![TODAY: TODAY()
NOW: NOW()
YEAR: YEAR('Table'[Date])
MONTH: MONTH(‘Table'
[Date])
DAY: DAY ('Table'[Date])
DATEDIFF: DATEDIFF('Table'
[StartDate], 'Table'
[EndDate], DAY)
EOMONTH: EOMONTH('Table'
[Date],0)
FORMAT: FORMAT('Table'
[Date], “yyyy-mm-dd”)](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-2-320.jpg)
![CONCATENATE: CONCATENATE(
'Table' [Text1],'Table'
[Text2])
LEFT: LEFT('Table'[Text], 3)
RIGHT: RIGHT('Table' [Text], 5)
LEN: LEN('Table'[Text])
UPPER: UPPER( 'Table' [Text])
LOWER: LOWER('Table' [Text])
TRIM: TRIM('Table'[Text])
SEARCH: SEARCH("keyword"',
'Table'[Text])
CONTAINSSTRING: CONTAINSSTRING(
'Table' [Text], "keyword")
LEFT: LEFT ('Table' [Text], 3)
RIGHT: RIGHT( 'Table' [Text],3)](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-3-320.jpg)
![IF: IF( 'Table'[Column] >
10, "Yes", "No")|
AND: AND('Table'[Column1] >
5, 'Table'[Column2] < 10)
OR: OR('Table' [Column1] >
5, 'Table' [Column2] < 10)
NOT: NOT( 'Table' [Flag]) |
SWITCH: SWITCH('Table'
[Category],"A",1,"B",2,0)](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-4-320.jpg)
![AVERAGEX: AVERAGEX(
'Table', 'Table' [Column])
COUNT: COUNT ( 'Table'
(Column]) |
COUNTA: COUNTA (' Table'
[Column])
COUNTAX: COUNTAX( 'Table',
'Table' [Column])
STDEV.P: STDEV.P( 'Table'
[Column])
VAR.P: VAR.P( 'Table'
(Column])](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-5-320.jpg)
![SUMX: SUMX(Sales,
Sales[Quantity] *
Sales[Price])
AVERAGE: AVERAGE ( 'Table'
[Column ])
MIN: MIN('Table'[Column])
MAX: MAX('Table' [Column])
ROUND: ROUND('Table'
[Number], 2)
ABS: ABS('Table'[Number])
EXP: EXP(
'Table'[Exponent])
LOG: LOG('Table'[Number],10](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-6-320.jpg)
![TOTALYTD: TOTALYTD(SUM ('Table' [Sales]),
'Date'[Date])
SAMEPERIODLASTYEAR: CALCULATE(SUM('Table'
[Sales]).
SAMEPERIODLASTYEAR ('Date' [Date]) )
YTD: CALCULATE (SUM('Table' [Sales]),
ALL('Date'), 'Date' [Date] <= MAX ( 'Date'
[Date]) )
QUARTER: QUARTER('Date' [Date])
MONTH: MONTH 'Date' [Date])
WEEKDAY: WEEKDAY ('Date' [Date], 2)
CALENDAR: CALENDAR (DATE (2023, 1, 1),
DATE(2023, 12, 31))
DATESBETWEEN: DATESBETWEEN( 'Date' [Date],
DATE(2022, 1, 1), DATE (2022, 12, 31))
TOTALMTD: TOTALMTD(SUM( 'Table' [Sales]),
'Date' [Date])
FIRSTDATE: FIRSTDATE ('Date' [Date])
LASTDATE: LASTDATE (('Date' [Date])](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-7-320.jpg)
![PV: PV(0.05, 10, 1000, 0, 0)
FV: FV(0.05, 10, -100, 0, 0)
MPV: NPV(0.1, CashFlow1,
CashFlow2, CashFlow3)
IRR: IRR(CashFlows)
TOTALYTD: TOTALYTD(SUM(
'Table' [Revenue]), 'Date'
[Date])
CLOSINGBALANCEMONTH:
CLOSINGBALANCEMONTH ( 'Table'
[Revenue],'Date' [Date])
OPENINGBALANCEMONTH:
OPENINGBALANCEMONTH (' Table'
[Revenue],'Date'[Date])](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-9-320.jpg)
![RANKX: RANKX('Table',
'Table' [Sales], , DESC)
TOPN: TOPN(5, 'Table',
'Table'[Sales], DESC)
RANK.EQ: RANK.EQ( 'Table'
[Sales], 'Table' [Sales],
DESC)](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-10-320.jpg)
![T.TEST: T. TEST('Group' [Data],
'Group2' [Data], 2, 1)
ANOVA: ANOVA( 'Table' [Values],
'Table' [Category])
CHISQ. DIST: CHISQ. DIST (3.84,
2, FALSE)
PERCENTILE.INC: PERCENTILE. INC(
'Table' [Values], 0.75)
PERCENTILE.EXC: PERCENTILE.
