I want to set current quarter dynamically, e.g [2021-01-01 ~ 2021-04-01)
Does superset support it? if so how to config it?
The Last vs Previous and date range control in general has been a source of confusion for my users.
Last Quarter just shows the last 3 months [because it's a quarter of a year?].
It would be great to have options like Week to date, Month/Period to date, Quarter to date, etc...
Another issue is that each company may define their quarters/periods on different starting dates, depending on their fiscal calendar.
As a stop-gap, I've done the following.
enriched the underlying dataset to have additional columns like period_start_date and fiscal_quarter_start_date.
created a fiscal_dates table that contains a list of every day over the years I need to query. The columns correlate with date columns in my other tables, like dob, fiscal_week_start_date, period_start_date, fiscal_quarter_start_date . I created this table in postgres using generate series
created a new virtual dataset that contains the column period_start_date, that shows the last 4 years of period start dates.
use a value native filter to select from the list of dates.
make the values sorted descending, and default value as "first item in list".
This allows the user to select all records that occur in the same quarter/period, with a default of the current quarter.
The tentative apache/superset#17416 pull request should remedy this problem, i.e., for the QTD you would simply specify the START as datetrunc(datetime("now"), quarter) and leave the END undefined.
Related
The user when opening the dashboard needs to see the last 2 months filtered with slicer not selected
if user select any date in slicer, then the graphic should be filtered according to the slicer (not only 2 months)
You can use the relative data filter to show the last two months of data on your report. This will track over the time without needing to update the date.
What you can then do if you need the user to put in their own date range it to use a bookmark to remove the date filter to the full date range, which the user can select.
Using two bookmarks one to clear the data range and one to show the last two months. You can layer the bookmarks and control the visuality, and even the slicer type if required.
I've got an oddly set up google sheet as my data source for a powerBI dashboard. Right now my main stress point is a 'last 7 days' filter that needs to be applied. The problem is that there are multiple columns containing dates that could be in the last 7 days, in this case representing multiple steps in an email chain.
If any one of those columns contains a date in the last 7 days, then I need to capture the row in most of my visualizations and tables, but if I just use standard filters, PowerBI assumes 'AND' and displays none of the rows, since there will almost never be a row where multiple date entries are in the last 7 days.
I'm almost certain there is a way to do this with either merged columns or calculated fields, or maybe there is even something as simple as an 'OR' filter, but thus far my googling has not turned up anything. Do you know a work around for this?
Thanks in advance!
In Power Query Editor, create a duplicate column for each of your date fields.
Make sure each of the duplicated columns is in Date format and then calculate the "Age". You will get a time value. In the Transform pane, use the "Duration" function and convert to "Days". Do this for each of the duplicated columns.
Now the last step: Create a "conditional column" in the "Add column" pane, and pull all of these new columns that should now have integer values and set the condition to show "Yes" if less than or equal to 7, "No" if more than 7.
Let me know if this helps.
THis is an example of what I think i need to do
I would like to ask some modeling advise I cannot solve myself:
I am using Power BI to visualize the time machinery is out of order.
The source is a register of equipment not functioning, with a start date and end date (note that there is no end date if the machine is not fixed yet).
I would like to show the time (hours, percentage, etc) that the machinery is out of order, filter for a specific period /date (e.g. month).
So I have 2 date columns: ‘’Start out of order’’ and ‘’Back in order’’
I do have a date table, which I usually would connect to all the date variables. However, since I am working with a Start and End date. This does not give the result I am looking for.
Any help is very much appreciated!
Kind regards,
Link to my Power BI FILE:
https://wetransfer.com/downloads/83ca3850392967d0d42a5cc71f4352c420200213160932/eb7353
Stijn
I am not sure how you would like to visualise your data, but this is what I managed to do:
create a daysdiff column with
Daysbetween = IF(ISBLANK(TF_Eventos
[End out of order]);DATEDIFF(TF_Eventos[Start out of
order];TF_Eventos[TODAY];HOUR);DATEDIFF(TF_Eventos
[Start out of order];TF_Eventos[End out of order];HOUR))
This creates your column to check difference between Dates.
