Overview

Dataset statistics

Number of variables4
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.9 B

Variable types

Numeric1
Text3

Dataset

Description노동조합 및 노동관계조정법에 따른 성남시 내 노동조합 현황 데이터이며, 조합명, 사업장명, 주소 항목을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15032488/fileData.do

Alerts

연번 has unique valuesUnique
노동조합단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:58:56.413132
Analysis finished2023-12-12 03:58:57.348338
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T12:58:57.429858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2023-12-12T12:58:57.649104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

노동조합단체명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T12:58:57.934338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11.366197
Min length7

Characters and Unicode

Total characters807
Distinct characters155
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row성남시의료원 의사노동조합
2nd row에코우드㈜성남지사 노동조합
3rd row대아운수 노동조합
4th row앰엔테크㈜노동조합
5th row계원예고강사 노동조합
ValueCountFrequency (%)
노동조합 59
42.4%
sk플래닛 2
 
1.4%
분당서울대학교병원 2
 
1.4%
성남시의료원 1
 
0.7%
신우설비(주 1
 
0.7%
대원버스 1
 
0.7%
영일운수 1
 
0.7%
성남운수 1
 
0.7%
성남도시개발공사 1
 
0.7%
성남문화재단 1
 
0.7%
Other values (69) 69
49.6%
2023-12-12T12:58:58.397191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 73
 
9.0%
합 73
 
9.0%
노 71
 
8.8%
조 71
 
8.8%
68
 
8.4%
성 20
 
2.5%
시 14
 
1.7%
원 14
 
1.7%
남 13
 
1.6%
수 13
 
1.6%
Other values (145) 377
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
85.4%
Space Separator 68
 
8.4%
Uppercase Letter 20
 
2.5%
Close Punctuation 12
 
1.5%
Open Punctuation 12
 
1.5%
Other Symbol 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 73
 
10.6%
합 73
 
10.6%
노 71
 
10.3%
조 71
 
10.3%
성 20
 
2.9%
시 14
 
2.0%
원 14
 
2.0%
남 13
 
1.9%
수 13
 
1.9%
대 12
 
1.7%
Other values (129) 315
45.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
20.0%
K 3
15.0%
I 2
10.0%
T 2
10.0%
C 2
10.0%
A 1
 
5.0%
O 1
 
5.0%
M 1
 
5.0%
Y 1
 
5.0%
P 1
 
5.0%
Other values (2) 2
10.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
86.1%
Common 92
 
11.4%
Latin 20
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 73
 
10.5%
합 73
 
10.5%
노 71
 
10.2%
조 71
 
10.2%
성 20
 
2.9%
시 14
 
2.0%
원 14
 
2.0%
남 13
 
1.9%
수 13
 
1.9%
대 12
 
1.7%
Other values (130) 321
46.2%
Latin
ValueCountFrequency (%)
S 4
20.0%
K 3
15.0%
I 2
10.0%
T 2
10.0%
C 2
10.0%
A 1
 
5.0%
O 1
 
5.0%
M 1
 
5.0%
Y 1
 
5.0%
P 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
68
73.9%
) 12
 
13.0%
( 12
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
85.4%
ASCII 112
 
13.9%
None 6
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 73
 
10.6%
합 73
 
10.6%
노 71
 
10.3%
조 71
 
10.3%
성 20
 
2.9%
시 14
 
2.0%
원 14
 
2.0%
남 13
 
1.9%
수 13
 
1.9%
대 12
 
1.7%
Other values (129) 315
45.7%
ASCII
ValueCountFrequency (%)
68
60.7%
) 12
 
10.7%
( 12
 
10.7%
S 4
 
3.6%
K 3
 
2.7%
I 2
 
1.8%
T 2
 
1.8%
C 2
 
1.8%
A 1
 
0.9%
O 1
 
0.9%
Other values (5) 5
 
4.5%
None
ValueCountFrequency (%)
㈜ 6
100.0%

사업장명
Text

Distinct69
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T12:58:58.713745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length13
Mean length6.5633803
Min length2

Characters and Unicode

Total characters466
Distinct characters157
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)94.4%

Sample

1st row성남시의료원
2nd row에코우드㈜
3rd row대아운수㈜
4th row앰엔테크㈜
5th row계원예고
ValueCountFrequency (%)
sk플래닛 2
 
2.7%
성남도시개발공사 2
 
2.7%
평화기업 1
 
1.4%
신우설비(주 1
 
1.4%
주)환경개발 1
 
1.4%
대명운수 1
 
1.4%
주)한진종합용역 1
 
1.4%
성남운수 1
 
1.4%
영일운수 1
 
1.4%
병원 1
 
1.4%
Other values (62) 62
83.8%
2023-12-12T12:58:59.220832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 18
 
