Overview

Dataset statistics

Number of variables21
Number of observations100
Missing cells386
Missing cells (%)18.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory174.3 B

Variable types

Categorical8
Text9
Numeric4

Alerts

pavln_charst is highly imbalanced (80.6%)Imbalance
dspy_state_cd is highly imbalanced (76.9%)Imbalance
dspy_state_nm is highly imbalanced (76.9%)Imbalance
open_time is highly imbalanced (70.8%)Imbalance
open_date has 89 (89.0%) missing valuesMissing
writr has 4 (4.0%) missing valuesMissing
ebook_url has 98 (98.0%) missing valuesMissing
ebook_nm has 98 (98.0%) missing valuesMissing
dspy_eng_cn has 96 (96.0%) missing valuesMissing
dspy_nm has unique valuesUnique
dspy_image_url has unique valuesUnique
dspy_image_nm has unique valuesUnique
dspy_eng_nm has unique valuesUnique
rdcnt has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:07:23.243840
Analysis finished2023-12-10 10:07:24.866805
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

pavln_charst
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1관
97 
<NA>
 
3

Length

Max length4
Median length2
Mean length2.06
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1관
2nd row<NA>
3rd row1관
4th row1관
5th row1관

Common Values

ValueCountFrequency (%)
1관 97
97.0%
<NA> 3
 
3.0%

Length

2023-12-10T19:07:25.039285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:07:25.253430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1관 97
97.0%
na 3
 
3.0%

dspy_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:07:25.751095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length30.5
Mean length21.73
Min length5

Characters and Unicode

Total characters2173
Distinct characters359
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowInto Drawing 29 악한 목동
2nd rowInto Drawing Plus
3rd rowSOMA 야외 프로젝트 S
4th row밀레, 모더니즘의 탄생
5th rowWater_천진난만
ValueCountFrequency (%)
drawing 40
 
9.5%
into 33
 
7.9%
7
 
1.7%
now 5
 
1.2%
드로잉 4
 
1.0%
아닌 3
 
0.7%
3
 
0.7%
않는 2
 
0.5%
탄생 2
 
0.5%
05 2
 
0.5%
Other values (312) 319
76.0%
2023-12-10T19:07:26.657346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
 
14.8%
n 84
 
3.9%
o 78
 
3.6%
r 67
 
3.1%
a 58
 
2.7%
w 52
 
2.4%
i 50
 
2.3%
D 48
 
2.2%
g 47
 
2.2%
t 47
 
2.2%
Other values (349) 1321
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
37.6%
Lowercase Letter 620
28.5%
Space Separator 321
 
14.8%
Uppercase Letter 142
 
6.5%
Decimal Number 125
 
5.8%
Other Punctuation 91
 
4.2%
Connector Punctuation 26
 
1.2%
Dash Punctuation 11
 
0.5%
Close Punctuation 10
 
0.5%
Open Punctuation 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
2.8%
19
 
2.3%
16
 
2.0%
14
 
1.7%
14
 
1.7%
14
 
1.7%
13
 
1.6%
13
 
1.6%
13
 
1.6%
12
 
1.5%
Other values (279) 665
81.5%
Lowercase Letter
ValueCountFrequency (%)
n 84
13.5%
o 78
12.6%
r 67
10.8%
a 58
9.4%
w 52
8.4%
i 50
8.1%
g 47
7.6%
t 47
7.6%
u 28
 
4.5%
d 24
 
3.9%
Other values (14) 85
13.7%
Uppercase Letter
ValueCountFrequency (%)
D 48
33.8%
I 37
26.1%
N 8
 
5.6%
T 7
 
4.9%
A 7
 
4.9%
S 5
 
3.5%
B 4
 
2.8%
M 4
 
2.8%
P 4
 
2.8%
O 4
 
2.8%
Other values (9) 14
 
9.9%
Decimal Number
ValueCountFrequency (%)
0 24
19.2%
3 24
19.2%
1 15
12.0%
2 14
11.2%
9 12
9.6%
4 12
9.6%
8 10
8.0%
6 5
 
4.0%
5 5
 
4.0%
7 4
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 28
30.8%
; 28
30.8%
, 15
16.5%
: 9
 
9.9%
# 6
 
6.6%
. 4
 
4.4%
? 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 8
80.0%
1
 
10.0%
] 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 8
80.0%
1
 
10.0%
[ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
321
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 793
36.5%
Latin 762
35.1%
Common 595
27.4%
Han 23
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
2.9%
19
 
2.4%
16
 
2.0%
14
 
1.8%
14
 
1.8%
13
 
1.6%
13
 
1.6%
13
 
1.6%
12
 
1.5%
10
 
1.3%
Other values (270) 646
81.5%
Latin
ValueCountFrequency (%)
n 84
11.0%
o 78
10.2%
r 67
 
8.8%
a 58
 
7.6%
w 52
 
6.8%
i 50
 
6.6%
D 48
 
6.3%
g 47
 
6.2%
t 47
 
6.2%
I 37
 
4.9%
Other values (33) 194
25.5%
Common
ValueCountFrequency (%)
321
53.9%
& 28
 
4.7%
; 28
 
4.7%
_ 26
 
4.4%
0 24
 
4.0%
3 24
 
4.0%
1 15
 
2.5%
, 15
 
2.5%
2 14
 
2.4%
9 12
 
2.0%
Other values (17) 88
 
14.8%
Han
ValueCountFrequency (%)
14
60.9%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1355
62.4%
Hangul 793
36.5%
CJK 22
 
1.0%
None 2
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
23.7%
n 84
 
6.2%
o 78
 
5.8%
r 67
 
4.9%
a 58
 
4.3%
w 52
 
3.8%
i 50
 
3.7%
D 48
 
3.5%
g 47
 
3.5%
t 47
 
3.5%
Other values (58) 503
37.1%
Hangul
ValueCountFrequency (%)
23
 
2.9%
19
 
2.4%
16
 
2.0%
14
 
1.8%
14
 
1.8%
13
 
1.6%
13
 
1.6%
13
 
1.6%
12
 
1.5%
10
 
1.3%
Other values (270) 646
81.5%
CJK
ValueCountFrequency (%)
14
63.6%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

fspy_bgnde
Real number (ℝ)

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20127745
Minimum20040916
Maximum20211229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:07:26.938884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040916
5-th percentile20060704
Q120090578
median20121054
Q320161134
95-th percentile20210813
Maximum20211229
Range170313
Interquartile range (IQR)70555.5

Descriptive statistics

Standard deviation46990.273
Coefficient of variation (CV)0.002334602
Kurtosis-0.98139
Mean20127745
Median Absolute Deviation (MAD)39904.5
Skewness0.20562533
Sum2.0127745 × 109
Variance2.2080858 × 109
MonotonicityNot monotonic
2023-12-10T19:07:27.243995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210813 4
 
4.0%
20090709 3
 
3.0%
20110401 2
 
2.0%
20080617 2
 
2.0%
20101202 2
 
2.0%
20210323 2
 
2.0%
20160909 2
 
2.0%
20070601 2
 
2.0%
20120706 2
 
2.0%
20180608 2
 
2.0%
Other values (72) 77
77.0%
ValueCountFrequency (%)
20040916 1
1.0%
20050615 1
1.0%
20050915 1
1.0%
20051209 1
1.0%
20060407 1
1.0%
20060720 1
1.0%
20060914 1
1.0%
20061116 1
1.0%
20070215 1
1.0%
20070407 1
1.0%
ValueCountFrequency (%)
20211229 1
 
1.0%
20211119 1
 
1.0%
20211001 1
 
1.0%
20210813 4
4.0%
20210323 2
2.0%
20201110 1
 
1.0%
20200102 1
 
1.0%
20190822 1
 
1.0%
20190412 1
 
1.0%
20180803 1
 
1.0%

dspy_ennde
Real number (ℝ)

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129502
Minimum20041128
Maximum20220206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:07:27.542545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041128
5-th percentile20060897
Q120090626
median20121167
Q320163465
95-th percentile20211219
Maximum20220206
Range179078
Interquartile range (IQR)72838.5

Descriptive statistics

Standard deviation47223.414
Coefficient of variation (CV)0.0023459802
Kurtosis-0.93875947
Mean20129502
Median Absolute Deviation (MAD)39807
Skewness0.23761232
Sum2.0129502 × 109
Variance2.2300508 × 109
MonotonicityNot monotonic
2023-12-10T19:07:27.812356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220206 3
 
