Analcatdata Lawsuit: Categorical Data for Statistical Analysis

Part of a collection of 84 categorical datasets compiled for the book 'Analyzing Categorical Data' by Jeffrey S. Simonoff. The specific 'lawsuit' dataset's row count, column count, and structure are unknown from the provided input.

Use Cases

• Analyze categorical relationships using the nominal class type and last column as the class index for classification modeling.
• Apply statistical methods from the referenced book, such as log-linear modeling, to the dataset's categorical variables.
• Use the data for educational purposes to demonstrate categorical data analysis techniques described in the source material.

Strengths

• Part of a curated collection of 84 datasets specifically designed for teaching and applying categorical data analysis.
• Clear provenance as a companion to a published academic textbook with associated sample code.

Limitations

• The specific schema, including the number of rows, columns, and their names for this dataset, is unknown.
• Data preprocessing details like quote removal and blank replacement may affect raw data interpretation.

Provenance

Source

Jeffrey S. Simonoff, from the book 'Analyzing Categorical Data', Springer-Verlag, 2003.

Collection Method

Curated collection for academic and educational use.