Overview

Dataset statistics

Number of variables11
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory91.4 B

Variable types

Numeric1
Categorical7
Text3

Dataset

Description한국가스기술공사의 기술이전 정보를 개(출원명칭, 계약일자, 계약상대자, 연구과제명, 기간 등 )방하여 중소기업 및 기술 수요자 등 민간 비즈니스 창출의 기회를 제공하고자 함
URLhttps://www.data.go.kr/data/15020767/fileData.do

Alerts

등록출원일자 is highly overall correlated with 등록출원번호 and 3 other fieldsHigh correlation
등록출원번호 is highly overall correlated with 등록출원일자 and 3 other fieldsHigh correlation
계약 상대자 is highly overall correlated with 등록출원일자 and 3 other fieldsHigh correlation
계약일자 is highly overall correlated with 등록출원일자 and 3 other fieldsHigh correlation
출원명칭 is highly overall correlated with 등록출원일자 and 3 other fieldsHigh correlation
순번 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 순번High correlation
등록출원일자 is highly imbalanced (80.7%)Imbalance
등록출원번호 is highly imbalanced (80.7%)Imbalance
출원명칭 is highly imbalanced (80.7%)Imbalance
계약일자 is highly imbalanced (80.7%)Imbalance
계약 상대자 is highly imbalanced (77.9%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:40:35.316922
Analysis finished2023-12-12 15:40:36.226097
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-13T00:40:36.283259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-13T00:40:36.405326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

등록출원일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
해당없음
53 
2016-01-27
 
1
2015-07-16
 
1
2016-07-07
 
1

Length

Max length10
Median length4
Mean length4.3214286
Min length4

Unique

Unique3 ?
Unique (%)5.4%

Sample

1st row2016-01-27
2nd row2015-07-16
3rd row2016-07-07
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 53
94.6%
2016-01-27 1
 
1.8%
2015-07-16 1
 
1.8%
2016-07-07 1
 
1.8%

Length

2023-12-13T00:40:36.536552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:36.646100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 53
94.6%
2016-01-27 1
 
1.8%
2015-07-16 1
 
1.8%
2016-07-07 1
 
1.8%

등록출원번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
해당없음
53 
제20-0479499호
 
1
10-2015-0101041
 
1
제20-0480850
 
1

Length

Max length15
Median length4
Mean length4.4642857
Min length4

Unique

Unique3 ?
Unique (%)5.4%

Sample

1st row제20-0479499호
2nd row10-2015-0101041
3rd row제20-0480850
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 53
94.6%
제20-0479499호 1
 
1.8%
10-2015-0101041 1
 
1.8%
제20-0480850 1
 
1.8%

Length

2023-12-13T00:40:36.747567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:36.860783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 53
94.6%
제20-0479499호 1
 
1.8%
10-2015-0101041 1
 
1.8%
제20-0480850 1
 
1.8%

출원명칭
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
해당없음
53 
축전지의 개별셀 단자전압 검출장치
 
1
펌프용 모터의 전력 입입장치
 
1
수동식천공기
 
1

Length

Max length18
Median length4
Mean length4.4821429
Min length4

Unique

Unique3 ?
Unique (%)5.4%

Sample

1st row축전지의 개별셀 단자전압 검출장치
2nd row펌프용 모터의 전력 입입장치
3rd row수동식천공기
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 53
94.6%
축전지의 개별셀 단자전압 검출장치 1
 
1.8%
펌프용 모터의 전력 입입장치 1
 
1.8%
수동식천공기 1
 
1.8%

Length

2023-12-13T00:40:36.978920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:37.087157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 53
85.5%
축전지의 1
 
1.6%
개별셀 1
 
1.6%
단자전압 1
 
1.6%
검출장치 1
 
1.6%
펌프용 1
 
1.6%
모터의 1
 
1.6%
전력 1
 
1.6%
입입장치 1
 
1.6%
수동식천공기 1
 
1.6%

계약일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
해당없음
53 
2016-06-01
 
1
2016-09-07
 
1
2019-07-02
 
1

Length

Max length10
Median length4
Mean length4.3214286
Min length4

Unique

Unique3 ?
Unique (%)5.4%

Sample

1st row2016-06-01
2nd row2016-09-07
3rd row2019-07-02
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 53
94.6%
2016-06-01 1
 
