You would have to create some virtual variables
Posted: Mon Dec 23, 2024 4:57 am
In special cases with fixed starting transactions (e.g. first or last), we could previously have created virtual variables to define the particular values we wanted to compare before using an expression to combine them in the way we needed for that analysis. The time required to create the virtual variables made this an inefficient process, leading to excess resource being spent on; the creation of virtual variables. If you only wanted to use this analysis once. If they were not removed afterwards, this would have had a knock-on effect in the form of VV refresh times, and the System Explorer becoming bogged down with unnecessary variables.
These new aggregations are computed as required in the calculations. This technique of aggregations is already used in our software to enable drag-offs from transactional analysis cyprus mobile numbers results – for example, if you were to select all individuals who have been to Greece, then Australia, then Portugal, with less than 400 days between each transaction.
However, this new development within expressions has opened up the flexibility to answer more general questions regarding this area of analysis.
Example 1
Aim/Task: select people who have had any 3 holidays where they have paid more on each consecutive holiday.
This is an example of a question which we could not have answered previously using FastStats® alone. For a specific booking (e.g. first) we could have created virtual variables to do the calculation – but we couldn’t have done this for any set of 3 ordered transactions.
The resulting expression from the new FastStats® aggregation functionality is shown below. Notice how we have compared the cost of the current booking to the next one, and then compared the next one to the one after that. If both these conditions hold they will return a value of 1, otherwise they will return a value of 0.
These new aggregations are computed as required in the calculations. This technique of aggregations is already used in our software to enable drag-offs from transactional analysis cyprus mobile numbers results – for example, if you were to select all individuals who have been to Greece, then Australia, then Portugal, with less than 400 days between each transaction.
However, this new development within expressions has opened up the flexibility to answer more general questions regarding this area of analysis.
Example 1
Aim/Task: select people who have had any 3 holidays where they have paid more on each consecutive holiday.
This is an example of a question which we could not have answered previously using FastStats® alone. For a specific booking (e.g. first) we could have created virtual variables to do the calculation – but we couldn’t have done this for any set of 3 ordered transactions.
The resulting expression from the new FastStats® aggregation functionality is shown below. Notice how we have compared the cost of the current booking to the next one, and then compared the next one to the one after that. If both these conditions hold they will return a value of 1, otherwise they will return a value of 0.