Overview

Dataset statistics

Number of variables6
Number of observations691
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory32.5 KiB
Average record size in memory48.2 B

Variable types

Categorical2
Text4

Dataset

Description강원도 소재 주유소에 대한 데이터를 제공합니다.
Author강원도
URLhttps://www.data.go.kr/data/15033689/fileData.do

Alerts

시도명 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:31:34.304028
Analysis finished2023-12-12 07:31:34.970354
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
강원도
691 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 691
100.0%

Length

2023-12-12T16:31:35.104373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:31:35.240657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 691
100.0%

시군구명
Categorical

Distinct18
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
원주시
115 
강릉시
92 
춘천시
67 
홍천군
51 
평창군
42 
Other values (13)
324 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원주시 115
16.6%
강릉시 92
13.3%
춘천시 67
9.7%
홍천군 51
 
7.4%
평창군 42
 
6.1%
영월군 38
 
5.5%
횡성군 33
 
4.8%
동해시 33
 
4.8%
삼척시 32
 
4.6%
정선군 27
 
3.9%
Other values (8) 161
23.3%

Length

2023-12-12T16:31:35.374724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시 115
16.6%
강릉시 92
13.3%
춘천시 67
9.7%
홍천군 51
 
7.4%
평창군 42
 
6.1%
영월군 38
 
5.5%
횡성군 33
 
4.8%
동해시 33
 
4.8%
삼척시 32
 
4.6%
정선군 27
 
3.9%
Other values (8) 161
23.3%

업체명
Text

Distinct651
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T16:31:35.625578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length7.4167873
Min length2

Characters and Unicode

Total characters5125
Distinct characters354
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique624 ?
Unique (%)90.3%

Sample

1st row옥계농협주유소
2nd row㈜용강유통 용강주유소
3rd row서창산업㈜ 옥계(속초방향)주유소
4th row현대오일뱅크㈜직영 옥계그린주유소
5th row홍길동주유소
ValueCountFrequency (%)
주유소 17
 
2.1%
주식회사 11
 
1.4%
대성주유소 7
 
0.9%
강원주유소 6
 
0.8%
sk에너지㈜ 4
 
0.5%
직영 4
 
0.5%
동해주유소 4
 
0.5%
동국주유소 4
 
0.5%
중앙주유소 4
 
0.5%
구도일주유소 4
 
0.5%
Other values (693) 732
91.8%
2023-12-12T16:31:36.059811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 754
 
14.7%
유 677
 
13.2%
소 660
 
12.9%
106
 
2.1%
) 99
 
1.9%
( 99
 
1.9%
대 73
 
1.4%
동 68
 
1.3%
농 63
 
1.2%
협 61
 
1.2%
Other values (344) 2465
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4655
90.8%
Space Separator 106
 
2.1%
Uppercase Letter 103
 
2.0%
Close Punctuation 99
 
1.9%
Open Punctuation 99
 
1.9%
Other Symbol 36
 
0.7%
Lowercase Letter 13
 
0.3%
Decimal Number 12
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 754
 
16.2%
유 677
 
14.5%
소 660
 
14.2%
대 73
 
1.6%
동 68
 
1.5%
농 63
 
1.4%
협 61
 
1.3%
지 61
 
1.3%
강 53
 
1.1%
천 50
 
1.1%
Other values (316) 2135
45.9%
Uppercase Letter
ValueCountFrequency (%)
S 42
40.8%
K 38
36.9%
I 6
 
5.8%
C 5
 
4.9%
G 3
 
2.9%
O 3
 
2.9%
L 1
 
1.0%
H 1
 
1.0%
N 1
 
1.0%
Z 1
 
1.0%
Other values (2) 2
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
0 3
25.0%
3 1
 
8.3%
7 1
 
8.3%
5 1
 
8.3%
9 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
30.8%
f 4
30.8%
e 4
30.8%
s 1
 
7.7%
Space Separator
ValueCountFrequency (%)
106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4688
91.5%
Common 318
 
6.2%
Latin 116
 
2.3%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 754
 
16.1%
유 677
 
14.4%
소 660
 
14.1%
대 73
 
1.6%
동 68
 
1.5%
농 63
 
1.3%
협 61
 
1.3%
지 61
 
1.3%
강 53
 
1.1%
천 50
 
1.1%
Other values (314) 2168
46.2%
Latin
ValueCountFrequency (%)
S 42
36.2%
K 38
32.8%
I 6
 
