Overview

Dataset statistics

Number of variables5
Number of observations6822
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory273.3 KiB
Average record size in memory41.0 B

Variable types

Text3
Numeric1
DateTime1

Dataset

Description한국도로공사 도로교통연구원 소재 전자도서관 목록(도서제목, 저자, 출판사, 출판연도) 23년도 7월 기준 목록
URLhttps://www.data.go.kr/data/15045549/fileData.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 02:44:16.813515
Analysis finished2023-12-12 02:44:18.527337
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct6762
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
2023-12-12T11:44:18.824466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length48
Mean length12.89871
Min length1

Characters and Unicode

Total characters87995
Distinct characters1182
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6704 ?
Unique (%)98.3%

Sample

1st row1퍼센트 부자의 법칙
2nd rowB2B 마케팅으로 밥 먹고 살기
3rd rowK 배터리 레볼루션
4th row감옥으로부터의 사색 [제3판]
5th row강성태 66일 영어회화
ValueCountFrequency (%)
2 216
 
0.9%
1 209
 
0.9%
나는 174
 
0.7%
내 100
 
0.4%
왜 88
 
0.4%
읽는 81
 
0.3%
3 80
 
0.3%
한 76
 
0.3%
이야기 72
 
0.3%
힘 72
 
0.3%
Other values (10653) 22397
95.0%
2023-12-12T11:44:19.321546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16937
 
19.2%
의 1864
 
2.1%
이 1666
 
1.9%
는 1600
 
1.8%
다 1166
 
1.3%
기 1010
 
1.1%
리 963
 
1.1%
1 941
 
1.1%
가 927
 
1.1%
사 865
 
1.0%
Other values (1172) 60056
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61939
70.4%
Space Separator 16937
 
19.2%
Decimal Number 3584
 
4.1%
Lowercase Letter 1822
 
2.1%
Other Punctuation 1279
 
1.5%
Uppercase Letter 1156
 
1.3%
Open Punctuation 566
 
0.6%
Close Punctuation 566
 
0.6%
Dash Punctuation 94
 
0.1%
Math Symbol 24
 
< 0.1%
Other values (6) 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1864
 
3.0%
이 1666
 
2.7%
는 1600
 
2.6%
다 1166
 
1.9%
기 1010
 
1.6%
리 963
 
1.6%
가 927
 
1.5%
사 865
 
1.4%
하 857
 
1.4%
한 817
 
1.3%
Other values (1079) 50204
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 251
13.8%
o 166
 
9.1%
i 141
 
7.7%
a 137
 
7.5%
n 133
 
7.3%
t 132
 
7.2%
r 127
 
7.0%
h 115
 
6.3%
s 84
 
4.6%
l 71
 
3.9%
Other values (16) 465
25.5%
Uppercase Letter
ValueCountFrequency (%)
T 121
 
10.5%
S 109
 
9.4%
E 82
 
7.1%
A 75
 
6.5%
O 74
 
6.4%
R 63
 
5.4%
C 62
 
5.4%
P 59
 
5.1%
D 56
 
4.8%
I 53
 
4.6%
Other values (16) 402
34.8%
Other Punctuation
ValueCountFrequency (%)
. 616
48.2%
, 306
23.9%
: 209
 
16.3%
? 42
 
3.3%
! 36
 
2.8%
' 19
 
1.5%
% 16
 
1.3%
& 12
 
0.9%
· 9
 
0.7%
/ 6
 
0.5%
Other values (4) 8
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 941
26.3%
0 733
20.5%
2 708
19.8%
3 327
 
9.1%
5 235
 
6.6%
4 182
 
5.1%
6 144
 
4.0%
9 123
 
3.4%
7 101
 
2.8%
8 90
 
2.5%
Math Symbol
ValueCountFrequency (%)
~ 13
54.2%
+ 10
41.7%
| 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 552
97.5%
[ 14
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 552
97.5%
] 14
 
