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Lata Mangeshkar Spotify Audio Feature Analytics
Data Science and Analytics
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About
A detailed collection of metrics and lyrical content for songs by Lata Mangeshkar, the popular Indian playback singer often referred to as the Nightingale of India. The data offers specific audio characteristics derived from Spotify, including measures of acousticness, energy, danceability, and valence for 176 tracks, alongside metadata such as album and release date. This collection is crucial for studies focused on musicology, cultural data analysis, and the characteristics defining one of India's most influential singing careers.
Columns
- Id: A unique value assigned to identify each individual song.
- Name: The title of the song.
- Album: The name of the recorded album.
- Release Date: The date the song was released.
- Length (ms): The duration of the song, stated in milliseconds.
- Acousticness: A score reflecting the likelihood of the song being acoustic (a score of 1.0 indicates a high probability of being acoustic).
- Danceability: A measure of how suitable the track is for dancing, based on musical elements like tempo stability and beat strength.
- Energy: Represents the intensity and sense of forward motion in the music, which keeps listeners engaged.
- Instrumentalness: An indicator of the amount of vocals in the track (closer to 1.0 means fewer vocals).
- Valence: Describes the musical positiveness conveyed; high scores suggest cheerful or happy tones.
- Liveness: The calculated probability that the recording captured a live audience (a value exceeding 0.8 strongly suggests a live track).
- Loudness: A standard measure of the audio levels.
- Speechiness: Detects the presence of spoken words. Scores below 0.33 typically mean the song lacks speech, while higher scores indicate a mixture of music and words, or purely spoken content.
- Tempo: The speed of the music, generally measured in beats per minute.
- Time Signature: Defines the structure of the musical measure, indicating the number of counts per measure.
- Popularity: A metric describing the song's current popularity.
- Lyrics: The full lyrical text associated with the song.
Distribution
This dataset is presented in a tabular structure, often distributed as a CSV file (
lata_mangeshkar_songs.csv). The file size is 196.73 kB and contains 17 columns and 176 records. The data quality is high, with the sample showing zero missing values across all 17 attributes.Usage
This data is highly suitable for several applications, including:
- Quantitative music analysis focusing on Spotify audio features.
- Research in linguistics and Natural Language Processing (NLP) using the provided lyrics.
- Comparative musicology studies examining the characteristics of playback singing.
- Developing machine learning models to predict song popularity or genre based on audio metrics.
Coverage
The scope of this collection covers the song metrics and lyrics associated with Lata Mangeshkar’s Spotify presence. The recordings span a wide time period, with release dates observed from the 1960s up to the 2010s. The material is focused on songs recorded by a single, influential Indian artist. The data collection is static and is not subject to future updates.
License
CC0: Public Domain
Who Can Use It
- Music Researchers: For detailed analysis of vocal and musical composition traits.
- Data Scientists: Interested in applying metrics analysis to cultural media and audio features.
- Linguists: For language studies based on film and popular song lyrics.
- Cultural Historians: Seeking quantitative insight into a lengthy and significant career in the Indian music industry.
Dataset Name Suggestions
- Lata Mangeshkar Spotify Audio Feature Analytics
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- Indian Music Playback Data and Lyrics
- Lata Mangeshkar 176 Song Catalogue
Attributes
Original Data Source:Lata Mangeshkar Spotify Audio Feature Analytics
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