Analyzing NYC's 311 Street Flooding Complaints from 2010 to 2020

Actions and Detail Panel


Event Information

Share this event

Date and Time



Online Event

Event description
NYC Open Data Week 2021

About this Event


Friday, March 12, 2021

2:00pm - 3:00pm EST



Register in advance for this meeting:

After registering, you will receive a confirmation email containing information about joining the meeting.


Analyzing NYC's 311 Street Flooding Complaints from 2010 to 2020

Event Description:

Flooding poses a serious threat to coastal cities all around the world, and New York City is no exception. Hurricane Sandy in 2012 devastated the area, with many communities still suffering from its effects or unable to fully recover. What can citizen science data tell us about where flooding occurs and how it is changing over time? Additionally, how can this data potentially play a role in how New York City prepares and ultimately mitigates flooding in the future?

In this virtual talk, I will explore NYC's 311 street flooding complaints data. Attendees will leave with a basic understanding of:

1. The distribution of street flooding complaints throughout the five boroughs

2. How street flooding complaints are changing over time

3. Case studies from Midland Beach, Staten Island and Arverne, Queens

Talk Level:



- Basics of Python or other programming languages (R, SQL, etc.)

- Knowledge of Data Analysis

- Basics of Jupyter Notebooks

This presentation recommends beginner-level proficiency with Python and is focused on applying Python to data analysis; however, those new to Python are gladly welcome!


See GitHub repo:

About the speaker:

Mark is a Data Analyst at the New York City Office of Management and Budget (OMB). He was awarded the New York City Mayor’s Graduate Scholarship in 2018 to pursue an Advanced Graduate Certificate in Urban Science and Informatics at NYU and holds a BA/MCRP in Urban Planning from Rutgers University. Since attending NYU, he has developed many tutorials in Python that assist beginners with extracting and analyzing data from NYC Open Data. He currently lives in New York City.




Share with friends

Date and Time


Online Event

Save This Event

Event Saved