Overview

Dataset statistics

Number of variables10
Number of observations349
Missing cells232
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.1 KiB
Average record size in memory82.4 B

Variable types

Numeric2
Categorical4
Text3
DateTime1

Dataset

Description경상남도 내 노동조합 설립신고 현황으로, 행정관청명, 노동조합명, 주사무소 소재지, 설립일, 전화번호, 조합원수, 상급단체 등에 대한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15056204

Alerts

정기현황통보 제출 여부 is highly overall correlated with 행정관청명 and 1 other fieldsHigh correlation
미제출 사유1 is highly overall correlated with 조합원수 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 행정관청명High correlation
조합원수 is highly overall correlated with 미제출 사유1High correlation
행정관청명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
상급단체 is highly overall correlated with 미제출 사유1High correlation
미제출 사유1 is highly imbalanced (82.3%)Imbalance
전화번호 has 225 (64.5%) missing valuesMissing
조합원수 has 7 (2.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:48:31.261213
Analysis finished2023-12-10 22:48:32.635961
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct349
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175
Minimum1
Maximum349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T07:48:32.705131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.4
Q188
median175
Q3262
95-th percentile331.6
Maximum349
Range348
Interquartile range (IQR)174

Descriptive statistics

Standard deviation100.89186
Coefficient of variation (CV)0.57652489
Kurtosis-1.2
Mean175
Median Absolute Deviation (MAD)87
Skewness0
Sum61075
Variance10179.167
MonotonicityStrictly increasing
2023-12-11T07:48:32.879243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
231 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
Other values (339) 339
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%

행정관청명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
경상남도 창원시 성산구
51 
경상남도 양산시
49 
경상남도 김해시
45 
경상남도 창원시 마산회원구
32 
경상남도 진주시
26 
Other values (18)
146 

Length

Max length14
Median length8
Mean length9.4727794
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 창원시 성산구 51
14.6%
경상남도 양산시 49
14.0%
경상남도 김해시 45
12.9%
경상남도 창원시 마산회원구 32
9.2%
경상남도 진주시 26
 
7.4%
경상남도 함안군 16
 
4.6%
경상남도 15
 
4.3%
경상남도 창원시 마산합포구 15
 
4.3%
경상남도 사천시 14
 
4.0%
경상남도 거제시 13
 
3.7%
Other values (13) 73
20.9%

Length

2023-12-11T07:48:33.039967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경상남도 349
43.5%
창원시 120
 
14.9%
성산구 51
 
6.4%
양산시 49
 
6.1%
김해시 45
 
5.6%
마산회원구 32
 
4.0%
진주시 26
 
3.2%
함안군 16
 
2.0%
마산합포구 15
 
1.9%
사천시 14
 
1.7%
Other values (14) 86
 
10.7%

노동조합명
Text

Distinct348
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T07:48:33.269496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length23
Mean length11.194842
Min length6

Characters and Unicode

Total characters3907
Distinct characters330
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)99.4%

Sample

1st row경남신중년인생이모작노동조합
2nd row경남항운노동조합
3rd row경남해상산업노동조합
4th row진주항운노동조합
5th row경남지역콘크리트레미콘노동조합
ValueCountFrequency (%)
노동조합 113
 
21.8%
영농조합법인 3
 
0.6%
신흥택시노동조합 2
 
0.4%
주 2
 
0.4%
석전택시 2
 
0.4%
진일교통 2
 
0.4%
경남지역조합 2
 
0.4%
전국자동차노동조합연맹 2
 
0.4%
창원레포츠파크 2
 
0.4%
공무직 2
 
0.4%
Other values (387) 387
74.6%
2023-12-11T07:48:33.688910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 376
 
9.6%
조 367
 
9.4%
합 361
 
9.2%
노 352
 
9.0%
174
 
4.5%
) 69
 
1.8%
( 69
 
1.8%
주 67
 
1.7%
시 60
 
1.5%
산 54
 
1.4%
Other values (320) 1958
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3460
88.6%
Space Separator 174
 
4.5%
Close Punctuation 69
 
1.8%
Open Punctuation 69
 
1.8%
Uppercase Letter 58
 
1.5%
Other Symbol 49
 
1.3%
Lowercase Letter 12
 
0.3%
Other Punctuation 10
 
0.3%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 376
 
10.9%
조 367
 
10.6%
합 361
 
10.4%
노 352
 
10.2%
주 67
 
1.9%
시 60
 
1.7%
산 54
 
1.6%
한 46
 
1.3%
공 41
 
1.2%
경 40
 
1.2%
Other values (282) 1696
49.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
 
