Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells6
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory67.3 B

Variable types

Text6
Categorical2

Dataset

Description서울특별시 종로구 관내의 사회적 기업 현황에 대한 데이터로 기관명, 사회서비스분야, 전화번호, 소재 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15008777/fileData.do

Alerts

연락처 has 6 (15.0%) missing valuesMissing
기업명 has unique valuesUnique
주소 has unique valuesUnique
인증_지정일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:38:52.849995
Analysis finished2023-12-12 21:38:53.662254
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T06:38:53.818640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length9.75
Min length4

Characters and Unicode

Total characters390
Distinct characters160
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row주식회사물나무에듀(MulnamooeduCo.,Ltd.)
2nd row주식회사다인에스
3rd row들다방 주식회사
4th row(주)나인벨류
5th row㈜헤리티지프로젝트
ValueCountFrequency (%)
주식회사 3
 
6.4%
주식회사물나무에듀(mulnamooeduco.,ltd 1
 
2.1%
주식회사메이크슈어 1
 
2.1%
사단법인부암뮤직소사이어티 1
 
2.1%
주)참신나는옷 1
 
2.1%
주식회사터치포굿 1
 
2.1%
주)하이이지스 1
 
2.1%
풀빛문화연대 1
 
2.1%
주)아트브릿지 1
 
2.1%
주식회사엔비전스 1
 
2.1%
Other values (35) 35
74.5%
2023-12-13T06:38:54.231601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
6.2%
사 19
 
4.9%
( 18
 
4.6%
) 18
 
4.6%
회 16
 
4.1%
식 13
 
3.3%
인 10
 
2.6%
이 9
 
2.3%
7
 
1.8%
스 6
 
1.5%
Other values (150) 250
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
78.2%
Open Punctuation 18
 
4.6%
Close Punctuation 18
 
4.6%
Lowercase Letter 16
 
4.1%
Uppercase Letter 14
 
3.6%
Space Separator 7
 
1.8%
Other Punctuation 5
 
1.3%
Other Symbol 4
 
1.0%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
7.9%
사 19
 
6.2%
회 16
 
5.2%
식 13
 
4.3%
인 10
 
3.3%
이 9
 
3.0%
스 6
 
2.0%
협 6
 
2.0%
플 4
 
1.3%
법 4
 
1.3%
Other values (125) 194
63.6%
Lowercase Letter
ValueCountFrequency (%)
o 4
25.0%
d 3
18.8%
u 2
12.5%
t 2
12.5%
e 1
 
6.2%
m 1
 
6.2%
a 1
 
6.2%
n 1
 
6.2%
l 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
L 3
21.4%
S 2
14.3%
I 2
14.3%
N 1
 
7.1%
A 1
 
7.1%
M 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
0 1
33.3%
2 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
79.2%
Common 51
 
13.1%
Latin 30
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
7.8%
사 19
 
6.1%
회 16
 
5.2%
식 13
 
4.2%
인 10
 
3.2%
이 9
 
2.9%
스 6
 
1.9%
협 6
 
1.9%
플 4
 
1.3%
법 4
 
1.3%
Other values (126) 198
64.1%
Latin
ValueCountFrequency (%)
C 4
13.3%
o 4
13.3%
d 3
10.0%
L 3
10.0%
S 2
 
6.7%
u 2
 
6.7%
I 2
 
6.7%
t 2
 
6.7%
N 1
 
3.3%
A 1
 
3.3%
Other values (6) 6
20.0%
Common
ValueCountFrequency (%)
( 18
35.3%
) 18
35.3%
7
 
13.7%
. 3
 
5.9%
, 2
 
3.9%
7 1
 
2.0%
0 1
 
2.0%
2 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
78.2%
ASCII 81
 
20.8%
None 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
7.9%
사 19
 
6.2%
회 16
 
5.2%
식 13
 
4.3%
인 10
 
3.3%
이 9
 
3.0%
스 6
 
2.0%
협 6
 
2.0%
플 4
 
1.3%
법 4
 
1.3%
Other values (125) 194
63.6%
ASCII
ValueCountFrequency (%)
( 18
22.2%
) 18
22.2%
7
 
