Grading criteria for the final assignment¶
The grading is based on a typical 0-5 scale.
The following aspects are considered in the assessment
Data preparation, analysis & visualization (3/5 of final grade):
Reading and manipulating data
(Spatial) data analysis steps
Quality of visualizations (maps, graphs)
Is the code written in a modular way (avoid repetition eg. using functions and for-loops)
Does everything work as it should
Overall difficulty of the analysis task is taken into account in the assessment
Overall documentation of the work (1/5 of final grade)
Is there a general description in about the research problem / purpose of the tool?
Is the usage of the tool/ available functions described and demonstrated clearly?
Are all input data and output results (maps, graphs) presented and explained clearly?
Is the code easy to read and well-formatted (following the PEP8 guidelines)
Other merits in the work (~1/5 of final grade):
Good style of coding (writing efficient and well-documentent code)
Something in the work is exceptionally well done
Some problem in the code is solved in a “smart” way
The work is exceptionally well documented
The visualizations are exceptionally good
Additional features are added (eg. steps 5-6 in accesViz, or some other features that were not required)
The workflow should be repeatable and well documented. In other words, anyone who gets a copy of your repository should be able to run your code, and read your code.