Exploratory Data Analysis Assignment

Exploratory Data Analysis Assignment

Ingest, clean, and then wrangle data into a reliable useful form.
Write R code to perform exploratory data analysis of large volumes of data.
Assess data quality and develop mitigation strategies.
Communicate results in a written report.

Exploratory Data Analysis Assignment

1. Ingest, clean, and then wrangle data into a reliable useful form.

2. Write R code to perform exploratory data analysis of large volumes of data.

3. Assess data quality and develop mitigation strategies.

4. Communicate results in a written report.

5. You are required to turn in your R code along with your report. Failure to turn in your R code will result in an automatic 10% point deduction.

6. You can submit your EDA up to three days after the deadline with a flat 20% late submission penalty.

7. The deadline to submit your EDA for the Data Science project is October 17, 2021 .

Exploratory Data Analysis Assignment

Rubric

Exploratory Data Analysis

Exploratory Data Analysis

Criteria

Ratings

Pts

This criterion is linked to a Learning OutcomeEDA / Data Understanding

45 to >38.0 pts

Excellent

*Practical exploratory data analysis conducted for each research variable and results provided. Results concisely explained/ summarized. *The research variables are described fully, using central tendency and dispersion measures, graphical techniques, and variable correlation analysis, including interpretation of what they indicate. * All data quality issues are effectively identified and an effective mitigation strategy is identified for each data quality issue.

38 to >25.0 pts

Meets Expectations

* Exploratory data analysis is appropriate, mostly accurate and reasonably thorough. *A summary of the research variables is given (central tendency, dispersion, correlation, graphical techniques), but at least one summary is incomplete and only a cursory interpretation is provided. *Most (but not all) data quality issues are effectively identified and an effective mitigation strategy is identified for each data quality issue.

Exploratory Data Analysis Assignment

25 to >20.0 pts

Approaches Expectations

Analysis of the data is appropriate but only somewhat accurate and thorough. Most data quality issues are not identified and the mitigation strategy is not discussed.

20 to >0 pts

Needs Improvement

Limited or no analysis was performed.

45 pts

This criterion is linked to a Learning OutcomeDiscussion

25 to >21.0 pts

Excellent

Results and discussion are well focused and included all the important points. The depth of the discussion was excellent

21 to >15.0 pts

Meets Expectations

Missed some important points in the data. The discussion and depth was adequate.

15 to >12.0 pts

Approaches Expectations

Analyzed only the most basic points and provided limited depth.

12 to >0 pts

Needs Improvement

Discussion was superficial.

25 pts

This criterion is linked to a Learning OutcomeOrganization & Grammar

20 to >16.0 pts

Excellent

*The ideas are arranged logically to support the thesis. They flow smoothly from one to another and are clearly linked to each other. The reader can follow the line of reasoning *Report is exceptionally well organized and well written, with all charts and tables embedded in the report * The writing is free or almost free of errors.

16 to >12.0 pts

Meets Expectations

*The ideas are arranged logically to support the thesis. They are usually clearly linked to each other. For the most part, the reader can follow the line of reasoning. *All charts and tables are embedded in the report. * There are occasional violations in the writing, but they don’t represent a major distraction or obscure the meaning

12 to >8.0 pts

Approaches Expectations

*The writing is not arranged logically. Frequently, ideas fail to make sense together. The reader can figure out what the writer probably intends but the reader must be motivated to do so. *Charts and tables not embedded in report. *The writing has numerous errors, and the reader is distracted by them.

8 to >0 pts

Needs Improvement

*The writing lacks a logical organization. The reader cannot identify a line of reasoning and loses interest. *Charts and tables not embedded in report. * Errors are so numerous that they obscure the meaning of the passage. The reader is confused and stops reading.

20 pts

This criterion is linked to a Learning OutcomeR Code Write R code to perform exploratory data analysis of large volumes of data.

10 to >8.0 pts

Excellent

Code contains no bugs

8 to >6.0 pts

Meets Expectations

Code contains an error

6 to >4.0 pts

Approaches Expectations

Code contains two to four errors

4 to >0 pts

Needs Improvement

Code contains more than 4 error

10 pts

Total Points: 100

Exploratory Data Analysis Assignment

Write my Essay. Premium essay writing services is the ideal place for homework help or essay writing service. if you are looking for affordable, high quality & non-plagiarized papers, click on the button below to place your order. Provide us with the instructions and one of our writers will deliver a unique, no plagiarism, and professional paper.

Get help with your toughest assignments and get them solved by a Reliable Custom Papers Writing Company. Save time, money and get quality papers. Buying an excellent plagiarism-free paper is a piece of cake!

All our papers are written from scratch. We can cover any assignment/essay in your field of study.