8.6%
C 4
 
4.9%
o 4
 
4.9%
d 3
 
3.7%
. 3
 
3.7%
L 3
 
3.7%
S 2
 
2.5%
u 2
 
2.5%
Other values (14) 17
21.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

인증여부
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
인증
30 
예비
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 30
75.0%
예비 10
 
25.0%

Length

2023-12-13T06:38:54.403018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:54.537607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 30
75.0%
예비 10
 
25.0%

대표자
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T06:38:54.791857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.275
Min length3

Characters and Unicode

Total characters131
Distinct characters64
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row김현식
2nd row조숙자
3rd row김유미
4th row정경미
5th row이지은
ValueCountFrequency (%)
김종준 2
 
4.8%
김현식 1
 
2.4%
문정열 1
 
2.4%
박미현 1
 
2.4%
이재형 1
 
2.4%
유영초 1
 
2.4%
신현길 1
 
2.4%
양정선 1
 
2.4%
송영희 1
 
2.4%
김은주 1
 
2.4%
Other values (31) 31
73.8%
2023-12-13T06:38:55.205141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
6.9%
정 9
 
6.9%
이 7
 
5.3%
영 6
 
4.6%
현 5
 
3.8%
지 5
 
3.8%
은 5
 
3.8%
희 4
 
3.1%
문 4
 
3.1%
미 4
 
3.1%
Other values (54) 73
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
96.2%
Space Separator 3
 
2.3%
Other Punctuation 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
7.1%
정 9
 
7.1%
이 7
 
5.6%
영 6
 
4.8%
현 5
 
4.0%
지 5
 
4.0%
은 5
 
4.0%
희 4
 
3.2%
문 4
 
3.2%
미 4
 
3.2%
Other values (52) 68
54.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
96.2%
Common 5
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
7.1%
정 9
 
7.1%
이 7
 
5.6%
영 6
 
4.8%
현 5
 
4.0%
지 5
 
4.0%
은 5
 
4.0%
희 4
 
3.2%
문 4
 
3.2%
미 4
 
3.2%
Other values (52) 68
54.0%
Common
ValueCountFrequency (%)
3
60.0%
, 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
96.2%
ASCII 5
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
7.1%
정 9
 
7.1%
이 7
 
5.6%
영 6
 
4.8%
현 5
 
4.0%
지 5
 
4.0%
은 5
 
4.0%
희 4
 
3.2%
문 4
 
3.2%
미 4
 
3.2%
Other values (52) 68
54.0%
ASCII
ValueCountFrequency (%)
3
60.0%
, 2
40.0%

사업내용(요약)
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T06:38:55.404618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length23
Mean length16.55
Min length5

Characters and Unicode

Total characters662
Distinct characters175
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row전통한지 사업, 사진관 운영
2nd row건축물 일반 청소업 및 건물 시설관리
3rd row커피, 의류, 상품 종합 도매업
4th row동대문 신발도매, 온라인B2B
5th row문화예술 관련 기획 서비스
ValueCountFrequency (%)
및 9
 
6.5%
기획 5
 
3.6%
등 5
 
3.6%
판매 3
 
2.2%
운영 3
 
2.2%
전시 3
 
2.2%
서비스 3
 
2.2%
제조 2
 
1.4%
제작 2
 
1.4%
실버영화관 2
 
1.4%
Other values (98) 101
73.2%
2023-12-13T06:38:55.809043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
14.8%
, 27
 
4.1%
업 17
 
2.6%
기 15
 
2.3%
관 13
 
2.0%
서 12
 
1.8%
스 12
 
1.8%
공 11
 
1.7%
교 11
 
1.7%
술 10
 
1.5%
Other values (165) 436
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 524
79.2%
Space Separator 98
 
14.8%
Other Punctuation 29
 
4.4%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Uppercase Letter 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 17
 
3.2%
기 15
 
2.9%
관 13
 
2.5%
서 12
 
2.3%
스 12
 
2.3%
공 11
 
2.1%
교 11
 
2.1%
술 10
 
1.9%
비 10
 
1.9%
및 9
 
1.7%
Other values (158) 404
77.1%
Other Punctuation
ValueCountFrequency (%)
, 27
93.1%
. 2
 
