Overview

Dataset statistics

Number of variables9
Number of observations1119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.9 KiB
Average record size in memory73.1 B

Variable types

Numeric1
Text4
DateTime3
Categorical1

Dataset

Description녹색인증 4가지 종류 중 녹색기술인증에 해당하는 데이터로 인증받은 녹색기술 중 기준일 현재 유효한 목록들이며 순번, 분류콛, 기술명칭, 신청기관, 발급부처, 인증번호, 인증확정일, 인증만료일로 이루어져 있습니다.
URLhttps://www.data.go.kr/data/15054156/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:50:05.763440
Analysis finished2023-12-11 23:50:06.776123
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean560
Minimum1
Maximum1119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2023-12-12T08:50:06.843858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile56.9
Q1280.5
median560
Q3839.5
95-th percentile1063.1
Maximum1119
Range1118
Interquartile range (IQR)559

Descriptive statistics

Standard deviation323.17178
Coefficient of variation (CV)0.57709247
Kurtosis-1.2
Mean560
Median Absolute Deviation (MAD)280
Skewness0
Sum626640
Variance104440
MonotonicityStrictly increasing
2023-12-12T08:50:06.950593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
745 1
 
0.1%
751 1
 
0.1%
750 1
 
0.1%
749 1
 
0.1%
748 1
 
0.1%
747 1
 
0.1%
746 1
 
0.1%
744 1
 
0.1%
753 1
 
0.1%
Other values (1109) 1109
99.1%
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 (%)
1119 1
0.1%
1118 1
0.1%
1117 1
0.1%
1116 1
0.1%
1115 1
0.1%
1114 1
0.1%
1113 1
0.1%
1112 1
0.1%
1111 1
0.1%
1110 1
0.1%
Distinct1116
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:50:07.392822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters12309
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

Unique1113 ?
Unique (%)99.5%

Sample

1st rowGT-17-00291
2nd rowGT-17-00301
3rd rowGT-17-00302
4th rowGT-17-00303
5th rowGT-17-00304
ValueCountFrequency (%)
gt-19-00609 2
 
0.2%
gt-20-00943 2
 
0.2%
gt-20-00944 2
 
0.2%
gt-23-01718 1
 
0.1%
gt-22-01346 1
 
0.1%
gt-22-01352 1
 
0.1%
gt-22-01351 1
 
0.1%
gt-22-01350 1
 
0.1%
gt-22-01370 1
 
0.1%
gt-22-01349 1
 
0.1%
Other values (1106) 1106
98.8%
2023-12-12T08:50:07.726642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2238
18.2%
0 2000
16.2%
1 1601
13.0%
2 1442
11.7%
G 1119
9.1%
T 1119
9.1%
3 503
 
4.1%
9 429
 
3.5%
4 387
 
3.1%
5 377
 
3.1%
Other values (3) 1094
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7833
63.6%
Dash Punctuation 2238
 
18.2%
Uppercase Letter 2238
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2000
25.5%
1 1601
20.4%
2 1442
18.4%
3 503
 
6.4%
9 429
 
5.5%
4 387
 
4.9%
5 377
 
4.8%
6 372
 
4.7%
8 369
 
4.7%
7 353
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
G 1119
50.0%
T 1119
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10071
81.8%
Latin 2238
 
18.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2238
22.2%
0 2000
19.9%
1 1601
15.9%
2 1442
14.3%
3 503
 
5.0%
9 429
 
4.3%
4 387
 
3.8%
5 377
 
3.7%
6 372
 
3.7%
8 369
 
3.7%
Latin
ValueCountFrequency (%)
G 1119
50.0%
T 1119
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2238
18.2%
0 2000
16.2%
1 1601
13.0%
2 1442
11.7%
G 1119
9.1%
T 1119
9.1%
3 503
 
4.1%
9 429
 
3.5%
4 387
 
3.1%
5 377
 
3.1%
Other values (3) 1094
8.9%
Distinct1068
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:50:07.970932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length55
Mean length32.772118
Min length9

