Overview

Dataset statistics

Number of variables6
Number of observations515
Missing cells490
Missing cells (%)15.9%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory25.3 KiB
Average record size in memory50.3 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관어린이도서관신착자료현황_20200829
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060476

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has 98 (19.0%) missing valuesMissing
서명 has 98 (19.0%) missing valuesMissing
저작자 has 98 (19.0%) missing valuesMissing
발행자 has 98 (19.0%) missing valuesMissing
발행년 has 98 (19.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:24:49.639868
Analysis finished2023-12-10 16:24:51.160732
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct417
Distinct (%)100.0%
Missing98
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean209
Minimum1
Maximum417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T01:24:51.541891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.8
Q1105
median209
Q3313
95-th percentile396.2
Maximum417
Range416
Interquartile range (IQR)208

Descriptive statistics

Standard deviation120.52178
Coefficient of variation (CV)0.57665925
Kurtosis-1.2
Mean209
Median Absolute Deviation (MAD)104
Skewness0
Sum87153
Variance14525.5
MonotonicityStrictly increasing
2023-12-11T01:24:51.682826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
314 1
 
0.2%
286 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
Other values (407) 407
79.0%
(Missing) 98
 
19.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
417 1
0.2%
416 1
0.2%
415 1
0.2%
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%

서명
Text

MISSING 

Distinct417
Distinct (%)100.0%
Missing98
Missing (%)19.0%
Memory size4.2 KiB
2023-12-11T01:24:51.986517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length44
Mean length18.155875
Min length2

Characters and Unicode

Total characters7571
Distinct characters685
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique417 ?
Unique (%)100.0%

Sample

1st row(DK) 수학의 핵심 : 수, 연산, 기하, 수열, 통계, 확률까지
2nd rowGO GO 카카오 프렌즈 : 세계 역사 문화 체험 학습만화. 14, 그리스
3rd row(누구일까요?) Guess?. 4, 곤충백과
4th row(SNS 스타) 송편이가 유기견이 되었다!
5th row(Why?) 재활용 과학
ValueCountFrequency (%)
160
 
7.7%
큰글자도서 30
 
1.4%
이야기 24
 
1.1%
내 14
 
0.7%
그림책 14
 
0.7%
2 12
 
0.6%
장편소설 12
 
0.6%
우리 11
 
0.5%
아이 10
 
0.5%
1 10
 
0.5%
Other values (1403) 1793
85.8%
2023-12-11T01:24:52.397776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1673
 
22.1%
이 173
 
2.3%
: 159
 
2.1%
의 132
 
1.7%
아 93
 
1.2%
는 92
 
1.2%
기 84
 
1.1%
, 77
 
1.0%
리 75
 
1.0%
서 75
 
1.0%
Other values (675) 4938
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5138
67.9%
Space Separator 1673
 
22.1%
Other Punctuation 373
 
4.9%
Decimal Number 122
 
1.6%
Lowercase Letter 115
 
1.5%
Close Punctuation 49
 
0.6%
Open Punctuation 49
 
0.6%
Uppercase Letter 36
 
0.5%
Dash Punctuation 13
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 173
 
3.4%
의 132
 
2.6%
아 93
 
1.8%
는 92
 
1.8%
기 84
 
1.6%
리 75
 
1.5%
서 75
 
1.5%
자 72
 
1.4%
도 70
 
1.4%
가 67
 
1.3%
Other values (619) 4205
81.8%
Lowercase Letter
ValueCountFrequency (%)
s 20
17.4%
e 17
14.8%
o 14
12.2%
r 12
10.4%
n 11
9.6%
b 8
 
7.0%
l 5
 
4.3%
a 5
 
4.3%
i 4
 
3.5%
u 4
 
3.5%
Other values (11) 15
13.0%
Uppercase Letter
ValueCountFrequency (%)
U 6
16.7%
X 6
16.7%
O 5
13.9%
G 4
11.1%
N 3
8.3%
S 2
 
