Overview

Dataset statistics

Number of variables12
Number of observations27
Missing cells21
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory100.9 B

Variable types

Text8
Categorical2
Boolean1
DateTime1

Dataset

Description서울특별시 관악구 관내 사회적기업 정보에 대한 데이터로 기관명, 사회서비스분야, 주된목적, 사업내용, 인증여부, 인증일자, 인증번호, 대표자명, 전화번호, 도로명주소, 지번주소,홈페이지주소 등 항목을 제공합니다.
Author서울특별시 관악구
URLhttps://www.data.go.kr/data/3074317/fileData.do

Alerts

전화번호 has 3 (11.1%) missing valuesMissing
홈페이지주소 has 18 (66.7%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:18:59.822384
Analysis finished2023-12-12 05:19:01.193473
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T14:19:01.335555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.3703704
Min length4

Characters and Unicode

Total characters226
Distinct characters108
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row㈜나눔공동체
2nd row관악시니어클럽 콩깍지
3rd row㈜착한여행
4th row씨에스씨푸드주식회사
5th row㈜아야어여
ValueCountFrequency (%)
주식회사 4
 
11.1%
사단법인 2
 
5.6%
㈜나눔공동체 1
 
2.8%
관악정다운의료복지사회적협동조합 1
 
2.8%
생황과 1
 
2.8%
사람들 1
 
2.8%
작업공감협동조합 1
 
2.8%
㈜어울리 1
 
2.8%
㈜원더플 1
 
2.8%
㈜이엠그린 1
 
2.8%
Other values (22) 22
61.1%
2023-12-12T14:19:01.698626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 14
 
6.2%
㈜ 12
 
5.3%
9
 
4.0%
동 9
 
4.0%
회 8
 
3.5%
합 6
 
2.7%
조 6
 
2.7%
협 6
 
2.7%
주 5
 
2.2%
식 5
 
2.2%
Other values (98) 146
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
90.7%
Other Symbol 12
 
5.3%
Space Separator 9
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
6.8%
동 9
 
4.4%
회 8
 
3.9%
합 6
 
2.9%
조 6
 
2.9%
협 6
 
2.9%
주 5
 
2.4%
식 5
 
2.4%
스 5
 
2.4%
어 4
 
2.0%
Other values (96) 137
66.8%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
96.0%
Common 9
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
6.5%
㈜ 12
 
5.5%
동 9
 
4.1%
회 8
 
3.7%
합 6
 
2.8%
조 6
 
2.8%
협 6
 
2.8%
주 5
 
2.3%
식 5
 
2.3%
스 5
 
2.3%
Other values (97) 141
65.0%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
90.7%
None 12
 
5.3%
ASCII 9
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 14
 
6.8%
동 9
 
4.4%
회 8
 
3.9%
합 6
 
2.9%
조 6
 
2.9%
협 6
 
2.9%
주 5
 
2.4%
식 5
 
2.4%
스 5
 
2.4%
어 4
 
2.0%
Other values (96) 137
66.8%
None
ValueCountFrequency (%)
㈜ 12
100.0%
ASCII
ValueCountFrequency (%)
9
100.0%

사회서비스분야
Categorical

Distinct7
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
기타
15 
고용서비스
4 
예술 문화 서비스
3 
교육
2 
관광 서비스
 
1
Other values (2)
2 

Length

Max length9
Median length2
Mean length3.5555556
Min length2

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row기타
2nd row고용서비스
3rd row관광 서비스
4th row고용서비스
5th row기타

Common Values

ValueCountFrequency (%)
기타 15
55.6%
고용서비스 4
 
14.8%
예술 문화 서비스 3
 
11.1%
교육 2
 
7.4%
관광 서비스 1
 
3.7%
사회복지서비스 1
 
3.7%
보건 1
 
3.7%

Length

2023-12-12T14:19:01.866921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:19:01.982856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 15
44.1%
고용서비스 4
 
11.8%
서비스 4
 
11.8%
예술 3
 
8.8%
문화 3
 
8.8%
교육 2
 
5.9%
관광 1
 
2.9%
사회복지서비스 1
 
2.9%
보건 1
 
2.9%

주된목적
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
창의·혁신형
13 
일자리제공형
5 
지역사회공헌형
4 
혼합형
2 
사회서비스제공형
2 

Length

Max length8
Median length6
Mean length5.962963
Min length3

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row혼합형
2nd row일자리제공형
3rd row창의·혁신형
4th row일자리제공형
5th row기타형

