Sooyeong Choi

Word Cloud Generator URL: https://www.freewordcloudgenerator.com/generatewordcloud

The Article Referred: https://www.economyinsights.com/p/the-future-of-movie-theaters

Short Summary: The article "The Future of Movie Theaters" explores how movie theaters respond to issues like as the rise of streaming services and the pandemic. Even while ticket sales have increased, they are still lower than they were before 2020, and a greater proportion of moviegoers are wealthy. Studios are experimenting with dual-release strategies as a result of changing viewing habits brought about by streaming platforms. Despite these changes, new technology and experiences that focus on the public contribute to growth in the worldwide movie theater business. In the rapidly changing entertainment industry, theaters that innovate and improve the film experience may continue to prosper.

Procedure:

Chose the article of my interest.
Put the article URL to the Word Cloud Generator.
Adjusted the word numbers and color palettes of the word cloud.

Reason for the choice of the colors Black and Red is because I thought the colors match the color of theater, which is closely related to the topic of the word cloud. Also, it is catchy and clear. Since the words used in the word cloud are short, I chose to have more number of words in the cloud.

Final Project

Music Industry Consumption Trend

This explores the topic of music industry consumption trends, focusing on the comparison of sales figures across different music product formats. Specifically, it analyzes sales of Digital Singles, Studio Albums, Physical Singles, Streams, and Other LPs to better understand current audience preferences.

The data for this project was obtained from the following source, which ranks the top 100 best-selling artists of all time along with their sales data:
https://chartmasters.org/best-selling-artists-of-all-time/?utm_source=chatgpt.com

The data was initially compiled into an Excel spreadsheet. From there, I manually extracted the top 10 sales figures for each category—Digital Singles, Studio Albums, Physical Singles, Streams, and Other LPs—to create a new, cleaned dataset tailored for visualization. Both the original dataset and the cleaned version are submitted through Canvas.

For the data visualization component, I began with a basic horizontal bar chart to represent the sales performance of each format. To offer a clearer comparison of total sales, I then created another horizontal chart titled "Sum of Copies Sold by Format." This chart demonstrates that Digital Singles are the most consumed format, whereas Streams appear to be the least. This observation reflects a notable trend in how contemporary audiences consume music.

A vertical version of the same data was also created, titled "Sum of Each Sold 2." Additionally, to visualize specific category comparisons, I used tree maps to highlight the top 10 sales of Studio Albums and Other LPs. While similar tree maps could be created for all five formats, I limited the scope to these two due to space constraints.

Through this analysis of music consumption trends, it becomes clear that digital formats, particularly Digital Singles, dominate the current market, while traditional formats like Streams and Other LPs are less favored. Through this project, I could learn how to analyze and visualize data on my requirements and showcase it in Tableau.