Introduction

Broadway shows are a defining feature of New York City. With each year, their popularity grows, both domestically and internationally. They are tightly knit with the NYC economy, drawing millions of visitors to the US every year. Broadway shows are those performed in one of the 41 theaters with 500 or more seats in Manhattan's Theater District or Lincoln Center. There are all types of Broadway shows, with the most popular being plays and musicals. Despite the immense popularity of Broadway shows, there is limited visual analysis of the data post-1990s.

Problem Definition

Robust empirical studies examine how internal factors such as show type and genre, award seasons, and reviews, impact show runs. Yet considering the economic impact of Broadway, there are limited studies examining how economic factors specifically affect attendance, particularly post-1990s. Our goal is to understand how economic factors such as inflation and tourism, and external factors such as theater location, influence Broadway show attendance and theater successes.

We beleive that producers and New York City tourism boards would benefit from these visual, in-depth insights that correlate Broadway attendance, a major driver of city revenue, with tourism patterns and economic indicators. Using D3.js, Tableau, and Pandas, we present visualizations beyond static tables to determine how external economic factors influence show runs.