Overview

Dataset statistics

Number of variables15
Number of observations9300
Missing cells26779
Missing cells (%)19.2%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.1 MiB
Average record size in memory124.0 B

Variable types

Numeric4
Categorical1
Text10

Dataset

Description충청북도 청주시에서 2년마다 개최되는 청주공예비엔날레의 1~12회 전시별 작품명/작가명/작품크기/재료/기법 등의 데이터를 제공합니다.
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15110029/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
작품크기(가로) is highly overall correlated with 작품크기(세로)High correlation
작품크기(세로) is highly overall correlated with 작품크기(가로)High correlation
작가명(국문) has 185 (2.0%) missing valuesMissing
작가명(영문) has 586 (6.3%) missing valuesMissing
작품명(국문) has 504 (5.4%) missing valuesMissing
작품명(영문) has 1288 (13.8%) missing valuesMissing
년도 has 2380 (25.6%) missing valuesMissing
재료(국문) has 2696 (29.0%) missing valuesMissing
재료(영문) has 2449 (26.3%) missing valuesMissing
기법(국문) has 8389 (90.2%) missing valuesMissing
기법(영문) has 8302 (89.3%) missing valuesMissing
작품크기(가로) has 1709 (18.4%) zerosZeros
작품크기(세로) has 1901 (20.4%) zerosZeros
작품크기(높이) has 3309 (35.6%) zerosZeros

Reproduction

Analysis started2023-12-12 06:57:32.862459
Analysis finished2023-12-12 06:57:39.587537
Duration6.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회차
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2963441
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.9 KiB
2023-12-12T15:57:39.644324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0069868
Coefficient of variation (CV)0.4121224
Kurtosis-0.76505804
Mean7.2963441
Median Absolute Deviation (MAD)3
Skewness-0.32002526
Sum67856
Variance9.0419696
MonotonicityIncreasing
2023-12-12T15:57:39.776995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 1463
15.7%
11 1341
14.4%
8 1231
13.2%
10 927
10.0%
4 842
9.1%
6 835
9.0%
5 528
 
5.7%
9 520
 
5.6%
12 483
 
5.2%
1 433
 
4.7%
Other values (2) 697
7.5%
ValueCountFrequency (%)
1 433
 
4.7%
2 272
 
2.9%
3 425
 
4.6%
4 842
9.1%
5 528
 
5.7%
6 835
9.0%
7 1463
15.7%
8 1231
13.2%
9 520
 
5.6%
10 927
10.0%
ValueCountFrequency (%)
12 483
 
5.2%
11 1341
14.4%
10 927
10.0%
9 520
 
5.6%
8 1231
13.2%
7 1463
15.7%
6 835
9.0%
5 528
 
5.7%
4 842
9.1%
3 425
 
4.6%

전시 구분
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.8 KiB
본전시/기획전
2705 
공모전
1953 
초대국가관
1205 
페어
1190 
특별전
915 
Other values (4)
1332 

Length

Max length7
Median length5
Mean length4.8023656
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본전시/기획전 2705
29.1%
공모전 1953
21.0%
초대국가관 1205
13.0%
페어 1190
12.8%
특별전 915
 
9.8%
국제초대작가전 633
 
6.8%
생활공예명품전 396
 
4.3%
지역작가전 168
 
1.8%
국제산업관 135
 
1.5%

Length

2023-12-12T15:57:39.899084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:57:40.009464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본전시/기획전 2705
29.1%
공모전 1953
21.0%
초대국가관 1205
13.0%
페어 1190
12.8%
특별전 915
 
9.8%
국제초대작가전 633
 
6.8%
생활공예명품전 396
 
4.3%
지역작가전 168
 
1.8%
국제산업관 135
 
1.5%

작가명(국문)
Text

MISSING 

Distinct3594
Distinct (%)39.4%
Missing185
Missing (%)2.0%
Memory size72.8 KiB
2023-12-12T15:57:40.371534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length4.2296215
Min length1

Characters and Unicode

Total characters38553
Distinct characters697
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2132 ?
Unique (%)23.4%

Sample

1st row강O균
2nd row고O관
3rd row고O환
4th row권O아
5th row김O찬
ValueCountFrequency (%)
윌리엄o리스 84
 
0.9%
한국o수o물관 54
 
0.6%
김o수 47
 
0.5%
이o희 41
 
0.4%
이o선 40
 
0.4%
김o경 39
 
0.4%
김o영 38
 
0.4%
이o원 37
 
0.4%
김o희 34
 
0.4%
이o수 33
 
0.4%
Other values (3611) 8711
95.1%
2023-12-12T15:57:40.959155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 9705
25.2%
1605
 
4.2%
1004
 
2.6%
996
 
2.6%
911
 
2.4%
475
 
1.2%
475
 
1.2%
462
 
1.2%
391
 
1.0%
367
 
1.0%
Other values (687) 22162
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28651
74.3%
Uppercase Letter 9746
 
25.3%
Space Separator 43
 
0.1%
Other Punctuation 37
 
0.1%
Letter Number 20
 
0.1%
Decimal Number 19
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Dash Punctuation 9
 
< 0.1%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1605
 
5.6%
1004
 
3.5%
996
 
3.5%
911
 
3.2%
475
 
1.7%
475
 
1.7%
462
 
1.6%
391
 
1.4%
367
 
1.3%
355
 
1.2%
Other values (651) 21610
75.4%
Uppercase Letter
ValueCountFrequency (%)
O 9705
99.6%
M 7
 
0.1%
A 5
 
0.1%
W 4
 
< 0.1%
H 4
 
< 0.1%
B 4
 
< 0.1%
C 3
 
< 0.1%
J 2
 
< 0.1%
R 2
 
< 0.1%
K 2
 
< 0.1%
Other values (8) 8
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 7
36.8%
2 5
26.3%
4 3
15.8%
3 2
 
10.5%
6 1
 
5.3%
1 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 16
43.2%
& 11
29.7%
, 8
21.6%
· 2
 
5.4%
Letter Number
ValueCountFrequency (%)
10
50.0%
10
50.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28651
74.3%
Latin 9768
 
25.3%
Common 134
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1605
 
5.6%
1004
 
3.5%
996
 
3.5%
911
 
3.2%
475
 
1.7%
475
 
1.7%
462
 
1.6%
391
 
1.4%
367
 
1.3%
355
 
1.2%
Other values (651) 21610
75.4%
Latin
ValueCountFrequency (%)
O 9705
99.4%
10
 
0.1%
10
 
0.1%
M 7
 
0.1%
A 5
 
0.1%
W 4
 
< 0.1%
H 4
 
< 0.1%
B 4
 
< 0.1%
C 3
 
< 0.1%
J 2
 
< 0.1%
Other values (11) 14
 
0.1%
Common
ValueCountFrequency (%)
43
32.1%
. 16
 
11.9%
& 11
 
8.2%
) 11
 
8.2%
( 11
 
8.2%
- 9
 
6.7%
, 8
 
6.0%
0 7
 
5.2%
2 5
 
3.7%
_ 4
 
3.0%
Other values (5) 9
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28651
74.3%
ASCII 9880
 
25.6%
Number Forms 20
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 9705
98.2%
43
 
0.4%
. 16
 
0.2%
& 11
 
0.1%
) 11
 
0.1%
( 11
 
0.1%
- 9
 
0.1%
, 8
 
0.1%
0 7
 
0.1%
M 7
 
0.1%
Other values (23) 52
 
0.5%
Hangul
ValueCountFrequency (%)
1605
 
5.6%
1004
 
3.5%
996
 
3.5%
911
 
3.2%
475
 
1.7%
475
 
1.7%
462
 
1.6%
391
 
1.4%
367
 
1.3%
355
 
1.2%
Other values (651) 21610
75.4%
Number Forms
ValueCountFrequency (%)
10
50.0%
10
50.0%
None
ValueCountFrequency (%)
· 2
100.0%

작가명(영문)
Text

MISSING 

Distinct3485
Distinct (%)40.0%
Missing586
Missing (%)6.3%
Memory size72.8 KiB
2023-12-12T15:57:41.371758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length9.8586183
Min length3

Characters and Unicode

Total characters85908
Distinct characters90
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1972 ?
Unique (%)22.6%

Sample

1st rowKang O Kyun
2nd rowKoh O Kwan
3rd rowKo O Hwan
4th rowKwon O Ah
5th rowKim O Chan
ValueCountFrequency (%)
o 9139
38.9%
kim 892
 
3.8%
lee 849
 
3.6%
park 422
 
1.8%
choi 215
 
0.9%
hee 189
 
0.8%
young 179
 
0.8%
jung 179
 
0.8%
ho 172
 
0.7%
won 165
 
0.7%
Other values (2141) 11093
47.2%
2023-12-12T15:57:41.958368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18265
21.3%
O 9169
 
