Explorando el éxito musical en Spotify con Python
The article discusses a project analyzing musical success on Spotify using Python and data science techniques. The analysis involved exploring a dataset from Kaggle, focusing on various musical characteristics and their correlation with song popularity. Key findings indicated that factors like danceability and energy are related to the success of songs on the platform.
- ▪The project utilized Python, Pandas, and visualization techniques to analyze Spotify data.
- ▪Different processes of exploratory data analysis were conducted, including dataset exploration and visualization.
- ▪The analysis revealed patterns linking musical characteristics to song popularity on Spotify.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936407) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Maria Angeles Ciobanu Posted on May 17 Explorando el éxito musical en Spotify con Python #python #datascience #jupyter #pandas Explorando el éxito musical en Spotify con Python En este proyecto realicé un análisis exploratorio de datos utilizando Python, Pandas y técnicas de visualización sobre un dataset de Spotify obtenido desde Kaggle.
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