2d:null 2e:["$","title",null,{"children":"SH공사 제44차 장기전세: 공급현황 및 커트라인 분포도 | Humble Data Miner | Observable"}] 33:Tc46,--- ## 44차 모집의 특이사항 * 신규공급: 올림픽파크 포레온(강동구 둔촌동)에 한정 * 전용면적 60㎡미만의 서울시 매입형만 존재 * 최소세대원수의 면적별 차등증가 * 기존의 최소세대원수: 40㎡미만 1명, 40㎡이상 2명 | 29㎡ | 39㎡ | 49㎡ | 59㎡ :-: | --: | --: | --: | --: 최소세대원수 | 1명 | 2명 | 3명 | 4명 일반공급 | 155채 | 169채 | 30채 | 22채 우선공급 | 117채 | 93채 | 54채 | 36채 신혼특별 | 0채 | 10채 | 38채 | 22채 * 재공급: 서울리츠3호 소유의 예비입주만 선발 * 서울리츠3호: 85㎡이상의 대형평수 * 예비입주자: 공가발생시 순서대로 입주 혹은 기한만료시 탈락 ## 선정유형의 대분류 1. **순점자(85㎡~)**: 순위-점수-자녀수를 우선순위로 면적 85㎡ 초과인 유형(44차 예비입주만) 2. **순점자(60㎡~85㎡)**: 순위-점수-자녀수를 우선순위로 면적 60㎡ 초과 85㎡ 이하인 유형 3. **순점자(~60㎡)**: 순위-점수-자녀수를 우선순위로 면적 60㎡ 이하인 유형(44차 최소세대원수 주의) 4. **순%점자**: 순위-소득(%)-점수-자녀수를 우선순위로 하는 공사건설공급 유형 5. **%순점자**: 소득(%)-순위-점수-자녀수를 우선순위로 하는 공사건설공급 유형 ## 분석데이터의 제약사항 * 44차 신규공급: SH 장기전세 40~43차까지의 일반공급 커트라인을 사용 * 44차 재공급: SH 장기전세 43차와 서울리츠3호 7~9차까지의 예비입주 일반공급 커트라인을 사용 * **우선/신혼특별공급은 표본이 작아 분석이 불가능 (60㎡미만,순점자)** * 제43차 강동 헤리티지자이 (강동구 길동) * 우선공급 49채: 노부모부양자 27점 2자녀, 다자녀가구 26점 2자녀, 월소득70%이하 27점 * 신혼특별 17채: 1순위 2자녀 #### *여기서 필수지원자격은 면적마다 다름에 유의(필히 공고문을 확인하세요!)* * 면적 **~60㎡** / ~~**60㎡~85㎡**~~ / **85㎡~** 별로 지원자격에 맞는 소득,재산기준이 다름 * 44차 신규공급에 한해 유형별 최소세대원수 요건을 반드시 확인하세요 #### *여기서 순위기준은 각 유형마다 다름에 주의(필히 공고문을 확인하세요!)* * **순점자(85㎡~)**의 순위는 청약통장 유지기간 및 예치금액과 관계 * **순점자(~85㎡)**와 ~~**순%점자**~~의 순위는 청약통장의 유지기간 및 월납입횟수와 관계 * **~~%순점자**의 순위는 인접거주지에 일정기간이상 거주했는지 여부~~34:T49e,divdata_new = { const alldata = data_new.series.reduce((acc,cur)=>{ const repname = cur.name; const key = [repname,cur.sz]; if(!acc.hasOwnProperty(key)) acc[key] = { key:key, name:repname, size:cur.sz, loc:`${cur.loc1} ${cur.loc2}`, list:[] }; acc[key].list.push(cur); return acc; },{}); Object.keys(alldata).forEach((k,ki)=>{ const value = alldata[k]; value.list.sort((lhs,rhs)=>lhs.seq-rhs.seq); value.maxseq = value.list.slice(-1)[0].seq; const lateitems = value.list.filter(d=>d.seq 0 ? lateitems.slice(-1)[0] : null; value.latescore = to_score_str(value.lateitem); value.lateseq = value.lateitem ? value.lateitem.seq : null; const thisitems = value.list.filter(d=>d.seq==max_seq); value.thisitem = thisitems.length > 0 ? thisitems.slice(-1)[0] : null; value.thisamount = value.thisitem ? value.thisitem.cap : null; value.thisquota = value.thisitem ? value.thisitem.regq : null; value.edges = extract_edges(value.list); }); return Object.values(alldata).toSorted((lhs,rhs)=>rhs.maxseq-lhs.maxseq); }35:T4ae,divdata_sub = { const alldata = data_sub.series.reduce((acc,cur)=>{ const repname = cur.rep?cur.rep:cur.name; const key = [repname,cur.sz]; if(!acc.hasOwnProperty(key)) acc[key] = { key:key, name:repname, size:cur.sz, loc:`${cur.loc1} ${cur.loc2}`, list:[] }; acc[key].list.push(cur); return acc; },{}); Object.keys(alldata).forEach((k,ki)=>{ const value = alldata[k]; value.list.sort((lhs,rhs)=>lhs.seq-rhs.seq); value.maxseq = value.list.slice(-1)[0].seq; const lateitems = value.list.filter(d=>d.seq 0 ? lateitems.slice(-1)[0] : null; value.latescore = to_score_str(value.lateitem); value.lateseq = value.lateitem ? value.lateitem.seq : null; const thisitems = value.list.filter(d=>d.seq==max_seq); value.thisitem = thisitems.length > 0 ? thisitems.slice(-1)[0] : null; value.thisamount = value.thisitem ? value.thisitem.cap : null; value.thisquota = value.thisitem ? value.thisitem.repq : null; value.edges = extract_edges(value.list); }); return Object.values(alldata).toSorted((lhs,rhs)=>rhs.maxseq-lhs.maxseq); }36:Tf5d,function make_svg_cutoff_chart(grpdata,tickvalues,height) { const margin = {left:80,right:10,top:120,bottom:10}; const svg = d3.create("svg").attr("width",width).attr("height",height); function make_label_string(d){ return `${d.hasOwnProperty("rep")&&d.rep?d.rep:d.name}(${d.sz}㎡)`; } const lbls = grpdata.map(d=>d.thisitem?d.thisitem:d.lateitem); const pts = grpdata.map(d=>d.list).flat().map(d=>({x:d.x,y:d.y,loc1:d.loc1,seq:d.seq,name:d.divname?d.divname:d.subname,item:d})); const dots = pts.filter(d=>d.y); const lines = pts.filter(d=>!d.y); const edges = grpdata.map(d=>d.edges).flat(); const datapoints = dots; const model = datapoints.length > 5 ? linear_fit(datapoints) : null; const ex = d3.extent(pts,d=>d.x); const domain_y = d3.range(tickvalues.length); const ey = [0,d3.max(domain_y)+1]; const x = d3.scaleLinear() .domain([ex[0]-250,ex[1]+250]) .range([margin.left, width-margin.right]); const y = d3.scaleLinear().domain(ey).range([height-margin.bottom, margin.top]); svg.append("g").attr("transform",`translate(${margin.left},0)`) .call(d3.axisLeft(y).tickValues(domain_y).tickFormat(i=>tickvalues[i])); svg.append("g").attr("transform",`translate(0,${margin.top})`) .call(d3.axisBottom(x).tickFormat(d=>`${d/1000}백만/㎡`)); // linear-regression line if(model) { const lr = {x1:x(ex[0]),x2:x(ex[1]),y1:y(model[0]+model[1]*ex[0]),y2:y(model[0]+model[1]*ex[1])}; svg.append("path") .attr("fill","none").attr("stroke","black").attr("stroke-width",4).attr("stroke-opacity",0.5).attr("stroke-dasharray","4 2") .attr("d", `M ${lr.x1} ${lr.y1} L ${lr.x2} ${lr.y2}`); svg.append("text") .attr("text-anchor","end") .attr("transform",`translate(${lr.x2},${lr.y2}) rotate(${Math.atan2(lr.y2-lr.y1,lr.x2-lr.x1)*180/Math.PI})`).attr("dy",-4) .text(`추세선`); } const quota = (item)=>item.hasOwnProperty("repq")?item.repq:item.regq; // edges svg.append("g").selectAll("path") .data(edges) .join("path") .attr("stroke",d=>d.color).attr("stroke-opacity",0.2).attr("stroke-width",8).attr("fill","none") .attr("d",d=>`M ${x(d.x1)} ${y(d.y1)} L ${x(d.x2)} ${y(d.y2)}`); // dots (past cut-off result) svg.append("g").selectAll("circle") .data(dots) .join("circle") .attr("cx",d=>x(d.x)).attr("cy",d=>y(d.y)).attr("r",d=>7+Math.sqrt(quota(d.item))) .attr("fill",d=>rcolors[d.loc1]) .call(node=>node.append("title") .text(d=>`(${d.seq}차;${d.item.sz}㎡) ${d.item.hasOwnProperty("rep")?d.item.rep+" ":""}${d.item.name} ${d.item.loc1} ${d.item.loc2} ${to_score_str(d.item)} ${d.item.hasOwnProperty("repq")?"