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Computer Science: Data Analysis - Case Study Showcase

April 8, 2025

In today's rapidly digitizing world, data literacy has become a core competency for future talent. This semester, G9 computer course launched a "Case Study Showcase" activity during the "Data Processing and Visualization" unit. By leveraging visual charts and analytical tools to uncover the logic behind datasets, students demonstrated computational thinking and interdisciplinary learning capabilities.

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Prior to the activity, teachers provided students with comprehensive learning guidance and selected online resources, designing real-world data exploration tasks such as Financial Cost Analysis, Game Market Insights, and Culinary Culture Decoding. These cases spanned finance, commerce, marketing, social dynamics, and culinary traditions, grounding abstract data science concepts in the context of daily life situations. Working in teams, students engaged in the full workflow, mirroring the whole data analysis processes.

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Students worked in groups and completed the entire process of data collection, cleaning, analysis, and visualization, experiencing each aspect of real data analysis work. In the presentation of results, some groups used line graphs to analyze the quarterly financial cost trend of a company, revealing the correlation between Research & Development investment and profit growth; some focused on the Top 20 Global Popular Games and publisher sales, decoding user preferences in the game market; and other groups focused on the cultural domain, conducting data modeling and quantitative analysis of cooking ingredients from different countries to explore the regional cultural associations behind cuisine.


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This showcase broke the traditional classroom model and combined programming skills with interdisciplinary thinking. Through programming practice, students not only improved their ability to handle complex problems, but also cultivated information literacy for data-driven decision-making ability. From game rankings to cultural maps, from business analysis to interdisciplinary research, students proved with their actions that data is not just a string of codes or a set of charts, but also a "digital key" to decoding the world.


(Written/Pictures by Tianzhou He, Tao Qian    Reviewed by Qian Zuo)