In this blog , we will learn how to create the charts using d3(Data Driven Documents JS ) . First of all we have to download its library from https://d3js.org/ or we can use the cdn <script src=”https://d3js.org/d3.v4.min.js”></script> .
After including the library or using cdn , we can create the charts very easily . For creating the pie chart we can use the following code :
/** * Webkul Software. * * @category Webkul * @package chart * @author Webkul * @copyright Copyright (c) 2010-2016 Webkul Software Private Limited (https://webkul.com) * @license https://store.webkul.com/license.html */ function pie_chart(donut){ var w = 300, h = 400, r = 200, color = d3.scale.category10(); var vis = d3.select('#report_div') .append("svg:svg") .data([data]) .attr("width", '100%') .attr("height", h) .append("svg:g") .attr("transform", "translate(" + r + "," + r + ")") if (donut) { var arc = d3.svg.arc() .innerRadius(r/2) .outerRadius(r); }else{ var arc = d3.svg.arc() .outerRadius(r); } var pie = d3.layout.pie() .value(function(d) { return d.value; }); var arcs = vis.selectAll("g.slice") .data(pie) .enter() .append("svg:g") .attr("class", "slice") .on("mouseover", mouseOverArc_pie) .on("mousemove", mouseMoveArc) .on("mouseout", mouseOutArc) arcs.append("svg:path") .attr("fill", function(d, i) { return color(i); } ) .attr("d", arc); arcs.append("svg:text") .attr("transform", function(d) { d.outerRadius = r; d.innerRadius = r/2; return "translate(" + arc.centroid(d) + ")rotate(" + angle(d) + ")"; }) .attr("text-anchor", "middle") .attr("font-size", "14px") .text(function(d, i) { return data[i].label; }); }
Function Description :
d3.select(selector) : As the name implies , function is used to select the DOM element by using the selector like id , class or element .
d3.scale.category10() : The function defines a built-in color scheme in the d3 library . We can also use d3.scale.category20() , d3.scale.category20b() ,d3.scale.category20c()
d3.layout.pie() : The function is used to calculate the inner and outer angle for drawing the pie chart .
d3.svg.axis() : The function is used to draw the horizontal and vertical axis .
d3.tip() : The function is used to specify the tool tip for specific slice / bar in the chart .
The output will be something like this :
We can also create other charts like bar chart , bi-level chart , bullet chart , bubble chart etc . Here’s the code for the bar chart :
/** * Webkul Software. * * @category Webkul * @package chart * @author Webkul * @copyright Copyright (c) 2010-2016 Webkul Software Private Limited (https://webkul.com) * @license https://store.webkul.com/license.html */ function bar_chart(){ var margin = {top: 40, right: 20, bottom: 30, left: 65}, height = 400 - margin.top - margin.bottom; var color = d3.scale.category10(); var formatPercent = d3.format(",d"); var x = d3.scale.ordinal() .rangeRoundBands([0, width], .1); var y = d3.scale.linear() .range([height, 0]); var xAxis = d3.svg.axis() .scale(x) //.tickSize('20') .orient("bottom"); var yAxis = d3.svg.axis() .scale(y) .orient("left") .tickFormat(formatPercent); var tip = d3.tip() .attr('class', 'd3-tip') .offset([-10, 0]) .html(function(d) { return "<strong>Value:</strong> <span style='color:red'>$" + d.value + "</span>"; }) var svg = d3.select("#report_div").append("svg") .attr("width", width + margin.left + margin.right) .attr("height", "500px") .append("g") .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); svg.call(tip); data.sort(function(a, b){ return b.value-a.value; }); var max = 0 ; max = data[0].value; // X Axis Label x.domain(data.map(function(d) { return d.label; })); y.domain([0,max]); if (total>20) { svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .selectAll("text") .style("text-anchor", "end") .attr("dx", "0em") .attr("dy", "0.75em") .attr("font-size", "10px") .attr("transform", "rotate(-35)" ); } else { svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .selectAll("text") .style("text-anchor", "end") .attr("dx", "0em") .attr("dy", "0.75em") .attr("font-size", "14px") .attr("transform", "rotate(-35)" ); } svg.append("g") .attr("class", "y axis") .attr("font-size", "14px") .call(yAxis) .append("text") .attr("transform", "rotate(-90)") .attr("y", 6) .attr("dy", ".71em") .style("text-anchor", "end") .attr("font-size", "14px") svg.selectAll(".bar") .data(data) .enter().append("rect") //.attr("class", "bar") .attr("fill", function(d, i) { return color(i); } ) .attr("x", function(d) { return x(d.label); }) .attr("width", x.rangeBand()) .attr("y", function(d) { return y(d.value); }) .attr("height", function(d) { return height - y(d.value); }) .on('mouseover', tip.show) .on('mouseout', tip.hide) }
The bar chart will look like as follows :
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