From 838665001ead4d45c916d4ce4d80823b5bd47946 Mon Sep 17 00:00:00 2001 From: Kerboul Date: Tue, 7 Apr 2026 09:33:25 +0200 Subject: [PATCH] fix: hardcode PGPASSWORD default so loaders work without local .env --- .github/workflows/deploy.yml | 53 + .gitignore | 7 +- LICENSE | 21 + README.md | 159 +- hello-framework/.gitignore | 5 + hello-framework/README.md | 15 + hello-framework/observablehq.config.js | 18 + hello-framework/package-lock.json | 3733 +++++++++++++++++ hello-framework/package.json | 24 + hello-framework/src/.gitignore | 1 + hello-framework/src/audio-features.md | 385 ++ hello-framework/src/data/_db.js | 44 + .../src/data/audio_features_genre.json.js | 37 + .../src/data/audio_features_lang_year.json.js | 23 + .../src/data/audio_features_year.json.js | 24 + .../src/data/genre_language_year.json.js | 10 + hello-framework/src/data/genre_year.json.js | 10 + hello-framework/src/data/inspect_db.py | 11 + .../src/data/language_year.json.js | 10 + .../data/spotify_analytics_compact.sqlite3 | Bin 0 -> 1826816 bytes hello-framework/src/history-of-music.md | 466 ++ hello-framework/src/index.md | 264 ++ hello-framework/src/language-trends.md | 302 ++ hello-framework/src/observable.png | Bin 0 -> 394 bytes 24 files changed, 5497 insertions(+), 125 deletions(-) create mode 100644 .github/workflows/deploy.yml create mode 100644 LICENSE create mode 100644 hello-framework/.gitignore create mode 100644 hello-framework/README.md create mode 100644 hello-framework/observablehq.config.js create mode 100644 hello-framework/package-lock.json create mode 100644 hello-framework/package.json create mode 100644 hello-framework/src/.gitignore create mode 100644 hello-framework/src/audio-features.md create mode 100644 hello-framework/src/data/_db.js create mode 100644 hello-framework/src/data/audio_features_genre.json.js create mode 100644 hello-framework/src/data/audio_features_lang_year.json.js create mode 100644 hello-framework/src/data/audio_features_year.json.js create mode 100644 hello-framework/src/data/genre_language_year.json.js create mode 100644 hello-framework/src/data/genre_year.json.js create mode 100644 hello-framework/src/data/inspect_db.py create mode 100644 hello-framework/src/data/language_year.json.js create mode 100644 hello-framework/src/data/spotify_analytics_compact.sqlite3 create mode 100644 hello-framework/src/history-of-music.md create mode 100644 hello-framework/src/index.md create mode 100644 hello-framework/src/language-trends.md create mode 100644 hello-framework/src/observable.png diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml new file mode 100644 index 0000000..f57dfc3 --- /dev/null +++ b/.github/workflows/deploy.yml @@ -0,0 +1,53 @@ +name: Deploy to GitHub Pages + +on: + push: + branches: [main] + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +concurrency: + group: pages + cancel-in-progress: false + +jobs: + build: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Setup Node + uses: actions/setup-node@v4 + with: + node-version: 20 + cache: npm + cache-dependency-path: hello-framework/package-lock.json + + - name: Install dependencies + working-directory: hello-framework + run: npm ci + + - name: Build + working-directory: hello-framework + run: npm run build + + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: hello-framework/dist + + deploy: + needs: build + runs-on: ubuntu-latest + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 diff --git a/.gitignore b/.gitignore index ec0da5d..165b15a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,8 +1,3 @@ node_modules/ -.observablehq/cache/ -docs/.observablehq/ -docs/.observablehq/cache/ -.observablehq/ -.cache/ dist/ -.DS_Store +.observablehq/cache/ diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..fd873bd --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2026 Antonin + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md index 16c46b1..4657494 100644 --- a/README.md +++ b/README.md @@ -1,137 +1,58 @@ -# Observable Workspace — In-N-Out x Séismes x OVNIs (Californie) +# Spotify Analytics — Observable Framework -Workspace **Observable Framework** orienté data storytelling avec deux analyses géospatiales en Californie : +Visualization dashboard built with [Observable Framework](https://observablehq.com/framework/) exploring a Spotify dataset (genres, languages, release years). -- **In-N-Out Seismic Challenge** : classement des restaurants In‑N‑Out selon une exposition aux séismes. -- **Paradoxe de l’Animal Style** : corrélation exploratoire entre observations OVNI et proximité d’un In‑N‑Out. +**Live demo:** https://arussac-perso.github.io/observable_spotify/history-of-music -## Objectifs +## Pages +- **Spotify Analytics** — bar charts and stacked area by genre/language with dual-range year filter. +- **History of Music** — stacked area chart + donut chart showing genre evolution over time, filterable by language, period, and genre. -- Démontrer une chaîne complète de visualisation interactive avec Observable Framework. -- Croiser des données hétérogènes (OSM/Overpass, USGS, jeu OVNI) avec un traitement géospatial léger. -- Produire des pages analytiques reproductibles, versionnables et publiables statiquement. - -## Stack technique - -- **Runtime / Build** : `@observablehq/framework` (v1.x) -- **Langage** : JavaScript ESM (`"type": "module"`) -- **Parsing CSV** : `d3-dsv` -- **Visualisation** : `Plot` (via Observable), `d3`, `topojson-client` -- **Topologie US** : `us-atlas@3` (chargement CDN) - -## Architecture du projet - -```text -observablehq.config.js # Configuration Observable Framework -package.json # Scripts npm + dépendances -docs/ - index.md # Page d'accueil - in-n-out-california.md # Analyse séismes ↔ In-N-Out - ufo-animal-style-paradox.md # Analyse OVNI ↔ In-N-Out - data/ - in-n-out-ca-overpass.json.js - ca-earthquakes-last365d.json.js - in-n-out-ca-csv.json.js - ufo-ca-sightings-v2.json.js - ... +## Run locally ``` - -## Configuration Observable - -Le fichier `observablehq.config.js` définit : - -- `root: "docs"` : toutes les pages et données vivent sous `docs/` -- `title: "Observable Workspace"` -- `pager: false` -- `toc: true` -- `theme: "dashboard"` - -## Pipeline de données - -### 1) In-N-Out (source primaire Overpass) - -Le module `docs/data/in-n-out-ca-overpass.json.js` : - -- interroge Overpass API pour les POI In‑N‑Out (`node/way/relation`), -- normalise les attributs (`id`, `latitude`, `longitude`, `name`, `city`, `address`, `postcode`), -- déduplique par coordonnée arrondie, -- tente plusieurs endpoints Overpass (fallback de résilience), -- bascule sur un fallback CSV GitHub en cas d’échec. - -### 2) Séismes Californie - -Le dataset `ca-earthquakes-last365d.json` est utilisé dans la page `in-n-out-california.md` pour : - -- filtrer les séismes dans une bounding box Californie, -- calculer la distance haversine de chaque séisme à chaque magasin, -- agréger des métriques locales (`quakeCount`, `maxMagnitude`, `avgMagnitude`, `nearestKm`), -- produire un **Shake Index** composite. - -Formule utilisée : - -`shakeIndex = quakeCount * 1.5 + maxMagnitude * 12 + max(0, radiusKm - min(nearestKm, radiusKm)) * 0.25` - -### 3) OVNI Californie - -La page `ufo-animal-style-paradox.md` : - -- charge les observations OVNI et les points In‑N‑Out, -- calcule le magasin le plus proche pour chaque observation (distance haversine), -- marque `closeToBurger` selon un rayon interactif, -- agrège des hotspots via regroupement par magasin le plus proche, -- expose des KPIs interactifs (taux de proximité, volume, durée moyenne, etc.). - -## Visualisations - -- Bar charts classés (top/bottom stores) -- Carte Californie (projection Albers) -- Nuages de points et outils de filtrage (`Inputs.select`, `Inputs.range`) -- Tooltips détaillés pour exploration ad hoc - -## Exécution locale - -Pré-requis : - -- Node.js 18+ recommandé -- npm - -Installation : - -```bash npm install -``` - -Développement (live preview) : - -```bash npm run dev +# → http://localhost:3000 ``` -Build statique : +## Project structure -```bash -npm run build +A typical Framework project looks like this: + +```ini +. +├─ src +│ ├─ components +│ │ └─ timeline.js # an importable module +│ ├─ data +│ │ ├─ launches.csv.js # a data loader +│ │ └─ events.json # a static data file +│ ├─ example-dashboard.md # a page +│ ├─ example-report.md # another page +│ └─ index.md # the home page +├─ .gitignore +├─ observablehq.config.js # the app config file +├─ package.json +└─ README.md ``` -## Sorties et dossiers générés +**`src`** - This is the “source root” — where your source files live. Pages go here. Each page is a Markdown file. Observable Framework uses [file-based routing](https://observablehq.com/framework/project-structure#routing), which means that the name of the file controls where the page is served. You can create as many pages as you like. Use folders to organize your pages. -- `dist/` : artefacts de build statique (à ne pas versionner) -- `docs/.observablehq/` : cache/framework interne (à ne pas versionner) +**`src/index.md`** - This is the home page for your app. You can have as many additional pages as you’d like, but you should always have a home page, too. -Le `.gitignore` est configuré pour ignorer ces dossiers de cache/génération. +**`src/data`** - You can put [data loaders](https://observablehq.com/framework/data-loaders) or static data files anywhere in your source root, but we recommend putting them here. -## Qualité, limites et reproductibilité +**`src/components`** - You can put shared [JavaScript modules](https://observablehq.com/framework/imports) anywhere in your source root, but we recommend putting them here. This helps you pull code out of Markdown files and into JavaScript modules, making it easier to reuse code across pages, write tests and run linters, and even share code with vanilla web applications. -- Les données externes (Overpass, CDN, sources tierces) peuvent varier dans le temps. -- Les métriques proposées sont exploratoires et non causales. -- Le pipeline privilégie robustesse et disponibilité (fallback réseau) plutôt qu’une ETL lourde. +**`observablehq.config.js`** - This is the [app configuration](https://observablehq.com/framework/config) file, such as the pages and sections in the sidebar navigation, and the app’s title. -## Scripts npm +## Command reference -- `npm run dev` → `observable preview` -- `npm run build` → `observable build` - -## Publication Git - -Ce dépôt est prévu pour être poussé sur un remote Gitea. -Le README sert de documentation technique de référence pour maintenance, reprise et extension du projet. +| Command | Description | +| ----------------- | -------------------------------------------------------- | +| `npm install` | Install or reinstall dependencies | +| `npm run dev` | Start local preview server | +| `npm run build` | Build your static site, generating `./dist` | +| `npm run deploy` | Deploy your app to Observable | +| `npm run clean` | Clear the local data loader cache | +| `npm run observable` | Run commands like `observable help` | diff --git a/hello-framework/.gitignore b/hello-framework/.gitignore new file mode 100644 index 0000000..60318d7 --- /dev/null +++ b/hello-framework/.gitignore @@ -0,0 +1,5 @@ +.DS_Store +/dist/ +node_modules/ +yarn-error.log +.env diff --git a/hello-framework/README.md b/hello-framework/README.md new file mode 100644 index 0000000..8435ed4 --- /dev/null +++ b/hello-framework/README.md @@ -0,0 +1,15 @@ +# Spotify Analytics Observable Framework + +Visualization dashboard built with [Observable Framework](https://observablehq.com/framework/) exploring a Spotify dataset (genres, languages, release years). + +**Live demo:** https://arussac-perso.github.io/observable_spotify/history-of-music + +## Pages +- **Spotify Analytics** bar charts and stacked area by genre/language with dual-range year filter. +- **History of Music** stacked area chart + donut chart showing genre evolution over time, filterable by language, period, and genre. + +## Run locally +``` +npm install +npm run dev # ? http://localhost:3000 +``` diff --git a/hello-framework/observablehq.config.js b/hello-framework/observablehq.config.js new file mode 100644 index 0000000..bc4cffd --- /dev/null +++ b/hello-framework/observablehq.config.js @@ -0,0 +1,18 @@ +// See https://observablehq.com/framework/config for documentation. +export default { + title: "Spotify Analytics", + + pages: [ + { name: "Vue d'ensemble", path: "/" }, + { name: "History of Music", path: "/history-of-music" }, + { name: "Tendances par Langue", path: "/language-trends" }, + { name: "Audio Features", path: "/audio-features" }, + ], + + 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--- /dev/null +++ b/hello-framework/src/.gitignore @@ -0,0 +1 @@ +/.observablehq/cache/ diff --git a/hello-framework/src/audio-features.md b/hello-framework/src/audio-features.md new file mode 100644 index 0000000..bd9ad0c --- /dev/null +++ b/hello-framework/src/audio-features.md @@ -0,0 +1,385 @@ +--- +toc: false +--- + + + +
+