예비":""}일반정원:${d.item.hasOwnProperty("repq")?d.item.repq:d.item.regq}`)); // seq number on dots svg.append("g").selectAll("text") .data(dots) .join("text") .style("pointer-events","none") .attr("text-anchor","middle").attr("dominant-baseline","middle").attr("font-size","smaller").attr("fill","white") .attr("x",d=>x(d.x)).attr("y",d=>y(d.y)).attr("dy",1) .text(d=>d.seq); // vertical lines on which cut-off point would place svg.append("g").selectAll("path") .data(lines) .join("path") .attr("stroke",d=>rcolors[d.loc1]).attr("fill","none").attr("stroke-width",2).attr("stroke-dasharray","4 4") .attr("d",d=>`M ${x(d.x)} ${margin.top} V ${height-margin.bottom}`); // division name and size svg.append("g").selectAll("text") .data(lbls) .join("text") .style("pointer-events","none") .attr("text-anchor",d=>d.y?"middle":"start").attr("dominant-baseline","middle").attr("font-size","10").attr("fill","black") .attr("transform",d=>`translate(${x(d.x)},${d.y?y(d.y):margin.top}) rotate(${d.y?0:-90})`).attr("dy",d=>d.y?14:1).attr("dx",8) .attr("visibility",showlabels?"visible":"hidden") .text(d=>make_label_string(d)); return svg.node(); }37:[{"id":"0c88dec074f93a0f6d0f7c6a82731078105ff5bce77cbc3149f2669c2ddfd7fc54511c4449d66a8620d64f748362ebc5622b9ffc3d36401e42906d4a15f83354","href":"https://static.observableusercontent.com/files/0c88dec074f93a0f6d0f7c6a82731078105ff5bce77cbc3149f2669c2ddfd7fc54511c4449d66a8620d64f748362ebc5622b9ffc3d36401e42906d4a15f83354","name":"SH40_SH41_SH42_SH43_for_SH44_new@1.tsv","type":"text/tab-separated-values","lastModified":1720043644383.474,"size":836},{"id":"9584fa8d250d61d097ff3af9a99535383d8f86728d1ecd39b5c03461ba7543d8721ba9208a4d2aa7082ba848007d301d2318234a8fbba537df70a5bea78c913b","href":"https://static.observableusercontent.com/files/9584fa8d250d61d097ff3af9a99535383d8f86728d1ecd39b5c03461ba7543d8721ba9208a4d2aa7082ba848007d301d2318234a8fbba537df70a5bea78c913b","name":"SR7_SR8_SR9_SH43_for_SH44_rep@1.tsv","type":"text/tab-separated-values","lastModified":1720043891693.481,"size":5298}] 31:{"id":"e67648d11192d29d","slug":"sh-44-long-term-deposit-housing","title":"SH공사 제44차 장기전세: 공급현황 및 커트라인 분포도","thumbnail":"e044e62bb8f0bade5a24b2e7ddcfab4b60e2bf87ea31b68eda4c3734372d27dd","access_level":"public","create_time":"$D2024-07-03T20:40:42.578Z","update_time":"$D2024-07-04T12:03:04.982Z","view_time":null,"first_public_time":"$D2024-07-04T08:43:49.407Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"50faa4da52a9ff9b","login":"humble-data-miner","name":"Humble