Kathy Mcclure Midterm assignment

6/1/2021 ITS 530 Midterm Project

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ITS 530 Midterm Project This Project is the Midterm Assessment Dr. Kathy McClure

Last updated May 2021

This assignment requires you to demonstrate your understanding from the Kirk (2019) chapters 1 - 6, in addition to the lessons in R, Units 1 through 5. Remember that your grade is based on your demonstrated understanding of the course content. It is not based on your demonstrated ability to regurgitate others’ ideas or words.

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Considering the polling during the 2020 presidential campaign, using the data consolidated by FiveThirtyEight (2020) and election results from Wikipedia (n.d.):

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

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

1

2

3

4

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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_name

received in the poll

Poll Identification

Number Specific poll the data is derived from

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

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Table 2 Data Dictionary for the Results of the 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.).

Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)Click here to download the data. (polls2020.RData)

Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)Click here to download the data. (results2020.RData)

You will document the objective and results of visual analysis in an APA 7 formatted student paper. This document is not a plan for analysis; this is the results of an executed plan. It may help to think of the paper as a brief business report for a busy executive, with the exception that it is formatted per APA 7.

You will conduct the analysis of the data in R. You are required to submit a .R file, with programming that demonstrates the collection, cleaning, exploration, and analysis of the data. Key findings from the analysis in R will be investigated from multiple perspectives in the programming to demonstrate that the analysis process and visual analysis weaknesses are understood and to

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prevent false conclusions. There should be numerous figures in the programming that are not in the paper.

Only key findings from the analysis in R will be discussed in the paper. Every figure in the paper should be of importance and documented per the standards of APA 7. Interpretations of each figurein the paper must be discussed in the paper, using the figure label to direct the reader to the correct figure.

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, the libraries, and loading the data before you begin documenting other programming code. Additionally, don’t forget to use inline comments.

Make sure that any results discussed in the paper are collected in the R script file. Do you not use other software to analyze this data, unless you plan on conducting the same analysis two times. Reported results not found in the script file will be interpreted as unsupported or erroneous findings,

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because there is no evidence to support the information.

Place figures between complete paragraphs. Tables and figures are never placed within a paragraph. Move the figures to maximize the use of white space, but keep the figures in the order in which they are discussed in the paper. The figure labels must be in this order, as well. For example, the first figure is Figure 1, the second is Figure 2, and so on.

The paper will not include discussions regarding R, RStudio, or programming code. Use real words. Don’t use variable names in place of real words. For example, candidate_names is not a real word. However, you could refer to candidate names, because those are real words.

Submission Requirements When you document this information, you will need to write it as a 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.

Your work with R in RStudio must be documented in a .r script file. You must submit a paper and a script file for this assignment.

This submission differs from previous submissions working in R, because this paper is not a planning document. This is the results; this

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is the report; this is documented as if it’s the information management needs to make a decision.

This document does not have a minimum or maximum length. Typically, this submission is about two pages, not including the cover page or reference section. No external sources are required for this assignment, except for the sources of the data. For every reference listed, there must also be content cited that is derived from the references.

There is no reason to regurgitate the words or ideas of others. I am not interested in your ability to research and repeat the words of others. You can use others’ ideas and credit their work. However, I expect to read your ideas, your experiences, and your words when I read your submitted work.

References FiveThirtyEight. (2020, November 2). 2020 election

forecast [data set and code book] https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/https://data.fivethirtyeight.com/

Kirk, A. (2019). Data visualisation: A handbook for data driven design (2nd ed.). Sage.

Wikipedia. (n.d.). 2020 United States election results [data set]. Retrieved May 8, 2020, from https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/https://en.wikipedia.org/wiki/2020_United_States_presidential_election/

Last updated: May 2021