Overview

Dataset statistics

Number of variables5
Number of observations229
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory41.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description연구장비 활용을 지원하고 기술애로를 겪은 기업을 지원하기 위해 구축된 고가의 기술개발(R&D) 장비를 보유한 전국의 연구기관, 대학, 기업지원기관의 목록입니다.
URLhttps://www.data.go.kr/data/15104054/fileData.do

Alerts

NO has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:25:47.848177
Analysis finished2023-12-12 07:25:48.539545
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T16:25:48.659669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.4
Q158
median115
Q3172
95-th percentile217.6
Maximum229
Range228
Interquartile range (IQR)114

Descriptive statistics

Standard deviation66.250786
Coefficient of variation (CV)0.57609379
Kurtosis-1.2
Mean115
Median Absolute Deviation (MAD)57
Skewness0
Sum26335
Variance4389.1667
MonotonicityStrictly increasing
2023-12-12T16:25:48.844252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
145 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
Other values (219) 219
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
Distinct125
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T16:25:49.163293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length10.515284
Min length5

Characters and Unicode

Total characters2408
Distinct characters168
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)37.6%

Sample

1st row대구기계부품연구원
2nd row(재)철원플라즈마산업기술연구원
3rd row한국전자기술연구원
4th row한국생산기술연구원
5th row경북대학교 산학협력단
ValueCountFrequency (%)
한국생산기술연구원 27
 
10.2%
한국자동차연구원 16
 
6.0%
산학협력단 14
 
5.3%
재단법인 7
 
2.6%
재)경북테크노파크 6
 
2.3%
한국전자기술연구원 6
 
2.3%
한국광기술원 5
 
1.9%
구미전자정보기술원 4
 
1.5%
재)경남테크노파크 4
 
1.5%
한국화학연구원 4
 
1.5%
Other values (121) 173
65.0%
2023-12-12T16:25:49.589918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
6.5%
126
 
5.2%
114
 
4.7%
111
 
4.6%
110
 
4.6%
95
 
3.9%
89
 
3.7%
88
 
3.7%
75
 
3.1%
69
 
2.9%
Other values (158) 1375
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2221
92.2%
Open Punctuation 61
 
2.5%
Close Punctuation 61
 
2.5%
Space Separator 40
 
1.7%
Uppercase Letter 25
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
156
 
7.0%
126
 
5.7%
114
 
5.1%
111
 
5.0%
110
 
5.0%
95
 
4.3%
89
 
4.0%
88
 
4.0%
75
 
3.4%
69
 
3.1%
Other values (148) 1188
53.5%
Uppercase Letter
ValueCountFrequency (%)
I 6
24.0%
T 6
24.0%
E 4
16.0%
C 3
12.0%
F 2
 
8.0%
D 2
 
8.0%
Y 2
 
8.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2221
92.2%
Common 162
 
6.7%
Latin 25
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
156
 
7.0%
126
 
5.7%
114
 
5.1%
111
 
5.0%
110
 
5.0%
95
 
4.3%
89
 
4.0%
88
 
4.0%
75
 
3.4%
69
 
3.1%
Other values (148) 1188
53.5%
Latin
ValueCountFrequency (%)
I 6
24.0%
T 6
24.0%
E 4
16.0%
C 3
12.0%
F 2
 
8.0%
D 2
 
8.0%
Y 2
 
8.0%
Common
ValueCountFrequency (%)
( 61
37.7%
) 61
37.7%
40
24.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2221
92.2%
ASCII 187
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
156
 
7.0%
126
 
5.7%
114
 
5.1%
111
 
5.0%
110
 
5.0%
95
 
4.3%
89
 
4.0%
88
 
4.0%
75
 
3.4%
69
 
3.1%
Other values (148) 1188
53.5%
ASCII
ValueCountFrequency (%)
( 61
32.6%
) 61
32.6%
40
21.4%
I 6
 
3.2%
T 6
 
3.2%
E 4
 
2.1%
C 3
 
1.6%
F 2
 
1.1%
D 2
 
1.1%
Y 2
 
1.1%
Distinct225
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T16:25:49.882697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length11.606987
Min length5

Characters and Unicode

Total characters2658
Distinct characters281
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

