Find out how to use R to summarise electricity use by hour or day.

A decision was made early in DataCamp's history to outsource our instructors so we can attract the best talent and build as many high-quality courses and projects as quickly as possible. DataCamp instructors -- academics, data scientists in industry, a...

The CBC covered the recent (as of the original post-time on this blog entry) Quebec elections and used a well-crafted hex grid map to display results: They have a great ‘splainer on why they use this type of map. Thinking that it may be useful for others, I used a ...

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 ...

With frequentist methods, would you be able to discuss how important setting agreed sample sizes or run times is? In the academic world p-hacking is a known thing and I’d argue it’s more prevalent in industry, so would be good to get your view on t...

While some English Premier League matches are bitterly even in nature, others are historically more one-sided. Using the engsoccerdata package in R, I looked at EPL results data from 1888 to 2017, and sought to find the answer to the question: what have been the most uneven matches in the English first ...

CategoriesAdvanced Modeling Tags Data Visualisation Neural Networks Prediction R Programming A neural network is a computational system that creates predictions based on existing data. Let us train and test a neural network using the neuralnet library in R. How To Construct A Neural Network? A neural network consists of: Input ...

In 2012, Danielle Herbert, Adrian Barnett, Philip Clarke and Nicholas Graves published an article entitled “on the time spent preparing grant proposals: an observational study of Australian researchers“, whose conclusions had been included in Nature under a more explicit title, “Australia’s grant system wastes time” ! In this study, they included 3700 ...

Introduction R code contain a lot of parentheses in case of a sequence of multiple operations. When you are dealing with complex code, it results in nested function calls which are hard to read and maintain. The magrittr package by Stefan Milton Bache provides pipes enabling us to write R ...

Ideal points estimation Legislators in political space Legislation in 2D political space Political space and marijuana A quick geographical perspective Political ideology in NMSL53 Summary References This is the second in a series of posts investigating voting patterns in New Mexico’s 53rd State Legislature (NMSL53). In this post, we ...

In our next MünsteR R-user group meetup on Tuesday, November 20th, 2018, titled Using R to help plan the future of transport, Mark Padgham will provide an overview of several inter-related R packages for analysing urban dynamics. You can RSVP here...

Some of the most popular articles on the Devil is in the Data show how to visualise spatial data creatively. In the old days, obtaining latitude and longitude required a physical survey, with Google maps, this has become a lot easier. The geocode function from the ggmap package extracts longitude ...

For many tasks in statistics and data science it is useful to create a random sample or permutation of a data set. Within R the function base::sample() is used for this task. Unfortunately this function uses a slightly biased algorithm for creating random integers within a given range. Most ...

Software can save lifes! — R and Python programming language rank in the Top10 of programming languages today. Both languages come out of open-source and research environments and are now moving into the industry. Testing software is really essential in industry. Why to talk about human readable tests? Let me introduce ...

CategoriesIntroduction Tags Data Visualisation R Programming tidyverse Tips & Tricks In this post, I will show you, how to use visualization and transformation for exploring your data in R. I will use several functions that come with Tidyverse package. In general, there are two types of variables, categorical and continuous. In ...