## [[1]]
## [1] "lubridate" "forcats" "stringr" "dplyr" "purrr" "readr"
## [7] "tidyr" "tibble" "ggplot2" "tidyverse" "stats" "graphics"
## [13] "grDevices" "utils" "datasets" "methods" "base"
##
## [[2]]
## [1] "fst" "lubridate" "forcats" "stringr" "dplyr" "purrr"
## [7] "readr" "tidyr" "tibble" "ggplot2" "tidyverse" "stats"
## [13] "graphics" "grDevices" "utils" "datasets" "methods" "base"
##
## [[3]]
## [1] "modelsummary" "fst" "lubridate" "forcats" "stringr"
## [6] "dplyr" "purrr" "readr" "tidyr" "tibble"
## [11] "ggplot2" "tidyverse" "stats" "graphics" "grDevices"
## [16] "utils" "datasets" "methods" "base"## [1] "C:/Users/Administrator/Desktop/Analysis"## <table>
## <caption>Table 1: Gender Distribution</caption>
## <thead>
## <tr>
## <th style="text-align:left;"> Var1 </th>
## <th style="text-align:right;"> Freq </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> Female </td>
## <td style="text-align:right;"> 5329 </td>
## </tr>
## <tr>
## <td style="text-align:left;"> Male </td>
## <td style="text-align:right;"> 4836 </td>
## </tr>
## </tbody>
## </table>The data presents the distribution of respondents by gender,
indicating that there were 5,329 female respondents and 4,836 male
respondents. This suggests that in the sample population, there were
more female respondents than male respondents.
## <table>
## <caption>Table 2: Education Levels</caption>
## <thead>
## <tr><th style="border-bottom:hidden;padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="2"><div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">Education Level</div></th></tr>
## <tr>
## <th style="text-align:left;"> Var1 </th>
## <th style="text-align:right;"> Freq </th>
## </tr>
## </thead>
## <tbody>
## <tr>
## <td style="text-align:left;"> 1 </td>
## <td style="text-align:right;"> 283 </td>
## </tr>
## <tr>
## <td style="text-align:left;"> 2 </td>
## <td style="text-align:right;"> 394 </td>
## </tr>
## <tr>
## <td style="text-align:left;"> 3 </td>
## <td style="text-align:right;"> 415 </td>
## </tr>
## <tr>
## <td style="text-align:left;"> 5 </td>
## <td style="text-align:right;"> 114 </td>
## </tr>
## </tbody>
## </table>
Table 3: Summary of Categorical Variables
N
%
gndr
Female
5329
52.4
Male
4836
47.5
NA
13
0.1
panpriph
Moderately more important to prioritise economic activity
128
1.3
Moderately more important to prioritise public health
142
1.4
Much more important to prioritise economic activity
189
1.9
Much more important to prioritise public health
190
1.9
Slightly more important to prioritise economic activity
143
1.4
Slightly more important to prioritise public health
64
0.6
Somewhat more important to prioritise economic activity
291
2.9
Somewhat more important to prioritise public health
140
1.4
NA
8891
87.4
panmonpb
Moderately more important to maintain public privacy
117
1.1
Moderately more important to monitor and track the public
127
1.2
Much more important to maintain public privacy
330
3.2
Much more important to monitor and track the public
148
1.5
Slightly more important to maintain public privacy
129
1.3
Slightly more important to monitor and track the public
70
0.7
Somewhat more important to maintain public privacy
234
2.3
Somewhat more important to monitor and track the public
109
1.1
NA
8914
87.6
panfolru
Moderately more important to follow government rules
314
3.1
Moderately more important to make own decisions
291
2.9
Much more important to follow government rules
371
3.6
Much more important to make own decisions
369
3.6
Slightly more important to follow government rules
166
1.6
Slightly more important to make own decisions
305
3.0
Somewhat more important to follow government rules
279
2.7
Somewhat more important to make own decisions
494
4.9
NA
7589
74.6
panclobo
Extremely important to close borders
2181
21.4
Moderately important to close borders
122
1.2
Not at all important to close borders
30
0.3
Slightly important to close borders
20
0.2
Somewhat important to close borders
66
0.6
Very important to close borders
147
1.4
NA
7612
74.8
panresmo
Extremely important to restrict movement
2136
21.0
Moderately important to restrict movement
122
1.2
Not at all important to restrict movement
42
0.4
Slightly important to restrict movement
25
0.2
Somewhat important to restrict movement
70
0.7
Very important to restrict movement
176
1.7
NA
7607
74.7
educ.ba
BA or more
1515
14.9
No BA
8663
85.1
Summary Statistics
Unique
Missing Pct.
