Top 50 spotify dataset 7334; Linear Vector Machine: 0. Detailed Song Analysis of the top songs 2022 using Spotify API and a Kaggle dataset. This article is the first in a four-part series of articles showcasing our work building a music recommendation system, using Spotify’s million playlist dataset [1]. csv is a dataset found online (Kaggle. 1K saves. July 2021. SVM The reason for the restriction. The Jupyter Notebook spotify_top50_analysis. - GitHub - pragyy/Spotify-Dataset-Analysis: The dataset consists of top 50 songs listened by the world in the year 2019. RF-87. Contribute to anyren/spotify-top-50 development by creating an account on GitHub. Select best one as per your choice. com - kelvingakuo/fycharts The dataset for this project contains a comprehensive list of the most famous songs of 2023 as listed on Spotify. 48. spotify. Kaggle uses cookies from Google to deliver and enhance the This repository contains an exploratory data analysis of a Spotify dataset featuring 114,000 tracks across 125 different genres. Speak Your Mind (From the Netflix Series "We The People") 0. ; Additional reasons may be added in the future. By December 2023, Data Akuisisi: Seperti di artikel pertama saya, Spotify melalui halaman Spotifychart secara harian dan mingguan mengeluarkan “Top 200” chart bedasarkan regional global Taking second place was reggaeton superstar Bad Bunny, who also had a standout year with a new album, nadie sabe lo que va a pasar mañana. Manage code changes To answer these questions, we made use of the Million Song Dataset provided by Columbia, Spotify’s API, and machine learning prediction models. PLEASE! Read our rules and Community WIKI before attempting to post. OK, Your music, your stats, your story. August 2021. com) that contains information about the 50 most popular songs on Spotify in 2019. features and popularity of songs streamed on Spotify*. 47 . We present a model that can predict how likely a song will be a hit, Spotify Top 50 Artist Data Visualization Background and Overview The goal of this project is to create a visual representation of the current top 50 artists on Spotify, and show a graphical relationship between top artists, and their respective genre of music and a statistical breakdown of the top tracks of a given top artist. Via exploratory data analysis, we investigate the popularity, rarity, and Playlist · Top 50 - Brazil · 50 items · 3. 59,82. June 2021. Songs. Sign up to get unlimited songs and podcasts with occasional ads. Rounding up the top Click on a mark on the top half of the Danceability chart to see the songs that move you. So it's reasonable that most of the tracks have a popularity of zero, and zero tracks have a popularity spotify_queries. Note: If you use this field, make sure that your Spotify dataset. Other (128873) 20% Write better code with AI Code review. Dive into artist, genre, city and local pulse charts to see what music is moving fans around the world. Python is the most used language in top companies such as Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify, and many more because of its robust performance and powerful libraries. I am trying to parse html code of page and trying to get song's artist, The "Top 50-Global" playlist should be updated daily and stores the daily top songs. Then, we create a new dataset that contains only the numerical variables (e. This article details the The new home for Spotify Charts. The analysis includes exploratory data analysis to understand music trends and success patterns Explore and run machine learning code with Kaggle Notebooks | Using data from Top 50 Spotify Songs - 2019. Every song that debuted on Spotify's Top 50 Weekly (Global) charts between January and August, 2022 is captured in the compiled dataset. Pos P+ Artist and Title Days Pk (x?) Streams Streams+ 7Day 7Day+ Total; 1 = Spotify’s dataset of top streamed songs and artists. February 2021. It can be used to analyze trends in music popularity across different countries and track changes in rankings over time. 6M saves I used the Spotify Web API to pull the top songs from my personal account. We are encouraging learners to think about interesting questions about the data they have. In the realm of music streaming, Spotify stands out as one of the leading platforms with a vast amount of user data []. Implementation Flow chart After an extensive search for quality data, we choose the World's most popular songs on Spotify, updated daily. Each year got top 100 songs. Top songs aren’t always loud. This dataset en- Playlist · Spotify · 50 items · 3. Create your first playlist It's easy, we'll help you. To get into these As Spotify has over 50 Million songs, the possibilities to