NYC Open Data Week 2023 📊

When 🗓

Saturday, March 18, 2023

NYC School of Data

Schedule 🕘 Session Details 🎞 ⭳ Download Presentation Slides

Organizers: NYC Data Team @ OTI ✨ BetaNYC ✨ Data Through Design

Description 🌦

• What secrets can we learn about NYC from 311 Street Flooding Complaints❓

• Have you ever considered examining the relationship of NYC 311 Street Complaints dataset to other geospatial datasets❓

In this talk, we attempt to answer three questions:

How can we measure inequality in street flooding complaints?

Is there a relationship between street flooding complaints and property values?

How does street flooding complaints compare to actual modeled flooding data?

Inspiration!

This project stems from a prior NYC Open Data 2021 talk: Analyzing NYC’s 311 Street Flooding Complaints from 2010 to 2020, given by Mark Bauer. This talk is an attempt to address some of the questions that were asked during the Q&A session.

Who should attend? 👩🏽‍💻

Anyone with beginner-level proficiency is welcome! It is helpful, but not required to have some background knowledge in:

✔ Basics of Python or other programming languages (R, SQL, etc.)
✔ Implementing Data Analysis techniques
✔ Working with Jupyter Notebooks
✔ Interest in NYC 311 Open Data or Street Flooding datasets

Speakers | Say Hello 👋

A group of civic minded data enthusiasts, who enjoy solving City related data problems together.

Presenter	LinkedIn	GitHub	Twitter
Ho Hsieh
Nathan Williamson
Mark Bauer
Chidi Ezeolu

Agenda 📄

1️⃣ Introduction

• Who we are

• Website and GitHub Repo

2️⃣ Statement of Objectives

• Brief Overview of Data Science Lifecyle

• Why Beyond EDA?

3️⃣ Analysis Methods

• Method 1

• Method 2

• Method 3

4️⃣ Summary & Conclusions

• References & Resources

• Q & A

Visualizations 🖼

[Ezeolu, 2023, user Skysmith et al., 2005]

[Ezeolu, 2023]