Built with blockbuilder.org
Last active
February 12, 2018 19:53
-
-
Save SpaceActuary/712c9f6a3a57e012e1a12b5e3ca19548 to your computer and use it in GitHub Desktop.
Statistical Summaries
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
count | min | p25 | median | p75 | max | mean | |
---|---|---|---|---|---|---|---|
20 | -1.5962268562822681 | -0.27496873806393995 | 0.590106005243372 | 1.6372920342677557 | 3.707343003109737 | 0.7166006482224265 | |
66 | -1.5851205060435567 | -0.33785073255720427 | 0.023084836830005662 | 0.34559110995355913 | 1.4257981370845658 | -0.012238454195877406 | |
52 | -5.203138771345231 | -1.966842666609654 | -0.11819865259216729 | 1.8101197428151161 | 4.5227710879501934 | -0.2742241463649254 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<head> | |
<meta charset="utf-8"> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script> | |
<script src="https://cdn.jsdelivr.net/jstat/1.5.0/jstat.min.js"></script> | |
<style> | |
body { | |
margin:0; | |
position:fixed; | |
top:0;right:0;bottom:0;left:0; | |
font-size: 14px; | |
font-family: sans-serif; | |
} | |
svg { margin: 0px; } | |
table { | |
margin: 20px; | |
border-collapse: collapse; | |
} | |
table, th, td { | |
border: 1px solid black; | |
padding: 5px; | |
} | |
rect { fill: steelblue; } | |
line { stroke: #222; stroke-width: 1px; } | |
circle { fill: #222; } | |
rect.outline { | |
stroke: #000000; | |
stroke-width: 1px; | |
fill: none; | |
} | |
text.count { | |
fill: #000; | |
text-anchor: end; | |
} | |
text { | |
dominant-baseline: central; | |
} | |
</style> | |
</head> | |
<body> | |
<script> | |
console.clear() | |
var margin = {top: 20, bottom: 20, left: 20, right: 20}, | |
height = 500 - margin.top - margin.bottom, // default height | |
width = 900 - margin.left - margin.right; // default width | |
var svg = d3.select("body").append("svg") | |
.attr("width", width + margin.left + margin.right) | |
.attr("height", height + margin.top + margin.bottom) | |
.append("g") | |
.attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
d3.csv("data.csv", function(mydata){ | |
mydata.forEach(function(d){ | |
d.count = +d.count; | |
d.min = +d.min; | |
d.p25 = +d.p25; | |
d.median = +d.median; | |
d.p75 = +d.p75; | |
d.max = +d.max; | |
d.mean = +d.mean; | |
}) | |
//console.table(mydata); | |
var maxCount = d3.max(mydata, function(d){ return d.count; }), | |
minmin = d3.min(mydata, function(d){ return d.min; }), | |
maxmax = d3.max(mydata, function(d){ return d.max; }) | |
var rows = svg.selectAll("g.row").data(mydata); | |
var myParamLevelSummary = ParamLevelSummary() | |
.countDomain([0, maxCount]) | |
.paramDomain([minmin, maxmax]) | |
.countValue(function(d){ return d.count; }) | |
var rowsEnter = rows.enter().append("g") | |
.attr("class", "row") | |
rows.call(myParamLevelSummary) | |
}); | |
function ParamLevelSummary() { | |
var height = 50, // default height | |
levelWidth = 100, | |
countWidth = 100, | |
paramWidth = 400, | |
width = countWidth + paramWidth + 200, | |
countFormat = d3.format(",.0f"), | |
paramFormat = d3.format(".3f"), | |
levelValue = function(d, i){ return i; }, | |
countValue = function(d, i){ return i; }, | |
paramValue = function(d, i){ return i; }, | |
countScale = d3.scale.linear().range([0, 1]), | |
paramScale = d3.scale.linear(), | |
line = d3.svg.line() | |
.x(function(d, i, data){ return xScale(d.x); }) | |
.y(function(d, i, data){ return yScale(d.y); }); | |
function chart(selection) { | |
selection.each(function(data, i){ | |
var chartData = data; | |
console.log(i); | |
console.table([chartData]); | |
var yExt = d3.extent(chartData, function(d){ return d.y; }); | |
countScale | |
