Overview

Dataset statistics

Number of variables6
Number of observations1144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.0 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20210430
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060473

Alerts

순번 is highly overall correlated with 발행년 and 1 other fieldsHigh correlation
발행년 is highly overall correlated with 순번High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:03:02.161328
Analysis finished2023-12-10 17:03:04.702465
Duration2.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean572.5
Minimum1
Maximum1144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T02:03:04.828809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.15
Q1286.75
median572.5
Q3858.25
95-th percentile1086.85
Maximum1144
Range1143
Interquartile range (IQR)571.5

Descriptive statistics

Standard deviation330.38866
Coefficient of variation (CV)0.5770981
Kurtosis-1.2
Mean572.5
Median Absolute Deviation (MAD)286
Skewness0
Sum654940
Variance109156.67
MonotonicityStrictly increasing
2023-12-11T02:03:05.077807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
762 1
 
0.1%
768 1
 
0.1%
767 1
 
0.1%
766 1
 
0.1%
765 1
 
0.1%
764 1
 
0.1%
763 1
 
0.1%
761 1
 
0.1%
770 1
 
0.1%
Other values (1134) 1134
99.1%
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 (%)
1144 1
0.1%
1143 1
0.1%
1142 1
0.1%
1141 1
0.1%
1140 1
0.1%
1139 1
0.1%
1138 1
0.1%
1137 1
0.1%
1136 1
0.1%
1135 1
0.1%

서명
Text

Distinct1126
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T02:03:05.642812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length60
Mean length23.29458
Min length2

Characters and Unicode

Total characters26649
Distinct characters879
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1110 ?
Unique (%)97.0%

Sample

1st row(A) new green day
2nd rowOutdoor Opposites
3rd rowSpace song rocket ride
4th row(The) more we get together
5th rowWe Are Water Protectors
ValueCountFrequency (%)
442
 
7.0%
the 135
 
2.1%
and 48
 
0.8%
이야기 42
 
0.7%
a 39
 
0.6%
장편소설 36
 
0.6%
위한 24
 
0.4%
22
 
0.3%
little 21
 
0.3%
그림책 21
 
0.3%
Other values (3657) 5518
86.9%
2023-12-11T02:03:06.412427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5204
 
19.5%
e 854
 
3.2%
a 536
 
2.0%
o 532
 
2.0%
t 527
 
2.0%
r 519
 
1.9%
i 477
 
1.8%
s 466
 
1.7%
: 427
 
1.6%
n 419
 
1.6%
Other values (869) 16688
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12156
45.6%
Lowercase Letter 6795
25.5%
Space Separator 5204
19.5%
Other Punctuation 894
 
3.4%
Uppercase Letter 894
 
3.4%
Decimal Number 236
 
0.9%
Open Punctuation 197
 
0.7%
Close Punctuation 197
 
0.7%
Math Symbol 52
 
0.2%
Dash Punctuation 21
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
380
 
3.1%
342
 
2.8%
285
 
2.3%
196
 
1.6%
183
 
1.5%
179
 
1.5%
171
 
1.4%
152
 
1.3%
151
 
1.2%
150
 
1.2%
Other values (786) 9967
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 854
12.6%
a 536
 
7.9%
o 532
 
7.8%
t 527
 
7.8%
r 519
 
7.6%
i 477
 
7.0%
s 466
 
6.9%
n 419
 
6.2%
h 383
 
5.6%
l 334
 
4.9%
Other values (16) 1748
25.7%
Uppercase Letter
ValueCountFrequency (%)
T 117
13.1%
S 90
 
10.1%
A 80
 
8.9%
C 53
 
5.9%
M 52
 
5.8%
L 47
 
5.3%
D 47
 
5.3%
B 46
 
5.1%
W 46
 
5.1%
P 43
 
4.8%
Other values (16) 273
30.5%
Other Punctuation
ValueCountFrequency (%)
: 427
47.8%
, 164
 
