Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells5775
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory105.0 B

Variable types

Text6
Numeric1
Categorical5

Dataset

Description대전광역시 서구 월평도서관에서 보유하고 있는 도서목록 및 정보(등록번호, 도서명, 저자, 출판사, 출판연도 등) 현황을 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15077187/fileData.do

Alerts

소장처 has constant value ""Constant
자료상태 has constant value ""Constant
자료실 is highly overall correlated with 별치High correlation
별치 is highly overall correlated with 자료실High correlation
복본 is highly imbalanced (86.9%)Imbalance
권호 has 5768 (57.7%) missing valuesMissing
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:28:53.255234
Analysis finished2024-03-14 20:28:58.782815
Duration5.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T05:28:59.548936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowWM0000071742
2nd rowWM0000059917
3rd rowWM0000063887
4th rowWM0000059529
5th rowWM0000034579
ValueCountFrequency (%)
wm0000071742 1
 
< 0.1%
wm0000028689 1
 
< 0.1%
wm0000058008 1
 
< 0.1%
wm0000050834 1
 
< 0.1%
wm0000101582 1
 
< 0.1%
wm0000050849 1
 
< 0.1%
wm0000074319 1
 
< 0.1%
wm0000047866 1
 
< 0.1%
wm0000028324 1
 
< 0.1%
wm0000072884 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-03-15T05:29:00.852507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54704
45.6%
W 10000
 
8.3%
M 10000
 
8.3%
1 5502
 
4.6%
6 5468
 
4.6%
5 5346
 
4.5%
4 5332
 
4.4%
7 5326
 
4.4%
2 5204
 
4.3%
3 5196
 
4.3%
Other values (2) 7922
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54704
54.7%
1 5502
 
5.5%
6 5468
 
5.5%
5 5346
 
5.3%
4 5332
 
5.3%
7 5326
 
5.3%
2 5204
 
5.2%
3 5196
 
5.2%
9 3986
 
4.0%
8 3936
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
W 10000
50.0%
M 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54704
54.7%
1 5502
 
5.5%
6 5468
 
5.5%
5 5346
 
5.3%
4 5332
 
5.3%
7 5326
 
5.3%
2 5204
 
5.2%
3 5196
 
5.2%
9 3986
 
4.0%
8 3936
 
3.9%
Latin
ValueCountFrequency (%)
W 10000
50.0%
M 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54704
45.6%
W 10000
 
8.3%
M 10000
 
8.3%
1 5502
 
4.6%
6 5468
 
4.6%
5 5346
 
4.5%
4 5332
 
4.4%
7 5326
 
4.4%
2 5204
 
4.3%
3 5196
 
4.3%
Other values (2) 7922
 
6.6%

서명
Text

Distinct9913
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T05:29:02.176018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length77
Mean length21.9509
Min length1

Characters and Unicode

Total characters219509
Distinct characters1494
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9829 ?
Unique (%)98.3%

Sample

1st row(흔한남매) 과학 탐험대 . 6 , 물리 2
2nd row나눠 먹어요
3rd row지구 끝의 온실 : 김초엽 장편소설
4th row가치투자, 주식황제 존 네프처럼 하라
5th row이공계의 뇌로 산다 : 세상을 깊이 있고 유용하게 살아가기 위한 과학적 사고의 힘 = Natural science and engineering
ValueCountFrequency (%)
6385
 
10.6%
이야기 375
 
0.6%
장편소설 365
 
0.6%
1 306
 
0.5%
위한 288
 
0.5%
2 276
 
0.5%
내 227
 
0.4%
우리 198
 
0.3%
나는 162
 
0.3%
어떻게 133
 
0.2%
Other values (22698) 51696
85.6%
2024-03-15T05:29:03.900116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50455
 
23.0%
: 4091
 
1.9%
이 4067
 
1.9%
의 3978
 
1.8%
는 3202
 
1.5%
기 2250
 
1.0%
, 2097
 
1.0%
가 2068
 
0.9%
리 1958
 
0.9%
한 1908
 
0.9%
Other values (1484) 143435
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141075
64.3%
Space Separator 50455
 
23.0%
Lowercase Letter 9665
 
4.4%
Other Punctuation 9153
 
4.2%
Decimal Number 3924
 
1.8%
Uppercase Letter 1931
 
0.9%
Open Punctuation 1378
 
0.6%
Close Punctuation 1376
 
0.6%
Math Symbol 343
 
0.2%
Dash Punctuation 135
 
0.1%
Other values (6) 74
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4067
 
2.9%
의 3978
 
2.8%
는 3202
 
2.3%
기 2250
 
1.6%
가 2068
 
1.5%
리 1958
 
1.4%
한 1908
 
1.4%
지 1874
 
1.3%
사 1826
 
1.3%
다 1804
 
1.3%
Other values (1367) 116140
82.3%
Lowercase Letter
ValueCountFrequency (%)
e 1155
12.0%
o 911
 