5.2%
C 5
 
4.3%
l 4
 
3.4%
f 4
 
3.4%
e 4
 
3.4%
G 3
 
2.6%
O 3
 
2.6%
s 1
 
0.9%
Other values (6) 6
 
5.2%
Common
ValueCountFrequency (%)
106
33.3%
) 99
31.1%
( 99
31.1%
1 5
 
1.6%
0 3
 
0.9%
3 1
 
0.3%
7 1
 
0.3%
- 1
 
0.3%
5 1
 
0.3%
. 1
 
0.3%
Han
ValueCountFrequency (%)
美 1
33.3%
親 1
33.3%
笑 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4652
90.8%
ASCII 434
 
8.5%
None 36
 
0.7%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 754
 
16.2%
유 677
 
14.6%
소 660
 
14.2%
대 73
 
1.6%
동 68
 
1.5%
농 63
 
1.4%
협 61
 
1.3%
지 61
 
1.3%
강 53
 
1.1%
천 50
 
1.1%
Other values (313) 2132
45.8%
ASCII
ValueCountFrequency (%)
106
24.4%
) 99
22.8%
( 99
22.8%
S 42
 
9.7%
K 38
 
8.8%
I 6
 
1.4%
1 5
 
1.2%
C 5
 
1.2%
l 4
 
0.9%
f 4
 
0.9%
Other values (17) 26
 
6.0%
None
ValueCountFrequency (%)
㈜ 36
100.0%
CJK
ValueCountFrequency (%)
美 1
33.3%
親 1
33.3%
笑 1
33.3%

대표자명
Text

Distinct609
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T16:31:36.395703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.9681621
Min length2

Characters and Unicode

Total characters2742
Distinct characters254
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)80.9%

Sample

1st row김두영
2nd row김현수
3rd row최윤묵, 최진영
4th row문종박
5th row최종헌
ValueCountFrequency (%)
문종박 14
 
1.9%
조경목 9
 
1.2%
sk네트웍스(주)(최신원 7
 
1.0%
김도영 4
 
0.6%
강동구 3
 
0.4%
문종훈 3
 
0.4%
손현곤 3
 
0.4%
최신원 3
 
0.4%
송영창 3
 
0.4%
김영춘 3
 
0.4%
Other values (620) 669
92.8%
2023-12-12T16:31:36.903755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 134
 
4.9%
이 91
 
3.3%
영 83
 
3.0%
박 69
 
2.5%
) 66
 
2.4%
( 66
 
2.4%
주 63
 
2.3%
정 58
 
2.1%
최 57
 
2.1%
조 49
 
1.8%
Other values (244) 2006
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2539
92.6%
Close Punctuation 66
 
2.4%
Open Punctuation 66
 
2.4%
Space Separator 31
 
1.1%
Uppercase Letter 16
 
0.6%
Other Punctuation 15
 
0.5%
Decimal Number 5
 
0.2%
Other Symbol 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 134
 
5.3%
이 91
 
3.6%
영 83
 
3.3%
박 69
 
2.7%
주 63
 
2.5%
정 58
 
2.3%
최 57
 
2.2%
조 49
 
1.9%
종 46
 
1.8%
진 35
 
1.4%
Other values (233) 1854
73.0%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
: 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
K 8
50.0%
S 8
50.0%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
2 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2542
92.7%
Common 184
 
6.7%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 134
 
5.3%
이 91
 
3.6%
영 83
 
3.3%
박 69
 
2.7%
주 63
 
2.5%
정 58
 
2.3%
최 57
 
2.2%
조 49
 
1.9%
종 46
 
1.8%
진 35
 
1.4%
Other values (234) 1857
73.1%
Common
ValueCountFrequency (%)
) 66
35.9%
( 66
35.9%
31
16.8%
, 14
 
7.6%
1 4
 
2.2%
- 1
 
0.5%
2 1
 
0.5%
: 1
 
0.5%
Latin
ValueCountFrequency (%)
K 8
50.0%
S 8
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2539
92.6%
ASCII 200
 
7.3%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 134
 
5.3%
이 91
 
3.6%
영 83
 
3.3%
박 69
 
2.7%
주 63
 
2.5%
정 58
 
2.3%
최 57
 
2.2%
조 49
 
1.9%
종 46
 
1.8%
진 35
 
1.4%
Other values (233) 1854
73.0%
ASCII
ValueCountFrequency (%)
) 66
33.0%
( 66
33.0%
31
15.5%
, 14
 
