d3 nested grouped bar chart - javascript

First of all sorry if my English is difficult to understand, I'll try my best...
I am rather new to D3.js and I'm trying to create a D3 grouped bar chart using nested data. I have looked at some solutions shared here, but they only show one-level grouping. In my case, data will come from a csv file that has this data structure:
groups,categories,value 1,value 2,value 3
group 1,A,61.0158803,25.903359,13.08076071
group 1,B,71.27703826,21.0180133,7.70494844
group 1,C,82.70203982,13.52731445,3.770645737
group 2,A,58.85721523,28.25939061,12.88339417
group 2,B,71.39695487,20.66010982,7.942935308
group 2,C,82.22389321,13.68924542,4.08686137
The chart is intended to have two x axis, one for the groups (level 0) and one for the categories (level 1).Values 1 to 3 will display as grouped bars for each catergory, and the categories will be displayed within the corresponding group.
The structure of the chart should be:
value 1 | value 2 | value 3 | value 1 | value 2 | value 3 | value 1 | value 2 | value 3 |
| category A | category B | category C |
| group 1 |
and the same for group 2, placed contiguous.
The problem is with the code I am working on, I get the right axis but data corresponding two both groups are shown, one on top of the other, in each group area. I am not able to link the data on the categories to their corresponding group in orther to draw them where it corresponds.
Here is the code I've got so far:
var x0 = d3.scale.ordinal()
.rangeRoundBands([0,width], 0);
var x1 = d3.scale.ordinal()
.rangeRoundBands([0,width]);
var x2 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height,0]);
var color = d3.scale.category10();
var x0Axis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var x1Axis = d3.svg.axis()
.scale(x1)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var svg = d3.select(".chart")
.append("svg")
.attr("class", "svg")
.attr("viewBox", "" + margin* -1 + " " + margin* -1 + " " + (width + margin*2) + " " + (height + margin *2) + "")
.attr ("preserveAspectRatio", "xMidYMid")
.attr("width", "100%")
.attr("height", "100%")
d3.csv("../data/EQ01.csv", function(error, data){
if (error) throw error;
var seriesNames = d3.keys(data[0]).filter(function(key) { return key !== "categories" && key !== "groups";});
data.forEach(function(d) {
d.values = seriesNames.map(function(name) { return {
xValue: name,
yValue: +d[name]
};
});
});
nested = d3.nest()
.key(function(d) { return d.groups})
.key(function(d) { return d.categories})
.entries(data);
y.domain([0, d3.max(data, function(d) { return d3.max(d.values, function(d) { return d.yValue; }); })]);
x0.domain(nested.map(function(d) {return d.key;}));
x1.domain(data.map(function(d) { return d.categories; })).rangeRoundBands([0, x0.rangeBand() ], 0.1);
x2.domain(seriesNames).rangeRoundBands([0, x1.rangeBand()], 0);
svg.append("g")
.attr("class", "x0 axis")
.attr("transform", "translate(0," + (height+30) + ")")
.call(x0Axis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
var group = svg.selectAll(".group")
.data(nested)
.enter().append("g")
.attr("class", "group")
.attr("transform", function(d) { return "translate(" + x0(d.key) + ",0)"; });
group.append("g")
.attr("class", "x1 axis")
.attr("transform", "translate(0," + height + ")")
.call(x1Axis);
var category = group.selectAll(".category")
.data(data)
.enter().append("g")
.attr("class", "category")
.attr("transform", function(d) { return "translate(" + x1(d.categories) + ",0)"; });
category.selectAll("rect")
.data(function(d) { return d.values; })
.enter().append("rect")
.attr("width", x2.rangeBand())
.attr("x", function(d) { return x2(d.xValue); })
.attr("y", function(d) { return y(d.yValue); })
.attr("height", function(d) { return height - y(d.yValue); })
.style("fill", function(d){return color(d.xValue)})
Many thanks in advance for the help!

The issue is that you are not joining correctly your data with your elements.