1.8%
2016-09-07 1
 
1.8%
2019-07-02 1
 
1.8%

Length

2023-12-13T00:40:37.200456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:37.313577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 53
94.6%
2016-06-01 1
 
1.8%
2016-09-07 1
 
1.8%
2019-07-02 1
 
1.8%

계약 상대자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
해당없음
53 
보광산업
 
2
주연정공
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row보광산업
2nd row보광산업
3rd row주연정공
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 53
94.6%
보광산업 2
 
3.6%
주연정공 1
 
1.8%

Length

2023-12-13T00:40:37.421129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:37.524036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 53
94.6%
보광산업 2
 
3.6%
주연정공 1
 
1.8%

연구과제명
Text

Distinct54
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:40:37.821525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length33
Mean length24.875
Min length4

Characters and Unicode

Total characters1393
Distinct characters241
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)94.6%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row극한지 자원이송망 기반구조물 설계 및 평가기술 개발
5th row6인치 천연가스 정압설비 국산화 기술지원 및 현장실증 연구
ValueCountFrequency (%)
개발 25
 
7.7%
및 16
 
4.9%
기술개발 10
 
3.1%
엘엔지 7
 
2.2%
국산화 6
 
1.9%
위한 5
 
1.5%
수소 5
 
1.5%
연구 5
 
1.5%
시스템 4
 
1.2%
인프라 4
 
1.2%
Other values (193) 237
73.1%
2023-12-13T00:40:38.277192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
19.3%
소 41
 
2.9%
개 41
 
2.9%
기 40
 
2.9%
발 40
 
2.9%
수 37
 
2.7%
전 29
 
2.1%
지 29
 
2.1%
스 24
 
1.7%
화 20
 
1.4%
Other values (231) 823
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1054
75.7%
Space Separator 269
 
19.3%
Decimal Number 35
 
2.5%
Uppercase Letter 16
 
1.1%
Lowercase Letter 9
 
0.6%
Other Punctuation 8
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 41
 
3.9%
개 41
 
3.9%
기 40
 
3.8%
발 40
 
3.8%
수 37
 
3.5%
전 29
 
2.8%
지 29
 
2.8%
스 24
 
2.3%
화 20
 
1.9%
가 16
 
1.5%
Other values (204) 737
69.9%
Uppercase Letter
ValueCountFrequency (%)
M 5
31.2%
P 4
25.0%
C 2
 
12.5%
W 1
 
6.2%
E 1
 
6.2%
R 1
 
6.2%
K 1
 
6.2%
U 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 17
48.6%
1 6
 
17.1%
2 4
 
11.4%
7 3
 
8.6%
5 3
 
8.6%
3 1
 
2.9%
6 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 5
55.6%
m 1
 
11.1%
g 1
 
11.1%
y 1
 
11.1%
d 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
/ 2
25.0%
. 1
 
12.5%
· 1
 
12.5%
Space Separator
ValueCountFrequency (%)
269
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1054
75.7%
Common 314
 
22.5%
Latin 25
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 41
 
3.9%
개 41
 
3.9%
기 40
 
3.8%
발 40
 
3.8%
수 37
 
3.5%
전 29
 
2.8%
지 29
 
2.8%
스 24
 
2.3%
화 20
 
1.9%
가 16
 
1.5%
Other values (204) 737
69.9%
Common
ValueCountFrequency (%)
269
85.7%
0 17
 
5.4%
1 6
 
1.9%
2 4
 
1.3%
, 4
 
1.3%
7 3
 
1.0%
5 3
 
1.0%
/ 2
 
0.6%
3 1
 
0.3%
6 1
 
0.3%
Other values (4) 4
 
1.3%
Latin
ValueCountFrequency (%)
a 5
20.0%
M 5
20.0%
P 4
16.0%
C 2
 
8.0%
m 1
 
4.0%
W 1
 
4.0%
E 1
 
4.0%
R 1
 
4.0%
g 1
 
4.0%
y 1
 
4.0%
Other values (3) 3
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1054
75.7%
ASCII 338
 
