Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.0 B

Variable types

Text4
Boolean1
DateTime1

Dataset

Description홈페이지 접속 시 게시되는 팝업과 배너 관리에 사용되는 데이터로 배너아이디, 배너명, 링크, 배너이미지, 반영여부, 최초등록일시 항목을 제공합니다.
Author한국공예디자인문화진흥원
URLhttps://www.data.go.kr/data/15072646/fileData.do

Alerts

배너아이디 has unique valuesUnique
배너명 has unique valuesUnique
링크 has unique valuesUnique
배너이미지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:23:40.660887
Analysis finished2023-12-12 05:23:41.535586
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

배너아이디
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:23:41.709801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowBANNER_0000000000250
2nd rowBANNER_0000000000260
3rd rowBANNER_0000000000261
4th rowBANNER_0000000000262
5th rowBANNER_0000000000263
ValueCountFrequency (%)
banner_0000000000250 1
 
4.5%
banner_0000000000260 1
 
4.5%
banner_0000000000310 1
 
4.5%
banner_0000000000300 1
 
4.5%
banner_0000000000290 1
 
4.5%
banner_0000000000280 1
 
4.5%
banner_0000000000275 1
 
4.5%
banner_0000000000274 1
 
4.5%
banner_0000000000273 1
 
4.5%
banner_0000000000272 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T14:23:42.110363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 229
52.0%
N 44
 
10.0%
B 22
 
5.0%
A 22
 
5.0%
E 22
 
5.0%
R 22
 
5.0%
_ 22
 
5.0%
2 22
 
5.0%
6 11
 
2.5%
7 7
 
1.6%
Other values (6) 17
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 286
65.0%
Uppercase Letter 132
30.0%
Connector Punctuation 22
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 229
80.1%
2 22
 
7.7%
6 11
 
3.8%
7 7
 
2.4%
3 5
 
1.7%
5 3
 
1.0%
1 3
 
1.0%
4 2
 
0.7%
8 2
 
0.7%
9 2
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 44
33.3%
B 22
16.7%
A 22
16.7%
E 22
16.7%
R 22
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 308
70.0%
Latin 132
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 229
74.4%
_ 22
 
7.1%
2 22
 
7.1%
6 11
 
3.6%
7 7
 
2.3%
3 5
 
1.6%
5 3
 
1.0%
1 3
 
1.0%
4 2
 
0.6%
8 2
 
0.6%
Latin
ValueCountFrequency (%)
N 44
33.3%
B 22
16.7%
A 22
16.7%
E 22
16.7%
R 22
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 229
52.0%
N 44
 
10.0%
B 22
 
5.0%
A 22
 
5.0%
E 22
 
5.0%
R 22
 
5.0%
_ 22
 
5.0%
2 22
 
5.0%
6 11
 
2.5%
7 7
 
1.6%
Other values (6) 17
 
3.9%

배너명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:23:42.362804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7.5
Mean length7.1818182
Min length4

Characters and Unicode

Total characters158
Distinct characters87
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row테스트입니다
2nd row문화체육관광부
3rd row문화포털
4th row정부24
5th row문화샘터
ValueCountFrequency (%)
kcdf 2
 
8.0%
테스트입니다 1
 
4.0%
한지분야육성지원사업 1
 
4.0%
전통문화포털 1
 
4.0%
공예창작지원센터 1
 
4.0%
공예db시스템 1
 
4.0%
종합정보 1
 
4.0%
공공디자인 1
 
4.0%
타이포잔치 1
 
4.0%
대한민국공공디자인대 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T14:23:42.760537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 9
 
5.7%
문 6
 
3.8%
화 6
 
3.8%
지 5
 
3.2%
예 5
 
3.2%
한 4
 
2.5%
정 4
 
2.5%
인 4
 
2.5%
D 3
 
1.9%
터 3
 
1.9%
Other values (77) 109
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
88.6%
Uppercase Letter 10
 
6.3%
Decimal Number 5
 
3.2%
Space Separator 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 9
 
6.4%
문 6
 
4.3%
화 6
 
4.3%
지 5
 
3.6%
예 5
 
3.6%
한 4
 
2.9%
정 4
 
2.9%
인 4
 
2.9%
터 3
 
2.1%
트 3
 
2.1%
Other values (68) 91
65.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
30.0%
F 2
20.0%
C 2
20.0%
K 2
20.0%
B 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 2
40.0%
8 1
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
88.6%
Latin 10
 
6.3%
Common 8
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 9
 
6.4%
문 6
 
4.3%
화 6
 
4.3%
지 5
 
3.6%
예 5
 
3.6%
한 4
 
2.9%
정 4
 
2.9%
인 4
 
2.9%
터 3
 
2.1%
트 3
 
2.1%
Other values (68) 91
65.0%
Latin
ValueCountFrequency (%)
D 3
30.0%
F 2
20.0%
C 2
20.0%
K 2
20.0%
B 1
 
