Overview

Dataset statistics

Number of variables3
Number of observations97
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory25.4 B

Variable types

Text2
DateTime1

Dataset

Description도서관홈페이지에서 개방하고있는 사이트 메뉴정보입니다. 도서관홈페이지 정보시스템 보안문제로 메뉴명만 개방합니다.
URLhttps://www.data.go.kr/data/15120381/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 19:47:16.411103
Analysis finished2023-12-12 19:47:17.319931
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

alias
Text

Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-13T04:47:17.597075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length9.4845361
Min length3

Characters and Unicode

Total characters920
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)93.8%

Sample

1st rowmain
2nd rowmenuContents
3rd rowsiteMenu
4th rowsiteContent
5th rowlink
ValueCountFrequency (%)
main 2
 
2.1%
culturalevents 2
 
2.1%
smalllibrary 2
 
2.1%
logout 2
 
2.1%
login 2
 
2.1%
bannelist 1
 
1.0%
memberservice 1
 
1.0%
banner 1
 
1.0%
readingdonggu 1
 
1.0%
namecheck 1
 
1.0%
Other values (82) 82
84.5%
2023-12-13T04:47:18.120471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 94
 
10.2%
e 77
 
8.4%
r 70
 
7.6%
a 64
 
7.0%
i 52
 
5.7%
n 51
 
5.5%
t 47
 
5.1%
l 41
 
4.5%
s 33
 
3.6%
u 30
 
3.3%
Other values (40) 361
39.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 766
83.3%
Uppercase Letter 147
 
16.0%
Decimal Number 4
 
0.4%
Connector Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 94
12.3%
e 77
 
10.1%
r 70
 
9.1%
a 64
 
8.4%
i 52
 
6.8%
n 51
 
6.7%
t 47
 
6.1%
l 41
 
5.4%
s 33
 
4.3%
u 30
 
3.9%
Other values (14) 207
27.0%
Uppercase Letter
ValueCountFrequency (%)
L 22
15.0%
B 20
13.6%
S 18
12.2%
M 15
10.2%
C 13
8.8%
I 13
8.8%
N 6
 
4.1%
R 6
 
4.1%
E 5
 
3.4%
P 5
 
3.4%
Other values (12) 24
16.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
3 1
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 913
99.2%
Common 7
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 94
 
10.3%
e 77
 
8.4%
r 70
 
7.7%
a 64
 
7.0%
i 52
 
5.7%
n 51
 
5.6%
t 47
 
5.1%
l 41
 
4.5%
s 33
 
3.6%
u 30
 
3.3%
Other values (36) 354
38.8%
Common
ValueCountFrequency (%)
_ 3
42.9%
1 2
28.6%
2 1
 
14.3%
3 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 94
 
10.2%
e 77
 
8.4%
r 70
 
7.6%
a 64
 
7.0%
i 52
 
5.7%
n 51
 
5.5%
t 47
 
5.1%
l 41
 
4.5%
s 33
 
3.6%
u 30
 
3.3%
Other values (40) 361
39.2%

name
Text

Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-13T04:47:18.462387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length6.6494845
Min length3

Characters and Unicode

Total characters645
Distinct characters168
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

Unique91 ?
Unique (%)93.8%

Sample

1st row대시보드
2nd row메뉴 콘텐츠 관리
3rd row메뉴 관리
4th row콘텐츠 관리
5th row링크 관리
ValueCountFrequency (%)
관리 21
 
11.7%
스마트도서관 6
 
3.4%
작은도서관 6
 
3.4%
소개 4
 
2.2%
행사 4
 
2.2%
게시판 4
 
2.2%
책 4
 
2.2%
시스템 3
 
1.7%
및 3
 
1.7%
신청 3
 
1.7%
Other values (99) 121
67.6%
2023-12-13T04:47:19.079088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
12.7%
관 40
 
6.2%
서 31
 
4.8%
리 27
 
4.2%
도 22
 
3.4%
이 14
 
2.2%
시 13
 
2.0%
사 12
 
1.9%
스 12
 
1.9%
인 10
 
1.6%
Other values (158) 382
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
85.6%
Space Separator 82
 
12.7%
Uppercase Letter 6
 
0.9%
Decimal Number 3
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 40
 
7.2%
서 31
 
5.6%
리 27
 
4.9%
도 22
 
4.0%
이 14
 
2.5%
시 13
 
2.4%
사 12
 
2.2%
스 12
 
2.2%
인 10
 
1.8%
로 9
 
1.6%
Other values (147) 362
65.6%
Uppercase Letter
ValueCountFrequency (%)
V 1
16.7%
R 1
16.7%
E 1
16.7%
X 1
16.7%
M 1
16.7%
S 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
82
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
85.6%
Common 87
 
13.5%
Latin 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 40
 
7.2%
서 31
 
5.6%
리 27
 
4.9%
도 22
 
4.0%
이 14
 
2.5%
시 13
 
2.4%
사 12
 
2.2%
스 12
 
2.2%
인 10
 
1.8%
로 9
 
1.6%
Other values (147) 362
65.6%
Latin
ValueCountFrequency (%)
V 1
16.7%
R 1
16.7%
E 1
16.7%
X 1
16.7%
M 1
16.7%
S 1
16.7%
Common
ValueCountFrequency (%)
82
94.3%
/ 2
 
2.3%
1 1
 
1.1%
3 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
85.6%
ASCII 93
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
88.2%
/ 2
 
2.2%
V 1
 
1.1%
1 1
 
1.1%
3 1
 
1.1%
R 1
 
1.1%
2 1
 
1.1%
E 1
 
1.1%
X 1
 
1.1%
M 1
 
1.1%
Hangul
ValueCountFrequency (%)
관 40
 
7.2%
서 31
 
5.6%
리 27
 
4.9%
도 22
 
4.0%
이 14
 
2.5%
시 13
 
2.4%
사 12
 
2.2%
스 12
 
2.2%
인 10
 
1.8%
로 9
 
1.6%
Other values (147) 362
65.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2023-08-25 00:00:00
Maximum2023-08-25 00:00:00
2023-12-13T04:47:19.246516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:47:19.712987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T04:47:19.805555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
aliasname
alias1.0000.993
name0.9931.000

Missing values

2023-12-13T04:47:17.180706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:47:17.281857image/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

aliasname데이터기준일자
0main대시보드2023-08-25
1menuContents메뉴 콘텐츠 관리2023-08-25
2siteMenu메뉴 관리2023-08-25
3siteContent콘텐츠 관리2023-08-25
4link링크 관리2023-08-25
5popup팝업존 관리2023-08-25
6visual비주얼 이미지 관리2023-08-25
7boardMenu게시판 관리2023-08-25
8boardConfig게시판 관리2023-08-25
9board게시물 관리2023-08-25
aliasname데이터기준일자
87VRTour도서관 VR투어2023-08-25
88QuickLoan동네서점 바로대출2023-08-25
89smartLib스마트도서관2023-08-25
90SmartIntro스마트도서관 현황 및 소개2023-08-25
91SmartNotice스마트도서관 소식2023-08-25
92SmartLibraryInfo_1스마트도서관 1호점2023-08-25
93SmartLibraryInfo_2스마트도서관 2호점2023-08-25
94Ask사서에게 물어보세요2023-08-25
95SmartLibraryInfo_3스마트도서관 3호점2023-08-25
96MembershipCard모바일회원증2023-08-25