Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description부산광역시해운대구_도서관신착도서현황_20210721
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075601

Alerts

번호 is highly overall correlated with 자료실High correlation
자료실 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:14:14.255044
Analysis finished2023-12-10 16:14:18.304128
Duration4.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5286.2445
Minimum1
Maximum10565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:14:18.419909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile531.95
Q12647.75
median5287.5
Q37919.25
95-th percentile10043.05
Maximum10565
Range10564
Interquartile range (IQR)5271.5

Descriptive statistics

Standard deviation3046.2025
Coefficient of variation (CV)0.57625078
Kurtosis-1.1952818
Mean5286.2445
Median Absolute Deviation (MAD)2635.5
Skewness0.00089598728
Sum52862445
Variance9279349.6
MonotonicityNot monotonic
2023-12-11T01:14:18.609338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8074 1
 
< 0.1%
4549 1
 
< 0.1%
7329 1
 
< 0.1%
10268 1
 
< 0.1%
7858 1
 
< 0.1%
7667 1
 
< 0.1%
4809 1
 
< 0.1%
1379 1
 
< 0.1%
9033 1
 
< 0.1%
5253 1
 
< 0.1%
Other values (9990) 9990
99.9%
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 (%)
10565 1
< 0.1%
10564 1
< 0.1%
10563 1
< 0.1%
10562 1
< 0.1%
10561 1
< 0.1%
10560 1
< 0.1%
10559 1
< 0.1%
10557 1
< 0.1%
10556 1
< 0.1%
10555 1
< 0.1%

서명
Text

Distinct8723
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:14:19.038798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length78
Mean length17.8002
Min length1

Characters and Unicode

Total characters178002
Distinct characters1423
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7684 ?
Unique (%)76.8%

Sample

1st row어쩜 좋아! : 박은율 그림책
2nd row부정성 편향 : 어떻게 이용하고 극복할 것인가
3rd row패턴 학교. 5 재킷 & 코트 편
4th row냉장고를 여니 양자역학이 나왔다
5th row샤랄랄라 멋과 유행의 역사가 궁금해!
ValueCountFrequency (%)
2673
 
5.5%
이야기 291
 
0.6%
1 276
 
0.6%
2 254
 
0.5%
236
 
0.5%
장편소설 189
 
0.4%
위한 186
 
0.4%
나는 166
 
0.3%
우리 147
 
0.3%
126
 
0.3%
Other values (17365) 44225
90.7%
2023-12-11T01:14:19.712929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40488
 
22.7%
3573
 
2.0%
3467
 
1.9%
2860
 
1.6%
: 2653
 
1.5%
1836
 
1.0%
1831
 
1.0%
1817
 
1.0%
1724
 
1.0%
1710
 
1.0%
Other values (1413) 116043
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123121
69.2%
Space Separator 40488
 
22.7%
Other Punctuation 5302
 
3.0%
Decimal Number 3178
 
1.8%
Lowercase Letter 2792
 
1.6%
Open Punctuation 1045
 
0.6%
Close Punctuation 1045
 
0.6%
Uppercase Letter 745
 
0.4%
Math Symbol 182
 
0.1%
Dash Punctuation 75
 
< 0.1%
Other values (5) 29
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3573
 
2.9%
3467
 
2.8%
2860
 
2.3%
1836
 
1.5%
1831
 
1.5%
1817
 
1.5%
1724
 
1.4%
1710
 
1.4%
1651
 
1.3%
1573
 
1.3%
Other values (1303) 101079
82.1%
Uppercase Letter
ValueCountFrequency (%)
S 79
 
10.6%
T 61
 
8.2%
A 59
 
7.9%
G 50
 
6.7%
I 46
 
6.2%
L 40
 
5.4%
N 35
 
4.7%
F 31
 
4.2%
D 29
 
3.9%
E 29
 
3.9%
Other values (16) 286
38.4%
Lowercase Letter
ValueCountFrequency (%)
e 329
11.8%
o 294
 
10.5%
i 228
 
8.2%
a 214
 
7.7%
s 195
 
7.0%
n 186
 
6.7%
t 181
 
6.5%
r 178
 
6.4%
h 128
 
4.6%
l 121
 
4.3%
Other values (15) 738
26.4%
Other Punctuation
ValueCountFrequency (%)
: 2653
50.0%
. 1328
25.0%
! 589
 
