I have dummy HR data, and I want to color format via a map the difference in median salary based on groupings of birth year.
I have a quick calc field to separate them into birth year groups:
IF DATE([Date of Birth]) >=#1976# THEN "Group 1"
ELSE "Group 2"
END
Now I want to find the difference between the median salaries for those two groups, but I want to conditionally format them via a map to see where the median salary remained similar or differed a lot.
For instance: Median(Group 1([salary])-Median(Group 2([salary]) would give me a +/- difference and then I'd like that to be colored via a gradient and then outlines via state level detail.
This is probably so easy, but I can't think of how to do it via those groups. Would this be a LOD calc?
Define a calc to return the salary for rows in group 1, and null otherwise. Call it say, Old_Folks_Salary, defined something like if Year([Birth Date]) < 1976 then [Salary] end (If the condition in the if statement is not satisfied, and there is no else clause, the expression returns null.) Define a similar field for the youngsters.
The trick to know is that aggregation functions, like Median, silently ignore null values. It’s as if the null values don’t even exist. So ... You can now express your aggregate calculation as
Median([Old Folks Salary]) - Median([Young Folks Salary])
For extra credit, you can replace the hard coded threshold of 1976 with a parameter, and look for more politically acceptable field names.
Related
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 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)
Thanks in advance for any advice you can offer! I'm building a Tableau dashboard to explore housing affordability and school quality in different neighborhoods in my area. A user will select their occupation and see a graph of neighborhoods plotted based on school quality and housing affordability. To explore housing affordability, I'm using county level assessor data with the valuation of every property matched to neighborhoods.
The goal is to display the percentage of homes in an area that are affordable given the median occupational wages for the job a user selected. Right now, I'm trying to use a calculated field with COUNT([Parcels]<[Occupation])/COUNT([Parcels]), but I need to find a way to count the number of properties in each specific neighborhood below the cut off value.
Does anyone know of a way to count elements of a particular group in this way in Tableau?
I'm on a Mac, using Tableau Desktop, and doing the back end analysis work in R. Thank you!
You seem to misunderstand what the function COUNT() does. You are certainly not alone. Count() behaves in Tableau almost identically to how it does with SQL.
Count([some field]) returns the number of data rows where the value for [some field] is not null. It does not not return the number of rows where [some field] evaluates to true, or a positive number, or anything else.
If [some field] always has a non-null value, then Count([some field]) is the same as SUM([Number of Records]). If [some field] is always null, then Count([some field]) is zero. Count() is not like Excel's CountIf function.
If you want to count data rows that meet a condition, you could try COUNT(if [condition] then 1 end) Since the missing ELSE case defaults to null values, that expression will count rows where [condition] is true.
So one way to get the percentage of affordable homes is count(if [affordable] then 1 end) / count(1) assumes each Data row represents a home. Then format your field to display as a percentage. Another option is to learn to use quick table calcs
If you want to display the number of rows in a given visualized table you could also use SIZE()
Source, official docs:
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#size
In Tableau a Level of Detail Expression allows you to create a calculated variable that is affected by none or only some of the view level filters.
I have a view that has 2 filters based on the same column -- a YEAR(Date) filter and a MONTH(Date) filter.
If my Level of Detail Expression is:
{EXCLUDE [Date mdy]: SUM([count.Attrition])}
that won't work because it would remove both date filters. I only want to remove the MONTH date filter.
However, this
{EXCLUDE [MONTH(Date mdy)]: SUM([count.Attrition])}
is an invalid expression and this:
{EXCLUDE MONTH([Date mdy]): SUM([count.Attrition])}
is allegedly valid but doesn't actually work.
Hack-R, how about using FIXED, I think that should help solve this:
{FIXED [Year] : SUM([count.Attrition]) }
Using FIXED is basically forcing Tableau to calculate aggregate measure at specific level - in this case on Year
[Year] is just a simple calculated field which returns Year value.
YEAR([Date mdy])
Creating a dedicated calculated field is probably not really necessary in Tableau 10, but it's just my personal preference to keep things organized.
You might be wonder why EXCLUDE didn't work - I think the main use-case is different with INCLUDE/EXCLUDE and probably best explained in this (a bit lengthly) article.
Hope this helps.
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.