View statlib-20050214 sleuth_case1201 (public)























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- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Integer,Floating Point,String
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- Original Data Format
- arff
- Name
- sleuth-case1201
- Version mldata
- 0
- Comment
Contains 110 data sets from the book 'The Statistical Sleuth' by Fred Ramsey and Dan Schafer; Duxbury Press, 1997. (schafer@stat.orst.edu) 14/Oct/97
Note: description taken from this web site: http://lib.stat.cmu.edu/datasets/
File: ../data/sleuth/case1201.asc
Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific
- Names
- state,sat,takers,income,years,public,expend,rank,
- Types
- nominal:Alabama,Alaska,Arizona,Arkansas,California,Colorado,Connecticut,Delaware,Florida,Georgia,Hawaii,Idaho,Illinois,Indiana,Iowa,Kansas,Kentucky,Louisiana,Maine,Maryland,Massachusetts,Michigan,Minnesota,Mississippi,Missouri,Montana,Nebraska,Nevada,NewHampshire,NewJersey,NewMexico,NewYork,NorthCarolina,NorthDakota,Ohio,Oklahoma,Oregon,Pennsylvania,RhodeIsland,SouthCarolina,SouthDakota,Tennessee,Texas,Utah,Vermont,Virginia,Washington,WestVirginia,Wisconsin,Wyoming
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- Data (first 10 data points)
state sat takers income years public expend rank Iowa 1088 3 326 16.79 87.8 25.6 89.7 Sout... 1075 2 264 16.07 86.2 19.95 90.6 Nort... 1068 3 317 16.57 88.3 20.62 89.8 Kansas 1045 5 338 16.3 83.9 27.14 86.3 Nebr... 1045 5 293 17.25 83.6 21.05 88.5 Mont... 1033 8 263 15.91 93.7 29.48 86.4 Minn... 1028 7 343 17.41 78.3 24.84 83.4 Utah 1022 4 333 16.57 75.2 17.42 85.9 Wyom... 1017 5 328 16.01 97.0 25.96 87.5 Wisc... 1011 10 304 16.85 77.3 27.69 84.2 ... ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)
- URLs
- (No information yet)
- Publications
- Data Source
- http://lib.stat.cmu.edu/datasets/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 10:00
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.
