data 309 - data visualization
syllabus
Instructor
- Dr. Josh Thompson | Office - JAMR 2226 | email
Classroom
Data | 2:00 - 3:50 pm | MW | Harden 307 | zoom
Attendance
- Your daily attendance is required. The class is in person but may pivot online due to unforeseen circumstances.
Prerequisites
You need: C- or better in DAT109
Course Links
- Lecture notes and supplementary materials are found at the top on the notes & assignments page.
- Assignments can be found at the top on the notes & assignments page.
- Assignments are to be submitted via Samba Share
Textbook
- Required: R for Data Science - 2nd Ed. by Wickham & Grolemund
- Recommended Tidyverse Cookbook</a
- Recommended for learning R: Hands-On Programming with R
- Recommended for utilizing graphics in R: [R Graphics Cookbok] and [ggplot2
Software
- You need to Install R
- You should intall Positron
- Also might wish to use R Studio
- Within Positron (or RStudio) we will use Quarto to publish our work. Learn how here.
Office Hours
- Monday: 2pm - 3p
- Tuesday: 1pm - 2pm
- Wednesday: 2pm - 3p
- Thursday: 1pm - 2p
Grading
- Weekly Assignments 30%
- Mini-Projects 30%
- Final Project Proposal 5%
- Final Project Deliverable 20%
- Final Project Presentation & Participation 15%
Letter Grades
| Percentage | Letter Grade |
|---|---|
| 93-100 | A |
| 90-92 | A- |
| 87-89 | B+ |
| 83-86 | B |
| 80-82 | B- |
| 77-79 | C+ |
| 73-76 | C |
| 70-72 | C- |
| 67-69 | D+ |
| 63-66 | D |
| 60-62 | D- |
| Below 60 | F |
Learning Outcomes
Upon successful completion of this course students will be able to: - Transform raw data into formats suitable for ana - Perform basic exploratory analysis. - Implement standard techniques for visualizing data in R, including heat maps, contour plots, and scatter plots. - Use Quarto to communicate the analysis and visualization of data.
Evaluation of these learning outcomes will be done through a mix of assignments, projects and presentations.
Course Description
We will cover each chapter of the text.
- Chapters 1-10 | Whole Game | Weeks 1-5
- Chapters 11-13 | Visualize | Weeks 6-7
- Chapters 14-21 | Transform | Weeks 8-10
- Chapters 22-26 | Import | Weeks 11-12
- Chapters 27-29 | Program | Weeks 13-14
- Chapters 30-31 | Communicate | Each week as needed
Late Work Policy
- Assignments turned in late will be penalized 10% per day late.
Academic Honesty:
Cheating is not only unethical and pathetic, but is a violation of the Northern Michigan University Student Code and University Policy and grounds for your dismissal from the University.
Discrimination & Harassment
Northern Michigan University does not unlawfully discriminate on the basis of race, color, religion, national origin, gender, age, height, weight, martial status, handicap/disability, sexual orientation or veteran status. If you have a civil rights inquiry, contact the Affirmative Action Office at 906-227-2420.
Americans with Disabilities Act Statement
If you have a need for disability-related accommodations or services, please inform the Coordinator of Disability Services in the Dean of Students Office at 2001 C. B. Hedgcock Building (227-1737 or disserv@nmu.edu). Reasonable and effective accommodations and services will be provided to students if requests are made in a timely manner, with appropriate documentation, in accordance with federal, state, and University guidelines.
The Registrar
Withdrawing from any course or any matters relating to registration are the responsibility of the student. For more information regarding this topic, check out the Registrars Website