Overview

Dataset statistics

Number of variables8
Number of observations4731
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory305.1 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Text5
Categorical1

Dataset

Description동부도서관에 입수된 해당 분기 신착자료에 대한 데이터로 서명, 등록번호, 청구기호, 발행연도 등 해당 자료의 서지정보 제공
Author대구광역시교육청 대구광역시립동부도서관
URLhttps://www.data.go.kr/data/15073852/fileData.do

Alerts

번호 is highly overall correlated with 발행년High correlation
발행년 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:19:03.400499
Analysis finished2024-03-16 04:19:07.659769
Duration4.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct4731
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2366
Minimum1
Maximum4731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.7 KiB
2024-03-16T13:19:07.805662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile237.5
Q11183.5
median2366
Q33548.5
95-th percentile4494.5
Maximum4731
Range4730
Interquartile range (IQR)2365

Descriptive statistics

Standard deviation1365.8664
Coefficient of variation (CV)0.57728926
Kurtosis-1.2
Mean2366
Median Absolute Deviation (MAD)1183
Skewness0
Sum11193546
Variance1865591
MonotonicityStrictly increasing
2024-03-16T13:19:07.998266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3144 1
 
< 0.1%
3160 1
 
< 0.1%
3159 1
 
< 0.1%
3158 1
 
< 0.1%
3157 1
 
< 0.1%
3156 1
 
< 0.1%
3155 1
 
< 0.1%
3154 1
 
< 0.1%
3153 1
 
< 0.1%
Other values (4721) 4721
99.8%
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 (%)
4731 1
< 0.1%
4730 1
< 0.1%
4729 1
< 0.1%
4728 1
< 0.1%
4727 1
< 0.1%
4726 1
< 0.1%
4725 1
< 0.1%
4724 1
< 0.1%
4723 1
< 0.1%
4722 1
< 0.1%

청구기호
Text

Distinct4561
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size37.1 KiB
2024-03-16T13:19:08.322180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length11.797083
Min length7

Characters and Unicode

Total characters55812
Distinct characters472
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4463 ?
Unique (%)94.3%

Sample

1st row982.502-백51ㄷ
2nd row592.04-픽53ㅁ
3rd row747.5-김72ㅇ
4th row981.1402-김57ㅇ
5th row981.2402-신53ㄷ
ValueCountFrequency (%)
j 802
 
11.1%
wj 782
 
10.8%
mc 384
 
5.3%
청 158
 
2.2%
대 102
 
1.4%
洋 73
 
1.0%
747-p46p 50
 
0.7%
향 39
 
0.5%
베(j 27
 
0.4%
中(j 27
 
0.4%
Other values (4533) 4768
66.1%
2024-03-16T13:19:09.023330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5643
 
10.1%
3 5126
 
9.2%
8 4920
 
8.8%
1 4270
 
7.7%
2 3083
 
5.5%
4 3004
 
5.4%
. 2863
 
5.1%
5 2485
 
4.5%
2481
 
4.4%
7 2419
 
4.3%
Other values (462) 19518
35.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30815
55.2%
Other Letter 8048
 
14.4%
Dash Punctuation 5643
 
10.1%
Uppercase Letter 4134
 
7.4%
Other Punctuation 2863
 
5.1%
Space Separator 2481
 
4.4%
Lowercase Letter 818
 
1.5%
Open Punctuation 374
 
0.7%
Close Punctuation 374
 
0.7%
Math Symbol 262
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 761
 
9.5%
ㅅ 424
 
5.3%
김 408
 
5.1%
ㄱ 354
 
4.4%
이 336
 
4.2%
ㅁ 282
 
3.5%
ㄴ 275
 
3.4%
ㅂ 257
 
3.2%
ㄷ 243
 
3.0%
ㅎ 233
 
2.9%
Other values (397) 4475
55.6%
Lowercase Letter
ValueCountFrequency (%)
p 177
21.6%
b 76
 
9.3%
c 60
 
7.3%
t 56
 
6.8%
m 49
 
6.0%
s 45
 
5.5%
h 40
 
4.9%
w 38
 
4.6%
g 37
 
4.5%
l 36
 
4.4%
Other values (14) 204
24.9%
Uppercase Letter
ValueCountFrequency (%)
J 1706
41.3%
W 822
19.9%
M 453
 
11.0%
C 419
 
10.1%
P 127
 
3.1%
R 78
 
1.9%
S 72
 
1.7%
B 68
 
1.6%
H 61
 
1.5%
K 56
 
1.4%
Other values (13) 272
 
6.6%
Decimal Number
ValueCountFrequency (%)
3 5126
16.6%
8 4920
16.0%
1 4270
13.9%
2 3083
10.0%
4 3004
9.7%
5 2485
8.1%
7 2419
7.9%
9 2404
7.8%
6 1952
 
6.3%
0 1152
 
3.7%
Open Punctuation
ValueCountFrequency (%)
[ 264
70.6%
( 110
29.4%
Close Punctuation
ValueCountFrequency (%)
] 264
70.6%
) 110
29.4%
Dash Punctuation
ValueCountFrequency (%)
- 5643
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2863
100.0%
Space Separator
ValueCountFrequency (%)
2481
100.0%
Math Symbol
ValueCountFrequency (%)
= 262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42812
76.7%
Hangul 7948
 
14.2%
Latin 4952
 
8.9%
Han 100
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 761
 
9.6%
ㅅ 424
 
5.3%
김 408
 
5.1%
ㄱ 354
 
4.5%
이 336
 
4.2%
ㅁ 282
 
3.5%
ㄴ 275
 
3.5%
ㅂ 257
 
3.2%
ㄷ 243
 
3.1%
ㅎ 233
 
2.9%
Other values (395) 4375
55.0%
Latin
ValueCountFrequency (%)
J 1706
34.5%
W 822
16.6%
M 453
 
