Overview

Dataset statistics

Number of variables8
Number of observations1180
Missing cells0
Missing cells (%)0.0%
Duplicate rows14
Duplicate rows (%)1.2%
Total size in memory75.0 KiB
Average record size in memory65.1 B

Variable types

Categorical5
Text3

Dataset

Description2022년 8월기준 서초구 공원녹지과 관리소관 지역 야외운동기구 현황(위치, 운동기구명, 수량, 관리자번호 등)
Author서울특별시 서초구
URLhttps://www.data.go.kr/data/15068005/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준 has constant value ""Constant
Dataset has 14 (1.2%) duplicate rowsDuplicates
수량 is highly imbalanced (74.6%)Imbalance

Reproduction

Analysis started2023-12-12 18:27:57.600248
Analysis finished2023-12-12 18:27:58.192556
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
서울특별시
1180 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 1180
100.0%

Length

2023-12-13T03:27:58.264808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:27:58.369253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 1180
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
서초구
1180 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서초구
2nd row서초구
3rd row서초구
4th row서초구
5th row서초구

Common Values

ValueCountFrequency (%)
서초구 1180
100.0%

Length

2023-12-13T03:27:58.769703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:27:58.869608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서초구 1180
100.0%

공원명
Text

Distinct183
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-13T03:27:59.148403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length9.5864407
Min length4

Characters and Unicode

Total characters11312
Distinct characters249
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row뒷벌어린이공원
2nd row뒷벌어린이공원
3rd row뒷벌어린이공원
4th row뒷벌어린이공원
5th row뒷벌어린이공원
ValueCountFrequency (%)
우면산 97
 
5.2%
서리풀공원 72
 
3.9%
옆 43
 
2.3%
앞 40
 
2.1%
도구머리근린공원 40
 
2.1%
방배공원 27
 
1.4%
뒷벌어린이공원 26
 
1.4%
청계산 25
 
1.3%
쉼터 24
 
1.3%
정자 24
 
1.3%
Other values (221) 1452
77.6%
2023-12-13T03:27:59.607857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 904
 
8.0%
공 848
 
7.5%
820
 
7.2%
린 605
 
5.3%
이 424
 
3.7%
어 406
 
3.6%
터 262
 
2.3%
산 219
 
1.9%
동 217
 
1.9%
근 210
 
1.9%
Other values (239) 6397
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9514
84.1%
Space Separator 820
 
7.2%
Decimal Number 535
 
4.7%
Open Punctuation 160
 
1.4%
Close Punctuation 160
 
1.4%
Uppercase Letter 68
 
0.6%
Dash Punctuation 45
 
0.4%
Other Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 904
 
9.5%
공 848
 
8.9%
린 605
 
6.4%
이 424
 
4.5%
어 406
 
4.3%
터 262
 
2.8%
산 219
 
2.3%
동 217
 
2.3%
근 210
 
2.2%
리 198
 
2.1%
Other values (218) 5221
54.9%
Decimal Number
ValueCountFrequency (%)
1 140
26.2%
2 100
18.7%
0 69
12.9%
4 65
12.1%
3 41
 
7.7%
5 36
 
6.7%
7 30
 
5.6%
9 23
 
4.3%
6 21
 
3.9%
8 10
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
K 17
25.0%
C 16
23.5%
S 13
19.1%
I 8
11.8%
H 7
10.3%
L 7
10.3%
Space Separator
ValueCountFrequency (%)
820
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9514
84.1%
Common 1730
 
15.3%
Latin 68
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 904
 
9.5%
공 848
 
8.9%
린 605
 
6.4%
이 424
 
4.5%
어 406
 
4.3%
터 262
 
2.8%
산 219
 
2.3%
동 217
 
2.3%
근 210
 
2.2%
리 198
 
2.1%
Other values (218) 5221
54.9%
Common
ValueCountFrequency (%)
820
47.4%
( 160
 
9.2%
) 160
 
9.2%
1 140
 
8.1%
2 100
 
5.8%
0 69
 
4.0%
4 65
 
3.8%
- 45
 
2.6%
3 41
 
2.4%
5 36
 
2.1%
Other values (5) 94
 
5.4%
Latin
ValueCountFrequency (%)
K 17
25.0%
C 16
23.5%
S 13
19.1%
I 8
11.8%
H 7
10.3%
L 7
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9514
84.1%
ASCII 1798
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 904
 
