Overview

Dataset statistics

Number of variables7
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory60.2 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description한국산업안전보건공단에서 제공하는 국외 안전보건 유관기관 회원가입 현황 및 활용 안내 데이터로 주관부서, 국가, 지역, 기관명, 협약 내용 등이 포함되어있습니다.
URLhttps://www.data.go.kr/data/3038245/fileData.do

Alerts

번호 is highly overall correlated with 협력분야 and 1 other fieldsHigh correlation
협력분야 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
주관부서 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:28:12.473141
Analysis finished2023-12-12 23:28:13.086558
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T08:28:13.160367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-13T08:28:13.322334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

협력분야
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
안전인증 및 공동규격 상호 인정
21 
기술지식정보교류
13 
개발도상국 안전보건협력
7 

Length

Max length18
Median length18
Mean length13.804878
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전인증 및 공동규격 상호 인정 21
51.2%
기술지식정보교류 13
31.7%
개발도상국 안전보건협력 7
 
17.1%

Length

2023-12-13T08:28:13.452544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:28:13.542873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전인증 21
15.9%
및 21
15.9%
공동규격 21
15.9%
상호 21
15.9%
인정 21
15.9%
기술지식정보교류 13
9.8%
개발도상국 7
 
5.3%
안전보건협력 7
 
5.3%

주관부서
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
인증원
21 
국제협력단
16 
연구원
4 

Length

Max length5
Median length3
Mean length3.7804878
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증원 21
51.2%
국제협력단 16
39.0%
연구원 4
 
9.8%

Length

2023-12-13T08:28:13.650321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:28:13.762480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증원 21
51.2%
국제협력단 16
39.0%
연구원 4
 
9.8%

국가
Text

Distinct23
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:28:13.915714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.6829268
Min length2

Characters and Unicode

Total characters110
Distinct characters47
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

Unique16 ?
Unique (%)39.0%

Sample

1st row독일
2nd row미국
3rd row스페인
4th row영국
5th row일본
ValueCountFrequency (%)
영국 6
14.6%
독일 5
 
12.2%
프랑스 4
 
9.8%
일본 3
 
7.3%
베트남 3
 
7.3%
미국 2
 
4.9%
네덜란드 2
 
4.9%
태국 1
 
2.4%
노르웨이 1
 
2.4%
캐나다 1
 
2.4%
Other values (13) 13
31.7%
2023-12-13T08:28:14.187687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 10
 
9.1%
스 9
 
8.2%
일 9
 
8.2%
영 6
 
5.5%
독 5
 
4.5%
트 4
 
3.6%
아 4
 
3.6%
랑 4
 
3.6%
프 4
 
3.6%
본 3
 
2.7%
Other values (37) 52
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 10
 
9.1%
스 9
 
8.2%
일 9
 
8.2%
영 6
 
5.5%
독 5
 
4.5%
트 4
 
3.6%
아 4
 
3.6%
랑 4
 
3.6%
프 4
 
3.6%
본 3
 
2.7%
Other values (37) 52
47.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 10
 
9.1%
스 9
 
8.2%
일 9
 
8.2%
영 6
 
5.5%
독 5
 
4.5%
트 4
 
3.6%
아 4
 
3.6%
랑 4
 
3.6%
프 4
 
3.6%
본 3
 
2.7%
Other values (37) 52
47.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 10
 
9.1%
스 9
 
8.2%
일 9
 
8.2%
영 6
 
5.5%
독 5
 
4.5%
트 4
 
3.6%
아 4
 
3.6%
랑 4
 
3.6%
프 4
 
3.6%
본 3
 
2.7%
Other values (37) 52
47.3%

지역
Categorical

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
유럽
25 
아시아
12 
미주
3 
오세아니아
 
1

Length

Max length5
Median length2
Mean length2.3658537
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row유럽
2nd row미주
3rd row유럽
4th row유럽
5th row아시아