9.1%
C 419
 
8.5%
p 177
 
3.6%
P 127
 
2.6%
R 78
 
1.6%
b 76
 
1.5%
S 72
 
1.5%
B 68
 
1.4%
Other values (37) 954
19.3%
Common
ValueCountFrequency (%)
- 5643
13.2%
3 5126
12.0%
8 4920
11.5%
1 4270
10.0%
2 3083
7.2%
4 3004
7.0%
. 2863
6.7%
5 2485
 
5.8%
2481
 
5.8%
7 2419
 
5.7%
Other values (8) 6518
15.2%
Han
ValueCountFrequency (%)
洋 73
73.0%
中 27
 
27.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47764
85.6%
Hangul 4284
 
7.7%
Compat Jamo 3664
 
6.6%
CJK 100
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5643
11.8%
3 5126
10.7%
8 4920
10.3%
1 4270
 
8.9%
2 3083
 
6.5%
4 3004
 
6.3%
. 2863
 
6.0%
5 2485
 
5.2%
2481
 
5.2%
7 2419
 
5.1%
Other values (55) 11470
24.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 761
20.8%
ㅅ 424
11.6%
ㄱ 354
9.7%
ㅁ 282
 
7.7%
ㄴ 275
 
7.5%
ㅂ 257
 
7.0%
ㄷ 243
 
6.6%
ㅎ 233
 
6.4%
ㅈ 232
 
6.3%
ㅊ 190
 
5.2%
Other values (9) 413
11.3%
Hangul
ValueCountFrequency (%)
김 408
 
9.5%
이 336
 
7.8%
청 163
 
3.8%
박 148
 
3.5%
대 113
 
2.6%
정 109
 
2.5%
최 75
 
1.8%
조 74
 
1.7%
오 66
 
1.5%
애 63
 
1.5%
Other values (376) 2729
63.7%
CJK
ValueCountFrequency (%)
洋 73
73.0%
中 27
 
27.0%

등록번호
Text

UNIQUE 

Distinct4731
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size37.1 KiB
2024-03-16T13:19:09.436424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters56772
Distinct characters18
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

Unique4731 ?
Unique (%)100.0%

Sample

1st rowBFL000510655
2nd rowBFL000511633
3rd rowBFL000511671
4th rowBFL000511856
5th rowBFL000511870
ValueCountFrequency (%)
bfl000510655 1
 
< 0.1%
bgk000513429 1
 
< 0.1%
bgk000513445 1
 
< 0.1%
bgk000513444 1
 
< 0.1%
bgk000513443 1
 
< 0.1%
bgk000513442 1
 
< 0.1%
bgk000513441 1
 
< 0.1%
bgk000513440 1
 
< 0.1%
bgk000513439 1
 
< 0.1%
bgk000513438 1
 
< 0.1%
Other values (4721) 4721
99.8%
2024-03-16T13:19:10.080532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17514
30.8%
1 7074
12.5%
B 5531
 
9.7%
5 5228
 
9.2%
G 3918
 
6.9%
K 3736
 
6.6%
2 3087
 
5.4%
3 2463
 
4.3%
4 1613
 
2.8%
9 1475
 
2.6%
Other values (8) 5133
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42579
75.0%
Uppercase Letter 14193
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17514
41.1%
1 7074
16.6%
5 5228
 
12.3%
2 3087
 
7.3%
3 2463
 
5.8%
4 1613
 
3.8%
9 1475
 
3.5%
8 1420
 
3.3%
7 1359
 
3.2%
6 1346
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 5531
39.0%
G 3918
27.6%
K 3736
26.3%
H 817
 
5.8%
L 122
 
0.9%
X 55
 
0.4%
F 13
 
0.1%
M 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 42579
75.0%
Latin 14193
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17514
41.1%
1 7074
16.6%
5 5228
 
12.3%
2 3087
 
7.3%
3 2463
 
5.8%
4 1613
 
3.8%
9 1475
 
3.5%
8 1420
 
3.3%
7 1359
 
3.2%
6 1346
 
3.2%
Latin
ValueCountFrequency (%)
B 5531
39.0%
G 3918
27.6%
K 3736
26.3%
H 817
 
5.8%
L 122
 
0.9%
X 55
 
0.4%
F 13
 
0.1%
M 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17514
30.8%
1 7074
12.5%
B 5531
 
9.7%
5 5228
 
9.2%
G 3918
 
6.9%
K 3736
 
6.6%
2 3087
 
5.4%
3 2463
 
4.3%
4 1613
 
2.8%
9 1475
 
2.6%
Other values (8) 5133
 
9.0%

서명
Text

Distinct4515
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size37.1 KiB
2024-03-16T13:19:10.731349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length62
Mean length26.244769
Min length1

Characters and Unicode

Total characters124164
Distinct characters1459
Distinct categories15 ?
Distinct scripts7 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4308 ?
Unique (%)91.1%

Sample

1st row(Just go) 동유럽 3개국=Eastern Europe : 체코·오스트리아·헝가리
2nd row(픽셀클로젯의) 말랑말랑 솜인형 옷 만들기 : 초보자를 위한 핸드메이드 인형 옷 레슨
3rd row(김재우의) 영어회화 100 : 원어민처럼 말하는 진짜 영어회화 : 100일 후, 당신의 입에서 나오는 영어에 놀랄 것이다!
4th row52주 여행, 우리가 몰랐던 강원도 408 : 156개의 스팟 ·매주 1개의 추천 코스 ·월별 2박 3일 코스
5th row디스 이즈 타이완=This is Taiwan : 2023~2024년 최신판
ValueCountFrequency (%)
2560
 
