Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells3
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory87.7 B

Variable types

Text5
Categorical3
Numeric2

Dataset

Description영천시의 노동조합 현황에 대한 데이터로 노동조합 이름 소재지 등을 제공합니다. 자세한 문의는 영천시 일자리노사과 노사공동체분야 054-330-6713
Author경상북도 영천시
URLhttps://www.data.go.kr/data/15084412/fileData.do

Alerts

전체근로자수 is highly overall correlated with 전체조합원수High correlation
전체조합원수 is highly overall correlated with 전체근로자수High correlation
영업상태 is highly imbalanced (57.4%)Imbalance
사업장명 has 3 (13.0%) missing valuesMissing
인허가번호 has unique valuesUnique
노동조합단체명 has unique valuesUnique
노동조합주소 has unique valuesUnique
전체조합원수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:16:58.953447
Analysis finished2023-12-12 11:17:00.890015
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T20:17:01.109754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters529
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

Unique23 ?
Unique (%)100.0%

Sample

1st row2020-5100237-26-1-00002
2nd row2020-5100237-26-1-00001
3rd row2019-5100207-26-1-00001
4th row2018-5100207-26-1-00001
5th row2015-5100178-26-1-00001
ValueCountFrequency (%)
2020-5100237-26-1-00002 1
 
4.3%
2009-5100121-26-1-00009 1
 
4.3%
2002-5100108-26-1-00001 1
 
4.3%
2002-5100121-26-1-00007 1
 
4.3%
2007-5100121-26-1-00001 1
 
4.3%
2009-5100121-26-1-00001 1
 
4.3%
2009-5100121-26-1-00002 1
 
4.3%
2009-5100121-26-1-00003 1
 
4.3%
2009-5100121-26-1-00004 1
 
4.3%
2009-5100121-26-1-00006 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T20:17:01.666019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 182
34.4%
1 104
19.7%
- 92
17.4%
2 72
 
13.6%
5 24
 
4.5%
6 24
 
4.5%
9 12
 
2.3%
7 7
 
1.3%
4 5
 
0.9%
8 4
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 437
82.6%
Dash Punctuation 92
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182
41.6%
1 104
23.8%
2 72
 
16.5%
5 24
 
5.5%
6 24
 
5.5%
9 12
 
2.7%
7 7
 
1.6%
4 5
 
1.1%
8 4
 
0.9%
3 3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 529
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182
34.4%
1 104
19.7%
- 92
17.4%
2 72
 
13.6%
5 24
 
4.5%
6 24
 
4.5%
9 12
 
2.3%
7 7
 
1.3%
4 5
 
0.9%
8 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182
34.4%
1 104
19.7%
- 92
17.4%
2 72
 
13.6%
5 24
 
4.5%
6 24
 
4.5%
9 12
 
2.3%
7 7
 
1.3%
4 5
 
0.9%
8 4
 
0.8%

민원구분
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
노동조합설립신고
10 
노동조합변경신고
9 
노동조합재교부신고
4 

Length

Max length9
Median length8
Mean length8.173913
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노동조합설립신고 10
43.5%
노동조합변경신고 9
39.1%
노동조합재교부신고 4
 
17.4%

Length

2023-12-12T20:17:01.918554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:17:02.109643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노동조합설립신고 10
43.5%
노동조합변경신고 9
39.1%
노동조합재교부신고 4
 
17.4%

영업상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업중
21 
해산
 
2

Length

Max length3
Median length3
Mean length2.9130435
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 21
91.3%
해산 2
 
8.7%

Length

2023-12-12T20:17:02.827233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:17:02.999647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 21
91.3%
해산 2
 
8.7%

노동조합단체명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T20:17:03.261264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length9.9565217
Min length7

Characters and Unicode

Total characters229
Distinct characters67
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

Unique23 ?
Unique (%)100.0%

Sample

1st row경북하이브리드부품연구원협동노동조합
2nd row영천배기주식회사 노동조합
3rd row영천다이셀 노동조합
4th row화진 노동조합
5th row한호산업 노동조합
ValueCountFrequency (%)
노동조합 15
38.5%
경북하이브리드부품연구원협동노동조합 1
 
