Overview

Dataset statistics

Number of variables6
Number of observations1294
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.3 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20200929
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 17:04:00.128248
Analysis finished2023-12-10 17:04:02.778283
Duration2.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1294
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean647.5
Minimum1
Maximum1294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-11T02:04:02.921702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65.65
Q1324.25
median647.5
Q3970.75
95-th percentile1229.35
Maximum1294
Range1293
Interquartile range (IQR)646.5

Descriptive statistics

Standard deviation373.68993
Coefficient of variation (CV)0.57712731
Kurtosis-1.2
Mean647.5
Median Absolute Deviation (MAD)323.5
Skewness0
Sum837865
Variance139644.17
MonotonicityStrictly increasing
2023-12-11T02:04:03.194024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
891 1
 
0.1%
869 1
 
0.1%
868 1
 
0.1%
867 1
 
0.1%
866 1
 
0.1%
865 1
 
0.1%
864 1
 
0.1%
863 1
 
0.1%
862 1
 
0.1%
Other values (1284) 1284
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 (%)
1294 1
0.1%
1293 1
0.1%
1292 1
0.1%
1291 1
0.1%
1290 1
0.1%
1289 1
0.1%
1288 1
0.1%
1287 1
0.1%
1286 1
0.1%
1285 1
0.1%

서명
Text

Distinct1279
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-11T02:04:03.768136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length177
Median length67
Mean length22.416538
Min length1

Characters and Unicode

Total characters29007
Distinct characters990
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1264 ?
Unique (%)97.7%

Sample

1st row(그만두기도 시작하기도 좋은 나이,)40세에 은퇴하다
2nd row기도 : 가장 위대한 일
3rd row가치투자, 주식황제 존 네프처럼 하라
4th row국어 교과서 작품 읽기. 중2 시
5th row국어 교과서 작품 읽기. 중2 소설
ValueCountFrequency (%)
557
 
7.4%
1 35
 
0.5%
이야기 35
 
0.5%
위한 30
 
0.4%
2 28
 
0.4%
그림책 28
 
0.4%
내 25
 
0.3%
나는 25
 
0.3%
반지의 24
 
0.3%
비밀일기 24
 
0.3%
Other values (4450) 6740
89.3%
2023-12-11T02:04:04.774460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6257
 
21.6%
: 554
 
1.9%
이 536
 
1.8%
의 505
 
1.7%
는 466
 
1.6%
다 307
 
1.1%
가 282
 
1.0%
기 280
 
1.0%
을 273
 
0.9%
지 268
 
0.9%
Other values (980) 19279
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19127
65.9%
Space Separator 6257
 
21.6%
Lowercase Letter 1267
 
4.4%
Other Punctuation 1255
 
4.3%
Decimal Number 449
 
1.5%
Open Punctuation 198
 
0.7%
Close Punctuation 198
 
0.7%
Uppercase Letter 192
 
0.7%
Math Symbol 60
 
0.2%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 536
 
2.8%
의 505
 
2.6%
는 466
 
2.4%
다 307
 
1.6%
가 282
 
1.5%
기 280
 
1.5%
을 273
 
1.4%
지 268
 
1.4%
한 244
 
1.3%
하 240
 
1.3%
Other values (893) 15726
82.2%
Lowercase Letter
ValueCountFrequency (%)
e 151
11.9%
o 109
 
8.6%
t 99
 
7.8%
a 93
 
7.3%
r 92
 
7.3%
i 91
 
7.2%
n 79
 
6.2%
s 78
 
6.2%
l 65
 
5.1%
m 50
 
3.9%
Other values (16) 360
28.4%
Uppercase Letter
ValueCountFrequency (%)
T 18
 
9.4%
D 15
 
7.8%
B 15
 
7.8%
A 15
 
7.8%
S 12
 
6.2%
I 10
 
5.2%
M 9
 
4.7%
C 9
 
4.7%
G 9
 
4.7%
P 9
 
4.7%
Other values (16) 71
37.0%
Other Punctuation
ValueCountFrequency (%)
: 554
44.1%
, 232
18.5%
. 212
 
16.9%
! 107
 
8.5%
? 64
 
5.1%
· 40
 
3.2%
' 18
 
1.4%
" 8
 
0.6%
＆ 6
 
0.5%
/ 5
 
0.4%
Other values (4) 9
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 121
26.9%
0 82
18.3%
2 71
15.8%
3 52
11.6%
5 40
 
