wchomes: A random sample of Wake County, North Carolina residential...
In jverzani/UsingR: Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
Description
Usage
Format
Source
References
Examples
Description
This data set comes from a JSE article
http://www.amstat.org/publications/jse/v16n3/woodard.pdf by
Roger Woodard. The data is described by: The information for this
data set was taken from a Wake County, North Carolina real estate
database. Wake County is home to the capital of North Carolina,
Raleigh, and to Cary. These cities are the fifteenth and eighth
fastest growing cities in the USA respectively, helping Wake County
become the ninth fastest growing county in the country. Wake County
boasts a 31.18
of approximately 823,345 residents. This data includes 100 randomly
selected residential properties in the Wake County registry denoted
by their real estate ID number. For each selected property, 11
variables are recorded. These variables include year built, square
feet, adjusted land value, address, et al.
Usage
1
Format
a data frame
Source
http://www.amstat.org/publications/jse/v16n3/woodard.xls
References
http://www.amstat.org/publications/jse/v16n3/woodard.pdf
Examples
1
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Description Usage Format Source References Examples
Description
This data set comes from a JSE article http://www.amstat.org/publications/jse/v16n3/woodard.pdf by Roger Woodard. The data is described by: The information for this data set was taken from a Wake County, North Carolina real estate database. Wake County is home to the capital of North Carolina, Raleigh, and to Cary. These cities are the fifteenth and eighth fastest growing cities in the USA respectively, helping Wake County become the ninth fastest growing county in the country. Wake County boasts a 31.18 of approximately 823,345 residents. This data includes 100 randomly selected residential properties in the Wake County registry denoted by their real estate ID number. For each selected property, 11 variables are recorded. These variables include year built, square feet, adjusted land value, address, et al.
Usage
1 |
Format
a data frame
Source
http://www.amstat.org/publications/jse/v16n3/woodard.xls
References
http://www.amstat.org/publications/jse/v16n3/woodard.pdf
Examples
1 |
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