Run it out to "month" and you can see cyclical, daily variation of response times and a general improvement from a slower than current state over the first week

Run it out to "month" and you can see cyclical, daily variation of response times and a general improvement from a slower than current state over the first week. ␄ Tangential graph criticism: If you aren't going to put "zero" at the bottom of the Y axis, and you have graphs with only a single numbered data tick, then I have no idea whatsoever the value that correlates to a Y axis position. (except when it hits your label.) If you have fewer than 3 labeled data ticks then I don't even know if you are linear. Starting your data at zero is a really good idea unless you really mean to be graphing the derivative, in which case, maybe you should just graph the derivative. The exception is when you have a constant offset in the concept you are graphing. Like atmospheric pressure on earth. But please give me at least three ticks and try to leave them consistently spaced if I'm every going to see another graph of them from you. Including unlabeled ticks, evenly spaced, is a terse visual language that you are a linear graph.