Google 可视化仪表板错误

Question

我正在尝试使用 Google 可视化工具创建仪表板，但我遇到了一些问题。

我引入了所有文本数据，并通过在 ChartWrapper 中设置计算属性来动态计算图表数据，当数据 table 准备就绪时，我调用一个函数设置图表的视图。完整代码如下。

我遇到的问题是：

当我使用控件过滤 table 时出现无效行索引错误。一旦设置了视图并重新绘制了图表，这些就会消失，但 "One or more participants failed to draw()" 错误仍然存在。
首次加载时，图表显示设置视图之前的原始数据。
我 return 带有数字的文本数据（即“1. Male”），因此列排序正确，但我不想在图表中看到数字。知道如何清理标签吗？

如有任何帮助，我们将不胜感激。如果您对处理此类数据的更好方法有任何建议，我会洗耳恭听。

我创建了一个 fiddle：https://jsfiddle.net/kq8fcdee/1/

完整代码：

<!DOCTYPE html>
<html>
<head>
<title></title>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>

<style>
#table_div{display:none;}
.chart_div{display:inline-block;border:1px solid #888;margin-right:10px;}
</style>

</head>
<body>

<!--Div that will hold the dashboard-->
<div id="dashboard_div">
  <!--Divs that will hold each control and chart-->
  <div id="filter_div"></div>
  <div id="table_div"></div>
</div>


<script>

var data=
[
["Gender","Last time","Origin\/transfer","How arrived","Reason for flight","Section","Shop concessions","Purchase merchandise","Purchase services","Connect to WIFI","Overall experience","Country","Age group","Zip code","Education","Employment Status","Employment Status Group","Household income","Hispanic","Race","2. Children"],
["1. Male","3. 1-2 years","1. Starting","8. Other","3. Other","1. First\/Business","1. Yes","2. No","1. Yes","2. No","4. Very good","2. Other","5. 45-54",75201,"5. College degree","4. Student","2. Not Employed","4. 100k - 150k","1. Yes","4. Native American \/ American Indian","1. No children"],
["2. Female","2. 6-12 months","2. Connection","1. Drove self","1. Business","1. First\/Business","2. No","1. Yes","1. Yes","1. Yes","4. Very good","1. USA","3. 26-34",32003,"4. Some college","2. Part-time","1. Employed","2. 40k - 75k","1. Yes","2. Black \/ African American","1. No children"],
["1. Male","2. 6-12 months","2. Connection","5.R ental","2. Leisure","2. Economy\/Coach","1. Yes","2. No","1. Yes","2. No","4. Very good","1. USA","5. 45-54",64101,"4. Some college","5. Homemaker","2. Not Employed","5. 150k+","1. Yes","5. Other","1. No children"],
["2. Female","2. 6-12 months","2. Connection","1. Drove self","2. Leisure","1. First\/Business","2. No","2. No","1. Yes","2. No","4. Very good","1. USA","5. 45-54",75201,"2. Some HS","4. Student","2. Not Employed","4. 100k - 150k","2. No","4. Native American \/ American Indian","Children"],
["2. Female","2. 6-12 months","2. Connection","5.R ental","2. Leisure","2. Economy\/Coach","1. Yes","2. No","1. Yes","2. No","4. Very good","1. USA","2. 22-25",84101,"4. Some college","4. Student","2. Not Employed","4. 100k - 150k","1. Yes","4. Native American \/ American Indian","1. No children"],
["2. Female","5. 3+ years","1. Starting","4. Bus\/shuttle","2. Leisure","1. First\/Business","2. No","2. No","2. No","1. Yes","4. Very good","2. Other","3. 26-34",32003,"5. College degree","6. Unemployed not looking","2. Not Employed","6. Refused","2. No",null,"1. No children"],
["2. Female","4. 2-3 years","1. Starting","8. Other","3. Other","2. Economy\/Coach","2. No","2. No","2. No","2. No","1. Poor","2. Other","6. 55-64",99501,"4. Some college","3. Retired","2. Not Employed","3. 75k - 100k","2. No","3. Asian","1. No children"],
["2. Female","5. 3+ years","1. Starting","5.R ental","3. Other","1. First\/Business","2. No","1. Yes","2. No","1. Yes","1. Poor","1. USA","1. 16-21",15668,"4. Some college","1. Full-time","1. Employed","1. < 40k","2. No","1. White \/ Caucasian","1. No children"]
];