9.4%
a 801
 
8.3%
i 726
 
7.5%
t 721
 
7.5%
r 679
 
7.0%
n 652
 
6.7%
s 607
 
6.3%
h 492
 
5.1%
l 447
 
4.6%
Other values (17) 2474
25.6%
Uppercase Letter
ValueCountFrequency (%)
T 193
 
10.0%
S 183
 
9.5%
W 144
 
7.5%
A 142
 
7.4%
B 118
 
6.1%
M 107
 
5.5%
C 104
 
5.4%
D 90
 
4.7%
I 85
 
4.4%
P 83
 
4.3%
Other values (16) 682
35.3%
Other Punctuation
ValueCountFrequency (%)
: 4091
44.7%
, 2097
22.9%
. 1271
 
13.9%
! 705
 
7.7%
? 548
 
6.0%
· 215
 
2.3%
' 129
 
1.4%
％ 23
 
0.3%
& 20
 
0.2%
＆ 18
 
0.2%
Other values (9) 36
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 265
77.3%
~ 39
 
11.4%
+ 13
 
3.8%
< 8
 
2.3%
> 8
 
2.3%
× 5
 
1.5%
＜ 1
 
0.3%
＞ 1
 
0.3%
｜ 1
 
0.3%
| 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1070
27.3%
2 696
17.7%
0 662
16.9%
3 386
 
9.8%
5 266
 
6.8%
4 240
 
6.1%
9 169
 
4.3%
7 164
 
4.2%
6 147
 
3.7%
8 124
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 1318
95.6%
[ 54
 
3.9%
『 3
 
0.2%
《 2
 
0.1%
「 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1316
95.6%
] 54
 
3.9%
』 3
 
0.2%
》 2
 
0.1%
」 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
★ 4
50.0%
□ 2
25.0%
℃ 1
 
12.5%
ⓔ 1
 
12.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅸ 1
 
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
66.7%
＿ 1
33.3%
Space Separator
ValueCountFrequency (%)
50455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 52
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140978
64.2%
Common 66833
30.4%
Latin 11600
 
5.3%
Han 97
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4067
 
2.9%
의 3978
 
2.8%
는 3202
 
2.3%
기 2250
 
1.6%
가 2068
 
1.5%
리 1958
 
1.4%
한 1908
 
1.4%
지 1874
 
1.3%
사 1826
 
1.3%
다 1804
 
1.3%
Other values (1302) 116043
82.3%
Han
ValueCountFrequency (%)
食 8
 
8.2%
客 7
 
7.2%
道 3
 
3.1%
生 3
 
3.1%
下 3
 
3.1%
國 3
 
3.1%
神 2
 
2.1%
詩 2
 
2.1%
學 2
 
2.1%
人 2
 
2.1%
Other values (55) 62
63.9%
Common
ValueCountFrequency (%)
50455
75.5%
: 4091
 
6.1%
, 2097
 
3.1%
( 1318
 
2.0%
) 1316
 
2.0%
. 1271
 
1.9%
1 1070
 
1.6%
! 705
 
1.1%
2 696
 
1.0%
0 662
 
1.0%
Other values (51) 3152
 
4.7%
Latin
ValueCountFrequency (%)
e 1155
 
10.0%
o 911
 
7.9%
a 801
 
6.9%
i 726
 
6.3%
t 721
 
6.2%
r 679
 
5.9%
n 652
 
5.6%
s 607
 
5.2%
h 492
 
4.2%
l 447
 
3.9%
Other values (45) 4409
38.0%
Greek
ValueCountFrequency (%)
π 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140968
64.2%
ASCII 78117
35.6%
None 292
 
0.1%
CJK 96
 
< 0.1%
Punctuation 11
 
< 0.1%
Compat Jamo 10
 
< 0.1%
Number Forms 5
 
< 0.1%
Misc Symbols 4
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50455
64.6%
: 4091
 
5.2%
, 2097
 
2.7%
( 1318
 
1.7%
) 1316
 
1.7%
. 1271
 
1.6%
e 1155
 
1.5%
1 1070
 
1.4%
o 911
 
1.2%
a 801
 
1.0%
Other values (78) 13632
 
17.5%
Hangul
ValueCountFrequency (%)
이 4067
 
2.9%
의 3978
 
2.8%
는 3202
 
2.3%
기 2250
 
1.6%
가 2068
 
1.5%
리 1958
 
1.4%
한 1908
 
1.4%
지 1874
 
1.3%
사 1826
 
1.3%
다 1804
 
1.3%
Other values (1295) 116033
82.3%
None
ValueCountFrequency (%)
· 215
73.6%
％ 23
 
7.9%
＆ 18
 
6.2%
？ 7
 
2.4%
× 5
 
1.7%
！ 5
 
1.7%
』 3
 
1.0%
『 3
 
1.0%
》 2
 
0.7%
《 2
 
0.7%
Other values (8) 9
 
3.1%
CJK
ValueCountFrequency (%)
食 8
 
8.3%
客 7
 
7.3%
道 3
 
3.1%
生 3
 
3.1%
下 3
 
3.1%
國 3
 
3.1%
神 2
 
2.1%
詩 2
 
2.1%
學 2
 
2.1%
人 2
 
2.1%
Other values (54) 61
63.5%
Punctuation
ValueCountFrequency (%)
… 5
45.5%
’ 3
27.3%
‘ 3
27.3%
Misc Symbols
ValueCountFrequency (%)
★ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 1
 
20.0%
Ⅸ 1
 
20.0%
Geometric Shapes
ValueCountFrequency (%)
□ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
20.0%
ㄴ 2
20.0%
ㄷ 2
20.0%
ㆍ 1
10.0%
ㄹ 1
10.0%
ㅊ 1
10.0%
ㅎ 1
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

저자
Text

Distinct7210
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T05:29:05.423122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length3
Mean length5.1953
Min length1

Characters and Unicode

Total characters51953
Distinct characters915
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5832 ?
Unique (%)58.3%

Sample

1st row흔한남매
2nd row반디단비
3rd row김초엽
4th row네프, 존
5th row완웨이강
ValueCountFrequency (%)
존 51
 
0.4%
편집부 40
 
0.3%
데이비드 38
 
0.3%
송도수 37
 
0.3%
마이클 28
 
0.2%
박현숙 26
 
0.2%
레이코 24
 
0.2%
히가시노 24
 
0.2%
메리 24
 
0.2%
히로시마 23
 
0.2%
Other values (8616) 14110
97.8%
2024-03-15T05:29:07.231643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4425
 
8.5%
, 2983
 
5.7%
이 1789
 
3.4%
스 1160
 
2.2%
김 1058
 
2.0%
리 1028
 
2.0%
정 656
 
1.3%
영 608
 
1.2%
미 560
 
1.1%
마 495
 
1.0%
Other values (905) 37191
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40032
77.1%
Space Separator 4425
 
8.5%
Lowercase Letter 3345
 
6.4%
Other Punctuation 3068
 
5.9%
Uppercase Letter 1008
 
1.9%
Dash Punctuation 36
 
0.1%
Decimal Number 15
 
< 0.1%
Math Symbol 8
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1789
 
4.5%
스 1160
 
2.9%
김 1058
 
2.6%
리 1028
 
2.6%
정 656
 
1.6%
영 608
 
1.5%
미 560
 
1.4%
마 495
 
1.2%
라 473
 
1.2%
박 457
 
1.1%
Other values (829) 31748
79.3%
Lowercase Letter
ValueCountFrequency (%)
e 416
12.4%
a 392
11.7%
n 318
9.5%
r 298
 
8.9%
o 286
 
8.6%
i 227
 
6.8%
l 207
 
6.2%
t 170
 
5.1%
s 154
 
4.6%
c 123
 
3.7%
Other values (16) 754
22.5%
Uppercase Letter
ValueCountFrequency (%)
S 96
 
9.5%
R 95
 
9.4%
M 93
 
9.2%
J 71
 
7.0%
A 66
 
6.5%
B 66
 
6.5%
K 60
 
6.0%
C 58
 
5.8%
H 53
 
5.3%
L 52
 
5.2%
Other values (15) 298
29.6%
Other Punctuation
ValueCountFrequency (%)
, 2983
97.2%
. 76
 
2.5%
· 5
 
0.2%
& 1
 
< 0.1%
? 1
 
< 0.1%
' 1
 
< 0.1%
＆ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
5 3
20.0%
2 2
 
13.3%
0 2
 
13.3%
6 2
 
13.3%
4 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
〉 3
50.0%
] 2
33.3%
) 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
〈 3
50.0%
[ 2
33.3%
( 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
< 4
50.0%
> 4
50.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
50.0%
´ 2
50.0%
Space Separator
ValueCountFrequency (%)
4425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40031
77.1%
Common 7568
 
14.6%
Latin 4353
 
8.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1789
 
4.5%
스 1160
 
2.9%
김 1058
 
2.6%
리 1028
 
2.6%
정 656
 
1.6%
영 608
 
1.5%
미 560
 
1.4%
마 495
 
1.2%
라 473
 
1.2%
박 457
 
1.1%
Other values (828) 31747
79.3%
Latin
ValueCountFrequency (%)
e 416
 
9.6%
a 392
 
9.0%
n 318
 
7.3%
r 298
 
6.8%
o 286
 
6.6%
i 227
 
5.2%
l 207
 
4.8%
t 170
 
3.9%
s 154
 
3.5%
c 123
 
2.8%
Other values (41) 1762
40.5%
Common
ValueCountFrequency (%)
4425
58.5%
, 2983
39.4%
. 76
 
