Overview

Dataset statistics

Number of variables10
Number of observations146
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory83.9 B

Variable types

Numeric2
Categorical3
Text3
DateTime2

Dataset

Description국토교통R&D 과제의 최종평가정보(협약연도, 사업명, 과제명, 수행기관, 연구책임자, 평가점수, 평가결과) 제공
Author국토교통과학기술진흥원
URLhttps://www.data.go.kr/data/15060798/fileData.do

Alerts

협약연도 has constant value ""Constant
평가점수 is highly overall correlated with 평가결과High correlation
평가결과 is highly overall correlated with 평가점수High correlation
사업명 is highly imbalanced (63.7%)Imbalance
평가점수 has 2 (1.4%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:19:04.196832
Analysis finished2023-12-12 19:19:05.833445
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.5
Minimum1
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T04:19:05.936787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.25
Q137.25
median73.5
Q3109.75
95-th percentile138.75
Maximum146
Range145
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation42.290661
Coefficient of variation (CV)0.57538314
Kurtosis-1.2
Mean73.5
Median Absolute Deviation (MAD)36.5
Skewness0
Sum10731
Variance1788.5
MonotonicityStrictly increasing
2023-12-13T04:19:06.100595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
111 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
Other values (136) 136
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%

협약연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2021
146 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 146
100.0%

Length

2023-12-13T04:19:06.261340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:19:06.369515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 146
100.0%

사업명
Categorical

IMBALANCE 

Distinct10
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
국토교통기술촉진연구사업
116 
국토교통연구기획사업
16 
건설기술연구사업
 
3
교통물류연구
 
3
국토교통기술사업화지원
 
3
Other values (5)
 
5

Length

Max length17
Median length12
Mean length11.534247
Min length6

Unique

Unique5 ?
Unique (%)3.4%

Sample

1st row건설기술연구사업
2nd row건설기술연구사업
3rd row건설기술연구사업
4th row교통물류연구
5th row교통물류연구

Common Values

ValueCountFrequency (%)
국토교통기술촉진연구사업 116
79.5%
국토교통연구기획사업 16
 
11.0%
건설기술연구사업 3
 
2.1%
교통물류연구 3
 
2.1%
국토교통기술사업화지원 3
 
2.1%
무인비행체 안전지원 기술개발사업 1
 
0.7%
민수헬기인증개발사업 1
 
0.7%
주거환경연구사업 1
 
0.7%
치안과학기술연구개발사업 1
 
0.7%
항공안전기술개발사업 1
 
0.7%

Length

2023-12-13T04:19:06.473204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:19:06.605295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국토교통기술촉진연구사업 116
78.4%
국토교통연구기획사업 16
 
10.8%
건설기술연구사업 3
 
2.0%
교통물류연구 3
 
2.0%
국토교통기술사업화지원 3
 
2.0%
무인비행체 1
 
0.7%
안전지원 1
 
0.7%
기술개발사업 1
 
0.7%
민수헬기인증개발사업 1
 
0.7%
주거환경연구사업 1
 
0.7%
Other values (2) 2
 
1.4%

과제명
Text

Distinct143
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T04:19:06.917456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length62
Mean length45.157534
Min length18

Characters and Unicode

Total characters6593
Distinct characters465
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)95.9%

Sample

1st rowBIM 기반 도로·하천 시설물의 건설사업정보 통합관리기술 개발
2nd rowTBM 커터헤드 설계자동화 및 운전·제어시스템 개발
3rd row비탈면 대상 조사·점검 개선 및 보강시설 노후화 대응 기술 개발
4th row수소연료전지 자동차용 내압용기 및 부품의 금속/비금속 소재 안전사용 적합성 평가기술 개발
5th row철도 화물운송 서비스 향상을 위한 저진동, 충격방지 첨단 물류 기술 개발
ValueCountFrequency (%)
개발 115
 
7.3%
위한 60
 
3.8%
및 58
 
3.7%
기술 26
 
1.6%
시스템 23
 
1.5%
기반 19
 
1.2%
기획 16
 
1.0%
기술개발 12
 
0.8%
콘크리트 12
 
0.8%
미세먼지 11
 
0.7%
Other values (916) 1224
77.7%
2023-12-13T04:19:07.450351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1430
 