10.3%
S 6
 
10.3%
B 4
 
6.9%
T 4
 
6.9%
C 4
 
6.9%
A 4
 
6.9%
R 4
 
6.9%
E 4
 
6.9%
M 4
 
6.9%
G 3
 
5.2%
Other values (9) 15
25.9%
Lowercase Letter
ValueCountFrequency (%)
t 4
33.3%
e 2
16.7%
s 2
16.7%
o 2
16.7%
x 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 3
30.0%
, 2
20.0%
. 2
20.0%
: 2
20.0%
/ 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
2 2
33.3%
8 1
16.7%
3 1
16.7%
Space Separator
ValueCountFrequency (%)
174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3508
89.8%
Common 328
 
8.4%
Latin 70
 
1.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 376
 
10.7%
조 367
 
10.5%
합 361
 
10.3%
노 352
 
10.0%
주 67
 
1.9%
시 60
 
1.7%
산 54
 
1.5%
㈜ 49
 
1.4%
한 46
 
1.3%
공 41
 
1.2%
Other values (282) 1735
49.5%
Latin
ValueCountFrequency (%)
K 6
 
8.6%
S 6
 
8.6%
B 4
 
5.7%
T 4
 
5.7%
C 4
 
5.7%
A 4
 
5.7%
R 4
 
5.7%
E 4
 
5.7%
t 4
 
5.7%
M 4
 
5.7%
Other values (15) 26
37.1%
Common
ValueCountFrequency (%)
174
53.0%
) 69
 
21.0%
( 69
 
21.0%
& 3
 
0.9%
0 2
 
0.6%
2 2
 
0.6%
, 2
 
0.6%
. 2
 
0.6%
: 2
 
0.6%
8 1
 
0.3%
Other values (2) 2
 
0.6%
Han
ValueCountFrequency (%)
新 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3459
88.5%
ASCII 398
 
10.2%
None 49
 
1.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 376
 
10.9%
조 367
 
10.6%
합 361
 
10.4%
노 352
 
10.2%
주 67
 
1.9%
시 60
 
1.7%
산 54
 
1.6%
한 46
 
1.3%
공 41
 
1.2%
경 40
 
1.2%
Other values (281) 1695
49.0%
ASCII
ValueCountFrequency (%)
174
43.7%
) 69
 
17.3%
( 69
 
17.3%
K 6
 
1.5%
S 6
 
1.5%
B 4
 
1.0%
T 4
 
1.0%
C 4
 
1.0%
A 4
 
1.0%
R 4
 
1.0%
Other values (27) 54
 
13.6%
None
ValueCountFrequency (%)
㈜ 49
100.0%
CJK
ValueCountFrequency (%)
新 1
100.0%

주사무소소재지
Text

Distinct336
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T07:48:34.029706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length23.303725
Min length13

Characters and Unicode

Total characters8133
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique323 ?
Unique (%)92.6%

Sample

1st row경남 창원시마산합포구 용마로 77다이노스빌딩 980-1185,501호
2nd row경남 창원시 마산회원구 무역로 26(양덕동)
3rd row경남 통영시 메데산업길 25
4th row경남 진주시 촉석로 233-1(수정동)
5th row경남 창원시 마산합포구 연동로 119(망곡리)
ValueCountFrequency (%)
경남 353
 
19.0%
창원시 128
 
6.9%
성산구 52
 
2.8%
양산시 49
 
2.6%
김해시 45
 
2.4%
마산회원구 33
 
1.8%
진주시 28
 
1.5%
마산합포구 17
 
0.9%
함안군 16
 
0.9%
거제시 15
 
0.8%
Other values (697) 1118
60.3%
2023-12-11T07:48:34.508224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1539
 
18.9%
남 406
 
5.0%
경 362
 
4.5%
시 308
 
3.8%
로 268
 
3.3%
1 263
 
3.2%
산 230
 
2.8%
동 217
 
2.7%
원 193
 
2.4%
2 176
 
2.2%
Other values (260) 4171
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4878
60.0%
Space Separator 1539
 
18.9%
Decimal Number 1272
 
15.6%
Close Punctuation 170
 
2.1%
Open Punctuation 170
 
2.1%
Dash Punctuation 62
 
0.8%
Other Punctuation 31
 
0.4%
Uppercase Letter 9
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 406
 