8.9%
4 32
 
7.1%
9 15
 
3.3%
8 15
 
3.3%
6 12
 
2.7%
7 9
 
2.0%
Math Symbol
ValueCountFrequency (%)
= 55
91.7%
+ 3
 
5.0%
~ 1
 
1.7%
＝ 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 195
98.5%
[ 3
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 195
98.5%
] 3
 
1.5%
Space Separator
ValueCountFrequency (%)
6257
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19112
65.9%
Common 8421
29.0%
Latin 1459
 
5.0%
Han 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 536
 
2.8%
의 505
 
2.6%
는 466
 
2.4%
다 307
 
1.6%
가 282
 
1.5%
기 280
 
1.5%
을 273
 
1.4%
지 268
 
1.4%
한 244
 
1.3%
하 240
 
1.3%
Other values (885) 15711
82.2%
Latin
ValueCountFrequency (%)
e 151
 
10.3%
o 109
 
7.5%
t 99
 
6.8%
a 93
 
6.4%
r 92
 
6.3%
i 91
 
6.2%
n 79
 
5.4%
s 78
 
5.3%
l 65
 
4.5%
m 50
 
3.4%
Other values (42) 552
37.8%
Common
ValueCountFrequency (%)
6257
74.3%
: 554
 
6.6%
, 232
 
2.8%
. 212
 
2.5%
( 195
 
2.3%
) 195
 
2.3%
1 121
 
1.4%
! 107
 
1.3%
0 82
 
1.0%
2 71
 
0.8%
Other values (25) 395
 
4.7%
Han
ValueCountFrequency (%)
德 3
20.0%
道 3
20.0%
經 3
20.0%
外 2
13.3%
堉 1
 
6.7%
金 1
 
6.7%
下 1
 
6.7%
上 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19112
65.9%
ASCII 9826
33.9%
None 50
 
0.2%
CJK 15
 
0.1%
Misc Symbols 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6257
63.7%
: 554
 
5.6%
, 232
 
2.4%
. 212
 
2.2%
( 195
 
2.0%
) 195
 
2.0%
e 151
 
1.5%
1 121
 
1.2%
o 109
 
1.1%
! 107
 
1.1%
Other values (71) 1693
 
17.2%
Hangul
ValueCountFrequency (%)
이 536
 
2.8%
의 505
 
2.6%
는 466
 
2.4%
다 307
 
1.6%
가 282
 
1.5%
기 280
 
1.5%
을 273
 
1.4%
지 268
 
1.4%
한 244
 
1.3%
하 240
 
1.3%
Other values (885) 15711
82.2%
None
ValueCountFrequency (%)
· 40
80.0%
＆ 6
 
12.0%
％ 3
 
6.0%
＝ 1
 
2.0%
CJK
ValueCountFrequency (%)
德 3
20.0%
道 3
20.0%
經 3
20.0%
外 2
13.3%
堉 1
 
6.7%
金 1
 
6.7%
下 1
 
6.7%
上 1
 
6.7%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Punctuation
ValueCountFrequency (%)
… 2
100.0%

저작자
Text

Distinct1091
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-11T02:04:05.358141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length61
Mean length15.836167
Min length5

Characters and Unicode

Total characters20492
Distinct characters593
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

Unique995 ?
Unique (%)76.9%

Sample

1st row김선우 지음
2nd row이규현 지음
3rd row존 네프,S. L. 민츠 [공]지음 ; 김광수 옮김
4th row김아란,박성우 [공]엮음
5th row서덕희,최은영 [공]엮음
ValueCountFrequency (%)
906
 
15.0%
지음 561
 
9.3%
그림 396
 
6.6%
옮김 361
 
6.0%
글 328
 
5.4%
글·그림 157
 
2.6%
공]지음 57
 
0.9%
번역 38
 
0.6%
엮음 32
 
0.5%
편 32
 
0.5%
Other values (2121) 3175
52.5%
2023-12-11T02:04:06.201942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4749
23.2%
; 906
 
4.4%
지 749
 
3.7%
김 684
 
3.3%
음 666
 
3.3%
그 634
 
3.1%
림 614
 
3.0%
글 533
 
2.6%
이 448
 
2.2%
옮 373
 
1.8%
Other values (583) 10136
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12825
62.6%
Space Separator 4749
 
23.2%
Other Punctuation 1299
 
6.3%
Lowercase Letter 868
 
4.2%
Uppercase Letter 351
 
1.7%
Close Punctuation 196
 
1.0%
Open Punctuation 196
 
1.0%
Decimal Number 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 749
 
5.8%
김 684
 
5.3%
음 666
 
5.2%
그 634
 
4.9%
림 614
 
4.8%
글 533
 
4.2%
이 448
 
3.5%
옮 373
 
2.9%
스 193
 
1.5%
리 190
 
1.5%
Other values (525) 7741
60.4%
Lowercase Letter
ValueCountFrequency (%)
e 135
15.6%
o 100
11.5%
r 81
9.3%
a 79
9.1%
t 70
8.1%
l 63
7.3%
i 63
7.3%
n 62
7.1%
y 44
 
5.1%
s 41
 
4.7%
Other values (13) 130
15.0%
Uppercase Letter
ValueCountFrequency (%)
P 48
13.7%
M 48
13.7%
C 36
10.3%
J 34
9.7%
S 32
9.1%
D 26
7.4%
G 20
 
5.7%
I 18
 
5.1%
K 14
 
4.0%
R 13
 
3.7%
Other values (13) 62
17.7%
Other Punctuation
ValueCountFrequency (%)
; 906
69.7%
· 180
 
13.9%
, 152
 
11.7%
. 61
 
4.7%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 1
20.0%
8 1
20.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
4749
100.0%
Close Punctuation
ValueCountFrequency (%)
] 196
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12825
62.6%
Common 6448
31.5%
Latin 1219
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 749
 
5.8%
김 684
 
5.3%
음 666
 
5.2%
그 634
 
4.9%
림 614
 
4.8%
글 533
 
4.2%
이 448
 
3.5%
옮 373
 
2.9%
스 193
 
1.5%
리 190
 
1.5%
Other values (525) 7741
60.4%
Latin
ValueCountFrequency (%)
e 135
 
11.1%
o 100
 
8.2%
r 81
 
6.6%
a 79
 
6.5%
t 70
 
5.7%
l 63
 
5.2%
i 63
 
5.2%
n 62
 
5.1%
P 48
 
3.9%
M 48
 
3.9%
Other values (36) 470
38.6%
Common
ValueCountFrequency (%)
4749
73.7%
; 906
 
14.1%
] 196
 
3.0%
[ 196
 
3.0%
· 180
 
2.8%
, 152
 
2.4%
. 61
 
0.9%
- 3
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12825
62.6%
ASCII 7487
36.5%
None 180
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4749
63.4%
; 906
 
12.1%
] 196
 
2.6%
[ 196
 
2.6%
, 152
 
2.0%
e 135
 
1.8%
o 100
 
1.3%
r 81
 
1.1%
a 79
 
1.1%
t 70
 
0.9%
Other values (47) 823
 
11.0%
Hangul
ValueCountFrequency (%)
지 749
 
5.8%
김 684
 
5.3%
음 666
 
5.2%
그 634
 
4.9%
림 614
 
4.8%
글 533
 
4.2%
이 448
 
3.5%
옮 373
 
2.9%
스 193
 
1.5%
리 190
 
1.5%
Other values (525) 7741
60.4%
None
ValueCountFrequency (%)
· 180
100.0%

발행자
Text

Distinct581
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-11T02:04:06.803206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length4.5177743
Min length1

Characters and Unicode

Total characters5846
Distinct characters459
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

Unique387 ?
Unique (%)29.9%

Sample

1st row21세기북스
2nd row두란노
3rd row시대의창
4th row창비
5th row창비
ValueCountFrequency (%)
풀빛 40
 
3.0%
창비 38
 
2.9%
대원씨아이 25
 
1.9%
대교 24
 
1.8%
서울문화사 19
 
1.4%
달리 19
 
1.4%
한솔수북 19
 
1.4%
북극곰 17
 
1.3%
비룡소 14
 
1.1%
교유서가 14
 
1.1%
Other values (592) 1093
82.7%
2023-12-11T02:04:07.800638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 239
 
