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index.html
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<!DOCTYPE html>
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.background path {
fill: none;
stroke: #ddd;
shape-rendering: crispEdges;
}
.foreground path {
fill: none;
opacity: 1;
}
.brush .extent {
fill-opacity: .3;
stroke: #fff;
shape-rendering: crispEdges;
}
.axis line,
.axis path {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.axis text {
text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
cursor: move;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 30, right: 10, bottom: 10, left: 10},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal().rangePoints([0, width], 1),
y = {},
dragging = {};
var line = d3.svg.line(),
axis = d3.svg.axis().orient("left"),
background,
foreground;
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 + ")");
var selections
var NUMERICAL = 1, CATEGORICAL = 2, TARGET = 3;
var columnType = {"age":NUMERICAL,
"sex":CATEGORICAL,
"cp":CATEGORICAL,
"trestbps":NUMERICAL,
"chol":NUMERICAL,
"fbs":CATEGORICAL,
"restecg":CATEGORICAL,
"thalach":NUMERICAL,
"exang":CATEGORICAL,
"oldpeak":NUMERICAL,
"slope":CATEGORICAL,
"ca":CATEGORICAL,
"thal":CATEGORICAL,
"target": TARGET};
var columnSVG = {}
var columnFilters = {}
var distributionPlotWidth = 200;
var distributionPlotHeight = 200;
var distributionPlotMargin = 30;
for (var columnName in columnType) {
if (columnType[columnName] == CATEGORICAL) {
temp = d3.select("body").append("svg")
.attr("width", distributionPlotWidth)
.attr("height", distributionPlotHeight + 40);
temp.append("text")
.attr("y", distributionPlotHeight + 20)
.attr("x", distributionPlotWidth / 2)
.text(columnName)
.attr("text-anchor", "middle");
columnSVG[columnName] = temp
.append("g")
.attr("transform", "translate(" + distributionPlotMargin + "," + distributionPlotMargin + ")");;
//var svg1 = columnSVG[columnName];
}
}
d3.csv("heart.csv", function(error, cars) {
//console.log(cars);
// Extract the list of dimensions and create a scale for each.
x.domain(dimensions = d3.keys(cars[0]).filter(function(d) {
return columnType[d]==NUMERICAL && (y[d] = d3.scale.linear()
.domain(d3.extent(cars, function(p) { return +p[d]; }))
.range([height, 0]));
}));
// Add grey background lines for context.
background = svg.append("g")
.attr("class", "background")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path);
// Add blue foreground lines for focus.
foreground = svg.append("g")
.attr("class", "foreground")
.selectAll("path")
.data(cars)
.enter().append("path")
.attr("d", path)
.attr("stroke", function(d) {
if (d["target"] == 1) {
return "red";
} else {
return "steelblue"
}
});
// Add a group element for each dimension.
var g = svg.selectAll(".dimension")
.data(dimensions)
.enter().append("g")
.attr("class", "dimension")
.attr("transform", function(d) { return "translate(" + x(d) + ")"; })
.call(d3.behavior.drag()
.origin(function(d) { return {x: x(d)}; })
.on("dragstart", function(d) {
console.log(x);
dragging[d] = x(d);
background.attr("visibility", "hidden");
})
.on("drag", function(d) {
dragging[d] = Math.min(width, Math.max(0, d3.event.x));
console.log(dragging);
foreground.attr("d", path);
dimensions.sort(function(a, b) { return position(a) - position(b); });
x.domain(dimensions);
g.attr("transform", function(d) { return "translate(" + position(d) + ")"; })
})
.on("dragend", function(d) {
delete dragging[d];
transition(d3.select(this)).attr("transform", "translate(" + x(d) + ")");
transition(foreground).attr("d", path);
background
.attr("d", path)
.transition()
.delay(500)
.duration(0)
.attr("visibility", null);
}));
// Add an axis and title.
g.append("g")
.attr("class", "axis")
.each(function(d) { d3.select(this).call(axis.scale(y[d])); })
.append("text")
.style("text-anchor", "middle")
.attr("y", -9)
.text(function(d) { return d; });
// Add and store a brush for each axis.
g.append("g")
.attr("class", "brush")
.each(function(d) {
d3.select(this)
.call(y[d].brush = d3.svg.brush()
.y(y[d])
.on("brushstart", brushstart)
.on("brush", brushandupdate));
})
.selectAll("rect")
.attr("x", -8)
.attr("width", 16);
updateSubplots(cars);
function brushandupdate() {
brush();
updateSubplots(cars);
}
});
function position(d) {
var v = dragging[d];
return v == null ? x(d) : v;
}
function transition(g) {
return g.transition().duration(500);
}
// Returns the path for a given data point.
function path(d) {
return line(dimensions.map(function(p) { return [position(p), y[p](d[p])]; }));
}
function brushstart() {
d3.event.sourceEvent.stopPropagation();
}
// Handles a brush event, toggling the display of foreground lines.
