Directories and files: Code and commands for data ingestion in a /data_ingest directory ETL/cleaning code in a /etl_code directory Profiling code in a /profiling_code directory Screen shots that show my analytic running in a /screenshots directory - for every step Build my code: After cleaning I get 19 attributes about the url. In the mapreduce jobs, I calculated the average values of each 19 attributes when the url is a phishing website and when url is not a phishing website. This new data can be further compared to see which attributes may affect the result of if the url is a phishing website. Run: My code is simply two mapreduce jobs. It can be run with the code: hadoop jar Project.jar Project ProjectInput/Input.csv ProjectOutput hadoop jar Project_1.jar Project_1 ProjectInput/Input.csv ProjectOutput_1 Result: Result for analytics can be found in ProjectOutput and ProjectOutput_1 Input: Input data for analytics and profiling can be found in user/sl7228/ProjectInput/Input.csv Input data for profiling before cleaning can be found in user/sl7228/hw7/input/index.csv