This repository contains the files necessary to get started with the Credit Card Fraud Detection data set from Kaggle for analysis in STAT 432 at the University of Illinois at Urbana-Champaign.

• README.md: The file that you are reading that describes the analysis and data provided.
• make-data.R: The R script used to scrape and wrangle the data.
• analysis.Rmd: A template R Markdown file to be used for reporting the results of your analysis.
• data-raw/creditcard.csv.zip: The original data downloaded from Kaggle and zipped.
• credit-analysis.Rproj: An RStudio project file.

Additional files are created by running the make-data.R script.

• data/cc-sub.csv: The subset of the data as created by the make-data.R script.
• data/cc.csv.gz: The "full" data as created by the make-data.R script.

The data stored in data-raw folder was accessed from Kaggle. Please be aware of the documentation provided there.

• Documentation: Kaggle Credit Card Fraud Detection

The goal of this analysis is to use the provided data in order to create tool that can be used to detect credit card fraud.

The Class variable indicates whether or not a transaction is genuine or fraud. In the original data, these were encoded as 0 and 1 respectively. In the processed data contained in the data folder, these have been changed to genuine and fraud to avoid any confusion.

Because the "full" data is somewhat larger, for the purpose of completing a data analysis for STAT 432, you may simply work with a subset of the data, but consider taking on the challenge of trying to use the full data with whatever limited computational resources you have available.