Overview

Dataset statistics

Number of variables7
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory59.2 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description국토교통R&D 과제를 통해서 발생한 포상에 대한 과제명, 포상명, 포상기관, 포상자 수, 포상 일자에 대한 정보를 제공합니다.
Author국토교통과학기술진흥원
URLhttps://www.data.go.kr/data/15036017/fileData.do

Alerts

국내외구분 is highly imbalanced (64.7%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:22:46.677141
Analysis finished2023-12-12 09:22:47.798652
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T18:22:47.881736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-12T18:22:48.097950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

과제명
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:22:48.391838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length47
Mean length36.183333
Min length14

Characters and Unicode

Total characters2171
Distinct characters317
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)73.3%

Sample

1st row공정 효율화 의사결정 기술 및 동적 위험성 진단 평가 기술 개발
2nd row동적 능동 화재 발생 및 피난상황 대응 설비 제어 기술 개발
3rd row케이블교량 재난 위험도 평가 및 레질리언스 확보기술 개발
4th rowEMP 차폐 금속용사 재료 및 용사코팅 기술 개발
5th row노후 교각의 내진성능평가 기술 개발
ValueCountFrequency (%)
개발 47
 
8.9%
및 28
 
5.3%
기술 19
 
3.6%
기반 14
 
2.7%
위한 14
 
2.7%
시스템 7
 
1.3%
실증 5
 
0.9%
플랜트 5
 
0.9%
자동화 5
 
0.9%
평가 4
 
0.8%
Other values (300) 379
71.9%
2023-12-12T18:22:48.882034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
467
 
21.5%
발 60
 
2.8%
기 60
 
2.8%
개 56
 
2.6%
술 31
 
1.4%
및 28
 
1.3%
시 27
 
1.2%
스 24
 
1.1%
용 23
 
1.1%
한 23
 
1.1%
Other values (307) 1372
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1498
69.0%
Space Separator 467
 
21.5%
Uppercase Letter 73
 
3.4%
Lowercase Letter 64
 
2.9%
Decimal Number 21
 
1.0%
Other Punctuation 18
 
0.8%
Open Punctuation 9
 
0.4%
Dash Punctuation 9
 
0.4%
Close Punctuation 9
 
0.4%
Connector Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 60
 
4.0%
기 60
 
4.0%
개 56
 
3.7%
술 31
 
2.1%
및 28
 
1.9%
시 27
 
1.8%
스 24
 
1.6%
용 23
 
1.5%
한 23
 
1.5%
지 22
 
1.5%
Other values (252) 1144
76.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
15.6%
a 7
10.9%
i 6
9.4%
l 5
7.8%
o 5
7.8%
m 5
7.8%
t 4
 
6.2%
s 4
 
6.2%
h 4
 
6.2%
k 2
 
3.1%
Other values (8) 12
18.8%
Uppercase Letter
ValueCountFrequency (%)
I 9
12.3%
T 7
9.6%
M 7
9.6%
C 6
 
8.2%
S 6
 
8.2%
D 6
 
8.2%
P 5
 
6.8%
W 4
 
5.5%
O 4
 
5.5%
A 3
 
4.1%
Other values (8) 16
21.9%
Other Punctuation
ValueCountFrequency (%)
, 6
33.3%
/ 4
22.2%
# 3
16.7%
: 2
 
11.1%
. 1
 
5.6%
% 1
 
5.6%
· 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 5
23.8%
2 4
19.0%
6 4
19.0%
3 3
14.3%
1 2
 
9.5%
4 2
 
9.5%
5 1
 
4.8%
Space Separator
ValueCountFrequency (%)
467
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1498
69.0%
Common 536
 
24.7%
Latin 137
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 60
 
4.0%
기 60
 
4.0%
개 56
 
3.7%
술 31
 
2.1%
및 28
 
1.9%
시 27
 
1.8%
스 24
 
1.6%
용 23
 
1.5%
한 23
 
1.5%
지 22
 
1.5%
Other values (252) 1144
76.4%
Latin
ValueCountFrequency (%)
e 10
 
7.3%
I 9
 
6.6%
a 7
 
5.1%
T 7
 
5.1%
M 7
 
5.1%
i 6
 
4.4%
C 6
 
4.4%
S 6
 
4.4%
D 6
 
4.4%
P 5
 
3.6%
Other values (26) 68
49.6%
Common
ValueCountFrequency (%)
467
87.1%
( 9
 
1.7%
- 9
 
1.7%
) 9
 
1.7%
, 6
 
1.1%
0 5
 
0.9%
2 4
 
0.7%
/ 4
 
0.7%
6 4
 
0.7%
# 3
 
0.6%
Other values (9) 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1498
69.0%
ASCII 672
31.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
467
69.5%
e 10
 
