Overview

Dataset statistics

Number of variables5
Number of observations62
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory42.1 B

Variable types

Text5

Dataset

Description해당 자료에는 데이터 기준일을 기준으로 한국산업은행 국내 영업점의 연락처와 팩스, 주소 및 위치 정보가 수록되어 있습니다.
Author한국산업은행
URLhttps://www.data.go.kr/data/15005087/fileData.do

Alerts

팩스 has 1 (1.6%) missing valuesMissing
지점명 has unique valuesUnique
전화번호 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:03:27.963569
Analysis finished2023-12-12 06:03:28.606869
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지점명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T15:03:28.834251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.2419355
Min length3

Characters and Unicode

Total characters263
Distinct characters79
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row가산지점
2nd row강남지점
3rd row구로디지털지점
4th row노원지점
5th row도곡지점
ValueCountFrequency (%)
가산지점 1
 
1.6%
대구지점 1
 
1.6%
전주지점 1
 
1.6%
평택지점 1
 
1.6%
하남지점 1
 
1.6%
금정지점 1
 
1.6%
김해지점 1
 
1.6%
부산지점 1
 
1.6%
서부산지점 1
 
1.6%
양산지점 1
 
1.6%
Other values (53) 53
84.1%
2023-12-12T15:03:29.250225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 61
23.2%
점 60
22.8%
산 11
 
4.2%
주 7
 
2.7%
원 6
 
2.3%
포 5
 
1.9%
서 4
 
1.5%
부 4
 
1.5%
구 4
 
1.5%
도 4
 
1.5%
Other values (69) 97
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 61
23.3%
점 60
22.9%
산 11
 
4.2%
주 7
 
2.7%
원 6
 
2.3%
포 5
 
1.9%
서 4
 
1.5%
부 4
 
1.5%
구 4
 
1.5%
도 4
 
1.5%
Other values (68) 96
36.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 61
23.3%
점 60
22.9%
산 11
 
4.2%
주 7
 
2.7%
원 6
 
2.3%
포 5
 
1.9%
서 4
 
1.5%
부 4
 
1.5%
구 4
 
1.5%
도 4
 
1.5%
Other values (68) 96
36.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 61
23.3%
점 60
22.9%
산 11
 
4.2%
주 7
 
2.7%
원 6
 
2.3%
포 5
 
1.9%
서 4
 
1.5%
부 4
 
1.5%
구 4
 
1.5%
도 4
 
1.5%
Other values (68) 96
36.6%
ASCII
ValueCountFrequency (%)
1
100.0%

전화번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T15:03:29.505323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length11.967742
Min length11

Characters and Unicode

Total characters742
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row02-2081-3500
2nd row02-560-0300
3rd row02-3282-8900
4th row02-950-9500
5th row02-3498-3800
ValueCountFrequency (%)
02-2081-3500 1
 
1.6%
053-606-2500 1
 
1.6%
063-230-6600 1
 
1.6%
031-659-0500 1
 
1.6%
031-5175-2100 1
 
1.6%
051-510-4700 1
 
1.6%
055-310-2220 1
 
1.6%
051-240-1600 1
 
1.6%
051-974-4100 1
 
1.6%
055-380-8500 1
 
1.6%
Other values (52) 52
83.9%
2023-12-12T15:03:29.922996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
30.6%
- 124
16.7%
2 68
 
9.2%
3 56
 
7.5%
5 48
 
6.5%
1 44
 
5.9%
4 44
 
5.9%
8 37
 
5.0%
6 33
 
4.4%
9 33
 
4.4%
Other values (4) 28
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 615
82.9%
Dash Punctuation 124
 
16.7%
Open Punctuation 1
 
0.1%
Other Letter 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
36.9%
2 68
 
11.1%
3 56
 
9.1%
5 48
 
7.8%
1 44
 
7.2%
4 44
 
7.2%
8 37
 
6.0%
6 33
 
5.4%
9 33
 
5.4%
7 25
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Letter
ValueCountFrequency (%)
층 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 741
99.9%
Hangul 1
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 227
30.6%
- 124
16.7%
2 68
 
