Jmp graph builder points front8/28/2023 ![]() Change the Tick Label Orientation to Vertical. You see a window box of choices (see Figure 4.8). This toggles the smooth curve on and off. Select the icon that is second from the left on the palette of icons at the top (circled in Figure 4.7). These are the Element Type Icons.įigure 4.6 Right Mouse Click in the Graph Regionĩ. Additional visualization changes can be accomplished by choosing from the palette of icons across the top of the graph (see Figure 4.7). A menu appears, containing options to make graph changes. Right-click in the graph region to change the look of the graph (see Figure 4.6). Notice that the trend for the close prices is downward and a smoothing line is fit to the data.Ĩ. This action immediately produces a scatter plot with dates on the x-axis (see Figure 4.5). Now click and drag the Date column to the X drop zone. You should see a point graph (see Figure 4.4).įigure 4.4 Drag Adjusted Close to Y Drop Zoneħ. Close* column to the Y drop zone and release the mouse button. If you let go of the mouse button, you can always click the Undo or Start Over button to begin again.Ħ. Keeping the mouse button depressed, experiment by dragging the column into different drop zones to see what happens. You will notice that as soon as the column is dragged into the zone, a graph of that data is immediately displayed. Close* column from the Variables box to one of the labeled zones located around the graph canvas. In the Variables box, change the Volume column from Nominal to Continuous by clicking on the icon in the Variables box on the left (as in Figure 4.3).įigure 4.3 Change Volume from Nominal to Continuousĥ. Notice the columns in your data table appear on the left in the Variables box (see Figure 4.2).Ĥ. Select Graph ▶ Graph Builder (see Figure 4.1).ģ. First, open the sample data table TechStock, as indicated previously.Ģ. YearWeek the week of the year expressed as yyyy/week#ġ. Close the adjusted price of the closing price Volume the number of shares traded on that dateĪdj. Low the lowest price of the stock on that dateĬlose the closing price of the stock on that date High the highest price of the stock on that date The file we’ll use, TechStock.jmp, contains closing price data from selected technology stocks. We’ll be working with one of the sample data files to illustrate the steps in this section. You can find the data set at Help ▶ Sample Data ▶ Business and Demographic ▶ TechStock. You can repeat this process by adding more columns to view more complex displays. Once you release the mouse button, Graph Builder keeps that selection and allows you to tailor the display or select another column to begin exploring relationships. You can hold the column in a zone (without letting go) to get a preview of the graph, then move it to another zone to see an alternative display. Simply click a column in the Select Columns box and drag it (without letting go) to one of the zones located around the canvas. Graph Builder works in a drag-and-drop manner. Graph Builder is found under the Graphs menu when you select Graphs ▶ Graph Builder (see Figure 4.2). With Graph Builder, it is helpful to begin thinking about your problem and the columns that are central to your questions at hand. In many ways, Graph Builder is like a blank canvas waiting for your artistic direction. ![]() Graph Builder is a great tool to quickly see your data expressed in many different forms. Let us begin with finding the right picture of your data.Ĥ.1 Using Graph Builder to Produce Graphs of Data Because the former is geared toward interactively creating maps and graphs and the latter at numerical summaries, we cover them separately. While all platforms in JMP promote exploration, two features in particular-Graph Builder and Tabulate-are especially designed for this purpose. In this chapter, we take advantage of a key feature of JMP: its ability to create graphs, maps, and summaries interactively and intuitively. Reviewing your data in both ways can lead you to find the best way to display information. Second, you can learn a great deal about your data when you explore it both visually and numerically. First and foremost, you probably don’t know what your data is going to tell you. However, at other times, and particularly when you are exploring your data for the first time, it makes sense to take a different approach for several important reasons. This works well when you know what you want your graph to look like. In the last chapter, we presented an overview of the commonly used graphs in JMP with accompanying recipes. JMP Essentials: An Illustrated Guide for New Users, Second Edition (2014) Chapter 4.
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