An data science project analyzing Spotify's most streamed songs of 2024. Features a complete pipeline for data cleaning, EDA, hypothesis testing, and an XGBoost model deployed in a Flask web application with a predictive simulator.

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

Exploratory data analysis of Spotify Global Streaming Data 2024 using Python, Pandas, PySpark, and visualization libraries to uncover listening trends and insights.

Power BI dashboard (2024 Spotify analysis) || Python integration (Spotify Web API + custom visuals) || 7 key visuals (streams, trends, heatmap, audio features) || 2 data layers (raw + cleaned CSV) || 1 deliverable report file (.pbix)

A comprehensive analysis of Spotify's top-streamed songs in 2024, featuring data visualizations, insights, and machine learning models to predict track popularity across platforms.

Cleaned and transformed the "Most Streamed Spotify Songs 2024" dataset in Python (Google Colab). Features include streams-per-day, platform engagement metrics, artist stream shares, and explicit/clean analysis. Dataset is Power BI–ready, showcasing data cleaning, feature engineering, and actionable insights

Advanced Power BI project analyzing Spotify listening behavior (2013-2024). Expertly leverages DAX for complex metric calculation (Skip Rate, Shuffle Ratio) and Dimensional Modeling. Features include Quadrant Analysis (Plays vs. Duration), Time-of-Day Heat Maps, and a dynamic Drill-Through grid for granular data access.

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This project provides a data-driven analysis of Spotify's Most Streamed Songs of 2024. We use SQL for querying, Excel for data visualization, and Power BI for an interactive dashboard. The dataset is sourced from Kaggle.

A Power BI dashboard analysing my 2024 and 2025 Spotify listening trends using Python and Pandas

A short project to investigate streaming data for Spotify 2024

This project analyzes Spotify streaming data using Python to find popular songs, genres, yearly trends, and user types. Charts were used to clearly show the results.

Analysis of my 2024 Spotify listening data.

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Spotify 2024 data analysis - trends, popularity insights, and ML predictions.

A advanced POWERBI Project on Spotify History (2013-2024) Spotify Listening Data Analysis and Trends

Exploratory data analysis on the most streamed Spotify songs in 2024

Spotify Top 100 Country Music Analysis (Data from January 9, 2024, Kaggle)

Exploratory analysis of 2024 Spotify streaming data to generate user growth insights.

Analysis of songs from the period 18 October 2024 to 1 May 2024 from Spotify data.

🎧 Interactive Spotify 2024 Dashboard built using Python, Power BI, and Spotify API for real-world music data analysis.

Data analysis project exploring the top 500 songs streamed globally on Spotify in 2024

Data analysis of Spotify 2024 top streamed songs using SQL queries, SQLite, and Python visualizations.

Performing EDA(Exploratory Data Analysis) on the dataset "Most Streamed Spotify Songs 2024"and visualizing it

🎧 Spotify Insights: Most Streamed Songs (2024) A data analysis project using Python, Pandas, Matplotlib, and Seaborn — exploring the top 4,500+ streamed songs on Spotify in 2024. Includes data cleaning, outlier handling, EDA, and platform-wise comparisons across Spotify, YouTube, and Shazam.

Data science project analyzing the Most Streamed Spotify Songs 2024 dataset. Includes data cleaning, exploratory analysis, and visualizations across Spotify, YouTube, TikTok, and other platforms to uncover factors influencing streaming success.

In this Data Analysis project I have explored the some metrices in the dataset taken from Kaggle 'Most Streamed Spotify Songs 2024' such as Spotify Streams, YouTube Views, TikTok engagement, and more