Overview

Dataset statistics

Number of variables7
Number of observations177
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory57.7 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description건강보험심사평가원의 사전정보공표목록으로 공표항목, 공표내용, 공표방법, 공표주기, 담당부서 등으로 구성된 정보를 제공
Author건강보험심사평가원
URLhttps://www.data.go.kr/data/15089270/fileData.do

Alerts

일련번호 is highly overall correlated with 담당부서명 and 1 other fieldsHigh correlation
담당부서명 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
사전정보공개분야명 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
일련번호 has unique valuesUnique
사전정보공개대상명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:44:11.694962
Analysis finished2023-12-12 13:44:12.687217
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.587571
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:44:12.752051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q146
median91
Q3137
95-th percentile181.2
Maximum190
Range189
Interquartile range (IQR)91

Descriptive statistics

Standard deviation55.078296
Coefficient of variation (CV)0.59487786
Kurtosis-1.1626436
Mean92.587571
Median Absolute Deviation (MAD)46
Skewness0.094967616
Sum16388
Variance3033.6187
MonotonicityNot monotonic
2023-12-12T22:44:12.918267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
137 1
 
0.6%
115 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
123 1
 
0.6%
124 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
190 1
0.6%
189 1
0.6%
188 1
0.6%
187 1
0.6%
186 1
0.6%
185 1
0.6%
184 1
0.6%
183 1
0.6%
182 1
0.6%
181 1
0.6%
Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T22:44:13.209843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length11.870056
Min length3

Characters and Unicode

Total characters2101
Distinct characters276
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)100.0%

Sample

1st row일상감사 현황 및 우수사례
2nd row옴브즈만 운영 현황
3rd row감사계획
4th row공직기강 감찰결과
5th row부패행위 신고 및 처리결과(특정 사안 감사)
ValueCountFrequency (%)
현황 31
 
6.5%
30
 
6.3%
결과 8
 
1.7%
목록 5
 
1.1%
주요 5
 
1.1%
조사 4
 
0.8%
각종 4
 
0.8%
내역 4
 
0.8%
청구 3
 
0.6%
용역 3
 
0.6%
Other values (326) 377
79.5%
2023-12-12T22:44:13.607100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
14.1%
56
 
2.7%
52
 
2.5%
51
 
2.4%
49
 
2.3%
41
 
2.0%
34
 
1.6%
31
 
1.5%
30
 
1.4%
( 30
 
1.4%
Other values (266) 1430
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1661
79.1%
Space Separator 297
 
14.1%
Uppercase Letter 56
 
2.7%
Open Punctuation 30
 
1.4%
Close Punctuation 30
 
1.4%
Other Punctuation 16
 
0.8%
Decimal Number 8
 
0.4%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
3.4%
52
 
3.1%
51
 
3.1%
49
 
3.0%
41
 
2.5%
34
 
2.0%
31
 
1.9%
30
 
1.8%
29
 
1.7%
28
 
1.7%
Other values (241) 1260
75.9%
Uppercase Letter
ValueCountFrequency (%)
U 15
26.8%
R 14
25.0%
D 14
25.0%
A 3
 
5.4%
C 2
 
3.6%
I 2
 
3.6%
O 2
 
3.6%
T 1
 
1.8%
P 1
 
1.8%
Q 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 9
56.2%
· 4
25.0%
& 2
 
12.5%
/ 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
1 2
25.0%
3 1
 
12.5%
2 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
e 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1661
79.1%
Common 381
 
18.1%
Latin 59
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
3.4%
52
 
3.1%
51
 
3.1%
49
 
3.0%
41
 
2.5%
34
 
2.0%
31
 
1.9%
30
 
1.8%
29
 
1.7%
28
 
1.7%
Other values (241) 1260
75.9%
Latin
ValueCountFrequency (%)
U 15
25.4%
R 14
23.7%
D 14
23.7%
A 3
 
