require 'daru/view'
Daru::View.plotting_library = :highcharts
# col-basic chart : basic
opts = {
chart: {
type: 'column'
},
title: {
text: 'Monthly Average Rainfall'
},
subtitle: {
text: 'Source: WorldClimate.com'
},
xAxis: {
categories: [
'Jan',
'Feb',
'Mar',
'Apr',
'May',
'Jun',
'Jul',
'Aug',
'Sep',
'Oct',
'Nov',
'Dec'
],
crosshair: true
},
yAxis: {
min: 0,
title: {
text: 'Rainfall (mm)'
}
},
tooltip: {
headerFormat: '{point.key}
',
pointFormat: '{series.name}: | ' +
'{point.y:.1f} mm |
',
footerFormat: '
',
shared: true,
useHTML: true
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
},
}
series_dt = [
{
name: 'Tokyo',
data: [49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4]
}, {
name: 'New York',
data: [83.6, 78.8, 98.5, 93.4, 106.0, 84.5, 105.0, 104.3, 91.2, 83.5, 106.6, 92.3]
}, {
name: 'London',
data: [48.9, 38.8, 39.3, 41.4, 47.0, 48.3, 59.0, 59.6, 52.4, 65.2, 59.3, 51.2]
}, {
name: 'Berlin',
data: [42.4, 33.2, 34.5, 39.7, 52.6, 75.5, 57.4, 60.4, 47.6, 39.1, 46.8, 51.1]
}
]
col_basic = Daru::View::Plot.new
col_basic.chart.options = opts;
col_basic.chart.series_data = series_dt
col_basic.show_in_iruby
# colmn-basic chart : column-negative
opts = {
chart: {
type: 'column'
},
title: {
text: 'Column chart with negative values'
},
xAxis: {
categories: ['Apples', 'Oranges', 'Pears', 'Grapes', 'Bananas']
},
credits: {
enabled: false
}
}
series_dt = [
{
name: 'John',
data: [5, 3, 4, 7, 2]
}, {
name: 'Jane',
data: [2, -2, -3, 2, 1]
}, {
name: 'Joe',
data: [3,4,4,-2,5]
}
]
col_neg = Daru::View::Plot.new
col_neg.chart.options = opts;
col_neg.chart.series_data = series_dt
col_neg.show_in_iruby
# bar-basic chart : column-stacked/
opts = {
chart: {
type: 'column'
},
title: {
text: 'Stacked column chart'
},
xAxis: {
categories: ['Apples', 'Oranges', 'Pears', 'Grapes', 'Bananas']
},
yAxis: {
min: 0,
title: {
text: 'Total fruit consumption'
},
stackLabels: {
enabled: true,
style: {
fontWeight: 'bold',
color: "(Highcharts.theme && Highcharts.theme.textColor) || 'gray'".js_code
}
}
},
legend: {
align: 'right',
x: -30,
verticalAlign: 'top',
y: 25,
floating: true,
backgroundColor:" (Highcharts.theme && Highcharts.theme.background2) || 'white'".js_code,
borderColor: '#CCC',
borderWidth: 1,
shadow: false
},
tooltip: {
headerFormat: '{point.x}
',
pointFormat: '{series.name}: {point.y}
Total: {point.stackTotal}'
},
plotOptions: {
column: {
stacking: 'normal',
dataLabels: {
enabled: true,
color:" (Highcharts.theme && Highcharts.theme.dataLabelsColor) || 'white'".js_code
}
}
},
}
series_dt = [
{
name: 'John',
data: [5, 3, 4, 7, 2]
}, {
name: 'Jane',
data: [2, 2, 3, 2, 1]
}, {
name: 'Joe',
data: [3, 4, 4, 2, 5]
}
]
col_stacked = Daru::View::Plot.new
col_stacked.chart.options = opts;
col_stacked.chart.series_data = series_dt
col_stacked.show_in_iruby
# bar-basic chart :column-stacked-and-grouped/
opts = {
chart: {
type: 'column'
},
title: {
text: 'Total fruit consumtion, grouped by gender'
},
xAxis: {
