How does data visualization differ from a raw data table in terms of purpose?

• A. Visualization provides a graphical representation to quickly grasp trends.
• B. Tables are always easier to read than visualizations.
• C. Visualization always contains more data details.
• D. Visualization cannot show outliers.

Answer: (C)

Visualizations are built to communicate insights quickly by turning numbers into shapes, lines, and colors. A chart or graph lets you see trends, comparisons, and patterns at a glance, so you can grasp what’s happening without scanning every value. A raw data table, on the other hand, lists exact numbers row by row, which is essential when you need precise values, want to perform calculations, or verify specific data points. While charts summarize and highlight key relationships, they often omit detailed individual values to keep the message clear. So, the purpose difference is: visualization emphasizes fast understanding of overall patterns, whereas a table emphasizes precise data lookup and analysis. The idea that a visualization always contains more data details isn’t correct; it typically conveys less granular detail in service of quick comprehension.