A Jupyter extension provides customizable, comparable, and reusable UI to construct guided statistical analysis workflows, for novices in stats and domain experts seeking rigorous guidance.
Tips: you can create a new conda environment to avoid any package conflicts.
conda create -n guidedstatstest jupyter-packaging python=3.11 "jupyterlab<4.0"
First, install the package in editable mode
python -m pip install -e .
And enable widet frontend
# link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# for Jupyter Notebook
jupyter nbextension install --sys-prefix --symlink --overwrite --py guidedstats
jupyter nbextension enable --sys-prefix --py guidedstats
To build the project
npm install
npm run build
To automatically rebuild the project after editing frontend code
npm run watch
To rebuild after editing python package, you need to restart the kernel.
To initialize the UI, first we need to import GuidedStats and load the dataset into a Pandas DataFrame. Then we pass the DataFrame to GuidedStats.
from guidedstats import GuidedStats
import pandas as pd
df = pd.read_csv("test.csv")
a = GuidedStats(df)
a
After that, we can click the desired workflow and start the guidance.
