lendclub: The set of all loans of Lending Club from 2007 do 2015.
In wojciechoblak/varbinq: Simplified processing categorized variables for binary models.

This is just a part from whole dataset created by Wendy Kan and published on kaggle website.

lendclub

A data frame with 887440 rows and 12 variables:

grade: LC assigned loan grade
sub_grade: LC assigned loan sub grade
home_ownership: The home ownership status provided by the borrower during registration.Possible values are: RENT, OWN, MORTGAGE, OTHER.
verification_status: Indicates if the co-borrowers' joint income was verified by LC, not verified, or if the income source was verified
pymnt_plan: Indicates if a payment plan has been put in place for the loan
purpose: A category provided by the borrower for the loan request
initial_list_status: The initial listing status of the loan. Possible values are <e2><80><93> W, F
application_type: Indicates whether the loan is an individual application or a joint application with two co-borrowers
term: The number of payments on the loan. Values are in months and can be either 36 or 60.
addr_state: The state provided by the borrower in the loan application
issue_d: The month which the loan was funded
loan_status: Current status of the loan: true means defaulted loan, false healthy loan

wojciechoblak/varbinq documentation built on May 4, 2019, 9:46 a.m.

wojciechoblak/varbinq index

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