Common Values

ValueCountFrequency (%)
유럽 25
61.0%
아시아 12
29.3%
미주 3
 
7.3%
오세아니아 1
 
2.4%

Length

2023-12-13T08:28:14.310217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:28:14.429701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유럽 25
61.0%
아시아 12
29.3%
미주 3
 
7.3%
오세아니아 1
 
2.4%

기관명
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:28:14.690420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length25
Mean length15.95122
Min length5

Characters and Unicode

Total characters654
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row재해보험조합(DGUV)
2nd row산업안전기술자협회(ASSP)
3rd row과학예방문화체험관(CPC)
4th row산업안전보건협회(IOSH)
5th row중앙노동재해방지협회(JISHA)
ValueCountFrequency (%)
tuv 3
 
4.6%
국립산업안전보건연구원(niosh 2
 
3.1%
limited 2
 
3.1%
압력용기및전기장치검사협회(apave 1
 
1.5%
국립산업환경평가연구원(ineris 1
 
1.5%
sud 1
 
1.5%
방폭인증기관(ccve 1
 
1.5%
전기전자제품 1
 
1.5%
안전기술시험소(testsafe 1
 
1.5%
시험인증기관(intertek 1
 
1.5%
Other values (51) 51
78.5%
2023-12-13T08:28:15.138216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 34
 
5.2%
( 34
 
5.2%
S 29
 
4.4%
27
 
4.1%
I 22
 
3.4%
전 19
 
2.9%
기 16
 
2.4%
A 14
 
2.1%
i 13
 
2.0%
e 13
 
2.0%
Other values (115) 433
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
42.8%
Uppercase Letter 173
26.5%
Lowercase Letter 105
 
16.1%
Close Punctuation 34
 
5.2%
Open Punctuation 34
 
5.2%
Space Separator 27
 
4.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 19
 
6.8%
기 16
 
5.7%
원 12
 
4.3%
보 12
 
4.3%
안 12
 
4.3%
산 11
 
3.9%
구 10
 
3.6%
연 10
 
3.6%
업 10
 
3.6%
험 9
 
3.2%
Other values (69) 159
56.8%
Uppercase Letter
ValueCountFrequency (%)
S 29
16.8%
I 22
12.7%
A 14
 
8.1%
N 10
 
5.8%
O 9
 
5.2%
H 9
 
5.2%
T 8
 
4.6%
P 8
 
4.6%
R 7
 
4.0%
E 7
 
4.0%
Other values (13) 50
28.9%
Lowercase Letter
ValueCountFrequency (%)
i 13
12.4%
e 13
12.4%
t 10
9.5%
a 9
8.6%
r 9
8.6%
u 8
7.6%
s 6
 
5.7%
o 6
 
5.7%
n 6
 
5.7%
d 6
 
5.7%
Other values (9) 19
18.1%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
42.8%
Latin 278
42.5%
Common 96
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 19
 
6.8%
기 16
 
5.7%
원 12
 
4.3%
보 12
 
4.3%
안 12
 
4.3%
산 11
 
3.9%
구 10
 
3.6%
연 10
 
3.6%
업 10
 
3.6%
험 9
 
3.2%
Other values (69) 159
56.8%
Latin
ValueCountFrequency (%)
S 29
 
10.4%
I 22
 
7.9%
A 14
 
5.0%
i 13
 
4.7%
e 13
 
4.7%
N 10
 
3.6%
t 10
 
3.6%
a 9
 
3.2%
r 9
 
3.2%
O 9
 
3.2%
Other values (32) 140
50.4%
Common
ValueCountFrequency (%)
) 34
35.4%
( 34
35.4%
27
28.1%
- 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
57.2%
Hangul 280
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 34
 
