Overview

Dataset statistics

Number of variables3
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
Duplicate rows (%)5.6%
Total size in memory2.2 KiB
Average record size in memory25.5 B

Variable types

Categorical2
Text1

Dataset

Description식물검역 연구 하는데 사용되는 장비들의 현황을 공개해드립니다. 해당 데이터들에 대해 많은 이용 바랍니다.(식물검역연구장비현황)
Author농림축산식품부 농림축산검역본부
URLhttps://www.data.go.kr/data/15047548/fileData.do

Alerts

장비등록검역지명 has constant value ""Constant
Dataset has 5 (5.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:17:21.292857
Analysis finished2023-12-12 07:17:21.636615
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비등록검역지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
식물검역기술개발센터
89 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식물검역기술개발센터 89
100.0%

Length

2023-12-12T16:17:21.723652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:17:21.827428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식물검역기술개발센터 89
100.0%

장비명
Categorical

Distinct37
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
해부현미경
13 
유전자증폭기
9 
전기영동장치
7 
원심분리기
7 
광학현미경
5 
Other values (32)
48 

Length

Max length13
Median length10
Mean length5.8651685
Min length3

Unique

Unique21 ?
Unique (%)23.6%

Sample

1st row해부현미경
2nd row해부현미경
3rd row해부현미경
4th row저온저장고
5th row항온수조

Common Values

ValueCountFrequency (%)
해부현미경 13
 
14.6%
유전자증폭기 9
 
10.1%
전기영동장치 7
 
7.9%
원심분리기 7
 
7.9%
광학현미경 5
 
5.6%
무균상 4
 
4.5%
가스크로마토그라프악세사리 3
 
3.4%
고압멸균기 3
 
3.4%
초순수제조기 3
 
3.4%
분광광도계 2
 
2.2%
Other values (27) 33
37.1%

Length

2023-12-12T16:17:21.951565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해부현미경 13
 
14.6%
유전자증폭기 9
 
10.1%
전기영동장치 7
 
7.9%
원심분리기 7
 
7.9%
광학현미경 5
 
5.6%
무균상 4
 
4.5%
가스크로마토그라프악세사리 3
 
3.4%
고압멸균기 3
 
3.4%
초순수제조기 3
 
3.4%
가스농도측정기 2
 
2.2%
Other values (27) 33
37.1%

규격
Text

Distinct75
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-12T16:17:22.290342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length34
Mean length26.651685
Min length5

Characters and Unicode

Total characters2372
Distinct characters201
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)78.7%

Sample

1st rowLeica microsystem, DE/S8 APO
2nd rowLeica microsystem, DE/S8 APO
3rd rowCarl zeiss, DE/V20, Motorized stereo microscope
4th row엘지전자, R-B315GB, 314L
5th row항온수조, 다솔과학, DS-21L, 45L
ValueCountFrequency (%)
leica 11
 
3.8%
carl 6
 
2.1%
de/s8 5
 
1.7%
microsystem 5
 
1.7%
amersham 5
 
1.7%
biosciences 5
 
1.7%
us/he99x 5
 
1.7%
bioer 5
 
1.7%
cn/tc-s/byq6067 5
 
1.7%
apo 5
 
1.7%
Other values (205) 232
80.3%
2023-12-12T16:17:22.768669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
8.4%
e 118
 
5.0%
, 107
 
4.5%
0 97
 
4.1%
i 97
 
4.1%
r 72
 
3.0%
o 70
 
3.0%
s 70
 
3.0%
a 68
 
2.9%
c 66
 
2.8%
Other values (191) 1407
59.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 888
37.4%
Uppercase Letter 483
20.4%
Decimal Number 285
 
12.0%
Other Letter 273
 
11.5%
Space Separator 200
 
8.4%
Other Punctuation 177
 
7.5%
Dash Punctuation 48
 
2.0%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Math Symbol 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 12
 
4.4%
학 10
 
3.7%
과 10
 
3.7%
이 8
 
2.9%
자 6
 
2.2%
광 6
 
2.2%
치 5
 
1.8%
도 5
 
1.8%
미 5
 
1.8%
경 5
 
1.8%
Other values (119) 201
73.6%
Uppercase Letter
ValueCountFrequency (%)
S 53
 
11.0%
C 38
 
7.9%
D 35
 
7.2%
E 34
 
7.0%
A 33
 
6.8%
L 30
 
6.2%
M 28
 
5.8%
B 27
 
5.6%
T 26
 
5.4%
P 25
 
5.2%
Other values (16) 154
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 118
13.3%
i 97
10.9%
r 72
 
8.1%
o 70
 
7.9%
s 70
 
7.9%
a 68
 
7.7%
c 66
 
7.4%
t 52
 
5.9%
m 51
 
5.7%
l 41
 
4.6%
Other values (15) 183
20.6%
Decimal Number
ValueCountFrequency (%)
0 97
34.0%
1 41
14.4%
2 33
 
