nyc-open-data
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Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
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Nov 23, 2024 - Jupyter Notebook
Buying a home in NYC, what Neighborhoods are the best value? This project seeks to understand the fundamental factors that explain differences in residential real estate prices across NYC.
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Apr 14, 2021 - Jupyter Notebook
[WIP] Building a New York City job portal using the NYC OpenData Jobs API:
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Jul 20, 2022 - JavaScript
Conducting geodemographic classification for ethnic groups in NYC using K-means algorithm available in sklearn.cluster module.
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Jan 25, 2024 - Jupyter Notebook
Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived inference the 3 most frequent 311 complaint types by borough.
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Apr 15, 2020 - Python
CrashLens analyzes traffic accident data through visualizations (histograms, pie charts, line plots, scatter plots) and DBSCAN clustering to identify accident hotspots. It includes data cleaning and supports datasets from various locations, with a focus on NYC crash data.
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Feb 20, 2025 - Python
Interactive Streamlit dashboard analyzing NYC renovation permits using NLP, clustering, time-series trends, and ML models. Includes keyword extraction, category prediction, PCA plots, and exportable visuals.
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Jul 10, 2025 - Jupyter Notebook
EDA to find insights, trends and patterns among the NYC K-8 Public School student academic performance and population to determine which factors may have impacted educational outcomes after the Covid19 Lockdown.
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Aug 21, 2025 - Jupyter Notebook
Developed a comprehensive exploratory data analysis (EDA) of a vehicle repairs dataset, uncovering patterns in repair types, costs, and vehicle platforms. Includes data cleaning, insights extraction, tag generation from free-text fields, and saving of cleaned datasets for further analysis.
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Oct 13, 2025 - Jupyter Notebook
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