Project Description
Public safety and crime analysis plays an important role in maintaining social order and developing security strategies. In this project, we will evaluate crime rates, judicial decisions, and the performance of police departments by analyzing various crime records, verdicts and sentences, district information, and police department data. Our goal is to increase public safety, reduce crime rates and improve the effectiveness of police departments. This analysis will assist public safety managers and decision makers in developing security policies and making strategic decisions.
Project Usage Areas
This project has several uses for public safety managers, police departments, and data analysts:
Analysis of Crime Rates: Developing strategies to reduce crime rates by analyzing crime types, regions and times.
Evaluation of Judicial Decisions: Evaluating the effectiveness of the justice system by analyzing court decisions and sentences.
Regional Security Analysis: Improving regional security policies by analyzing crime rates and security levels in different regions.
Police Department Performance: Improving the operational effectiveness of police departments by analyzing their performance and evaluations.
Security Strategies: Developing effective public safety strategies and optimizing crime prevention policies using data analytics.
Dataset Description
The dataset to be used in this project includes public safety and crime data. The dataset consists of four main files in total:
Crime Records (crime_records)
CrimeID: Crime ID
RegionID: Region ID
PoliceDeptID: Police department ID
CrimeDate: Crime history
CrimeType: Crime type (Burglary, Assault, Theft, Vandalism, Drug Offense)
Severity: Seriousness (between 1-5)
Description: Crime description
Decisions and Penalties (judgements)
JudgmentID: Decision ID
CrimeID: Crime ID
JudgmentDate: Decision date
JudgementType: Decision type (Guilty, Not Guilty, Pending)
Sentence: Penalty (Community Service, Fine, Imprisonment, Probation)
SentenceDuration: Sentence duration
Regions
RegionID: Region ID
RegionName: Region name
Population: Population
Area: Area (km²)
CrimeRate: Crime rate
Police Departments (police_departments)
PoliceDeptID: Police department ID
DeptName: Department name
RegionID: Region ID
NumOfficers: Number of police officers
DeptRating: Department rating (1-5)
There are various dirty data problems in this dataset, such as missing data, outlier data, and wrong data type. This is an ideal data set to experience data cleaning and processing processes commonly encountered in real life.
Student Benefits
This project provides many benefits for students:
Data Manipulation: Students develop skills in examining, cleaning, and analyzing data sets.
Using Pandas: They learn to use the data processing and analysis methods of the Pandas library effectively.
Data Cleaning: They gain skills in cleaning missing data, outliers and incorrect data types.
Business Intelligence: By analyzing data sets, they improve their ability to evaluate crime rates, judicial decisions and the performance of police departments and make strategic decisions.
Reporting: Provides skills to effectively report and present analysis results.
Real Life Applications: Provides practical information about data problems and analysis processes encountered in real life.
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