Overview

Dataset statistics

Number of variables11
Number of observations347
Missing cells636
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.3 KiB
Average record size in memory89.4 B

Variable types

Categorical4
Text5
Unsupported1
DateTime1

Dataset

Description한국디자인진흥원이 운영하는 웹사이트 디자인DB에 아카이브된 한국 디자인 모티브 중 공예 카테고리의 게시글 목록을 제공합니다.
URLhttps://www.data.go.kr/data/15116442/fileData.do

Alerts

대분류 has constant value ""Constant
제작목적 is highly overall correlated with 이용대상High correlation
이용대상 is highly overall correlated with 제작목적High correlation
제작목적 is highly imbalanced (66.9%)Imbalance
이용대상 is highly imbalanced (60.8%)Imbalance
제품군명 has 14 (4.0%) missing valuesMissing
설명 has 275 (79.3%) missing valuesMissing
제작년도 has 347 (100.0%) missing valuesMissing
이미지파일명 has unique valuesUnique
홈페이지주소 has unique valuesUnique
제작년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 08:24:32.915820
Analysis finished2023-12-12 08:24:33.970775
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공예
347 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공예 347
100.0%

Length

2023-12-12T17:24:34.097849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:34.191203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공예 347
100.0%

소분류
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
도자공예
120 
<NA>
107 
목공예
88 
금속공예
24 
칠기공예
 
8

Length

Max length4
Median length4
Mean length3.7463977
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도자공예 120
34.6%
<NA> 107
30.8%
목공예 88
25.4%
금속공예 24
 
6.9%
칠기공예 8
 
2.3%

Length

2023-12-12T17:24:34.303318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:34.405765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도자공예 120
34.6%
na 107
30.8%
목공예 88
25.4%
금속공예 24
 
6.9%
칠기공예 8
 
2.3%

제품군명
Text

MISSING 

Distinct168
Distinct (%)50.5%
Missing14
Missing (%)4.0%
Memory size2.8 KiB
2023-12-12T17:24:34.730507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length4.2702703
Min length1

Characters and Unicode

Total characters1422
Distinct characters187
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

Unique125 ?
Unique (%)37.5%

Sample

1st row등잔
2nd row촛대
3rd row
4th row금관
5th row
ValueCountFrequency (%)
청자 24
 
5.0%
보자기 21
 
4.4%
21
 
4.4%
가구 15
 
3.1%
청화백자 15
 
3.1%
분청사기 14
 
2.9%
베겟모 12
 
2.5%
11
 
2.3%
10
 
2.1%
수납장 10
 
2.1%
Other values (174) 326
68.1%
2023-12-12T17:24:35.211869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
10.3%
107
 
7.5%
74
 
5.2%
52
 
3.7%
45
 
3.2%
40
 
2.8%
39
 
2.7%
34
 
2.4%
28
 
2.0%
28
 
2.0%
Other values (177) 829
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1245
87.6%
Space Separator 146
 
10.3%
Lowercase Letter 18
 
1.3%
Other Punctuation 13
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
107
 
8.6%
74
 
5.9%
52
 
4.2%
45
 
3.6%
40
 
3.2%
39
 
3.1%
34
 
2.7%
28
 
2.2%
28
 
2.2%
27
 
2.2%
Other values (170) 771
61.9%
Lowercase Letter
ValueCountFrequency (%)
s 6
33.3%
t 3
16.7%
l 3
16.7%
e 3
16.7%
a 3
16.7%
Space Separator
ValueCountFrequency (%)
146
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1245
87.6%
Common 159
 
11.2%
Latin 18
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
107
 
8.6%
74
 
5.9%
52
 
4.2%
45
 
3.6%
40
 
3.2%
39
 
3.1%
34
 
2.7%
28
 
2.2%
28
 
2.2%
27
 
2.2%
Other values (170) 771
61.9%
Latin
ValueCountFrequency (%)
s 6
33.3%
t 3
16.7%
l 3
16.7%
e 3
16.7%
a 3
16.7%
Common
ValueCountFrequency (%)
146
91.8%
, 13
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1245
87.6%
ASCII 177
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
82.5%
, 13
 
