Overview

Dataset statistics

Number of variables6
Number of observations1552
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.9 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20220730
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 17:01:11.857182
Analysis finished2023-12-10 17:01:14.493691
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1552
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.5
Minimum1
Maximum1552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T02:01:14.589408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile78.55
Q1388.75
median776.5
Q31164.25
95-th percentile1474.45
Maximum1552
Range1551
Interquartile range (IQR)775.5

Descriptive statistics

Standard deviation448.16812
Coefficient of variation (CV)0.57716436
Kurtosis-1.2
Mean776.5
Median Absolute Deviation (MAD)388
Skewness0
Sum1205128
Variance200854.67
MonotonicityStrictly increasing
2023-12-11T02:01:14.791796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1021 1
 
0.1%
1043 1
 
0.1%
1042 1
 
0.1%
1041 1
 
0.1%
1040 1
 
0.1%
1039 1
 
0.1%
1038 1
 
0.1%
1037 1
 
0.1%
1036 1
 
0.1%
Other values (1542) 1542
99.4%
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 (%)
1552 1
0.1%
1551 1
0.1%
1550 1
0.1%
1549 1
0.1%
1548 1
0.1%
1547 1
0.1%
1546 1
0.1%
1545 1
0.1%
1544 1
0.1%
1543 1
0.1%

서명
Text

Distinct1518
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2023-12-11T02:01:15.285127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length63
Mean length27.33183
Min length2

Characters and Unicode

Total characters42419
Distinct characters1076
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1487 ?
Unique (%)95.8%

Sample

1st row100억 젊은 부자들이 온다 : 3040 평범한 부자들의 현실판 100억 만들기 프로젝트
2nd row(10대가 알아야 할) 미래기술 10 : 세상을 바꾸는 10대 신기술과 미래산업의 최전선 이야기들
3rd row1929년 은일당 사건 기록 : 사라진 페도라의 행방 : 무경 장편소설
4th row(1페이지로 시작하는) 철학 수업 : 생각하는 힘을 길러주는 맨 처음 철학 입문서
5th row3모둠의 용의자들
ValueCountFrequency (%)
1028
 
9.1%
장편소설 87
 
0.8%
위한 71
 
0.6%
이야기 62
 
0.6%
1 55
 
0.5%
40
 
0.4%
39
 
0.3%
2 37
 
0.3%
세계 28
 
0.2%
어떻게 28
 
0.2%
Other values (6142) 9786
86.9%
2023-12-11T02:01:15.991854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9709
 
22.9%
: 1033
 
2.4%
887
 
2.1%
809
 
1.9%
676
 
1.6%
457
 
1.1%
435
 
1.0%
424
 
1.0%
404
 
1.0%
383
 
0.9%
Other values (1066) 27202
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27682
65.3%
Space Separator 9709
 
22.9%
Lowercase Letter 1987
 
4.7%
Other Punctuation 1698
 
4.0%
Decimal Number 596
 
1.4%
Uppercase Letter 284
 
0.7%
Open Punctuation 158
 
0.4%
Close Punctuation 157
 
0.4%
Math Symbol 129
 
0.3%
Dash Punctuation 14
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
887
 
3.2%
809
 
2.9%
676
 
2.4%
457
 
1.7%
435
 
1.6%
424
 
1.5%
404
 
1.5%
383
 
1.4%
367
 
1.3%
360
 
1.3%
Other values (975) 22480
81.2%
Lowercase Letter
ValueCountFrequency (%)
e 248
12.5%
a 171
 
8.6%
o 170
 
8.6%
i 159
 
8.0%
n 159
 
8.0%
t 152
 
7.6%
r 139
 
7.0%
s 124
 
6.2%
l 88
 
4.4%
h 70
 
3.5%
Other values (16) 507
25.5%
Uppercase Letter
ValueCountFrequency (%)
M 26
 
9.2%
T 26
 
9.2%
S 23
 
8.1%
A 21
 
7.4%
B 18
 
6.3%
F 16
 
5.6%
I 14
 
4.9%
G 14
 
4.9%
E 14
 
4.9%
C 13
 
4.6%
Other values (14) 99
34.9%
Other Punctuation
ValueCountFrequency (%)
: 1033
60.8%
, 324
 
