Overview

Dataset statistics

Number of variables11
Number of observations150
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory91.9 B

Variable types

Numeric3
Categorical5
Text2
Boolean1

Dataset

Description한국인터넷진흥원 대표홈페이지 사전정보공표목록에 대한 정보입니다. 순번, 구분코드, 공개내용, 공개주기, 공개방법 등의 관한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15119694/fileData.do

Alerts

순번 is highly overall correlated with 구분코드 and 2 other fieldsHigh correlation
구분코드 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
정렬 is highly overall correlated with 순번High correlation
구분명 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
공개주기 is highly overall correlated with 공개시기High correlation
공개시기 is highly overall correlated with 공개주기 and 1 other fieldsHigh correlation
공개방법 is highly overall correlated with 구분코드 and 3 other fieldsHigh correlation
담당팀 is highly overall correlated with 구분코드 and 3 other fieldsHigh correlation
사용여부 is highly overall correlated with 담당팀High correlation
공개방법 is highly imbalanced (60.7%)Imbalance
순번 has unique valuesUnique
공개내용 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:35:19.477917
Analysis finished2023-12-12 21:35:21.408917
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.053333
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:35:21.485705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.45
Q142.25
median84.5
Q3121.75
95-th percentile151.55
Maximum159
Range158
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation46.096017
Coefficient of variation (CV)0.56178116
Kurtosis-1.2086605
Mean82.053333
Median Absolute Deviation (MAD)40
Skewness-0.058263496
Sum12308
Variance2124.8428
MonotonicityNot monotonic
2023-12-13T06:35:21.623942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 1
 
0.7%
152 1
 
0.7%
150 1
 
0.7%
149 1
 
0.7%
148 1
 
0.7%
147 1
 
0.7%
146 1
 
0.7%
145 1
 
0.7%
144 1
 
0.7%
143 1
 
0.7%
Other values (140) 140
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
159 1
0.7%
158 1
0.7%
157 1
0.7%
156 1
0.7%
155 1
0.7%
154 1
0.7%
153 1
0.7%
152 1
0.7%
151 1
0.7%
150 1
0.7%

구분코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.18
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:35:21.768798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37.75
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation2.4551548
Coefficient of variation (CV)0.47396811
Kurtosis-1.1689586
Mean5.18
Median Absolute Deviation (MAD)2
Skewness-0.40119581
Sum777
Variance6.0277852
MonotonicityNot monotonic
2023-12-13T06:35:21.897218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 38
25.3%
7 23
15.3%
5 23
15.3%
1 19
12.7%
4 15
 
10.0%
6 11
 
7.3%
2 11
 
7.3%
3 10
 
6.7%
ValueCountFrequency (%)
1 19
12.7%
2 11
 
7.3%
3 10
 
6.7%
4 15
 
10.0%
5 23
15.3%
6 11
 
7.3%
7 23
15.3%
8 38
25.3%
ValueCountFrequency (%)
8 38
25.3%
7 23
15.3%
6 11
 
7.3%
5 23
15.3%
4 15
 
10.0%
3 10
 
6.7%
2 11
 
7.3%
1 19
12.7%

구분명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
총무 일반
38 
재무·회계
23 
경영·인사
23 
국민생활과 밀접한 정책
19 
감사·윤리
15 
Other values (3)
32 

Length

Max length12
Median length5
Mean length6.5533333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row총무 일반
2nd row총무 일반
3rd row총무 일반
4th row총무 일반
5th row총무 일반

Common Values

ValueCountFrequency (%)
총무 일반 38
25.3%
재무·회계 23
15.3%
경영·인사 23
15.3%
국민생활과 밀접한 정책 19
12.7%
감사·윤리 15
 
10.0%
홍보 . 국제협력 11
 
7.3%
예산집행 및 사업평가 11
 
7.3%
주요과제 10
 
6.7%

Length

2023-12-13T06:35:22.084398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:22.209778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총무 38
14.1%
일반 38
14.1%
재무·회계 23
8.5%
경영·인사 23
8.5%
국민생활과 19
 
7.0%
밀접한 19
 
7.0%
정책 19
 
7.0%
감사·윤리 15
 
5.6%
홍보 11
 
4.1%
11
 
4.1%
Other values (5) 54
20.0%

공개내용
Text

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:35:22.487383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length11.72
Min length4

Characters and Unicode

Total characters1758
Distinct characters260
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

Unique150 ?
Unique (%)100.0%

Sample

1st row청사 에너지관리 현황
2nd row청사현황 및 시설사용 안내
3rd row차량관리 내역
4th row협력업체 포상현황
5th row출장항공마일리지
ValueCountFrequency (%)
현황 37
 