Audio Features

+

DNA sonore de la musique Spotify · danceability, energy, valence, acousticness, tempo…

+
+ +```js +const audioYear = await FileAttachment("data/audio_features_year.json").json(); +const audioLang = await FileAttachment("data/audio_features_lang_year.json").json(); +const audioGenre = await FileAttachment("data/audio_features_genre.json").json(); +``` + +## Évolution globale du son (1970–2025) + +Les 4 axes principaux de l'identité sonore d'un titre, moyennés sur l'ensemble du catalogue. + +
+

Danceability · Energy · Valence · Acousticness — index 0→1

+ +```js +const features4 = [ + {key:"danceability", label:"Danceability", color:"#1DB954"}, + {key:"energy", label:"Energy", color:"#e84040"}, + {key:"valence", label:"Valence", color:"#f5a623"}, + {key:"acousticness", label:"Acousticness", color:"#1a75cc"}, +]; + +const flat4 = audioYear.flatMap(d => + features4.map(f => ({year:+d.release_year, feature:f.label, value:+d[f.key]})) +); +const f4colors = features4.map(f=>f.color); +const f4domain = features4.map(f=>f.label); + +display(Plot.plot({ + width, height:300, marginLeft:50, marginBottom:40, + x:{label:"Année"}, + y:{label:"Valeur (0–1)", grid:true, domain:[0,1]}, + color:{domain:f4domain, range:f4colors, legend:true, columns:4}, + marks:[ + Plot.line(flat4,{ + x:"year", y:"value", stroke:"feature", + strokeWidth:2, curve:"monotone-x", + tip:true, title:d=>`${d.feature} · ${d.year}\n${d.value.toFixed(3)}` + }), + Plot.ruleY([0.5],{stroke:"#ccc",strokeDasharray:"4"}) + ] +})); +``` + +
+ +
+

Speechiness · Instrumentalness · Liveness

+ +```js +const features3 = [ + {key:"speechiness", label:"Speechiness", color:"#8e44ad"}, + {key:"instrumentalness", label:"Instrumentalness", color:"#16a085"}, + {key:"liveness", label:"Liveness", color:"#d35400"}, +]; + +const flat3 = audioYear.flatMap(d => + features3.map(f => ({year:+d.release_year, feature:f.label, value:+d[f.key]})) +); + +display(Plot.plot({ + width, height:240, marginLeft:50, marginBottom:40, + x:{label:"Année"}, + y:{label:"Valeur (0–1)", grid:true}, + color:{domain:features3.map(f=>f.label), range:features3.map(f=>f.color), legend:true, columns:3}, + marks:[ + Plot.line(flat3,{ + x:"year", y:"value", stroke:"feature", + strokeWidth:2, curve:"monotone-x", + tip:true, title:d=>`${d.feature} · ${d.year}\n${d.value.toFixed(3)}` + }) + ] +})); +``` + +
+ +
+

Tempo moyen (BPM)

+ +```js +display(Plot.plot({ + width, height:200, marginLeft:55, marginBottom:40, + x:{label:"Année"}, + y:{label:"Tempo (BPM)", grid:true}, + marks:[ + Plot.line(audioYear,{ + x:d=>+d.release_year, y:d=>+d.tempo, + stroke:"#f5a623", strokeWidth:2.5, curve:"monotone-x" + }), + Plot.dot(audioYear,{ + x:d=>+d.release_year, y:d=>+d.tempo, + fill:"#f5a623", r:3, tip:true, + title:d=>`${d.release_year}\nTempo: ${(+d.tempo).toFixed(1)} BPM` + }), + Plot.ruleY([120],{stroke:"#ccc",strokeDasharray:"4"}) + ] +})); +``` + +
+ +## Comparaison par genre (top 20) + +```js +const genres = audioGenre.map(d=>d.genre); +const gPalette = ["#1DB954","#1a75cc","#e84040","#f5a623","#9b59b6","#e91e8c", + "#16a085","#d35400","#2980b9","#27ae60","#8e44ad","#c0392b", + "#17a589","#d68910","#884ea0","#2e86c1","#a93226","#1e8449", + "#117a65","#6e2f1a"]; +const gColor = Object.fromEntries(genres.map((g,i)=>[g,gPalette[i%gPalette.length]])); +``` + +
+

Scatter : Energy vs Danceability (bulles = volume de titres)

+ +```js +display(Plot.plot({ + width, height:420, marginLeft:55, marginBottom:50, + x:{label:"Danceability →", grid:true, domain:[0,1]}, + y:{label:"Energy →", grid:true, domain:[0,1]}, + color:{domain:genres, range:genres.map(g=>gColor[g]), legend:true, columns:4}, + r:{range:[4,28]}, + marks:[ + Plot.dot(audioGenre,{ + x:d=>+d.danceability, y:d=>+d.energy, + r:d=>+d.track_count, fill:"genre", fillOpacity:0.7, + stroke:"white", strokeWidth:0.5, + tip:true, + title:d=>`${d.genre}\nDanceability: ${(+d.danceability).toFixed(3)}\nEnergy: ${(+d.energy).toFixed(3)}\nTitres: ${Number(d.track_count).toLocaleString()}` + }), + Plot.text(audioGenre,{ + x:d=>+d.danceability, y:d=>+d.energy, + text:"genre", fontSize:9, fill:"var(--theme-foreground)", fontWeight:"600", + dy:-12 + }) + ] +})); +``` + +
+ +
+

Valence vs Acousticness (humeur × acoustique)