9.5%
공 848
 
8.9%
린 605
 
6.4%
이 424
 
4.5%
어 406
 
4.3%
터 262
 
2.8%
산 219
 
2.3%
동 217
 
2.3%
근 210
 
2.2%
리 198
 
2.1%
Other values (218) 5221
54.9%
ASCII
ValueCountFrequency (%)
820
45.6%
( 160
 
8.9%
) 160
 
8.9%
1 140
 
7.8%
2 100
 
5.6%
0 69
 
3.8%
4 65
 
3.6%
- 45
 
2.5%
3 41
 
2.3%
5 36
 
2.0%
Other values (11) 162
 
9.0%

주소
Text

Distinct148
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-13T03:27:59.940502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.6966102
Min length6

Characters and Unicode

Total characters11442
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방배동 821-1
2nd row방배동 821-1
3rd row방배동 821-1
4th row방배동 821-1
5th row방배동 821-1
ValueCountFrequency (%)
방배동 278
 
9.4%
일대 252
 
8.5%
서초동 197
 
6.6%
외 192
 
6.5%
양재동 166
 
5.6%
산 166
 
5.6%
잠원동 128
 
4.3%
반포동 125
 
4.2%
우면동 124
 
4.2%
92-1 97
 
3.3%
Other values (152) 1245
41.9%
2023-12-13T03:28:00.461642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1839
16.1%
동 1180
 
10.3%
1 951
 
8.3%
- 808
 
7.1%
2 569
 
5.0%
3 453
 
4.0%
4 426
 
3.7%
7 366
 
3.2%
5 359
 
3.1%
산 303
 
2.6%
Other values (24) 4188
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4539
39.7%
Decimal Number 4256
37.2%
Space Separator 1839
16.1%
Dash Punctuation 808
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1180
26.0%
산 303
 
6.7%
방 289
 
6.4%
배 289
 
6.4%
대 252
 
5.6%
일 252
 
5.6%
원 228
 
5.0%
서 197
 
4.3%
초 197
 
4.3%
외 192
 
4.2%
Other values (12) 1160
25.6%
Decimal Number
ValueCountFrequency (%)
1 951
22.3%
2 569
13.4%
3 453
10.6%
4 426
10.0%
7 366
 
8.6%
5 359
 
8.4%
9 294
 
6.9%
8 289
 
6.8%
0 278
 
6.5%
6 271
 
6.4%
Space Separator
ValueCountFrequency (%)
1839
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 808
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6903
60.3%
Hangul 4539
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1180
26.0%
산 303
 
6.7%
방 289
 
6.4%
배 289
 
6.4%
대 252
 
5.6%
일 252
 
5.6%
원 228
 
5.0%
서 197
 
4.3%
초 197
 
4.3%
외 192
 
4.2%
Other values (12) 1160
25.6%
Common
ValueCountFrequency (%)
1839
26.6%
1 951
13.8%
- 808
11.7%
2 569
 
8.2%
3 453
 
6.6%
4 426
 
6.2%
7 366
 
5.3%
5 359
 
5.2%
9 294
 
4.3%
8 289
 
4.2%
Other values (2) 549
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6903
60.3%
Hangul 4539
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1839
26.6%
1 951
13.8%
- 808
11.7%
2 569
 
8.2%
3 453
 
6.6%
4 426
 
6.2%
7 366
 
5.3%
5 359
 
5.2%
9 294
 
4.3%
8 289
 
4.2%
Other values (2) 549
 
8.0%
Hangul
ValueCountFrequency (%)
동 1180
26.0%
산 303
 
6.7%
방 289
 
6.4%
배 289
 
6.4%
대 252
 
5.6%
일 252
 
5.6%
원 228
 
5.0%
서 197
 
4.3%
초 197
 
4.3%
외 192
 
4.2%
Other values (12) 1160
25.6%

운동기구명
Text

Distinct323
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-13T03:28:00.776709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.5737288
Min length2

Characters and Unicode

Total characters6577
Distinct characters212
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)14.9%

Sample

1st row자유철봉
2nd row철봉(3단)
3rd row평행봉
4th row싸이드파도타기
5th row터닝암
ValueCountFrequency (%)
허리돌리기 89
 
6.7%
윗몸일으키기 63
 
4.8%
철봉 45
 
3.4%
평행봉 34
 
2.6%
하늘걷기 33
 
2.5%
공중걷기 31
 
2.4%
역기 28
 
2.1%
크로스컨트리 19
 
1.4%
등허리지압기 19
 
1.4%
거꾸로매달리기 18
 
1.4%
Other values (318) 940
71.3%
2023-12-13T03:28:01.260269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 794
 
