Category: R Books
The Pandas DataFrame – this blog post covers the basics of loading, editing, and viewing data in Python, and getting to grips with the all-important data structure in Python -...continue reading.
“Above all else, show the data.“ -Edward Tufte, 1983 Once referred to by the New York Times as the “Leonardo da Vinci of data,” the work of data visualization expert...continue reading.
Introduction McDonald’s is a nostalgic component of America 🇺🇸 and a pioneer of fast food operations and real estate ventures, as depicted in the 2016 film, The Founder, about Ray...continue reading.
In this post, geocoded data for all property price sales in Ireland from 2012-2017 is available. Data is sourced on the Irish Property Price Register and geocoded using the Google...continue reading.
I was having a conversation about dropping the minimum threshold (currently 5% of the vote) for political parties to get representation in Parliament. The obvious question is how would seat...continue reading.
I was reading an article about the results of our latest elections where I was having a look at the spatial pattern for votes in my city. I was wondering...continue reading.
Many introductions to Bayesian analysis use relatively simple didactic examples (e.g. making inference about the probability of success given bernoulli data). While this makes for a good introduction to Bayesian...continue reading.
Ever since I read about Monty Hall problem in “The Drunkard’s Walk: How Randomness Rules Our Lives” book by Leonard Mlodinow from of the California Institute of Technology, I always wanted...continue reading.
Ordinary Least Squares (OLS) linear regression is a statistical technique used for the analysis and modelling of linear relationships between a response variable and one or more predictor variables. If...continue reading.