Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells914
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory114.0 B

Variable types

Numeric1
Categorical6
Text5
DateTime1

Dataset

Description서울특별시 강서구 전자도서관 전자책 소장 목록입니다. 제공데이터: 연번, 시군구, 도서관명, 도서관구분코드, 홈페이지, 도서명, 저자명, ISBN, 형식, 카테고리, 출판사, 표지URI, 데이터기준일
Author서울특별시 강서구
URLhttps://www.data.go.kr/data/15112683/fileData.do

Alerts

시군구 has constant value ""Constant
도서관명 has constant value ""Constant
도서관구분코드 has constant value ""Constant
홈페이지 has constant value ""Constant
형식 has constant value ""Constant
데이터기준일 has constant value ""Constant
국제표준도서번호 has 911 (9.1%) missing valuesMissing
연번 has unique valuesUnique
표지이미지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:11:33.378245
Analysis finished2023-12-12 19:11:36.458635
Duration3.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7873.0967
Minimum2
Maximum15816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:11:36.546427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile772.9
Q13915.5
median7864.5
Q311796.5
95-th percentile15031.2
Maximum15816
Range15814
Interquartile range (IQR)7881

Descriptive statistics

Standard deviation4564.9776
Coefficient of variation (CV)0.57981983
Kurtosis-1.193367
Mean7873.0967
Median Absolute Deviation (MAD)3941
Skewness0.010647379
Sum78730967
Variance20839021
MonotonicityNot monotonic
2023-12-13T04:11:36.719605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9994 1
 
< 0.1%
13887 1
 
< 0.1%
10235 1
 
< 0.1%
5216 1
 
< 0.1%
14498 1
 
< 0.1%
12584 1
 
< 0.1%
8648 1
 
< 0.1%
9010 1
 
< 0.1%
11813 1
 
< 0.1%
12630 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
15816 1
< 0.1%
15814 1
< 0.1%
15811 1
< 0.1%
15808 1
< 0.1%
15807 1
< 0.1%
15806 1
< 0.1%
15804 1
< 0.1%
15803 1
< 0.1%
15802 1
< 0.1%
15801 1
< 0.1%

시군구
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강서구
2nd row서울특별시 강서구
3rd row서울특별시 강서구
4th row서울특별시 강서구
5th row서울특별시 강서구

Common Values

ValueCountFrequency (%)
서울특별시 강서구 10000
100.0%

Length

2023-12-13T04:11:36.895947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:37.245042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 10000
50.0%
강서구 10000
50.0%

도서관명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서구전자도서관 10000
100.0%

Length

2023-12-13T04:11:37.367428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:37.489034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서구전자도서관 10000
100.0%

도서관구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
37
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37
2nd row37
3rd row37
4th row37
5th row37

Common Values

ValueCountFrequency (%)
37 10000
100.0%

Length

2023-12-13T04:11:37.614903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:37.764213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37 10000
100.0%

홈페이지
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
http://ebook.gangseo.seoul.kr
10000 

Length

Max length29
Median length29
Mean length29
Min length29

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://ebook.gangseo.seoul.kr
2nd rowhttp://ebook.gangseo.seoul.kr
3rd rowhttp://ebook.gangseo.seoul.kr
4th rowhttp://ebook.gangseo.seoul.kr
5th rowhttp://ebook.gangseo.seoul.kr

Common Values

ValueCountFrequency (%)
http://ebook.gangseo.seoul.kr 10000
100.0%

Length

2023-12-13T04:11:37.903177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:38.030362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://ebook.gangseo.seoul.kr 10000
100.0%

도서명
Text

Distinct9888
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:11:38.499854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length65
Mean length14.4323
Min length1

Characters and Unicode

Total characters144323
Distinct characters1377
Distinct categories16 ?
Distinct scripts6 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9789 ?
Unique (%)97.9%

Sample

1st row다 가져도 모자란다고? - 어린이를 위한 가치관 동화 12 욕심
2nd row[단독] 잘해주고 욕먹는 당신에게
3rd row삼국유사
4th row백세치아
5th row편지 할머니
ValueCountFrequency (%)
1045
 
2.7%
읽는 287
 
0.7%
1 249
 
0.6%
이야기 244
 
0.6%
2 244
 
0.6%
나는 227
 
0.6%
위한 220
 
0.6%
영어로 214
 
0.5%
영어 210
 
0.5%
세계문학 186
 
0.5%
Other values (15156) 36015
92.0%
2023-12-13T04:11:39.190650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29219
 
