Overview

Dataset statistics

Number of variables9
Number of observations28
Missing cells8
Missing cells (%)3.2%
Duplicate rows1
Duplicate rows (%)3.6%
Total size in memory2.1 KiB
Average record size in memory76.6 B

Variable types

DateTime1
Categorical4
Text4

Dataset

Description부산광역시 수영구 행정사사무소 현황 데이터로 신고연월일, 행정사종류, 사무소명칭, 주소 등 정보를 제공하고 있다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/3046165/fileData.do

Alerts

영업여부 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (3.6%) duplicate rowsDuplicates
행정사종류 is highly imbalanced (77.8%)Imbalance
전화번호 has 8 (28.6%) missing valuesMissing

Reproduction

Analysis started2024-03-14 23:56:29.670426
Analysis finished2024-03-14 23:56:30.738688
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size352.0 B
Minimum2001-09-10 00:00:00
Maximum2023-05-22 00:00:00
2024-03-15T08:56:30.900410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:56:31.287548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

행정사종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size352.0 B
일반행정사
27 
해사행정사
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정사 27
96.4%
해사행정사 1
 
3.6%

Length

2024-03-15T08:56:31.628434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:56:31.820760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 27
96.4%
해사행정사 1
 
3.6%

성명
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T08:56:32.425234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters84
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row김혜림
2nd row김도현
3rd row유병석
4th row이평엽
5th row이정율
ValueCountFrequency (%)
이정율 2
 
7.1%
김종년 2
 
7.1%
김혜림 1
 
3.6%
장연도 1
 
3.6%
문영호 1
 
3.6%
조세현 1
 
3.6%
천영오 1
 
3.6%
허종수 1
 
3.6%
황구화 1
 
3.6%
서민국 1
 
3.6%
Other values (16) 16
57.1%
2024-03-15T08:56:33.472010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
7.1%
5
 
6.0%
5
 
6.0%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (44) 50
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
7.1%
5
 
6.0%
5
 
6.0%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (44) 50
59.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
7.1%
5
 
6.0%
5
 
6.0%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (44) 50
59.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
7.1%
5
 
6.0%
5
 
6.0%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (44) 50
59.5%
Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T08:56:34.089331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length9.1785714
Min length5

Characters and Unicode

Total characters257
Distinct characters69
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)82.1%

Sample

1st row신정행정사사무소
2nd row해송 행정사사무소
3rd row경기 행정사 사무소
4th row글로벌(GLOBAL) 행정사 사무소
5th row해율행정사사무소
ValueCountFrequency (%)
행정사 7
 
15.9%
사무소 5
 
11.4%
행정사사무소 4
 
9.1%
k&n 3
 
6.8%
해율행정사사무소 2
 
4.5%
박정필 1
 
2.3%
신정행정사사무소 1
 
2.3%
정자현사무소 1
 
2.3%
문영호 1
 
2.3%
조세현 1
 
2.3%
Other values (18) 18
40.9%
2024-03-15T08:56:35.158622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
20.2%
33
12.8%
28
10.9%
24
 
9.3%
24
 
9.3%
16
 
6.2%
K 4
 
1.6%
N 4
 
1.6%
3
 
1.2%
& 3
 
1.2%
Other values (59) 66
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
86.0%
Space Separator 16
 
6.2%
Uppercase Letter 15
 
5.8%
Other Punctuation 3
 
1.2%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
23.5%
33
14.9%
28
12.7%
24
10.9%
24
10.9%
3
 
1.4%
2
 
0.9%
2
 
0.9%
2
 
0.9%
2
 
0.9%
Other values (47) 49
22.2%
Uppercase Letter
ValueCountFrequency (%)
K 4
26.7%
N 4
26.7%
L 2
13.3%
G 1
 
6.7%
O 1
 
6.7%
B 1
 
6.7%
A 1
 
6.7%
P 1
 
6.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
86.0%
Common 21
 
8.2%
Latin 15
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
23.5%
33
14.9%
28
12.7%
24
10.9%
24
10.9%
3
 
