I am involved with a very interesting project - the NIA IMPACT Collaboratory - where a primary goal is to fund a large group of pragmatic pilot studies to investigate promising interventions to improve health care and quality of life for people living with Alzheimer’s disease and related dementias. ...

Introduction: We will identify anomalous patterns in data, this process is useful, not only to find inconsistencies and errors but also to find abnormal data behavior, being useful even to find cyber attacks on organizations. On this article there is more information as reference: Data Quality and Anomaly Detection Thoughts ...

I’ve been exploring the feasibility of aggregating data on prices of replacement parts for heavy machinery. There are a number of websites which list this sort of data. I’m focusing on the static sites for the moment. I’m using are R ...

I’ve been exploring the feasibility of aggregating data on prices of replacement parts for heavy machinery. There are a number of websites which list this sort of data. I’m focusing on the static sites for the moment. I’m using are R with {rvest} (and a few other ...

Tidygeocoder is a newly published R package which provides a tidyverse-style interface for geocoding. It returns latitude and longitude coordinates in tibble format from addresses using the US Census or Nominatim (OSM) geocoder services. In this post I will demonstrate how to use it for plotting a few Washington, DC ...

Florianne Verkroost is a PhD candidate at Nuffield College at the University of Oxford. With a passion for data science and a background in mathematics and econometrics. She applies her interdisciplinary knowledge to computationally address societal problems of inequality. In this series of blog posts, I will compare different machine ...

Tidy Tuesday is a fun weekly activity where a lot of R enthusiasts make different visualisations, and possibly modelling, of the same dataset. You can read more about it at their Github page. I participated for three weeks, and here is a recap. I will show excerpts of the code, ...

The problem I stumbled across this problem as a TA for an introductory R course. It was a minor question on a Problem Set focussed on creating a Shiny app that the instructor had seeminly dismissed as trivial and not bothered to include in his solution guide. Anyways, I needed ...

The problem I stumbled across this problem as a TA for an introductory R course. It was a minor question on a Problem Set focussed on creating a Shiny app that the instructor had seeminly dismissed as trivial and not bothered to include in his solution guide. Anyways, I needed ...

Introduction In the previous parts of this series, we have shown how to write functions as both combinations of dplyr verbs and SQL query generators that can be executed by Spark, how to execute them with DBI and how to achieve lazy SQL statements that only get executed when needed. ...

Intro Just like the question “what’s the difference between machine learning and statistics” has shed a lot of ink (since at least Breiman (2001)), the same question but where statistics is replaced by econometrics has led to a lot of discussion, as well. I like this presentation by Hal Varian ...

Unborking the borked laptop - Recap I’m trying to learn some Linux. Ostensibly to do some data science at the command line, because it feels like something I might need to know at some point. I have reclaimed an old Windows laptop ( poorl...