Overview

Dataset statistics

Number of variables6
Number of observations5076
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory252.9 KiB
Average record size in memory51.0 B

Variable types

Numeric3
Text3

Dataset

Description부산광역시남구_도서관신착도서목록_20210228
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060954

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:13:56.157348
Analysis finished2023-12-10 16:14:00.079636
Duration3.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct5076
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2538.5
Minimum1
Maximum5076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T01:14:00.224340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile254.75
Q11269.75
median2538.5
Q33807.25
95-th percentile4822.25
Maximum5076
Range5075
Interquartile range (IQR)2537.5

Descriptive statistics

Standard deviation1465.4593
Coefficient of variation (CV)0.57729341
Kurtosis-1.2
Mean2538.5
Median Absolute Deviation (MAD)1269
Skewness0
Sum12885426
Variance2147571
MonotonicityStrictly increasing
2023-12-11T01:14:00.442552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3384 1
 
< 0.1%
3391 1
 
< 0.1%
3390 1
 
< 0.1%
3389 1
 
< 0.1%
3388 1
 
< 0.1%
3387 1
 
< 0.1%
3386 1
 
< 0.1%
3385 1
 
< 0.1%
3383 1
 
< 0.1%
Other values (5066) 5066
99.8%
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 (%)
5076 1
< 0.1%
5075 1
< 0.1%
5074 1
< 0.1%
5073 1
< 0.1%
5072 1
< 0.1%
5071 1
< 0.1%
5070 1
< 0.1%
5069 1
< 0.1%
5068 1
< 0.1%
5067 1
< 0.1%

서명
Text

Distinct4627
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-11T01:14:00.877515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length184
Median length71
Mean length23.973404
Min length1

Characters and Unicode

Total characters121689
Distinct characters1281
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4209 ?
Unique (%)82.9%

Sample

1st rowFive Little Mermaids
2nd rowKnock! Knock! Knock
3rd rowLet's Celebrate! : Special Days Around The World
4th rowLet's Make Rabbits
5th row(The) undefeated
ValueCountFrequency (%)
2550
 
8.1%
이야기 218
 
0.7%
the 217
 
0.7%
장편소설 214
 
0.7%
위한 179
 
0.6%
1 106
 
0.3%
2 99
 
0.3%
시집 96
 
0.3%
내 89
 
0.3%
소설 85
 
0.3%
Other values (13261) 27677
87.8%
2023-12-11T01:14:01.638355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26660
 
21.9%
: 2491
 
2.0%
의 2162
 
1.8%
이 2077
 
1.7%
는 1625
 
1.3%
e 1457
 
1.2%
기 1106
 
0.9%
가 1094
 
0.9%
한 1041
 
0.9%
사 984
 
0.8%
Other values (1271) 80992
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73947
60.8%
Space Separator 26660
 
21.9%
Lowercase Letter 11135
 
9.2%
Other Punctuation 4542
 
3.7%
Decimal Number 2120
 
1.7%
Uppercase Letter 1563
 
1.3%
Open Punctuation 683
 
0.6%
Close Punctuation 683
 
0.6%
Math Symbol 235
 
0.2%
Dash Punctuation 104
 
0.1%
Other values (6) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2162
 
2.9%
이 2077
 
2.8%
는 1625
 
2.2%
기 1106
 
1.5%
가 1094
 
1.5%
한 1041
 
1.4%
사 984
 
1.3%
다 974
 
1.3%
지 968
 
1.3%
하 918
 
1.2%
Other values (1149) 60998
82.5%
Lowercase Letter
ValueCountFrequency (%)
e 1457
13.1%
a 967
 
8.7%
t 905
 
8.1%
o 878
 
7.9%
n 833
 
7.5%
i 791
 
7.1%
r 721
 
6.5%
s 709
 
6.4%
h 523
 
4.7%
l 495
 
4.4%
Other values (28) 2856
25.6%
Uppercase Letter
ValueCountFrequency (%)
T 183
 
11.7%
S 153
 
9.8%
B 114
 
7.3%
M 97
 
6.2%
C 86
 
5.5%
A 77
 
4.9%
F 70
 
4.5%
J 69
 
4.4%
N 67
 
4.3%
P 65
 
4.2%
Other values (20) 582
37.2%
Other Punctuation
ValueCountFrequency (%)
: 2491
54.8%
, 979
 
