R Dataset / Package datasets / precip

How To Create a Barplot

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Visual
Instructional

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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Numerical
Instructional

How To Create a Plot

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Visual
Instructional

How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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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

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

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Plot

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Regression

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Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-datasets-precip.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-95057.csv 328 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the precip data set which pertains to Annual Precipitation in US Cities. The precip data set is found in the datasets R package. You can load the precip data set in R by issuing the following command at the console data("precip"). This will load the data into a variable called precip. If R says the precip data set is not found, you can try installing the package by issuing this command install.packages("datasets") 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 precip R data set. The size of this file is about 328 bytes.


Annual Precipitation in US Cities

Description

The average amount of precipitation (rainfall) in inches for each of 70 United States (and Puerto Rico) cities.

Usage

precip

Format

A named vector of length 70.

Note

The dataset version up to Nov.16, 2016 had a typo in "Cincinnati"'s name. The examples show how to recreate that version.

Source

Statistical Abstracts of the United States, 1975.

References

McNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley.

Examples

require(graphics)
dotchart(precip[order(precip)], main = "precip data")
title(sub = "Average annual precipitation (in.)")## Old ("wrong") version of dataset (just name change):
precip.O <- local({
   p <- precip; names(p)[names(p) == "Cincinnati"] <- "Cincinati" ; p })
stopifnot(all(precip == precip.O),
	  match("Cincinnati", names(precip)) == 46,
	  identical(names(precip)[-46], names(precip.O)[-46]))

--

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