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Observable

\n $\"image@1.png\"$ \n

","pinned":false,"hidden":false,"mode":"html"},{"id":82,"value":"## Roger Veciana\n- geoexamples.com\n- observablehq.com/@rveciana\n- abzu.ai","pinned":false,"hidden":false,"mode":"md"},{"id":55,"value":"

Història

\n $\"image@3.png\"$ \n

\n $\"image@4.png\"$ \n

\n $\"image@5.png\"$ \n

\n","pinned":false,"hidden":false,"mode":"html"},{"id":102,"value":"# Reactivitat","pinned":false,"hidden":false,"mode":"md"},{"id":69,"value":"a = 23","pinned":false,"hidden":false,"mode":"ojs"},{"id":72,"value":"a","pinned":true,"hidden":false,"mode":"ojs"},{"id":86,"value":"html`\n \n`","pinned":true,"hidden":false,"mode":"ojs"},{"id":76,"value":"a + 20","pinned":true,"hidden":false,"mode":"ojs"},{"id":94,"value":"viewof b = Inputs.range([0, 110], {value: 33, step: 1, label: \"b\"})","pinned":true,"hidden":false,"mode":"ojs"},{"id":100,"value":"![image@6.png](${await FileAttachment(\"image@6.png\").url()})","pinned":false,"hidden":false,"mode":"md"},{"id":111,"value":"data = FileAttachment(\"seattle-weather.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs"},{"id":113,"value":"data","pinned":true,"hidden":false,"mode":"ojs"},{"id":123,"value":"Plot.plot({\n grid: true,\n width: width,\n marks: [\n Plot.line(data, {x: \"date\", y: \"temp_max\", stroke: \"red\"}),\n Plot.line(data, {x: \"date\", y: \"temp_min\", stroke: \"blue\"}),\n Plot.line(data, {x: \"date\", y: \"wind\", stroke: \"green\"})\n ]\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":147,"value":"earthquakes = d3.json(\"https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/2.5_week.geojson\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":149,"value":"world = FileAttachment(\"countries-110m.json\").json()","pinned":true,"hidden":false,"mode":"ojs"},{"id":151,"value":"land = topojson.feature(world, world.objects.land)","pinned":true,"hidden":false,"mode":"ojs"},{"id":143,"value":"Plot.plot({\n projection: \"equirectangular\",\n r: {transform: (r) => Math.pow(10, r)}, // Richter to amplitude\n marks: [\n Plot.geo(land, {fill: \"currentColor\", fillOpacity: 0.2}),\n Plot.sphere(),\n Plot.geo(earthquakes, {\n r: (d) => d.properties.mag,\n fill: \"red\",\n fillOpacity: 0.2,\n stroke: \"red\",\n title: (d) => d.properties.title,\n href: (d) => d.properties.url,\n target: \"_blank\"\n })\n ]\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":170,"value":"## Es poden importar cel·les d'altres *notebooks*","pinned":false,"hidden":false,"mode":"md"},{"id":156,"value":"import {chart} from \"@mbostock/the-wealth-health-of-nations\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":161,"value":"chart","pinned":false,"hidden":false,"mode":"ojs"},{"id":344,"value":"# Exploració de dades\n","pinned":false,"hidden":false,"mode":"md"},{"id":376,"value":"import {db} from \"@observablehq/ecommerce-analytics-demo-data\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":382,"value":"db.describe()","pinned":true,"hidden":false,"mode":"ojs"},{"id":453,"value":"db2 = db","pinned":true,"hidden":false,"mode":"ojs"},{"id":460,"value":"select brand, avg(price_in_usd) as price from items group by brand","pinned":true,"hidden":false,"mode":"sql","output":"","database":"var:db"},{"id":466,"value":"Plot.plot({marks: [\n Plot.barY(db2, {x: \"brand\", y: \"price\"})\n]})","pinned":true,"hidden":false,"mode":"ojs"},{"id":180,"value":"# Ús en educació","pinned":false,"hidden":false,"mode":"md"},{"id":198,"value":"### Cicloide\n${tex.block`\n\\begin{aligned}\n x(t) &= t - r\\sin(t) \\\\\n y(t) &= 1-r\\cos(t).