Overview

Dataset statistics

Number of variables9
Number of observations109
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory76.2 B

Variable types

Numeric3
Categorical3
Text2
DateTime1

Dataset

Description한국동서발전의 연구 개발 정보 입니다. 연구 개발 정보는 순번, 구분, 과제명, 연구시작일자, 연구종료일자, 주관기관, 참여기관, 총 연구비(천원), 동서발전 분담금액(천원)의 항목으로 구성됩니다.
URLhttps://www.data.go.kr/data/15009812/fileData.do

Alerts

순번 is highly overall correlated with 총 연구비(천원) and 2 other fieldsHigh correlation
총 연구비(천원) is highly overall correlated with 순번 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
연구시작일자 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
참여기관 is highly overall correlated with 총 연구비(천원) and 1 other fieldsHigh correlation
순번 has unique valuesUnique
과제명 has unique valuesUnique
동서발전 분담금액(천원) has 11 (10.1%) zerosZeros

Reproduction

Analysis started2023-12-12 17:48:39.604134
Analysis finished2023-12-12 17:48:41.511436
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:48:41.615975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.4
Q128
median55
Q382
95-th percentile103.6
Maximum109
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.609598
Coefficient of variation (CV)0.57471996
Kurtosis-1.2
Mean55
Median Absolute Deviation (MAD)27
Skewness0
Sum5995
Variance999.16667
MonotonicityStrictly increasing
2023-12-13T02:48:41.773581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (99) 99
90.8%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%

구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
정부
25 
자체
25 
민관공동
19 
협력연구
13 
전력연(통합)
12 
Other values (3)
15 

Length

Max length7
Median length5
Mean length3.3944954
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정부
2nd row정부
3rd row정부
4th row정부
5th row정부

Common Values

ValueCountFrequency (%)
정부 25
22.9%
자체 25
22.9%
민관공동 19
17.4%
협력연구 13
11.9%
전력연(통합) 12
11.0%
현장연구 9
 
8.3%
전력연 4
 
3.7%
구매조건부 2
 
1.8%

Length

2023-12-13T02:48:41.924093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:42.052922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정부 25
22.9%
자체 25
22.9%
민관공동 19
17.4%
협력연구 13
11.9%
전력연(통합 12
11.0%
현장연구 9
 
8.3%
전력연 4
 
3.7%
구매조건부 2
 
1.8%

과제명
Text

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-13T02:48:42.355593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length34.513761
Min length16

Characters and Unicode

Total characters3762
Distinct characters373
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

Unique109 ?
Unique (%)100.0%

Sample

1st row에너지자원(석유, 가스 등) 거래기술 전문가 고급트랙
2nd rowCCS 통합실증을 위한 중규모 저장연계 연소후 습식 CO2 포집기술 고도화
3rd row이미지 형식 엔지니어링 도면의 지식기반 설계정보 인식기술 개발
4th row방사선투과검사(RT) 대체용 최신 비파괴 체적검사 실증 기술개발
5th row포집 이산화탄소 전환 CO 기반 데모플랜트 실증 기술 개발
ValueCountFrequency (%)
개발 86
 
9.9%
및 36
 
4.1%
시스템 24
 
2.8%
국산화 24
 
2.8%
위한 17
 
2.0%
기반 15
 
1.7%
발전소 15
 
1.7%
기술 12
 
1.4%
실증 11
 
1.3%
이용한 7
 
0.8%
Other values (513) 621
71.5%
2023-12-13T02:48:43.128139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
765
 
20.3%
발 136
 
3.6%
개 99
 
2.6%
기 96
 
2.6%
전 70
 
1.9%
스 62
 
1.6%
화 57
 
1.5%
시 44
 
1.2%
용 43
 
1.1%
e 43
 
1.1%
Other values (363) 2347
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2406
64.0%
Space Separator 765
 
