md`# Corona Line and Scatter plot in Same Chart [Log Scale]`
chart = {
const svg= d3.create('svg')
.attr('viewBox',[0,0,width,height]);
svg.append('g')
.call(xAxis);
svg.append('g')
.call(yAxis);
svg.append('path')
.datum(data)
.attr('fill','none')
.attr('stroke', color)
.attr('stroke-width','1')
.attr("opacity", "0.5")
.attr('stroke-linejoin','round')
.attr('stroke-linecap','round')
.attr('d',line);
svg.selectAll("dot")
.data(data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", function(d) { return r(d.close)} )
.attr("cx", function(d) { return x(d.date) })
.attr("cy", function(d) { return y(d.close) })
.attr("opacity", "0.7")
.attr("fill", color);
return svg.node();
}
parseTime = d3.timeParse("%m/%_d/%Y")
data_raw=d3.csvParse(await FileAttachment("covid@12.csv").text())
data={
data_raw.map(function(d){
d.close= +d.total_deaths
return d;
});
var df = d3.nest()
.key(function(d) { return d.date; })
.rollup(function(v) { return d3.sum(v, function(d) { return +d.close; }); })
.entries(data_raw);
var dt=df;
dt.forEach(function(d) {
d.date=parseTime(d.key);
d.close = +d.value;
});
dt.sort((b,a) => a.date - b.date);
var data=dt;
return data;
}
colorFunction=function color(array){if (array[array.length-1].close < array[0].close) {return '#ff1e00';} else {return '#02d139';}}
color=colorFunction(data)
margin = ({top: 50, right: 30, bottom: 30, left: 50})
height=300;
width=900;
d3.extent(data, d=> d.date)
x=d3.scaleUtc()
.domain(d3.extent(data, d=> d.date))
.range([margin.left,width-margin.right])
xAxis= g => g
.attr('transform',`translate(0,${height-margin.bottom})`)
.attr("color","steelblue")
.call(
d3.axisBottom(x).ticks(7).tickSize(3))
yDomain=d3.extent(data, d=> d.close)
y=d3.scaleLog()
.domain([1, yDomain[1]])
.range([height- margin.bottom ,margin.top])
yAxis= g => g
.attr('transform',`translate(${margin.left},0)`)
.attr("color","steelblue")
.call(d3.axisLeft(y).ticks(4).tickSize(-width+margin.left+margin.right).tickFormat(d3.format(".0s")) )
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", width/2-margin.left)
.attr("y",-10)
.attr("text-anchor", "middle")
.attr("font-size","20px")
.attr("font-weight", "bold")
.text("Deaths due to COVID-19 worldwide"))
r=d3.scaleLinear()
.domain(d3.extent(data, d=> d.close)).nice()
.range([0 ,10])
line=d3.line()
.curve(d3.curveMonotoneX)
.defined( d => !isNaN(d.close))
.x(d => x(d.date))
.y(d => y(d.close))
styles = html`
<style>
svg{
background-color:#111;
}
</style>
`
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.
