chmiss: Chicago insurance redlining
In faraway: Functions and Datasets for Books by Julian Faraway
chmiss R Documentation
Chicago insurance redlining
Description
Data from a 1970's study on the relationship between insurance redlining in
Chicago and racial composition, fire and theft rates, age of housing and
income in 47 zip codes. Missing values have been randomly added.
Format
This dataframe contains the following columns
- race
racial composition in percent minority
- fire
fires per 100 housing units
- theft
-
theft per 1000 population
- age
percent of housing units
built before 1939
- involact
new FAIR plan policies and
renewals per 100 housing units
- income
median family income
in thousands of dollars
- side
North or South side of
Chicago
Source
Adapted from "Data : A Collection of Problems from Many Fields for
the Student and Research Worker" by D. Andrews and A. Herzberg published by
Springer-Verlag, in 1985
faraway documentation built on Aug. 23, 2022, 5:08 p.m.
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Chicago insurance redlining
Description
Data from a 1970's study on the relationship between insurance redlining in Chicago and racial composition, fire and theft rates, age of housing and income in 47 zip codes. Missing values have been randomly added.
Format
This dataframe contains the following columns
- race
racial composition in percent minority
- fire
fires per 100 housing units
- theft
-
theft per 1000 population
- age
percent of housing units built before 1939
- involact
new FAIR plan policies and renewals per 100 housing units
- income
median family income in thousands of dollars
- side
North or South side of Chicago
Source
Adapted from "Data : A Collection of Problems from Many Fields for the Student and Research Worker" by D. Andrews and A. Herzberg published by Springer-Verlag, in 1985
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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