| title | R for Data Journalism | ||
|---|---|---|---|
| author | HSIEH, JI-LUNG | ||
| date | 2025-04-14 | ||
| site | bookdown::bookdown_site | ||
| output | bookdown::gitbook | ||
| documentclass | book | ||
| bibliography |
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| biblio-style | apalike | ||
| link-citations | true | ||
| github-repo | rstudio/bookdown-demo | ||
| description | For my Class teaching how to make data news reports |
這本書是寫給臺大新聞所「新聞資料分析與視覺化」課程使用。該課程並重三個面向的訓練：程式語言、視覺化、資料新聞。學生必須先能夠熟練地使用R語言來操作、讀取、清理、視覺化資料；然後以產製新聞為課程目標，了解資料要如何清理，以及選擇適合的視覺化的方法來強化新聞敘事，並避免視覺化方式引起讀者對新聞的理解謬誤。準此，本書分為幾個部分，包含PART I介紹程式語言基礎；PART II則以國際或國內新聞為個案，來介紹資料獲取（爬蟲）、清理、合併、篩選、轉換；PART III則著重如何用資料視覺化來強化敘事。
本書所沿用的資料分析與視覺化案例均為國內、國外的新聞案例如各國產假支薪等級、居住正義、空氣污染、人口議題、COVID-19、資源區域分佈不均、選舉與公投、運輸交通等相關議題的新聞。並大量採用紐約時報挑選作為數據理解與視覺化推廣的「What's going on in this graph?」系列新聞，包含美國不同年代各年齡層的淨資產來做視覺化案例。在視覺化教材的設計上，本書大量參考紐時「What's going on in this graph?」的分類與[@wilke2019fundamentals]所著「Fundamentals of Data Visualization」一書的內容安排，強調利用資料視覺化方法來呈現新聞數據中的數量、分佈、比例、趨勢等，並均換用國內或紐時的相關資料新聞案例做範例，以利中文讀者的理解。
學習路徑
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