I'm working with a SQL 2014 tabular model and I want to create a measure for count based on a date range.
My fact table will have a start and ending date range which can span multiple months. I want the user to be able to select a date range to get a count of records. The catch is that each month a record spans needs to be captured as separate in the count.
For example: Record 1 - 1/1/2014 - 8/21/2014. If the user selects a date range of 3/1 to 5/1, I want the count to return as 3 (March, April and May). If the user selects 6/4/ - 6/4, I want the count to return as 1.
Is there a way I can do this with DAX or should I go the route of creating a record for each month?
Your model is not exactly clear; but assuming that your StartDate and EndDate are in the same row - you are in effect, looking to count the number of month between these 2 dates and that can be achieved as follows;
=(YEAR([EndDate])-YEAR([StartDate]))*12+MONTH([EndDate])-MONTH([StartDate])
Your measure would then SUM() the results of this calculated column.
Related
I need to be able to get the start and end date of multiple rows of data where some dates overlap and some are consecutive (start date of one is day after end date of previous). Where there is more than 1 day between them then these are separate occurrences. Example:
01/01/20 to 08/01/20,
02/01/20 to 04/01/20,
06/01/20 to 08/01/20,
07/01/20 to 15/01/20,
16/01/20 to 28/01/20,
30/01/20 to 08/02/20
So I would expect to get 2 rows of data:
01/01/20 to 28/01/20 and
30/01/20 to 08/02/20
Is there an easy way to loop through these in Snowflake?
I want to write a query in SQL Server 2014 that will show me all the rows in specified date range between specific times. I have column DateCreated which contains date and time together.
I can easily filter date but I need all rows from these days in specific time range.
Thank you
Adding to #Larnu's comment, you can add time range criteria in addition to the desired date range so that results are filtered by the time period as well. Below is an example using inclusive start and exclusive end range criteria:
WHERE
DateCreated >= '20200801' AND DateCreated < '20200831')
AND CAST(DateCreated AS time) >= '08:00:00' AND CAST(DateCreated AS time) < '16:00:00')
The History:
I have a data set that refreshes every Monday morning adding last week's values to a growing tally until there is 52 weeks in the data set (9 separate cohorts), across 38 different departments.
I have built a power query to filter the department and compiled tables for each cohort, limiting the data to the last 17 weeks, and using excel forecast modelling then setup each table to forecast 16 weeks ahead.
Because the week beginning (WB) dates keep changing IO cant hard code the result table to cells within each cohort table.
My result table needs to show current month, month +1, month +2, and month +3 forecast values as per the highest date closest to or equal to EOM and I need this to be automated, hence a formula.
PS added complexity is that the table has date/value adjacent in (last 17 weeks) and columns separated in future 16 weeks of data in each table. Structure is exactly the same across all the 9 cohort forecast tables.
My Question:
Am I best to use a nested EOM formula, or VLOOKUP(MAX) based on the cohort_forecast_table image link below?
Because the current month needs to be current I have created a cell using =NOW().
I then complete a VLOOKUP within each cell in the master table that references the references the data in each sub-table usin MAX and EOMONTH for current month, then month+1, month+2, month+3, etc.
In a simplified broken down solution:
Date array = 'D3:D35'
Volume array = 'E3:E35'
End of current month formula cell B3: =MAX(($D$3:$D$35<EOMONTH(D1,0))*D3:D35)
Call for result in cell C3:
'=VLOOKUP(B3,Dates:Volumes,2,FALSE)'
I think this will work for me and thank you all...
I have an ssrs report that shows revenues for each month of a year for several years based on start and end date parameters the user enters. What I would like to do is add a second column that shows the revenue for that quarter (march would show q1 revenue, june q2 etc). the problem I am having is that I am able to do this for a single year but once the query starts looking at multiple years my column shows the value for all 1st quarters regardless of year. The picture shows what I am currently getting. Any recommendations on how to fix my expression to also look at the year value when summing these quarters?
Here is the code I am using to only populate the quarter column based on the month.
=IIF(Fields!Sort_Order.Value=3,
Sum(Lookup(1,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(2,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(3,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),
IIF(Fields!Sort_Order.Value=6,
Sum(Lookup(4,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(5,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(6,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),
IIF(Fields!Sort_Order.Value=9,
Sum(Lookup(7,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(8,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(9,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),
IIF(Fields!Sort_Order.Value=12,
Sum(Lookup(10,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(11,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(12,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),""))))
I ended up creating a quarter column within my data set that was then used as a parent group for the month rows. I then hid that column and added a total for the quarter that gave me sub totals. Not exactly what I was looking for but gave me the result I needed.
This should be simple so I think I am missing it. I have a simple line chart that shows Users per day over 28 days (X axis is date, Y axis is number of users). I am using hard-coded 28 days here just to get it to work.
I want to add a scorecard for average daily users over the 28 day time frame. I tried to use a calculated field AVG(Users) but this shows an error for re-aggregating an aggregated value. Then I tried Users/28, but the result oddly is the value of Users for today. The division seems to be completely ignored.
What is the best way to show average number of daily users over a time frame? Average daily users over 10 days, 20 day, etc.
Try to create a new metric that counts the dates eg
Count of Date = COUNT(Date) or
Count of Date = COUNT_DISTINCT(Date) in case you have duplicated dates
Then create another metric for average users
Users AVG = (Users / Count of Date)
The average depends on the timeframe you have selected. If you are selecting the last 28 days the average is for those 28 days (dates), if you filter 20 days the average is for those 20 days etc.
Hope that helps.
I have been able to do this in an extremely crude and ugly manner using Google Sheets as a means to do the calculation and serve as a data source for Data studio.
This may be useful for other people trying to do the same thing. This assumes you know how to work with GA data in Sheets and are starting with a Report Configuration. There must be a better way.
Example for Average Number of Daily Users over the last 7 days:
Edit the Report Configuration fields:
Report Name: create one report per day, in this case 7 reports. Name them (for example) Users-1 through Users-7. These are your Row 2 values. You'll have 7 columns, with the first report name in column B.
Start Date and End Date: use TODAY()-X where X is the number of days previous to define the start and end dates for each report. Each report will contain the user count for one day. Report Users-1 will use TODAY()-1 for start and end, etc.
Metrics: enter the metrics e.g. ga:users and ga:new users
Create the reports
Use 'Run reports' to have the result sheets created and populated.
Create a sheet for an interim data set you will use as the basis for the average calculation. The first column is date, the remaining columns are for the metrics, in this case Users and New Users.
Populate the interim data set with the dates and values. You will reference the Report Configuration to get the dates, and you will pull the metrics from each of the individual reports. At this stage you have a sheet with date in first columns and values in subsequent columns with a row for each day's values. Be sure to use a header.
Finally, create a sheet that averages the values in the interim data set. This sheet will have a column for each metric, with one value per column. The one value is calculated from the series in the interim data set, for example =AVG(interim_sheet_reference:range) or any other calculation you'd like to do.
At last, you can use Data Studio to connect to this data source and use the values. For counts of users such as this example, you would use Sum as the aggregation field type when you are creating the data source.
It's super ugly but it works.