Trying to plot tickets by how long they take to resolve in hours by the date they were created to show resolution time is going down over time. Scatterplot is ideal to show outliers when you hover over the data point.
Sample dataset
Ticket Key
Created Date
Time to Resolve (hours)
EH-1252
12/05/2022
12.5
EH-2000
1/05/2023
5.23
Trying to create something this
The above was created in Tableau very easily but I cannot seem to replicate in Google Data Studio
Google Data studio does not seem to accept Created date as a X value that isn't a measure
Related
I am creating a data studio time series chart with a MoM comparison for clicks. I am using Google Search Console as the data source, so I want this time series to show all the data from the past 16 months (I have used an advanced time filter for this).
I created new fields in my data source by copying the links below.
GDS Fields
Please reference the below links for what the fields contain:
https://medium.com/compassred-data-blog/how-to-create-custom-formatted-date-comparisons-in-google-data-studio-9280348742a3 and https://medium.com/#brian_42021/first-off-great-work-patrick-really-impressive-workaround-that-im-finding-very-useful-bd1ee30abe57.
And then I created a blend using the data source and using Comparison Period as date and date as the join keys.
GDS Blend
I was able to get the MoM to show when using the blend as the data source in my time series chart, but the issue is that for January (current month), is is not pulling the previous month's clicks (December). This affects February as well. Does anyone have any solutions to have data studio pull these metrics? Below is an image of the issue.
MoM Issue
I'm building a model in power pivot, and have so far 2 tables retrieved from API calls. I added a calendar, linked it to my tables, and it was working fine. I was able to add a timeline linked to my Calendar date field (not fact tables date fields).
Link to the Calendar table are seen by Power Pivot
Then I updated the range of dates of my Calendar table, to go further in the past, and further in the future. Since then, when I try to add a timeline linked to the Calendar date field, nothing happens. It's weird, because Power Pivot is seeing the relationship with the calendar table, when I add the Calendar date fields in the power charts (see image 1). It's really the timeline that's not appearing anymore. If I try to add original date fields from fact tables, then the timeline adds correctly but that's not what I want.
Steps to update Calendar date range
Clicking Okay does nothing, when it usually adds a timeline
I don't know if it's a bug in Power Pivot or I broke something?
The Excel model is below
Data model, with relationships to Calendar table
Okay so I found the solution to my problem after 3 days of research. Basically by adding the timeline outside of a pivot chart, linking it to my calendar table, instead of not showing anything, it showed the error message pretty much saying that dates were not supported in Excel. So then I figured my date format was correct as it's the native calendar table, so it was probably a problem linked to the range. After a few tests, it seems anything before 1900 is not supported in the timeline, same goes for after 2099. Adjusting the range fixed it!
I created a simple report to track the funds raised for our primary school. Just a pie chart that picks data from a Google Sheets being maintained by the treasurer.
There is now a request to add a timestamp on the screen (the report is being shared by taking a screenshot and sharing in various social media platforms to report progress).
After some Googling I couldn't find a function that returns current time. Something like =now() in Sheets. However, it was recommended to try create the time in the source data.
So I created a field that stores the value of the current time in Google Sheets using this function:
=(now()-date(1970,1,1))*86400
I also set the Sheets to refresh every minute. The Sheets works perfectly.
On the Studio side I added a calculated field to display the time in my preferred format:
TODATE(Amount,'SECONDS','%H:%M:%S on %d %b %Y')
Again, this conversion works perfectly.
The problem is that the time refresh doesn't work on the report side. No matter how many times I refresh the data it still doesn't pick the updated time from the source. Yet the source sheet has the updated time.
As far as I can tell, the worksheet time update has to be triggered manually for the report to be updated.
That negates the whole purpose of the timestamp.
Sharing the report directly from Google Studio is not a practical option for now. Still, I have shared the report.
0) Summary
Use either:
#1 New Recommended Approach: Using Scorecards
#2 Original Suggestion: Using Tables
1) New Recommended Approach: Scorecards
It can be achieved using the CURRENT_DATETIME function (released on the 17 Sep 2020 Google Data Studio update to Dates and Times).
The below looks at three use cases using Scorecards which are aggregated by MAX or MIN (in the below scenario either aggregation would display the same Date Time); the fields will automatically update based on the chosen Data Freshness settings (for example, the Google Sheet used in this Report is set to refresh every 15 minutes) and can also be manually updated if required (by clicking on the refresh icon at the top of the report or using the shortcut keys Ctrl + Shift + E):
1.1) UTC
The default function would display a value based on UTC:
CURRENT_DATETIME()
1.2) Time Zone
A Time Zone could also be specified; for example, the below would display the the EST Time Zone:
CURRENT_DATETIME("EST")
1.3) Location
A location can also be specified, based on the TZ database name, for example, Colombo, Sri Lanka would be:
CURRENT_DATETIME("Asia/Colombo")
Added an Editable Google Data Studio Report and a GIF to elaborate:
2) Original Suggestion: Tables
The below looks at three use cases (outlined above) created using Tables.
Added an Editable Google Data Studio Report and a GIF to demonstrate:
There isn't a function to do that yet but hopefully will come soon (see:https://issuetracker.google.com/issues/78200216 which is assigned) however with a little careful design, you could achieve it using date rather than timestamp utilising a date filter.
If you don't have a date field in your data than you could simply set this to TODAY.
If you do have a date field then use the advanced date to set a start date of your field's earliest date and max date of TODAY.
You could then use some shapes / formatting to cover up what isn't needed.
Hardly ideal but maybe a stop gap?
There is a variable TODAY() that doesn't seem to be documented in their Function documentation but that works in calculated fields and may help you
I'm having an issue where the figures pulled from Analytics are different in a table format than the time series.
As you can see in the image below the 'Nutzer' (user) value in the table for Sep 2019 is 6692 but on the time series is 7789. This then affects the calculated values for 'Umsatz pro Nutzer'.
Does anyone know why this happens and how to stop it?
I think the most likely answer is that there is a filter active on one or both of the objects that is altering the displayed data.
To test this out, create a copy of the sheet and delete the chart. Then make a copy of your table and change it to a time series using the chart options. I just did this process using a connection to the GA property for our mobile app and I see identical data for users for both the table and the time series.
So I am trying to plot a value over a time series in powerBI report builder. I am currently getting the data from a relational MSSQL database. Now, this value (UnitCapacity) has a StartDate and an End Date. So what I have done is created a date time dimension inside powerbi using an mquery to replicate the days between a particular year and another. What I am trying to do is to plot the Unit capacities over a time series chart. Then I created filters so that I can choose which Refinery unit to plot.
So how I tried to tackle it is by creating a relationship between the IIROutagesDenormalised and DateTimeDim over the handle where the handle is in this format: {YYYY}-{MM}-{DD}. Is this the right way to do this please?
When I tried to Create the DAX query to get the Calendar date dimension, this is giving me the error below:
You don't need to take care of the date format because it should be handled by Power BI, as long as the data type is correct. Not sure about the business logic but there is a simpler way using DAX.
You can create a calendar table using DAX:
DateTimeDim = CALENDAR(MIN(IIROutagesDenormalised[OutageStartDate]), MAX(IIROutagesDenormalised[OutageEndDate]))
Which returns a table with column Date.
If you create a relationship between the Date column and OutageStartDate:
With a simple measure (depending on the business logic), like
Total = SUM(IIROutagesDenormalised[UnitCapacity])
You can plot something like the following:
Which also works with the filter: