Project: Exploratory data analysis of financial loan data
Author : Tania Moulik
Contact: tania.moulik@gmail.com
In this project I used R to explore Prosper Financial loan data.
This project is done as part of the Udacity Course and it involves data visualization and analysis of a dataset, of one's own choice. I chose the Prosper financial loan data.
Some of the variables explored in this project are :
- Loan APR
- Credit Score
- Credit Grade
- Loan Status
- Delinquency,
- Trades Delinquent
- Home owner status
- Employment status.
Some of the variables characterize the loan while others affect the credit score, which in turn influences the APR of the loan. Some of these relationships are studied.
Further references for this project:
http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/ https://www.prosper.com/help/topics/how-to-read-a-loan-listing https://www.r-bloggers.com/whisker-of-boxplot/ tidyverse/ggplot2#2051 https://stackoverflow.com/questions/39878813/r-ggplot-geom-bar-meaning-of-aesgroup-1 http://little-book-of-r-for-multivariate-analysis.readthedocs.io/en/latest/src/multivariateanalysis.html https://sachsmc.github.io/knit-git-markr-guide/knitr/knit.html https://rmarkdown.rstudio.com/r_notebooks.html https://yihui.name/knitr/options/ http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf https://www.r-bloggers.com/palettes-in-r/ https://blog.equifax.com/credit/how-can-public-records-affect-my-credit-score/