10.7%
n 5678
 
6.6%
e 5612
 
6.5%
o 5324
 
6.2%
a 4716
 
5.5%
i 4417
 
5.1%
u 2711
 
3.2%
g 1977
 
2.3%
r 1945
 
2.3%
Other values (80) 26094
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44058
51.3%
Uppercase Letter 23293
27.1%
Space Separator 18265
21.3%
Other Punctuation 132
 
0.2%
Dash Punctuation 60
 
0.1%
Close Punctuation 21
 
< 0.1%
Open Punctuation 21
 
< 0.1%
Letter Number 20
 
< 0.1%
Decimal Number 18
 
< 0.1%
Other Letter 16
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 5678
12.9%
e 5612
12.7%
o 5324
12.1%
a 4716
10.7%
i 4417
10.0%
u 2711
 
6.2%
g 1977
 
4.5%
r 1945
 
4.4%
h 1903
 
4.3%
m 1808
 
4.1%
Other values (19) 7967
18.1%
Uppercase Letter
ValueCountFrequency (%)
O 9169
39.4%
K 1818
 
7.8%
S 1518
 
6.5%
H 1388
 
6.0%
J 1250
 
5.4%
L 1209
 
5.2%
C 1001
 
4.3%
Y 887
 
3.8%
M 699
 
3.0%
P 633
 
2.7%
Other values (17) 3721
16.0%
Other Letter
ValueCountFrequency (%)
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (6) 6
37.5%
Decimal Number
ValueCountFrequency (%)
0 7
38.9%
2 4
22.2%
4 3
16.7%
3 2
 
11.1%
1 1
 
5.6%
6 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 57
43.2%
. 40
30.3%
' 17
 
12.9%
& 16
 
12.1%
· 2
 
1.5%
Letter Number
ValueCountFrequency (%)
10
50.0%
10
50.0%
Space Separator
ValueCountFrequency (%)
18265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 67371
78.4%
Common 18521
 
21.6%
Han 16
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 9169
 
13.6%
n 5678
 
8.4%
e 5612
 
8.3%
o 5324
 
7.9%
a 4716
 
7.0%
i 4417
 
6.6%
u 2711
 
4.0%
g 1977
 
2.9%
r 1945
 
2.9%
h 1903
 
2.8%
Other values (48) 23919
35.5%
Common
ValueCountFrequency (%)
18265
98.6%
- 60
 
0.3%
, 57
 
0.3%
. 40
 
0.2%
) 21
 
0.1%
( 21
 
0.1%
' 17
 
0.1%
& 16
 
0.1%
0 7
 
< 0.1%
_ 4
 
< 0.1%
Other values (6) 13
 
0.1%
Han
ValueCountFrequency (%)
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (6) 6
37.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85859
99.9%
Number Forms 20
 
< 0.1%
CJK 16
 
< 0.1%
None 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18265
21.3%
O 9169
 
10.7%
n 5678
 
6.6%
e 5612
 
6.5%
o 5324
 
6.2%
a 4716
 
5.5%
i 4417
 
5.1%
u 2711
 
3.2%
g 1977
 
2.3%
r 1945
 
2.3%
Other values (57) 26045
30.3%
Number Forms
ValueCountFrequency (%)
10
50.0%
10
50.0%
None
ValueCountFrequency (%)
ß 5
38.5%
ł 3
23.1%
Ø 2
 
15.4%
· 2
 
15.4%
ø 1
 
7.7%
CJK
ValueCountFrequency (%)
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (6) 6
37.5%

작품명(국문)
Text

MISSING 

Distinct7740
Distinct (%)88.0%
Missing504
Missing (%)5.4%
Memory size72.8 KiB
2023-12-12T15:57:42.378847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length7.4896544
Min length1

Characters and Unicode

Total characters65879
Distinct characters1541
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7255 ?
Unique (%)82.5%

Sample

1st row당닷굿 당닷궁
2nd row시공(時空)
3rd row가을의 서정-99
4th row형태+공간
5th row풍경 99-3
ValueCountFrequency (%)
281
 
1.6%
1 97
 
0.5%
2 92
 
0.5%
시리즈 91
 
0.5%
의자 90
 
0.5%
브로치 84
 
0.5%
목걸이 82
 
0.5%
무제 72
 
0.4%
보자기 57
 
0.3%
위한 54
 
0.3%
Other values (9517) 16806
94.4%
2023-12-12T15:57:42.981966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9085
 
13.8%
1201
 
1.8%
1075
 
1.6%
867
 
1.3%
- 816
 
1.2%
809
 
1.2%
1 783
 
1.2%
756
 
1.1%
0 745
 
1.1%
2 642
 
1.0%
Other values (1531) 49100
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43365
65.8%
Space Separator 9085
 
13.8%
Lowercase Letter 4582
 
7.0%
Decimal Number 3392
 
5.1%
Uppercase Letter 1600
 
2.4%
Other Punctuation 1399
 
2.1%
Dash Punctuation 816
 
1.2%
Close Punctuation 597
 
0.9%
Open Punctuation 597
 
0.9%
Letter Number 207
 
0.3%
Other values (6) 239
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1201
 
2.8%
1075
 
2.5%
867
 
2.0%
809
 
1.9%
756
 
1.7%
546
 
1.3%
516
 
1.2%
512
 
1.2%
483
 
1.1%
444
 
1.0%
Other values (1420) 36156
83.4%
Lowercase Letter
ValueCountFrequency (%)
e 547
11.9%
o 427
 
9.3%
a 392
 
8.6%
i 365
 
8.0%
t 322
 
7.0%
r 322
 
7.0%
n 318
 
6.9%
s 269
 
5.9%
l 259
 
5.7%
u 172
 
3.8%
Other values (16) 1189
25.9%
Uppercase Letter
ValueCountFrequency (%)
I 282
17.6%
S 111
 
6.9%
N 110
 
6.9%
T 93
 
5.8%
A 88
 
5.5%
L 74
 
4.6%
C 71
 
4.4%
M 66
 
4.1%
B 64
 
4.0%
P 61
 
3.8%
Other values (16) 580
36.2%
Other Punctuation
ValueCountFrequency (%)
, 441
31.5%
. 306
21.9%
" 268
19.2%
# 80
 
5.7%
: 75
 
5.4%
/ 50
 
3.6%
' 44
 
3.1%
& 39
 
2.8%
· 35
 
2.5%
! 23
 
1.6%
Other values (4) 38
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 783
23.1%
0 745
22.0%
2 642
18.9%
9 286
 
8.4%
3 265
 
7.8%
7 153
 
4.5%
5 151
 
4.5%
4 140
 
4.1%
6 115
 
3.4%
8 112
 
3.3%
Letter Number
ValueCountFrequency (%)
82
39.6%
58
28.0%
30
 
14.5%
16
 
7.7%
6
 
2.9%
6
 
2.9%
5
 
2.4%
2
 
1.0%
1
 
0.5%
1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 34
51.5%
< 11
 
16.7%
> 11
 
16.7%
~ 7
 
10.6%
1
 
1.5%
= 1
 
1.5%
1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 588
98.5%
] 5
 
0.8%
3
 
0.5%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 588
98.5%
[ 5
 
0.8%
3
 
0.5%
1
 
0.2%
Other Symbol
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Final Punctuation
ValueCountFrequency (%)
4
66.7%
2
33.3%
Space Separator
ValueCountFrequency (%)
9085
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 816
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 157
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42587
64.6%
Common 16125
 
24.5%
Latin 6389
 
9.7%
Han 778
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1201
 
2.8%
1075
 
2.5%
867
 
2.0%
809
 
1.9%
756
 
1.8%
546
 
1.3%
516
 
1.2%
512
 
1.2%
483
 
1.1%
444
 
1.0%
Other values (1036) 35378
83.1%
Han
ValueCountFrequency (%)
27
 
3.5%
18
 
2.3%
15
 
1.9%
12
 
1.5%
12
 
1.5%
12
 
1.5%
11
 
1.4%
10
 
1.3%
9
 
1.2%
8
 
1.0%
Other values (374) 644
82.8%
Latin
ValueCountFrequency (%)
e 547
 
8.6%
o 427
 
6.7%
a 392
 
6.1%
i 365
 
5.7%
t 322
 
5.0%
r 322
 
5.0%
n 318
 
5.0%
I 282
 
4.4%
s 269
 
4.2%
l 259
 
4.1%
Other values (52) 2886
45.2%
Common
ValueCountFrequency (%)
9085
56.3%
- 816
 
5.1%
1 783
 
4.9%
0 745
 
4.6%
2 642
 
4.0%
) 588
 
3.6%
( 588
 
3.6%
, 441
 
2.7%
. 306
 
1.9%
9 286
 
1.8%
Other values (39) 1845
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42573
64.6%
ASCII 22243
33.8%
CJK 752
 
1.1%
Number Forms 207
 
0.3%
None 43
 
0.1%
CJK Compat Ideographs 26
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Punctuation 11
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Modifier Letters 3
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9085
40.8%
- 816
 
