Overview

Dataset statistics

Number of variables3
Number of observations305
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory25.4 B

Variable types

Numeric1
Text1
DateTime1

Dataset

Description한국공예디자인문화진흥원 아카이브센터의 이미지 자료 목록 데이터로 콘텐츠번호, 제목, 등록일자 항목을 제공합니다.
Author한국공예디자인문화진흥원
URLhttps://www.data.go.kr/data/15072439/fileData.do

Alerts

콘텐츠번호 has unique valuesUnique
제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:47:51.534436
Analysis finished2023-12-12 15:47:52.106587
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠번호
Real number (ℝ)

UNIQUE 

Distinct305
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467072.04
Minimum465700
Maximum468008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-13T00:47:52.206778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum465700
5-th percentile465955.2
Q1466958
median467063
Q3467147
95-th percentile467953.8
Maximum468008
Range2308
Interquartile range (IQR)189

Descriptive statistics

Standard deviation440.25911
Coefficient of variation (CV)0.00094259359
Kurtosis2.6840829
Mean467072.04
Median Absolute Deviation (MAD)95
Skewness-0.72167149
Sum1.4245697 × 108
Variance193828.08
MonotonicityNot monotonic
2023-12-13T00:47:52.381682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
465753 1
 
0.3%
467101 1
 
0.3%
467127 1
 
0.3%
467123 1
 
0.3%
467120 1
 
0.3%
467116 1
 
0.3%
467112 1
 
0.3%
467103 1
 
0.3%
467102 1
 
0.3%
467100 1
 
0.3%
Other values (295) 295
96.7%
ValueCountFrequency (%)
465700 1
0.3%
465750 1
0.3%
465751 1
0.3%
465752 1
0.3%
465753 1
0.3%
465754 1
0.3%
465755 1
0.3%
465756 1
0.3%
465757 1
0.3%
465758 1
0.3%
ValueCountFrequency (%)
468008 1
0.3%
468007 1
0.3%
467967 1
0.3%
467966 1
0.3%
467965 1
0.3%
467964 1
0.3%
467963 1
0.3%
467962 1
0.3%
467961 1
0.3%
467960 1
0.3%

제목
Text

UNIQUE 

Distinct305
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T00:47:52.720819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length24
Mean length15.504918
Min length1

Characters and Unicode

Total characters4729
Distinct characters245
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

Unique305 ?
Unique (%)100.0%

Sample

1st row2010 공예트렌드페어
2nd row제2회 타이포잔치
3rd row한복, 근대를 거닐다
4th row2011 공예트렌드페어
5th row도시농부의 작업실
ValueCountFrequency (%)
공예를 55
 
6.6%
공예희락 50
 
6.0%
즐기는 50
 
6.0%
우리가 50
 
6.0%
2017 43
 
5.1%
kcdf갤러리 28
 
3.4%
kcdf윈도우 10
 
1.2%
터전을 10
 
1.2%
공예의 10
 
1.2%
일일유람 10
 
1.2%
Other values (368) 519
62.2%
2023-12-13T00:47:53.291444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
587
 
12.4%
_ 260
 
5.5%
공 210
 
4.4%
예 187
 
4.0%
2 146
 
3.1%
1 146
 
3.1%
리 122
 
2.6%
0 93
 
2.0%
K 81
 
1.7%
C 81
 
1.7%
Other values (235) 2816
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2646
56.0%
Decimal Number 639
 
13.5%
Space Separator 587
 
12.4%
Uppercase Letter 341
 
7.2%
Connector Punctuation 260
 
5.5%
Lowercase Letter 158
 
3.3%
Other Punctuation 90
 
1.9%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 210
 
7.9%
예 187
 
7.1%
리 122
 
4.6%
러 72
 
2.7%
기 65
 
2.5%
갤 64
 
2.4%
우 63
 
2.4%
한 60
 
2.3%
방 58
 
2.2%
를 57
 
2.2%
Other values (189) 1688
63.8%
Lowercase Letter
ValueCountFrequency (%)
a 27
17.1%
r 26
16.5%
n 20
12.7%
e 19
12.0%
t 14
8.9%
o 11
7.0%
d 9
 
5.7%
l 8
 
5.1%
u 4
 
2.5%
h 3
 
1.9%
Other values (10) 17
10.8%
Decimal Number
ValueCountFrequency (%)
2 146
22.8%
1 146
22.8%
0 93
14.6%
7 72
11.3%
3 52
 
