Overview

Dataset statistics

Number of variables4
Number of observations87
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory2.9 KiB
Average record size in memory34.5 B

Variable types

Text3
Numeric1

Dataset

Description한국공예디자인문화진흥원 아카이브센터의 신착도서목록 데이터 입니다. 서명, 저자, 출판사, 출판년도 항목을 제공합니다.
Author한국공예디자인문화진흥원
URLhttps://www.data.go.kr/data/3058773/fileData.do

Alerts

Dataset has 1 (1.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 04:32:00.698403
Analysis finished2023-12-12 04:32:01.409795
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서명
Text

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T13:32:01.738572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length44
Mean length31.885057
Min length10

Characters and Unicode

Total characters2774
Distinct characters318
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)97.7%

Sample

1st row공예+디자인 = Craft+design. 25 / 한국공예디자인문화진흥원
2nd row봄놀이-산꽃밥 : 한국공예디자인문화진흥원
3rd rowMakers : by Chris Anderson
4th rowClay : [by] Amber Creswell Bell
5th row디자인이 태도가 될 때 : 편집: 미디어버스
ValueCountFrequency (%)
99
 
17.6%
한국공예디자인문화진흥원 20
 
3.5%
지음 13
 
2.3%
지은이 6
 
1.1%
by 6
 
1.1%
of 5
 
0.9%
디자인 5
 
0.9%
2016 4
 
0.7%
공예+디자인 4
 
0.7%
the 4
 
0.7%
Other values (353) 398
70.6%
2023-12-12T13:32:02.277029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
477
 
17.2%
e 95
 
3.4%
a 82
 
3.0%
r 81
 
2.9%
n 79
 
2.8%
t 74
 
2.7%
i 70
 
2.5%
: 64
 
2.3%
o 59
 
2.1%
s 48
 
1.7%
Other values (308) 1645
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1062
38.3%
Lowercase Letter 906
32.7%
Space Separator 477
17.2%
Other Punctuation 121
 
4.4%
Uppercase Letter 99
 
3.6%
Decimal Number 55
 
2.0%
Math Symbol 20
 
0.7%
Open Punctuation 16
 
0.6%
Close Punctuation 16
 
0.6%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 44
 
4.1%
자 41
 
3.9%
인 39
 
3.7%
디 39
 
3.7%
한 37
 
3.5%
국 30
 
2.8%
예 28
 
2.6%
문 26
 
2.4%
진 26
 
2.4%
지 25
 
2.4%
Other values (238) 727
68.5%
Lowercase Letter
ValueCountFrequency (%)
e 95
10.5%
a 82
 
9.1%
r 81
 
8.9%
n 79
 
8.7%
t 74
 
8.2%
i 70
 
7.7%
o 59
 
6.5%
s 48
 
5.3%
l 42
 
4.6%
d 39
 
4.3%
Other values (15) 237
26.2%
Uppercase Letter
ValueCountFrequency (%)
C 12
12.1%
S 10
 
10.1%
A 9
 
9.1%
M 9
 
9.1%
R 6
 
6.1%
H 6
 
6.1%
B 5
 
5.1%
J 5
 
5.1%
F 5
 
5.1%
K 4
 
4.0%
Other values (13) 28
28.3%
Decimal Number
ValueCountFrequency (%)
0 13
23.6%
2 12
21.8%
1 10
18.2%
6 6
10.9%
7 4
 
7.3%
8 3
 
5.5%
4 3
 
5.5%
3 2
 
3.6%
5 2
 
3.6%
Other Punctuation
ValueCountFrequency (%)
: 64
52.9%
/ 37
30.6%
. 12
 
9.9%
, 7
 
5.8%
! 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
= 12
60.0%
+ 8
40.0%
Open Punctuation
ValueCountFrequency (%)
( 9
56.2%
[ 7
43.8%
Close Punctuation
ValueCountFrequency (%)
) 9
56.2%
] 7
43.8%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1062
38.3%
Latin 1005
36.2%
Common 707
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 44
 
4.1%
자 41
 
3.9%
인 39
 
3.7%
디 39
 
3.7%
한 37
 
3.5%
국 30
 
2.8%
예 28
 
2.6%
문 26
 
2.4%
진 26
 
2.4%
지 25
 
2.4%
Other values (238) 727
68.5%
Latin
ValueCountFrequency (%)
e 95
 
9.5%
a 82
 
8.2%
r 81
 
8.1%
n 79
 
7.9%
t 74
 
7.4%
i 70
 
7.0%
o 59
 
5.9%
s 48
 
4.8%
l 42
 
4.2%
d 39
 
3.9%
Other values (38) 336
33.4%
Common
ValueCountFrequency (%)
477
67.5%
: 64
 
9.1%
/ 37
 
5.2%
0 13
 
1.8%
2 12
 
1.7%
. 12
 
1.7%
= 12
 
1.7%
1 10
 
1.4%
( 9
 
1.3%
) 9
 
1.3%
Other values (12) 52
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1712
61.7%
Hangul 1062
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
477
27.9%
e 95
 
