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Now that we know where the outbreaks are located, your organization wants to know more about who is affected. The age of the patient will
Now that we know where the outbreaks are located, your organization wants to know more about who is affected. The age of the patient will determine what kind of resources will be needed in those areas.
Create a side-by-side bar graph using Microsoft Excel and the data provided in theAges Impacted document to identify the age groups affected by the virus.
Explain your analysis of the data. Include answers to the following questions:
- Which age groups are most affected?
- Which age groups are least affected?
- What is the prevalence rate per age demographic?
- What else can be deduced after evaluating the chart?
Include your side-by-side bar graph in the report.
City | Date | Cases | <18 | 19-30 | 31-60 | 61+ |
New York | 4/24/2017 | 189 | 68 | 15 | 34 | 72 |
Los Angeles | 4/2/2017 | 201 | 64 | 16 | 56 | 65 |
Chicago | 4/27/2017 | 14 | 4 | 1 | 3 | 6 |
Houston | 4/27/2017 | 272 | 98 | 16 | 52 | 106 |
Philadelphia | 4/24/2017 | 5 | 2 | 0 | 1 | 2 |
Phoenix | 4/2/2017 | 289 | 145 | 20 | 32 | 92 |
San Antonio | 4/7/2017 | 95 | 46 | 6 | 12 | 31 |
San Diego | 4/2/2017 | 258 | 114 | 15 | 34 | 95 |
Dallas | 4/24/2017 | 83 | 42 | 8 | 12 | 21 |
San Jose | 4/23/2017 | 109 | 49 | 9 | 17 | 31 |
Austin | 4/17/2017 | 281 | 151 | 12 | 39 | 79 |
Jacksonville | 4/14/2017 | 322 | 93 | 19 | 61 | 149 |
San Francisco | 4/9/2017 | 76 | 27 | 5 | 25 | 19 |
Indianapolis | 4/11/2017 | 7 | 3 | 0 | 1 | 3 |
Columbus | 4/9/2017 | 14 | 7 | 1 | 2 | 4 |
Fort Worth | 4/29/2017 | 98 | 47 | 7 | 12 | 32 |
Charlotte | 4/10/2017 | 19 | 11 | 1 | 2 | 5 |
Seattle | 4/12/2017 | 65 | 36 | 7 | 10 | 12 |
Denver | 4/2/2017 | 30 | 16 | 2 | 1 | 11 |
El Paso | 4/28/2017 | 29 | 14 | 2 | 5 | 8 |
Detroit | 4/28/2017 | 35 | 10 | 2 | 7 | 16 |
Washington D.C. | 4/3/2017 | 61 | 22 | 4 | 12 | 23 |
Boston | 4/13/2017 | 28 | 10 | 1 | 4 | 13 |
Memphis | 4/25/2017 | 31 | 16 | 2 | 5 | 12 |
Nashville | 4/24/2017 | 23 | 11 | 2 | 2 | 8 |
Portland | 4/2/2017 | 18 | 8 | 1 | 2 | 7 |
Oklahoma City | 4/27/2017 | 11 | 6 | 1 | 2 | 2 |
Las Vegas | 4/27/2017 | 146 | 59 | 12 | 37 | 41 |
Baltimore | 4/24/2017 | 26 | 15 | 2 | 2 | 7 |
Louisville | 4/2/2017 | 17 | 5 | 1 | 3 | 8 |
Milwaukee | 4/7/2017 | 12 | 4 | 1 | 2 | 5 |
Albuquerque | 4/2/2017 | 51 | 19 | 3 | 7 | 22 |
Tucson | 4/24/2017 | 114 | 51 | 8 | 19 | 36 |
Fresno | 4/23/2017 | 187 | 93 | 13 | 19 | 62 |
Sacramento | 4/17/2017 | 51 | 22 | 3 | 7 | 9 |
Kansas City | 4/14/2017 | 38 | 19 | 4 | 6 | 9 |
Long Beach | 4/9/2017 | 215 | 76 | 17 | 40 | 82 |
Mesa | 4/11/2017 | 231 | 129 | 12 | 25 | 65 |
Atlanta | 4/9/2017 | 220 | 63 | 13 | 42 | 102 |
Colorado Springs | 4/29/2017 | 5 | 2 | 0 | 1 | 2 |
Virginia Beach | 4/10/2017 | 4 | 1 | 0 | 1 | 2 |
Raleigh | 4/12/2017 | 8 | 4 | 1 | 1 | 2 |
Omaha | 4/2/2017 | 3 | 1 | 0 | 0 | 2 |
Miami | 4/28/2017 | 299 | 170 | 18 | 30 | 81 |
Oakland | 4/28/2017 | 84 | 42 | 8 | 18 | 16 |
Minneapolis | 4/3/2017 | 9 | 6 | 1 | 1 | 3 |
Tulsa | 4/13/2017 | 127 | 71 | 10 | 32 | 118 |
Wichita | 4/25/2017 | 83 | 24 | 5 | 22 | 32 |
New Orleans | 4/10/2017 | 248 | 89 | 15 | 47 | 97 |
Arlington | 4/12/2017 | 11 | 4 | 1 | 2 | 4 |
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