Overview

Dataset statistics

Number of variables5
Number of observations207
Missing cells9
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory40.6 B

Variable types

Text3
Categorical2

Dataset

Description국립낙동강생물자원관의 조직과 업무내용입니다. 해당 데이터에는 구분, 부서명, 업무내용에 대한 정보가 포함되어 있습니다.
Author국립낙동강생물자원관
URLhttps://www.data.go.kr/data/15039049/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 9 (4.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:57:25.784548
Analysis finished2023-12-12 22:57:26.181312
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct206
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T07:57:26.418514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9806763
Min length2

Characters and Unicode

Total characters617
Distinct characters134
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

Unique205 ?
Unique (%)99.0%

Sample

1st row유호
2nd row권영창
3rd row이창민
4th row백기운
5th row김상기
ValueCountFrequency (%)
류시현 2
 
1.0%
황선이 1
 
0.5%
김준성 1
 
0.5%
이상득 1
 
0.5%
김외정 1
 
0.5%
김선유 1
 
0.5%
정남일 1
 
0.5%
김의진 1
 
0.5%
박상화 1
 
0.5%
정지영 1
 
0.5%
Other values (196) 196
94.7%
2023-12-13T07:57:27.069523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
6.8%
36
 
5.8%
27
 
4.4%
25
 
4.1%
18
 
2.9%
17
 
2.8%
16
 
2.6%
14
 
2.3%
13
 
2.1%
12
 
1.9%
Other values (124) 397
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
6.8%
36
 
5.8%
27
 
4.4%
25
 
4.1%
18
 
2.9%
17
 
2.8%
16
 
2.6%
14
 
2.3%
13
 
2.1%
12
 
1.9%
Other values (124) 397
64.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
6.8%
36
 
5.8%
27
 
4.4%
25
 
4.1%
18
 
2.9%
17
 
2.8%
16
 
2.6%
14
 
2.3%
13
 
2.1%
12
 
1.9%
Other values (124) 397
64.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
 
6.8%
36
 
5.8%
27
 
4.4%
25
 
4.1%
18
 
2.9%
17
 
2.8%
16
 
2.6%
14
 
2.3%
13
 
2.1%
12
 
1.9%
Other values (124) 397
64.3%

부서명
Categorical

Distinct30
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
시설안전부
33 
인사총무부
21 
전시부
20 
자원은행팀
14 
원핵생물연구팀
11 
Other values (25)
108 

Length

Max length8
Median length5
Mean length5.1594203
Min length2

Unique

Unique10 ?
Unique (%)4.8%

Sample

1st row관장
2nd row전략기획실
3rd row기획부
4th row기획부
5th row기획부

Common Values

ValueCountFrequency (%)
시설안전부 33
15.9%
인사총무부 21
 
10.1%
전시부 20
 
9.7%
자원은행팀 14
 
6.8%
원핵생물연구팀 11
 
5.3%
원생생물연구팀 10
 
4.8%
식물연구팀 9
 
4.3%
균류연구팀 8
 
3.9%
동물연구팀 8
 
3.9%
환경미생물연구팀 8
 
3.9%
Other values (20) 65
31.4%

Length

2023-12-13T07:57:27.185565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시설안전부 33
15.9%
인사총무부 21
 
10.1%
전시부 20
 
9.7%
자원은행팀 14
 
6.8%
원핵생물연구팀 11
 
5.3%
원생생물연구팀 10
 
4.8%
식물연구팀 9
 
4.3%
균류연구팀 8
 
3.9%
동물연구팀 8
 
3.9%
환경미생물연구팀 8
 
3.9%
Other values (20) 65
31.4%

전화번호
Text

MISSING 

Distinct159
Distinct (%)80.3%
Missing9
Missing (%)4.3%
Memory size1.7 KiB
2023-12-13T07:57:27.381392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005051
Min length12

Characters and Unicode

Total characters2377
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)74.2%

Sample

1st row054-530-0800
2nd row054-530-0702
3rd row054-530-0710
4th row054-530-0711
5th row054-530-0712
ValueCountFrequency (%)
054-530-0982 12
 
6.1%
054-530-0984 8
 
4.0%
054-530-0985 7
 
3.5%
054-530-0782 6
 
3.0%
054-530-0987 3
 
1.5%
054-530-0787 3
 
1.5%
054-530-0804 2
 
1.0%
054-530-0928 2
 
1.0%
054-530-0981 2
 
1.0%
054-530-0763 2
 
1.0%
Other values (149) 151
76.3%
2023-12-13T07:57:27.682877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 636
26.8%
5 437
18.4%
- 396
16.7%
4 243
 
