Eclipse Birt - How to group dimensions in data cube - eclipse

Eclipse Birt - How to group dimensions in data cube?
I am trying to group dimensions in data cube and insert a sub total row based on ONE single dimension. However, I am not able to find an option to group the dimensions. And, the sub total row is applied to each record not a group.

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Power BI dynamic Filters on group by

Im fairly sure what im attempting is not the ideal way to do things due to my lack of knowledge of power BI but here goes:
I have two tables in the form of:
One has the actual power against wind and the other is a reference
I created calculated columns that add a corresponding binned speed to each row (so 1-2, 2-3, 3-4 etc)
I have filters and slicers applied on the page / visual that will keep changing.
What i want is to create a pivot or a grouped table that is changed dynamically based on my filters.
The reason i want this is currently the table ive got has totals that are averaged (because individual row is averaged) but i want a sum of an average by category. If i can have this as a calculated table instead of a visual (picture below) i would likely be able to aggregate this again to get what i want
so on the above table i want to totals to be sum of individual rows. I also want to be able to use these totals to carry out other calculations (simple stuff like total divided by fixed number etc)

Power Bi Clustered Column Chart to show % or row total

I am using Power Bi to produce several reports, one of it is the NPS score for support. However, I am coming across an issue with the clustered column chart. It is showing the value against the total number rather than for each row.
What I want to see if the following (within Excel),
The NPS score is shown as a percentage for each week.
e.g. Week 3 has the Promoter at 95.5% and Detractor at 4.5%
However, when using Power Bi, I am shown the following, which is a Percentage of the grand total, instead of each week.
Using a Matrix, I could see the following as total numbers.
I can copy this Matrix and show it as a Percentage of each Row, which is also correctly showing the results.
I have the dates already set up using a feeder table to allow me to get the week number etc from a date within the main raw data, so they sort in the correct order..
My Chart is using the following table entries
Cal Week and WeekNo are both from the feeder table (Fiscal)
Net Promoter and Count of Case Num are from the RawData table.
How can I get the chart to show the percentages per week instead of the total?
I am also planning to use slicers to filter down further, for example, Regions (which are in the RawData).
I believe I will need to add an extra column to the RawData, but no idea what to put in it and then how to use that in the chart, and still allow it to slice.
Any help would be greatly appreciated.
Thanks
DD

tableau dual axis multiple variables

Hi I have some insurance data and I am trying to put multiple variables on my map but got stuck. I am using tableau public in my desktop.
To understand what I am plotting, I am interested in if the data is Direct or Agent and if the data is HO3 proudct or BC product. How my data is set up is one column is Direct HO3, another Direct BC, Agent HO3 and another Agent BC. It is broken down by zip with corresponding county.
I tried to use dual axis but with 4 combination first dual layer is Agency (HO3 & BC) and my second dual layer is Direct (HO3 & BC). I need help either putting 4 of these data by using color shelves or hide the second graph as shown. The two charts are the same but I can't get 4 data plotted at the same time. I can't seem to put all 4 columns of data plotted with 1 dual axis chart. All of my data are measures no dimensions except zip code and county column. I do think it has to do with how my raw data is but I am not sure how to modify my raw data so tableau will plot the way I need.
I created hide/un-hide fields to hide data that has 0 HO-3 policy count or 0 BC policy count. Second picture is from my raw data.
Looking at your dataset one thought that will work is you can pivot all 4 columns that you are planning to view on the sheet.
Create a chart with pivoted values and then drop the pivoted field name on to the color which will differentiate your measures and show to user

two cross product group with no data link in oracle matrix report

I have 2 cross product groups in my matrix report. I then place a formula column in my master group. Then I want to use this formula column in the other master group, but it gives me an error that both formulas must belong to same cross product group columns (have incompatible frequency).
Both of these cross product groups are not linked with data link.

Aggregating ratios in Crystal Reports pivot table

Simple pivot table:
In this case, I'm pulling back 5 fields from the database:
Category
Year
Quarter
Numerator
Divisor
2 unfortunate facts. First, the year/quarters drift to provide a rolling 8-quarter view. Consequently, there will usually be 1 full year and 2 partials with their respective quarters. Second, the measures to be displayed are ratios of numerator to divisor. Naturally, Crystal is assuming that I want to divide everything and then total it, which is not correct.
How do you get the pivot table totals to calculate correctly as SUM({Numerator})/SUM({Denominator})? Since there are multiple levels in play, the Sum({Numerator}, {Attribute})/Sum({Denominator}, {Attribute}) doesn't seem to work or I'm missing an extra element to it.
This crosstab is intended to replace a report that individually calculated every cell, and is not viable for long-term maintenance. If the totals can't be corrected, we'll have to revert back to that format.
Once you create a cross tab... you can insert saperate column or row inside the existing column using the option embeeded summary
Right click---> Embeeded Summary ---> insert embeeded summary
This will insert a row as Edit This Formula.
Now on the newly created cell
Right click---> Embeeded Summary ---> Edit Calculation formula
This will open a window there write your division formula.