Overview

Dataset statistics

Number of variables6
Number of observations1613
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.3 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20230331
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060473

Alerts

발행년 is highly imbalanced (60.0%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:59:57.620632
Analysis finished2023-12-10 16:59:59.888409
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1613
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807
Minimum1
Maximum1613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-11T01:59:59.997243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile81.6
Q1404
median807
Q31210
95-th percentile1532.4
Maximum1613
Range1612
Interquartile range (IQR)806

Descriptive statistics

Standard deviation465.77731
Coefficient of variation (CV)0.57717138
Kurtosis-1.2
Mean807
Median Absolute Deviation (MAD)403
Skewness0
Sum1301691
Variance216948.5
MonotonicityStrictly increasing
2023-12-11T02:00:00.250265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1073 1
 
0.1%
1083 1
 
0.1%
1082 1
 
0.1%
1081 1
 
0.1%
1080 1
 
0.1%
1079 1
 
0.1%
1078 1
 
0.1%
1077 1
 
0.1%
1076 1
 
0.1%
Other values (1603) 1603
99.4%
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 (%)
1613 1
0.1%
1612 1
0.1%
1611 1
0.1%
1610 1
0.1%
1609 1
0.1%
1608 1
0.1%
1607 1
0.1%
1606 1
0.1%
1605 1
0.1%
1604 1
0.1%

서명
Text

Distinct1545
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-11T02:00:00.772204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length66
Mean length28.076255
Min length1

Characters and Unicode

Total characters45287
Distinct characters1063
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1477 ?
Unique (%)91.6%

Sample

1st row(2023)대한민국 산업지도 : 투자자를 위한 업종별 투자 가이드
2nd row(Do it!)리액트 모던 웹 개발 with 타입스크립트=Do it! react modern web development with typescript : SPA와 REST API 서버 만들기!
3rd row코드팩토리의 플러터 프로그래밍 : 인프런 No.1 플러터 강사와 함께 왕초보 실력을 현업 수준으로 끌어올리기
4th rowNestJS로 배우는 백엔드 프로그래밍 : 타입스크립트 환경의 차세대 서버 프레임워크를 만나다
5th row플레이팅 디저트=Plating dessert
ValueCountFrequency (%)
1234
 
10.3%
큰글자 199
 
1.7%
큰글자도서 140
 
1.2%
장편소설 78
 
0.7%
이야기 73
 
0.6%
위한 60
 
0.5%
큰글자책 56
 
0.5%
1 56
 
0.5%
2 46
 
0.4%
어떻게 35
 
0.3%
Other values (5993) 9962
83.4%
2023-12-11T02:00:01.503023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10327
 
22.8%
: 1233
 
2.7%
862
 
1.9%
733
 
1.6%
664
 
1.5%
623
 
1.4%
439
 
1.0%
430
 
0.9%
420
 
0.9%
418
 
0.9%
Other values (1053) 29138
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29314
64.7%
Space Separator 10327
 
22.8%
Other Punctuation 1935
 
4.3%
Lowercase Letter 1764
 
3.9%
Decimal Number 669
 
1.5%
Close Punctuation 430
 
0.9%
Open Punctuation 430
 
0.9%
Uppercase Letter 290
 
0.6%
Math Symbol 114
 
0.3%
Dash Punctuation 8
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
862
 
2.9%
733
 
2.5%
664
 
2.3%
623
 
2.1%
439
 
1.5%
430
 
1.5%
420
 
1.4%
418
 
1.4%
405
 
1.4%
382
 
1.3%
Other values (961) 23938
81.7%
Uppercase Letter
ValueCountFrequency (%)
T 31
 
10.7%
S 27
 
9.3%
P 26
 
9.0%
G 22
 
7.6%
M 19
 
6.6%
D 17
 
5.9%
C 16
 
5.5%
B 16
 
5.5%
I 15
 
5.2%
A 15
 
5.2%
Other values (16) 86
29.7%
Lowercase Letter
ValueCountFrequency (%)
e 209
11.8%
o 174
 
9.9%
t 147
 
8.3%
i 143
 
8.1%
a 143
 
8.1%
n 135
 
7.7%
r 111
 
6.3%
s 106
 
6.0%
l 71
 
4.0%
h 60
 
3.4%
Other values (15) 465
26.4%
Other Punctuation
ValueCountFrequency (%)
: 1233
63.7%
, 344
 