5.6%
P 2
 
5.6%
K 2
 
5.6%
Y 1
 
2.8%
E 1
 
2.8%
Other values (4) 4
11.1%
Decimal Number
ValueCountFrequency (%)
1 33
27.0%
2 23
18.9%
4 16
13.1%
3 15
12.3%
0 14
11.5%
7 6
 
4.9%
5 6
 
4.9%
6 5
 
4.1%
9 2
 
1.6%
8 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
: 159
42.6%
, 77
20.6%
. 62
 
16.6%
! 50
 
13.4%
? 21
 
5.6%
· 4
 
1.1%
Space Separator
ValueCountFrequency (%)
1673
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5136
67.8%
Common 2282
30.1%
Latin 151
 
2.0%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 173
 
3.4%
의 132
 
2.6%
아 93
 
1.8%
는 92
 
1.8%
기 84
 
1.6%
리 75
 
1.5%
서 75
 
1.5%
자 72
 
1.4%
도 70
 
1.4%
가 67
 
1.3%
Other values (617) 4203
81.8%
Latin
ValueCountFrequency (%)
s 20
13.2%
e 17
 
11.3%
o 14
 
9.3%
r 12
 
7.9%
n 11
 
7.3%
b 8
 
5.3%
U 6
 
4.0%
X 6
 
4.0%
l 5
 
3.3%
a 5
 
3.3%
Other values (25) 47
31.1%
Common
ValueCountFrequency (%)
1673
73.3%
: 159
 
7.0%
, 77
 
3.4%
. 62
 
2.7%
! 50
 
2.2%
) 49
 
2.1%
( 49
 
2.1%
1 33
 
1.4%
2 23
 
1.0%
? 21
 
0.9%
Other values (11) 86
 
3.8%
Han
ValueCountFrequency (%)
念 1
50.0%
迷 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5136
67.8%
ASCII 2429
32.1%
None 4
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1673
68.9%
: 159
 
6.5%
, 77
 
3.2%
. 62
 
2.6%
! 50
 
2.1%
) 49
 
2.0%
( 49
 
2.0%
1 33
 
1.4%
2 23
 
0.9%
? 21
 
0.9%
Other values (45) 233
 
9.6%
Hangul
ValueCountFrequency (%)
이 173
 
3.4%
의 132
 
2.6%
아 93
 
1.8%
는 92
 
1.8%
기 84
 
1.6%
리 75
 
1.5%
서 75
 
1.5%
자 72
 
1.4%
도 70
 
1.4%
가 67
 
1.3%
Other values (617) 4203
81.8%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
念 1
50.0%
迷 1
50.0%

저작자
Text

MISSING 

Distinct382
Distinct (%)91.6%
Missing98
Missing (%)19.0%
Memory size4.2 KiB
2023-12-11T01:24:52.662858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length18.311751
Min length5

Characters and Unicode

Total characters7636
Distinct characters447
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

Unique362 ?
Unique (%)86.8%

Sample

1st rowDK『수학의 핵심』편집위원회 지음 ; 이현주 옮김
2nd row김미영 글 ; 김정한 그림
3rd row손승휘 글 ; 박영원 그림
4th row박현지 지음 ; 안경희 그림
5th row김정욱 글 ; 송회석 그림
ValueCountFrequency (%)
410
 
17.2%
그림 217
 
9.1%
글 194
 
8.1%
옮김 163
 
6.8%
지음 105
 
4.4%
글·그림 95
 
4.0%
원작 16
 
0.7%
j 13
 
0.5%
롤링 9
 
0.4%
강동혁 9
 
0.4%
Other values (932) 1157
48.5%
2023-12-11T01:24:53.070565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1971
25.8%
; 410
 
5.4%
그 328
 
4.3%
림 325
 
4.3%
글 298
 
3.9%
김 273
 
3.6%
옮 165
 
2.2%
지 155
 
2.0%
이 152
 
2.0%
음 118
 
1.5%
Other values (437) 3441
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4971
65.1%
Space Separator 1971
 