11.6%
5 22
 
7.7%
6 21
 
7.4%
9 18
 
6.3%
8 17
 
6.0%
3 12
 
4.2%
7 12
 
4.2%
4 12
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 107
60.5%
/ 60
33.9%
. 5
 
2.8%
* 4
 
2.3%
& 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
× 4
66.7%
~ 2
33.3%
Space Separator
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1371
57.8%
Common 728
30.7%
Hangul 273
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 12
 
4.4%
학 10
 
3.7%
과 10
 
3.7%
이 8
 
2.9%
자 6
 
2.2%
광 6
 
2.2%
치 5
 
1.8%
도 5
 
1.8%
미 5
 
1.8%
경 5
 
1.8%
Other values (119) 201
73.6%
Latin
ValueCountFrequency (%)
e 118
 
8.6%
i 97
 
7.1%
r 72
 
5.3%
o 70
 
5.1%
s 70
 
5.1%
a 68
 
5.0%
c 66
 
4.8%
S 53
 
3.9%
t 52
 
3.8%
m 51
 
3.7%
Other values (41) 654
47.7%
Common
ValueCountFrequency (%)
200
27.5%
, 107
14.7%
0 97
13.3%
/ 60
 
8.2%
- 48
 
6.6%
1 41
 
5.6%
2 33
 
4.5%
5 22
 
3.0%
6 21
 
2.9%
9 18
 
2.5%
Other values (11) 81
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2095
88.3%
Hangul 273
 
11.5%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
 
9.5%
e 118
 
5.6%
, 107
 
5.1%
0 97
 
4.6%
i 97
 
4.6%
r 72
 
3.4%
o 70
 
3.3%
s 70
 
3.3%
a 68
 
3.2%
c 66
 
3.2%
Other values (61) 1130
53.9%
Hangul
ValueCountFrequency (%)
기 12
 
4.4%
학 10
 
3.7%
과 10
 
3.7%
이 8
 
2.9%
자 6
 
2.2%
광 6
 
2.2%
치 5
 
1.8%
도 5
 
1.8%
미 5
 
1.8%
경 5
 
1.8%
Other values (119) 201
73.6%
None
ValueCountFrequency (%)
× 4
100.0%

Correlations

2023-12-12T16:17:22.866591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비명규격
장비명1.0001.000
규격1.0001.000

Missing values

2023-12-12T16:17:21.505899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:17:21.601609image/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

장비등록검역지명장비명규격
0식물검역기술개발센터해부현미경Leica microsystem, DE/S8 APO
1식물검역기술개발센터해부현미경Leica microsystem, DE/S8 APO
2식물검역기술개발센터해부현미경Carl zeiss, DE/V20, Motorized stereo microscope
3식물검역기술개발센터저온저장고엘지전자, R-B315GB, 314L
4식물검역기술개발센터항온수조항온수조, 다솔과학, DS-21L, 45L
5식물검역기술개발센터유전자증폭기MyGenie96ThermalBlock
6식물검역기술개발센터해부현미경Leica microsystem, DE/S8 APO
7식물검역기술개발센터해부현미경Leica Microsystems, CH/M205C, 7.8~160배
8식물검역기술개발센터겔다큐멘테이션시스템DNR BioImaging Systems, IT/MiniBIS Pro
9식물검역기술개발센터원심분리기17000rpm
장비등록검역지명장비명규격
79식물검역기술개발센터유전자증폭기Bioer, CN/TC-S/BYQ6067
80식물검역기술개발센터초순수제조기Milli-Q Direct 16
81식물검역기술개발센터엘라이자검사기Bio-Tek, US/ELx808
82식물검역기술개발센터진공고속원심분리기Beckman coulter, US/Aventi
83식물검역기술개발센터원심분리기Beckman Coulter, US/Allegra
84식물검역기술개발센터항온수조우주과학, TW-S, 추출항온수조
85식물검역기술개발센터원심분리기고속(CR 21E)
86식물검역기술개발센터초고속원심분리기초고속 HITACHI CP 100a
87식물검역기술개발센터저온저장고엘지전자, CA-H11XZ, 1094L
88식물검역기술개발센터항온항습기세종과학, SJ-505HL, 560L

Duplicate rows

Most frequently occurring

장비등록검역지명장비명규격# duplicates
2식물검역기술개발센터유전자증폭기Bioer, CN/TC-S/BYQ60675
3식물검역기술개발센터전기영동장치Amersham biosciences, US/HE99X5
4식물검역기술개발센터해부현미경Leica microsystem, DE/S8 APO5
0식물검역기술개발센터겔다큐멘테이션시스템DNR BioImaging Systems, IT/MiniBIS Pro2
1식물검역기술개발센터무균상Eriab, FR/captair biotair biocap RNA/DNA2