Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory87.1 B

Variable types

DateTime1
Categorical4
Text3
Numeric2

Dataset

Description부산광역시 북구에 관내에 등록되어 있는 영업중인 행정사 사무소 현황으로 행정사 신고일, 행정사 종류, 행정사이름, 사무소명칭, 행정사 소재지(도로명주소), 위도, 경도, 데이터 기준일자 등을 제공합니다
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15023230/fileData.do

Alerts

행정사종류 has constant value ""Constant
영업여부 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
성명 has unique valuesUnique
사무소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:06:19.337908
Analysis finished2023-12-12 15:06:20.583461
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고연월일
Date

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1999-04-19 00:00:00
Maximum2022-06-29 00:00:00
2023-12-13T00:06:20.637957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:20.773215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

행정사종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
일반행정사
26 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정사 26
100.0%

Length

2023-12-13T00:06:20.885552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:20.966754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 26
100.0%

성명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T00:06:21.147503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters49
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

Unique26 ?
Unique (%)100.0%

Sample

1st row김재섭
2nd row김규식
3rd row김옥래
4th row김순석
5th row강인길
ValueCountFrequency (%)
김재섭 1
 
3.8%
김규식 1
 
3.8%
황주석 1
 
3.8%
정민영 1
 
3.8%
장지무 1
 
3.8%
백성훈 1
 
3.8%
박봉철 1
 
3.8%
박영식 1
 
3.8%
이용우 1
 
3.8%
이상훈 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T00:06:21.503392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
6.4%
정 4
 
5.1%
이 4
 
5.1%
희 4
 
5.1%
영 3
 
3.8%
박 3
 
3.8%
성 3
 
3.8%
장 2
 
2.6%
강 2
 
2.6%
섭 2
 
2.6%
Other values (39) 46
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
6.4%
정 4
 
5.1%
이 4
 
5.1%
희 4
 
5.1%
영 3
 
3.8%
박 3
 
3.8%
성 3
 
3.8%
장 2
 
2.6%
강 2
 
2.6%
섭 2
 
2.6%
Other values (39) 46
59.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
6.4%
정 4
 
5.1%
이 4
 
5.1%
희 4
 
5.1%
영 3
 
3.8%
박 3
 
3.8%
성 3
 
3.8%
장 2
 
2.6%
강 2
 
2.6%
섭 2
 
2.6%
Other values (39) 46
59.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
6.4%
정 4
 
5.1%
이 4
 
5.1%
희 4
 
5.1%
영 3
 
3.8%
박 3
 
3.8%
성 3
 
3.8%
장 2
 
2.6%
강 2
 
2.6%
섭 2
 
2.6%
Other values (39) 46
59.0%

사무소명칭
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T00:06:22.019096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.076923
Min length5

Characters and Unicode

Total characters262
Distinct characters61
Distinct categories3 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row행정사 김재섭 사무소
2nd row행정사 김규식 사무소
3rd row월드행정사
4th row수정 행정사 사무소
5th row강인길 행정사 사무소
ValueCountFrequency (%)
행정사 19
28.8%
사무소 18
27.3%
행정사사무소 3
 
4.5%
에쓰비 1
 
1.5%
으뜸 1
 
1.5%
에이드 1
 
1.5%
장지무 1
 
1.5%
백성훈 1
 
1.5%
나래행정사사무소 1
 
1.5%
bs 1
 
1.5%
Other values (19) 19
28.8%
2023-12-13T00:06:22.357059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 50
19.1%
40
15.3%
정 29
11.1%
행 26
9.9%
무 25
9.5%
소 24
9.2%
김 3
 
1.1%
희 3
 
1.1%
강 2
 
0.8%
에 2
 
0.8%
Other values (51) 58
22.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
82.8%
Space Separator 40
 
15.3%
Uppercase Letter 5
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 50
23.0%
정 29
13.4%
행 26
12.0%
무 25
11.5%
소 24
11.1%
김 3
 
1.4%
희 3
 
1.4%
강 2
 
0.9%
에 2
 
0.9%
종 2
 
0.9%
Other values (45) 51
23.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
E 1
20.0%
B 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
81.7%
Common 40
 
15.3%
Latin 5
 
1.9%
Han 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 50
23.4%
정 29
13.6%
행 26
12.1%
무 25
11.7%
소 24
11.2%
김 3
 