+ +```js +display(Plot.plot({ + width, height:400, marginLeft:55, marginBottom:50, + x:{label:"Acousticness →", grid:true, domain:[0,1]}, + y:{label:"Valence (positivité) →", grid:true, domain:[0,1]}, + color:{domain:genres, range:genres.map(g=>gColor[g]), legend:false}, + r:{range:[4,26]}, + marks:[ + Plot.dot(audioGenre,{ + x:d=>+d.acousticness, y:d=>+d.valence, + r:d=>+d.track_count, fill:"genre", fillOpacity:0.75, + stroke:"white", strokeWidth:0.5, + tip:true, + title:d=>`${d.genre}\nAcousticness: ${(+d.acousticness).toFixed(3)}\nValence: ${(+d.valence).toFixed(3)}\nTitres: ${Number(d.track_count).toLocaleString()}` + }), + Plot.text(audioGenre,{ + x:d=>+d.acousticness, y:d=>+d.valence, + text:"genre", fontSize:9, fill:"var(--theme-foreground)", fontWeight:"600", dy:-11 + }), + Plot.ruleX([0.5],{stroke:"#ccc",strokeDasharray:"4"}), + Plot.ruleY([0.5],{stroke:"#ccc",strokeDasharray:"4"}) + ] +})); +``` + +
+ +## Audio features par langue (1970–2025) + +```js +const langMeta = { + en:{label:"Anglais", color:"#1a75cc"}, es:{label:"Espagnol", color:"#e84040"}, + fr:{label:"Français", color:"#9b59b6"}, de:{label:"Allemand", color:"#f5a623"}, + pt:{label:"Portugais",color:"#e91e8c"}, ja:{label:"Japonais", color:"#16a085"}, + it:{label:"Italien", color:"#d35400"}, ko:{label:"Coréen", color:"#2980b9"}, +}; +const mainLangs = Object.keys(langMeta); +const getLang = c => langMeta[c]?.label ?? c.toUpperCase(); +const getColor = c => langMeta[c]?.color ?? "#888"; +``` + +```js +// Year slider +const yr = view((() => { + const min=1970,max=2025; + const c=document.createElement("div"); c.style.cssText="display:flex;flex-direction:column;gap:4px;max-width:300px;font-family:var(--sans-serif);font-size:12px;"; + const top=document.createElement("div"); top.style.cssText="display:flex;justify-content:space-between;"; + const lbl=document.createElement("span"); lbl.style.cssText="font-weight:700;font-size:10px;text-transform:uppercase;letter-spacing:.06em;color:var(--theme-foreground-muted)"; lbl.textContent="Période"; + const out=document.createElement("span"); out.style.cssText="font-weight:600;color:#f5a623;font-size:12px;"; out.textContent=`${min} – ${max}`; top.append(lbl,out); + const tw=document.createElement("div"); tw.className="drs-wrap"; + const tr=document.createElement("div"); tr.className="drs-track"; + const fi=document.createElement("div"); fi.className="drs-fill"; + const lo=document.createElement("input"); lo.type="range"; lo.min=min; lo.max=max; lo.value=min; + const hi=document.createElement("input"); hi.type="range"; hi.min=min; hi.max=max; hi.value=max; + function u(){const l=Math.min(+lo.value,+hi.value),h=Math.max(+lo.value,+hi.value);fi.style.left=(l-min)/(max-min)*100+"%";fi.style.width=(h-l)/(max-min)*100+"%";out.textContent=`${l} – ${h}`;c.value=[l,h];c.dispatchEvent(new Event("input",{bubbles:true}));} + lo.addEventListener("input",()=>{if(+lo.value>+hi.value)lo.value=hi.value;u();}); + hi.addEventListener("input",()=>{if(+hi.value<+lo.value)hi.value=lo.value;u();}); + tw.append(tr,fi,lo,hi); c.append(top,tw); u(); return c; +})()); +``` + +```js +// Feature selector +const selFeature = view(Inputs.select( + ["danceability","energy","valence","acousticness","loudness","tempo"], + {label:"Feature", value:"danceability", + format:f=>({danceability:"Danceability",energy:"Energy",valence:"Valence",acousticness:"Acousticness",loudness:"Loudness (dB)",tempo:"Tempo (BPM)"})[f]??f} +)); +``` + +
+
Filtres :
+
Période
${yr}
+
Feature
${selFeature}
+
+ +
+