20.2%
이 2792
 
1.9%
는 2396
 
1.7%
의 2249
 
1.6%
어 1985
 
1.4%
다 1515
 
1.0%
기 1506
 
1.0%
한 1356
 
0.9%
리 1332
 
0.9%
사 1226
 
0.8%
Other values (1367) 98747
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95853
66.4%
Space Separator 29219
 
20.2%
Lowercase Letter 6958
 
4.8%
Decimal Number 5332
 
3.7%
Uppercase Letter 2980
 
2.1%
Other Punctuation 1668
 
1.2%
Dash Punctuation 954
 
0.7%
Open Punctuation 626
 
0.4%
Close Punctuation 609
 
0.4%
Math Symbol 82
 
0.1%
Other values (6) 42
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2792
 
2.9%
는 2396
 
2.5%
의 2249
 
2.3%
어 1985
 
2.1%
다 1515
 
1.6%
기 1506
 
1.6%
한 1356
 
1.4%
리 1332
 
1.4%
사 1226
 
1.3%
아 1217
 
1.3%
Other values (1267) 78279
81.7%
Lowercase Letter
ValueCountFrequency (%)
e 1010
14.5%
a 571
 
8.2%
o 565
 
8.1%
n 531
 
7.6%
i 498
 
7.2%
t 471
 
6.8%
s 444
 
6.4%
r 435
 
6.3%
h 364
 
5.2%
d 336
 
4.8%
Other values (17) 1733
24.9%
Uppercase Letter
ValueCountFrequency (%)
T 301
 
10.1%
E 255
 
8.6%
S 247
 
8.3%
A 212
 
7.1%
L 170
 
5.7%
I 157
 
5.3%
C 153
 
5.1%
O 142
 
4.8%
P 142
 
4.8%
R 127
 
4.3%
Other values (16) 1074
36.0%
Other Punctuation
ValueCountFrequency (%)
, 712
42.7%
! 286
17.1%
? 273
 
16.4%
. 127
 
7.6%
: 118
 
7.1%
· 53
 
3.2%
& 42
 
2.5%
' 17
 
1.0%
% 14
 
0.8%
/ 12
 
0.7%
Other values (4) 14
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 1196
22.4%
0 1186
22.2%
2 828
15.5%
3 546
10.2%
5 373
 
7.0%
4 341
 
6.4%
6 253
 
4.7%
7 221
 
4.1%
9 210
 
3.9%
8 178
 
3.3%
Math Symbol
ValueCountFrequency (%)
+ 55
67.1%
~ 18
 
22.0%
＋ 6
 
7.3%
< 1
 
1.2%
> 1
 
1.2%
= 1
 
1.2%
Other Symbol
ValueCountFrequency (%)
ⓔ 2
40.0%
◆ 2
40.0%
℃ 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 547
87.4%
[ 79
 
12.6%
Close Punctuation
ValueCountFrequency (%)
) 530
87.0%
] 79
 
13.0%
Final Punctuation
ValueCountFrequency (%)
’ 18
90.0%
” 2
 
10.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
50.0%
“ 2
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
29219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 954
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95760
66.4%
Common 38529
26.7%
Latin 9940
 
6.9%
Han 87
 
0.1%
Hiragana 6
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2792
 
2.9%
는 2396
 
2.5%
의 2249
 
2.3%
어 1985
 
2.1%
다 1515
 
1.6%
기 1506
 
1.6%
한 1356
 
1.4%
리 1332
 
1.4%
사 1226
 
1.3%
아 1217
 
1.3%
Other values (1191) 78186
81.6%
Han
ValueCountFrequency (%)
日 4
 
4.6%
傳 3
 
3.4%
神 3
 
3.4%
知 2
 
2.3%
選 2
 
2.3%
美 2
 
2.3%
夢 2
 
2.3%
海 2
 
2.3%
花 2
 
2.3%
月 2
 
2.3%
Other values (61) 63
72.4%
Latin
ValueCountFrequency (%)
e 1010
 
10.2%
a 571
 
5.7%
o 565
 
5.7%
n 531
 
5.3%
i 498
 
5.0%
t 471
 
4.7%
s 444
 
4.5%
r 435
 
4.4%
h 364
 
3.7%
d 336
 
3.4%
Other values (44) 4715
47.4%
Common
ValueCountFrequency (%)
29219
75.8%
1 1196
 
