Overview

Dataset statistics

Number of variables11
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory93.0 B

Variable types

Categorical6
Text2
Numeric1
Boolean2

Dataset

Description환경경영정보포털에서 제공하는 유관 사이트 url 정보 제공(분류, 사이트명, URL, 등록자, 수정자, 등록일자 등)
Author환경부
URLhttps://www.data.go.kr/data/15039238/fileData.do

Alerts

노출여부 has constant value ""Constant
삭제여부 has constant value ""Constant
등록자 has constant value ""Constant
등록일 has constant value ""Constant
수정자 has constant value ""Constant
수정일 has constant value ""Constant
분류 is highly overall correlated with 구분(C_유관기관 F_패밀리)High correlation
구분(C_유관기관 F_패밀리) is highly overall correlated with 분류High correlation
제목 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:58:07.793732
Analysis finished2023-12-12 05:58:08.447585
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
관련기관/단체/협회
9 
환경부 및 소속기관
7 
공공기관
4 
녹색산업 육성분야
3 
녹색제품 경영분야
3 
Other values (4)
7 

Length

Max length10
Median length9
Mean length8.3030303
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row환경부 및 소속기관
2nd row환경부 및 소속기관
3rd row환경부 및 소속기관
4th row환경부 및 소속기관
5th row환경부 및 소속기관

Common Values

ValueCountFrequency (%)
관련기관/단체/협회 9
27.3%
환경부 및 소속기관 7
21.2%
공공기관 4
12.1%
녹색산업 육성분야 3
 
9.1%
녹색제품 경영분야 3
 
9.1%
환경R&D분야 2
 
6.1%
해외시장정보분야 2
 
6.1%
무역거래지원 2
 
6.1%
기타 1
 
3.0%

Length

2023-12-12T14:58:08.510737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:08.615392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관련기관/단체/협회 9
17.0%
환경부 7
13.2%
및 7
13.2%
소속기관 7
13.2%
공공기관 4
7.5%
녹색산업 3
 
5.7%
육성분야 3
 
5.7%
녹색제품 3
 
5.7%
경영분야 3
 
5.7%
환경r&d분야 2
 
3.8%
Other values (3) 5
9.4%

제목
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T14:58:08.797055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.2424242
Min length3

Characters and Unicode

Total characters305
Distinct characters114
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row환경부
2nd row기상청
3rd row국립환경과학원
4th row국립환경인력개발원
5th row국립생물자원관
ValueCountFrequency (%)
환경산업 2
 
5.4%
환경부 1
 
2.7%
녹색제품정보시스템 1
 
2.7%
환경r&d연구정보시스템 1
 
2.7%
eco-plus 1
 
2.7%
연구관리시스템 1
 
2.7%
사이버환경실무교육 1
 
2.7%
사이버환경박람회 1
 
2.7%
환경취업포털 1
 
2.7%
환경경영정보포털 1
 
2.7%
Other values (26) 26
70.3%
2023-12-12T14:58:09.132694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 23
 
7.5%
환 22
 
7.2%
국 13
 
4.3%
회 10
 
3.3%
한 9
 
3.0%
정 9
 
3.0%
보 8
 
2.6%
원 7
 
2.3%
협 7
 
2.3%
기 5
 
1.6%
Other values (104) 192
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
88.5%
Uppercase Letter 14
 
4.6%
Lowercase Letter 13
 
4.3%
Space Separator 4
 
1.3%
Dash Punctuation 3
 
1.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 23
 
8.5%
환 22
 
8.1%
국 13
 
4.8%
회 10
 
3.7%
한 9
 
3.3%
정 9
 
3.3%
보 8
 
3.0%
원 7
 
2.6%
협 7
 
2.6%
기 5
 
1.9%
Other values (81) 157
58.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
14.3%
P 2
14.3%
E 2
14.3%
A 1
7.1%
V 1
7.1%
M 1
7.1%
R 1
7.1%
D 1
7.1%
L 1
7.1%
U 1
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
a 2
15.4%
c 2
15.4%
r 1
 
7.7%
k 1
 
7.7%
t 1
 
7.7%
p 1
 
7.7%
l 1
 
7.7%
o 1
 
7.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
88.5%
Latin 27
 
8.9%
Common 8
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 23
 
8.5%
환 22
 
8.1%
국 13
 
4.8%
회 10
 
3.7%
한 9
 
3.3%
정 9
 
3.3%
보 8
 
3.0%
원 7
 
2.6%
협 7
 
2.6%
기 5
 
1.9%
Other values (81) 157
58.1%
Latin
ValueCountFrequency (%)
e 3
 
11.1%
a 2
 
7.4%
C 2
 
7.4%
c 2
 
7.4%
P 2
 
7.4%
E 2
 
7.4%
A 1
 
3.7%
V 1
 
3.7%
M 1
 
3.7%
r 1
 
3.7%
Other values (10) 10
37.0%
Common
ValueCountFrequency (%)
4
50.0%
- 3
37.5%
& 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
88.5%
ASCII 35
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 23
 