EXC('Table' [Values], 0.75)
RANK. AVG: RANK. AVG( 'Table'
[Sales], 'Table' [Category], 1)
KEEPFILTERS:
KEEPFILTERS(CALCULATE (SUM(
'Table' [Sales]), 'Table'
[Category] = "A"))](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-11-320.jpg)
![VALUES: VALUES('Table'[Column ])
ALLSELECTED: ALLSELECTED('Table')
ADDCOLUMNS: ADDCOLUMNS ('Table',
"Revenue", 'Table' [Quantity] * 'Table'
[Price])
SUMMARIZE: SUMMARIZE ('Table', 'Table'
[Category], "Total Sales", SUM( 'Table'
[Sales]))
ROLLUP: ROLLUP('Date', 'Date' [Year],
'Date' [Quarter], 'Date' [Month])
KEEPFILTERS: KEEPFILTERS
(CALCULATETABLE('Table', 'Table'
[Column] > 100))
SELECTCOLUMNS: SELECTCOLUMNS( 'Table',
'Table' [Column1], 'Table' [Column2])
SUMMARIZECOLUMNS: SUMMARIZECOLUMNS(
'Table' [Column1], 'Table' [Column2],
"Total Sales", SUM(‘Table’[Sales]))](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-12-320.jpg)
![PATH: PATH('Table', 'Table'
[ParentID], 'Table' [ID])
PATHITEM: PATHITEM('Table'
[Path], 1)
PATHLENGTH: PATHLENGTH('Table'
[Path])
ISFILTERED: IF(ISFILTERED
('Table' [Column]), "Filtered",
"Not Filtered")](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-13-320.jpg)
![PREDICT: PREDICT('Table', 'Table'
[Value], FILTER('Table', 'Table'
[Date] > DATE(2022, 1, 1)))
COVARIANCE.P: COVARIANCE.P(
'Table1' [Values], 'Table2'
[Values])
CORRELATION: CORRELATION(
'Table1'[Values], 'Table2'[Values])
RANK.EQ: RANK.EQ( 'Table' [Sales],
'Table' [Sales], DESC,'Table'
[Category])
PREDICT: PREDICT('Table', 'Table'
[Value], FILTER('Table','Table'
[Date] > DATE(2022, 1, 1)))
COVARIANCE.P: COVARIANCE.P('Table1'
[Values], 'Table2' [Values])](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-14-320.jpg)
![ISBLANK: IF (ISBLANK ('Table'
[Column]), "Blank", "Not
Blank")
ISERROR: IF(ISERROR(1/0),
"Error", "No Error")
TYPEOF: TYPEOF ( 'Table'
[Column], INTEGER)](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-15-320.jpg)
![ISBLANK: IF (ISBLANK ('Table'
[Column]), "Blank", "Not
Blank")
ISERROR: IF(ISERROR(1/0),
"Error", "No Error")
TYPEOF: TYPEOF ( 'Table'
[Column], INTEGER)](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-16-320.jpg)
![EARLIER: CALCULATE (SUM(
'Table' [Sales]), 'Table'
[Date] = EARLIER ('Table'
(Date]) - 1)
FILTERS: FILTERS( 'Table'
[Category])
USERELATIONSHIP:
USERELATIONSHIP(' Table1'
[Column], 'Table2'
[Column])](https://image.slidesharecdn.com/powerbicheatsheet-250705141755-423f3311/85/Power-BI-Cheat-Sheet-help-to-improve-your-power-BI-17-320.jpg)
