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Hi All,
I'm quite new to Qlikview, the community and D3. I've been unsuccessfully trying to understand how to create a Sequence Sunburst (from the d3 library) and I haven't found any answer in the community.
Does anyone know how to do it? I understand the basics of how to create a d3 extension in qlikview, but I don't know how to replicate the above chart.
Cheers
Emanuele
Does anyone know how to change this code in order for it to able to load data from Qlikview and not from a Csv file?
var template_path = Qva.Remote + "?public=only&name=Extensions/Sunburst/";
function extension_Init()
{
// Use QlikView's method of loading other files needed by an extension. These files should be added to your extension .zip file (.qar)
if (typeof jQuery == 'undefined') {
Qva.LoadScript(template_path + 'jquery.js', extension_Done);
}
else {
extension_Done();
}
}
function extension_Done(){
//Add extension
Qva.AddExtension('Sunburst', function(){
//Load a CSS style sheet
Qva.LoadCSS(template_path + "sequences.css");
var _this = this;
// Dimensions of sunburst.
var width = 750;
var height = 600;
var radius = Math.min(width, height) / 2;
// Breadcrumb dimensions: width, height, spacing, width of tip/tail.
var b = {
w: 75, h: 30, s: 3, t: 10
};
// Mapping of step names to colors.
var colors = {
"STEP 1": "#5687d1",
"STEP 2": "#7b615c",
"STEP 3": "#de783b",
"STEP 4": "#6ab975",
"STEP 5": "#a173d1",
"END": "#bbbbbb"
};
// Total size of all segments; we set this later, after loading the data.
var totalSize = 0;
var vis = d3.select("#chart").append("svg:svg")
.attr("width", width)
.attr("height", height)
.append("svg:g")
.attr("id", "container")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var partition = d3.layout.partition()
.size([2 * Math.PI, radius * radius])
.value(function(d) { return d.size; });
var arc = d3.svg.arc()
.startAngle(function(d) { return d.x; })
.endAngle(function(d) { return d.x + d.dx; })
.innerRadius(function(d) { return Math.sqrt(d.y); })
.outerRadius(function(d) { return Math.sqrt(d.y + d.dy); });
// Use d3.text and d3.csv.parseRows so that we do not need to have a header
// row, and can receive the csv as an array of arrays.
var text = "
Contacted-Delivered-Open-Click-end,3600\n\
Contacted-Delivered-Open-end,25605\n\
Contacted-end,11513\n\
";
var csv = d3.csv.parseRows(text);
var json = buildHierarchy(csv);
createVisualization(json);
// Main function to draw and set up the visualization, once we have the data.
function createVisualization(json) {
// Basic setup of page elements.
initializeBreadcrumbTrail();
drawLegend();
d3.select("#togglelegend").on("click", toggleLegend);
// Bounding circle underneath the sunburst, to make it easier to detect
// when the mouse leaves the parent g.
vis.append("svg:circle")
.attr("r", radius)
.style("opacity", 0);
// For efficiency, filter nodes to keep only those large enough to see.
var nodes = partition.nodes(json)
.filter(function(d) {
return (d.dx > 0.005); // 0.005 radians = 0.29 degrees
});
var path = vis.data([json]).selectAll("path")
.data(nodes)
.enter().append("svg:path")
.attr("display", function(d) { return d.depth ? null : "none"; })
.attr("d", arc)
.attr("fill-rule", "evenodd")
.style("fill", function(d) { return colors[d.name]; })
.style("opacity", 1)
.on("mouseover", mouseover);
// Add the mouseleave handler to the bounding circle.
d3.select("#container").on("mouseleave", mouseleave);
// Get total size of the tree = value of root node from partition.
totalSize = path.node().__data__.value;
};
// Fade all but the current sequence, and show it in the breadcrumb trail.
function mouseover(d) {
var percentage = (100 * d.value / totalSize).toPrecision(3);
var percentageString = percentage + "%";
if (percentage < 0.1) {
percentageString = "< 0.1%";
}
d3.select("#percentage")
.text(percentageString);
d3.select("#explanation")
.style("visibility", "");
var sequenceArray = getAncestors(d);
updateBreadcrumbs(sequenceArray, percentageString);
// Fade all the segments.
d3.selectAll("path")
.style("opacity", 0.3);
// Then highlight only those that are an ancestor of the current segment.
vis.selectAll("path")
.filter(function(node) {
return (sequenceArray.indexOf(node) >= 0);
})
.style("opacity", 1);
}
// Restore everything to full opacity when moving off the visualization.
function mouseleave(d) {
// Hide the breadcrumb trail
d3.select("#trail")
.style("visibility", "hidden");
// Deactivate all segments during transition.
d3.selectAll("path").on("mouseover", null);
// Transition each segment to full opacity and then reactivate it.
