Overview

Dataset statistics

Number of variables36
Number of observations1006
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory285.0 KiB
Average record size in memory290.1 B

Variable types

Text7
Numeric2
Categorical27

Dataset

Description건강증진 분야와 관련된 연구자료- 과제명, 연구수행기관, 연구책임자, 수행년도, 연구수행기간, 연구비 등의 정보를 제공합니다.
Author한국건강증진개발원
URLhttps://www.data.go.kr/data/3036181/fileData.do

Alerts

(주제)방문건강 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
(주제)건강증진 is highly imbalanced (83.7%)Imbalance
(주제)흡연_금연 is highly imbalanced (77.3%)Imbalance
(주제)음주_절주 is highly imbalanced (86.5%)Imbalance
(주제)영양_식품 is highly imbalanced (92.6%)Imbalance
(주제)신체활동 is highly imbalanced (90.0%)Imbalance
(주제)비만 is highly imbalanced (95.5%)Imbalance
(주제)구강건강 is highly imbalanced (94.7%)Imbalance
(주제)정신건강 is highly imbalanced (91.3%)Imbalance
(주제)모자건강 is highly imbalanced (97.9%)Imbalance
(주제)만성질환 is highly imbalanced (89.4%)Imbalance
(주제)노인성질환 is highly imbalanced (97.1%)Imbalance
(주제)암 is highly imbalanced (97.9%)Imbalance
(주제)감염성질환 is highly imbalanced (95.5%)Imbalance
(주제)희귀성질환 is highly imbalanced (97.9%)Imbalance
(주제)검진_예방접종 is highly imbalanced (95.5%)Imbalance
(주제)안전_손상_재활 is highly imbalanced (95.5%)Imbalance
(주제)한방_대체의학 is highly imbalanced (97.9%)Imbalance
(주제)보건의료산업 is highly imbalanced (97.1%)Imbalance
(주제)국민건강증진종합계획 is highly imbalanced (90.7%)Imbalance
(주제)국민건강증진기금 is highly imbalanced (91.3%)Imbalance
(주제)건강정책평가 is highly imbalanced (92.6%)Imbalance
(주제)건강영향평가 is highly imbalanced (97.9%)Imbalance
(주제)건강증진법_지역보건법 is highly imbalanced (95.5%)Imbalance
(주제)건강관리제도 is highly imbalanced (93.3%)Imbalance
(주제)건강관리 조직_기구 is highly imbalanced (95.5%)Imbalance
(주제)기타 is highly imbalanced (88.8%)Imbalance

Reproduction

Analysis started2023-12-12 23:35:24.352839
Analysis finished2023-12-12 23:35:25.622742
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

Distinct974
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:25.864345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9900596
Min length6

Characters and Unicode

Total characters7032
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique943 ?
Unique (%)93.7%

Sample

1st row[21-25]
2nd row[21-19]
3rd row[21-18]
4th row[21-17]
5th row[21-16]
ValueCountFrequency (%)
20-16 3
 
0.3%
06-44 2
 
0.2%
18-26 2
 
0.2%
20-21 2
 
0.2%
15-20 2
 
0.2%
15-19 2
 
0.2%
09-45 2
 
0.2%
15-17 2
 
0.2%
09-15 2
 
0.2%
15-14 2
 
0.2%
Other values (964) 985
97.9%
2023-12-13T08:35:26.284898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
[ 1006
14.3%
- 1006
14.3%
] 1006
14.3%
0 996
14.2%
1 733
10.4%
2 431
6.1%
3 326
 
4.6%
9 326
 
4.6%
5 280
 
4.0%
4 278
 
4.0%
Other values (3) 644
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4014
57.1%
Open Punctuation 1006
 
14.3%
Dash Punctuation 1006
 
14.3%
Close Punctuation 1006
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 996
24.8%
1 733
18.3%
2 431
10.7%
3 326
 
8.1%
9 326
 
8.1%
5 280
 
7.0%
4 278
 
6.9%
6 249
 
6.2%
7 207
 
5.2%
8 188
 
4.7%
Open Punctuation
ValueCountFrequency (%)
[ 1006
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1006
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7032
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
[ 1006
14.3%
- 1006
14.3%
] 1006
14.3%
0 996
14.2%
1 733
10.4%
2 431
6.1%
3 326
 
4.6%
9 326
 
4.6%
5 280
 
4.0%
4 278
 
4.0%
Other values (3) 644
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
[ 1006
14.3%
- 1006
14.3%
] 1006
14.3%
0 996
14.2%
1 733
10.4%
2 431
6.1%
3 326
 
4.6%
9 326
 
4.6%
5 280
 
4.0%
4 278
 
4.0%
Other values (3) 644
9.2%

과제명
Text

Distinct977
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:26.554929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length66
Mean length32.66004
Min length9

Characters and Unicode

Total characters32856
Distinct characters511
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique949 ?
Unique (%)94.3%

Sample

1st row치의학 연구기관 설립 필요성 및 추진방안 연구
2nd row제2차 정신건강복지기본계획 이행을 위한 법령 개정 연구
3rd row선천성 대사이상 및 난청 검사 영유아건강검진 연계 등 효율화 방안 연구
4th row국민건강증진을 위한 약국 복약 지도서 표준화에 관한 연구
5th row제2차 희귀질환관리 종합계획 수립을 위한 기초 연구
ValueCountFrequency (%)
및 443
 
