Difference between revisions of "IS428 2016-17 Term1 Assign2 Nguyen Duy Loc"
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* Treemap | * Treemap | ||
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==Tools Utilized== | ==Tools Utilized== | ||
# Excel 2013 for data preparation | # Excel 2013 for data preparation | ||
# Tableau for visualization | # Tableau for visualization |
Revision as of 02:30, 26 September 2016
Contents
Abstract
Work safety is always one of the burning issues among the workers in Singapore. In fact, a large number of foreign workers come to Singapore to work. They get injured while working and have to go back home. This study attempts to understand the patterns of work injuries. During which time that accidents usually happen, how long does it take for the incidents to be reported to MOM, which are some of the major hospitals that handle victims, and what are the notorious industries in which accidents tend to happen more often.
Problem and Motivation
We often see the signs of workplace safety-related slogans on the construction sites or on governments' advertisements. But what we don't usually see is the actual accident cases and the suffering people have to go through because of these accidents. Why are there still many accidents in Singapore, a first world country that always stresses on the importance of safety at workplace. Is it due to human's errors or lack of safety practices.
This study aims to understand the root causes of the problem and what factors increase the likelihood of an accident. The targets are the patterns of ages among the victims and of time distributions throughout the year. From these patterns, we can resolve if weather conditions have an effect in increasing the odds or if younger and less experienced workers are more prone to accidents. A side note is that among the major injuries, slipping/fall is the highest causes.
Data Gathering and Data Processing
The data I used for this study is the Workplace Injuries Data 2014. It is a multivariate source. Each record contains the information on the accident such as date, time, type, and cause. Victim's details can be found on columns age, employment period, and occupation.
A snapshot of the data is as below:
Approaches
Since the study is about discovering unknown unknown. I apply all the techniques learnt in class to explore the data and find out any interesting patterns in it.
- Ternary diagram
- Parallel coordinates
- Trellis
- Mosaic plot
- Divergent bar chart
- Parallel Sets
- TableLens
- Treemap
Conclusion
Tools Utilized
- Excel 2013 for data preparation
- Tableau for visualization