf. I used...continue reading.
Linguistic Signals of Album Quality: A Predictive Analysis of Pitchfork Review Scores Using Quanteda
In this post we will return to the Pitchfork music review data, parts of which I’ve analyzed in previous posts. Our goal here will be to use text mining and...continue reading.
Today’s RSS feeds picked up this article by Marianne Sullivan, Chris Sellers, Leif Fredrickson, and Sarah Lamdanon on the woeful state of enforcement actions by the U.S. Environmental Protection Agency...continue reading.
At the last homework before Christmas I asked my students from DataVisTechniques to create a ,,Christmas style” data visualization in R or Python (based on simulated data). Libaries like rbokeh,...continue reading.
This dance, it’s like a weapon: Radiohead’s and Beck’s danceability, valence, popularity, and more from the LastFM and Spotify APIs
Giddy up, giddy it upWanna move into a fool’s gold roomWith my pulse on the animal jewelsOf the rules that you choose to use to get looseWith the luminous movesBored...continue reading.
ggeffects (CRAN, website) is a package that computes marginal effects at the mean (MEMs) or representative values (MERs) for many different models, including mixed effects or Bayesian models. One of...continue reading.
The first time we at STATWORX are organizing a workshop for anyone who wants to learn more about data and graphics. Our “Data Visualization in R and ggplot2” workshop is...continue reading.
Using Python with SQL Server 2017 SSRS should not be an obstacle, since the framework and the technology is the same as with R language. With SQL Server 2017, Python...continue reading.