Characters and Unicode

Total characters36672
Distinct characters680
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

Unique1034 ?
Unique (%)92.4%

Sample

1st row프레임스토퍼를 적용하여 기밀성능을 향상시킨 창호 제조기술
2nd row재활용 발포 폴리스티렌을 이용한 복합창호 기술(프로젝트/커튼월창)
3rd row밀폐 및 우수 유도기능을 가진 창호 제조기술
4th row점등 ON/OFF 스위치형 디밍시스템을 갖춘 LED 조명기술
5th row부분부하 운전 최적화와 콤팩트화 기술을 적용한 가스히트펌프 고효율화 기술
ValueCountFrequency (%)
기술 488
 
5.7%
제조기술 331
 
3.9%
248
 
2.9%
이용한 240
 
2.8%
제조 140
 
1.6%
적용한 85
 
1.0%
활용한 75
 
0.9%
led 71
 
0.8%
위한 50
 
0.6%
에너지 47
 
0.6%
Other values (3842) 6762
79.2%
2023-12-12T08:50:08.371700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7491
 
20.4%
1587
 
4.3%
1097
 
3.0%
786
 
2.1%
784
 
2.1%
753
 
2.1%
697
 
1.9%
647
 
1.8%
466
 
1.3%
397
 
1.1%
Other values (670) 21967
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27227
74.2%
Space Separator 7491
 
20.4%
Uppercase Letter 1025
 
2.8%
Lowercase Letter 516
 
1.4%
Close Punctuation 96
 
0.3%
Open Punctuation 96
 
0.3%
Decimal Number 91
 
0.2%
Other Punctuation 88
 
0.2%
Dash Punctuation 35
 
0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1587
 
5.8%
1097
 
4.0%
786
 
2.9%
784
 
2.9%
753
 
2.8%
697
 
2.6%
647
 
2.4%
466
 
1.7%
397
 
1.5%
365
 
1.3%
Other values (594) 19648
72.2%
Uppercase Letter
ValueCountFrequency (%)
E 154
15.0%
D 145
14.1%
L 126
12.3%
P 103
10.0%
C 72
 
7.0%
S 48
 
4.7%
I 44
 
4.3%
T 39
 
3.8%
F 33
 
3.2%
O 32
 
3.1%
Other values (16) 229
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 67
13.0%
o 53
10.3%
a 49
 
9.5%
r 41
 
7.9%
l 37
 
7.2%
n 35
 
6.8%
i 33
 
6.4%
t 30
 
5.8%
m 23
 
4.5%
s 22
 
4.3%
Other values (15) 126
24.4%
Decimal Number
ValueCountFrequency (%)
3 27
29.7%
2 20
22.0%
0 11
12.1%
1 8
 
8.8%
4 7
 
7.7%
6 7
 
7.7%
5 6
 
6.6%
7 4
 
4.4%
9 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 44
50.0%
/ 18
20.5%
· 14
 
15.9%
. 7
 
8.0%
: 2
 
2.3%
? 2
 
2.3%
& 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
+ 2
50.0%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
7491
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27225
74.2%
Common 7904
 
21.6%
Latin 1541
 
4.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1587
 
5.8%
1097
 
4.0%
786
 
2.9%
784
 
2.9%
753
 
2.8%
697
 
2.6%
647
 
2.4%
466
 
1.7%
397
 
1.5%
365
 
1.3%
Other values (592) 19646
72.2%
Latin
ValueCountFrequency (%)
E 154
 
10.0%
D 145
 
9.4%
L 126
 
8.2%
P 103
 
6.7%
C 72
 
4.7%
e 67
 
4.3%
o 53
 
3.4%
a 49
 
3.2%
S 48
 
3.1%
I 44
 
2.9%
Other values (41) 680
44.1%
Common
ValueCountFrequency (%)
7491
94.8%
) 96
 
1.2%
( 96
 
1.2%
, 44
 
0.6%
- 35
 
0.4%
3 27
 
0.3%
2 20
 
0.3%
/ 18
 
0.2%
· 14
 
0.2%
0 11
 
0.1%
Other values (15) 52
 
0.7%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27222
74.2%
ASCII 9428
 
25.7%
None 15
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 2
 
< 0.1%
CJK Compat 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7491
79.5%
E 154
 
