Overview

Dataset statistics

Number of variables13
Number of observations38
Missing cells41
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory107.5 B

Variable types

Text8
Categorical2
Boolean1
DateTime2

Dataset

Description부산광역시 금정구 관내 사회적기업 현황(기업명, 기업주소, 기업전화번호, 기업의 사회적 기업 지정 일자, 인증여부 등)
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15007692/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
주된목적 is highly overall correlated with 인증(Y)_지정(N)High correlation
인증(Y)_지정(N) is highly overall correlated with 주된목적High correlation
전화번호 has 5 (13.2%) missing valuesMissing
소재지지번주소 has 9 (23.7%) missing valuesMissing
홈페이지주소 has 27 (71.1%) missing valuesMissing
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
인증(지정)번호 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:09:27.064555
Analysis finished2023-12-12 22:09:28.032791
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:09:28.280045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.5526316
Min length3

Characters and Unicode

Total characters287
Distinct characters131
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row재단법인 부산행복한학교재단
2nd row(주)파머스페이스
3rd row주식회사 그린솔루션
4th row(주)우다다목공소
5th row(사)안심생활
ValueCountFrequency (%)
주식회사 2
 
4.8%
재단법인 1
 
2.4%
㈜지앤지하우스 1
 
2.4%
㈜에스오엠프렌즈 1
 
2.4%
㈜미디엄 1
 
2.4%
㈜조이비 1
 
2.4%
신진문화예술행동흥 1
 
2.4%
㈜마유비 1
 
2.4%
㈜코나 1
 
2.4%
두남유통㈜ 1
 
2.4%
Other values (31) 31
73.8%
2023-12-13T07:09:28.847340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 17
 
5.9%
( 17
 
5.9%
16
 
5.6%
15
 
5.2%
7
 
2.4%
6
 
2.1%
6
 
2.1%
5
 
1.7%
5
 
1.7%
4
 
1.4%
Other values (121) 189
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
81.5%
Close Punctuation 17
 
5.9%
Open Punctuation 17
 
5.9%
Other Symbol 15
 
5.2%
Space Separator 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
6.8%
7
 
3.0%
6
 
2.6%
6
 
2.6%
5
 
2.1%
5
 
2.1%
4
 
1.7%
4
 
1.7%
4
 
1.7%
4
 
1.7%
Other values (117) 173
73.9%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Symbol
ValueCountFrequency (%)
15
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
86.8%
Common 38
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
6.4%
15
 
6.0%
7
 
2.8%
6
 
2.4%
6
 
2.4%
5
 
2.0%
5
 
2.0%
4
 
1.6%
4
 
1.6%
4
 
1.6%
Other values (118) 177
71.1%
Common
ValueCountFrequency (%)
) 17
44.7%
( 17
44.7%
4
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
81.5%
ASCII 38
 
13.2%
None 15
 
5.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 17
44.7%
( 17
44.7%
4
 
10.5%
Hangul
ValueCountFrequency (%)
16
 
6.8%
7
 
3.0%
6
 
2.6%
6
 
2.6%
5
 
2.1%
5
 
2.1%
4
 
1.7%
4
 
1.7%
4
 
1.7%
4
 
1.7%
Other values (117) 173
73.9%
None
ValueCountFrequency (%)
15
100.0%
Distinct8
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
기타
26 
환경
예술·관광
 
2
간병및가사지원
 
1
산림보전및관리
 
1
Other values (3)

Length

Max length7
Median length2
Mean length2.4736842
Min length2

Unique

Unique5 ?
Unique (%)13.2%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row간병및가사지원

Common Values

ValueCountFrequency (%)
기타 26
68.4%
환경 5
 
13.2%
예술·관광 2
 
5.3%
간병및가사지원 1
 
2.6%
산림보전및관리 1
 
2.6%
운동 1
 
2.6%
교육 1
 
2.6%
문화예술 1
 
2.6%

Length

2023-12-13T07:09:29.039034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:09:29.191158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 26
68.4%
환경 5
 
13.2%
예술·관광 2
 
5.3%
간병및가사지원 1
 
2.6%
산림보전및관리 1
 
2.6%
운동 1
 
2.6%
교육 1
 
2.6%
문화예술 1
 
2.6%

주된목적
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
창의혁신형(기타)
15 
일자리제공형
14 
사회서비스제공형
지역사회공헌형
 
1
혼합형
 
1

Length

Max length9
Median length8
Mean length7.5
Min length3

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row사회서비스제공형
2nd row일자리제공형
3rd row일자리제공형
4th row지역사회공헌형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
창의혁신형(기타) 15
39.5%
일자리제공형 14
36.8%
사회서비스제공형 7
18.4%
지역사회공헌형 1
 
2.6%
혼합형 1
 
2.6%

Length

2023-12-13T07:09:29.363502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:09:29.509586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창의혁신형(기타 15
39.5%
일자리제공형 14
36.8%
사회서비스제공형 7
18.4%
지역사회공헌형 1
 
2.6%
혼합형 1
 
2.6%

사업내용
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:09:29.805132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18.5
Mean length12.342105
Min length4

Characters and Unicode

Total characters469
Distinct characters150
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row방과후 학교지원사업
2nd row못난이 농산물 재가공 판매
3rd row친환경 생활용품 유통
4th row원목가구 제조
5th row방문요양, 방문목욕, 복지용구 판매
ValueCountFrequency (%)
판매 9
 
8.2%
5
 
4.5%
제조 4
 
3.6%
친환경 3
 
2.7%
교육서비스 2
 
1.8%
개발 2
 
1.8%
유통업 2
 
1.8%
디자인 2
 
1.8%
제공 1
 
0.9%
기획 1
 
0.9%
Other values (79) 79
71.8%
2023-12-13T07:09:30.284995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
16.0%
, 13
 
2.8%
12
 
2.6%
11
 
2.3%
11
 
2.3%
10
 
2.1%
10
 
2.1%
9
 
1.9%
9
 
1.9%
8
 
1.7%
Other values (140) 301
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
79.3%
Space Separator 75
 
16.0%
Other Punctuation 13
 
2.8%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Decimal Number 1
 
0.2%
Final Punctuation 1
 
0.2%
Initial Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
3.2%
11
 
3.0%
11
 
3.0%
10
 
2.7%
10
 
2.7%
9
 
2.4%
9
 
2.4%
8
 
2.2%
7
 
1.9%
7
 
1.9%
Other values (133) 278
74.7%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
79.3%
Common 97
 
20.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
3.2%
11
 
3.0%
11
 
3.0%
10
 
2.7%
10
 
2.7%
9
 
2.4%
9
 
2.4%
8
 
2.2%
7
 
1.9%
7
 
1.9%
Other values (133) 278
74.7%
Common
ValueCountFrequency (%)
75
77.3%
, 13
 
13.4%
) 3
 
3.1%
( 3
 
3.1%
4 1
 
1.0%
1
 
1.0%
1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
79.3%
ASCII 95
 
20.3%
Punctuation 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
78.9%
, 13
 
13.7%
) 3
 
3.2%
( 3
 
3.2%
4 1
 
1.1%
Hangul
ValueCountFrequency (%)
12
 
3.2%
11
 
3.0%
11
 
3.0%
10
 
2.7%
10
 
2.7%
9
 
2.4%
9
 
2.4%
8
 
2.2%
7
 
1.9%
7
 
1.9%
Other values (133) 278
74.7%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

인증(Y)_지정(N)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
False
21 
True
17 
ValueCountFrequency (%)
False 21
55.3%
True 17
44.7%
2023-12-13T07:09:30.436400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2007-10-29 00:00:00
Maximum2022-12-09 00:00:00
2023-12-13T07:09:30.530308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:09:30.654365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:09:30.862673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length11.052632
Min length10

Characters and Unicode

Total characters420
Distinct characters23
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

Unique38 ?
Unique (%)100.0%

Sample

1st row제2011-109호
2nd row제2015-132호
3rd row제2012-029호
4th row제2017-198호
5th row제2007-003호
ValueCountFrequency (%)
부산 14
25.0%
환경형 2
 
