Overview

Dataset statistics

Number of variables6
Number of observations273
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory50.5 B

Variable types

Numeric2
Text3
DateTime1

Dataset

Description국토교통R&D과제를 통해서 사업화가 추진된 실적에 관한 사항으로 과제별 사업화유형 및 매출실적, 고용창출 건수 포함
Author국토교통과학기술진흥원
URLhttps://www.data.go.kr/data/15023011/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:33:21.117998
Analysis finished2023-12-12 07:33:22.419223
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct273
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137
Minimum1
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T16:33:22.542939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.6
Q169
median137
Q3205
95-th percentile259.4
Maximum273
Range272
Interquartile range (IQR)136

Descriptive statistics

Standard deviation78.952517
Coefficient of variation (CV)0.57629575
Kurtosis-1.2
Mean137
Median Absolute Deviation (MAD)68
Skewness0
Sum37401
Variance6233.5
MonotonicityStrictly increasing
2023-12-12T16:33:22.726213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
181 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
182 1
 
0.4%
180 1
 
0.4%
206 1
 
0.4%
Other values (263) 263
96.3%
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 (%)
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%

과제명
Text

Distinct105
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T16:33:23.079971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length68
Mean length38.622711
Min length9

Characters and Unicode

Total characters10544
Distinct characters390
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)22.0%

Sample

1st rowAI 기반 건전성 예지진단 데이터베이스 구축
2nd rowAI 기반 건전성 예지진단 데이터베이스 구축
3rd row굵은골재가 혼입된 SUPER Concrete용 화학 혼화제 개발
4th row굵은골재가 혼입된 SUPER Concrete용 화학 혼화제 개발
5th row섬유보강 모르타르 타입 SUPER Concrete용 화학 혼화제 개발
ValueCountFrequency (%)
개발 208
 
8.3%
및 150
 
6.0%
기반 87
 
3.5%
기술 58
 
2.3%
위한 55
 
2.2%
솔루션 46
 
1.8%
시스템 42
 
1.7%
스마트시티 26
 
1.0%
통합설계 25
 
1.0%
시뮬레이션 25
 
1.0%
Other values (549) 1783
71.2%
2023-12-12T16:33:23.711015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2235
 
21.2%
기 323
 
3.1%
발 253
 
2.4%
개 251
 
2.4%
시 183
 
1.7%
술 154
 
1.5%
스 152
 
1.4%
및 150
 
1.4%
용 136
 
1.3%
반 128
 
1.2%
Other values (380) 6579
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7469
70.8%
Space Separator 2235
 
21.2%
Uppercase Letter 341
 
3.2%
Lowercase Letter 185
 
1.8%
Decimal Number 100
 
0.9%
Other Punctuation 77
 
0.7%
Dash Punctuation 53
 
0.5%
Open Punctuation 41
 
0.4%
Close Punctuation 41
 
0.4%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 323
 
4.3%
발 253
 
3.4%
개 251
 
3.4%
시 183
 
2.5%
술 154
 
2.1%
스 152
 
2.0%
및 150
 
2.0%
용 136
 
1.8%
반 128
 
1.7%
공 118
 
1.6%
Other values (313) 5621
75.3%
Lowercase Letter
ValueCountFrequency (%)
e 28
15.1%
o 23
12.4%
a 15
8.1%
n 15
8.1%
r 15
8.1%
t 15
8.1%
s 14
 
7.6%
i 11
 
5.9%
m 6
 
3.2%
l 6
 
3.2%
Other values (13) 37
20.0%
Uppercase Letter
ValueCountFrequency (%)
V 40
11.7%
C 40
11.7%
A 33
 
9.7%
I 28
 
8.2%
W 26
 
7.6%
R 22
 
6.5%
S 19
 
5.6%
E 18
 
5.3%
T 16
 
4.7%
D 16
 
4.7%
Other values (12) 83
24.3%
Decimal Number
ValueCountFrequency (%)
3 39
39.0%
2 18
18.0%
5 12
 
12.0%
0 11
 
11.0%
9 6
 
6.0%
1 4
 
4.0%
7 3
 
3.0%
6 3
 
3.0%
4 2
 
2.0%
8 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 28
36.4%
/ 25
32.5%
% 9
 
11.7%
. 6
 
7.8%
· 6
 
7.8%
: 3
 
3.9%
Space Separator
ValueCountFrequency (%)
2235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7469
70.8%
Common 2549
 
