Data visualization/데이터시각화(R)
데이터시각화 R_ggplot2_Titanic 데이터(범주형 변수)
뉴욕킴
2023. 9. 10. 15:05
1. 타이타닉 데이터 불러오기
data(Titanic)2. 데이터 구성 확인
Titanic, , Age = Child, Survived = No
Sex
Class Male Female
1st 0 0
2nd 0 0
3rd 35 17
Crew 0 0
, , Age = Adult, Survived = No
Sex
Class Male Female
1st 118 4
2nd 154 13
3rd 387 89
Crew 670 3
, , Age = Child, Survived = Yes
Sex
Class Male Female
1st 5 1
2nd 11 13
3rd 13 14
Crew 0 0
, , Age = Adult, Survived = Yes
Sex
Class Male Female
1st 57 140
2nd 14 80
3rd 75 76
Crew 192 203. class별 인원 분포 확인
apply(Titanic,1,sum) 1st 2nd 3rd Crew
325 285 706 885 4. 성별 분포 확인
apply(Titanic,2,sum) Male Female
1731 470 5. 나이 분포 확인
apply(Titanic,3,sum)Child Adult
109 2092 6. 생존 여부
apply(Titanic,4,sum) No Yes
1490 711 7. 1,4번으로 생존인원 확인
apply(Titanic,c(1,4),sum) Survived
Class No Yes
1st 122 203
2nd 167 118
3rd 528 178
Crew 673 2128. 성별로 생존인원 확인
apply(Titanic,c(2,4),sum) Survived
Sex No Yes
Male 1364 367
Female 126 3449. 연령대별 확인
apply(Titanic,c(3,4),sum) Survived
Age No Yes
Child 52 57
Adult 1438 65410. 시각화 진행
- library(ggmosaic) 이용
1) ggmosaic 설치
install.packages("ggmosaic")2) 라이브러리 불러오기
library(ggmosaic)3) array에서 dataframe으로 바꿔주기
as.data.frame(titanic) Class Sex Age Survived
1 3rd Male Child No
2 3rd Male Child No
3 3rd Male Child No
4 3rd Male Child No
5 3rd Male Child No
6 3rd Male Child No
7 3rd Male Child No
8 3rd Male Child No
9 3rd Male Child No
10 3rd Male Child No
11 3rd Male Child No
12 3rd Male Child No
13 3rd Male Child No
14 3rd Male Child No
15 3rd Male Child No
16 3rd Male Child No
17 3rd Male Child No
18 3rd Male Child No
19 3rd Male Child No
20 3rd Male Child No
21 3rd Male Child No
22 3rd Male Child No
23 3rd Male Child No
24 3rd Male Child No
25 3rd Male Child No
26 3rd Male Child No
27 3rd Male Child No
28 3rd Male Child No
29 3rd Male Child No
30 3rd Male Child No
31 3rd Male Child No
32 3rd Male Child No
33 3rd Male Child No
34 3rd Male Child No
35 3rd Male Child No
36 3rd Female Child No
37 3rd Female Child No
38 3rd Female Child No
39 3rd Female Child No
40 3rd Female Child No
41 3rd Female Child No
42 3rd Female Child No
43 3rd Female Child No
44 3rd Female Child No
45 3rd Female Child No
46 3rd Female Child No
47 3rd Female Child No
48 3rd Female Child No
49 3rd Female Child No
50 3rd Female Child No
51 3rd Female Child No
52 3rd Female Child No
53 1st Male Adult No
54 1st Male Adult No
55 1st Male Adult No
56 1st Male Adult No
57 1st Male Adult No
58 1st Male Adult No
59 1st Male Adult No
60 1st Male Adult No
61 1st Male Adult No
62 1st Male Adult No
63 1st Male Adult No
64 1st Male Adult No
65 1st Male Adult No
66 1st Male Adult No
67 1st Male Adult No
68 1st Male Adult No
69 1st Male Adult No
70 1st Male Adult No
71 1st Male Adult No
72 1st Male Adult No
73 1st Male Adult No
74 1st Male Adult No
75 1st Male Adult No
76 1st Male Adult No
77 1st Male Adult No
78 1st Male Adult No
79 1st Male Adult No
80 1st Male Adult No
81 1st Male Adult No
82 1st Male Adult No
83 1st Male Adult No
84 1st Male Adult No
85 1st Male Adult No
86 1st Male Adult No
87 1st Male Adult No
88 1st Male Adult No
89 1st Male Adult No
90 1st Male Adult No
91 1st Male Adult No
92 1st Male Adult No
93 1st Male Adult No
94 1st Male Adult No
95 1st Male Adult No
96 1st Male Adult No
97 1st Male Adult No
98 1st Male Adult No
99 1st Male Adult No
100 1st Male Adult No
101 1st Male Adult No
102 1st Male Adult No
103 1st Male Adult No
104 1st Male Adult No
105 1st Male Adult No
106 1st Male Adult No
107 1st Male Adult No
108 1st Male Adult No
109 1st Male Adult No
110 1st Male Adult No
111 1st Male Adult No
112 1st Male Adult No
113 1st Male Adult No
114 1st Male Adult No
115 1st Male Adult No
116 1st Male Adult No
117 1st Male Adult No
118 1st Male Adult No
119 1st Male Adult No
120 1st Male Adult No
