Nothing
knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.width = 7, fig.height = 4.5 )
The examples on this page will use an in-memory DuckDB database loaded with data. Multiple datasets are used and the page is organized by the dataset being analyzed.
library(rsgl) library(duckdb) con <- dbConnect(duckdb())
dbWriteTable(con, "cars", cars) dbGetQuery(con, " select * from cars limit 5 ")
dbGetPlot(con, " visualize horsepower as x, miles_per_gallon as y from cars using points ")
dbGetPlot(con, " visualize horsepower as x, miles_per_gallon as y from cars using ( points layer regression line ) facet by origin scale by log(x), log(y) ")
dbGetPlot(con, " visualize bin(miles_per_gallon) as x, count(*) as y from cars group by bin(miles_per_gallon) using bars ")
dbGetPlot(con, " visualize origin as x, miles_per_gallon as y from cars using boxes scale by log(y) ")
dbWriteTable(con, "trees", trees) dbGetQuery(con, " select * from trees limit 5 ")
dbGetPlot(con, " visualize age as x, circumference as y from trees collect by tree_id using lines ")
dbGetPlot(con, " visualize age as theta, radius as r from ( select *, circumference/(2*pi()) as radius from trees ) collect by tree_id using lines ")
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