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.
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.
Context:
I have a data set for the weights of truck and trailer combinations coming into my site over the span of a few years. I have organized my data by seasons as I am trying to prove that the truck:trailers in winter are noticeably heavier due to ice, snow, and mud. The theory is, if the tare weight is higher in this season (the weight of the truck after it empties its load) than its Avg tare weight (which I need to calculate from the data) it can be deduced that the truck:trailer combinations are coming in with extra weight that we pay for in part as some snow/ice/mud falls off in the trailer emptying process.
What I've done so far:
I've defined a custom date range for my seasons
I've grouped Truck:Trailer by: count to get a duplicates column and, all rows to keep all my details
I've filtered out every combination I've seen less than 50 times, as i want good representation for each truck:trailer combo so that I can better emphasize repeated patterns
I've added an index column to better keep track of the individuals before expanding the details
What I need to do:
I only want to work with truck:trailer combinations which have weighed in for all four seasons at least once
I need to find the average tare weight of the truck:trailer combinations based over the extended range for both summer and autumn (the dry time of the year) while preserving the raw tare data for all seasons, as I need to eventually compare the winter tare values to this average.
example of my data
When I'm finished I'd like the data to look something like this
Pivot Chart
query data
For your first question (all seasons) you can add a column that holds the distinct count of the values in [Season] for each [Driver:Trailer]. Then filter your table on that column, keeping only the 4's. To achieve this, add the following m-code to your script in the Advanced Editor. Change the part after in to #"DistinctCount Season"
#"DistinctCount Season" = Table.Join(#"insert name previous step","Driver:Trailer",
Table.Group(#"insert name previous step", {"Driver:Trailer"},
{{"DistinctCountSeasons", each Table.RowCount(Table.Distinct(_,"Season")),
type number}}),"Driver:Trailer")
Insert the name of your previous step where indicated.
For second question:
You can use a matrix-visual for that in you report. First create a measure:
[AverageTare] = AVERAGE(table'[Tare])
Then put [Season] on Rows and the [AverageTare] on Values. You can create a group (right-click on [Season] in the FIELDS-pain) called [DrySeason], to combine the values for Spring and Summer.
If that doesn't work for you, explore the AVERAGEX function.
EDIT
In excel you can use a pivottable. Put [Season] on Rows and the [AverageTare] on Values. Right-click a value in the pivottable. Select Value Field Setting and choose Average. Then select the Seasons you want to group, right-click and select Group.
EDIT 2
To add a column in the Power Query Editor that holds the average [Tare] for the [Season] in each row, add the following steps to your script in the Avanced Editor:
#"GroupedSeasonAvg" = Table.Group(#"Insert name previous step", {"Season"}, {{"AVG", each List.Average([Tare]), type number}}),
#"JoinOnSeason" = Table.NestedJoin(#"Insert name previous step",{"Season"},GroupedSeasonAvg,{"Season"},"AVGGrouped"),
#"ExtractSeasonAVG" = Table.ExpandTableColumn(JoinOnSeason, "AVGGrouped", {"AVG"}, {"SeasonAVG"})
It works something like this:
"GroupedSeasonAvg" : Creates a table with the avereges for each [Season]
"JoinOnSeason": Creates a new column with tables joining the [Season] value for each row to [Season] in the grouped table.
#"ExtractSeasonAVG": Expand each table and keep only [AVG].
I need help.
I am new to obiee (recently moved from business objects and re-creating all reports in obiee).
Here is an example I need help with. I have created an analysis where I am listing all orders with their target delivery dates and number of products in each order.
Order Id......Target Delivery Date...No of products
Abc....1/1/2016.....5
I want to add to a column next to No of products called "No of prods delivered on time". I want to compare delivery date of each product within a order with the target delivery date and
Give count of products delivered within the target date.. So the output should be
Abc....1/1/2016....5.....3
Where 3 is number of products delivered on time.
I could do it in BO by running two queries and merging them however in obiee I am not able to add second query to my analysis. I did try at product level using case when target date >=delivery date then 1 else 0 and wrapped this with sum function to aggregate but it didn't work ..
