INTRODUCTION
Disney+ is an American subscription video-on-demand over-the-top streaming service owned and operated by The Walt Disney. The Walt Disney Company is one of the most powerful enterprises of the century. The corporation has been successful in developing business models for animation and live-action films and television series, immersive theme parks and cruise lines, and themed goods, as well as purchasing entertainment organizations such as Marvel, Lucas film, ABC, ESPN, and, eventually, 21st Century Fox. In today’s corporate environment, Disney’s scale and volume of impact are unmatched. Disney+ launched on November 12, 2019. At launch, Disney+ had approximately 7,000 television episodes and 500 films, including original television series and movies from Disney Channel, National Geographic, and Freeform, as well as select titles from 20th Television. During the first three months of 2022, Disney added 7.9 million new subscribers to its Disney Plus streaming service and it is a top competitor for brands like Netflix, Amazon Prime, and Hulu.
This project intends to explore the dataset of the Disney+ platform. Assess its complexity, analyzing the data and representing it visually with the help of Tableau software. The goal is to look for answers to the questions like: Is the Disney+ platform growing? Who are the top casts of movies on Disney+? What type of shows and movies are on Disney Plus? Also, providing readers with a solid grasp of this popular OTT Streaming platform visually.
INSPIRATION
Before exploring the dataset and going into designing, I started looking for inspiration based o a similar topic. I didn’t find something extraordinary visuals on Disney + data Visualization, although I found some which helped me understand graphs and color palates. While searching in Tableau Public, I came across Sagar Tanna‘s and Saalem Mirza’s project on “Disney Plus Movies and TV shows Analysis”.
I took these visualizations as inspiration and try to create my data Visualization by adding some of my ideas to it which I will elaborate in upcoming paragraphs.
MATERIAL & PROCESS
Tools
Microsoft Excel – A spreadsheet software by Microsoft, part of the MS Office suite.
OpenRefine – A tool for working with messy data.
Tableau Public – A data visualization software.
Kaggle – open data resource
Process
Searching and Cleaning up the data
After selecting the dataset from Kaggle, I proceeded by cleaning the dataset so that it was suitable for analysis. This dataset wasn’t required too much cleaning. So, I just remove some unwanted symbols like underscore. I used Open refine “Common Transform” to edit consecutive whitespaces.
Creating Visualizations
After loading the data into Tableau, since this was the first time I was using Tableau, I first started with exploring the software by adding random data to the sheet to see what I can do. After several attempts at creating random graphs and charts, I learn the basics of the software. So after understanding Tableau a bit I decided to try graphs that can answer my initial questions with this data. First, I try to create a pie chart showcasing the types of Content the Disney+ platform offers. I choose the Pie chart because there were only two values for the type: Movie and TV Shows and I believe When comparing components of a whole, pie charts are the ideal choice. In addition, I try to make a line graph for “Growth in content over the years”. In this, I try to use the technique which I learn in lab class to show the growth by color gradients. After these two graphs, I created “Age Rating Distribution of Movies & TV Shows”, “Trend by Months”, “Top 10 Casts of Movies & TV Shows on Disney +”, “Top 10 Directors of Movies on Disney +”, and “TV Shows with many seasons”. While creating these graphs/ Charts one of the most important things was color Palette. An effective color palette helps filter out unnecessary information distractions and helps users to understand the data easily. I choose Tableau’s Blue-Teal Color Palette. I choose this color Palette because it represents the color of the brand. After I completed the worksheets, I made a dashboard representing all of the worksheets. I try to use my inspiration and added some design elements related to the content to make it more visually appealing without distracting the users from the important information.
RESULTS
Visualizations & Findings
I made six infographics in total two show data of different areas on the Disney+ platform. On the dashboard, the dark tone of teal blue color represents the higher number and the light teal blue color represents the lowers numbers. In some chart/graph dark tone of teal blue color represents movies and light tone of teal blue color represents TV shows. Annotations are added to help readers understand where the major gaps are. I have added two elements film reel and movie clapper to make the dashboard visually appealing and to make it easy to understand for the audience that the data is about movies and shows.
1. Content-Type on Disney +: This pie chart shows the percentage of two categories on the Disney + platform: Movies & TV shows. I chose Pie charts to represent this information because there are only two variables, and I believe when comparing components of a whole, pie charts are the ideal choice.
