For example I want to filter my data based on next filter expression:
lead_veh_of_interest starts with 'BMW 1'
OR
sale_model starts with 'BMW 1'
how can I achieve this?
Are these fields both in the same table? If so you could create a calculated column that performs that conditional. Then filter the view on the resulting calculated column.
For example you could create the following calculated column.
Calculated Column: "Starts With BMW 1"
Equation:
=IF(OR(Left([lead_veh_of_interest starts], 5) = "BMW 1", Left([sale_Model], 5) = "BMW 1"), 1, 0)
Then in the view set the filter so that [Starts With BMW 1] = 1
I found acceptable solution (thanks for all suggestions - it was very helpful).
First of all I redesigned my model and (how #Mike_Honey suggsts me) created dedicated table with consolidated information I want to filter. Next I connected this new table with existing tables and created hierarchy from fields I want to give to the end users for step-wise filtering (previously I split down old fields contained information I want to filter into more granular level). Now it is possible to filter data by any combination of models in any combination of request types (sale, lead, competitor, etc) using hierarchy.
Related
I have the following question!
I have a table like this:
Data Source
I want to create a field(i suppose it's a field) that i can take the apl_ids,
that have as service_offered some that i want.
Example from the above table. If i want the apl_ids that have ONLY the service_offered
Pending 1, Pending 2 and Pending 7.
In that case, I want to get the apl_id = "13" since apl_id = "12" got one more service that i don't need.
Which is the best way to get that?
Thank you in advance!
Add a calculated field which gives 1 for desired values and 0 for other values. Add another calc field with fixed LOD to apl_id to sum of calcF1. Filter all ids with values=3 only. I think that should work.
Else tell me I will post screenshots
You can create a set based on the field api_id defined by the condition
max([service_offering]=“Pending 1”) and
max([service_offering]=“Pending 2”) and
max([service_offering]=“Pending 7”) and
min([service_offering]=“Pending 1” or [service_offering]=“Pending 2” or [service_offering]=“Pending 7”)
This set will contain those api_ids that have at least one record where service_offering is “Pending 1” and at least one record with Pending 2 ... and where every record has a service offering of 1, 2 or 7 (I.e. no others)
The key is to realize that Tableau treats True as greater than False, so min() and max() for boolean expressions correspond to every() and any().
Once you have a set of api_ids() you can use it on shelves and in calculated fields in many different ways.
I have created 4 separate tables via sql code on sqlserver and I want to create one filter for all 4 using a common column i.e. month on power query. Usually, I would create 4 pivot tables and create 4 slicers for say, month. Can I dynamically create just one filter for the 4 pivots on PQ? I have seen examples of anti-joins but I don't see this working in my example. If any questions like this already exist, links to them will be much appreciated.
Cheers,
Mo
Table.SelectRows can takes a function as its second parameter, so you can create your filter function in one query and reference that query in the parameter.
For example, if I wanted to filter a column Value to only have numbers greater than 30, you would create a query with the following formula:
= (row) => row[Value] > 30
Let's call that query FilterValue. Then, if you wanted to use this filter on a table in step Step, you would add the following step (with the fx button next to the formula bar):
= Table.SelectRows(Step, FilterValue)
If you need to use the filter again in another query with the step OtherStep, add the following step:
= Table.SelectRows(OtherStep, FilterValue)
How can I filter rows for my Dropdown control?
Currently I'm binding Items property to column e.g. Items=Table1.Name
but this populates dropdown with all possible rows. I want to filter all rows in which another column meets condition e.g. Table1.Date=Today()
You can use a Filter expression in the Items property of your dropdown control:
Items: Filter(Table1, Date = Today())
And you can select which field of your table to show in the dropdown by using the Advanced view (in the case below, Name, as you had in your example):
Just a note that I had to do something a little more complex for filtering out results for a SQL source where I also needed a Distinct.
The basic idea is I wanted years out of a table, but only last year and whatever years we had listed. Also worth noting the 500 row limit was a bit of an issue against my original date table, and so this only works with smaller tables.
In my case, I needed to create a view to reduce the data granularity
Distinct(Filter('[dbo].[YearList]', YearNumber >= Year(Now()) -1), YearNumber)
I have a pivot table chart in QlikView that has a dimension and an expression. The dimension is a column with 5 possible values: 'a','b','c','d','e'.
Is there a way to restrict the values to 'a','b' and 'c' only?
I would prefer to enforce this from the chart properties with a condition, instead of choosing the values from a listbox if possible.
Thank you very much, I_saw_drones! There is an problem I have though. I have different expressions defined depending on the category, like this:
IF( ([Category]) = 'A' , COUNT( {<[field1] = {'x','y'} >} [field2]), IF ([Category]) = 'B' , SUM( {<[field3] = {'z'} >} [field4]), IF (Category='C', ..., 0)))
In this case, where would I add $<Category={'A','B','C'} ? My expression so far doesn't help because although I tell QV to use a different formula/calculation for each category, the category overall (all 5 values) represents the dimension.
