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Chuck Lorres Big Bang Data
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About
This dataset offers a detailed collection of information regarding "The Big Bang Theory" television series, created by Chuck Lorre and Bill Prady. It encompasses all 12 seasons and 279 episodes, which originally aired from 24 September 2007 to 16 May 2019. The dataset's purpose is to provide rich context and specific details about each episode, including critical metrics such as US viewership figures. It is particularly valuable for analysing the show's performance and trends over its broadcast history, enabling comparisons of elements like US viewers against other episode attributes.
Columns
- season: Represents the season number in which the episode originally aired, ranging from 1 to 12.
- episode_num_in_season: Indicates the numerical order of the episode within its specific season, with values from 1 to 24.
- episode_num_overall: Provides the unique number for each episode across the entire series, from 1 to 279.
- title: The distinct title given to each individual episode (279 unique titles).
- directed_by: Specifies the director(s) credited for the episode. Mark Cendrowski is the most frequent director, accounting for 87% of episodes, with a total of 11 unique directors.
- written_by: Details the writers, including both "Story by" and "Teleplay by" credits. There are 258 unique combinations of writing credits.
- original_air_date: The precise date on which the episode was first broadcast. Dates range from 24 September 2007 to 16 May 2019.
- prod_code: The unique production code assigned to each episode (279 unique codes).
- us_viewers: The recorded number of US viewers who watched the episode on its original air date. Figures range from 7.34 million to 20.4 million, with an average of 14.6 million viewers.
Distribution
The dataset is provided in a tabular format, typically a CSV file (e.g.,
big_bang_theory_episodes.csv), and is approximately 51.76 kB in size. It consists of 9 columns and contains 279 individual records, each corresponding to an episode of "The Big Bang Theory."Usage
This dataset is ideal for various analytical applications and use cases. It can be used to join with other datasets (e.g., IMDb ratings) on 'Title' and 'Original Air Date' fields for correlation studies. Researchers and fans can analyse viewership patterns across seasons, evaluate the impact of different directors and writers on episode performance, track the chronological progression of the series, and identify peak viewership periods.
Coverage
The dataset covers "The Big Bang Theory" television series across its full run from 24 September 2007 to 16 May 2019. It includes details for all 12 seasons and 279 episodes. Geographic coverage for viewership data is specific to the United States. No particular demographic scope beyond "US viewers" is specified.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide array of users, including data enthusiasts and beginners seeking to explore TV show data, fans of "The Big Bang Theory" interested in deeper insights into their favourite show, data analysts studying television industry trends, and content creators looking for data-driven inspiration. It is particularly useful for those interested in episode analytics, audience engagement, and the creative contributions behind a successful sitcom.
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Attributes
Original Data Source: Chuck Lorres Big Bang Data
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