A data analysis project involving the saddest and happiest songs available at Spotify

Pulling data using both the Genius API and the Spotify API I've been able to analyze Jorge Drexler's music and get some insights and visualizations on his creative process and his songs in general; both from the lyrics side and the musical theory side. Wordcount, lexical and lyrical density, sentiment analysis and analysis of musical components like tempo, time signature and key are all taken into account. Also, in the end, gloom_index is used combining both lyrics and music.

This web app recommends trending movies and songs by analyzing real-time tweets using sentiment analysis. It fetches data from Spotify and TMDB, and sends personalized email updates to users.

Exploring Spotify's latest trends, top songs, genres, and artists using Python, Pandas, NumPy, Matplotlib, CNNs for image-based analysis, and advanced algorithms for music recommendation. Dive into the world of music data and discover what's trending on Spotify! 🎵📊

ETL project using the Spotify API to get the daily top 50 global songs in the app. This project will use the AWS cloud tools to load the data into AWS Athena for analysis.

This project is an Exploratory Data Analysis (EDA) on the Spotify dataset. The dataset contains information about various songs, including their features such as danceability, energy, loudness, and more. Through this analysis, we aim to gain insights into the characteristics of the songs and explore any patterns or trends.

Discover Spotify trends with our data analysis project! Using pandas, matplotlib, and seaborn, we delve into the most popular songs, release patterns by month and year, and BPM trends in top tracks. Gain valuable insights into listener preferences and industry strategies. Join us to uncover the hidden rhythms of the music world

Spotify data analysis on Iron Maiden's songs

Data Analysis of Spotify Songs Dataset

Exploratory Data Analysis on Spotify Streaming songs 2024 data. Extracting and interpreting insights with multiple plots.

Exploratory Data Analysis of dataset of spotify having data of approximately 1000 songs done by data cleaning followed by univariate analysis, Bivariate analysis, multivariate analysis

Data Munging, Exploratory and Statistical Analysis of 174k+ tracks and 10+ audio features of Spotify Data Set with songs released between 1921 and 2021.

A comprehensive data analysis project exploring musical trends, audio features, and lyrical patterns in Spotify's top 100 songs from 2010-2019.

Reorder Spotify playlists to minimise the differences between songs based on Spotify audio analysis data. This is entirely done on the frontend using the Web API, with no backend required or used.

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Exploratory data analysis for the dataset from Kaggle. The dataset includes most streamed songs from Spotify.

Exploratory Data Analysis of Spotify Songs Dataset

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Notebook with statistical analysis of Spotify Top Songs data

Exploratory Data Analysis of Top Spotify Songs 2010-2019

Project on Spotify Data Analysis for the Top Artists & Songs Wrapped.

📊 Analysis of Spotify Top 50 songs data for school project

A data analysis project exploring the most streamed Spotify songs of 2023.

Data analysis of Spotify top songs — exploring virality, longevity, and global music moods.

Contains analysis of songs in spotify with data from the provided .csv file

Spotify songs analysis Mini-Project for SC1015 - Introduction to Data Science and Artificial Intelligence

A beginner-level data analysis project exploring the relationship between danceability and valence in Spotify songs.

Análise exploratória de dados das músicas de Gilberto Gil no Spotify // Exploratory Data Analysis (EDA) for Gilberto Gil's songs in Spotify