3.7%
1 783
 
3.5%
0 745
 
3.3%
2 642
 
2.9%
) 588
 
2.6%
( 588
 
2.6%
e 547
 
2.5%
, 441
 
2.0%
o 427
 
1.9%
Other values (76) 7581
34.1%
Hangul
ValueCountFrequency (%)
1201
 
2.8%
1075
 
2.5%
867
 
2.0%
809
 
1.9%
756
 
1.8%
546
 
1.3%
516
 
1.2%
512
 
1.2%
483
 
1.1%
444
 
1.0%
Other values (1031) 35364
83.1%
Number Forms
ValueCountFrequency (%)
82
39.6%
58
28.0%
30
 
14.5%
16
 
7.7%
6
 
2.9%
6
 
2.9%
5
 
2.4%
2
 
1.0%
1
 
0.5%
1
 
0.5%
None
ValueCountFrequency (%)
· 35
81.4%
3
 
7.0%
3
 
7.0%
1
 
2.3%
1
 
2.3%
CJK
ValueCountFrequency (%)
27
 
3.6%
18
 
2.4%
15
 
2.0%
12
 
1.6%
12
 
1.6%
12
 
1.6%
11
 
1.5%
10
 
1.3%
9
 
1.2%
8
 
1.1%
Other values (362) 618
82.2%
Compat Jamo
ValueCountFrequency (%)
6
42.9%
3
21.4%
3
21.4%
1
 
7.1%
1
 
7.1%
Punctuation
ValueCountFrequency (%)
4
36.4%
3
27.3%
2
18.2%
2
18.2%
CJK Compat Ideographs
ValueCountFrequency (%)
4
15.4%
4
15.4%
3
11.5%
3
11.5%
3
11.5%
2
7.7%
2
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (2) 2
7.7%
Geometric Shapes
ValueCountFrequency (%)
3
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 3
100.0%
Arrows
ValueCountFrequency (%)
1
50.0%
1
50.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

작품명(영문)
Text

MISSING 

Distinct7317
Distinct (%)91.3%
Missing1288
Missing (%)13.8%
Memory size72.8 KiB
2023-12-12T15:57:43.393231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length92
Mean length16.834249
Min length1

Characters and Unicode

Total characters134876
Distinct characters177
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6972 ?
Unique (%)87.0%

Sample

1st rowDang-Da-Kung Dang-Da-Kung
2nd rowTime and Space
3rd rowLyrical Image of Autumn-99
4th rowForm+Space
5th rowLandscape 99-3
ValueCountFrequency (%)
the 763
 
3.5%
of 701
 
3.2%
359
 
1.6%
and 299
 
1.4%
a 278
 
1.3%
with 251
 
1.1%
in 207
 
0.9%
chair 147
 
0.7%
series 130
 
0.6%
table 124
 
0.6%
Other values (7147) 18736
85.2%
2023-12-12T15:57:43.945801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14062
 
10.4%
e 13182
 
9.8%
a 8713
 
6.5%
o 8273
 
6.1%
i 7788
 
5.8%
n 7382
 
5.5%
r 7211
 
5.3%
t 7035
 
5.2%
l 5479
 
4.1%
s 5103
 
3.8%
Other values (167) 50648
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 98481
73.0%
Uppercase Letter 15199
 
11.3%
Space Separator 14062
 
10.4%
Decimal Number 3104
 
2.3%
Other Punctuation 1731
 
1.3%
Dash Punctuation 1108
 
0.8%
Close Punctuation 333
 
0.2%
Open Punctuation 333
 
0.2%
Letter Number 203
 
0.2%
Connector Punctuation 158
 
0.1%
Other values (6) 164
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
5.7%
4
 
4.5%
4
 
4.5%
4
 
4.5%
4
 
4.5%
4
 
4.5%
4
 
4.5%
2
 
2.3%
2
 
2.3%
1
 
1.1%
Other values (54) 54
61.4%
Uppercase Letter
ValueCountFrequency (%)
S 1588
 
10.4%
T 1334
 
8.8%
C 1150
 
7.6%
B 1106
 
7.3%
P 1006
 
6.6%
L 782
 
5.1%
M 761
 
5.0%
F 750
 
4.9%
I 691
 
4.5%
A 668
 
4.4%
Other values (21) 5363
35.3%
Lowercase Letter
ValueCountFrequency (%)
e 13182
13.4%
a 8713
 
8.8%
o 8273
 
8.4%
i 7788
 
7.9%
n 7382
 
7.5%
r 7211
 
7.3%
t 7035
 
7.1%
l 5479
 
5.6%
s 5103
 
5.2%
h 3523
 
3.6%
Other values (16) 24792
25.2%
Other Punctuation
ValueCountFrequency (%)
, 489
28.2%
" 346
20.0%
. 256
14.8%
' 188
 
10.9%
& 120
 
6.9%
# 94
 
5.4%
: 85
 
4.9%
/ 59
 
3.4%
; 25
 
1.4%
! 24
 
1.4%
Other values (4) 45
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 716
23.1%
0 692
22.3%
2 599
19.3%
9 263
 
8.5%
3 252
 
8.1%
4 130
 
4.2%
5 128
 
4.1%
7 125
 
4.0%
6 103
 
3.3%
8 96
 
3.1%
Letter Number
ValueCountFrequency (%)
78
38.4%
62
30.5%
27
 
13.3%
15
 
7.4%
6
 
3.0%
6
 
3.0%
5
 
2.5%
2
 
1.0%
1
 
0.5%
1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 36
56.2%
< 9
 
14.1%
> 9
 
14.1%
~ 7
 
10.9%
1
 
1.6%
= 1
 
1.6%
1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 327
98.2%
] 5
 
1.5%
1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 327
98.2%
[ 5
 
1.5%
1
 
0.3%
Other Symbol
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
14062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1108
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 158
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 113878
84.4%
Common 20905
 
15.5%
Han 46
 
< 0.1%
Hangul 42
 
< 0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13182
 
11.6%
a 8713
 
7.7%
o 8273
 
7.3%
i 7788
 
6.8%
n 7382
 
6.5%
r 7211
 
6.3%
t 7035
 
6.2%
l 5479
 
4.8%
s 5103
 
4.5%
h 3523
 
3.1%
Other values (52) 40189
35.3%
Common
ValueCountFrequency (%)
14062
67.3%
- 1108
 
5.3%
1 716
 
3.4%
0 692
 
3.3%
2 599
 
2.9%
, 489
 
2.3%
" 346
 
1.7%
) 327
 
1.6%
( 327
 
1.6%
9 263
 
1.3%
Other values (36) 1976
 
9.5%
Han
ValueCountFrequency (%)
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
Other values (34) 34
73.9%
Hangul
ValueCountFrequency (%)
5
11.9%
4
 
9.5%
4
 
9.5%
4
 
9.5%
4
 
9.5%
4
 
9.5%
4
 
9.5%
1
 
2.4%
1
 
2.4%
1
 
2.4%
Other values (10) 10
23.8%
Greek
ValueCountFrequency (%)
Σ 1
20.0%
Υ 1
20.0%
Θ 1
20.0%
Χ 1
20.0%
Ι 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134536
99.7%
Number Forms 203
 
0.2%
CJK 46
 
< 0.1%
Hangul 34
 
< 0.1%
None 31
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Punctuation 7
 
< 0.1%
Modifier Letters 4
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Arrows 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14062
 
10.5%
e 13182
 
9.8%
a 8713
 
6.5%
o 8273
 
6.1%
i 7788
 
5.8%
n 7382
 
5.5%
r 7211
 
5.4%
t 7035
 
5.2%
l 5479
 
4.1%
s 5103
 
3.8%
Other values (76) 50308
37.4%
Number Forms
ValueCountFrequency (%)
78
38.4%
62
30.5%
27
 
13.3%
15
 
7.4%
6
 
3.0%
6
 
3.0%
5
 
2.5%
2
 
1.0%
1
 
0.5%
1
 
0.5%
None
ValueCountFrequency (%)
· 23
74.2%
² 1
 
3.2%
Σ 1
 
3.2%
Υ 1
 
3.2%
Θ 1
 
3.2%
Χ 1
 
3.2%
Ι 1
 
3.2%
1
 
3.2%
1
 
3.2%
Punctuation
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Compat Jamo
ValueCountFrequency (%)
5
62.5%
1
 
12.5%
1
 
12.5%
1
 
12.5%
Hangul
ValueCountFrequency (%)
4
11.8%
4
11.8%
4
11.8%
4
11.8%
4
11.8%
4
11.8%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (6) 6
17.6%
Modifier Letters
ValueCountFrequency (%)
˚ 4
100.0%
Geometric Shapes
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
Other values (34) 34
73.9%
Arrows
ValueCountFrequency (%)
1
50.0%
1
50.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

년도
Text

MISSING 

Distinct236
Distinct (%)3.4%
Missing2380
Missing (%)25.6%
Memory size72.8 KiB
2023-12-12T15:57:44.244564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length4
Mean length4.1359827
Min length3

