Box Plot Charts
The Telerik UI Box Plot Chart HtmlHelper for ASP.NET MVC is a server-side wrapper for the Kendo UI Box Plot Chart widget.
Box Plot Charts are useful for displaying variations in statistical samples of data and data details in a small space.
Getting Started
The Box Plot Chart uses the following values:
- First and third quartile (q1 and q3)
- Median (that is the second quartile)
- Upper and lower value (inner fences)
- Mean and outliers
To create a Box Plot series in the Chart component, use BoxPlot in the Series configuration.
Binding the Box Plot Chart
When you bind the Box Plot Chart, you have to set the following special properties of the Series object so that the Chart is successfully displayed:
- (Mandatory)
q1(first quartile) - (Mandatory)
q3Field(third quartile) - (Mandatory)
lower - (Mandatory)
upper - (Mandatory)
median(second quartile) - (Optional)
mean - (Optional)
outliers
All properties except for outliers have to point to numeric fields in the DataSource. outliers has to point to a field that contains an array of numbers.
@(Html.Kendo().Chart()
.Name("chart")
.Title("Monthly Mean Temperatures (°F)")
.Legend(legend => legend.Visible(false))
.Series(series => series
.BoxPlot(new System.Collections.ArrayList() {
new { lower= 26.2, q1= 38.3 , median= 51.0, q3= 61.45, upper= 68.9, mean= 49.0, outliers= new [] {18.3, 20, 70, 72, 5}} ,
new { lower= 26.4, q1= 38.125, median= 46.8 , q3= 60.425, upper= 66.8, mean= 47.3, outliers= new [] {18, 69, 71.3, 71.5}},
new { lower= 31.6, q1= 41.725, median= 52.35, q3= 62.175, upper= 70.8, mean= 52.3, outliers= new [] {14, 16.4, 74}},
new { lower= 34.4, q1= 39.375, median= 49.9 , q3= 61.425, upper= 69.2, mean= 50.3, outliers= new [] {16, 18, 72, 72.5}} ,
new { lower= 29.9, q1= 38.35, median= 50.4, q3= 60.875, upper= 69.7, mean= 49.9, outliers= new [] {19, 20, 76, 78}},
new { lower= 22.3, q1= 36.875, median= 48.9 , q3= 62.65 , upper= 70.3, mean= 49.0, outliers= new [] {16.5, 17, 74, 75, 78}},
new { lower= 32.3, q1= 39.5, median= 54.1, q3= 61.175, upper= 67.3, mean= 50.8, outliers= new [] {13, 14, 15, 74.3, 75.2, 76}},
new { lower= 28.5, q1= 36.075, median= 50.5 , q3= 64.2, upper= 70.4, mean= 49.6, outliers= new [] {18, 22, 73.4, 75}},
new { lower= 33.6, q1= 40.65, median= 49.55, q3= 62.8, upper= 69.2, mean= 51.1, outliers= new [] {17, 73}},
new { lower= 33.6, q1= 38.6, median= 47.9, q3= 60.825, upper= 67.0, mean= 49.7, outliers= new [] {12, 13.5, 16, 73, 74.6, 77}},
new { lower= 31.9, q1= 36.425, median= 49.3, q3= 61.825, upper= 69.7, mean= 49.4, outliers= new [] {17, 76}},
new { lower= 34.0, q1= 41.225, median= 51.15, q3= 62.4, upper= 68.8, mean= 51.6, outliers= new [] {14.6, 17.3, 72.3, 74}}
})
)
.CategoryAxis(categoryAxis => categoryAxis
.Categories(new string[] { "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" })
.MajorGridLines(majorGridLines => majorGridLines.Visible(false))
)
)
Setting the Orientation
You can change the orientation of the Box Plot Chart by setting the series type to VerticalBoxPlot.
@(Html.Kendo().Chart()
.Name("chart")
.Title("Monthly Mean Temperatures (°F)")
.Legend(legend => legend.Visible(false))
.Series(series => series
.VerticalBoxPlot(new System.Collections.ArrayList() {
new { lower= 26.2, q1= 38.3 , median= 51.0, q3= 61.45, upper= 68.9, mean= 49.0, outliers= new [] {18.3, 20, 70, 72, 5}},
new { lower= 26.4, q1= 38.125, median= 46.8 , q3= 60.425, upper= 66.8, mean= 47.3, outliers= new [] {18, 69, 71.3, 71.5}},
new { lower= 31.6, q1= 41.725, median= 52.35, q3= 62.175, upper= 70.8, mean= 52.3, outliers= new [] {14, 16.4, 74}},
new { lower= 34.4, q1= 39.375, median= 49.9 , q3= 61.425, upper= 69.2, mean= 50.3, outliers= new [] {16, 18, 72, 72.5}},
new { lower= 29.9, q1= 38.35, median= 50.4, q3= 60.875, upper= 69.7, mean= 49.9, outliers= new [] {19, 20, 76, 78}},
new { lower= 22.3, q1= 36.875, median= 48.9 , q3= 62.65 , upper= 70.3, mean= 49.0, outliers= new [] {16.5, 17, 74, 75, 78}},
new { lower= 32.3, q1= 39.5, median= 54.1, q3= 61.175, upper= 67.3, mean= 50.8, outliers= new [] {13, 14, 15, 74.3, 75.2, 76}},
new { lower= 28.5, q1= 36.075, median= 50.5 , q3= 64.2, upper= 70.4, mean= 49.6, outliers= new [] {18, 22, 73.4, 75}},
new { lower= 33.6, q1= 40.65, median= 49.55, q3= 62.8, upper= 69.2, mean= 51.1, outliers= new [] {17, 73}},
new { lower= 33.6, q1= 38.6, median= 47.9, q3= 60.825, upper= 67.0, mean= 49.7, outliers= new [] {12, 13.5, 16, 73, 74.6, 77}},
new { lower= 31.9, q1= 36.425, median= 49.3, q3= 61.825, upper= 69.7, mean= 49.4, outliers= new [] {17, 76}},
new { lower= 34.0, q1= 41.225, median= 51.15, q3= 62.4, upper= 68.8, mean= 51.6, outliers= new [] {14.6, 17.3, 72.3, 74}}
})
)
.CategoryAxis(categoryAxis => categoryAxis
.Categories(new string[] { "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec" })
.MajorGridLines(majorGridLines => majorGridLines.Visible(false))
)
)
Customizing the Outliers
Outliers are values that appear outside the range between lower and upper values (inner fences). Based on their distance from the inner fences, the outliers in a box plot are mild and extreme. The Box Plot Chart renders them by default as crosses (mild) and circles (extreme).
You can configure the outliers separately and customize them by using:
-
series.outliersfor mild outliers. -
series.extremesfor extreme outliers.