21.6%
. 527
 
11.6%
! 295
 
6.5%
' 119
 
2.6%
· 83
 
1.8%
＆ 12
 
0.3%
" 8
 
0.2%
& 7
 
0.2%
％ 6
 
0.1%
Other values (8) 15
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 581
27.4%
0 416
19.6%
2 348
16.4%
3 187
 
8.8%
5 132
 
6.2%
9 117
 
5.5%
4 117
 
5.5%
6 87
 
4.1%
8 86
 
4.1%
7 49
 
2.3%
Math Symbol
ValueCountFrequency (%)
= 201
85.5%
~ 21
 
8.9%
+ 7
 
3.0%
｜ 3
 
1.3%
× 1
 
0.4%
< 1
 
0.4%
> 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 618
90.5%
[ 61
 
8.9%
『 3
 
0.4%
《 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 618
90.5%
] 61
 
8.9%
』 3
 
0.4%
》 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
│ 2
66.7%
★ 1
33.3%
Final Punctuation
ValueCountFrequency (%)
” 1
50.0%
’ 1
50.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅸ 1
50.0%
Space Separator
ValueCountFrequency (%)
26660
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73899
60.7%
Common 35042
28.8%
Latin 12671
 
10.4%
Han 48
 
< 0.1%
Cyrillic 29
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2162
 
2.9%
이 2077
 
2.8%
는 1625
 
2.2%
기 1106
 
1.5%
가 1094
 
1.5%
한 1041
 
1.4%
사 984
 
1.3%
다 974
 
1.3%
지 968
 
1.3%
하 918
 
1.2%
Other values (1129) 60950
82.5%
Latin
ValueCountFrequency (%)
e 1457
 
11.5%
a 967
 
7.6%
t 905
 
7.1%
o 878
 
6.9%
n 833
 
6.6%
i 791
 
6.2%
r 721
 
5.7%
s 709
 
5.6%
h 523
 
4.1%
l 495
 
3.9%
Other values (44) 4392
34.7%
Common
ValueCountFrequency (%)
26660
76.1%
: 2491
 
7.1%
, 979
 
2.8%
( 618
 
1.8%
) 618
 
1.8%
1 581
 
1.7%
. 527
 
1.5%
0 416
 
1.2%
2 348
 
1.0%
! 295
 
0.8%
Other values (42) 1509
 
4.3%
Han
ValueCountFrequency (%)
大 9
18.8%
望 9
18.8%
性 3
 
6.2%
京 3
 
6.2%
城 3
 
6.2%
探 3
 
6.2%
偵 3
 
6.2%
書 2
 
4.2%
名 2
 
4.2%
王 1
 
2.1%
Other values (10) 10
20.8%
Cyrillic
ValueCountFrequency (%)
р 4
13.8%
н 3
10.3%
о 3
10.3%
е 3
10.3%
П 2
 
6.9%
а 2
 
6.9%
к 2
 
6.9%
И 2
 
6.9%
я 1
 
3.4%
л 1
 
3.4%
Other values (6) 6
20.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73885
60.7%
ASCII 47585
39.1%
None 118
 
0.1%
CJK 48
 
< 0.1%
Cyrillic 29
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Punctuation 5
 
< 0.1%
Box Drawing 2
 
< 0.1%
Number Forms 2
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26660
56.0%
: 2491
 
5.2%
e 1457
 
3.1%
, 979
 
2.1%
a 967
 
2.0%
t 905
 
1.9%
o 878
 
1.8%
n 833
 
1.8%
i 791
 
1.7%
r 721
 
1.5%
Other values (76) 10903
22.9%
Hangul
ValueCountFrequency (%)
의 2162
 
2.9%
이 2077
 
2.8%
는 1625
 
2.2%
기 1106
 
1.5%
가 1094
 
1.5%
한 1041
 
1.4%
사 984
 
1.3%
다 974
 
1.3%
지 968
 
1.3%
하 918
 
1.2%
Other values (1125) 60936
82.5%
None
ValueCountFrequency (%)
· 83
70.3%
＆ 12
 
