The shading of the histogram also highlights the corresponding rows in the data table, as well as all other histograms in the same or in different, yet open, analysis windows. This allows one to highlight a range of values on one histogram, such as high production rates, and then look at other histograms to see the distribution of the corresponding values. These features are illustrated in Display 2. Display 2 Sample JMP output illustrating the interactive histogram shading To prepare for an interactive histogram session, a sufficient amount of process data is needed. The question of how much is sufficient will depend on the scope of the problems under consideration, and perhaps more importantly, how much is available.
Histograms are sensitive to changes in bin width and midpoints for small amounts of data.
While holding down the first mouse button, drag the hand up to decrease or down to increase the bin width. Dragging left and right will shift the midpoints of the bins. The larger the data set, the less sensitive the histogram shape will be to these changes. Given the right group of participants, one can expect to come away from such a session with a number of process improvement ideas, proof of process improvement successes, and most likely questions about the process that need further research. In two hours, we looked at over 100 process variables with two goals in mind.