Unique222 ?
Unique (%)96.9%

Sample

1st row(재)대구기계부품연구원
2nd row(재)철원플라즈마산업기술연구원
3rd row3D가상기술산업지원센터
4th row3D스캐너 기술지원센터
5th row3D융합기술지원센터
ValueCountFrequency (%)
한국자동차연구원 7
 
2.1%
센터 6
 
1.8%
3d융합상용화지원센터 3
 
0.9%
3d프린팅 3
 
0.9%
기술지원센터 3
 
0.9%
바이오 2
 
0.6%
시험인증센터 2
 
0.6%
친환경선박 2
 
0.6%
조선해양센터 2
 
0.6%
한국조선해양기자재연구원 2
 
0.6%
Other values (292) 300
90.4%
2023-12-12T16:25:50.343729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
7.9%
209
 
7.9%
105
 
4.0%
98
 
3.7%
86
 
3.2%
70
 
2.6%
69
 
2.6%
63
 
2.4%
63
 
2.4%
46
 
1.7%
Other values (271) 1639
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2463
92.7%
Space Separator 105
 
4.0%
Uppercase Letter 53
 
2.0%
Decimal Number 11
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Other Punctuation 5
 
0.2%
Lowercase Letter 5
 
0.2%
Connector Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
210
 
8.5%
209
 
8.5%
98
 
4.0%
86
 
3.5%
70
 
2.8%
69
 
2.8%
63
 
2.6%
63
 
2.6%
46
 
1.9%
41
 
1.7%
Other values (243) 1508
61.2%
Uppercase Letter
ValueCountFrequency (%)
D 12
22.6%
C 10
18.9%
I 6
11.3%
R 4
 
7.5%
E 4
 
7.5%
A 3
 
5.7%
T 3
 
5.7%
V 2
 
3.8%
O 2
 
3.8%
L 2
 
3.8%
Other values (4) 5
9.4%
Lowercase Letter
ValueCountFrequency (%)
t 1
20.0%
u 1
20.0%
o 1
20.0%
y 1
20.0%
r 1
20.0%
Decimal Number
ValueCountFrequency (%)
3 9
81.8%
2 2
 
18.2%
Other Punctuation
ValueCountFrequency (%)
· 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2463
92.7%
Common 137
 
5.2%
Latin 58
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
210
 
8.5%
209
 
8.5%
98
 
4.0%
86
 
3.5%
70
 
2.8%
69
 
2.8%
63
 
2.6%
63
 
2.6%
46
 
1.9%
41
 
1.7%
Other values (243) 1508
61.2%
Latin
ValueCountFrequency (%)
D 12
20.7%
C 10
17.2%
I 6
10.3%
R 4
 
6.9%
E 4
 
6.9%
A 3
 
5.2%
T 3
 
5.2%
V 2
 
3.4%
O 2
 
3.4%
L 2
 
3.4%
Other values (9) 10
17.2%
Common
ValueCountFrequency (%)
105
76.6%
3 9
 
6.6%
) 7
 
5.1%
( 7
 
5.1%
· 3
 
2.2%
& 2
 
1.5%
2 2
 
1.5%
_ 1
 
0.7%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2463
92.7%
ASCII 192
 
7.2%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
210
 
8.5%
209
 
8.5%
98
 
4.0%
86
 
3.5%
70
 
2.8%
69
 
2.8%
63
 
2.6%
63
 
2.6%
46
 
1.9%
41
 
1.7%
Other values (243) 1508
61.2%
ASCII
ValueCountFrequency (%)
105
54.7%
D 12
 
6.2%
C 10
 
5.2%
3 9
 
4.7%
) 7
 
3.6%
( 7
 
3.6%
I 6
 
3.1%
R 4
 
2.1%
E 4
 
2.1%
A 3
 
1.6%
Other values (17) 25
 
13.0%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct196
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T16:25:50.704645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length46
Mean length33.283843
Min length13

Characters and Unicode

Total characters7622
Distinct characters317
Distinct categories8 ?
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 (%)76.9%

Sample

1st row대구광역시 달서구 성서공단로11길 32 (호림동)
2nd row강원특별자치도 철원군 갈말읍 호국로 4620
3rd row경기도 하남시 검단산로 239 (창우동, 하남시벤처집적시설)
4th row울산광역시 남구 테크노산업로29번길 40 (두왕동) 105호
5th row대구광역시 동구 동내로 70 (동내동, 첨단정보통신융합산업기술원)
ValueCountFrequency (%)
경상북도 31
 
