I am looking at how survey responses change over time. Each participant is entered as a row. Is there a way to see how each participant's anwers vary over time? For example, we have a survey that was given annually for 3 years. For yes or no questions (answers coded 1 or 0), I would like know how many people answered 1 the first year, then 0 for the two subsequent years etc.
To get a row count of each combination you can use Summary in the Tables menu. Enter the three year-columns as grouping variables. That will give you a table with a column "N Rows" that represent the number of rows for each 1-0-0, 1-1-0 etc.
The parallel plot is a way to visualize data across rows. But otherwise JMP provides more options with data arranged in columns. The Stack command (Tables menu) is an easy way to stack a horizontal data set that automatically creates a grouping columns based on the names of stacked columns.
MS gives some good options.
Here's another...the Categorical platform will handle these three responses as "Repeated Measures". In this way you'll get a transition report showing the changes from one period to the next.