data = d3.csv(
"https://raw.githubusercontent.com/info474-s17/m14-layouts/master/exercise-1/data/prepped_data.csv",
d3.autoType
)
render_data_table(data.slice(0, 10))
md`This is the data from our class exercise about the country GDP, life expectancy and fertility rate in different regions all around the world.`
nested = d3
.nest()
.key(d => d.region)
.entries(data)
.map(d => {
return {
key: d.key,
name: d.key,
values: d.values,
children: d.values
};
})
nested2 = d3
.nest()
.key(d => d.region)
.entries(data)
.map(d => {
return {
key: d.key,
children: d.values
};
})
md`## Circle Map`
pack = data =>
d3
.pack()
.size([width - 2, height - 2])
.padding(3)(
d3
.hierarchy({ key: "world", values: nested }, d => d.values)
.sum(d => +d["gdp"])
.sort((a, b) => b.value - a.value)
)
color1 = d3.scaleSequential([8, 0], d3.interpolateMagma)
import { chart as circleMap } with {
nested as data,
pack
} from '@d3/zoomable-circle-packing'
circleMap
format = d3.format(",d")
md`## Sunburst Chart`
data2 = hierarchy.sum(d => +d['gdp'])
radius = width / 2
import { chart as sunburstChart } with {
data2 as data,
partition
} from '@d3/sunburst'
sunburstChart
md`## Tree diagram`
tree = data => {
const root = d3
.hierarchy({ key: "world", values: nested }, d => d.values)
.sum(d => +d["gdp"]);
root.dx = 10;
root.dy = width / (root.height + 1);
return d3.tree().nodeSize([root.dx, root.dy])(root);
}
import { chart as treeDiagram } with {
nested as data,
tree
} from '@d3/tidy-tree'
treeDiagram
md`## Tree Map`
make_treemap_layout = d3
.treemap()
.round(true)
.tile(d3.treemapResquarify)
.size([width, height])
color = d3
.scaleOrdinal()
.domain(nested.map(d => d.key))
.range(d3.schemeCategory10)
hierarchy = d3.hierarchy({ key: "world", values: nested }, d => d.values)
viewof metric = select({
title: "Metric for visualizatoin",
options: ["fertility_rate", "life_expectancy", "gdp"],
value: "gdp"
})
chart = {
const svg = d3
.create("svg")
.attr("width", width)
.attr("height", height);
svg.node().update = current_metric => {
make_treemap_layout(hierarchy.sum(d => d[current_metric]));
svg
.selectAll("g")
.data(hierarchy.leaves())
.join(enter => {
const gs = enter
.append("g")
.attr("transform", d => `translate(${width / 2}, ${height / 2})`);
gs.append("text")
.text(d => d.data.country_code)
.style("font-size", "10px")
.attr("y", 10);
gs.append("rect")
.style("stroke", "white")
.style("fill", d => color(d.parent.data.key))
.style("fill-opacity", .5);
return gs;
})
.transition()
.ease(d3.easeBounceOut) //uncomment for a bouncing transition
.duration(1500)
.delay((d, i) => i * 20)
.attr("transform", d => `translate(${d.x0}, ${d.y0})`)
.selectAll("rect")
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
};
return svg.node();
}
chart.update(metric)
import {
displayCaution,
code_styles,
render_data_table
} from "@info474/utilities"
_ = require("lodash")
d3 = require("d3")
import { select } from "@jashkenas/inputs"
height = 900
width = height
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