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Hi,
I have a table (info_table) with information I need to use to create a new column in a different table (data_table).
info_table
promo_name | start_date | end_date |
AAA | 01/12/2020 | 03/12/2020 |
BBB | 05/12/2020 | 07/12/2020 |
data_table
id | date |
1 | 02/12/2020 |
2 | 04/12/2020 |
3 | 05/12/2020 |
Resulting column, in data_table:
promo_name |
AAA |
None |
BBB |
My formula:
The problem with this formula is it just maps the first row correctly.
Right now I'm getting around this by creating a formula and inserting the conditions I want manually, but I'd like it to update correctly according to the different promo_names in info_table.
Any help will be appreciated!
Solved! Go to Solution.
@Anonymous , Create a new column in data_table
new column = coalesce(maxx(filter(info_table, info_table[start_date] <=data_table[date] && info_table[end_date] >=data_table[date]),[promo_name]),"None")
@Anonymous , Create a new column in data_table
new column = coalesce(maxx(filter(info_table, info_table[start_date] <=data_table[date] && info_table[end_date] >=data_table[date]),[promo_name]),"None")
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