Department of Global and Interdisciplinary Studies

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FRI200ZA（情報学フロンティア / Frontiers of informatics 200）
Data Visualization

Youyung Hyun

Class code etc
Faculty/Graduate school Department of Global and Interdisciplinary Studies
Attached documents
Year 2023
Class code A6247
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 火3/Tue.3
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市外濠‐S602
Grade 2～4
Credit(s) 2
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers ○
Interdepartmental class taking system for Academic Achievers (Notes) 制度ウェブサイトの3．科目別の注意事項(1)GIS主催科目の履修上の注意を参照すること。
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Duplicate Subjects Taken Under Previous Class Title
Category (commenced 2024 onwards)
Category (commenced 2020-2023) 200-level Intermediate Courses（中級）
Category (commenced 2016-2019) 200-level Intermediate Courses
Culture and Society

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Outline and objectives

This course aims at learning why and how contemporary organizations perform data visualization from a business perspective and practicing a data visualization tool, called Tableau.

Goal

By participating in lectures and group projects, students will (1) understand the basic of data visualization in contemporary organizations, (2) learn to analyze and critically evaluate ideas, arguments, and perspective, and (3) develop skills on a data visualization tool needed by business professionals in the field most closely related to this course.

Which item of the diploma policy will be obtained by taking this class?

Will be able to gain “DP 1”, “DP 2”, “DP 3”, and “DP 4”.

Default language used in class

英語 / English

Method(s)（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）

This course will proceed with lectures, group presentations, and group projects to practically learn how to use a data visualization tool. For the first half of the semester, the class involves lectures and group presentations that are aimed at understanding the basics of data analytics use (in this course, data visualization tool) in contemporary organizations and how it affects the paradigm of core business processes in the company.
In the second half of the semester, the class involves practical learning of Tableau and group projects. Students will learn how to use software called Tableau from an instructor and work on group projects with using Tableau. An instructor will give feedback and address major questions from students at the end of every class.

Active learning in class (Group discussion, Debate.etc.)

あり / Yes

Fieldwork in class

なし / No

Schedule

授業形態/methods of teaching：対面/face to face

※各回の授業形態は予定です。教員の指示に従ってください。

1[オンライン/online]：Introduction and Overview

Introduction and Overview

2[対面/face to face]：Chapter 1: The basics of data visualization

This class is focused on learning the basics of data visualization.

3[対面/face to face]：Chapter 2: Use of data visualization

This class covers why and how organizations use data visualization for business objectives.

4[対面/face to face]：Chapter 3: Functionalities of data visualization

This class aims at learning different functionalities of data visualization.

5[対面/face to face]：Chapter 4: Use of data visualization tools (1)

This class covers the use cases of data visualization tools.

6[対面/face to face]：Chapter 5: Use of data visualization tools (2)

This class practices storytelling with data.

7[対面/face to face]：Chapter 6: Introduction to Tableau

This class provides basic knowledge of how to use Tableau.

8[対面/face to face]：Chapter 7: Tableau practice

This class focuses on learning data analytics with Tableau (for example, chart, scatterplot, and map).

9[対面/face to face]：Chapter 8: Multivariate visualization

This class helps learn multivariate visualization and create one's own chart.

10[対面/face to face]：Chapter 9: Order of operations

This class covers set with various topics and order of operations.

11[対面/face to face]：Chapter 10: Dashboard and storytelling (1)

This class focuses on structuring dashboard.

12[対面/face to face]：Chapter 11:Dashboard and storytelling (2)

This class helps practices Tableau dashboard and creates storytelling.

13[対面/face to face]：Group project (1)

This class proceeds with group projects (using Tableau) and subsequent discussion.

14[対面/face to face]：Group project (2)

This class proceeds with group projects (using Tableau) and subsequent discussion.

Work to be done outside of class (preparation, etc.)

Preparatory study and review time for this class are 2 hours each.

Textbooks

Cole Nussbaumer Knaflic (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley.

References

1. Cole Nussbaumer Knaflic (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley.
2. Sarikaya, A., Correll, M., Bartram, L., Tory, M., & Fisher, D. (2018). What do we talk about when we talk about dashboards?. IEEE transactions on visualization and computer graphics, 25(1), 682-692.
3. Szafir, D. A. (2018). The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them). interactions, 25(4), 26-33.

Grading criteria

Participation (20%); Weekly assignment (20%); Group presentation(30%); Group project (30%)

Changes following student comments

Not applicable

Equipment student needs to prepare

1.A notebook, the references provided by an instructor
2.Laptop (*downloaded with Tableau)

Others

None.

Prerequisite

None.