3.1%
0 1186
 
3.1%
- 954
 
2.5%
2 828
 
2.1%
, 712
 
1.8%
( 547
 
1.4%
3 546
 
1.4%
) 530
 
1.4%
5 373
 
1.0%
Other values (35) 2438
 
6.3%
Hiragana
ValueCountFrequency (%)
ん 2
33.3%
ゃ 1
16.7%
ず 1
16.7%
き 1
16.7%
ち 1
16.7%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95747
66.3%
ASCII 48367
33.5%
CJK 84
 
0.1%
None 67
 
< 0.1%
Punctuation 27
 
< 0.1%
Compat Jamo 13
 
< 0.1%
Hiragana 6
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29219
60.4%
1 1196
 
2.5%
0 1186
 
2.5%
e 1010
 
2.1%
- 954
 
2.0%
2 828
 
1.7%
, 712
 
1.5%
a 571
 
1.2%
o 565
 
1.2%
( 547
 
1.1%
Other values (74) 11579
 
23.9%
Hangul
ValueCountFrequency (%)
이 2792
 
2.9%
는 2396
 
2.5%
의 2249
 
2.3%
어 1985
 
2.1%
다 1515
 
1.6%
기 1506
 
1.6%
한 1356
 
1.4%
리 1332
 
1.4%
사 1226
 
1.3%
아 1217
 
1.3%
Other values (1187) 78173
81.6%
None
ValueCountFrequency (%)
· 53
79.1%
＋ 6
 
9.0%
％ 6
 
9.0%
＆ 1
 
1.5%
α 1
 
1.5%
Punctuation
ValueCountFrequency (%)
’ 18
66.7%
… 3
 
11.1%
‘ 2
 
7.4%
“ 2
 
7.4%
” 2
 
7.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
69.2%
ㅇ 2
 
15.4%
ㅅ 1
 
7.7%
ㅁ 1
 
7.7%
CJK
ValueCountFrequency (%)
日 4
 
4.8%
傳 3
 
3.6%
神 3
 
3.6%
知 2
 
2.4%
選 2
 
2.4%
美 2
 
2.4%
夢 2
 
2.4%
海 2
 
2.4%
花 2
 
2.4%
月 2
 
2.4%
Other values (58) 60
71.4%
Hiragana
ValueCountFrequency (%)
ん 2
33.3%
ゃ 1
16.7%
ず 1
16.7%
き 1
16.7%
ち 1
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
66.7%
② 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
◆ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
33.3%
歷 1
33.3%
冷 1
33.3%

저자명
Text

Distinct7731
Distinct (%)77.3%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T04:11:39.523783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length74
Mean length14.004401
Min length2

Characters and Unicode

Total characters140002
Distinct characters991
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6713 ?
Unique (%)67.2%

Sample

1st row<김은의> 글/<이종균> 그림
2nd row<오시마 노부요리> 저/<이건우> 역
3rd row<편집부> 저
4th row<김문섭> 저
5th row<이상배> 글/<김도아> 그림
ValueCountFrequency (%)
저 5541
 
18.7%
역 2182
 
7.4%
그림 1046
 
3.5%
공저 372
 
1.3%
감수 252
 
0.9%
128
 
0.4%
글 118
 
0.4%
글그림 111
 
0.4%
편집부 89
 
0.3%
편 78
 
0.3%
Other values (11019) 19715
66.5%
2023-12-13T04:11:39.971351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20084
 
14.3%
< 15618
 
11.2%
> 15618
 
11.2%
저 8276
 
5.9%
/ 4356
 
3.1%
이 2735
 
2.0%
역 2454
 
1.8%
김 2164
 
1.5%
그 1851
 
1.3%
림 1813
 
1.3%
Other values (981) 65033
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78100
55.8%
Math Symbol 31242
22.3%
Space Separator 20084
 
14.3%
Other Punctuation 6279
 
4.5%
Lowercase Letter 2539
 
1.8%
Uppercase Letter 1321
 
0.9%
Open Punctuation 166
 
0.1%
Close Punctuation 165
 
0.1%
Decimal Number 71
 
0.1%
Dash Punctuation 21
 
< 0.1%
Other values (3) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
저 8276
 
10.6%
이 2735
 
3.5%
역 2454
 
3.1%
김 2164
 
2.8%
그 1851
 
2.4%
림 1813
 
2.3%
글 1715
 
2.2%
스 1449
 
1.9%
정 1344
 
1.7%
리 1132
 
1.4%
Other values (895) 53167
68.1%
Lowercase Letter
ValueCountFrequency (%)
a 338
13.3%
e 302
11.9%
r 230
9.1%
i 222
 
