我正在练习一些d3js图表，并且得到-
错误圈属性cx：预期长度NaN
和
误差圈属性cy：预期长度NaN
和。我假设它与数据有关，并且我感觉我的数据有误。供我参考的代码链接在这里- http://bl.ocks.org/malcolm-decuire/a98aa2fd81865a6b34a0
下面是我的js文件
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
/*
* value accessor - returns the value to encode for a given data object.
* scale - maps value to a visual display encoding, such as a pixel position.
* map function - maps from data value to display value
* axis - sets up axis
*/
// setup x
var xValue = function(d) { return d.Contributions;}, // data -> value
xScale = d3.scale.linear().range([0, width]), // value -> display
xMap = function(d) { return xScale(xValue(d));}, // data -> display
xAxis = d3.svg.axis().scale(xScale).orient("bottom");
// setup y
var yValue = function(d) { return d.Deaths;}, // data -> value
yScale = d3.scale.linear().range([height, 0]), // value -> display
yMap = function(d) { return yScale(yValue(d));}, // data -> display
yAxis = d3.svg.axis().scale(yScale).orient("left");
// setup fill color
var cValue = function(d) { return d.State;},
color = d3.scale.category10();
// add the graph canvas to the body of the webpage
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// add the tooltip area to the webpage
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// load data
d3.csv("data.csv", function(error, data) {
// change string (from CSV) into number format
data.forEach(function(d) {
d.Contributions = +d.Contributions;
d.Deaths = +d.Deaths;
console.log(d);
});
// don't want dots overlapping axis, so add in buffer to data domain
xScale.domain([d3.min(data, xValue)-1, d3.max(data, xValue)+1]);
yScale.domain([d3.min(data, yValue)-1, d3.max(data, yValue)+1]);
// x-axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("Conntributions");
// y-axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Deaths");
// draw dots
svg.selectAll(".dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", xMap)
.attr("cy", yMap)
.style("fill", function(d) { return color(cValue(d));})
.on("mouseover", function(d) {
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(d["State"] + "<br/> (" + xValue(d)
+ ", " + yValue(d) + ")")
.style("left", (d3.event.pageX + 5) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
// draw legend
var legend = svg.selectAll(".legend")
.data(color.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) {
return "translate("+ (i * 20 + 137) + ", 6)";
});
// draw legend colored rectangles
var boxSize = 17;
legend.append("rect")
.attr("x", 0)
.attr("width", boxSize)
.attr("height", boxSize)
.style("fill", color);
// draw legend text
legend.append("text")
.attr("x", -8.2)
.attr("y", 19)
.attr("dy", ".35em")
.style("text-anchor", "end")
.attr("transform","rotate(-43)")
.text(function(d) { return d;})
});
</script>
data.csv
State Contributions Deaths
Alaska 0 2.24
Arizona 2,772 3.53
California 17,000 3.25
Colorado 100 1.51
Delaware 100 3.09
Georgia 3,750 3.93
Hawaii 5,250 0.07
Illinois 18,000 1.14
Indiana 3,050 3.29
Iowa 14,753 0.71
Kansas 8,650 2.78
Louisiana 2,796 10.16
Maine 5,000 0.9
Michigan 800 5.06
Minnesota 500 0.82
Mississippi 12,500 7.46
Missouri 7,350 4.64
Montana 2,534 0.76
Nevada 15,500 3.07
New Mexico 4,500 2.98
New York 18,000 4.12
North Carolina 3,750 3.87
North Dakota 7,500 0.93
Ohio 3,600 3.54
Oklahoma 500 3.64
Oregon 11,250 1.05
Pennsylvania 21,812 3.97
Rhode Island 13,875 0.57
South Carolina 500 5.41
South Dakota 2,500 0.68
Tennessee 41,596 3.92
Texas 42,250 2.91
Utah 10,000 0.97
Vermont 3,500 0.75
Virginia 11,500 2.58
Washington 68,300 1.25
West Virginia 1,500 2.87
Wisconsin 21,325 1.47