vertical stacked bar chart using D3.js from Json - javascript

i want a vertical stacked bar chart with x axis and y axis labels and tool tip showing values and legends. please show me how to reduce the size of the graph also....
Now bar stacked bar chart is showing with very big size But no x and y axis... amd tool tip and legends is also not coming...
var w = 700,
h = 500;
var margin = {top: 25, right: 75, bottom: 85, left: 85};
// create canvas
var svg = d3.select("#bar-chart").append("svg:svg")
.attr("class", "chart")
.attr("width", w)
.attr("height", h )
.append("svg:g")
.attr("transform", "translate(10,470)");
x = d3.scale.ordinal().rangeRoundBands([0, w-50]);
y = d3.scale.linear().range([0, h-50]);
z = d3.scale.ordinal().range(["yellow", "grey", "orange"]);
var colors = [["Cat 980", "#D0D0D0"],
["Kom500", "#4DAF4A"],
["Kom501", "#D0D0D0"],
["Kom502", "#D0D0D0"]];
console.log("RAW MATRIX---------------------------");
// 4 columns: ID,c1,c2,c3
var matrix = [
[ 1, 5871, 8916, 2868],
[ 2, 10048, 2060, 6171],
[ 3, 16145, 8090, 8045],
[ 4, 990, 940, 6907]
];
console.log(matrix);
console.log("REMAP---------------------------");
var remapped =["c1","c2","c3"].map(function(dat,i){
return matrix.map(function(d,ii){
return {x: ii, y: d[i+1] };
});
});
console.log(remapped);
console.log("LAYOUT---------------------------");
var stacked = d3.layout.stack()(remapped);
console.log(stacked);
var xScale = d3.scale.ordinal().domain(d3.range(stacked.length)).rangeRoundBands([0, w], 0.05);
// ternary operator to determine if global or local has a larger scale
var yScale = d3.scale.linear().domain([0, d3.max(remapped)]).range([h, 0]);
var xAxis = d3.svg.axis().scale(xScale).tickFormat(function(d) { return stacked[d].keyword; }).orient("bottom");
var yAxis = d3.svg.axis().scale(yScale).orient("left").ticks(5);
x.domain(stacked[0].map(function(d) { return d.x; }));
y.domain([0, d3.max(stacked[stacked.length - 1], function(d) { return d.y0 + d.y; })]);
// show the domains of the scales
console.log("x.domain(): " + x.domain())
console.log("y.domain(): " + y.domain())
console.log("------------------------------------------------------------------");
// Add a group for each column.
var valgroup = svg.selectAll("g.valgroup")
.data(stacked)
.enter().append("svg:g")
.attr("class", "valgroup")
.style("fill", function(d, i) { return z(i); })
.style("stroke", function(d, i) { return d3.rgb(z(i)).darker(); });
// xAxis
svg.append("g") // Add the X Axis
.attr("class", "x axis")
.attr("transform", "translate(0," + (h) + ")")
.call(xAxis)
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", function(d) {
return "rotate(-25)";
})
;
// yAxis
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(0 ,0)")
.call(yAxis)
;
// xAxis label
svg.append("text")
.attr("transform", "translate(" + (w / 2) + " ," + (h + margin.bottom - 5) +")")
.style("text-anchor", "middle")
.text("Keyword");
//yAxis label
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("Product");
// Add a rect for each date.