12.1%
리 544
 
8.3%
트 238
 
3.6%
스 200
 
3.0%
허 198
 
3.0%
몸 156
 
2.4%
이 145
 
2.2%
돌 142
 
2.2%
139
 
2.1%
운 105
 
1.6%
Other values (202) 3916
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6222
94.6%
Space Separator 139
 
2.1%
Open Punctuation 73
 
1.1%
Close Punctuation 73
 
1.1%
Decimal Number 35
 
0.5%
Math Symbol 32
 
0.5%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 794
 
12.8%
리 544
 
8.7%
트 238
 
3.8%
스 200
 
3.2%
허 198
 
3.2%
몸 156
 
2.5%
이 145
 
2.3%
돌 142
 
2.3%
운 105
 
1.7%
동 104
 
1.7%
Other values (192) 3596
57.8%
Decimal Number
ValueCountFrequency (%)
2 19
54.3%
3 9
25.7%
1 7
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Math Symbol
ValueCountFrequency (%)
+ 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6220
94.6%
Common 353
 
5.4%
Han 2
 
< 0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 794
 
12.8%
리 544
 
8.7%
트 238
 
3.8%
스 200
 
3.2%
허 198
 
3.2%
몸 156
 
2.5%
이 145
 
2.3%
돌 142
 
2.3%
운 105
 
1.7%
동 104
 
1.7%
Other values (191) 3594
57.8%
Common
ValueCountFrequency (%)
139
39.4%
( 73
20.7%
) 73
20.7%
+ 32
 
9.1%
2 19
 
5.4%
3 9
 
2.5%
1 7
 
2.0%
, 1
 
0.3%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Han
ValueCountFrequency (%)
小 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6220
94.6%
ASCII 355
 
5.4%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 794
 
12.8%
리 544
 
8.7%
트 238
 
3.8%
스 200
 
3.2%
허 198
 
3.2%
몸 156
 
2.5%
이 145
 
2.3%
돌 142
 
2.3%
운 105
 
1.7%
동 104
 
1.7%
Other values (191) 3594
57.8%
ASCII
ValueCountFrequency (%)
139
39.2%
( 73
20.6%
) 73
20.6%
+ 32
 
9.0%
2 19
 
5.4%
3 9
 
2.5%
1 7
 
2.0%
B 1
 
0.3%
A 1
 
0.3%
, 1
 
0.3%
CJK
ValueCountFrequency (%)
小 2
100.0%

수량
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
1057 
2
 
97
3
 
13
4
 
11
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1057
89.6%
2 97
 
8.2%
3 13
 
1.1%
4 11
 
0.9%
5 2
 
0.2%

Length

2023-12-13T03:28:01.454175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:28:01.593063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1057
89.6%
2 97
 
8.2%
3 13
 
1.1%
4 11
 
0.9%
5 2
 
0.2%

관리번호
Categorical

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
02-2155-6896
355 
02-2155-6864
193 
02-2155-6893
165 
02-2155-6865
129 
02-2155-6882
97 
Other values (7)
241 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2155-6864
2nd row02-2155-6864
3rd row02-2155-6864
4th row02-2155-6864
5th row02-2155-6864

Common Values

ValueCountFrequency (%)
02-2155-6896 355
30.1%
02-2155-6864 193
16.4%
02-2155-6893 165
14.0%
02-2155-6865 129
 
10.9%
02-2155-6882 97
 
8.2%
02-2155-6883 72
 
6.1%
02-2155-6870 48
 
4.1%
02-2155-6878 40
 
3.4%
02-2155-6863 34
 
2.9%
02-2155-6881 27
 
2.3%
Other values (2) 20
 
1.7%

Length

2023-12-13T03:28:01.748631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02-2155-6896 355
30.1%
02-2155-6864 193
16.4%
02-2155-6893 165
14.0%
02-2155-6865 129
 
10.9%
02-2155-6882 97
 
8.2%
02-2155-6883 72
 
6.1%
02-2155-6870 48
 
4.1%
02-2155-6878 40
 
3.4%
02-2155-6863 34
 
2.9%
02-2155-6881 27
 
2.3%
Other values (2) 20
 
1.7%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2022-08-04
1180 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-04
2nd row2022-08-04
3rd row2022-08-04
4th row2022-08-04
5th row2022-08-04

