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− | + | *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/ | ||
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Revision as of 19:46, 16 October 2017
Visual Analytics Project
Contents
Problem and Motivation
Problem: The Graduate Employment Survey (GES) is conducted on a yearly basis to provide insights about the job prospects about a particular course. The Ministry of Education conduct these surveys yearly for both University and Polytechnics in Singapore. However, the results of these surveys are not interactive and does not tell any trends to the reader. Motivation: As graduates to be who going to enter the job market soon, we felt that it would be interesting to look at the historical salary data to know the gauge of our expected salary, the demand in the job market and as well our position in term of starting salary among our fellow school peers. In addition, we also felt that it would be interesting to find out whether does the starting salary affects the intake for the course in that year. Furthermore, we hope that our visualizations would help students from Secondary Schools and Junior Colleges decide their courses choices with regards to its career prospects as it would be interesting to find out what are the top paid salary programmes through the year, and the changes to the market demands.
Objectives
In this project, we are interested to create a visualisation application that helps users perform and answer the following:
1. Visualise Ranking of Top Paid Starting Salary throughout the years
2. To find out intake trends for tertiary courses in Singapore
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
Background Research and Survey of Related Work
Key Technical Challenges
Key Technical Challenges | Mitigation Plan |
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Proposed Visualization
Tools & Libraries
- Tableau
- D3.js Library
- Photoshop
- Microsoft Excel
- SAS Enterprise Guide
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/