Overview

Dataset statistics

Number of variables9
Number of observations315
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.6 KiB
Average record size in memory73.4 B

Variable types

DateTime2
Numeric1
Text3
Categorical3

Dataset

Description울산항만공사 열린도서관에 소장하고 있는 오디오북 현황입니다. 오디오북 명, 출시일, 저자, 출판사 등의 정보가 포함되어 있습니다.
Author울산항만공사
URLhttps://www.data.go.kr/data/15105665/fileData.do

Alerts

데이터기준일 has constant value ""Constant
소분류 is highly overall correlated with 중분류 and 1 other fieldsHigh correlation
중분류 is highly overall correlated with 소분류 and 1 other fieldsHigh correlation
제작형태 is highly overall correlated with 중분류 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
오디오북 자료명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:31:48.174023
Analysis finished2024-03-14 19:31:50.379263
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T04:31:50.519663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:31:50.832250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

연번
Real number (ℝ)

UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158
Minimum1
Maximum315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-03-15T04:31:51.268119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.7
Q179.5
median158
Q3236.5
95-th percentile299.3
Maximum315
Range314
Interquartile range (IQR)157

Descriptive statistics

Standard deviation91.076891
Coefficient of variation (CV)0.57643602
Kurtosis-1.2
Mean158
Median Absolute Deviation (MAD)79
Skewness0
Sum49770
Variance8295
MonotonicityStrictly increasing
2024-03-15T04:31:51.581104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
209 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
208 1
 
0.3%
Other values (305) 305
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%

오디오북 자료명
Text

UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T04:31:53.085596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length13.130159
Min length2

Characters and Unicode

Total characters4136
Distinct characters532
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)100.0%

Sample

1st row인생 와인 (5. 돈이 되는 와인)
2nd row인생 와인 (4. 돈을 벌고 나서 마시는 와인)
3rd row인생 와인 (3. 돈이 궁할 때 마시는 와인)
4th row인생 와인 (2. 돈을 벌 때 마시는 와인)
5th row인생 와인 (1.돈을 벌고 싶을 때 마시는 와인)
ValueCountFrequency (%)
14
 
1.2%
낭독 13
 
1.1%
배우 13
 
1.1%
나는 11
 
0.9%
와인 10
 
0.9%
읽는 10
 
0.9%
나의 7
 
0.6%
내 7
 
0.6%
하루 6
 
0.5%
돈을 6
 
0.5%
Other values (875) 1073
91.7%
2024-03-15T04:31:55.214317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
855
 
20.7%
이 105
 
2.5%
의 91
 
2.2%
는 86
 
2.1%
다 82
 
2.0%
하 64
 
1.5%
나 49
 
1.2%
인 47
 
1.1%
지 46
 
1.1%
어 44
 
1.1%
Other values (522) 2667
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3147
76.1%
Space Separator 855
 
20.7%
Other Punctuation 40
 
1.0%
Decimal Number 30
 
0.7%
Close Punctuation 21
 
0.5%
Open Punctuation 21
 
0.5%
Uppercase Letter 14
 
0.3%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 105
 
3.3%
의 91
 
2.9%
는 86
 
2.7%
다 82
 
2.6%
하 64
 
2.0%
나 49
 
1.6%
인 47
 
1.5%
지 46
 
1.5%
어 44
 
1.4%
에 44
 
1.4%
Other values (493) 2489
79.1%
Uppercase Letter
ValueCountFrequency (%)
I 2
14.3%
T 2
14.3%
S 2
14.3%
F 1
7.1%
H 1
7.1%
E 1
7.1%
B 1
7.1%
O 1
7.1%
G 1
7.1%
P 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
0 5
16.7%
5 4
13.3%
9 4
13.3%
2 3
 
10.0%
4 3
 
10.0%
3 2
 
6.7%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 17
42.5%
: 9
22.5%
? 6
 
15.0%
. 5
 
12.5%
% 2
 
5.0%
! 1
 
2.5%
Space Separator
ValueCountFrequency (%)
855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3143
76.0%
Common 975
 
23.6%
Latin 14
 
0.3%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 105
 
3.3%
의 91
 
2.9%
는 86
 
2.7%
다 82
 
2.6%
하 64
 
2.0%
나 49
 
1.6%
인 47
 
1.5%
지 46
 
1.5%
어 44
 
1.4%
에 44
 
1.4%
Other values (489) 2485
79.1%
Common
ValueCountFrequency (%)
855
87.7%
) 21
 
2.2%
( 21
 
2.2%
, 17
 
1.7%
: 9
 
0.9%
1 8
 
0.8%
- 8
 
0.8%
? 6
 
0.6%
0 5
 
0.5%
. 5
 
0.5%
Other values (8) 20
 
2.1%
Latin
ValueCountFrequency (%)
I 2
14.3%
T 2
14.3%
S 2
14.3%
F 1
7.1%
H 1
7.1%
E 1
7.1%
B 1
7.1%
O 1
7.1%
G 1
7.1%
P 1
7.1%
Han
ValueCountFrequency (%)
仁 1
25.0%
愛 1
25.0%
白 1
25.0%
視 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3143
76.0%
ASCII 989
 