1.6%
D 145
 
1.5%
L 126
 
1.3%
P 103
 
1.1%
) 96
 
1.0%
( 96
 
1.0%
C 72
 
0.8%
e 67
 
0.7%
o 53
 
0.6%
Other values (62) 1025
 
10.9%
Hangul
ValueCountFrequency (%)
1587
 
5.8%
1097
 
4.0%
786
 
2.9%
784
 
2.9%
753
 
2.8%
697
 
2.6%
647
 
2.4%
466
 
1.7%
397
 
1.5%
365
 
1.3%
Other values (591) 19643
72.2%
None
ValueCountFrequency (%)
· 14
93.3%
1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct158
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2001-01-03 00:00:00
Maximum2011-01-02 00:00:00
2023-12-12T08:50:08.537789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:08.691606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct164
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:50:09.015130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length14.715818
Min length2

Characters and Unicode

Total characters16467
Distinct characters300
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)5.9%

Sample

1st row친환경제품 설계 및 생산/처리 기술
2nd row폐기물/자원 재활용
3rd row친환경제품 설계 및 생산/처리 기술
4th row실내용 LED 조명기기 및 부품
5th row가스구동 히트 펌프(Gas-engine Driven Heat Pump, GHP)
ValueCountFrequency (%)
444
 
10.9%
기술 386
 
9.5%
친환경제품 289
 
7.1%
생산/처리 289
 
7.1%
설계 289
 
7.1%
led 114
 
2.8%
조명기기 107
 
2.6%
에너지 100
 
2.5%
부품 97
 
2.4%
it기기 70
 
1.7%
Other values (312) 1896
46.5%
2023-12-12T08:50:09.488751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2971
 
18.0%
1063
 
6.5%
444
 
2.7%
/ 438
 
2.7%
435
 
2.6%
418
 
2.5%
393
 
2.4%
359
 
2.2%
347
 
2.1%
335
 
2.0%
Other values (290) 9264
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11413
69.3%
Space Separator 2971
 
18.0%
Uppercase Letter 779
 
4.7%
Lowercase Letter 659
 
4.0%
Other Punctuation 507
 
3.1%
Open Punctuation 49
 
0.3%
Close Punctuation 49
 
0.3%
Decimal Number 29
 
0.2%
Dash Punctuation 7
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1063
 
9.3%
444
 
3.9%
435
 
3.8%
418
 
3.7%
393
 
3.4%
359
 
3.1%
347
 
3.0%
335
 
2.9%
328
 
2.9%
324
 
2.8%
Other values (233) 6967
61.0%
Lowercase Letter
ValueCountFrequency (%)
a 83
12.6%
c 74
11.2%
o 66
10.0%
l 60
9.1%
n 59
9.0%
i 55
8.3%
e 53
8.0%
s 37
 
5.6%
m 35
 
5.3%
t 34
 
5.2%
Other values (10) 103
15.6%
Uppercase Letter
ValueCountFrequency (%)
E 177
22.7%
D 120
15.4%
L 114
14.6%
I 97
12.5%
T 91
11.7%
O 34
 
4.4%
S 30
 
3.9%
B 28
 
3.6%
H 18
 
2.3%
P 14
 
1.8%
Other values (8) 56
 
7.2%
Decimal Number
ValueCountFrequency (%)
2 15
51.7%
1 5
 
17.2%
3 2
 
6.9%
9 1
 
3.4%
4 1
 
3.4%
8 1
 
3.4%
6 1
 
3.4%
0 1
 
3.4%
7 1
 
3.4%
5 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 438
86.4%
· 40
 
7.9%
, 17
 
3.4%
: 12
 
2.4%
Space Separator
ValueCountFrequency (%)
2971
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11413
69.3%
Common 3616
 
