i have this tableau workbook
basically this calculated day different between each user_id and each transaction for each user_id with this calculation
DATEDIFF('day',LOOKUP(MIN([Created At]),-1), MIN([Created At]))
that pull filters its so filter the conditions of users (We can ignore this)
and date_rante filters its for calculated day different between date range on parameter
with this calculated
lookup(min(([Created At])),0) >= [START_DATE] and
lookup(min(([Created At])),0) <= [END_DATE]
so from the frequency i want to find out the Max of different day, with this calculated
MAX({FIXED [User Id]:DATEDIFF('day',LOOKUP(MIN([Created At]),-1), MIN([Created At]))})
but it says
level of detail expressions cannot contain table calculations or the attr function
so i used this solution https://kb.tableau.com/articles/howto/finding-the-dimension-member-with-the-highest-measure-value
and from that solution, i applied with my codes into like this
MAX({FIXED [User Id]:DATEDIFF('day',INT(LOOKUP(MIN([Created At]),-1)), INT(MIN([Created At])))})
but it turns to error datediff being called with string,integer,integer
based on #Anil solution, i tried to create it, and idk why the results was like this
new picture
Presently, as far as my knowledge of tableau is, tableau doesn't allow to calculate LOD calcs or further aggregations on table calcs. To find the transactions where the user took most/max time (in days) in subsequent order- You can do this workaround..
Let's assume your datediff calc field is named as CF1. create another calc field lets say CF2 with following calculation
rank_unique([CF1])
EDIT:
Change table calcs on this field similar to CF1. putting a filter on this field will give you the dates with max(time diff) as shown in screenshot.
table calculation options on first (datediff field)
table calculation options on second field (rank_unique)
I have added third field on colors
(Please note no field used in filters just to highlight)
Related
What I am trying to achieve is to get a count of people employed in a particular period.
I have 3 variables:
Employee ID (integer)
Hire date (date)
Termination date (date or null)
Example
the formula I am looking for is something like
if termination_date is null
then
count employee_ID in
dates between Hire_date and max of either hire_date or termination_date
else
count employee ID in
dates between hire_date and termination_date
This aims to show the dynamic of staff level over the time.
I am new to Tableau, not sure how to even start with it. Any suggestions welcome.
This problem will be simpler if you reshape your data to have the following three columns
Employee ID
Date
Action. (where action takes on the values of ‘Hire’ or ‘Terminate’).
Each data row represents one change in status for an employees. If an employee had a termination date, they will have two records in this new format, otherwise just one record showing the hiring date.
You can reshape your data by hand, or leave the original and use Tableau Prep or the Tableau data source page to reshape using a self Union and a few simple calculated fields.
Define a calculated field called Staffing_Change as
if Action=‘Hire’ then 1 else -1 end
Now you can plot the change in staff level over time by putting exact date on columns and sum(Staffing_Change) on Rows. You can use a quick Table calc, Running Sum, to see the net staffing level. For line mark types, I’d use a step style by pressing on the path button on the Marks card. Otherwise, the chart can give the impression of fractional number of employees.
am trying to get Previous Sum(of someField) based on a variable value which is an Id.
This is not a table, Im doing a KPI
On Qlik you would do something like:
SUM({<Id={"$(=Max(vVariable),-1))"}>} someField)
But I can not achieve it on Tableau, off course is due to my lack of knowledge, unfortunatelly time is tinking at work and wanted to see if anyone has any input!
Thanks
Assuming you may use a sample input like the Superstore (using sales as metric), this could be what you're looking for:
In red you can see your "variable" which allows you to select a value and in blue you'll find the unique row for the previous value (Order ID sorted).
The first thing you need to to do is creating a parameter based on all the Order ID values:
Then things start to get a bit complicated if you're not familiar with LOD (Level of details) and the order of execution in Tableau, especially for filters.
Assuming that you can get some information on your own (otherwise, feel free to ask), the first thing you nee to to do is to "pre-calculate" the equivalent of a table having a rowe for each Order ID, in which you also have the previous Order ID value.
