Overview

Dataset statistics

Number of variables15
Number of observations2919
Missing cells10075
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory353.6 KiB
Average record size in memory124.0 B

Variable types

Text8
Categorical1
Numeric4
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author지방자치단체
URLhttps://www.data.go.kr/data/15107744/standard.do

Alerts

노동조합형태 is highly imbalanced (72.0%)Imbalance
소재지지번주소 has 1690 (57.9%) missing valuesMissing
소재지전화번호 has 2552 (87.4%) missing valuesMissing
소속연합단체명 has 1794 (61.5%) missing valuesMissing
대표자명 has 1288 (44.1%) missing valuesMissing
조합원수 has 1263 (43.3%) missing valuesMissing
소속사업장명 has 1477 (50.6%) missing valuesMissing

Reproduction

Analysis started2024-05-11 10:34:23.261265
Analysis finished2024-05-11 10:34:33.183961
Duration9.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노동조합명
Text

Distinct2691
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
2024-05-11T10:34:33.621436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length11.504282
Min length2

Characters and Unicode

Total characters33581
Distinct characters620
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2467 ?
Unique (%)84.5%

Sample

1st row원주지역 노동조합
2nd row원주시시설관리공단 일반직 노동조합
3rd row원흥산업노동조합
4th row자원재생노동조합
5th row원주시 시설관리공단 노동조합
ValueCountFrequency (%)
노동조합 1194
 
24.9%
공무직 28
 
0.6%
주식회사 21
 
0.4%
전국자동차노동조합연맹 15
 
0.3%
전국연합노동조합연맹 12
 
0.3%
한국노총 12
 
0.3%
영업 10
 
0.2%
직원노동조합 9
 
0.2%
단위노동조합 7
 
0.1%
노동조 7
 
0.1%
Other values (3010) 3484
72.6%
2024-05-11T10:34:34.982766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2938
 
8.7%
노 2790
 
8.3%
합 2778
 
8.3%
조 2766
 
8.2%
1891
 
5.6%
주 758
 
2.3%
( 588
 
1.8%
) 588
 
1.8%
시 465
 
1.4%
원 443
 
1.3%
Other values (610) 17576
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29816
88.8%
Space Separator 1891
 
5.6%
Open Punctuation 600
 
1.8%
Close Punctuation 600
 
1.8%
Uppercase Letter 437
 
1.3%
Other Symbol 145
 
0.4%
Lowercase Letter 32
 
0.1%
Decimal Number 31
 
0.1%
Other Punctuation 26
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2938
 
9.9%
노 2790
 
9.4%
합 2778
 
9.3%
조 2766
 
9.3%
주 758
 
2.5%
시 465
 
1.6%
원 443
 
1.5%
공 392
 
1.3%
산 367
 
1.2%
대 353
 
1.2%
Other values (552) 15766
52.9%
Uppercase Letter
ValueCountFrequency (%)
S 65
14.9%
C 63
14.4%
K 36
 
8.2%
T 34
 
7.8%
M 25
 
5.7%
I 23
 
5.3%
B 21
 
4.8%
E 18
 
4.1%
N 18
 
4.1%
A 17
 
3.9%
Other values (14) 117
26.8%
Lowercase Letter
ValueCountFrequency (%)
t 7
21.9%
s 4
12.5%
o 4
12.5%
e 3
9.4%
r 3
9.4%
i 2
 
6.2%
h 2
 
6.2%
n 2
 
6.2%
w 1
 
3.1%
j 1
 
3.1%
Other values (3) 3
9.4%
Decimal Number
ValueCountFrequency (%)
1 8
25.8%
2 7
22.6%
8 5
16.1%
0 3
 
9.7%
3 2
 
6.5%
5 2
 
6.5%
4 2
 
6.5%
6 1
 
3.2%
9 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 11
42.3%
. 9
34.6%
: 3
 
11.5%
· 2
 
7.7%
/ 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 588
98.0%
[ 12
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 588
98.0%
] 12
 
2.0%
Space Separator
ValueCountFrequency (%)
1891
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29959
89.2%
Common 3151
 
9.4%
Latin 469
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2938
 
9.8%
노 2790
 
9.3%
합 2778
 
9.3%
조 2766
 
9.2%
주 758
 
2.5%
시 465
 
1.6%
원 443
 
1.5%
공 392
 
1.3%
산 367
 
1.2%
대 353
 
1.2%
Other values (551) 15909
53.1%
Latin
ValueCountFrequency (%)
S 65
13.9%
C 63
13.4%
K 36
 
7.7%
T 34
 
7.2%
M 25
 
5.3%
I 23
 
4.9%
B 21
 
4.5%
E 18
 
3.8%
N 18
 
3.8%
A 17
 
3.6%
Other values (27) 149
31.8%
Common
ValueCountFrequency (%)
1891
60.0%
( 588
 
18.7%
) 588
 
18.7%
] 12
 
0.4%
[ 12
 
0.4%
& 11
 
0.3%
. 9
 
0.3%
1 8
 
0.3%
2 7
 
0.2%
8 5
 
0.2%
Other values (10) 20
 
0.6%
Han
ValueCountFrequency (%)
新 1
50.0%
人 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29814
88.8%
ASCII 3618
 
10.8%
None 147
 
0.4%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2938
 
9.9%
노 2790
 
9.4%
합 2778
 
9.3%
조 2766
 
9.3%
주 758
 
2.5%
시 465
 
1.6%
원 443
 
1.5%
공 392
 
1.3%
산 367
 
1.2%
대 353
 
1.2%
Other values (550) 15764
52.9%
ASCII
ValueCountFrequency (%)
1891
52.3%
( 588
 
16.3%
) 588
 
16.3%
S 65
 
1.8%
C 63
 
1.7%
K 36
 
1.0%
T 34
 
0.9%
M 25
 
0.7%
I 23
 
0.6%
B 21
 
0.6%
Other values (46) 284
 
7.8%
None
ValueCountFrequency (%)
㈜ 145
98.6%
· 2
 
1.4%
CJK
ValueCountFrequency (%)
新 1
50.0%
人 1
50.0%

노동조합형태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
기업단위노조
2594 
지역단위노조
 
228
전국단위노조
 
53
단위노조산하조직
 
26
연합단체
 
18

Length

Max length8
Median length6
Mean length6.0054813
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기업단위노조 2594
88.9%
지역단위노조 228
 
7.8%
전국단위노조 53
 
1.8%
단위노조산하조직 26
 
0.9%
연합단체 18
 
0.6%

Length

2024-05-11T10:34:35.591371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:34:35.996574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업단위노조 2594
88.9%
지역단위노조 228
 
7.8%
전국단위노조 53
 
1.8%
단위노조산하조직 26
 
0.9%
연합단체 18
 
0.6%

소재지도로명주소
Text

Distinct2513
Distinct (%)86.4%
Missing11
Missing (%)0.4%
Memory size22.9 KiB
2024-05-11T10:34:36.778704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length23.55055
Min length13

Characters and Unicode

Total characters68485
Distinct characters514
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2207 ?
Unique (%)75.9%

Sample

1st row강원도 원주시 시청로 524
2nd row강원도 원주시 남원로 487
3rd row강원도 원주시 치악로 1517
4th row강원도 원주시 흥업면 수루니길 116
5th row강원도 원주시 원문로118번길 7-2
ValueCountFrequency (%)
경기도 655
 
4.5%
서울특별시 370
 
2.5%
경상남도 242
 
1.7%
부산광역시 216
 
1.5%
경상북도 171
 
1.2%
인천광역시 168
 
1.2%
전라북도 165
 
1.1%
충청남도 144
 
1.0%
강원도 142
 
1.0%
군산시 138
 
0.9%
Other values (3999) 12156
83.4%
2024-05-11T10:34:38.235224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11686
 
17.1%
시 2784
 
4.1%
로 2452
 
3.6%
1 2068
 
3.0%
도 1987
 
2.9%
동 1794
 
2.6%
구 1602
 
2.3%
2 1443
 
2.1%
) 1389
 
2.0%
( 1389
 
2.0%
Other values (504) 39891
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43102
62.9%
Space Separator 11686
 
17.1%
Decimal Number 10181
 
14.9%
Close Punctuation 1389
 
2.0%
Open Punctuation 1389
 
2.0%
Dash Punctuation 468
 
0.7%
Other Punctuation 176
 
0.3%
Uppercase Letter 82
 
0.1%
Lowercase Letter 6
 
< 0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2784
 
6.5%
로 2452
 
5.7%
도 1987
 
4.6%
동 1794
 
4.2%
구 1602
 
3.7%
산 1298
 
3.0%
경 1264
 
2.9%
길 1051
 
2.4%
원 1017
 
2.4%
광 963
 
2.2%
Other values (464) 26890
62.4%
Uppercase Letter
ValueCountFrequency (%)
S 13
15.9%
B 9
11.0%
C 9
11.0%
A 8
9.8%
T 7
8.5%
E 5
 
6.1%
I 5
 
6.1%
P 5
 
6.1%
M 4
 
4.9%
L 3
 
3.7%
Other values (7) 14
17.1%
Decimal Number
ValueCountFrequency (%)
1 2068
20.3%
2 1443
14.2%
3 1106
10.9%
5 1004
9.9%
4 960
9.4%
0 805
 
7.9%
6 788
 
7.7%
7 752
 
7.4%
9 628
 
6.2%
8 627
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 169
96.0%
· 4
 
2.3%
. 2
 
1.1%
& 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
k 3
50.0%
s 2
33.3%
e 1
 
16.7%
Space Separator
ValueCountFrequency (%)
11686
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 468
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43107
62.9%
Common 25290
36.9%
Latin 88
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2784
 
6.5%
로 2452
 
5.7%
도 1987
 
4.6%
동 1794
 
4.2%
구 1602
 
3.7%
산 1298
 
3.0%
경 1264
 
2.9%
길 1051
 
2.4%
원 1017
 
2.4%
광 963
 
2.2%
Other values (465) 26895
62.4%
Latin
ValueCountFrequency (%)
S 13
14.8%
B 9
10.2%
C 9
10.2%
A 8
 
9.1%
T 7
 
8.0%
E 5
 
5.7%
I 5
 
5.7%
P 5
 
5.7%
M 4
 
4.5%
L 3
 
3.4%
Other values (10) 20
22.7%
Common
ValueCountFrequency (%)
11686
46.2%
1 2068
 
8.2%
2 1443
 
5.7%
) 1389
 
5.5%
( 1389
 
5.5%
3 1106
 
4.4%
5 1004
 
4.0%
4 960
 
3.8%
0 805
 
3.2%
6 788
 
3.1%
Other values (9) 2652
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43102
62.9%
ASCII 25374
37.1%
None 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11686
46.1%
1 2068
 
8.2%
2 1443
 
5.7%
) 1389
 
5.5%
( 1389
 
5.5%
3 1106
 
4.4%
5 1004
 
4.0%
4 960
 
3.8%
0 805
 
3.2%
6 788
 
3.1%
Other values (28) 2736
 
10.8%
Hangul
ValueCountFrequency (%)
시 2784
 
6.5%
로 2452
 
5.7%
도 1987
 
4.6%
동 1794
 
4.2%
구 1602
 
3.7%
산 1298
 
3.0%
경 1264
 
2.9%
길 1051
 
2.4%
원 1017
 
2.4%
광 963
 
2.2%
Other values (464) 26890
62.4%
None
ValueCountFrequency (%)
㈜ 5
55.6%
· 4
44.4%

소재지지번주소
Text

MISSING 

Distinct1059
Distinct (%)86.2%
Missing1690
Missing (%)57.9%
Memory size22.9 KiB
2024-05-11T10:34:39.329627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length19.721725
Min length13

Characters and Unicode

Total characters24238
Distinct characters268
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique945 ?
Unique (%)76.9%

Sample

1st row강원도 원주시 관설동 1774-3
2nd row강원도 원주시 명륜동 671
3rd row강원도 원주시 관설동 1457-3
4th row강원도 원주시 흥업면 사제리 산 189
5th row강원도 원주시 단계동 149-14
ValueCountFrequency (%)
경기도 245
 
4.5%
서울특별시 167
 
3.0%
인천광역시 128
 
2.3%
강원도 118
 
2.2%
강원특별자치도 116
 
2.1%
원주시 109
 
2.0%
안산시 101
 
1.8%
단원구 89
 
1.6%
강남구 84
 
1.5%
부산광역시 83
 
1.5%
Other values (1592) 4245
77.4%
2024-05-11T10:34:40.947844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4256
 
17.6%
시 1121
 
4.6%
동 1007
 
4.2%
1 901
 
3.7%
- 803
 
3.3%
도 759
 
3.1%
구 696
 
2.9%
2 600
 
2.5%
산 496
 
2.0%
3 495
 
2.0%
Other values (258) 13104
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14432
59.5%
Decimal Number 4732
 
19.5%
Space Separator 4256
 
17.6%
Dash Punctuation 803
 
3.3%
Other Punctuation 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1121
 
7.8%
동 1007
 
7.0%
도 759
 
5.3%
구 696
 
4.8%
산 496
 
3.4%
원 471
 
3.3%
광 457
 
3.2%
경 446
 
3.1%
강 377
 
2.6%
리 368
 
2.5%
Other values (245) 8234
57.1%
Decimal Number
ValueCountFrequency (%)
1 901
19.0%
2 600
12.7%
3 495
10.5%
5 448
9.5%
7 419
8.9%
4 416
8.8%
6 393
8.3%
8 375
7.9%
0 367
7.8%
9 318
 
6.7%
Space Separator
ValueCountFrequency (%)
4256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 803
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14432
59.5%
Common 9806
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1121
 
7.8%
동 1007
 
7.0%
도 759
 
5.3%
구 696
 
4.8%
산 496
 
3.4%
원 471
 
3.3%
광 457
 
3.2%
경 446
 
3.1%
강 377
 
2.6%
리 368
 
2.5%
Other values (245) 8234
57.1%
Common
ValueCountFrequency (%)
4256
43.4%
1 901
 
9.2%
- 803
 
8.2%
2 600
 
6.1%
3 495
 
5.0%
5 448
 
4.6%
7 419
 
4.3%
4 416
 
4.2%
6 393
 
4.0%
8 375
 
3.8%
Other values (3) 700
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14432
59.5%
ASCII 9806
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4256
43.4%
1 901
 
9.2%
- 803
 
8.2%
2 600
 
6.1%
3 495
 
5.0%
5 448
 
4.6%
7 419
 
4.3%
4 416
 
4.2%
6 393
 
4.0%
8 375
 
3.8%
Other values (3) 700
 
7.1%
Hangul
ValueCountFrequency (%)
시 1121
 
7.8%
동 1007
 
7.0%
도 759
 
5.3%
구 696
 
4.8%
산 496
 
3.4%
원 471
 
3.3%
광 457
 
3.2%
경 446
 
3.1%
강 377
 
2.6%
리 368
 
2.5%
Other values (245) 8234
57.1%

소재지전화번호
Text

MISSING 

Distinct316
Distinct (%)86.1%
Missing2552
Missing (%)87.4%
Memory size22.9 KiB
2024-05-11T10:34:42.057747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.950954
Min length9

Characters and Unicode

Total characters4386
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

Unique267 ?
Unique (%)72.8%

Sample

1st row033-738-7533
2nd row02-840-5880
3rd row033-742-9328
4th row033-440-2245
5th row051-852-7321
ValueCountFrequency (%)
033-742-9328 4
 
1.1%
033-576-0036 2
 
0.5%
063-560-8967 2
 
0.5%
033-435-7667 2
 
0.5%
033-541-3416 2
 
0.5%
033-571-1232 2
 
0.5%
033-540-1114 2
 
0.5%
033-572-9455 2
 
0.5%
033-540-5300 2
 
0.5%
033-541-3723 2
 
0.5%
Other values (306) 345
94.0%
2024-05-11T10:34:43.544337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 733
16.7%
0 707
16.1%
3 525
12.0%
1 461
10.5%
5 364
8.3%
4 356
8.1%
6 297
6.8%
2 291
 
6.6%
9 238
 
5.4%
7 231
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3653
83.3%
Dash Punctuation 733
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 707
19.4%
3 525
14.4%
1 461
12.6%
5 364
10.0%
4 356
9.7%
6 297
8.1%
2 291
8.0%
9 238
 
6.5%
7 231
 
6.3%
8 183
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 733
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 733
16.7%
0 707
16.1%
3 525
12.0%
1 461
10.5%
5 364
8.3%
4 356
8.1%
6 297
6.8%
2 291
 
