- Name: Dennis Tseng
- Major: Business Administration
- School: National Taiwan University
- Goal: Using R to solve daily problems
"I thoroughly disapprove of duels. If a man should challenge me, I would take him kindly and forgivingly by the hand and lead him to a quiet place and kill him."
--- Mark Twain
- self-studied 12+ courses on Datacamp
- finished first 7 chapters of The art of R programming
- finished Hands-On Programming with R
- Homework:
HW2
,HW3
,HW4
,HW5
- Project:
project1
,project2
,project3
,project4
,project5
,Final Project slide
,Final Project Website
,Final Project Shiny APP
- finished Chapter1 & Chapter2 of R for Data Science
- finished R string manipulation & R markdown courses on Datacamp
- finished Chapter7 of Learn R
- learned stringr packge
- finished Chapter3 & Chapter4 of R for Data Science
- recommended two sites for R4DS' excercises: Nate Day and cimentadaj's github
- finished
HW2
aiming to list courses on Datacamp- learned kableExtra packge
- finished ggplot2 chapter of R in action 2nd
- finished
HW3
aiming to practice data visualization- finished first theree chapters of Supervised Learning courses on Datacamp
- recommended Quick Guide to Data Journalism, providing a complete gide to help become a data journalist
- finished Chapter5 & Chapter6 of R for Data Science
- finished Chapter1 & Chapter2 & Chapter3 of Text Mining with R
- recommended two sites for tf-idf concepts in Chinese text mining: intro of text preprocessing and tf-idf and tf-idf text mining: with PTT NBA example
- recommended R Notebooks tutorial on Rstudio
- finished
HW4
aiming to get data using API and take use of wordcloud
- finished Chapter7 & Chapter8 of R for Data Science
- finished Chapter4 of Text Mining with R
- had a general understanding of css and Xpath
- practiced web crawling using rvest
- recommended two sites for web crawling in R: NTU CSIE training: using R to do web crawling, use xml2 to scrap CIA decrypted datamase, and a series of R web crawling which includes intro of using R to crawl mutiple types of objects such as css, xpath, ajax, etc.
- finished Chapter5 & Chapter6 of Text Mining with R
- finished Chapter1 & Chapter2 & Chapter3 of Machine Learning with R
- recommended a sites for data visualization in data journalism using ggplot2 by a reporter from Finantial Times: ggplot2 as a Creativity Engine
- finished
HW5
aiming to practice tf-idf concept in R
- finished Building Web Applications in R with Shiny courses on Datacamp
- finished
project2
- finished
project3
exploring Titanics dataset on Kaggle- results:
project3.csv
- finished Chapter1 & Chapter2 & Chapter3 of R Graphics Cookbook
- practiced ggplot2 with NTUSC data
- finished Chapter4 of R Graphics Cookbook
- finished Chapter5 of R Graphics Cookbook
- finished Chapter9 & Chapter10 of R for Data Science
- 10.4.4 ("What weather conditions make it more likely to see a delay?") of R for Data Science is worth noting
- finished Chapter11 of R for Data Science
- finished Chapter12 of R for Data Science
- practiced shiny with NTUSC data
- finished Chapter13 of R for Data Science
- finished
final proposal
for NTUSC data
- finished
final presentation
for NTUSC data
- 0621-0627
- finished
Final Project Website
andFinal Project Shiny APP
- 0621-0627
- finished Chapter6 of R Graphics Cookbook
- finished Chapter14 of R for Data Science