I am using a slicer to determine a certain periode of time (e.g. 01.10.19 - 31.10.19) and now I want Power Bi to calculate how many days are included (in this case it would be: 31). Of course the calculation needs to be updated every time I use the slicer. Is there any possibility to do so? I have literally no idea...
Create a measure to calculate the difference between the max and min dates in your date table, which is filtered by this slicer. You can use DATEDIFF function for that. In this case the number of days will be calculated as:
Number of days = DATEDIFF(MIN('Calendar'[Date]); MAX('Calendar'[Date]); DAY) + 1
Related
I am trying to create a Dynamic Table in Power BI.
I have my set of data, and basically I want the calendar to pick up the minimum date and the maximum date from my table, but only if the maximum date is not the month of today. If the maximum date is the month of today, then it should ignore it and the calendar should be created with the max date of the previous month.
I started the formula, but can't seem to continue it. Any ideas?
Calendar_= CALENDAR(MIN('Table1'[Date]),IF(MONTH(MAX('Table1'[Date]))=MONTH(TODAY()),date(YEAR(MAX('Table1'[Date])),.....
See if this post helps: https://community.powerbi.com/t5/Desktop/Dynamic-table-or-on-fly-table-generation-via-DAX/m-p/434397#M200275. If not, I would simplify by creating some additional calculated columns or measures and then reference those instead of one nice big formula
I need to find one way or another the following formula in Power BI:
Total Hours of Use of a Machine = Hours Function * Range of Functioning
where Hours Function is the hours of use of a certain machine. Take it at a cost that for each machine is a constant and Range of Functioning is the difference between the final date of the evaluation and the initial date, measured in hours.
For example, I want to measure the Total Hour Use of a Machine in between 15/10/2019 and 14/20/2019. So the math is the following:
Assume: 2 machines
Hours Function machine A: 6
Hours Function machine B: 9
Range of Functioning = 15/10/2019 - 14/10/2019 = 24 hours
The output:
Total Hours of Use of a Machine A: 144
Total Hours of Use of a Machine B: 216
I need to do that in Power BI in a way that any user moving a slicer of date, refresh the Total Hours of Use of a Machine.
I don't find any way that I can get the difference between the final date of the evaluation and the initial date and put in DAX or a new column.
You have to use measures if you want to recalculate the value when you change the date with a slicer.
The first step is to be sure to be able to calculate the number of day selected by your slicer.
It seems to be easy but if you use the function FirstDate on your calendar table directly integrated in PowerBI.
You'll never have what you expect.
The tricks here to get this number of day is to calculate the number of rows in your calendar table with the function countrows.
When you have this number day you just have to multiply this by 24 ( hours) and by the sum of your "Hours Function machine".( 6 for A 9 for B in your example )
( It's important to use the sum or another aggregate function like average because if you have multiple value the measure fall in error because it need only one value to multiply).
The dax formula looks like :
= COUNTROWS(('Calendar')) * Sum(Machine[Hours function])
You can then display this measure filtered by the Machine Name and a date slicer(based on your calendar table).
I'm using DAX DateDiff in Power BI to calculate the number of days between two dates, like this:
DaysDiff = DATEDIFF('MyTable'[Sales Order Date],
'MyTable'[Paid Date],DAY)
The formula is however returning some odd looking results, such as:
I would expect to see the actual number of days between the dates. For example, the number of days between 3/31/2017 and 12/4/2017 should be 248.
Both source columns are formatted as dates, and appear in the actual data as shown here.
How should the difference be calculated? I also tried a different formulation, which returns the same result:
DayDiff = 1.* ('MyTable'[Paid Date]-'MyTable'[Sales Order Date])
From the hint of the DaysDiff, my guess is that you have multiple records with same Sales Order Date and Paid Date, and Power BI has aggregated (default Sum) the results of all to one number.
If you change the summarization to either Average/Minimum/Maximum it should work fine.
I am attempting to calculate the most recent 6-Month STDEVX.P (not including the current month; so in May 2017, I'd like to the STDEVX.P for periods Nov 2016 - Apr 2017) for sales by product in order to further calculate variation in sales orders.
The Sales Data is made up of daily transactions so it contains transaction date: iContractsChargebacks[TransactionDate] and units sold: iContractsChargebacks[ChargebackUnits], but if there are no sales in a given period, then there will be no data for that month.
So, for example, on July 1st, sales for the past 6 months were the following:
Jan 100
Feb 125
Apr 140
May 125
Jun 130
March is missing because there were no sales. So, when I calculate STDEVX.P on the data set, it is calculating it over 5 periods, when in fact there were 6, just one happens to be zero.
At the end of the day, I need to calculate STDEVX.P for the current six month period. If when pulling the monthly sales numbers, it only comes back with 3 periods(months), then it needs to assume the other 3 periods with a zero value.
