Drag a continuous column with count data to the Y drop zone and drag a nominal variable with the group identifier to the X drop zone. Using the Graph Builder method, select Graph ▶ Graph Builder. One ordinal or nominal column for labels and a continuous column to define the size of the pie chart sections. As shown, pie charts can display percentages of seven different failure types (see Figure 3.5). Some examples are market share, customer preferences, and percent of any kind of category or group. Used when representing proportions, percentages, or fractions of any measured quantity. To access the data table used for the above pie chart example, follow Help ▶ Sample Data ▶ Control Charts ▶ Failure. You can also click Undo if you don’t like the result.Ī circular chart divided into areas proportional to the percentages of the whole or total. If you are unfamiliar with the graphs depicted in the element type icon palette, experiment by clicking on them when they are enabled. You can use the SHIFT key to apply multiple elements at once. Graphing options respond to the modeling types of the columns and the drop zones selected. Unavailable graphing options for the column combinations selected are automatically disabled and appear to be grayed out. If column modeling types like continuous and nominal and ordinal are unfamiliar to you, see Section 2.3.īy default, a point chart is generated for any column type when dragged to the X or Y drop zones.Ĭharting choices are revealed in the element icon palette at the top of the Graph Builder window (see Figure 3.4).Īs columns are dragged to drop zones, graphing options become enabled and their icons are highlighted in the palette. When columns are dragged to the drop zones, graphs instantly appear, and additional options become enabled (see Figure 3.3). Graphs appear in the center area framed by X and Y drop zones. You can also learn more about using the Graph Builder platform to assist you in problem-solving in Chapters 5 and 6. It produces appropriate graphs for each continuous nominal or ordinal column that you drag and release into a drop zone (see Figure 3.2). The Graph Builder platform is accessed from the Graph menu (see Figure 3.1). This section is designed to help you understand some of the more commonly used charts that can be produced with this multi-purpose platform and how to produce them. In the context of those modeling types, it visually alerts you to charting options that come with your selections. The platform responds differently depending on the modeling types of the data and the roles of the columns you select. The Graph Builder platform produces dozens of charts for general purposes. See Chapter 2, sections 5 and 6, for more details on customizing the appearance of your graphs. You can customize the appearance of any graph (including colors, markers, axes, legends, and fonts) by interacting with simple palettes and controls or by simply right-clicking on the area or item you want to change. You can decide which method works best for you. A selection of graphing methods will be presented including newer methods available in the more intuitive Graph Builder and Control Chart Builder platforms, as well as instructions for the legacy Chart and legacy Control Chart platforms. There is more than one way to generate many of the graphs in this chapter. For instructions on sharing or printing graphs and on surfacing graphs into other applications such as Microsoft Word or PowerPoint or interactive HTML, see Chapter 7, sections 3 and 4. Statistical output is provided with graphs generated from the Analyze menu. Some of the graphs illustrated in this chapter are accessed from the Graphs menu, while others are accessed from the Analyze menu. However, we have focused on the steps to generate the base case of each graph, which are illustrated in the figures that accompany each graph. You will find that many graph windows have additional options that allow you to further enhance your graphical result. This chapter is for the user who knows what graph they want and can pick it out by how it looks or what it’s called. This chapter is not intended to be a complete index of graphs available in JMP, but we have tried to pick out those that we see used most often. A picture of the graph, brief description, required data conditions, usage description, and the steps required to generate the graph immediately follow. In this chapter, you can peruse the graphs much like you’d look through a cookbook-find what you want and follow the recipe. The format of this chapter differs from other chapters for good reason. This chapter is a quick reference to commonly used graphs in JMP. JMP Essentials: An Illustrated Guide for New Users, Second Edition (2014) Chapter 3.
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