# Creating scatterplot matrices

## Video: Creating scatterplot matrices

In the last movie we looked at a way of showing three scaled variables and maybe even a fourth categorical variable on top using the 3D scatterplot. Well, that seems like an intuitive approach and while they certainly are a lot of fun to play with while rotating the display, they can get confusing and also once they stop rotating, they're just another static 2D display that's poorly labeled. Nevertheless, it's important to be able to see the relationships between groups or variables. Fortunately, a slightly lower tech, but more effective solution is available by taking advantage of what the data visualization people call small multiples.

## Creating scatterplot matrices

In the last movie we looked at a way of showing three scaled variables and maybe even a fourth categorical variable on top using the 3D scatterplot. Well, that seems like an intuitive approach and while they certainly are a lot of fun to play with while rotating the display, they can get confusing and also once they stop rotating, they're just another static 2D display that's poorly labeled. Nevertheless, it's important to be able to see the relationships between groups or variables. Fortunately, a slightly lower tech, but more effective solution is available by taking advantage of what the data visualization people call small multiples.

That is we can make an entire collection of 2D scatterplots that are connected to each other in the matrix, which makes it easier to see how the relationships between about as many variables as you have screen space for. Let's see how this works. I'm going to again use the Google Search data in Searches.sav. I need to go up to Graphs, then to Chart Builder. From there I come down on the gallery on the left to Scatter, and the third on the bottom is called Scatterplot Matrix.

I am going to click that and drag it up to the canvas. Now it looks a little funny here and on the bottom it just says Scatter Matrix. You'll see there's only one place to add variables. That's because I can add more than one variable to that list. In this particular case what I am going to do is I am going to choose let's say five variables. I am going to take SPSS. I am going to take Business Intelligence and I just drag it down. You see how it turns into a red plus there. I'll get Totally Lost.

I will also get Facebook. And finally, I think I'll give an indication of level of education. So what I've done is I've dragged five variables into this box at the bottom. Just in case I need it I'm going to come to Groups and Point ID and I am going to add a point ID label. I will use the state code and drag that hear to the Point Label variable and then I can click OK.

I get an extremely complicated looking chart, but this can be fixed. We need to edit it a little bit. I am going to double-click on it. The first thing I am going to do is I am going to remove this day labels. I may need those later, but for right now I can take them out. Then the next thing I am going to do is I am going to make the chart bigger. Right now the chart size is 375x468. I am just going to make it say for instance 500 and that gets it to 625.

When I do that and I maximize this window, I can actually read all of the labels. I can see things more clearly. Next I am going to make these dots smaller. I'll click on those. Let's go to 3 point and I will make them solid. And now it's a little easier to see them distinguished from each other. The next I will do is I am going to add a regression line and I'll go through all of them. Let me click on this and there we have it.

I can close this all now. Now I'm going to change the color of that regression line. I will make it a dark red instead of red so it doesn't jump out quite so much. What you have is each variable paired with the others by going across. So for instance on the top row where it says SPSS on the side, this is the relative importance of SPSS as a Google Search term. That's SPSS on the Y axis for all of the other ones. So, for instance, on the top row in the second column that's Business Intelligence across the bottom and SPSS up the side.

The one next to it is Totally Lost across the bottom of the X axis and SPSS on the Y axis. What you can see is when the regression lines are sloped that you can see their associations. So for instance there's a very strong association in the top row between SPSS and Totally Lost. That's the one in the middle on the top. On the other hand there's a little bit less of an association between SPSS and Facebook, the one right next to it. That line is relatively flat.

On the other hand we do have outliers showing on some of these and it might be interesting to see who that is. So I am going to double-click on the chart. I am going to turn on the Data Label mode by clicking in the menu bar here. I am going to find our little outlier here and just click on it and it will label it in all of the charts. And as is frequently the case it's Washington D.C. So we can see Washington D.C. is an outlier in most of these charts.

A scatterplot matrix in SPSS is a great way to see the connections between multiple variables all at once. It's easier to read than a 3D scatterplot and it lets you include more variables than you might otherwise be able to do. It's also a great tool to get a lot of visual detail from your data all at once, which is after all the purpose of data graphics. Now that we've covered several different combinations of variables and chart we will turn next to the descriptive and inferential statistics that can be used when looking at the associations of three or more variables.

Show transcript

#### This video is part of

SPSS Statistics Essential Training (2011)

52 video lessons · 20373 viewers

Author

Expand all | Collapse all
1. ### Introduction

2m 58s
1. Welcome
1m 5s
2. Using the exercise files
40s
3. Using a different version of the software
1m 13s
2. ### 1. Getting Started

19m 0s
1. Taking a first look at the interface
11m 49s
7m 11s
3. ### 2. Charts for One Variable

21m 54s
1. Creating bar charts for categorical variables
7m 18s
2. Creating pie charts for categorical variables
2m 54s
3. Creating histograms for quantitative variables
5m 45s
4. Creating box plots for quantitative variables
5m 57s
4. ### 3. Modifying Data

33m 10s
1. Recoding variables
5m 33s
2. Recoding with visual binning
5m 33s
3. Recoding by ranking cases
5m 26s
4. Computing new variables
5m 37s
5. Combining or excluding outliers
5m 21s
6. Transforming outliers
5m 40s
5. ### 4. Working with the Data File