Power BI Cheat Sheet help to improve your power BI
- 2. TODAY: TODAY() NOW: NOW() YEAR: YEAR('Table'[Date]) MONTH: MONTH(‘Table' [Date]) DAY: DAY ('Table'[Date]) DATEDIFF: DATEDIFF('Table' [StartDate], 'Table' [EndDate], DAY) EOMONTH: EOMONTH('Table' [Date],0) FORMAT: FORMAT('Table' [Date], “yyyy-mm-dd”)
- 3. CONCATENATE: CONCATENATE( 'Table' [Text1],'Table' [Text2]) LEFT: LEFT('Table'[Text], 3) RIGHT: RIGHT('Table' [Text], 5) LEN: LEN('Table'[Text]) UPPER: UPPER( 'Table' [Text]) LOWER: LOWER('Table' [Text]) TRIM: TRIM('Table'[Text]) SEARCH: SEARCH("keyword"', 'Table'[Text]) CONTAINSSTRING: CONTAINSSTRING( 'Table' [Text], "keyword") LEFT: LEFT ('Table' [Text], 3) RIGHT: RIGHT( 'Table' [Text],3)
- 4. IF: IF( 'Table'[Column] > 10, "Yes", "No")| AND: AND('Table'[Column1] > 5, 'Table'[Column2] < 10) OR: OR('Table' [Column1] > 5, 'Table' [Column2] < 10) NOT: NOT( 'Table' [Flag]) | SWITCH: SWITCH('Table' [Category],"A",1,"B",2,0)
- 5. AVERAGEX: AVERAGEX( 'Table', 'Table' [Column]) COUNT: COUNT ( 'Table' (Column]) | COUNTA: COUNTA (' Table' [Column]) COUNTAX: COUNTAX( 'Table', 'Table' [Column]) STDEV.P: STDEV.P( 'Table' [Column]) VAR.P: VAR.P( 'Table' (Column])
- 6. SUMX: SUMX(Sales, Sales[Quantity] * Sales[Price]) AVERAGE: AVERAGE ( 'Table' [Column ]) MIN: MIN('Table'[Column]) MAX: MAX('Table' [Column]) ROUND: ROUND('Table' [Number], 2) ABS: ABS('Table'[Number]) EXP: EXP( 'Table'[Exponent]) LOG: LOG('Table'[Number],10
- 7. TOTALYTD: TOTALYTD(SUM ('Table' [Sales]), 'Date'[Date]) SAMEPERIODLASTYEAR: CALCULATE(SUM('Table' [Sales]). SAMEPERIODLASTYEAR ('Date' [Date]) ) YTD: CALCULATE (SUM('Table' [Sales]), ALL('Date'), 'Date' [Date] <= MAX ( 'Date' [Date]) ) QUARTER: QUARTER('Date' [Date]) MONTH: MONTH 'Date' [Date]) WEEKDAY: WEEKDAY ('Date' [Date], 2) CALENDAR: CALENDAR (DATE (2023, 1, 1), DATE(2023, 12, 31)) DATESBETWEEN: DATESBETWEEN( 'Date' [Date], DATE(2022, 1, 1), DATE (2022, 12, 31)) TOTALMTD: TOTALMTD(SUM( 'Table' [Sales]), 'Date' [Date]) FIRSTDATE: FIRSTDATE ('Date' [Date]) LASTDATE: LASTDATE (('Date' [Date])
- 8. NORM. DIST: NORM. DIST (1.96, 0, 1, TRUE) NORM. INV: NORM. INV (0.95, 0, 1) BINON. DIST: BINOM. DIST(3, 10, 0.5, FALSE) POISSON. DIST: POISSON. DIST(2, 5, FALSE)
- 9. PV: PV(0.05, 10, 1000, 0, 0) FV: FV(0.05, 10, -100, 0, 0) MPV: NPV(0.1, CashFlow1, CashFlow2, CashFlow3) IRR: IRR(CashFlows) TOTALYTD: TOTALYTD(SUM( 'Table' [Revenue]), 'Date' [Date]) CLOSINGBALANCEMONTH: CLOSINGBALANCEMONTH ( 'Table' [Revenue],'Date' [Date]) OPENINGBALANCEMONTH: OPENINGBALANCEMONTH (' Table' [Revenue],'Date'[Date])
