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Names of team members that participated in this review: Cooper Likosar, Grant Williams, Pascal Bell, Arthur Herman, and Jonathan Nguyen
Describe the goal of the project.
The project investigates the changes of costs of rent in North Carolina post COVID-19. We think that this research should clearly define what COVID-19 means in this context, as the end of COVID can look different to different demographics.
Describe the data used or collected, if any. If the proposal does not include the use of a specific dataset, comment on whether the project would be strengthened by the inclusion of a dataset.
The data set seems reliable as it is collected by the Department of Housing and Urban Development's Office of Public Development and Research, which is a credible institution on this subject matter. This data set is very dynamic as it has been in progress since the 1980s and it includes many variables of the housing market in NC that can contribute to this study.
Describe the approaches, tools, and methods that will be used.
Mutate new variables in the data set for the purpose of the question.
Found summary statistics such as mean and median price of housing and used this to compare between periods before and after COVID.
Created a polygon graph to demonstrate the variability of housing costs in different counties of North Carolina.
Used violin graphs to show the distribution of housing costs.
Utilized the additive linear regression model to deal with categorical variables.
Provide constructive feedback on how the team might be able to improve their project. Make sure your feedback includes at least one comment on the statistical reasoning aspect of the project, but do feel free to comment on aspects beyond the reasoning as well.
The team should add commentary for different visualizations to better inform an audience who might not know much about the topic. On the visualization, you should also specify which area is considered to be COVID cautious.
What aspect of this project are you most interested in and would like to see highlighted in the presentation.
We are interested to see the demonstration of polygon and violin graphs because it is fascinating to see the different responses across counties in North Carolina using comprehensive models.
Were you able to reproduce the project by clicking on Render Website once you cloned it? Were there any issues with reproducibility?
We were not able to render the website. However, the code was able to run and reproduce.
Provide constructive feedback on any issues with file and/or code organization.
Code organization looks great!
What have you learned from this team's project that you are considering implementing in your own project?
We would love to consider using more creative visualizations to enrich our analysis.
(Optional) Any further comments or feedback?
It would be great to make a more specific research question and title! Overall, GREAT JOB ON YOUR PROJECT!!!
Peer review by: Banana Boat
Names of team members that participated in this review: Cooper Likosar, Grant Williams, Pascal Bell, Arthur Herman, and Jonathan Nguyen
Describe the goal of the project.
The project investigates the changes of costs of rent in North Carolina post COVID-19. We think that this research should clearly define what COVID-19 means in this context, as the end of COVID can look different to different demographics.
Describe the data used or collected, if any. If the proposal does not include the use of a specific dataset, comment on whether the project would be strengthened by the inclusion of a dataset.
The data set seems reliable as it is collected by the Department of Housing and Urban Development's Office of Public Development and Research, which is a credible institution on this subject matter. This data set is very dynamic as it has been in progress since the 1980s and it includes many variables of the housing market in NC that can contribute to this study.
Describe the approaches, tools, and methods that will be used.
Provide constructive feedback on how the team might be able to improve their project. Make sure your feedback includes at least one comment on the statistical reasoning aspect of the project, but do feel free to comment on aspects beyond the reasoning as well.
The team should add commentary for different visualizations to better inform an audience who might not know much about the topic. On the visualization, you should also specify which area is considered to be COVID cautious.
What aspect of this project are you most interested in and would like to see highlighted in the presentation.
We are interested to see the demonstration of polygon and violin graphs because it is fascinating to see the different responses across counties in North Carolina using comprehensive models.
Were you able to reproduce the project by clicking on Render Website once you cloned it? Were there any issues with reproducibility?
We were not able to render the website. However, the code was able to run and reproduce.
Provide constructive feedback on any issues with file and/or code organization.
Code organization looks great!
What have you learned from this team's project that you are considering implementing in your own project?
We would love to consider using more creative visualizations to enrich our analysis.
(Optional) Any further comments or feedback?
It would be great to make a more specific research question and title! Overall, GREAT JOB ON YOUR PROJECT!!!