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Individual User Cinema Consumption Log
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About
Gain insights into personal cinematic consumption through this curated record of nearly 1,000 titles watched by an individual user over a multi-year period. Designed to facilitate data analysis and exploration, the file captures a wide array of metadata for movies and TV shows, ranging from classic cinema releasing as early as 1916 to modern productions from 2019. This collection enables researchers and enthusiasts to examine viewing habits, correlate personal ratings with global IMDb scores, and investigate genre preferences across a timeline of user activity spanning from 2015 to 2020.
Columns
- Position: The numerical order of the item in the list.
- Const: Unique identifier for the title (e.g., tt0332280).
- Created: The date the title was added to the watchlist.
- Modified: The date the entry was last updated.
- Description: A field for additional notes (currently null for all records).
- Title: The name of the movie or TV show (e.g., The Lion King).
- URL: Direct link to the IMDb page for the specific title.
- Title Type: Categorisation of the entry (predominantly 'movie', with some 'tvSeries' and other types).
- IMDb Rating: The global average rating on IMDb (ranging from 3.4 to 9.5).
- Runtime (mins): Duration of the title in minutes.
- Year: The year the title was released (spanning 1916 to 2019).
- Genres: The genre classification(s) of the title (e.g., Drama, Romance).
- Num Votes: The total volume of votes the title has received on IMDb.
- Release Date: The specific date of the title's release.
- Directors: The director(s) associated with the work.
- Your Rating: The user's personal rating for the title (ranging from 1 to 10).
- Date Rated: The date the user assigned their personal rating.
Distribution
The data is structured as a CSV file containing exactly 1,000 valid records and 17 columns. The entries are complete with no mismatched data, though 'Your Rating' and 'Date Rated' have approximately 34% missing values, indicating not every watched item was rated. The content is heavily skewed towards movies (93%), with a smaller portion of TV series (5%).
Usage
- Personal Preference Analysis: Train recommendation engines based on user ratings and watched history.
- Trend Visualisation: Plot viewing habits over time using the 'Created' and 'Date Rated' timestamps.
- Rating Correlation: Compare the user's personal ratings against the global 'IMDb Rating' to identify unique tastes or biases.
- Genre Study: Analyse the distribution of genres (e.g., Drama, Romance) within a personal watchlist.
Coverage
- Content Timeline: Covers release dates from 1916 to 2019.
- User Activity Timeline: Records user list activity from August 2015 to April 2020.
- Demographic: Represents the viewing history of a single user.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For practicing exploratory data analysis (EDA) on structured datasets.
- Film Enthusiasts: Interested in comparing personal watchlists or exploring movie metadata.
- Machine Learning Engineers: Developing collaborative filtering or content-based recommendation systems.
Dataset Name Suggestions
- Personal IMDb Movie Watchlist & Ratings 2015-2020
- 1,000 Movies Viewing History and Metadata
- Individual User Cinema Consumption Log
Attributes
Original Data Source: Individual User Cinema Consumption Log
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