1.0%
- 36
 
0.5%
1 5
 
0.1%
· 5
 
0.1%
< 4
 
0.1%
> 4
 
0.1%
〉 3
 
< 0.1%
〈 3
 
< 0.1%
Other values (15) 24
 
0.3%
Han
ValueCountFrequency (%)
書 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40028
77.0%
ASCII 11907
 
22.9%
None 14
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4425
37.2%
, 2983
25.1%
e 416
 
3.5%
a 392
 
3.3%
n 318
 
2.7%
r 298
 
2.5%
o 286
 
2.4%
i 227
 
1.9%
l 207
 
1.7%
t 170
 
1.4%
Other values (61) 2185
18.4%
Hangul
ValueCountFrequency (%)
이 1789
 
4.5%
스 1160
 
2.9%
김 1058
 
2.6%
리 1028
 
2.6%
정 656
 
1.6%
영 608
 
1.5%
미 560
 
1.4%
마 495
 
1.2%
라 473
 
1.2%
박 457
 
1.1%
Other values (825) 31744
79.3%
None
ValueCountFrequency (%)
· 5
35.7%
〉 3
21.4%
〈 3
21.4%
´ 2
 
14.3%
＆ 1
 
7.1%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
33.3%
ㅂ 1
33.3%
ㅆ 1
33.3%
CJK
ValueCountFrequency (%)
書 1
100.0%

출판사
Text

Distinct2375
Distinct (%)23.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-15T05:29:08.448980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length4.5458546
Min length1

Characters and Unicode

Total characters45454
Distinct characters725
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1253 ?
Unique (%)12.5%

Sample

1st row주니어김영사
2nd row봄이아트북스
3rd row자이언트북스
4th row시대의창
5th row더숲
ValueCountFrequency (%)
비룡소 197
 
1.9%
문학동네 183
 
1.7%
창비 181
 
1.7%
시공주니어 126
 
1.2%
민음사 123
 
1.2%
위즈덤하우스 118
 
1.1%
주니어김영사 111
 
1.1%
웅진주니어 89
 
0.8%
books 88
 
0.8%
김영사 79
 
0.8%
Other values (2394) 9226
87.7%
2024-03-15T05:29:09.933613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1540
 
3.4%
이 1370
 
3.0%
북 1234
 
2.7%
사 1175
 
2.6%
어 1028
 
2.3%
아 784
 
1.7%
o 774
 
1.7%
비 662
 
1.5%
문 641
 
1.4%
니 607
 
1.3%
Other values (715) 35639
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38192
84.0%
Lowercase Letter 4944
 
10.9%
Uppercase Letter 1411
 
3.1%
Space Separator 522
 
1.1%
Decimal Number 139
 
0.3%
Other Punctuation 97
 
0.2%
Close Punctuation 69
 
0.2%
Open Punctuation 69
 
0.2%
Modifier Symbol 7
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1540
 
4.0%
이 1370
 
3.6%
북 1234
 
3.2%
사 1175
 
3.1%
어 1028
 
2.7%
아 784
 
2.1%
비 662
 
1.7%
문 641
 
1.7%
니 607
 
1.6%
리 589
 
1.5%
Other values (638) 28562
74.8%
Lowercase Letter
ValueCountFrequency (%)
o 774
15.7%
s 525
10.6%
e 422
 
8.5%
r 384
 
7.8%
n 370
 
7.5%
i 351
 
7.1%
a 307
 
6.2%
k 254
 
5.1%
l 223
 
4.5%
d 194
 
3.9%
Other values (16) 1140
23.1%
Uppercase Letter
ValueCountFrequency (%)
B 286
20.3%
H 123
 
8.7%
R 93
 
6.6%
S 93
 
6.6%
P 88
 
6.2%
K 86
 
6.1%
C 74
 
5.2%
M 71
 
5.0%
O 66
 
4.7%
L 51
 
3.6%
Other values (15) 380
26.9%
Other Punctuation
ValueCountFrequency (%)
. 20
20.6%
＆ 20
20.6%
· 13
13.4%
& 11
11.3%
' 10
10.3%
, 8
 
8.2%
# 5
 
5.2%
; 4
 
4.1%
: 3
 
3.1%
＃ 2
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 56
40.3%
2 53
38.1%
4 6
 