var proc = function(){
    //get the data from the server (php that gets data from mysql and reruns json array
    //$.getJSON('getdata.php',function(data) {

        //load the library
        google.charts.load('current', {'packages':['corechart', 'controls']});

        //function that is called when libary loaded
        google.charts.setOnLoadCallback(function() {

            nCols=data[0].length;
            charts=[];
            data = google.visualization.arrayToDataTable(data);
            dashboard = new google.visualization.Dashboard(document.getElementById('dashboard_div'));

            //create Gender filter
            var genderSelection = new google.visualization.ControlWrapper({
                'controlType': 'CategoryFilter',
                'containerId': 'filter_div',
                'options': {
                    'filterColumnLabel': 'Gender',
                }
            });

            //create the table
            var table = new google.visualization.ChartWrapper({
                'chartType': 'Table',
                'dataTable':data,
                'containerId': 'table_div',
                'options': {'width': '800px'}
            });

            //create the charts (one chart for each column in the table)
            for(qidx=0;qidx < nCols;qidx++) {

                var createChart = function(qidx) {

                    //add place for chart
                    $('#dashboard_div').append('<div class="chart_div" id="chart'+qidx+'_div"></div>');

                    //create chart
                    charts[qidx] = new google.visualization.ChartWrapper({
                        'chartType': 'ColumnChart',
                        'containerId': 'chart'+qidx+'_div',
                        'options': {
                            'title': data.getColumnLabel(qidx),
                            'xwidth': 400,
                            'xheight': 300,
                            'vAxis': {
                                'minValue': 0,
                                'maxValue': 100
                            },
                            'chartArea': {
                                'width': '80%',
                                'height': '60%',
                                'top': 30,
                             },
                            'legend':'bottom'
                        },
                        'view': {
                            'columns': [qidx, {calc:function(dataTable, rowNum) {
                                var curr_stat = dataTable.getValue(rowNum,qidx);
                                var distinct_values = dataTable.getDistinctValues(qidx);
                                var count = 0;
                                var numRows=dataTable.getNumberOfRows();

                                for (var ii=0; ii<numRows; ii++) {
                                    stat = dataTable.getValue(ii,qidx);
                                    if (stat == curr_stat) {
                                        count++;
                                    }
                                }
                                return count/numRows*100; //return percentage
                            }, type:'number', label: '1Q'}]
                        }
                    });

                }(qidx);
            }

            //set the rows of the chart
            function setChartRows () {

                //loop though the charts
                for(qidx=0;qidx < nCols;qidx++) {

                    var dt = charts[qidx].getDataTable();
                    var rows = dt.getNumberOfRows();
                    var distinct_values = dt.getDistinctValues(qidx);
                    var arRows = [];

                    for (var ii=0; ii<distinct_values.length; ii++) {
                        for (var jj=0; jj<rows; jj++) {
                            var curr_stat = dt.getValue(jj,qidx);
                            if (curr_stat == distinct_values[ii]) {
                                arRows.push(jj);
                                break;
                            }
                        }
                    }

                    var view = charts[qidx].getView() || {};
                    view.rows = arRows;
                    charts[qidx].setView(view);
                    charts[qidx].draw();

                }
            }

            //when the table is created/changed update the chart
            google.visualization.events.addListener(table, 'ready', setChartRows);

            charts.push(table);
            dashboard.bind(genderSelection, charts);
            dashboard.draw(data);

        });
    //});

};

//run
proc();

