Overview

Dataset statistics

Number of variables6
Number of observations253
Missing cells7
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory48.5 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description2022년 충청남도 관내 노동조합 운영 현황으로, 도 및 시군 관내에 신고되어 운영되고 있는 노동조합의 현황입니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15105301/fileData.do

Alerts

사업장명 has 7 (2.8%) missing valuesMissing
노동조합명 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:04:01.128772
Analysis finished2024-04-17 11:04:01.932951
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정관청명
Categorical

Distinct17
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
아산시
56 
천안시
54 
당진시
29 
서천군
17 
서산시
16 
Other values (12)
81 

Length

Max length4
Median length3
Mean length3.0316206
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아산시 56
22.1%
천안시 54
21.3%
당진시 29
11.5%
서천군 17
 
6.7%
서산시 16
 
6.3%
예산군 12
 
4.7%
태안군 12
 
4.7%
공주시 11
 
4.3%
보령시 11
 
4.3%
논산시 8
 
3.2%
Other values (7) 27
10.7%

Length

2024-04-17T20:04:01.986861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아산시 56
22.1%
천안시 54
21.3%
당진시 32
12.6%
서천군 17
 
6.7%
서산시 16
 
6.3%
예산군 12
 
4.7%
태안군 12
 
4.7%
공주시 11
 
4.3%
보령시 11
 
4.3%
논산시 8
 
3.2%
Other values (6) 24
9.5%

노동조합명
Text

UNIQUE 

Distinct253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:04:02.154547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length21
Mean length11.26087
Min length4

Characters and Unicode

Total characters2849
Distinct characters320
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)100.0%

Sample

1st row충청남도공공노동조합
2nd row충남지역건설노동조합
3rd row호서대학교노동조합
4th row충남건설산업노동조합
5th row충청남도공무직노동조합
ValueCountFrequency (%)
노동조합 78
 
19.8%
공무직 5
 
1.3%
주식회사 4
 
1.0%
아산공장 3
 
0.8%
플랜트 3
 
0.8%
기계장비 2
 
0.5%
공주시 2
 
0.5%
환경 2
 
0.5%
연세유업 2
 
0.5%
사조동아원㈜ 2
 
0.5%
Other values (291) 291
73.9%
2024-04-17T20:04:02.454270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 272
 
9.5%
조 260
 
9.1%
합 257
 
9.0%
노 256
 
9.0%
128
 
4.5%
공 49
 
1.7%
주 49
 
1.7%
) 36
 
1.3%
산 36
 
1.3%
( 36
 
1.3%
Other values (310) 1470
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2534
88.9%
Space Separator 128
 
4.5%
Uppercase Letter 65
 
2.3%
Close Punctuation 37
 
1.3%
Open Punctuation 37
 
1.3%
Control 22
 
0.8%
Other Symbol 21
 
0.7%
Lowercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 272
 
10.7%
조 260
 
10.3%
합 257
 
10.1%
노 256
 
10.1%
공 49
 
1.9%
주 49
 
1.9%
산 36
 
1.4%
스 35
 
1.4%
아 30
 
1.2%
시 29
 
1.1%
Other values (282) 1261
49.8%
Uppercase Letter
ValueCountFrequency (%)
C 15
23.1%
S 11
16.9%
K 6
 
9.2%
T 6
 
9.2%
I 4
 
6.2%
E 4
 
6.2%
M 4
 
6.2%
L 3
 
4.6%
G 3
 
4.6%
W 2
 
3.1%
Other values (6) 7
10.8%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
c 1
33.3%
s 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 36
97.3%
] 1
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 36
97.3%
[ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
128
100.0%
Control
ValueCountFrequency (%)
22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2555
89.7%
Common 226
 
7.9%
Latin 68
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 272
 
10.6%
조 260
 
10.2%
합 257
 
10.1%
노 256
 
10.0%
공 49
 
1.9%
주 49
 
1.9%
산 36
 
1.4%
스 35
 
1.4%
아 30
 
1.2%
시 29
 
1.1%
Other values (283) 1282
50.2%
Latin
ValueCountFrequency (%)
C 15
22.1%
S 11
16.2%
K 6
 