17.8%
. 195
 
10.1%
! 86
 
4.4%
· 26
 
1.3%
' 24
 
1.2%
" 10
 
0.5%
& 7
 
0.4%
/ 3
 
0.2%
3
 
0.2%
Other values (2) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 177
26.5%
0 128
19.1%
2 112
16.7%
3 64
 
9.6%
5 53
 
7.9%
4 41
 
6.1%
7 33
 
4.9%
6 28
 
4.2%
8 17
 
2.5%
9 16
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 222
51.6%
] 205
47.7%
2
 
0.5%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 222
51.6%
[ 205
47.7%
2
 
0.5%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 102
89.5%
~ 7
 
6.1%
+ 4
 
3.5%
× 1
 
0.9%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
10327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29306
64.7%
Common 13919
30.7%
Latin 2054
 
4.5%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
862
 
2.9%
733
 
2.5%
664
 
2.3%
623
 
2.1%
439
 
1.5%
430
 
1.5%
420
 
1.4%
418
 
1.4%
405
 
1.4%
382
 
1.3%
Other values (954) 23930
81.7%
Latin
ValueCountFrequency (%)
e 209
 
10.2%
o 174
 
8.5%
t 147
 
7.2%
i 143
 
7.0%
a 143
 
7.0%
n 135
 
6.6%
r 111
 
5.4%
s 106
 
5.2%
l 71
 
3.5%
h 60
 
2.9%
Other values (41) 755
36.8%
Common
ValueCountFrequency (%)
10327
74.2%
: 1233
 
8.9%
, 344
 
2.5%
) 222
 
1.6%
( 222
 
1.6%
[ 205
 
1.5%
] 205
 
1.5%
. 195
 
1.4%
1 177
 
1.3%
0 128
 
0.9%
Other values (31) 661
 
4.7%
Han
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29306
64.7%
ASCII 15930
35.2%
None 38
 
0.1%
CJK 7
 
< 0.1%
Punctuation 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10327
64.8%
: 1233
 
7.7%
, 344
 
2.2%
) 222
 
1.4%
( 222
 
1.4%
e 209
 
1.3%
[ 205
 
1.3%
] 205
 
1.3%
. 195
 
1.2%
1 177
 
1.1%
Other values (70) 2591
 
16.3%
Hangul
ValueCountFrequency (%)
862
 
2.9%
733
 
2.5%
664
 
2.3%
623
 
2.1%
439
 
1.5%
430
 
1.5%
420
 
1.4%
418
 
1.4%
405
 
1.4%
382
 
1.3%
Other values (954) 23930
81.7%
None
ValueCountFrequency (%)
· 26
68.4%
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
× 1
 
2.6%
1
 
2.6%
1
 
2.6%
CJK
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Geometric Shapes
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct1418
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-11T02:00:02.104936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length53
Mean length14.207688
Min length3

Characters and Unicode

Total characters22917
Distinct characters640
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1266 ?
Unique (%)78.5%

Sample

1st row이래학 지음
2nd row전예홍 지음
3rd row최지호 지음
4th row한용재 지음
5th row이은지 지음 ; 박성영 사진 ; Kim Eunice 옮김
ValueCountFrequency (%)
지음 1056
 
14.9%
1016
 
14.3%
옮김 519
 
7.3%
그림 361
 
5.1%
288
 
4.1%
글·그림 96
 
1.4%
공]지음 60
 
0.8%
원작 31
 
0.4%
20
 
0.3%
일러스트 18
 
0.3%
Other values (2680) 3644
51.3%
2023-12-11T02:00:03.008926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5520
24.1%
1290
 
5.6%
1156
 
5.0%
; 1003
 
4.4%
927
 
4.0%
537
 
2.3%
495
 
2.2%
483
 
2.1%
477
 
2.1%
423
 
1.8%
Other values (630) 10606
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15537
67.8%
Space Separator 5520
 