1.4%
2
 
0.9%
2
 
0.9%
2
 
0.9%
2
 
0.9%
Other values (47) 49
22.2%
Latin
ValueCountFrequency (%)
K 4
26.7%
N 4
26.7%
L 2
13.3%
G 1
 
6.7%
O 1
 
6.7%
B 1
 
6.7%
A 1
 
6.7%
P 1
 
6.7%
Common
ValueCountFrequency (%)
16
76.2%
& 3
 
14.3%
) 1
 
4.8%
( 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
86.0%
ASCII 36
 
14.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
52
23.5%
33
14.9%
28
12.7%
24
10.9%
24
10.9%
3
 
1.4%
2
 
0.9%
2
 
0.9%
2
 
0.9%
2
 
0.9%
Other values (47) 49
22.2%
ASCII
ValueCountFrequency (%)
16
44.4%
K 4
 
11.1%
N 4
 
11.1%
& 3
 
8.3%
L 2
 
5.6%
) 1
 
2.8%
( 1
 
2.8%
G 1
 
2.8%
O 1
 
2.8%
B 1
 
2.8%
Other values (2) 2
 
5.6%
Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-03-15T08:56:36.029917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40.5
Mean length32.5
Min length22

Characters and Unicode

Total characters910
Distinct characters85
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)75.0%

Sample

1st row부산광역시 수영구 수영로642번길 28, 3층 (광안동)
2nd row부산광역시 수영구 남천동로108번길 20, 4층 G 3호 (남천동)
3rd row부산광역시 수영구 광일로67번길 68, 103동 104호(광안동, 광명아파트)
4th row부산광역시 수영구 광서로 54, 1동 201호(광안동, 상아아파트)
5th row부산광역시 수영구 수영로 641, 101동 1810호 (광안동, 힐탑더블시티)
ValueCountFrequency (%)
부산광역시 28
 
16.2%
수영구 28
 
16.2%
수영로 7
 
4.0%
광안동 5
 
2.9%
광안동, 4
 
2.3%
망미동 4
 
2.3%
민락동 4
 
2.3%
남천동 3
 
1.7%
29-1, 3
 
1.7%
민락본동로 3
 
1.7%
Other values (73) 84
48.6%
2024-03-15T08:56:37.131210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
15.9%
47
 
5.2%
44
 
4.8%
43
 
4.7%
38
 
4.2%
1 32
 
3.5%
30
 
3.3%
29
 
3.2%
29
 
3.2%
29
 
3.2%
Other values (75) 444
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
57.5%
Decimal Number 152
 
16.7%
Space Separator 145
 
15.9%
Close Punctuation 28
 
3.1%
Open Punctuation 28
 
3.1%
Other Punctuation 25
 
2.7%
Dash Punctuation 8
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
9.0%
44
 
8.4%
43
 
8.2%
38
 
7.3%
30
 
5.7%
29
 
5.5%
29
 
5.5%
29
 
5.5%
28
 
5.4%
28
 
5.4%
Other values (59) 178
34.0%
Decimal Number
ValueCountFrequency (%)
1 32
21.1%
2 23
15.1%
0 19
12.5%
4 18
11.8%
3 18
11.8%
9 10
 
6.6%
6 9
 
5.9%
8 9
 
5.9%
5 8
 
5.3%
7 6
 
3.9%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
57.5%
Common 386
42.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
9.0%
44
 
8.4%
43
 
8.2%
38
 
7.3%
30
 
5.7%
29
 
5.5%
29
 
5.5%
29
 
5.5%
28
 
5.4%
28
 
5.4%
Other values (59) 178
34.0%
Common
ValueCountFrequency (%)
145
37.6%
1 32
 
8.3%
) 28
 
7.3%
( 28
 
7.3%
25
 
6.5%
2 23
 
6.0%
0 19
 
4.9%
4 18
 
4.7%
3 18
 
4.7%
9 10
 
2.6%
Other values (5) 40
 
10.4%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
57.5%
ASCII 362
39.8%
None 25
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
40.1%
1 32
 
