Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I have a dataset in below format:
Date Sales Amount
2017/1/1 1,000
2017/1/1 5,000
2017/1/2 7,000
...
So my growth % on 1/2 = (7000-6000)/6000
Similarly, I will have growth % for each day. Now I want to show the average growth % by year and by month. How to achieve it? Thank you!
Solved! Go to Solution.
Hi @qixue,
You can try to use below formula to calculate the DoD growth %:
Measure:
DoD Growth = VAR current_Date = MAX ( 'Table'[Date] ) VAR current_amount = SUMX ( FILTER ( ALL ( 'Table' ), [Date] = current_Date ), [Amount] ) VAR previous_amount = SUMX ( FILTER ( ALL ( 'Table' ), [Date] = current_Date - 1 ), [Amount] ) RETURN DIVIDE ( current_amount - previous_amount, previous_amount, 0 )
>>Similarly, I will have growth % for each day. Now I want to show the average growth % by year and by month. How to achieve it?
You can create a summary table with 'dod growth', then wirite a measure to calcuate the average. After these steps, create a table visual with different date column as the group, you can switch hierarchy levl to get the different average of current level.
Calculate table:
Summary table = VAR summaried = SUMMARIZE ( 'Table', [Date], "Total Amount", SUM ( 'Table'[Amount] ) ) RETURN ADDCOLUMNS ( summaried, "DOD Growth %", [DoD Growth] )
Measure:
AVG DoD = AVERAGE('Summary table'[DOD Growth %])
Regards,
Xiaoxin Sheng
Hi @qixue,
You can try to use below formula to calculate the DoD growth %:
Measure:
DoD Growth = VAR current_Date = MAX ( 'Table'[Date] ) VAR current_amount = SUMX ( FILTER ( ALL ( 'Table' ), [Date] = current_Date ), [Amount] ) VAR previous_amount = SUMX ( FILTER ( ALL ( 'Table' ), [Date] = current_Date - 1 ), [Amount] ) RETURN DIVIDE ( current_amount - previous_amount, previous_amount, 0 )
>>Similarly, I will have growth % for each day. Now I want to show the average growth % by year and by month. How to achieve it?
You can create a summary table with 'dod growth', then wirite a measure to calcuate the average. After these steps, create a table visual with different date column as the group, you can switch hierarchy levl to get the different average of current level.
Calculate table:
Summary table = VAR summaried = SUMMARIZE ( 'Table', [Date], "Total Amount", SUM ( 'Table'[Amount] ) ) RETURN ADDCOLUMNS ( summaried, "DOD Growth %", [DoD Growth] )
Measure:
AVG DoD = AVERAGE('Summary table'[DOD Growth %])
Regards,
Xiaoxin Sheng
Hi,
Share a dataset/download link of your file and also show your expected result.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
109 | |
98 | |
77 | |
66 | |
54 |
User | Count |
---|---|
144 | |
104 | |
100 | |
86 | |
64 |