Dallas Crime Effect on Housing Prices

R, Data Analysis, Predictive Modeling

Main project image

Determine the safest place to live with the data analysis performed. Find the lowest crime rate areas along with associated housing pricing. Analysis performed using R.

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Table of Contents

  1. Overview
  2. Role
  3. Problem
  4. Goal
  5. Solution

Overview

Statistical analysis of 50k+ crime/housing records to identify trends. Analyzing the relationship between arrests and property types to determine if a correlation exists between pricing and housing cost.

👨‍💻 Role

Developer

❓ Problem

  1. Lack of data-driven understanding of crime’s economic impacts
  2. Stakeholders need reliable data for predictive insights
  3. Understanding if the Statistical analysis performed is accurate
  4. Housing data is sparse and often requires payment

🎯 Goal

  1. Determine safest location to reside in Dallas, Tx.
  2. Empower users to make informed life decisions with intuitive visualizations such as shape maps
  3. Determine arrest hotspots per zip-code

✨ Solution

Shapemap