25.8%
Other Punctuation 575
 
7.5%
Uppercase Letter 46
 
0.6%
Open Punctuation 29
 
0.4%
Close Punctuation 29
 
0.4%
Dash Punctuation 6
 
0.1%
Lowercase Letter 5
 
0.1%
Decimal Number 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
그 328
 
6.6%
림 325
 
6.5%
글 298
 
6.0%
김 273
 
5.5%
옮 165
 
3.3%
지 155
 
3.1%
이 152
 
3.1%
음 118
 
2.4%
스 99
 
2.0%
리 91
 
1.8%
Other values (405) 2967
59.7%
Uppercase Letter
ValueCountFrequency (%)
J 15
32.6%
K 11
23.9%
S 3
 
6.5%
P 3
 
6.5%
A 2
 
4.3%
D 2
 
4.3%
B 2
 
4.3%
E 2
 
4.3%
X 2
 
4.3%
M 1
 
2.2%
Other values (3) 3
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
u 1
20.0%
n 1
20.0%
c 1
20.0%
o 1
20.0%
Other Punctuation
ValueCountFrequency (%)
; 410
71.3%
· 96
 
16.7%
. 44
 
7.7%
, 25
 
4.3%
Open Punctuation
ValueCountFrequency (%)
[ 28
96.6%
『 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
] 28
96.6%
』 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
1 1
50.0%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1971
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4971
65.1%
Common 2614
34.2%
Latin 51
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
그 328
 
6.6%
림 325
 
6.5%
글 298
 
6.0%
김 273
 
5.5%
옮 165
 
3.3%
지 155
 
3.1%
이 152
 
3.1%
음 118
 
2.4%
스 99
 
2.0%
리 91
 
1.8%
Other values (405) 2967
59.7%
Latin
ValueCountFrequency (%)
J 15
29.4%
K 11
21.6%
S 3
 
5.9%
P 3
 
5.9%
A 2
 
3.9%
D 2
 
3.9%
B 2
 
3.9%
E 2
 
3.9%
X 2
 
3.9%
M 1
 
2.0%
Other values (8) 8
15.7%
Common
ValueCountFrequency (%)
1971
75.4%
; 410
 
15.7%
· 96
 
3.7%
. 44
 
1.7%
[ 28
 
1.1%
] 28
 
1.1%
, 25
 
1.0%
- 6
 
0.2%
5 1
 
< 0.1%
1 1
 
< 0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4971
65.1%
ASCII 2567
33.6%
None 98
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1971
76.8%
; 410
 
16.0%
. 44
 
1.7%
[ 28
 
1.1%
] 28
 
1.1%
, 25
 
1.0%
J 15
 
0.6%
K 11
 
0.4%
- 6
 
0.2%
S 3
 
0.1%
Other values (19) 26
 
1.0%
Hangul
ValueCountFrequency (%)
그 328
 
6.6%
림 325
 
6.5%
글 298
 
6.0%
김 273
 
5.5%
옮 165
 
3.3%
지 155
 
3.1%
이 152
 
3.1%
음 118
 
2.4%
스 99
 
2.0%
리 91
 
1.8%
Other values (405) 2967
59.7%
None
ValueCountFrequency (%)
· 96
98.0%
『 1
 
1.0%
』 1
 
1.0%

발행자
Text

MISSING 

Distinct218
Distinct (%)52.3%
Missing98
Missing (%)19.0%
Memory size4.2 KiB
2023-12-11T01:24:53.359848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.9136691
Min length1

Characters and Unicode

Total characters2049
Distinct characters294
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

Unique131 ?
Unique (%)31.4%

Sample

1st row비룡소
2nd row아울북
3rd row이룸아이
4th row팜파스
5th row예림당
ValueCountFrequency (%)
창비 15
 
3.6%
문공사 14
 
3.3%
문학수첩 9
 
2.1%
비룡소 8
 
1.9%
usbornekorea 7
 
1.7%
서울문화사 7
 
1.7%
책읽는곰 6
 
1.4%
위즈덤하우스 6
 
1.4%
보림 6
 
1.4%
길벗어린이 5
 
1.2%
Other values (211) 339
80.3%
2023-12-11T01:24:53.749815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 78
 
