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A newer version of the Streamlit SDK is available: 1.59.1
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:
- Install Python
- Install required libraries
- Place all files in correct folder
- Run Streamlit command
- View dashboard in browser
- Stop with CTRL + C
You are now ready to run your Argo Dashboard successfully! 🚀