7.3%
s 6
 
3.4%
t 3
 
1.7%
l 3
 
1.7%
e 3
 
1.7%
a 3
 
1.7%
Hangul
ValueCountFrequency (%)
107
 
8.6%
74
 
5.9%
52
 
4.2%
45
 
3.6%
40
 
3.2%
39
 
3.1%
34
 
2.7%
28
 
2.2%
28
 
2.2%
27
 
2.2%
Other values (170) 771
61.9%
Distinct249
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T17:24:35.540733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.3429395
Min length1

Characters and Unicode

Total characters1854
Distinct characters234
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

Unique203 ?
Unique (%)58.5%

Sample

1st row유제등잔
2nd row와룡촛대
3rd row금관
4th row대가야금관
5th row유경
ValueCountFrequency (%)
청자 22
 
4.4%
보자기 15
 
3.0%
청화백자 15
 
3.0%
베겟모 12
 
2.4%
11
 
2.2%
흑백상감 9
 
1.8%
대접 9
 
1.8%
주머니 8
 
1.6%
주병 7
 
1.4%
국화문 7
 
1.4%
Other values (267) 385
77.0%
2023-12-12T17:24:36.130287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
8.3%
120
 
6.5%
87
 
4.7%
71
 
3.8%
65
 
3.5%
54
 
2.9%
44
 
2.4%
43
 
2.3%
35
 
1.9%
33
 
1.8%
Other values (224) 1149
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1673
90.2%
Space Separator 153
 
8.3%
Lowercase Letter 18
 
1.0%
Other Punctuation 9
 
0.5%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
120
 
7.2%
87
 
5.2%
71
 
4.2%
65
 
3.9%
54
 
3.2%
44
 
2.6%
43
 
2.6%
35
 
2.1%
33
 
2.0%
32
 
1.9%
Other values (216) 1089
65.1%
Lowercase Letter
ValueCountFrequency (%)
s 6
33.3%
a 3
16.7%
l 3
16.7%
e 3
16.7%
t 3
16.7%
Space Separator
ValueCountFrequency (%)
153
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1673
90.2%
Common 163
 
8.8%
Latin 18
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
120
 
7.2%
87
 
5.2%
71
 
4.2%
65
 
3.9%
54
 
3.2%
44
 
2.6%
43
 
2.6%
35
 
2.1%
33
 
2.0%
32
 
1.9%
Other values (216) 1089
65.1%
Latin
ValueCountFrequency (%)
s 6
33.3%
a 3
16.7%
l 3
16.7%
e 3
16.7%
t 3
16.7%
Common
ValueCountFrequency (%)
153
93.9%
, 9
 
5.5%
4 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1673
90.2%
ASCII 181
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
84.5%
, 9
 
5.0%
s 6
 
3.3%
a 3
 
1.7%
l 3
 
1.7%
e 3
 
1.7%
t 3
 
1.7%
4 1
 
0.6%
Hangul
ValueCountFrequency (%)
120
 
7.2%
87
 
5.2%
71
 
4.2%
65
 
3.9%
54
 
3.2%
44
 
2.6%
43
 
2.6%
35
 
2.1%
33
 
2.0%
32
 
1.9%
Other values (216) 1089
65.1%

설명
Text

MISSING 

Distinct69
Distinct (%)95.8%
Missing275
Missing (%)79.3%
Memory size2.8 KiB
2023-12-12T17:24:36.632398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length244
Median length125
Mean length104.01389
Min length7

Characters and Unicode

Total characters7489
Distinct characters582
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)91.7%

Sample

1st row지름 28cm,높이 73cm
2nd row예불의 변함없는 모습은 역시 절하는 것이다.두 무릎과 두 팔, 이마를 바닥에 붙이는 오체투지로써 삼보에 귀의하는 것이다.
3rd row금속공방은 기본소재로 금,은,동,철,석(錫)등의 오금(五金)을 다루어왔다.금속공방에서 쓰여지는 기법은 주금(鑄金)과 단금(鍛金), 조금(彫金)등의 기법이 있으며,이 밖에 장식을 위한(鍍金)과 도금세공법(鍍金細工法)등이 있다.신라의 금관과 허리띠,그리고 귀걸이 등이 대표적인 유물이라고 할 수 있다.
4th row경북 고령 출토. 호암미술관 소장. 국보 제 138호후기 가야의 왕권을 상징하는 것으로 아직도 신비에 싸여있는 가야문화를 대표하는 유물이다.
5th row청자라 함은 비색 청자가 세계 제일의 명작으로 볼 때 이 황청자는 보기드문 명품이다.음각한 자리가 너무나 신비스러워 탐스럽기까지 하다.
ValueCountFrequency (%)
높이 14
 
