Unlocking Data Analysis with R: Mastering the Tidyverse

In the realm of data analysis, R has carved out a niche as a powerful tool for statisticians, data scientists,…

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R: Querying a 20 million line CSV file – data.table vs data frame

As I mentioned in a couple of blog posts already, I’ve been exploring the Land Registry price paid data set…

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R: Bootstrap confidence intervals

I recently came across an interesting post on Julia Evans’ blog showing how to generate a bigger set of data…

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R: Blog post frequency anomaly detection

I came across Twitter’s anomaly detection library last year but haven’t yet had a reason to take it for a…

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R: Wimbledon – How do the seeds get on?

Continuing on with the Wimbledon data set I’ve been playing with I wanted to do some exploration on how the…

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R: Speeding up the Wimbledon scraping job

Over the past few days I’ve written a few blog posts about a Wimbledon data set I’ve been building and…

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R: Scraping the release dates of github projects

Continuing on from my blog post about scraping Neo4j’s release dates I thought it’d be even more interesting to chart…

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R: Scraping Neo4j release dates with rvest

As part of my log analysis I wanted to get the Neo4j release dates which are accessible from the release…

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R: Removing for loops

In my last blog post I showed the translation of a likelihood function from Think Bayes into R and in…

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