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Monthly Global TV Performance Data
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About
This data product captures the ratings for every individual episode of the TV series currently listed in the IMDb Top 250 rankings. The primary purpose of this collection is to allow detailed analysis of episodic performance within the most highly-regarded shows. It provides essential metrics for comparing episode ratings, identifying notable trends, and contrasting episode-level scores with the overall global rating for the parent series. The data is kept up-to-date through regular automatic updates.
Columns
The dataset includes 22 fields detailing episode metadata and performance metrics:
- id: Unique identifier for the TV Series' Season.
- type: Indicates the item type, consistently recorded as 'tvEpisode'.
- season: The numerical season identifier for the episode.
- episode: The episode number within its season.
- titleText: The specific title of the episode.
- releaseYear: The year the episode was initially released.
- plot: A summary description of the episode's plot.
- aggregateRating: The specific rating score given to the episode (ranging up to 10.00, with an approximate mean of 8.03).
- voteCount: The total number of votes recorded for the episode.
- canRate: A boolean value indicating if the episode is currently rateable.
- contributionUrl: A link directing to the IMDb contribution page for the specific episode.
- image.url: A link to the associated episode image or poster.
- image.maxHeight / image.maxWidth: Dimensions of the image asset.
- image.caption: The caption associated with the image.
- title: The general title of the TV series.
- series.id: The unique IMDb identifier for the parent series.
- releaseDate.month / releaseDate.day / releaseDate.year: Components breaking down the full release date.
Distribution
The data is delivered in a tabular format, typically suited for processing as a CSV file (
imdb_top_250_series_episode_ratings.csv). The file size is approximately 9.03 MB. It currently encompasses around 15,800 records. The dataset is structured with 22 distinct columns. It is expected to be updated automatically on a monthly basis.Usage
This data is ideal for various analytical purposes, including Data Visualization and Exploratory Data Analysis. Specific use cases include:
- Determining the top TV series or seasons based on mean or median episode ratings.
- Analysing trends to discover which TV series are consistently improving (e.g., by calculating the slope of their rating progression).
- Identifying the most highly-rated series endings or starting episodes.
- Calculating global statistics, such as the overall average and median episode rating, to define a "good episode" threshold.
- Studying the gap between a series' mean episode rating and its overall global rating.
Coverage
The scope is focused exclusively on episode ratings gathered from the highest-rated 250 TV series on IMDb. The release dates of the episodes collected span a significant period, with records dating back to approximately 1959 and extending to the present day. The data reflects global viewer ratings captured by the IMDb platform.
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists looking to perform time-series analysis on media engagement, developers creating media recommendation engines, researchers studying trends in television quality and viewer perception, and TV enthusiasts interested in dissecting the performance metrics of acclaimed shows.
Dataset Name Suggestions
- IMDb Top 250 TV Series Episode Ratings Archive
- Monthly Global TV Performance Data
- Acclaimed Series Episode Metrics
- IMDb Series Rating Trend Analysis
Attributes
Original Data Source: Monthly Global TV Performance Data
QUALITY