28m 12s
1. Selecting cases
6m 44s
2. Using the Split File command
5m 12s
3. Merging files
5m 33s
4. Using the Multiple Response command
10m 43s
6. ### 5. Descriptive Statistics for One Variable

22m 14s
1. Calculating frequencies
8m 43s
2. Calculating descriptives
5m 31s
3. Using the Explore command
8m 0s
7. ### 6. Inferential Statistics for One Variable

16m 3s
1. Calculating inferential statistics for a single proportion
6m 6s
2. Calculating inferential statistics for a single mean
5m 39s
3. Calculating inferential statistics for a single categorical variable
4m 18s
8. ### 7. Charts for Two Variables

30m 43s
1. Creating clustered bar charts
7m 10s
2. Creating scatterplots
5m 8s
3. Creating time series
3m 24s
4. Creating simple bar charts of group means
4m 17s
5. Creating population pyramids
3m 0s
6. Creating simple boxplots for groups
3m 3s
7. Creating side-by-side boxplots
4m 41s
9. ### 8. Descriptive and Inferential Statistics for Two Variables

45m 28s
1. Calculating correlations
8m 17s
2. Computing a bivariate regression
6m 27s
3. Creating crosstabs for categorical variables
6m 34s
4. Comparing means with the Means procedure
6m 33s
5. Comparing means with the t-test
6m 4s
6. Comparing means with a one-way ANOVA
6m 30s
7. Comparing paired means
5m 3s
10. ### 9. Charts for Three or More Variables

24m 30s
1. Creating clustered bar charts for frequencies
6m 34s
2. Creating clustered bar charts for means
3m 45s
3. Creating scatterplots by group
4m 13s
4. Creating 3-D scatterplots
4m 25s
5. Creating scatterplot matrices
5m 33s
11. ### 10. Descriptive Statistics for Three or More Variables

30m 57s
1. Using Automatic Linear Models
11m 52s
2. Calculating multiple regression
9m 3s
3. Comparing means with a two-factor ANOVA
10m 2s
12. ### 11. Formatting and Exporting Tables and Charts

29m 29s
1. Formatting descriptive statistics
6m 1s
2. Formatting correlations
7m 49s
3. Formatting regression
10m 19s
4. Exporting charts and tables
5m 20s
13. ### Conclusion

51s
1. What's next
51s

### Start learning today

Sometimes @lynda teaches me how to use a program and sometimes Lynda.com changes my life forever. @JosefShutter
@lynda lynda.com is an absolute life saver when it comes to learning todays software. Definitely recommend it! #higherlearning @Michael_Caraway
@lynda The best thing online! Your database of courses is great! To the mark and very helpful. Thanks! @ru22more
Got to create something yesterday I never thought I could do. #thanks @lynda @Ngventurella
I really do love @lynda as a learning platform. Never stop learning and developing, it’s probably our greatest gift as a species! @soundslikedavid
@lynda just subscribed to lynda.com all I can say its brilliant join now trust me @ButchSamurai
@lynda is an awesome resource. The membership is priceless if you take advantage of it. @diabetic_techie
One of the best decision I made this year. Buy a 1yr subscription to @lynda @cybercaptive
guys lynda.com (@lynda) is the best. So far I’ve learned Java, principles of OO programming, and now learning about MS project @lucasmitchell
Signed back up to @lynda dot com. I’ve missed it!! Proper geeking out right now! #timetolearn #geek @JayGodbold
Share a link to this course

### What are exercise files?

Exercise files are the same files the author uses in the course. Save time by downloading the author's files instead of setting up your own files, and learn by following along with the instructor.

### Can I take this course without the exercise files?

Yes! If you decide you would like the exercise files later, you can upgrade to a premium account any time.

How to use exercise files.

Learn by watching, listening, and doing, Exercise files are the same files the author uses in the course, so you can download them and follow along Premium memberships include access to all exercise files in the library.

Exercise files

How to use exercise files.

This course includes free exercise files, so you can practice while you watch the course. To access all the exercise files in our library, become a Premium Member.

Are you sure you want to mark all the videos in this course as unwatched?

This will not affect your course history, your reports, or your certificates of completion for this course.

Congratulations

You have completed SPSS Statistics Essential Training (2011).

Become a member to add this course to a playlist

Join today and get unlimited access to the entire library of video courses—and create as many playlists as you like.

Become a member to like this course.

Join today and get unlimited access to the entire library of video courses.

Exercise files

Learn by watching, listening, and doing! Exercise files are the same files the author uses in the course, so you can download them and follow along. Exercise files are available with all Premium memberships. Learn more

How to use exercise files.

Thanks for contacting us.
You’ll hear from our Customer Service team within 24 hours.

Please enter the text shown below:

The classic layout automatically defaults to the latest Flash Player.

To choose a different player, hold the cursor over your name at the top right of any lynda.com page and choose Site preferences from the dropdown menu.

• Mark video as unwatched
• Mark all as unwatched
Exercise files

Access exercise files from a button right under the course name.

Mark videos as unwatched

Remove icons showing you already watched videos if you want to start over.

Make the video wide, narrow, full-screen, or pop the player out of the page into its own window.

Interactive transcripts

Click on text in the transcript to jump to that spot in the video. As the video plays, the relevant spot in the transcript will be highlighted.

## Are you sure you want to delete this note?

Thanks for signing up.

We’ll send you a confirmation email shortly.

• new course releases
• general communications
• special notices

Keep up with news, tips, and latest courses with emails from lynda.com.

• new course releases