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Contents
Introduction
Singapore has developed rapidly over the past few decades and part of this development is attributed to the Education System. Singapore Education System is known to be stressful and concerns have been raised about the need to change. Is the goal at the end of this rat race worth the stress?
The Graduate Employment Survey (GES) is conducted on a yearly basis to provide insights on the salary prospects of a course. The Ministry of Education (MoE) conduct these surveys yearly for Local Universities in Singapore. However, the results of these surveys are not interactive and do not provide any trends and insights with respect to the Labour Market demands.
Labour Market data such as Job Vacancy are collect by Ministry of Manpower (MoM) to provide insight and information of the labour market to the public. Data for Job Vacancy are pertaining to private sector establishment each with at least 25 employees and the public sector. However, those data are usually in tabular form and provide minimum insight to the public for analysis of the labour market.
This project aims to offer insights about the fresh graduate salary with respect to the Labour Market in Singapore and its changes over the years. We will be focusing on the vacancy rate of the labour market and the reason contribute to the vacancy, as it affects the fresh graduate employment indirectly.
Motivation
Our research and development efforts were motivated by the lack of easy to use web-based visualizations about the fresh graduate salary and labour market as these data are mainly published in table form which are hard to illustrate trends moreover gain insights.
In addition, as graduates who will be entering the job market soon, we want to better understand the industry outlook in the labour market. Ultimately, we hope that these visualizations would help other students from Junior Colleges and Polytechnics decide their career paths.
Objectives
In this project, we are interested to create a visualisation application that helps users perform and answer the following:
1. Visualise Ranking of Highest Starting Salary throughout the years
2. To find insight and relationship difference between Starting Salary and Labour Market
3. To find out the trend of the Starting Salary and the employment rate over the years with regards to the courses
4. To find out the popularity of the courses by intake, and what new courses are been introduced or omitted over the years
Dataset Description
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Background Research and Survey of Related Work
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Key Technical Challenges
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Tools & Libraries
- Tableau
- Microsoft Excel
- Photoshop
- D3.js Library
- HTML, CSS & JavaScript
- Github
Story Board
Story board are done to show the type of chart & data to display Graduate Employement Survey Data Look into the graduate employment survey data to find out:
- Changes of Gross Monthly Salary of each degree over the year
We intended to use Scatter Plot to show the different relationship between the salary, employment rate of each degree course. It show shows it's position among all the other courses from the different university school. We will be including a timeline slider, to change the data-point accrodingly to the specific year. This will help to show how it have changes over the years
- Ranking of the salary across the degree:
Next, we intend to perform a ranking of the degree by its salary. This help to shows the ranking of each course by the starting salary amount. Beside ranking, we will show the 25, 75 percentile as well to showcase the gaps between the salary despite being of the same university and school. This allows end-user to have a better gauge of the salary distribution.
Gross Monthly Income After knowing the salary of the different degree over the year, and the ranking. We want to look into the salary of different industry and sector. Hence, We want to find out
- What’s the changes of salary of the Sector or Industry over the year
For this, we will be using a slope graph instead. As slope graph is able to show the ranking and better illustrate the change in salary between the two years.
Rates (Recruitment, Resignation, Vacancy) Knowing the Employment Rate from the GES, we want to look into the Recruitment, Resignation & Vacancy Rate. To find out:
- Whether is there a relationship between the rates?
For this, we will be using a bullet chart. With the Vacancy Rate being the target, the Recruitment Rate as the actual value and Resignation as the additional information. This will illustrate whether the company is able to recruit based on the amount of vacancy it has.
Vacancy Reason After knowing about the vacancy rate of the different occupation group and industry. We are interested to know the reason behind the vacancy rate. Hence, we want to find out:
- Which reason contributes most to the vacancy rate of the particular industry, and which reason contributes most based on Job Education Level. And how it has changed from 2015 to 2016
Using a spider chart, it helps to better illustrate the different reason contribution to the vacancy. As each reason is a category itself, spider chart fits well in such situations.
Project Timeline
References
- Data Gov : https://data.gov.sg/search?groups=education
- Salary SG : http://www.salary.sg/
- Visualisation of SG Graduate Salary : http://pay.sgcharts.com/
- Digital Senior : http://digitalsenior.sg/graduate-employment-survey-ges-nus-ntu-smu/
Comments
Feel free to give us comments!