3.0%
20211219 2
 
2.0%
20180819 2
 
2.0%
20080106 2
 
2.0%
20120916 2
 
2.0%
20080831 2
 
2.0%
20170528 2
 
2.0%
20110529 2
 
2.0%
20070704 2
 
2.0%
20170430 2
 
2.0%
Other values (75) 79
79.0%
ValueCountFrequency (%)
20041128 1
1.0%
20050821 1
1.0%
20051128 1
1.0%
20060219 1
1.0%
20060702 1
1.0%
20060907 1
1.0%
20061102 1
1.0%
20070121 1
1.0%
20070318 1
1.0%
20070520 1
1.0%
ValueCountFrequency (%)
20220206 3
3.0%
20211231 1
 
1.0%
20211219 2
2.0%
20211031 1
 
1.0%
20210912 1
 
1.0%
20210725 1
 
1.0%
20201206 1
 
1.0%
20200224 1
 
1.0%
20200202 1
 
1.0%
20190623 1
 
1.0%

dspy_state_cd
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
P
94 
C
 
5
N
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowP
2nd rowN
3rd rowP
4th rowP
5th rowP

Common Values

ValueCountFrequency (%)
P 94
94.0%
C 5
 
5.0%
N 1
 
1.0%

Length

2023-12-10T19:07:28.114964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:07:28.401795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
p 94
94.0%
c 5
 
5.0%
n 1
 
1.0%

dspy_state_nm
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
종료
94 
현재
 
5
예정
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row종료
2nd row예정
3rd row종료
4th row종료
5th row종료

Common Values

ValueCountFrequency (%)
종료 94
94.0%
현재 5
 
5.0%
예정 1
 
1.0%

Length

2023-12-10T19:07:28.609119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:07:28.775476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종료 94
94.0%
현재 5
 
5.0%
예정 1
 
1.0%

place
Categorical

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
소마미술관
13 
소마미술관 전관
10 
소마드로잉센터 전시실
 
6
소마드로잉센터 전시실(제5전시실)
 
5
소마드로잉센터 전시실(제6전시실)
 
4
Other values (43)
62 

Length

Max length41
Median length24
Mean length13.7
Min length5

Unique

Unique31 ?
Unique (%)31.0%

Sample

1st row소마드로잉센터 전시실(제5전시실)
2nd row소마미술관 1관 5전시실
3rd row소마미술관 5전시실, 미술관 야외 공간
4th row소마미술관(올림픽공원 내)
5th row소마미술관 1~4 전시실 및 야외 공간

Common Values

ValueCountFrequency (%)
소마미술관 13
 
13.0%
소마미술관 전관 10
 
10.0%
소마드로잉센터 전시실 6
 
6.0%
소마드로잉센터 전시실(제5전시실) 5
 
5.0%
소마드로잉센터 전시실(제6전시실) 4
 
4.0%
소마미술관 제6전시실 4
 
4.0%
소마미술관 제1~5전시실 3
 
3.0%
소마미술관 드로잉센터전시실[6전시실] 3
 
3.0%
소마미술관 드로잉센터 전시실(제1전시실) 3
 
3.0%
소마미술관 1관 5전시실 3
 
3.0%
Other values (38) 46
46.0%

Length

2023-12-10T19:07:29.074159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소마미술관 72
28.9%
소마드로잉센터 19
 
7.6%
전시실 16
 
6.4%
전관 12
 
4.8%
1관 9
 
3.6%
전시실(제1전시실 6
 
2.4%
5전시실 6
 
2.4%
5
 
2.0%
5
 
2.0%
제6전시실 5
 
2.0%
Other values (54) 94
37.8%

open_date
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)63.6%
Missing89
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean20206205
Minimum20190411
Maximum20211119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:07:29.347754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190411
5-th percentile20190616
Q120205662
median20210813
Q320210813
95-th percentile20211060
Maximum20211119
Range20708
Interquartile range (IQR)5151

Descriptive statistics

Standard deviation8241.3532
Coefficient of variation (CV)0.0004078625
Kurtosis0.69975741
Mean20206205
Median Absolute Deviation (MAD)306
Skewness-1.5199139
Sum2.2226825 × 108
Variance67919902
MonotonicityNot monotonic
2023-12-10T19:07:29.607951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20210813 4
 
4.0%
20210323 2
 
2.0%
20211119 1
 
1.0%
20190411 1
 
1.0%
20190821 1
 
1.0%
20211001 1
 
1.0%
20201001 1
 
1.0%
(Missing) 89
89.0%
ValueCountFrequency (%)
20190411 1
 
1.0%
20190821 1
 
1.0%
20201001 1
 
1.0%
20210323 2
2.0%
20210813 4
4.0%
20211001 1
 
1.0%
20211119 1
 
1.0%
ValueCountFrequency (%)
20211119 1
 
1.0%
20211001 1
 
1.0%
20210813 4
4.0%
20210323 2
2.0%
20201001 1
 
1.0%
20190821 1
 
1.0%
20190411 1
 
1.0%

open_time
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
90 
1300
 
7
1700
 
2
0
 
1

Length

Max length4
Median length4
Mean length3.97
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 90
90.0%
1300 7
 
7.0%
1700 2
 
2.0%
0 1
 
1.0%

Length

2023-12-10T19:07:29.988374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:07:30.221804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
90.0%
1300 7
 
7.0%
1700 2
 
2.0%
0 1
 
1.0%

mnnst
Categorical

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
국민체육진흥공단 소마미술관
55 
국민체육진흥공단/소마미술관
 
5
국민체육진흥공단
 
3
국민체육진흥공단 / 소마미술관
 
3
서울올림픽미술관
 
3
Other values (28)
31 

Length

Max length48
Median length14
Mean length16.31
Min length5

Unique

Unique26 ?
Unique (%)26.0%

Sample

1st row국민체육진흥공단 소마미술관
2nd row국민체육진흥공단 / 소마미술관
3rd row국민체육진흥공단, 소마미술관
4th row국민체육진흥공단, 서울경제, 한국일보문화사업단
5th row국민체육진흥공단 소마미술관

Common Values

ValueCountFrequency (%)
국민체육진흥공단 소마미술관 55
55.0%
국민체육진흥공단/소마미술관 5
 
5.0%
국민체육진흥공단 3
 
3.0%
국민체육진흥공단 / 소마미술관 3
 
3.0%
서울올림픽미술관 3
 
3.0%
소마미술관 / 국민체육진흥공단 3
 
3.0%
소마미술관 2
 
2.0%
국민체육진흥공단 소마미술관 드로잉센터 1
 
1.0%
국민체육진흥공단 소마미술관, 일본국제교류기금 1
 
1.0%
조선일보, 국민체육진흥공단, 소마미술관, 피아룩스, 한솔BBK 1
 
1.0%
Other values (23) 23
23.0%

Length

2023-12-10T19:07:30.647441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국민체육진흥공단 82
36.4%
소마미술관 79
35.1%
9
 
4.0%
국민체육진흥공단/소마미술관 5
 
2.2%
서울올림픽미술관 4
 
1.8%
한솔bbk 2
 
0.9%
cj문화재단 2
 
0.9%
대안공간 2
 
0.9%
루프 2
 
0.9%
조선일보 2
 
0.9%
Other values (36) 36
16.0%

writr
Text

MISSING 

Distinct95
Distinct (%)99.0%
Missing4
Missing (%)4.0%
Memory size932.0 B
2023-12-10T19:07:31.301458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length500
Median length116
Mean length50.354167
Min length3

Characters and Unicode

Total characters4834
Distinct characters397
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)97.9%

Sample

1st row최대진 Daejin Choi
2nd row이경희, 육효진, 황원해
3rd row국형걸+전병삼, 조은필+유재우, 양수인+카입, 손몽주+안용대, 천대광+장영철 이상 총 10명
4th row강은수, 김연, 김창겸, 김창환, 박상화 ,박정선(1), 박정선(2), 백남준, 변경수, 부지현, 송창애, 안규철, 안종연, 원성원, 이기봉, 이상원, 이예린, 이용제, 정기엽, 폴 뷔리, 하원, 한호 총 22명
5th row강영민, 김세일, 박선기, 장연순, 전강옥, 함연주 총 6명
ValueCountFrequency (%)
23
 
2.4%
14
 
1.5%
kim 10
 
1.0%
9
 
0.9%
백남준 8
 
0.8%
미국 6
 
0.6%
일본 6
 
0.6%
이승택 5
 
0.5%
lee 5
 
0.5%
한국 5
 
0.5%
Other values (763) 874
90.6%
2023-12-10T19:07:32.442704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
 