3.6%
제2011-109호 1
 
1.8%
1
 
1.8%
제2022-12호 1
 
1.8%
제2020-12호 1
 
1.8%
제2020-18호 1
 
1.8%
제2020-19호 1
 
1.8%
제2020-20호 1
 
1.8%
제2021-05호 1
 
1.8%
Other values (32) 32
57.1%
2023-12-13T07:09:31.221784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 73
17.4%
0 65
15.5%
1 54
12.9%
38
9.0%
- 38
9.0%
38
9.0%
18
 
4.3%
14
 
3.3%
14
 
3.3%
9 11
 
2.6%
Other values (13) 57
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 249
59.3%
Other Letter 115
27.4%
Dash Punctuation 38
 
9.0%
Space Separator 18
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
33.0%
38
33.0%
14
 
12.2%
14
 
12.2%
3
 
2.6%
2
 
1.7%
2
 
1.7%
1
 
0.9%
1
 
0.9%
1
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 73
29.3%
0 65
26.1%
1 54
21.7%
9 11
 
4.4%
7 10
 
4.0%
4 9
 
3.6%
8 9
 
3.6%
3 8
 
3.2%
5 6
 
2.4%
6 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 305
72.6%
Hangul 115
 
27.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 73
23.9%
0 65
21.3%
1 54
17.7%
- 38
12.5%
18
 
5.9%
9 11
 
3.6%
7 10
 
3.3%
4 9
 
3.0%
8 9
 
3.0%
3 8
 
2.6%
Other values (2) 10
 
3.3%
Hangul
ValueCountFrequency (%)
38
33.0%
38
33.0%
14
 
12.2%
14
 
12.2%
3
 
2.6%
2
 
1.7%
2
 
1.7%
1
 
0.9%
1
 
0.9%
1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 305
72.6%
Hangul 115
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 73
23.9%
0 65
21.3%
1 54
17.7%
- 38
12.5%
18
 
5.9%
9 11
 
3.6%
7 10
 
3.3%
4 9
 
3.0%
8 9
 
3.0%
3 8
 
2.6%
Other values (2) 10
 
3.3%
Hangul
ValueCountFrequency (%)
38
33.0%
38
33.0%
14
 
12.2%
14
 
12.2%
3
 
2.6%
2
 
1.7%
2
 
1.7%
1
 
0.9%
1
 
0.9%
1
 
0.9%

대표자명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:09:31.494784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1315789
Min length3

Characters and Unicode

Total characters119
Distinct characters60
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 (%)100.0%

Sample

1st row최기건
2nd row서호정
3rd row서세훈
4th row김재환
5th row김정순
ValueCountFrequency (%)
최기건 1
 
2.6%
김선주 1
 
2.6%
이호영 1
 
2.6%
장진권 1
 
2.6%
이준호 1
 
2.6%
허윤길 1
 
2.6%
손진석 1
 
2.6%
주은숙 1
 
2.6%
손광희 1
 
2.6%
이영현 1
 
2.6%
Other values (29) 29
74.4%
2023-12-13T07:09:31.924538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
6.7%
8
 
6.7%
7
 
5.9%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
Other values (50) 69
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
98.3%
Other Punctuation 1
 
0.8%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.8%
8
 
6.8%
7
 
6.0%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.6%
3
 
2.6%
Other values (48) 67
57.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
98.3%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.8%
8
 
6.8%
7
 
6.0%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.6%
3
 
2.6%
Other values (48) 67
57.3%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
98.3%
ASCII 2
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.8%
8
 
6.8%
7
 
6.0%
5
 
4.3%
4
 
3.4%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.6%
3
 
2.6%
Other values (48) 67
57.3%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

전화번호
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing5
Missing (%)13.2%
Memory size436.0 B
2023-12-13T07:09:32.166997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.212121
Min length12

Characters and Unicode

Total characters403
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

Unique33 ?
Unique (%)100.0%

Sample

1st row051-911-5161
2nd row051-626-1042
3rd row051-891-2827
4th row051-508-7677
5th row051-517-1881
ValueCountFrequency (%)
051-513-0142 1
 
3.0%
051-583-4554 1
 
3.0%
051-921-5031 1
 
3.0%
070-4607-7082 1
 
3.0%
070-4300-2737 1
 
3.0%
051-583-5556 1
 
3.0%
051-525-3990 1
 
3.0%
070-7322-1779 1
 
3.0%
051-921-7378 1
 
3.0%
051-626-1042 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T07:09:32.491667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 66
16.4%
1 66
16.4%
- 66
16.4%
5 59
14.6%
2 29
7.2%
7 28
6.9%
8 24
 
