One thing I think the chart will highlight is how PPLNS smooths variance. You won't see big spikes/cliffs of luck that only last a short burst and go way positive/way negative. Instead you'll see it trend positive for a while, then negative, since PPLNS is designed to basically even out per-round variance by stretching it over the last N shares (in this case, broken up into shifts).
That's a great chart - the only comment I have is that you should probably have it on a log scale rather than linear - on your scale luck can be infinitely high, but can not reach 0. Using a linear scale gives more weight to the positive luck.
Bad luck is already going to be disproportionately represented on a graph due to bad luck being defined as "long time without blocks", so either way it's going to be biased.
Well, that's another problem with averaging luck over time instead of blocks. Over a longish period of time there's no significant effect, but over a day averaged luck will be, on average, a few percent lower than the real luck. The only way around that problem is to average over "n" blocks and but label it with dates. The only problem is changing the number of blocks over which the luck is averaged if the pool loses or gains large percentages of the network.
Edit:
Okay, after playing with it, I went with a log scale on the graph
.
Disregard most of the last part - I have another look at your chart and it already
is labelled with blocks solved. Sorry about that.
Anyway, having the x axis scaled to blocks solved and the y-axis log scaled means that luck will be represented without bias in either direction. Nice job, mate.