R Dataset / Package wooldridge / loanapp

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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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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-wooldridge-loanapp.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-53620.csv 362.22 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 loanapp data set which pertains to loanapp. The loanapp data set is found in the wooldridge R package. You can load the loanapp data set in R by issuing the following command at the console data("loanapp"). This will load the data into a variable called loanapp. If R says the loanapp data set is not found, you can try installing the package by issuing this command install.packages("wooldridge") 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 loanapp R data set. The size of this file is about 370,913 bytes.

Documentation

loanapp

Description

Data loads lazily. Type data(loanapp) into the console.

Usage

data(loanapp)

Format

A data.frame with 1989 rows and 59 variables:

  • occ. occupancy

  • loanamt. loan amt in thousands

  • action. type of action taken

  • msa. msa number of property

  • suffolk. =1 if property in suffolk co.

  • appinc. applicant income, $1000s

  • typur. type of purchaser of loan

  • unit. number of units in property

  • married. =1 if applicant married

  • dep. number of dependents

  • emp. years employed in line of work

  • yjob. years at this job

  • self. =1 if self employed

  • atotinc. total monthly income

  • cototinc. coapp total monthly income

  • hexp. propose housing expense

  • price. purchase price

  • other. other financing, $1000s

  • liq. liquid assets

  • rep. no. of credit reports

  • gdlin. credit history meets guidelines

  • lines. no. of credit lines on reports

  • mortg. credit history on mortgage paym

  • cons. credit history on consumer stuf

  • pubrec. =1 if filed bankruptcy

  • hrat. housing exp, percent total inc

  • obrat. other oblgs, percent total inc

  • fixadj. fixed or adjustable rate?

  • term. term of loan in months

  • apr. appraised value

  • prop. type of property

  • inss. PMI sought

  • inson. PMI approved

  • gift. gift as down payment

  • cosign. is there a cosigner

  • unver. unverifiable info

  • review. number of times reviewed

  • netw. net worth

  • unem. unemployment rate by industry

  • min30. =1 if minority pop. > 30percent

  • bd. =1 if boarded-up val > MSA med

  • mi. =1 if tract inc > MSA median

  • old. =1 if applic age > MSA median

  • vr. =1 if tract vac rte > MSA med

  • sch. =1 if > 12 years schooling

  • black. =1 if applicant black

  • hispan. =1 if applicant Hispanic

  • male. =1 if applicant male

  • reject. =1 if action == 3

  • approve. =1 if action == 1 or 2

  • mortno. no mortgage history

  • mortperf. no late mort. payments

  • mortlat1. one or two late payments

  • mortlat2. > 2 late payments

  • chist. =0 if accnts deliq. >= 60 days

  • multi. =1 if two or more units

  • loanprc. amt/price

  • thick. =1 if rep > 2

  • white. =1 if applicant white

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

 str(loanapp)
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Dataset imported from https://www.r-project.org.

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