3.8%
어 68
 
3.3%
북 65
 
3.2%
사 58
 
2.8%
스 49
 
2.4%
: 49
 
2.4%
비 37
 
1.8%
문 37
 
1.8%
아 35
 
1.7%
주 34
 
1.7%
Other values (284) 1539
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1837
89.7%
Lowercase Letter 112
 
5.5%
Other Punctuation 52
 
2.5%
Uppercase Letter 41
 
2.0%
Space Separator 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 78
 
4.2%
어 68
 
3.7%
북 65
 
3.5%
사 58
 
3.2%
스 49
 
2.7%
비 37
 
2.0%
문 37
 
2.0%
아 35
 
1.9%
주 34
 
1.9%
린 33
 
1.8%
Other values (251) 1343
73.1%
Lowercase Letter
ValueCountFrequency (%)
o 22
19.6%
e 20
17.9%
r 16
14.3%
s 14
12.5%
a 9
8.0%
b 8
 
7.1%
n 7
 
6.2%
k 4
 
3.6%
l 3
 
2.7%
t 3
 
2.7%
Other values (4) 6
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 9
22.0%
U 7
17.1%
B 7
17.1%
J 4
9.8%
R 2
 
4.9%
H 2
 
4.9%
E 2
 
4.9%
P 2
 
4.9%
I 2
 
4.9%
O 1
 
2.4%
Other values (3) 3
 
7.3%
Other Punctuation
ValueCountFrequency (%)
: 49
94.2%
· 2
 
3.8%
. 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1837
89.7%
Latin 153
 
7.5%
Common 59
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 78
 
4.2%
어 68
 
3.7%
북 65
 
3.5%
사 58
 
3.2%
스 49
 
2.7%
비 37
 
2.0%
문 37
 
2.0%
아 35
 
1.9%
주 34
 
1.9%
린 33
 
1.8%
Other values (251) 1343
73.1%
Latin
ValueCountFrequency (%)
o 22
14.4%
e 20
13.1%
r 16
10.5%
s 14
9.2%
a 9
 
5.9%
K 9
 
5.9%
b 8
 
5.2%
U 7
 
4.6%
n 7
 
4.6%
B 7
 
4.6%
Other values (17) 34
22.2%
Common
ValueCountFrequency (%)
: 49
83.1%
5
 
8.5%
· 2
 
3.4%
3 1
 
1.7%
. 1
 
1.7%
0 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1837
89.7%
ASCII 210
 
10.2%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 78
 
4.2%
어 68
 
3.7%
북 65
 
3.5%
사 58
 
3.2%
스 49
 
2.7%
비 37
 
2.0%
문 37
 
2.0%
아 35
 
1.9%
주 34
 
1.9%
린 33
 
1.8%
Other values (251) 1343
73.1%
ASCII
ValueCountFrequency (%)
: 49
23.3%
o 22
10.5%
e 20
9.5%
r 16
 
7.6%
s 14
 
6.7%
a 9
 
4.3%
K 9
 
4.3%
b 8
 
3.8%
U 7
 
3.3%
n 7
 
3.3%
Other values (22) 49
23.3%
None
ValueCountFrequency (%)
· 2
100.0%

발행년
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.9%
Missing98
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean2019.7554
Minimum2013
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T01:24:53.848381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2018
Q12020
median2020
Q32020
95-th percentile2020
Maximum2020
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.89744611
Coefficient of variation (CV)0.00044433406
Kurtosis26.527123
Mean2019.7554
Median Absolute Deviation (MAD)0
Skewness-4.8723314
Sum842238
Variance0.80540952
MonotonicityNot monotonic
2023-12-11T01:24:53.943293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2020 371
72.0%
2019 24
 
