Dorwin Liang

Data Analytics & Visualization Specialist

I Turn Complex Data into Clear Visual Stories

NYC Public Safety Optimization Analysis


Introduction

As a pet owner, I often see other pet owners walk their dogs unleashed and without proper training. I was then curious about whether dog bite cases were a problem in NYC given that I found it concerning the number of pet owners that do not take any precautions around other people and other dogs. I found this dataset that had reported dog bite cases in NYC from 2015-2022 and I then set out to find interesting insights and analysis revolving around dog bite cases. In addition, by analyzing this dataset, I could highlight trends and patterns involving this issue and offer insights that could help prevent such incidents from occurring.

Research Questions

The questions I wanted to answer were:

  1. Are certain breeds more involved in bite incidents than others?
  2. What is the trend of dog bites by borough from 2015-2022?
  3. Which zip codes have the most number of dog bite cases?
  4. Does the age of the dog correlate with bite incidents?
  5. Are spayed/neutered dogs more likely to bite than non-spayed/neutered dogs?
  6. Are total cases of dog bites increasing or decreasing over time?
These questions help find trends and insights into dog bite cases that may not be obvious initially.

Data Source

The analysis is based on the official dog bite incident records provided by the New York City Department of Health and Mental Hygiene, covering the years 2015-2022.

This dataset contains

Data Cleaning in Excel

The data was cleaned and prepared using the following steps in Excel:

  1. Removing duplicates: Entries that were repeated were removed to ensure accuracy.
  2. Removing rows where there were missing values for the breed of the dog bite case
  3. Replace empty categorical column cells with 'Unknown' as a value
  4. Remove columns that were unneeded for analysis
  5. Format the date column from a string to Date format.
  6. Bin the dog age columns into groups.
  7. CleaReformat values for the Gender column to be more specific.

Data Exploration / Visualization

I chose Tableau for data exploration, as the visualizations were instrumental in answering the research questions.

The Tableau Dashboard can be found here: NYC Dog Bite Cases 2016-2022

Findings & Insights

View the Tableau Dashboard Here: NYC Dog Bite Cases 2016-2022

© 2024 Dorwin Liang