Nothing
test_that("generates scatterplot", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from cars
using points
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("scatterplot", p)
})
test_that("generates bar chart", {
sgl_stmt <- "
visualize
letter as x,
number as y,
boolean as color
from synth
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("bar chart", p)
})
test_that("generates unstacked bar chart", {
sgl_stmt <- "
visualize
letter as x,
number as y,
boolean as color
from synth
using unstacked bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("unstacked bar chart", p)
})
test_that("generates line chart", {
sgl_stmt <- "
visualize
date as x,
pop as y
from economics
using line
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("line chart", p)
})
test_that("line chart default collection on color column", {
sgl_stmt <- "
visualize
hp as x,
mpg as y,
cyl as color
from cars
using lines
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger(
"line chart default collection on color column",
p
)
})
test_that("generates histogram", {
sgl_stmt <- "
visualize
bin(mpg) as x,
count(*) as y
from cars
group by
bin(mpg)
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("histogram", p)
})
test_that("generates histogram across non-positional groupings", {
sgl_stmt <- "
visualize
bin(mpg) as x,
count(*) as y,
cyl_cat as color
from (
select
*,
cast(cyl as varchar) as cyl_cat
from cars
)
group by
bin(mpg),
cyl_cat
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("histogram across groups", p)
})
test_that("generates horizontal bar histogram without qualifier", {
sgl_stmt <- "
visualize
bin(mpg) as y,
count(*) as x
from cars
group by
bin(mpg)
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("horizontal bar histogram without qualifier", p)
})
test_that("generates line plot with multiple collective lines", {
sgl_stmt <- "
visualize
letter as x,
number as y
from synth
collect by
boolean
using lines
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("line plot with multiple collective lines", p)
})
test_that("generates box plot", {
sgl_stmt <- "
visualize
cut as x,
price as y
from diamonds
using boxes
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("boxplot", p)
})
test_that("generates box plot with default collection on numerical mappings", {
sgl_stmt <- "
visualize
bin(carat,5) as x,
price as y
from diamonds
using boxes
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("boxplot with default collection", p)
})
test_that("uses subquery as a data source", {
sgl_stmt <- "
visualize
hp as x,
mpg as y,
cyl as color
from (
select
hp,
mpg,
cyl::varchar as cyl
from cars
where cyl = 4 or cyl = 6
)
using points
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("subquery data source", p)
})
test_that("generates plot with jittered points", {
set.seed(0)
sgl_stmt <- "
visualize
boolean as x
from synth
using jittered points
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("jittered points", p)
})
test_that("generates linear regression line plot", {
sgl_stmt <- "
visualize
hp as x,
mpg as y,
cyl as color
from cars
using regression lines
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("linear regression line plot", p)
})
test_that("generates regression line layered on scatterplot", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from cars
using points
layer
visualize
hp as x,
mpg as y
from cars
using regression line
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("scatterplot with regression line", p)
})
test_that("generates plot from layered geom expressions", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from cars
using (
points
layer
regression line
)
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("plot from layered geom expressions", p)
})
test_that("generates plot with date and timestamp layered", {
sgl_stmt <- "
visualize
day as x,
number as y
from synth
using line
layer
visualize
ts_col as x,
number as y
from (
select
cast(day + interval '10 years' as timestamp) as ts_col,
number
from synth
)
using line
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("plot with date and timestamp layered", p)
})
test_that("generates plot with log scales", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from cars
using (
points
layer
regression line
)
scale by
log(x),
log(y)
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("plot with log scales", p)
})
test_that("generates plot with ln scales", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from cars
using (
points
layer
regression line
)
scale by
ln(x),
ln(y)
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("plot with ln scales", p)
})
test_that("generates bar chart in polar coordinates", {
sgl_stmt <- "
visualize
letter as theta,
number as r,
boolean as color
from synth
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("bar chart in polar coordinates", p)
})
test_that("generates pie chart", {
sgl_stmt <- "
visualize
count(*) as theta,
cut as color
from diamonds
group by
cut
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("pie chart", p)
})
test_that("generates one dimensional point plot", {
sgl_stmt <- "
visualize
mpg as x
from cars
using points
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("one dimensional point plot", p)
})
test_that("generates scatterplot with size aesthetic", {
sgl_stmt <- "
visualize
hp as x,
mpg as y,
cyl as size
from cars
using points
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("scatterplot with size aesthetic", p)
})
test_that("generates histogram with horizontal bars", {
sgl_stmt <- "
visualize
bin(mpg) as y,
count(*) as x
from cars
group by
bin(mpg)
using horizontal bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("histogram with horizontal bars", p)
})
test_that("generates histogram with non-default num bins", {
sgl_stmt <- "
visualize
bin(mpg, 10) as x,
count(*) as y
from cars
group by
bin(mpg, 10)
using bars
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("histogram with non-default num bins", p)
})
test_that("generates bar chart for avg log-hp per cyl", {
sgl_stmt <- "
visualize
cyl as x,
avg(hp) as y
from cars
group by
cyl
using bars
scale by
log(y)
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("bar chart avg log-hp per cyl", p)
})
test_that("generates faceted scatterplot", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from (
select
*,
cast(cyl as varchar) as cyl_cat
from cars
)
using points
facet by
cyl_cat
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("faceted scatterplot", p)
})
test_that("generates plot faceted on non-categorical column", {
sgl_stmt <- "
visualize
hp as x,
mpg as y
from cars
using points
facet by
cyl
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("non-categorical facet", p)
})
test_that("generates plot with explicit titles", {
sgl_stmt <- "
visualize
hp as x,
mpg as y,
cyl as color
from cars
using points
title
x as 'Horsepower',
y as 'Miles Per Gallon',
color as 'Cylinders'
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("plot with explicit titles", p)
})
test_that("generates plot regardless of case", {
sgl_stmt <- "
VisualiZe
hp aS X,
mpg As y
FrOM cars
usinG PoiNts
"
p <- dbGetPlot(test_con, sgl_stmt)
vdiffr::expect_doppelganger("case insensitive plot", p)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.