Characters and Unicode

Total characters28621
Distinct characters44
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

Unique114 ?
Unique (%)1.6%

Sample

1st row1997
2nd row1988
3rd row1999
4th row1999
5th row1999
ValueCountFrequency (%)
2019 633
 
9.1%
2013 595
 
8.6%
2009 473
 
6.8%
2011 471
 
6.8%
2017 441
 
6.3%
2005 408
 
5.9%
2007 330
 
4.7%
2003 318
 
4.6%
2018 273
 
3.9%
2010 246
 
3.5%
Other values (231) 2763
39.7%
2023-12-12T15:57:44.728382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9383
32.8%
2 7030
24.6%
1 5205
18.2%
9 2442
 
8.5%
3 987
 
3.4%
7 931
 
3.3%
8 755
 
2.6%
5 717
 
2.5%
6 399
 
1.4%
4 311
 
1.1%
Other values (34) 461
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28160
98.4%
Other Letter 183
 
0.6%
Dash Punctuation 105
 
0.4%
Lowercase Letter 57
 
0.2%
Math Symbol 56
 
0.2%
Space Separator 31
 
0.1%
Other Punctuation 20
 
0.1%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
29.5%
54
29.5%
15
 
8.2%
15
 
8.2%
11
 
6.0%
10
 
5.5%
9
 
4.9%
9
 
4.9%
1
 
0.5%
1
 
0.5%
Other values (4) 4
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
s 16
28.1%
e 6
 
10.5%
t 6
 
10.5%
r 5
 
8.8%
a 4
 
7.0%
y 4
 
7.0%
n 3
 
5.3%
u 3
 
5.3%
h 3
 
5.3%
l 3
 
5.3%
Other values (3) 4
 
7.0%
Decimal Number
ValueCountFrequency (%)
0 9383
33.3%
2 7030
25.0%
1 5205
18.5%
9 2442
 
8.7%
3 987
 
3.5%
7 931
 
3.3%
8 755
 
2.7%
5 717
 
2.5%
6 399
 
1.4%
4 311
 
1.1%
Other Punctuation
ValueCountFrequency (%)
' 15
75.0%
, 4
 
20.0%
/ 1
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Math Symbol
ValueCountFrequency (%)
~ 56
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28372
99.1%
Hangul 183
 
0.6%
Latin 66
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9383
33.1%
2 7030
24.8%
1 5205
18.3%
9 2442
 
8.6%
3 987
 
3.5%
7 931
 
3.3%
8 755
 
2.7%
5 717
 
2.5%
6 399
 
1.4%
4 311
 
1.1%
Other values (6) 212
 
0.7%
Hangul
ValueCountFrequency (%)
54
29.5%
54
29.5%
15
 
8.2%
15
 
8.2%
11
 
6.0%
10
 
5.5%
9
 
4.9%
9
 
4.9%
1
 
0.5%
1
 
0.5%
Other values (4) 4
 
2.2%
Latin
ValueCountFrequency (%)
s 16
24.2%
C 9
13.6%
e 6
 
9.1%
t 6
 
9.1%
r 5
 
7.6%
a 4
 
6.1%
y 4
 
6.1%
n 3
 
4.5%
u 3
 
4.5%
h 3
 
4.5%
Other values (4) 7
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28438
99.4%
Hangul 183
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9383
33.0%
2 7030
24.7%
1 5205
18.3%
9 2442
 
8.6%
3 987
 
3.5%
7 931
 
3.3%
8 755
 
2.7%
5 717
 
2.5%
6 399
 
1.4%
4 311
 
1.1%
Other values (20) 278
 
1.0%
Hangul
ValueCountFrequency (%)
54
29.5%
54
29.5%
15
 
8.2%
15
 
8.2%
11
 
6.0%
10
 
5.5%
9
 
4.9%
9
 
4.9%
1
 
0.5%
1
 
0.5%
Other values (4) 4
 
2.2%

작품크기(가로)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct642
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean595.18774
Minimum0
Maximum44000
Zeros1709
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size81.9 KiB
2023-12-12T15:57:44.871548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180
median320
Q3730
95-th percentile2000
Maximum44000
Range44000
Interquartile range (IQR)650

Descriptive statistics

Standard deviation1151.2448
Coefficient of variation (CV)1.9342549
Kurtosis340.52715
Mean595.18774
Median Absolute Deviation (MAD)285
Skewness13.264208
Sum5535246
Variance1325364.6
MonotonicityNot monotonic
2023-12-12T15:57:45.002522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1709
 
18.4%
300 260
 
2.8%
400 219
 
2.4%
500 207
 
2.2%
600 188
 
2.0%
200 175
 
1.9%
1000 150
 
1.6%
450 147
 
1.6%
150 136
 
1.5%
100 126
 
1.4%
Other values (632) 5983
64.3%
ValueCountFrequency (%)
0 1709
18.4%
3 3
 
< 0.1%
5 3
 
< 0.1%
8 4
 
< 0.1%
10 25
 
0.3%
11 1
 
< 0.1%
12 2
 
< 0.1%
13 1
 
< 0.1%
15 12
 
0.1%
16 4
 
< 0.1%
ValueCountFrequency (%)
44000 1
< 0.1%
32000 1
< 0.1%
24000 1
< 0.1%
21000 1
< 0.1%
20000 1
< 0.1%
15000 2
< 0.1%
14450 1
< 0.1%
14250 1
< 0.1%
14000 1
< 0.1%
13500 1
< 0.1%

작품크기(세로)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct606
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean487.35516
Minimum0
Maximum18000
Zeros1901
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size81.9 KiB
2023-12-12T15:57:45.122782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median255
Q3580
95-th percentile1800
Maximum18000
Range18000
Interquartile range (IQR)530

Descriptive statistics

Standard deviation866.89605
Coefficient of variation (CV)1.7787768
Kurtosis97.337799
Mean487.35516
Median Absolute Deviation (MAD)245
Skewness7.5972196
Sum4532403
Variance751508.75
MonotonicityNot monotonic
2023-12-12T15:57:45.649019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1901
 
20.4%
300 284
 
3.1%
500 240
 
2.6%
400 197
 
2.1%
200 186
 
2.0%
150 177
 
1.9%
600 172
 
1.8%
250 166
 
1.8%
100 162
 
1.7%
450 139
 
1.5%
Other values (596) 5676
61.0%
ValueCountFrequency (%)
0 1901
20.4%
1 1
 
< 0.1%
2 3
 
< 0.1%
4 3
 
< 0.1%
5 8
 
0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
10 32
 
0.3%
12 7
 
0.1%
ValueCountFrequency (%)
18000 1
 
< 0.1%
16000 1
 
< 0.1%
15770 1
 
< 0.1%
15300 1
 
< 0.1%
14250 1
 
< 0.1%
13000 1
 
< 0.1%
12000 4
< 0.1%
11620 1
 
< 0.1%
11582 1
 
< 0.1%
11290 1
 
< 0.1%

작품크기(높이)
Real number (ℝ)

ZEROS 

Distinct481
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.06
Minimum0
Maximum15000
Zeros3309
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size81.9 KiB
2023-12-12T15:57:45.833493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85
Q3370
95-th percentile1480
Maximum15000
Range15000
Interquartile range (IQR)370

Descriptive statistics

Standard deviation642.98349
Coefficient of variation (CV)2.0279553
Kurtosis77.772518
Mean317.06
Median Absolute Deviation (MAD)85
Skewness6.3386217
Sum2948658
Variance413427.77
MonotonicityNot monotonic
2023-12-12T15:57:45.991855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3309
35.6%
100 175
 
1.9%
300 164
 
1.8%
50 155
 
1.7%
200 155
 
1.7%
150 149
 
1.6%
30 139
 
1.5%
250 134
 
1.4%
60 118
 
1.3%
10 115
 
1.2%
Other values (471) 4687
50.4%
ValueCountFrequency (%)
0 3309
35.6%
1 9
 
0.1%
2 3
 
< 0.1%
3 8
 
0.1%
4 4
 
< 0.1%
5 26
 
0.3%
6 7
 
0.1%
7 9
 
0.1%
8 7
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
15000 1
< 0.1%
12650 1
< 0.1%
10000 1
< 0.1%
9140 1
< 0.1%
8700 1
< 0.1%
8000 2
< 0.1%
7620 1
< 0.1%
7600 1
< 0.1%
7500 1
< 0.1%
7000 1
< 0.1%

재료(국문)
Text

MISSING 

Distinct3411
Distinct (%)51.7%
Missing2696
Missing (%)29.0%
Memory size72.8 KiB
2023-12-12T15:57:46.489482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length66
Mean length7.5358873
Min length1

Characters and Unicode

Total characters49767
Distinct characters778
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2766 ?
Unique (%)41.9%

Sample

1st row순은,정은
2nd row청동
3rd row금,닥종이,백동,은,자수정
4th row백동,은,황동
5th row거울,백동
ValueCountFrequency (%)
유리 299
 
3.1%
점토 211
 
2.2%
도자 207
 
2.1%
도자기 194
 
2.0%
나무 130
 
1.3%
76
 
0.8%
섬유 73
 
0.8%
자기 66
 
0.7%
비단 66
 
0.7%
금속 65
 
0.7%
Other values (4412) 8316
85.7%
2023-12-12T15:57:47.113893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 5942
 
11.9%
3101
 
6.2%
1299
 
2.6%
1223
 
2.5%
1182
 
2.4%
1177
 
2.4%
1148
 
2.3%
1007
 
2.0%
801
 
1.6%
782
 
1.6%
Other values (768) 32105
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38882
78.1%
Other Punctuation 6082
 
12.2%
Space Separator 3101
 
6.2%
Decimal Number 621
 
1.2%
Uppercase Letter 531
 
1.1%
Lowercase Letter 253
 
0.5%
Close Punctuation 132
 
0.3%
Open Punctuation 132
 
0.3%
Dash Punctuation 25
 
0.1%
Math Symbol 6
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1299
 
3.3%
1223
 
3.1%
1182
 
3.0%
1177
 
3.0%
1148
 
3.0%
1007
 
2.6%
801
 
2.1%
782
 
2.0%
774
 
2.0%
767
 
2.0%
Other values (696) 28722
73.9%
Uppercase Letter
ValueCountFrequency (%)
D 97
18.3%
E 60
11.3%
L 59
11.1%
K 47
8.9%
P 44
8.3%
A 32
 
6.0%
S 31
 
5.8%
F 29
 
5.5%
C 25
 
4.7%
M 24
 
4.5%
Other values (13) 83
15.6%
Lowercase Letter
ValueCountFrequency (%)
k 42
16.6%
e 28
11.1%
m 21
 
8.3%
i 18
 
7.1%
l 16
 
6.3%
r 15
 
5.9%
a 13
 
5.1%
d 13
 
5.1%
o 12
 
4.7%
s 11
 
4.3%
Other values (13) 64
25.3%
Decimal Number
ValueCountFrequency (%)
2 118
19.0%
1 100
16.1%
5 88
14.2%
9 70
11.3%
0 67
10.8%
4 60
9.7%
8 54
8.7%
3 39
 
6.3%
7 14
 
2.3%
6 11
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 5942
97.7%
% 64
 
1.1%
. 51
 
0.8%
/ 12
 
0.2%
: 4
 
0.1%
& 4
 
0.1%
' 4
 
0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
~ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38875
78.1%
Common 10101
 
20.3%
Latin 786
 
1.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1299
 
3.3%
1223
 
3.1%
1182
 
3.0%
1177
 
3.0%
1148
 
3.0%
1007
 
2.6%
801
 
2.1%
782
 
2.0%
774
 
2.0%
767
 
2.0%
Other values (690) 28715
73.9%
Latin
ValueCountFrequency (%)
D 97
 
12.3%
E 60
 
7.6%
L 59
 
7.5%
K 47
 
6.0%
P 44
 
5.6%
k 42
 
5.3%
A 32
 
4.1%
S 31
 
3.9%
F 29
 
3.7%
e 28
 
3.6%
Other values (37) 317
40.3%
Common
ValueCountFrequency (%)
, 5942
58.8%
3101
30.7%
) 132
 
1.3%
( 132
 
1.3%
2 118
 
1.2%
1 100
 
1.0%
5 88
 
0.9%
9 70
 
0.7%
0 67
 
0.7%
% 64
 
0.6%
Other values (16) 287
 
2.8%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38875
78.1%
ASCII 10883
 
21.9%
CJK 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 5942
54.6%
3101
28.5%
) 132
 
1.2%
( 132
 
1.2%
2 118
 
1.1%
1 100
 
0.9%
D 97
 
0.9%
5 88
 
0.8%
9 70
 
0.6%
0 67
 
0.6%
Other values (60) 1036
 
9.5%
Hangul
ValueCountFrequency (%)
1299
 
3.3%
1223
 
3.1%
1182
 
3.0%
1177
 
3.0%
1148
 
3.0%
1007
 
2.6%
801
 
2.1%
782
 
2.0%
774
 
2.0%
767
 
2.0%
Other values (690) 28715
73.9%
None
ValueCountFrequency (%)
º 2
50.0%
® 1
25.0%
· 1
25.0%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

재료(영문)
Text

MISSING 

Distinct3137
Distinct (%)45.8%
Missing2449
Missing (%)26.3%
Memory size72.8 KiB
2023-12-12T15:57:47.403262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length182
Median length112
Mean length17.687637
Min length3

Characters and Unicode

Total characters121178
Distinct characters80
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2510 ?
Unique (%)36.6%

Sample

1st rowPure Silver
2nd rowBronze
3rd rowgold,nickel silver,paper,Silver,violet quartz
4th rowbrass,nickel silver,Silver
5th rowmirror,nickel silver
ValueCountFrequency (%)
copper 521
 
3.9%
porcelain 509
 
3.8%
clay 393
 
3.0%
glass 334
 
2.5%
silver 302
 
2.3%
ceramic 232
 
1.7%
wood 178
 
1.3%
steel 178
 
1.3%
white 162
 
1.2%
soil 161
 
1.2%
Other values (3999) 10301
77.6%
2023-12-12T15:57:47.907624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 13252
 
10.9%
a 9282
 
7.7%
l 8713
 
7.2%
r 8504
 
7.0%
o 7813
 
6.4%
i 7420
 
6.1%
6433
 
5.3%
t 5834
 
4.8%
, 5777
 
4.8%
n 5558
 
4.6%
Other values (70) 42592
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 101412
83.7%
Space Separator 6433
 
5.3%
Uppercase Letter 6208
 
5.1%
Other Punctuation 5920
 
4.9%
Decimal Number 598
 
0.5%
Dash Punctuation 434
 
0.4%
Open Punctuation 82
 
0.1%
Close Punctuation 81
 
0.1%
Other Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13252
13.1%
a 9282
 
9.2%
l 8713
 
8.6%
r 8504
 
8.4%
o 7813
 
7.7%
i 7420
 
7.3%
t 5834
 
5.8%
n 5558
 
5.5%
s 5366
 
5.3%
c 4595
 
4.5%
Other values (16) 25075
24.7%
Uppercase Letter
ValueCountFrequency (%)
C 1281
20.6%
S 1180
19.0%
P 979
15.8%
W 367
 
5.9%
M 307
 
4.9%
B 303
 
4.9%
R 243
 
3.9%
D 174
 
2.8%
G 171
 
2.8%
A 171
 
2.8%
Other values (15) 1032
16.6%
Decimal Number
ValueCountFrequency (%)
2 114
19.1%
1 97
16.2%
5 79
13.2%
0 70
11.7%
9 68
11.4%
4 57
9.5%
8 56
9.4%
3 38
 
6.4%
7 13
 
2.2%
6 6
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 5777
97.6%
. 57
 
1.0%
% 49
 
0.8%
/ 10
 
0.2%
' 9
 
0.2%
: 8
 
0.1%
& 6
 
0.1%
; 2
 
< 0.1%
" 2
 
< 0.1%
Other Letter
ValueCountFrequency (%)
2
40.0%
2
40.0%
º 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
6433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Other Symbol
ValueCountFrequency (%)
® 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 107621
88.8%
Common 13553
 
11.2%
Hangul 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13252
12.3%
a 9282
 
8.6%
l 8713
 
8.1%
r 8504
 
7.9%
o 7813
 
7.3%
i 7420
 
6.9%
t 5834
 
5.4%
n 5558
 
5.2%
s 5366
 
5.0%
c 4595
 
4.3%
Other values (42) 31284
29.1%
Common
ValueCountFrequency (%)
6433
47.5%
, 5777
42.6%
- 434
 
3.2%
2 114
 
0.8%
1 97
 
0.7%
( 82
 
0.6%
) 81
 
0.6%
5 79
 
0.6%
0 70
 
0.5%
9 68
 
0.5%
Other values (16) 318
 
2.3%
Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121171
> 99.9%
Hangul 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 13252
 
10.9%
a 9282
 
7.7%
l 8713
 
7.2%
r 8504
 
7.0%
o 7813
 
6.4%
i 7420
 
6.1%
6433
 
5.3%
t 5834
 
4.8%
, 5777
 
4.8%
n 5558
 
4.6%
Other values (66) 42585
35.1%
None
ValueCountFrequency (%)
® 2
66.7%
º 1
33.3%
Hangul
ValueCountFrequency (%)
2
50.0%
2
50.0%

기법(국문)
Text

MISSING 

Distinct503
Distinct (%)55.2%
Missing8389
Missing (%)90.2%
Memory size72.8 KiB
2023-12-12T15:57:48.226735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length40
Mean length7.3172338
Min length1

Characters and Unicode

Total characters6666
Distinct characters434
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique378 ?
Unique (%)41.5%

Sample

1st row돋을새김
2nd row주조
3rd row연필드로잉
4th row단조
5th row단조
ValueCountFrequency (%)
기법 32
 
2.0%
프린팅 26
 
1.6%
3d 24
 
1.5%
물레성형 19
 
1.2%
자수 18
 
1.1%
섬유 18
 
1.1%
분장기법 17
 
1.1%
산화소성 15
 
0.9%
소성 15
 
0.9%
가공 14
 
0.9%
Other values (730) 1418
87.7%
2023-12-12T15:57:48.767989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
705
 
10.6%
, 275
 
4.1%
249
 
3.7%
186
 
2.8%
152
 
2.3%
134
 
2.0%
114
 
1.7%
79
 
1.2%
77
 
1.2%
76
 
1.1%
Other values (424) 4619
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5324
79.9%
Space Separator 705
 
10.6%
Other Punctuation 285
 
4.3%
Decimal Number 202
 
3.0%
Uppercase Letter 63
 
0.9%
Open Punctuation 26
 
0.4%
Close Punctuation 26
 
0.4%
Other Symbol 25
 
0.4%
Lowercase Letter 9
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
249
 
4.7%
186
 
3.5%
152
 
2.9%
134
 
2.5%
114
 
2.1%
79
 
1.5%
77
 
1.4%
76
 
1.4%
75
 
1.4%
73
 
1.4%
Other values (389) 4109
77.2%
Uppercase Letter
ValueCountFrequency (%)
D 29
46.0%
C 22
34.9%
A 4
 
6.3%
N 1
 
1.6%
P 1
 
1.6%
T 1
 
1.6%
G 1
 
1.6%
I 1
 
1.6%
M 1
 
1.6%
U 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
0 52
25.7%
1 51
25.2%
3 33
16.3%
2 31
15.3%
8 19
 
9.4%
5 8
 
4.0%
6 5
 
2.5%
4 3
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 275
96.5%
& 4
 
1.4%
: 2
 
0.7%
/ 2
 
0.7%
. 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
o 2
22.2%
p 2
22.2%
l 1
 
11.1%
i 1
 
11.1%
Other Symbol
ValueCountFrequency (%)
° 15
60.0%
10
40.0%
Space Separator
ValueCountFrequency (%)
705
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5322
79.8%
Common 1270
 
19.1%
Latin 72
 
1.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
249
 
4.7%
186
 
3.5%
152
 
2.9%
134
 
2.5%
114
 
2.1%
79
 
1.5%
77
 
1.4%
76
 
1.4%
75
 
1.4%
73
 
1.4%
Other values (387) 4107
77.2%
Common
ValueCountFrequency (%)
705
55.5%
, 275
 
21.7%
0 52
 
4.1%
1 51
 
4.0%
3 33
 
2.6%
2 31
 
2.4%
( 26
 
2.0%
) 26
 
2.0%
8 19
 
1.5%
° 15
 
1.2%
Other values (9) 37
 
2.9%
Latin
ValueCountFrequency (%)
D 29
40.3%
C 22
30.6%
A 4
 
5.6%
e 3
 
4.2%
o 2
 
2.8%
p 2
 
2.8%
l 1
 
1.4%
i 1
 
1.4%
N 1
 
1.4%
P 1
 
1.4%
Other values (6) 6
 
8.3%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5322
79.8%
ASCII 1317
 
19.8%
None 15
 
0.2%
Letterlike Symbols 10
 
0.2%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
705
53.5%
, 275
 
20.9%
0 52
 
3.9%
1 51
 
3.9%
3 33
 
2.5%
2 31
 
2.4%
D 29
 
2.2%
( 26
 
2.0%
) 26
 
2.0%
C 22
 
1.7%
Other values (23) 67
 
5.1%
Hangul
ValueCountFrequency (%)
249
 
4.7%
186
 
3.5%
152
 
2.9%
134
 
2.5%
114
 
2.1%
79
 
1.5%
77
 
1.4%
76
 
1.4%
75
 
1.4%
73
 
1.4%
Other values (387) 4107
77.2%
None
ValueCountFrequency (%)
° 15
100.0%
Letterlike Symbols
ValueCountFrequency (%)
10
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

기법(영문)
Text

MISSING 

Distinct433
Distinct (%)43.4%
Missing8302
Missing (%)89.3%
Memory size72.8 KiB
2023-12-12T15:57:49.075214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length72
Mean length18.799599
Min length1

Characters and Unicode

Total characters18762
Distinct characters74
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)31.3%

Sample

1st rowfine silver
2nd rowCasting
3rd rowpencil drawing
4th rowforging
5th rowforging
ValueCountFrequency (%)
metal 211
 
9.1%
fabricating 210
 
9.1%
technique 50
 
2.2%
hand 48
 
2.1%
the 45
 
1.9%
carving 39
 
1.7%
and 36
 
1.6%
fired 31
 
1.3%
casting 29
 
1.3%
wheel 25
 
1.1%
Other values (623) 1585
68.6%
2023-12-12T15:57:49.674436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 1849
 
9.9%
a 1742
 
9.3%
e 1498
 
8.0%
n 1448
 
7.7%
1311
 
7.0%
t 1303
 
6.9%
l 1021
 
5.4%
r 973
 
5.2%
g 842
 
4.5%
c 777
 
4.1%
Other values (64) 5998
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16469
87.8%
Space Separator 1311
 
7.0%
Uppercase Letter 366
 
2.0%
Other Punctuation 277
 
1.5%
Decimal Number 187
 
1.0%
Dash Punctuation 63
 
0.3%
Other Symbol 33
 
0.2%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%
Modifier Symbol 7
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 1849
11.2%
a 1742
10.6%
e 1498
 
9.1%
n 1448
 
8.8%
t 1303
 
7.9%
l 1021
 
6.2%
r 973
 
5.9%
g 842
 
5.1%
c 777
 
4.7%
o 696
 
4.2%
Other values (16) 4320
26.2%
Uppercase Letter
ValueCountFrequency (%)
C 58
15.8%
S 35
 
9.6%
H 32
 
8.7%
T 31
 
8.5%
M 27
 
7.4%
P 26
 
7.1%
L 21
 
5.7%
G 18
 
4.9%
F 16
 
4.4%
I 14
 
3.8%
Other values (14) 88
24.0%
Decimal Number
ValueCountFrequency (%)
0 59
31.6%
1 53
28.3%
2 30
16.0%
8 18
 
9.6%
3 11
 
5.9%
5 8
 
4.3%
6 5
 
2.7%
4 2
 
1.1%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 253
91.3%
& 12
 
4.3%
. 8
 
2.9%
: 2
 
0.7%
/ 1
 
0.4%
' 1
 
0.4%
Other Symbol
ValueCountFrequency (%)
18
54.5%
° 15
45.5%
Space Separator
ValueCountFrequency (%)
1311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16835
89.7%
Common 1927
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 1849
 
11.0%
a 1742
 
10.3%
e 1498
 
8.9%
n 1448
 
8.6%
t 1303
 
7.7%
l 1021
 
6.1%
r 973
 
5.8%
g 842
 
5.0%
c 777
 
4.6%
o 696
 
4.1%
Other values (40) 4686
27.8%
Common
ValueCountFrequency (%)
1311
68.0%
, 253
 
13.1%
- 63
 
3.3%
0 59
 
3.1%
1 53
 
2.8%
2 30
 
1.6%
) 20
 
1.0%
( 20
 
1.0%
18
 
0.9%
8 18
 
0.9%
Other values (14) 82
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18722
99.8%
Letterlike Symbols 18
 
0.1%
None 15
 
0.1%
Modifier Letters 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 1849
 
9.9%
a 1742
 
9.3%
e 1498
 
8.0%
n 1448
 
7.7%
1311
 
7.0%
t 1303
 
7.0%
l 1021
 
5.5%
r 973
 
5.2%
g 842
 
4.5%
c 777
 
4.2%
Other values (61) 5958
31.8%
Letterlike Symbols
ValueCountFrequency (%)
18
100.0%
None
ValueCountFrequency (%)
° 15
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 7
100.0%
Distinct9299
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size72.8 KiB
2023-12-12T15:57:50.046722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length503
Mean length80.459892
Min length13

Characters and Unicode

Total characters748277
Distinct characters1673
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9298 ?
Unique (%)> 99.9%

Sample

1st row강O균(Kang O Kyun)_당닷굿 당닷궁(Dang-Da-Kung Dang-Da-Kung)_001.jpg,강O균(Kang O Kyun)_당닷굿 당닷궁(Dang-Da-Kung Dang-Da-Kung)_002.jpg
2nd row고O관(Koh O Kwan)_시공(時空)(Time and Space)_001.jpg,고O관(Koh O Kwan)_시공(時空)(Time and Space)_002.jpg
3rd row고O환(Ko O Hwan)_가을의 서정-99(Lyrical Image of Autumn-99)_001.jpg,고O환(Ko O Hwan)_가을의 서정-99(Lyrical Image of Autumn-99)_002.jpg
4th row권O아(Kwon O Ah)_형태+공간(Form+Space)_001.jpg,권O아(Kwon O Ah)_형태+공간(Form+Space)_002.jpg
5th row김O찬(Kim O Chan)_풍경 99-3(Landscape 99-3)_001.jpg,김O찬(Kim O Chan)_풍경 99-3(Landscape 99-3)_002.jpg
ValueCountFrequency (%)
o 15441
 
19.5%
of 1362
 
1.7%
998
 
1.3%
the 785
 
1.0%
and 542
 
0.7%
with 358
 
0.5%
in 295
 
0.4%
a 237
 
0.3%
for 188
 
0.2%
h 155
 
0.2%
Other values (30282) 58810
74.3%
2023-12-12T15:57:50.603582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70146
 
9.4%
0 33668
 
4.5%
e 32669
 
4.4%
O 32516
 
4.3%
_ 31829
 
4.3%
( 29814
 
4.0%
) 29811
 
4.0%
o 23917
 
3.2%
g 23463
 
3.1%
n 23008
 
3.1%
Other values (1663) 417436
55.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 294254
39.3%
Other Letter 118454
15.8%
Uppercase Letter 84995
 
11.4%
Space Separator 70146
 
9.4%
Decimal Number 58595
 
7.8%
Connector Punctuation 31829
 
4.3%
Open Punctuation 29835
 
4.0%
Close Punctuation 29832
 
4.0%
Other Punctuation 26010
 
3.5%
Dash Punctuation 3345
 
0.4%
Other values (7) 982
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4391
 
3.7%
2880
 
2.4%
2172
 
1.8%
2172
 
1.8%
1853
 
1.6%
1636
 
1.4%
1432
 
1.2%
1270
 
1.1%
1256
 
1.1%
1229
 
1.0%
Other values (1545) 98163
82.9%
Uppercase Letter
ValueCountFrequency (%)
O 32516
38.3%
S 5538
 
6.5%
C 3807
 
4.5%
K 3558
 
4.2%
L 3534
 
4.2%
H 3449
 
4.1%
T 2939
 
3.5%
P 2841
 
3.3%
B 2563
 
3.0%
M 2544
 
3.0%
Other values (22) 21706
25.5%
Lowercase Letter
ValueCountFrequency (%)
e 32669
 
11.1%
o 23917
 
8.1%
g 23463
 
8.0%
n 23008
 
7.8%
a 22771
 
7.7%
i 20922
 
7.1%
p 19210
 
6.5%
j 16252
 
5.5%
r 15891
 
5.4%
t 14077
 
4.8%
Other values (19) 82074
27.9%
Decimal Number
ValueCountFrequency (%)
0 33668
57.5%
1 11126
 
19.0%
2 6364
 
10.9%
3 2563
 
4.4%
4 1230
 
2.1%
9 1108
 
1.9%
5 780
 
1.3%
7 644
 
1.1%
6 642
 
1.1%
8 470
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 16577
63.7%
, 8154
31.3%
' 411
 
1.6%
# 303
 
1.2%
& 283
 
1.1%
· 95
 
0.4%
; 83
 
0.3%
! 78
 
0.3%
16
 
0.1%
@ 10
 
< 0.1%
Letter Number
ValueCountFrequency (%)
294
39.9%
185
25.1%
97
 
13.2%
60
 
8.2%
48
 
6.5%
24
 
3.3%
18
 
2.4%
6
 
0.8%
2
 
0.3%
2
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 123
68.0%
~ 47
 
26.0%
6
 
3.3%
= 2
 
1.1%
2
 
1.1%
1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 29814
99.9%
[ 14
 
< 0.1%
5
 
< 0.1%
2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 29811
99.9%
] 14
 
< 0.1%
5
 
< 0.1%
2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
18
56.2%
8
25.0%
6
 
18.8%
Dash Punctuation
ValueCountFrequency (%)
- 3344
> 99.9%
1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
4
57.1%
3
42.9%
Initial Punctuation
ValueCountFrequency (%)
3
60.0%
2
40.0%
Space Separator
ValueCountFrequency (%)
70146
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31829
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 19
100.0%
Other Number
ValueCountFrequency (%)
² 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 379975
50.8%
Common 249838
33.4%
Hangul 116913
 
15.6%
Han 1541
 
0.2%
Greek 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4391
 
3.8%
2880
 
2.5%
2172
 
1.9%
2172
 
1.9%
1853
 
1.6%
1636
 
1.4%
1432
 
1.2%
1270
 
1.1%
1256
 
1.1%
1229
 
1.1%
Other values (1133) 96622
82.6%
Han
ValueCountFrequency (%)
59
 
3.8%
25
 
1.6%
24
 
1.6%
24
 
1.6%
20
 
1.3%
20
 
1.3%
20
 
1.3%
18
 
1.2%
17
 
1.1%
16
 
1.0%
Other values (402) 1298
84.2%
Latin
ValueCountFrequency (%)
e 32669
 
8.6%
O 32516
 
8.6%
o 23917
 
6.3%
g 23463
 
6.2%
n 23008
 
6.1%
a 22771
 
6.0%
i 20922
 
5.5%
p 19210
 
5.1%
j 16252
 
4.3%
r 15891
 
4.2%
Other values (56) 149356
39.3%
Common
ValueCountFrequency (%)
70146
28.1%
0 33668
13.5%
_ 31829
12.7%
( 29814
11.9%
) 29811
11.9%
. 16577
 
6.6%
1 11126
 
4.5%
, 8154
 
3.3%
2 6364
 
2.5%
- 3344
 
1.3%
Other values (37) 9005
 
3.6%
Greek
ValueCountFrequency (%)
Ι 2
20.0%
Χ 2
20.0%
Θ 2
20.0%
Υ 2
20.0%
Σ 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 628857
84.0%
Hangul 116875
 
15.6%
CJK 1494
 
0.2%
Number Forms 736
 
0.1%
None 143
 
< 0.1%
CJK Compat Ideographs 47
 
< 0.1%
Compat Jamo 38
 
< 0.1%
Punctuation 28
 
< 0.1%
Modifier Letters 19
 
< 0.1%
Geometric Shapes 18
 
< 0.1%
Other values (3) 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70146
 
11.2%
0 33668
 
5.4%
e 32669
 
5.2%
O 32516
 
5.2%
_ 31829
 
5.1%
( 29814
 
4.7%
) 29811
 
4.7%
o 23917
 
3.8%
g 23463
 
3.7%
n 23008
 
3.7%
Other values (70) 298016
47.4%
Hangul
ValueCountFrequency (%)
4391
 
3.8%
2880
 
2.5%
2172
 
1.9%
2172
 
1.9%
1853
 
1.6%
1636
 
1.4%
1432
 
1.2%
1270
 
1.1%
1256
 
1.1%
1229
 
1.1%
Other values (1128) 96584
82.6%
Number Forms
ValueCountFrequency (%)
294
39.9%
185
25.1%
97
 
13.2%
60
 
8.2%
48
 
6.5%
24
 
3.3%
18
 
2.4%
6
 
0.8%
2
 
0.3%
2
 
0.3%
None
ValueCountFrequency (%)
· 95
66.4%
ł 8
 
5.6%
ß 6
 
4.2%
5
 
3.5%
5
 
3.5%
ø 4
 
2.8%
Ø 2
 
1.4%
2
 
1.4%
2
 
1.4%
Ι 2
 
1.4%
Other values (7) 12
 
8.4%
CJK
ValueCountFrequency (%)
59
 
3.9%
25
 
1.7%
24
 
1.6%
24
 
1.6%
20
 
1.3%
20
 
1.3%
20
 
1.3%
18
 
1.2%
17
 
1.1%
16
 
1.1%
Other values (390) 1251
83.7%
Compat Jamo
ValueCountFrequency (%)
19
50.0%
7
 
18.4%
6
 
15.8%
4
 
10.5%
2
 
5.3%
Modifier Letters
ValueCountFrequency (%)
˚ 19
100.0%
Geometric Shapes
ValueCountFrequency (%)
18
100.0%
Punctuation
ValueCountFrequency (%)
16
57.1%
4
 
14.3%
3
 
10.7%
3
 
10.7%
2
 
7.1%
CJK Compat Ideographs
ValueCountFrequency (%)
8
17.0%
8
17.0%
6
12.8%
5
10.6%
4
8.5%
3
 
6.4%
3
 
6.4%
2
 
4.3%
2
 
4.3%
2
 
4.3%
Other values (2) 4
8.5%
Misc Symbols
ValueCountFrequency (%)
8
100.0%
Arrows
ValueCountFrequency (%)
6
50.0%
6
50.0%
Math Operators
ValueCountFrequency (%)
2
100.0%

