mainXScale = d3.scaleBand()
.domain(data.map(d => d.x))
.range([mainMargin.left, width - mainMargin.right])
.paddingInner(0.4);
Published
Edited
Jun 28, 2020
1 star
textures = require("textures")
minimapPositionTranslate = "" + miniMargin.left + "," + parseFloat(mainMargin.top + mainHeight + mainMargin.bottom + miniMargin.top);
// clip = clipPath => clipPath.append("rect")
// .attr("x", mainMargin.left)
// .attr("y", 0)
// .attr("width", mainWidth + mainMargin.left)
// .attr("height", mainHeight);
miniXScale = d3.scaleBand()
.domain(data.map(d => d.x))
.range([0, miniWidth])
.paddingInner(0.4);
mainYScale = d3.scaleLinear()
.domain([0, d3.max(data, d => d.y)]).nice()
.range([mainMargin.top, mainHeight - mainMargin.bottom]);
miniYScale = d3.scaleLinear()
.domain([0, d3.max(data, d => d.y)]).nice()
.range([0, miniHeight]);
mainXZoom = d3.scaleLinear()
.range([0, mainWidth])
.domain([0, mainWidth]);
mainXAxis = g => g
.attr("transform", `translate(0,${mainHeight})`)
.call(d3.axisBottom(mainXScale)
.tickSizeOuter(0)
.tickFormat(d => d3.timeFormat("%a")(d).substring(0, 1))
);
initialBrushXSelection = [0, 200]
chartTitle = g => g
.append("text")
.attr("id", "chart-title")
.attr("x", 0)
.attr("y", 0)
.attr("dy", "1em")
.style("font-weight", "800")
.style("font-size", "clamp(.7rem, 2.5vw, 1.2rem)") // minimum, preferred, maximum
.text(data.barChartTitle);
chartBy = g => g
.attr("transform", `translate(${width}, ${height})`)
.append("text")
.attr("id", "source")
.attr("x", 0)
.attr("y", 0)
.attr("dy", "-0.5em")
.attr("text-anchor", "end")
.text('@DiDoesDigital');
mainMargin = ({top: 48, right: 0, bottom: 24, left: 0})
mainWidth = width - mainMargin.left - mainMargin.right;
mainHeight = 450;
miniMargin = ({top: 12, right: 0, bottom: 48, left: 0})
miniHeight = 100;
miniWidth = width - miniMargin.left - miniMargin.right;
barColor = "#EF767A"
inactiveColor = "#f2e9e9"
activeColor = "#EF767A"
accessibleDataTable = renderDataTable(data, {caption: data.tableCaption, columns: data.slice[0], focusable: false})
d3 = require("d3@5", "d3-array@2.4")
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.
