Overview

Dataset statistics

Number of variables6
Number of observations1017
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.8 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20200605
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 17:04:31.741273
Analysis finished2023-12-10 17:04:34.370496
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1017
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean509
Minimum1
Maximum1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:04:34.514032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.8
Q1255
median509
Q3763
95-th percentile966.2
Maximum1017
Range1016
Interquartile range (IQR)508

Descriptive statistics

Standard deviation293.72691
Coefficient of variation (CV)0.57706663
Kurtosis-1.2
Mean509
Median Absolute Deviation (MAD)254
Skewness0
Sum517653
Variance86275.5
MonotonicityStrictly increasing
2023-12-11T02:04:34.760238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
684 1
 
0.1%
671 1
 
0.1%
672 1
 
0.1%
673 1
 
0.1%
674 1
 
0.1%
675 1
 
0.1%
676 1
 
0.1%
677 1
 
0.1%
678 1
 
0.1%
Other values (1007) 1007
99.0%
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 (%)
1017 1
0.1%
1016 1
0.1%
1015 1
0.1%
1014 1
0.1%
1013 1
0.1%
1012 1
0.1%
1011 1
0.1%
1010 1
0.1%
1009 1
0.1%
1008 1
0.1%

서명
Text

Distinct1005
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-11T02:04:35.428499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length52
Mean length24.366765
Min length1

Characters and Unicode

Total characters24781
Distinct characters923
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)97.7%

Sample

1st row겨울왕국 [DVD 녹화자료]. II
2nd row(겨울의 정령) 잭 프로스트 [DVD 녹화자료]
3rd row공룡백만년 크리스마스 특집 [DVD 녹화자료]
4th row광대들 [DVD 녹화자료] : 풍문조작단
5th row(나이는 구십넷, 이름은) 김복동 [DVD 녹화자료]
ValueCountFrequency (%)
410
 
6.8%
오디오북 308
 
5.1%
who 174
 
2.9%
dvd 92
 
1.5%
녹화자료 84
 
1.4%
ebs 68
 
1.1%
역사극장 42
 
0.7%
이야기 31
 
0.5%
인물열전 26
 
0.4%
the 25
 
0.4%
Other values (3350) 4761
79.1%
2023-12-11T02:04:36.367819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5004
 
20.2%
665
 
2.7%
: 414
 
1.7%
[ 400
 
1.6%
] 400
 
1.6%
366
 
1.5%
348
 
1.4%
331
 
1.3%
o 326
 
1.3%
320
 
1.3%
Other values (913) 16207
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14111
56.9%
Space Separator 5004
 
20.2%
Lowercase Letter 2133
 
8.6%
Uppercase Letter 967
 
3.9%
Other Punctuation 962
 
3.9%
Open Punctuation 650
 
2.6%
Close Punctuation 650
 
2.6%
Decimal Number 247
 
1.0%
Math Symbol 46
 
0.2%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
665
 
4.7%
366
 
2.6%
348
 
2.5%
331
 
2.3%
320
 
2.3%
265
 
1.9%
215
 
1.5%
208
 
1.5%
193
 
1.4%
168
 
1.2%
Other values (825) 11032
78.2%
Lowercase Letter
ValueCountFrequency (%)
o 326
15.3%
h 272
12.8%
e 243
11.4%
n 150
 
7.0%
i 145
 
6.8%
a 144
 
6.8%
t 133
 
6.2%
r 107
 
5.0%
s 103
 
4.8%
l 96
 
4.5%
Other values (17) 414
19.4%
Uppercase Letter
ValueCountFrequency (%)
D 196
20.3%
W 190
19.6%
S 103
10.7%
V 96
9.9%
B 85
8.8%
E 72
 
7.4%
T 34
 
3.5%
C 29
 
3.0%
A 23
 
2.4%
M 21
 
2.2%
Other values (15) 118
12.2%
Other Punctuation
ValueCountFrequency (%)
: 414
43.0%
? 198
20.6%
, 176
18.3%
. 80
 
8.3%
! 60
 
6.2%
· 20
 
2.1%
' 8
 
0.8%
2
 
0.2%
% 2
 
0.2%
1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 73
29.6%
0 53
21.5%
2 38
15.4%
5 18
 
7.3%
4 17
 
6.9%
3 16
 
6.5%
9 15
 
6.1%
7 7
 
2.8%
8 6
 
2.4%
6 4
 
1.6%
Open Punctuation
ValueCountFrequency (%)
[ 400
61.5%
( 248
38.2%
1
 
0.2%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 400
61.5%
) 248
38.2%
1
 
