Social development practitioner. Trying to understand our world.
south_asia_department_energy_safeguards_chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect").data(chart_data).enter().append("rect")
.attr("x", d => x(d.name))
.attr("y", d => y(d.value))
.attr("height", d => y(0) - y(d.value))
.attr("width", x.bandwidth());
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
south_asia_department_energy_safeguards_env_chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect").data(chart_data_env).enter().append("rect")
.attr("x", a => x_env(a.name))
.attr("y", a => y_env(a.value))
.attr("height", a => y_env(0) - y_env(a.value))
.attr("width", x_env.bandwidth());
svg.append("g")
.call(xAxis_env);
svg.append("g")
.call(yAxis_env);
return svg.node();
}
south_asia_department_energy_safeguards_ip_chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect").data(sard_safeguards_data_ip).enter().append("rect")
.attr("x", b => x_ip(b.name))
.attr("y", b => y_ip(b.value))
.attr("height", b => y_ip(0) - y_ip(b.value))
.attr("width", x_ip.bandwidth());
svg.append("g")
.call(xAxis_ip);
svg.append("g")
.call(yAxis_ip);
return svg.node();
}
south_asia_department_energy_safeguards_ir_chart = {
const svg = d3.select(DOM.svg(width, height));
svg.append("g")
.attr("fill", "steelblue")
.selectAll("rect").data(sard_safeguards_data_ir).enter().append("rect")
.attr("x", c => x_ir(c.name))
.attr("y", c => y_ir(c.value))
.attr("height", c => y_ir(0) - y_ir(c.value))
.attr("width", x_ir.bandwidth());
svg.append("g")
.call(xAxis_ir);
svg.append("g")
.call(yAxis_ir);
return svg.node();
}
x = d3.scaleBand()
.domain(chart_data.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
x_env = d3.scaleBand()
.domain(chart_data_env.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
x_ir = d3.scaleBand()
.domain(sard_safeguards_data_ir.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
x_ip = d3.scaleBand()
.domain(sard_safeguards_data_ip.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(chart_data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
y_env = d3.scaleLinear()
.domain([0, d3.max(chart_data_env, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
y_ir = d3.scaleLinear()
.domain([0, d3.max(sard_safeguards_data_ir, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
y_ip = d3.scaleLinear()
.domain([0, d3.max(sard_safeguards_data_ip, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.tickSizeOuter(0))
xAxis_env = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x_env)
.tickSizeOuter(0))
xAxis_ir = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x_ir)
.tickSizeOuter(0))
xAxis_ip = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x_ip)
.tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
yAxis_env = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
yAxis_ir = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
yAxis_ip = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
safeguard_distribution_region_color = d3.scaleOrdinal()
.domain(sard_regional_distribution_data.map(d => d.name))
.range(d3.quantize(t => d3.interpolateSpectral(t * 0.8 + 0.1), sard_regional_distribution_data.length).reverse())
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.
