A question came up recently about variations in the age at menarche - the first occurrence of menstruation for a female human - with regards to the environment. A comparison by country seemed like a reasonable first step in noting whether there were in fact any significant, potentially environmental, differences in this age. A quick … Continue reading Average age at menarche by country
Author: Adam
Analysing your 23andme genetic data in R part 2: exploring the traits associated with your genome
In part one of this mini-series, you heroically obtained and imported your 23andme raw genome data into R. Fun as that was, let's see if we can learn something interesting from it. After all, 23andme does automatically provide several genomic analysis reports, but - for many sensible reasons - it is certainly limited in what … Continue reading Analysing your 23andme genetic data in R part 2: exploring the traits associated with your genome
Analysing your 23andme genetic data in R part 1: importing your genome into R
23andme is one of the ever-increasing number of direct to consumer DNA testing companies. You send in a vial of your spit; and they analyse parts of your genome, returning you a bunch of reports on ancestry, traits and - if you wish - health. Their business is highly regulated, as of course it should … Continue reading Analysing your 23andme genetic data in R part 1: importing your genome into R
R packages for summarising data – part 2
In a recent post, I searched a tiny percentage of the CRAN packages in order to check out the options for R functions that quickly and comprehensively summarise data, in a way conducive to tasks such as data validation and exploratory analytics. Since then, several generous people have been kind enough to contact me with … Continue reading R packages for summarising data – part 2
Books I read in 2017
Long term readers (hi!) may recall my failure to achieve the target I had of reading 50 books in 2016. I had joined the 2016 Goodreads reading challenge, logged my reading activity, and hence had access to the data needed track my progress at the end of the year. It turns out that 41 books … Continue reading Books I read in 2017
My favourite R package for: summarising data
Hot on the heels of delving into the world of R frequency table tools, it's now time to expand the scope and think about data summary functions in general. One of the first steps analysts should perform when working with a new dataset is to review its contents and shape. How many records are there? … Continue reading My favourite R package for: summarising data
My favourite R package for: frequency tables
Back for the next part of the "which of the infinite ways of doing a certain task in R do I most like today?" series. This time, what could more more fascinating an aspect of analysis to focus on than: frequency tables? OK, most topics might actually be more fascinating. Especially when my definition of … Continue reading My favourite R package for: frequency tables
My favourite R package for: correlation
R is a wonderful, flexible, if somewhat arcane tool for analytics of all kinds. Part of its power, yet also its ability to bewilder, comes from the fact that there are so many ways of doing the same, or similar, things. Many of these ways are instantly available thanks to many heroes of the R … Continue reading My favourite R package for: correlation
Transactions by active subscribers formulae in Tableau
This blog returns back from the dead (dormant?) with a quick note-to-self on how to do something that sounds simple but proved slightly complicated in practice, using Tableau. Here's a scenario, although many others would fit the same pattern. Imagine you have a business that is subscription based, where people can subscribe and cancel whenever … Continue reading Transactions by active subscribers formulae in Tableau
The Datasaurus: a monstrous Anscombe for the 21st century
Most people trained in the ways of data visualisation will be very familiar with Anscombe's Quartet. For the uninitiated, it's a set of 4 fairly simple looking X-Y scatterplots that look like this. What's so great about those then? Well, the reason data vizzers get excited starts to become clear when you realise that the dotted grey … Continue reading The Datasaurus: a monstrous Anscombe for the 21st century
Dabbling with Data 