d3.js brushable choropleth - javascript

I'm following this tutorial to build a brushable scatterplot and choropleth map.
I also want to show the states name by adding tooltips on choropleth.
The problem might be how to get the states name in the json file.
I tried features.properties.name but got the error : Uncaught TypeError: Cannot read property 'name' of undefined.
Could anyone please help?
Thanks!
<!DOCTYPE html>
<meta charset="utf-8">
<style>
div { float: left; }
</style>
<body>
<!-- <svg width="760" height="400"></svg> -->
<div id="choropleth"></div>
<div id="scatterplot"></div>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/topojson.v1.min.js"></script>
<script>
d3.queue()
.defer(d3.csv, 'https://raw.githubusercontent.com/irrie/myprojects/master/usage0.csv', function (d) {
return {
name: d.State,
penetration: +d.Facebook_Penetration,
young_proportion: +d.YoungProportion
}
})
.defer(d3.json, 'https://raw.githubusercontent.com/python-visualization/folium/master/tests/us-states.json')
.awaitAll(initialize)
var color = d3.scaleThreshold()
.domain([0.3, 0.44, 0.6])
.range(['#fbb4b9', '#f768a1', '#c51b8a', '#7a0177'])
function initialize(error, results) {
if (error) { throw error }
var data = results[0]
var features = results[1].features
var components = [
choropleth(features),
scatterplot(onBrush)
]
function update() {
components.forEach(function (component) { component(data) })
}
function onBrush(x0, x1, y0, y1) {
var clear = x0 === x1 || y0 === y1
data.forEach(function (d) {
d.filtered = clear ? false
: d.young_proportion < x0 || d.young_proportion > x1 || d.penetration < y0 || d.penetration > y1
})
update()
}
update()
}
function scatterplot(onBrush) {
var margin = { top: 10, right: 15, bottom: 40, left: 75 }
var width = 360 - margin.left - margin.right
var height = 300 - margin.top - margin.bottom
var x = d3.scaleLinear()
.range([0, width])
var y = d3.scaleLinear()
.range([height, 0])
var xAxis = d3.axisBottom()
.scale(x)
// .tickFormat(d3.format('.2s'))
var yAxis = d3.axisLeft()
.scale(y)
.tickFormat(d3.format('.0%'))
var brush = d3.brush()
.extent([[0, 0], [width, height]])
.on('start brush', function () {
var selection = d3.event.selection
var x0 = x.invert(selection[0][0])
var x1 = x.invert(selection[1][0])
var y0 = y.invert(selection[1][1])
var y1 = y.invert(selection[0][1])
onBrush(x0, x1, y0, y1)
})
var svg = d3.select('#scatterplot')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
//.attr("transform", "translate(-370,390)")
.append('g')
.attr("transform", "translate(50,10)")
// .attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
var bg = svg.append('g')
var gx = svg.append('g')
.attr('class', 'x axis')
.attr('transform', 'translate(0,' + height + ')')
var gy = svg.append('g')
.attr('class', 'y axis')
gx.append('text')
.attr('x', width)
.attr('y', 35)
.style('text-anchor', 'end')
.style('fill', '#000')
.style('font-weight', 'bold')
.text('Young Proportion')
gy.append('text')
.attr('transform', 'rotate(-90)')
.attr('x', 0)
.attr('y', -40)
.style('text-anchor', 'end')
.style('fill', '#000')
.style('font-weight', 'bold')
.text('Facebook Penetration')
svg.append('g')
.attr('class', 'brush')
.call(brush)
return function update(data) {
x.domain(d3.extent(data, function (d) { return d.young_proportion })).nice()
y.domain(d3.extent(data, function (d) { return d.penetration })).nice()
gx.call(xAxis)
gy.call(yAxis)
var bgRect = bg.selectAll('rect')
.data(d3.pairs(d3.merge([[y.domain()[0]], color.domain(), [y.domain()[1]]])))
bgRect.exit().remove()
bgRect.enter().append('rect')
.attr('x', 0)
.attr('width', width)
.merge(bgRect)
.attr('y', function (d) { return y(d[1]) })
.attr('height', function (d) { return y(d[0]) - y(d[1]) })
.style('fill', function (d) { return color(d[0]) })
var circle = svg.selectAll('circle')
.data(data, function (d) { return d.name })
circle.exit().remove()
circle.enter().append('circle')
.attr('r', 4)
.style('stroke', '#fff')
.merge(circle)
.attr('cx', function (d) { return x(d.young_proportion) })
.attr('cy', function (d) { return y(d.penetration) })
.style('fill', function (d) { return color(d.penetration) })
.style('opacity', function (d) { return d.filtered ? 0.5 : 1 })
.style('stroke-width', function (d) { return d.filtered ? 1 : 2 })
}
}
function choropleth(features) {
var width = 450
var height = 320
var projection = d3.geoAlbersUsa()
.scale([width * 1.25])
.translate([width / 2, height / 2])
var path = d3.geoPath().projection(projection)
var svg = d3.select('#choropleth')
.append('svg')
.attr('width', width)
.attr('height', height)
svg.selectAll('path')
.data(features)
.enter()
.append('path')
.attr('d', path)
.style('stroke', '#fff')
.style('stroke-width', 1)
.on("mouseenter", function(d) {
d3.select(this)
.style("stroke-width", 1.5)
.style("stroke-dasharray", 0)
d3.select("#choropleth")
.transition()
.style("opacity", 1)
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY) + "px")
.text(features.properties.name)}) //here
.on("mouseleave", function(d) {
d3.select(this)
.style("stroke-width", .25)
.style("stroke-dasharray", 1)
d3.select("#Text")
.transition()
.style("opacity", 0.9);
})
return function update(data) {
svg.selectAll('path')
.data(data, function (d) { return d.name || d.properties.name })
.style('fill', function (d) { return d.filtered ? '#ddd' : color(d.penetration) })
}
}
</script>
</body>
(see also this fiddle: http://jsfiddle.net/swo8r7zk/)

You can use d.name in that scope. d also has penetration and young_proportion properties for each state. These are defined at the beginning of the file where you load the CSV data.

