Data from a post-election survey following the year 2000 U.S. presidential elections.
A data frame with 10645 observations on the following 6 variables.
candidate voted for
gender, a factor with levels
age group, an ordered factor with levels
status of employment, a factor with levels
status of education, an ordered factor with levels
status of living situation, a factor with levels
The dataset is based on data from a post-election survey on persons who voted for either Bush or Gore in the 2000 U.S. election. The specific variables are related to the publication of Magidson and Vermunt (2005).
Further information (and datasets) about the 2000 U.S. election and other National Election Studies is available on the American National Election Studies Web site (http://www.electionstudies.org/).
Jay Magidson and Jeroen K. Vermunt (2005). An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables. In: C. Weihs & W. Gaul (Editors), Classification: The Ubiquitous Challenge, pages 176–183. Heidelberg: Springer http://www.statisticalinnovations.com/products/8pagearticle.pdf
1 2 3 4 5 6 7 8 9 10
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.