10.2%
％ 6
 
5.1%
｜ 3
 
2.5%
！ 3
 
2.5%
』 3
 
2.5%
『 3
 
2.5%
／ 1
 
0.8%
× 1
 
0.8%
＇ 1
 
0.8%
Other values (2) 2
 
1.7%
CJK
ValueCountFrequency (%)
大 9
18.8%
望 9
18.8%
性 3
 
6.2%
京 3
 
6.2%
城 3
 
6.2%
探 3
 
6.2%
偵 3
 
6.2%
書 2
 
4.2%
名 2
 
4.2%
王 1
 
2.1%
Other values (10) 10
20.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
35.7%
ㄱ 3
21.4%
ㄴ 3
21.4%
ㄷ 3
21.4%
Cyrillic
ValueCountFrequency (%)
р 4
13.8%
н 3
10.3%
о 3
10.3%
е 3
10.3%
П 2
 
6.9%
а 2
 
6.9%
к 2
 
6.9%
И 2
 
6.9%
я 1
 
3.4%
л 1
 
3.4%
Other values (6) 6
20.7%
Box Drawing
ValueCountFrequency (%)
│ 2
100.0%
Punctuation
ValueCountFrequency (%)
… 2
40.0%
” 1
20.0%
“ 1
20.0%
’ 1
20.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅸ 1
50.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저작자
Text

Distinct4188
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-11T01:14:02.291142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length87
Mean length16.037825
Min length3

Characters and Unicode

Total characters81408
Distinct characters846
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3580 ?
Unique (%)70.5%

Sample

1st rowby Sunny Scribens ; illustrated by Barbara Vagnozzi
2nd rowby Mathew Price,illustrated by Atsuko Morozumi
3rd rowby Kate DePalma ; illustrated by Martina Peluso
4th rowby Leo Lionni
5th rowby Kwame Alexander ; illustrated by Kadir Nelson ; illustrated by Kadir Nelson
ValueCountFrequency (%)
지음 3098
 
13.7%
3094
 
13.6%
옮김 1298
 
5.7%
그림 1129
 
5.0%
글 856
 
3.8%
by 569
 
2.5%
글·그림 217
 
1.0%
illustrated 185
 
0.8%
공]지음 133
 
0.6%
외 96
 
0.4%
Other values (6979) 12017
53.0%
2023-12-11T01:14:03.367680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17624
21.6%
지 3766
 
4.6%
음 3351
 
4.1%
; 3085
 
3.8%
김 2556
 
3.1%
이 1630
 
2.0%
그 1469
 
1.8%
림 1444
 
1.8%
옮 1347
 
1.7%
a 1209
 
1.5%
Other values (836) 43927
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45561
56.0%
Space Separator 17624
 
21.6%
Lowercase Letter 11168
 
13.7%
Other Punctuation 4543
 
5.6%
Uppercase Letter 1787
 
2.2%
Open Punctuation 337
 
0.4%
Close Punctuation 337
 
0.4%
Decimal Number 26
 
< 0.1%
Dash Punctuation 19
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3766
 
8.3%
음 3351
 
7.4%
김 2556
 
5.6%
이 1630
 
3.6%
그 1469
 
3.2%
림 1444
 
3.2%
옮 1347
 
3.0%
글 1186
 
2.6%
정 743
 
1.6%
스 640
 
1.4%
Other values (754) 27429
60.2%
Lowercase Letter
ValueCountFrequency (%)
a 1209
10.8%
e 1157
10.4%
r 962
 
8.6%
t 863
 
7.7%
y 805
 
7.2%
i 799
 
7.2%
l 781
 
7.0%
n 773
 
6.9%
b 685
 
6.1%
s 564
 
5.1%
Other values (17) 2570
23.0%
Uppercase Letter
ValueCountFrequency (%)
S 220
12.3%
M 207
11.6%
J 142
 
