R Dataset / Package gamclass / german

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

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-gamclass-german.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-11313.csv 108.16 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the german data set which pertains to German credit scoring data. The german data set is found in the gamclass R package. You can load the german data set in R by issuing the following command at the console data("german"). This will load the data into a variable called german. If R says the german data set is not found, you can try installing the package by issuing this command install.packages("gamclass") 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 german R data set. The size of this file is about 110,755 bytes.


German credit scoring data

Description

See website for details of data attributes

Usage

german

Format

A data frame with 1000 observations on the following 21 variables.

V1

a factor with levels A11 A12 A13 A14

V2

a numeric vector

V3

a factor with levels A30 A31 A32 A33 A34

V4

a factor with levels A40 A41 A410 A42 A43 A44 A45 A46 A48 A49

V5

a numeric vector

V6

a factor with levels A61 A62 A63 A64 A65

V7

a factor with levels A71 A72 A73 A74 A75

V8

a numeric vector

V9

a factor with levels A91 A92 A93 A94

V10

a factor with levels A101 A102 A103

V11

a numeric vector

V12

a factor with levels A121 A122 A123 A124

V13

a numeric vector

V14

a factor with levels A141 A142 A143

V15

a factor with levels A151 A152 A153

V16

a numeric vector

V17

a factor with levels A171 A172 A173 A174

V18

a factor with levels good bad

V19

a factor with levels A191 A192

V20

a factor with levels A201 A202

V21

a numeric vector

Source

http://archive.ics.uci.edu/ml/datasets.html

Examples

data(german)
--

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

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      1. Arithmetic mean
      2. Median
      3. Quartiles
      4. Minimum and Maximum
      5. Stem-and-leaf plot
      6. Standard deviation and Variance
      7. IQR
      8. Cumulative frequencies
    • Plot - a plot of two columns on the cartesian coordinate system
    • Boxplot - a Boxplot (box-and-whisker plot) of a column.
    • Correlation Coefficient - Compute the correlation coefficient between two columns.
    • Cumulative Frequency Histogram - Display a cumulative frequency histogram
    • Dotplot
    • Hollow Histogram - Plot two columns on the same histogram with a different color for each column.
    • Pie Chart
    • Regression - Perform a simple linear regression and compute the p-value and regression line. Also plots the data with the regression line.
    • Stem and Leaf Plots - Plot a one or two-sided stem-and-leaf plot from one or two columns respectively.
    • Visual Summaries - plots the following:
      1. Frequency Histogram
      2. Relative Frequency Histogram
      3. Cumulative Frequency Histogram
      4. Boxplot (Box-and-whisker plot)
      5. Dotplot
  3. PDF - Check this box if you want to download a PDF of the output from the statistical analysis application.
  4. HTML - Check this box if you want a link to the HTML page created with the application.
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  2. Near the top of the page there will be two drop downs. One for analysis and one for education. Here we will choose Education. Choose from one of the following:
    • How To Create a Barplot - This will show you how to create a bar chart after selecting a column with the mouse.
    • How To Create a Stacked Barplot - This application will show you how to create a stacked bar plot from a column vector.
    • How To Create a Pie Chart - This application will show you how to create a pie chart from a column of data
    • How To Compute the Mean - This application will show you how to compute the mean from a column vector
    • How To Create a Plot - This app will show you how to plot two columns in the cartesian coordinate system.
    • How To Compute the Media - This statisistical app will show you how to compute the median from a column vector.
  3. PDF - Check this box if you want to download a PDF of the output from the education application.
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