Data Wrangling With Python Review

Before publishing, the data must be validated against specific quality standards.

Read from CSV, Excel, JSON, SQL databases, and web APIs. Data Wrangling with Python

Include methods like .head() , .tail() , and .shape to quickly assess the "shape" and quality of the data. 2. Automated Cleaning & Transformation Before publishing, the data must be validated against

Automatically detect and remove duplicate rows with drop_duplicates() . or impute missing data (e.g.

Provide tools to identify, drop, or impute missing data (e.g., using fillna() or dropna() ).