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Hi,
I have created a date table with multiple columns such as Day, Week, Month, Quarter, Year, etc.
However, I don't know how to link it with my data set which does not have a direct date match. The columns in the second table are as follow:
Customer Name,
Amount,
Dec 2020 Users,
Dec 2020 Messages,
Nov 2020 Users,
Nov 2020 Messages,
Oct 2020 Users,
Oct 2020 Messages,
Please note that I deal with data sets that are for an entire month and not by individual date (1,2,3,4....31). I have around 1,000 customers and therefore the tables would span over 1,000 rows.
Could someone please help me connect my dataset with the date table so I can slice and dice based on months?
Thanks,
@Anonymous you can transform your customer data column into date, according its field names. then you can create a relationship to date table.
A calendar table does not need to be at the date level. It can be at the Month level, as you have Indicated. Just make sure you have a unique ID for the lowest level of granularity (mm:-yyyy) and a matching column in your data table.
User | Count |
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13 | |
12 | |
8 | |
8 | |
6 |
User | Count |
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28 | |
19 | |
13 | |
11 | |
7 |