2.5%
Other Symbol
ValueCountFrequency (%)
℃ 1
50.0%
★ 1
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
16937
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Other Number
ValueCountFrequency (%)
② 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61936
70.4%
Common 23076
 
26.2%
Latin 2980
 
3.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1864
 
3.0%
이 1666
 
2.7%
는 1600
 
2.6%
다 1166
 
1.9%
기 1010
 
1.6%
리 963
 
1.6%
가 927
 
1.5%
사 865
 
1.4%
하 857
 
1.4%
한 817
 
1.3%
Other values (1076) 50201
81.1%
Latin
ValueCountFrequency (%)
e 251
 
8.4%
o 166
 
5.6%
i 141
 
4.7%
a 137
 
4.6%
n 133
 
4.5%
t 132
 
4.4%
r 127
 
4.3%
T 121
 
4.1%
h 115
 
3.9%
S 109
 
3.7%
Other values (44) 1548
51.9%
Common
ValueCountFrequency (%)
16937
73.4%
1 941
 
4.1%
0 733
 
3.2%
2 708
 
3.1%
. 616
 
2.7%
( 552
 
2.4%
) 552
 
2.4%
3 327
 
1.4%
, 306
 
1.3%
5 235
 
1.0%
Other values (29) 1169
 
5.1%
Han
ValueCountFrequency (%)
夷 1
33.3%
大 1
33.3%
東 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61935
70.4%
ASCII 26033
29.6%
None 10
 
< 0.1%
Punctuation 7
 
< 0.1%
CJK 3
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Number Forms 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16937
65.1%
1 941
 
3.6%
0 733
 
2.8%
2 708
 
2.7%
. 616
 
2.4%
( 552
 
2.1%
) 552
 
2.1%
3 327
 
1.3%
, 306
 
1.2%
e 251
 
1.0%
Other values (73) 4110
 
15.8%
Hangul
ValueCountFrequency (%)
의 1864
 
3.0%
이 1666
 
2.7%
는 1600
 
2.6%
다 1166
 
1.9%
기 1010
 
1.6%
리 963
 
1.6%
가 927
 
1.5%
사 865
 
1.4%
하 857
 
1.4%
한 817
 
1.3%
Other values (1075) 50200
81.1%
None
ValueCountFrequency (%)
· 9
90.0%
¿ 1
 
10.0%
Punctuation
ValueCountFrequency (%)
’ 3
42.9%
‘ 3
42.9%
… 1
 
14.3%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
100.0%
CJK
ValueCountFrequency (%)
夷 1
33.3%
大 1
33.3%
東 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자
Text

Distinct4498
Distinct (%)65.9%
Missing1
Missing (%)< 0.1%
Memory size53.4 KiB
2023-12-12T11:44:19.813169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length3
Mean length4.5978596
Min length2

Characters and Unicode

Total characters31362
Distinct characters786
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

Unique3514 ?
Unique (%)51.5%

Sample

1st row사이토 히토리
2nd row김보경
3rd row박순혁
4th row신영복
5th row강성태
ValueCountFrequency (%)
컴펜편집부 79
 
0.8%
아서 65
 
0.7%
코난 63
 
0.7%
도일 63
 
0.7%
편집부 50
 
0.5%
얼웨허 42
 
0.4%
박경리 41
 
0.4%
전동조 34
 
0.4%
존 32
 
0.3%
에이지 31
 
0.3%
Other values (5349) 8918
94.7%
2023-12-12T11:44:20.421327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2597
 
8.3%
이 1135
 
3.6%
김 843
 
2.7%
스 617
 
2.0%
정 467
 
1.5%
리 464
 
1.5%
박 390
 
1.2%
영 373
 
1.2%
시 340
 
1.1%
아 283
 
0.9%
Other values (776) 23853
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27024
86.2%
Space Separator 2597
 