10.0%
Common
ValueCountFrequency (%)
3
37.5%
2 2
25.0%
4 2
25.0%
8 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
88.6%
ASCII 18
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 9
 
6.4%
문 6
 
4.3%
화 6
 
4.3%
지 5
 
3.6%
예 5
 
3.6%
한 4
 
2.9%
정 4
 
2.9%
인 4
 
2.9%
터 3
 
2.1%
트 3
 
2.1%
Other values (68) 91
65.0%
ASCII
ValueCountFrequency (%)
D 3
16.7%
3
16.7%
F 2
11.1%
C 2
11.1%
K 2
11.1%
2 2
11.1%
4 2
11.1%
B 1
 
5.6%
8 1
 
5.6%

링크
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:23:43.026327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length37
Mean length33.272727
Min length18

Characters and Unicode

Total characters732
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowhttp://www.ftc.go.kr/www/index.do
2nd rowhttp://www.mcst.go.kr/main.jsp
3rd rowhttp://www.culture.go.kr/index.do
4th rowhttps://www.gov.kr/portal/main?Mcode=9999
5th rowhttp://stat.mcst.go.kr/mcst/WebPortal/public/main/main.html
ValueCountFrequency (%)
http://www.ftc.go.kr/www/index.do 1
 
4.5%
http://www.mcst.go.kr/main.jsp 1
 
4.5%
https://www.kculture.or.kr 1
 
4.5%
http://www.csic.kr 1
 
4.5%
https://www.kcdf.kr/kcdfdb 1
 
4.5%
https://publicdesign.kr/main.do 1
 
4.5%
http://typojanchi.org/2018 1
 
4.5%
https://www.kcdf.kr/award/main/usermain/awardmain.do 1
 
4.5%
https://www.kcdf.kr/craftrendfair/main/main.do 1
 
4.5%
https://www.kcdf.kr/material/main/main.do 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T14:23:43.435301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 82
 
11.2%
t 61
 
8.3%
. 54
 
7.4%
w 52
 
7.1%
r 40
 
5.5%
k 33
 
4.5%
h 30
 
4.1%
p 30
 
4.1%
a 30
 
4.1%
o 28
 
3.8%
Other values (29) 292
39.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 541
73.9%
Other Punctuation 160
 
21.9%
Decimal Number 23
 
3.1%
Uppercase Letter 6
 
0.8%
Math Symbol 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 61
 
11.3%
w 52
 
9.6%
r 40
 
7.4%
k 33
 
6.1%
h 30
 
5.5%
p 30
 
5.5%
a 30
 
5.5%
o 28
 
5.2%
i 27
 
5.0%
d 27
 
5.0%
Other values (14) 183
33.8%
Decimal Number
ValueCountFrequency (%)
0 5
21.7%
8 5
21.7%
2 4
17.4%
9 4
17.4%
4 3
13.0%
1 2
 
8.7%
Other Punctuation
ValueCountFrequency (%)
/ 82
51.2%
. 54
33.8%
: 22
 
13.8%
? 2
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
W 1
 
16.7%
P 1
 
16.7%
I 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 547
74.7%
Common 185
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 61
 
11.2%
w 52
 
9.5%
r 40
 
7.3%
k 33
 
6.0%
h 30
 
5.5%
p 30
 
5.5%
a 30
 
5.5%
o 28
 
5.1%
i 27
 
4.9%
d 27
 
4.9%
Other values (18) 189
34.6%
Common
ValueCountFrequency (%)
/ 82
44.3%
. 54
29.2%
: 22
 
11.9%
0 5
 
2.7%
8 5
 
2.7%
2 4
 
2.2%
9 4
 
2.2%
4 3
 
1.6%
= 2
 
1.1%
? 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 82
 
11.2%
t 61
 
8.3%
. 54
 
7.4%
w 52
 
7.1%
r 40
 
5.5%
k 33
 
4.5%
h 30
 
4.1%
p 30
 
4.1%
a 30
 
4.1%
o 28
 
3.8%
Other values (29) 292
39.9%

배너이미지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T14:23:43.687777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11.181818
Min length7

Characters and Unicode

Total characters246
Distinct characters103
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowtest_image.jpg
2nd row문체북.png
3rd row문화포털.png
4th row대한민국정부.png
5th row문화셈터.png
ValueCountFrequency (%)
test_image.jpg 1
 
4.2%
문체북.png 1
 
4.2%
전통문화포털.png 1
 
4.2%
공예창작지원센터-로고.jpg 1
 
4.2%
공예db.jpg 1
 
4.2%
002.png 1
 
4.2%
이미지 1
 
4.2%
타이포잔치.png 1
 
4.2%
공공디자인대상.png 1
 
4.2%
공예트랜드페어.png 1
 
4.2%
Other values (14) 14
58.3%
2023-12-12T14:23:44.108268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 22
 
