Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells45685
Missing cells (%)13.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory286.0 B

Variable types

Numeric2
Text6
Categorical9
Boolean9
Unsupported8

Dataset

Description자료코드,자료명,자료유형코드,자료유형명,저자,출판사,신착도서여부,서평존재여부,VOD 유무,고서 유무,온라인 유무,초록 유무,목차 유무,해제 여부,URL링크 유무,청구기호,분류기호,발행년,저자기호,언어,언어명,국가코드,국가코드명,판차,페이지,국제표준도서번호,딸림정보,소장처,소장처명,등록일,자료실 코드,자료실 이름,대출상태코드,대출상태메시지
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15483/S/1/datasetView.do

Alerts

신착도서여부 has constant value ""Constant
서평존재여부 has constant value ""Constant
VOD 유무 has constant value ""Constant
고서 유무 has constant value ""Constant
온라인 유무 has constant value ""Constant
초록 유무 has constant value ""Constant
해제 여부 has constant value ""Constant
URL링크 유무 has constant value ""Constant
소장처 has constant value ""Constant
소장처명 has constant value ""Constant
자료유형코드 is highly imbalanced (55.8%)Imbalance
자료유형명 is highly imbalanced (54.4%)Imbalance
목차 유무 is highly imbalanced (89.8%)Imbalance
언어 is highly imbalanced (90.4%)Imbalance
언어명 is highly imbalanced (83.7%)Imbalance
국가코드 is highly imbalanced (76.7%)Imbalance
국가코드명 is highly imbalanced (67.5%)Imbalance
딸림정보 is highly imbalanced (71.4%)Imbalance
판차 has 5373 (53.7%) missing valuesMissing
국제표준도서번호 has 251 (2.5%) missing valuesMissing
자료실 코드 has 10000 (100.0%) missing valuesMissing
자료실 이름 has 10000 (100.0%) missing valuesMissing
대출상태코드 has 10000 (100.0%) missing valuesMissing
대출상태메시지 has 10000 (100.0%) missing valuesMissing
자료코드 has unique valuesUnique
청구기호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
분류기호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발행년 is an unsupported type, check if it needs cleaning or further analysisUnsupported
국제표준도서번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자료실 코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자료실 이름 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대출상태코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대출상태메시지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-10 23:29:53.990000
Analysis finished2024-05-10 23:30:00.338588
Duration6.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료코드
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1635870.3
Minimum1595233
Maximum1681236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:30:00.633372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1595233
5-th percentile1604256.8
Q11615484.8
median1632625
Q31651205.8
95-th percentile1679517.1
Maximum1681236
Range86003
Interquartile range (IQR)35721

Descriptive statistics

Standard deviation23136.697
Coefficient of variation (CV)0.014143357
Kurtosis-0.73998155
Mean1635870.3
Median Absolute Deviation (MAD)17805.5
Skewness0.46635893
Sum1.6358703 × 1010
Variance5.3530676 × 108
MonotonicityNot monotonic
2024-05-10T23:30:01.110937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1606574 1
 
< 0.1%
1632380 1
 
< 0.1%
1608329 1
 
< 0.1%
1642235 1
 
< 0.1%
1653852 1
 
< 0.1%
1653148 1
 
< 0.1%
1611976 1
 
< 0.1%
1643266 1
 
< 0.1%
1606606 1
 
< 0.1%
1630526 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1595233 1
< 0.1%
1595235 1
< 0.1%
1595237 1
< 0.1%
1595259 1
< 0.1%
1595301 1
< 0.1%
1595325 1
< 0.1%
1595338 1
< 0.1%
1595339 1
< 0.1%
1595343 1
< 0.1%
1595351 1
< 0.1%
ValueCountFrequency (%)
1681236 1
< 0.1%
1681234 1
< 0.1%
1681230 1
< 0.1%
1681226 1
< 0.1%
1681220 1
< 0.1%
1681219 1
< 0.1%
1681216 1
< 0.1%
1681215 1
< 0.1%
1681210 1
< 0.1%
1681209 1
< 0.1%
Distinct9724
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:30:02.054356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length195
Median length119
Mean length30.6367
Min length1

Characters and Unicode

Total characters306367
Distinct characters1951
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9454 ?
Unique (%)94.5%

Sample

1st row물을 지켜야 우리가 살아요[구독형]
2nd row너희들 무덤에 침을 뱉으마
3rd row산책자[구독형]
4th rowLiving beautifully :with uncertainty and change
5th rowCapital, Volume 2[국외전자책]
ValueCountFrequency (%)
the 1450
 
2.3%
687
 
1.1%
of 639
 
1.0%
a 583
 
0.9%
and 445
 
0.7%
위한 350
 
0.6%
이야기 298
 
0.5%
장편소설 261
 
0.4%
to 239
 
0.4%
1 209
 
0.3%
Other values (26251) 56813
91.7%
2024-05-10T23:30:03.598190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51978
 
17.0%
e 10466
 
3.4%
o 6615
 
2.2%
a 6070
 
2.0%
r 5695
 
1.9%
i 5659
 
1.8%
n 5554
 
1.8%
t 5481
 
1.8%
: 4812
 
1.6%
s 4769
 
1.6%
Other values (1941) 199268
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139310
45.5%
Lowercase Letter 75610
24.7%
Space Separator 51982
 
17.0%
Uppercase Letter 12585
 
4.1%
Other Punctuation 9638
 
3.1%
Close Punctuation 5578
 
1.8%
Open Punctuation 5577
 
1.8%
Decimal Number 4908
 
1.6%
Math Symbol 654
 
0.2%
Dash Punctuation 458
 
0.1%
Other values (6) 67
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3414
 
2.5%
3382
 
2.4%
3207
 
2.3%
2778
 
2.0%
2585
 
1.9%
2416
 
1.7%
2412
 
1.7%
2163
 
1.6%
2018
 
1.4%
1955
 
1.4%
Other values (1795) 112980
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 10466
13.8%
o 6615
 
8.7%
a 6070
 
8.0%
r 5695
 
7.5%
i 5659
 
7.5%
n 5554
 
7.3%
t 5481
 
7.2%
s 4769
 
6.3%
l 3602
 
4.8%
h 3381
 
4.5%
Other values (35) 18318
24.2%
Uppercase Letter
ValueCountFrequency (%)
T 1539
 
12.2%
S 1182
 
9.4%
A 981
 
7.8%
C 801
 
6.4%
B 785
 
6.2%
M 685
 
5.4%
D 577
 
4.6%
P 566
 
4.5%
N 553
 
4.4%
G 538
 
4.3%
Other values (19) 4378
34.8%
Other Punctuation
ValueCountFrequency (%)
: 4812
49.9%
, 1938
20.1%
. 879
 
9.1%
? 806
 
8.4%
' 462
 
4.8%
! 398
 
4.1%
& 188
 
2.0%
/ 45
 
0.5%
# 28
 
0.3%
; 22
 
0.2%
Other values (11) 60
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 1210
24.7%
1 1062
21.6%
0 891
18.2%
3 519
10.6%
4 316
 
