Which technique is employed to enhance data clarity when presented?

Study for the AP Computer Science Principles Exam. Use flashcards and multiple choice questions, each question includes hints and detailed explanations. Get ready for the exam!

Data visualization is a technique used to enhance data clarity and understanding by representing complex data sets in graphical formats, such as charts, graphs, and maps. This approach allows individuals to interpret information more easily, identify trends, patterns, and outliers, and communicate insights effectively. By transforming numerical data into visual elements, data visualization makes it much more approachable for audiences, enabling them to grasp key ideas quickly and make informed decisions based on the information presented.

Other techniques listed, such as data aggregation, focus on summarizing or combining data rather than visually representing it. Data mining is aimed at discovering patterns and relationships in large data sets through advanced analytical processes, which is more about analysis than presentation. Data encryption is a security measure that protects data from unauthorized access and does not pertain to data clarity.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy