Course Syllabus
1. Course Description
Data structures and data types. Data wrangling. Data import and export. Types of data visualization. Programming for data visualization in business. Popular packages. Applications and case studies.
2. Course Learning Outcomes (CLO): Students are able to
write programs and fix program errors.
create reports for data visualization with software.
analyze and visualize data in business.
3. Course Contents
| Week | Day | Content | Hour |
|---|---|---|---|
| 1 | Jun 23, 2025 | Course introduction and software for study | 1.5 |
| 1 | Jun 26, 2025 | Markdown language: quarto (1) | 1.5 |
| 2 | Jun 30, 2025 | Markdown language: quarto (2) | 1.5 |
| 2 | Jun 3, 2025 | Data structures and types: vector (1) | 1.5 |
| 3 | Jul 7, 2025 | Data structures and types: vector (2) | 1.5 |
| 3 | Jul 10, 2025 | Holiday (Asalha Bucha) | |
| 4 | Jul 14, 2025 | Data structures and types : Matrix (1) | 1.5 |
| 4 | Jul 17, 2025 | Data structures and types : Matrix (2) | 1.5 |
| 5 | Jul 21, 2025 | Data structures and types : Data Frame (1) | 1.5 |
| 5 | Jul 24, 2025 | Data structures and types : Data Frame (2) | 1.5 |
| 6 | Jul 28, 2025 | Holiday (the King’s Birthday) | |
| 6 | Jul 31, 2025 | Data structures and types : XTS (1) | 1.5 |
| 7 | Aug 4, 2025 | Data structures and types : XTS (2) | 1.5 |
| 7 | Aug 7, 2025 | Data wrangling (1) | 1.5 |
| 8 | Aug 11, 2025 | Holiday | |
| 8 | Aug 14, 2025 | Data wrangling (2) | 1.5 |
| 9 | Aug 18-24, 2025 | Reading week | |
| 10 | Aug 25-31, 2025 | Midterm Exam | |
| 11 | Sep 1, 2025 | Based Plot (histogram and density) | 1.5 |
| 11 | Sep 4, 2025 | Based Plot (Bar plot) | 1.5 |
| 12 | Sep 8, 2025 | Based Plot (plot mathematics function) | 1.5 |
| 12 | Sep 11, 2025 | Based Plot (Scatter plot) | 1.5 |
| 13 | Sep 15, 2025 | Based Plot (Modifies plot) | 1.5 |
| 13 | Sep 18, 2025 | Dashboard (1) | 1.5 |
| 14 | Sep 22, 2025 | Dashboard (2) | 1.5 |
| 14 | Sep 25, 2025 | ggplot2 (histogram and density) | 1.5 |
| 15 | Sep 29, 2025 | ggplot2 (bar plot) | 1.5 |
| 15 | Oct 2, 2025 | ggplot2 (scatter plot) | 1.5 |
| 16 | Oct 6, 2025 | Popular packages (patchwork and plotly) | 1.5 |
| 16 | Oct 9, 2025 | Financial Plot (1) | 1.5 |
| 17 | Aug 13, 2025 | Holiday (The King Bhumibol Adulyadej Memorial Day) | |
| 17 | Oct 18, 2025 | Financial Plot (2) | 1.5 |
| 19 | Oct 27, 2025 (8.00-11.00 AM) | The Final Exam Part 2/2 | 2 |
4. Textbooks/Supplies/Materials/Equipment/ Technology or Technical Requirements:
Laptop or desktop computer with R, Quarto and RStudio software.
Wickham, H., & Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. O’Reilly Media.
Peng, R. D. (2019). R programming for data science. Leanpub.
Matloff, N. (2011). The art of R programming: A tour of statistical software design. No Starch Press.
Kabacoff, R. I. (2015). R in action: Data analysis and graphics with R (2nd ed.). Manning.
Grolemund, G. (2014). Hands-on programming with R: Write your own functions and simulations. O’Reilly Media.
Gillespie, C., & Lovelace, R. (2016). Efficient R programming: A practical guide to smarter programming. O’Reilly Media.
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
Wickham, H. (2016). ggplot2: Elegant graphics for data analysis (2nd ed.). Springer. https://ggplot2.tidyverse.org
Ryan, J. A., & Ulrich, J. M. (2023). quantmod: Quantitative financial modelling framework. R package version 0.4.25. https://CRAN.R-project.org/package=quantmod
Sievert, C. (2020). Interactive web-based data visualization with R, plotly, and shiny. Chapman & Hall/CRC. https://plotly-r.com
Pedersen, T. L. (2022). patchwork: The composer of plots. R package version 1.1.2. https://CRAN.R-project.org/package=patchworkhttps://CRAN.R-project.org/package=patchwork
Kunst, J. (2023). highcharter: A wrapper for the ‘Highcharts’ library. R package version 0.9.4.1. https://CRAN.R-project.org/package=highcharter
Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R markdown: The definitive guide. Chapman & Hall/CRC. https://rmarkdown.rstudio.com
Allaire, J. J., Xie, Y., Dervieux, C., McPherson, J., & Iannone, R. (2022). Quarto: Scientific and technical publishing system. https://quarto.org
5. Class Activities
| Activity | Evaluation Week | Scores |
|---|---|---|
| Attendance | 1-17 | 10 |
| Project 1 | before 7 | 10 |
| Project 2 | before 17 | 10 |
| Project 3 | before 18 | 10 |
Midterm exam 1/2 Topics: Quarto, vector, matrices |
5 | 15 (multiple choice 5, coding 10) |
Midterm exam 2/2 Topics: Data frame, XTS, Data wrangling |
9 | 15 (multiple choice 5, coding 10) |
Final exam 1/2 Topics: Based plot(histogram, barplot, curve, scatter plot, modified plot) |
13 | 15 (multiple choice 5, coding 10) |
Final exam 2/2 Topics: ggplot2(histogram bar plot, scatter plot, modified plot, patchwork and plotly) |
19 | 15 (multiple choice 5, coding 10) |
6. Grade Evaluation
| Grade | Score range (PTS) | GPA Value | Comment |
|---|---|---|---|
| A | 80-100 | 4 | Excellent |
| B+ | 74-79 | 3.5 | Very good |
| B | 68-73 | 3 | Good |
| C+ | 61-67 | 2.5 | Above average |
| C | 55-60 | 2 | Average |
| D+ | 49-54 | 1.5 | Below average |
| D | 43-48 | 1 | Poor |
| F | 0-42 | 0 | Fail |
7. Remarks
The students must be in class for at least 80 percent of the course to be counted as present. (If you are absent from my class more than 10 times, your grade is F)
Cheating involves actual, intended, or attempted deception and/or dishonest action in relation to any academic work of the University. The consequence will be the award of a mark of zero for the module affected.
The students must read and follow the Chiang Mai University Regulations to ensure that you do not cheat in an exam.