8.5%
환 22
 
8.1%
국 13
 
4.8%
회 10
 
3.7%
한 9
 
3.3%
정 9
 
3.3%
보 8
 
3.0%
원 7
 
2.6%
협 7
 
2.6%
기 5
 
1.9%
Other values (81) 157
58.1%
ASCII
ValueCountFrequency (%)
4
 
11.4%
- 3
 
8.6%
e 3
 
8.6%
a 2
 
5.7%
C 2
 
5.7%
c 2
 
5.7%
P 2
 
5.7%
E 2
 
5.7%
A 1
 
2.9%
V 1
 
2.9%
Other values (13) 13
37.1%

주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T14:58:09.370740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length21.393939
Min length16

Characters and Unicode

Total characters706
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st rowhttp://www.me.go.kr
2nd rowhttp://www.kma.go.kr
3rd rowhttp://www.nier.go.kr
4th rowhttp://ehrd.me.go.kr
5th rowhttp://www.nibr.go.kr
ValueCountFrequency (%)
http://www.me.go.kr 1
 
3.0%
http://www.kwaste.or.kr 1
 
3.0%
http://export.ecotrade.or.kr 1
 
3.0%
http://ecotrade.or.kr 1
 
3.0%
http://apec-vc.or.kr 1
 
3.0%
http://www.eishub.or.kr 1
 
3.0%
http://consulting.konetic.or.kr 1
 
3.0%
http://gmi.go.kr 1
 
3.0%
http://greenproduct.go.kr 1
 
3.0%
http://ecojob.re.kr 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T14:58:09.743062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 89
12.6%
t 77
10.9%
r 67
9.5%
/ 66
9.3%
w 57
 
8.1%
o 46
 
6.5%
k 44
 
6.2%
p 40
 
5.7%
e 39
 
5.5%
h 36
 
5.1%
Other values (17) 145
20.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 517
73.2%
Other Punctuation 188
 
26.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 77
14.9%
r 67
13.0%
w 57
11.0%
o 46
8.9%
k 44
8.5%
p 40
7.7%
e 39
7.5%
h 36
7.0%
c 21
 
4.1%
i 16
 
3.1%
Other values (13) 74
14.3%
Other Punctuation
ValueCountFrequency (%)
. 89
47.3%
/ 66
35.1%
: 33
 
17.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 517
73.2%
Common 189
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 77
14.9%
r 67
13.0%
w 57
11.0%
o 46
8.9%
k 44
8.5%
p 40
7.7%
e 39
7.5%
h 36
7.0%
c 21
 
4.1%
i 16
 
3.1%
Other values (13) 74
14.3%
Common
ValueCountFrequency (%)
. 89
47.1%
/ 66
34.9%
: 33
 
17.5%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 89
12.6%
t 77
10.9%
r 67
9.5%
/ 66
9.3%
w 57
 
8.1%
o 46
 
6.5%
k 44
 
6.2%
p 40
 
5.7%
e 39
 
5.5%
h 36
 
5.1%
Other values (17) 145
20.5%

순서
Real number (ℝ)

Distinct20
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1212121
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T14:58:09.873931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q15
median9
Q313
95-th percentile18.4
Maximum20
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4299953
Coefficient of variation (CV)0.59531509
Kurtosis-0.8290604
Mean9.1212121
Median Absolute Deviation (MAD)4
Skewness0.31600126
Sum301
Variance29.484848
MonotonicityNot monotonic
2023-12-12T14:58:09.993213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 2
 
6.1%
8 2
 
6.1%
13 2
 
6.1%
12 2
 
6.1%
2 2
 
6.1%
10 2
 
6.1%
9 2
 
6.1%
11 2
 
6.1%
7 2
 
6.1%
6 2
 
6.1%
Other values (10) 13
39.4%
ValueCountFrequency (%)
1 2
6.1%
2 2
6.1%
3 2
6.1%
4 2
6.1%
5 2
6.1%
6 2
6.1%
7 2
6.1%
8 2
6.1%
9 2
6.1%
10 2
6.1%
ValueCountFrequency (%)
20 1
3.0%
19 1
3.0%
18 1
3.0%
17 1
3.0%
16 1
3.0%
15 1
3.0%
14 1
3.0%
13 2
6.1%
12 2
6.1%
11 2
6.1%

노출여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
33 
ValueCountFrequency (%)
True 33
100.0%
2023-12-12T14:58:10.095747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
ValueCountFrequency (%)
False 33
100.0%
2023-12-12T14:58:10.170434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
admin
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
admin 33
100.0%

