Proposal peer review

[kamaljeetsingh14]

The following is the peer review of the project proposal by Datatude Dynamos. The team members that participated in this review are

Ayesha Khatun - @ayeshakhatunsujana Surya Vardhan Dama - @suryavardhandama RAJITHA REDDY TIRUTHANI - @RAJITHAREDDYTIRUTHANI Kamaljeet Singh - @kamaljeetsingh14 Mrunali Yadav - @mrunaliyadavps Kaarthik Sai Patibandla - @zeuszapper

• Describe the goal of the project.

The goal of the project is to analyze the voting patterns of the United States population based on states. In the first question, the team aims to create a map of the United States and color the states based on the party that won during the election. In this second question, the team wants to analyze how the type of voting (which is the "mode" variable in the dataset) varies across different states. Additionally, they want to explore if there is any specific pattern or relationship between the type of voting and the losing party.

• Describe the data used or collected.

The dataset is originally loaded from the MIT Election Data and Science Lab. It contains observations for elections held over 47 years from 1976 to 2022. These columns provide details including the year, state, district, political party, candidate’s name, votes received, etc.

• Describe how the research question will be answered, e.g. what approaches / methods will be used.

To answer the goals of the research, both questions require the use of techniques for filtering, grouping, and visualizing data from the data frames to provide a comprehensive understanding of the political scenario, including the impact of population on voting patterns and election outcomes. The use of maps and visual aids is essential in effectively conveying the results to a broader audience.

• Is there anything that is unclear from the proposal?

For both the questions, Introduction, approach, and discussion section were missing in the proposal. Clarify the timeframe of population data to be incorporated. Is it a specific year, an average over multiple years, or a range that aligns with election years in the dataset. The preview of the dataset also needs to be inserted with proper arrangement and also need to include the references in the proposal.

• Provide constructive feedback on how the team might be able to improve their project.

To further enhance your project on analyzing the US House Election Results

1. Deepen Data Analysis Include Demographic Data: Strengthen your analysis by integrating demographic data (age, education, income, etc.) to see how these factors influence voting behavior and election outcomes. This can provide a better understanding of voter preferences.

2. Expand the Scope of the Analysis Temporal Trends: Analyze how voting patterns have changed over time within the same districts or states. This could help identify shifting political patterns and the factors causing these changes.

• What aspect of this project are you most interested in and would like to see highlighted in the presentation.

The aspect that seems particularly intriguing is the analysis of how voting methods influenced by population demographics impact election outcomes. In the context of recent elections, there's been significant public interest and debate around different voting methods (e.g., mail-in voting, early voting) and their accessibility.

• Provide constructive feedback on any issues with file and/or code organization.

It would be better if there is some more code for better understanding about the project and try to remove the warnings from the website.

• (Optional) Any further comments or feedback?

If possible, try to describe the questions in more descriptive manner.

[christian-ortmann]

Thank you for your feedback! We have modified Question 1 and Question 2 to the best of our ability to reflect your comments. Additionally, we removed the warnings and incorporated the code to display the first few rows of the data.