5.7%
연구 403
 
5.2%
위한 310
 
4.0%
개발 300
 
3.9%
관한 153
 
2.0%
프로그램 103
 
1.3%
방안 83
 
1.1%
건강증진 56
 
0.7%
평가 55
 
0.7%
보건소 53
 
0.7%
Other values (2939) 5746
74.6%
2023-12-13T08:35:26.974624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6816
 
20.7%
건 688
 
2.1%
한 679
 
2.1%
구 661
 
2.0%
의 656
 
2.0%
연 590
 
1.8%
개 530
 
1.6%
강 514
 
1.6%
사 503
 
1.5%
관 467
 
1.4%
Other values (501) 20752
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24743
75.3%
Space Separator 6816
 
20.7%
Lowercase Letter 592
 
1.8%
Uppercase Letter 237
 
0.7%
Decimal Number 127
 
0.4%
Close Punctuation 86
 
0.3%
Open Punctuation 86
 
0.3%
Other Punctuation 84
 
0.3%
Dash Punctuation 72
 
0.2%
Initial Punctuation 5
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 688
 
2.8%
한 679
 
2.7%
구 661
 
2.7%
의 656
 
2.7%
연 590
 
2.4%
개 530
 
2.1%
강 514
 
2.1%
사 503
 
2.0%
관 467
 
1.9%
발 467
 
1.9%
Other values (423) 18988
76.7%
Lowercase Letter
ValueCountFrequency (%)
e 75
12.7%
t 60
 
10.1%
a 55
 
9.3%
i 43
 
7.3%
n 42
 
7.1%
s 35
 
5.9%
o 35
 
5.9%
r 33
 
5.6%
l 32
 
5.4%
h 24
 
4.1%
Other values (14) 158
26.7%
Uppercase Letter
ValueCountFrequency (%)
C 26
 
11.0%
H 22
 
9.3%
A 19
 
8.0%
I 16
 
6.8%
D 16
 
6.8%
E 16
 
6.8%
S 15
 
6.3%
O 14
 
5.9%
P 12
 
5.1%
M 12
 
5.1%
Other values (13) 69
29.1%
Decimal Number
ValueCountFrequency (%)
0 38
29.9%
2 37
29.1%
1 22
17.3%
5 11
 
8.7%
4 6
 
4.7%
9 6
 
4.7%
3 2
 
1.6%
8 2
 
1.6%
6 2
 
1.6%
7 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 20
23.8%
· 19
22.6%
. 16
19.0%
/ 11
13.1%
' 6
 
7.1%
" 4
 
4.8%
? 3
 
3.6%
; 2
 
2.4%
& 2
 
2.4%
# 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 84
97.7%
」 2
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 84
97.7%
「 2
 
2.3%
Initial Punctuation
ValueCountFrequency (%)
“ 3
60.0%
‘ 2
40.0%
Final Punctuation
ValueCountFrequency (%)
” 3
75.0%
’ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
6816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24743
75.3%
Common 7284
 
22.2%
Latin 829
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 688
 
2.8%
한 679
 
2.7%
구 661
 
2.7%
의 656
 
2.7%
연 590
 
2.4%
개 530
 
2.1%
강 514
 
2.1%
사 503
 
2.0%
관 467
 
1.9%
발 467
 
1.9%
Other values (423) 18988
76.7%
Latin
ValueCountFrequency (%)
e 75
 
9.0%
t 60
 
7.2%
a 55
 
6.6%
i 43
 
5.2%
n 42
 
5.1%
s 35
 
4.2%
o 35
 
4.2%
r 33
 
4.0%
l 32
 
3.9%
C 26
 
3.1%
Other values (37) 393
47.4%
Common
ValueCountFrequency (%)
6816
93.6%
) 84
 
1.2%
( 84
 
1.2%
- 72
 
1.0%
0 38
 
0.5%
2 37
 
0.5%
1 22
 
0.3%
: 20
 
0.3%
· 19
 
0.3%
. 16
 
0.2%
Other values (21) 76
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24742
75.3%
ASCII 8081
 
24.6%
None 23
 
0.1%
Punctuation 9
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6816
84.3%
) 84
 
1.0%
( 84
 
1.0%
e 75
 
0.9%
- 72
 
0.9%
t 60
 
0.7%
a 55
 
0.7%
i 43
 
0.5%
n 42
 
0.5%
0 38
 
0.5%
Other values (61) 712
 
8.8%
Hangul
ValueCountFrequency (%)
건 688
 
2.8%
한 679
 
2.7%
구 661
 
2.7%
의 656
 
2.7%
연 590
 
2.4%
개 530
 
2.1%
강 514
 
2.1%
사 503
 
2.0%
관 467
 
1.9%
발 467
 
1.9%
Other values (422) 18987
76.7%
None
ValueCountFrequency (%)
· 19
82.6%
」 2
 
8.7%
「 2
 
8.7%
Punctuation
ValueCountFrequency (%)
“ 3
33.3%
” 3
33.3%
‘ 2
22.2%
’ 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