9.1%
( 34
 
9.1%
S 29
 
7.8%
27
 
7.2%
I 22
 
5.9%
A 14
 
3.7%
i 13
 
3.5%
e 13
 
3.5%
N 10
 
2.7%
t 10
 
2.7%
Other values (36) 168
44.9%
Hangul
ValueCountFrequency (%)
전 19
 
6.8%
기 16
 
5.7%
원 12
 
4.3%
보 12
 
4.3%
안 12
 
4.3%
산 11
 
3.9%
구 10
 
3.6%
연 10
 
3.6%
업 10
 
3.6%
험 9
 
3.2%
Other values (69) 159
56.8%

체결내용
Text

Distinct24
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T08:28:15.383575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length18.585366
Min length12

Characters and Unicode

Total characters762
Distinct characters90
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)48.8%

Sample

1st row산업안전보건분야 기술협력 협정
2nd row산업보건분야 기술협력 협정(MRA)
3rd row체험관 건립·운영에 관한 업무협력 협정
4th row산업안전보건분야 기술협력 협정
5th row산업안전교육분야 기술협력 협정
ValueCountFrequency (%)
협정 26
 
16.6%
기술협력 16
 
10.2%
산업안전보건분야 12
 
7.6%
상호인정 10
 
6.4%
및 7
 
4.5%
방폭분야 5
 
3.2%
s마크 4
 
2.5%
따른 4
 
2.5%
kcs 3
 
1.9%
s마크와 3
 
1.9%
Other values (49) 67
42.7%
2023-12-13T08:28:15.872711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
15.2%
협 60
 
7.9%
정 53
 
7.0%
력 29
 
3.8%
분 28
 
3.7%
야 28
 
3.7%
기 24
 
3.1%
호 22
 
2.9%
보 22
 
2.9%
업 22
 
2.9%
Other values (80) 358
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 589
77.3%
Space Separator 116
 
15.2%
Uppercase Letter 35
 
4.6%
Other Punctuation 8
 
1.0%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Lowercase Letter 3
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 60
 
10.2%
정 53
 
9.0%
력 29
 
4.9%
분 28
 
4.8%
야 28
 
4.8%
기 24
 
4.1%
호 22
 
3.7%
보 22
 
3.7%
업 22
 
3.7%
인 22
 
3.7%
Other values (65) 279
47.4%
Uppercase Letter
ValueCountFrequency (%)
S 9
25.7%
C 6
17.1%
M 4
11.4%
E 4
11.4%
I 3
 
8.6%
K 3
 
8.6%
A 3
 
8.6%
R 3
 
8.6%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
· 1
 
12.5%
Space Separator
ValueCountFrequency (%)
116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 3
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 589
77.3%
Common 135
 
17.7%
Latin 38
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
협 60
 
10.2%
정 53
 
9.0%
력 29
 
4.9%
분 28
 
4.8%
야 28
 
4.8%
기 24
 
4.1%
호 22
 
3.7%
보 22
 
3.7%
업 22
 
3.7%
인 22
 
3.7%
Other values (65) 279
47.4%
Latin
ValueCountFrequency (%)
S 9
23.7%
C 6
15.8%
M 4
10.5%
E 4
10.5%
I 3
 
