Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory55.3 B

Variable types

Numeric1
Text4
Categorical1

Dataset

DescriptionAPEC 회원국가에 대한 데이터로 국가명, APEC 가입일, 담당기관, 기관 홈페이지 주소 등의 자료를 제공합니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15071284/fileData.do

Alerts

연번 is highly overall correlated with 가입일High correlation
가입일 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
국가명_국문_ has unique valuesUnique
국가명_영문_ has unique valuesUnique
담당기관 has unique valuesUnique
홈페이지주소_URL_ has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:05:09.917484
Analysis finished2023-12-12 21:05:10.547738
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-13T06:05:10.626027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-13T06:05:10.786942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

국가명_국문_
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:05:10.994936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.7619048
Min length2

Characters and Unicode

Total characters79
Distinct characters54
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

Unique21 ?
Unique (%)100.0%

Sample

1st row오스트레일리아
2nd row브루나이
3rd row캐나다
4th row인도네시아
5th row일본
ValueCountFrequency (%)
오스트레일리아 1
 
4.3%
중국 1
 
4.3%
러시아 1
 
4.3%
페루 1
 
4.3%
칠레 1
 
4.3%
파푸어뉴기니 1
 
4.3%
멕시코 1
 
4.3%
타이베이 1
 
4.3%
중화 1
 
4.3%
차이나 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T06:05:11.402046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
6.3%
아 4
 
5.1%
시 4
 
5.1%
국 4
 
5.1%
나 3
 
3.8%
레 3
 
3.8%
트 2
 
2.5%
중 2
 
2.5%
루 2
 
2.5%
리 2
 
2.5%
Other values (44) 48
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
97.5%
Space Separator 2
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
6.5%
아 4
 
5.2%
시 4
 
5.2%
국 4
 
5.2%
나 3
 
3.9%
레 3
 
3.9%
트 2
 
2.6%
중 2
 
2.6%
루 2
 
2.6%
리 2
 
2.6%
Other values (43) 46
59.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
97.5%
Common 2
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
6.5%
아 4
 
5.2%
시 4
 
5.2%
국 4
 
5.2%
나 3
 
3.9%
레 3
 
3.9%
트 2
 
2.6%
중 2
 
2.6%
루 2
 
2.6%
리 2
 
2.6%
Other values (43) 46
59.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
97.5%
ASCII 2
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
6.5%
아 4
 
5.2%
시 4
 
5.2%
국 4
 
5.2%
나 3
 
3.9%
레 3
 
3.9%
트 2
 
2.6%
중 2
 
2.6%
루 2
 
2.6%
리 2
 
2.6%
Other values (43) 46
59.7%
ASCII
ValueCountFrequency (%)
2
100.0%

국가명_영문_
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:05:11.615871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length17
Mean length12.428571
Min length4

Characters and Unicode

Total characters261
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowAustralia
2nd rowBrunei Darussalam
3rd rowCanada
4th rowIndonesia
5th rowJapan
ValueCountFrequency (%)
republic 3
 
7.3%
of 3
 
7.3%
the 3
 
7.3%
china 2
 
4.9%
new 2
 
4.9%
australia 1
 
2.4%
papua 1
 
2.4%
kong 1
 
2.4%
chinese 1
 
2.4%
taipei 1
 
2.4%
Other values (23) 23
56.1%
2023-12-13T06:05:11.985355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 30
 
11.5%
e 28
 
10.7%
i 24
 
9.2%
21
 
8.0%
n 18
 
6.9%
l 11
 
4.2%
o 11
 
4.2%
s 11
 
4.2%
u 10
 
3.8%
p 10
 
3.8%
Other values (33) 87
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 201
77.0%
Uppercase Letter 37
 
14.2%
Space Separator 21
 
8.0%
Connector Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 30
14.9%
e 28
13.9%
i 24
11.9%
n 18
9.0%
l 11
 
