Overview

Dataset statistics

Number of variables5
Number of observations733
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.5 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text4

Dataset

Description충청북도청 행정자료실의 신규 도서목록입니다. (연번, 등록번호(ISDN), 서명, 저작자, 발행자) 기준데이터(22년 7월~23년 7월)
URLhttps://www.data.go.kr/data/15039143/fileData.do

Alerts

번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:45:11.378650
Analysis finished2023-12-12 12:45:12.568951
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct733
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367
Minimum1
Maximum733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2023-12-12T21:45:12.650968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.6
Q1184
median367
Q3550
95-th percentile696.4
Maximum733
Range732
Interquartile range (IQR)366

Descriptive statistics

Standard deviation211.74316
Coefficient of variation (CV)0.57695684
Kurtosis-1.2
Mean367
Median Absolute Deviation (MAD)183
Skewness0
Sum269011
Variance44835.167
MonotonicityStrictly increasing
2023-12-12T21:45:12.851587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
483 1
 
0.1%
485 1
 
0.1%
486 1
 
0.1%
487 1
 
0.1%
488 1
 
0.1%
489 1
 
0.1%
490 1
 
0.1%
491 1
 
0.1%
492 1
 
0.1%
Other values (723) 723
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
733 1
0.1%
732 1
0.1%
731 1
0.1%
730 1
0.1%
729 1
0.1%
728 1
0.1%
727 1
0.1%
726 1
0.1%
725 1
0.1%
724 1
0.1%

등록번호
Text

UNIQUE 

Distinct733
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T21:45:13.116175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters8796
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

Unique733 ?
Unique (%)100.0%

Sample

1st rowEM0000051233
2nd rowEM0000051234
3rd rowEM0000051235
4th rowEM0000051236
5th rowEM0000051237
ValueCountFrequency (%)
em0000051233 1
 
0.1%
em0000051738 1
 
0.1%
em0000051717 1
 
0.1%
em0000051718 1
 
0.1%
em0000051719 1
 
0.1%
em0000051720 1
 
0.1%
em0000051721 1
 
0.1%
em0000051722 1
 
0.1%
em0000051723 1
 
0.1%
em0000051724 1
 
0.1%
Other values (723) 723
98.6%
2023-12-12T21:45:13.492054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3808
43.3%
5 987
 
11.2%
1 876
 
10.0%
E 733
 
8.3%
M 733
 
8.3%
4 254
 
2.9%
3 251
 
2.9%
6 249
 
2.8%
7 243
 
2.8%
8 243
 
2.8%
Other values (2) 419
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7330
83.3%
Uppercase Letter 1466
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3808
52.0%
5 987
 
13.5%
1 876
 
12.0%
4 254
 
3.5%
3 251
 
3.4%
6 249
 
3.4%
7 243
 
3.3%
8 243
 
3.3%
2 210
 
2.9%
9 209
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
E 733
50.0%
M 733
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7330
83.3%
Latin 1466
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3808
52.0%
5 987
 
13.5%
1 876
 
12.0%
4 254
 
3.5%
3 251
 
3.4%
6 249
 
3.4%
7 243
 
3.3%
8 243
 
3.3%
2 210
 
2.9%
9 209
 
2.9%
Latin
ValueCountFrequency (%)
E 733
50.0%
M 733
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3808
43.3%
5 987
 
11.2%
1 876
 
10.0%
E 733
 
8.3%
M 733
 
8.3%
4 254
 
2.9%
3 251
 
2.9%
6 249
 
2.8%
7 243
 
2.8%
8 243
 
2.8%
Other values (2) 419
 
4.8%

서명
Text

Distinct726
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T21:45:13.860451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length48
Mean length27.016371
Min length2

Characters and Unicode

Total characters19803
Distinct characters814
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique722 ?
Unique (%)98.5%

Sample

1st row감정 어휘 : 모호한 감정을 선명하게 밝혀 내 삶을 살게 해주는 말 공부
2nd row공감하는 유전자 : 삶의 방향을 바꾸는 인간의 생물학적 본성에 대하여
3rd row궁통보감 : 조후용신론의 체계적 이론을 세운 명저
4th row그랜드스탠딩 : 도덕적 허세는 어떻게 올바름을 오용하는가
5th row나의 운명 사용설명서 : 사주명리학과 안티 오이디푸스
ValueCountFrequency (%)
535
 