2.2%
대구광역시 26
 
1.8%
북구 26
 
1.8%
광주광역시 24
 
1.7%
경기도 18
 
1.3%
부산광역시 18
 
1.3%
경상남도 17
 
1.2%
울산광역시 16
 
1.1%
전라남도 16
 
1.1%
강서구 14
 
1.0%
Other values (725) 1222
85.6%
2023-12-12T16:25:51.186869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1200
 
15.7%
228
 
3.0%
222
 
2.9%
) 216
 
2.8%
( 216
 
2.8%
202
 
2.7%
198
 
2.6%
198
 
2.6%
1 157
 
2.1%
138
 
1.8%
Other values (307) 4647
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4991
65.5%
Space Separator 1200
 
15.7%
Decimal Number 814
 
10.7%
Close Punctuation 216
 
2.8%
Open Punctuation 216
 
2.8%
Other Punctuation 126
 
1.7%
Dash Punctuation 36
 
0.5%
Uppercase Letter 23
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
228
 
4.6%
222
 
4.4%
202
 
4.0%
198
 
4.0%
198
 
4.0%
138
 
2.8%
137
 
2.7%
116
 
2.3%
100
 
2.0%
98
 
2.0%
Other values (276) 3354
67.2%
Uppercase Letter
ValueCountFrequency (%)
R 4
17.4%
I 3
13.0%
T 3
13.0%
K 2
8.7%
B 2
8.7%
E 2
8.7%
W 1
 
4.3%
V 1
 
4.3%
S 1
 
4.3%
D 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 157
19.3%
2 119
14.6%
0 85
10.4%
3 84
10.3%
5 77
9.5%
7 73
9.0%
4 69
8.5%
6 55
 
6.8%
8 49
 
6.0%
9 46
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 122
96.8%
. 2
 
1.6%
& 1
 
0.8%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4991
65.5%
Common 2608
34.2%
Latin 23
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
228
 
4.6%
222
 
4.4%
202
 
4.0%
198
 
4.0%
198
 
4.0%
138
 
2.8%
137
 
2.7%
116
 
2.3%
100
 
2.0%
98
 
2.0%
Other values (276) 3354
67.2%
Common
ValueCountFrequency (%)
1200
46.0%
) 216
 
8.3%
( 216
 
8.3%
1 157
 
6.0%
, 122
 
4.7%
2 119
 
4.6%
0 85
 
3.3%
3 84
 
3.2%
5 77
 
3.0%
7 73
 
2.8%
Other values (8) 259
 
9.9%
Latin
ValueCountFrequency (%)
R 4
17.4%
I 3
13.0%
T 3
13.0%
K 2
8.7%
B 2
8.7%
E 2
8.7%
W 1
 
4.3%
V 1
 
4.3%
S 1
 
4.3%
D 1
 
4.3%
Other values (3) 3
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4991
65.5%
ASCII 2631
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1200
45.6%
) 216
 
8.2%
( 216
 
8.2%
1 157
 
6.0%
, 122
 
4.6%
2 119
 
4.5%
0 85
 
3.2%
3 84
 
3.2%
5 77
 
2.9%
7 73
 
2.8%
Other values (21) 282
 
10.7%
Hangul
ValueCountFrequency (%)
228
 
4.6%
222
 
4.4%
202
 
4.0%
198
 
4.0%
198
 
4.0%
138
 
2.8%
137
 
2.7%
116
 
2.3%
100
 
2.0%
98
 
2.0%
Other values (276) 3354
67.2%

분류
Categorical

Distinct50
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
자동차운송
39 
바이오
34 
소재
32 
전기전자
25 
조선해양
21 
Other values (45)
78 

Length

Max length22
Median length20
Mean length5.7336245
Min length2

Unique

Unique33 ?
Unique (%)14.4%

Sample

1st row기계로봇
2nd row소재,기계로봇,전기전자
3rd row전기전자,기계로봇
4th row기계로봇,전기전자
5th row바이오,자동차운송,전기전자

Common Values

ValueCountFrequency (%)
자동차운송 39
17.0%
바이오 34
14.8%
소재 32
14.0%
전기전자 25
10.9%
조선해양 21
9.2%
기계로봇 15
 
