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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics FREE CHAPTER 2. Stata Programming and Data Management 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

Box plots


Another way to look at data is box plots; they are also called box and whiskers plots.

In box plots, a box ranges from a quartile in the lower range, which is also 25th percentile of data, to a quartile in the upper range, which is the 75th percentile. It also contains a line in the median value, which is the 50th percentile.

Then, you have whiskers plots. Whiskers generally range from the quartile with a low value and a low adjacent value to the quartile in the upper range and upper adjacent value.

Lower Adjacent Value = lower quartile – 3/ 2 IQR

Upper Adjacent Value = upper quartile + 3/2 IQR

Observations after the lower and upper adjacent value are plotted in terms of points; for example, take a look at the following:

graph box scores

The output of this command is shown in the following figure:

You can divide these graphs by categorical variables; for example, take a look at the following:

 –graph box scores, over(sex)
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