var rect = valgroup.selectAll("rect")
.data(function(d){return d;})
.enter().append("svg:rect")
.attr("x", function(d) { return x(d.x); })
.attr("y", function(d) { return -y(d.y0) - y(d.y); })
.attr("height", function(d) { return y(d.y); })
.attr("width", x.rangeBand());
// add legend
var legend = svg.append("g")
.attr("class", "legend")
.attr("transform", "translate(70,10)")
;
var legendRect = legend.selectAll('rect').data(colors);
legendRect.enter()
.append("rect")
.attr("x", w - 65)
.attr("y", 0) // use this to flip horizontal
.attr("width", 10)
.attr("height", 10)
.attr("y", function(d, i) {
return i * 20;
})
// .attr("x", function(d, i){return w - 65 - i * 70}) // use this to flip horizontal
.style("fill", function(d) {
return d[1];
});
var legendText = legend.selectAll('text').data(colors);
legendText.enter()
.append("text")
.attr("x", w - 52)
.attr("y", function(d, i) {
return i * 20 + 9;
})
.text(function(d) {
return d[0];
});
svg.select("g.x").call(xAxis);
svg.select("g.y").call(yAxis);

Related

Problems with grouped bar chart

I am new to d3 and trying to make a grouped bar chart following this and this websites.
The following is my code for the scales
x0 = d3.scaleTime()
.domain([
d3.min(dataset, function(d) {return d.date;}),
d3.max(dataset, function(d) {return d.date;})
])
.range([0,w]);
x1 = d3.scaleOrdinal()
.domain([dataset.WorldPopulation, dataset.InternetUser]);
// .rangeRound([0, x0.bandwidth()]);
y = d3.scaleLinear()
.domain([0, d3.max(dataset, function(d) {return d.WorldPopulation})])
.range([h,0]);
In the website above they use scaleOrdinal but I used scaleTime as x0. Therefore I'm not too sure if that works.
This is my code for the append(rect) for the bar chart
var date = svg.selectAll(".date")
.data(dataset)
.enter()
.append("g")
.attr("class", "g")
.attr("transform", function(d) {return "translate(" + x0(d.date) + ",0)";});
/* Add field1 bars */
date.selectAll(".bar.field1")
.data(d => [d])
.enter()
.append("rect")
.attr("class", "bar field1")
.style("fill","blue")
.attr("x", d => x0(d.WorldPopulation))
.attr("y", d => y(d.WorldPopulation))
.attr("width", x1.bandwidth())
.attr("height", d => {
return height - margin.top - margin.bottom - y(d.WorldPopulation)
});
/* Add field2 bars */
date.selectAll(".bar.field2")
.data(d => [d])
.enter()
.append("rect")
.attr("class", "bar field2")
.style("fill","red")
.attr("x", d => x0(d.InternetUser))
.attr("y", d => y(d.InternetUser))
.attr("width", x1.bandwidth())
.attr("height", d => {
return height - margin.top - margin.bottom - y(d.InternetUser)
});
And this is my csv file. Not too sure how to upload excel so I took a screenshot.
Any help provided will be appreciated. Feel free to request for any extra snippets of my code for clarification.
edit: After tweaking the code, no errors are shown but the svg is not produced either.
Using scaleBand for both x0 and x1, the following code works:
<script src="js/d3.v4.js"></script>
<script>
var margin = { top: 20, right: 20, bottom: 30, left: 40 },
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scaleBand()
.rangeRound([0, width]).padding(.1);
var x1 = d3.scaleBand();
var y = d3.scaleLinear()
.range([height, 0]);
var xAxis = d3.axisBottom()
.scale(x0)
.tickSize(0);
var yAxis = d3.axisLeft()
.scale(y);
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 + ")");
d3.csv("InternetUserStats.csv", function (error, data) {
var dates = data.map(function (d) { return d.date; });
var ymax = d3.max(data, function (d) { return Math.max(d.WorldPopulation, d.InternetUser); });
x0.domain(dates);
x1.domain(['WorldPopulations', 'InternetUsers']).rangeRound([0, x0.bandwidth()]);
y.domain([0, ymax]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
var date = svg.selectAll(".g")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function (d) { return "translate(" + x0(d.date) + ",0)"; });
/* Add field1 bars */
date/*.selectAll(".bar.field1")
.data(data)
.enter()*/
.append("rect")
.attr("class", "bar field1")
.style("fill", "blue")
.attr("x", function (d) { return x1('WorldPopulations'); })
.attr("y", function (d) { return y(+d.WorldPopulation); })
.attr("width", x0.bandwidth() / 2)
.attr("height", function (d) {
return height /*- margin.top - margin.bottom*/ - y(d.WorldPopulation)
});
/* Add field2 bars */
date/*.selectAll(".bar.field1")
.data(data)
.enter()*/
.append("rect")
.attr("class", "bar field2")
.style("fill", "red")
.attr("x", function (d) { return x1('InternetUsers'); })
.attr("y", function (d) { return y(d.InternetUser); })
.attr("width", x0.bandwidth() / 2)
.attr("height", function (d) {
return height /*- margin.top - margin.bottom*/ - y(d.InternetUser)
});
});
</script>
EDIT: the following code adds a legend that is based on your comment and your second link:
//This code goes after field2 bars are added.
