Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells8916
Missing cells (%)14.9%
Duplicate rows811
Duplicate rows (%)8.1%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Text3
Boolean1
Categorical2

Dataset

Description대구광역시 관내 공공도서관의 연속자료(간행물) 보유 내역 데이터 입니다.서명, 출판사, 등록번호, 발행빈도, 보유도서관명 등의 항목을 포함합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15089209/fileData.do

Alerts

Dataset has 811 (8.1%) duplicate rowsDuplicates
대출가능여부 is highly overall correlated with 발행주기 and 1 other fieldsHigh correlation
발행주기 is highly overall correlated with 대출가능여부 and 1 other fieldsHigh correlation
도서관명 is highly overall correlated with 대출가능여부 and 1 other fieldsHigh correlation
대출가능여부 is highly imbalanced (95.2%)Imbalance
도서관명 is highly imbalanced (60.0%)Imbalance
등록번호 has 8916 (89.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:32:21.398693
Analysis finished2023-12-12 23:32:22.427374
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서명
Text

Distinct1466
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:32:22.622859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length179
Median length152
Mean length11.8849
Min length1

Characters and Unicode

Total characters118849
Distinct characters523
Distinct categories7 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)4.4%

Sample

1st row주간동아2014
2nd row동아일보
3rd row중앙일보
4th row이코노미스트2014
5th row영남일보
ValueCountFrequency (%)
2013 1408
 
8.1%
2012 569
 
3.3%
time 562
 
3.2%
타임 541
 
3.1%
time2013 524
 
3.0%
타임2013 524
 
3.0%
시사in2014 443
 
2.5%
뉴스위크2014 427
 
2.5%
주간동아2014 381
 
2.2%
이코노미스트2014 362
 
2.1%
Other values (2070) 11632
67.0%
2023-12-13T08:32:23.173070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10668
 
9.0%
2 9965
 
8.4%
1 9012
 
7.6%
7399
 
6.2%
E 3670
 
3.1%
3 3536
 
3.0%
I 3054
 
2.6%
스 2532
 
2.1%
4 2096
 
1.8%
T 1975
 
1.7%
Other values (513) 64942
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51125
43.0%
Decimal Number 37181
31.3%
Uppercase Letter 22950
19.3%
Space Separator 7399
 
6.2%
Lowercase Letter 181
 
0.2%
Math Symbol 7
 
< 0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2532
 
5.0%
이 1870
 
3.7%
일 1797
 
3.5%
코 1620
 
3.2%
문 1428
 
2.8%
미 1412
 
2.8%
노 1392
 
2.7%
트 1333
 
2.6%
보 1282
 
2.5%
간 1251
 
2.4%
Other values (451) 35208
68.9%
Uppercase Letter
ValueCountFrequency (%)
E 3670
16.0%
I 3054
13.3%
T 1975
8.6%
N 1711
 
7.5%
A 1682
 
7.3%
M 1677
 
7.3%
O 1433
 
6.2%
R 1295
 
5.6%
S 878
 
3.8%
L 793
 
3.5%
Other values (17) 4782
20.8%
Lowercase Letter
ValueCountFrequency (%)
o 21
11.6%
e 19
10.5%
n 18
9.9%
a 17
9.4%
i 17
9.4%
r 14
 
7.7%
l 10
 
5.5%
u 9
 
5.0%
c 9
 
5.0%
t 9
 
5.0%
Other values (11) 38
21.0%
Decimal Number
ValueCountFrequency (%)
0 10668
28.7%
2 9965
26.8%
1 9012
24.2%
3 3536
 
9.5%
4 2096
 
5.6%
8 868
 
2.3%
7 512
 
1.4%
9 500
 
1.3%
5 15
 
< 0.1%
6 9
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7399
100.0%
Math Symbol
ValueCountFrequency (%)
= 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50962
42.9%
Common 44593
37.5%
Latin 23125
19.5%
Han 154
 