6.0%
3 23
 
5.7%
6 17
 
4.2%
4 15
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 337
83.6%
Dash Punctuation 66
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
19.6%
1 66
19.6%
5 59
17.5%
2 29
8.6%
7 28
8.3%
8 24
 
7.1%
3 23
 
6.8%
6 17
 
5.0%
4 15
 
4.5%
9 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 66
16.4%
1 66
16.4%
- 66
16.4%
5 59
14.6%
2 29
7.2%
7 28
6.9%
8 24
 
6.0%
3 23
 
5.7%
6 17
 
4.2%
4 15
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 66
16.4%
1 66
16.4%
- 66
16.4%
5 59
14.6%
2 29
7.2%
7 28
6.9%
8 24
 
6.0%
3 23
 
5.7%
6 17
 
4.2%
4 15
 
3.7%
Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:09:32.742846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length26.026316
Min length17

Characters and Unicode

Total characters989
Distinct characters81
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

Unique34 ?
Unique (%)89.5%

Sample

1st row부산광역시 금정구 금정로233번길 31 (구서동)
2nd row부산광역시 금정구 금강로 260 (장전동)
3rd row부산광역시 금정구 공단로 57 (금사동)
4th row부산광역시 금정구 체육공원로 648 (두구동)
5th row부산광역시 금정구 중앙대로 1883 (구서동)
ValueCountFrequency (%)
금정구 38
20.9%
부산광역시 37
20.3%
금샘로 3
 
1.6%
구서동 3
 
1.6%
금사동 2
 
1.1%
금정로 2
 
1.1%
오륜대로 2
 
1.1%
23 2
 
1.1%
부곡동 2
 
1.1%
금사로 2
 
1.1%
Other values (82) 89
48.9%
2023-12-13T07:09:33.107491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
15.0%
59
 
6.0%
48
 
4.9%
47
 
4.8%
46
 
4.7%
46
 
4.7%
38
 
3.8%
38
 
3.8%
37
 
3.7%
37
 
3.7%
Other values (71) 445
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
61.0%
Decimal Number 155
 
15.7%
Space Separator 148
 
15.0%
Open Punctuation 31
 
3.1%
Close Punctuation 31
 
3.1%
Other Punctuation 11
 
1.1%
Dash Punctuation 8
 
0.8%
Uppercase Letter 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
59
 
9.8%
48
 
8.0%
47
 
7.8%
46
 
7.6%
46
 
7.6%
38
 
6.3%
38
 
6.3%
37
 
6.1%
37
 
6.1%
37
 
6.1%
Other values (54) 170
28.2%
Decimal Number
ValueCountFrequency (%)
3 33
21.3%
1 29
18.7%
2 21
13.5%
0 17
11.0%
7 12
 
7.7%
5 12
 
7.7%
4 10
 
6.5%
6 8
 
5.2%
8 8
 
5.2%
9 5
 
3.2%
Space Separator
ValueCountFrequency (%)
148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
61.0%
Common 384
38.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
9.8%
48
 
8.0%
47
 
7.8%
46
 
7.6%
46
 
7.6%
38
 
6.3%
38
 
6.3%
37
 
6.1%
37
 
6.1%
37
 
6.1%
Other values (54) 170
28.2%
Common
ValueCountFrequency (%)
148
38.5%
3 33
 
8.6%
( 31
 
8.1%
) 31
 
8.1%
1 29
 
7.6%
2 21
 
5.5%
0 17
 
4.4%
7 12
 
3.1%
5 12
 
3.1%
, 11
 
2.9%
Other values (5) 39
 
10.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
k 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
61.0%
ASCII 386
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
38.3%
3 33
 
8.5%
( 31
 
8.0%
) 31
 
8.0%
1 29
 
7.5%
2 21
 
5.4%
0 17
 
4.4%
7 12
 
3.1%
5 12
 
3.1%
, 11
 
2.8%
Other values (7) 41
 
10.6%
Hangul
ValueCountFrequency (%)
59
 
9.8%
48
 
8.0%
47
 
7.8%
46
 
7.6%
46
 
7.6%
38
 
6.3%
38
 
6.3%
37
 
6.1%
37
 
6.1%
37
 
6.1%
Other values (54) 170
28.2%

소재지지번주소
Text

MISSING 

Distinct27
Distinct (%)93.1%
Missing9
Missing (%)23.7%
Memory size436.0 B
2023-12-13T07:09:33.303077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length20.827586
Min length14

