Google 条形图 - Table 图表的自定义图例文本,带有总值和列式总计
Google Bar Chart - custom Legend text with total values & column wise total for Table chart
我想获得 Stacked Bar Graph Legend 中 Grades 的总值。附上图片我想拥有...用于以下工作片段。
还有 Table 图表的按列总计...
我认为这可以通过以下方式完成,但如何完成..
data.setFormattedValue(i, 0, key + ' (' + val + ')');
可以有这样的东西..当鼠标悬停在 Bar 上的一个位置时...需要在单个注释中显示所有成绩值..??
是否可以像下图那样在突出显示的地方设置不同的值?圆圈 B 是图中 Grade1 的总和是正确的。和圆圈 A,工具提示总数应显示每个等级注释的特定位置总数,如下所示。
['Location', 'Company', 'Grade1',{ role: 'annotation' }, 'Grade2',{ role: 'annotation' }, 'Grade3',{ role: 'annotation' }, 'Bal-Grade', 'Total', { role: 'annotation' } ],
google.charts.load('current', {
packages: ['corechart', 'table', 'gauge', 'controls']
}).then(function () {
drawMainDashboard();
});
function drawMainDashboard() {
var dashboard = new google.visualization.Dashboard(
document.getElementById('dashboard_division1'));
var categoryPicker = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div',
'options': {
'filterColumnIndex': 1,
'ui': {
'labelStacking': 'vertical',
'label': 'Company Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var categoryPicker1 = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div1',
'options': {
'filterColumnIndex': 0,
'ui': {
'labelStacking': 'vertical',
'label': 'Location Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var columnchrt = new google.visualization.ChartWrapper({
'chartType': 'ColumnChart',
'containerId': 'chart_div',
'options': {
title: "Locations charts",
width: 850,
height: 500,
legend: { position: 'top', maxLines: 2 },
bar: { groupWidth: '70%' },
isStacked: true,
focusTarget: 'category',
aggregationTarget: 'category',
explorer: {keepInBounds: true, maxZoomIn: 10.0}
}
});
var table = new google.visualization.ChartWrapper({
'chartType': 'Table',
'containerId': 'table_div',
'options': {
showRowNumber: true,
width: '100%',
height: '100%',
allowHtml: true
},
'view': {'columns': [0,1,2,3,4,5,6]}
});
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
function calcTotals() {
// get filtered data table from table chart
var dt = table.getDataTable();
// build aggregation and view columns
var aggColumns = [];
var viewColumns = [0];
for (var i = 2; i < dt.getNumberOfColumns(); i++) {
if (i !== dt.getNumberOfColumns() - 1) {
if (dt.getColumnType(i) === 'number') {
if (dt.getColumnRole(i) !== 'annotation') {
addAggColumn(i);
if (i !== dt.getNumberOfColumns() - 2) {
viewColumns.push(i - 1);
}
}
}
}
}
function addAggColumn(index) {
aggColumns.push({
aggregation: google.visualization.data.sum,
column: index,
label: dt.getColumnLabel(index),
type: dt.getColumnType(index)
});
}
// aggregate data table
var agg = google.visualization.data.group(
dt,
[0],
aggColumns
);
var aggTotal = google.visualization.data.group(
dt,
[{
column: 0,
label: 'Total',
modifier: function (val) {
return 'Total';
},
type: 'string'
}],
aggColumns
);
dt = dt.toDataTable();
dt.addRow(['Total', '--', aggTotal.getValue(0, 1), aggTotal.getValue(0, 2), aggTotal.getValue(0, 3), aggTotal.getValue(0, 4), aggTotal.getValue(0, 5), null]);
table.setDataTable(dt);
table.draw();
viewColumns.push({
calc: function (dt, row) {
var total = 0;
for (var c = 1; c < dt.getNumberOfColumns(); c++) {
if (dt.getColumnLabel(c) !== 'Total') {
total += dt.getValue(row, c);
}
}
return total.toFixed(0);
},
role: 'annotation',
type: 'string'
});
// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
var viewLabel = view.getColumnLabel(vc);
for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
var aggLabel = agg.getColumnLabel(ac);
if (viewLabel === aggLabel) {
view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
}
}
}
// draw chart
columnchrt.setDataTable(view);
columnchrt.draw();
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
}
var data = google.visualization.arrayToDataTable([
['Location', 'Company', 'Grade1', 'Grade2', 'Grade3', 'Bal-Grade', 'Total', { role: 'annotation' } ],
['NYC', 'CUSTOMERS', 0, 0, 13, 5, 19, 29],
['CALI', 'ORG', 270, 210, 0, 32, 51, 60],
['CALI', 'CUSTOMERS', 35.942, 39, 0, 50, 126, 150],
['WDC', 'CUSTOMERS', 0, 0, 35, 52, 88, 100],
['WDC', 'CUSTOMERS', 44.507, 0, 25, 18, 88, 110],
['NJ', 'ORG', 0, 0, 54, 22, 28, 45],
['TXS', 'CUSTOMERS', 0, 0, 0, 10, 11, 20]
]);
dashboard.bind([categoryPicker,categoryPicker1], [table]);
dashboard.draw(data);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard_division" style="clear:left; display:inline-block; width:100%; float:left; margin-top:5px;">
<div class="float_left panel" style="float:left; width:50%; padding:0px;">
<div id="chart_div"></div>
</div>
<div class="float_left panel" style="width:50%; padding:0px;">
<div class="table_bbar" style="background-color:#27ae60;" >
<div id="categoryPicker_div" style="right:15px; position:absolute;"></div>
<div id="categoryPicker_div1" ></div>
</div>
<div id="table_div"></div>
</div>
</div>
获取 table 图表的总行,
我们可以在聚合中使用 modifier
函数。
我们按位置聚合一次,
然后再一共。
修饰函数允许我们return每一行的相同值,
从而给我们所有行的总数。
然后我们可以将总agg的结果添加到位置agg。
// aggregate data table
var agg = google.visualization.data.group(
dt,
[0],
aggColumns
);
var aggTotal = google.visualization.data.group(
dt,
[{
column: 0,
label: 'Total',
modifier: function (val) {
return 'Total';
},
type: 'string'
}],
aggColumns
);
var rowIndex = agg.addRow();
for (var i = 0; i < agg.getNumberOfColumns(); i++) {
agg.setValue(rowIndex, i, aggTotal.getValue(0, i));
}
然后我们可以使用聚合总数据table来设置柱形图图例中的标签。
// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
var viewLabel = view.getColumnLabel(vc);
for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
var aggLabel = agg.getColumnLabel(ac);
if (viewLabel === aggLabel) {
view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
}
}
}
另一个细微的变化,因为我们在 'ready'
事件中重新绘制图表,
我们必须使用一次性事件,否则我们将进入无限循环。
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
请参阅以下工作片段...
google.charts.load('current', {
packages: ['corechart', 'table', 'gauge', 'controls']
}).then(function () {
drawMainDashboard();
});
function drawMainDashboard() {
var dashboard = new google.visualization.Dashboard(
document.getElementById('dashboard_division1'));
var categoryPicker = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div',
'options': {
'filterColumnIndex': 1,
'ui': {
'labelStacking': 'vertical',
'label': 'Company Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var categoryPicker1 = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div1',
'options': {
'filterColumnIndex': 0,
'ui': {
'labelStacking': 'vertical',
'label': 'Location Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var columnchrt = new google.visualization.ChartWrapper({
'chartType': 'ColumnChart',
'containerId': 'chart_div',
'options': {
title: "Locations charts",
width: 850,
height: 500,
legend: { position: 'top', maxLines: 2 },
bar: { groupWidth: '70%' },
isStacked: true,
explorer: {keepInBounds: true, maxZoomIn: 10.0}
}
});
var table = new google.visualization.ChartWrapper({
'chartType': 'Table',
'containerId': 'table_div',
'options': {
showRowNumber: true,
width: '100%',
height: '100%',
allowHtml: true
},
'view': {'columns': [0,1,2,3,4,5,6]}
});
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
function calcTotals() {
// get filtered data table from table chart
var dt = table.getDataTable();
// build aggregation and view columns
var aggColumns = [];
var viewColumns = [0];
for (var i = 2; i < dt.getNumberOfColumns(); i++) {
if (i !== dt.getNumberOfColumns() - 1) {
if (dt.getColumnType(i) === 'number') {
if (dt.getColumnRole(i) !== 'annotation') {
addAggColumn(i);
if (i !== dt.getNumberOfColumns() - 2) {
viewColumns.push(i - 1);
}
}
}
}
}
function addAggColumn(index) {
aggColumns.push({
aggregation: google.visualization.data.sum,
column: index,
label: dt.getColumnLabel(index),
type: dt.getColumnType(index)
});
}
// aggregate data table
var agg = google.visualization.data.group(
dt,
[0],
aggColumns
);
var aggTotal = google.visualization.data.group(
dt,
[{
column: 0,
label: 'Total',
modifier: function (val) {
return 'Total';
},
type: 'string'
}],
aggColumns
);
dt = dt.toDataTable();
dt.addRow(['Total', '--', aggTotal.getValue(0, 1), aggTotal.getValue(0, 2), aggTotal.getValue(0, 3), aggTotal.getValue(0, 4), aggTotal.getValue(0, 5), null]);
table.setDataTable(dt);
table.draw();
viewColumns.push({
calc: function (dt, row) {
var total = 0;
for (var c = 1; c < dt.getNumberOfColumns(); c++) {
if (dt.getColumnLabel(c) !== 'Total') {
total += dt.getValue(row, c);
}
}
return total.toFixed(0);
},
role: 'annotation',
type: 'string'
});
// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
var viewLabel = view.getColumnLabel(vc);
for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
var aggLabel = agg.getColumnLabel(ac);
if (viewLabel === aggLabel) {
view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
}
}
}
// draw chart
columnchrt.setDataTable(view);
columnchrt.draw();
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
}
var data = google.visualization.arrayToDataTable([
['Location', 'Company', 'Grade1', 'Grade2', 'Grade3', 'Bal-Grade', 'Total', { role: 'annotation' } ],
['NYC', 'CUSTOMERS', 0, 0, 13, 5, 19, 19],
['CALI', 'ORG', 270, 210, 0, 32, 51, 51],
['CALI', 'CUSTOMERS', 35.942, 39, 0, 50, 126, 126],
['WDC', 'CUSTOMERS', 0, 0, 35, 52, 88, 88],
['WDC', 'CUSTOMERS', 44.507, 0, 25, 18, 88, 88],
['NJ', 'ORG', 0, 0, 54, 22, 28, 28],
['TXS', 'CUSTOMERS', 0, 0, 0, 10, 11, 11]
]);
dashboard.bind([categoryPicker,categoryPicker1], [table]);
dashboard.draw(data);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard_division" style="clear:left; display:inline-block; width:100%; float:left; margin-top:5px;">
<div class="float_left panel" style="float:left; width:50%; padding:0px;">
<div id="chart_div"></div>
</div>
<div class="float_left panel" style="width:50%; padding:0px;">
<div class="table_bbar" style="background-color:#27ae60;" >
<div id="categoryPicker_div" style="right:15px; position:absolute;"></div>
<div id="categoryPicker_div1" ></div>
</div>
<div id="table_div"></div>
</div>
</div>
我想获得 Stacked Bar Graph Legend 中 Grades 的总值。附上图片我想拥有...用于以下工作片段。
还有 Table 图表的按列总计...
我认为这可以通过以下方式完成,但如何完成..
data.setFormattedValue(i, 0, key + ' (' + val + ')');
可以有这样的东西..当鼠标悬停在 Bar 上的一个位置时...需要在单个注释中显示所有成绩值..??
是否可以像下图那样在突出显示的地方设置不同的值?圆圈 B 是图中 Grade1 的总和是正确的。和圆圈 A,工具提示总数应显示每个等级注释的特定位置总数,如下所示。
['Location', 'Company', 'Grade1',{ role: 'annotation' }, 'Grade2',{ role: 'annotation' }, 'Grade3',{ role: 'annotation' }, 'Bal-Grade', 'Total', { role: 'annotation' } ],
google.charts.load('current', {
packages: ['corechart', 'table', 'gauge', 'controls']
}).then(function () {
drawMainDashboard();
});
function drawMainDashboard() {
var dashboard = new google.visualization.Dashboard(
document.getElementById('dashboard_division1'));
var categoryPicker = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div',
'options': {
'filterColumnIndex': 1,
'ui': {
'labelStacking': 'vertical',
'label': 'Company Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var categoryPicker1 = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div1',
'options': {
'filterColumnIndex': 0,
'ui': {
'labelStacking': 'vertical',
'label': 'Location Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var columnchrt = new google.visualization.ChartWrapper({
'chartType': 'ColumnChart',
'containerId': 'chart_div',
'options': {
title: "Locations charts",
width: 850,
height: 500,
legend: { position: 'top', maxLines: 2 },
bar: { groupWidth: '70%' },
isStacked: true,
focusTarget: 'category',
aggregationTarget: 'category',
explorer: {keepInBounds: true, maxZoomIn: 10.0}
}
});
var table = new google.visualization.ChartWrapper({
'chartType': 'Table',
'containerId': 'table_div',
'options': {
showRowNumber: true,
width: '100%',
height: '100%',
allowHtml: true
},
