Topic: "nyc-open-data"
mebauer/data-analysis-using-python
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
Language: Jupyter Notebook - Size: 572 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 247 - Forks: 39
bklynate/nycjobportal 📦
[WIP] Building a New York City job portal using the NYC OpenData Jobs API:
Language: JavaScript - Size: 2.78 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
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: Python - Size: 25.4 KB - Last synced at: 14 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
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 - Size: 272 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
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 Notebook - Size: 1.25 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