Common Values

ValueCountFrequency (%)
2022-08-04 1180
100.0%

Length

2023-12-13T03:28:01.899467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:28:02.011127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-04 1180
100.0%

Correlations

2023-12-13T03:28:02.079507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량관리번호
수량1.0000.267
관리번호0.2671.000
2023-12-13T03:28:02.189766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호수량
관리번호1.0000.150
수량0.1501.000
2023-12-13T03:28:02.301295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량관리번호
수량1.0000.150
관리번호0.1501.000

Missing values

2023-12-13T03:27:58.013282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:27:58.140054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도명시군구명공원명주소운동기구명수량관리번호데이터기준
0서울특별시서초구뒷벌어린이공원방배동 821-1자유철봉102-2155-68642022-08-04
1서울특별시서초구뒷벌어린이공원방배동 821-1철봉(3단)102-2155-68642022-08-04
2서울특별시서초구뒷벌어린이공원방배동 821-1평행봉102-2155-68642022-08-04
3서울특별시서초구뒷벌어린이공원방배동 821-1싸이드파도타기102-2155-68642022-08-04
4서울특별시서초구뒷벌어린이공원방배동 821-1터닝암102-2155-68642022-08-04
5서울특별시서초구뒷벌어린이공원방배동 821-1하늘걷기102-2155-68642022-08-04
6서울특별시서초구뒷벌어린이공원방배동 821-1윗몸일으키기102-2155-68642022-08-04
7서울특별시서초구뒷벌어린이공원방배동 821-1허리돌리기202-2155-68642022-08-04
8서울특별시서초구뒷벌어린이공원방배동 821-1온몸역기올리기102-2155-68642022-08-04
9서울특별시서초구뒷벌어린이공원방배동 821-1거꾸로매달리기102-2155-68642022-08-04
시도명시군구명공원명주소운동기구명수량관리번호데이터기준
1170서울특별시서초구마루터기쉼터양재동 산42-6 외역기내리기(팔내리기운동)102-2155-68702022-08-04
1171서울특별시서초구마루터기쉼터양재동 산42-6 외허리운동(허리돌리기)102-2155-68702022-08-04
1172서울특별시서초구마루터기쉼터양재동 산42-6 외옆파도타기102-2155-68702022-08-04
1173서울특별시서초구마루터기쉼터양재동 산42-6 외철봉202-2155-68702022-08-04
1174서울특별시서초구마루터기쉼터양재동 산42-6 외평행봉102-2155-68702022-08-04
1175서울특별시서초구외교원 뒤서초동 산 28 외허리운동(허리돌리기)202-2155-68702022-08-04
1176서울특별시서초구외교원 뒤서초동 산 28 외철봉102-2155-68702022-08-04
1177서울특별시서초구외교원 뒤서초동 산 28 외평행봉202-2155-68702022-08-04
1178서울특별시서초구쌈지공원 뒤양재동 산 41 외철봉102-2155-68702022-08-04
1179서울특별시서초구쌈지공원 뒤양재동 산 41 외평행봉102-2155-68702022-08-04

Duplicate rows

Most frequently occurring

시도명시군구명공원명주소운동기구명수량관리번호데이터기준# duplicates
0서울특별시서초구도구머리근린공원 정자쉼터2방배동 산 75-4평행봉(1)102-2155-68782022-08-042
1서울특별시서초구뒷벌어린이공원방배동 821-1역기올리기102-2155-68642022-08-042
2서울특별시서초구마산말어린이공원서초동 1343-8체어풀웨이스트102-2155-68642022-08-042
3서울특별시서초구명주근린공원잠원동 50-4마라톤운동102-2155-68652022-08-042
4서울특별시서초구몽마르뜨공원서초동 산180-1 일대온몸허리돌리기102-2155-68642022-08-042
5서울특별시서초구서리풀공원 성모병원뒤 팔각정반포동 산28팔올리기102-2155-68832022-08-042
6서울특별시서초구아크로리버파크 105동 앞반포동 115-4평행봉102-2155-68932022-08-042
7서울특별시서초구양재천근린공원양재동 261-22옆파도 타기202-2155-68962022-08-042
8서울특별시서초구우면산 남태령 정자 쉼터방배동 산 92-1 외파도타기102-2155-68822022-08-042
9서울특별시서초구우면산 유점사쉼터(상)방배동 산 92-1 외허리돌리기102-2155-68822022-08-042