Amazon did a great job with the monitoring in OpsWorks (see screenshot). You can point at any time in any of the area charts and see all values for all charts at that time.
Is it possible to achieve something similar with the Google Visualisation API?
I also have multiple (stacked) area charts and it's a pain to point at each datapoint to get the exact value. Some of them are overlapping or very close together.
You can't trigger the tooltips in all of the charts at the same time, but if you disable the built-in tooltips, you can achieve something similar by building out your tooltips in HTML and populating them manually in a "onmouseover" event handler:
function mouseOverHandler (e) {
// use e.row, e.column to find data and populate your tooltips
}
function mouseOutHandler (e) {
// clear the tooltips
}
google.visualization.events.addListener(chart1, 'onmouseover', mouseOverHandler);
google.visualization.events.addListener(chart1, 'onmouseout', mouseOutHandler);
google.visualization.events.addListener(chart2, 'onmouseover', mouseOverHandler);
google.visualization.events.addListener(chart2, 'onmouseout', mouseOutHandler);
// etc...
In your stacked area chart (assuming you do not replace the tooltips with a custom solution), you can set the focusTarget option to 'category' to make all values at a given x-axis value show up in the tooltip (works only within one chart, not across charts).
You can also cheat by putting all three charts in the same chart element with a little trickery (and some limitations). For instance, you can make the chart like this:
Here is the code for that (dummy data):
function drawVisualization() {
// Some raw data (not necessarily accurate)
var data = new google.visualization.DataTable();
data.addColumn('number', 'time');
data.addColumn('number', 'used');
data.addColumn('number', 'cached');
data.addColumn('number', 'free');
data.addColumn('number', 'user');
data.addColumn('number', 'system');
data.addColumn('number', 'io wait');
data.addColumn('number', '1 min');
data.addColumn('number', '5 min');
data.addColumn('number', '15 min');
data.addRows([
[1, {v:0.1, f:'10%'},{v:0.55, f:'45%'},{v:1, f:'45%'},{v:1.01, f:'0.15 GiB'},{v:1.83, f:'12.45 GiB'},{v:1.18, f:'2.7 GiB'},{v:2.28166561658701, f:'28.2%'},{v:2.38024858239246, f:'38.0%'},{v:2.42249842488051, f:'42.2%'}],
[2, {v:0.2, f:'20%'},{v:0.6, f:'40%'},{v:1, f:'40%'},{v:1.54, f:'8.1 GiB'},{v:1.47, f:'7.05 GiB'},{v:1.77, f:'11.55 GiB'},{v:2.53503269167234, f:'53.5%'},{v:2.74904576834128, f:'74.9%'},{v:2.4119751725877, f:'41.2%'}],
[3, {v:0.3, f:'30%'},{v:0.65, f:'35%'},{v:1, f:'35%'},{v:1.13, f:'1.95 GiB'},{v:1.15, f:'2.25 GiB'},{v:1.75, f:'11.25 GiB'},{v:2.73464579773048, f:'73.5%'},{v:2.85218912536736, f:'85.2%'},{v:2.80811037750353, f:'80.8%'}],
[4, {v:0.4, f:'40%'},{v:0.7, f:'30%'},{v:1, f:'30%'},{v:1.27, f:'4.05 GiB'},{v:1.86, f:'12.9 GiB'},{v:1.1, f:'1.5 GiB'},{v:2.86045009159487, f:'86.0%'},{v:2.92068159800651, f:'92.1%'},{v:2.54208355770477, f:'54.2%'}],