6.4%
5 265
 
5.4%
9 186
 
3.8%
6 173
 
3.5%
8 155
 
3.2%
7 131
 
2.7%
Math Symbol
ValueCountFrequency (%)
= 538
82.3%
~ 65
 
9.9%
+ 20
 
3.1%
11
 
1.7%
< 9
 
1.4%
> 9
 
1.4%
| 1
 
0.2%
× 1
 
0.2%
Other Number
ValueCountFrequency (%)
8
30.8%
7
26.9%
4
15.4%
2
 
7.7%
2
 
7.7%
1
 
3.8%
² 1
 
3.8%
1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
[ 4336
77.7%
( 1203
 
21.6%
22
 
0.4%
14
 
0.3%
1
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
] 4336
77.7%
) 1203
 
21.6%
23
 
0.4%
14
 
0.3%
1
 
< 0.1%
1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%
Space Separator
ValueCountFrequency (%)
51978
> 99.9%
  4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 456
99.6%
2
 
0.4%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Final Punctuation
ValueCountFrequency (%)
9
100.0%
Initial Punctuation
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137638
44.9%
Latin 88160
28.8%
Common 78856
25.7%
Han 1032
 
0.3%
Hiragana 495
 
0.2%
Katakana 145
 
< 0.1%
Cyrillic 41
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3414
 
2.5%
3382
 
2.5%
3207
 
2.3%
2778
 
2.0%
2585
 
1.9%
2416
 
1.8%
2412
 
1.8%
2163
 
1.6%
2018
 
1.5%
1955
 
1.4%
Other values (1224) 111308
80.9%
Han
ValueCountFrequency (%)
37
 
3.6%
24
 
2.3%
18
 
1.7%
14
 
1.4%
14
 
1.4%
14
 
1.4%
13
 
1.3%
13
 
1.3%
12
 
1.2%
12
 
1.2%
Other values (449) 861
83.4%
Common
ValueCountFrequency (%)
51978
65.9%
: 4812
 
6.1%
[ 4336
 
5.5%
] 4336
 
5.5%
, 1938
 
2.5%
2 1210
 
1.5%
) 1203
 
1.5%
( 1203
 
1.5%
1 1062
 
1.3%
0 891
 
1.1%
Other values (58) 5887
 
7.5%
Hiragana
ValueCountFrequency (%)
50
 
10.1%
27
 
5.5%
22
 
4.4%
21
 
4.2%
20
 
4.0%
19
 
3.8%
19
 
3.8%
17
 
3.4%
16
 
3.2%
16
 
3.2%
Other values (49) 268
54.1%
Latin
ValueCountFrequency (%)
e 10466
 
11.9%
o 6615
 
7.5%
a 6070
 
6.9%
r 5695
 
6.5%
i 5659
 
6.4%
n 5554
 
6.3%
t 5481
 
6.2%
s 4769
 
5.4%
l 3602
 
4.1%
h 3381
 
3.8%
Other values (47) 30868
35.0%
Katakana
ValueCountFrequency (%)
8
 
5.5%
7
 
4.8%
7
 
4.8%
6
 
4.1%
6
 
4.1%
6
 
4.1%
6
 
4.1%
5
 
3.4%
4
 
2.8%
4
 
2.8%
Other values (43) 86
59.3%
Cyrillic
ValueCountFrequency (%)
а 5
12.2%
и 5
12.2%
р 3
 
7.3%
е 3
 
7.3%
т 3
 
7.3%
д 2
 
4.9%
б 2
 
4.9%
н 2
 
4.9%
к 2
 
4.9%
о 2
 
4.9%
Other values (11) 12
29.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166830
54.5%
Hangul 137634
44.9%
CJK 1021
 
0.3%
Hiragana 495
 
0.2%
Katakana 145
 
< 0.1%
None 128
 
< 0.1%
Cyrillic 41
 
< 0.1%
Punctuation 25
 
< 0.1%
Enclosed Alphanum 25
 
< 0.1%
CJK Compat Ideographs 11
 
< 0.1%
Other values (4) 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51978
31.2%
e 10466
 
6.3%
o 6615
 
4.0%
a 6070
 
3.6%
r 5695
 
3.4%
i 5659
 
3.4%
n 5554
 
3.3%
t 5481
 
3.3%
: 4812
 
2.9%
s 4769
 
2.9%
Other values (78) 59731
35.8%
Hangul
ValueCountFrequency (%)
3414
 
2.5%
3382
 
2.5%
3207
 
2.3%
2778
 
2.0%
2585
 
1.9%
2416
 
1.8%
2412
 
1.8%
2163
 
1.6%
2018
 
1.5%
1955
 
1.4%
Other values (1220) 111304
80.9%
Hiragana
ValueCountFrequency (%)
50
 
10.1%
27
 
5.5%
22
 
4.4%
21
 
4.2%
20
 
4.0%
19
 
3.8%
19
 
3.8%
17
 
3.4%
16
 
3.2%
16
 
3.2%
Other values (49) 268
54.1%
CJK
ValueCountFrequency (%)
37
 
3.6%
24
 
2.4%
18
 
1.8%
14
 
1.4%
14
 
1.4%
14
 
1.4%
13
 
1.3%
13
 
1.3%
12
 
1.2%
12
 
1.2%
Other values (443) 850
83.3%
None
ValueCountFrequency (%)
23
18.0%
22
17.2%
14
10.9%
14
10.9%
13
10.2%
11
8.6%
6
 
4.7%
¡ 6
 
4.7%
5
 
3.9%
  4
 
3.1%
Other values (10) 10
7.8%
Punctuation
ValueCountFrequency (%)
9
36.0%
8
32.0%
6
24.0%
2
 
8.0%
Katakana
ValueCountFrequency (%)
8
 
5.5%
7
 
4.8%
7
 
4.8%
6
 
4.1%
6
 
4.1%
6
 
4.1%
6
 
4.1%
5
 
3.4%
4
 
2.8%
4
 
2.8%
Other values (43) 86
59.3%
Enclosed Alphanum
ValueCountFrequency (%)
8
32.0%
7
28.0%
4
16.0%
2
 
8.0%
2
 
8.0%
1
 
4.0%
1
 
4.0%
CJK Compat Ideographs
ValueCountFrequency (%)
6
54.5%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Cyrillic
ValueCountFrequency (%)
а 5
12.2%
и 5
12.2%
р 3
 
7.3%
е 3
 
7.3%
т 3
 
7.3%
д 2
 
4.9%
б 2
 
4.9%
н 2
 
4.9%
к 2
 
4.9%
о 2
 
4.9%
Other values (11) 12
29.3%
Number Forms
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

자료유형코드
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5484 
ze
3152 
zea
851 
zb
 