5.5%
a 82
 
4.8%
r 81
 
4.7%
n 79
 
4.6%
t 74
 
4.3%
i 70
 
4.1%
: 64
 
3.7%
o 59
 
3.4%
s 48
 
2.8%
Other values (60) 583
34.1%
Hangul
ValueCountFrequency (%)
공 44
 
4.1%
자 41
 
3.9%
인 39
 
3.7%
디 39
 
3.7%
한 37
 
3.5%
국 30
 
2.8%
예 28
 
2.6%
문 26
 
2.4%
진 26
 
2.4%
지 25
 
2.4%
Other values (238) 727
68.5%

저자
Text

Distinct70
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T13:32:02.680892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length13.712644
Min length3

Characters and Unicode

Total characters1193
Distinct characters205
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

Unique69 ?
Unique (%)79.3%

Sample

1st row한국공예디자인문화진흥원
2nd row한국공예디자인문화진흥원
3rd rowby Chris Anderson
4th row[by] Amber Creswell Bell
5th row편집: 미디어버스
ValueCountFrequency (%)
한국공예디자인문화진흥원 19
 
9.9%
지음 15
 
7.9%
지은이 6
 
3.1%
by 6
 
3.1%
옮김 4
 
2.1%
edited 3
 
1.6%
저자 3
 
1.6%
john 2
 
1.0%
paul 2
 
1.0%
롤랑 2
 
1.0%
Other values (127) 129
67.5%
2023-12-12T13:32:03.253060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
8.7%
e 51
 
4.3%
n 35
 
2.9%
r 35
 
2.9%
a 34
 
2.8%
i 28
 
2.3%
한 28
 
2.3%
진 26
 
2.2%
지 26
 
2.2%
자 26
 
2.2%
Other values (195) 800
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
49.6%
Lowercase Letter 375
31.4%
Space Separator 104
 
8.7%
Uppercase Letter 66
 
5.5%
Other Punctuation 41
 
3.4%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 28
 
4.7%
진 26
 
4.4%
지 26
 
4.4%
자 26
 
4.4%
국 23
 
3.9%
디 23
 
3.9%
흥 23
 
3.9%
인 23
 
3.9%
원 22
 
3.7%
공 21
 
3.5%
Other values (143) 351
59.3%
Lowercase Letter
ValueCountFrequency (%)
e 51
13.6%
n 35
 
9.3%
r 35
 
9.3%
a 34
 
9.1%
i 28
 
7.5%
t 23
 
6.1%
o 21
 
5.6%
d 18
 
4.8%
l 18
 
4.8%
s 17
 
4.5%
Other values (13) 95
25.3%
Uppercase Letter
ValueCountFrequency (%)
A 8
12.1%
J 7
10.6%
S 6
 
9.1%
R 6
 
9.1%
B 5
 
7.6%
E 4
 
6.1%
M 4
 
6.1%
C 4
 
6.1%
W 3
 
4.5%
P 3
 
4.5%
Other values (11) 16
24.2%
Other Punctuation
ValueCountFrequency (%)
; 23
56.1%
: 15
36.6%
. 2
 
4.9%
, 1
 
2.4%
Space Separator
ValueCountFrequency (%)
104
100.0%
Close Punctuation
ValueCountFrequency (%)
] 7
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
49.6%
Latin 441
37.0%
Common 160
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 28
 
4.7%
진 26
 
4.4%
지 26
 
4.4%
자 26
 
4.4%
국 23
 
3.9%
디 23
 
3.9%
흥 23
 
3.9%
인 23
 
3.9%
원 22
 
3.7%
공 21
 
3.5%
Other values (143) 351
59.3%
Latin
ValueCountFrequency (%)
e 51
 
11.6%
n 35
 
7.9%
r 35
 
7.9%
a 34
 
7.7%
i 28
 
6.3%
t 23
 
5.2%
o 21
 
4.8%
d 18
 
4.1%
l 18
 
4.1%
s 17
 
3.9%
Other values (34) 161
36.5%
Common
ValueCountFrequency (%)
104
65.0%
; 23
 
14.4%
: 15
 
9.4%
] 7
 
4.4%
[ 7
 
4.4%
. 2
 
1.2%
- 1
 
0.6%
, 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
50.4%
Hangul 592
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
17.3%
e 51
 
