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Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan

Waste collection management dataset was collected hardly as it consumes lot of time and cost to finished collecting all the required parameter. However, the dataset is currently stored in Microsoft Excel which is in a static form and hardly to interpret. Aim of this project is to interpret the data...

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Main Author: Amizan, Hamna Syazwani
Format: Thesis
Language:English
Published: 2017
Subjects:
Industrial and factory wastes
Online Access:https://ir.uitm.edu.my/id/eprint/109845/1/109845.pdf
https://ir.uitm.edu.my/id/eprint/109845/
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spelling my.uitm.ir.1098452025-02-06T04:06:16Z https://ir.uitm.edu.my/id/eprint/109845/ Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan Amizan, Hamna Syazwani Industrial and factory wastes Waste collection management dataset was collected hardly as it consumes lot of time and cost to finished collecting all the required parameter. However, the dataset is currently stored in Microsoft Excel which is in a static form and hardly to interpret. Aim of this project is to interpret the data visually by converting the static form of data into interactive form. This is for users to analyze the current data for future enhancement to seek the shortest route. By looking at the graphs, users can analyze and predict the pattern of the dataset and use the crossfiltering technique to filter a certain data that users want to see. This project uses visual analytic technique for pie and bar chart graphs using html and java. This project had been tested for its accuracy and functionality through experimentation with few sets of data. As a result, the graphs are functioning well. For the conclusion, the waste collection management dataset become more meaningful as users can interpret the relationship among the graphs. 2017 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/109845/1/109845.pdf Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan. (2017) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/109845.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Industrial and factory wastes
spellingShingle Industrial and factory wastes
Amizan, Hamna Syazwani
Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan
description Waste collection management dataset was collected hardly as it consumes lot of time and cost to finished collecting all the required parameter. However, the dataset is currently stored in Microsoft Excel which is in a static form and hardly to interpret. Aim of this project is to interpret the data visually by converting the static form of data into interactive form. This is for users to analyze the current data for future enhancement to seek the shortest route. By looking at the graphs, users can analyze and predict the pattern of the dataset and use the crossfiltering technique to filter a certain data that users want to see. This project uses visual analytic technique for pie and bar chart graphs using html and java. This project had been tested for its accuracy and functionality through experimentation with few sets of data. As a result, the graphs are functioning well. For the conclusion, the waste collection management dataset become more meaningful as users can interpret the relationship among the graphs.
format Thesis
author Amizan, Hamna Syazwani
author_facet Amizan, Hamna Syazwani
author_sort Amizan, Hamna Syazwani
title Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan
title_short Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan
title_full Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan
title_fullStr Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan
title_full_unstemmed Visual analytic technique for waste collection management dataset analysis / Hamna Syazwani Amizan
title_sort visual analytic technique for waste collection management dataset analysis / hamna syazwani amizan
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/109845/1/109845.pdf
https://ir.uitm.edu.my/id/eprint/109845/
_version_ 1823540796054306816
score 13.23648

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