22.0%
Latin 1438
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1063
 
9.3%
444
 
3.9%
435
 
3.8%
418
 
3.7%
393
 
3.4%
359
 
3.1%
347
 
3.0%
335
 
2.9%
328
 
2.9%
324
 
2.8%
Other values (233) 6967
61.0%
Latin
ValueCountFrequency (%)
E 177
 
12.3%
D 120
 
8.3%
L 114
 
7.9%
I 97
 
6.7%
T 91
 
6.3%
a 83
 
5.8%
c 74
 
5.1%
o 66
 
4.6%
l 60
 
4.2%
n 59
 
4.1%
Other values (28) 497
34.6%
Common
ValueCountFrequency (%)
2971
82.2%
/ 438
 
12.1%
( 49
 
1.4%
) 49
 
1.4%
· 40
 
1.1%
, 17
 
0.5%
2 15
 
0.4%
: 12
 
0.3%
- 7
 
0.2%
1 5
 
0.1%
Other values (9) 13
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11413
69.3%
ASCII 5010
30.4%
None 40
 
0.2%
CJK Compat 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2971
59.3%
/ 438
 
8.7%
E 177
 
3.5%
D 120
 
2.4%
L 114
 
2.3%
I 97
 
1.9%
T 91
 
1.8%
a 83
 
1.7%
c 74
 
1.5%
o 66
 
1.3%
Other values (45) 779
 
15.5%
Hangul
ValueCountFrequency (%)
1063
 
9.3%
444
 
3.9%
435
 
3.8%
418
 
3.7%
393
 
3.4%
359
 
3.1%
347
 
3.0%
335
 
2.9%
328
 
2.9%
324
 
2.8%
Other values (233) 6967
61.0%
None
ValueCountFrequency (%)
· 40
100.0%
CJK Compat
ValueCountFrequency (%)
4
100.0%
Distinct955
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T08:50:09.788328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.0402145
Min length2

Characters and Unicode

Total characters8997
Distinct characters412
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

Unique832 ?
Unique (%)74.4%

Sample

1st row(주)대신시스템
2nd row(주)이우드
3rd row(주)동성기업
4th row(주)선일일렉콤
5th row삼성전자(주)
ValueCountFrequency (%)
주식회사 216
 
15.7%
17
 
1.2%
삼성전자(주 7
 
0.5%
디앤에프 4
 
0.3%
주)일렉콤 4
 
0.3%
주)아트캠 4
 
0.3%
주)티원엘에스 4
 
0.3%
아모레퍼시픽 4
 
0.3%
주)포스코건설 4
 
0.3%
주)바이오소재 4
 
0.3%
Other values (962) 1104
80.5%
2023-12-12T08:50:10.291718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1004
 
11.2%
) 735
 
8.2%
( 734
 
8.2%
309
 
3.4%
294
 
3.3%
277
 
3.1%
266
 
3.0%
261
 
2.9%
260
 
2.9%
198
 
2.2%
Other values (402) 4659
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7237
80.4%
Close Punctuation 735
 
8.2%
Open Punctuation 734
 
8.2%
Space Separator 261
 
2.9%
Uppercase Letter 11
 
0.1%
Other Punctuation 8
 
0.1%
Decimal Number 5
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1004
 
13.9%
309
 
4.3%
294
 
4.1%
277
 
3.8%
266
 
3.7%
260
 
3.6%
198
 
2.7%
118
 
1.6%
99
 
1.4%
94
 
1.3%
Other values (384) 4318
59.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
27.3%
S 2
18.2%
P 2
18.2%
C 1
 