연구수행기관
Text

Distinct266
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:27.172853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.7196819
Min length3

Characters and Unicode

Total characters6760
Distinct characters188
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)14.9%

Sample

1st row서울대학교 치과병원
2nd row연세대학교
3rd row한림대학교 산학협력단
4th row의약품정책연구소
5th rowJCDA 파트너즈
ValueCountFrequency (%)
한국보건사회연구원 107
 
9.8%
서울대학교 86
 
7.9%
연세대학교 67
 
6.1%
산학협력단 51
 
4.7%
한국보건산업진흥원 37
 
3.4%
고려대학교 37
 
3.4%
가톨릭대학교 29
 
2.7%
한림대학교 28
 
2.6%
인제대학교 20
 
1.8%
이화여자대학교 19
 
1.7%
Other values (250) 613
56.0%
2023-12-13T08:35:27.471562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 796
 
11.8%
대 786
 
11.6%
교 667
 
9.9%
한 292
 
4.3%
원 268
 
4.0%
국 238
 
3.5%
건 217
 
3.2%
연 215
 
3.2%
보 215
 
3.2%
구 186
 
2.8%
Other values (178) 2880
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6642
98.3%
Space Separator 93
 
1.4%
Uppercase Letter 11
 
0.2%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 796
 
12.0%
대 786
 
11.8%
교 667
 
10.0%
한 292
 
4.4%
원 268
 
4.0%
국 238
 
3.6%
건 217
 
3.3%
연 215
 
3.2%
보 215
 
3.2%
구 186
 
2.8%
Other values (166) 2762
41.6%
Uppercase Letter
ValueCountFrequency (%)
D 2
18.2%
C 2
18.2%
O 1
9.1%
E 1
9.1%
K 1
9.1%
B 1
9.1%
S 1
9.1%
J 1
9.1%
A 1
9.1%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6642
98.3%
Common 107
 
1.6%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 796
 
12.0%
대 786
 
11.8%
교 667
 
10.0%
한 292
 
4.4%
원 268
 
4.0%
국 238
 
3.6%
건 217
 
3.3%
연 215
 
3.2%
보 215
 
3.2%
구 186
 
2.8%
Other values (166) 2762
41.6%
Latin
ValueCountFrequency (%)
D 2
18.2%
C 2
18.2%
O 1
9.1%
E 1
9.1%
K 1
9.1%
B 1
9.1%
S 1
9.1%
J 1
9.1%
A 1
9.1%
Common
ValueCountFrequency (%)
93
86.9%
) 7
 
6.5%
( 7
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6642
98.3%
ASCII 118
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 796
 
12.0%
대 786
 
11.8%
교 667
 
10.0%
한 292
 
4.4%
원 268
 
4.0%
국 238
 
3.6%
건 217
 
3.3%
연 215
 
3.2%
보 215
 
3.2%
구 186
 
2.8%
Other values (166) 2762
41.6%
ASCII
ValueCountFrequency (%)
93
78.8%
) 7
 
5.9%
( 7
 
5.9%
D 2
 
1.7%
C 2
 
1.7%
O 1
 
0.8%
E 1
 
0.8%
K 1
 
0.8%
B 1
 
0.8%
S 1
 
0.8%
Other values (2) 2
 
1.7%

연구책임자
Text

Distinct613
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:27.741078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9781312
Min length2

Characters and Unicode

Total characters2996
Distinct characters178
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)40.2%

Sample

1st row임영준
2nd row장석용
3rd row박수경
4th row박혜경
5th row허정우
ValueCountFrequency (%)
정영호 11
 
1.1%
김혜련 9
 
0.9%
최은진 8
 
0.8%
이주열 7
 
0.7%
천성수 7
 
0.7%
이신호 7
 
0.7%
진보형 7
 
0.7%
김광기 6
 
0.6%
황나미 6
 
0.6%
이인숙 6
 
0.6%
Other values (603) 932
92.6%
2023-12-13T08:35:28.106415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 186
 
6.2%
김 171
 
5.7%
영 129
 
4.3%
정 126
 
4.2%
박 75
 
2.5%
수 68
 
2.3%
호 66
 
2.2%
숙 62
 
2.1%
진 61
 
2.0%
신 61
 
2.0%
Other values (168) 1991
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2996
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 186
 
6.2%
김 171
 
5.7%
영 129
 
4.3%
정 126
 
4.2%
박 75
 
2.5%
수 68
 
2.3%
호 66
 
2.2%
숙 62
 
2.1%
진 61
 
2.0%
신 61
 
2.0%
Other values (168) 1991
66.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2996
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 186
 
6.2%
김 171
 
5.7%
영 129
 
4.3%
정 126
 
4.2%
박 75
 
2.5%
수 68
 
2.3%
호 66
 
2.2%
숙 62
 
2.1%
진 61
 
2.0%
신 61
 
2.0%
Other values (168) 1991
66.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2996
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 186
 
6.2%
김 171
 
5.7%
영 129
 
4.3%
정 126
 
4.2%
박 75
 
2.5%
수 68
 
2.3%
호 66
 
2.2%
숙 62
 
2.1%
진 61
 
2.0%
신 61
 
2.0%
Other values (168) 1991
66.5%

수행년도
Real number (ℝ)

Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.1948
Minimum1998
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-13T08:35:28.206692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1998
5-th percentile1999
Q12002
median2006
Q32012
95-th percentile2019
Maximum2021
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.0797202
Coefficient of variation (CV)0.0030289637
Kurtosis-0.73902483
Mean2007.1948
Median Absolute Deviation (MAD)5
Skewness0.47038264
Sum2019238
Variance36.962998
MonotonicityDecreasing
2023-12-13T08:35:28.291647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2005 96
 
9.5%
1999 79
 
7.9%
2006 77
 
7.7%
2000 74
 
7.4%
2001 65
 
6.5%
2002 52
 
5.2%
2007 49
 
4.9%
2008 48
 
4.8%
2011 41
 
4.1%
2009 41
 
4.1%
Other values (14) 384
38.2%
ValueCountFrequency (%)
1998 11
 
1.1%
1999 79
7.9%
2000 74
7.4%
2001 65
6.5%
2002 52
5.2%
2003 39
3.9%
2004 38
 
3.8%
2005 96
9.5%
2006 77
7.7%
2007 49
4.9%
ValueCountFrequency (%)
2021 10
 
1.0%
2020 27
2.7%
2019 17
1.7%
2018 23
2.3%
2017 23
2.3%
2016 22
2.2%
2015 25
2.5%
2014 31
3.1%
2013 39
3.9%
2012 38
3.8%

연구수행기간
Text

Distinct299
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:28.467099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters21126
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)19.0%

Sample

1st row2021-09-17~2021-11-25
2nd row2021-05-31~2021-11-30
3rd row2021-06-04~2021-12-10
4th row2021-06-29~2021-11-30
5th row2021-06-24~2021-11-22
ValueCountFrequency (%)
2000-06-15~2001-04-14 56
 
5.6%
2002-04-01~2003-01-31 51
 
5.1%
2001-04-25~2002-02-24 51
 
5.1%
2005-12-21~2006-10-20 46
 
4.6%
1999-10-01~2000-07-31 45
 
4.5%
2003-03-01~2003-12-31 32
 
3.2%
2007-06-01~2007-11-30 31
 
3.1%
2008-08-04~2009-01-03 24
 
2.4%
2004-05-01~2005-02-28 24
 
2.4%
2006-12-01~2007-07-31 22
 
2.2%
Other values (289) 624
62.0%
2023-12-13T08:35:28.751824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5683
26.9%
- 4024
19.0%
2 3344
15.8%
1 3213
15.2%
~ 1006
 
4.8%
3 868
 
4.1%
9 594
 
2.8%
5 565
 
2.7%
4 550
 
2.6%
6 488
 
2.3%
Other values (2) 791
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16096
76.2%
Dash Punctuation 4024
 
19.0%
Math Symbol 1006
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5683
35.3%
2 3344
20.8%
1 3213
20.0%
3 868
 
5.4%
9 594
 
3.7%
5 565
 
3.5%
4 550
 
3.4%
6 488
 
3.0%
7 423
 
2.6%
8 368
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 4024
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5683
26.9%
- 4024
19.0%
2 3344
15.8%
1 3213
15.2%
~ 1006
 
4.8%
3 868
 
4.1%
9 594
 
2.8%
5 565
 
2.7%
4 550
 
2.6%
6 488
 
2.3%
Other values (2) 791
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5683
26.9%
- 4024
19.0%
2 3344
15.8%
1 3213
15.2%
~ 1006
 
4.8%
3 868
 
4.1%
9 594
 
2.8%
5 565
 
2.7%
4 550
 
2.6%
6 488
 
2.3%
Other values (2) 791
 
3.7%

연구비
Real number (ℝ)

Distinct206
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38779630
Minimum25000
Maximum3.7 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-13T08:35:28.866741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25000
5-th percentile18000000
Q125000000
median37000000
Q347000000
95-th percentile70000000
Maximum3.7 × 108
Range3.69975 × 108
Interquartile range (IQR)22000000

Descriptive statistics

Standard deviation23124860
Coefficient of variation (CV)0.59631463
Kurtosis60.868119
Mean38779630
Median Absolute Deviation (MAD)11000000
Skewness5.5252934
Sum3.9012307 × 1010
Variance5.3475917 × 1014
MonotonicityNot monotonic
2023-12-13T08:35:28.981045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40000000 109
 
10.8%
30000000 107
 
10.6%
50000000 84
 
8.3%
20000000 62
 
6.2%
35000000 35
 
3.5%
45000000 34
 
3.4%
18000000 29
 
2.9%
19000000 27
 
2.7%
37000000 26
 
2.6%
24000000 25
 
2.5%
Other values (196) 468
46.5%
ValueCountFrequency (%)
25000 1
 
0.1%
40000 1
 
0.1%
48800 1
 
0.1%
49000 1
 
0.1%
50000 3
0.3%
58100 1
 
0.1%
77400 1
 
0.1%
3000000 1
 
0.1%
5000000 1
 
0.1%
13000000 2
0.2%
ValueCountFrequency (%)
370000000 1
0.1%
299800000 1
0.1%
167000000 1
0.1%
157000000 1
0.1%
150000000 2
0.2%
147000000 1
0.1%
139417000 1
0.1%
131000000 1
0.1%
129000000 1
0.1%
120000000 2
0.2%