0.1%
Katakana 9
 
< 0.1%
Greek 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2532
 
5.0%
이 1870
 
3.7%
일 1797
 
3.5%
코 1620
 
3.2%
문 1428
 
2.8%
미 1412
 
2.8%
노 1392
 
2.7%
트 1333
 
2.6%
보 1282
 
2.5%
간 1251
 
2.5%
Other values (393) 35045
68.8%
Han
ValueCountFrequency (%)
論 19
 
12.3%
學 16
 
10.4%
集 13
 
8.4%
文 11
 
7.1%
科 6
 
3.9%
叢 6
 
3.9%
術 6
 
3.9%
硏 5
 
3.2%
究 5
 
3.2%
敎 4
 
2.6%
Other values (43) 63
40.9%
Latin
ValueCountFrequency (%)
E 3670
15.9%
I 3054
13.2%
T 1975
 
8.5%
N 1711
 
7.4%
A 1682
 
7.3%
M 1677
 
7.3%
O 1433
 
6.2%
R 1295
 
5.6%
S 878
 
3.8%
L 793
 
3.4%
Other values (37) 4957
21.4%
Common
ValueCountFrequency (%)
0 10668
23.9%
2 9965
22.3%
1 9012
20.2%
7399
16.6%
3 3536
 
7.9%
4 2096
 
4.7%
8 868
 
1.9%
7 512
 
1.1%
9 500
 
1.1%
5 15
 
< 0.1%
Other values (4) 22
 
< 0.1%
Katakana
ValueCountFrequency (%)
フ 3
33.3%
ィ 2
22.2%
テ 2
22.2%
ラ 1
 
11.1%
イ 1
 
11.1%
Greek
ValueCountFrequency (%)
Α 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67718
57.0%
Hangul 50961
42.9%
CJK 135
 
0.1%
CJK Compat Ideographs 19
 
< 0.1%
Katakana 9
 
< 0.1%
None 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10668
15.8%
2 9965
14.7%
1 9012
13.3%
7399
10.9%
E 3670
 
5.4%
3 3536
 
5.2%
I 3054
 
4.5%
4 2096
 
3.1%
T 1975
 
2.9%
N 1711
 
2.5%
Other values (51) 14632
21.6%
Hangul
ValueCountFrequency (%)
스 2532
 
5.0%
이 1870
 
3.7%
일 1797
 
3.5%
코 1620
 
3.2%
문 1428
 
2.8%
미 1412
 
2.8%
노 1392
 
2.7%
트 1333
 
2.6%
보 1282
 
2.5%
간 1251
 
2.5%
Other values (392) 35044
68.8%
CJK Compat Ideographs
ValueCountFrequency (%)
論 19
100.0%
CJK
ValueCountFrequency (%)
學 16
 
11.9%
集 13
 
9.6%
文 11
 
8.1%
科 6
 
4.4%
叢 6
 
4.4%
術 6
 
4.4%
硏 5
 
3.7%
究 5
 
3.7%
敎 4
 
3.0%
會 3
 
2.2%
Other values (42) 60
44.4%
None
ValueCountFrequency (%)
Α 6
100.0%
Katakana
ValueCountFrequency (%)
フ 3
33.3%
ィ 2
22.2%
テ 2
22.2%
ラ 1
 
11.1%
イ 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

출판사
Text

Distinct626
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:32:23.477283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length25
Mean length6.0113
Min length1

Characters and Unicode

Total characters60113
Distinct characters448
Distinct categories5 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)1.7%

Sample

1st row동아일보사
2nd row동아일보
3rd row중앙일보
4th row중앙일보시사미디어
5th row영남일보
ValueCountFrequency (%)
timemagazine 532
 
5.3%
동아일보사 498
 
5.0%
참언론 493
 
4.9%
중앙일보시사미디어 488
 
4.9%
중앙일보사 441
 
4.4%
중앙일보시사미디어사 338
 
3.4%
조선일보 183
 
1.8%
내일신문 162
 
1.6%
매일경제신문사 151
 
1.5%
스포츠조선 139
 
1.4%
Other values (634) 6615
65.9%
2023-12-13T08:32:23.888397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 4088
 
6.8%
일 3769
 
6.3%
보 3156
 
5.3%
문 2018
 
3.4%
신 1643
 
2.7%
중 1504
 
2.5%
앙 1501
 
2.5%
E 1419
 
2.4%
디 1383
 
2.3%
I 1362
 
2.3%
Other values (438) 38270
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50374
83.8%
Uppercase Letter 9374
 
