Overview

Dataset statistics

Number of variables6
Number of observations63
Missing cells6
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory50.1 B

Variable types

Text5
DateTime1

Dataset

Description한국건강증진개발원과의 협력 기관정보- 협약명(국/영), 협약기관(국/영), 체결일자, URL 등의 정보를 제공합니다.
Author한국건강증진개발원
URLhttps://www.data.go.kr/data/15042455/fileData.do

Alerts

협약명(영문) has 2 (3.2%) missing valuesMissing
협약기관(영문) has 1 (1.6%) missing valuesMissing
바로가기 has 3 (4.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:40:02.705053
Analysis finished2023-12-12 08:40:03.730934
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

협약명(국문)
Text

Distinct56
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T17:40:03.956785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length30
Mean length19.619048
Min length5

Characters and Unicode

Total characters1236
Distinct characters185
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)81.0%

Sample

1st row재해 예방 및 안전 문화 확산
2nd row지속가능한 사회적 책임과 가치 실현을 위한 사회적 경제 활성화
3rd row사회적 책임을 위한 자원순환
4th row노후생활 활성화 및 기관 간 교류와 협력
5th row환경과 금연 분야 협업
ValueCountFrequency (%)
및 41
 
12.6%
건강증진 18
 
5.5%
확산 18
 
5.5%
건강문화 14
 
4.3%
향상 12
 
3.7%
건강수준 11
 
3.4%
위한 8
 
2.5%
국민 7
 
2.1%
협력 6
 
1.8%
발굴 6
 
1.8%
Other values (136) 185
56.7%
2023-12-12T17:40:04.497329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
22.0%
건 64
 
5.2%
강 61
 
4.9%
및 41
 
3.3%
진 31
 
2.5%
증 29
 
2.3%
화 29
 
2.3%
문 27
 
2.2%
상 24
 
1.9%
연 20
 
1.6%
Other values (175) 638
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 918
74.3%
Space Separator 272
 
22.0%
Lowercase Letter 29
 
2.3%
Uppercase Letter 10
 
0.8%
Other Punctuation 5
 
0.4%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 64
 
7.0%
강 61
 
6.6%
및 41
 
4.5%
진 31
 
3.4%
증 29
 
3.2%
화 29
 
3.2%
문 27
 
2.9%
상 24
 
2.6%
연 20
 
2.2%
산 19
 
2.1%
Other values (149) 573
62.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.8%
r 4
13.8%
s 3
10.3%
o 3
10.3%
a 2
6.9%
i 2
6.9%
d 2
6.9%
b 2
6.9%
l 2
6.9%
t 1
 
3.4%
Other values (4) 4
13.8%
Uppercase Letter
ValueCountFrequency (%)
G 2
20.0%
P 1
10.0%
T 1
10.0%
C 1
10.0%
I 1
10.0%
A 1
10.0%
F 1
10.0%
S 1
10.0%
E 1
10.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Other Punctuation
ValueCountFrequency (%)
· 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 918
74.3%
Common 279
 
22.6%
Latin 39
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 64
 
7.0%
강 61
 
6.6%
및 41
 
4.5%
진 31
 
3.4%
증 29
 
3.2%
화 29
 
3.2%
문 27
 
2.9%
상 24
 
2.6%
연 20
 
2.2%
산 19
 
2.1%
Other values (149) 573
62.4%
Latin
ValueCountFrequency (%)
e 4
 
10.3%
r 4
 
10.3%
s 3
 
7.7%
o 3
 
7.7%
G 2
 
5.1%
a 2
 
5.1%
i 2
 
5.1%
d 2
 
5.1%
b 2
 
5.1%
l 2
 
5.1%
Other values (13) 13
33.3%
Common
ValueCountFrequency (%)
272
97.5%
· 5
 
1.8%
- 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 917
74.2%
ASCII 313
 
25.3%
None 5
 
0.4%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
86.9%
e 4
 
1.3%
r 4
 
1.3%
s 3
 
1.0%
o 3
 
1.0%
- 2
 
0.6%
G 2
 
0.6%
a 2
 
0.6%
i 2
 
0.6%
d 2
 
0.6%
Other values (15) 17
 
5.4%
Hangul
ValueCountFrequency (%)
건 64
 
7.0%
강 61
 
6.7%
및 41
 
4.5%
진 31
 
3.4%
증 29
 
3.2%
화 29
 
3.2%
문 27
 
2.9%
상 24
 
2.6%
연 20
 
2.2%
산 19
 
2.1%
Other values (148) 572
62.4%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

