Starting from Mike's sample (https://gist.github.com/1134768) I stripped down the chart to the bare minimum to understand the physics. I use a matrix instead of a csv or json. With the console.log outputs you can look at the transformation of the matrix when fed into the stack layout.
Created
June 16, 2012 10:20
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Most simple d3.js stack bar chart from matrix
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Simple Stack</title> | |
| <script src="http://d3js.org/d3.v2.js"></script> | |
| <style> | |
| svg { | |
| border: solid 1px #ccc; | |
| font: 10px sans-serif; | |
| shape-rendering: crispEdges; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="viz"></div> | |
| <script type="text/javascript"> | |
| var w = 960, | |
| h = 500 | |
| // create canvas | |
| var svg = d3.select("#viz").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(["darkblue", "blue", "lightblue"]) | |
| 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], | |
| [ 5, 450, 430, 5000] | |
| ]; | |
| 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) | |
| 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(); }); | |
| // 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()); | |
| </script> | |
| </body> | |
| </html> |
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I would like to use this form of chart to recreate a chart of disease causes where the width of each column corresponds to the total number of deaths in a given period, the height of each column is the same with the height of each segment the proportion of diseases in that period. A chart similar to this was created in the mid 19th century by Andrew Smith. I'm very much a rookie in javascript (and d3) although I have some experience. What I would like to know where and how to adjust the starting point of each column so that it is the sum of the preceding columns, and also to adjust the height so that each column is the same. Do you have any suggestions as to how to proceed?