Overview

Dataset statistics

Number of variables3
Number of observations180
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory25.7 B

Variable types

Text2
Categorical1

Dataset

Description한국세라믹기술원이 보유한 연구장비 목록(NTIS 기준, 3천만원 이상)입니다. 장비명(한글, 영문), 보유 대수를 확인할 수 있습니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15029955/fileData.do

Alerts

보유대수 has constant value ""Constant

Reproduction

Analysis started2023-12-12 11:19:35.624037
Analysis finished2023-12-12 11:19:36.211576
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

한글장비명
Text

Distinct178
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T20:19:36.627877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length23
Mean length11.583333
Min length2

Characters and Unicode

Total characters2085
Distinct characters308
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)97.8%

Sample

1st row배치형 대면적 스퍼터링 시스템
2nd row배치 형식의 LPG 전기환원로
3rd row200홀 현무암섬유 방사기
4th rowHigh resolution X-ray Diffractometer(X-선 회절분석기)
5th row주사전자현미경
ValueCountFrequency (%)
시스템 20
 
4.6%
측정기 9
 
2.1%
및 6
 
1.4%
전자빔 5
 
1.2%
스프레이 4
 
0.9%
소성로 3
 
0.7%
분석기 3
 
0.7%
마이크로웨이브 3
 
0.7%
고온 3
 
0.7%
장치 3
 
0.7%
Other values (333) 374
86.4%
2023-12-12T20:19:37.460035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
253
 
12.1%
기 79
 
3.8%
스 53
 
2.5%
정 40
 
1.9%
시 40
 
1.9%
장 39
 
1.9%
분 34
 
1.6%
측 32
 
1.5%
전 31
 
1.5%
로 31
 
1.5%
Other values (298) 1453
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1654
79.3%
Space Separator 253
 
12.1%
Uppercase Letter 64
 
3.1%
Lowercase Letter 61
 
2.9%
Decimal Number 25
 
1.2%
Dash Punctuation 11
 
0.5%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 79
 
4.8%
스 53
 
3.2%
정 40
 
2.4%
시 40
 
2.4%
장 39
 
2.4%
분 34
 
2.1%
측 32
 
1.9%
전 31
 
1.9%
로 31
 
1.9%
성 30
 
1.8%
Other values (248) 1245
75.3%
Uppercase Letter
ValueCountFrequency (%)
X 6
 
9.4%
E 6
 
9.4%
C 6
 
9.4%
D 5
 
7.8%
M 5
 
7.8%
S 5
 
7.8%
P 4
 
6.2%
L 4
 
6.2%
I 4
 
6.2%
H 3
 
4.7%
Other values (10) 16
25.0%
Lowercase Letter
ValueCountFrequency (%)
t 9
14.8%
e 8
13.1%
o 6
9.8%
l 6
9.8%
i 5
8.2%
r 5
8.2%
s 3
 
4.9%
h 3
 
4.9%
u 3
 
4.9%
a 3
 
4.9%
Other values (7) 10
16.4%
Decimal Number
ValueCountFrequency (%)
0 8
32.0%
3 6
24.0%
2 5
20.0%
1 3
 
12.0%
4 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1654
79.3%
Common 306
 
14.7%
Latin 125
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 79
 
4.8%
스 53
 
3.2%
정 40
 
2.4%
시 40
 
2.4%
장 39
 
2.4%
분 34
 
2.1%
측 32
 
1.9%
전 31
 
1.9%
로 31
 
1.9%
성 30
 
1.8%
Other values (248) 1245
75.3%
Latin
ValueCountFrequency (%)
t 9
 
7.2%
e 8
 
6.4%
o 6
 
4.8%
l 6
 
4.8%
X 6
 
4.8%
E 6
 
4.8%
C 6
 
4.8%
D 5
 
4.0%
i 5
 
4.0%
M 5
 
4.0%
Other values (27) 63
50.4%
Common
ValueCountFrequency (%)
253
82.7%
- 11
 
3.6%
0 8
 
2.6%
3 6
 
2.0%
( 6
 
2.0%
) 6
 
2.0%
2 5
 
1.6%
/ 3
 
1.0%
1 3
 
1.0%
. 2
 
0.7%
Other values (3) 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1654
79.3%
ASCII 431
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
253
58.7%
- 11
 
2.6%
t 9
 
2.1%
e 8
 
1.9%
0 8
 
1.9%
o 6
 
1.4%
l 6
 
1.4%
X 6
 
1.4%
3 6
 
1.4%
( 6
 
1.4%
Other values (40) 112
26.0%
Hangul
ValueCountFrequency (%)
기 79
 
4.8%
스 53
 
3.2%
정 40
 
2.4%
시 40
 
2.4%
장 39
 
2.4%
분 34
 
2.1%
측 32
 
1.9%
전 31
 
1.9%
로 31
 
1.9%
성 30
 
1.8%
Other values (248) 1245
75.3%

영문장비명
Text

Distinct175
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T20:19:38.043116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length46
Mean length27.661111
Min length3