9.2%
3 56
 
7.6%
5 48
 
6.5%
1 44
 
5.9%
4 44
 
5.9%
8 37
 
5.0%
6 33
 
4.5%
9 33
 
4.5%
Other values (3) 27
 
3.6%
Hangul
ValueCountFrequency (%)
층 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 741
99.9%
Hangul 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
30.6%
- 124
16.7%
2 68
 
9.2%
3 56
 
7.6%
5 48
 
6.5%
1 44
 
5.9%
4 44
 
5.9%
8 37
 
5.0%
6 33
 
4.5%
9 33
 
4.5%
Other values (3) 27
 
3.6%
Hangul
ValueCountFrequency (%)
층 1
100.0%

팩스
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size628.0 B
2023-12-12T15:03:30.180156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.213115
Min length5

Characters and Unicode

Total characters745
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row02-857-7598~9
2nd row02-560-0349
3rd row02-851-0360
4th row02-934-7709
5th row02-579-0246~7
ValueCountFrequency (%)
02-857-7598~9 1
 
1.6%
053-255-1460 1
 
1.6%
063-230-6666/6626 1
 
1.6%
031-654-8198 1
 
1.6%
031-5175-2199 1
 
1.6%
051-510-4798 1
 
1.6%
055-310-2299 1
 
1.6%
051-240-1701 1
 
1.6%
051-941-6199 1
 
1.6%
055-380-8598 1
 
1.6%
Other values (52) 52
83.9%
2023-12-12T15:03:30.587873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 121
16.2%
0 97
13.0%
9 74
9.9%
2 69
9.3%
5 63
8.5%
1 63
8.5%
3 61
8.2%
4 54
7.2%
8 50
6.7%
6 40
 
5.4%
Other values (5) 53
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
81.9%
Dash Punctuation 121
 
16.2%
Math Symbol 11
 
1.5%
Other Punctuation 2
 
0.3%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 97
15.9%
9 74
12.1%
2 69
11.3%
5 63
10.3%
1 63
10.3%
3 61
10.0%
4 54
8.9%
8 50
8.2%
6 40
6.6%
7 39
6.4%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 745
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 121
16.2%
0 97
13.0%
9 74
9.9%
2 69
9.3%
5 63
8.5%
1 63
8.5%
3 61
8.2%
4 54
7.2%
8 50
6.7%
6 40
 
5.4%
Other values (5) 53
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 121
16.2%
0 97
13.0%
9 74
9.9%
2 69
9.3%
5 63
8.5%
1 63
8.5%
3 61
8.2%
4 54
7.2%
8 50
6.7%
6 40
 
5.4%
Other values (5) 53
7.1%

도로명주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T15:03:30.912745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length36.064516
Min length21

Characters and Unicode

Total characters2236
Distinct characters226
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row[08507] 서울특별시 금천구 가산디지털1로 128, 2층 (가산동, STX V타워)
2nd row[06182] 서울특별시 강남구 영동대로 421 삼탄빌딩 1층/10층
3rd row[08379] 서울특별시 구로구 디지털로 300, 3층 (구로동, 지밸리비즈플라자)
4th row[01689] 서울특별시 노원구 노해로 467, 1~2층 (상계동, 교보생명빌딩)
5th row[06292] 서울특별시 강남구 언주로30길21, 2층 (도곡동, 아카데미스위트)
ValueCountFrequency (%)
서울특별시 17
 
4.0%
경기도 14
 
3.3%
2층 13
 
3.0%
1층 8
 
1.9%
강남구 5
 
1.2%
3층 3
 
0.7%
1~2층 3
 
0.7%
충청남도 3
 
0.7%
부산광역시 3
 
0.7%
경상북도 3
 
0.7%
Other values (332) 358
83.3%
2023-12-12T15:03:31.436158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
 
16.5%
2 88
 
3.9%
1 88
 
3.9%
0 68
 
3.0%
시 66
 
3.0%
로 64
 
2.9%
[ 62
 
2.8%
] 62
 
2.8%
5 59
 
2.6%
동 53
 
2.4%
Other values (216) 1257
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1057
47.3%
Decimal Number 536
24.0%
Space Separator 369
 
