Cleaning & Preparing Data

🧹 Step-by-Step Data Cleaning

You will learn:

• how to remove missing values

• how to convert text into numbers

• how to scale values

📘 Example Code

import pandas as pd

df = pd.read_csv("cyber_data.csv")

df.dropna(inplace=True)

df['status'] = df['status'].map({'success': 0, 'failed': 1})