Characters and Unicode

Total characters604
Distinct characters49
Distinct categories7 ?
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 (%)86.2%

Sample

1st row부산광역시 금정구 구서동 415-3
2nd row부산광역시 금정구 장전동 420-25
3rd row부산광역시 금정구 금사동 70-7
4th row부산광역시 금정구 두구동 179-1
5th row부산광역시 금정구 구서동 248-10
ValueCountFrequency (%)
부산광역시 29
23.2%
금정구 29
23.2%
장전동 7
 
5.6%
구서동 4
 
3.2%
금사동 4
 
3.2%
남산동 3
 
2.4%
301호 2
 
1.6%
25-6 2
 
1.6%
회동동 2
 
1.6%
227-2 2
 
1.6%
Other values (38) 41
32.8%
2023-12-13T07:09:33.614095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
15.9%
37
 
6.1%
34
 
5.6%
32
 
5.3%
31
 
5.1%
31
 
5.1%
30
 
5.0%
29
 
4.8%
29
 
4.8%
29
 
4.8%
Other values (39) 226
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
56.3%
Decimal Number 132
 
21.9%
Space Separator 96
 
15.9%
Dash Punctuation 26
 
4.3%
Other Punctuation 8
 
1.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
10.9%
34
10.0%
32
9.4%
31
9.1%
31
9.1%
30
8.8%
29
8.5%
29
8.5%
29
8.5%
9
 
2.6%
Other values (24) 49
14.4%
Decimal Number
ValueCountFrequency (%)
2 25
18.9%
1 22
16.7%
3 18
13.6%
4 14
10.6%
0 13
9.8%
7 11
8.3%
8 9
 
6.8%
5 9
 
6.8%
6 6
 
4.5%
9 5
 
3.8%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
56.3%
Common 264
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
10.9%
34
10.0%
32
9.4%
31
9.1%
31
9.1%
30
8.8%
29
8.5%
29
8.5%
29
8.5%
9
 
2.6%
Other values (24) 49
14.4%
Common
ValueCountFrequency (%)
96
36.4%
- 26
 
9.8%
2 25
 
9.5%
1 22
 
8.3%
3 18
 
6.8%
4 14
 
5.3%
0 13
 
4.9%
7 11
 
4.2%
8 9
 
3.4%
5 9
 
3.4%
Other values (5) 21
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
56.3%
ASCII 264
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
36.4%
- 26
 
9.8%
2 25
 
9.5%
1 22
 
8.3%
3 18
 
6.8%
4 14
 
5.3%
0 13
 
4.9%
7 11
 
4.2%
8 9
 
3.4%
5 9
 
3.4%
Other values (5) 21
 
8.0%
Hangul
ValueCountFrequency (%)
37
10.9%
34
10.0%
32
9.4%
31
9.1%
31
9.1%
30
8.8%
29
8.5%
29
8.5%
29
8.5%
9
 
2.6%
Other values (24) 49
14.4%

홈페이지주소
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing27
Missing (%)71.1%
Memory size436.0 B
2023-12-13T07:09:33.780027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length17
Min length11

Characters and Unicode

Total characters187
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowhttp://bshappy-school.or.kr
2nd rowhttp://www.fspace.co.kr
3rd rowhttp://www.ansim.org
4th rowhttp://www.ecosister.or.kr
5th rowwww.ecokid.or.kr
ValueCountFrequency (%)
http://bshappy-school.or.kr 1
9.1%
http://www.fspace.co.kr 1
9.1%
http://www.ansim.org 1
9.1%
http://www.ecosister.or.kr 1
9.1%
www.ecokid.or.kr 1
9.1%
raonedu.co.kr 1
9.1%
joybee.co.kr 1
9.1%
labor-art.org 1
9.1%
beluv.co.kr 1
9.1%
www.doonam.com 1
9.1%
2023-12-13T07:09:34.077979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 23
 