5.1%
C 2
 
3.4%
I 2
 
3.4%
O 2
 
3.4%
T 1
 
1.7%
P 1
 
1.7%
n 1
 
1.7%
Other values (4) 4
 
6.8%
Common
ValueCountFrequency (%)
297
78.0%
( 30
 
7.9%
) 30
 
7.9%
, 9
 
2.4%
0 4
 
1.0%
· 4
 
1.0%
1 2
 
0.5%
& 2
 
0.5%
/ 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1660
79.0%
ASCII 436
 
20.8%
None 4
 
0.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
68.1%
( 30
 
6.9%
) 30
 
6.9%
U 15
 
3.4%
R 14
 
3.2%
D 14
 
3.2%
, 9
 
2.1%
0 4
 
0.9%
A 3
 
0.7%
C 2
 
0.5%
Other values (14) 18
 
4.1%
Hangul
ValueCountFrequency (%)
56
 
3.4%
52
 
3.1%
51
 
3.1%
49
 
3.0%
41
 
2.5%
34
 
2.0%
31
 
1.9%
30
 
1.8%
29
 
1.7%
28
 
1.7%
Other values (240) 1259
75.8%
None
ValueCountFrequency (%)
· 4
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct175
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T22:44:13.896192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length168
Median length53
Mean length30.508475
Min length3

Characters and Unicode

Total characters5400
Distinct characters327
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)97.7%

Sample

1st row일상감사 대상, 처리절차, 관련 법규, 우수사례(계약, 예산, 주요 정책분야 우수사례)
2nd row개최일시,회의내용,회의결과,건의사항에 대한 조치결과
3rd row유형(정기, 특정, 대규모공사현장 등), 대상(본부, 직속기관, 사업소 등), 감사일정, 감사반편성, 중점 감사사항
4th row시기별 감찰개요, 감찰결과(대상, 내용, 위법사항 등), 조치결과
5th row신고내용, 조사결과(내용, 위법사항 등), 조치결과
ValueCountFrequency (%)
52
 
4.7%
50
 
4.5%
내용 13
 
1.2%
담당부서 10
 
0.9%
명칭 9
 
0.8%
현황 8
 
0.7%
사업명 8
 
0.7%
평가결과 7
 
0.6%
물품 6
 
0.5%
조치결과 6
 
0.5%
Other values (738) 931
84.6%
2023-12-12T22:44:14.401175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
926
 
17.1%
, 481
 
8.9%
116
 
2.1%
84
 
1.6%
83
 
1.5%
) 74
 
1.4%
( 74
 
1.4%
64
 
1.2%
63
 
1.2%
57
 
1.1%
Other values (317) 3378
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3782
70.0%
Space Separator 926
 
17.1%
Other Punctuation 489
 
9.1%
Close Punctuation 74
 
1.4%
Open Punctuation 74
 
1.4%
Decimal Number 30
 
0.6%
Uppercase Letter 22
 
0.4%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
 
3.1%
84
 
2.2%
83
 
2.2%
64
 
1.7%
63
 
1.7%
57
 
1.5%
56
 
1.5%
55
 
1.5%
55
 
1.5%
53
 
1.4%
Other values (288) 3096
81.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
22.7%
I 3
13.6%
Q 2
 
9.1%
C 2
 
9.1%
O 2
 
9.1%
F 2
 
9.1%
H 1
 
4.5%
R 1
 
4.5%
T 1
 
4.5%
M 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
0 8
26.7%
1 8
26.7%
3 7
23.3%
5 4
13.3%
4 1
 
3.3%
2 1
 
3.3%
8 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 481
98.4%
· 4
 
0.8%
/ 3
 
0.6%
& 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
e 1
33.3%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
926
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3782
70.0%
Common 1593
29.5%
Latin 25
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
 
3.1%
84
 
2.2%
83
 
2.2%
64
 
1.7%
63
 
1.7%
57
 
1.5%
56
 
1.5%
55
 
1.5%
55
 
1.5%
53
 
1.4%
Other values (288) 3096
81.9%
Latin
ValueCountFrequency (%)
A 5
20.0%
I 3
12.0%
Q 2
 
8.0%
C 2
 
8.0%
O 2
 
8.0%
F 2
 
8.0%
H 1
 
4.0%
R 1
 
4.0%
p 1
 
4.0%
e 1
 
4.0%
Other values (5) 5
20.0%
Common
ValueCountFrequency (%)
926
58.1%
, 481
30.2%
) 74
 
4.6%
( 74
 
4.6%
0 8
 
0.5%
1 8
 
0.5%
3 7
 
0.4%
5 4
 
0.3%
· 4
 
0.3%
/ 3
 
0.2%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3782
70.0%
ASCII 1614
29.9%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
926
57.4%
, 481
29.8%
) 74
 
