Overview

Dataset statistics

Number of variables6
Number of observations1253
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.3 KiB
Average record size in memory50.1 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description부산광역시기장군_기장도서관신착자료현황_20201103
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060475

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
발행년 is highly imbalanced (50.4%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:44:36.738320
Analysis finished2023-12-10 16:44:38.253214
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627
Minimum1
Maximum1253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2023-12-11T01:44:38.331001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile63.6
Q1314
median627
Q3940
95-th percentile1190.4
Maximum1253
Range1252
Interquartile range (IQR)626

Descriptive statistics

Standard deviation361.85425
Coefficient of variation (CV)0.57712002
Kurtosis-1.2
Mean627
Median Absolute Deviation (MAD)313
Skewness0
Sum785631
Variance130938.5
MonotonicityStrictly increasing
2023-12-11T01:44:38.602110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
834 1
 
0.1%
841 1
 
0.1%
840 1
 
0.1%
839 1
 
0.1%
838 1
 
0.1%
837 1
 
0.1%
836 1
 
0.1%
835 1
 
0.1%
833 1
 
0.1%
Other values (1243) 1243
99.2%
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 (%)
1253 1
0.1%
1252 1
0.1%
1251 1
0.1%
1250 1
0.1%
1249 1
0.1%
1248 1
0.1%
1247 1
0.1%
1246 1
0.1%
1245 1
0.1%
1244 1
0.1%

서명
Text

Distinct1242
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-11T01:44:39.046301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length54
Mean length25.394254
Min length1

Characters and Unicode

Total characters31819
Distinct characters1018
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1231 ?
Unique (%)98.2%

Sample

1st row(동시로 생각하고 수필로 이해하고 문제로 논술하는) 로로로 초등 수학 5학년
2nd row(흔한남매) 안 흔한 일기. 1
3rd row흔한남매. 1
4th row흔한남매. 2
5th row흔한남매. 3
ValueCountFrequency (%)
736
 
8.5%
이야기 65
 
0.8%
위한 62
 
0.7%
장편소설 50
 
0.6%
우리 35
 
0.4%
어떻게 32
 
0.4%
31
 
0.4%
23
 
0.3%
가장 20
 
0.2%
나는 20
 
0.2%
Other values (4972) 7541
87.5%
2023-12-11T01:44:39.643872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7362
 
23.1%
: 735
 
2.3%
663
 
2.1%
609
 
1.9%
555
 
1.7%
366
 
1.2%
345
 
1.1%
342
 
1.1%
331
 
1.0%
318
 
1.0%
Other values (1008) 20193
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21515
67.6%
Space Separator 7362
 
23.1%
Other Punctuation 1203
 
3.8%
Lowercase Letter 800
 
2.5%
Decimal Number 423
 
1.3%
Uppercase Letter 155
 
0.5%
Open Punctuation 145
 
0.5%
Close Punctuation 145
 
0.5%
Math Symbol 59
 
0.2%
Dash Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
663
 
3.1%
609
 
2.8%
555
 
2.6%
366
 
1.7%
345
 
1.6%
342
 
1.6%
331
 
1.5%
318
 
1.5%
308
 
1.4%
297
 
1.4%
Other values (917) 17381
80.8%
Lowercase Letter
ValueCountFrequency (%)
e 86
 
10.8%
i 75
 
9.4%
o 66
 
8.2%
a 62
 
7.8%
n 57
 
7.1%
r 54
 
6.8%
t 52
 
6.5%
s 47
 
5.9%
c 37
 
4.6%
l 34
 
4.2%
Other values (16) 230
28.7%
Uppercase Letter
ValueCountFrequency (%)
S 17
 
11.0%
B 14
 
9.0%
T 13
 
8.4%
E 11
 
7.1%
A 11
 
7.1%
P 9
 
5.8%
F 8
 
5.2%
D 8
 
5.2%
I 7
 
4.5%
N 7
 
4.5%
Other values (16) 50
32.3%
Other Punctuation
ValueCountFrequency (%)
: 735
61.1%
, 230
 