1.4%
희 3
 
1.4%
강 2
 
0.9%
에 2
 
0.9%
종 2
 
0.9%
Other values (42) 48
22.4%
Latin
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
E 1
20.0%
B 1
20.0%
S 1
20.0%
Han
ValueCountFrequency (%)
文 1
33.3%
正 1
33.3%
國 1
33.3%
Common
ValueCountFrequency (%)
40
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
81.7%
ASCII 45
 
17.2%
CJK 3
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 50
23.4%
정 29
13.6%
행 26
12.1%
무 25
11.7%
소 24
11.2%
김 3
 
1.4%
희 3
 
1.4%
강 2
 
0.9%
에 2
 
0.9%
종 2
 
0.9%
Other values (42) 48
22.4%
ASCII
ValueCountFrequency (%)
40
88.9%
T 1
 
2.2%
H 1
 
2.2%
E 1
 
2.2%
B 1
 
2.2%
S 1
 
2.2%
CJK
ValueCountFrequency (%)
文 1
33.3%
正 1
33.3%
國 1
33.3%

도로명주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T00:06:22.595308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length30.115385
Min length22

Characters and Unicode

Total characters783
Distinct characters82
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row부산광역시 북구 사상로 587 (구포동)
2nd row부산광역시 북구 시랑로 183， 1동 402호 (구포동， 백양아파트)
3rd row부산광역시 북구 금곡대로324번길 45， 12동 105호 (화명동， 우신아파트)
4th row부산광역시 북구 덕천로234번길 48， 1-1호 (만덕동， 그린코아상가)
5th row부산광역시 북구 금곡대로 370 (화명동)
ValueCountFrequency (%)
부산광역시 26
 
17.2%
북구 26
 
17.2%
구포동 7
 
4.6%
화명동 4
 
2.6%
사상로 3
 
2.0%
화명동， 2
 
1.3%
31， 2
 
1.3%
화명대로 2
 
1.3%
만덕동 2
 
1.3%
금곡대로 2
 
1.3%
Other values (72) 75
49.7%
2023-12-13T00:06:22.954722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
16.0%
구 35
 
4.5%
동 33
 
4.2%
1 28
 
3.6%
시 28
 
3.6%
로 26
 
3.3%
) 26
 
3.3%
( 26
 
3.3%
부 26
 
3.3%
산 26
 
3.3%
Other values (72) 404
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
57.2%
Decimal Number 134
 
17.1%
Space Separator 125
 
16.0%
Close Punctuation 26
 
3.3%
Open Punctuation 26
 
3.3%
Other Punctuation 21
 
2.7%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 35
 
7.8%
동 33
 
7.4%
시 28
 
6.2%
로 26
 
5.8%
부 26
 
5.8%
산 26
 
5.8%
북 26
 
5.8%
광 26
 
5.8%
역 26
 
5.8%
대 12
 
2.7%
Other values (57) 184
41.1%
Decimal Number
ValueCountFrequency (%)
1 28
20.9%
2 19
14.2%
3 17
12.7%
0 13
9.7%
8 13
9.7%
5 13
9.7%
4 10
 
7.5%
7 10
 
7.5%
6 9
 
6.7%
9 2
 
1.5%
Space Separator
ValueCountFrequency (%)
125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
， 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
57.2%
Common 335
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 35
 
7.8%
동 33
 
7.4%
시 28
 
6.2%
로 26
 
5.8%
부 26
 
5.8%
산 26
 
5.8%
북 26
 
5.8%
광 26
 
5.8%
역 26
 
5.8%
대 12
 
2.7%
Other values (57) 184
41.1%
Common
ValueCountFrequency (%)
125
37.3%
1 28
 
8.4%
) 26
 
7.8%
( 26
 
7.8%
， 21
 
6.3%
2 19
 
5.7%
3 17
 
5.1%
0 13
 
3.9%
8 13
 
3.9%
5 13
 
3.9%
Other values (5) 34
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
57.2%
ASCII 314
40.1%
None 21
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
39.8%
1 28
 
8.9%
) 26
 
8.3%
( 26
 
8.3%
2 19
 
6.1%
3 17
 
5.4%
0 13
 
4.1%
8 13
 
4.1%
5 13
 
4.1%
4 10
 
3.2%
Other values (4) 24
 
7.6%
Hangul
ValueCountFrequency (%)
구 35
 
7.8%
동 33
 
7.4%
시 28
 
6.2%
로 26
 
5.8%
부 26
 
5.8%
산 26
 
5.8%
북 26
 
5.8%
광 26
 
5.8%
역 26
 
5.8%
대 12
 
2.7%
Other values (57) 184
41.1%
None
ValueCountFrequency (%)
， 21
100.0%

영업여부
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업중
26 

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 26
100.0%

Length

2023-12-13T00:06:23.080092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:23.187862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 26
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
부산광역시 북구
26 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 북구 26
100.0%

