Exploring the Building Elevation and Subgrade (BES) Dataset for New York City in Python

Mark Bauer

Table of Contents

• About the Project
• About the Data
• Press Release
• Say Hello!

About the Project

I am in the process of creating a tutorial and basic exploratory data analysis of this dataset using the Python programming language. You can find my initial work in the exploratory.ipynb notebook.

About the Data

• Data on NYC Open Data: https://data.cityofnewyork.us/City-Government/Building-Elevation-and-Subgrade-BES-/bsin-59hv
• Data on NYC Department of City Planning's website under Waterfront, Climate, & Sustainability Datasets:
  https://www.nyc.gov/site/planning/data-maps/open-data.page

Press Release

You can read the official press release here: https://www.nyc.gov/site/planning/about/press-releases/pr-20230920.page.

Say Hello!

Contact information:
Twitter: markbauerwater
LinkedIn: markebauer
GitHub: mebauer

Keywords: Building Elevation and Subgrade, Flood Risk, Flood, Flooding, Resiliency, First Floor, First Floor Elevation, First Floor Height, Lowest Adjacent Grade, Subgrade, Basement, New York City, Department of City Planning, Department of Building's, Python, pandas, GeoPandas, Numpy, Matplotlib, Seaborn, Jupyter, Open Data, Open Source, NYC Open Data.