협약명(영문)
Text

MISSING 

Distinct49
Distinct (%)80.3%
Missing2
Missing (%)3.2%
Memory size636.0 B
2023-12-12T17:40:04.885794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length73
Mean length47.606557
Min length11

Characters and Unicode

Total characters2904
Distinct characters102
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)72.1%

Sample

1st row재해 예방 및 안전 문화 확산
2nd row지속가능한 사회적 책임과 가치 실현을 위한 사회적 경제 활성화
3rd row사회적 책임을 위한 자원순환
4th row1.23457E+59
5th row광진구 지역경제 활성화를 위한 업무협약
ValueCountFrequency (%)
health 41
 
10.3%
and 41
 
10.3%
promotion 35
 
8.8%
environment 19
 
4.8%
healthy 16
 
4.0%
of 15
 
3.8%
cooperation 10
 
2.5%
exchange 8
 
2.0%
the 8
 
2.0%
mutual 8
 
2.0%
Other values (128) 197
49.5%
2023-12-12T17:40:05.529580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
11.9%
o 266
 
9.2%
e 252
 
8.7%
n 245
 
8.4%
t 209
 
7.2%
a 202
 
7.0%
i 164
 
5.6%
r 149
 
5.1%
l 112
 
3.9%
h 111
 
3.8%
Other values (92) 849
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2301
79.2%
Space Separator 345
 
11.9%
Uppercase Letter 166
 
5.7%
Other Letter 66
 
2.3%
Dash Punctuation 9
 
0.3%
Other Punctuation 8
 
0.3%
Decimal Number 8
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 4
 
6.1%
화 3
 
4.5%
적 3
 
4.5%
회 3
 
4.5%
사 3
 
4.5%
위 3
 
4.5%
지 2
 
3.0%
임 2
 
3.0%
책 2
 
3.0%
가 2
 
3.0%
Other values (34) 39
59.1%
Lowercase Letter
ValueCountFrequency (%)
o 266
11.6%
e 252
11.0%
n 245
10.6%
t 209
9.1%
a 202
8.8%
i 164
 
7.1%
r 149
 
6.5%
l 112
 
4.9%
h 111
 
4.8%
m 96
 
4.2%
Other values (15) 495
21.5%
Uppercase Letter
ValueCountFrequency (%)
H 41
24.7%
P 34
20.5%
E 16
 
9.6%
M 13
 
7.8%
R 10
 
6.0%
N 9
 
5.4%
F 6
 
3.6%
C 6
 
3.6%
S 6
 
3.6%
A 5
 
3.0%
Other values (10) 20
12.0%
Decimal Number
ValueCountFrequency (%)
5 2
25.0%
1 1
12.5%
2 1
12.5%
3 1
12.5%
4 1
12.5%
7 1
12.5%
9 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
37.5%
& 3
37.5%
' 2
25.0%
Space Separator
ValueCountFrequency (%)
345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2467
85.0%
Common 371
 
12.8%
Hangul 66
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 266
10.8%
e 252
 
10.2%
n 245
 
9.9%
t 209
 
8.5%
a 202
 
8.2%
i 164
 
6.6%
r 149
 
6.0%
l 112
 
4.5%
h 111
 
4.5%
m 96
 
3.9%
Other values (35) 661
26.8%
Hangul
ValueCountFrequency (%)
한 4
 
6.1%
화 3
 
4.5%
적 3
 
4.5%
회 3
 
4.5%
사 3
 
4.5%
위 3
 
4.5%
지 2
 
3.0%
임 2
 
3.0%
책 2
 
3.0%
가 2
 
3.0%
Other values (34) 39
59.1%
Common
ValueCountFrequency (%)
345
93.0%
- 9
 
2.4%
. 3
 
0.8%
& 3
 
0.8%
' 2
 
0.5%
5 2
 
0.5%
1 1
 
0.3%
2 1
 
0.3%
3 1
 
0.3%
4 1
 
0.3%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2838
97.7%
Hangul 66
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
12.2%
o 266
 