Data Miner","avatar_url":"https://avatars-next.observableusercontent.com/3046b1bea86c5e825baea7c0c403d90ad9690b5396b11b5d02b3a0839fbcb946","tier":"starter_2024"},"version":320,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"4e2fc41e06361cc3","login":"humble-data-miner","name":"Humble Data Miner","avatar_url":"https://avatars-next.observableusercontent.com/3046b1bea86c5e825baea7c0c403d90ad9690b5396b11b5d02b3a0839fbcb946","tier":null}],"members":[{"type":"individual","id":"4e2fc41e06361cc3","login":"humble-data-miner","name":"Humble Data Miner","avatar_url":"https://avatars-next.observableusercontent.com/3046b1bea86c5e825baea7c0c403d90ad9690b5396b11b5d02b3a0839fbcb946","tier":null,"role":"editor"},{"type":"team","id":"50faa4da52a9ff9b","login":"humble-data-miner","name":"Humble Data Miner","avatar_url":"https://avatars-next.observableusercontent.com/3046b1bea86c5e825baea7c0c403d90ad9690b5396b11b5d02b3a0839fbcb946","tier":"starter_2024","role":"viewer"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"SH공사 제44차 장기전세: 공급현황 및 커트라인 분포도","cells":[{"id":0,"value":"# SH공사 제44차 장기전세:
공급현황 및 커트라인 분포도","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":13,"value":"$33","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":171,"value":"---\n## (강동구,60㎡미만,순점자) 일반정원 커트라인 분포도","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":222,"value":"viewof sel_new = make_group_data_table(divdata_new)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":173,"value":"make_svg_cutoff_chart(sel_new, data_new.ticks, 400)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":271,"value":"### 짧은 해석 및 유의점\n* 커트라인 추세선 우하향: ㎡당 전세가가 높을수록 커트라인이 낮아지는 경향\n* 정원이 많은경우 커트라인이 약간 낮은 경향\n* 불확실성을 더하는 요소들\n * 이번 44차에 상향적용된 최소세대수\n * 49㎡에 세대원 3명이상? 59㎡에 세대원 4명이상? 너무 과밀하진 않나?\n * 지원자들이 모두 정직하다면 지원자수가 줄어들텐데? 이건 기회일까?\n * 과거 전례가 없는 순점자 29㎡,39㎡,49㎡ 면적 유형\n * 과거 소형세대는 대부분 건설형으로 공급함 (%순점자,순%점자)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":244,"value":" ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":232,"value":"## (85㎡이상,순점자) 예비입주 일반정원 커트라인 분포도","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":211,"value":"viewof sel_sub = make_group_data_table(divdata_sub)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":204,"value":"make_svg_cutoff_chart(sel_sub, data_sub.ticks, 500)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":246,"value":"### 짧은 해석 및 유의점\n* 커트라인 추세선은 무의미: 추세선 우상향? 이치에 맞지않음!\n* 정원이 많을때 커트라인이 낮은 경향: 지원자 점수분포가 낮아지는 지점존재\n* 예비입주의 경우 입주일이 정해져 있지 않고 영영 못들어갈 가능성도 존재\n* (추정) 재공급 공가가 왜 없을까? 왜 예비만 뽑을까?\n 1. 전출이 줄었다? 민간 전세사기속에 국책 전세공급의 인기?\n 2. SH의 넉넉한 예비입주 모집? 공가관리가 용이하지만 개인에게 위험 전가?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":292,"value":"---\n## 참고자료\n* (공식) [제44차 장기전세주택 입주자 모집 공고(2024.06.27.