4.3%
3 5
 
3.6%
7 4
 
2.9%
0 4
 
2.9%
8 3
 
2.2%
9 3
 
2.2%
6 3
 
2.2%
5 2
 
1.4%
Space Separator
ValueCountFrequency (%)
522
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38188
84.0%
Latin 6355
 
14.0%
Common 907
 
2.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1540
 
4.0%
이 1370
 
3.6%
북 1234
 
3.2%
사 1175
 
3.1%
어 1028
 
2.7%
아 784
 
2.1%
비 662
 
1.7%
문 641
 
1.7%
니 607
 
1.6%
리 589
 
1.5%
Other values (634) 28558
74.8%
Latin
ValueCountFrequency (%)
o 774
 
12.2%
s 525
 
8.3%
e 422
 
6.6%
r 384
 
6.0%
n 370
 
5.8%
i 351
 
5.5%
a 307
 
4.8%
B 286
 
4.5%
k 254
 
4.0%
l 223
 
3.5%
Other values (41) 2459
38.7%
Common
ValueCountFrequency (%)
522
57.6%
) 69
 
7.6%
( 69
 
7.6%
1 56
 
6.2%
2 53
 
5.8%
. 20
 
2.2%
＆ 20
 
2.2%
· 13
 
1.4%
& 11
 
1.2%
' 10
 
1.1%
Other values (16) 64
 
7.1%
Han
ValueCountFrequency (%)
大 1
25.0%
英 1
25.0%
社 1
25.0%
人 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38187
84.0%
ASCII 7227
 
15.9%
None 35
 
0.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1540
 
4.0%
이 1370
 
3.6%
북 1234
 
3.2%
사 1175
 
3.1%
어 1028
 
2.7%
아 784
 
2.1%
비 662
 
1.7%
문 641
 
1.7%
니 607
 
1.6%
리 589
 
1.5%
Other values (633) 28557
74.8%
ASCII
ValueCountFrequency (%)
o 774
 
10.7%
s 525
 
7.3%
522
 
7.2%
e 422
 
5.8%
r 384
 
5.3%
n 370
 
5.1%
i 351
 
4.9%
a 307
 
4.2%
B 286
 
4.0%
k 254
 
3.5%
Other values (64) 3032
42.0%
None
ValueCountFrequency (%)
＆ 20
57.1%
· 13
37.1%
＃ 2
 
5.7%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%
CJK
ValueCountFrequency (%)
大 1
25.0%
英 1
25.0%
社 1
25.0%
人 1
25.0%

출판년
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2018.1124
Minimum1977
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T05:29:10.169655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1977
5-th percentile2010
Q12017
median2019
Q32021
95-th percentile2023
Maximum2023
Range46
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.0193021
Coefficient of variation (CV)0.0019916146
Kurtosis5.9287235
Mean2018.1124
Median Absolute Deviation (MAD)2
Skewness-1.8160522
Sum20169015
Variance16.154789
MonotonicityNot monotonic
2024-03-15T05:29:10.584148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2019 1720
17.2%
2021 1198
12.0%
2018 1048
10.5%
2020 1019
10.2%
2022 977
9.8%
2017 886
8.9%
2023 760
7.6%
2016 620
 
6.2%
2015 393
 
3.9%
2014 245
 
2.5%
Other values (24) 1128
11.3%
ValueCountFrequency (%)
1977 1
 
< 0.1%
1984 1
 
< 0.1%
1986 2
 
< 0.1%
1990 1
 
< 0.1%
1992 1
 
< 0.1%
1993 3
 
< 0.1%
1995 2
 
< 0.1%
1997 3
 
< 0.1%
1998 5
0.1%
1999 8
0.1%
ValueCountFrequency (%)
2023 760
7.6%
2022 977
9.8%
2021 1198
12.0%
2020 1019
10.2%
2019 1720
17.2%
2018 1048
10.5%
2017 886
8.9%
2016 620
 
6.2%
2015 393
 
3.9%
2014 245
 
2.5%

청구기호
Text

Distinct9888
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T05:29:12.100460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length13.3896
Min length9

Characters and Unicode

Total characters133896
Distinct characters651
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

Unique9788 ?
Unique (%)97.9%

Sample

1st row404 흔914ㄱ 6
2nd row375.1 공723ㅂ 2-32
3rd row813.7 김884ㅈ
4th row327.856 네676ㄱ
5th row404 완883ㅇ
ValueCountFrequency (%)
808.91 768
 
3.2%
808.9 570
 
2.4%
843 516
 
2.1%
813.8 480
 
2.0%
1 432
 
1.8%
813.7 394
 
1.6%
2 387
 
1.6%
818 264
 
1.1%
408 248
 
1.0%
3 243
 
1.0%
Other values (8394) 19918
82.2%
2024-03-15T05:29:14.116821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28438
21.2%
8 12897
9.6%
1 11148
 