18.3%
! 83
 
9.3%
. 77
 
8.6%
' 68
 
7.6%
? 42
 
4.7%
· 17
 
1.9%
& 14
 
1.6%
% 1
 
0.1%
1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 73
30.9%
2 38
16.1%
0 35
14.8%
3 28
 
11.9%
5 16
 
6.8%
4 15
 
6.4%
6 9
 
3.8%
7 8
 
3.4%
9 7
 
3.0%
8 7
 
3.0%
Math Symbol
ValueCountFrequency (%)
= 43
82.7%
~ 4
 
7.7%
> 2
 
3.8%
< 2
 
3.8%
+ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
5204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12156
45.6%
Latin 7689
28.9%
Common 6804
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
380
 
3.1%
342
 
2.8%
285
 
2.3%
196
 
1.6%
183
 
1.5%
179
 
1.5%
171
 
1.4%
152
 
1.3%
151
 
1.2%
150
 
1.2%
Other values (786) 9967
82.0%
Latin
ValueCountFrequency (%)
e 854
 
11.1%
a 536
 
7.0%
o 532
 
6.9%
t 527
 
6.9%
r 519
 
6.7%
i 477
 
6.2%
s 466
 
6.1%
n 419
 
5.4%
h 383
 
5.0%
l 334
 
4.3%
Other values (42) 2642
34.4%
Common
ValueCountFrequency (%)
5204
76.5%
: 427
 
6.3%
( 197
 
2.9%
) 197
 
2.9%
, 164
 
2.4%
! 83
 
1.2%
. 77
 
1.1%
1 73
 
1.1%
' 68
 
1.0%
= 43
 
0.6%
Other values (21) 271
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14472
54.3%
Hangul 12153
45.6%
None 17
 
0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5204
36.0%
e 854
 
5.9%
a 536
 
3.7%
o 532
 
3.7%
t 527
 
3.6%
r 519
 
3.6%
i 477
 
3.3%
s 466
 
3.2%
: 427
 
3.0%
n 419
 
2.9%
Other values (69) 4511
31.2%
Hangul
ValueCountFrequency (%)
380
 
3.1%
342
 
2.8%
285
 
2.3%
196
 
1.6%
183
 
1.5%
179
 
1.5%
171
 
1.4%
152
 
1.3%
151
 
1.2%
150
 
1.2%
Other values (785) 9964
82.0%
None
ValueCountFrequency (%)
· 17
100.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Distinct960
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T02:03:06.998567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length74
Mean length19.758741
Min length5

Characters and Unicode

Total characters22604
Distinct characters556
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique879 ?
Unique (%)76.8%

Sample

1st rowby Antoinette Portis
2nd rowby Brenda Williams,Rachel Oldfield
3rd rowwritten by Sunny Scribens,illustrated by David Sim
4th rowwritten by Celeste Cortright ; illustrated by Betania Zacarias ; sung by Audra Mariel,Kena Anae
5th rowwritten by Carole Lindstrom ; illustrated by Michaela Goade
ValueCountFrequency (%)
743
 
13.2%
지음 476
 
8.4%
by 442
 
7.8%
그림 275
 
4.9%
옮김 258
 
4.6%
176
 
3.1%
illustrated 99
 
1.8%
글·그림 46
 
0.8%
written 42
 
0.7%
공]지음 39
 
0.7%
Other values (2091) 3049
54.0%
2023-12-11T02:03:07.760788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4501
 
19.9%
a 758
 
3.4%
e 755
 
3.3%
; 742
 
3.3%
r 618
 
2.7%
592
 
2.6%
i 586
 
2.6%
y 576
 
2.5%
l 554
 
2.5%
542
 
2.4%
Other values (546) 12380
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8440
37.3%
Lowercase Letter 7416
32.8%
Space Separator 4501
19.9%
Uppercase Letter 1098
 
4.9%
Other Punctuation 952
 
4.2%
Close Punctuation 96
 
0.4%
Open Punctuation 96
 
0.4%
Dash Punctuation 4
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
592
 
