The most elegant solution in the project was: The most elegant solution is definetly when you use "plotly" for creating an interactive graph to display the amount of international workers for the service sector and its sub-industries. It is a good solution to visualize the data.
The hardest section of code in the project to understand was: The section involving the merging of datasets and creating interactive visualizations using widgets might be challenging to understand for some readers because of its complexity, especially if they are not familiar with Pandas, Plotly, and widget functionalities.
This part of the project could be better documented: The section where you define functions and create visualizations using widgets could benefit from more detailed comments explaining the purpose of each function and how the widgets interact with the data. This would make it easier for readers to follow along and understand the code.
An idea for an improvement/clarification could be: Providing additional context or explanations for the analysis and findings presented in the conclusion section could improve the readers understanding of the implications of the data and the proposed solutions for addressing labor shortage in Denmark.
An idea for an extension could be: Expanding the analysis to include more statistical tests and maybe considering the impact of external factors such as government policies or economic changes on labor shortage could provide deeper insights.
The most elegant solution in the project was: The most elegant solution is definetly when you use "plotly" for creating an interactive graph to display the amount of international workers for the service sector and its sub-industries. It is a good solution to visualize the data.
The hardest section of code in the project to understand was: The section involving the merging of datasets and creating interactive visualizations using widgets might be challenging to understand for some readers because of its complexity, especially if they are not familiar with Pandas, Plotly, and widget functionalities.
This part of the project could be better documented: The section where you define functions and create visualizations using widgets could benefit from more detailed comments explaining the purpose of each function and how the widgets interact with the data. This would make it easier for readers to follow along and understand the code.
An idea for an improvement/clarification could be: Providing additional context or explanations for the analysis and findings presented in the conclusion section could improve the readers understanding of the implications of the data and the proposed solutions for addressing labor shortage in Denmark.
An idea for an extension could be: Expanding the analysis to include more statistical tests and maybe considering the impact of external factors such as government policies or economic changes on labor shortage could provide deeper insights.