Datacmd

Abstract

1. Introduction

Tired of bloated web UIs? datacmd brings data visualization back to where real devs live: the terminal.

It follows my obsession with data, which I developed by building https://datastripes.com, the web data engine that transform data analysis into simple flows.

2. Objective

Datacmd is the fastest, coolest way to turn raw data into stunning terminal dashboards. No setup, no fluff — just run a command and boom, your CSV or API becomes a live data experience. ⚡ CLI dashboards have never been this fun.

This project demonstrates how Go can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Go 1.20 or later
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/VincenzoManto/Datacmd.git
cd Datacmd

git clone https://github.com/VincenzoManto/Datacmd.git
cd datacmd
go mod tidy

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by VincenzoManto and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.