Overview

Dataset statistics

Number of variables6
Number of observations990
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.5 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20220430
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060473

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:01:43.025651
Analysis finished2023-12-10 17:01:45.651619
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct990
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean495.5
Minimum1
Maximum990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T02:01:45.787679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.45
Q1248.25
median495.5
Q3742.75
95-th percentile940.55
Maximum990
Range989
Interquartile range (IQR)494.5

Descriptive statistics

Standard deviation285.93268
Coefficient of variation (CV)0.5770589
Kurtosis-1.2
Mean495.5
Median Absolute Deviation (MAD)247.5
Skewness0
Sum490545
Variance81757.5
MonotonicityStrictly increasing
2023-12-11T02:01:46.017642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
652 1
 
0.1%
654 1
 
0.1%
655 1
 
0.1%
656 1
 
0.1%
657 1
 
0.1%
658 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
Other values (980) 980
99.0%
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 (%)
990 1
0.1%
989 1
0.1%
988 1
0.1%
987 1
0.1%
986 1
0.1%
985 1
0.1%
984 1
0.1%
983 1
0.1%
982 1
0.1%
981 1
0.1%

서명
Text

Distinct942
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T02:01:46.570906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length58
Mean length26.710101
Min length2

Characters and Unicode

Total characters26443
Distinct characters945
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique902 ?
Unique (%)91.1%

Sample

1st row(Do it!)플러터 앱 프로그래밍 : 오픈 API 활용 + 파이어베이스 + 구글 맵 + 광고 수익까지
2nd row관통당한 몸 : 이라크에서 버마까지, 역사의 방관자이기를 거부한 여성들의 이야기
3rd row기묘한 모모 한약방. 4, 위험한데 위반해제탕
4th row나는 간이역입니다 : 그냥 편하게 쉬고 싶은 곳
5th row닌니와 악몽 가게. 1, 끔찍한 간지럼 가루의 비밀
ValueCountFrequency (%)
557
 
8.0%
위한 49
 
0.7%
장편소설 39
 
0.6%
이야기 38
 
0.5%
2 27
 
0.4%
20
 
0.3%
우리 20
 
0.3%
나는 19
 
0.3%
어떻게 19
 
0.3%
나를 18
 
0.3%
Other values (3998) 6117
88.4%
2023-12-11T02:01:47.303085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5933
 
22.4%
: 558
 
2.1%
471
 
1.8%
471
 
1.8%
430
 
1.6%
272
 
1.0%
271
 
1.0%
, 265
 
1.0%
258
 
1.0%
242
 
0.9%
Other values (935) 17272
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17081
64.6%
Space Separator 5933
 
22.4%
Lowercase Letter 1220
 
4.6%
Other Punctuation 1080
 
4.1%
Decimal Number 526
 
2.0%
Uppercase Letter 209
 
0.8%
Open Punctuation 150
 
0.6%
Close Punctuation 150
 
0.6%
Math Symbol 85
 
0.3%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
471
 
2.8%
471
 
2.8%
430
 
2.5%
272
 
1.6%
271
 
1.6%
258
 
1.5%
242
 
1.4%
227
 
1.3%
221
 
1.3%
216
 
1.3%
Other values (859) 14002
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 160
13.1%
n 106
 
8.7%
a 95
 
7.8%
t 91
 
7.5%
r 88
 
7.2%
o 87
 
7.1%
s 82
 
6.7%
i 78
 
6.4%
u 57
 
4.7%
g 54
 
4.4%
Other values (14) 322
26.4%
Uppercase Letter
ValueCountFrequency (%)
E 27
12.9%
T 24
11.5%
A 23
11.0%
S 18
 
8.6%
C 16
 
7.7%
I 13
 
6.2%
K 10
 
4.8%
P 9
 
4.3%
M 9
 
4.3%
V 8
 
3.8%
Other values (13) 52
24.9%
Decimal Number
ValueCountFrequency (%)
2 124
23.6%
0 111
21.1%
1 94
17.9%
3 59
11.2%
5 35
 
6.7%
4 34
 
6.5%
6 25
 
4.8%
9 18
 
3.4%
8 13
 
2.5%
7 13
 
2.5%
Other Punctuation
ValueCountFrequency (%)
: 558
51.7%
, 265
24.5%
. 144
 
13.3%
! 68
 
6.3%
· 18
 
1.7%
' 16
 
1.5%
& 10
 
0.9%
% 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 72
84.7%
~ 9
 
10.6%
+ 3
 
3.5%
1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 149
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 149
99.3%
] 1
 
0.7%
Space Separator
ValueCountFrequency (%)
5933
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17081
64.6%
Common 7932
30.0%
Latin 1430
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
471
 
