Overview

Dataset statistics

Number of variables7
Number of observations8145
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory453.5 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description부산광역시해운대구_도서관신착도서현황_20230711
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
발행년 is highly imbalanced (56.4%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:14:00.988617
Analysis finished2023-12-10 16:14:05.019663
Duration4.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct8145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4073
Minimum1
Maximum8145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size71.7 KiB
2023-12-11T01:14:05.156564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile408.2
Q12037
median4073
Q36109
95-th percentile7737.8
Maximum8145
Range8144
Interquartile range (IQR)4072

Descriptive statistics

Standard deviation2351.4033
Coefficient of variation (CV)0.57731483
Kurtosis-1.2
Mean4073
Median Absolute Deviation (MAD)2036
Skewness0
Sum33174585
Variance5529097.5
MonotonicityStrictly increasing
2023-12-11T01:14:05.493726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5427 1
 
< 0.1%
5440 1
 
< 0.1%
5439 1
 
< 0.1%
5438 1
 
< 0.1%
5437 1
 
< 0.1%
5436 1
 
< 0.1%
5435 1
 
< 0.1%
5434 1
 
< 0.1%
5433 1
 
< 0.1%
Other values (8135) 8135
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 (%)
8145 1
< 0.1%
8144 1
< 0.1%
8143 1
< 0.1%
8142 1
< 0.1%
8141 1
< 0.1%
8140 1
< 0.1%
8139 1
< 0.1%
8138 1
< 0.1%
8137 1
< 0.1%
8136 1
< 0.1%

서명
Text

Distinct6917
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-11T01:14:06.437229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length73
Mean length17.784408
Min length1

Characters and Unicode

Total characters144854
Distinct characters1296
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5941 ?
Unique (%)72.9%

Sample

1st row(8문장으로 끝내는) 유럽여행 영어회화
2nd row8초만 누르면 통증이 사라진다! : 통증 잡는 기적의 '스위치'요법
3rd row자료 구조
4th row(거멀라마 자이,) 꽃을 보며 기다려 다오 : 네팔의 어린 노동자들을 찾아 떠난 여행
5th row경제기사의 바다에 빠져라
ValueCountFrequency (%)
1699
 
4.4%
더책 408
 
1.1%
큰글 384
 
1.0%
1 296
 
0.8%
2 274
 
0.7%
the 217
 
0.6%
위한 159
 
0.4%
이야기 157
 
0.4%
3 148
 
0.4%
of 115
 
0.3%
Other values (13067) 34440
89.9%
2023-12-11T01:14:07.364723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30153
 
20.8%
2633
 
1.8%
2586
 
1.8%
1762
 
1.2%
, 1681
 
1.2%
: 1657
 
1.1%
. 1572
 
1.1%
1276
 
0.9%
e 1211
 
0.8%
1205
 
0.8%
Other values (1286) 99118
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89673
61.9%
Space Separator 30153
 
20.8%
Lowercase Letter 10606
 
7.3%
Other Punctuation 5892
 
4.1%
Decimal Number 3190
 
2.2%
Uppercase Letter 1724
 
1.2%
Close Punctuation 1682
 
1.2%
Open Punctuation 1681
 
1.2%
Dash Punctuation 143
 
0.1%
Math Symbol 87
 
0.1%
Other values (5) 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2633
 
2.9%
2586
 
2.9%
1762
 
2.0%
1276
 
1.4%
1205
 
1.3%
1192
 
1.3%
1176
 
1.3%
1176
 
1.3%
1151
 
1.3%
1112
 
1.2%
Other values (1187) 74404
83.0%
Lowercase Letter
ValueCountFrequency (%)
e 1211
11.4%
o 1155
 
10.9%
a 838
 
7.9%
t 799
 
7.5%
s 750
 
7.1%
r 727
 
6.9%
i 664
 
6.3%
n 599
 
5.6%
h 535
 
5.0%
d 419
 
4.0%
Other values (16) 2909
27.4%
Uppercase Letter
ValueCountFrequency (%)
T 222
 
12.9%
G 131
 
7.6%
S 114
 
6.6%
M 113
 
6.6%
P 106
 
6.1%
B 96
 
5.6%
D 82
 
4.8%
I 76
 
4.4%
A 75
 
4.4%
N 75
 
4.4%
Other values (16) 634
36.8%
Other Punctuation
ValueCountFrequency (%)
, 1681
28.5%
: 1657
28.1%
. 1572
26.7%
! 504
 
