-
+
-
-
-
+
{/if}
-
-
diff --git a/src/lib/components/SearchResults.svelte b/src/lib/components/SearchResults.svelte
index d2fda5f..12bb5a2 100644
--- a/src/lib/components/SearchResults.svelte
+++ b/src/lib/components/SearchResults.svelte
@@ -1,32 +1,32 @@
{#if degrees.length > 0}
-
+
+
+ -
- {#each degrees as degree}
- {@const img = short2img[long2short[degree.university]]}
-
-
-
-
-
-- -- {degree.university} --- {degree.degree}, {degree.school ?? "N/A"} -
-
- {/each}
-
-
+ {#each degrees as degree}
+ {@const img = short2img[long2short[degree.university]]}
+
-
+
+ ++ ++ {degree.university} ++
+ {degree.degree}, {degree.school ?? "N/A"} +
+
+ {/each}
+
-
- {long2short[record.university]}
- {record.degree}
-
- {record.pctChange > 0 ? "+" : ""}{record.pctChange.toFixed(2)}%
-
-
+
+ {long2short[record.university]}
+ {record.degree}
+
+ {record.pctChange > 0 ? "+" : ""}{record.pctChange.toFixed(2)}%
+
+ - StudyWhat -
-
+ {#if !isHome}
+
+
+
+
+
+
- {#each data.gainAndLoss.best as record}
-
- {/if}
- {#if data.gainAndLoss.worst.length > 2}
-
-
- Losers 1Y (%)
-
- {#each data.gainAndLoss.worst as record}
-
- {/if}
+ {#if data.gainAndLoss.best.length > 2}
+
+
+ {#each data.gainAndLoss.best as record}
+
+ {/if}
+ {#if data.gainAndLoss.worst.length > 2}
+
+
+ Losers 1Y (%)
+
+ {#each data.gainAndLoss.worst as record}
+
+ {/if}
-
-
-
-
-
-
-
-
- - Graduate Median Incomes by Degree -
- -
-
-
-
-
-
+
-
-
-
- Distribution of Median Incomes
-- Note: Frequency in terms of degrees, not graduates -
-
+
+
+
+
+
+
+
+ + Graduate Median Incomes by Degree +
+ +
+
+
+
+
+
+
+
+
+ Distribution of Median Incomes
++ Note: Frequency in terms of degrees, not graduates +
+
-
-
- Data Table
-
-
- | long2short[row.university]} - >University | -Degree | -Gross Median | -25th | -75th | -Employment Rate | -
|---|---|---|---|---|---|
| {long2short[row.university]} | -- {row.degree} - - | -${row.gross_monthly_median.toLocaleString()} | -${row.gross_mthly_25_percentile.toLocaleString()} | -${row.gross_mthly_75_percentile.toLocaleString()} | -{row.employment_rate_overall}% | -
+
+
+ Data Table
+
+
+ | long2short[row.university]} + >University | +Degree | +Gross Median | +25th | +75th | +Employment Rate | +
|---|---|---|---|---|---|
| {long2short[row.university]} | ++ {row.degree} + + | +${row.gross_monthly_median.toLocaleString()} | +${row.gross_mthly_25_percentile.toLocaleString()} | +${row.gross_mthly_75_percentile.toLocaleString()} | +{row.employment_rate_overall}% | +
-
-
-
diff --git a/src/routes/degree/[slug]/+page.ts b/src/routes/degree/[slug]/+page.ts
index 3407a60..e6b5d32 100644
--- a/src/routes/degree/[slug]/+page.ts
+++ b/src/routes/degree/[slug]/+page.ts
@@ -3,17 +3,17 @@ import { error } from "@sveltejs/kit";
import type { GESData } from "$lib/types";
export async function load({ fetch, params }) {
- const slug = params.slug;
- let degree: GESData | undefined;
+ const slug = params.slug;
+ let degree: GESData | undefined;
- if (local) {
- degree = local.find((d) => d.slug === slug);
- if (!degree) error(404);
- } else {
- const response = await fetch(`/api/degree/${slug}`);
- if (!response.ok) error(response.status);
- degree = (await response.json()) as GESData;
- }
+ if (local) {
+ degree = local.find((d) => d.slug === slug);
+ if (!degree) error(404);
+ } else {
+ const response = await fetch(`/api/degree/${slug}`);
+ if (!response.ok) error(response.status);
+ degree = (await response.json()) as GESData;
+ }
- return { degree };
+ return { degree };
}
diff --git a/src/routes/disclaimers/+page.svelte b/src/routes/disclaimers/+page.svelte
index 83f2d72..d1ac2e5 100644
--- a/src/routes/disclaimers/+page.svelte
+++ b/src/routes/disclaimers/+page.svelte
@@ -1,273 +1,262 @@
-
-
+
-
-
-
-
-
- {data.degree.university}
-
- - {data.degree.school ?? "N/A"} -
-- {data.degree.degree} -
--
-
-
+
+
- {#if data.degree.data.length >= 2}
-
+
+
+
+
+
+ {data.degree.university}
+
+ + {data.degree.school ?? "N/A"} +
++ {data.degree.degree} +
++
+
+
-
- > 0} />
-
+ {#if data.degree.data.length >= 2}
+
+ > 0} />
+
+
+ {/if}
-
-
- Gross Income
-
-
-
+
