I saw a blog where “Segment Conversion Type Name” and “Segment Conversion Category” cannot coexist with non-conversion metrics—such as cost, clicks, or impressions:
https://www.workshopdigital.com/blog/3-google-data-studio-shortcomings-for-ppc-analysts/
I am trying to build us a report that will show the cost per segment conversion category per location but alongside it is I also have the non-conversion metrics. I don't really want to build another table just for the conversions since the data looks messed up.
Create a table report in Google Data Studio and filter by Segment Conversion Type Name:
Related
I have a table of events from google sheets that I want users to be able to filter by date in Google Looker Studio. The events have various lengths, so each has a start and an end date in the table (as well as a bunch of other columns). For example:
Event
Start Date
End Date
A
02/15/2023
02/20/2023
B
03/01/2023
04/30/2023
C
02/23/2023
03/01/2023
I want users to be able to filter for anything that is happening in the event range they select. For example, if they input the date range 02/26/2023 - 03/15/2023, the table should filter down to show events B and C, since those have ranges overlapping their input data range.
I've tried a few different approaches that all have drawbacks:
Using the Looker Studio date range control. This seems to only filter based on the Start Date OR the End Date, and not have the ability to look at both.
Applying a Date Filter in the chart. If I apply the following filter (under Chart - Filter - Table Filter), it works great to show anything overlapping the desired date range:
Include - Start Date - Less than or equal to - 03/15/2023
AND
Include - End Date - Greater than or equal to - 02/26/2023
However, I had to put these dates directly into the filter, which is not what the user should have to do. Is there a way I can have them input the date range they are interested as a control, and I can feed that information into the Date Filter above? (So they would put in a start date and end date that would replace where I have hard coded 02/26/2023 and 03/15/2023 above).
I have also set up this filter in Google Sheets to work exactly as I want it. Anyone can enter a start date and end date in a couple cells, and I use the filter() function with the same logic as in #2 above to filter the table down to what I want. The disadvantage of google sheets though, is if multiple people are there at the same time, they do not have their own view of the report. I switched to Looker Studio because it allows view-only users to filter their report independently.
Edited to add: This report is intended to be used by viewers with limited experience using google sheets or looker studio, and possibly on phone or browser, so I'm trying to make the filtering as easy as possible.
the ability to filter data independently & at the same time for multiple users is natively possible in google sheets with Filter Views:
I have 2 tabs relating to the graph I'm working with. I have multiple graphs all working properly but one in particular. I have tried selecting different ranges to use for the data range, I have tried using different types of graphs. All the same I get the same results. The other graphs use the same information from the same table.
The graph's purpose is to compare the Highest Price and the Lowest Price per item. HERE is a link to a sample sheet with the same information as the original. Thank you for any help you can give!
values needs to be numeric not text string so in worst case a conversion is needed:
=ArrayFormula({INDEX(SPLIT(F4:F13, " "),,1), INDEX(SPLIT(G4:G13, " "),,1)})
and then you can plot your chart...
In my data studio dashboard i have team size filter. This team size column contains(in google sheets) few types of team sizes(0-1,2-5,501-1000 ... ). My problem is when i add a filter using this team size column it shows date ranges(some of data). 2-5 team size shows as 2020-02-05 likewise. Data type for team size is string in data studio.
Issue Identification
Was able to replicate the issue. Currently it seems that the values 2-5 and 6-10 were automatically detected as Date values in Google Sheets (notice that Dates are right aligned as opposed to Plain Text values which are left aligned in Google Sheets).
Suggestion
In Google Sheets, select the column and set the format to Plain Text and refresh the Google Data Studio Report to view the refreshed data showing the values as expected.
Editable Google Data Studio Report and a GIF to elaborate:
I have a Google Sheets file I use to enter data on different properties.
Each row in this file represents a single property.
If a certain property is of interest, I would like generate a report for it.
I need a functionality that will extract all data fields from a single row, and insert them in a new file (google sheets or preferably a Google Docs file) with a pre built format that would present the data nicely like a report.
Thanking you in advance
Avi
Here is a very preliminary answer, to see if this is the right direction.
See my sample sheet.
This lets you select, in C3, which address you want a report on. The fields shown in green change as you select a different address. All of the report fields could be modified like this - you just need to point to which column in the Properties database contains the values.
Is this roughly what you were looking to achieve?
So I am trying to learn how to get the lowest selling price data from g2a games and put it onto google sheets. I tried the code below for Next car Game on G2A but get an error saying imported content is empty.
=IMPORTXML("https://www.g2a.com/next-car-game-early-acces-steam-cd-key-global.html","//div[#class=mp-Price]")
I am very new to this but hope to learn off of this
It is loaded by a separate json file through jquery. I found the source url but you will still have to parse out that data and then compare lowest rates potentially
=TRANSPOSE(IMPORTDATA("https://www.g2a.com/marketplace/product/auctions/?id=5759&v=0"))