In this video, you learn the basics of how to use JMP statistical discovery software from SAS. You learn about JMP menus, data tables, and the JMP interface. You also learn how to create basic data summaries and graphs. We use JMP on a Microsoft Windows machine, but JMP also runs natively on a Mac. When you first open JMP on a Windows machine, you see a home window. The home window makes it easy to see recently opened files and to navigate between open windows. You also see the Tip of the Day window, which provides shortcuts and tips for using JMP. To start, we open a data table. We use the file Students.jmp, which is found under the Help menu in the Sample Data Library. These are data on 233 students, aged 11 to 16. Data tables in JMP consist of columns and rows, and the panels on the side tell you about your data. In the columns panel, you see the number of columns, or variables, and the types of variables. The icons next to the variable names represent the modeling types. The blue triangles represent continuous data. Continuous data are numbers, where calculating an average or having a decimal place make sense. The red bars are for nominal data, or unordered categories. And the green bars represent ordinal data, or ordered categories. You can change the modeling type of a variable by clicking on the icon in the columns panel. The modeling type you select here affects the types of analyses and graphs that JMP produces. The rows panel tells you how many rows you have. It also tells you whether you've selected, excluded, hidden, or labeled any of the rows. In the table panel, you can store notes about the data. This data table also has some saved scripts. These scripts are written in JSL, or the JMP scripting language. Saving scripts to the data table makes it easy to save your work and repeat your analyses. You can also write your own JSL code to extend the functionality of JMP. Let's run one of these scripts. When you click the green icon, JMP produces a distribution analysis for age and sex. These are both categorical variables: age is coded as ordinal, and sex is nominal. JMP automatically produces bar charts and frequency distributions for each variable. The script was also saved with mosaic plots, which is an option from the analysis red triangle menu. Let's re-create this analysis using the JMP menus. Many analyses are available from the Analyze menu. The type of analysis you choose depends on your analysis goal, and your data. We'll launch the Distribution platform, which is used to analyze one variable at a time. We'll select age and sex as Y, Columns. To do this, we select the variables in the columns list and click Y, Columns. You can also drag the variables to the Y, Columns role. We'll include the two continuous variables - height and weight - as Y, Columns. When we click OK, JMP produces analyses for all four variables. You see the bar charts and frequency distributions for the two categorical variables. For height and weight, JMP has produced histograms, box plots, quantiles (or percentiles), and some summary statistics. Additional options for these variables are available from the red triangle menus. Notice that the analyses are vertical by default because this makes better use of the space on your screen. Let's convert this to a horizontal display. To do this, we select Stack from the top red triangle. Let's take a closer look at this output. If you click on a bar in one graph, the corresponding values in all of the other graphs are selected. These rows are also selected in the data table. In JMP, all graphs and analyses are linked to the data table, and to every other analysis. Every analysis is also customizable. You can right-click on a graph to access additional options, double-click an axis to change axis settings, or change axis scaling by dragging the ends of an axis, or click to change graph titles. You can also use the toolbar to interact with your analysis. For example, you can use the grabber tool to dynamically change the bins in the histogram, use the question mark tool to launch the interactive Help, or use the selection tool to select a graph or analysis, copy the output, and paste into another program, like Word or PowerPoint. Let's take a quick look at the other menus in JMP. The File menu includes options for opening data in JMP, saving your data, and saving your results. You can also customize the look and feel of JMP using Preferences. For example, if you want your distribution output to be horizontal in all future analyses, you can set this as a preference by selecting the Platforms group, then Distribution, and then Stack. The Edit menu includes options for copying and pasting. The Tables menu provides a number of tools for restructuring a data table. There are many options for working with rows and columns, and for designing experiments in JMP. In addition to the Analyze menu, you can use the option under the Graph menu to create interactive graphs. For example, Graph Builder provides a dynamic interface for producing a wide range of graphs. Finally, let's look at the Help menu. This provides access to the JMP Help files, and much more. The Students data is one of the many data tables, scripts, and other files that are shipped with JMP. These files, and many resources for learning and teaching statistics, are organized in the Sample Data Index. Ready to give it a try? Just open a data table in JMP, and you're on your way. For more information about getting started with JMP, visit us at jmp.com/gettingstarted.