create large datasets are endless. OK, Got it. Top 50 songs of each country in Spotify - Updated May 2020. Learn Uji berasal dari hasil code dataset Global Top 50 pada Google Colaboratory, sementara analisis berasal dari analisa uji pengamatan d) Simpulan Simpulan berasal dari gagasan pembahasan klasifikasi Global Top 50 Pada Spotify telah memiliki beberapa fitur musik gratis dan memiliki pengklasifisian penulis lagu yang berdasarkan genre musik. For example, we may share your cookie data Amazon Top 50 Bestselling Books 2009 - 2019 Dataset. This is a Jupyter Notebook which analyzes the "Top 50 Spotify Tracks - 2020" dataset from Kaggle. For each song, it includes information such as the Title, Artist, Top Genre, Year of . Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. ipynb is the working file of the analysis, which is structured as follows: Context and task description; Initial exploration and basic data cleaning; Analysis of data question-by-question; Some key takeaways and further analysis suggestions in the end. 000 songs collected from Spotify Web API. csv” file contains more than 160. 193,943 The popularity is right skewed as the popularity is calculated on the total number of plays the track has had and how recent those plays are. Daily data pull of official Spotify Top 50 of 63 countries + Global. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. - hgoyal254/SPOTIFY-AUTOMATION-USING-RECOMMENDER-SYSTEM-DATASET My project aims to analyze the results obtained and linked to the TOP 50 musical pieces on the SPOTIFY platform for the year 2019. - Dipsonn/Top-Spotify-Songs-in-73-Countries-Dataset Playlist · Country Top 50 · 50 items · 1. (2022). March 2021. Bayes- 83. Pos P+ Artist and Title Days Pk (x?) Streams Streams+ 7Day 7Day+ 50-6: Sabrina Carpenter - Please Please Please. Help our community be its best! Report rule violations to mods. Other (315486) 48% [null] 80%. I want to scrape daily top 200 songs from Spotify charts website. This dataset contains artist data for ~20k artists whose songs made it to the Spotify weekly charts and ~136k additional artists who had at least one feature with at least one of the chart artists. Forestry Planting Spaces Dataset. Our dataset, meticulously curated from A website that collects and analyzes music data from around the world. Primary: id (Id of track generated by Spotify) Numerical: acousticness (Ranges from 0 to 1) danceability (Ranges from 0 to 1) Spotify Top Songs Analaysis - SQL: In this project, I used a dataset found on Kaggle to analyze trends in the top 50 songs of 2021. Top 50 songs listened in 2021 in Spotify. All of the charts, sales and streams, constantly updated. Click on the marks in the bottom half of the Loudness chart to find the tracks that were subtle, but effective. The data set provides the 50 most listened to songs on Spotify in 2019. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers. These songs cover The aim of exploratory data analysis is to obtain important insights from the dataset. S. chevron_right. e. As an avid music enthusiast, Spotify has been my loyal companion through every adventure and study session. In the domain of music, there are so many Spotify is the worlds largest audio streaming application with services available in more than 175 countries. After reading in the full dataset and the playlist dataset, This notebook goes through some of the exploratory data analysis of the Kaggle Spotify dataset with Python. SELECT AVG(loudness) About Exploratory Data Analysis on "Top Songs of Spotify" between 2010-2022. Playlist · Spotify · 50 items · 619K saves. You can also save your top tracks to your Spotify account in a new playlist. data: Csv-files with Spotify playlists (See sources below) Top Spotify Tracks of 2017; Top Spotify Tracks of 2018; Spotify Dataset 1921-2020, 160k+ Tracks; Datasets top50 2017; Datasets top50 2018; Top 50 Klasifikasi menggunakandataset lagu pop terpopuler yang dianalisis menggunakan metode K-Means untukmengetahui top genre serta memakai dataset yang berasal dari Website Kaggle. Daddy Yankee 1%. Flexible Data Ingestion. It includes attributes such as song features, popularity, artists, and release dates. Explore and run machine learning code with Kaggle Notebooks | Using data from Top 100 Most Streamed Songs on Spotify. , 2022). UFO Sightings Dataset. A popular Python library for the Spotify Web API is called Spotipy. L. Penulis melakukan cluster analisis tentang lagu Global Top 50 yang disediakan oleh Spotify dengan beberapa delapan atribut, termasuk danceability, energy, accousticness, instrumentalness, liveness Spotify Top 50 Playlist Songs (World, USA, UK, Spain, Mexico and others) Spotify Top 50 Playlist Songs (World, USA, UK, Spain, Mexico and others) Kaggle uses cookies from Google to deliver and enhance the quality of its How do songs' lyrics, rythm and other features influence their success? The purpose of this report is to discuss the findings of the Spotify’s 2019 top 50 songs data set using a preliminary exploratory data analysis (EDA) approach. Using pitch-class integer notation, I examined the key and tonality for these top songs. It provides insights into each Web API. Aim: To Analyze Genre with rest of the data on Top 50 Spotify Songs – 2019 - GitHub - Gau A website that collects and analyzes music data from around the world. 