Basic rules for good looking slides and dashboards

Vivian Jeenel Blog

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 lovely colleagues. My colleagues are creating, among other things, dashboards to visualize the results of their analyses for our consulting projects and are working with Power Point for our data …

emoji on cups next to the laptop

How we use emojis

Jakob Gepp Blog

Once upon a time, we at STATWORX used Slack just as a messenger, but than everything changed when emojis came… Since then, we use them for all kinds of purposes. For example we take polls with them to see were we will eat lunch or we capture unforgettable moments by creating new emojis. The possibilities are limitless! But since we …

data visualisation

Open Workshop: Data Visualization in R and ggplot2, November 8th in Frankfurt

Vivian Jeenel Blog, Data Science, Statistik

The first time we at STATWORX are opening our doors for anyone who wants to learn more about data. Our “Data Visualization in R and ggplot2” workshop is designed for R-beginners and provides the perfect mixture between theory and practice. The workshop will be held in german at our office in Frankfurt. Participants achieve first insights into the concepts of …

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Custom themes in ggplot2

Lea Waniek Blog, Data Science, Statistik

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 theme() function. We did this last time. Furthermore, one also can …

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Using themes in ggplot2

Lea Waniek Blog

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 any presentation. So how make a plot look good? How make …

Data Science in Python – Matplotlib (Teil 4)

Moritz Gnisia Blog, Data Science

Nachdem wir in dem vorherigen Artikel eine Einführung in Pandas gegeben haben und somit nun Daten auswählen sowie manipulieren können, soll sich in diesem Artikel alles um die Visualisierung von Daten drehen. Bekanntlicherweise lassen sich mit der passenden Grafik Daten häufig noch besser verstehen und ermöglichen eine andere Art der Interpretation, unabhängig von Mittelwerten und anderen Kennzahlen. Welche Bibliothek zu …