4.7%
2018 9
 
1.7%
2016 4
 
0.8%
2017 3
 
0.6%
2015 3
 
0.6%
2013 2
 
0.4%
2014 1
 
0.2%
(Missing) 98
 
19.0%
ValueCountFrequency (%)
2013 2
 
0.4%
2014 1
 
0.2%
2015 3
 
0.6%
2016 4
 
0.8%
2017 3
 
0.6%
2018 9
 
1.7%
2019 24
 
4.7%
2020 371
72.0%
ValueCountFrequency (%)
2020 371
72.0%
2019 24
 
4.7%
2018 9
 
1.7%
2017 3
 
0.6%
2016 4
 
0.8%
2015 3
 
0.6%
2014 1
 
0.2%
2013 2
 
0.4%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
[정관]정관어린이도서관 아동자료실
295 
[정관]정관어린이도서관 유아자료실
122 
<NA>
98 

Length

Max length18
Median length18
Mean length15.335922
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[정관]정관어린이도서관 아동자료실 295
57.3%
[정관]정관어린이도서관 유아자료실 122
23.7%
<NA> 98
 
19.0%

Length

2023-12-11T01:24:54.054906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:24:54.139295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]정관어린이도서관 417
44.7%
아동자료실 295
31.7%
유아자료실 122
 
13.1%
na 98
 
10.5%

Interactions

2023-12-11T01:24:50.599707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:24:50.403717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:24:50.721888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:24:50.486077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:24:54.209280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.3840.938
발행년0.3841.0000.176
자료실명0.9380.1761.000
2023-12-11T01:24:54.288014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.2730.782
발행년-0.2731.0000.186
자료실명0.7820.1861.000

Missing values

2023-12-11T01:24:50.862388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:24:50.978205image/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.
2023-12-11T01:24:51.085713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번서명저작자발행자발행년자료실명
01(DK) 수학의 핵심 : 수, 연산, 기하, 수열, 통계, 확률까지DK『수학의 핵심』편집위원회 지음 ; 이현주 옮김비룡소2020[정관]정관어린이도서관 아동자료실
12GO GO 카카오 프렌즈 : 세계 역사 문화 체험 학습만화. 14, 그리스김미영 글 ; 김정한 그림아울북2020[정관]정관어린이도서관 아동자료실
23(누구일까요?) Guess?. 4, 곤충백과손승휘 글 ; 박영원 그림이룸아이2020[정관]정관어린이도서관 아동자료실
34(SNS 스타) 송편이가 유기견이 되었다!박현지 지음 ; 안경희 그림팜파스2020[정관]정관어린이도서관 아동자료실
45(Why?) 재활용 과학김정욱 글 ; 송회석 그림예림당2020[정관]정관어린이도서관 아동자료실
56XOX와 OXO질 바슐레 글·그림 ; 나선희 옮김책빛2020[정관]정관어린이도서관 유아자료실
67거짓말 언니임제다 글 ; 애슝 그림그린북2020[정관]정관어린이도서관 아동자료실
78건축가 이기 펙의 엉뚱한 상상안드레아 비티 글 ; 데이비드 로버츠 그림 ; 김혜진 옮김천개의바람2020[정관]정관어린이도서관 유아자료실
89(Useborn) 건축의 모든 것제롬 마틴 글 ; 피터 알렌 그림 ; 배장열 옮김UsborneKorea2020[정관]정관어린이도서관 아동자료실
910검은 무엇레자 달반드 글·그림 ; 김시형 옮김분홍고래2020[정관]정관어린이도서관 아동자료실
순번서명저작자발행자발행년자료실명
505<NA><NA><NA><NA><NA><NA>
506<NA><NA><NA><NA><NA><NA>
507<NA><NA><NA><NA><NA><NA>
508<NA><NA><NA><NA><NA><NA>
509<NA><NA><NA><NA><NA><NA>
510<NA><NA><NA><NA><NA><NA>
511<NA><NA><NA><NA><NA><NA>
512<NA><NA><NA><NA><NA><NA>
513<NA><NA><NA><NA><NA><NA>
514<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

순번서명저작자발행자발행년자료실명# duplicates
0<NA><NA><NA><NA><NA><NA>98