germancredit: German Credit Data
In rogelioandrade/woeBinning: Supervised Weight of Evidence Binning of Numeric Variables and Factors
Description
Usage
Format
Source
Examples
Description
Credit data that classifies debtors described by
a set of attributes as good or bad credit risks.
See source link below for detailed information.
Usage
1
Format
A data frame with 21 variables
(numeric and factors) and 1000 observations.
Source
https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)
Examples
1
2
3
4
5
6
# Load German credit data and create subset
data(germancredit)
df <- germancredit[, c('creditability', 'credit.amount', 'duration.in.month',
'savings.account.and.bonds', 'purpose')]
# Display structure of the subset (data frame)
str(df)
rogelioandrade/woeBinning documentation built on May 5, 2019, 12:32 p.m.
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Description Usage Format Source Examples
Description
Credit data that classifies debtors described by a set of attributes as good or bad credit risks. See source link below for detailed information.
Usage
1 |
Format
A data frame with 21 variables (numeric and factors) and 1000 observations.
Source
https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)
Examples
1 2 3 4 5 6 | # Load German credit data and create subset
data(germancredit)
df <- germancredit[, c('creditability', 'credit.amount', 'duration.in.month',
'savings.account.and.bonds', 'purpose')]
# Display structure of the subset (data frame)
str(df)
|
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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