Overview

Dataset statistics

Number of variables3
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory924.0 B
Average record size in memory28.0 B

Variable types

Text3

Dataset

Description국립낙동강생물자원관 홈페이지(www.nnibr.re.kr)에서 제공하는 부서 및 연락처 정보입니다.(부서명, 부서영문명, 연락처)
Author국립낙동강생물자원관
URLhttps://www.data.go.kr/data/15039045/fileData.do

Alerts

부서국문명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:36:12.483991
Analysis finished2023-12-12 17:36:12.791867
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부서국문명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:36:12.976785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.4848485
Min length3

Characters and Unicode

Total characters181
Distinct characters71
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

Unique33 ?
Unique (%)100.0%

Sample

1st row국립낙동강생물자원관
2nd row관장실
3rd row경영관리실
4th row기획부
5th row인사총무부
ValueCountFrequency (%)
국립낙동강생물자원관 1
 
3.0%
생물정보팀 1
 
3.0%
경영관리본부 1
 
3.0%
안내및기타 1
 
3.0%
본부장실 1
 
3.0%
혁신성과부 1
 
3.0%
전략기획실 1
 
3.0%
감사실 1
 
3.0%
자원은행팀 1
 
3.0%
자원은행정보실 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T02:36:13.376635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.1%
11
 
6.1%
11
 
6.1%
11
 
6.1%
10
 
5.5%
9
 
5.0%
8
 
4.4%
7
 
3.9%
4
 
2.2%
4
 
2.2%
Other values (61) 95
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
6.1%
11
 
6.1%
11
 
6.1%
11
 
6.1%
10
 
5.5%
9
 
5.0%
8
 
4.4%
7
 
3.9%
4
 
2.2%
4
 
2.2%
Other values (61) 95
52.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
6.1%
11
 
6.1%
11
 
6.1%
11
 
6.1%
10
 
5.5%
9
 
5.0%
8
 
4.4%
7
 
3.9%
4
 
2.2%
4
 
2.2%
Other values (61) 95
52.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
6.1%
11
 
6.1%
11
 
6.1%
11
 
6.1%
10
 
5.5%
9
 
5.0%
8
 
4.4%
7
 
3.9%
4
 
2.2%
4
 
2.2%
Other values (61) 95
52.5%
Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:36:13.597116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length36
Mean length29.575758
Min length5

Characters and Unicode

Total characters976
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st rowNNIBR
2nd rowPresident Department
3rd rowAdministrative Management Department
4th rowPlanning Division
5th rowPerformance Management Division
ValueCountFrequency (%)
division 12
 
11.2%
research 12
 
11.2%
team 9
 
8.4%
department 8
 
7.5%
6
 
5.6%
management 5
 
4.7%
bioresources 5
 
4.7%
performance 2
 
1.9%
animal 2
 
1.9%
support 2
 
1.9%
Other values (33) 44
41.1%
2023-12-13T02:36:13.938759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 101
 
10.3%
e 100
 
10.2%
78
 
8.0%
n 77
 
7.9%
a 72
 
7.4%
o 65
 
6.7%
t 61
 
6.2%
r 58
 
5.9%
s 45
 
4.6%
c 39
 
4.0%
Other values (30) 280
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 788
80.7%
Uppercase Letter 104
 
10.7%
Space Separator 78
 
8.0%
Other Punctuation 6
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 101
12.8%
e 100
12.7%
n 77
9.8%
a 72
9.1%
o 65
8.2%
t 61
7.7%
r 58
7.4%
s 45
 
5.7%
c 39
 
4.9%
m 35
 
4.4%
Other values (14) 135
17.1%
Uppercase Letter
ValueCountFrequency (%)
D 22
21.2%
R 14
13.5%
B 10
9.6%
T 10
9.6%
P 8
 