8.5%
n 35
 
5.8%
r 35
 
5.8%
a 34
 
5.7%
i 28
 
4.7%
t 23
 
3.8%
; 23
 
3.8%
o 21
 
3.5%
d 18
 
3.0%
Other values (42) 229
38.1%
Hangul
ValueCountFrequency (%)
한 28
 
4.7%
진 26
 
4.4%
지 26
 
4.4%
자 26
 
4.4%
국 23
 
3.9%
디 23
 
3.9%
흥 23
 
3.9%
인 23
 
3.9%
원 22
 
3.7%
공 21
 
3.5%
Other values (143) 351
59.3%

출판사
Text

Distinct60
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T13:32:03.542889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length8.9425287
Min length2

Characters and Unicode

Total characters778
Distinct characters146
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)62.1%

Sample

1st row한국공예디자인문화진흥원
2nd row한국공예디자인문화진흥원
3rd rowCrown Business
4th rowThames & Hudson
5th row프로파간다
ValueCountFrequency (%)
한국공예디자인문화진흥원 20
 
17.7%
5
 
4.4%
hudson 5
 
4.4%
thames 5
 
4.4%
press 5
 
4.4%
안그라픽스 3
 
2.7%
books 3
 
2.7%
publishing 2
 
1.8%
university 2
 
1.8%
penguin 2
 
1.8%
Other values (58) 61
54.0%
2023-12-12T13:32:03.993266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 37
 
4.8%
e 28
 
3.6%
문 28
 
3.6%
한 27
 
3.5%
26
 
3.3%
o 24
 
3.1%
화 24
 
3.1%
진 24
 
3.1%
국 23
 
3.0%
i 23
 
3.0%
Other values (136) 514
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 431
55.4%
Lowercase Letter 269
34.6%
Uppercase Letter 47
 
6.0%
Space Separator 26
 
3.3%
Other Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 28
 
6.5%
한 27
 
6.3%
화 24
 
5.6%
진 24
 
5.6%
국 23
 
5.3%
디 23
 
5.3%
흥 22
 
5.1%
인 22
 
5.1%
예 21
 
4.9%
자 21
 
4.9%
Other values (96) 196
45.5%
Lowercase Letter
ValueCountFrequency (%)
s 37
13.8%
e 28
10.4%
o 24
 
8.9%
i 23
 
8.6%
n 23
 
8.6%
r 17
 
6.3%
u 16
 
5.9%
h 12
 
4.5%
t 11
 
4.1%
a 11
 
4.1%
Other values (12) 67
24.9%
Uppercase Letter
ValueCountFrequency (%)
P 13
27.7%
B 5
 
10.6%
T 5
 
10.6%
H 4
 
8.5%
E 3
 
6.4%
U 2
 
4.3%
S 2
 
4.3%
R 2
 
4.3%
C 2
 
4.3%
A 2
 
4.3%
Other values (6) 7
14.9%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
54.6%
Latin 316
40.6%
Common 31
 
4.0%
Han 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 28
 
6.6%
한 27
 
6.4%
화 24
 
5.6%
진 24
 
5.6%
국 23
 
5.4%
디 23
 
5.4%
흥 22
 
5.2%
인 22
 
5.2%
예 21
 
4.9%
자 21
 
4.9%
Other values (93) 190
44.7%
Latin
ValueCountFrequency (%)
s 37
 
11.7%
e 28
 
8.9%
o 24
 
7.6%
i 23
 
7.3%
n 23
 
7.3%
r 17
 
5.4%
u 16
 
5.1%
P 13
 
4.1%
h 12
 
3.8%
t 11
 
3.5%
Other values (28) 112
35.4%
Han
ValueCountFrequency (%)
東 2
33.3%
文 2
33.3%
選 2
33.3%
Common
ValueCountFrequency (%)
26
83.9%
& 5
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
54.6%
ASCII 347
44.6%
CJK 6
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 37
 
10.7%
e 28
 
8.1%
26
 
7.5%
o 24
 
6.9%
i 23
 
6.6%
n 23
 
6.6%
r 17
 
4.9%
u 16
 
4.6%
P 13
 
3.7%
h 12
 
3.5%
Other values (30) 128
36.9%
Hangul
ValueCountFrequency (%)
문 28
 
6.6%
한 27
 
6.4%
화 24
 
5.6%
진 24
 
5.6%
국 23
 
5.4%
디 23
 
5.4%
흥 22
 
5.2%
인 22
 
5.2%
예 21
 
4.9%
자 21
 
4.9%
Other values (93) 190
44.7%
CJK
ValueCountFrequency (%)
東 2
33.3%
文 2
33.3%
選 2
33.3%