(주제)건강증진
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
982 
Y
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
982
97.6%
Y 24
 
2.4%

Length

2023-12-13T08:35:29.115905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:29.195124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 24
100.0%

(주제)흡연_금연
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
969 
Y
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
969
96.3%
Y 37
 
3.7%

Length

2023-12-13T08:35:29.266394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:29.340623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 37
100.0%

(주제)음주_절주
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
987 
Y
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
987
98.1%
Y 19
 
1.9%

Length

2023-12-13T08:35:29.412368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:29.501930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 19
100.0%

(주제)영양_식품
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
997 
Y
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
997
99.1%
Y 9
 
0.9%

Length

2023-12-13T08:35:29.585886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:29.652688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 9
100.0%

(주제)신체활동
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
993 
Y
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
993
98.7%
Y 13
 
1.3%

Length

2023-12-13T08:35:29.729271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:29.810010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 13
100.0%

(주제)비만
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1001 
Y
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1001
99.5%
Y 5
 
0.5%

Length

2023-12-13T08:35:29.888490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:29.973983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

(주제)구강건강
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1000 
Y
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1000
99.4%
Y 6
 
0.6%

Length

2023-12-13T08:35:30.112925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:30.193040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 6
100.0%

(주제)정신건강
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
995 
Y
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
995
98.9%
Y 11
 
1.1%

Length

2023-12-13T08:35:30.265541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:30.335442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 11
100.0%

(주제)모자건강
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1004 
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1004
99.8%
Y 2
 
0.2%

Length

2023-12-13T08:35:30.414352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:30.494374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 2
100.0%

(주제)방문건강
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1006 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1006
100.0%

Length

2023-12-13T08:35:30.576857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:30.651925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
No values found.

(주제)만성질환
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
992 
Y
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
992
98.6%
Y 14
 
1.4%

Length

2023-12-13T08:35:30.729681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:30.804215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 14
100.0%

(주제)노인성질환
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1003 
Y
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1003
99.7%
Y 3
 
0.3%

Length

2023-12-13T08:35:30.885432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:30.968674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 3
100.0%

(주제)암
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1004 
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1004
99.8%
Y 2
 
0.2%

Length

2023-12-13T08:35:31.050495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:31.138185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 2
100.0%

(주제)감염성질환
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1001 
Y
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1001
99.5%
Y 5
 
0.5%

Length

2023-12-13T08:35:31.220565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:31.301049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

(주제)희귀성질환
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1004 
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1004
99.8%
Y 2
 
0.2%

Length

2023-12-13T08:35:31.389661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:31.479805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 2
100.0%

(주제)검진_예방접종
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1001 
Y
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1001
99.5%
Y 5
 
0.5%

Length

2023-12-13T08:35:31.579351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:31.662116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

(주제)안전_손상_재활
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1001 
Y
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1001
99.5%
Y 5
 
0.5%

Length

2023-12-13T08:35:31.806157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:31.898244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

(주제)한방_대체의학
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1004 
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1004
99.8%
Y 2
 
0.2%

Length

2023-12-13T08:35:32.001992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:32.098744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 2
100.0%

(주제)보건의료산업
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1003 
Y
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1003
99.7%
Y 3
 
0.3%

Length

2023-12-13T08:35:32.182885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:32.273669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 3
100.0%

(주제)국민건강증진종합계획
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
994 
Y
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
994
98.8%
Y 12
 
1.2%

Length

2023-12-13T08:35:32.368228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:32.474717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 12
100.0%

(주제)국민건강증진기금
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
995 
Y
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
995
98.9%
Y 11
 
1.1%

Length

2023-12-13T08:35:32.570653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:32.685288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 11
100.0%

(주제)건강정책평가
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
997 
Y
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
997
99.1%
Y 9
 
0.9%

Length

2023-12-13T08:35:32.791757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:32.878183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 9
100.0%

(주제)건강영향평가
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1004 
Y
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1004
99.8%
Y 2
 
0.2%

Length

2023-12-13T08:35:32.978922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:33.087831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 2
100.0%

(주제)건강증진법_지역보건법
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1001 
Y
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1001
99.5%
Y 5
 
0.5%

Length

2023-12-13T08:35:33.191198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:33.273199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

(주제)건강관리제도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
998 
Y
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
998
99.2%
Y 8
 
0.8%

Length

2023-12-13T08:35:33.371812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:33.463711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 8
100.0%

(주제)건강관리 조직_기구
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1001 
Y
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1001
99.5%
Y 5
 
0.5%

Length

2023-12-13T08:35:33.558634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:33.978031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

(주제)기타
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
991 
Y
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
991
98.5%
Y 15
 
1.5%

Length

2023-12-13T08:35:34.077460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:35:34.172613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 15
100.0%

첨부파일명
Text

Distinct1002
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:34.365588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length103
Mean length24.338966
Min length1

Characters and Unicode

Total characters24485
Distinct characters380
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

