I have the following payroll table in an SSRS 2008 (R2) report:
The dataset returns labor transactions consisting of the following fields:
STARTDATE
STARTTIME
FINISHDATE
FINISHTIME
REGULARHRS (difference between finish and start)
REFWO (such as "Travel", "Holiday", "Work", etc and is used to sort into the categories shown in the table above)
TIMEWORKED (0/1 flag that indicates whether or not it counts towards "Time Worked" category)
I have a column grouped on STARTDATE so that it displays each day of the week (our weeks go Mon through Sun). Everything down to "Unpaid Time Off" is a simple expression (usually just in the format Sum(IIF(something,A,B)) in both the daily column and the weekly (Totals) column. In the "Interim Regular" box (for the day grouping), I have the following expression:
=IIF(Weekday(Fields!startdate.Value)=1
OR Weekday(Fields!startdate.Value)=7
OR ReportItems!Holiday.Value>0,
0,
ReportItems!TimeWorked.Value-ReportItems!Holiday.Value-ReportItems!Bereave.Value)
Basically what I'm doing is saying: If STARTDATE is a Saturday, Sunday, or Holiday, the regular hours would be 0 since it would fall into OT1.5 (overtime, time and a half), otherwise I calculate the regular hours worked by subtracting Holiday time and Bereavement time from the Time Worked (since both are included as part of Time Worked). This part works great!! But when I try to sum up the total for the week using =Sum(ReportItems!InterimRegularDaily.Value) it tells me that I can't use an aggregate on a report item and that aggregate functions can be used only on report items contained in page headers and footers. I've done extensive googling to see if there is a solution, but everything seems to involve writing custom functions. I can't believe it would be THAT hard to simply sum up a group calculation in an outer group!
Any and all help would be greatly appreciated!!
Thanks!
You can add the scope the your Sum() expression to reverence the the whole dataset or a group:
'Returns the sum of the whole DataSet
=Sum(Fields!TestField.Value, "YourDataSetName")
'Returns the sum of a group
=Sum(Fields!TestField.Value, "YourGroupName")
You can also stack them:
=Sum(Sum(Fields!TestField.Value, "Level3GroupName"), "Level2GroupName")
Related
I have an earnings table in my Google Data Studio report from January 21 - YTD.
But what i want is a table that shows me YTM (so this year until last month) Jan-21 til Sep-21 and that dynamicly on 1st Nov, Okt-21 is added to the table, and on 1st dec Nov-21
is added etc.
Because the Total YTD value is other wise too high, due to cost being booked at the end of the month and earnings through the month.
Filters wont let you do it dynamicly,
date range filters same,
always possible to do it manualy with date range but this i cannot ask from my client.
any suggestions??
Kind regards
I found the answer,
i left the question for when someone else wants to do it,
it is actualy simpel fixed by using advanced date filter and then leaving the start date on 1-jan, and end date to today minus 1 month.
this gave me the exact result i needed yt last month
I have a simple Data Studio table consisting of two columns. The first column is the week (ISO Year Week) and the second column is the total registrations we've received for that week.
However, my Week column repeats 7 times (7 Rows) for each week as it's counting by day within that week. See below:
Is there any way to get this to group by the listed week? Below are my settings:
Dimension = Conversion Date set as "ISO Year Week" for the type.
Metric = Equals the count of Conversion Date (Same Conversion Date field used for dimension)
Any help would be much appreciated.
There might be an issue with the date format of the source. Without knowing the source (e.g. Google Analytics or Sheets) it’s hard to tell.
Blended Data
I recently had this issue with blended data. The response of a similar question helped me to find a way.
Basically you have to add a new custom field to the data source with the formula WEEK(date_field_link). Data studio will recognise this as a date in compatibility mode, but for me it still works. Then you can use this new date field as a join key to blend the data while grouping it in weeks.
