This repository contains the workflow and notebooks for the Week 3 Activity, which focuses on data cleaning and visualization using Databricks.
Before jumping into complex tools or advanced machine learning models, a strong foundation is a must. This activity is designed to practice the essential steps of data preparation—cleaning messy data, handling simple formatting issues, and using charts to answer real business and analytical problems.
- Data Ingestion: Load raw datasets into the Databricks environment.
- Basic Data Cleaning: Handle missing values, correct data types, remove simple duplicates, and standardize formats using SQL.
- Problem Solving with Visualization: Create meaningful charts to directly answer specific business and analytical problems.