Unique998 ?
Unique (%)99.2%

Sample

1st row치의학 연구기관 설립 필요성 및 추진방안 연구.pdf
2nd row제 2차 정신건강복지기본계획 이행을 위한 법령 개정 연구.pdf
3rd row선천성 난청 및 대사이상검사 영유아검진 연계 등 효율화 방안 연구.pdf
4th row국민 건강증진을 위한 약국 복약지도서 표준화에 관한 연구.pdf
5th row제2차 희귀질환관리 종합계획 수립을 위한 기초연구.pdf
ValueCountFrequency (%)
연구.pdf 56
 
2.5%
및 54
 
2.4%
위한 22
 
1.0%
정책 17
 
0.7%
개발 13
 
0.6%
복지부 13
 
0.6%
보고서 13
 
0.6%
연구결과보고서\연구결과 13
 
0.6%
건강증진조사연구\06 13
 
0.6%
z:\연구통계팀\'21년\5 13
 
0.6%
Other values (1750) 2051
90.0%
2023-12-13T08:35:34.784986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1930
 
7.9%
1281
 
5.2%
. 1093
 
4.5%
0 985
 
4.0%
p 918
 
3.7%
f 916
 
3.7%
d 916
 
3.7%
1 755
 
3.1%
대 681
 
2.8%
학 576
 
2.4%
Other values (370) 14434
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11874
48.5%
Decimal Number 4097
 
16.7%
Lowercase Letter 2754
 
11.2%
Dash Punctuation 1930
 
7.9%
Space Separator 1281
 
5.2%
Other Punctuation 1267
 
5.2%
Connector Punctuation 335
 
1.4%
Close Punctuation 307
 
1.3%
Open Punctuation 306
 
1.2%
Uppercase Letter 292
 
1.2%
Other values (2) 42
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 681
 
5.7%
학 576
 
4.9%
교 538
 
4.5%
연 391
 
3.3%
구 362
 
3.0%
건 320
 
2.7%
한 308
 
2.6%
원 293
 
2.5%
보 279
 
2.3%
정 244
 
2.1%
Other values (331) 7882
66.4%
Decimal Number
ValueCountFrequency (%)
0 985
24.0%
1 755
18.4%
2 459
11.2%
9 337
 
8.2%
3 332
 
8.1%
5 281
 
6.9%
4 274
 
6.7%
6 255
 
6.2%
7 211
 
5.2%
8 208
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
D 88
30.1%
P 86
29.5%
F 86
29.5%
Z 23
 
7.9%
C 3
 
1.0%
E 2
 
0.7%
O 1
 
0.3%
S 1
 
0.3%
B 1
 
0.3%
K 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
p 918
33.3%
f 916
33.3%
d 916
33.3%
w 2
 
0.1%
h 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1093
86.3%
\ 128
 
10.1%
: 23
 
1.8%
' 23
 
1.8%
Close Punctuation
ValueCountFrequency (%)
] 231
75.2%
) 76
 
24.8%
Open Punctuation
ValueCountFrequency (%)
[ 231
75.5%
( 75
 
24.5%
Math Symbol
ValueCountFrequency (%)
+ 38
97.4%
~ 1
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 1930
100.0%
Space Separator
ValueCountFrequency (%)
1281
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 335
100.0%
Other Symbol
ValueCountFrequency (%)
★ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11874
48.5%
Common 9565
39.1%
Latin 3046
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 681
 
5.7%
학 576
 
4.9%
교 538
 
4.5%
연 391
 
3.3%
구 362
 
3.0%
건 320
 
2.7%
한 308
 
2.6%
원 293
 
2.5%
보 279
 
2.3%
정 244
 
2.1%
Other values (331) 7882
66.4%
Common
ValueCountFrequency (%)
- 1930
20.2%
1281
13.4%
. 1093
11.4%
0 985
10.3%
1 755
 
7.9%
2 459
 
4.8%
9 337
 
3.5%
_ 335
 
3.5%
3 332
 
3.5%
5 281
 
2.9%
Other values (14) 1777
18.6%
Latin
ValueCountFrequency (%)
p 918
30.1%
f 916
30.1%
d 916
30.1%
D 88
 
2.9%
P 86
 
2.8%
F 86
 
2.8%
Z 23
 
0.8%
C 3
 
0.1%
E 2
 
0.1%
w 2
 
0.1%
Other values (5) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12608
51.5%
Hangul 11874
48.5%
Misc Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1930
15.3%
1281
10.2%
. 1093
 
8.7%
0 985
 
7.8%
p 918
 
7.3%
f 916
 
7.3%
d 916
 
7.3%
1 755
 
6.0%
2 459
 
3.6%
9 337
 
2.7%
Other values (28) 3018
23.9%
Hangul
ValueCountFrequency (%)
대 681
 
5.7%
학 576
 
4.9%
교 538
 
4.5%
연 391
 
3.3%
구 362
 
3.0%
건 320
 
2.7%
한 308
 
2.6%
원 293
 
2.5%
보 279
 
2.3%
정 244
 
2.1%
Other values (331) 7882
66.4%
Misc Symbols
ValueCountFrequency (%)
★ 3
100.0%

바로가기
Text

Distinct977
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-13T08:35:35.056861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length67
Mean length67.014911
Min length65

Characters and Unicode

Total characters67417
Distinct characters39
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique949 ?
Unique (%)94.3%