8.6%
? 232
 
3.9%
' 121
 
2.1%
· 72
 
1.2%
12
 
0.2%
& 9
 
0.2%
7
 
0.1%
Other values (8) 25
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 787
24.7%
2 667
20.9%
0 418
13.1%
3 385
12.1%
5 255
 
8.0%
4 226
 
7.1%
6 153
 
4.8%
7 120
 
3.8%
8 96
 
3.0%
9 83
 
2.6%
Math Symbol
ValueCountFrequency (%)
= 36
41.4%
~ 31
35.6%
× 12
 
13.8%
+ 8
 
9.2%
Close Punctuation
ValueCountFrequency (%)
] 1099
65.3%
) 581
34.5%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 1098
65.3%
( 581
34.6%
2
 
0.1%
Letter Number
ValueCountFrequency (%)
10
66.7%
4
 
26.7%
1
 
6.7%
Space Separator
ValueCountFrequency (%)
30153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89652
61.9%
Common 42836
29.6%
Latin 12345
 
8.5%
Han 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2633
 
2.9%
2586
 
2.9%
1762
 
2.0%
1276
 
1.4%
1205
 
1.3%
1192
 
1.3%
1176
 
1.3%
1176
 
1.3%
1151
 
1.3%
1112
 
1.2%
Other values (1177) 74383
83.0%
Latin
ValueCountFrequency (%)
e 1211
 
9.8%
o 1155
 
9.4%
a 838
 
6.8%
t 799
 
6.5%
s 750
 
6.1%
r 727
 
5.9%
i 664
 
5.4%
n 599
 
4.9%
h 535
 
4.3%
d 419
 
3.4%
Other values (45) 4648
37.7%
Common
ValueCountFrequency (%)
30153
70.4%
, 1681
 
3.9%
: 1657
 
3.9%
. 1572
 
3.7%
] 1099
 
2.6%
[ 1098
 
2.6%
1 787
 
1.8%
2 667
 
1.6%
) 581
 
1.4%
( 581
 
1.4%
Other values (34) 2960
 
6.9%
Han
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
2
9.5%
2
9.5%
2
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89649
61.9%
ASCII 55045
38.0%
None 110
 
0.1%
CJK 21
 
< 0.1%
Number Forms 15
 
< 0.1%
Punctuation 10
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30153
54.8%
, 1681
 
3.1%
: 1657
 
3.0%
. 1572
 
2.9%
e 1211
 
2.2%
o 1155
 
2.1%
] 1099
 
2.0%
[ 1098
 
2.0%
a 838
 
1.5%
t 799
 
1.5%
Other values (74) 13782
25.0%
Hangul
ValueCountFrequency (%)
2633
 
2.9%
2586
 
2.9%
1762
 
2.0%
1276
 
1.4%
1205
 
1.3%
1192
 
1.3%
1176
 
1.3%
1176
 
1.3%
1151
 
1.3%
1112
 
1.2%
Other values (1174) 74380
83.0%
None
ValueCountFrequency (%)
· 72
65.5%
12
 
10.9%
× 12
 
10.9%
7
 
6.4%
2
 
1.8%
2
 
1.8%
2
 
1.8%
1
 
0.9%
Number Forms
ValueCountFrequency (%)
10
66.7%
4
 
26.7%
1
 
6.7%
Punctuation
ValueCountFrequency (%)
4
40.0%
3
30.0%
3
30.0%
CJK
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
2
9.5%
2
9.5%
2
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

저자
Text

Distinct5448
Distinct (%)66.9%
Missing2
Missing (%)< 0.1%
Memory size63.8 KiB
2023-12-11T01:14:08.004245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length86
Mean length15.596095
Min length3

Characters and Unicode

Total characters126999
Distinct characters901
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