2.6%
화신지부 1
 
2.6%
주)화신노동조합 1
 
2.6%
신영노동조합 1
 
2.6%
주 1
 
2.6%
주)케이씨피드 1
 
2.6%
영천팔팔택시노동조합 1
 
2.6%
영천교통 1
 
2.6%
세왕금속 1
 
2.6%
Other values (15) 15
38.5%
2023-12-12T20:17:03.829358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
 
10.0%
조 22
 
9.6%
합 22
 
9.6%
노 22
 
9.6%
16
 
7.0%
영 9
 
3.9%
주 8
 
3.5%
) 7
 
3.1%
( 7
 
3.1%
천 7
 
3.1%
Other values (57) 86
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
86.9%
Space Separator 16
 
7.0%
Close Punctuation 7
 
3.1%
Open Punctuation 7
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
 
11.6%
조 22
 
11.1%
합 22
 
11.1%
노 22
 
11.1%
영 9
 
4.5%
주 8
 
4.0%
천 7
 
3.5%
이 5
 
2.5%
화 4
 
2.0%
신 4
 
2.0%
Other values (54) 73
36.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
86.9%
Common 30
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
 
11.6%
조 22
 
11.1%
합 22
 
11.1%
노 22
 
11.1%
영 9
 
4.5%
주 8
 
4.0%
천 7
 
3.5%
이 5
 
2.5%
화 4
 
2.0%
신 4
 
2.0%
Other values (54) 73
36.7%
Common
ValueCountFrequency (%)
16
53.3%
) 7
23.3%
( 7
23.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
86.9%
ASCII 30
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
 
11.6%
조 22
 
11.1%
합 22
 
11.1%
노 22
 
11.1%
영 9
 
4.5%
주 8
 
4.0%
천 7
 
3.5%
이 5
 
2.5%
화 4
 
2.0%
신 4
 
2.0%
Other values (54) 73
36.7%
ASCII
ValueCountFrequency (%)
16
53.3%
) 7
23.3%
( 7
23.3%

사업장명
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Memory size316.0 B
2023-12-12T20:17:04.164144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.7
Min length4

Characters and Unicode

Total characters134
Distinct characters55
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

Unique18 ?
Unique (%)90.0%

Sample

1st row다이셀세이프티시스템
2nd row(주)화진
3rd row(주)PNDT
4th row(주)영진
5th row영천팔레스
ValueCountFrequency (%)
주)화신 2
 
9.1%
주)화신정공 1
 
4.5%
주)화진 1
 
4.5%
주)pndt 1
 
4.5%
주)신영 1
 
4.5%
주)케이씨피드 1
 
4.5%
영천팔팔택시 1
 
4.5%
영천교통 1
 
4.5%
세왕금속공업(주 1
 
4.5%
주)세원물산 1
 
4.5%
Other values (11) 11
50.0%
2023-12-12T20:17:04.795900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 12
 
9.0%
) 12
 
9.0%
주 12
 
9.0%
영 10
 
7.5%
천 8
 
6.0%
이 5
 
3.7%
신 4
 
3.0%
세 4
 
3.0%
시 4
 
3.0%
화 4
 
3.0%
Other values (45) 59
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
77.6%
Open Punctuation 12
 
9.0%
Close Punctuation 12
 
9.0%
Uppercase Letter 4
 
3.0%
Space Separator 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
11.5%
영 10
 
9.6%
천 8
 
7.7%
이 5
 
4.8%
신 4
 
3.8%
세 4
 
3.8%
시 4
 
3.8%
화 4
 
3.8%
팔 3
 
2.9%
공 3
 
2.9%
Other values (38) 47
45.2%
Uppercase Letter
ValueCountFrequency (%)
N 1
25.0%
T 1
25.0%
D 1
25.0%
P 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
77.6%
Common 26
 
