- a. 下載R語言 || Download R
- b. 下載Rstudio || Download Rstudio
- c. 下載Git || Download Git
- d. 設立Github || Set up Github
- d-1.註冊帳號 || Register account
- d-2.建立課程專用Repository || Set up repository
- d-3.建立week_1資料夾 || Add folder week_1
- e.上傳本周練習成果 || Upload exercise
- e-1.閱讀例題、分析並完成 || Read practices,analyze the code and finish it
- e-2.完成習題 || Accomplish homework tasks
- e-2a 基礎習題|| Basic tasks
- e-2b 猜數字 || Guess Numbers
- 9/22 00:33 update:Guess Numbers input length filter updated
- 0.熟悉Github Desktop || Get acquainted to Github Desktop
- a.熟悉R Markdown || Get acquainted to R Markdown
- b.上傳本周練習成果 || Upload exercise
- b-1.閱讀例題、分析並完成 || Read practices,analyze the code and finish it
- b-2.完成習題 || Accomplish homework tasks
- b-2a 網路爬蟲 || Crawling
- b-2b OOXX遊戲 || Tic Tac Toe
- 9/27 22:44 update:Invalid input filter bug fixed.
- a.理解ggplot以及其他視覺化資料技巧 || Learning to create a image of data by using ggplot and others
- b.嘗試視覺化資料 || Try to visualize a file of data
- b-1.一般資料 || Normal data
- b-1a.尋找有興趣的資料 || Find a file of data which attracts me
- b-1b.完成資料視覺化 || Complete the task
- b-1.一般資料 || Normal data
- b-2.地圖資料 || Map data
- *後記:被google的API搞的煩到要死,等有空再研究*
- a.完成文字雲 || Create a Wordcloud
- b.完成互動式地圖資料 || Create a map by using leaflet
- a.延續上周課程,利用TF-IDF進行資料分析 || Learning to text mining and analyze with TF-IDF
- a.找到專題主題 || Find a topic for the project
- b.找到所需資料 || Find reachable data about the topic
- c.如果找不到,就重複a,b步驟直到找到為止||If not,repeat step a,b until you find reachable data
- d.利用RMarkdown完成基礎分析 || Use RMarkdown to finish basic analysis
- e.將結果製成shiny檔 || Use Shiny to present the result
- a.課堂上完成電影機器人 || Made a Movie Chatbot in class
- a. 檔案不開新檔,更新原檔,以免混淆隊友。 || Files will not be upload as new files in case of confusing teammates.
- b. 歡迎各位指教並指出我的錯誤。|| Any suggestions and debugging is welcomed.
- c. 歡迎參考我的程式碼截長補短。 || It is welcomed to view my codes as examples to learn and avoid same mistakes I made.
- d. 謝謝各位願意讀完這些 ^w^ ||Thank you for reading these words ^w^