The results were initially in a simple flat format, but to aid analysis at different levels, I have used R to turn this into a 3-level structure as follows:
a) Athlete – details of the athlete (Name, Club, Gender)
b) Event – the athletic event they competed in (Event Name)
c) Performance – the actual result they had (Time or Value, Season, Date, UK Rank, Coach (1), Venue, Age Category).
For each event, the UK athletics croatia phone number body chooses a cut-off value, and only performances that have bettered that standard are included. Therefore, there are different numbers of athletes included for every event.
One of the easiest ways to get an initial sense check on our data is to take a look at athletes with No1 ranked performances, as these will largely be by well-known athletes. There have been a total of 214 different athletes who have registered a No1 ranked performance. Clearly some athletes will have registered best results in more than one season, as well as potentially competing in multiple events. A straightforward FastStats cube data visualisation shows some of the UK’s most well-known athletes, and it is probably not a big surprise that Mo Farah comes out on top by some significant distance. He competes in a number of events and has been successful for many years.
Cube - Who is the best athlete
This metric on its own does not mean that he is necessarily the best athlete or has the best ever performance. There are athletes in the above results who only ever competed in a single event, so their chances of topping the rankings by this metric are limited.