8.3%
경 362
 
7.4%
시 308
 
6.3%
로 268
 
5.5%
산 230
 
4.7%
동 217
 
4.4%
원 193
 
4.0%
창 172
 
3.5%
길 141
 
2.9%
구 134
 
2.7%
Other values (236) 2447
50.2%
Decimal Number
ValueCountFrequency (%)
1 263
20.7%
2 176
13.8%
3 143
11.2%
4 129
10.1%
5 127
10.0%
0 105
 
8.3%
9 95
 
7.5%
6 85
 
6.7%
7 79
 
6.2%
8 70
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
S 2
22.2%
F 1
11.1%
B 1
11.1%
J 1
11.1%
X 1
11.1%
K 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 27
87.1%
. 4
 
12.9%
Space Separator
ValueCountFrequency (%)
1539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4880
60.0%
Common 3244
39.9%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 406
 
8.3%
경 362
 
7.4%
시 308
 
6.3%
로 268
 
5.5%
산 230
 
4.7%
동 217
 
4.4%
원 193
 
4.0%
창 172
 
3.5%
길 141
 
2.9%
구 134
 
2.7%
Other values (237) 2449
50.2%
Common
ValueCountFrequency (%)
1539
47.4%
1 263
 
8.1%
2 176
 
5.4%
) 170
 
5.2%
( 170
 
5.2%
3 143
 
4.4%
4 129
 
4.0%
5 127
 
3.9%
0 105
 
3.2%
9 95
 
2.9%
Other values (6) 327
 
10.1%
Latin
ValueCountFrequency (%)
T 2
22.2%
S 2
22.2%
F 1
11.1%
B 1
11.1%
J 1
11.1%
X 1
11.1%
K 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4878
60.0%
ASCII 3253
40.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1539
47.3%
1 263
 
8.1%
2 176
 
5.4%
) 170
 
5.2%
( 170
 
5.2%
3 143
 
4.4%
4 129
 
4.0%
5 127
 
3.9%
0 105
 
3.2%
9 95
 
2.9%
Other values (13) 336
 
10.3%
Hangul
ValueCountFrequency (%)
남 406
 
8.3%
경 362
 
7.4%
시 308
 
6.3%
로 268
 
5.5%
산 230
 
4.7%
동 217
 
4.4%
원 193
 
4.0%
창 172
 
3.5%
길 141
 
2.9%
구 134
 
2.7%
Other values (236) 2447
50.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

설립일
Date

Distinct336
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1961-06-02 00:00:00
Maximum2023-01-25 00:00:00
2023-12-11T07:48:34.657991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:35.132910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct124
Distinct (%)100.0%
Missing225
Missing (%)64.5%
Memory size2.9 KiB
2023-12-11T07:48:35.457630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.024194
Min length12

Characters and Unicode

Total characters1491
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

Unique124 ?
Unique (%)100.0%

Sample

1st row055-294-2168
2nd row055-645-9895
3rd row055-758-7755
4th row055-271-6815
5th row055-242-1973
ValueCountFrequency (%)
055-233-8641 1
 
0.8%
055-247-8023 1
 
0.8%
055-333-0771 1
 
0.8%
055-851-5590 1
 
0.8%
055-835-2655 1
 
0.8%
055-851-2190 1
 
0.8%
055-851-7516 1
 
0.8%
055-970-0100 1
 
0.8%
055-742-6800 1
 
0.8%
055-759-0868 1
 
0.8%
Other values (114) 114
91.9%
2023-12-11T07:48:35.882125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 316
21.2%
- 248
16.6%
0 244
16.4%
2 122
 
8.2%
7 102
 
6.8%
1 88
 
5.9%
9 87
 
5.8%
3 86
 
5.8%
8 75
 
5.0%
6 71
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1243
83.4%
Dash Punctuation 248
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 316
25.4%
0 244
19.6%
2 122
 
9.8%
7 102
 
8.2%
1 88
 
7.1%
9 87
 
7.0%
3 86
 
6.9%
8 75
 
6.0%
6 71
 
5.7%
4 52
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 316
21.2%
- 248
16.6%
0 244
16.4%
2 122
 
8.2%
7 102
 
6.8%
1 88
 
5.9%
9 87
 
5.8%
3 86
 
5.8%
8 75
 
5.0%
6 71
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 316
21.2%
- 248
16.6%
0 244
16.4%
2 122
 
