Overview

Dataset statistics

Number of variables32
Number of observations3560
Missing cells60533
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory956.2 KiB
Average record size in memory275.0 B

Variable types

Numeric5
Text9
Categorical6
Unsupported12

Alerts

대출횟수 has constant value ""Constant
별치기호 is highly imbalanced (97.0%)Imbalance
판차 is highly imbalanced (99.6%)Imbalance
가격의성격 is highly imbalanced (50.7%)Imbalance
isbn has 2088 (58.7%) missing valuesMissing
부출서명 has 2207 (62.0%) missing valuesMissing
총서명 has 3387 (95.1%) missing valuesMissing
저자명 has 274 (7.7%) missing valuesMissing
출판사 has 280 (7.9%) missing valuesMissing
권차 has 2909 (81.7%) missing valuesMissing
복본 has 3449 (96.9%) missing valuesMissing
주제어 has 1882 (52.9%) missing valuesMissing
원서명 has 3560 (100.0%) missing valuesMissing
원저자명 has 3560 (100.0%) missing valuesMissing
배가위치 has 3560 (100.0%) missing valuesMissing
자료유형 has 3560 (100.0%) missing valuesMissing
출판년도 has 1325 (37.2%) missing valuesMissing
저작년도 has 3560 (100.0%) missing valuesMissing
페이지 has 3560 (100.0%) missing valuesMissing
삽도 has 3560 (100.0%) missing valuesMissing
크기 has 3560 (100.0%) missing valuesMissing
딸림자료 has 3560 (100.0%) missing valuesMissing
가격 has 3560 (100.0%) missing valuesMissing
기증자 has 3560 (100.0%) missing valuesMissing
대출가능일 has 3560 (100.0%) missing valuesMissing
출판년도 is highly skewed (γ1 = 46.88151697)Skewed
등록번호 has unique valuesUnique
원서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
원저자명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배가위치 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자료유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
저작년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
삽도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
크기 is an unsupported type, check if it needs cleaning or further analysisUnsupported
딸림자료 is an unsupported type, check if it needs cleaning or further analysisUnsupported
가격 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기증자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대출가능일 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 03:03:12.000569
Analysis finished2024-03-14 03:03:13.734424
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

UNIQUE 

Distinct3560
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1939.2317
Minimum1
Maximum3914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.4 KiB
2024-03-14T12:03:13.790268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile202.95
Q1944.75
median1887.5
Q32981.25
95-th percentile3733.05
Maximum3914
Range3913
Interquartile range (IQR)2036.5

Descriptive statistics

Standard deviation1145.2303
Coefficient of variation (CV)0.59055879
Kurtosis-1.2271276
Mean1939.2317
Median Absolute Deviation (MAD)1019.5
Skewness0.061657858
Sum6903665
Variance1311552.6
MonotonicityStrictly increasing
2024-03-14T12:03:14.102256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2613 1
 
< 0.1%
2525 1
 
< 0.1%
2526 1
 
< 0.1%
2527 1
 
< 0.1%
2528 1
 
< 0.1%
2529 1
 
< 0.1%
2530 1
 
< 0.1%
2531 1
 
< 0.1%
2544 1
 
< 0.1%
Other values (3550) 3550
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
ValueCountFrequency (%)
3914 1
< 0.1%
3913 1
< 0.1%
3912 1
< 0.1%
3911 1
< 0.1%
3910 1
< 0.1%
3909 1
< 0.1%
3908 1
< 0.1%
3907 1
< 0.1%
3906 1
< 0.1%
3905 1
< 0.1%

isbn
Text

MISSING 

Distinct990
Distinct (%)67.3%
Missing2088
Missing (%)58.7%
Memory size27.9 KiB
2024-03-14T12:03:14.347414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length10.275136
Min length5

Characters and Unicode

Total characters15125
Distinct characters26
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique946 ?
Unique (%)64.3%

Sample

1st row8977151570
2nd row8930100651
3rd row893010066X
4th row8952749197
5th row8950970430
ValueCountFrequency (%)
9.78899e+12 116
 
7.9%
9.78896e+12 94
 
6.4%
9.78897e+12 88
 
6.0%
9.78898e+12 38
 
2.6%
9.789e+12 35
 
2.4%
9.78895e+12 25
 
1.7%
9.78894e+12 23
 
1.6%
9.78893e+12 12
 
0.8%
8970419365 11
 
0.7%
9.7889e+12 6
 
0.4%
Other values (981) 1025
69.6%
2024-03-14T12:03:14.703420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2880
19.0%
9 2709
17.9%
2 1349
8.9%
1 1285
8.5%
7 1265
8.4%
0 1205
8.0%
3 845
 
5.6%
5 735
 
4.9%
4 667
 
4.4%
6 654
 
4.3%
Other values (16) 1531
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13594
89.9%
Uppercase Letter 566
 
3.7%
Other Punctuation 487
 
3.2%
Math Symbol 467
 
3.1%
Other Letter 10
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2880
21.2%
9 2709
19.9%
2 1349
9.9%
1 1285
9.5%
7 1265
9.3%
0 1205
8.9%
3 845
 
6.2%
5 735
 
5.4%
4 667
 
4.9%
6 654
 
4.8%
Other Letter
ValueCountFrequency (%)
서 1
10.0%
양 1
10.0%
철 1
10.0%
학 1
10.0%
과 1
10.0%
미 1
10.0%
술 1
10.0%
의 1
10.0%
역 1
10.0%
사 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 467
95.9%
, 20
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
E 467
82.5%
X 99
 
17.5%
Math Symbol
ValueCountFrequency (%)
+ 467
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14549
96.2%
Latin 566
 
3.7%
Hangul 10
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2880
19.8%
9 2709
18.6%
2 1349
9.3%
1 1285
8.8%
7 1265
8.7%
0 1205
8.3%
3 845
 
5.8%
5 735
 
5.1%
4 667
 
4.6%
6 654
 
4.5%
Other values (4) 955
 
6.6%
Hangul
ValueCountFrequency (%)
서 1
10.0%
양 1
10.0%
철 1
10.0%
학 1
10.0%
과 1
10.0%
미 1
10.0%
술 1
10.0%
의 1
10.0%
역 1
10.0%
사 1
10.0%
Latin
ValueCountFrequency (%)
E 467
82.5%
X 99
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15115
99.9%
Hangul 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2880
19.1%
9 2709
17.9%
2 1349
8.9%
1 1285
8.5%
7 1265
8.4%
0 1205
8.0%
3 845
 
5.6%
5 735
 
4.9%
4 667
 
4.4%
6 654
 
4.3%
Other values (6) 1521
10.1%
Hangul
ValueCountFrequency (%)
서 1
10.0%
양 1
10.0%
철 1
10.0%
학 1
10.0%
과 1
10.0%
미 1
10.0%
술 1
10.0%
의 1
10.0%
역 1
10.0%
사 1
10.0%

도서명
Text

Distinct3192
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
2024-03-14T12:03:15.020695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length43
Mean length10.570506
Min length1

Characters and Unicode

Total characters37631
Distinct characters960
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2917 ?
Unique (%)81.9%

Sample

1st row(청소년을 위한) 서양미술사
2nd row팝 아트
3rd row후기인상주의
4th row현대예술로서의 사진
5th row미술관에서 릴케를 만나다1
ValueCountFrequency (%)
미술 66
 
