Quick start

An overview of all things you can do with fleur:

Group comparison

# mkdocs: render
from fleur import BetweenStats, data

df = data.load_iris()

BetweenStats(df["sepal_length"], df["species"]).plot()

Correlation

# mkdocs: render
from fleur import ScatterStats, data

df = data.load_iris()

ScatterStats(df["sepal_length"], df["sepal_width"]).plot()

Categorical data comparison

# mkdocs: render
from fleur import BarStats, data

df = data.load_mtcars()
df = df[df["cyl"].isin([4, 6])]

BarStats(df["cyl"], df["vs"]).plot()