Mark Bauer's Projects
My blogs about Data Analysis, Data Science, and Machine Learning
Obsessed with Boba? Analyzing Bubble Tea Shops in NYC Using the Yelp Fusion API
A Five Step Approach to Evaluate NYC’s Building Elevation and Subgrade Dataset in Python.
Analyzing COVID-19 county data from The New York Times.
Analyzing COVID-19 data for New York State from the New York State Department of Health.
Analyzing COVID-19 state data from The New York Times.
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
The Leek group guide to data sharing
Analyzing FEMA's National Flood Insurance Program (NFIP) Data With DuckDB.
DuckDB in Python: A Beginner's Guide.
NYC's 311 Street Flooding Complaints for Tropical Storm Esla (7/9) as well as the Flash Flood the day before (7/8).
Analyzing FEMA's National Flood Insurance Program (NFIP) Claims Data Using Python
Exploring National Flood Insurance Program (NFIP) Data for New York City.
A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)
A robot powered training repository :robot:
Ibis Basics: An Introduction to the Portable Python Dataframe Library
My personal repository
Portfolio
Analyzing NYC's 311 Street Flooding Complaints from 2010 to 2020.
Exploratory Data Analysis of Art Galleries in Manhattan, New York City
Flood Data Catalog for NYC: Comprehensive Inventory on NYC Open Data.
A Collection of Flood Hazard Layers for New York City.
New York City Flooding Reports and Publications.
New York City's Preliminary Flood Insurance Rate Map (PFIRM) Data Analysis in Python.
Exploring NYC's DEP Citywide Parcel-Based Impervious Area GIS Study.