8.3%
Uppercase Letter 739
 
2.4%
Lowercase Letter 642
 
2.0%
Other Punctuation 142
 
0.5%
Close Punctuation 90
 
0.3%
Open Punctuation 90
 
0.3%
Math Symbol 22
 
0.1%
Decimal Number 12
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1135
 
4.2%
김 843
 
3.1%
스 617
 
2.3%
정 467
 
1.7%
리 464
 
1.7%
박 390
 
1.4%
영 373
 
1.4%
시 340
 
1.3%
아 283
 
1.0%
지 274
 
1.0%
Other values (707) 21838
80.8%
Lowercase Letter
ValueCountFrequency (%)
e 83
12.9%
a 69
10.7%
o 67
10.4%
r 65
10.1%
n 45
 
7.0%
l 41
 
6.4%
i 39
 
6.1%
y 29
 
4.5%
t 26
 
4.0%
m 23
 
3.6%
Other values (15) 155
24.1%
Uppercase Letter
ValueCountFrequency (%)
S 82
 
11.1%
T 59
 
8.0%
B 56
 
7.6%
R 50
 
6.8%
M 47
 
6.4%
K 46
 
6.2%
A 45
 
6.1%
E 44
 
6.0%
C 36
 
4.9%
N 35
 
4.7%
Other values (15) 239
32.3%
Other Punctuation
ValueCountFrequency (%)
. 131
92.3%
& 5
 
3.5%
: 2
 
1.4%
？ 2
 
1.4%
/ 1
 
0.7%
; 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
2 3
25.0%
9 2
16.7%
0 2
16.7%
3 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 88
97.8%
〉 2
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 88
97.8%
〈 2
 
2.2%
Math Symbol
ValueCountFrequency (%)
< 11
50.0%
> 11
50.0%
Space Separator
ValueCountFrequency (%)
2597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27017
86.1%
Common 2957
 
9.4%
Latin 1381
 
4.4%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1135
 
4.2%
김 843
 
3.1%
스 617
 
2.3%
정 467
 
1.7%
리 464
 
1.7%
박 390
 
1.4%
영 373
 
1.4%
시 340
 
1.3%
아 283
 
1.0%
지 274
 
1.0%
Other values (702) 21831
80.8%
Latin
ValueCountFrequency (%)
e 83
 
6.0%
S 82
 
5.9%
a 69
 
5.0%
o 67
 
4.9%
r 65
 
4.7%
T 59
 
4.3%
B 56
 
4.1%
R 50
 
3.6%
M 47
 
3.4%
K 46
 
3.3%
Other values (40) 757
54.8%
Common
ValueCountFrequency (%)
2597
87.8%
. 131
 
4.4%
) 88
 
3.0%
( 88
 
3.0%
< 11
 
0.4%
> 11
 
0.4%
& 5
 
0.2%
1 4
 
0.1%
- 4
 
0.1%
2 3
 
0.1%
Other values (9) 15
 
0.5%
Han
ValueCountFrequency (%)
情 3
42.9%
日 1
 
14.3%
武 1
 
14.3%
島 1
 
14.3%
有 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27016
86.1%
ASCII 4332
 
13.8%
CJK 7
 
< 0.1%
None 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2597
59.9%
. 131
 
3.0%
) 88
 
2.0%
( 88
 
2.0%
e 83
 
1.9%
S 82
 
1.9%
a 69
 
1.6%
o 67
 
1.5%
r 65
 
1.5%
T 59
 
1.4%
Other values (56) 1003
 
23.2%
Hangul
ValueCountFrequency (%)
이 1135
 
4.2%
김 843
 
3.1%
스 617
 
2.3%
정 467
 
1.7%
리 464
 
1.7%
박 390
 
1.4%
영 373
 
1.4%
시 340
 
1.3%
아 283
 
1.0%
지 274
 
1.0%
Other values (701) 21830
80.8%
CJK
ValueCountFrequency (%)
情 3
42.9%
日 1
 
14.3%
武 1
 
14.3%
島 1
 
14.3%
有 1
 
14.3%
None
ValueCountFrequency (%)
〉 2
33.3%
？ 2
33.3%
〈 2
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

