`statSummaryBin()`¶

In [1]:

%useLatestDescriptors
%use dataframe
%use lets-plot

In [2]:

var irisDf = DataFrame.readCSV("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv")
val irisData = irisDf.toMap()
irisDf.head()

Out[2]:

DataFrame: rowsCount = 5, columnsCount = 5

sepal_length	sepal_width	petal_length	petal_width	species
5.100000	3.500000	1.400000	0.200000	setosa
4.900000	3.000000	1.400000	0.200000	setosa
4.700000	3.200000	1.300000	0.200000	setosa
4.600000	3.100000	1.500000	0.200000	setosa
5.000000	3.600000	1.400000	0.200000	setosa

1. The `geom` Parameter¶

In [3]:

letsPlot(irisData) { x = "petal_length"; y = "sepal_length" } +
    statSummaryBin(geom = Geom.crossbar(width = 1.0), binWidth = 0.5) +
    geomPoint(shape = 21, stroke=0.5)

Out[3]:

2. `fn`, `fnMin`, `fnMax` Parameters¶

In [4]:

letsPlot(irisData) { x = "petal_length"; y = "sepal_length" } +
    statSummaryBin(geom = Geom.crossbar(width = 1.0), binWidth = 0.5,
                   fn = "mq", fnMin = "lq", fnMax = "uq") +
    geomPoint(shape = 21, stroke=0.5)

Out[4]:

3. The `quantiles` Parameter¶

In [5]:

letsPlot(irisData) { x = "petal_length"; y = "sepal_length" } +
    statSummaryBin(geom = Geom.crossbar(width = 1.0), binWidth = 0.5,
                   fn = "mq", fnMin = "lq", fnMax = "uq",
                   quantiles = listOf(0.05, 0.5, 0.95)) +
    geomPoint(shape = 21, stroke=0.5)

Out[5]:

4. `center` and `boundary` Parameters¶

In [6]:

fun getPlot(center: Double? = null, boundary: Double? = null): org.jetbrains.letsPlot.intern.Plot {
    return letsPlot(irisData) { x = "petal_length"; y = "sepal_length" } +
        statSummaryBin(geom = Geom.crossbar(width = 1.0), binWidth = 0.5,
                       center = center, boundary = boundary) +
        geomPoint(shape = 21, stroke=0.5) +
        ggtitle("center = $center; boundary = $boundary")
}

gggrid(listOf(
    getPlot(),
    getPlot(center = 1.0),
    getPlot(boundary = 1.0)
), ncol = 2)

Out[6]:

5. Custom Calculations in Aesthetics¶

In [7]:

letsPlot(irisData) { x = "petal_length"; y = "sepal_length" } +
    statSummaryBin(geom = Geom.crossbar(width = 1.0),
                   fn = "median", binWidth = 0.5, color = "white")
        { fill = "..y.." } +
    geomPoint(shape = 21, stroke=0.5)

Out[7]:

statSummaryBin()¶

1. The geom Parameter¶

2. fn, fnMin, fnMax Parameters¶

3. The quantiles Parameter¶

4. center and boundary Parameters¶

5. Custom Calculations in Aesthetics¶

`statSummaryBin()`¶

1. The `geom` Parameter¶

2. `fn`, `fnMin`, `fnMax` Parameters¶

3. The `quantiles` Parameter¶

4. `center` and `boundary` Parameters¶