18.1%
, 584
 
12.1%
108
 
2.2%
100
 
2.1%
n 72
 
1.5%
i 70
 
1.4%
e 69
 
1.4%
a 67
 
1.4%
o 67
 
1.4%
( 58
 
1.2%
Other values (387) 2762
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2323
48.1%
Space Separator 877
 
18.1%
Lowercase Letter 659
 
13.6%
Other Punctuation 605
 
12.5%
Uppercase Letter 155
 
3.2%
Decimal Number 87
 
1.8%
Open Punctuation 58
 
1.2%
Close Punctuation 57
 
1.2%
Math Symbol 10
 
0.2%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
108
 
4.6%
100
 
4.3%
46
 
2.0%
46
 
2.0%
44
 
1.9%
42
 
1.8%
32
 
1.4%
31
 
1.3%
30
 
1.3%
30
 
1.3%
Other values (319) 1814
78.1%
Lowercase Letter
ValueCountFrequency (%)
n 72
10.9%
i 70
10.6%
e 69
10.5%
a 67
10.2%
o 67
10.2%
u 40
 
6.1%
h 33
 
5.0%
m 32
 
4.9%
g 29
 
4.4%
k 26
 
3.9%
Other values (14) 154
23.4%
Uppercase Letter
ValueCountFrequency (%)
S 27
17.4%
K 18
11.6%
M 11
 
7.1%
H 10
 
6.5%
J 10
 
6.5%
L 10
 
6.5%
C 9
 
5.8%
A 9
 
5.8%
Y 7
 
4.5%
B 6
 
3.9%
Other values (11) 38
24.5%
Decimal Number
ValueCountFrequency (%)
1 19
21.8%
2 18
20.7%
3 10
11.5%
0 9
10.3%
5 8
9.2%
6 8
9.2%
8 5
 
5.7%
4 5
 
5.7%
9 3
 
3.4%
7 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 584
96.5%
. 9
 
1.5%
/ 6
 
1.0%
& 2
 
0.3%
# 2
 
0.3%
; 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 9
90.0%
~ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
877
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2321
48.0%
Common 1697
35.1%
Latin 814
 
16.8%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
108
 
4.7%
100
 
4.3%
46
 
2.0%
46
 
2.0%
44
 
1.9%
42
 
1.8%
32
 
1.4%
31
 
1.3%
30
 
1.3%
30
 
1.3%
Other values (318) 1812
78.1%
Latin
ValueCountFrequency (%)
n 72
 
8.8%
i 70
 
8.6%
e 69
 
8.5%
a 67
 
8.2%
o 67
 
8.2%
u 40
 
4.9%
h 33
 
4.1%
m 32
 
3.9%
g 29
 
3.6%
S 27
 
3.3%
Other values (35) 308
37.8%
Common
ValueCountFrequency (%)
877
51.7%
, 584
34.4%
( 58
 
3.4%
) 57
 
3.4%
1 19
 
1.1%
2 18
 
1.1%
3 10
 
0.6%
0 9
 
0.5%
+ 9
 
0.5%
. 9
 
0.5%
Other values (13) 47
 
2.8%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2511
51.9%
Hangul 2321
48.0%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
877
34.9%
, 584
23.3%
n 72
 
2.9%
i 70
 
2.8%
e 69
 
2.7%
a 67
 
2.7%
o 67
 
2.7%
( 58
 
2.3%
) 57
 
2.3%
u 40
 
1.6%
Other values (58) 550
21.9%
Hangul
ValueCountFrequency (%)
108
 
4.7%
100
 
4.3%
46
 
2.0%
46
 
2.0%
44
 
1.9%
42
 
1.8%
32
 
1.4%
31
 
1.3%
30
 
1.3%
30
 
1.3%
Other values (318) 1812
78.1%
CJK
ValueCountFrequency (%)
2
100.0%

prdct
Text

Distinct94
Distinct (%)94.9%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-10T19:07:32.972339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length28
Mean length17.151515
Min length4

Characters and Unicode

Total characters1698
Distinct characters124
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

Unique89 ?
Unique (%)89.9%

Sample

1st row드로잉, 오브제, 설치 등 10여점
2nd row회화, 드로잉, 설치
3rd row설치, 사진, 영상, 모형, 드로잉 작품 20여점
4th row밀레(25점), 바르비종 &amp;amp;amp;amp; 퐁텐블로 풍경화가(39점) 등 총 20인의 작품 64점
5th row조각, 설치, 영상, 회화, 사진, 드로잉 등 총 40여점
ValueCountFrequency (%)
드로잉 50
 
10.5%
설치 45
 
9.4%
42
 
8.8%
회화 30
 
6.3%
22
 
4.6%
21
 
4.4%
영상 20
 
4.2%
조각 20
 
4.2%
10여점 15
 
3.1%
15
 
3.1%
Other values (113) 197
41.3%
2023-12-10T19:07:33.757670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
378
22.3%
, 134
 
7.9%
0 93
 
5.5%
93
 
5.5%
74
 
4.4%
56
 
3.3%
55
 
3.2%
55
 
3.2%
54
 
3.2%
54
 
3.2%
Other values (114) 652
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 950
55.9%
Space Separator 378
 
22.3%
Decimal Number 214
 
12.6%
Other Punctuation 139
 
8.2%
Lowercase Letter 12
 
0.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
93
 
9.8%
74
 
7.8%
56
 
5.9%
55
 
5.8%
55
 
5.8%
54
 
5.7%
54
 
5.7%
43
 
4.5%
38
 
4.0%
31
 
3.3%
Other values (94) 397
41.8%
Decimal Number
ValueCountFrequency (%)
0 93
43.5%
1 39
18.2%
2 25
 
11.7%
3 16
 
7.5%
6 10
 
4.7%
4 8
 
3.7%
5 7
 
3.3%
8 6
 
2.8%
9 6
 
2.8%
7 4
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 134
96.4%
; 4
 
2.9%
& 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
m 4
33.3%
p 4
33.3%
a 4
33.3%
Space Separator
ValueCountFrequency (%)
378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 950
55.9%
Common 736
43.3%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
93
 
9.8%
74
 
7.8%
56
 
5.9%
55
 
5.8%
55
 
5.8%
54
 
5.7%
54
 
5.7%
43
 
4.5%
38
 
4.0%
31
 
3.3%
Other values (94) 397
41.8%
Common
ValueCountFrequency (%)
378
51.4%
, 134
 
18.2%
0 93
 
12.6%
1 39
 
5.3%
2 25
 
3.4%
3 16
 
2.2%
6 10
 
1.4%
4 8
 
1.1%
5 7
 
1.0%
8 6
 
0.8%
Other values (7) 20
 
2.7%
Latin
ValueCountFrequency (%)
m 4
33.3%
p 4
33.3%
a 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 950
55.9%
ASCII 748
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
378
50.5%
, 134
 
17.9%
0 93
 
12.4%
1 39
 
5.2%
2 25
 
3.3%
3 16
 
2.1%
6 10
 
1.3%
4 8
 
1.1%
5 7
 
0.9%
8 6
 
0.8%
Other values (10) 32
 
4.3%
Hangul
ValueCountFrequency (%)
93
 
9.8%
74
 
7.8%
56
 
5.9%
55
 
5.8%
55
 
5.8%
54
 
5.7%
54
 
5.7%
43
 
4.5%
38
 
4.0%
31
 
3.3%
Other values (94) 397
41.8%

time_charst
Categorical

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
10:00~18:00(입장마감 17:00)▒매주 월요일 휴관
40 
10:00~18:00(입장마감 17:20)▒매주 월요일 휴관
10:00~18:00(입장마감 17:00)▒매주 월요일, 신정, 설날 당일 휴관
 
4
10:00~18:00(입장마감 17:20)▒문화가 있는날(매월 마지막 주 수요일) 야간 연장개관(10:00~21:00, 입장마감 20:20)▒매주 월요일 휴관
 
4
10:00~18:00(17:30 입장마감)
 
3
Other values (34)
43 

Length

Max length163
Median length157
Mean length52.4
Min length4

Unique

Unique27 ?
Unique (%)27.0%

Sample

1st row10:00~18:00(입장마감 17:20)▒매주 월요일 휴관
2nd row10:00~18:00(17:30 입장마감)
3rd row10:00~18:00(입장마감 17:20)▒도슨트 시간 : [화~금] 오후 2시, 4시 [주말] 오전 11시, 오후 1시, 2시, 4시▒매주 월요일 및 추석 당일 휴관
4th row[월, 화, 수, 목, 주말, 공휴일] 10:00~20:00(입장마감 19:20)▒[금] 10:00~21:00(입장마감 20:20)▒매월 마지막 주 월요일 휴관
5th row10:00~18:00(입장마감 17:00)▒도슨트 시간 : [화~금] 오후 2시, 4시 [주말] 오전 11시, 오후 1시, 2시, 4시▒매주 월요일 및 추석 당일 휴관