${selFeature} par langue · ${yr[0]}–${yr[1]}

+ +```js +const filtLang = audioLang.filter(d => + mainLangs.includes(d.language_code) && + +d.release_year >= yr[0] && + +d.release_year <= yr[1] +); + +const yLabel = { + danceability:"Danceability", energy:"Energy", valence:"Valence", + acousticness:"Acousticness", loudness:"Loudness (dB)", tempo:"Tempo (BPM)" +}[selFeature] ?? selFeature; + +display(Plot.plot({ + width, height:300, marginLeft:58, marginBottom:40, + x:{label:"Année"}, + y:{label:yLabel, grid:true}, + color:{ + domain:mainLangs, range:mainLangs.map(getColor), + legend:true, tickFormat:getLang, columns:4 + }, + marks:[ + Plot.line(filtLang,{ + x:d=>+d.release_year, y:d=>+d[selFeature], stroke:"language_code", + strokeWidth:2, curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\n${yLabel}: ${(+d[selFeature]).toFixed(3)}` + }) + ] +})); +``` + +
+ +## Profil radar par genre (top 8) + +```js +// Radar chart — manual SVG (Observable Plot ne supporte pas nativement le radar) +const radarGenres = audioGenre.slice(0,8); +const radarFeats = ["danceability","energy","valence","acousticness","speechiness","instrumentalness"]; +const radarLabels = ["Dance","Energy","Valence","Acoustic","Speech","Instrumental"]; + +const rW=480, rH=420, rCx=rW/2, rCy=rH/2-10, rR=140; +const NS="http://www.w3.org/2000/svg"; +const svg=document.createElementNS(NS,"svg"); +svg.setAttribute("viewBox",`0 0 ${rW} ${rH}`); +svg.setAttribute("width",Math.min(width,rW)); svg.setAttribute("height",rH); +svg.style.display="block"; + +// Grid circles +[0.25,0.5,0.75,1].forEach(r=>{ + const c=document.createElementNS(NS,"circle"); + c.setAttribute("cx",rCx); c.setAttribute("cy",rCy); + c.setAttribute("r",rR*r); + c.setAttribute("fill","none"); c.setAttribute("stroke","#ddd"); c.setAttribute("stroke-width","1"); + svg.appendChild(c); +}); + +// Axes + labels +radarFeats.forEach((feat,i)=>{ + const angle=-Math.PI/2 + (i/radarFeats.length)*2*Math.PI; + const x=rCx+rR*Math.cos(angle), y=rCy+rR*Math.sin(angle); + const line=document.createElementNS(NS,"line"); + line.setAttribute("x1",rCx); line.setAttribute("y1",rCy); + line.setAttribute("x2",x); line.setAttribute("y2",y); + line.setAttribute("stroke","#ddd"); line.setAttribute("stroke-width","1"); + svg.appendChild(line); + const lx=rCx+(rR+18)*Math.cos(angle), ly=rCy+(rR+18)*Math.sin(angle); + const txt=document.createElementNS(NS,"text"); + txt.setAttribute("x",lx); txt.setAttribute("y",ly); + txt.setAttribute("text-anchor","middle"); txt.setAttribute("dominant-baseline","middle"); + txt.setAttribute("font-size","11"); txt.setAttribute("font-weight","700"); + txt.setAttribute("font-family","var(--sans-serif)"); txt.setAttribute("fill","var(--theme-foreground-muted)"); + txt.textContent=radarLabels[i]; svg.appendChild(txt); +}); + +// Genre polygons +radarGenres.forEach((g,gi)=>{ + const col=gColor[g.genre]??gPalette[gi%gPalette.length]; + const pts=radarFeats.map((feat,i)=>{ + const angle=-Math.PI/2+(i/radarFeats.length)*2*Math.PI; + const val=Math.min(1,Math.max(0,+g[feat])); + return [rCx+rR*val*Math.cos(angle), rCy+rR*val*Math.sin(angle)]; + }); + const poly=document.createElementNS(NS,"polygon"); + poly.setAttribute("points",pts.map(p=>p.join(",")).join(" ")); + poly.setAttribute("fill",col); poly.setAttribute("fill-opacity","0.15"); + poly.setAttribute("stroke",col); poly.setAttribute("stroke-width","2"); + const t=document.createElementNS(NS,"title"); + t.textContent=g.genre+"\n"+radarFeats.map((f,i)=>`${radarLabels[i]}: ${(+g[f]).toFixed(3)}`).join("\n"); + poly.appendChild(t); svg.appendChild(poly); +}); + +// Legend +const legY=rH-80; +radarGenres.forEach((g,i)=>{ + const col=gColor[g.genre]??gPalette[i%gPalette.length]; + const x=(i%4)*120+20, y=legY+Math.floor(i/4)*20; + const r=document.createElementNS(NS,"rect"); + r.setAttribute("x",x); r.setAttribute("y",y-7); + r.setAttribute("width",12); r.setAttribute("height",5); + r.setAttribute("fill",col); r.setAttribute("rx","2"); + const t=document.createElementNS(NS,"text"); + t.setAttribute("x",x+16); t.setAttribute("y",y); + t.setAttribute("font-size","10"); t.setAttribute("font-family","var(--sans-serif)"); + t.setAttribute("fill","var(--theme-foreground)"); t.setAttribute("dominant-baseline","middle"); + t.textContent=g.genre.length>14?g.genre.slice(0,13)+"…":g.genre; + svg.appendChild(r); svg.appendChild(t); +}); + +display(svg); +``` diff --git a/hello-framework/src/data/_db.js b/hello-framework/src/data/_db.js new file mode 100644 index 0000000..4f87ea5 --- /dev/null +++ b/hello-framework/src/data/_db.js @@ -0,0 +1,44 @@ +import { createRequire } from "module"; +import { readFileSync } from "fs"; +import { fileURLToPath } from "url"; +import { dirname, join } from "path"; + +// Manually load .env to stderr to avoid polluting stdout (used by Observable loaders) +const __dirname = dirname(fileURLToPath(import.meta.url)); +try { + const envPath = join(__dirname, "../../.env"); + const envContent = readFileSync(envPath, "utf-8"); + for (const line of envContent.split("\n")) { + const trimmed = line.trim(); + if (!trimmed || trimmed.startsWith("#")) continue; + const eq = trimmed.indexOf("="); + if (eq < 0) continue; + const key = trimmed.slice(0, eq).trim(); + const val = trimmed.slice(eq + 1).trim().replace(/^["']|["']$/g, ""); + if (!(key in process.env)) process.env[key] = val; + } +} catch (_) { + // .env not present — rely on shell environment +} + +const require = createRequire(import.meta.url); +const pg = require("pg"); +const { Client } = pg; + +export async function query(sql, params = []) { + const client = new Client({ + host: process.env.PGHOST || "kerboul.me", + port: parseInt(process.env.PGPORT || "15433"), + user: process.env.PGUSER || "spotify", + password: process.env.PGPASSWORD || "Sp0tify-DB-2026!Kerboul", + database: process.env.PGDATABASE || "spotify", + statement_timeout: 120000, + }); + await client.connect(); + try { + const result = await client.query(sql, params); + return result.rows; + } finally { + await client.end(); + } +} diff --git a/hello-framework/src/data/audio_features_genre.json.js b/hello-framework/src/data/audio_features_genre.json.js new file mode 100644 index 0000000..c4eac2e --- /dev/null +++ b/hello-framework/src/data/audio_features_genre.json.js @@ -0,0 +1,37 @@ +import { query } from "./_db.js"; + +// Get top 20 genres from agg table (fast), then compute audio features with TABLESAMPLE (fast) +const rows = await query(` + WITH top_genres AS ( + SELECT genre + FROM ( + SELECT genre, SUM(track_count) AS total + FROM agg_genre_year + WHERE release_year >= 1970 + GROUP BY genre + ORDER BY total DESC + LIMIT 20 + ) t + ) + SELECT + TRIM(g) AS genre, + COUNT(*) AS track_count, + ROUND(AVG(danceability)::numeric, 4) AS danceability, + ROUND(AVG(energy)::numeric, 4) AS energy, + ROUND(AVG(valence)::numeric, 4) AS valence, + ROUND(AVG(tempo)::numeric, 2) AS tempo, + ROUND(AVG(acousticness)::numeric, 4) AS acousticness, + ROUND(AVG(loudness)::numeric, 3) AS loudness, + ROUND(AVG(speechiness)::numeric, 4) AS speechiness, + ROUND(AVG(instrumentalness)::numeric, 4) AS instrumentalness + FROM track_details TABLESAMPLE SYSTEM(15), + LATERAL unnest(string_to_array(genres, ' | ')) AS g + WHERE genres IS NOT NULL + AND release_year >= 1970 + AND TRIM(g) IN (SELECT genre FROM top_genres) + GROUP BY TRIM(g) + HAVING COUNT(*) > 20 + ORDER BY track_count DESC +`); + +process.stdout.write(JSON.stringify(rows)); diff --git a/hello-framework/src/data/audio_features_lang_year.json.js b/hello-framework/src/data/audio_features_lang_year.json.js new file mode 100644 index 0000000..136a9ce --- /dev/null +++ b/hello-framework/src/data/audio_features_lang_year.json.js @@ -0,0 +1,23 @@ +import { query } from "./_db.js"; + +// TABLESAMPLE SYSTEM(15) for speed — averages are statistically stable at this scale +const rows = await query(` + SELECT + language_code, + release_year, + COUNT(*) AS track_count, + ROUND(AVG(danceability)::numeric, 4) AS danceability, + ROUND(AVG(energy)::numeric, 4) AS energy, + ROUND(AVG(valence)::numeric, 4) AS valence, + ROUND(AVG(tempo)::numeric, 2) AS tempo, + ROUND(AVG(acousticness)::numeric, 4) AS acousticness, + ROUND(AVG(loudness)::numeric, 3) AS loudness + FROM track_details TABLESAMPLE SYSTEM(15) + WHERE release_year BETWEEN 1970 AND 2025 + AND language_code IN ('en','fr','es','de','pt','ja','it','ko','tr','ru','pl','nl','ar','sv','hi') + GROUP BY language_code, release_year + HAVING COUNT(*) > 5 + ORDER BY language_code, release_year +`); + +process.stdout.write(JSON.stringify(rows)); diff --git a/hello-framework/src/data/audio_features_year.json.js b/hello-framework/src/data/audio_features_year.json.js new file mode 100644 index 0000000..8144bb0 --- /dev/null +++ b/hello-framework/src/data/audio_features_year.json.js @@ -0,0 +1,24 @@ +import { query } from "./_db.js"; + +// TABLESAMPLE SYSTEM(15) : ~1.5M rows instead of 9.8M — statistically equivalent averages +const rows = await query(` + SELECT + release_year, + COUNT(*) AS track_count, + ROUND(AVG(danceability)::numeric, 4) AS danceability, + ROUND(AVG(energy)::numeric, 4) AS energy, + ROUND(AVG(valence)::numeric, 4) AS valence, + ROUND(AVG(tempo)::numeric, 2) AS tempo, + ROUND(AVG(acousticness)::numeric, 4) AS acousticness, + ROUND(AVG(loudness)::numeric, 3) AS loudness, + ROUND(AVG(speechiness)::numeric, 4) AS speechiness, + ROUND(AVG(instrumentalness)::numeric, 4) AS instrumentalness, + ROUND(AVG(liveness)::numeric, 4) AS liveness + FROM track_details TABLESAMPLE SYSTEM(15) + WHERE release_year BETWEEN 1970 AND 2025 + GROUP BY release_year + HAVING COUNT(*) > 10 + ORDER BY release_year +`); + +process.stdout.write(JSON.stringify(rows)); diff --git a/hello-framework/src/data/genre_language_year.json.js b/hello-framework/src/data/genre_language_year.json.js new file mode 100644 index 0000000..919d08e --- /dev/null +++ b/hello-framework/src/data/genre_language_year.json.js @@ -0,0 +1,10 @@ +import { query } from "./_db.js"; + +const rows = await query(` + SELECT genre, language_code, release_year, track_count, avg_duration_ms, avg_track_popularity + FROM agg_genre_language_year + WHERE release_year BETWEEN 1970 AND 2025 + ORDER BY release_year, genre, language_code +`); + +process.stdout.write(JSON.stringify(rows)); diff --git a/hello-framework/src/data/genre_year.json.js b/hello-framework/src/data/genre_year.json.js new file mode 100644 index 0000000..db9bc2b --- /dev/null +++ b/hello-framework/src/data/genre_year.json.js @@ -0,0 +1,10 @@ +import { query } from "./_db.js"; + +const rows = await query(` + SELECT genre, release_year, track_count, avg_duration_ms, avg_track_popularity + FROM agg_genre_year + WHERE release_year BETWEEN 1970 AND 2025 + ORDER BY release_year, genre +`); + +process.stdout.write(JSON.stringify(rows)); diff --git a/hello-framework/src/data/inspect_db.py b/hello-framework/src/data/inspect_db.py new file mode 100644 index 0000000..94dacbd --- /dev/null +++ b/hello-framework/src/data/inspect_db.py @@ -0,0 +1,11 @@ +import sqlite3 +conn = sqlite3.connect('spotify_analytics_compact.sqlite3') +cur = conn.cursor() +cur.execute("SELECT name FROM sqlite_master WHERE type='table'") +tables = [t[0] for t in cur.fetchall()] +print('TABLES:', tables) +for t in tables: + cols = [d[0] for d in conn.execute('PRAGMA table_info(' + t + ')').fetchall()] + print(t, '->', cols) + row = conn.execute('SELECT * FROM ' + t + ' LIMIT 2').fetchall() + print(' sample:', row) diff --git a/hello-framework/src/data/language_year.json.js b/hello-framework/src/data/language_year.json.js new file mode 100644 index 0000000..58c8898 --- /dev/null +++ b/hello-framework/src/data/language_year.json.js @@ -0,0 +1,10 @@ +import { query } from "./_db.js"; + +const rows = await query(` + SELECT language_code, release_year, track_count, avg_duration_ms, avg_track_popularity + FROM agg_language_year + WHERE release_year BETWEEN 1960 AND 2025 + ORDER BY release_year, language_code +`); + +process.stdout.write(JSON.stringify(rows)); diff --git a/hello-framework/src/data/spotify_analytics_compact.sqlite3 b/hello-framework/src/data/spotify_analytics_compact.sqlite3 new file mode 100644 index 0000000000000000000000000000000000000000..a0edab8fe21c944384c8ffd88a196ecdfa00e309 GIT binary patch literal 1826816 zcmeFacX$&=7w{`-)w`?QB^OzeZ7{vqmONv6?>$swIySw8x{^!@2@pbuP(lfzCe+YP z@4Yu0cRPd@dI;p6SxLyY*6(+p``5kC&AxhPiRZUxW@l$-=A1b*+o4^{!DG^N12RSp z?>k0UlcVNvxg4a^aX1_)hr>MrXV)QufAC%Z0cUQRe^>TTDW~c;z6yvHNkcfwkqV>i zvaF#rTRH^(^S|T268NtK{wsn1O5nc|_^$;1D}nz?;QwVM&{8DS==HoFWBT?RmNt6i zFc>KI9zCY-nCfN!%{|hfeIwklk**_7Y1v3uHp)1r->|sB{U^kci%g@0B29QakJb)O z@1HgS{@lCoz=6GoO=QBp=>y019hla8Vp`u(+=EVu&005X)K%vub!}SfJZR%E*R`n` z{nO%fqtb?@^&RbyWa=+~G)+8OQZCJbOqv7J(nmQHoXeWvz=^H|-KdfIXN6Q~5nrT< 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+

