Something I thought would be interesting is trying to visualise how the different tipsters on squiggle rate match-ups. A simple way to do this would be to look at squiggle margins by tipster and visualise it on a plot. To hopefully encourage you to give it a go at home ...

Recently I was on twitter and saw this tweet here. Being a Connor Blakely fan I thought to myself I wonder if those are actualy good odds and if I could visualise this. So what is the theme of the thread, well it seems as though Chris and SgtButane think ...

“The greatest value of a picture is when it forces us to notice what we never expected to see.” - J. W. Tukey (1977) To learn a new skill I think there needs to be 2 main drivers An interest in a topic easy to get to tangible wins to encourage deeper ...

Ever read a post and went damn! I really wonder how that would work for AFL . Well that was me a couple of weeks ago reading this fantastic post and as most people know a good post is a fantastic post when it is reproducible.

library(tidyverse)

## -- Attaching packages --------------------------------------------------------------- tidyverse 1.2.1 --

## v ggplot2 2.2.1     v purrr   0.2.4
## v tibble  1.4.2     v dplyr   0.7.4
## v tidyr   0.8.0     v stringr 1.3.0
## v readr   1.1.1     v forcats 0.3.0

## -- Conflicts ------------------------------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(rjags)

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As some of you may be aware, this is the best time of year. Not only is it finals time but its also Brownlow week. During my honours year my thesis was on trying to predict who would win that years Brownlow medal. I have been running the model ever ...