I thought about manually calculating standard deviation instead of using the DAX STDEVX.P formula and found these 2 links as a reference on how to do so, the first being closest to my need:
https://community.powerbi.com/t5/Desktop/Problem-with-STDEV/td-p/19731
Calculating the standard deviation from columns of values and frequencies in Power BI...
I attempted to make a go of it, but still am not getting the correct calculation. My code is:
STDEVX2 =
var Averageprice=[6M Sales]
var months=6
return
SQRT(
DIVIDE(SUMX(
FILTER(ALL(DimDate),
DimDate[Month ID]<=(MAX(DimDate[Month ID])-1) &&
DimDate[Month ID]>=(MAX(DimDate[Month ID])-6)
),
(iContractsChargebacks[SumOfOrderQuantity]-Averageprice)^2),
months
)
)
*note: Instead of using date parameters in the code, I created a calculated column in the date table that gives each Month a unique ID, makes it easier for me.
Your question would definitely be easier to answer with more explanation regarding your model. E.g. how you defined [SumOfOrderQuantity] and [6M Sales], since a mistake there could definitely impact the final result. Also, knowing what the result you're seeing is vs. the result you expect would be helpful (using sample data).
My guess, however, is that your DimDate table is a standard date table (with one row per date), but you want standard deviation by month.
The FILTER statement in your formula limits the date range to the prior 6 full months correctly, but it will still have one row per date. You can confirm this in Power BI by going into the Data View, selecting 'New Table' under Modeling on the ribbon, and putting your FILTER statement in:
Table = FILTER(ALL(DimDate),
DimDate[MonthID]<=(MAX(DimDate[MonthID])-1) &&
DimDate[MonthID]>=(MAX(DimDate[MonthID])-6))
Assuming you have more than one day of sales for a given month, calculating the variance by day rather than by month is going to mess things up.
What I'd suggest trying:
Table = FILTER(SUMMARIZE(ALL(DimDate),[MonthID]),
DimDate[MonthID]<=(MAX(DimDate[MonthID])-1) &&
DimDate[MonthID]>=(MAX(DimDate[MonthID])-6))
The additional SUMMARIZE statement means that you only get one row for each MonthID, rather than 1 row for each date. If your [6M Sales] is the monthly average across all 6 months, and [SumOfOrderQuantity] is the monthly sum for each month, then you should be set to go calculating the variance, squaring, dividing by 6, and square rooting.
If you need to do further troubleshooting, remember you can put a table on your canvas with MonthID, SumOfOrderQuantity and [6M Sales] and compare the numbers you expect at each stage of the calculation with the numbers you're seeing.
Hope this helps.
I was facing a similar problem while trying to calculate the coefficient of variation (Std. /Mean) by SKUS from sales data. I could use the Pivot-Unpivot function in Power Query editor to to do away with the problem of months with missing sales:
1) Export the data with any calculated columns
2) Reimport the data so that the calculated columns are also available in the power query editor
3) Pivoted the data by months
4) Replaced null values with 0s
5) Unpivoted the data
6) Close and apply the query
7) Add a calculated column for the coefficient of variation using the formula
CV = CALCULATE(STDEV.P(Table1[Value]),ALLEXCEPT(Table1,Table1[Product]))/CALCULATE(AVERAGE(Table1[Value]),ALLEXCEPT(Table1,Table1[Product]))
Thus zero sales for the missing months will also be considered both for Standard Deviation and Mean.
I would like to create a calculated column or measure that shows the time elapsed in any given month. Preferably as a percentage.
I need to be able to compare productivity (rolling total) over a month's period between different months.So creating a percentage of time passed in a month would put every month on a level playing field.
Is there a way to do this?
Or is there a better way to compare productivity between 2 months on a rolling basis?
EDIT
I am graphing sales on a cumulative basis. Here is a picture of my graph to demonstrate.[][
Ideally I would like to be able to graph another person's sales on the same graph for a different month to compare.
The problem is each month is different and I don't think power bi allows much customization of the axes.
So I figured a potential solution would be to convert months to percentages of time passed, create two separate graphs and place them on top of each other to show the comparison of sales.
Using percentages doesn't sound right here: one person's "productivity" in February will appear lower than another person's productivity in March just because February has 3 less days.
Just use [Date].[Day].
To answer the original question (even though it shouldn't be used for this), month progress percentage calculated column:
MonthProgress% =
var DaysinMonth = DAY(
IF(
MONTH(MyTable[date]) = 12,
DATE(YEAR(MyTable[date]) + 1,1,1),
DATE(YEAR(MyTable[date]), MONTH(MyTable[date]) + 1, 1)
) - 1
)
return MyTable[date].[Day]/DaysinMonth*100
Also check DAX functions PARALLELPERIOD and DATEADD.
This is the solution I settled on.
I customized the ranges for the x and y axes so they match.
For the y-axis, I simply put the range from 0 to 50+ our highest month.
For the x-axis, I created a column with the DAY function so I got a number assigned to each day of the month which allowed me to manually set the chart range from 0 to 31. I have asked another question on how to only get workdays.