Ten random data are extracted from the equipment and created as a CSV file. If the generated data is manually processed, the files must be stacked 10 times, saved in a JMP table, and then a graph must be created after removing missing values, which takes a considerable amount of time, making it difficult to immediately check whether the data is abnormal. Therefore, we would like to demonstrate a method to automatically create a graph using Python or a JMP script for this task.