23.9%
CJK 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
855
86.5%
) 21
 
2.1%
( 21
 
2.1%
, 17
 
1.7%
: 9
 
0.9%
1 8
 
0.8%
- 8
 
0.8%
? 6
 
0.6%
0 5
 
0.5%
. 5
 
0.5%
Other values (19) 34
 
3.4%
Hangul
ValueCountFrequency (%)
이 105
 
3.3%
의 91
 
2.9%
는 86
 
2.7%
다 82
 
2.6%
하 64
 
2.0%
나 49
 
1.6%
인 47
 
1.5%
지 46
 
1.5%
어 44
 
1.4%
에 44
 
1.4%
Other values (489) 2485
79.1%
CJK
ValueCountFrequency (%)
仁 1
25.0%
愛 1
25.0%
白 1
25.0%
視 1
25.0%

출시일
Date

Distinct165
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2009-05-01 00:00:00
Maximum2023-09-19 00:00:00
2024-03-15T04:31:55.643342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:31:56.183515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

저자
Text

Distinct289
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T04:31:57.728325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length3
Mean length4.1777778
Min length2

Characters and Unicode

Total characters1316
Distinct characters287
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)85.7%

Sample

1st row크리스 배
2nd row크리스 배
3rd row크리스 배
4th row크리스 배
5th row크리스 배
ValueCountFrequency (%)
크리스 5
 
1.2%
배 5
 
1.2%
나태주 4
 
1.0%
베르나르 3
 
0.7%
베르베르 3
 
0.7%
김진명 3
 
0.7%
외 3
 
0.7%
김민식 2
 
0.5%
김우남 2
 
0.5%
이기주 2
 
0.5%
Other values (356) 372
92.1%
2024-03-15T04:31:59.521574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
6.8%
김 66
 
5.0%
이 55
 
4.2%
스 29
 
2.2%
, 29
 
2.2%
정 23
 
1.7%
박 22
 
1.7%
영 20
 
1.5%
진 20
 
1.5%
희 19
 
1.4%
Other values (277) 944
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1181
89.7%
Space Separator 89
 
6.8%
Other Punctuation 32
 
2.4%
Uppercase Letter 9
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 66
 
5.6%
이 55
 
4.7%
스 29
 
2.5%
정 23
 
1.9%
박 22
 
1.9%
영 20
 
1.7%
진 20
 
1.7%
희 19
 
1.6%
나 19
 
1.6%
주 18
 
1.5%
Other values (262) 890
75.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
F 1
11.1%
J 1
11.1%
B 1
11.1%
C 1
11.1%
G 1
11.1%
P 1
11.1%
W 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 29
90.6%
. 2
 
6.2%
/ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1181
89.7%
Common 126
 
9.6%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 66
 
5.6%
이 55
 
4.7%
스 29
 
2.5%
정 23
 
1.9%
박 22
 
1.9%
영 20
 
1.7%
진 20
 
1.7%
희 19
 
1.6%
나 19
 
1.6%
주 18
 
1.5%
Other values (262) 890
75.4%
Latin
ValueCountFrequency (%)
T 2
22.2%
F 1
11.1%
J 1
11.1%
B 1
11.1%
C 1
11.1%
G 1
11.1%
P 1
11.1%
W 1
11.1%
Common
ValueCountFrequency (%)
89
70.6%
, 29
 
23.0%
( 2
 
1.6%
) 2
 
1.6%
. 2
 
1.6%
2 1
 
0.8%
/ 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1181
89.7%
ASCII 135
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
65.9%
, 29
 
21.5%
( 2
 
1.5%
) 2
 
1.5%
. 2
 
1.5%
T 2
 
1.5%
2 1
 
0.7%
F 1
 
0.7%
J 1
 
0.7%
B 1
 
0.7%
Other values (5) 5
 
3.7%
Hangul
ValueCountFrequency (%)
김 66
 
5.6%
이 55
 
4.7%
스 29
 
2.5%
정 23
 
1.9%
박 22
 
1.9%
영 20
 
1.7%
진 20
 
1.7%
희 19
 
1.6%
나 19
 
1.6%
주 18
 
1.5%
Other values (262) 890
75.4%

출판사
Text

Distinct131
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T04:32:00.447530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.4222222
Min length1

