chart = {
// Container SVG
const svg = d3
.select(DOM.svg())
.attr("viewBox", [
0,
0,
viewboxWidth + 150,
viewboxHeight + margin.top + margin.bottom
]);
// Wrapper G element
const g = svg
.attr('preserveAspectRatio', 'xMidYMid')
.append('g')
.attr(
'transform',
`translate(${margin.left + margin.right}, ${margin.top})`
);
// Bind the cartogram data to a selection of G elements
const states = g
.selectAll('.states')
.data([newCartogram_data[0]])
.enter()
.append('g')
.attr('class', 'state-groups');
// // Use california data in the legend
// const legend_data = {};
// cartogram_data
// .filter(d => d.state_postal == legend_state)
// .forEach(d => {
// Object.keys(d).map(dd => (legend_data[dd] = d[dd]));
// });
// legend_data.total = "123";
// legend_data.state_postal = "State";
// legend_data.x_min_label = first_x_label;
// // Draw a legend
// const legend = svg.selectAll(".legend").data([legend_data]);
// legend
// .enter()
// .append("g")
// .attr("transform", `translate(${(viewboxWidth - state_size) / 2}, 70)`)
// .call(renderState, { labelTotal: true, labelNewCases: true });
// Render a state, for each state element
states
.append('g')
.attr(
'transform',
d => `translate(${x_column(d)}, ${y_column(d) + state_size})`
)
.call(xAxis);
states
.append("g")
.attr('class', 't')
.attr('transform', d => `translate(${x_column(d)}, ${y_column(d)})`)
.call(d => {
return renderState
});
// Title
svg
.append("text")
.text(title)
.attr("x", viewboxWidth / 2)
.attr("y", 50)
.attr("font-weight", "bold")
.attr("font-size", 20)
.attr("text-anchor", "middle");
return svg.node();
}
[newCartogram_data[0]]
function drawGenderPlot(data) {
return Plot.plot({
width: 150,
marks: [
Plot.barX(data, {x: "patients", y: "gender", sort: {y: "x", reverse: true}}),
// Plot.ruleX([300])
]
})
}
drawGenderPlot(testData[0].data)
// Function to render the internal elements of each state rectangle -- assumes data is bound
renderState = function(stateElement, options = {}) {
// Append a background element
console.log('t')
drawGenderPlot(stateElement)
stateElement
.append("rect")
.attr("x", 0)
.attr("y", 0)
.attr("height", state_size)
.attr("width", x.range()[1])
.style("fill", "#eee")
.style("fill-opacity", .5);
// Show a different background where x > 0
stateElement
.append("rect")
.attr("x", d => x(d.x_min))
.attr("y", 0)
.attr("height", state_size)
.attr("width", d => x.range()[1] - x(d.x_min))
.style("fill", "#fff4c7");
// Show the state name
stateElement
.append('text')
.attr("x", 0)
.attr('y', 12)
.attr('font-size', 12)
.attr('font-family', 'Helvetica')
.attr('fill', "black")
.attr("font-weight", "bold")
.text(d => d.state_postal);
// Append rectangles
stateElement
.selectAll('.bar')
.data(d => d.data)
.enter()
.append('rect')
.attr('x', d => x(d.key))
.attr('y', d => state_size - y(d.value))
.attr('width', x.bandwidth())
.attr('height', d => y(d.value))
.attr('fill', "red")
.attr('stroke', 'red')
.attr('stroke-width', 0.5);
// Label along the left side (for the legend)
if (options.labelTotal) {
// Legend total cases (text)
stateElement
.append('text')
.attr("x", -5)
.attr('y', 22)
.attr("text-anchor", "end")
.text(total_label)
.style("font-size", "9")
.attr('font-family', 'Helvetica');
// Tiny triangle
stateElement
.append("path")
.attr("transform", "translate(0, 20) rotate(90)")
.attr("d", "M 0,1 L -3,3 3,3 Z")
.style("fill", "#666");
}
// Label along the right side (for the legend)
if (options.labelNewCases) {
// // Legend new cases label
stateElement
.append('text')
.attr("x", state_size + 5)
.attr('y', d => 2 + state_size - y(d.data[d.data.length - 1].value))
.attr("text-anchor", "start")
.text(y_height_label)
.style("font-size", "9")
.attr('font-family', 'Helvetica');
// Total cases triangle
stateElement
.append("path")
.attr(
"transform",
d =>
`translate(${state_size}, ${state_size -
y(d.data[d.data.length - 1].value)}) rotate(-90)`
)
.attr("d", "M 0,1 L -3,3 3,3 Z")
.style("fill", "#666");
}
}
console.log(testData)
title = "Your Cartogram Title Here"
first_x_label = "First X Value Label"
total_label = "Total Label"
y_height_label = "Y Height Label"
_ = require('lodash')
d3 = require("d3@5", "d3-svg-legend@2", "d3-scale-chromatic@1.3.3")
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.