19.1%
. 153
 
9.0%
! 70
 
4.1%
· 58
 
3.4%
' 36
 
2.1%
& 5
 
0.3%
% 5
 
0.3%
" 4
 
0.2%
3
 
0.2%
Other values (4) 7
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 174
29.2%
0 119
20.0%
2 83
13.9%
3 59
 
9.9%
5 41
 
6.9%
4 31
 
5.2%
9 29
 
4.9%
7 24
 
4.0%
6 22
 
3.7%
8 14
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 153
96.8%
3
 
1.9%
[ 1
 
0.6%
1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 152
96.8%
3
 
1.9%
] 1
 
0.6%
1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 116
89.9%
~ 9
 
7.0%
+ 3
 
2.3%
× 1
 
0.8%
Space Separator
ValueCountFrequency (%)
9709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27668
65.2%
Common 12466
29.4%
Latin 2271
 
5.4%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
887
 
3.2%
809
 
2.9%
676
 
2.4%
457
 
1.7%
435
 
1.6%
424
 
1.5%
404
 
1.5%
383
 
1.4%
367
 
1.3%
360
 
1.3%
Other values (965) 22466
81.2%
Latin
ValueCountFrequency (%)
e 248
 
10.9%
a 171
 
7.5%
o 170
 
7.5%
i 159
 
7.0%
n 159
 
7.0%
t 152
 
6.7%
r 139
 
6.1%
s 124
 
5.5%
l 88
 
3.9%
h 70
 
3.1%
Other values (40) 791
34.8%
Common
ValueCountFrequency (%)
9709
77.9%
: 1033
 
8.3%
, 324
 
2.6%
1 174
 
1.4%
. 153
 
1.2%
( 153
 
1.2%
) 152
 
1.2%
0 119
 
1.0%
= 116
 
0.9%
2 83
 
0.7%
Other values (31) 450
 
3.6%
Han
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27667
65.2%
ASCII 14661
34.6%
None 68
 
0.2%
CJK 14
 
< 0.1%
Punctuation 6
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9709
66.2%
: 1033
 
7.0%
, 324
 
2.2%
e 248
 
1.7%
1 174
 
1.2%
a 171
 
1.2%
o 170
 
1.2%
i 159
 
1.1%
n 159
 
1.1%
. 153
 
1.0%
Other values (70) 2361
 
16.1%
Hangul
ValueCountFrequency (%)
887
 
3.2%
809
 
2.9%
676
 
2.4%
457
 
1.7%
435
 
1.6%
424
 
1.5%
404
 
1.5%
383
 
1.4%
367
 
1.3%
360
 
1.3%
Other values (964) 22465
81.2%
None
ValueCountFrequency (%)
· 58
85.3%
3
 
4.4%
3
 
4.4%
1
 
1.5%
1
 
1.5%
1
 
1.5%
× 1
 
1.5%
Punctuation
ValueCountFrequency (%)
3
50.0%
2
33.3%
1
 
16.7%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
1
7.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct1431
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2023-12-11T02:01:16.529537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length14.157861
Min length3

Characters and Unicode

Total characters21973
Distinct characters629
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

Unique1338 ?
Unique (%)86.2%

Sample

1st row신희은 지음
2nd row원호섭 지음
3rd row무경 지음
4th row최훈 지음
5th row하유지 지음
ValueCountFrequency (%)
지음 1002
 
15.0%
921
 
13.8%
옮김 517
 
7.7%
그림 304
 
4.6%
259
 
3.9%
공]지음 65
 
1.0%
글·그림 62
 
0.9%
지은이 44
 
0.7%
33
 
0.5%
21
 
0.3%
Other values (2608) 3453
51.7%
2023-12-11T02:01:17.359150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5141
23.4%
1273
 
5.8%
1106
 
5.0%
; 920
 
4.2%
887
 
4.0%
532
 
2.4%
479
 
2.2%
384
 
1.7%
379
 
1.7%
341
 
1.6%
Other values (619) 10531
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15009
68.3%
Space Separator 5141
 
23.4%
Other Punctuation 1337
 
6.1%
Open Punctuation 186
 
0.8%
Close Punctuation 186
 
0.8%
Uppercase Letter 65
 
0.3%
Lowercase Letter 42
 
0.2%
Dash Punctuation 4
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1273
 
