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Big Bang Theory Series Episode Analysis
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About
A detailed collection of data covering all seasons of the popular television series, The Big Bang Theory. This dataset was derived from scraping complete season data available on Wikipedia. It allows users to perform statistical analysis related to episode production and audience reception across the show’s entire timeline. The data captures the context of the series, which follows the lives of four socially awkward friends—Leonard, Sheldon, Howard, and Raj—whose lives change significantly upon meeting the beautiful and free-spirited Penny.
Columns
- No.overall: The sequential number of the episode across the entire series run.
- No. inseason: The number of the episode specific to its corresponding season.
- Title: The official title assigned to the episode.
- Directed by: The name of the director responsible for the episode.
- Written by: The credited writers of the episode, including details on story and teleplay.
- Original air date: The date when the episode was originally broadcast.
- Prod.code: The alphanumeric production code assigned to the episode.
- U.S. viewers(millions): The recorded number of US viewers, measured in millions.
- Season: The season number to which the episode belongs.
Distribution
The data is organised into 10 columns and consists of 279 valid records, ensuring coverage of every episode across all seasons. The file is provided in CSV format and has a relatively small size of approximately 54.08 kB.
Usage
This dataset is highly suitable for exploratory data analysis (EDA), data cleaning exercises, and projects involving data analytics. It can be used to analyse patterns in US viewership figures, identify the most common directors or writing teams, track the frequency of episode titles, and study how viewership changed over the show's run.
Coverage
The dataset covers the full duration of the series, spanning episode air dates from 24 September 2007 to 16 May 2019. The scope includes all seasons of the show. Geographic coverage is focused on US viewership statistics. The expected update frequency for the underlying source data is annually, though the series itself has concluded.
License
CC0: Public Domain
Who Can Use It
- Data Science Enthusiasts: For practising techniques in Python (e.g., using pandas) and performing data visualisation.
- Media and Television Researchers: To statistically analyse production credits and audience ratings for a major television franchise.
- Academics and Students: For use in coursework related to web scraping or time-series analysis of media consumption.
Dataset Name Suggestions
- The Big Bang Theory Episode Production and Viewership Data
- TBBT Complete Season Metrics
- Big Bang Theory Series Episode Analysis
Attributes
Original Data Source: Big Bang Theory Series Episode Analysis
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