Unique3981 ?
Unique (%)48.9%

Sample

1st rowMike Hwang 지음
2nd row장민제 지음
3rd row천인국, 공용해, 하상호 [공]지음
4th row신명직 지음
5th row최진기 지음
ValueCountFrequency (%)
5552
 
14.6%
지음 4821
 
12.6%
그림 2435
 
6.4%
옮김 2308
 
6.0%
1929
 
5.1%
by 496
 
1.3%
글·그림 383
 
1.0%
원작 286
 
0.7%
225
 
0.6%
illustrated 145
 
0.4%
Other values (8211) 19573
51.3%
2023-12-11T01:14:08.924973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30031
23.6%
5774
 
4.5%
; 5552
 
4.4%
5038
 
4.0%
4271
 
3.4%
2997
 
2.4%
2946
 
2.3%
2489
 
2.0%
2339
 
1.8%
2335
 
1.8%
Other values (891) 63227
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76018
59.9%
Space Separator 30031
 
23.6%
Lowercase Letter 10833
 
8.5%
Other Punctuation 7028
 
5.5%
Uppercase Letter 1958
 
1.5%
Open Punctuation 532
 
0.4%
Close Punctuation 532
 
0.4%
Decimal Number 42
 
< 0.1%
Dash Punctuation 23
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5774
 
7.6%
5038
 
6.6%
4271
 
5.6%
2997
 
3.9%
2946
 
3.9%
2489
 
3.3%
2339
 
3.1%
2335
 
3.1%
1364
 
1.8%
1164
 
1.5%
Other values (810) 45301
59.6%
Lowercase Letter
ValueCountFrequency (%)
a 1143
10.6%
e 1002
 
9.2%
r 901
 
8.3%
t 785
 
7.2%
y 785
 
7.2%
i 782
 
7.2%
n 782
 
7.2%
l 733
 
6.8%
s 646
 
6.0%
o 597
 
5.5%
Other values (16) 2677
24.7%
Uppercase Letter
ValueCountFrequency (%)
C 182
 
9.3%
J 170
 
8.7%
S 165
 
8.4%
M 165
 
8.4%
T 144
 
7.4%
B 134
 
6.8%
A 122
 
6.2%
G 108
 
5.5%
P 101
 
5.2%
K 87
 
4.4%
Other values (14) 580
29.6%
Decimal Number
ValueCountFrequency (%)
1 13
31.0%
0 7
16.7%
2 6
14.3%
9 6
14.3%
3 4
 
9.5%
8 2
 
4.8%
7 2
 
4.8%
5 1
 
2.4%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
; 5552
79.0%
, 733
 
10.4%
· 450
 
6.4%
. 199
 
2.8%
: 78
 
1.1%
' 14
 
0.2%
? 1
 
< 0.1%
@ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 491
92.3%
( 34
 
6.4%
3
 
0.6%
3
 
0.6%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 491
92.3%
) 34
 
6.4%
3
 
0.6%
3
 
0.6%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
30031
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%
Other Number
ValueCountFrequency (%)
¾ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76017
59.9%
Common 38190
30.1%
Latin 12791
 
10.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5774
 
7.6%
5038
 
6.6%
4271
 
5.6%
2997
 
3.9%
2946
 
3.9%
2489
 
3.3%
2339
 
3.1%
2335
 
3.1%
1364
 
1.8%
1164
 
1.5%
Other values (809) 45300
59.6%
Latin
ValueCountFrequency (%)
a 1143
 
8.9%
e 1002
 
7.8%
r 901
 
7.0%
t 785
 
6.1%
y 785
 
6.1%
i 782
 
6.1%
n 782
 
6.1%
l 733
 
5.7%
s 646
 
5.1%
o 597
 
4.7%
Other values (40) 4635
36.2%
Common
ValueCountFrequency (%)
30031
78.6%
; 5552
 
14.5%
, 733
 
1.9%
[ 491
 
1.3%
] 491
 
1.3%
· 450
 
1.2%
. 199
 
0.5%
: 78
 
0.2%
) 34
 
0.1%
( 34
 
0.1%
Other values (21) 97
 
0.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76015
59.9%
ASCII 50515
39.8%
None 466
 
