Progress Journals
Sorted by first name
- Alp Biberoğlu
- Berahan Mermer
- Damla Yağmur Göksu
- Deniz Argüden
- Eren Demir
- Gülnur Acar
- Ilgaz Yüksel
- Oğuz Öcal
- Sezgin Yıldız
- Tarkan Açıkelim
- Tayfun Gümüş
- Zeynep Kavcıoğlu
Group Progress Journals
- Group 1 - Deniz-Zeynep-Tayfun-Berahan
- Group 2 - Ilgaz-Oğuz-Tarkan-Yağmur
- Group 3 - Gülnur-Sezgin-Eren-Alp
Week 13 (May 7, 2018)
New Assignments and Deadlines
Also on Moodle
- Group Project Part II - Group Progress Journal Update (Group) (May 14, 23:59)
- Progress Journal and Assignment 1 (Individual) (April 10, 23:59)
- Group Project Part I - Group Progress Journal Update (Group) (April 16, 23:59)
- OSYM Data Tidy Analysis Exercise (Individual) (April 20, 23:59)
- Shiny Assignment (Group) (data file) (April 25, 23:59)
- ML Assignment (Individual) (April 30, 23:59)
Week 10 (April 9, 2018)
Week 4 - 8 (Feb 26, 2018 - March 26, 2018)
- Tidyverse Introduction 2: ggplot2 (html | pdf)
- Intro to ML - 1 (html | pdf)
- Intro to ML - 2 (html | pdf)
- Data Sets
Assignment 3 - Some Initial Data Analysis (Due Date: Mar 12, 23:00)
- Download and load OSYM Data.
- Using dplyr explore the data. See some examples here in group progress journals.
- Report your steps, your code and findings using RMarkdown generated html files. Two or three analyses are fine. You can work in groups of 3 or temporarily work individually.
- You don’t need to submit anything but next week (Mar. 12) I will ask you to present some of these findings in class.
Assignment 2 - Set Up Your Progress Journal (Due Date: Mar 12, 23:00)
- With the instructions on moodle, update your progress journals.
Week 4 (Feb 26, 2018)
Assignment 1 - Find Examples (Due Date: Feb 26, 19:00)
-
Finish the Base R Exercises of Week 2. Do not report, just code them yourself. We are not going to return to base R but it is essential that you get them well enough.
- Learn RMarkdown, it is easy. Here is some material to get you started.
- Find some very good material from RStudio Conference 2018 and even you can check 2017 conference. Links are given below.
-
Describe your current work and position. Find three good examples about R related to your work that can help you.
-
Prepare your Rmd files and generated html files but, do not submit yet. We are going to learn Github repositories and GitHub Pages. See the instructor’s example from here and get the example Rmd file from here.
- Strongly recommended: Subscribe to RWeekly and R-Bloggers.
Week 2 (Feb 12, 2018)
Extra Materials
For audiovisual learners, some webinars here.
dplyr
- Official dplyr tutorial
- dplyr join functions
- dplyr join functions official tutorial
- dplyr Cheat Sheet
ggplot2
RMarkdown
- Introduction to RMarkdown - Official
- R4DS Book - Communication
- DataCamp - Authoring R Markdown Reports Free Part
- RMarkdown Cheat Sheet
Shiny
RStudio
Supplementary Documents
External Good Resources About R and Data Science
- Introduction to Statistical Learning
- R for Data Science
- R’a Hızlı Giriş (Türkçe)
- The Elements of Statistical Learning
- Advanced R
- Bookdown Compilation
- Akademik Bilişim 2017 - R ile Veri Analizi Dersi
- BOUN-FE 522
- Learn X in Y Minutes - R
- dplyr vignettes
- ggplot2 workshop
- RStudio Cheat Sheets (Base R, dplyr, ggplot2, RMarkdown etc.)
- R Reference Cards
- data.table Cheat Sheet
Data Sets for Prospective Projects
- YÖK
https://yokatlas.yok.gov.tr/ https://istatistik.yok.gov.tr/
- ÖSYS
http://www.osym.gov.tr/TR,6552/sureli-yayinlar.html
- EPİAŞ
https://seffaflik.epias.com.tr/transparency/
- SPK
- Merkez Bankası - CBRT
- Emeklilik Gözetim Merkezi
http://www.egm.org.tr/?pid=351
- TURKSTAT - TUIK