20.3%
Lowercase Letter 302
 
8.0%
Uppercase Letter 190
 
5.1%
Decimal Number 50
 
1.3%
Close Punctuation 15
 
0.4%
Open Punctuation 15
 
0.4%
Other Punctuation 9
 
0.2%
Dash Punctuation 8
 
0.2%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 136
 
5.7%
개 99
 
4.1%
기 96
 
4.0%
전 70
 
2.9%
스 62
 
2.6%
화 57
 
2.4%
시 44
 
1.8%
용 43
 
1.8%
소 41
 
1.7%
지 38
 
1.6%
Other values (302) 1720
71.5%
Lowercase Letter
ValueCountFrequency (%)
e 43
14.2%
o 32
10.6%
i 26
8.6%
t 26
8.6%
r 26
8.6%
a 24
 
7.9%
l 23
 
7.6%
n 18
 
6.0%
m 10
 
3.3%
u 10
 
3.3%
Other values (14) 64
21.2%
Uppercase Letter
ValueCountFrequency (%)
C 24
12.6%
T 19
 
10.0%
S 16
 
8.4%
M 16
 
8.4%
W 15
 
7.9%
P 14
 
7.4%
I 11
 
5.8%
O 9
 
4.7%
R 9
 
4.7%
B 8
 
4.2%
Other values (11) 49
25.8%
Decimal Number
ValueCountFrequency (%)
0 19
38.0%
1 13
26.0%
2 8
16.0%
5 6
 
12.0%
4 2
 
4.0%
3 2
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 14
93.3%
] 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 14
93.3%
[ 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
/ 3
33.3%
Other Symbol
ValueCountFrequency (%)
℃ 1
50.0%
㎿ 1
50.0%
Space Separator
ValueCountFrequency (%)
765
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2406
64.0%
Common 864
 
23.0%
Latin 492
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 136
 
5.7%
개 99
 
4.1%
기 96
 
4.0%
전 70
 
2.9%
스 62
 
2.6%
화 57
 
2.4%
시 44
 
1.8%
용 43
 
1.8%
소 41
 
1.7%
지 38
 
1.6%
Other values (302) 1720
71.5%
Latin
ValueCountFrequency (%)
e 43
 
8.7%
o 32
 
6.5%
i 26
 
5.3%
t 26
 
5.3%
r 26
 
5.3%
C 24
 
4.9%
a 24
 
4.9%
l 23
 
4.7%
T 19
 
3.9%
n 18
 
3.7%
Other values (35) 231
47.0%
Common
ValueCountFrequency (%)
765
88.5%
0 19
 
2.2%
) 14
 
1.6%
( 14
 
1.6%
1 13
 
1.5%
- 8
 
0.9%
2 8
 
0.9%
, 6
 
0.7%
5 6
 
0.7%
/ 3
 
0.3%
Other values (6) 8
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2406
64.0%
ASCII 1354
36.0%
Letterlike Symbols 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
765
56.5%
e 43
 
3.2%
o 32
 
2.4%
i 26
 
1.9%
t 26
 
1.9%
r 26
 
1.9%
C 24
 
1.8%
a 24
 
1.8%
l 23
 
1.7%
T 19
 
1.4%
Other values (49) 346
25.6%
Hangul
ValueCountFrequency (%)
발 136
 
5.7%
개 99
 
4.1%
기 96
 
4.0%
전 70
 
2.9%
스 62
 
2.6%
화 57
 
2.4%
시 44
 
1.8%
용 43
 
1.8%
소 41
 
1.7%
지 38
 
1.6%
Other values (302) 1720
71.5%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎿ 1
100.0%

연구시작일자
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2020-10-20
9 
2019-10-01
9 
2021-05-01
 
6
2019-12-30
 
4
2019-05-01
 
4
Other values (40)
77 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique20 ?
Unique (%)18.3%

Sample

1st row2016-06-01
2nd row2017-12-01
3rd row2018-04-01
4th row2018-05-01
5th row2018-05-01

Common Values

ValueCountFrequency (%)
2020-10-20 9
 
8.3%
2019-10-01 9
 
8.3%
2021-05-01 6
 
5.5%
2019-12-30 4
 
3.7%
2019-05-01 4
 
3.7%
2020-08-01 4
 
3.7%
2020-02-01 4
 
3.7%
2021-04-01 4
 
3.7%
2019-01-24 4
 
3.7%
2020-03-02 4
 
3.7%
Other values (35) 57
52.3%

Length

2023-12-13T02:48:43.282557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-10-20 9
 
8.3%
2019-10-01 9
 
8.3%
2021-05-01 6
 
5.5%
2021-04-01 4
 
3.7%
2018-11-01 4
 
3.7%
2021-02-15 4
 
3.7%
2019-01-24 4
 
3.7%
2020-03-02 4
 
3.7%
2020-02-01 4
 
3.7%
2020-08-01 4
 
3.7%
Other values (35) 57
52.3%

연구종료일자
Date

Distinct54
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2018-12-21 00:00:00
Maximum2025-12-31 00:00:00
2023-12-13T02:48:43.423625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:43.583719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주관기관
Text

Distinct85
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-13T02:48:43.871191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.7614679
Min length2

Characters and Unicode

Total characters628
Distinct characters167
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

Unique81 ?
Unique (%)74.3%

Sample

1st rowUNIST
2nd row전력연구원
3rd row경북대학교
4th row서울과학기술대학교
5th row㈜부흥산업사
ValueCountFrequency (%)
전력연구원 21
 
18.4%
unist 3
 
2.6%
케이텍플러스 2
 
1.8%
㈜마이크로원 2
 
1.8%
korea 2
 
1.8%
지오네트 1
 
0.9%
한일마이크로텍㈜ 1
 
0.9%
㈜o&m 1
 
0.9%
㈜디지털파워넷 1
 
0.9%
㈜대한시브이디 1
 
0.9%
Other values (79) 79
69.3%
2023-12-13T02:48:44.321811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 42
 
6.7%
전 27
 
4.3%
원 27
 
4.3%
이 27
 
4.3%
력 24
 
3.8%
연 21
 
3.3%
구 21
 
3.3%
스 16
 
2.5%
크 15
 
2.4%
지 13
 
2.1%
Other values (157) 395
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
86.0%
Other Symbol 42
 
6.7%
Uppercase Letter 25
 
4.0%
Lowercase Letter 8
 
1.3%
Space Separator 5
 
0.8%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 27
 
5.0%
원 27
 
5.0%
이 27
 
5.0%
력 24
 
4.4%
연 21
 
3.9%
구 21
 
3.9%
스 16
 
3.0%
크 15
 
2.8%
지 13
 
2.4%
엔 10
 
1.9%
Other values (139) 339
62.8%
Uppercase Letter
ValueCountFrequency (%)
I 4
16.0%
U 3
12.0%
M 3
12.0%
K 3
12.0%
S 3
12.0%
T 3
12.0%
N 3
12.0%
O 2
8.0%
A 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
r 2
25.0%
e 2
25.0%
a 2
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 582
92.7%
Latin 33
 
5.3%
Common 13
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 42
 
7.2%
전 27
 
4.6%
원 27
 
4.6%
이 27
 
4.6%
력 24
 
4.1%
연 21
 
3.6%
구 21
 
3.6%
스 16
 
2.7%
크 15
 
2.6%
지 13
 
2.2%
Other values (140) 349
60.0%
Latin
ValueCountFrequency (%)
I 4
12.1%
U 3
9.1%
M 3
9.1%
K 3
9.1%
S 3
9.1%
T 3
9.1%
N 3
9.1%
O 2
 
6.1%
o 2
 
6.1%
r 2
 
6.1%
Other values (3) 5
15.2%
Common
ValueCountFrequency (%)
5
38.5%
( 3
23.1%
) 3
23.1%
& 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
86.0%
ASCII 46
 
7.3%
None 42
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 42
100.0%
Hangul
ValueCountFrequency (%)
전 27
 