We need to build different scales in order to obtain the correct rangeBand value.
var x_groups = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x_categories = d3.scale.ordinal();
var x_values = d3.scale.ordinal();
I created a nested data structure that will contain everything we need for our grouped bar chart approach.
var nested = d3.nest()
.key(function(d) {
return d.groups;
})
.key(function(d) {
return d.categories;
})
.rollup(function(leaves) {
return [{
key: 'v-a',
value: leaves[0]['value 1']
}, {
key: 'v-b',
value: leaves[0]['value 2']
}, {
key: 'v-c',
value: leaves[0]['value 3']
}];
})
.entries(data);
Next lets configure our scales with the information we just got.
x_groups.domain(nested.map(function(d) {
return d.key;
}));
//var categories = ['A', 'B', 'C'];
var categories = nested[0].values.map(function(d, i) {
return d.key;
});
x_categories.domain(categories).rangeRoundBands([0, x_groups.rangeBand()]);
//var values = ['value 1', 'value 2', 'value 3'];
var values = nested[0].values[0].values.map(function(d, i) {
return d.key;
});
x_values.domain(values).rangeRoundBands([0, x_categories.rangeBand()]);
Then we can finally start our data join. You can see that when we enter a new level of info we need to set the data function correctly.
var groups_g = svg.selectAll(".group")
.data(nested)
.enter().append("g")
.attr("class", function(d) {
return 'group group-' + d.key;
})
.attr("transform", function(d) {
return "translate(" + x_groups(d.key) + ",0)";
});
var categories_g = groups_g.selectAll(".category")
.data(function(d) {
return d.values;
})
.enter().append("g")
.attr("class", function(d) {
return 'category category-' + d.key;
})
.attr("transform", function(d) {
return "translate(" + x_categories(d.key) + ",0)";
});
var categories_labels = categories_g.selectAll('.category-label')
.data(function(d) {
return [d.key];
})
.enter().append("text")
.attr("class", function(d) {
return 'category-label category-label-' + d;
})
.attr("x", function(d) {
return x_categories.rangeBand() / 2;
})
.attr('y', function(d) {
return height + 25;
})
.attr('text-anchor', 'middle')
.text(function(d) {
return d;
})
var values_g = categories_g.selectAll(".value")
.data(function(d) {
return d.values;
})
.enter().append("g")
.attr("class", function(d) {
return 'value value-' + d.key;
})
.attr("transform", function(d) {
return "translate(" + x_values(d.key) + ",0)";
});
var values_labels = values_g.selectAll('.value-label')
.data(function(d) {
return [d.key];
})
.enter().append("text")
.attr("class", function(d) {
return 'value-label value-label-' + d;
})
.attr("x", function(d) {
return x_values.rangeBand() / 2;
})
.attr('y', function(d) {
return height + 10;
})
.attr('text-anchor', 'middle')
.text(function(d) {
return d;
})
var rects = values_g.selectAll('.rect')
.data(function(d) {
return [d];
})
.enter().append("rect")
.attr("class", "rect")
.attr("width", x_values.rangeBand())
.attr("x", function(d) {
return 0;
})
.attr("y", function(d) {
return y(d.value);
})
.attr("height", function(d) {
return height - y(d.value);
})
.style("fill", function(d) {
return color(d.key);
});
Working plnkr: https://plnkr.co/edit/qGZ1YuyFZnVtp04bqZki?p=preview

Related

d3 chart won't centre in UIkit framework

I have designed a chart using d3.js and have embedded it in a div within a UIkit framework, however I can't get it to centre within the div.
I have tried putting the svg in a container and adjusting the CSS by putting the svg in a flexbox, removing the margins, aligning it centre, but none of it works. I have tried this response, this one, this one and this one and none of them work. I'm sure it must be something simple - how can I get it to centre? Code below.
