Big Data Analysis-DNP865
Big data is the large and complex information resulting from the investigation
9 days ago
27
Module4Assignment4.2.docx
Module4Assignment4.2-RUBRIC.docx
Module4Assignment4.2.docx
OVERVIEW
Big data is the large and complex information resulting from the investigation and care delivery in these multifactorial health issues. This data exists in different states of structure, from well-defined structured data sets to unstructured data and images. Data mining tools are used to gather the data for analysis, ultimately leading to transforming new information into action in the clinical setting. CITI Training will be completed.
Assignment Description:
Big Data Analysis
Write a 2000 word analysis using data from a public health issue to create graphs and descriptions. Be sure to completely answer all the questions for each bullet point. Separate each section in your paper with a clear heading that allows your professor to know which bullet you are addressing in that section of your paper. Make sure to reference the citations using the APA writing style for the essay. The cover page and reference page do not count towards the minimum word amount. Review the rubric criteria for this assignment.
This assignment and the assignment in Module 6 will work together to prepare for the Module 8 Signature Assignment. In the Module 4 assignment, you will collect and analyze data in preparation for its presentation. In the Module 6 assignment, you will refine your data presentation and its supporting information for its use in the Module 8 Signature Assignment.
Choose a public health issue that contains public data. Examples include the COVID-19 pandemic, opioid use, influenza, tobacco use, and nutrition. Visit the US government data site found in Additional Resources and search for data available on your chosen topic. You are looking for information that is available in a CSV or XLS file format. You may download more than one file of data. When saving the file, save it as an Excel workbook (.xlx or .xlxs).
· Create (3) three different types of graphic representations of data associated with your public health topic.
· For example, you may decide to explore data related to the Covid-19 pandemic and create a pie chart of Covid-19 vaccines by zip code,
· a bar graph of Covid-19 hospitalizations over the last 18 months,
· and a scatter plot chart of Covid-19 mortality by age.
Use the tutorials provided in the additional course materials to support your use of Excel to analyze the data and create these three graphic representations of the data.
In a Word document, display each graph and write a paragraph for each of the three (3), explaining what the graph represents and why that graph type was chosen to display the data.
Instructions & Specifications Submission Rubric
Start by reading and following these instructions:
1. Study the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.
2. Consider the discussion and the any insights you gained from it.
3. Review the rubric and the specifications below to ensure that your response aligns with all assignment expectations.
4. Create your assignment submission and be sure to cite your sources, use APA style as required, check your spelling, and review the rubric.
The following specifications are required for this assignment:
· Length: 2000 words
· Structure: Include a title page that does not count towards the minimum word amount for this assignment.
REFERENCE:
McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge (5th ed.). Jones and Bartlett. Read chapters 4, 16, & 17.
Additional Resources
Sun, T.Q. (2021). Adopting artificial intelligence in public healthcare: The effect of social power and learning algorithms. International Journal of Environmental Research and Public Health, 18(23), 1-20. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656642/
Campbell, A.A., Harlan, T., Campbell, M., Mulekar, M.S., & Wang, B. (2021). Nurse's Achilles heel: Using big data to determine workload factors that impact near misses. Journal of Nursing Scholarship, 53(3), 333-342. https://sigmapubs.onlinelibrary.wiley.com/doi/full/10.1111/jnu.12652
IBM technology. (2017, November 1). What is Watson data platform? [Video]. YouTube. https://www.youtube.com/watch?v=-rMygSe0Jfo
Microsoft. (2022). Excel help & learning. https://support.microsoft.com/en-us/excel
Data.Gov. (n.d.). The home of the U.S. government’s open data. https://data.gov/
References: Use the appropriate APA style in-text citations and references for all resources utilized to answer the questions. Scholarly sources to support your claims. PEER REVIEW ARTICLES ONLY. Scholarly articles from 2021 to 2026 only. (Within the last five years) Please review your spelling and the rubric. Please use North American peer-reviewed journals ONLY.DO NOT use any European Journal.
Module4Assignment4.2-RUBRIC.docx
5/25/26, 9:13 AM Preview Rubric: Graduate Formal Research Paper Rubric v1 - DNP865 Sect1 Healthcare Technologies and Informatics - Aspen University Classroom
Criteria
Does Not Meet 0%
Approaches 70%
Meets 80%
Exceeds 100%
Criterion Score
Criteria
Does Not Meet 0%
Approaches 70%
Meets 80%
Exceeds 100%
Criterion Score
Graduate Formal Research Paper Rubric v1
Course: DNP865 Sect1 Healthcare Technologies and Informatics
Criteria
Does Not Meet 0%
Approaches 70%
Meets 80%
Exceeds 100%
Criterion Score
Introduction/Th
esis Weight:
%
10
/ 10
0
points
Weak or no intro
-
duction of topic.
