I'm always interested in ways to present data in the most concise fashion that lets people extract information for their own use. I've followed the work of
Edward Tufte, he has written some amazing books on the display of quantitative information.
Which brings me to today's topic, robotic event box scores. We've all seen sports box scores that give the full information about a contest at a quick glance.
We have our own:
1. 225, 341, 304, 4637 W
2. 1676, 222, 2607, 224 QF
3. 1168, 272, 1712, 3929 QF
4. 1640, 1626, 2539, 708 QF
5. 2729, 11, 1403, 834 SF
6. 1218, 4575, 484, 4281 SF
7. 2016, 3314, 369, 1923 F
8. 365, 316, 869, 423 QF
(sample from Ramp Riot 2013, thanks Ben Martin!)
Because we know how the alliances are selected, we know how teams were selected. We also know who placed where to some extent. We don't know the real details, unless we get this:
1 beat 8 in 2 matches
5 beat 4 in 2 matches
7 beat 2 in 2 matches
6 beat 3 in 2 matches
1 beat 5 in 3 matches
7 beat 6 in 2 matches
1 beat 7 in 2 matches
I'm looking for a way to add the match info to the short summary
Like:
1. 225, 341, 304, 4637 W (2,3,2)
2. 1676, 222, 2607, 224 QF
3. 1168, 272, 1712, 3929 QF
4. 1640, 1626, 2539, 708 QF
5. 2729, 11, 1403, 834 SF (2)
6. 1218, 4575, 484, 4281 SF (2)
7. 2016, 3314, 369, 1923 F (2,2)
8. 365, 316, 869, 423 QF
If you have 1 number at the end on your alliance, you won your quarter final in X matches. If you have a second number, that's how many matches it took in the Semi's. Three is the winner and how many matches their march to victory took.
Since the elimination tree is always the same, we know that 1v8, 2v7, etc for the quarter finals. So figuring their match ups are easy.
Is there a better way to represent this data? Is there missing data that would be helpful? For example would it be worth know in the top 8 seeds? And given just the data shown, could you reconstruct the eliminations?