Overview

Dataset statistics

Number of variables6
Number of observations1233
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory59.1 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20230430
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
발행년 is highly imbalanced (53.9%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:59:46.486790
Analysis finished2023-12-10 16:59:48.927912
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1233
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean617
Minimum1
Maximum1233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.0 KiB
2023-12-11T01:59:49.064241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.6
Q1309
median617
Q3925
95-th percentile1171.4
Maximum1233
Range1232
Interquartile range (IQR)616

Descriptive statistics

Standard deviation356.08075
Coefficient of variation (CV)0.57711629
Kurtosis-1.2
Mean617
Median Absolute Deviation (MAD)308
Skewness0
Sum760761
Variance126793.5
MonotonicityStrictly increasing
2023-12-11T01:59:49.357364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
821 1
 
0.1%
828 1
 
0.1%
827 1
 
0.1%
826 1
 
0.1%
825 1
 
0.1%
824 1
 
0.1%
823 1
 
0.1%
822 1
 
0.1%
820 1
 
0.1%
Other values (1223) 1223
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 (%)
1233 1
0.1%
1232 1
0.1%
1231 1
0.1%
1230 1
0.1%
1229 1
0.1%
1228 1
0.1%
1227 1
0.1%
1226 1
0.1%
1225 1
0.1%
1224 1
0.1%

서명
Text

Distinct1166
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2023-12-11T01:59:50.045581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length56
Mean length28.508516
Min length2

Characters and Unicode

Total characters35151
Distinct characters994
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1106 ?
Unique (%)89.7%

Sample

1st row(0~5세) 성장발달에 맞추는 놀이 육아
2nd row(바로 써먹고, 바로 돈이 되는) 1페이지 마케팅 플랜
3rd row거인의 노트 : 인생에서 무엇을 보고 어떻게 기록할 것인가
4th row거인의 어깨=Shoulders of giants. 1, 벤저민 그레이엄, 워런 버핏, 피터 린치에게 배우다
5th row거인의 어깨=Shoulders of giants. 2, 치밀한 전략가 필립 피셔에게 배우다
ValueCountFrequency (%)
804
 
8.6%
위한 68
 
0.7%
이야기 59
 
0.6%
장편소설 56
 
0.6%
1 39
 
0.4%
어떻게 35
 
0.4%
2 32
 
0.3%
역사 32
 
0.3%
31
 
0.3%
수업 24
 
0.3%
Other values (4896) 8142
87.3%
2023-12-11T01:59:51.378547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8091
 
23.0%
: 797
 
2.3%
707
 
2.0%
612
 
1.7%
606
 
1.7%
378
 
1.1%
361
 
1.0%
348
 
1.0%
333
 
0.9%
324
 
0.9%
Other values (984) 22594
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23032
65.5%
Space Separator 8091
 
23.0%
Other Punctuation 1402
 
4.0%
Lowercase Letter 1225
 
3.5%
Decimal Number 675
 
1.9%
Uppercase Letter 299
 
0.9%
Open Punctuation 164
 
0.5%
Close Punctuation 164
 
0.5%
Math Symbol 88
 
0.3%
Dash Punctuation 5
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
707
 
3.1%
612
 
2.7%
606
 
2.6%
378
 
1.6%
361
 
1.6%
348
 
1.5%
333
 
1.4%
324
 
1.4%
307
 
1.3%
297
 
1.3%
Other values (896) 18759
81.4%
Lowercase Letter
ValueCountFrequency (%)
o 128
 
10.4%
e 112
 
9.1%
i 102
 
8.3%
a 102
 
8.3%
t 90
 
7.3%
n 87
 
7.1%
r 75
 
6.1%
s 71
 
5.8%
l 61
 
5.0%
g 51
 
4.2%
Other values (15) 346
28.2%
Uppercase Letter
ValueCountFrequency (%)
T 40
13.4%
S 38
12.7%
E 22
 
7.4%
P 22
 
7.4%
A 18
 
6.0%
G 17
 
5.7%
M 16
 
5.4%
D 14
 
4.7%
N 14
 
4.7%
C 13
 
4.3%
Other values (15) 85
28.4%
Other Punctuation
ValueCountFrequency (%)
: 797
56.8%
, 285
 
