Preserve original time value in Power BI - powerbi

I need to select the earliest date and time, as well as the latest date and time from a group of rows in Power BI into a new column. However, when I use the MAX() or MIN() functions, I lose the time part of the original column (e.g., if the original value is 8/22/2018 10:39:00, the new value in the new column after applying MAX() is 8/22/2018 00:00:00).

The MAX and MIN functions do not strip the time component. However, you need to make sure your new column is using a Date/Time data type rather than a Date type. Check that it is set properly under the Modeling tab:

The LASTDATE and FISTDATE functions of dax can be also used to get the datetime values as min and max of a column with the date and time format. Can check an example of FISTDATE function on link (
https://msdn.microsoft.com/en-us/query-bi/dax/firstdate-function-dax)

Related

Converting decimal time to hours to plot a 24-hour timeline chart in power bi

hope you're doing well.
I'm a newbie to PowerBI and I'd want to convert the decimal time/date column values into hours of the time to plot the info over a 24-hour timeline. I was able to achieve this in tableau and as it automatically detects the hours and can easily be able to plot the info. I was a bit close in achieving this in powerBI as I converted the date/time column to time and tried plotting but there's huge noise and looks more cluttered as it took every change in seconds/minutes (the bottom snippet). I've attached the snippets for reference, can anyone pls try to help me on this ?
In Power BI it's recommended to split the DateTime column into separate Date and Time columns. This is both for performance reasons. Over a year a DateTime column with 1sec granularity can have 30M different values, which is much more data than storing one column with 365 values, and one with 86,400 values. And so that your Date column can link to a Date Dimension to provide other DateTime hierarchy attributes, like FiscalQuarter, DayOfWeek, etc.
In Power Query select the DateTime column and go to --> Add Column --> Time -- > Time Only. Then change the data type of the DateTime column to Date.
This also solves your reporting problem as you can simply put the Time column on the X axis.
If you want a custom format string for the time you can add a calculated column in Power Query like
= Table.AddColumn(#"Changed Type1", "TimeDesc", each DateTime.ToText(#date(2020,1,1)&[Time], [Format="h tt"]))
And configure the new column with a "Sort by Column" of Time.

Dynamic filtering based on selected value in slicer in Power BI

I am trying to create a calculated table where the data is being taken from another table and calculating the average based on the username, total average and variance between the 2 of these columns.
To create a table, I used the below DAX in Power BI which calculated the average based on the username.
scanner_speed_average_calculation =
SUMMARIZE(scanner_speed
,scanner_speed[user_name]
,"Average"
,AVERAGE(scanner_speed[order_processed]))
To calculate the group_average I used the below DAX:
group_average =
SUMMARIZE(
scanner_speed
, "Group Avg"
, average(scanner_speed[order_processed]))
And finally to calculate the variance, I used this query:
Variance = scanner_speed_average_calculation[Average] - scanner_speed_average_calculation[group_average]
Below is an outcome of these calculations.
I want to be able to make these calculations dynamic based on the selected value from the date. The table where I am taking these calculations do have the date value. I want to be able to use date range in slicer and I want these values to change based on the selected date range. I tried few things with Filter, Selectedvalue but I am not sure if I used them correctly.
Below is a main table where I took all these calculations from.
Below is a visual of where I want to group_average and variance. I want to be able to use date range and these columns should change accordingly.
Any idea or help will be appreciated. If possible then please put the entire formula. I am still a newbie in the world of DAX. Thanks in advance
power bi file
If you want a calculation to depend on a slicer, you need a Measure, not a calculated column or calculated table. Calculated columns and calculated tables are generated on refresh and physically stored in your model, so the slicers can filter them, but the slicers can't change the value of the calculations.
Measures are not persisted, but are calculated as needed based on changes to filters and slicers.
If you simply add add a measure
AverageOrdersProcessed := AVERAGE(scanner_speed[order_processed])
and put that on a visual that groups by user_name, you will get a the AVERAGE(scanner_speed[order_processed]) for each `user_name'.

Power BI calculate dates in between 2 or more dates in a single column

The first table is dummy data I created which explains about my database, Second bottom table is the result I want to see
Firstly, the most important point is that the DATE&TIME column is set as a date field. Only Date, not Date/Time.
You can create new column for Date variable or replace existing DATE&TIME column.
Secondly, you must to create a new measure for Status count.
Finally, I use to Matrix visualization.

Power BI DAX Dynamic Calendar

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

Cant measure from date column

I'm trying to count days between a date from the column 'completionDate' and today
The table name is 'Incidents (2)'
I have a simuler table called 'incidents' here it's working.
The code:
DaysClosed = DATEDIFF('Incidents (2)'[completionDate].[Dag];TODAY();DAY)
The error i get:
'A single value for variaton 'Dag' for column 'completionDate' in table 'Incidents (2)' cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result.'
The error you get strongly depends on how you are evaluating your formula, that's why it might work on another table but not on this one. As #JBfreefolks pointed out correctly you are specifying a column where a scalar value is expected. That can work depending on the context you are evaluating your formula over (assuming it is a measure).
For instance, imagine a data-set with 100 rows equally divided into four categories A,B,C,D. When you create a table visual with a row for each category, each row will have 25 underlying records that will be used in any calculation added to this row (either a measure or an aggregate of any value). This means that when using a formula like datediff with a column reference, it will get 25 values for it's second argument where it expects one.
There are several ways to solve the problem depending on your desired result.
Use a measure like MAX like #JBfreefolks suggested to make sure that a single value is selected from multiple values. The measure will still be calculated over a group of records but will summarize it by taking the maximum date.
Make sure the visual you are using has something like an ID in there so it doesn't group, it displays row context. Any measure added to this visual will evaluate in row context as well.
Use a calculated column instead. They are always evaluated in row context first and their values can be aggregated in a visual later on. When using TODAY() , you probably need to refresh your report at least every day to keep the column up to date.
A more complicated way is to use an iterator like SUMX() or AVERAGEX() to force row context evaluation inside of a measure.
Good to see you solved it already, still posting as it might be helpful to others.
'Incidents (2)'[completionDate].[Dag] referencing a colomn. It is in your computation returning a table (multiple date in the evaluation context) instade of a scalar needed in DATEDIFF calculation.
You need to leverage to be sure that 'Incidents (2)'[completionDate].[Dag] is rturning a scalar value. To do that you can leverage rowcontext and then also formula like Max.