I'm looking for a method to run a gap and overlap analysis across a set of data 1000-ish rows. Data are teams ranking their test coverage of each feature as 1, 2 or 3, Scores. I want to look for gaps across the rows where no group has scored it a 1 and also show where multiple groups rank as 1. A snapshot of the data table is below.
| Feature # | FVT | EVT | CVT | MSV | GQ | Cert | HW | PE | MFG Test | PDE | TCM / FAE? |
| 1 | 1 | | 2 | 3 | | 3 | 1 | 2 | 2 | | |
| 2 | 1 | | 2 | 3 | | 3 | 1 | 2 | 2 | | |
| 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| 4 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 3 | 3 | 3 |
| 5 | 1 | | 2 | 2 | | 3 | 3 | 2 | 2 | | |
| 6 | 1 | | 2 | 2 | | 3 | 3 | 2 | 2 | | |
| 7 | 1 | | 2 | 2 | | 3 | 3 | 2 | 2 | | |
| 8 | 1 | | 2 | 2 | | 3 | 3 | 2 | 2 | | |
I am not exactly sure what you are looking for, but here is a little script I wrote that produces the results I think you want
Names Default To Here( 1 );
dt = Data Table( "MuMover Example" );
colNames = dt << get column names( continuous, string );
Remove From( colNames, 1, 1 );
Remove From( colNames, -2, 2 );
columnsWithNoOnes = {};
For( i = 1, i <= N Items( colNames ), i++,
Summarize( dt, byGroup = By( colNames[i] ) );
If( Contains( byGroup, "1" ) == 0,
Insert Into( columnsWithNoOnes, colNames[i] )
);
);
featureWithMultipleOnes = {};
countOfMutipleOnes = {};
For( i = 1, i <= N Rows( dt ), i++,
temp = Loc( dt[i, Index( 2, 10 )], 1 );
If( N Rows( temp ) > 1,
Insert Into( featureWithMultipleOnes, i );
Insert Into( countOfMutipleOnes, N Rows( temp ) );
);
);
New Window( "Results",
H List Box(
Outline Box( "Groups with No 1's",
Table Box( String Col Box( "Group", colNamesWithNoOnes ) )
),
Spacer Box( size( 15, 0 ) ),
Outline Box( "Features With Multiple 1's",
Table Box(
Number Col Box( "Feature", featureWithMultipleOnes ),
Number Col Box( "Count", countOfMutipleOnes )
)
)
)
);
Thanks for getting back to me Jim. I should have been more clear on desired outcome. My goal is to have a Feature table showing what group has entered an 1 in their cell and if no groups have entered a 1. For example: in the table above the first feature has two groups showing a 1, FVT and HW, so for that feature the outcome would be FVT HW. For feature 3, no group claims a 1, so outcome for feature 3 would be "Gap". Hope that makes sense.