3.9%
원 14
 
3.0%
시 14
 
3.0%
수 13
 
2.8%
주 13
 
2.8%
운 12
 
2.6%
) 12
 
2.6%
( 12
 
2.6%
남 12
 
2.6%
대 11
 
2.4%
Other values (147) 335
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
88.2%
Uppercase Letter 20
 
4.3%
Close Punctuation 12
 
2.6%
Open Punctuation 12
 
2.6%
Other Symbol 8
 
1.7%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 18
 
4.4%
원 14
 
3.4%
시 14
 
3.4%
수 13
 
3.2%
주 13
 
3.2%
운 12
 
2.9%
남 12
 
2.9%
대 11
 
2.7%
한 8
 
1.9%
기 7
 
1.7%
Other values (131) 289
70.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
20.0%
K 3
15.0%
T 2
10.0%
I 2
10.0%
C 2
10.0%
A 1
 
5.0%
M 1
 
5.0%
Y 1
 
5.0%
F 1
 
5.0%
O 1
 
5.0%
Other values (2) 2
10.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
89.9%
Common 27
 
5.8%
Latin 20
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 18
 
4.3%
원 14
 
3.3%
시 14
 
3.3%
수 13
 
3.1%
주 13
 
3.1%
운 12
 
2.9%
남 12
 
2.9%
대 11
 
2.6%
한 8
 
1.9%
㈜ 8
 
1.9%
Other values (132) 296
70.6%
Latin
ValueCountFrequency (%)
S 4
20.0%
K 3
15.0%
T 2
10.0%
I 2
10.0%
C 2
10.0%
A 1
 
5.0%
M 1
 
5.0%
Y 1
 
5.0%
F 1
 
5.0%
O 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
) 12
44.4%
( 12
44.4%
3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
88.2%
ASCII 47
 
10.1%
None 8
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 18
 
4.4%
원 14
 
3.4%
시 14
 
3.4%
수 13
 
3.2%
주 13
 
3.2%
운 12
 
2.9%
남 12
 
2.9%
대 11
 
2.7%
한 8
 
1.9%
기 7
 
1.7%
Other values (131) 289
70.3%
ASCII
ValueCountFrequency (%)
) 12
25.5%
( 12
25.5%
S 4
 
8.5%
3
 
6.4%
K 3
 
6.4%
T 2
 
4.3%
I 2
 
4.3%
C 2
 
4.3%
A 1
 
2.1%
M 1
 
2.1%
Other values (5) 5
10.6%
None
ValueCountFrequency (%)
㈜ 8
100.0%

노동조합주소
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T12:58:59.626642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length29.225352
Min length14

Characters and Unicode

Total characters2075
Distinct characters151
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

Unique69 ?
Unique (%)97.2%

Sample

1st row성남시 수정구 수정로171번길 10
2nd row성남시 수정구 탄천로 687
3rd row성남시 중원구 둔촌대로268번길 26
4th row성남시 분당구 탄천로 247(야탑동 404)
5th row서울시 성북구 보문로29길 48-105
ValueCountFrequency (%)
성남시 70
 
16.0%
경기도 56
 
12.8%
중원구 32
 
7.3%
분당구 26
 
5.9%
상대원동 14
 
3.2%
수정구 11
 
2.5%
하대원동 9
 
2.1%
야탑동 7
 
1.6%
둔촌대로 7
 
1.6%
판교로 6
 
1.4%
Other values (147) 199
45.5%
2023-12-12T12:59:00.309100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
378
 
18.2%
성 78
 
3.8%
남 77
 
3.7%
시 75
 
3.6%
구 74
 
3.6%
로 71
 
3.4%
기 64
 
3.1%
원 62
 
3.0%
동 61
 
2.9%
경 56
 
2.7%
Other values (141) 1079
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1262
60.8%
Space Separator 378
 
18.2%
Decimal Number 287
 
13.8%
Open Punctuation 54
 
2.6%
Close Punctuation 54
 
2.6%
Other Punctuation 19
 
0.9%
Uppercase Letter 12
 
0.6%
Dash Punctuation 5
 
0.2%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 78
 
6.2%
남 77
 
6.1%
시 75
 
5.9%
구 74
 
5.9%
로 71
 
5.6%
기 64
 
5.1%
원 62
 
4.9%
동 61
 
4.8%
경 56
 
4.4%
도 56
 
4.4%
Other values (117) 588
46.6%
Decimal Number
ValueCountFrequency (%)
1 49
17.1%
2 49
17.1%
3 36
12.5%
5 30
10.5%
0 26
9.1%
4 25
8.7%
8 22
7.7%
7 19
 