8.1%
the 342
 
1.1%
위한 195
 
0.6%
장편소설 185
 
0.6%
이야기 155
 
0.5%
and 131
 
0.4%
a 124
 
0.4%
2 112
 
0.4%
1 108
 
0.3%
내 100
 
0.3%
Other values (13280) 27484
87.3%
2024-03-16T13:19:11.775253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26766
 
21.6%
: 2500
 
2.0%
e 2212
 
1.8%
의 2025
 
1.6%
이 1804
 
1.5%
a 1659
 
1.3%
는 1619
 
1.3%
o 1458
 
1.2%
t 1334
 
1.1%
i 1323
 
1.1%
Other values (1449) 81464
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67632
54.5%
Space Separator 26766
 
21.6%
Lowercase Letter 18371
 
14.8%
Other Punctuation 5370
 
4.3%
Uppercase Letter 2501
 
2.0%
Decimal Number 1963
 
1.6%
Close Punctuation 650
 
0.5%
Open Punctuation 650
 
0.5%
Math Symbol 183
 
0.1%
Dash Punctuation 70
 
0.1%
Other values (5) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2025
 
3.0%
이 1804
 
2.7%
는 1619
 
2.4%
한 1009
 
1.5%
기 977
 
1.4%
가 930
 
1.4%
지 907
 
1.3%
리 899
 
1.3%
사 892
 
1.3%
하 845
 
1.2%
Other values (1325) 55725
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 2212
12.0%
a 1659
 
9.0%
o 1458
 
7.9%
t 1334
 
7.3%
i 1323
 
7.2%
n 1241
 
6.8%
r 1193
 
6.5%
s 1152
 
6.3%
h 917
 
5.0%
l 781
 
4.3%
Other values (36) 5101
27.8%
Uppercase Letter
ValueCountFrequency (%)
T 349
14.0%
M 173
 
6.9%
S 172
 
6.9%
P 161
 
6.4%
C 160
 
6.4%
B 158
 
6.3%
G 153
 
6.1%
A 141
 
5.6%
D 131
 
5.2%
I 121
 
4.8%
Other values (20) 782
31.3%
Other Punctuation
ValueCountFrequency (%)
: 2500
46.6%
, 1039
19.3%
? 575
 
10.7%
. 560
 
10.4%
! 348
 
6.5%
' 181
 
3.4%
· 110
 
2.0%
& 27
 
0.5%
% 12
 
0.2%
… 5
 
0.1%
Other values (5) 13
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 444
22.6%
0 377
19.2%
2 362
18.4%
3 202
10.3%
4 154
 
7.8%
5 142
 
7.2%
6 77
 
3.9%
8 75
 
3.8%
9 73
 
3.7%
7 57
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 616
94.8%
] 17
 
2.6%
〉 7
 
1.1%
』 6
 
0.9%
》 4
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 616
94.8%
[ 17
 
2.6%
〈 7
 
1.1%
『 6
 
0.9%
《 4
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 129
70.5%
~ 36
 
19.7%
× 11
 
6.0%
+ 7
 
3.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
50.0%
℃ 1
50.0%
Space Separator
ValueCountFrequency (%)
26766
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67042
54.0%
Common 35658
28.7%
Latin 20806
 
16.8%
Han 216
 
0.2%
Hiragana 198
 
0.2%
Katakana 176
 
0.1%
Cyrillic 68
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2025
 
3.0%
이 1804
 
2.7%
는 1619
 
2.4%
한 1009
 
1.5%
기 977
 
1.5%
가 930
 
1.4%
지 907
 
1.4%
리 899
 
1.3%
사 892
 
1.3%
하 845
 
1.3%
Other values (1135) 55135
82.2%
Han
ValueCountFrequency (%)
生 26
 
12.0%
先 26
 
12.0%
和 21
 
9.7%
小 17
 
7.9%
姐 13
 
6.0%
鬼 4
 
1.9%
不 4
 
1.9%
快 4
 
1.9%
点 3
 
1.4%
糟 2
 
0.9%
Other values (84) 96
44.4%
Katakana
ValueCountFrequency (%)
シ 12
 
6.8%
チ 10
 
5.7%
ャ 9
 
5.1%
リ 9
 
5.1%
カ 8
 
4.5%
ハ 8
 
4.5%
ッ 8
 
4.5%
イ 7
 
4.0%
ク 6
 
3.4%
ン 5
 
2.8%
Other values (46) 94
53.4%
Latin
ValueCountFrequency (%)
e 2212
 
10.6%
a 1659
 
8.0%
o 1458
 
7.0%
t 1334
 
6.4%
i 1323
 
6.4%
n 1241
 
6.0%
r 1193
 
5.7%
s 1152
 
5.5%
h 917
 
4.4%
l 781
 
3.8%
Other values (45) 7536
36.2%
Common
ValueCountFrequency (%)
26766
75.1%
: 2500
 