[5, {v:0.5, f:'50%'},{v:0.75, f:'25%'},{v:1, f:'25%'},{v:1.23, f:'3.45 GiB'},{v:1.12, f:'1.8 GiB'},{v:1.88, f:'13.2 GiB'},{v:2.89980619585711, f:'90.0%'},{v:2.8728120099814, f:'87.3%'},{v:2.75583720451997, f:'75.6%'}],
[6, {v:0.6, f:'60%'},{v:0.8, f:'20%'},{v:1, f:'20%'},{v:1.5, f:'7.5 GiB'},{v:1.78, f:'11.7 GiB'},{v:1.26, f:'3.9 GiB'},{v:2.84876005903125, f:'84.9%'},{v:2.66203284604438, f:'66.2%'},{v:2.63657004427344, f:'63.7%'}],
[7, {v:0.7, f:'70%'},{v:0.85, f:'15%'},{v:1, f:'15%'},{v:1.91, f:'13.65 GiB'},{v:1.26, f:'3.9 GiB'},{v:1.69, f:'10.35 GiB'},{v:2.71244021344925, f:'71.2%'},{v:2.78368423479417, f:'78.4%'},{v:2.69819140918026, f:'69.8%'}],
[8, {v:0.8, f:'80%'},{v:0.9, f:'10%'},{v:1, f:'10%'},{v:1.48, f:'7.2 GiB'},{v:1.51, f:'7.65 GiB'},{v:1.41, f:'6.15 GiB'},{v:2.50454251895529, f:'50.5%'},{v:2.59031474717769, f:'59.0%'},{v:2.33299806251049, f:'33.3%'}],
[9, {v:0.9, f:'90%'},{v:0.95, f:'5%'},{v:1, f:'5%'},{v:1.18, f:'2.7 GiB'},{v:1.53, f:'7.95 GiB'},{v:1.97, f:'14.55 GiB'},{v:2.24595415946281, f:'24.6%'},{v:2.24103507627355, f:'24.1%'},{v:2.22381828511115, f:'22.4%'}],
[10, {v:1, f:'100%'},{v:1, f:'0%'},{v:1, f:'0%'},{v:1.66, f:'9.9 GiB'},{v:1.61, f:'9.15 GiB'},{v:1.2, f:'3 GiB'},{v:2.1229770797314, f:'12.3%'},{v:2.13527478770454, f:'13.5%'},{v:2.14757249567768, f:'14.8%'}],
]);
// Create and draw the visualization.
var ac = new google.visualization.AreaChart(document.getElementById('visualization'));
ac.draw(data, {
title : 'Monthly Coffee Production by Country',
isStacked: false,
width: 600,
height: 400,
areaOpacity: 0.0,
focusTarget: 'category',
series: { 0: {areaOpacity: 0.5}, 1: {areaOpacity: 0.5}, 2: {areaOpacity: 0.5} },
vAxis: { ticks: [{v:0, f:""}, {v:0.5, f:"7.5 GiB"}, {v:1, f:"15.0 GiB"}, {v:1.5, f:"50%"}, {v:2, f:"100%"}, {v:2.5, f:"50%"}, {v:3, f:"100%"}, ] }
});
}
Basically, I put all 3 series on the same chart by putting them all as percentages of 1/3rd of the chart. So the first series is from 0-1, the second from 1-2, and the third from 2-3. I then used liberal quantities of {v:, f:} notation to make them look like different numbers (for the GiB particularly), and used the ticks option to make the axis look like it has 3 scales. Finally, I set focusTarget: 'category' so all lines get selected when you mouseover any of them.
You can format colors and even add dummy series to add thicker black lines between the series if you want to make them look more 'distinct'. You can also do some tricky stuff with dummy series and white areas and 100% opacity to potentially add background colors to higher areas. But the general concept is as outlined above, depending on what you are going for, it could work too.
I want following Google Chart (Column Chart) to show its first label on horizontal axis. Also I want each column to have same width; first and last column need a change. How is it possible?