One possible method to do this is to use QlikView's Set Analysis to create an expression which sums only your desired values.
For this example, I have a very simple load script:
LOAD * INLINE [
Category, Value
A, 1
B, 2
C, 3
D, 4
E, 5
];
I then have the following Pivot Table Chart set up with a single expression which just sums the values:
What we need to do is to modify the expression, so that it only sums A, B and C from the Category field.
If I then use QlikView's Set Analysis to modify the expression to the following:
=sum({$<Category={A,B,C}>} Value)
I then achieve my desired result:
This then restricts my Pivot Table Chart to displaying only these three values for Category without me having to make a selection in a Listbox. The form of this expression also allows other dimensions to be filtered at the same time (i.e. the selections "add up"), so I could say, filter on a Country dimension, and my restriction for Category would still be applied.
How this works
Let's pick apart the expression:
=sum({$<Category={A,B,C}>} Value)
Here you can recognise the original form we had before (sum(Value)), but with a modification. The part {$<Category={A,B,C}>} is the Set Analysis part and has this format: {set_identifier<set_modifier>}. Coming back to our original expression:
{: Set Analysis expressions always start with a {.
$: Set Identifier: This symbol represents the current selections in the QlikView document. This means that any subsequent restrictions are applied on top of the existing selections. 1 can also be used, this represents the full set of data in your document irrespective of selections.
<: Start of the set modifiers.
Category={A,B,C}: The dimension that we wish to place a restriction on. The values required are contained within the curly braces and in this case they are ORed together.
>: End of the set modifiers.
}: End of the set analysis expression.
Set Analysis can be quite complex and I've only scratched the surface here, I would definitely recommend checking the QlikView topic "Set Analysis" in both the installed helpfile and the reference manual (PDF).
Finally, Set Analysis in QlikView is quite powerful, however it should be used sparingly as it can lead to some performance problems. In this case, as this is a fairly simple expression the performance should be reasonable.
Woa! a year later, but what you are loking for is osmething near this:
Go to the dimension sheet, then select the Category Dimension, and click on the Edit Dimesnion button
there you can use something like this:
= If(Match(Category, 'a', 'b', 'c'), Category, Null())
This will make the object display only a b and c Categories, and a line for the Null value.
What leasts is that you check the "Suppress value when null" option on the Dimension sheet.
c ya around
Just thought another solution to this which may still be useful to people looking for this.
How about creating a bookmark with the categories that you want and then setting the expressions to be evaluated in the context of that bookmark only?
(Will expand on this later, but take a look at how set analysis can be affected by a bookmark)
I have a query to pull clickthrough for a funnel, where if a user hit a page it records as "1", else NULL --
SELECT datestamp
,COUNT(visits) as Visits
,count([QE001]) as firstcount
,count([QE002]) as secondcount
,count([QE004]) as thirdcount
,count([QE006]) as finalcount
,user_type
,user_loc
FROM
dbname.dbo.loggingtable
GROUP BY user_type, user_loc
I want to have a column for each ratio, e.g. firstcount/Visits, secondcount/firstcount, etc. as well as a total (finalcount/Visits).
I know this can be done
in an Excel PivotTable by adding a "calculated field"
in SQL by grouping
in PowerPivot by adding a CalculatedColumn, e.g.
=IFERROR(QueryName[finalcount]/QueryName[Visits],0)
BUT I need give the report consumer the option of slicing by just user_type or just user_loc, etc, and excel will tend to ADD the proportions, which won't work b/c
SUM(A/B) != SUM(A)/SUM(B)
Is there a way in DAX/MDX/PowerPivot to add a calculated column/measure, so that it will be calculated as SUM(finalcount)/SUM(Visits), for any user-defined subset of the data (daterange, user type, location, etc.)?
Yes, via calculated measures. calculated columns are for creating values that you want to see on rows/columns/report header...calculated measures are for creating values that you want to see in the values section of a pivot table and can slice/dice by the columns in the model.
The easiest way would be to create 3 calculated "measures" in the calculation area of the powerpivot sheet.
TotalVisits:=SUM(QueryName[visits])
TotalFinalCount:=SUM(QueryName[finalcount])
TotalFinalCount2VisitsRatio:=[TotalFinalCount]/[TotalVisits]
You can then slice the calculated measure [TotalFinalCount2VisitsRatio] by user_type or just user_loc (or whatever) and the value will be calculated correctly. The difference here is that you are explicitly telling the xVelocity engine to SUM-then-DIVIDE. If you create the calculated column, then the engine thinks you want to DIVIDE-then-SUM.
Also, you don't have to break down the measure into 3 separate measures...it's just good practice. If you're interested in learning more, I'd recommend this book...the author is the PowerPivot/DAX guru and the book is very straightforward.