19.4%
Latin 4
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
11.5%
영 10
 
9.6%
천 8
 
7.7%
이 5
 
4.8%
신 4
 
3.8%
세 4
 
3.8%
시 4
 
3.8%
화 4
 
3.8%
팔 3
 
2.9%
공 3
 
2.9%
Other values (38) 47
45.2%
Latin
ValueCountFrequency (%)
N 1
25.0%
T 1
25.0%
D 1
25.0%
P 1
25.0%
Common
ValueCountFrequency (%)
( 12
46.2%
) 12
46.2%
2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
77.6%
ASCII 30
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 12
40.0%
) 12
40.0%
2
 
6.7%
N 1
 
3.3%
T 1
 
3.3%
D 1
 
3.3%
P 1
 
3.3%
Hangul
ValueCountFrequency (%)
주 12
 
11.5%
영 10
 
9.6%
천 8
 
7.7%
이 5
 
4.8%
신 4
 
3.8%
세 4
 
3.8%
시 4
 
3.8%
화 4
 
3.8%
팔 3
 
2.9%
공 3
 
2.9%
Other values (38) 47
45.2%

소속단체명
Categorical

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
전국금속노동조합연맹
8 
<NA>
3 
상급단체 미가입
3 
한국노총
2 
전국공공노동조합연맹
2 
Other values (5)
5 

Length

Max length11
Median length10
Mean length8.3043478
Min length4

Unique

Unique5 ?
Unique (%)21.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row한국노총
5th row한국노총

Common Values

ValueCountFrequency (%)
전국금속노동조합연맹 8
34.8%
<NA> 3
 
13.0%
상급단체 미가입 3
 
13.0%
한국노총 2
 
8.7%
전국공공노동조합연맹 2
 
8.7%
한국노총 금속노련 1
 
4.3%
전국연합노동조합연맹 1
 
4.3%
우정노동조합 1
 
4.3%
전국자동차노동조합연맹 1
 
4.3%
전국민주노동조합총연맹 1
 
4.3%

Length

2023-12-12T20:17:05.071558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:17:05.313522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전국금속노동조합연맹 8
29.6%
na 3
 
11.1%
상급단체 3
 
11.1%
미가입 3
 
11.1%
한국노총 3
 
11.1%
전국공공노동조합연맹 2
 
7.4%
금속노련 1
 
3.7%
전국연합노동조합연맹 1
 
3.7%
우정노동조합 1
 
3.7%
전국자동차노동조합연맹 1
 
3.7%

노동조합주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T20:17:05.746552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.086957
Min length20

Characters and Unicode

Total characters554
Distinct characters79
Distinct categories6 ?
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 (%)100.0%

Sample

1st row경상북도 영천시 괴연1길 24-24 (괴연동)
2nd row경상북도 영천시 임고면 신선로 549
3rd row경상북도 영천시 금호읍 영천산단로 285 다이셀세이프티시스템즈코리아
4th row경상북도 영천시 도남공단3길 26 (주)화진 (도남동)
5th row경상북도 영천시 금호읍 영천산단로 167
ValueCountFrequency (%)
경상북도 23
19.5%
영천시 23
19.5%
영천산단로 4
 
3.4%
도남동 4
 
3.4%
완산동 3
 
2.5%
금호읍 3
 
2.5%
도남공단3길 2
 
1.7%
도남공단길 2
 
1.7%
화룡동 2
 
1.7%
53 2
 
1.7%
Other values (48) 50
42.4%
2023-12-12T20:17:06.350257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
17.7%
도 32
 
5.8%
천 30
 
5.4%
영 28
 
5.1%
북 24
 
4.3%
시 24
 
4.3%
경 23
 
4.2%
상 23
 
4.2%
) 19
 
3.4%
( 19
 
3.4%
Other values (69) 234
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
62.6%
Space Separator 98
 