Sample

1st rowwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1125
2nd rowwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1124
3rd rowwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1123
4th rowwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1122
5th rowwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1121
ValueCountFrequency (%)
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=1109 3
 
0.3%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=992 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=1102 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=1103 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=1110 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=1108 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=692 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=1112 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=516 2
 
0.2%
www.khepi.or.kr/kps/rsrhbusnrept/view?menuid=menu00894&rsrh_idx=722 2
 
0.2%
Other values (967) 985
97.9%
2023-12-13T08:35:35.428205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 6036
 
9.0%
w 4024
 
6.0%
s 4024
 
6.0%
e 4024
 
6.0%
i 3018
 
4.5%
. 3018
 
4.5%
/ 3018
 
4.5%
p 3018
 
4.5%
h 3018
 
4.5%
k 3018
 
4.5%
Other values (29) 31201
46.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41246
61.2%
Decimal Number 8063
 
12.0%
Other Punctuation 8048
 
11.9%
Uppercase Letter 7042
 
10.4%
Math Symbol 2012
 
3.0%
Connector Punctuation 1006
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 6036
14.6%
w 4024
9.8%
s 4024
9.8%
e 4024
9.8%
i 3018
7.3%
p 3018
7.3%
h 3018
7.3%
k 3018
7.3%
d 2012
 
4.9%
u 2012
 
4.9%
Other values (6) 7042
17.1%
Decimal Number
ValueCountFrequency (%)
0 2295
28.5%
8 1296
16.1%
9 1292
16.0%
4 1278
15.9%
1 477
 
5.9%
2 305
 
3.8%
3 293
 
3.6%
5 287
 
3.6%
6 271
 
3.4%
7 269
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
N 1006
14.3%
U 1006
14.3%
I 1006
14.3%
E 1006
14.3%
M 1006
14.3%
R 1006
14.3%
B 1006
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3018
37.5%
/ 3018
37.5%
& 1006
 
12.5%
? 1006
 
12.5%
Math Symbol
ValueCountFrequency (%)
= 2012
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1006
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 48288
71.6%
Common 19129
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 6036
12.5%
w 4024
 
8.3%
s 4024
 
8.3%
e 4024
 
8.3%
i 3018
 
6.2%
p 3018
 
6.2%
h 3018
 
6.2%
k 3018
 
6.2%
d 2012
 
4.2%
u 2012
 
4.2%
Other values (13) 14084
29.2%
Common
ValueCountFrequency (%)
. 3018
15.8%
/ 3018
15.8%
0 2295
12.0%
= 2012
10.5%
8 1296
6.8%
9 1292
6.8%
4 1278
6.7%
_ 1006
 
5.3%
& 1006
 
5.3%
? 1006
 
5.3%
Other values (6) 1902
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 6036
 
