What does a modern analytics platforms need to offer companies real added value? The more information a platform represents and the more detailed the individual analytics projects are, the stricter is often the way in which projects must be planned and implemented. But what would happen if the individual project ...

Differential equations are a powerful tool for modeling how systems change over time, but they can be a little hard to get into. Love, on the other hand, is humanity’s perennial topic; some even claim it is all you need. In this blog post — inspired by Strogatz (1988, 2015) — I will ...

tl; dr SASS is CSS for programmers.  It gives you the building blocks that you’re used to, such as variables, conditions, and loops.  And it helps you organize. The bigger the project, the bigger the advantages offered by SASS. It’s a way of managing CSS styles even if ...

There is a new suite of packages for tidy time series analysis, that integrates easily into the tidyverse way of working. We call these the tidyverts packages, and they are available at tidyverts.org. Much of the work on these packages has been done by Earo Wang and Mitchell O’...

One hundred seventy-six new packages made it to CRAN in July. Here are my “Top 40” picks organized into twelve categories: Data, Data Science, Finance, Genomics, Machine Learning, Mathematics, Medicine, Statistics, Time Series, Topological Data Analysis, Utilities and Visualization. Data eia v0.3.2: Provides API access to data from the US Energy ...

Diagnosing and fixing errors in your code can be time-consuming and frustrating. There are two ways you can make your life easier. The first is knowing the tools at your disposal in RStudio to debug errors. RStudio provides a variety of tools to help you diagnose the problem at its ...

Introduction The latest stable version of my UK geocoder package has finally made it to CRAN. PostcodesioR is a wrapper for postcodes.io and it provides multiple functions to work with UK geospatial data. This package is based exclusively on open data provided by Ordnance Survey and Office for National ...

I need to deploy Shiny on a Windows machine. I also need to use {checkpoint} for package management. Using Docker seems to be the only reasonable approach to Shiny on Windows. But how easy would it be to also factor {checkpoint} into this setup? Only o...

I need to deploy Shiny on a Windows machine. I also need to use {checkpoint} for package management. Using Docker seems to be the only reasonable approach to Shiny on Windows. But how easy would it be to also factor {checkpoint} into this setup? Only one reasonable way to find ...

In the previous three posts I used multiple linear regression, decision trees, gradient boosting, and support vector machine to predict miles per gallon for 2019 vehicles.  It was determined that svm produced the best model.  In this post, I am going to run TensorFlow through R and fit a multiple linear ...

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio). Category Visualizing Data Tags Correlations EDA ggplot2 lares R Programming A well-done correlation analysis will lead us to a greater understanding of our data and empower us with valuable insights. A correlation analysis is a ...

During the last years I have become a huge fan of tennis (both, on court and in TV). This year I followed (in TV) with attention Roland Garros and Wimbledon. Although clay and grass are very different surfaces I’ve found the game very similar. What happened with the serve-volley ...