6.9%
Space Separator
ValueCountFrequency (%)
98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 524
79.2%
Common 136
 
20.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 17
 
3.2%
기 15
 
2.9%
관 13
 
2.5%
서 12
 
2.3%
스 12
 
2.3%
공 11
 
2.1%
교 11
 
2.1%
술 10
 
1.9%
비 10
 
1.9%
및 9
 
1.7%
Other values (158) 404
77.1%
Common
ValueCountFrequency (%)
98
72.1%
, 27
 
19.9%
( 4
 
2.9%
) 4
 
2.9%
. 2
 
1.5%
2 1
 
0.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 524
79.2%
ASCII 138
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
71.0%
, 27
 
19.6%
( 4
 
2.9%
) 4
 
2.9%
. 2
 
1.4%
B 2
 
1.4%
2 1
 
0.7%
Hangul
ValueCountFrequency (%)
업 17
 
3.2%
기 15
 
2.9%
관 13
 
2.5%
서 12
 
2.3%
스 12
 
2.3%
공 11
 
2.1%
교 11
 
2.1%
술 10
 
1.9%
비 10
 
1.9%
및 9
 
1.7%
Other values (158) 404
77.1%

업태
Categorical

Distinct16
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
서비스
19 
서비스업
4 
교육서비스업
2 
건설업
2 
제조 및 도소매
2 
Other values (11)
11 

Length

Max length24
Median length3
Mean length5.875
Min length2

Unique

Unique11 ?
Unique (%)27.5%

Sample

1st row서비스
2nd row사업지원 및 임대서비스업
3rd row보건업 및 사회서비스업
4th row서비스
5th row서비스

Common Values

ValueCountFrequency (%)
서비스 19
47.5%
서비스업 4
 
10.0%
교육서비스업 2
 
5.0%
건설업 2
 
5.0%
제조 및 도소매 2
 
5.0%
사업지원 및 임대서비스업 1
 
2.5%
보건업 및 사회서비스업 1
 
2.5%
보건업및사회복지서비스업 1
 
2.5%
학술연구용역, 교육컨설팅, 평생교육원 1
 
2.5%
일반음식점 1
 
2.5%
Other values (6) 6
 
15.0%

Length

2023-12-13T06:38:55.957063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서비스 19
31.1%
및 6
 
9.8%
서비스업 4
 
6.6%
제조 3
 
4.9%
도소매 3
 
4.9%
교육서비스업 2
 
3.3%
건설업 2
 
3.3%
외 1
 
1.6%
이벤트 1
 
1.6%
기획·연출 1
 
1.6%
Other values (19) 19
31.1%

연락처
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing6
Missing (%)15.0%
Memory size452.0 B
2023-12-13T06:38:56.179894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.676471
Min length11

Characters and Unicode

Total characters397
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row02-747-2428
2nd row02-734-5451
3rd row02-2276-0405
4th row02-6160-6700
5th row02-3673-3966
ValueCountFrequency (%)
02-6384-3222 1
 
2.9%
02-741-7441 1
 
2.9%
02-3672-4235 1
 
2.9%
02-3216-3968 1
 
2.9%
02-6349-9006 1
 
2.9%
02-6677-6677 1
 
2.9%
02-332-2010 1
 
2.9%
02-741-3582 1
 
2.9%
02-764-0702 1
 
2.9%
02-742-9272 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T06:38:56.554210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 72
18.1%
- 68
17.1%
0 63
15.9%
6 36
9.1%
3 34
8.6%
4 33
8.3%
7 32
8.1%
1 19
 
4.8%
5 16
 
4.0%
8 13
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
82.9%
Dash Punctuation 68
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 72
21.9%
0 63
19.1%
6 36
10.9%
3 34
10.3%
4 33
10.0%
7 32
9.7%
1 19
 
5.8%
5 16
 
4.9%
8 13
 
4.0%
9 11
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 72
18.1%
- 68
17.1%
0 63
15.9%
6 36
9.1%
3 34
8.6%
4 33
8.3%
7 32
8.1%
1 19
 
4.8%
5 16
 
4.0%
8 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 72
18.1%
- 68
17.1%
0 63
15.9%
6 36
9.1%
3 34
8.6%
4 33
8.3%
7 32
8.1%
1 19
 
