From b3428b0fe4ad3ba162e0230d58b3485f611ffb05 Mon Sep 17 00:00:00 2001 From: Hew Li Yang Date: Wed, 30 Oct 2024 17:34:50 +0800 Subject: [PATCH 1/3] chore: next --- package.json | 24 +- pnpm-lock.yaml | 3831 ++++++++++++++----------- src/{app.pcss => app.css} | 4 + src/lib/components/Search.svelte | 81 +- src/lib/components/Sparkline.svelte | 1 - src/routes/+layout.svelte | 52 +- src/routes/+page.svelte | 49 +- src/routes/degree/[slug]/+page.svelte | 52 +- src/routes/disclaimers/+page.svelte | 225 +- 9 files changed, 2357 insertions(+), 1962 deletions(-) rename src/{app.pcss => app.css} (95%) diff --git a/package.json b/package.json index 225bbcf..cbe15a3 100644 --- a/package.json +++ b/package.json @@ -10,23 +10,23 @@ "check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch" }, "devDependencies": { - "@sveltejs/adapter-auto": "^3.0.0", - "@sveltejs/kit": "^2.0.0", - "@sveltejs/vite-plugin-svelte": "^3.0.0", + "@sveltejs/adapter-auto": "^3.1.1", + 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1.22.8 + sucrase: 3.35.0 + transitivePeerDependencies: + - ts-node + + thenify-all@1.6.0: + dependencies: + thenify: 3.3.1 + + thenify@3.3.1: + dependencies: + any-promise: 1.3.0 + + three@0.135.0: {} + + throttle-debounce@5.0.0: {} + + tiny-glob@0.2.9: + dependencies: + globalyzer: 0.1.0 + globrex: 0.1.2 + + tinyqueue@2.0.3: {} + + to-fast-properties@2.0.0: {} + + to-px@1.1.0: + dependencies: + parse-unit: 1.0.1 + + to-regex-range@5.0.1: + dependencies: + is-number: 7.0.0 + + topojson-client@3.1.0: + dependencies: + commander: 2.20.3 + + totalist@3.0.1: {} + + ts-interface-checker@0.1.13: {} + + tslib@2.6.2: {} + + typescript@5.4.2: {} + + update-browserslist-db@1.0.13(browserslist@4.23.0): + dependencies: + browserslist: 4.23.0 + escalade: 3.1.2 + picocolors: 1.0.0 + + util-deprecate@1.0.2: {} + + vite@5.1.6: + dependencies: + esbuild: 0.19.12 + postcss: 8.4.35 + rollup: 4.13.0 + optionalDependencies: + fsevents: 2.3.3 + + vitefu@0.2.5(vite@5.1.6): + optionalDependencies: + vite: 5.1.6 + + vt-pbf@3.1.3: + dependencies: + '@mapbox/point-geometry': 0.1.0 + '@mapbox/vector-tile': 1.3.1 + pbf: 3.2.1 + + which@1.3.1: + dependencies: + isexe: 2.0.0 + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + wrap-ansi@7.0.0: + dependencies: + ansi-styles: 4.3.0 + string-width: 4.2.3 + strip-ansi: 6.0.1 + + wrap-ansi@8.1.0: + dependencies: + ansi-styles: 6.2.1 + string-width: 5.1.2 + strip-ansi: 7.1.0 + + wrappy@1.0.2: {} + + yaml@1.10.2: {} + + yaml@2.4.1: {} diff --git a/src/app.pcss b/src/app.css similarity index 95% rename from src/app.pcss rename to src/app.css index b949a3c..9dafca7 100644 --- a/src/app.pcss +++ b/src/app.css @@ -33,3 +33,7 @@ kbd { 0.7 ); /* Slightly darker gray on hover */ } + +:root { + --vis-font-family: monospace; +} diff --git a/src/lib/components/Search.svelte b/src/lib/components/Search.svelte index fc92b44..1d6b046 100644 --- a/src/lib/components/Search.svelte +++ b/src/lib/components/Search.svelte @@ -47,7 +47,7 @@
@@ -58,32 +58,39 @@ on:click={show} on:input={show} value={query} + placeholder="Search..." + class="w-full placeholder:text-sm focus:outline-none" /> {#if browser && !query && !visible} - {#if navigator.userAgent.includes("Macintosh")} - Cmd + K - {:else} - Ctrl + K - {/if} + {/if}
{#if visible} - - - From 13ffccd8feac27c21ed2929dac2412c59734b67b Mon Sep 17 00:00:00 2001 From: Hew Li Yang Date: Wed, 30 Oct 2024 19:08:28 +0800 Subject: [PATCH 2/3] remove unused deps --- package.json | 5 ---- pnpm-lock.yaml | 35 ---------------------- src/lib/components/Export.svelte | 26 +++++++++++++--- src/lib/download.ts | 43 +++++++++++++++++++++++---- src/routes/+layout.svelte | 1 - src/routes/+page.svelte | 2 +- src/routes/degree/[slug]/+page.svelte | 2 +- tailwind.config.cjs | 16 ---------- tailwind.config.ts | 13 ++++++++ 9 files changed, 75 insertions(+), 68 deletions(-) delete mode 100644 tailwind.config.cjs create mode 100644 tailwind.config.ts diff --git a/package.json b/package.json index cbe15a3..3493838 100644 --- a/package.json +++ b/package.json @@ -13,9 +13,6 @@ "@sveltejs/adapter-auto": "^3.1.1", "@sveltejs/kit": "^2.5.3", "@sveltejs/vite-plugin-svelte": "^3.0.2", - "@types/d3": "^7.4.3", - "@types/file-saver": "^2.0.7", - "@types/katex": "^0.16.7", "@types/lodash": "^4.17.0", "@vincjo/datatables": "^1.14.5", "autoprefixer": "^10.4.18", @@ -30,10 +27,8 @@ }, "type": "module", "dependencies": { - "@fontsource-variable/inter": "^5.0.18", "@unovis/svelte": "1.3.6-beta.0", "@unovis/ts": "1.3.6-beta.0", - "file-saver": "^2.0.5", "lodash": "^4.17.21", "lucide-svelte": "^0.368.0" } diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index b6a9c23..a00f0a5 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -8,18 +8,12 @@ importers: .: dependencies: - '@fontsource-variable/inter': - specifier: ^5.0.18 - version: 5.0.18 '@unovis/svelte': specifier: 1.3.6-beta.0 version: 1.3.6-beta.0(@unovis/ts@1.3.6-beta.0)(svelte@4.2.12) '@unovis/ts': specifier: 1.3.6-beta.0 version: 1.3.6-beta.0 - file-saver: - specifier: ^2.0.5 - version: 2.0.5 lodash: specifier: ^4.17.21 version: 4.17.21 @@ -36,15 +30,6 @@ importers: '@sveltejs/vite-plugin-svelte': specifier: ^3.0.2 version: 3.0.2(svelte@4.2.12)(vite@5.1.6) - '@types/d3': - specifier: ^7.4.3 - version: 7.4.3 - '@types/file-saver': - specifier: ^2.0.7 - version: 2.0.7 - '@types/katex': - specifier: ^0.16.7 - version: 