0.4%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30031
59.4%
; 5552
 
11.0%
a 1143
 
2.3%
e 1002
 
2.0%
r 901
 
1.8%
t 785
 
1.6%
y 785
 
1.6%
i 782
 
1.5%
n 782
 
1.5%
l 733
 
1.5%
Other values (62) 8019
 
15.9%
Hangul
ValueCountFrequency (%)
5774
 
7.6%
5038
 
6.6%
4271
 
5.6%
2997
 
3.9%
2946
 
3.9%
2489
 
3.3%
2339
 
3.1%
2335
 
3.1%
1364
 
1.8%
1164
 
1.5%
Other values (808) 45298
59.6%
None
ValueCountFrequency (%)
· 450
96.6%
3
 
0.6%
3
 
0.6%
3
 
0.6%
3
 
0.6%
1
 
0.2%
1
 
0.2%
× 1
 
0.2%
¾ 1
 
0.2%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct1806
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-11T01:14:09.389306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length5.3642726
Min length1

Characters and Unicode

Total characters43692
Distinct characters663
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique811 ?
Unique (%)10.0%

Sample

1st rowMiklish
2nd row비타북스:헬스조선
3rd row생능출판사
4th row고즈윈
5th row스마트북스
ValueCountFrequency (%)
창비 140
 
1.6%
서울문화사 130
 
1.5%
위즈덤하우스 119
 
1.4%
천개의바람 111
 
1.3%
문학동네 109
 
1.3%
아들과딸 109
 
1.3%
비룡소 103
 
1.2%
미래엔:아이세움 102
 
1.2%
김영사 88
 
1.0%
scholastic 79
 
0.9%
Other values (1873) 7493
87.3%
2023-12-11T01:14:10.109345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1803
 
4.1%
1469
 
3.4%
1367
 
3.1%
: 1051
 
2.4%
967
 
2.2%
857
 
2.0%
845
 
1.9%
o 594
 
1.4%
560
 
1.3%
546
 
1.2%
Other values (653) 33633
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35772
81.9%
Lowercase Letter 4877
 
11.2%
Other Punctuation 1138
 
2.6%
Uppercase Letter 1117
 
2.6%
Space Separator 438
 
1.0%
Decimal Number 114
 
0.3%
Close Punctuation 99
 
0.2%
Open Punctuation 99
 
0.2%
Dash Punctuation 33
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1803
 
5.0%
1469
 
4.1%
1367
 
3.8%
967
 
2.7%
857
 
2.4%
845
 
2.4%
560
 
1.6%
546
 
1.5%
541
 
1.5%
505
 
1.4%
Other values (579) 26312
73.6%
Lowercase Letter
ValueCountFrequency (%)
o 594
12.2%
e 429
 
8.8%
s 421
 
8.6%
i 409
 
8.4%
n 396
 
8.1%
a 343
 
7.0%
r 313
 
6.4%
l 278
 
5.7%
t 270
 
5.5%
c 208
 
4.3%
Other values (15) 1216
24.9%
Uppercase Letter
ValueCountFrequency (%)
S 201
18.0%
B 172
15.4%
T 78
 
7.0%
P 77
 
6.9%
C 65
 
5.8%
L 58
 
5.2%
E 52
 
4.7%
H 50
 
4.5%
R 46
 
4.1%
O 42
 
3.8%
Other values (15) 276
24.7%
Other Punctuation
ValueCountFrequency (%)
: 1051
92.4%
· 42
 
3.7%
& 14
 
1.2%
' 12
 
1.1%
. 10
 
0.9%
5
 
0.4%
, 2
 
0.2%
# 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 54
47.4%
1 46
40.4%
6 6
 
5.3%
4 2
 
1.8%
8 2
 
1.8%
9 2
 
1.8%
7 1
 
0.9%
3 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
] 57
57.6%
) 42
42.4%
Open Punctuation
ValueCountFrequency (%)
[ 57
57.6%
( 42
42.4%
Space Separator
ValueCountFrequency (%)
438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35775
81.9%
Latin 5994
 