/* Legend */
var legend = svg.selectAll(".legend")
.data(['WorldPopulations', 'InternetUsers']) //Bind an array of the legend entries
.enter().append("g")
.attr("class", "legend")
.attr("font-family", "sans-serif")
.attr("font-size", 13)
.style("text-anchor", "end")
.attr("transform", function (d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function (d) {
// Return "blue" for "WorldPopulations" and "red" for "InternetUsers":
return ((d === "WorldPopulations") ? "blue" : "red");
});
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
//.style("text-anchor", "end") //Already applied to .legend
.text(function (d) { return d; });

Grouping bar and line charts

I am trying to group bar chart and line chart in d3 js and I followed one Link for that purpose,
Here is what my Ajax is returning in response:
[
{
"date_created": "2017-12-27",
"jobs_fail": 19,
"jobs_resub": 31,
"jobs_success": 50
},
{
"date_created": "2017-12-29",
"jobs_fail": 18,
"jobs_resub": 25,
"jobs_success": 44
},
{
"date_created": "2017-12-28",
"jobs_fail": 8,
"jobs_resub": 24,
"jobs_success": 44
},
{
"date_created": "2018-01-02",
"jobs_fail": 2,
"jobs_resub": 0,
"jobs_success": 0
}
]
And what I am trying to show is displaying the jobs_fail and jobs_resub as a bar and jobs_sucess as line chart in same graphs with respect to date_created,
Here is my code for that purpose.
<script>
function get_data() {
console.log("create post is working!") // sanity check
return $.ajax({
url : "/group/guest/query/", // the endpoint
type : "GET", // http method
});
};
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var colorRange = d3.scale.category20();
var color = d3.scale.ordinal()
.range(colorRange.range());
var divTooltip = d3.select("body").append("div").attr("class", "toolTip");
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10, "");
var svg = d3.select("#chart").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 ajdata = get_data();
var k = [];
ajdata.success(function (data) {
var obj = jQuery.parseJSON(data);
alert(data);
var options = d3.keys(obj[0]).filter(function(key) { if (key != "date_created" & key != "jobs_success" ) { return key }}); // & key != "date_created"){return key} });
var line_option = d3.keys(obj[0]).filter(function(key) { if (key == "jobs_success" & key == "date_created"){return key} });
alert(options);
obj.forEach(function(d) {
d.valores = options.map(function(name) {return { name: name, value: +d[name]}; });});
x0.domain(obj.map(function(d) { return d.date_created; }));
x1.domain(options).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(obj, function(d) { return d3.max(d.valores, function(d) { return d.value; }); })]);
var line = d3.svg.line()
.x(function(d) { return x1(d.date_created); })
.y(function(d) { return y(d.jobs_success); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Number of jobs");
var bar = svg.selectAll(".bar")
.data(obj)
.enter().append("g")
.attr("class", "rect")
.attr("transform", function(d) { return "translate(" + x0(d.date_created) + ",0)"; });
bar.selectAll("rect")
.data(function(d) { return d.valores; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("value", function(d){return d.name;})
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
bar
.on("mousemove", function(d){
divTooltip.style("left", d3.event.pageX+10+"px");
divTooltip.style("top", d3.event.pageY-25+"px");
divTooltip.style("display", "inline-block");
var x = d3.event.pageX, y = d3.event.pageY
var elements = document.querySelectorAll(':hover');
l = elements.length
l = l-1
elementData = elements[l].__data__
divTooltip.html((d.date_created)+"<br>"+elementData.name+"<br>"+elementData.value);
});
bar
.on("mouseout", function(d){
divTooltip.style("display", "none");
});
var legend = svg.selectAll(".legend")
.data(options.slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
svg.append("path")
//.data(obj)
.attr("class", "line")
.attr("d", line(obj));
UPDATE
What problem I am facing is I am able to render bar but not the line chart on bars.
