Overview

Dataset statistics

Number of variables8
Number of observations183
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory67.7 B

Variable types

Categorical2
Numeric2
Text1
Boolean2
DateTime1

Dataset

Description한국인터넷진흥원 대표홈페이지 게시물에 대한 데이터입니다. 공지사항, 입찰정보 채용정보 보도자료 등 게시물 정보입니다.
URLhttps://www.data.go.kr/data/15119665/fileData.do

Alerts

언어유형 has constant value ""Constant
상단공지여부 has constant value ""Constant
API연동여부 has constant value ""Constant
게시판번호 is highly overall correlated with 조회수 and 1 other fieldsHigh correlation
조회수 is highly overall correlated with 게시판번호High correlation
메뉴번호 is highly overall correlated with 게시판번호High correlation
메뉴번호 is highly imbalanced (85.5%)Imbalance
게시판번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:10:35.560485
Analysis finished2023-12-12 19:10:36.443041
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

메뉴번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
402
177 
409
 
5
401
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row402
2nd row402
3rd row402
4th row402
5th row402

Common Values

ValueCountFrequency (%)
402 177
96.7%
409 5
 
2.7%
401 1
 
0.5%

Length

2023-12-13T04:10:36.820895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:36.927345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
402 177
96.7%
409 5
 
2.7%
401 1
 
0.5%

게시판번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1427.4481
Minimum86
Maximum1813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:10:37.049935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile222.1
Q11660.5
median1711
Q31756.5
95-th percentile1803.9
Maximum1813
Range1727
Interquartile range (IQR)96

Descriptive statistics

Standard deviation603.59603
Coefficient of variation (CV)0.42284973
Kurtosis0.2735211
Mean1427.4481
Median Absolute Deviation (MAD)48
Skewness-1.4898574
Sum261223
Variance364328.17
MonotonicityNot monotonic
2023-12-13T04:10:37.198244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1681 1
 
0.5%
1754 1
 
0.5%
1764 1
 
0.5%
1762 1
 
0.5%
1761 1
 
0.5%
1760 1
 
0.5%
1759 1
 
0.5%
1758 1
 
0.5%
1757 1
 
0.5%
1756 1
 
0.5%
Other values (173) 173
94.5%
ValueCountFrequency (%)
86 1
0.5%
99 1
0.5%
100 1
0.5%
216 1
0.5%
217 1
0.5%
218 1
0.5%
219 1
0.5%
220 1
0.5%
221 1
0.5%
222 1
0.5%
ValueCountFrequency (%)
1813 1
0.5%
1812 1
0.5%
1811 1
0.5%
1810 1
0.5%
1809 1
0.5%
1808 1
0.5%
1807 1
0.5%
1806 1
0.5%
1805 1
0.5%
1804 1
0.5%

언어유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
KO
183 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KO 183
100.0%

Length

2023-12-13T04:10:37.345900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:10:37.456039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 183
100.0%

제목
Text

Distinct175
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T04:10:37.826198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length30.071038
Min length4

Characters and Unicode

Total characters5503
Distinct characters438
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)92.3%

Sample

1st row한국인터넷진흥원-서울특별시, 공공서비스 디지털트랜스포메이션 촉진 MoU 체결
2nd row인터넷진흥원, 급증하는 6·13 지방선거 홍보문자 관련 개인정보 침해 민원상담 비상대응체계 돌입
3rd rowKISA, 이동통신 대리점 대상 스팸방지 인식제고 교육 실시
4th rowKISA-NH농협은행, 핀테크·블록체인 신규 서비스 개발대회 개최
5th rowKISA, 국외 전문가 초청 개인정보 비식별 활용 세미나 개최
ValueCountFrequency (%)
kisa 76
 
6.2%
개최 33
 
2.7%
인터넷진흥원 31
 
2.5%
정보보호 30
 
2.4%
위한 28
 
2.3%
체결 13
 
1.1%
추진 11
 
0.9%
지원 10
 
0.8%
개인정보 9
 
0.7%
협력 8
 
0.7%
Other values (671) 980
79.7%
2023-12-13T04:10:38.442167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1046
 
19.0%
, 140
 
2.5%
보 137
 
2.5%
인 112
 
2.0%
I 103
 
1.9%
K 95
 
1.7%
S 94
 
1.7%
A 88
 
1.6%
정 88
 
1.6%
진 75
 
1.4%
Other values (428) 3525
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3492
63.5%
Space Separator 1046
 
19.0%
Uppercase Letter 483
 
8.8%
Other Punctuation 184
 
3.3%
Decimal Number 177
 
3.2%
Lowercase Letter 51
 
0.9%
Dash Punctuation 28
 
0.5%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Final Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 137
 
3.9%
인 112
 
3.2%
정 88
 
2.5%
진 75
 
2.1%
원 73
 
2.1%
터 66
 
1.9%
개 64
 
1.8%
한 57
 
1.6%
대 56
 
1.6%
넷 55
 
1.6%
Other values (368) 2709
77.6%
Uppercase Letter
ValueCountFrequency (%)
I 103
21.3%
K 95
19.7%
S 94
19.5%
A 88
18.2%
C 19
 
3.9%
T 14
 
2.9%
R 9
 
1.9%
D 9
 
1.9%
P 9
 
1.9%
M 8
 
1.7%
Other values (11) 35
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
t 10
19.6%
e 9
17.6%
s 6
11.8%
r 5
9.8%
o 4
 
7.8%
d 3
 
5.9%
a 3
 
5.9%
c 3
 
5.9%
i 2
 
3.9%
x 2
 
3.9%
Other values (4) 4
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 42
23.7%
0 41
23.2%
2 40
22.6%
8 18
10.2%
9 10
 
5.6%
3 9
 
5.1%
7 7
 
4.0%
5 6
 
3.4%
6 2
 
1.1%
4 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 140
76.1%
· 23
 
12.5%
! 4
 
2.2%
& 4
 
2.2%
" 4
 
2.2%
. 3
 
1.6%
? 3
 
1.6%
/ 2
 
1.1%
… 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 10
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3492
63.5%
Common 1477
26.8%
Latin 534
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 137
 
3.9%
인 112
 
3.2%
정 88
 
2.5%
진 75
 
2.1%
원 73
 
2.1%
터 66
 
1.9%
개 64
 
1.8%
한 57
 
1.6%
대 56
 
1.6%
넷 55
 
1.6%
Other values (368) 2709
77.6%
Latin
ValueCountFrequency (%)
I 103
19.3%
K 95
17.8%
S 94
17.6%
A 88
16.5%
C 19
 
3.6%
T 14
 
2.6%
t 10
 
1.9%
R 9
 
1.7%
D 9
 
1.7%
P 9
 
1.7%
Other values (25) 84
15.7%
Common
ValueCountFrequency (%)
1046
70.8%
, 140
 
9.5%
1 42
 
2.8%
0 41
 
2.8%
2 40
 
2.7%
- 28
 
1.9%
· 23
 
1.6%
8 18
 
1.2%
) 11
 
0.7%
( 11
 
0.7%
Other values (15) 77
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3491
63.4%
ASCII 1967
35.7%
None 23
 
0.4%
Punctuation 21
 
0.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1046
53.2%
, 140
 
7.1%
I 103
 
5.2%
K 95
 
4.8%
S 94
 
4.8%
A 88
 
4.5%
1 42
 
2.1%
0 41
 
2.1%
2 40
 
2.0%
- 28
 
1.4%
Other values (46) 250
 
12.7%
Hangul
ValueCountFrequency (%)
보 137
 
3.9%
인 112
 
3.2%
정 88
 
2.5%
진 75
 
2.1%
원 73
 
2.1%
터 66
 
1.9%
개 64
 
1.8%
한 57
 
1.6%
대 56
 
1.6%
넷 55
 
1.6%
Other values (367) 2708
77.6%
None
ValueCountFrequency (%)
· 23
100.0%
Punctuation
ValueCountFrequency (%)
’ 10
47.6%
‘ 10
47.6%
… 1
 
4.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct181
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27107.071
Minimum0
Maximum219118
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:10:38.639917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4492.4
Q16476.5
median8749
Q311475.5
95-th percentile138297.4
Maximum219118
Range219118
Interquartile range (IQR)4999

Descriptive statistics

Standard deviation47330.098
Coefficient of variation (CV)1.7460425
Kurtosis5.1822558
Mean27107.071
Median Absolute Deviation (MAD)2439
Skewness2.4645312
Sum4960594
Variance2.2401381 × 109
MonotonicityNot monotonic
2023-12-13T04:10:38.783625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10810 2
 