8.3%
3 9571
 
7.1%
9 7894
 
5.9%
2 7116
 
5.3%
4 7086
 
5.3%
. 7058
 
5.3%
5 6530
 
4.9%
7 6039
 
4.5%
Other values (641) 30119
22.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78192
58.4%
Space Separator 28438
 
21.2%
Other Letter 19374
 
14.5%
Other Punctuation 7058
 
5.3%
Uppercase Letter 326
 
0.2%
Lowercase Letter 299
 
0.2%
Dash Punctuation 209
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1827
 
9.4%
ㅅ 1177
 
6.1%
ㄱ 1017
 
5.2%
ㅂ 787
 
4.1%
ㅁ 707
 
3.6%
김 691
 
3.6%
이 629
 
3.2%
ㄴ 599
 
3.1%
ㅈ 589
 
3.0%
ㅎ 572
 
3.0%
Other values (580) 10779
55.6%
Uppercase Letter
ValueCountFrequency (%)
S 28
 
8.6%
D 27
 
8.3%
B 27
 
8.3%
A 27
 
8.3%
M 22
 
6.7%
O 22
 
6.7%
C 22
 
6.7%
U 18
 
5.5%
R 17
 
5.2%
L 15
 
4.6%
Other values (14) 101
31.0%
Lowercase Letter
ValueCountFrequency (%)
s 26
 
8.7%
t 26
 
8.7%
o 25
 
8.4%
b 21
 
7.0%
l 21
 
7.0%
f 18
 
6.0%
m 16
 
5.4%
a 16
 
5.4%
w 15
 
5.0%
h 13
 
4.3%
Other values (14) 102
34.1%
Decimal Number
ValueCountFrequency (%)
8 12897
16.5%
1 11148
14.3%
3 9571
12.2%
9 7894
10.1%
2 7116
9.1%
4 7086
9.1%
5 6530
8.4%
7 6039
7.7%
6 5076
 
6.5%
0 4835
 
6.2%
Space Separator
ValueCountFrequency (%)
28438
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113897
85.1%
Hangul 19374
 
14.5%
Latin 625
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1827
 
9.4%
ㅅ 1177
 
6.1%
ㄱ 1017
 
5.2%
ㅂ 787
 
4.1%
ㅁ 707
 
3.6%
김 691
 
3.6%
이 629
 
3.2%
ㄴ 599
 
3.1%
ㅈ 589
 
3.0%
ㅎ 572
 
3.0%
Other values (580) 10779
55.6%
Latin
ValueCountFrequency (%)
S 28
 
4.5%
D 27
 
4.3%
B 27
 
4.3%
A 27
 
4.3%
s 26
 
4.2%
t 26
 
4.2%
o 25
 
4.0%
M 22
 
3.5%
O 22
 
3.5%
C 22
 
3.5%
Other values (38) 373
59.7%
Common
ValueCountFrequency (%)
28438
25.0%
8 12897
11.3%
1 11148
 
9.8%
3 9571
 
8.4%
9 7894
 
6.9%
2 7116
 
6.2%
4 7086
 
6.2%
. 7058
 
6.2%
5 6530
 
5.7%
7 6039
 
5.3%
Other values (3) 10120
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114522
85.5%
Hangul 10064
 
7.5%
Compat Jamo 9310
 
7.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28438
24.8%
8 12897
11.3%
1 11148
 
9.7%
3 9571
 
8.4%
9 7894
 
6.9%
2 7116
 
6.2%
4 7086
 
6.2%
. 7058
 
6.2%
5 6530
 
5.7%
7 6039
 
5.3%
Other values (51) 10745
 
9.4%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1827
19.6%
ㅅ 1177
12.6%
ㄱ 1017
10.9%
ㅂ 787
8.5%
ㅁ 707
 
7.6%
ㄴ 599
 
6.4%
ㅈ 589
 
6.3%
ㅎ 572
 
6.1%
ㅊ 527
 
5.7%
ㄷ 492
 
5.3%
Other values (9) 1016
10.9%
Hangul
ValueCountFrequency (%)
김 691
 
6.9%
이 629
 
6.2%
박 279
 
2.8%
아 193
 
1.9%
정 174
 
1.7%
최 164
 
1.6%
사 156
 
1.6%
세 154
 
1.5%
마 150
 
1.5%
오 138
 
1.4%
Other values (561) 7336
72.9%

별치
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4927 
아
2815 
유
1701 
FJ
 
301
초등
 
153
Other values (3)
 
103

Length

Max length4
Median length2
Mean length2.5325
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4927
49.3%
아 2815
28.1%
유 1701
 