16.5%
Open Punctuation 108
 
4.8%
Close Punctuation 108
 
4.8%
Other Punctuation 33
 
1.5%
Uppercase Letter 18
 
0.8%
Dash Punctuation 3
 
0.1%
Math Symbol 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 66
 
6.2%
로 64
 
6.1%
동 53
 
5.0%
구 49
 
4.6%
서 36
 
3.4%
도 35
 
3.3%
층 32
 
3.0%
경 27
 
2.6%
남 26
 
2.5%
대 24
 
2.3%
Other values (182) 645
61.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
16.7%
S 2
11.1%
Y 2
11.1%
T 2
11.1%
I 1
 
5.6%
C 1
 
5.6%
B 1
 
5.6%
X 1
 
5.6%
D 1
 
5.6%
V 1
 
5.6%
Other values (3) 3
16.7%
Decimal Number
ValueCountFrequency (%)
2 88
16.4%
1 88
16.4%
0 68
12.7%
5 59
11.0%
3 48
9.0%
6 47
8.8%
7 38
7.1%
8 38
7.1%
4 36
6.7%
9 26
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 31
93.9%
/ 1
 
3.0%
' 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
[ 62
57.4%
( 46
42.6%
Close Punctuation
ValueCountFrequency (%)
] 62
57.4%
) 46
42.6%
Space Separator
ValueCountFrequency (%)
369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1160
51.9%
Hangul 1057
47.3%
Latin 19
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 66
 
6.2%
로 64
 
6.1%
동 53
 
5.0%
구 49
 
4.6%
서 36
 
3.4%
도 35
 
3.3%
층 32
 
3.0%
경 27
 
2.6%
남 26
 
2.5%
대 24
 
2.3%
Other values (182) 645
61.0%
Common
ValueCountFrequency (%)
369
31.8%
2 88
 
7.6%
1 88
 
7.6%
0 68
 
5.9%
[ 62
 
5.3%
] 62
 
5.3%
5 59
 
5.1%
3 48
 
4.1%
6 47
 
4.1%
( 46
 
4.0%
Other values (10) 223
19.2%
Latin
ValueCountFrequency (%)
A 3
15.8%
S 2
10.5%
Y 2
10.5%
T 2
10.5%
I 1
 
5.3%
e 1
 
5.3%
C 1
 
5.3%
B 1
 
5.3%
X 1
 
5.3%
D 1
 
5.3%
Other values (4) 4
21.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1179
52.7%
Hangul 1057
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
31.3%
2 88
 
7.5%
1 88
 
7.5%
0 68
 
5.8%
[ 62
 
5.3%
] 62
 
5.3%
5 59
 
5.0%
3 48
 
4.1%
6 47
 
4.0%
( 46
 
3.9%
Other values (24) 242
20.5%
Hangul
ValueCountFrequency (%)
시 66
 
6.2%
로 64
 
6.1%
동 53
 
5.0%
구 49
 
4.6%
서 36
 
3.4%
도 35
 
3.3%
층 32
 
3.0%
경 27
 
2.6%
남 26
 
2.5%
대 24
 
2.3%
Other values (182) 645
61.0%

지번주소
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T15:03:31.697475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length33
Min length21

Characters and Unicode

Total characters2046
Distinct characters207
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)100.0%

Sample

1st row[08507] 서울특별시 금천구 가산동 371-37 STX V타워 2층
2nd row[06182] 서울특별시 강남구 대치동 947-7 삼탄빌딩 1층/10층
3rd row[08379] 서울특별시 구로구 구로동 188-25번지 지밸리비즈플라자 3층
4th row[01689] 서울특별시 노원구 상계6동 712-1 교보생명빌딩 1,2층
5th row[06292] 서울특별시 강남구 도곡동 467-7 아카데미스위트 2층
ValueCountFrequency (%)
2층 17
 