8.1%
4 40
 
6.3%
5 26
 
4.1%
6 23
 
3.6%
8 22
 
3.4%
9 19
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
K 81
23.8%
C 81
23.8%
F 73
21.4%
D 73
21.4%
B 8
 
2.3%
W 8
 
2.3%
M 8
 
2.3%
P 8
 
2.3%
A 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 67
74.4%
, 19
 
21.1%
; 2
 
2.2%
& 2
 
2.2%
Space Separator
ValueCountFrequency (%)
587
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2641
55.8%
Common 1584
33.5%
Latin 499
 
10.6%
Han 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 210
 
8.0%
예 187
 
7.1%
리 122
 
4.6%
러 72
 
2.7%
기 65
 
2.5%
갤 64
 
2.4%
우 63
 
2.4%
한 60
 
2.3%
방 58
 
2.2%
를 57
 
2.2%
Other values (184) 1683
63.7%
Latin
ValueCountFrequency (%)
K 81
16.2%
C 81
16.2%
F 73
14.6%
D 73
14.6%
a 27
 
5.4%
r 26
 
5.2%
n 20
 
4.0%
e 19
 
3.8%
t 14
 
2.8%
o 11
 
2.2%
Other values (19) 74
14.8%
Common
ValueCountFrequency (%)
587
37.1%
_ 260
16.4%
2 146
 
9.2%
1 146
 
9.2%
0 93
 
5.9%
7 72
 
4.5%
: 67
 
4.2%
3 52
 
3.3%
4 40
 
2.5%
5 26
 
1.6%
Other values (7) 95
 
6.0%
Han
ValueCountFrequency (%)
樂 1
20.0%
色 1
20.0%
然 1
20.0%
天 1
20.0%
總 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2641
55.8%
ASCII 2083
44.0%
CJK 4
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
587
28.2%
_ 260
12.5%
2 146
 
7.0%
1 146
 
7.0%
0 93
 
4.5%
K 81
 
3.9%
C 81
 
3.9%
F 73
 
3.5%
D 73
 
3.5%
7 72
 
3.5%
Other values (36) 471
22.6%
Hangul
ValueCountFrequency (%)
공 210
 
8.0%
예 187
 
7.1%
리 122
 
4.6%
러 72
 
2.7%
기 65
 
2.5%
갤 64
 
2.4%
우 63
 
2.4%
한 60
 
2.3%
방 58
 
2.2%
를 57
 
2.2%
Other values (184) 1683
63.7%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
CJK
ValueCountFrequency (%)
色 1
25.0%
然 1
25.0%
天 1
25.0%
總 1
25.0%

등록일자
Date

Distinct21
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2017-05-24 00:00:00
Maximum2021-02-27 00:00:00
2023-12-13T00:47:53.485821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:47:53.665431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

Interactions

2023-12-13T00:47:51.782568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:47:53.792569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠번호등록일자
콘텐츠번호1.0001.000
등록일자1.0001.000

Missing values

2023-12-13T00:47:51.938040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:47:52.061652image/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

콘텐츠번호제목등록일자
04657532010 공예트렌드페어2017-05-27
1465756제2회 타이포잔치2017-05-27
2465758한복, 근대를 거닐다2017-05-27
34659512011 공예트렌드페어2017-06-01
4465953도시농부의 작업실2017-06-01
54659542012 한복 디자인 프로젝트2017-06-01
64669052017 우수공예품 지정제도2018-04-18
7466906MCBW Partnerland Korea 2017_12018-04-18
8466907MCBW Partnerland Korea 2017_22018-04-18
9466908MCBW Partnerland Korea 2017_32018-04-18
콘텐츠번호제목등록일자
295467682생활미학2019-12-31
296467901디자인 아카이브 포럼 20202020-12-30
297467958일일유람: 공예의 터전을 찾아서_52020-12-30
298467959일일유람: 공예의 터전을 찾아서_62020-12-30
299467718전기우주2020-04-25
300467965공공디자인 국민아이디어 공모전2020-12-30
301467966레코드284: 문화를 재생하다2020-12-30
3024679672020 공예트렌드페어2020-12-30
303468007전통문화분야 청년 예비 창업기업 공모2021-02-27
3044680082020 공공디자인 토론회2021-02-27