17.0%
FJ 301
 
3.0%
초등 153
 
1.5%
큰글 73
 
0.7%
FL 17
 
0.2%
태 13
 
0.1%

Length

2024-03-15T05:29:14.407890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:29:14.699425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4927
49.3%
아 2815
28.1%
유 1701
 
17.0%
fj 301
 
3.0%
초등 153
 
1.5%
큰글 73
 
0.7%
fl 17
 
0.2%
태 13
 
0.1%

권호
Text

MISSING 

Distinct392
Distinct (%)9.3%
Missing5768
Missing (%)57.7%
Memory size156.2 KiB
2024-03-15T05:29:16.456332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.7041588
Min length3

Characters and Unicode

Total characters15676
Distinct characters16
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)4.1%

Sample

1st rowv.6
2nd rowv.2-32
3rd rowv.6
4th rowv.7
5th rowv.6
ValueCountFrequency (%)
v.1 436
 
10.3%
v.2 390
 
9.2%
v.3 243
 
5.7%
v.4 196
 
4.6%
v.5 178
 
4.2%
v.6 132
 
3.1%
v.7 120
 
2.8%
v.9 100
 
2.4%
v.8 92
 
2.2%
v.10 89
 
2.1%
Other values (382) 2257
53.3%
2024-03-15T05:29:18.530545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4232
27.0%
v 4230
27.0%
1 1661
 
10.6%
2 1259
 
8.0%
3 828
 
5.3%
4 684
 
4.4%
5 571
 
3.6%
6 470
 
3.0%
7 425
 
2.7%
8 381
 
2.4%
Other values (6) 935
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7003
44.7%
Other Punctuation 4232
27.0%
Lowercase Letter 4231
27.0%
Dash Punctuation 208
 
1.3%
Uppercase Letter 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1661
23.7%
2 1259
18.0%
3 828
11.8%
4 684
9.8%
5 571
 
8.2%
6 470
 
6.7%
7 425
 
6.1%
8 381
 
5.4%
9 372
 
5.3%
0 352
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
v 4230
> 99.9%
c 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 4232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11444
73.0%
Latin 4232
 
27.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4232
37.0%
1 1661
 
14.5%
2 1259
 
11.0%
3 828
 
7.2%
4 684
 
6.0%
5 571
 
5.0%
6 470
 
4.1%
7 425
 
3.7%
8 381
 
3.3%
9 372
 
3.3%
Other values (3) 561
 
4.9%
Latin
ValueCountFrequency (%)
v 4230
> 99.9%
V 1
 
< 0.1%
c 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4232
27.0%
v 4230
27.0%
1 1661
 
10.6%
2 1259
 
8.0%
3 828
 
5.3%
4 684
 
4.4%
5 571
 
3.6%
6 470
 
3.0%
7 425
 
2.7%
8 381
 
2.4%
Other values (6) 935
 
6.0%

복본
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9381 
c.2
 
564
c.3
 
47
c.4
 
4
C.2
 
2
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.9381
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9381
93.8%
c.2 564
 
5.6%
c.3 47
 
0.5%
c.4 4
 
< 0.1%
C.2 2
 
< 0.1%
c.5 1
 
< 0.1%
c.1 1
 
< 0.1%

Length

2024-03-15T05:29:18.824479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:29:19.020797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9381
93.8%
c.2 566
 
5.7%
c.3 47
 
0.5%
c.4 4
 
< 0.1%
c.5 1
 
< 0.1%
c.1 1
 
< 0.1%

소장처
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
월평도서관 10000
100.0%

Length

2024-03-15T05:29:19.271988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:29:19.559670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월평도서관 10000
100.0%

자료실
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
도서정보실
5000 
어린이자료실
2969 
유아자료실
2030 
<NA>
 
1

Length

Max length6
Median length5
Mean length5.2968
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row어린이자료실
2nd row유아자료실
3rd row도서정보실
4th row도서정보실
5th row도서정보실

Common Values

ValueCountFrequency (%)
도서정보실 5000
50.0%
어린이자료실 2969
29.7%
유아자료실 2030
20.3%
<NA> 1
 
< 0.1%

Length

2024-03-15T05:29:19.921065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:29:20.313878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서정보실 5000
50.0%
어린이자료실 2969
29.7%
유아자료실 2030
20.3%
na 1
 
< 0.1%

자료상태
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이용가능 10000
100.0%

Length

2024-03-15T05:29:20.751517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:29:21.110045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용가능 10000
100.0%

Interactions

2024-03-15T05:28:57.224273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:29:21.302139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년별치복본자료실
출판년1.0000.1550.0000.172
별치0.1551.0000.0390.987
복본0.0000.0391.0000.000
자료실0.1720.9870.0001.000
2024-03-15T05:29:21.592756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실복본별치
자료실1.0000.0000.999
복본0.0001.0000.014
별치0.9990.0141.000
2024-03-15T05:29:21.878100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년별치복본자료실
출판년1.0000.0840.0000.077
별치0.0841.0000.0140.999
복본0.0000.0141.0000.000
자료실0.0770.9990.0001.000