출판년
Real number (ℝ)

Distinct10
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.8506
Minimum1997
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T13:32:04.117386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2011
Q12016
median2017
Q32017
95-th percentile2017
Maximum2017
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9036014
Coefficient of variation (CV)0.0014403852
Kurtosis22.259402
Mean2015.8506
Median Absolute Deviation (MAD)0
Skewness-4.2878929
Sum175379
Variance8.4309008
MonotonicityNot monotonic
2023-12-12T13:32:04.251986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2017 55
63.2%
2016 21
 
24.1%
2013 3
 
3.4%
2011 2
 
2.3%
2012 1
 
1.1%
2006 1
 
1.1%
1997 1
 
1.1%
2015 1
 
1.1%
2010 1
 
1.1%
2007 1
 
1.1%
ValueCountFrequency (%)
1997 1
 
1.1%
2006 1
 
1.1%
2007 1
 
1.1%
2010 1
 
1.1%
2011 2
 
2.3%
2012 1
 
1.1%
2013 3
 
3.4%
2015 1
 
1.1%
2016 21
 
24.1%
2017 55
63.2%
ValueCountFrequency (%)
2017 55
63.2%
2016 21
 
24.1%
2015 1
 
1.1%
2013 3
 
3.4%
2012 1
 
1.1%
2011 2
 
2.3%
2010 1
 
1.1%
2007 1
 
1.1%
2006 1
 
1.1%
1997 1
 
1.1%

Interactions

2023-12-12T13:32:01.145889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:32:04.395450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
서명저자출판사출판년
서명1.0001.0001.0001.000
저자1.0001.0001.0001.000
출판사1.0001.0001.0000.931
출판년1.0001.0000.9311.000

Missing values

2023-12-12T13:32:01.279854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:32:01.370620image/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

서명저자출판사출판년
0공예+디자인 = Craft+design. 25 / 한국공예디자인문화진흥원한국공예디자인문화진흥원한국공예디자인문화진흥원2017
1봄놀이-산꽃밥 : 한국공예디자인문화진흥원한국공예디자인문화진흥원한국공예디자인문화진흥원2017
2Makers : by Chris Andersonby Chris AndersonCrown Business2012
3Clay : [by] Amber Creswell Bell[by] Amber Creswell BellThames & Hudson2017
4디자인이 태도가 될 때 : 편집: 미디어버스편집: 미디어버스프로파간다2017
5(2016) 대한민국 공공디자인 대상 수상 작품집 / 한국공예디자인문화진흥원한국공예디자인문화진흥원한국공예디자인문화진흥원2016
6공예+디자인 = Craft+design. 26 / 한국공예디자인문화진흥원한국공예디자인문화진흥원한국공예디자인문화진흥원2017
7NCS직무가이드 / 권미경 [외] 저권미경 [외] 저커리어컨설팅2016
8독일 미술가와 걷다 : 이현애 지음이현애 지음마로니에북스2017
9(알랭 드 보통의) 영혼의 미술관 : 알랭 드 보통알랭 드 보통;존 암스트롱 지음문학동네2013
서명저자출판사출판년
77디자인 트렌드 2018 : 한국디자인진흥원 지음한국디자인진흥원 지음쌤앤파커스2017
78글짜씨. 15,안상수 / 기획:한국타이포그라피학회기획:한국타이포그라피학회안그라픽스2017
79한국의 옻과 문화 / 허허 지음허허 지음혜안2017
8080세 넘은 디자인 거장들의 결코 멈추지 않을 창작열에 대하여 / 아일린 퀀아일린 퀀;브린 스미스 지음디자인하우스2017
81Museum retailing : by Andrew Andoniadisby Andrew AndoniadisMuseumsEtc2010
82Alive to change : MuseumsEtcMuseumsEtcMuseumsEtc2013
83Museum marketing : edited by Ruth Rentschleredited by Ruth Rentschler;Anne-Marie HedeRoutledge2007
84Futures : 기획: 광주디자인센터기획: 광주디자인센터안그라픽스2017
85Glass : Koen VanderstukkenKoen VanderstukkenBlack Dog Publishing2017
86Craft trend fair 2017 = 2017 공예트렌드페어 / 한국공예디자인문화진흥원한국공예디자인문화진흥원한국공예디자인문화진흥원2017

Duplicate rows

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서명저자출판사출판년# duplicates
0(2016) 공공디자인 실태조사 : 한국공예디자인문화진흥원한국공예디자인문화진흥원한국공예디자인문화진흥원20172