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Visually explore your data in

innovative new wayswithSPSS Diamond, a multi-faceted

data visualization tool. With its uniqueplots, SPSS Diamond takesyou farbeyond the visualization capabil itiesofany other package.

SPSS Diamondsbrill iance liesin itsability to transformcomplex data and sta-tistics into vivid graphs.SPSS Diamond helpsyou: Spot complex relationshipsand pat-

ternsin multivariate data quickly Accelerate the data analysisprocessby

visually checkingyour data to see if itmeetsthe assumptionsrequired by yourstatistical analysis

Prepare your data for analysis by easilyidentifying unusual data points

SPSS Diamond isused for many analysisapplicationsin finance, healthcare

research, quality control and data mining.

Gain greater insight into your dataYou can use SPSS Diamondscolor brush-ing toolsto gain more insight into your

data. Brush on color to find and displaysignificant relationshipsin your data or tohighlight an outlier and evaluate howexcluding it impactsyour analysis. Color

different segmentsor subgroupsin yourdata and discover the differencesbetweenthem.

Go beyond the typical 2-D and 3-Dplottingoptionsin other software pack-

agesby usingthe unique plots and color-ing tools together to see more than three

dimensions simultaneously.Whatsmore, all the windowsin SPSS

Diamond are dynamically l inked, so

changesyou make in one graph, such asapplyingcolor or performinga transfor-mation, are automatically applied to allopen windows.

Accelerate your analysis

and discovery processEasily pursue multiple exploration pathssimultaneously and test the assumption ofa statistical analysis, so you can accelerateyour analysisand discovery process.

Quickly formulate a working hypothe-

sis for your data by using the reinvocationfeature. This feature letsyou concurrentlystart a new session of SPSS Diamond ona subset of data you choose, such asa col-

ored group of data or a group of data withcertain values, allowingyou to visuallycheck many of your hypothesesquickly.

You are in control of ho

exploration unfolds. Thatsdecide how and when to ap

animation or rotation, defithe data and apply transfofly. You can create up to 10versionsof the same graphflexibility in exploringa po

hypothesis, which you candefer or reject.

With a rich tool set for iexploringyour data, SPSS

you get a deeper understandata, accelerating your ana

Dynamically explore yourdata with new, innovative graSPSS Diamond a new way to explore your data

Data presentation windows Directory: A matrix of scatterplots with his-

tograms and cumulative histograms for eachvariable. Optional best-fit lines can be over-layed according to an adjustable goodness-of-fit threshold

Pairwise: Shows scatterplot with bivariatestatistics and histograms. Optional best-fitlines can be overlayed according to anadjustable goodness-of-fit threshold

Triplewise (3-D Scatterplot): Gives you a 3-Dperspective of relationships between three

variables; can be animated to spin and tilt inany direction Quadwise: Gives a view of any two

scatterplots with linked lines drawn betweencorresponding points. Shows relationshipsbetween two pairs of variables

Parametric snake: A scatterplot of twovariables is overlayed by lines that connectin order of a third variable; features animationcapabilities

Parallel coordinates: Each variable is plottedon a vertical axis with lines connecting pointscase by case. Axes can be sorted and manuallyrearranged

Fractal foam: Shows a pictorial view of bivari-ate and univariate statistics for a group ofrelated variables. A focus variable is plotted asa large bubble with correlated variablesmapped around its perimeter. The shape andorientation of each bubble depict the variables

standard deviation, kurtosis and skewness

Raw data: Shows the table of data which theprogram is currently using

Univariate statistics: Univariate statisticsinclude: Frequency; Range; Minimum andMaximum; Mean/Median/Mode; StandardDeviation; Skewness and Kurtosis

Bivariate statistics: Bivariate statisticsinclude: Clustering coefficients; Correlationsfor each variable pair; Slopes for the least-squares line for each variable pair

Other capabilities

File sizes: Windows accepts 100 variablesand 16,367 cases. OS/2 and UNIX accepts upto 33 variables and unlimited cases