27th Apr 2021 Update - fycharts returns empty dataframes due to CloudFlare protection on spotifycharts. ; product - The content item is not available for the user's subscription type. 7641; Random Forest: The Spotify dataset [10] consists of over 600,000 songs, which were extracted from the Spotify Web API. On top, you’ll be able to retrieve the data very quickly, once you’ve set up the basics. 44 Since the Spotify Top 50 playlist is organized so that the position on the playlist corresponds to the song’s current rank, it not only made sense for this dataset, but was necessary to ensure I Playlist · Top 50 - Global · 50 items · 17. fullscreen. com Rishabh Mehrotra Spotify Research, London rishabhm@spotify. A key aspect of Spotify is that it provides access to music on-demand to a worldwide level. This dataset has 14 descriptive variables about the songs. The purpose of the notebook is to explore and visualize the data to gain insights into the characteristics of the top 50 tracks on Spotify in 2020. Top 50 songs most popular by country at xmas. How Many People Work at Spotify? Spotify Stats (Top Picks) Spotify has 626 million monthly active users, including 246 paying subscribers. Something went wrong Objective of the Project. For years, Drake led the pack, becoming the first artist to achieve 30 billion streams in April 2020, followed by 40 billion in August 2021 and 50 billion in September 2022. This table contains information about a dataset named cleaned_dataset. /data/top50. 4M saves Songs melodic and meta data of every Top-50 playlist of Spotify. README. csv (157. Spotify top artists by monthly listeners Statistics since March 1st 2023. This dataset (from Kaggle) has various variables regarding these songs. In most of the studies we found that researchers used Kaggle dataset and while others scrapped Spotify website to curate their own Top 50 . csv: The dataset of the top 50 Spotify songs in 2021. , & Kartika, D. Get any and all data for top 200 and viral 50 music on Spotify. Look through the printable ‘Top 20’ or ‘Top 50’ Spotify songs on the ‘Spotify Analysis’ Top 50 songs listened in 2021 in Spotify. Learn more. Nourishing Choices: A Comprehensive Dataset of the 100 Healthiest Foods. Something went wrong and this page crashed! If the issue persists, it's likely a This is a dataset of top 50 Spotify music from 2010 to 2019. Playlist · Spotify · 50 items · 94. Contribute to amymartika/SQL-portfolio development by creating an account on GitHub. After cleaning the data, it contains 14 columns and 603 rows of data. Top 50 Indian Singers with their most rated songs and features. Here, l Hottest Spotify Hits Exploratory Data Analysis. Your Library. 10 of 20 columns. See the previous and following The Music Streaming Sessions Dataset Brian Brost Spotify Research, London brianbrost@spotify. Learn Discover Daily-updated Spotify Global Top 50 -World's Most Popular Songs Dataset Discover Daily-updated Spotify Global Top 50 -World's Most Popular Songs Dataset. New Spotify datasets can be downloaded from Kaggle, however please be aware song titles are typically not censored and songs are often not Exploring the dataset (suitable for home) This step is focused on the “Problem” step of PPDAC. This is below the 33 number that Spotify says most songs should be under. g, removing the track name, artist, and the genre). Further, information on the occurrence of Analysis on top songs in the years 2017, 2018, and 2019; Comparison top songs from 2017, 2018 and 2019, Analysis of top songs artists. top 50 tracks listened on spotify in 2020. Something went wrong and this page crashed! If the Exploratory Data Analysis and Classification Model for Top 50 Spotify Songs in 2019 Dataset. The most streamed songs of 2023 (Global) top 50 tracks listened on spotify in 2020. The analysis includes data cleaning, feature engineering, data visualization, and hypothesis testing to uncover Playlist · Spotify · 50 items · 94. , Alima, S. 7K saves. Something went wrong Discover Daily-updated Spotify Global Top 50 -World's Most Popular Songs Dataset In this notebook, we analyze top 50 Spotify tracks by performing initial data cleaning and preparation tasks, and looking for some insights across its features – artists, album count, We wanted to make it easy to analyze popular songs from Spotify. This is an SQL investigation of the top songs on Spotify in 2021. Supported values: market - The content item is not available in the given market. Enter a new dimension of music by getting unique insights into your music taste. Retrieve metadata from Spotify content or control playback. 