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Original Data Format
arff
Name
chscase-census1
Version mldata
0
Comment
                 File README
                 -----------

chscase A collection of the data sets used in the book "A Casebook for a First Course in Statistics and Data Analysis," by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff, John Wiley and Sons, New York, 1995. Submitted by Samprit Chatterjee (schatterjee@stern.nyu.edu), Mark Handcock (mhandcock@stern.nyu.edu) and Jeff Simonoff (jsimonoff@stern.nyu.edu)

This submission consists of 38 files, plus this README file. Each file represents a data set analyzed in the book. The names of the files correspond to the names used in the book. The data files are written in plain ASCII (character) text. Missing values are represented by "M" in all data files.

More information about the data sets and the book can be obtained via gopher at the address swis.stern.nyu.edu

The information is filed under ---> Academic Departments & Research Centers ---> Statistics and Operations Research ---> Publications ---> A Casebook for a First Course in Statistics and Data Analysis ---> Welcome!

It can also be accessed from the World Wide Web (WWW) using a WWW browser (e.g., netscape) starting from the URL address http://www.stern.nyu.edu/SOR/Casebook

NOTICE: These datasets may be used freely for scientific, educational and/or non-commercial purposes, provided suitable acknowledgment is given (by citing the Chatterjee, Handcock and Simonoff reference above).

File: census1.dat

Note: attribute names were generated automatically since there was no information in the data itself.

Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific

Names
col_1,
Types
  1. numeric
Data (first 10 data points)
    col_1
    11.652
    23.015
    5.604
    6.71
    7.293
    8.918
    14.176
    11.363
    12.72
    19.226
    ...
Description

A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)

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Publications
    Data Source
    http://lib.stat.cmu.edu/datasets/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2011-09-14 16:04

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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