Briefly explain Data Exploration from AI project framework.

Data Exploration is the stage of the AI Project Cycle in which the collected data is examined carefully to understand its structure, patterns, trends, and relationships. It helps in identifying useful insights, detecting anomalies or unusual behaviour, and making the data easier to interpret through data visualisation tools such as charts and graphs. This stage also helps in selecting a suitable model for the next stage of the AI Project Cycle.