0.9%
있다 10
 
0.6%
9
 
0.6%
9
 
0.6%
있는 7
 
0.4%
7
 
0.4%
영감을 7
 
0.4%
6
 
0.4%
6
 
0.4%
한다 6
 
0.4%
Other values (1310) 1538
95.0%
2023-12-12T17:24:37.639988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1557
 
20.8%
197
 
2.6%
. 167
 
2.2%
163
 
2.2%
135
 
1.8%
128
 
1.7%
119
 
1.6%
, 117
 
1.6%
113
 
1.5%
92
 
1.2%
Other values (572) 4701
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5435
72.6%
Space Separator 1557
 
20.8%
Other Punctuation 287
 
3.8%
Decimal Number 125
 
1.7%
Lowercase Letter 61
 
0.8%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
197
 
3.6%
163
 
3.0%
135
 
2.5%
128
 
2.4%
119
 
2.2%
113
 
2.1%
92
 
1.7%
87
 
1.6%
85
 
1.6%
85
 
1.6%
Other values (548) 4231
77.8%
Decimal Number
ValueCountFrequency (%)
1 40
32.0%
2 18
14.4%
5 11
 
8.8%
0 10
 
8.0%
9 10
 
8.0%
8 9
 
7.2%
3 9
 
7.2%
6 7
 
5.6%
4 6
 
4.8%
7 5
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
c 28
45.9%
m 28
45.9%
l 2
 
3.3%
d 1
 
1.6%
f 1
 
1.6%
r 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 167
58.2%
, 117
40.8%
* 2
 
0.7%
: 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1557
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5411
72.3%
Common 1993
 
26.6%
Latin 61
 
0.8%
Han 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
197
 
3.6%
163
 
3.0%
135
 
2.5%
128
 
2.4%
119
 
2.2%
113
 
2.1%
92
 
1.7%
87
 
1.6%
85
 
1.6%
85
 
1.6%
Other values (531) 4207
77.7%
Common
ValueCountFrequency (%)
1557
78.1%
. 167
 
8.4%
, 117
 
5.9%
1 40
 
2.0%
2 18
 
0.9%
5 11
 
0.6%
( 11
 
0.6%
) 11
 
0.6%
0 10
 
0.5%
9 10
 
0.5%
Other values (8) 41
 
2.1%
Han
ValueCountFrequency (%)
6
25.0%
2
 
8.3%
2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (7) 7
29.2%
Latin
ValueCountFrequency (%)
c 28
45.9%
m 28
45.9%
l 2
 
3.3%
d 1
 
1.6%
f 1
 
1.6%
r 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5411
72.3%
ASCII 2054
 
27.4%
CJK 18
 
0.2%
CJK Compat Ideographs 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1557
75.8%
. 167
 
8.1%
, 117
 
5.7%
1 40
 
1.9%
c 28
 
1.4%
m 28
 
1.4%
2 18
 
0.9%
5 11
 
0.5%
( 11
 
0.5%
) 11
 
0.5%
Other values (14) 66
 
3.2%
Hangul
ValueCountFrequency (%)
197
 
3.6%
163
 
3.0%
135
 
2.5%
128
 
2.4%
119
 
2.2%
113
 
2.1%
92
 
1.7%
87
 
1.6%
85
 
1.6%
85
 
1.6%
Other values (531) 4207
77.7%
CJK Compat Ideographs
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (6) 6
33.3%

제작년도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing347
Missing (%)100.0%
Memory size3.2 KiB

제작목적
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
267 
가정용
51 
전시용
 
13
혼례용
 
3
불교
 
3
Other values (8)
 
10

Length

Max length5
Median length4
Mean length3.7636888
Min length2

Unique

Unique6 ?
Unique (%)1.7%

Sample

1st row전시용
2nd row가정용
3rd row전시용
4th row<NA>
5th row가정용

Common Values

ValueCountFrequency (%)
<NA> 267
76.9%
가정용 51
 
14.7%
전시용 13
 
3.7%
혼례용 3
 
0.9%
불교 3
 
0.9%
야행용 2
 
0.6%
학습용 2
 
0.6%
수납용 1
 
0.3%
공연용 1
 
0.3%
임금하사용 1
 
0.3%
Other values (3) 3
 
0.9%

Length

2023-12-12T17:24:37.841663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 267
76.9%
가정용 51
 