17.7%
Decimal Number 67
 
12.1%
Close Punctuation 19
 
3.4%
Open Punctuation 19
 
3.4%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 32
 
9.2%
천 30
 
8.6%
영 28
 
8.1%
북 24
 
6.9%
시 24
 
6.9%
경 23
 
6.6%
상 23
 
6.6%
동 18
 
5.2%
길 12
 
3.5%
단 11
 
3.2%
Other values (55) 122
35.2%
Decimal Number
ValueCountFrequency (%)
1 11
16.4%
3 10
14.9%
9 10
14.9%
2 9
13.4%
4 8
11.9%
5 5
7.5%
6 5
7.5%
8 4
 
6.0%
0 3
 
4.5%
7 2
 
3.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
62.6%
Common 207
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 32
 
9.2%
천 30
 
8.6%
영 28
 
8.1%
북 24
 
6.9%
시 24
 
6.9%
경 23
 
6.6%
상 23
 
6.6%
동 18
 
5.2%
길 12
 
3.5%
단 11
 
3.2%
Other values (55) 122
35.2%
Common
ValueCountFrequency (%)
98
47.3%
) 19
 
9.2%
( 19
 
9.2%
1 11
 
5.3%
3 10
 
4.8%
9 10
 
4.8%
2 9
 
4.3%
4 8
 
3.9%
5 5
 
2.4%
6 5
 
2.4%
Other values (4) 13
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
62.6%
ASCII 207
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
47.3%
) 19
 
9.2%
( 19
 
9.2%
1 11
 
5.3%
3 10
 
4.8%
9 10
 
4.8%
2 9
 
4.3%
4 8
 
3.9%
5 5
 
2.4%
6 5
 
2.4%
Other values (4) 13
 
6.3%
Hangul
ValueCountFrequency (%)
도 32
 
9.2%
천 30
 
8.6%
영 28
 
8.1%
북 24
 
6.9%
시 24
 
6.9%
경 23
 
6.6%
상 23
 
6.6%
동 18
 
5.2%
길 12
 
3.5%
단 11
 
3.2%
Other values (55) 122
35.2%

대표자명
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T20:17:06.644611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters45
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

Unique21 ?
Unique (%)91.3%

Sample

1st row신창열
2nd row신영광
3rd row송상문
4th row정대성
5th row황현원
ValueCountFrequency (%)
박겸훈 2
 
8.7%
신창열 1
 
4.3%
신영광 1
 
4.3%
박남규 1
 
4.3%
최병길 1
 
4.3%
조문형 1
 
4.3%
임판순 1
 
4.3%
이세형 1
 
4.3%
손광희 1
 
4.3%
장춘덕 1
 
4.3%
Other values (12) 12
52.2%
2023-12-12T20:17:07.127716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 4
 
5.8%
이 4
 
5.8%
현 3
 
4.3%
훈 3
 
4.3%
열 3
 
4.3%
병 3
 
4.3%
광 3
 
4.3%
형 2
 
2.9%
조 2
 
2.9%
겸 2
 
2.9%
Other values (35) 40
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 4
 
5.8%
이 4
 
5.8%
현 3
 
4.3%
훈 3
 
4.3%
열 3
 
4.3%
병 3
 
4.3%
광 3
 
4.3%
형 2
 
2.9%
조 2
 
2.9%
겸 2
 
2.9%
Other values (35) 40
58.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 4
 
5.8%
이 4
 
5.8%
현 3
 
4.3%
훈 3
 
4.3%
열 3
 
4.3%
병 3
 
4.3%
광 3
 
4.3%
형 2
 
2.9%
조 2
 
2.9%
겸 2
 
2.9%
Other values (35) 40
58.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 4
 
5.8%
이 4
 
5.8%
현 3
 
4.3%
훈 3
 
4.3%
열 3
 
4.3%
병 3
 
4.3%
광 3
 
4.3%
형 2
 
2.9%
조 2
 
2.9%
겸 2
 
2.9%
Other values (35) 40
58.0%

전체근로자수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.52174
Minimum33
Maximum784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T20:17:07.295931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile37.2
Q171.5
median136
Q3227.5
95-th percentile517.4
Maximum784
Range751
Interquartile range (IQR)156

