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This skill transforms complex scientific data into easily understandable "data stories" for the general public. It's designed for users who need to explain data to non-experts and conduct science popularization, such as educators, content creators, or anyone looking to improve data communication efficiency. Through this skill, users gain access to a complete "storytelling data visualization solution." It first "translates" the technical jargon in the data into everyday language, ensuring everyone can understand it. Next, it builds a simple and engaging storyline for the data, making dry numbers come alive. Finally, the skill recommends minimalist chart types and cleverly uses analogies from everyday objects, such as comparing carbon emissions to basketballs and tennis balls, significantly lowering the barrier to understanding. The entire process is as friendly and lively as chatting with a friend, ensuring the output content is at a sixth-grade elementary school level, with each sentence not exceeding 20 characters and containing at least one familiar "everyday analogy." The final output includes a simple explanation of the data, a data storyline, a visualization chart design (including chart type, element descriptions, and everyday analogies), and a concise data summary, allowing users to grasp the core information at a glance.