213
za
 
129
Other values (8)
 
171

Length

Max length4
Median length1
Mean length1.5537
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowze
2nd row
3rd rowze
4th row
5th rowze

Common Values

ValueCountFrequency (%)
5484
54.8%
ze 3152
31.5%
zea 851
 
8.5%
zb 213
 
2.1%
za 129
 
1.3%
dvz 78
 
0.8%
zac 50
 
0.5%
zai 21
 
0.2%
zab 12
 
0.1%
zah 6
 
0.1%
Other values (3) 4
 
< 0.1%

Length

2024-05-10T23:30:04.212265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ze 3152
69.8%
zea 851
 
18.8%
zb 213
 
4.7%
za 129
 
2.9%
dvz 78
 
1.7%
zac 50
 
1.1%
zai 21
 
0.5%
zab 12
 
0.3%
zah 6
 
0.1%
zs 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

자료유형명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5485 
전자책
3152 
전자책(오디오북)
851 
일반도서
 
213
서울시 간행물
 
129
Other values (7)
 
170

Length

Max length11
Median length4
Mean length4.1939
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5485
54.9%
전자책 3152
31.5%
전자책(오디오북) 851
 
8.5%
일반도서 213
 
2.1%
서울시 간행물 129
 
1.3%
DVD자료 78
 
0.8%
기술용역보고서 50
 
0.5%
서울시 간행물(원문) 21
 
0.2%
학술용역보고서 12
 
0.1%
서울시 연속간행물 6
 
0.1%
Other values (2) 3
 
< 0.1%

Length

2024-05-10T23:30:04.654254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5485
54.0%
전자책 3152
31.0%
전자책(오디오북 851
 
8.4%
일반도서 213
 
2.1%
서울시 156
 
1.5%
간행물 129
 
1.3%
dvd자료 78
 
0.8%
기술용역보고서 50
 
0.5%
간행물(원문 21
 
0.2%
학술용역보고서 12
 
0.1%
Other values (2) 9
 
0.1%

저자
Text

Distinct7957
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T23:30:05.379710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length66
Mean length9.9672
Min length1

Characters and Unicode

Total characters99672
Distinct characters1201
Distinct categories10 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6998 ?
Unique (%)70.0%

Sample

1st row이영란 글 ;이리 그림
2nd row보리스 비앙 지음
3rd row지은이: 로베르트 발저 ;옮긴이: 배수아
4th row[by] Pema Chodron
5th rowMarx, Karl
ValueCountFrequency (%)
지음 3539
 
15.2%
676
 
2.9%
by 403
 
1.7%
옮김 262
 
1.1%
195
 
0.8%
그림 190
 
0.8%
글?그림 169
 
0.7%
114
 
0.5%
지은이 111
 
0.5%
컴펜편집부 101
 
0.4%
Other values (10148) 17499
75.2%
2024-05-10T23:30:06.588382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13275
 
13.3%
4047
 
4.1%
e 3625
 
3.6%
3609
 
3.6%
a 3341
 
3.4%
n 2706
 
2.7%
r 2478
 
2.5%
i 2413
 
2.4%
, 2411
 
2.4%
o 1885
 
1.9%
Other values (1191) 59882
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46135
46.3%
Lowercase Letter 28528
28.6%
Space Separator 13275
 
13.3%
Uppercase Letter 6251
 
6.3%
Other Punctuation 4078
 
4.1%
Close Punctuation 639
 
0.6%
Open Punctuation 638
 
0.6%
Dash Punctuation 72
 
0.1%
Decimal Number 39
 
< 0.1%
Math Symbol 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4047
 
8.8%
3609
 
7.8%
1638
 
3.6%
1303
 
2.8%
942
 
2.0%
715
 
1.5%
681
 
1.5%
658
 
1.4%
492
 
1.1%
454
 
1.0%
Other values (1081) 31596
68.5%
Lowercase Letter
ValueCountFrequency (%)
e 3625
12.7%
a 3341
11.7%
n 2706
9.5%
r 2478
 
8.7%
i 2413
 
8.5%
o 1885
 
6.6%
l 1775
 
6.2%
s 1302
 
4.6%
t 1292
 
4.5%
y 1059
 
3.7%
Other values (36) 6652
23.3%
Uppercase Letter
ValueCountFrequency (%)
M 595
 
9.5%
S 551
 
8.8%
C 460
 
7.4%
L 436
 
7.0%
J 431
 
6.9%
A 407
 
6.5%
D 360
 
5.8%
B 343
 
5.5%
H 321
 
5.1%
R 320
 
5.1%
Other values (23) 2027
32.4%
Other Punctuation
ValueCountFrequency (%)
, 2411
59.1%
; 516
 
12.7%
? 380
 
9.3%
. 352
 
8.6%
: 335
 
8.2%
/ 52
 
1.3%
' 16
 
0.4%
14
 
0.3%
& 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 15
38.5%
3 5
 
12.8%
0 4
 
10.3%
5 4
 
10.3%
2 3
 
7.7%
8 3
 
7.7%
6 2
 
5.1%
9 2
 
5.1%
7 1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
] 540
84.5%
) 97
 
15.2%
1
 
0.2%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 540
84.6%
( 96
 
15.0%
1
 
0.2%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 8
47.1%
< 8
47.1%
+ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
13275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45537
45.7%
Latin 34742
34.9%
Common 18758
18.8%
Han 454
 
0.5%
Katakana 102
 
0.1%
Hiragana 42
 
< 0.1%
Cyrillic 37
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4047
 
8.9%
3609
 
7.9%
1638
 
3.6%
1303
 
2.9%
942
 
2.1%
715
 
1.6%
681
 
1.5%
658
 
1.4%
492
 
1.1%
454
 
1.0%
Other values (800) 30998
68.1%
Han
ValueCountFrequency (%)
64
 
14.1%
13
 
2.9%
13
 
2.9%
13
 
2.9%
12
 
2.6%
12
 
2.6%
11
 
2.4%
10
 
2.2%
7
 
1.5%
7
 
1.5%
Other values (201) 292
64.3%
Latin
ValueCountFrequency (%)
e 3625
 
10.4%
a 3341
 
9.6%
n 2706
 
7.8%
r 2478
 
7.1%
i 2413
 
6.9%
o 1885
 
5.4%
l 1775
 
5.1%
s 1302
 
3.7%
t 1292
 
3.7%
y 1059
 
3.0%
Other values (43) 12866
37.0%
Katakana
ValueCountFrequency (%)
10
 
9.8%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
3
 
2.9%
Other values (38) 57
55.9%
Common
ValueCountFrequency (%)
13275
70.8%
, 2411
 
