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**Statistical Thinking for Industrial Problem Solving**

In this video, we use the **Chemical Manufacturing** data to show how to use the Column Switcher in JMP.

The Column Switcher makes it easy to explore or analyze different variables, without rerunning the analysis each time.

To start, we need an analysis. We’ll create comparative box plots using **Graph Builder** from the **Graph** menu.

We drag **Yield** to the **Y** zone, open the **Vessel Size** group, and drag **Vessel Size** to the **X** zone. Then we drag and drop the box plot icon onto the graph frame. This produces comparative box plots for **Vessel Size** and **Yield**. The yields for the large vessel appear to be lower, in general, than the yields for the smaller vessels.

There are several other categorical variables that we’d like to explore.

To do this, we could drag each variable, one at a time, to the **X** zone. This updates the analysis with the values of each variable.

A more efficient way to explore each of the variables is to use the Column Switcher.

First, we click the **Done** button to close the control panel. Then we select **Redo**, **Column Switcher** from the red triangle menu.

We’ll switch out **Vessel Size** with all of the other categorical input variables in the **Vessel Size** group.

Now, when we click a variable name under **Column Switcher**, the graph is automatically updated with the values for this variable.

Note that the Column Switcher can be used within any analysis.

So, for example, let’s say we use **Analyze**, **Fit Y by X** to create a mosaic plot and a contingency table for the categorical response, **Performance**, and a categorical input variable, **Vessel Size**.

We can use the **Column Switcher** to easily update this analysis for all of the other categorical .

When you have many variables that you’d like to analyze or explore, use the Column Switcher. This enables you to efficiently analyze all of the variables, without re-creating the analysis each time.