6.6%
6 16
 
5.6%
9 15
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
T 2
16.7%
I 2
16.7%
B 2
16.7%
H 1
 
8.3%
L 1
 
8.3%
D 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
s 2
50.0%
Space Separator
ValueCountFrequency (%)
378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
60.8%
Common 797
38.4%
Latin 16
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 78
 
6.2%
남 77
 
6.1%
시 75
 
5.9%
구 74
 
5.9%
로 71
 
5.6%
기 64
 
5.1%
원 62
 
4.9%
동 61
 
4.8%
경 56
 
4.4%
도 56
 
4.4%
Other values (117) 588
46.6%
Common
ValueCountFrequency (%)
378
47.4%
( 54
 
6.8%
) 54
 
6.8%
1 49
 
6.1%
2 49
 
6.1%
3 36
 
4.5%
5 30
 
3.8%
0 26
 
3.3%
4 25
 
3.1%
8 22
 
2.8%
Other values (5) 74
 
9.3%
Latin
ValueCountFrequency (%)
A 3
18.8%
T 2
12.5%
I 2
12.5%
B 2
12.5%
k 2
12.5%
s 2
12.5%
H 1
 
6.2%
L 1
 
6.2%
D 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
60.8%
ASCII 813
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
378
46.5%
( 54
 
6.6%
) 54
 
6.6%
1 49
 
6.0%
2 49
 
6.0%
3 36
 
4.4%
5 30
 
3.7%
0 26
 
3.2%
4 25
 
3.1%
8 22
 
2.7%
Other values (14) 90
 
11.1%
Hangul
ValueCountFrequency (%)
성 78
 
6.2%
남 77
 
6.1%
시 75
 
5.9%
구 74
 
5.9%
로 71
 
5.6%
기 64
 
5.1%
원 62
 
4.9%
동 61
 
4.8%
경 56
 
4.4%
도 56
 
4.4%
Other values (117) 588
46.6%

Interactions

2023-12-12T12:58:57.048318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:59:00.458496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번노동조합단체명사업장명노동조합주소
연번1.0001.0000.8860.953
노동조합단체명1.0001.0001.0001.000
사업장명0.8861.0001.0000.994
노동조합주소0.9531.0000.9941.000

Missing values

2023-12-12T12:58:57.218925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:58:57.312292image/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

연번노동조합단체명사업장명노동조합주소
01성남시의료원 의사노동조합성남시의료원성남시 수정구 수정로171번길 10
12에코우드㈜성남지사 노동조합에코우드㈜성남시 수정구 탄천로 687
23대아운수 노동조합대아운수㈜성남시 중원구 둔촌대로268번길 26
34앰엔테크㈜노동조합앰엔테크㈜성남시 분당구 탄천로 247(야탑동 404)
45계원예고강사 노동조합계원예고서울시 성북구 보문로29길 48-105
56성남시내버스㈜민주주의 노동조합성남시내버스㈜성남시 수정구 산성대로 393, 2층
67청송기업 노동조합박재철성남시 중원구 마지로 42
78대상델리하임㈜노동조합대상델리하임㈜성남시 중원구 둔촌대로 360
89분당서울대학교병원 의료요원 노동조합분당서울대학교병원성남시 분당구 구미로173번길 82
910성진택시(유)노동조합성진택시성남시 중원구 둔촌대로263번길 6
연번노동조합단체명사업장명노동조합주소
6162KOTITI시험연구원 노동조합KOTITI시험연구원경기도 성남시 중원구 사기막골로 111 (상대원동)
6263동원시스템즈 노동조합동원시스템즈경기도 성남시 중원구 갈마치로 302 우림라이온스밸리 5차 A동 607호 (상대원동)
6364삼영전자 노동조합삼영전자경기도 성남시 중원구 사기막골로 47 (상대원동)
6465파리크라상 노동조합파리크라상경기도 성남시 중원구 사기막골로31번길 4 (상대원동)
6566성아운수 노동조합성아운수경기도 성남시 분당구 판교로 747 (야탑동)
6667성일운수 노동조합성일운수경기도 성남시 중원구 둔촌대로 205 (하대원동)
6768세연운수 노동조합세연운수경기도 성남시 수정구 설개로 97 (사송동)
6869익수기업(유한) 노동조합익수기업경기도 성남시 중원구 둔촌대로194번길 4, (하대원동)
6970에스콰이아노동조합에스콰이어경기도 성남시 중원구 사기막골로 164, 델리스빌딩 4층(상대원동)
7071광성고무롤 노동조합(음성)광성고무롤경기도 성남시 중원구 사기막골로62번길 37 (상대원동)