Overview

Dataset statistics

Number of variables3
Number of observations210
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory24.6 B

Variable types

Text2
DateTime1

Dataset

Description강남구 소재하고 있는 행정사사무소 등록 현황 정보(시군구명, 사무소명, 도로명 주소, 데이터기준일자 정보) 입니다.
Author서울특별시 강남구
URLhttps://www.data.go.kr/data/15029441/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사무소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:48:06.782513
Analysis finished2023-12-12 11:48:07.208207
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사무소명
Text

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:48:07.428786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length10.090476
Min length2

Characters and Unicode

Total characters2119
Distinct characters260
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)100.0%

Sample

1st row(주)한중문화교육교류원
2nd row21세기 민법 행정사사무소
3rd rowA+(에이플러스)행정사사무소
4th rowAP 행정사사무소
5th rowE&S 행정사 사무소
ValueCountFrequency (%)
사무소 79
 
18.6%
행정사 72
 
17.0%
행정사사무소 37
 
8.7%
tfcb 2
 
0.5%
강남행정사 2
 
0.5%
주)한중문화교육교류원 1
 
0.2%
전용철 1
 
0.2%
장준영 1
 
0.2%
잡인코리아→주식회사잡플러스 1
 
0.2%
자스(jas)행정사사무소 1
 
0.2%
Other values (227) 227
53.5%
2023-12-12T20:48:07.942368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 378
17.8%
정 218
 
10.3%
214
 
10.1%
행 202
 
9.5%
무 189
 
8.9%
소 185
 
8.7%
동 18
 
0.8%
김 17
 
0.8%
한 15
 
0.7%
박 13
 
0.6%
Other values (250) 670
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1832
86.5%
Space Separator 214
 
10.1%
Uppercase Letter 32
 
1.5%
Lowercase Letter 13
 
0.6%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Other Punctuation 7
 
0.3%
Math Symbol 2
 
0.1%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 378
20.6%
정 218
 
11.9%
행 202
 
11.0%
무 189
 
10.3%
소 185
 
10.1%
동 18
 
1.0%
김 17
 
0.9%
한 15
 
0.8%
박 13
 
0.7%
이 13
 
0.7%
Other values (214) 584
31.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
15.6%
A 3
9.4%
T 3
9.4%
C 3
9.4%
B 2
 
6.2%
P 2
 
6.2%
F 2
 
6.2%
E 2
 
6.2%
J 2
 
6.2%
M 2
 
6.2%
Other values (6) 6
18.8%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
d 2
15.4%
k 2
15.4%
x 1
 
7.7%
w 1
 
7.7%
c 1
 
7.7%
n 1
 
7.7%
f 1
 
7.7%
r 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 3
42.9%
. 3
42.9%
/ 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
→ 1
50.0%
+ 1
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1832
86.5%
Common 242
 
11.4%
Latin 45
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 378
20.6%
정 218
 
11.9%
행 202
 
11.0%
무 189
 
10.3%
소 185
 
10.1%
동 18
 
1.0%
김 17
 
0.9%
한 15
 
0.8%
박 13
 
0.7%
이 13
 
0.7%
Other values (214) 584
31.9%
Latin
ValueCountFrequency (%)
S 5
 
11.1%
a 3
 
6.7%
A 3
 
6.7%
T 3
 
6.7%
C 3
 
6.7%
B 2
 
4.4%
P 2
 
4.4%
F 2
 
4.4%
E 2
 
4.4%
J 2
 
4.4%
Other values (15) 18
40.0%
Common
ValueCountFrequency (%)
214
88.4%
( 8
 
3.3%
) 8
 
3.3%
& 3
 
1.2%
. 3
 
1.2%
→ 1
 
0.4%
- 1
 
0.4%
1 1
 
0.4%
2 1
 
0.4%
/ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1832
86.5%
ASCII 286
 
13.5%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 378
20.6%
정 218
 
11.9%
행 202
 
11.0%
무 189
 
10.3%
소 185
 
10.1%
동 18
 
1.0%
김 17
 
0.9%
한 15
 
0.8%
박 13
 
0.7%
이 13
 
0.7%
Other values (214) 584
31.9%
ASCII
ValueCountFrequency (%)
214
74.8%
( 8
 
2.8%
) 8
 
2.8%
S 5
 
1.7%
a 3
 
1.0%
& 3
 
1.0%
A 3
 
1.0%
T 3
 
1.0%
C 3
 
1.0%
. 3
 
1.0%
Other values (25) 33
 
11.5%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

주소
Text

Distinct204
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:48:08.255929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length34.757143
Min length24

Characters and Unicode

Total characters7299
Distinct characters188
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

Unique198 ?
Unique (%)94.3%

Sample

1st row서울특별시 강남구 도산대로8길 17, 3층 (논현동)
2nd row서울특별시 강남구 역삼로19길 35-0, 202호 (역삼동, 역삼빌라)
3rd row서울특별시 강남구 밤고개로21길 25, 306동 804호 (자곡동, 래미안포레)
4th row서울특별시 강남구 광평로51길 22, 102동 1406호 (수서동, 한아름아파트)
5th row서울특별시 강남구 강남대로 502, 서희빌딩 8층 (논현동)
ValueCountFrequency (%)
서울특별시 210
 
14.9%
강남구 210
 
14.9%
역삼동 70
 
5.0%
대치동 31
 
2.2%
논현동 31
 
2.2%
테헤란로 27
 
1.9%
삼성동 21
 
1.5%
도곡동 14
 
1.0%
개포동 12
 
0.9%
언주로 11
 
0.8%
Other values (489) 768
54.7%
2023-12-12T20:48:08.971715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1195
 
