Visually displaying data is an important part of research. Graphs and charts are often used to visually show how data differs from one another. For this assignment, you will create a data dashboard containing epidemiology data. A data dashboard is a management tool that visually tracks, analyzes, and displays metrics and key data through the use of graphs and diagrams.
See these visual dashboard examples
For this assignment, use the following link to download the Microsoft (MS) Excel file of World Health Statistics Health Status – Mortality:
https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/world-health-statistics
The data presented shows the mortality rates by gender and country. Select two countries to compare with the United States and create the following in MS Excel:
- A bar graph comparison of the United States and your two selected countries using the Life Expectancy at Birth by gender (columns F & G).
- A pie graph comparison using the Healthy life expectancy by gender (columns H & I).
- A scatter graph comparison using the Probability of dying per 1000 population between 15 and 60 years by gender (columns J & K).
- A 2-D graph comparison using the Probability of dying per 1000 live births by years 2003 and 2000 (columns L & M).
Once you have completed the four graphs, provide a brief explanation (4-6 sentences) of what each graph is depicting. The explanation should not only identify the X- and Y-axis, but also provide a detailed explanation of the data. For example:“Observed in the Life Expectancy at Birth by gender bar graph, the United States has a significant higher life expectancy for both males and females when compared to Angola and Ghana. This can be attributed to insignificant access to healthcare services in unindustrialized countries, as noted by Robinson (2018).”
submit an MS Word file (containing your explanations) and an MS Excel file (containing the dashboard)
Note: The best way to complete this assignment is to “hide/sort” the columns and rows that will not be used in the graphical comparison.
Expert Solution Preview
Introduction:
As a medical professor, it is important to understand epidemiology data and how to visually display it. In this assignment, students will create a data dashboard containing mortality rates by gender and country using Microsoft Excel. They will create several types of graphs and provide explanations for each, analyzing the data presented.
Answer:
The first graph is a bar graph comparison of the United States and two selected countries using Life Expectancy at Birth by gender. The X-axis represents the countries, and the Y-axis represents the life expectancy in years. The graph shows that the United States has a significantly higher life expectancy for both males and females when compared to the two selected countries. This can be attributed to access to healthcare services and better living conditions in industrialized countries.
The second graph is a pie graph comparison using Healthy life expectancy by gender. The graph shows the percentage of healthy life expectancy by gender in each of the three countries. The X-axis represents the gender, and the graph shows that the United States has a higher percentage of healthy life expectancy than the two selected countries.
The third graph is a scatter graph comparison using the Probability of dying per 1000 population between 15 and 60 years by gender. The X-axis represents the probability of dying per 1000 population, and the Y-axis represents the age group between 15 and 60 years. The graph shows that there is a higher probability of dying in the two selected countries than in the United States, especially in the male population.
The fourth graph is a 2-D graph comparison using the Probability of dying per 1000 live births by years 2003 and 2000. The X-axis represents the years, and the Y-axis represents the probability of dying per 1000 live births. The graph shows that the probability of dying per 1000 live births has decreased over time in all three countries, but the United States has a significantly lower probability of dying per 1000 live births than the two selected countries.
In summary, the data presented in the graphs show that the United States has a higher life expectancy, a higher percentage of healthy life expectancy, and a lower probability of dying per 1000 population and live births than the two selected countries. This can be attributed to access to healthcare services and better living conditions in industrialized countries.