I am trying to debug but not able to do so.
Please let me know what might I am doing wrong here.
You have some minor problems and a big problem.
The minor problems are:
Your y scale should take into account the maximum value in your dataset:
y.domain([0, d3.max(obj, function(d) {
return d.jobs_success
})]);
Your line generator should use x0. Besides that, you'll have to move the line by half rangeBand:
.x(function(d) {
return x0(d.date_created) + x0.rangeBand() / 2;
})
By default, a <path> has a black fill. Change it:
.style("fill", "none")
Those, however, are minor problems. The biggest problem lies here, in the data() method:
svg.append("path")
.data(obj)
.attr("class", "line")
.attr("d", line);
Let's see in detail what's happening here. You're passing the obj array to the data(). However, if you do this, each element of that array will be passed, individually, to the line generator.
So, supposing that this is your array...
["foo", "bar", "baz"]
...what you're passing to the line generator is just:
"foo".
You have some different solutions here. First, you can pass the array to the line generator directly, as you did in your edit. Second, you can wrap the array in an outer array:
svg.append("path")
.data([obj])
.attr("class", "line")
.attr("d", line);
That way, the whole obj array will be passed to the line generator.
Or, third, you can use datum:
svg.append("path")
.datum(obj)
.attr("class", "line")
.attr("d", line);
Here is your code with those changes and using datum to draw the path:
var obj = [{
"date_created": "2017-12-27",
"jobs_fail": 19,
"jobs_resub": 31,
"jobs_success": 50
}, {
"date_created": "2017-12-29",
"jobs_fail": 18,
"jobs_resub": 25,
"jobs_success": 44
}, {
"date_created": "2017-12-28",
"jobs_fail": 8,
"jobs_resub": 24,
"jobs_success": 44
}, {
"date_created": "2018-01-02",
"jobs_fail": 2,
"jobs_resub": 0,
"jobs_success": 0
}];
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var colorRange = d3.scale.category20();
var color = d3.scale.ordinal()
.range(colorRange.range());
var divTooltip = d3.select("body").append("div").attr("class", "toolTip");
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10, "");
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 options = d3.keys(obj[0]).filter(function(key) {
if (key != "date_created" & key != "jobs_success") {
return key
}
}); // & key != "date_created"){return key} });
var line_option = d3.keys(obj[0]).filter(function(key) {
if (key == "jobs_success" & key == "date_created") {
return key
}
});
obj.forEach(function(d) {
d.valores = options.map(function(name) {
return {
name: name,
value: +d[name]
};
});
});
x0.domain(obj.map(function(d) {
return d.date_created;
}));
x1.domain(options).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(obj, function(d) {
return d.jobs_success
})]);
var line = d3.svg.line()
.x(function(d) {
return x0(d.date_created) + x0.rangeBand() / 2;
})
.y(function(d) {
return y(d.jobs_success);
});
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Number of jobs");
var bar = svg.selectAll(".bar")
.data(obj)
.enter().append("g")
.attr("class", "rect")
.attr("transform", function(d) {
return "translate(" + x0(d.date_created) + ",0)";
});
bar.selectAll("rect")
.data(function(d) {
return d.valores;
})
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) {
return x1(d.name);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("value", function(d) {
return d.name;
})
.attr("height", function(d) {
return height - y(d.value);
})
.style("fill", function(d) {
return color(d.name);
});
bar
.on("mousemove", function(d) {
divTooltip.style("left", d3.event.pageX + 10 + "px");