.range([0, countWidth]); | |
paramScale | |
.range([0, paramWidth]); | |
var gRow = d3.select(this).selectAll("g.main").data([chartData]) | |
var gRowEnter = gRow.enter().append("g").attr("class", "main") | |
gRowEnter.append("rect").attr("class", "outline") | |
gRowEnter.append("text").attr("class", "level") | |
gRowEnter.append("text").attr("class", "count") | |
gRowEnter.append("rect").attr("class", "count") | |
var gParamEnter = gRowEnter.append("g").attr("class", "param") | |
var boxPlot = MinimalBoxPlot() | |
.width(paramWidth) | |
.height(height) | |
.xValue(paramValue) | |
.xDomain(paramScale.domain()) | |
.xFormat(paramFormat) | |
var gParam = gRow.selectAll("g.param") | |
.attr("transform", "translate(" + (levelWidth+countWidth+40) + ",0)") | |
.call(boxPlot) | |
gRow.attr("transform", "translate(" + 0 + "," + (i * (height + 5)) + ")") | |
.attr("width", width) | |
.attr("height", height); | |
var outline = gRow.selectAll("rect.outline") | |
.attr("width", width ) | |
.attr("height", height); | |
var countText = gRow.selectAll("text.level") | |
.text(levelValue(data, i)) | |
.attr("transform", "translate(" + 10 + "," + (height / 2) + ")"); | |
var countText = gRow.selectAll("text.count") | |
.text(countValue(data, i)) | |
.attr("transform", "translate(" + (levelWidth+20) + "," + (height/2) + ")"); | |
var countRect = gRow.selectAll("rect.count") | |
.attr("transform", "translate(" + (levelWidth+30) + "," + (height/4) + ")") | |
.attr("height", height / 2) | |
.attr("width", countScale(countValue(data))); | |
}); | |
} | |
chart.width = function(_) { | |
if (!arguments.length) return width; | |
width = _; | |
return chart; | |
}; | |
chart.height = function(_) { | |
if (!arguments.length) return height; | |
height = _; | |
return chart; | |
}; | |
chart.countValue = function(_) { | |
if (!arguments.length) return countValue; | |
countValue = _; | |
return chart; | |
}; | |
chart.paramValue = function(_) { | |
if (!arguments.length) return paramValue; | |
paramValue = _; | |
return chart; | |
}; | |
chart.countFormat = function(_) { | |
if (!arguments.length) return countFormat; | |
countFormat = _; | |
return chart; | |
}; | |
chart.paramFormat = function(_) { | |
if (!arguments.length) return paramFormat; | |
paramFormat = _; | |
return chart; | |
}; | |
chart.countDomain = function(_) { | |
if (!arguments.length) return countScale.domain; | |
countScale.domain(_); | |
return chart; | |
}; | |
chart.paramDomain = function(_) { | |
if (!arguments.length) return paramScale.domain; | |
paramScale.domain(_); | |
return chart; | |
}; | |
return chart; | |
} | |
function MinimalBoxPlot() { | |
var height = 50, // default height | |
width = 400, | |
xFormat = d3.format(".3f"), | |
xValue = function(d, i){ return i; }, | |
xScale = d3.scale.linear(); | |
function chart(selection) { | |
selection.each(function(data, i){ | |
var chartData = data; | |
console.log(i); | |
console.table([chartData]); | |
var yExt = d3.extent(chartData, function(d){ return d.y; }); | |
xScale.range([0, width]); | |
var gElement = d3.select(this).selectAll("g.miniboxplot").data([chartData]) | |
var gElementEnter = gElement.enter().append("g").attr("class", "miniboxplot") | |
gElementEnter.append("line").attr("class", "range") | |
gElementEnter.append("line").attr("class", "p25") | |
gElementEnter.append("line").attr("class", "p50") | |
gElementEnter.append("line").attr("class", "p75") | |
gElementEnter.append("circle").attr("class", "mean") | |
gElement.attr("transform", "translate(" + (0) + ",0)") | |
// range | |
var range = gElement.selectAll("line.range") | |
.attr("x1", function(d){ return xScale(d.min); }) | |
