🧾 Project Prompt (Assignment)

A client sends you messy CSV files weekly. You need a tool that produces a reliable summary report.

Build a Python CLI program that analyzes a CSV file and outputs a clean report.

Requirements

• Accept a file path via CLI args (e.g., --path data.csv)
• Compute:
  • total rows
  • missing values per column
  • basic stats for numeric columns (min/max/mean/median)
• Output a readable console report
• Also export a JSON summary file (optional but recommended)
• Handle messy data (wrong types, empty rows, missing headers)

🛠 Tools (Tech Stack)

• Python
• pandas (recommended) or csv module (challenge)
• argparse or Typer

💡 Implementation Hints

• Normalize column names (trim, lowercase, replace spaces)
• Coerce numeric columns safely (invalid → NaN)
• Keep functions small: load → clean → analyze → render
• Include 3 sample CSVs for testing (clean, messy, edge-case)

Crea un sistema que lea un CSV (por ejemplo de Pokémon o videojuegos) y permita obtener estadísticas (top, medias, filtros).

Opcional: expón los datos mediante una API.