categories: ['Apples', 'Oranges', 'Pears', 'Grapes', 'Bananas']
},
yAxis: {
allowDecimals: false,
min: 0,
title: {
text: 'Number of fruits'
}
},
tooltip: {
formatter: "function () {
return '' + this.x + '
' +
this.series.name + ': ' + this.y + '
' +
'Total: ' + this.point.stackTotal;
}".js_code
},
plotOptions: {
column: {
stacking: 'normal'
}
},
}
series_dt = [
{
name: 'John',
data: [5, 3, 4, 7, 2],
stack: 'male'
}, {
name: 'Joe',
data: [3, 4, 4, 2, 5],
stack: 'male'
}, {
name: 'Jane',
data: [2, 5, 6, 2, 1],
stack: 'female'
}, {
name: 'Janet',
data: [3, 0, 4, 4, 3],
stack: 'female'
}
]
col_stacked_grp = Daru::View::Plot.new
col_stacked_grp.chart.options = opts;
col_stacked_grp.chart.series_data = series_dt
col_stacked_grp.show_in_iruby
# bar-basic chart : column-stacked-percent/
opts = {
chart: {
type: 'column'
},
title: {
text: 'Stacked column chart'
},
xAxis: {
categories: ['Apples', 'Oranges', 'Pears', 'Grapes', 'Bananas']
},
yAxis: {
min: 0,
title: {
text: 'Total fruit consumption'
}
},
tooltip: {
pointFormat: '{series.name}: {point.y} ({point.percentage:.0f}%)
',
shared: true
},
plotOptions: {
column: {
stacking: 'percent'
}
}
}
series_dt = [
{
name: 'John',
data: [5, 3, 4, 7, 2]
}, {
name: 'Jane',
data: [2, 2, 3, 2, 1]
}, {
name: 'Joe',
data: [3, 4, 4, 2, 5]
}
]
col_stacked_per = Daru::View::Plot.new
col_stacked_per.chart.options = opts;
col_stacked_per.chart.series_data = series_dt
col_stacked_per.show_in_iruby
# bar-basic chart : column-rotated-labels
opts = {
chart: {
type: 'column'
},
title: {
text: 'World\'s largest cities per 2014'
},
subtitle: {
text: 'Source: Wikipedia'
},
xAxis: {
type: 'category',
labels: {
rotation: -45,
style: {
fontSize: '13px',
fontFamily: 'Verdana, sans-serif'
}
}
},
yAxis: {
min: 0,
title: {
text: 'Population (millions)'
}
},
legend: {
enabled: false
},
tooltip: {
pointFormat: 'Population in 2008: {point.y:.1f} millions'
},
}
series_dt = [
{
name: 'Population',
data: [
['Shanghai', 23.7],
['Lagos', 16.1],
['Istanbul', 14.2],
['Karachi', 14.0],
['Mumbai', 12.5],
['Moscow', 12.1],
['São Paulo', 11.8],
['Beijing', 11.7],
['Guangzhou', 11.1],
['Delhi', 11.1],
['Shenzhen', 10.5],
['Seoul', 10.4],
['Jakarta', 10.0],
['Kinshasa', 9.3],
['Tianjin', 9.3],
['Tokyo', 9.0],
['Cairo', 8.9],
['Dhaka', 8.9],
['Mexico City', 8.9],
['Lima', 8.9]
],
dataLabels: {
enabled: true,
rotation: -90,
color: '#FFFFFF',
align: 'right',
format: '{point.y:.1f}',# one decimal
y: 10, # 10 pixels down from the top
style: {
fontSize: '13px',
fontFamily: 'Verdana, sans-serif'
}
}
}
]
col_rotated_label = Daru::View::Plot.new
col_rotated_label.chart.options = opts;
col_rotated_label.chart.series_data = series_dt
col_rotated_label.show_in_iruby
# note: for drilldown charts drilldown.js needed
# bar-basic chart : column-drilldown
opts = {
chart: {
type: 'column'
},
title: {
text: 'Browser market shares. January, 2015 to May, 2015'
},
subtitle: {
text: 'Click the columns to view versions. Source: netmarketshare.com.'