4.8%
5 16
 
4.0%
8 13
 
3.3%

주소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T06:38:56.873474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length30.875
Min length16

Characters and Unicode

Total characters1235
Distinct characters129
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

Unique40 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 계동길 84-3(계동길)
2nd row서울특별시 종로구 삼청로 135, 지1층 101호(삼청동)
3rd row서울특별시 종로구 동숭길 25, 4층 405호(동숭동, 유리빌딩)
4th row서울특별시 종로구 청계천로 307, 나동 402호(창신동, 동대문신발상가)
5th row서울특별시 종로구 율곡로6길 36, 908호(운니동, 오피스텔월드)
ValueCountFrequency (%)
종로구 41
 
18.4%
서울특별시 40
 
17.9%
새문안로 5
 
2.2%
청계천로 4
 
1.8%
창경궁로35길 4
 
1.8%
3
 
1.3%
26 2
 
0.9%
4층 2
 
0.9%
새문안로3길 2
 
0.9%
북촌로 2
 
0.9%
Other values (111) 118
52.9%
2023-12-13T06:38:57.295466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
14.8%
로 79
 
6.4%
종 44
 
3.6%
구 41
 
3.3%
서 40
 
3.2%
1 40
 
3.2%
울 40
 
3.2%
시 40
 
3.2%
특 40
 
3.2%
별 40
 
3.2%
Other values (119) 648
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 742
60.1%
Decimal Number 204
 
16.5%
Space Separator 183
 
14.8%
Other Punctuation 31
 
2.5%
Open Punctuation 28
 
2.3%
Close Punctuation 28
 
2.3%
Dash Punctuation 13
 
1.1%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 79
 
10.6%
종 44
 
5.9%
구 41
 
5.5%
서 40
 
5.4%
울 40
 
5.4%
시 40
 
5.4%
특 40
 
5.4%
별 40
 
5.4%
동 34
 
4.6%
길 22
 
3.0%
Other values (101) 322
43.4%
Decimal Number
ValueCountFrequency (%)
1 40
19.6%
3 28
13.7%
4 27
13.2%
2 23
11.3%
5 20
9.8%
0 20
9.8%
8 16
 
7.8%
6 15
 
7.4%
9 8
 
3.9%
7 7
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
U 1
 
16.7%
D 1
 
16.7%
Space Separator
ValueCountFrequency (%)
183
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 742
60.1%
Common 487
39.4%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 79
 
10.6%
종 44
 
5.9%
구 41
 
5.5%
서 40
 
5.4%
울 40
 
5.4%
시 40
 
5.4%
특 40
 
5.4%
별 40
 
5.4%
동 34
 
4.6%
길 22
 
3.0%
Other values (101) 322
43.4%
Common
ValueCountFrequency (%)
183
37.6%
1 40
 
8.2%
, 31
 
6.4%
3 28
 
5.7%
( 28
 
5.7%
) 28
 
5.7%
4 27
 
5.5%
2 23
 
4.7%
5 20
 
4.1%
0 20
 
4.1%
Other values (5) 59
 
12.1%
Latin
ValueCountFrequency (%)
B 4
66.7%
U 1
 
16.7%
D 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 742
60.1%
ASCII 493
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
37.1%
1 40
 
8.1%
, 31
 
6.3%
3 28
 
5.7%
( 28
 
5.7%
) 28
 
5.7%
4 27
 
5.5%
2 23
 
4.7%
5 20
 
4.1%
0 20
 
4.1%
Other values (8) 65
 
13.2%
Hangul
ValueCountFrequency (%)
로 79
 
10.6%
종 44
 
5.9%
구 41
 
5.5%
서 40
 
5.4%
울 40
 
5.4%
시 40
 
5.4%
특 40
 
5.4%
별 40
 
5.4%
동 34
 
4.6%
길 22
 
3.0%
Other values (101) 322
43.4%

인증_지정일
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T06:38:57.544539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length11.325
Min length10

Characters and Unicode

Total characters453
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row제2022-251호
2nd row제2021-457호
3rd row제2021-271호
4th row제2021-270호
5th row제2021-122호
ValueCountFrequency (%)
문화체육관광형 4
 
