ountry Population Cases, total Deaths, total China 1,439,323,776 93,329 4,750 India 1,380,004,385 9,392,919 136,696 USA 331,002,651 12,939,666 262,736 Indonesia 273,523,615 527,999 16,646 Pakistan 220,892,340 392,356 7,942 Brazil 212,559,417 6,238,350 171,974 Nigeria 206,139,589 67,330 1,171 Bangladesh 164,689,383 460,619 6,580 Russia 145,934,462 2,269,316 39,527 Mexico 128,932,753 1,090,675 104,873 Japan 126,476,461 144,653 2,106 Ethiopia 114,963,588 108,930 1,695 Philippines 109,581,078 427,797 8,333 Egypt 102,334,404 115,183 6,621 Vietnam 97,338,579 1,341 35 Congo 89,561,403 12,607 333 Turkey 84,339,067 487,912 13,373 Iran 83,992,949 935,799 47,486 Germany 83,783,942 1,042,700 16,123 Thailand 69,799,978 3,966 60 United Kingdom 67,886,011 1,605,176 58,030 France 65,273,511 2,169,811 51,767 Italy 60,461,826 1,564,532 54,363 Tanzania 59,734,218 509 21 South Africa 59,308,690 785,139 21,439 2) Name Population Cases, total China 1439323776 93,329 India 1380004385 9,392,919 USA 331002651 12,939,666 Indonesia 273523615 527,999 Pakistan 220892340 392,356 Brazil 212559417 6,238,350 Nigeria 206139589 67,330 Bangladesh 164689383 460,619 Russia 145934462 2,269,316 Mexico 128932753 1,090,675
ountry Population Cases, total Deaths, total China 1,439,323,776 93,329 4,750 India 1,380,004,385 9,392,919 136,696 USA 331,002,651 12,939,666 262,736 Indonesia 273,523,615 527,999 16,646 Pakistan 220,892,340 392,356 7,942 Brazil 212,559,417 6,238,350 171,974 Nigeria 206,139,589 67,330 1,171 Bangladesh 164,689,383 460,619 6,580 Russia 145,934,462 2,269,316 39,527 Mexico 128,932,753 1,090,675 104,873 Japan 126,476,461 144,653 2,106 Ethiopia 114,963,588 108,930 1,695 Philippines 109,581,078 427,797 8,333 Egypt 102,334,404 115,183 6,621 Vietnam 97,338,579 1,341 35 Congo 89,561,403 12,607 333 Turkey 84,339,067 487,912 13,373 Iran 83,992,949 935,799 47,486 Germany 83,783,942 1,042,700 16,123 Thailand 69,799,978 3,966 60 United Kingdom 67,886,011 1,605,176 58,030 France 65,273,511 2,169,811 51,767 Italy 60,461,826 1,564,532 54,363 Tanzania 59,734,218 509 21 South Africa 59,308,690 785,139 21,439 2) Name Population Cases, total China 1439323776 93,329 India 1380004385 9,392,919 USA 331002651 12,939,666 Indonesia 273523615 527,999 Pakistan 220892340 392,356 Brazil 212559417 6,238,350 Nigeria 206139589 67,330 Bangladesh 164689383 460,619 Russia 145934462 2,269,316 Mexico 128932753 1,090,675
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
1)
Country | Population | Cases, total | Deaths, total | |
China | 1,439,323,776 | 93,329 | 4,750 | |
India | 1,380,004,385 | 9,392,919 | 136,696 | |
USA | 331,002,651 | 12,939,666 | 262,736 | |
Indonesia | 273,523,615 | 527,999 | 16,646 | |
Pakistan | 220,892,340 | 392,356 | 7,942 | |
Brazil | 212,559,417 | 6,238,350 | 171,974 | |
Nigeria | 206,139,589 | 67,330 | 1,171 | |
Bangladesh | 164,689,383 | 460,619 | 6,580 | |
Russia | 145,934,462 | 2,269,316 | 39,527 | |
Mexico | 128,932,753 | 1,090,675 | 104,873 | |
Japan | 126,476,461 | 144,653 | 2,106 | |
Ethiopia | 114,963,588 | 108,930 | 1,695 | |
Philippines | 109,581,078 | 427,797 | 8,333 | |
Egypt | 102,334,404 | 115,183 | 6,621 | |
Vietnam | 97,338,579 | 1,341 | 35 | |
Congo | 89,561,403 | 12,607 | 333 | |
Turkey | 84,339,067 | 487,912 | 13,373 | |
Iran | 83,992,949 | 935,799 | 47,486 | |
Germany | 83,783,942 | 1,042,700 | 16,123 | |
Thailand | 69,799,978 | 3,966 | 60 | |
United Kingdom | 67,886,011 | 1,605,176 | 58,030 | |
France | 65,273,511 | 2,169,811 | 51,767 | |
Italy | 60,461,826 | 1,564,532 | 54,363 | |
Tanzania | 59,734,218 | 509 | 21 | |
South Africa | 59,308,690 | 785,139 | 21,439 |
2)
Name | Population | Cases, total |
China | 1439323776 | 93,329 |
India | 1380004385 | 9,392,919 |
USA | 331002651 | 12,939,666 |
Indonesia | 273523615 | 527,999 |
Pakistan | 220892340 | 392,356 |
Brazil | 212559417 | 6,238,350 |
Nigeria | 206139589 | 67,330 |
Bangladesh | 164689383 | 460,619 |
Russia | 145934462 | 2,269,316 |
Mexico | 128932753 | 1,090,675 |
Please help me creat these charts using best practices (markers and colors ).