8.8%
) 28
 
7.7%
( 28
 
7.7%
2 23
 
6.4%
0 19
 
5.2%
4 18
 
5.0%
3 18
 
5.0%
9 10
 
2.8%
6 9
 
2.5%
Other values (5) 32
 
8.8%
Hangul
ValueCountFrequency (%)
47
 
9.0%
44
 
8.4%
43
 
8.2%
38
 
7.3%
30
 
5.7%
29
 
5.5%
29
 
5.5%
29
 
5.5%
28
 
5.4%
28
 
5.4%
Other values (59) 178
34.0%
None
ValueCountFrequency (%)
25
100.0%

전화번호
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing8
Missing (%)28.6%
Memory size352.0 B
2024-03-15T08:56:37.706667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.55
Min length1

Characters and Unicode

Total characters231
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)85.0%

Sample

1st row
2nd row051-754-7772
3rd row051-623-3999
4th row051-623-3999
5th row051-623-3999
ValueCountFrequency (%)
051-623-3999 3
15.8%
051-753-4760 1
 
5.3%
051-756-3618 1
 
5.3%
070-4065-6103 1
 
5.3%
051-753-1102 1
 
5.3%
051-754-6868 1
 
5.3%
051-758-9290 1
 
5.3%
070-4250-3671 1
 
5.3%
051-754-7243 1
 
5.3%
051-759-4306 1
 
5.3%
Other values (7) 7
36.8%
2024-03-15T08:56:38.823021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
16.5%
5 37
16.0%
0 31
13.4%
1 27
11.7%
7 21
9.1%
6 16
6.9%
3 16
6.9%
9 14
 
6.1%
2 13
 
5.6%
4 10
 
4.3%
Other values (2) 8
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
83.1%
Dash Punctuation 38
 
16.5%
Space Separator 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 37
19.3%
0 31
16.1%
1 27
14.1%
7 21
10.9%
6 16
8.3%
3 16
8.3%
9 14
 
7.3%
2 13
 
6.8%
4 10
 
5.2%
8 7
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
16.5%
5 37
16.0%
0 31
13.4%
1 27
11.7%
7 21
9.1%
6 16
6.9%
3 16
6.9%
9 14
 
6.1%
2 13
 
5.6%
4 10
 
4.3%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
16.5%
5 37
16.0%
0 31
13.4%
1 27
11.7%
7 21
9.1%
6 16
6.9%
3 16
6.9%
9 14
 
6.1%
2 13
 
5.6%
4 10
 
4.3%
Other values (2) 8
 
3.5%

영업여부
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
영업중
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
100.0%

Length

2024-03-15T08:56:39.076633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:56:39.239947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
부산광역시 수영구
28 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 수영구
2nd row부산광역시 수영구
3rd row부산광역시 수영구
4th row부산광역시 수영구
5th row부산광역시 수영구

Common Values

ValueCountFrequency (%)
부산광역시 수영구 28
100.0%

Length

2024-03-15T08:56:39.543612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:56:39.849516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 28
50.0%
수영구 28
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-01-01
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-01
2nd row2024-01-01
3rd row2024-01-01
4th row2024-01-01
5th row2024-01-01

Common Values

ValueCountFrequency (%)
2024-01-01 28
100.0%

Length

2024-03-15T08:56:40.062621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:56:40.286638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-01 28
100.0%

Correlations

2024-03-15T08:56:40.508137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고연월일행정사종류성명사무소명칭도로명주소전화번호
신고연월일1.0000.0001.0001.0000.9981.000
행정사종류0.0001.0000.0000.0000.000NaN
성명1.0000.0001.0001.0001.0001.000
사무소명칭1.0000.0001.0001.0001.0001.000
도로명주소0.9980.0001.0001.0001.0001.000
전화번호1.000NaN1.0001.0001.0001.000

Missing values

2024-03-15T08:56:30.306193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:56:30.562837image/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