divTooltip.style("top", d3.event.pageY - 25 + "px");
divTooltip.style("display", "inline-block");
var x = d3.event.pageX,
y = d3.event.pageY
var elements = document.querySelectorAll(':hover');
l = elements.length
l = l - 1
elementData = elements[l].__data__
divTooltip.html((d.date_created) + "<br>" + elementData.name + "<br>" + elementData.value);
});
bar
.on("mouseout", function(d) {
divTooltip.style("display", "none");
});
var legend = svg.selectAll(".legend")
.data(options.slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) {
return d;
});
svg.append("path")
.datum(obj)
.attr("class", "line")
.attr("d", line)
.style("fill", "none")
.style("stroke", "red")
.style("stroke-width", 2);
.axis line,
.axis path {
fill: none;
stroke: black;
shape-rendering: crispEdges;
}
<script src="https://d3js.org/d3.v3.min.js"></script>
Ok a couple of things. Your line's x function should be relying on x0 not x1:
var line = d3.svg.line()
.x(function(d) { return x0(d.date_created); })
.y(function(d) { return y(d.jobs_success); });
And your path needs to be called like this:
svg.append("path")
.attr("class", "line")
.attr("d", line(obj));
That should get you most of the way there - you might want to tweak the maximum y-value, and shift the x co-ordinate of the line by x0.rangeBand()/2 as well to make it line up properly with the centre of the bars.

D3 V4: Zoom & drag multi-series line chart

I am drawing charts with d3 4.2.2 in my Angular2 project. I created a multi series line chart and added zoom and drag properties. Now the chart is zooming on mouse scroll event but it zoom only X-axis and Y-axis. And it can be dragged only X-axis & Y-axis but chart cannot be dragged. When I do zooming or dragging those events are applying only to the two axis es but not for the chart. Following is what I am doing with my code.
// set the dimensions and margins of the graph
var margin = {
top: 20,
right: 80,
bottom: 30,
left: 50
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var zoom = d3.zoom()
.scaleExtent([1, 5])
.translateExtent([[0, -100], [width + 90, height + 100]])
.on("zoom", zoomed);
var svg = d3.select(this.htmlElement).append("svg")
.attr("class", "line-graph")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.attr("pointer-events", "all")
.call(zoom);
var view = svg.append("rect")
.attr("class", "view")
.attr("x", 0.5)
.attr("y", 0.5)
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.style("fill", "#EEEEEE")
.style("stroke", "#000")
.style("stroke-width", "0px");
// parse the date / time
var parseDate = d3.timeParse("%Y-%m-%d");
// set the ranges
var x = d3.scaleTime().range([0, width]);
var y = d3.scaleLinear().range([height, 0]);
var z = d3.scaleOrdinal(d3.schemeCategory10);
// define the line
var line = d3.line()
.x( (d) => {
return x(d.date);
})
.y( (d) => {
return y(d.lookbookcount);
});
z.domain(d3.keys(data[0]).filter(function (key) {
return key !== "date";
}));
// format the data
data.forEach( (d)=> {
d.date = parseDate(d.date);
});
var lookBookData = z.domain().map(function (name) {
return {
name: name,
values: data.map( (d) => {
return {date: d.date, lookbookcount: d[name], name: name};
})
};
});
x.domain(d3.extent(data, (d) => {
return d.date;
}));
y.domain([
d3.min([0]),
d3.max(lookBookData, (c) => {
return d3.max(c.values,
(d) => {
return d.lookbookcount;
});
})
]);
z.domain(lookBookData.map( (c) => {
return c.name;
}));
var xAxis = d3.axisBottom(x)
.ticks(d3.timeDay.every(1))
.tickFormat(d3.timeFormat("%d/%m"));
var yAxis = d3.axisLeft(y)
.ticks(10);
// Add the X Axis
var gX = svg.append("g")
.style("font", "14px open-sans")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