6.6%
9 238
 
5.4%
7 231
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 733
16.7%
0 707
16.1%
3 525
12.0%
1 461
10.5%
5 364
8.3%
4 356
8.1%
6 297
6.8%
2 291
 
6.6%
9 238
 
5.4%
7 231
 
5.3%

위도
Real number (ℝ)

Distinct2441
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.573277
Minimum33.254449
Maximum38.213235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.8 KiB
2024-05-11T10:34:44.247155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.254449
5-th percentile35.096359
Q135.463997
median37.076115
Q337.463229
95-th percentile37.754255
Maximum38.213235
Range4.958786
Interquartile range (IQR)1.9992318

Descriptive statistics

Standard deviation1.0455862
Coefficient of variation (CV)0.028588803
Kurtosis-0.77318631
Mean36.573277
Median Absolute Deviation (MAD)0.54288457
Skewness-0.61711391
Sum106757.39
Variance1.0932505
MonotonicityNot monotonic
2024-05-11T10:34:44.672076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.9746652 10
 
0.3%
34.84862192 7
 
0.2%
35.7912555 6
 
0.2%
37.5482129 6
 
0.2%
37.458351 6
 
0.2%
37.6159287 6
 
0.2%
37.48024 5
 
0.2%
37.2748331 5
 
0.2%
37.5489051295 5
 
0.2%
37.2748330981 5
 
0.2%
Other values (2431) 2858
97.9%
ValueCountFrequency (%)
33.25444885 1
< 0.1%
33.25472938 1
< 0.1%
33.25558176 1
< 0.1%
33.27008947 2
0.1%
33.28997031 1
< 0.1%
33.29142812 1
< 0.1%
33.29885315 1
< 0.1%
33.3091756 1
< 0.1%
33.40777867 1
< 0.1%
33.4098413 2
0.1%
ValueCountFrequency (%)
38.21323484 1
< 0.1%
38.1056248184 1
< 0.1%
38.098597907 1
< 0.1%
38.09772086 1
< 0.1%
38.09651322 1
< 0.1%
38.069789 2
0.1%
38.063973 2
0.1%
38.05747312 1
< 0.1%
38.03314343 1
< 0.1%
37.99870361 1
< 0.1%

경도
Real number (ℝ)

Distinct2440
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.57619
Minimum126.25614
Maximum129.50365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.8 KiB
2024-05-11T10:34:45.116929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25614
5-th percentile126.60352
Q1126.8584
median127.1481
Q3128.46212
95-th percentile129.16044
Maximum129.50365
Range3.2475114
Interquartile range (IQR)1.6037245

Descriptive statistics

Standard deviation0.89478342
Coefficient of variation (CV)0.007013718
Kurtosis-1.0234439
Mean127.57619
Median Absolute Deviation (MAD)0.44547303
Skewness0.68160133
Sum372394.9
Variance0.80063736
MonotonicityNot monotonic
2024-05-11T10:34:45.700808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6077527 10
 
0.3%
127.748262 7
 
0.2%
126.427699 7
 
0.2%
127.424667 6
 
0.2%
128.9676565 6
 
0.2%
127.144483 6
 
0.2%
127.9043276566 5
 
0.2%
127.014215 5
 
0.2%
129.115513 5
 
0.2%
127.90432766 5
 
0.2%
Other values (2430) 2857
97.9%
ValueCountFrequency (%)
126.2561401 1
< 0.1%
126.2872602 1
< 0.1%
126.2900606 1
< 0.1%
126.3514252878 2
0.1%
126.3533106281 1
< 0.1%
126.3623631041 2
0.1%
126.3807877578 2
0.1%
126.3832686 1
< 0.1%
126.3931243 2
0.1%
126.4025189 1
< 0.1%
ValueCountFrequency (%)
129.5036515 1
< 0.1%
129.5029072863 1
< 0.1%
129.4732554 1
< 0.1%
129.4589012287 1
< 0.1%
129.458512 1
< 0.1%
129.4256480304 1
< 0.1%
129.4099014 1
< 0.1%
129.4065862 1
< 0.1%
129.4010878 2
0.1%
129.3953592367 2
0.1%

설립일자
Date

Distinct2199
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
Minimum1900-07-21 00:00:00
Maximum2024-01-26 00:00:00
2024-05-11T10:34:46.135538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:46.718797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소속연합단체명
Text

MISSING 

Distinct237
Distinct (%)21.1%
Missing1794
Missing (%)61.5%
Memory size22.9 KiB
2024-05-11T10:34:47.406570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.7857778
Min length1

Characters and Unicode

Total characters8759
Distinct characters134
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)11.0%

Sample

1st row한국노총
2nd row한국노총 전국식품산
3rd row해당
4th row전국사립대학교노동조
5th row미가입
ValueCountFrequency (%)
한국노총 185
 
13.8%
미가입 100
 
7.5%
상급단체미가입 64
 
4.8%
금속노련 60
 
4.5%
한국노동조합총연맹 57
 
4.3%
상급단체 47
 
3.5%
전국택시노동조합연맹 41
 
3.1%
미가맹 38
 
2.8%
전국화학노동조합연맹 35
 
2.6%
화학노련 34
 
2.5%
Other values (225) 680
50.7%
2024-05-11T10:34:48.726305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 971
 
11.1%
국 612
 
7.0%
한 478
 
5.5%
동 379
 
4.3%
합 374
 
4.3%
연 355
 
4.1%
전 352
 
4.0%
조 334
 
3.8%
총 330
 
3.8%
) 309
 
3.5%
Other values (124) 4265
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7815
89.2%
Close Punctuation 309
 