Chart
<div id="age_chart" class="uk-container uk-width-medium-1-2 uk-container-center uk-margin-top">
<script>
// chart based on this example: https://bl.ocks.org/63anp3ca/6bafeb64181d87750dbdba78f8678715
// var svg1 = d3.select("svg1"),
var margin = {top: 20, right: 20, bottom: 100, left: 20},
width1 = d3.select("#age_chart").node().getBoundingClientRect().width,
height1 = 400 - margin.top - margin.bottom;
// g = svg1.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// The scale spacing the groups:
var x0 = d3.scaleBand()
.rangeRound([0, width1])
.paddingInner(0.05);
// The scale for spacing each group's bar:
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height1, 0]);
var z = d3.scaleOrdinal()
.range(["#2c7fb8", "#7fcdbb"]);
var svg1 = d3.select('body').append("svg")
.attr("width", width1 + margin.left + margin.right)
.attr("height", height1 + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
d3.csv("data/age_distribution.csv", function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}).then(function(data) {
console.log(data);
var keys = data.columns.slice(1);
console.log('keys');
console.log(keys);
x0.domain(data.map(function(d) { return d.age; }));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { return d[key]; }); })]).nice();
svg1.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("class","bar")
.attr("transform", function(d) { return "translate(" + x0(d.age) + ",0)"; })
.selectAll("rect")
.data(function(d) { return keys.map(function(key) { return {key: key, value: d[key]}; }); })
.enter().append("rect")
.attr("x", function(d) { return x1(d.key); })
.attr("y", function(d) { return y(d.value); })
.attr("width", x1.bandwidth())
.attr("height", function(d) { return height1 - y(d.value); })
.attr("fill", function(d) { return z(d.key); });
svg1.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height1 + ")")
.call(d3.axisBottom(x0));
svg1.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-size", 11)
.attr("text-anchor", "start")
.text("Percentage of population")
.attr("font-family", "Archivo");
var legend1 = svg1.append("g")
.attr("font-family", "inherit")
.attr("font-size", 11)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend1.append("rect")
.attr("x", width1 * .9)
.attr("width", 15)
.attr("height", 15)
.attr("fill", z)
.attr("stroke", z)
.attr("stroke-width",2)
.on("click",function(d) { update(d) });
legend1.append("text")
.attr("x", width1 * .85)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
var filtered = [];
////
//// Update and transition on click:
////
function update(d) {
//
// Update the array to filter the chart by:
//
// add the clicked key if not included:
if (filtered.indexOf(d) == -1) {
filtered.push(d);
// if all bars are un-checked, reset:
if(filtered.length == keys.length) filtered = [];
}
// otherwise remove it:
else {
filtered.splice(filtered.indexOf(d), 1);
}
//
// Update the scales for each group's items:
//
var newKeys = [];
keys.forEach(function(d) {
if (filtered.indexOf(d) == -1 ) {
newKeys.push(d);
}
})
x1.domain(newKeys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { if (filtered.indexOf(key) == -1) return d[key]; }); })]).nice();
// update the y axis:
svg1.select(".y")
.transition()
.call(d3.axisLeft(y).ticks(null, "s"))
.duration(500);
//
// Filter out the bands that need to be hidden:
//
var bars = svg1.selectAll(".bar").selectAll("rect")
.data(function(d) { return keys.map(function(key) { return {key: key, value: d[key]}; }); })
bars.filter(function(d) {
return filtered.indexOf(d.key) > -1;
})
.transition()
.attr("x", function(d) {
return (+d3.select(this).attr("x")) + (+d3.select(this).attr("width"))/2;
})
.attr("height",0)
.attr("width",0)
.attr("y", function(d) { return height1; })
.duration(500);
//
// Adjust the remaining bars:
//
bars.filter(function(d) {
return filtered.indexOf(d.key) == -1;
})
.transition()
.attr("x", function(d) { return x1(d.key); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height1 - y(d.value); })
.attr("width", x1.bandwidth())
.attr("fill", function(d) { return z(d.key); })
.duration(500);
// update legend:
legend1.selectAll("rect")
.transition()
.attr("fill",function(d) {
if (filtered.length) {
if (filtered.indexOf(d) == -1) {
return z(d);
}
else {
return "white";
}
}
else {
return z(d);
}
})
.duration(100);
}
});
</script>
</div>
The problem is that the SVG isn't in your div.
The position of a script element doesn't decide where the SVG will get appended on the page. If you put it at the bottom of the page, you'll get the same results - you need to do so to wait for the DOM to be fully loaded.
d3.select('body').append("svg") will append the svg directly on the body element. To append it to the element you've created, since it has id age_chart, use:
d3.select('#age_chart').append("svg")

d3 filtering bar chart with legend toggling

I am trying to filter/update a bar chart with legend toggling. I am unsure how to set active states on the bars during initialization - then trying to deactivate - exclude the required datasets on toggle, but restore them when the active states come back.
http://jsfiddle.net/5ruhac83/5/
//legend toggling
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d, i) {
return colores_google(i);
})
.on("click", function(name) {
var active = false;
newState = active ? "active" : "inactive";
// Hide or show the elements
d3.select(this).attr("class", newState);
//set active state
console.log("name", name)
toggleBar(name)
});
//animating the bars - with a pruned data set
function toggleBar(name) {
var hiddenClassName = 'hidden',
bar = chartHolder.selectAll('.bars'),
currentBars = bar.selectAll('[value="' + name + '"]')
currentBars.classed(hiddenClassName, !currentBars.classed(hiddenClassName))
var barData = data.map(item => {
item.valores = item.valores.map(valor => {
return Object.assign({}, valor, {
value: bar.selectAll('[value="' + valor.name + '"]').classed(hiddenClassName) ?