4.6%
( 74
 
4.6%
0 8
 
0.5%
1 8
 
0.5%
3 7
 
0.4%
A 5
 
0.3%
5 4
 
0.2%
/ 3
 
0.2%
Other values (18) 24
 
1.5%
Hangul
ValueCountFrequency (%)
116
 
3.1%
84
 
2.2%
83
 
2.2%
64
 
1.7%
63
 
1.7%
57
 
1.5%
56
 
1.5%
55
 
1.5%
55
 
1.5%
53
 
1.4%
Other values (288) 3096
81.9%
None
ValueCountFrequency (%)
· 4
100.0%
Distinct53
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T22:44:14.654534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length8.6214689
Min length6

Characters and Unicode

Total characters1526
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)18.6%

Sample

1st row매년(12월)
2nd row매년(12월)
3rd row매년(1월)
4th row수시(발생 시)
5th row수시(발생시)
ValueCountFrequency (%)
53
18.6%
매년(12월 44
15.4%
매월(월말 19
 
6.7%
수시(개정 18
 
6.3%
수시(발생 18
 
6.3%
매년(4월 8
 
2.8%
이내 5
 
1.8%
10월 4
 
1.4%
매월(월중 4
 
1.4%
분기(1,4,7,10월 3
 
1.1%
Other values (74) 109
38.2%
2023-12-12T22:44:15.091567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 177
11.6%
) 177
11.6%
137
 
9.0%
125
 
8.2%
108
 
7.1%
99
 
6.5%
76
 
5.0%
1 75
 
4.9%
65
 
4.3%
2 47
 
3.1%
Other values (80) 440
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 853
55.9%
Decimal Number 183
 
12.0%
Open Punctuation 177
 
11.6%
Close Punctuation 177
 
11.6%
Space Separator 108
 
7.1%
Other Punctuation 28
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
137
16.1%
125
14.7%
99
11.6%
76
 
8.9%
65
 
7.6%
27
 
3.2%
24
 
2.8%
23
 
2.7%
23
 
2.7%
21
 
2.5%
Other values (66) 233
27.3%
Decimal Number
ValueCountFrequency (%)
1 75
41.0%
2 47
25.7%
4 20
 
10.9%
0 16
 
8.7%
7 11
 
6.0%
3 8
 
4.4%
5 3
 
1.6%
6 2
 
1.1%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 26
92.9%
· 2
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 177
100.0%
Space Separator
ValueCountFrequency (%)
108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 853
55.9%
Common 673
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
137
16.1%
125
14.7%
99
11.6%
76
 
8.9%
65
 
7.6%
27
 
3.2%
24
 
2.8%
23
 
2.7%
23
 
2.7%
21
 
2.5%
Other values (66) 233
27.3%
Common
ValueCountFrequency (%)
( 177
26.3%
) 177
26.3%
108
16.0%
1 75
11.1%
2 47
 
7.0%
, 26
 
3.9%
4 20
 
3.0%
0 16
 
2.4%
7 11
 
1.6%
3 8
 
1.2%
Other values (4) 8
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 853
55.9%
ASCII 671
44.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 177
26.4%
) 177
26.4%
108
16.1%
1 75
11.2%
2 47
 
7.0%
, 26
 
3.9%
4 20
 
3.0%
0 16
 
2.4%
7 11
 
1.6%
3 8
 
1.2%
Other values (3) 6
 
0.9%
Hangul
ValueCountFrequency (%)
137
16.1%
125
14.7%
99
11.6%
76
 
8.9%
65
 
7.6%
27
 
3.2%
24
 
2.8%
23
 
2.7%
23
 
2.7%
21
 
2.5%
Other values (66) 233
27.3%
None
ValueCountFrequency (%)
· 2
100.0%

담당부서명
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
급여정보운영부
15 
DUR관리부
14 
청렴기획부
12 
총무부
 
11
기획예산부
 
10
Other values (40)
115 

Length

Max length8
Median length7
Mean length5.1016949
Min length3

Unique

Unique15 ?
Unique (%)8.5%

Sample

1st row감사부
2nd row청렴기획부
3rd row감사부
4th row청렴기획부
5th row감사부

Common Values

ValueCountFrequency (%)
급여정보운영부 15
 
8.5%
DUR관리부 14
 
7.9%
청렴기획부 12
 
6.8%
총무부 11
 
6.2%
기획예산부 10
 
5.6%
계약부 9
 
5.1%
홍보부 9
 
5.1%
연구기획부 8
 
4.5%
법규송무부 5
 
2.8%
재무회계부 5
 
2.8%
Other values (35) 79
44.6%

Length

2023-12-12T22:44:15.232436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
급여정보운영부 15
 