0.16.7 '@types/lodash': specifier: ^4.17.0 version: 4.17.0 @@ -285,9 +270,6 @@ packages: cpu: [x64] os: [win32] - '@fontsource-variable/inter@5.0.18': - resolution: {integrity: sha512-rJzSrtJ3b7djiGFvRuTe6stDfbYJGhdQSfn2SI2WfXviee7Er0yKAHE5u7FU7OWVQQQ1x3+cxdmx9NdiAkcrcA==} - '@isaacs/cliui@8.0.2': resolution: {integrity: sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==} engines: {node: '>=12'} @@ -567,15 +549,9 @@ packages: '@types/estree@1.0.5': resolution: {integrity: sha512-/kYRxGDLWzHOB7q+wtSUQlFrtcdUccpfy+X+9iMBpHK8QLLhx2wIPYuS5DYtR9Wa/YlZAbIovy7qVdB1Aq6Lyw==} - '@types/file-saver@2.0.7': - resolution: {integrity: sha512-dNKVfHd/jk0SkR/exKGj2ggkB45MAkzvWCaqLUUgkyjITkGNzH8H+yUwr+BLJUBjZOe9w8X3wgmXhZDRg1ED6A==} - '@types/geojson@7946.0.14': resolution: {integrity: sha512-WCfD5Ht3ZesJUsONdhvm84dmzWOiOzOAqOncN0++w0lBw1o8OuDNJF2McvvCef/yBqb/HYRahp1BYtODFQ8bRg==} - '@types/katex@0.16.7': - resolution: {integrity: sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ==} - '@types/leaflet@1.7.6': resolution: {integrity: sha512-Emkz3V08QnlelSbpT46OEAx+TBZYTOX2r1yM7W+hWg5+djHtQ1GbEXBDRLaqQDOYcDI51Ss0ayoqoKD4CtLUDA==} @@ -1034,9 +1010,6 @@ packages: fastq@1.17.1: resolution: {integrity: sha512-sRVD3lWVIXWg6By68ZN7vho9a1pQcN/WBFaAAsDDFzlJjvoGx0P8z7V1t72grFJfJhu3YPZBuu25f7Kaw2jN1w==} - file-saver@2.0.5: - resolution: {integrity: sha512-P9bmyZ3h/PRG+Nzga+rbdI4OEpNDzAVyy74uVO9ATgzLK6VtAsYybF/+TOCvrc0MO793d6+42lLyZTw7/ArVzA==} - fill-range@7.0.1: resolution: {integrity: sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==} engines: {node: '>=8'} @@ -1902,8 +1875,6 @@ snapshots: '@esbuild/win32-x64@0.19.12': optional: true - '@fontsource-variable/inter@5.0.18': {} - '@isaacs/cliui@8.0.2': dependencies: string-width: 5.1.2 @@ -2190,12 +2161,8 @@ snapshots: '@types/estree@1.0.5': {} - '@types/file-saver@2.0.7': {} - '@types/geojson@7946.0.14': {} - '@types/katex@0.16.7': {} - '@types/leaflet@1.7.6': dependencies: '@types/geojson': 7946.0.14 @@ -2725,8 +2692,6 @@ snapshots: dependencies: reusify: 1.0.4 - file-saver@2.0.5: {} - fill-range@7.0.1: dependencies: to-regex-range: 5.0.1 diff --git a/src/lib/components/Export.svelte b/src/lib/components/Export.svelte index ff83ed4..91cc4a9 100644 --- a/src/lib/components/Export.svelte +++ b/src/lib/components/Export.svelte @@ -1,24 +1,42 @@
+ {#if loading} + + {/if}
diff --git a/src/lib/download.ts b/src/lib/download.ts index daa9e9b..eb72b6e 100644 --- a/src/lib/download.ts +++ b/src/lib/download.ts @@ -1,7 +1,22 @@ -import saveAs from "file-saver"; import { browser } from "$app/environment"; -export function downloadAsJSON(rows: any[], fileName: string = "data") { +function saveAs(url: string, fileName: string) { + if (!browser) return; + const a = document.createElement("a"); + a.href = url; + a.download = fileName; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); +} + +const DEFAULT_FILE_NAME = "data"; + +export function downloadAsJSON( + rows: any[], + fileName: string = DEFAULT_FILE_NAME +) { if (!browser) return; const blob = new Blob([JSON.stringify(rows, null, 4)], { @@ -11,7 +26,10 @@ export function downloadAsJSON(rows: any[], fileName: string = "data") { saveAs(url, `${fileName}.json`); } -export function downloadAsCSV(rows: any[], fileName: string = "data") { +export function downloadAsCSV( + rows: any[], + fileName: string = DEFAULT_FILE_NAME +) { if (!browser) return; if (rows.length === 0) return; const headers = Object.keys(rows[0]).join(","); @@ -31,6 +49,21 @@ export function downloadAsCSV(rows: any[], fileName: string = "data") { saveAs(url, `${fileName}.csv`); } -export function downloadFromURL(url: string, fileName: string = "studywhat") { - saveAs(url, `${fileName}.json`); +export async function downloadFromURL( + url: string, + fileName: string = "studywhat" +) { + if (!browser) return; + + const response = await fetch(url); + if (!response.ok) { + throw new Error(`Failed to fetch data from ${url}`); + } + + const data = await response.json(); + const blob = new Blob([JSON.stringify(data, null, 4)], { + type: "application/json", + }); + const blobUrl = URL.createObjectURL(blob); + saveAs(blobUrl, `${fileName}.json`); } diff --git a/src/routes/+layout.svelte b/src/routes/+layout.svelte index aed6c37..bd7c4c5 100644 --- a/src/routes/+layout.svelte +++ b/src/routes/+layout.svelte @@ -1,6 +1,5 @@
- - - {#if loading} - - {/if} + + + {#if loading} + + {/if}
diff --git a/src/lib/components/Histogram.svelte b/src/lib/components/Histogram.svelte index fcf148b..b89f82c 100644 --- a/src/lib/components/Histogram.svelte +++ b/src/lib/components/Histogram.svelte @@ -1,80 +1,80 @@
- - -
- - - - - - - - - - - - - - - -
Median{statMedian.toFixed(2)}
Mean{statMean.toFixed(2)}
Std Dev{statStd.toFixed(2)}
-
- - - 375 ? histData.length : histData.length / 2} - gridLine={true} - tickTextWidth={30} - {tickFormat} - /> - - + + +
+ + + + + + + + + + + + + + + +
Median{statMedian.toFixed(2)}
Mean{statMean.toFixed(2)}
Std Dev{statStd.toFixed(2)}
+
+ + + 375 ? histData.length : histData.length / 2} + gridLine={true} + tickTextWidth={30} + {tickFormat} + /> + +
diff --git a/src/lib/components/Metric.svelte b/src/lib/components/Metric.svelte index ccef0ba..01973a1 100644 --- a/src/lib/components/Metric.svelte +++ b/src/lib/components/Metric.svelte @@ -4,45 +4,45 @@ Takes a time series, gets the latest 2 records and computes the delta. -->
-

