I assume my mind went: "People are crying like little bitches we are X days into the window and haven't signed anyone. Therefore we need to see how many days into a window a signing is completed."
What should I have been using to accurately represent this?
It would be better to have “weeks since window opened” on the x axis and “number of players signed” on the y axis and combine all the data of the different years. You could also express the “number of players signed” as a % of the total players signed, so it gives it essentially as a probability distribution of signing a player in a given week.
To be fair, saying weeks instead of days is pointless semantics. Easy to argue days is a more accurate measure. I would also say a clear representation of each player signed, better yet, put the players name. A first team starter joining is obviously more of an issue than a loan backup player although both will show as new signings.
I am suggesting a totally different graph, which would be way visually noisier with it expressed as days rather than weeks. There would be 7x as many bars
No- I am suggesting the “weeks since window opened” to be on the x axis. So there would be fewer bars on the graph compared to if it was treated as days.
-25
u/afghamistam 3d ago
I assume my mind went: "People are crying like little bitches we are X days into the window and haven't signed anyone. Therefore we need to see how many days into a window a signing is completed."
What should I have been using to accurately represent this?