| book_banning {bayesrules} | R Documentation |
Book Banning Data
Description
The book banning data was collected by Fast and Hegland as part of a course project at St Olaf College, and distributed with "Broadening Your Statistical Horizons" by Legler and Roback. This data set includes the features and outcomes for 931 book challenges (ie. requests to ban a book) made in the US between 2000 and 2010. Information on the books being challenged and the characteristics of these books were collected from the American Library Society. State-level demographic information and political leanings were obtained from the US Census Bureau and Cook Political Report, respectively. Due to an outlying large number of challenges, book challenges made in the state of Texas were omitted.
Usage
book_banning
Format
A data frame with 931 rows and 17 variables. Each row represents a single book challenge within the given state and date.
- title
title of book being challenged
- book_id
identifier for the book
- author
author of the book
- date
date of the challenge
- year
year of the challenge
- removed
whether or not the challenge was successful (the book was removed)
- explicit
whether the book was challenged for sexually explicit material
- antifamily
whether the book was challenged for anti-family material
- occult
whether the book was challenged for occult material
- language
whether the book was challenged for inapropriate language
- lgbtq
whether the book was challenged for LGBTQ material
- violent
whether the book was challenged for violent material
- state
US state in which the challenge was made
- political_value_index
Political Value Index of the state (negative = leans Republican, 0 = neutral, positive = leans Democrat)
- median_income
median income in the state, relative to the average state median income
- hs_grad_rate
high school graduation rate, in percent, relative to the average state high school graduation rate
- college_grad_rate
college graduation rate, in percent, relative to the average state college graduation rate
Source
Shannon Fast and Thomas Hegland (2011). Book Challenges: A Statistical Examination. Project for Statistics 316-Advanced Statistical Modeling, St. Olaf College. Julie Legler and Paul Roback (2019). Broadening Your Statistical Horizons: Generalized Linear Models and Multilevel Models. https://bookdown.org/roback/bookdown-bysh/. https://github.com/proback/BeyondMLR/blob/master/data/bookbanningNoTex.csv/