10.2%
3 239
 
10.1%
8 126
 
5.3%
7 95
 
4.0%
9 79
 
3.3%
2 56
 
2.4%
1 36
 
1.5%
Other values (2) 34
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1980
83.3%
Dash Punctuation 396
 
16.7%
Control 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 636
32.1%
5 437
22.1%
4 243
 
12.3%
3 239
 
12.1%
8 126
 
6.4%
7 95
 
4.8%
9 79
 
4.0%
2 56
 
2.8%
1 36
 
1.8%
6 33
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 396
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 636
26.8%
5 437
18.4%
- 396
16.7%
4 243
 
10.2%
3 239
 
10.1%
8 126
 
5.3%
7 95
 
4.0%
9 79
 
3.3%
2 56
 
2.4%
1 36
 
1.5%
Other values (2) 34
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 636
26.8%
5 437
18.4%
- 396
16.7%
4 243
 
10.2%
3 239
 
10.1%
8 126
 
5.3%
7 95
 
4.0%
9 79
 
3.3%
2 56
 
2.4%
1 36
 
1.5%
Other values (2) 34
 
1.4%
Distinct172
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T07:57:27.929793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length62
Mean length40.463768
Min length2

Characters and Unicode

Total characters8376
Distinct characters339
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)77.3%

Sample

1st row국립낙동강생물자원관 업무 총괄
2nd row전략기획실 업무 총괄
3rd row기획부 업무총괄
4th row- 출연금 요구, 심의·조정 등 중·단기 예산·인력확보에 관한 사항 담당, - 당해연도 (館)예산편성 편성·조정(이·전용 포함)에 관한 사항 담당
5th row- 중장기 경영전략 및 목표(ESG 포함) 수립·조정에 관한 사항 담당, - 주요업무계획 수립·관리에 관한 사항 담당(館-업무계획, 長,次-업무보고 등)
ValueCountFrequency (%)
295
 
13.9%
110
 
5.2%
관한 108
 
5.1%
업무 86
 
4.1%
사항 85
 
4.0%
42
 
2.0%
시설물 39
 
1.8%
관리 34
 
1.6%
지원 34
 
1.6%
총괄 32
 
1.5%
Other values (644) 1253
59.2%
2023-12-13T07:57:28.280684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1915
 
22.9%
- 293
 
3.5%
268
 
3.2%
, 242
 
2.9%
158
 
1.9%
157
 
1.9%
155
 
1.9%
140
 
1.7%
135
 
1.6%
119
 
1.4%
Other values (329) 4794
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5591
66.8%
Space Separator 1915
 
22.9%
Other Punctuation 350
 
4.2%
Dash Punctuation 293
 
3.5%
Open Punctuation 93
 
1.1%
Close Punctuation 93
 
1.1%
Uppercase Letter 23
 
0.3%
Decimal Number 16
 
0.2%
Initial Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
268
 
4.8%
158
 
2.8%
157
 
2.8%
155
 
2.8%
140
 
2.5%
135
 
2.4%
119
 
2.1%
111
 
2.0%
110
 
2.0%
109
 
1.9%
Other values (295) 4129
73.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
21.7%
B 3
13.0%
D 3
13.0%
G 1
 
4.3%
E 1
 
4.3%
F 1
 
4.3%
T 1
 
4.3%
P 1
 
4.3%
C 1
 
4.3%
N 1
 
4.3%
Other values (5) 5
21.7%
Decimal Number
ValueCountFrequency (%)
2 7
43.8%
1 3
18.8%
3 2
 
12.5%
0 2
 
12.5%
9 1
 
6.2%
5 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 242
69.1%
· 95
 
27.1%
/ 13
 
3.7%
Open Punctuation
ValueCountFrequency (%)
( 82
88.2%
6
 
6.5%
5
 
5.4%
Close Punctuation
ValueCountFrequency (%)
) 82
88.2%
6
 
6.5%
5
 
5.4%
Space Separator
ValueCountFrequency (%)
1915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5586
66.7%
Common 2762
33.0%
Latin 23
 
0.3%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
268
 
4.8%
158
 
2.8%
157
 
2.8%
155
 
2.8%
140
 
2.5%
135
 
2.4%
119
 
2.1%
111
 
2.0%
110
 
2.0%
109
 
2.0%
Other values (291) 4124
73.8%
Common
ValueCountFrequency (%)
1915
69.3%
- 293
 
