#AFLW Regular Season 2019

The #AFLW regular season concluded last weekend. I have been collecting secondary data about the season from the AFLW web site (link). Median Profiles: Box plot comparisons (using BoxPlotR (link)): Centre lines show the medians. Box limits indicate the 25th and 75th percentiles. Whiskers extend 1.5 times the interquartile range from the 25th and 75th … Continue reading #AFLW Regular Season 2019

#AFLW 2019

The 2019 AFLW season starts on Saturday with the opening game between Geelong and Collingwood (link to fixtures). I have some data from last year’s regular season (link) curated as secondary data from the official AFLW web site (link). Median Profiles A Violin Plot created with BoxPlotR (link). (W1Q is the winning team, L1Q is … Continue reading #AFLW 2019

Using quantiles to explore AFL performance

I have been exploring the quantile function in R as a way to explore AFL performance. The generic function quantile produces sample quantiles corresponding to the given probabilities. The smallest observation corresponds to a probability of 0 and the largest to a probability of 1. I have data for 12 rounds of the 2018 AFL … Continue reading Using quantiles to explore AFL performance