출판사
Text

Distinct1301
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
2023-12-12T11:44:20.804431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length4.6430665
Min length1

Characters and Unicode

Total characters31675
Distinct characters619
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

Unique575 ?
Unique (%)8.4%

Sample

1st row나비스쿨
2nd row디지털북스
3rd row지와인
4th row돌베개
5th row다산북스
ValueCountFrequency (%)
위즈덤하우스 154
 
2.2%
다산북스 102
 
1.5%
비즈니스북스 91
 
1.3%
웅진지식하우스 90
 
1.3%
알에이치코리아 85
 
1.2%
청림출판 84
 
1.2%
컴펜 79
 
1.1%
21세기북스 68
 
1.0%
원앤원북스 65
 
0.9%
피드백 56
 
0.8%
Other values (1306) 5998
87.3%
2023-12-12T11:44:21.371075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 2201
 
6.9%
북 1438
 
4.5%
이 903
 
2.9%
사 723
 
2.3%
리 502
 
1.6%
문 501
 
1.6%
아 480
 
1.5%
우 423
 
1.3%
판 420
 
1.3%
출 412
 
1.3%
Other values (609) 23672
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29751
93.9%
Uppercase Letter 741
 
2.3%
Lowercase Letter 512
 
1.6%
Decimal Number 232
 
0.7%
Close Punctuation 168
 
0.5%
Open Punctuation 168
 
0.5%
Space Separator 50
 
0.2%
Other Punctuation 48
 
0.2%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2201
 
7.4%
북 1438
 
4.8%
이 903
 
3.0%
사 723
 
2.4%
리 502
 
1.7%
문 501
 
1.7%
아 480
 
1.6%
우 423
 
1.4%
판 420
 
1.4%
출 412
 
1.4%
Other values (548) 21748
73.1%
Uppercase Letter
ValueCountFrequency (%)
O 147
19.8%
B 116
15.7%
K 71
9.6%
L 61
8.2%
I 49
 
6.6%
S 48
 
6.5%
E 39
 
5.3%
M 39
 
5.3%
W 30
 
4.0%
C 23
 
3.1%
Other values (15) 118
15.9%
Lowercase Letter
ValueCountFrequency (%)
o 80
15.6%
e 76
14.8%
r 42
8.2%
a 42
8.2%
s 32
 
6.2%
k 32
 
6.2%
t 30
 
5.9%
b 27
 
5.3%
n 25
 
4.9%
i 25
 
4.9%
Other values (11) 101
19.7%
Decimal Number
ValueCountFrequency (%)
2 87
37.5%
1 75
32.3%
3 27
 
11.6%
0 27
 
11.6%
4 7
 
3.0%
6 4
 
1.7%
5 3
 
1.3%
8 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 31
64.6%
& 17
35.4%
Close Punctuation
ValueCountFrequency (%)
) 168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 168
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29751
93.9%
Latin 1253
 
4.0%
Common 671
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2201
 
7.4%
북 1438
 
4.8%
이 903
 
3.0%
사 723
 
2.4%
리 502
 
1.7%
문 501
 
1.7%
아 480
 
1.6%
우 423
 
1.4%
판 420
 
1.4%
출 412
 
1.4%
Other values (548) 21748
73.1%
Latin
ValueCountFrequency (%)
O 147
 
11.7%
B 116
 
9.3%
o 80
 
6.4%
e 76
 
6.1%
K 71
 
5.7%
L 61
 
4.9%
I 49
 
3.9%
S 48
 
3.8%
r 42
 
3.4%
a 42
 
3.4%
Other values (36) 521
41.6%
Common
ValueCountFrequency (%)
) 168
25.0%
( 168
25.0%
2 87
13.0%
1 75
11.2%
50
 