24.2%
Latin 526
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 323
 
4.3%
발 253
 
3.4%
개 251
 
3.4%
시 183
 
2.5%
술 154
 
2.1%
스 152
 
2.0%
및 150
 
2.0%
용 136
 
1.8%
반 128
 
1.7%
공 118
 
1.6%
Other values (313) 5621
75.3%
Latin
ValueCountFrequency (%)
V 40
 
7.6%
C 40
 
7.6%
A 33
 
6.3%
I 28
 
5.3%
e 28
 
5.3%
W 26
 
4.9%
o 23
 
4.4%
R 22
 
4.2%
S 19
 
3.6%
E 18
 
3.4%
Other values (35) 249
47.3%
Common
ValueCountFrequency (%)
2235
87.7%
- 53
 
2.1%
( 41
 
1.6%
) 41
 
1.6%
3 39
 
1.5%
, 28
 
1.1%
/ 25
 
1.0%
2 18
 
0.7%
5 12
 
0.5%
0 11
 
0.4%
Other values (12) 46
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7467
70.8%
ASCII 3068
29.1%
None 7
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2235
72.8%
- 53
 
1.7%
( 41
 
1.3%
) 41
 
1.3%
V 40
 
1.3%
C 40
 
1.3%
3 39
 
1.3%
A 33
 
1.1%
, 28
 
0.9%
I 28
 
0.9%
Other values (55) 490
 
16.0%
Hangul
ValueCountFrequency (%)
기 323
 
4.3%
발 253
 
3.4%
개 251
 
3.4%
시 183
 
2.5%
술 154
 
2.1%
스 152
 
2.0%
및 150
 
2.0%
용 136
 
1.8%
반 128
 
1.7%
공 118
 
1.6%
Other values (312) 5619
75.3%
None
ValueCountFrequency (%)
· 6
85.7%
² 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

계약일
Date

Distinct157
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2019-06-12 00:00:00
Maximum2022-06-08 00:00:00
2023-12-12T16:33:23.872921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:24.035320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약명
Text

Distinct193
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T16:33:24.328206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length49
Mean length22.593407
Min length4

Characters and Unicode

Total characters6168
Distinct characters426
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)63.0%

Sample

1st row플랜트 데이터를 활용한 소프트웨어 개발 방법론
2nd row광역 단위 수소 기반 에너지 체계 및 유틸리티 시설의 탄소중립 요소 및 시스템 기술 심층 조사
3rd rowSC3000E
4th rowSC3000E
5th rowFLOWMIX HP-DE
ValueCountFrequency (%)
친환경 47
 
4.1%
및 37
 
3.2%
인공지능 36
 
3.1%
건축설계 36
 
3.1%
빌드잇 36
 
3.1%
시스템 28
 
2.4%
철도통합무선망(lte-r 14
 
1.2%
개발 13
 
1.1%
개량 13
 
1.1%
구매설치 12
 
1.0%
Other values (568) 885
76.5%
2023-12-12T16:33:24.780486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
938
 
15.2%
- 181
 
2.9%
( 133
 
2.2%
) 133
 
2.2%
C 114
 
1.8%
S 88
 
1.4%
시 84
 
1.4%
0 82
 
1.3%
스 81
 
1.3%
H 76
 
1.2%
Other values (416) 4258
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3323
53.9%
Space Separator 938
 
15.2%
Uppercase Letter 802
 
13.0%
Decimal Number 348
 
5.6%
Lowercase Letter 245
 
4.0%
Dash Punctuation 181
 
2.9%
Open Punctuation 134
 
2.2%
Close Punctuation 134
 
2.2%
Other Punctuation 41
 
0.7%
Math Symbol 20
 
0.3%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 84
 
2.5%
스 81
 
2.4%
경 67
 
2.0%
공 67
 
2.0%
설 66
 
2.0%
지 63
 
1.9%
드 58
 
1.7%
이 53
 
1.6%
계 53
 
1.6%
인 52
 
1.6%
Other values (345) 2679
80.6%
Uppercase Letter
ValueCountFrequency (%)
C 114
14.2%
S 88
11.0%
H 76
9.5%
W 75
9.4%
N 69
 
