R Dataset / Package Ecdat / Diamond

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-ecdat-diamond.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-81652.csv 7.81 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 Diamond data set which pertains to Pricing the C's of Diamond Stones . The Diamond data set is found in the Ecdat R package. You can load the Diamond data set in R by issuing the following command at the console data("Diamond"). This will load the data into a variable called Diamond. If R says the Diamond data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") 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 Diamond R data set. The size of this file is about 7,997 bytes.

Documentation

Pricing the C's of Diamond Stones

Description

a cross-section from 2000

number of observations : 308

observation : goods

country : Singapore

Usage

data(Diamond)

Format

A dataframe containing :

carat

weight of diamond stones in carat unit

colour

a factor with levels (D,E,F,G,H,I)

clarity

a factor with levels (IF,VVS1,VVS2,VS1,VS2)

certification

certification body, a factor with levels (GIA,IGI,HRD)

price

price in Singapore \$

Source

Chu, Singfat (2001) “Pricing the C's of Diamond Stones”, Journal of Statistics Education, 9(2).

References

Journal of Statistics Education's data archive : http://www.amstat.org/publications/jse/jse_data_archive.htm.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations

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

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