I'm a newbie when it comes to Google Doc Filters and I would appreciate some help.
I got a list with articles where I would like to filter by company (in this case SONY), but also filtering by lowest price combined with lowest shipping costs.
Example: the first filter I created, creates a list with SONY articles.
=(filter(A2:D12;A2:A12="SONY"))
Now I would like the filter to give out a single row, where the price and the shipping costs are the lowest, in this case, the product is:
SONY headphones with the price of 20 and shipping costs of 2,99
Im basically trying to combine the filters:
=(filter(A2:D12;A2:A12="SONY"))
=SMALL((C2:C12);2)
=SMALL((D2:D12);2)
in one single, long filter
Thank you
SEE SCREENSHOT HERE
Solution:
FILTER would not work in your case because you have a priority column to be filtered, in this case, column A before C and D.
You may use QUERY instead:
=QUERY(A2:D12,"select * where A='A' order by C+D limit 1")
This would select the entry with a specified value in column A (company), then order by the sum of C and D (price+shipping) in ascending order, and then output the first row, which is the minimum.
Sample Sheet:
References:
QUERY function
QUERY language
Related
My company has tasked with slicing the information on turnover and to create different graphs.
My source data looks like this: Relevant columns are: Voluntary/Involuntary, Termination Reason, Country, Production, and TermDateKey
I am trying to get counts using different filters on the data. I managed to get the basic monthly total using the formula:
Term Month Count = GROUPBY('Turnover Source','Turnover Source'[TermDateKey],"Turnover Total Count", COUNTX(CURRENTGROUP(),'Turnover Source'[TermDateKey]))
This gave me a new sheet with the counts for each month.
Table that shows TermDateKey on Column 1, and Counts on column 2
I am trying to add onto this table by adding counts but using different filters.
For example, I am trying to add another column that gives me the monthly count but filtered for 'Turnover Source'[Voluntary/Involuntary]=="Voluntary". Then another column for 'Turnover Source'[Voluntary/Involuntary]=="Involuntary" and so on. I have not found anywhere that shows me how to do this and when I add in the FILTER function it says that GROUPBY(...) can only work on CURRENTGROUP().
Can some one point me to a resource that will give me the solution I need? I am at a loss, thank you all.
It looks like you may not be aware that you don't have to calculate all possible groupings with DAX formulas.
The very nature of Power BI is that you use a column like "Termination Reason" on an X axis or in the legend of a visual. Any measure that you have created on values of another column, for e.g. a count of all rows, will then automatically be calculated to be grouped by the values in "Termination Reason", giving you a count of each of the values in the column.
You do NOT need DAX functions to calculate the grouping values for each measure for each column value combination.
Here is some simple sample data that has been grouped into dates and colours, one chart showing a count of each colour and one chart showing a sum of the Value column. No DAX was written for that.
If your scenario is different, please explain.
It is hard to describe my question in the subject line. Here is an example.
I want Tableau to run query to show only Account ID that has both 2 products i selected in Product A quick filter.In this example only the second Account ID should qualify . Is this possible?
Thanks for your help in advance!
Hmm, good question. It is not possible in the way you want (at least I can't think of a way to do that), with quick filters.
I can solve your specific problem (filtering customers that have at least 2 specific products in their history), but expanding for variable n products can be really troublesome.
So first thing, create 2 parameters. Product1 and Product2. Each is a string, and you can get a list from the [Product A] field. You will use this 2 parameters to specify the 2 products you want.
Now create a calculated field, [Product flag]:
IF [Product A] = [Product1] OR [Product A] = [Product2]
THEN 1
END
Now drag [Account ID] to the filters shelf. Open the filter options and go to condition. Now select By field, [Product flag], Sum, = 2
That will work if there are not duplicated [Product A] under the same [Account ID]. If that can happen, you need a little bit more sophisticated approach. [Product Flag] becomes:
IF [Product A] = [Product1]
THEN 1
ELSEIF [Product A] = [Product2]
THEN 2
END
And the condition should be Count (Distinct) = 2
In both cases it will keep only the Account IDs that have both the products you selected under them. They can have other products under them.
EDIT: For the N product problem, I believe you're going to use a solution outside Tableau. One possibility is to use the JS API, so you can select the products you need in a JS interface, and pass a parameter to Tableau.
In JS you could have a list you could select as many items you want, and a script to pass a parameter to Tableau based on the selection. Could be something like: product1,product2,product3...
Then you could use CONTAINS() to see if that product is in that list (and raise a flag), and make a count of ',' to see how many products were selected.
Unfortunately I have very limited knowledge on JS API, but I strong encourage you to take a look
Really interesting question. It's surprisingly trickier to list the accounts that reference every product in a list than it is to list the accounts that reference any product in a list.
If you are willing to start with a less convenient user interface (suitable for ad-hoc analysis but not published dashboards) then try the following:
Create a filter based on Account Id, select Use all on the General tab, and By formula on the Condition tab. Enter the formula
Count(if [Product A] = "Business Office Consolidation" then 1 end) > 0 and Count(if [Product A] = "Cabled Barcode Scanner" then 1 end) > 0
This will only filter to only include Account IDs that reference both products. You can extend this to a list of any number of required products. For relational data sources, it is implemented using a HAVING clause.
Of course, it can be tedious to revise this formula by hand, but it is one way to accomplish your analysis goal, and it can be instructive to understand how filter conditions work. Similar formulas are useful for many conditions.
You can create one or more dynamic sets using the same approach and then use them in calculated fields, any shelf in Tableau and combine them to create new sets. You can also move the formula to a calculated field for convenience.
Note, the 1 in the formula is not significant, any non-null value would work. Since there is no else clause, the formula evaluates to null for rows that fail the if test. And the Count() function just counts the number of rows that have non-null values for the expression.
