Final answer:
Data Exploration is the process of discovering hidden patterns and relationships in data by using data visualization techniques such as line and pie graphs, as well as descriptive statistics. Option 4 is correct.
Step-by-step explanation:
The term for discovering hidden relationships using data visualization is Data Exploration. Data exploration involves analyzing datasets to find underlying patterns or relationships. This process typically leverages various types of graphs such as line graphs, which can show the relationship between two variables, and pie graphs, which can represent proportions of a whole.
For instance, a pie graph can show how a budget is allotted across different departments in a business, illustrating patterns or relationships between spending and departments. Besides graphical methods, data exploration can also include descriptive statistics, such as calculating the average of a dataset, to summarize the data.
The term for discovering hidden relationships using data visualization is Data exploration. This involves analyzing and interpreting data to identify patterns or relationships. Through data visualization, data sets can be represented graphically, allowing for easier identification of trends or connections.