121 1st Male Adult No
122 1st Male Adult No
123 1st Male Adult No
124 1st Male Adult No
125 1st Male Adult No
126 1st Male Adult No
127 1st Male Adult No
128 1st Male Adult No
129 1st Male Adult No
130 1st Male Adult No
131 1st Male Adult No
132 1st Male Adult No
133 1st Male Adult No
134 1st Male Adult No
135 1st Male Adult No
136 1st Male Adult No
137 1st Male Adult No
138 1st Male Adult No
139 1st Male Adult No
140 1st Male Adult No
141 1st Male Adult No
142 1st Male Adult No
143 1st Male Adult No
144 1st Male Adult No
145 1st Male Adult No
146 1st Male Adult No
147 1st Male Adult No
148 1st Male Adult No
149 1st Male Adult No
150 1st Male Adult No
151 1st Male Adult No
152 1st Male Adult No
153 1st Male Adult No
154 1st Male Adult No
155 1st Male Adult No
156 1st Male Adult No
157 1st Male Adult No
158 1st Male Adult No
159 1st Male Adult No
160 1st Male Adult No
161 1st Male Adult No
162 1st Male Adult No
163 1st Male Adult No
164 1st Male Adult No
165 1st Male Adult No
166 1st Male Adult No
167 1st Male Adult No
168 1st Male Adult No
169 1st Male Adult No
170 1st Male Adult No
171 2nd Male Adult No
172 2nd Male Adult No
173 2nd Male Adult No
174 2nd Male Adult No
175 2nd Male Adult No
176 2nd Male Adult No
177 2nd Male Adult No
178 2nd Male Adult No
179 2nd Male Adult No
180 2nd Male Adult No
181 2nd Male Adult No
182 2nd Male Adult No
183 2nd Male Adult No
184 2nd Male Adult No
185 2nd Male Adult No
186 2nd Male Adult No
187 2nd Male Adult No
188 2nd Male Adult No
189 2nd Male Adult No
190 2nd Male Adult No
191 2nd Male Adult No
192 2nd Male Adult No
193 2nd Male Adult No
194 2nd Male Adult No
195 2nd Male Adult No
196 2nd Male Adult No
197 2nd Male Adult No
198 2nd Male Adult No
199 2nd Male Adult No
200 2nd Male Adult No
201 2nd Male Adult No
202 2nd Male Adult No
203 2nd Male Adult No
204 2nd Male Adult No
205 2nd Male Adult No
206 2nd Male Adult No
207 2nd Male Adult No
208 2nd Male Adult No
209 2nd Male Adult No
210 2nd Male Adult No
211 2nd Male Adult No
212 2nd Male Adult No
213 2nd Male Adult No
214 2nd Male Adult No
215 2nd Male Adult No
216 2nd Male Adult No
217 2nd Male Adult No
218 2nd Male Adult No
219 2nd Male Adult No
220 2nd Male Adult No
221 2nd Male Adult No
222 2nd Male Adult No
223 2nd Male Adult No
224 2nd Male Adult No
225 2nd Male Adult No
226 2nd Male Adult No
227 2nd Male Adult No
228 2nd Male Adult No
229 2nd Male Adult No
230 2nd Male Adult No
231 2nd Male Adult No
232 2nd Male Adult No
233 2nd Male Adult No
234 2nd Male Adult No
235 2nd Male Adult No
236 2nd Male Adult No
237 2nd Male Adult No
238 2nd Male Adult No
239 2nd Male Adult No
240 2nd Male Adult No
241 2nd Male Adult No
242 2nd Male Adult No
243 2nd Male Adult No
244 2nd Male Adult No
245 2nd Male Adult No
246 2nd Male Adult No
247 2nd Male Adult No
248 2nd Male Adult No
249 2nd Male Adult No
250 2nd Male Adult No
[ reached 'max' / getOption("max.print") -- omitted 1951 rows ]4) Titanic.data 변수에 위 내용을 저장
Titanic.data = as.data.frame(titanic)head(Titanic.data) Class Sex Age Survived
1 3rd Male Child No
2 3rd Male Child No
3 3rd Male Child No
4 3rd Male Child No
5 3rd Male Child No
6 3rd Male Child No5) ?? 에러발생..ㅠㅠ
ggplot(Titanic.data)+geom_mosaic(aes(x=product(class),weight=Freq,fill=survived))
ggplot(Titanic.data)+geom_mosaic(aes(x=product(survived),weight=Freq,fill=Class))
ggplot(Titanic.data)+geom_mosaic(aes(x=product(Sex),weight=Freq, fill=survived))ggplot(Titanic.data)+geom_mosaic(aes(x=product(Survived),weight=Freq, fill=Sex))ggplot(Titanic.data)+geom_mosaic(aes(x=product(Age),weight=Freq,fill=Survived))ggplot(Titanic.data)+geom_mosaic(aes(x=product(Survived),weight=Freq,fill=Sex))ggplot(Titanic.data)+geom_mosaic(aes(x=product(Survived),weight=Freq,fill=Age))1. GGally 설치
install.packages("GGally")ggpairs(mpg[,-c(1:2)])