Cramer_v_test_on_categorical_features

Cramer_v_test_on_categorical_features

Runs a Cramer's V test on categorical columns in a Gradio page, with a students performance CSV file included. For students and analysts checking how two categories relate.

Made by Sakil on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Gradio app from Sakil runs a Cramer's V test on categorical features. Cramer's V is a statistic that measures how strongly two category columns are linked. The repository includes a file named StudentsPerformance.csv. You use it in a browser, or you run a copy on your own computer.

Who it suits: It suits statistics students and analysts who want to check how two category columns relate, without writing the code first.

Industry | Who uses it | How they use it | Example
Education | Statistics students | See Cramer's V computed on a real table | Open the Space and use the sample data
Research | Data analysts | Check the link between two category columns | Pick two columns and read the score
Software | Python developers | Read how the test is wrapped in a Gradio page | Download the Space and open app.py

Skip it if you need other tests or numeric data analysis, because the source describes one test only.

Where to use it:

• A web browser: go to the Space on Hugging Face and try it with no install
• Windows, macOS or Linux: run a copy with Python

Use case | Who | What they get back
Test two columns | Analysts | A Cramer's V score for the pair
Learn the statistic | Students | A worked example on the sample CSV file
Study the code | Developers | An app.py that wraps one test in a Gradio page

How to set it up: You need a few things in place first.

• Python with pip, on Windows, macOS or Linux
• An internet connection to fetch the files from Hugging Face

1. Install the Hugging Face hub package.
2. Download the Space into a local folder.
3. Move into that folder.
4. Install Gradio and the packages listed in requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download Sakil/cramer_v_test_on_categorical_features --repo-type space --local-dir cramer_v_test_on_categorical_features
cd cramer_v_test_on_categorical_features
pip install gradio
pip install -r requirements.txt
python app.py

How to use it: Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser.

python app.py

Example: You run python app.py inside the project folder and open the page it serves. You choose two category columns from the sample data and read the Cramer's V score the page returns.

For newcomers and experts: If this is new to you, start online. Go to the Space and pick two columns before you install anything. A score near zero means the columns are barely linked, and a score near one means they are tightly linked.

If you know the field, note that Cramer's V comes from the chi-squared statistic and suits nominal data. The source does not say whether the app applies a bias correction, so read app.py to check.

Open the Space or run app.py
The Gradio page loads
You choose two columns
The app computes Cramer's V
The score appears on the page

Good to know: A strong link between categories does not show that one causes the other, so read the score with care.

• License: apache-2
• Cost to run: none named, no API key, account or paid service
• Data it reaches: the sample CSV file in the repository, with no outside account or web service listed

On Hugging Face, 13 November 2026

• Likes: 0
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/Sakil/cramer_v_test_on_categorical_features
• Files: https://huggingface.co/spaces/Sakil/cramer_v_test_on_categorical_features/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.