README.md

---
title: Argolytics
emoji: 🌊
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.40.0
app_file: streamlit/dashboard.py
pinned: false
---

# How to Run the Dashboard

This guide explains how to run the **Argo Dashboard** created using Python and Streamlit.

---

## ⭐ 1. Install Python

The dashboard runs using **Python**.

* Download and install Python from the official website.
* Make sure to check the box **“Add Python to PATH”** during installation.

---

## ⭐ 2. Install the Required Python Libraries

Your dashboard uses several libraries:

* Streamlit
* Pandas
* Plotly
* Matplotlib
* Cartopy

Install them using this command:

```bash
pip install streamlit pandas plotly matplotlib cartopy
```

You only need to do this once.

---

## ⭐ 3. Keep Dashboard File and Data Files Together

Your file:

* `/Code/argo_dashboard.py`

Your data files:

* `/Data/total_dataset.csv`
* `/Data/bio_dataset.csv`

Make sure all files are in the **same folder** or update correct file paths in the code.

---

## ⭐ 4. Run the Dashboard Using Streamlit

Use Command Prompt (Windows) or Terminal (Mac/Linux):

```bash
streamlit run argo_dashboard.py
```

Streamlit will launch the dashboard and open it in your browser.

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## ⭐ 5. View and Use the Dashboard

* The dashboard opens like a **webpage**.
* You can interact with maps, charts, and tables.
* Filters will update results instantly.

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## ⭐ 6. Stop the Dashboard

To stop Streamlit:

* Close the browser tab
* Press **CTRL + C** in Command Prompt/Terminal

---

## ✅ Summary

Running your dashboard involves:

1. Install Python
2. Install required libraries
3. Place all files in correct folder
4. Run Streamlit command
5. View dashboard in browser
6. Stop with CTRL + C

---

You are now ready to run your Argo Dashboard successfully! 🚀