var gY = svg.append("g")
.style("font", "14px open-sans")
.attr("class", "axis axis--x")
.call(yAxis)
.style("cursor", "ns-resize");
// Add Axis labels
svg.append("text")
.style("font", "14px open-sans")
.attr("text-anchor", "end")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.text("Sales / Searches");
svg.append("text")
.style("font", "14px open-sans")
.attr("text-anchor", "end")
.attr("dx", ".71em")
.attr("transform", "translate(" + width + "," + (height +
(margin.bottom)) + ")")
.text("Departure Date");
var chartdata = svg.selectAll(".chartdata")
.data(lookBookData)
.enter().append("g")
.attr("class", "chartdata");
chartdata.append("path")
.classed("line", true)
.attr("class", "line")
.attr("d", function (d) {
return line(d.values);
})
.style("fill", "none")
.style("stroke", function (d) {
return z(d.name);
})
.style("stroke-width", "2px");
chartdata.append("text")
.datum(function (d) {
return {
name: d.name, value: d.values[d.values.length - 1]
};
})
.attr("transform", function (d) {
return "translate(" +
x(d.value.date) + "," + y(d.value.lookbookcount) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "14px open-sans")
.text(function (d) {
return d.name;
});
// add the dots with tooltips
chartdata.selectAll(".circle")
.data(function (d) {
return d.values;
})
.enter().append("circle")
.attr("class", "circle")
.attr("r", 4)
.attr("cx", function (d) {
console.log(d);
return x(d.date);
})
.attr("cy", function (d) {
return y(d.lookbookcount);
})
.style("fill", function (d) { // Add the colours dynamically
return z(d.name);
});
function zoomed() {
view.attr("transform", d3.event.transform);
gX.call(xAxis.scale(d3.event.transform.rescaleX(x)));
}
function resetted() {
svg.transition()
.duration(750)
.call(zoom.transform, d3.zoomIdentity);
}
Any suggestions would be highly appreciated.
Thank you

how to left align ticks in d3 bar chart

i created a stacked bar graph.
on the y axis side i have ticks with varying lengths.
what i am trying to accomplish is to align the text in the tick to the left.
this is my example:http://jsfiddle.net/2khbceut/2/
html
<title>Diverging Stacked Bar Chart with D3.js</title>
<body>
<div id="figure" align="center" style="margin-bottom: 50px;"></div>
</body>
javascript
$(document).ready(getTopolegy());
function getTopolegy(){
var data = null;
var links = parseTopology(data);
createChart(links);
}
function parseTopology(data){
var links=[{1:5,2:5,3:10,N:20,link_name: "Link CHGIL21CRS-SFXCA21CRS"},
{1:5,2:5,3:10,N:20,link_name: "Link NYCNY21CRS-NYCNY22CRS"}];
return links;
}
function jsonNameToId(name){
switch (allocated_priority) {
case "allocated_priority":
return 1;
case "allocated_default":
return 2;
case "spare_capacity":
return 3;
case "total":
return "N";
default:
return 999;
}
}
function createChart(data){
var margin = {top: 50, right: 20, bottom: 10, left: 210},
width = 1000 - margin.left - margin.right,
height = 100 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.rangeRoundBands([0, height], .3);
var x = d3.scale.linear()
.rangeRound([0, width]);
var color = d3.scale.ordinal()
.range(["#cccccc", "#92c6db", "#086fad"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("top");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
var svg = d3.select("#figure").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("id", "d3-plot")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
color.domain(["Allocated Priority %", "Allocated Default %", "Spare Capacity %"]);
// d3.csv("js/raw_data.csv", function(error, data) {
data.forEach(function(d) {
d["Allocated Priority %"] = +d[1]*100/d.N;
d["Allocated Default %"] = +d[2]*100/d.N;
d["Spare Capacity %"] = +d[3]*100/d.N;
var x0 = 0;
var idx = 0;
d.boxes = color.domain().map(function(name) { return {name: name, x0: x0, x1: x0 += +d[name], N: +d.N, n: +d[idx += 1]}; });
});
var min_val = d3.min(data, function(d) {
return d.boxes["0"].x0;
});
var max_val = d3.max(data, function(d) {
return d.boxes["2"].x1;
});
x.domain([min_val, max_val]).nice();
y.domain(data.map(function(d) { return d.link_name; }));
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
var vakken = svg.selectAll(".Link")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(0," + y(d.link_name) + ")"; });
var bars = vakken.selectAll("rect")
.data(function(d) { return d.boxes; })
.enter().append("g").attr("class", "subbar");
bars.append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.x0); })
.attr("width", function(d) { return x(d.x1) - x(d.x0); })
.style("fill", function(d) { return color(d.name); });
bars.append("text")
.attr("x", function(d) { return x(d.x0); })
.attr("y", y.rangeBand()/2)
.attr("dy", "0.5em")
.attr("dx", "0.5em")
.style("font" ,"10px sans-serif")
.style("text-anchor", "begin")
.text(function(d) { return d.n !== 0 && (d.x1-d.x0)>3 ? d.n : "" });
vakken.insert("rect",":first-child")
.attr("height", y.rangeBand())
.attr("x", "1")
.attr("width", width)
.attr("fill-opacity", "0.5")
.style("fill", "#F5F5F5")
.attr("class", function(d,index) { return index%2==0 ? "even" : "uneven"; });
svg.append("g")
.attr("class", "y axis")
.append("line")
.attr("x1", x(0))
.attr("x2", x(0))
.attr("y2", height);
var startp = svg.append("g").attr("class", "legendbox").attr("id", "mylegendbox");
// this is not nice, we should calculate the bounding box and use that
var legend_tabs = [0, 150, 300];
var legend = startp.selectAll(".legend")
.data(color.domain().slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(" + legend_tabs[i] + ",-45)"; });
legend.append("rect")
.attr("x", 0)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", 22)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "begin")
.style("font" ,"10px sans-serif")
.text(function(d) { return d; });
d3.selectAll(".axis path")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
d3.selectAll(".axis line")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
var movesize = width/2 - startp.node().getBBox().width/2;
d3.selectAll(".legendbox").attr("transform", "translate(" + movesize + ",0)");
// });
}
as can be seen the current positioning of the tick text is to the right.
i tried the following idea:
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.selectAll("text")
.style("text-anchor", "start");
but it did not position the ticks in the desired alignment.
any ideas?
You can make the Y axis right-oriented, which will have the effect of positioning all the labels to the right of the axis, left-aligning them:
var yAxis = d3.svg.axis()
.scale(y)
.orient("right")// <- 1st step
At that point the labels would disappear, because they'll get covered up by the bars of the graph.
But then you can shift all those left-aligned labels some constant distance in the negative X direction, such that they're back on the left side of the Y axis, but still left-aligned the way you wanted. tickPadding() is a way to shift them:
var yAxis = d3.svg.axis()
.scale(y)
.orient("right")
.tickPadding(-180)
Here's your example, modified with the above: http://jsfiddle.net/2khbceut/3/
Maybe hardcoding the -180 is ok for you. If you need that amount to be dynamic, you can compute it using getBBox() on each text element of the axis and taking the maximum width to be the negative offset.
You can set the text-anchor to "start" and adjust the x position with translate, I added the code below in the chart model "boxPlotChart.js"
g.select('.nv-y.nv-axis').selectAll('.tick').selectAll('text')
.style('text-anchor','start')
.attr('transform', function(d,i,j) { return 'translate(-14,0)' });
g.select('.nv-y.nv-axis').selectAll('.nv-axisMaxMin').selectAll('text')
.style('text-anchor','start')
.attr('transform', function(d,i,j) { return 'translate(-16,0)' });

d3 stacked bar chart values not showing up on chart

So I have created a D3 Stacked Bar Chart, but I can't seem to figure out how to make the values of the bars show up on the chart. I can display Text "Sample" to each bar, but I can't figure out how to retrieve the data. I tried using this... .text(function(d) {return d.total; }) but with no luck.
jfiddle here.... http://jsfiddle.net/rasweat/D3ErQ/1/
<script src="http://d3js.org/d3.v3.js"></script>
<script type="text/javascript">
var margin = {top: 60, right: 20, bottom: 100, left: 100},
width = 600 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width-100], .1); //width-100 to make room for the legend.
var y = d3.scale.linear()
.rangeRound([height, 0]);
var color = d3.scale.ordinal()
//.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
.range(["#1f77b4", "#ff7f0e","d62728"]); //blue, orange, red
//color code for Progress Report
//.range(["#00FFFF","#00FF00","#990099","#FF0000","#FFFF00"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
var svg = d3.select("#area_progress_report").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 + ")");
// Get the data
//var data = [{"Commodity":"Base","num_complete_print":"3","num_incomplete_print":15},{"Commodity":"Blade","num_complete_print":"1","num_incomplete_print":53},{"Commodity":"DTE","num_complete_print":"1","num_incomplete_print":17},{"Commodity":"HUB","num_complete_print":"0","num_incomplete_print":"18"},{"Commodity":"MH","num_complete_print":"0","num_incomplete_print":"18"},{"Commodity":"Mid","num_complete_print":"0","num_incomplete_print":18},{"Commodity":"Top","num_complete_print":"0","num_incomplete_print":18}];
var data = <?php echo json_encode($dataset_progress001); ?>;
//alert(data);
//d3.csv("data.csv", function(error, data) {
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "Commodity"; }));
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.total = d.ages[d.ages.length - 1].y1;
});
//use this to sort the bars from largest to smallest
//data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { return d.Commodity; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text") //added this line through rotate to change orientation of x axis
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", "-1em")
.attr("transform", function(d) {
return "rotate(-90)"
});
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end");
// .text("Population");
//grid lines y.ticks controls the number of lines
svg.selectAll("line.horizontalGrid").data(y.ticks(10)).enter()
.append("line")
.attr(
{
"class":"horizontalGrid",
"x1" : 0,
"x2" : width-60,
"y1" : function(d){ return y(d);},
"y2" : function(d){ return y(d);},
"fill" : "none",
"shape-rendering" : "crispEdges",
"stroke" : "grey",
"stroke-width" : "1px"
});
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x(d.Commodity) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y1); })
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(color.domain().slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
//Added y label 10/28
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("y", -60)
.attr("x",-70)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text("Number Of Components");
//Add Title
svg.append("text")
.attr("x", (width/2) )//(width / 2))
.attr("y", -20) //0 - (margin.top / 2))
.attr("text-anchor", "middle")
.style("font-size", "20px")
.style("text-decoration", "underline")
.text("Inspection Progress Report");
state.selectAll("text")
.data(function(d) { return d.ages; })
.enter()
.append("text")
.attr("x", x.rangeBand()/2)
.attr("y", function(d, i) { return y(d.y1) + (y(d.y0) - y(d.y1))/2; })
.style("text-anchor", "middle")
//.text(function(d) {return d.total; })
.text("sample")
</script>
You have to change this line
.data(function(d) { return d.ages; })
to actually give data() your data. If you have an array with all the ages named ages, then it would be:
.data(ages)
The d argument in function(d) references nothing since data() is actually the method where you input your data.

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