8.5%
1106
 
7.4%
887
 
5.9%
532
 
3.5%
479
 
3.2%
384
 
2.6%
379
 
2.5%
341
 
2.3%
247
 
1.6%
230
 
1.5%
Other values (569) 9151
61.0%
Uppercase Letter
ValueCountFrequency (%)
K 10
15.4%
J 8
12.3%
S 6
9.2%
B 5
 
7.7%
M 5
 
7.7%
A 4
 
6.2%
W 4
 
6.2%
O 4
 
6.2%
T 3
 
4.6%
L 3
 
4.6%
Other values (9) 13
20.0%
Lowercase Letter
ValueCountFrequency (%)
a 6
14.3%
r 5
11.9%
o 4
9.5%
e 4
9.5%
n 4
9.5%
i 3
7.1%
m 3
7.1%
u 3
7.1%
s 2
 
4.8%
d 2
 
4.8%
Other values (5) 6
14.3%
Other Punctuation
ValueCountFrequency (%)
; 920
68.8%
, 177
 
13.2%
. 110
 
8.2%
· 73
 
5.5%
: 57
 
4.3%
Open Punctuation
ValueCountFrequency (%)
[ 179
96.2%
( 5
 
2.7%
2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
] 179
96.2%
) 5
 
2.7%
2
 
1.1%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
2 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
5141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15009
68.3%
Common 6857
31.2%
Latin 107
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1273
 
8.5%
1106
 
7.4%
887
 
5.9%
532
 
3.5%
479
 
3.2%
384
 
2.6%
379
 
2.5%
341
 
2.3%
247
 
1.6%
230
 
1.5%
Other values (569) 9151
61.0%
Latin
ValueCountFrequency (%)
K 10
 
9.3%
J 8
 
7.5%
S 6
 
5.6%
a 6
 
5.6%
B 5
 
4.7%
M 5
 
4.7%
r 5
 
4.7%
o 4
 
3.7%
A 4
 
3.7%
W 4
 
3.7%
Other values (24) 50
46.7%
Common
ValueCountFrequency (%)
5141
75.0%
; 920
 
13.4%
[ 179
 
2.6%
] 179
 
2.6%
, 177
 
2.6%
. 110
 
1.6%
· 73
 
1.1%
: 57
 
0.8%
( 5
 
0.1%
) 5
 
0.1%
Other values (6) 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15009
68.3%
ASCII 6887
31.3%
None 77
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5141
74.6%
; 920
 
13.4%
[ 179
 
2.6%
] 179
 
2.6%
, 177
 
2.6%
. 110
 
1.6%
: 57
 
0.8%
K 10
 
0.1%
J 8
 
0.1%
S 6
 
0.1%
Other values (37) 100
 
1.5%
Hangul
ValueCountFrequency (%)
1273
 
8.5%
1106
 
7.4%
887
 
5.9%
532
 
3.5%
479
 
3.2%
384
 
2.6%
379
 
2.5%
341
 
2.3%
247
 
1.6%
230
 
1.5%
Other values (569) 9151
61.0%
None
ValueCountFrequency (%)
· 73
94.8%
2
 
2.6%
2
 
2.6%
Distinct776
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
2023-12-11T02:01:17.774251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length5.4561856
Min length1

Characters and Unicode

Total characters8468
Distinct characters535
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

Unique507 ?
Unique (%)32.7%

Sample

1st row길벗
2nd row나무야
3rd row부크크
4th row빅피시
5th row뜨인돌
ValueCountFrequency (%)
문학동네 26
 
1.6%
위즈덤하우스 26
 
1.6%
비룡소 23
 
1.4%
민음사 19
 
1.2%
올재 18
 
1.1%
김영사 17
 
1.1%
창비 16
 
1.0%
문학과지성사 15
 
0.9%
은행나무 12
 
0.7%
아이세움:미래엔 11
 
0.7%
Other values (793) 1427
88.6%
2023-12-11T02:01:18.331038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 339
 
4.0%
329
 
3.9%
277
 
3.3%
248
 
2.9%
232
 
2.7%
134
 
1.6%
120
 
1.4%
119
 
1.4%
110
 
1.3%
103
 
1.2%
Other values (525) 6457
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7681
90.7%
Other Punctuation 350
 