5.5%
o 11
 
5.5%
s 11
 
5.5%
u 10
 
5.0%
p 10
 
5.0%
h 9
 
4.5%
Other values (11) 39
19.4%
Uppercase Letter
ValueCountFrequency (%)
C 5
13.5%
P 4
10.8%
T 4
10.8%
R 4
10.8%
N 3
 
8.1%
K 2
 
5.4%
M 2
 
5.4%
S 2
 
5.4%
U 1
 
2.7%
H 1
 
2.7%
Other values (9) 9
24.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 238
91.2%
Common 23
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 30
 
12.6%
e 28
 
11.8%
i 24
 
10.1%
n 18
 
7.6%
l 11
 
4.6%
o 11
 
4.6%
s 11
 
4.6%
u 10
 
4.2%
p 10
 
4.2%
h 9
 
3.8%
Other values (30) 76
31.9%
Common
ValueCountFrequency (%)
21
91.3%
_ 1
 
4.3%
' 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 30
 
11.5%
e 28
 
10.7%
i 24
 
9.2%
21
 
8.0%
n 18
 
6.9%
l 11
 
4.2%
o 11
 
4.2%
s 11
 
4.2%
u 10
 
3.8%
p 10
 
3.8%
Other values (33) 87
33.3%

가입일
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
1989-11-01
12 
1991-11-01
3 
1998-11-01
3 
1993-11-01
2 
1994-11-01
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row1989-11-01
2nd row1989-11-01
3rd row1989-11-01
4th row1989-11-01
5th row1989-11-01

Common Values

ValueCountFrequency (%)
1989-11-01 12
57.1%
1991-11-01 3
 
14.3%
1998-11-01 3
 
14.3%
1993-11-01 2
 
9.5%
1994-11-01 1
 
4.8%

Length

2023-12-13T06:05:12.148892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:05:12.276980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1989-11-01 12
57.1%
1991-11-01 3
 
14.3%
1998-11-01 3
 
14.3%
1993-11-01 2
 
9.5%
1994-11-01 1
 
4.8%

담당기관
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:05:12.541068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length55
Mean length49.333333
Min length19

Characters and Unicode

Total characters1036
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowAustralian Government Department of Jobs and Small Business
2nd rowInternational Research & Cooperation _IRC_ Darussalam Enterprise _DARe_
3rd rowSmall Business Branch Innovation_ Science and Economic Development
4th rowMinistry of Cooperatives and SMEs
5th rowOffice for International Cooperation_ SME Agency_ Japan
ValueCountFrequency (%)
of 13
 
9.6%
and 12
 
8.9%
ministry 8
 
5.9%
department 6
 
4.4%
trade 5
 
3.7%
cooperation 4
 
3.0%
enterprise 4
 
3.0%
international 4
 
3.0%
sme 4
 
3.0%
smes 3
 
2.2%
Other values (54) 72
53.3%
2023-12-13T06:05:13.274694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
11.4%
n 92
 
8.9%
o 78
 
7.5%
e 71
 
6.9%
a 70
 
6.8%
i 69
 
6.7%
t 66
 
6.4%
r 62
 
6.0%
s 40
 
3.9%
m 29
 
2.8%
Other values (33) 341
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 749
72.3%
Uppercase Letter 144
 
13.9%
Space Separator 118
 
11.4%
Connector Punctuation 21
 
2.0%
Other Punctuation 4
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 92
12.3%
o 78
10.4%
e 71
9.5%
a 70
9.3%
i 69
9.2%
t 66
8.8%
r 62
8.3%
s 40
 
5.3%
m 29
 
3.9%
l 27
 
3.6%
Other values (11) 145
19.4%
Uppercase Letter
ValueCountFrequency (%)
M 20
13.9%
E 20
13.9%
S 18
12.5%
I 15
10.4%
D 12
8.3%
C 12
8.3%
A 9
6.2%
T 8
 
