Overview

Dataset statistics

Number of variables10
Number of observations35
Missing cells21
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory85.8 B

Variable types

Text6
Categorical2
Numeric2

Dataset

Description연수구 관내 노동조합 인허가번호, 민원구분, 영업상태, 노동조합단체명, 사업자명, 소속단체명, 노동조합주소지, 대표자명, 전체근로자수, 전체조합원수
URLhttps://www.data.go.kr/data/15039266/fileData.do

Alerts

영업상태 has constant value ""Constant
전체근로자수 is highly overall correlated with 전체조합원수High correlation
전체조합원수 is highly overall correlated with 전체근로자수High correlation
사업장명 has 6 (17.1%) missing valuesMissing
소속단체명 has 15 (42.9%) missing valuesMissing
인허가번호 has unique valuesUnique
전체근로자수 has 4 (11.4%) zerosZeros
전체조합원수 has 2 (5.7%) zerosZeros

Reproduction

Analysis started2023-12-12 17:37:53.592187
Analysis finished2023-12-12 17:37:55.657669
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:37:55.893645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters805
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

Unique35 ?
Unique (%)100.0%

Sample

1st row2023-3520203-26-1-00005
2nd row2023-3520203-26-1-00004
3rd row2023-3520203-26-1-00003
4th row2023-3520203-26-1-00002
5th row2023-3520203-26-1-00001
ValueCountFrequency (%)
2023-3520203-26-1-00005 1
 
2.9%
2019-3520175-26-1-00010 1
 
2.9%
2019-3520175-26-1-00007 1
 
2.9%
2019-3520175-26-1-00006 1
 
2.9%
2019-3520175-26-1-00005 1
 
2.9%
2019-3520175-26-1-00004 1
 
2.9%
2019-3520175-26-1-00003 1
 
2.9%
2019-3520175-26-1-00002 1
 
2.9%
2019-3520175-26-1-00009 1
 
2.9%
2018-3520125-26-1-00001 1
 
2.9%
Other values (25) 25
71.4%
2023-12-13T02:37:56.384051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 234
29.1%
2 145
18.0%
- 140
17.4%
1 94
11.7%
5 66
 
8.2%
3 51
 
6.3%
6 40
 
5.0%
7 19
 
2.4%
9 10
 
1.2%
4 4
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 665
82.6%
Dash Punctuation 140
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 234
35.2%
2 145
21.8%
1 94
14.1%
5 66
 
9.9%
3 51
 
7.7%
6 40
 
6.0%
7 19
 
2.9%
9 10
 
1.5%
4 4
 
0.6%
8 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 234
29.1%
2 145
18.0%
- 140
17.4%
1 94
11.7%
5 66
 
8.2%
3 51
 
6.3%
6 40
 
5.0%
7 19
 
2.4%
9 10
 
1.2%
4 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 234
29.1%
2 145
18.0%
- 140
17.4%
1 94
11.7%
5 66
 
8.2%
3 51
 
6.3%
6 40
 
5.0%
7 19
 
2.4%
9 10
 
1.2%
4 4
 
0.5%

민원구분
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
노동조합변경신고
16 
노동조합설립신고
11 
노동조합재교부신고
8 

Length

Max length9
Median length8
Mean length8.2285714
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노동조합설립신고
2nd row노동조합설립신고
3rd row노동조합설립신고
4th row노동조합변경신고
5th row노동조합설립신고

Common Values

ValueCountFrequency (%)
노동조합변경신고 16
45.7%
노동조합설립신고 11
31.4%
노동조합재교부신고 8
22.9%

Length

2023-12-13T02:37:56.575217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:56.742424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노동조합변경신고 16
45.7%
노동조합설립신고 11
31.4%
노동조합재교부신고 8
22.9%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업중
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 35
100.0%

Length

2023-12-13T02:37:56.884640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:56.997185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 35
100.0%

노동조합단체명
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:37:57.214010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length13.057143
Min length6

Characters and Unicode

Total characters457
Distinct characters122
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st row케이시큐리티 노동조합
2nd row삼성바이오로직스 상생노동조합
3rd row연세대국제캠퍼스노동조합
4th row연수구시설안전관리공단 공정과 상식 노동조합
5th row만세코리아 노동조합
ValueCountFrequency (%)
노동조합 18
29.5%
제일노동조합 2
 
3.3%
기업노동조합 1
 
1.6%
일반지역노동조합 1
 
1.6%
에이치엘클레무브 1
 
1.6%
인천적십자혈액원노동조합 1
 
1.6%
선광신컨테이너터미널(주 1
 
1.6%
인천관광공사 1
 
1.6%
은성환경 1
 
1.6%
인천글로벌캠퍼스운영재단노동조합 1
 
1.6%
Other values (33) 33
54.1%
2023-12-13T02:37:57.692606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 39
 
8.5%
합 39
 
8.5%
노 38
 
8.3%
조 37
 
8.1%
26
 
5.7%
인 11
 
2.4%
천 10
 
2.2%
스 9
 
2.0%
이 8
 
1.8%
) 7
 
1.5%
Other values (112) 233
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
90.4%
Space Separator 26
 
5.7%
Close Punctuation 7
 
1.5%
Open Punctuation 7
 
1.5%
Uppercase Letter 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
9.4%
합 39
 
9.4%
노 38
 
9.2%
조 37
 
9.0%
인 11
 
2.7%
천 10
 
2.4%
스 9
 
2.2%
이 8
 
1.9%
주 6
 
1.5%
대 6
 
1.5%
Other values (105) 210
50.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
I 1
25.0%
J 1
25.0%
H 1
25.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
90.4%
Common 40
 
8.8%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
9.4%
합 39
 
9.4%
노 38
 
9.2%
조 37
 
9.0%
인 11
 
2.7%
천 10
 
2.4%
스 9
 
2.2%
이 8
 
1.9%
주 6
 
1.5%
대 6
 
1.5%
Other values (105) 210
50.8%
Latin
ValueCountFrequency (%)
T 1
25.0%
I 1
25.0%
J 1
25.0%
H 1
25.0%
Common
ValueCountFrequency (%)
26
65.0%
) 7
 
17.5%
( 7
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
90.4%
ASCII 44
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 39
 
9.4%
합 39
 
9.4%
노 38
 
9.2%
조 37
 
9.0%
인 11
 
2.7%
천 10
 
2.4%
스 9
 
2.2%
이 8
 
1.9%
주 6
 
1.5%
대 6
 
1.5%
Other values (105) 210
50.8%
ASCII
ValueCountFrequency (%)
26
59.1%
) 7
 
15.9%
( 7
 
15.9%
T 1
 
2.3%
I 1
 
2.3%
J 1
 
2.3%
H 1
 
2.3%

사업장명
Text

MISSING 

Distinct27
Distinct (%)93.1%
Missing6
Missing (%)17.1%
Memory size412.0 B
2023-12-13T02:37:57.941053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.5517241
Min length4

Characters and Unicode

Total characters219
Distinct characters101
Distinct categories5 ?
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 (%)86.2%

Sample

1st row한국가스공사인천본부
2nd row만세코리아
3rd row이원의료재단
4th row(주)한국검수
5th row나우시스템즈
ValueCountFrequency (%)
선우티엔스(주 2
 
6.9%
이원의료재단 2
 
6.9%
인천종합에너지(주 1
 
3.4%
한국가스공사인천본부 1
 
3.4%
인천대학교 1
 
3.4%
인천적십자혈액원 1
 
3.4%
선광신컨테이너터미널(주 1
 
3.4%
인천관광공사 1
 
3.4%
주)은성환경 1
 
3.4%
인천글로벌캠퍼스운영재단 1
 
3.4%
Other values (17) 17
58.6%
2023-12-13T02:37:58.343371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 11
 
5.0%
) 11
 
5.0%
주 10
 
4.6%
인 10
 
4.6%
천 8
 
3.7%
스 6
 
2.7%
대 5
 
2.3%
사 5
 
2.3%
우 5
 
2.3%
원 4
 
1.8%
Other values (91) 144
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194
88.6%
Open Punctuation 11
 
5.0%
Close Punctuation 11
 
5.0%
Uppercase Letter 2
 
0.9%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
5.2%
인 10
 
5.2%
천 8
 
4.1%
스 6
 
3.1%
대 5
 
2.6%
사 5
 
2.6%
우 5
 
2.6%
원 4
 
2.1%
도 4
 
2.1%
운 4
 
2.1%
Other values (86) 133
68.6%
Uppercase Letter
ValueCountFrequency (%)
Y 1
50.0%
T 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194
88.6%
Common 23
 
10.5%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
5.2%
인 10
 
5.2%
천 8
 
4.1%
스 6
 
3.1%
대 5
 
2.6%
사 5
 
2.6%
우 5
 
2.6%
원 4
 
2.1%
도 4
 
2.1%
운 4
 
2.1%
Other values (86) 133
68.6%
Common
ValueCountFrequency (%)
( 11
47.8%
) 11
47.8%
/ 1
 
4.3%
Latin
ValueCountFrequency (%)
Y 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194
88.6%
ASCII 25
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 11
44.0%
) 11
44.0%
Y 1
 
4.0%
/ 1
 
4.0%
T 1
 
4.0%
Hangul
ValueCountFrequency (%)
주 10
 
5.2%
인 10
 
5.2%
천 8
 
4.1%
스 6
 
3.1%
대 5
 
2.6%
사 5
 
2.6%
우 5
 
2.6%
원 4
 
2.1%
도 4
 
2.1%
운 4
 
2.1%
Other values (86) 133
68.6%

소속단체명
Text

MISSING 

Distinct15
Distinct (%)75.0%
Missing15
Missing (%)42.9%
Memory size412.0 B
2023-12-13T02:37:58.541210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.4
Min length2

Characters and Unicode

Total characters168
Distinct characters51
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

Unique13 ?
Unique (%)65.0%

Sample

1st row한국노총 전국연합노동조합연맹
2nd row한국노총 의료노련
3rd row전국연합노동조합연맹
4th row나우시스템즈 노동조합
5th row푸른두레생협
ValueCountFrequency (%)
전국연합노동조합연맹 5
20.0%
한국노총 3
12.0%
상급단체미가입 3
12.0%
미가입 1
 
4.0%
한)의료산업노련 1
 
4.0%
연맹 1
 
4.0%
전국연합노동조합 1
 
4.0%
공공노동조합연맹 1
 
4.0%
민)인천지역본부 1
 
4.0%
전국공공노동조합연맹 1
 
4.0%
Other values (7) 7
28.0%
2023-12-13T02:37:58.909709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 16
 
9.5%
합 15
 
8.9%
연 14
 
8.3%
국 10
 
6.0%
동 9
 
5.4%
조 9
 
5.4%
맹 8
 
4.8%
전 7
 
4.2%
5
 
3.0%
한 5
 
3.0%
Other values (41) 70
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
94.6%
Space Separator 5
 
3.0%
Close Punctuation 3
 
1.8%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 16
 
10.1%
합 15
 
9.4%
연 14
 
8.8%
국 10
 
6.3%
동 9
 
5.7%
조 9
 
5.7%
맹 8
 
5.0%
전 7
 
4.4%
한 5
 
3.1%
가 4
 
2.5%
Other values (38) 62
39.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
94.6%
Common 9
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 16
 
10.1%
합 15
 
9.4%
연 14
 
8.8%
국 10
 
6.3%
동 9
 
5.7%
조 9
 
5.7%
맹 8
 
5.0%
전 7
 
4.4%
한 5
 
3.1%
가 4
 
2.5%
Other values (38) 62
39.0%
Common
ValueCountFrequency (%)
5
55.6%
) 3
33.3%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
94.6%
ASCII 9
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 16
 
10.1%
합 15
 
9.4%
연 14
 
8.8%
국 10
 
6.3%
동 9
 
5.7%
조 9
 
5.7%
맹 8
 
5.0%
전 7
 
4.4%
한 5
 
3.1%
가 4
 
2.5%
Other values (38) 62
39.0%
ASCII
ValueCountFrequency (%)
5
55.6%
) 3
33.3%
( 1
 
11.1%

노동조합주소
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:37:59.234841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length36.771429
Min length21

Characters and Unicode

Total characters1287
Distinct characters157
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

Unique29 ?
Unique (%)82.9%

Sample

1st row인천광역시 연수구 인천신항대로 1100 (송도동)
2nd row인천광역시 연수구 송도바이오대로 300 삼성바이오로직스 (송도동)
3rd row인천광역시 연수구 송도과학로 85 연세대학교 국제캠퍼스 (송도동)
4th row인천광역시 연수구 봉재산로54번길 30 연수구 국제언어체험센터 4층 (동춘동)
5th row인천광역시 연수구 송도미래로 30 송도 BRC 스마트밸리 지식산업센터 D동 9층 910호 (송도동)
ValueCountFrequency (%)
연수구 35
 
14.6%
인천광역시 34
 
14.2%
송도동 23
 
9.6%
인천신항대로 5
 
2.1%
송도 5
 
2.1%
동춘동 5
 
2.1%
인천타워대로 4
 
1.7%
707 3
 
1.2%
선광신컨테이너터미널 3
 
1.2%
323 3
 
1.2%
Other values (100) 120
50.0%
2023-12-13T02:37:59.741907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
18.3%
동 50
 
3.9%
인 49
 
3.8%
천 48
 
3.7%
연 40
 
3.1%
로 39
 
3.0%
수 39
 
3.0%
도 38
 
3.0%
송 37
 
2.9%
시 37
 
2.9%
Other values (147) 674
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 811
63.0%
Space Separator 236
 
18.3%
Decimal Number 158
 
12.3%
Close Punctuation 35
 
2.7%
Open Punctuation 35
 
2.7%
Uppercase Letter 10
 
0.8%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
6.2%
인 49
 
6.0%
천 48
 
5.9%
연 40
 
4.9%
로 39
 
4.8%
수 39
 
4.8%
도 38
 
4.7%
송 37
 
4.6%
시 37
 
4.6%
광 37
 
4.6%
Other values (126) 397
49.0%
Decimal Number
ValueCountFrequency (%)
2 33
20.9%
1 28
17.7%
0 22
13.9%
3 17
10.8%
4 12
 
7.6%
9 12
 
7.6%
7 12
 
7.6%
6 9
 
5.7%
5 8
 
5.1%
8 5
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
B 3
30.0%
E 1
 
10.0%
D 1
 
10.0%
R 1
 
10.0%
A 1
 
10.0%
Space Separator
ValueCountFrequency (%)
236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 811
63.0%
Common 466
36.2%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
6.2%
인 49
 
6.0%
천 48
 
5.9%
연 40
 
4.9%
로 39
 
4.8%
수 39
 
4.8%
도 38
 
4.7%
송 37
 
4.6%
시 37
 
4.6%
광 37
 
4.6%
Other values (126) 397
49.0%
Common
ValueCountFrequency (%)
236
50.6%
) 35
 
7.5%
( 35
 
7.5%
2 33
 
7.1%
1 28
 
6.0%
0 22
 
4.7%
3 17
 
3.6%
4 12
 
2.6%
9 12
 
2.6%
7 12
 
2.6%
Other values (5) 24
 
5.2%
Latin
ValueCountFrequency (%)
C 3
30.0%
B 3
30.0%
E 1
 
10.0%
D 1
 
10.0%
R 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 811
63.0%
ASCII 476
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
49.6%
) 35
 
7.4%
( 35
 
7.4%
2 33
 
6.9%
1 28
 
5.9%
0 22
 
4.6%
3 17
 
3.6%
4 12
 
2.5%
9 12
 
2.5%
7 12
 
2.5%
Other values (11) 34
 
7.1%
Hangul
ValueCountFrequency (%)
동 50
 
6.2%
인 49
 
6.0%
천 48
 
5.9%
연 40
 
4.9%
로 39
 
4.8%
수 39
 
4.8%
도 38
 
4.7%
송 37
 
4.6%
시 37
 
4.6%
광 37
 
4.6%
Other values (126) 397
49.0%

대표자명
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T02:37:59.964091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters105
Distinct characters62
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

Unique33 ?
Unique (%)94.3%

Sample

1st row최재우
2nd row박재성
3rd row윤현모
4th row박노진
5th row김성만
ValueCountFrequency (%)
곽은미 2
 
5.7%
이재성 1
 
2.9%
박덕현 1
 
2.9%
선종화 1
 
2.9%
김준홍 1
 
2.9%
이덕구 1
 
2.9%
박흥식 1
 
2.9%
이성주 1
 
2.9%
조대형 1
 
2.9%
장동범 1
 
2.9%
Other values (24) 24
68.6%
2023-12-13T02:38:00.298636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 6
 
5.7%
김 5
 
4.8%
박 5
 
4.8%
성 4
 
3.8%
재 3
 
2.9%
선 3
 
2.9%
정 3
 
2.9%
철 3
 
2.9%
영 3
 
2.9%
곽 2
 
1.9%
Other values (52) 68
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6
 
5.7%
김 5
 
4.8%
박 5
 
4.8%
성 4
 
3.8%
재 3
 
2.9%
선 3
 
2.9%
정 3
 
2.9%
철 3
 
2.9%
영 3
 
2.9%
곽 2
 
1.9%
Other values (52) 68
64.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6
 
5.7%
김 5
 
4.8%
박 5
 
4.8%
성 4
 
3.8%
재 3
 
2.9%
선 3
 
2.9%
정 3
 
2.9%
철 3
 
2.9%
영 3
 
2.9%
곽 2
 
1.9%
Other values (52) 68
64.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 6
 
5.7%
김 5
 
4.8%
박 5
 
4.8%
성 4
 
3.8%
재 3
 
2.9%
선 3
 
2.9%
정 3
 
2.9%
철 3
 
2.9%
영 3
 
2.9%
곽 2
 
1.9%
Other values (52) 68
64.8%

전체근로자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.2
Minimum0
Maximum5700
Zeros4
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T02:38:00.427988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125.5
median88
Q3211
95-th percentile772.2
Maximum5700
Range5700
Interquartile range (IQR)185.5

Descriptive statistics

Standard deviation962.45207
Coefficient of variation (CV)3.1127169
Kurtosis31.281365
Mean309.2
Median Absolute Deviation (MAD)65
Skewness5.4876636
Sum10822
Variance926313.99
MonotonicityNot monotonic
2023-12-13T02:38:00.577216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 4
 
11.4%
24 2
 
5.7%
5700 1
 
2.9%
271 1
 
2.9%
145 1
 
2.9%
110 1
 
2.9%
133 1
 
2.9%
27 1
 
2.9%
158 1
 
2.9%
130 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
0 4
11.4%
2 1
 
2.9%
3 1
 
2.9%
23 1
 
2.9%
24 2
5.7%
27 1
 
2.9%
34 1
 
2.9%
44 1
 
2.9%
49 1
 
2.9%
55 1
 
2.9%
ValueCountFrequency (%)
5700 1
2.9%
1146 1
2.9%
612 1
2.9%
331 1
2.9%
297 1
2.9%
276 1
2.9%
271 1
2.9%
259 1
2.9%
219 1
2.9%
203 1
2.9%

전체조합원수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.742857
Minimum0
Maximum234
Zeros2
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T02:38:00.688062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q15
median24
Q355.5
95-th percentile229.1
Maximum234
Range234
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation70.970724
Coefficient of variation (CV)1.3455988
Kurtosis1.7065698
Mean52.742857
Median Absolute Deviation (MAD)21
Skewness1.6566894
Sum1846
Variance5036.8437
MonotonicityNot monotonic
2023-12-13T02:38:00.796849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 3
 
8.6%
8 2
 
5.7%
3 2
 
5.7%
0 2
 
5.7%
10 2
 
5.7%
234 2
 
5.7%
4 2
 
5.7%
24 2
 
5.7%
49 2
 
5.7%
44 1
 
2.9%
Other values (15) 15
42.9%
ValueCountFrequency (%)
0 2
5.7%
2 3
8.6%
3 2
5.7%
4 2
5.7%
6 1
 
2.9%
8 2
5.7%
9 1
 
2.9%
10 2
5.7%
11 1
 
2.9%
14 1
 
2.9%
ValueCountFrequency (%)
234 2
5.7%
227 1
2.9%
192 1
2.9%
124 1
2.9%
120 1
2.9%
110 1
2.9%
100 1
2.9%
62 1
2.9%
49 2
5.7%
48 1
2.9%

Interactions

2023-12-13T02:37:54.609532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:54.381551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:54.745790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:54.500623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:38:00.875356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호민원구분노동조합단체명사업장명소속단체명노동조합주소대표자명전체근로자수전체조합원수
인허가번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
민원구분1.0001.0000.7880.4350.8010.7280.6530.1980.488
노동조합단체명1.0000.7881.0001.0001.0001.0000.9931.0001.000
사업장명1.0000.4351.0001.0000.9520.9791.0000.0000.970
소속단체명1.0000.8011.0000.9521.0000.9530.9580.0000.734
노동조합주소1.0000.7281.0000.9790.9531.0000.9751.0000.985
대표자명1.0000.6530.9931.0000.9580.9751.0000.0001.000
전체근로자수1.0000.1981.0000.0000.0001.0000.0001.0000.000
전체조합원수1.0000.4881.0000.9700.7340.9851.0000.0001.000
2023-12-13T02:38:00.982645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체근로자수전체조합원수민원구분
전체근로자수1.0000.6540.178
전체조합원수0.6541.0000.345
민원구분0.1780.3451.000

Missing values

2023-12-13T02:37:54.925737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:37:55.147748image/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.
2023-12-13T02:37:55.592267image/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

인허가번호민원구분영업상태노동조합단체명사업장명소속단체명노동조합주소대표자명전체근로자수전체조합원수
02023-3520203-26-1-00005노동조합설립신고영업중케이시큐리티 노동조합한국가스공사인천본부<NA>인천광역시 연수구 인천신항대로 1100 (송도동)최재우08
12023-3520203-26-1-00004노동조합설립신고영업중삼성바이오로직스 상생노동조합<NA><NA>인천광역시 연수구 송도바이오대로 300 삼성바이오로직스 (송도동)박재성22
22023-3520203-26-1-00003노동조합설립신고영업중연세대국제캠퍼스노동조합<NA>한국노총 전국연합노동조합연맹인천광역시 연수구 송도과학로 85 연세대학교 국제캠퍼스 (송도동)윤현모03
32023-3520203-26-1-00002노동조합변경신고영업중연수구시설안전관리공단 공정과 상식 노동조합<NA><NA>인천광역시 연수구 봉재산로54번길 30 연수구 국제언어체험센터 4층 (동춘동)박노진00
42023-3520203-26-1-00001노동조합설립신고영업중만세코리아 노동조합만세코리아<NA>인천광역시 연수구 송도미래로 30 송도 BRC 스마트밸리 지식산업센터 D동 9층 910호 (송도동)김성만32
52023-3520000-26-1-00001노동조합변경신고영업중이원의료재단 노동조합이원의료재단한국노총 의료노련서울특별시 동작구 노량진동 19번지 6호곽은미33110
62022-3520000-26-1-00001노동조합변경신고영업중(주)코리아탤리서비스 노동조합(주)한국검수전국연합노동조합연맹인천광역시 연수구 인천타워대로 323 송도 센트로드 A동 29층 2912호 (송도동)김민하4939
72021-3520175-26-1-00004노동조합설립신고영업중전국버스기업노동조합<NA><NA>인천광역시 연수구 아카데미로51번길 42(송도동)김진태602
82021-3520175-26-1-00003노동조합변경신고영업중제일노동조합<NA><NA>인천광역시 연수구 인천타워대로 323 송도 센트로드 B동 1802호 (송도동)이종선00
92021-3520175-26-1-00002노동조합설립신고영업중제일노동조합<NA><NA>인천광역시 연수구 인천타워대로 323 송도 센트로드 B동 1802호 (송도동)이몽룡244
인허가번호민원구분영업상태노동조합단체명사업장명소속단체명노동조합주소대표자명전체근로자수전체조합원수
252019-3520175-26-1-00002노동조합재교부신고영업중이원의료재단노동조합이원의료재단전국연합노동조합연맹인천광역시 연수구 하모니로 291 이원의료재단 (송도동)곽은미61210
262018-3520125-26-1-00001노동조합설립신고영업중도영운수제일노동조합도영운수<NA>인천광역시 연수구 먼우금로 19 212호 (동춘동 동남아파트)조대형1364
272017-3520125-26-1-00003노동조합재교부신고영업중대한적십자사인천광역시지사 노동조합대한적십자사상급단체미가입인천광역시 연수구 함박뫼로 220 (연수동 대한적십자사인천지사)최정숙2314
282016-3520125-26-1-00002노동조합재교부신고영업중(주)도영운수 기업노동조합(주)도영운수상급단체미가입인천광역시 연수구 먼우금로 19 상가동 212호 (동춘동 동남아파트)이재성1306
292016-3520125-26-1-00001노동조합변경신고영업중인천글로벌캠퍼스운영재단노동조합인천글로벌캠퍼스운영재단한국노총 공공노동조합연맹인천광역시 연수구 송도문화로 119 인천글로벌캠퍼스 6037호 (송도동)박흥식15844
302015-3520125-26-1-00003노동조합설립신고영업중은성환경 노동조합(주)은성환경전국연합노동조합 연맹인천광역시 연수구 용담로85번길 32 우림빌딩 502호 (청학동)이덕구2724
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