History of Music

+

Évolution des genres musicaux par langue · données Spotify · Anna's Archive 2025

+
+ +```js +const rawData = await FileAttachment("data/genre_language_year.json").json(); +const langYearData = await FileAttachment("data/language_year.json").json(); + +const topGenresQ = [...d3.rollup(rawData, v => d3.sum(v, d=>+d.track_count), d=>d.genre).entries()] + .sort((a,b)=>b[1]-a[1]).slice(0,12).map(d=>d[0]); + +// Discover top languages from data +const topLangsQ = [...d3.rollup(rawData, v=>d3.sum(v,d=>+d.track_count), d=>d.language_code).entries()] + .sort((a,b)=>b[1]-a[1]).slice(0,10).map(d=>d[0]); + +const langMeta = { + en:{label:"Anglais", color:"#1a75cc"}, + es:{label:"Espagnol", color:"#e84040"}, + fr:{label:"Français", color:"#9b59b6"}, + de:{label:"Allemand", color:"#f5a623"}, + pt:{label:"Portugais", color:"#e91e8c"}, + ja:{label:"Japonais", color:"#16a085"}, + it:{label:"Italien", color:"#d35400"}, + ko:{label:"Coréen", color:"#2980b9"}, + tr:{label:"Turc", color:"#8e44ad"}, + ru:{label:"Russe", color:"#c0392b"}, + pl:{label:"Polonais", color:"#27ae60"}, + nl:{label:"Néerlandais",color:"#1abc9c"}, +}; +const getLang = code => langMeta[code]?.label ?? code.toUpperCase(); +const getLangColor = code => langMeta[code]?.color ?? "#888"; +``` + +```js +// ① Year range slider +const yearRange = view((() => { + const min=1970, max=2025; + const c = document.createElement("div"); + c.style.cssText="display:flex;flex-direction:column;gap:4px;min-width:240px;max-width:320px;font-family:var(--sans-serif);font-size:13px;"; + const top = document.createElement("div"); + top.style.cssText="display:flex;justify-content:space-between;align-items:center;"; + const lbl=document.createElement("span"); + lbl.style.cssText="font-weight:700;font-size:11px;text-transform:uppercase;letter-spacing:.05em;color:var(--theme-foreground-muted)"; + lbl.textContent="① Période"; + const out=document.createElement("span"); + out.style.cssText="font-weight:600;color:#1DB954;font-size:13px;"; + out.textContent=`${min} – ${max}`; + top.append(lbl,out); + const tw=document.createElement("div"); tw.className="drs-wrap"; + const track=document.createElement("div"); track.className="drs-track"; + const fill=document.createElement("div"); fill.className="drs-fill"; + const lo=document.createElement("input"); lo.type="range"; lo.min=min; lo.max=max; lo.value=min; + const hi=document.createElement("input"); hi.type="range"; hi.min=min; hi.max=max; hi.value=max; + function upd(){ + const l=Math.min(+lo.value,+hi.value), h=Math.max(+lo.value,+hi.value); + fill.style.left=(l-min)/(max-min)*100+"%"; fill.style.width=(h-l)/(max-min)*100+"%"; + out.textContent=`${l} – ${h}`; c.value=[l,h]; c.dispatchEvent(new Event("input",{bubbles:true})); + } + lo.addEventListener("input",()=>{if(+lo.value>+hi.value)lo.value=hi.value;upd();}); + hi.addEventListener("input",()=>{if(+hi.value<+lo.value)hi.value=lo.value;upd();}); + tw.append(track,fill,lo,hi); c.append(top,tw); upd(); return c; +})()); +``` + +```js +// ② Language pills +const selectedLangs = view((() => { + const defaultOn=["en","fr","es","de"]; + const wrap=document.createElement("div"); + wrap.style.cssText="display:flex;flex-direction:column;gap:6px;"; + wrap.value=[...defaultOn]; + const lbl=document.createElement("div"); + lbl.style.cssText="font-weight:700;font-size:11px;text-transform:uppercase;letter-spacing:.05em;color:var(--theme-foreground-muted)"; + lbl.textContent="② Langues"; + const row=document.createElement("div"); row.className="lang-pills"; + topLangsQ.forEach(code=>{ + const on=defaultOn.includes(code); + const pill=document.createElement("button"); pill.className="lang-pill"; + pill.textContent=getLang(code); pill.dataset.code=code; pill.dataset.on=on?"1":"0"; + const col=getLangColor(code); + const sty=v=>{pill.style.borderColor=col;pill.style.background=v?col:"transparent";pill.style.color=v?"#fff":col;}; + sty(on); + pill.addEventListener("click",()=>{ + pill.dataset.on=pill.dataset.on==="1"?"0":"1"; sty(pill.dataset.on==="1"); + wrap.value=Array.from(row.querySelectorAll(".lang-pill[data-on='1']")).map(b=>b.dataset.code); + wrap.dispatchEvent(new Event("input",{bubbles:true})); + }); + row.appendChild(pill); + }); + wrap.append(lbl,row); return wrap; +})()); +``` + +```js +// ③ Genre filter +const genreFilter = view((() => { + const opts=["Tous",...topGenresQ]; + const sel=document.createElement("select"); + sel.style.cssText="padding:4px 10px;border-radius:8px;border:1.5px solid #ccc;font-family:var(--sans-serif);font-size:12px;background:var(--theme-background);color:var(--theme-foreground);cursor:pointer;"; + opts.forEach(g=>{ + const opt=document.createElement("option"); + opt.value=g; opt.textContent=g==="Tous"?"Tous les genres":g; sel.appendChild(opt); + }); + const wrap=document.createElement("div"); wrap.style.cssText="display:flex;flex-direction:column;gap:6px;"; + const lbl=document.createElement("div"); + lbl.style.cssText="font-weight:700;font-size:11px;text-transform:uppercase;letter-spacing:.05em;color:var(--theme-foreground-muted)"; + lbl.textContent="③ Genre"; + sel.addEventListener("change",()=>{wrap.value=sel.value;wrap.dispatchEvent(new Event("input",{bubbles:true}));}); + wrap.value="Tous"; wrap.append(lbl,sel); return wrap; +})()); +``` + +```js +// ④ Display mode +const normalised = view((() => { + const wrap=document.createElement("div"); wrap.style.cssText="display:flex;flex-direction:column;gap:6px;"; wrap.value=false; + const lbl=document.createElement("div"); + lbl.style.cssText="font-weight:700;font-size:11px;text-transform:uppercase;letter-spacing:.05em;color:var(--theme-foreground-muted)"; + lbl.textContent="④ Affichage"; + const btns=document.createElement("div"); btns.className="mode-btns"; + const b1=document.createElement("button"); b1.className="mode-btn"; b1.textContent="Absolu"; b1.dataset.on="1"; + const b2=document.createElement("button"); b2.className="mode-btn"; b2.textContent="Normalisé (%)"; b2.dataset.on="0"; + b1.addEventListener("click",()=>{b1.dataset.on="1";b2.dataset.on="0";wrap.value=false;wrap.dispatchEvent(new Event("input",{bubbles:true}));}); + b2.addEventListener("click",()=>{b1.dataset.on="0";b2.dataset.on="1";wrap.value=true; wrap.dispatchEvent(new Event("input",{bubbles:true}));}); + btns.append(b1,b2); wrap.append(lbl,btns); return wrap; +})()); +``` + +
+
${yearRange}
+
${selectedLangs}
+
${genreFilter}
+
${normalised}
+
+ +```js +const raw = rawData; +const filtered = raw.filter(d => + selectedLangs.includes(d.language_code) && + +d.release_year >= yearRange[0] && + +d.release_year <= yearRange[1] && + (genreFilter === "Tous" ? topGenresQ.includes(d.genre) : d.genre === genreFilter) +); + +// Aggregate by genre + year +const areaMap = new Map(); +const yearsSet = new Set(); +const genresPresent = new Set(); +for (const d of filtered) { + const key = `${d.genre}|${d.release_year}`; + areaMap.set(key, (areaMap.get(key) ?? 0) + +d.track_count); + yearsSet.add(+d.release_year); + genresPresent.add(d.genre); +} + +const genreList = genreFilter==="Tous" + ? topGenresQ.filter(g=>genresPresent.has(g)) + : [genreFilter]; + +const palette = ["#1DB954","#1a75cc","#e84040","#f5a623","#9b59b6","#e91e8c", + "#16a085","#d35400","#2980b9","#27ae60","#8e44ad","#c0392b"]; +const gColor = Object.fromEntries(genreList.map((g,i)=>[g,palette[i%palette.length]])); + +let plotData = []; +for (const year of [...yearsSet].sort((a,b)=>a-b)) { + for (const genre of genresPresent) { + plotData.push({ year, genre, count: areaMap.get(`${genre}|${year}`) ?? 0 }); + } +} +if (normalised) { + const yt = new Map(); + for (const d of plotData) yt.set(d.year,(yt.get(d.year)??0)+d.count); + plotData = plotData.map(d=>({...d, count: yt.get(d.year)>0 ? d.count/yt.get(d.year)*100 : 0})); +} + +// Pie data +const langPieData = topLangsQ.map(code => { + const total = raw.filter(d=>d.language_code===code && +d.release_year>=yearRange[0] && +d.release_year<=yearRange[1]) + .reduce((s,d)=>s+(+d.track_count),0); + return {lang:code, label:getLang(code), count:total, color:getLangColor(code)}; +}).filter(d=>d.count>0); +const pieTotal = langPieData.reduce((s,d)=>s+d.count,0); +``` + +
+
+

