Overview

Dataset statistics

Number of variables15
Number of observations41
Missing cells94
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory124.2 B

Variable types

Text7
Categorical3
Boolean3
DateTime1
Unsupported1

Dataset

Description인천광역시 연수구_사회적 기업 현황에 대한 파일데이터로 연수구 관내 사회적기업 현황(기관명, 사회서비스 분야 등)에 대한 정보를 제공합니다
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15006764&srcSe=7661IVAWM27C61E190

Alerts

예비형태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
부처형태 is highly overall correlated with 주된목적High correlation
주된목적 is highly overall correlated with 부처형태High correlation
사회서비스분야 is highly imbalanced (50.2%)Imbalance
부처형태 is highly imbalanced (83.5%)Imbalance
인증(지정)여부 has 14 (34.1%) missing valuesMissing
전화번호 has 14 (34.1%) missing valuesMissing
소재지지번주소 has 25 (61.0%) missing valuesMissing
홈페이지주소 has 41 (100.0%) missing valuesMissing
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
인증(지정)번호 has unique valuesUnique
대표자명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-18 04:08:54.961799
Analysis finished2024-03-18 04:08:55.888703
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-18T13:08:56.042079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.5609756
Min length3

Characters and Unicode

Total characters310
Distinct characters121
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

Unique41 ?
Unique (%)100.0%

Sample

1st row(주)크린웰
2nd row송도에스이
3rd row해내기보호작업장
4th row(주)퓨전국악단 구름
5th row더케어
ValueCountFrequency (%)
주)크린웰 1
 
2.3%
송도에스이 1
 
2.3%
연 1
 
2.3%
주)왓츠더웨더 1
 
2.3%
주)아이리아 1
 
2.3%
주)나인와트 1
 
2.3%
티엔에스에이아이(주 1
 
2.3%
주)소금 1
 
2.3%
알브레인(주 1
 
2.3%
트렌디션(주 1
 
2.3%
Other values (34) 34
77.3%
2024-03-18T13:08:56.373598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 35
 
11.3%
) 35
 
11.3%
주 35
 
11.3%
스 11
 
3.5%
이 8
 
2.6%
트 7
 
2.3%
아 5
 
1.6%
더 5
 
1.6%
어 4
 
1.3%
리 4
 
1.3%
Other values (111) 161
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
76.5%
Open Punctuation 35
 
11.3%
Close Punctuation 35
 
11.3%
Space Separator 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
14.8%
스 11
 
4.6%
이 8
 
3.4%
트 7
 
3.0%
아 5
 
2.1%
더 5
 
2.1%
어 4
 
1.7%
리 4
 
1.7%
비 4
 
1.7%
포 4
 
1.7%
Other values (108) 150
63.3%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
76.5%
Common 73
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
14.8%
스 11
 
4.6%
이 8
 
3.4%
트 7
 
3.0%
아 5
 
2.1%
더 5
 
2.1%
어 4
 
1.7%
리 4
 
1.7%
비 4
 
1.7%
포 4
 
1.7%
Other values (108) 150
63.3%
Common
ValueCountFrequency (%)
( 35
47.9%
) 35
47.9%
3
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
76.5%
ASCII 73
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 35
47.9%
) 35
47.9%
3
 
4.1%
Hangul
ValueCountFrequency (%)
주 35
 
14.8%
스 11
 
4.6%
이 8
 
3.4%
트 7
 
3.0%
아 5
 
2.1%
더 5
 
2.1%
어 4
 
1.7%
리 4
 
1.7%
비 4
 
1.7%
포 4
 
1.7%
Other values (108) 150
63.3%

사회서비스분야
Categorical

IMBALANCE 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
기타
31 
환경
 
3
청소
 
2
교육서비스
 
2
예술·관광
 
1
Other values (2)
 
2

Length

Max length5
Median length2
Mean length2.2926829
Min length2

Unique

Unique3 ?
Unique (%)7.3%

Sample

1st row청소
2nd row환경
3rd row기타
4th row예술·관광
5th row기타

Common Values

ValueCountFrequency (%)
기타 31
75.6%
환경 3
 
7.3%
청소 2
 
4.9%
교육서비스 2
 
4.9%
예술·관광 1
 
2.4%
고용서비스 1
 
2.4%
예술 1
 
2.4%

Length

2024-03-18T13:08:56.491759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:08:56.604908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 31
75.6%
환경 3
 
7.3%
청소 2
 
4.9%
교육서비스 2
 
4.9%
예술·관광 1
 
2.4%
고용서비스 1
 
2.4%
예술 1
 
2.4%

주된목적
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
일자리제공형
19 
창의혁신형
12 
사회서비스제공형
6 
지역사회공헌형
2 
혼합형
 
1

Length

Max length8
Median length7
Mean length5.902439
Min length3

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
일자리제공형 19
46.3%
창의혁신형 12
29.3%
사회서비스제공형 6
 
14.6%
지역사회공헌형 2
 
4.9%
혼합형 1
 
2.4%
부처형 1
 
2.4%

Length

2024-03-18T13:08:56.714052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:08:56.810117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 19
46.3%
창의혁신형 12
29.3%
사회서비스제공형 6
 
14.6%
지역사회공헌형 2
 
4.9%
혼합형 1
 
2.4%
부처형 1
 
2.4%

사업내용
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-18T13:08:57.035190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length16
Min length6

Characters and Unicode

Total characters656
Distinct characters167
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row시설청소, 홈크리닝
2nd row미화관리, 주차관리, 사무지원
3rd row중증 장애인 고용 장갑, 화장지 생산
4th row국악공연 및 국악교육사업
5th row장애인 의료용품 복지용품 개발 및 유통
ValueCountFrequency (%)
및 18
 
10.9%
등 7
 
4.2%
서비스업 5
 
3.0%
교육 4
 
2.4%
스포츠 3
 
1.8%
개발 3
 
1.8%
영상 3
 
1.8%
사업 3
 
1.8%
기술 3
 
1.8%
관련 3
 
1.8%
Other values (107) 113
68.5%
2024-03-18T13:08:57.383308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
18.9%
, 29
 
4.4%
업 29
 
4.4%
스 21
 
3.2%
및 18
 
2.7%
교 16
 
2.4%
비 14
 
2.1%
서 13
 
2.0%
육 13
 
2.0%
소 9
 
1.4%
Other values (157) 370
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
75.5%
Space Separator 124
 
18.9%
Other Punctuation 31
 
4.7%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 29
 
5.9%
스 21
 
4.2%
및 18
 
3.6%
교 16
 
3.2%
비 14
 
2.8%
서 13
 
2.6%
육 13
 
2.6%
소 9
 
1.8%
사 9
 
1.8%
관 9
 
1.8%
Other values (150) 344
69.5%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
· 2
 
6.5%
Space Separator
ValueCountFrequency (%)
124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
75.5%
Common 160
 
24.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 29
 
5.9%
스 21
 
4.2%
및 18
 
3.6%
교 16
 
3.2%
비 14
 
2.8%
서 13
 
2.6%
육 13
 
2.6%
소 9
 
1.8%
사 9
 
1.8%
관 9
 
1.8%
Other values (150) 344
69.5%
Common
ValueCountFrequency (%)
124
77.5%
, 29
 
18.1%
· 2
 
1.2%
( 2
 
1.2%
) 2
 
1.2%
4 1
 
0.6%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
75.5%
ASCII 159
 
24.2%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
78.0%
, 29
 
18.2%
( 2
 
1.3%
) 2
 
1.3%
M 1
 
0.6%
4 1
 
0.6%
Hangul
ValueCountFrequency (%)
업 29
 
5.9%
스 21
 
4.2%
및 18
 
3.6%
교 16
 
3.2%
비 14
 
2.8%
서 13
 
2.6%
육 13
 
2.6%
소 9
 
1.8%
사 9
 
1.8%
관 9
 
1.8%
Other values (150) 344
69.5%
None
ValueCountFrequency (%)
· 2
100.0%

인증(지정)여부
Boolean

MISSING 

Distinct2
Distinct (%)7.4%
Missing14
Missing (%)34.1%
Memory size214.0 B
True
20 
False
7 
(Missing)
14 
ValueCountFrequency (%)
True 20
48.8%
False 7
 
17.1%
(Missing) 14
34.1%
2024-03-18T13:08:57.480080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예비형태
Boolean

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size173.0 B
True
41 
ValueCountFrequency (%)
True 41
100.0%
2024-03-18T13:08:57.551873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

부처형태
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size173.0 B
False
40 
True
 
1
ValueCountFrequency (%)
False 40
97.6%
True 1
 
2.4%
2024-03-18T13:08:57.636346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증(지정)일자
Date

Distinct28
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2010-12-22 00:00:00
Maximum2022-12-23 00:00:00
2024-03-18T13:08:57.737725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:08:57.846253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인증(지정)번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-18T13:08:58.012836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length11.268293
Min length9

Characters and Unicode

Total characters462
Distinct characters32
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

Unique41 ?
Unique (%)100.0%

Sample

1st row제2010-148호
2nd row제2010-151호
3rd row제2014-106호
4th row제2015-136호
5th row제2016-205호
ValueCountFrequency (%)
인천 14
 
23.7%
문화체육관광형 2
 
3.4%
제2010-148호 1
 
1.7%
제2021-10호 1
 
1.7%
고용노동부 1
 
1.7%
제2020-148호 1
 
1.7%
제2021-02호 1
 
1.7%
제2021-06호 1
 
1.7%
제2020-14호 1
 
1.7%
제2020-147호 1
 
1.7%
Other values (35) 35
59.3%
2024-03-18T13:08:58.372177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 84
18.2%
0 68
14.7%
1 54
11.7%
제 41
8.9%
- 41
8.9%
호 41
8.9%
18
 
3.9%
4 16
 
3.5%
인 14
 
3.0%
천 14
 
3.0%
Other values (22) 71
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 269
58.2%
Other Letter 134
29.0%
Dash Punctuation 41
 
8.9%
Space Separator 18
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 41
30.6%
호 41
30.6%
인 14
 
10.4%
천 14
 
10.4%
형 3
 
2.2%
관 2
 
1.5%
육 2
 
1.5%
체 2
 
1.5%
화 2
 
1.5%
문 2
 
1.5%
Other values (10) 11
 
8.2%
Decimal Number
ValueCountFrequency (%)
2 84
31.2%
0 68
25.3%
1 54
20.1%
4 16
 
5.9%
3 10
 
3.7%
9 10
 
3.7%
6 9
 
3.3%
5 8
 
3.0%
8 6
 
2.2%
7 4
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 328
71.0%
Hangul 134
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 41
30.6%
호 41
30.6%
인 14
 
10.4%
천 14
 
10.4%
형 3
 
2.2%
관 2
 
1.5%
육 2
 
1.5%
체 2
 
1.5%
화 2
 
1.5%
문 2
 
1.5%
Other values (10) 11
 
8.2%
Common
ValueCountFrequency (%)
2 84
25.6%
0 68
20.7%
1 54
16.5%
- 41
12.5%
18
 
5.5%
4 16
 
4.9%
3 10
 
3.0%
9 10
 
3.0%
6 9
 
2.7%
5 8
 
2.4%
Other values (2) 10
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 328
71.0%
Hangul 134
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 84
25.6%
0 68
20.7%
1 54
16.5%
- 41
12.5%
18
 
5.5%
4 16
 
4.9%
3 10
 
3.0%
9 10
 
3.0%
6 9
 
2.7%
5 8
 
2.4%
Other values (2) 10
 
3.0%
Hangul
ValueCountFrequency (%)
제 41
30.6%
호 41
30.6%
인 14
 
10.4%
천 14
 
10.4%
형 3
 
2.2%
관 2
 
1.5%
육 2
 
1.5%
체 2
 
1.5%
화 2
 
1.5%
문 2
 
1.5%
Other values (10) 11
 
8.2%

대표자명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-18T13:08:58.571234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.4878049
Min length2

Characters and Unicode

Total characters143
Distinct characters53
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

Unique41 ?
Unique (%)100.0%

Sample

1st row박*윤
2nd row이*운
3rd row황*주
4th row김*화
5th row김*
ValueCountFrequency (%)
박*윤 1
 
2.2%
고*성 1
 
2.2%
문*린 1
 
2.2%
김*록 1
 
2.2%
태*호 1
 
2.2%
김*현 1
 
2.2%
신*아 1
 
2.2%
김*찬 1
 
2.2%
김*진 1
 
2.2%
백*희 1
 
2.2%
Other values (35) 35
77.8%
2024-03-18T13:08:58.868525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 47
32.9%
김 12
 
8.4%
이 7
 
4.9%
, 4
 
2.8%
4
 
2.8%
정 3
 
2.1%
연 3
 
2.1%
박 3
 
2.1%
운 3
 
2.1%
최 2
 
1.4%
Other values (43) 55
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
61.5%
Other Punctuation 51
35.7%
Space Separator 4
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
13.6%
이 7
 
8.0%
정 3
 
3.4%
연 3
 
3.4%
박 3
 
3.4%
운 3
 
3.4%
최 2
 
2.3%
문 2
 
2.3%
호 2
 
2.3%
영 2
 
2.3%
Other values (40) 49
55.7%
Other Punctuation
ValueCountFrequency (%)
* 47
92.2%
, 4
 
7.8%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88
61.5%
Common 55
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
13.6%
이 7
 
8.0%
정 3
 
3.4%
연 3
 
3.4%
박 3
 
3.4%
운 3
 
3.4%
최 2
 
2.3%
문 2
 
2.3%
호 2
 
2.3%
영 2
 
2.3%
Other values (40) 49
55.7%
Common
ValueCountFrequency (%)
* 47
85.5%
, 4
 
7.3%
4
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88
61.5%
ASCII 55
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 47
85.5%
, 4
 
7.3%
4
 
7.3%
Hangul
ValueCountFrequency (%)
김 12
 
13.6%
이 7
 
8.0%
정 3
 
3.4%
연 3
 
3.4%
박 3
 
3.4%
운 3
 
3.4%
최 2
 
2.3%
문 2
 
2.3%
호 2
 
2.3%
영 2
 
2.3%
Other values (40) 49
55.7%

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing14
Missing (%)34.1%
Memory size460.0 B
2024-03-18T13:08:59.041447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.185185
Min length12

Characters and Unicode

Total characters329
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

Unique27 ?
Unique (%)100.0%

Sample

1st row032-816-9798
2nd row032-200-2704
3rd row032-833-7074
4th row032-626-0681
5th row032-221-8275
ValueCountFrequency (%)
032-816-9798 1
 
3.7%
070-8288-7997 1
 
3.7%
032-200-2704 1
 
3.7%
032-818-4080 1
 
3.7%
070-5033-7502 1
 
3.7%
032-833-9422 1
 
3.7%
032-834-7037 1
 
3.7%
070-8866-7226 1
 
3.7%
032-831-7412 1
 
3.7%
031-533-7770 1
 
3.7%
Other values (17) 17
63.0%
2024-03-18T13:08:59.312681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
17.9%
- 54
16.4%
3 44
13.4%
2 43
13.1%
8 31
9.4%
7 26
7.9%
1 17
 
5.2%
4 17
 
5.2%
6 13
 
4.0%
9 13
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 275
83.6%
Dash Punctuation 54
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
21.5%
3 44
16.0%
2 43
15.6%
8 31
11.3%
7 26
9.5%
1 17
 
6.2%
4 17
 
6.2%
6 13
 
4.7%
9 13
 
4.7%
5 12
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
17.9%
- 54
16.4%
3 44
13.4%
2 43
13.1%
8 31
9.4%
7 26
7.9%
1 17
 
5.2%
4 17
 
5.2%
6 13
 
4.0%
9 13
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
17.9%
- 54
16.4%
3 44
13.4%
2 43
13.1%
8 31
9.4%
7 26
7.9%
1 17
 
5.2%
4 17
 
5.2%
6 13
 
4.0%
9 13
 
4.0%

소재지도로명주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-18T13:08:59.510193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length29.512195
Min length18

Characters and Unicode

Total characters1210
Distinct characters120
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

Unique41 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 청능대로 53번길 24-7
2nd row인천광역시 연수구 송도과학로 100
3rd row인천광역시 연수구 앵고개로 130
4th row인천광역시 연수구 송도문화로 119, 운영재단 1041호
5th row인천광역시 연수구 새말로 56번길 3, 지층
ValueCountFrequency (%)
인천광역시 41
 
17.9%
연수구 41
 
17.9%
119 5
 
2.2%
송도문화로 5
 
2.2%
송도과학로 3
 
1.3%
1층 3
 
1.3%
인천타워대로 3
 
1.3%
23층 2
 
0.9%
갯벌로 2
 
0.9%
12 2
 
0.9%
Other values (110) 122
53.3%
2024-03-18T13:08:59.820023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
15.6%
1 60
 
5.0%
0 48
 
4.0%
인 48
 
4.0%
천 47
 
3.9%
시 43
 
3.6%
로 43
 
3.6%
연 42
 
3.5%
수 42
 
3.5%
광 42
 
3.5%
Other values (110) 606
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 677
56.0%
Decimal Number 261
 
21.6%
Space Separator 189
 
15.6%
Other Punctuation 41
 
3.4%
Uppercase Letter 24
 
2.0%
Dash Punctuation 7
 
0.6%
Open Punctuation 5
 
0.4%
Close Punctuation 5
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 48
 
7.1%
천 47
 
6.9%
시 43
 
6.4%
로 43
 
6.4%
연 42
 
6.2%
수 42
 
6.2%
광 42
 
6.2%
역 41
 
6.1%
구 41
 
6.1%
호 29
 
4.3%
Other values (82) 259
38.3%
Uppercase Letter
ValueCountFrequency (%)
B 8
33.3%
C 3
 
12.5%
A 2
 
8.3%
E 2
 
8.3%
S 2
 
8.3%
R 1
 
4.2%
I 1
 
4.2%
V 1
 
4.2%
D 1
 
4.2%
F 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 60
23.0%
0 48
18.4%
2 35
13.4%
3 31
11.9%
5 23
 
8.8%
9 17
 
6.5%
4 16
 
6.1%
6 16
 
6.1%
7 11
 
4.2%
8 4
 
1.5%
Space Separator
ValueCountFrequency (%)
189
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 677
56.0%
Common 508
42.0%
Latin 25
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 48
 
7.1%
천 47
 
6.9%
시 43
 
6.4%
로 43
 
6.4%
연 42
 
6.2%
수 42
 
6.2%
광 42
 
6.2%
역 41
 
6.1%
구 41
 
6.1%
호 29
 
4.3%
Other values (82) 259
38.3%
Common
ValueCountFrequency (%)
189
37.2%
1 60
 
11.8%
0 48
 
9.4%
, 41
 
8.1%
2 35
 
6.9%
3 31
 
6.1%
5 23
 
4.5%
9 17
 
3.3%
4 16
 
3.1%
6 16
 
3.1%
Other values (5) 32
 
6.3%
Latin
ValueCountFrequency (%)
B 8
32.0%
C 3
 
12.0%
A 2
 
8.0%
E 2
 
8.0%
S 2
 
8.0%
R 1
 
4.0%
e 1
 
4.0%
I 1
 
4.0%
V 1
 
4.0%
D 1
 
4.0%
Other values (3) 3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 677
56.0%
ASCII 533
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
35.5%
1 60
 
11.3%
0 48
 
9.0%
, 41
 
7.7%
2 35
 
6.6%
3 31
 
5.8%
5 23
 
4.3%
9 17
 
3.2%
4 16
 
3.0%
6 16
 
3.0%
Other values (18) 57
 
10.7%
Hangul
ValueCountFrequency (%)
인 48
 
7.1%
천 47
 
6.9%
시 43
 
6.4%
로 43
 
6.4%
연 42
 
6.2%
수 42
 
6.2%
광 42
 
6.2%
역 41
 
6.1%
구 41
 
6.1%
호 29
 
4.3%
Other values (82) 259
38.3%

소재지지번주소
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing25
Missing (%)61.0%
Memory size460.0 B
2024-03-18T13:08:59.995671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.6875
Min length17

Characters and Unicode

Total characters299
Distinct characters28
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

Unique16 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 청학동 488-8
2nd row인천광역시 연수구 송도동 180-1
3rd row인천광역시 연수구 동춘동 778-1
4th row인천광역시 연수구 송도동 188
5th row인천광역시 연수구 연수동 565
ValueCountFrequency (%)
인천광역시 16
25.0%
연수구 16
25.0%
송도동 5
 
7.8%
동춘동 5
 
7.8%
청학동 3
 
4.7%
연수동 2
 
3.1%
315-3 1
 
1.6%
496-4 1
 
1.6%
21-38 1
 
1.6%
568-15 1
 
1.6%
Other values (13) 13
20.3%
2024-03-18T13:09:00.248283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
16.1%
동 21
 
7.0%
연 18
 
6.0%
수 18
 
6.0%
인 16
 
5.4%
광 16
 
5.4%
역 16
 
5.4%
시 16
 
5.4%
구 16
 
5.4%
천 16
 
5.4%
Other values (18) 98
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
58.9%
Decimal Number 61
 
20.4%
Space Separator 48
 
16.1%
Dash Punctuation 14
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
11.9%
연 18
10.2%
수 18
10.2%
인 16
9.1%
광 16
9.1%
역 16
9.1%
시 16
9.1%
구 16
9.1%
천 16
9.1%
도 5
 
2.8%
Other values (6) 18
10.2%
Decimal Number
ValueCountFrequency (%)
1 12
19.7%
8 10
16.4%
3 7
11.5%
6 7
11.5%
5 6
9.8%
2 6
9.8%
4 6
9.8%
9 3
 
4.9%
0 2
 
3.3%
7 2
 
3.3%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
58.9%
Common 123
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
11.9%
연 18
10.2%
수 18
10.2%
인 16
9.1%
광 16
9.1%
역 16
9.1%
시 16
9.1%
구 16
9.1%
천 16
9.1%
도 5
 
2.8%
Other values (6) 18
10.2%
Common
ValueCountFrequency (%)
48
39.0%
- 14
 
11.4%
1 12
 
9.8%
8 10
 
8.1%
3 7
 
5.7%
6 7
 
5.7%
5 6
 
4.9%
2 6
 
4.9%
4 6
 
4.9%
9 3
 
2.4%
Other values (2) 4
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
58.9%
ASCII 123
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
39.0%
- 14
 
11.4%
1 12
 
9.8%
8 10
 
8.1%
3 7
 
5.7%
6 7
 
5.7%
5 6
 
4.9%
2 6
 
4.9%
4 6
 
4.9%
9 3
 
2.4%
Other values (2) 4
 
3.3%
Hangul
ValueCountFrequency (%)
동 21
11.9%
연 18
10.2%
수 18
10.2%
인 16
9.1%
광 16
9.1%
역 16
9.1%
시 16
9.1%
구 16
9.1%
천 16
9.1%
도 5
 
2.8%
Other values (6) 18
10.2%

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-03-31
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-31
2nd row2023-03-31
3rd row2023-03-31
4th row2023-03-31
5th row2023-03-31

Common Values

ValueCountFrequency (%)
2023-03-31 41
100.0%

Length

2024-03-18T13:09:00.369033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:09:00.473911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-31 41
100.0%

Correlations

2024-03-18T13:09:00.549345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증(지정)여부부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.3161.0000.0000.4170.0001.0001.0001.0001.0001.000
주된목적1.0000.3161.0001.0000.6991.0000.8661.0001.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)여부1.0000.0000.6991.0001.0000.0001.0001.0001.0001.0001.0001.000
부처형태1.0000.4171.0001.0000.0001.0000.0001.0001.0001.0001.000NaN
인증(지정)일자1.0000.0000.8661.0001.0000.0001.0001.0001.0001.0001.0001.000
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
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.000NaN1.0001.0001.0001.0001.0001.000
2024-03-18T13:09:00.669597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부처형태주된목적사회서비스분야인증(지정)여부
부처형태1.0000.9470.4130.000
주된목적0.9471.0000.1810.466
사회서비스분야0.4130.1811.0000.000
인증(지정)여부0.0000.4660.0001.000
2024-03-18T13:09:00.760846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증(지정)여부부처형태
사회서비스분야1.0000.1810.0000.413
주된목적0.1811.0000.4660.947
인증(지정)여부0.0000.4661.0000.000
부처형태0.4130.9470.0001.000

Missing values

2024-03-18T13:08:55.551609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:08:55.729466image/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.
2024-03-18T13:08:55.842207image/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(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0(주)크린웰청소일자리제공형시설청소, 홈크리닝YYN2010-12-22제2010-148호박*윤032-816-9798인천광역시 연수구 청능대로 53번길 24-7인천광역시 연수구 청학동 488-8<NA>2023-03-31
1송도에스이환경일자리제공형미화관리, 주차관리, 사무지원YYN2010-12-22제2010-151호이*운032-200-2704인천광역시 연수구 송도과학로 100인천광역시 연수구 송도동 180-1<NA>2023-03-31
2해내기보호작업장기타일자리제공형중증 장애인 고용 장갑, 화장지 생산YYN2014-06-30제2014-106호황*주032-833-7074인천광역시 연수구 앵고개로 130인천광역시 연수구 동춘동 778-1<NA>2023-03-31
3(주)퓨전국악단 구름예술·관광사회서비스제공형국악공연 및 국악교육사업YYN2015-07-27제2015-136호김*화032-626-0681인천광역시 연수구 송도문화로 119, 운영재단 1041호인천광역시 연수구 송도동 188<NA>2023-03-31
4더케어기타혼합형장애인 의료용품 복지용품 개발 및 유통YYN2016-04-16제2016-205호김*032-221-8275인천광역시 연수구 새말로 56번길 3, 지층인천광역시 연수구 연수동 565<NA>2023-03-31
5자연과창의성(주)기타지역사회공헌형천연염색, 창의성 교육YYN2016-11-07제2016-208호이*경032-428-0333인천광역시 연수구 컨벤시아대로 60, 2단지 207호인천광역시 연수구 동춘동 820-16<NA>2023-03-31
6(주)엔젤푸드기타일자리제공형저염식 아기반찬 제조YYN2017-11-16제2017-211호송*숙032-812-1279인천광역시 연수구 청능대로23번길 11, LF스퀘어 3층인천광역시 연수구 청학동 463-6<NA>2023-03-31
7나우종합관리(주)청소일자리제공형청소업, 서비스업 및 도소매업 등YYN2018-11-06제2018-237호홍*옥032-851-5949인천광역시 연수구 앵고개로 250, 702-1인천광역시 연수구 동춘동 936-1<NA>2023-03-31
8노아하우징쿱협동조합환경지역사회공헌형건설업, 에너지효율화사업, 시설물 개보수YYN2017-07-28제2019-215호주*근032-833-0130인천광역시 연수구 비류대로 220, 2층인천광역시 연수구 옥련동 315-3<NA>2023-03-31
9(주)미래서비스고용서비스사회서비스제공형창업보육, 컨설팅, 취업연계 및 직무역량 교육YYN2018-08-28제2020-328호이*연032-873-0051인천광역시 연수구 벚꽃로 106, 504호인천광역시 연수구 청학동 496-4<NA>2023-03-31
기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
31(주)하임코리아기타창의혁신형종교용 가구 제조 및 판매, 공연사업<NA>YN2021-11-01인천 제2021-11호이*호<NA>인천광역시 연수구 인천타워대로 323, B동 30층 V498호<NA><NA>2023-03-31
32화이트어비스(주)기타일자리제공형예술심리상담<NA>YN2021-11-01인천 제2021-12호오*미<NA>인천광역시 연수구 인천타워대로 54번길 3, 502,503호<NA><NA>2023-03-31
33(주)커넥트휴먼기타일자리제공형스포츠 교육지도서비스, 이벤트 기획·개최 등<NA>YN2021-12-13문화체육관광형 제2021-15호김*운<NA>인천광역시 연수구 송도미래로 30,E동 802 에프13<NA><NA>2023-03-31
34어니스트케이푸드(주)기타창의혁신형쿠킹클래스 등 요리 관련 교육 사업<NA>YN2021-12-30제2021-044호이*진<NA>인천광역시 연수구 능허대로 179번길 43, 에이동 1층<NA><NA>2023-03-31
35(주)웰로기타창의혁신형전문,과학 및 기술 서비스업<NA>YN2021-12-30제2021-059호김***나<NA>인천광역시 연수구 송도문화로119인천글로벌캠퍼스B1006<NA><NA>2023-03-31
36(주)더코어플러스기타일자리제공형냉난방기 유지보수 서비스<NA>YN2022-11-01인천 제2022-10호박*영<NA>인천광역시 연수구 송도미래로30, D동 1407호<NA><NA>2023-03-31
37비티고(주)기타창의혁신형전통시장 배달 플랫폼서비스<NA>YN2022-11-01인천 제2022-11호최*익<NA>인천광역시 연수구 갯벌로12, 미추홀캠퍼스 B동 413호,414호<NA><NA>2023-03-31
38(주)원스파크기타창의혁신형정보통신업, 교육서비스<NA>YN2022-12-09제2022-139호정*, 정*운<NA>인천광역시 연수구 센트럴로194,C동302호<NA><NA>2023-03-31
39리포츠(주)기타창의혁신형예술,스포츠 및 여가관련 서비스업<NA>YN2022-12-23문화체육관광형 제2022-46호변*지<NA>인천광역시 연수구 송도문화로 119 지원센터동 B1041-5,6<NA><NA>2023-03-31
40(주)지구본기타일자리제공형숙박 및 음식점업<NA>YN2022-12-09제2022-19호홍*정<NA>인천광역시 연수구 송도과학로56105호<NA><NA>2023-03-31