4.1%
Lowercase Letter 184
 
2.2%
Uppercase Letter 155
 
1.8%
Space Separator 58
 
0.7%
Decimal Number 36
 
0.4%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
329
 
4.3%
277
 
3.6%
248
 
3.2%
232
 
3.0%
134
 
1.7%
120
 
1.6%
119
 
1.5%
110
 
1.4%
103
 
1.3%
99
 
1.3%
Other values (468) 5910
76.9%
Uppercase Letter
ValueCountFrequency (%)
B 29
18.7%
O 22
14.2%
K 21
13.5%
S 20
12.9%
E 10
 
6.5%
P 8
 
5.2%
H 7
 
4.5%
U 6
 
3.9%
L 5
 
3.2%
M 4
 
2.6%
Other values (12) 23
14.8%
Lowercase Letter
ValueCountFrequency (%)
o 26
14.1%
s 21
11.4%
e 21
11.4%
i 20
10.9%
a 16
8.7%
r 15
8.2%
b 11
 
6.0%
n 10
 
5.4%
t 8
 
4.3%
k 6
 
3.3%
Other values (12) 30
16.3%
Decimal Number
ValueCountFrequency (%)
1 15
41.7%
2 15
41.7%
7 2
 
5.6%
4 2
 
5.6%
3 1
 
2.8%
0 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
: 339
96.9%
# 8
 
2.3%
. 2
 
0.6%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7680
90.7%
Common 448
 
5.3%
Latin 339
 
4.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
329
 
4.3%
277
 
3.6%
248
 
3.2%
232
 
3.0%
134
 
1.7%
120
 
1.6%
119
 
1.5%
110
 
1.4%
103
 
1.3%
99
 
1.3%
Other values (467) 5909
76.9%
Latin
ValueCountFrequency (%)
B 29
 
8.6%
o 26
 
7.7%
O 22
 
6.5%
s 21
 
6.2%
K 21
 
6.2%
e 21
 
6.2%
i 20
 
5.9%
S 20
 
5.9%
a 16
 
4.7%
r 15
 
4.4%
Other values (34) 128
37.8%
Common
ValueCountFrequency (%)
: 339
75.7%
58
 
12.9%
1 15
 
3.3%
2 15
 
3.3%
# 8
 
1.8%
) 2
 
0.4%
7 2
 
0.4%
. 2
 
0.4%
( 2
 
0.4%
4 2
 
0.4%
Other values (3) 3
 
0.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7679
90.7%
ASCII 787
 
9.3%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 339
43.1%
58
 
7.4%
B 29
 
3.7%
o 26
 
3.3%
O 22
 
2.8%
s 21
 
2.7%
K 21
 
2.7%
e 21
 
2.7%
i 20
 
2.5%
S 20
 
2.5%
Other values (47) 210
26.7%
Hangul
ValueCountFrequency (%)
329
 
4.3%
277
 
3.6%
248
 
3.2%
232
 
3.0%
134
 
1.7%
120
 
1.6%
119
 
1.5%
110
 
1.4%
103
 
1.3%
99
 
1.3%
Other values (466) 5908
76.9%
CJK
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

발행년
Real number (ℝ)

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.7004
Minimum1993
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-11T02:01:18.532447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1993
5-th percentile2020
Q12022
median2022
Q32022
95-th percentile2022
Maximum2022
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2448941
Coefficient of variation (CV)0.00061576587
Kurtosis220.39446
Mean2021.7004
Median Absolute Deviation (MAD)0
Skewness-12.239951
Sum3137679
Variance1.5497613
MonotonicityNot monotonic
2023-12-11T02:01:18.732962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2022 1307
84.2%
2021 163
 
10.5%
2020 44
 
2.8%
2019 19
 
1.2%
2018 8
 
0.5%
2009 4
 
0.3%
2017 3
 
0.2%
2013 1
 
0.1%
1993 1
 
0.1%
2008 1
 
0.1%
ValueCountFrequency (%)
1993 1
 
0.1%
2008 1
 
0.1%
2009 4
 
0.3%
2013 1
 
0.1%
2016 1
 
0.1%
2017 3
 
0.2%
2018 8
 
0.5%
2019 19
 
1.2%
2020 44
 
2.8%
2021 163
10.5%
ValueCountFrequency (%)
2022 1307
84.2%
2021 163
 
10.5%
2020 44
 
2.8%
2019 19
 
1.2%
2018 8
 
0.5%
2017 3
 
0.2%
2016 1
 
0.1%
2013 1
 
0.1%
2009 4
 
0.3%
2008 1
 
0.1%

자료실명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
[정관]종합자료열람실
859 
[정관]스마트도서관(월내역)
387 
[정관]어린이자료실
274 
[정관]스마트도서관(메가마트)
 