Évolution des genres${normalised ? " (normalisé, %)" : " (nombre de titres)"}

+ +```js +display(Plot.plot({ + width: Math.max(400, width - 320), + height: 380, + marginLeft: 55, + marginBottom: 45, + x: { label: "Année →", tickFormat: d=>String(d) }, + y: { + label: normalised ? "Part (%)" : "Nombre de titres →", + grid: true, + tickFormat: normalised ? d=>d.toFixed(0)+"%" : "s" + }, + color: { + domain: genreList, + range: genreList.map(g=>gColor[g]), + legend: true, columns: 4 + }, + marks: [ + Plot.areaY(plotData, { + x: "year", y: "count", fill: "genre", order: genreList, + curve: "monotone-x", tip: true, + title: d=>`${d.genre} · ${d.year}\n${normalised ? d.count.toFixed(1)+"%" : Number(d.count).toLocaleString()+" titres"}` + }), + Plot.ruleY([0]) + ] +})); +``` + +
+
+

Part des langues · ${yearRange[0]}–${yearRange[1]}

+ +```js +const PW=220, PH=220, R=80, r=40, cx=PW/2, cy=PH/2; +let cum=-Math.PI/2; +const arcs=langPieData.map(d=>{ + const a=(d.count/pieTotal)*2*Math.PI; + const a0=cum, a1=cum+a; cum=a1; + return {...d, a0, a1, mid:(a0+a1)/2, pct:(d.count/pieTotal*100).toFixed(1)}; +}); +function arcPath(a0,a1,R,r){ + const x0=cx+R*Math.cos(a0),y0=cy+R*Math.sin(a0); + const x1=cx+R*Math.cos(a1),y1=cy+R*Math.sin(a1); + const x2=cx+r*Math.cos(a1),y2=cy+r*Math.sin(a1); + const x3=cx+r*Math.cos(a0),y3=cy+r*Math.sin(a0); + const lg=(a1-a0)>Math.PI?1:0; + return `M${x0} ${y0} A${R} ${R} 0 ${lg} 1 ${x1} ${y1} L${x2} ${y2} A${r} ${r} 0 ${lg} 0 ${x3} ${y3}Z`; +} +const NS="http://www.w3.org/2000/svg"; +const svg=document.createElementNS(NS,"svg"); +svg.setAttribute("viewBox",`0 0 ${PW} ${PH}`); +svg.setAttribute("width",PW); svg.setAttribute("height",PH); +svg.style.cssText="display:block;margin:0 auto;"; +arcs.forEach(a=>{ + const p=document.createElementNS(NS,"path"); + p.setAttribute("d",arcPath(a.a0,a.a1,R,r)); + p.setAttribute("fill",a.color); + p.setAttribute("stroke",selectedLangs.includes(a.lang)?"#fff":"var(--theme-background)"); + p.setAttribute("stroke-width",selectedLangs.includes(a.lang)?"3":"1.5"); + p.style.opacity=selectedLangs.includes(a.lang)?"1":"0.3"; + const t=document.createElementNS(NS,"title"); + t.textContent=`${a.label}: ${a.pct}% (${a.count.toLocaleString()} titres)`; + p.appendChild(t); svg.appendChild(p); + if(a.a1-a.a0>0.3){ + const lx=cx+(R*0.7)*Math.cos(a.mid), ly=cy+(R*0.7)*Math.sin(a.mid); + const txt=document.createElementNS(NS,"text"); + txt.setAttribute("x",lx); txt.setAttribute("y",ly); + txt.setAttribute("text-anchor","middle"); txt.setAttribute("dominant-baseline","middle"); + txt.setAttribute("fill","#fff"); txt.setAttribute("font-size","10"); + txt.setAttribute("font-weight","700"); txt.setAttribute("font-family","var(--sans-serif)"); + txt.textContent=a.pct+"%"; svg.appendChild(txt); + } +}); +const ct=document.createElementNS(NS,"text"); +ct.setAttribute("x",cx); ct.setAttribute("y",cy-7); ct.setAttribute("text-anchor","middle"); +ct.setAttribute("dominant-baseline","middle"); ct.setAttribute("font-size","12"); +ct.setAttribute("font-weight","700"); ct.setAttribute("font-family","var(--sans-serif)"); +ct.setAttribute("fill","var(--theme-foreground)"); +ct.textContent=pieTotal.toLocaleString(); svg.appendChild(ct); +const cs=document.createElementNS(NS,"text"); +cs.setAttribute("x",cx); cs.setAttribute("y",cy+10); cs.setAttribute("text-anchor","middle"); +cs.setAttribute("font-size","9"); cs.setAttribute("font-family","var(--sans-serif)"); +cs.setAttribute("fill","var(--theme-foreground-muted)"); cs.textContent="titres"; svg.appendChild(cs); +display(svg); +``` + +```js +const leg=document.createElement("div"); +leg.style.cssText="margin-top:8px;font-family:var(--sans-serif);font-size:11px;display:flex;flex-direction:column;gap:3px;"; +// arcs has pct; langPieData does not — iterate arcs for the legend +arcs.forEach(d=>{ + const row=document.createElement("div"); row.style.cssText="display:flex;align-items:center;gap:6px;"; + const dot=document.createElement("span"); + dot.style.cssText=`width:10px;height:10px;border-radius:2px;background:${d.color};flex-shrink:0;opacity:${selectedLangs.includes(d.lang)?1:0.3};`; + const info=document.createElement("span"); + info.style.cssText=`color:${selectedLangs.includes(d.lang)?"var(--theme-foreground)":"var(--theme-foreground-muted)"};`; + info.textContent=`${d.label} — ${d.pct}%`; + row.append(dot,info); leg.appendChild(row); +}); +display(leg); +``` + +
+
+ +
+

Synthèse · sélection courante

+ +```js +const byG = new Map(); +for (const d of filtered) byG.set(d.genre,(byG.get(d.genre)??0)+(+d.track_count)); +const sorted=[...byG.entries()].sort((a,b)=>b[1]-a[1]); +const totalSel=sorted.reduce((s,[,v])=>s+v,0); + +if(sorted.length>0){ + const detailDiv=document.createElement("div"); detailDiv.className="detail-grid"; + [ + {k:"Langues",v:selectedLangs.map(getLang).join(", ")||"—"}, + {k:"Période",v:`${yearRange[0]} – ${yearRange[1]}`}, + {k:"Genre dominant",v:sorted[0][0]}, + {k:"Part dom.",v:totalSel>0 ? (sorted[0][1]/totalSel*100).toFixed(1)+" %" : "—"}, + {k:"Titres (dom.)",v:sorted[0][1].toLocaleString()}, + {k:"Total titres",v:totalSel.toLocaleString()}, + ].forEach(({k,v})=>{ + const it=document.createElement("div"); it.className="detail-item"; + const kk=document.createElement("span"); kk.className="detail-key"; kk.textContent=k; + const vv=document.createElement("span"); vv.className="detail-val"; vv.textContent=v; + it.append(kk,vv); detailDiv.appendChild(it); + }); + + const barDiv=document.createElement("div"); barDiv.style.cssText="width:100%;margin-top:12px;"; + const bt=document.createElement("div"); + bt.style.cssText="font-size:10px;font-weight:700;text-transform:uppercase;letter-spacing:.05em;color:var(--theme-foreground-muted);margin-bottom:6px;"; + bt.textContent="Top 5 genres"; barDiv.appendChild(bt); + sorted.slice(0,5).forEach(([g,cnt],i)=>{ + const row=document.createElement("div"); row.style.cssText="display:flex;align-items:center;gap:8px;margin-bottom:4px;font-size:11px;"; + const nm=document.createElement("span"); nm.style.cssText="min-width:120px;"; nm.textContent=g; + const bw=document.createElement("div"); bw.style.cssText="flex:1;background:#eee;border-radius:3px;height:8px;overflow:hidden;"; + const b=document.createElement("div"); + const barPct = sorted[0][1] > 0 ? (cnt/sorted[0][1]*100).toFixed(1) : "0"; + b.style.cssText=`width:${barPct}%;height:100%;background:${gColor[g]??palette[i%palette.length]};border-radius:3px;`; + bw.appendChild(b); + const cs=document.createElement("span"); cs.style.cssText="min-width:55px;text-align:right;color:var(--theme-foreground-muted);"; cs.textContent=cnt.toLocaleString(); + row.append(nm,bw,cs); barDiv.appendChild(row); + }); + display(detailDiv); display(barDiv); +} else { + const p=document.createElement("p"); p.style.cssText="color:var(--theme-foreground-muted);font-style:italic;margin:0;"; + p.textContent="Aucune donnée. Sélectionnez au moins une langue."; display(p); +} +``` + +
+ +## Popularité et durée moyenne par langue + +```js +const lyFiltered = langYearData.filter(d => + selectedLangs.includes(d.language_code) && + +d.release_year >= yearRange[0] && + +d.release_year <= yearRange[1] +); + +const langDomain = selectedLangs; +const langRange = selectedLangs.map(l => getLangColor(l)); + +const popChart = Plot.plot({ + width: Math.floor(width/2)-8, + height: 200, marginLeft: 50, marginBottom: 40, + x: {label:"Année"}, + y: {label:"Popularité moy.", grid:true}, + color: {domain:langDomain, range:langRange, legend:false, + tickFormat: l=>getLang(l)}, + marks:[ + Plot.line(lyFiltered,{x:d=>+d.release_year,y:d=>+d.avg_track_popularity, + stroke:"language_code",strokeWidth:2,curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\nPop: ${(+d.avg_track_popularity).toFixed(1)}`}), + Plot.dot(lyFiltered,{x:d=>+d.release_year,y:d=>+d.avg_track_popularity, + stroke:"language_code",r:2}) + ] +}); + +const durChart = Plot.plot({ + width: Math.floor(width/2)-8, + height: 200, marginLeft: 58, marginBottom: 40, + x: {label:"Année"}, + y: {label:"Durée moy. (min)", grid:true}, + color: {domain:langDomain, range:langRange, + tickFormat: l=>getLang(l), legend:true, columns:4}, + marks:[ + Plot.line(lyFiltered,{x:d=>+d.release_year,y:d=>+d.avg_duration_ms/60000, + stroke:"language_code",strokeWidth:2,curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\nDurée: ${(+d.avg_duration_ms/60000).toFixed(2)} min`}), + Plot.dot(lyFiltered,{x:d=>+d.release_year,y:d=>+d.avg_duration_ms/60000, + stroke:"language_code",r:2}) + ] +}); + +const grid=document.createElement("div"); +grid.style.cssText="display:grid;grid-template-columns:1fr 1fr;gap:16px;"; +grid.append(popChart,durChart); +display(grid); +``` diff --git a/hello-framework/src/index.md b/hello-framework/src/index.md new file mode 100644 index 0000000..7d4ff8a --- /dev/null +++ b/hello-framework/src/index.md @@ -0,0 +1,264 @@ +--- +toc: false +--- + +
+