'view': {'columns': [0,1,2,3,4,5,6]}
});
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
function calcTotals() {
// get filtered data table from table chart
var dt = table.getDataTable();
// build aggregation and view columns
var aggColumns = [];
var viewColumns = [0];
for (var i = 2; i < dt.getNumberOfColumns(); i++) {
if (i !== dt.getNumberOfColumns() - 1) {
if (dt.getColumnType(i) === 'number') {
if (dt.getColumnRole(i) !== 'annotation') {
addAggColumn(i);
if (i !== dt.getNumberOfColumns() - 2) {
viewColumns.push(i - 1);
}
}
}
}
}
function addAggColumn(index) {
aggColumns.push({
aggregation: google.visualization.data.sum,
column: index,
label: dt.getColumnLabel(index),
type: dt.getColumnType(index)
});
}
// aggregate data table
var agg = google.visualization.data.group(
dt,
[0],
aggColumns
);
var aggTotal = google.visualization.data.group(
dt,
[{
column: 0,
label: 'Total',
modifier: function (val) {
return 'Total';
},
type: 'string'
}],
aggColumns
);
dt = dt.toDataTable();
dt.addRow(['Total', '--', aggTotal.getValue(0, 1), aggTotal.getValue(0, 2), aggTotal.getValue(0, 3), aggTotal.getValue(0, 4), aggTotal.getValue(0, 5), null]);
table.setDataTable(dt);
table.draw();
viewColumns.push({
calc: function (dt, row) {
var total = 0;
for (var c = 1; c < dt.getNumberOfColumns(); c++) {
if (dt.getColumnLabel(c) !== 'Total') {
total += dt.getValue(row, c);
}
}
return total.toFixed(0);
},
role: 'annotation',
type: 'string'
});
// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
var viewLabel = view.getColumnLabel(vc);
for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
var aggLabel = agg.getColumnLabel(ac);
if (viewLabel === aggLabel) {
view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
}
}
}
// draw chart
columnchrt.setDataTable(view);
columnchrt.draw();
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
}
var data = google.visualization.arrayToDataTable([
['Location', 'Company', 'Grade1', 'Grade2', 'Grade3', 'Bal-Grade', 'Total', { role: 'annotation' } ],
['NYC', 'CUSTOMERS', 0, 0, 13, 5, 19, 29],
['CALI', 'ORG', 270, 210, 0, 32, 51, 60],
['CALI', 'CUSTOMERS', 35.942, 39, 0, 50, 126, 150],
['WDC', 'CUSTOMERS', 0, 0, 35, 52, 88, 100],
['WDC', 'CUSTOMERS', 44.507, 0, 25, 18, 88, 110],
['NJ', 'ORG', 0, 0, 54, 22, 28, 45],
['TXS', 'CUSTOMERS', 0, 0, 0, 10, 11, 20]
]);
dashboard.bind([categoryPicker,categoryPicker1], [table]);
dashboard.draw(data);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard_division" style="clear:left; display:inline-block; width:100%; float:left; margin-top:5px;">
<div class="float_left panel" style="float:left; width:50%; padding:0px;">
<div id="chart_div"></div>
</div>
<div class="float_left panel" style="width:50%; padding:0px;">
<div class="table_bbar" style="background-color:#27ae60;" >
<div id="categoryPicker_div" style="right:15px; position:absolute;"></div>
<div id="categoryPicker_div1" ></div>
</div>
<div id="table_div"></div>
</div>
</div>
获取 table 图表的总行,
我们可以在聚合中使用 modifier
函数。
我们按位置聚合一次,
然后再一共。
修饰函数允许我们return每一行的相同值,
从而给我们所有行的总数。
然后我们可以将总agg的结果添加到位置agg。
// aggregate data table
var agg = google.visualization.data.group(
dt,
[0],
aggColumns
);
var aggTotal = google.visualization.data.group(
dt,
[{
column: 0,
label: 'Total',
modifier: function (val) {
return 'Total';
},
type: 'string'
}],
aggColumns
);
var rowIndex = agg.addRow();
for (var i = 0; i < agg.getNumberOfColumns(); i++) {
agg.setValue(rowIndex, i, aggTotal.getValue(0, i));
}
然后我们可以使用聚合总数据table来设置柱形图图例中的标签。
// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
var viewLabel = view.getColumnLabel(vc);
for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
var aggLabel = agg.getColumnLabel(ac);
if (viewLabel === aggLabel) {
view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
}
}
}
另一个细微的变化,因为我们在 'ready'
事件中重新绘制图表,
我们必须使用一次性事件,否则我们将进入无限循环。
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
请参阅以下工作片段...