You can achive this combining Fixed (LOD) and Lookup function, creating this Calculated Field "Lookup Order ID":
LOOKUP( max({ FIXED [Order ID] : MAX([Order ID])}),1)
This is actually just a calculated field that you want to "fix" because you need the filter to act after you have made that previous calculus, and then you shift your data by 1 row backward.
Once you've done that, you just nee to create another calculated field in order to test your parametric value, and it could be something like this "check param":
[Lookup Order ID] = [Order ID param]
Moving this calculated field in the filter section and selecting just "true" values, you'll get that unique rows like in the initial image, showing the previous value (blue) related to the one you select in the parameter drop-down menu (red).
I am having trouble showing the correct totals in my tableau worksheet.
I have supervisors that are part of specific zones that need to complete a certain number of tests in different categories. For example, supervisor 15716 must complete 8 tests in category 1. I need to show the target, which is a number stored in the database and show the actual number of tests in that category that have been completed within a date range. I have it working, but Im not sure if I did it correctly because I can not show any totals.
System target - number stored in database
CountOfSheetID - calculated field
Percent Compliant - calculated field
Try this approach -
First define a calculated field called [Within Date Range?] as
[Date] >= [MyStartDate] AND [Date] <= [LastSelectedDayOfMonth]
and put that new field on the filter shelf, only including data where [Within Date Range?] is True. (You could also just filter the [Date] field if that is flexible enough for you)
The you don't need the CountofSheetId calculated field at all. If you want to know how many records have a non-null value for [SheetID] within your date range, you can simply drop [SheetID] on a shelf and choose to treat it as Measure with the aggregation function COUNT()
Then just build your visualization to show the counts you want (not percentages, the actual counts)
Finally, you can convert counts into Percentages by clicking on the pills for your Measures and choosing Percentage under Quick Table Calcs. You'll want to experiment with the "Compute Using" setting to tell Tableau how to compute your percentages -- i.e. define percentage of "what".
Percentages are implemented as table calcs in Tableau. Read the help to understand table calcs, especially the description of partitioning and addressing.
I'm doing a break fix on a Tableau report visualization that shows the outcomes of clients by client id for a given year by showing a running sum of distinct count of client id or RUNNING_SUM(COUNTD([ID])). The X axis of the visualization is the initial date of contact with the client. Occasionally, due to errors in the data or weird behavior, there are clients that have two initial dates, listed as two separate data rows where the column Initial Date will have different values but they will share an ID.
Currently, the visualization shows such people with their chronological last Initial Date and I need it to dedup such that the visualization shows them as starting from the chronological first Initial Date.
I could create a calculated field for if there are two IDs with multiple non identical Initial Dates then use the first, but I'm not sure how to create a calculated field that can groupby or otherwise check multiple dates per ID.
In Python/psuedo code, it would be something like
For ID in IDS:
if len(groupby.IDS.ID)>1:
then Initial_Date = min(InitialDate)
But I have to do the transformation in Tableau
Keep everything the same, but create a calculated field named "Initial Contact Date" with the calculation:
{FIXED [ID]: MIN(InitialDate)}
Then replace the date field on the X axis (Columns) with this date field instead.
That LOD Expression loops through all rows given the ID, and returns only the min one.
How can I get the second highest value from a field in a calculated field. In excel I would use the large function but there doesn't seem to be a tableau equivalent. I would prefer to do the calculation in Tableau instead of using a pass through function.
Here are two alternatives.
First, if you want the calculation to happen on the data source side, You could write a LOD calculation to find the max of your field, name it myMax
{fixed [My_Dimension1], [My_Dimension2] : max(myField)}
Whether you use fixed, include or exclude scope for the LOD calc depends on how you want to scope your analysis.
Then write a row level that returns the field value if it is less than the LOD calc, and implicitly null otherwise, name myFieldExceptMax
if myField < myMax then myField end
The max of that row level calc would be your answer.
max(myFieldExceptMax)
Alternatively, if you want to operate on the client (tableau) side to find the penultimate aggregated query result, you can use on of the ranking table calc functions, and the filter to only show the second ranking result.