Data management: Sorts cases, subsetscases, computes new variables, transformsvariables using over 250 arithmetic andscientific functions, directly enter data intospreadsheet-like data editor

File types: Supported are: SPSS portable,BMDP portable, SAS transport, Excel, Lotus,dBASE and ASCII

Color painting tools: Uses color to subset dataand performs operations on those subsets. Fourprincipal colors are: grey, red, green and blue.Overlapping primary colors producesecondary colors: yellow, cyan, magenta, white

Reinvocation: Extracts subsets of cases orvariables and feeds them to another simultane-ous SPSS Diamond session

Dynamically linked windows: Operations

performed in one window carry over to everyopen window

System requirementsSPSS Diamond for Windows 386, 486 or higher IBM compatible DOS 3.1 or higher and Windows 3.1 or higher in

enhanced mode or Windows 95 Math coprocessor Minimum 4MB RAM (8MB+highly recommended) Minimum 6MB free hard disk space 1.44MB 3.5 disk drive VGA display with 16 or morecolors or higher

resolution using Windows small font video drivers

SPSS Diamond for AIX All models of IBM RS/6000 AIX 3.2 or higher X Windows Minimum 1.6MB of hard disk space 3.5 disk drive High-resolution monitor highly recommended

SPSS Diamond for SunOS SunOS workstations 4.1.2 or higher X Windows Minimum 1.6MB of hard disk space 3.5 disk drive High-resolution monitor highly recommended

SPSS Diamond for OS/2 386 or higher IBM compatible PC OS/2 version 2.0 or later Math coprocessor strongly recommended Minimum 4MB RAM Minimum 1.6MB of hard disk space 3.5 disk drive High-resolution monitor highly recommended

To place an order or to get moreinformation, call your nearest SPSS officeor distributor, or visit our World Wide Web

site at http://www.spss.com.

SPSS Inc. WorldHeadquarters +1.312.329.2400Toll-free: +1.800.543.2185

Fax: 1.312.329.3668

In addition to these offices, SPSS has aworldwide network of distributors.

Contact the SPSS office nearest youfor assistance.

SPSSis aregistered tr ademark and SPSSDiamond is atr ademark ofSPSSInc. SPSSDiamond Copyright 1993by I BM Corporation.Developed by IBM T.J. Watson Research Center

Printed in the U.S.A. SDIMBRO-996M

SPSS Diamond summary of features

How you can order

Take advantage of these unique plots to dynamically explore your da

Read on to discover the power of SPSS Diamond.

Diamond takes data explorto new heig

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Get more information in one window thanbefore poss

Get aquick ovrelationshipsiwith theDireascatterplot mhistograms. Th

makeit easy tevaluatenonlihomogeneity thestrength o

Thecompani

let you assessvariableisdistcan check youassumptionsa

necessary tran

See hidden relationships easily with animated plots

TheParametric Snakeplot isathree-variable plot that letsyou

see relationshipsyou cant easilysee usingother methods. Twovariablesare plotted asthe x andy variablesin a scatterplot. Then,

their data points areconnected in increas-ingorder of the thirdvariable.

The parametric snakeplot is especially usefulfor lookingat therelationshipsbetweentwo variablesover

time. Itsalso a goodway to examinecorrelationsamongthree variables.

Visually discover which variables are important toyour analysis

Quickly view variablecorrelationswith theFractal Foamplot.Get even more insightinto your data by

usingthe shape andorientation of eachbubble to representthe univariate statis-tics for each variable.

Thisunique plot isnot available in anyother analysisorvisualization package.

Easily find and present complex setsof relationships

Simultaneously showrelationshipsamongfour variablesin yourdata with the Quad-wiseplot. Thisis

just one example ofhow SPSS Diamondmakesi t easy to seeinterrelationshipsamongvariables

that you mayotherwise miss.

A quad-wise plot consistsof two scatterplots side-by-side.The line connectingthe pointsrepresentsthe same case in

both plots. Thisplot letsyou easily see nonlinearity and three-way interaction effectsin your data.

