Overview

Dataset statistics

Number of variables8
Number of observations1028
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.4 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Text3
DateTime3
Categorical1

Dataset

Description한국환경산업기술원에서 「저탄소 녹색성장 기본법」 제32조(녹색기술 녹색사업의 표준화 및 인증 등) 에 따른 녹색기술인증 현황(인증번호, 기술명칭 등) 정보 제공
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/15043632/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:14:55.760182
Analysis finished2023-12-12 22:14:56.627757
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1028
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean514.5
Minimum1
Maximum1028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2023-12-13T07:14:56.689387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile52.35
Q1257.75
median514.5
Q3771.25
95-th percentile976.65
Maximum1028
Range1027
Interquartile range (IQR)513.5

Descriptive statistics

Standard deviation296.90234
Coefficient of variation (CV)0.57706966
Kurtosis-1.2
Mean514.5
Median Absolute Deviation (MAD)257
Skewness0
Sum528906
Variance88151
MonotonicityStrictly increasing
2023-12-13T07:14:56.796412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
645 1
 
0.1%
679 1
 
0.1%
680 1
 
0.1%
681 1
 
0.1%
682 1
 
0.1%
683 1
 
0.1%
684 1
 
0.1%
685 1
 
0.1%
686 1
 
0.1%
Other values (1018) 1018
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1028 1
0.1%
1027 1
0.1%
1026 1
0.1%
1025 1
0.1%
1024 1
0.1%
1023 1
0.1%
1022 1
0.1%
1021 1
0.1%
1020 1
0.1%
1019 1
0.1%

인증번호
Text

Distinct1023
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-13T07:14:57.034817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11308
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1018 ?
Unique (%)99.0%

Sample

1st rowGT-19-00767
2nd rowGT-19-00728
3rd rowGT-19-00746
4th rowGT-19-00737
5th rowGT-19-00692
ValueCountFrequency (%)
gt-19-00767 2
 
0.2%
gt-19-00728 2
 
0.2%
gt-19-00609 2
 
0.2%
gt-19-00746 2
 
0.2%
gt-19-00737 2
 
0.2%
gt-17-00348 1
 
0.1%
gt-17-00337 1
 
0.1%
gt-20-00966 1
 
0.1%
gt-17-00329 1
 
0.1%
gt-17-00350 1
 
0.1%
Other values (1013) 1013
98.5%
2023-12-13T07:14:57.365731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2138
18.9%
- 2056
18.2%
1 1469
13.0%
2 1137
10.1%
G 1028
9.1%
T 1028
9.1%
9 452
 
4.0%
8 402
 
3.6%
7 375
 
3.3%
3 366
 
3.2%
Other values (3) 857
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7196
63.6%
Dash Punctuation 2056
 
18.2%
Uppercase Letter 2056
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2138
29.7%
1 1469
20.4%
2 1137
15.8%
9 452
 
6.3%
8 402
 
5.6%
7 375
 
5.2%
3 366
 
5.1%
4 328
 
4.6%
6 284
 
3.9%
5 245
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
G 1028
50.0%
T 1028
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2056
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9252
81.8%
Latin 2056
 
18.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2138
23.1%
- 2056
22.2%
1 1469
15.9%
2 1137
12.3%
9 452
 
4.9%
8 402
 
4.3%
7 375
 
4.1%
3 366
 
4.0%
4 328
 
3.5%
6 284
 
3.1%
Latin
ValueCountFrequency (%)
G 1028
50.0%
T 1028
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2138
18.9%
- 2056
18.2%
1 1469
13.0%
2 1137
10.1%
G 1028
9.1%
T 1028
9.1%
9 452
 
4.0%
8 402
 
3.6%
7 375
 
3.3%
3 366
 
3.2%
Other values (3) 857
7.6%

기술명칭
Text

Distinct972
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-13T07:14:57.677482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length55
Mean length32.839494
Min length9

Characters and Unicode

Total characters33759
Distinct characters671
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)90.6%

Sample

1st row목적부 조명방식과 내부반사구조를 이용한 LED 조명식 표지판 제작기술
2nd row냉매 과냉각 및 과열증기 냉각을 위한 복합열원 이용 열펌프 성능 개선 기술
3rd row동ㆍ하절기 전환용 냉조절 기능을 갖는 냉조절기장치 제조 기술
4th row모노 이미지 변환 후 자가 진단하여 싱크신호 제어를 하는 모니터 절전기술
5th row다중 코팅 백킹부를 통한 기계적물성 및 내환경성 향상 인조잔디 제조기술
ValueCountFrequency (%)
기술 438
 