19.1%
! 67
 
5.6%
? 62
 
5.2%
. 53
 
4.4%
' 26
 
2.2%
· 17
 
1.4%
" 4
 
0.3%
3
 
0.2%
% 2
 
0.2%
Other values (3) 4
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 115
27.2%
0 101
23.9%
2 52
12.3%
5 32
 
7.6%
3 27
 
6.4%
9 25
 
5.9%
4 23
 
5.4%
6 20
 
4.7%
8 16
 
3.8%
7 12
 
2.8%
Math Symbol
ValueCountFrequency (%)
= 48
81.4%
~ 3
 
5.1%
> 2
 
3.4%
< 2
 
3.4%
+ 2
 
3.4%
1
 
1.7%
1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 142
97.9%
2
 
1.4%
1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 142
97.9%
2
 
1.4%
1
 
0.7%
Space Separator
ValueCountFrequency (%)
7362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21499
67.6%
Common 9349
29.4%
Latin 955
 
3.0%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
663
 
3.1%
609
 
2.8%
555
 
2.6%
366
 
1.7%
345
 
1.6%
342
 
1.6%
331
 
1.5%
318
 
1.5%
308
 
1.4%
297
 
1.4%
Other values (904) 17365
80.8%
Latin
ValueCountFrequency (%)
e 86
 
9.0%
i 75
 
7.9%
o 66
 
6.9%
a 62
 
6.5%
n 57
 
6.0%
r 54
 
5.7%
t 52
 
5.4%
s 47
 
4.9%
c 37
 
3.9%
l 34
 
3.6%
Other values (42) 385
40.3%
Common
ValueCountFrequency (%)
7362
78.7%
: 735
 
7.9%
, 230
 
2.5%
( 142
 
1.5%
) 142
 
1.5%
1 115
 
1.2%
0 101
 
1.1%
! 67
 
0.7%
? 62
 
0.7%
. 53
 
0.6%
Other values (29) 340
 
3.6%
Han
ValueCountFrequency (%)
4
25.0%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21499
67.6%
ASCII 10273
32.3%
None 30
 
0.1%
CJK 16
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7362
71.7%
: 735
 
7.2%
, 230
 
2.2%
( 142
 
1.4%
) 142
 
1.4%
1 115
 
1.1%
0 101
 
1.0%
e 86
 
0.8%
i 75
 
0.7%
! 67
 
0.7%
Other values (71) 1218
 
11.9%
Hangul
ValueCountFrequency (%)
663
 
3.1%
609
 
2.8%
555
 
2.6%
366
 
1.7%
345
 
1.6%
342
 
1.6%
331
 
1.5%
318
 
1.5%
308
 
1.4%
297
 
1.4%
Other values (904) 17365
80.8%
None
ValueCountFrequency (%)
· 17
56.7%
3
 
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
CJK
ValueCountFrequency (%)
4
25.0%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (3) 3
18.8%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct1207
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-11T01:44:40.015241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length48
Mean length14.3751
Min length3

Characters and Unicode

Total characters18012
Distinct characters606
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1171 ?
Unique (%)93.5%

Sample

1st row윤병무 글 ; 이철형 그림
2nd row흔한남매 원작 ; 강효미 글 ; 조병주 그림
3rd row흔한남매 원작 ; 백난도 글 ; 유난희 그림
4th row흔한남매 원작 ; 백난도 글 ; 유난희 그림
5th row흔한남매 원작 ; 백난도 글 ; 유난희 그림
ValueCountFrequency (%)
806
 
14.6%
지음 763
 
13.8%
옮김 390
 
7.1%
그림 349
 
6.3%
295
 
5.3%
공]지음 62
 
1.1%
글·그림 51
 
0.9%
엮음 16
 
0.3%
공]글 13
 
0.2%
원작 12
 
0.2%
Other values (2236) 2771
50.1%
2023-12-11T01:44:40.627479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4277
23.7%
939
 
5.2%
872
 
4.8%
; 806
 
4.5%
711
 
3.9%
428
 
2.4%
414
 
2.3%
402
 
2.2%
396
 
2.2%
373
 
2.1%
Other values (596) 8394
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12302
68.3%
Space Separator 4277
 