//refresh every 5 minutes
var run = setInterval(proc,300000)

</script>

</body>
</html>

Answer 1

1 & 2) 这些问题可以通过断开 charts 与 dashboard

的连接来纠正

当 'ready' 事件在 table、
上触发时，charts 可以独立绘制使用来自 table 图表

的过滤数据

这将防止错误和初始原始数据在首次加载时被绘制

3) 要自定义排序标签，请在数据数组中使用对象表示法 {}

数据中的每个单元格 table 必须有一个值 (v:),
并且可选地，可以具有格式化值 (f:)

在数据数组中，而不是使用 --> "1. Male"

改用对象表示法 --> {v: "1", f: "Male"}

注意：图表默认显示格式化值

但是，必须在 CategoryFilter

上设置两个选项

设置选项 --> useFormattedValue: true -- 在控件中显示格式化值

设置选项 --> ui.sortValues: false -- 显示在数据中找到的类别

请参阅以下工作片段

数据中的前两列已更新为使用如上所述的对象表示法...

//load the library
google.charts.load('current', {
  callback: function () {
    var data = [
      ["Gender","Last time","Origin\/transfer","How arrived","Reason for flight","Section","Shop concessions","Purchase merchandise","Purchase services","Connect to WIFI","Overall experience","Country","Age group","Zip code","Education","Employment Status","Employment Status Group","Household income","Hispanic","Race","2. Children"],
      [{v: "1", f: "Male"},{v: "3", f: "1-2 years"},"1. Starting","8. Other","3. Other","1. First\/Business","1. Yes","2. No","1. Yes","2. No","4. Very good","2. Other","5. 45-54",75201,"5. College degree","4. Student","2. Not Employed","4. 100k - 150k","1. Yes","4. Native American \/ American Indian","1. No children"],
      [{v: "2", f: "Female"},{v: "2", f: "6-12 months"},"2. Connection","1. Drove self","1. Business","1. First\/Business","2. No","1. Yes","1. Yes","1. Yes","4. Very good","1. USA","3. 26-34",32003,"4. Some college","2. Part-time","1. Employed","2. 40k - 75k","1. Yes","2. Black \/ African American","1. No children"],
      [{v: "1", f: "Male"},{v: "2", f: "6-12 months"},"2. Connection","5.R ental","2. Leisure","2. Economy\/Coach","1. Yes","2. No","1. Yes","2. No","4. Very good","1. USA","5. 45-54",64101,"4. Some college","5. Homemaker","2. Not Employed","5. 150k+","1. Yes","5. Other","1. No children"],
      [{v: "2", f: "Female"},{v: "2", f: "6-12 months"},"2. Connection","1. Drove self","2. Leisure","1. First\/Business","2. No","2. No","1. Yes","2. No","4. Very good","1. USA","5. 45-54",75201,"2. Some HS","4. Student","2. Not Employed","4. 100k - 150k","2. No","4. Native American \/ American Indian","Children"],
      [{v: "2", f: "Female"},{v: "2", f: "6-12 months"},"2. Connection","5.R ental","2. Leisure","2. Economy\/Coach","1. Yes","2. No","1. Yes","2. No","4. Very good","1. USA","2. 22-25",84101,"4. Some college","4. Student","2. Not Employed","4. 100k - 150k","1. Yes","4. Native American \/ American Indian","1. No children"],
      [{v: "2", f: "Female"},{v: "5", f: "3+ years"},"1. Starting","4. Bus\/shuttle","2. Leisure","1. First\/Business","2. No","2. No","2. No","1. Yes","4. Very good","2. Other","3. 26-34",32003,"5. College degree","6. Unemployed not looking","2. Not Employed","6. Refused","2. No",null,"1. No children"],
      [{v: "2", f: "Female"},{v: "4", f: "2-3 years"},"1. Starting","8. Other","3. Other","2. Economy\/Coach","2. No","2. No","2. No","2. No","1. Poor","2. Other","6. 55-64",99501,"4. Some college","3. Retired","2. Not Employed","3. 75k - 100k","2. No","3. Asian","1. No children"],
      [{v: "2", f: "Female"},{v: "5", f: "3+ years"},"1. Starting","5.R ental","3. Other","1. First\/Business","2. No","1. Yes","2. No","1. Yes","1. Poor","1. USA","1. 16-21",15668,"4. Some college","1. Full-time","1. Employed","1. < 40k","2. No","1. White \/ Caucasian","1. No children"]
    ];