Purpose is
unclear/thesis is
weak or missing.
7
points
Basic introduction
that states topic but
lacks interest. Thesis
is somewhat clear
and arguable.
8
points
Proficient introduc
-
tion that is interest
-
ing and states topic.
Thesis is clear and
arguable statement
of position.
points
10
Exceptional intro
-
duction that grabs
interest of reader
and states topic;
Thesis is exception
-
ally clear, arguable,
well-developed, and
a definitive
statement.
|
Quality of Information or Evidence Weight: 25% |
0 points Information has little or nothing to do with the thesis. Information has weak or no connection to the thesis. |
17.5 points Information relates to the main topic, but few details and/or examples are given. Indicates a limited variety of sources. |
20 points Information relates to the main topic. Paper is researched in sufficient detail and from a variety of sources. All necessary content is included. |
25 points Paper is exceptionally researched, extremely detailed, and accurate. Information clearly relates to the thesis. Appropriate content is covered in depth without being redundant. |
/ 25 |
|
Support of Thesis/Analysis Weight: 20% |
0 points Limited or no connections made between evidence and thesis. Lacks analysis. |
14 points Some connections have been made between evidence and thesis, though they may be tenuous. Minimal analysis is evident, but may not provide needed support for thesis. |
16 points Consistent connections made between evidence and thesis. Analysis sufficiently supports thesis. |
20 points Exceptionally critical, relevant, and consistent connections made between evidence and thesis. Excellent analysis is evident. |
/ 20 |
|
Organization/ Development of Thesis Weight: 15% |
0 points Lacks development of ideas with weak or no transitions between and within paragraphs. |
10.5 points Somewhat clear development, though perhaps illogical, with basic transitions between and within paragraphs. |
12 points Clear and logical order that supports thesis with appropriate transitions between and within paragraphs. |
15 points Exceptionally clear, logical, mature, and thorough development of thesis with excellent transitions between and within paragraphs. |
/ 15 |
|
Conclusion Weight: 5% |
0 points Lacks a summary of topic. Conclusions missing or irrelevant. |
3.5 points Basic summary of topic without final concluding ideas. Inappropriately introduces new information. |
4 points Good summary of topic with credible concluding ideas. Introduces no new information. |
5 points Excellent summary of topic with succinct and precise concluding ideas that impact reader. |
/ 5 |
|
Quality of Written Communication Weight: 15% |
0 points Style and voice inappropriate or do not address given audience, purpose, etc. Word choice is excessively redundant, clichéd, and unspecific. Inconsistent grammar, spelling, punctuation, and paragraphing. Surface errors are pervasive enough that they impede communication of meaning. |
10.5 points Style and voice are somewhat appropriate to given audience and purpose. Word choice is often unspecific, generic, redundant, and clichéd. Repetitive mechanical errors distract the reader. Inconsistencies in language, sentence structure, and/or word choice are present. |
12 points Style and voice are appropriate to the given audience and purpose. Word choice is specific and purposeful, and somewhat varied throughout. Minimal mechanical or typographical errors are present, but are not overly distracting to the reader. Correct sentence structure and audience-appropriate language are used. |
15 points Style and voice are not only appropriate to the given audience and purpose, but also show originality and creativity. Word choice is specific, purposeful, dynamic and varied. Free of mechanical and typographical errors. A variety of sentence structures and effective figures of speech are used. Writer is clearly in command of standard, written, academic English. |
/ 15 |
Total
/ 100
APA Format
Weight: 10%
/ 10
0
points
APA format and
style are not
evident.
7
points
Missing APA ele
-
ments; in-text cita
-
tions, where neces
-
sary, are used but
formatted inaccu
-
rately and not
referenced.
8
points
All key elements of
an APA title page
are present; In-text
citations and a ref
-
erence page are
present with few
format errors.
Mechanics of writ
-
ing are reflective of
APA style.
points
10
A broad understand
-
ing of APA format
and style is evident.
Accurate citations
and references are
presented. No APA
errors are evident.
Overall Score
Level 1
0
points minimum
Level 2
70
points minimum
Level 3
80
points minimum
Level 4
100
points minimum
1/5
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1/5
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