12.9%
] 540
 
2.9%
[ 540
 
2.9%
; 516
 
2.8%
? 380
 
2.0%
. 352
 
1.9%
: 335
 
1.8%
) 97
 
0.5%
( 96
 
0.5%
Other values (21) 216
 
1.2%
Cyrillic
ValueCountFrequency (%)
о 4
 
10.8%
р 4
 
10.8%
а 3
 
8.1%
н 2
 
5.4%
е 2
 
5.4%
л 2
 
5.4%
э 1
 
2.7%
с 1
 
2.7%
У 1
 
2.7%
т 1
 
2.7%
Other values (16) 16
43.2%
Hiragana
ValueCountFrequency (%)
6
14.3%
5
11.9%
4
 
9.5%
3
 
7.1%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
Other values (12) 12
28.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53481
53.7%
Hangul 45537
45.7%
CJK 451
 
0.5%
Katakana 102
 
0.1%
Hiragana 42
 
< 0.1%
Cyrillic 37
 
< 0.1%
None 19
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13275
24.8%
e 3625
 
6.8%
a 3341
 
6.2%
n 2706
 
5.1%
r 2478
 
4.6%
i 2413
 
4.5%
, 2411
 
4.5%
o 1885
 
3.5%
l 1775
 
3.3%
s 1302
 
2.4%
Other values (68) 18270
34.2%
Hangul
ValueCountFrequency (%)
4047
 
8.9%
3609
 
7.9%
1638
 
3.6%
1303
 
2.9%
942
 
2.1%
715
 
1.6%
681
 
1.5%
658
 
1.4%
492
 
1.1%
454
 
1.0%
Other values (800) 30998
68.1%
CJK
ValueCountFrequency (%)
64
 
14.2%
13
 
2.9%
13
 
2.9%
13
 
2.9%
12
 
2.7%
12
 
2.7%
11
 
2.4%
10
 
2.2%
7
 
1.6%
7
 
1.6%
Other values (199) 289
64.1%
None
ValueCountFrequency (%)
14
73.7%
Ø 1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Katakana
ValueCountFrequency (%)
10
 
9.8%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
3
 
2.9%
Other values (38) 57
55.9%
Hiragana
ValueCountFrequency (%)
6
14.3%
5
11.9%
4
 
9.5%
3
 
7.1%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
Other values (12) 12
28.6%
Cyrillic
ValueCountFrequency (%)
о 4
 
10.8%
р 4
 
10.8%
а 3
 
8.1%
н 2
 
5.4%
е 2
 
5.4%
л 2
 
5.4%
э 1
 
2.7%
с 1
 
2.7%
У 1
 
2.7%
т 1
 
2.7%
Other values (16) 16
43.2%
CJK Compat Ideographs
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct3090
Distinct (%)30.9%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-10T23:30:07.041967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length9.8420684
Min length1

Characters and Unicode

Total characters98401
Distinct characters1000
Distinct categories11 ?
Distinct scripts7 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1916 ?
Unique (%)19.2%

Sample

1st row풀과바람
2nd row휴머니스트출판그룹
3rd row한겨레출판
4th rowShambhala
5th rowVearsa
ValueCountFrequency (%)
inc 749
 
4.4%
682
 
4.0%
lightning 287
 
1.7%
source 287
 
1.7%
house 273
 
1.6%
㈜컨텐츠포탈 251
 
1.5%
books 245
 
1.4%
random 244
 
1.4%
publishing 195
 
1.1%
and 184
 
1.1%
Other values (3328) 13688
80.1%
2024-05-10T23:30:07.849586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7087
 
7.2%
e 4303
 
4.4%
n 4195
 
4.3%
o 3658
 
3.7%
i 3248
 
3.3%
r 3017
 
3.1%
a 2746
 
2.8%
s 2514
 
2.6%
t 2059
 
2.1%
u 2003
 
2.0%
Other values (990) 63571
64.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 39742
40.4%
Other Letter 38160
38.8%
Uppercase Letter 9473
 
9.6%
Space Separator 7087
 
7.2%
Other Punctuation 1948
 
2.0%
Close Punctuation 700
 
0.7%
Open Punctuation 700
 
0.7%
Other Symbol 359
 
0.4%
Decimal Number 208
 
0.2%
Dash Punctuation 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1602
 
4.2%
1117
 
2.9%
1051
 
2.8%
1042
 
2.7%
603
 
1.6%
583
 
1.5%
578
 
1.5%
558
 
1.5%
543
 
1.4%
507
 
1.3%
Other values (893) 29976
78.6%
Lowercase Letter
ValueCountFrequency (%)
e 4303
10.8%
n 4195
10.6%
o 3658
 
9.2%
i 3248
 
8.2%
r 3017
 
7.6%
a 2746
 
6.9%
s 2514
 
6.3%
t 2059
 
5.2%
u 2003
 
5.0%
c 1932
 
4.9%
Other values (27) 10067
25.3%
Uppercase Letter
ValueCountFrequency (%)
I 1032
10.9%
H 937
9.9%
S 807
 
8.5%
P 796
 
8.4%
R 781
 
8.2%
L 717
 
7.6%
B 689
 
7.3%
M 634
 
6.7%
C 506
 
5.3%
A 412
 
4.3%
Other values (18) 2162
22.8%
Other Punctuation
ValueCountFrequency (%)
: 910
46.7%
, 477
24.5%
? 197
 
10.1%
. 129
 
6.6%
& 112
 
5.7%
; 39
 
2.0%
/ 29
 
1.5%
' 22
 
1.1%
# 21
 
1.1%
! 9
 
0.5%
Other values (2) 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 43
20.7%
5 41
19.7%
6 31
14.9%
3 31
14.9%
1 30
14.4%
0 11
 
5.3%
8 8
 
3.8%
4 6
 
2.9%
9 5
 
2.4%
7 2
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 620
88.6%
] 80
 
11.4%
Open Punctuation
ValueCountFrequency (%)
( 620
88.6%
[ 80
 
11.4%
Dash Punctuation
ValueCountFrequency (%)
- 17
94.4%
1
 
5.6%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
× 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7087
100.0%
Other Symbol
ValueCountFrequency (%)
359
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 49190
50.0%
Hangul 37882
38.5%
Common 10667
 
