Overview

Dataset statistics

Number of variables3
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)5.9%
Total size in memory2.5 KiB
Average record size in memory25.3 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 6 (5.9%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 07:17:23.650293
Analysis finished2023-12-12 07:17:23.993788
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비등록검역지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
식물검역기술개발센터
101 

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 101
100.0%

Length

2023-12-12T16:17:24.096611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:17:24.202838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식물검역기술개발센터 101
100.0%

장비명
Categorical

Distinct35
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size940.0 B
해부현미경
17 
유전자증폭기
12 
원심분리기
9 
전기영동장치
8 
가스크로마토그라프
 
4
Other values (30)
51 

Length

Max length10
Median length9
Mean length5.6633663
Min length3

Unique

Unique16 ?
Unique (%)15.8%

Sample

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

Common Values

ValueCountFrequency (%)
해부현미경 17
16.8%
유전자증폭기 12
 
11.9%
원심분리기 9
 
8.9%
전기영동장치 8
 
7.9%
가스크로마토그라프 4
 
4.0%
무균상 4
 
4.0%
광학현미경 4
 
4.0%
분광광도계 3
 
3.0%
고압멸균기 3
 
3.0%
액체크로마토그라프 3
 
3.0%
Other values (25) 34
33.7%

Length

2023-12-12T16:17:24.625442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해부현미경 17
16.8%
유전자증폭기 12
 
11.9%
원심분리기 9
 
8.9%
전기영동장치 8
 
7.9%
가스크로마토그라프 4
 
4.0%
무균상 4
 
4.0%
광학현미경 4
 
4.0%
분광광도계 3
 
3.0%
고압멸균기 3
 
3.0%
액체크로마토그라프 3
 
3.0%
Other values (25) 34
33.7%

규격
Text

Distinct88
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T16:17:24.885116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length44
Mean length31.138614
Min length5

Characters and Unicode

Total characters3145
Distinct characters196
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

Unique82 ?
Unique (%)81.2%

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 12
 
3.1%
carl 6
 
1.6%
agilent 5
 
1.3%
de/s8 5
 
1.3%
apo 5
 
1.3%
zeiss 5
 
1.3%
microsystem 5
 
1.3%
amersham 4
 
1.0%
biosciences 4
 
1.0%
us/he99x 4
 
1.0%
Other values (276) 329
85.7%
2023-12-12T16:17:25.403111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
 
9.0%
e 161
 
5.1%
0 151
 
4.8%
i 136
 
4.3%
, 134
 
4.3%
r 103
 
3.3%
o 93
 
3.0%
a 89
 
2.8%
s 83
 
2.6%
m 80
 
2.5%
Other values (186) 1831
58.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1233
39.2%
Uppercase Letter 595
18.9%
Decimal Number 434
 
13.8%
Space Separator 284
 
9.0%
Other Letter 278
 
8.8%
Other Punctuation 233
 
7.4%
Dash Punctuation 55
 
1.7%
Math Symbol 15
 
0.5%
Open Punctuation 9
 
0.3%
Close Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 12
 
4.3%
기 12
 
4.3%
과 9
 
3.2%
자 7
 
2.5%
학 7
 
2.5%
도 7
 
2.5%
경 6
 
2.2%
미 6
 
2.2%
계 5
 
1.8%
산 5
 
1.8%
Other values (113) 202
72.7%
Uppercase Letter
ValueCountFrequency (%)
S 67
 
11.3%
A 49
 
8.2%
C 47
 
7.9%
E 44
 
7.4%
D 39
 
6.6%
P 39
 
6.6%
L 38
 
6.4%
B 33
 
5.5%
T 33
 
5.5%
M 30
 
5.0%
Other values (16) 176
29.6%
Lowercase Letter
ValueCountFrequency (%)
e 161
13.1%
i 136
11.0%
r 103
 
8.4%
o 93
 
7.5%
a 89
 
7.2%
s 83
 
6.7%
m 80
 
6.5%
c 75
 
6.1%
t 72
 
5.8%
n 64
 
5.2%
Other values (15) 277
22.5%
Decimal Number
ValueCountFrequency (%)
0 151
34.8%
1 60
 