Related

my data is undefined in my d3.js data viz

I'm trying to build a line graph that when the user hovers over a part of the chart, a callout appears with the date, country and incidents data points. however currently all my data points show up as 'undefined'. does anyone know what's going on here?
here is my code.
function circleHover(chosen) {
if (modus == "incidents") {
d3.select("#callOut")
.style("top", "570px")
.style("left", "30px");
d3.select("#divCountry").html('Country: ' + chosen.country);
d3.select("#divDate").html('Date: ' + chosen.date);
d3.select("#divIncidents").html('Incidents: ' + chosen.incidents);
d3.select("#callOut")
.style("visibility","visible");
}
if (modus == "fatalities") {
d3.select("#callOut2")
.style("top", "570px")
.style("left", "30px");
d3.select("#divCountry2").html('Country: ' + chosen.country);
d3.select("#divDate2").html('Date: ' + chosen.date);
d3.select("#divFatalities2").html('Fatalities: ' + chosen.fatalities);
d3.select("#callOut2")
.style("visibility","visible");
}
if (modus == "injuries") {
d3.select("#callOut3")
.style("top", "570px")
.style("left", "30px");
d3.select("#divCountry3").html('Country: ' + chosen.country);
d3.select("#divDate3").html('Date: ' + chosen.date);
d3.select("#divInjuries3").html('Injuries: ' + chosen.injuries);
d3.select("#callOut3")
.style("visibility","visible");
}
};
function showOne(d) {
var margin = {top: 80, right: 80, bottom: 80, left: 80},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var svg = d3.select("#svg").append("svg")
.attr("width", width)
.attr("height", height);
var incidentsData = svg.append("g");
incidentsData.selectAll(".incidentsData")
.data(incidentData)
.enter()
.append('incidentsData')
.attr('class', 'incidentsData');
var fatalitiesData = svg.append("g");
fatalitiesData.selectAll(".fatalitiesData")
.data(fatalityData)
.enter()
.append('fatalitiesData')
.attr('class', 'fatalitiesData');
var injuriesData = svg.append("g");
injuriesData.selectAll(".injuriesData")
.data(injuryData)
.enter()
.append('injuriesData')
.attr('class', 'injuriesData');
var chosen = d;
var setOpacity = 0;
if (modus == "incidents") {
circleHover(chosen);
setOpacity = 0.1;
incidentsData.selectAll(".incidentsData")
.filter(function (d) { return eval("d.country") != eval("chosen.country");})
.style("fill-opacity", setOpacity);
}
if (modus == "fatalities") {
circleHover(chosen);
setOpacity = 0.1;
fatalitiesData.selectAll(".fatalitiesData")
.filter(function (d) { return eval("d.country") != eval("chosen.country");})
.style("fill-opacity", setOpacity);
}
if (modus == "injuries") {
circleHover(chosen);
setOpacity = 0.1;
injuriesData.selectAll(".injuriesData")
.filter(function (d) { return eval("d.country") != eval("chosen.country");})
.style("fill-opacity", setOpacity);
}
};
function showAll() {
var margin = {top: 80, right: 80, bottom: 80, left: 80},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var svg = d3.select("#svg").append("svg")
.attr("width", width)
.attr("height", height);
var incidentsData = svg.append("g");
incidentsData.selectAll(".incidentsData")
.data(incidentData)
.enter()
.append('incidentsData')
.attr('class', 'incidentsData');
var fatalitiesData = svg.append("g");
fatalitiesData.selectAll(".fatalitiesData")
.data(fatalityData)
.enter()
.append('fatalitiesData')
.attr('class', 'fatalitiesData');
var injuriesData = svg.append("g");
injuriesData.selectAll(".injuriesData")
.data(injuryData)
.enter()
.append('injuriesData')
.attr('class', 'injuriesData');
if (modus == "incidents") {
incidentsData.selectAll(".incidentsData")
.style("fill-opacity", 0.5);
d3.select("#callOut").style("visibility","hidden");
}
if (modus == "fatalities") {
fatalitiesData.selectAll(".fatalitiesData")
.style("fill-opacity", 0.5);
d3.select("#callOut2").style("visibility","hidden");
}
if (modus == "injuries") {
injuriesData.selectAll(".injuriesData")
.style("fill-opacity", 0.5);
d3.select("#callOut3").style("visibility","hidden");
}
};
//totalIncidents
function totalIncidentsLineGraph() {
modus = "incidents";
var margin = {top: 80, right: 80, bottom: 80, left: 80},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var svg = d3.select("#svg").append("svg")
.attr("width", width)
.attr("height", height);
var incidentsData = svg.append("g");
incidentsData.selectAll(".incidentsData")
.data(incidentData)
.enter()
.append('incidentsData')
.attr('class', 'incidentsData');
//.on("mouseover", showOne)
//.on("mouseout", showAll);
//.attr('id', function (d) { return "id_2010_" + d.rank_pop; })
//var parse = d3.time.format("%b %Y").parse;
var parse = d3.time.format("%Y").parse;
// Scales and axes. Note the inverted domain for the y-scale: bigger is up!
