bharxhav / colstats

A Tkinter app to process large dataframes with a systematic review!

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colstats

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colstats is a graphical user interface tool designed to streamline the process of vetting and preprocessing columns in a dataframe. It generates JSON instructions that can be used to automate column removal and modification during the modeling process.

Features

  • Eliminates manual labeling through Excel
  • Generates JSON instructions for language-agnostic dataframe preprocessing
  • Simplifies column management in data analysis workflows

Installation

  1. Clone this repository
  2. Install the required dependencies:
pip install streamlit pandas

Or if you prefer using conda:

conda install streamlit pandas

Usage

Run the application with:

streamlit run app.py

The app will open in your default web browser. If it doesn't, check the terminal for the Local URL.

File Structure

The entire application is contained in a single file: app.py

Requirements

  • streamlit
  • pandas

Note

This app must be run using streamlit run app.py. It cannot be executed like standard Python scripts.

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A Tkinter app to process large dataframes with a systematic review!


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