2c:null 2d:["$","title",null,{"children":"NBA Finals, Game 1 | Observable | Observable"}] 32:T556,| Data point | Description | Example | | ----------- | ----------- | ----------- | | date | Date of the game | 2022-05-25 | | quarter | Quarter when the play took place | 1st, 2nd, 3rd, 4th | | time | Time the play took place, within the quarter | 11:22.0 | | totalSec | Seconds remaining when the play took place, within the whole game | 2880 | | home | Home team name | Boston | | away | Away team name | Golden State | | homeScore | Home team score, at time of play | 18 | | awayScore | Away team score, at time of play | 22 | | action | Full action phrase of the play | Defensive rebound by R. Williams | | actionGroup | Team at the center of the play | away | | actionType | Descriptor of play | defensive rebound | | actionTypeCategory | Category of play | rebound | actionPlayer | Player at the center of play | S. Curry | | actionPlayerImg | Image of the player at the center of play | sCurry.png | | actionResult | Result of play | home scored 2 | | actionDistance | Distance of the play | 2 ft | | secondaryAction | Full action phrase of secondary play | assist by J. Tatum | | secondaryActionType | Descriptor of secondary play | assist | | secondaryPlayer | Secondary player involved in the play | J. Tatum |33:T15e7,{ const width = 450; const height = 200; const margin = {top: 40, bottom: 10, left: 0, right: 0} const shotActionNameLookup = ({ "2pt fga": 'missed a 2', "3pt tpa": 'missed a 3', "2pt fga layup": 'missed a layup', "2pt fgm layup": 'Layup!', "1pt fta": 'missed a FT 😬', "1pt ftm": 'made a FT', "2pt fgm": '2 pts!', "2pt fgm dunk": 'DUNK 🔥', "3pt tpm": 'THREEEE', "2pt fga dunk": 'missed a dunk 🤔', "2pt fgm hook": 'baby hook!' }); const svg = d3.create('svg') .attr('width', width + margin.left + margin.right) .attr('height', height + margin.top + margin.bottom) svg.append('rect') .attr('width', '100%') .attr('height', '100%') .style('fill', '#FFFFFF') .style('stroke', '#F7F2EA') .style('stroke-width', '15') const g = svg.append('g') .attr('transform', `translate(${margin.left}, ${margin.top})`) const yScale = d3.scaleLinear() .domain([d3.max(parsedPlayByPlay, d => d.totalSec), 0]) .range([height, 0]) const xScale = d3.scalePoint() .padding(.5) .domain(['away', 'home']) .range([0, width]); const teamLookup = { 'away': parsedPlayByPlay[0].away, 'home': parsedPlayByPlay[0].home }; const xAxis = g.append('g') .attr('transform', `translate(0, 5)`) .call(d3.axisTop(xScale).tickFormat(d => teamLookup[d])) xAxis.select('.domain').remove(); xAxis.selectAll('text') .style('fill', d => teamLookup[d] == 'Golden State' ? warriorsBlue : celticsGreen) .style('font-weight', 900) .style('font-size', '15px') let i = 0; let maxI = parsedPlayByPlay.length - 1; const awaySection = g.append('g') .attr('transform', `translate(${xScale('away')}, ${height / 2})`) const awaySectionPlayer = awaySection.append('image') .attr('width', 100) .attr('height', 100) .attr('x', -50) .attr('y', -50) const awayText = awaySection.append("text") .attr('y', 60) .style('font', '13px sans-serif') .style('font-weight', '700') .style('text-anchor', 'middle') const homeSection = g.append('g') .attr('transform', `translate(${xScale('home')}, ${height / 2})`) const homeSectionPlayer = homeSection.append('image') .attr('width', 100) .attr('height', 100) .attr('x', -50) .attr('y', -50) const homeText = homeSection.append("text") .attr('y', 60) // .attr('x', 50) .style('font', '13px