Open margauxgo opened 4 months ago
@margauxgo The challenge came in right from the choice of dataset, with a limited exposure to data science and a field of specialization, it's all not quite easy for a beginner. Nevertheless, I'm looking forward to improving as I advance in my career and I trust that these remarks don't mean that I failed 🥲.
Haron Otim BSc Civil Engineering (Yr.3) Makerere University, Uganda
@Otim-Haron Congrats again on accomplishing your capstone project! We are happy that you went through the course with us and applied the skills in the project. Please excuse us for the late review, and note that it does not have any assessment on the writing content of the report.
Let us now have a look at your project. You completed most items in the Required Items. Awesome! Some items that can be improved are:
Technical
The report renders without errors to HTML format and contains at least five chapters of heading level 1 that are named: Introduction, Methods, Results, Conclusions, References.
install.packages()
was not included. I advise you to add it at the beginning of your file. It is moreover recommended to separate it from the actual package importinglibrary()
, and to set different options for these two code chunks. For example, seteval=FALSE
for the package installation code.read_csv()
andwrite_csv()
calls to be reproducible, you need to specify a correct file path, i.e. one that does not only work from your Posit Cloud repository. For this, I would suggest to use the packagehere
.Each data visualisation has a label defined in the code-chunk options. & Each data visualisation has a caption defined in the code-chunk options.
The report has at least one table with summary statistics (e.g. count, mean, median, standard deviation, etc.).
Data
Every item in this section is complete. Good job!
Intellectual
Figures and tables in Results section are interpreted with 2 to 3 sentences each.
Conclusions concisely summarize findings in a bullet point format.
Lastly, I would have recommended you to use a dataset with more variables to be able to practice visualizations a bit more in details. However, your conciseness makes the report really enjoyable to read. And overall, you did a great job!