8.5%
dur관리부 14
 
7.9%
청렴기획부 12
 
6.8%
총무부 11
 
6.2%
기획예산부 10
 
5.6%
계약부 9
 
5.1%
홍보부 9
 
5.1%
연구기획부 8
 
4.5%
재무회계부 5
 
2.8%
노사복지부 5
 
2.8%
Other values (35) 79
44.6%

사전정보공개분야명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
인사·총무·회계
40 
기관사무정보
27 
의약품·DUR
26 
질병·진료비
21 
감사·윤리
17 
Other values (6)
46 

Length

Max length8
Median length7
Mean length6.220339
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row감사·윤리
2nd row감사·윤리
3rd row감사·윤리
4th row감사·윤리
5th row감사·윤리

Common Values

ValueCountFrequency (%)
인사·총무·회계 40
22.6%
기관사무정보 27
15.3%
의약품·DUR 26
14.7%
질병·진료비 21
11.9%
감사·윤리 17
9.6%
기획·재정 14
 
7.9%
정보화 9
 
5.1%
홍보·대외협력 8
 
4.5%
법무·노무 7
 
4.0%
법령·기준 6
 
3.4%

Length

2023-12-12T22:44:15.354629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인사·총무·회계 40
22.6%
기관사무정보 27
15.3%
의약품·dur 26
14.7%
질병·진료비 21
11.9%
감사·윤리 17
9.6%
기획·재정 14
 
7.9%
정보화 9
 
5.1%
홍보·대외협력 8
 
4.5%
법무·노무 7
 
4.0%
법령·기준 6
 
3.4%
Distinct171
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T22:44:15.602720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length245
Median length230
Mean length105.42938
Min length26

Characters and Unicode

Total characters18661
Distinct characters69
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

Unique165 ?
Unique (%)93.2%

Sample

1st rowhttp://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EC%9D%BC%EC%83%81%EA%B0%90%EC%82%AC+%ED%98%84%ED%99%A9+%EB%B0%8F+%EC%9A%B0%EC%88%98%EC%82%AC%EB%A1%80&startDate=&endDate=&pageIndex=1
2nd rowhttp://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EC%98%B4%EB%B8%8C%EC%A6%88%EB%A7%8C+%EC%9A%B4%EC%98%81+%ED%98%84%ED%99%A9&startDate=&endDate=&pageIndex=1
3rd rowhttp://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EA%B0%90%EC%82%AC%EA%B3%84%ED%9A%8D&startDate=&endDate=&pageIndex=1
4th rowhttp://www.alio.go.kr/popSusi.do?apbaId=C0006&reportFormRootNo=43006
5th rowhttp://www.alio.go.kr/popSusi.do?apbaId=C0006&reportFormRootNo=43006
ValueCountFrequency (%)
http://www.hira.or.kr/dummy.do?pgmid=hirac920012000000 2
 
1.1%
http://www.hira.or.kr/rc/icenter/study/getreportlist.do?pgmid=hiraa030095000000 2
 
1.1%
http://www.hira.or.kr/bbsdummy.do?pgmid=hiraa040027110000 2
 
1.1%
http://www.hira.or.kr/bbsdummy.do?pgmid=hiraa020004000000 2
 
1.1%
http://www.alio.go.kr/popsusi.do?apbaid=c0006&reportformrootno=43006 2
 
1.1%
http://www.hira.or.kr/bbsdummy.do?pgmid=hiraa040073001000&pageunit=10&searchcondition=txt12&searchkeyword=%eb%b6%80%ed%8c%a8&startdate=&enddate=&pageindex=1 2
 
1.1%
http://www.hira.or.kr/bbsdummy.do?pgmid=hiraa030019000000 1
 
0.6%
http://www.hira.or.kr/dummy.do?pgmid=hiraa030056010000 1
 
0.6%
http://www.hira.or.kr/rg/dur/indvagreenew.do?pgmid=hiraa050300000100 1
 
0.6%
http://www.hira.or.kr/dummy.do?pgmid=hiraa020028000000 1
 
0.6%
Other values (161) 161
91.0%
2023-12-12T22:44:16.102562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1450
 
7.8%
% 1101
 
5.9%
r 839
 
4.5%
t 803
 
4.3%
o 722
 
3.9%
. 709
 
3.8%
a 661
 
3.5%
d 643
 
3.4%
e 639
 
3.4%
/ 599
 
3.2%
Other values (59) 10495
56.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8851
47.4%
Decimal Number 3164
 
