nyc-open-data

There are 9 repositories under nyc-open-data topic.

  • data-analysis-using-python

    mebauer/data-analysis-using-python

    Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.

    Language:Jupyter Notebook2698044
  • josh-grasso/NYC_Residential_Real_Estate

    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.

    Language:Jupyter Notebook3101
  • bklynate/nycjobportal

    [WIP] Building a New York City job portal using the NYC OpenData Jobs API:

    Language:JavaScript24441
  • mkupisie/Clustering-geodemographic_classification_of_NYC_using_K-means_geopandas_sklearn

    Conducting geodemographic classification for ethnic groups in NYC using K-means algorithm available in sklearn.cluster module.

    Language:Jupyter Notebook1100
  • p-disha/NYC-Open-Dataset-Analysis

    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.

    Language:Python1100
  • tejakiransirivella/CrashLens-NYC

    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.

    Language:Python1
  • CyberTokyo112/data-analysis-using-python

    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.

    Language:Jupyter Notebook
  • Harish-34/renovation-trend-analysis

    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.

    Language:Jupyter Notebook
  • thetechleila/NYC-K-8-Public-School-Student-Performance-2016-2024

    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.

    Language:Jupyter Notebook