24.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
79.6%
0 17
 
5.0%
1 6
 
1.8%
a 5
 
1.5%
M 5
 
1.5%
2 4
 
1.2%
P 4
 
1.2%
, 4
 
1.2%
7 3
 
0.9%
5 3
 
0.9%
Other values (16) 18
 
5.3%
Hangul
ValueCountFrequency (%)
소 41
 
3.9%
개 41
 
3.9%
기 40
 
3.8%
발 40
 
3.8%
수 37
 
3.5%
전 29
 
2.8%
지 29
 
2.8%
스 24
 
2.3%
화 20
 
1.9%
가 16
 
1.5%
Other values (204) 737
69.9%
None
ValueCountFrequency (%)
· 1
100.0%

사업시작
Text

Distinct32
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:40:38.563182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.6785714
Min length4

Characters and Unicode

Total characters542
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)33.9%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row2013-01-01
5th row2013-08-01
ValueCountFrequency (%)
2022-04-01 6
 
10.7%
2020-05-01 6
 
10.7%
해당없음 3
 
5.4%
2021-05-01 3
 
5.4%
2021-04-01 3
 
5.4%
2020-06-01 2
 
3.6%
2017-12-01 2
 
3.6%
2021-09-01 2
 
3.6%
2021-11-01 2
 
3.6%
2013-08-01 2
 
3.6%
Other values (22) 25
44.6%
2023-12-13T00:40:38.904205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
28.6%
1 108
19.9%
- 106
19.6%
2 102
18.8%
4 17
 
3.1%
5 13
 
2.4%
3 7
 
1.3%
6 7
 
1.3%
7 7
 
1.3%
9 5
 
0.9%
Other values (5) 15
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 424
78.2%
Dash Punctuation 106
 
19.6%
Other Letter 12
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
36.6%
1 108
25.5%
2 102
24.1%
4 17
 
4.0%
5 13
 
3.1%
3 7
 
1.7%
6 7
 
1.7%
7 7
 
1.7%
9 5
 
1.2%
8 3
 
0.7%
Other Letter
ValueCountFrequency (%)
해 3
25.0%
당 3
25.0%
없 3
25.0%
음 3
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
97.8%
Hangul 12
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
29.2%
1 108
20.4%
- 106
20.0%
2 102
19.2%
4 17
 
3.2%
5 13
 
2.5%
3 7
 
1.3%
6 7
 
1.3%
7 7
 
1.3%
9 5
 
0.9%
Hangul
ValueCountFrequency (%)
해 3
25.0%
당 3
25.0%
없 3
25.0%
음 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
97.8%
Hangul 12
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
29.2%
1 108
20.4%
- 106
20.0%
2 102
19.2%
4 17
 
3.2%
5 13
 
2.5%
3 7
 
1.3%
6 7
 
1.3%
7 7
 
1.3%
9 5
 
0.9%
Hangul
ValueCountFrequency (%)
해 3
25.0%
당 3
25.0%
없 3
25.0%
음 3
25.0%

사업종료
Text

Distinct34
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-13T00:40:39.127166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.6785714
Min length4

Characters and Unicode

Total characters542
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)39.3%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row2019-01-01
5th row2017-07-01
ValueCountFrequency (%)
2023-12-31 4
 
7.1%
2025-12-31 4
 
7.1%
2020-12-01 4
 
7.1%
해당없음 3
 
5.4%
2025-03-31 3
 
5.4%
2016-12-01 3
 
5.4%
2020-10-01 3
 
5.4%
2021-12-01 2
 
3.6%
2022-10-31 2
 
3.6%
2026-12-31 2
 
3.6%
Other values (24) 26
46.4%
2023-12-13T00:40:39.547441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 125
23.1%
2 119
22.0%
- 106
19.6%
1 105
19.4%
3 31
 
5.7%
5 12
 
2.2%
4 11
 
2.0%
6 8
 
1.5%
7 7
 
1.3%
9 5
 
0.9%
Other values (5) 13
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 424
78.2%
Dash Punctuation 106
 
19.6%
Other Letter 12
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
29.5%
2 119
28.1%
1 105
24.8%
3 31
 
7.3%
5 12
 
2.8%
4 11
 
2.6%
6 8
 
1.9%
7 7
 
1.7%
9 5
 
1.2%
8 1
 
0.2%
Other Letter
ValueCountFrequency (%)
해 3
25.0%
당 3
25.0%
없 3
25.0%
음 3
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
97.8%
Hangul 12
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125
23.6%
2 119
22.5%
- 106
20.0%
1 105
19.8%
3 31
 
