Data Collection and Preparation
Before performing any analysis, data must be collected and prepared for processing. This involves:
- Data Acquisition – Gathering data from databases, APIs, web scraping, and real-time sensors.
- Data Cleaning – Handling missing values, removing duplicates, and standardizing formats.
- Data Integration – Merging multiple datasets from different sources.
- Data Transformation – Converting raw data into a structured format suitable for analysis.
Efficient data collection and preparation ensure high-quality analysis and accurate results.