Common Values

ValueCountFrequency (%)
창의·혁신형 13
48.1%
일자리제공형 5
 
18.5%
지역사회공헌형 4
 
14.8%
혼합형 2
 
7.4%
사회서비스제공형 2
 
7.4%
기타형 1
 
3.7%

Length

2023-12-12T14:19:02.115712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:19:02.221529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창의·혁신형 13
48.1%
일자리제공형 5
 
18.5%
지역사회공헌형 4
 
14.8%
혼합형 2
 
7.4%
사회서비스제공형 2
 
7.4%
기타형 1
 
3.7%

사업내용
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T14:19:02.432300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length13.111111
Min length7

Characters and Unicode

Total characters354
Distinct characters134
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

Unique25 ?
Unique (%)92.6%

Sample

1st row도시락 급식사업
2nd row웰빙 두부/참기름 등 제작판매
3rd row공정여행(해외연수)
4th row어르신 도시락사업단
5th row문화예술 교육/행사
ValueCountFrequency (%)
및 8
 
9.9%
운영 4
 
4.9%
문화예술 3
 
3.7%
프로그램 2
 
2.5%
교육/행사 2
 
2.5%
사업 2
 
2.5%
통한 1
 
1.2%
지역연구를 1
 
1.2%
모임 1
 
1.2%
주민 1
 
1.2%
Other values (56) 56
69.1%
2023-12-12T14:19:02.795877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
15.3%
/ 11
 
3.1%
지 9
 
2.5%
교 8
 
2.3%
육 8
 
2.3%
사 8
 
2.3%
및 8
 
2.3%
제 8
 
2.3%
공 7
 
2.0%
역 6
 
1.7%
Other values (124) 227
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
80.5%
Space Separator 54
 
15.3%
Other Punctuation 11
 
3.1%
Uppercase Letter 2
 
0.6%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9
 
3.2%
교 8
 
2.8%
육 8
 
2.8%
사 8
 
2.8%
및 8
 
2.8%
제 8
 
2.8%
공 7
 
2.5%
역 6
 
2.1%
영 6
 
2.1%
행 6
 
2.1%
Other values (118) 211
74.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
80.5%
Common 67
 
18.9%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9
 
3.2%
교 8
 
2.8%
육 8
 
2.8%
사 8
 
2.8%
및 8
 
2.8%
제 8
 
2.8%
공 7
 
2.5%
역 6
 
2.1%
영 6
 
2.1%
행 6
 
2.1%
Other values (118) 211
74.0%
Common
ValueCountFrequency (%)
54
80.6%
/ 11
 
16.4%
( 1
 
1.5%
) 1
 
1.5%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
80.5%
ASCII 69
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
78.3%
/ 11
 
15.9%
( 1
 
1.4%
) 1
 
1.4%
I 1
 
1.4%
T 1
 
1.4%
Hangul
ValueCountFrequency (%)
지 9
 
3.2%
교 8
 
2.8%
육 8
 
2.8%
사 8
 
2.8%
및 8
 
2.8%
제 8
 
2.8%
공 7
 
2.5%
역 6
 
2.1%
영 6
 
2.1%
행 6
 
2.1%
Other values (118) 211
74.0%

인증여부
Boolean

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
True
19 
False
8 
ValueCountFrequency (%)
True 19
70.4%
False 8
29.6%
2023-12-12T14:19:02.898060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Date

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2008-01-07 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T14:19:02.998536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:19:03.136729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인증번호
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T14:19:03.391674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.962963
Min length9

Characters and Unicode

Total characters269
Distinct characters13
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

Unique25 ?
Unique (%)92.6%

Sample

1st row제2007-042호
2nd row제2010-208호
3rd row제2010-209호
4th row제2011-114호
5th row제2023-119호
ValueCountFrequency (%)
제2020-076호 2
 
7.4%
제2007-042호 1
 
3.7%
제2018-012호 1
 
3.7%
제2021-012호 1
 
3.7%
제2020-152호 1
 
3.7%
제2020-36호 1
 
3.7%
제2022-030호 1
 
3.7%
제2022-046호 1
 
3.7%
제2022-116호 1
 
3.7%
제2021-376호 1
 
3.7%
Other values (16) 16
59.3%
2023-12-12T14:19:03.771471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 53
19.7%
0 52
19.3%
1 36
13.4%
제 27
10.0%
- 27
10.0%
호 27
10.0%
6 10
 