Length

2023-12-13T00:06:23.284145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:23.359897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 26
50.0%
북구 26
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2022-11-14
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-14
2nd row2022-11-14
3rd row2022-11-14
4th row2022-11-14
5th row2022-11-14

Common Values

ValueCountFrequency (%)
2022-11-14 26
100.0%

Length

2023-12-13T00:06:23.448389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:23.538400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-14 26
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.01099
Minimum128.98996
Maximum129.03876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:06:23.620728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.98996
5-th percentile128.99046
Q1129.00248
median129.01162
Q3129.01698
95-th percentile129.02968
Maximum129.03876
Range0.0488
Interquartile range (IQR)0.014503925

Descriptive statistics

Standard deviation0.013285835
Coefficient of variation (CV)0.00010298219
Kurtosis-0.44799608
Mean129.01099
Median Absolute Deviation (MAD)0.0069832
Skewness0.040612993
Sum3354.2858
Variance0.0001765134
MonotonicityNot monotonic
2023-12-13T00:06:23.739207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
128.9904614 2
 
7.7%
129.0116175 2
 
7.7%
129.0018995 1
 
3.8%
129.0264422 1
 
3.8%
129.0147743 1
 
3.8%
129.0084796 1
 
3.8%
128.9949898 1
 
3.8%
129.0299601 1
 
3.8%
129.0387566 1
 
3.8%
129.0085804 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
128.9899566 1
3.8%
128.9904614 2
7.7%
128.9905029 1
3.8%
128.9949898 1
3.8%
128.9994609 1
3.8%
129.0018995 1
3.8%
129.0042157 1
3.8%
129.0084796 1
3.8%
129.0085804 1
3.8%
129.0100914 1
3.8%
ValueCountFrequency (%)
129.0387566 1
3.8%
129.0299601 1
3.8%
129.0288412 1
3.8%
129.0287016 1
3.8%
129.0264422 1
3.8%
129.0181821 1
3.8%
129.017021 1
3.8%
129.0168669 1
3.8%
129.0151749 1
3.8%
129.0147743 1
3.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.220304
Minimum35.195383
Maximum35.267252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T00:06:23.859968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.195383
5-th percentile35.19652
Q135.206316
median35.210584
Q335.2352
95-th percentile35.263082
Maximum35.267252
Range0.07186928
Interquartile range (IQR)0.02888388

Descriptive statistics

Standard deviation0.021804003
Coefficient of variation (CV)0.00061907481
Kurtosis-0.40152779
Mean35.220304
Median Absolute Deviation (MAD)0.01391426
Skewness0.75068958
Sum915.72791
Variance0.00047541455
MonotonicityNot monotonic
2023-12-13T00:06:23.988667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.19666936 2
 
7.7%
35.23519987 2
 
7.7%
35.20793267 1
 
3.8%
35.21114307 1
 
3.8%
35.25751873 1
 
3.8%
35.23199011 1
 
3.8%
35.19791216 1
 
3.8%
35.2140066 1
 
3.8%
35.20788304 1
 
3.8%
35.22417424 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
35.19538274 1
3.8%
35.19647071 1
3.8%
35.19666936 2
7.7%
35.19670053 1
3.8%
35.19791216 1
3.8%
35.206105 1
3.8%
35.20694896 1
3.8%
35.20788304 1
3.8%
35.20793267 1
3.8%
35.20890526 1
3.8%
ValueCountFrequency (%)
35.26725202 1
3.8%
35.26493624 1
3.8%
35.25751873 1
3.8%
35.24137131 1
3.8%
35.23679634 1
3.8%
35.23670188 1
3.8%
35.23519987 2
7.7%
35.23439845 1
3.8%
35.23199011 1
3.8%
35.22417424 1
3.8%

Interactions

2023-12-13T00:06:20.034192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:19.762526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:20.161214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:06:19.899205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:06:24.083759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고연월일성명사무소명칭도로명주소위도경도
신고연월일1.0001.0001.0000.9620.8480.921
성명1.0001.0001.0001.0001.0001.000
사무소명칭1.0001.0001.0001.0001.0001.000
도로명주소0.9621.0001.0001.0001.0001.000
위도0.8481.0001.0001.0001.0000.663
경도0.9211.0001.0001.0000.6631.000
2023-12-13T00:06:24.220567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.504
경도0.5041.000