Mean
SD
Min
Median
Max
essround
5
0
7.8
2.7
1.0
9.0
10.0
edulvla
5
88
2.4
1.1
1.0
2.0
5.0
edulvlb
18
13
325.0
289.5
0.0
313.0
9999.0
Crosstabulation of panpriph with gndr and educ.ba
Female
Male
panpriph
BA or more
No BA
BA or more
No BA
All
Moderately more important to prioritise economic activity
N
10
44
13
61
128
% row
7.8
34.4
10.2
47.7
100.0
Moderately more important to prioritise public health
N
18
52
11
61
142
% row
12.7
36.6
7.7
43.0
100.0
Much more important to prioritise economic activity
N
10
80
20
79
189
% row
5.3
42.3
10.6
41.8
100.0
Much more important to prioritise public health
N
19
89
12
70
190
% row
10.0
46.8
6.3
36.8
100.0
Slightly more important to prioritise economic activity
N
15
60
10
58
143
% row
10.5
42.0
7.0
40.6
100.0
Slightly more important to prioritise public health
N
10
24
5
25
64
% row
15.6
37.5
7.8
39.1
100.0
Somewhat more important to prioritise economic activity
N
36
126
18
111
291
% row
12.4
43.3
6.2
38.1
100.0
Somewhat more important to prioritise public health
N
14
66
13
47
140
% row
10.0
47.1
9.3
33.6
100.0
All
N
780
4549
732
4104
10178
% row
7.7
44.7
7.2
40.3
100.0
Crosstabulation of panmonpb with gndr and educ.ba
Female
Male
panmonpb
BA or more
No BA
BA or more
No BA
All
Moderately more important to maintain public privacy
N
11
53
6
47
117
% row
9.4
45.3
5.1
40.2
100.0
Moderately more important to monitor and track the public
N
13
56
6
52
127
% row
10.2
44.1
4.7
40.9
100.0
Much more important to maintain public privacy
N
26
139
37
128
330
% row
7.9
42.1
11.2
38.8
100.0
Much more important to monitor and track the public
N
15
64
9
60
148
% row
10.1
43.2
6.1
40.5
100.0
Slightly more important to maintain public privacy
N
17
50
7
55
129
% row
13.2
38.8
5.4
42.6
100.0
Slightly more important to monitor and track the public
N
10
32
8
20
70
% row
14.3
45.7
11.4
28.6
100.0
Somewhat more important to maintain public privacy
N
20
89
20
105
234
% row
8.5
38.0
8.5
44.9
100.0
Somewhat more important to monitor and track the public
N
19
41
9
40
109
% row
17.4
37.6
8.3
36.7
100.0
All
N
780
4549
732
4104
10178
% row
7.7
44.7
7.2
40.3
100.0
Crosstabulation of panfolru with gndr and educ.ba
Female
Male
panfolru
BA or more
No BA
BA or more
No BA
All
Moderately more important to follow government rules
N
31
139
27
117
314
% row
9.9
44.3
8.6
37.3
100.0
Moderately more important to make own decisions
N
17
121
28
125
291
% row
5.8
41.6
9.6
43.0
100.0
Much more important to follow government rules
N
40
157
30
144
371
% row
10.8
42.3
8.1
38.8
100.0
Much more important to make own decisions
N
29
171
32
137
369
% row
7.9
46.3
8.7
37.1
100.0
Slightly more important to follow government rules
N
25
65
19
57
166
% row
15.1
39.2
11.4
34.3
100.0
Slightly more important to make own decisions
N
26
125
17
137
305
% row
8.5
41.0
5.6
44.9
100.0
Somewhat more important to follow government rules
N
37
109
38
95
279
% row
13.3
39.1
13.6
34.1
100.0