sans-serif') .style('font-weight', '700') .style('text-anchor', 'middle') const currentTime = g.append('g') .attr('transform', `translate(${width / 2}, 0)`) .append('text') .style('text-anchor', 'middle') .style('font', '14px monospace') // .style('background-color', '#f0f0f0') const totalScore = g.append('g') .attr('transform', `translate(${width / 2}, ${height / 2})`) .append('text') .style('text-anchor', 'middle') .style('font', '22px monospace') .style('font-weight', 'bold') const resetRect = g.append('g') .attr('transform', `translate(${(width / 2) - 30}, ${height - 35})`) .style('opacity', 0) .style("cursor", 'pointer') .style('pointer-events', 'none') .on('click', () => { i = 0; resetRect.style('opacity', 0) }) resetRect.append('rect') .attr('width', 60) .style('height', 30) .style('fill', '#F7F2EA') // beigy color we're using in the illustrations .style("stroke", '#d9d4cc') // slightly darker shade .style('rx', 2) resetRect.append('text') .style('pointer-events', 'none') .text('REPLAY') .style('text-anchor', 'middle') .attr('x', 30) .style('font', '12px sans-serif') .style('font-weight', 'bold') .style('fill', '#5f2500') // brown we're using for the headers .attr('y', 20); while(true) { yield svg.node(); await Promises.delay(200); const currentPlay = parsedPlayByPlay[i] if(currentPlay.actionTypeCategory == 'shot made' || currentPlay.actionTypeCategory == 'shot attempt') { const player = currentPlay.actionPlayer; const playerImage = playerData.filter(d => `${d.firstName[0]}. ${d.lastName}` == player)[0] const actionText = shotActionNameLookup[currentPlay.actionType]; if(currentPlay.actionGroup == 'away') { if(emotionPlayerImages[player] != undefined) { awaySectionPlayer.attr('href', emotionPlayerImages[player][currentPlay.actionTypeCategory]) .attr('width', 80) .attr('height', 80) .attr('x', -40) } else { awaySectionPlayer.attr('href', playerImage ? playerImage.imgurl : "") .attr('width', 100) .attr('height', 100) .attr('x', -50) } awayText.text(`${player} ${actionText}`) } else { if(emotionPlayerImages[player] != undefined) { homeSectionPlayer.attr('href', emotionPlayerImages[player][currentPlay.actionTypeCategory]) .attr('width', 80) .attr('height', 80) .attr('x', -40) } else { homeSectionPlayer.attr('href', playerImage ? playerImage.imgurl : "") .attr('width', 100) .attr('height', 100) .attr('x', -50) } homeText.text(`${player} ${actionText}`) } } currentTime.text(currentPlay.time) totalScore.text(`${currentPlay.awayScore} - ${currentPlay.homeScore}`) if(i == maxI) { resetRect.style('opacity', 1) .style('pointer-events', 'auto') } else { i++; } } return svg.node() }34:T22a0,{ await visibility(); const width = window.innerWidth * .7; const height = 300; const margin = {top: 50, bottom: 30, left: 50, right: 120} const quarterTimeLookup = new Map([parsedPlayByPlay[0]].concat(parsedPlayByPlay.filter(d => d.actionType == 'start of quarter')).map(d => [d.totalSec, `${d.quarter} Quarter`]).concat([[0, 'End of Game']])) const shotActionNameLookup = ({ "2pt fga": 'missed a 2', "3pt tpa": 'missed a 3', "2pt fga layup": 'missed a layup', "2pt fgm layup": 'Layup!', "1pt fta": 'missed a FT 😬', "1pt ftm": 'made a FT', "2pt fgm": '2 pts!', "2pt fgm dunk": 'DUNK 🔥', "3pt tpm": 'THREEEE', "2pt fga dunk": 'missed a dunk 🤔', "2pt fgm hook": 'baby hook!' }); const svg = d3.create('svg') .attr('width', width + margin.left + margin.right) .attr('height', height + margin.top + margin.bottom) const g = svg.append('g') .attr('transform', `translate(${margin.left}, ${margin.top})`) const