Netflix Film Analysis

Spring 2024 Data Visualization Project | Old Dominion University

Click here to watch my YouTube video overviewing the project.

Overview

This project examines the correlation between the runtime and weekly views of films featured in Netflix's top ten rankings each week. It also investigates which calendar seasons produce the highest viewership for these films.

Files in this Repository

• CS625_SemesterProject.ipynb: Jupyter notebook containing the project code.
• all-weeks-global.csv: Original dataset file in CSV format.
• all-weeks-global.xlsx: Original dataset file in Excel.
• dataset.png: Image of the dataset used.
• project-report.md: Detailed report on the project.
• question1.png: Visualization for the first question.
• question2.png: Visualization for the second question.
• subquestion-question1.png: Visualization for the subquestion of the first question.

Getting Started

Prerequisites

• Google Account to use Google Colab

Usage

1. Open the Google Colab notebook in your browser.
2. The notebook already contains the results from the last save. If you want to re-run the analysis, follow these steps:
   • Run each cell individually by clicking on the play button next to each cell.
   • Alternatively, to run all cells, go to the menu and select Runtime > Run all.

Project Report

For a detailed explanation of the project, including methodologies, analysis, and results, please refer to the project-report.md file.