8.7%
및 22
 
5.2%
결과 7
 
1.6%
인터넷 4
 
0.9%
내역 4
 
0.9%
목록 4
 
0.9%
민원주요 4
 
0.9%
기관 4
 
0.9%
주요 4
 
0.9%
보고서 3
 
0.7%
Other values (280) 332
78.1%
2023-12-13T06:35:22.890374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
 
15.6%
현 58
 
3.3%
황 58
 
3.3%
사 46
 
2.6%
보 44
 
2.5%
원 27
 
1.5%
인 24
 
1.4%
정 22
 
1.3%
공 22
 
1.3%
기 22
 
1.3%
Other values (250) 1160
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1383
78.7%
Space Separator 275
 
15.6%
Uppercase Letter 30
 
1.7%
Other Punctuation 19
 
1.1%
Decimal Number 14
 
0.8%
Close Punctuation 13
 
0.7%
Open Punctuation 13
 
0.7%
Lowercase Letter 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 58
 
4.2%
황 58
 
4.2%
사 46
 
3.3%
보 44
 
3.2%
원 27
 
2.0%
인 24
 
1.7%
정 22
 
1.6%
공 22
 
1.6%
기 22
 
1.6%
및 22
 
1.6%
Other values (216) 1038
75.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
16.7%
I 5
16.7%
P 4
13.3%
Q 4
13.3%
S 2
 
6.7%
U 2
 
6.7%
O 2
 
6.7%
M 2
 
6.7%
T 2
 
6.7%
W 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
18.2%
v 2
18.2%
r 1
9.1%
k 1
9.1%
t 1
9.1%
h 1
9.1%
g 1
9.1%
i 1
9.1%
n 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 6
42.9%
1 3
21.4%
5 2
 
14.3%
3 1
 
7.1%
6 1
 
7.1%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 11
57.9%
& 4
 
21.1%
/ 2
 
10.5%
· 1
 
5.3%
. 1
 
5.3%
Space Separator
ValueCountFrequency (%)
275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
78.7%
Common 334
 
19.0%
Latin 41
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 58
 
4.2%
황 58
 
4.2%
사 46
 
3.3%
보 44
 
3.2%
원 27
 
2.0%
인 24
 
1.7%
정 22
 
1.6%
공 22
 
1.6%
기 22
 
1.6%
및 22
 
1.6%
Other values (216) 1038
75.1%
Latin
ValueCountFrequency (%)
A 5
12.2%
I 5
12.2%
P 4
 
9.8%
Q 4
 
9.8%
s 2
 
4.9%
S 2
 
4.9%
v 2
 
4.9%
U 2
 
4.9%
O 2
 
4.9%
M 2
 
4.9%
Other values (10) 11
26.8%
Common
ValueCountFrequency (%)
275
82.3%
) 13
 
3.9%
( 13
 
3.9%
, 11
 
3.3%
0 6
 
1.8%
& 4
 
1.2%
1 3
 
0.9%
/ 2
 
0.6%
5 2
 
0.6%
3 1
 
0.3%
Other values (4) 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
78.7%
ASCII 374
 
21.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
73.5%
) 13
 
3.5%
( 13
 
3.5%
, 11
 
2.9%
0 6
 
1.6%
A 5
 
1.3%
I 5
 
1.3%
P 4
 
1.1%
& 4
 
1.1%
Q 4
 
1.1%
Other values (23) 34
 
9.1%
Hangul
ValueCountFrequency (%)
현 58
 
4.2%
황 58
 
4.2%
사 46
 
3.3%
보 44
 
3.2%
원 27
 
2.0%
인 24
 
1.7%
정 22
 
1.6%
공 22
 
1.6%
기 22
 
1.6%
및 22
 
1.6%
Other values (216) 1038
75.1%
None
ValueCountFrequency (%)
· 1
100.0%

공개주기
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
매년
84 
수시
36 
연 1회
12 
반기
 
5
매월
 
5
Other values (5)
 
8

Length

Max length4
Median length2
Mean length2.2266667
Min length2

Unique

Unique3 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
매년 84
56.0%
수시 36
24.0%
연 1회 12
 
8.0%
반기 5
 
3.3%
매월 5
 
3.3%
연 2회 3
 
2.0%
분기 2
 
1.3%
3년 1
 
0.7%
주 1회 1
 
0.7%
연 4회 1
 
0.7%

Length

2023-12-13T06:35:23.070844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:23.243539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매년 84
50.3%
수시 36
21.6%
연 16
 
