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(→Types of Transforms: note a few more things about time series) |
(add a stub list of interesting statistics) |
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We should move towards an architecture where an arbitrary set of filters may be applied. So you could e.g. filter, filter, window, reduce. | We should move towards an architecture where an arbitrary set of filters may be applied. So you could e.g. filter, filter, window, reduce. | ||
== Interesting Statistics == | |||
Statistics should be identified that accurately and effectively convey trends in the data: | |||
* oranges/push as a function of time | |||
* for a given window, breakdown of oranges by bug number | |||
- in other words, are there a lot of different orange bugs? | |||
- is any of them a big chunk? | |||
- or are they highly scattered? | |||
* push rate (number of pushes as a function of time; pushes/week, etc) | |||
* occurance rate of orange bugs (per push) as a function of time | |||
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