Descriptive statistics

Standard deviation184.43818
Coefficient of variation (CV)0.94816231
Kurtosis3.9977747
Mean194.52174
Median Absolute Deviation (MAD)81
Skewness1.953533
Sum4474
Variance34017.443
MonotonicityNot monotonic
2023-12-12T20:17:07.467822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
55 2
 
8.7%
170 2
 
8.7%
106 1
 
4.3%
503 1
 
4.3%
784 1
 
4.3%
99 1
 
4.3%
50 1
 
4.3%
110 1
 
4.3%
136 1
 
4.3%
519 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
33 1
4.3%
36 1
4.3%
48 1
4.3%
50 1
4.3%
55 2
8.7%
88 1
4.3%
99 1
4.3%
106 1
4.3%
110 1
4.3%
113 1
4.3%
ValueCountFrequency (%)
784 1
4.3%
519 1
4.3%
503 1
4.3%
295 1
4.3%
284 1
4.3%
235 1
4.3%
220 1
4.3%
199 1
4.3%
170 2
8.7%
166 1
4.3%

전체조합원수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.91304
Minimum8
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T20:17:07.685818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9.3
Q144.5
median82
Q3170.5
95-th percentile401.9
Maximum423
Range415
Interquartile range (IQR)126

Descriptive statistics

Standard deviation117.31229
Coefficient of variation (CV)0.92435174
Kurtosis1.6398266
Mean126.91304
Median Absolute Deviation (MAD)55
Skewness1.4395295
Sum2919
Variance13762.174
MonotonicityNot monotonic
2023-12-12T20:17:07.873105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9 1
 
4.3%
65 1
 
4.3%
137 1
 
4.3%
284 1
 
4.3%
423 1
 
4.3%
8 1
 
4.3%
48 1
 
4.3%
100 1
 
4.3%
78 1
 
4.3%
415 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
8 1
4.3%
9 1
4.3%
12 1
4.3%
33 1
4.3%
36 1
4.3%
41 1
4.3%
48 1
4.3%
55 1
4.3%
65 1
4.3%
78 1
4.3%
ValueCountFrequency (%)
423 1
4.3%
415 1
4.3%
284 1
4.3%
212 1
4.3%
205 1
4.3%
196 1
4.3%
145 1
4.3%
144 1
4.3%
137 1
4.3%
112 1
4.3%

Interactions

2023-12-12T20:17:00.148295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:59.767740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:17:00.304525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:16:59.966372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:17:08.011002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호민원구분영업상태노동조합단체명사업장명소속단체명노동조합주소대표자명전체근로자수전체조합원수
인허가번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
민원구분1.0001.0000.1221.0000.7870.0001.0000.8110.0000.000
영업상태1.0000.1221.0001.0001.0000.3511.0001.0000.0000.000
노동조합단체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업장명1.0000.7871.0001.0001.0001.0001.0001.0000.0000.000
소속단체명1.0000.0000.3511.0001.0001.0001.0001.0000.2070.000
노동조합주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0000.8111.0001.0001.0001.0001.0001.0000.0000.000
전체근로자수1.0000.0000.0001.0000.0000.2071.0000.0001.0000.784
전체조합원수1.0000.0000.0001.0000.0000.0001.0000.0000.7841.000
2023-12-12T20:17:08.216037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민원구분소속단체명영업상태
민원구분1.0000.0000.186
소속단체명0.0001.0000.236
영업상태0.1860.2361.000
2023-12-12T20:17:08.396152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체근로자수전체조합원수민원구분영업상태소속단체명
전체근로자수1.0000.9340.0000.0000.000
전체조합원수0.9341.0000.0000.0000.000
민원구분0.0000.0001.0000.1860.000
영업상태0.0000.0000.1861.0000.236
소속단체명0.0000.0000.0000.2361.000

Missing values

2023-12-12T20:17:00.511210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:17:00.780936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