Length

2023-12-12T14:58:10.261458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:10.397582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
admin 33
100.0%

등록일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2017-09-27
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-09-27
2nd row2017-09-27
3rd row2017-09-27
4th row2017-09-27
5th row2017-09-27

Common Values

ValueCountFrequency (%)
2017-09-27 33
100.0%

Length

2023-12-12T14:58:10.493695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:10.593999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-09-27 33
100.0%

수정자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
admin
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
admin 33
100.0%

Length

2023-12-12T14:58:10.685732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:10.770200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
admin 33
100.0%

수정일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2017-09-27
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-09-27
2nd row2017-09-27
3rd row2017-09-27
4th row2017-09-27
5th row2017-09-27

Common Values

ValueCountFrequency (%)
2017-09-27 33
100.0%

Length

2023-12-12T14:58:10.879458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:10.985285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-09-27 33
100.0%

구분(C_유관기관 F_패밀리)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
C
20 
F
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
C 20
60.6%
F 13
39.4%

Length

2023-12-12T14:58:11.112322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:11.212980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 20
60.6%
f 13
39.4%

Interactions

2023-12-12T14:58:08.085226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:58:11.298619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류제목주소순서구분(C_유관기관 F_패밀리)
분류1.0001.0001.0000.7341.000
제목1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
순서0.7341.0001.0001.0000.000
구분(C_유관기관 F_패밀리)1.0001.0001.0000.0001.000
2023-12-12T14:58:11.402495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류구분(C_유관기관 F_패밀리)
분류1.0000.880
구분(C_유관기관 F_패밀리)0.8801.000
2023-12-12T14:58:11.492341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서분류구분(C_유관기관 F_패밀리)
순서1.0000.4280.000
분류0.4281.0000.880
구분(C_유관기관 F_패밀리)0.0000.8801.000

Missing values

2023-12-12T14:58:08.224622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:58:08.384114image/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

분류제목주소순서노출여부삭제여부등록자등록일수정자수정일구분(C_유관기관 F_패밀리)
0환경부 및 소속기관환경부http://www.me.go.kr1YNadmin2017-09-27admin2017-09-27C
1환경부 및 소속기관기상청http://www.kma.go.kr2YNadmin2017-09-27admin2017-09-27C
2환경부 및 소속기관국립환경과학원http://www.nier.go.kr3YNadmin2017-09-27admin2017-09-27C
3환경부 및 소속기관국립환경인력개발원http://ehrd.me.go.kr4YNadmin2017-09-27admin2017-09-27C
4환경부 및 소속기관국립생물자원관http://www.nibr.go.kr5YNadmin2017-09-27admin2017-09-27C
5환경부 및 소속기관중앙환경분쟁조정위원회http://edc.me.go.kr6YNadmin2017-09-27admin2017-09-27C
6환경부 및 소속기관온실가스종합정보센터http://www.gir.go.kr7YNadmin2017-09-27admin2017-09-27C
7공공기관한국환경산업기술원http://www.keiti.re.kr8YNadmin2017-09-27admin2017-09-27C
8공공기관한국환경공단http://www.keco.or.kr9YNadmin2017-09-27admin2017-09-27C
9공공기관수도권매립지관리공사http://www.slc.or.kr10YNadmin2017-09-27admin2017-09-27C
분류제목주소순서노출여부삭제여부등록자등록일수정자수정일구분(C_유관기관 F_패밀리)
23녹색산업 육성분야사이버환경박람회http://ecoexpo.or.kr4YNadmin2017-09-27admin2017-09-27F
24녹색산업 육성분야환경취업포털http://ecojob.re.kr5YNadmin2017-09-27admin2017-09-27F
25녹색제품 경영분야녹색제품정보시스템http://greenproduct.go.kr6YNadmin2017-09-27admin2017-09-27F
26녹색제품 경영분야환경경영정보포털http://gmi.go.kr7YNadmin2017-09-27admin2017-09-27F
27녹색제품 경영분야환경컨설팅정보시스템http://consulting.konetic.or.kr8YNadmin2017-09-27admin2017-09-27F
28해외시장정보분야해외환경통합정보망http://www.eishub.or.kr9YNadmin2017-09-27admin2017-09-27F
29해외시장정보분야APEC-VC 해외환경기술정보망http://apec-vc.or.kr10YNadmin2017-09-27admin2017-09-27F
30무역거래지원환경산업 e-Marketplacehttp://ecotrade.or.kr11YNadmin2017-09-27admin2017-09-27F
31무역거래지원환경산업 무역포털http://export.ecotrade.or.kr12YNadmin2017-09-27admin2017-09-27F
32기타어린이환경과건강포털http://chemistory.go.kr13YNadmin2017-09-27admin2017-09-27F