Missing values

2023-12-13T00:06:20.334244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:06:20.529469image/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

신고연월일행정사종류성명사무소명칭도로명주소영업여부구군명데이터기준일자위도경도
01999-04-19일반행정사김재섭행정사 김재섭 사무소부산광역시 북구 사상로 587 (구포동)영업중부산광역시 북구2022-11-14128.99046135.196669
12005-07-19일반행정사김규식행정사 김규식 사무소부산광역시 북구 시랑로 183， 1동 402호 (구포동， 백양아파트)영업중부산광역시 북구2022-11-14129.01517535.195383
22005-11-15일반행정사김옥래월드행정사부산광역시 북구 금곡대로324번길 45， 12동 105호 (화명동， 우신아파트)영업중부산광역시 북구2022-11-14129.01686735.236796
32007-01-09일반행정사김순석수정 행정사 사무소부산광역시 북구 덕천로234번길 48， 1-1호 (만덕동， 그린코아상가)영업중부산광역시 북구2022-11-14129.02884135.208905
42007-10-12일반행정사강인길강인길 행정사 사무소부산광역시 북구 금곡대로 370 (화명동)영업중부산광역시 북구2022-11-14129.01413335.241371
52008-05-08일반행정사황도명법리행정사사무소부산광역시 북구 낙동대로1570번길 32， 4층 (구포동)영업중부산광역시 북구2022-11-14128.98995735.196701
62011-06-24일반행정사이성우이성우 행정사 사무소부산광역시 북구 가람로52번길 8-3 (구포동)영업중부산광역시 북구2022-11-14128.99946135.206105
72012-12-06일반행정사김장섭행정사 김장섭 사무소부산광역시 북구 사상로 585 (구포동)영업중부산광역시 북구2022-11-14128.99050335.196471
82012-12-10일반행정사곽태영행정사 곽태영 사무소부산광역시 북구 사상로 587 (구포동)영업중부산광역시 북구2022-11-14128.99046135.196669
92012-12-24일반행정사박종원행정사 박종원 사무소부산광역시 북구 금곡대로 318 (화명동)영업중부산광역시 북구2022-11-14129.01416335.236702
신고연월일행정사종류성명사무소명칭도로명주소영업여부구군명데이터기준일자위도경도
162017-04-18일반행정사조희정행정사 조희정 사무소부산광역시 북구 덕천로234번길 24， 럭키아파트 상가동 208호 (만덕동)영업중부산광역시 북구2022-11-14129.02870235.210024
172017-06-07일반행정사이상훈THE세종 행정사사무소부산광역시 북구 학사로 8， 크리스탈타워 112호 (화명동)영업중부산광역시 북구2022-11-14129.0085835.224174
182020-12-08일반행정사이용우부민행정사사무소부산광역시 북구 은행나무로23번길 21 (만덕동)영업중부산광역시 북구2022-11-14129.03875735.207883
192021-08-09일반행정사박영식행정사 BS 사무소부산광역시 북구 화명대로 31， 305호(화명동)영업중부산광역시 북구2022-11-14129.01161735.2352
202021-10-21일반행정사박봉철나래행정사사무소부산광역시 북구 만덕1로 69， 1층(만덕동)영업중부산광역시 북구2022-11-14129.0299635.214007
212022-03-14일반행정사백성훈백성훈 행정사사무소부산광역시 북구 백양대로 1025， 108호(구포동， 협진태양아파트)영업중부산광역시 북구2022-11-14128.9949935.197912
222022-03-14일반행정사장지무행정사 장지무 사무소부산광역시 북구 용당로16번길 1， 2층(화명동)영업중부산광역시 북구2022-11-14129.0084835.23199
232022-04-12일반행정사정민영에이드 행정사 사무소부산광역시 북구 효열로 134， 807동 606호(금곡동， 금곡8단지주공아파트)영업중부산광역시 북구2022-11-14129.01477435.257519
242022-06-24일반행정사황주석으뜸 행정사부산광역시 북구 덕천로 201-1(만덕동)영업중부산광역시 북구2022-11-14129.02644235.211143
252022-06-29일반행정사이문희길벗 행정사사무소부산광역시 북구 낙동대로1762번가길 23， 1층 (구포동)영업중부산광역시 북구2022-11-14129.001935.207933