Relation Between Income And Health Expectancy In Different Countries with Responding to Resize

Added a respond to window resize to this Relation Between Income And Health Expectancy In Different Countries data visualization.

The GDP per capita data are comes from World Wealth & Income Database.

The health data expectancy are gathered from Global Health Observatory data repository.

Some of the code are referenced from curran.

Built with blockbuilder.org

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width">
    <script src="https://d3js.org/d3.v4.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3-legend/2.24.0/d3-legend.min.js"></script>
    <title>Basic Scatter Plot</title>
    <style>
        body {
            margin: 0;
        }

.domain {
            display: none;
        }

.tick line {
            stroke: #C0C0BB;
        }

.tick text, .legendCells text {
            fill: #8E8883;
            font-size: 13pt;
            font-family: sans-serif;
        }

.axis-label, .legend-label {
            fill: #635F5D;
            font-size: 15pt;
            font-family: sans-serif;
        }

#chart {
            position: fixed;
            left: 0;
            right: 0;
            top: 0;
            bottom: 0;
        }
    </style>
</head>
<body>
<div id="chart"></div>
<script>

function redraw() {
        const chartDiv = document.getElementById("chart");
        let svg = d3.select(chartDiv).selectAll('svg').data([null]);
//            .append("svg");

const width = chartDiv.clientWidth;
        const height = chartDiv.clientHeight;

svg = svg.enter().append("svg")
            .attr("width", width)
            .attr("height", height)
            .merge(svg);

const xValue = d => d.income;
        const xLabel = 'Income Per Person, ($/year)';
        const yValue = d => d.health;
        const yLabel = 'Health Expectancy, (years)';
        const rValue = d => d.population;
        const rLabel = 'Size of spots stand for population';
        const colorValue = d => d.region;
        const colorLabel = 'Region';
        const margin = {left: 120, right: 250, top: 30, bottom: 100};

const innerWidth = width - margin.left - margin.right;
        const innerHeight = height - margin.top - margin.bottom;

let g = svg.selectAll('.container').data([null]);
        const gEnter = g.enter().append('g').attr('class', 'container');
        g = gEnter
            .merge(g)
            .attr('transform', `translate(${margin.left},${margin.top})`);

const xAxisGEnter = gEnter.append('g').attr('class', 'x-axis');
        const xAxisG = xAxisGEnter
            .merge(g.select('.x-axis'))
            .attr('transform', `translate(0, ${innerHeight})`);

const yAxisGEnter = gEnter.append('g').attr('class', 'y-axis');
        const yAxisG = yAxisGEnter.merge(g.select('.y-axis'));

const colorLegendGEnter = gEnter.append('g').attr('class', 'legend');
        const colorLegendG = colorLegendGEnter
            .merge(g.select('.legend'))
            .attr('transform', `translate(${innerWidth + 60}, 150)`);

xAxisGEnter
            .append('text')
            .attr('class', 'axis-label')
            .attr('y', 70)
            .merge(xAxisG.select('.axis-label'))
            .attr('x', innerWidth / 2)
            .text(xLabel);

yAxisGEnter
            .append('text')
            .attr('class', 'axis-label')
            .attr('y', -60)
            .style('text-anchor', 'middle')
            .merge(yAxisG.select('.axis-label'))
            .attr('x', -innerHeight / 2)
            .attr('transform', `rotate(-90)`)
            .text(yLabel);

colorLegendGEnter
            .append('text')
            .attr('class', 'legend-label')
            .attr('x', -30)
            .attr('y', -40)
            .merge(colorLegendG.select('legend-label'))
            .text(colorLabel);

const xScale = d3.scaleLog();
        const yScale = d3.scaleLinear();
        const rScale = d3.scaleSqrt();
        const colorScale = d3.scaleOrdinal()
            .range(d3.schemeCategory10);

const xAxis = d3.axisBottom()
            .scale(xScale)
            .ticks(11, ",.1s")
            .tickPadding(15)
            .tickSize(-innerHeight);

const yAxis = d3.axisLeft()
            .scale(yScale)
            .ticks(5)
            .tickPadding(15)
            .tickSize(-innerWidth);

const colorLegend = d3.legendColor()
            .scale(colorScale)
            .shape('circle');

const row = d => {
            d.income = +d.income;
            d.health = +d.health;
            d.population = +d.population;
            return d;
        };

function render(data) {
            xScale
                .domain(d3.extent(data, xValue))
                .range([0, innerWidth])
                .nice;

yScale
                .domain(d3.extent(data, yValue))
                .range([innerHeight, 0])
                .nice();

rScale
                .domain(d3.extent(data, rValue))
                .range([4, 18]);

const circles = g.selectAll('.mark').data(data);

circles
                .enter().append('circle')
                .attr('class', 'mark')
                .merge(circles)
                .attr('cx', d => xScale(xValue(d)))
                .attr('cy', d => yScale(yValue(d)))
                .attr('fill', d => colorScale(colorValue(d)))
                .attr('fill-opacity', 0.6)
                .attr('r', d => rScale(rValue(d)));

xAxisG.call(xAxis);
            yAxisG.call(yAxis);

colorLegendG.call(colorLegend)
                .selectAll('.cell text')
                .attr('dy', '0.1em');
        }

d3.csv('income_health.csv', row, render);
    }

redraw();

window.addEventListener("resize", redraw);

</script>
</body>
</html>

https://d3js.org/d3.v4.min.js

https://cdnjs.cloudflare.com/ajax/libs/d3-legend/2.24.0/d3-legend.min.js