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.
Dear Team,
Self had created new column as per Indian Fiscal year - months (Apr to Mar) & also added Fiscal year, half year & quarter.
Ex: Please find below data
Invoice Date-----FY Month ----FY Month Desc---FY Quarter...FY Half year....FY--Qty
10/04/2021 ---- 1 --------Apr-----Q1---- H1....FY22 ---100
10/05/2021 ---- 2 --------May-----Q1---- H1....FY22---110
10/06/2021 ---- 3 --------Jun-----Q1---- H1....FY22---90
10/07/2021 ---- 4 --------Jul-----Q2---- H1....FY22---150
10/08/2021 ---- 5 --------Aug-----Q2---- H1....FY22---120
10/09/2021 ---- 6 --------Sep-----Q2---- H1....FY22---140
10/10/2021 ---- 7 --------Oct-----Q3---- H2....FY22---160
10/11/2021 ---- 8 --------Nov-----Q3---- H2....FY22---180
10/04/2020 ---- 1 --------Apr-----Q1---- H1....FY21 ---70
10/05/2020 ---- 2 --------May-----Q1---- H1....FY21---110
10/06/2020 ---- 3 --------Jun-----Q1---- H1....FY21---90
10/07/2020 ---- 4 --------Jul-----Q2---- H1....FY21---160
10/08/2020 ---- 5 --------Aug-----Q2---- H1....FY21---100
10/09/2020 ---- 6 --------Sep-----Q2---- H1....FY21---110
10/10/2020 ---- 7 --------Oct-----Q3---- H2....FY21---150
10/11/2020 ---- 8 --------Nov-----Q3---- H2....FY21---80
10/12/2020 ---- 9 --------Dec-----Q3---- H2....FY21---120
10/01/2021 ---- 10 --------Jan-----Q4---- H2....FY21---110
10/02/2021 ---- 11 --------Feb-----Q4---- H2....FY21---80
10/03/2021 ---- 12 --------Mar-----Q4---- H2....FY21---90
10/04/2019 ---- 1 --------Apr-----Q1---- H1....FY20 ---80
10/05/2019 ---- 2 --------May-----Q1---- H1....FY20---100
10/06/2019 ---- 3 --------Jun-----Q1---- H1....FY20---90
10/07/2019 ---- 4 --------Jul-----Q2---- H1....FY20---110
10/08/2019 ---- 5 --------Aug-----Q2---- H1....FY20---100
10/09/2019 ---- 6 --------Sep-----Q2---- H1....FY20---110
10/10/2019 ---- 7 --------Oct-----Q3---- H2....FY20---130
10/11/2019 ---- 8 --------Nov-----Q3---- H2....FY20---90
10/12/2019 ---- 9 --------Dec-----Q3---- H2....FY20---110
10/01/2020 ---- 10 --------Jan-----Q4---- H2....FY20---100
10/02/2020 ---- 11 --------Feb-----Q4---- H2....FY20---110
10/03/2020 ---- 12 --------Mar-----Q4---- H2....FY20---110
Doubt 1:
Need Graph sorting as per financial year & month & quarter as per fiscal year
Qty should be average for
quarter (qty/3)
half year(qty/6)
year (qty/6)
& not sum
y-axis - Qty
x-axis - Default should show as per FY (Financial year)
If user clicks on specific financial year then should expand has H1 & H2 for that specific financial year.
Once user click on half year - should expand quarter wise
Once user click on quarter - should expand month wise
Note: Qty should be average
Example for X axis expansion
Jul Aug Sept Oct Nov
Q1 Q2 Q1 Q2 Q2
H1 H2 H1 H2
F20 FY21 FY22
Expansion in graph should happen only if click on Year/Half year/ Quarter till month
Also post clicking expansion should reduce to quarter/half/year.
Similar to Pivot.
Doubt 2:
Also confirm how to create table....NOTE: QTY SHOULD BE AVERAGE for quarter/half year/year.
Jul Aug Sept Oct Nov
Q1 Q2 Q1 Q2 Q2
H1 H2 H1 H2
F20 FY21 FY22
Please help in resolving.
Solved! Go to Solution.
Hi, @Anonymous
1. The extension of the quarter month of the fiscal year can be realized through the matrix view.
Fiscal year = RIGHT([FY Half year],4)
2. For qty around be average for quarter / half year / year, I created three measures to calculate.
AVERAGE for quarter =
CALCULATE (
AVERAGE ( 'Table'[Qty] ),
FILTER ( ALL ( 'Table' ), [FY Quarter] = MAX ( 'Table'[FY Quarter] ) )
)
AVERAGE for half year =
CALCULATE (
AVERAGE ( 'Table'[Qty] ),
FILTER ( ALL ( 'Table' ), [FY Half year] = MAX ( 'Table'[FY Half year] ) )
)
AVERAGE for year =
CALCULATE (
AVERAGE ( 'Table'[Qty] ),
FILTER ( ALL ( 'Table' ), [Fiscal year] = MAX ( 'Table'[Fiscal year] ) )
)
If the method I provided above can't solve your problem, what's your expected result? Can you use pictures to show your expected results? I hope I can help you and look forward to your reply.
Best Regards,
Community Support Team _Charlotte
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @Anonymous
1. The extension of the quarter month of the fiscal year can be realized through the matrix view.
Fiscal year = RIGHT([FY Half year],4)
2. For qty around be average for quarter / half year / year, I created three measures to calculate.
AVERAGE for quarter =
CALCULATE (
AVERAGE ( 'Table'[Qty] ),
FILTER ( ALL ( 'Table' ), [FY Quarter] = MAX ( 'Table'[FY Quarter] ) )
)
AVERAGE for half year =
CALCULATE (
AVERAGE ( 'Table'[Qty] ),
FILTER ( ALL ( 'Table' ), [FY Half year] = MAX ( 'Table'[FY Half year] ) )
)
AVERAGE for year =
CALCULATE (
AVERAGE ( 'Table'[Qty] ),
FILTER ( ALL ( 'Table' ), [Fiscal year] = MAX ( 'Table'[Fiscal year] ) )
)
If the method I provided above can't solve your problem, what's your expected result? Can you use pictures to show your expected results? I hope I can help you and look forward to your reply.
Best Regards,
Community Support Team _Charlotte
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Dear Team,
Regret for delay in my response.
I want to populate Month Wise Data & Quartely data (in TPM) - 3 months qty/3.
Then apply graph for entire data set & filter quarters or months as required.
Self not able to attach excel sheet or take pic of graph
I had build seperate report in excel using sumifs & applied graphs. How to do similarly in power bi.
Also confirm how build report with sumifs or other formulas in one sheet & apply graphs for same data similar to excel
FY22 | FY22 | FY22 | FY22 | FY22 | FY22 | FY22 | FY22 | FY22 | ||||
Business Unit | Q4 FY21 | Apr | May | Jun | Q1 FY22 | Jul | Aug | Sep | Q2 FY22 | Oct | Nov | Dec |
BCM | 63033 | 53764 | 53498 | 59881 | 55714 | 63365 | 64076 | 66053 | 64498 | 66685 | 64489 | 75176 |
Kovai | 9300 | 9137 | 8536 | 7405 | 8359 | 9770 | 9534 | 9126 | 9477 | 9511 | 9380 | 11021 |
All of that is standard Matrix visual functionality. What have you tried and where are you stuck?
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 |
---|---|
105 | |
97 | |
75 | |
63 | |
62 |
User | Count |
---|---|
137 | |
105 | |
104 | |
80 | |
63 |