5.6%
제조기술 295
 
3.8%
이용한 230
 
2.9%
및 225
 
2.9%
제조 120
 
1.5%
적용한 83
 
1.1%
led 74
 
0.9%
활용한 60
 
0.8%
위한 46
 
0.6%
에너지 44
 
0.6%
Other values (3609) 6192
79.3%
2023-12-13T07:14:58.108810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6848
 
20.3%
기 1493
 
4.4%
술 1010
 
3.0%
용 734
 
2.2%
제 732
 
2.2%
조 699
 
2.1%
한 641
 
1.9%
이 606
 
1.8%
을 430
 
1.3%
성 349
 
1.0%
Other values (661) 20217
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25036
74.2%
Space Separator 6848
 
20.3%
Uppercase Letter 1013
 
3.0%
Lowercase Letter 438
 
1.3%
Close Punctuation 98
 
0.3%
Open Punctuation 98
 
0.3%
Other Punctuation 96
 
0.3%
Decimal Number 95
 
0.3%
Dash Punctuation 31
 
0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1493
 
6.0%
술 1010
 
4.0%
용 734
 
2.9%
제 732
 
2.9%
조 699
 
2.8%
한 641
 
2.6%
이 606
 
2.4%
을 430
 
1.7%
성 349
 
1.4%
수 334
 
1.3%
Other values (588) 18008
71.9%
Uppercase Letter
ValueCountFrequency (%)
E 166
16.4%
D 153
15.1%
L 138
13.6%
P 93
9.2%
C 69
 
6.8%
S 46
 
4.5%
I 40
 
3.9%
O 37
 
3.7%
T 34
 
3.4%
M 28
 
2.8%
Other values (15) 209
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 59
13.5%
o 42
9.6%
a 42
9.6%
r 36
 
8.2%
i 34
 
7.8%
n 29
 
6.6%
l 28
 
6.4%
t 27
 
6.2%
c 20
 
4.6%
m 19
 
4.3%
Other values (15) 102
23.3%
Decimal Number
ValueCountFrequency (%)
2 27
28.4%
3 27
28.4%
0 10
 
10.5%
1 9
 
9.5%
4 5
 
5.3%
7 5
 
5.3%
9 4
 
4.2%
6 4
 
4.2%
5 4
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 48
50.0%
/ 19
 
19.8%
· 15
 
15.6%
. 9
 
9.4%
% 3
 
3.1%
: 2
 
2.1%
Other Symbol
ValueCountFrequency (%)
℃ 1
50.0%
㎸ 1
50.0%
Space Separator
ValueCountFrequency (%)
6848
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25034
74.2%
Common 7272
 
21.5%
Latin 1451
 
4.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1493
 
6.0%
술 1010
 
4.0%
용 734
 
2.9%
제 732
 
2.9%
조 699
 
2.8%
한 641
 
2.6%
이 606
 
2.4%
을 430
 
1.7%
성 349
 
1.4%
수 334
 
1.3%
Other values (586) 18006
71.9%
Latin
ValueCountFrequency (%)
E 166
 
11.4%
D 153
 
10.5%
L 138
 
9.5%
P 93
 
6.4%
C 69
 
4.8%
e 59
 
4.1%
S 46
 
3.2%
o 42
 
2.9%
a 42
 
2.9%
I 40
 
2.8%
Other values (40) 603
41.6%
Common
ValueCountFrequency (%)
6848
94.2%
) 98
 
1.3%
( 98
 
1.3%
, 48
 
0.7%
- 31
 
0.4%
2 27
 
0.4%
3 27
 
0.4%
/ 19
 
0.3%
· 15
 
0.2%
0 10
 
0.1%
Other values (13) 51
 
0.7%
Han
ValueCountFrequency (%)
羽 1
50.0%
毛 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25032
74.1%
ASCII 8705
 
25.8%
None 16
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6848
78.7%
E 166
 
1.9%
D 153
 
1.8%
L 138
 
1.6%
) 98
 
1.1%
( 98
 
1.1%
P 93
 
1.1%
C 69
 
0.8%
e 59
 
0.7%
, 48
 
0.6%
Other values (59) 935
 
10.7%
Hangul
ValueCountFrequency (%)
기 1493
 
6.0%
술 1010
 
4.0%
용 734
 
2.9%
제 732
 
2.9%
조 699
 
2.8%
한 641
 
2.6%
이 606
 
2.4%
을 430
 
1.7%
성 349
 
1.4%
수 334
 
1.3%
Other values (585) 18004
71.9%
None
ValueCountFrequency (%)
· 15
93.8%
₂ 1
 
6.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎸ 1
100.0%
CJK
ValueCountFrequency (%)
羽 1
50.0%
毛 1
50.0%

분류코드
Date

Distinct146
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2001-01-03 00:00:00
Maximum2011-01-02 00:00:00
2023-12-13T07:14:58.222774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:14:58.330162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기관명
Text

