IBM Data Science Test 2025 – 400 Free Practice Questions to Pass the Exam

Data visualization aims to present complex data in an understandable format. It transforms raw data into visual representations such as charts, graphs, and maps, making it easier for individuals to interpret and draw insights. This process helps to highlight patterns, trends, and outliers that may not be immediately apparent in raw numerical data. The primary goal is to enhance comprehension and facilitate decision-making by conveying information in a visually appealing and intuitive manner.

The other choices do not align with the fundamental purpose of data visualization. Analyzing raw data without context would not provide clarity or insights, obscuring data for confidentiality goes against the transparency that visualization seeks to achieve, and preparing data for machine learning, while important, does not focus on the communicative aspects of visualization aimed at enhancing understanding.