7.0%
, 1039
 
2.9%
) 616
 
1.7%
( 616
 
1.7%
? 575
 
1.6%
. 560
 
1.6%
1 444
 
1.2%
0 377
 
1.1%
2 362
 
1.0%
Other values (36) 1803
 
5.1%
Hiragana
ValueCountFrequency (%)
ん 41
20.7%
さ 29
14.6%
と 21
 
10.6%
ち 14
 
7.1%
ゃ 13
 
6.6%
う 7
 
3.5%
の 5
 
2.5%
い 5
 
2.5%
る 5
 
2.5%
し 5
 
2.5%
Other values (30) 53
26.8%
Cyrillic
ValueCountFrequency (%)
о 8
 
11.8%
м 6
 
8.8%
н 5
 
7.4%
р 5
 
7.4%
г 5
 
7.4%
а 4
 
5.9%
х 4
 
5.9%
б 3
 
4.4%
и 3
 
4.4%
й 3
 
4.4%
Other values (13) 22
32.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67033
54.0%
ASCII 56294
45.3%
CJK 215
 
0.2%
Hiragana 198
 
0.2%
Katakana 176
 
0.1%
None 158
 
0.1%
Cyrillic 68
 
0.1%
Compat Jamo 9
 
< 0.1%
Punctuation 8
 
< 0.1%
Number Forms 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26766
47.5%
: 2500
 
4.4%
e 2212
 
3.9%
a 1659
 
2.9%
o 1458
 
2.6%
t 1334
 
2.4%
i 1323
 
2.4%
n 1241
 
2.2%
r 1193
 
2.1%
s 1152
 
2.0%
Other values (74) 15456
27.5%
Hangul
ValueCountFrequency (%)
의 2025
 
3.0%
이 1804
 
2.7%
는 1619
 
2.4%
한 1009
 
1.5%
기 977
 
1.5%
가 930
 
1.4%
지 907
 
1.4%
리 899
 
1.3%
사 892
 
1.3%
하 845
 
1.3%
Other values (1130) 55126
82.2%
None
ValueCountFrequency (%)
· 110
69.6%
× 11
 
7.0%
〉 7
 
4.4%
〈 7
 
4.4%
』 6
 
3.8%
『 6
 
3.8%
》 4
 
2.5%
《 4
 
2.5%
đ 2
 
1.3%
＇ 1
 
0.6%
Hiragana
ValueCountFrequency (%)
ん 41
20.7%
さ 29
14.6%
と 21
 
10.6%
ち 14
 
7.1%
ゃ 13
 
6.6%
う 7
 
3.5%
の 5
 
2.5%
い 5
 
2.5%
る 5
 
2.5%
し 5
 
2.5%
Other values (30) 53
26.8%
CJK
ValueCountFrequency (%)
生 26
 
12.1%
先 26
 
12.1%
和 21
 
9.8%
小 17
 
7.9%
姐 13
 
6.0%
鬼 4
 
1.9%
不 4
 
1.9%
快 4
 
1.9%
点 3
 
1.4%
糟 2
 
0.9%
Other values (83) 95
44.2%
Katakana
ValueCountFrequency (%)
シ 12
 
6.8%
チ 10
 
5.7%
ャ 9
 
5.1%
リ 9
 
5.1%
カ 8
 
4.5%
ハ 8
 
4.5%
ッ 8
 
4.5%
イ 7
 
4.0%
ク 6
 
3.4%
ン 5
 
2.8%
Other values (46) 94
53.4%
Cyrillic
ValueCountFrequency (%)
о 8
 
11.8%
м 6
 
8.8%
н 5
 
7.4%
р 5
 
7.4%
г 5
 
7.4%
а 4
 
5.9%
х 4
 
5.9%
б 3
 
4.4%
и 3
 
4.4%
й 3
 
4.4%
Other values (13) 22
32.4%
Punctuation
ValueCountFrequency (%)
… 5
62.5%
’ 2
 
25.0%
‘ 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
22.2%
ㄱ 2
22.2%
ㄴ 2
22.2%
ㄷ 2
22.2%
ㅇ 1
11.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
不 1
100.0%

저자
Text

Distinct3955
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size37.1 KiB
2024-03-16T13:19:12.457194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length78
Mean length18.46692
Min length2

Characters and Unicode

Total characters87367
Distinct characters965
Distinct categories10 ?
Distinct scripts7 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3547 ?
Unique (%)75.0%

Sample

1st row백상현 지음
2nd row픽셀클로젯(고홍현) 지음
3rd row김재우 지음
4th row김수린,김지영 지음
5th row글·사진: 신서희
ValueCountFrequency (%)
2824
 
12.9%
지음 1738
 
7.9%
by 1287
 
5.9%
옮김 947
 
4.3%
그림 851
 
3.9%
글 799
 
3.6%
지은이 776
 
3.5%
illustrated 363
 
1.7%
옮긴이 267
 
1.2%
글·그림 186
 
0.8%
Other values (7056) 11915
54.3%
2024-03-16T13:19:13.334304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17226
 
19.7%
지 2870
 
3.3%
; 2771
 
3.2%
이 2333
 
2.7%
: 2205
 
2.5%
a 2200
 
2.5%
e 2177
 
2.5%
김 1831
 
2.1%
i 1821
 
2.1%
음 1777
 
2.0%
Other values (955) 50156
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37547
43.0%
Lowercase Letter 22391
25.6%
Space Separator 17226
19.7%
Other Punctuation 6420
 
7.3%
Uppercase Letter 3453
 
4.0%
Open Punctuation 141
 
0.2%
Close Punctuation 140
 
0.2%
Dash Punctuation 36
 
< 0.1%
Decimal Number 11
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2870
 
7.6%
이 2333
 
6.2%
김 1831
 
4.9%
음 1777
 
4.7%
옮 1215
 
3.2%
그 1153
 
3.1%
림 1080
 
2.9%
글 1068
 
2.8%
은 1056
 
2.8%
스 602
 
1.6%
Other values (842) 22562
60.1%
Lowercase Letter
ValueCountFrequency (%)
a 2200
9.8%
e 2177
9.7%
i 1821
 