4.1%
북 206
 
3.5%
스 205
 
3.5%
사 119
 
2.0%
어 115
 
2.0%
비 105
 
1.8%
아 100
 
1.7%
리 97
 
1.7%
: 85
 
1.5%
문 74
 
1.3%
Other values (449) 4501
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5472
93.6%
Lowercase Letter 201
 
3.4%
Other Punctuation 92
 
1.6%
Uppercase Letter 43
 
0.7%
Space Separator 28
 
0.5%
Decimal Number 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 239
 
4.4%
북 206
 
3.8%
스 205
 
3.7%
사 119
 
2.2%
어 115
 
2.1%
비 105
 
1.9%
아 100
 
1.8%
리 97
 
1.8%
문 74
 
1.4%
미 70
 
1.3%
Other values (401) 4142
75.7%
Lowercase Letter
ValueCountFrequency (%)
o 32
15.9%
s 23
11.4%
e 18
9.0%
i 18
9.0%
a 14
 
7.0%
l 14
 
7.0%
r 13
 
6.5%
k 12
 
6.0%
n 12
 
6.0%
b 7
 
3.5%
Other values (11) 38
18.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
20.9%
Y 5
11.6%
P 5
11.6%
M 4
9.3%
O 3
 
7.0%
K 3
 
7.0%
S 2
 
4.7%
H 2
 
4.7%
R 2
 
4.7%
N 1
 
2.3%
Other values (7) 7
16.3%
Other Punctuation
ValueCountFrequency (%)
: 85
92.4%
& 2
 
2.2%
# 2
 
2.2%
· 1
 
1.1%
. 1
 
1.1%
' 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
2 3
30.0%
7 1
 
10.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5472
93.6%
Latin 244
 
4.2%
Common 130
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 239
 
4.4%
북 206
 
3.8%
스 205
 
3.7%
사 119
 
2.2%
어 115
 
2.1%
비 105
 
1.9%
아 100
 
1.8%
리 97
 
1.8%
문 74
 
1.4%
미 70
 
1.3%
Other values (401) 4142
75.7%
Latin
ValueCountFrequency (%)
o 32
13.1%
s 23
 
9.4%
e 18
 
7.4%
i 18
 
7.4%
a 14
 
5.7%
l 14
 
5.7%
r 13
 
5.3%
k 12
 
4.9%
n 12
 
4.9%
B 9
 
3.7%
Other values (28) 79
32.4%
Common
ValueCountFrequency (%)
: 85
65.4%
28
 
21.5%
1 6
 
4.6%
2 3
 
2.3%
& 2
 
1.5%
# 2
 
1.5%
· 1
 
0.8%
. 1
 
0.8%
7 1
 
0.8%
' 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5472
93.6%
ASCII 373
 
6.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 239
 
4.4%
북 206
 
3.8%
스 205
 
3.7%
사 119
 
2.2%
어 115
 
2.1%
비 105
 
1.9%
아 100
 
1.8%
리 97
 
1.8%
문 74
 
1.4%
미 70
 
1.3%
Other values (401) 4142
75.7%
ASCII
ValueCountFrequency (%)
: 85
22.8%
o 32
 
8.6%
28
 
7.5%
s 23
 
6.2%
e 18
 
4.8%
i 18
 
4.8%
a 14
 
3.8%
l 14
 
3.8%
r 13
 
3.5%
k 12
 
3.2%
Other values (37) 116
31.1%
None
ValueCountFrequency (%)
· 1
100.0%

발행년
Real number (ℝ)

Distinct21
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.9274
Minimum1987
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.5 KiB
2023-12-11T02:04:08.022364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1987
5-th percentile2012.65
Q12020
median2020
Q32020
95-th percentile2020
Maximum2020
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.095936
Coefficient of variation (CV)0.0015334558
Kurtosis21.813065
Mean2018.9274
Median Absolute Deviation (MAD)0
Skewness-4.1514525
Sum2612492
Variance9.5848195
MonotonicityNot monotonic
2023-12-11T02:04:08.239834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2020 1003
77.5%
2019 122
 
