how to convert scatter chart into line chart in d3 version 3 - d3.js

Question

I have implemented one scatter chart using d3.js. I want to convert this chart to line chart, but i am not able to do so. I have tried to follow ( http://embed.plnkr.co/wJDcZmkEzXaLVhuLZmcQ/ ) but it didn't helped me.
This is the code for scatter chart.
var data = [{"buildName":"otfa_R5-10_a1","build":"Build 1","value":"19628"},{"buildName":"otfa_R5-91_a1","build":"Build 2","value":"19628"},{"buildName":"otfa_R5-9_a1","build":"Build 3","value":"19628"}]
var yValues = [], responseData = [];
data.map(function(key) {
var test = [];
test[0] = key.build;
test[1] = key.value;
responseData.push(test);
yValues = key.value;
})
var margin = {
top: 20,
right: 15,
bottom: 60,
left: 60
},
width = 300 - margin.left - margin.right,
height = 200 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.domain(responseData.map(function(d) {
return d[0];
}))
.rangePoints([0, width], 0.5)
var y = d3.scale.linear()
.domain([5000,20000])
.range([height, 0]);
var chart = d3.select(divId)
.append('svg:svg')
.attr('width', width + margin.right + margin.left)
.attr('height', height + margin.top + margin.bottom)
.attr('class', 'chart')
var colors = d3.scale.linear()
.domain([5, 20])
.range(['#4577bc', '#4577bc'])
var main = chart.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
.attr('width', width)
.attr('height', height)
.attr('class', 'main')
// draw the x axis
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
main.append('g')
.attr('transform', 'translate(0,' + height + ')')
.attr('class', 'main axis date')
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate(-45)" );
// draw the y axis
var yAxis = d3.svg.axis()
.scale(y)
.orient('left');
main.append('g')
.attr('transform', 'translate(0,0)')
.attr('class', 'main axis date')
.call(yAxis);
var div = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
var g = main.append("svg:g");
g.selectAll("scatter-dots")
.data(responseData)
.enter().append("svg:circle")
.attr("cx", function(d, i) {
return x(d[0]);
})
.attr("cy", function(d) {
return y(d[1]);
})
.attr("r", 6)
.style('stroke', function(d, i) {
return colors(i);
})
.style('fill', function(d, i) {
return colors(i);
})
.on("mouseover", function(d) {
d3.select(this).attr("r", 10).style("fill", "#fff8ee");
div.transition()
.duration(200)
.style("opacity", 2.9);
div .html((d[1]))
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 18) + "px");
})
.on("mouseout", function(d) {
d3.select(this).attr("r", 5.5).style("fill", "#4577bc");
div.transition()
.duration(500)
.style("opacity", 0);
});
How we can add a line connecting these points ?
Please help me !!

Answer 1

To add a line to your existing chart, just add it using path generators.
Line generator:
var line = d3.svg.line()
.x(function (d) { return x(d[0]); })
.y(function (d) { return y(d[1]); });
Append the line to the svg:
g.append('path').classed('line', true)
.style( { fill: 'none', 'stroke': 'steelblue'} )
.attr('d', line(responseData));
Snippet with the above code included and a few CSS styles to make it look better:
var data = [{"buildName":"otfa_R5-10_a1","build":"Build 1","value":"19628"},{"buildName":"otfa_R5-91_a1","build":"Build 2","value":"10628"},{"buildName":"otfa_R5-9_a1","build":"Build 3","value":"17628"}]
var yValues = [], responseData = [];
data.map(function(key) {
var test = [];
test[0] = key.build;
test[1] = key.value;
responseData.push(test);
yValues = key.value;
})
var margin = {
top: 20,
right: 15,
bottom: 60,
left: 60
},
width = 300 - margin.left - margin.right,
height = 200 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.domain(responseData.map(function(d) {
return d[0];
}))
.rangePoints([0, width], 0.5)
var y = d3.scale.linear()
.domain([5000,20000])
.range([height, 0]);
var chart = d3.select('body')
.append('svg:svg')
.attr('width', width + margin.right + margin.left)
.attr('height', height + margin.top + margin.bottom)
.attr('class', 'chart')
var colors = d3.scale.linear()
.domain([5, 20])
.range(['#4577bc', '#4577bc'])
var main = chart.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')')
.attr('width', width)
.attr('height', height)
.attr('class', 'main')
// draw the x axis
var xAxis = d3.svg.axis()
.scale(x)
.orient('bottom');
main.append('g')
.attr('transform', 'translate(0,' + height + ')')
.attr('class', 'main axis date')
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate(-45)" );
// draw the y axis
var yAxis = d3.svg.axis()
.scale(y)
.orient('left');
main.append('g')
.attr('transform', 'translate(0,0)')
.attr('class', 'main axis date')
.call(yAxis);
var div = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
var g = main.append("svg:g");
g.selectAll("scatter-dots")
.data(responseData)
.enter().append("svg:circle")
.attr("cx", function(d, i) {
return x(d[0]);
})
.attr("cy", function(d) {
return y(d[1]);
})
.attr("r", 6)
.style('stroke', function(d, i) {
return colors(i);
})
.style('fill', function(d, i) {
return colors(i);
})
.on("mouseover", function(d) {
d3.select(this).attr("r", 10).style("fill", "#fff8ee");
div.transition()
.duration(200)
.style("opacity", 2.9);
div .html((d[1]))
.style("left", (d3.event.pageX+4) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
d3.select(this).attr("r", 5.5).style("fill", "#4577bc");
div.transition()
.duration(500)
.style("opacity", 0);
});
var line = d3.svg.line()
.x(function (d) { return x(d[0]); })
.y(function (d) { return y(d[1]); });
g.append('path').classed('line', true)
.style( { fill: 'none', 'stroke': 'steelblue'} )
.attr('d', line(responseData));
path.domain {
fill: none;
stroke: #000;
}
.axis text {
font-size: 12px;
}
div.tooltip {
position: absolute;
background: #FFF;
padding: 5px;
border: 1px solid #DDD;
pointer-events: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.0/d3.min.js"></script>