https://github.com/sourcec0de/rud3
Re-usable charts built on the D3 data visualization library.
https://github.com/sourcec0de/rud3
Last synced: 16 days ago
JSON representation
Re-usable charts built on the D3 data visualization library.
- Host: GitHub
- URL: https://github.com/sourcec0de/rud3
- Owner: sourcec0de
- Created: 2013-05-06T06:35:05.000Z (about 13 years ago)
- Default Branch: master
- Last Pushed: 2013-05-06T18:30:04.000Z (about 13 years ago)
- Last Synced: 2025-11-29T20:18:42.407Z (6 months ago)
- Language: JavaScript
- Size: 4.88 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# NOTES FOR DAVE
I have pretty much ended up in the same position as you did after working for several hours tonight.
### working.html
this file contains the code for a working example of a scatter plot with axese
### index.html
### BarChart.js
contain my code that I worked on
# Also included a copy of Murry D3 Data Visualization eBook for your reference in class.
Hopefully at least some of what I did helps here.
### Working bar with axis
~~~javascript
var valueLabelWidth = 40; // space reserved for value labels (right)
var barHeight = 20; // height of one bar
var barLabelWidth = 100; // space reserved for bar labels
var barLabelPadding = 5; // padding between bar and bar labels (left)
var gridLabelHeight = 18; // space reserved for gridline labels
var gridChartOffset = 3; // space between start of grid and first bar
var maxBarWidth = 420; // width of the bar with the max value
// accessor functions
var barLabel = function(d) { return d['Population (mill)']; };
var barValue = function(d) { return parseFloat(d['Population (mill)']); };
// scales
var yScale = d3.scale.ordinal().domain(d3.range(0, data.length)).rangeBands([0, data.length * barHeight]);
var y = function(d, i) { return yScale(i); };
var yText = function(d, i) { return y(d, i) + yScale.rangeBand() / 2; };
var x = d3.scale.linear().domain([0, d3.max(data, barValue)]).range([0, maxBarWidth]);
// svg container element
var chart = d3.select('#chart').append("svg")
.attr('width', maxBarWidth + barLabelWidth + valueLabelWidth)
.attr('height', gridLabelHeight + gridChartOffset + data.length * barHeight);
// grid line labels
var gridContainer = chart.append('g')
.attr('transform', 'translate(' + barLabelWidth + ',' + gridLabelHeight + ')');
gridContainer.selectAll("text").data(x.ticks(10)).enter().append("text")
.attr("x", x)
.attr("dy", -3)
.attr("text-anchor", "middle")
.text(String);
// vertical grid lines
gridContainer.selectAll("line").data(x.ticks(10)).enter().append("line")
.attr("x1", x)
.attr("x2", x)
.attr("y1", 0)
.attr("y2", yScale.rangeExtent()[1] + gridChartOffset)
.style("stroke", "#ccc");
// bar labels
var labelsContainer = chart.append('g')
.attr('transform', 'translate(' + (barLabelWidth - barLabelPadding) + ',' + (gridLabelHeight + gridChartOffset) + ')');
labelsContainer.selectAll('text').data(data).enter().append('text')
.attr('y', yText)
.attr('stroke', 'none')
.attr('fill', 'black')
.attr("dy", ".35em") // vertical-align: middle
.attr('text-anchor', 'end')
.text(barLabel);
// bars
var barsContainer = chart.append('g')
.attr('transform', 'translate(' + barLabelWidth + ',' + (gridLabelHeight + gridChartOffset) + ')');
barsContainer.selectAll("rect").data(data).enter().append("rect")
.attr('y', y)
.attr('height', yScale.rangeBand())
.attr('width', function(d) { return x(barValue(d)); })
.attr('stroke', 'white')
.attr('fill', 'steelblue');
// bar value labels
barsContainer.selectAll("text").data(data).enter().append("text")
.attr("x", function(d) { return x(barValue(d)); })
.attr("y", yText)
.attr("dx", 3) // padding-left
.attr("dy", ".35em") // vertical-align: middle
.attr("text-anchor", "start") // text-align: right
.attr("fill", "black")
.attr("stroke", "none")
.text(function(d) { return d3.round(barValue(d), 2); });
// start line
barsContainer.append("line")
.attr("y1", -gridChartOffset)
.attr("y2", yScale.rangeExtent()[1] + gridChartOffset)
.style("stroke", "#000");
~~~