var x = d3.time.scale().range([0, width]),
y = d3.scale.linear().range([height, 0]),
xAxis = d3.svg.axis().scale(x).tickSize(-height).tickSubdivide(true),
yAxis = d3.svg.axis().scale(y).ticks(4).orient("right");
// An area generator, for the light fill.
var area = d3.svg.area()
.interpolate("monotone")
.x(function(d) { return x(d.date); })
.y0(height)
.y1(function(d) { return y(d.incidents); });
// A line generator, for the dark stroke.
var line = d3.svg.line()
.interpolate("monotone")
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.incidents); });
// Parse dates and numbers. We assume israel are sorted by date.
function type(d) {
d.country = d.country;
d.date = parse(d.date);
d.incidents = +d.incidents
return d;
};
var data = d3.csv("static/data/israel/incidents_linechart.csv", type, function(error, data) {
console.log(data);
var israel = data.filter(function(d) {
return d.country == "Israel";
});
var unitedStates = data.filter(function(d) {
return d.country == "United States";
});
var iran = data.filter(function(d) {
return d.country == "Iran";
});
var saudiArabia = data.filter(function(d) {
return d.country == "Saudi Arabia";
});
var turkey = data.filter(function(d) {
return d.country == "Turkey";
});
var egypt = data.filter(function(d) {
return d.country == "Egypt";
});
var syria = data.filter(function(d) {
return d.country == "Syria";
});
var lebanon = data.filter(function(d) {
return d.country == "Lebanon";
});
var jordan = data.filter(function(d) {
return d.country == "Jordan";
});
var palestine = data.filter(function(d) {
return d.country == "Palestine";
});
x.domain([unitedStates[0].date, unitedStates[unitedStates.length - 1].date]);
y.domain([0, d3.max(egypt, function(d) { return d.incidents; })]).nice();
//x.domain([israel[0].date, israel[israel.length - 1].date]);
//y.domain([0, d3.max(israel, function(d) { return d.incidents; })]).nice();
// Add an SVG element with the desired dimensions and margin.
var svg = d3.select("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
// Add the clip path.
svg.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
// Add the x-axis.
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the y-axis.
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ",0)")
.call(yAxis);
var colors = d3.scale.category10();
svg.selectAll('.line')
.data([israel, unitedStates, iran, saudiArabia, turkey, egypt, syria, lebanon, jordan, palestine]) /// can add however many i want here
.enter()
.append('path')
.attr('class', 'line')
.style('stroke', function(d) {
return colors(Math.random() * 50);
})
.attr('clip-path', 'url(#clip)')
.attr('d', function(d) {
return line(d);
})
.on("mouseover", showOne)
.on("mouseout", showAll);
/* Add 'curtain' rectangle to hide entire graph */
var curtain = svg.append('rect')
.attr('x', -1 * width)
.attr('y', -1 * height)
.attr('height', height)
.attr('width', width)
.attr('class', 'curtain')
.attr('transform', 'rotate(180)')
.style('fill', '#ffffff')
/* Optionally add a guideline */
var guideline = svg.append('line')
.attr('stroke', '#333')
.attr('stroke-width', 0)
.attr('class', 'guide')
.attr('x1', 1)
.attr('y1', 1)
.attr('x2', 1)
.attr('y2', height)
/* Create a shared transition for anything we're animating */
var t = svg.transition()
.delay(750)
.duration(6000)
.ease('linear')
.each('end', function() {
d3.select('line.guide')
.transition()
.style('opacity', 0)
.remove()
});
t.select('rect.curtain')
.attr('width', 0);
t.select('line.guide')
.attr('transform', 'translate(' + width + ', 0)')
d3.select("#show_guideline").on("change", function(e) {
guideline.attr('stroke-width', this.checked ? 1 : 0);
curtain.attr("opacity", this.checked ? 0.75 : 1);
})
});
};
here is a snippet of my data:
any help owuld be immensely appreciated.

Morph areas into bars with D3?

I'm able to generate the following graph using D3 areas:
I want to create the following animation. When the webpage loads, you see the first figure. Then, each of the areas morphs into a bar. Finally, I would like to allow users to toggle between the two figures by clicking "B" or "D".