20.3%
. 155
 
11.1%
! 63
 
4.5%
· 45
 
3.2%
' 30
 
2.1%
& 9
 
0.6%
/ 5
 
0.4%
4
 
0.3%
% 3
 
0.2%
Other values (4) 6
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 192
28.4%
0 147
21.8%
2 114
16.9%
3 56
 
8.3%
5 48
 
7.1%
4 33
 
4.9%
7 23
 
3.4%
6 21
 
3.1%
9 21
 
3.1%
8 20
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 162
98.8%
[ 1
 
0.6%
1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 162
98.8%
] 1
 
0.6%
1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 82
93.2%
~ 4
 
4.5%
+ 2
 
2.3%
Space Separator
ValueCountFrequency (%)
8091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23022
65.5%
Common 10595
30.1%
Latin 1524
 
4.3%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
707
 
3.1%
612
 
2.7%
606
 
2.6%
378
 
1.6%
361
 
1.6%
348
 
1.5%
333
 
1.4%
324
 
1.4%
307
 
1.3%
297
 
1.3%
Other values (886) 18749
81.4%
Latin
ValueCountFrequency (%)
o 128
 
8.4%
e 112
 
7.3%
i 102
 
6.7%
a 102
 
6.7%
t 90
 
5.9%
n 87
 
5.7%
r 75
 
4.9%
s 71
 
4.7%
l 61
 
4.0%
g 51
 
3.3%
Other values (40) 645
42.3%
Common
ValueCountFrequency (%)
8091
76.4%
: 797
 
7.5%
, 285
 
2.7%
1 192
 
1.8%
( 162
 
1.5%
) 162
 
1.5%
. 155
 
1.5%
0 147
 
1.4%
2 114
 
1.1%
= 82
 
0.8%
Other values (28) 408
 
3.9%
Han
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23021
65.5%
ASCII 12061
34.3%
None 54
 
0.2%
CJK 10
 
< 0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8091
67.1%
: 797
 
6.6%
, 285
 
2.4%
1 192
 
1.6%
( 162
 
1.3%
) 162
 
1.3%
. 155
 
1.3%
0 147
 
1.2%
o 128
 
1.1%
2 114
 
0.9%
Other values (70) 1828
 
15.2%
Hangul
ValueCountFrequency (%)
707
 
3.1%
612
 
2.7%
606
 
2.6%
378
 
1.6%
361
 
1.6%
348
 
1.5%
333
 
1.4%
324
 
1.4%
307
 
1.3%
297
 
1.3%
Other values (885) 18748
81.4%
None
ValueCountFrequency (%)
· 45
83.3%
4
 
7.4%
2
 
3.7%
1
 
1.9%
1
 
1.9%
¡ 1
 
1.9%
Punctuation
ValueCountFrequency (%)
2
50.0%
2
50.0%
CJK
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct1087
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2023-12-11T01:59:52.019778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length14.004866
Min length5

Characters and Unicode

Total characters17268
Distinct characters588
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

Unique977 ?
Unique (%)79.2%

Sample

1st row김원철 ...[등]지음
2nd row앨런 딥 지음 ; 홍석윤 옮김
3rd row김익한 지음
4th row홍진채 지음
5th row홍진채 지음
ValueCountFrequency (%)
지음 931
 
17.7%
691
 
13.1%
옮김 401
 
7.6%
그림 207
 
3.9%
191
 
3.6%
74
 
1.4%
원작 42
 
0.8%
공]지음 30
 
0.6%
26
 
0.5%
글·그림 18
 
0.3%
Other values (2003) 2646
50.3%
2023-12-11T01:59:53.057653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4027
23.3%
1096
 
6.3%
1005
 
5.8%
; 691
 
4.0%
670
 
3.9%
408
 
2.4%
401
 
2.3%
251
 
1.5%
235
 
1.4%
230
 
1.3%
Other values (578) 8254
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11735
68.0%
Space Separator 4027
 