    nCols=data[0].length;
    charts=[];
    data = google.visualization.arrayToDataTable(data);
    dashboard = new google.visualization.Dashboard(document.getElementById('dashboard_div'));

    //create Gender filter
    var genderSelection = new google.visualization.ControlWrapper({
      'controlType': 'CategoryFilter',
      'containerId': 'filter_div',
      'options': {
        'filterColumnLabel': 'Gender',
        'useFormattedValue': true,
        'ui': {
          'sortValues': false
        }
      }
    });

    //create the table
    var table = new google.visualization.ChartWrapper({
      'chartType': 'Table',
      'dataTable': data,
      'containerId': 'table_div',
      'options': {'width': '800px'}
    });

    //create the charts
    for(qidx=0;qidx < nCols;qidx++) {
      var createChart = function(qidx) {
        //add place for chart
        $('#dashboard_div').append('<div class="chart_div" id="chart'+qidx+'_div"></div>');

        //create chart
        charts[qidx] = new google.visualization.ChartWrapper({
          'chartType': 'ColumnChart',
          'containerId': 'chart'+qidx+'_div',
          'options': {
            'title': data.getColumnLabel(qidx),
            'xwidth': 400,
            'xheight': 300,
            'vAxis': {
              'minValue': 0,
              'maxValue': 100
            },
            'chartArea': {
              'width': '80%',
              'height': '60%',
              'top': 30,
             },
            'legend':'bottom'
          },
          'view': {
            'columns': [qidx, {calc:function(dataTable, rowNum) {
              var curr_stat = dataTable.getValue(rowNum,qidx);
              var distinct_values = dataTable.getDistinctValues(qidx);
              var count = 0;
              var numRows=dataTable.getNumberOfRows();

              for (var ii=0; ii<numRows; ii++) {
                stat = dataTable.getValue(ii,qidx);
                if (stat == curr_stat) {
                  count++;
                }
              }
              return count/numRows*100; //return percentage
            }, type:'number', label: '1Q'}]
          }
        });
      }(qidx);
    }

    //set the rows of the chart
    function setChartRows (dt) {
      //loop though the charts
      for(qidx=0;qidx < nCols;qidx++) {
        var rows = dt.getNumberOfRows();
        var distinct_values = dt.getDistinctValues(qidx);
        var arRows = [];

        for (var ii=0; ii<distinct_values.length; ii++) {
          for (var jj=0; jj<rows; jj++) {
            var curr_stat = dt.getValue(jj,qidx);
            if (curr_stat == distinct_values[ii]) {
              arRows.push(jj);
              break;
            }
          }
        }

        var view = charts[qidx].getView() || {};
        view.rows = arRows;
        charts[qidx].setDataTable(dt);
        charts[qidx].setView(view);
        charts[qidx].draw();
      }
    }

    //when the table is created/changed update the chart
    google.visualization.events.addListener(table, 'ready', function () {
      setChartRows(table.getDataTable());
    });

    dashboard.bind(genderSelection, table);
    dashboard.draw(data);
  },
  packages: ['corechart', 'controls']
});

#table_div{display:none;}
.chart_div{display:inline-block;border:1px solid #888;margin-right:5px;}

<script src="https://www.gstatic.com/charts/loader.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<div id="dashboard_div">
  <div id="filter_div"></div>
  <div id="table_div"></div>
</div>

Google 可视化仪表板错误

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