7.0%
K 8
 
4.0%
S 8
 
4.0%
1 4
 
2.0%
- 1
 
0.5%
2 1
 
0.5%
: 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%

연락처
Text

Distinct674
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T16:31:37.169243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.007236
Min length1

Characters and Unicode

Total characters8297
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique658 ?
Unique (%)95.2%

Sample

1st row033-534-0663
2nd row033-534-1311
3rd row033-534-1700
4th row033-534-2335
5th row033-641-0044
ValueCountFrequency (%)
033-262-5198 3
 
0.4%
033-562-5189 2
 
0.3%
033-462-8220 2
 
0.3%
033-252-5006 2
 
0.3%
033-251-9777 2
 
0.3%
033-243-5188 2
 
0.3%
033-335-7426 2
 
0.3%
033-636-8897 2
 
0.3%
033-334-9797 2
 
0.3%
033-763-9963 2
 
0.3%
Other values (665) 671
97.0%
2023-12-12T16:31:37.598873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1979
23.9%
- 1382
16.7%
0 1061
12.8%
5 682
 
8.2%
4 592
 
7.1%
1 540
 
6.5%
2 530
 
6.4%
6 514
 
6.2%
7 446
 
5.4%
8 347
 
4.2%
Other values (3) 224
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6910
83.3%
Dash Punctuation 1382
 
16.7%
Space Separator 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1979
28.6%
0 1061
15.4%
5 682
 
9.9%
4 592
 
8.6%
1 540
 
7.8%
2 530
 
7.7%
6 514
 
7.4%
7 446
 
6.5%
8 347
 
5.0%
9 219
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1382
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1979
23.9%
- 1382
16.7%
0 1061
12.8%
5 682
 
8.2%
4 592
 
7.1%
1 540
 
6.5%
2 530
 
6.4%
6 514
 
6.2%
7 446
 
5.4%
8 347
 
4.2%
Other values (3) 224
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1979
23.9%
- 1382
16.7%
0 1061
12.8%
5 682
 
8.2%
4 592
 
7.1%
1 540
 
6.5%
2 530
 
6.4%
6 514
 
6.2%
7 446
 
5.4%
8 347
 
4.2%
Other values (3) 224
 
2.7%

소재지주소
Text

Distinct686
Distinct (%)99.4%
Missing1
Missing (%)0.1%
Memory size5.5 KiB
2023-12-12T16:31:37.967473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length20.673913
Min length16

Characters and Unicode

Total characters14265
Distinct characters238
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique682 ?
Unique (%)98.8%

Sample

1st row강원도 강릉시 옥계면 현내시장길 14
2nd row강원도 강릉시 옥계면 동해대로 449-25
3rd row강원도 강릉시 옥계면 동해고속도로 322
4th row강원도 강릉시 옥계면 동해대로 321
5th row강원도 강릉시 강릉대로 161(교동)
ValueCountFrequency (%)
강원도 688
 
20.5%
원주시 115
 
3.4%
강릉시 92
 
2.7%
동해대로 71
 
2.1%
춘천시 67
 
2.0%
홍천군 51
 
1.5%
평창군 42
 
1.2%
영월군 35
 
1.0%
동해시 33
 
1.0%
횡성군 33
 
1.0%
Other values (1026) 2135
63.5%
2023-12-12T16:31:38.469121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2712
19.0%
원 923
 
6.5%
강 869
 
6.1%
도 715
 
5.0%
로 653
 
4.6%
동 425
 
3.0%
시 400
 
2.8%
1 394
 
2.8%
면 321
 
2.3%
3 314
 
2.2%
Other values (228) 6539
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8621
60.4%
Space Separator 2712
 
19.0%
Decimal Number 2374
 
16.6%
Close Punctuation 240
 
1.7%
Open Punctuation 240
 
1.7%
Dash Punctuation 57
 
0.4%
Other Punctuation 21
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 923
 
10.7%
강 869
 
10.1%
도 715
 
8.3%
로 653
 
7.6%
동 425
 
4.9%
시 400
 
4.6%
면 321
 
3.7%
군 303
 
3.5%
천 210
 
2.4%
주 133
 
1.5%
Other values (213) 3669
42.6%
Decimal Number
ValueCountFrequency (%)
1 394
16.6%
3 314
13.2%
2 312
13.1%
4 254
10.7%
5 229
9.6%
6 183
7.7%
8 183
7.7%
7 171
7.2%
9 167
7.0%
0 167
7.0%
Space Separator
ValueCountFrequency (%)
2712
100.0%
Close Punctuation
ValueCountFrequency (%)
) 240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8621
60.4%
Common 5644
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 923
 