17.0%
Other Punctuation 3128
 
16.8%
Uppercase Letter 2904
 
15.6%
Math Symbol 600
 
3.2%
Connector Punctuation 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 839
 
9.5%
t 803
 
9.1%
o 722
 
8.2%
a 661
 
7.5%
d 643
 
7.3%
e 639
 
7.2%
p 556
 
6.3%
i 555
 
6.3%
w 522
 
5.9%
h 460
 
5.2%
Other values (16) 2451
27.7%
Uppercase Letter
ValueCountFrequency (%)
A 511
17.6%
E 372
12.8%
D 331
11.4%
C 324
11.2%
B 312
10.7%
I 242
8.3%
R 190
 
6.5%
H 139
 
4.8%
T 124
 
4.3%
U 58
 
2.0%
Other values (13) 301
10.4%
Decimal Number
ValueCountFrequency (%)
0 1450
45.8%
1 352
 
11.1%
8 285
 
9.0%
9 277
 
8.8%
2 194
 
6.1%
3 172
 
5.4%
4 150
 
4.7%
7 109
 
3.4%
6 93
 
2.9%
5 82
 
2.6%
Other Punctuation
ValueCountFrequency (%)
% 1101
35.2%
. 709
22.7%
/ 599
19.1%
& 374
 
12.0%
: 177
 
5.7%
? 167
 
5.3%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 541
90.2%
+ 59
 
9.8%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11755
63.0%
Common 6906
37.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 839
 
7.1%
t 803
 
6.8%
o 722
 
6.1%
a 661
 
5.6%
d 643
 
5.5%
e 639
 
5.4%
p 556
 
4.7%
i 555
 
4.7%
w 522
 
4.4%
A 511
 
4.3%
Other values (39) 5304
45.1%
Common
ValueCountFrequency (%)
0 1450
21.0%
% 1101
15.9%
. 709
10.3%
/ 599
8.7%
= 541
 
7.8%
& 374
 
5.4%
1 352
 
5.1%
8 285
 
4.1%
9 277
 
4.0%
2 194
 
2.8%
Other values (10) 1024
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18661
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1450
 
7.8%
% 1101
 
5.9%
r 839
 
4.5%
t 803
 
4.3%
o 722
 
3.9%
. 709
 
3.8%
a 661
 
3.5%
d 643
 
3.4%
e 639
 
3.4%
/ 599
 
3.2%
Other values (59) 10495
56.2%

Interactions

2023-12-12T22:44:12.376493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:44:16.219079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호사전정보공개시기명담당부서명사전정보공개분야명
일련번호1.0000.6650.9180.891
사전정보공개시기명0.6651.0000.9460.839
담당부서명0.9180.9461.0000.966
사전정보공개분야명0.8910.8390.9661.000
2023-12-12T22:44:16.318384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당부서명사전정보공개분야명
담당부서명1.0000.684
사전정보공개분야명0.6841.000
2023-12-12T22:44:16.424776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호담당부서명사전정보공개분야명
일련번호1.0000.5490.654
담당부서명0.5491.0000.684
사전정보공개분야명0.6540.6841.000

Missing values

2023-12-12T22:44:12.516621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:44:12.640740image/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