9.4%
e 252
 
8.9%
n 245
 
8.6%
t 209
 
7.4%
a 202
 
7.1%
i 164
 
5.8%
r 149
 
5.3%
l 112
 
3.9%
h 111
 
3.9%
Other values (48) 783
27.6%
Hangul
ValueCountFrequency (%)
한 4
 
6.1%
화 3
 
4.5%
적 3
 
4.5%
회 3
 
4.5%
사 3
 
4.5%
위 3
 
4.5%
지 2
 
3.0%
임 2
 
3.0%
책 2
 
3.0%
가 2
 
3.0%
Other values (34) 39
59.1%

협약기관(국문)
Text

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-12T17:40:05.819649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length13
Mean length9.6984127
Min length4

Characters and Unicode

Total characters611
Distinct characters184
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

Unique59 ?
Unique (%)93.7%

Sample

1st row재난안전위기관리협회
2nd row서울시 사회적경제지원센터
3rd row다함사회적협동조합
4th row다자간 업무협약
5th row(재) 숲과나눔
ValueCountFrequency (%)
다자간 2
 
2.2%
식품의약품안전처 2
 
2.2%
업무협약 2
 
2.2%
안전보건공단 2
 
2.2%
서울시 2
 
2.2%
대한민국의학한림원 1
 
1.1%
대한의사협회 1
 
1.1%
경인tv 1
 
1.1%
obs 1
 
1.1%
을지대학교 1
 
1.1%
Other values (76) 76
83.5%
2023-12-12T17:40:06.253536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 29
 
4.7%
28
 
4.6%
국 24
 
3.9%
회 21
 
3.4%
학 18
 
2.9%
대 18
 
2.9%
보 14
 
2.3%
건 13
 
2.1%
의 12
 
2.0%
협 12
 
2.0%
Other values (174) 422
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
79.1%
Lowercase Letter 52
 
8.5%
Uppercase Letter 30
 
4.9%
Space Separator 28
 
4.6%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Math Symbol 2
 
0.3%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 29
 
6.0%
국 24
 
5.0%
회 21
 
4.3%
학 18
 
3.7%
대 18
 
3.7%
보 14
 
2.9%
건 13
 
2.7%
의 12
 
2.5%
협 12
 
2.5%
사 11
 
2.3%
Other values (136) 311
64.4%
Lowercase Letter
ValueCountFrequency (%)
t 7
13.5%
n 6
11.5%
a 5
9.6%
i 5
9.6%
o 4
 
7.7%
e 4
 
7.7%
r 3
 
5.8%
h 3
 
5.8%
s 3
 
5.8%
l 2
 
3.8%
Other values (7) 10
19.2%
Uppercase Letter
ValueCountFrequency (%)
T 5
16.7%
K 3
10.0%
S 3
10.0%
B 3
10.0%
V 3
10.0%
I 2
 
6.7%
H 2
 
6.7%
M 2
 
6.7%
E 2
 
6.7%
O 1
 
3.3%
Other values (4) 4
13.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
79.1%
Latin 82
 
13.4%
Common 46
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 29
 
6.0%
국 24
 
5.0%
회 21
 
4.3%
학 18
 
3.7%
대 18
 
3.7%
보 14
 
2.9%
건 13
 
2.7%
의 12
 
2.5%
협 12
 
2.5%
사 11
 
2.3%
Other values (136) 311
64.4%
Latin
ValueCountFrequency (%)
t 7
 
8.5%
n 6
 
7.3%
T 5
 
6.1%
a 5
 
6.1%
i 5
 
6.1%
o 4
 
4.9%
e 4
 
4.9%
r 3
 
3.7%
h 3
 
3.7%
s 3
 
3.7%
Other values (21) 37
45.1%
Common
ValueCountFrequency (%)
28
60.9%
) 7
 
15.2%
( 7
 
15.2%
1 1
 
2.2%
% 1
 
2.2%
> 1
 
2.2%
< 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
79.1%
ASCII 128
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 29
 