To come up with an approach that lets you easily select products from a list without editing a formula, will probably take some combination of more advanced features. I don't have an answer for you right now, but the features that are worth learning about that may or may not be part of the solution include filter actions, context filters, top filters, count distinct, custom SQL, computed sets, table calculations, LOD expressions and the Javascript API. This would also be a good questions to pose, with an example workbook, on the Tableau online forums at http://www.tableau.com under the Support menu.
We are using Endeca to fetch and display records in frontend as a datagrid. In that datagrid, we have 10 columns and we display data sorted in table on the basis of 2 columns (say X and Y). For this, we use Endeca.stratify(collection()/record[not%20(X)])||X|1||*,Endeca.stratify(collection()/record[not%20(Y)])||Y|1.
We can also apply filter on the columns where we display data sorted asc/desc. We used Dynamic Ranking in Endeca and created dimensions for each field with selecting dynamic ranking and set maximum dimension value to return as 20 as per the requirement. Since we know that dynamic ranking is the relevancy ranking, it fetches most used records and does sorting on that data.
However, we need to select 20 unique values and sort them in asc/desc order. Example: if we have date as the column, then we need to fetch 20 unique dates with most recent at the top. i.e. in descending order.
Is there any other way to do sorting on filter apart from dynamic ranking? If we disable dynamic ranking, then we won't have option to set maximum dimension value as 20 from developer studio.
Please suggest for the ranking.
We finally found a solution!! I removed/unchecked "dynamic ranking" for the properties in dimensions from the pipeline using developer studio. I did not want it to remove since we had already selected an option as sort "alphabetically" instead of "dynamically" in dynamic ranking tab in dimensions.
Also, if we uncheck dynamic ranking then the option for giving maximum limit for displaying the dimensions (which was set 20 for us as per the requirement) was also gone.
So, I handled this in java to display only 20 values by putting a check on results obtained and created a counter which would add values only till the 20 are received. Now this is working as required!!!!!
I have two different scripted data sets that I am pulling data from and aggregating (on the same key). What I want to do is to display one one line the aggregated data from both sources. The data is coming from a scripted data source (POJOs).
A simplified example is given below in which an Order has many Components, with each component being for a different customer at a different quoted price. Then when each Order is filled in different lots (or Fills) at different prices. I want to be able to produce a summary of each Order with the total Ordered and Filled quantity, and the weighted average quoted price and filled price.
An Order Component table
Order ID, Customer Num, Qty, Quoted Px
Ord01,Cust01,3,100
Ord01,Cust02,3,102
Ord02,Cust01,5,200
Ord02,Cust03,5,204
And then a Order Fullfillment table
OrderID,FillId,Qty,CostPx
Ord01,F01,4,100
Ord01,F02,2,106
Ord02,F03,2,200
Ord02,F04,8,210'
I would like to display something like this:
Order ID, Order Qty, Fill Qty, Avg Order Px, Avg Fill Px
Ord01, 6, 6, 101, 102
Ord02, 10, 10, 202, 208
I've tried using subreports and that seems to be able to get me the results but in a terrible format. The subtable headers repeat so every order gets it's own headers.
You may want to create a BIRT joined dataset between your two scripted datasets, based on a full outer join on the "order ID" column, and then use this joined dataset in your report. It should meet your needs.
I solved my problem by more or less following the following guide.
So I created a List linked to my first data source. I then added a group on Order ID so that I had one list row per Order. In the group header I added a 2x1 grid, I placed a table of the Order Components into one side of the grid and a table of Fills into the other. I had to add filters to both of these so that they only contained data for the correct OrderId. I then grouped the tables by OrderId, added my aggregation fields.
All that is left is to set the visibilty. So I set the visibility of the table details to false. In order to only show the table header once (instead of once per order) I added a Running Count aggregation to the List and set the visibiity to invisible when this aggregation was greater than 1.
Was actually quite easy in the end but took me ages to work out how to do it.
I've got a multiple tabbed report. On one tab I have the details listed and on another I have a summary table (cross reference) type of aggregation based on the same dimensions utilized in the detail report. I've created a calculated field that takes the product of two measures, I've saved this as a variable. When I try to aggregate that variable on the summary report BOWI is not calculating correctly. Example:
QTY * PRICE = LineTotal
2 * 3 = 6
4 * 3 = 12
TotalOrder = $18
Calculates correctly on the detail report.
When I put this on the aggregate report it is doing the following:
Sum QTY * Sum Price = Total, in other words it is doing
6 * 6 = $36.
My totals on the aggregate are highly inflated. Firstly in what world does that order of precedence make sense? and secondly how can I tell BOWI to sum the TotalOrders instead of breaking it back up into it's components summing those and then multiplying?
Is it a bug?
Further Information
The detail report is Sectioned by Year, Region, State -> Detail lines
The summary report is dimensioned by Year, Region, State
The (QTY * PRICE) component is saved as a variable and utilized in both places.
Am I missing the secret handshake somewhere when calculated fields/variables can't be aggregated and they need to do so in the Universe?
I havent worked with WEBI for a while, I mainly develop DESKI reports, however what you describe sounds similar to the aggregation that occurs in DESKI. If a measure is set to sum aggregation, then it will add all the measures together that relate to the dimension that is added to the report.
For example, if like my details reports, you have the columns order number, qty, price then the aggregation will sum both qty and price at the order level, which is correct. However moving to the summary table then this will cause incorrect data.
To remove the aggregation you can change it from SUM to NONE, I cant recall off the top of my head on how to do this in WEBI (if you cant find out I can check my course materials which are work).
Alternatively, it is best to ensure the dimensions on your summary report are suitable for the data presented.
If you need any further information please let me know.
Matt