vectorized logo in presentation

Various Versions of R and Python Logos

Vivian Jeenel Blog, Data Science, Statistik

Since a couple of months, I am working for STATWORX as a marketing manager (and I love it). My colleagues asked me many times, if it is possible to do a logo of R or Python, in different colors with transparent background, so the logo fits perfectly in their presentations. Here, I proudly present the result of my work (Download …

System of right-angled coordinates

Coordinate systems in ggplot2: easily overlooked and rather underrated

Lea Waniek Blog, Data Science, Statistik

All plots have coordinate systems. Perhaps because they are such an integral element of plots, they are easily overlooked. However, in ggplot2, there are several very useful options to customize the coordinate systems of plots, which we will not overlook but explore in this blog post. Since it is spring, we will use a random subset of the famous iris …

About Risks and Side-Effects… Consult your Purrr-Macist

David Schlepps Blog, Data Science, Statistik

Capture errors, warnings and messages, but keep your list operations going In a recent post about text mining, I discussed some solutions to webscraping the contents of our STATWORX blog using the purrr-package. However, while preparing the next the episode of my series on text mining, I remembered a little gimmick that I found quite helpful along the way. Thus, …

greedy forest

Regularized Greedy Forest – The Scottish Play (Act I)

Fabian Müller Blog, Data Science, Statistik

Macbeth shall never vanquish'd be until Great Birnam Wood to high Dunsinane Hill Shall come against him. (Act 4, Scene 1) In Shakespeare's The Tragedy of Macbeth, the prophecy of Birnam Wood is one of three misleading prophecies foreshadowing the defeat of the protagonist of the same name. While highly unlikely, the event of a nearby forest moving towards his …

diamonds

Diamonds and Faceting are a Data Scientist's best Friends

Lea Waniek Blog, Data Science, Statistik

In the last post of this series, we took a first look at strategies for the effective visualization and exploration of data patterns within large data sets. Namely, we examined ways to overcome overplotting, with a focus on a two-dimensional feature space defined by two continuous features. However, oftentimes we want to visualize the distribution of data across several subgroups. …