Charts

Data

Every layer may have some data associated with it. The "data" refers to a table of data where each row contains an observation and each column represents a variable that describes some property of each observation.

Data in this format is sometimes referred to as tidy data, flat data, primary data, atomic data, and unit record data.

You can pass tidy data to Lets-Plot in form of a Kotlin Map.

Aesthetics

• Point shapes

• Line types

• Color and fill

• Named colors reference

• Text

Cookbooks:

• Point shapes

• Line types

• System colors

• Text

• Overriding default grouping with the group aesthetic

Basic Building Blocks

Points: points, jittered points

Lines: line, path, diagonal line, horizontal line, vertical line, segment, curve, spoke, step-function

Areas: area, band, ribbon

Polygons: polygon, map

Tiles: tiles, rectangles, raster plot

Text: text, text repel, label, label repel

Cookbooks:

• Missing values: line, path, area, and ribbon

• Drawing graph edges

• Formatting labels on plots

• Text geoms

• Repelled labels

• Variadic lines in geomPath() and geomLine()

• Spoke geometry

• Curve geometry

• Jittered points

• Lines in Lets-Plot

• Ribbon geometry

• Alternating ribbon fill with disjoint groups

• How to draw curve fast

• stroke aesthetic

• Configuring nudge units in position adjustments

Demos:

• Inset map of Kotlin island

Discrete

bar, pie, lollipop, boxplot, count/sum

Learn more: Working with Categorical Variables and the asDiscrete() Function

Cookbooks:

• Barchart

• Pie-chart

• Combining discrete and continuous layers

• Annotation labels on pie-chart

• Annotated barchart

• 'boxplot_outlier' statistics

• whiskerWidth parameter of geomBoxplot()

• Lollipop plot

• Count stat

• Handling an overplotting on a scatter plot: geomCount()/statSum()

• Viridis colors

Contours

contours, filled contours

Cookbooks:

• Contours

Visualization of Distribution

histogram, density, dotplot, y-dotplot, violin, sina, ridgeline, frequency polygon

Cookbooks:

• Distributions

• Dotplot geometry

• Y-Dotplot geometry

• Violin plot

• Sina plot

• Ridgeline plot

• The orientation parameter

• Parameter threshold in geomHistogram()

Stats

statECDF(), statSummary(), statSummaryBin()

Cookbooks:

• ECDF stat

• Summary stat

• Binned summary stat

Function

function

Cookbooks:

• Function geometry

Visualization of Errors

crossbar, errorbar, linerange, pointrange

Cookbooks:

• Plotting means and error ranges

• Geometries with dual orientation

Smoothing

smoothing line

Cookbooks:

• Smoothing

• Draw a scatter plot

Bivariate Distribution

2d bins, 2d hexagonal bins, 2d density, filled 2d density, pointdensity

Cookbooks:

• 2d density

• Hexagonal heatmap

• Pointdensity geometry

• Absolute unit specification for width and height aesthetics

Marginal Plots

ggmarginal

See also: Joint Plot, Residual Plot.

Cookbooks:

• Marginal plots

Time Series

scaleXDatetime(), scaleYDatetime(), scaleXTime(), scaleYTime()

Lets-Plot handles all temporal data types through a unified "datetime" scale (excluding duration, which is handled by the "time" scale). This is in contrast to R's ggplot2, which provides separate "date", "time", and "datetime" scales.

Supported temporal data types:

• kotlinx.datetime library:

  • Instant

  • LocalDate

  • LocalTime

  • LocalDateTime

• java.time package:

  • Instant

  • LocalDate

  • LocalTime

  • LocalDateTime

  • ZonedDateTime (timezone-aware)

  • OffsetDateTime (timezone-aware with offset)

• java.util package:

  • Date

Cookbooks:

• Scale time

• Plotting time series

Demos:

• Bitcoin daily trend visualization

Images

geomImshow()

Cookbooks:

• geomImshow()

• The extent parameter

• Parameters norm, vmain and vmax

• "Fisher boat": geomImshow() and raster data

Coordinate Systems

coordCartesian(), coordFixed(), coordPolar(), coordFlip(), coordMap()

Cookbooks:

• Flipped coordinates

• Polar coordinate system

Legends and Guides

guideLegend(), guideColorbar(), guides(), layerKey()

Cookbooks:

• Legend customization

• Manual legend

• Customize legend appearance