23.3%
Other Punctuation 977
 
5.7%
Close Punctuation 183
 
1.1%
Open Punctuation 183
 
1.1%
Uppercase Letter 85
 
0.5%
Lowercase Letter 61
 
0.4%
Decimal Number 11
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1096
 
9.3%
1005
 
8.6%
670
 
5.7%
408
 
3.5%
401
 
3.4%
251
 
2.1%
235
 
2.0%
230
 
2.0%
205
 
1.7%
171
 
1.5%
Other values (525) 7063
60.2%
Uppercase Letter
ValueCountFrequency (%)
T 14
16.5%
V 10
11.8%
K 10
11.8%
G 8
9.4%
J 7
8.2%
S 6
7.1%
A 5
 
5.9%
N 5
 
5.9%
M 4
 
4.7%
O 3
 
3.5%
Other values (9) 13
15.3%
Lowercase Letter
ValueCountFrequency (%)
e 13
21.3%
r 9
14.8%
t 8
13.1%
a 7
11.5%
y 5
 
8.2%
o 5
 
8.2%
m 3
 
4.9%
u 3
 
4.9%
n 3
 
4.9%
s 2
 
3.3%
Other values (3) 3
 
4.9%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
1 2
18.2%
5 1
 
9.1%
8 1
 
9.1%
0 1
 
9.1%
3 1
 
9.1%
4 1
 
9.1%
7 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
; 691
70.7%
, 142
 
14.5%
. 121
 
12.4%
· 21
 
2.1%
@ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 171
93.4%
) 11
 
6.0%
1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 171
93.4%
( 11
 
6.0%
1
 
0.5%
Space Separator
ValueCountFrequency (%)
4027
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11735
68.0%
Common 5387
31.2%
Latin 146
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1096
 
9.3%
1005
 
8.6%
670
 
5.7%
408
 
3.5%
401
 
3.4%
251
 
2.1%
235
 
2.0%
230
 
2.0%
205
 
1.7%
171
 
1.5%
Other values (525) 7063
60.2%
Latin
ValueCountFrequency (%)
T 14
 
9.6%
e 13
 
8.9%
V 10
 
6.8%
K 10
 
6.8%
r 9
 
6.2%
G 8
 
5.5%
t 8
 
5.5%
J 7
 
4.8%
a 7
 
4.8%
S 6
 
4.1%
Other values (22) 54
37.0%
Common
ValueCountFrequency (%)
4027
74.8%
; 691
 
12.8%
] 171
 
3.2%
[ 171
 
3.2%
, 142
 
2.6%
. 121
 
2.2%
· 21
 
0.4%
( 11
 
0.2%
) 11
 
0.2%
- 6
 
0.1%
Other values (11) 15
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11735
68.0%
ASCII 5510
31.9%
None 23
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4027
73.1%
; 691
 
12.5%
] 171
 
3.1%
[ 171
 
3.1%
, 142
 
2.6%
. 121
 
2.2%
T 14
 
0.3%
e 13
 
0.2%
( 11
 
0.2%
) 11
 
0.2%
Other values (40) 138
 
2.5%
Hangul
ValueCountFrequency (%)
1096
 
9.3%
1005
 
8.6%
670
 
5.7%
408
 
3.5%
401
 
3.4%
251
 
2.1%
235
 
2.0%
230
 
2.0%
205
 
1.7%
171
 
1.5%
Other values (525) 7063
60.2%
None
ValueCountFrequency (%)
· 21
91.3%
1
 
4.3%
1
 
4.3%
Distinct671
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2023-12-11T01:59:53.627547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length4.6723439
Min length1

Characters and Unicode

Total characters5761
Distinct characters476
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique443 ?
Unique (%)35.9%

Sample

1st row마음책방
2nd row알파미디어
3rd row다산북스
4th row포레스트북스
5th row포레스트북스
ValueCountFrequency (%)
위즈덤하우스 19
 
1.5%
문학동네 19
 
1.5%
특별한서재 17
 
1.4%
창비 16
 
1.3%
다산북스 15
 
1.2%
아이세움:미래엔 14
 
1.1%
삼성출판사 11
 
0.9%
비룡소 11
 
0.9%
김영사 10
 
0.8%
우리학교 9
 
0.7%
Other values (667) 1106
88.7%
2023-12-11T01:59:54.424742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
 
4.6%
206
 
3.6%
175
 
3.0%
126
 
2.2%
: 121
 
2.1%
96
 
1.7%
94
 
1.6%
82
 
1.4%
80
 
1.4%
74
 
1.3%
Other values (466) 4441
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5313
92.2%
Lowercase Letter 164
 