10.8%
Han 469
 
0.5%
Katakana 153
 
0.2%
Cyrillic 25
 
< 0.1%
Hiragana 15
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1602
 
4.2%
1117
 
2.9%
1051
 
2.8%
1042
 
2.8%
603
 
1.6%
583
 
1.5%
578
 
1.5%
558
 
1.5%
543
 
1.4%
507
 
1.3%
Other values (683) 29698
78.4%
Han
ValueCountFrequency (%)
45
 
9.6%
25
 
5.3%
24
 
5.1%
14
 
3.0%
14
 
3.0%
14
 
3.0%
13
 
2.8%
13
 
2.8%
13
 
2.8%
12
 
2.6%
Other values (145) 282
60.1%
Latin
ValueCountFrequency (%)
e 4303
 
8.7%
n 4195
 
8.5%
o 3658
 
7.4%
i 3248
 
6.6%
r 3017
 
6.1%
a 2746
 
5.6%
s 2514
 
5.1%
t 2059
 
4.2%
u 2003
 
4.1%
c 1932
 
3.9%
Other values (42) 19515
39.7%
Katakana
ValueCountFrequency (%)
11
 
7.2%
11
 
7.2%
9
 
5.9%
8
 
5.2%
7
 
4.6%
6
 
3.9%
6
 
3.9%
5
 
3.3%
5
 
3.3%
5
 
3.3%
Other values (35) 80
52.3%
Common
ValueCountFrequency (%)
7087
66.4%
: 910
 
8.5%
) 620
 
5.8%
( 620
 
5.8%
, 477
 
4.5%
? 197
 
1.8%
. 129
 
1.2%
& 112
 
1.0%
] 80
 
0.7%
[ 80
 
0.7%
Other values (21) 355
 
3.3%
Cyrillic
ValueCountFrequency (%)
а 5
20.0%
м 4
16.0%
н 3
12.0%
р 2
 
8.0%
М 2
 
8.0%
д 2
 
8.0%
и 1
 
4.0%
з 1
 
4.0%
о 1
 
4.0%
А 1
 
4.0%
Other values (3) 3
12.0%
Hiragana
ValueCountFrequency (%)
3
20.0%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59853
60.8%
Hangul 37512
38.1%
CJK 468
 
0.5%
None 363
 
0.4%
Katakana 153
 
0.2%
Cyrillic 25
 
< 0.1%
Hiragana 15
 
< 0.1%
Compat Jamo 11
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7087
 
11.8%
e 4303
 
7.2%
n 4195
 
7.0%
o 3658
 
6.1%
i 3248
 
5.4%
r 3017
 
5.0%
a 2746
 
4.6%
s 2514
 
4.2%
t 2059
 
3.4%
u 2003
 
3.3%
Other values (70) 25023
41.8%
Hangul
ValueCountFrequency (%)
1602
 
4.3%
1117
 
3.0%
1051
 
2.8%
1042
 
2.8%
603
 
1.6%
583
 
1.6%
578
 
1.5%
558
 
1.5%
543
 
1.4%
507
 
1.4%
Other values (676) 29328
78.2%
None
ValueCountFrequency (%)
359
98.9%
2
 
0.6%
× 1
 
0.3%
1
 
0.3%
CJK
ValueCountFrequency (%)
45
 
9.6%
25
 
5.3%
24
 
5.1%
14
 
3.0%
14
 
3.0%
14
 
3.0%
13
 
2.8%
13
 
2.8%
13
 
2.8%
12
 
2.6%
Other values (144) 281
60.0%
Katakana
ValueCountFrequency (%)
11
 
7.2%
11
 
7.2%
9
 
5.9%
8
 
5.2%
7
 
4.6%
6
 
3.9%
6
 
3.9%
5
 
3.3%
5
 
3.3%
5
 
3.3%
Other values (35) 80
52.3%
Cyrillic
ValueCountFrequency (%)
а 5
20.0%
м 4
16.0%
н 3
12.0%
р 2
 
8.0%
М 2
 
8.0%
д 2
 
8.0%
и 1
 
4.0%
з 1
 
4.0%
о 1
 
4.0%
А 1
 
4.0%
Other values (3) 3
12.0%
Compat Jamo
ValueCountFrequency (%)
3
27.3%
2
18.2%
2
18.2%
2
18.2%
1
 
9.1%
1
 
9.1%
Hiragana
ValueCountFrequency (%)
3
20.0%
2
13.3%
2
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
1
 
6.7%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

신착도서여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:08.066579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

서평존재여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:08.201496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

VOD 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:08.340033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고서 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:08.653637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

온라인 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:08.893182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

초록 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:09.125068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

목차 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9867 
True
 
133
ValueCountFrequency (%)
False 9867
98.7%
True 133
 
1.3%
2024-05-10T23:30:09.331589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

해제 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:09.572439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

URL링크 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2024-05-10T23:30:09.705676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청구기호
Unsupported

REJECTED  UNSUPPORTED 

Missing9
Missing (%)0.1%
Memory size156.2 KiB

분류기호
Unsupported

REJECTED  UNSUPPORTED 

Missing9
Missing (%)0.1%
Memory size156.2 KiB

발행년
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB
Distinct1146
Distinct (%)11.5%
Missing31
Missing (%)0.3%
Memory size156.2 KiB
2024-05-10T23:30:10.190416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.2812719
Min length1

Characters and Unicode

Total characters42680
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)7.0%

Sample

1st row
2nd row2023-16
3rd row
4th row2023-1
5th row
ValueCountFrequency (%)
2023-1 820
 
14.3%
2023-2 378
 
6.6%
2024-1 325
 
5.7%
2023-3 242
 
4.2%
2023-4 182
 
3.2%
2023-5 141
 
2.5%
2023-6 131
 
2.3%
2024-2 107
 
1.9%
2023-7 100
 
1.7%
2023-9 72
 
1.3%
Other values (1135) 3230
56.4%
2024-05-10T23:30:11.104014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12669
29.7%
0 6231
14.6%
- 6095
14.3%
3 5324
12.5%
4241
 
9.9%
1 3321
 
7.8%
4 1560
 
3.7%
5 753
 
1.8%
6 708
 
1.7%
7 630
 
1.5%
Other values (2) 1148
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32344
75.8%
Dash Punctuation 6095
 
14.3%
Space Separator 4241
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12669
39.2%
0 6231
19.3%
3 5324
16.5%
1 3321
 
10.3%
4 1560
 
4.8%
5 753
 
2.3%
6 708
 
2.2%
7 630
 
1.9%
9 581
 
1.8%
8 567
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 6095
100.0%
Space Separator
ValueCountFrequency (%)
4241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42680
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 12669
29.7%
0 6231
14.6%
- 6095
14.3%
3 5324
12.5%
4241
 
9.9%
1 3321
 
7.8%
4 1560
 
3.7%
5 753
 
1.8%
6 708
 
1.7%
7 630
 
1.5%
Other values (2) 1148
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12669
29.7%
0 6231
14.6%
- 6095
14.3%
3 5324
12.5%
4241
 
9.9%
1 3321
 
7.8%
4 1560
 
3.7%
5 753
 
1.8%
6 708
 
1.7%
7 630
 
1.5%
Other values (2) 1148
 
2.7%

언어
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
kor
9464 
eng
 
351
jpn
 
69
fre
 
32
chi
 
29
Other values (13)
 
55

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowkor
2nd rowkor
3rd rowkor
4th roweng
5th rowkor

Common Values

ValueCountFrequency (%)
kor 9464
94.6%
eng 351
 
3.5%
jpn 69
 
0.7%
fre 32
 
0.3%
chi 29
 
0.3%
29
 
0.3%
spa 6
 
0.1%
ger 5
 
0.1%
cam 3
 
< 0.1%
uzb 2
 
< 0.1%
Other values (8) 10
 
0.1%

Length

2024-05-10T23:30:11.524843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kor 9464
94.9%
eng 351
 
