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Chalchitra Talks Guest Literary Selections
Data Science and Analytics
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About
This collection features exceptional book recommendations offered by famous personalities who appear on Chalchitra Talks. The data set is designed as a central reference point for various media suggestions, including books, movies, and podcasts. Guests providing these recommendations are diverse, including comedians such as Rohan Joshi and Ashish Shakya, actors like Ratna Pathak Shah and Gulshan Deviah, and respected filmmakers including Peter Gould. The data includes scraped information about the guests and detailed metadata about the suggested books sourced from Google Books.
Columns
The data is structured across three primary files:
guests.csv, books.csv, and recommendation.csv.In
books.csv (13 columns):- book_id: A unique identifier for each book.
- book_name: The name or title of the book.
- book_description: The description of the book specifically provided by chalchitra.com.
- authors: A list detailing the authors of the book.
- publisher: The name of the publishing house.
- publishedDate: The date the book was released.
- pageCount: The number of pages in the book.
- categories: The category or genre of the book, where 'Fiction' is the most common classification (32% of records).
- averageRating: The mean rating score aggregated from Google Books.
- ratingsCount: The total count of ratings recorded for the book.
- language: The language in which the book is written; English ('en') accounts for 97% of entries.
- description: The description of the book obtained from Google Books.
- synopsis: The synopsis of the book also acquired from Google Books.
Other files include:
- guests.csv: Contains identifiers, names, professions, and URLs for the featured guests.
- recommendation.csv: A mapping file that connects
guest_idtobook_idto link recommendations to their sources.
Distribution (Detail the dataset's format, size, and structure. If specific numbers for rows/records are not available, mention this.)
The product is provided as structured data, typically in CSV format, distributed across the three interconnected files (
books.csv, guests.csv, and recommendation.csv). The core file, books.csv, contains 319 valid records and 13 attributes. Updates to this collection are expected to occur monthly.Usage
This data is excellent input for developing advanced content recommendation engines. It can be used by analysts to perform trend analysis on literary tastes among prominent media personalities. Researchers studying cultural influence and consumption patterns can leverage the reading lists. It is also suitable for data visualisation projects focused on popular culture reading habits.
Coverage
The collection covers book recommendations derived from guests featured on the Chalchitra Talks platform, encompassing diverse professions like acting, comedy, and filmmaking. The content spans various publication dates and genres. While multilingual books are present, English is overwhelmingly the dominant language represented in the book list, making up 97% of the data. The category 'Fiction' is the single most frequent classification for the books included.
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists and analysts who are focused on building and training machine learning algorithms for recommendation systems. Content marketers and media strategists can utilise the information to understand cultural references and influential reading material. Academic researchers studying media personalities and public cultural consumption will find this data valuable.
Dataset Name Suggestions
- Chalchitra Talks Guest Literary Selections
- Media Personality Book Recommendations
- Famous Figures Reading List Data
- Authoritative Book Recommendation Mapping
Attributes
Original Data Source: Chalchitra Talks Guest Literary Selections
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