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Dear All,
need your help for Store type analyisi current year over last year samperiod.
how to make in power bi desktop with dynamic pivot table.
need summary matrix :
Filter 1 | Month | ||
Filter 2 | Brand | ||
Matrix | Remarks | FY 2022-23 | FY 2023-24 |
Total Store Count | Total count of Store | ||
Total Value | Total Sale Value | ||
Repeat Store Count | Present in Current Year and Sameperiod Last Year | ||
Repeat Store Value | |||
Lapser Store Count | Present in sameperiod Last Year but not present in Current Year | ||
Lapser Store Value | |||
New Store Count | Present in Current Year but Not present in sameperiod Last Year | ||
New Store Value |
|
Data is Below.....
Table1
Retailer UID | Date | BRAND | Value in Lakh |
BR-0000002 | 01-08-2022 | ABC | 0.06 |
BR-0000008 | 01-08-2022 | ABC | 0.03 |
BR-0000028 | 01-08-2022 | ABC | 0.30 |
BR-0000030 | 01-08-2022 | ABC | 0.11 |
BR-0000031 | 01-08-2022 | ABC | 0.26 |
BR-0000032 | 01-08-2022 | ABC | 0.37 |
BR-0000038 | 01-08-2022 | XYZ | 0.13 |
BR-0000040 | 01-08-2022 | XYZ | 0.08 |
BR-0000045 | 01-08-2022 | XYZ | 0.00 |
BR-0000048 | 01-08-2022 | XYZ | 0.01 |
BR-0000054 | 01-08-2022 | XYZ | 0.00 |
BR-0000055 | 01-08-2022 | XYZ | 0.00 |
BR-0000059 | 01-08-2022 | XYZ | 0.00 |
BR-0000062 | 01-08-2022 | XYZ | 0.00 |
BR-0000031 | 01-08-2023 | ABC | 0.26 |
BR-0000032 | 01-08-2023 | ABC | 0.37 |
BR-0000038 | 01-08-2023 | XYZ | 0.13 |
BR-0000040 | 01-08-2023 | XYZ | 0.08 |
BR-0000045 | 01-08-2023 | XYZ | 0.00 |
BR-0000040 | 01-08-2023 | WBC | 0.08 |
BR-0000045 | 01-08-2023 | WBC | 0.00 |
BR-0000055 | 01-08-2023 | WBC | 0.00 |
BR-0000042 | 01-08-2023 | WBC | 0.08 |
BR-0000043 | 01-08-2023 | WBC | 0.00 |
BR-0000012 | 01-08-2023 | WBC | 0.01 |
BR-0000012 | 01-08-2023 | WBD | 0.00 |
BR-0000035 | 01-08-2023 | WBC | 0.00 |
BR-0000002 | 01-07-2022 | ABC | 0.06 |
BR-0000008 | 01-07-2022 | ABC | 0.03 |
BR-0000028 | 01-07-2022 | ABC | 0.30 |
BR-0000030 | 01-07-2022 | ABC | 0.11 |
BR-0000031 | 01-07-2022 | ABC | 0.26 |
BR-0000032 | 01-07-2022 | ABC | 0.37 |
BR-0000038 | 01-07-2022 | XYZ | 0.13 |
BR-0000040 | 01-07-2022 | XYZ | 0.08 |
BR-0000045 | 01-07-2022 | XYZ | 0.00 |
BR-0000048 | 01-07-2022 | XYZ | 0.01 |
BR-0000054 | 01-07-2022 | XYZ | 0.00 |
BR-0000055 | 01-07-2022 | XYZ | 0.00 |
BR-0000059 | 01-07-2022 | XYZ | 0.00 |
BR-0000062 | 01-07-2022 | XYZ | 0.00 |
BR-0000031 | 01-07-2022 | ABC | 0.26 |
BR-0000032 | 01-07-2022 | ABC | 0.37 |
BR-0000038 | 01-07-2022 | XYZ | 0.13 |
BR-0000040 | 01-07-2022 | XYZ | 0.08 |
BR-0000045 | 01-07-2022 | XYZ | 0.00 |
BR-0000040 | 01-07-2022 | WBC | 0.08 |
