What relationships exist between the pre-election polling attributes and the 2020 election results that indicate that former President Trump would or could lose the election

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

What relationships exist between the pre-election polling attributes and the 2020 election results that indicate that former President Trump would or could lose the election?

Use Table 1 and Table 2 to understand what information is available for the project. Download the RData files from this document.

Table 1 
Data Dictionary for the Polling before 2020 Presidential Election Data

Column	Description
State	The target location of the polling sample
Candidate Names	The candidate receiving the percentage of polling votes in pct
Start Date	The first day interviews were conducted for this poll
End Date	The last day interviews were conducted for this poll
Pollster	The name of the polling organization
Sample Size	The size of the sample
Target Population	Whether the population interviewed was adults a, registered voters rv, voters v, or likely voters lv
Percentage	The percentage of the vote the candidate in candidate_namereceived in the poll
Poll Identification Number	Specific poll the data is derived from

Note. The data dictionary of the polling data leading up to 2020 presidential the election is adapted from FiveThirtyEight (2020).

Table 2 
Data Dictionary for the Results of 2020 Presidential Election Data

Column	Description
State	The location of the voting results
Available Electoral Votes	The number of electoral votes allocated to the state in the state field
Biden	The percentage of election votes Biden received
Trump	The percentage of election votes Trump received

Note. The data dictionary of the 2020 presidential election results is adapted from Wikipedia (n.d.).

You will analyze the data in R. You will submit an R script file with programming that demonstrates the collection, cleaning, exploration, and analysis of the data. When you are conducting your research, you will come across key findings. A key finding is a graph that is interesting and must specifically relate to the overall objective of the research project. Only key findings are included in the research paper. Investigating critical findings from multiple perspectives in the programming will demonstrate your understanding of the weaknesses of visual analysis and prevent false conclusions. If you have done this correctly, there should be numerous figures in the programming that are not in the paper. Lastly, make sure that you provide interpretations of the information learned from each figure included in the paper. The report shall also include how these findings relate to the research objective.

When you think you’ve finished your analysis, revisit the objective. Did you achieve the objective? Did you provide an answer or answers to the research question? Were you thorough? Did you make sure that you did not misinterpret or misrepresent the results due to false conclusions?

Good to know

When you initialize the R script file for the assignment, make sure that the file begins with the three leading comments required in every script file. After these leading comments, call the necessary libraries and load the data before documenting other programming code. Don’t forget to use inline comments.

Submission Requirements

 

When you document this information, you will need to write it as paper. This is not a blog, a discussion, or a short answer paper. You will need to include an introduction, a topic sentence, supporting paragraphs, and a conclusion. Not great at writing? Go to Start Here in the main menu and look at the resources available to you. Make sure that you document your work using the standards of APA 7. To help with formatting, use the APA 7 student paper template.

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