The group assignment is grade relevant. Check the course syllabus for more details.
- Group Name: GROUP_NAME
- Group Members: LIST GROUP MEMBERS
- GitHub Handles: LIST GITHUB USERNAMES OF ALL GROUP MEMBERS
- Due Date: May 31, 2024 at 23:59 pm
Submission is via GitHub Classroom.
Your most recent commit that is on the main
branch that is available online on GitHub before the due date will be graded.
You must include a html file "assignment_answer.html" in the GitHub repository by the submission deadline
Only most recent commit on the main branch of the online GitHub repository when the assignment is due will be graded.
Your solution must use the Rmarkdown
template provided in the assignment's repository that you cloned for this assignment.
This means your answers will be compiled into a file called assignment_answer.html
when you use the 'Knit' button in RStudio.
Failure to follow these steps and submit assignment_answer.html
in your GitHub repository along with the assignment_answer.Rmd
, will result in a assignment grade of zero.
Each group needs to appoint a group leader. It is the group leaders job to "accept" the assignment via GitHub and then add all group members as collaborators to the group assignment. To do this, the group leader will need each member's GitHub username. The group leader can add group members as follows:
- Go to their group assignment repository on GitHub
- Click on the Settings tab
- Go to 'Manage Access'
- Click on 'Invite teams or people'
- Enter the GitHub usernames of each group member, one by one, and give them 'Write' access
- Click 'Add to this repository'
Group members will then get an email to accept this invitation. Group members must accept this invitation to be able to view and contribute to the assignment.
To work on this assignment, first clone the GitHub repository to your machine:
git clone https://github.com/tisem-digital-marketing/2024-smwa-assignment-02-TEAMNAME.git
where you replace "TEAMNAME" with your group's team name.
After you have cloned the repository to your machine, the data is provided in the data/
subdirectory.
Open an RStudio session and use this folder as a project.
Once the open, work on the assignment by adding your answers to assignment_answer.Rmd
where marked.
Commit your changes periodically so that there is a record of the edits you are making.
To make your edits available to the rest of the group, you will want to push your commits to the online repository.
Do this with either:
git push
from a terminal when your working directory is this folder, or use the Git pane inside RStudio (top right corner) to push using the green "up" arrow.
- Points for each question are clearly marked in the answer document.
- Disputes over grades earned in the assignment must be made in writing, no later than 48 hours after their release. You must clearly state which questions you think are graded incorrectly.
- Disputes take the form of a request for the assignment to be regraded in full. Your grade may increase or decrease as a result of a regrade.
- The grading rubric used by the assessor is available in this repository
- Template Maintainer: Lachlan Deer (
@lachlandeer
) - Course: Social Media and Web Analytics
- Institute: Dept of Marketing, TiSEM
- Template Link: click here
- Current Version: Spring 2024
Lachlan Deer, 2024, Group Assignment 2 Template, Social Media and Web Analytics, TiSEM
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.