9.6%
1회 13
 
7.8%
반기 5
 
3.0%
매월 5
 
3.0%
2회 3
 
1.8%
분기 2
 
1.2%
3년 1
 
0.6%
주 1
 
0.6%

공개시기
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2월
67 
자료 발생 시
31 
4월
8 
1월
 
6
1월, 7월
 
5
Other values (20)
33 

Length

Max length15
Median length2
Mean length4.0333333
Min length2

Unique

Unique12 ?
Unique (%)8.0%

Sample

1st row2월
2nd row2월
3rd row2월
4th row2월
5th row2월

Common Values

ValueCountFrequency (%)
2월 67
44.7%
자료 발생 시 31
20.7%
4월 8
 
5.3%
1월 6
 
4.0%
1월, 7월 5
 
3.3%
발생후 14일 이내 5
 
3.3%
12월 3
 
2.0%
1월, 4월, 7월, 10월 3
 
2.0%
6월 2
 
1.3%
월1회 2
 
1.3%
Other values (15) 18
 
12.0%

Length

2023-12-13T06:35:23.437279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2월 69
28.0%
발생 31
12.6%
시 31
12.6%
자료 31
12.6%
1월 14
 
5.7%
7월 12
 
4.9%
4월 11
 
4.5%
이내 7
 
2.8%
14일 6
 
2.4%
발생후 5
 
2.0%
Other values (20) 29
11.8%

공개방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
홈페이지
129 
알리오
20 
홈페이지 및 인쇄물
 
1

Length

Max length10
Median length4
Mean length3.9066667
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
홈페이지 129
86.0%
알리오 20
 
13.3%
홈페이지 및 인쇄물 1
 
0.7%

Length

2023-12-13T06:35:23.588491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:23.696526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홈페이지 130
85.5%
알리오 20
 
13.2%
및 1
 
0.7%
인쇄물 1
 
0.7%

링크주소
Text

Distinct143
Distinct (%)96.0%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2023-12-13T06:35:23.935253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length8
Mean length25.838926
Min length4

Characters and Unicode

Total characters3850
Distinct characters57
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

Unique137 ?
Unique (%)91.9%

Sample

1st row/9010505
2nd row/9010504
3rd row/9010503
4th row/9010502
5th row/9010501
ValueCountFrequency (%)
5040102 2
 
1.3%
http://spam.kisa.or.kr/kor/notice/datalist.jsp 2
 
1.3%
9010412 2
 
1.3%
https://www.kisa.or.kr/41002 2
 
1.3%
9010520 2
 
1.3%
https://www.boho.or.kr/kr/bbs/list.do?menuno=205021&bbsid=b0000127 2
 
1.3%
9010522 1
 
0.7%
9010529 1
 
0.7%
9010521 1
 
0.7%
http://www.spamcop.or.kr/kor/report/faqlist.jsp 1
 
0.7%
Other values (133) 133
89.3%
2023-12-13T06:35:24.331310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 362
 
9.4%
/ 311
 
8.1%
o 264
 
6.9%
t 241
 
6.3%
r 223
 
5.8%
. 185
 
4.8%
1 178
 
4.6%
s 140
 
3.6%
9 138
 
3.6%
w 130
 
3.4%
Other values (47) 1678
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2027
52.6%
Decimal Number 971
25.2%
Other Punctuation 607
 
15.8%
Uppercase Letter 182
 
4.7%
Math Symbol 59
 
1.5%
Dash Punctuation 2
 
0.1%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 264
13.0%
t 241
11.9%
r 223
11.0%
s 140
 
6.9%
w 130
 
6.4%
a 130
 
6.4%
i 128
 
6.3%
p 126
 
6.2%
e 112
 
5.5%
k 84
 
4.1%
Other values (14) 449
22.2%
Uppercase Letter
ValueCountFrequency (%)
N 34
18.7%
R 29
15.9%
I 27
14.8%
C 20
11.0%
F 19
10.4%
L 14
7.7%
T 11
 
6.0%
O 9
 
4.9%
B 8
 
4.4%
P 3
 
1.6%
Other values (5) 8
 
4.4%
Decimal Number
ValueCountFrequency (%)
0 362
37.3%
1 178
18.3%
9 138
 
14.2%
2 91
 
9.4%
3 59
 
6.1%
5 56
 
5.8%
4 46
 
4.7%
6 18
 
1.9%
7 14
 
1.4%
8 9
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 311
51.2%
. 185
30.5%
: 52
 
8.6%
& 32
 
5.3%
? 27
 
4.4%
Math Symbol
ValueCountFrequency (%)
= 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2209
57.4%
Common 1641
42.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 264
12.0%
t 241
 