5.0%
원 27
 
5.0%
이 27
 
5.0%
력 24
 
4.4%
연 21
 
3.9%
구 21
 
3.9%
스 16
 
3.0%
크 15
 
2.8%
지 13
 
2.4%
엔 10
 
1.9%
Other values (139) 339
62.8%
ASCII
ValueCountFrequency (%)
5
 
10.9%
I 4
 
8.7%
( 3
 
6.5%
U 3
 
6.5%
M 3
 
6.5%
) 3
 
6.5%
K 3
 
6.5%
S 3
 
6.5%
T 3
 
6.5%
N 3
 
6.5%
Other values (7) 13
28.3%

참여기관
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size1004.0 B
동서
29 
동서(수요기관)
21 
발전5사
12 
한전, 남동, 중부, 서부, 동서
 
3
발전5사(동서주관)
 
2
Other values (40)
42 

Length

Max length89
Median length70
Mean length14.238532
Min length2

Unique

Unique38 ?
Unique (%)34.9%

Sample

1st row동서, 석유공사, 울산항만공사 등
2nd row발전5사, 하이테크엔지니어링, 경북대, 연세대
3rd row동서,잇츠아이,고등기술연구원,(사)한국플랜트산업협회 등
4th row발전5사,한수원,한전KPS,대한검사기술㈜,㈜오름,한국비파괴검사학회,대한전기협회
5th row동서,한국화학연구원,충남대,성균관대

Common Values

ValueCountFrequency (%)
동서 29
26.6%
동서(수요기관) 21
19.3%
발전5사 12
 
11.0%
한전, 남동, 중부, 서부, 동서 3
 
2.8%
발전5사(동서주관) 2
 
1.8%
동서, 남부, 서부, 중부 2
 
1.8%
한전, 남동, 중부, 서부, 남부, 동서, 희성촉매 2
 
1.8%
발전5사, 두산중공업, 한울전력기술, 유진에너지기술, 이앤씨코리아 1
 
0.9%
동서,한국화학연구원,충남대,성균관대 1
 
0.9%
발전5사,한수원,한전KPS,대건테크,두중,지쓰리디팹,KAIST,생기연,한화에어로스페이스 1
 
0.9%
Other values (35) 35
32.1%

Length

2023-12-13T02:48:44.486027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동서 55
20.1%
동서(수요기관 25
 
9.1%
발전5사 18
 
6.6%
서부 16
 
5.8%
중부 15
 
5.5%
한전 11
 
4.0%
남동 10
 
3.6%
남부 10
 
3.6%
한국에너지기술연구원 4
 
1.5%
연세대 3
 
1.1%
Other values (95) 107
39.1%

총 연구비(천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct95
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3833907.1
Minimum100000
Maximum31733967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:48:44.626890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile181100
Q1400000
median796500
Q33119600
95-th percentile20730612
Maximum31733967
Range31633967
Interquartile range (IQR)2719600

Descriptive statistics

Standard deviation6693262
Coefficient of variation (CV)1.7458071
Kurtosis5.6229617
Mean3833907.1
Median Absolute Deviation (MAD)578500
Skewness2.4466375
Sum4.1789587 × 108
Variance4.4799756 × 1013
MonotonicityNot monotonic
2023-12-13T02:48:44.794080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500000.0 5
 
4.6%
200000.0 4
 
3.7%
400000.0 3
 
2.8%
250000.0 2
 
1.8%
440000.0 2
 
1.8%
450000.0 2
 
1.8%
890000.0 2
 
1.8%
1500000.0 2
 
1.8%
418200.0 1
 
0.9%
418970.0 1
 
0.9%
Other values (85) 85
78.0%
ValueCountFrequency (%)
100000.0 1
 
0.9%
125000.0 1
 
0.9%
128600.0 1
 
0.9%
146000.0 1
 
0.9%
150000.0 1
 
0.9%
168500.0 1
 
0.9%
200000.0 4
3.7%
210480.0 1
 
0.9%
212000.0 1
 
0.9%
218000.0 1
 
0.9%
ValueCountFrequency (%)
31733967.0 1
0.9%
29800000.0 1
0.9%
25961078.0 1
0.9%
22223420.0 1
0.9%
21598705.0 1
0.9%
21125000.0 1
0.9%
20139029.82 1
0.9%
17953020.0 1
0.9%
17292032.0 1
0.9%
13068000.0 1
0.9%

