Overview
Google Charts can display intervals around a series. They might be used to portray confidence intervals, minimum and maximum values around a value, percentile sampling, or anything else that requires a varying margin around a series.
There are six styles of interval: line, bar, box, stick, point, and area. Below, you'll see examples of each. In each example, we'll use the same dataset, here shown without any intervals:
The above chart is simple: it has seven series of data, all equal in importance. In what follows, we'll assume that the first series is the primary series, and the other six are being compared to it via intervals.
Line Intervals
Line intervals are sometimes used to depict the variance of multiple experiments. In the following chart, we illustrate a primary series and intervals around it.
<html>
<head>
<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load('current', {'packages':['corechart']});
google.charts.setOnLoadCallback(drawChart);
function drawChart() {
var data = new google.visualization.DataTable();
data.addColumn('number', 'x');
data.addColumn('number', 'values');
data.addColumn({id:'i0', type:'number', role:'interval'});
data.addColumn({id:'i1', type:'number', role:'interval'});
data.addColumn({id:'i2', type:'number', role:'interval'});
data.addColumn({id:'i2', type:'number', role:'interval'});
data.addColumn({id:'i2', type:'number', role:'interval'});
data.addColumn({id:'i2', type:'number', role:'interval'});
data.addRows([
[1, 100, 90, 110, 85, 96, 104, 120],
[2, 120, 95, 130, 90, 113, 124, 140],
[3, 130, 105, 140, 100, 117, 133, 139],
[4, 90, 85, 95, 85, 88, 92, 95],
[5, 70, 74, 63, 67, 69, 70, 72],
[6, 30, 39, 22, 21, 28, 34, 40],
[7, 80, 77, 83, 70, 77, 85, 90],
[8, 100, 90, 110, 85, 95, 102, 110]]);
// The intervals data as narrow lines (useful for showing raw source data)
var options_lines = {
title: 'Line intervals, default',
curveType: 'function',
lineWidth: 4,
intervals: { 'style':'line' },
legend: 'none'
};
var chart_lines = new google.visualization.LineChart(document.getElementById('chart_lines'));
chart_lines.draw(data, options_lines);
}
</script>
</head>
<body>
<div id="chart_lines" style="width: 900px; height: 500px;"></div>
</body>
</html>
In the data above, you can see that we attached three different
identifiers to the supplementary series: i0
, i2
, and i3
. We can use those to style those
series differently; below, we give them different colors and
thicknesses.
Note:
In general, it's poor form to reuse
IDs as we have above, with i2
being used four times. It
works, but we may change this behavior in the future.
The only difference is in the options:
var options_lines = { title : 'Line intervals, tailored' , lineWidth : 4 , curveType : 'function' , interval : { 'i0' : { 'style' : 'line' , 'color' : '#D3362D' , 'lineWidth' : 0.5 }, 'i1' : { 'style' : 'line' , 'color' : '#F1CA3A' , 'lineWidth' : 1 }, 'i2' : { 'style' : 'line' , 'color' : '#5F9654' , 'lineWidth' : 2 }, }, legend : 'none' , };
Bar Intervals
Bar intervals
create error bars around your
data. The first and last columns of the interval are drawn as wide
bars parallel to the domain-axis, and inner columns are drawn as
shorter "ticks". A "stick" is added to join the wide bars (if these
two bars have the same value then the stick is rendered as a point,
unless the pointSize
option is zero).
The width of the horizontal bars corresponding to the first and
last columns is controlled with intervals.barWidth
, and
the width of the horizontal bars corresponding to the inner columns is
controlled with intervals.shortBarWidth
. When those are
omitted, you'll get a chart like the one above with the options
below:
var options_bars = { title : 'Bars, default' , curveType : 'function' , series : [{ 'color' : '#D9544C' }], intervals : { style : 'bars' }, legend : 'none' , };
Box Intervals
Box intervals rendered columns in your data table as a set of nested rectangles: the first and last columns form the outermost rectangle, and inner columns render as darker rectangles within their containing box.
Here's how to specify box intervals:
var options = { series : [{ 'color' : '#1A8763' }], intervals : { style : 'boxes' }, legend : 'none' , };
You can make the boxes more prominent with the intervals.lineWidth
and intervals.barWidth
options:
The relevant options:
var options = { title : 'Boxes, thick' , curveType : 'function' , lineWidth : 4 , series : [{ 'color' : '#1A8763' }], intervals : { 'lineWidth' : 2 , 'barWidth' : 0.5 , style : 'boxes' }, legend : 'none' , };
Stick Intervals
Stick intervals
display pairs of columns as a
set of sticks parallel to the target axis. A stick of zero height is
rendered as a point, which can be suppressed by setting the pointSize
option to zero.
You can create these with a style
of 'sticks'
:
var options_sticks = { title : 'Sticks, default' , curveType : 'function' , series : [{ 'color' : '#E7711B' }], intervals : { style : 'sticks' }, legend : 'none' , };
Point Intervals
Point intervals display interval data as small circles:
The point size can be controlled with the intervals.pointSize
option. Here, it's 2:
var options_points = { title : 'Points, default' , curveType : 'function' , lineWidth : 4 , series : [{ 'color' : '#D3362D' }], intervals : { 'style' : 'points' , pointSize : 2 }, legend : 'none' , };
Here's what it looks like at 8:
Area Intervals
An area interval renders interval data as a set of nested shaded areas. Nesting of pairs of columns is similar to that of box intervals, except that an even number of columns is required.
This is accomplished by setting style
to 'area'
:
var options = { title : 'Area, default' , curveType : 'function' , series : [{ 'color' : '#F1CA3A' }], intervals : { 'style' : 'area' }, legend : 'none' , };
Combining Interval Styles
For even greater customization, you can combine intervals styles inside one chart.
Here's a chart that combines area and bar intervals:
In the above chart, we specify a style
of 'bars'
for intervals tagged with i0
and i1
, and an 'area'
style
for i2
. Then we use pointSize
to cap the
bars:
var options = { title : 'Bar/area interval chart' , curveType : 'function' , intervals : { 'color' : 'series-color' }, interval : { 'i0' : { 'color' : '#4374E0' , 'style' : 'bars' , 'barWidth' : 0 , 'lineWidth' : 4 , 'pointSize' : 10 , 'fillOpacity' : 1 }, 'i1' : { 'color' : '#E49307' , 'style' : 'bars' , 'barWidth' : 0 , 'lineWidth' : 4 , 'pointSize' : 10 , 'fillOpacity' : 1 }, 'i2' : { 'style' : 'area' , 'curveType' : 'function' , 'fillOpacity' : 0.3 }}, legend : 'none' , };
Here's a bar interval line chart with the i2
intervals
represented as sticks:
var options = { title : 'Sticks, horizontal' , curveType : 'function' , lineWidth : 4 , series : [{ 'color' : '#E7711B' }], intervals : { 'lineWidth' : 4 , 'barWidth' : 0.5 }, interval : { 'i2' : { 'style' : 'sticks' , 'color' : 'grey' , 'boxWidth' : 2.5 , 'lineWidth' : 1 } }, legend : 'none' , };
Here's an interval line chart that uses low opacity boxes to place selected intervals in the background:
// Focus is the error bars, but boxes are visible in the background. var options_boxes_background = { title : 'Background boxes' , curveType : 'function' , lineWidth : 4 , series : [{ 'color' : '#1A8763' }], intervals : { 'lineWidth' : 2 , 'barWidth' : 0.5 }, interval : { 'i2' : { 'style' : 'boxes' , 'color' : 'grey' , 'boxWidth' : 2.5 , 'lineWidth' : 0 , 'fillOpacity' : 0.2 } }, legend : 'none' , };
We can create a "points and whiskers" interval chart by
specifying a low opacity 'points'
style for one interval
along with a boxWidth
:
var options = { title : 'Points and whiskers' , curveType : 'function' , lineWidth : 4 , series : [{ 'color' : '#D3362D' }], intervals : { 'lineWidth' : 2 , 'barWidth' : 0.5 }, interval : { 'i2' : { 'style' : 'points' , 'color' : 'grey' , 'pointSize' : 10 , 'lineWidth' : 0 , 'fillOpacity' : 0.3 } }, legend : 'none' , };
Box Plot
Finally, based on the above "points and whiskers" chart, we can use box and bar intervals to create a basic box plot chart.