xScale = d3.scaleLinear() .domain([d3.max(parsedPlayByPlay, d => d.totalSec), 0]) .range([0, width]) const yScale = d3.scaleLinear() .domain([0, d3.max([d3.max(parsedPlayByPlay, d => d.homeScore), d3.max(parsedPlayByPlay, d => d.awayScore)])]) .range([height, 0]); const xAxis = g.append('g') .attr('transform', `translate(0, ${height})`) .call(d3.axisBottom(xScale) .tickSize(-height) .tickValues(Array.from(quarterTimeLookup.keys())) .tickFormat(d => quarterTimeLookup.get(d))); xAxis.selectAll('line') .style('stroke', '#222') .style('stroke-width', 1) .style('stroke-dasharray', '3'); xAxis.select('.domain').remove(); let i = 0; let maxI = parsedPlayByPlay.length - 1; const homeDiffClipArea = d3.area() .curve(d3.curveCatmullRom) .x(d => xScale(d.totalSec)) .y0(0) .y1(d => yScale(d.awayScore)) const awayDiffClipArea = d3.area() .curve(d3.curveCatmullRom) .x(d => xScale(d.totalSec)) .y0(0) .y1(d => yScale(d.homeScore)) const homeDiffArea = d3.area() .curve(d3.curveCatmullRom) .x(d => xScale(d.totalSec)) .y0(d => yScale(d.homeScore)) .y1(d => yScale(d.awayScore)) const awayDiffArea = d3.area() .curve(d3.curveCatmullRom) .x(d => xScale(d.totalSec)) .y0(d => yScale(d.homeScore)) .y1(d => yScale(d.awayScore)) const homeDiffAreaClip = DOM.uid('homeArea') const homeDiffAreaClipPath = g.append('clipPath') .attr('id', homeDiffAreaClip.id) .append('path') .datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('d', homeDiffClipArea) const awayDiffAreaClip = DOM.uid('awayArea') const awayDiffAreaClipPath = g.append('clipPath') .attr('id', awayDiffAreaClip.id) .append('path') .datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('d', awayDiffClipArea) const homeDiffAreaPath = g.append('path') .datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('d', homeDiffArea) .attr('clip-path', homeDiffAreaClip) .style('fill', warriorsBlue) .style('fill-opacity', .5) const awayDiffAreaPath = g.append('path') .datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('d', homeDiffArea) .attr('clip-path', awayDiffArea) .style('fill', celticsGreen) .style('fill-opacity', .5) const homeLine = d3.line() .curve(d3.curveCatmullRom) .x(d => xScale(d.totalSec)) .y(d => yScale(d.homeScore)) const homeLinePath = g.append('path') .datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('d', homeLine) .style('fill', 'none') .style('stroke', warriorsBlue) .style("stroke-width", 6) const awayLine = d3.line() .curve(d3.curveCatmullRom) .x(d => xScale(d.totalSec)) .y(d => yScale(d.awayScore)) const awayLinePath = g.append('path') .datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('d', awayLine) .style('fill', 'none') .style('stroke', celticsGreen) .style("stroke-width", 6) const ticker = g.append('g') .datum(parsedPlayByPlay[i]) .attr('transform', d => `translate(${xScale(d.totalSec)}, 0)`); const basketballLine = ticker.append('line') .attr('x1', 0) .attr('x2', 0) .attr('y1', height) .attr('y2', d => yScale(d3.max([d.awayScore, d.homeScore]))) .style('stroke', '#000') .style('stroke-width', 4) const basketballBackgroundImage = ticker.append('circle') .attr('r', 12) .attr('cy', d => yScale(d3.max([d.awayScore, d.homeScore]))) const basketballImage = ticker.append('image') .attr('width', 22) .attr('href', icons.shotMade) .attr('y', d => yScale(d3.max([d.awayScore, d.homeScore]))) .attr('x', -11 + .25) const basketballScore = ticker.append('text') .attr('y', -15) .attr('x', 0) .style('text-anchor', 'middle') .style('font', '13px