Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
I have a finance table for budgets and estaimtes and it has several categorical features/columns. There has to be a better way to summarize the table and utilizing the features for lookup tables rather than creating each indiviual table via 'group by' in transform.
Example table:
LOCATION | OFFICE | TYPE | COLOR | ESTIMATE | BUDGET |
NORTH | A1 | BIG | BLUE | 15 | 16 |
SOUTH | A1 | SMALL | BLUE | 20 | 22 |
NORTH | A2 | SMALL | BLUE | 18 | 17 |
NORTH | A1 | SMALL | BLUE | 19 | 23 |
SOUTH | A1 | BIG | GREEN | 15 | 20 |
SOUTH | A3 | BIG | GREEN | 21 | 14 |
Based on this table, i would go to transform and create a table via group by for each 'location', office, type and color.
Then these tables are used for reference in dimension tables. Example, another database might have total revenue for North or total costs for Small.
There shouldn't be a need to create all those summary tables. You should be able to just keep all the detail and create your summaries in visuals and/or measures. Please clarify what you are trying to do. Sample data with expected outcome is always helpful to get a specific answer from the community.
Pat