10.7%
강 869
 
10.1%
도 715
 
8.3%
로 653
 
7.6%
동 425
 
4.9%
시 400
 
4.6%
면 321
 
3.7%
군 303
 
3.5%
천 210
 
2.4%
주 133
 
1.5%
Other values (213) 3669
42.6%
Common
ValueCountFrequency (%)
2712
48.1%
1 394
 
7.0%
3 314
 
5.6%
2 312
 
5.5%
4 254
 
4.5%
) 240
 
4.3%
( 240
 
4.3%
5 229
 
4.1%
6 183
 
3.2%
8 183
 
3.2%
Other values (5) 583
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8621
60.4%
ASCII 5644
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2712
48.1%
1 394
 
7.0%
3 314
 
5.6%
2 312
 
5.5%
4 254
 
4.5%
) 240
 
4.3%
( 240
 
4.3%
5 229
 
4.1%
6 183
 
3.2%
8 183
 
3.2%
Other values (5) 583
 
10.3%
Hangul
ValueCountFrequency (%)
원 923
 
10.7%
강 869
 
10.1%
도 715
 
8.3%
로 653
 
7.6%
동 425
 
4.9%
시 400
 
4.6%
면 321
 
3.7%
군 303
 
3.5%
천 210
 
2.4%
주 133
 
1.5%
Other values (213) 3669
42.6%

Missing values

2023-12-12T16:31:34.807055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:31:34.921689image/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

시도명시군구명업체명대표자명연락처소재지주소
0강원도강릉시옥계농협주유소김두영033-534-0663강원도 강릉시 옥계면 현내시장길 14
1강원도강릉시㈜용강유통 용강주유소김현수033-534-1311강원도 강릉시 옥계면 동해대로 449-25
2강원도강릉시서창산업㈜ 옥계(속초방향)주유소최윤묵, 최진영033-534-1700강원도 강릉시 옥계면 동해고속도로 322
3강원도강릉시현대오일뱅크㈜직영 옥계그린주유소문종박033-534-2335강원도 강릉시 옥계면 동해대로 321
4강원도강릉시홍길동주유소최종헌033-641-0044강원도 강릉시 강릉대로 161(교동)
5강원도강릉시동국주유소이영자033-641-1234강원도 강릉시 남구길 31(포남동)
6강원도강릉시솔향주유소최태규033-641-1771강원도 강릉시 공제로437번길 1(홍제동)
7강원도강릉시㈜동해에너지 강릉주유소김기열033-641-2539강원도 강릉시 경강로 2101(임당동)
8강원도강릉시SK에너지㈜ SK교동주유소조경목033-641-4450강원도 강릉시 하슬라로 159(교동)
9강원도강릉시죽헌동 주유소최재현033-641-5146강원도 강릉시 동해대로 3373 (죽헌동)
시도명시군구명업체명대표자명연락처소재지주소
681강원도횡성군동횡성농협주유소 갑천지점이재훈033-344-0400강원도 횡성군 갑천면 청정로 323
682강원도횡성군강림주유소윤길중033-344-1011강원도 횡성군 강림면 주천강로 1335
683강원도횡성군강원주유소김범기033-344-2233강원도 횡성군 횡성읍 횡성로 75
684강원도횡성군공근농협주유소(상창봉점)최순태033-344-3431강원도 횡성군 공근면 영서로 1072
685강원도횡성군둔방내리주유소백희자033-344-4266강원도 횡성군 둔내면 경강로 4555
686강원도횡성군서원농협주유소서원농업협동조합(최종석)033-344-6024강원도 횡성군 서원면 경강로 800
687강원도횡성군수백주유소원문호033-344-6241강원도 횡성군 횡성읍 섬강로 386
688강원도횡성군뉴새말주유소최효정033-344-8086강원도 횡성군 우천면 전재로 50
689강원도횡성군횡성농협클린주유소최승진033-345-4848강원도 횡성군 횡성읍 한우로 323
690강원도횡성군새말우천주유소백화숙033-345-5150강원도 횡성군 우천면 한우로 1065

Duplicate rows

Most frequently occurring

시도명시군구명업체명대표자명연락처소재지주소# duplicates
0강원도춘천시대형주유소김상기033-252-5006강원도 춘천시 경춘로 2155(온의동)2