Distinct869
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-13T07:14:58.550427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.0535019
Min length2

Characters and Unicode

Total characters8279
Distinct characters392
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique755 ?
Unique (%)73.4%

Sample

1st row(주)세한이노테크
2nd row(주)유천써모텍
3rd row(주)케이에스피
4th row(주)엠텍정보
5th row코니터프(주)
ValueCountFrequency (%)
주식회사 181
 
14.5%
주 17
 
1.4%
삼성전자(주 10
 
0.8%
주)다나와컴퓨터 4
 
0.3%
주)바이오소재 4
 
0.3%
주)아트캠 4
 
0.3%
주)씨엠디기술단 4
 
0.3%
주)매그나텍 4
 
0.3%
대열보일러 4
 
0.3%
유한회사 3
 
0.2%
Other values (873) 1009
81.1%
2023-12-13T07:14:58.895872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 930
 
11.2%
( 700
 
8.5%
) 700
 
8.5%
이 272
 
3.3%
사 250
 
3.0%
회 238
 
2.9%
스 230
 
2.8%
223
 
2.7%
식 222
 
2.7%
에 163
 
2.0%
Other values (382) 4351
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6628
80.1%
Open Punctuation 700
 
8.5%
Close Punctuation 700
 
8.5%
Space Separator 223
 
2.7%
Uppercase Letter 10
 
0.1%
Other Punctuation 7
 
0.1%
Decimal Number 7
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 930
 
14.0%
이 272
 
4.1%
사 250
 
3.8%
회 238
 
3.6%
스 230
 
3.5%
식 222
 
3.3%
에 163
 
2.5%
지 112
 
1.7%
크 93
 
1.4%
업 92
 
1.4%
Other values (366) 4026
60.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
S 3
30.0%
T 2
20.0%
I 1
 
10.0%
A 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
5 1
 
14.3%
8 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 700
100.0%
Close Punctuation
ValueCountFrequency (%)
) 700
100.0%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6629
80.1%
Common 1640
 
19.8%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 930
 
14.0%
이 272
 
4.1%
사 250
 
3.8%
회 238
 
3.6%
스 230
 
3.5%
식 222
 
3.3%
에 163
 
2.5%
지 112
 
1.7%
크 93
 
1.4%
업 92
 
1.4%
Other values (367) 4027
60.7%
Common
ValueCountFrequency (%)
( 700
42.7%
) 700
42.7%
223
 
13.6%
. 6
 
0.4%
- 3
 
0.2%
1 3
 
0.2%
2 2
 
0.1%
5 1
 
0.1%
8 1
 
0.1%
& 1
 
0.1%
Latin
ValueCountFrequency (%)
B 3
30.0%
S 3
30.0%
T 2
20.0%
I 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6628
80.1%
ASCII 1650
 
19.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 930
 
14.0%
이 272
 
4.1%
사 250
 
3.8%
회 238
 
3.6%
스 230
 
3.5%
식 222
 
3.3%
에 163
 
2.5%
지 112
 
1.7%
크 93
 
1.4%
업 92
 
1.4%
Other values (366) 4026
60.7%
ASCII
ValueCountFrequency (%)
( 700
42.4%
) 700
42.4%
223
 
13.5%
. 6
 
0.4%
- 3
 
0.2%
B 3
 
0.2%
S 3
 
0.2%
1 3
 
0.2%
T 2
 
0.1%
2 2
 
0.1%
Other values (5) 5
 
0.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

발급부처
Categorical

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
중소벤처기업부
414 
환경부
342 
산업통상자원부
64 
농림축산식품부
64 
과학기술정보통신부
64 
Other values (3)
80 

Length

Max length9
Median length7
Mean length5.6400778
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row중소벤처기업부
2nd row산업통상자원부
3rd row중소벤처기업부
4th row중소벤처기업부
5th row중소벤처기업부

Common Values

ValueCountFrequency (%)
중소벤처기업부 414
40.3%
환경부 342
33.3%
산업통상자원부 64
 
6.2%
농림축산식품부 64
 
6.2%
과학기술정보통신부 64
 
6.2%
국토교통부 60
 
5.8%
해양수산부 19
 
1.8%
문화체육관광부 1
 
0.1%

Length

2023-12-13T07:14:59.011282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:14:59.103312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소벤처기업부 414
40.3%
환경부 342
33.3%
산업통상자원부 64
 
6.2%
농림축산식품부 64
 
6.2%
과학기술정보통신부 64
 
6.2%
국토교통부 60
 
5.8%
해양수산부 19
 
1.8%
문화체육관광부 1
 
0.1%

인증확정일
Date

Distinct65
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2016-08-11 00:00:00
Maximum2022-06-23 00:00:00
2023-12-13T07:14:59.209448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:14:59.325785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증만료일
Date

