Do you want to visualize beautiful graphs in R but are shy to leave the tidyverse? Tidygraph and Ggraph ‚got you covered! See how their main functionalities are applied in this social network example!
The number of different products and customers in any business area are practically infinite.
But how can you find interactions between them like joint purchases and define groups? One solution is the so-called Community Detection. In this blog post, I want to show you the magic behind Community Detection and give you a theoretical introduction into the Louvain and Infomap algorithm.
A short overview of the functionalities of the R package gganimate: Learn how to turn your static ggplots in beautiful animations showcasing your data.
rBokeh is an interactive plotting library. Since it functions lack some arguments compared to its Python counterpart, plots are sometimes difficult to customize. I will show how to overcome those issues and drill out the plot objects.
Du interessiertst Dich für Data Science und möchtest Deine Daten sinnvoll nutzen? Im Data Science Bootcamp von der STATWORX Data Academy bekommen Einsteiger den perfekten Start in die Praxis. Gemeinsam erarbeiten wir in 5 Tagen die wichtigsten Grundlagen von Data Science, Machine Learning und Programmierung. Du entwickelst R und Python Modelle und arbeitest wie ein echter Data Scientist. Was …
A walk through how networks are visualized at STATWORX using the package visNetwork.
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.
In today’s blog post, we show you how to improve the interactivity of Plotly histograms with automatically new rebinning.
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.