3.5%
jpn 69
 
0.7%
fre 32
 
0.3%
chi 29
 
0.3%
spa 6
 
0.1%
ger 5
 
0.1%
cam 3
 
< 0.1%
vie 2
 
< 0.1%
uzb 2
 
< 0.1%
Other values (7) 8
 
0.1%

언어명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국어
9464 
English(영어)
 
351
<NA>
 
87
日本語(일본어)
 
69
??(중국어)
 
29

Length

Max length11
Median length3
Mean length3.3356
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국어
2nd row한국어
3rd row한국어
4th rowEnglish(영어)
5th row한국어

Common Values

ValueCountFrequency (%)
한국어 9464
94.6%
English(영어) 351
 
3.5%
<NA> 87
 
0.9%
日本語(일본어) 69
 
0.7%
??(중국어) 29
 
0.3%

Length

2024-05-10T23:30:11.934566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:30:12.242553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국어 9464
94.6%
english(영어 351
 
3.5%
na 87
 
0.9%
日本語(일본어 69
 
0.7%
중국어 29
 
0.3%

국가코드
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
ulk
7881 
ggk
1314 
us
 
295
sjk
 
87
ja
 
68
Other values (35)
 
355

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st rowulk
2nd rowulk
3rd rowulk
4th rowus
5th rowulk

Common Values

ValueCountFrequency (%)
ulk 7881
78.8%
ggk 1314
 
13.1%
us 295
 
2.9%
sjk 87
 
0.9%
ja 68
 
0.7%
fr 30
 
0.3%
cc 29
 
0.3%
tgk 29
 
0.3%
bnk 29
 
0.3%
uk 28
 
0.3%
Other values (30) 210
 
2.1%

Length

2024-05-10T23:30:12.449646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ulk 7881
79.0%
ggk 1314
 
13.2%
us 295
 
3.0%
sjk 87
 
0.9%
ja 68
 
0.7%
fr 30
 
0.3%
cc 29
 
0.3%
tgk 29
 
0.3%
bnk 29
 
0.3%
uk 28
 
0.3%
Other values (29) 192
 
1.9%

국가코드명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국
9406 
<NA>
 
594

Length

Max length4
Median length2
Mean length2.1188
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국 9406
94.1%
<NA> 594
 
5.9%

Length

2024-05-10T23:30:12.678669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:30:12.872458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국 9406
94.1%
na 594
 
5.9%

판차
Text

MISSING 

Distinct114
Distinct (%)2.5%
Missing5373
Missing (%)53.7%
Memory size156.2 KiB
2024-05-10T23:30:13.333555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length1
Mean length1.3261292
Min length1

Characters and Unicode

Total characters6136
Distinct characters100
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)1.7%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
개정판 124
24.8%
2판 76
15.2%
3판 27
 
5.4%
4판 17
 
3.4%
ed 15
 
3.0%
개정 14
 
2.8%
1개정판[실은 14
 
2.8%
제3판 11
 
2.2%
제2판 10
 
2.0%
개정중판 10
 
2.0%
Other values (107) 181
36.3%
2024-05-10T23:30:14.099989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4356
71.0%
417
 
6.8%
231
 
3.8%
229
 
3.7%
2 120
 
2.0%
[ 77
 
1.3%
] 77
 
1.3%
3 59
 
1.0%
53
 
0.9%
53
 
0.9%
Other values (90) 464
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Space Separator 4356
71.0%
Other Letter 1179
 
19.2%
Decimal Number 293
 
4.8%
Lowercase Letter 137
 
2.2%
Open Punctuation 78
 
1.3%
Close Punctuation 78
 
1.3%
Other Punctuation 10
 
0.2%
Uppercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
417
35.4%
231
19.6%
229
19.4%
53
 
4.5%
53
 
4.5%
40
 
3.4%
17
 
1.4%
17
 
1.4%
11
 
0.9%
11
 
0.9%
Other values (46) 100
 
8.5%
Lowercase Letter
ValueCountFrequency (%)
e 30
21.9%
d 22
16.1%
r 13
9.5%
a 12
 
8.8%
n 11
 
8.0%
t 9
 
6.6%
p 6
 
4.4%
h 6
 
4.4%
y 4
 
2.9%
i 3
 
2.2%
Other values (10) 21
15.3%
Decimal Number
ValueCountFrequency (%)
2 120
41.0%
3 59
20.1%
1 41
 
14.0%
4 28
 
9.6%
6 13
 
4.4%
0 11
 
3.8%
5 10
 
3.4%
7 5
 
1.7%
9 3
 
1.0%
8 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
? 1
 
10.0%
. 1
 
10.0%
; 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
D 1
25.0%
B 1
25.0%
N 1
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 77
98.7%
( 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
] 77
98.7%
) 1
 
1.3%
Space Separator
ValueCountFrequency (%)
4356
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4816
78.5%
Hangul 1157
 
18.9%
Latin 141
 
2.3%
Han 22
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
417
36.0%
231
20.0%
229
19.8%
53
 
4.6%
53
 
4.6%
40
 
3.5%
17
 
1.5%
17
 
1.5%
11
 
1.0%
11
 
1.0%
Other values (36) 78
 
6.7%
Latin
ValueCountFrequency (%)
e 30
21.3%
d 22
15.6%
r 13
9.2%
a 12
 
8.5%
n 11
 
7.8%
t 9
 
6.4%
p 6
 
4.3%
h 6
 
4.3%
y 4
 
2.8%
i 3
 
2.1%
Other values (14) 25
17.7%
Common
ValueCountFrequency (%)
4356
90.4%
2 120
 
2.5%
[ 77
 
1.6%
] 77
 
1.6%
3 59
 
1.2%
1 41
 
0.9%
4 28
 
0.6%
6 13
 
0.3%
0 11
 
0.2%
5 10
 
0.2%
Other values (10) 24
 
0.5%
Han
ValueCountFrequency (%)
10
45.5%
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4957
80.8%
Hangul 1157
 
18.9%
CJK 22
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4356
87.9%
2 120
 
2.4%
[ 77
 
1.6%
] 77
 
1.6%
3 59
 
1.2%
1 41
 
0.8%
e 30
 
0.6%
4 28
 
0.6%
d 22
 
0.4%
r 13
 
0.3%
Other values (34) 134
 
2.7%
Hangul
ValueCountFrequency (%)
417
36.0%
231
20.0%
229
19.8%
53
 
4.6%
53
 
4.6%
40
 
3.5%
17
 
1.5%
17
 
1.5%
11
 
1.0%
11
 
1.0%
Other values (36) 78
 
6.7%
CJK
ValueCountFrequency (%)
10
45.5%
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Distinct1209
Distinct (%)12.1%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2024-05-10T23:30:14.845385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length6
Mean length6.1733734
Min length1

Characters and Unicode

Total characters61672
Distinct characters70
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