동서발전 분담금액(천원)
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342482.55
Minimum0
Maximum2600000
Zeros11
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T02:48:44.989100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163000
median190000
Q3394000
95-th percentile1460000
Maximum2600000
Range2600000
Interquartile range (IQR)331000

Descriptive statistics

Standard deviation475797.76
Coefficient of variation (CV)1.3892613
Kurtosis8.7511199
Mean342482.55
Median Absolute Deviation (MAD)143625
Skewness2.8233188
Sum37330598
Variance2.2638351 × 1011
MonotonicityNot monotonic
2023-12-13T02:48:45.183793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
10.1%
300000.0 3
 
2.8%
400000.0 3
 
2.8%
150000.0 3
 
2.8%
160000.0 2
 
1.8%
250000.0 2
 
1.8%
190000.0 2
 
1.8%
375000.0 2
 
1.8%
110000.0 2
 
1.8%
220000.0 2
 
1.8%
Other values (74) 77
70.6%
ValueCountFrequency (%)
0.0 11
10.1%
8000.0 1
 
0.9%
9856.0 1
 
0.9%
10000.0 1
 
0.9%
14000.0 1
 
0.9%
18750.0 1
 
0.9%
19290.0 1
 
0.9%
30000.0 1
 
0.9%
32032.0 1
 
0.9%
37500.0 1
 
0.9%
ValueCountFrequency (%)
2600000.0 1
0.9%
2400000.0 1
0.9%
2000000.0 1
0.9%
1784068.0 1
0.9%
1515571.434 1
0.9%
1500000.0 1
0.9%
1400000.0 1
0.9%
1200000.0 1
0.9%
980000.0 1
0.9%
903400.0 1
0.9%

Interactions

2023-12-13T02:48:40.925733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:40.344830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:40.633109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:41.013854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:40.427201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:40.725826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:41.138975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:40.528216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:40.825191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:48:45.299910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분연구시작일자연구종료일자주관기관참여기관총 연구비(천원)동서발전 분담금액(천원)
순번1.0000.9250.9600.9200.8760.8940.4820.372
구분0.9251.0000.9650.9500.6000.9270.3790.228
연구시작일자0.9600.9651.0000.9880.0000.9720.8570.361
연구종료일자0.9200.9500.9881.0000.0000.8930.0000.741
주관기관0.8760.6000.0000.0001.0000.0000.0000.000
참여기관0.8940.9270.9720.8930.0001.0000.9970.000
총 연구비(천원)0.4820.3790.8570.0000.0000.9971.0000.476
동서발전 분담금액(천원)0.3720.2280.3610.7410.0000.0000.4761.000
2023-12-13T02:48:45.424581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분참여기관연구시작일자
구분1.0000.5440.638
참여기관0.5441.0000.443
연구시작일자0.6380.4431.000
2023-12-13T02:48:45.518891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총 연구비(천원)동서발전 분담금액(천원)구분연구시작일자참여기관
순번1.000-0.7280.0410.7740.5890.452
총 연구비(천원)-0.7281.0000.1890.1960.3890.727
동서발전 분담금액(천원)0.0410.1891.0000.1100.0820.000
구분0.7740.1960.1101.0000.6380.544
연구시작일자0.5890.3890.0820.6381.0000.443
참여기관0.4520.7270.0000.5440.4431.000

Missing values

2023-12-13T02:48:41.290308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:48:41.451907image/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