8.8%
T 6
 
8.8%
I 4
 
5.9%
E 4
 
5.9%
M 4
 
5.9%
L 3
 
4.4%
G 3
 
4.4%
W 2
 
2.9%
Other values (9) 10
14.7%
Common
ValueCountFrequency (%)
128
56.6%
) 36
 
15.9%
( 36
 
15.9%
22
 
9.7%
. 1
 
0.4%
1 1
 
0.4%
] 1
 
0.4%
[ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2534
88.9%
ASCII 294
 
10.3%
None 21
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 272
 
10.7%
조 260
 
10.3%
합 257
 
10.1%
노 256
 
10.1%
공 49
 
1.9%
주 49
 
1.9%
산 36
 
1.4%
스 35
 
1.4%
아 30
 
1.2%
시 29
 
1.1%
Other values (282) 1261
49.8%
ASCII
ValueCountFrequency (%)
128
43.5%
) 36
 
12.2%
( 36
 
12.2%
22
 
7.5%
C 15
 
5.1%
S 11
 
3.7%
K 6
 
2.0%
T 6
 
2.0%
I 4
 
1.4%
E 4
 
1.4%
Other values (17) 26
 
8.8%
None
ValueCountFrequency (%)
㈜ 21
100.0%

사업장명
Text

MISSING 

Distinct235
Distinct (%)95.5%
Missing7
Missing (%)2.8%
Memory size2.1 KiB
2024-04-17T20:04:02.670664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length6.101626
Min length1

Characters and Unicode

Total characters1501
Distinct characters297
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)92.3%

Sample

1st row-
2nd row-
3rd row호서대학교
4th row-
5th row충청남도청
ValueCountFrequency (%)
부여군청 4
 
1.5%
3
 
1.1%
현대itc 2
 
0.8%
서부항운 2
 
0.8%
대산 2
 
0.8%
아산시청 2
 
0.8%
sgc솔루션 2
 
0.8%
동해기계항공 2
 
0.8%
공주시청 2
 
0.8%
사조동아원㈜ 2
 
0.8%
Other values (240) 241
91.3%
2024-04-17T20:04:03.009881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 56
 
3.7%
) 47
 
3.1%
( 47
 
3.1%
스 35
 
2.3%
㈜ 33
 
2.2%
산 31
 
2.1%
시 29
 
1.9%
공 29
 
1.9%
아 28
 
1.9%
동 23
 
1.5%
Other values (287) 1143
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1281
85.3%
Uppercase Letter 59
 
3.9%
Close Punctuation 47
 
3.1%
Open Punctuation 47
 
3.1%
Other Symbol 33
 
2.2%
Space Separator 23
 
1.5%
Lowercase Letter 6
 
0.4%
Dash Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 56
 
4.4%
스 35
 
2.7%
산 31
 
2.4%
시 29
 
2.3%
공 29
 
2.3%
아 28
 
2.2%
동 23
 
1.8%
원 23
 
1.8%
운 22
 
1.7%
리 21
 
1.6%
Other values (258) 984
76.8%
Uppercase Letter
ValueCountFrequency (%)
C 9
15.3%
S 9
15.3%
T 6
10.2%
M 4
 
6.8%
E 4
 
6.8%
K 4
 
6.8%
I 4
 
6.8%
W 3
 
5.1%
G 3
 
5.1%
L 3
 
5.1%
Other values (8) 10
16.9%
Lowercase Letter
ValueCountFrequency (%)
c 3
50.0%
s 1
 
16.7%
g 1
 
16.7%
k 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1314
87.5%
Common 122
 
8.1%
Latin 65
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 56
 
4.3%
스 35
 
2.7%
㈜ 33
 
2.5%
산 31
 
2.4%
시 29
 
2.2%
공 29
 
2.2%
아 28
 
2.1%
동 23
 
1.8%
원 23
 
1.8%
운 22
 
1.7%
Other values (259) 1005
76.5%
Latin
ValueCountFrequency (%)
C 9
13.8%
S 9
13.8%
T 6
 
9.2%
M 4
 
6.2%
E 4
 
6.2%
K 4
 
6.2%
I 4
 
6.2%
W 3
 
4.6%
G 3
 
4.6%
L 3
 
4.6%
Other values (12) 16
24.6%
Common
ValueCountFrequency (%)
) 47
38.5%
( 47
38.5%
23
18.9%
- 3
 
2.5%
1 1
 
0.8%
1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1281
85.3%
ASCII 187
 
12.5%
None 33
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 56
 
4.4%
스 35
 
2.7%
산 31
 
2.4%
시 29
 
2.3%
공 29
 
2.3%
아 28
 
2.2%
동 23
 
1.8%
원 23
 
1.8%
운 22
 
1.7%
리 21
 
1.6%
Other values (258) 984
76.8%
ASCII
ValueCountFrequency (%)
) 47
25.1%
( 47
25.1%
23
12.3%
C 9
 
