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Los Angeles
Crime Analysis
Personal Project

Project Type: Data Analytics | Exploratory Data Analysis
Date: November 2023
Location: Dallas, TX
Skills & Tools: Python | Pandas | MatPlotLib | Data Visualization

Achievements of Project

  • Accomplished identification of peak crime times measured by the distribution of crime incidents throughout the day, by analyzing the hourly data to reveal an unexpected midday crime spike.

  • Achieved insights into night-time crime hotspots.

  • Analyzed demographic vulnerabilities measured by the frequency of crimes experienced by age groups.

  • Uncovered predominant crime types measured by the occurrence of specific crimes using detailed categorization to guide the deployment of targeted resources and educational campaigns.

  • Identified most frequent night-time crime measured by the aggregation of incidents using data to prioritize and strategize night-time policing efforts.

  • Enhanced resource allocation strategies measured by the alignment of LAPD resources with identified high-risk times and areas, by applying analytical findings to optimize policing efficiency and effectiveness.

  • Facilitated adaptive public safety strategies measured by the LAPD's ability to respond dynamically to crime patterns, by leveraging data-driven insights to implement area-specific and time-specific interventions.

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Questions answered: 

  1. Which hour has the highest frequency of crimes?

  2. Which area has the largest frequency of night crimes (crimes committed between 10pm and 3:59am)?

  3. What are the number of crimes committed against victims of different age groups.

  4. What is the relationship of the crimes committed and the ages of the victims. What is the one with the most ocurrences?

  5. What crimes are commited the most after sundown? 

Contact Information

Fernando Amaya

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Dallas, TX

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972-890-7149

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fernandoamayamartell@gmail.com

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  • GitHub
  • LinkedIn

By Fernando Amaya. Powered and secured by Wix

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