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Title: Data collection and analysis for air pollutants in Hong Kong
Authors: Poh, Tim Jian Hao
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Project: A2235-191
Abstract: Data science allows us to study and analyze trends from a given set of data. By analyzing said trends, we can determine unique patterns and discover new variables. With the right analysis, forecasts for future trends can be possible too. In this paper, we study the prevailing air pollution trends in Hong Kong and use python programming in order to analyze the trends and make forecasts for possible future trends.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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