1.1%
7811 2
 
1.1%
4476 1
 
0.5%
7033 1
 
0.5%
6468 1
 
0.5%
6485 1
 
0.5%
7783 1
 
0.5%
6808 1
 
0.5%
7131 1
 
0.5%
10236 1
 
0.5%
Other values (171) 171
93.4%
ValueCountFrequency (%)
0 1
0.5%
124 1
0.5%
3151 1
0.5%
3152 1
0.5%
3966 1
0.5%
4111 1
0.5%
4120 1
0.5%
4163 1
0.5%
4459 1
0.5%
4476 1
0.5%
ValueCountFrequency (%)
219118 1
0.5%
217705 1
0.5%
217497 1
0.5%
198769 1
0.5%
160076 1
0.5%
150252 1
0.5%
146738 1
0.5%
142422 1
0.5%
139141 1
0.5%
138411 1
0.5%

상단공지여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size315.0 B
False
183 
ValueCountFrequency (%)
False 183
100.0%
2023-12-13T04:10:38.925684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자
Date

Distinct176
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2008-04-22 00:00:00
Maximum2022-03-04 10:12:32
2023-12-13T04:10:39.063726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:10:39.250359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

API연동여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size315.0 B
False
183 
ValueCountFrequency (%)
False 183
100.0%
2023-12-13T04:10:39.436648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T04:10:36.031382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:10:35.864387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:10:36.119914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:10:35.948259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:10:39.519993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
메뉴번호게시판번호조회수
메뉴번호1.0000.8170.000
게시판번호0.8171.0000.000
조회수0.0000.0001.000
2023-12-13T04:10:39.647309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
게시판번호조회수메뉴번호
게시판번호1.000-0.6890.839
조회수-0.6891.0000.000
메뉴번호0.8390.0001.000

Missing values

2023-12-13T04:10:36.269485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:10:36.396423image/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

메뉴번호게시판번호언어유형제목조회수상단공지여부등록일자API연동여부
04021681KO한국인터넷진흥원-서울특별시, 공공서비스 디지털트랜스포메이션 촉진 MoU 체결219118N2018-06-11 09:57:34N
14021680KO인터넷진흥원, 급증하는 6·13 지방선거 홍보문자 관련 개인정보 침해 민원상담 비상대응체계 돌입217497N2018-06-09 00:00:00N
24021679KOKISA, 이동통신 대리점 대상 스팸방지 인식제고 교육 실시217705N2018-06-08 00:00:00N
34021678KOKISA-NH농협은행, 핀테크·블록체인 신규 서비스 개발대회 개최198769N2018-06-04 15:25:16N
44021677KOKISA, 국외 전문가 초청 개인정보 비식별 활용 세미나 개최146738N2018-06-01 11:36:58N
54021676KOKISA, 제7회 블록체인 테크비즈 컨퍼런스 개최160076N2018-05-30 15:44:00N
64021675KOKISA, 2018 정보보호 취업박람회 개최142422N2018-05-29 17:35:40N
74021674KOKISA, 우리 기업을 위한 EU GDPR 가이드북 공개150252N2018-05-25 00:00:00N
84021673KOKISA-교보생명, 인슈어테크 활성화 위한 업무협약 체결117677N2018-05-24 13:40:34N
94021672KO테스트중124N2018-05-18 10:28:50N
메뉴번호게시판번호언어유형제목조회수상단공지여부등록일자API연동여부
173402226KOKISA, 악성코드 자동수집 기술 특허 출원11442N2008-06-10 00:00:00N
174402224KOKISA 황중연 원장, 30일 목포대학교에서 강연8326N2008-05-30 00:00:00N
175402223KO29일, 2008 스팸방지 가이드라인 개정(안) 공청회10791N2008-05-30 00:00:00N
176402222KO웹사이트 패스워드 안전성 높아진다10873N2008-05-29 00:00:00N
177402221KOKISA 황원장, 27일 서울대학교 행정대학원에서 강연10933N2008-05-27 00:00:00N
178402220KO보안서버를 찾으면 경품이 ‘펑펑!’11122N2008-05-19 00:00:00N
179402219KOKISA, 제5회 해킹방어대회 개최11030N2008-05-12 00:00:00N
180402218KO인터넷 환경에서의 패스워드 안전성 강화된다10735N2008-05-07 00:00:00N
181402217KO사이버 보안활동 국제협력 중요성 강조10810N2008-04-24 00:00:00N
182402216KO유출 정보, 제2, 3의 추가 피해 주의하세요!10763N2008-04-22 00:00:00N