7.0%
542
 
6.4%
474
 
5.6%
351
 
4.2%
348
 
4.1%
270
 
3.2%
261
 
3.1%
244
 
2.9%
133
 
1.6%
128
 
1.5%
Other values (484) 5097
60.4%
Lowercase Letter
ValueCountFrequency (%)
a 758
10.2%
e 755
10.2%
r 618
 
8.3%
i 586
 
7.9%
y 576
 
7.8%
l 554
 
7.5%
t 514
 
6.9%
b 478
 
6.4%
n 441
 
5.9%
o 341
 
4.6%
Other values (15) 1795
24.2%
Uppercase Letter
ValueCountFrequency (%)
M 137
12.5%
T 93
 
8.5%
S 88
 
8.0%
A 86
 
7.8%
D 80
 
7.3%
R 67
 
6.1%
B 66
 
6.0%
C 56
 
5.1%
J 53
 
4.8%
L 48
 
4.4%
Other values (15) 324
29.5%
Other Punctuation
ValueCountFrequency (%)
; 742
77.9%
, 84
 
8.8%
. 71
 
7.5%
· 54
 
5.7%
' 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 95
99.0%
) 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
[ 95
99.0%
( 1
 
1.0%
Space Separator
ValueCountFrequency (%)
4501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8514
37.7%
Hangul 8440
37.3%
Common 5650
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
592
 
7.0%
542
 
6.4%
474
 
5.6%
351
 
4.2%
348
 
4.1%
270
 
3.2%
261
 
3.1%
244
 
2.9%
133
 
1.6%
128
 
1.5%
Other values (484) 5097
60.4%
Latin
ValueCountFrequency (%)
a 758
 
8.9%
e 755
 
8.9%
r 618
 
7.3%
i 586
 
6.9%
y 576
 
6.8%
l 554
 
6.5%
t 514
 
6.0%
b 478
 
5.6%
n 441
 
5.2%
o 341
 
4.0%
Other values (40) 2893
34.0%
Common
ValueCountFrequency (%)
4501
79.7%
; 742
 
13.1%
] 95
 
1.7%
[ 95
 
1.7%
, 84
 
1.5%
. 71
 
1.3%
· 54
 
1.0%
- 4
 
0.1%
8 1
 
< 0.1%
( 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14110
62.4%
Hangul 8440
37.3%
None 54
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4501
31.9%
a 758
 
5.4%
e 755
 
5.4%
; 742
 
5.3%
r 618
 
4.4%
i 586
 
4.2%
y 576
 
4.1%
l 554
 
3.9%
t 514
 
3.6%
b 478
 
3.4%
Other values (51) 4028
28.5%
Hangul
ValueCountFrequency (%)
592
 
7.0%
542
 
6.4%
474
 
5.6%
351
 
4.2%
348
 
4.1%
270
 
3.2%
261
 
3.1%
244
 
2.9%
133
 
1.6%
128
 
1.5%
Other values (484) 5097
60.4%
None
ValueCountFrequency (%)
· 54
100.0%
Distinct623
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T02:03:08.121342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length36
Mean length8.2141608
Min length1

Characters and Unicode

Total characters9397
Distinct characters448
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique427 ?
Unique (%)37.3%

Sample

1st rowNeal Porter Books
2nd rowBarefoot books
3rd rowBarefoot Books
4th rowBarefoot Books
5th rowRoaring Brook Press
ValueCountFrequency (%)
books 76
 
4.8%
scholastic 39
 
2.5%
press 38
 
2.4%
little 35
 
2.2%
children's 32
 
2.0%
brown 24
 
1.5%
igloo 23
 
1.5%
harpercollins 20
 
1.3%
andersen 20
 
1.3%
egmont 17
 
1.1%
Other values (650) 1257
79.5%
2023-12-11T02:03:08.773606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 472
 
5.0%
439
 
4.7%
e 433
 
4.6%
r 402
 
4.3%
s 378
 
4.0%
i 367
 
3.9%
l 356
 
3.8%
n 305
 
3.2%
a 258
 
2.7%
t 231
 
2.5%
Other values (438) 5756
61.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4262
45.4%
Other Letter 3693
39.3%
Uppercase Letter 812
 