11.1%
? 427
 
8.1%
' 109
 
2.1%
· 100
 
1.9%
" 24
 
0.5%
19
 
0.4%
12
 
0.2%
12
 
0.2%
Other values (7) 29
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 863
27.2%
2 565
17.8%
0 513
16.1%
3 318
 
10.0%
5 241
 
7.6%
4 198
 
6.2%
6 146
 
4.6%
9 126
 
4.0%
7 108
 
3.4%
8 100
 
3.1%
Math Symbol
ValueCountFrequency (%)
= 117
64.3%
~ 30
 
16.5%
× 16
 
8.8%
+ 9
 
4.9%
< 3
 
1.6%
> 3
 
1.6%
2
 
1.1%
| 1
 
0.5%
1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 985
94.3%
[ 51
 
4.9%
4
 
0.4%
3
 
0.3%
1
 
0.1%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 985
94.3%
] 51
 
4.9%
4
 
0.4%
3
 
0.3%
1
 
0.1%
1
 
0.1%
Other Symbol
ValueCountFrequency (%)
5
62.5%
2
 
25.0%
1
 
12.5%
Letter Number
ValueCountFrequency (%)
5
50.0%
4
40.0%
1
 
10.0%
Space Separator
ValueCountFrequency (%)
40488
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123065
69.1%
Common 51334
28.8%
Latin 3547
 
2.0%
Han 56
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3573
 
2.9%
3467
 
2.8%
2860
 
2.3%
1836
 
1.5%
1831
 
1.5%
1817
 
1.5%
1724
 
1.4%
1710
 
1.4%
1651
 
1.3%
1573
 
1.3%
Other values (1264) 101023
82.1%
Common
ValueCountFrequency (%)
40488
78.9%
: 2653
 
5.2%
. 1328
 
2.6%
( 985
 
1.9%
) 985
 
1.9%
1 863
 
1.7%
! 589
 
1.1%
2 565
 
1.1%
0 513
 
1.0%
? 427
 
0.8%
Other values (46) 1938
 
3.8%
Latin
ValueCountFrequency (%)
e 329
 
9.3%
o 294
 
8.3%
i 228
 
6.4%
a 214
 
6.0%
s 195
 
5.5%
n 186
 
5.2%
t 181
 
5.1%
r 178
 
5.0%
h 128
 
3.6%
l 121
 
3.4%
Other values (44) 1493
42.1%
Han
ValueCountFrequency (%)
5
 
8.9%
4
 
7.1%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
Other values (29) 31
55.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123022
69.1%
ASCII 54669
30.7%
None 176
 
0.1%
CJK 53
 
< 0.1%
Compat Jamo 43
 
< 0.1%
Punctuation 18
 
< 0.1%
Number Forms 10
 
< 0.1%
Misc Symbols 5
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40488
74.1%
: 2653
 
4.9%
. 1328
 
2.4%
( 985
 
1.8%
) 985
 
1.8%
1 863
 
1.6%
! 589
 
1.1%
2 565
 
1.0%
0 513
 
0.9%
? 427
 
0.8%
Other values (75) 5273
 
9.6%
Hangul
ValueCountFrequency (%)
3573
 
2.9%
3467
 
2.8%
2860
 
2.3%
1836
 
1.5%
1831
 
1.5%
1817
 
1.5%
1724
 
1.4%
1710
 
1.4%
1651
 
1.3%
1573
 
1.3%
Other values (1255) 100980
82.1%
None
ValueCountFrequency (%)
· 100
56.8%
19
 
10.8%
× 16
 
9.1%
12
 
6.8%
7
 
4.0%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
2
 
1.1%
Other values (6) 6
 
3.4%
Punctuation
ValueCountFrequency (%)
12
66.7%
3
 
16.7%
3
 
16.7%
Compat Jamo
ValueCountFrequency (%)
8
18.6%
8
18.6%
8
18.6%
7
16.3%
6
14.0%
2
 
4.7%
2
 
4.7%
1
 
2.3%
1
 
2.3%
Misc Symbols
ValueCountFrequency (%)
5
100.0%
Number Forms
ValueCountFrequency (%)
5
50.0%
4
40.0%
1
 