2.8%
Other Punctuation 125
 
2.2%
Uppercase Letter 124
 
2.2%
Decimal Number 18
 
0.3%
Space Separator 14
 
0.2%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
266
 
5.0%
206
 
3.9%
175
 
3.3%
126
 
2.4%
96
 
1.8%
94
 
1.8%
82
 
1.5%
80
 
1.5%
74
 
1.4%
72
 
1.4%
Other values (418) 4042
76.1%
Uppercase Letter
ValueCountFrequency (%)
B 19
15.3%
H 17
13.7%
K 13
10.5%
R 12
9.7%
M 7
 
5.6%
P 7
 
5.6%
S 6
 
4.8%
A 6
 
4.8%
N 5
 
4.0%
I 5
 
4.0%
Other values (10) 27
21.8%
Lowercase Letter
ValueCountFrequency (%)
o 34
20.7%
e 17
10.4%
s 17
10.4%
r 16
9.8%
k 14
8.5%
a 13
 
7.9%
i 10
 
6.1%
n 9
 
5.5%
m 5
 
3.0%
t 5
 
3.0%
Other values (9) 24
14.6%
Other Punctuation
ValueCountFrequency (%)
: 121
96.8%
. 3
 
2.4%
# 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 9
50.0%
2 9
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5310
92.2%
Latin 288
 
5.0%
Common 160
 
2.8%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
266
 
5.0%
206
 
3.9%
175
 
3.3%
126
 
2.4%
96
 
1.8%
94
 
1.8%
82
 
1.5%
80
 
1.5%
74
 
1.4%
72
 
1.4%
Other values (415) 4039
76.1%
Latin
ValueCountFrequency (%)
o 34
 
11.8%
B 19
 
6.6%
e 17
 
5.9%
s 17
 
5.9%
H 17
 
5.9%
r 16
 
5.6%
k 14
 
4.9%
a 13
 
4.5%
K 13
 
4.5%
R 12
 
4.2%
Other values (29) 116
40.3%
Common
ValueCountFrequency (%)
: 121
75.6%
14
 
8.8%
1 9
 
5.6%
2 9
 
5.6%
. 3
 
1.9%
× 1
 
0.6%
# 1
 
0.6%
) 1
 
0.6%
( 1
 
0.6%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5310
92.2%
ASCII 447
 
7.8%
CJK 3
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
266
 
5.0%
206
 
3.9%
175
 
3.3%
126
 
2.4%
96
 
1.8%
94
 
1.8%
82
 
1.5%
80
 
1.5%
74
 
1.4%
72
 
1.4%
Other values (415) 4039
76.1%
ASCII
ValueCountFrequency (%)
: 121
27.1%
o 34
 
7.6%
B 19
 
4.3%
e 17
 
3.8%
s 17
 
3.8%
H 17
 
3.8%
r 16
 
3.6%
14
 
3.1%
k 14
 
3.1%
a 13
 
2.9%
Other values (37) 165
36.9%
None
ValueCountFrequency (%)
× 1
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

발행년
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
2023
776 
2022
336 
2021
 
48
2020
 
31
2019
 
29
Other values (4)
 
13

Length

Max length5
Median length4
Mean length4.0048662
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
2023 776
62.9%
2022 336
27.3%
2021 48
 
3.9%
2020 31
 
2.5%
2019 29
 
2.4%
2023; 6
 
0.5%
2018 5
 
0.4%
2016 1
 
0.1%
2015 1
 
0.1%

Length

2023-12-11T01:59:54.671518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:59:54.858915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 782
63.4%
2022 336
27.3%
2021 48
 
3.9%
2020 31
 
2.5%
2019 29
 
2.4%
2018 5
 
0.4%
2016 1
 
0.1%
2015 1
 
0.1%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
[정관]종합자료열람실
738 
[정관]스마트도서관(월내역)
398 
[정관]어린이자료실
97 

Length

Max length15
Median length11
Mean length12.21249
Min length10

Unique

Unique0 ?
Unique (%)0.0%

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 738
59.9%
[정관]스마트도서관(월내역) 398
32.3%
[정관]어린이자료실 97
 
