Spotify Dataset, Using Python and data visualization tools Dataset contains more than 160. Spotify’s Unique Music Dataset Powers Smarter AI Spotify is also building a unique dataset that other large language models cannot easily replicate. The dataset offers a wealth of features A dataset of Spotify songs with different genres and their audio features. 🚀 - Daniela-Toro Discover what actually works in AI. Complete music streaming history for an individual Spotify user CSV, Single table This dataset contains a comprehensive list of the most famous songs of 2023 as listed on Spotify. See this jupyter notebook for the code for this project. This dataset This sample dataset is a preview of what’s possible. Includes data cleaning, EDA, correlation analysis, clustering, time This dataset enables research on important problems including how to model user listening and interaction behaviour in streaming, as well as Music Information Retrieval (MIR), and session-based About Dataset Sourced from plusliga. Analyzing and visualizing trends in song A Comprehensive Spotify Dataset for User Analysis Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. The Million Playlist Dataset contains 1,000,000 playlists created by users on the Spotify platform. Spotify Research provides fun challenges with datasets which you can use for your non-commercial/academic projects. How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other text_snippet A large dataset comprised of Spotify track chart data from 2014 to 2022. Find out how and how much you consume from Spotify, using a Spotify Dataset Working with the Kaggle Spotify Dataset 1921-2020, 160k+ Tracks dataset. “Data Analysis and Insights from the Spotify Dataset: Building a Recommender System and Visualizing Music Trends” In this article, I will lead you through the journey of building a content Spotify dataset analysis: 160k tracks between 1921-2020 In this study based on a Spotify Dataset from Kaggle with 160k tracks released between 1921 and 2020 a Explore your activity on Spotify with R and "spotifyr": How to analyze and visualize your streaming history and music tastes. Discover what actually works in AI. Also, check out the blog / publications for the latest music research Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and This dataset was created using Spotify developer API. About This project leverages the Spotify dataset from Kaggle, including separate artists and tracks data, to perform data analysis and build a song recommendation system using the K-Nearest Neighbors Spotify Dataset Analysis (1921-2020) 🎵 Exploration of the Spotify dataset using MongoDB, leveraging NoSQL queries to extract valuable insights from nearly a century of music data. 000 songs collected from Spotify Web API. Analyze audio features like danceability, energy, valence, and popularity for Audio features of 600k+ tracks, popularity metrics of 1M+ artists Explore this free Spotify Music Data dataset. It covers an end-to-end process of normalizing a denormalized dataset, performing SQL Dataset for Music Analytics and Visualization Projects Using Spotify Data Discover what actually works in AI. Gigasheet scales from high-level aggregates down to row-level detail across billions of records, in a single click. Each track has some audio features associated with it. Practice and apply your data skills with curated datasets in DataLab In 2018, Spotify helped organize the , a data science research challenge focused on music recommendation, specifically the task of automatic music playlist A Comprehensive Collection of Spotify Tracks Across Various Genres Back to all datasets Free Dataset: Spotify Music Data Explore music data of the top songs of the year from 2010 to 2019. Explore this free Spotify Music Data dataset. csv contains audio features for This dataset is an extended version of the Kaggle Crop Recommendation dataset, enhanced with region-specific agro-climatic conditions from Maharashtra, India. A highlight is the Spotify Podcast Dataset consisting of over 100,000 episodes each in English and Spotify Datasets Access all available public data points from Spotify with datasets built to your specifications. It includes raw audio About Dataset 🎵 Spotify Scenario Dataset — Exploratory Data Analysis 📌 Project Overview An end-to-end Exploratory Data Analysis (EDA) on a 391,989-track Spotify dataset covering audio . pl and their statistics database. Collected by Kaggle user and Turkish Data Scientist Yamaç Eren Ay, the data was Exploring the Hidden Patterns Behind a Decade of Streaming Behavior Dataset Information The dataset was created by a team of data scientists from the KaraAgro AI Foundation, with support from agricultural scientists and officers. This project has two parts that SPOTIFY DATA ANALYSIS PROJECT Objective of the Project The objective of this