10.9%
r 223
 
10.1%
s 140
 
6.3%
w 130
 
5.9%
a 130
 
5.9%
i 128
 
5.8%
p 126
 
5.7%
e 112
 
5.1%
k 84
 
3.8%
Other values (29) 631
28.6%
Common
ValueCountFrequency (%)
0 362
22.1%
/ 311
19.0%
. 185
11.3%
1 178
10.8%
9 138
 
8.4%
2 91
 
5.5%
= 59
 
3.6%
3 59
 
3.6%
5 56
 
3.4%
: 52
 
3.2%
Other values (8) 150
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 362
 
9.4%
/ 311
 
8.1%
o 264
 
6.9%
t 241
 
6.3%
r 223
 
5.8%
. 185
 
4.8%
1 178
 
4.6%
s 140
 
3.6%
9 138
 
3.6%
w 130
 
3.4%
Other values (47) 1678
43.6%

담당팀
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
총무회계팀
32 
청렴감사팀
17 
인사팀
16 
정보보안팀
14 
예산협력팀
11 
Other values (25)
60 

Length

Max length11
Median length5
Mean length5.0733333
Min length3

Unique

Unique14 ?
Unique (%)9.3%

Sample

1st row안전보건팀
2nd row안전보건팀
3rd row안전보건팀
4th row인사팀
5th row총무회계팀

Common Values

ValueCountFrequency (%)
총무회계팀 32
21.3%
청렴감사팀 17
11.3%
인사팀 16
10.7%
정보보안팀 14
9.3%
예산협력팀 11
 
7.3%
전략기획팀 8
 
5.3%
정책홍보팀 7
 
4.7%
안전보건팀 5
 
3.3%
성과관리팀 5
 
3.3%
스팸조사팀 4
 
2.7%
Other values (20) 31
20.7%

Length

2023-12-13T06:35:24.497753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
총무회계팀 32
21.3%
청렴감사팀 17
11.3%
인사팀 16
10.7%
정보보안팀 14
9.3%
예산협력팀 11
 
7.3%
전략기획팀 8
 
5.3%
정책홍보팀 7
 
4.7%
안전보건팀 5
 
3.3%
성과관리팀 5
 
3.3%
스팸조사팀 4
 
2.7%
Other values (20) 31
20.7%

사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size282.0 B
True
133 
False
17 
ValueCountFrequency (%)
True 133
88.7%
False 17
 
11.3%
2023-12-13T06:35:24.624947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정렬
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.993333
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:35:24.729984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q15
median10
Q317
95-th percentile30.55
Maximum38
Range37
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.8321383
Coefficient of variation (CV)0.73642065
Kurtosis0.42094138
Mean11.993333
Median Absolute Deviation (MAD)6
Skewness0.97905283
Sum1799
Variance78.006667
MonotonicityNot monotonic
2023-12-13T06:35:24.856632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 9
 
6.0%
4 9
 
6.0%
9 8
 
5.3%
10 8
 
5.3%
3 8
 
5.3%
2 8
 
5.3%
1 8
 
5.3%
7 8
 
5.3%
8 8
 
5.3%
5 7
 
4.7%
Other values (28) 69
46.0%
ValueCountFrequency (%)
1 8
5.3%
2 8
5.3%
3 8
5.3%
4 9
6.0%
5 7
4.7%
6 9
6.0%
7 8
5.3%
8 8
5.3%
9 8
5.3%
10 8
5.3%
ValueCountFrequency (%)
38 1
0.7%
37 1
0.7%
36 1
0.7%
35 1
0.7%
34 1
0.7%
33 1
0.7%
32 1
0.7%
31 1
0.7%
30 1
0.7%
29 1
0.7%