10.0%
CJK
ValueCountFrequency (%)
5
 
9.4%
4
 
7.5%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
Other values (26) 28
52.8%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct7742
Distinct (%)77.4%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T01:14:20.241604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length53
Mean length15.589859
Min length2

Characters and Unicode

Total characters155883
Distinct characters985
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6378 ?
Unique (%)63.8%

Sample

1st row박은율 지음
2nd row존 티어니 로이 F. 바우마이스터 [공]지음 ; 정태연 ; 신기원 [공]옮김
3rd row이아소 [편] ; 황선영 옮김
4th row박재용 지음
5th row글터 반딧불 지음 ; 김정진 그림
ValueCountFrequency (%)
7610
 
15.4%
지음 6519
 
13.2%
그림 3424
 
6.9%
옮김 3405
 
6.9%
1815
 
3.7%
글·그림 650
 
1.3%
300
 
0.6%
공]지음 296
 
0.6%
원작 257
 
0.5%
엮음 125
 
0.3%
Other values (10828) 24917
50.5%
2023-12-11T01:14:21.159936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39339
25.2%
7840
 
5.0%
; 7610
 
4.9%
7050
 
4.5%
6013
 
3.9%
4344
 
2.8%
4245
 
2.7%
3476
 
2.2%
3323
 
2.1%
2729
 
1.8%
Other values (975) 69914
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105280
67.5%
Space Separator 39339
 
25.2%
Other Punctuation 8669
 
5.6%
Open Punctuation 772
 
0.5%
Close Punctuation 772
 
0.5%
Uppercase Letter 515
 
0.3%
Lowercase Letter 427
 
0.3%
Dash Punctuation 41
 
< 0.1%
Decimal Number 39
 
< 0.1%
Math Symbol 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7840
 
7.4%
7050
 
6.7%
6013
 
5.7%
4344
 
4.1%
4245
 
4.0%
3476
 
3.3%
3323
 
3.2%
2729
 
2.6%
1703
 
1.6%
1686
 
1.6%
Other values (892) 62871
59.7%
Uppercase Letter
ValueCountFrequency (%)
B 50
 
9.7%
S 50
 
9.7%
M 46
 
8.9%
J 43
 
8.3%
A 35
 
6.8%
R 35
 
6.8%
K 31
 
6.0%
C 29
 
5.6%
T 28
 
5.4%
P 25
 
4.9%
Other values (16) 143
27.8%
Lowercase Letter
ValueCountFrequency (%)
a 52
12.2%
o 47
11.0%
n 41
 
9.6%
e 36
 
8.4%
i 29
 
6.8%
s 28
 
6.6%
m 23
 
5.4%
r 22
 
5.2%
u 19
 
4.4%
l 18
 
4.2%
Other values (15) 112
26.2%
Other Punctuation
ValueCountFrequency (%)
; 7610
87.8%
· 729
 
8.4%
. 295
 
3.4%
: 23
 
0.3%
" 4
 
< 0.1%
' 3
 
< 0.1%
/ 2
 
< 0.1%
? 1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 10
25.6%
2 8
20.5%
0 8
20.5%
3 4
 
10.3%
9 3
 
7.7%
7 2
 
5.1%
6 2
 
5.1%
5 2
 
5.1%
Open Punctuation
ValueCountFrequency (%)
[ 760
98.4%
( 8
 
1.0%
3
 
0.4%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 760
98.4%
) 8
 
1.0%
3
 
0.4%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 11
45.8%
< 11
45.8%
= 2
 
8.3%
Space Separator
ValueCountFrequency (%)
39339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105275
67.5%
Common 49661
31.9%
Latin 942
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7840
 
7.4%
7050
 
6.7%
6013
 
5.7%
4344
 
4.1%
4245
 
4.0%
3476
 
3.3%
3323
 
3.2%
2729
 
2.6%
1703
 
1.6%
1686
 
1.6%
Other values (887) 62866
59.7%
Latin
ValueCountFrequency (%)
a 52
 
5.5%
B 50
 
5.3%
S 50
 
5.3%
o 47
 
5.0%
M 46
 
4.9%
J 43
 
4.6%
n 41
 
4.4%
e 36
 
3.8%
A 35
 
3.7%
R 35
 
3.7%
Other values (41) 507
53.8%
Common
ValueCountFrequency (%)
39339
79.2%
; 7610
 
