Reputation: 51
I am working on creating a pivot table for the data I have. The data looks something like below:
ID Policy_July Policy_June Policy_May Policy_April Label 13 High Med High High High Good 2 Low Low Low Low Low Good 3 Low Low Low Low Low Good 4 High Med High High High Good 5 High Low High High High Good 6 Low Low Low Low Low Bad 7 High Med High High High Bad 8 High Low High High High Bad
I am comparing results from July with other months. Is there a way I can add a filter for row to enable me to change "Policy_June" to "Policy_March"? Basically, instead of having a filter for column, can I have filter for row in pivot table? If so, can you please guide me on how can I do it?
Again, what I am looking for is to have a filter button above the pivot table that would enable me to change "Policy_June" to "Policy_April".
Secondly, is there a way I can have "Grand Total" as a column (like I have at the bottom of pivot table)? I am trying to sum the value of "Bad" and "Good" for "High" and show the result in the column in yellow.
Let me know if you need any additional clarification.
Upvotes: 0
Views: 1022
Reputation: 8941
You can normalize your data by giving it a layout similar to this:
ID PolicyMonth Status Label
13 July High Good
13 June Med Good
13 May High Good
...
and create a Pivot with ID in vertical (Row Labels) and Status in horizontal (Column Labels) direction. You then can filter Row and Column Labels for a single (or multiple) values.
Not sure though how you would like to process the crosspoint data (Status, Label) as you only can sum/count/average/min/max by default ... this possibly may require conversion of Low/Med/High into numbers (0,1,2) and an average for the row total.
Edit
Further to your comments I understand you want to analyze a Delta ...
columns A..G contain original data
columns H..L contain a numeric representation according to formula
H5: =IF(B5="High",2,IF(B5="Med",1,0))
cells C1 and C2 contain the month names to be compared ... they are identical to headers in H4..L4; change as you like ... data validation using a list of values and in-cell drop-down is thinkable
column M - big trick - is calculated using INDEX and MATCH functions, i.e.
M4: =INDEX(H5:L5,1,MATCH($C$1,$H$4:$L$4,0))-INDEX(H5:L5,1,MATCH($C$2,$H$4:$L$4,0))
Pivot table is created with Diff as Row Label and count(ID) as data, displaying the ones that stayed flat (0), jumped up or down by 1 or 2 levels ... this of course can be filtered to supress or highlight the ones staying equal.
Result in Diff could be further processed into a DiffText using nested IF's and displayed in pivot rows instead of Diff
in screenshot: 3 ID's stayed unchanged, 3 ID's improved by 1 level, 2 ID's improved by 2 levels
Pivot table can drill down to the ID level to show WHO were the good/bad guys if you add ID to the row labels
Hope this comes closer than my 1st attempt.
open image in new tab to get larger size
Upvotes: 2