VIP 👤
🏠 Beranda
Benchmark
📊 Semua Benchmark 🦖 Dinosaurus v1 🦖 Dinosaurus v2 ✅ Aplikasi To-Do List 🎨 Halaman Bebas Kreatif 🎯 FSACB - Showcase Utama 🌍 Benchmark Terjemahan
Model
🏆 Top 10 Model 🆓 Model Gratis 📋 Semua Model ⚙️ Kilo Code
Sumber Daya
💬 Perpustakaan Prompt 📖 Glosarium AI 🔗 Tautan Berguna 🔌 API & Router AI
Medium

Strategy for Cleaning Messy CSV Data

#data-cleaning #pandas #python #etl

Outline a Python-based approach to handle missing values, duplicates, and formatting issues in a CSV dataset.

I have a CSV file with 50,000 rows containing customer records. Issues include missing phone numbers, duplicate email addresses, and inconsistent date formats. Provide a step-by-step Python strategy using the pandas library to identify, clean, and standardize this data.