8.7%
n 181
 
7.1%
o 166
 
6.5%
h 142
 
5.6%
l 138
 
5.4%
t 136
 
5.4%
u 120
 
4.7%
Other values (15) 564
22.2%
Uppercase Letter
ValueCountFrequency (%)
S 140
 
10.6%
B 124
 
9.4%
E 100
 
7.6%
M 93
 
7.0%
K 86
 
6.5%
C 84
 
6.4%
A 75
 
5.7%
J 66
 
5.0%
T 66
 
5.0%
P 62
 
4.7%
Other values (15) 425
32.2%
Other Punctuation
ValueCountFrequency (%)
/ 4356
69.4%
, 1639
 
26.1%
. 228
 
3.6%
& 21
 
0.3%
: 10
 
0.2%
· 9
 
0.1%
? 9
 
0.1%
\ 3
 
< 0.1%
; 3
 
< 0.1%
* 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 37
52.1%
0 7
 
9.9%
1 7
 
9.9%
3 5
 
7.0%
9 5
 
7.0%
7 4
 
5.6%
5 3
 
4.2%
4 1
 
1.4%
8 1
 
1.4%
6 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
< 15618
50.0%
> 15618
50.0%
| 6
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 155
93.4%
[ 9
 
5.4%
〈 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 154
93.3%
] 9
 
5.5%
〉 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
ⓔ 5
62.5%
㈜ 2
 
25.0%
│ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
20084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78051
55.7%
Common 58040
41.5%
Latin 3860
 
2.8%
Han 51
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
저 8276
 
10.6%
이 2735
 
3.5%
역 2454
 
3.1%
김 2164
 
2.8%
그 1851
 
2.4%
림 1813
 
2.3%
글 1715
 
2.2%
스 1449
 
1.9%
정 1344
 
1.7%
리 1132
 
1.5%
Other values (854) 53118
68.1%
Latin
ValueCountFrequency (%)
a 338
 
8.8%
e 302
 
7.8%
r 230
 
6.0%
i 222
 
5.8%
n 181
 
4.7%
o 166
 
4.3%
h 142
 
3.7%
S 140
 
3.6%
l 138
 
3.6%
t 136
 
3.5%
Other values (40) 1865
48.3%
Han
ValueCountFrequency (%)
者 3
 
5.9%
人 3
 
5.9%
作 3
 
5.9%
不 2
 
3.9%
李 2
 
3.9%
仁 2
 
3.9%
石 1
 
2.0%
漱 1
 
2.0%
夏 1
 
2.0%
目 1
 
2.0%
Other values (32) 32
62.7%
Common
ValueCountFrequency (%)
20084
34.6%
< 15618
26.9%
> 15618
26.9%
/ 4356
 
7.5%
, 1639
 
2.8%
. 228
 
0.4%
( 155
 
0.3%
) 154
 
0.3%
2 37
 
0.1%
- 21
 
< 0.1%
Other values (25) 130
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78047
55.7%
ASCII 61875
44.2%
CJK 51
 
< 0.1%
None 15
 
< 0.1%
Punctuation 6
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20084
32.5%
< 15618
25.2%
> 15618
25.2%
/ 4356
 
7.0%
, 1639
 
2.6%
a 338
 
0.5%
e 302
 
0.5%
r 230
 
0.4%
. 228
 
0.4%
i 222
 
0.4%
Other values (68) 3240
 
5.2%
Hangul
ValueCountFrequency (%)
저 8276
 
10.6%
이 2735
 
3.5%
역 2454
 
3.1%
김 2164
 
2.8%
그 1851
 
2.4%
림 1813
 
2.3%
글 1715
 
2.2%
스 1449
 
1.9%
정 1344
 
1.7%
리 1132
 
1.5%
Other values (852) 53114
68.1%
None
ValueCountFrequency (%)
· 9
60.0%
〈 2
 
13.3%
㈜ 2
 
13.3%
〉 2
 
13.3%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 5
100.0%
CJK
ValueCountFrequency (%)
者 3
 
5.9%
人 3
 
5.9%
作 3
 
5.9%
不 2
 
3.9%
李 2
 
3.9%
仁 2
 
3.9%
石 1
 
2.0%
漱 1
 
2.0%
夏 1
 
2.0%
目 1
 
2.0%
Other values (32) 32
62.7%
Punctuation
ValueCountFrequency (%)
’ 3
50.0%
‘ 3
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 2
100.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%