8.6%
E 65
 
8.1%
P 48
 
6.0%
R 34
 
4.2%
T 32
 
4.0%
I 28
 
3.5%
Other values (14) 173
21.6%
Lowercase Letter
ValueCountFrequency (%)
a 35
14.3%
o 33
13.5%
e 30
12.2%
i 19
7.8%
n 18
 
7.3%
r 18
 
7.3%
t 17
 
6.9%
s 11
 
4.5%
l 10
 
4.1%
d 9
 
3.7%
Other values (14) 45
18.4%
Decimal Number
ValueCountFrequency (%)
0 82
23.6%
2 72
20.7%
1 62
17.8%
3 52
14.9%
5 20
 
5.7%
4 18
 
5.2%
6 14
 
4.0%
9 11
 
3.2%
7 9
 
2.6%
8 8
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 32
78.0%
/ 8
 
19.5%
: 1
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 133
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 133
99.3%
] 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 19
95.0%
+ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
938
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Other Symbol
ValueCountFrequency (%)
■ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3323
53.9%
Common 1798
29.2%
Latin 1047
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 84
 
2.5%
스 81
 
2.4%
경 67
 
2.0%
공 67
 
2.0%
설 66
 
2.0%
지 63
 
1.9%
드 58
 
1.7%
이 53
 
1.6%
계 53
 
1.6%
인 52
 
1.6%
Other values (345) 2679
80.6%
Latin
ValueCountFrequency (%)
C 114
 
10.9%
S 88
 
8.4%
H 76
 
7.3%
W 75
 
7.2%
N 69
 
6.6%
E 65
 
6.2%
P 48
 
4.6%
a 35
 
3.3%
R 34
 
3.2%
o 33
 
3.2%
Other values (38) 410
39.2%
Common
ValueCountFrequency (%)
938
52.2%
- 181
 
10.1%
( 133
 
7.4%
) 133
 
7.4%
0 82
 
4.6%
2 72
 
4.0%
1 62
 
3.4%
3 52
 
2.9%
, 32
 
1.8%
5 20
 
1.1%
Other values (13) 93
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3323
53.9%
ASCII 2844
46.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
938
33.0%
- 181
 
6.4%
( 133
 
4.7%
) 133
 
4.7%
C 114
 
4.0%
S 88
 
3.1%
0 82
 
2.9%
H 76
 
2.7%
W 75
 
2.6%
2 72
 
2.5%
Other values (60) 952
33.5%
Hangul
ValueCountFrequency (%)
시 84
 
2.5%
스 81
 
2.4%
경 67
 
2.0%
공 67
 
2.0%
설 66
 
2.0%
지 63
 
1.9%
드 58
 
1.7%
이 53
 
1.6%
계 53
 
1.6%
인 52
 
1.6%
Other values (345) 2679
80.6%
Geometric Shapes
ValueCountFrequency (%)
■ 1
100.0%

실시기관
Text

Distinct177
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T16:33:25.035114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length8.996337
Min length3

Characters and Unicode

Total characters2456
Distinct characters279
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

Unique134 ?
Unique (%)49.1%

Sample

1st row(주)아톰소프트
2nd row한국건설기술연구원
3rd row(주)실크로드시앤티
4th row(주)실크로드시앤티
5th row한국건설기술연구원, 그레이스홀딩스, 세종대학교
ValueCountFrequency (%)
주식회사 43
 
12.0%
주)세스트 11
 
3.1%
경기도 10
 
2.8%
주)호반건설 8
 
2.2%
주식회사케이티 8
 
2.2%
용인시 7
 
2.0%
에스케이텔레콤(주 7
 
2.0%
주)대한항공 5
 
1.4%
주)현대종합설계건축사사무소 5
 
1.4%
주)지스아이앤씨 5
 
1.4%
Other values (193) 249
69.6%
2023-12-12T16:33:25.470425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 204
 
8.3%
( 139
 
5.7%
) 139
 
5.7%
사 108
 
4.4%
86
 
3.5%
이 77
 
3.1%
스 59
 
2.4%
회 58
 
2.4%
식 56
 
2.3%
건 45
 
1.8%
Other values (269) 1485
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2033
82.8%
Open Punctuation 139
 