5.8%
5 12
 
2.3%
4 11
 
2.1%
6 8
 
1.5%
7 7
 
1.3%
9 5
 
0.9%
Hangul
ValueCountFrequency (%)
해 3
25.0%
당 3
25.0%
없 3
25.0%
음 3
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
97.8%
Hangul 12
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125
23.6%
2 119
22.5%
- 106
20.0%
1 105
19.8%
3 31
 
5.8%
5 12
 
2.3%
4 11
 
2.1%
6 8
 
1.5%
7 7
 
1.3%
9 5
 
0.9%
Hangul
ValueCountFrequency (%)
해 3
25.0%
당 3
25.0%
없 3
25.0%
음 3
25.0%

연구책임자
Categorical

Distinct27
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
나희승
9 
서정수
5 
조원정
4 
해당없음
 
3
김보배
 
3
Other values (22)
32 

Length

Max length4
Median length3
Mean length3.0535714
Min length3

Unique

Unique15 ?
Unique (%)26.8%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row김학은
5th row최형기

Common Values

ValueCountFrequency (%)
나희승 9
16.1%
서정수 5
 
8.9%
조원정 4
 
7.1%
해당없음 3
 
5.4%
김보배 3
 
5.4%
김학은 3
 
5.4%
한종일 3
 
5.4%
김용기 3
 
5.4%
김준영 2
 
3.6%
최충현 2
 
3.6%
Other values (17) 19
33.9%

Length

2023-12-13T00:40:39.755635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
나희승 9
16.1%
서정수 5
 
8.9%
조원정 4
 
7.1%
해당없음 3
 
5.4%
김보배 3
 
5.4%
김학은 3
 
5.4%
한종일 3
 
5.4%
김용기 3
 
5.4%
나광호 2
 
3.6%
신상봉 2
 
3.6%
Other values (17) 19
33.9%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
과제종료
28 
없음
26 
비공개
 
2

Length

Max length4
Median length3.5
Mean length3.0357143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row없음
2nd row없음
3rd row없음
4th row과제종료
5th row과제종료

Common Values

ValueCountFrequency (%)
과제종료 28
50.0%
없음 26
46.4%
비공개 2
 
3.6%

Length

2023-12-13T00:40:39.980529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:40:40.118333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과제종료 28
50.0%
없음 26
46.4%
비공개 2
 
3.6%

Interactions

2023-12-13T00:40:35.950261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:40:40.225370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록출원일자등록출원번호출원명칭계약일자계약 상대자연구과제명사업시작사업종료연구책임자비고
순번1.0000.0000.0000.0000.0000.4451.0000.9670.8580.7500.691
등록출원일자0.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.000
등록출원번호0.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.000
출원명칭0.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.000
계약일자0.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.000
계약 상대자0.4451.0001.0001.0001.0001.0000.0000.0000.0000.4850.000
연구과제명1.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.000
사업시작0.9670.0000.0000.0000.0000.0001.0001.0000.9580.8780.831
사업종료0.8580.0000.0000.0000.0000.0001.0000.9581.0000.8440.659
연구책임자0.7500.0000.0000.0000.0000.4851.0000.8780.8441.0000.295
비고0.6910.0000.0000.0000.0000.0001.0000.8310.6590.2951.000
2023-12-13T00:40:40.404439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록출원일자연구책임자등록출원번호계약 상대자비고계약일자출원명칭
등록출원일자1.0000.0001.0000.9910.0001.0001.000
연구책임자0.0001.0000.0000.1680.0500.0000.000
등록출원번호1.0000.0001.0000.9910.0001.0001.000
계약 상대자0.9910.1680.9911.0000.0000.9910.991
비고0.0000.0500.0000.0001.0000.0000.000
계약일자1.0000.0001.0000.9910.0001.0001.000
출원명칭1.0000.0001.0000.9910.0001.0001.000
2023-12-13T00:40:40.572132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록출원일자등록출원번호출원명칭계약일자계약 상대자연구책임자비고
순번1.0000.0000.0000.0000.0000.2740.2770.527
등록출원일자0.0001.0001.0001.0001.0000.9910.0000.000
등록출원번호0.0001.0001.0001.0001.0000.9910.0000.000
출원명칭0.0001.0001.0001.0001.0000.9910.0000.000
계약일자0.0001.0001.0001.0001.0000.9910.0000.000
계약 상대자0.2740.9910.9910.9910.9911.0000.1680.000
연구책임자0.2770.0000.0000.0000.0000.1681.0000.050
비고0.5270.0000.0000.0000.0000.0000.0501.000

