St. Louis Homicide Analysis

By: Nikolay, Melis, Divya, Ankit

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Overview

oThe Problem

oObjective

oMethodology 1

oMethodology 2

oConclusion

oQuestions?

The Problem

St. Louis consistently ranks TOP 5 in the most dangerous cities in America every year

Objective

oUse Quantitative and Qualitative Data

oCreate a model that can predict homicides for the current year and location

oIncrease the rate of prevention, by giving St. Louis police accurate data to strategically deploy their limited resources

Methodology Part 1

oQualitative approach

Using statistical data from government agencies

Logical data analysis

Findings of patterns, correlations  and trends

Elements Considered

oNumber of Churches

oNumber of Hospitals and Universities

oNumber of Bars and Restaurants

oNumber of High Schools

oNumber of Community Centers

Methodology Part 2

oQuantitative approach – Regression Analysis

Multiple regression model:

oDependent Variable

Total number of homicides in each district

oIndipendent Variables

Number of unemployed people

Number of gun sales

Total number of violent crimes in St. Louis City

Total number of forcible rapes in St. Louis City

Total number of robery in St. Louis City

.

Conclusion

oPredicted murders : 123
oRegression Analysis
oSample Size, Accuracy

oDifferent methods