1.5%
I 9
 
1.3%
( 9
 
1.3%
- 9
 
1.3%
) 9
 
1.3%
a 7
 
1.0%
T 7
 
1.0%
M 7
 
1.0%
, 6
 
0.9%
Other values (44) 132
 
19.6%
Hangul
ValueCountFrequency (%)
발 60
 
4.0%
기 60
 
4.0%
개 56
 
3.7%
술 31
 
2.1%
및 28
 
1.9%
시 27
 
1.8%
스 24
 
1.6%
용 23
 
1.5%
한 23
 
1.5%
지 22
 
1.5%
Other values (252) 1144
76.4%
None
ValueCountFrequency (%)
· 1
100.0%

국내외구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
국내
56 
국외
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내
2nd row국내
3rd row국내
4th row국외
5th row국내

Common Values

ValueCountFrequency (%)
국내 56
93.3%
국외 4
 
6.7%

Length

2023-12-12T18:22:49.053094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:22:49.202113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 56
93.3%
국외 4
 
6.7%

포상명
Text

Distinct45
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:22:49.557578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length12.516667
Min length3

Characters and Unicode

Total characters751
Distinct characters134
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)65.0%

Sample

1st row우수포스터발표상
2nd row전자IT유공자포상
3rd row우수논문 발표상
4th rowBEST TECHNICAL PAPER
5th row논문상
ValueCountFrequency (%)
우수논문상 9
 
6.2%
2021 8
 
5.5%
우수발표논문상 5
 
3.4%
표창장 4
 
2.7%
장려상 4
 
2.7%
표창 4
 
2.7%
2021년 4
 
2.7%
best 3
 
2.1%
최우수상 3
 
2.1%
논문 3
 
2.1%
Other values (78) 99
67.8%
2023-12-12T18:22:50.119768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
11.5%
상 46
 
6.1%
수 38
 
5.1%
우 37
 
4.9%
문 26
 
3.5%
논 25
 
3.3%
2 24
 
3.2%
표 19
 
2.5%
회 17
 
2.3%
1 16
 
2.1%
Other values (124) 417
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
68.7%
Space Separator 86
 
11.5%
Decimal Number 59
 
7.9%
Lowercase Letter 47
 
6.3%
Uppercase Letter 34
 
4.5%
Other Punctuation 4
 
0.5%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 46
 
8.9%
수 38
 
7.4%
우 37
 
7.2%
문 26
 
5.0%
논 25
 
4.8%
표 19
 
3.7%
회 17
 
3.3%
학 15
 
2.9%
발 15
 
2.9%
대 14
 
2.7%
Other values (86) 264
51.2%
Lowercase Letter
ValueCountFrequency (%)
e 8
17.0%
a 6
12.8%
t 5
10.6%
r 5
10.6%
p 4
8.5%
s 3
 
6.4%
l 3
 
6.4%
c 3
 
6.4%
n 2
 
4.3%
d 2
 
4.3%
Other values (5) 6
12.8%
Uppercase Letter
ValueCountFrequency (%)
E 7
20.6%
C 5
14.7%
D 3
8.8%
B 3
8.8%
T 3
8.8%
P 3
8.8%
A 3
8.8%
I 2
 
5.9%
S 1
 
2.9%
H 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
2 24
40.7%
1 16
27.1%
0 15
25.4%
3 3
 
5.1%
4 1
 
1.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Other Punctuation
ValueCountFrequency (%)
' 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
68.7%
Common 154
 
20.5%
Latin 81
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 46
 
8.9%
수 38
 
7.4%
우 37
 
7.2%
문 26
 
5.0%
논 25
 
4.8%
표 19
 
3.7%
회 17
 
3.3%
학 15
 
2.9%
발 15
 
2.9%
대 14
 
2.7%
Other values (86) 264
51.2%
Latin
ValueCountFrequency (%)
e 8
 
9.9%
E 7
 
8.6%
a 6
 
7.4%
t 5
 
6.2%
r 5
 
6.2%
C 5
 
6.2%
p 4
 
4.9%
D 3
 
3.7%
B 3
 
3.7%
T 3
 
3.7%
Other values (18) 32
39.5%
Common
ValueCountFrequency (%)
86
55.8%
2 24
 
15.6%
1 16
 
10.4%
0 15
 
9.7%
' 4
 
2.6%
3 3
 
1.9%
) 2
 
1.3%
( 2
 
1.3%
- 1
 
0.6%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
68.7%
ASCII 235
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
36.6%
2 24
 
