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Subsets and Splits
Spotify Tracks Grouped by Name
Reveals detailed audio features and genre information for each track, highlighting any duplicates in the dataset.
Popularity Range Distribution
Displays the distribution of items across different popularity ranges, showing how many items fall into each range and their percentage of the total dataset, which can reveal trends in item popularity within the dataset.
Singer-Songwriter Tracks with Duplicates
Identifies potential duplicate entries among 'singer-songwriter' tracks based on track_id, helping to clean the dataset.
Top 20 Track Genres Frequency
Displays the top 20 most frequent track genres along with a bar chart representation of their frequencies, providing a quick overview of genre popularity.
Popular Tracks with Details
Lists popular tracks with detailed attributes like genre, key, mode, metre, and tempo, giving insight into what makes songs popular.
Classical, Rock, Country Tracks
Retrieves a limited sample of tracks from three different genres (classical, rock, country) for basic comparison.
Classical, Pop, Hip-Hop Tracks
Retrieves a limited sample of tracks from three different genres (classical, pop, hip-hop) for basic comparison.
K-POP Top Artists Tracks
Retrieves all records from the dataset where the artists are one of the specified K-pop groups, providing a basic filtered view of the data.
Singer-Songwriter Tracks and Duplicates
The query identifies all songs with the genre 'singer-songwriter' and their duplicates based on `track_id`, which provides limited insight into data duplication but not much else.
J-Pop Tracks Filter
Returns all entries from the training dataset where the track genre is 'j-pop', providing a basic filtered view of tracks in that genre.
Classical, Pop, Bluegrass Tracks
This query combines a limited set of records from three different genres, providing basic genre-specific data samples without revealing significant analytical insights.
Classical, Pop, Acoustic Tracks
The query retrieves a limited sample of tracks from three different genres (classical, pop, acoustic), providing a basic comparison but without significant analytical depth.
Classical, Pop, Country Tracks
Retrieves and combines a sample of tracks from three different genres (classical, pop, country) for basic comparison.
Filtered Tracks by Genre
Retrieves data for songs in specific genres, providing a filtered view of the dataset but offering limited insight into patterns or relationships.