2025 Taiwan & Korea Open Data Analysis Project
3 mins
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Written by Hsieh Chih-Yu


Daily Activity Sketchh2

DateActivity
Aug 19Meet study partners, ice-breaking, open data introduction
Aug 20Project idea and making
Aug 21Project sharing, visit Google office

Memorable Highlightsh2

  • Working and learning with Korean partners
  • Visiting Google’s office in Taipei 101

Reflectionsh2

這次很高興有機會可以成為班上前20名的同學代表參加臺韓學生交流公開資料分析專題的活動,從第一天的會面到第三天的Google參訪,真的是收穫滿滿。

首先,第一天抵達了國立師範大學和平校區,在那裡見到了我的兩位韓國學伴,雖然很想趕快與他們交流溝通,但是因為語言的不通,我們最後仍以訊息傳送的方式了解彼此。這次的上課老師是 JP老師,剛開始的時候老師為了拉近與學生的距離,特別挑了一支舞蹈邀請我們暖暖身,接著就是重要的公開數據介紹了。老師講解了公開數據的三個特點、如何五步驟完成公開資料專案,並介紹了幾種數據處理的方式。

再來輪到我們發想專題,我們最後決定以「臺灣與韓國的老年人口」為主軸做發想,製作了「Cheonwan」專題,並且成功在第三天的發表會上展示了我們的成果,也如願參觀了Google的辦公室,從77樓俯瞰下去,景色真的很漂亮!謝謝羅老師給了我機會參加這次活動!


I was very happy to be one of the top 20 students in my class to join the Taiwan-Korea Student Exchange: Open Data Analysis Project. From the first day’s meeting to the third day’s Google office visit, I learned a lot.

On the first day, I went to NTNU Hoping Campus and met my two Korean partners. I wanted to talk with them, but because of language problems, we mostly used messages to communicate. The teacher, Professor JP, started with a short dance to help us feel relaxed, then gave an introduction to open data. He explained three features of open data, a five-step process to finish a project, and some methods for data processing.

For our project, we chose the topic “Elderly Population in Taiwan and Korea” and created “Cheonwan.” On the third day, we presented our work successfully and then visited Google’s office. The view from the 77th floor was amazing. I am very thankful to Professor Lo for giving me this chance to join the event.


Event Photosh2

  • JP teaching
    IMG_7269

  • Group partners
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  • Practicing presentation
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  • Professor Lo and JP
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  • Presenting at Google
    IMG_7591

  • Group photo
    IMG_7692


Project Presentationh2

  • View on Website: Link
  • View on Canva: Link

Attachmentsh2

  • Tool I made for analyzing CSV files and making charts (GitHub Link)

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