10.2%
1 16
 
6.8%
0 15
 
6.4%
e 8
 
3.4%
E 7
 
3.0%
a 6
 
2.6%
t 5
 
2.1%
r 5
 
2.1%
C 5
 
2.1%
Other values (28) 58
24.7%
Hangul
ValueCountFrequency (%)
상 46
 
8.9%
수 38
 
7.4%
우 37
 
7.2%
문 26
 
5.0%
논 25
 
4.8%
표 19
 
3.7%
회 17
 
3.3%
학 15
 
2.9%
발 15
 
2.9%
대 14
 
2.7%
Other values (86) 264
51.2%

포상기관
Text

Distinct44
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:22:50.440248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length14
Mean length9.5333333
Min length4

Characters and Unicode

Total characters572
Distinct characters129
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)55.0%

Sample

1st row한국화학공학회
2nd row산업통상자원부
3rd row(사) 한국콘크리트학회
4th rowHenan University
5th row(사)한국복합신소재구조학회
ValueCountFrequency (%)
항공우주시스템공학회 4
 
5.6%
과학기술정보통신부 3
 
4.2%
국토교통부 3
 
4.2%
산업통상자원부 3
 
4.2%
한국cde학회 3
 
4.2%
한국과학기술단체총연합회 2
 
2.8%
한국콘크리트학회 2
 
2.8%
대한건축학회 2
 
2.8%
한국방재학회 2
 
2.8%
university 2
 
2.8%
Other values (43) 46
63.9%
2023-12-12T18:22:50.870610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 39
 
6.8%
회 35
 
6.1%
국 35
 
6.1%
한 34
 
5.9%
e 15
 
2.6%
공 15
 
2.6%
기 14
 
2.4%
부 12
 
2.1%
12
 
2.1%
통 12
 
2.1%
Other values (119) 349
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
78.8%
Lowercase Letter 75
 
13.1%
Uppercase Letter 18
 
3.1%
Space Separator 12
 
2.1%
Close Punctuation 6
 
1.0%
Open Punctuation 6
 
1.0%
Decimal Number 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 39
 
8.6%
회 35
 
7.8%
국 35
 
7.8%
한 34
 
7.5%
공 15
 
3.3%
기 14
 
3.1%
부 12
 
2.7%
통 12
 
2.7%
원 11
 
2.4%
술 11
 
2.4%
Other values (85) 233
51.7%
Lowercase Letter
ValueCountFrequency (%)
e 15
20.0%
n 11
14.7%
r 8
10.7%
i 6
 
8.0%
a 5
 
6.7%
t 4
 
5.3%
y 4
 
5.3%
s 4
 
5.3%
b 3
 
4.0%
o 3
 
4.0%
Other values (9) 12
16.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
22.2%
E 3
16.7%
D 3
16.7%
H 2
11.1%
U 2
11.1%
K 1
 
5.6%
R 1
 
5.6%
O 1
 
5.6%
N 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
0 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
78.8%
Latin 93
 
16.3%
Common 28
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 39
 
8.6%
회 35
 
7.8%
국 35
 
7.8%
한 34
 
7.5%
공 15
 
3.3%
기 14
 
3.1%
부 12
 
2.7%
통 12
 
2.7%
원 11
 
2.4%
술 11
 
2.4%
Other values (85) 233
51.7%
Latin
ValueCountFrequency (%)
e 15
16.1%
n 11
 
11.8%
r 8
 
8.6%
i 6
 
6.5%
a 5
 
5.4%
t 4
 
4.3%
y 4
 
4.3%
s 4
 
4.3%
C 4
 
4.3%
E 3
 
3.2%
Other values (18) 29
31.2%
Common
ValueCountFrequency (%)
12
42.9%
) 6
21.4%
( 6
21.4%
2 2
 
7.1%
0 1
 
3.6%
1 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
78.8%
ASCII 121
 
21.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 39
 
8.6%
회 35
 
7.8%
국 35
 
7.8%
한 34
 
7.5%
공 15
 
3.3%
기 14
 
3.1%
부 12
 
2.7%
통 12
 
2.7%
원 11
 
2.4%
술 11
 
2.4%
Other values (85) 233
51.7%
ASCII
ValueCountFrequency (%)
e 15
 
12.4%
12
 
9.9%
n 11
 
9.1%
r 8
 
6.6%
) 6
 
5.0%
i 6
 
5.0%
( 6
 
5.0%
a 5
 
4.1%
t 4
 
3.3%
y 4
 
3.3%
Other values (24) 44
36.4%

포상자명
Text

Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T18:22:51.214895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length30
Mean length17.933333
Min length3

Characters and Unicode

Total characters1076
Distinct characters188
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)90.0%