6.0%
국 24
 
5.0%
회 21
 
4.3%
학 18
 
3.7%
대 18
 
3.7%
보 14
 
2.9%
건 13
 
2.7%
의 12
 
2.5%
협 12
 
2.5%
사 11
 
2.3%
Other values (136) 311
64.4%
ASCII
ValueCountFrequency (%)
28
21.9%
) 7
 
5.5%
t 7
 
5.5%
( 7
 
5.5%
n 6
 
4.7%
T 5
 
3.9%
a 5
 
3.9%
i 5
 
3.9%
o 4
 
3.1%
e 4
 
3.1%
Other values (28) 50
39.1%

협약기관(영문)
Text

MISSING 

Distinct61
Distinct (%)98.4%
Missing1
Missing (%)1.6%
Memory size636.0 B
2023-12-12T17:40:06.515689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length46
Mean length25.145161
Min length2

Characters and Unicode

Total characters1559
Distinct characters85
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

Unique60 ?
Unique (%)96.8%

Sample

1st row재난안전위기관리협회
2nd row서울시 사회적경제지원센터
3rd row다함사회적협동조합
4th row다자간 업무협약
5th rowUniv of Washington IHME(The Institute for Health Metrics and Evaluation)
ValueCountFrequency (%)
korea 19
 
8.5%
of 16
 
7.1%
health 12
 
5.4%
for 7
 
3.1%
promotion 5
 
2.2%
association 5
 
2.2%
university 5
 
2.2%
and 5
 
2.2%
institute 5
 
2.2%
foundation 4
 
1.8%
Other values (113) 141
62.9%
2023-12-12T17:40:07.005562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
10.6%
o 120
 
7.7%
e 112
 
7.2%
a 92
 
5.9%
i 90
 
5.8%
n 81
 
5.2%
t 81
 
5.2%
r 65
 
4.2%
c 43
 
2.8%
s 42
 
2.7%
Other values (75) 667
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 961
61.6%
Uppercase Letter 377
 
24.2%
Space Separator 166
 
10.6%
Other Letter 45
 
2.9%
Other Punctuation 5
 
0.3%
Dash Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
협 4
 
8.9%
다 3
 
6.7%
회 3
 
6.7%
무 2
 
4.4%
업 2
 
4.4%
간 2
 
4.4%
약 2
 
4.4%
사 2
 
4.4%
적 2
 
4.4%
자 2
 
4.4%
Other values (21) 21
46.7%
Lowercase Letter
ValueCountFrequency (%)
o 120
12.5%
e 112
11.7%
a 92
9.6%
i 90
9.4%
n 81
8.4%
t 81
8.4%
r 65
 
6.8%
c 43
 
4.5%
s 42
 
4.4%
l 42
 
4.4%
Other values (13) 193
20.1%
Uppercase Letter
ValueCountFrequency (%)
S 34
 
9.0%
K 33
 
8.8%
O 28
 
7.4%
I 27
 
7.2%
A 27
 
7.2%
N 26
 
6.9%
H 23
 
6.1%
T 23
 
6.1%
E 22
 
5.8%
R 20
 
5.3%
Other values (13) 114
30.2%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 1
 
20.0%
% 1
 
20.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1338
85.8%
Common 176
 
11.3%
Hangul 45
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 120
 
9.0%
e 112
 
8.4%
a 92
 
6.9%
i 90
 
6.7%
n 81
 
6.1%
t 81
 
6.1%
r 65
 
4.9%
c 43
 
3.2%
s 42
 
3.1%
l 42
 
3.1%
Other values (36) 570
42.6%
Hangul
ValueCountFrequency (%)
협 4
 
8.9%
다 3
 
6.7%
회 3
 
6.7%
무 2
 
4.4%
업 2
 
4.4%
간 2
 
4.4%
약 2
 
4.4%
사 2
 
4.4%
적 2
 
4.4%
자 2
 
4.4%
Other values (21) 21
46.7%
Common
ValueCountFrequency (%)
166
94.3%
& 3
 
1.7%
- 2
 
1.1%
1 1
 
0.6%
) 1
 
0.6%
. 1
 
0.6%
( 1
 
0.6%
% 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1514
97.1%
Hangul 45
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
 
11.0%
o 120
 
7.9%
e 112
 
7.4%
a 92
 
6.1%
i 90
 
5.9%
n 81
 
5.4%
t 81
 
5.4%
r 65
 
4.3%
c 43
 
2.8%
s 42
 
2.8%
Other values (44) 622
41.1%
Hangul
ValueCountFrequency (%)
협 4
 
8.9%
다 3
 
6.7%
회 3
 
6.7%
무 2
 
4.4%
업 2
 
4.4%
간 2
 
4.4%
약 2
 
4.4%
사 2
 
4.4%
적 2
 
4.4%
자 2
 
4.4%
Other values (21) 21
46.7%

체결일자
Date

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2012-08-21 00:00:00
Maximum2023-04-26 00:00:00
2023-12-12T17:40:07.142672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:40:07.273623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

