To prepare for this recipe, do the following:
- Open Power BI Desktop.
- Use an Enter Data query to create a table called R03_Table with the following data:
Date |
Customer |
3/1/2015 |
1 |
12/1/2016 |
1 |
6/1/2017 |
2 |
8/1/2017 |
2 |
9/1/2017 |
2 |
1/1/2018 |
3 |
3/1/2018 |
3 |
1/1/2019 |
4 |
3/1/2019 |
5 |
8/1/2019 |
4 |
9/1/2019 |
3 |
9/1/2019 |
2 |
9/1/2019 |
5 |
9/1/2019 |
4 |
9/1/2019 |
6 |
9/1/2019 |
6 |
- Create the following columns in R03_Table:
Month Name = FORMAT([Date],"mmmm")
Year = YEAR([Date])
Month = MONTH([Date])
- Create the following table, R03_Dates:
R03_Dates =
SELECTCOLUMNS(
GENERATESERIES(
MIN('R03_Table'[Date]),
MAX('R03_Table'[Date]),
1
),
"Date",
[Value]
)
- Create the following columns in R03_Dates:
Month Name = FORMAT([Date],"mmmm")
Year = YEAR([Date])
Month = MONTH([Date])
- Ensure that the R03_Table and R03_Dates tables are not related to one another.