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SplomPlots.jl/test/runtests.jl

48 lines
741 B
Julia

using Test
using SplomPlots
using DataFrames
# using Plots
using RDatasets
# gr()
# plotlyjs()
using Plots
pyplot()
# pgfplotsx()
# unicodeplots()
df = dataset("datasets", "iris")
# splom(
# df;
# group=:Species,
# columns=[:SepalLength, :SepalWidth, :PetalWidth],
# )
# splom(df)
splom(df; group=:Species)
df = dataset("datasets", "trees")
splom(df)
df = dataset("ggplot2", "diamonds")
splom(
df[1:500:end, :];
group=:Cut,
columns=[:Carat, :Depth, :Price],
)
@test 1 == 1
df = dataset("MASS", "Aids2")
splom(df[completecases(df), :])
describe(df)
splom(
df;
group=:Fail,
columns=[:Temperature, :Pressure, :Damage],
)
splom(df; columns=[:War, :Ver, :Fly, :Hai])
splom(df)
splom(df; group=:Status)