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Global Artist Success Metrics
Data Science and Analytics
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About
This dataset offers a unique compilation of information about prominent musicians, detailing their awards, rankings, and financial success. It brings together data lovingly collected from Wikipedia, Billboard, and Rolling Stone, providing an insightful look into the careers and earnings of music's elite. The compilation includes specific datasets such as the "best artists_RS" from Rolling Stone, which covers artists' Grammy awards and nominations. Additionally, there are lists of albums and artists winning the "Best Album" and "Best Record" Grammy nominations annually. For financial insights, the "money-makers-bb" dataset, sourced from Billboard, outlines the top 40 artists by music income, segmented into sales, streaming, touring, and publishing. The "richest musicians by year" data, scraped from Wikipedia, further expands on total income, encompassing sources beyond music, such as commercials and brands.
Columns
- Rolling Stone Magazine Rank: The ranking of artists as determined by Rolling Stone Magazine.
- Artist: The name of the musician or group.
- Racial/Ethnic group: Categorisation of the artist's racial or ethnic background.
- Main Grammy awards: The number of main Grammy Awards received by the artist.
- Main Grammy Nominations: The total number of main Grammy Award nominations received.
- Total Awards: The overall sum of awards received by the artist.
- Total Nominations: The overall sum of nominations received by the artist.
- UK number 1's: The count of times an artist achieved a number one hit in the UK charts.
Distribution
The primary data file,
best artists_RS.csv, is provided in CSV format and has a size of 4.38 KB. This specific file contains 8 columns and 100 records, with all entries being valid. While specific row/record counts for the other sub-datasets within this compilation are not explicitly stated, data files are typically in CSV format.Usage
This dataset is ideal for:
- Analysing trends in music awards and artist recognition.
- Investigating the financial success and income streams of musicians.
- Exploring the diversity of artists in the music industry.
- Studying the correlation between awards, rankings, and commercial success.
- Conducting historical analysis of musical achievements and wealth.
Coverage
The dataset's coverage is global, drawing from internationally recognised sources like Billboard, Rolling Stone, and Wikipedia. It includes specific geographical data for UK chart performance. While a precise time range for the entire compilation is not detailed, the inclusion of "richest musicians by year" and annual Grammy lists indicates a temporal scope over several years. Demographic scope is covered through the inclusion of racial/ethnic group information for artists.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Music Researchers: To conduct academic studies on music history, artist success, and industry trends.
- Data Analysts: For statistical analysis and data visualisation projects related to music.
- Journalists: To inform articles and reports on famous musicians, their achievements, and financial standing.
- Industry Professionals: To gain insights into artist performance, market trends, and talent management.
- Music Enthusiasts: For personal exploration and understanding of their favourite artists' careers.
Dataset Name Suggestions
- Music Elite: Awards and Earnings
- Global Artist Success Metrics
- Grammy, Billboard, and RS Artists
- Musician Achievement and Wealth Data
- Top Artists: Awards and Income
Attributes
Original Data Source: Global Artist Success Metrics
QUALITY