+ > 0} />
+
-
- > 0} />
-
-
- {/if}
+
+
+ Gross Income
+
+
+
-
- Employment Rate
-
-
-
+
+ Employment Rate
+
+
+
-
-
-
-
-
-
+
-
-
- Data Table
-
-
- | Year | -Median | -25th | -75th | -Mean | -EmploymentAll | -EmploymentFT | -
|---|---|---|---|---|---|---|
| {row.year} | -{row.gross_monthly_median.toLocaleString()} | -{row.gross_mthly_25_percentile.toLocaleString()} | -{row.gross_mthly_75_percentile.toLocaleString()} | -{row.gross_monthly_mean.toLocaleString()} | -{row.employment_rate_overall}% | -{row.employment_rate_ft_perm}% | -
+
+
+
+
+
+
+
+
+ Data Table
+
+
+ | Year | +Median | +25th | +75th | +Mean | +EmploymentAll | +EmploymentFT | +
|---|---|---|---|---|---|---|
| {row.year} | +{row.gross_monthly_median.toLocaleString()} | +{row.gross_mthly_25_percentile.toLocaleString()} | +{row.gross_mthly_75_percentile.toLocaleString()} | +{row.gross_monthly_mean.toLocaleString()} | +{row.employment_rate_overall}% | +{row.employment_rate_ft_perm}% | +
-
+ Attribution
- This site contains information from - - Graduate Employment Survey - NTU, NUS, SIT, SMU, SUSS & SUTD - which is made available under the terms of - - Singapore Open Data License version 1.0 - - accessed at {new Date().toLocaleDateString("en-SG")}. The dataset was - further extended by the author and is made available under the same license. -
+
- Attribution
+ This site contains information from + + Graduate Employment Survey - NTU, NUS, SIT, SMU, SUSS & SUTD + which is made available under the terms of + + Singapore Open Data License version 1.0 + + accessed at {new Date().toLocaleDateString("en-SG")}. The dataset was + further extended by the author and is made available under the same license. +
-
+ Disclaimer
-- The data published in this document is provided on an “as is” basis - without any warranties of any kind. To the fullest extent permitted by - law, the author does not warrant and hereby disclaims any warranty as to - the accuracy, correctness, completeness, reliability or fitness for any - particular purpose of such data. The reader of this document assumes all - responsibility and risk for the use of such data. the author shall not be - liable for any damage or loss of any kind caused as a result (directly or - indirectly) of the use of such data, including but not limited to any - damage or loss suffered as a result of reliance on the data published in - this document -
-
+
- Disclaimer
++ The data published in this document is provided on an “as is” basis + without any warranties of any kind. To the fullest extent permitted by + law, the author does not warrant and hereby disclaims any warranty as to + the accuracy, correctness, completeness, reliability or fitness for any + particular purpose of such data. The reader of this document assumes all + responsibility and risk for the use of such data. the author shall not be + liable for any damage or loss of any kind caused as a result (directly or + indirectly) of the use of such data, including but not limited to any + damage or loss suffered as a result of reliance on the data published in + this document +
+
-
-
-
+ Data Schema
-| Title | Column name | Data type | Unit of measure | Description |
|---|---|---|---|---|
| Year | year | Datetime (Year) "YYYY" | - | - |
| University | university | Text (General) | - | - |
| School | school | Text (General) | - | - |
| Degree | degree | Text (General) | - | - |
| Overall Employment Rate (%) | employment_rate_overall | Text (General) | - | Overall employment rate refers to the number of graduates working - in full-time permanent, part-time, temporary or freelance basis, as - a proportion of graduates in the labour force (i.e. those who were - working, or not working but actively looking and available for work) - approximately 6 months after completing their final examinations. |
| Full-Time Permanent Employment Rate (%) | employment_rate_ft_perm | Text (General) | - | Full-time permanent employment rate refers to the number of - graduates in employment of at least 35 hours a week and where the - employment is not temporary (including contracts of one year or - more), as a proportion of graduates in the labour force (i.e. those - who were working, or not working but actively looking and available - for work) approximately 6 months after completing their final - examinations. |