24.1%
Other Punctuation 1330
 
5.8%
Close Punctuation 150
 
0.7%
Open Punctuation 150
 
0.7%
Lowercase Letter 108
 
0.5%
Uppercase Letter 102
 
0.4%
Decimal Number 11
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1290
 
8.3%
1156
 
7.4%
927
 
6.0%
537
 
3.5%
495
 
3.2%
483
 
3.1%
477
 
3.1%
423
 
2.7%
260
 
1.7%
238
 
1.5%
Other values (567) 9251
59.5%
Lowercase Letter
ValueCountFrequency (%)
e 24
22.2%
i 12
11.1%
o 10
9.3%
a 10
9.3%
n 7
 
6.5%
t 6
 
5.6%
m 5
 
4.6%
c 5
 
4.6%
r 5
 
4.6%
y 3
 
2.8%
Other values (12) 21
19.4%
Uppercase Letter
ValueCountFrequency (%)
T 13
12.7%
K 10
 
9.8%
E 8
 
7.8%
S 7
 
6.9%
J 7
 
6.9%
C 7
 
6.9%
V 7
 
6.9%
L 6
 
5.9%
M 6
 
5.9%
G 5
 
4.9%
Other values (11) 26
25.5%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
2 3
27.3%
5 2
18.2%
4 1
 
9.1%
9 1
 
9.1%
0 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
; 1003
75.4%
, 130
 
9.8%
· 111
 
8.3%
. 86
 
6.5%
Close Punctuation
ValueCountFrequency (%)
] 148
98.7%
1
 
0.7%
) 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
[ 148
98.7%
1
 
0.7%
( 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
5520
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15537
67.8%
Common 7170
31.3%
Latin 210
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1290
 
8.3%
1156
 
7.4%
927
 
6.0%
537
 
3.5%
495
 
3.2%
483
 
3.1%
477
 
3.1%
423
 
2.7%
260
 
1.7%
238
 
1.5%
Other values (567) 9251
59.5%
Latin
ValueCountFrequency (%)
e 24
 
11.4%
T 13
 
6.2%
i 12
 
5.7%
K 10
 
4.8%
o 10
 
4.8%
a 10
 
4.8%
E 8
 
3.8%
n 7
 
3.3%
S 7
 
3.3%
J 7
 
3.3%
Other values (33) 102
48.6%
Common
ValueCountFrequency (%)
5520
77.0%
; 1003
 
14.0%
] 148
 
2.1%
[ 148
 
2.1%
, 130
 
1.8%
· 111
 
1.5%
. 86
 
1.2%
- 7
 
0.1%
1 3
 
< 0.1%
2 3
 
< 0.1%
Other values (10) 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15537
67.8%
ASCII 7267
31.7%
None 113
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5520
76.0%
; 1003
 
13.8%
] 148
 
2.0%
[ 148
 
2.0%
, 130
 
1.8%
. 86
 
1.2%
e 24
 
0.3%
T 13
 
0.2%
i 12
 
0.2%
K 10
 
0.1%
Other values (50) 173
 
2.4%
Hangul
ValueCountFrequency (%)
1290
 
8.3%
1156
 
7.4%
927
 
6.0%
537
 
3.5%
495
 
3.2%
483
 
3.1%
477
 
3.1%
423
 
2.7%
260
 
1.7%
238
 
1.5%
Other values (567) 9251
59.5%
None
ValueCountFrequency (%)
· 111
98.2%
1
 
0.9%
1
 
0.9%
Distinct728
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-11T02:00:03.546829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length4.9739616
Min length1

Characters and Unicode

Total characters8023
Distinct characters516
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique446 ?
Unique (%)27.7%

Sample

1st row경이로움:사이다경제
2nd row이지스퍼블리싱
3rd row골든래빗
4th row제이펍
5th row더테이블:아이콕스
ValueCountFrequency (%)
김영사 59
 
3.6%
위즈덤하우스 28
 
1.7%
산지니 26
 
1.6%
호밀밭 25
 
1.5%
문학동네 24
 
1.5%
창비 24
 
1.5%
비룡소 23
 
1.4%
아울북:북이십일 20
 
1.2%
은행나무 16
 
1.0%
전망 15
 
0.9%
Other values (740) 1381
84.2%
2023-12-11T02:00:04.313168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
308
 
3.8%
: 304
 
3.8%
263
 
3.3%
262
 
3.3%
226
 
2.8%
148
 
1.8%
139
 
1.7%
122
 
1.5%
114
 
1.4%
107
 
1.3%
Other values (506) 6030
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7407
92.3%
Other Punctuation 305
 
