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Posted: July 13th, 2022

Practical Assignments | Online Assignment: I need help writing a research paper.

Practical Assignment (200 Points)

Date: _________________

Name: _____________________

 

Prerequisite:

Read and perform the required exercises.  This will help you complete the assignment.

https://thenextweb.com/dd/2015 – Research Paper Writing Help Service/04/21/the-14-best-data-visualization-tools/

This url list the popular data visualization tools separated into 2 categories: (1) Tools for developers requiring coding and (2) Tools for non-developers that do not require coding.  Read and familiarize yourself with the different categories of tools.

https://towardsdatascience.com/a-guide-to-data-visualisation-in-r-for-beginners-ef6d41a34174

This website provides a comprehensive guide to learn Data Visualization using R.  Not only should you read the content, I encourage you to read to perform the exercise to familiarize yourself to the R tool.  This will help with the Assignment.

 

Activities:

  1. Data Acquisition [10 points]
    1. After completing the prerequisite identified above, select a data mining project. This could be a based on the dataset you identified before.
    2. Identify the dataset and load and store to your computer.
    3. Briefly describe the data acquisition process.
  2. Collect Method [10 points]
    1. Write a page paper – Describe the data collect method.
  3. Data Examination [10 points]
    1. Examine the dataset and briefly explain your findings
  4. Data Transformation [20 points]
    1. Perform data transformation techniques such as data cleansing, conversion, creation, and consolidation on the dataset.
    2. Record the transformation activities you performed on your dataset.
  5. Data Exploration and Presentation [50 points]
    1. Decide how you want to present the data. Use the Charts in chapter 6 to help.
    2. Using R tool to create the chart of your choice.

Deliverables:

Word file with following:

  • Describing the data acquisition
  • Collection method
  • Data examination process
  • Data transformation required
  • Chart figure

 

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