.attr("x2", function(d){ return xScale(d.max); }) | |
.attr("y1", height / 2) | |
.attr("y2", height / 2) | |
// 25th percentile | |
var p25 = gElement.selectAll("line.p25") | |
.attr("x1", function(d){ return xScale(d.p25); }) | |
.attr("x2", function(d){ return xScale(d.p25); }) | |
.attr("y1", 6) | |
.attr("y2", height - 6) | |
// median | |
var p50 = gElement.selectAll("line.p50") | |
.attr("x1", function(d){ return xScale(d.median); }) | |
.attr("x2", function(d){ return xScale(d.median); }) | |
.attr("y1", 2) | |
.attr("y2", height - 2) | |
// 75th percentile | |
var p75 = gElement.selectAll("line.p75") | |
.attr("x1", function(d){ return xScale(d.p75); }) | |
.attr("x2", function(d){ return xScale(d.p75); }) | |
.attr("y1", 6) | |
.attr("y2", height - 6) | |
// mean | |
var mean = gElement.selectAll("circle.mean") | |
.attr("cy", height / 2) | |
.attr("cx", function(d){ return xScale(d.mean); }) | |
.attr("r", 5) | |
}); | |
} | |
chart.width = function(_) { | |
if (!arguments.length) return width; | |
width = _; | |
return chart; | |
}; | |
chart.height = function(_) { | |
if (!arguments.length) return height; | |
height = _; | |
return chart; | |
}; | |
chart.xValue = function(_) { | |
if (!arguments.length) return xValue; | |
xValue = _; | |
return chart; | |
}; | |
chart.xFormat = function(_) { | |
if (!arguments.length) return xFormat; | |
xFormat = _; | |
return chart; | |
}; | |
chart.xDomain = function(_) { | |
if (!arguments.length) return xScale.domain; | |
xScale.domain(_); | |
return chart; | |
}; | |
return chart; | |
} | |
d3.csv("data.csv", function(mydata){ | |
mydata.forEach(function(d){ | |
d.count = +d.count; | |
d.min = +d.min; | |
d.p25 = +d.p25; | |
d.median = +d.median; | |
d.p75 = +d.p75; | |
d.max = +d.max; | |
d.mean = +d.mean; | |
}) | |
console.table(mydata); | |
var maxCount = d3.max(mydata, function(d){ return d.count; }), | |
minmin = d3.min(mydata, function(d){ return d.min; }), | |
maxmax = d3.max(mydata, function(d){ return d.max; }) | |
/* | |
thead.selectAll("th").data(["Group", "Count", "Range"]) | |
.enter().append("th") | |
.html(function(d){ return d; }) | |
var tr = tbody.selectAll("tr").data(mydata); | |
var trEnter = tr.enter().append("tr") | |
trEnter.append("td").html(function(d, i){ return i; }) | |
var countSVG = trEnter.append("td").html(function(d, i){ return d.count; }) | |
.append("svg") | |
.attr("height", rowHeight) | |
.attr("width", barWidth) | |
countSVG.append("rect") | |
.attr("height", rowHeight) | |
.attr("width", function(d){ return d3.round(d.count / maxCount * barWidth); }) | |
var rangeSVG = trEnter.append("td").append("svg") | |
.attr("height", rowHeight) | |
.attr("width", rangeWidth) | |
var rangeScale = d3.scale.linear() | |
.domain([minmin, maxmax]) | |
.range([0, rangeWidth]); | |
// reference | |
rangeSVG.append("line") | |
.attr("x1", function(d){ return rangeScale(0); }) | |
.attr("x2", function(d){ return rangeScale(0); }) | |
.attr("y1", 0) | |
.attr("y2", rowHeight) | |
.attr("stroke-dasharray", "2 2 2 2") | |
*/ | |
}); | |
function data(n){ | |
var samples = d3.range(0, n).map(function(){ | |
var mean = Math.random() - 0.5, | |
sd = Math.random() * 3, | |
x = Math.floor(Math.random() * 60) + 20, | |
myrand = d3.random.normal(mean, sd); | |
return d3.range(0, x).map(function(){ return myrand(); }); | |
}); | |
return samples.map(function(d){ | |
d = d.sort(d3.ascending) | |
return [ | |
d.length, | |
d3.quantile(d, 0), | |
d3.quantile(d, 0.25), | |
d3.quantile(d, 0.5), | |
d3.quantile(d, 0.75), | |
d3.quantile(d, 1), | |
d3.mean(d) | |
] | |
}) | |
} | |
</script> | |
</body> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment