tableau show difference between two calculated columns - tableau-api

Please See Picture of my Tableau Worksheet
I simply want to include a new column that shows the difference between 2017SU and 2016SU. Note that each of those two columns are a running sum.
I've tried doing a secondary table calculation but it does not add a new column.

Here is one solution - more work than you would think it should take, but it makes sense when you think about Tableau views your data. I can't see what the full name of you numeric field starting with Seatc ...
Define three calculated fields:
2016SU Seatc = running_sum(sum(if [Stc Term] = "2016SU" then [Seatc...] end))
2017SU Seatc = running_sum(sum(if [Stc Term] = "2017SU" then [Seatc...] end))
diff = [2017SU Seatc] - [2016SU Seatc]
You'll have to set the partitioning and addressing (aka compute using) on the table calcs appropriately.
Finally, now you can use Measure Names and Measure Values to build a table (or other chart) using these 3 measures

Related

Tableau Target Vs. Actual - Can not get totals to show correctly

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.

Spotfire - Filtering a Table by Values in a Calculated Column

I am trying to filter a table visualization of all of my data by looking to see if a Study Number contains Activity A. If a Study Number contains Activity A then I want to filter for all rows containing those Study Numbers even if the Activity is not A. See mock data below. In my real data set I have ~55,000 rows.
I have created a calculated to return Study Numbers if Activity= A but I am not sure where to go from there. Thanks for any help.
If(UniqueConcatenate([Activity]) OVER ([Study Number])~="A","Y","N")
Will give you this resulting column that you can then filter on (or you can use the formula as a Data Limiting Expression:

Tableau creating a calculated percentage (non-aggregate) based on an aggregated total

Either I am the first person to ever need to display percentages in Tableau or I do not know what to search for! I highly suspect it is the latter...
I believe what I am attempting to ask is how to make a calculated non-aggregated field by dividing by an aggregated number. Although I would prefer just to be able to display the percentages instead of a whole number.
This is how I would do it in Excel:
The data that already exists is Column A and B. In Tableau these would be non-aggregated. What I need to do in Tableau is to generate what is column C (also non-aggregated) because it does not exist in my data. In excel, all I did to get the aggregate number (total) of column B was:
sum(B1:B4)
And for the column C:
=B1/$B$5
But I can't seem to do this at all in Tableau. When I try to use the same syntax, I get an error message: "Cannot mix aggregate and non-aggregate arguments with this function."
Instead of having a calculated field, you can use a Quick Table Calculation on the column.
Right-click the pill of your data > Quick Table Calculation > Percent of Total. This will show the percentages instead. If you want to keep both, just duplicate column b first and then add the table calculation to the new column.

Count the number of instances of values across multiple dimensions in Tableau

I'm currently looking to count the number of instances a values shared across multiple dimensions. For example, say I have the following set of data:
And I want to return something like:
But ideally in the form of a bar graph. I want to keep the names associated with the data, so I can filter lets say by all "Bobs" or all "Hannahs".
Does anyone have any advice on how to do this in Tableau?
Here are a couple of ways you may be able to do this.
1) Create a calculated field for each food type. This is a bit cumbersome and you would need to add new ones for any new foods added. You calculations would look like this:
Hamburgers:
SUM(IF [Food1] = 'Hamburgers' OR [Food2] = 'Hamburgers' THEN 1 END)
Then you would make use of the Measure Names and Measure Values built-in fields.
2) You can normalize your data. If you are referencing a Excel or Text file, you can do this right in Tableau. Simply go to the Data Source tab, select the Food fields, and choose to Pivot them:
Goes to:
Now you can do:
Finally, both results support creating a bar chart:

Tableau table hides categories with no data - how to prevent?

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 !