R Dataset / Package car / Anscombe

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-car-anscombe.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-76994.csv 1.13 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Anscombe data set which pertains to U. S. State Public-School Expenditures. The Anscombe data set is found in the car R package. You can load the Anscombe data set in R by issuing the following command at the console data("Anscombe"). This will load the data into a variable called Anscombe. If R says the Anscombe data set is not found, you can try installing the package by issuing this command install.packages("car") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Anscombe R data set. The size of this file is about 1,154 bytes.

Documentation

U. S. State Public-School Expenditures

Description

The Anscombe data frame has 51 rows and 4 columns. The observations are the U. S. states plus Washington, D. C. in 1970.

Usage

Anscombe

Format

This data frame contains the following columns:

education

Per-capita education expenditures, dollars.

income

Per-capita income, dollars.

young

Proportion under 18, per 1000.

urban

Proportion urban, per 1000.

Source

Anscombe, F. J. (1981) Computing in Statistical Science Through APL. Springer-Verlag.

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

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Dataset imported from https://www.r-project.org.

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