It is great that Graph Builder allows you to display multiple nominal values in parallel along an axis, either with points or via the parallel plot.
Please try , provided by @jthi .
This type of plot is useful to visualize correlations and root causes in the data.
Unfortunately, if some of the entries have missing data, it's hard to distinguish between real "splits" - and accidental splits (missing vs. available data). This problem could be solved by increasing the transparency for missing data. Unfortunately, the only way I know how to selectively add transparency is: via the color dropzone. But due to the way the data is displayed in parallel, this is a dead end:
How can I generate a plot like this:
... or is there another, better way to mark missing data?
dt = Open( "$SAMPLE_DATA/Hair Care Product.jmp" );
for each({i},{1,3,6,8},
rows=associative array(J(1,50000,Random Integer(120000))) << get keys;
dt [rows,i] =J(n items(rows),1,.);
);
rows = dt << get rows where(contains(:Residence,"Rural"));
dt [rows,"Residence"] =J(n items(rows),1,.);
Graph Builder(
Summary Statistic( "Median" ),
Graph Spacing( 4 ),
Variables(
X( :Promotion ),
X( :Purchase, Position( 1 ) ),
X( :Gender, Position( 1 ) ),
X( :Hair Color, Position( 1 ) ),
X( :U.S. Region, Position( 1 ) ),
X( :Residence, Position( 1 ) ),
X( :Validation, Position( 1 ) )
),
Elements( Points( X( 1 ), X( 2 ), X( 3 ), X( 4 ), X( 5 ), X( 6 ), X( 7 )) )
);