Common Values

ValueCountFrequency (%)
10:00~18:00(입장마감 17:00)▒매주 월요일 휴관 40
40.0%
10:00~18:00(입장마감 17:20)▒매주 월요일 휴관 6
 
6.0%
10:00~18:00(입장마감 17:00)▒매주 월요일, 신정, 설날 당일 휴관 4
 
4.0%
10:00~18:00(입장마감 17:20)▒문화가 있는날(매월 마지막 주 수요일) 야간 연장개관(10:00~21:00, 입장마감 20:20)▒매주 월요일 휴관 4
 
4.0%
10:00~18:00(17:30 입장마감) 3
 
3.0%
10:00~18:00(입장마감 17:00)▒매주 월요일 및 추석 당일 휴관 3
 
3.0%
10:00~18:00(입장마감 17:00)▒도슨트 시간 : [화~금] 오후 2시, 4시 [주말] 오전 11시, 오후 1시, 2시, 4시▒매주 월요일 휴관 3
 
3.0%
<NA> 2
 
2.0%
10:00~18:00(입장마감 17:20)▒문화가 있는 날(매월 마지막 주 수요일 및 금요일) 야간 연장 개관(10:00~21:00, 입장마감 20:20)▒문화의 달(2016년 9월 23일 ~ 10월 30일) 기존과 운영시간 동일▒매주 월요일 및 추석 당일 휴관 2
 
2.0%
10:00~18:00(입장마감 17:00)▒매주 월요일 및 추석당일 휴관 2
 
2.0%
Other values (29) 31
31.0%

Length

2023-12-10T19:07:34.062682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월요일 87
 
10.8%
휴관 85
 
10.5%
10:00~18:00(입장마감 83
 
10.3%
17:00)▒매주 54
 
6.7%
오후 22
 
2.7%
입장마감 22
 
2.7%
2시 20
 
2.5%
19
 
2.4%
마지막 17
 
2.1%
수요일 17
 
2.1%
Other values (101) 380
47.1%

viewing_charst
Categorical

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
▒▒▒
24 
성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒
12 
▒▒▒메인 전시(내일전) 관람 시 무료
 
4
▒▒▒메인전시 (내가 사는 피부) 관람 시 무료 관람
 
3
성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒
 
3
Other values (40)
54 

Length

Max length346
Median length203.5
Mean length61.98
Min length3

Unique

Unique28 ?
Unique (%)28.0%

Sample

1st row▒▒▒메인 전시 (소마 드로잉_무심) 관람 시 무료 관람
2nd row▒▒▒메인 전시(내일전) 관람 시 무료
3rd row성인, 대학생 3,000원, 청소년(13~18세), 예술인패스 소지자 2,000원, 어린이(12세 이하) 1,000원▒성인, 대학생 1,500원, 청소년(13~18세), 예술인패스 소지자 1,000원, 어린이(12세 이하) 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒
4th row성인(만19~64세) 14,000원, 청소년(만13~18세) 10,000원, 어린이(만7~12세 이하) 8,000원▒성인(만19~64세) 12,000원, 청소년(만13~18세) 8,000원, 어린이(만7~12세 이하) 6,000원▒만 4세미만, 만 65세 이상, 국가유공자 본인, 장애인(1-3급 본인과 보호자 1인) 무료▒특별요금 (6,000원) 만 65세 이상(신분증 지참시), 장애인 4-6급, 미취학아동 만4-6세, 국가유공자유족증 소유자(본인), 독립유공자유족증 소유자(본인), 의사상자유족증 소유자▒한국문화예술위원회에서 발행한 예술인패스 소지자(본인)는 성인 단체요금(12,000)으로 관람하실 수 있습니다.
5th row성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒예술인 패스 소지자 및 대학교 학생증 소지자는 청소년 요금 적용

Common Values

ValueCountFrequency (%)
▒▒▒ 24
24.0%
성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒ 12
 
12.0%
▒▒▒메인 전시(내일전) 관람 시 무료 4
 
4.0%
▒▒▒메인전시 (내가 사는 피부) 관람 시 무료 관람 3
 
3.0%
성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒ 3
 
3.0%
▒▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒메인전시 (내일_오픈아카이브) 관람 시 무료 관람 3
 
3.0%
▒▒▒메인전시 (일부러 불편하게) 관람시 무료관람 3
 
3.0%
▒▒▒메인 전시(어느 곳도 아닌 이곳) 관람 시 무료 관람▒문화가 있는 날 전체 관람객 무료입장▒문화의 달 전체 관람객 무료입장 2
 
2.0%
성인, 대학생 3,000원, 청소년(13~18세), 예술인패스 소지자 2,000원, 어린이(12세 이하) 1,000원▒성인, 대학생 1,500원, 청소년(13~18세), 예술인패스 소지자 1,000원, 어린이(12세 이하) 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒ 2
 
2.0%
성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒문화가 있는 날 전체 관람객 무료입장 2
 
2.0%
Other values (35) 42
42.0%

Length

2023-12-10T19:07:34.370110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이 61
 
5.8%
청소년(13~24세 58
 
5.6%
관람 50
 
4.8%
성인 37
 
3.5%
3,000원 36
 
3.4%
무료 35
 
3.4%
1,000원 34
 
3.3%
2,000원 33
 
3.2%
1,500원 33
 
3.2%
1,000원▒성인 30
 
2.9%
Other values (203) 637
61.0%

ebook_url
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T19:07:35.267274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length86
Mean length86
Min length86

Characters and Unicode

Total characters172
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row/manage/upload_files/display/ebook/2019/01/08/dfcf1619-d56a-4ab1-b584-0b9a45a81c8c.pdf
2nd row/manage/upload_files/display/ebook/2019/01/08/fdb9f8fe-699c-4987-b17a-5d385e32f4dd.pdf
ValueCountFrequency (%)
manage/upload_files/display/ebook/2019/01/08/dfcf1619-d56a-4ab1-b584-0b9a45a81c8c.pdf 1
50.0%
manage/upload_files/display/ebook/2019/01/08/fdb9f8fe-699c-4987-b17a-5d385e32f4dd.pdf 1
50.0%
2023-12-10T19:07:35.987231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 16
 
9.3%
a 13
 
7.6%
d 12
 
7.0%
f 10
 
5.8%
1 9
 
5.2%
9 8
 
4.7%
- 8
 
4.7%
8 8
 
4.7%
e 8
 
4.7%
b 7
 
4.1%
Other values (21) 73
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 92
53.5%
Decimal Number 52
30.2%
Other Punctuation 18
 
10.5%
Dash Punctuation 8
 
4.7%
Connector Punctuation 2
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 13
14.1%
d 12
13.0%
f 10
10.9%
e 8
8.7%
b 7
7.6%
l 6
 
6.5%
o 6
 
6.5%
p 6
 
6.5%
c 4
 
4.3%
i 4
 
4.3%
Other values (7) 16
17.4%
Decimal Number
ValueCountFrequency (%)
1 9
17.3%
9 8
15.4%
8 8
15.4%
0 7
13.5%
4 5
9.6%
5 5
9.6%
6 3
 
5.8%
2 3
 
5.8%
7 2
 
3.8%
3 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 16
88.9%
. 2
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 92
53.5%
Common 80
46.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 13
14.1%
d 12
13.0%
f 10
10.9%
e 8
8.7%
b 7
7.6%
l 6
 
6.5%
o 6
 
6.5%
p 6
 
6.5%
c 4
 
4.3%
i 4
 
4.3%
Other values (7) 16
17.4%
Common
ValueCountFrequency (%)
/ 16
20.0%
1 9
11.2%
9 8
10.0%
- 8
10.0%
8 8
10.0%
0 7
8.8%
4 5
 
6.2%
5 5
 
6.2%
6 3
 
3.8%
2 3
 
3.8%
Other values (4) 8
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 16
 
9.3%
a 13
 
7.6%
d 12
 
7.0%
f 10
 
5.8%
1 9
 
5.2%
9 8
 
4.7%
- 8
 
4.7%
8 8
 
4.7%
e 8
 
4.7%
b 7
 
4.1%
Other values (21) 73
42.4%

ebook_nm
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T19:07:36.298394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length16
Min length13

Characters and Unicode

Total characters32
Distinct characters22
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowsoma_황창배전.pdf
2nd rowsoma_일부러불편하게_최종.pdf
ValueCountFrequency (%)
soma_황창배전.pdf 1
50.0%
soma_일부러불편하게_최종.pdf 1
50.0%
2023-12-10T19:07:36.867869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 3
 
9.4%
s 2
 
6.2%
. 2
 
6.2%
f 2
 
6.2%
o 2
 
6.2%
p 2
 
6.2%
d 2
 
6.2%
a 2
 
6.2%
m 2
 
6.2%
1
 
3.1%
Other values (12) 12
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14
43.8%
Other Letter 13
40.6%
Connector Punctuation 3
 
9.4%
Other Punctuation 2
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
14.3%
f 2
14.3%
o 2
14.3%
p 2
14.3%
d 2
14.3%
a 2
14.3%
m 2
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
43.8%
Hangul 13
40.6%
Common 5
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%
Latin
ValueCountFrequency (%)
s 2
14.3%
f 2
14.3%
o 2
14.3%
p 2
14.3%
d 2
14.3%
a 2
14.3%
m 2
14.3%
Common
ValueCountFrequency (%)
_ 3
60.0%
. 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
59.4%
Hangul 13
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 3
15.8%
s 2
10.5%
. 2
10.5%
f 2
10.5%
o 2
10.5%
p 2
10.5%
d 2
10.5%
a 2
10.5%
m 2
10.5%
Hangul
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%

dspy_image_url
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:07:37.439382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length103
Mean length101
Min length78

Characters and Unicode

Total characters10100
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowhttps://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/558dc308-f498-4de4-9e8e-75eac8a047cd.jpg
2nd rowhttps://soma.kspo.or.kr/manage/upload_files/display/2021/11/29/009ad924-ac1f-4e4f-aeeb-69272724a33e.jpg
3rd rowhttps://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/a79e4d24-8bb9-4671-a7c4-736f46695357.jpg
4th rowhttps://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/f471cf12-e0db-46cf-b18a-b678e3755c4b.jpg
5th rowhttps://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/58609c86-4be4-4515-8b70-683fc8768c77.jpg
ValueCountFrequency (%)
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/558dc308-f498-4de4-9e8e-75eac8a047cd.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/4321b1de-7c41-4d58-9322-501fbbba1fa1.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/7235a254-6f09-4464-8adf-58e549d20327.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/09/e5485a92-0096-4bde-96b0-880f863cffe2.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/07/be24459e-85c2-4174-915c-5ae35ef6b035.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/7bf8b02e-611f-4a40-b5b6-a8bc9ae39e0a.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2020/11/24/d7ef212f-0f26-45c9-8b08-7a360e5b0615.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2021/08/12/3e0d101c-8b15-4d54-8cdd-567f2ebd3af5.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/6b9fe615-d73c-4efd-911c-576b7bee12ce.jpg 1
 
1.0%
https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/f755c9f3-f774-4fe7-aaae-2f05d7867585.jpg 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T19:07:38.201966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 884
 
8.8%
a 666
 
6.6%
p 492
 
4.9%
s 492
 
4.9%
0 459
 
4.5%
. 400
 
4.0%
o 400
 
4.0%
1 396
 
3.9%
e 380
 
3.8%
- 368
 
3.6%
Other values (27) 5163
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5483
54.3%
Decimal Number 2765
27.4%
Other Punctuation 1384
 
13.7%
Dash Punctuation 368
 
3.6%
Connector Punctuation 100
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 666
 
12.1%
p 492
 
9.0%
s 492
 
9.0%
o 400
 
7.3%
e 380
 
6.9%
d 366
 
6.7%
l 292
 
5.3%
f 259
 
4.7%
m 208
 
3.8%
g 208
 
3.8%
Other values (12) 1720
31.4%
Decimal Number
ValueCountFrequency (%)
0 459
16.6%
1 396
14.3%
4 290
10.5%
9 289
10.5%
2 285
10.3%
8 274
9.9%
5 211
7.6%
7 204
7.4%
6 183
 
6.6%
3 174
 
6.3%
Other Punctuation
ValueCountFrequency (%)
/ 884
63.9%
. 400
28.9%
: 100
 
7.2%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5483
54.3%
Common 4617
45.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 666
 
12.1%
p 492
 
9.0%
s 492
 
9.0%
o 400
 
7.3%
e 380
 
6.9%
d 366
 
6.7%
l 292
 
5.3%
f 259
 
4.7%
m 208
 
3.8%
g 208
 
3.8%
Other values (12) 1720
31.4%
Common
ValueCountFrequency (%)
/ 884
19.1%
0 459
9.9%
. 400
8.7%
1 396
8.6%
- 368
8.0%
4 290
 
6.3%
9 289
 
6.3%
2 285
 
6.2%
8 274
 
5.9%
5 211
 
4.6%
Other values (5) 761
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 884
 
8.8%
a 666
 
6.6%
p 492
 
4.9%
s 492
 
4.9%
0 459
 
4.5%
. 400
 
4.0%
o 400
 
4.0%
1 396
 
3.9%
e 380
 
3.8%
- 368
 
3.6%
Other values (27) 5163
51.1%

dspy_image_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:07:38.950918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length24.12
Min length7

Characters and Unicode

Total characters2412
Distinct characters223
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowD2015_인투드로잉29_포스터.pdf_page_1.jpg
2nd rowInto Drawing Plus_포스터.jpg
3rd rowSOMA 야외 프로젝트 S.jpg
4th row밀레, 모더니즘의 탄생.JPG
5th row2014_Water-천진난만_포스터.pdf_page_1.jpg
ValueCountFrequency (%)
포스터.jpg 4
 
2.5%
인투드로잉 3
 
1.9%
d2013_into 2
 
1.3%
d2014_into 2
 
1.3%
drawing 2
 
1.3%
d2010_intodrawing13_포스터_초청장.pdf_page_1.jpg 1
 
0.6%
표정과 1
 
0.6%
몸짓_소마미술관 1
 
0.6%
소장품.jpg 1
 
0.6%
인투드로잉43 1
 
0.6%
Other values (139) 139
88.5%
2023-12-10T19:07:39.637763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 192
 
8.0%
p 179
 
7.4%
g 148
 
6.1%
. 140
 
5.8%
0 127
 
5.3%
1 121
 
5.0%
j 96
 
4.0%
2 93
 
3.9%
76
 
3.2%
69
 
2.9%
Other values (213) 1171
48.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 747
31.0%
Other Letter 655
27.2%
Decimal Number 507
21.0%
Connector Punctuation 192
 
8.0%
Other Punctuation 144
 
6.0%
Uppercase Letter 71
 
2.9%
Space Separator 57
 
2.4%
Dash Punctuation 29
 
1.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
76
 
11.6%
69
 
10.5%
69
 
10.5%
33
 
5.0%
29
 
4.4%
27
 
4.1%
24
 
3.7%
21
 
3.2%
8
 
1.2%
7
 
1.1%
Other values (159) 292
44.6%
Lowercase Letter
ValueCountFrequency (%)
p 179
24.0%
g 148
19.8%
j 96
12.9%
a 58
 
7.8%
d 49
 
6.6%
e 49
 
6.6%
f 40
 
5.4%
n 27
 
3.6%
i 20
 
2.7%
t 19
 
2.5%
Other values (8) 62
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
D 33
46.5%
P 5
 
7.0%
I 4
 
5.6%
J 4
 
5.6%
G 4
 
5.6%
O 3
 
4.2%
A 3
 
4.2%
M 3
 
4.2%
S 3
 
4.2%
W 2
 
2.8%
Other values (7) 7
 
9.9%
Decimal Number
ValueCountFrequency (%)
0 127
25.0%
1 121
23.9%
2 93
18.3%
3 37
 
7.3%
4 30
 
5.9%
8 26
 
5.1%
9 24
 
4.7%
6 20
 
3.9%
5 16
 
3.2%
7 13
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 140
97.2%
, 4
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 4
80.0%
[ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 4
80.0%
] 1
 
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 192
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 939
38.9%
Latin 818
33.9%
Hangul 655
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
76
 
11.6%
69
 
10.5%
69
 
10.5%
33
 
5.0%
29
 
4.4%
27
 
4.1%
24
 
3.7%
21
 
3.2%
8
 
1.2%
7
 
1.1%
Other values (159) 292
44.6%
Latin
ValueCountFrequency (%)
p 179
21.9%
g 148
18.1%
j 96
11.7%
a 58
 
7.1%
d 49
 
6.0%
e 49
 
6.0%
f 40
 
4.9%
D 33
 
4.0%
n 27
 
3.3%
i 20
 
2.4%
Other values (25) 119
14.5%
Common
ValueCountFrequency (%)
_ 192
20.4%
. 140
14.9%
0 127
13.5%
1 121
12.9%
2 93
9.9%
57
 
6.1%
3 37
 
3.9%
4 30
 
3.2%
- 29
 
3.1%
8 26
 
2.8%
Other values (9) 87
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1757
72.8%
Hangul 655
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 192
 
10.9%
p 179
 
10.2%
g 148
 
8.4%
. 140
 
8.0%
0 127
 
7.2%
1 121
 
6.9%
j 96
 
5.5%
2 93
 
5.3%
a 58
 
3.3%
57
 
3.2%
Other values (44) 546
31.1%
Hangul
ValueCountFrequency (%)
76
 
11.6%
69
 
10.5%
69
 
10.5%
33
 
5.0%
29
 
4.4%
27
 
4.1%
24
 
3.7%
21
 
3.2%
8
 
1.2%
7
 
1.1%
Other values (159) 292
44.6%

dspy_eng_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:07:40.209760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length39
Mean length26.34
Min length7

Characters and Unicode

Total characters2634
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowInto Drawing 29_Gaucho Malo
2nd rowInto Drawing Plus
3rd rowSOMA outdoor project S
4th rowMillet, Barbizon &amp; Fontainebleau
5th rowWATER_INNOCENCE
ValueCountFrequency (%)
drawing 46
 
11.8%
into 34
 
8.7%
the 13
 
3.3%
of 6
 
1.5%
and 6
 
1.5%
to 6
 
1.5%
now 5
 
1.3%
4
 
1.0%
life 3
 
0.8%
soma 3
 
0.8%
Other values (236) 265
67.8%
2023-12-10T19:07:41.156805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
 
11.0%
n 187
 
7.1%
e 153
 
5.8%
a 149
 
5.7%
o 148
 
5.6%
i 145
 
5.5%
r 130
 
4.9%
t 123
 
4.7%
g 81
 
3.1%
D 76
 
2.9%
Other values (61) 1151
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1596
60.6%
Uppercase Letter 562
 
21.3%
Space Separator 291
 
11.0%
Decimal Number 90
 
3.4%
Connector Punctuation 45
 
1.7%
Other Punctuation 41
 
1.6%
Dash Punctuation 8
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 187
11.7%
e 153
9.6%
a 149
9.3%
o 148
9.3%
i 145
9.1%
r 130
 
8.1%
t 123
 
7.7%
g 81
 
5.1%
s 67
 
4.2%
w 63
 
3.9%
Other values (15) 350
21.9%
Uppercase Letter
ValueCountFrequency (%)
D 76
13.5%
I 54
 
9.6%
A 40
 
7.1%
E 39
 
6.9%
R 34
 
6.0%
O 34
 
6.0%
T 32
 
5.7%
M 27
 
4.8%
N 27
 
4.8%
S 26
 
4.6%
Other values (15) 173
30.8%
Decimal Number
ValueCountFrequency (%)
3 20
22.2%
0 14
15.6%
1 11
12.2%
2 11
12.2%
8 8
 
8.9%
4 8
 
8.9%
9 7
 
7.8%
5 5
 
5.6%
6 5
 
5.6%
7 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 8
19.5%
, 8
19.5%
& 7
17.1%
; 7
17.1%
: 5
12.2%
# 5
12.2%
? 1
 
2.4%
Space Separator
ValueCountFrequency (%)
291
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2158
81.9%
Common 476
 
18.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 187
 
8.7%
e 153
 
7.1%
a 149
 
6.9%
o 148
 
6.9%
i 145
 
6.7%
r 130
 
6.0%
t 123
 
5.7%
g 81
 
3.8%
D 76
 
3.5%
s 67
 
3.1%
Other values (40) 899
41.7%
Common
ValueCountFrequency (%)
291
61.1%
_ 45
 
9.5%
3 20
 
4.2%
0 14
 
2.9%
1 11
 
2.3%
2 11
 
2.3%
- 8
 
1.7%
8 8
 
1.7%
. 8
 
1.7%
, 8
 
1.7%
Other values (11) 52
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
 
11.0%
n 187
 
7.1%
e 153
 
5.8%
a 149
 
5.7%
o 148
 
5.6%
i 145
 
5.5%
r 130
 
4.9%
t 123
 
4.7%
g 81
 
3.1%
D 76
 
2.9%
Other values (61) 1151
43.7%

dspy_eng_cn
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing96
Missing (%)96.0%
Memory size932.0 B
2023-12-10T19:07:41.658961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length585
Mean length557
Min length34

Characters and Unicode

Total characters2228
Distinct characters108
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row드로잉 박스,2021.8.13~2.6 소마미술관 1관 1전시실
2nd rowSOMA is holding &lt;The Scenery We Face, Our Daily Gaze&gt;, a special, joint exhibition of Korea and Spain, to offer the chance to view our normal daily sceneries from a different perspective and reconsider their meaning. With the common topic of &ldquo;daily sceneries&rdquo;, we aim to view the daily gaze of artists from Korea and Spain and reflect upon our changing daily lives.,,Even common sceneries from the mundane and repetitive daily lives that we may otherwise pass by are engraved as one of the many impressive sceneries through the perspective and experience of each artist, and these impressions further integrate themselves with the screens to draw yet another impression as a new image. In this exhibition, we can enjoy the various perspectives of six artists, including MyongHi, Kim, YongSun Suh, GeneUk Choi, Jes&uacute;s Sus Monta&ntilde;&eacute;s, Javier Granados, and Jordi Pint&oacute;, on their daily lives through an intersecting form and study different methods of the perspectives on the world of
3rd rowThe Seoul Olympic Museum of Art (SOMA) has routinely held exhibitions titled Artists Rediscovered, the first of which was Jooho Kim, Hanjin Park, Kunyong Lee &mdash;Restless Hand, Unfixed Spirit. These exhibitions including Sunghy Shin&mdash;Soonja Han (2009) and TchahSup Kim, Soocheon Jheon, Ai Kyu Hahn &mdash;Deep Breath (2014) have been continuously organized in the form of a two-man or three-man exhibition. This type of art show has given prominence to both the spirit of artists and the spirit of the times through works by artists who are deemed worthy of having their art re-examined from the perspective of contemporary Korean art trends. Such an exhibition was also designed to take a closer look at an artist&rsquo;s worldview and art world in the form of a retrospective from Changbae Hwang &mdash;The Tent of Delights in 2018. ,,This year&rsquo;s Artists Rediscovered exhibition is intended to lay out the story of In Ryu (July 20, 1956-January 11, 1999), a sculptural genius who died at a young age. 2019 ma
4th row내일전_Drag and Draw ,김인영, 류정민, 민정See, 배성희, 손민아, 심아빈, 이성미, 이정배, 임정은, 장지은,2021.8.13-2022.2.6,소마미술관 1관 Seoul Olympic Museum of Art,주최 주관 국민체육진흥공단 소마미술관
ValueCountFrequency (%)
of 20
 
5.7%
the 19
 
5.4%
and 13
 
3.7%
a 8
 
2.3%
to 7
 
2.0%
daily 6
 
1.7%
artists 6
 
1.7%
in 5
 
1.4%
art 5
 
1.4%
exhibition 5
 
1.4%
Other values (201) 257
73.2%
2023-12-10T19:07:42.477008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
15.6%
e 198
 
8.9%
i 136
 
6.1%
t 126
 
5.7%
o 122
 
5.5%
a 118
 
5.3%
n 117
 
5.3%
r 105
 
4.7%
s 104
 
4.7%
h 85
 
3.8%
Other values (98) 769
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1566
70.3%
Space Separator 348
 
15.6%
Uppercase Letter 92
 
4.1%
Other Punctuation 85
 
3.8%
Other Letter 69
 
3.1%
Decimal Number 53
 
2.4%
Dash Punctuation 5
 
0.2%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (32) 36
52.2%
Lowercase Letter
ValueCountFrequency (%)
e 198
12.6%
i 136
 
8.7%
t 126
 
8.0%
o 122
 
7.8%
a 118
 
7.5%
n 117
 
7.5%
r 105
 
6.7%
s 104
 
6.6%
h 85
 
5.4%
d 61
 
3.9%
Other values (16) 394
25.2%
Uppercase Letter
ValueCountFrequency (%)
S 18
19.6%
K 8
8.7%
T 8
8.7%
A 7
 
7.6%
J 7
 
7.6%
H 6
 
6.5%
M 6
 
6.5%
O 5
 
5.4%
D 5
 
5.4%
R 4
 
4.3%
Other values (11) 18
19.6%
Decimal Number
ValueCountFrequency (%)
1 14
26.4%
2 14
26.4%
0 9
17.0%
9 6
11.3%
8 3
 
5.7%
6 3
 
5.7%
3 2
 
3.8%
4 1
 
1.9%
5 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 42
49.4%
. 15
 
17.6%
& 14
 
16.5%
; 14
 
16.5%
Space Separator
ValueCountFrequency (%)
348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1658
74.4%
Common 501
 
22.5%
Hangul 69
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 198
11.9%
i 136
 
8.2%
t 126
 
7.6%
o 122
 
7.4%
a 118
 
7.1%
n 117
 
7.1%
r 105
 
6.3%
s 104
 
6.3%
h 85
 
5.1%
d 61
 
3.7%
Other values (37) 486
29.3%
Hangul
ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (32) 36
52.2%
Common
ValueCountFrequency (%)
348
69.5%
, 42
 
8.4%
. 15
 
3.0%
& 14
 
2.8%
1 14
 
2.8%
; 14
 
2.8%
2 14
 
2.8%
0 9
 
1.8%
9 6
 
1.2%
- 5
 
1.0%
Other values (9) 20
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2159
96.9%
Hangul 69
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
16.1%
e 198
 
9.2%
i 136
 
6.3%
t 126
 
5.8%
o 122
 
5.7%
a 118
 
5.5%
n 117
 
5.4%
r 105
 
4.9%
s 104
 
4.8%
h 85
 
3.9%
Other values (56) 700
32.4%
Hangul
ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (32) 36
52.2%

rdcnt
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6850.97
Minimum9
Maximum26028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:07:42.774486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile892.6
Q11959.5
median5716.5
Q39512.75
95-th percentile19560.7
Maximum26028
Range26019
Interquartile range (IQR)7553.25

Descriptive statistics

Standard deviation5738.0932
Coefficient of variation (CV)0.83755924
Kurtosis0.9047284
Mean6850.97
Median Absolute Deviation (MAD)3779
Skewness1.1281134
Sum685097
Variance32925714
MonotonicityNot monotonic
2023-12-10T19:07:43.151687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1475 1
 
1.0%
1068 1
 
1.0%
1636 1
 
1.0%
1326 1
 
1.0%
1509 1
 
1.0%
3467 1
 
1.0%
1579 1
 
1.0%
13440 1
 
1.0%
897 1
 
1.0%
7885 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9 1
1.0%
303 1
1.0%
696 1
1.0%
724 1
1.0%
809 1
1.0%
897 1
1.0%
1052 1
1.0%
1056 1
1.0%
1068 1
1.0%
1103 1
1.0%
ValueCountFrequency (%)
26028 1
1.0%
23226 1
1.0%
20276 1
1.0%
19712 1
1.0%
19669 1
1.0%
19555 1
1.0%
17565 1
1.0%
17356 1
1.0%
16552 1
1.0%
14957 1
1.0%

