Data extraction, analysis and prediction using python programming techniques

• Main Author: Chwee, Norman
• Other Authors: Chan Chee Keong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Data; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/136905
• Institution: Nanyang Technological University

Python is a popular programming language that is used in variety of projects such as Predictive analysis to web development. Its flexibility and ability to support third party tools reduces the complexity in otherwise difficult tasks. This project aims to fulfil three objectives using the Python programming language. Firstly, it aims to retrieve data from a musical Big Data source. Secondly, its analysis the data to view possible trending music genre in the gathered data. Lastly, it will attempt to predict the future trend of the music genre based on the analysed data. Methods used in this project will largely base on using multiple Python third-party software and tools to meet the objective of this project. A few methods used is using a web crawler to gather the data, present it in a table format for readability. Then use the data to plot graphs and develop a predictive model that may accurately predict future trends.