Argolytics / README.md
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A newer version of the Streamlit SDK is available: 1.59.1

Upgrade
metadata
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:

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):

streamlit run argo_dashboard.py

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


⭐ 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.

⭐ 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! 🚀