Description: In March 2020, global travel restrictions were put into place as a response to the pandemic COVID-19. As a result, people turned to at-home entertainment. Our project analyzes the trends in Internet movie viewing habits. We will examine data between 2019 and 2020 and look for shifts in genre and identify any other significant changes in viewing patterns. While 2020 may have been a boom year for organizations such as Netflix and Zoom, it is going to be interesting to see the impact on their numbers (if any) once things get better.
Scope and Purpose:
The scope of the project will include the movies released between 2019 and 2020 encompassing a wide variety of genres. This project will serve as a platform to analyze trends and will also help the industries in the future understand a little more about mental well-being and happiness as it relates to choice of entertainment.
Summary of Findings: The number of ratings of a given genre has a strong positive relationship to the number of movie votes in that genre.
Total subscribers(2020): USCAN:289.9 M World: 774.7 M Total Covid-19 Cases (2020) : 297 M
Top Genres by # Movies Released 2019: Drama, Comedy (972 = Total # Movies Released in 2019) 2020: Drama, Comedy (877= Total # Movies Released in 2020)
Top Genres by # Movies Released 2019: Drama, Comedy 2020: Drama, Comedy
Top Genres by Votes 2019: Action, Drama 2020: Drama, Comedy
Top Genres by Rating 2019: Comedy, Drama 2020: Comedy, Drama
Top Genres by Revenue 2019: Action, Crime 2020: Drama, Action
Updated: Feb 6, 2021 | Created: Jan 31, 2021 Copyright: open source
== License =========================== None. See Installation instructions below for a list of applications.
== Configuration Instructions ======== None. See Installation instructions below for a list of applications.
== Installation Instructions ========== Applications used for the Pandemic Watching project:
- Jupyter Notebook
- GitBash terminal
- Visual Studio Code or similar text reader for the Readme.md
- Image viewer such as Microsoft Photos or Microsoft Paint
- Git Hub (for version control and to share code while in development)
- Google Drive to collaborate on documents such as: project outline and project presentation
- Various dependencies and setups were required as part of pip, Jupyter Notebook. See "Dependencies and Setup" at the top of the Jupyter Notebook for a list of dependencies.
Similar applications may also work.
== Operating Instructions ============= Open the ipynb files in Jupyter Notebook. Review analysis throughout the notebooks. Play/run all rows in order from top to bottom to review code output and data analysis.
ATTENTION: If you want to run this script, register to the API resources listed below and name the file api_key.py.
== List of Files ==================== \Pandemic-Watching README_Project1.md covidnet_flix.ipynb new_moviesDB_flix.ipynb .gitignore \Images Images related to Jupyter Notebooks \Resources Resources and data files related to Jupyter Notebooks
== Data Set(s) =======================
See also "Resources" in List of Files section above.
Statista - Netflix: number of subscribers worldwide 2020 https://www.statista.com/statistics/250934/quarterly-number-of-netflix-streaming-subscribers-worldwide/#:~:text=Netflix%20had%20203.67%20million%20paid,Netflix's%20total%20global%20subscriber%20base
worldometers.info Coronavirus Update (Live): 104,393,004 Cases and 2,262,795 Deaths from COVID-19 Virus Pandemic - Worldometer https://www.worldometers.info/coronavirus/
The Open Movie Database http://www.omdbapi.com/
The Movie Database https://developers.themoviedb.org/3
Flixable https://flixable.com/
URLs were last accessed: January 31, 2021
API Resources: Registration is required to obtain personal APIs. Follow respective documentation at each website for more information. APIs registered on: January 22, 2021
== Known Bugs ===================== None.
== Troubleshooting =============== #print hashtags are used liberally throughout the Jupyter Notebook code to run individual lines of code for additional testing/troubleshooting, and general comment hashtags are used for code notes/additional information.
== Contact Information ===============
DU Data Analytics Bootcamp Project #1 Saturday, February 6, 2021 Presented by: Alyson Amtman, Susan Farago, Sara Kayhan, Swati Oberoi Dham, Catherine Poirier, and Aishwarya Rao
Colorado, United States
Team time to complete: approximately 65 hours.