9.9%
장편소설 59
 
1.1%
위한 51
 
0.9%
2 33
 
0.6%
1 31
 
0.6%
판타지 26
 
0.5%
아이들 23
 
0.4%
장편 22
 
0.4%
룬의 21
 
0.4%
대모험 21
 
0.4%
Other values (2946) 4587
84.8%
2023-12-12T21:45:14.362169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4705
 
23.8%
: 546
 
2.8%
의 417
 
2.1%
이 348
 
1.8%
는 310
 
1.6%
지 213
 
1.1%
사 191
 
1.0%
다 190
 
1.0%
가 186
 
0.9%
한 172
 
0.9%
Other values (804) 12525
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13081
66.1%
Space Separator 4705
 
23.8%
Other Punctuation 911
 
4.6%
Decimal Number 483
 
2.4%
Lowercase Letter 355
 
1.8%
Uppercase Letter 92
 
0.5%
Open Punctuation 68
 
0.3%
Close Punctuation 68
 
0.3%
Math Symbol 23
 
0.1%
Dash Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 417
 
3.2%
이 348
 
2.7%
는 310
 
2.4%
지 213
 
1.6%
사 191
 
1.5%
다 190
 
1.5%
가 186
 
1.4%
한 172
 
1.3%
하 168
 
1.3%
을 162
 
1.2%
Other values (733) 10724
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 49
13.8%
o 38
10.7%
i 27
 
7.6%
r 26
 
7.3%
n 26
 
7.3%
t 25
 
7.0%
s 22
 
6.2%
a 17
 
4.8%
m 17
 
4.8%
d 17
 
4.8%
Other values (12) 91
25.6%
Uppercase Letter
ValueCountFrequency (%)
T 11
12.0%
I 8
 
8.7%
M 8
 
8.7%
A 7
 
7.6%
G 6
 
6.5%
S 6
 
6.5%
V 5
 
5.4%
B 5
 
5.4%
Z 5
 
5.4%
O 4
 
4.3%
Other values (12) 27
29.3%
Decimal Number
ValueCountFrequency (%)
2 103
21.3%
1 94
19.5%
0 90
18.6%
3 53
11.0%
5 49
10.1%
4 26
 
5.4%
8 22
 
4.6%
6 21
 
4.3%
7 15
 
3.1%
9 10
 
2.1%
Other Punctuation
ValueCountFrequency (%)
: 546
59.9%
, 165
 
18.1%
. 161
 
17.7%
? 16
 
1.8%
! 10
 
1.1%
' 8
 
0.9%
· 4
 
0.4%
& 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 63
92.6%
[ 5
 
7.4%
Close Punctuation
ValueCountFrequency (%)
) 63
92.6%
] 5
 
7.4%
Math Symbol
ValueCountFrequency (%)
= 22
95.7%
~ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
4705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13070
66.0%
Common 6275
31.7%
Latin 447
 
2.3%
Han 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 417
 
3.2%
이 348
 
2.7%
는 310
 
2.4%
지 213
 
1.6%
사 191
 
1.5%
다 190
 
1.5%
가 186
 
1.4%
한 172
 
1.3%
하 168
 
1.3%
을 162
 
1.2%
Other values (724) 10713
82.0%
Latin
ValueCountFrequency (%)
e 49
 
11.0%
o 38
 
8.5%
i 27
 
6.0%
r 26
 
5.8%
n 26
 
5.8%
t 25
 
5.6%
s 22
 
4.9%
a 17
 
3.8%
m 17
 
3.8%
d 17
 
3.8%
Other values (34) 183
40.9%
Common
ValueCountFrequency (%)
4705
75.0%
: 546
 
8.7%
, 165
 
2.6%
. 161
 
2.6%
2 103
 
1.6%
1 94
 
1.5%
0 90
 
1.4%
( 63
 
1.0%
) 63
 
1.0%
3 53
 
0.8%
Other values (17) 232
 
3.7%
Han
ValueCountFrequency (%)
集 2
18.2%
詩 2
18.2%
盲 1
9.1%
派 1
9.1%
命 1
9.1%
理 1
9.1%
學 1
9.1%
甲 1
9.1%
乙 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13070
66.0%
ASCII 6718
33.9%
CJK 11
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4705
70.0%
: 546
 