국제표준도서번호
Text

MISSING 

Distinct2722
Distinct (%)29.9%
Missing911
Missing (%)9.1%
Memory size156.2 KiB
2023-12-13T04:11:40.237912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9895478
Min length1

Characters and Unicode

Total characters90795
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1201 ?
Unique (%)13.2%

Sample

1st row9788968303
2nd row9791156758
3rd row9791155612
4th row9791157852
5th row9788971848
ValueCountFrequency (%)
9791155833 63
 
0.7%
9791155832 59
 
0.7%
9788968450 41
 
0.5%
9788927757 39
 
0.4%
9788927758 31
 
0.3%
9788997239 30
 
0.3%
9791185197 28
 
0.3%
9788957985 27
 
0.3%
9791155831 26
 
0.3%
9788925584 26
 
0.3%
Other values (2711) 8678
95.9%
2023-12-13T04:11:40.630905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 22995
25.3%
7 13561
14.9%
8 13503
14.9%
1 12882
14.2%
5 5834
 
6.4%
6 5791
 
6.4%
0 4750
 
5.2%
2 4152
 
4.6%
3 3720
 
4.1%
4 3187
 
3.5%
Other values (4) 420
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90375
99.5%
Space Separator 410
 
0.5%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 22995
25.4%
7 13561
15.0%
8 13503
14.9%
1 12882
14.3%
5 5834
 
6.5%
6 5791
 
6.4%
0 4750
 
5.3%
2 4152
 
4.6%
3 3720
 
4.1%
4 3187
 
3.5%
Space Separator
ValueCountFrequency (%)
410
100.0%
Other Punctuation
ValueCountFrequency (%)
\ 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90791
> 99.9%
Latin 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 22995
25.3%
7 13561
14.9%
8 13503
14.9%
1 12882
14.2%
5 5834
 
6.4%
6 5791
 
6.4%
0 4750
 
5.2%
2 4152
 
4.6%
3 3720
 
4.1%
4 3187
 
3.5%
Other values (3) 416
 
0.5%
Latin
ValueCountFrequency (%)
N 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 22995
25.3%
7 13561
14.9%
8 13503
14.9%
1 12882
14.2%
5 5834
 
6.4%
6 5791
 
6.4%
0 4750
 
5.2%
2 4152
 
4.6%
3 3720
 
4.1%
4 3187
 
3.5%
Other values (4) 420
 
0.5%

형식
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자책 10000
100.0%

Length

2023-12-13T04:11:40.772892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:11:40.855947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자책 10000
100.0%

카테고리
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유아/어린이/청소년
3293 
문학
1773 
국어와외국어
1129 
인문/사회
1022 
자기관리
834 
Other values (9)
1949 

Length

Max length10
Median length7
Mean length6.3389
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row유아/어린이/청소년
2nd row자기관리
3rd row유아/어린이/청소년
4th row가정과생활
5th row유아/어린이/청소년

Common Values

ValueCountFrequency (%)
유아/어린이/청소년 3293
32.9%
문학 1773
17.7%
국어와외국어 1129
 
11.3%
인문/사회 1022
 
10.2%
자기관리 834
 
8.3%
비즈니스와경제 785
 
7.8%
가정과생활 718
 
7.2%
자연과과학 160
 
1.6%
예술/대중문화 120
 
1.2%
컴퓨터와인터넷 109
 
1.1%
Other values (4) 57
 
0.6%

Length

2023-12-13T04:11:40.969669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유아/어린이/청소년 3293
32.9%
문학 1773
17.7%
국어와외국어 1129
 
11.3%
인문/사회 1022
 
10.2%
자기관리 834
 
8.3%
비즈니스와경제 785
 
7.8%
가정과생활 718
 
7.2%
자연과과학 160
 
1.6%
예술/대중문화 120
 
1.2%
컴퓨터와인터넷 109
 
1.1%
Other values (4) 57
 
0.6%

출판사
Text

Distinct1422
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:11:41.197900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length5.0422
Min length1

Characters and Unicode

Total characters50422
Distinct characters653
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique581 ?
Unique (%)5.8%

Sample

1st row개암나무
2nd row푸른숲
3rd row해성이앤피
4th row메이드마인드
5th row키다리
ValueCountFrequency (%)
위즈덤하우스 181
 
1.8%
내츄럴 179
 
1.8%
풀빛 143
 
1.4%
알에이치코리아(rhk 132
 
1.3%
자음과모음 124
 
1.2%
다락원 108
 
1.1%
21세기북스 107
 
1.0%
다산북스 89
 
0.9%
열린책들 87
 
0.9%
푸른책들 85
 
0.8%
Other values (1443) 8956
87.9%
2023-12-13T04:11:41.547248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 2671
 