32

Length

Max length16
Median length11
Mean length11.923969
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[정관]스마트도서관(월내역)
2nd row[정관]스마트도서관(월내역)
3rd row[정관]스마트도서관(월내역)
4th row[정관]스마트도서관(월내역)
5th row[정관]스마트도서관(월내역)

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 859
55.3%
[정관]스마트도서관(월내역) 387
24.9%
[정관]어린이자료실 274
 
17.7%
[정관]스마트도서관(메가마트) 32
 
2.1%

Length

2023-12-11T02:01:18.965709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:01:19.158668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 859
55.3%
정관]스마트도서관(월내역 387
24.9%
정관]어린이자료실 274
 
17.7%
정관]스마트도서관(메가마트 32
 
2.1%

Interactions

2023-12-11T02:01:13.813987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:13.416726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:14.007637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:01:13.618502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:01:19.656841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.2120.767
발행년0.2121.0000.040
자료실명0.7670.0401.000
2023-12-11T02:01:19.807445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.000-0.3850.579
발행년-0.3851.0000.024
자료실명0.5790.0241.000

Missing values

2023-12-11T02:01:14.223547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:14.421044image/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
01100억 젊은 부자들이 온다 : 3040 평범한 부자들의 현실판 100억 만들기 프로젝트신희은 지음길벗2022[정관]스마트도서관(월내역)
12(10대가 알아야 할) 미래기술 10 : 세상을 바꾸는 10대 신기술과 미래산업의 최전선 이야기들원호섭 지음나무야2022[정관]스마트도서관(월내역)
231929년 은일당 사건 기록 : 사라진 페도라의 행방 : 무경 장편소설무경 지음부크크2022[정관]스마트도서관(월내역)
34(1페이지로 시작하는) 철학 수업 : 생각하는 힘을 길러주는 맨 처음 철학 입문서최훈 지음빅피시2022[정관]스마트도서관(월내역)
453모둠의 용의자들하유지 지음뜨인돌2022[정관]스마트도서관(월내역)
56H마트에서 울다미셸 자우너 지음 ; 정혜윤 옮김문학동네2022[정관]스마트도서관(월내역)
67MBA 리더십 필독서 43=Must-read MBA leadership 43 : 세계 최고 리더들이 읽는 리더십 필독서 43권을 한 권에나가이 다카히사 지음 ; 김정환 옮김센시오2022[정관]스마트도서관(월내역)
78MZ세대와 꼰대 리더 : 갈등없이 성과 내는 상생의 리더십 스킬김영기 지음좋은땅2022[정관]스마트도서관(월내역)
89UAM : 탄소중립시대 혁신적인 도심항공 모빌리티의 미래한대희 지음슬로디미디어2022[정관]스마트도서관(월내역)
910가려진 새장 너머로곽동일 지음지식과감성2022[정관]스마트도서관(월내역)
순번서명저작자발행자발행년자료실명
15421543해방자 신데렐라리베카 솔닛 글 ; 아서 래컴 그림 ; 홍한별 옮김반비2021[정관]종합자료열람실
15431544해일 : 제7회 한국서정시문학상 수상시집 : 김추인 시집지은이: 김추인한국문연2021[정관]종합자료열람실
15441545헌책방 기담 수집가윤성근 지음 ; 황정하 본문 그림프시케의숲2021[정관]종합자료열람실
15451546형평사를 그리다 : 박구경 시집지은이: 박구경실천문학사(실천문학)2022[정관]종합자료열람실
15461547호미 : 정성숙 소설지은이: 정성숙삶창2021[정관]종합자료열람실
15471548호의는 거절하지 않습니다 : 김남희 산문김남희 지음문학동네2021[정관]종합자료열람실
15481549황색 점멸신호 : 탁명주 장편소설지은이: 탁명주2021[정관]종합자료열람실
15491550회상의 나래한시용해암2022[정관]종합자료열람실
15501551후의 목소리신지명 글 ; 조윤진 그림웅진주니어:웅진씽크빅2021[정관]어린이자료실
15511552흐르는 물줄기는 그대로인데 : 민영찬 시집지은이: 민영찬BG북갤러리2019[정관]종합자료열람실