10.6%
, 242
 
8.8%
· 95
 
3.4%
( 82
 
3.0%
) 82
 
3.0%
/ 13
 
0.5%
2 7
 
0.3%
6
 
0.2%
6
 
0.2%
Other values (9) 21
 
0.8%
Latin
ValueCountFrequency (%)
S 5
21.7%
B 3
13.0%
D 3
13.0%
G 1
 
4.3%
E 1
 
4.3%
F 1
 
4.3%
T 1
 
4.3%
P 1
 
4.3%
C 1
 
4.3%
N 1
 
4.3%
Other values (5) 5
21.7%
Han
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5576
66.6%
ASCII 2666
31.8%
None 117
 
1.4%
Compat Jamo 10
 
0.1%
CJK 5
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1915
71.8%
- 293
 
11.0%
, 242
 
9.1%
( 82
 
3.1%
) 82
 
3.1%
/ 13
 
0.5%
2 7
 
0.3%
S 5
 
0.2%
B 3
 
0.1%
D 3
 
0.1%
Other values (17) 21
 
0.8%
Hangul
ValueCountFrequency (%)
268
 
4.8%
158
 
2.8%
157
 
2.8%
155
 
2.8%
140
 
2.5%
135
 
2.4%
119
 
2.1%
111
 
2.0%
110
 
2.0%
109
 
2.0%
Other values (290) 4114
73.8%
None
ValueCountFrequency (%)
· 95
81.2%
6
 
5.1%
6
 
5.1%
5
 
4.3%
5
 
4.3%
Compat Jamo
ValueCountFrequency (%)
10
100.0%
CJK
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-05-17
207 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-17
2nd row2023-05-17
3rd row2023-05-17
4th row2023-05-17
5th row2023-05-17

Common Values

ValueCountFrequency (%)
2023-05-17 207
100.0%

Length

2023-12-13T07:57:28.443764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:57:28.546251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-17 207
100.0%

Missing values

2023-12-13T07:57:26.073875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:57:26.150193image/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

직원명부서명전화번호담당업무데이터기준일자
0유호관장054-530-0800국립낙동강생물자원관 업무 총괄2023-05-17
1권영창전략기획실054-530-0702전략기획실 업무 총괄2023-05-17
2이창민기획부054-530-0710기획부 업무총괄2023-05-17
3백기운기획부054-530-0711- 출연금 요구, 심의·조정 등 중·단기 예산·인력확보에 관한 사항 담당, - 당해연도 (館)예산편성 편성·조정(이·전용 포함)에 관한 사항 담당2023-05-17
4김상기기획부054-530-0712- 중장기 경영전략 및 목표(ESG 포함) 수립·조정에 관한 사항 담당, - 주요업무계획 수립·관리에 관한 사항 담당(館-업무계획, 長,次-업무보고 등)2023-05-17
5송하권기획부054-530-0714- 조직·정원 및 인력의 관리 통제에 관한 사항 담당(내규중심), - 간부·현안회의 운영 및 지시사항 등의 종합관리 담당2023-05-17
6김기훈기획부054-530-0713- 대정부 대응 담당(부서내 담당자가 없는 사항에 限), - 국정감사 및 국회업무 관련 담당(예산 관련 업무 지원 포함)2023-05-17
7양창주기획부054-530-0706대외협력자문(전문관실)2023-05-17
8김새롬기획부054-530-0715- 회의 자료준비·행사 지원, 공용물품 구매·관리 지원, - 지출·공용 차량 관리, 일일 보안점검 등 지원이 필요한 사항2023-05-17
9박미리산업화지원팀054-530-0943산업화지원팀 업무 지원2023-05-17
직원명부서명전화번호담당업무데이터기준일자
197서성현산업화지원팀054-530-0946- 산·학·연 협력 및 기술교육에 관한 계획 수립·수행 업무, - 기술 홍보물(소식지) 발간 및 배포 업무2023-05-17
198이소정인사총무부054-530-0736- 연구실 위험물 관리에 관한 사항 담당, - 연구본부 공용차량 관리 및 운영에 관한 사항 담당2023-05-17
199오영택소재상용화연구팀054-530-0880소재상용화연구팀 업무 총괄2023-05-17
200황병수소재상용화연구팀054-530-0882- 대관청 대응 업무 담당, - 상용화 후보소재 원료확보·표준화에 관한 사항2023-05-17
201김민진소재상용화연구팀054-530-0884- 생물소재 심화연구 및 기술개발에 관한 사항 , - 동향분석 및 수요조사 등에 관한 사항2023-05-17
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