Included from trend description:
This trend is to track the overall points standings of the Premier League teams to watch the leaderboard change.
% time1281 and data1281 available for use
% for Liverpool - Overall points
%
plot(time1215,data1215)
hold all
plot(time1213,data1213)
plot(time1214,data1214)
plot(time1280,data1280)
plot(time1281,data1281)
hold off
datetick
title('English Premier League Standings')
ylabel('Points')
legend( ...
{'Tottenham','Manchester United','Manchester City','Arsenal','Liverpool'}, ...
'Location','NorthWest')
data points
Created 19 Jan 2012 by Rob Nickerson (1 Like)
229 views (30 days)
This trend is associated in this plot (though may not be used.)
data points
Created 19 Jan 2012 by Rob Nickerson
210 views (30 days)
This trend is associated in this plot (though may not be used.)
data points
Created 19 Jan 2012 by Rob Nickerson
200 views (30 days)
This trend is associated in this plot (though may not be used.)
data points
Created 25 Jan 2012 by Kunal Sawlani
178 views (30 days)
This trend is associated in this plot (though may not be used.)
data points
Created 25 Jan 2012 by Ned Gulley
236 views (30 days)
This trend is associated in this plot (though may not be used.)
2 comments
I would suggest an improvement to this graph: The data points for a particular club should come only from the days that the club has played a game (as opposed to now where it is sourced from when anybody plays a game). This will make it possible to tell the difference between a loss (0 points) and not playing at all that day (0 points).
It would be awesome if home and away games could be distinguished.
Not sure if the dataset would allow these changes though.
Cheers! This was a fun graph!
you'll never walk alone