sans-serif') .style('font-weight', 'bold') .text(d => `${d.away} ${d.awayScore} - ${d.home} ${d.homeScore}`) const resetRect = g.append('g') .attr('transform', `translate(0, ${-margin.top + 10})`) .style('opacity', 0) .style("cursor", 'pointer') .style('pointer-events', 'none') .on('click', () => { i = 0; resetRect.style('opacity', 0) }) resetRect.append('rect') .attr('width', 100) .style('height', 30) .style('fill', '#F7F2EA') // beigy color we're using in the illustrations .style("stroke", '#d9d4cc') // slightly darker shade .style('rx', 2) resetRect.append('text') .style('pointer-events', 'none') .text('REPLAY') .style('text-anchor', 'middle') .attr('x', 50) .style('font', '12px sans-serif') .style('font-weight', 'bold') .style('fill', '#5f2500') // brown we're using for the headers .attr('y', 20); const actionPlayer = g.append('g') const actionPlayerImage = actionPlayer.append('image') .attr('width', 100) .attr('height', 100) const actionPlayerText = actionPlayer.append("text") .attr('y', 100) .attr('x', 5) .style('font', '12px sans-serif') let lastColor = '#000' yield svg.node(); while (i <= maxI) { await Promises.delay(100); const currentPlay = parsedPlayByPlay[i] awayLinePath.datum(parsedPlayByPlay.filter((e, f) => f <= i)).attr('d', awayLine); homeLinePath.datum(parsedPlayByPlay.filter((e, f) => f <= i)).attr('d', homeLine); homeDiffAreaClipPath.datum(parsedPlayByPlay.filter((e, f) => f <= i)).attr('d', homeDiffClipArea); homeDiffAreaPath.datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('clip-path', homeDiffAreaClip).attr('d', homeDiffArea); awayDiffAreaClipPath.datum(parsedPlayByPlay.filter((e, f) => f <= i)).attr('d', awayDiffClipArea); awayDiffAreaPath.datum(parsedPlayByPlay.filter((e, f) => f <= i)) .attr('clip-path', awayDiffAreaClip).attr('d', awayDiffArea); ticker.datum(currentPlay).attr('transform', d => `translate(${xScale(d.totalSec)}, 0)`); basketballBackgroundImage.datum(currentPlay) .attr('cy', d => yScale(d3.max([d.awayScore, d.homeScore]))) .style('fill', d => { if(d.actionTypeCategory == 'shot made') { const awayColor = d.away == 'Golden State' ? warriorsBlue : celticsGreen; const homeColor = d.away == 'Celtics' ? celticsGreen : warriorsBlue; lastColor = d.awayScore > d.homeScore ? awayColor : homeColor return lastColor } else { return lastColor; } }); basketballLine.datum(currentPlay) .attr('y2', d => yScale(d3.max([d.awayScore, d.homeScore]))) .style('stroke', lastColor); basketballImage.datum(currentPlay) .attr('y', d => yScale(d3.max([d.awayScore, d.homeScore])) - 11); basketballScore.datum(currentPlay) .attr('y', d => yScale(d3.max([d.awayScore, d.homeScore])) - 15) .text(d => `${d.away} ${d.awayScore} - ${d.home} ${d.homeScore}`); if(currentPlay.actionTypeCategory == 'shot made' || currentPlay.actionTypeCategory == 'shot attempt') { const player = currentPlay.actionPlayer; const playerImage = playerData.filter(d => `${d.firstName[0]}. ${d.lastName}` == player)[0] if(emotionPlayerImages[player] != undefined) { actionPlayerImage.attr('href', emotionPlayerImages[player][currentPlay.actionTypeCategory]) .attr('width', 80) .attr('height', 80) } else { actionPlayerImage.attr('href', playerImage ? playerImage.imgurl : "") .attr('width', 100) .attr('height', 100) } actionPlayerText.text(`${player} ${shotActionNameLookup[currentPlay.actionType]}`) } if(i == maxI) { resetRect.style('opacity', 1) .style('pointer-events', 'auto') } else { i++; } } return svg.node() } // })35:T4bf,Plot.plot({ width, height: 550, marginRight: 