Characters and Unicode

Total characters1393
Distinct characters206
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)22.5%

Sample

1st row파지트
2nd row파지트
3rd row파지트
4th row파지트
5th row파지트
ValueCountFrequency (%)
커뮤니케이션북스 14
 
4.4%
다산북스 10
 
3.1%
중앙북스 10
 
3.1%
오디언 9
 
2.8%
떠오름 9
 
2.8%
위즈덤하우스 9
 
2.8%
아침달 8
 
2.5%
피톤치드 8
 
2.5%
21세기북스 8
 
2.5%
원앤원북스 7
 
2.2%
Other values (124) 227
71.2%
2024-03-15T04:32:02.504570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 117
 
8.4%
북 92
 
6.6%
이 44
 
3.2%
디 35
 
2.5%
드 30
 
2.2%
다 30
 
2.2%
미 28
 
2.0%
원 25
 
1.8%
리 23
 
1.7%
오 23
 
1.7%
Other values (196) 946
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1346
96.6%
Uppercase Letter 17
 
1.2%
Decimal Number 16
 
1.1%
Lowercase Letter 6
 
0.4%
Space Separator 4
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 117
 
8.7%
북 92
 
6.8%
이 44
 
3.3%
디 35
 
2.6%
드 30
 
2.2%
다 30
 
2.2%
미 28
 
2.1%
원 25
 
1.9%
리 23
 
1.7%
오 23
 
1.7%
Other values (180) 899
66.8%
Lowercase Letter
ValueCountFrequency (%)
d 1
16.7%
n 1
16.7%
f 1
16.7%
i 1
16.7%
e 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
I 5
29.4%
S 4
23.5%
M 3
17.6%
D 3
17.6%
O 2
 
11.8%
Decimal Number
ValueCountFrequency (%)
2 8
50.0%
1 8
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1346
96.6%
Common 24
 
1.7%
Latin 23
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 117
 
8.7%
북 92
 
6.8%
이 44
 
3.3%
디 35
 
2.6%
드 30
 
2.2%
다 30
 
2.2%
미 28
 
2.1%
원 25
 
1.9%
리 23
 
1.7%
오 23
 
1.7%
Other values (180) 899
66.8%
Latin
ValueCountFrequency (%)
I 5
21.7%
S 4
17.4%
M 3
13.0%
D 3
13.0%
O 2
 
8.7%
d 1
 
4.3%
n 1
 
4.3%
f 1
 
4.3%
i 1
 
4.3%
e 1
 
4.3%
Common
ValueCountFrequency (%)
2 8
33.3%
1 8
33.3%
4
16.7%
) 2
 
8.3%
( 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1346
96.6%
ASCII 47
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 117
 
8.7%
북 92
 
6.8%
이 44
 
3.3%
디 35
 
2.6%
드 30
 
2.2%
다 30
 
2.2%
미 28
 
2.1%
원 25
 
1.9%
리 23
 
1.7%
오 23
 
1.7%
Other values (180) 899
66.8%
ASCII
ValueCountFrequency (%)
2 8
17.0%
1 8
17.0%
I 5
10.6%
4
8.5%
S 4
8.5%
M 3
 
6.4%
D 3
 
6.4%
) 2
 
4.3%
( 2
 
4.3%
O 2
 
4.3%
Other values (6) 6
12.8%

중분류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
시/에세이
63 
소설
62 
자기계발
59 
인문/사회/역사
43 
경영/경제
39 
Other values (4)
49 

Length

Max length8
Median length6
Mean length4.5079365
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
시/에세이 63
20.0%
소설 62
19.7%
자기계발 59
18.7%
인문/사회/역사 43
13.7%
경영/경제 39
12.4%
아동/청소년 24
 
7.6%
가정 20
 
6.3%
건강/실용 4
 
1.3%
강연 1
 
0.3%

Length

2024-03-15T04:32:03.034573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:32:03.423792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시/에세이 63
20.0%
소설 62
19.7%
자기계발 59
18.7%
인문/사회/역사 43
13.7%
경영/경제 39
12.4%
아동/청소년 24
 
7.6%
가정 20
 
6.3%
건강/실용 4
 
1.3%
강연 1
 
0.3%

소분류
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
에세이
51 
성공학/처세술
44 
국내소설
37 
해외소설
25 
인문
19 
Other values (21)
139 

Length

Max length7
Median length6
Mean length3.7238095
Min length1

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row성공학/처세술
2nd row성공학/처세술
3rd row성공학/처세술
4th row성공학/처세술
5th row성공학/처세술