{title}

- {#if isEnoughData} -
{valueAtT}{ext}
-

- {sign}{(valueAtT - valueAtTMinusOne).toLocaleString()}{ext} ({sign}{pctChange.toFixed( - 2 - )}%) -

- {:else} -
N/A
- {/if} +

{title}

+ {#if isEnoughData} +
{valueAtT}{ext}
+

+ {sign}{(valueAtT - valueAtTMinusOne).toLocaleString()}{ext} ({sign}{pctChange.toFixed( + 2, + )}%) +

+ {:else} +
N/A
+ {/if}
diff --git a/src/lib/components/Search.svelte b/src/lib/components/Search.svelte index 1d6b046..9755355 100644 --- a/src/lib/components/Search.svelte +++ b/src/lib/components/Search.svelte @@ -1,115 +1,115 @@ { - if (e.key === "Escape") { - hide(); - } + on:keydown={(e) => { + if (e.key === "Escape") { + hide(); + } - if (e.key === "k" && (e.metaKey || e.ctrlKey)) { - visible = true; - e.preventDefault(); - } - }} + if (e.key === "k" && (e.metaKey || e.ctrlKey)) { + visible = true; + e.preventDefault(); + } + }} />
-
-
- -
- - {#if browser && !query && !visible} - - {/if} -
+
+
+ +
+ + {#if browser && !query && !visible} + + {/if} +
{#if visible} - {/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} - + {:else} - No results + No results {/if} diff --git a/src/lib/components/Sparkline.svelte b/src/lib/components/Sparkline.svelte index d68a44f..673d3de 100644 --- a/src/lib/components/Sparkline.svelte +++ b/src/lib/components/Sparkline.svelte @@ -1,16 +1,16 @@ -
-
{long2short[record.university]}
-
{record.degree}
-
- {record.pctChange > 0 ? "+" : ""}{record.pctChange.toFixed(2)}% -
-
- - - 0 ? "green" : "red"} - lineWidth={1.1} - curveType={CurveType.Linear} - /> - d.year - 0.05} - y={(d) => d.value} - /> - d.year - 0.05} - y={(d) => d.value} - /> - +
+
{long2short[record.university]}
+
{record.degree}
+
+ {record.pctChange > 0 ? "+" : ""}{record.pctChange.toFixed(2)}% +
+
+ + + 0 ? "green" : "red"} + lineWidth={1.1} + curveType={CurveType.Linear} + /> + d.year - 0.05} + y={(d) => d.value} + /> + d.year - 0.05} + y={(d) => d.value} + /> + diff --git a/src/lib/components/Umami.svelte b/src/lib/components/Umami.svelte index eb17b85..9fc7cc0 100644 --- a/src/lib/components/Umami.svelte +++ b/src/lib/components/Umami.svelte @@ -1,13 +1,13 @@ - {#if !dev} - - {/if} + {#if !dev} + + {/if} diff --git a/src/lib/constants.ts b/src/lib/constants.ts index eb1592b..4289c28 100644 --- a/src/lib/constants.ts +++ b/src/lib/constants.ts @@ -3,47 +3,47 @@ import { ntu, nus, sutd, sit, smu, suss } from "$lib/logos"; // institution names export const short2long: Record = { - SUSS: "Singapore University of Social Sciences", - SUTD: "Singapore University of Technology and Design", - SIT: "Singapore Institute of Technology", - SMU: "Singapore Management University", - NUS: "National University of Singapore", - NTU: "Nanyang Technological University", + SUSS: "Singapore University of Social Sciences", + SUTD: "Singapore University of Technology and Design", + SIT: "Singapore Institute of Technology", + SMU: "Singapore Management University", + NUS: "National University of Singapore", + NTU: "Nanyang Technological University", }; export const long2short = Object.fromEntries( - Object.entries(short2long).map(([k, v]) => [v, k]) + Object.entries(short2long).map(([k, v]) => [v, k]), ); export const short2img: Record = { - SUSS: suss, - SUTD: sutd, - SIT: sit, - SMU: smu, - NUS: nus, - NTU: ntu, + SUSS: suss, + SUTD: sutd, + SIT: sit, + SMU: smu, + NUS: nus, + NTU: ntu, }; export const PREV_YEAR = new Date().getFullYear() - 1; export const YEARS = Array.from( - { length: PREV_YEAR + 1 - 2009 }, - (_, i) => 2009 + i + { length: PREV_YEAR + 1 - 2009 }, + (_, i) => 2009 + i, ); // color palletes export const palette = [ - "#04c0c7", - "#e7871a", - "#da348f", - "#9089fa", - "#47e26f", - "#2780eb", - "#6f38b1", - "#268d6c", - "#d11d55", - "#ffcc00", - "#a0d6e5", - "#f45a6d", + "#04c0c7", + "#e7871a", + "#da348f", + "#9089fa", + "#47e26f", + "#2780eb", + "#6f38b1", + "#268d6c", + "#d11d55", + "#ffcc00", + "#a0d6e5", + "#f45a6d", ]; diff --git a/src/lib/data.json b/src/lib/data.json index e399f4c..07a8a09 100644 --- a/src/lib/data.json +++ b/src/lib/data.json @@ -1,18241 +1,18241 @@ [ - { - "university": "Nanyang Technological University", - "degree": "Accountancy", - "school": "College of Business (Nanyang Business School)", - "slug": "accountancy-ntu", - "data": [ - { - "year": 2016, - "employment_rate_overall": 97.3, - "employment_rate_ft_perm": 95.1, - "basic_monthly_mean": 3027.0, - "basic_monthly_median": 2900.0, - "gross_monthly_mean": 3063.0, - "gross_monthly_median": 2900.0, - "gross_mthly_25_percentile": 2900.0, - "gross_mthly_75_percentile": 3100.0 - }, - { - "year": 2017, - "employment_rate_overall": 97.1, - "employment_rate_ft_perm": 94.5, - "basic_monthly_mean": 3121.0, - "basic_monthly_median": 3000.0, - "gross_monthly_mean": 3166.0, - "gross_monthly_median": 3000.0, - "gross_mthly_25_percentile": 2900.0, - "gross_mthly_75_percentile": 3100.0 - }, - { - "year": 2018, - "employment_rate_overall": 94.6, - "employment_rate_ft_perm": 92.2, - "basic_monthly_mean": 3214.0, - "basic_monthly_median": 3000.0, - "gross_monthly_mean": 3245.0, - "gross_monthly_median": 3000.0, - "gross_mthly_25_percentile": 3000.0, - "gross_mthly_75_percentile": 3200.0 - }, - { - "year": 2019, - "employment_rate_overall": 97.5, - "employment_rate_ft_perm": 94.0, - "basic_monthly_mean": 3220.0, - "basic_monthly_median": 3000.0, - "gross_monthly_mean": 3254.0, - "gross_monthly_median": 3000.0, - "gross_mthly_25_percentile": 3000.0, - "gross_mthly_75_percentile": 3200.0 - }, - { - "year": 2020, - "employment_rate_overall": 96.0, - "employment_rate_ft_perm": 88.7, - "basic_monthly_mean": 3213.0, - "basic_monthly_median": 3000.0, - "gross_monthly_mean": 3228.0, - "gross_monthly_median": 3000.0, - "gross_mthly_25_percentile": 3000.0, - "gross_mthly_75_percentile": 3100.0 - }, - { - "year": 2021, - "employment_rate_overall": 97.7, - "employment_rate_ft_perm": 93.0, - "basic_monthly_mean": 3505.0, - "basic_monthly_median": 3300.0, - "gross_monthly_mean": 3539.0, - "gross_monthly_median": 3400.0, - "gross_mthly_25_percentile": 3100.0, - "gross_mthly_75_percentile": 3500.0 - }, - { - "year": 2022, - "employment_rate_overall": 98.3, - "employment_rate_ft_perm": 97.6, - "basic_monthly_mean": 3965.0, - "basic_monthly_median": 3600.0, - "gross_monthly_mean": 4031.0, - "gross_monthly_median": 3600.0, - "gross_mthly_25_percentile": 3600.0, - "gross_mthly_75_percentile": 4300.0 - }, - { - "year": 2023, - "employment_rate_overall": 96.6, - "employment_rate_ft_perm": 95.5, - "basic_monthly_mean": 4067.0, - "basic_monthly_median": 3600.0, - "gross_monthly_mean": 4119.0, - "gross_monthly_median": 3600.0, - "gross_mthly_25_percentile": 3600.0, - "gross_mthly_75_percentile": 4000.0 - } - ] - }, - { - "university": "Nanyang Technological University", - "degree": "Accountancy (3-yr direct Honours Programme)", - "school": "College of Business (Nanyang Business School)", - "slug": "accountancy-3-yr-direct-honours-programme-ntu", - "data": [ - { - "year": 2009, - "employment_rate_overall": 91.3, - "employment_rate_ft_perm": 90.0, - "basic_monthly_mean": null, - "basic_monthly_median": null, - "gross_monthly_mean": 2529.0, - "gross_monthly_median": 2400.0, - "gross_mthly_25_percentile": 2400.0, - "gross_mthly_75_percentile": 2500.0 - }, - { - "year": 2010, - "employment_rate_overall": 97.4, - "employment_rate_ft_perm": 97.0, - "basic_monthly_mean": null, - "basic_monthly_median": null, - "gross_monthly_mean": 2778, - "gross_monthly_median": 2600, - "gross_mthly_25_percentile": 2600, - "gross_mthly_75_percentile": 2775 - }, - { - "year": 2011, - "employment_rate_overall": 97.5, - "employment_rate_ft_perm": 96.3, - "basic_monthly_mean": 2819.0, - "basic_monthly_median": 2700.0, - "gross_monthly_mean": 2900.0, - "gross_monthly_median": 2700.0, - "gross_mthly_25_percentile": 2700.0, - "gross_mthly_75_percentile": 2900.0 - }, - { - "year": 2012, - "employment_rate_overall": 97.6, - "employment_rate_ft_perm": 96.5, - "basic_monthly_mean": 2924.0, - "basic_monthly_median": 2700.0, - "gross_monthly_mean": 2969.0, - "gross_monthly_median": 2720.0, - "gross_mthly_25_percentile": 2700.0, - "gross_mthly_75_percentile": 3000.0 - }, - { - "year": 2013, - "employment_rate_overall": 97.1, - "employment_rate_ft_perm": 95.7, - "basic_monthly_mean": 2850.0, - "basic_monthly_median": 