8.1%
l 1753
 
7.8%
y 1697
 
7.6%
r 1651
 
7.4%
t 1650
 
7.4%
n 1492
 
6.7%
b 1440
 
6.4%
o 1168
 
5.2%
Other values (35) 5342
23.9%
Uppercase Letter
ValueCountFrequency (%)
S 306
 
8.9%
C 270
 
7.8%
M 247
 
7.2%
D 239
 
6.9%
B 228
 
6.6%
A 228
 
6.6%
J 223
 
6.5%
L 203
 
5.9%
K 157
 
4.5%
R 157
 
4.5%
Other values (25) 1195
34.6%
Other Punctuation
ValueCountFrequency (%)
; 2771
43.2%
: 2205
34.3%
, 533
 
8.3%
? 511
 
8.0%
· 245
 
3.8%
. 117
 
1.8%
/ 25
 
0.4%
' 6
 
0.1%
& 2
 
< 0.1%
" 2
 
< 0.1%
Other values (2) 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
4 2
18.2%
9 2
18.2%
5 1
 
9.1%
7 1
 
9.1%
2 1
 
9.1%
0 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
[ 113
80.1%
( 25
 
17.7%
「 1
 
0.7%
〈 1
 
0.7%
《 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
] 112
80.0%
) 25
 
17.9%
」 1
 
0.7%
》 1
 
0.7%
〉 1
 
0.7%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
50.0%
│ 1
50.0%
Space Separator
ValueCountFrequency (%)
17226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37249
42.6%
Latin 25756
29.5%
Common 23976
27.4%
Han 153
 
0.2%
Katakana 121
 
0.1%
Cyrillic 88
 
0.1%
Hiragana 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2870
 
7.7%
이 2333
 
6.3%
김 1831
 
4.9%
음 1777
 
4.8%
옮 1215
 
3.3%
그 1153
 
3.1%
림 1080
 
2.9%
글 1068
 
2.9%
은 1056
 
2.8%
스 602
 
1.6%
Other values (731) 22264
59.8%
Han
ValueCountFrequency (%)
文 42
27.5%
著 6
 
3.9%
作 5
 
3.3%
夫 4
 
2.6%
溶 4
 
2.6%
原 3
 
2.0%
永 3
 
2.0%
英 3
 
2.0%
利 3
 
2.0%
唐 2
 
1.3%
Other values (62) 78
51.0%
Latin
ValueCountFrequency (%)
a 2200
 
8.5%
e 2177
 
8.5%
i 1821
 
7.1%
l 1753
 
6.8%
y 1697
 
6.6%
r 1651
 
6.4%
t 1650
 
6.4%
n 1492
 
5.8%
b 1440
 
5.6%
o 1168
 
4.5%
Other values (41) 8707
33.8%
Common
ValueCountFrequency (%)
17226
71.8%
; 2771
 
11.6%
: 2205
 
9.2%
, 533
 
2.2%
? 511
 
2.1%
· 245
 
1.0%
. 117
 
0.5%
[ 113
 
0.5%
] 112
 
0.5%
- 36
 
0.2%
Other values (23) 107
 
0.4%
Cyrillic
ValueCountFrequency (%)
а 10
 
11.4%
у 9
 
10.2%
р 8
 
9.1%
х 6
 
6.8%
н 6
 
6.8%
м 5
 
5.7%
ч 5
 
5.7%
о 4
 
4.5%
Г 3
 
3.4%
л 3
 
3.4%
Other values (19) 29
33.0%
Hiragana
ValueCountFrequency (%)
く 2
 
8.3%
う 2
 
8.3%
こ 2
 
8.3%
お 2
 
8.3%
か 1
 
4.2%
や 1
 
4.2%
る 1
 
4.2%
て 1
 
4.2%
ぐ 1
 
4.2%
ん 1
 
4.2%
Other values (10) 10
41.7%
Katakana
ValueCountFrequency (%)
ン 22
18.2%
イ 21
17.4%
ド 20
16.5%
ラ 20
16.5%
ア 20
16.5%
ケ 3
 
2.5%
シ 2
 
1.7%
ス 2
 
1.7%
レ 1
 
0.8%
タ 1
 
0.8%
Other values (9) 9
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49476
56.6%
Hangul 37249
42.6%
None 254
 
0.3%
CJK 152
 
0.2%
Katakana 121
 
0.1%
Cyrillic 88
 
0.1%
Hiragana 24
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17226
34.8%
; 2771
 
5.6%
: 2205
 
4.5%
a 2200
 
4.4%
e 2177
 
4.4%
i 1821
 
3.7%
l 1753
 
3.5%
y 1697
 
3.4%
r 1651
 
3.3%
t 1650
 
3.3%
Other values (63) 14325
29.0%
Hangul
ValueCountFrequency (%)
지 2870
 
7.7%
이 2333
 
6.3%
김 1831
 
4.9%
음 1777
 
4.8%
옮 1215
 
3.3%
그 1153
 
3.1%
림 1080
 
2.9%
글 1068
 
2.9%
은 1056
 
2.8%
스 602
 
1.6%
Other values (731) 22264
59.8%
None
ValueCountFrequency (%)
· 245
96.5%
， 2
 
0.8%
「 1
 
0.4%
」 1
 
0.4%
》 1
 
0.4%
〈 1
 
0.4%
〉 1
 
0.4%
《 1
 
0.4%
＆ 1
 
0.4%
CJK
ValueCountFrequency (%)
文 42
27.6%
著 6
 
3.9%
作 5
 
3.3%
夫 4
 
2.6%
溶 4
 
2.6%
原 3
 
2.0%
永 3
 
2.0%
英 3
 
2.0%
利 3
 
2.0%
唐 2
 
1.3%
Other values (61) 77
50.7%
Katakana
ValueCountFrequency (%)
ン 22
18.2%
イ 21
17.4%
ド 20
16.5%
ラ 20
16.5%
ア 20
16.5%
ケ 3
 
2.5%
シ 2
 
1.7%
ス 2
 
1.7%
レ 1
 
0.8%
タ 1
 
0.8%
Other values (9) 9
7.4%
Cyrillic
ValueCountFrequency (%)
а 10
 
11.4%
у 9
 
10.2%
р 8
 
9.1%
х 6
 
6.8%
н 6
 
6.8%
м 5
 
5.7%
ч 5
 
5.7%
о 4
 
4.5%
Г 3
 
3.4%
л 3
 
3.4%
Other values (19) 29
33.0%
Hiragana
ValueCountFrequency (%)
く 2
 
8.3%
う 2
 
8.3%
こ 2
 
8.3%
お 2
 
8.3%
か 1
 
4.2%
や 1
 
4.2%
る 1
 
4.2%
て 1
 
4.2%
ぐ 1
 
4.2%
ん 1
 
4.2%
Other values (10) 10
41.7%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%

발행자
Text

Distinct1593
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size37.1 KiB
2024-03-16T13:19:13.976264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length6.7013316
Min length1

Characters and Unicode

Total characters31704
Distinct characters715
Distinct categories10 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique856 ?
Unique (%)18.1%

Sample

1st row시공사
2nd row한즈미디어
3rd row상상스퀘어
4th row책밥
5th rowTerra(테라)
ValueCountFrequency (%)
books 244
 
4.1%
penguin 111
 
1.9%
readers 100
 
1.7%
young 100
 
1.7%
위즈덤하우스 65
 
1.1%
문학동네 57
 
1.0%
창비 55
 
0.9%
abrams 55
 
0.9%
simon 54
 
0.9%
김영사 49
 
0.8%
Other values (1694) 5103
85.1%
2024-03-16T13:19:14.876783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1402
 
4.4%
1262
 
4.0%
e 1092
 
3.4%
n 1038
 
3.3%
s 988
 
3.1%
r 918
 
2.9%
i 909
 
2.9%
a 861
 
2.7%
스 665
 
2.1%
l 612
 
1.9%
Other values (705) 21957
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15303
48.3%
Lowercase Letter 11660
36.8%
Uppercase Letter 2574
 
8.1%
Space Separator 1262
 
4.0%
Other Punctuation 359
 
1.1%
Open Punctuation 218
 
0.7%
Close Punctuation 218
 
0.7%
Decimal Number 96
 
0.3%
Dash Punctuation 13
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 665
 
4.3%
이 495
 
3.2%
북 495
 
3.2%
사 454
 
3.0%
어 342
 
2.2%
아 289
 
1.9%
리 253
 
1.7%
문 224
 
1.5%
비 216
 
1.4%
책 194
 
1.3%
Other values (608) 11676
76.3%
Lowercase Letter
ValueCountFrequency (%)
o 1402
12.0%
e 1092
 
9.4%
n 1038
 
8.9%
s 988
 
8.5%
r 918
 
7.9%
i 909
 
7.8%
a 861
 
7.4%
l 612
 
5.2%
t 520
 
4.5%
k 509
 
4.4%
Other values (33) 2811
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 418
16.2%
P 258
10.0%
S 243
 
9.4%
H 193
 
7.5%
C 187
 
7.3%
R 167
 
6.5%
M 131
 
5.1%
W 121
 
4.7%
A 117
 
4.5%
Y 108
 
4.2%
Other values (20) 631
24.5%
Decimal Number
ValueCountFrequency (%)
2 39
40.6%
1 38
39.6%
4 7
 
7.3%
0 4
 
4.2%
3 2
 
2.1%
7 2
 
2.1%
6 2
 
2.1%
5 1
 
1.0%
8 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
? 212
59.1%
' 53
 
14.8%
& 45
 
12.5%
. 24
 
6.7%
, 21
 
5.8%
! 2
 
0.6%
# 1
 
0.3%
＆ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 217
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 217
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15086
47.6%
Latin 14186
44.7%
Common 2167
 
6.8%
Han 142
 
0.4%
Katakana 72
 
0.2%
Cyrillic 48
 
0.2%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 665
 
4.4%
이 495
 
3.3%
북 495
 
3.3%
사 454
 
3.0%
어 342
 
2.3%
아 289
 
1.9%
리 253
 
1.7%
문 224
 
1.5%
비 216
 
1.4%
책 194
 
1.3%
Other values (552) 11459
76.0%
Latin
ValueCountFrequency (%)
o 1402
 
9.9%
e 1092
 
7.7%
n 1038
 
7.3%
s 988
 
7.0%
r 918
 
6.5%
i 909
 
6.4%
a 861
 
6.1%
l 612
 
4.3%
t 520
 
3.7%
k 509
 
3.6%
Other values (43) 5337
37.6%
Han
ValueCountFrequency (%)
熊 40
28.2%
社 12
 
8.5%
出 8
 
5.6%
版 8
 
5.6%
貿 6
 
4.2%
易 6
 
4.2%
供 6
 
4.2%
給 6
 
4.2%
究 3
 
2.1%
文 2
 
1.4%
Other values (34) 45
31.7%
Common
ValueCountFrequency (%)
1262
58.2%
( 217
 
10.0%
) 217
 
10.0%
? 212
 
9.8%
' 53
 
2.4%
& 45
 
2.1%
2 39
 
1.8%
1 38
 
1.8%
. 24
 
1.1%
, 21
 
1.0%
Other values (14) 39
 
1.8%
Cyrillic
ValueCountFrequency (%)
р 5
 
10.4%
н 4
 
8.3%
о 4
 
8.3%
а 4
 
8.3%
г 4
 
8.3%
с 3
 
6.2%
л 3
 
6.2%
э 3
 
6.2%
й 3
 
6.2%
х 2
 
4.2%
Other values (10) 13
27.1%
Katakana
ValueCountFrequency (%)
ン 15
20.8%
セ 14
19.4%
ジ 14
19.4%
ョ 14
19.4%
マ 6
 
8.3%
ク 6
 
8.3%
ロ 1
 
1.4%
ブ 1
 
1.4%
ズ 1
 
1.4%
Hiragana
ValueCountFrequency (%)
ぷ 1
33.3%
る 1
33.3%
ほ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16351
51.6%
Hangul 15085
47.6%
CJK 142
 
0.4%
Katakana 72
 
0.2%
Cyrillic 48
 
0.2%
Hiragana 3
 
< 0.1%
None 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1402
 
8.6%
1262
 
7.7%
e 1092
 
6.7%
n 1038
 
6.3%
s 988
 
6.0%
r 918
 
5.6%
i 909
 
5.6%
a 861
 
5.3%
l 612
 
3.7%
t 520
 
3.2%
Other values (65) 6749
41.3%
Hangul
ValueCountFrequency (%)
스 665
 
4.4%
이 495
 
3.3%
북 495
 
3.3%
사 454
 
3.0%
어 342
 
2.3%
아 289
 
1.9%
리 253
 
1.7%
문 224
 
1.5%
비 216
 
1.4%
책 194
 
1.3%
Other values (551) 11458
76.0%
CJK
ValueCountFrequency (%)
熊 40
28.2%
社 12
 
8.5%
出 8
 
5.6%
版 8
 
5.6%
貿 6
 
4.2%
易 6
 
4.2%
供 6
 
4.2%
給 6
 
4.2%
究 3
 
2.1%
文 2
 
1.4%
Other values (34) 45
31.7%
Katakana
ValueCountFrequency (%)
ン 15
20.8%
セ 14
19.4%
ジ 14
19.4%
ョ 14
19.4%
マ 6
 
8.3%
ク 6
 
8.3%
ロ 1
 
1.4%
ブ 1
 
1.4%
ズ 1
 
1.4%
Cyrillic
ValueCountFrequency (%)
р 5
 
10.4%
н 4
 
8.3%
о 4
 
8.3%
а 4
 
8.3%
г 4
 
8.3%
с 3
 
6.2%
л 3
 
6.2%
э 3
 
6.2%
й 3
 
6.2%
х 2
 
4.2%
Other values (10) 13
27.1%
Hiragana
ValueCountFrequency (%)
ぷ 1
33.3%
る 1
33.3%
ほ 1
33.3%
None
ValueCountFrequency (%)
đ 1
50.0%
＆ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
100.0%

발행년
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.832
Minimum1991
Maximum2032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size41.7 KiB
2024-03-16T13:19:15.130795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile2015
Q12023
median2023
Q32023
95-th percentile2023
Maximum2032
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1029348
Coefficient of variation (CV)0.0015347145
Kurtosis18.994623
Mean2021.832
Median Absolute Deviation (MAD)0
Skewness-3.8800516
Sum9565287
Variance9.6282046
MonotonicityNot monotonic
2024-03-16T13:19:15.335501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2023 3588
75.8%
2022 263
 
5.6%
2020 206
 
4.4%
2021 180
 
3.8%
2019 83
 
1.8%
2018 58
 
1.2%
2017 54
 
1.1%
2013 53
 
1.1%
2012 52
 
1.1%
2015 37
 
0.8%
Other values (19) 157
 
3.3%
ValueCountFrequency (%)
1991 1
 
< 0.1%
1993 1
 
< 0.1%
1998 3
 
0.1%
2000 9
0.2%
2001 4
0.1%
2002 5
0.1%
2003 6
0.1%
2004 1
 
< 0.1%
2005 2
 
< 0.1%
2006 2
 
< 0.1%
ValueCountFrequency (%)
2032 2
 
< 0.1%
2024 4
 
0.1%
2023 3588
75.8%
2022 263
 
5.6%
2021 180
 
3.8%
2020 206
 
4.4%
2019 83
 
1.8%
2018 58
 
1.2%
2017 54
 
1.1%
2016 33
 
0.7%

자료실
Categorical

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size37.1 KiB
[동부]종합자료실
1506 
[동부]종합자료실(신간)
860 
[동부]어린이실(신간)
794 
[동부]영어문화정보실
573 
[동부]모자코너(신간)
377 
Other values (7)
621 

Length

Max length16
Median length13
Mean length11.110547
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[동부]종합자료실
2nd row[동부]종합자료실
3rd row[동부]종합자료실
4th row[동부]종합자료실
5th row[동부]종합자료실

Common Values

ValueCountFrequency (%)
[동부]종합자료실 1506
31.8%
[동부]종합자료실(신간) 860
18.2%
[동부]어린이실(신간) 794
16.8%
[동부]영어문화정보실 573
 
12.1%
[동부]모자코너(신간) 377
 
8.0%
[동부]영어문화정보실(0~2) 168
 
3.6%
[동부]청소년 158
 
3.3%
[동부]영어문화정보실(3~9) 114
 
2.4%
[동부]다문화자료코너 110
 
2.3%
[동부]향토자료 39
 
0.8%
Other values (2) 32
 
0.7%

Length

2024-03-16T13:19:15.602984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동부]종합자료실 1506
31.7%
동부]종합자료실(신간 860
18.1%
동부]어린이실(신간 794
16.7%
동부]영어문화정보실 573
 
12.1%
동부]모자코너(신간 377
 
7.9%
동부]영어문화정보실(0~2 168
 
3.5%
동부]청소년 158
 
3.3%
동부]영어문화정보실(3~9 114
 
2.4%
동부]다문화자료코너 110
 
2.3%
동부]향토자료 39
 
0.8%
Other values (3) 47
 
1.0%

Interactions

2024-03-16T13:19:06.899914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:06.572649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:07.096803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:06.725538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:19:15.716740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년자료실
번호1.0000.5720.797
발행년0.5721.0000.507
자료실0.7970.5071.000
2024-03-16T13:19:15.937541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년자료실
번호1.000-0.5870.496
발행년-0.5871.0000.241
자료실0.4960.2411.000

Missing values

2024-03-16T13:19:07.301155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:19:07.547895image/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

번호청구기호등록번호서명저자발행자발행년자료실
01982.502-백51ㄷBFL000510655(Just go) 동유럽 3개국=Eastern Europe : 체코·오스트리아·헝가리백상현 지음시공사2023[동부]종합자료실
12592.04-픽53ㅁBFL000511633(픽셀클로젯의) 말랑말랑 솜인형 옷 만들기 : 초보자를 위한 핸드메이드 인형 옷 레슨픽셀클로젯(고홍현) 지음한즈미디어2023[동부]종합자료실
23747.5-김72ㅇBFL000511671(김재우의) 영어회화 100 : 원어민처럼 말하는 진짜 영어회화 : 100일 후, 당신의 입에서 나오는 영어에 놀랄 것이다!김재우 지음상상스퀘어2023[동부]종합자료실
34981.1402-김57ㅇBFL00051185652주 여행, 우리가 몰랐던 강원도 408 : 156개의 스팟 ·매주 1개의 추천 코스 ·월별 2박 3일 코스김수린,김지영 지음책밥2023[동부]종합자료실
45981.2402-신53ㄷBFL000511870디스 이즈 타이완=This is Taiwan : 2023~2024년 최신판글·사진: 신서희Terra(테라)2023[동부]종합자료실
56981.4102-정58ㅂBFL000511880(셀프트래블) 베트남=Vietnam : '23~'24 최신판정승원 지음상상출판2023[동부]종합자료실
67981.8702-주75ㅌBFL000511925(프렌즈) 튀르키예(터키)=T?rkiye : 최신판 '23~'24주종원,채미정 지음중앙books2023[동부]종합자료실
78737-박67ㅇBFL000512853(New 보고 듣고 따라하는) 일본어 첫걸음 : 바쁜 당신을 위한 일본어 격파 프로젝트!박유자 지음제이플러스2023[동부]종합자료실
89594.62-임57ㄸBFL000513261(초보 엄마도 365일 식단 걱정 없는) 땡큐 베리밥상 유아식임수정,임수민 지음북라이프2023[동부]종합자료실
910780-조53ㄱBFL000513281(발음부터 회화까지 한 달 완성) Go! 독학 이탈리아어 첫걸음 : 발음·회화·문법·패턴 정말 한 권으로 끝내는 입문서조성윤 지음시원스쿨닷컴2023[동부]종합자료실
번호청구기호등록번호서명저자발행자발행년자료실
47214722WJ 843-M66g-3BHB000013243(The) Gumazing Gum Girl!. 3, Popped Starby Rhode Montijo,Luke ReynoldsDisney-Hyperion2019[동부]영어문화정보실(3~9)
47224723WJ 843-M66g-4BHB000013244(The) Gumazing Gum Girl!. 4, Cover Blown!by Rohde Montijo,Luke ReynoldsDisney-Hyperion2020[동부]영어문화정보실(3~9)
47234724WJ 843-M66g-5BHB000013245(The) Gumazing Gum Girl!. 5, Stick Togerther!by Rohde Montijo ; illustrated by Luke ReynoldsDisney-Hyperion2023[동부]영어문화정보실(3~9)
47244725WJ 843-P68r-[1]BHB000013246(The) runaway peaby Kjartan Poskitt ; illustrated by Alex WillmoreSimon & Schuster2019[동부]영어문화정보실(3~9)
47254726WJ 843-P68r-[2]BHB000013247(The) runaway pea. Left Behindby Kjartan Poskitt ; illustrated by Alex WillmoreSimon & Schuster2019[동부]영어문화정보실
47264727WJ 843-P68r-[3]BHB000013248(The) runaway pea. Washed Awayby Kjartan Poskitt ; illustrated by Alex WillmoreSimon & Schuster2019[동부]영어문화정보실
47274728WJ 813.8-L44sBHB000013249(The) Shade Treeby Suzy Lee ; translated by Helen MixterGreystone Kids2023[동부]영어문화정보실
47284729WJ 843-B53vBHB000013250(The) very sleepy bearby Nick BlandScholastic2020[동부]영어문화정보실
47294730WJ 843-B75wBHB000013251Way Home For Wolfby Rachel Bright ; illustrated by Jim FieldOrchard2019[동부]영어문화정보실(3~9)
47304731WJ 843-S65wBHB000013252Wonky Donkey's big surpriseby Craig Smith ; illustrated by Katz CowleyScholastic2023[동부]영어문화정보실(0~2)