3.5%
Decimal Number 273
 
3.1%
Space Separator 220
 
2.5%
Open Punctuation 114
 
1.3%
Math Symbol 13
 
0.1%
Other Punctuation 8
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 971
 
12.4%
국 612
 
7.8%
한 478
 
6.1%
동 379
 
4.8%
합 374
 
4.8%
연 355
 
4.5%
전 352
 
4.5%
조 334
 
4.3%
총 330
 
4.2%
맹 287
 
3.7%
Other values (108) 3343
42.8%
Decimal Number
ValueCountFrequency (%)
1 120
44.0%
0 70
25.6%
4 42
 
15.4%
2 12
 
4.4%
8 10
 
3.7%
9 7
 
2.6%
6 5
 
1.8%
3 5
 
1.8%
5 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
· 5
62.5%
. 3
37.5%
Close Punctuation
ValueCountFrequency (%)
) 309
100.0%
Space Separator
ValueCountFrequency (%)
220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7815
89.2%
Common 944
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 971
 
12.4%
국 612
 
7.8%
한 478
 
6.1%
동 379
 
4.8%
합 374
 
4.8%
연 355
 
4.5%
전 352
 
4.5%
조 334
 
4.3%
총 330
 
4.2%
맹 287
 
3.7%
Other values (108) 3343
42.8%
Common
ValueCountFrequency (%)
) 309
32.7%
220
23.3%
1 120
 
12.7%
( 114
 
12.1%
0 70
 
7.4%
4 42
 
4.4%
+ 13
 
1.4%
2 12
 
1.3%
8 10
 
1.1%
- 7
 
0.7%
Other values (6) 27
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7815
89.2%
ASCII 939
 
10.7%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 971
 
12.4%
국 612
 
7.8%
한 478
 
6.1%
동 379
 
4.8%
합 374
 
4.8%
연 355
 
4.5%
전 352
 
4.5%
조 334
 
4.3%
총 330
 
4.2%
맹 287
 
3.7%
Other values (108) 3343
42.8%
ASCII
ValueCountFrequency (%)
) 309
32.9%
220
23.4%
1 120
 
12.8%
( 114
 
12.1%
0 70
 
7.5%
4 42
 
4.5%
+ 13
 
1.4%
2 12
 
1.3%
8 10
 
1.1%
- 7
 
0.7%
Other values (5) 22
 
2.3%
None
ValueCountFrequency (%)
· 5
100.0%

대표자명
Text

MISSING 

Distinct1457
Distinct (%)89.3%
Missing1288
Missing (%)44.1%
Memory size22.9 KiB
2024-05-11T10:34:49.643886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.0018394
Min length2

Characters and Unicode

Total characters4896
Distinct characters214
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1307 ?
Unique (%)80.1%

Sample

1st row김용겸
2nd row정장수
3rd row황호석
4th row한영복
5th row이상수
ValueCountFrequency (%)
황호석 4
 
0.2%
남홍희 4
 
0.2%
박수영 4
 
0.2%
김영일 4
 
0.2%
김태수 4
 
0.2%
한영복 4
 
0.2%
우순준 3
 
0.2%
이영배 3
 
0.2%
이영우 3
 
0.2%
김기원 3
 
0.2%
Other values (1448) 1596
97.8%
2024-05-11T10:34:51.026787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 325
 
6.6%
이 256
 
5.2%
영 159
 
3.2%
정 153
 
3.1%
박 138
 
2.8%
성 113
 
2.3%
수 93
 
1.9%
호 91
 
1.9%
진 90
 
1.8%
용 87
 
1.8%
Other values (204) 3391
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4891
99.9%
Space Separator 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 325
 
6.6%
이 256
 
5.2%
영 159
 
3.3%
정 153
 
3.1%
박 138
 
2.8%
성 113
 
2.3%
수 93
 
1.9%
호 91
 
1.9%
진 90
 
1.8%
용 87
 
1.8%
Other values (200) 3386
69.2%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4891
99.9%
Common 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 325
 
6.6%
이 256
 
5.2%
영 159
 
3.3%
정 153
 
3.1%
박 138
 
2.8%
성 113
 
2.3%
수 93
 
1.9%
호 91
 
1.9%
진 90
 
1.8%
용 87
 
1.8%
Other values (200) 3386
69.2%
Common
ValueCountFrequency (%)
2
40.0%
) 1
20.0%
( 1
20.0%
+ 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4891
99.9%
ASCII 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 325
 
6.6%
이 256
 
5.2%
영 159
 
3.3%
정 153
 
3.1%
박 138
 
2.8%
성 113
 
2.3%
수 93
 
1.9%
호 91
 
1.9%
진 90
 
1.8%
용 87
 
1.8%
Other values (200) 3386
69.2%
ASCII
ValueCountFrequency (%)
2
40.0%
) 1
20.0%
( 1
20.0%
+ 1
20.0%

조합원수
Real number (ℝ)

MISSING 

Distinct312
Distinct (%)18.8%
Missing1263
Missing (%)43.3%
Infinite0
Infinite (%)0.0%
Mean96.091184
Minimum0
Maximum9118
Zeros25
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size25.8 KiB
2024-05-11T10:34:51.637765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median34
Q381
95-th percentile333.5
Maximum9118
Range9118
Interquartile range (IQR)70

Descriptive statistics

Standard deviation317.48147
Coefficient of variation (CV)3.3039605
Kurtosis444.44064
Mean96.091184
Median Absolute Deviation (MAD)27
Skewness17.930225
Sum159127
Variance100794.49
MonotonicityNot monotonic
2024-05-11T10:34:52.255981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 63
 