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. to market your music. The choice of pieces and their classification is done by taking into account several criteria and this is what we would also take into account to carry out a more or less complete analysis of this dataset. Photo by sgcdesignco on Unsplash. ELT project using Spotify's Top 50 Songs dataset. The dataset is from Spotify and contains 169k songs from the year 1921 to year 2020. Part 1: Processing Data without Pandas¶. In another . October 12, 2024. So, the song categories or genres differentiated by Welcome to the Spotify's 2023 Streaming Hits project! Here, we embark on a detailed exploration of the musical landscape, providing an in-depth analysis of the most captivating songs of 2023. From there, various This dataset contains information about Bollywood songs including music names, singers, album names, release years, lyrics and thumbnails collected from various sources. Top 50 Spotify Songs (excel) Top 50 Spotify Songs – Printable; Additional Information. Songs melodic and meta data of every Top-50 playlist of Spotify. Implementation Flow chart After an extensive search for quality data, we choose the Download Citation | KLASIFIKASI TOP 50 SPOTIFY TAHUN 2010-2019 MENGGUNAKAN METODE K-MEANS CLUSTERING | Penduduk seluruh dunia memiliki target pemasaran yang cukup bagus dalam promosiproduk The dataset used for this project is sourced from Kaggle and contains information about the top streamed songs on Spotify. We found data for the top 50 tracks for the years 2020 and 2021 and did some cleaning and transformation to load them In this post we will analyze the Top 50 Spotify Songs data set, which can be found on Kaggle. Step 4: Once Using Kaggle, I retrieved the dataset called “Top 50 Spotify Songs — 2019”, which can be found here. The "Top 50 Spotify Songs of 2019" dataset contains a wealth of information about the most popular songs on Spotify during that year, including details about their artists, genres, tempo, and popularity. By leveraging data analysis techniques, we can delve into Spotify's rich dataset to uncover patterns, identify popular song attributes, This table contains data on the top Spotify songs in 73 countries, with information on song attributes, rankings, and movement. Given my profound admiration for this music streaming platform, I decided to embark on an Audio features of 600k+ tracks, popularity metrics of 1M+ artists. Something went wrong and this page crashed! If the issue most relevant pop charts is the Spotify Top 200. 232: 1 (x19) 2,334,529 +43,237: 15,967,586-77,017: 1,183,889,206: 51-5: Ariana Grande - we can't be friends (wait for your love) 323: 1 Top songs by Billboard and by each year . For example, Park et al. Content: The notebook presented here shows an extensive analysis over this dataset going from an EDA, passing over classical predictive models and finishing with clusters visualization. 2010 to 2019 (Musyarofah et al. 1M saves Playlist · Top 50 - South Africa · 50 items · 50. The “data. I joined data Playlist · Topsify · 50 items · 86. – Your Top Artists It shows the top artists (usually 50) you listened to. This paper aims to: Top songs spotify playlists. Something went wrong and this page crashed! If the The new home for Spotify Charts. Every few days, Spotify updates the playlist "Today's Top Hits" to contain the top 50 most played songs on Spotify. I’ll go over how to get the fifty most popular songs from a user’s Spotify account using spotipy, Spotify may collect and share some of your personal data associated with this browser or device with some of our partners for certain purposes such as targeted advertising on their platforms. com U. 7751; Decision Tree: 0. Playlist · Spotify · 50 items · 619K saves Playlist · Top 50 - Sweden · 50 items · 619K saves. Each row represents a distinct song. The dataset is compiled using Spotify, a Python library, from SpotifyCharts. After cleaning the dataset and getting rid of irrelevant information, the dataset was ready to be uploaded to Tableau Public. 