공고)](https://www.i-sh.co.kr/main/lay2/program/S1T297C4476/www/brd/m_247/view.do?page=1&seq=275471&itm_seq_1=0&multi_itm_seq=2&multi_itm_seqsStr=&isRecrnoti=¬Type1=2&splyTy=03&annType1=on&recrnotiState=&srchFr=&srchTo=&recSrchFr=&recSrchTo=&srchTp=0&srchWord=)\n* (데이터셋) [SH장기전세\\_44차\\_매입60미만\\_순점자\\_일반_강동.xlsx](https://docs.google.com/spreadsheets/d/12uA9ELy5BgXfhIU0Wx_kIDb8LXmV4qGM/edit?usp=sharing&ouid=105060780752885831331&rtpof=true&sd=true)\n* (데이터셋) [SH장기전세\\_44차\\_매입85이상\\_순점자\\_예비일반.xlsx](https://docs.google.com/spreadsheets/d/1OeZRiihWDgzBrEWoljdmkEA5O47J0nTo/edit?usp=sharing&ouid=105060780752885831331&rtpof=true&sd=true)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":319,"value":"---\n## 부연설명 동영상\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"---\n## Appendix","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":92,"value":"rawdata_new = FileAttachment(\"SH40_SH41_SH42_SH43_for_SH44_new@1.tsv\").tsv({typed:true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":107,"value":"data_new = {\n const series = rawdata_new;\n series.forEach((d,i)=>{\n d.cap=parseInt(d.amount.replace(/,/g, ''));\n d.fullscorestr=d.rank&&d.score?`${d.rank}순위-${d.score}점${d.kids?`-${d.kids}자녀`:\"\"}`:null;\n });\n const ticks = Object.values(Object.fromEntries(series.filter(d=>d.rank!=null).map(d=>[d.rank,d.score]).map(d=>[d,d])))\n .toSorted((l,r)=>l[0]==r[0]?l[1]-r[1]:r[0]-l[0]);\n const tick_to_nscore = Object.fromEntries(ticks.map((t,i)=>[t,i]));\n series.forEach((d,i)=>{\n d.x = d.cap/d.sz;\n d.y = d.rank&&d.score ? tick_to_nscore[[d.rank,d.score]]+(d.kids?Math.min(d.kids,4)/5:0) : null;\n });\n \n return {series:series,ticks:ticks.map(d=>`${d[0]}순위-${d[1]}점`),ext:[0,ticks.length-1]}\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":164,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":102,"value":"rawdata_sub = FileAttachment(\"SR7_SR8_SR9_SH43_for_SH44_rep@1.tsv\").tsv({typed:true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"data_sub = {\n const series = rawdata_sub;\n series.forEach((d,i)=>{\n d.cap=parseInt(d.amount.replace(/,/g, ''));\n d.fullscorestr=d.rank&&d.score?`${d.rank}순위-${d.score}점${d.kids?`-${d.kids}자녀`:\"\"}`:null;\n });\n const ticks = Object.values(Object.fromEntries(series.filter(d=>d.rank!=null).map(d=>[d.rank,d.score]).map(d=>[d,d])))\n .toSorted((l,r)=>l[0]==r[0]?l[1]-r[1]:r[0]-l[0]);\n const tick_to_nscore = Object.fromEntries(ticks.map((t,i)=>[t,i]));\n series.forEach((d,i)=>{\n d.x = d.cap/d.sz;\n d.y = d.rank&&d.score ? tick_to_nscore[[d.rank,d.score]]+(d.kids?Math.min(d.kids,4)/5:0) : null;\n });\n \n return {series:series,ticks:ticks.map(d=>`${d[0]}순위-${d[1]}점`),ext:[0,ticks.length-1]}\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":200,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":156,"value":"function