3.7%
8 8
 
3.0%
7 7
 
2.6%
4 6
 
2.2%
Other values (3) 16
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 188
69.9%
Other Letter 54
 
20.1%
Dash Punctuation 27
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 53
28.2%
0 52
27.7%
1 36
19.1%
6 10
 
5.3%
8 8
 
4.3%
7 7
 
3.7%
4 6
 
3.2%
9 6
 
3.2%
3 6
 
3.2%
5 4
 
2.1%
Other Letter
ValueCountFrequency (%)
제 27
50.0%
호 27
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
79.9%
Hangul 54
 
20.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 53
24.7%
0 52
24.2%
1 36
16.7%
- 27
12.6%
6 10
 
4.7%
8 8
 
3.7%
7 7
 
3.3%
4 6
 
2.8%
9 6
 
2.8%
3 6
 
2.8%
Hangul
ValueCountFrequency (%)
제 27
50.0%
호 27
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
79.9%
Hangul 54
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 53
24.7%
0 52
24.2%
1 36
16.7%
- 27
12.6%
6 10
 
4.7%
8 8
 
3.7%
7 7
 
3.3%
4 6
 
2.8%
9 6
 
2.8%
3 6
 
2.8%
Hangul
ValueCountFrequency (%)
제 27
50.0%
호 27
50.0%

대표자명
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T14:19:03.984106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9259259
Min length2

Characters and Unicode

Total characters79
Distinct characters48
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

Unique25 ?
Unique (%)92.6%

Sample

1st row최영남
2nd row변미래
3rd row나효우
4th row변미래
5th row김서현
ValueCountFrequency (%)
변미래 2
 
7.4%
최영남 1
 
3.7%
박상아 1
 
3.7%
전미정 1
 
3.7%
이향미 1
 
3.7%
안병천 1
 
3.7%
박명희 1
 
3.7%
박정수 1
 
3.7%
김지현 1
 
3.7%
김혜경 1
 
3.7%
Other values (16) 16
59.3%
2023-12-12T14:19:04.285810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
11.4%
정 6
 
7.6%
박 4
 
5.1%
수 4
 
5.1%
미 4
 
5.1%
현 3
 
3.8%
기 2
 
2.5%
성 2
 
2.5%
변 2
 
2.5%
이 2
 
2.5%
Other values (38) 41
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
11.4%
정 6
 
7.6%
박 4
 
5.1%
수 4
 
5.1%
미 4
 
5.1%
현 3
 
3.8%
기 2
 
2.5%
성 2
 
2.5%
변 2
 
2.5%
이 2
 
2.5%
Other values (38) 41
51.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
11.4%
정 6
 
7.6%
박 4
 
5.1%
수 4
 
5.1%
미 4
 
5.1%
현 3
 
3.8%
기 2
 
2.5%
성 2
 
2.5%
변 2
 
2.5%
이 2
 
2.5%
Other values (38) 41
51.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
11.4%
정 6
 
7.6%
박 4
 
5.1%
수 4
 
5.1%
미 4
 
5.1%
현 3
 
3.8%
기 2
 
2.5%
성 2
 
2.5%
변 2
 
2.5%
이 2
 
2.5%
Other values (38) 41
51.9%

전화번호
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing3
Missing (%)11.1%
Memory size348.0 B
2023-12-12T14:19:04.491238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.75
Min length11

Characters and Unicode

Total characters282
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

Unique22 ?
Unique (%)91.7%

Sample

1st row02-826-0282
2nd row02-874-9295
3rd row02-701-9071
4th row02-874-9295
5th row070-4633-0433
ValueCountFrequency (%)
02-874-9295 2
 
8.3%
02-7120-0188 1
 
4.2%
02-826-0282 1
 
4.2%
02-8842-0110 1
 
4.2%
02-877-9015 1
 
4.2%
070-8614-3612 1
 
4.2%
02-885-8003 1
 
4.2%
02-866-1318 1
 
4.2%
070-4021-8504 1
 
4.2%
02-888-0419 1
 
4.2%
Other values (13) 13
54.2%
2023-12-12T14:19:04.854757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
18.1%
- 48
17.0%
8 38
13.5%
2 34
12.1%
1 23
8.2%
3 21
7.4%
7 20
 
7.1%
5 14
 
5.0%
4 12
 
4.3%
6 11
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
83.0%
Dash Punctuation 48
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
21.8%
8 38
16.2%
2 34
14.5%
1 23
9.8%
3 21
9.0%
7 20
 