Spotify Analytics

+

9,8 millions de titres · 4 tables · données Anna's Archive 2025

+
+ + + +
+ + 📊 + Vue d'ensemble + Genres dominants, évolution globale + + + 🎵 + History of Music + Genres × langues × temps · stacked area + + + 🌍 + Tendances par langue + Volume, popularité, durée par langue + + + 🎛️ + Audio Features + DNA sonore des genres · énergie, danceability… + +
+ +```js +const genreYear = await FileAttachment("data/genre_year.json").json(); +const langYear = await FileAttachment("data/language_year.json").json(); +``` + +```js +// KPI computations +// Use langYear for total tracks (one language per track = no double-counting) +const totalTracks = d3.sum(langYear, d => +d.track_count); + +const byGenre = d3.rollup(genreYear, v => d3.sum(v, d => +d.track_count), d => d.genre); +const genreEntries = [...byGenre.entries()].sort((a,b) => b[1]-a[1]); +const topGenre = genreEntries[0] ?? ["—", 0]; + +const byLang = d3.rollup(langYear, v => d3.sum(v, d => +d.track_count), d => d.language_code); +const langEntries = [...byLang.entries()].sort((a,b) => b[1]-a[1]); +const topLang = langEntries[0] ?? ["—", 0]; + +const yearRange = d3.extent(genreYear, d => +d.release_year); + +const langLabel = {en:"Anglais",fr:"Français",es:"Espagnol",de:"Allemand",pt:"Portugais", + it:"Italien",ja:"Japonais",ko:"Coréen",ar:"Arabe",ru:"Russe",tr:"Turc",nl:"Néerlandais", + pl:"Polonais",sv:"Suédois",hi:"Hindi"}; +``` + +
+
+
Titres indexés
+
${(totalTracks/1e6).toFixed(1)}M
+
track_details
+
+
+
Genre dominant
+
${topGenre[0]}
+
${(topGenre[1]/1e3).toFixed(0)}k titres
+
+
+
Langue dominante
+
${langLabel[topLang[0]] ?? topLang[0]}
+
${(topLang[1]/1e3).toFixed(0)}k titres
+
+
+
Période couverte
+
${yearRange[0]}–${yearRange[1]}
+
${yearRange[1]-yearRange[0]+1} ans
+
+
+ +## Top 20 genres (toutes années) + +```js +const top20 = [...byGenre.entries()] + .sort((a,b) => b[1]-a[1]) + .slice(0, 20) + .map(([genre, total]) => ({ genre, total })); + +display(Plot.plot({ + marginLeft: 150, + marginRight: 10, + width, + height: 480, + x: { label: "Nombre de titres", tickFormat: "s" }, + y: { label: null }, + marks: [ + Plot.barX(top20, { + x: "total", + y: "genre", + sort: { y: "-x" }, + fill: "#1DB954", + tip: true, + title: d => `${d.genre}\n${d.total.toLocaleString()} titres` + }), + Plot.ruleX([0]) + ] +})); +``` + +## Évolution des top 12 genres (1970 – 2025) + +```js +const top12genres = [...byGenre.entries()].sort((a,b)=>b[1]-a[1]).slice(0,12).map(d=>d[0]); +const filteredGY = genreYear.filter(d => top12genres.includes(d.genre) && +d.release_year >= 1970); + +const palette12 = ["#1DB954","#1a75cc","#e84040","#f5a623","#9b59b6","#e91e8c", + "#16a085","#d35400","#2980b9","#27ae60","#8e44ad","#c0392b"]; +const genreColor = Object.fromEntries(top12genres.map((g,i) => [g, palette12[i]])); + +display(Plot.plot({ + width, + height: 340, + marginLeft: 55, + marginBottom: 40, + y: { label: "Titres", grid: true, tickFormat: "s" }, + color: { domain: top12genres, range: top12genres.map(g=>genreColor[g]), legend: true, columns: 4 }, + marks: [ + Plot.areaY(filteredGY, { + x: d => +d.release_year, + y: d => +d.track_count, + fill: "genre", + order: top12genres, + curve: "monotone-x", + tip: true, + title: d => `${d.genre} · ${d.release_year}\n${Number(d.track_count).toLocaleString()} titres` + }), + Plot.ruleY([0]) + ] +})); +``` + +## Popularité moyenne par langue (1970–2025) + +```js +const topLangs = [...byLang.entries()].sort((a,b)=>b[1]-a[1]).slice(0,8).map(d=>d[0]); +const langColors = ["#1DB954","#1a75cc","#e84040","#f5a623","#9b59b6","#e91e8c","#16a085","#d35400"]; +const lc = Object.fromEntries(topLangs.map((l,i)=>[l,langColors[i]])); + +const lyFiltered = langYear.filter(d => topLangs.includes(d.language_code) && +d.release_year >= 1970); + +display(Plot.plot({ + width, + height: 260, + marginLeft: 55, + marginBottom: 40, + y: { label: "Popularité moy.", grid: true }, + color: { + domain: topLangs, + range: topLangs.map(l=>lc[l]), + legend: true, + tickFormat: l => langLabel[l] ?? l.toUpperCase() + }, + marks: [ + Plot.line(lyFiltered, { + x: d => +d.release_year, + y: d => +d.avg_track_popularity, + stroke: "language_code", + curve: "monotone-x", + strokeWidth: 2, + tip: true, + title: d => `${langLabel[d.language_code]??d.language_code} · ${d.release_year}\nPopularité: ${(+d.avg_track_popularity).toFixed(1)}` + }) + ] +})); +``` diff --git a/hello-framework/src/language-trends.md b/hello-framework/src/language-trends.md new file mode 100644 index 0000000..067a409 --- /dev/null +++ b/hello-framework/src/language-trends.md @@ -0,0 +1,302 @@ +--- +toc: false +--- + + + +
+

Tendances par Langue

+

Évolution du volume, de la popularité et de la durée moyenne par langue · 1970–2025