Get to the heart of your analysis quickly

Quickly see complicat-ed relationshipsin

your data and getgreater insight byusingtheParallelCoordinates plot.

With thispowerfultool, you can assesscorrelationsand inter-actions in your data.Each variable isplot-

ted on a vertical axiswith linesconnectingthe pointscase-by-caseand color-by-color.

Get in-depth information on any two variables

Take advantage of the

Pairwisewindowto getmore in-depth informationthan youll find in mostscatterplots. The Pairwisewindow letsyou easily view

histogramsand cumulativehistograms, scatterplotsandbivariate statistics, givingyou everythingyou need at

your fingertips. Overlay bestfit l ineson colored subsetsof the data for even moreflexible exploratory dataanalysis.

Interactively explore potential relationshipsin your data by

rotating 3-D plots

Interact with your

data by rotatingaTriplewiseplot(3-Dscatterplot) in anydirection to investi-gate relationships

amongvariables.To get even moreinformation, you canuse color to depict a

fourth variable. Youcant get this kind ofdepth in a standard3-D scatterplot.

Notice how most of the groups of colored lines(each color represents a certain time period) runslightly downhill from left to right, except for theyellow lines. The yellow lines represent the timeperiod showing the correlation between low auto-mobile sales and high interest rates.

Figure A: This parametric snake plot reveals a

non-linear relationship between unemployment

and economy (economy is a composite index of

leading economic indicators). This suggests thatsome type of nonlinear model should be fit to thetwo variables.

Figure B: Now, when you successively link the

points in order of year, you can see a rel ation-

ship between unemployment and economy with

respect to time. This clearly shows different

time periods where certain shocks to the econ-omy occurred and the relationships between

economy and unemployment changed.

In this triplewise plot, you can see relationships

among automobile sales, rate of unemployment and

the prime interest rate. We colored subsets of thedata by year to give you even more information.

This plot reveals that high-magnitude earth-

quakes (highlighted in red) occurred at the samelongitude and latitude and on three particular

days.* This is just one exam ple of how the

Parallel Coordinates window can clearly reveal

complicated sets of relationships, enabling you

to get to the heart of your analysis quickly.

*Dataand analysis provided courtesy of M athew Schall,Ph.D., as it appeared in Perspective, a publication ofUCLAs Office of Academic Computing

In this Pairwise window, we havesegmented the data by year into five

colored subsets. You can ea sily see how

the prime rate and unemployment were

negatively correlated during the years

represented by the blue and red lines.

This suggests that other factors were

affecting these relationships and needfurther e xploration.

Our version of this popular exploratory

data analysis plot conveys much more

information than the typical scatterplot

matrix. It also gives you the flexibility to

overlay best-fit lines and a djust the

goodness-of-fit threshold.

In the fractal foam plot, the focus variable isplotted as the large bubble in the center, andcorrelated variables are mapped around it. Inthis example, weve chosen the closing price ofIBM stock as our focus variable. You can easilysee which other stocks are m ost closelycorrelated to IBM. This is extreme ly valuable forfinancial analysts who evaluate the mix ofstocks in a portfolio.

Diamondoffers awiderangeof graphs that patterns in your datathat might otherwisebetheusual numerical descriptions.

I dont think anyoneshouldrun aregressionfactor analysis, ANOVA, or do any statisticawithout first lookingat their datawith DiamDr. Matthew Schall, Psychology Department, T

A powerful visualization tool...I t is easy to ujust about everythingthat onecouldwant wwith thebasic (andsomeof thenot-so-basic

navigatingcomplex datasets.Adv

What the experts are sayingA

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Get exploratory data analysis plots and graphs not found anywhere e

Perform analyses more efficiently with SP

SPSS Diamondsdynamic exploratory graphscosophisticated data displaysmake it incredibly queffective for all typesof multivariate analysis. Yo

Determine if a data set meetsthe assumptionsparticular statistical analysis

Identify periodicitiesand sequencesin a data s Detect clustersand patterns in a data set Understand the semanticsof clusters Discover interaction effects