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Episode-Level Ratings for IMDb Top TV Shows
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About
Explore the episode-by-episode ratings of the top 250 TV series listed on IMDb. This data, collected in September 2022, allows for a detailed analysis of how individual episodes perform within critically acclaimed shows. It facilitates comparisons between different series, seasons, and even specific episodes, enabling users to uncover trends in television ratings, such as identifying the strongest series debuts, finales, or shows that improve over time.
Columns
- Index: The numerical index for each record.
- Season: The season number to which the episode belongs.
- Episode: The episode number within its season.
- Rating: The IMDb rating value for the episode.
- Code: The unique IMDb URL tag code for each series.
- Title: The title of the TV series.
Distribution
The dataset is available in a tabular format as a CSV file named
imdb_top_250_series_episode_ratings.csv, with a file size of 557.22 kB. It contains approximately 15,100 valid records across six columns.Usage
This dataset is ideal for data visualisation and exploratory data analysis. Potential applications include:
- Identifying the top-rated TV series based on mean or median episode ratings.
- Determining which TV seasons have the highest average ratings.
- Analysing which series have the most highly-rated first or last episodes.
- Investigating which shows demonstrate a continuous improvement in ratings over their run.
- Discovering which series have the highest number of "good episodes" above the global average.
- Comparing a series' overall global rating with its average episode rating to find discrepancies.
Coverage
The data covers the top 250 TV series as listed on IMDb. The specific ratings were collected in September 2022. While it covers a wide range of internationally recognised television shows, the scope is limited to those included in the IMDb top 250 list at that specific point in time.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: Can perform exploratory analysis to uncover trends in television ratings and audience reception over time.
- Data Scientists: Can build models to predict episode ratings or identify factors that contribute to a show's critical success.
- Students and Beginners: Can use this clean, tabular dataset for projects related to data visualisation and basic statistical analysis.
- TV Enthusiasts and Critics: Can use the data to support articles, blog posts, or discussions about the quality and consistency of popular TV shows.
Dataset Name Suggestions
- IMDb Top 250 TV Series Episode Ratings
- Episode-Level Ratings for IMDb Top TV Shows
- IMDb Top 250 Series: A Ratings Breakdown
- Ratings Analysis of Top IMDb TV Series Episodes
Attributes
Original Data Source: Episode-Level Ratings for IMDb Top TV Shows
QUALITY