Data has been collected to identify specific cases of people who are infected with a dangerous virus. Your organization has an interest in knowing where the population is most affected in an effort to move resources to areas that need them. Create a bar
Copyof20180126222034mha507_r1_wk3_casesbycity__1_.xlsx
Data has been collected to identify specific cases of people who are infected with a dangerous virus. Your organization has an interest in knowing where the population is most affected in an effort to move resources to areas that need them.
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Data has been collected to identify specific cases of people who are infected with a dangerous virus. Your organization has an interest in knowing where the population is most affected in an effort to move resources to areas that need them. Create a bar
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Create a bar chart using Microsoft Excel® and the data provided in the Cases by City document to identify the cities with the highest counts of cases.
Note: This information will be used for further analysis in future assignments.
Write a 350- to 525-word report of your analysis of the data. Include an answer to the following questions:
- What are the top five cities for infected cases?
- How many infected cases does each of those cities have?
- What is the prevalence rate per 100,000 people?
- What else can be deduced after evaluating the chart?
Include your bar chart in the report.
Format your citations according to APA guidelines.
Sheet1
| City | Date | Cases | |||||||
| New York | 4 | 7 | 1 | 8 | 9 | ||||
| Los Angeles | 4/2/ | 17 | 201 | ||||||
| Chicago | 4/27/17 | 14 | |||||||
| Houston | 272 | ||||||||
| Philadelphia | 4/24/17 | 5 | |||||||
| Phoenix | 4/2/17 | 28 | |||||||
| San Antonio | 4/7/17 | 95 | |||||||
| San Diego | 258 | ||||||||
| Dallas | 8 | 3 | |||||||
| San Jose | 4/ | 23 | 109 | ||||||
| Austin | 4/17/17 | 281 | |||||||
| Jacksonville | 4/14/17 | 322 | |||||||
| San Francisco | 4/9/17 | 76 | |||||||
| Indianapolis | 4/ | 11 | |||||||
| Columbus | |||||||||
| Fort Worth | 4/ | 29 | 98 | ||||||
| Charlotte | 4/10/17 | 19 | |||||||
| Seattle | 4/ | 12 | 65 | ||||||
| Denver | 30 | ||||||||
| El Paso | 4/28/17 | ||||||||
| Detroit | 35 | ||||||||
| Washington D.C. | 4/3/17 | 61 | |||||||
| Boston | 4/13/17 | ||||||||
| Memphis | 4/25/17 | 31 | |||||||
| Nashville | |||||||||
| Portland | |||||||||
| Oklahoma City | |||||||||
| Las Vegas | 146 | ||||||||
| Baltimore | 26 | ||||||||
| Louisville | |||||||||
| Milwaukee | |||||||||
| Albuquerque | 51 | ||||||||
| Tucson | 114 | ||||||||
| Fresno | 4/23/17 | 187 | |||||||
| Sacramento | |||||||||
| Kansas City | 38 | ||||||||
| Long Beach | 215 | ||||||||
| Mesa | 4/11/17 | 231 | |||||||
| Atlanta | 220 | ||||||||
| Colorado Springs | 4/29/17 | ||||||||
| Virginia Beach | |||||||||
| Raleigh | 4/12/17 | ||||||||
| Omaha | |||||||||
| Miami | 299 | ||||||||
| Oakland | 84 | ||||||||
| Minneapolis | |||||||||
| Tulsa | 127 | ||||||||
| Wichita | 83 | ||||||||
| New Orleans | 248 | ||||||||
| Arlington |
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