8.1%
, 165
 
2.5%
. 161
 
2.4%
2 103
 
1.5%
1 94
 
1.4%
0 90
 
1.3%
( 63
 
0.9%
) 63
 
0.9%
3 53
 
0.8%
Other values (60) 675
 
10.0%
Hangul
ValueCountFrequency (%)
의 417
 
3.2%
이 348
 
2.7%
는 310
 
2.4%
지 213
 
1.6%
사 191
 
1.5%
다 190
 
1.5%
가 186
 
1.4%
한 172
 
1.3%
하 168
 
1.3%
을 162
 
1.2%
Other values (724) 10713
82.0%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
集 2
18.2%
詩 2
18.2%
盲 1
9.1%
派 1
9.1%
命 1
9.1%
理 1
9.1%
學 1
9.1%
甲 1
9.1%
乙 1
9.1%

저작자
Text

Distinct584
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T21:45:14.662983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length12.377899
Min length3

Characters and Unicode

Total characters9073
Distinct characters470
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique523 ?
Unique (%)71.4%

Sample

1st row유선경 지음
2nd row요아힘 바우어 지음 ; 장윤경 옮김
3rd row여춘대 지음 ; 김낙범 옮김
4th row저스틴 토시 ; 브랜던 웜키 [공]지음 ; 김미덕 옮김
5th row고미숙 지음
ValueCountFrequency (%)
지음 564
 
20.4%
364
 
13.1%
옮김 200
 
7.2%
그림 62
 
2.2%
글 48
 
1.7%
공]지음 36
 
1.3%
글·그림 23
 
0.8%
전민희 21
 
0.8%
공]글 18
 
0.6%
김정화 15
 
0.5%
Other values (1028) 1419
51.2%
2023-12-12T21:45:15.096304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2239
24.7%
지 651
 
7.2%
음 608
 
6.7%
김 391
 
4.3%
; 364
 
4.0%
옮 202
 
2.2%
이 197
 
2.2%
정 107
 
1.2%
그 103
 
1.1%
글 97
 
1.1%
Other values (460) 4114
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6166
68.0%
Space Separator 2239
 
24.7%
Other Punctuation 431
 
4.8%
Open Punctuation 80
 
0.9%
Close Punctuation 80
 
0.9%
Uppercase Letter 52
 
0.6%
Lowercase Letter 15
 
0.2%
Math Symbol 6
 
0.1%
Decimal Number 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 651
 
10.6%
음 608
 
9.9%
김 391
 
6.3%
옮 202
 
3.3%
이 197
 
3.2%
정 107
 
1.7%
그 103
 
1.7%
글 97
 
1.6%
영 96
 
1.6%
림 89
 
1.4%
Other values (414) 3625
58.8%
Uppercase Letter
ValueCountFrequency (%)
T 9
17.3%
A 6
11.5%
N 4
 
7.7%
I 4
 
7.7%
V 3
 
5.8%
R 3
 
5.8%
B 3
 
5.8%
K 3
 
5.8%
S 3
 
5.8%
G 2
 
3.8%
Other values (9) 12
23.1%
Lowercase Letter
ValueCountFrequency (%)
v 3
20.0%
t 3
20.0%
o 2
13.3%
y 2
13.3%
m 1
 
6.7%
r 1
 
6.7%
a 1
 
6.7%
n 1
 
6.7%
d 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
; 364
84.5%
, 26
 
6.0%
· 26
 
6.0%
. 10
 
2.3%
: 5
 
1.2%
Open Punctuation
ValueCountFrequency (%)
[ 67
83.8%
( 11
 
13.8%
〈 2
 
2.5%
Close Punctuation
ValueCountFrequency (%)
] 67
83.8%
) 11
 
13.8%
〉 2
 
2.5%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
0 1
33.3%
1 1
33.3%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 3
50.0%
Space Separator
ValueCountFrequency (%)
2239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6166
68.0%
Common 2840
31.3%
Latin 67
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 651
 