15.3%
[ 760
 
1.5%
] 760
 
1.5%
· 729
 
1.5%
. 295
 
0.6%
- 41
 
0.1%
: 23
 
< 0.1%
> 11
 
< 0.1%
< 11
 
< 0.1%
Other values (22) 82
 
0.2%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105275
67.5%
ASCII 49859
32.0%
None 739
 
0.5%
Enclosed Alphanum 5
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39339
78.9%
; 7610
 
15.3%
[ 760
 
1.5%
] 760
 
1.5%
. 295
 
0.6%
a 52
 
0.1%
B 50
 
0.1%
S 50
 
0.1%
o 47
 
0.1%
M 46
 
0.1%
Other values (65) 850
 
1.7%
Hangul
ValueCountFrequency (%)
7840
 
7.4%
7050
 
6.7%
6013
 
5.7%
4344
 
4.1%
4245
 
4.0%
3476
 
3.3%
3323
 
3.2%
2729
 
2.6%
1703
 
1.6%
1686
 
1.6%
Other values (887) 62866
59.7%
None
ValueCountFrequency (%)
· 729
98.6%
3
 
0.4%
3
 
0.4%
1
 
0.1%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Enclosed Alphanum
ValueCountFrequency (%)
5
100.0%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Distinct2059
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:14:21.533287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length22
Mean length4.4706
Min length1

Characters and Unicode

Total characters44706
Distinct characters712
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

Unique919 ?
Unique (%)9.2%

Sample

1st row시시한출판사
2nd row에코리브르
3rd row이아소
4th row엠아이디미디어
5th row꼬마이실:이론과실천
ValueCountFrequency (%)
창비 183
 
1.8%
위즈덤하우스 154
 
1.5%
문학동네 152
 
1.5%
비룡소 110
 
1.1%
주니어김영사 82
 
0.8%
미래엔:아이세움 80
 
0.8%
웅진주니어 74
 
0.7%
사계절 72
 
0.7%
서울문화사 71
 
0.7%
알에이치코리아 69
 
0.7%
Other values (2078) 9090
89.7%
2023-12-11T01:14:22.081447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1914
 
4.3%
1612
 
3.6%
1525
 
3.4%
1171
 
2.6%
1020
 
2.3%
924
 
2.1%
762
 
1.7%
693
 
1.6%
624
 
1.4%
607
 
1.4%
Other values (702) 33854
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42525
95.1%
Lowercase Letter 801
 
1.8%
Other Punctuation 521
 
1.2%
Uppercase Letter 435
 
1.0%
Decimal Number 162
 
0.4%
Space Separator 137
 
0.3%
Open Punctuation 61
 
0.1%
Close Punctuation 61
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1914
 
4.5%
1612
 
3.8%
1525
 
3.6%
1171
 
2.8%
1020
 
2.4%
924
 
2.2%
762
 
1.8%
693
 
1.6%
624
 
1.5%
607
 
1.4%
Other values (631) 31673
74.5%
Lowercase Letter
ValueCountFrequency (%)
o 158
19.7%
s 95
11.9%
e 77
9.6%
r 71
8.9%
n 59
 
7.4%
i 59
 
7.4%
k 51
 
6.4%
b 45
 
5.6%
a 43
 
5.4%
d 22
 
2.7%
Other values (14) 121
15.1%
Uppercase Letter
ValueCountFrequency (%)
B 113
26.0%
K 44
 
10.1%
S 43
 
9.9%
M 41
 
9.4%
E 36
 
8.3%
H 30
 
6.9%
R 27
 
6.2%
P 18
 
4.1%
U 14
 
3.2%
F 11
 
2.5%
Other values (12) 58
13.3%
Decimal Number
ValueCountFrequency (%)
2 67
41.4%
1 65
40.1%
4 7
 