8.2%
7 102
 
6.8%
1 88
 
5.9%
9 87
 
5.8%
3 86
 
5.8%
8 75
 
5.0%
6 71
 
4.8%

조합원수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct154
Distinct (%)45.0%
Missing7
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean116.95906
Minimum1
Maximum4270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T07:48:36.063349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q118
median43
Q389.75
95-th percentile348
Maximum4270
Range4269
Interquartile range (IQR)71.75

Descriptive statistics

Standard deviation354.56651
Coefficient of variation (CV)3.0315437
Kurtosis84.509546
Mean116.95906
Median Absolute Deviation (MAD)30
Skewness8.6140157
Sum40000
Variance125717.41
MonotonicityNot monotonic
2023-12-11T07:48:36.187962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 8
 
2.3%
2 8
 
2.3%
3 7
 
2.0%
11 7
 
2.0%
5 7
 
2.0%
21 6
 
1.7%
10 6
 
1.7%
29 6
 
1.7%
45 6
 
1.7%
32 6
 
1.7%
Other values (144) 275
78.8%
(Missing) 7
 
2.0%
ValueCountFrequency (%)
1 1
 
0.3%
2 8
2.3%
3 7
2.0%
4 3
 
0.9%
5 7
2.0%
6 2
 
0.6%
7 6
1.7%
8 8
2.3%
9 5
1.4%
10 6
1.7%
ValueCountFrequency (%)
4270 1
0.3%
3233 1
0.3%
2951 1
0.3%
1684 1
0.3%
1005 1
0.3%
838 1
0.3%
705 1
0.3%
634 1
0.3%
574 1
0.3%
532 1
0.3%

상급단체
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
미가맹
141 
한)금속노련
45 
미가입
23 
한국노총
17 
한)화학노련
16 
Other values (41)
107 

Length

Max length14
Median length13
Mean length4.4441261
Min length3

Unique

Unique20 ?
Unique (%)5.7%

Sample

1st row미가맹
2nd row한)항운노련
3rd row한)해상노련
4th row한)항운노련
5th row한)화학노련

Common Values

ValueCountFrequency (%)
미가맹 141
40.4%
한)금속노련 45
 
12.9%
미가입 23
 
6.6%
한국노총 17
 
4.9%
한)화학노련 16
 
4.6%
<NA> 11
 
3.2%
한)연합노련 8
 
2.3%
한)고무노련 8
 
2.3%
한)외기노련 8
 
2.3%
화학노련 6
 
1.7%
Other values (36) 66
18.9%

Length

2023-12-11T07:48:36.310828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미가맹 141
39.1%
한)금속노련 45
 
12.5%
미가입 23
 
6.4%
한국노총 17
 
4.7%
한)화학노련 16
 
4.4%
na 11
 
3.0%
음 10
 
2.8%
없 10
 
2.8%
한)외기노련 8
 
2.2%
한)고무노련 8
 
2.2%
Other values (38) 72
19.9%

정기현황통보 제출 여부
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
제출
287 
제출
47 
미제출
 
15

Length

Max length3
Median length2
Mean length2.1776504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제출 287
82.2%
제출 47
 
13.5%
미제출 15
 
4.3%

Length

2023-12-11T07:48:36.434942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:36.542618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제출 334
95.7%
미제출 15
 
4.3%

미제출 사유1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
334 
휴면노조/해산노조
 
13
기타
 
2

Length

Max length9
Median length4
Mean length4.1747851
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 334
95.7%
휴면노조/해산노조 13
 
3.7%
기타 2
 
0.6%

Length

2023-12-11T07:48:36.666387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:48:36.766793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 334
95.7%
휴면노조/해산노조 13
 
3.7%
기타 2
 
0.6%

Interactions

2023-12-11T07:48:32.058453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:31.868362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:32.156211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:48:31.958557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:48:36.836578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정관청명조합원수상급단체정기현황통보 제출 여부미제출 사유1
연번1.0000.9550.0000.6740.5690.691
행정관청명0.9551.0000.0000.8640.8940.788
조합원수0.0000.0001.0000.6690.000NaN
상급단체0.6740.8640.6691.0000.7131.000
정기현황통보 제출 여부0.5690.8940.0000.7131.000NaN
미제출 사유10.6910.788NaN1.000NaN1.000
2023-12-11T07:48:36.938498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정관청명정기현황통보 제출 여부상급단체미제출 사유1
행정관청명1.0000.7300.3750.476
정기현황통보 제출 여부0.7301.0000.4211.000
상급단체0.3750.4211.0000.756
미제출 사유10.4761.0000.7561.000
2023-12-11T07:48:37.037054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조합원수행정관청명상급단체정기현황통보 제출 여부미제출 사유1
연번1.000-0.1310.7650.2810.4080.400
조합원수-0.1311.0000.0000.3230.0001.000
행정관청명0.7650.0001.0000.3750.7300.476
상급단체0.2810.3230.3751.0000.4210.756
정기현황통보 제출 여부0.4080.0000.7300.4211.0001.000
미제출 사유10.4001.0000.4760.7561.0001.000