신고연월일행정사종류성명사무소명칭도로명주소전화번호영업여부구군명데이터기준일자
02023-05-22일반행정사김혜림신정행정사사무소부산광역시 수영구 수영로642번길 28, 3층 (광안동)영업중부산광역시 수영구2024-01-01
12023-04-13일반행정사김도현해송 행정사사무소부산광역시 수영구 남천동로108번길 20, 4층 G 3호 (남천동)<NA>영업중부산광역시 수영구2024-01-01
22022-03-14일반행정사유병석경기 행정사 사무소부산광역시 수영구 광일로67번길 68, 103동 104호(광안동, 광명아파트)<NA>영업중부산광역시 수영구2024-01-01
32021-11-01일반행정사이평엽글로벌(GLOBAL) 행정사 사무소부산광역시 수영구 광서로 54, 1동 201호(광안동, 상아아파트)<NA>영업중부산광역시 수영구2024-01-01
42021-06-14일반행정사이정율해율행정사사무소부산광역시 수영구 수영로 641, 101동 1810호 (광안동, 힐탑더블시티)051-754-7772영업중부산광역시 수영구2024-01-01
52021-06-14해사행정사이정율해율행정사사무소부산광역시 수영구 수영로 641, 101동 1810호 (광안동, 힐탑더블시티)<NA>영업중부산광역시 수영구2024-01-01
62018-07-18일반행정사남재근K&N 행정사사무소부산광역시 수영구 민락본동로 29-1, 3층층 (민락동)051-623-3999영업중부산광역시 수영구2024-01-01
72018-07-18일반행정사김종년K&N 행정사사무소부산광역시 수영구 민락본동로 29-1, 3층층 (민락동)051-623-3999영업중부산광역시 수영구2024-01-01
82018-10-17일반행정사유도형PNK행정사사무소부산광역시 수영구 광서로10번길 24, 203호 (광안동, 토명비취빌)<NA>영업중부산광역시 수영구2024-01-01
92012-12-12일반행정사하문규행정사하문규사무소부산광역시 수영구 수영로 591 (광안동)<NA>영업중부산광역시 수영구2024-01-01
신고연월일행정사종류성명사무소명칭도로명주소전화번호영업여부구군명데이터기준일자
182012-12-24일반행정사박정필박정필 행정사부산광역시 수영구 과정로41번길 54-4 (망미동)051-756-3618영업중부산광역시 수영구2024-01-01
192003-10-16일반행정사서형찬서형찬행정사사무소부산광역시 수영구 광일로 70, 1205호 (광안동, 광안메르빌)<NA>영업중부산광역시 수영구2024-01-01
202012-12-31일반행정사윤대기진로행정사부산광역시 수영구 민락수변로7번길 69 (민락동, 진로비치아파트 관리사무소)051-753-4760영업중부산광역시 수영구2024-01-01
212012-11-21일반행정사서민국민국일반행정사사무소부산광역시 수영구 수영로 721, 901호 (수영동, 수영리첸빌)070-4250-3671영업중부산광역시 수영구2024-01-01
222006-09-22일반행정사황구화황구화행정사부산광역시 수영구 광안해변로 433 (민락동)051-758-9290영업중부산광역시 수영구2024-01-01
232006-12-28일반행정사허종수행정사허종수사무소부산광역시 수영구 호암로29번가길 15-6 (광안동)<NA>영업중부산광역시 수영구2024-01-01
242012-05-11일반행정사천영오천영오행정사부산광역시 수영구 망미번영로52번길 26 (수영동)051-754-6868영업중부산광역시 수영구2024-01-01
252012-11-21일반행정사조세현행정사 조세현 사무소부산광역시 수영구 수영로741번길 38, 204동 2301호 (수영동, 협성르네상스타운)051-753-1102영업중부산광역시 수영구2024-01-01
262012-11-30일반행정사문영호문영호 행정사 사무소부산광역시 수영구 황령대로489번길 29, 3-1, 3-2호 (남천동, 백산상가6동)070-4065-6103영업중부산광역시 수영구2024-01-01
272001-09-10일반행정사유한봉행정사유한봉사무소부산광역시 수영구 수영로 521 (광안동)051-751-2788영업중부산광역시 수영구2024-01-01

Duplicate rows

Most frequently occurring

신고연월일행정사종류성명사무소명칭도로명주소전화번호영업여부구군명데이터기준일자# duplicates
02018-07-18일반행정사김종년K&N 행정사사무소부산광역시 수영구 민락본동로 29-1, 3층층 (민락동)051-623-3999영업중부산광역시 수영구2024-01-012