Top 10000 Popular Movies Dataset
Top 10000 Popular movies based on TMDB ratings
@kaggle.omkarborikar_top_10000_popular_movies
About this Dataset
Top 10000 Popular Movies Dataset
Context
Recommendation systems are used everywhere now a days. Netflix , Amazon Prime , YouTube , Online shopping sites etc. Datasets like this are great way to start working on Recommendation system.
The Dataset was created from the official API provied by TMDB
Content
What's inside is more than just rows and columns. This is the dataset for 10000 Popular movies based on the TMDB ratings. Ideal database to start off with Recommendation algorithms.
| Column Name | Description |
|---|---|
| id | Every movie has its unique ID. |
| original_language | There are total 44 languages present in this column. Total 7771 movies with 'English' as original language. Values in this column are ISO 639-1 codes of languages. I.e 'en' for 'English' , 'hi' for 'Hindi' etc. |
| original_title | Title of the movie. |
| popularity | Popularity of movie. Bigger the number , higher the popularity. |
| release_date | Release date of the movie. If release date is not present for any movie , then that movie is not released yet. |
| vote_average | Average of rating/vote for the movie. |
| vote_count | Number of ratings/vote recorded for the movie. |
| genre | Genre of the movie. |
| overview | Brief description of movie in string format. |
| revenue | Revenue of Movie |
| runtime | Runtime of movie in minutes. |
| tagline | Tagline of the movie |
Origin
The code which was used to extract this dataset can be found here - Creating Dataset of top 10000 popular movies
Update
Added Overview , Revenue , Runtime, tagline column for each movie.