21.7%
기 168
 
2.5%
개 143
 
2.2%
발 139
 
2.1%
한 100
 
1.5%
지 93
 
1.4%
시 84
 
1.3%
위 70
 
1.1%
이 70
 
1.1%
도 68
 
1.0%
Other values (455) 4228
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4513
68.5%
Space Separator 1430
 
21.7%
Lowercase Letter 237
 
3.6%
Uppercase Letter 161
 
2.4%
Decimal Number 105
 
1.6%
Other Punctuation 65
 
1.0%
Close Punctuation 29
 
0.4%
Open Punctuation 29
 
0.4%
Dash Punctuation 17
 
0.3%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 168
 
3.7%
개 143
 
3.2%
발 139
 
3.1%
한 100
 
2.2%
지 93
 
2.1%
시 84
 
1.9%
위 70
 
1.6%
이 70
 
1.6%
도 68
 
1.5%
술 68
 
1.5%
Other values (385) 3510
77.8%
Lowercase Letter
ValueCountFrequency (%)
e 24
 
10.1%
a 23
 
9.7%
m 21
 
8.9%
r 17
 
7.2%
o 16
 
6.8%
i 15
 
6.3%
s 13
 
5.5%
t 12
 
5.1%
n 12
 
5.1%
c 10
 
4.2%
Other values (15) 74
31.2%
Uppercase Letter
ValueCountFrequency (%)
M 16
 
9.9%
C 15
 
9.3%
I 13
 
8.1%
T 12
 
7.5%
P 12
 
7.5%
D 11
 
6.8%
A 11
 
6.8%
O 8
 
5.0%
S 8
 
5.0%
F 7
 
4.3%
Other values (12) 48
29.8%
Decimal Number
ValueCountFrequency (%)
0 38
36.2%
5 19
18.1%
3 16
15.2%
1 9
 
8.6%
4 7
 
6.7%
9 6
 
5.7%
2 5
 
4.8%
7 2
 
1.9%
6 2
 
1.9%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 16
24.6%
% 14
21.5%
/ 14
21.5%
· 13
20.0%
. 5
 
7.7%
？ 3
 
4.6%
Math Symbol
ValueCountFrequency (%)
∼ 3
75.0%
± 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4513
68.5%
Common 1682
 
25.5%
Latin 396
 
6.0%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 168
 
3.7%
개 143
 
3.2%
발 139
 
3.1%
한 100
 
2.2%
지 93
 
2.1%
시 84
 
1.9%
위 70
 
1.6%
이 70
 
1.6%
도 68
 
1.5%
술 68
 
1.5%
Other values (385) 3510
77.8%
Latin
ValueCountFrequency (%)
e 24
 
6.1%
a 23
 
5.8%
m 21
 
5.3%
r 17
 
4.3%
M 16
 
4.0%
o 16
 
4.0%
C 15
 
3.8%
i 15
 
3.8%
s 13
 
3.3%
I 13
 
3.3%
Other values (36) 223
56.3%
Common
ValueCountFrequency (%)
1430
85.0%
0 38
 
2.3%
) 29
 
1.7%
( 29
 
1.7%
5 19
 
1.1%
- 17
 
1.0%
, 16
 
1.0%
3 16
 
1.0%
% 14
 
0.8%
/ 14
 
0.8%
Other values (13) 60
 
3.6%
Greek
ValueCountFrequency (%)
μ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4513
68.5%
ASCII 2055
31.2%
None 19
 
0.3%
Math Operators 3
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1430
69.6%
0 38
 
1.8%
) 29
 
1.4%
( 29
 
1.4%
e 24
 
1.2%
a 23
 
1.1%
m 21
 
1.0%
5 19
 
0.9%
- 17
 
0.8%
r 17
 
0.8%
Other values (54) 408
 
19.9%
Hangul
ValueCountFrequency (%)
기 168
 
3.7%
개 143
 
3.2%
발 139
 
3.1%
한 100
 
2.2%
지 93
 
2.1%
시 84
 
1.9%
위 70
 
1.6%
이 70
 
1.6%
도 68
 
1.5%
술 68
 
1.5%
Other values (385) 3510
77.8%
None
ValueCountFrequency (%)
· 13
68.4%
？ 3
 
15.8%
μ 2
 
10.5%
± 1
 
5.3%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%

수행기관
Date

Distinct8
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-01-01 00:00:00
Maximum2021-10-01 00:00:00
2023-12-13T04:19:07.582641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:19:07.677962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

