The matrix below has column totals under the red line. The pivoted column group columns are highlighted in yellow to the right of the vertical red line. The columns in the white to the left are not pivoted.
So it looks like the totals under the pivoted yellow columns are correct,
but the totals under the regular columns are totally wrong.
Those are simple =Sum(Fields!columnX.Value) totals in a group total row.
Matrix design is as follows (wherever you see "Expr" it is simply that Sum multiplied by a temporarily used constant 1, except where I deleted that from pour_weight for simplicity):
It appears that SSRS totals the left columns BEFORE pivoting the right columns, which is a total disaster.
What am I doing wrong?
Ended up creating a 2nd dataset without detail columns and with the Sums of each on the remaining columns, then using a Lookup function in the matrix cells to find the correct group's correct total.
Related
I want to sort my matrix by each column. The matrix has 200 columns. sorting has to be done one column at a time and the order of the other column should not be affected.
Please help me with this.
This is a programming problem.
Suppose we have an n x m array, and each grid contains an integer greater than or equal to 0.
enter image description here
We can choose to draw a vertical line or a horizontal line.
In the grid where this line passes, the number in it will be reduced by one (not less than 0).
Example: If we draw a horizontal line.
enter image description here
So how many lines do we need at least to reduce the numbers in the grid to zero?
I have thought about using brute force search method and dynamic programming method
But there is no clear proof to prove that my idea is right.
Can someone help me solve this problem?
thanks.
I think that the dynamic programming approach is rather clear and provable.
You start with a singleton list of your start grid.
At each stage, you take each grid in the current list and for each row and column in that grid that isn't already completely zero produce a new grid that has all cells in this row or column reduced by one. Then remove duplicates. Count the stages until you have the all-zero grid.
This can be optimized by only producing two new grids for each grid, choosing either a row or column for the highest remaining cell.
I created a table on Data Studio that shows the columns:
A: Date
B: 1st metric (number)
C: 2nd metric (number)
D: custom formula to calculate the ratio between the 1st and 2nd metric (percentage)
Then I checked the option to show the Summary Row that sums all the values of each date. But in the column D I don't want it to calculate the sum of the values in column D (nor the average of the values), instead, I want the ratio between the sum of the values of column D and C. How to achieve that?
To have the calculated field correctly in the total, you have to make sure to aggregate your calculated field. To do so, use 'sum()' in your calculation.
That would be this formula:
sum(total sales)/sum(gross sales)
I hope this answers your question!
In Power BI, I have the next problem. I have a matrix with subtotals and I want to expand one of the subtotals and continue seeing the value of the rest subtotals, but they disappear when I expand one of the subtotals. How can I do to continue showing those values?
Original Matrix
Expanded Matrix
I have highlighted in yellow where I would like to continue seeing the subtotal (like in the original matrix when it wasn't expanded).
PS: I have the option Row Subtotals On
Thanks!
I have a huge dataset that is broken down into counts per tree. So there are 15 counts made per tree. I need to make an average of counts of egg.scars (column name) within each tree. I don't want an average of the whole column like I keep getting, I need an average egg scar count per tree.
Thanks!
you can extract specific rows of a column by doing eggs[1:5,5] where 5 is your column and 1:5 are the rows from 1 to 5 and eggs your dataframe and then do mean(eggs[1:5,5])