In this post, we will investigate the relationship between hourly step count data from two different sources: the Accupedo app on my phone, the Fitbit I wear on my wrist. We will use several visualization and analytical techniques to understand the correspondence (or lack thereof) between the two measurements. Do ...

This is a different kind of post, but one that I think is kind of fun. I currently live in Ottawa, which for those who don’t know, is the capital city of Canada. For a capital city, it’s fairly small, but it’s increasingly urbanizing (we just got ...

In this tutorial, you will be introduced to the command line. We have selected a set of commands we think will be useful in general to a wide range of audience. We have created a RStudio Cloud Project to ensure that all readers are using the same environment while going ...

In this tutorial, you will be introduced to the command line. We have selected a set of commands we think will be useful in general to a wide range of audience. We have created a RStudio Cloud Project to ensure that all readers are using the same environment while going ...

One of the fun bits of my job is that I have actual time dedicated to helping colleagues and grad students with statistical or computational problems. Recently I’ve been helping one of our Lab Instructors with some data that from their Plant Physiology Lab course. Whilst I was writing ...

New Mexico demographics via tidycensus 2016 Presidential Election Presidential elections in New Mexico historically New Mexico as bellwether? Congressional delegation historically New Mexico State Government Summary In this post, we piece together a brief political history of New Mexico using a host of data sources, including Wikipedia, the US Census, the ...

The Differences between Artificial Intelligence and Augmented Intelligence In previous posts, we looked at the definition of Artificial Intelligence (AI) and the definition of Intelligence Augmentation (IA). So, what are the differences between the two? Intelligence Augmentation has always been concerned with aiding human decision making and keeping humans-in-the-loop, whereas ...

Prediction models, machine learning algorithms and scripts for data storage: The modern data science application not only shows more and more complexity, but also puts the existing infrastructure to the test by temporary resource peaks. In this article, we will show how tools such as the RStudio Job Launcher in ...

A new release of our linl package for writing LaTeX letters with (R)markdown just arrived on CRAN. linl makes it easy to write letters in markdown, with some extra bells and whistles thanks to some cleverness chiefly by Aaron. This version now suppor...

This week, I will analyze Car Fuel Economy dataset from TidyTuesday. What is TidyTuesday? TidyTuesday is a weekly social data project in R organized by the R for Data Science community. It is a great way of improving your Data wrangling and visualization techniques, sharing and learning from others. You ...

My local authority recently decided to publish all spending over £500 in an effort to be more transparent. Here’s a post taking an overview of what they’ve published. I’ve used R for the… Continue reading →

TL;DR Describes the best practices for setting automated test architecture for Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests. Best Practices for Testing Your Shiny App Even your best apps will break down at some point during development or during ...