This repository is public and includes slides used and created by Christopher Kinson, PhD, for the data visualization seminar of the 2023 Datathon.
The following information originally appears in "Should This Loan be Approved or Denied?": A Large Dataset with Class Assignment Guidelines by Min Li, Amy Mickel and Stanley Taylor.
This is a dataset with 899164 observations and 27 variables that includes demographics and details about business loan applicants and their resulting status of their loan. Years covered in this data spans 1987 to 2014.
Variable Name | Description |
---|---|
LoanNr_ChkDgt | Primary Key ID |
Name | Borrower Name |
City | Borrower City |
State | Borrower State |
Zip | Borrower Zip Code |
Bank | Bank Name |
BankState | Bank State |
NAICS | North American Industry Classification System code |
ApprovalDate | Date SBA Commitment Issued |
ApprovalFY | Fiscal Year of Commitment |
Term | Loan term in months |
NoEmp | Number of Business Employees |
NewExist | 1 = Existing Business, 2 = New Business |
CreateJob | Number of jobs created |
RetainedJob | Number of jobs retained |
FranchiseCode | Franchise Code 00000 or 00001 = No Franchise |
UrbanRural | 1= Urban, 2= Rural, 0 = Undefined |
RevLineCr | Revolving Line of Credit : Y = Yes |
LowDoc | LowDoc Loan Program: Y = Yes, N = No |
ChgOffDate | The date when a loan is declared to be in default |
DisbursementDate | Disbursement Date |
DisbursementGross | Amount Disbursed |
BalanceGross | Gross amount outstanding |
MIS_Status | Loan Status |
ChgOffPrinGr | Charged-off Amount |
GrAppv | Gross Amount of Loan Approved by Bank |
SBA_Appv | SBA’s Guaranteed Amount of Approved Loan |
- "Should This Loan be Approved or Denied?": A Large Dataset with Class Assignment Guidelines by Min Li, Amy Mickel and Stanley Taylor
- United States Small Business Administration