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IMDB Top TV Series Data
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About
This collection presents the top 2000 television series as ranked by the number of votes received on IMDb. It offers a detailed view into popular TV productions, providing insights into their reception, cast, and thematic content. The data was gathered by scraping the IMDb site, making it a valuable resource for understanding audience preferences and industry trends in television. It is designed to facilitate various analyses, from exploring the impact of directors and stars on ratings and votes to identifying actor-genre preferences and successful cast combinations.
Columns
- Poster_Link: A direct link to the series' poster image as used by IMDb.
- Series_Title: The official name of the television series.
- Runtime_of_Series: Indicates the span of years during which the series aired, from its start to its end.
- Certificate: The age or content rating certificate awarded to the series.
- Runtime_of_Episodes: The typical duration of individual episodes within the series, usually in minutes.
- Genre: Categorises the series by its thematic and narrative style, such as Comedy or Crime, Drama, Mystery.
- IMDBRating: The average rating given to the series by IMDb users.
- Overview: A concise summary or mini-story of the series' plot or premise.
- Star1, Star2, Star3, Star4: The names of up to four primary actors or stars featured in the series.
- No_of_votes: The total count of votes the series has received on IMDb.
Distribution
The dataset is structured as a CSV file, named
series_data.csv, with a size of approximately 821.63 kB. It comprises 2000 individual records or rows, each detailing a unique television series. There are 13 distinct columns, each providing specific attributes for the series.Usage
This dataset is ideal for various analytical pursuits, including:
- Investigating the relationship between IMDb ratings and the directors involved in a series.
- Analysing how different stars influence both IMDb ratings and the total number of votes.
- Determining which genres specific actors tend to favour or are most associated with.
- Identifying combinations of actors that frequently lead to higher IMDb ratings.
- Studying trends in television series popularity and audience engagement.
Coverage
The dataset focuses on the top 2000 television series as determined by vote count on IMDb. While primarily covering series released in recent years (e.g., 2019 onwards, 2020 onwards), it also includes a significant portion (92%) of series from earlier periods, going back to 1845. This broad timeframe offers a historical perspective on television popularity. The data reflects global series available on the IMDb platform, without specific geographic or demographic segmentation noted beyond its presence on IMDb.
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: For statistical analysis, predictive modelling, and pattern recognition related to TV series performance.
- Entertainment Researchers: To study audience preferences, industry trends, and the impact of creative talent in television.
- Media Professionals: For market research, content strategy, and understanding competitive landscapes in streaming and broadcast.
- Fans of Television: To explore information about their favourite series, discover new content, and delve into the data behind popular shows.
Dataset Name Suggestions
- IMDB Top TV Series Data
- Global Television Series Popularity
- Top Voted IMDb Series
- IMDb Series Ratings and Cast
- Television Series Performance Metrics
Attributes
Original Data Source: IMDB Top TV Series Data
QUALITY