10, x: { reverse: true, axis: null, }, y: { grid: true, label: "Score ↑", }, marks: [ Plot.link(parsedPlayByPlay.filter(d => d.actionTypeCategory === "shot made"), { x1: "totalSec", x2: "totalSec", y1: "homeScore", y2: "awayScore", stroke: "#cecece", strokeWidth: 3, opacity: 0.8, title: (d) => `SCORE DIFF \n ${d.awayScore > d.homeScore ? `Celtics +${d.awayScore - d.homeScore}` : `Warriors +${d.homeScore - d.awayScore}`}`, }), Plot.dot(parsedPlayByPlay.filter(d => d.actionTypeCategory === "shot made"), { x: "totalSec", y: "homeScore", fill: `${warriorsBlue}`, r: 5, stroke: "#ffffff", fillOpacity: 1, title: (d) => `SCORE \n Celtics: ${d.awayScore} \n Warriors: ${d.homeScore}`, }), Plot.dot(parsedPlayByPlay.filter(d => d.actionTypeCategory === "shot made"), { x: "totalSec", y: "awayScore", fill: `${celticsGreen}`, r: 5, stroke: "#ffffff", fillOpacity: 1, title: (d) => `SCORE \n Warriors: ${d.homeScore} \n Celtics: ${d.awayScore}`, }), ] })36:T10da,{ const width = window.innerWidth * .85; const height = 600; const svg = d3.create('svg') .attr('width', width) .attr('height', height); const goop = DOM.uid("squareClip"); var defs = svg.append("defs"); var filter = defs.append("filter").attr("id", goop.id); filter.append("feGaussianBlur") .attr("in","SourceGraphic") .attr("stdDeviation","10") .attr("color-interpolation-filters","sRGB") .attr("result","blur"); filter.append("feColorMatrix") .attr("in","blur") .attr("mode","matrix") .attr("values","1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 18 -7") .attr("result","gooey"); const g = svg.append('g') .attr('transform', `translate(0, ${height / 2})`) const pointLookup = ({ "3pt tpm": 3, "2pt fgm": 2, "2pt fgm dunk": 2, "2pt fgm layup": 2, "2pt fgm hook": 2, "1pt ftm": 1, }); const playerTotals = d3.rollups(parsedPlayByPlay, v => d3.sum(v, d => pointLookup[d.actionType]), d => `${d.actionPlayer} - ${d.actionGroup == 'away' ? d.away : d.home}`) const playerReboundTotals = d3.rollups(parsedPlayByPlay, v => d3.sum(v, d => d.actionTypeCategory == 'rebound' ? 1 : 0), d => `${d.actionPlayer} - ${d.actionGroup == 'away' ? d.away : d.home}`) const playerClips = {}; playerTotals.forEach(d => { playerClips[d[0]] = DOM.uid(d[0]) }) const pointScale = d3.scaleSqrt() .domain([0, d3.max(statSelect == 'Points' ? playerTotals : playerReboundTotals, d => d[1])]) .range([0, 80]); const fontSizeScale = d3.scaleLinear() .domain(pointScale.range()) .range([3, 14]) let nodes; if(statSelect == 'Points') { nodes = playerTotals.filter(d => d[1] > 0).map(d => { return { id: d[0], points: d[1] } }); } else { nodes = playerReboundTotals.filter(d => d[1] > 0).map(d => { return { id: d[0], points: d[1] } }); } const xScale = d3.scalePoint() .domain(['Boston', 'Golden State']) .range([0, width]) .padding(.5); let simulation = d3.forceSimulation(nodes) .alpha(.1)// stay hot .velocityDecay(0.1) // low friction .force("x", d3.forceX().strength(.35).x(d => xScale(d.id.split(' - ')[1]))) .force("y", d3.forceY().strength(0.1)) .force("collide", d3.forceCollide().radius(d => pointScale(d.points) + 2)) .on("tick", ticked); const nodeObject = g.append('g') .style('filter', goop) .selectAll('.node') .data(nodes) .enter().append('g') .attr('class', 'node') .call(drag(simulation)) .style('cursor', 'pointer') const nodeObjectText = g.append('g') .selectAll('.node-text') .data(nodes) .enter().append('g') .attr('class', 'node-text') .style('pointer-events', 'none') nodeObject.append('clipPath') .attr("id", d => playerClips[d.id].id) .append("circle") .attr('r', d => pointScale(d.points)); nodeObject.append('circle') .style('fill', d => d.id.split(' - ')[1] == 'Boston' ? celticsGreen : warriorsBlue) .style('fill-opacity', .85) .style('stroke-width', 5) .style('stroke', d => d.id.split(' - ')[1] == 'Boston' ? d3.color(celticsGreen).darker(1) : d3.color(warriorsBlue).darker(1)) .attr('r', d => pointScale(d.points)); nodeObjectText.append('text') .style('font', '12px sans-serif') .attr('clip-path', d => playerClips[d.id]) .style('font-size', d => `${fontSizeScale(pointScale(d.points))}px`) .style('text-anchor', 'middle') .style('fill', '#fff') .style('font-weight', 900) .attr('y', 2) .text(d => d.id.split(' - ')[0]) .style('filter', 'none') nodeObjectText.append('text') .style('font', '12px sans-serif') .style('font-size', d => `${fontSizeScale(pointScale(d.points))}px`) .style('text-anchor', 'middle') .style('fill', '#fff') .attr('y', d => fontSizeScale(pointScale(d.points)) + 2) .text(d => d.points + ' ' + statSelect); function ticked() { nodeObject.attr('transform', d => `translate(${d.x}, ${d.y})`) nodeObjectText.attr('transform', d => `translate(${d.x}, ${d.y})`) } invalidation.then(() => simulation.stop()); return svg.node(); }37:T987,// Cropped heads for animated charts emotionPlayerImages = ({ 'A. Horford': { 'shot made': await FileAttachment("horford-happy.png").url(), 'shot attempt': await FileAttachment("horford-sad.png").url() }, 'J. Brown': { 'shot made': await FileAttachment("jaylen-brown-happy.png").url(), 'shot attempt': await FileAttachment("jaylen-brown-sad.png").url() }, 'J. Tatum': { 'shot made': await FileAttachment("jayson-tatum-happy.png").url(), 'shot attempt': await FileAttachment("jayson-tatum-sad.png").url() }, 'S. Curry': { 'shot made': await FileAttachment("curry-happy.png").url(), 'shot attempt': await FileAttachment("curry-sad@1.png").url() }, 'D. Green': { 'shot made': await FileAttachment("draymond-happy.png").url(), 'shot attempt': await FileAttachment("draymond-sad.png").url() }, 'K. Thompson': { 'shot made': await FileAttachment("klay-thompson-happy.png").url(), 'shot attempt': await FileAttachment("klay-thompson-sad.png").url() }, 'J. Poole': { 'shot made': await FileAttachment("jordan-pool-happy.png").url(), 'shot attempt': await FileAttachment("jordan-poole-sad.png").url() }, 'J. Kuminga': { 'shot made': await FileAttachment("kuminga-happy.png").url(), 'shot attempt': await FileAttachment("kuminga-sad.png").url() }, 'M. Smart': { 'shot made': await FileAttachment("marcus-smart-happy.png").url(), 'shot attempt': await FileAttachment("marcus-smart-sad.png").url() }, 'R. Williams': { 'shot made': await FileAttachment("robert-williams-happy.png").url(), 'shot attempt': await FileAttachment("robert-williams-sad.png").url() }, 'D. White': { 'shot made': await FileAttachment("white-happy.png").url(), 'shot attempt': await FileAttachment("white-sad.png").url() }, 'A. Wiggins': { 'shot made': await FileAttachment("wiggins-happy.png").url(), 'shot attempt': await FileAttachment("wiggins-sad.png").url() }, 'O. Porter': { 'shot made': await FileAttachment("otto-happy.png").url(), 'shot attempt': await FileAttachment("otto-sad.png").url() }, 'D. Theis': { 'shot made': await FileAttachment("theis-happy.png").url(), 'shot attempt': await FileAttachment("theis-sad.png").url() }, 'P. Pritchard': { 'shot made': await FileAttachment("pritchard-happy.png").url(), 'shot attempt': await FileAttachment("pritchard-sad.png").url() }, 