FROM BEATS TO TRENDS: A VARIABLE-BASED STUDY OF SPOTIFY’S TOP 100

Abstract

ÖZ This study analyzes current music trends by examining songs featured in Spotify’s Global Top 100 weekly charts throughout 2021 using a data-driven approach. Descriptive data analysis was employed to identify and examine musical characteristics associated with patterns of chart presence and chart longevity on digital music platforms. The research data consist of 5,200 chart entries corresponding to 602 unique songs obtained from the weekly Global Top 100 charts published between January 1, 2021, and January 1, 2022. The analysis focuses on key musical variables such as genre, tonality, tempo (BPM), and song duration. Genre and song duration data were obtained from publicly available song metadata, while tonality and tempo analyses were conducted using Logic Pro X version 10.6. The findings show that Pop, Hip-Hop, and Reggaeton were the most prominent genres in the charts, accounting for a substantial proportion of total chart entries. In addition, certain musical characteristics such as minor tonalities, specific tempo ranges, and song durations appeared to be associated with greater chart longevity. By focusing on musical parameters, the study provides a descriptive perspective on popularity patterns in digital music charts and may offer useful insights for music production and music education.

Keywords

• Music
• Spotify
• digital music platforms
• music charts
• musical trends

RİTİMLERDEN TRENDLERE:: SPOTİFY TOP 100 LİSTESİNİN VERİ TABANLI İNCELEMESİ

Abstract

ÖZ Bu çalışma 2021 yılı boyunca Spotify Global Top 100 haftalık listelerinde yer alan şarkıları veri temelli bir yaklaşımla inceleyerek güncel müzik trendlerini analiz etmektedir. Çalışmada dijital müzik platformlarında listeye giriş ve listede kalıcılıkla ilişkili müziksel özellikleri belirlemek ve incelemek amacıyla betimsel veri analizi yöntemi kullanılmıştır. Araştırma verileri 1 Ocak 2021 ile 1 Ocak 2022 tarihleri arasında yayımlanan haftalık Global Top 100 listelerinden elde edilen ve 602 farklı şarkıya karşılık gelen toplam 5.200 liste girişinden oluşmaktadır. Analiz kapsamında janr, tonalite, tempo (BPM) ve şarkı süresi gibi temel müziksel değişkenler ele alınmıştır. Janr ve şarkı süre bilgileri şarkıların künye verilerinden elde edilirken, tonalite ve tempo analizleri Logic Pro X 10.6 yazılımı kullanılarak gerçekleştirilmiştir. Bulgular Pop, Hip-Hop ve Reggaeton janrlarının listelerde en belirgin türler olarak öne çıktığını ve toplam liste girişlerinin büyük bir bölümünü oluşturduğunu göstermektedir. Bunun yanı sıra minör tonaliteler, belirli tempo aralıkları ve şarkı süreleri gibi bazı müziksel özelliklerin listede daha uzun süre yer alma eğilimiyle ilişkili göründüğü söylenebilir. Bu çalışma müziksel parametreleri önceliklendirerek dijital müzik listelerindeki popülerlik dinamiklerine veri temelli bir perspektif sunmakta ve müzik üretimi ile müzik eğitimi alanlarına yönelik pratik çıkarımlar önermektedir.

Keywords

• Müzik
• Spotify
• dijital müzik platformları
• müzik listeleri
• müzikal trendler

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