Interactions

2023-12-12T15:57:38.438235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.120626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.554957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.006506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.532179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.211655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.667309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.100729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.646405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.300975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.788351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.211429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.778435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.407228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:37.896595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:57:38.323112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:57:50.715759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차전시 구분작품크기(가로)작품크기(세로)작품크기(높이)
회차1.0000.7070.0170.1040.067
전시 구분0.7071.0000.0570.0710.090
작품크기(가로)0.0170.0571.0000.4790.179
작품크기(세로)0.1040.0710.4791.0000.435
작품크기(높이)0.0670.0900.1790.4351.000
2023-12-12T15:57:50.824900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차작품크기(가로)작품크기(세로)작품크기(높이)전시 구분
회차1.000-0.151-0.149-0.1350.419
작품크기(가로)-0.1511.0000.8110.3960.028
작품크기(세로)-0.1490.8111.0000.3300.032
작품크기(높이)-0.1350.3960.3301.0000.029
전시 구분0.4190.0280.0320.0291.000

Missing values

2023-12-12T15:57:39.018302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:57:39.281171image/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.
2023-12-12T15:57:39.468849image/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

회차전시 구분작가명(국문)작가명(영문)작품명(국문)작품명(영문)년도작품크기(가로)작품크기(세로)작품크기(높이)재료(국문)재료(영문)기법(국문)기법(영문)작품 사진 파일명
01국제초대작가전강O균Kang O Kyun당닷굿 당닷궁Dang-Da-Kung Dang-Da-Kung1997420600순은,정은Pure Silver돋을새김fine silver강O균(Kang O Kyun)_당닷굿 당닷궁(Dang-Da-Kung Dang-Da-Kung)_001.jpg,강O균(Kang O Kyun)_당닷굿 당닷궁(Dang-Da-Kung Dang-Da-Kung)_002.jpg
11국제초대작가전고O관Koh O Kwan시공(時空)Time and Space198810007001900청동Bronze주조Casting고O관(Koh O Kwan)_시공(時空)(Time and Space)_001.jpg,고O관(Koh O Kwan)_시공(時空)(Time and Space)_002.jpg
21국제초대작가전고O환Ko O Hwan가을의 서정-99Lyrical Image of Autumn-99199960050600금,닥종이,백동,은,자수정gold,nickel silver,paper,Silver,violet quartz연필드로잉pencil drawing고O환(Ko O Hwan)_가을의 서정-99(Lyrical Image of Autumn-99)_001.jpg,고O환(Ko O Hwan)_가을의 서정-99(Lyrical Image of Autumn-99)_002.jpg
31국제초대작가전권O아Kwon O Ah형태+공간Form+Space19993801800230백동,은,황동brass,nickel silver,Silver<NA><NA>권O아(Kwon O Ah)_형태+공간(Form+Space)_001.jpg,권O아(Kwon O Ah)_형태+공간(Form+Space)_002.jpg
41국제초대작가전김O찬Kim O Chan풍경 99-3Landscape 99-319997001060100거울,백동mirror,nickel silver단조forging김O찬(Kim O Chan)_풍경 99-3(Landscape 99-3)_001.jpg,김O찬(Kim O Chan)_풍경 99-3(Landscape 99-3)_002.jpg
51국제초대작가전김O영Kim O Young록향(綠香)Tea Aroma1999300900210대나무,은bamboo,Silver단조forging김O영(Kim O Young)_록향(綠香)(Tea Aroma)_001.jpg,김O영(Kim O Young)_록향(綠香)(Tea Aroma)_002.jpg
61국제초대작가전김O후Kim O Hoo그림자-Ⅵ (브로치)The Shadow - Ⅵ (Brooch)19996578092.5 은92.5 silver<NA><NA>김O후(Kim O Hoo)_그림자-Ⅵ (브로치)(The Shadow - Ⅵ (Brooch))_001.jpg,김O후(Kim O Hoo)_그림자-Ⅵ (브로치)(The Shadow - Ⅵ (Brooch))_002.jpg
71국제초대작가전김O렬Kim O Ryol돌쇠Stone and Metal<NA>450320350동,현무암copper,stone망치질성형hammering김O렬(Kim O Ryol)_돌쇠(Stone and Metal)_001.jpg,김O렬(Kim O Ryol)_돌쇠(Stone and Metal)_002.jpg
81국제초대작가전김O모Kim O Mo저금통Saving Box1999200100120동,백동copper,nickel silver에칭,판금etching,fabricated김O모(Kim O Mo)_저금통(Saving Box)_001.jpg,김O모(Kim O Mo)_저금통(Saving Box)_002.jpg
91국제초대작가전김O규Kim O Gyu동(動)Movement19951200830700알루미늄,적동,철aluminum,red copper,Steel<NA><NA>김O규(Kim O Gyu)_동(動)(Movement)_001.jpg,김O규(Kim O Gyu)_동(動)(Movement)_002.jpg
회차전시 구분작가명(국문)작가명(영문)작품명(국문)작품명(영문)년도작품크기(가로)작품크기(세로)작품크기(높이)재료(국문)재료(영문)기법(국문)기법(영문)작품 사진 파일명
929012공모전송O원Song O Won30개의 반지30 rings Series20192020293128레몬수정,백수정,정은Lemon Quartz,Pure Silver,Rock Crystal<NA><NA>송O원(Song O Won)_30개의 반지(30 rings Series)_001.jpg,송O원(Song O Won)_30개의 반지(30 rings Series)_002.jpg
929112공모전이퀴야오OYiqiao O<NA>Red Bean2019555575달걀,마키에,콩,패브릭,황동Beans,brass,Eggshell,Fabric,Makie<NA><NA>이퀴야오O(Yiqiao O )_(Red Bean)_001.jpg,이퀴야오O(Yiqiao O )_(Red Bean)_002.jpg
929212공모전이O호Lee O Ho흐르는 선Flowing Line2020500500250백자White porcelain<NA><NA>이O호(Lee O Ho)_흐르는 선(Flowing Line)_001.jpg,이O호(Lee O Ho)_흐르는 선(Flowing Line)_002.jpg,이O호(Lee O Ho)_흐르는 선(Flowing Line)_003.jpg,이O호(Lee O Ho)_흐르는 선(Flowing Line)_004.jpg
929312공모전김O주Kim O Ju<NA>Another Pearl_20212021305305355동,자개copper,mother-of-pearl<NA><NA>김O주(Kim O Ju)_(Another Pearl_2021)_001.jpg,김O주(Kim O Ju)_(Another Pearl_2021)_002.jpg
929412공모전강O철Kang O Chul먹(玄) 달항아리Moon Jar2021490490500백자토White porcelain soil매트유약Matt Glaze강O철(Kang O Chul)_먹(玄) 달항아리(Moon Jar)_001.jpg,강O철(Kang O Chul)_먹(玄) 달항아리(Moon Jar)_002.jpg
929512공모전김O영Kim O Young<NA>Anyone20216002501100조형토Stoneware<NA><NA>김O영(Kim O Young)_(Anyone)_001.jpg,김O영(Kim O Young)_(Anyone)_002.jpg
929612공모전권O현Kwon O Hyeon<NA>Map Projection20203707405백자White porcelain<NA><NA>권O현(Kwon O Hyeon)_(Map Projection)_001.jpg,권O현(Kwon O Hyeon)_(Map Projection)_002.jpg,권O현(Kwon O Hyeon)_(Map Projection)_003.jpg,권O현(Kwon O Hyeon)_(Map Projection)_004.jpg
929712공모전박O일Park O Il<NA>New Old 86-180202045042020백토,청자토,흑토Black Clay,celadon porcelain clay,White soil<NA>metal fabricating박O일(Park O Il)_(New Old 86-180)_001.jpg,박O일(Park O Il)_(New Old 86-180)_002.jpg,박O일(Park O Il)_(New Old 86-180)_003.jpg,박O일(Park O Il)_(New Old 86-180)_004.jpg
929812공모전윤O경Yun O Gyeong위장된 공감Disguised Empathy202120041080금박,정은,코팅된 동선coated copper wire,gilt,Pure Silver<NA><NA>윤O경(Yun O Gyeong)_위장된 공감(Disguised Empathy)_001.jpg,윤O경(Yun O Gyeong)_위장된 공감(Disguised Empathy)_002.jpg
929912공모전김O은Kim O Eun담다To contain20213101320880붕규산유리,소다유리Borosilicate Glass,soda glass<NA><NA>김O은(Kim O Eun)_담다(To contain)_001.jpg,김O은(Kim O Eun)_담다(To contain)_002.jpg

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회차전시 구분작가명(국문)작가명(영문)작품명(국문)작품명(영문)년도작품크기(가로)작품크기(세로)작품크기(높이)재료(국문)재료(영문)기법(국문)기법(영문)작품 사진 파일명# duplicates
04생활공예명품전김O정<NA><NA><NA><NA>000<NA><NA><NA><NA>김O정_001.jpg,김O정_002.jpg2