2700.0, - "gross_monthly_mean": 2938.0, - "gross_monthly_median": 2700.0, - "gross_mthly_25_percentile": 2700.0, - "gross_mthly_75_percentile": 2900.0 - }, - { - "year": 2014, - "employment_rate_overall": 96.6, - "employment_rate_ft_perm": 96.1, - "basic_monthly_mean": 2981.0, - "basic_monthly_median": 2800.0, - "gross_monthly_mean": 3003.0, - "gross_monthly_median": 2840.0, - "gross_mthly_25_percentile": 2700.0, - "gross_mthly_75_percentile": 3000.0 - }, - { - "year": 2015, - "employment_rate_overall": 97.3, - "employment_rate_ft_perm": 96.5, - "basic_monthly_mean": 3182.0, - "basic_monthly_median": 2850.0, - "gross_monthly_mean": 3240.0, - "gross_monthly_median": 2875.0, - "gross_mthly_25_percentile": 2850.0, - "gross_mthly_75_percentile": 3125.0 - } - ] - }, - { - "university": "Nanyang Technological University", - "degree": "Accountancy and Business", - "school": "College of Business (Nanyang Business School)", - "slug": "accountancy-and-business-ntu", - "data": [ - { - "year": 2012, - "employment_rate_overall": 96.9, - "employment_rate_ft_perm": 95.9, - "basic_monthly_mean": 3411.0, - "basic_monthly_median": 3250.0, - "gross_monthly_mean": 3464.0, - "gross_monthly_median": 3380.0, - "gross_mthly_25_percentile": 2863.0, - "gross_mthly_75_percentile": 3750.0 - }, - { - "year": 2013, - "employment_rate_overall": 97.4, - "employment_rate_ft_perm": 96.1, - "basic_monthly_mean": 3701.0, - "basic_monthly_median": 3200.0, - "gross_monthly_mean": 3727.0, - "gross_monthly_median": 3350.0, - "gross_mthly_25_percentile": 2900.0, - "gross_mthly_75_percentile": 4000.0 - }, - { - "year": 2014, - "employment_rate_overall": 98.2, - "employment_rate_ft_perm": 95.6, - "basic_monthly_mean": 3539.0, - "basic_monthly_median": 3300.0, - "gross_monthly_mean": 3597.0, - "gross_monthly_median": 3300.0, - "gross_mthly_25_percentile": 2900.0, - "gross_mthly_75_percentile": 4000.0 - }, - { - "year": 2015, - "employment_rate_overall": 98.6, - "employment_rate_ft_perm": 97.3, - "basic_monthly_mean": 4225.0, - "basic_monthly_median": 3500.0, - "gross_monthly_mean": 4438.0, - "gross_monthly_median": 3770.0, - "gross_mthly_25_percentile": 3000.0, - "gross_mthly_75_percentile": 4850.0 - }, - { - "year": 2016, - "employment_rate_overall": 97.4, - "employment_rate_ft_perm": 96.6, - "basic_monthly_mean": 3836.0, - "basic_monthly_median": 3500.0, - "gross_monthly_mean": 3893.0, - "gross_monthly_median": 3500.0, - "gross_mthly_25_percentile": 3100.0, - "gross_mthly_75_percentile": 4250.0 - }, - { - "year": 2017, - "employment_rate_overall": 97.2, - "employment_rate_ft_perm": 94.3, - "basic_monthly_mean": 3830.0, - "basic_monthly_median": 3500.0, - "gross_monthly_mean": 3892.0, - "gross_monthly_median": 3600.0, - "gross_mthly_25_percentile": 3013.0, - "gross_mthly_75_percentile": 4317.0 - }, - { - "year": 2018, - "employment_rate_overall": 99.2, - "employment_rate_ft_perm": 97.7, - "basic_monthly_mean": 4391.0, - "basic_monthly_median": 4000.0, - "gross_monthly_mean": 4456.0, - "gross_monthly_median": 4000.0, - "gross_mthly_25_percentile": 3600.0, - "gross_mthly_75_percentile": 4633.0 - }, - { - "year": 2019, - "employment_rate_overall": 97.9, - "employment_rate_ft_perm": 95.2, - "basic_monthly_mean": 4284.0, - "basic_monthly_median": 4000.0, - "gross_monthly_mean": 4359.0, - "gross_monthly_median": 4000.0, - "gross_mthly_25_percentile": 3200.0, - "gross_mthly_75_percentile": 4600.0 - }, - { - "year": 2020, - "employment_rate_overall": 97.6, - "employment_rate_ft_perm": 91.3, - "basic_monthly_mean": 4615.0, - "basic_monthly_median": 4327.0, - "gross_monthly_mean": 4704.0, - "gross_monthly_median": 4405.0, - "gross_mthly_25_percentile": 3500.0, - "gross_mthly_75_percentile": 5000.0 - }, - { - "year": 2021, - "employment_rate_overall": 99.2, - "employment_rate_ft_perm": 96.2, - "basic_monthly_mean": 5018.0, - "basic_monthly_median": 4500.0, - "gross_monthly_mean": 5173.0, - "gross_monthly_median": 4500.0, - "gross_mthly_25_percentile": 3700.0, - "gross_mthly_75_percentile": 5858.0 - }, - { - "year": 2022, - "employment_rate_overall": 98.0, - "employment_rate_ft_perm": 96.9, - "basic_monthly_mean": 5473.0, - "basic_monthly_median": 4833.0, - "gross_monthly_mean": 5580.0, - "gross_monthly_median": 4942.0, - "gross_mthly_25_percentile": 4167.0, - "gross_mthly_75_percentile": 6230.0 - }, - { - "year": 2023, - "employment_rate_overall": 97.2, - "employment_rate_ft_perm": 95.4, - "basic_monthly_mean": 4957.0, - "basic_monthly_median": 4500.0, - "gross_monthly_mean": 5030.0, - "gross_monthly_median": 4650.0, - "gross_mthly_25_percentile": 4000.0, - "gross_mthly_75_percentile": 5344.0 - } - ] - }, - { - "university": "Nanyang Technological University", - "degree": "Aerospace Engineering", - "school": "College of Engineering", - "slug": "aerospace-engineering-ntu", - "data": [ - { - "year": 2009, - "employment_rate_overall": 83.3, - "employment_rate_ft_perm": 80.3, - "basic_monthly_mean": null, - "basic_monthly_median": null, - "gross_monthly_mean": 3066.0, - "gross_monthly_median": 3000.0, - "gross_mthly_25_percentile": 2750.0, - "gross_mthly_75_percentile": 3250.0 - }, - { - "year": 2010, - "employment_rate_overall": 98.0, - "employment_rate_ft_perm": 95.9, - "basic_monthly_mean": null, - "basic_monthly_median": null, - "gross_monthly_mean": 3344, - "gross_monthly_median": 3200, - "gross_mthly_25_percentile": 2750, - "gross_mthly_75_percentile": 3800 - }, - { - "year": 2011, - "employment_rate_overall": 89.9, - "employment_rate_ft_perm": 88.9, - "basic_monthly_mean": 3419.0, - "basic_monthly_median": 3500.0, - "gross_monthly_mean": 3489.0, - "gross_monthly_median": 3500.0, - "gross_mthly_25_percentile": 3100.0, - "gross_mthly_75_percentile": 3900.0 - }, - { - "year": 2012, - "employment_rate_overall": 87.1, - "employment_rate_ft_perm": 87.1, - "basic_monthly_mean": 3443.0, - "basic_monthly_median": 3300.0, - "gross_monthly_mean": 3578.0, - "gross_monthly_median": 3500.0, - "gross_mthly_25_percentile": 3025.0, - "gross_mthly_75_percentile": 3809.0 - }, - { - "year": 2013, - "employment_rate_overall": 95.3, - "employment_rate_ft_perm": 95.3, - "basic_monthly_mean": 3494.0, - "basic_monthly_median": 3500.0, - "gross_monthly_mean": 3536.0, - "gross_monthly_median": 3500.0, - "gross_mthly_25_percentile": 3100.0, - "gross_mthly_75_percentile": 3816.0 - }, - { - "year": 2014, - "employment_rate_overall": 84.6, - "employment_rate_ft_perm": 82.7, - "basic_monthly_mean": 3715.0, - "basic_monthly_median": 3700.0, - "gross_monthly_mean": 3911.0, - "gross_monthly_median": 3770.0, - "gross_mthly_25_percentile": 3300.0, - "gross_mthly_75_percentile": 4070.0 - }, - { - "year": 2015, - "employment_rate_overall": 86.0, - "employment_rate_ft_perm": 86.0, - "basic_monthly_mean": 3699.0, - "basic_monthly_median": 3650.0, - "gross_monthly_mean": 3724.0, - "gross_monthly_median": 3700.0, - "gross_mthly_25_percentile": 3450.0, - "gross_mthly_75_percentile": 4000.0 - }, - { - "year": 2016, - "employment_rate_overall": 82.4, - "employment_rate_ft_perm": 77.9, - "basic_monthly_mean": 3761.0, - "basic_monthly_median": 3625.0, - "gross_monthly_mean": 3840.0, - "gross_monthly_median": 3675.0, - "gross_mthly_25_percentile": 3350.0, - "gross_mthly_75_percentile": 4435.0 - }, - { - "year": 2017, - "employment_rate_overall": 80.0, - "employment_rate_ft_perm": 75.0, - "basic_monthly_mean": 3645.0, - "basic_monthly_median": 3492.0, - "gross_monthly_mean": 3702.0, - "gross_monthly_median": 3500.0, - "gross_mthly_25_percentile": 3250.0, - "gross_mthly_75_percentile": 4210.0 - }, - { - "year": 2018, - "employment_rate_overall": 95.3, - "employment_rate_ft_perm": 88.4, - "basic_monthly_mean": 3710.0, - "basic_monthly_median": 3625.0, - "gross_monthly_mean": 3873.0, - "gross_monthly_median": 3800.0, - "gross_mthly_25_percentile": 3365.0, - "gross_mthly_75_percentile": 4280.0 - }, - { - "year": 2019, - "employment_rate_overall": 87.5, - "employment_rate_ft_perm": 80.7, - "basic_monthly_mean": 3816.0, - "basic_monthly_median": 3700.0, - "gross_monthly_mean": 3939.0, - "gross_monthly_median": 3800.0, - "gross_mthly_25_percentile": 3500.0, - "gross_mthly_75_percentile": 4600.0 - }, - { - "year": 2020, - "employment_rate_overall": 91.2, - "employment_rate_ft_perm": 75.8, - "basic_monthly_mean": 4110.0, - "basic_monthly_median": 3980.0, - "gross_monthly_mean": 