12.3%
o 18
 
9.6%
r 16
 
8.6%
w 15
 
8.0%
t 10
 
5.3%
c 9
 
4.8%
e 9
 
4.8%
/ 8
 
4.3%
k 8
 
4.3%
h 7
 
3.7%
Other values (23) 64
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 141
75.4%
Other Punctuation 35
 
18.7%
Uppercase Letter 9
 
4.8%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 18
12.8%
r 16
11.3%
w 15
10.6%
t 10
 
7.1%
c 9
 
6.4%
e 9
 
6.4%
k 8
 
5.7%
h 7
 
5.0%
s 7
 
5.0%
p 7
 
5.0%
Other values (13) 35
24.8%
Uppercase Letter
ValueCountFrequency (%)
O 3
33.3%
M 2
22.2%
D 1
 
11.1%
N 1
 
11.1%
A 1
 
11.1%
C 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 23
65.7%
/ 8
 
22.9%
: 4
 
11.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 150
80.2%
Common 37
 
19.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 18
12.0%
r 16
 
10.7%
w 15
 
10.0%
t 10
 
6.7%
c 9
 
6.0%
e 9
 
6.0%
k 8
 
5.3%
h 7
 
4.7%
s 7
 
4.7%
p 7
 
4.7%
Other values (19) 44
29.3%
Common
ValueCountFrequency (%)
. 23
62.2%
/ 8
 
21.6%
: 4
 
10.8%
- 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 23
 
12.3%
o 18
 
9.6%
r 16
 
8.6%
w 15
 
8.0%
t 10
 
5.3%
c 9
 
4.8%
e 9
 
4.8%
/ 8
 
4.3%
k 8
 
4.3%
h 7
 
3.7%
Other values (23) 64
34.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2023-09-07 00:00:00
Maximum2023-09-07 00:00:00
2023-12-13T07:09:34.192385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:09:34.292675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T07:09:34.386006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증(Y)_지정(N)인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.0001.0000.0000.2341.0001.0001.0000.8610.6091.000
주된목적1.0000.0001.0001.0000.5250.0001.0001.0001.0000.8310.8671.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(Y)_지정(N)1.0000.0000.5251.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)일자1.0000.2340.0001.0001.0001.0001.0001.0001.0000.5820.7411.000
인증(지정)번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.8610.8311.0001.0000.5821.0001.0001.0001.0001.0001.000
소재지지번주소1.0000.6090.8671.0001.0000.7411.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T07:09:34.551715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증(Y)_지정(N)사회서비스분야주된목적
인증(Y)_지정(N)1.0000.0000.608
사회서비스분야0.0001.0000.000
주된목적0.6080.0001.000
2023-12-13T07:09:34.679459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증(Y)_지정(N)
사회서비스분야1.0000.0000.000
주된목적0.0001.0000.608
인증(Y)_지정(N)0.0000.6081.000

Missing values

2023-12-13T07:09:27.688372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:09:27.852819image/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.
2023-12-13T07:09:27.975566image/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

기관명사회서비스분야주된목적사업내용인증(Y)_지정(N)인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0재단법인 부산행복한학교재단기타사회서비스제공형방과후 학교지원사업Y2011-12-19제2011-109호최기건051-911-5161부산광역시 금정구 금정로233번길 31 (구서동)부산광역시 금정구 구서동 415-3http://bshappy-school.or.kr2023-09-07
1(주)파머스페이스기타일자리제공형못난이 농산물 재가공 판매Y2015-07-27제2015-132호서호정051-626-1042부산광역시 금정구 금강로 260 (장전동)부산광역시 금정구 장전동 420-25http://www.fspace.co.kr2023-09-07
2주식회사 그린솔루션기타일자리제공형친환경 생활용품 유통Y2012-06-22제2012-029호서세훈051-891-2827부산광역시 금정구 공단로 57 (금사동)부산광역시 금정구 금사동 70-7<NA>2023-09-07
3(주)우다다목공소기타지역사회공헌형원목가구 제조Y2017-11-16제2017-198호김재환051-508-7677부산광역시 금정구 체육공원로 648 (두구동)부산광역시 금정구 두구동 179-1<NA>2023-09-07
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