16.4%
1 301
 
4.1%
동 258
 
3.5%
, 255
 
3.5%
남 240
 
3.3%
강 236
 
3.2%
서 224
 
3.1%
구 216
 
3.0%
시 213
 
2.9%
0 212
 
2.9%
Other values (178) 3949
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3994
54.7%
Decimal Number 1380
 
18.9%
Space Separator 1195
 
16.4%
Other Punctuation 255
 
3.5%
Open Punctuation 208
 
2.8%
Close Punctuation 208
 
2.8%
Dash Punctuation 49
 
0.7%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 258
 
6.5%
남 240
 
6.0%
강 236
 
5.9%
서 224
 
5.6%
구 216
 
5.4%
시 213
 
5.3%
특 210
 
5.3%
울 210
 
5.3%
로 210
 
5.3%
별 210
 
5.3%
Other values (159) 1767
44.2%
Decimal Number
ValueCountFrequency (%)
1 301
21.8%
0 212
15.4%
2 200
14.5%
3 139
10.1%
4 125
9.1%
5 119
 
8.6%
6 83
 
6.0%
7 77
 
5.6%
8 71
 
5.1%
9 53
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
A 3
30.0%
G 2
20.0%
L 2
20.0%
Space Separator
ValueCountFrequency (%)
1195
100.0%
Other Punctuation
ValueCountFrequency (%)
, 255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3994
54.7%
Common 3295
45.1%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 258
 
6.5%
남 240
 
6.0%
강 236
 
5.9%
서 224
 
5.6%
구 216
 
5.4%
시 213
 
5.3%
특 210
 
5.3%
울 210
 
5.3%
로 210
 
5.3%
별 210
 
5.3%
Other values (159) 1767
44.2%
Common
ValueCountFrequency (%)
1195
36.3%
1 301
 
9.1%
, 255
 
7.7%
0 212
 
6.4%
( 208
 
6.3%
) 208
 
6.3%
2 200
 
6.1%
3 139
 
4.2%
4 125
 
3.8%
5 119
 
3.6%
Other values (5) 333
 
10.1%
Latin
ValueCountFrequency (%)
B 3
30.0%
A 3
30.0%
G 2
20.0%
L 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3994
54.7%
ASCII 3305
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1195
36.2%
1 301
 
9.1%
, 255
 
7.7%
0 212
 
6.4%
( 208
 
6.3%
) 208
 
6.3%
2 200
 
6.1%
3 139
 
4.2%
4 125
 
3.8%
5 119
 
3.6%
Other values (9) 343
 
10.4%
Hangul
ValueCountFrequency (%)
동 258
 
6.5%
남 240
 
6.0%
강 236
 
5.9%
서 224
 
5.6%
구 216
 
5.4%
시 213
 
5.3%
특 210
 
5.3%
울 210
 
5.3%
로 210
 
5.3%
별 210
 
5.3%
Other values (159) 1767
44.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2022-10-07 00:00:00
Maximum2022-10-07 00:00:00
2023-12-12T20:48:09.100290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:48:09.186982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T20:48:07.093249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:48:07.175468image/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

사무소명주소데이터기준일자
0(주)한중문화교육교류원서울특별시 강남구 도산대로8길 17, 3층 (논현동)2022-10-07
121세기 민법 행정사사무소서울특별시 강남구 역삼로19길 35-0, 202호 (역삼동, 역삼빌라)2022-10-07
2A+(에이플러스)행정사사무소서울특별시 강남구 밤고개로21길 25, 306동 804호 (자곡동, 래미안포레)2022-10-07
3AP 행정사사무소서울특별시 강남구 광평로51길 22, 102동 1406호 (수서동, 한아름아파트)2022-10-07
4E&S 행정사 사무소서울특별시 강남구 강남대로 502, 서희빌딩 8층 (논현동)2022-10-07
5E.M 행정사 사무소서울특별시 강남구 언주로 647, 424호 (논현동, 강남빌딩)2022-10-07
6Ifn행정사사무소서울특별시 강남구 테헤란로 310, 두꺼비빌딩 5층 502호 (역삼동)2022-10-07
7kd c&d 행정사사무소서울특별시 강남구 광평로56길 8-13, 1807호 (수서동, 수서타워)2022-10-07
8M&C 행정사사무소서울특별시 강남구 테헤란로25길 20, 역삼현대벤쳐텔 1층 109호 (역삼동)2022-10-07
9OK 행정사 사무소서울특별시 강남구 역삼로 459-6, B동 401호 (대치동, 포스코빌라)2022-10-07
사무소명주소데이터기준일자
200행정사천정필사무소서울특별시 강남구 봉은사로4길 1, 201호 (역삼동)2022-10-07
201행정사합동사무소 광장서울특별시 강남구 테헤란로82길 15, 디아이타워 245호 (대치동)2022-10-07
202행정사합동사무소하나서울특별시 강남구 언주로86길 11, 405호 (역삼동, 한화 진넥스빌)2022-10-07
203행정심판닷컴서울특별시 강남구 테헤란로83길 51 (삼성동)2022-10-07
204행정심판미래행정사사무소서울특별시 강남구 테헤란로 151-0, 1612호 (역삼동, 역삼하이츠빌딩)2022-10-07
205허정권행정사사무소서울특별시 강남구 언주로134길 12, 201호 (논현동)2022-10-07
206형제서울특별시 강남구 삼성로 14, 203호 (개포동)2022-10-07
207홍광표 행정사 사무소서울특별시 강남구 개포로140길 24 (일원동)2022-10-07
208화성행정사서울특별시 강남구 선릉로 522, 401호 (삼성동)2022-10-07
209황귀연 행정사 사무소서울특별시 강남구 강남대로118길 38 (논현동)2022-10-07