8.5%
5 14
 
6.0%
4 12
 
5.1%
6 11
 
4.7%
9 10
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
18.1%
- 48
17.0%
8 38
13.5%
2 34
12.1%
1 23
8.2%
3 21
7.4%
7 20
 
7.1%
5 14
 
5.0%
4 12
 
4.3%
6 11
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
18.1%
- 48
17.0%
8 38
13.5%
2 34
12.1%
1 23
8.2%
3 21
7.4%
7 20
 
7.1%
5 14
 
5.0%
4 12
 
4.3%
6 11
 
3.9%

소재지도로명주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T14:19:05.109590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length20.703704
Min length17

Characters and Unicode

Total characters559
Distinct characters53
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 (%)85.2%

Sample

1st row서울특별시 관악구 은천로25길 27
2nd row서울특별시 관악구 남부순환로247다길 60
3rd row서울특별시 관악구 신림로44나길 18
4th row서울특별시 관악구 은천로1길 5-4
5th row서울특별시 관악구 조원로 151-1+ 4층
ValueCountFrequency (%)
서울특별시 27
21.6%
관악구 27
21.6%
난곡로 7
 
5.6%
4층 6
 
4.8%
78 4
 
3.2%
3층 3
 
2.4%
남부순환로 2
 
1.6%
1811 2
 
1.6%
501호 1
 
0.8%
보라매로 1
 
0.8%
Other values (45) 45
36.0%
2023-12-12T14:19:05.547350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
17.5%
관 29
 
5.2%
서 28
 
5.0%
악 28
 
5.0%
1 28
 
5.0%
특 27
 
4.8%
별 27
 
4.8%
시 27
 
4.8%
구 27
 
4.8%
울 27
 
4.8%
Other values (43) 213
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
60.1%
Decimal Number 105
 
18.8%
Space Separator 98
 
17.5%
Math Symbol 17
 
3.0%
Dash Punctuation 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 29
 
8.6%
서 28
 
8.3%
악 28
 
8.3%
특 27
 
8.0%
별 27
 
8.0%
시 27
 
8.0%
구 27
 
8.0%
울 27
 
8.0%
로 25
 
7.4%
층 14
 
4.2%
Other values (28) 77
22.9%
Decimal Number
ValueCountFrequency (%)
1 28
26.7%
2 14
13.3%
4 12
11.4%
7 10
 
9.5%
8 9
 
8.6%
3 8
 
7.6%
5 8
 
7.6%
0 7
 
6.7%
6 5
 
4.8%
9 4
 
3.8%
Math Symbol
ValueCountFrequency (%)
+ 16
94.1%
~ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
60.1%
Common 222
39.7%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 29
 
8.6%
서 28
 
8.3%
악 28
 
8.3%
특 27
 
8.0%
별 27
 
8.0%
시 27
 
8.0%
구 27
 
8.0%
울 27
 
8.0%
로 25
 
7.4%
층 14
 
4.2%
Other values (28) 77
22.9%
Common
ValueCountFrequency (%)
98
44.1%
1 28
 
12.6%
+ 16
 
7.2%
2 14
 
6.3%
4 12
 
5.4%
7 10
 
4.5%
8 9
 
4.1%
3 8
 
3.6%
5 8
 
3.6%
0 7
 
3.2%
Other values (4) 12
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
60.1%
ASCII 223
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
43.9%
1 28
 
12.6%
+ 16
 
7.2%
2 14
 
6.3%
4 12
 
5.4%
7 10
 
4.5%
8 9
 
4.0%
3 8
 
3.6%
5 8
 
3.6%
0 7
 
3.1%
Other values (5) 13
 
5.8%
Hangul
ValueCountFrequency (%)
관 29
 
8.6%
서 28
 
8.3%
악 28
 
8.3%
특 27
 
8.0%
별 27
 
8.0%
시 27
 
8.0%
구 27
 
8.0%
울 27
 
8.0%
로 25
 
7.4%
층 14
 
4.2%
Other values (28) 77
22.9%

소재지지번주소
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T14:19:05.798015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length20.037037
Min length17

Characters and Unicode

Total characters541
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row서울특별시 관악구 봉천동 468-2
2nd row서울특별시 관악구 봉천동 148-145
3rd row서울특별시 관악구 신림동 92-237
4th row서울특별시 관악구 봉천동 963-26
5th row서울특별시 관악구 신림동 480-21
ValueCountFrequency (%)
서울특별시 27
24.8%
관악구 27
24.8%
신림동 18
16.5%
봉천동 9
 
