Problem Statement of Crime

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Analyze and categorize data into different kinds of crimes

SF Police Department wants to categorize crimes that were registered in different police departments.  The data given by SF Police department has the following columns:

Data Fields

Dates - timestamp of the crime incident

Category - category of the crime incident (only in train.csv). This is the target variable you are going to predict.

Descript - detailed description of the crime incident (only in train.csv)

DayOfWeek - the day of the week

PdDistrict - name of the Police Department District

Resolution - how the crime incident was resolved (only in train.csv)

Address - the approximate street address of the crime incident

X - Longitude

Y – Latitude

 

 

 

 

 

 

First Load Data INTO Pig And Further Process for Next Step

Work-Out In

Hive

Pig

Send End-Data INTO Hbase

Spark-Core & Spark-SQL

Scala

 

 

Try to Write Multi[ple Use – Cases Based on DataSets …. And Scenario’s

 

Your company is contacted by SF Police Department to help them categorize various crimes registered. You have been given the following tasks.

 

1. Create a Module to initialize spark context and sqlcontext for spark.

2. Create a Module to load test dataset and training dataset and create two data frames as train and test.

3. Encode categorical data in training and test data into a format which can be accepted by mllib algorithms(Create label points). ((()))Negociate

4. Train a model on training data.

5. Categorize the crimes mentioned in test data and store results in a text file.

Data Ref:https://www.kaggle.com/c/sf-crime

The total time required to complete this task is 8 hours.

Note: The dataset required for this project can be accessed either from the above link or downloaded from the“Download Center”.

 


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