7.9%

Length

2023-12-11T01:59:55.072050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:59:55.249105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 738
59.9%
정관]스마트도서관(월내역 398
32.3%
정관]어린이자료실 97
 
7.9%

Interactions

2023-12-11T01:59:48.361370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:59:55.373599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1690.832
발행년0.1691.0000.217
자료실명0.8320.2171.000
2023-12-11T01:59:55.532428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실명발행년
자료실명1.0000.097
발행년0.0971.000
2023-12-11T01:59:55.684484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.0770.738
발행년0.0771.0000.097
자료실명0.7380.0971.000

Missing values

2023-12-11T01:59:48.602098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:59:48.845750image/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(0~5세) 성장발달에 맞추는 놀이 육아김원철 ...[등]지음마음책방2022[정관]종합자료열람실
12(바로 써먹고, 바로 돈이 되는) 1페이지 마케팅 플랜앨런 딥 지음 ; 홍석윤 옮김알파미디어2022[정관]종합자료열람실
23거인의 노트 : 인생에서 무엇을 보고 어떻게 기록할 것인가김익한 지음다산북스2023[정관]종합자료열람실
34거인의 어깨=Shoulders of giants. 1, 벤저민 그레이엄, 워런 버핏, 피터 린치에게 배우다홍진채 지음포레스트북스2022[정관]종합자료열람실
45거인의 어깨=Shoulders of giants. 2, 치밀한 전략가 필립 피셔에게 배우다홍진채 지음포레스트북스2022[정관]종합자료열람실
56고린도후서데이비드 갈란드 지음 ; 김명일 옮김깃드는숲2023[정관]종합자료열람실
67고맙습니다 : 세상을 응원하는 한 마디경운초등학교 어린이 27명 글·그림 ; 밑가지 엮음북극곰2021[정관]종합자료열람실
78(괜히 끌리는 사람들,) 호감의 법칙 50 : 그 사람은 왜 또 만나고 싶은 생각이 드는 걸까신용준 지음리텍콘텐츠2023[정관]종합자료열람실
89권위주의적 순간 : 미국 좌파들은 어떻게 시스템을 완전히 장악해 버렸을까벤 샤피로 지음 ; 노태정 옮김기파랑2023[정관]종합자료열람실
910김호연의 작업실 : 김호연의 사적인 소설 작업 일지김호연 지음서랍의날씨:팬덤북스2023[정관]종합자료열람실
순번서명저작자발행자발행년자료실명
12231224마흔, 다시 만날 것처럼 헤어져라 : 일과 삶을 성공으로 이끄는 인간관계의 기술조우성 지음서삼독2023[정관]종합자료열람실
12241225최상위 아이는 이렇게 수학 합니다 : 개념·심화 모두 잡는 단단한 초등 수학 공부법양영기 지음한빛라이프2022[정관]종합자료열람실
1225122610대를 위한 첫 아바타 경제 수업 : 미래를 준비하는 청소년들이 알아야 할 지식 교양서신진상 지음체인지업2023[정관]종합자료열람실
12261227(최강왕)무시무시 놀라운 동물 대백과시바타 요시히데 지음 ; 아이마 타로...[등]일러스트 ; 고경옥 옮김글송이2020[정관]어린이자료실
12271228코스페이시스=Cospaces이재우 지음생능북스:생능출판사2023[정관]종합자료열람실
12281229장하준의 경제학 레시피 : 마늘에서 초콜릿까지 18가지 재료로 요리한 경제 이야기장하준 지음 ; 김희정 옮김부키2023[정관]종합자료열람실
12291230살 때, 팔 때, 벌 때=Timing to buy, sell, make a fortune : 여의도 닥터둠 강영현이 공개하는 진격의 주식 투자 타이밍강영현 지음21세기북스:북이십일2023[정관]종합자료열람실
12301231세이노의 가르침 : 피보다 진하게 살아라세이노 지음데이원2023[정관]종합자료열람실
12311232나는 결코 어머니가 없었다 : 엄마와 딸의 공동 회고록하재영 지음H:휴머니스트출판그룹2023[정관]종합자료열람실
12321233(최재천의)동물대탐험 : 지구를 사랑하는 어린이를 위한 생물학 동화. 2, 나무늘보의 노래황혜영 글 ; 박현미 그림다산어린이:다산북스2023[정관]어린이자료실