Reference no: EM133135589
BUS5VA Visual Analytics - La Trobe University
Data visualisation using Python
Purpose: This assessment aims to develop the understanding of constructing effective data visualisation by using the Python language.
Details:
There are two (2) tasks in this assignment; each is worth 20 marks. Marks will be allocated for:
- Colab notebook(s) that contain all relevant code (including package importing) and run without errors. If a code cell cannot be run, related tasks or subtasks will not be marked.
- Visualisation descriptions that are clear and concise; make reference to the relevant visual elements used (e.g. chart type, colour, size, shape, etc.); and visualisation techniques (e.g. informative titles, highlighting, annotating, faceting, etc.)
- Visualisations that are able to effectively convey information using appropriate techniques.
- You can generate more than one visualisation for each subtask if you think they are needed to fully address the subtask.