순번구분과제명연구시작일자연구종료일자주관기관참여기관총 연구비(천원)동서발전 분담금액(천원)
01정부에너지자원(석유, 가스 등) 거래기술 전문가 고급트랙2016-06-012021-06-30UNIST동서, 석유공사, 울산항만공사 등3050000.0135000.0
12정부CCS 통합실증을 위한 중규모 저장연계 연소후 습식 CO2 포집기술 고도화2017-12-012021-11-30전력연구원발전5사, 하이테크엔지니어링, 경북대, 연세대21125000.0460000.0
23정부이미지 형식 엔지니어링 도면의 지식기반 설계정보 인식기술 개발2018-04-012020-12-31경북대학교동서,잇츠아이,고등기술연구원,(사)한국플랜트산업협회 등2272660.00.0
34정부방사선투과검사(RT) 대체용 최신 비파괴 체적검사 실증 기술개발2018-05-012022-04-30서울과학기술대학교발전5사,한수원,한전KPS,대한검사기술㈜,㈜오름,한국비파괴검사학회,대한전기협회3700000.0300000.0
45정부포집 이산화탄소 전환 CO 기반 데모플랜트 실증 기술 개발2018-05-012021-12-31㈜부흥산업사동서,한국화학연구원,충남대,성균관대22223420.08000.0
56정부발전소의 단종 및 수요부품 제작을 위한 금속 3D 프린팅 상용화 기술개발2018-07-012021-03-31㈜대건테크발전5사,한수원,한전KPS,대건테크,두중,지쓰리디팹,KAIST,생기연,한화에어로스페이스5777134.030000.0
67정부미래형 해상풍력발전시스템 GET-Future 연구센터[4단계]2018-09-012021-10-31울산대학교동서발전2111000.0120000.0
78정부10MW급 연소후 건식 CO2 포집기술 고도화 및 50톤/일 압축,액화 기술 개발2018-10-012021-09-30한국남부발전㈜동서, 한전, 남동, 중부, 서부, 로크한삼, 한국전력기술, KC코트렐25961078.0480000.0
89정부(총괄)재생에너지 이용 극대화를 위한 2MW급 Power-to-Gas 시스템 엔지니어링 기술 및 비즈니스 모델 개발2019-05-012022-04-30전력연구원동서,중부, 두산중공업,에이치앤파워, 지필로스, 한국선급, 고등기술연구원5874295.046500.0
910정부(1세부)재생에너지 이용 극대화를 위한 2MW급 하이브리드 수전해 그린 수소생산 및 저장 기술 개발2019-05-012022-04-30전력연구원동서, 중부, 수소에너젠, 엘켐텍, 에이치앤파어, 아크로랩스, 한국과학기술원, 한국에너지기술연구원, 한국기계연구원, 한국과학기술원, 동국대학교17292032.0455000.0
순번구분과제명연구시작일자연구종료일자주관기관참여기관총 연구비(천원)동서발전 분담금액(천원)
99100민관공동수직주행 솔바발전 건식 클리닝 로봇 및 이동식 도킹스테이션 개발2019-10-012021-09-30에코센스동서(수요기관)800000.0300000.0
100101민관공동석탄이송 슈트용 공진주파수 발생 석탄 부착방지 저감 장치 개발2020-10-202022-10-19에이치케이씨동서(수요기관)720000.0288000.0
101102민관공동발전설비 건전성 평가를 위한 PAUT 검사 시스템 및 인공지능 기반 결함 검출 알고리즘 개발2020-10-202022-10-19고려공업검사동서(수요기관)1000000.0394000.0
102103민관공동효율향상/고장예방-공기예열기 성능 최적관리를 위한 고성능 특수 카메라 및 시스템 개발2020-10-202022-10-19썬그린이엔씨동서(수요기관)878000.0390000.0
103104민관공동대형발전소 고압전동기 고신뢰 활선진단 시스템 국산화2020-10-202022-10-19O&M Korea동서(수요기관)796500.0354000.0
104105민관공동연료전지 시스템 연돌 백연 방지설비 개발2020-10-202022-10-19풍천엔지니어링동서(수요기관)499000.0220000.0
105106민관공동컨베이어 벨트 사행 방지 시스템 국산화 개발2020-10-202022-10-19대양롤랜트동서(수요기관)630000.0180000.0
106107민관공동발전소 해수 취수구 퇴적물 제거 장치 개발2020-10-202022-10-19케이텍플러스동서(수요기관)396000.0176000.0
107108민관공동발전소 취약개소 화재 조기경보용 초분광 센서 시스템 개발2020-10-202022-10-19무리기술동서(수요기관)774000.0344000.0
108109민관공동가상 발전소 구축을 위한 IoT 기반 분산자원 연계 시스템 개발2020-10-202022-10-19인코어드 테크놀로지스동서(수요기관)360000.0160000.0