google.charts.load('current', {
packages: ['corechart', 'table', 'gauge', 'controls']
}).then(function () {
drawMainDashboard();
});
function drawMainDashboard() {
var dashboard = new google.visualization.Dashboard(
document.getElementById('dashboard_division1'));
var categoryPicker = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div',
'options': {
'filterColumnIndex': 1,
'ui': {
'labelStacking': 'vertical',
'label': 'Company Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var categoryPicker1 = new google.visualization.ControlWrapper({
'controlType': 'CategoryFilter',
'containerId': 'categoryPicker_div1',
'options': {
'filterColumnIndex': 0,
'ui': {
'labelStacking': 'vertical',
'label': 'Location Selection:',
'allowTyping': false,
'allowMultiple': false
}
}
});
var columnchrt = new google.visualization.ChartWrapper({
'chartType': 'ColumnChart',
'containerId': 'chart_div',
'options': {
title: "Locations charts",
width: 850,
height: 500,
legend: { position: 'top', maxLines: 2 },
bar: { groupWidth: '70%' },
isStacked: true,
explorer: {keepInBounds: true, maxZoomIn: 10.0}
}
});
var table = new google.visualization.ChartWrapper({
'chartType': 'Table',
'containerId': 'table_div',
'options': {
showRowNumber: true,
width: '100%',
height: '100%',
allowHtml: true
},
'view': {'columns': [0,1,2,3,4,5,6]}
});
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
function calcTotals() {
// get filtered data table from table chart
var dt = table.getDataTable();
// build aggregation and view columns
var aggColumns = [];
var viewColumns = [0];
for (var i = 2; i < dt.getNumberOfColumns(); i++) {
if (i !== dt.getNumberOfColumns() - 1) {
if (dt.getColumnType(i) === 'number') {
if (dt.getColumnRole(i) !== 'annotation') {
addAggColumn(i);
if (i !== dt.getNumberOfColumns() - 2) {
viewColumns.push(i - 1);
}
}
}
}
}
function addAggColumn(index) {
aggColumns.push({
aggregation: google.visualization.data.sum,
column: index,
label: dt.getColumnLabel(index),
type: dt.getColumnType(index)
});
}
// aggregate data table
var agg = google.visualization.data.group(
dt,
[0],
aggColumns
);
var aggTotal = google.visualization.data.group(
dt,
[{
column: 0,
label: 'Total',
modifier: function (val) {
return 'Total';
},
type: 'string'
}],
aggColumns
);
dt = dt.toDataTable();
dt.addRow(['Total', '--', aggTotal.getValue(0, 1), aggTotal.getValue(0, 2), aggTotal.getValue(0, 3), aggTotal.getValue(0, 4), aggTotal.getValue(0, 5), null]);
table.setDataTable(dt);
table.draw();
viewColumns.push({
calc: function (dt, row) {
var total = 0;
for (var c = 1; c < dt.getNumberOfColumns(); c++) {
if (dt.getColumnLabel(c) !== 'Total') {
total += dt.getValue(row, c);
}
}
return total.toFixed(0);
},
role: 'annotation',
type: 'string'
});
// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
var viewLabel = view.getColumnLabel(vc);
for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
var aggLabel = agg.getColumnLabel(ac);
if (viewLabel === aggLabel) {
view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
}
}
}
// draw chart
columnchrt.setDataTable(view);
columnchrt.draw();
google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
}
var data = google.visualization.arrayToDataTable([
['Location', 'Company', 'Grade1', 'Grade2', 'Grade3', 'Bal-Grade', 'Total', { role: 'annotation' } ],
['NYC', 'CUSTOMERS', 0, 0, 13, 5, 19, 19],
['CALI', 'ORG', 270, 210, 0, 32, 51, 51],
['CALI', 'CUSTOMERS', 35.942, 39, 0, 50, 126, 126],
['WDC', 'CUSTOMERS', 0, 0, 35, 52, 88, 88],
['WDC', 'CUSTOMERS', 44.507, 0, 25, 18, 88, 88],
['NJ', 'ORG', 0, 0, 54, 22, 28, 28],
['TXS', 'CUSTOMERS', 0, 0, 0, 10, 11, 11]
]);
dashboard.bind([categoryPicker,categoryPicker1], [table]);
dashboard.draw(data);
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard_division" style="clear:left; display:inline-block; width:100%; float:left; margin-top:5px;">
<div class="float_left panel" style="float:left; width:50%; padding:0px;">
<div id="chart_div"></div>
</div>
<div class="float_left panel" style="width:50%; padding:0px;">
<div class="table_bbar" style="background-color:#27ae60;" >
<div id="categoryPicker_div" style="right:15px; position:absolute;"></div>
<div id="categoryPicker_div1" ></div>
</div>
<div id="table_div"></div>
</div>
</div>