8.6%
Space Separator 439
 
4.7%
Other Punctuation 185
 
2.0%
Decimal Number 4
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
146
 
4.0%
127
 
3.4%
104
 
2.8%
102
 
2.8%
97
 
2.6%
73
 
2.0%
65
 
1.8%
62
 
1.7%
54
 
1.5%
53
 
1.4%
Other values (376) 2810
76.1%
Lowercase Letter
ValueCountFrequency (%)
o 472
11.1%
e 433
10.2%
r 402
9.4%
s 378
8.9%
i 367
8.6%
l 356
 
8.4%
n 305
 
7.2%
a 258
 
6.1%
t 231
 
5.4%
h 147
 
3.4%
Other values (15) 913
21.4%
Uppercase Letter
ValueCountFrequency (%)
B 139
17.1%
P 85
10.5%
C 83
10.2%
S 68
8.4%
L 62
 
7.6%
H 60
 
7.4%
F 47
 
5.8%
A 41
 
5.0%
T 34
 
4.2%
M 33
 
4.1%
Other values (15) 160
19.7%
Other Punctuation
ValueCountFrequency (%)
: 118
63.8%
' 33
 
17.8%
& 14
 
7.6%
, 11
 
5.9%
/ 4
 
2.2%
. 3
 
1.6%
# 2
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Space Separator
ValueCountFrequency (%)
439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5074
54.0%
Hangul 3693
39.3%
Common 630
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
146
 
4.0%
127
 
3.4%
104
 
2.8%
102
 
2.8%
97
 
2.6%
73
 
2.0%
65
 
1.8%
62
 
1.7%
54
 
1.5%
53
 
1.4%
Other values (376) 2810
76.1%
Latin
ValueCountFrequency (%)
o 472
 
9.3%
e 433
 
8.5%
r 402
 
7.9%
s 378
 
7.4%
i 367
 
7.2%
l 356
 
7.0%
n 305
 
6.0%
a 258
 
5.1%
t 231
 
4.6%
h 147
 
2.9%
Other values (40) 1725
34.0%
Common
ValueCountFrequency (%)
439
69.7%
: 118
 
18.7%
' 33
 
5.2%
& 14
 
2.2%
, 11
 
1.7%
/ 4
 
0.6%
2 3
 
0.5%
. 3
 
0.5%
# 2
 
0.3%
1 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5704
60.7%
Hangul 3693
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 472
 
8.3%
439
 
7.7%
e 433
 
7.6%
r 402
 
7.0%
s 378
 
6.6%
i 367
 
6.4%
l 356
 
6.2%
n 305
 
5.3%
a 258
 
4.5%
t 231
 
4.0%
Other values (52) 2063
36.2%
Hangul
ValueCountFrequency (%)
146
 
4.0%
127
 
3.4%
104
 
2.8%
102
 
2.8%
97
 
2.6%
73
 
2.0%
65
 
1.8%
62
 
1.7%
54
 
1.5%
53
 
1.4%
Other values (376) 2810
76.1%

발행년
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.7701
Minimum1998
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2023-12-11T02:03:09.010731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1998
5-th percentile2011
Q12017
median2021
Q32021
95-th percentile2021
Maximum2021
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6830388
Coefficient of variation (CV)0.0018243973
Kurtosis4.5687927
Mean2018.7701
Median Absolute Deviation (MAD)0
Skewness-2.0653618
Sum2309473
Variance13.564775
MonotonicityNot monotonic
2023-12-11T02:03:09.207012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2021 640
55.9%
2020 123
 
10.8%
2017 70
 
6.1%
2018 49
 
4.3%
2014 46
 
4.0%
2019 41
 
3.6%
2016 32
 
2.8%
2015 31
 
2.7%
2013 29
 
2.5%
2007 19
 
1.7%
Other values (11) 64
 
5.6%
ValueCountFrequency (%)
1998 2
 
0.2%
1999 1
 
0.1%
2003 1
 
0.1%
2004 1
 
0.1%
2005 3
 
0.3%
2006 5
 
0.4%
2007 19
1.7%
2008 8
0.7%
2009 3
 
0.3%
2010 5
 
0.4%
ValueCountFrequency (%)
2021 640
55.9%
2020 123
 
10.8%
2019 41
 
3.6%
2018 49
 
4.3%
2017 70
 
6.1%
2016 32
 
2.8%
2015 31
 
2.7%
2014 46
 
4.0%
2013 29
 
2.5%
2012 18
 
1.6%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
[정관]어린이자료실
724 
[정관]종합자료열람실
420 