| Basic Monthly Salary - Mean (S$) | basic_monthly_mean | Text (General) | - | Basic monthly salary pertains only to full-time permanently - employed graduates. It comprises basic pay before deduction of the - employee’s CPF contributions and personal income tax. Employer’s CPF - contributions, bonuses, stock options, overtime payments, - commissions, fixed allowances, other regular cash payments, lump sum - payments, and payments-in-kind are excluded. |
| Basic Monthly Salary - Median (S$) | basic_monthly_median | Text (General) | - | Basic monthly salary pertains only to full-time permanently - employed graduates. It comprises basic pay before deduction of the - employee’s CPF contributions and personal income tax. Employer’s CPF - contributions, bonuses, stock options, overtime payments, - commissions, fixed allowances, other regular cash payments, lump sum - payments, and payments-in-kind are excluded. |
| Gross Monthly Salary - Mean (S$) | gross_monthly_mean | Text (General) | - | Gross monthly salary pertains only to full-time permanently - employed graduates. It comprises basic salary, overtime payments, - commissions, fixed allowances, and other regular cash payments, - before deductions of the employee’s CPF contributions and personal - income tax. Employer’s CPF contributions, bonuses, stock options, - lump sum payments, and payments-in-kind are excluded. |
| Gross Monthly Salary - Median (S$) | gross_monthly_median | Text (General) | - | Gross monthly salary pertains only to full-time permanently - employed graduates. It comprises basic salary, overtime payments, - commissions, fixed allowances, and other regular cash payments, - before deductions of the employee’s CPF contributions and personal - income tax. Employer’s CPF contributions, bonuses, stock options, - lump sum payments, and payments-in-kind are excluded. |
| Gross Monthly Salary - 25th Percentile (S$) | gross_mthly_25_percentile | Text (General) | - | Gross monthly salary pertains only to full-time permanently - employed graduates. It comprises basic salary, overtime payments, - commissions, fixed allowances, and other regular cash payments, - before deductions of the employee’s CPF contributions and personal - income tax. Employer’s CPF contributions, bonuses, stock options, - lump sum payments, and payments-in-kind are excluded. |
| Gross Monthly Salary - 75th Percentile (S$) | gross_mthly_75_percentile | Text (General) | - | Gross monthly salary pertains only to full-time permanently - employed graduates. It comprises basic salary, overtime payments, - commissions, fixed allowances, and other regular cash payments, - before deductions of the employee’s CPF contributions and personal - income tax. Employer’s CPF contributions, bonuses, stock options, - lump sum payments, and payments-in-kind are excluded. |
- **For caveats related to individual datasets, refer to the source material - from MOE as they vary over time. In general, data on law, medicine, - pharmacy and architecture graduates are obtained from a follow-up survey - after graduates have completed their one-year practical law - course/pupillage/housemanship/first-year residency/practical training. -
-
+
+
+
+
- Data Schema
+| Title | +Column name | +Data type | +Unit of measure | +Description | +
|---|---|---|---|---|
| Year | +year | +Datetime (Year) "YYYY" | +- | +- | +
| University | +university | +Text (General) | +- | +- | +
| School | +school | +Text (General) | +- | +- | +
| Degree | +degree | +Text (General) | +- | +- | +
| Overall Employment Rate (%) | +employment_rate_overall | +Text (General) | +- | +Overall employment rate refers to the number of graduates working + in full-time permanent, part-time, temporary or freelance basis, as + a proportion of graduates in the labour force (i.e. those who were + working, or not working but actively looking and available for work) + approximately 6 months after completing their final examinations. | +
