JMP (pronounced “jump”) is an interactive statistical visualization tool. JMP is designed to provide data analysis with unique statistical visualization. Each kind of analysis begins with graphs and plots, and each plot is accompanied with the appropriate statistical summary tables. So use this demo version to jump right in and see what it can do.
The demo also includes samples from JMP’s help system.
• Use the ? tool in the Tools menu for context-sensitive help.
• Choose the About JMP item on the Apple menu and click whenever you see (?).
• In particular, select the statistical guide (the Guide button from the About JMP item on the Apple menu). This activates a scrolling list of available statistical analyses. When you click an analysis, directions for doing the analysis appear.
• Select HELP from the star pop-up menu on the lower left border of each analysis window.
A sample of JMP balloon help is available if you are running Macintosh System Software 7.0.
JMP demo (for Macintosh or PowerMac) should be used with System 6.0.7 or better on a CPU with 8M RAM. JMP demo will want 4M of RAM for itself. JMP demo looks best on 8-bit color displays. Drag the "JMP Demo ƒ" folder from the Reseller CD onto your local hard disk. Then double click either the 68k or PowerMac version of JMP depending on which machine you have. Then follow any of the demo instructions outlined below:
The following example is designed to take you on a short guided tour through a JMP session. Follow the steps to see a three-dimensional spinning plot.
Begin a JMP session by opening the JMP file called COWBOY HAT. You will find this file in the "SAMPLE DATA demo" folder. This spreadsheet consists of three numeric columns. x and y are rectangular grid coordinates, and z is a function of x and y.
To plot the three columns of information from the COWBOY HAT data table, choose SPINNING PLOT from the GRAPH menu. A dialog prompts you to select columns for the Spin platform. Select the x, y, and z columns from the list of available columns on the left side of the dialog and click the Add button. When you click Done, the spin platform appears and the points in the COWBOY HAT data table are plotted on the spin platform.
Next, select the hand tool from the TOOLS menu. Position the hand on the cowboy hat spin plot, hold down the mouse button, and move the hand about. The cowboy hat moves in three dimensions. The plot can also spin by itself. Hold down the shift key and give the plot a push with the hand. To stop the spinning plot, click in any JMP window.
The spin control panel showing on the left of the plot contains twelve small icons. These icons control the spin plot. The six directional arrows are buttons that control the spin of the three dimensional image. If you click one of these arrows, the plot spins in the direction indicated. As long as you hold down the mouse button, the spin persists. However, you can shift-click a directional arrow to make the plot spin continuously. Click the triangle icon to see a pop-up menu of Display Options. These options let you tailor the spinning plot. Complete your experiment with the spinning cowboy hat by trying out a few of the display options. To exit JMP, select Quit from the File menu.
CARS DEMO
This is a good visual data exploration example -- it shows the relationship of country, gas mileage, horsepower, and number of cylinders for cars made in 5 different countries. Begin by locating the JMP demo program and double-clicking either the 68k or PowerMac version (depending on which machine you have). Then choose OPEN under the FILE menu and open the CARS data table located in the SAMPLE DATA folder. You should see a spreadsheet with 36 rows and 8 columns called CAR COUNTRY, MPG, WEIGHT, Drive Ratio, HORSEPOWER, Displacement, and CYLINDERS.
1 First, click the right-hand popup at the top of the CARS column and assign (select) the ‘Label’ role (to be used later).
2 Choose DISTRIBUTION OF Y (ANALYZE menu). Select the variable COUNTRY and click the Add button to add it to the list of variables to analyze. (or you can simply drag the variable to the list box). Then click Done to see a bar chart and a frequency table.
3 Now Do FIT Y BY X (under ANALYZE menu) with ‘MPG’ as Y and ‘WEIGHT ‘as X. This gives a scatterplot. Arrange the result windows so you can see them both.
4. Click the bar chart to make it the active window. Use the bar chart to assign markers to countries of origin - watch them distinguish between the countries in the scatterplot.
• Select the US bar (click on the US bar in the histogram to highlight it. Then assign this selection the ‘X’ marker by using the MARKERS palette in the ROWS menu.
• select Japan and assign the Y marker the same way
• select Germany and assign Z marker
• Give Sweden, Italy, and France the square marker. You can select each country one at a time and assign it a marker, or option-click to select the discontiguous bars and assign markers to them all at once.
5 Choose SELECT from the ROWS menu and ALL from its popup to select all the rows. This lets you see the markers clearly.
6 Click the scatterplot window to make it active. Choose FIT POLYNOMIAL from the Fitting popup menu beneath the scatterplot and select Quadratic - 2 (degree 2) just as a reference, and look for points above the curve (high ‘MPG’). Points toward the right of the scatterplot are the heavier cars.
Notice--that the US has quite a few cars with very good mileage and that are heavier than Japanese and German made cars with the same mileage. We might conclude here that good old US know-how came through with the most efficient car.
