I have rows of data based on dates and employee details.
For eg, I have date column, employee ID and Prokect ID. The data is from january 1st to january 22nd.
I want to compare each dates data and see if there is any change in the employees ID for the next date.
If i have 200 employees on january 1 and 203 employees on january 2, I need to show the difference as 3 in the new column.
How can i do the row comparison and do this calculation?
Related
I was wondering if this is possible in Power BI, I am extremely new to this and I am trying to relate how a sql query can translate in to a power bi report.
SELECT
expiresDate,
Name,
Addr,
ValidFrom,
ValidTo,
ChildName,
ChildValidFrom,
ChildValidTo,
RecValidFrom,
RecValidTo
FROM Table
WHERE expiresDate Between <date1> and <date2>
AND <Date3> BETWEEN ValidFrom AND ValidTo
AND <Date3> BETWEEN ValidFrom AND ValidTo
AND <Date3> BETWEEN ValidFrom AND ValidTo
A brief explanation. The report is for 3 months in advance. So in August the report is for September <date1 = 01/09/2021) and October (date2 = 31/10/2021) data. However the data can change on a daily basis. So this depends on Date3 which could be any day in August.
I have created a table that is a calendar and has the additional columns that calculate the start and end dates from a particular date. I just can't work out how to relate this to the dataset which is the query without the WHERE. I would then want the filters to be able to determine the result. Ultimately as I have it at present a single date that will then get the dates from the start and end dates as described earlier. Or display by range using the latest iteration of the record to display.
For example, First part of table
expiresDate
AccNo
Name
Addr
ValidFrom
ValidTo
ChildName
2021-10-01
1
Robert
1 Here
2019-01-01
2021-08-16
Cheese
2021-10-01
1
Robert
1 Here
2019-01-01
2021-08-16
Rhubarb
2021-10-01
1
Bob
1 Here
2021-08-17
2020-08-23
Rhubarb
Second half of table
ChildValidFrom
ChildValidTo
RecValidFrom
RecValidTo
2019-01-01
2021-08-10
2019-19-01
2020-12-31
2021-08-11
2021-08-23
2021-01-01
2021-08-15
2021-08-11
2021-08-23
2021-08-16
2020-08-23
The table is a view which has squashed the data to unique records and when the changes occurred. The dataset is considerably lower, a record count from 10m to 54k.
The requirement is that all To - From dates are within the date specified. Either being a date in the calendar that is entered as a filter... or today.
The report would bring out all records that have an expiryDate greater than 1 calendar month of the date, and less than 3 calendar months. I am just using August dates for the example so this would be from the 01/09/2021 - 31/10/2021.
If I use date 2021-08-01.
In my example there are 3 results for AccNo 1, but Only 1 should be displayed.
If I use the date 2021-08-01 the first row would be displayed.
If I use the date 2021-08-12 the second row should displayed.
If I use the date 2021-08-23 the third row should displayed.
Because the date used should fall between the date range of all 3 criteria
ValidFrom - ChildValidTo
ChildValidFrom - ChildValidTo
RecValidFrom - RecValidTo
Any help would be greatly appreciated. This is extremely frustrating, but I can understand that if this is possibly that this would make a nice visual for the users to check through their data based on entering a date.
Many thanks
I have 2 date column in my table ie entrydate and exitdate and also containerno column and 1 seperate date table in power bi.
Now the case is -
I have 1 date slicer in report.
Need to count no of days in monthly basis.
Eg if my container enter in 20-nov-2020 and exitdate is 5-Dec-2020
So when we select 26-nov-2020 in my date slicer then
Required output is 6 days.
Means then my selected date will become my exitdate.
And when we select 1-dec-2020 to 10-dec-2020 then
Output is 5 days
So my entry and exit date can be dynamic based on selected date by comparing with entrydate and exitdate
I have a table containing a date field (from 1 March 2020 to now) that I need to filter to a specific date and the previous 6 days to give complete week's data. So if I chose 30 March I'd get a table of 24 March to 30 March. If I then chose 31 March the table would show 25 March to 31 March.
I can use a date slicer to choose a range of dates but I want to be able to pick a single date, with Power BI automatically selecting the earlier date.
Any pointers much appreciated.
Mark.
You can create two measure - one for Slicer selected date and Another one with 7 day minus from the selected date as below-
Considering your date table name is- Dates
selected_date = SELECTEDVALUE(Dates[Date])
seven_day_starts_from = DATEADD(Dates[Date],-7,DAY)
Now create your calculated measure first like-
total_sales = SUM(Sales[sale])
Here comes how you will always calculate last 7 days sales considering the selected date in the slicer-
7_day_sales =
(
CALCULATE(
[total_sales],
DATESBETWEEN(
'Dates'[Date],
[seven_day_starts_from],
[selected_date]
)
) + 0
)
Remember, this is just a sample flow showing how it should work. You should try to follow the steps with your data and table structure. Dates table is a calendar table and Sales table is connected to the Dates table using the Date column.
I have a column (monthyear) in the image below. I want to extract the Month and year from the column to put it in the new column. Note: In my dataset this information goes for every day of the year
So the new column would look like:
01/2020
01/2020
01/2020
etc.
In Power Query, use some of the date functions.
To get the year it will be
Date.Year([monthyear])
For the month, it will depend on how you want to format it. Using the month of June as an example:
To get 'Jun'
Date.ToText([monthyear],"MMM")
To get the month number in the format 06
Number.ToText(Date.Month([monthyear]), "00")
Just to get the number 6 it will be:
Date.Month([monthyear])
In DAX use the date functions
For year the calculated column will be:
YEAR([monthyear])
For the month:
MONTH([monthyear])
I would always do a much data transformation in Power Query when you can before it gets to the data model.
I have a table with customers' SSN, account number, purchase date, and max purchase date (the most recent purchase date for SSN, across all the accounts). Customers can have multiple accounts. I know how to create a measure the calculate the distinct count of all the accounts that haven't been active since a certain date (6 months, 18 month, 24 months)..
I would like to create a measure or a calculated column to give me the following information.
when users select the date from the slicer (say 6 months) the chart shows the count of the accounts that have not made a purchase in 6 months, the users also want to have a drop down slicer("Yes", "No") to indicate if the SSN had activities under other accounts. i.e. if the max purchase date is greater than the value from the date slicer.
the table structure looks like this:
SSN AccountNumber LastPurchaseDate MaxPurchaseDate
123-45-5678 9876 8/2/2018 9/4/2019
123-45-5678 6398 9/4/2019 9/4/2019
135-65-4321 2233 6/6/2019 6/6/2019
Best way here would be if you add a custom column with the time difference (in the query designer):
= [MaxPurchaseDate] - [LastPurchaseDate]
Now you have something like this:
SSN AccountNumber LastPurchaseDate MaxPurchaseDate DateDiffDays
123-45-5678 9876 9/2/2018 9/4/2019 2
123-45-5678 6398 9/4/2019 9/4/2019 0
135-65-4321 2233 6/12/2019 6/6/2019 6
You can add another column which acts as filter for your 6 months, 18 month, 24 months (convert the DateDiffDays into months).
The following measure counts the accounts:
=Distinctcount('YourTable'[AccountNumber])
If you filter now by your 6 months, 18 month, 24 months column the measure gets after every filtering calculated again and you get your result.