14.7%
전시용 13
 
3.7%
혼례용 3
 
0.9%
불교 3
 
0.9%
야행용 2
 
0.6%
학습용 2
 
0.6%
수납용 1
 
0.3%
공연용 1
 
0.3%
임금하사용 1
 
0.3%
Other values (3) 3
 
0.9%

이용대상
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
258 
일반
64 
여성
 
14
남성
 
5
선비
 
3
Other values (3)
 
3

Length

Max length6
Median length4
Mean length3.5129683
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row일반
2nd row일반
3rd row일반
4th row<NA>
5th row일반

Common Values

ValueCountFrequency (%)
<NA> 258
74.4%
일반 64
 
18.4%
여성 14
 
4.0%
남성 5
 
1.4%
선비 3
 
0.9%
친척, 중신 1
 
0.3%
왕실, 가마 1
 
0.3%
보부상 1
 
0.3%

Length

2023-12-12T17:24:38.001803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:24:38.132157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 258
73.9%
일반 64
 
18.3%
여성 14
 
4.0%
남성 5
 
1.4%
선비 3
 
0.9%
친척 1
 
0.3%
중신 1
 
0.3%
왕실 1
 
0.3%
가마 1
 
0.3%
보부상 1
 
0.3%
Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2000-02-21 00:00:00
Maximum2000-08-08 00:00:00
2023-12-12T17:24:38.236216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:24:38.350646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

이미지파일명
Text

UNIQUE 

Distinct347
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T17:24:38.607733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters5552
Distinct characters15
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

Unique347 ?
Unique (%)100.0%

Sample

1st row0000046088P.JPG
2nd row0000052687P.JPG
3rd row0000046062P.JPG
4th row0000048249P.JPG
5th row0000052710P.JPG
ValueCountFrequency (%)
0000046088p.jpg 1
 
0.3%
0000050095p.jpg 1
 
0.3%
0000048158p.jpg 1
 
0.3%
0000048285p.jpg 1
 
0.3%
0000050532p.jpg 1
 
0.3%
0000048261p.jpg 1
 
0.3%
0000217192p.jpg 1
 
0.3%
0000217191p.jpg 1
 
0.3%
0000217190p.jpg 1
 
0.3%
0000059989p.jpg 1
 
0.3%
Other values (337) 337
97.1%
2023-12-12T17:24:39.042467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1917
34.5%
P 694
 
12.5%
. 347
 
6.2%
J 347
 
6.2%
G 347
 
6.2%
347
 
6.2%
5 282
 
5.1%
1 274
 
4.9%
2 230
 
4.1%
7 180
 
3.2%
Other values (5) 587
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3470
62.5%
Uppercase Letter 1388
 
25.0%
Other Punctuation 347
 
6.2%
Space Separator 347
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1917
55.2%
5 282
 
8.1%
1 274
 
7.9%
2 230
 
6.6%
7 180
 
5.2%
6 172
 
5.0%
8 124
 
3.6%
4 111
 
3.2%
3 96
 
2.8%
9 84
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
P 694
50.0%
J 347
25.0%
G 347
25.0%
Other Punctuation
ValueCountFrequency (%)
. 347
100.0%
Space Separator
ValueCountFrequency (%)
347
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4164
75.0%
Latin 1388
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1917
46.0%
. 347
 
8.3%
347
 
8.3%
5 282
 
6.8%
1 274
 
6.6%
2 230
 
5.5%
7 180
 
4.3%
6 172
 
4.1%
8 124
 
3.0%
4 111
 
2.7%
Other values (2) 180
 
4.3%
Latin
ValueCountFrequency (%)
P 694
50.0%
J 347
25.0%
G 347
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1917
34.5%
P 694
 
12.5%
. 347
 
6.2%
J 347
 
6.2%
G 347
 
6.2%
347
 
6.2%
5 282
 
5.1%
1 274
 
4.9%
2 230
 
4.1%
7 180
 
3.2%
Other values (5) 587
 
10.6%

홈페이지주소
Text

UNIQUE 

Distinct347
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T17:24:39.357332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length48
Mean length48.239193
Min length48

Characters and Unicode

Total characters16739
Distinct characters31
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

Unique347 ?
Unique (%)100.0%

Sample

1st rowhttps://www.designdb.com/?menuno=1323&psno=46088
2nd rowhttps://www.designdb.com/?menuno=1323&psno=52687
3rd rowhttps://www.designdb.com/?menuno=1323&psno=46062
4th rowhttps://www.designdb.com/?menuno=1323&psno=48249
5th rowhttps://www.designdb.com/?menuno=1323&psno=52710
ValueCountFrequency (%)
https://www.designdb.com/?menuno=1323&psno=46088 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=50095 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=48158 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=48285 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=50532 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=48261 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=217192 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=217191 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=217190 1
 
0.3%
https://www.designdb.com/?menuno=1323&psno=59989 1
 
0.3%
Other values (337) 337
97.1%
2023-12-12T17:24:39.870905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 1388
 
8.3%
o 1041
 
6.2%
s 1041
 
6.2%
/ 1041
 
6.2%
w 1041
 
6.2%
3 790
 
4.7%
e 694
 
4.1%
t 694
 
4.1%
= 694
 
4.1%
d 694
 
4.1%
Other values (21) 7621
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10063
60.1%
Decimal Number 3206
 
19.2%
Other Punctuation 2776
 
16.6%
Math Symbol 694
 
4.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1388
13.8%
o 1041
10.3%
s 1041
10.3%
w 1041
10.3%
e 694
 
6.9%
t 694
 
6.9%
d 694
 
6.9%
p 694
 
6.9%
m 694
 
6.9%
u 347
 
3.4%
Other values (5) 1735
17.2%
Decimal Number
ValueCountFrequency (%)
3 790
24.6%
1 621
19.4%
2 577
18.0%
5 282
 
8.8%
0 265
 
8.3%
7 180
 
5.6%
6 172
 
5.4%
8 124
 
3.9%
4 111
 
3.5%
9 84
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 1041
37.5%
. 694
25.0%
& 347
 
12.5%
? 347
 
12.5%
: 347
 
12.5%
Math Symbol
ValueCountFrequency (%)
= 694
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10063
60.1%
Common 6676
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 1041
15.6%
3 790
11.8%
= 694
10.4%
. 694
10.4%
1 621
9.3%
2 577
8.6%
& 347
 
5.2%
? 347
 
5.2%
: 347
 
5.2%
5 282
 
4.2%
Other values (6) 936
14.0%
Latin
ValueCountFrequency (%)
n 1388
13.8%
o 1041
10.3%
s 1041
10.3%
w 1041
10.3%
e 694
 
6.9%
t 694
 
6.9%
d 694
 
6.9%
p 694
 
6.9%
m 694
 
6.9%
u 347
 
3.4%
Other values (5) 1735
17.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 1388
 
8.3%
o 1041
 
6.2%
s 1041
 
6.2%
/ 1041
 
6.2%
w 1041
 
6.2%
3 790
 
4.7%
e 694
 
4.1%
t 694
 
4.1%
= 694
 
4.1%
d 694
 
4.1%
Other values (21) 7621
45.5%

Correlations

2023-12-12T17:24:40.019347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류설명제작목적이용대상등록일
소분류1.0000.6640.5860.0000.743
설명0.6641.0001.0001.0001.000
제작목적0.5861.0001.0000.9520.988
이용대상0.0001.0000.9521.0000.537
등록일0.7431.0000.9880.5371.000
2023-12-12T17:24:40.134719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류이용대상제작목적
소분류1.0000.0000.282
이용대상0.0001.0000.796
제작목적0.2820.7961.000
2023-12-12T17:24:40.256722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류제작목적이용대상
소분류1.0000.2820.000
제작목적0.2821.0000.796
이용대상0.0000.7961.000