2.2%
4 45
 
1.5%
5 44
 
1.5%
12 37
 
1.3%
2 36
 
1.2%
10 35
 
1.2%
8 35
 
1.2%
6 34
 
1.2%
7 34
 
1.2%
11 34
 
1.2%
Other values (302) 1259
43.1%
(Missing) 1263
43.3%
ValueCountFrequency (%)
0 25
 
0.9%
1 10
 
0.3%
2 36
1.2%
3 63
2.2%
4 45
1.5%
5 44
1.5%
6 34
1.2%
7 34
1.2%
8 35
1.2%
9 31
1.1%
ValueCountFrequency (%)
9118 1
< 0.1%
5250 1
< 0.1%
3233 1
< 0.1%
2352 1
< 0.1%
1920 1
< 0.1%
1659 1
< 0.1%
1527 1
< 0.1%
1482 1
< 0.1%
1439 1
< 0.1%
1368 1
< 0.1%

소속사업장명
Text

MISSING 

Distinct1257
Distinct (%)87.2%
Missing1477
Missing (%)50.6%
Memory size22.9 KiB
2024-05-11T10:34:52.980369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.8869626
Min length1

Characters and Unicode

Total characters9931
Distinct characters489
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

Unique1110 ?
Unique (%)77.0%

Sample

1st row원주시 시설 관리공단
2nd row원주시시설관리공단
3rd row원흥산업노동조합
4th row(주)이지테크
5th row원주시 시설관리공단
ValueCountFrequency (%)
주식회사 20
 
1.3%
0 18
 
1.1%
9
 
0.6%
노동조합 6
 
0.4%
전남권 5
 
0.3%
원주시시설관리공단 4
 
0.3%
태창운수(주 4
 
0.3%
주)이지테크 4
 
0.3%
무주군청 4
 
0.3%
쌍용양회 4
 
0.3%
Other values (1320) 1505
95.1%
2024-05-11T10:34:54.191849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 523
 
5.3%
) 469
 
4.7%
( 468
 
4.7%
시 228
 
2.3%
원 207
 
2.1%
동 182
 
1.8%
산 163
 
1.6%
대 159
 
1.6%
업 150
 
1.5%
141
 
1.4%
Other values (479) 7241
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8467
85.3%
Close Punctuation 469
 
4.7%
Open Punctuation 468
 
4.7%
Uppercase Letter 176
 
1.8%
Space Separator 141
 
1.4%
Other Symbol 129
 
1.3%
Decimal Number 33
 
0.3%
Lowercase Letter 29
 
0.3%
Dash Punctuation 12
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 523
 
6.2%
시 228
 
2.7%
원 207
 
2.4%
동 182
 
2.1%
산 163
 
1.9%
대 159
 
1.9%
업 150
 
1.8%
공 133
 
1.6%
수 127
 
1.5%
사 127
 
1.5%
Other values (428) 6468
76.4%
Uppercase Letter
ValueCountFrequency (%)
S 27
15.3%
K 18
 
10.2%
T 15
 
8.5%
C 15
 
8.5%
A 13
 
7.4%
M 10
 
5.7%
P 9
 
5.1%
G 7
 
4.0%
E 7
 
4.0%
D 7
 
4.0%
Other values (12) 48
27.3%
Lowercase Letter
ValueCountFrequency (%)
s 5
17.2%
k 5
17.2%
t 4
13.8%
o 3
10.3%
j 3
10.3%
w 2
 
6.9%
n 2
 
6.9%
y 1
 
3.4%
r 1
 
3.4%
x 1
 
3.4%
Other values (2) 2
 
6.9%
Decimal Number
ValueCountFrequency (%)
0 20
60.6%
5 3
 
9.1%
4 3
 
9.1%
2 3
 
9.1%
3 1
 
3.0%
6 1
 
3.0%
1 1
 
3.0%
8 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 4
57.1%
, 1
 
14.3%
· 1
 
14.3%
/ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 469
100.0%
Open Punctuation
ValueCountFrequency (%)
( 468
100.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8596
86.6%
Common 1130
 
11.4%
Latin 205
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 523
 
6.1%
시 228
 
2.7%
원 207
 
2.4%
동 182
 
2.1%
산 163
 
1.9%
대 159
 
1.8%
업 150
 
1.7%
공 133
 
1.5%
㈜ 129
 
1.5%
수 127
 
1.5%
Other values (429) 6595
76.7%
Latin
ValueCountFrequency (%)
S 27
 
13.2%
K 18
 
8.8%
T 15
 
7.3%
C 15
 
7.3%
A 13
 
6.3%
M 10
 
4.9%
P 9
 
4.4%
G 7
 
3.4%
E 7
 
3.4%
D 7
 
3.4%
Other values (24) 77
37.6%
Common
ValueCountFrequency (%)
) 469
41.5%
( 468
41.4%
141
 
12.5%
0 20
 
1.8%
- 12
 
1.1%
& 4
 
0.4%
5 3
 
0.3%
4 3
 
0.3%
2 3
 
0.3%
3 1
 
0.1%
Other values (6) 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8467
85.3%
ASCII 1334
 
13.4%
None 130
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 523
 
6.2%
시 228
 
2.7%
원 207
 
2.4%
동 182
 
2.1%
산 163
 
1.9%
대 159
 
1.9%
업 150
 
1.8%
공 133
 
1.6%
수 127
 
1.5%
사 127
 
1.5%
Other values (428) 6468
76.4%
ASCII
ValueCountFrequency (%)
) 469
35.2%
( 468
35.1%
141
 