5.6%
P 7
 
4.9%
B 5
 
3.5%
Other values (8) 18
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 893
86.2%
Common 143
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 92
 
10.3%
o 78
 
8.7%
e 71
 
8.0%
a 70
 
7.8%
i 69
 
7.7%
t 66
 
7.4%
r 62
 
6.9%
s 40
 
4.5%
m 29
 
3.2%
l 27
 
3.0%
Other values (29) 289
32.4%
Common
ValueCountFrequency (%)
118
82.5%
_ 21
 
14.7%
. 3
 
2.1%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
 
11.4%
n 92
 
8.9%
o 78
 
7.5%
e 71
 
6.9%
a 70
 
6.8%
i 69
 
6.7%
t 66
 
6.4%
r 62
 
6.0%
s 40
 
3.9%
m 29
 
2.8%
Other values (33) 341
32.9%

홈페이지주소_URL_
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-13T06:05:13.499082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length40
Mean length36.666667
Min length15

Characters and Unicode

Total characters770
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowwww.employment.gov.au/
2nd rowwww.dare.gov.bn/
3rd rowwww.canada.ca/en.htm
4th rowwww.forseaa.org/en/home
5th rowwww.chusho.meti.go.jp/index.html
ValueCountFrequency (%)
www.employment.gov.au 1
 
4.8%
www.commerce.gov/bureaus-and-offices/ita 1
 
4.8%
www.innovationpolicyplatform.org/www.innovationpolicyplatform.org/content/russian-federation/index.html 1
 
4.8%
www.poverty-action.org/organization/ministry-production-peru 1
 
4.8%
www.globalsecurity.org/military/world/chile/economy.htm 1
 
4.8%
www.transparencypng.org.pg 1
 
4.8%
www.gob.mx/tramites/economia 1
 
4.8%
www.moea.gov.tw 1
 
4.8%
www.tid.gov.hk/eindex.html 1
 
4.8%
www.moea.gov.tw/mns/populace/home/home.aspx 1
 
4.8%
Other values (11) 11
52.4%
2023-12-13T06:05:13.804122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 70
 
9.1%
. 67
 
8.7%
o 63
 
8.2%
e 52
 
6.8%
n 45
 
5.8%
/ 44
 
5.7%
t 42
 
5.5%
i 38
 
4.9%
a 34
 
4.4%
r 34
 
4.4%
Other values (26) 281
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 628
81.6%
Other Punctuation 112
 
14.5%
Dash Punctuation 13
 
1.7%
Uppercase Letter 13
 
1.7%
Decimal Number 4
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 70
 
11.1%
o 63
 
10.0%
e 52
 
8.3%
n 45
 
7.2%
t 42
 
6.7%
i 38
 
6.1%
a 34
 
5.4%
r 34
 
5.4%
m 31
 
4.9%
s 27
 
4.3%
Other values (15) 192
30.6%
Uppercase Letter
ValueCountFrequency (%)
H 5
38.5%
P 2
 
15.4%
E 2
 
15.4%
M 2
 
15.4%
S 2
 
15.4%
Other Punctuation
ValueCountFrequency (%)
. 67
59.8%
/ 44
39.3%
: 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
1 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 641
83.2%
Common 129
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 70
 
10.9%
o 63
 
9.8%
e 52
 
8.1%
n 45
 
7.0%
t 42
 
6.6%
i 38
 
5.9%
a 34
 
5.3%
r 34
 
5.3%
m 31
 
4.8%
s 27
 
4.2%
Other values (20) 205
32.0%
Common
ValueCountFrequency (%)
. 67
51.9%
/ 44
34.1%
- 13
 
