(Potentially even allowing us to apply mathematical functions to the dataset).
Use case: normalize datasets to compare different data. For example, overlaying sleep with a productivity graph, or overlaying weight with an energy graph, since the units are completely different, it's hard to visualize. However, normalizing all values to 0 <= x <= 1 would allow quick comparisons.
It would be extremely helpful to have an option to normalize the dataset within the tracker. (https://en.wikipedia.org/wiki/Normalization_(statistics))
(Potentially even allowing us to apply mathematical functions to the dataset).
Use case: normalize datasets to compare different data. For example, overlaying sleep with a productivity graph, or overlaying weight with an energy graph, since the units are completely different, it's hard to visualize. However, normalizing all values to 0 <= x <= 1 would allow quick comparisons.