BR-0000045 | 01-07-2022 | WBC | 0.00 |
BR-0000055 | 01-07-2022 | WBC | 0.00 |
BR-0000042 | 01-07-2022 | WBC | 0.08 |
BR-0000043 | 01-07-2022 | WBC | 0.00 |
BR-0000012 | 01-07-2022 | WBC | 0.01 |
BR-0000012 | 01-07-2022 | WBD | 0.00 |
BR-0000035 | 01-07-2022 | WBC | 0.00 |
BR-0000002 | 01-07-2023 | ABC | 0.06 |
BR-0000008 | 01-07-2023 | ABC | 0.03 |
BR-0000028 | 01-07-2023 | ABC | 0.30 |
BR-0000030 | 01-07-2023 | ABC | 0.11 |
BR-0000031 | 01-07-2023 | ABC | 0.26 |
BR-0000032 | 01-07-2023 | ABC | 0.37 |
BR-0000038 | 01-07-2023 | XYZ | 0.13 |
BR-0000040 | 01-07-2023 | XYZ | 0.08 |
BR-0000045 | 01-07-2023 | XYZ | 0.00 |
BR-0000048 | 01-07-2023 | XYZ | 0.01 |
BR-0000054 | 01-07-2023 | XYZ | 0.00 |
BR-0000055 | 01-07-2023 | XYZ | 0.00 |
BR-0000059 | 01-07-2023 | XYZ | 0.00 |
BR-0000062 | 01-07-2023 | XYZ | 0.00 |
BR-0000031 | 01-07-2023 | ABC | 0.26 |
BR-0000032 | 01-07-2023 | ABC | 0.37 |
BR-0000038 | 01-07-2023 | XYZ | 0.13 |
BR-0000040 | 01-07-2023 | XYZ | 0.08 |
BR-0000045 | 01-07-2023 | XYZ | 0.00 |
BR-0000040 | 01-07-2023 | WBC | 0.08 |
BR-0000045 | 01-07-2023 | WBC | 0.00 |
BR-0000055 | 01-07-2023 | WBC | 0.00 |
BR-0000042 | 01-07-2023 | WBC | 0.08 |
BR-0000043 | 01-07-2023 | WBC | 0.00 |
BR-0000012 | 01-07-2023 | WBC | 0.01 |
BR-0000012 | 01-07-2023 | WBD | 0.00 |
BR-0000035 | 01-07-2023 | WBC | 0.00 |
Table 2 Calendar
Date | FY Year | Month |
01-08-2022 | 2022-23 | Aug |
01-08-2023 | 2023-24 | Aug |
01-07-2022 | 2022-23 | Jul |
01-07-2023 | 2023-24 | Jul |
please need
I hope this message finds you well. I've noticed that this solution remain unresolved. If any of you have managed to find a resolution to the issue, I kindly request that you share your solution for the benefit of the entire community. Alternatively, if you're still facing challenges, please do let us know as well.
Your insights and updates will greatly assist others who might be encountering the same challenge.
Hello @patroriki,
Can you please try:
1. Create Calculated Columns:
FY Year = RELATED('Table2 Calendar'[FY Year])
Month = RELATED('Table2 Calendar'[Month])
2. Create Additional Calculated Columns
MaturityBucketName =
SWITCH(
TRUE(),
[TimeToMaturity] < 2.25, "Under 2.25 years to maturity",
[TimeToMaturity] >= 2.25 && [TimeToMaturity] < 3.25, "Between 2.25 and 3.25 years to maturity",
[TimeToMaturity] >= 3.25, "Above 3.25 years to maturity"
)
MaturityBucketID =
SWITCH(
TRUE(),
[TimeToMaturity] < 2.25, 1,
[TimeToMaturity] >= 2.25 && [TimeToMaturity] < 3.25, 2,
[TimeToMaturity] >= 3.25, 3
)
3. Create a Pivot Table Visualization
Should you require further details or information, please do not hesitate to reach out to me.