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!
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.
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.
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 …
After a year both challenging and rewarding, STATWORX has taken the opportunity of the calm before the Year-End to retreat from the office for a few days. A remote area in the Belgian countryside was chosen as the location for the weekend getaway, where the team would spend a couple of days reflecting on the events of the past year, …
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? …
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 …
This little helper adds functionality to the base R function strsplit – hence the same name!
This little helper does the same thing as the "Find in files" search within RStudio.
This little helper returns indices of recurring patterns. It works with numbers as well as with characters.