R/lendclub.R

In wojciechoblak/varbinq: Simplified processing categorized variables for binary models.

#' The set of all loans of Lending Club from 2007 do 2015.
#'
#' This is just a part from whole dataset created by Wendy Kan and published on kaggle website.
#'
#' @format A data frame with 887440 rows and 12 variables:
#' \describe{
#'   \item{grade}{LC assigned loan grade}
#'   \item{sub_grade}{LC assigned loan sub grade}
#'   \item{home_ownership}{The home ownership status provided by the borrower during registration.Possible values are: RENT, OWN, MORTGAGE, OTHER.}
#'   \item{verification_status}{Indicates if the co-borrowers' joint income was verified by LC, not verified, or if the income source was verified}
#'   \item{pymnt_plan}{Indicates if a payment plan has been put in place for the loan}
#'   \item{purpose}{A category provided by the borrower for the loan request}
#'   \item{initial_list_status}{The initial listing status of the loan. Possible values are – W, F}
#'   \item{application_type}{Indicates whether the loan is an individual application or a joint application with two co-borrowers}
#'   \item{term}{The number of payments on the loan. Values are in months and can be either 36 or 60.}
#'   \item{addr_state}{The state provided by the borrower in the loan application}
#'   \item{issue_d}{The month which the loan was funded}
#'   \item{loan_status}{Current status of the loan: true means defaulted loan, false healthy loan}
#'
#' }
#' @source \url{https://www.kaggle.com/wendykan/lending-club-loan-data}
"lendclub"