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Charles Redmond
Published
Data Viz (Grad)
Edited
Feb 5, 2020
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Data Viz (Grad)
Data Visualization (Grad) 2020Starter Template Data VizSVG IntroTransformsBarbellHouseD3 IntroSlidersTransitionsAnimationFor LoopsIntro to Graphing
Graphing from Scratch
Tracing a FunctionFilteringMore with FilteringMore Areas Under CurvesNormal Curve ApplicationPractice MidtermData SetsTime Series/Line ChartHistogramsMarch 17 (Grad Data Viz)March 24 (Grad Data Viz)March 26 (Grad Data Viz)March 31 (Grad Data Viz)April 2 (Grad Data Viz)April 7 (Grad Data Viz)April 14 (Grad Data Viz)April 16 (Grad Data Viz)April 21 (Grad Data Viz)April 23 (Grad Data Viz)April 28 (Grad Data Viz)April 30 (Grad Data Viz)Data Viz Final Problem 1Data Viz Final Problem 2
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{
var svgDims = [600,300]
var svg = d3.select(DOM.svg(svgDims[0],svgDims[1])).attr("style","background:white;border:1px solid black")
var xAxis = svg.append("g").attr("transform",`translate(0,270)`)
d3.axisBottom(xScale)(xAxis)
var yAxis = svg.append("g").attr("transform",`translate(${xScale(0)},0)`)
d3.axisLeft(yScale)(yAxis)
for(var i = 0;i<data.length;i++){
svg.append("circle")
.attr("r",1)
.attr("cx",xScale(data[i].x))
.attr("cy",yScale(data[i].y))
}
yield svg.node()
}
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xScale = d3.scaleLinear().domain([-10,10]).range([30,570])
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yScale = d3.scaleLinear().domain([0,100]).range([270,30])
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data = {
var data = []
for(var i = -10;i<=10;i+=.01){
data.push({x:i,y:i*i})
}
return data
}
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// For Loop
{
for(var i = 0;i < 10; i++){
}
}
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// While Loop
{
var i = 0
while(i < 10){
i++
}
}
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