INFO 523 - Spring 2024 - Project 1
1.Quartile approach ensures representative observations by identifying popular films based on average ratings.
2.To identify changes in the popularity of a genre, a multifaceted bar chart shows the genre distribution in the top quartiles across several decades.
3.The scatter plot illustrates trends in preferred movie lengths and title lengths throughout time by correlating movie duration and average rating, color-coded by title length.
4.Combining approaches reveals changes in industry trends and consumer tastes over decades in well-known Christmas films.
1. We investigated correlations between movie features and earnings, and by utilizing IMDb’s API to supplement dataset with box office information.
2. which Populated a new “earnings” column using IMDb’s API and unique movie identifiers (tconst), enabling analysis without exposing API key or executing real-time calls.
3. Generate earnings data once and update a copy of the dataset in the /data folder to avoid repeated API calls and ensure efficiency.
4. Ensure data security by not exposing the API key and minimize processing time by pre-fetching earnings data.
As holiday film trends changed, comedy and drama took center stage. The duration of the film did not greatly affect the ratings.
The highest-grossing movies are those with Hanukkah themes, followed by traditional Christmas blockbusters. Films with a Kwanzaa or holiday theme made less money. Particular seasonal themes seem to be the most profitable, particularly Hanukkah and Christmas.
[1] Title: Holiday Movies, Source: tidytuesday, Link: https://github.com/rfordatascience/tidytuesday/blob/master/data/2023/2023-12-12/readme.md
[2] Quarto, For documentation and presentation - Quarto
[3] Our Presentation Background Image - Link: https://www.freepik.com/free-photo/takeaway-drinking-glass-with-straw-3d-glasses-cinema-tickets-popcorn-box-against-white-backdrop_4822391.htm
[4] Our thank you Image - https://boslean.weebly.com/blog/powerpoint-transparent-png-thank-you-gif