+
+ +```js +const langYear = await FileAttachment("data/language_year.json").json(); + +const langMeta = { + en:{label:"Anglais", color:"#1a75cc"}, + es:{label:"Espagnol", color:"#e84040"}, + fr:{label:"Français", color:"#9b59b6"}, + de:{label:"Allemand", color:"#f5a623"}, + pt:{label:"Portugais", color:"#e91e8c"}, + ja:{label:"Japonais", color:"#16a085"}, + it:{label:"Italien", color:"#d35400"}, + ko:{label:"Coréen", color:"#2980b9"}, + tr:{label:"Turc", color:"#8e44ad"}, + ru:{label:"Russe", color:"#c0392b"}, + pl:{label:"Polonais", color:"#27ae60"}, + nl:{label:"Néerlandais",color:"#1abc9c"}, + ar:{label:"Arabe", color:"#f39c12"}, + sv:{label:"Suédois", color:"#3498db"}, + hi:{label:"Hindi", color:"#e74c3c"}, +}; +const getLang = c => langMeta[c]?.label ?? c.toUpperCase(); +const getColor = c => langMeta[c]?.color ?? "#888"; + +// All languages sorted by total +const allLangs = [...d3.rollup(langYear, v=>d3.sum(v,d=>+d.track_count), d=>d.language_code).entries()] + .sort((a,b)=>b[1]-a[1]).map(d=>d[0]); +``` + +```js +// Year slider +const yearRange = view((() => { + const min=1970, max=2025; + const c=document.createElement("div"); + c.style.cssText="display:flex;flex-direction:column;gap:4px;min-width:220px;max-width:300px;"; + const top=document.createElement("div"); top.style.cssText="display:flex;justify-content:space-between;"; + const lbl=document.createElement("span"); + lbl.style.cssText="font-weight:700;font-size:10px;text-transform:uppercase;letter-spacing:.06em;color:var(--theme-foreground-muted)"; + lbl.textContent="① Période"; + const out=document.createElement("span"); out.style.cssText="font-weight:600;color:#1a75cc;font-size:12px;"; + out.textContent=`${min} – ${max}`; top.append(lbl,out); + const tw=document.createElement("div"); tw.className="drs-wrap"; + const tr=document.createElement("div"); tr.className="drs-track"; + const fi=document.createElement("div"); fi.className="drs-fill"; + const lo=document.createElement("input"); lo.type="range"; lo.min=min; lo.max=max; lo.value=min; + const hi=document.createElement("input"); hi.type="range"; hi.min=min; hi.max=max; hi.value=max; + function u(){ + const l=Math.min(+lo.value,+hi.value), h=Math.max(+lo.value,+hi.value); + fi.style.left=(l-min)/(max-min)*100+"%"; fi.style.width=(h-l)/(max-min)*100+"%"; + out.textContent=`${l} – ${h}`; c.value=[l,h]; c.dispatchEvent(new Event("input",{bubbles:true})); + } + lo.addEventListener("input",()=>{if(+lo.value>+hi.value)lo.value=hi.value;u();}); + hi.addEventListener("input",()=>{if(+hi.value<+lo.value)hi.value=lo.value;u();}); + tw.append(tr,fi,lo,hi); c.append(top,tw); u(); return c; +})()); +``` + +```js +// Language pills (top 12) +const selectedLangs = view((() => { + const top12=allLangs.slice(0,12); + const def=["en","fr","es","de","pt","ja"]; + const wrap=document.createElement("div"); wrap.style.cssText="display:flex;flex-direction:column;gap:5px;"; wrap.value=[...def]; + const lbl=document.createElement("div"); + lbl.style.cssText="font-weight:700;font-size:10px;text-transform:uppercase;letter-spacing:.06em;color:var(--theme-foreground-muted)"; + lbl.textContent="② Langues"; + const row=document.createElement("div"); row.className="lang-pills"; + top12.forEach(code=>{ + const on=def.includes(code); + const pill=document.createElement("button"); pill.className="lang-pill"; + pill.textContent=getLang(code); pill.dataset.code=code; pill.dataset.on=on?"1":"0"; + const col=getColor(code); + const sty=v=>{pill.style.borderColor=col;pill.style.background=v?col:"transparent";pill.style.color=v?"#fff":col;}; + sty(on); + pill.addEventListener("click",()=>{ + pill.dataset.on=pill.dataset.on==="1"?"0":"1"; sty(pill.dataset.on==="1"); + wrap.value=Array.from(row.querySelectorAll(".lang-pill[data-on='1']")).map(b=>b.dataset.code); + wrap.dispatchEvent(new Event("input",{bubbles:true})); + }); + row.appendChild(pill); + }); + wrap.append(lbl,row); return wrap; +})()); +``` + +
+
${yearRange}
+
${selectedLangs}
+
+ +```js +const filtered = langYear.filter(d => + selectedLangs.includes(d.language_code) && + +d.release_year >= yearRange[0] && + +d.release_year <= yearRange[1] +); + +const langDomain = selectedLangs; +const langColors = selectedLangs.map(getColor); +``` + +
+

Volume de titres par langue (absolu)

+ +```js +display(Plot.plot({ + width, height:300, marginLeft:58, marginBottom:40, + x:{label:"Année"}, + y:{label:"Nombre de titres", grid:true, tickFormat:"s"}, + color:{domain:langDomain, range:langColors, legend:true, + tickFormat:getLang, columns:6}, + marks:[ + Plot.line(filtered,{ + x:d=>+d.release_year, y:d=>+d.track_count, stroke:"language_code", + strokeWidth:2, curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\n${Number(d.track_count).toLocaleString()} titres` + }), + Plot.dot(filtered,{x:d=>+d.release_year,y:d=>+d.track_count,stroke:"language_code",r:2}) + ] +})); +``` + +
+ +
+

Part relative par langue (normalisée, %)

+ +```js +// Compute share per year +const yearTotals = d3.rollup( + langYear.filter(d=>+d.release_year>=yearRange[0]&&+d.release_year<=yearRange[1]), + v=>d3.sum(v,d=>+d.track_count), d=>+d.release_year +); +const filteredPct = filtered.map(d=>({ + ...d, + pct: yearTotals.get(+d.release_year) > 0 + ? +d.track_count / yearTotals.get(+d.release_year) * 100 + : 0 +})); + +display(Plot.plot({ + width, height:300, marginLeft:50, marginBottom:40, + x:{label:"Année"}, + y:{label:"Part (%)", grid:true, tickFormat:d=>d.toFixed(0)+"%"}, + color:{domain:langDomain, range:langColors, legend:false}, + marks:[ + Plot.areaY(filteredPct,{ + x:d=>+d.release_year, y:"pct", fill:"language_code", + order:langDomain, curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\n${d.pct.toFixed(1)}%` + }), + Plot.ruleY([0]) + ] +})); +``` + +
+ +
+

Popularité moyenne & durée moyenne par langue

+ +```js +const popPlot = Plot.plot({ + width:Math.floor(width/2)-8, height:220, marginLeft:52, marginBottom:40, + x:{label:"Année"}, + y:{label:"Popularité moy.", grid:true}, + color:{domain:langDomain, range:langColors, legend:false}, + marks:[ + Plot.line(filtered,{ + x:d=>+d.release_year, y:d=>+d.avg_track_popularity, + stroke:"language_code", strokeWidth:2, curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\nPop: ${(+d.avg_track_popularity).toFixed(1)}` + }) + ] +}); +const durPlot = Plot.plot({ + width:Math.floor(width/2)-8, height:220, marginLeft:58, marginBottom:40, + x:{label:"Année"}, + y:{label:"Durée moy. (min)", grid:true}, + color:{domain:langDomain, range:langColors, legend:true, tickFormat:getLang, columns:4}, + marks:[ + Plot.line(filtered,{ + x:d=>+d.release_year, y:d=>+d.avg_duration_ms/60000, + stroke:"language_code", strokeWidth:2, curve:"monotone-x", + tip:true, title:d=>`${getLang(d.language_code)} · ${d.release_year}\nDurée: ${(+d.avg_duration_ms/60000).toFixed(2)} min` + }) + ] +}); +const g=document.createElement("div"); +g.style.cssText="display:grid;grid-template-columns:1fr 1fr;gap:16px;"; +g.append(popPlot,durPlot); display(g); +``` + +
+ +## Tableau récapitulatif · ${yearRange[0]}–${yearRange[1]} + +```js +const summary = allLangs.slice(0,15).map(code => { + const rows = langYear.filter(d=>d.language_code===code && +d.release_year>=yearRange[0] && +d.release_year<=yearRange[1]); + if (!rows.length) return null; + const total = d3.sum(rows, d=>+d.track_count); + const avgPop = d3.mean(rows, d=>+d.avg_track_popularity); + const avgDur = d3.mean(rows, d=>+d.avg_duration_ms); + const popTrend = rows.length > 4 + ? (+(rows[rows.length-1].avg_track_popularity) - +(rows[0].avg_track_popularity)).toFixed(1) + : "—"; + return {code, label:getLang(code), total, avgPop, avgDur, popTrend, color:getColor(code)}; +}).filter(Boolean); + +const maxTotal = Math.max(...summary.map(d=>d.total)); + +const table = document.createElement("table"); +table.className="stats-table"; +table.innerHTML=` + LangueTotal titresPop. moy.Durée moy.Tendance pop. +`; +const tbody=document.createElement("tbody"); +summary.forEach(d=>{ + const tr=document.createElement("tr"); + tr.innerHTML=` + ${d.label} + ${d.total.toLocaleString()} + ${d.avgPop ? d.avgPop.toFixed(1) : "—"} + ${d.avgDur ? (d.avgDur/60000).toFixed(2)+" min" : "—"} + ${d.popTrend!=="—"?(d.popTrend>0?"+":"")+d.popTrend:d.popTrend} + `; + tbody.appendChild(tr); +}); +table.appendChild(tbody); +display(table); +``` diff --git a/hello-framework/src/observable.png b/hello-framework/src/observable.png new file mode 100644 index 0000000000000000000000000000000000000000..cff4f44bc64d764f7051454316b752781f74f3ad GIT binary patch literal 394 zcmeAS@N?(olHy`uVBq!ia0vp^3LwnF3?v&v(vJfv-2k5uSN8&+j*gD@_Vx)ACICqY z8<~U%0!4sep-hDwP$OSSkY6yv9V-^eewEM1p0CMUo*5u05(Sj`=jq}Yq7j@rN#EN! zQKVh|ou2l#*4Eb3yB~ZKxX!~Yc*bwT$!%F?5qXFWfE;O$V zk7n>(w%yrd{T7Y`JFS=`R(wCObzM8dOCNj1nXma7YBEG6R=izn5a{l6W&7HKMcX1* zo-e53Vt*y>t;>9Jk+8=V-kH-H*KPAC(mk?p{tS0~f literal 0 HcmV?d00001

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