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Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"9d20fb5b6d3c54eb","reply_to_id":null,"content":"Right now thinking about adding WAR p 82, and maybe RAPTOR from FiveThirtyEight just to give some sort of lil' radar charts here. https://projects.fivethirtyeight.com/nba-player-ratings/?player=Jayson%20Tatum&season=2022","create_time":"$D2022-05-31T21:01:24.082Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"36a3d2a7d52eb0c6","reply_to_id":null,"content":"Probably remove this faceted one.","create_time":"$D2022-06-01T01:58:29.064Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"8cde31ec9c7dd51f","reply_to_id":null,"content":"Maybe we'll want to move the player images and merge over into the same place we're doing the parsing. Question for @paul's thoughts","create_time":"$D2022-06-01T01:59:11.089Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"8e6ea2446c29eea6","reply_to_id":null,"content":"I think it is Phoenix","create_time":"$D2022-06-01T12:57:05.360Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"47a208cae9f42ebb","login":"clintbagley","name":"Clint Bagley","avatar_url":"https://avatars-next.observableusercontent.com/cd1a423b11cc9e12999abcb8886a6a6a6ecba00ea5a2f224575aabd84fdb85e2","tier":null}},{"id":"94d5651c2ba460f2","reply_to_id":"8e6ea2446c29eea6","content":"Oh yeah, I am dumb, thank you! This is just fake data for now, it'll all be Warriors and Celtics for the finals!","create_time":"$D2022-06-01T13:12:57.298Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"56ac0f956a37357a","reply_to_id":"8cde31ec9c7dd51f","content":"Maybe we'll want to move the player images and merge over into the same place we're doing the parsing. Question for @pstuffa's thoughts","create_time":"$D2022-06-01T15:15:06.345Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"4fad954c38d4df54","reply_to_id":"8cde31ec9c7dd51f","content":"I added the player images to this dataset, which also has all the play by play data, grouped by player https://observablehq.com/d/2d08218aded46a4e#playerData","create_time":"$D2022-06-01T15:56:53.596Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"42520cea6c99d3c8","login":"pstuffa","name":"Paul Buffa","avatar_url":"https://avatars-next.observableusercontent.com/32c09bb97a2bb742225b949dcc4cf81a03dcd2b0caae97325970223a48a14b94","tier":null}},{"id":"1b147745c215ca09","reply_to_id":"8cde31ec9c7dd51f","content":"How are you the best of all time????","create_time":"$D2022-06-01T16:10:28.632Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"5d5e1f88b7ddb446","reply_to_id":"9d20fb5b6d3c54eb","content":"@pstuffa feel free to add some player stats charts here?","create_time":"$D2022-06-01T17:12:09.365Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"522ae8f2925e2d24","reply_to_id":null,"content":"Don't have heat data in here, that's why this is empty. We can leave as a placeholder if we want to keep this chart break down.","create_time":"$D2022-06-01T20:09:36.401Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"b6961ddedaf8a1a8","reply_to_id":null,"content":"We'll need to remove the miami color def and trade for warriors wherever necessary.","create_time":"$D2022-06-01T21:57:46.516Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"8db75d7039a92a16","reply_to_id":null,"content":"If we're doing the merging in another notebook, we need to include the player name in this format as a key/value: P. Buffa \nAs mentioned here: