Using JMP - SAS

Chapter 6 Reshape Data 187
Concatenate Data Tables
Figure 6.20 Result of Concatenating Two Data Tables
Concatenated data tables always have a column for every column name found in the original data tables.
However, if the column names do not match exactly, they are not merged. For example, if the yield column
was instead named yield1 and yield2, a separate column would be created for each in the concatenated data
table.
When you concatenate two or more data tables containing table variables, separate columns are created for
each table variable. This ensures that important distinctions are not lost when concatenating data tables.
Note: Columns are not created for table variables that begin with the name Notes.
Example of Concatenating Data Tables and Table Variables
For example, suppose that two cancer trials were conducted at two different hospitals. One of the trials’ data
is in the Cancer1.jmp data table, and the other trial’s data is in the Cancer2.jmp data table.
Consolidate the data and the variables into one table, as follows:
1. Open the Cancer1.jmp and Cancer2.jmp sample data tables.
Notice that there are two distinct table variables: Dosage Amount and Location. In the concatenated
table, columns will be created for these two table variables.
2. From the Cancer1.jmp data table, select Tables > Concatenate.
3. Select Cancer2 and click Add.
4. Click OK.