4.8%
S 9
 
4.8%
T 6
 
3.2%
M 4
 
2.1%
E 4
 
2.1%
K 4
 
2.1%
I 4
 
2.1%
Other values (18) 30
16.0%
None
ValueCountFrequency (%)
㈜ 33
100.0%

주사무소소재지
Text

Distinct237
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:04:03.286281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length22.956522
Min length11

Characters and Unicode

Total characters5808
Distinct characters252
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

Unique225 ?
Unique (%)88.9%

Sample

1st row충남 서산시 율지7로 19(동문동), 3층
2nd row충남 당진시 운학길 26, 2층
3rd row충남 아산시 배방읍 호서로 79번길
4th row충남 보령시 주교면 토정로 1032번지 203호
5th row충남 논산시 부적면 마구평1길 20-26
ValueCountFrequency (%)
충청남도 160
 
12.1%
충남 77
 
5.8%
아산시 56
 
4.2%
천안시 54
 
4.1%
서북구 36
 
2.7%
당진시 33
 
2.5%
동남구 18
 
1.4%
서천군 17
 
1.3%
서산시 17
 
1.3%
송악읍 14
 
1.1%
Other values (539) 841
63.6%
2024-04-17T20:04:03.696852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1097
 
18.9%
남 270
 
4.6%
충 242
 
4.2%
1 204
 
3.5%
시 204
 
3.5%
도 173
 
3.0%
청 173
 
3.0%
로 169
 
2.9%
산 151
 
2.6%
2 123
 
2.1%
Other values (242) 3002
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3606
62.1%
Space Separator 1097
 
18.9%
Decimal Number 915
 
15.8%
Dash Punctuation 68
 
1.2%
Close Punctuation 50
 
0.9%
Open Punctuation 50
 
0.9%
Other Punctuation 12
 
0.2%
Uppercase Letter 8
 
0.1%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 270
 
7.5%
충 242
 
6.7%
시 204
 
5.7%
도 173
 
4.8%
청 173
 
4.8%
로 169
 
4.7%
산 151
 
4.2%
면 117
 
3.2%
길 104
 
2.9%
천 97
 
2.7%
Other values (220) 1906
52.9%
Decimal Number
ValueCountFrequency (%)
1 204
22.3%
2 123
13.4%
3 112
12.2%
4 97
10.6%
5 73
 
8.0%
0 69
 
7.5%
7 69
 
7.5%
8 64
 
7.0%
6 55
 
6.0%
9 49
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
C 2
25.0%
I 1
12.5%
S 1
12.5%
L 1
12.5%
K 1
12.5%
Space Separator
ValueCountFrequency (%)
1097
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3606
62.1%
Common 2194
37.8%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 270
 
7.5%
충 242
 
6.7%
시 204
 
5.7%
도 173
 
4.8%
청 173
 
4.8%
로 169
 
4.7%
산 151
 
4.2%
면 117
 
3.2%
길 104
 
2.9%
천 97
 
2.7%
Other values (220) 1906
52.9%
Common
ValueCountFrequency (%)
1097
50.0%
1 204
 
9.3%
2 123
 
5.6%
3 112
 
5.1%
4 97
 
4.4%
5 73
 
3.3%
0 69
 
3.1%
7 69
 
3.1%
- 68
 
3.1%
8 64
 
2.9%
Other values (6) 218
 
9.9%
Latin
ValueCountFrequency (%)
B 2
25.0%
C 2
25.0%
I 1
12.5%
S 1
12.5%
L 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3606
62.1%
ASCII 2202
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1097
49.8%
1 204
 
9.3%
2 123
 
5.6%
3 112
 
5.1%
4 97
 
4.4%
5 73
 
3.3%
0 69
 
3.1%
7 69
 
3.1%
- 68
 
3.1%
8 64
 
2.9%
Other values (12) 226
 
10.3%
Hangul
ValueCountFrequency (%)
남 270
 
7.5%
충 242
 
6.7%
시 204
 
5.7%
도 173
 
4.8%
청 173
 
4.8%
로 169
 
4.7%
산 151
 
4.2%
면 117
 
3.2%
길 104
 
2.9%
천 97
 
2.7%
Other values (220) 1906
52.9%

대표자
Text

Distinct249
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-17T20:04:03.993334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9920949
Min length2

Characters and Unicode

Total characters757
Distinct characters135
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

Unique245 ?
Unique (%)96.8%

Sample

1st row김기성
2nd row김남수
3rd row최용선
4th row복창연
5th row박동완
ValueCountFrequency (%)
김남수 2
 
