Currently, the output options of Flexibility index are: time plot, common plot, summary table (1 row per org attribute) or full data. What I think is missing and would be really helpful is output of the data used in the time trend chart (1 row per week with the average FI) to be able to recreate that chart in ppt and keep adding weeks of data - customer will do this to track this on a monthly basis as a KPI.
Describe the solution you'd like
Describe alternatives you've considered
The solution now is to just save the full data (return = "data"), and do a simple summary:
group_by(Date) %>%
summarise(FlexibilityIndex = mean(FlexibilityIndex)) %>%
which maybe is the right approach if we don't want to start creating very specific data outputs. If that's the case, I suggest to just save this approach as an FAQ. Thank you!
Currently, the output options of Flexibility index are: time plot, common plot, summary table (1 row per org attribute) or full data. What I think is missing and would be really helpful is output of the data used in the time trend chart (1 row per week with the average FI) to be able to recreate that chart in ppt and keep adding weeks of data - customer will do this to track this on a monthly basis as a KPI.
Describe the solution you'd like
Describe alternatives you've considered
The solution now is to just save the full data (return = "data"), and do a simple summary:
which maybe is the right approach if we don't want to start creating very specific data outputs. If that's the case, I suggest to just save this approach as an FAQ. Thank you!