yulin871030 / csx_rproject_spring_2018 Goto Github PK

• 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 Chapter7 of Text Mining with R
• tried to crawl Instagram public data using instaR packge but failed due to adjusted policy by Instagram
• finished Chapter4 of Machine Learning with R
• finished project1

• 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 and Final Project Shiny APP

• 0621-0627
• finished Chapter6 of R Graphics Cookbook
• finished Chapter14 of R for Data Science