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Top 100 Russian Songs Analysis Data
Data Science and Analytics
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About
A snapshot of the daily hit chart from Yandex Music, this data captures the top 100 tracks as of 21 September 2023. It contains information on each song's chart position, genre, artist popularity, and engagement metrics. The dataset is useful for analysing music trends, artist popularity, and the characteristics of commercially successful tracks within the Russian music market.
Columns
- name: The title of the track.
- track_len: The duration of the track in a minutes:seconds format.
- link: A URL to the track on the Yandex.Music website.
- genre: The musical genre of the track, with "русский рэп" (Russian rap) being the most common genre.
- artist(s): The name of the artist or artists featured on the track.
- chart: The track's position within the top 100 chart.
- Explicit_content: An indicator showing if the track contains explicit content (1 for present, 0 for not present).
- monthly_listens_total: The total number of monthly listens for the performer(s).
- artists_likes_total: The total number of likes for the track's artist(s).
Distribution
- Format: The data is provided as a single CSV file named
yandex_tracks_top100.csv. - Size: The file is approximately 15.04 kB.
- Structure: The dataset is structured with 100 records, one for each track, and contains 9 columns.
Usage
This data is suitable for a variety of analytical tasks. Ideal applications include:
- Genre Analysis: Investigating which genres dominate the charts and attract the most listens and likes.
- Artist Popularity Analysis: Identifying top artists and analysing the correlation between their popularity and track performance.
- Content Impact Study: Evaluating how the presence of explicit content influences a track's engagement metrics.
- Predictive Modelling: Building models to forecast a track's potential popularity based on its attributes.
- Data Visualisation: Creating graphs and charts to illustrate trends in the music industry.
Coverage
- Geographic: The data primarily reflects music trends in Russia, as it is sourced from Yandex Music.
- Time Range: The dataset is a point-in-time snapshot from a single day: 21 September 2023. It is not expected to be updated.
License
CC BY-NC-SA 4.0
Who Can Use It
- Data Analysts: To perform correlation analysis between track duration, genre, and popularity metrics.
- Music Journalists and Researchers: To report on current music trends and artist popularity in the Russian market.
- Marketing Professionals: To understand listener preferences and the factors contributing to a song's success.
- Students: To practise data analysis, visualisation, and predictive modelling on a real-world dataset.
Dataset Name Suggestions
- Yandex Music Top 100 Chart - September 2023
- Russian Music Chart Snapshot
- Yandex Daily Hits & Artist Metrics
- Top 100 Russian Songs Analysis Data
Attributes
Original Data Source: Top 100 Russian Songs Analysis Data
QUALITY