10.1%
0 3
 
2.3%
1 1
 
0.8%
: 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 70
 
9.1%
. 67
 
8.7%
o 63
 
8.2%
e 52
 
6.8%
n 45
 
5.8%
/ 44
 
5.7%
t 42
 
5.5%
i 38
 
4.9%
a 34
 
4.4%
r 34
 
4.4%
Other values (26) 281
36.5%

Interactions

2023-12-13T06:05:10.232033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:05:13.889138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번국가명_국문_국가명_영문_가입일담당기관홈페이지주소_URL_
연번1.0001.0001.0000.9521.0001.000
국가명_국문_1.0001.0001.0001.0001.0001.000
국가명_영문_1.0001.0001.0001.0001.0001.000
가입일0.9521.0001.0001.0001.0001.000
담당기관1.0001.0001.0001.0001.0001.000
홈페이지주소_URL_1.0001.0001.0001.0001.0001.000
2023-12-13T06:05:13.985077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가입일
연번1.0000.643
가입일0.6431.000

Missing values

2023-12-13T06:05:10.358427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:05:10.495420image/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

연번국가명_국문_국가명_영문_가입일담당기관홈페이지주소_URL_
01오스트레일리아Australia1989-11-01Australian Government Department of Jobs and Small Businesswww.employment.gov.au/
12브루나이Brunei Darussalam1989-11-01International Research & Cooperation _IRC_ Darussalam Enterprise _DARe_www.dare.gov.bn/
23캐나다Canada1989-11-01Small Business Branch Innovation_ Science and Economic Developmentwww.canada.ca/en.htm
34인도네시아Indonesia1989-11-01Ministry of Cooperatives and SMEswww.forseaa.org/en/home
45일본Japan1989-11-01Office for International Cooperation_ SME Agency_ Japanwww.chusho.meti.go.jp/index.html
56대한민국Republic of Korea1989-11-01Korea SMEs and Startup Agency _KOSME__ Global Cooperation Departmentwww.kosmes.or.kr/sbc/SH/EHP/SHEHP001M0.do
67말레이시아Malaysia1989-11-01SME Corporation Malaysia _SME Corp._www.smecorp.gov.my/index.php/en/
78뉴질랜드New Zealand1989-11-01Enterprise Policy_ Science_ Skills and Innovation Ministry of Business_ Innovation and Employmentwww.mbie.govt.nz/business-and-employment/business/intellectual-property/copyright-protection-in-new-zealand/
89필리핀The Republic of the Philippines1989-11-01Bureau of International Trade Relations_ DTIwww.dti.gov.ph/
910싱가포르Singapore1989-11-01Enterprise Singaporewww.enterprisesg.gov.sg
연번국가명_국문_국가명_영문_가입일담당기관홈페이지주소_URL_
1112미국United States1989-11-01U.S. Department of Commerce_ International Trade Administrationwww.commerce.gov/bureaus-and-offices/ita
1213중국People's Republic of China1991-11-01Ministry of Industry and Information Technology _MIIT_www.moea.gov.tw/Mns/populace/home/Home.aspx
1314홍콩 차이나Hong Kong_ China1991-11-01Trade and Industry Departmentwww.tid.gov.hk/eindex.html
1415중화 타이베이Chinese Taipei1991-11-01Small and Medium Enterprise Administration Ministry of Economic Affairswww.moea.gov.tw/
1516멕시코Mexico1993-11-01Ministry of Economywww.gob.mx/tramites/economia
1617파푸어뉴기니Papua New Guinea1993-11-01PNG APEC Secretariatwww.transparencypng.org.pg/
1718칠레Chile1994-11-01Ministry of Economywww.globalsecurity.org/military/world/chile/economy.htm
1819페루Peru1998-11-01Ministry of Productionwww.poverty-action.org/organization/ministry-production-peru
1920러시아The Russian Federation1998-11-01SME Development and Competition Departmentwww.innovationpolicyplatform.org/www.innovationpolicyplatform.org/content/russian-federation/index.html
2021베트남Viet Nam1998-11-01APEC and Economic Cooperation Division_ Multilateral Trade Policy Department_ Ministry of Industry and Trade of Viet Namwww.moit.gov.vn