BDA Project - NYC Crime Data Analysis

Submission by

• Akshay Tambe (apt321@nyu.edu)
• Manjiri Acharekar (msa530@nyu.edu)
• Vaishali Pari (vp1096@nyu.edu)

Requirements

• Hadoop setup in Dumbo Cluster
• Spark setup in Dumbo Cluster

Installation Instructions

• Log into the main HPC node. To do this,
  • On MacOS, open the terminal and type ssh your_netid@hpc.nyu.edu
  • On Windows, open PuTTY.exe. In the “Host Name” field, type your_netid@hpc.nyu.edu, and then click “Open” at the bottom.
• Enter your password when prompted.
• From the HPC node, log into the Hadoop cluster. To do this, type ssh dumbo. Enter password again (if prompted).
• Upload the file using scp from local system to dumbo
• Download Crime Dataset from
• If you didn’t before, put the data file on HDFS: hadoop fs -copyFromLocal NYPD_Complaint_Data_Historic.csv

Configuration

• Set environment variables

  alias hfs='/usr/bin/hadoop fs '

  export HAS=/opt/cloudera/parcels/CDH-5.9.0-1.cdh5.9.0.p0.23/lib

  export HSJ=hadoop-mapreduce/hadoop-streaming.jar

  alias hjs='/usr/bin/hadoop jar $HAS/$HSJ'

Data Cleaning Scripts

• Run the Data Cleaner Python program using Spark: spark-submit cleandata_script.py NYPD_Complaint_Data_Historic.csv
• Output can be found in cleandata.csv, get in dumbo using: hadoop fs -getmerge cleandata.csv cleandata.csv

Data Analysis/Exploration Scripts

• Run the Data Analysis/Exploration Python programs using Spark: spark-submit 'name_of_the_file.py' NYPD_Complaint_Data_Historic.csv
• Output can be found in ‘output_file_name.out’, get in dumbo using: hadoop fs -getmerge 'output_file_name.out' 'output_file_name.out'

Data Plotting Scripts

• Run the Data Plotting Python programs: python 'name_of_the_file.py' 'output_file_name.png'
• Output can be found in 'output_file_name.png'