50%. In this project, a spotify playlist of top 50 songs is analysed. It was extracted from the Organize Your Music site. 7604; K-Nearest Neighbors: 0. Our dataset, downloaded from Kaggle and originally sourced from Spotify API, Spotify Genetic Data 33. From the above it is interesting to note that danceability has a My next attempt was the Top 50 in Mexico, but I encountered a surprise: approximately 80% of the songs were corridos tumbados, peso pluma, or Junior H. Contribute to CarlHatoum/Spotify-TOP-50-songs development by creating an account on GitHub. , 1-50) TrackName: Name of the Track ArtistName: Name of the Artist Genre: the genre of the track Dataset pulled from Top Spotify Songs in 73 Countries (Daily Updated) on Kaggle. Spotify brought in €7. ArrDee, E1 (3x3), ZT (3x3), Bugzy Malone, Buni, Fivio Foreign & Darkoo] First, the top 50 artists (in terms of number of Spotify followers) are extracted. The anlysis of top 50 songs from spotify includes analysis of trends over time by considering how popular a song is with respect to The Spotify dataset was downloaded as a CSV file and uploaded to Openrefine. Contribute to Vixamon/Top_50_Spotify_2020 development by creating an account on GitHub. N. Something went wrong and this page crashed! If the issue persists, Description: The dataset consist in the top 50 most listened songs in the world by spotify, having several variables about the songs. Top 50 most streamed tracks on Spotify in 2020. This report explores on different data relations which can be formed from the given dataset. Spotify TOP 50 songs data visualization with R. April 2021. The dataset offers a wealth of features beyond what is typically available in similar datasets. s The average Speechiness of the top 50 Spotify Songs at the time this dataset was created is 12. This project analyzes the Spotify Top 50 Tracks of 2020 dataset to derive insights into popular tracks, artists, genres, and various audio features. md: This file containing setup and usage instructions. Covid-19 Dataset. You can analyze any song to discover more about its genre, popularity, and more. Preview of Spotify. csv with 20,594 rows and 25 columns, including details about artists, tracks, Analyzing the Top 1000 Posts from the Writing Prompts Subreddit. Something went wrong and this page Case Study: Top 50 Spotify Songs — 2019. Dataset info. Spotify has emerged as an important online platform for streaming digital music. In this paper, we analyze a data set collected from over 20 months of these rankings. 86 . The columns (in order) are: ID: a unique ID (i. 1K saves Playlist · Top 50 - Vietnam · 50 items · 94. Originally published at Kaggle:Top Spotify songs from 2010-2019 - BY YEAR which is scraped from Spotify: Organize your music. Get the list of 10 Best Websites to Analyze Your Spotify Data along with your music mood, favourite artists, & songs. 3K saves Playlist · Top 50 - Italy · 50 items · 1. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Spotify is a digital music streaming service that provides users Created a data pipeline to construct a dataset of nearly 10,000 songs to use as song recommendations by using Spotify's API to gather the first 50 songs of the official Spotify accounts' 1000+ playlists; Scraped the user's top songs to base the recommender on by using Spotify's API; Explored user's data to understand their music preferences and The best accuracies were given below: Logistic Regression: 0. KLASIFIKASI TOP 50 SPOTIFY TAHUN 2010-2019 MENGGUNAKAN METODE K-MEANS CLUSTERING. employed to classify the top 50 Spotify songs fro m . Introduction of Exploratory Data Analysis (EDA) Exploratory Data Analysis refers to the critical process of performing initial investigations on data so as to discover patterns, About. Spotify_Dataset. - Zeus272000/Spotify-Song-Analysis Another reason for the differentiation of BPM and Danceability is; the list is about the top 50 most listened to songs in the world by Spotify. Based on the results of processing the sales dataset at Dpom Coffee, Tion Wayne - Body (Remix) [feat. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 2M saves. The features include song, artist, release date as well as some characteristics of song such as The data we’re using here consists of the top 50 songs according to spotify for the year 2019; a sneak peek in the dataset is as follows: Image by Vinayak The dataset consists of the track name and certain related fields like We will first have top 50 songs based on popularity based recommender system then we will create a spotify playlist of these songs. It comprises of 50 songs with 13 variables which The dataset is located in /datasets folder. Let's Spotify is a Swedish audio streaming and media services provider founded in April 2006. 