바로가기
Text

MISSING 

Distinct58
Distinct (%)96.7%
Missing3
Missing (%)4.8%
Memory size636.0 B
2023-12-12T17:40:07.659965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length37
Mean length26.983333
Min length14

Characters and Unicode

Total characters1619
Distinct characters49
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st rowwww.dscmakorea.com
2nd rowhttps://sehub.net/
3rd rowhttps://www.dahamcoop.co.kr/
4th rowwww.khepi.or.kr
5th rowhttps://koreashe.org/
ValueCountFrequency (%)
http://www.khealth.or.kr/mou.do?bid=75&mid=350 2
 
3.3%
http://www.kosha.or.kr/main.do?chk=1 2
 
3.3%
http://www.tvchosun.com 1
 
1.7%
http://www.nhis.or.kr/portal/site/main 1
 
1.7%
http://www.ssis.or.kr 1
 
1.7%
http://blog.naver.com/9258k3 1
 
1.7%
http://www.namok.or.kr 1
 
1.7%
www.akom.org 1
 
1.7%
www.eulji.ac.kr 1
 
1.7%
http://www.obs.co.kr 1
 
1.7%
Other values (48) 48
80.0%
2023-12-12T17:40:08.222134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 171
 
10.6%
. 168
 
10.4%
w 149
 
9.2%
t 131
 
8.1%
r 96
 
5.9%
o 95
 
5.9%
h 92
 
5.7%
k 82
 
5.1%
p 75
 
4.6%
a 57
 
3.5%
Other values (39) 503
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1155
71.3%
Other Punctuation 403
 
24.9%
Decimal Number 31
 
1.9%
Uppercase Letter 17
 
1.1%
Math Symbol 8
 
0.5%
Space Separator 3
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 149
12.9%
t 131
11.3%
r 96
 
8.3%
o 95
 
8.2%
h 92
 
8.0%
k 82
 
7.1%
p 75
 
6.5%
a 57
 
4.9%
s 51
 
4.4%
e 47
 
4.1%
Other values (14) 280
24.2%
Decimal Number
ValueCountFrequency (%)
0 11
35.5%
5 5
16.1%
9 5
16.1%
3 3
 
9.7%
1 2
 
6.5%
7 2
 
6.5%
2 1
 
3.2%
8 1
 
3.2%
6 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
M 4
23.5%
E 2
11.8%
N 2
11.8%
U 2
11.8%
I 2
11.8%
S 2
11.8%
C 2
11.8%
D 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 171
42.4%
. 168
41.7%
: 56
 
13.9%
? 6
 
1.5%
& 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
= 8
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1172
72.4%
Common 447
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 149
12.7%
t 131
11.2%
r 96
 
8.2%
o 95
 
8.1%
h 92
 
7.8%
k 82
 
7.0%
p 75
 
6.4%
a 57
 
4.9%
s 51
 
4.4%
e 47
 
4.0%
Other values (22) 297
25.3%
Common
ValueCountFrequency (%)
/ 171
38.3%
. 168
37.6%
: 56
 
12.5%
0 11
 
2.5%
= 8
 
1.8%
? 6
 
1.3%
5 5
 
1.1%
9 5
 
1.1%
3
 
0.7%
3 3
 
0.7%
Other values (7) 11
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 171
 
10.6%
. 168
 
10.4%
w 149
 
9.2%
t 131
 
8.1%
r 96
 
5.9%
o 95
 
5.9%
h 92
 
5.7%
k 82
 
5.1%
p 75
 
4.6%
a 57
 
3.5%
Other values (39) 503
31.1%

Correlations

2023-12-12T17:40:08.367701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
협약명(국문)협약명(영문)협약기관(국문)협약기관(영문)체결일자바로가기
협약명(국문)1.0000.9990.9700.9900.9640.966
협약명(영문)0.9991.0000.9841.0000.9350.936
협약기관(국문)0.9700.9841.0001.0000.9800.991
협약기관(영문)0.9901.0001.0001.0000.9920.992
체결일자0.9640.9350.9800.9921.0000.978
바로가기0.9660.9360.9910.9920.9781.000