Interactions

2023-12-13T06:35:20.823400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.205018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.527292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.924370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.305404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.628111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:21.018567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.421323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:35:20.712509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:35:24.966558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분코드구분명공개주기공개시기공개방법담당팀사용여부정렬
순번1.0000.9390.9390.6370.6070.6150.8450.4540.723
구분코드0.9391.0001.0000.5530.7260.6680.8870.4710.275
구분명0.9391.0001.0000.5530.7260.6680.8870.4710.275
공개주기0.6370.5530.5531.0000.9860.6330.7940.4950.252
공개시기0.6070.7260.7260.9861.0000.8620.7130.5360.000
공개방법0.6150.6680.6680.6330.8621.0000.9080.0000.000
담당팀0.8450.8870.8870.7940.7130.9081.0000.8780.711
사용여부0.4540.4710.4710.4950.5360.0000.8781.0000.315
정렬0.7230.2750.2750.2520.0000.0000.7110.3151.000
2023-12-13T06:35:25.092098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개주기담당팀공개시기공개방법구분명사용여부
공개주기1.0000.3550.8370.4680.3000.370
담당팀0.3551.0000.2350.6290.5600.669
공개시기0.8370.2351.0000.6380.3660.428
공개방법0.4680.6290.6381.0000.5370.000
구분명0.3000.5600.3660.5371.0000.347
사용여부0.3700.6690.4280.0000.3471.000
2023-12-13T06:35:25.211838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분코드정렬구분명공개주기공개시기공개방법담당팀사용여부
순번1.0000.8860.5390.8200.2420.2440.4480.4260.339
구분코드0.8861.0000.3961.0000.3000.3660.5370.5600.347
정렬0.5390.3961.0000.1320.0770.0000.0000.2830.234
구분명0.8201.0000.1321.0000.3000.3660.5370.5600.347
공개주기0.2420.3000.0770.3001.0000.8370.4680.3550.370
공개시기0.2440.3660.0000.3660.8371.0000.6380.2350.428
공개방법0.4480.5370.0000.5370.4680.6381.0000.6290.000
담당팀0.4260.5600.2830.5600.3550.2350.6291.0000.669
사용여부0.3390.3470.2340.3470.3700.4280.0000.6691.000

Missing values

2023-12-13T06:35:21.146445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:35:21.325957image/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

순번구분코드구분명공개내용공개주기공개시기공개방법링크주소담당팀사용여부정렬
01208총무 일반청사 에너지관리 현황매년2월홈페이지/9010505안전보건팀Y5
11198총무 일반청사현황 및 시설사용 안내매년2월홈페이지/9010504안전보건팀Y4
21188총무 일반차량관리 내역매년2월홈페이지/9010503안전보건팀Y3
31178총무 일반협력업체 포상현황매년2월홈페이지/9010502인사팀Y2
41168총무 일반출장항공마일리지매년2월홈페이지/9010501총무회계팀Y1
51157재무·회계계약심사 현황매년2월홈페이지/9010420총무회계팀Y23
61147재무·회계기금지원사업 사업선정 결과매년2월홈페이지/9010419예산협력팀Y22
71137재무·회계각종 기금운용계획매년2월홈페이지/9010418예산협력팀Y21
81127재무·회계예비타당성 조사 대상사업 및 조사결과매년2월홈페이지/9010417총무회계팀Y20
91117재무·회계대규모(100억원 이상) 공사정보매년2월홈페이지/9010416청사증축팀(TF)Y19
순번구분코드구분명공개내용공개주기공개시기공개방법링크주소담당팀사용여부정렬
140393주요과제내부규정수시발생후 14일 이내알리오https://www.alio.go.kr/item/itemOrganList.do?apbaId=C0399&reportFormRootNo=21110예산협력팀Y7
141383주요과제노동조합 현황연 1회2월알리오https://www.alio.go.kr/item/itemReportTerm.do?apbaId=C0399&reportFormRootNo=2102&disclosureNo=인사팀Y6
142375경영·인사복리후생제도 현황연 1회4월알리오https://www.alio.go.kr/item/itemReportTerm.do?apbaId=C0399&reportFormRootNo=20801&disclosureNo=총무회계팀Y22
143363주요과제임직원 수연 1회2월알리오https://www.alio.go.kr/item/itemReportTerm.do?apbaId=C0399&reportFormRootNo=2020&disclosureNo=인사팀Y4
144353주요과제임원 국외출장 정보수시발생후 14일 이내알리오https://www.alio.go.kr/item/itemOrganList.do?apbaId=C0399&reportFormRootNo=20905총무회계팀Y3
145343주요과제신규채용 현황 및 유연근무 현황연 2회2월, 7월알리오https://alio.go.kr/organ/organDisclosureDtl.do?apbaId=C0399인사팀N2
146333주요과제임원 현황연 1회1월알리오https://alio.go.kr/item/itemOrganList.do?apbaId=C0399&reportFormRootNo=20305예산협력팀Y1
1471571국민생활과 밀접한 정책침해사고 프로파일링 보고서(TTPs 보고서)수시자료 발생 시홈페이지https://www.boho.or.kr/kr/bbs/list.do?menuNo=205021&bbsId=B0000127종합분석팀Y5
1481585경영·인사신규채용 현황연 4회1월, 4월, 7월, 10월알리오https://www.alio.go.kr/item/itemReportTerm.do?apbaId=C0399&reportFormRootNo=2040&disclosureNo=인사팀Y20
1491595경영·인사유연근무 현황연 1회4월알리오https://www.alio.go.kr/item/itemReportTerm.do?apbaId=C0399&reportFormRootNo=2140&disclosureNo=인사팀Y21