8.3%
1736-2 4
 
3.7%
728-158 1
 
0.9%
1662-36 1
 
0.9%
1597-17 1
 
0.9%
650-3 1
 
0.9%
1513-7 1
 
0.9%
Other values (19) 19
17.4%
2023-12-12T14:19:06.197892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
15.3%
서 27
 
5.0%
울 27
 
5.0%
특 27
 
5.0%
별 27
 
5.0%
시 27
 
5.0%
관 27
 
5.0%
악 27
 
5.0%
구 27
 
5.0%
동 27
 
5.0%
Other values (17) 215
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
55.1%
Decimal Number 134
24.8%
Space Separator 83
 
15.3%
Dash Punctuation 25
 
4.6%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 27
9.1%
울 27
9.1%
특 27
9.1%
별 27
9.1%
시 27
9.1%
관 27
9.1%
악 27
9.1%
구 27
9.1%
동 27
9.1%
신 18
6.0%
Other values (4) 37
12.4%
Decimal Number
ValueCountFrequency (%)
1 24
17.9%
2 18
13.4%
6 17
12.7%
3 16
11.9%
4 13
9.7%
5 13
9.7%
7 13
9.7%
8 8
 
6.0%
9 8
 
6.0%
0 4
 
3.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
55.1%
Common 243
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 27
9.1%
울 27
9.1%
특 27
9.1%
별 27
9.1%
시 27
9.1%
관 27
9.1%
악 27
9.1%
구 27
9.1%
동 27
9.1%
신 18
6.0%
Other values (4) 37
12.4%
Common
ValueCountFrequency (%)
83
34.2%
- 25
 
10.3%
1 24
 
9.9%
2 18
 
7.4%
6 17
 
7.0%
3 16
 
6.6%
4 13
 
5.3%
5 13
 
5.3%
7 13
 
5.3%
8 8
 
3.3%
Other values (3) 13
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
55.1%
ASCII 243
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
34.2%
- 25
 
10.3%
1 24
 
9.9%
2 18
 
7.4%
6 17
 
7.0%
3 16
 
6.6%
4 13
 
5.3%
5 13
 
5.3%
7 13
 
5.3%
8 8
 
3.3%
Other values (3) 13
 
5.3%
Hangul
ValueCountFrequency (%)
서 27
9.1%
울 27
9.1%
특 27
9.1%
별 27
9.1%
시 27
9.1%
관 27
9.1%
악 27
9.1%
구 27
9.1%
동 27
9.1%
신 18
6.0%
Other values (4) 37
12.4%

홈페이지주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing18
Missing (%)66.7%
Memory size348.0 B
2023-12-12T14:19:06.425524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.222222
Min length11

Characters and Unicode

Total characters146
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowwww.nanumfood.co.kr
2nd rowwww.goodtravel.kr
3rd rowwww.cscfood.co.kr
4th rowwww.noljaent.com
5th rowwww.sentsoft.co.kr
ValueCountFrequency (%)
www.nanumfood.co.kr 1
11.1%
www.goodtravel.kr 1
11.1%
www.cscfood.co.kr 1
11.1%
www.noljaent.com 1
11.1%
www.sentsoft.co.kr 1
11.1%
www.hmg.or.kr 1
11.1%
share-us.kr 1
11.1%
www.woorisai.co.kr 1
11.1%
www.emgreen.co.kr 1
11.1%
2023-12-12T14:19:06.822688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 25
17.1%
. 23
15.8%
o 17
11.6%
r 13
8.9%
c 8
 
5.5%
k 8
 
5.5%
e 7
 
4.8%
s 6
 
4.1%
n 6
 
4.1%
a 5
 
3.4%
Other values (12) 28
19.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 122
83.6%
Other Punctuation 23
 
15.8%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 25
20.5%
o 17
13.9%
r 13
10.7%
c 8
 
6.6%
k 8
 
6.6%
e 7
 
5.7%
s 6
 
4.9%
n 6
 
4.9%
a 5
 
4.1%
t 4
 
3.3%
Other values (10) 23
18.9%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 122
83.6%
Common 24
 
16.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 25
20.5%
o 17
13.9%
r 13
10.7%
c 8
 