0.7%
그림 56
 
0.6%
1 53
 
0.6%
미술관 52
 
0.6%
2 49
 
0.5%
디자인 43
 
0.5%
역사 40
 
0.4%
한국의 37
 
0.4%
예술 36
 
0.4%
위한 36
 
0.4%
Other values (4882) 8831
95.0%
2024-03-14T12:03:15.503305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5751
 
15.3%
의 1069
 
2.8%
술 940
 
2.5%
미 867
 
2.3%
이 593
 
1.6%
사 580
 
1.5%
화 488
 
1.3%
한 467
 
1.2%
기 419
 
1.1%
다 392
 
1.0%
Other values (950) 26065
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27354
72.7%
Space Separator 5751
 
15.3%
Lowercase Letter 1331
 
3.5%
Decimal Number 1302
 
3.5%
Uppercase Letter 1232
 
3.3%
Other Punctuation 336
 
0.9%
Close Punctuation 128
 
0.3%
Open Punctuation 128
 
0.3%
Dash Punctuation 51
 
0.1%
Math Symbol 12
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1069
 
3.9%
술 940
 
3.4%
미 867
 
3.2%
이 593
 
2.2%
사 580
 
2.1%
화 488
 
1.8%
한 467
 
1.7%
기 419
 
1.5%
다 392
 
1.4%
가 390
 
1.4%
Other values (865) 21149
77.3%
Lowercase Letter
ValueCountFrequency (%)
e 164
12.3%
i 122
 
9.2%
s 119
 
8.9%
a 110
 
8.3%
r 107
 
8.0%
t 97
 
7.3%
n 96
 
7.2%
o 87
 
6.5%
c 57
 
4.3%
l 54
 
4.1%
Other values (16) 318
23.9%
Uppercase Letter
ValueCountFrequency (%)
A 121
 
9.8%
E 111
 
9.0%
R 96
 
7.8%
I 92
 
7.5%
O 91
 
7.4%
T 85
 
6.9%
N 69
 
5.6%
S 66
 
5.4%
C 64
 
5.2%
L 60
 
4.9%
Other values (16) 377
30.6%
Other Punctuation
ValueCountFrequency (%)
, 229
68.2%
？ 26
 
7.7%
. 23
 
6.8%
: 16
 
4.8%
! 13
 
3.9%
? 10
 
3.0%
; 6
 
1.8%
& 5
 
1.5%
% 3
 
0.9%
＇ 2
 
0.6%
Other values (2) 3
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 344
26.4%
0 290
22.3%
2 282
21.7%
3 87
 
6.7%
9 65
 
5.0%
5 63
 
4.8%
4 59
 
4.5%
6 45
 
3.5%
7 36
 
2.8%
8 31
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 126
98.4%
] 2
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 126
98.4%
[ 2
 
1.6%
Math Symbol
ValueCountFrequency (%)
+ 10
83.3%
~ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
5751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27299
72.5%
Common 7713
 
20.5%
Latin 2564
 
6.8%
Han 55
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1069
 
3.9%
술 940
 
3.4%
미 867
 
3.2%
이 593
 
2.2%
사 580
 
2.1%
화 488
 
1.8%
한 467
 
1.7%
기 419
 
1.5%
다 392
 
1.4%
가 390
 
1.4%
Other values (835) 21094
77.3%
Latin
ValueCountFrequency (%)
e 164
 
6.4%
i 122
 
4.8%
A 121
 
4.7%
s 119
 
4.6%
E 111
 
4.3%
a 110
 
4.3%
r 107
 
4.2%
t 97
 
3.8%
R 96
 
3.7%
n 96
 
3.7%
Other values (43) 1421
55.4%
Common
ValueCountFrequency (%)
5751
74.6%
1 344
 
4.5%
0 290
 
3.8%
2 282
 
3.7%
, 229
 
3.0%
) 126
 
1.6%
( 126
 
1.6%
3 87
 
1.1%
9 65
 
0.8%
5 63
 
0.8%
Other values (22) 350
 
4.5%
Han
ValueCountFrequency (%)
國 9
16.4%
韓 8
 
14.5%
史 4
 
7.3%
美 3
 
5.5%
畵 3
 
5.5%
究 2
 
3.6%
聞 2
 
3.6%
新 2
 
3.6%
中 1
 
1.8%
風 1
 
1.8%
Other values (20) 20
36.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27297
72.5%
ASCII 10242
 
27.2%
CJK 55
 
0.1%
None 34
 
0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5751
56.2%
1 344
 
3.4%
0 290
 
2.8%
2 282
 
2.8%
, 229
 
2.2%
e 164
 
1.6%
) 126
 
1.2%
( 126
 
1.2%
i 122
 
1.2%
A 121
 
1.2%
Other values (70) 2687
26.2%
Hangul
ValueCountFrequency (%)
의 1069
 
3.9%
술 940
 
3.4%
미 867
 
3.2%
이 593
 
2.2%
사 580
 
2.1%
화 488
 
1.8%
한 467
 
1.7%
기 419
 
1.5%
다 392
 
1.4%
가 390
 
1.4%
Other values (834) 21092
77.3%
None
ValueCountFrequency (%)
？ 26
76.5%
´ 4
 
11.8%
＇ 2
 
5.9%
· 2
 
5.9%
CJK
ValueCountFrequency (%)
國 9
16.4%
韓 8
 
14.5%
史 4
 
7.3%
美 3
 
5.5%
畵 3
 
5.5%
究 2
 
3.6%
聞 2
 
3.6%
新 2
 
3.6%
中 1
 
1.8%
風 1
 
1.8%
Other values (20) 20
36.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

청구기호
Text

Distinct3123
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
2024-03-14T12:03:15.770531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.5536517
Min length3

Characters and Unicode

Total characters30451
Distinct characters388
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2811 ?
Unique (%)79.0%

Sample

1st row609/도44ㅅ
2nd row608/현23;6
3rd row608/현23;7
4th row660/코887ㅎ
5th row601/이54ㅁ;1
ValueCountFrequency (%)
800/식13 27
 
0.8%
ㄱ 11
 
0.3%
800/유95ㄴ 8
 
0.2%
604/김86ㅅ 8
 
0.2%
602/화78ㅇ 7
 
0.2%
601/오76ㅇ 7
 
0.2%
800/베297ㅅ 7
 
0.2%
800/이66ㅇ 7
 
0.2%
640/김94ㅂ 6
 
0.2%
800/임44ㅁ 5
 
0.1%
Other values (3114) 3478
97.4%
2024-03-14T12:03:16.097565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4723
15.5%
6 4196
13.8%
/ 3548
11.7%
8 2248
 
7.4%
4 1545
 
5.1%
2 1496
 
4.9%
1 1360
 
4.5%
5 1167
 
3.8%
9 1102
 
3.6%
7 936
 
3.1%
Other values (378) 8130
26.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19390
63.7%
Other Letter 6419
 
21.1%
Other Punctuation 4200
 
13.8%
Uppercase Letter 319
 
1.0%
Math Symbol 111
 
0.4%
Space Separator 11
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 646
 
10.1%
ㅁ 384
 
6.0%
이 368
 
5.7%
ㅎ 357
 
5.6%
ㅅ 352
 
5.5%
김 327
 
5.1%
ㄱ 312
 
4.9%
ㅈ 219
 
3.4%
ㄷ 149
 
2.3%
박 145
 
2.3%
Other values (340) 3160
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 42
13.2%
T 30
 
