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Personal Project

Broadway Gross Profits

April 2022 - June 2022

Deliverables

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Cleansed Dataset
Jupyter Notebook
Final Presentation

Overview

  • Cleansed and analyzed 29,107 Broadway finance records using Python and Visual Studio Code. Also used Jupyter Notebook for data visualization.

  • Identified various interesting consumer trends and show metrics, including:

    • Shows see the highest attendance during Christmas, followed by late Spring/early Summer.

    • All 5 of the higest earning shows are musicals.

  • Tracked gross profits from 1996 to 2015 to identify a continual positive trend.

  • Estimated gross profits for years before historical data was collected and reported (1990-1995) and unrecorded, pre-pandemic years (2016-2019).

  • Used OLS regression to compare correlation of attendance and number of performances with profits, finding the latter has a higher instance.

Tools

VS Code
  • Data cleansing

  • OLS Regression

  • Predictive Analytics

Jupyter
  • Data Visualization

Gallery

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© 2026 by Christina Schwendig.
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