var options = { title : 'Box Plot' , height : 500 , legend : { position : 'none' }, hAxis : { gridlines : { color : '#fff' } }, lineWidth : 0 , series : [{ 'color' : '#D3362D' }], intervals : { barWidth : 1 , boxWidth : 1 , lineWidth : 2 , style : 'boxes' }, interval : { max : { style : 'bars' , fillOpacity : 1 , color : '#777' }, min : { style : 'bars' , fillOpacity : 1 , color : '#777' } } };
google . charts . load ( 'current' , { 'packages' : [ 'corechart' ]}); google . charts . setOnLoadCallback ( drawBoxPlot ); function drawBoxPlot () { var array = [ [ 'a' , 100 , 90 , 110 , 85 , 96 , 104 , 120 ], [ 'b' , 120 , 95 , 130 , 90 , 113 , 124 , 140 ], [ 'c' , 130 , 105 , 140 , 100 , 117 , 133 , 139 ], [ 'd' , 90 , 85 , 95 , 85 , 88 , 92 , 95 ], [ 'e' , 70 , 74 , 63 , 67 , 69 , 70 , 72 ], [ 'f' , 30 , 39 , 22 , 21 , 28 , 34 , 40 ], [ 'g' , 80 , 77 , 83 , 70 , 77 , 85 , 90 ], [ 'h' , 100 , 90 , 110 , 85 , 95 , 102 , 110 ] ]; var data = new google . visualization . DataTable (); data . addColumn ( 'string' , 'x' ); data . addColumn ( 'number' , 'series0' ); data . addColumn ( 'number' , 'series1' ); data . addColumn ( 'number' , 'series2' ); data . addColumn ( 'number' , 'series3' ); data . addColumn ( 'number' , 'series4' ); data . addColumn ( 'number' , 'series5' ); data . addColumn ( 'number' , 'series6' ); data . addColumn ({ id : 'max' , type : 'number' , role : 'interval' }); data . addColumn ({ id : 'min' , type : 'number' , role : 'interval' }); data . addColumn ({ id : 'firstQuartile' , type : 'number' , role : 'interval' }); data . addColumn ({ id : 'median' , type : 'number' , role : 'interval' }); data . addColumn ({ id : 'thirdQuartile' , type : 'number' , role : 'interval' }); data . addRows ( getBoxPlotValues ( array )); /** * Takes an array of input data and returns an * array of the input data with the box plot * interval data appended to each row. */ function getBoxPlotValues ( array ) { for ( var i = 0 ; i < array . length ; i ++ ) { var arr = array [ i ]. slice ( 1 ). sort ( function ( a , b ) { return a - b ; }); var max = arr [ arr . length - 1 ]; var min = arr [ 0 ]; var median = getMedian ( arr ); // First Quartile is the median from lowest to overall median. var firstQuartile = getMedian ( arr . slice ( 0 , 4 )); // Third Quartile is the median from the overall median to the highest. var thirdQuartile = getMedian ( arr . slice ( 3 )); array [ i ][ 8 ] = max ; array [ i ][ 9 ] = min array [ i ][ 10 ] = firstQuartile ; array [ i ][ 11 ] = median ; array [ i ][ 12 ] = thirdQuartile ; } return array ; } /* * Takes an array and returns * the median value. */ function getMedian ( array ) { var length = array . length ; /* If the array is an even length the * median is the average of the two * middle-most values. Otherwise the * median is the middle-most value. */ if ( length % 2 === 0 ) { var midUpper = length / 2 ; var midLower = midUpper - 1 ; return ( array [ midUpper ] + array [ midLower ]) / 2 ; } else { return array [ Math . floor ( length / 2 )]; } } var options = { title : 'Box Plot' , height : 500 , legend : { position : 'none' }, hAxis : { gridlines : { color : '#fff' } }, lineWidth : 0 , series : [{ 'color' : '#D3362D' }], intervals : { barWidth : 1 , boxWidth : 1 , lineWidth : 2 , style : 'boxes' }, interval : { max : { style : 'bars' , fillOpacity : 1 , color : '#777' }, min : { style : 'bars' , fillOpacity : 1 , color : '#777' } } }; var chart = new google . visualization . LineChart ( document . getElementById ( 'box_plot' )); chart . draw ( data , options ); }
