We went to the Frankfurt Data Science Meetup where our Head of Data Science gave a talk about explainable AI. If you missed it, here are the main takeaways! Der Beitrag Frankfurt Data Science Meetup: Opening the Black Box erschien zuerst auf STATWORX.

It's Valentine's day, making this the most romantic time of the year. But actually, already 2018 was a year full of love here at STATWORX: many of my STATWORX colleagues got engaged. And so we began to wonder – some fearful, some hopeful – who will be next? Therefore, today we’re going ...

With the holidays approaching, one of the most discussed questions at STATWORX was whether we’ll have a white Christmas or not. And what better way to get our hopes up, than by taking a look at the DWD Climate Data Center’s historic data on the snow depth on ...

In the last post of this series of the STATWORX Blog, we explored ggplot2's themes, which control the display of all non-data components of a plot. Ggplot comes with several inbuilt themes that can be easily applied to any plot. However, one can tweak these out-of-the-box styles using the ...

As noted elsewhere, sometimes beauty matters. A plot that’s pleasing to the eye will be considered more gladly, and thus might be understood more thoroughly. Also, since we at STATWORX oftentimes need to subsume and communicate our results, we have come to appreciate how a nice plot can upgrade ...

In the last post of this series we dealt with axis systems. In this post we are also dealing with axes but this time we are taking a look at the position scales of dates, time and datetimes. Since we at STATWORX are often forecasting – and thus plotting – time series, ...

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, ...

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 ...