In a VEEML story, I would like to comment on a chart displaying the turnover week by week;
Is there a way to display the total turnover of the whole year included in my comments?
Each time you create a metric, a variable with the same is created.
For instance, you create a metric as :
SUM(Amount) as Amount
A variable called “Amount” is automatically created.
To use that variable, you have to prefix the name of the variable by the # character when you want to call it.
For instance, in a Richtext chart, you can display the result of the calculation of that metric as :
The turnover is #Amount €
And you will get :
The turnover is 917 44 154 €
Related
I have imported my GA4 data into Google Data Studio and am trying to see how many giftcards have been sold by their value.
The item revenue metric in GA4 is equal to the giftcard value (i.e. revenue = $200 therefore $200 giftcard was sold).
I want to breakdown sales by giftcard value like so:
Giftcard (revenue)
Count
$200
4
$250
3
$300
6
To do this, I need to set a copy of item revenue as a dimension rather than a metric.
In Google Data Studio, I can create a calculated field with the following formula that should convert the item revenue into text:
CAST(Item Revenue AS TEXT)
The problem I'm having is that while the formula sets the field type as text, it is still regarded by GDS as a metric and can't be used as a dimension.
Even when I try to add text, GDS still recognises the field as a number:
CONCAT(CAST(Item Revenue AS TEXT), " giftcard")
To use a metric as a dimension you can make a combination of data. When defining the graphic element (table, for example) and the respective data source, just create a data combination, but do not combine the data with any other source and just define the combination with the initial data itself. So you will have the same data structure only through a combined structure.
When making a combination of data, data studio recognizes all calculated fields (metrics) as dimensions. Thus, it is possible to make the conversion.
Can I have a time series chart to display the last 6 months QTY sold? as the report filter is monthly based.
ex. Users can choose 2021/10/01 - 2021/10/31 to view the report and there is a chart to display the last 6 months QTY sold. In this case, the time series chart will display 2021/05/01 to 2021/10/31.
If users can choose 2021/06/01 - 2021/6/30 to view the report and there is a chart to display the last 6 months QTY sold. In this case, the time series chart will display 2021/01/01 to 2021/06/30.
Through my advanced knowledge of the platform, I am not aware of the possibility of obtaining the mentioned result.
It is not possible to use the date filter control element and the respective date range as an input variable to define the period dimension used in the temporal graph.
You will probably have to look for an alternative solution that doesn't match the proposed objective. Using a fixed period of the last 6 months, without the possibility of dynamic variation through the date control element. Or, use two date filter control elements, one for the time graph only. Solutions far from ideal.
The issue was solved, I created another data source for 6 months of sales.
I want to do a forecast model in excel, which automatically calculates the expected monthly values of a certain variable.
Table A (Output table):
here, I want to show the expected end of month value for a patientF.ex. I want to forecast the total value of X for Person A for the whole month of October
enter image description here
Table B (Data table):
Here, I receive a daily import from an SQL database with the relevant Person Data for that day
F.ex. on the 15.10.2021 I would receive the following:
enter image description here
In short, I would like to do the following calculation in my output table B:
Return Value of "Number of X", given that "Patient" =Person A for the MM/YYYY match (if successful, this should show 13 for person A/October in the output table)
Secondly, I want the above value to be divided by the number of days of that particular date (so 15 days in this example)
Thirdly, I want to multiply it by the total number of days for that given month (as indicated in the Output table/Date section)
I have tried different sumifs/array formulas but I really struggle with one consolidated formula. Any help/tips much appreciated!
I'm creating a drill down report using a column chart to display data for a given day. Each column shows the max value in that hour of the day. When I click a column the same query is run in a line chart but the date range is changed to be for only that hour of data, passing through the field value of testDate as a parameter fromDate the date range looks like this: testDate >= fromDate AND testDate < DATEADD(HOUR, 1, fromDate). So only that hour of data is got.
My problem is that not all values within the hour are always displayed, most reports when clicked into show the whole hour: Whole hour but some of them show only the first 35 minutes and cut off before an expected very large number: Cut off data In this case a value of 948 should occur at around 7:47 but just doesn't appear.
Any help would be greatly appreciated.
EDIT:
I bumped it up to a 2 hour window which showed all of the data and it will do the job, but I'm still curious as to why it wasn't working before, here is an image of data from 07:00 to 09:00, Two hour window
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.