Is it cheaper to fill up your gas tank in the evening? Many car drivers have their own theories and myths about refuelling. Our colleague Jakob tackled 6 of these myths using statistics in his latest blog post.
Automated creation of Docker containers
In this blog post, we focus on automated bash/shell scripts to create docker containers. We showcase its usage with an R-shiny example.
How to Speed Up Gradient Boosting by a Factor of Two
Our latest tool development at STATWORX: random boost, an algorithm twice as fast as gradient boosting, with comparable prediction performance.
R and Python: Using reticulate to get the best of both worlds
We at STATWORX use mostly R or Python for our projects. But why not both? With the help of the reticulate package we can use Python within R. Here we show an example of how to train a Support Vector Machine.
Fixing the most common problem with Plotly histograms
In today’s blog post, we show you how to improve the interactivity of Plotly histograms with automatically new rebinning.
Running your R script in Docker
This blogpost explains step by step how you can build your own Docker Image and include R scripts. With this you can have scripts running at every image’s beginning.
Roses Are Red, Violets Are Blue, Statistics Can Be Romantic Too!
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 to tackle this question in the only true way: with data science!
Plotly – An interactive Charting library
In this blog we will explore the plotly library for python and R. We show how plotly is structured and use the LA Metro Bike dataset as an example to create interactive plots.
Ensemble Methods in Machine Learning: Bagging & Subagging
In this blog we will explore the Bagging algorithm and a computational more efficient variant thereof, Subagging. With minor modifications these algorithms are also known as Random Forest and are widely applied here at STATWORX, in industry and academia.
Day 24 – big helper helfRlein
In the last 23 days I presented one function each day from the helfRlein package we created here at STATWORX. I hope you found some of the functions useful and had some fun discovering new ways of doing things with R! Since today is Christmas, only one thing remains to say: To see all functions you can either check out …