9.4%
M 25
 
7.8%
S 24
 
7.5%
E 20
 
6.3%
K 18
 
5.6%
W 17
 
5.3%
D 16
 
5.0%
F 16
 
5.0%
P 14
 
4.4%
Other values (12) 97
30.4%
Decimal Number
ValueCountFrequency (%)
0 4723
24.4%
6 4196
21.6%
8 2248
11.6%
4 1545
 
8.0%
2 1496
 
7.7%
1 1360
 
7.0%
5 1167
 
6.0%
9 1102
 
5.7%
7 936
 
4.8%
3 617
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 3548
84.5%
; 651
 
15.5%
. 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 111
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23713
77.9%
Hangul 6419
 
21.1%
Latin 319
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 646
 
10.1%
ㅁ 384
 
6.0%
이 368
 
5.7%
ㅎ 357
 
5.6%
ㅅ 352
 
5.5%
김 327
 
5.1%
ㄱ 312
 
4.9%
ㅈ 219
 
3.4%
ㄷ 149
 
2.3%
박 145
 
2.3%
Other values (340) 3160
49.2%
Latin
ValueCountFrequency (%)
B 42
13.2%
T 30
 
9.4%
M 25
 
7.8%
S 24
 
7.5%
E 20
 
6.3%
K 18
 
5.6%
W 17
 
5.3%
D 16
 
5.0%
F 16
 
5.0%
P 14
 
4.4%
Other values (12) 97
30.4%
Common
ValueCountFrequency (%)
0 4723
19.9%
6 4196
17.7%
/ 3548
15.0%
8 2248
9.5%
4 1545
 
6.5%
2 1496
 
6.3%
1 1360
 
5.7%
5 1167
 
4.9%
9 1102
 
4.6%
7 936
 
3.9%
Other values (6) 1392
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24032
78.9%
Hangul 3364
 
11.0%
Compat Jamo 3055
 
10.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4723
19.7%
6 4196
17.5%
/ 3548
14.8%
8 2248
9.4%
4 1545
 
6.4%
2 1496
 
6.2%
1 1360
 
5.7%
5 1167
 
4.9%
9 1102
 
4.6%
7 936
 
3.9%
Other values (28) 1711
 
7.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 646
21.1%
ㅁ 384
12.6%
ㅎ 357
11.7%
ㅅ 352
11.5%
ㄱ 312
10.2%
ㅈ 219
 
7.2%
ㄷ 149
 
4.9%
ㅂ 142
 
4.6%
ㄴ 142
 
4.6%
ㅍ 92
 
3.0%
Other values (8) 260
8.5%
Hangul
ValueCountFrequency (%)
이 368
 
10.9%
김 327
 
9.7%
박 145
 
4.3%
최 111
 
3.3%
한 93
 
2.8%
정 81
 
2.4%
오 77
 
2.3%
조 58
 
1.7%
시 58
 
1.7%
윤 58
 
1.7%
Other values (322) 1988
59.1%

부출서명
Text

MISSING 

Distinct1008
Distinct (%)74.5%
Missing2207
Missing (%)62.0%
Memory size27.9 KiB
2024-03-14T12:03:16.413904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length41
Mean length13.217295
Min length1

Characters and Unicode

Total characters17883
Distinct characters763
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique939 ?
Unique (%)69.4%

Sample

1st row모던의 유혹, 탐색의 시대
2nd row신화와 낭만의 시대
3rd row새로운 아름다움이 세상을 지배한다
4th row이상주의 다시 보기
5th row들라쿠르아에서 칸딘스키까지, 위대한 화가들이 이룩한 색채에 대한 독창적인 이론과 실기
ValueCountFrequency (%)
화가 30
 
0.7%
이야기 29
 
0.7%
타센 26
 
0.6%
미술총서 26
 
0.6%
미술 25
 
0.6%
그림 20
 
0.5%
예술 18
 
0.4%
위대한 18
 
0.4%
미술평론집 17
 
0.4%
에세이 16
 
0.4%
Other values (2589) 3870
94.5%
2024-03-14T12:03:16.886138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4041
 
22.6%
의 512
 
2.9%
술 345
 
1.9%
미 329
 
1.8%
이 245
 
1.4%
한 237
 
1.3%
대 211
 
1.2%
는 209
 
1.2%
가 206
 
1.2%
화 204
 
1.1%
Other values (753) 11344
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12541
70.1%
Space Separator 4041
 
22.6%
Decimal Number 445
 
2.5%
Lowercase Letter 430
 
2.4%
Uppercase Letter 219
 
1.2%
Other Punctuation 181
 
1.0%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 512
 
4.1%
술 345
 
2.8%
미 329
 
2.6%
이 245
 
2.0%
한 237
 
1.9%
대 211
 
1.7%
는 209
 
1.7%
가 206
 
1.6%
화 204
 
1.6%
서 193
 
1.5%
Other values (682) 9850
78.5%
Uppercase Letter
ValueCountFrequency (%)
S 23
 
10.5%
A 18
 
8.2%
E 15
 
6.8%
O 13
 
5.9%
I 13
 
5.9%
C 13
 
5.9%
T 13
 
5.9%
D 11
 
5.0%
N 10
 
4.6%
P 10
 
4.6%
Other values (14) 80
36.5%
Lowercase Letter
ValueCountFrequency (%)
e 54
12.6%
o 49
11.4%
i 47
10.9%
n 47
10.9%
t 37
8.6%
r 30
 
7.0%
s 24
 
5.6%
h 23
 
5.3%
g 19
 
4.4%
d 18
 
4.2%
Other values (13) 82
19.1%
Decimal Number
ValueCountFrequency (%)
0 135
30.3%
1 94
21.1%
2 67
15.1%
9 35
 
7.9%
3 31
 
7.0%
5 31
 
7.0%
4 21
 
4.7%
8 13
 
2.9%
6 10
 
2.2%
7 8
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 119
65.7%
. 24
 
13.3%
! 11
 
6.1%
？ 9
 
5.0%
＇ 8
 
4.4%
: 6
 
3.3%
? 3
 
1.7%
& 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
4041
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12530
70.1%
Common 4693
 
26.2%
Latin 647
 
3.6%
Han 11
 
0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 512
 
4.1%
술 345
 
2.8%
미 329
 
2.6%
이 245
 
2.0%
한 237
 
1.9%
대 211
 
1.7%
는 209
 
1.7%
가 206
 
1.6%
화 204
 
1.6%
서 193
 
1.5%
Other values (671) 9839
78.5%
Latin
ValueCountFrequency (%)
e 54
 
8.3%
o 49
 
7.6%
i 47
 
7.3%
n 47
 
7.3%
t 37
 
5.7%
r 30
 
4.6%
s 24
 
3.7%
h 23
 
3.6%
S 23
 
3.6%
g 19
 
2.9%
Other values (35) 294
45.4%
Common
ValueCountFrequency (%)
4041
86.1%
0 135
 
2.9%
, 119
 
2.5%
1 94
 
2.0%
2 67
 
1.4%
9 35
 
0.7%
3 31
 
0.7%
5 31
 
0.7%
. 24
 
0.5%
4 21
 
0.4%
Other values (14) 95
 
2.0%
Han
ValueCountFrequency (%)
展 1
9.1%
亂 1
9.1%
世 1
9.1%
集 1
9.1%
視 1
9.1%
謀 1
9.1%
民 1
9.1%
濟 1
9.1%
常 1
9.1%
班 1
9.1%
Greek
ValueCountFrequency (%)
Α 1
50.0%
Ω 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12529
70.1%
ASCII 5323
29.8%
None 19
 