Sample

pavln_charstdspy_nmfspy_bgndedspy_enndedspy_state_cddspy_state_nmplaceopen_dateopen_timemnnstwritrprdcttime_charstviewing_charstebook_urlebook_nmdspy_image_urldspy_image_nmdspy_eng_nmdspy_eng_cnrdcnt
01관Into Drawing 29 악한 목동2015122420160110P종료소마드로잉센터 전시실(제5전시실)<NA><NA>국민체육진흥공단 소마미술관최대진 Daejin Choi드로잉, 오브제, 설치 등 10여점10:00~18:00(입장마감 17:20)▒매주 월요일 휴관▒▒▒메인 전시 (소마 드로잉_무심) 관람 시 무료 관람<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/558dc308-f498-4de4-9e8e-75eac8a047cd.jpgD2015_인투드로잉29_포스터.pdf_page_1.jpgInto Drawing 29_Gaucho Malo<NA>1475
1<NA>Into Drawing Plus2021122920220206N예정소마미술관 1관 5전시실<NA><NA>국민체육진흥공단 / 소마미술관이경희, 육효진, 황원해회화, 드로잉, 설치10:00~18:00(17:30 입장마감)▒▒▒메인 전시(내일전) 관람 시 무료<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2021/11/29/009ad924-ac1f-4e4f-aeeb-69272724a33e.jpgInto Drawing Plus_포스터.jpgInto Drawing Plus<NA>9
21관SOMA 야외 프로젝트 S2015091820151018P종료소마미술관 5전시실, 미술관 야외 공간<NA><NA>국민체육진흥공단, 소마미술관국형걸+전병삼, 조은필+유재우, 양수인+카입, 손몽주+안용대, 천대광+장영철 이상 총 10명설치, 사진, 영상, 모형, 드로잉 작품 20여점10:00~18:00(입장마감 17:20)▒도슨트 시간 : [화~금] 오후 2시, 4시 [주말] 오전 11시, 오후 1시, 2시, 4시▒매주 월요일 및 추석 당일 휴관성인, 대학생 3,000원, 청소년(13~18세), 예술인패스 소지자 2,000원, 어린이(12세 이하) 1,000원▒성인, 대학생 1,500원, 청소년(13~18세), 예술인패스 소지자 1,000원, 어린이(12세 이하) 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/a79e4d24-8bb9-4671-a7c4-736f46695357.jpgSOMA 야외 프로젝트 S.jpgSOMA outdoor project S<NA>2046
31관밀레, 모더니즘의 탄생2015012520150510P종료소마미술관(올림픽공원 내)<NA><NA>국민체육진흥공단, 서울경제, 한국일보문화사업단<NA>밀레(25점), 바르비종 &amp;amp;amp;amp; 퐁텐블로 풍경화가(39점) 등 총 20인의 작품 64점[월, 화, 수, 목, 주말, 공휴일] 10:00~20:00(입장마감 19:20)▒[금] 10:00~21:00(입장마감 20:20)▒매월 마지막 주 월요일 휴관성인(만19~64세) 14,000원, 청소년(만13~18세) 10,000원, 어린이(만7~12세 이하) 8,000원▒성인(만19~64세) 12,000원, 청소년(만13~18세) 8,000원, 어린이(만7~12세 이하) 6,000원▒만 4세미만, 만 65세 이상, 국가유공자 본인, 장애인(1-3급 본인과 보호자 1인) 무료▒특별요금 (6,000원) 만 65세 이상(신분증 지참시), 장애인 4-6급, 미취학아동 만4-6세, 국가유공자유족증 소유자(본인), 독립유공자유족증 소유자(본인), 의사상자유족증 소유자▒한국문화예술위원회에서 발행한 예술인패스 소지자(본인)는 성인 단체요금(12,000)으로 관람하실 수 있습니다.<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/f471cf12-e0db-46cf-b18a-b678e3755c4b.jpg밀레, 모더니즘의 탄생.JPGMillet, Barbizon &amp; Fontainebleau<NA>17356
41관Water_천진난만2014081520141026P종료소마미술관 1~4 전시실 및 야외 공간<NA><NA>국민체육진흥공단 소마미술관강은수, 김연, 김창겸, 김창환, 박상화 ,박정선(1), 박정선(2), 백남준, 변경수, 부지현, 송창애, 안규철, 안종연, 원성원, 이기봉, 이상원, 이예린, 이용제, 정기엽, 폴 뷔리, 하원, 한호 총 22명조각, 설치, 영상, 회화, 사진, 드로잉 등 총 40여점10:00~18:00(입장마감 17:00)▒도슨트 시간 : [화~금] 오후 2시, 4시 [주말] 오전 11시, 오후 1시, 2시, 4시▒매주 월요일 및 추석 당일 휴관성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒만 4세미만, 만 65세 이상, 국가유공자, 장애인 무료▒예술인 패스 소지자 및 대학교 학생증 소지자는 청소년 요금 적용<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/58609c86-4be4-4515-8b70-683fc8768c77.jpg2014_Water-천진난만_포스터.pdf_page_1.jpgWATER_INNOCENCE<NA>7437
51관드로잉조각, 공중누각(空中樓閣)2009070920090830P종료소마미술관<NA><NA>소마미술관, 국민체육진흥공단강영민, 김세일, 박선기, 장연순, 전강옥, 함연주 총 6명설치 작품 10여 점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/d7145394-784c-4fec-9786-01bdd3506a79.jpg2009_공중누각_포스터.pdf_page_1.jpgDrawing Sculpture_Bulid house in the air<NA>4698
61관현대미술에 지대한 영향을 끼친 독일 예술가 &ldquo;요셉 보이스 : 멀티플&rdquo;展2011061620110828P종료소마미술관 제1~6전시실<NA><NA>국민체육진흥공단, 매일경제요셉 보이스(Joseph Beuys)판화, 드로잉, 오브제, 필름 등 총 200여 점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관성인 9,000원, 청소년(13~24세) 7,000원, 어린이 5,000원▒성인 7,000원, 청소년(13~24세) 5,000원, 어린이 3,000원▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/6476c65e-49d9-4986-a220-e56740806e5d.jpg2011_요셉보이스_포스터.pdf_page_2.jpgJoseph Beuys_The Multiples<NA>13402
7<NA>소마미술관 소장품전2020010220200224P종료소마미술관 2관 3,4전시실<NA><NA>국민체육진흥공단 / 소마미술관<NA>소마미술관 소장품10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒소마미술관은 코로나바이러스 감염증-19 예방조치를 위하여 2월 24일(월)부터 별도 안내 시까지 잠정 휴관하오니 관람객 여러분의 협조와 양해 바랍니다.▒▒▒무료관람<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/12/30/96ed9f7f-375c-41cd-9920-59b949958905.jpg1230-6.JPGSOMA Collection Permanent Exhibition<NA>5802
81관&ldquo;아시아 코드_空&rdquo;展개최2013101120131222P종료소마미술관 제 1~4 전시실<NA><NA>국민체육진흥공단 소마미술관권부문, 김태호, 노상균, 육근병, 홍승희(이상 한국), 야나기 유키노리, 미야지마 타츠오,와타나베 고(이상 일본), 팡 리쥔, 가오 레이(이상 중국), 수보드 굽타(인도),준 응우옌-하츠시바(베트남), 수잔 빅터(싱가포르) (총 13명)회화, 드로잉, 사진, 영상, 설치 등 약 30여점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관성인, 대학생 3,000원, 청소년(13~18세) 2,000원, 어린이(12세이하) 1,000원▒성인, 대학생 1,500원, 청소년(13~18세) 1,000원, 어린이(12세이하) 500원▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/58234c85-888f-4f78-b6c5-caf41947f856.jpg아시아코드_공전.JPGAsia Code_Zero<NA>10019
91관그다음 몸_담론, 실천, 재현으로서의 예술2016061020160828P종료소마미술관 전관<NA><NA>국민체육진흥공단 소마미술관김무영, 김옥선, 김인배, 김월식, 노승복, 니키리,박보나, 박진아, 백남준, 안은미, 오석근, 유목연,이병호, 이우성, 차학경 총 15명회화, 조각, 사진, 설치, 영상, 퍼포먼스 등 총 100여점10:00~18:00(입장마감 17:20)▒문화가 있는 날(매월 마지막 주 수요일 및 금요일) 야간 연장 개관(10:00~21:00, 입장마감 20:20)▒매주 월요일 휴관성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒문화가 있는 날 전체 관람객 무료입장<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/4321df71-3721-4ce6-997d-08bcc56a3088.jpg그 다음 몸_담론, 실천, 재현으로서의 예술.jpgBODY MATTERS<NA>7656
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901관동작의 전환2016122320170226P종료소마미술관 1~5전시실<NA><NA>국민체육진흥공단 소마미술관최상철, 최선 총 2명회화, 조각, 설치, 영상 작품 60여 점10:00~18:00(입장마감 17:20)▒문화가 있는 날(매월 마지막 주 수요일) 야간 연장 개관(10:00~21:00, 입장마감 20:20)▒매주 월요일 및 1월 1일, 설날 당일 휴관성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒문화가 있는 날 전체 관람객 무료입장<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/3acdef1d-c88f-46ed-b094-fc7375449c2e.jpg동작의 전환.jpgTransition of MOVEMENT<NA>2648
911관&ldquo;힘, 아름다움은 어디에 있는가?&rdquo;展2013071220130922P종료소마미술관 전관 및 야외전시공간<NA><NA>국민체육진흥공단 소마미술관강애란, 고명근, 김신일, 백남준, 서도호, 성동훈, 정현, 최태훈, 우웨이샨, 왕중, 인샤오펑, 오마키 신지, 안테나, 팀랩, 류포춘 총 15명(팀)조각, 미디어, 설치 등 총 29점10:00~18:00(입장마감 17:00)▒도슨트 시간 : [화~금] 오후 2시, 4시 [주말] 오전 11시, 오후 1시, 2시, 4시▒매주 월요일 휴관성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/09/c6cbeef0-4401-43ba-abf6-48d16ec2a8db.jpg힘전-포스터최종.pdf_page_1.jpgPOWER, WHERE DOES THE BEAUTY LIE?<NA>7576
921관Into Drawing 32 원더 풀 라이프2016110420161120P종료소마드로잉센터 전시실(제1전시실)<NA><NA>국민체육진흥공단 소마미술관김제민 Jeimin Kim드로잉, 회화, 설치, 영상 등 30여점10:00~18:00(입장마감 17:20)▒매주 월요일 휴관▒▒▒메인전시 (어느 곳도 아닌 이곳) 관람 시 무료 관람<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/09/62cd1613-633a-4769-ada8-816b870f0b57.jpg인투드로잉 32-포스터-최종.pdf_page_1.jpgInto Drawing 32_Wonder-Pul Life<NA>1800
931관Into Drawing 25 유유자적2014091220140928P종료소마드로잉센터 전시실(제5전시실)<NA><NA>국민체육진흥공단 소마미술관이윤진 Yunjin Lee드로잉 10여점10:00~18:00(입장마감 17:00)▒매주 월요일 및 추석당일 휴관▒▒▒메인 전시 (Water_천진난만) 관람 시 무료 관람<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/ee000587-1d89-4c1c-9961-59662a26a641.jpgD2014_into drawing25_포스터.jpgInto Drawing 25_A Quiet Journey into Life<NA>1293
941관Into Drawing 10 대화2009060420090628P종료소마드로잉센터 전시실<NA><NA>소마미술관/국민체육진흥공단박혜수 Hyesoo Park10여 점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/66d1092d-24d9-444b-beb8-b07cdd1433ef.jpgD2009_인투드로잉10_포스터_초대장.pdf_page_1.jpgInto Drawing 10_Dialogue<NA>3353
951관내일 - 토끼 사냥의 필연2006072020060907P종료소마미술관<NA><NA>소마미술관뮌 / 입김 / 집단 &#39;막&#39;/ 최승훈+박선민 / 플라잉시티<NA>10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/15/fdb19ac5-ff89-4d97-a674-03e384a20af5.jpg토끼 사냥의 필연.jpgThe Collaborations<NA>11879
961관파울 클레 : 눈으로 마음으로2006040720060702P종료소마미술관<NA><NA>소마미술관, 동아일보사, (주)로렌스 제프리스파울 클레드로잉 및 회화 작품 60점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/16/598b8a88-b4b1-4288-ad91-8e175b0a0641.jpg파울클레 1.jpgPaul Klee_To Draw, To Paint<NA>19555
971관다이나믹 라이프展2005091520051128P종료소마미술관 제1~5전시실<NA><NA>소마미술관 / 국민체육진흥공단강영민,권여현,김경민,김익성,김일용,오상욱,이동재,임택,전상옥,정국택,최혜광회화,조각,설치작품 약 30점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/xhbt/image/2007020717242831340.jpg2007020717242831340.jpgDynamin Life<NA>6760
981관Into Drawing 18 무너지는 산2012100520121021P종료소마미술관 제6전시실<NA><NA>국민체육진흥공단 소마미술관아비탈 크나아티 Avital Cnaani종이드로잉 10여점10:00~18:00(입장마감 17:00)▒매주 월요일 휴관▒▒▒메인전시 (몸의 사유) 관람 시 무료 관람<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/7d5de693-4d4f-4e37-a7b9-65c2a9396d1a.jpgD2012_into drawing 18_포스터.pdf_page_1.jpgInto Drawing 18_Falling Mountains<NA>2578
991관Drawing Now 06 핏줄2012070620120916P종료소마드로잉센터 전시실<NA><NA>국민체육진흥공단 소마미술관안형남 Hyongnam Ahn조각, 드로잉, 설치 등 약 20여점10:00~18:00(입장마감 17:00)▒매주 수요일 10:00~20:00(입장마감 19:00)▒매주 월요일 휴관성인 3,000원, 청소년(13~24세) 2,000원, 어린이 1,000원▒성인 1,500원, 청소년(13~24세) 1,000원, 어린이 500원▒▒<NA><NA>https://soma.kspo.or.kr/manage/upload_files/display/2019/01/08/4b2662a3-9449-4c80-96ae-db0428095a74.jpgD2012_드로잉나우06_포스터.pdf_page_1.jpgDrawing Now 06_Blood Line<NA>5189