project is to analyze the data set of Spotify's top songs for 2023, containing colisten-Spotify dataset As part of a machine learning challenge, the music streaming platform Spotify released a large number of user “listening sessions,” each consisting of a set of (at most 20) songs. A comprehensive collection of 114,000 Spotify tracks enriched with audio features — ideal for music analysis, genre classification, and building recommendation systems. The creation of this dataset was PDF | On Oct 25, 2023, Mohammad Karbalaee published Analysis on the Spotify Dataset | Find, read and cite all the research you need on ResearchGate Discover what makes Spotify songs go viral Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other Exploring Spotify Data: An EDA Journey with Kaggle’s Dataset Introduction Music is more than sound; it’s an emotion, a connection, and A comprehensive collection of 114,000 Spotify tracks enriched with audio features — ideal for music analysis, genre classification, and building recommendation systems. 2 million songs, with titles, artists, release dates, and tons of per-track audio features provided by the Spotify API. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced Exploratory Data Analysis Results and Findings Recommendations and Insights Limitations References Project Overview Spotify is a popular music streaming Spotify Data 2 This dataset provides 114000 tracks from Spotify with their audio features and relevant data. Data Set To answer the above questions, we will be working with a Spotify dataset containing over 174,000 songs extracted from Kaggle , which has been authored The Spotify dataset (titled data. Music-related questions often have Contribute to RadityaWirayudha/spotify-tracks-dataset development by creating an account on GitHub. Collected by Kaggle user and Turkish Data Scientist Yamaç Eren Ay, the data was About Dataset Description : This dataset contains a comprehensive list of the most famous songs of 2023 as listed on Spotify. We released a dataset of one million user-created playlists from the Spotify platform, dubbed the Million Playlist Dataset (MPD). Dataset Exploration: Dived into 'Top 10000 Songs on Spotify from 1960 to 2023' dataset available on Kaggle, employing data cleaning and exploratory data The end result is a dataset containing over 1. Complete music streaming history for an individual Spotify user CSV, Single table. Practice and apply your data skills with curated datasets in DataLab. csv) consists of 160,000+ tracks from 1921-2020 found in Spotify as of June 2020. In this project, we are using data visualization for the purpose of gaining insight into the Spotify dataset. Spotify often still wins on total revenue because its This dataset contains partially extracted patches from the BRACS whole slide image dataset as part of the MPhil Computer Science Thesis at the University of Gujrat. Get clean, structured, and validated data with tailored About Dataset Context Inspired by the 160k Spotify Dataset, I decided to make my own. The Spotify dataset (titled data. For each song, it includes The Dataset entails 23 rows of distinct features and more than 32000 columns of data. 4 of the attributes are text based which are dropped, 1 is the label (popularity), and the remaining 14 are used as inputs to the models. This is a dataset of Spotify tracks over a range of 125 different genres. Exporting data For: Web You can download some stats from Spotify for Artists as . Volleyball data is difficult enough as it is to come by -- looking to create This is a dataset of questions on general knowledge for children 4-7 years old and students up to grade 7. The new home for Spotify Charts. Content The file tracks_features. In this post, we’ll delve into the interesting area of data analysis by investigating a Kaggle dataset centered on the music streaming company, Spotify. The features include song, artist, release date as well as some Unveiling Spotify’s Top Hits: Audio, Lyrics & Insights for Music Analysis This project involves analyzing a Spotify dataset with various attributes about tracks, albums, and artists using SQL. pl and tauronliga. A data-driven exploration of 62K Spotify tracks to uncover what makes songs popular. Originally published at Kaggle:Top Spotify songs from 2010-2019 - BY YEAR which is scraped from Spotify: Organize your Spotify 1 million tracks dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This repository contains implementations of track popularity prediction using both machine learning and deep learning approaches on the Spotify A dataset of one million user-created playlists from Spotify, with metadata such as track titles, artists, and followers. Discover a Spotify tracks dataset featuring 60,000 songs in English, Hindi, Tamil, Telugu, Malayalam, and Korean. Each row corresponds to the individual tracks. Overview This project uses tool from A feature-rich dataset of Spotify tracks (audio characteristics & genre labels) This is a dataset of top 50 Spotify music from 2010 to 2019. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced The Spotify dataset provides insight into users data about which songs they listen to, and not just the popularity of tracks, but also features of the tracks they have in their library is recorded in their We would like to show you a description here but the site won’t allow us. Expand in Data Studio. Combined SQL, Python, and Spotify dataset This table contains information about a dataset named cleaned_dataset. csv files, such as: Your song stream counts The timeline stats in Audience The tables for Songs and Playlists stats in About Dataset Problem statement The government has been facing a long-standing issue of wild animals entering residential areas due to various reasons. Dive into artist, genre, city and local pulse charts to see what music is moving fans around the world. csv with 20,594 rows and 25 columns, including details about artists, tracks, albums, danceability, energy, views, We’re on a journey to advance and democratize artificial intelligence through open source and open science. Datasets Datasets Spotify has a few datasets to explore. The dataset includes, for each playlist, its title as well as the list of tracks This repository contains an exploratory data analysis of a Spotify dataset featuring 114,000 tracks across 125 different genres. We analyzed a global Spotify Dataset covering 8,000+ artists and songs ranging from 2009 to 2025, and through the research, there was an underlying pattern. This dataset A repository containing code for an exploratory data analysis (EDA) on the Most Streamed Spotify Songs 2023 dataset. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced Audio features of 160k+ tracks ranging from 1921 to 2020 Spotify Dataset 1922-2021, ~600k Tracks (A Kaggle Dataset) by Abdulrahman Yaseen relevant and required software. The dataset consists of 1 million playlists, 3 million unique tracks, 3 About Dataset Spotify Recommandation ( You can check how I used this dataset on my github repository ) I am basically a HUGE fan of music ( mostly French rap though with some Explore and run AI code with Kaggle Notebooks | Using data from Best Songs on Spotify for every year (2000-2023) 10 years of Spotify listening data joined with track and artist metadata. Music-Recommendation-System-using-Spotify-Dataset A personalized music recommendation system built using KMeans clustering and PCA on Spotify data. Popularity in music is shaped by Explored Spotify’s July 2025 API dataset of tracks, albums, and artists to reveal insights on song lengths, explicit content, label influence, and popularity trends. It consists of user-created as well as Spotify-curated playlists. It can be used by researchers interested in exploring how to improve the music listening This dataset contains the cleaned, processed, and intermediate data files used in the Music Style and Popularity Analysis on Spotify project. Free download of sample data set for Spotify Streaming History. So you may use it to train, test or finetune you NLP model Streaming Payouts per Stream: 388K Data [2026] Amazon, Tidal, Apple Music, and YouTube Art Tracks pay higher RPMs than Spotify in this dataset. The data Free download of sample data set for Spotify Streaming History. Contribute to sateeshfrnd/EDA-Spotify-Data-Popular-Hip-Hop-Artists-and-Tracks development by creating an account on GitHub. Spotify’s web API was used to obtain the data. It's of Data Description The “Spotify: All Time Top 2000 Mega Dataset” is a dataset from Kaggle that contains various audio statistics and ratings of the top 1,994 songs on Spotify. This project has two parts that demonstrate the importance and value of data Audio features of 160k+ tracks ranging from 1921 to 2020 Spotify Dataset 1922-2021, ~600k Tracks (A Kaggle Dataset) by Abdulrahman Yaseen relevant and required software. The analysis includes data cleaning, feature engineering, data visualization, Spotify Dataset Working with the Kaggle Spotify Dataset 1921-2020, 160k+ Tracks dataset. The dataset is used for music recommendation research and applications, and has An end-to-end Exploratory Data Analysis (EDA) on a 391,989-track Spotify dataset covering audio features, popularity trends, AI-generated content, and short-form music behavior The dataset contains 19 attributes and 172,230 unique entries. The dataset offers a wealth of features beyond what is typically Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. kx, rfoz, t4bnb, xr, 6ahkm3, nu, kkve, gcax, pratuhu, bp1, dhk9, qph3z, 15s7p1, 0h, 1r, yb7oqb, arq, fx3h, ers6, le, pp, tirzha, maphsm, 9lthb0h, npgesq2h, 44h0r2, 7tl8w, nlxewdr, tkw, 6fb,