extract_edges(items) {\n const layers = Object.values(items.reduce((acc,cur)=>{\n if(!acc.hasOwnProperty(cur.adate))\n acc[cur.seq]=[];\n acc[cur.seq].push(cur);\n return acc;\n },{}));\n \n const edges = [];\n d3.range(layers.length-1).forEach(li=>{\n layers[li].forEach(cn=>{\n layers[li+1].forEach(nn=>{\n edges.push({x1:cn.x,x2:nn.x,y1:cn.y,y2:nn.y?nn.y:cn.y,color:rcolors[cn.loc1]});\n });\n });\n });\n return edges;\n}\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":151,"value":"rcolors = {\n const rtypes = Object.values(Object.fromEntries(data_new.series.map(d=>d.loc1).concat(data_sub.series.map(d=>d.loc1)).map(d=>[d,d]))).toSorted(d3.ascending);\n return Object.fromEntries(\n rtypes.map((r,ri)=>[\n r,ri/10>=1?d3.color(d3.schemeCategory10[ri%10]).darker():d3.color(d3.schemeCategory10[ri])]));\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":214,"value":"function make_group_data_table(grpdata){\n const amt = d=>`${(d/100000).toFixed(2)}억`;\n const lochtml = d=>html`

${d}

`\n return Inputs.table(grpdata,\n {\n columns:[\"maxseq\",\"name\",\"loc\",\"size\",\"thisquota\",\"thisamount\",\"latescore\"],\n header:{\n maxseq:\"최종회차\",name:\"단지명\",loc:\"지역\",size:\"유형\",\n thisquota:`(${max_seq}차)정원`,thisamount:`(${max_seq}차)금액`,latescore:\"최근커트라인\"},\n format:{\n loc:d=>lochtml(d),\n size:d=>`${d}㎡`,\n thisquota:d=>`${d}`,\n thisamount:d=>amt(d),\n latescore:(d,i)=>`(${grpdata[i].lateseq}차) ${d}`\n },\n maxWidth: 870,\n width:{\n maxseq:60,\n loc:120,\n size:60,\n thisquota:70,\n thisamount:70,\n latescore:200,\n },\n required:true\n }\n );\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":136,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":161,"value":"max_seq = 44","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"viewof showlabels = Inputs.toggle({label:\"단지명 보여주기\",value:true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":147,"value":"function to_score_str(d) {\n if(!d || d.score === null)\n return null;\n return `${d.rank}순위-${d.score}점${d.kids?\"-\"+d.kids+\"자녀\":\"\"}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":141,"value":"mathjs = require('mathjs')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":144,"value":"function linear_fit(datapoints) {\n const n = datapoints.length;\n const X = mathjs.reshape(mathjs.matrix(datapoints.map(d=>d.x)),[n,-1]);\n const y = mathjs.reshape(mathjs.matrix(datapoints.map(d=>d.y)),[n,-1]);\n const aX = mathjs.concat(mathjs.ones(mathjs.size(X).get([0]),1),X);\n const fit_res = mathjs.multiply(\n mathjs.multiply(\n mathjs.inv(mathjs.multiply(mathjs.transpose(aX),aX)),\n mathjs.transpose(aX)\n ),\n y\n );\n return Array.from(fit_res).map(v=>v.value);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W37","stdlib":"1","titling":"auto"}} 32:"$31:body"