Finding: As you can see, Disney prioritizes movies above TV shows. Perhaps because Disney’s audience prefers movies over television shows.
2. Growth in Content over years: This chart showed the growth of the TV shows & movies on Disney + platform over the year. Although in the data the year starts from (1920-2022), I have only showcased the major growth years. I chose the line graph to showcase the growth. When you want to depict how the value of anything varies over time or compare how numerous items change over time compared to each other, line graphs (or line charts) are the ideal choice.
Finding: The original release year of movies and series accessible on Disney+ is shown above. You can see that the amount of content has increased over time. More people are shifting to OTT platforms now and Disney+ is also growing. You can see that in 2020 the highest number of films as well as TV shows were released. I assume it is because of the pandemic.
3. Age Rating Distribution of TV shows and Rating: This Tree map showcases the distribution of TV shows & Movies with respect to Age ratings. This data can be displayed by a pie chart, bar graph, or Treemap. There were a few reasons for choosing a Treemap. First, I wanted to present my data with a variety of charts/maps/graphs, so I eliminated the most common graph: the bar graph. Between Pie charts and Treemap, I choose the Treemap because a tree map’s rectangular blocks are easier to read than pie charts’ wedges when there are more than two variables.
Findings: Almost 60% of Disney+ content is rated TV-G, G, and TV-PG
4. Top 10 Casts of Movies & TV Shows on Disney +: In this graph, I demonstrate the top 10 Disney Plus casts. I chose the bar graph because I think it best represents this data.
Finding: Winston Hibler is the in number one cast on Disney+, who was in 10 movies.
5. Top 10 Directors of Movies & TV Shows on Disney +: In this graph, I demonstrate top 10 Disney Plus directors. I chose the bar graph because I believe it best represents this data.
Finding: Vincent McEveety is the director who directed maximum number which are available of Disney+ and is on number one in the list.
6. TV Shows with many seasons: This highlighted table presents the number of seasons concerning the number of TV Shows. I chose a table for this data because there was a very huge difference between the variables 204 TV shows have season 1, but others are not even close to it.
Finding: 204 TV shows have only one season. And there is one show which has 31 seasons. Maximum number of shows have only one season.
REFLECTION
It was fun researching Disney+ platform for this project. As I am writing a research paper on OTT platforms, it was interesting and exciting to explore the data of movies and TV shows on Disney+. This was my first time using Tableau, and it was both fascinating and challenging. I am still trying to learn more about Tableau. I still need to learn how can I edit and make graphs of data which are written multiple times such as countries. A single country is mentioned multiple times individually as well as with other countries. How to that filter data precisely.
Limitation & Future Directions
I felt that my data could have included some areas like IMDb rating of the movies and shows, subscription, popularity, etc. And as I still need a lot to learn about Tableau, I was not able to make good use of certain data presented in the dataset like countries, genre, and time duration. There were several areas where the data was missing. In the future, I’d like to dig deeper into the platform’s rating, popularity, and subscriptions. I’d also like to compare Disney+ statistics to some of its competitors, such as Netflix, Amazon Prime, and Hulu. And, to create better. and more advanced visualizations, I plan to learn more about Tableau.
REFERENCES
Disney+. (2022). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Disney%2B&oldid=1094166331
Disney+ | Tableau Public. (n.d.). Retrieved June 21, 2022, from https://public.tableau.com/app/profile/kirtika.arora/viz/Disney_16557166212420/Dashboard1?publish=yes
Disney+ Movies and TV Shows. (n.d.). Retrieved June 21, 2022, from https://www.kaggle.com/shivamb/disney-movies-and-tv-shows
Disney Reports Jump in Disney+ Subscribers in Latest Quarter—WSJ. (n.d.). Retrieved June 21, 2022, from https://www.wsj.com/articles/disney-seen-showing-increase-in-disney-subscribers-in-late
Kaggle: Your Home for Data Science. (n.d.). Retrieved June 21, 2022, from https://www.kaggle.com/
Microsoft Excel Spreadsheet Software | Microsoft 365. (n.d.). Retrieved June 21, 2022, from https://www.microsoft.com/en-us/microsoft-365/excel
OpenRefine. (n.d.). Retrieved June 21, 2022, from https://openrefine.org/