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8 Things You Need To Know About Data Wrangling in R

8 Things You Need To Know About Data Wrangling in R

If you’ve been following along (or not), I’ve been learning to program in R ​with a little help from a friend – Matt Dancho​ – and writing my findings and experiences into a series of blog posts so you can follow along with my progress and maybe try out R ​for yourself. This is the ​third…

Getting Started With R Programming For Data Science

Getting Started With R Programming For Data Science

​Getting started with R programming can be difficult, but it doesn’t have to be. In this blog post – the first in a series, I show you the very first steps to learning R with confidence. Better still, you can follow along by doing the course with me… Continue Reading

How To Use Statistics To Plan Your Study

How To Use Statistics To Plan Your Study

​Knowing ​how to navigate through statistics to create a plan-of-action for your next study can be difficult. Where do you start? Should you bury your head in the sand and go out and collect your data without having a strategy on how to analyse it? That’s probably not a good way to start – and yet…

Hypothesis Testing – 4 Steps to the Correct Test

Hypothesis Testing – 4 Steps to the Correct Test

It can take years of learning and practice before you get comfortable with hypothesis testing, and knowing when and how to choose the right statistical hypothesis test is no mean feat. Fortunately, there are ways to shortcut this by having a process, a strategy and a nice, big diagram! Here I’m going to give you all three!…

Correlation Is Not Causation – Pirates Prove It!

Correlation Is Not Causation – Pirates Prove It!

Ever heard the Latin expression Post Hoc, Ergo Propter Hoc, meaning ‘After this, therefore because of this’? It is the basis of the saying ‘Correlation Is Not Causation’, also known in statistics as the Post Hoc Fallacy because it’s a very familiar trap that we all fall into from time to time. This is the idea…

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