# 📘 Urecsys EDA Tool
Welcome to the Urecsys Exploratory Data Analysis (EDA) tools. This toolkit provides various features for analyzing and visualizing your datasets.
## Overview
EDA is a crucial step in the data analysis process that helps you:
- Summarize main characteristics of datasets
- Detect anomalies
- Uncover patterns
- Visualize data relationships
## Getting Started
1. Set up a virtual environment:
```bash
python -m venv .venv
source .venv/bin/activate
```
> **Tip**: You can also create a virtual environment in VS Code by pressing `Ctrl+Shift+P` (`⌘ + Shift + P` on macOS), typing `Python: Create Environment`, and following the prompts.
2. Install dependencies using Poetry:
```bash
poetry install
```
3. Launch the EDA tool:
```bash
streamlit run 0_📘_EDA.py
```
> **Tip**: You can type `streamlit run 0` and press Tab for auto-completion
4. Once launched, navigate to 🏠Overview in the sidebar
5. Upload your pickle file to begin analysis
## Development
### Adding New EDA Features
New EDA tools should be added under the `eda/pages` directory following this naming convention:
```
<number>_<emoji>_<title>.py
```
Example: `1_📊_overview.py`
This naming pattern ensures proper ordering and visual organization in the Streamlit sidebar.
To create a new EDA page, you can start by copying the `101_📝_Template.py` file. This template provides a basic structure for your new page.
Replace `<number>`, `<emoji>`, and `<title>` with appropriate values for your new page. This will help maintain consistency and organization within the project.
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