3.8%
Lowercase Letter 175
 
2.2%
Uppercase Letter 92
 
1.1%
Space Separator 28
 
0.3%
Decimal Number 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
308
 
4.2%
263
 
3.6%
262
 
3.5%
226
 
3.1%
148
 
2.0%
139
 
1.9%
122
 
1.6%
114
 
1.5%
107
 
1.4%
97
 
1.3%
Other values (459) 5621
75.9%
Uppercase Letter
ValueCountFrequency (%)
B 17
18.5%
R 10
10.9%
P 9
9.8%
K 9
9.8%
H 8
8.7%
E 8
8.7%
T 5
 
5.4%
M 5
 
5.4%
N 4
 
4.3%
L 3
 
3.3%
Other values (10) 14
15.2%
Lowercase Letter
ValueCountFrequency (%)
o 37
21.1%
a 15
8.6%
e 14
 
8.0%
r 14
 
8.0%
b 14
 
8.0%
k 13
 
7.4%
n 13
 
7.4%
s 12
 
6.9%
i 8
 
4.6%
t 7
 
4.0%
Other values (9) 28
16.0%
Decimal Number
ValueCountFrequency (%)
2 7
43.8%
1 6
37.5%
9 1
 
6.2%
8 1
 
6.2%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
: 304
99.7%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7407
92.3%
Common 349
 
4.3%
Latin 267
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
308
 
4.2%
263
 
3.6%
262
 
3.5%
226
 
3.1%
148
 
2.0%
139
 
1.9%
122
 
1.6%
114
 
1.5%
107
 
1.4%
97
 
1.3%
Other values (459) 5621
75.9%
Latin
ValueCountFrequency (%)
o 37
 
13.9%
B 17
 
6.4%
a 15
 
5.6%
e 14
 
5.2%
r 14
 
5.2%
b 14
 
5.2%
k 13
 
4.9%
n 13
 
4.9%
s 12
 
4.5%
R 10
 
3.7%
Other values (29) 108
40.4%
Common
ValueCountFrequency (%)
: 304
87.1%
28
 
8.0%
2 7
 
2.0%
1 6
 
1.7%
& 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
4 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7400
92.2%
ASCII 616
 
7.7%
Compat Jamo 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
308
 
4.2%
263
 
3.6%
262
 
3.5%
226
 
3.1%
148
 
2.0%
139
 
1.9%
122
 
1.6%
114
 
1.5%
107
 
1.4%
97
 
1.3%
Other values (454) 5614
75.9%
ASCII
ValueCountFrequency (%)
: 304
49.4%
o 37
 
6.0%
28
 
4.5%
B 17
 
2.8%
a 15
 
2.4%
e 14
 
2.3%
r 14
 
2.3%
b 14
 
2.3%
k 13
 
2.1%
n 13
 
2.1%
Other values (37) 147
23.9%
Compat Jamo
ValueCountFrequency (%)
3
42.9%
1
 
14.3%
1
 
14.3%
1
 
14.3%
1
 
14.3%

발행년
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023
722 
2022
692 
2021
82 
2020
 
56
2018
 
20
Other values (15)
 
41

Length

Max length6
Median length4
Mean length4.0049597
Min length4

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2023 722
44.8%
2022 692
42.9%
2021 82
 
5.1%
2020 56
 
3.5%
2018 20
 
1.2%
2019 14
 
0.9%
2013 4
 
0.2%
2016 3
 
0.2%
2017 3
 
0.2%
2014 2
 
0.1%
Other values (10) 15
 
0.9%

Length

2023-12-11T02:00:04.561818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023 726
45.0%
2022 693
43.0%
2021 82
 
5.1%
2020 56
 
3.5%
2018 20
 
1.2%
2019 14
 
0.9%
2013 4
 
0.2%
2017 3
 
0.2%
2016 3
 
0.2%
2014 2
 
0.1%
Other values (7) 10
 
0.6%

자료실명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
[정관]종합자료열람실
1103 
[정관]어린이자료실
509 
[정관]스마트도서관(월내역)
 
1

Length

Max length15
Median length11
Mean length10.686919
Min length10

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row[정관]종합자료열람실
2nd row[정관]종합자료열람실
3rd row[정관]종합자료열람실
4th row[정관]종합자료열람실
5th row[정관]종합자료열람실