Sample

1st row정영운, 김형준, 전경관, 김연수 (광운대학교)
2nd row문승욱 산업통상자원부장관
3rd row김경민(서울대학교)
4th rowjongmin jang, hanseung lee
5th row홍기증
ValueCountFrequency (%)
회장 4
 
2.4%
산학협력단 4
 
2.4%
4
 
2.4%
주식회사 3
 
1.8%
김현식 2
 
1.2%
이아진 2
 
1.2%
이영찬 2
 
1.2%
김승권 2
 
1.2%
최중식 2
 
1.2%
김인한 2
 
1.2%
Other values (126) 138
83.6%
2023-12-12T18:22:51.698950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
10.1%
, 72
 
6.7%
학 37
 
3.4%
( 35
 
3.3%
) 35
 
3.3%
원 27
 
2.5%
김 26
 
2.4%
대 25
 
2.3%
교 25
 
2.3%
이 25
 
2.3%
Other values (178) 660
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
73.7%
Space Separator 109
 
10.1%
Other Punctuation 81
 
7.5%
Open Punctuation 35
 
3.3%
Close Punctuation 35
 
3.3%
Lowercase Letter 22
 
2.0%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 37
 
4.7%
원 27
 
3.4%
김 26
 
3.3%
대 25
 
3.2%
교 25
 
3.2%
이 25
 
3.2%
한 21
 
2.6%
국 18
 
2.3%
기 16
 
2.0%
주 15
 
1.9%
Other values (158) 558
70.4%
Lowercase Letter
ValueCountFrequency (%)
n 5
22.7%
e 3
13.6%
g 3
13.6%
a 2
 
9.1%
j 2
 
9.1%
l 1
 
4.5%
u 1
 
4.5%
s 1
 
4.5%
h 1
 
4.5%
i 1
 
4.5%
Other values (2) 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 72
88.9%
/ 4
 
4.9%
; 3
 
3.7%
: 2
 
2.5%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 794
73.8%
Common 260
 
24.2%
Latin 22
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 37
 
4.7%
원 27
 
3.4%
김 26
 
3.3%
대 25
 
3.1%
교 25
 
3.1%
이 25
 
3.1%
한 21
 
2.6%
국 18
 
2.3%
기 16
 
2.0%
주 15
 
1.9%
Other values (159) 559
70.4%
Latin
ValueCountFrequency (%)
n 5
22.7%
e 3
13.6%
g 3
13.6%
a 2
 
9.1%
j 2
 
9.1%
l 1
 
4.5%
u 1
 
4.5%
s 1
 
4.5%
h 1
 
4.5%
i 1
 
4.5%
Other values (2) 2
 
9.1%
Common
ValueCountFrequency (%)
109
41.9%
, 72
27.7%
( 35
 
13.5%
) 35
 
13.5%
/ 4
 
1.5%
; 3
 
1.2%
: 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 793
73.7%
ASCII 282
 
26.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
38.7%
, 72
25.5%
( 35
 
12.4%
) 35
 
12.4%
n 5
 
1.8%
/ 4
 
1.4%
; 3
 
1.1%
e 3
 
1.1%
g 3
 
1.1%
a 2
 
0.7%
Other values (9) 11
 
3.9%
Hangul
ValueCountFrequency (%)
학 37
 
4.7%
원 27
 
3.4%
김 26
 
3.3%
대 25
 
3.2%
교 25
 
3.2%
이 25
 
3.2%
한 21
 
2.6%
국 18
 
2.3%
기 16
 
2.0%
주 15
 
1.9%
Other values (158) 558
70.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

포상일자
Date

Distinct33
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2021-08-10 00:00:00
Maximum2022-04-28 00:00:00
2023-12-12T18:22:51.874427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:22:52.020062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

Interactions

2023-12-12T18:22:47.424593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:22:52.132937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제명국내외구분포상명포상기관포상자명포상일자
번호1.0000.9840.0000.6420.6590.9350.628
과제명0.9841.0000.0000.9110.9560.9970.898
국내외구분0.0000.0001.0001.0001.0000.0001.000
포상명0.6420.9111.0001.0000.8210.8250.944
포상기관0.6590.9561.0000.8211.0000.9940.980
포상자명0.9350.9970.0000.8250.9941.0000.988
포상일자0.6280.8981.0000.9440.9800.9881.000
2023-12-12T18:22:52.265189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호국내외구분
번호1.0000.000
국내외구분0.0001.000

Missing values

2023-12-12T18:22:47.583606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:22:47.744310image/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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12동적 능동 화재 발생 및 피난상황 대응 설비 제어 기술 개발국내전자IT유공자포상산업통상자원부문승욱 산업통상자원부장관2021-10-26
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