23.7%
Other Punctuation 1079
 
6.0%
Close Punctuation 146
 
0.8%
Open Punctuation 146
 
0.8%
Uppercase Letter 35
 
0.2%
Lowercase Letter 19
 
0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
939
 
7.6%
872
 
7.1%
711
 
5.8%
428
 
3.5%
414
 
3.4%
402
 
3.3%
396
 
3.2%
373
 
3.0%
202
 
1.6%
179
 
1.5%
Other values (555) 7386
60.0%
Uppercase Letter
ValueCountFrequency (%)
J 10
28.6%
A 5
14.3%
E 3
 
8.6%
R 2
 
5.7%
P 2
 
5.7%
M 2
 
5.7%
S 2
 
5.7%
K 1
 
2.9%
H 1
 
2.9%
L 1
 
2.9%
Other values (6) 6
17.1%
Lowercase Letter
ValueCountFrequency (%)
i 3
15.8%
l 2
10.5%
a 2
10.5%
e 2
10.5%
h 2
10.5%
m 1
 
5.3%
c 1
 
5.3%
w 1
 
5.3%
y 1
 
5.3%
n 1
 
5.3%
Other values (3) 3
15.8%
Other Punctuation
ValueCountFrequency (%)
; 806
74.7%
, 136
 
12.6%
. 75
 
7.0%
· 62
 
5.7%
Close Punctuation
ValueCountFrequency (%)
] 142
97.3%
) 3
 
2.1%
1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
[ 142
97.3%
( 3
 
2.1%
1
 
0.7%
Space Separator
ValueCountFrequency (%)
4277
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12302
68.3%
Common 5656
31.4%
Latin 54
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
939
 
7.6%
872
 
7.1%
711
 
5.8%
428
 
3.5%
414
 
3.4%
402
 
3.3%
396
 
3.2%
373
 
3.0%
202
 
1.6%
179
 
1.5%
Other values (555) 7386
60.0%
Latin
ValueCountFrequency (%)
J 10
18.5%
A 5
 
9.3%
E 3
 
5.6%
i 3
 
5.6%
R 2
 
3.7%
l 2
 
3.7%
P 2
 
3.7%
M 2
 
3.7%
a 2
 
3.7%
S 2
 
3.7%
Other values (19) 21
38.9%
Common
ValueCountFrequency (%)
4277
75.6%
; 806
 
14.3%
] 142
 
2.5%
[ 142
 
2.5%
, 136
 
2.4%
. 75
 
1.3%
· 62
 
1.1%
- 8
 
0.1%
( 3
 
0.1%
) 3
 
0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12302
68.3%
ASCII 5646
31.3%
None 64
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4277
75.8%
; 806
 
14.3%
] 142
 
2.5%
[ 142
 
2.5%
, 136
 
2.4%
. 75
 
1.3%
J 10
 
0.2%
- 8
 
0.1%
A 5
 
0.1%
( 3
 
0.1%
Other values (28) 42
 
0.7%
Hangul
ValueCountFrequency (%)
939
 
7.6%
872
 
7.1%
711
 
5.8%
428
 
3.5%
414
 
3.4%
402
 
3.3%
396
 
3.2%
373
 
3.0%
202
 
1.6%
179
 
1.5%
Other values (555) 7386
60.0%
None
ValueCountFrequency (%)
· 62
96.9%
1
 
1.6%
1
 
1.6%
Distinct695
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-11T01:44:41.048148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length4.9744613
Min length1

Characters and Unicode

Total characters6233
Distinct characters499
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique458 ?
Unique (%)36.6%

Sample

1st row국수
2nd row아이세움:미래엔
3rd row아이세움:미래엔
4th row아이세움:미래엔
5th row아이세움:미래엔
ValueCountFrequency (%)
세이펜북스 68
 
5.3%
문학동네 22
 
1.7%
창비 21
 
1.6%
어스본코리아 12
 
0.9%
열다:스푼북 9
 
0.7%
비룡소 9
 
0.7%
한울림어린이 8
 
0.6%
위즈덤하우스 8
 
0.6%
김영사 8
 
0.6%
쌤앤파커스 8
 
0.6%
Other values (696) 1102
86.4%
2023-12-11T01:44:41.701365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
5.2%
265
 
