Explain data exploration in AI with the help of an example.
Answers
Answer:
please mark as brainlist
Explanation:
Data exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. ... Data exploration can use a combination of manual methods and automated tools such as data visualizations, charts, and initial reports.
Data exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. This process isn’t meant to reveal every bit of information a dataset holds, but rather to help create a broad picture of important trends and major points to study in greater detail.
Data exploration can use a combination of manual methods and automated tools such as data visualizations, charts, and initial reports