},
xAxis: {
type: 'category'
},
yAxis: {
title: {
text: 'Total percent market share'
}
},
legend: {
enabled: false
},
plotOptions: {
series: {
borderWidth: 0,
dataLabels: {
enabled: true,
format: '{point.y:.1f}%'
}
}
},
tooltip: {
headerFormat: '{series.name}
',
pointFormat: '{point.name}: {point.y:.2f}% of total
'
},
drilldown: {
series: [{
name: 'Microsoft Internet Explorer',
id: 'Microsoft Internet Explorer',
data: [
[
'v11.0',
24.13
],
[
'v8.0',
17.2
],
[
'v9.0',
8.11
],
[
'v10.0',
5.33
],
[
'v6.0',
1.06
],
[
'v7.0',
0.5
]
]
}, {
name: 'Chrome',
id: 'Chrome',
data: [
[
'v40.0',
5
],
[
'v41.0',
4.32
],
[
'v42.0',
3.68
],
[
'v39.0',
2.96
],
[
'v36.0',
2.53
],
[
'v43.0',
1.45
],
[
'v31.0',
1.24
],
[
'v35.0',
0.85
],
[
'v38.0',
0.6
],
[
'v32.0',
0.55
],
[
'v37.0',
0.38
],
[
'v33.0',
0.19
],
[
'v34.0',
0.14
],
[
'v30.0',
0.14
]
]
}, {
name: 'Firefox',
id: 'Firefox',
data: [
[
'v35',
2.76
],
[
'v36',
2.32
],
[
'v37',
2.31
],
[
'v34',
1.27
],
[
'v38',
1.02
],
[
'v31',
0.33
],
[
'v33',
0.22
],
[
'v32',
0.15
]
]
}, {
name: 'Safari',
id: 'Safari',
data: [
[
'v8.0',
2.56
],
[
'v7.1',
0.77
],
[
'v5.1',
0.42
],
[
'v5.0',
0.3
],
[
'v6.1',
0.29
],
[
'v7.0',
0.26
],
[
'v6.2',
0.17
]
]
}, {
name: 'Opera',
id: 'Opera',
data: [
[
'v12.x',
0.34
],
[
'v28',
0.24
],
[
'v27',
0.17
],
[
'v29',
0.16
]
]
}]
}
}
series_dt = [
{
name: 'Brands',
colorByPoint: true,
data: [{
name: 'Microsoft Internet Explorer',
y: 56.33,
drilldown: 'Microsoft Internet Explorer'
}, {
name: 'Chrome',
y: 24.03,
drilldown: 'Chrome'
}, {
name: 'Firefox',
y: 10.38,
drilldown: 'Firefox'
}, {
name: 'Safari',
y: 4.77,
drilldown: 'Safari'
}, {
name: 'Opera',
y: 0.91,
drilldown: 'Opera'
}, {
name: 'Proprietary or Undetectable',
y: 0.2,
drilldown: nil
}]
}]
col_drill = Daru::View::Plot.new
col_drill.chart.options = opts;
col_drill.chart.series_data = series_dt
col_drill.show_in_iruby
# bar-basic chart :column-placement/
opts = {
chart: {
type: 'column'
},
title: {
text: 'Efficiency Optimization by Branch'
},
xAxis: {
categories: [
'Seattle HQ',
'San Francisco',
'Tokyo'
]
},
yAxis: [{
min: 0,
title: {
text: 'Employees'
}
}, {
title: {
text: 'Profit (millions)'
},
opposite: true
}],
legend: {
shadow: false
},
tooltip: {
shared: true
},
plotOptions: {
column: {
grouping: true,
shadow: false,
borderWidth: 0
}
},
}
series_dt = [
{
name: 'Employees',
color: 'rgba(165,170,217,1)',
data: [150, 73, 20],
pointPadding: 0.3,
pointPlacement: -0.2
}, {
name: 'Employees Optimized',
color: 'rgba(126,86,134,.9)',
data: [140, 90, 40],
pointPadding: 0.4,
pointPlacement: -0.2
}, {
name: 'Profit',
color: 'rgba(248,161,63,1)',
data: [183.6, 178.8, 198.5],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.3,
pointPlacement: 0.2,
yAxis: 1
}, {
name: 'Profit Optimized',
color: 'rgba(186,60,61,.9)',
data: [203.6, 198.8, 208.5],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.4,
pointPlacement: 0.2,
yAxis: 1
}
]
col_place = Daru::View::Plot.new
col_place.chart.options = opts;
col_place.chart.series_data = series_dt
col_place.show_in_iruby
# todo: column-parsed/ (getting data from the html table)
# todo :columnrange chart example