Home Assistant integration for NYC trash collection, school, and alternate side parking schedules.
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Updated
Aug 5, 2024 - Python
Home Assistant integration for NYC trash collection, school, and alternate side parking schedules.
Automated monitoring of new and updated datasets posted to New York City's data portal
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A single page streamlit dashboard with requisite shell scripts to deploy the webapp on AWS EC2 and provide insights on NYC OpenData Motor Vehicles crashes dataset
Forecasting parking violations in NYC
This repository contains the code and outputs along with the execution instructions for the profiling and analysis of datasets from NYC Open Data
🗣 Renters Speak gives users a peek behind the curtain of the New York City rental market. Designed for renters looking for more information about their current or prospective landlords, this app provides a platform for users to write and share reviews of landlords and also presents data related to building ownership and building maintenance viol…
This application is a Streamlit dashboard to analyze motor vehicle collisions in NYC 🗽💥🚗
Coursera mimiproject to learn Streamlit applied to a NYC Car crashes DB
Analyzed the correlation between the density of Airbnbs and the number of crimes/complaints reported in NYC’s neighborhoods by extracting relevant data from massive public datasets through a combination of AWK and Python scripts ran in Linux’s command line. This was the project to my Applied Linux Programming and Scripting college course.
NYC 311 Data ETL webapp
Data Science Web App Streamlit: Analyzing Motor Vehicle Crashes from NYC
An analysis of NYPD complaints using open data sources.
Docker image for geosupport
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.
Data pipelines for CEQR APP, managed by data engineering
Dynamic time-lapse visual of NYC Taxi trip data using Taxi Zone GeoJSON structures
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