Overview

Dataset statistics

Number of variables5
Number of observations199
Missing cells79
Missing cells (%)7.9%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory7.9 KiB
Average record size in memory40.7 B

Variable types

Text4
Categorical1

Dataset

Description서울특별시 종로구 관내 행정사업소 현황(사업장명, 전화번호, 지번주소, 도로명주소 등)에 대한 데이터를 제공합니다.
Author서울특별시 종로구
URLhttps://www.data.go.kr/data/15075938/fileData.do

Alerts

Dataset has 1 (0.5%) duplicate rowsDuplicates
전화번호 has 67 (33.7%) missing valuesMissing
도로명주소 has 12 (6.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:20:57.956730
Analysis finished2023-12-12 07:20:58.645047
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct195
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:20:58.875754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.3919598
Min length3

Characters and Unicode

Total characters1869
Distinct characters247
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)96.0%

Sample

1st row번역행정사 나순식사무소
2nd row김익준 일반행정사
3rd row동방국제 행정사사무소
4th row박승평행정사
5th row행정사유명한사무소
ValueCountFrequency (%)
행정사사무소 62
 
17.5%
행정사 36
 
10.2%
사무소 30
 
8.5%
행정사합동사무소 4
 
1.1%
태평양 3
 
0.8%
삼성 3
 
0.8%
외국어번역 3
 
0.8%
광화문국제 2
 
0.6%
합동사무소 2
 
0.6%
한솔 2
 
0.6%
Other values (200) 207
58.5%
2023-12-12T16:20:59.689908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 333
17.8%
정 198
 
10.6%
행 193
 
10.3%
156
 
8.3%
무 152
 
8.1%
소 150
 
8.0%
이 20
 
1.1%
동 17
 
0.9%
국 16
 
0.9%
김 16
 
0.9%
Other values (237) 618
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1655
88.6%
Space Separator 156
 
8.3%
Uppercase Letter 27
 
1.4%
Lowercase Letter 11
 
0.6%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Decimal Number 6
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 333
20.1%
정 198
 
12.0%
행 193
 
11.7%
무 152
 
9.2%
소 150
 
9.1%
이 20
 
1.2%
동 17
 
1.0%
국 16
 
1.0%
김 16
 
1.0%
로 12
 
0.7%
Other values (203) 548
33.1%
Uppercase Letter
ValueCountFrequency (%)
J 4
14.8%
A 3
11.1%
P 3
11.1%
M 3
11.1%
N 2
 
7.4%
Y 2
 
7.4%
R 2
 
7.4%
C 1
 
3.7%
E 1
 
3.7%
K 1
 
3.7%
Other values (5) 5
18.5%
Lowercase Letter
ValueCountFrequency (%)
t 2
18.2%
o 1
9.1%
h 1
9.1%
i 1
9.1%
w 1
9.1%
r 1
9.1%
a 1
9.1%
s 1
9.1%
e 1
9.1%
k 1
9.1%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
3 2
33.3%
2 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1654
88.5%
Common 176
 