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"employment_rate_ft_perm": 100.0, + "basic_monthly_mean": 4146.0, + "basic_monthly_median": 4000.0, + "gross_monthly_mean": 4175.0, + "gross_monthly_median": 4023.0, + "gross_mthly_25_percentile": 3600.0, + "gross_mthly_75_percentile": 4900.0 + }, + { + "year": 2018, + "employment_rate_overall": 97.3, + "employment_rate_ft_perm": 93.3, + "basic_monthly_mean": 4448.0, + "basic_monthly_median": 4300.0, + "gross_monthly_mean": 4544.0, + "gross_monthly_median": 4400.0, + "gross_mthly_25_percentile": 4000.0, + "gross_mthly_75_percentile": 5000.0 + }, + { + "year": 2019, + "employment_rate_overall": 88.8, + "employment_rate_ft_perm": 85.7, + "basic_monthly_mean": 4599.0, + "basic_monthly_median": 4400.0, + "gross_monthly_mean": 4636.0, + "gross_monthly_median": 4400.0, + "gross_mthly_25_percentile": 3800.0, + "gross_mthly_75_percentile": 5000.0 + }, + { + "year": 2020, + "employment_rate_overall": 96.9, + "employment_rate_ft_perm": 85.4, + "basic_monthly_mean": 4581.0, + "basic_monthly_median": 4500.0, + "gross_monthly_mean": 4734.0, + "gross_monthly_median": 4500.0, + "gross_mthly_25_percentile": 4000.0, + "gross_mthly_75_percentile": 5000.0 + } + ] + }, + { + "university": "Singapore University of Technology and Design", + "degree": "Bachelor of Science (Architecture and Sustainable Design)", + "school": null, + "slug": "bachelor-of-science-architecture-and-sustainable-design-sutd", + "data": [ + { + "year": 2018, + "employment_rate_overall": 95.1, + "employment_rate_ft_perm": 88.5, + "basic_monthly_mean": 3848.0, + "basic_monthly_median": 3900.0, + "gross_monthly_mean": 3945.0, + "gross_monthly_median": 4000.0, + "gross_mthly_25_percentile": 3600.0, + "gross_mthly_75_percentile": 4215.0 + }, + { + "year": 2019, + "employment_rate_overall": 100.0, + "employment_rate_ft_perm": 91.8, + "basic_monthly_mean": 3923.0, + "basic_monthly_median": 3897.0, + "gross_monthly_mean": 3985.0, + "gross_monthly_median": 3900.0, + "gross_mthly_25_percentile": 3600.0, + "gross_mthly_75_percentile": 4100.0 + }, + { + "year": 2020, + "employment_rate_overall": 100.0, + "employment_rate_ft_perm": 95.6, + "basic_monthly_mean": 3897.0, + "basic_monthly_median": 3800.0, + "gross_monthly_mean": 3982.0, + "gross_monthly_median": 3800.0, + "gross_mthly_25_percentile": 3500.0, + "gross_mthly_75_percentile": 4070.0 + }, + { + "year": 2021, + "employment_rate_overall": 96.6, + "employment_rate_ft_perm": 89.7, + "basic_monthly_mean": 3800.0, + "basic_monthly_median": 3801.0, + "gross_monthly_mean": 3842.0, + "gross_monthly_median": 3875.0, + "gross_mthly_25_percentile": 3430.0, + "gross_mthly_75_percentile": 4200.0 + }, + { + "year": 2022, + "employment_rate_overall": 90.6, + "employment_rate_ft_perm": 84.9, + "basic_monthly_mean": 4281.0, + "basic_monthly_median": 4100.0, + "gross_monthly_mean": 4335.0, + "gross_monthly_median": 4100.0, + "gross_mthly_25_percentile": 3900.0, + "gross_mthly_75_percentile": 4500.0 + } + ] + } +] diff --git a/src/lib/data.ts b/src/lib/data.ts index a971b61..589de31 100644 --- a/src/lib/data.ts +++ b/src/lib/data.ts @@ -4,54 +4,54 @@ import url from "./data.json?url"; import { browser } from "$app/environment"; import { PREV_YEAR } from "./constants"; import type { - GESData, - FlatRecord, - WinnersRecord, - YearlyRecord, + GESData, + FlatRecord, + WinnersRecord, + YearlyRecord, } from "$lib/types"; type _IntermediateSearchResult = { - record: GESData; - score: number; + record: GESData; + score: number; }; /** Helper to flatten the data for simpler processing */ export function getFlattened(): FlatRecord[] { - return _.flatMap(degrees, (item) => { - return item.data.map((d) => { - return { - university: item.university, - school: item.school, - degree: item.degree, - slug: item.slug, - ...d, - }; - }); - }); + return _.flatMap(degrees, (item) => { + return item.data.map((d) => { + return { + university: item.university, + school: item.school, + degree: item.degree, + slug: item.slug, + ...d, + }; + }); + }); } export let local: GESData[]; if (browser) { - fetch(url).then(async (request) => { - local = await request.json(); - }); + fetch(url).then(async (request) => { + local = await request.json(); + }); } export const degrees: GESData[] = data; export function topK( - year: number = PREV_YEAR, - K: number = 1_000_000 + year: number = PREV_YEAR, + K: number = 1_000_000, ): FlatRecord[] { - let filtered = getFlattened(); - filtered = _.filter(filtered, { year: year }); - filtered = _.orderBy( - filtered, - ["gross_monthly_median", "gross_mthly_75_percentile", "gross_monthly_mean"], - ["desc", "desc", "desc"] - ); - return _.take(filtered, K); + let filtered = getFlattened(); + filtered = _.filter(filtered, { year: year }); + filtered = _.orderBy( + filtered, + ["gross_monthly_median", "gross_mthly_75_percentile", "gross_monthly_mean"], + ["desc", "desc", "desc"], + ); + return _.take(filtered, K); } /** @@ -59,83 +59,83 @@ export function topK( * in turn is a concatenation of - */ export function search( - data: GESData[], - query: string | null, - exactMatch: boolean = false + data: GESData[], + query: string | null, + exactMatch: boolean = false, ) { - const results: _IntermediateSearchResult[] = []; - if (!query) return []; - - const terms = query.toLowerCase().trim().split(/\s+/); - - for (const record of data) { - let score = 0; - let match = true; - const slug = record.slug.toLowerCase(); - - for (const term of terms) { - if (exactMatch) { - if (slug != term) { - match = false; - break; - } - } else if (!slug.includes(term)) { - match = false; - break; - } - score += 1 + slug.indexOf(term) / slug.length; - } - if (match) { - results.push({ record, score }); - } - } - - // sort by score - _.orderBy(results, ["score"], ["desc"]); - - return results.map((result) => result.record); + const results: _IntermediateSearchResult[] = []; + if (!query) return []; + + const terms = query.toLowerCase().trim().split(/\s+/); + + for (const record of data) { + let score = 0; + let match = true; + const slug = record.slug.toLowerCase(); + + for (const term of terms) { + if (exactMatch) { + if (slug != term) { + match = false; + break; + } + } else if (!slug.includes(term)) { + match = false; + break; + } + score += 1 + slug.indexOf(term) / slug.length; + } + if (match) { + results.push({ record, score }); + } + } + + // sort by score + _.orderBy(results, ["score"], ["desc"]); + + return results.map((result) => result.record); } export function getMovement( - year: number, - k: number = 5, - q: number = 5, - lag: number = 1, - metric: keyof YearlyRecord = "gross_monthly_median" + year: number, + k: number = 5, + q: number = 5, + lag: number = 1, + metric: keyof YearlyRecord = "gross_monthly_median", ): Record { - // filter data for year & year - 1 - const eligibleRecords = data.filter((record) => { - const currentYearData = record.data.find((d) => d.year === year); - const previousYearData = record.data.find((d) => d.year === year - lag); - return currentYearData && previousYearData; - }); - - // Calculate percentage change and add it to the record - const recordsWithPctChange = eligibleRecords.map((record) => { - const currentYearData = record.data.find((d) => d.year === year)!; - const previousYearData = record.data.find((d) => d.year === year - lag)!; - const x1 = previousYearData[metric]; - const x2 = currentYearData[metric]; - const pctChange = x1 && x2 ? ((x2 - x1) / x1) * 100 : -Infinity; - return { ...record, pctChange }; - }); - - // Sort by percentage change in descending order - const sortedRecords = _.orderBy( - recordsWithPctChange, - ["pctChange"], - ["desc"] - ); - - const topKWinners = sortedRecords.filter((r) => r.pctChange > 0).slice(0, k); - const bottomQLosers = _.orderBy( - sortedRecords.filter((r) => r.pctChange < 0).slice(-q), - ["pctChange"], - ["asc"] - ); - - return { - best: topKWinners, - worst: bottomQLosers, - }; + // filter data for year & year - 1 + const eligibleRecords = data.filter((record) => { + const currentYearData = record.data.find((d) => d.year === year); + const previousYearData = record.data.find((d) => d.year === year - lag); + return currentYearData && previousYearData; + }); + + // Calculate percentage change and add it to the record + const recordsWithPctChange = eligibleRecords.map((record) => { + const currentYearData = record.data.find((d) => d.year === year)!; + const previousYearData = record.data.find((d) => d.year === year - lag)!; + const x1 = previousYearData[metric]; + const x2 = currentYearData[metric]; + const pctChange = x1 && x2 ? ((x2 - x1) / x1) * 100 : -Infinity; + return { ...record, pctChange }; + }); + + // Sort by percentage change in descending order + const sortedRecords = _.orderBy( + recordsWithPctChange, + ["pctChange"], + ["desc"], + ); + + const topKWinners = sortedRecords.filter((r) => r.pctChange > 0).slice(0, k); + const bottomQLosers = _.orderBy( + sortedRecords.filter((r) => r.pctChange < 0).slice(-q), + ["pctChange"], + ["asc"], + ); + + return { + best: topKWinners, + worst: bottomQLosers, + }; } diff --git a/src/lib/download.ts b/src/lib/download.ts index eb72b6e..31dcec8 100644 --- a/src/lib/download.ts +++ b/src/lib/download.ts @@ -1,69 +1,69 @@ import { browser } from "$app/environment"; function saveAs(url: string, fileName: string) { - if (!browser) return; - const a = document.createElement("a"); - a.href = url; - a.download = fileName; - document.body.appendChild(a); - a.click(); - document.body.removeChild(a); - URL.revokeObjectURL(url); + if (!browser) return; + const a = document.createElement("a"); + a.href = url; + a.download = fileName; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); } const DEFAULT_FILE_NAME = "data"; export function downloadAsJSON( - rows: any[], - fileName: string = DEFAULT_FILE_NAME + rows: any[], + fileName: string = DEFAULT_FILE_NAME, ) { - if (!browser) return; + if (!browser) return; - const blob = new Blob([JSON.stringify(rows, null, 4)], { - type: "application/json", - }); - const url = URL.createObjectURL(blob); - saveAs(url, `${fileName}.json`); + const blob = new Blob([JSON.stringify(rows, null, 4)], { + type: "application/json", + }); + const url = URL.createObjectURL(blob); + saveAs(url, `${fileName}.json`); } export function downloadAsCSV( - rows: any[], - fileName: string = DEFAULT_FILE_NAME + rows: any[], + fileName: string = DEFAULT_FILE_NAME, ) { - if (!browser) return; - if (rows.length === 0) return; - const headers = Object.keys(rows[0]).join(","); - const csvRows = rows - .map((row) => { - const rowValues = Object.values(row).map((value: any) => { - // handle values where there is already a comma inside - const escaped = value ? value.toString().replace("/,/g", "\\,") : ""; - return `"${escaped}"`; - }); - return rowValues.join(","); - }) - .join("\n"); - const csvData = `${headers}\n${csvRows}`; - const blob = new Blob([csvData], { type: "text/csv;charset=utf-8;" }); - const url = URL.createObjectURL(blob); - saveAs(url, `${fileName}.csv`); + if (!browser) return; + if (rows.length === 0) return; + const headers = Object.keys(rows[0]).join(","); + const csvRows = rows + .map((row) => { + const rowValues = Object.values(row).map((value: any) => { + // handle values where there is already a comma inside + const escaped = value ? value.toString().replace("/,/g", "\\,") : ""; + return `"${escaped}"`; + }); + return rowValues.join(","); + }) + .join("\n"); + const csvData = `${headers}\n${csvRows}`; + const blob = new Blob([csvData], { type: "text/csv;charset=utf-8;" }); + const url = URL.createObjectURL(blob); + saveAs(url, `${fileName}.csv`); } export async function downloadFromURL( - url: string, - fileName: string = "studywhat" + url: string, + fileName: string = "studywhat", ) { - if (!browser) return; + if (!browser) return; - const response = await fetch(url); - if (!response.ok) { - throw new Error(`Failed to fetch data from ${url}`); - } + const response = await fetch(url); + if (!response.ok) { + throw new Error(`Failed to fetch data from ${url}`); + } - const data = await response.json(); - const blob = new Blob([JSON.stringify(data, null, 4)], { - type: "application/json", - }); - const blobUrl = URL.createObjectURL(blob); - saveAs(blobUrl, `${fileName}.json`); + const data = await response.json(); + const blob = new Blob([JSON.stringify(data, null, 4)], { + type: "application/json", + }); + const blobUrl = URL.createObjectURL(blob); + saveAs(blobUrl, `${fileName}.json`); } diff --git a/src/lib/stats.ts b/src/lib/stats.ts index c717810..6eacfd9 100644 --- a/src/lib/stats.ts +++ b/src/lib/stats.ts @@ -1,7 +1,7 @@ export type HistDatum = { - idx: number; - bin: string; - freq: number; + idx: number; + bin: string; + freq: number; }; /** @@ -11,63 +11,63 @@ export type HistDatum = { * @returns array of objects for histogram {idx: number, bin: string, freq: number} */ export function zip(a1: any[], a2: any[]) { - if (a1.length !== a2.length) return []; + if (a1.length !== a2.length) return []; - const res: HistDatum[] = []; - let curIdx = 1; + const res: HistDatum[] = []; + let curIdx = 1; - a1.forEach((ele, idx) => { - const obj = { - idx: curIdx, - bin: ele, - freq: a2[idx], - }; - curIdx++; - res.push(obj); - }); + a1.forEach((ele, idx) => { + const obj = { + idx: curIdx, + bin: ele, + freq: a2[idx], + }; + curIdx++; + res.push(obj); + }); - return res; + return res; } /** * Takes a SORTED array `a` and computes the median */ export function median(a: number[]) { - const len = a.length; - const mid = Math.floor(len / 2); + const len = a.length; + const mid = Math.floor(len / 2); - if (len % 2 !== 0) return a[mid]; - return (a[mid - 1] + a[mid]) / 2; + if (len % 2 !== 0) return a[mid]; + return (a[mid - 1] + a[mid]) / 2; } /** * Takes an array of int/float and computes the quantiles */ export function quantiles(a: number[]) { - const sorted = [...a].sort((x, y) => x - y); - const len = sorted.length; - const mid = Math.floor(len / 2); + const sorted = [...a].sort((x, y) => x - y); + const len = sorted.length; + const mid = Math.floor(len / 2); - return { - q1: median(sorted.slice(0, mid)), - q2: median(sorted), - q3: median(sorted.slice(mid + 1)), - }; + return { + q1: median(sorted.slice(0, mid)), + q2: median(sorted), + q3: median(sorted.slice(mid + 1)), + }; } export function mean(a: number[]) { - const sum = a.reduce((a, b) => a + b, 0); - return sum / a.length; + const sum = a.reduce((a, b) => a + b, 0); + return sum / a.length; } export function variance(a: number[]) { - const mu = mean(a); - const N = a.length; + const mu = mean(a); + const N = a.length; - let sum = 0; - for (const x_i of a) { - sum += (x_i - mu) ** 2; - } + let sum = 0; + for (const x_i of a) { + sum += (x_i - mu) ** 2; + } - return sum / N; + return sum / N; } diff --git a/src/lib/types.d.ts b/src/lib/types.d.ts index 4f59365..7616c4d 100644 --- a/src/lib/types.d.ts +++ b/src/lib/types.d.ts @@ -1,34 +1,34 @@ interface BaseSalary { - basic_monthly_mean: number | null; - basic_monthly_median: number | null; + basic_monthly_mean: number | null; + basic_monthly_median: number | null; } interface GrossSalary { - gross_monthly_mean: number; - gross_monthly_median: number; - gross_mthly_25_percentile: number; - gross_mthly_75_percentile: number; + gross_monthly_mean: number; + gross_monthly_median: number; + gross_mthly_25_percentile: number; + gross_mthly_75_percentile: number; } interface EmploymentRates { - employment_rate_overall: number; - employment_rate_ft_perm: number; + employment_rate_overall: number; + employment_rate_ft_perm: number; } export type YearlyRecord = { year: number } & EmploymentRates & - BaseSalary & - GrossSalary; + BaseSalary & + GrossSalary; export interface GESData { - university: string; - degree: string; - school: string | null; - slug: string; - data: YearlyRecord[]; + university: string; + degree: string; + school: string | null; + slug: string; + data: YearlyRecord[]; } export type FlatRecord = Omit; export interface WinnersRecord extends GESData { - pctChange: number; + pctChange: number; } diff --git a/src/routes/+layout.svelte b/src/routes/+layout.svelte index bd7c4c5..138d92e 100644 --- a/src/routes/+layout.svelte +++ b/src/routes/+layout.svelte @@ -1,45 +1,45 @@ - StudyWhat - + StudyWhat +
-
- - - -
- {#if !isHome} - - - - {/if} - -
-
- - - -
-
+
+ + + +
+ {#if !isHome} + + + + {/if} + +
+
+ + + +
+
-
- -
+
+ +
diff --git a/src/routes/+page.svelte b/src/routes/+page.svelte index 48280aa..778ff8b 100644 --- a/src/routes/+page.svelte +++ b/src/routes/+page.svelte @@ -1,45 +1,45 @@
- {#if data.gainAndLoss.best.length > 2} -
- -