4.3%
8 6
 
3.7%
6 4
 
2.5%
9 4
 
2.5%
0 4
 
2.5%
3 2
 
1.2%
5 2
 
1.2%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 485
93.1%
# 11
 
2.1%
9
 
1.7%
& 6
 
1.2%
· 3
 
0.6%
. 3
 
0.6%
; 2
 
0.4%
, 1
 
0.2%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 48
78.7%
( 13
 
21.3%
Close Punctuation
ValueCountFrequency (%)
] 48
78.7%
) 13
 
21.3%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42525
95.1%
Latin 1236
 
2.8%
Common 945
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1914
 
4.5%
1612
 
3.8%
1525
 
3.6%
1171
 
2.8%
1020
 
2.4%
924
 
2.2%
762
 
1.8%
693
 
1.6%
624
 
1.5%
607
 
1.4%
Other values (631) 31673
74.5%
Latin
ValueCountFrequency (%)
o 158
 
12.8%
B 113
 
9.1%
s 95
 
7.7%
e 77
 
6.2%
r 71
 
5.7%
n 59
 
4.8%
i 59
 
4.8%
k 51
 
4.1%
b 45
 
3.6%
K 44
 
3.6%
Other values (36) 464
37.5%
Common
ValueCountFrequency (%)
: 485
51.3%
137
 
14.5%
2 67
 
7.1%
1 65
 
6.9%
[ 48
 
5.1%
] 48
 
5.1%
( 13
 
1.4%
) 13
 
1.4%
# 11
 
1.2%
9
 
1.0%
Other values (15) 49
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42525
95.1%
ASCII 2168
 
4.8%
None 13
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1914
 
4.5%
1612
 
3.8%
1525
 
3.6%
1171
 
2.8%
1020
 
2.4%
924
 
2.2%
762
 
1.8%
693
 
1.6%
624
 
1.5%
607
 
1.4%
Other values (631) 31673
74.5%
ASCII
ValueCountFrequency (%)
: 485
22.4%
o 158
 
7.3%
137
 
6.3%
B 113
 
5.2%
s 95
 
4.4%
e 77
 
3.6%
r 71
 
3.3%
2 67
 
3.1%
1 65
 
3.0%
n 59
 
2.7%
Other values (58) 841
38.8%
None
ValueCountFrequency (%)
9
69.2%
· 3
 
23.1%
1
 
7.7%

발행년
Real number (ℝ)

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.6464
Minimum1991
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:14:22.279669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile2014
Q12020
median2020
Q32021
95-th percentile2021
Maximum2021
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9221261
Coefficient of variation (CV)0.0014468503
Kurtosis22.083579
Mean2019.6464
Median Absolute Deviation (MAD)1
Skewness-4.3795701
Sum20196464
Variance8.5388209
MonotonicityNot monotonic
2023-12-11T01:14:22.469960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2020 4548
45.5%
2021 4090
40.9%
2019 409
 
4.1%
2018 191
 
1.9%
2017 107
 
1.1%
2009 94
 
0.9%
2016 73
 
0.7%
2015 67
 
0.7%
2014 54
 
0.5%
2013 50
 
0.5%
Other values (19) 317
 
3.2%
ValueCountFrequency (%)
1991 1
 
< 0.1%
1994 1
 
< 0.1%
1995 3
 
< 0.1%
1996 3
 
< 0.1%
1997 4
 
< 0.1%
1998 4
 
< 0.1%
1999 7
0.1%
2000 17
0.2%
2001 17
0.2%
2002 10
0.1%
ValueCountFrequency (%)
2021 4090
40.9%
2020 4548
45.5%
2019 409
 
4.1%
2018 191
 
1.9%
2017 107
 
1.1%
2016 73
 
0.7%
2015 67
 
0.7%
2014 54
 
0.5%
2013 50
 
0.5%
2012 45
 
0.4%
Distinct9815
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:14:23.028519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.9836
Min length5

Characters and Unicode

Total characters109836
Distinct characters562
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

Unique9635 ?
Unique (%)96.4%

Sample

1st row그림책 813.8-3457
2nd row199.1-448=2
3rd row592.3-5-5
4th row420.13-38
5th row꿈동산 593-1
ValueCountFrequency (%)
아동 2263
 