9.4%
Latin 38
 
2.0%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 333
20.1%
정 198
 
12.0%
행 193
 
11.7%
무 152
 
9.2%
소 150
 
9.1%
이 20
 
1.2%
동 17
 
1.0%
국 16
 
1.0%
김 16
 
1.0%
로 12
 
0.7%
Other values (202) 547
33.1%
Latin
ValueCountFrequency (%)
J 4
 
10.5%
A 3
 
7.9%
P 3
 
7.9%
M 3
 
7.9%
t 2
 
5.3%
N 2
 
5.3%
Y 2
 
5.3%
R 2
 
5.3%
o 1
 
2.6%
C 1
 
2.6%
Other values (15) 15
39.5%
Common
ValueCountFrequency (%)
156
88.6%
( 6
 
3.4%
) 6
 
3.4%
5 2
 
1.1%
3 2
 
1.1%
2 1
 
0.6%
1 1
 
0.6%
· 1
 
0.6%
& 1
 
0.6%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1654
88.5%
ASCII 213
 
11.4%
CJK 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 333
20.1%
정 198
 
12.0%
행 193
 
11.7%
무 152
 
9.2%
소 150
 
9.1%
이 20
 
1.2%
동 17
 
1.0%
국 16
 
1.0%
김 16
 
1.0%
로 12
 
0.7%
Other values (202) 547
33.1%
ASCII
ValueCountFrequency (%)
156
73.2%
( 6
 
2.8%
) 6
 
2.8%
J 4
 
1.9%
A 3
 
1.4%
P 3
 
1.4%
M 3
 
1.4%
t 2
 
0.9%
N 2
 
0.9%
Y 2
 
0.9%
Other values (23) 26
 
12.2%
CJK
ValueCountFrequency (%)
多 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct116
Distinct (%)87.9%
Missing67
Missing (%)33.7%
Memory size1.7 KiB
2023-12-12T16:21:00.000525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.219697
Min length11

Characters and Unicode

Total characters1481
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

Unique106 ?
Unique (%)80.3%

Sample

1st row02-725-0361
2nd row02-722-7552
3rd row02-722 5948
4th row02-734-6217
5th row02-735-3222
ValueCountFrequency (%)
02-730-0051 8
 
6.0%
02-2762-2580 2
 
1.5%
02-730-5581 2
 
1.5%
02-733-2862 2
 
1.5%
02-739-5993 2
 
1.5%
02-762-6611 2
 
1.5%
02-732-4040 2
 
1.5%
02-2254-1588 2
 
1.5%
02-835-6587 2
 
1.5%
02-763-3667 2
 
1.5%
Other values (107) 107
80.5%
2023-12-12T16:21:00.509786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 263
17.8%
2 255
17.2%
0 231
15.6%
7 158
10.7%
3 133
9.0%
5 88
 
5.9%
1 84
 
5.7%
6 75
 
5.1%
4 69
 
4.7%
9 64
 
4.3%
Other values (2) 61
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1217
82.2%
Dash Punctuation 263
 
17.8%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 255
21.0%
0 231
19.0%
7 158
13.0%
3 133
10.9%
5 88
 
7.2%
1 84
 
6.9%
6 75
 
6.2%
4 69
 
5.7%
9 64
 
5.3%
8 60
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 263
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1481
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 263
17.8%
2 255
17.2%
0 231
15.6%
7 158
10.7%
3 133
9.0%
5 88
 
5.9%
1 84
 
5.7%
6 75
 
5.1%
4 69
 
4.7%
9 64
 
4.3%
Other values (2) 61
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 263
17.8%
2 255
17.2%
0 231
15.6%
7 158
10.7%
3 133
9.0%
5 88
 
5.9%
1 84
 
5.7%
6 75
 
5.1%
4 69
 
4.7%
9 64
 
4.3%
Other values (2) 61
 
4.1%

지번주소
Text

Distinct173
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:21:00.913908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length26.532663
Min length13

Characters and Unicode

Total characters5280
Distinct characters183
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

Unique155 ?
Unique (%)77.9%

Sample

1st row서울특별시 종로구 청진동 215번지 2층
2nd row서울특별시 종로구 낙원동 58번지 1호 종로오피스텔 413호
3rd row서울특별시 종로구 종로2가 8번지 4호
4th row서울특별시 종로구 수송동 130번지
5th row서울특별시 종로구 경운동 101번지 5호
ValueCountFrequency (%)
서울특별시 199
 
17.5%
종로구 196
 
17.3%
1호 41
 
3.6%
청진동 29
 
2.6%
창신동 12
 
1.1%
신문로1가 11
 
1.0%
숭인동 11
 
1.0%
2호 10
 
0.9%
4호 10
 
0.9%
수송동 10
 
0.9%
Other values (329) 607
53.4%
2023-12-12T16:21:01.485672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
941
 
17.8%
1 264
 
5.0%
로 249
 
4.7%
종 228
 
4.3%
서 204
 
3.9%
시 203
 
3.8%
울 202
 
3.8%
구 199
 
3.8%
별 199
 
3.8%
특 199
 
3.8%
Other values (173) 2392
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3328
63.0%
Decimal Number 965
 