var chartDataRaw = [{
"month": "201211",
"articles": 41467
}, {
"month": "201212",
"articles": 31820
}, {
"month": "201301",
"articles": 43817
}, {
"month": "201302",
"articles": 42773
}, {
"month": "201303",
"articles": 38695
}, {
"month": "201304",
"articles": 41257
}];
var dataTable = new google.visualization.DataTable();
dataTable.addColumn('date', 'Month');
dataTable.addColumn('number', 'Articles');
var i = 1;
//chartDataRaw is array of objects, requested from server. looped through jquery each to fill dataTable
$.each(chartDataRaw, function () {
var year = this.month.substring(0, 4);
var month = this.month.substring(4);
var dataItem = [new Date(year, month), this.articles];
dataTable.addRow(dataItem);
});
var options = {
title: 'Company Coverage',
hAxis: {
title: 'Last Six Months',
titleTextStyle: {
color: 'red'
},
format: 'MMM, yyyy',
fontSize: '8px'
},
vAxis: {
textPosition: 'none'
},
trendlines: {
0: {
color: 'black',
lineWidth: 3,
opacity: 0.4
}
},
legend: 'none'
};
var monthYearFormatter = new google.visualization.DateFormat({
pattern: "MMM, yyyy"
});
monthYearFormatter.format(dataTable, 0); //change date format to render on chart
var chart = new google.visualization.ColumnChart(document.getElementById('chart_div'));
chart.draw(dataTable, options);
http://jsfiddle.net/YyYsN/2/
Edit: Added chart data
Executive Summary
You are committing several mortal sins:
You are not defining dates right
You have no y axis values distorting your data
You are using columns to describe a continuous series
You are predicting based on only 6 data points
You are not defining dates right
Look at the value for January 2013. It says 31,820 articles. The issue is your data says there were 43,817 articles in January. What the heck is going on?
Javascript Date Objects use month values from 0-11, not 1-12. That means when you convert the dates, you need to change your function.
Old:
var dataItem = [new Date(year, month), this.articles];
New:
var dataItem = [new Date(year, month - 1), this.articles];
You have no y axis values distorting your data
Compare the second bar to the third bar. What is the ratio between the two? It looks like the second bar is around .5 gridlines, and the third bar is around 3.5 gridlines. That is a 700% increase in articles!
Only if you look at the data, it's actually going from 31,820 to 43,817, and increase of only 37%.
Bar charts should always start from zero, otherwise you get incredibly distorted perspective of the data, especially when there are no labels to boot.
Old:
vAxis: {
textPosition: 'none',
},
New:
vAxis: {
textPosition: 'none',
minValue: 0
},
You are using columns to describe a continuous series
Columns show discrete items. If I want to poll how many kids in a class like dogs, cats, and iguanas, a column chart is great since it allows me to compare the popularity (height) across unrelated categories (horizontal). Columns are okay for showing sales per month (or articles per month), but by making them columns you are implying that the columns should be compared as individual items, not as a progressing series.
If you want to show that these data items are connected (as implied by the trendline) it would make much more sense to show an area chart.
(Ideally, the area chart would show articles over the last 30 days, and have daily data, rather than a monthly compilation since months are arbitrary cutoffs, and things like weekends and holidays probably have a significant impact on your data which further distorts what you're trying to show).
Old
var chart = new google.visualization.ColumnChart(document.getElementById('chart_div'));
New
var chart = new google.visualization.AreaChart(document.getElementById('chart_div'));
You are predicting based on only 6 data point
Six points does not a trend make. Your data's highest value is the second point, yet you are showing the trend increasing over time. Perhaps the trendline suggests an upward trend (since the later values are higher than the first value), but as soon as you move 1 month forward you will have a descending trendline (barring a massive increase in articles).
This makes no rational sense. 5 months of data are the same. How can changing 1 month of a 6-month series change the direction of the trendline? Forecasting is iffy-enough as it is (see the Black Swan theory), but doing it on a minimal 6-month series likely isn't the best. This means the trendline should probably be removed altogether since it not only doesn't convey useful information, it potentially conveys incorrect information.
Summary
That said, if you just want your left and right columns not to be cut off, you can change the following code:
Old
hAxis: {
title: 'Last Six Months',
titleTextStyle: {
color: 'red'
},
format: 'MMM, yyyy',
fontSize: '8px',
},
New
hAxis: {
title: 'Last Six Months',
titleTextStyle: {
color: 'red'
},
format: 'MMM, yyyy',
fontSize: '8px',
minValue: new Date(2012,9),
maxValue: new Date(2013,4)
},
fixed it myself by changing corechart visualization version to 1.1
google.load("visualization", "1.1", {packages:["corechart"]});
https://developers.google.com/chart/interactive/docs/gallery/linechart?hl=ja#Configuration_Options
How can I specify different colors for a single line dependent on the particular range? For example, one line should be blue from 0 to 10 and red from 10 to 20.
