final/index.html at main · karoad/final · GitHub

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<script src="https://d3js.org/d3.v6.min.js"></script>
<svg id="frame"></svg>

<style>
</style>

<body>
  <select id="selectButton"></select>
</body>

<script>


  var listCsv = ["./data/TotalDiningEmployees.csv", "./data/UnemploymentData.csv", "./data/USAWEeklyAverageHours.csv"];
  var listPromises = []
  for (var i = 0; i < listCsv.length; i++)
  {
      const promise = new Promise((resolve, reject) => {
          resolve(d3.csv(listCsv[i]));
      });
      listPromises.push(promise);
  }

  var width = 540;
    var height = 300;
    var minIncome = 1;


    var margin = {top: 10, right: 30, bottom: 30, left: 60};
    width = width - margin.left - margin.right,
    height = height - margin.top - margin.bottom;

    //setup body area and axis
    var scatterSvg = d3.select("body").append("svg")
        .attr("id", "scatterPlot")
        .attr("width", width + margin.left + margin.right)
        .attr("height", height + margin.top + margin.bottom)
        .append("g")
        .attr("transform",
            "translate(" + margin.left + "," + margin.top + ")");

    var xscaleScatter = d3.scaleLinear()
    .domain([1, 12])
    .range([0, width]);

    var xAxis = scatterSvg.append("g")
    .attr("transform", "translate(0," + height + ")")
    .call(d3.axisBottom(xscaleScatter));

    var yscaleScatterTotalEmployees = d3.scaleLinear()
        .domain([6000,13000])
        .range([height, 0]);

    var yscaleScatterUnemployment = d3.scaleLinear()
      .domain([1, 35])
      .range([height, 0]);

    var yscaleScatterHoursWorked = d3.scaleLinear()
      .domain([20, 27])
      .range([height, 0]);
    var yAxis = scatterSvg.append("g")
    .call(d3.axisLeft(yscaleScatterTotalEmployees));

  var totalEmployeesData;
  var totalEmployeesLine;
  var unemploymentData;
  var unemploymentLine;
  var avgWeeklyHours;
  var avgWeeklyHoursLine;

  Promise.all(listPromises).then((values) => {
    totalEmployeesData = separateData(values[0]);
    totalEmployeesLine = createLineData(values[0]);
    unemploymentData = separateData(values[1]);
    unemploymentLine = createLineData(values[1]);
    avgWeeklyHours = separateData(values[2]);
    avgWeeklyHoursLine = createLineData(values[2]);

    //onsole.log(totalEmployeesData);
    //console.log(totalEmployeesLine);
    //console.log(unemploymentData);
    //console.log(avgWeeklyHours);

    //console.log(totalEmployeesData.columns);

    //idea: line chart that is highlightable on mouseover,
    //overlaid years selectable by years
    //also points that bring up the value and maybe a tooltip with a comment?

    //example 1: Total Employees data
    //start with the data points, should be all overlaid


    var allGroup = ["Total Employees", "Unemployment", "Average Weekly Hours"];

    // add the options to the button
    d3.select("#selectButton")
      .selectAll('myOptions')
     	.data(allGroup)
      .enter()
    	.append('option')
      .text(function (d) { return d; }) // text showed in the menu
      .attr("value", function (d) { return d; });


    updatePoints(totalEmployeesData, totalEmployeesLine, xscaleScatter, yscaleScatterTotalEmployees);


  });

  function updatePoints(data, line, xscaleScatter, yscaleScatter) {
    //data points
    scatterSvg.selectAll("circle").remove();
    scatterSvg
      .selectAll("dot")
      .data(data)
      .enter()
      .append("circle")
      .attr("id", function(d,i) { return "scatter"+ d[4]})
      .attr('cx', function(d, i){
          //depends on the month
          return xscaleScatter(d[1]);
      })
      .attr('cy', function(d){
          //depends on the actual val
          return yscaleScatter(d[2]);
      })
      .attr("r", 3)
      .style("fill", "#FFFFFF")
      .style("opacity", function(d){return 1;})
      .attr("stroke", "black")
      .attr("stroke-width", function(d){
          return 1;
      })
      .on('mouseover', function(mouseEvent, val) {
          //display datapoint info somewhere
          d3.select(this).attr('stroke-width', 2).attr('stroke', 'black');
      })
      .on('mouseout', function(mouseEvent, val) {
        //consider undoing the above
        d3.select(this).attr('stroke-width', 1).attr('stroke', 'black');
      });