Distinct69
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2022-08-10 00:00:00
Maximum2025-10-16 00:00:00
2023-12-13T07:14:59.455683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:14:59.585231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T07:14:56.380162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:14:59.667480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발급부처인증확정일인증만료일
순번1.0000.0510.9980.998
발급부처0.0511.0000.3240.317
인증확정일0.9980.3241.0001.000
인증만료일0.9980.3171.0001.000
2023-12-13T07:14:59.753332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발급부처
순번1.0000.024
발급부처0.0241.000

Missing values

2023-12-13T07:14:56.478406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:14:56.584501image/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

순번인증번호기술명칭분류코드기관명발급부처인증확정일인증만료일
01GT-19-00767목적부 조명방식과 내부반사구조를 이용한 LED 조명식 표지판 제작기술T080203(주)세한이노테크중소벤처기업부2019-10-172025-10-16
12GT-19-00728냉매 과냉각 및 과열증기 냉각을 위한 복합열원 이용 열펌프 성능 개선 기술T010801(주)유천써모텍산업통상자원부2019-09-052025-09-04
23GT-19-00746동ㆍ하절기 전환용 냉조절 기능을 갖는 냉조절기장치 제조 기술T080203(주)케이에스피중소벤처기업부2019-09-052025-09-04
34GT-19-00737모노 이미지 변환 후 자가 진단하여 싱크신호 제어를 하는 모니터 절전기술T040501(주)엠텍정보중소벤처기업부2019-09-052025-09-04
45GT-19-00692다중 코팅 백킹부를 통한 기계적물성 및 내환경성 향상 인조잔디 제조기술T100503코니터프(주)중소벤처기업부2019-07-182025-07-17
56GT-19-00717봉형 방열구조물을 이용한 실외 LED조명기구 제조기술T020703(주)퓨쳐라이팅중소벤처기업부2019-07-182025-07-17
67GT-19-00700전응집 기반 응집제어시스템을 이용한 총인처리기술T030801(주)한화건설환경부2019-07-182025-07-17
78GT-19-00690구조용 유리섬유와 탄소섬유를 적층하여 제작된 난연 보강섬유 패널 및 시트에 난연성 접착제를 부착한 콘크리트 구조물 보강기술T100503한국내진시스템(주)중소벤처기업부2019-07-182025-07-17
89GT-19-00694폐 EPDM 고무분말 충전재와 폴리우레아를 이용한 고탄성 바닥재 제조 기술T100503주식회사 신창우레탄중소벤처기업부2019-07-182025-07-17
910GT-19-00704탄화섬유 강화 폴리우레탄 강관내면 도장기술T030901현대특수강(주)환경부2019-07-182025-07-17
순번인증번호기술명칭분류코드기관명발급부처인증확정일인증만료일
10181019GT-19-00737모노 이미지 변환 후 자가 진단하여 싱크신호 제어를 하는 모니터 절전기술T040501(주)엠텍정보중소벤처기업부2019-09-052022-09-04
10191020GT-19-00743재활용 인공경량토양을 사용한 일체형 유닛 시스템 인공지반 경량녹화기술T100603대건케미칼(주)국토교통부2019-09-052022-09-04
10201021GT-19-00740재활용 인공경량토양을 사용한 일체형 유닛 시스템 인공지반 경량녹화기술T100603(주)한국도시녹화국토교통부2019-09-052022-09-04
10211022GT-19-00742탄소 소재 PCB를 이용한 LED 실외 등기구 제조기술T020703에이펙스인텍(주)환경부2019-09-052022-09-04
10221023GT-19-00746동ㆍ하절기 전환용 냉조절 기능을 갖는 냉조절기장치 제조 기술T080203(주)케이에스피중소벤처기업부2019-09-052022-09-04
10231024GT-19-00747폐니켈-카드뮴 전지스크랩으로 부터 99.9% 이상 니켈 분리기술T080301(주)지엠텍산업통상자원부2019-09-052022-09-04
10241025GT-16-00103일산화탄소와 올레핀을 이용한 친환경 고분자 신소재 폴리케톤 제조 기술T071101효성화학(주)산업통상자원부2016-08-112022-08-17
10251026GT-16-00106고정 기밀대 형성으로 단열성과 기밀성이 개선된 미서기창호 조립기술T100503(유)원진알미늄환경부2016-08-112022-08-10
10261027GT-16-00109모니터 화면분석을 통한 전력제어 절전 기술T040501(주)에이텍환경부2016-08-112022-08-10
10271028GT-16-00101상하수도용 무기물(경질탄산칼슘, 맥반석 등) 강화 PVC 파이프 제조기술T030901신우산업(주)환경부2016-08-112022-08-10