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Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

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Riccardo Muti on 13 Nov 2014 09:53:55

If I have a date/time field in my data, I should be able to view metrics by year, by month, by day, by day of week, by time of day, and so on. I should be able to drill from month down to day, back up to month, and so on.

I should also be able to ask for 'last 7 days' or '12 months ago' in my formulas, filters etc.

I shouldn't need to create a "Date" table and all of these fields in my data. As long as I have a date/time field in my data, I should be able to do this analysis easily in the Power BI report (or Q&A).

Administrator on 11 May 2017 06:45:53

In the May release of Power BI Desktop we shipped a preview of the relative date slicer. To learn more check out this blog post: https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-may-feature-summary/ In addition, the new Quick Measures feature has a bunch of time intelligence calculations that you can add to your model. Learn more about that feature here: https://powerbi.microsoft.com/en-us/blog/quick-measures-preview/

Comments (112)
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Brian Kling on 05 Jul 2020 22:14:56

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

Wow as a new user of this software, trying to get up to speed, this is a major disappointment - this seems like such basic functionality that I would expect from the start! How could this have been deprioritized?!

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Guy on 05 Jul 2020 22:14:28

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

Agree - Power BI's date and time formatting is actually less flexible and slower than Excel 2007... agree with Brad Wilcox below, it's a real pain point in data processing that doesn't exist in your competitors

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ryan on 05 Jul 2020 22:14:21

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

I totally agree, the date options are not very useful now. Time is probably the most important metric in reguard to slicing and dicing the data for a company trying to compare one year to the last, etc etc...

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Bas on 05 Jul 2020 22:14:05

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

Under review for so long, is there any update on this?

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Power BI User on 05 Jul 2020 22:14:02

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

Would alos like the option to determin the first day of the week, at the moment in Q&A if you use a excel source (so that "yesterday" etc work the question "sales for this week" results include sunday.

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Mike on 05 Jul 2020 22:13:44

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

I found a way to calculate % change dynamically by using a date table to select a specified date range. The Measure is quite complex. (Percent Change = CALCULATE(SUM('Data'[Hits]),FILTER('Data','Data'[Date] >= MAX('Data'[Date])-(COUNT('Data'[Date])/2-1)))/CALCULATE(SUM('Data'[Hits]),FILTER('Data','Data'[Date] < MAX('Data'[Date])-(COUNT('Data'[Date])/2-1)))-1

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Josh Davis on 05 Jul 2020 22:13:29

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

Would love this as well.

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Brad Wilcox on 05 Jul 2020 22:13:13

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

This is one of the biggest road blocks I face trying to bring users from Tableau to Power BI. Date filtering is so simple and easy there compared to Power BI. Help me out please.

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Alton Ng on 05 Jul 2020 22:12:55

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

its such a drag not being able to do a simple date/time filtering/grouping... need this up and running asap!

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Chicken on 05 Jul 2020 22:12:49

RE: Analysis by date/time: View data by year, month, day, day of week, time of day, etc.

I'm completely shocked this wasn't a feature out of the gate. Also with no estimated timeline, I can't continue to recommend this application for my org, so thanks?