15.6%
Decimal Number 235
 
0.4%
Lowercase Letter 90
 
0.1%
Space Separator 40
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 4088
 
8.1%
일 3769
 
7.5%
보 3156
 
6.3%
문 2018
 
4.0%
신 1643
 
3.3%
중 1504
 
3.0%
앙 1501
 
3.0%
디 1383
 
2.7%
미 1329
 
2.6%
어 1317
 
2.6%
Other values (390) 28666
56.9%
Uppercase Letter
ValueCountFrequency (%)
E 1419
15.1%
I 1362
14.5%
A 1342
14.3%
M 1262
13.5%
T 719
7.7%
N 704
7.5%
G 610
6.5%
Z 559
 
6.0%
R 187
 
2.0%
L 160
 
1.7%
Other values (16) 1050
11.2%
Lowercase Letter
ValueCountFrequency (%)
e 12
13.3%
n 10
11.1%
t 10
11.1%
c 10
11.1%
s 8
8.9%
i 8
8.9%
o 6
6.7%
a 6
6.7%
m 4
 
4.4%
r 4
 
4.4%
Other values (4) 12
13.3%
Decimal Number
ValueCountFrequency (%)
2 112
47.7%
1 110
46.8%
0 4
 
1.7%
4 3
 
1.3%
3 3
 
1.3%
8 2
 
0.9%
5 1
 
0.4%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50232
83.6%
Latin 9464
 
15.7%
Common 275
 
0.5%
Han 138
 
0.2%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 4088
 
8.1%
일 3769
 
7.5%
보 3156
 
6.3%
문 2018
 
4.0%
신 1643
 
3.3%
중 1504
 
3.0%
앙 1501
 
3.0%
디 1383
 
2.8%
미 1329
 
2.6%
어 1317
 
2.6%
Other values (340) 28524
56.8%
Han
ValueCountFrequency (%)
學 21
 
15.2%
大 16
 
11.6%
韓 8
 
5.8%
國 8
 
5.8%
校 7
 
5.1%
院 5
 
3.6%
敎 5
 
3.6%
術 4
 
2.9%
會 3
 
2.2%
育 3
 
2.2%
Other values (39) 58
42.0%
Latin
ValueCountFrequency (%)
E 1419
15.0%
I 1362
14.4%
A 1342
14.2%
M 1262
13.3%
T 719
7.6%
N 704
7.4%
G 610
6.4%
Z 559
 
5.9%
R 187
 
2.0%
L 160
 
1.7%
Other values (30) 1140
12.0%
Common
ValueCountFrequency (%)
2 112
40.7%
1 110
40.0%
40
 
14.5%
0 4
 
1.5%
4 3
 
1.1%
3 3
 
1.1%
8 2
 
0.7%
5 1
 
0.4%
Hiragana
ValueCountFrequency (%)
と 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50232
83.6%
ASCII 9739
 
16.2%
CJK 136
 
0.2%
Hiragana 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 4088
 
8.1%
일 3769
 
7.5%
보 3156
 
6.3%
문 2018
 
4.0%
신 1643
 
3.3%
중 1504
 
3.0%
앙 1501
 
3.0%
디 1383
 
2.8%
미 1329
 
2.6%
어 1317
 
2.6%
Other values (340) 28524
56.8%
ASCII
ValueCountFrequency (%)
E 1419
14.6%
I 1362
14.0%
A 1342
13.8%
M 1262
13.0%
T 719
7.4%
N 704
7.2%
G 610
6.3%
Z 559
 
5.7%
R 187
 
1.9%
L 160
 
1.6%
Other values (38) 1415
14.5%
CJK
ValueCountFrequency (%)
學 21
 
15.4%
大 16
 
11.8%
韓 8
 
5.9%
國 8
 
5.9%
校 7
 
5.1%
院 5
 
3.7%
敎 5
 
3.7%
術 4
 
2.9%
會 3
 
2.2%
育 3
 
2.2%
Other values (37) 56
41.2%
Hiragana
ValueCountFrequency (%)
と 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
嶺 1
50.0%
理 1
50.0%

등록번호
Text

MISSING 

Distinct1084
Distinct (%)100.0%
Missing8916
Missing (%)89.2%
Memory size156.2 KiB
2023-12-13T08:32:24.180498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters13008
Distinct characters13
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

Unique1084 ?
Unique (%)100.0%

Sample

1st row201000001481
2nd row201100001129
3rd row201000001413
4th row201100001865
5th row201100000353
ValueCountFrequency (%)
201100000431 1
 
0.1%
201000001815 1
 
0.1%
201100000153 1
 
0.1%
201000001086 1
 
0.1%
201000001367 1
 
0.1%
201100001176 1
 
0.1%
201000000061 1
 
0.1%
200500000119 1
 
0.1%
201100001695 1
 
0.1%
201100001462 1
 
0.1%
Other values (1074) 1074
99.1%
2023-12-13T08:32:24.579029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6995
53.8%
1 2036
 
15.7%
2 1476
 
11.3%
7 374
 
2.9%
5 364
 
2.8%
9 350
 
2.7%
8 342
 
2.6%
6 329
 
2.5%
3 328
 
2.5%
4 279
 
2.1%
Other values (3) 135
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12873
99.0%
Uppercase Letter 135
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6995
54.3%
1 2036
 
15.8%
2 1476
 
11.5%
7 374
 
2.9%
5 364
 
2.8%
9 350
 
2.7%
8 342
 
2.7%
6 329
 
2.6%
3 328
 
2.5%
4 279
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 45
33.3%
M 45
33.3%
Q 45
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 12873
99.0%
Latin 135
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6995
54.3%
1 2036
 
15.8%
2 1476
 
11.5%
7 374
 
2.9%
5 364
 
2.8%
9 350
 
2.7%
8 342
 
2.7%
6 329
 
2.6%
3 328
 
2.5%
4 279
 
2.2%
Latin
ValueCountFrequency (%)
B 45
33.3%
M 45
33.3%
Q 45
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6995
53.8%
1 2036
 
15.7%
2 1476
 
11.3%
7 374
 
2.9%
5 364
 
2.8%
9 350
 
2.7%
8 342
 
2.6%
6 329
 
2.5%
3 328
 
2.5%
4 279
 
2.1%
Other values (3) 135
 
1.0%

대출가능여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9947 
True
 
53
ValueCountFrequency (%)
False 9947
99.5%
True 53
 
0.5%
2023-12-13T08:32:24.732887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발행주기
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주간
3739 
월간
3037 
일간
2685 
계간
 
156
연간
 
117
Other values (9)
 
266

Length

Max length4
Median length2
Mean length2.0212
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주간
2nd row일간
3rd row일간
4th row주간
5th row일간

Common Values

ValueCountFrequency (%)
주간 3739
37.4%
월간 3037
30.4%
일간 2685
26.9%
계간 156
 
1.6%
연간 117
 
1.2%
격월간 69
 
0.7%
격주간 61
 
0.6%
기타 57
 
0.6%
반월간 35
 
0.4%
반년간 19
 
0.2%
Other values (4) 25
 
0.2%

Length

2023-12-13T08:32:24.870306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주간 3739
37.4%
월간 3037
30.4%
일간 2685
26.9%
계간 156
 
1.6%
연간 117
 
1.2%
격월간 69
 
0.7%
격주간 61
 
0.6%
기타 57
 
0.6%
반월간 35
 
0.4%
반년간 19
 
0.2%
Other values (4) 25
 
0.2%

도서관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국채보상운동기념도서관
6595 
대구광역시립수성도서관
3100 
대구광역시립북부도서관
 
145
대구광역시립남부도서관
 
117
대구광역시립동부도서관
 
19
Other values (2)
 
24

Length

Max length11
Median length11
Mean length10.9946
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국채보상운동기념도서관
2nd row대구광역시립수성도서관
3rd row대구광역시립수성도서관
4th row국채보상운동기념도서관
5th row대구광역시립수성도서관

Common Values

ValueCountFrequency (%)
국채보상운동기념도서관 6595
66.0%
대구광역시립수성도서관 3100
31.0%
대구광역시립북부도서관 145
 