7.7%
E 7
 
6.7%
M 7
 
6.7%
A 6
 
5.8%
I 6
 
5.8%
F 4
 
3.8%
Other values (4) 10
9.6%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Punctuation
ValueCountFrequency (%)
& 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 892
91.4%
Common 84
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 101
11.3%
e 100
11.2%
n 77
 
8.6%
a 72
 
8.1%
o 65
 
7.3%
t 61
 
6.8%
r 58
 
6.5%
s 45
 
5.0%
c 39
 
4.4%
m 35
 
3.9%
Other values (28) 239
26.8%
Common
ValueCountFrequency (%)
78
92.9%
& 6
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 101
 
10.3%
e 100
 
10.2%
78
 
8.0%
n 77
 
7.9%
a 72
 
7.4%
o 65
 
6.7%
t 61
 
6.2%
r 58
 
5.9%
s 45
 
4.6%
c 39
 
4.0%
Other values (30) 280
28.7%
Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:36:14.141923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique28 ?
Unique (%)84.8%

Sample

1st row054-530-0700
2nd row054-530-0807
3rd row054-530-0703
4th row054-530-0714
5th row054-530-0733
ValueCountFrequency (%)
054-530-0707 3
 
9.1%
054-530-0804 2
 
6.1%
054-530-0700 1
 
3.0%
054-530-0807 1
 
3.0%
054-530-0725 1
 
3.0%
054-530-0702 1
 
3.0%
054-530-0912 1
 
3.0%
054-530-0895 1
 
3.0%
054-530-0825 1
 
3.0%
054-530-0945 1
 
3.0%
Other values (20) 20
60.6%
2023-12-13T02:36:14.466155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
28.5%
5 73
18.4%
- 66
16.7%
4 42
 
10.6%
3 42
 
10.6%
7 24
 
6.1%
8 16
 
4.0%
2 6
 
1.5%
9 6
 
1.5%
6 5
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
34.2%
5 73
22.1%
4 42
 
12.7%
3 42
 
12.7%
7 24
 
7.3%
8 16
 
4.8%
2 6
 
1.8%
9 6
 
1.8%
6 5
 
1.5%
1 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
28.5%
5 73
18.4%
- 66
16.7%
4 42
 
10.6%
3 42
 
10.6%
7 24
 
6.1%
8 16
 
4.0%
2 6
 
1.5%
9 6
 
1.5%
6 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
28.5%
5 73
18.4%
- 66
16.7%
4 42
 
10.6%
3 42
 
10.6%
7 24
 
6.1%
8 16
 
4.0%
2 6
 
1.5%
9 6
 
1.5%
6 5
 
1.3%

Correlations

2023-12-13T02:36:14.556627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서국문명부서영문명연락처
부서국문명1.0001.0001.000
부서영문명1.0001.0000.972
연락처1.0000.9721.000

Missing values

2023-12-13T02:36:12.692930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:36:12.761998image/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

부서국문명부서영문명연락처
0국립낙동강생물자원관NNIBR054-530-0700
1관장실President Department054-530-0807
2경영관리실Administrative Management Department054-530-0703
3기획부Planning Division054-530-0714
4인사총무부Performance Management Division054-530-0733
5재무회계부Finance & Accounting Division054-530-0742
6대외협력부External Relations Division054-530-0797
7전시교육실Exhibition & Education Department054-530-0704
8전시부Exhibition Division054-530-0777
9교육부Education Division054-530-0766
부서국문명부서영문명연락처
23식물연구팀Plant Research Team054-530-0825
24자원은행정보실Bioresources Collection & Information Technology Division054-530-0804
25자원은행팀Bioresources Collection & Research Division054-530-0895
26감사실Audit & Inspection Division054-530-0912
27전략기획실Strategic Planning Department054-530-0702
28혁신성과부Performance Management Division054-530-0725
29본부장실Executive Director Department054-530-0707
30안내및기타Information Desk054-530-0984
31경영관리본부Administrative Management Office054-530-0707
32담수생물연구본부Freshwater Bioresources Research Office054-530-0707