8.0%
서울 2
 
4.0%
고용노동부 2
 
4.0%
제2022-251호 1
 
2.0%
제2022-149호 1
 
2.0%
제2010-067호 1
 
2.0%
제2010-065호 1
 
2.0%
제2010-035호 1
 
2.0%
제2009-035호 1
 
2.0%
제2008-104호 1
 
2.0%
Other values (35) 35
70.0%
2023-12-13T06:38:57.996052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 75
16.6%
0 74
16.3%
1 49
10.8%
제 40
8.8%
- 40
8.8%
호 40
8.8%
4 12
 
2.6%
3 12
 
2.6%
9 12
 
2.6%
6 11
 
2.4%
Other values (20) 88
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
60.3%
Other Letter 130
28.7%
Dash Punctuation 40
 
8.8%
Space Separator 10
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 40
30.8%
호 40
30.8%
화 6
 
4.6%
문 6
 
4.6%
형 5
 
3.8%
체 4
 
3.1%
육 4
 
3.1%
관 4
 
3.1%
광 4
 
3.1%
용 2
 
1.5%
Other values (8) 15
 
11.5%
Decimal Number
ValueCountFrequency (%)
2 75
27.5%
0 74
27.1%
1 49
17.9%
4 12
 
4.4%
3 12
 
4.4%
9 12
 
4.4%
6 11
 
4.0%
7 10
 
3.7%
8 9
 
3.3%
5 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 323
71.3%
Hangul 130
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 40
30.8%
호 40
30.8%
화 6
 
4.6%
문 6
 
4.6%
형 5
 
3.8%
체 4
 
3.1%
육 4
 
3.1%
관 4
 
3.1%
광 4
 
3.1%
용 2
 
1.5%
Other values (8) 15
 
11.5%
Common
ValueCountFrequency (%)
2 75
23.2%
0 74
22.9%
1 49
15.2%
- 40
12.4%
4 12
 
3.7%
3 12
 
3.7%
9 12
 
3.7%
6 11
 
3.4%
10
 
3.1%
7 10
 
3.1%
Other values (2) 18
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 323
71.3%
Hangul 130
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 75
23.2%
0 74
22.9%
1 49
15.2%
- 40
12.4%
4 12
 
3.7%
3 12
 
3.7%
9 12
 
3.7%
6 11
 
3.4%
10
 
3.1%
7 10
 
3.1%
Other values (2) 18
 
5.6%
Hangul
ValueCountFrequency (%)
제 40
30.8%
호 40
30.8%
화 6
 
4.6%
문 6
 
4.6%
형 5
 
3.8%
체 4
 
3.1%
육 4
 
3.1%
관 4
 
3.1%
광 4
 
3.1%
용 2
 
1.5%
Other values (8) 15
 
11.5%

Correlations

2023-12-13T06:38:58.105882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업명인증여부대표자사업내용(요약)업태연락처주소인증_지정일
기업명1.0001.0001.0001.0001.0001.0001.0001.000
인증여부1.0001.0000.0001.0000.4761.0001.0001.000
대표자1.0000.0001.0000.9971.0001.0001.0001.000
사업내용(요약)1.0001.0000.9971.0001.0001.0001.0001.000
업태1.0000.4761.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
인증_지정일1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T06:38:58.215169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증여부업태
인증여부1.0000.284
업태0.2841.000
2023-12-13T06:38:58.334274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증여부업태
인증여부1.0000.284
업태0.2841.000

Missing values

2023-12-13T06:38:53.506974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:38:53.619763image/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