Somewhat more important to make own decisions
N
40
225
34
195
494
% row
8.1
45.5
6.9
39.5
100.0
All
N
780
4549
732
4104
10178
% row
7.7
44.7
7.2
40.3
100.0
Crosstabulation of panclobo with gndr and educ.ba
Female
Male
panclobo
BA or more
No BA
BA or more
No BA
All
Extremely important to close borders
N
200
949
196
836
2181
% row
9.2
43.5
9.0
38.3
100.0
Moderately important to close borders
N
13
42
7
60
122
% row
10.7
34.4
5.7
49.2
100.0
Not at all important to close borders
N
3
12
4
11
30
% row
10.0
40.0
13.3
36.7
100.0
Slightly important to close borders
N
1
7
1
11
20
% row
5.0
35.0
5.0
55.0
100.0
Somewhat important to close borders
N
11
26
8
21
66
% row
16.7
39.4
12.1
31.8
100.0
Very important to close borders
N
15
64
8
60
147
% row
10.2
43.5
5.4
40.8
100.0
All
N
780
4549
732
4104
10178
% row
7.7
44.7
7.2
40.3
100.0
Crosstabulation of panresmo with gndr and educ.ba
Female
Male
panresmo
BA or more
No BA
BA or more
No BA
All
Extremely important to restrict movement
N
194
949
178
815
2136
% row
9.1
44.4
8.3
38.2
100.0
Moderately important to restrict movement
N
12
46
11
53
122
% row
9.8
37.7
9.0
43.4
100.0
Not at all important to restrict movement
N
4
13
11
14
42
% row
9.5
31.0
26.2
33.3
100.0
Slightly important to restrict movement
N
4
8
2
11
25
% row
16.0
32.0
8.0
44.0
100.0
Somewhat important to restrict movement
N
12
23
7
28
70
% row
17.1
32.9
10.0
40.0
100.0
Very important to restrict movement
N
14
67
15
80
176
% row
8.0
38.1
8.5
45.5
100.0
All
N
780
4549
732
4104
10178
% row
7.7
44.7
7.2
40.3
100.0
##
## Pearson's Chi-squared test
##
## data: italy_selected$panfolru and italy_selected$gndr
## X-squared = 5.3731, df = 7, p-value = 0.6145##
## Pearson's Chi-squared test
##
## data: italy_selected$panfolru and italy_selected$educ.ba
## X-squared = 31.043, df = 7, p-value = 6.105e-05##
## Pearson's Chi-squared test
##
## data: italy_selected$panpriph and italy_selected$gndr
## X-squared = 11.651, df = 7, p-value = 0.1126##
## Pearson's Chi-squared test
##
## data: italy_selected$panpriph and italy_selected$educ.ba
## X-squared = 2.9827, df = 7, p-value = 0.8866##
## Pearson's Chi-squared test
##
## data: italy_selected$panmonpb and italy_selected$gndr
## X-squared = 6.1947, df = 7, p-value = 0.5172##
## Pearson's Chi-squared test
##
## data: italy_selected$panmonpb and italy_selected$educ.ba
## X-squared = 9.3483, df = 7, p-value = 0.2286##
## Pearson's Chi-squared test
##
## data: italy_selected$panclobo and italy_selected$gndr
## X-squared = 4.4475, df = 5, p-value = 0.4869##
## Pearson's Chi-squared test
##
## data: italy_selected$panclobo and italy_selected$educ.ba
## X-squared = 7.3184, df = 5, p-value = 0.198##
## Pearson's Chi-squared test
##
## data: italy_selected$panresmo and italy_selected$gndr
## X-squared = 7.8289, df = 5, p-value = 0.1659##
## Pearson's Chi-squared test
##
## data: italy_selected$panresmo and italy_selected$educ.ba
## X-squared = 14.301, df = 5, p-value = 0.01381