5.7%
Close Punctuation 139
 
5.7%
Space Separator 86
 
3.5%
Lowercase Letter 27
 
1.1%
Uppercase Letter 12
 
0.5%
Other Punctuation 10
 
0.4%
Other Symbol 9
 
0.4%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 204
 
10.0%
사 108
 
5.3%
이 77
 
3.8%
스 59
 
2.9%
회 58
 
2.9%
식 56
 
2.8%
건 45
 
2.2%
시 34
 
1.7%
한 33
 
1.6%
공 33
 
1.6%
Other values (236) 1326
65.2%
Lowercase Letter
ValueCountFrequency (%)
a 5
18.5%
n 4
14.8%
i 3
11.1%
c 2
 
7.4%
t 2
 
7.4%
u 2
 
7.4%
y 1
 
3.7%
d 1
 
3.7%
l 1
 
3.7%
h 1
 
3.7%
Other values (5) 5
18.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
25.0%
K 1
 
8.3%
E 1
 
8.3%
P 1
 
8.3%
W 1
 
8.3%
T 1
 
8.3%
M 1
 
8.3%
X 1
 
8.3%
N 1
 
8.3%
I 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
& 1
 
10.0%
. 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2042
83.1%
Common 375
 
15.3%
Latin 39
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 204
 
10.0%
사 108
 
5.3%
이 77
 
3.8%
스 59
 
2.9%
회 58
 
2.8%
식 56
 
2.7%
건 45
 
2.2%
시 34
 
1.7%
한 33
 
1.6%
공 33
 
1.6%
Other values (237) 1335
65.4%
Latin
ValueCountFrequency (%)
a 5
 
12.8%
n 4
 
10.3%
i 3
 
7.7%
C 3
 
7.7%
c 2
 
5.1%
t 2
 
5.1%
u 2
 
5.1%
K 1
 
2.6%
E 1
 
2.6%
P 1
 
2.6%
Other values (15) 15
38.5%
Common
ValueCountFrequency (%)
( 139
37.1%
) 139
37.1%
86
22.9%
, 8
 
2.1%
& 1
 
0.3%
. 1
 
0.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2033
82.8%
ASCII 414
 
16.9%
None 9
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 204
 
10.0%
사 108
 
5.3%
이 77
 
3.8%
스 59
 
2.9%
회 58
 
2.9%
식 56
 
2.8%
건 45
 
2.2%
시 34
 
1.7%
한 33
 
1.6%
공 33
 
1.6%
Other values (236) 1326
65.2%
ASCII
ValueCountFrequency (%)
( 139
33.6%
) 139
33.6%
86
20.8%
, 8
 
1.9%
a 5
 
1.2%
n 4
 
1.0%
i 3
 
0.7%
C 3
 
0.7%
c 2
 
0.5%
t 2
 
0.5%
Other values (22) 23
 
5.6%
None
ValueCountFrequency (%)
㈜ 9
100.0%

매출액
Real number (ℝ)

Distinct221
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8662332 × 108
Minimum1
Maximum8.1037702 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T16:33:25.635589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile775338
Q17500000
median29000000
Q31.711438 × 108
95-th percentile4.0116 × 109
Maximum8.1037702 × 1010
Range8.1037702 × 1010
Interquartile range (IQR)1.636438 × 108

Descriptive statistics

Standard deviation5.044292 × 109
Coefficient of variation (CV)6.4125889
Kurtosis237.79242
Mean7.8662332 × 108
Median Absolute Deviation (MAD)27000000
Skewness14.958363
Sum2.1474817 × 1011
Variance2.5444882 × 1019
MonotonicityNot monotonic
2023-12-12T16:33:25.813679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7500000 8
 
2.9%
50000000 6
 
2.2%
2500000 5
 
1.8%
10000000 4
 
1.5%
1000000 4
 
1.5%
22000000 3
 
1.1%
2000000 3
 
1.1%
6000000 3
 
1.1%
1 3
 
1.1%
3000000 3
 
1.1%
Other values (211) 231
84.6%
ValueCountFrequency (%)
1 3
1.1%
69000 2
0.7%
77000 1
 
0.4%
80000 1
 
0.4%
276000 1
 
0.4%
414000 1
 
0.4%
500000 2
0.7%
539000 1
 
0.4%
621000 1
 
0.4%
690000 1
 
0.4%
ValueCountFrequency (%)
81037702337 1
0.4%
7200000000 2
0.7%
6793705600 1
0.4%
6557177960 1
0.4%
5683603200 1
0.4%
5223870000 1
0.4%
4800000000 1
0.4%
4577353110 1
0.4%
4461827500 1
0.4%
4243421000 1
0.4%