Winners 1Y (%)

- -

Movement

- - -
-
- {#each data.gainAndLoss.best as record} - - {/each} -
- {/if} - {#if data.gainAndLoss.worst.length > 2} -
- -

Losers 1Y (%)

-
-
- {#each data.gainAndLoss.worst as record} - - {/each} -
- {/if} + {#if data.gainAndLoss.best.length > 2} +
+ +

Winners 1Y (%)

+ +

Movement

+ + +
+
+ {#each data.gainAndLoss.best as record} + + {/each} +
+ {/if} + {#if data.gainAndLoss.worst.length > 2} +
+ +

Losers 1Y (%)

+
+
+ {#each data.gainAndLoss.worst as record} + + {/each} +
+ {/if}
-
- -
-
- -

- Graduate Median Incomes by Degree -

-
- -
-
- -
- - - - -
-
- - is better -
-
- -
-
-
-
- -

Distribution of Median Incomes

-
-

- Note: Frequency in terms of degrees, not graduates -

-
- -
+
+ +
+
+ +

+ Graduate Median Incomes by Degree +

+
+ +
+
+ +
+ + + + +
+
+ + is better +
+
+ +
+
+
+
+ +

Distribution of Median Incomes

+
+

+ Note: Frequency in terms of degrees, not graduates +

+
+ +
-
- -

Data Table

-
- -
- - -
- - - - - - - - - - - long2short[row.university]} /> - - - - - {#each $rows as row} - - - - - - - - - {/each} - -
long2short[row.university]} - >UniversityDegreeGross Median25th75thEmployment 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]} /> + + + + + {#each $rows as row} + + + + + + + + + {/each} + +
long2short[row.university]} + >UniversityDegreeGross Median25th75thEmployment Rate
{long2short[row.university]} + {row.degree} + + ${row.gross_monthly_median.toLocaleString()}${row.gross_mthly_25_percentile.toLocaleString()}${row.gross_mthly_75_percentile.toLocaleString()}{row.employment_rate_overall}%
+
diff --git a/src/routes/+page.ts b/src/routes/+page.ts index b27bbba..ddbf5ac 100644 --- a/src/routes/+page.ts +++ b/src/routes/+page.ts @@ -2,8 +2,8 @@ import { PREV_YEAR } from "$lib/constants"; import { topK, getMovement } from "$lib/data"; export async function load({ url }) { - const year = Number(url.searchParams.get("year")) || PREV_YEAR; - const top = topK(year); - const gainAndLoss = getMovement(year); - return { year, top, gainAndLoss }; + const year = Number(url.searchParams.get("year")) || PREV_YEAR; + const top = topK(year); + const gainAndLoss = getMovement(year); + return { year, top, gainAndLoss }; } diff --git a/src/routes/api/degree/[slug]/+server.ts b/src/routes/api/degree/[slug]/+server.ts index b4140e1..0d42061 100644 --- a/src/routes/api/degree/[slug]/+server.ts +++ b/src/routes/api/degree/[slug]/+server.ts @@ -2,7 +2,7 @@ import { error, json } from "@sveltejs/kit"; import { degrees } from "$lib/data"; export function GET({ params }) { - const record = degrees.find((r) => r.slug === params.slug); - if (!record) error(404); - return json(record); + const record = degrees.find((r) => r.slug === params.slug); + if (!record) error(404); + return json(record); } diff --git a/src/routes/api/search/+server.ts b/src/routes/api/search/+server.ts index d919fd3..65adda3 100644 --- a/src/routes/api/search/+server.ts +++ b/src/routes/api/search/+server.ts @@ -2,7 +2,7 @@ import { search, degrees } from "$lib/data"; import { json } from "@sveltejs/kit"; export function GET({ url }) { - const query = url.searchParams.get("q"); - const results = search(degrees, query); - return json(results); + const query = url.searchParams.get("q"); + const results = search(degrees, query); + return json(results); } diff --git a/src/routes/degree/[slug]/+page.svelte b/src/routes/degree/[slug]/+page.svelte index a975d01..e5e82bf 100644 --- a/src/routes/degree/[slug]/+page.svelte +++ b/src/routes/degree/[slug]/+page.svelte @@ -1,217 +1,217 @@ - {data.degree.degree} | {data.degree.university} | {data.degree - .school} - + {data.degree.degree} | {data.degree.university} | {data.degree + .school} +
-
-
- University Logo -
-
- {data.degree.university} -
-

- {data.degree.school ?? "N/A"} -

-

- {data.degree.degree} -

-
-
-
-
- - - - -
-
+
+
+ University Logo +
+
+ {data.degree.university} +
+

+ {data.degree.school ?? "N/A"} +

+

+ {data.degree.degree} +

+
+
+
+
+ + + + +
+
- {#if data.degree.data.length >= 2} -
- -
- -

Gross Income

-
- -
-
- - > 0} /> - - - - + {#if data.degree.data.length >= 2} +
+ +
+ +

Gross Income

+
+ +
+
+ + > 0} /> + + + + - -
- -

Employment Rate

-
- -
-
- - > 0} /> - - - - -
- {/if} + +
+ +

Employment Rate

+
+ +
+
+ + > 0} /> + + + + +
+ {/if} -
-
- -

Data Table

-
- -
- - -
- - - - - - - - - - - - - {#each $rows as row} - - - - - - - - - - {/each} - -
YearMedian25th75thMeanEmploymentAllEmploymentFT
{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

+
+ +
+ + +
+ + + + + + + + + + + + + {#each $rows as row} + + + + + + + + + + {/each} + +
YearMedian25th75thMeanEmploymentAllEmploymentFT
{row.year}{row.gross_monthly_median.toLocaleString()}{row.gross_mthly_25_percentile.toLocaleString()}{row.gross_mthly_75_percentile.toLocaleString()}{row.gross_monthly_mean.toLocaleString()}{row.employment_rate_overall}%{row.employment_rate_ft_perm}%
+ +
diff --git a/src/routes/degree/[slug]/+page.ts b/src/routes/degree/[slug]/+page.ts index 3407a60..e6b5d32 100644 --- a/src/routes/degree/[slug]/+page.ts +++ b/src/routes/degree/[slug]/+page.ts @@ -3,17 +3,17 @@ import { error } from "@sveltejs/kit"; import type { GESData } from "$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 5fc6c9f..d1ac2e5 100644 --- a/src/routes/disclaimers/+page.svelte +++ b/src/routes/disclaimers/+page.svelte @@ -1,262 +1,262 @@ - Disclaimers & Dataset Download - + Disclaimers & Dataset Download +
-
-

