aggregate(Sepal.Length ~ Species, data = iris, sd)
library(ggplot2) ggplot(iris, aes(x = Species, y = Petal.Width)) + geom_violin()
library(reticulate)
use_condaenv(“r-reticulate”, required = TRUE)
pd <- import(“pandas”)
write.csv(iris, “iris.csv”, row.names = FALSE)
df <- pd$read_csv(“iris.csv”)
filtered_df <- df\(loc[df\)Sepal.Width < 3.0,
]
filtered_r <- py_to_r(filtered_df)
write.csv(filtered_r, “filtered_width.csv”, row.names = FALSE)
file.exists(“filtered_width.csv”)