29:null 2a:["$","title",null,{"children":"Linear Regression (another example) | Charles Redmond | Observable"}] 2f:[] 2d:{"id":"4e8994c8c1c7ea08","slug":"linear-regression-another-example","title":"Linear Regression (another example)","thumbnail":"e9be4cf9159c1ba794b621eb8c416cc0c0b96b043ce78c7abe51adc5ab63ff22","access_level":"public","create_time":"$D2020-11-06T17:16:23.635Z","update_time":"$D2020-11-10T16:35:55.310Z","view_time":null,"first_public_time":"$D2020-11-06T17:20:43.162Z","has_unpublished_edits":null,"fork":{"id":"853ec687d84858b1","slug":"linear-regression","title":"Linear Regression","owner":{"id":"66151b62b45d9fca","login":"credmond","name":"Charles Redmond"}},"stars":0,"starred":false,"owner":{"type":"team","id":"66151b62b45d9fca","login":"credmond","name":"Charles Redmond","avatar_url":"https://avatars-next.observableusercontent.com/50425ed9f407a7b47d1c471a09963f335e0652ab9acc237869e2d7949fb04a77","tier":"starter_2024"},"version":244,"publish_version":244,"role":null,"authored":false,"authors":[{"type":"individual","id":"37a987477e8b6db3","login":"credmond","name":"Charles Redmond","avatar_url":"https://avatars-next.observableusercontent.com/50425ed9f407a7b47d1c471a09963f335e0652ab9acc237869e2d7949fb04a77","tier":null}],"members":[{"type":"individual","id":"37a987477e8b6db3","login":"credmond","name":"Charles Redmond","avatar_url":"https://avatars-next.observableusercontent.com/50425ed9f407a7b47d1c471a09963f335e0652ab9acc237869e2d7949fb04a77","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":13,"collection":{"id":"83911aebcace17a1","slug":"fall20ds","title":"Fall20DS","owner":{"id":"66151b62b45d9fca","login":"credmond","name":"Charles Redmond"}},"type":"notebook","body":{"title":"Linear Regression (another example)","cells":[{"id":0,"value":"md`# Linear Regression (another example)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":98,"value":"data = d3.csv(`https://gist.githubusercontent.com/bendazz/c36e23b3400ba346107eefdcb9e48b0f/raw/1e69dab04fd605be0fcadc1953f3c5dfa1e3091c/Teams.csv`)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":189,"value":"pirates = data.filter(d => d.name == \"Pittsburgh Pirates\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":191,"value":"d3.extent(pirates,d => parseInt(d.SO))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":194,"value":"d3.extent(pirates,d => parseInt(d.HR))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":229,"value":"tex`y = ${slope}x + ${intercept}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":234,"value":"rmse = {\n const a = []\n for(let i = 0; i < 128; i = i + 1){\n const x = pirates[i].SO\n const y = pirates[i].HR\n const yhat = slope*x + intercept\n const diff = y - yhat\n const sqDiff = diff*diff\n a.push(sqDiff)\n }\n return math.sqrt(d3.mean(a))\n\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":40,"value":"svg = {\n const svg = html``\n const container = d3.select(svg)\n \n const xScale = makeXAxis(container,[0,1400],[30,570],270)\n const yScale = makeYAxis(container,[0,200],[270,30],30)\n \n for(let i = 0; i < 128; i = i + 1){\n container.append(\"circle\")\n .attr(\"r\",3)\n .attr(\"cx\",xScale(pirates[i].SO))\n .attr(\"cy\",yScale(pirates[i].HR))\n }\n \n container.append(\"line\")\n .attr(\"stroke\",\"tomato\")\n .attr(\"stroke-width\",3)\n .attr(\"x1\",xScale(0))\n .attr(\"y1\",yScale(slope*(0)+intercept))\n .attr(\"x2\",xScale(1400))\n .attr(\"y2\",yScale(slope*(1400)+intercept))\n \n return svg\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":204,"value":"viewof intercept = slider({min:-50,max:200,step:1})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":218,"value":"viewof slope = slider()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":243,"value":".13*1000 - 4","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"html`\n

CSS

\n \n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":35,"value":"html`

Libraries

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":52,"value":"import {slider,button,select,text,radio,checkbox,number} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":66,"value":"math = require('mathjs@6.2.1/dist/math.js')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"makeXAxis = function(container,domain,range,y){\n const xScale = d3.scaleLinear().domain(domain).range(range)\n const xAxis = container.append(\"g\").attr(\"transform\",`translate(0,${y})`)\n d3.axisBottom(xScale).tickFormat(d3.format(\".0f\"))(xAxis)\n return xScale\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"makeYAxis = function(container,domain,range,x){\n const yScale = d3.scaleLinear().domain(domain).range(range)\n const yAxis = container.append(\"g\").attr(\"transform\",`translate(${x},0)`)\n d3.axisLeft(yScale)(yAxis)\n return yScale\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W2f","stdlib":"1","titling":"auto"}} 2e:"$2d:body"