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 1103
68.4%
[정관]어린이자료실 509
31.6%
[정관]스마트도서관(월내역) 1
 
0.1%

Length

2023-12-11T02:00:04.814086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:00:05.001473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 1103
68.4%
정관]어린이자료실 509
31.6%
정관]스마트도서관(월내역 1
 
0.1%

Interactions

2023-12-11T01:59:59.461135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:00:05.138865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.5380.520
발행년0.5381.0000.199
자료실명0.5200.1991.000
2023-12-11T02:00:05.300904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실명발행년
자료실명1.0000.105
발행년0.1051.000
2023-12-11T02:00:05.446379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1980.365
발행년0.1981.0000.105
자료실명0.3650.1051.000

Missing values

2023-12-11T01:59:59.664786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:59:59.822196image/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

순번서명저작자발행자발행년자료실명
01(2023)대한민국 산업지도 : 투자자를 위한 업종별 투자 가이드이래학 지음경이로움:사이다경제2023[정관]종합자료열람실
12(Do it!)리액트 모던 웹 개발 with 타입스크립트=Do it! react modern web development with typescript : SPA와 REST API 서버 만들기!전예홍 지음이지스퍼블리싱2023[정관]종합자료열람실
23코드팩토리의 플러터 프로그래밍 : 인프런 No.1 플러터 강사와 함께 왕초보 실력을 현업 수준으로 끌어올리기최지호 지음골든래빗2023[정관]종합자료열람실
34NestJS로 배우는 백엔드 프로그래밍 : 타입스크립트 환경의 차세대 서버 프레임워크를 만나다한용재 지음제이펍2022[정관]종합자료열람실
45플레이팅 디저트=Plating dessert이은지 지음 ; 박성영 사진 ; Kim Eunice 옮김더테이블:아이콕스2022[정관]종합자료열람실
56트래블 케이크 바이 가루하루=Travel cake by Garuharu윤은영 지음 ; 박성영 사진 ; Kim Eunice 옮김더테이블:아이콕스2022[정관]종합자료열람실
67괜찮다는 오해 : 인썸 에세이인썸 지음강한별2022[정관]종합자료열람실
78(남몰래 웅크리고 있는)내 안의 어린아이에게 : 김이나 에세이김이나 지음 ; 동지 일러스트삼호ETM2022[정관]종합자료열람실
89(Disney·Pixar)Toy story storybook[월트 디즈니 원작] ; [삼호ETM 편집부 옮김]삼호ETM[2022][정관]어린이자료실
910너에게 노래 같은 사람이 될래 : 태로리 시집태로리 지음하움2022[정관]종합자료열람실
순번서명저작자발행자발행년자료실명
16031604싸워도 돼요고대영 글 ; 김영진 그림길벗어린이2013[정관]어린이자료실
16041605용돈 주세요고대영 글 ; 김영진 그림길벗어린이2007[정관]어린이자료실
16051606우리 같이 착한 소비 : 선생님이 알려 주는 소비자 경제 이야기조희정 글 ; 나인완 그림그레이트북스2021[정관]어린이자료실
16061607우리 아파트의 별난 이웃들에리카 에스모리스 글 ; 후안 베리오 그림 ; 남진희 옮김꿈꾸는섬2021[정관]어린이자료실
16071608우리 아파트의 별난 이웃들에리카 에스모리스 글 ; 후안 베리오 그림 ; 남진희 옮김꿈꾸는섬2021[정관]어린이자료실
16081609좋아 싫어 대신 뭐라고 말하지 : 어린이 감정 공부 그림책송현지 글 ; 순두부 그림이야기공간2023[정관]어린이자료실
16091610좋아 싫어 대신 뭐라고 말하지 : 어린이 감정 공부 그림책송현지 글 ; 순두부 그림이야기공간2023[정관]어린이자료실
16101611지하철을 타고서고대영 글 ; 김영진 그림길벗어린이2006[정관]어린이자료실
16111612집 안 치우기고대영 글 ; 김영진 그림길벗어린이2010[정관]어린이자료실
16121613칭찬 먹으러 가요고대영 글 ; 김영진 그림길벗어린이2012[정관]어린이자료실