\n\\end{aligned}\n`}`","pinned":false,"hidden":false,"mode":"md"},{"id":190,"value":"cycloid = make_cycloid(r, t)","pinned":false,"hidden":false,"mode":"ojs"},{"id":429,"value":"viewof r = Inputs.range([0, 2], {value: 1, step: 0.01, label: \"radi\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":211,"value":"viewof t = Inputs.range([0, 6 * Math.PI], {value: 1, step: 1, label: \"distància\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":416,"value":"normal","pinned":false,"hidden":false,"mode":"ojs"},{"id":422,"value":"viewof bin_width","pinned":false,"hidden":false,"mode":"ojs"},{"id":264,"value":"high_school_data = [\n {year: 2007, percent: 0.75},\n {year: 2008, percent: 0.75},\n {year: 2009, percent: 0.78},\n {year: 2010, percent: 0.79},\n {year: 2011, percent: 0.80},\n {year: 2012, percent: 0.81},\n {year: 2013, percent: 0.82},\n {year: 2014, percent: 0.83},\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":281,"value":"Plot.plot({\n marks: [\n Plot.barY(high_school_data, {x: \"year\", y1: \"percent\", y2: minScale, sort: {x: \"y\", reverse: false}, fill: \"purple\"}),\n Plot.ruleY([minScale])\n ],\n y: {\n domain: [minScale, 0.85]\n }\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":288,"value":"viewof minScale = Inputs.range([0, 0.72], {value: 0.4, step: 0.01, label: \"minPercent\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":306,"value":"Plot.plot({\n y: {\n grid: true\n },\n marks: [\n Plot.ruleY([0]),\n Plot.ruleX([0]),\n Plot.lineY(Array.from({length: 5001}, (_, i) => ({x: i * 0.001, y: f(i * 0.001)})), {\n x: \"x\", \n y: \"y\",\n stroke: \"blue\",\n strokeWidth: 2,\n })\n ]\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":309,"value":"function f(x) {\n return x**2\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":338,"value":"Depredador-presa: https://observablehq.com/@mbostock/predator-and-prey\n\n","pinned":false,"hidden":false,"mode":"md"},{"id":340,"value":"screenshot20240307At164316 = FileAttachment(\"Screenshot 2024-03-07 at 16.43.16.png\").image()","pinned":false,"hidden":false,"mode":"ojs"},{"id":259,"value":"graph","pinned":true,"hidden":false,"mode":"ojs"},{"id":194,"value":"## Altres\n\n- git\n- exportació\n- copilot\n- Observable framework\n- Embed\n- Projects\n","pinned":false,"hidden":false,"mode":"md"},{"id":257,"value":"import {graph} from \"@rveciana/monthly-mean-co-sub-2-sub-concentration-at-mauna-loa\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":187,"value":"import {make_cycloid} from \"@mcmcclur/the-cycloid\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":221,"value":"import {viewof pars1_1} from \"@howardyao/statistics-basic-concepts\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":231,"value":"import {plot1_1} from \"@howardyao/statistics-basic-concepts\"","pinned":true,"hidden":false,"mode":"ojs"},{"id":235,"value":"data1_1 = {\n let x = d3.range(-2, 2, 4/pars1_1.n);\n let y = x.map(d => jstat.normal.pdf(d, pars1_1.mean, pars1_1.sd));\n let z = x.map(d => jstat.normal.pdf(d, pars1_1.mean, pars1_1.sd / Math.sqrt(pars1_1.n) ));\n return x.map((d,i) => ({'x': d, 'sd': y[i], 'sem': z[i] }))\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":237,"value":"jstat = require('jstat')\n","pinned":true,"hidden":false,"mode":"ojs"},{"id":374,"value":"style = html`\n\n\n\n`","pinned":false,"hidden":false,"mode":"html"},{"id":411,"value":"import {plot as normal} from \"@toja/histogram-with-normal-distribution\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":419,"value":"import {viewof bin_width} from \"@toja/histogram-with-normal-distribution\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W2f","stdlib":"1","titling":"auto"}