A short overview of the functionalities of the R package gganimate: Learn how to turn your static ggplots in beautiful animations showcasing your data.
Using emojis and .png as icons in your ggplot
Time flies by and we are more people now here at STATWROX. But, did we change our behavior in using emojis or are we still the same? I am revisiting my analysis and will have a look!
Dreaming of a white Christmas – with ggmap in R
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 the past ten Christmas Eves? But how to best visualize spatial data? …
Open Workshop: Data Visualization in R and ggplot2, January 25th in Munich
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 designed for R-beginners and provides the perfect mixture between theory and practice. The workshop will be held at Mindspace in Munich. Participants achieve first insights into the concepts of data …
How we use emojis
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 …
Open Workshop: Data Visualization in R and ggplot2, November 8th in Frankfurt
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 …
Custom themes in ggplot2
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 …
Coordinate systems in ggplot2: easily overlooked and rather underrated
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 …
Diamonds and Faceting are a Data Scientist’s best Friends
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. …
Flowcharts of functions
When you work on bigger R projects there comes a point when you may lose the overview of how your functions are connected. Or even worse: you get a large project and have to figure out what is actually happening! A possible remedy to this problem are flowcharts. If you started your project with a flowchart: good for you – …
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