Missing values

2023-12-13T00:40:36.044716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:40:36.177532image/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

순번등록출원일자등록출원번호출원명칭계약일자계약 상대자연구과제명사업시작사업종료연구책임자비고
012016-01-27제20-0479499호축전지의 개별셀 단자전압 검출장치2016-06-01보광산업해당없음해당없음해당없음해당없음없음
122015-07-1610-2015-0101041펌프용 모터의 전력 입입장치2016-09-07보광산업해당없음해당없음해당없음해당없음없음
232016-07-07제20-0480850수동식천공기2019-07-02주연정공해당없음해당없음해당없음해당없음없음
34해당없음해당없음해당없음해당없음해당없음극한지 자원이송망 기반구조물 설계 및 평가기술 개발2013-01-012019-01-01김학은과제종료
45해당없음해당없음해당없음해당없음해당없음6인치 천연가스 정압설비 국산화 기술지원 및 현장실증 연구2013-08-012017-07-01최형기과제종료
56해당없음해당없음해당없음해당없음해당없음천연가스 디젤 혼소 분산형 발전시스템을 위한 엘엔지공급시스템 개발2013-08-012019-09-01김학은과제종료
67해당없음해당없음해당없음해당없음해당없음바이오가스 고품질화 및 씨오투 회수 이용 기술 개발2013-12-012019-05-01김학은과제종료
78해당없음해당없음해당없음해당없음해당없음가스치환 및 기밀시험용 분리막방식의 이동식 질소공급 모듈개발2014-01-012016-12-01정선모과제종료
89해당없음해당없음해당없음해당없음해당없음해상부유식 엘엔지 벙커링 시스템 기술개발2014-07-012020-05-01김준영과제종료
910해당없음해당없음해당없음해당없음해당없음고압 엘엔지 2차 펌프용 멀티플레인플레킹 프로그램 및 장비 개발2014-11-012017-12-01김용기과제종료
순번등록출원일자등록출원번호출원명칭계약일자계약 상대자연구과제명사업시작사업종료연구책임자비고
4647해당없음해당없음해당없음해당없음해당없음해외 그린수소의 수입을 위한 이동가능 표준화형 75,000m3급 액체수소 수출터미널과 액체수소 수입터미널의 기본설계2021-12-012024-11-30한종일없음
4748해당없음해당없음해당없음해당없음해당없음액화수소충전소 구축 연계 안전성 평가/실증 및 안전기준 개발2022-04-012025-03-31서정수없음
4849해당없음해당없음해당없음해당없음해당없음RE100 기반의 수소 시범단지 인프라 기술개발2022-04-012025-12-31한종일없음
4950해당없음해당없음해당없음해당없음해당없음12.5MW급 재생에너지 연계 대규모 그린수소 실증 기술개발2022-04-012026-12-31서정수없음
5051해당없음해당없음해당없음해당없음해당없음소충전소 설계 및 운전 안전성 검증 사전 진단프로그램 개발2022-04-012025-12-31한종일없음
5152해당없음해당없음해당없음해당없음해당없음차세대 고압(1,000기압) 수소 압축기 개발2022-04-012025-03-31나희승없음
5253해당없음해당없음해당없음해당없음해당없음도심내 잉여전력을 이용한 도심형 수소모빌리티 확산 인프라 모델 개발 및 검증2022-04-012025-12-31조원정없음
5354해당없음해당없음해당없음해당없음해당없음레이저 방식 휴대형 메탄·에탄검지기 국산화 개발2022-07-012024-06-30김보배없음
5455해당없음해당없음해당없음해당없음해당없음이산화탄소 자원화를 위한 CCU 기술개발2023-04-012025-03-31김보배없음
5556해당없음해당없음해당없음해당없음해당없음수소도시용 수소배관망 국산화 및 실증기술 개발2023-04-012026-12-31서정수없음