0.2%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 42
91.3%
~ 2
 
4.3%
| 1
 
2.2%
× 1
 
2.2%
Space Separator
ValueCountFrequency (%)
5004
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14091
56.9%
Common 7570
30.5%
Latin 3099
 
12.5%
Han 20
 
0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
665
 
4.7%
366
 
2.6%
348
 
2.5%
331
 
2.3%
320
 
2.3%
265
 
1.9%
215
 
1.5%
208
 
1.5%
193
 
1.4%
168
 
1.2%
Other values (810) 11012
78.1%
Latin
ValueCountFrequency (%)
o 326
 
10.5%
h 272
 
8.8%
e 243
 
7.8%
D 196
 
6.3%
W 190
 
6.1%
n 150
 
4.8%
i 145
 
4.7%
a 144
 
4.6%
t 133
 
4.3%
r 107
 
3.5%
Other values (41) 1193
38.5%
Common
ValueCountFrequency (%)
5004
66.1%
: 414
 
5.5%
[ 400
 
5.3%
] 400
 
5.3%
( 248
 
3.3%
) 248
 
3.3%
? 198
 
2.6%
, 176
 
2.3%
. 80
 
1.1%
1 73
 
1.0%
Other values (26) 329
 
4.3%
Han
ValueCountFrequency (%)
4
20.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
西 1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (5) 5
25.0%
Greek
ValueCountFrequency (%)
χ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14091
56.9%
ASCII 10637
42.9%
None 29
 
0.1%
CJK 20
 
0.1%
Punctuation 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5004
47.0%
: 414
 
3.9%
[ 400
 
3.8%
] 400
 
3.8%
o 326
 
3.1%
h 272
 
2.6%
( 248
 
2.3%
) 248
 
2.3%
e 243
 
2.3%
? 198
 
1.9%
Other values (68) 2884
27.1%
Hangul
ValueCountFrequency (%)
665
 
4.7%
366
 
2.6%
348
 
2.5%
331
 
2.3%
320
 
2.3%
265
 
1.9%
215
 
1.5%
208
 
1.5%
193
 
1.4%
168
 
1.2%
Other values (810) 11012
78.1%
None
ValueCountFrequency (%)
· 20
69.0%
2
 
6.9%
1
 
3.4%
1
 
3.4%
1
 
3.4%
1
 
3.4%
× 1
 
3.4%
1
 
3.4%
χ 1
 
3.4%
CJK
ValueCountFrequency (%)
4
20.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
西 1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (5) 5
25.0%
Punctuation
ValueCountFrequency (%)
4
100.0%
Distinct819
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-11T02:04:36.823586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length85
Mean length17.383481
Min length3

Characters and Unicode

Total characters17679
Distinct characters539
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

Unique751 ?
Unique (%)73.8%

Sample

1st row크리스 벅,제니퍼 리 [공]감독
2nd row줄스 배스,아더 랭킨 주니어 [공]감독
3rd row돈 불르츠 감독
4th row김주호 감독
5th row송원근 감독
ValueCountFrequency (%)
622
 
12.9%
지음 481
 
10.0%
그림 262
 
5.4%
258
 
5.3%
옮김 200
 
4.1%
by 190
 
3.9%
written 80
 
1.7%
illustrated 80
 
1.7%
ebs 68
 
1.4%
감독 63
 
1.3%
Other values (1501) 2527
52.3%
2023-12-11T02:04:37.589276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3815
 
21.6%
; 622
 
3.5%
578
 
3.3%
522
 
3.0%
t 423
 
2.4%
383
 
2.2%
n 361
 
2.0%
e 354
 
2.0%
318
 
1.8%
310
 
1.8%
Other values (529) 9993
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8426
47.7%
Space Separator 3815
21.6%
Lowercase Letter 3715
21.0%
Other Punctuation 846
 
4.8%
Uppercase Letter 749
 
4.2%
Open Punctuation 62
 
0.4%
Close Punctuation 62
 
0.4%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
578
 
6.9%
522
 
6.2%
383
 
4.5%
318
 
3.8%
310
 
3.7%
306
 
3.6%
295
 
3.5%
212
 
2.5%
186
 
2.2%
124
 
1.5%
Other values (473) 5192
61.6%
Uppercase Letter
ValueCountFrequency (%)
S 170
22.7%
B 105
14.0%
E 84
11.2%
J 83
11.1%
H 56
 