7.9%
B 138
 
7.7%
R 117
 
6.5%
P 109
 
6.1%
D 96
 
5.4%
C 92
 
5.1%
A 79
 
4.4%
H 72
 
4.0%
Other values (16) 515
28.8%
Decimal Number
ValueCountFrequency (%)
2 9
34.6%
1 6
23.1%
0 4
15.4%
5 2
 
7.7%
7 1
 
3.8%
8 1
 
3.8%
4 1
 
3.8%
9 1
 
3.8%
6 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
; 3085
67.9%
, 717
 
15.8%
· 267
 
5.9%
. 232
 
5.1%
: 232
 
5.1%
& 7
 
0.2%
＆ 2
 
< 0.1%
! 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 323
95.8%
( 9
 
2.7%
〈 4
 
1.2%
『 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
] 323
95.8%
) 9
 
2.7%
〉 4
 
1.2%
』 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
< 3
50.0%
Space Separator
ValueCountFrequency (%)
17624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45554
56.0%
Common 22892
28.1%
Latin 12955
 
15.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3766
 
8.3%
음 3351
 
7.4%
김 2556
 
5.6%
이 1630
 
3.6%
그 1469
 
3.2%
림 1444
 
3.2%
옮 1347
 
3.0%
글 1186
 
2.6%
정 743
 
1.6%
스 640
 
1.4%
Other values (750) 27422
60.2%
Latin
ValueCountFrequency (%)
a 1209
 
9.3%
e 1157
 
8.9%
r 962
 
7.4%
t 863
 
6.7%
y 805
 
6.2%
i 799
 
6.2%
l 781
 
6.0%
n 773
 
6.0%
b 685
 
5.3%
s 564
 
4.4%
Other values (43) 4357
33.6%
Common
ValueCountFrequency (%)
17624
77.0%
; 3085
 
13.5%
, 717
 
3.1%
[ 323
 
1.4%
] 323
 
1.4%
· 267
 
1.2%
. 232
 
1.0%
: 232
 
1.0%
- 19
 
0.1%
2 9
 
< 0.1%
Other values (19) 61
 
0.3%
Han
ValueCountFrequency (%)
政 2
28.6%
眞 2
28.6%
著 2
28.6%
共 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45554
56.0%
ASCII 35567
43.7%
None 280
 
0.3%
CJK 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17624
49.6%
; 3085
 
8.7%
a 1209
 
3.4%
e 1157
 
3.3%
r 962
 
2.7%
t 863
 
2.4%
y 805
 
2.3%
i 799
 
2.2%
l 781
 
2.2%
n 773
 
2.2%
Other values (65) 7509
21.1%
Hangul
ValueCountFrequency (%)
지 3766
 
8.3%
음 3351
 
7.4%
김 2556
 
5.6%
이 1630
 
3.6%
그 1469
 
3.2%
림 1444
 
3.2%
옮 1347
 
3.0%
글 1186
 
2.6%
정 743
 
1.6%
스 640
 
1.4%
Other values (750) 27422
60.2%
None
ValueCountFrequency (%)
· 267
95.4%
〉 4
 
1.4%
〈 4
 
1.4%
＆ 2
 
0.7%
』 1
 
0.4%
『 1
 
0.4%
ø 1
 
0.4%
CJK
ValueCountFrequency (%)
政 2
28.6%
眞 2
28.6%
著 2
28.6%
共 1
14.3%

발행자
Text

Distinct1785
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size39.8 KiB
2023-12-11T01:14:03.801532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length35
Mean length5.8270292
Min length1

Characters and Unicode

Total characters29578
Distinct characters666
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique929 ?
Unique (%)18.3%

Sample

1st rowBarefoot Books
2nd rowMathew Price
3rd rowBarefoot Books
4th rowDragonfly Books
5th rowAndersen Press Ltd
ValueCountFrequency (%)
books 111
 