0 : item[valor.name]
})
})
return item;
})
var barData = [{
label: "a",
"Current Period": 20
}, {
label: "b",
"Current Period": 15
}, {
label: "c",
"Current Period": 25
}, {
label: "d",
"Current Period": 5
}];
var options = getOptions(barData);
barData = refactorData(barData, options);
console.log("barData", barData)
bar
.data(barData)
var rect = bar.selectAll("rect")
.data(function(d) {
return d.valores;
})
rect
.transition()
.duration(1000)
.delay(100)
.attr("width", x0.rangeBand() / 2)
.attr("y", function(d) {
return y(d.value);
})
.attr("height", function(d) {
return height - y(d.value);
});
rect.exit().remove();
/*
var bar = bar.selectAll("rect")
bar.transition()
//.attr("id", function(d){ return 'tag'+d.state.replace(/\s|\(|\)|\'|\,+/g, '');})
.attr("x", function(d) { return x1(d.name); })
.attr("width", x0.rangeBand())
.attr("y", function(d) {
return 0;
//return y(d.value);
})
.attr("height", function(d) {
return 0;
//return height - y(d.value);
});
//bar.exit().remove();
*/
}
Here's a chart which resets the domain with new options based on the toggled legend:
JS Fiddle DEMO
function toggleBar(name, state) {
data.forEach(function(d) {
_.findWhere(d.valores, {name: name}).hidden = state;
});
var filteredOptions;
if(state) {
filteredOptions = options.filter(function(d) { return d !== name; });
} else {
filteredOptions = options;
}
x1.domain(filteredOptions).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.valores.filter(function(k) { return !k.hidden;}), function(d) {
return d.value;
});
})]);
Changes:
You don't need to reset the data on every toggle. I just added a hidden attribute to the "valores" and the while resetting the domain in the toggleBar function, filtered the data based on non-hidden options and set the domain accordingly.
I'd recommend to get used to d3's "enter, update and exit" methods. I hope the code helps you understand that as well.
drawBars() is a function that does that.
Changed the way the tooltip is rendered as well. Instead of using querySelector for hovered elements (that's definitely one way), you can just use the parent node's data using the datum() function.
Legends: I've added a stroke for every legend and to indicate whether the corresponding option is hidden or not, the fill-opacity is toggled on every click.
Used a separate color scale with an ordinal domain of options and range to be same as previous colors so that the colors are based on the names and not indices (as before)
Added simple transitions.
Used underscore.js in toggleBars() function. You could switch back to pure JS as well.
And to answer your question on active states, please check for toggling of the "clicked" classnames.
Please go through the code and let me know if you any part of it is unclear. I'll add some comments too.
:)
here is a solution for grouped bar chart legend toggling with animation.
//jsfiddle - http://jsfiddle.net/0ht35rpb/259/
var $this = this.$('.barChart');
var w = $this.data("width");
var h = $this.data("height");
//var configurations = $this.data("configurations");
var data = [{
"State": "a",
"AA": 100,
"BB": 200
}, {
"State": "b",
"AA": 454,
"BB": 344
},{
"State": "c",
"AA": 140,
"BB": 500
}, {
"State": "d",
"AA": 154,
"BB": 654
}];
var yLabel = "Count";
var svg = d3.select($this[0]).append("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = w - margin.left - margin.right,
height = h - margin.top - margin.bottom,
g = svg
.attr("width", w)
.attr("height", h)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// The scale spacing the groups:
var x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
// The scale for spacing each group's bar:
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#f7b363", "#448875", "#c12f39", "#2b2d39", "#f8dd2f", "#8bf41b"]);
var keys = d3.keys(data[0]).slice(1);
x0.domain(data.map(function(d) {
return d.State;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
g.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) {
return "translate(" + x0(d.State) + ",0)";
})
.selectAll("rect")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
})
.enter().append("rect")
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d, i) {
return z(d.key);
});
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "yaxis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text(yLabel);
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
legend.append("rect")
.attr("x", width - 17)
.attr("width", 15)
.attr("height", 15)
.attr("fill", z)
.attr("stroke", z)
.attr("stroke-width", 2)
.on("click", function(d) {
update(d)
});
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) {
return d;
});
var filtered = [];
////
//// Update and transition on click:
////
function update(d) {
//
// Update the array to filter the chart by:
//
// add the clicked key if not included:
if (filtered.indexOf(d) == -1) {
filtered.push(d);
// if all bars are un-checked, reset:
if (filtered.length == keys.length) filtered = [];
}
// otherwise remove it:
else {
filtered.splice(filtered.indexOf(d), 1);
}
//
// Update the scales for each group(/states)'s items:
//
var newKeys = [];
keys.forEach(function(d) {
if (filtered.indexOf(d) == -1) {
newKeys.push(d);
}
})
x1.domain(newKeys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
if (filtered.indexOf(key) == -1) return d[key];
});
})]).nice();
//g.select(".yaxis")
//.call(d3.axisLeft(y).ticks(null, "s"));
var t0 = svg.transition().duration(250);
var t1 = t0.transition();
t1.selectAll(".yaxis").call(d3.axisLeft(y).ticks(null, "s"));
//
// Filter out the bands that need to be hidden:
//
var bars = svg.selectAll(".bar").selectAll("rect")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
})
bars.filter(function(d) {
return filtered.indexOf(d.key) > -1;
})
.transition()
.attr("x", function(d) {
return (+d3.select(this).attr("x")) + (+d3.select(this).attr("width")) / 2;
})
.attr("height", 0)
.attr("width", 0)
.attr("y", function(d) {
return height;
})
.duration(500);
//
// Adjust the remaining bars:
//
bars.filter(function(d) {
return filtered.indexOf(d.key) == -1;
})
.transition()
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("height", function(d) {
return height - y(d.value);
})
.attr("width", x1.bandwidth())
.attr("fill", function(d, i) {
return z(d.key);
})
.duration(500);
// update legend:
legend.selectAll("rect")
.transition()
.attr("fill", function(d, i) {
if (filtered.length) {
if (filtered.indexOf(d) == -1) {
return z(d);
} else {
return "white";
}
} else {
return z(d);
}
})
.duration(100);
}

Updating graph in d3

I'm working on creating a graph that updates when a button is clicked, however when clicking the button, it seems only the axis are updating, and not the data itself.
The current version is in this plunker, I've also attached the code below:
http://plnkr.co/edit/85H6i25YPbTB0MRKtpZn?p=preview
I'm still quite new to D3 and have used a a few books and a lot of reading to get me to an ok level, but am struggling to find an answer to this specific question after trawling through many pages of the internet.
It would be amazing if anyone could give me some guidance on where I'm going wrong.
<body>
<svg width="960" height="500"></svg>
<div id="option">
<input name="updateButton" type="button" value="Click here to update the chart with results after the snap election" onclick="updateData()" />
</div>
<script type="text/javascript">
//graph 1
var svg = d3.select("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#0087dc", "#d50000", "#FDBB30"]);
d3.csv("data.csv", function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
x0.domain(data.map(function(d) {
return d.Year;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
g.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x0(d.Year) + ",0)";
})
.selectAll("rect")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
})
.enter().append("rect")
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Seats before snap election");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) {
return d;
});
});
// ** Update data section (Called from the onclick)
function updateData() {
//call data
d3.csv("data_copy.csv", function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
//scale range of data again
x0.domain(data.map(function(d) {
return d.Year;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
var sel = svg.selectAll("g")
.data(data);
//remove
sel.exit().remove("g");
sel.enter().append("g")
.attr("transform", function(d) {
return "translate(" + x0(d.Year) + ",0)";
})
.selectAll("rect")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
})
//remove
svg.selectAll("rect");
sel.exit().remove("rect");
sel.enter().append("rect")
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Seats after snap election");
});
}
#thedude's answer is right, but doesn't correct everything: it updates the bars, but the heights are wrong, for instance. Something to do with the inner .data join and the subsequent secondary formatting, I guess.
I checked at the same time and came up with the solution below. The core change that makes the update button update is this:
var sel = svg.selectAll("g.chartarea").selectAll("g.year").data(data);
sel.exit().remove();
sel.enter().append("g").classed("year", true);
// continuing with sel didn't update the just appended elements
// so I repeated the selection to get the new elements as well
sel = svg.selectAll("g.chartarea").selectAll("g.year");
sel.attr( // and so on
Complete script:
var svg = d3.select("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#0087dc", "#d50000", "#FDBB30"]);
// added class to enable precise selection
g.append("g").classed("chartarea", true);
// added classes to enable precise selection
g.append("g")
.classed("axis", true)
.classed("x-axis", true);
// added classes to enable precise selection
g.append("g")
.classed("axis", true)
.classed("y-axis", true);
updateGraph("data.csv");
// ** Update data section (Called from the onclick)
function updateData() {
updateGraph("data_copy.csv");
}
function updateGraph(file) {
//call data
d3.csv(file, function(d, i, columns) {
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
//scale range of data again
x0.domain(data.map(function(d) {
return d.Year;
}));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(keys, function(key) {
return d[key];
});
})]).nice();
var sel = svg.selectAll("g.chartarea").selectAll("g.year")
.data(data);
//remove
sel.exit().remove();
// added classes to enable precise selection
sel.enter().append("g").classed("year", true);
sel = svg.selectAll("g.chartarea").selectAll("g.year");
sel.attr("transform", function(d) {
return "translate(" + x0(d.Year) + ",0)";
})
.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
var parties =
sel.selectAll("rect.party")
.data(function(d) {
return keys.map(function(key) {
return {
key: key,
value: d[key]
};
});
});
parties.exit().remove();
// added classes to enable precise selection
parties.enter().append("rect").classed("party", true);
parties = sel.selectAll("rect.party");
parties.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
.attr("width", x1.bandwidth())
.attr("height", function(d) {
return height - y(d.value);
})
.attr("fill", function(d) {
return z(d.key);
});
// select the axes instead of appending them here
g.selectAll("g.x-axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.selectAll("g.y-axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Seats after snap election");
});
}
Added some further changes that may be worth a look:
Don't differentiate between initialization and update. This is exactly what D3 excels at: doing everything with the same code. In my refactored version, the code is reduced to a single updateGraph function that does both.
Use classes or identifiers to differentiate your graphical elements. There are several places where you select too much with selectAll("g") which will select nearly all elements in your chart.
Don't add stuff multiple times. For example, the axes should be added only once. In the original code, they were added twice, overlaying each other. Instead, add them once, leave them uninitialized, then later select them and set their attributes correctly.
You need to update your rect selection in your click handler like this:
...
//remove
sel = svg.selectAll("rect");
sel.exit().remove("rect");
sel.enter().append("rect")
sel.attr("x", function(d) {
return x1(d.key);
})
.attr("y", function(d) {
return y(d.value);
})
...
You can see it in action here:
http://plnkr.co/edit/3R9lauiQQIB0IgrAk3X2?p=preview
Edit - I've updated the plunker with a working example that addresses several other issues

D3.js How to identify a single bar uniquely within a group bar chart

I have created group bar chart by using D3.js. Each group has 2 bars. When any bar is clicked it must show some data using custom alert box. Now the bar can click and it shows data.
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("class", "TestSuite")
.on("click", function(d,i) {
if(i==0){
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
Alert.render(d3.select(this).data()[0].TrueStatements);
}
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
But data is vary according to clicked bars. So how to identify each single bar within a single group uniquely.
Here "if condition" that I used does not do the thing I want.How do I correct it?
Thank you.
(Suppose one group of bar consists two bars, one shows true count and other shows false count for a particular scenario. When we click the bar which shows true count then it should appear "TrueStatements" which is already have in data.using d3.select(this).data()[0].TrueStatements can do this. And also when someone click the bar which shows false count then it should appear "FalseStatements" which is already have in data.using d3.select(this).data()[0].FalseStatements can do this. My question is how do we identify the bar which shows true count and the bar which shows false count uniquely for do this task.)
EDITED:
How I get the data for bar chart(This is inside a for loop)
originalDataSetForBarChart.push({
TestSuite: "TS"+treeIndex,
Pass: trueAppear,
Fail: falseAppear,
FalseStatements : falseStatement,
TrueStatements : trueStatement
});
Bar chart code
var margin = {
top: 20,
right: 10,
bottom: 30,
left: 40
},
width = 890 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .5);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#4169E1", "#800080"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(""));
var w = width + margin.left + margin.right;
var h = height + margin.top + margin.bottom;
var svg = d3.select(".chart1").append("svg")
.attr("width", w)
.attr("height", h)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//svg.call(tip);
var xg = svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")");
var yg = svg.append("g")
.attr("class", "y axis");
yg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Count");
I append bars to this chart inside a setInterval function using following method.
function update() {
startTime_barChart = new Date().getTime();
for (var i = 0; i < data.length; i++) {
var testSuite = d3.keys(data[i]).filter(function (key) {
return key !== "TestSuite";
});
}
data.forEach(function (d) {
d.trueFalseCount = testSuite.map(function (name) {
return {
name: name,
value: +d[name]
};
});
});
x0.domain(data.map(function (d) {
return d.TestSuite;
}));
x1.domain(testSuite).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function (d) {
return d3.max(d.trueFalseCount, function (d) {
return d.value;
});
})]);
//making the x axis/y axis
xg.call(xAxis);
yg.call(yAxis);
//removing all the rectangles
svg.selectAll(".TestSuite").remove();
var tip_word;
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([-10, 0])
.html(function(d) {
tip_word= "<strong style='color:white'>"+
"Pass count :"+
"</strong>"+
" <span style='color:white'>" + d.True +
"</span></br>"+
"<strong style='color:white'>"+
"Fail count :"+
"</strong>"+
" <span style='color:white'>" + d.False +
"</span>";
return word;
});
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("class", "TestSuite")
.on("click", function(d,i) {
if(i%2 == 0){//How to set this condition
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
Alert.render(d3.select(this).data()[0].TrueStatements);
}
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
svg.call(tip);
state.selectAll("rect")
.data(function (d) {
return d.trueFalseCount;})
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function (d) {
return x1(d.name);
})
.attr("y", function (d) {
return y(d.value);
})
.attr("height", function (d) {
return height - y(d.value);
})
.style("fill", function (d) {
return color(d.name);
});
if(barChartLegentController==1){
var legend = svg.selectAll(".legend")
.data(testSuite.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; });
barChartLegentController=2;
}
endTime_barChart = new Date().getTime();
var totalbar = (endTime_barChart-startTime_barChart)/1000;
//alert('Total bar time : '+ totalbar+' seconds');
}
I'm not sure I fully understand what you are asking yet but the best way to identifying any element/entity is with an id, something like the following:
d3.select(this).attr(id, function(d, i) {return 'bar_' + i});
Add this inside the iterative function where you are creating your bars. In this way you will be able to select them from anywhere in your code with a d3.select('#bar_1).
If you only want to identify each bar it would be something like this:
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("id", function(d,i) {return 'bar_' + i})
.attr("class", "TestSuite")
.on("click", function(d,i) {
if(i==0){
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
Alert.render(d3.select(this).data()[0].TrueStatements);
}
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
In the case that you would like to identify each bar with an Id related to its contents (true or false statements) I would suggest something like the following:
var state = svg.selectAll(".TestSuite")
.data(data)
.enter().append("g")
.attr("class", "TestSuite")
.on("click", function(d,i) {
var barId;
if(i==0){
barId = 'falseBar_' + i;
Alert.render(d3.select(this).data()[0].FalseStatements);
}else{
barId = 'trueBar_' + i;
Alert.render(d3.select(this).data()[0].TrueStatements);
}
d3.select(this).attr('id', barId);
})
.attr("transform", function (d) {
return "translate(" + x0(d.TestSuite) + ",0)";
});
In any case, this will assign an unique Id to every bar (i.e. "bar_25" or "falseBar_14") to each bar, giving you an ideal way to identify each bar.
EDIT: After OP showed me the actual code they are working with, the following are my suggestions for a solution (which are actually on the same lines as the code above).
The code you should actually be tinkering with is the one below the code you posted. It is where the actual bars are rendered:
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
My suggestion to add an id attribute to each bar would be the following:
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("id", function(d, i) {return 'bar_' + i}) // <-- Edited line
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
It is important that you understand why this, and not the code block you provided initially, is the pertinent one. As you well said, the first block renders each group of bars (hence the append("g") which stands for svg group). The second block starts with a append("rect") which means svg rectangle. This and other lines (i.e. style("fill")..., attr("x")... and attr("y")...) clearly give away that this block is the one dealing with the actual bars and not the groups.