I was able to add the buttons and the corresponding bars to my figure, but I'm having troubles figuring out how to do the animation. This is the code that I have right now:
HTMLWidgets.widget({
name: 'IMposterior',
type: 'output',
factory: function(el, width, height) {
// TODO: define shared variables for this instance
return {
renderValue: function(opts) {
console.log("threshold: ", opts.threshold);
console.log("bars: ", opts.bars);
var margin = {left:50,right:50,top:40,bottom:125};
xMax = d3.max(opts.data, function(d) { return d.x ; });
yMax = d3.max(opts.data, function(d) { return d.y ; });
xMin = d3.min(opts.data, function(d) { return d.x ; });
yMin = d3.min(opts.data, function(d) { return d.y ; });
var y = d3.scaleLinear()
.domain([0,yMax])
.range([height-margin.bottom,0]);
var x = d3.scaleLinear()
.domain([xMin,xMax])
.range([0,width]);
var yAxis = d3.axisLeft(y);
var xAxis = d3.axisBottom(x);
var area = d3.area()
.x(function(d){ return x(d.x) ;})
.y0(height-margin.bottom)
.y1(function(d){ return y(d.y); });
var svg = d3.select(el).append('svg').attr("height","100%").attr("width","100%");
var chartGroup = svg.append("g").attr("transform","translate("+margin.left+","+margin.top+")");
chartGroup.append("path")
.attr("d", area(opts.data.filter(function(d){ return d.x< -opts.MME ;})))
.style("fill", opts.colors[0]);
if(opts.MME !==0){
chartGroup.append("path")
.attr("d", area(opts.data.filter(function(d){ return (d.x < opts.MME & d.x > -opts.MME) ;})))
.style("fill", opts.colors[1]);
}
chartGroup.append("path")
.attr("d", area(opts.data.filter(function(d){ return d.x > opts.MME ;})))
.style("fill", opts.colors[2]);
chartGroup.append("g")
.attr("class","axis x")
.attr("transform","translate(0,"+(height-margin.bottom)+")")
.call(xAxis);
var tooltip = d3.tip()
.attr('class', 'd3-tip chart-data-tip')
.offset([30, 0])
.direction('s')
.html(function(d, i) {
return "<strong>" + d + "</strong> <span style='color:" + "white" + "'>"+ "</span>";
});
svg.call(tooltip);
chartGroup.selectAll("path").data(opts.text).on('mouseover', tooltip.show).on('mouseout', tooltip.hide);
// Bars
var yBar = d3.scaleLinear()
.domain([0,1])
.range([height-margin.bottom,0]);
var xBar = d3.scaleBand()
.domain(opts.bars.map(function(d) { return d.x; }))
.rangeRound([0, width]).padding(0.1);
var yAxisBar = d3.axisLeft(yBar);
var xAxisBar = d3.axisBottom(xBar);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
g.append("g")
.attr("class", "axis axis--x")
.attr("transform","translate(0,"+(height-margin.bottom)+")")
.call(d3.axisBottom(xBar));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(yBar).ticks(10, "%"))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Probability");
g.selectAll(".bar")
.data(opts.bars)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return xBar(d.x); })
.attr("y", function(d) { return yBar(d.y); })
.attr("width", xBar.bandwidth())
.style("fill", function(d) { return d.color; })
.attr("height", function(d) { return height - margin.bottom - yBar(d.y); });
// Add buttons
//container for all buttons
var allButtons= svg.append("g")
.attr("id","allButtons");
//fontawesome button labels
var labels= ["B", "D"];
//colors for different button states
var defaultColor= "#E0E0E0";
var hoverColor= "#808080";
var pressedColor= "#000000";
//groups for each button (which will hold a rect and text)
var buttonGroups= allButtons.selectAll("g.button")
.data(labels)
.enter()
.append("g")
.attr("class","button")
.style("cursor","pointer")
.on("click",function(d,i) {
updateButtonColors(d3.select(this), d3.select(this.parentNode));
d3.select("#numberToggle").text(i+1);
})
.on("mouseover", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill",hoverColor);
}
})
.on("mouseout", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill",defaultColor);
}
});
var bWidth= 40; //button width
var bHeight= 25; //button height
var bSpace= 10; //space between buttons
var x0= 20; //x offset
var y0= 10; //y offset
//adding a rect to each toggle button group
//rx and ry give the rect rounded corner
buttonGroups.append("rect")
.attr("class","buttonRect")
.attr("width",bWidth)
.attr("height",bHeight)
.attr("x",function(d,i) {return x0+(bWidth+bSpace)*i;})
.attr("y",y0)
.attr("rx",5) //rx and ry give the buttons rounded corners
.attr("ry",5)
.attr("fill",defaultColor);
//adding text to each toggle button group, centered
//within the toggle button rect
buttonGroups.append("text")
.attr("class","buttonText")
.attr("x",function(d,i) {
return x0 + (bWidth+bSpace)*i + bWidth/2;
})
.attr("y",y0+bHeight/2)
.attr("text-anchor","middle")
.attr("dominant-baseline","central")
.attr("fill","white")
.text(function(d) {return d;});
function updateButtonColors(button, parent) {
parent.selectAll("rect")
.attr("fill",defaultColor);
button.select("rect")
.attr("fill",pressedColor);
}
},
resize: function(width, height) {
// TODO: code to re-render the widget with a new size
}
};
}
});
And this is the figure that that code produces:
This does the trick:
HTMLWidgets.widget({
name: 'IMPosterior',
type: 'output',
factory: function(el, width, height) {
// TODO: define shared variables for this instance
return {
renderValue: function(opts) {
//transition
var transDuration = 1000;