9.4%
2018 24
 
1.9%
2014 19
 
1.5%
2015 17
 
1.3%
2016 17
 
1.3%
2013 14
 
1.1%
2011 13
 
1.0%
2017 13
 
1.0%
2005 11
 
0.9%
Other values (11) 41
 
3.2%
ValueCountFrequency (%)
1987 1
 
0.1%
1995 1
 
0.1%
1996 1
 
0.1%
1998 1
 
0.1%
2004 2
 
0.2%
2005 11
0.9%
2006 10
0.8%
2007 5
0.4%
2008 1
 
0.1%
2009 5
0.4%
ValueCountFrequency (%)
2020 1003
77.5%
2019 122
 
9.4%
2018 24
 
1.9%
2017 13
 
1.0%
2016 17
 
1.3%
2015 17
 
1.3%
2014 19
 
1.5%
2013 14
 
1.1%
2012 8
 
0.6%
2011 13
 
1.0%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
[정관]어린이자료실
696 
[정관]종합자료열람실
598 

Length

Max length11
Median length10
Mean length10.462133
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]어린이자료실 696
53.8%
[정관]종합자료열람실 598
46.2%

Length

2023-12-11T02:04:08.489982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:04:08.679080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]어린이자료실 696
53.8%
정관]종합자료열람실 598
46.2%

Interactions

2023-12-11T02:04:02.106936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:01.739560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:02.282329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:01.912679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:04:08.790177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.3990.830
발행년0.3991.0000.120
자료실명0.8300.1201.000
2023-12-11T02:04:08.942095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.0480.661
발행년-0.0481.0000.127
자료실명0.6610.1271.000

Missing values

2023-12-11T02:04:02.516933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:04:02.708262image/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(그만두기도 시작하기도 좋은 나이,)40세에 은퇴하다김선우 지음21세기북스2019[정관]종합자료열람실
12기도 : 가장 위대한 일이규현 지음두란노2016[정관]종합자료열람실
23가치투자, 주식황제 존 네프처럼 하라존 네프,S. L. 민츠 [공]지음 ; 김광수 옮김시대의창2016[정관]종합자료열람실
34국어 교과서 작품 읽기. 중2 시김아란,박성우 [공]엮음창비2018[정관]종합자료열람실
45국어 교과서 작품 읽기. 중2 소설서덕희,최은영 [공]엮음창비2018[정관]종합자료열람실
56국어 교과서 작품 읽기. 중2 수필박종호,주예지 [공]엮음창비2018[정관]종합자료열람실
67꿈에서 그린 아이러니이정수 지음부크크2020[정관]종합자료열람실
78(꿈을 꾸는 어린이)드론 대백과안명철 글주니어골든벨2019[정관]어린이자료실
89내 월급에 딱 맞는 쪽집게 재테크 : 오늘부터 시작하는 월급쟁이 재테크 수업서혁노 지음원앤원북스2020[정관]종합자료열람실
910노래로 그리는 행복한 교실 : 선생님과 아이들의 삶을 담는 교육 이야기이호재 지음푸른칠판2020[정관]종합자료열람실
순번서명저작자발행자발행년자료실명
12841285눈꺼풀 : 윤성희 소설윤성희 지음 ; 남수 그림창비2020[정관]종합자료열람실
12851286개를 보내다 : 표명희 소설표명희 지음 ; 진소 그림창비2020[정관]종합자료열람실
12861287멍세핀 : 박유진 소설박유진 지음 ; 안유진 그림창비2020[정관]종합자료열람실
12871288칡최영희 지음 ; 김윤지 그림창비2020[정관]종합자료열람실
12881289범수 가라사대 : 신여랑 소설신여랑 지음 ; 하루치 그림창비2020[정관]종합자료열람실
12891290아이 캔 : 임어진 소설임어진 지음 ; 임지수 그림창비2020[정관]종합자료열람실
12901291화폐전쟁=Curency war. 1, 달러의 종말쑹훙빙 지음 ; 차혜정 옮김알에이치코리아2020[정관]종합자료열람실
12911292화폐전쟁=Curency war. 2, 금권 천하쑹훙빙 지음 ; 홍순도 옮김알에이치코리아2020[정관]종합자료열람실
12921293화폐전쟁=Curency war. 3, 금융 하이 프런티어쑹훙빙 지음 ; 홍순도 옮김알에이치코리아2020[정관]종합자료열람실
12931294화폐전쟁=Curency war. 4, 전국시대쑹훙빙 지음 ; 홍순도 옮김알에이치코리아2020[정관]종합자료열람실