// set the dimensions and margins of the graph
var margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
// set the ranges
var x = d3.scaleBand()
.range([0, width])
.padding(0.1);
var y = d3.scaleLinear()
.range([height, 0]);
//define tooltip
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([20, 0])
.html(function(d) {
return "<strong>Sales:</strong> <span style='font-weight:normal;color:red'>" + d.sales + "</span>";
});
// append the svg object to the body of the page
// append a 'group' element to 'svg'
// moves the 'group' element to the top left margin
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 + ")")
.call(tip);
// Add background color to the chart
svg.append("rect")
.attr("x", 0)
.attr("y", 0)
.attr("width", width)
.attr("height", height)
.attr("class","backbar");
// get the data
//d3.csv("sales.csv", function(error, data) {
// if (error) throw error;
var data = d3.csvParse(d3.select('#data_csv').text());
console.log(data);
// format the data
data.forEach(function(d) {
d.sales = +d.sales;
});
// Scale the range of the data in the domains
x.domain(data.map(function(d) {
return d.salesperson;
}));
y.domain([0, d3.max(data, function(d) {
return d.sales;
})]);
// append the rectangles for the bar chart
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d.salesperson);
})
.attr("width", x.bandwidth())
.attr("y", function(d) {
return y(d.sales);
})
.attr("height", function(d) {
return height - y(d.sales);
})
.on('mouseover', tip.show)
.on('mouseout', tip.hide);
// add the x Axis
svg.append("g")
...
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