13.7%
Common 1923
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1803
 
5.0%
1469
 
4.1%
1367
 
3.8%
967
 
2.7%
857
 
2.4%
845
 
2.4%
560
 
1.6%
546
 
1.5%
541
 
1.5%
505
 
1.4%
Other values (580) 26315
73.6%
Latin
ValueCountFrequency (%)
o 594
 
9.9%
e 429
 
7.2%
s 421
 
7.0%
i 409
 
6.8%
n 396
 
6.6%
a 343
 
5.7%
r 313
 
5.2%
l 278
 
4.6%
t 270
 
4.5%
c 208
 
3.5%
Other values (40) 2333
38.9%
Common
ValueCountFrequency (%)
: 1051
54.7%
438
22.8%
] 57
 
3.0%
[ 57
 
3.0%
2 54
 
2.8%
1 46
 
2.4%
) 42
 
2.2%
( 42
 
2.2%
· 42
 
2.2%
- 33
 
1.7%
Other values (13) 61
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35770
81.9%
ASCII 7870
 
18.0%
None 50
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1803
 
5.0%
1469
 
4.1%
1367
 
3.8%
967
 
2.7%
857
 
2.4%
845
 
2.4%
560
 
1.6%
546
 
1.5%
541
 
1.5%
505
 
1.4%
Other values (578) 26310
73.6%
ASCII
ValueCountFrequency (%)
: 1051
 
13.4%
o 594
 
7.5%
438
 
5.6%
e 429
 
5.5%
s 421
 
5.3%
i 409
 
5.2%
n 396
 
5.0%
a 343
 
4.4%
r 313
 
4.0%
l 278
 
3.5%
Other values (61) 3198
40.6%
None
ValueCountFrequency (%)
· 42
84.0%
5
 
10.0%
3
 
6.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

발행년
Categorical

IMBALANCE 

Distinct34
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023
3991 
2022
2337 
2021
629 
2020
 
327
2019
 
231
Other values (29)
630 

Length

Max length6
Median length4
Mean length4.0217311
Min length4

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row2015
2nd row2015
3rd row2016
4th row2010
5th row2011

Common Values

ValueCountFrequency (%)
2023 3991
49.0%
2022 2337
28.7%
2021 629
 
7.7%
2020 327
 
4.0%
2019 231
 
2.8%
2018 118
 
1.4%
2017 83
 
1.0%
2016 81
 
1.0%
[2016] 60
 
0.7%
2014 53
 
0.7%
Other values (24) 235
 
2.9%

Length

2023-12-11T01:14:10.343950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023 3996
49.1%
2022 2341
28.7%
2021 629
 
7.7%
2020 329
 
4.0%
2019 231
 
2.8%
2016 141
 
1.7%
2018 127
 
1.6%
2017 92
 
1.1%
2014 53
 
0.7%
2015 39
 
0.5%
Other values (17) 167
 
2.1%
Distinct8045
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-11T01:14:10.805677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length11.069245
Min length3

Characters and Unicode

Total characters90159
Distinct characters323
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7994 ?
Unique (%)98.1%

Sample

1st row747.5-2
2nd row511.845-1
3rd row005.73-1
4th row818-14
5th row320-2
ValueCountFrequency (%)
아동 1724
 
13.9%
더책 550
 
4.4%
큰글 384
 
3.1%
유아 370
 
3.0%
그림책 324
 
2.6%
원서 298
 
2.4%
어린이 249
 
2.0%
체험 176
 
1.4%
아동부록 44
 
0.4%
d일 34
 
0.3%
Other values (7991) 8208
66.4%
2023-12-11T01:14:11.391509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10962
12.2%
1 9743
10.8%
8 9054
 
10.0%
3 8088
 
9.0%
2 6584
 
7.3%
. 5463
 
6.1%
4 4691
 
5.2%
5 4313
 
4.8%
4216
 
4.7%
9 4107
 
4.6%
Other values (313) 22938
25.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57191
63.4%
Dash Punctuation 10962
 
12.2%
Other Letter 10429
 
11.6%
Other Punctuation 5463
 
6.1%
Space Separator 4216
 
4.7%
Math Symbol 742
 
0.8%
Close Punctuation 545
 
0.6%
Open Punctuation 545
 
0.6%
Uppercase Letter 65
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2188
21.0%
1775
17.0%
875
 
