View uci-20070111 stock (public)
























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Integer,Floating Point
- Download
-
# Instances: 950 / # Attributes: 10
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- Original Data Format
- arff
- Name
- stock
- Version mldata
- 0
- Comment
This is a dataset obtained from the StatLib repository. Here is the included description:
The data provided are daily stock prices from January 1988 through October 1991, for ten aerospace companies.
Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Original source: StatLib repository. Characteristics: 950 cases, 10 continuous attributes
- Names
- company1,company2,company3,company4,company5,company6,company7,company8,company9,company10,
- Types
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- Data (first 10 data points)
comp... comp... comp... comp... comp... comp... comp... comp... comp... comp... 17.0 50.0 18.75 43.0 60.875 26.375 67.75 19.0 48.75 34.875 17.0 51.0 19.625 44.0 62.0 26.125 68.125 19.125 48.75 35.625 18.0 50.0 19.875 43.875 61.875 27.25 68.5 18.25 49.0 36.375 18.0 51.0 20.0 44.0 62.625 27.875 69.375 18.375 49.625 36.25 17.0 49.0 20.0 41.375 59.75 25.875 63.25 16.5 47.5 35.5 18.0 49.0 19.5 41.875 59.625 26.625 66.25 17.125 47.75 34.375 18.0 49.0 19.125 42.5 60.75 27.25 65.75 16.875 47.875 34.0 18.0 50.0 19.25 43.0 61.75 28.0 66.0 16.875 47.25 34.625 18.0 49.0 19.0 43.25 61.75 29.0 65.75 17.125 47.0 34.875 19.0 50.0 19.125 43.875 61.875 29.625 66.875 17.75 47.375 36.0 ... ... ... ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)
- URLs
- (No information yet)
- Publications
- Data Source
- http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 09:59
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.