# Algerian Forest Fires Dataset Visualization
This project visualizes the Algerian Forest Fires Dataset using a scatter plot to show the relationship between temperature and relative humidity, with date (month-day) information displayed on hover.
## Table of Contents
- Features
- Prerequisites
- Installation
- Usage
- Data
- Visualization
- License
## Features
- Scatter plot showing temperature vs. relative humidity.
- Hover tooltip displaying date (month-day) and relative humidity.
- Visual map for humidity range (high to low).
- Toolbox for saving, restoring, and other operations on the chart.
## Prerequisites
- Python 3.6 or higher.
- Libraries: `pandas`, `pyecharts`, `glob`, `os`. You can install them via:
```bash
pip install pandas pyecharts
```
## Installation
1. Clone the repository:
```bash
git clone
github.com
cd algerian-forest-fires-visualization
```
2. Ensure you have the `Algerian_forest_fires_dataset_UPDATE.csv` file in the appropriate path. If not, place it in the project directory or provide the correct path when prompted.
## Usage
1. Run the Python script:
```bash
python algerian_forest_fires_english.py
```
2. If the data file (`Algerian_forest_fires_dataset_UPDATE.csv`) is not automatically found, you will be prompted to enter its path.
3. The script will generate an HTML file (`algerian_forest_fires_scatter.html`) with the visualization. Open this file in a web browser to view the chart.
## Data
The dataset used is the Algerian Forest Fires Dataset. It contains information related to forest fires in Algeria, including temperature, relative humidity, and date (day, month, year).
## Visualization
- **X-axis**: Temperature (°C).
- **Y-axis**: Relative Humidity (%).
- **Color**: The color of scatter points represents humidity levels (from high to low, indicated by the visual map on the right).
- **Tooltip**: On hover, shows the date (month-day) and relative humidity.