IMDB Responding to Resize

This data is of 1,000 most popular movies on IMDB in the last 10 years. .

This data set contains 1,000 most popular movies on IMDB in the last 10 years. Inspired by Stylized Scatter Plot with Color Legend. forked from curran's block: Stylized Scatter Plot with Color Legend

To experience the resize behavior, run this example full-screen and resize the browser.

forked from curran's block: Responding to Resize

<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>Dynamic Size Example</title>
    <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>
    <style>

/* Make the chart container fill the page using CSS. */
      #chart {
        position: fixed;
        left: 0px;
        right: 0px;
        top: 0px;
        bottom: 0px;
      }
    </style>
  </head>
  <body>

function redraw(){

// Extract the width and height that was computed by CSS.
        var width = chartDiv.clientWidth;
        var height = chartDiv.clientHeight;

// Use the extracted size to set the size of an SVG element.
        svg
          .attr("width", width)
          .attr("height", height);

// Draw an X to show that the size is correct.
        
      
      const innerWidth = width - margin.left - margin.right;
      const innerHeight = height - margin.top - margin.bottom;

xAxisG
          .attr('transform', `translate(0, ${innerHeight})`);
      
      
      colorLegendG
          .attr('transform', `translate(${innerWidth + 60}, 32)`);

x_label
          .attr('class', 'axis-label')
          .attr('x', innerWidth / 2)
          .attr('y', innerHeight+40)
          .text(xLabel);

y_label
          .attr('class', 'axis-label')
          .attr('x', -innerHeight / 2)
          .attr('y', -innerWidth/8)
          .attr('transform', `rotate(-90)`)
          .style('text-anchor', 'middle')
          .text(yLabel);

color_legend
              .attr('x', 3)
              .attr('y', -20)
              .text(colorLabel);

const xAxis = d3.axisBottom()
        .scale(xScale)
        .tickPadding(15)
        .tickSize(-innerHeight);

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

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

d3.csv('data.csv', data => {
        xScale
          .domain(d3.extent(data, xValue))
          .range([0, innerWidth])
          .nice();

yScale
          .domain(d3.extent(data, yValue))
          .range([innerHeight, 0])
          .nice();
        var circles = d3.select('g').selectAll('circle').data(data)
            
        circles.exit().remove();

circles
              .enter().append('circle')
            		.attr('fill', d => colorScale(colorValue(d)))
            		.merge(circles)
                .attr('cx', d => xScale(xValue(d)))
                .attr('cy', d => yScale(yValue(d)))
            .attr('fill-opacity', 0.5)
            .attr('r', d => zValue(d)/15);

xAxisG.call(xAxis);
        yAxisG.call(yAxis);
        colorLegendG.call(colorLegend)
          .selectAll('.cell text');
            
      })};

// Draw for the first time to initialize.
      redraw();

// Redraw based on the new size whenever the browser window is resized.
      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