var dataDiscrete = opts.bars.map((b, i) => {
b.y = Number(b.y);
b.desc = opts.text[i];
return b;
});
var distParams = {
min: d3.min(opts.data, d => d.x),
max: d3.max(opts.data, d => d.x)
};
distParams.cuts = [-opts.MME, opts.MME, distParams.max];
opts.data = opts.data.sort((a,b) => a.x - b.x);
var dataContinuousGroups = [];
distParams.cuts.forEach((c, i) => {
let data = opts.data.filter(d => {
if (i === 0) {
return d.x < c;
} else if (i === distParams.cuts.length - 1) {
return d.x > distParams.cuts[i - 1];
} else {
return d.x < c && d.x > distParams.cuts[i - 1];
}
});
data.unshift({x:data[0].x, y:0});
data.push({x:data[data.length - 1].x, y:0});
dataContinuousGroups.push({
color: opts.colors[i],
data: data
});
});
var margin = {
top: 50,
right: 20,
bottom: 80,
left: 70
},
dims = {
width: width - margin.left - margin.right,
height: height - margin.top - margin.bottom
};
var xContinuous = d3.scaleLinear()
.domain([distParams.min - 1, distParams.max + 1])
.range([0, dims.width]);
var xDiscrete = d3.scaleBand()
.domain(dataDiscrete.map(function(d) { return d.x; }))
.rangeRound([0, dims.width]).padding(0.1);
var y = d3.scaleLinear()
.domain([0, 1])
.range([dims.height, 0]);
var svg = d3.select(el).append("svg")
.attr("width", dims.width + margin.left + margin.right)
.attr("height", dims.height + margin.top + margin.bottom);
var g = svg
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var xAxis = d3.axisBottom()
.scale(xDiscrete);
var yAxis = d3.axisLeft()
.scale(y)
.ticks(10)
.tickFormat(d3.format(".0%"));
var yLabel = g.append("text")
.attr("class", "y-axis-label")
.attr("transform", "rotate(-90)")
.attr("y", -52)
.attr("x", -160)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style("font-size", 14 + "px")
.text("Probability");
g.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + dims.height + ")")
.call(xAxis);
g.append("g")
.attr("class", "y axis")
.call(yAxis);
var areas = g.selectAll(".area")
.data(dataDiscrete)
.enter().append("path")
.attr("class", "area")
.style("fill", function(d) { return d.color; })
.attr("d", function(d, i) {
let numPts = dataContinuousGroups[i].data.length - 2;
var path = d3.path()
path.moveTo(xDiscrete(d.x), y(0));
for (j=0; j<numPts; j++) {
path.lineTo(xDiscrete(d.x) + j*xDiscrete.bandwidth()/(numPts-1), y(d.y))
}
path.lineTo(xDiscrete(d.x) + xDiscrete.bandwidth(), y(0));
return path.toString();
});
var tooltip = d3.tip()
.attr('class', 'd3-tip chart-data-tip')
.offset([30, 0])
.direction('s')
.html(function(d, i) {
return "<span>" + dataDiscrete[i].desc + "</span>";
});
g.call(tooltip);
areas
.on('mouseover', tooltip.show)
.on('mouseout', tooltip.hide);
var thresholdLine = g.append("line")
.attr("stroke", "black")
.style("stroke-width", "1.5px")
.style("stroke-dasharray", "5,5")
.style("opacity", 1)
.attr("x1", 0)
.attr("y1", y(opts.threshold))
.attr("x2", dims.width)
.attr("y2", y(opts.threshold));
var updateXAxis = function(type, duration) {
if (type === "continuous") {
xAxis.scale(xContinuous);
} else {
xAxis.scale(xDiscrete);
}
d3.select(".x").transition().duration(duration).call(xAxis);
};
var updateYAxis = function(data, duration) {
var extent = d3.extent(data, function(d) {
return d.y;
});
extent[0] = 0;
extent[1] = extent[1] + 0.2*(extent[1] - extent[0]);
y.domain(extent);
d3.select(".y").transition().duration(duration).call(yAxis);
};
var toggle = function(to, duration) {
if (to === "distribution") {
updateYAxis(dataContinuousGroups[0].data.concat(dataContinuousGroups[1].data).concat(dataContinuousGroups[2].data), 0);
updateXAxis("continuous", duration);
areas
.data(dataContinuousGroups)
.transition()
.duration(duration)
.attr("d", function(d) {
var gen = d3.line()
.x(function(p) {
return xContinuous(p.x);
})
.y(function(p) {
return y(p.y);
});
return gen(d.data);
});
thresholdLine
.style("opacity", 0);
g.select(".y.axis")
.style("opacity", 0);
g.select(".y-axis-label")
.style("opacity", 0);
} else {
y.domain([0, 1]);
d3.select(".y").transition().duration(duration).call(yAxis);
updateXAxis("discrete", duration);
areas
.data(dataDiscrete)
.transition()
.duration(duration)
.attr("d", function(d, i) {
let numPts = dataContinuousGroups[i].data.length - 2;
var path = d3.path()
path.moveTo(xDiscrete(d.x), y(0));
for (j=0; j<numPts; j++) {
path.lineTo(xDiscrete(d.x) + j*xDiscrete.bandwidth()/(numPts-1), y(d.y))
}
path.lineTo(xDiscrete(d.x) + xDiscrete.bandwidth(), y(0));
return path.toString();
});
thresholdLine
.transition()
.duration(0)
.delay(duration)
.style("opacity", 1)
.attr("y1", y(opts.threshold))
.attr("y2", y(opts.threshold));
g.select(".y.axis")
.transition()
.duration(0)
.delay(duration)
.style("opacity", 1);
g.select(".y-axis-label")
.transition()
.duration(0)
.delay(duration)
.style("opacity", 1);
}
};
// Add buttons
//container for all buttons
var allButtons = svg.append("g")
.attr("id", "allButtons");
//fontawesome button labels
var labels = ["B", "D"];
//colors for different button states
var defaultColor = "#E0E0E0";
var hoverColor = "#808080";
var pressedColor = "#000000";
//groups for each button (which will hold a rect and text)
var buttonGroups = allButtons.selectAll("g.button")
.data(labels)
.enter()
.append("g")
.attr("class", "button")
.style("cursor", "pointer")
.on("click", function(d, i) {
