I have a dimension I am showing in a text table that can have one of 3 possibilities "A", "B", or "C" and I want at all times to have A, B and C shown in a text table even if one of them has 0 occurrences. The issue is that I am filtering this based on date, so it is possible that for example B may not exist, but I still want to have a 0 printed for B.
I have gone to Analysis -> Table layout -> show empty rows which will show "B", but in the count display it shows a blank. How can I get it to display a 0?
This problem is very famous among tableau users and I still did not see a generic tableau-only solution. All proper solutions start with injecting rows to your data which I assume you do not want this.
Below method will only work if you have a Date Dimension on the measure and no-data dates are not completely filtered-out; so you will be seeing zeros even though that date has no data as you may see on below screenshot.
When you filter out the no-data dates, unfortunately you will keep on seeing NULLs.
If you are using the SUM of Number of Records as your occurrences, then you may create a calculated field as below and use it in your pane:
ZN(LOOKUP(SUM([Number of Records]),0))
You can leave the Default Table Calculation as Automatic so the Results are computed along Table (accross).
Related
I have a calculation and it outputs multiple values. Then I am creating a table on those values. For example, in below data my formula is
if data is 1 then calculation is `one`
if data is 2 then calculation is `two`
if data is 3 then calculation is `three`
as three doesn't really appear in the output, when I create a table, three is not displayed. Is there any way to display it?
I tried table layout >> show empty rows and columns and it didn't work
data calculation
1 one
2 two
Tableau discovers the possible values for a dimension field dynamically from the query results.
If ‘three’ does not appear in your data, then how do you expect Tableau to know to make a column header for that non existent, but potential, value? It can’t read your mind.
This situation does occur often though - perhaps you want row or column headers to remain stable, even when you change filters in a way that causes some to no longer appear in the query results.
There are a few ways you can force Tableau to pad ** or **complete a domain:
one solution is to pad your data to make sure each value for your dimension field appears in at least one data row.
You can often do this easily by using a union to append some extra rows to your original data. You can often add padding rows that don’t impact any results by leaving all your Measure columns null since nulls are ignored by aggregation functions
Another common solution that is a bit more effort is to make what is known as scaffolding data source that is not much more than a list of your dimension members. You can then use that data source as a primary data source with data blending, making your original data source secondary.
There are two situations where Tableau can detect the absence of data and leave space for it in the visualization automatically
for numeric types, you can create a bin field that will automatically pad for missing bins
similarly, date fields can show missing values because, like bins, Tableau can tell when a month doesn’t appear in the data and leave room for it in the view
Please see example screengrab
I would like to populate cell M2. Firstly to match K2 (Taylor) against column headers C1:I1 looking at the results in the column C2:C32. I would like to find the amount of times "a" appears in C2:C32 where Type (Column B) = "r".
So the result would be 3 (Reynolds, Maggio & Hamilton).
As you can see I've managed to populate Column R with totals without comparing against Type (Column B) but am having great difficulty understanding how to extend the comparison, intentionally without the use of helper columns/rows.
Any help would be greatly appreciated.
Since you have to depend on 2 columns, you will have to use COUNTIFS. Without being dynamic, the formula for M2 would be:
=COUNTIFS($B$2:$B$32,"r",$C$2:$C$32,"a")
^------------^ ^------------^
1st Condition 2nd Condition
To make it dynamic, only the second column needs to be changed:
=COUNTIFS($B$2:$B$32,"r",OFFSET($B$2:$B$32,0,MATCH($K2,$C$1:$I$1,0)),"a")
Your total's formula could be simplified to this also (keep the range as it is instead of manually putting it as 32 rows high for instance):
=COUNTA(OFFSET($B$2:$B$32,0,MATCH($K2,$C$1:$I$1,0)))
I have Tableau report where I am showing data by category in columns.
The table shows all columns when there is no filter on data. But when filter is applied, some of the categories do not have data, so table shrinks, hiding columns without data
Is there a way to always show columns regardless of data or not in that column?
Please see screenshots below.