4.4%
서울특별시 17
 
4.4%
경기도 14
 
3.6%
강남구 5
 
1.3%
1층 5
 
1.3%
경상북도 3
 
0.8%
충청남도 3
 
0.8%
서초구 3
 
0.8%
부산광역시 3
 
0.8%
충청북도 3
 
0.8%
Other values (295) 316
81.2%
2023-12-12T15:03:32.088404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
 
16.4%
1 103
 
5.0%
2 88
 
4.3%
동 69
 
3.4%
시 65
 
3.2%
5 64
 
3.1%
0 63
 
3.1%
[ 62
 
3.0%
] 62
 
3.0%
3 55
 
2.7%
Other values (197) 1079
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 902
44.1%
Decimal Number 601
29.4%
Space Separator 336
 
16.4%
Open Punctuation 67
 
3.3%
Close Punctuation 67
 
3.3%
Dash Punctuation 46
 
2.2%
Uppercase Letter 18
 
0.9%
Other Punctuation 7
 
0.3%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 69
 
7.6%
시 65
 
7.2%
구 48
 
5.3%
도 36
 
4.0%
층 33
 
3.7%
서 32
 
3.5%
경 26
 
2.9%
남 21
 
2.3%
울 20
 
2.2%
산 19
 
2.1%
Other values (163) 533
59.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
16.7%
Y 2
11.1%
S 2
11.1%
T 2
11.1%
I 1
 
5.6%
C 1
 
5.6%
B 1
 
5.6%
D 1
 
5.6%
V 1
 
5.6%
X 1
 
5.6%
Other values (3) 3
16.7%
Decimal Number
ValueCountFrequency (%)
1 103
17.1%
2 88
14.6%
5 64
10.6%
0 63
10.5%
3 55
9.2%
4 53
8.8%
6 53
8.8%
7 46
7.7%
8 45
7.5%
9 31
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 1
 
14.3%
' 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
[ 62
92.5%
( 5
 
7.5%
Close Punctuation
ValueCountFrequency (%)
] 62
92.5%
) 5
 
7.5%
Space Separator
ValueCountFrequency (%)
336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1125
55.0%
Hangul 902
44.1%
Latin 19
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 69
 
7.6%
시 65
 
7.2%
구 48
 
5.3%
도 36
 
4.0%
층 33
 
3.7%
서 32
 
3.5%
경 26
 
2.9%
남 21
 
2.3%
울 20
 
2.2%
산 19
 
2.1%
Other values (163) 533
59.1%
Common
ValueCountFrequency (%)
336
29.9%
1 103
 
9.2%
2 88
 
7.8%
5 64
 
5.7%
0 63
 
5.6%
[ 62
 
5.5%
] 62
 
5.5%
3 55
 
4.9%
4 53
 
4.7%
6 53
 
4.7%
Other values (10) 186
16.5%
Latin
ValueCountFrequency (%)
A 3
15.8%
Y 2
10.5%
S 2
10.5%
T 2
10.5%
I 1
 
5.3%
C 1
 
5.3%
B 1
 
5.3%
e 1
 
5.3%
D 1
 
5.3%
V 1
 
5.3%
Other values (4) 4
21.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1144
55.9%
Hangul 902
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
29.4%
1 103
 
9.0%
2 88
 
7.7%
5 64
 
5.6%
0 63
 
5.5%
[ 62
 
5.4%
] 62
 
5.4%
3 55
 
4.8%
4 53
 
4.6%
6 53
 
4.6%
Other values (24) 205
17.9%
Hangul
ValueCountFrequency (%)
동 69
 
7.6%
시 65
 
7.2%
구 48
 
5.3%
도 36
 
4.0%
층 33
 
3.7%
서 32
 
3.5%
경 26
 
2.9%
남 21
 
2.3%
울 20
 
2.2%
산 19
 
2.1%
Other values (163) 533
59.1%

Correlations

2023-12-12T15:03:32.193952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지점명전화번호팩스도로명주소지번주소
지점명1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
팩스1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.000

Missing values

2023-12-12T15:03:28.475292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:03:28.567064image/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