2.8%
471
 
2.8%
430
 
2.5%
272
 
1.6%
271
 
1.6%
258
 
1.5%
242
 
1.4%
227
 
1.3%
221
 
1.3%
216
 
1.3%
Other values (859) 14002
82.0%
Latin
ValueCountFrequency (%)
e 160
 
11.2%
n 106
 
7.4%
a 95
 
6.6%
t 91
 
6.4%
r 88
 
6.2%
o 87
 
6.1%
s 82
 
5.7%
i 78
 
5.5%
u 57
 
4.0%
g 54
 
3.8%
Other values (38) 532
37.2%
Common
ValueCountFrequency (%)
5933
74.8%
: 558
 
7.0%
, 265
 
3.3%
( 149
 
1.9%
) 149
 
1.9%
. 144
 
1.8%
2 124
 
1.6%
0 111
 
1.4%
1 94
 
1.2%
= 72
 
0.9%
Other values (18) 333
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17076
64.6%
ASCII 9342
35.3%
None 18
 
0.1%
Compat Jamo 5
 
< 0.1%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5933
63.5%
: 558
 
6.0%
, 265
 
2.8%
e 160
 
1.7%
( 149
 
1.6%
) 149
 
1.6%
. 144
 
1.5%
2 124
 
1.3%
0 111
 
1.2%
n 106
 
1.1%
Other values (63) 1643
 
17.6%
Hangul
ValueCountFrequency (%)
471
 
2.8%
471
 
2.8%
430
 
2.5%
272
 
1.6%
271
 
1.6%
258
 
1.5%
242
 
1.4%
227
 
1.3%
221
 
1.3%
216
 
1.3%
Other values (854) 13997
82.0%
None
ValueCountFrequency (%)
· 18
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct872
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T02:01:47.808226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length14.534343
Min length5

Characters and Unicode

Total characters14389
Distinct characters570
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique793 ?
Unique (%)80.1%

Sample

1st row조준수 지음
2nd row크리스티나 램 지음 ; 강경이 옮김
3rd row히로시마 레이코 글 ; 다나카 아이 그림 ; 김난주 옮김
4th row김원희 지음
5th row막달레나 하이 글 ; 테무 주하니 그림 ; 정보람 옮김
ValueCountFrequency (%)
641
 
14.5%
지음 640
 
14.5%
옮김 318
 
7.2%
그림 277
 
6.3%
229
 
5.2%
글·그림 30
 
0.7%
27
 
0.6%
원작 26
 
0.6%
공]지음 23
 
0.5%
14
 
0.3%
Other values (1715) 2202
49.7%
2023-12-11T02:01:48.553280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3438
23.9%
747
 
5.2%
688
 
4.8%
; 641
 
4.5%
572
 
4.0%
331
 
2.3%
327
 
2.3%
320
 
2.2%
306
 
2.1%
292
 
2.0%
Other values (560) 6727
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9707
67.5%
Space Separator 3438
 
23.9%
Other Punctuation 836
 
5.8%
Close Punctuation 123
 
0.9%
Open Punctuation 123
 
0.9%
Uppercase Letter 81
 
0.6%
Lowercase Letter 74
 
0.5%
Dash Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
747
 
7.7%
688
 
7.1%
572
 
5.9%
331
 
3.4%
327
 
3.4%
320
 
3.3%
306
 
3.2%
292
 
3.0%
177
 
1.8%
147
 
1.5%
Other values (506) 5800
59.8%
Lowercase Letter
ValueCountFrequency (%)
o 10
13.5%
a 9
12.2%
i 7
9.5%
e 6
 
8.1%
m 6
 
8.1%
r 5
 
6.8%
t 5
 
6.8%
h 4
 
5.4%
y 3
 
4.1%
u 3
 
4.1%
Other values (11) 16
21.6%
Uppercase Letter
ValueCountFrequency (%)
T 18
22.2%
V 7
 
8.6%
A 5
 
6.2%
S 5
 
6.2%
N 5
 
6.2%
K 4
 
4.9%
M 4
 
4.9%
C 4
 
4.9%
E 4
 
4.9%
Y 3
 
3.7%
Other values (10) 22
27.2%
Other Punctuation
ValueCountFrequency (%)
; 641
76.7%
, 88
 
10.5%
. 70
 
8.4%
· 37
 
4.4%
Close Punctuation
ValueCountFrequency (%)
] 114
92.7%
) 9
 
7.3%
Open Punctuation
ValueCountFrequency (%)
[ 114
92.7%
( 9
 
7.3%
Math Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
3438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9707
67.5%
Common 4527
31.5%
Latin 155
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
747
 
