Course : Analyzing and Visualizing Data Textbook Used: Title: Data VisualisationISBN: 9781526468925Authors: Andy KirkPublisher: SAGE Publications LimitedPublication Date: 2019-10-07Edition: 2nd ED.

Course : Analyzing and Visualizing Data

Textbook Used: Title: Data VisualisationISBN: 9781526468925Authors: Andy KirkPublisher: SAGE Publications LimitedPublication Date: 2019-10-07Edition: 2nd ED.

• Practical Connection Assignment At UC, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making. This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career.
• Assignment:Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. Requirements:Provide a 500 word (or 2 pages double spaced) minimum reflection.Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.Share a personal connection that identifies specific knowledge and theories from this course.Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. You should not, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace.Be sure to not self-plagiarize as this assignment is similar in multiple courses.

• Team Paper

• This is a team assignment.Each team must use the R tool to use for the project.Your team will have to find a problem to solve that deals with data and data sources.  The team should meet prior to the residency weekend and agree to which problem they will solve.  There should be data available online to pull from.On Friday evening, teams will meet for the residency weekend and put together a one page proposal that must be reviewed and approved by the professor that states:
  1. The problem to solve.
  2. The data sources to pull from.
  3. The tool that will be used (R)
     1. Note high level graphics that will be used to solve the problem and how they will be used.
  4. There must be a through data plan this includes:
     1. Where the data is online
     2. How you know the data is accurate and the plan for ensuring accuracy.
     3. An import of the data into the selected tool.
  5. A paper that includes:
     1. The data plan mentioned above
     2. The problem- note the description and why it’s a problem and how you are going to make a recommendation with the data presented.
     3. The analysis of why the data will solve the issue.
     4. Graphical representation and formulas.  The screenshots of the formulas in the tool must be present.
     5. A summary of the consideration and evaluation of results
        1. This includes your teams’ final analysis of the problem and the resolution.
• Team Presentation

•  the teams will prepare a presentation.  Each team member must talk. The presentation should note:
  1. The problem they are trying to solve.
  2. The tool that they are using.
  3. It should also go over the graphics, data, and analysis.