1. 前言
2. 联动的饼图与柱形图
图：
本地链接：http://127.0.0.1/Example/case4/pie-bar.html
知识点：
1 <!DOCTYPE html>
2 <meta charset="utf-8">
3 <style>
4 body{
5 width:1060px;
6 margin:50px auto;
7 }
8 path { stroke: #fff; }
9 path:hover { opacity:0.9; }
10 rect:hover { fill:blue; }
11 .axis { font: 10px sans-serif; }
12 .legend tr{ border-bottom:1px solid grey; }
13 .legend tr:first-child{ border-top:1px solid grey; }
14
15 .axis path,
16 .axis line {
17 fill: none;
18 stroke: #000;
19 shape-rendering: crispEdges;
20 }
21
22 .x.axis path { display: none; }
23 .legend{
24 margin-bottom:76px;
25 display:inline-block;
26 border-collapse: collapse;
27 border-spacing: 0px;
28 }
29 .legend td{
30 padding:4px 5px;
31 vertical-align:bottom;
32 }
33 .legendFreq, .legendPerc{
34 align:right;
35 width:50px;
36 }
37
38 </style>
39 <body>
40 <div id=‘dashboard‘>
41 </div>
42 <script src="http://d3js.org/d3.v3.min.js"></script>
43 <script>
44 function dashboard(id, fData){
45 var barColor = ‘steelblue‘;
46 function segColor(c){ return {low:"#807dba", mid:"#e08214",high:"#41ab5d"}[c]; }
47
48 // compute total for each state.
49 fData.forEach(function(d){d.total=d.freq.low+d.freq.mid+d.freq.high;});
50
51 // function to handle histogram.
52 function histoGram(fD){
53 var hG={}, hGDim = {t: 60, r: 0, b: 30, l: 0};
54 hGDim.w = 500 - hGDim.l - hGDim.r,
55 hGDim.h = 300 - hGDim.t - hGDim.b;
56
57 //create svg for histogram.
58 var hGsvg = d3.select(id).append("svg")
59 .attr("width", hGDim.w + hGDim.l + hGDim.r)
60 .attr("height", hGDim.h + hGDim.t + hGDim.b).append("g")
61 .attr("transform", "translate(" + hGDim.l + "," + hGDim.t + ")");
62
63 // create function for x-axis mapping.
64 var x = d3.scale.ordinal().rangeRoundBands([0, hGDim.w], 0.1)
65 .domain(fD.map(function(d) { return d[0]; }));
66
67 // Add x-axis to the histogram svg.
68 hGsvg.append("g").attr("class", "x axis")
69 .attr("transform", "translate(0," + hGDim.h + ")")
70 .call(d3.svg.axis().scale(x).orient("bottom"));
71
72 // Create function for y-axis map.
73 var y = d3.scale.linear().range([hGDim.h, 0])
74 .domain([0, d3.max(fD, function(d) { return d[1]; })]);
75
76 // Create bars for histogram to contain rectangles and freq labels.
77 var bars = hGsvg.selectAll(".bar").data(fD).enter()
78 .append("g").attr("class", "bar");
79
80 //create the rectangles.
81 bars.append("rect")
82 .attr("x", function(d) { return x(d[0]); })
83 .attr("y", function(d) { return y(d[1]); })
84 .attr("width", x.rangeBand())
85 .attr("height", function(d) { return hGDim.h - y(d[1]); })
86 .attr(‘fill‘,barColor)
87 .on("mouseover",mouseover)// mouseover is defined below.
88 .on("mouseout",mouseout);// mouseout is defined below.
89
90 //Create the frequency labels above the rectangles.
91 bars.append("text").text(function(d){ return d3.format(",")(d[1])})
92 .attr("x", function(d) { return x(d[0])+x.rangeBand()/2; })
93 .attr("y", function(d) { return y(d[1])-5; })
94 .attr("text-anchor", "middle");
95
96 function mouseover(d){ // utility function to be called on mouseover.
97 // filter for selected state.
98 var st = fData.filter(function(s){ return s.State == d[0];})[0],
99 nD = d3.keys(st.freq).map(function(s){ return {type:s, freq:st.freq[s]};});
100
101 // call update functions of pie-chart and legend.
102 pC.update(nD);
103 leg.update(nD);
104 }
105
106 function mouseout(d){ // utility function to be called on mouseout.
107 // reset the pie-chart and legend.
108 pC.update(tF);
109 leg.update(tF);
110 }
111
112 // create function to update the bars. This will be used by pie-chart.
113 hG.update = function(nD, color){
114 // update the domain of the y-axis map to reflect change in frequencies.
115 y.domain([0, d3.max(nD, function(d) { return d[1]; })]);
116
117 // Attach the new data to the bars.
118 var bars = hGsvg.selectAll(".bar").data(nD);
119
120 // transition the height and color of rectangles.
121 bars.select("rect").transition().duration(500)
122 .attr("y", function(d) {return y(d[1]); })
123 .attr("height", function(d) { return hGDim.h - y(d[1]); })
124 .attr("fill", color);
125
126 // transition the frequency labels location and change value.
127 bars.select("text").transition().duration(500)
128 .text(function(d){ return d3.format(",")(d[1])})
129 .attr("y", function(d) {return y(d[1])-5; });
130 }
131 return hG;
132 }
133
134 // function to handle pieChart.
