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Required information

Lab Note: The tools presented in this lab periodically change. Updated instructions, if applicable, can be found in the eBook and lab walkthrough videos in Connect.

Case summary: LendingClub is a peer$-$to$-$peer marketplace where borrowers and investors are matched together. The goal of LendingClub is to reduce the costs associated with these banking transactions and make borrowing less expensive and investment more engaging. LendingClub provides data on loans that have been approved and rejected since $2007,$ including the assigned interest rate and type of loan. This provides several opportunities for data analysis. There are several issues with this dataset that you have been asked to resolve before you can process the data. This will require you to perform some cleaning, reformatting, and other transformation techniques.

Data: Lab $2-3$ Lending Club Approve Stats.zip $-120$MB Zip $/120$MB Excel

OQ$1.$ How many records or rows appear in your cleaned dataset?

Records appear in cleaned dataset

OQ$2.$ How many attribute or columns appear in your cleaned dataset?

Attribute or columns appear in cleaned dataset