Normal Data
If this problem appears in a regular non-blended dataset you might want to check if Data Studio correctly catches the date as a date. This help article from Google might be worth checking out: https://support.google.com/datastudio/answer/6401549?hl=en#zippy=%2Cin-this-article
I made a similar case work using blended data.
Your column "Conversion Date" repeats the same week 7 times because it's just a display value. Every row has a date value (year, month and a day) but you're just showing the corresponding week. So, data-studio treats them as different data and doesn't group them.
To be able to group them by Week you need to create a new field with a value containing only the week and the year. So, you can use the formula
YEARWEEK(your_date)
The resulting Date will be groupable.
NB1: If your date isn't of the type Date, you can parse it from text to date using
the method:
PARSE_DATE("%Y-%m-%d", your_date_text)
NB2: If the created field has the type number and doesn't show the possibility to change type to Date, you can do this trick: (it's weird but it works):
First type as a formula for the created field and apply:
MONTH(your_date)
This will unlock the compatibility Date types. You can choose from them the ISO Year Week type.
and then change the formula from MONTH(your_date) to YEARWEEK(your_date) [your formula] as I explained above. The chosen date type won't go away even if it wasn't available the first time.
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.
I have a PivotTable (actually it is five PivotTables, each on its own separate sheet) that is created from a query of an outside database. Each of the PivotTables represents a day (i.e. Today, Tomorrow, Today+2, Today+3, and Today+4). For the report filter for the first two, we use a date range filter of today and tomorrow which automatically filters the data and allows it to roll over. We created custom date ranges for the other three days, but upon every external data refresh we have to go into each sheet and reselect the report filter from all to the specified time frame. This data rolls over every day so we can see the lineup for the next 96 hours out.
Is there a way to either keep the PivotTable report filter criteria (VBA and macros are both acceptable, although we are also fairly new to both)?
Or is there some super secret way to extend the report filter from just today and tomorrow to a time range (48 hours, 96 hours) instead of next month?
I need the days to be separated, so next week will not work because all the days will populate on one page.
Without seeing a real example it's hard to tell, but how about changing the query to a relative date index, i.e. something like
SELECT DATEDIFF('day', GETDATE(), report_dt) AS days_from_today FROM reporting_table
And then set your report filters on this relative date index (days_from_today = 1 for tomorrow, etc)? You can always create another Excel column in the report =TODAY() + days_from_today to get your absolute date back. (Assuming you are just dealing with one time zone for reporting purposes.)
I.e., instead of rolling filters, keep the filters on constant indices, and let the indices cover a rolling date range. I'm not sure Excel is smart enough to do the rolling filters thing.
I need to calculate how much a plan has cost the customer in a specific month.
Plans have floating billing cycles of a month's length - for example a billing cycle can run from '2014-04-16' to '2014-05-16'.
I know the start date of a plan, and the end date can either be a specific date or NULL if the plan is still running.
If the end date is not null, then the customer is charged for a whole month - not pro rated. Example: The billing cycle is going from the 4th to 4th each month, but the customer ends his plan on the 10th, he will still be charged until the 4th next month.
Can anyone help me? I feel like I've been going over this a million times, and just can't figure it out.
Variables I have:
#planStartDate [Plan's start date]
#planEndDate [Plan's end date - can be null]
#billStartDate [The bill's start date - example: 2015-02-01]
#billEndDate [One month after bill's start date - 2015-03-01]
#price [the plan's price per billing cycle]
Heres the best answer I can give based on the very small information you have given so far(btw, in the future, it would really help people answer your question faster/easier/more efficiently if you could specify a lot more info;tables involved, all columns, etc..):
"I need to calculate how much a plan has cost the customer in a specific month."
SELECT SUM(price), customerID(I assume you have a column of some sort in this table to distinguish between customers) FROM table_foo
where planStartDate BETWEEN = 'a specific date you specify'
Its a bit rough of a query, but thats the best I can give till you specify more clearly your variable (i.e. tables involved, ALL columns in table, etc etc.....)