10.6%
S 27
 
2.0%
0 20
 
1.5%
K 18
 
1.3%
T 15
 
1.1%
C 15
 
1.1%
A 13
 
1.0%
- 12
 
0.9%
Other values (39) 136
 
10.2%
None
ValueCountFrequency (%)
㈜ 129
99.2%
· 1
 
0.8%

데이터기준일자
Date

Distinct73
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
Minimum2022-11-16 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T10:34:54.664048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:55.175050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct139
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4218902
Minimum3020000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.8 KiB
2024-05-11T10:34:55.649524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3020000
5-th percentile3140000
Q13530000
median4050000
Q34721000
95-th percentile5670000
Maximum6520000
Range3500000
Interquartile range (IQR)1191000

Descriptive statistics

Standard deviation849225.48
Coefficient of variation (CV)0.20129064
Kurtosis-0.41734518
Mean4218902
Median Absolute Deviation (MAD)580000
Skewness0.66889304
Sum1.2314975 × 1010
Variance7.2118392 × 1011
MonotonicityNot monotonic
2024-05-11T10:34:56.181535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5670000 124
 
4.2%
3930000 102
 
3.5%
3220000 84
 
2.9%
5530000 77
 
2.6%
3490000 73
 
2.5%
3780000 72
 
2.5%
4670000 69
 
2.4%
3740000 69
 
2.4%
4671000 69
 
2.4%
3630000 65
 
2.2%
Other values (129) 2115
72.5%
ValueCountFrequency (%)
3020000 16
 
0.5%
3060000 14
 
0.5%
3100000 24
 
0.8%
3110000 23
 
0.8%
3130000 60
2.1%
3140000 26
 
0.9%
3150000 52
1.8%
3200000 18
 
0.6%
3210000 56
1.9%
3220000 84
2.9%
ValueCountFrequency (%)
6520000 9
 
0.3%
6510000 27
 
0.9%
6460000 13
 
0.4%
6260000 26
 
0.9%
5700000 12
 
0.4%
5680000 35
 
1.2%
5670000 124
4.2%
5600000 19
 
0.7%
5540000 15
 
0.5%
5530000 77
2.6%

제공기관명
Text

Distinct139
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size22.9 KiB
2024-05-11T10:34:57.004656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.2682425
Min length4

Characters and Unicode

Total characters24135
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.3%

Sample

1st row강원도 원주시
2nd row강원도 원주시
3rd row강원도 원주시
4th row강원도 원주시
5th row강원도 원주시
ValueCountFrequency (%)
경기도 658
 
11.3%
서울특별시 373
 
6.4%
경상남도 243
 
4.2%
부산광역시 218
 
3.8%
경상북도 171
 
2.9%
인천광역시 170
 
2.9%
충청남도 145
 
2.5%
강원특별자치도 138
 
2.4%
군산시 138
 
2.4%
강원도 136
 
2.3%
Other values (121) 3409
58.8%
2024-05-11T10:34:58.363255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2880
 
11.9%
시 2693
 
11.2%
도 1883
 
7.8%
경 1178
 
4.9%
구 1011
 
4.2%
광 893
 
3.7%
산 710
 
2.9%
남 695
 
2.9%
역 681
 
2.8%
기 675
 
2.8%
Other values (89) 10836
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21255
88.1%
Space Separator 2880
 
11.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2693
 
12.7%
도 1883
 
8.9%
경 1178
 
5.5%
구 1011
 
4.8%
광 893
 
4.2%
산 710
 
3.3%
남 695
 
3.3%
역 681
 
3.2%
기 675
 
3.2%
특 633
 
3.0%
Other values (88) 10203
48.0%
Space Separator
ValueCountFrequency (%)
2880
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21255
88.1%
Common 2880
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2693
 
12.7%
도 1883
 
8.9%
경 1178
 
5.5%
구 1011
 
4.8%
광 893
 
4.2%
산 710
 
3.3%
남 695
 
3.3%
역 681
 
3.2%
기 675
 
3.2%
특 633
 
3.0%
Other values (88) 10203
48.0%
Common
ValueCountFrequency (%)
2880
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21255
88.1%
ASCII 2880
 
11.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2880
100.0%
Hangul
ValueCountFrequency (%)
시 2693
 
12.7%
도 1883
 
8.9%
경 1178
 
5.5%
구 1011
 
4.8%
광 893
 
4.2%
산 710
 
3.3%
남 695
 
3.3%
역 681
 
3.2%
기 675
 
3.2%
특 633
 
3.0%
Other values (88) 10203
48.0%

Interactions

2024-05-11T10:34:30.031073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:26.606726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:27.757066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:28.865470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:30.296408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:26.860143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:28.021647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:29.112541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:30.636981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:27.129737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:28.300610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:29.376496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:30.970795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:27.378731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:28.554644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:34:29.625999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T10:34:58.728149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노동조합형태위도경도조합원수데이터기준일자제공기관코드
노동조합형태1.0000.1900.3610.0000.7110.239
위도0.1901.0000.6780.0000.9310.866
경도0.3610.6781.0000.0980.9460.728
조합원수0.0000.0000.0981.0000.2670.138
데이터기준일자0.7110.9310.9460.2671.0000.967
제공기관코드0.2390.8660.7280.1380.9671.000
2024-05-11T10:34:59.350131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도조합원수제공기관코드노동조합형태
위도1.000-0.303-0.032-0.3810.111
경도-0.3031.0000.0050.1860.158
조합원수-0.0320.0051.0000.0630.000
제공기관코드-0.3810.1860.0631.0000.138
노동조합형태0.1110.1580.0000.1381.000

Missing values

2024-05-11T10:34:31.458677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T10:34:32.409507image/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.
2024-05-11T10:34:32.908341image/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

