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chart.drawData(week)
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x = {
let domain = d3
.map(data, d => d.dayOfWeek)
.keys()
.sort()

let xScale = d3.scaleBand()
.domain(data.map(d => d.dayOfWeek).slice(2,9))
.range([margin.left, width - margin.right])
.padding(0.1);
return xScale;
}
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xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0).tickFormat(d => d3.timeFormat("%a")(d).substring(0, 1)));
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y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.y)]).nice()
.range([height - margin.bottom, margin.top]);
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yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("dy", "-1.5em")
.attr("x", -30)
.attr("text-anchor", "start")
.style("font-weight", 800)
.text(data.yAxisLabel));
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accessibleDataTable = render_data_table(data, {caption: data.tableCaption, columns: data.slice[0], focusable: false})
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weeks = d3.map(data, d => d.weekOfYear).keys()
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data[0]
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import { select } from "@jashkenas/inputs"
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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.
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