5.3%
북 1977
 
3.9%
이 1576
 
3.1%
) 919
 
1.8%
( 919
 
1.8%
사 830
 
1.6%
아 757
 
1.5%
리 743
 
1.5%
책 637
 
1.3%
어 608
 
1.2%
Other values (643) 38785
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43132
85.5%
Lowercase Letter 2619
 
5.2%
Uppercase Letter 2004
 
4.0%
Close Punctuation 919
 
1.8%
Open Punctuation 919
 
1.8%
Decimal Number 489
 
1.0%
Space Separator 204
 
0.4%
Other Punctuation 126
 
0.2%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2671
 
6.2%
북 1977
 
4.6%
이 1576
 
3.7%
사 830
 
1.9%
아 757
 
1.8%
리 743
 
1.7%
책 637
 
1.5%
어 608
 
1.4%
다 581
 
1.3%
미 528
 
1.2%
Other values (578) 32224
74.7%
Lowercase Letter
ValueCountFrequency (%)
o 491
18.7%
e 224
8.6%
s 223
8.5%
i 205
 
7.8%
k 197
 
7.5%
a 169
 
6.5%
b 166
 
6.3%
l 159
 
6.1%
n 151
 
5.8%
m 116
 
4.4%
Other values (15) 518
19.8%
Uppercase Letter
ValueCountFrequency (%)
R 230
11.5%
K 224
11.2%
H 183
 
9.1%
B 155
 
7.7%
O 150
 
7.5%
L 143
 
7.1%
E 108
 
5.4%
C 106
 
5.3%
S 98
 
4.9%
A 94
 
4.7%
Other values (14) 513
25.6%
Decimal Number
ValueCountFrequency (%)
2 186
38.0%
1 171
35.0%
3 42
 
8.6%
0 27
 
5.5%
6 25
 
5.1%
5 24
 
4.9%
4 13
 
2.7%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 50
39.7%
# 38
30.2%
& 37
29.4%
: 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 919
100.0%
Open Punctuation
ValueCountFrequency (%)
( 919
100.0%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43127
85.5%
Latin 4623
 
9.2%
Common 2667
 
5.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2671
 
6.2%
북 1977
 
4.6%
이 1576
 
3.7%
사 830
 
1.9%
아 757
 
1.8%
리 743
 
1.7%
책 637
 
1.5%
어 608
 
1.4%
다 581
 
1.3%
미 528
 
1.2%
Other values (574) 32219
74.7%
Latin
ValueCountFrequency (%)
o 491
 
10.6%
R 230
 
5.0%
e 224
 
4.8%
K 224
 
4.8%
s 223
 
4.8%
i 205
 
4.4%
k 197
 
4.3%
H 183
 
4.0%
a 169
 
3.7%
b 166
 
3.6%
Other values (39) 2311
50.0%
Common
ValueCountFrequency (%)
) 919
34.5%
( 919
34.5%
204
 
7.6%
2 186
 
7.0%
1 171
 
6.4%
. 50
 
1.9%
3 42
 
1.6%
# 38
 
1.4%
& 37
 
1.4%
0 27
 
1.0%
Other values (6) 74
 
2.8%
Han
ValueCountFrequency (%)
休 2
40.0%
知 1
20.0%
利 1
20.0%
世 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43127
85.5%
ASCII 7290
 
14.5%
CJK 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 2671
 
6.2%
북 1977
 
4.6%
이 1576
 
3.7%
사 830
 
1.9%
아 757
 
1.8%
리 743
 
1.7%
책 637
 
1.5%
어 608
 
1.4%
다 581
 
1.3%
미 528
 
1.2%
Other values (574) 32219
74.7%
ASCII
ValueCountFrequency (%)
) 919
 
12.6%
( 919
 
12.6%
o 491
 
6.7%
R 230
 
3.2%
e 224
 
3.1%
K 224
 
3.1%
s 223
 
3.1%
i 205
 
2.8%
204
 
2.8%
k 197
 
2.7%
Other values (55) 3454
47.4%
CJK
ValueCountFrequency (%)
休 2
50.0%
知 1
25.0%
世 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
利 1
100.0%

표지이미지주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:11:41.785571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length58
Mean length58.2831
Min length55