18.3%
Space Separator 941
 
17.8%
Uppercase Letter 23
 
0.4%
Lowercase Letter 12
 
0.2%
Dash Punctuation 7
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 249
 
7.5%
종 228
 
6.9%
서 204
 
6.1%
시 203
 
6.1%
울 202
 
6.1%
구 199
 
6.0%
별 199
 
6.0%
특 199
 
6.0%
지 196
 
5.9%
동 190
 
5.7%
Other values (147) 1259
37.8%
Decimal Number
ValueCountFrequency (%)
1 264
27.4%
2 147
15.2%
0 118
12.2%
3 89
 
9.2%
4 79
 
8.2%
5 71
 
7.4%
7 62
 
6.4%
8 58
 
6.0%
6 42
 
4.4%
9 35
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
r 3
25.0%
o 2
16.7%
w 2
16.7%
e 2
16.7%
s 1
 
8.3%
i 1
 
8.3%
a 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
43.5%
S 5
21.7%
K 4
 
17.4%
T 3
 
13.0%
A 1
 
4.3%
Space Separator
ValueCountFrequency (%)
941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3328
63.0%
Common 1917
36.3%
Latin 35
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 249
 
7.5%
종 228
 
6.9%
서 204
 
6.1%
시 203
 
6.1%
울 202
 
6.1%
구 199
 
6.0%
별 199
 
6.0%
특 199
 
6.0%
지 196
 
5.9%
동 190
 
5.7%
Other values (147) 1259
37.8%
Common
ValueCountFrequency (%)
941
49.1%
1 264
 
13.8%
2 147
 
7.7%
0 118
 
6.2%
3 89
 
4.6%
4 79
 
4.1%
5 71
 
3.7%
7 62
 
3.2%
8 58
 
3.0%
6 42
 
2.2%
Other values (4) 46
 
2.4%
Latin
ValueCountFrequency (%)
B 10
28.6%
S 5
14.3%
K 4
 
11.4%
T 3
 
8.6%
r 3
 
8.6%
o 2
 
5.7%
w 2
 
5.7%
e 2
 
5.7%
s 1
 
2.9%
i 1
 
2.9%
Other values (2) 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3328
63.0%
ASCII 1952
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
941
48.2%
1 264
 
13.5%
2 147
 
7.5%
0 118
 
6.0%
3 89
 
4.6%
4 79
 
4.0%
5 71
 
3.6%
7 62
 
3.2%
8 58
 
3.0%
6 42
 
2.2%
Other values (16) 81
 
4.1%
Hangul
ValueCountFrequency (%)
로 249
 
7.5%
종 228
 
6.9%
서 204
 
6.1%
시 203
 
6.1%
울 202
 
6.1%
구 199
 
6.0%
별 199
 
6.0%
특 199
 
6.0%
지 196
 
5.9%
동 190
 
5.7%
Other values (147) 1259
37.8%

도로명주소
Text

MISSING 

Distinct172
Distinct (%)92.0%
Missing12
Missing (%)6.0%
Memory size1.7 KiB
2023-12-12T16:21:01.902028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length30.433155
Min length15

Characters and Unicode

Total characters5691
Distinct characters195
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)85.6%

Sample

1st row서울특별시 종로구 삼봉로 44(청진동)
2nd row서울특별시 종로구 삼일대로30길 21(낙원동, 종로오피스텔)
3rd row서울특별시 종로구 종로 65 2층 207호 (종로2가)
4th row서울특별시 종로구 종로5길 97(수송동)
5th row서울특별시 종로구 지봉로 89(창신동)
ValueCountFrequency (%)
서울특별시 187
 
16.7%
종로구 187
 
16.7%
종로 28
 
2.5%
삼봉로 23
 
2.1%
청진동 19
 
1.7%
새문안로3길 10
 
0.9%
종로3길 10
 
0.9%
38 9
 
0.8%
3층 8
 
0.7%
19 8
 
0.7%
Other values (372) 632
56.4%
2023-12-12T16:21:02.506197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
940
 