7.5%
. 31
 
4.6%
3 27
 
4.0%
0 27
 
4.0%
& 17
 
2.5%
4 7
 
1.0%
Other values (5) 14
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29751
93.9%
ASCII 1924
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 2201
 
7.4%
북 1438
 
4.8%
이 903
 
3.0%
사 723
 
2.4%
리 502
 
1.7%
문 501
 
1.7%
아 480
 
1.6%
우 423
 
1.4%
판 420
 
1.4%
출 412
 
1.4%
Other values (548) 21748
73.1%
ASCII
ValueCountFrequency (%)
) 168
 
8.7%
( 168
 
8.7%
O 147
 
7.6%
B 116
 
6.0%
2 87
 
4.5%
o 80
 
4.2%
e 76
 
4.0%
1 75
 
3.9%
K 71
 
3.7%
L 61
 
3.2%
Other values (51) 875
45.5%

수량
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.849604
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size60.1 KiB
2023-12-12T11:44:21.521390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum1000
Range999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.54
Coefficient of variation (CV)8.3691297
Kurtosis80.343341
Mean12.849604
Median Absolute Deviation (MAD)0
Skewness9.072932
Sum87660
Variance11564.853
MonotonicityNot monotonic
2023-12-12T11:44:21.674431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6047
88.6%
2 581
 
8.5%
1000 80
 
1.2%
3 53
 
0.8%
5 48
 
0.7%
4 13
 
0.2%
ValueCountFrequency (%)
1 6047
88.6%
2 581
 
8.5%
3 53
 
0.8%
4 13
 
0.2%
5 48
 
0.7%
1000 80
 
1.2%
ValueCountFrequency (%)
1000 80
 
1.2%
5 48
 
0.7%
4 13
 
0.2%
3 53
 
0.8%
2 581
 
8.5%
1 6047
88.6%

입고일
Date

Distinct74
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size53.4 KiB
Minimum2012-10-12 00:00:00
Maximum2023-06-09 00:00:00
2023-12-12T11:44:21.868230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:44:22.069625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T11:44:18.233455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:44:22.181852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수량입고일
수량1.0000.245
입고일0.2451.000

Missing values

2023-12-12T11:44:18.339367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:44:18.469223image/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

제목저자출판사수량입고일
01퍼센트 부자의 법칙사이토 히토리나비스쿨12023-06-09
1B2B 마케팅으로 밥 먹고 살기김보경디지털북스12023-06-09
2K 배터리 레볼루션박순혁지와인12023-06-09
3감옥으로부터의 사색 [제3판]신영복돌베개22023-06-09
4강성태 66일 영어회화강성태다산북스22023-06-09
5거인의 노트김익한다산북스22023-06-09
6거인의 어깨 1홍진채포레스트북스12023-06-09
7거인의 어깨 2홍진채포레스트북스12023-06-09
8공부를 지배하는 독서법 딥코어리딩박동호지식과감성12023-06-09
9글록폴 배럿레드리버22023-06-09
제목저자출판사수량입고일
6812회사가 나를 미치게 할때 알아야 할 31가지구본형 변화경영연구소다산라이프12012-10-12
6813회사가 붙잡는 사람들의 1% 비밀신현만위즈덤하우스12012-10-12
6814회사어로 말하라김범준비즈니스북스12012-10-12
6815효소 내 몸을 살린다임성은모아북스12012-10-12
6816후계자 김정은이영종늘품플러스12012-10-12
6817후흑학신동준위즈덤하우스12012-10-12
6818희망의 날개를 찾아서소재원양문12012-10-12
6819히말라야미국히말라야재단풀로엮은집12012-10-12
6820히말라야에서 온 편지윤종수아름다운사람들12012-10-12
6821히어로이원호한결미디어12012-10-12

Duplicate rows

Most frequently occurring

제목저자출판사수량입고일# duplicates
0나를 변화시키는 좋은 습관한창욱새론북스12012-10-122
1지혜월레스 워틀스생각의나무12012-10-122