function brush() {
var actives = dimensions.filter(function(p) { return !y[p].brush.empty(); }),
extents = actives.map(function(p) { return y[p].brush.extent(); });
foreground.style("display", function(d) {
var filteredOut = false;
for (var columnFilter in columnFilters) {
if (columnFilters[columnFilter] != undefined && d[columnFilter] != columnFilters[columnFilter]) {
//return "none";
filteredOut = true;
break;
}
}
if (filteredOut) {
return "none";
}
return actives.every(function(p, i) {
return extents[i][0] <= d[p] && d[p] <= extents[i][1];
}) ? null : "none";
});
}
var firstTime = true;
function updateSubplots(data) {
//console.log(y);
var actives = undefined, extents = undefined;
if (y != undefined) {
actives = dimensions.filter(function(p) { return !y[p].brush.empty(); });
extents = actives.map(function(p) { return y[p].brush.extent(); });
}
//console.log(actives);
data_filtered = {};
for (var row in data) {
var filteredOut = false;
if (actives != undefined) {
if (!(actives.every(function(p, i) {
return extents[i][0] <= data[row][p] && data[row][p] <= extents[i][1];
}))) {
filteredOut = true;
}
}
for (var columnFilter in columnFilters) {
if (columnFilters[columnFilter] != undefined && data[row][columnFilter] != columnFilters[columnFilter]) {
filteredOut = true;
break;
}
}
//console.log(columnName);
//console.log("filters");
//console.log(columnFilters);
if (filteredOut) {
data_filtered[row] = true;
} else {
data_filtered[row] = false;
}
}
for (var columnName in columnType) {
if (columnType[columnName] == CATEGORICAL) {
var aggregated = {};
var original = {};
for (var row in data) {
if (!data_filtered[row]) {
if (aggregated[data[row][columnName]] == undefined) {
aggregated[data[row][columnName]] = 1;
} else {
aggregated[data[row][columnName]] += 1;
}
}
if (original[data[row][columnName]] == undefined) {
original[data[row][columnName]] = 1;
} else {
original[data[row][columnName]] += 1;
}
}
//console.log(aggregated);
for (var name in original){
if (aggregated[name] == undefined) {
aggregated[name] = 0;
}
}
var numberOfCategories = Object.keys(original).length;
var y1 = d3.scale.linear()
.domain([0, d3.max(Object.values(original))])
.range([distributionPlotHeight - 2 * distributionPlotMargin, distributionPlotMargin]);
//console.log(y(207));
var x1 = d3.scale.ordinal()
.domain(Object.keys(original))
.rangeRoundBands([distributionPlotMargin, distributionPlotWidth - distributionPlotMargin]);
var svg = columnSVG[columnName];
var barWidth = (distributionPlotWidth - 2 * distributionPlotMargin) / numberOfCategories - 10;
var barSepration = barWidth + 10;
var toPlot = Object.values(aggregated);
var toPlotBackground = Object.values(original);
//var currCol = columnName;
svg.selectAll("rect").remove();
//svg.selectAll("g").remove();
var backgroundBars = svg.selectAll(".mybgrect")
.data(toPlotBackground)
.enter()
.append("rect")
.attr("y", function(d) {
return y1(d);
})
.attr("height", function(d) {
return distributionPlotHeight - 2 * distributionPlotMargin - y1(d);
})
.attr("width", barWidth)
.attr("transform", function (d, i) {
var translate = [barSepration * i + 5, 0];
return "translate("+ translate +")";
})
.attr("stroke", "black")
.attr("stroke-dasharray", "5,5")
.attr("fill-opacity", 0)
.attr("columnName", columnName)
.attr("columnValue", function (d,i) {
return Object.keys(aggregated)[i];
})
.on("click", function(d,i) {
var columnName = d3.select(this).attr("columnName");
var columnValue = d3.select(this).attr("columnValue");
if (columnFilters[columnName] == columnValue) {
columnFilters[columnName] = undefined;
//this.attr("fill", "blue");
} else {
console.log(columnName);
columnFilters[columnName] = columnValue;
}
updateSubplots(data);
/*
foreground.style("display", function(d) {
var filteredOut = false;
for (var columnFilter in columnFilters) {
if (columnFilters[columnFilter] != undefined && d[columnFilter] != columnFilters[columnFilter]) {
//return "none";
filteredOut = true;
break;
}
}
return filteredOut ? "none ": null;
});
*/
brush();
console.log(columnFilters);
});
var barChart = svg.selectAll(".myfrontbars")
.data(toPlot)
.enter()
.append("rect")
.attr("y", function(d) {
return y1(d);
})
.attr("height", function(d) {
return distributionPlotHeight - 2 * distributionPlotMargin - y1(d);
})
.attr("width", barWidth)
.attr("transform", function (d, i) {
var translate = [barSepration * i + 5, 0];
return "translate("+ translate +")";
})
.attr("fill", function(d,i) {
if ((columnFilters[columnName] == Object.keys(aggregated)[i])) {
return "red";
} else {
return "blue";
}
})
.attr("columnName", columnName)
.attr("columnValue", function (d,i) {
return Object.keys(aggregated)[i];
})
.on("click", function(d,i) {
var columnName = d3.select(this).attr("columnName");
var columnValue = d3.select(this).attr("columnValue");
if (columnFilters[columnName] == columnValue) {
columnFilters[columnName] = undefined;
//this.attr("fill", "blue");
} else {
console.log(columnName);
columnFilters[columnName] = columnValue;
}
updateSubplots(data);
/*
foreground.style("display", function(d) {
var filteredOut = false;
for (var columnFilter in columnFilters) {
if (columnFilters[columnFilter] != undefined && d[columnFilter] != columnFilters[columnFilter]) {
//return "none";
filteredOut = true;
break;
}
}
return filteredOut ? "none ": null;
});
*/
brush();
console.log(columnFilters);
});
//svg.selectAll("rect").remove();
if (firstTime) {
var xAxis = d3.svg.axis()
.scale(x1).orient("bottom");
svg.append("g").attr("transform", `translate(${-distributionPlotMargin}, ${distributionPlotHeight - 2 * distributionPlotMargin})`).call(xAxis);
var yAxis = d3.svg.axis().scale(y1).orient("left");
svg.append("g").attr("transform", `translate(0,0)`).call(yAxis);
}
}
}
firstTime = false;
}
</script>