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Exploratory data analysis and interactive visualization of urban tree health and spatial distribution using NYC OpenData.

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Python Pandas Plotly Dash Geospatial

GreenPulse: Urban Tree Health & Distribution Analysis

Overview

GreenPulse is an exploratory data analysis project that analyzes urban forestry data from NYC OpenData to understand tree health, size distribution, and spatial patterns across boroughs.

Key Objectives

  • Clean and preprocess large-scale urban tree census data
  • Analyze tree health and diameter distributions
  • Build interactive visualizations for policy insights

Tools & Technologies

  • Python (Pandas, NumPy)
  • Plotly, Dash
  • Folium (Geospatial Mapping)

Key Insights

  • Most urban trees fall in the 5–10 diameter range
  • Borough-level differences indicate varying urban forestry maturity
  • Interactive dashboards enable stakeholder-driven exploration

Skills Demonstrated

Exploratory Data Analysis, Data Cleaning, Data Visualization, Spatial Analysis

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Exploratory data analysis and interactive visualization of urban tree health and spatial distribution using NYC OpenData.

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