9.1%
J 1
 
9.1%
A 1
 
9.1%
T 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
8 1
20.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 734
100.0%
Space Separator
ValueCountFrequency (%)
261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7239
80.5%
Common 1747
 
19.4%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1004
 
13.9%
309
 
4.3%
294
 
4.1%
277
 
3.8%
266
 
3.7%
260
 
3.6%
198
 
2.7%
118
 
1.6%
99
 
1.4%
94
 
1.3%
Other values (385) 4320
59.7%
Common
ValueCountFrequency (%)
) 735
42.1%
( 734
42.0%
261
 
14.9%
. 6
 
0.3%
- 4
 
0.2%
1 2
 
0.1%
& 2
 
0.1%
2 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
B 3
27.3%
S 2
18.2%
P 2
18.2%
C 1
 
9.1%
J 1
 
9.1%
A 1
 
9.1%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7237
80.4%
ASCII 1758
 
19.5%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1004
 
13.9%
309
 
4.3%
294
 
4.1%
277
 
3.8%
266
 
3.7%
260
 
3.6%
198
 
2.7%
118
 
1.6%
99
 
1.4%
94
 
1.3%
Other values (384) 4318
59.7%
ASCII
ValueCountFrequency (%)
) 735
41.8%
( 734
41.8%
261
 
14.8%
. 6
 
0.3%
- 4
 
0.2%
B 3
 
0.2%
S 2
 
0.1%
1 2
 
0.1%
& 2
 
0.1%
P 2
 
0.1%
Other values (7) 7
 
0.4%
None
ValueCountFrequency (%)
2
100.0%

발급부처
Categorical

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
중소벤처기업부
473 
환경부
329 
농림축산식품부
86 
과학기술정보통신부
75 
국토교통부
69 
Other values (3)
87 

Length

Max length9
Median length7
Mean length5.7971403
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row환경부
2nd row환경부
3rd row국토교통부
4th row환경부
5th row환경부

Common Values

ValueCountFrequency (%)
중소벤처기업부 473
42.3%
환경부 329
29.4%
농림축산식품부 86
 
7.7%
과학기술정보통신부 75
 
6.7%
국토교통부 69
 
6.2%
산업통상자원부 65
 
5.8%
해양수산부 21
 
1.9%
문화체육관광부 1
 
0.1%

Length

2023-12-12T08:50:10.459444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:10.613259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소벤처기업부 473
42.3%
환경부 329
29.4%
농림축산식품부 86
 
7.7%
과학기술정보통신부 75
 
6.7%
국토교통부 69
 
6.2%
산업통상자원부 65
 
5.8%
해양수산부 21
 
1.9%
문화체육관광부 1
 
0.1%
Distinct63
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2016-11-03 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T08:50:10.785911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:10.927896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct64
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2023-08-23 00:00:00
Maximum2026-09-02 00:00:00
2023-12-12T08:50:11.082660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:11.247149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T08:50:06.530796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:50:11.364875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발급부처인증확정일인증만료일
순번1.0000.1240.9970.997
발급부처0.1241.0000.4170.417
인증확정일0.9970.4171.0001.000
인증만료일0.9970.4171.0001.000
2023-12-12T08:50:11.462720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발급부처
순번1.0000.059
발급부처0.0591.000

Missing values

2023-12-12T08:50:06.617856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:50:06.720988image/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