연구책임자
Date

Distinct13
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-06-30 00:00:00
Maximum2022-06-13 00:00:00
2023-12-13T04:19:07.769970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:19:07.872558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

당해연도 연구 시작일
Text

Distinct95
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T04:19:08.070905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.273973
Min length4

Characters and Unicode

Total characters1500
Distinct characters169
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)47.3%

Sample

1st row한국건설기술연구원
2nd row한국건설기술연구원
3rd row한국건설기술연구원
4th row(재단)한국표준과학연구원
5th row한국철도기술연구원
ValueCountFrequency (%)
산학협력단 17
 
9.7%
한국철도기술연구원 8
 
4.5%
한국건설기술연구원 7
 
4.0%
성균관대학교산학협력단 4
 
2.3%
한양대학교 4
 
2.3%
에리카산학협력단 4
 
2.3%
금오공과대학교산학협력단 4
 
2.3%
경기대학교산학협력단 3
 
1.7%
주식회사 3
 
1.7%
한국교통대학교산학협력단 3
 
1.7%
Other values (92) 119
67.6%
2023-12-13T04:19:08.453215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 134
 
8.9%
단 79
 
5.3%
산 73
 
4.9%
교 72
 
4.8%
대 65
 
4.3%
협 65
 
4.3%
력 63
 
4.2%
( 48
 
3.2%
) 48
 
3.2%
한 47
 
3.1%
Other values (159) 806
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1374
91.6%
Open Punctuation 48
 
3.2%
Close Punctuation 48
 
3.2%
Space Separator 30
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 134
 
9.8%
단 79
 
5.7%
산 73
 
5.3%
교 72
 
5.2%
대 65
 
4.7%
협 65
 
4.7%
력 63
 
4.6%
한 47
 
3.4%
국 46
 
3.3%
원 40
 
2.9%
Other values (156) 690
50.2%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1374
91.6%
Common 126
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 134
 
9.8%
단 79
 
5.7%
산 73
 
5.3%
교 72
 
5.2%
대 65
 
4.7%
협 65
 
4.7%
력 63
 
4.6%
한 47
 
3.4%
국 46
 
3.3%
원 40
 
2.9%
Other values (156) 690
50.2%
Common
ValueCountFrequency (%)
( 48
38.1%
) 48
38.1%
30
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1374
91.6%
ASCII 126
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 134
 
9.8%
단 79
 
5.7%
산 73
 
5.3%
교 72
 
5.2%
대 65
 
4.7%
협 65
 
4.7%
력 63
 
4.6%
한 47
 
3.4%
국 46
 
3.3%
원 40
 
2.9%
Other values (156) 690
50.2%
ASCII
ValueCountFrequency (%)
( 48
38.1%
) 48
38.1%
30
23.8%

당해연도 연구 종료일
Text

Distinct141
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T04:19:08.796711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.0136986
Min length2

Characters and Unicode

Total characters440
Distinct characters121
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)93.8%

Sample

1st row주기범
2nd row장수호
3rd row권오일
4th row백운봉
5th row장승호
ValueCountFrequency (%)
김영민 3
 
2.0%
박대욱 2
 
1.4%
정원석 2
 
1.4%
강석표 2
 
1.4%
이성원 1
 
0.7%
kim 1
 
0.7%
ji 1
 
0.7%
won 1
 
0.7%
양일승 1
 
0.7%
김용남 1
 
0.7%
Other values (133) 133
89.9%
2023-12-13T04:19:09.279612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 29
 
6.6%
이 19
 
4.3%
박 13
 
3.0%
석 12
 
2.7%
성 11
 
2.5%
호 11
 
2.5%
정 11
 
2.5%
원 10
 
2.3%
상 10
 
2.3%
준 9
 
2.0%
Other values (111) 305
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 430
97.7%
Uppercase Letter 8
 
1.8%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 29
 
6.7%
이 19
 
4.4%
박 13
 
3.0%
석 12
 
2.8%
성 11
 
2.6%
호 11
 
2.6%
정 11
 
2.6%
원 10
 
2.3%
상 10
 
2.3%
준 9
 
2.1%
Other values (103) 295
68.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
25.0%
N 1
12.5%
M 1
12.5%
J 1
12.5%
W 1
12.5%
O 1
12.5%
K 1
12.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 430
97.7%
Latin 8
 
