中文版：请根据我提供的数据制作一份专业的数据分析PPT。

不要简单展示原始数据，而是完成“数据整理—趋势识别—异常发现—原因分析—关键洞察—结论—行动建议”的完整分析过程。

请重点识别增长、下降、波动、异常值、结构变化以及不同指标之间的关系。根据数据特点选择合适的柱状图、折线图、饼图、散点图、漏斗图、面积图或其他适合的图表。

避免使用没有分析价值的3D图表和过度装饰。每一个图表都必须回答一个业务问题，并配套一句能够直接表达结论的标题。

最终让没有参与数据分析的管理者也能快速理解：发生了什么、为什么发生、影响是什么、下一步应该做什么。

请同时输出每页标题、数据结论、图表类型、数据展示方式、视觉布局和管理建议。

英文版：Create a professional data analysis presentation based on the dataset I provide.

Do not simply display raw numbers. Perform the complete analytical process of organizing data, identifying trends, detecting anomalies, analyzing causes, extracting insights, forming conclusions, and recommending actions.

Identify growth, decline, volatility, outliers, structural changes, and relationships between important metrics. Select appropriate charts such as bar charts, line charts, pie charts, scatter plots, funnel charts, area charts, or other suitable visualizations.

Avoid meaningless 3D charts and excessive decoration. Every chart should answer a business question and have an insight-driven title that communicates the main conclusion.

The final presentation should help non-analytical executives quickly understand what happened, why it happened, what the impact is, and what should happen next.

For every slide, provide the title, data insight, recommended chart type, visualization approach, layout, and management recommendation.

该提示词已在以下工具中验证有效：ChatGPT、Claude、Gemini、Copilot、Gamma、Canva