1.5%
대구광역시립남부도서관 117
 
1.2%
대구광역시립동부도서관 19
 
0.2%
북구 구수산도서관 18
 
0.2%
이천어울림도서관 6
 
0.1%

Length

2023-12-13T08:32:25.332849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:25.462783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국채보상운동기념도서관 6595
65.8%
대구광역시립수성도서관 3100
30.9%
대구광역시립북부도서관 145
 
1.4%
대구광역시립남부도서관 117
 
1.2%
대구광역시립동부도서관 19
 
0.2%
북구 18
 
0.2%
구수산도서관 18
 
0.2%
이천어울림도서관 6
 
0.1%

Correlations

2023-12-13T08:32:25.558131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출가능여부발행주기도서관명
대출가능여부1.0000.7400.497
발행주기0.7401.0000.882
도서관명0.4970.8821.000
2023-12-13T08:32:25.644219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출가능여부발행주기도서관명
대출가능여부1.0000.5930.533
발행주기0.5931.0000.539
도서관명0.5330.5391.000
2023-12-13T08:32:25.750514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출가능여부발행주기도서관명
대출가능여부1.0000.5930.533
발행주기0.5931.0000.539
도서관명0.5330.5391.000

Missing values

2023-12-13T08:32:22.248690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:32:22.363686image/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

서명출판사등록번호대출가능여부발행주기도서관명
26085주간동아2014동아일보사<NA>N주간국채보상운동기념도서관
2562동아일보동아일보<NA>N일간대구광역시립수성도서관
16037중앙일보중앙일보<NA>N일간대구광역시립수성도서관
33418이코노미스트2014중앙일보시사미디어<NA>N주간국채보상운동기념도서관
3375영남일보영남일보<NA>N일간대구광역시립수성도서관
11293문화일보문화일보<NA>N일간대구광역시립수성도서관
50575주니어07주학은미디어<NA>N월간국채보상운동기념도서관
18065학교운영위원회09주간교육신문사<NA>N월간국채보상운동기념도서관
7097한겨레신문한겨레신문<NA>N일간대구광역시립수성도서관
47454씨네212010씨네21주식회사201000001481N주간국채보상운동기념도서관
서명출판사등록번호대출가능여부발행주기도서관명
42593월간산2012 월간산 2012 월간산2013 2013조선매거진<NA>N월간국채보상운동기념도서관
13554한겨레신문한겨레신문<NA>N일간대구광역시립수성도서관
34108월간캠핑2014아웃도어글로벌<NA>N월간국채보상운동기념도서관
15573영남일보영남일보<NA>N일간대구광역시립수성도서관
35337TIME2013 TIME 2013 타임2013 타임TIMEMAGAZINE<NA>N주간국채보상운동기념도서관
8049주간조선조선일보사<NA>N주간대구광역시립수성도서관
4578동아일보동아일보<NA>N일간대구광역시립수성도서관
42794시사저널 시사저널2013 2013주시사저널미디어<NA>N주간국채보상운동기념도서관
2024경향신문경향신문<NA>N일간대구광역시립수성도서관
21302이코노미스트2013 이코노미스트 2013중앙일보시사미디어사<NA>N주간국채보상운동기념도서관

Duplicate rows

Most frequently occurring

서명출판사등록번호대출가능여부발행주기도서관명# duplicates
150TIME2013 TIME 2013 타임2013 타임TIMEMAGAZINE<NA>N주간국채보상운동기념도서관524
446시사IN2014참언론<NA>N주간국채보상운동기념도서관443
270뉴스위크2014중앙일보사<NA>N주간국채보상운동기념도서관427
674주간동아2014동아일보사<NA>N주간국채보상운동기념도서관381
604이코노미스트2014중앙일보시사미디어<NA>N주간국채보상운동기념도서관362
603이코노미스트2013 이코노미스트 2013중앙일보시사미디어사<NA>N주간국채보상운동기념도서관328
653조선일보조선일보<NA>N일간대구광역시립수성도서관152
434스포츠조선스포츠조선<NA>N일간대구광역시립수성도서관139
690중앙일보중앙일보<NA>N일간대구광역시립수성도서관136
286동아일보동아일보<NA>N일간대구광역시립수성도서관132