Length

Max length11
Median length10
Mean length10.367133
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[정관]어린이자료실 724
63.3%
[정관]종합자료열람실 420
36.7%

Length

2023-12-11T02:03:09.392613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:03:09.567268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]어린이자료실 724
63.3%
정관]종합자료열람실 420
36.7%

Interactions

2023-12-11T02:03:04.055269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:03.737932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:04.214081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:03.894976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:03:09.669269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.6120.918
발행년0.6121.0000.454
자료실명0.9180.4541.000
2023-12-11T02:03:09.819776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.7080.758
발행년0.7081.0000.454
자료실명0.7580.4541.000

Missing values

2023-12-11T02:03:04.440352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:03:04.634559image/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(A) new green dayby Antoinette PortisNeal Porter Books2020[정관]어린이자료실
12Outdoor Oppositesby Brenda Williams,Rachel OldfieldBarefoot books2016[정관]어린이자료실
23Space song rocket ridewritten by Sunny Scribens,illustrated by David SimBarefoot Books2014[정관]어린이자료실
34(The) more we get togetherwritten by Celeste Cortright ; illustrated by Betania Zacarias ; sung by Audra Mariel,Kena AnaeBarefoot Books2020[정관]어린이자료실
45We Are Water Protectorswritten by Carole Lindstrom ; illustrated by Michaela GoadeRoaring Brook Press2020[정관]어린이자료실
56(A) dinosaur called Tinyby Alan Durant ; illustrated by Jo SimpsonHarperCollins Children's2007[정관]어린이자료실
67(A) dog like that!by Janene Cooper ; illustrated by Evie KempStarfish Bay Children's Books2016[정관]어린이자료실
78(A) new friend for mouse : great friends can be hard to findby Jo Lacey,Gail YerrillIgloo Books Ltd2016[정관]어린이자료실
89Surprise party, and other toy storiescompiled by Tig ThomasMiles Kelly2014[정관]어린이자료실
910(A) very top secret missionby Sue EastlandTemplar Publishing2015[정관]어린이자료실
순번서명저작자발행자발행년자료실명
11341135청양장=Cheongyang market : 공광규 시공광규 글 ; 한병호 그림 ; 안선재 번역바우솔:풀과바람2021[정관]어린이자료실
11351136(촌닭)루이즈와 쌈닭 엘라델핀 페레 글 ; 세바스티앵 무랭 그림 ; 양진희 옮김미래아이:미래M & B2021[정관]어린이자료실
11361137토요일 토요일에오게 모라 지음 ; 신형건 옮김보물창고:푸른책들2021[정관]어린이자료실
11371138파란모자 : 조우영 그림책조우영 글·그림바람의아이들2021[정관]어린이자료실
11381139포포의 봄김희경 글 ; 조성빈,김도연 [공]그림새늘2020[정관]어린이자료실
11391140푸른 날개 어니스트소피 길모어 지음 ; 이주혜 옮김창비2021[정관]어린이자료실
11401141하품책퍼트리샤 헤가티 글 ; 테레사 벨롱 그림 ; 노은정 옮김스마트베어:예림당2021[정관]어린이자료실
11411142함께라는 걸 기억해김경애 글 ; 이미정 그림을파소:북이십일2021[정관]어린이자료실
11421143행복책고아라,최현미 [공]글 ; 양은영 그림큰웃음2021[정관]어린이자료실
11431144화가 나! 정말 화가 나!레슬리 패트리셀리 글·그림 ; 마술연필 옮김보물창고:푸른책들2021[정관]어린이자료실