지점명전화번호팩스도로명주소지번주소
0가산지점02-2081-350002-857-7598~9[08507] 서울특별시 금천구 가산디지털1로 128, 2층 (가산동, STX V타워)[08507] 서울특별시 금천구 가산동 371-37 STX V타워 2층
1강남지점02-560-030002-560-0349[06182] 서울특별시 강남구 영동대로 421 삼탄빌딩 1층/10층[06182] 서울특별시 강남구 대치동 947-7 삼탄빌딩 1층/10층
2구로디지털지점02-3282-890002-851-0360[08379] 서울특별시 구로구 디지털로 300, 3층 (구로동, 지밸리비즈플라자)[08379] 서울특별시 구로구 구로동 188-25번지 지밸리비즈플라자 3층
3노원지점02-950-950002-934-7709[01689] 서울특별시 노원구 노해로 467, 1~2층 (상계동, 교보생명빌딩)[01689] 서울특별시 노원구 상계6동 712-1 교보생명빌딩 1,2층
4도곡지점02-3498-380002-579-0246~7[06292] 서울특별시 강남구 언주로30길21, 2층 (도곡동, 아카데미스위트)[06292] 서울특별시 강남구 도곡동 467-7 아카데미스위트 2층
5도곡지점대치영업단02-2193-410002-2193-4199[06280] 서울특별시 강남구 남부순환로2935 대치프라자 1층[06280] 서울특별시 강남구 대치동605 대치프라자 1층
6마곡지점02-398-960002-398-9699[07631] 서울특별시 강서구 공항대로 200 (마곡동, 마곡지웰타워), 2층[07631] 서울시 강서구 마곡동 799-4 2층
7마포지점02-3140-040002-338-0479[04032] 서울특별시 마포구 양화로 127 (서교동)[04032] 서울특별시 마포구 서교동 353-4
8반포지점02-3488-850002-594-7990, 7998[06547] 서울특별시 서초구 반포대로 287, 5층 (반포동, 반포래미안퍼스티지중심상가)[06547] 서울특별시 서초구 반포동 18-3 반포래미안퍼스티지중심상가 5층
9서소문지점02-398-950002-398-9599[04515] 서울특별시 중구 서소문로 115(한산빌딩)[04515] 서울특별시 중구 서소문동 47-2
지점명전화번호팩스도로명주소지번주소
52원주지점033-760-3800033-765-1897~8[26462] 강원도 원주시 건강로 1[26462] 강원도 원주시 반곡동 1901-2
53천안지점041-559-2600041-562-8364[31124] 충청남도 천안시 동남구 만남로 82 (신부동)[31124] 충청남도 천안시 신부동 494-6
54청주지점043-229-2900043-255-9001[28527] 충청북도 청주시 상당구 성안로 16 (북문로1가)[28527] 충청북도 청주시 상당구 북문로1가 172번지
55충주지점043-850-7700043-852-2194[27350] 충청북도 충주시 계명대로 195[27350] 충청북도 충주시 연수동 454-71
56광주지점062-958-1000062-953-7984~5[62355] 광주광역시 광산구 무진대로 261 (우산동)[62355] 광주광역시 광산구 우산동 1584-1
57군산지점063-440-3600063-442-5245[54100] 전북 군산시 월명로 206 삼익빌딩 2층[54100] 전북 군산시 수송동 854-2 삼익빌딩 2층
58목포지점061-280-5400061-285-0353~4[58690] 전라남도 목포시 백년대로 306 (상동)[58690] 전라남도 목포시 상동 889-2
59여수지점061-690-8500061-682-0165[59677] 전라남도 여수시 시청로 30 (학동)[59677] 전라남도 여수시 학동 36번지
60전주지점063-230-6600063-230-6666/6626[55038] 전라북도 전주시 완산구 전라감영5길 18 (경원동1가)[55038] 전라북도 전주시 완산구 경원동1가 103번지
61제주지점064-720-1700-8856[63083] 제주특별자치도 제주시 신형로 51[63083] 제주특별자치도 제주시 노형동 3784-8