| Full-Time Permanent Employment Rate (%) | +employment_rate_ft_perm | +Text (General) | +- | +Full-time permanent employment rate refers to the number of + graduates in employment of at least 35 hours a week and where the + employment is not temporary (including contracts of one year or + more), as a proportion of graduates in the labour force (i.e. those + who were working, or not working but actively looking and available + for work) approximately 6 months after completing their final + examinations. | +
| Basic Monthly Salary - Mean (S$) | +basic_monthly_mean | +Text (General) | +- | +Basic monthly salary pertains only to full-time permanently + employed graduates. It comprises basic pay before deduction of the + employee’s CPF contributions and personal income tax. Employer’s CPF + contributions, bonuses, stock options, overtime payments, + commissions, fixed allowances, other regular cash payments, lump sum + payments, and payments-in-kind are excluded. | +
| Basic Monthly Salary - Median (S$) | +basic_monthly_median | +Text (General) | +- | +Basic monthly salary pertains only to full-time permanently + employed graduates. It comprises basic pay before deduction of the + employee’s CPF contributions and personal income tax. Employer’s CPF + contributions, bonuses, stock options, overtime payments, + commissions, fixed allowances, other regular cash payments, lump sum + payments, and payments-in-kind are excluded. | +
| Gross Monthly Salary - Mean (S$) | +gross_monthly_mean | +Text (General) | +- | +Gross monthly salary pertains only to full-time permanently + employed graduates. It comprises basic salary, overtime payments, + commissions, fixed allowances, and other regular cash payments, + before deductions of the employee’s CPF contributions and personal + income tax. Employer’s CPF contributions, bonuses, stock options, + lump sum payments, and payments-in-kind are excluded. | +
| Gross Monthly Salary - Median (S$) | +gross_monthly_median | +Text (General) | +- | +Gross monthly salary pertains only to full-time permanently + employed graduates. It comprises basic salary, overtime payments, + commissions, fixed allowances, and other regular cash payments, + before deductions of the employee’s CPF contributions and personal + income tax. Employer’s CPF contributions, bonuses, stock options, + lump sum payments, and payments-in-kind are excluded. | +
| Gross Monthly Salary - 25th Percentile (S$) | +gross_mthly_25_percentile | +Text (General) | +- | +Gross monthly salary pertains only to full-time permanently + employed graduates. It comprises basic salary, overtime payments, + commissions, fixed allowances, and other regular cash payments, + before deductions of the employee’s CPF contributions and personal + income tax. Employer’s CPF contributions, bonuses, stock options, + lump sum payments, and payments-in-kind are excluded. | +
| Gross Monthly Salary - 75th Percentile (S$) | +gross_mthly_75_percentile | +Text (General) | +- | +Gross monthly salary pertains only to full-time permanently + employed graduates. It comprises basic salary, overtime payments, + commissions, fixed allowances, and other regular cash payments, + before deductions of the employee’s CPF contributions and personal + income tax. Employer’s CPF contributions, bonuses, stock options, + lump sum payments, and payments-in-kind are excluded. | +
+ **For caveats related to individual datasets, refer to the source material + from MOE as they vary over time. In general, data on law, medicine, + pharmacy and architecture graduates are obtained from a follow-up survey + after graduates have completed their one-year practical law + course/pupillage/housemanship/first-year residency/practical training. +
+
-
+ Downloads
-Last updated at: {new Date().toLocaleDateString()}
- - -
+
- Downloads
+Last updated at: {new Date().toLocaleDateString()}
+ + +
-
+ Open Source
-This project is open source & is accepting contributions.