Missing values

2023-12-11T07:48:32.265059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:48:32.444773image/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.
2023-12-11T07:48:32.579280image/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

연번행정관청명노동조합명주사무소소재지설립일전화번호조합원수상급단체정기현황통보 제출 여부미제출 사유1
01경상남도경남신중년인생이모작노동조합경남 창원시마산합포구 용마로 77다이노스빌딩 980-1185,501호2022-05-10<NA>13미가맹제출<NA>
12경상남도경남항운노동조합경남 창원시 마산회원구 무역로 26(양덕동)1980-11-05055-294-2168634한)항운노련제출<NA>
23경상남도경남해상산업노동조합경남 통영시 메데산업길 251981-02-25055-645-98951684한)해상노련제출<NA>
34경상남도진주항운노동조합경남 진주시 촉석로 233-1(수정동)1981-03-01055-758-775515한)항운노련제출<NA>
45경상남도경남지역콘크리트레미콘노동조합경남 창원시 마산합포구 연동로 119(망곡리)2001-10-25055-271-68156한)화학노련제출<NA>
56경상남도경남지역일반노동조합경남 창원시 마산합포구 월영동 14길 14 근로자복지회관 2층2007-10-31055-242-1973136한국노총제출<NA>
67경상남도경남청년유니온노동조합경남 창원시 의창구 퇴촌로 21, 2층 201호2013-08-09<NA>89미가맹제출<NA>
78경상남도멸치권현망수산업협동조합경남 통영시 멘데해안길 39(정량동 1405번지)2014-02-13055-645-541321미가맹제출<NA>
89경상남도경남신용보증재단노동조합경남 창원시 의창구 원이대로362, 1층(창원컨벤션센터 경남신용보증재단 창원지점 내)2017-05-17055-715-522376미가맹제출<NA>
910경상남도경남대리운전노동조합경남 창원시 성산구 마디미서로64 306호 창원노동복지관 3층2019-01-07<NA>80민)서비스산업노련제출<NA>
연번행정관청명노동조합명주사무소소재지설립일전화번호조합원수상급단체정기현황통보 제출 여부미제출 사유1
339340경상남도 하동군섬진강사랑의집노동조합경남 하동군 하동읍 화심길 51-112023-01-25<NA>7미가맹제출<NA>
340341경상남도 산청군산청군농협협동조합노동조합경남 산청군 산청읍 웅석봉로 32000-08-02055-970-2628156<NA>제출<NA>
341342경상남도 산청군㈜대교 산청휴게소노동조합경남 산청군 단성면 통영대전 고속도로 762000-12-01055-973-597057<NA>제출<NA>
342343경상남도 함양군주간함양신문사노동조합경남 함양군 함양읍 고운로 60-1, 3층2012-04-16055-963-42113미가맹제출<NA>
343344경상남도 함양군㈜함양지리산고속노동조합경남 함양군 함양읍 한들로 159 함양시외터미널 2층1982-03-14<NA>64전)자동차노련제출<NA>
344345경상남도 거창군한국승강기대학교 노동조합경남 거창군 거창읍 운정1길 120, 한국승강기대학2019-05-07<NA>8미가입미제출휴면노조/해산노조
345346경상남도 거창군거창건설노동조합경남 거창군 거창읍 강양4길1999-11-04<NA>44미가입미제출휴면노조/해산노조
346347경상남도 거창군㈜80번택시 노동조합경남 거창군 거창읍 중앙로1길2009-08-05<NA>17미가입미제출휴면노조/해산노조
347348경상남도 합천군경남문화예술진흥원노동조합경남 합천군 덕곡면 학리1길 582019-02-21055-230-886543지방공기업노련제출<NA>
348349경상남도 합천군㈜보림산업노동조합경남 합천군 용주면 연촌우곡길 165-242005-05-30055-933-83097화학노련제출<NA>