complaints: Complaints received for the **Bureau of Consumer Financial...

In Rlda: Bayesian LDA for Mixed-Membership Clustering Analysis

Description

Specifically in this dataset we work with only credit card complaint's for the 2015 year.

Usage

data("complaints")

Format

A data frame with 17301 observations on the following 3 variables.

Product

a factor with levels Credit card

Issue

a factor with levels Advertising and marketing Application processing delay APR or interest rate Arbitration Balance transfer Balance transfer fee Bankruptcy Billing disputes Billing statement Cash advance Cash advance fee Closing/Cancelling account Convenience checks Credit card protection / Debt protection Credit determination Credit line increase/decrease Customer service / Customer relations Delinquent account Forbearance / Workout plans Identity theft / Fraud / Embezzlement Late fee Other Other fee Overlimit fee Payoff process Privacy Rewards Sale of account Transaction issue Unsolicited issuance of credit card

Company

a factor variable describing the companies available

Examples

data(complaints)

Example output

Loading required package: Rcpp
Loading required package: RcppProgress
Loading required package: doParallel
Loading required package: foreach
Loading required package: iterators
Loading required package: parallel
Loading required package: coda

Rlda documentation built on May 1, 2019, 7:26 p.m.