C
Christine Danh
Merged in a post:
Ability to Remove Outlier Data
S
Sarah Gearhart
I feel it would be helpful to either have ability to remove or "hide" outlier data (eg. low trial counts, errored data dates) so that graphs reflect more accurately in reporting.
For example, i've had some sessions where a program is set at 5 trials but there was only 1-2 opportunities which depicts highly variable on the graph compared to days in which the trial count was met.
H
Hector Estrada
Or potentially, to have a feature where it can add a sub note that can be clicked on to appear or disapear (this would assist us to analyze the data and also when we create phase change lines)
Jill Umstattd
under review
Nikolaj Hendriksen
Merged in a post:
Setting for Graphs - Not include incomplete data sets
H
Hannah Schademan, RBT
Currently, if a mastery criteria has a certain number of required trials each session's data is showing on the graph, regardless of whether enough targets were run, which can be misleading. It would be nice if there was a setting where you can exclude sessions that do not meet the minimum requirement.