9.0%
w 4024
 
6.0%
s 4024
 
6.0%
e 4024
 
6.0%
i 3018
 
4.5%
. 3018
 
4.5%
/ 3018
 
4.5%
p 3018
 
4.5%
h 3018
 
4.5%
k 3018
 
4.5%
Other values (29) 31201
46.3%

Sample

번호과제명연구수행기관연구책임자수행년도연구수행기간연구비(주제)건강증진(주제)흡연_금연(주제)음주_절주(주제)영양_식품(주제)신체활동(주제)비만(주제)구강건강(주제)정신건강(주제)모자건강(주제)방문건강(주제)만성질환(주제)노인성질환(주제)암(주제)감염성질환(주제)희귀성질환(주제)검진_예방접종(주제)안전_손상_재활(주제)한방_대체의학(주제)보건의료산업(주제)국민건강증진종합계획(주제)국민건강증진기금(주제)건강정책평가(주제)건강영향평가(주제)건강증진법_지역보건법(주제)건강관리제도(주제)건강관리 조직_기구(주제)기타첨부파일명바로가기
0[21-25]치의학 연구기관 설립 필요성 및 추진방안 연구서울대학교 치과병원임영준20212021-09-17~2021-11-2534700000치의학 연구기관 설립 필요성 및 추진방안 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1125
1[21-19]제2차 정신건강복지기본계획 이행을 위한 법령 개정 연구연세대학교장석용20212021-05-31~2021-11-3040000000제 2차 정신건강복지기본계획 이행을 위한 법령 개정 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1124
2[21-18]선천성 대사이상 및 난청 검사 영유아건강검진 연계 등 효율화 방안 연구한림대학교 산학협력단박수경20212021-06-04~2021-12-1040000000선천성 난청 및 대사이상검사 영유아검진 연계 등 효율화 방안 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1123
3[21-17]국민건강증진을 위한 약국 복약 지도서 표준화에 관한 연구의약품정책연구소박혜경20212021-06-29~2021-11-3030000000국민 건강증진을 위한 약국 복약지도서 표준화에 관한 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1122
4[21-16]제2차 희귀질환관리 종합계획 수립을 위한 기초 연구JCDA 파트너즈허정우20212021-06-24~2021-11-2249800000제2차 희귀질환관리 종합계획 수립을 위한 기초연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1121
5[21-12]정신재활시설 기능 정립 및 확대방안 연구한국보건사회연구원채수미20212021-04-08~2021-12-1644800000정신재활시설 기능 정립 및 확대방안 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1120
6[21-11]마약류 중독자 지원 종합 대책 수립 연구한림대학교 산학협력단이상규20212021-05-01~2021-11-3034900000마약류 중독자 지원 종합대책 수립연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1119
7[21-10]정신건강증진사업기관 역할정립 및 인프라 확충방안순천향대학교 산학협력단이화영20212021-06-08~2021-11-3045000000정신건강증진사업기관 역할정립 및 인프라 확충방안 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1118
8[21-09]코로나19 국민 정신건강 실태조사(’21년 상반기)대구대학교 산학협력단현진희20212021-03-25~2021-08-2350000000코로나19 국민정신건강 실태조사 (21년 상반기).pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1117
9[21-04]제2차(2022~2026) 구강보건사업기본계획 개발 방안 연구강릉원주대학교 산학협력단정세환20212021-05-28~2021-11-2345000000제2차(2022~2026) 구강보건사업기본계획 개발 방안 연구.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1116
번호과제명연구수행기관연구책임자수행년도연구수행기간연구비(주제)건강증진(주제)흡연_금연(주제)음주_절주(주제)영양_식품(주제)신체활동(주제)비만(주제)구강건강(주제)정신건강(주제)모자건강(주제)방문건강(주제)만성질환(주제)노인성질환(주제)암(주제)감염성질환(주제)희귀성질환(주제)검진_예방접종(주제)안전_손상_재활(주제)한방_대체의학(주제)보건의료산업(주제)국민건강증진종합계획(주제)국민건강증진기금(주제)건강정책평가(주제)건강영향평가(주제)건강증진법_지역보건법(주제)건강관리제도(주제)건강관리 조직_기구(주제)기타첨부파일명바로가기
996[98-10]국가 심혈관질환 발생 감시모델 개발연세대학교서일19981998-12-21~1999-06-2072000000Y98-10-서일-연세대학교.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=10
997[98-09]사회복지시설 거주자의 건강증진 및 시설운영 개선방안 연구한국보건사회연구원변용찬19981998-12-21~1999-10-2014700000098-09-변용찬-한국보건사회연구원.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=9
998[98-08]병원중심 가정간호사업 모형 개발 및 제도화 방안 연구한국보건사회연구원황나미19981998-12-21~1999-09-206000000098-08-황나미-한국보건사회연구원.PDFwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=8
999[98-07]21세기 국민건강증진을 위한 보건소 업무개선 및 사업평가방안 개발 연구한국보건산업진흥원이평수19981998-12-21~1999-12-207500000098-07-이평수-한국보건사회진흥원.PDFwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=7
1000[98-06]1999 OECD 통계생산과 대응전략에 관한 연구한국보건사회연구원장영식19981899-12-31~1899-12-313200000098-06-장영식-한국보건사회연구원.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=6
1001[98-05]국민건강증진 기반조성을 위한 보건의료 법령체계 정비연세대학교손명세19981998-12-21~1999-05-2043000000Y98-05-손명세-연세대학교.PDFwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=5
1002[98-04]전국 정신보건시설의 정신건강 프로그램 및 재원환자의 정신건강 실태조사한국보건사회연구원서동우19981998-12-21~1999-10-2011500000098-04-서동우-한국보건사회연구원.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=4
1003[98-03]만성퇴행성질환 국가관리체계 구축연구한국보건산업진흥원정두채19981998-12-21~1999-12-2037000000Y98-03-정두채-한국보건사회진흥원.PDFwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=3
1004[98-02]국민 건강증진을 위한 보건교육 홍보사업 전략개발한국보건사회연구원서미경19981998-12-21~1999-12-206300000098-02-서미경-한국보건사회연구원.PDFwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=2
1005[98-01]국민건강증진기금사업의 운영 및 평가체계 개발한국보건사회연구원변종화19981998-12-21~1999-08-2075000000Y98-01-변종화-한국보건사회연구원.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=1

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번호과제명연구수행기관연구책임자수행년도연구수행기간연구비(주제)건강증진(주제)흡연_금연(주제)음주_절주(주제)영양_식품(주제)신체활동(주제)비만(주제)구강건강(주제)정신건강(주제)모자건강(주제)방문건강(주제)만성질환(주제)노인성질환(주제)암(주제)감염성질환(주제)희귀성질환(주제)검진_예방접종(주제)안전_손상_재활(주제)한방_대체의학(주제)보건의료산업(주제)국민건강증진종합계획(주제)국민건강증진기금(주제)건강정책평가(주제)건강영향평가(주제)건강증진법_지역보건법(주제)건강관리제도(주제)건강관리 조직_기구(주제)기타첨부파일명바로가기# duplicates
0[19-07]도시지역 자살발생 차이요인 분석과 자살예방 계획수립을 통한 지역맞춤형 자살예방 계획 모형개발백석대학교최명민20192019-06-19~2019-11-2950000000Z:\연구통계팀\'20년\17. 건강증진연구\3. 2019 건강증진연구 원문\[19-7] 도시지역 자살발생 차이요인 분석과 자살예방계획수립을 통한 지역맞춤형 자살예방계획 모형개발.pdfwww.khepi.or.kr/kps/rsrhBusnRept/view?menuId=MENU00894&rsrh_idx=10932