6.6%
k 8
 
6.6%
e 7
 
5.7%
s 6
 
4.9%
n 6
 
4.9%
a 5
 
4.1%
t 4
 
3.3%
Other values (10) 23
18.9%
Common
ValueCountFrequency (%)
. 23
95.8%
- 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 25
17.1%
. 23
15.8%
o 17
11.6%
r 13
8.9%
c 8
 
5.5%
k 8
 
5.5%
e 7
 
4.8%
s 6
 
4.1%
n 6
 
4.1%
a 5
 
3.4%
Other values (12) 28
19.2%

Correlations

2023-12-12T14:19:06.931017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.6011.0000.0000.9771.0001.0001.0000.8940.8941.000
주된목적1.0000.6011.0000.0000.5030.5750.7621.0001.0000.9050.9051.000
사업내용1.0001.0000.0001.0001.0001.0000.9880.9881.0000.9840.9841.000
인증여부1.0000.0000.5031.0001.0001.0000.0001.0001.0000.4000.400NaN
인증일자1.0000.9770.5751.0001.0001.0000.9710.9440.9480.9160.9161.000
인증번호1.0001.0000.7620.9880.0000.9711.0000.9880.9860.9840.9841.000
대표자명1.0001.0001.0000.9881.0000.9440.9881.0001.0000.9590.9591.000
전화번호1.0001.0001.0001.0001.0000.9480.9861.0001.0000.9480.9481.000
소재지도로명주소1.0000.8940.9050.9840.4000.9160.9840.9590.9481.0001.0001.000
소재지지번주소1.0000.8940.9050.9840.4000.9160.9840.9590.9481.0001.0001.000
홈페이지주소1.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.0001.000
2023-12-12T14:19:07.109696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증여부주된목적사회서비스분야
인증여부1.0000.3230.000
주된목적0.3231.0000.391
사회서비스분야0.0000.3911.000
2023-12-12T14:19:07.225451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증여부
사회서비스분야1.0000.3910.000
주된목적0.3911.0000.323
인증여부0.0000.3231.000

Missing values

2023-12-12T14:19:00.497656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:19:00.993964image/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.
2023-12-12T14:19:01.140195image/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

기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
0㈜나눔공동체기타혼합형도시락 급식사업Y2008-01-07제2007-042호최영남02-826-0282서울특별시 관악구 은천로25길 27서울특별시 관악구 봉천동 468-2www.nanumfood.co.kr
1관악시니어클럽 콩깍지고용서비스일자리제공형웰빙 두부/참기름 등 제작판매Y2010-12-21제2010-208호변미래02-874-9295서울특별시 관악구 남부순환로247다길 60서울특별시 관악구 봉천동 148-145<NA>
2㈜착한여행관광 서비스창의·혁신형공정여행(해외연수)Y2010-12-22제2010-209호나효우02-701-9071서울특별시 관악구 신림로44나길 18서울특별시 관악구 신림동 92-237www.goodtravel.kr
3씨에스씨푸드주식회사고용서비스일자리제공형어르신 도시락사업단Y2011-12-19제2011-114호변미래02-874-9295서울특별시 관악구 은천로1길 5-4서울특별시 관악구 봉천동 963-26www.cscfood.co.kr
4㈜아야어여기타기타형문화예술 교육/행사Y2023-06-15제2023-119호김서현<NA>서울특별시 관악구 조원로 151-1+ 4층서울특별시 관악구 신림동 480-21<NA>
5놀자엔터테인먼트협동조합예술 문화 서비스지역사회공헌형음악교육/공연 및 축제기획Y2016-06-29제2016-095호남일070-4633-0433서울특별시 관악구 난곡로 78+ 4층서울특별시 관악구 신림동 1736-2www.noljaent.com
6㈜에스이앤티고용서비스일자리제공형IT교육 프로그램 운영Y2016-09-06제2016-130호김기도02-855-3394서울특별시 관악구 난곡로 78+ 4층서울특별시 관악구 신림동 1736-2www.sentsoft.co.kr
7㈜일터인테리어고용서비스일자리제공형주택 및 건물 개보수Y2016-09-07제2016-140호김철070-8233-3288서울특별시 관악구 난곡로 81+ 1층서울특별시 관악구 신림동 663<NA>
8헤븐스뮤직그룹 주식회사예술 문화 서비스사회서비스제공형예술공연/교육Y2017-07-04제2017-098호정지선02-830-1068서울특별시 관악구 은천로 97+ 4층서울특별시 관악구 봉천동 498-7www.hmg.or.kr
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