Data collection and analysis for air pollutants in Hong Kong

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...

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Main Author: Poh, Tim Jian Hao
Other Authors: Wong Kin Shun, Terence
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140203
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1402032023-07-07T18:40:47Z Data collection and analysis for air pollutants in Hong Kong Poh, Tim Jian Hao Wong Kin Shun, Terence School of Electrical and Electronic Engineering EKSWONG@ntu.edu.sg Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-27T05:58:16Z 2020-05-27T05:58:16Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140203 en A2235-191 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Poh, Tim Jian Hao
Data collection and analysis for air pollutants in Hong Kong
description 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.
author2 Wong Kin Shun, Terence
author_facet Wong Kin Shun, Terence
Poh, Tim Jian Hao
format Final Year Project
author Poh, Tim Jian Hao
author_sort Poh, Tim Jian Hao
title Data collection and analysis for air pollutants in Hong Kong
title_short Data collection and analysis for air pollutants in Hong Kong
title_full Data collection and analysis for air pollutants in Hong Kong
title_fullStr Data collection and analysis for air pollutants in Hong Kong
title_full_unstemmed Data collection and analysis for air pollutants in Hong Kong
title_sort data collection and analysis for air pollutants in hong kong
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140203
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