8.9%
. 22
 
8.9%
p 21
 
8.5%
n 16
 
6.5%
공 8
 
3.3%
예 6
 
2.4%
- 6
 
2.4%
j 5
 
2.0%
문 5
 
2.0%
지 4
 
1.6%
Other values (93) 131
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
43.5%
Lowercase Letter 82
33.3%
Other Punctuation 22
 
8.9%
Decimal Number 17
 
6.9%
Uppercase Letter 9
 
3.7%
Dash Punctuation 6
 
2.4%
Space Separator 2
 
0.8%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 8
 
7.5%
예 6
 
5.6%
문 5
 
4.7%
지 4
 
3.7%
화 4
 
3.7%
한 3
 
2.8%
포 3
 
2.8%
정 3
 
2.8%
터 3
 
2.8%
서 2
 
1.9%
Other values (57) 66
61.7%
Lowercase Letter
ValueCountFrequency (%)
g 22
26.8%
p 21
25.6%
n 16
19.5%
j 5
 
6.1%
c 3
 
3.7%
t 2
 
2.4%
e 2
 
2.4%
k 2
 
2.4%
d 2
 
2.4%
f 2
 
2.4%
Other values (4) 5
 
6.1%
Decimal Number
ValueCountFrequency (%)
0 4
23.5%
4 3
17.6%
2 2
11.8%
1 2
11.8%
7 1
 
5.9%
5 1
 
5.9%
3 1
 
5.9%
9 1
 
5.9%
8 1
 
5.9%
6 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
G 1
11.1%
P 1
11.1%
J 1
11.1%
B 1
11.1%
K 1
11.1%
C 1
11.1%
F 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
43.5%
Latin 91
37.0%
Common 48
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 8
 
7.5%
예 6
 
5.6%
문 5
 
4.7%
지 4
 
3.7%
화 4
 
3.7%
한 3
 
2.8%
포 3
 
2.8%
정 3
 
2.8%
터 3
 
2.8%
서 2
 
1.9%
Other values (57) 66
61.7%
Latin
ValueCountFrequency (%)
g 22
24.2%
p 21
23.1%
n 16
17.6%
j 5
 
5.5%
c 3
 
3.3%
D 2
 
2.2%
t 2
 
2.2%
e 2
 
2.2%
k 2
 
2.2%
d 2
 
2.2%
Other values (12) 14
15.4%
Common
ValueCountFrequency (%)
. 22
45.8%
- 6
 
12.5%
0 4
 
8.3%
4 3
 
6.2%
2 2
 
4.2%
1 2
 
4.2%
2
 
4.2%
7 1
 
2.1%
5 1
 
2.1%
3 1
 
2.1%
Other values (4) 4
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
56.5%
Hangul 107
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 22
15.8%
. 22
15.8%
p 21
15.1%
n 16
11.5%
- 6
 
4.3%
j 5
 
3.6%
0 4
 
2.9%
4 3
 
2.2%
c 3
 
2.2%
2 2
 
1.4%
Other values (26) 35
25.2%
Hangul
ValueCountFrequency (%)
공 8
 
7.5%
예 6
 
5.6%
문 5
 
4.7%
지 4
 
3.7%
화 4
 
3.7%
한 3
 
2.8%
포 3
 
2.8%
정 3
 
2.8%
터 3
 
2.8%
서 2
 
1.9%
Other values (57) 66
61.7%

반영여부
Boolean

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
18 
False
4 
ValueCountFrequency (%)
True 18
81.8%
False 4
 
18.2%
2023-12-12T14:23:44.276624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최초등록일시
Date

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2019-01-21 16:11:00
Maximum2021-07-15 14:48:00
2023-12-12T14:23:44.405663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:44.537684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

Correlations

2023-12-12T14:23:44.635235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배너아이디배너명링크배너이미지반영여부최초등록일시
배너아이디1.0001.0001.0001.0001.0001.000
배너명1.0001.0001.0001.0001.0001.000
링크1.0001.0001.0001.0001.0001.000
배너이미지1.0001.0001.0001.0001.0001.000
반영여부1.0001.0001.0001.0001.0000.437
최초등록일시1.0001.0001.0001.0000.4371.000

Missing values

2023-12-12T14:23:41.329081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:23:41.482025image/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

배너아이디배너명링크배너이미지반영여부최초등록일시
0BANNER_0000000000250테스트입니다http://www.ftc.go.kr/www/index.dotest_image.jpgN2019-01-21 16:11
1BANNER_0000000000260문화체육관광부http://www.mcst.go.kr/main.jsp문체북.pngY2019-01-25 16:23
2BANNER_0000000000261문화포털http://www.culture.go.kr/index.do문화포털.pngY2019-01-25 16:23
3BANNER_0000000000262정부24https://www.gov.kr/portal/main?Mcode=9999대한민국정부.pngY2019-01-25 16:24
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