Assignment: Read These Following 2 Attached Instructions Bar
Assignmentread These Following 2 Attached Instructionsbarrier Data
Assignment: Read these following 2 attached instructions: Barrier Data Visualization & Barriers Data Analysis Follow the instructions to create assignments 1 to 12 by using the attached Barriers Codebook (Student). Xlsx as your template Take screenshots of all the 12 and put in your portfolio. Note: Submit the main graphs/charts in addition to the screenshots 1. “Summary Yrs_RN” worksheet 2. “Summary Tot_Scores” worksheet 3. “Summary Demographic” worksheet 4. “Summary Responses” worksheet 5. “Pivot Table Education Level by Work Setting” 6. “Pivot Table Age Group by Race” 7. “Bar Chart on the Mode” on all questions on the “Barriers Survey” 8. “Pie Chart of Age Group” 9. “Sunburst Chart” of Sex 10. “Column Chart” of Education Level 11. “Funnel Chart” of Race 12. “Treemap Chart” of Work Setting
Paper For Above instruction
The task at hand involves a comprehensive analysis and visualization of barriers data, as outlined by the instructions provided. Utilizing the provided Barriers Codebook (Student).xlsx, the goal is to produce a series of twelve distinct graphs and charts that offer insights into different aspects of the survey data. This process entails meticulous data preparation, visualization creation, and documentation through screenshots to be compiled into a professional portfolio. The focus is on both descriptive statistics and graphical representations to facilitate understanding of the survey results, demographics, and related categorical data.
Firstly, the analysis begins with the "Summary Yrs_RN" worksheet, which likely summarizes the years of experience or the number of registered nurses (or relevant respondents) associated with the survey. This worksheet provides an overview of professional experience levels and helps identify trends or patterns over time. Next, the "Summary Tot_Scores" worksheet aggregates total scores from survey responses, highlighting overall barrier severity or prevalence. Examining these scores aids in understanding which barriers are most prominent across the sample population.
Furthermore, the "Summary Demographic" worksheet offers insights into the demographic profile of respondents, including age, gender, race, and possibly other socio-economic factors. Analyzing demographics allows researchers to segment data and observe how perceptions of barriers vary across different groups. The "Summary Responses" worksheet summarizes answer distributions, which can highlight common concerns or areas of disagreement among respondents.
In addition to these summaries, several pivot tables and visualizations are specified. The "Pivot Table Education Level by Work Setting" aims to explore the relationship between educational attainment and work environment, revealing if certain settings require or attract specific educational levels. The "Pivot Table Age Group by Race" helps identify demographic intersections, such as age and racial composition within the workforce. These pivot tables serve as foundational tools for creating targeted visualizations.
The visualizations themselves include various chart types, each suited to specific data types. A "Bar Chart on the Mode" for all questions will display the most frequently occurring responses across barriers survey items, providing an at-a-glance understanding of dominant responses. A "Pie Chart of Age Group" visually depicts the distribution of respondents across age categories, illustrating age diversity within the sample.
The "Sunburst Chart" of Sex provides a hierarchical visualization of gender data, potentially layered with other demographics. The "Column Chart" of Education Level depicts the distribution of educational attainment among respondents. The "Funnel Chart" of Race offers a visualization of racial composition, emphasizing the proportion of each racial group within the dataset. A "Treemap Chart" of Work Setting offers a hierarchical view of different work environments, illustrating the relative size and distribution of various work categories.
All these visualizations serve to translate raw data into meaningful insights, enabling stakeholders to understand barriers faced by different demographic groups, the prominence of specific issues, and the relationships between various variables. The process involves careful plotting, ensuring clarity and accuracy of each chart, followed by capturing screenshots for documentation.
In summary, this analysis will leverage Excel’s visualization tools to produce twelve charts and worksheets that encapsulate key findings from the barriers survey data. Proper organization, thoughtful interpretation, and comprehensive documentation will culminate in a detailed portfolio demonstrating proficiency in data analysis and presentation tailored to health, workforce, or social research contexts.
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