Summary: In Progress Resources Python Version: 3.7 Packages: pandas, json, requests Visualizations: matplotlib, seaborn, plotly express and graph objects Article: https://aditya-gaikwad3.medium.com/how-much-i-listen-to-music-is-my-music-diverse-analyzing-my-spotify-streaming-history-804afffc18b5 Full Code can be accessed at the Github repository

Summary: Data fragmented into 4 Segments using a combination of Principal Component Analysis (4 Components) and K-Means Clustering. Career-focused - Young group of high-income and well-qualified people. Well-off - Mid-Age wealthy group in a big city. Standard - Average Population. (Middle Class) Few opportunities - Customers from small cities with mediocre income and not highly qualified. A Descriptive Analysis of the Number of purchases, Brand choice, and Revenue generated per segment.