7.7%
688
 
7.1%
572
 
5.9%
331
 
3.4%
327
 
3.4%
320
 
3.3%
306
 
3.2%
292
 
3.0%
177
 
1.8%
147
 
1.5%
Other values (506) 5800
59.8%
Latin
ValueCountFrequency (%)
T 18
 
11.6%
o 10
 
6.5%
a 9
 
5.8%
i 7
 
4.5%
V 7
 
4.5%
e 6
 
3.9%
m 6
 
3.9%
r 5
 
3.2%
A 5
 
3.2%
S 5
 
3.2%
Other values (31) 77
49.7%
Common
ValueCountFrequency (%)
3438
75.9%
; 641
 
14.2%
] 114
 
2.5%
[ 114
 
2.5%
, 88
 
1.9%
. 70
 
1.5%
· 37
 
0.8%
) 9
 
0.2%
( 9
 
0.2%
- 4
 
0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9698
67.4%
ASCII 4643
32.3%
None 39
 
0.3%
Compat Jamo 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3438
74.0%
; 641
 
13.8%
] 114
 
2.5%
[ 114
 
2.5%
, 88
 
1.9%
. 70
 
1.5%
T 18
 
0.4%
o 10
 
0.2%
) 9
 
0.2%
( 9
 
0.2%
Other values (41) 132
 
2.8%
Hangul
ValueCountFrequency (%)
747
 
7.7%
688
 
7.1%
572
 
5.9%
331
 
3.4%
327
 
3.4%
320
 
3.3%
306
 
3.2%
292
 
3.0%
177
 
1.8%
147
 
1.5%
Other values (505) 5791
59.7%
None
ValueCountFrequency (%)
· 37
94.9%
1
 
2.6%
1
 
2.6%
Compat Jamo
ValueCountFrequency (%)
9
100.0%
Distinct612
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T02:01:48.997898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length4.9040404
Min length1

Characters and Unicode

Total characters4855
Distinct characters468
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)45.2%

Sample

1st row이지스퍼블리싱
2nd row한겨레
3rd row아이세움:미래엔
4th row봄빛서원
5th row길벗스쿨
ValueCountFrequency (%)
서울문화사 19
 
1.9%
아이세움:미래엔 19
 
1.9%
아울북:북이십일 17
 
1.7%
창비 16
 
1.6%
사계절 14
 
1.4%
문학동네 14
 
1.4%
위즈덤하우스 11
 
1.1%
김영사 10
 
1.0%
봄이아트북스 10
 
1.0%
비룡소 9
 
0.9%
Other values (614) 873
86.3%
2023-12-11T02:01:49.696323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
4.0%
188
 
3.9%
176
 
3.6%
: 133
 
2.7%
126
 
2.6%
114
 
2.3%
91
 
1.9%
80
 
1.6%
77
 
1.6%
72
 
1.5%
Other values (458) 3603
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4475
92.2%
Other Punctuation 136
 
2.8%
Lowercase Letter 132
 
2.7%
Uppercase Letter 75
 
1.5%
Space Separator 22
 
0.5%
Decimal Number 14
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
195
 
4.4%
188
 
4.2%
176
 
3.9%
126
 
2.8%
114
 
2.5%
91
 
2.0%
80
 
1.8%
77
 
1.7%
72
 
1.6%
66
 
1.5%
Other values (414) 3290
73.5%
Lowercase Letter
ValueCountFrequency (%)
i 17
12.9%
o 17
12.9%
k 14
10.6%
a 14
10.6%
e 13
9.8%
n 11
8.3%
s 7
 
5.3%
r 6
 
4.5%
m 5
 
3.8%
u 4
 
3.0%
Other values (10) 24
18.2%
Uppercase Letter
ValueCountFrequency (%)
B 15
20.0%
M 9
12.0%
O 8
10.7%
K 8
10.7%
S 7
9.3%
P 6
 
8.0%
R 4
 
5.3%
T 3
 
4.0%
D 3
 
4.0%
H 3
 
4.0%
Other values (6) 9
12.0%
Other Punctuation
ValueCountFrequency (%)
: 133
97.8%
& 2
 
