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https://github.com/muhamedhekal/exploratory-explanatorydataanalysis


https://github.com/muhamedhekal/exploratory-explanatorydataanalysis

data data-analysis exploratory-data-analysis visualization

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# (Prosper Loan Data)
## by (Mohamed Hekal)

## Dataset

> This data about Prosper Marketplace, Inc. is a San Francisco, California-based company in the peer-to-peer lending industry. Prosper Funding LLC, one of its subsidiaries, operates Prosper.com, a website where individuals can either invest in personal loans or request to borrow money. The data contain 113937 raw and 81 columns.
you can download data [here](https://s3.amazonaws.com/udacity-hosted-downloads/ud651/prosperLoanData.csv)
with feature documentation available [here](https://docs.google.com/spreadsheets/d/1gDyi_L4UvIrLTEC6Wri5nbaMmkGmLQBk-Yx3z0XDEtI/edit#gid=0).

## Summary of Findings

> In the exploration, I found that there was a much big spike in different amounts in Loan Original amount like 4k, 5K,10k, and 15k, almost few ask for fractions and a lot ask for multiples of five. when plotting the term data I found that a high percentage of borrowers make a loan for 3 term years and when plotting the term with Loan original amount I found that if the borrowers need a high amount it is a high probability that he makes a loan in 5 years term.
borrowers that have a low range in monthly income high probability that he passed his repayment date lower-income higher delay for payment. loan with the 1-year term has a higher Monthly loan payment and that is because it has a high loan original amount

## Key Insights for Presentation

> For the presentation, I focus on just the influence of the monthly income and monthly payment and loan amount and the term that borrowers choose. I start by introducing the distribution of the Loan original amount and monthly loan payment, followed by the influence of 3 features that i introduce 2 lines above, with the term that borrowers choose on the Loan status and what makes borrowers delay the repayment