일련번호사전정보공개대상명사전정보공개범위명사전정보공개시기명담당부서명사전정보공개분야명URL주소
01일상감사 현황 및 우수사례일상감사 대상, 처리절차, 관련 법규, 우수사례(계약, 예산, 주요 정책분야 우수사례)매년(12월)감사부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EC%9D%BC%EC%83%81%EA%B0%90%EC%82%AC+%ED%98%84%ED%99%A9+%EB%B0%8F+%EC%9A%B0%EC%88%98%EC%82%AC%EB%A1%80&startDate=&endDate=&pageIndex=1
12옴브즈만 운영 현황개최일시,회의내용,회의결과,건의사항에 대한 조치결과매년(12월)청렴기획부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EC%98%B4%EB%B8%8C%EC%A6%88%EB%A7%8C+%EC%9A%B4%EC%98%81+%ED%98%84%ED%99%A9&startDate=&endDate=&pageIndex=1
23감사계획유형(정기, 특정, 대규모공사현장 등), 대상(본부, 직속기관, 사업소 등), 감사일정, 감사반편성, 중점 감사사항매년(1월)감사부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EA%B0%90%EC%82%AC%EA%B3%84%ED%9A%8D&startDate=&endDate=&pageIndex=1
34공직기강 감찰결과시기별 감찰개요, 감찰결과(대상, 내용, 위법사항 등), 조치결과수시(발생 시)청렴기획부감사·윤리http://www.alio.go.kr/popSusi.do?apbaId=C0006&reportFormRootNo=43006
45부패행위 신고 및 처리결과(특정 사안 감사)신고내용, 조사결과(내용, 위법사항 등), 조치결과수시(발생시)감사부감사·윤리http://www.alio.go.kr/popSusi.do?apbaId=C0006&reportFormRootNo=43006
56부패공직자 제재 현황부패유형 및 내용, 기소여부, 징계내역 등매년(10월)청렴기획부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA040072000000
67고충·다수 민원관련 조사 및 처리결과유형(고충, 다수), 민원목록 및 내용, 조사결과(내용, 위법사항 등), 민원처리 결과, 조치결과매년(12월)감사부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EB%8B%A4%EC%88%98+%EB%AF%BC%EC%9B%90&startDate=&endDate=&pageIndex=1
78반부패 경쟁력 추진 현황반부패 경쟁력 평가 추진계획, 반부패 추진 시책매년(5월)청렴기획부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA040073001000&pageUnit=10&searchCondition=TXT12&searchKeyword=%EB%B6%80%ED%8C%A8&startDate=&endDate=&pageIndex=1
89반부패 경쟁력평가 결과조사대상, 기간, 평가부문(주요 평가내용), 평가결과(등급)매년(결과 발표일로 부터 14일이내)청렴기획부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA040073001000&pageUnit=10&searchCondition=TXT12&searchKeyword=%EB%B6%80%ED%8C%A8&startDate=&endDate=&pageIndex=1
910종합청렴도 평가권익위 종합청렴도 평가결과매년(12월)청렴기획부감사·윤리http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA070001000630&pageUnit=10&searchCondition=TXT12&searchKeyword=%EC%A2%85%ED%95%A9%EC%B2%AD%EB%A0%B4%EB%8F%84&startDate=&endDate=&pageIndex=1
일련번호사전정보공개대상명사전정보공개범위명사전정보공개시기명담당부서명사전정보공개분야명URL주소
167179요양급여비용 적정성평가 실적평가개요, 현황, 평가결과, 평가결과 공개 등매년(2월)평가관리부병원평가http://www.hira.or.kr/dummy.do?pgmid=HIRAA040037010000
168180정책동향주제, 저자, 발행년월, 내용(정책현안, HIRA연구, 진료경향분석, 해외동향 등)격월(홀수월)연구기획부기관사무정보http://www.hira.or.kr/bbsDummy.do?pgmid=HIRAA030096000000
169181비공개·미보유 정보 청구 사례부서, 소관업무, 비공개 대상정보, 근거, 다발생 미보유 정보의 유형에 따른 사례 등수시(자료생성일로부터 30일이내)급여정보운영부기관사무정보http://www.hira.or.kr/dummy.do?pgmid=HIRAA070001000270
170182DUR정보(용량주의/투여기간주의의약품)용량주의/투여기간주의의약품매월(월말)DUR관리부의약품·DURhttp://biz.hira.or.kr/indexS.ndo?PROGRAM_ID=MP00000321
171183DUR정보(분할주의의약품)분할주의의약품매월(월말)DUR관리부의약품·DURhttp://biz.hira.or.kr/indexS.ndo?PROGRAM_ID=MP00000322
172184DUR정보(노인주의의약품)노인주의의약품매월(월말)DUR관리부의약품·DURhttp://biz.hira.or.kr/indexS.ndo?PROGRAM_ID=MP00000323
173185DUR정보(동일성분중복의약품)동일성분중복의약품매월(월말)DUR관리부의약품·DURhttp://biz.hira.or.kr/indexS.ndo?PROGRAM_ID=MP00000746
174186DUR정보(허가사항주의의약품)허가사항주의의약품매월(월말)DUR관리부의약품·DURhttp://biz.hira.or.kr/indexS.ndo?PROGRAM_ID=MP00000747
175187DUR정보(생산수입공급중단의약품)생산수입공급중단의약품매월(월말)DUR관리부의약품·DURhttp://biz.hira.or.kr/indexS.ndo?PROGRAM_ID=MP00001314
176188OpenAPI 서비스OpenAPI 서비스 안내 및 이용방법, 제공 목록수시(발생시)빅데이터전략부기관사무정보https://opendata.hira.or.kr/op/opc/selectOpenApiInfoView.do