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A Love Letter to Broadway

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“Give my regards to Broadway, remember me to Herald Square, tell all the gang at 42nd Street, that I will soon be there”

– George M. Cohan

Intro

Broadway theater, also known simply as Broadway, refers to the theatrical performances presented in professional theaters, each with 500 or more seats located in the Theater District and Lincoln Center along Broadway, in Midtown Manhattan. 

This Shiny app built in RStudio is created to send my love to Broadway. Code can be found here in my Github repository.

The dataset is made available by the Broadway League and organized by Austin Cory Bart from the CORGIS Dataset Project. The marvelous design is from David Smale.

Let’s have fun playing with this interactive Shiny App and see what you can find out about Broadway shows!

Shiny App

The dataset stretches from the 1990s to August 2016, and only shows that reported capacity were included. The dashboard has the following tabs:

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Running Weeks

Running weeks is often used to measure the success of a Broadway show. The bar plot for running weeks is derived from the selected show type — musical, play or special performance — and year range. The red line represents the average running weeks for shows selected. Below is the data for 10 years from 2006 to 2016 for 3 show types:



My findings:

Broadway Ticket Price



My findings:

Broadway Theatres

Lastly, you can zoom in, drag, hover and select nodes to reveal the strength of the connection between theatres and Broadway shows.

Each red star represents a theater that hosts the most shows, and each black dot represents a Broadway show from 1991 to 2016. The lines link a show to the theater(s) they were at. For example, Macbeth had four productions in four different theatres in 25 years. Just for fun, can you find out which theaters it was in. 

You can always search for show name, opening year, show type or theatre under The Book of Shows tab for more information.

I hope you enjoy this Shiny App and explore as much as you can. If you find something interesting about Broadway shows through this app, I’d be happy to hear about it! 

To leave a comment for the author, please follow the link and comment on their blog: R – NYC Data Science Academy Blog.

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