Spotify daily top 200 songs with genres 2017-2021

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The dataset provides information on the daily top 200 tracks listened to by users of the Spotify digital platform around the world.

I put together this dataset because I really love music (I listen to it for several hours a day) and have not found a similar dataset with track genres on kaggle.

The dataset can be useful for beginners in the field of working with data. It contains missing values, arrays in columns, and so on, which can be great practice when conducting an EDA phase.

Soon, my example will appear here as possible, based on the specified dataset, go on a musical journey around the world and understand how the musical tastes of humanity have changed around the world)))

In addition, I will be very happy to see the work of the community on this dataset.

Also, in case of interest in data by country, I am ready to place it upon request.

You can contact me through:
**telegram @natarov_ivan**

若此数据集对您有所帮助，请于页面顶部投下您宝贵的一票👍
本数据集提供了全球 Spotify 数字平台用户每日收听的前200首热门曲目信息。
我整理此数据集，实因我对音乐情有独钟（每日聆听数小时），且在 Kaggle 上未寻得包含曲目流派的信息。
该数据集对于数据领域的新手极具价值，其中包含缺失值、列中的数组等，这些在执行数据探索（EDA）阶段时，均可作为极佳的实践。
不久，基于指定数据集的示例将在此呈现，您将得以踏上一场环游世界的音乐之旅，并洞悉人类音乐品味在全球范围内的变迁。
此外，我非常期待看到社区对此数据集的成果。
如需按国家划分的数据，我亦将根据请求提供。
您可通过以下方式联系我：
**telegram @natarov_ivan**

搜集汇总

背景与挑战

背景概述

该数据集提供了2017-2021年Spotify平台上每日排名前200的歌曲信息，包含歌曲名称、艺术家、播放量、日期和流派等字段。数据集适合初学者进行数据清洗和探索性数据分析（EDA）练习，因为其包含缺失值和数组形式的流派信息。