10.6%
음 608
 
9.9%
김 391
 
6.3%
옮 202
 
3.3%
이 197
 
3.2%
정 107
 
1.7%
그 103
 
1.7%
글 97
 
1.6%
영 96
 
1.6%
림 89
 
1.4%
Other values (414) 3625
58.8%
Latin
ValueCountFrequency (%)
T 9
 
13.4%
A 6
 
9.0%
N 4
 
6.0%
I 4
 
6.0%
V 3
 
4.5%
v 3
 
4.5%
t 3
 
4.5%
R 3
 
4.5%
B 3
 
4.5%
K 3
 
4.5%
Other values (18) 26
38.8%
Common
ValueCountFrequency (%)
2239
78.8%
; 364
 
12.8%
[ 67
 
2.4%
] 67
 
2.4%
, 26
 
0.9%
· 26
 
0.9%
( 11
 
0.4%
) 11
 
0.4%
. 10
 
0.4%
: 5
 
0.2%
Other values (8) 14
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6166
68.0%
ASCII 2877
31.7%
None 30
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2239
77.8%
; 364
 
12.7%
[ 67
 
2.3%
] 67
 
2.3%
, 26
 
0.9%
( 11
 
0.4%
) 11
 
0.4%
. 10
 
0.3%
T 9
 
0.3%
A 6
 
0.2%
Other values (33) 67
 
2.3%
Hangul
ValueCountFrequency (%)
지 651
 
10.6%
음 608
 
9.9%
김 391
 
6.3%
옮 202
 
3.3%
이 197
 
3.2%
정 107
 
1.7%
그 103
 
1.7%
글 97
 
1.6%
영 96
 
1.6%
림 89
 
1.4%
Other values (414) 3625
58.8%
None
ValueCountFrequency (%)
· 26
86.7%
〈 2
 
6.7%
〉 2
 
6.7%

발행자
Text

Distinct379
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2023-12-12T21:45:15.390636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length5.3560709
Min length1

Characters and Unicode

Total characters3926
Distinct characters386
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

Unique262 ?
Unique (%)35.7%

Sample

1st row앤의서재
2nd row생각의나무
3rd row문원북
4th row오월의봄
5th row북드라망
ValueCountFrequency (%)
아이세움 21
 
2.5%
미래엔 20
 
2.4%
문학동네 19
 
2.3%
단꿈아이 19
 
2.3%
창비 15
 
1.8%
다산북스 13
 
1.6%
충청북도 12
 
1.5%
엘릭시스:문학동네 12
 
1.5%
미디어숲 11
 
1.3%
엘릭시르:문학동네 10
 
1.2%
Other values (385) 672
81.6%
2023-12-12T21:45:15.770087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 189
 
4.8%
북 156
 
4.0%
: 152
 
3.9%
이 138
 
3.5%
91
 
2.3%
미 80
 
2.0%
아 78
 
2.0%
문 67
 
1.7%
사 66
 
1.7%
디 53
 
1.3%
Other values (376) 2856
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3432
87.4%
Other Punctuation 153
 
3.9%
Lowercase Letter 140
 
3.6%
Space Separator 91
 
2.3%
Uppercase Letter 81
 
2.1%
Decimal Number 29
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 189
 
5.5%
북 156
 
4.5%
이 138
 
4.0%
미 80
 
2.3%
아 78
 
2.3%
문 67
 
2.0%
사 66
 
1.9%
디 53
 
1.5%
어 52
 
1.5%
동 49
 
1.4%
Other values (329) 2504
73.0%
Lowercase Letter
ValueCountFrequency (%)
o 27
19.3%
a 17
12.1%
k 14
10.0%
i 11
 
7.9%
e 10
 
7.1%
s 9
 
6.4%
t 8
 
5.7%
l 6
 
4.3%
n 5
 
3.6%
r 5
 
3.6%
Other values (13) 28
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 14
17.3%
H 12
14.8%
R 10
12.3%
K 10
12.3%
M 6
7.4%
P 6
7.4%
S 6
7.4%
C 3
 
3.7%
F 3
 
3.7%
A 2
 
2.5%
Other values (8) 9
11.1%
Decimal Number
ValueCountFrequency (%)
2 16
55.2%
1 12
41.4%
6 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
: 152
99.3%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3432
87.4%
Common 273
 
7.0%
Latin 221
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 189
 
5.5%
북 156
 
4.5%
이 138
 
4.0%
미 80
 
2.3%
아 78
 
2.3%
문 67
 
2.0%
사 66
 
1.9%
디 53
 
1.5%
어 52
 
1.5%
동 49
 
1.4%
Other values (329) 2504
73.0%
Latin
ValueCountFrequency (%)
o 27
 
12.2%
a 17
 
7.7%
B 14
 
6.3%
k 14
 
6.3%
H 12
 
5.4%
i 11
 
5.0%
e 10
 
4.5%
R 10
 
4.5%
K 10
 
4.5%
s 9
 
4.1%
Other values (31) 87
39.4%
Common
ValueCountFrequency (%)
: 152
55.7%
91
33.3%
2 16
 