15.5%
그림책 674
 
4.6%
유아 673
 
4.6%
꿈동산 650
 
4.5%
어린이 252
 
1.7%
오디오북 48
 
0.3%
육아 14
 
0.1%
990.8-다52후 6
 
< 0.1%
813.8-27 4
 
< 0.1%
813.8-2 3
 
< 0.1%
Other values (9637) 9998
68.5%
2023-12-11T01:14:23.901363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 12620
11.5%
1 11675
10.6%
8 11110
 
10.1%
3 9476
 
8.6%
2 7565
 
6.9%
. 6957
 
6.3%
4 6328
 
5.8%
5 5509
 
5.0%
9 5034
 
4.6%
7 4601
 
4.2%
Other values (552) 28961
26.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69162
63.0%
Other Letter 15510
 
14.1%
Dash Punctuation 12620
 
11.5%
Other Punctuation 6957
 
6.3%
Space Separator 4585
 
4.2%
Math Symbol 499
 
0.5%
Close Punctuation 248
 
0.2%
Open Punctuation 248
 
0.2%
Uppercase Letter 6
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3030
19.5%
2919
18.8%
730
 
4.7%
713
 
4.6%
680
 
4.4%
674
 
4.3%
658
 
4.2%
652
 
4.2%
458
 
3.0%
286
 
1.8%
Other values (533) 4710
30.4%
Decimal Number
ValueCountFrequency (%)
1 11675
16.9%
8 11110
16.1%
3 9476
13.7%
2 7565
10.9%
4 6328
9.1%
5 5509
8.0%
9 5034
7.3%
7 4601
 
6.7%
0 4059
 
5.9%
6 3805
 
5.5%
Math Symbol
ValueCountFrequency (%)
= 498
99.8%
~ 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 12620
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6957
100.0%
Space Separator
ValueCountFrequency (%)
4585
100.0%
Close Punctuation
ValueCountFrequency (%)
] 248
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 248
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94320
85.9%
Hangul 15510
 
14.1%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3030
19.5%
2919
18.8%
730
 
4.7%
713
 
4.6%
680
 
4.4%
674
 
4.3%
658
 
4.2%
652
 
4.2%
458
 
3.0%
286
 
1.8%
Other values (533) 4710
30.4%
Common
ValueCountFrequency (%)
- 12620
13.4%
1 11675
12.4%
8 11110
11.8%
3 9476
10.0%
2 7565
8.0%
. 6957
7.4%
4 6328
6.7%
5 5509
5.8%
9 5034
 
5.3%
7 4601
 
4.9%
Other values (8) 13445
14.3%
Latin
ValueCountFrequency (%)
A 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94326
85.9%
Hangul 15476
 
14.1%
Compat Jamo 34
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 12620
13.4%
1 11675
12.4%
8 11110
11.8%
3 9476
10.0%
2 7565
8.0%
. 6957
7.4%
4 6328
6.7%
5 5509
5.8%
9 5034
 
5.3%
7 4601
 
4.9%
Other values (9) 13451
14.3%
Hangul
ValueCountFrequency (%)
3030
19.6%
2919
18.9%
730
 
4.7%
713
 
4.6%
680
 
4.4%
674
 
4.4%
658
 
4.3%
652
 
4.2%
458
 
3.0%
286
 
1.8%
Other values (523) 4676
30.2%
Compat Jamo
ValueCountFrequency (%)
9
26.5%
5
14.7%
4
11.8%
4
11.8%
4
11.8%
3
 
8.8%
2
 
5.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%

자료실
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
[해운대인문학]종합자료실
3091 
[재송]아동자료실(2층)
1614 
[해운대인문학]어린이자료실
1199 
[반여]종합실
1151 
작은인문학자료실
653 
Other values (6)
2292 

Length

Max length21
Median length13
Mean length12.3471
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[재송]유아자료실(1층)
2nd row[해운대인문학]스마트도서관(센텀시티역)
3rd row[해운대인문학]종합자료실
4th row[해운대인문학]종합자료실
5th row[해운대인문학]어린이자료실

Common Values

ValueCountFrequency (%)
[해운대인문학]종합자료실 3091
30.9%
[재송]아동자료실(2층) 1614
16.1%
[해운대인문학]어린이자료실 1199
 
