---
<p align="center">
<a href="LICENSE"><img src="https://img.shields.io/pypi/l/glook?style=flat-square"/></a>
<a href="https://pypi.org/project/glook/"><img src="https://img.shields.io/pypi/pyversions/glook?style=flat-square"/></a>
<a href="https://pypistats.org/packages/glook"><img src="https://img.shields.io/pypi/dm/glook?style=flat-square" alt="downloads"/></a>
</p>
## Releases
<div align="center">
<table>
<tr>
<th>Repo</th>
<th>Version</th>
<th>Downloads</th>
</tr>
<tr>
<td>PyPI</td>
<td><a href="https://pypi.org/project/glook/"><img src="https://img.shields.io/pypi/v/glook?style=flat-square"/></a></td>
<td><a href="https://pepy.tech/project/glook"><img src="https://pepy.tech/badge/glook"/></a></td>
</tr>
</table>
</div>
# G-Look: Auto EDA
glook is a Python library that provides a graphical user interface (GUI) for Automated Exploratory Data Analysis (Auto EDA). With glook, you can easily visualize and analyze your dataset's characteristics, distributions, and relationships.
## ⚠️ **BEFORE INSTALLATION** ⚠️
**Before installing glook, it's strongly recommended to create a new Python environment to avoid potential conflicts with your current environment.**
## Creating a New Conda Environment
To create a new conda environment, follow these steps:
1. **Install Conda**:
If you don't have conda installed, you can download and install it from the [Anaconda website](https://www.anaconda.com/products/distribution).
2. **Open a Anaconda Prompt**:
Open a Anaconda Prompt (or Anaconda Terminal) on your system.
3. **Create a New Environment**:
To create a new conda environment, use the following command. Replace `my_env_name` with your desired environment name.
- Support Python versions are > 3.8
```bash
conda create --name my_env_name python=3.8
```
4. **Activate the Environment**:
After creating the environment, activate it with the following command:
```bash
conda activate my_env_name
```
## OR
## Create a New Virtual Environment with `venv`
If you prefer using Python's built-in `venv` module, here's how to create a virtual environment:
1. **Check Your Python Installation**:
Ensure you have Python installed on your system. You can check by running:
- Support Python versions are > 3.8
```bash
python --version
```
2. **Create a Virtual Environment**:
Use the following command to create a new virtual environment. Replace `my_env_name` with your desired environment name.
```bash
python -m venv my_env_name
```
3. **Activate the Environment**:
After creating the virtual environment, activate it using the appropriate command for your operating system:
```bash
my_env_name\Scripts\activate
```
## Installation
You can install glook using pip:
```bash
pip install glook
```
## Usage
Once installed, glook can be launched globally from the command line. Simply type `glook` and press enter to start the application.
```bash
glook
```
The glook application GUI will launch, allowing you to perform Auto EDA on your dataset interactively.
<img width="960" alt="image" src="https://github.com/gaurang157/glook/assets/148379526/668aaa96-5883-49eb-aa85-4852df92233a">
## Features
- General Data Insights
- Correlation Coefficient Heatmap
### Univariate Analysis
- Visualize distributions of individual columns using:
- Histograms
- Box plots
- Q-Q plot
- Statistical Calculations:
### Bivariate Analysis
- Explore relationships between two columns using:
- Scatter plots
- Line plots
- Bar plots
- Box plots
- Violin plots
- Strip charts
- Density contours
- Density heatmaps
- **Polar plots**
- **Polar Bar Plot:** Display the relationship between two columns as bars in polar coordinates.
- Select x-axis and y-axis columns to visualize their relationship.
#### Trivariate Analysis
- Analyze relationships between three columns using:
- 3D Scatter plots
- Distplot
- Select three columns to visualize their trivariate relationship.
### Supported Formats
glook supports various data formats, including CSV & Excel.
## Getting Help
If you encounter any issues or have questions about using glook, please feel free to open an issue on the [GitHub repository](https://github.com/gaurang157/glook/). We'll be happy to assist you.
## License
This project is licensed under the MIT License - see the [LICENSE](https://opensource.org/license/mit) file for details.
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