1.5%
. 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 10
71.4%
1 3
 
21.4%
4 1
 
7.1%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4476
92.2%
Latin 207
 
4.3%
Common 172
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
195
 
4.4%
188
 
4.2%
176
 
3.9%
126
 
2.8%
114
 
2.5%
91
 
2.0%
80
 
1.8%
77
 
1.7%
72
 
1.6%
66
 
1.5%
Other values (415) 3291
73.5%
Latin
ValueCountFrequency (%)
i 17
 
8.2%
o 17
 
8.2%
B 15
 
7.2%
k 14
 
6.8%
a 14
 
6.8%
e 13
 
6.3%
n 11
 
5.3%
M 9
 
4.3%
O 8
 
3.9%
K 8
 
3.9%
Other values (26) 81
39.1%
Common
ValueCountFrequency (%)
: 133
77.3%
22
 
12.8%
2 10
 
5.8%
1 3
 
1.7%
& 2
 
1.2%
4 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4475
92.2%
ASCII 379
 
7.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
195
 
4.4%
188
 
4.2%
176
 
3.9%
126
 
2.8%
114
 
2.5%
91
 
2.0%
80
 
1.8%
77
 
1.7%
72
 
1.6%
66
 
1.5%
Other values (414) 3290
73.5%
ASCII
ValueCountFrequency (%)
: 133
35.1%
22
 
5.8%
i 17
 
4.5%
o 17
 
4.5%
B 15
 
4.0%
k 14
 
3.7%
a 14
 
3.7%
e 13
 
3.4%
n 11
 
2.9%
2 10
 
2.6%
Other values (33) 113
29.8%
None
ValueCountFrequency (%)
1
100.0%

발행년
Real number (ℝ)

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.5727
Minimum2008
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T02:01:49.914608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2020
Q12022
median2022
Q32022
95-th percentile2022
Maximum2022
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2479563
Coefficient of variation (CV)0.00061731953
Kurtosis57.825173
Mean2021.5727
Median Absolute Deviation (MAD)0
Skewness-6.6170296
Sum2001357
Variance1.557395
MonotonicityNot monotonic
2023-12-11T02:01:50.117854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2022 758
76.6%
2021 154
 
15.6%
2020 43
 
4.3%
2019 16
 
1.6%
2018 10
 
1.0%
2010 3
 
0.3%
2009 2
 
0.2%
2014 1
 
0.1%
2008 1
 
0.1%
2017 1
 
0.1%
ValueCountFrequency (%)
2008 1
 
0.1%
2009 2
 
0.2%
2010 3
 
0.3%
2014 1
 
0.1%
2016 1
 
0.1%
2017 1
 
0.1%
2018 10
 
1.0%
2019 16
 
1.6%
2020 43
 
4.3%
2021 154
15.6%
ValueCountFrequency (%)
2022 758
76.6%
2021 154
 
15.6%
2020 43
 
4.3%
2019 16
 
1.6%
2018 10
 
1.0%
2017 1
 
0.1%
2016 1
 
0.1%
2014 1
 
0.1%
2010 3
 
0.3%
2009 2
 
0.2%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
[정관]종합자료열람실
600 
[정관]어린이자료실
390 

Length

Max length11
Median length11
Mean length10.606061
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 600
60.6%
[정관]어린이자료실 390
39.4%

Length

2023-12-11T02:01:50.326809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:50.504202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 600
60.6%
정관]어린이자료실 390
39.4%

Interactions

2023-12-11T02:01:44.901901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:44.540246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:45.108791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:44.718828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:01:50.607901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.2480.808
발행년0.2481.0000.080
자료실명0.8080.0801.000
2023-12-11T02:01:50.771852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.0640.639
발행년0.0641.0000.072
자료실명0.6390.0721.000

Missing values

2023-12-11T02:01:45.375215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:45.565814image/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

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12관통당한 몸 : 이라크에서 버마까지, 역사의 방관자이기를 거부한 여성들의 이야기크리스티나 램 지음 ; 강경이 옮김한겨레2022[정관]종합자료열람실
23기묘한 모모 한약방. 4, 위험한데 위반해제탕히로시마 레이코 글 ; 다나카 아이 그림 ; 김난주 옮김아이세움:미래엔2021[정관]어린이자료실
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45닌니와 악몽 가게. 1, 끔찍한 간지럼 가루의 비밀막달레나 하이 글 ; 테무 주하니 그림 ; 정보람 옮김길벗스쿨2022[정관]어린이자료실
56데이터 리터러시=Data literacy : AI 시대를 지배하는 힘강양석 지음이콘2021[정관]종합자료열람실
67리안의 수학 모험. 15, 들이(연계학년 3학년)[위두커뮤니케이션즈 편집부 편]위두커뮤니케이션즈2022[정관]어린이자료실
78모던 자바스크립트 deep dive : 자바스크립트의 기본 개념과 동작 원리이웅모 지음위키북스2021[정관]종합자료열람실
89모두의 떡볶이홍신애 지음맛있는책방2021[정관]종합자료열람실
910민주주의 개론에이먼 버틀러 지음 ; 황수연 옮김리버티2021[정관]종합자료열람실
순번서명저작자발행자발행년자료실명
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985986(한눈에 새기는)찰칵 한국사. 2, 고려~조선 전기김봉수 외 지음 ; 임유 그림성안당2022[정관]어린이자료실
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