135 function pieChart(pD){
136 var pC ={}, pieDim ={w:250, h: 250};
137 pieDim.r = Math.min(pieDim.w, pieDim.h) / 2;
138
139 // create svg for pie chart.
140 var piesvg = d3.select(id).append("svg")
141 .attr("width", pieDim.w).attr("height", pieDim.h).append("g")
142 .attr("transform", "translate("+pieDim.w/2+","+pieDim.h/2+")");
143
144 // create function to draw the arcs of the pie slices.
145 var arc = d3.svg.arc().outerRadius(pieDim.r - 10).innerRadius(0);
146
147 // create a function to compute the pie slice angles.
148 var pie = d3.layout.pie().sort(null).value(function(d) { return d.freq; });
149
150 // Draw the pie slices.
151 piesvg.selectAll("path").data(pie(pD)).enter().append("path").attr("d", arc)
152 .each(function(d) { this._current = d; })
153 .style("fill", function(d) { return segColor(d.data.type); })
154 .on("mouseover",mouseover).on("mouseout",mouseout);
155
156 // create function to update pie-chart. This will be used by histogram.
157 pC.update = function(nD){
158 piesvg.selectAll("path").data(pie(nD)).transition().duration(500)
159 .attrTween("d", arcTween);
160 }
161 // Utility function to be called on mouseover a pie slice.
162 function mouseover(d){
163 // call the update function of histogram with new data.
164 hG.update(fData.map(function(v){
165 return [v.State,v.freq[d.data.type]];}),segColor(d.data.type));
166 }
167 //Utility function to be called on mouseout a pie slice.
168 function mouseout(d){
169 // call the update function of histogram with all data.
170 hG.update(fData.map(function(v){
171 return [v.State,v.total];}), barColor);
172 }
173 // Animating the pie-slice requiring a custom function which specifies
174 // how the intermediate paths should be drawn.
175 function arcTween(a) {
176 var i = d3.interpolate(this._current, a);
177 this._current = i(0);
178 return function(t) { return arc(i(t)); };
179 }
180 return pC;
181 }
182
183 // function to handle legend.
184 function legend(lD){
185 var leg = {};
186
187 // create table for legend.
188 var legend = d3.select(id).append("table").attr(‘class‘,‘legend‘);
189
190 // create one row per segment.
191 var tr = legend.append("tbody").selectAll("tr").data(lD).enter().append("tr");
192
193 // create the first column for each segment.
194 tr.append("td").append("svg").attr("width", ‘16‘).attr("height", ‘16‘).append("rect")
195 .attr("width", ‘16‘).attr("height", ‘16‘)
196 .attr("fill",function(d){ return segColor(d.type); });
197
198 // create the second column for each segment.
199 tr.append("td").text(function(d){ return d.type;});
200
201 // create the third column for each segment.
202 tr.append("td").attr("class",‘legendFreq‘)
203 .text(function(d){ return d3.format(",")(d.freq);});
204
205 // create the fourth column for each segment.
206 tr.append("td").attr("class",‘legendPerc‘)
207 .text(function(d){ return getLegend(d,lD);});
208
209 // Utility function to be used to update the legend.
210 leg.update = function(nD){
211 // update the data attached to the row elements.
212 var l = legend.select("tbody").selectAll("tr").data(nD);
213
214 // update the frequencies.
215 l.select(".legendFreq").text(function(d){ return d3.format(",")(d.freq);});
216
217 // update the percentage column.
218 l.select(".legendPerc").text(function(d){ return getLegend(d,nD);});
219 }
220
221 function getLegend(d,aD){ // Utility function to compute percentage.
222 return d3.format("%")(d.freq/d3.sum(aD.map(function(v){ return v.freq; })));
223 }
224
225 return leg;
226 }
227
228 // calculate total frequency by segment for all state.
229 var tF = [‘low‘,‘mid‘,‘high‘].map(function(d){
230 return {type:d, freq: d3.sum(fData.map(function(t){ return t.freq[d];}))};
231 });
232
233 // calculate total frequency by state for all segment.
234 var sF = fData.map(function(d){return [d.State,d.total];});
235
236 var hG = histoGram(sF), // create the histogram.
237 pC = pieChart(tF), // create the pie-chart.
238 leg= legend(tF); // create the legend.
239 }
240 </script>
241
242 <script>
243 var freqData=[
244 {State:‘AL‘,freq:{low:4786, mid:1319, high:249}}
245 ,{State:‘AZ‘,freq:{low:1101, mid:412, high:674}}
246 ,{State:‘CT‘,freq:{low:932, mid:2149, high:418}}
247 ,{State:‘DE‘,freq:{low:832, mid:1152, high:1862}}
248 ,{State:‘FL‘,freq:{low:4481, mid:3304, high:948}}
249 ,{State:‘GA‘,freq:{low:1619, mid:167, high:1063}}
250 ,{State:‘IA‘,freq:{low:1819, mid:247, high:1203}}
251 ,{State:‘IL‘,freq:{low:4498, mid:3852, high:942}}
252 ,{State:‘IN‘,freq:{low:797, mid:1849, high:1534}}
253 ,{State:‘KS‘,freq:{low:162, mid:379, high:471}}
254 ];
255
256 dashboard(‘#dashboard‘,freqData);
257 </script>
时间： 2024-08-11 07:38:40