-
Notifications
You must be signed in to change notification settings - Fork 14
/
about.Rmd
53 lines (35 loc) · 2.06 KB
/
about.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
---
title: <font size="6"> About Project</font>
author:
output:
html_document:
theme: flatly
highlight: pygments
number_sections: false
self_contained: true
lib_dir: libs
fig_caption: true
toc: false
toc_float: false
---
```{r global_options, include=FALSE}
knitr::opts_chunk$set(warning=FALSE)
```
Young people of Singapore have these two questions before they choose the university to study:
* Which university has better graduate employment rate?
* Which university graduate earns more?
Our motivation is that the dashboard will help young people of **Singapore** and those seeking study opportunities in Singapore to analyze which university & degree has better outcome with regards to **employment and income**.
This project is a course-work in "Advanced R" created by Zimin Luo and Lasha Gochiashvili. Instructors - Piotr Wójcik PhD and Piotr Ćwiakowski Mgr.
<img src="www/wnelogo.png" width="500"/>
## The Graduate Employment Survey (GES)
The **main components** of the analysis are:
* Employment Rate
* Monthly Gross Income
The Graduate Employment Survey (GES) is jointly conducted by NTU, NUS, SMU, SIT (from 2014), SUTD (from 2015) and SUSS (from 2018) annually to survey the employment conditions of graduates about **six months** after their final examinations.
Graduates from NTU, NUS, SMU and SUSS are surveyed in Nov. Due to their different academic calendars, graduates from SUTD and SIT are surveyed in Feb and Mar.
The Ministry of Education of Singapore (MOE) publishes the results of key employment indicators of the survey and the **dataset** can be found here: [data.gov.sg](https://data.gov.sg/dataset/graduate-employment-survey-ntu-nus-sit-smu-suss-sutd)
## The Code of Project
The code is written in R using Shiny. The documentation of web application and
the website that you visited just now is published with R Markdown for better flexibility.
**Full code** is freely available at:
[Github](https://github.com/LashaGoch/R-Shiny-App-Graduate-Employment-Singapore)