Characters and Unicode

Total characters4979
Distinct characters65
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)95.0%

Sample

1st rowBatch Type Sputter System
2nd rowBatch type LPG reduction electric furnace
3rd row200hole Basalt Fiber Spinning M/C System
4th rowHigh resolution X-ray Diffractometer
5th rowField Emission Scanning Electron Microscope-Energy Dispersive Spectrometer
ValueCountFrequency (%)
system 52
 
8.0%
high 19
 
2.9%
furnace 14
 
2.2%
temperature 9
 
1.4%
for 9
 
1.4%
measurement 8
 
1.2%
analyzer 8
 
1.2%
plasma 6
 
0.9%
6
 
0.9%
machine 6
 
0.9%
Other values (344) 510
78.8%
2023-12-12T20:19:39.007029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 500
 
10.0%
468
 
9.4%
t 341
 
6.8%
r 331
 
6.6%
a 313
 
6.3%
i 301
 
6.0%
n 279
 
5.6%
s 247
 
5.0%
o 225
 
4.5%
c 184
 
3.7%
Other values (55) 1790
36.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3778
75.9%
Uppercase Letter 667
 
13.4%
Space Separator 468
 
9.4%
Dash Punctuation 24
 
0.5%
Other Punctuation 18
 
0.4%
Decimal Number 18
 
0.4%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 500
13.2%
t 341
 
9.0%
r 331
 
8.8%
a 313
 
8.3%
i 301
 
8.0%
n 279
 
7.4%
s 247
 
6.5%
o 225
 
6.0%
c 184
 
4.9%
m 177
 
4.7%
Other values (16) 880
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 83
12.4%
M 55
 
8.2%
T 54
 
8.1%
C 52
 
7.8%
P 47
 
7.0%
D 43
 
6.4%
E 42
 
6.3%
A 38
 
5.7%
R 38
 
5.7%
H 33
 
4.9%
Other values (15) 182
27.3%
Decimal Number
ValueCountFrequency (%)
3 6
33.3%
0 4
22.2%
2 3
16.7%
5 2
 
11.1%
1 1
 
5.6%
4 1
 
5.6%
6 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/ 12
66.7%
. 4
 
22.2%
& 2
 
11.1%
Space Separator
ValueCountFrequency (%)
468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4445
89.3%
Common 534
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 500
 
11.2%
t 341
 
7.7%
r 331
 
7.4%
a 313
 
7.0%
i 301
 
6.8%
n 279
 
6.3%
s 247
 
5.6%
o 225
 
5.1%
c 184
 
4.1%
m 177
 
4.0%
Other values (41) 1547
34.8%
Common
ValueCountFrequency (%)
468
87.6%
- 24
 
4.5%
/ 12
 
2.2%
3 6
 
1.1%
0 4
 
0.7%
. 4
 
0.7%
( 3
 
0.6%
) 3
 
0.6%
2 3
 
0.6%
& 2
 
0.4%
Other values (4) 5
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 500
 
10.0%
468
 
9.4%
t 341
 
6.8%
r 331
 
6.6%
a 313
 
6.3%
i 301
 
6.0%
n 279
 
5.6%
s 247
 
5.0%
o 225
 
4.5%
c 184
 
3.7%
Other values (55) 1790
36.0%

보유대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
180 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 180
100.0%

Length

2023-12-12T20:19:39.246482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:19:39.442757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 180
100.0%

Missing values

2023-12-12T20:19:36.014613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:19:36.161937image/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

한글장비명영문장비명보유대수
0배치형 대면적 스퍼터링 시스템Batch Type Sputter System1
1배치 형식의 LPG 전기환원로Batch type LPG reduction electric furnace1
2200홀 현무암섬유 방사기200hole Basalt Fiber Spinning M/C System1
3High resolution X-ray Diffractometer(X-선 회절분석기)High resolution X-ray Diffractometer1
4주사전자현미경Field Emission Scanning Electron Microscope-Energy Dispersive Spectrometer1
5기공용스캐너Dental scanner1
6유도결합플라즈마 질량분석기Inductively coupled plasma mass spectrometry1
7마블로Marble Furnace1
8수직형 PCS섬유 연속 열처리장비Vertical PCS fiber continuous heattreatment system1
9분말형 3차원 형상제작기Powder type 3D Printer1
한글장비명영문장비명보유대수
170열분석 시스템TGA/DSC System1
171미니 스프레이 건조기Mini spray drier1
172열중량분석기Thermogravimetric Analysis1
173연속식 석회석 공급 및 가열분해용 자동화 시스템control system1
174태양전지 전하수명측정기microwave PCD1
175고주파 측정 시스템RF Tank outlet module1
176DNA 광학특성 분석기DNA spectrometer1
177그린시트성형체 제조시스템Green Sheet Process System1
178용해로Melting Furnace1
179고온열전물성측정장치Thermoelectric Properties Measurement System1