Unique622 ?
Unique (%)6.2%

Sample

1st row전자책 1책
2nd row202 p.
3rd row전자책 1책
4th rowix, 142 p.
5th row전자책 1책
ValueCountFrequency (%)
p 5587
27.9%
1책 4021
20.1%
전자책 4003
20.0%
비디오디스크 78
 
0.4%
1매 77
 
0.4%
1 58
 
0.3%
255 58
 
0.3%
271 57
 
0.3%
239 47
 
0.2%
v 45
 
0.2%
Other values (838) 6013
30.0%
2024-05-10T23:30:15.970661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10522
17.1%
8055
13.1%
1 6553
10.6%
. 5612
9.1%
p 5590
9.1%
4025
 
6.5%
4024
 
6.5%
2 2981
 
4.8%
3 2380
 
3.9%
4 1594
 
2.6%
Other values (60) 10336
16.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20696
33.6%
Other Letter 17027
27.6%
Space Separator 10522
17.1%
Lowercase Letter 6616
 
10.7%
Other Punctuation 5988
 
9.7%
Close Punctuation 407
 
0.7%
Open Punctuation 407
 
0.7%
Dash Punctuation 6
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8055
47.3%
4025
23.6%
4024
23.6%
156
 
0.9%
81
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
Other values (30) 296
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 6553
31.7%
2 2981
14.4%
3 2380
 
11.5%
4 1594
 
7.7%
5 1475
 
7.1%
7 1235
 
6.0%
9 1217
 
5.9%
6 1119
 
5.4%
0 1119
 
5.4%
8 1023
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
p 5590
84.5%
i 475
 
7.2%
x 351
 
5.3%
v 184
 
2.8%
l 9
 
0.1%
c 4
 
0.1%
m 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 5612
93.7%
, 370
 
6.2%
; 3
 
0.1%
: 3
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
U 1
33.3%
S 1
33.3%
B 1
33.3%
Close Punctuation
ValueCountFrequency (%)
] 281
69.0%
) 126
31.0%
Open Punctuation
ValueCountFrequency (%)
[ 281
69.0%
( 126
31.0%
Space Separator
ValueCountFrequency (%)
10522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38026
61.7%
Hangul 17027
27.6%
Latin 6619
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8055
47.3%
4025
23.6%
4024
23.6%
156
 
0.9%
81
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
Other values (30) 296
 
1.7%
Common
ValueCountFrequency (%)
10522
27.7%
1 6553
17.2%
. 5612
14.8%
2 2981
 
7.8%
3 2380
 
6.3%
4 1594
 
4.2%
5 1475
 
3.9%
7 1235
 
3.2%
9 1217
 
3.2%
6 1119
 
2.9%
Other values (10) 3338
 
8.8%
Latin
ValueCountFrequency (%)
p 5590
84.5%
i 475
 
7.2%
x 351
 
5.3%
v 184
 
2.8%
l 9
 
0.1%
c 4
 
0.1%
m 3
 
< 0.1%
U 1
 
< 0.1%
S 1
 
< 0.1%
B 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44645
72.4%
Hangul 17027
 
27.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10522
23.6%
1 6553
14.7%
. 5612
12.6%
p 5590
12.5%
2 2981
 
6.7%
3 2380
 
5.3%
4 1594
 
3.6%
5 1475
 
3.3%
7 1235
 
2.8%
9 1217
 
2.7%
Other values (20) 5486
12.3%
Hangul
ValueCountFrequency (%)
8055
47.3%
4025
23.6%
4024
23.6%
156
 
0.9%
81
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
78
 
0.5%
Other values (30) 296
 
1.7%

국제표준도서번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)2.5%
Memory size156.2 KiB

딸림정보
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5720 
4242 
낱장부록 1매
 
22
별책부록 1책
 
8
낱장부록 1매 + CD-ROM 1매
 
1
Other values (7)
 
7

Length

Max length19
Median length4
Mean length2.7424
Min length1

Unique

Unique8 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5720
57.2%
4242
42.4%
낱장부록 1매 22
 
0.2%
별책부록 1책 8
 
0.1%
낱장부록 1매 + CD-ROM 1매 1
 
< 0.1%
낱말부록 1매 1
 
< 0.1%
DVD 1매 + 별책부록 2책 1
 
< 0.1%
녹음형 발행 CD 1개 1
 
< 0.1%
옮기고 나서 1매 1
 
< 0.1%
낱장부록 3매 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2024-05-10T23:30:16.368187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5720
98.5%
1매 28
 
0.5%
낱장부록 24
 
0.4%
별책부록 10
 
0.2%
1책 8
 
0.1%
2
 
< 0.1%
cd 1
 
< 0.1%
1책(em468117 1
 
< 0.1%
3매 1
 
< 0.1%
나서 1
 
< 0.1%
Other values (9) 9
 
0.2%

소장처
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
F0000000
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF0000000
2nd rowF0000000
3rd rowF0000000
4th rowF0000000
5th rowF0000000

Common Values

ValueCountFrequency (%)
F0000000 10000
100.0%

Length

2024-05-10T23:30:16.753374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:30:17.041398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f0000000 10000
100.0%

소장처명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울도서관
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울도서관 10000
100.0%

Length

2024-05-10T23:30:17.342386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:30:17.581585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울도서관 10000
100.0%

등록일
Real number (ℝ)

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20232765
Minimum20230406
Maximum20240509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T23:30:17.938664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230406
5-th percentile20230406
Q120230421
median20230821
Q320231206
95-th percentile20240509
Maximum20240509
Range10103
Interquartile range (IQR)785.25

Descriptive statistics

Standard deviation3993.7905
Coefficient of variation (CV)0.00019739222
Kurtosis-0.071587738
Mean20232765
Median Absolute Deviation (MAD)395
Skewness1.3796726
Sum2.0232765 × 1011
Variance15950363
MonotonicityNot monotonic
2024-05-10T23:30:18.787767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20240509 1097
 
11.0%
20230406 1008
 
10.1%
20230426 977
 
9.8%
20230420 862
 
8.6%
20231108 272
 
2.7%
20230821 217
 
2.2%
20230822 211
 
2.1%
20230717 184
 
1.8%
20231024 183
 
1.8%
20231006 177
 
1.8%
Other values (214) 4812
48.1%
ValueCountFrequency (%)
20230406 1008
10.1%
20230407 16
 