0.1%
CJK 10
 
0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4041
75.9%
0 135
 
2.5%
, 119
 
2.2%
1 94
 
1.8%
2 67
 
1.3%
e 54
 
1.0%
o 49
 
0.9%
i 47
 
0.9%
n 47
 
0.9%
t 37
 
0.7%
Other values (57) 633
 
11.9%
Hangul
ValueCountFrequency (%)
의 512
 
4.1%
술 345
 
2.8%
미 329
 
2.6%
이 245
 
2.0%
한 237
 
1.9%
대 211
 
1.7%
는 209
 
1.7%
가 206
 
1.6%
화 204
 
1.6%
서 193
 
1.5%
Other values (670) 9838
78.5%
None
ValueCountFrequency (%)
？ 9
47.4%
＇ 8
42.1%
Α 1
 
5.3%
Ω 1
 
5.3%
CJK
ValueCountFrequency (%)
展 1
10.0%
世 1
10.0%
集 1
10.0%
視 1
10.0%
謀 1
10.0%
民 1
10.0%
濟 1
10.0%
常 1
10.0%
班 1
10.0%
議 1
10.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
亂 1
100.0%

총서명
Text

MISSING 

Distinct69
Distinct (%)39.9%
Missing3387
Missing (%)95.1%
Memory size27.9 KiB
2024-03-14T12:03:17.065405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length11.202312
Min length4

Characters and Unicode

Total characters1938
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)29.5%

Sample

1st row현대미술운동총서
2nd row현대미술운동총서
3rd row재원미술작가론
4th row한국의 미술가
5th row현대미술사학회집
ValueCountFrequency (%)
총서 41
 
9.9%
시공디스커버리 37
 
8.9%
김선태 14
 
3.4%
미술평론집 14
 
3.4%
열화당 12
 
2.9%
big 11
 
2.7%
container 11
 
2.7%
동시와 9
 
2.2%
함께 9
 
2.2%
보는 9
 
2.2%
Other values (147) 248
59.8%
2024-03-14T12:03:17.356889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
12.5%
술 84
 
4.3%
서 77
 
4.0%
미 59
 
3.0%
시 57
 
2.9%
총 46
 
2.4%
리 43
 
2.2%
디 40
 
2.1%
스 40
 
2.1%
공 39
 
2.0%
Other values (197) 1211
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1444
74.5%
Space Separator 242
 
12.5%
Lowercase Letter 109
 
5.6%
Uppercase Letter 61
 
3.1%
Decimal Number 59
 
3.0%
Other Punctuation 12
 
0.6%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
술 84
 
5.8%
서 77
 
5.3%
미 59
 
4.1%
시 57
 
3.9%
총 46
 
3.2%
리 43
 
3.0%
디 40
 
2.8%
스 40
 
2.8%
공 39
 
2.7%
커 38
 
2.6%
Other values (161) 921
63.8%
Uppercase Letter
ValueCountFrequency (%)
B 13
21.3%
I 12
19.7%
G 12
19.7%
A 6
9.8%
R 4
 
6.6%
T 3
 
4.9%
E 3
 
4.9%
S 2
 
3.3%
K 2
 
3.3%
O 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
n 22
20.2%
o 15
13.8%
r 13
11.9%
t 13
11.9%
i 11
10.1%
c 11
10.1%
e 11
10.1%
a 11
10.1%
k 2
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 14
23.7%
0 11
18.6%
1 11
18.6%
5 6
10.2%
3 5
 
8.5%
6 5
 
8.5%
4 4
 
6.8%
7 2
 
3.4%
8 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 10
83.3%
! 1
 
8.3%
: 1
 
8.3%
Space Separator
ValueCountFrequency (%)
242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1444
74.5%
Common 324
 
16.7%
Latin 170
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
술 84
 
5.8%
서 77
 
5.3%
미 59
 
4.1%
시 57
 
3.9%
총 46
 
3.2%
리 43
 
3.0%
디 40
 
2.8%
스 40
 
2.8%
공 39
 
2.7%
커 38
 
2.6%
Other values (161) 921
63.8%
Latin
ValueCountFrequency (%)
n 22
12.9%
o 15
8.8%
r 13
 
7.6%
t 13
 
7.6%
B 13
 
7.6%
I 12
 
7.1%
G 12
 
7.1%
i 11
 
6.5%
c 11
 
6.5%
e 11
 
6.5%
Other values (10) 37
21.8%
Common
ValueCountFrequency (%)
242
74.7%
2 14
 
4.3%
0 11
 
3.4%
1 11
 
3.4%
. 10
 
3.1%
5 6
 
1.9%
3 5
 
1.5%
6 5
 
1.5%
( 5
 
1.5%
) 5
 
1.5%
Other values (6) 10
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1444
74.5%
ASCII 494
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
49.0%
n 22
 
4.5%
o 15
 
3.0%
2 14
 
2.8%
r 13
 
2.6%
t 13
 
2.6%
B 13
 
2.6%
I 12
 
2.4%
G 12
 
2.4%
0 11
 
2.2%
Other values (26) 127
25.7%
Hangul
ValueCountFrequency (%)
술 84
 
5.8%
서 77
 
5.3%
미 59
 
4.1%
시 57
 
3.9%
총 46
 
3.2%
리 43
 
3.0%
디 40
 
2.8%
스 40
 
2.8%
공 39
 
2.7%
커 38
 
2.6%
Other values (161) 921
63.8%

저자명
Text

MISSING 

Distinct2191
Distinct (%)66.7%
Missing274
Missing (%)7.7%
Memory size27.9 KiB
2024-03-14T12:03:17.625183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length52
Mean length6.4555691
Min length1

Characters and Unicode

Total characters21213
Distinct characters687
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1763 ?
Unique (%)53.7%

Sample

1st row도병훈
2nd row데이비드 매카시;조은영
3rd row빌린다 톰슨;신방흔
4th row실럿 코튼;권영진
5th row이성희
ValueCountFrequency (%)
지음 81
 
1.6%
외 79
 
1.6%
옮김 39
 
0.8%
유홍준 34
 
0.7%
이두호 33
 
0.7%
이주헌 32
 
0.6%
진중권 21
 
0.4%
윤범모 18
 
0.4%
오광수 18
 
0.4%
김선태 18
 
0.4%
Other values (3022) 4703
92.7%
2024-03-14T12:03:18.072760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1882
 
8.9%
이 744
 
3.5%
김 495
 
2.3%
; 388
 
1.8%
스 376
 
1.8%
리 303
 
1.4%
, 251
 
1.2%
정 246
 
1.2%
르 223
 
1.1%
지 222
 
1.0%
Other values (677) 16083
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16376
77.2%
Space Separator 1882
 
8.9%
Lowercase Letter 1440
 
6.8%
Other Punctuation 818
 
3.9%
Uppercase Letter 618
 
2.9%
Decimal Number 52
 
0.2%
Dash Punctuation 16
 
0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 744
 
4.5%
김 495
 
3.0%
스 376
 
2.3%
리 303
 
1.9%
정 246
 
1.5%
르 223
 
1.4%
지 222
 
1.4%
미 222
 
1.4%
영 219
 
1.3%
박 208
 
1.3%
Other values (607) 13118
80.1%
Lowercase Letter
ValueCountFrequency (%)
e 207
14.4%
a 152
10.6%
r 147
10.2%
n 127
8.8%
i 109
 
7.6%
l 97
 
6.7%
s 83
 
5.8%
o 81
 
5.6%
t 80
 
5.6%
h 66
 
4.6%
Other values (16) 291
20.2%
Uppercase Letter
ValueCountFrequency (%)
R 49
 
7.9%
A 47
 
7.6%
E 42
 
6.8%
M 40
 
6.5%
N 38
 
6.1%
H 37
 
6.0%
S 33
 
5.3%
T 31
 
5.0%
B 30
 
4.9%
G 28
 
4.5%
Other values (14) 243
39.3%
Decimal Number
ValueCountFrequency (%)
9 9
17.3%
4 8
15.4%
3 7
13.5%
2 7
13.5%
1 6
11.5%
0 5
9.6%
8 4
7.7%
6 2
 
3.8%
5 2
 
3.8%
7 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
; 388
47.4%
, 251
30.7%
/ 92
 
11.2%
. 83
 
10.1%
& 3
 
0.4%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16376
77.2%
Common 2779
 
13.1%
Latin 2058
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 744
 
4.5%
김 495
 
3.0%
스 376
 
2.3%
리 303
 
1.9%
정 246
 
1.5%
르 223
 
1.4%
지 222
 
1.4%
미 222
 
1.4%
영 219
 
1.3%
박 208
 
1.3%
Other values (607) 13118
80.1%
Latin
ValueCountFrequency (%)
e 207
 
10.1%
a 152
 
7.4%
r 147
 
7.1%
n 127
 
6.2%
i 109
 
5.3%
l 97
 
4.7%
s 83
 
4.0%
o 81
 
3.9%
t 80
 
3.9%
h 66
 
3.2%
Other values (40) 909
44.2%
Common
ValueCountFrequency (%)
1882
67.7%
; 388
 
14.0%
, 251
 
9.0%
/ 92
 
3.3%
. 83
 
3.0%
- 16
 
0.6%
9 9
 
0.3%
4 8
 
0.3%
3 7
 
0.3%
2 7
 
0.3%
Other values (10) 36
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16375
77.2%
ASCII 4837
 
22.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1882
38.9%
; 388
 
8.0%
, 251
 
5.2%
e 207
 
4.3%
a 152
 
3.1%
r 147
 
3.0%
n 127
 
2.6%
i 109
 
2.3%
l 97
 
2.0%
/ 92
 
1.9%
Other values (60) 1385
28.6%
Hangul
ValueCountFrequency (%)
이 744
 
4.5%
김 495
 
3.0%
스 376
 
2.3%
리 303
 
1.9%
정 246
 
1.5%
르 223
 
1.4%
지 222
 
1.4%
미 222
 
1.4%
영 219
 
1.3%
박 208
 
1.3%
Other values (606) 13117
80.1%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%

출판사
Text

MISSING 

Distinct823
Distinct (%)25.1%
Missing280
Missing (%)7.9%
Memory size27.9 KiB
2024-03-14T12:03:18.297753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length4.3314024
Min length1

Characters and Unicode

Total characters14207
Distinct characters485
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)15.3%

Sample

1st row두리미디어
2nd row열화당
3rd row열화당
4th row시공사
5th row컬쳐라인
ValueCountFrequency (%)
아트북스 121
 
3.4%
시공사 108
 
3.0%
미진사 103
 
2.9%
taschen 102
 
2.9%
열화당 101
 
2.8%
마로니에북스 86
 
2.4%
학고재 82
 
2.3%
예경 75
 
2.1%
눈빛 61
 
1.7%
한길아트 46
 
1.3%
Other values (877) 2688
75.2%
2024-03-14T12:03:18.644990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 679
 
4.8%
스 585
 
4.1%
북 407
 
2.9%
아 343
 
2.4%
트 320
 
2.3%
293
 
2.1%
문 280
 
2.0%
미 274
 
1.9%
학 234
 
1.6%
화 228
 
1.6%
Other values (475) 10564
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12282
86.5%
Uppercase Letter 977
 
6.9%
Lowercase Letter 408
 
2.9%
Space Separator 293
 
2.1%
Decimal Number 96
 
0.7%
Close Punctuation 60
 
0.4%
Open Punctuation 60
 
0.4%
Other Punctuation 29
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 679
 
5.5%
스 585
 
4.8%
북 407
 
3.3%
아 343
 
2.8%
트 320
 
2.6%
문 280
 
2.3%
미 274
 
2.2%
학 234
 
1.9%
화 228
 
1.9%
판 216
 
1.8%
Other values (406) 8716
71.0%
Lowercase Letter
ValueCountFrequency (%)
e 42
10.3%
n 38
 
9.3%
t 36
 
8.8%
o 31
 
7.6%
r 31
 
7.6%
i 29
 
7.1%
a 28
 
6.9%
s 27
 
6.6%
u 26
 
6.4%
l 22
 
5.4%
Other values (15) 98
24.0%
Uppercase Letter
ValueCountFrequency (%)
C 129
13.2%
A 128
13.1%
S 122
12.5%
E 116
11.9%
N 114
11.7%
T 108
11.1%
H 103
10.5%
I 26
 
2.7%
O 19
 
1.9%
M 18
 
1.8%
Other values (14) 94
9.6%
Decimal Number
ValueCountFrequency (%)
1 35
36.5%
2 35
36.5%
0 14
 
14.6%
6 5
 
5.2%
9 2
 
2.1%
4 2
 
2.1%
3 2
 
2.1%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 7
24.1%
＇ 7
24.1%
& 6
20.7%
, 4
13.8%
. 3
10.3%
; 2
 
6.9%
Close Punctuation
ValueCountFrequency (%)
) 56
93.3%
] 4
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 56
93.3%
[ 4
 
6.7%
Space Separator
ValueCountFrequency (%)
293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12282
86.5%
Latin 1385
 
9.7%
Common 540
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 679
 
5.5%
스 585
 
4.8%
북 407
 
3.3%
아 343
 
2.8%
트 320
 
2.6%
문 280
 
2.3%
미 274
 
2.2%
학 234
 
1.9%
화 228
 
1.9%
판 216
 
1.8%
Other values (406) 8716
71.0%
Latin
ValueCountFrequency (%)
C 129
 
9.3%
A 128
 
9.2%
S 122
 
8.8%
E 116
 
8.4%
N 114
 
8.2%
T 108
 
7.8%
H 103
 
7.4%
e 42
 
3.0%
n 38
 
2.7%
t 36
 
2.6%
Other values (39) 449
32.4%
Common
ValueCountFrequency (%)
293
54.3%
) 56
 
10.4%
( 56
 
10.4%
1 35
 
6.5%
2 35
 
6.5%
0 14
 
2.6%
: 7
 
1.3%
＇ 7
 
1.3%
& 6
 
1.1%
6 5
 
0.9%
Other values (10) 26
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12281
86.4%
ASCII 1918
 
13.5%
None 7
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 679
 
5.5%
스 585
 
4.8%
북 407
 
3.3%
아 343
 
2.8%
트 320
 
2.6%
문 280
 
2.3%
미 274
 
2.2%
학 234
 
1.9%
화 228
 
1.9%
판 216
 
1.8%
Other values (405) 8715
71.0%
ASCII
ValueCountFrequency (%)
293
15.3%
C 129
 
6.7%
A 128
 
6.7%
S 122
 
6.4%
E 116
 
6.0%
N 114
 
5.9%
T 108
 
5.6%
H 103
 
5.4%
) 56
 
2.9%
( 56
 
2.9%
Other values (58) 693
36.1%
None
ValueCountFrequency (%)
＇ 7
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

별치기호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
3549 
ㄱ
 
11

Length

Max length4
Median length4
Mean length3.9907303
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3549
99.7%
ㄱ 11
 
0.3%

Length

2024-03-14T12:03:18.758471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:03:18.853405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3549
99.7%
ㄱ 11
 
0.3%

분류기호
Real number (ℝ)

Distinct17
Distinct (%)0.5%
Missing9
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean644.76048
Minimum60
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.4 KiB
2024-03-14T12:03:18.967961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile600
Q1601
median608
Q3640
95-th percentile800
Maximum800
Range740
Interquartile range (IQR)39

Descriptive statistics

Standard deviation75.692143
Coefficient of variation (CV)0.11739576
Kurtosis1.3552574
Mean644.76048
Median Absolute Deviation (MAD)7
Skewness1.3364283
Sum2289544.5
Variance5729.3006
MonotonicityNot monotonic
2024-03-14T12:03:19.060012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
800.0 653
18.3%
601.0 525
14.7%
608.0 516
14.5%
600.0 482
13.5%
602.0 372
10.4%
609.0 283
7.9%
604.0 189
 
5.3%
640.0 144
 
4.0%
650.0 116
 
3.3%
660.0 95
 
2.7%
Other values (7) 176
 
4.9%
ValueCountFrequency (%)
60.0 1
 
< 0.1%
400.45 1
 
< 0.1%
600.0 482
13.5%
601.0 525
14.7%
602.0 372
10.4%
603.0 22
 
0.6%
604.0 189
 
5.3%
608.0 516
14.5%
609.0 283
7.9%
610.0 64
 
1.8%
ValueCountFrequency (%)
800.0 653
18.3%
688.0 1
 
< 0.1%
660.0 95
 
2.7%
650.0 116
 
3.3%
640.0 144
 
4.0%
630.0 59
 
1.7%
620.0 28
 
0.8%
610.0 64
 
1.8%
609.0 283
7.9%
608.0 516
14.5%

저자기호
Text

Distinct2349
Distinct (%)66.0%
Missing3
Missing (%)0.1%
Memory size27.9 KiB
2024-03-14T12:03:19.322605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0646612
Min length1

Characters and Unicode

Total characters14458
Distinct characters382
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1817 ?
Unique (%)51.1%

Sample

1st row도44ㅅ
2nd row현23
3rd row현23
4th row코887ㅎ
5th row이54ㅁ
ValueCountFrequency (%)
시15 37
 
1.0%
현23 33
 
0.9%
이26ㅇ 32
 
0.9%
식13 27
 
0.8%
이66ㅇ 22
 
0.6%
한16ㅁ 20
 
0.6%
김54ㅎ 17
 
0.5%
한16 16
 
0.4%
이76ㅇ 12
 
0.3%
근23 12
 
0.3%
Other values (2339) 3329
93.6%
2024-03-14T12:03:19.713330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1144
 
7.9%
4 1114
 
7.7%
8 1029
 
7.1%
5 981
 
6.8%
2 882
 
6.1%
7 880
 
6.1%
9 782
 
5.4%
ㅇ 646
 
4.5%
1 520
 
3.6%
3 398
 
2.8%
Other values (372) 6082
42.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7730
53.5%
Other Letter 6408
44.3%
Uppercase Letter 319
 
2.2%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 646
 
10.1%
ㅁ 384
 
6.0%
이 368
 
5.7%
ㅎ 357
 
5.6%
ㅅ 352
 
5.5%
김 327
 
5.1%
ㄱ 301
 
4.7%
ㅈ 219
 
3.4%
ㄷ 149
 
2.3%
박 145
 
2.3%
Other values (340) 3160
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 42
13.2%
T 30
 
9.4%
M 25
 
7.8%
S 24
 
7.5%
E 20
 
6.3%
K 18
 
5.6%
W 17
 
5.3%
D 16
 
5.0%
F 16
 
5.0%
H 14
 
4.4%
Other values (12) 97
30.4%
Decimal Number
ValueCountFrequency (%)
6 1144
14.8%
4 1114
14.4%
8 1029
13.3%
5 981
12.7%
2 882
11.4%
7 880
11.4%
9 782
10.1%
1 520
6.7%
3 398
 
5.1%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7731
53.5%
Hangul 6408
44.3%
Latin 319
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 646
 
10.1%
ㅁ 384
 
6.0%
이 368
 
5.7%
ㅎ 357
 
5.6%
ㅅ 352
 
5.5%
김 327
 
5.1%
ㄱ 301
 
4.7%
ㅈ 219
 
3.4%
ㄷ 149
 
2.3%
박 145
 
2.3%
Other values (340) 3160
49.3%
Latin
ValueCountFrequency (%)
B 42
13.2%
T 30
 
9.4%
M 25
 
7.8%
S 24
 
7.5%
E 20
 
6.3%
K 18
 
5.6%
W 17
 
5.3%
D 16
 
5.0%
F 16
 
5.0%
H 14
 
4.4%
Other values (12) 97
30.4%
Common
ValueCountFrequency (%)
6 1144
14.8%
4 1114
14.4%
8 1029
13.3%
5 981
12.7%
2 882
11.4%
7 880
11.4%
9 782
10.1%
1 520
6.7%
3 398
 
5.1%
( 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8050
55.7%
Hangul 3364
23.3%
Compat Jamo 3044
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1144
14.2%
4 1114
13.8%
8 1029
12.8%
5 981
12.2%
2 882
11.0%
7 880
10.9%
9 782
9.7%
1 520
6.5%
3 398
 
4.9%
B 42
 
0.5%
Other values (22) 278
 
3.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 646
21.2%
ㅁ 384
12.6%
ㅎ 357
11.7%
ㅅ 352
11.6%
ㄱ 301
9.9%
ㅈ 219
 
7.2%
ㄷ 149
 
4.9%
ㄴ 142
 
4.7%
ㅂ 142
 
4.7%
ㅍ 92
 
3.0%
Other values (8) 260
8.5%
Hangul
ValueCountFrequency (%)
이 368
 
10.9%
김 327
 
9.7%
박 145
 
4.3%
최 111
 
3.3%
한 93
 
2.8%
정 81
 
2.4%
오 77
 
2.3%
시 58
 
1.7%
조 58
 
1.7%
윤 58
 
1.7%
Other values (322) 1988
59.1%

권차
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)13.5%
Missing2909
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean13.506912
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.4 KiB
2024-03-14T12:03:19.852112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q318
95-th percentile55.5
Maximum109
Range108
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.06419
Coefficient of variation (CV)1.3374033
Kurtosis4.9246052
Mean13.506912
Median Absolute Deviation (MAD)4
Skewness2.1993786
Sum8793
Variance326.31495
MonotonicityNot monotonic
2024-03-14T12:03:19.968351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 95
 