7 Next click on the X point (US car) with about 34 ‘MPG’ and about 2.6 for ‘WEIGHT’. This looks like one of the best cars. While it is highlighted, choose Label from the ROWS menu - you should see the label ‘Pontiac Phoenix’ appear.
8 Do Fit Y by X again, this time with ‘MPG’ as Y and ‘HORSEPOWER’ as X. Again choose Fit Polynomial from the Fitting popup beneath the plot and select a second degree polynomial and look for points above the line (high ‘MPG’) and to the right (high horsepower). Two more US-made cars seem to be pretty good (‘MPG’ between 25 an 30 and ‘HORSEPOWER’ of about 115) Select those points and toggle on their labels showing the ‘Chevy Citation’ and the ‘Olds Omega’.
9 Again do DISTRIBUTION OF Y (ANALYZE menu) and create a bar chart for the variable ‘CYLINDERS’. This time click on each bar and assign a different color to each number of cylinders. Use the Colors palette in the ROW menu to assign colors. Note the one curious auto with 5 cylinders! Label it to see that it is the ‘Audi 5000’.
10 Position the bars charts so you can see both of them. Click on a ‘CYLINDER’ bar and note how it highlights in the ‘COUNTRY’ bar chart. Most countries manufacture mostly 4 cylinder cars. The United States manufactures about the same number of 4, 6, and 8 cylinder cars. The US is the only country that manufactures 8 cylinder cars.
11 Show the relationships dramatically by choosing SPINNING PLOT from the GRAPH menu (in the menu bar). When the SPINNING PLOT Dialog appears, double-click on the following column names to add them to the list of variables to be graphed: MPG, WEIGHT, DRIVE RATIO, HORSEPOWER, DISPLACEMENT, CYLINDERS. When the SPINNING PLOT appears, you can make it larger by clicking on it, and then dragging the little resize box that appears in the lower right of the plot You can spread out the points with the button that has arrows pointing, out found in the control panel at the top left of the plot.
• Select the Hand tool from the TOOLS menu. Click in the 3D plot and hold down the mouse and move the hand about on the plot to see the 3D plot from different angles (Plot will rotate as you move the mouse).
• Hold down the Shift key and give the plot a push with the hand tool to see it spin by itself.
• Rotate the plot using the arrow buttons on the control panel. Hold down the shift key and click an arrow to see the plot spin by itself.
• Drag the X, Y, and Z axis symbols to different variables in the variables list at the left of the plot to see different 3D plots.
12 Finally, you might like to find the cars that give you the best mileage per point. To do this, create a new column and compute the ratio of MPG to WEIGHT.
• Choose NEW COLUMN from the COLS menu (or double-click in the triangular area labeled ‘cols’ found at the upper left of the data table).
• When the new column dialog appears, key in a name for the column. Call it RATIO.
• NEW COLUMN from the COLS menu (or double-click in the triangular area labeled ‘cols’ found at the upper left of the data table).
• Select FORMULA in the DATA SOURCE popup menu. Then click OK to see the column calculator appear.
• In the calculator window, click on MPG in the list of variables. It will appear in the formula display area.
• Click on the division sign found in the middle panel of the calculator. It will create a fraction in the formula display area. MPG appears as the numerator of the fraction and the denominator of the fraction is empty.
• Click on WEIGHT in the variable list. Then click EVALUATE and close the calculator window. The computed values appear in the new RATIO column.
13 Look at the distribution of the new variable RATIO to find the highest ratio (use DISTRIBUTION of Y (ANALYZE menu) and drag RATIO to the variable selection list. Click DONE. When the bar chart appears, click on the bar with the highest values. Note the points that become highlighted in the scatterplots and in the spinning plot. Select LABEL from the ROWS menu to label the highlighted points. You should see the ‘Fiat Strada’ and the ‘Dodge Colt’ labels appear. Congrats! You have found the two cars with the best mileage per point!
Continue by experimenting with other ANALYZE and GRAPH menu commands.
Note- For help select the question mark tool when any analysis window is active. Click anywhere on the surface of the window to see help contact-sensitive help. You can also access help from About JMP in the Apple menu. The Statistical Guide found on the About JMP screen gives a scrolling alphabetical list of topics available in JMP. Click on a topic to see how to obtain an analysis.
The demo version of JMP 3.0 is fully functional except for read and write capability. It only opens the data tables in the SAMPLE DATA folder and it does not save data tables. JMP Demo is free, and was developed for you to evaluate JMP and to learn how to use it. It may be freely distributed, given to friends, and placed on bulletin boards, but it may not be distributed as part of commercial software. Please do not distribute the application without its help file, sample data tables, or this documentation file. We want people to be able to understand what they are getting.
This document gives you ‘getting started’ directions. It begins with a quick example and follows with a description of the main features of JMP. Don’t be afraid to experiment with the analysis and graph platforms. Wherever you see an icon, click to see what it has to offer. Try modifier keys like shift, command, and option to see what effect they have. Use the “Table Info” command on the sample files for suggested analyses.