Then create a separate column with your Date. In this case I copied the Start out of order date, since I thought you might wanted to be able to filter for the start dates. Then simply create a relationship between your newly created Date column and your start out of order date.
Doing so lets you create a visual with the daysbetween (in this case portrayed in hours) and your start dates. Now just simply add a slicer and you can filter on date.
Hope this helps
I just want to select a range of days in a slicer and show in a table the number of days for each month/period (month-year).
I used DAX to create a table with the information I need and I don't have problems with the periods (first column), it changes dinamically, the problem is the column "Days" (second column) because it's always showing the total number of days for each month.
Here my DAX code
SelectedPeriods = GROUPBY(DimDate;DimDate[Period];"Days";COUNTX(CURRENTGROUP();DimDate[DateKey]))
Here the result
What I expect is:
2 for april, 31 for may, 1 for june
This is an issue with execution order.
SelectedPeriods = GROUPBY(DimDate;DimDate[Period];"Days";COUNTX(CURRENTGROUP();DimDate[DateKey]))
Generates a calculated table. These are calculated when the data model is refreshed and stored in it. They are not refreshed each time a connected dimension is changed within a dashboard.
In your case, while changing date filters may hide rows from this table the number of days remains fixed at the number calculated initially when there was no filter context on the data i.e. counting all days in the month.
If you want the result to change then you need to use a measure instead of a calculated table. Measures react to the current filter context within the report and so will adjust their output each time a slicer is changed.
The needed measure will depend on your model but might be something as simple as:
CountOfDays := CountRows(DimDate)
Using PowerBI desktop, I have created a small table (called TimeSelector), with three elements: Day, Week and Month
The idea is to use the content of this table to create a slicer with three options
Thus, selecting one of those options should change the way dates are used in tables.
For instance, selecting Day would result in the following table:
While selecting Week would result in this:
Etc..
I have tried to write a new measure taking in account the selected slicer element, but it is not working:
DayWeekMonthSelection = IF(CONTAINS(TimeSelector;TimeSelector[DayWeekMonth];"Month");
MONTH(VALUES('uptime_downtime'[Uptime_date])))
This is only the first part of the formula, only testing the month option as a start.
Any idea on how to do this?
To offer another perspective:
The approach I take with this is to have a separate table in the database - containing meta data about the date, called date_lookup.
2 of the fields in this table are FirstDateOfMonth & FirstDateOfWeek.
Some of the other fields are lastDateOfMonth & LastDateOfWeek, also DayOfWeek.
By using these fields I can easily present visuals that are grouped by month or week.
Sure you can use functions to get this information, but functions can be platform dependant. If you're making a join to the date_lookup anyway - it's no more effort to get this info from there...
The main reason we need to store this meta data is our company Financial year is Jul - Jun. Therefore we need to have available the Correct FY - which is stored as a field in the date_lookup table. I also have fields in there identifying public holidays...
This is an interesting question, but I'm not sure how to do exactly what you are asking for, so I'll suggest an alternative. (Changing a measure based on a slicer selection isn't too difficult, but I'm not sure a good way to swap out a field/dimension.)
Instead of creating a separate table for your slicers, a different possible approach would be to create a date hierarchy. Often when you drag a date column into the rows or columns box it will automatically create a date hierarchy with Year/Quarter/Month/Date, but since you want week and not quarter, let's create one manually.
First, create a couple calculated columns for week and month. For example:
Month = FORMAT(uptime_downtime[Date], "mmm")
Week = WEEKNUM(uptime_downtime[Date])
Now right-click on the date on the fields, and choose New Hierarchy. It should look like this now:
Now drag the Month and Week columns onto Date Hierarchy and then rearrange them in the appropriate order:
Now you can use that hierarchy in a matrix and use the drill up and down buttons
to get the different groupings: