I've been exploring different approaches for creating multiple grouped bar charts on a single page. I came across two examples (Example 1) and (Example 2), but I'm facing an issue with setting the X and Y domains correctly. Here's a snippet of the JSON data I'm working with:
var data = [
{"name":"AA","sales_price":20,"retail_price":25},
{"name":"BB","sales_price":30,"retail_price":45},
{"name":"CC","sales_price":10,"retail_price":55},
{"name":"DD","sales_price":10,"retail_price":25},
{"name":"EE","sales_price":13,"retail_price":20},
{"name":"GG","sales_price":13,"retail_price":15},
];
While I've managed to display the bar values accurately in each chart, I'm struggling with binding the individual row’s sales_price and retail_price values to the axes instead of the entire dataset. The block of code causing trouble is as follows:
data.forEach(function(d) {
d.compare = field_name.map(function(name) {
return {name: name, value: +d[name]};
});
});
x0.domain(data.map(function(d) { console.log(d); return d.name; }));
x1.domain(field_name).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.compare, function(d) {
return d.value; });
})]);
My aim is to have the domains reflect each row's values for each grouped bar chart. How can I achieve this?
Here is the complete code:
function multi_bars(el){
var margin = {top: 45, right:20, bottom: 20, left: 50},
width = 350 - margin.left - margin.right,
height = 250 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var field_name = ['retail_price','sales_price'];
data.forEach(function(d) {
d.compare = field_name.map(function(name) {
return {name: name, value: +d[name]};
});
});
x0.domain(data.map(function(d) { console.log(d); return d.name; }));
x1.domain(field_name).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) {
return d3.max(d.compare, function(d) {
return d.value; });
})]);
var svg = d3.select(el).selectAll("svg")
.data(data)
.enter().append("svg:svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
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("Price");
// Accessing nested data: https://groups.google.com/forum/#!topic/d3-js/kummm9mS4EA
// data(function(d) {return d.values;})
// this will dereference the values for nested data for each group
svg.selectAll(".bar")
.data(function(d) {return d.compare;})
.enter()
.append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x1(d.name); })
.attr("width", x1.rangeBand())
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.attr("fill", color)
var legend = svg.selectAll(".legend")
.data(field_name.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; });
function type(d) {
d.percent = +d.percent;
return d;
}
}
multi_bars(".container");