Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

Spatial Data Files and Census Estimates for NYC

R interface to NYC's Geoclient REST API

Documentation of analysis for "The State of the Urban Forest in New York City," a report developed by The Nature Conservancy, NYS Cities Program.

Analysis of rideshare trips taken in New York City.

In R, make an animated map of NYC 311 data by zip code and month as well as a line graph showing seasonal changes by NYC Borough. This example uses reports of rat sightings to NYC's 311.

Modeling academic improvement in New York City high schools using various predictor variables; completed as a project for a Harvard class on statistical modeling

Interactive Shiny app for exploring and animating NYC subway traffic patterns from MTA turnstile data.

Comprehensive analysis of spatial distribution equity of athletic facilities in New York City

New York State local election data in a tidy data frame

Mapping and analyzing Citi Bike trips in NYC

Bayesian multilevel modeling of real estate sales in NYC

project2-cycle2-10 created by Classroom for GitHub

🟡 Data visualization & analysis of COVID 19 data in the NYC area

Have fun playing with this interactive Shiny App and see what you can find out about Broadway shows!

This R project conducts statistical analysis & produces scatterplots / visuals based on monthly + annual Central Park precipitation data from 1860 to 2022.

Predictive analysis of ride-sharing demand in NYC using Bolt and weather data.

A project to analyze restaurants in NYC to provide diners with a comprehensive guide on where to dine

A workshop for the Housing Data Coalition on using R to analyze NYC housing data

This project aims to examine COVID-19 (novel coronavirus) trends throughout the 5 boros of New York City, from August 2020 until the present. Measurements are (per 100,000 NYC residents) cases, tests, and percent of NYC residents who tested molecularly positive for COVID-19. Data is aggregated weekly from the NYC Dept. of Health.