Go to Analysis >Table layout> Show columns with no data or
Analysis>Table layout>Show rows with no data
The next step depends on whether your "disappearing" fields are dimensions or measures.
If you want to force the display of members for specific dimensions, then one (kind of complex) solution is to use an advanced Tableau feature called data blending to force the existence of dimension members, even if there are no related measure values. The trick is to make a simple data source, say a text file, that lists the members of each dimension. Use that source as the primary data source, and make the original data source the secondary source.
Go to Analysis >Table layout> Show columns with no data or Analysis>Table layout>Show rows with no data
Also You can right click on header and select show missing values if you are using line chart.
Solution 1: (When you’re working with Dates or Numeric bins)
Right click on the numerical or Date column to extrapolate the missing values. As you notice in the lower part of the screenshot, this will not work on Categorical data !
Solution 2: Categorical Data
As indicated in the accepted answer, Analysis > Table Layout > Show Empty Rows will get you the same result for Categorical (Text) Data
Solution 3: Calculated Columns
If for some reason, none of the 2 above point & click solutions work, you can create calculated columns to calculate the measure for each of the Categories with the below formula and then line them up on the Columns to achieve the same result
Profit (Category 1)
IF MyColumn = "Category 1" THEN
Profit
ELSE
NULL
END
Profit (Category 2)
IF MyColumn = "Category 2" THEN
Profit
ELSE
NULL
END
Not the most convenient solution when you have hundreds of unique values in your column, but nevertheless a workaround !
I am developing an SSRS 2008 report. I created a tablix, however, when I view this report one of the rows has zero entries. This row is not showing in the output. How can I make it show regardless of values so that it will just show "0" otherwise?
This was the expression I used for it:
=iif(CountDistinct(Fields!Client.Value)=0 or
isnothing(countdistinct(Fields!Client.Value)),0,
CountDistinct(Fields!Client.Value))
And I have tried grouping on different fields and also filtering on another field, but none of these make it appear when there is no data.
I think that the best you can do is ensuring that the dataset you are using has the record you want, even if it is null. For example, if you are grouping months, and you want all 12 months to appear in your tablix, then you need to make those months to exist in your dataset even if they have null values for all the other columns.
I am working on data in Spotfire. The table has 4 columns:
RowID
StudID
IMT
Date
I am trying to insert a calculated column in Spotfire to get the date from the previous row for a specific StudID. The date should not be filled for first entry for a specific StudID since it does not have a previous row.
Please refer to the image for details:
This will be a calculated column using the OVER function, along with Intersect, Previous and the First aggregation.
First([Date]) OVER Intersect(Previous([Date]), [StudID])
It reads: over the intersection between (group of) the previous (to the current row) dates (which are the same) and the Student ID's (the same as the current row), give me the first row of that group. In your example, it will only ever return one date for that group, but the formula needs to be able to handle what happens if there are multiple rows. You may also need to think about whether this will happen in your data and what you're going to do about it. I.e.
StudID Date
124-639 6/12/2018
124-639 6/12/2018
124-639 6/14/2018
Building off of JasonJ's answer, it looks like his solution ran into issues when the dates of different StudIDs overlapped with one another.
So I was seeing something along the lines of this:
StudID, Date, Result
A, 10/1/2014,
A, 10/10/2014, 10/1/2014
A, 10/17/2014, 10/10/2014
B, 10/20/2014,
A, 10/21/2014,
B, 10/22/2014,
B, 10/24/2014, 10/22/2014
I created a weird workaround by adding another Calculated Column.
I doubt this is the IDEAL way to do this (I'd bet there's a better OVER function, but I couldn't identify it right off), but it looks like it's working.
First Calculated Column (Named [CalcRank]):
Rank(Concatenate([StudID],Year([Date]),If(DayOfYear([Date])<10,"0",""),If(DayOfYear([Date])<100,"0",""),DayOfYear([Date])))
Second Calculated Column:
Max([Date]) OVER (Intersect(Previous([CalcRank]),[StudID]))
Please note, you may have to pad your StudID with 0s to make sure it orders properly, like I did with the Date column.