Construct the appropriate chart based on the mortality data in Finland due to Ebola virus. Please demonstrate the coding and the outcome using R software. New death cases1/5/20202/5/20203/5/20204/5/20205/5/20206/5/20207/5/2020Date| 1/4/20202/4/20203/4/2020211114/4/20205/4/20206/4/20207/4/2020|8/4/2020| 9/4/202010/4/202011/4/202012/4/202013/4/202014/4/202015/4/202016/4/202017/4/202018/4/202019/4/202024118/5/20201419/5/202010/5/202011/5/202012/5/202013/5/202014/5/202015/5/202016/5/202017/5/202018/5/202019/5/202020/5/2020121313311432111220/4/202021/4/202022/4/202023/4/202024/4/202025/4/2020| 26/4/202027/4/202028/4/202029/4/202030/4/202021/5/202022/5/202023/5/202011121024/5/202025/5/202026/5/202027/5/20201141182313028/5/202029/5/202030/5/202031/5/202011711518.216

First we import this data set as CSV file in R and check its description as,

Answered: Construct the appropriate chart based…

Construct the appropriate chart based on the mortality data in Finland due to Ebola virus. Please demonstrate the coding and the outcome using R software.

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter12: Probability

Section12.CR: Chapter 12 Review

Problem 66CR

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Question

100%

Construct the appropriate chart based on the mortality data in Finland due to Ebola virus. Please demonstrate the coding and the outcome using R software.

New death cases
1/5/2020
2/5/2020
3/5/2020
4/5/2020
5/5/2020
6/5/2020
7/5/2020
Date
| 1/4/2020
2/4/2020
3/4/2020
2
1
1
11
4/4/2020
5/4/2020
6/4/2020
7/4/2020
|8/4/2020
| 9/4/2020
10/4/2020
11/4/2020
12/4/2020
13/4/2020
14/4/2020
15/4/2020
16/4/2020
17/4/2020
18/4/2020
19/4/2020
2
4
1
1
8/5/2020
14
1
9/5/2020
10/5/2020
11/5/2020
12/5/2020
13/5/2020
14/5/2020
15/5/2020
16/5/2020
17/5/2020
18/5/2020
19/5/2020
20/5/2020
1
2
1
3
13
3
1
1
4
3
2
1
1
1
2
20/4/2020
21/4/2020
22/4/2020
23/4/2020
24/4/2020
25/4/2020
| 26/4/2020
27/4/2020
28/4/2020
29/4/2020
30/4/2020
21/5/2020
22/5/2020
23/5/2020
1
11
2
10
24/5/2020
25/5/2020
26/5/2020
27/5/2020
1
14
1
18
23
1
30
28/5/2020
29/5/2020
30/5/2020
31/5/2020
1
17
1
15
1
8.
2
16

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