Data
strikes

strikes

active ARFF Publicly available Visibility: public Uploaded 29-09-2014 by Joaquin Vanschoren
0 likes downloaded by 2 people , 2 total downloads 0 issues 0 downvotes
  • OpenML-Reg19 study_130 study_239
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Author: Bruce Western (western@datacomm.iue.it) Source: [StatLib](http://lib.stat.cmu.edu/datasets/) - 1999 Please cite: The data consist of annual observations on the level of strike volume (days lost due to industrial disputes per 1000 wage salary earners), and their covariates in 18 OECD countries from 1951-1985. The average level and variance of strike volume varies across countries. The data distribution also features a long right tail and several large outliers. The 7 data fields include the following variables: > (1) country code; (2) year; (3) strike volume; (4) unemployment; (5) inflation; (6) parliamentary representation of social democratic and labor parties (7) a time-invariant measure of union centralization. These data were analyzed in the forthcoming paper by Bruce Western, "Vague Theory and Model Uncertainty in Macrosociology," which is to appear in Sociological Methodology. Permission is given by the author to freely use and redistribute these data.

7 features

strike_volume (target)numeric358 unique values
0 missing
country_codenumeric18 unique values
0 missing
yearnumeric35 unique values
0 missing
unemploymentnumeric116 unique values
0 missing
inflationnumeric171 unique values
0 missing
parliamentary_representationnumeric149 unique values
0 missing
union_centralizationnumeric8 unique values
0 missing

19 properties

625
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
7
Number of numeric attributes.
0
Number of nominal attributes.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
-236.56
Average class difference between consecutive instances.
0
Percentage of missing values.
0.01
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.

14 tasks

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: strike_volume
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: strike_volume
0 runs - estimation_procedure: 33% Holdout set - target_feature: strike_volume
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task