- 10. RANKX: RANKX('Table', 'Table' [Sales], , DESC) TOPN: TOPN(5, 'Table', 'Table'[Sales], DESC) RANK.EQ: RANK.EQ( 'Table' [Sales], 'Table' [Sales], DESC)
- 11. T.TEST: T. TEST('Group' [Data], 'Group2' [Data], 2, 1) ANOVA: ANOVA( 'Table' [Values], 'Table' [Category]) CHISQ. DIST: CHISQ. DIST (3.84, 2, FALSE) PERCENTILE.INC: PERCENTILE. INC( 'Table' [Values], 0.75) PERCENTILE.EXC: PERCENTILE. EXC('Table' [Values], 0.75) RANK. AVG: RANK. AVG( 'Table' [Sales], 'Table' [Category], 1) KEEPFILTERS: KEEPFILTERS(CALCULATE (SUM( 'Table' [Sales]), 'Table' [Category] = "A"))
- 12. VALUES: VALUES('Table'[Column ]) ALLSELECTED: ALLSELECTED('Table') ADDCOLUMNS: ADDCOLUMNS ('Table', "Revenue", 'Table' [Quantity] * 'Table' [Price]) SUMMARIZE: SUMMARIZE ('Table', 'Table' [Category], "Total Sales", SUM( 'Table' [Sales])) ROLLUP: ROLLUP('Date', 'Date' [Year], 'Date' [Quarter], 'Date' [Month]) KEEPFILTERS: KEEPFILTERS (CALCULATETABLE('Table', 'Table' [Column] > 100)) SELECTCOLUMNS: SELECTCOLUMNS( 'Table', 'Table' [Column1], 'Table' [Column2]) SUMMARIZECOLUMNS: SUMMARIZECOLUMNS( 'Table' [Column1], 'Table' [Column2], "Total Sales", SUM(‘Table’[Sales]))
- 13. PATH: PATH('Table', 'Table' [ParentID], 'Table' [ID]) PATHITEM: PATHITEM('Table' [Path], 1) PATHLENGTH: PATHLENGTH('Table' [Path]) ISFILTERED: IF(ISFILTERED ('Table' [Column]), "Filtered", "Not Filtered")
- 14. PREDICT: PREDICT('Table', 'Table' [Value], FILTER('Table', 'Table' [Date] > DATE(2022, 1, 1))) COVARIANCE.P: COVARIANCE.P( 'Table1' [Values], 'Table2' [Values]) CORRELATION: CORRELATION( 'Table1'[Values], 'Table2'[Values]) RANK.EQ: RANK.EQ( 'Table' [Sales], 'Table' [Sales], DESC,'Table' [Category]) PREDICT: PREDICT('Table', 'Table' [Value], FILTER('Table','Table' [Date] > DATE(2022, 1, 1))) COVARIANCE.P: COVARIANCE.P('Table1' [Values], 'Table2' [Values])
- 15. ISBLANK: IF (ISBLANK ('Table' [Column]), "Blank", "Not Blank") ISERROR: IF(ISERROR(1/0), "Error", "No Error") TYPEOF: TYPEOF ( 'Table' [Column], INTEGER)
- 16. ISBLANK: IF (ISBLANK ('Table' [Column]), "Blank", "Not Blank") ISERROR: IF(ISERROR(1/0), "Error", "No Error") TYPEOF: TYPEOF ( 'Table' [Column], INTEGER)
- 17. EARLIER: CALCULATE (SUM( 'Table' [Sales]), 'Table' [Date] = EARLIER ('Table' (Date]) - 1) FILTERS: FILTERS( 'Table' [Category]) USERELATIONSHIP: USERELATIONSHIP(' Table1' [Column], 'Table2' [Column])