updateButtonColors(d3.select(this), d3.select(this.parentNode));
d3.select("#numberToggle").text(i + 1);
if (d === "D") {
toggle("distribution", transDuration);
} else {
toggle("discrete", transDuration);
}
})
.on("mouseover", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill", hoverColor);
}
})
.on("mouseout", function() {
if (d3.select(this).select("rect").attr("fill") != pressedColor) {
d3.select(this)
.select("rect")
.attr("fill", defaultColor);
}
});
var bWidth = 40; //button width
var bHeight = 25; //button height
var bSpace = 10; //space between buttons
var x0 = 20; //x offset
var y0 = 10; //y offset
//adding a rect to each toggle button group
//rx and ry give the rect rounded corner
buttonGroups.append("rect")
.attr("class", "buttonRect")
.attr("width", bWidth)
.attr("height", bHeight)
.attr("x", function(d, i) {
return x0 + (bWidth + bSpace) * i;
})
.attr("y", y0)
.attr("rx", 5) //rx and ry give the buttons rounded corners
.attr("ry", 5)
.attr("fill", defaultColor);
//adding text to each toggle button group, centered
//within the toggle button rect
buttonGroups.append("text")
.attr("class", "buttonText")
.attr("x", function(d, i) {
return x0 + (bWidth + bSpace) * i + bWidth / 2;
})
.attr("y", y0 + bHeight / 2)
.attr("text-anchor", "middle")
.attr("dominant-baseline", "central")
.attr("fill", "white")
.text(function(d) {
return d;
});
function updateButtonColors(button, parent) {
parent.selectAll("rect")
.attr("fill", defaultColor);
button.select("rect")
.attr("fill", pressedColor);
}
toggle("distribution", 0);
setTimeout(() => {
toggle("discrete", transDuration);
}, 1000);
},
resize: function(width, height) {
// TODO: code to re-render the widget with a new size
}
};
}
});

Plotting normal density function with d3 js

I'm trying to plot this continuous function with D3 js version 4 but i'm having many problems with arrays. this is my javascript code:
var x = d3.range(-4., 4.1, 0.1)
var fnorm = x => (1. / Math.sqrt(2 * Math.PI)) * Math.exp(-0.5 * Math.pow(x, 2))
var y = new Array()
for (var i = 0 ; i < x.length ; i++) {
y[i] = fnorm(x[i])
}
var dataset = []
for (var j = 0; j < x.length; j++) {
dataset[j] = []
dataset[j][0] = x[j]
dataset[j][1] = y[j]
}
console.log(dataset[0])
console.log(dataset[1])
var w = 500
var h = 500
var padding = 50
var xScale = d3.scaleLinear()
.domain([d3.min(x, function(d) { return d }), d3.max(x, function(d) { return d })])
.range([padding, w - padding * 2])
var yScale = d3.scaleLinear()
.domain([0, 0.4])
.range([h - padding, padding])
function mycanvas() {
var svg = d3.select('body')
.append('svg')
.attr('width', w)
.attr('height', h)
svg.append('rect')
.attr('width', '100%')
.attr('height', '100%')
.attr('fill', 'blue')
// Define the axis
var xAxis = d3.axisBottom().scale(xScale).ticks(9)
var yAxis = d3.axisLeft().scale(yScale).ticks(9)
// Create the axis
svg.append('g')
.attr('class', 'axis')
.attr('transform', 'translate(0,' + (h - padding) + ')')
.call(xAxis)
svg.append('g')
.attr('class', 'axis')
.attr('transform', 'translate(' + padding + ',0)')
.call(yAxis)
svg.selectAll('line')
.data(dataset)
.enter()
.append('line')
.attr('x1', function(d) {
return xScale(d[0])
})
.attr('y1', function(d) {
return yScale(d[1])
})
.attr('x2', function(d) {
return xScale(d[1])
})
.attr('y2', function(d) {
return yScale(d[0])
})
.attr('stroke', 'white')
}
function main() {
mycanvas()
}
window.onload = main
<script src="https://d3js.org/d3.v4.min.js"></script>
The main problem is when i try to plot with svg line i don't know how to fix the right way to call and apply dataset array with x1,y1,x2,y2
You could use d3.line to produce a path from dataset:
var line = d3.line()
.x(function(d) { return xScale(d[0]);})
.y(function(d) { return yScale(d[1]);});
svg.append("path")
.attr("d", line(dataset))
.attr("stroke", "white")
.attr("fill", "none");
Demo: https://jsfiddle.net/LukaszWiktor/kkxe5sbc/

D3js zoom/drag not working any more in my code (+code sample)

Code
In this file http://tc51.net/w/at/stackoverflow.com/20150604.1/20150604.1.zip
You will find all .htm, .js, .css, .csv files of:
The example I started with
My current work in progess.
The problem
Since I did some refactoring required for further developments, the chart drag/zoom feature is not working anymore. No apparent JavaScript error in debugger, and it seems to have to do with 3Djs inner zoom functions so I have no clue what I did wrong. Can you help me find out? Thank you.
(I tried to create two JSFiddles as well but they don't work at all, I have no idea why: Start example:
https://jsfiddle.net/TTTT/erndok36/2 Current work in progress: https://jsfiddle.net/TTTT/mfudwy0q
)
And here is some code:
//Start example: http://mbostock.github.io/d3/talk/20111018/area-gradient.html
function parseDate(unix_timestamp){return new Date(unix_timestamp*1000);}
var svg, m, w, h, x, y, xAxis, yAxis, area, line, gradient, margin, varData,
//parseDate = d3.time.format('%Y-%m-%d').parse,
format = d3.time.format('%Y')
function CreateSvg()
{
margin = {top: 79, right: 80, bottom: 160, left: 79};
//m = [79, 80, 160, 79];
w = 1280 - margin.right - margin.left;
h = 800 - margin.top - margin.bottom;
//Scales. Note the inverted domain for the y-scale: bigger is up!