Common Values

ValueCountFrequency (%)
에세이 51
16.2%
성공학/처세술 44
14.0%
국내소설 37
11.7%
해외소설 25
 
7.9%
인문 19
 
6.0%
삶의자세 15
 
4.8%
시 12
 
3.8%
투자/재테크 11
 
3.5%
역사 11
 
3.5%
어린이 11
 
3.5%
Other values (16) 79
25.1%

Length

2024-03-15T04:32:03.884389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에세이 51
16.2%
성공학/처세술 44
14.0%
국내소설 37
11.7%
해외소설 25
 
7.9%
인문 19
 
6.0%
삶의자세 15
 
4.8%
시 12
 
3.8%
투자/재테크 11
 
3.5%
역사 11
 
3.5%
어린이 11
 
3.5%
Other values (16) 79
25.1%

제작형태
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
요약/축약
193 
완독
112 
부분극화
 
5
드라마
 
4
강연
 
1

Length

Max length5
Median length5
Mean length3.8825397
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
요약/축약 193
61.3%
완독 112
35.6%
부분극화 5
 
1.6%
드라마 4
 
1.3%
강연 1
 
0.3%

Length

2024-03-15T04:32:04.290966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:32:04.638219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요약/축약 193
61.3%
완독 112
35.6%
부분극화 5
 
1.6%
드라마 4
 
1.3%
강연 1
 
0.3%

Interactions

2024-03-15T04:31:49.152767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:32:04.863185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중분류소분류제작형태
연번1.0000.2990.5740.544
중분류0.2991.0001.0000.775
소분류0.5741.0001.0000.851
제작형태0.5440.7750.8511.000
2024-03-15T04:32:05.121304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류제작형태중분류
소분류1.0000.5900.972
제작형태0.5901.0000.588
중분류0.9720.5881.000
2024-03-15T04:32:05.383876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번중분류소분류제작형태
연번1.0000.1400.2410.254
중분류0.1401.0000.9720.588
소분류0.2410.9721.0000.590
제작형태0.2540.5880.5901.000

Missing values

2024-03-15T04:31:49.716677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:31:50.205035image/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

데이터기준일연번오디오북 자료명출시일저자출판사중분류소분류제작형태
02023-12-311인생 와인 (5. 돈이 되는 와인)2023-09-19크리스 배파지트자기계발성공학/처세술완독
12023-12-312인생 와인 (4. 돈을 벌고 나서 마시는 와인)2023-09-19크리스 배파지트자기계발성공학/처세술완독
22023-12-313인생 와인 (3. 돈이 궁할 때 마시는 와인)2023-09-19크리스 배파지트자기계발성공학/처세술완독
32023-12-314인생 와인 (2. 돈을 벌 때 마시는 와인)2023-09-19크리스 배파지트자기계발성공학/처세술완독
42023-12-315인생 와인 (1.돈을 벌고 싶을 때 마시는 와인)2023-09-19크리스 배파지트자기계발성공학/처세술완독
52023-12-316밥보다 진심2023-09-05김재원책밥상인문/사회/역사사회완독
62023-12-317좋은 날 하자2023-08-16나태주샘터시/에세이시완독
72023-12-318탈무드가 일러주는 치유와 힐링의 시간2023-08-01주원규마리북스시/에세이에세이완독
82023-12-319사랑의 이름으로2023-07-25유경오디언소설국내소설완독
92023-12-3110무화과와 소문들2023-07-25조아영오디언소설국내소설완독
데이터기준일연번오디오북 자료명출시일저자출판사중분류소분류제작형태
3052023-12-31306요한 시집 (배우 조성하 낭독)2016-12-13장용학커뮤니케이션북스소설국내소설완독
3062023-12-31307몽기미 풍경 (배우 문소리 낭독)2016-08-05송기숙커뮤니케이션북스소설국내소설완독
3072023-12-31308오발탄 (배우 최민식 낭독)2016-08-05이범선커뮤니케이션북스소설국내소설완독
3082023-12-31309빛 속에 (배우 박건형 낭독)2016-05-17김사량커뮤니케이션북스소설국내소설완독
3092023-12-31310최상위 1%의 10분 공부법2010-01-01최병일미래와감성가정교육완독
3102023-12-31311바다 위 인공섬, 시토피아2015-09-30권오순,안희도지성사아동/청소년청소년완독
3112023-12-31312인도양에서 출발하는 바다 이름 여행2015-09-30조홍연지성사아동/청소년청소년요약/축약
3122023-12-31313동백꽃 (배우 이희준 낭독)2015-06-16김유정커뮤니케이션북스소설국내소설완독
3132023-12-31314도정 (배우 박희순 낭독)2015-04-27지하련커뮤니케이션북스소설국내소설완독
3142023-12-31315벤자민 버튼의 시간은 거꾸로 간다2009-05-01F.스콧 피츠제럴드오디언소설해외소설완독