8.4%
552
 
5.3%
384
 
3.7%
384
 
3.7%
382
 
3.7%
338
 
3.2%
324
 
3.1%
316
 
3.0%
Other values (294) 2911
27.9%
Decimal Number
ValueCountFrequency (%)
1 9743
17.0%
8 9054
15.8%
3 8088
14.1%
2 6584
11.5%
4 4691
8.2%
5 4313
7.5%
9 4107
7.2%
0 3710
 
6.5%
7 3628
 
6.3%
6 3273
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
D 60
92.3%
A 5
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 10962
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5463
100.0%
Space Separator
ValueCountFrequency (%)
4216
100.0%
Math Symbol
ValueCountFrequency (%)
= 742
100.0%
Close Punctuation
ValueCountFrequency (%)
] 545
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 545
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79665
88.4%
Hangul 10429
 
11.6%
Latin 65
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2188
21.0%
1775
17.0%
875
 
8.4%
552
 
5.3%
384
 
3.7%
384
 
3.7%
382
 
3.7%
338
 
3.2%
324
 
3.1%
316
 
3.0%
Other values (294) 2911
27.9%
Common
ValueCountFrequency (%)
- 10962
13.8%
1 9743
12.2%
8 9054
11.4%
3 8088
10.2%
2 6584
8.3%
. 5463
6.9%
4 4691
 
5.9%
5 4313
 
5.4%
4216
 
5.3%
9 4107
 
5.2%
Other values (7) 12444
15.6%
Latin
ValueCountFrequency (%)
D 60
92.3%
A 5
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79730
88.4%
Hangul 10429
 
11.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10962
13.7%
1 9743
12.2%
8 9054
11.4%
3 8088
10.1%
2 6584
8.3%
. 5463
6.9%
4 4691
 
5.9%
5 4313
 
5.4%
4216
 
5.3%
9 4107
 
5.2%
Other values (9) 12509
15.7%
Hangul
ValueCountFrequency (%)
2188
21.0%
1775
17.0%
875
 
8.4%
552
 
5.3%
384
 
3.7%
384
 
3.7%
382
 
3.7%
338
 
3.2%
324
 
3.1%
316
 
3.0%
Other values (294) 2911
27.9%

자료실
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
[해운대인문학]종합자료실
2749 
[재송]아동자료실(2층)
1724 
[해운대인문학]어린이자료실
1126 
[작은인문학]자료실
638 
[재송]유아자료실(1층)
492 
Other values (8)
1416 

Length

Max length22
Median length13
Mean length13.375445
Min length8

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row[해운대인문학]종합자료실
2nd row[해운대인문학]종합자료실
3rd row[해운대인문학]종합자료실
4th row[해운대인문학]보존서고(종합실)
5th row[해운대인문학]보존서고(종합실)

Common Values

ValueCountFrequency (%)
[해운대인문학]종합자료실 2749
33.8%
[재송]아동자료실(2층) 1724
21.2%
[해운대인문학]어린이자료실 1126
13.8%
[작은인문학]자료실 638
 
7.8%
[재송]유아자료실(1층) 492
 
6.0%
[해운대인문학]스마트도서관(센텀시티역) 416
 
5.1%
[우2동]자료실 382
 
4.7%
[해운대인문학]유아자료실 281
 
3.4%
[해운대인문학]스마트도서관(문화복합센터) 226
 
2.8%
[재송]디지털자료실(1층) 60
 
0.7%
Other values (3) 51
 
0.6%

Length

2023-12-11T01:14:11.636666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해운대인문학]종합자료실 2749
33.8%
재송]아동자료실(2층 1724
21.2%
해운대인문학]어린이자료실 1126
13.8%
작은인문학]자료실 638
 