노동조합명노동조합형태소재지도로명주소소재지지번주소소재지전화번호위도경도설립일자소속연합단체명대표자명조합원수소속사업장명데이터기준일자제공기관코드제공기관명
0원주지역 노동조합기업단위노조강원도 원주시 시청로 524강원도 원주시 관설동 1774-3<NA>37.315118127.963872021-03-09<NA>김용겸4원주시 시설 관리공단2022-11-254190000강원도 원주시
1원주시시설관리공단 일반직 노동조합기업단위노조강원도 원주시 남원로 487강원도 원주시 명륜동 671<NA>37.328229127.9440762021-03-09<NA><NA>113원주시시설관리공단2022-11-254190000강원도 원주시
2원흥산업노동조합기업단위노조강원도 원주시 치악로 1517강원도 원주시 관설동 1457-3<NA>37.319745127.9656641980-09-30한국노총정장수14원흥산업노동조합2022-11-254190000강원도 원주시
3자원재생노동조합기업단위노조강원도 원주시 흥업면 수루니길 116강원도 원주시 흥업면 사제리 산 189<NA>37.329354127.8692452020-07-03<NA>황호석10(주)이지테크2022-11-254190000강원도 원주시
4원주시 시설관리공단 노동조합기업단위노조강원도 원주시 원문로118번길 7-2강원도 원주시 단계동 149-14<NA>37.357154127.9341972020-07-01<NA>한영복9원주시 시설관리공단2022-11-254190000강원도 원주시
5원주시설환경노동조합지역단위노조강원도 원주시 흥업면 연세대길 1강원도 원주시 흥업면 매지리 산 276<NA>37.274833127.9043282019-12-16<NA>이상수40kt텔레캅 두원시스템2022-11-254190000강원도 원주시
6안전운수(합)노동조합기업단위노조강원도 원주시 치악로 1589강원도 원주시 단구동 143-76<NA>37.324804127.9606932019-09-26<NA>박태향20안전운수2022-11-254190000강원도 원주시
7테라윈프린팅노동조합기업단위노조강원도 원주시 문막읍 왕건로 49강원도 원주시 문막읍 건등리 383-5<NA>37.324628127.8284332019-01-29한국노총 전국식품산전영노31<NA>2022-11-254190000강원도 원주시
8[영업] 원주원예하나로노동조합기업단위노조강원도 원주시 무실로 182강원도 원주시 단계동 803-2<NA>37.341443127.9392852017-03-30<NA>강민식85원주원예농협하나로클럽2022-11-254190000강원도 원주시
9사회보험네트워크노동조합기업단위노조강원도 원주시 건강로 32강원도 원주시 반곡동 1894-6<NA>37.32466127.986332015-10-20해당안동근2국민건강보험공단2022-11-254190000강원도 원주시
노동조합명노동조합형태소재지도로명주소소재지지번주소소재지전화번호위도경도설립일자소속연합단체명대표자명조합원수소속사업장명데이터기준일자제공기관코드제공기관명
2909대길산업 주식회사 노동조합기업단위노조강원특별자치도 삼척시 도계읍 산기길 278<NA>033-541-372337.274719129.0872422019-04-01미가입이종호17대길산업 주식회사2023-11-064241000강원특별자치도 삼척시
2910블랙밸리컨트리클럽(주) 노동조합기업단위노조강원특별자치도 삼척시 도계읍 도상로 307-84<NA>033-540-530037.218183129.0734332014-06-19미가입최용희24블랙밸리컨트리클럽(주)2023-11-064241000강원특별자치도 삼척시
2911삼척택시노동조합기업단위노조강원특별자치도 삼척시 동해대로 4174-7<NA>033-576-003637.453623129.1774042011-07-06한)전택노련이성수12삼척택시2023-11-064241000강원특별자치도 삼척시
2912경동운수노동조합기업단위노조강원특별자치도 삼척시 동해대로 4174-7<NA>033-572-945537.453623129.1774041999-07-27한)전택노련엄세태14경동운수(합)2023-11-064241000강원특별자치도 삼척시
2913쌍용C&E 광산 노동조합 신기지부기업단위노조강원특별자치도 삼척시 신기면 환선로 112-12<NA>033-540-111437.360329129.072791986-03-29한)화학노련방우범58쌍용양회 동해공장 신기광산팀2023-11-064241000강원특별자치도 삼척시
2914쌍용C&E 광산 노동조합 삼척지부기업단위노조강원특별자치도 삼척시 박걸남로 775<NA>033-571-123237.404644129.160491994-12-01한)화학노련김화영45쌍용양회 삼척광산팀2023-11-064241000강원특별자치도 삼척시
2915(주)경동 노동조합기업단위노조강원특별자치도 삼척시 도계읍 도상로 262-24<NA>033-541-341637.216309129.0654521963-04-17한)광산노련김용대531(주)경동 상덕광업소2023-11-064241000강원특별자치도 삼척시
2916삼표에스앤씨노동조합기업단위노조강원특별자치도 삼척시 삼척항길 152<NA><NA>37.434354129.1883752020-12-21한)화학노련안국진27삼표에스앤씨2023-11-064241000강원특별자치도 삼척시
2917삼표노동조합기업단위노조강원특별자치도 삼척시 동양길 20<NA><NA>37.428765129.1808092023-07-17미가입김경래18삼표시멘트2023-11-064241000강원특별자치도 삼척시
2918삼표자원개발노동조합기업단위노조강원특별자치도 삼척시 근덕면 시목길 225<NA><NA>37.371009129.1821012023-09-19미가입조창묵5삼표자원개발2023-11-064241000강원특별자치도 삼척시