// md`</br></br>
// ### Recommendations and Next Steps
// Coming soon!</br></br>`
line = d3.line()
// .defined(d => !isNaN(d))
.curve(d3.curveBundle.beta(1))
.x((d, i) => distribution_x(distribution_data.costs[i]))
.y(d => distribution_y(d))
distribution_x = d3.scaleLinear()
.domain(d3.extent(distribution_range))
.range([distribution_margin.left, distribution_dimensions.width - distribution_margin.right]).nice()
distribution_margin = ({top: 70, right: 20, bottom: 60, left: 30})
distribution_dimensions = ({width: 960, height: 550})
distribution_xAxis = g => g
.attr("transform", `translate(0,${distribution_dimensions.height - distribution_margin.bottom})`)
.call(d3.axisBottom(distribution_x).tickPadding(6).ticks(20, ".1s"))
.call(g => g.append("text")
.attr("x", distribution_dimensions.width - 10)
.attr("y", 45)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text("Minimum Cost Savings ($)"))
distribution_y = d3.scaleLinear()
.domain([0, 1])
.range([distribution_dimensions.height - distribution_margin.bottom, distribution_margin.top]).nice()
color(rate_selection)
distribution_yAxis = g => g
.attr("transform", `translate(${distribution_margin.left},0)`)
.call(d3.axisLeft(distribution_y).tickPadding(6).ticks(10, "%"))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -distribution_margin.left - 10)
.attr("y", distribution_margin.top - 25)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(distribution_data.y))
distribution_grid = g => g
.attr("stroke", "currentColor")
.attr("stroke-opacity", 0.1)
.call(g => g.append("g")
.selectAll("line")
.data(distribution_y.ticks())
.join("line")
.attr("y1", d => 0.5 + distribution_y(d))
.attr("y2", d => 0.5 + distribution_y(d))
.attr("x1", distribution_margin.left)
.attr("x2", distribution_dimensions.width - distribution_margin.right));
color = d => d3.scaleOrdinal(rates, ["#be4579", "#89cda8", "#fcd404", "#3b99a7", "#e26e42", "#c59fca"])(d)
grid = g => g
.attr("stroke", "currentColor")
.attr("stroke-opacity", 0.1)
.call(g => g.append("g")
.selectAll("line")
.data(scatterplot_x.ticks())
.join("line")
.attr("x1", d => 0.5 + scatterplot_x(d))
.attr("x2", d => 0.5 + scatterplot_x(d))
.attr("y1", scatterplot_margin.top)
.attr("y2", scatterplot_dimensions.height - scatterplot_margin.bottom))
.call(g => g.append("g")
.selectAll("line")
.data(scatterplot_y.ticks())
.join("line")
.attr("y1", d => 0.5 + scatterplot_y(d))
.attr("y2", d => 0.5 + scatterplot_y(d))
.attr("x1", scatterplot_margin.left)
.attr("x2", scatterplot_dimensions.width - scatterplot_margin.right));
scatterplot_yAxis = g => g
.attr("transform", `translate(${scatterplot_margin.left},0)`)
.call(d3.axisLeft(scatterplot_y).tickPadding(6).ticks(20, ".1s"))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -scatterplot_margin.left)
.attr("y", scatterplot_margin.top - 25)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y))
distribution_legend = g => {
const svg = g
.attr("transform", `translate(${distribution_dimensions.width - distribution_margin.right},10)`)
.attr("font-family", "sans-serif")
.attr("font-size", 12)
.attr("text-anchor", "start");
const item = svg
.selectAll("g")
.data(["BATTERY + PV", "PV ONLY"])
.join("g")
.attr("transform", (d, i) => `translate(0,${i * 25})`);
item.each(function(d, i) {
d3.select(this).append("text")
.attr("fill", "#c1c1c1")
.attr("x", -110)
.attr("dy", "0.35em")
.text(String);
d3.select(this).append("circle")
.attr("fill", i === 0 ? color(rate_selection): "#c6c6c6")
.attr("stroke-width", 0)
.attr("r", 4)
.attr("cx", -125)
.attr("cy", 0);
});
}
grouped = {
let dat = data.filter(d => d.rate === rate_selection);
let grouped = _.groupBy(dat, d => d.id);
for (const group in grouped) {
grouped[group] = {
base: quartiles(grouped[group], "base_cost"),
ppa: quartiles(grouped[group], "ppa_with_battery_cost")
}
}
for (const bid in bids) {
let k = `${bid}PPA`
let d = dat.filter(d => d.id.substr(0, 2) === bid);
grouped[k] = {
base: quartiles(d, "base_cost"),
ppa: quartiles(d, "ppa_pv_only_cost")
}
}
return Object.entries(grouped).sort((a, b) => b[1].ppa[2] - a[1].ppa[2]);
}
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