12.0%
[반여]종합실 1151
 
11.5%
작은인문학자료실 653
 
6.5%
[해운대인문학]유아자료실 623
 
6.2%
[재송]유아자료실(1층) 584
 
5.8%
[해운대인문학]스마트도서관(센텀시티역) 578
 
5.8%
[반여]어린이실 457
 
4.6%
[해운대인문학]오디오북도서관 48
 
0.5%

Length

2023-12-11T01:14:24.208835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해운대인문학]종합자료실 3091
30.9%
재송]아동자료실(2층 1614
16.1%
해운대인문학]어린이자료실 1199
 
12.0%
반여]종합실 1151
 
11.5%
작은인문학자료실 653
 
6.5%
해운대인문학]유아자료실 623
 
6.2%
재송]유아자료실(1층 584
 
5.8%
해운대인문학]스마트도서관(센텀시티역 578
 
5.8%
반여]어린이실 457
 
4.6%
해운대인문학]오디오북도서관 48
 
0.5%

Interactions

2023-12-11T01:14:17.628488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:17.362801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:17.833590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:17.481983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:14:24.339027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년자료실
번호1.0000.3080.838
발행년0.3081.0000.335
자료실0.8380.3351.000
2023-12-11T01:14:24.472206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년자료실
번호1.0000.2370.560
발행년0.2371.0000.149
자료실0.5600.1491.000

Missing values

2023-12-11T01:14:18.045807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:18.218727image/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

번호서명저자발행자발행년청구기호자료실
80738074어쩜 좋아! : 박은율 그림책박은율 지음시시한출판사2020그림책 813.8-3457[재송]유아자료실(1층)
34533454부정성 편향 : 어떻게 이용하고 극복할 것인가존 티어니 로이 F. 바우마이스터 [공]지음 ; 정태연 ; 신기원 [공]옮김에코리브르2020199.1-448=2[해운대인문학]스마트도서관(센텀시티역)
28722873패턴 학교. 5 재킷 & 코트 편이아소 [편] ; 황선영 옮김이아소2020592.3-5-5[해운대인문학]종합자료실
57535754냉장고를 여니 양자역학이 나왔다박재용 지음엠아이디미디어2021420.13-38[해운대인문학]종합자료실
44764477샤랄랄라 멋과 유행의 역사가 궁금해!글터 반딧불 지음 ; 김정진 그림꼬마이실:이론과실천2020꿈동산 593-1[해운대인문학]어린이자료실
65586559아기 발달 놀이 도감 : 0~3세 몸과 마음이 쑥쑥 자라는 생활 속 놀이 156이케다쇼텐 편집부 지음 ; 모치코 일러스트 ; 백운숙 옮김지식너머2020598.4-이874아[반여]종합실
29322933신기한 스쿨버스. 13 진화의 비밀을 파헤치다조애너 콜 글 ; 브루스 디건 그림 ; 이한음 옮김비룡소2021아동 408-104-13[해운대인문학]어린이자료실
16951696동물들의 장례식치축 글·그림고래뱃속2020유아 813.8-1273[해운대인문학]유아자료실
68326833관통하는 마음전우진 지음마카롱2020813.7-전66관[반여]종합실
14741475오늘도 나무를 그리다김충원 쓰고 그림진선아트북2020656.8-2[해운대인문학]종합자료실
번호서명저자발행자발행년청구기호자료실
38433844유령 박쥐 빈센트와 친구들소냐 카이블링어 글 ; 프레데리크 베르드랑 그림 ; 이기숙 옮김북멘토2020아동 853-209=2[해운대인문학]스마트도서관(센텀시티역)
21262127평강공주. 1최사규 지음미래인:미래M&B2021813.7-2014-1[해운대인문학]종합자료실
60536054언어의 우주에서 유쾌하게 항해하는 법 : 어느 '어도락가'의 삶과 공부신견식 지음사이드웨이2020707-신14언[반여]종합실
31813182(교사를 지키고 학생을 바꾸는)교사의 자존감서준호 지음알에이치코리아2021370.4-118[해운대인문학]종합자료실
22442245나 지금 뭐 하게?민씨 글·그림북극곰2020유아 813.8-23-73[해운대인문학]유아자료실
1022110222(Job?) 나는 로켓 탐사선 전문가가 될 거야!주성윤 글·그림국일아이2021어린이 321.55-국42나-14작은인문학자료실
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