순번인증번호기술명칭분류코드분류코드명신청기관명발급부처인증확정일인증만료일
01GT-17-00291프레임스토퍼를 적용하여 기밀성능을 향상시킨 창호 제조기술T100503친환경제품 설계 및 생산/처리 기술(주)대신시스템환경부2017-08-242023-08-23
12GT-17-00301재활용 발포 폴리스티렌을 이용한 복합창호 기술(프로젝트/커튼월창)T100302폐기물/자원 재활용(주)이우드환경부2017-08-242023-08-23
23GT-17-00302밀폐 및 우수 유도기능을 가진 창호 제조기술T100503친환경제품 설계 및 생산/처리 기술(주)동성기업국토교통부2017-08-242023-08-23
34GT-17-00303점등 ON/OFF 스위치형 디밍시스템을 갖춘 LED 조명기술T020701실내용 LED 조명기기 및 부품(주)선일일렉콤환경부2017-08-242023-08-23
45GT-17-00304부분부하 운전 최적화와 콤팩트화 기술을 적용한 가스히트펌프 고효율화 기술T020603가스구동 히트 펌프(Gas-engine Driven Heat Pump, GHP)삼성전자(주)환경부2017-08-242023-08-23
56GT-17-00305입력 이미지 특성에 따른 휘도 값 보정 및 인버터 제어를 통한 모니터 절전기술T040501IT기기 에너지 절감 솔루션(주)티원엘에스중소벤처기업부2017-08-242023-08-23
67GT-17-00306복수개의 엘이디 모듈을 장착한 방열성능을 향상시킨 LED등기구 제조기술T020703실외용 LED 조명기기 및 부품(주)이텍중소벤처기업부2017-08-242023-08-23
78GT-17-00308맥반석을 이용한 항곰팡이 성능을 가진 기능성 점토벽돌 제조 기술T060405기능성 건축자재(주)삼한씨원환경부2017-08-242023-08-23
89GT-17-00310혼성 폐합성수지 재활용 지주기초대 성형조성물 제조 기술T100302폐기물/자원 재활용(주)에코신화국토교통부2017-09-142023-09-13
910GT-17-00312백황토 항균 항곰팡이 페인트 제조기술T060405기능성 건축자재명진에코(주)국토교통부2017-09-142023-09-13
순번인증번호기술명칭분류코드분류코드명신청기관명발급부처인증확정일인증만료일
11091110GT-23-01712미생물 발효를 이용한 PHA(Polyhydroxyalkanoate) 생분해 플라스틱 제조기술T100501친환경 원부자재CJ제일제당농림축산식품부2023-06-152026-06-14
11101111GT-23-01713나노구리융합에폭시로 내부코팅된 PE3층 피복강관 및 이음관 제조 기술T030901상하수도관망 누수방지 기술웰텍(주)환경부2023-06-152026-06-14
11111112GT-23-01714친환경 탄성포장재 및 우레탄 생산기술T100503친환경제품 설계 및 생산/처리 기술(주)유경화성중소벤처기업부2023-06-152026-06-14
11121113GT-23-01715기밀 모헤어를 활용한 단열 창호 제조 기술T100503친환경제품 설계 및 생산/처리 기술(주)원진알미늄환경부2023-06-152026-06-14
11131114GT-23-01716ICU 실시간 스마트 케어 기술T040802IoT 센서 네트워크 구성 및 운용(주)엔티에스과학기술정보통신부2023-06-152026-06-14
11141115GT-23-01717일산화탄소와 올레핀을 이용한 친환경 고분자 신소재 폴리케톤(Polyketone) 제조 기술T071101폴리케톤 원소재효성화학(주)산업통상자원부2023-06-152026-06-14
11151116GT-23-01718축산 분뇨 바이오차 생산 밀폐 다단건조 시스템 공정 기술T100303폐기물 저감(주)에코피트농림축산식품부2023-06-152026-06-14
11161117GT-23-01719UV경화 기술이 적용된 액상 실리콘 소재의 광학렌즈 제조 기술T020703실외용 LED 조명기기 및 부품주식회사 아이엘사이언스환경부2023-06-152026-06-14
11171118GT-23-01720폐 소가죽 섬유와 재생 Polyester(PET)섬유로 만든 복합 방적사 제조 기술T070801자원 순환 녹색섬유 소재주식회사 아코플레닝환경부2023-06-152026-06-14
11181119GT-23-01721에너지 절약을 위한 웨이퍼 이송 로봇의 지능화 기술T041203로봇 지능 기술주식회사 지에스에프솔루션산업통상자원부2023-06-152026-06-14