資料分析報告架構

報告架構

  1. 緒論
    • 背景
    • 問題/動機
    • 結果簡述
  2. 結果
    • 資料介紹
    • Exploratory Data Analysis/ Analysis
    • Code
    • Results/What we have found
  3. 結論與討論
    • Results recap
    • Answers to the Questions
    • Discussion (Limitation and future studies)

參考資料

Final Project

Possible Topics

  • Data and Story:  Use data summary, plots or data analysis methods you’ve learned in this course or elsewhere analyze a data set to answer some questions or tell a story. You may use the datasets available at R package datasets, Data: R packages. Of course, you can also use other data sets you get from the web.
  • Simulations of theorems or results in probability or statistics: We have done simulations for Law of Large Numbers, Central Limit Theorem. You may construct simulations for other theorems or results of interest to you or your fellow classmates. For example, secretary problem, gambler’s ruin problem, St. Petersberg paradox, Monty Hall problem, just to name a few.
  • Shiny R or R presentation. We will see some examples in class.

Discuss/Check Date: 6/5, 6/7 and 6/14 (若時間需要)。

Upload/Email Submission: (Tentative) Project title/data submission: by 5/31.  Project submission: by AM 11:59 6/4. Submission: You can email your project link to me or pull a request at Final Project Github page.