1.8%
Common 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 29
 
6.7%
이 19
 
4.4%
박 13
 
3.0%
석 12
 
2.8%
성 11
 
2.6%
호 11
 
2.6%
정 11
 
2.6%
원 10
 
2.3%
상 10
 
2.3%
준 9
 
2.1%
Other values (103) 295
68.6%
Latin
ValueCountFrequency (%)
I 2
25.0%
N 1
12.5%
M 1
12.5%
J 1
12.5%
W 1
12.5%
O 1
12.5%
K 1
12.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 430
97.7%
ASCII 10
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 29
 
6.7%
이 19
 
4.4%
박 13
 
3.0%
석 12
 
2.8%
성 11
 
2.6%
호 11
 
2.6%
정 11
 
2.6%
원 10
 
2.3%
상 10
 
2.3%
준 9
 
2.1%
Other values (103) 295
68.6%
ASCII
ValueCountFrequency (%)
2
20.0%
I 2
20.0%
N 1
10.0%
M 1
10.0%
J 1
10.0%
W 1
10.0%
O 1
10.0%
K 1
10.0%

평가점수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct98
Distinct (%)68.1%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean75.335764
Minimum61.6
Maximum90.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T04:19:09.424916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.6
5-th percentile64.5255
Q170.8675
median76.2
Q380
95-th percentile83.485
Maximum90.4
Range28.8
Interquartile range (IQR)9.1325

Descriptive statistics

Standard deviation6.0546558
Coefficient of variation (CV)0.080368944
Kurtosis-0.53036439
Mean75.335764
Median Absolute Deviation (MAD)4.575
Skewness-0.27916271
Sum10848.35
Variance36.658857
MonotonicityNot monotonic
2023-12-13T04:19:09.560607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.0 7
 
4.8%
81.0 5
 
3.4%
80.0 4
 
2.7%
74.0 4
 
2.7%
68.0 4
 
2.7%
75.0 4
 
2.7%
82.0 3
 
2.1%
71.67 2
 
1.4%
77.6 2
 
1.4%
82.8 2
 
1.4%
Other values (88) 107
73.3%
ValueCountFrequency (%)
61.6 1
0.7%
62.0 1
0.7%
62.2 1
0.7%
62.25 1
0.7%
62.67 1
0.7%
64.0 1
0.7%
64.4 1
0.7%
64.5 1
0.7%
64.67 1
0.7%
65.6 1
0.7%
ValueCountFrequency (%)
90.4 1
0.7%
86.4 1
0.7%
86.2 1
0.7%
85.75 1
0.7%
85.6 1
0.7%
84.4 2
1.4%
83.5 1
0.7%
83.4 1
0.7%
83.2 2
1.4%
83.0 1
0.7%

평가결과
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
보통
103 
우수
38 
성공
 
3
<NA>
 
2

Length

Max length4
Median length2
Mean length2.0273973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보통
2nd row우수
3rd row우수
4th row보통
5th row보통

Common Values

ValueCountFrequency (%)
보통 103
70.5%
우수 38
 
26.0%
성공 3
 
2.1%
<NA> 2
 
1.4%

Length

2023-12-13T04:19:09.705470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:19:09.823908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보통 103
70.5%
우수 38
 
26.0%
성공 3
 
2.1%
na 2
 
1.4%

Interactions

2023-12-13T04:19:05.340491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:19:05.084372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:19:05.448629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:19:05.227561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:19:09.909194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업명수행기관연구책임자당해연도 연구 시작일평가점수평가결과
순번1.0000.7540.4260.4590.6060.2350.000
사업명0.7541.0000.5400.8180.9290.1820.673
수행기관0.4260.5401.0000.9610.0000.1130.000
연구책임자0.4590.8180.9611.0000.0000.3900.928
당해연도 연구 시작일0.6060.9290.0000.0001.0000.5300.000
평가점수0.2350.1820.1130.3900.5301.0000.857
평가결과0.0000.6730.0000.9280.0000.8571.000
2023-12-13T04:19:10.015910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업명평가결과
사업명1.0000.376
평가결과0.3761.000
2023-12-13T04:19:10.112646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번평가점수사업명평가결과
순번1.000-0.0270.3250.000
평가점수-0.0271.0000.0800.759
사업명0.3250.0801.0000.376
평가결과0.0000.7590.3761.000

Missing values

2023-12-13T04:19:05.599771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:19:05.765696image/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

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