7.8%
재송]유아자료실(1층 492
 
6.0%
해운대인문학]스마트도서관(센텀시티역 416
 
5.1%
우2동]자료실 382
 
4.7%
해운대인문학]유아자료실 281
 
3.4%
해운대인문학]스마트도서관(문화복합센터 226
 
2.8%
재송]디지털자료실(1층 60
 
0.7%
Other values (3) 51
 
0.6%

Interactions

2023-12-11T01:14:04.349530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:14:11.763518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년자료실
번호1.0000.4450.842
발행년0.4451.0000.560
자료실0.8420.5601.000
2023-12-11T01:14:11.885252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료실발행년
자료실1.0000.208
발행년0.2081.000
2023-12-11T01:14:12.004992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년자료실
번호1.0000.1720.558
발행년0.1721.0000.208
자료실0.5580.2081.000

Missing values

2023-12-11T01:14:04.633255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:04.900367image/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
01(8문장으로 끝내는) 유럽여행 영어회화Mike Hwang 지음Miklish2015747.5-2[해운대인문학]종합자료실
128초만 누르면 통증이 사라진다! : 통증 잡는 기적의 '스위치'요법장민제 지음비타북스:헬스조선2015511.845-1[해운대인문학]종합자료실
23자료 구조천인국, 공용해, 하상호 [공]지음생능출판사2016005.73-1[해운대인문학]종합자료실
34(거멀라마 자이,) 꽃을 보며 기다려 다오 : 네팔의 어린 노동자들을 찾아 떠난 여행신명직 지음고즈윈2010818-14[해운대인문학]보존서고(종합실)
45경제기사의 바다에 빠져라최진기 지음스마트북스2011320-2[해운대인문학]보존서고(종합실)
56교향곡과의 만남앤드루 후스 지음 ; 김병화 옮김포노2013675.21-1[해운대인문학]종합자료실
67국어시간에 설화읽기. 1, 꿈과 환상, 경이와 이야기들신동훈 엮음휴머니스트2016388.1-1[해운대인문학]종합자료실
78국어시간에 설화읽기. 2, 교훈과 감동, 웃음의 이야기들신동훈 엮음휴머니스트2016388.1-1[해운대인문학]종합자료실
89(기초부터 차근차근!) 찌아요 중국어 첫걸음이상용 지음제이플러스2015720-1[해운대인문학]종합자료실
910깊은 마음의 생태학 = An ecology of deep mind : 인간중심주의를 넘어서김우창 지음김영사2014331.4-1[해운대인문학]보존서고(종합실)
번호서명저자발행자발행년청구기호자료실
81358136Go Go 카카오프렌즈 : 자연탐사. 3, 갈라파고스 제도조주희 글 ; 김정한 그림아울북:북이십일2023아동 408-3-3[우2동]자료실
81368137(채사장의) 지대넓얕. 6, 성장vs분배채사장,마케마케 글 ; 정용환 그림돌핀북2023아동 031-1-6[우2동]자료실
81378138Good bye 코드네임강경수 글·그림시공주니어2023아동 813.8-34-10[우2동]자료실
81388139건방이의 초강력 수련기 : season Ⅱ. 2-2, 귀면을 쓴 자들천효정 글 ; 이정태 그림비룡소2020아동 813.8-35-2[우2동]자료실
81398140건방이의 초강력 수련기 : season Ⅱ. 2-1, 머니맨 어벤저스천효정 글 ; 이정태 그림비룡소2020아동 813.8-35-1[우2동]자료실
81408141건방이의 초강력 수련기 : season Ⅱ. 2-4, 파란 마스크천효정 글 ; 이정태 그림비룡소2021아동 813.8-35-4[우2동]자료실
81418142건방이의 초강력 수련기 : season Ⅱ. 2-3, 심해의 괴물천효정 글 ; 이정태 그림비룡소2021아동 813.8-35-3[우2동]자료실
81428143건방이의 초강력 수련기 : season Ⅱ. 2-5, 피의 계곡천효정 글 ; 이정태 그림비룡소2023아동 813.8-35-5[우2동]자료실
81438144흔한남매. 13흔한남매 원작 ; 백난도 글 ; 유난희 그림아이세움:미래엔2023아동 813.8-23-13[우2동]자료실
81448145(차이코프스키 발레극) 호두까기 인형수자 햄메를레 지음 ; 페터 프리들 그림 ; 김서정 옮김우리교육2009유아 853-1[우2동]자료실