D3.js How do I rotate a Marimekko chart

I have a Marimekko chart where the bars are aligned vertically (with a limited number of bars).
However, the eventual chart will have so many bars that it would be better with a horizontal layout which would support a larger number of values.
I've tried to modify the chart by reversing x and y values but the result does not work properly. I want the first month in the data to appear at the top of the chart.The working code with vertical bars (no data) is below and here.
var width = 700,
height = 500,
margin = 20;
var color = d3.scale.category20();
var x = d3.scale.linear()
.range([0, width - 3 * margin]);
var y = d3.scale.linear()
.range([0, height - 2 * margin]);
var n = d3.format(",d"),
p = d3.format("%");
var svg = d3.select("#chart")
.append("svg")
.attr("width", width)
.attr("height", height)
.append("g")
.attr("transform", "translate(" + 2 * margin + "," + margin + ")");
d3.json("/mydrupal/sites/default/d3_files/json/marimekko6.json",
function(error,data) {
var offset = 0;
// Nest values by month. We assume each month + cause is unique.
var months = d3.nest()
.key(function(d) {
return d.month;
})
.entries(data);
// Compute the total sum, the per-month sum, and the per-cause offset.
// You can use reduce rather than reduceRight to reverse the ordering.
// We also record a reference to the parent cause for each month.
var sum = months.reduce(function(v, p) {
return (p.offset=v) + (p.sum=p.values.reduceRight(function(v, d) {
d.parent = p;
return (d.offset = v) + d.deaths;
}, 0));
}, 0);
// Add a group for each cause.
var months = svg.selectAll(".month")
.data(months)
.enter()
.append("g")
.attr("class", "month")
.attr("xlink:title", function(d) {
return d.key;
})
.attr("transform", function(d) {
return "translate(" + x(d.offset / sum) + ")";
});
// Add a rect for each month.
var causes = months.selectAll (".cause")
.data(function(d) {
return d.values;
})
.enter()
.append("a")
.attr("class", "month")
.attr("xlink:title", function(d) {
return d.cause + " " + d.parent.key + ": " + n(d.deaths);
});
causes.append("rect")
.attr("y", function(d) {
return y(d.offset / d.parent.sum);
})
.attr("height", function(d) {
return y(d.deaths / d.parent.sum);
})
.attr("width", function(d) {
return x(d.parent.sum / sum);
})
.style("fill", function(d) {
return color(d.cause);
});
// see http://stackoverflow.com/questions/17574621/
// text-on-each-bar-of-a-stacked-bar-chart-d3-js
causes.append("text")
.text(function(d) {
return d.cause + " " + n(d.deaths);
})
.attr("x", 5)
.attr("y", function(d) {
return (y(d.offset / d.parent.sum)+20);
})
.attr("class", "label");
causes.append("text")
.text(function(d) {
return (" Total: " + d.parent.sum);
}) // total
.attr("x", 5)
.attr("y", function(d) {
return 450;
})
.attr("class", "label2");
causes.append("text")
.text(function(d) {
return d.parent.key;
}) // month
.attr("x", 5)
.attr("y", function(d) {
return 480;
})
.attr("class", "label2");
});
Here's the fix. Basically you need to change x and y as well as width and the height.
// Add a group for each cause.
var months = svg.selectAll(".month")
.data(months)
.enter().append("g")
.attr("class", "month")
.attr("xlink:title", function(d) {
return d.key; })
.attr("transform", function(d) {
return "translate(0," + y(d.offset / sum) + ")";
});
// Add a rect for each month.
var causes = months.selectAll (".cause")
.data(function(d) {
return d.values; })
.enter().append("a")
.attr("class", "month")
.attr("xlink:title", function(d) {
return d.cause + " " + d.parent.key + ": " + n(d.deaths); });
causes.append("rect")
.attr("x", function(d) {
return x(d.offset / d.parent.sum); })
.attr("width", function(d) {
return x(d.deaths / d.parent.sum); })
.attr("height", function(d) {
return y(d.parent.sum / sum); })
.style("fill", function(d) {
return color(d.cause);
});

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