What type of graph would you use to display the organized data from each frequency distribution?

Initial Post Suppose that you have two sets of data to work with. The first set is a list of all the injuries that were seen in a clinic in a month’s time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor’s office. You can make assumptions about other information or variables that are included in each data set.
For each data set, propose your idea of how best to represent the key information. To organize your data would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why?
What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph?
Follow-Up Post Respond to at least one peer. Further the dialogue by providing more information and clarification.
Consider how different distributions might affect the different graphs. How might other variables affect the graphs? How could graphs be made to be biased? If a graph were biased, how might you change it to guard against that bias?
Writing Requirements
Minimum of 2 posts (1 initial & 1 follow-up)
APA format for in-text citations and list of references

There are 129 million ER visits in the U.S.
About 22 million of those visits are due to injuries.
Do you recognize the cause of injury as Qualitative?
A relative frequency table is one way to organize the data.
We can display the percentage of injuries by age group using a pie chart.
What types of graphs would you suggest?
https://www.ncbi.nlm.nih.gov/books/NBK154383/pdf/Bookshelf_NBK154383.pdfLinks to an external site.
Here is the consultation time spent with the patients shown in a Histogram (Since the scale along the x-axis is represented by numbers). The bar graph for quantitative data is called Histogram. There is no bias in the chart. Could we use a line graph to display the same?

Ahmad, B. A., Khairatul, K., & Farnaza, A. (2017). An assessment of patient waiting and consultation time in a primary healthcare clinic. Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia, 12(1), 14–21.

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