Characters and Unicode

Total characters582831
Distinct characters41
Distinct categories8 ?
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 rowhttps://ebook.gangseo.seoul.kr/images/bookimg/M_589753.jpg
2nd rowhttps://ebook.gangseo.seoul.kr/images/bookimg/M_1196019.jpg
3rd rowhttps://ebook.gangseo.seoul.kr/images/bookimg/M_857502.jpg
4th rowhttps://ebook.gangseo.seoul.kr/images/bookimg/M_700181.jpg
5th rowhttps://ebook.gangseo.seoul.kr/images/bookimg/206251073.jpg
ValueCountFrequency (%)
https://ebook.gangseo.seoul.kr/images/bookimg/m_589753.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/105146293.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/m_372168.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/242104083.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/m_1062033.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/m_193907.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/l_1285665.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/107028373.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/m_375869.jpg 1
 
< 0.1%
https://ebook.gangseo.seoul.kr/images/bookimg/l_1268732.jpg 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T04:11:42.128765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 60000
 
10.3%
/ 50000
 
8.6%
g 49984
 
8.6%
e 40002
 
6.9%
s 40000
 
6.9%
. 40000
 
6.9%
k 30000
 
5.1%
b 20002
 
3.4%
a 20001
 
3.4%
t 20000
 
3.4%
Other values (31) 212842
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 399962
68.6%
Other Punctuation 100000
 
17.2%
Decimal Number 67305
 
11.5%
Uppercase Letter 7749
 
1.3%
Connector Punctuation 7701
 
1.3%
Open Punctuation 55
 
< 0.1%
Close Punctuation 55
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 60000
15.0%
g 49984
12.5%
e 40002
10.0%
s 40000
10.0%
k 30000
 
7.5%
b 20002
 
5.0%
a 20001
 
5.0%
t 20000
 
5.0%
m 20000
 
5.0%
i 20000
 
5.0%
Other values (9) 79973
20.0%
Decimal Number
ValueCountFrequency (%)
1 8842
13.1%
2 8238
12.2%
3 7223
10.7%
4 6560
9.7%
9 6410
9.5%
5 6057
9.0%
8 6037
9.0%
0 6004
8.9%
7 5986
8.9%
6 5948
8.8%
Uppercase Letter
ValueCountFrequency (%)
M 6669
86.1%
L 1032
 
13.3%
J 16
 
0.2%
P 16
 
0.2%
G 16
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 50000
50.0%
. 40000
40.0%
: 10000
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7701
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 407711
70.0%
Common 175120
30.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 60000
14.7%
g 49984
12.3%
e 40002
9.8%
s 40000
9.8%
k 30000
 
7.4%
b 20002
 
4.9%
a 20001
 
4.9%
t 20000
 
4.9%
m 20000
 
4.9%
i 20000
 
4.9%
Other values (14) 87722
21.5%
Common
ValueCountFrequency (%)
/ 50000
28.6%
. 40000
22.8%
: 10000
 
5.7%
1 8842
 
5.0%
2 8238
 
4.7%
_ 7701
 
4.4%
3 7223
 
4.1%
4 6560
 
3.7%
9 6410
 
3.7%
5 6057
 
3.5%
Other values (7) 24089
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 582831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 60000
 
10.3%
/ 50000
 
8.6%
g 49984
 
8.6%
e 40002
 
6.9%
s 40000
 
6.9%
. 40000
 
6.9%
k 30000
 
5.1%
b 20002
 
3.4%
a 20001
 
3.4%
t 20000
 
3.4%
Other values (31) 212842
36.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-03-08 00:00:00
Maximum2023-03-08 00:00:00
2023-12-13T04:11:42.233278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:11:42.309645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:11:35.715178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:11:42.365236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번카테고리
연번1.0000.259
카테고리0.2591.000
2023-12-13T04:11:42.436152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번카테고리
연번1.0000.107
카테고리0.1071.000

Missing values

2023-12-13T04:11:35.924464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:11:36.186161image/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.
2023-12-13T04:11:36.365740image/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