7.5%
C 47
 
6.3%
K 42
 
5.6%
Y 34
 
4.5%
L 20
 
2.7%
P 18
 
2.4%
Other values (14) 90
12.0%
Lowercase Letter
ValueCountFrequency (%)
t 423
11.4%
n 361
9.7%
e 354
 
9.5%
a 299
 
8.0%
i 269
 
7.2%
u 248
 
6.7%
y 243
 
6.5%
r 218
 
5.9%
l 218
 
5.9%
b 190
 
5.1%
Other values (11) 892
24.0%
Other Punctuation
ValueCountFrequency (%)
; 622
73.5%
, 86
 
10.2%
. 66
 
7.8%
: 36
 
4.3%
· 36
 
4.3%
Open Punctuation
ValueCountFrequency (%)
[ 61
98.4%
1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
] 61
98.4%
1
 
1.6%
Space Separator
ValueCountFrequency (%)
3815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8426
47.7%
Common 4789
27.1%
Latin 4464
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
578
 
6.9%
522
 
6.2%
383
 
4.5%
318
 
3.8%
310
 
3.7%
306
 
3.6%
295
 
3.5%
212
 
2.5%
186
 
2.2%
124
 
1.5%
Other values (473) 5192
61.6%
Latin
ValueCountFrequency (%)
t 423
 
9.5%
n 361
 
8.1%
e 354
 
7.9%
a 299
 
6.7%
i 269
 
6.0%
u 248
 
5.6%
y 243
 
5.4%
r 218
 
4.9%
l 218
 
4.9%
b 190
 
4.3%
Other values (35) 1641
36.8%
Common
ValueCountFrequency (%)
3815
79.7%
; 622
 
13.0%
, 86
 
1.8%
. 66
 
1.4%
[ 61
 
1.3%
] 61
 
1.3%
: 36
 
0.8%
· 36
 
0.8%
- 4
 
0.1%
1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9215
52.1%
Hangul 8426
47.7%
None 38
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3815
41.4%
; 622
 
6.7%
t 423
 
4.6%
n 361
 
3.9%
e 354
 
3.8%
a 299
 
3.2%
i 269
 
2.9%
u 248
 
2.7%
y 243
 
2.6%
r 218
 
2.4%
Other values (43) 2363
25.6%
Hangul
ValueCountFrequency (%)
578
 
6.9%
522
 
6.2%
383
 
4.5%
318
 
3.8%
310
 
3.7%
306
 
3.6%
295
 
3.5%
212
 
2.5%
186
 
2.2%
124
 
1.5%
Other values (473) 5192
61.6%
None
ValueCountFrequency (%)
· 36
94.7%
1
 
2.6%
1
 
2.6%
Distinct439
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-11T02:04:38.097989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length5.6479843
Min length1

Characters and Unicode

Total characters5744
Distinct characters427
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

Unique330 ?
Unique (%)32.4%

Sample

1st rowSM Life Design Group
2nd row에이프릴 엔터테인먼트 [제작·판매]
3rd row영상공감 [제작]
4th row에스엠라이프디자인그룹 [제작]
5th row더콘텐츠온:루커스 엔터테인먼트 [제작]
ValueCountFrequency (%)
다산어린이 142
 
11.9%
ebs 68
 
5.7%
aram 50
 
4.2%
제작·판매 45
 
3.8%
제작 38
 
3.2%
dasan 30
 
2.5%
kid 30
 
2.5%
엔터테인먼트 22
 
1.8%
영상공감 19
 
1.6%
태믹스 17
 
1.4%
Other values (455) 734
61.4%
2023-12-11T02:04:38.889160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
 
4.7%
210
 
3.7%
178
 
3.1%
177
 
3.1%
162
 
2.8%
159
 
2.8%
142
 
2.5%
a 117
 
2.0%
112
 
1.9%
94
 
1.6%
Other values (417) 4123
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4395
76.5%
Lowercase Letter 444
 
7.7%
Uppercase Letter 373
 
6.5%
Space Separator 178
 
3.1%
Other Punctuation 131
 
2.3%
Close Punctuation 96
 
1.7%
Open Punctuation 96
 
1.7%
Decimal Number 31
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
270
 
6.1%
210
 
4.8%
177
 
4.0%
162
 
3.7%
159
 
3.6%
142
 
3.2%
112
 
2.5%
94
 
2.1%
89
 
2.0%
71
 
1.6%
Other values (364) 2909
66.2%
Uppercase Letter
ValueCountFrequency (%)
B 79
21.2%
S 73
19.6%
E 68
18.2%
A 50
13.4%
D 33
8.8%
K 32
8.6%
P 9
 
