margin_line = ({top: 20, right: 20, bottom: 30, left: 30})
xAxis_line = g => g
.attr("transform", `translate(0,${height_line - margin_line.bottom})`)
.call(d3.axisBottom(x_line).ticks(width / 80).tickSizeOuter(0))
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x",-30)
.attr("y",-10)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(line_data.x))
yAxis_line = g => g
.attr("transform", `translate(${margin_line.left},0)`)
.call(d3.axisLeft(y_line))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(line_data.y))
line = d3.line()
.defined(d => !isNaN(d))
.x((d, i) => x_line(line_data.dates[i]))
.y(d => y_line(d))
month_data = {
var to_return = [];
if (slider1 != null){
var idx = ["Jan","Feb","Mar","Apr","May","Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"].indexOf(slider1);
var i;
for(i = 0; i < incident.length; i++){
to_return.push({
name: incident[i],
value: transformed_data[idx][incident[i]]
});
}
}
return to_return;
}
width = 975
height = width
innerRadius = 180
outerRadius = Math.min(width, height) / 2
d3 = require("d3@5")
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
