![](https://i0.wp.com/keithlyons.me/wp-content/uploads/2019/10/1179300360.jpg?fit=660%2C461&ssl=1)
In my investigation of single numbers to characterise performance in #RWC2019, I have been using ggplot to visualise the data from World Rugby (link).
In the visualisation below, I was keen to look at outliers <1 and >4. I found four games. A fifth game, Australia v Fiji is a 1.20 game.
![](https://i0.wp.com/keithlyons.me/wp-content/uploads/2019/10/GR5.jpeg?resize=471%2C316&ssl=1)
I used geom_hline()
with a yintercept
to draw lines at 1 and 4. For these lines I used the geom_hline()
function, and specified a range for the lines, their colour and their size (link):
geom_hline(yintercept = range(1, 4), color=’coral’, size=1)
I included the original geom_hline()
for the median ratio. My code for this was:
geom_hline(yintercept = 2.16)
I checked the accuracy of this median with median(df$Ratio) (the result was a median of 2.155 which I rounded up to 2.16.)
Photo Credit
Reaching to score (World Rugby)