4.3%
247
 
4.0%
: 196
 
3.1%
124
 
2.0%
113
 
1.8%
100
 
1.6%
100
 
1.6%
85
 
1.4%
80
 
1.3%
Other values (489) 4601
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5777
92.7%
Other Punctuation 203
 
3.3%
Lowercase Letter 116
 
1.9%
Uppercase Letter 85
 
1.4%
Decimal Number 24
 
0.4%
Space Separator 22
 
0.4%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
322
 
5.6%
265
 
4.6%
247
 
4.3%
124
 
2.1%
113
 
2.0%
100
 
1.7%
100
 
1.7%
85
 
1.5%
80
 
1.4%
78
 
1.4%
Other values (439) 4263
73.8%
Lowercase Letter
ValueCountFrequency (%)
o 26
22.4%
e 15
12.9%
s 11
9.5%
k 9
 
7.8%
b 7
 
6.0%
a 7
 
6.0%
r 6
 
5.2%
n 6
 
5.2%
t 5
 
4.3%
i 3
 
2.6%
Other values (11) 21
18.1%
Uppercase Letter
ValueCountFrequency (%)
B 26
30.6%
P 14
16.5%
M 7
 
8.2%
H 6
 
7.1%
C 6
 
7.1%
R 5
 
5.9%
K 4
 
4.7%
L 4
 
4.7%
S 2
 
2.4%
I 2
 
2.4%
Other values (8) 9
 
10.6%
Other Punctuation
ValueCountFrequency (%)
: 196
96.6%
# 2
 
1.0%
& 2
 
1.0%
. 1
 
0.5%
· 1
 
0.5%
1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 12
50.0%
1 12
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5774
92.6%
Common 255
 
4.1%
Latin 201
 
3.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
322
 
5.6%
265
 
4.6%
247
 
4.3%
124
 
2.1%
113
 
2.0%
100
 
1.7%
100
 
1.7%
85
 
1.5%
80
 
1.4%
78
 
1.4%
Other values (436) 4260
73.8%
Latin
ValueCountFrequency (%)
B 26
 
12.9%
o 26
 
12.9%
e 15
 
7.5%
P 14
 
7.0%
s 11
 
5.5%
k 9
 
4.5%
M 7
 
3.5%
b 7
 
3.5%
a 7
 
3.5%
H 6
 
3.0%
Other values (29) 73
36.3%
Common
ValueCountFrequency (%)
: 196
76.9%
22
 
8.6%
2 12
 
4.7%
1 12
 
4.7%
( 3
 
1.2%
) 3
 
1.2%
# 2
 
0.8%
& 2
 
0.8%
. 1
 
0.4%
· 1
 
0.4%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5774
92.6%
ASCII 454
 
7.3%
CJK 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
322
 
5.6%
265
 
4.6%
247
 
4.3%
124
 
2.1%
113
 
2.0%
100
 
1.7%
100
 
1.7%
85
 
1.5%
80
 
1.4%
78
 
1.4%
Other values (436) 4260
73.8%
ASCII
ValueCountFrequency (%)
: 196
43.2%
B 26
 
5.7%
o 26
 
5.7%
22
 
4.8%
e 15
 
3.3%
P 14
 
3.1%
2 12
 
2.6%
1 12
 
2.6%
s 11
 
2.4%
k 9
 
2.0%
Other values (38) 111
24.4%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
None
ValueCountFrequency (%)
· 1
50.0%
1
50.0%

발행년
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2019
884 
2020
301 
2018
 
37
2017
 
23
2016
 
8

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2020
3rd row2019
4th row2019
5th row2020

Common Values

ValueCountFrequency (%)
2019 884
70.6%
2020 301
 
24.0%
2018 37
 
3.0%
2017 23
 
1.8%
2016 8
 
0.6%

Length

2023-12-11T01:44:41.908194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:42.429534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 884
70.6%
2020 301
 
