Join Barton Poulson for an in-depth discussion in this video Solution: Creating your own scatter plot matrix, part of R Statistics Essential Training.
In this challenge, I've asked you to create a scatter plot matrix.…For this I want you to use a data set I created called search data.csv.…It's a data set that we've used before…about Google search trends form state to state.…I'm going to load it into an object called gsd for Google search data.…Let's take a look at the first five lines.…And, you see we've got State, NBA, NFL, FIFA.…Those are all popularity of those as search terms.…Then whether the state has an NFL or NBA or MLS major league soccer team.…
The percent of people with degrees, the age, and then the region.…Now what I want you to do for this one is to create a scatter plot matrix.…First using the built-in R function pairs.…However, before I run that one, I first want to use…this little bit of extra code that will make the matrix…a little more informative by putting histograms along the diagonal.…We used this one in the example.…And I'm just going to run it this way again to add the function.…So I highlight all that code, and press Cmd+Return, you see…
Author
Barton Poulson
Released
9/26/2013- Installing R on your computer
- Using the built-in datasets
- Importing data
- Creating bar and pie charts for categorical variables
- Creating histograms and box plots for quantitative variables
- Calculating frequencies and descriptives
- Transforming variables
- Coding missing data
- Analyzing by subgroups
- Creating charts for associations
- Calculating correlations
- Creating charts and statistics for three or more variables
- Creating crosstabs for categorical variables
Skill Level Intermediate
Duration
Views
Q: The R files within Chapters 01 to 10 don't appear to have any code in them. Where is the final code for each file?
A: Look in the "final" folder for each video. These folders contains the final R code written by the author.
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Introduction
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Welcome58s
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1. Getting Started
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Using RStudio4m 36s
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Installing and managing packages11m 16s
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Using built-in datasets in R5m 27s
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Entering data manually4m 37s
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Importing data8m 53s
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Working with color in R10m 18s
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2. Charts for One Variable
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Overlaying plots7m 25s
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Saving images5m 34s
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Solution: Layering plots2m 22s
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3. Statistics for One Variable
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Calculating frequencies3m 33s
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Calculating descriptives5m 43s
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4. Modifying Data
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Examining outliers6m 42s
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Transforming variables9m 26s
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Coding missing data6m 4s
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5. Working with the Data File
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Selecting cases5m 30s
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Analyzing by subgroup3m 14s
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Merging files5m 16s
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6. Charts for Associations
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Creating scatter plots5m 2s
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7. Statistics for Associations
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Calculating correlation3m 54s
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Comparing proportions3m 34s
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8. Charts for Three or More Variables
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Creating 3D scatter plots5m 13s
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9. Statistics for Three or More Variables
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Conducting a cluster analysis14m 14s
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Conclusion
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Next steps3m 40s
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Video: Solution: Creating your own scatter plot matrix