
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
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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.
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Achieved insights into night-time crime hotspots.
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Analyzed demographic vulnerabilities measured by the frequency of crimes experienced by age groups.
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Uncovered predominant crime types measured by the occurrence of specific crimes using detailed categorization to guide the deployment of targeted resources and educational campaigns.
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Identified most frequent night-time crime measured by the aggregation of incidents using data to prioritize and strategize night-time policing efforts.
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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.
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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:
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Which hour has the highest frequency of crimes?
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Which area has the largest frequency of night crimes (crimes committed between 10pm and 3:59am)?
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What are the number of crimes committed against victims of different age groups.
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What is the relationship of the crimes committed and the ages of the victims. What is the one with the most ocurrences?
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What crimes are commited the most after sundown?