ecdf with normed histogram

I really like the plotly.express.ecdf and have been using it a lot in my daily work.
When I show ecdf plots in meetings, I usually show it with marginal='histogram', since this is easier understandable for the non-data-scientists in the room.
However, since the amount of data varies I would like to have a normalized histogram, i.e. have percent values.

I know this would be possible with subplots, but there are really a lot of ugly adjustments to make.
So a solution could be to show the percentage in the hint as well, or something like histnorm from plotly.express.histogram.

Example for easy testing:

import plotly.express as px
import numpy as np
import pandas as pd

# Generate random data
np.random.seed(42)  # For reproducibility
data = np.random.normal(loc=0, scale=1, size=1000)  # Normal distribution data

# Create a pandas dataframe
df = pd.DataFrame({'Values': data})

# Create ECDF plot with histogram
fig = px.ecdf(data, 
              ecdfnorm='percent', 
              marginal='histogram')

# Show the figure
fig.show()

Start with the px.ecdf entry point and compare how marginal='histogram' is configured with histnorm in px.histogram. Determine whether normalized marginal bins or percentage hover information is the intended behavior, then verify the result with the provided NumPy and pandas example; done means the ECDF histogram marginal can represent percentages without manual subplots.