Database Setup
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.
Cars
Setup
dbWriteTable(con, "cars", cars)
dbGetQuery(con, "
select *
from cars
limit 5
")
#> car_id horsepower miles_per_gallon origin year
#> 1 1 130 18 USA 1970
#> 2 2 165 15 USA 1970
#> 3 3 150 18 USA 1970
#> 4 4 150 16 USA 1970
#> 5 5 140 17 USA 1970Example Plots
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)
")
Trees
Setup
dbWriteTable(con, "trees", trees)
dbGetQuery(con, "
select *
from trees
limit 5
")
#> tree_id age circumference
#> 1 1 118 30
#> 2 1 484 58
#> 3 1 664 87
#> 4 1 1004 115
#> 5 1 1231 120
