Three Levels of Data Visualization: Design, Storytelling, and Analytical Thinking

The author, with years of experience in data visualization, shares personal insights and divides visualization into three progressive yet interdependent layers: visual design, clear storytelling, and data analysis that incorporates human thinking.

Visualization Design focuses on creating attractive, first‑impression‑capturing graphics that stand out among many charts, emphasizing that good design is essential for users to quickly grasp the data’s meaning.

Clear Storytelling stresses that the ultimate goal of visualization is to help users understand data faster by revealing the story behind it; effective designs enable users to instantly perceive hidden meanings, though flashy charts can sometimes obscure clarity.

Data Analysis with Human Insight acknowledges the limits of AI and automation, arguing that human intervention remains crucial for interpreting data, especially in the big‑data era where complex stories cannot be conveyed by simple visuals alone.

The author notes that the first two layers often rely on data mining and machine‑learning techniques to extract relevant information from large datasets, while the third layer involves users applying their own cognition to interpret the visualized data.

Future articles will further explore data visualization concepts and practices.