인허가번호민원구분영업상태노동조합단체명사업장명소속단체명노동조합주소대표자명전체근로자수전체조합원수
02020-5100237-26-1-00002노동조합설립신고영업중경북하이브리드부품연구원협동노동조합<NA><NA>경상북도 영천시 괴연1길 24-24 (괴연동)신창열559
12020-5100237-26-1-00001노동조합설립신고영업중영천배기주식회사 노동조합<NA><NA>경상북도 영천시 임고면 신선로 549신영광10665
22019-5100207-26-1-00001노동조합설립신고해산영천다이셀 노동조합다이셀세이프티시스템<NA>경상북도 영천시 금호읍 영천산단로 285 다이셀세이프티시스템즈코리아송상문16682
32018-5100207-26-1-00001노동조합변경신고영업중화진 노동조합(주)화진한국노총경상북도 영천시 도남공단3길 26 (주)화진 (도남동)정대성235205
42015-5100178-26-1-00001노동조합설립신고해산한호산업 노동조합<NA>한국노총경상북도 영천시 금호읍 영천산단로 167황현원8836
52014-5100121-26-1-00001노동조합설립신고영업중피엔디티 노동조합(주)PNDT전국금속노동조합연맹경상북도 영천시 영천산단로 92 (채신동)윤광열199196
62014-5100000-26-1-00001노동조합변경신고영업중(주)영진노동조합(주)영진한국노총 금속노련경상북도 영천시 영천산단로 53 (채신동)권태훈220145
72011-5100121-26-1-00004노동조합변경신고영업중영천팔레스 노동조합영천팔레스상급단체 미가입경상북도 영천시 북안면 신평탑골길 16-8박정태3312
82010-5100121-26-1-00001노동조합변경신고영업중영천시청노동조합영천시청전국연합노동조합연맹경상북도 영천시 바깥완산길 433 (완산동)이동열295144
92009-5100121-26-1-00014노동조합변경신고영업중영천택시(주)노동조합영천택시(주)상급단체 미가입경상북도 영천시 장수로 108 (화룡동)이현용5555
인허가번호민원구분영업상태노동조합단체명사업장명소속단체명노동조합주소대표자명전체근로자수전체조합원수
132009-5100121-26-1-00008노동조합설립신고영업중우체국 노동조합영천우체국우정노동조합경상북도 영천시 완산로 11 (완산동 영천우체국)이준우11379
142009-5100121-26-1-00006노동조합변경신고영업중화신정공 노동조합(주)화신정공전국금속노동조합연맹경상북도 영천시 도남공단3길 96 (도남동)장춘덕170112
152009-5100121-26-1-00004노동조합설립신고영업중(주)세원물산 노동조합(주)세원물산전국금속노동조합연맹경상북도 영천시 도남공단길 53 (도남동)손광희519415
162009-5100121-26-1-00003노동조합재교부신고영업중세왕금속 노동조합세왕금속공업(주)전국금속노동조합연맹경상북도 영천시 망정1길 209 (망정동)이세형13678
172009-5100121-26-1-00002노동조합변경신고영업중영천교통 노동조합영천교통전국자동차노동조합연맹경상북도 영천시 최무선로 69 (오수동)임판순110100
182009-5100121-26-1-00001노동조합재교부신고영업중영천팔팔택시노동조합영천팔팔택시상급단체 미가입경상북도 영천시 천문로 484 (화룡동)조문형5048
192007-5100121-26-1-00001노동조합재교부신고영업중(주)케이씨피드(주)케이씨피드전국민주노동조합총연맹경상북도 영천시 금호읍 금호로 320최병길998
202002-5100121-26-1-00007노동조합재교부신고영업중(주) 신영노동조합(주)신영전국금속노동조합연맹경상북도 영천시 본촌공단길 39 (본촌동)박남규784423
212002-5100108-26-1-00001노동조합변경신고영업중(주)화신노동조합(주)화신전국금속노동조합연맹경상북도 영천시 언하공단1길 14 (언하동)박겸훈503284
222001-5100121-26-1-00001노동조합설립신고영업중(주)세원이엔아이 노동조합(주)세원이엔아이전국금속노동조합연맹경상북도 영천시 도남공단2길 35 (도남동)예병진170137