5.9%
1 12
 
4.4%
6 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3432
87.4%
ASCII 494
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 189
 
5.5%
북 156
 
4.5%
이 138
 
4.0%
미 80
 
2.3%
아 78
 
2.3%
문 67
 
2.0%
사 66
 
1.9%
디 53
 
1.5%
어 52
 
1.5%
동 49
 
1.4%
Other values (329) 2504
73.0%
ASCII
ValueCountFrequency (%)
: 152
30.8%
91
18.4%
o 27
 
5.5%
a 17
 
3.4%
2 16
 
3.2%
B 14
 
2.8%
k 14
 
2.8%
H 12
 
2.4%
1 12
 
2.4%
i 11
 
2.2%
Other values (37) 128
25.9%

Interactions

2023-12-12T21:45:12.248359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:45:12.398718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:45:12.524993image/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.

Sample

번호등록번호서명저작자발행자
01EM0000051233감정 어휘 : 모호한 감정을 선명하게 밝혀 내 삶을 살게 해주는 말 공부유선경 지음앤의서재
12EM0000051234공감하는 유전자 : 삶의 방향을 바꾸는 인간의 생물학적 본성에 대하여요아힘 바우어 지음 ; 장윤경 옮김생각의나무
23EM0000051235궁통보감 : 조후용신론의 체계적 이론을 세운 명저여춘대 지음 ; 김낙범 옮김문원북
34EM0000051236그랜드스탠딩 : 도덕적 허세는 어떻게 올바름을 오용하는가저스틴 토시 ; 브랜던 웜키 [공]지음 ; 김미덕 옮김오월의봄
45EM0000051237나의 운명 사용설명서 : 사주명리학과 안티 오이디푸스고미숙 지음북드라망
56EM0000051238도파민네이션 : 쾌락 과잉 시대에서 균형 찾기애나 렘키 지음 ; 김두완 옮김흐름출판
67EM0000051239오십, 인생의 재발견 : 인생의 전환점에 선 이들을 위한 자기성찰의 심리학구자복 지음더퀘스트
78EM0000051240자평진전 : 격국용신론의 체계적 이론을 세운 명저심효첨 원저 ; 김낙범 역해문원북
89EM0000051241최재천의 공부 : 어떻게 배우며 살 것인가최재천 ; 안희경 [공]지음김영사
910EM00000512428전 8승 이시종의 비결 : 이시종 도지사 공직 50년 실록:, 오직 일로써 승부하다이시종 지음책과나무
번호등록번호서명저작자발행자
723724EM0000051956Code 612 누가 어린 왕자를 죽였는가미셸 뷔시 지음 ; 이선민 옮김HCbooks:힘찬북스
724725EM0000051957풍수전쟁 : 김진명 장편소설김진명 지음이타북스
725726EM0000051958하하 자매 떡집김리리 글 ; 김이랑 그림비룡소
726727EM0000051959흔한남매. 13흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔
727728EM0000051960(5천 년 역사가 단숨에 이해되는)최소한의 한국사최태성 지음프런트페이지
728729EM0000051961교과서가 쉬워지는 한국사여행 : 초등학생이면 꼭 가봐야 할 역사여행지 66홍수연 ; 홍연주 [공]지음길벗
729730EM0000051962둘레둘레 트레킹 : 높이 오르기보다 천천히 나아가는 자연 충전 걷기 여행김영수 지음한빛라이프
730731EM0000051963벌거벗은 세계사, 잔혹사편tvN〈벌거벗은 세계사〉제작팀 지음교보문고
731732EM0000051964(설민석의)세계사 대모험. 17, 일본 편-전국 통일을 향하여설민석 ; 김정욱 [공]글 ; 박성일 그림단꿈아이
732733EM0000051965(설민석의)한국사 대모험. 25, 정도전 편 - 이상하고 아름다운 도깨비 나라설민석 ; 스토리박스 [공]글 ; 정현희 그림단꿈아이:휴먼큐브