연번시군구도서관명도서관구분코드홈페이지도서명저자명국제표준도서번호형식카테고리출판사표지이미지주소데이터기준일
99939994서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr다 가져도 모자란다고? - 어린이를 위한 가치관 동화 12 욕심<김은의> 글/<이종균> 그림9788968303전자책유아/어린이/청소년개암나무https://ebook.gangseo.seoul.kr/images/bookimg/M_589753.jpg2023-03-08
1260412605서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr[단독] 잘해주고 욕먹는 당신에게<오시마 노부요리> 저/<이건우> 역9791156758전자책자기관리푸른숲https://ebook.gangseo.seoul.kr/images/bookimg/M_1196019.jpg2023-03-08
95669567서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr삼국유사<편집부> 저9791155612전자책유아/어린이/청소년해성이앤피https://ebook.gangseo.seoul.kr/images/bookimg/M_857502.jpg2023-03-08
66776678서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr백세치아<김문섭> 저<NA>전자책가정과생활메이드마인드https://ebook.gangseo.seoul.kr/images/bookimg/M_700181.jpg2023-03-08
1050810509서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr편지 할머니<이상배> 글/<김도아> 그림9791157852전자책유아/어린이/청소년키다리https://ebook.gangseo.seoul.kr/images/bookimg/206251073.jpg2023-03-08
57405741서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr죽기 전에 논어를 읽으며 장자를 꿈꾸고 맹자를 배워라 2<김세중> 편저<NA>전자책인문/사회스타북스https://ebook.gangseo.seoul.kr/images/bookimg/M_114039.jpg2023-03-08
61486149서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr나를 찾아줘<길리언 플린> 저/<강선재> 역9788971848전자책문학푸른숲https://ebook.gangseo.seoul.kr/images/bookimg/24141086.jpg2023-03-08
1138211383서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr바디 : 우리 몸 안내서<빌 브라이슨> 저/<이한음> 역9788972917전자책자연과과학까치(까치글방)https://ebook.gangseo.seoul.kr/images/bookimg/M_1132692.jpg2023-03-08
1065410655서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr내 몸 살리는 시기별 해독전략<강신용> 저9798976963전자책가정과생활가회동https://ebook.gangseo.seoul.kr/images/bookimg/M_571479.jpg2023-03-08
1451214513서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr동동도넛 둥둥도넛<이현지> 글그림9787564132전자책유아/어린이/청소년우리나비https://ebook.gangseo.seoul.kr/images/bookimg/208016019.jpg2023-03-08
연번시군구도서관명도서관구분코드홈페이지도서명저자명국제표준도서번호형식카테고리출판사표지이미지주소데이터기준일
1167811679서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr네이버 증권으로 배우는 주식투자 실전 가이드북 (개정증보판)<알렉스 강> 저9791163430전자책비즈니스와경제스마트비즈니스https://ebook.gangseo.seoul.kr/images/bookimg/298024400.jpg2023-03-08
57275728서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr걱정 말아요, 그대<JTBC [김제동의 톡투유] 제작팀> 저/<버닝피치> 그림9788927807전자책문학중앙북스(books)https://ebook.gangseo.seoul.kr/images/bookimg/M_509621.jpg2023-03-08
52515252서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr아버지, 나의 아버지<최유정> 저9788957983전자책유아/어린이/청소년푸른책들https://ebook.gangseo.seoul.kr/images/bookimg/M_245200.jpg2023-03-08
50175018서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.krLost And Found<나승연>,<강민정> 저9788992630전자책유아/어린이/청소년앱투스미디어https://ebook.gangseo.seoul.kr/images/bookimg/M_201509.jpg2023-03-08
12921293서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr리트윗의 자유를 허하라<박수진>,<박성철>,<노현웅>,<오승훈> 공저9788960865전자책인문/사회위즈덤하우스https://ebook.gangseo.seoul.kr/images/bookimg/17816926.jpg2023-03-08
55075508서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr미국을 모르면 영어도 없다 Extended 1<이창열> 저9788968450전자책국어와외국어앱투스미디어https://ebook.gangseo.seoul.kr/images/bookimg/M_209228.jpg2023-03-08
29502951서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr영조와 사도<김수지> 저9791186542전자책인문/사회인문서원https://ebook.gangseo.seoul.kr/images/bookimg/M_375363.jpg2023-03-08
38333834서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr가난이 조종되고 있다<에드워드 로이스> 저/<배충효> 역9791195607전자책비즈니스와경제명태https://ebook.gangseo.seoul.kr/images/bookimg/M_410240.jpg2023-03-08
40634064서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr삼국지 13<나관중> 저9791185197전자책문학해성이앤피https://ebook.gangseo.seoul.kr/images/bookimg/M_276447.jpg2023-03-08
43364337서울특별시 강서구강서구전자도서관37http://ebook.gangseo.seoul.kr회화의 감을 잡아주는 영단어 1 (Vocabulary)<오석태> 저9788967903전자책국어와외국어넥서스https://ebook.gangseo.seoul.kr/images/bookimg/M_207124.jpg2023-03-08