2.4%
M 9
 
2.4%
R 3
 
0.8%
L 3
 
0.8%
Other values (10) 14
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 117
26.4%
r 56
12.6%
m 53
11.9%
i 48
10.8%
n 44
 
9.9%
s 35
 
7.9%
d 32
 
7.2%
o 16
 
3.6%
e 14
 
3.2%
g 6
 
1.4%
Other values (8) 23
 
5.2%
Decimal Number
ValueCountFrequency (%)
1 13
41.9%
2 11
35.5%
5 3
 
9.7%
6 2
 
6.5%
4 1
 
3.2%
8 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
: 75
57.3%
· 50
38.2%
# 5
 
3.8%
. 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
] 89
92.7%
) 7
 
7.3%
Open Punctuation
ValueCountFrequency (%)
[ 89
92.7%
( 7
 
7.3%
Space Separator
ValueCountFrequency (%)
178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4395
76.5%
Latin 817
 
14.2%
Common 532
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
270
 
6.1%
210
 
4.8%
177
 
4.0%
162
 
3.7%
159
 
3.6%
142
 
3.2%
112
 
2.5%
94
 
2.1%
89
 
2.0%
71
 
1.6%
Other values (364) 2909
66.2%
Latin
ValueCountFrequency (%)
a 117
14.3%
B 79
9.7%
S 73
 
8.9%
E 68
 
8.3%
r 56
 
6.9%
m 53
 
6.5%
A 50
 
6.1%
i 48
 
5.9%
n 44
 
5.4%
s 35
 
4.3%
Other values (28) 194
23.7%
Common
ValueCountFrequency (%)
178
33.5%
] 89
16.7%
[ 89
16.7%
: 75
14.1%
· 50
 
9.4%
1 13
 
2.4%
2 11
 
2.1%
) 7
 
1.3%
( 7
 
1.3%
# 5
 
0.9%
Other values (5) 8
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4395
76.5%
ASCII 1299
 
22.6%
None 50
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
270
 
6.1%
210
 
4.8%
177
 
4.0%
162
 
3.7%
159
 
3.6%
142
 
3.2%
112
 
2.5%
94
 
2.1%
89
 
2.0%
71
 
1.6%
Other values (364) 2909
66.2%
ASCII
ValueCountFrequency (%)
178
13.7%
a 117
 
9.0%
] 89
 
6.9%
[ 89
 
6.9%
B 79
 
6.1%
: 75
 
5.8%
S 73
 
5.6%
E 68
 
5.2%
r 56
 
4.3%
m 53
 
4.1%
Other values (42) 422
32.5%
None
ValueCountFrequency (%)
· 50
100.0%

발행년
Real number (ℝ)

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.0246
Minimum2001
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-11T02:04:39.122221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2015
Q12019
median2019
Q32020
95-th percentile2020
Maximum2020
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5001265
Coefficient of variation (CV)0.00074299564
Kurtosis22.078809
Mean2019.0246
Median Absolute Deviation (MAD)1
Skewness-3.2302754
Sum2053348
Variance2.2503794
MonotonicityNot monotonic
2023-12-11T02:04:39.331836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2020 484
47.6%
2019 363
35.7%
2015 70
 
6.9%
2018 65
 
6.4%
2016 21
 
2.1%
2017 11
 
1.1%
2014 1
 
0.1%
2013 1
 
0.1%
2001 1
 
0.1%
ValueCountFrequency (%)
2001 1
 
0.1%
2013 1
 
0.1%
2014 1
 
0.1%
2015 70
 
6.9%
2016 21
 
2.1%
2017 11
 
1.1%
2018 65
 
6.4%
2019 363
35.7%
2020 484
47.6%
ValueCountFrequency (%)
2020 484
47.6%
2019 363
35.7%
2018 65
 
6.4%
2017 11
 
1.1%
2016 21
 
2.1%
2015 70
 
6.9%
2014 1
 
0.1%
2013 1
 
0.1%
2001 1
 
0.1%

자료실명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
[정관]종합자료열람실
430 
[정관]멀티미디어실
400 
[정관]어린이자료실
187 