-- Repository (Web): Contains the source code of the web app (SvelteKit) -
-- Repository (PDF Scraper): Contains miscallaneous scripts used for scraping tables for PDFs - sourced from the Ministry of Education -
-
+
Open Source
+This project is open source & is accepting contributions.
++ Repository (Web): Contains the source code of the web app (SvelteKit) +
++ Repository (PDF Scraper): Contains miscallaneous scripts used for scraping tables for PDFs + sourced from the Ministry of Education +
+
-
-
- Movement
-
-
-
+
+
-
-
-
+
+
+ Movement
+
+
+
-
-
+
+
+
+
+
-
-
-
-
-
+
+
+
+
+
-
-
-
-
-
- Winners and Losers
-
+
+
+
+ Winners and Losers
+
-
diff --git a/src/routes/movement/+page.ts b/src/routes/movement/+page.ts
index 2dcc5a5..1daf53b 100644
--- a/src/routes/movement/+page.ts
+++ b/src/routes/movement/+page.ts
@@ -3,11 +3,11 @@ import { PREV_YEAR } from "$lib/constants";
import type { YearlyRecord } from "$lib/types.js";
export function load({ url }) {
- const year = Number(url.searchParams.get("year")) || PREV_YEAR;
- const lag = Number(url.searchParams.get("lag")) || 1;
- const metric = (url.searchParams.get("metric") ||
- "gross_monthly_median") as keyof YearlyRecord;
+ const year = Number(url.searchParams.get("year")) || PREV_YEAR;
+ const lag = Number(url.searchParams.get("lag")) || 1;
+ const metric = (url.searchParams.get("metric") ||
+ "gross_monthly_median") as keyof YearlyRecord;
- const { best, worst } = getMovement(year, 1000000, 1000000, lag, metric);
- return { best, worst, year, lag, metric };
+ const { best, worst } = getMovement(year, 1000000, 1000000, lag, metric);
+ return { best, worst, year, lag, metric };
}
diff --git a/src/routes/search/+page.svelte b/src/routes/search/+page.svelte
index 8cad195..7e1c76d 100644
--- a/src/routes/search/+page.svelte
+++ b/src/routes/search/+page.svelte
@@ -1,6 +1,6 @@
-
-
-
- {:else}
-
-
-
- {#if data.best.length > 0}
- Winners
-| University | -School | -Degree | -Gain (%) | -
|---|---|---|---|
| {long2short[row.university]} | -{row.school ?? "-"} | -- {row.degree} - | -{row.pctChange.toFixed(2)} | -
😢 no winners 😢
- {/if}
-
-
-
-
- {:else}
-
+
-
- {#if data.worst.length > 0}
- Losers
-| University | -School | -Degree | -Loss (%) | -
|---|---|---|---|
| {long2short[row.university]} | -{row.school ?? "-"} | -- {row.degree} - | -{row.pctChange.toFixed(2)} | -
🎉 no losers 🎉
- {/if}
-
+
+
+
+ {:else}
+
+
+
+ {#if data.best.length > 0}
+ Winners
+| University | +School | +Degree | +Gain (%) | +
|---|---|---|---|
| {long2short[row.university]} | +{row.school ?? "-"} | ++ {row.degree} + | +{row.pctChange.toFixed(2)} | +
😢 no winners 😢
+ {/if}
+
+
+
+
+ {:else}
+
+
+ {#if data.worst.length > 0}
+ Losers
+| University | +School | +Degree | +Loss (%) | +
|---|---|---|---|
| {long2short[row.university]} | +{row.school ?? "-"} | ++ {row.degree} + | +{row.pctChange.toFixed(2)} | +
🎉 no losers 🎉
+ {/if}
+