Generate a bar chart of a categorical variable for the gender. - Generate a bar chart graph with mean age in males and females - Make a histogram of a continuous variable “age”.
"id" "surgery" "sex" "age" "weight" "length" "BMIpre" "BMIpost" "complic" "comorb" "depressi" "diabetes" "SES"
1 0 "Female" 26 100 1,57 40,56959714 31,03574182 0 0 0 0 2
2 0 "Female" 26 71 1,48 32,41417093 29,67494522 0 0 0 0 2
3 0 "Female" 53 97 1,6 37,890625 NA 0 0 0 0 2
4 0 "Female" 18 109 1,68 38,61961451 31,17913832 0 1 0 1 3
5 0 "Female" 37 100 1,63 37,63784862 27,47562949 0 0 0 0 1
6 0 "Female" 43 94 1,56 38,62590401 34,92767916 0 0 0 0 2
7 0 "Female" 36 105 1,64 39,03926234 24,5389649 1 1 0 0 3
8 0 "Female" 43 107 1,57 43,40946894 27,99302203 1 0 0 0 2
9 0 "Female" 41 103 1,6 40,234375 37,5 1 0 0 0 2
10 0 "Female" 24 93 1,69 32,56188509 27,30996814 0 0 0 0 3
279 0 "Male" 52 128 1,8 39,50617284 30,86419753 1 0 0 0 3
280 0 "Male" 50 100 1,74 33,02946228 NA 0 0 0 0 1
281 0 "Male" 17 NA NA NA NA 0 1 0 0 2
282 0 "Male" 45 117 1,9 32,4099723 NA 1 0 0 0 2
283 0 "Male" 26 145 1,82 43,77490641 33,8123415 0 0 0 0 3
284 0 "Male" 54 128 1,8 39,50617284 NA 0 0 0 0 1
285 0 "Male" 26 142 1,87 40,60739512 NA 0 0 0 0 1
286 0 "Male" 42 106 1,78 33,4553718 NA 0 1 0 0 3
287 1 "Male" 58 115 1,68 40,74546485 33,30498866 1 1 0 0 2
288 1 "Male" 41 146 NA NA NA 0 1 0 0 1
289 1 "Male" 35 162 1,75 52,89795918 39,18367347 1 0 0 0 2
290 1 "Male" 34 110 1,72 37,18226068 NA 0 1 0 0 3
By using R language Perform the following:
Question(7)
- Generate a bar chart of a categorical variable for the gender.
- Generate a bar chart graph with mean age in males and females
- Make a histogram of a continuous variable “age”.
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