![27
28 2) For the data given, create a Combination Bar/Line Chart; use bars for population and a line for total cases. Be sure to follow all best practices for charts.
29
30
31 Name
32 Bangladesh
33 Brazil
34 China
35 India
36 Indonesia
37 Mexico
38 Nigeria
39 Pakistan
40 Russia
41
USA
42
43
44
45
46
47
48
49
50
51
52
53
54
Population (MM) Cases, total (K)
165
461
213
6,238
1,439
93
1,380
274
129
206
221
146
331
9,393
528
1,091
67
392
2,269
12,940
3
2
D](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F52476ee9-c360-4937-8f5a-8576cacac103%2Fc94c5132-7648-4bb6-987a-38596d57c32b%2F9m4gjr4_processed.png&w=3840&q=75)
Transcribed Image Text:27
28 2) For the data given, create a Combination Bar/Line Chart; use bars for population and a line for total cases. Be sure to follow all best practices for charts.
29
30
31 Name
32 Bangladesh
33 Brazil
34 China
35 India
36 Indonesia
37 Mexico
38 Nigeria
39 Pakistan
40 Russia
41
USA
42
43
44
45
46
47
48
49
50
51
52
53
54
Population (MM) Cases, total (K)
165
461
213
6,238
1,439
93
1,380
274
129
206
221
146
331
9,393
528
1,091
67
392
2,269
12,940
3
2
D
![A
1 Country
2 China
3
India
4 USA
5 Indonesia
6 Pakistan
7 Brazil
8 Nigeria
9 Bangladesh
10 Russia
11 Mexico
12 Japan
13 Ethiopia
14 Philippines
15 Egypt
16 Vietnam
17 Congo
18 Turkey
19 Iran
20 Germany
21 Thailand
22 United Kingdom
23 France
24 Italy
25 Tanzania
26 South Africa
27
B
C
Cases, total
Deaths, total
Population
1,439,323,776
93,329
4,750
1,380,004,385 9,392,919 136,696
331,002,651 12,939,666 262,736
273,523,615
527,999
16,646
220,892,340
392,356
7,942
212,559,417
6,238,350
171,974
206,139,589
1,171
164,689,383
6,580
145,934,462
39,527
104,873
128,932,753
126,476,461
114,963,588
109,581,078
102,334,404
97,338,579
89,561,403
84,339,067
83,992,949
83,783,942
69,799,978
67,886,011
65,273,511
60,461,826
59,734,218
59,308,690
67,330
460,619
2,269,316
1,090,675
144,653
108,930
427,797
115,183
1,341
12,607
487,912
935,799
1,042,700
3,966
1,605,176
2,169,811
1,564,532
D
509
785,139
2,106
1,695
8,333
6,621
35
333
13,373
47,486
16,123
60
58,030
51,767
54,363
21
21,439
E
F
H
J
Create Boxplots for Population, Cases (total) & Deaths (total)
Identify and list the names of Population Outliers>>> 1)
Identify and list the names of Cases Outliers>>>
2)
Identify and list the names of Deaths Outliers>>>
3)
K
L
M
N
O
P](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F52476ee9-c360-4937-8f5a-8576cacac103%2Fc94c5132-7648-4bb6-987a-38596d57c32b%2Fgd82dzn_processed.png&w=3840&q=75)
Transcribed Image Text:A
1 Country
2 China
3
India
4 USA
5 Indonesia
6 Pakistan
7 Brazil
8 Nigeria
9 Bangladesh
10 Russia
11 Mexico
12 Japan
13 Ethiopia
14 Philippines
15 Egypt
16 Vietnam
17 Congo
18 Turkey
19 Iran
20 Germany
21 Thailand
22 United Kingdom
23 France
24 Italy
25 Tanzania
26 South Africa
27
B
C
Cases, total
Deaths, total
Population
1,439,323,776
93,329
4,750
1,380,004,385 9,392,919 136,696
331,002,651 12,939,666 262,736
273,523,615
527,999
16,646
220,892,340
392,356
7,942
212,559,417
6,238,350
171,974
206,139,589
1,171
164,689,383
6,580
145,934,462
39,527
104,873
128,932,753
126,476,461
114,963,588
109,581,078
102,334,404
97,338,579
89,561,403
84,339,067
83,992,949
83,783,942
69,799,978
67,886,011
65,273,511
60,461,826
59,734,218
59,308,690
67,330
460,619
2,269,316
1,090,675
144,653
108,930
427,797
115,183
1,341
12,607
487,912
935,799
1,042,700
3,966
1,605,176
2,169,811
1,564,532
D
509
785,139
2,106
1,695
8,333
6,621
35
333
13,373
47,486
16,123
60
58,030
51,767
54,363
21
21,439
E
F
H
J
Create Boxplots for Population, Cases (total) & Deaths (total)
Identify and list the names of Population Outliers>>> 1)
Identify and list the names of Cases Outliers>>>
2)
Identify and list the names of Deaths Outliers>>>
3)
K
L
M
N
O
P
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