113年第1學期-1173 資料視覺化分析 課程資訊

評分方式

評分項目	配分比例	說明
Attendance and class paticipation	30	Students are required to attend class
Assignments	30
Final project	40

教育目標

Graphical Data Analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis, data mining, and network analysis. The primary focus of this course is to equip students with the necessary knowledge and skills to utilize computer software, such as Python, R, Jamovi, JASP, and Excel, to analyze and visualize data using graphical displays. By using real datasets, students will learn how graphic displays can reveal hidden patterns and trends in data that are not always apparent through traditional statistical methods. The course will cover a range of topics related to Graphical Data Analysis, including data visualization principles, statistical graphics, exploratory data analysis, and data preparation. By the end of the course, students will have a solid understanding of these concepts and will be able to apply them to a variety of real-world data analysis problems.

基本資料

選修課，學分數：3-0
上課時間：一/6,7,8[M009]
修課班級：共選修1-4(管院開)
修課年級：1年級以上
選課備註：全英授課，開放全校學生修習，限30人。

參考書目

Chang, W. (2018). R graphics cookbook: Practical recipes for visualizing data (2nd ed.). O’Reilly. https://r-graphics.org (Free)