Describe how the research question will be answered, e.g. what approaches / methods will be used.
The group answered the research question using a regression line plotting the increase in house prices with the number of bathrooms (the regression line does show the slope). They also took into account confounding variables, which is important!
Is there anything that is unclear from the proposal?
They did not collate their own data, did not carry out summary statistics and the reader does not get a clear picture of the project. The exact method of eliminating confounding variables is also not indicated, and the reliability of the data is spoken of without any indication of whether a new data set should be added
Provide constructive feedback on how the team might be able to improve their project.
I think this is a good project and they should be able to add more factors or methods because having only one reaction factor and one interpretation factor can lead to an overly simplistic project and by adding methods it can be made clearer, such as visualization and modeling. This is very interesting!
What aspect of this project are you most interested in and would like to see highlighted in the presentation.
I am interested in whether it is possible to really explore a factor with the price of London property. I hope to be able to highlight at the presentation how to get a relationship (positive or negative) between this factor and the price of property in London.
Provide constructive feedback on any issues with file and/or code organization.
The file and code organization looks well organized. The comments in the code help me understand the code well.
(Optional) Any further comments or feedback?
Good job.
Describe the goal of the project. The goal of the project is to discover whether different variables affect the price of property in London.
Describe the data used or collected. This data set was obtained from https://www.kaggle.com/arnavkulkarni/housing-prices-in-london and they used a data set called "Housing Prices in London" which contains a total of 11 variables.
Describe how the research question will be answered, e.g. what approaches / methods will be used. The group answered the research question using a regression line plotting the increase in house prices with the number of bathrooms (the regression line does show the slope). They also took into account confounding variables, which is important!
Is there anything that is unclear from the proposal? They did not collate their own data, did not carry out summary statistics and the reader does not get a clear picture of the project. The exact method of eliminating confounding variables is also not indicated, and the reliability of the data is spoken of without any indication of whether a new data set should be added
Provide constructive feedback on how the team might be able to improve their project. I think this is a good project and they should be able to add more factors or methods because having only one reaction factor and one interpretation factor can lead to an overly simplistic project and by adding methods it can be made clearer, such as visualization and modeling. This is very interesting!
What aspect of this project are you most interested in and would like to see highlighted in the presentation. I am interested in whether it is possible to really explore a factor with the price of London property. I hope to be able to highlight at the presentation how to get a relationship (positive or negative) between this factor and the price of property in London.
Provide constructive feedback on any issues with file and/or code organization. The file and code organization looks well organized. The comments in the code help me understand the code well.
(Optional) Any further comments or feedback? Good job.