In SSRS, I'm trying to build a calculated field that will calculate the number of days that have elapsed between a date field in my report and today.
I've tried =DateDiff("d",Fields!dts.Value,Today())
Related
I have a data source consisting of date, URL, and metric (number) which changes for each URL from date to date.
So I built a report with this setup:
date as Date Range Dimension,
URL as Dimension,
metric (average) as Metric,
default date range as today,
comparison between date and previous time period.
With this setup, I got the metric for today for each URL and the comparison between today and yesterday. This works like a charm.
Then I wanted to see the average metric for today in comparison to yesterday and changed the setup to this:
date as Date Range Dimension,
date as Dimension,
metric (average) as Metric (to see the average metric for today and comparison of it with yesterday)
Now I see the average metric's value for today, as it should - but no comparison value.
What am I doing wrong? How do I display the comparison of metric between then date and the previous time period?
EDIT 1: Here is report link with editing rights. And here is the data source - Google Sheets document.
On the screenshot you see:
in the top table every URL with its today's metric and comparison to yesterday,
in the bottom table you see the date with the average metric for today - but no comparison value.
Edit 2: I added to the data source (Google Sheets) an additional column where the date is 100% correctly recognized by Google Sheets as date (not as DateTime, as in original column). But no success here too.
I've been tracking a bunch of dates (with format string) under the dimension 'Product' in Google Analytics.
In Data Studio, I then have a simple Line Chart with all these dates (x) and their respective List Views. Like this:
Is there a way to aggregate these days by month and year?
Like this:
2020-08
2020-09
2020-10
and so on...
Thanks in advance for your help.
Summary
The below creates a Date field and then uses the Date field in a Time Series chart with Date Granularity.
1) Product_Date
Creating the TODATE Data Source-level Calculated Field below to extract a Google Data Studio recognised Date field (where Product represents the current Date field):
TODATE(Product, "%Y-%m-%d", "%Y%m%d")
GIF to visualise the process:
2) Date Granularity
Chart Type: Time Series
Date Range Dimension: Product_Date
Dimension: Product_Date; set the Granularity as required (Year, Year Month, etc)
Drill-down (Optional): Select and set multiple Date Granularity as well as a default Drill-down.
Google Data Studio Report and a GIF to elaborate to the above:
I need to subtract a day from a date field in Datastudio. My date has the DDMMYYYY format.
It can now be achieved using the DATETIME_SUB function (which was introduced in the 17 Sep 2020 update to Dates and Times):
1) Date - 1
Where the field is represented by Date, the following Calculated Field does the trick (subtracting a Day):
DATETIME_SUB(Date, INTERVAL 1 DAY)
2) Type (Date - 1)
Date
Google Data Studio Report and a GIF to elaborate:
DATETIME_SUB can also become more dynamic adding another field or parameter as its second parameter. BUT you have to CAST it as an int64_expression. Example:
DATETIME_SUB(Date_Field, INTERVAL CAST(Numeric_Field AS INT64) DAY)
I have a property created_at which stores Date and time of users that sign in for. So using Moment.js I want to get the number of days from "latest date" -"created_at".
moment(new Date()).diff(tag.created_at)
You should be able to get the number of days between to dates a and b as follows (using Moment):
a.diff(b, 'days')
I have written an SSIS integration which fetches an employee and his expiry date. All the data is flowing correctly; however when a single digit day and month is present in expiry date, the destination column swaps the month and day (when the date has double unit for months or days its fine).
Example:
07/08/2016 to 2016-07-08 WRONG
15/03/2016 to 2016-03-15 CORRECT
since your date are in dd/MM/yyyy and you are in trying to convert it into datetime,so problem occurs.
I think this more safe,
declare #jk varchar(20)='07/08/2016'
select right(#jk,4)+'-'+substring(#jk,charindex('/',#jk)+1,2)+'-'+substring(#jk,1,2)