Missing values

2023-12-12T17:24:33.648558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:24:33.783665image/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.
2023-12-12T17:24:33.899676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대분류소분류제품군명제품명설명제작년도제작목적이용대상등록일이미지파일명홈페이지주소
0공예금속공예등잔유제등잔지름 28cm,높이 73cm<NA>전시용일반2000-02-210000046088P.JPGhttps://www.designdb.com/?menuno=1323&psno=46088
1공예금속공예촛대와룡촛대예불의 변함없는 모습은 역시 절하는 것이다.두 무릎과 두 팔, 이마를 바닥에 붙이는 오체투지로써 삼보에 귀의하는 것이다.<NA>가정용일반2000-02-220000052687P.JPGhttps://www.designdb.com/?menuno=1323&psno=52687
2공예금속공예금관금속공방은 기본소재로 금,은,동,철,석(錫)등의 오금(五金)을 다루어왔다.금속공방에서 쓰여지는 기법은 주금(鑄金)과 단금(鍛金), 조금(彫金)등의 기법이 있으며,이 밖에 장식을 위한(鍍金)과 도금세공법(鍍金細工法)등이 있다.신라의 금관과 허리띠,그리고 귀걸이 등이 대표적인 유물이라고 할 수 있다.<NA>전시용일반2000-02-210000046062P.JPGhttps://www.designdb.com/?menuno=1323&psno=46062
3공예금속공예금관대가야금관경북 고령 출토. 호암미술관 소장. 국보 제 138호후기 가야의 왕권을 상징하는 것으로 아직도 신비에 싸여있는 가야문화를 대표하는 유물이다.<NA><NA><NA>2000-02-210000048249P.JPGhttps://www.designdb.com/?menuno=1323&psno=48249
4공예금속공예유경<NA><NA>가정용일반2000-02-220000052710P.JPGhttps://www.designdb.com/?menuno=1323&psno=52710
5공예금속공예유경<NA><NA>가정용일반2000-02-220000052711P.JPGhttps://www.designdb.com/?menuno=1323&psno=52711
6공예금속공예화로놋화로<NA><NA>가정용일반2000-02-220000052718P.JPGhttps://www.designdb.com/?menuno=1323&psno=52718
7공예금속공예불상청동여래좌상<NA><NA><NA>일반2000-02-210000050017P.JPGhttps://www.designdb.com/?menuno=1323&psno=50017
8공예금속공예청동운룡문운판청동운룡문운판<NA><NA><NA><NA>2000-02-210000048247P.JPGhttps://www.designdb.com/?menuno=1323&psno=48247
9공예금속공예거울다뉴세문경<NA><NA><NA><NA>2000-02-210000050013P.JPGhttps://www.designdb.com/?menuno=1323&psno=50013
대분류소분류제품군명제품명설명제작년도제작목적이용대상등록일이미지파일명홈페이지주소
337공예<NA>도장원경왕후인<NA><NA><NA><NA>2000-02-210000050061P.JPGhttps://www.designdb.com/?menuno=1323&psno=50061
338공예<NA>청동용두보당청동용두보당<NA><NA><NA><NA>2000-02-210000050322P.JPGhttps://www.designdb.com/?menuno=1323&psno=50322
339공예<NA>청동용두보당청동용두보당<NA><NA><NA><NA>2000-02-210000050323P.JPGhttps://www.designdb.com/?menuno=1323&psno=50323
340공예<NA>필통필통<NA><NA><NA><NA>2000-02-210000050338P.JPGhttps://www.designdb.com/?menuno=1323&psno=50338
341공예<NA>들화로들화로<NA><NA><NA><NA>2000-02-210000050339P.JPGhttps://www.designdb.com/?menuno=1323&psno=50339
342공예<NA>가구무늬가구무늬<NA><NA><NA><NA>2000-02-230000059990P.JPGhttps://www.designdb.com/?menuno=1323&psno=59990
343공예<NA>단계석 벼루단계석 벼루<NA><NA><NA><NA>2000-08-080000217184P.JPGhttps://www.designdb.com/?menuno=1323&psno=217184
344공예<NA>십장생 벼루십장생 벼루<NA><NA><NA><NA>2000-08-080000217185P.JPGhttps://www.designdb.com/?menuno=1323&psno=217185
345공예<NA>단계석 벼루단계석 벼루<NA><NA><NA><NA>2000-08-080000217186P.JPGhttps://www.designdb.com/?menuno=1323&psno=217186
346공예<NA>시주함시주함<NA><NA><NA><NA>2000-08-080000217187P.JPGhttps://www.designdb.com/?menuno=1323&psno=217187