6.6%
바이오,소재 5
 
2.2%
자동차운송,전기전자 4
 
1.7%
소재,기계로봇 3
 
1.3%
기계로봇,전기전자 3
 
1.3%
Other values (40) 48
21.0%

Length

2023-12-12T16:25:51.377010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차운송 39
17.0%
바이오 34
14.8%
소재 32
14.0%
전기전자 25
10.9%
조선해양 21
9.2%
기계로봇 15
 
6.6%
바이오,소재 5
 
2.2%
자동차운송,전기전자 4
 
1.7%
소재,기계로봇 3
 
1.3%
기계로봇,전기전자 3
 
1.3%
Other values (40) 48
21.0%

Interactions

2023-12-12T16:25:48.280205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:25:51.482095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO분류
NO1.0000.303
분류0.3031.000
2023-12-12T16:25:51.572028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO분류
NO1.0000.077
분류0.0771.000

Missing values

2023-12-12T16:25:48.390507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:25:48.498904image/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

NO기관명센터명센터주소분류
01대구기계부품연구원(재)대구기계부품연구원대구광역시 달서구 성서공단로11길 32 (호림동)기계로봇
12(재)철원플라즈마산업기술연구원(재)철원플라즈마산업기술연구원강원특별자치도 철원군 갈말읍 호국로 4620소재,기계로봇,전기전자
23한국전자기술연구원3D가상기술산업지원센터경기도 하남시 검단산로 239 (창우동, 하남시벤처집적시설)전기전자,기계로봇
34한국생산기술연구원3D스캐너 기술지원센터울산광역시 남구 테크노산업로29번길 40 (두왕동) 105호기계로봇,전기전자
45경북대학교 산학협력단3D융합기술지원센터대구광역시 동구 동내로 70 (동내동, 첨단정보통신융합산업기술원)바이오,자동차운송,전기전자
56한국전자통신연구원3D융합상용화지원센터광주광역시 북구 추암로 249 (월출동, 테크노파크)디자인
67한국전자기술연구원3D융합상용화지원센터광주광역시 북구 추암로 249 (월출동, 테크노파크)전기전자
78(재)광주테크노파크3D융합상용화지원센터광주광역시 북구 추암로 249 (월출동, 테크노파크)바이오
89(재)울산테크노파크3D프린팅 소재 상용화 품질평가센터울산광역시 중구 종가로 15 (다운동, 울산테크노파크)소재
910울산과학기술원3D프린팅 첨단 생산기술 연구센터울산광역시 남구 테크노산업로55번길 10 (두왕동)기계로봇
NO기관명센터명센터주소분류
219220한국생산기술연구원해양로봇센터부산광역시 기장군 일광면 일광로 474 (동백리, 수산과학연구소)조선해양,기계로봇
220221목포대학교 산학협력단해양케이블시험연구센터전라남도 영암군 삼호읍 대불주거3로 77 (용앙리, 목포대학교해양케이블시험연구센터)조선해양
221222부산대학교 산학협력단(선박해양플랜트기술연구원)해양플랜트 종합시험연구원경상남도 하동군 금성면 내도청도길 126-2 (가덕리)조선해양,전기전자
222223한국생산기술연구원해양플랜트기자재R&D센터부산광역시 강서구 미음산단5로41번길 16 (미음동, 해양플랜트기자재R&D센터)조선해양
223224대구경북과학기술원핵심단백질자원센터대구광역시 달성군 현풍읍 테크노중앙대로 333 (상리) 대구경북과학기술원 나노바이오연구동(R2) 2층바이오
224225동국대학교혁신신약라이브러리연구센터서울특별시 중구 필동로1길 30 (필동3가, 동국대학교)소재,기계로봇
225226(재)전북테크노파크호남권 3D프린팅 제조혁신지원센터전라북도 익산시 동서로 370 (영등동)자동차운송,전기전자,디자인,기계로봇
226227한국화학연구원화학소재솔루션센터대전광역시 유성구 가정로 141 (장동, 한국화학연구원)소재
227228(재)울산테크노파크화학신소재기술센터울산광역시 중구 종가로 15 (다운동, 울산테크노파크)소재
228229한국생산기술연구원희소금속산업기술센터인천광역시 연수구 갯벌로 12 (송도동, 시험생산동)소재