[DOCS] Improve decimator for datetime axis or improve documentation

Issue Description

The documentation should explain how to make the decimator work with datetime if using datetime is possible. This is either documentation or an issue to improve Taipy.

Right now, the decimation is behaving in a strange way without any good feedback for the user.

from datetime import datetime

import numpy as np
import pandas as pd

from taipy.gui import Gui
import taipy.gui.builder as tgb
from taipy.gui.data.decimator import MinMaxDecimator

x_values = np.linspace(1, 100, 50000)
y_values = np.log(x_values) * np.sin(x_values / 5)
noise_mask = np.random.rand(*y_values.shape) < 0.01
noise_values = np.random.uniform(-0.5, 0.5, size=np.sum(noise_mask))
y_values_noise = np.copy(y_values)
y_values_noise[noise_mask] += noise_values

data = pd.DataFrame({"X": x_values, "Y": y_values_noise})
data["X"] = pd.to_timedelta(data["X"], unit="s") + datetime.now()

decimator = MinMaxDecimator(200)

if __name__ == "__main__":
    with tgb.Page() as page:
        tgb.chart("{data}", type="markers", x="X", y="Y", decimator=decimator)

    gui = Gui(page=page)
    gui.run()

Code of Conduct

[X] I have checked the existing issues.
[ ] I am willing to work on this issue (optional)

Acceptance Criteria

[ ] The documentation set as been generated without error.
[ ] The new text has been passed to a grammatical tool for review.
[ ] The 100 character length limit has been respected as much as possible.
[ ] The links and cross-references in the documentation are working.
[ ] If applicable, screenshots of the new documentation are added to the pull request.

Avaiga / taipy

[DOCS] Improve decimator for datetime axis or improve documentation #2285

Issue Description

Code of Conduct

Acceptance Criteria