x = d3.time.scale().range([0, w]);
y = d3.scale.linear().range([h, 0]);
xAxis = d3.svg.axis().scale(x).orient('bottom').tickPadding(6).tickFormat(d3.time.format('%Y/%m/%d %H:%M:%S')).ticks(30); //.tickSize(-h, 0)
yAxis = d3.svg.axis().scale(y).orient('left').tickSize(w).tickPadding(6);
area = d3.svg.area()
.interpolate('step-after')
.x(function(d) { return x(d.date); })
.y0(y(0))
.y1(function(d) { return y(d.value); });
line = d3.svg.line()
.interpolate('step-after')
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.value); });
svg = d3.select('#ChartContainer').append('svg:svg')
.attr('width', w + margin.right + margin.left)
.attr('height', h + margin.top + margin.bottom)
.append('svg:g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
gradient = svg.append('svg:defs').append('svg:linearGradient')
.attr('id', 'gradient')
.attr('x2', '0%')
.attr('y2', '100%');
gradient.append('svg:stop')
.attr('offset', '40%')
.attr('stop-color', '#f00')
.attr('stop-opacity', .5);
gradient.append('svg:stop')
.attr('offset', '100%')
.attr('stop-color', '#0f0')
.attr('stop-opacity', 1);
svg.append('svg:clipPath')
.attr('id', 'clip')
.append('svg:rect')
.attr('x', x(0))
.attr('y', y(1))
.attr('width', x(1) - x(0))
.attr('height', y(0) - y(1));
svg.append('svg:g')
.attr('class', 'y axis')
.attr('transform', 'translate(' + w + ',0)');
svg.append('svg:path')
.attr('class', 'area')
.attr('clip-path', 'url(#clip)')
.style('fill', 'url(#gradient)');
svg.append('svg:g')
.attr('class', 'x axis')
.attr('transform', 'translate(0,' + h + ')');
svg.append('svg:path')
.attr('class', 'line')
.attr('clip-path', 'url(#clip)');
svg.append('svg:rect')
.attr('class', 'pane')
.attr('width', w)
.attr('height', h)
.call(d3.behavior.zoom().on('zoom', zoom));
svg.append('text')
.attr('transform', 'rotate(-90)')
.attr('y', 0-margin.left)
.attr('x', 0-(h/2))
.attr('dy', '1em')
.style('text-anchor', 'middle')
.text('Noise (dB)');
svg.append('text')
.attr('y', w/2)
.attr('x', h)
.attr('dx', '1em')
.style('text-anchor', 'middle')
.text('Time');
}
function CreateData()
{
//.csv() function is async!
d3.csv('data-noise-example.csv', function(data)
{
data.forEach(function(d) {
d.date = parseDate(d.date);
d.value = +d.value;
});
//Adds two random data. ''Getting started experimentation code.'
//data.reverse();
data.push({date:parseDate(1433160989), value:Math.random() * 180});
data.push({date:parseDate(1433160990), value:Math.random() * 180});
data.push({date:parseDate(1433160991), value:179});
data.push({date:parseDate(1433160992), value:1});
//data.reverse();
varData = data;
ReDraw(varData);
});
}
function ReDrawTest()
{
varData.push({date:parseDate(1433160993), value:Math.random() * 180});
varData.push({date:parseDate(1433160994), value:Math.random() * 180});
ReDraw(varData);
}
function FirstDraw()
{
CreateData();
//ReDraw(varData);
}
function ReDraw(data)
{
y.domain([0, 180]);
x.domain([parseDate(1433160660), parseDate(1433160780)]);
//Bind the data to our path elements
svg.select('path.area').data([data]);
svg.select('path.line').data([data]);
var t = svg.select('g.x.axis').call(xAxis).selectAll('text')
.style('text-anchor', 'end')
.attr('dx', '-.8em')
.attr('dy', '.15em');
t.attr('transform', 'translate(-2,0)').attr('transform', 'rotate(-90)');
svg.select('g.y.axis').call(yAxis);
svg.select('path.area').attr('d', area);
svg.select('path.line').attr('d', line); //.on('click', clickPath).on('mouseover', onMouseOverPath);
//d3.select('#footer span').text('U.S. Commercial Flights, ' + x.domain().map(format).join('-'));
}
/*function clickPath(e){
console.log('onclickPath', this);
//console.log('onclickPath', this.attr("d"));
var coordinates = d3.mouse(this);
console.log(coordinates[0],coordinates[1]);
}
function findData(x,y)
{
var relY = Math.abs(height-y)/height;
var valY = relY*(chartMaxY-chartMinY);
return [valY,''];
}
function onMouseOverPath(e){
var coordinates = d3.mouse(this);
var x = coordinates[0];
var y = coordinates[1];
var coordValue = 'Coord.: x:' + x + ',y:' + y;
$('#coordValue').text(coordValue);
//Probably not the cleanest way, but that way gives result ...
//console.log(svg.select('title'));
//console.log(coordinates[0] + ',' +coordinates[1]);
var retrievedData = findData(x,y);
var noiseValue = 'Noise: '+ retrievedData[0]+','+retrievedData[1];
$('#noiseValue').text(noiseValue);
svg.append('svg:title').text(noiseValue + "\r\n" + coordValue);
svg.select('title').text(noiseValue + "\r\n" + coordValue);
}
function onMouseOutPath(){alert('mouseOutPath');}
function click() {alert('onclick');}
function onMouseOver(){alert('mouseOver');}
function onMouseOut(){alert('mouseOut');}*/
function zoom() {
d3.event.transform(x); //TODO d3.behavior.zoom should support extents
ReDraw(varData);
}
$(document).ready(function() {
CreateSvg();
FirstDraw();
});
Solution found:
Moving
y.domain([0, 180]);
x.domain([parseDate(1433160660), parseDate(1433160780)]);
to
function FirstDraw(){...}
(I thought I had tested it already ...)