Length

Max length11
Median length10
Mean length10.422812
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 430
42.3%
[정관]멀티미디어실 400
39.3%
[정관]어린이자료실 187
18.4%

Length

2023-12-11T02:04:39.608748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:04:39.813108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 430
42.3%
정관]멀티미디어실 400
39.3%
정관]어린이자료실 187
18.4%

Interactions

2023-12-11T02:04:33.658827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:33.269966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:33.839531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:33.453084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:04:39.955559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.7650.885
발행년0.7651.0000.317
자료실명0.8850.3171.000
2023-12-11T02:04:40.126826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1510.823
발행년0.1511.0000.304
자료실명0.8230.3041.000

Missing values

2023-12-11T02:04:34.106837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:04:34.303015image/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
01겨울왕국 [DVD 녹화자료]. II크리스 벅,제니퍼 리 [공]감독SM Life Design Group2020[정관]멀티미디어실
12(겨울의 정령) 잭 프로스트 [DVD 녹화자료]줄스 배스,아더 랭킨 주니어 [공]감독에이프릴 엔터테인먼트 [제작·판매]2020[정관]멀티미디어실
23공룡백만년 크리스마스 특집 [DVD 녹화자료]돈 불르츠 감독영상공감 [제작]2020[정관]멀티미디어실
34광대들 [DVD 녹화자료] : 풍문조작단김주호 감독에스엠라이프디자인그룹 [제작]2020[정관]멀티미디어실
45(나이는 구십넷, 이름은) 김복동 [DVD 녹화자료]송원근 감독더콘텐츠온:루커스 엔터테인먼트 [제작]2020[정관]멀티미디어실
56꼬마 마법사와 마법의 수호자들 [DVD 녹화자료]존 서낵,대니 오클리 [공]감독에이프릴 엔터테인먼트 [제작·판매]2020[정관]멀티미디어실
67꼬마 기관차의 모험 [DVD 녹화자료]엘리엇 M. 부르 감독다온미디어 [제작·판매]2020[정관]멀티미디어실
78꿀벌 마야의 위대한 모험 [DVD 녹화자료]. 3사이토 타츠미 감독에이프릴 엔터테인먼트 [제작·판매]2019[정관]멀티미디어실
89꿀벌 마야의 위대한 모험 [DVD 녹화자료]. 4사이토 타츠미 감독에이프릴 엔터테인먼트 [제작·판매]2020[정관]멀티미디어실
910꿀벌 마야의 위대한 모험 [DVD 녹화자료]. 5사이토 타츠미 감독에이프릴 엔터테인먼트 [제작·판매]2020[정관]멀티미디어실
순번서명저작자발행자발행년자료실명
10071008식물학자의 식탁 : 식물학자가 맛있게 볶아낸 식물 이야기스쥔 지음 ; 박소정 옮김 ; 류춘톈 그림현대지성2019[정관]종합자료열람실
10081009셰일 혁명과 미국 없는 세계 : 세계 질서의 붕괴와 다가올 3개의 전쟁피터 자이한 지음 ; 홍지수 옮김김앤김북스2019[정관]종합자료열람실
10091010문화코드 브랜드디자인 방법론 : 브랜드를 만드는 힘, 문화브랜드가 되는 방법, CCBD최인영 지음북랩(book lab)2018[정관]종합자료열람실
10101011담대한 여정 : 판이 바뀐다, 세상이 바뀐다정세현,황방열 지음메디치:메디치미디어2018[정관]종합자료열람실
10111012온라인 쇼핑의 종말 : 리테일 혁명이 만드는 새로운 미래바이난트 용건 지음 ; 문경록 옮김지식노마드2019[정관]종합자료열람실
10121013셜록 홈스 과학수사 클럽=Sherlock Holmes forensic science club유제설,정명섭 [공]지음와이즈맵2018[정관]종합자료열람실
10131014익사이팅 사이언스 : 그림과 상상과 비유로 체험하는 재미있고 유쾌한 교양과학지은이: 조엘 레비 ; 옮긴이: 이영기엑스오북스2019[정관]종합자료열람실
10141015중동은 왜 싸우는가? : 정체성의 투쟁, 중동사 21장면박정욱 지음지식프레임2018[정관]종합자료열람실
10151016조선왕실의 미용과 치장이민주 지음세창출판사2019[정관]종합자료열람실
10161017삐딱할 용기 : 불온한 교사 양성 과정. 3하승수 ...[등]글교육공동체벗2018[정관]종합자료열람실