Missing values

2023-12-12T17:40:03.484227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:40:03.579454image/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.
2023-12-12T17:40:03.681738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

협약명(국문)협약명(영문)협약기관(국문)협약기관(영문)체결일자바로가기
0재해 예방 및 안전 문화 확산재해 예방 및 안전 문화 확산재난안전위기관리협회재난안전위기관리협회2023-04-26www.dscmakorea.com
1지속가능한 사회적 책임과 가치 실현을 위한 사회적 경제 활성화지속가능한 사회적 책임과 가치 실현을 위한 사회적 경제 활성화서울시 사회적경제지원센터서울시 사회적경제지원센터2023-04-26https://sehub.net/
2사회적 책임을 위한 자원순환사회적 책임을 위한 자원순환다함사회적협동조합다함사회적협동조합2023-04-21https://www.dahamcoop.co.kr/
3노후생활 활성화 및 기관 간 교류와 협력<NA>다자간 업무협약다자간 업무협약2023-03-03www.khepi.or.kr
4환경과 금연 분야 협업<NA>(재) 숲과나눔<NA>2022-11-21https://koreashe.org/
5Global burden of disease 연구의 질 향상을 위한 데이터 지식 전문성 결과물 공유1.23457E+59Univ of Washington IHME(The Institute for Health <br> Metrics and Evaluation)Univ of Washington IHME(The Institute for Health Metrics and Evaluation)2022-11-16<NA>
6광진구 지역경제 활성화를 위한 업무협약광진구 지역경제 활성화를 위한 업무협약다자간 업무협약다자간 업무협약2022-10-26https://khealth.or.kr/kps/mouSite?menuId=MENU00900
7아동ㆍ청소년 건강 권리 확산을 위한 업무협약Business agreement to spread children's and youth's health rights굿네이버스goodneighbors2022-05-17https://www.goodneighbors.kr/
8절주문화 조성 및 음주조장환경 개선을 위한 연구 발굴Research discovery for the creation of a soju culture and improvement of the drinking environment알코올과 건강행동학회KSAH2021-11-26https://alcoholacademy.re.kr/
9지역 간 건강형평성 제고 및 건강관리 문화 확산Improving health equity between regions and spreading health care culture한국오므론헬스케어OMRON2021-11-19https://www.omron-healthcare.co.kr/main
협약명(국문)협약명(영문)협약기관(국문)협약기관(영문)체결일자바로가기
53자궁경부암 예방 캠페인사업Prevention Campaign for Cervical Cancer글락소스미스클라인GSK Korea2014-07-08https://www.gsk-korea.co.kr/
54건강증진 및 생명존중 프로그램Health Promotion & Respect For Life ProgramCBS 기독교방송CBS2013-12-05http://www.cbs.co.kr/
55금연캠페인Non-smoking campaign현대오일뱅크 1% 나눔재단Hyundai Oilbank 1% Nanum Foundation2013-05-30http://www.oilbanknanum.or.kr:9096/
56건강증진사업 연구 및 교육Health Promotion Program Research & Education한국보건복지인력개발원Korea Human Resource Development Institute for Health & Welfare2013-01-31http://www.kohi.or.kr/
57한국-태국간 건강증진분야Korea-Thai Health Promotion Field태국건강증진재단Thai Health Promotion Foundation2012-10-09http://en.thaihealth.or.th/
58식품안전 및 영양관리Food Safety & Nutrition control식품의약품안전처Ministry of Food and Drug Safety2012-09-20http://www.mfds.go.kr/index.do
59건강검진 결과 사후관리Follow-up Management of Medical Check-up Result국민건강보험공단National Health Insurance2012-09-13http://www.nhis.or.kr/portal/site/main
60근로자 건강증진Employee Medical Check-up안전보건공단The Korea Occupational Safety and Health Agency2012-08-28http://www.kosha.or.kr/main.do?chk=1
61만성질환 예방관리Chronic Disease Prevention Administration질병관리본부Korea Centers For Disease Control & Prevention2012-08-23http://www.cdc.go.kr/CDC/main.jsp
62학교 건강증진School Health Promotion한국건강관리협회Korea Association of Health Promotion2012-08-21http://www.kahp.or.kr/