24.0%
2018 37
 
3.0%
2017 23
 
1.8%
2016 8
 
0.6%

자료실명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
[기장]종합자료실
847 
[기장]아동자료실
219 
[기장]가족독서방
183 
[기장]어르신방
 
4

Length

Max length9
Median length9
Mean length8.9968077
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[기장]아동자료실
2nd row[기장]아동자료실
3rd row[기장]아동자료실
4th row[기장]아동자료실
5th row[기장]아동자료실

Common Values

ValueCountFrequency (%)
[기장]종합자료실 847
67.6%
[기장]아동자료실 219
 
17.5%
[기장]가족독서방 183
 
14.6%
[기장]어르신방 4
 
0.3%

Length

2023-12-11T01:44:42.607222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:44:42.767412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기장]종합자료실 847
67.6%
기장]아동자료실 219
 
17.5%
기장]가족독서방 183
 
14.6%
기장]어르신방 4
 
0.3%

Interactions

2023-12-11T01:44:37.898059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:44:42.874149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.7160.743
발행년0.7161.0000.105
자료실명0.7430.1051.000
2023-12-11T01:44:43.054331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년자료실명
발행년1.0000.086
자료실명0.0861.000
2023-12-11T01:44:43.166990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.3760.549
발행년0.3761.0000.086
자료실명0.5490.0861.000

Missing values

2023-12-11T01:44:38.052414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:44:38.196152image/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(동시로 생각하고 수필로 이해하고 문제로 논술하는) 로로로 초등 수학 5학년윤병무 글 ; 이철형 그림국수2019[기장]아동자료실
12(흔한남매) 안 흔한 일기. 1흔한남매 원작 ; 강효미 글 ; 조병주 그림아이세움:미래엔2020[기장]아동자료실
23흔한남매. 1흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔2019[기장]아동자료실
34흔한남매. 2흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔2019[기장]아동자료실
45흔한남매. 3흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔2020[기장]아동자료실
56흔한남매. 4흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔2020[기장]아동자료실
67(흔한남매) 안 흔한 일기. 2흔한남매 원작 ; 강효미 글 ; 조병주 그림미래엔:아이세움2020[기장]아동자료실
78흔한남매. 5흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔2020[기장]아동자료실
89아기는 어디서 와요?케이티 데이니스 글 ; 크리스틴 핌 그림 ; [어스본코리아 편역]어스본코리아2016[기장]가족독서방
910눈, 코, 입은 왜 있어요?케이티 데이니스 글 ; 크리스틴 핌 그림 ; [어스본코리아 편역]어스본코리아2017[기장]가족독서방
순번서명저작자발행자발행년자료실명
12431244인간의 내밀한 역사 : 과거와의 대화는 어떻게 현재의 삶을 확장하는가시어도어 젤딘 지음 ; 김태우 옮김어크로스2020[기장]종합자료실
12441245최근 한국 현대사 : 해방부터 문재인 정부까지 역사유물론으로 보기김동철,김문성 [공]지음책갈피2020[기장]종합자료실
12451246코로나 이후 불황을 이기는 커리어 전략 : 세계 1위 미래학자의 코로나 위기 대응책제이슨 솅커 지음 ; 박성현 옮김미디어숲2020[기장]종합자료실
12461247검정토끼오세나 글·그림달그림2020[기장]가족독서방
12471248까막눈=Kkamangnun최남주 지음 ; 최승주 그림덩키북스2020[기장]가족독서방
12481249냉장고 먹는 괴물이현욱 글 ; 양수홍 그림밝은미래2020[기장]가족독서방
12491250수상한 운동장박현숙 글 ; 유영주 그림북멘토2020[기장]아동자료실
12501251태풍이 찾아온 날린다 애쉬먼 글 ; 유태은 그림 ; 이지유 옮김미디어창비2020[기장]가족독서방
12511252옷을 입었으나 갈 곳이 없다 : 이제 산문집이제 지음이성과감성:행복우물2020[기장]종합자료실
12521253(흔한남매의) 흔한 호기심. 1흔한남매 원작 ; 안치현 글 ; 유난희 그림아이세움:미래엔2020[기장]아동자료실