1) What's the number of relationships?
- Try to get at least 2, based on both dataset. The scenarios are to be built based on the relationships you find.
2) Can I use other visualizations than those in notes and tutorial?
- Highly encouraged to do so. You may find other ggplot2 or other plot types on your search engine.
3) How many graphs should we have?
- Keep it to a maximum of 10.
4) Is there a word count?
- No, however you should keep it concise. Visualizations play a big role, where visuals you produce should be self-explanatory, or can be explained in 1-2 lines.
5) Do we need to submit any presentation or Word document?
- No, do everything in Google Colab and just submit the link.
This is a group assignment. Number of group members: 3 (preferred), 2 (minimum). Kindly inform your tutors on your group selection by end of Week 2. Members should be within same tutorial group. Ensure diversity in group members, meeting 1 of the following criteria: gender, nationality, race, native language. For instance, a group can have members from different genders, or different nationality.
Goal: Visualize the data to best represent the content, making use of both data sets.
Data set A: Government School Pupils by District 2017-2018
Data rows: 1740
Variables:
1. School stage
2. State
3. District Education Office
4. Year
5. School type
6. Sex
7. Number of pupils
Data set B: Government School Teachers by District 2017-2018
Data rows: 1748
1. Year
2. School stage
3. School type
4. State
5. District Education Office
6. Sex
7. Number of teachers
You will need to work collaboratively between team members, as marks will be counted based on amount of collaboration.
Load both data files (use sample Google Colab notebook to get started)
As columns in both datasets do not align exactly, you will need to align them
As the data provided is on school pupils and teachers, think of a relationship between them Based on the relationship you get from the data, use tools such as aggregation or differences (not limited to, but just examples), as data is given for year 2017 and 2018
Based on the new variables, you will then think about how you want to present the data You may present it in combination of charts, tables, or graphs, based on what you get from the data Include references (URLs) for packages used, and if other similar work that is being done
Only submission of the completed Google Colab link is required (ensure your respective tutor and lecturers are included as Commentor)
Late submission: a penalty of 10% per day applies for each day of late submission or edited submission that is past due
Do not make changes once the assignment is past due. Penalty applies strictly based on the last modified (submission) date and time
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