Short answer: you can't.
Long answer: you can build a lengthy workaround, but each step will present different issues that you may find worse than a single-colored line.
Run a loop through your data so that each color is in a different column for each series. This is the quickest way.
For instance, if you have data:
var data = google.visualization.arrayToDataTable([
['Month', 'Data'],
['2004/05', 123],
['2005/06', 234],
['2006/07', 345],
['2007/08', 456],
['2008/09', 789]
And you want to split it in to 3 colors:
<300,
300-600
600
You can write a script to make your data look like this:
var data = google.visualization.arrayToDataTable([
['Month', 'Red', 'Green', 'Blue'],
['2004/05', 123, null, null],
['2005/06', 234, null, null],
['2006/07', null, 345, null],
['2007/08', null, 456, null],
['2008/09', null, null, 789]
The above will give you colored points for each different range. If you actually want the lines connecting them to change color as soon as they cross a certain threshold, you have to calculate the intercept of 300 with whatever day, and add that to the series. Same with 600. You'd also have to change the "Month" series to actually be date values so you can set the point in between correctly. Of course, those intermediate points will show up too, which is a different headache...
You can also fiddle around with domains but those won't help you with the coloring (but will help you to connect the different points to the same series).
does someone has a cool example of 2 vAxis line Chart like this from Google adnsese, where you can add and remove values to display in the chart?
I have already done the 2 vAxis chart and display many values, but now I would like to add and remove some of them and rebuild the chart.
I haven't seen the AdSense Chart, but I will try to answer.
To add or remove data points or lines from a chart you can manipulate the DataTable (or create a new one) and then call 'draw' again on the chart.
here is an example with animation:
var data = google.visualization.arrayToDataTable([
['x','Domain', 'Line 1', 'Line 2'],
['A', 1, 1, 0.5],
['B', 2, 0.5, 1]
]);
// Use transition animation
var opts = {animation: { duration: 1000, easing: 'out' }}
var chart = new google.visualization.LineChart(document.getElementById('visualization'));
chart.draw(data, opts);
// remove a data line (column)
data.removeColumn(3);
chart.draw(data, opts);
// add a new data point (row)
data.addRow(['C',4,1,0.5]);
chart.draw(data, opts);
I have created a bar chart using google Column Chart, now
I have only integer values in my datatable but google divide acis with float values, is there a way to force chart mark only integers?
is there any way to show value labels on top or inside bar chart? I found some way for image chart, but I whould like to keep chart interactive
There is no direct solution to this as yet because annotations are not supported in column chart. But let me share a work around for this: You can create a combo chart with two series having same data (as that of your column chart) along with the annotation column. Set the type of the first series to bars and that of the other series to line. Finally, specify visibleInLegend, lineWidth, and pointSize properties of the second series to false and 0s respectively.
var data = new google.visualization.DataTable();
data.addColumn({ type: 'string', label: 'Labels' });
data.addColumn({ type: 'number', label: 'Bar Series' });
data.addColumn({ type: 'number', label: 'Line Series' });
data.addColumn({ type: 'string', role: 'annotation' });
data.addRows([['Label1', 10, 10, '10'],
['Label1', 20, 20, '20'],
['Label1', 40, 40, '40'],
['Label1', 5, 5, '5'],
['Label1', 30, 30, '30'],
]);
var barchart = new google.visualization.ComboChart(document.getElementById('bar_element'));
var options = {series: [{ type: 'bars' },
{ type: 'line', lineWidth: 0, visibleInLegend:false, pointSize: 0}]};
barchart.draw(data, options);
For your first problem you can use gridlines property, take a look at this post to see how you can use it.
For the second question I don't really understand. When you go on a bar with your mouse, the popup with values isn't already displayed on the top of the bar?