Personal Project
Broadway Gross Profits
April 2022 - June 2022
Overview
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Cleansed and analyzed 29,107 Broadway finance records using Python and Visual Studio Code. Also used Jupyter Notebook for data visualization.
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Identified various interesting consumer trends and show metrics, including:
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Shows see the highest attendance during Christmas, followed by late Spring/early Summer.
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All 5 of the higest earning shows are musicals.
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Tracked gross profits from 1996 to 2015 to identify a continual positive trend.
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Estimated gross profits for years before historical data was collected and reported (1990-1995) and unrecorded, pre-pandemic years (2016-2019).
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Used OLS regression to compare correlation of attendance and number of performances with profits, finding the latter has a higher instance.
Tools
VS Code
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Data cleansing
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OLS Regression
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Predictive Analytics
Jupyter
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Data Visualization
Gallery
(Click arrows)



