#' Loan data from Lending Club
#'
#' This dataset represents thousands of loans made through the Lending Club
#' platform, which is a platform that allows individuals to lend to other
#' individuals. Of course, not all loans are created equal. Someone who is a
#' essentially a sure bet to pay back a loan will have an easier time getting a
#' loan with a low interest rate than someone who appears to be riskier. And
#' for people who are very risky? They may not even get a loan offer, or they
#' may not have accepted the loan offer due to a high interest rate. It is
#' important to keep that last part in mind, since this dataset only
#' represents loans actually made, i.e. do not mistake this data for loan
#' applications!
#'
#'
#' @name loans_full_schema
#' @aliases loans_full_schema loan50
#' @docType data
#' @format A data frame with 10,000 observations on the following 55 variables.
#' \describe{
#' \item{emp_title}{Job title.}
#' \item{emp_length}{Number of years in the job, rounded down.
#' If longer than 10 years, then this is represented by the value
#' \code{10}.}
#' \item{state}{Two-letter state code.}
#' \item{homeownership}{The ownership status of the
#' applicant's residence.}
#' \item{annual_income}{Annual income.}
#' \item{verified_income}{Type of verification
#' of the applicant's income.}
#' \item{debt_to_income}{Debt-to-income ratio.}
#' \item{annual_income_joint}{If this is a joint application,
#' then the annual income of the two parties applying.}
#' \item{verification_income_joint}{Type of verification of
#' the joint income.}
#' \item{debt_to_income_joint}{Debt-to-income ratio for the
#' two parties.}
#' \item{delinq_2y}{Delinquencies on lines of credit in the
#' last 2 years.}
#' \item{months_since_last_delinq}{Months since the last
#' delinquency.}
#' \item{earliest_credit_line}{Year of the applicant's
#' earliest line of credit}
#' \item{inquiries_last_12m}{Inquiries into the applicant's
#' credit during the last 12 months.}
#' \item{total_credit_lines}{Total number of credit lines
#' in this applicant's credit history.}
#' \item{open_credit_lines}{Number of currently open lines
#' of credit.}
#' \item{total_credit_limit}{Total available credit, e.g.
#' if only credit cards, then the total of all the credit limits.
#' This excludes a mortgage.}
#' \item{total_credit_utilized}{Total credit balance,
#' excluding a mortgage.}
#' \item{num_collections_last_12m}{Number of collections
#' in the last 12 months. This excludes medical collections.}
#' \item{num_historical_failed_to_pay}{The number of
#' derogatory public records, which roughly means the
#' number of times the applicant failed to pay.}
#' \item{months_since_90d_late}{Months since the last time
#' the applicant was 90 days late on a payment.}
#' \item{current_accounts_delinq}{Number of accounts where
#' the applicant is currently delinquent.}
#' \item{total_collection_amount_ever}{The total amount
#' that the applicant has had against them in collections.}
#' \item{current_installment_accounts}{Number of installment
#' accounts, which are (roughly) accounts with a fixed payment
#' amount and period. A typical example might be a 36-month
#' car loan.}
#' \item{accounts_opened_24m}{Number of new lines of credit
#' opened in the last 24 months.}
#' \item{months_since_last_credit_inquiry}{Number of months
#' since the last credit inquiry on this applicant.}
#' \item{num_satisfactory_accounts}{Number of satisfactory
#' accounts.}
#' \item{num_accounts_120d_past_due}{Number of current
#' accounts that are 120 days past due.}
#' \item{num_accounts_30d_past_due}{Number of current
#' accounts that are 30 days past due.}
#' \item{num_active_debit_accounts}{Number of currently
#' active bank cards.}
#' \item{total_debit_limit}{Total of all bank card limits.}
#' \item{num_total_cc_accounts}{Total number of credit card
#' accounts in the applicant's history.}
#' \item{num_open_cc_accounts}{Total number of currently
#' open credit card accounts.}
#' \item{num_cc_carrying_balance}{Number of credit cards
#' that are carrying a balance.}
#' \item{num_mort_accounts}{Number of mortgage accounts.}
#' \item{account_never_delinq_percent}{Percent of all lines
#' of credit where the applicant was never delinquent.}
#' \item{tax_liens}{a numeric vector}
#' \item{public_record_bankrupt}{Number of bankruptcies
#' listed in the public record for this applicant.}
#' \item{loan_purpose}{The category for the purpose
#' of the loan.}
#' \item{application_type}{The type of application: either
#' \code{individual} or \code{joint}.}
#' \item{loan_amount}{The amount of the loan the
#' applicant received.}
#' \item{term}{The number of months of the loan
#' the applicant received.}
#' \item{interest_rate}{Interest rate of the loan
#' the applicant received.}
#' \item{installment}{Monthly payment for the loan the
#' applicant received.}
#' \item{grade}{Grade associated with the loan.}
#' \item{sub_grade}{Detailed grade associated with the loan.}
#' \item{issue_month}{Month the loan was issued.}
#' \item{loan_status}{Status of the loan.}
#' \item{initial_listing_status}{Initial listing status
#' of the loan. (I think this has to do with whether the
#' lender provided the entire loan or if the loan is across
#' multiple lenders.)}
#' \item{disbursement_method}{Dispersement method of the loan.}
#' \item{balance}{Current balance on the loan.}
#' \item{paid_total}{Total that has been paid on the loan by the
#' applicant.}
#' \item{paid_principal}{The difference between the original loan
#' amount and the current balance on the loan.}
#' \item{paid_interest}{The amount of interest paid so far by the
#' applicant.}
#' \item{paid_late_fees}{Late fees paid by the applicant.}
#' }
#' @source This data comes from Lending Club
#' (\url{https://www.lendingclub.com/info/statistics.action}), which
#' provides a very large, open set of data on the people who received loans
#' through their platform.
#' @keywords datasets
#' @examples
#'
#' loans_full_schema
"loans_full_schema"
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