https://observablehq.com/d/2d08218aded46a4e#playerData","create_time":"$D2022-06-02T00:32:13.228Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"a82c78b7bffc8bf4","reply_to_id":"9d20fb5b6d3c54eb","content":"I got a good idea for this, similar to the circle packing stuff... coming soon","create_time":"$D2022-06-02T02:06:05.256Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"42520cea6c99d3c8","login":"pstuffa","name":"Paul Buffa","avatar_url":"https://avatars-next.observableusercontent.com/32c09bb97a2bb742225b949dcc4cf81a03dcd2b0caae97325970223a48a14b94","tier":null}},{"id":"9ba7aa745099f135","reply_to_id":"9d20fb5b6d3c54eb","content":"I was also thinking circle packing for the types of plays, might try and sneak that in too","create_time":"$D2022-06-02T12:03:08.308Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"d284f6c71782342a","reply_to_id":"522ae8f2925e2d24","content":"Not clear to me why its still blank?","create_time":"$D2022-06-02T16:45:50.489Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"42520cea6c99d3c8","login":"pstuffa","name":"Paul Buffa","avatar_url":"https://avatars-next.observableusercontent.com/32c09bb97a2bb742225b949dcc4cf81a03dcd2b0caae97325970223a48a14b94","tier":null}},{"id":"e3e6661675c72d55","reply_to_id":"522ae8f2925e2d24","content":"See slack message and messages above about matching playerData to playByPlay","create_time":"$D2022-06-02T17:42:11.536Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"c9088ec5a693fb58","login":"wiederkehra","name":"Anna Wiederkehr","avatar_url":"https://avatars-next.observableusercontent.com/309f2f5fa773b78376c2631c463386d1adaa6fab2c0b9912e88628029ff0ccf5","tier":null}},{"id":"f40882c821fce46a","reply_to_id":null,"content":"Suggestion. Can Game 1: June 2nd, 2022 be a little bigger and bold too? \nor is it too much to have the title \"Boston Celtics vs. Golden State Warriors Game 1\"","create_time":"$D2022-06-02T22:15:26.284Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"09230d7adcec9aeb","login":"waynesutton","name":"Wayne Sutton","avatar_url":"https://avatars-next.observableusercontent.com/49c28637703fbcb401c1c13d18e199b8b41788339fd93f55121719c62d89ee0a","tier":null}},{"id":"85b3d770ae1177d8","reply_to_id":null,"content":"I love this notebook! \nI found a small thing: The title for the links is supposed to show the difference?","create_time":"$D2022-06-04T23:41:46.644Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"9ba5e0b68d3e7972","login":"ee2dev","name":"","avatar_url":"https://avatars-next.observableusercontent.com/c41b514d64cff7415ffc87106c620e16cefe80b6d853fb3a05e19a000c3612c0","tier":null}},{"id":"c746f5bcec769f50","reply_to_id":"85b3d770ae1177d8","content":"Thanks!! Good catch - fixing now!","create_time":"$D2022-06-05T02:14:23.265Z","update_time":null,"resolved":true,"user":{"type":"individual","id":"42520cea6c99d3c8","login":"pstuffa","name":"Paul Buffa","avatar_url":"https://avatars-next.observableusercontent.com/32c09bb97a2bb742225b949dcc4cf81a03dcd2b0caae97325970223a48a14b94","tier":null}}],"custom_thumbnail":true,"trashed":false,"subscribed":null,"forks":9,"collection":{"id":"99a203be9b2cb2ad","slug":"nba-finals-players-data-jam","title":"NBA Finals Players Data Jam","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"type":"notebook","body":{"title":"NBA Finals, Game 1","cells":[{"id":1603,"value":"

yield randomImg\n yield html``\n await Promises.delay(200)\n }\n\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W38","stdlib":"1","titling":"auto"}} 31:"$30:body"