d3.selectAll("path")
.transition()
.duration(1000)
.style("opacity", 1)
.each("end", function() {
d3.select(this).on("mouseover", mouseover);
});
d3.select("#explanation")
.style("visibility", "hidden");
}
// Given a node in a partition layout, return an array of all of its ancestor
// nodes, highest first, but excluding the root.
function getAncestors(node) {
var path = [];
var current = node;
while (current.parent) {
path.unshift(current);
current = current.parent;
}
return path;
}
function initializeBreadcrumbTrail() {
// Add the svg area.
var trail = d3.select("#sequence").append("svg:svg")
.attr("width", width)
.attr("height", 100)
.attr("id", "trail");
// Add the label at the end, for the percentage.
trail.append("svg:text")
.attr("id", "endlabel")
.style("fill", "#000");
}
// Generate a string that describes the points of a breadcrumb polygon.
function breadcrumbPoints(d, i) {
var points = [];
points.push("0,0");
points.push(b.w + ",0");
points.push(b.w + b.t + "," + (b.h / 2));
points.push(b.w + "," + b.h);
points.push("0," + b.h);
if (i > 0) { // Leftmost breadcrumb; don't include 6th vertex.
points.push(b.t + "," + (b.h / 2));
}
return points.join(" ");
}
// Update the breadcrumb trail to show the current sequence and percentage.
function updateBreadcrumbs(nodeArray, percentageString) {
// Data join; key function combines name and depth (= position in sequence).
var g = d3.select("#trail")
.selectAll("g")
.data(nodeArray, function(d) { return d.name + d.depth; });
// Add breadcrumb and label for entering nodes.
var entering = g.enter().append("svg:g");
entering.append("svg:polygon")
.attr("points", breadcrumbPoints)
.style("fill", function(d) { return colors[d.name]; });
entering.append("svg:text")
.attr("x", (b.w + b.t) / 2)
.attr("y", b.h / 2)
.attr("dy", "0.35em")
.attr("text-anchor", "middle")
.text(function(d) { return d.name; });
// Set position for entering and updating nodes.
g.attr("transform", function(d, i) {
return "translate(" + i * (b.w + b.s) + ", 0)";
});
// Remove exiting nodes.
g.exit().remove();
// Now move and update the percentage at the end.
d3.select("#trail").select("#endlabel")
.attr("x", (nodeArray.length + 0.5) * (b.w + b.s))
.attr("y", b.h / 2)
.attr("dy", "0.35em")
.attr("text-anchor", "middle")
.text(percentageString);
// Make the breadcrumb trail visible, if it's hidden.
d3.select("#trail")
.style("visibility", "");
}
function drawLegend() {
// Dimensions of legend item: width, height, spacing, radius of rounded rect.
var li = {
w: 50, h: 15, s: 3, r: 3
};
var legend = d3.select("#legend").append("svg:svg")
.attr("width", li.w)
.attr("height", d3.keys(colors).length * (li.h + li.s));
var g = legend.selectAll("g")
.data(d3.entries(colors))
.enter().append("svg:g")
.attr("transform", function(d, i) {
return "translate(0," + i * (li.h + li.s) + ")";
});
g.append("svg:rect")
.attr("rx", li.r)
.attr("ry", li.r)
.attr("width", li.w)
.attr("height", li.h)
.style("fill", function(d) { return d.value; });
g.append("svg:text")
.attr("x", li.w / 2)
.attr("y", li.h / 2)
.attr("dy", "0.35em")
.attr("text-anchor", "middle")
.text(function(d) { return d.key; });
}
function toggleLegend() {
var legend = d3.select("#legend");
if (legend.style("visibility") == "hidden") {
legend.style("visibility", "");
} else {
legend.style("visibility", "hidden");
}
}
// Take a 2-column CSV and transform it into a hierarchical structure suitable
// for a partition layout. The first column is a sequence of step names, from
// root to leaf, separated by hyphens. The second column is a count of how
// often that sequence occurred.
function buildHierarchy(csv) {
var root = {"name": "root", "children": []};
for (var i = 0; i < csv.length; i++) {
var sequence = csv[0];
var size = +csv[1];
if (isNaN(size)) { // e.g. if this is a header row
continue;
}
var parts = sequence.split("-");
var currentNode = root;
for (var j = 0; j < parts.length; j++) {
var children = currentNode["children"];
var nodeName = parts
var childNode;
if (j + 1 < parts.length) {
// Not yet at the end of the sequence; move down the tree.
var foundChild = false;
for (var k = 0; k < children.length; k++) {
if (children
childNode = children
foundChild = true;
break;
}
}
// If we don't already have a child node for this branch, create it.
if (!foundChild) {
childNode = {"name": nodeName, "children": []};
children.push(childNode);
}
currentNode = childNode;
} else {
// Reached the end of the sequence; create a leaf node.
childNode = {"name": nodeName, "size": size};
children.push(childNode);
}
}
}
return root;
};
Thanks
Hi Emanuele,
Did you find the answer for loading data from Qlikview instead of Csv file in d3?