Interactions

2023-12-12T16:33:21.959323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:21.749246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:22.060714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:21.851783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:33:25.921907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호매출액
번호1.0000.031
매출액0.0311.000
2023-12-12T16:33:26.008939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호매출액
번호1.0000.268
매출액0.2681.000

Missing values

2023-12-12T16:33:22.211432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:33:22.348625image/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

번호과제명계약일계약명실시기관매출액
01AI 기반 건전성 예지진단 데이터베이스 구축2021-09-10플랜트 데이터를 활용한 소프트웨어 개발 방법론(주)아톰소프트5000000
12AI 기반 건전성 예지진단 데이터베이스 구축2021-10-29광역 단위 수소 기반 에너지 체계 및 유틸리티 시설의 탄소중립 요소 및 시스템 기술 심층 조사한국건설기술연구원6000000
23굵은골재가 혼입된 SUPER Concrete용 화학 혼화제 개발2022-02-01SC3000E(주)실크로드시앤티7378272
34굵은골재가 혼입된 SUPER Concrete용 화학 혼화제 개발2022-05-02SC3000E(주)실크로드시앤티76142925
45섬유보강 모르타르 타입 SUPER Concrete용 화학 혼화제 개발2021-01-01FLOWMIX HP-DE한국건설기술연구원, 그레이스홀딩스, 세종대학교1435000
56시공품질을 모니터링 하는 다중 동시주입용 차수 지반보강 그라우팅 공법 개발2021-07-08주입공별로 주입압력, 주입량 등 조절이 가능한 다중 동시 주입펌프를 이용한 컴팩션 그라우팅 시공 기술속초 쌍천지구 재해위험지역 정비사업 토목공사(2차)4243421000
67대형 연성기초의 성능향상 기술 및 대구경 항타말뚝 지지력 평가 기술 개발2021-09-28대변형 해석을 이용한 폐색효과 거동 분석 방법(주)피티씨5500000
78케이블교량 디지털모델과 상용 해석프로그램 연동기술2021-11-03MIDAS CIM㈜마이다스아이티15000000
89케이블교량 디지털모델과 상용 해석프로그램 연동기술2021-08-03MIDAS CIM㈜마이다스아이티8200000
910케이블교량 디지털모델과 상용 해석프로그램 연동기술2021-11-29MIDAS CIM㈜마이다스아이티30000000
번호과제명계약일계약명실시기관매출액
263264항공기 제동장치 정비,시험 인프라 기술 개발2021-11-20제동장치 정밀시험(B737)데크카본59600000
264265항공기 제동장치 정비,시험 인프라 기술 개발2021-05-17제동장치 정밀시험(T50)데크카본857640000
265266MLAT용 표적 위치추정 및 항적생성 기술 개발2021-12-30MLAT용 표적 위치추정 및 항적생성기술/외부연동장치기술(주)우리별80000000
266267공항수하물처리시스템 핵심부품 기술 및 Self Bag Drop 시스템 기술 개발2020-02-12공용 셀프체크인 플랫폼 구축사업에임시스템(주)3043106000
267268항공기용 가스터빈엔진 부품의 균열·마모 수리를 위한 핵심정비기술 개발2021-09-13항공기 가스터빈엔진 부품의 균열 마모 수리(P735175)(주)대한항공526666650
268269항공기용 가스터빈엔진 부품의 균열·마모 수리를 위한 핵심정비기술 개발2021-09-30항공기 가스터빈엔진 부품의 균열 마모 수리(P735167)(주)대한항공539398426
269270항공기용 가스터빈엔진 부품의 균열·마모 수리를 위한 핵심정비기술 개발2021-08-13항공기 가스터빈엔진 부품의 균열 마모 수리(P222233)(주)대한항공664661164
270271항공기용 가스터빈엔진 부품의 균열·마모 수리를 위한 핵심정비기술 개발2021-03-16항공기 가스터빈엔진 부품의 균열 마모 수리(P222299)(주)대한항공1236725433
271272항공기용 가스터빈엔진 부품의 균열·마모 수리를 위한 핵심정비기술 개발2021-08-26항공기 가스터빈엔진 부품의 균열 마모 수리(P735164)(주)대한항공539398426
272273국가 비행종합시험 인프라 개발 구축2021-12-07국가 비행종합시험장 비행시험항공안전기술원11150000