Join Barton Poulson for an in-depth discussion in this video Creating box plots for quantitative variables, part of Up and Running with R.
In the last movie, we looked at how you can use histograms as a way of checking…the nature of a quantitative variable to see whether it got entered correctly,…to see whether it meets the assumptions of the statistical tests that you're…going to perform, and to look for interesting or potentially informative…observations within that variable.…Another graph that I always create when I'm looking at quantitative variables is a box plot.…A box plot is a shorthand way of looking at the distribution.…It highlights outliers, and it gives you an idea for what might be unusual or…exceptional in a distribution.…
In this particular data set, I'm going to use the same variables that I used in the last one.…I'm going to open up the social network data again, and then I'm going to…come down to boxplot.…Again, the nice thing is this is a built-in function, and it doesn't require any…preprocessing the way that we had to do with the bar charts.…All I do is I say I want a boxplot, and then I'm using the data frame, or the data…
The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.
- What is R?
- Installing R
- Creating bar character for categorical variables
- Building histograms
- Calculating frequencies and descriptives
- Computing new variables
- Creating scatterplots
- Comparing means
Skill Level Beginner
Managing and Analyzing Data in Excel 2010with Dennis Taylor1h 32m Appropriate for all
1. What is R?
R in context3m 35s
2. Getting Started
3. Charts and Statistics for One Variable
4. Modifying Data
5. Charts for Associations
6. Statistics for Associations
Next steps4m 11s
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