7.9%
K 3
 
7.9%
s 3
 
7.9%
A 3
 
7.9%
R 3
 
7.9%
Common
ValueCountFrequency (%)
116
85.9%
, 7
 
5.2%
( 5
 
3.7%
) 5
 
3.7%
· 1
 
0.7%
6 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 589
77.3%
ASCII 172
 
22.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
67.4%
S 9
 
5.2%
, 7
 
4.1%
C 6
 
3.5%
( 5
 
2.9%
) 5
 
2.9%
M 4
 
2.3%
E 4
 
2.3%
I 3
 
1.7%
K 3
 
1.7%
Other values (4) 10
 
5.8%
Hangul
ValueCountFrequency (%)
협 60
 
10.2%
정 53
 
9.0%
력 29
 
4.9%
분 28
 
4.8%
야 28
 
4.8%
기 24
 
4.1%
호 22
 
3.7%
보 22
 
3.7%
업 22
 
3.7%
인 22
 
3.7%
Other values (65) 279
47.4%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-13T08:28:12.837228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:28:16.004411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호협력분야주관부서국가지역기관명체결내용
번호1.0000.9521.0000.8220.5800.9450.626
협력분야0.9521.0000.9550.8620.4810.0000.762
주관부서1.0000.9551.0000.6620.2830.0000.914
국가0.8220.8620.6621.0001.0000.9420.826
지역0.5800.4810.2831.0001.0000.0000.932
기관명0.9450.0000.0000.9420.0001.0000.993
체결내용0.6260.7620.9140.8260.9320.9931.000
2023-12-13T08:28:16.126803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주관부서지역협력분야
주관부서1.0000.2650.738
지역0.2651.0000.470
협력분야0.7380.4701.000
2023-12-13T08:28:16.218814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호협력분야주관부서지역
번호1.0000.8250.7580.352
협력분야0.8251.0000.7380.470
주관부서0.7580.7381.0000.265
지역0.3520.4700.2651.000

Missing values

2023-12-13T08:28:12.951370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:28:13.049817image/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

번호협력분야주관부서국가지역기관명체결내용
01기술지식정보교류국제협력단독일유럽재해보험조합(DGUV)산업안전보건분야 기술협력 협정
12기술지식정보교류국제협력단미국미주산업안전기술자협회(ASSP)산업보건분야 기술협력 협정(MRA)
23기술지식정보교류국제협력단스페인유럽과학예방문화체험관(CPC)체험관 건립·운영에 관한 업무협력 협정
34기술지식정보교류국제협력단영국유럽산업안전보건협회(IOSH)산업안전보건분야 기술협력 협정
45기술지식정보교류국제협력단일본아시아중앙노동재해방지협회(JISHA)산업안전교육분야 기술협력 협정
56기술지식정보교류국제협력단영국유럽국제 위험 및 안전관리협회(IIRSM)산업안전보건에 관한 협력협정
67기술지식정보교류국제협력단프랑스유럽산업안전보건연구원(INRS)산업안전보건분야 기술협력 협정
78기술지식정보교류국제협력단프랑스유럽산재보험기관(EUROGIP)산업안전보건분야 기술협력 협정
89기술지식정보교류국제협력단오스트리아유럽근로자보상위원회(AUVA)산업안전보건분야 기술협력 협정
910개발도상국 안전보건협력국제협력단말레이시아아시아국립산업안전보건연구원(NIOSH)산업안전보건분야 기술협력 협정
번호협력분야주관부서국가지역기관명체결내용
3132안전인증 및 공동규격 상호 인정인증원영국유럽SGS Baseefa사방폭분야 상호인정 협정
3233안전인증 및 공동규격 상호 인정인증원영국유럽(변경 전)Sira사(변경 후)CSA Group Testing UK Limited방폭분야 상호인정 협정
3334안전인증 및 공동규격 상호 인정인증원영국유럽LRQA Verification Limited압력용기분야 상호인정 협정
3435안전인증 및 공동규격 상호 인정인증원일본아시아산업안전기술협회(TIIS)방폭구조기기, 보호구 및 S마크인증협력협정
3536안전인증 및 공동규격 상호 인정인증원중국아시아상해자동화 계측기기 시험검사소(SITIIAS)방폭안전인증분야 협력 양해 각서
3637안전인증 및 공동규격 상호 인정인증원체코유럽공학시험연구원(SZU)S마크, 개인보호구(안전모)분야 상호인정 협정
3738안전인증 및 공동규격 상호 인정인증원프랑스유럽국립산업환경평가연구원(INERIS)IEC 한국 및 유럽규격에 따른 시험능력 인정
3839안전인증 및 공동규격 상호 인정인증원프랑스유럽압력용기및전기장치검사협회(APAVE)개인보호구(안전대, 호흡용보호구) 상호 인정협정
3940안전인증 및 공동규격 상호 인정인증원캐나다미주QPS 서비스방폭분야 상호인정 협정
4041안전인증 및 공동규격 상호 인정인증원호주오세아니아안전기술시험소(TestSafe Australia)IEC 한국 및 호주규격에 따른 시험능력 인정