2.7%
2 95
 
2.7%
3 58
 
1.6%
4 43
 
1.2%
5 33
 
0.9%
6 27
 
0.8%
7 21
 
0.6%
8 20
 
0.6%
9 18
 
0.5%
10 16
 
0.4%
Other values (78) 225
 
6.3%
(Missing) 2909
81.7%
ValueCountFrequency (%)
1 95
2.7%
2 95
2.7%
3 58
1.6%
4 43
1.2%
5 33
 
0.9%
6 27
 
0.8%
7 21
 
0.6%
8 20
 
0.6%
9 18
 
0.5%
10 16
 
0.4%
ValueCountFrequency (%)
109 1
< 0.1%
87 1
< 0.1%
86 1
< 0.1%
85 1
< 0.1%
84 1
< 0.1%
83 1
< 0.1%
82 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%
79 1
< 0.1%

복본
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)9.9%
Missing3449
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean2.6486486
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.4 KiB
2024-03-14T12:03:20.100726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum11
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9847081
Coefficient of variation (CV)0.74932858
Kurtosis4.4052534
Mean2.6486486
Median Absolute Deviation (MAD)1
Skewness1.9639844
Sum294
Variance3.9390663
MonotonicityNot monotonic
2024-03-14T12:03:20.227526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 35
 
1.0%
2 33
 
0.9%
3 20
 
0.6%
4 9
 
0.3%
5 4
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 3449
96.9%
ValueCountFrequency (%)
1 35
1.0%
2 33
0.9%
3 20
0.6%
4 9
 
0.3%
5 4
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 3
 
0.1%
6 3
 
0.1%
5 4
 
0.1%
4 9
 
0.3%
3 20
0.6%
2 33
0.9%

주제어
Text

MISSING 

Distinct78
Distinct (%)4.6%
Missing1882
Missing (%)52.9%
Memory size27.9 KiB
2024-03-14T12:03:20.410541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length7.3879619
Min length2

Characters and Unicode

Total characters12397
Distinct characters69
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)2.2%

Sample

1st row미술재료 및 기법
2nd row미술재료 및 기법
3rd row미술의 주제
4th row미술의 주제
5th row미술의 주제
ValueCountFrequency (%)
및 389
11.3%
총서 384
11.2%
미술전집 376
11.0%
기법 372
 
10.8%
미술재료 316
 
9.2%
주제 189
 
5.5%
서예 125
 
3.6%
도서 116
 
3.4%
미학 114
 
3.3%
미술의 111
 
3.2%
Other values (80) 938
27.3%
2024-03-14T12:03:20.721907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1761
14.2%
술 1492
 
12.0%
미 1447
 
11.7%
, 762
 
6.1%
서 651
 
5.3%
기 400
 
3.2%
및 389
 
3.1%
법 389
 
3.1%
총 387
 
3.1%
전 387
 
3.1%
Other values (59) 4332
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9568
77.2%
Space Separator 1761
 
14.2%
Other Punctuation 1068
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
술 1492
15.6%
미 1447
15.1%
서 651
 
6.8%
기 400
 
4.2%
및 389
 
4.1%
법 389
 
4.1%
총 387
 
4.0%
전 387
 
4.0%
재 387
 
4.0%
료 387
 
4.0%
Other values (56) 3252
34.0%
Other Punctuation
ValueCountFrequency (%)
, 762
71.3%
; 306
28.7%
Space Separator
ValueCountFrequency (%)
1761
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9568
77.2%
Common 2829
 
22.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
술 1492
15.6%
미 1447
15.1%
서 651
 
6.8%
기 400
 
4.2%
및 389
 
4.1%
법 389
 
4.1%
총 387
 
4.0%
전 387
 
4.0%
재 387
 
4.0%
료 387
 
4.0%
Other values (56) 3252
34.0%
Common
ValueCountFrequency (%)
1761
62.2%
, 762
26.9%
; 306
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9568
77.2%
ASCII 2829
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1761
62.2%
, 762
26.9%
; 306
 
10.8%
Hangul
ValueCountFrequency (%)
술 1492
15.6%
미 1447
15.1%
서 651
 
6.8%
기 400
 
4.2%
및 389
 
4.1%
법 389
 
4.1%
총 387
 
4.0%
전 387
 
4.0%
재 387
 
4.0%
료 387
 
4.0%
Other values (56) 3252
34.0%

원서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

원저자명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

배가위치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

이용대상자
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
2809 
일반 이용자
751 

Length

Max length6
Median length4
Mean length4.4219101
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2809
78.9%
일반 이용자 751
 
21.1%

Length

2024-03-14T12:03:20.838371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:03:20.919932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2809
65.2%
일반 751
 
17.4%
이용자 751
 
17.4%

자료유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

출판년도
Real number (ℝ)

MISSING  SKEWED 

Distinct43
Distinct (%)1.9%
Missing1325
Missing (%)37.2%
Infinite0
Infinite (%)0.0%
Mean2006.4711
Minimum1932
Maximum6200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.4 KiB
2024-03-14T12:03:21.011676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1932
5-th percentile1993
Q12002
median2006
Q32009
95-th percentile2013
Maximum6200
Range4268
Interquartile range (IQR)7

Descriptive statistics

Standard deviation88.990617
Coefficient of variation (CV)0.044351805
Kurtosis2210.2182
Mean2006.4711
Median Absolute Deviation (MAD)3
Skewness46.881517
Sum4484463
Variance7919.3299
MonotonicityNot monotonic
2024-03-14T12:03:21.127361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2008 264
 
7.4%
2006 198
 
5.6%
2009 174
 
4.9%
2002 150
 
4.2%
2005 144
 
4.0%
2007 125
 
3.5%
2003 123
 
3.5%
2012 108
 
3.0%
2004 102
 
2.9%
2010 91
 
2.6%
Other values (33) 756
21.2%
(Missing) 1325
37.2%
ValueCountFrequency (%)
1932 1
 
< 0.1%
1955 1
 
< 0.1%
1966 2
 
0.1%
1975 1
 
< 0.1%
1977 1
 
< 0.1%
1978 2
 
0.1%
1979 3
 
0.1%
1980 2
 
0.1%
1983 5
0.1%
1984 8
0.2%
ValueCountFrequency (%)
6200 1
 
< 0.1%
2016 1
 
< 0.1%
2015 54
 
1.5%
2014 47
 
1.3%
2013 79
 
2.2%
2012 108
3.0%
2011 28
 
0.8%
2010 91
 
2.6%
2009 174
4.9%
2008 264
7.4%

저작년도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

판차
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
3559 
2008
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3559
> 99.9%
2008 1
 
< 0.1%

Length

2024-03-14T12:03:21.223565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:03:21.322458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3559
> 99.9%
2008 1
 
< 0.1%

페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

삽도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

크기
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

딸림자료
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

가격
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

가격의성격
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
2809 
구입
731 
기증
 
20

Length

Max length4
Median length4
Mean length3.5780899
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2809
78.9%
구입 731
 
20.5%
기증 20
 
0.6%

Length

2024-03-14T12:03:21.418325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:03:21.505477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2809
78.9%
구입 731
 