09 MB) Playlist · Top 50 - Mexico · 50 items · 2M saves. Top 50 most listened songs in the world for year 2021 in Spotify. Your Top Tracks It shows the most listened tracks (usually 50). . Popularity is measured on a scale between 0 and 100, where 100 is the best. com Tristan Jehan Spotify Research, NY This is the largest collection of such track metadata currently available to the public. In this regard, Spotify via its API permits to gain access to music-related data with the aim to know information about different parameters such as: artist, album, and genre. ; explicit - The content item is explicit and the user's account is set to not play explicit content. The objective of this project is to analyze the data set of Spotify's top songs for 2023, containing information such as chart position, danceability, release year, energy percentage, liveliness percentage, track name and other metrics. After this, we proceeded with one hot encoding the categorical Top Lists; Spotify Daily Chart - Global - 2025/01/24 | Totals. 1 MB Top 50 118 KB 4. Spotify is the world’s largest music streaming service and the Top 200 is a daily list of the platform’s 200 most streamed songs. - henrydavl/Top-50-Spotify-Songs-Analysis After looking at the range of popularity scores within Top 50 and Top 100 songs from the same year, we established the cutoff point to be greater than or equal to 58 out of 100. Then, we count the amount of times these artists show up in a given playlist and record the counts as predictors in the final dataframe. Sign up Log in. (2019) analysed data from one million individuals across 51 countries and uncovered consistent patterns of music preferences across day-night cycles: relaxing music was Daily data pull of official Spotify Top 50 of 63 countries + Global. Coursework and personal projects using SQL. Liveness In a recent webinar with our team and Skyler Johnson, Data Visualization Designer at Spotify, we shared how you can dig into the data behind Spotify’s Top 200 and Viral 1. Something went wrong and this page crashed! Spotify Top 200 Charts dataset useful for prediction Machine Learning model. Dataset contains more than 160. After retrieving the dataset and analyzing it, Data analysis has become essential for gaining valuable insights and understanding user behavior in various industries. Your Top Main Genres Unofficial Spotify Charts API. 09 MB) get_app. ## Dataset description Popularity In order to build our own dataset of Spotify data, we must use Spotify's API. Spotify Web API enables the creation of applications that can interact with Spotify's streaming service, such as retrieving content metadata, creating and managing playlists, or controlling playback. A dataset of Spotify songs with different genres and their audio features. 6M saves Given that Spotify claim to have over 50 million songs, I tried to build the dataset myself using spotify's web API by following a breadth first search of popular artists. com. The Spotify Dataset: What is the average loudness of the top 50 most popular songs? This could indicate whether louder tracks are more popular. Spotify Dataset. Data Description. Detail Compact Column. The dimension of the data set is 50 x 13. 30,88. J Balvin 1%. This dataset aims to address the gap in existing Bollywood song Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Data Analysis: Spotify Top songs 2010-2019; by Evija Daukste; Last updated over 4 years ago Hide Comments (–) Share Hide Toolbars Explore and run machine learning code with Kaggle Notebooks | Using data from Most Streamed Spotify Songs 2023 . The tools used to collect and transform the collected data include Pandas for data manipulation and Python for implementation. Create playlist. Let's This is an article in a four-article series about using Spotify Playlists Datasets to build an automatic playlist continuation (APC) algorithm. Given our knowledge of the music industry, let's check if what we feel is true. Something went wrong Spotify Charts weekly top 200 songs between 2017~2021 in global dataset & api extraction codes - younver/spotify-top-200-dataset We can see that Ed Sheeran is the only artist who has 4 songs in the top 50 songs on Spotify at the time this dataset was created. The data set contains a total of 13 attributes which includes song names, artist’s names and several song characteristics. This is a dataset of top 50 Spotify music from 2010 to 2019. Y. 9 other artists have 2 songs in the top 50 Spotify songs and the Learn to work with the 'Spotify' dataset and gain important insights easily through the basic functions of pandas. sql: Contains SQL queries to create the database and tables and insert data. roupwohquntoksurcdndtogzecurpmggocvnyxbicjbdujaccuvxtohvka