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.
Related
I am trying to create a line chart counting all the optins per date, however the only dimension that is will allow me to choose from have to be a date column on my source. The problem with this is it only chooses from dates that are populated in those fields with an optin date.
For example: I have 5 optins on 1/1/2019, 0 on 1/2/2019, and 3 on 1/3/2019
If I use this series and want to include another metric, 1/2/2019 will not show anything for that other metric
I just want a standard everyday series that counts every metric on a given day. The google analytics connection source has a generic Date dimension but I can not figure out how it was done
Ive tried creating a new column with everydate on it and trying to use that as a dimension without any luck
You should be able to use a Time Series graph (of which there are 3 types) instead of a Line graph.
A Time Series will keep the days where no data is available unlike the Line Graph which only presents labels for those which have values in the data.
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 SSRS report I'm working on. What I would like to do is get the value of one field from its own dataset and subtract the value of another field from a different dataset. I can do this; however, the values are grouped so rather than giving me an individual value it gives me: (sum of all completed) - (sum of all completed the previous year).
Here is my expression I am using for the column "Compared to last year"
=SUM(Fields!Completed.Value, "MTDSales") - SUM(Fields!Completed.Value, "MTDminus1")
"MTDSales" and "MTDMinus1" are 2 seperate datasets. MTDSales Dataset is the current months sales outcomes grouped by company MTDMinus1 dataset is last years figure for this current month as i am comparing the 2 months separately.
I had to do this in a report where I was pulling current data from one database and older data from a data warehouse and combining. You will need to do a few things:
1. Establish a match field
This can be as simple as a single column. If you need to match on multiple fields you will need to add a calculated field to each dataset that you can match on. Assuming you need to match on company and financial year and each dataset returns one year of data, this might look something like match_id (assuming numeric values - otherwise you might need to use | or something as a separator):
`="A" & Fields!fin_year.Value & "B" & Fields!cust_id.Value`
2. Retrieve the data to the source field.
In your tablix add a column as you have to hold the looked up value:
=Lookup(Fields!matchId.Value, Fields!matchId.Value, Fields!Completed.Value, "MTDminus1")
3. Use the data
Now you can aggregate the data or do whatever further calculations you wish as if the field was part of your original dataset.
I'm working on a SSAS cube to allow user to analyze some sales.
So, I created a fact table to record all sales and few dimensions to browse inside data (category / location & store, etc...).
This is a example of the fact table output (from SQL Server Management Studio) :
When I browse my cube, I can review all sales including date, quantity, etc.
However, when I add some fields like the "unit price" or the "unit cost", it returns me a strange result probably due to an aggregate behavior.
It seems it return the sum of all matching rows (aggregateFunction property).
How to simply display the unit price of a sale without apply any calculation to the unit price column. The None value for the AttributeFunction display BLANK/NULL.
If your unitCost and unitPrice are the same for each product (I mean unitCost can be only 77.6 for product_id = 2), you can just use average (or even emulate average by SUM/COUNT) - but only for product dimension on axis!
Another dimensions will show real average values.
Maybe it's better to use this 'static' fields like attribute properties in 'Product' dimension? But you still need to add some logic to choose one value for several (or all) product members selected.
I have combined two datas which are price 2013 and volume 2013 to create one pivot table. But how can I find revenue (Volume multiply price) by using pivot table? Please help. Thanks. My column field there included Price from data 1 and volume from data 2.
Switch one of the fields to Σ Values (Volume would seem to be the more sensible) and add a Calculated Field (PivotTable Tools, Options > Tools - Formulas) say Named: Revenue and with Formula: Volume*Price.
However depending upon your version of Excel and your data, you may receive incorrect results (eg in the GT row for revenue).