Question N Textbook Attached We Have Spent The Past Weeks Wo ✓ Solved

Question N Text Book Attachedwe Have Spent The Past Weeks Working On

Question N Text Book Attachedwe Have Spent The Past Weeks Working On question n text book attached. We have spent the past weeks working on the individual visualization layers and last week we learned how the layers all fit together. This week we will concentrate on creating visualizations (write) and consuming visualizations (read) (Kirk, 2016). We must first learn how to understand the visualization as viewer and at the same time use our skills, knowledge and mindsets to achieve excellence in data visualization design. We will focus on “The Seven Hats of Data Visualization.†Select one of the “Hats†and expand it for your classmates.

Topic - Project Manager The coordinator – oversees the project Initiates and leads on formulating the brief Identifies and establishes definitions of key circumstances Organizes the resources according to the ambition of a project Manages progress of the workflow and keeps it cohesive Has a ‘thick skin’, patience and empathy Gets things done: checks, tests, finishes tasks Pays strong attention to detail Remember your initial post on the main topic should be posted by Wednesday 11:59 PM (EST). Your 2 following posts should be commenting on your classmates’ post on different days by Sunday 11:59 PM (EST). You should end the week with 3 total discussion posts. A quality post is more than stating, “I agree with you.†Maybe you should state why you agree with your classmate’s post. Additionally, post some examples or find a related topic on the internet or University’s library and comment on it in the discussion post. Reference: Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design (p. 50). SAGE Publications.

Sample Paper For Above instruction

Understanding the "Project Manager" Hat in Data Visualization

In the realm of data visualization, one of the seven metaphorical hats described by Andrew Kirk (2016) is the "Project Manager." This role is pivotal not only in project management contexts but also in guiding the effective creation and consumption of visualizations. The "Project Manager" hat embodies responsibilities that ensure the successful orchestration of visualization projects, from initiation to completion.

Role and Responsibilities of the Project Manager in Data Visualization

The project manager oversees the entire visualization project, beginning with formulating the initial brief. This involves understanding the purpose of the visualization, identifying key data points, and setting clear goals that guide the project. A clear brief ensures that all team members are aligned and that the final product satisfies the intended audience's needs.

Next, the project manager identifies and establishes definitions for critical circumstances or variables within the data. This helps in framing the visualization correctly and ensures meaningful insights are communicated. Organizing resources according to the project's ambition includes assigning tasks, selecting appropriate tools, and allocating time wisely.

Managing workflow progress is crucial for timely delivery. The project manager keeps the workflow cohesive by monitoring milestones, coordinating team efforts, and adjusting as necessary. This role demands a 'thick skin,' patience, and empathy—qualities that facilitate collaboration amidst challenges or disagreements.

Furthermore, the project manager ensures quality assurance by checking, testing, and finishing tasks meticulously. Paying strong attention to detail safeguards against errors and enhances the clarity of the visualization. Ultimately, the role involves "getting things done" — translating concept into execution and ensuring the final product meets the desired standards.

Implications for Data Visualization Practice

Emphasizing the "Project Manager" role in data visualization underscores the importance of leadership, organization, and communication. Effective visualization isn't solely about creating appealing graphics but also about managing resources, timelines, and stakeholder expectations. As Kirk (2016) highlights, understanding one's role in the visualization process fosters better collaboration and results in more insightful and impactful visual stories.

Example of Application

For instance, during a data dashboard project for a healthcare provider, the project manager coordinated data collection, designed wireframes, managed feedback sessions, and overseen the final implementation. This comprehensive oversight ensured the dashboard was user-friendly, accurate, and aligned with organizational goals.

References

• Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. SAGE Publications.