16.5%
로 403
 
7.1%
종 270
 
4.7%
1 227
 
4.0%
서 193
 
3.4%
시 191
 
3.4%
울 190
 
3.3%
특 187
 
3.3%
별 187
 
3.3%
구 187
 
3.3%
Other values (185) 2716
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3373
59.3%
Decimal Number 957
 
16.8%
Space Separator 940
 
16.5%
Open Punctuation 185
 
3.3%
Close Punctuation 183
 
3.2%
Dash Punctuation 18
 
0.3%
Uppercase Letter 17
 
0.3%
Lowercase Letter 12
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 403
 
11.9%
종 270
 
8.0%
서 193
 
5.7%
시 191
 
5.7%
울 190
 
5.6%
특 187
 
5.5%
별 187
 
5.5%
구 187
 
5.5%
동 175
 
5.2%
호 109
 
3.2%
Other values (157) 1281
38.0%
Decimal Number
ValueCountFrequency (%)
1 227
23.7%
3 148
15.5%
0 127
13.3%
2 117
12.2%
4 71
 
7.4%
5 65
 
6.8%
7 54
 
5.6%
9 50
 
5.2%
8 49
 
5.1%
6 49
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
r 3
25.0%
e 2
16.7%
w 2
16.7%
o 2
16.7%
i 1
 
8.3%
s 1
 
8.3%
a 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
58.8%
T 3
 
17.6%
S 1
 
5.9%
I 1
 
5.9%
C 1
 
5.9%
A 1
 
5.9%
Space Separator
ValueCountFrequency (%)
940
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3373
59.3%
Common 2289
40.2%
Latin 29
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 403
 
11.9%
종 270
 
8.0%
서 193
 
5.7%
시 191
 
5.7%
울 190
 
5.6%
특 187
 
5.5%
별 187
 
5.5%
구 187
 
5.5%
동 175
 
5.2%
호 109
 
3.2%
Other values (157) 1281
38.0%
Common
ValueCountFrequency (%)
940
41.1%
1 227
 
9.9%
( 185
 
8.1%
) 183
 
8.0%
3 148
 
6.5%
0 127
 
5.5%
2 117
 
5.1%
4 71
 
3.1%
5 65
 
2.8%
7 54
 
2.4%
Other values (5) 172
 
7.5%
Latin
ValueCountFrequency (%)
B 10
34.5%
r 3
 
10.3%
T 3
 
10.3%
e 2
 
6.9%
w 2
 
6.9%
o 2
 
6.9%
i 1
 
3.4%
s 1
 
3.4%
a 1
 
3.4%
S 1
 
3.4%
Other values (3) 3
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3373
59.3%
ASCII 2318
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
940
40.6%
1 227
 
9.8%
( 185
 
8.0%
) 183
 
7.9%
3 148
 
6.4%
0 127
 
5.5%
2 117
 
5.0%
4 71
 
3.1%
5 65
 
2.8%
7 54
 
2.3%
Other values (18) 201
 
8.7%
Hangul
ValueCountFrequency (%)
로 403
 
11.9%
종 270
 
8.0%
서 193
 
5.7%
시 191
 
5.7%
울 190
 
5.6%
특 187
 
5.5%
별 187
 
5.5%
구 187
 
5.5%
동 175
 
5.2%
호 109
 
3.2%
Other values (157) 1281
38.0%

민원종류명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
일반행정사
146 
외국어번역행정사
53 

Length

Max length8
Median length5
Mean length5.798995
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정사 146
73.4%
외국어번역행정사 53
 
26.6%

Length

2023-12-12T16:21:02.649148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:21:02.782781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정사 146
73.4%
외국어번역행정사 53
 