      scatterSvg.selectAll("path").remove();
      //credit https://www.d3-graph-gallery.com/graph/line_basic.html
      for (var i = 0; i < line.length; i++) {
        var lineGenerator = d3.line();
        var lineData = []
        var currRow =  line[i][1];
        var currYear = line[i][0];
        for (var j = 0; j < line[i][1].length; j++) {
          lineData.push([xscaleScatter(currRow[j][0]), yscaleScatter(currRow[j][1])]);
        }
        var pathData = lineGenerator(lineData);
        scatterSvg.append("path")
        //.transition()
        //.duration(1000)
        .attr("d", pathData)
        .attr("stroke", "black")
        .attr("stroke", "gray")
        .attr("stroke-width", 3)
        .style("opacity", function(d){return 0.7;})
        .attr("fill", "none")
        .on('mouseover', function(mouseEvent, val) {
          //display datapoint info somewhere
          d3.select(this).attr('stroke-width', 7).attr('stroke', 'steelblue').style("opacity", function(d){return 1;});
        })
        .on('mouseout', function(mouseEvent, val) {
          //consider undoing the above
          d3.select(this).attr('stroke-width', 3).attr('stroke', 'gray').style("opacity", function(d){return 0.7;});
        });
      }
  }

  d3.select("#selectButton").on("change", function(d) {
        // recover the option that has been chosen
        var selectedOption = d3.select(this).property("value")
        // run the updateChart function with this selected option
        if (selectedOption == "Total Employees"){ yAxis.call(d3.axisLeft(yscaleScatterTotalEmployees)); updatePoints(totalEmployeesData, totalEmployeesLine, xscaleScatter, yscaleScatterTotalEmployees); }
        else if (selectedOption == "Unemployment") {yAxis.call(d3.axisLeft(yscaleScatterUnemployment)); updatePoints(unemploymentData, unemploymentLine, xscaleScatter, yscaleScatterUnemployment);}
        else { yAxis.call(d3.axisLeft(yscaleScatterHoursWorked)); updatePoints(avgWeeklyHours, avgWeeklyHoursLine, xscaleScatter, yscaleScatterHoursWorked);}
       }); // corresponding value returned by the button

  function separateData(dataIn) {
    //function separates the data in format:
    //Each row is a year
    //each col is a month
    //each cell is a val
    //and changes it into:
    //everything is one row
    //each index is [year, month, val]
    var listOfEverything = [];
    for (var i = 0; i < dataIn.length; i ++) {
      var year = dataIn[i]["Year"];
      count = 1;
      for (var key in dataIn[i]) {
        if (parseInt(dataIn[i][key]) != NaN && dataIn[i][key] != "" && key != "Year") {
          listOfEverything.push([year, count, parseInt(dataIn[i][key])]);
          count += 1;
        }
      }
    }
    return listOfEverything;
  }

  function createLineData(dataIn) {
    //function separates the data in format:
    //Each row is a year
    //each col is a month
    //each cell is a val
    //and changes it into:
    //each year is a row
    //each index is [month, val]
    var listOfEverything = [];
    for (var i = 0; i < dataIn.length; i ++) {
      var year = dataIn[i]["Year"];
      var listYear = [];
      count = 1;
      for (var key in dataIn[i]) {
        if (parseInt(dataIn[i][key]) != NaN && dataIn[i][key] != "" && key != "Year") {
          listYear.push([count, parseInt(dataIn[i][key])]);
          count += 1;
        }
      }
      listOfEverything.push([year, listYear]);
    }
    return listOfEverything;
  }


</script>