20.5%
기증 20
 
0.6%

기증자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

구입일자
Categorical

Distinct48
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
1174 
2005-12-21
318 
2016-07-13
229 
2016-02-05
185 
2016-06-15
167 
Other values (43)
1487 

Length

Max length10
Median length10
Mean length8.0213483
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row2007-08-30
2nd row2007-08-30
3rd row2007-08-30
4th row2007-08-30
5th row2007-08-30

Common Values

ValueCountFrequency (%)
<NA> 1174
33.0%
2005-12-21 318
 
8.9%
2016-07-13 229
 
6.4%
2016-02-05 185
 
5.2%
2016-06-15 167
 
4.7%
2006-12-20 157
 
4.4%
2016-07-12 142
 
4.0%
2004-12-24 132
 
3.7%
2007-08-30 118
 
3.3%
2016-02-04 111
 
3.1%
Other values (38) 827
23.2%

Length

2024-03-14T12:03:21.590784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1174
33.0%
2005-12-21 318
 
8.9%
2016-07-13 229
 
6.4%
2016-02-05 185
 
5.2%
2016-06-15 167
 
4.7%
2006-12-20 157
 
4.4%
2016-07-12 142
 
4.0%
2004-12-24 132
 
3.7%
2007-08-30 118
 
3.3%
2016-02-04 111
 
3.1%
Other values (38) 827
23.2%

대출가능일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3560
Missing (%)100.0%
Memory size31.4 KiB

대출횟수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
0
3560 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3560
100.0%

Length

2024-03-14T12:03:21.691167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:03:21.794664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3560
100.0%

Sample

등록번호isbn도서명청구기호부출서명총서명저자명출판사별치기호분류기호저자기호권차복본주제어원서명원저자명배가위치이용대상자자료유형출판년도저작년도판차페이지삽도크기딸림자료가격가격의성격기증자구입일자대출가능일대출횟수
018977151570(청소년을 위한) 서양미술사609/도44ㅅ<NA><NA>도병훈두리미디어<NA>609.0도44ㅅ<NA><NA><NA><NA><NA><NA><NA><NA>2002<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
178930100651팝 아트608/현23;6<NA>현대미술운동총서데이비드 매카시;조은영열화당<NA>608.0현236<NA><NA><NA><NA><NA><NA><NA>2003<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
28893010066X후기인상주의608/현23;7<NA>현대미술운동총서빌린다 톰슨;신방흔열화당<NA>608.0현237<NA><NA><NA><NA><NA><NA><NA>2003<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
3168952749197현대예술로서의 사진660/코887ㅎ<NA><NA>실럿 코튼;권영진시공사<NA>660.0코887ㅎ<NA><NA><NA><NA><NA><NA><NA><NA>2007<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
4178950970430미술관에서 릴케를 만나다1601/이54ㅁ;1<NA><NA>이성희컬쳐라인<NA>601.0이54ㅁ1<NA><NA><NA><NA><NA><NA><NA>2003<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
5188950970449미술관에서 릴케를 만나다2601/이54ㅁ;2<NA><NA>이성희컬쳐라인<NA>601.0이54ㅁ2<NA><NA><NA><NA><NA><NA><NA>2003<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
6198986049287(앵포르멜에서 단색회화까지) 박서보602/서54ㅂ;8<NA>재원미술작가론서성록도서출판 재원<NA>602.0서54ㅂ8<NA>미술재료 및 기법<NA><NA><NA><NA><NA>2000<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
720<NA>혼불-하인두의 삶과 예술602/류38ㅎ<NA>한국의 미술가류민자가나아트<NA>602.0류38ㅎ<NA><NA>미술재료 및 기법<NA><NA><NA><NA><NA>1999<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
8218995382902한국 현대미술, 오늘의 얼굴601/김75ㅎ;1<NA><NA>김종근이트블루<NA>601.0김75ㅎ1<NA><NA><NA><NA><NA><NA><NA>2003<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
9228986049562(우리 현대미술의 정체성과 논리) 상처에의 탐닉601/강54ㅅ<NA><NA>강선학도서출판 재원<NA>601.0강54ㅅ<NA><NA><NA><NA><NA><NA><NA><NA>2000<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-08-30<NA>0
등록번호isbn도서명청구기호부출서명총서명저자명출판사별치기호분류기호저자기호권차복본주제어원서명원저자명배가위치이용대상자자료유형출판년도저작년도판차페이지삽도크기딸림자료가격가격의성격기증자구입일자대출가능일대출횟수
35503905<NA>저널리스트가 본 황용엽의 인간풍경602/정76ㅈ<NA><NA>정중헌나무와 숲<NA>602.0정76ㅈ<NA><NA>미술재료 및 기법<NA><NA><NA>일반 이용자<NA><NA><NA><NA><NA><NA><NA><NA><NA>구입<NA>2016-10-20<NA>0
35513906<NA>이미지와 권력600/권93ㅇ고종의 초상과 이미지의 정치학<NA>권행가돌베개<NA>600.0권93ㅇ<NA><NA>예술<NA><NA><NA>일반 이용자<NA><NA><NA><NA><NA><NA><NA><NA><NA>구입<NA>2016-10-20<NA>0
35523907<NA>당신의 오늘은 무슨색 입니까?600/안78ㄷ꽃 그리는 화가의 색깔 있는 이야기<NA>안진의홍익출판사<NA>600.0안78ㄷ<NA><NA>예술<NA><NA><NA><NA><NA>2002<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-10-20<NA>0
35533908<NA>고화정담601/탁94ㄱ간송미술관의 다정한 그림<NA>탁현규디자인북스<NA>601.0탁94ㄱ<NA><NA>미술이론, 미학<NA><NA><NA>일반 이용자<NA><NA><NA><NA><NA><NA><NA><NA><NA>구입<NA>2016-10-20<NA>0
35543909<NA>한국의 민화1608/이64ㅎ;1<NA><NA>이영수한국학자료원<NA>608.0이64ㅎ1<NA>미술전집, 총서<NA><NA><NA><NA><NA>2013<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-12-29<NA>0
35553910<NA>한국의 민화2608/이64ㅎ;2<NA><NA>이영수한국학자료원<NA>608.0이64ㅎ2<NA>미술전집, 총서<NA><NA><NA><NA><NA>2013<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-12-29<NA>0
35563911<NA>한국의 민화3608/이64ㅎ;3<NA><NA>이영수한국학자료원<NA>608.0이64ㅎ3<NA>미술전집, 총서<NA><NA><NA><NA><NA>2015<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-12-29<NA>0
35573912<NA>한국의 민화4608/이64ㅎ;4<NA><NA>이영수한국학자료원<NA>608.0이64ㅎ4<NA>미술전집, 총서<NA><NA><NA><NA><NA>2015<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-12-29<NA>0
35583913<NA>한국의 민화5608/이64ㅎ;5<NA><NA>이영수한국학자료원<NA>608.0이64ㅎ5<NA>미술전집, 총서<NA><NA><NA><NA><NA>2015<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-12-29<NA>0
35593914<NA>한국의 민화6608/이64ㅎ;6<NA><NA>이영수한국학자료원<NA>608.0이64ㅎ6<NA>미술전집, 총서<NA><NA><NA><NA><NA>2015<NA><NA><NA><NA><NA><NA><NA><NA><NA>2016-12-29<NA>0