Course homepage of "Programming Language for Data Analytics" @Korea University
- TBA
- Assignment 5 (download)
- Due date: 2020-12-29 23:59
- Rmd files and its output html files must be submitted via e-mail: [email protected]
- Title format: Assignment number, student id, and name
- Example: A5_202012345_홍길동
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Assignment 4 (download)
- Due date: 2020-12-15 23:59
- All required files must be compressed as a single zip file and should be submitted via e-mail: [email protected]
- If necessary, use the comments to explain your answers (If you use Korean for comments (allowed), you must use UTF-8 encoding scheme for the script)
- Title format: Assignment number, student id, and name
- Example: A4_202012345_홍길동
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Assignment 3 (download)
- Due date: 2020-11-24 23:59
- R file with your answer must be submitted via e-mail: [email protected]
- If necessary, use the comments to explain your answers (If you use Korean for comments (allowed), you must use UTF-8 encoding scheme for the script)
- Title format: Assignment number, student id, and name
- Example: A3_202012345_홍길동
- Assignment 3 Score (Download)
- 채점조교: 소규성 석사과정([email protected]), 이윤승 석사과정([email protected])
- 이의신청기간: 12월 18일까지
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Assignment 2 (download)
- Due date: 2020-11-10 23:59
- R file with your answer must be submitted via e-mail: [email protected]
- If necessary, use the comments to explain your answers (If you use Korean for comments (allowed), you must use UTF-8 encoding scheme for the script)
- Title format: Assignment number, student id, and name
- Example: A2_202012345_홍길동
- Assignment 2 Score (Download)
- 채점조교: 김탁영 석사과정([email protected]), 윤훈상 석사과정([email protected])
- 이의신청기간: 12월 11일까지
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Assignment 1 (download)
- Due date: 2020-10-27 23:59
- R file with your answer must be submitted via e-mail: [email protected]
- If necessary, use the comments to explain your answers (If you use Korean for comments (allowed), you must use UTF-8 encoding scheme for the script)
- Title format: Assignment number, student id, and name
- Example: A1_202012345_홍길동
- Assignment 1 Score (download)
- 채점조교: 김지나 석사과정([email protected]), 정의석 석사과정([email protected])
- 이의신청기간: 11월 30일까지
- What is data analytics?
- What can we do with data analytics?
- Data analytics language: R & Python
- Handling Different Data Types: Vector (Slide, R Script, Video)
- Handling Different Data Types: List, Matrix, and Arrary (Slide, R_Script, Video (Part1), Video (Part2), Video (Part 3))
- Handling Different Data Types: Factor and Dataframe (Slide, R Script, Video (Factor), Video (Dataframe))
- Handling Different Data Types: Strings (Slide, R Script, Video)
- Conditions: if, if-else, ifelse (Slide, R Script, Video)
- Loops: for, while, repeat-break (Slide, R Script, Video)
- Functions (Slide, R Script, Video)
- dplyr basics & Select( ) (Slide, R Script, Video)
- Filter( ) (Slide, R Script, Video)
- Arrange( ) & Mutate( ) (Slide, R Script. Video)
- Summarize( ) & Group_by( ) (Slide, R Script, Video)
- XPath syntax, CSS Selector (Slide, R Script, Dataset, Video)
- Web Scraping Exercise 1: arXiv papers (Slide, R Script, Video)
- Web Scraping Exercise 2: IMDB movie reviews (Slide, R Script, Video)
- Web Scraping Exercise 3: Open Forum (Slide, R Script, Video)
- Basic Graph Part 1: Barplot, Dotchart, and Histogram (Slide, R Script, Video)
- Basic Graph Part 2: plot(), Stripchart, pairs() (Slide, R Script, Video)
- ggplot2() Part 1: (Slide, R Script, Video)
- ggplot2() Part 2: (Slide, R Script, Video)
- Markdown syntax, R Notebook example (Slide, Notebook, Output file, Video)