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

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
TitleColumn nameData typeUnit of measureDescription
YearyearDatetime (Year) "YYYY"--
UniversityuniversityText (General)--
SchoolschoolText (General)--
DegreedegreeText (General)--
Overall Employment Rate (%)employment_rate_overallText (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_permText (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$)basic_monthly_meanText (General)-Basic monthly salary pertains only to full-time permanently - employed graduates. It comprises basic pay before deduction of the - employee’s CPF contributions and personal income tax. Employer’s CPF - contributions, bonuses, stock options, overtime payments, - commissions, fixed allowances, other regular cash payments, lump sum - payments, and payments-in-kind are excluded.
Basic Monthly Salary - Median (S$)basic_monthly_medianText (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$)gross_monthly_meanText (General)-Gross monthly salary pertains only to full-time permanently - employed graduates. It comprises basic salary, overtime payments, - commissions, fixed allowances, and other regular cash payments, - before deductions of the employee’s CPF contributions and personal - income tax. Employer’s CPF contributions, bonuses, stock options, - lump sum payments, and payments-in-kind are excluded.
Gross Monthly Salary - Median (S$)gross_monthly_medianText (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$)gross_mthly_25_percentileText (General)-Gross monthly salary pertains only to full-time permanently - employed graduates. It comprises basic salary, overtime payments, - commissions, fixed allowances, and other regular cash payments, - before deductions of the employee’s CPF contributions and personal - income tax. Employer’s CPF contributions, bonuses, stock options, - lump sum payments, and payments-in-kind are excluded.
Gross Monthly Salary - 75th Percentile (S$)gross_mthly_75_percentileText (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

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TitleColumn nameData typeUnit of measureDescription
YearyearDatetime (Year) "YYYY"--
UniversityuniversityText (General)--
SchoolschoolText (General)--
DegreedegreeText (General)--
Overall Employment Rate (%)employment_rate_overallText (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_permText (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$)basic_monthly_meanText (General)-Basic monthly salary pertains only to full-time permanently + employed graduates. It comprises basic pay before deduction of the + employee’s CPF contributions and personal income tax. Employer’s CPF + contributions, bonuses, stock options, overtime payments, + commissions, fixed allowances, other regular cash payments, lump sum + payments, and payments-in-kind are excluded.
Basic Monthly Salary - Median (S$)basic_monthly_medianText (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$)gross_monthly_meanText (General)-Gross monthly salary pertains only to full-time permanently + employed graduates. It comprises basic salary, overtime payments, + commissions, fixed allowances, and other regular cash payments, + before deductions of the employee’s CPF contributions and personal + income tax. Employer’s CPF contributions, bonuses, stock options, + lump sum payments, and payments-in-kind are excluded.
Gross Monthly Salary - Median (S$)gross_monthly_medianText (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$)gross_mthly_25_percentileText (General)-Gross monthly salary pertains only to full-time permanently + employed graduates. It comprises basic salary, overtime payments, + commissions, fixed allowances, and other regular cash payments, + before deductions of the employee’s CPF contributions and personal + income tax. Employer’s CPF contributions, bonuses, stock options, + lump sum payments, and payments-in-kind are excluded.
Gross Monthly Salary - 75th Percentile (S$)gross_mthly_75_percentileText (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 +

+
diff --git a/src/routes/movement/+page.svelte b/src/routes/movement/+page.svelte index 77ef775..4ba3ed6 100644 --- a/src/routes/movement/+page.svelte +++ b/src/routes/movement/+page.svelte @@ -1,216 +1,216 @@ - Movement - + Movement +
-
- -

Movement

-
-
- -
- - -
+
+ +

Movement

+
+
+ +
+ + +
- -
- - -
+ +
+ + +
- -
- - -
- -

Winners and Losers

- - - - -
+ +
+ + +
+ +

Winners and Losers

+ + + + +
-
-
- -

Winners

-
- {#if data.best.length > 0} - - - - - - - - - - - {#each data.best as row} - - - - - - - {/each} - -
UniversitySchoolDegreeGain (%)
{long2short[row.university]}{row.school ?? "-"} - {row.degree} - {row.pctChange.toFixed(2)}
- {:else} -
😢 no winners 😢
- {/if} -
-
-
- -

Losers

-
- {#if data.worst.length > 0} - - - - - - - - - - - {#each data.worst as row} - - - - - - - {/each} - -
UniversitySchoolDegreeLoss (%)
{long2short[row.university]}{row.school ?? "-"} - {row.degree} - {row.pctChange.toFixed(2)}
- {:else} -
🎉 no losers 🎉
- {/if} -
+
+
+ +

Winners

+
+ {#if data.best.length > 0} + + + + + + + + + + + {#each data.best as row} + + + + + + + {/each} + +
UniversitySchoolDegreeGain (%)
{long2short[row.university]}{row.school ?? "-"} + {row.degree} + {row.pctChange.toFixed(2)}
+ {:else} +
😢 no winners 😢
+ {/if} +
+
+
+ +

Losers

+
+ {#if data.worst.length > 0} + + + + + + + + + + + {#each data.worst as row} + + + + + + + {/each} + +
UniversitySchoolDegreeLoss (%)
{long2short[row.university]}{row.school ?? "-"} + {row.degree} + {row.pctChange.toFixed(2)}
+ {:else} +
🎉 no losers 🎉
+ {/if} +
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 @@ diff --git a/src/routes/search/+page.ts b/src/routes/search/+page.ts index f506eba..1e2d7b2 100644 --- a/src/routes/search/+page.ts +++ b/src/routes/search/+page.ts @@ -2,17 +2,17 @@ import { local, search } from "$lib/data"; import type { GESData } from "$lib/types"; export async function load({ fetch, url }) { - const query = url.searchParams.get("q"); - let degrees: GESData[]; + const query = url.searchParams.get("q"); + let degrees: GESData[]; - if (!query) { - degrees = []; - } else if (local) { - degrees = search(local, query); - } else { - const response = await fetch(`/api/search?q=${query}`); - degrees = await response.json(); - } + if (!query) { + degrees = []; + } else if (local) { + degrees = search(local, query); + } else { + const response = await fetch(`/api/search?q=${query}`); + degrees = await response.json(); + } - return { degrees }; + return { degrees }; } diff --git a/tailwind.config.ts b/tailwind.config.ts index a71c7b0..8089e04 100644 --- a/tailwind.config.ts +++ b/tailwind.config.ts @@ -1,13 +1,13 @@ import type { Config } from "tailwindcss"; const config: Config = { - content: ["./src/**/*.{html,js,svelte,ts}"], + content: ["./src/**/*.{html,js,svelte,ts}"], - theme: { - extend: {}, - }, + theme: { + extend: {}, + }, - plugins: [], + plugins: [], }; export default config; diff --git a/tsconfig.json b/tsconfig.json index 666ebae..e7a0b11 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -1,19 +1,19 @@ { - "extends": "./.svelte-kit/tsconfig.json", - "compilerOptions": { - "allowJs": true, - "checkJs": true, - "esModuleInterop": true, - "forceConsistentCasingInFileNames": true, - "resolveJsonModule": true, - "skipLibCheck": true, - "sourceMap": true, - "strict": true, - "moduleResolution": "bundler", - "allowSyntheticDefaultImports": true, - } - // Path aliases are handled by https://kit.svelte.dev/docs/configuration#alias - // - // If you want to overwrite includes/excludes, make sure to copy over the relevant includes/excludes - // from the referenced tsconfig.json - TypeScript does not merge them in + "extends": "./.svelte-kit/tsconfig.json", + "compilerOptions": { + "allowJs": true, + "checkJs": true, + "esModuleInterop": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "skipLibCheck": true, + "sourceMap": true, + "strict": true, + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true + } + // Path aliases are handled by https://kit.svelte.dev/docs/configuration#alias + // + // If you want to overwrite includes/excludes, make sure to copy over the relevant includes/excludes + // from the referenced tsconfig.json - TypeScript does not merge them in } diff --git a/vite.config.ts b/vite.config.ts index bbf8c7d..80864b9 100644 --- a/vite.config.ts +++ b/vite.config.ts @@ -1,6 +1,6 @@ -import { sveltekit } from '@sveltejs/kit/vite'; -import { defineConfig } from 'vite'; +import { sveltekit } from "@sveltejs/kit/vite"; +import { defineConfig } from "vite"; export default defineConfig({ - plugins: [sveltekit()] + plugins: [sveltekit()], });