Appreciate your help in this. Searching for this topics give me results for running queries from multiple subject area :(
You also have unions in OBIEE, you union the results of 2 queries which return the same structure, so you have query A with Order ID, Target Date, No Products and a Dummy column with a 0 and default agregation Sum, and a second query with Order ID, Target Date, Dummy column summing 0 and the number of products delivered.
You do all this in the criteria tab of the analysis. It's important the order in which you put your columns, because that's what OBIEE is using to do the union.
Regards
I have looked through several of the posts on SSRS tablix expressions and I can't find the answer to my particular issue.
I have a dashboard I am creating that contains summary data for various managers. They are entering monthly summary data into a single table structured like this:
Create TABLE OperationMetrics
AS
Date date
Plant char(10)
Sales float
ReturnedProduct float
The data could use some grouping so I created a table for referencing which report group these metrics go into looks like this:
Create Table OperationsReport
as
ReportType varchar(50)
MetricType varchar(50)
In this table, 'Sales' and 'ReturnedProduct' are the Metric column, while 'ExecSummary' or 'Quality' are ReportType entries. To do the join, I decided to UNPIVOT the OperationMetrics table...
Select Date, Plant, Metric, MetricType
From (Select Date, Plant, Sales, ReturnedProduct From OperationMetrics)
UNPVIOT (Metric for MetricType in (Sales, ReturnedProduct) UnPvt
and join it to the OperationsReport table so I have grouped metrics.
Select Date, Plant, Metric, Rpt.MetricReport, MetricType
FROM OpMetrics_Unpivoted OpEx
INNER JOIN OperationsReport Rpt on OpEx.MetricType = Rpt.MetricType
(I understand that elements of this is not ideal but sometimes we are not in control of our destiny.)
This does not include the whole of the tables but you get the gist. So, they have a form they fill in the OperationMetrics table. I chose SSRS to display the output.
I created a tablix with the following configuration (I can't post images due to my rep...)
Date is the only column group, grouped on 'MMM-yy'
Parent Row Group is the ReportType
Child Row Group is the MetricType
Now, my problem is that some of the metrics are calculations of other metrics. For instance, 'Returned Product (% of Sales)' is not entered by the manager because it is assumed we can simply calculate that. It would be ReturnedProduct divided by Sales.
I attempted to calculate this by using a lookup function, as below:
Switch(Fields!FriendlyName.Value="Sales",SUM(Fields!Metric.Value),
Fields!FriendlyName.Value="ReturnedProduct",SUM(Fields!Metric.Value),
Fields!FriendlyName.Value="ReturnedProductPercent",Lookup("ReturnedProduct",
Fields!FriendlyName.Value,Fields!Metric.Value,"MetricDataSet")/
Lookup("Sales",Fields!FriendlyName.Value,Fields!Metric.Value,
"MetricDataSet"))
This works great! For the first month... but since Lookup looks for the first match, it just posts the same value for the rest of the months after.
I attempted to use this but it got me back to where I was at the beginning since the dataset does not have the value.
Any help with this would be well received. I would like to keep the rowgroup hierarchy.
It sounds like the LookUp is working for you but you just need to include the date to find the right month. LookUp will return the first match which is why it's only working on the first month.
What you can try is concatenating the Metric Name and Date fields in the LookUp.
Lookup("Sales" & CSTR(Fields!DATE.Value), Fields!FriendlyName.Value & CSTR(Fields!DATE.Value), Fields!Metric.Value, "MetricDataSet")
Let me know if I misunderstood the issue.
I can create drop down filter options for each of the dimensions in the spreadsheet: month, description, and type. using data validation and then sum(filter in Google Sheets. I want to include an option in the drop-down to include all months, include all types, etc. The end product would sum the amount based on the filters selected. I can sum(filter based on individual selections but my question is how to sum the amounts if one of the scenarios was: all months, groceries only, all descriptions.
https://docs.google.com/spreadsheet/ccc?key=0AgKUNhffHpmZdHZ3TGNXOUplN1R5UUlUSW5tVVp5b1E#gid=0
You'd have to use a Pivot Table. Then you have all this things in one view.
Select colums A to D. Go to Data/Pivot Table.
Add Month to Rows and Description to Colums (or vise versa) and add Amout to Values.
You'll see a total for all Descriptions/month and Grand total/month and /description.