13.8%
5 45
 
10.4%
2 44
 
10.1%
8 26
 
6.0%
4 25
 
5.8%
9 24
 
5.5%
6 23
 
5.3%
7 19
 
4.4%
3 17
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 134
57.5%
/ 69
29.6%
. 15
 
6.4%
* 10
 
4.3%
: 4
 
1.7%
% 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 9
60.0%
× 6
40.0%
Space Separator
ValueCountFrequency (%)
284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1828
58.1%
Common 1039
33.0%
Hangul 278
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 12
 
4.3%
기 12
 
4.3%
과 9
 
3.2%
자 7
 
2.5%
학 7
 
2.5%
도 7
 
2.5%
경 6
 
2.2%
미 6
 
2.2%
계 5
 
1.8%
산 5
 
1.8%
Other values (113) 202
72.7%
Latin
ValueCountFrequency (%)
e 161
 
8.8%
i 136
 
7.4%
r 103
 
5.6%
o 93
 
5.1%
a 89
 
4.9%
s 83
 
4.5%
m 80
 
4.4%
c 75
 
4.1%
t 72
 
3.9%
S 67
 
3.7%
Other values (41) 869
47.5%
Common
ValueCountFrequency (%)
284
27.3%
0 151
14.5%
, 134
12.9%
/ 69
 
6.6%
1 60
 
5.8%
- 55
 
5.3%
5 45
 
4.3%
2 44
 
4.2%
8 26
 
2.5%
4 25
 
2.4%
Other values (12) 146
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2861
91.0%
Hangul 278
 
8.8%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
 
9.9%
e 161
 
5.6%
0 151
 
5.3%
i 136
 
4.8%
, 134
 
4.7%
r 103
 
3.6%
o 93
 
3.3%
a 89
 
3.1%
s 83
 
2.9%
m 80
 
2.8%
Other values (62) 1547
54.1%
Hangul
ValueCountFrequency (%)
이 12
 
4.3%
기 12
 
4.3%
과 9
 
3.2%
자 7
 
2.5%
학 7
 
2.5%
도 7
 
2.5%
경 6
 
2.2%
미 6
 
2.2%
계 5
 
1.8%
산 5
 
1.8%
Other values (113) 202
72.7%
None
ValueCountFrequency (%)
× 6
100.0%

Correlations

2023-12-12T16:17:25.528269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비명규격
장비명1.0001.000
규격1.0001.000

Missing values

2023-12-12T16:17:23.860693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:17:23.950913image/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
9식물검역기술개발센터해부현미경줌범위 0.7×4.5
장비등록검역지명장비명규격
91식물검역기술개발센터가스크로마토그라프Agilent 7890B gas chromatography
92식물검역기술개발센터유전자증폭기Q PCR SYSTEM, LAPTOP EACH - A28569 QS 5 (0.2ml)
93식물검역기술개발센터유전자증폭기CF96 Touch Real-Time PCR Detection System with PC
94식물검역기술개발센터가스크로마토그라프portable z-nose (4200)
95식물검역기술개발센터흄후드이에이치엠, E011200, 1200*800*2350mm
96식물검역기술개발센터건조기ThermostableON-W155, 용량: 155리터, 온도: 5~230도
97식물검역기술개발센터해부현미경Leica S9D, 55X, Zoom rate 9:1, magnification 6.1~55X
98식물검역기술개발센터전기영동장치Agilent, 5300 Fragment Analyzer Automated CE System, US/Femto Pilse
99식물검역기술개발센터액체크로마토그라프Shimadzu, JP/LC-20A Prominence Series
100식물검역기술개발센터가스크로마토그라프Agilent 8890 (ECD with EPC, FPD with EPC, DB-sulfur SCD)

Duplicate rows

Most frequently occurring

장비등록검역지명장비명규격# duplicates
5식물검역기술개발센터해부현미경Leica microsystem, DE/S8 APO5
3식물검역기술개발센터유전자증폭기Bioer, CN/TC-S/BYQ60674
4식물검역기술개발센터전기영동장치Amersham biosciences, US/HE99X4
0식물검역기술개발센터겔다큐멘테이션시스템DNR BioImaging Systems, IT/MiniBIS Pro2
1식물검역기술개발센터무균상Eriab, FR/captair biotair biocap RNA/DNA2
2식물검역기술개발센터원심분리기Eppendorf, DE/Minispin 5452, 13400rpm2