Missing values

2024-03-15T05:28:57.602987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:28:58.155948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-15T05:28:58.557955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

등록번호서명저자출판사출판년청구기호별치권호복본소장처자료실자료상태
61265WM0000071742(흔한남매) 과학 탐험대 . 6 , 물리 2흔한남매주니어김영사2022404 흔914ㄱ 6아v.6<NA>월평도서관어린이자료실이용가능
49839WM0000059917나눠 먹어요반디단비봄이아트북스2021375.1 공723ㅂ 2-32유v.2-32<NA>월평도서관유아자료실이용가능
53589WM0000063887지구 끝의 온실 : 김초엽 장편소설김초엽자이언트북스2021813.7 김884ㅈ<NA><NA>c.2월평도서관도서정보실이용가능
49457WM0000059529가치투자, 주식황제 존 네프처럼 하라네프, 존시대의창2016327.856 네676ㄱ<NA><NA><NA>월평도서관도서정보실이용가능
27251WM0000034579이공계의 뇌로 산다 : 세상을 깊이 있고 유용하게 살아가기 위한 과학적 사고의 힘 = Natural science and engineering완웨이강더숲2016404 완883ㅇ<NA><NA><NA>월평도서관도서정보실이용가능
2181WM0000003793(제이크의) 거짓말 공작소 . [6] , 축구하는 털북숭이브로드, 마이클사파리2013843 브888ㄱ 6아v.6<NA>월평도서관어린이자료실이용가능
60253WM0000070716서민갑부 : 절대 망하지 않는 창업&영업 전략 공개채널에이 서민갑부 제작팀동아일보사2022325.21 채312ㅅ<NA><NA><NA>월평도서관도서정보실이용가능
34025WM0000042765작가란 무엇인가 : 소설가들의 소설가를 인터뷰하다파리 리뷰다른2019809.3 파128ㅈ<NA><NA><NA>월평도서관도서정보실이용가능
28278WM0000035901열다섯 생쥐 가족과 아주 특별한 인형의 집본드, 마이클바둑이하우스2018843 본526ㅇ아<NA><NA>월평도서관어린이자료실이용가능
65169WM0000075698원시인 소년 물루샤르댕, 알렉산드르노랑꼬리별2023808.91 작153ㄴ 7유v.7<NA>월평도서관유아자료실이용가능
등록번호서명저자출판사출판년청구기호별치권호복본소장처자료실자료상태
42093WM0000051741태도 수업 : 가장 담대한 나를 만드는 12가지 원칙한재우다산초당2020199.1 한765ㅌ<NA><NA><NA>월평도서관도서정보실이용가능
7594WM0000012887(지방을 태우는 다이어트)케토제닉 레시피 170 : 고지방 중단백 저탄수 다이어트 플랜에머리히, 마리아윈타임즈2017594.675 에198ㅋ<NA><NA><NA>월평도서관도서정보실이용가능
21068WM0000027561(큰글자책) 현대수필 . 8 , 최남선 외 1925큰글 편집부큰글2014814.6 현272ㅋ 8큰글v.8<NA>월평도서관도서정보실이용가능
62422WM0000072928(TV생물도감의) 희귀한 생물 대백과 : 신기함 주의! 입이 떡 벌어지는 생물 총집합!티브이생물도감바이킹2022491 티968ㅎ아<NA><NA>월평도서관어린이자료실이용가능
42670WM0000052336책의 미래를 찾는 여행, 타이베이 : 대만의 밀레니얼 세대가 이끄는 서점과 동아시아 출판의 미래우치누마 신타로컴인2021013.33 우215차<NA><NA><NA>월평도서관도서정보실이용가능
19643WM0000026016외삼촌과 함께한 특별한 겨울 방학임선아교원2013608 솔552ㄱ 12유v.12<NA>월평도서관유아자료실이용가능
40934WM0000050518(진짜 일 학년)맞수가 나타났다!신순재천개의바람2020808.9 바119ㅊ 7아v.7<NA>월평도서관어린이자료실이용가능
47577WM0000057574세 아이의 약속이하은딱지2020813.808 일885ㄸ 3아v.3<NA>월평도서관어린이자료실이용가능
62295WM0000072800돌지 않는 팽이이준연소라피리2023813.808 소231ㅅ 12유v.12<NA>월평도서관유아자료실이용가능
6139WM0000011365식객 . 9 , 홍어를 찾아서 = 食客허영만김영사2005594.51 허149ㅅ 9<NA>v.9<NA>월평도서관도서정보실이용가능