0.2%
20230409 117
 
1.2%
20230410 4
 
< 0.1%
20230411 82
 
0.8%
20230412 131
 
1.3%
20230413 153
 
1.5%
20230414 87
 
0.9%
20230417 5
 
0.1%
20230418 25
 
0.2%
ValueCountFrequency (%)
20240509 1097
11.0%
20240504 40
 
0.4%
20240501 13
 
0.1%
20240428 6
 
0.1%
20240426 18
 
0.2%
20240424 101
 
1.0%
20240418 1
 
< 0.1%
20240415 2
 
< 0.1%
20240414 56
 
0.6%
20240409 26
 
0.3%

자료실 코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

자료실 이름
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

대출상태코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

대출상태메시지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

자료코드자료명자료유형코드자료유형명저자출판사신착도서여부서평존재여부VOD 유무고서 유무온라인 유무초록 유무목차 유무해제 여부URL링크 유무청구기호분류기호발행년저자기호언어언어명국가코드국가코드명판차페이지국제표준도서번호딸림정보소장처소장처명등록일자료실 코드자료실 이름대출상태코드대출상태메시지
334801606574물을 지켜야 우리가 살아요[구독형]ze전자책이영란 글 ;이리 그림풀과바람NNNNNNNNN539.0539.02022kor한국어ulk한국전자책 1책9788983899996F0000000서울도서관20230406<NA><NA><NA><NA>
201001629206너희들 무덤에 침을 뱉으마<NA>보리스 비앙 지음휴머니스트출판그룹NNNNNNNNN863 2023-16863.020222023-16kor한국어ulk한국<NA>202 p.9791160809220<NA>F0000000서울도서관20230630<NA><NA><NA><NA>
323971604697산책자[구독형]ze전자책지은이: 로베르트 발저 ;옮긴이: 배수아한겨레출판NNNNNNNNN854854.02017kor한국어ulk한국전자책 1책9791160400526F0000000서울도서관20230406<NA><NA><NA><NA>
210591628102Living beautifully :with uncertainty and change<NA>[by] Pema ChodronShambhalaNNNNNNNNN224.8 2023-1224.820192023-1engEnglish(영어)us<NA><NA>ix, 142 p.9781611806809<NA>F0000000서울도서관20230621<NA><NA><NA><NA>
245871619339Capital, Volume 2[국외전자책]ze전자책Marx, KarlVearsaNNNNNNNNN843843.02014kor한국어ulk한국전자책 1책9781848705630F0000000서울도서관20230426<NA><NA><NA><NA>
261591615797걸리버 리턴즈 [비디오녹화자료]dvzDVD자료일리야 막시모프 감독이든그루 [제작]NNNNNNNNN688.6 2023-1688.620232023-1kor한국어ulk한국<NA>비디오디스크 1매 (80분)NaN<NA>F0000000서울도서관20230425<NA><NA><NA><NA>
82801652000치매친화 생활환경 조성을 위한 정책개선 방향 연구<NA>고영호건축공간연구원NNNNNNNNN513.898 2023-1513.89820222023-1kor한국어sjk<NA><NA>x, 196 p.9791156594000<NA>F0000000서울도서관20231211<NA><NA><NA><NA>
289831613917행복은 여기에[구독형]zea전자책(오디오북)권윤현㈜컨텐츠포탈NNNNNNNNN800800.02019kor한국어ulk한국전자책 1책9791107261265F0000000서울도서관20230420<NA><NA><NA><NA>
151981636299명리학그램 .5 ,60간지론<NA>김현희 지음이든북NNNNNNNNN188.5 2019-21 5188.520232019-21kor한국어tjk한국<NA>230 p.9791167012357<NA>F0000000서울도서관20230913<NA><NA><NA><NA>
3011680953Rodrick Rules[국외전자책]ze전자책Kinney, JeffABRAMSNNNNNNNNN8438432013kor한국어ulk한국전자책 1책9781613122440F0000000서울도서관20240509<NA><NA><NA><NA>
자료코드자료명자료유형코드자료유형명저자출판사신착도서여부서평존재여부VOD 유무고서 유무온라인 유무초록 유무목차 유무해제 여부URL링크 유무청구기호분류기호발행년저자기호언어언어명국가코드국가코드명판차페이지국제표준도서번호딸림정보소장처소장처명등록일자료실 코드자료실 이름대출상태코드대출상태메시지
306511610730어른의 말센스 :일과 관계가 단번에 좋아지는 54가지 말투<NA>히키타 요시아키 지음더 퀘스트 : 길벗NNNNNNNNN802.56 2023-9802.5620232023-9kor한국어ulk한국<NA>310 p.9791140703173<NA>F0000000서울도서관20230411<NA><NA><NA><NA>
170901632717글을 수놓다 나를 수놓다 :영어도 가르치고, 글도 쓰는 내가 참 좋다<NA>백정순 지음미다스북스NNNNNNNNN818 2023-479818.020232023-479kor한국어ulk한국<NA>272 p.9791169103183<NA>F0000000서울도서관20230821<NA><NA><NA><NA>
174331632482관광연구의 이해 .[1] =Tourism research methodology<NA>장호찬 저한국방송통신대학교 출판문화원NNNNNNNNN326.39 2017-1-2 1326.3920232017-1-2kor한국어ulk한국1개정판[실은 2판]361 p.9788920045905<NA>F0000000서울도서관20230817<NA><NA><NA><NA>
200751629137곳비 꽃비 :이은소 장편소설 .1<NA>이은소 지음고즈넉이엔티NNNNNNNNN813.7 2023-148 1813.720232023-148kor한국어ulk한국<NA>335 p.9791163168317<NA>F0000000서울도서관20230630<NA><NA><NA><NA>
142951642068어른을 키우는 어른을 위한 심리학 :성인 자녀를 키우는 부모를 위한 마음 수업<NA>하지현 지음은행나무NNNNNNNNN189.24 2023-6189.2420232023-6kor한국어ulk한국<NA>281 p.9791167373540<NA>F0000000서울도서관20231002<NA><NA><NA><NA>
90061651133(Der) Papierpalast :roman<NA>[by] Miranda Cowley HellerUllsteinNNNNNNNNN843.6 2023-4843.620232023-4ger<NA>gw<NA><NA>444 p.9783548067759<NA>F0000000서울도서관20231206<NA><NA><NA><NA>
157561634586조상님과 후손에 대한 예의와 도리 :최동순 자서전<NA>최동순 지음명성서림NNNNNNNNN818 2023-32081820222023-320kor한국어ulk한국<NA>308 p.9791192487793<NA>F0000000서울도서관20230829<NA><NA><NA><NA>
2868716138601일 1패턴 영어회화 - 기초 3단어 패턴 step1[구독형]zea전자책(오디오북)정나래스마트챌린지NNNNNNNNN700700.02019kor한국어ulk한국전자책 1책9791107256827F0000000서울도서관20230420<NA><NA><NA><NA>
280801612839계절[구독형]zea전자책(오디오북)이효석㈜컨텐츠포탈NNNNNNNNN800800.02017kor한국어ulk한국전자책 1책9791107003117F0000000서울도서관20230420<NA><NA><NA><NA>
46801667683소프트웨어 개발의 진주 :60개의 레슨으로 배우는 소프트웨어 개발의 핵심 지식과 실전 경험<NA>칼 위거스 지음제이펍NNNNNNNNN005.1 2024-6005.120242024-6kor한국어ggk한국<NA>278 p.9791192987682<NA>F0000000서울도서관20240402<NA><NA><NA><NA>