Business Finance Homework Help

Part 3: Visualizing Data

Along the same thought process as Part 1 and Part 2 of the visualization project, for Part 3 you will visualize data. For this assignment, your assignment objective is still understanding the data, not presenting visualizations to an audience. When you visualize the data, make sure that you view the same information from multiple perspectives. A different perspective may be found by using different geometry or a different subgroup, like a filter or a grouped summary (group_by and summarise) in a visualization. 

The data and research focus you will use are the same as what you were assigned in Part 1 and Part 2 of this project. 

You are responsible for submitting 2 items: a paper and an R script file.

Paper

• Update the plan you had established in the first part of the visualization project. If there are updates needed in the cleaning or exploration, or in the editorial thinking, update that information, as well. Make sure to update the introduction and conclusion, as needed.
• The primary goal of this assignment is to continue the visualization project, viewing the information, as it relates to the research question, from multiple perspectives. 
• There should be no less than 10 different visualizations in your paper. You can save them from the Plot pane in RStudio. The visualizations should be similarly sized. The x- and y-axis titles must be legible in the paper. If the text is too small, make the plot smaller before saving. You can do this by modifying either the width or the height after selecting “Save as Image…”

• Your figures will not contain any other part of RStudio. Do not include images of programming code, nor programming code in your paper. That information is only needed in the R script you submit. This is not a ‘how-to’ in R.
• When you document your work in your paper, provide an interpretation of every figure in your paper. Label every figure with the word “Figure” and a numeric index, like Figure 1, followed by Figure 2. Keep your figures left-align. When you provide your interpretations, make sure to include what figure you are referring to. For example, “Shown in Figure 1, there is” or your interpretation, followed by “(see Figure 1).” When documented this way, it’s similar to the formatting of a citation, within the confines of parentheses, and within the ending punctuation. The figure annotation is in bold letters. the following line is the title of the figure; it is in italics and not bolded. These both will be entered as text in your paper, not included with the visualization in R.
• When providing the different perspectives of the same information, make sure that you clearly indicate which figures contain the same information and whether the different perspectives align or if the different perspectives seem to indicate a different relationship between the data fields.
• When providing your interpretations use real words. Don’t use the capitalization shown in the variable names, nor the variables names, unless it is also a word. For example, population represents both a real word and a variable. However, median_household_income is not a word, it is only a variable name and should not be found in your paper. You can refer to the data in this field with the words median household income, without the underscore, or you could define that income represents median household income, then just refer to it as income.

Script file

• This file should contain everything needed to run the file. If there were steps taken from the original data set and it was modified in the previous homework submission, include that programming code in this script file. All libraries should still be found in one place, near the top of the script file, after the leading comments required in every script file.
• The programming should include the questions you posed to yourself that led your visualizations in the comments.
• You may have more visualizations in your programming than in your paper. If you find that one of your visualizations of data is not meaningful, you can annotate that in comments in your programming, but do not include that visualization in your paper.
• Don’t leave incomplete programming code in your script file. 
• You may receive a warning when you submit your work. This warning indicates that R script files are not automatically checked by SafeAssign. This is not an error and is not preventing your submission.

Consider the guidelines, suggestions, and other tips provided in previous assignments. All of that still applies here. If you have any questions, please send me an email.

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