기업명인증여부대표자사업내용(요약)업태연락처주소인증_지정일
0주식회사물나무에듀(MulnamooeduCo.,Ltd.)인증김현식전통한지 사업, 사진관 운영서비스02-747-2428서울특별시 종로구 계동길 84-3(계동길)제2022-251호
1주식회사다인에스인증조숙자건축물 일반 청소업 및 건물 시설관리사업지원 및 임대서비스업02-734-5451서울특별시 종로구 삼청로 135, 지1층 101호(삼청동)제2021-457호
2들다방 주식회사인증김유미커피, 의류, 상품 종합 도매업보건업 및 사회서비스업02-2276-0405서울특별시 종로구 동숭길 25, 4층 405호(동숭동, 유리빌딩)제2021-271호
3(주)나인벨류인증정경미동대문 신발도매, 온라인B2B서비스<NA>서울특별시 종로구 청계천로 307, 나동 402호(창신동, 동대문신발상가)제2021-270호
4㈜헤리티지프로젝트인증이지은문화예술 관련 기획 서비스서비스02-6160-6700서울특별시 종로구 율곡로6길 36, 908호(운니동, 오피스텔월드)제2021-122호
5사회적협동조합 종로돌봄센터인증문현기장애인활동지원, 노인재가장기요양, 가사간병방문지원서비스 등보건업및사회복지서비스업02-3673-3966서울특별시 종로구 지봉로 81, 1동 1층 16호(창신동, 브라운스톤 창신)제2021-116호
6사단법인 지식콘텐츠기업협회인증김근희학술연구용역, 온라인학습콘텐츠 기획학술연구용역, 교육컨설팅, 평생교육원070-4042-8070서울특별시 종로구 자하문로10길 10-5, 1층(통의동, 환희빌딩)제2021-114호
7㈜ 촌티서울인증이은희, 홍석봉예술, 스포츠 및 여가관련 서비스업(실버여가산업)서비스업<NA>서울특별시 종로구 새문안로 35-48(신문로2가)제2020-082호
8(주)을정인증이해경한식음식점업일반음식점02-739-1388서울특별시 종로구 새문안로3길 36용비어천가빌딩 B107, B108, B105, B111호제2019-364호
9(주)낭만극장인증김종준실버영화관서비스02-742-4232서울특별시 종로구 삼일대로 4284층 낭만극장제2019-148호
기업명인증여부대표자사업내용(요약)업태연락처주소인증_지정일
30주식회사메이크슈어예비이유림장애인의류 제조 및 판매제조 및 도소매<NA>서울특별시 종로구 창경궁로35길 26(혜화동)서울 제2022-39호
31(주)헬로피플예비김정락경영컨설팅서비스02-555-3417서울특별시 종로구 세종대로23길 47 (당주동) , 6층 601-115호(미도파광화문빌딩)서울 제2020-61호
32㈜앵커랩예비전미영시계 수리 및 복원 등서비스<NA>서울특별시 종로구 청계천로 159(장사동) 세운상가 세운메이커스큐브 동-301호문화재청 제2022-04호
33이든피플예비홍한솔시니어 모델, 중.장년층 예술교육예술 교육프로그램 및 공연 이벤트 기획·연출02-540-4464서울특별시 종로구 창경궁로35길 26 혜화동지하 1층문화체육관광형 제2021-33호
34인클래식(INCLASSIC Co.,Ltd)예비정인서공연 기획업서비스업02-2280-3372서울특별시 종로구 창경궁로35길 40알파라운드 4층문화체육관광형 제2021-52호
35(사단법인)한국문화재기능인협회예비이광복학술교양지, 기능인교육 및 직종별 문화재기능교육서비스업02-3672-8803서울특별시 종로구 북촌로4길 20계동,연화빌딩 3층문화재형 제2020-010호
36문화예술사회적협동조합플랫폼702예비엄덕영공연예술서비스, 전시회 기획공연기획 외02-764-0702서울특별시 종로구 성균관로 4-82층문화체육관광형 제2020-06호
37시니어벤져스사회적협동조합예비김종준어르신일자리제공, 돈의문 학교앞 분식 운영서비스<NA>서울특별시 종로구 새문안로 39-1문화체육관광형 제2021-11호
38주식회사 꽃피어날예비박한슬마음돌봄다이어리 제작도소매업<NA>서울특별시 종로구 창경궁로35길 26, 5층 (인큐베이팅센터, 혜화동)고용노동부 제2022-149호
39주식회사 청년비스튜디오예비김영욱영상물제작, 디지털컨텐츠제작. 전시출판, 영상, 방송통신 및 정보서비스업(J)02-2274-6630서울특별시 종로구 청계천로 159 장사동고용노동부 제2021-053호