Display Pie chart, Grouped and Stacked bar chart in one page

I want to display two charts in one page.The Pie chart gets displayed but the Grouped and Stacked bar chart is not displaying . I tried to change the Id name in but no luck :( . Will appreciate if anyone helps me with the code correction .
/* Display Matrix Chart ,Pie chart, Grouped and Stacked bar chart in one page */
<apex:page showHeader="false">
<apex:includeScript value="{!URLFOR($Resource.jquery1)}"/>
<apex:includeScript value="{!URLFOR($Resource.D3)}"/>
<apex:includeScript value="{!URLFOR($Resource.nvD3)}"/>
<div id="body" height="50%" width="100px" ></div> // Id for Pie chart
<div id="body1" height="30%" width="90px"></div> // Id for Stacked and Grouped bar chart
<script>
// Matrix Chart starts here
var drawChart = function(divId,matrixReportId) {
$.ajax('/services/data/v29.0/analytics/reports/'+matrixReportId,
{
beforeSend: function(xhr) {
xhr.setRequestHeader('Authorization', 'Bearer {!$Api.Session_ID}');
},
success: function(response) {
console.log(response);
var chart = nv.models.multiBarChart();
var chartData = [];
document.getElementById(divId).innerHTML = '';
$.each(response.groupingsDown.groupings, function(di, de) {
var values = [];
chartData.push({"key":de.label, "values": values});
$.each(response.groupingsAcross.groupings, function(ai, ae) {
values.push({"x": ae.label, "y": response.factMap[de.key+"!"+ae.key].aggregates[0].value});
});
});
d3.select('#'+divId).datum(chartData).transition().duration(100).call(chart);
window.setTimeout(function(){
drawChart(divId,matrixReportId);
}, 5000);
}
}
);
};
$(document).ready(function(){
drawChart('chart','00O90000005SSHv');
});
// Pie Chart Starts here
var width =250 ,
height = 450,
radius = Math.min(width, height) / 2;
var data = [{"age":"<5","population":2704659},{"age":"14-17","population":2159981},
{"age":"14-17","population":2159981},{"age":"18-24","population":3853788},
{"age":"25-44","population":14106543},{"age":"45-64","population":8819342},
{"age":">65","population":612463}];
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var arc = d3.svg.arc().outerRadius(radius - 10).innerRadius(0);
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return d.population; });
var svg = d3.select("#body").append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var g = svg.selectAll(".arc")
.data(pie(data))
.enter().append("g")
.attr("class", "arc");
g.append("path")
.attr("d", arc)
.style("fill", function(d) { return color(d.data.age); });
g.append("text")
.attr("transform", function(d) { return "translate(" + arc.centroid(d) + ")"; })
.attr("dy", ".35em")
.style("text-anchor", "middle")
.text(function(d) { return d.data.age; });
// Grouped and Stacked Bar Chart starts here
var n = 2, // number of layers
m = 10, // number of samples per layer
stack = d3.layout.stack(),
layers = stack(d3.range(n).map(function() { return bumpLayer(m, .1); })),
yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); }),
yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var margin = {top: 40, right: 10, bottom: 20, left: 10},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.domain(d3.range(m))
.rangeRoundBands([0, width], .08);
var y = d3.scale.linear()
.domain([0, yStackMax])
.range([height, 0]);
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var xAxis = d3.svg.axis()
.scale(x)
.tickSize(0)
.tickPadding(6)
.orient("bottom");
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 layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
var rect = layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("x", function(d) { return x(d.x); })
.attr("y", height)
.attr("width", x.rangeBand())
.attr("height", 0);
rect.transition()
.delay(function(d, i) { return i * 10; })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
d3.selectAll("input").on("change", change);
var timeout = setTimeout(function() {
d3.select("input[value=\"grouped\"]").property("checked", true).each(change);
}, 2000);
function change() {
clearTimeout(timeout);
if (this.value === "grouped") transitionGrouped();
else transitionStacked();
}
function transitionGrouped() {
y.domain([0, yGroupMax]);
rect.transition()
.duration(500)
.delay(function(d, i) { return i * 10; })
.attr("x", function(d, i, j) { return x(d.x) + x.rangeBand() / n * j; })
.attr("width", x.rangeBand() / n)
.transition()
.attr("y", function(d) { return y(d.y); })
.attr("height", function(d) { return height - y(d.y); });
}
function transitionStacked() {
y.domain([0, yStackMax]);
rect.transition()
.duration(500)
.delay(function(d, i) { return i * 10; })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); })
.transition()
.attr("x", function(d) { return x(d.x); })
.attr("width", x.rangeBand());
}
// Inspired by Lee Byron's test data generator.
function bumpLayer(n, o) {
function bump(a) {
var x = 1/(.1 + Math.random()),
y = 2*Math.random()-.5,
z = 10/(.1 + Math.random());
for (var i = 0; i < n; i++) {
var w = (i/n- y) * z;
a[i] += x * Math.exp(-w * w);
}
}
var a=[],i;
for (i = 0; i < n; ++i) a[i] = o + o * Math.random();
for (i = 0; i < 5; ++i) bump(a);
return a.map(function(d, i) { return {x: i, y: Math.max(0, d)}; });
}
</script>
<svg id="chart" height="50%" width="500px" ></svg> // Id for Matrix chart
</apex:page>
Thanks in advance
first, as we discussed here (d3 Donut chart does not render), you should position your
<div id="body1" height="30%" width="90px"></div>
above the script.
second, you are missing the # in your second svg-declaration to correctly select the div by its id, it has to be
var svg = d3.select("#body1").append("svg")
you could also think about naming the second svg differently (eg svg2) so you don't override your first svg-variable (in case you want to do something with it later).

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