This dataset, taken directly from Kaggle, is a combination of several datasets containing a list of content (movies and TV shows) offered by the most popular streaming platforms, such as:

• Netflix
• Prime Video
• Hulu
• Disney

The TV show and movie datasets are independent; however, since they have a similar structure, I simply appended both datasets and performed some transformations with the dplyr library for better application management. Below is a sample of the transformed dataset.

head(streaming)

##                                      title year age rotten_tomatoes  type
## 1                             The Irishman 2019 18+              98 Movie
## 2                                   Dangal 2016  7+              97 Movie
## 3 David Attenborough: A Life on Our Planet 2020  7+              95 Movie
## 4        Lagaan: Once Upon a Time in India 2001  7+              94 Movie
## 5                                     Roma 2018 18+              94 Movie
## 6        To All the Boys I've Loved Before 2018 13+              94 Movie
##   platform value
## 1  Netflix     1
## 2  Netflix     1
## 3  Netflix     1
## 4  Netflix     1
## 5  Netflix     1
## 6  Netflix     1

The application consists of a series of inputs such as platform, release year, Rotten Tomatoes rating, and content type (movie or TV show) that allow you to filter two graphical elements.

1. A bar graph showing the total number of titles that meet those conditions within each of the selected platforms.
2. The top 10 highest-rated titles that meet the selected conditions.

Click the Below Link for the Application.

Streaming_ExplorerApp

Click the link below for compiled project files on github repo.

GitHub Repo

I hope this app helps you explore streaming apps in a simple and intuitive way, while also finding titles you didn’t know were available on a particular platform.