0.8%
김태환 2
 
0.8%
박영규 2
 
0.8%
이영우 2
 
0.8%
임동훈 1
 
0.4%
박경숙 1
 
0.4%
방선길 1
 
0.4%
임삼남 1
 
0.4%
조민구 1
 
0.4%
최해남 1
 
0.4%
Other values (239) 239
94.5%
2024-04-17T20:04:04.389415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 48
 
6.3%
이 45
 
5.9%
영 30
 
4.0%
박 27
 
3.6%
정 21
 
2.8%
최 17
 
2.2%
진 16
 
2.1%
용 16
 
2.1%
성 15
 
2.0%
태 14
 
1.8%
Other values (125) 508
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 757
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 48
 
6.3%
이 45
 
5.9%
영 30
 
4.0%
박 27
 
3.6%
정 21
 
2.8%
최 17
 
2.2%
진 16
 
2.1%
용 16
 
2.1%
성 15
 
2.0%
태 14
 
1.8%
Other values (125) 508
67.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 757
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 48
 
6.3%
이 45
 
5.9%
영 30
 
4.0%
박 27
 
3.6%
정 21
 
2.8%
최 17
 
2.2%
진 16
 
2.1%
용 16
 
2.1%
성 15
 
2.0%
태 14
 
1.8%
Other values (125) 508
67.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 757
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 48
 
6.3%
이 45
 
5.9%
영 30
 
4.0%
박 27
 
3.6%
정 21
 
2.8%
최 17
 
2.2%
진 16
 
2.1%
용 16
 
2.1%
성 15
 
2.0%
태 14
 
1.8%
Other values (125) 508
67.1%

설립일
Date

Distinct247
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1960-12-07 00:00:00
Maximum2022-12-29 00:00:00
2024-04-17T20:04:04.511364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:04:04.631902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2024-04-17T20:04:01.817122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:04:01.899313image/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

행정관청명노동조합명사업장명주사무소소재지대표자설립일
0충청남도충청남도공공노동조합-충남 서산시 율지7로 19(동문동), 3층김기성2008-11-15
1충청남도충남지역건설노동조합-충남 당진시 운학길 26, 2층김남수2019-04-30
2충청남도호서대학교노동조합호서대학교충남 아산시 배방읍 호서로 79번길최용선2013-11-22
3충청남도충남건설산업노동조합-충남 보령시 주교면 토정로 1032번지 203호복창연2018-09-21
4충청남도충청남도공무직노동조합충청남도청충남 논산시 부적면 마구평1길 20-26박동완2019-06-26
5천안시천안시교통약자이동지원센터 노동조합교통약자이동지원센터충청남도 천안시 동남구 다가말2길 104 일봉회관 IB웨딩 (다가동)복영순2018-11-06
6천안시천안시청 시립예술단 노동조합천안시청시립예술단충청남도 천안시 동남구 성남면 종합휴양지로 185유경우2015-02-11
7천안시한빛CS 노동조합한빛CS충청남도 천안시 동남구 목천읍 독립기념관로 1 독립기념관최종현2018-12-10
8천안시동아제약노동조합동아제약(주)충청남도 천안시 서북구 백석공단1로 200-23 (차암동)양승변1975-03-18
9천안시신진운수노동조합신진운수충청남도 천안시 동남구 고래울길 10-3 신진운수합자회사 (구성동)오동환2022-09-20
행정관청명노동조합명사업장명주사무소소재지대표자설립일
243태안군태안항만항운노동조합태안항만항운충청남도 태안군 근흥면 근흥로 1022-60최은경2015-06-29
244태안군채석포항운노동조합채석포항운충청남도 태안군 근흥면 용도로 264송기부2015-08-24
245태안군남면농업협동조합노동조합남면농업협동조합충청남도 태안군 남면 남면로 78진수덕2016-11-17
246태안군태안신문사 노동조합태안신문사충청남도 태안군 태안읍 군청로 32, 신흥빌딩 2층김동이2019-02-22
247태안군태안여객㈜신 노동조합태안여객㈜충청남도 태안군 태안읍 동백로 304남장우2020-03-26
248태안군신화 노동조합신진 서부항운충청남도 태안군 근흥면 신진부두길 35-16이영욱2020-11-24
249태안군신항항운노동조합신진도 신항충청남도 근흥면 신진부두길 35-28정병수2021-01-05
250태안군천지해 노동조합천지해 항운충청남도 태안군 근흥면 마도길 111-3최광진2021-03-09
251태안군서해항운노동조합서해항운충청남도 태안군 소원면 모항항길 122-37송영석2021-04-28
252태안군태안지역건설 기계장비 플랜트 노동조합태안화력충청남도 태안읍 군청13-8 2층 3호장현덕2022-09-02