26.6%

Missing values

2023-12-12T16:20:58.382766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:20:58.486524image/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.
2023-12-12T16:20:58.585325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업장명전화번호지번주소도로명주소민원종류명
0번역행정사 나순식사무소02-725-0361서울특별시 종로구 청진동 215번지 2층서울특별시 종로구 삼봉로 44(청진동)일반행정사
1김익준 일반행정사02-722-7552서울특별시 종로구 낙원동 58번지 1호 종로오피스텔 413호서울특별시 종로구 삼일대로30길 21(낙원동, 종로오피스텔)일반행정사
2동방국제 행정사사무소02-722 5948서울특별시 종로구 종로2가 8번지 4호서울특별시 종로구 종로 65 2층 207호 (종로2가)일반행정사
3박승평행정사02-734-6217서울특별시 종로구 수송동 130번지서울특별시 종로구 종로5길 97(수송동)일반행정사
4행정사유명한사무소02-735-3222서울특별시 종로구 경운동 101번지 5호서울특별시 종로구 지봉로 89(창신동)일반행정사
5권용묵행정사02-763-6405서울특별시 종로구 창신동 17번지 42호서울특별시 종로구 지봉로 29(창신동)일반행정사
6이계섭행정사02-492-6762서울특별시 종로구 창신동 327번지 2호<NA>일반행정사
7백낙신행정사02-732-4040서울특별시 종로구 무악동 63번지 10호서울특별시 종로구 통일로16길 5(무악동)외국어번역행정사
8김덕균행정사02-736-6929서울특별시 종로구 수송동 80번지서울특별시 종로구 종로5길 68(수송동)외국어번역행정사
9김장현행정사02-279-3841서울특별시 종로구 종로6가 319번지 1호서울특별시 종로구 종로40길 23(종로6가)외국어번역행정사
사업장명전화번호지번주소도로명주소민원종류명
189김홍선 행정사 사무소<NA>서울특별시 종로구 수송동 58번지 두산위브파빌리온서울특별시 종로구 삼봉로 81 두산위브파빌리온 1314호 (수송동)일반행정사
190금문 행정사사무소02-6673-8500서울특별시 종로구 원남동 103번지 성균관대학교 글로벌센터 201호서울특별시 종로구 율곡로 171 성균관대학교 글로벌센터 201호 (원남동)일반행정사
191ok 행정사사무소<NA>서울특별시 종로구 숭인동 313번지 7호 202호서울특별시 종로구 지봉로 28 202호 (숭인동)일반행정사
192광화문국제 행정사사무소02-734-3012서울특별시 종로구 신문로1가 163번지 광화문오피시아 1329호서울특별시 종로구 새문안로 92 광화문오피시아 1329호 (신문로1가)일반행정사
193이재홍 행정사사무소02-734-1297서울특별시 종로구 명륜4가 74번지 1호서울특별시 종로구 대학로11길 38-6 (명륜4가)일반행정사
194선율 행정사사무소02-1899-2887서울특별시 종로구 종로1가 24번지 르메이에르종로타운 A동 1327호서울특별시 종로구 종로 19 르메이에르종로타운 A동 1327호 (종로1가)일반행정사
195삼성 행정사합동사무소02-730-5581서울특별시 종로구 청진동 201번지 1호 진학회관 201호서울특별시 종로구 종로3길 38 진학회관 201호 (청진동)일반행정사
196민원25 행정사사무소02-2269-3357서울특별시 종로구 종로5가 231번지 10호 201호서울특별시 종로구 종로 236 201호 (종로5가)일반행정사
197경제규제행정컨설팅(ERAC) 행정사사무소<NA>서울특별시 종로구 세종로 211번지 광화문빌딩 15층서울특별시 종로구 세종대로 149 광화문빌딩 15층 (세종로)일반행정사
198삼성 행정사 정희조 번역 행정사사무소02-730-5581서울특별시 종로구 청진동 201번지 1호 진학회관 201호서울특별시 종로구 종로3길 38진학회관 201호 (청진동)일반행정사

Duplicate rows

Most frequently occurring

사업장명전화번호지번주소도로명주소민원종류명# duplicates
0김진석 행정사사무소<NA>서울특별시 종로구 공평동 100번지 한국스탠다드차타드은행 빌딩서울특별시 종로구 종로 47 한국스탠다드차타드은행 빌딩 2053-17호 (공평동)일반행정사2