1.9%
random 94
 
1.6%
창비 84
 
1.5%
문학동네 72
 
1.3%
house 68
 
1.2%
위즈덤하우스 65
 
1.1%
김영사 46
 
0.8%
press 42
 
0.7%
길벗 41
 
0.7%
민음사 41
 
0.7%
Other values (1810) 5079
88.4%
2023-12-11T01:14:04.653245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 930
 
3.1%
o 829
 
2.8%
북 718
 
2.4%
668
 
2.3%
사 659
 
2.2%
이 640
 
2.2%
e 574
 
1.9%
s 568
 
1.9%
: 515
 
1.7%
r 492
 
1.7%
Other values (656) 22985
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21028
71.1%
Lowercase Letter 5664
 
19.1%
Uppercase Letter 1332
 
4.5%
Space Separator 668
 
2.3%
Other Punctuation 622
 
2.1%
Open Punctuation 98
 
0.3%
Close Punctuation 98
 
0.3%
Decimal Number 67
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 930
 
4.4%
북 718
 
3.4%
사 659
 
3.1%
이 640
 
3.0%
어 436
 
2.1%
아 367
 
1.7%
문 335
 
1.6%
비 329
 
1.6%
미 297
 
1.4%
리 277
 
1.3%
Other values (584) 16040
76.3%
Lowercase Letter
ValueCountFrequency (%)
o 829
14.6%
e 574
10.1%
s 568
10.0%
r 492
8.7%
a 444
 
7.8%
n 436
 
7.7%
i 326
 
5.8%
d 304
 
5.4%
l 288
 
5.1%
k 234
 
4.1%
Other values (16) 1169
20.6%
Uppercase Letter
ValueCountFrequency (%)
B 242
18.2%
H 175
13.1%
R 146
11.0%
C 98
 
7.4%
P 98
 
7.4%
S 71
 
5.3%
L 69
 
5.2%
W 56
 
4.2%
F 55
 
4.1%
A 50
 
3.8%
Other values (15) 272
20.4%
Other Punctuation
ValueCountFrequency (%)
: 515
82.8%
' 40
 
6.4%
& 22
 
3.5%
# 14
 
2.3%
＆ 10
 
1.6%
, 10
 
1.6%
· 7
 
1.1%
. 3
 
0.5%
： 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 30
44.8%
1 26
38.8%
4 5
 
7.5%
8 3
 
4.5%
5 2
 
3.0%
9 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 72
73.5%
[ 26
 
26.5%
Close Punctuation
ValueCountFrequency (%)
) 72
73.5%
] 26
 
26.5%
Space Separator
ValueCountFrequency (%)
668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21015
71.0%
Latin 6996
 
23.7%
Common 1554
 
5.3%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 930
 
4.4%
북 718
 
3.4%
사 659
 
3.1%
이 640
 
3.0%
어 436
 
2.1%
아 367
 
1.7%
문 335
 
1.6%
비 329
 
1.6%
미 297
 
1.4%
리 277
 
1.3%
Other values (578) 16027
76.3%
Latin
ValueCountFrequency (%)
o 829
 
11.8%
e 574
 
8.2%
s 568
 
8.1%
r 492
 
7.0%
a 444
 
6.3%
n 436
 
6.2%
i 326
 
4.7%
d 304
 
4.3%
l 288
 
4.1%
B 242
 
3.5%
Other values (41) 2493
35.6%
Common
ValueCountFrequency (%)
668
43.0%
: 515
33.1%
( 72
 
4.6%
) 72
 
4.6%
' 40
 
2.6%
2 30
 
1.9%
[ 26
 
1.7%
1 26
 
1.7%
] 26
 
1.7%
& 22
 
1.4%
Other values (11) 57
 
3.7%
Han
ValueCountFrequency (%)
詩 3
23.1%
閣 2
15.4%
人 2
15.4%
玄 2
15.4%
文 2
15.4%
光 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21008
71.0%
ASCII 8532
28.8%
None 18
 
0.1%
CJK 13
 
< 0.1%
Compat Jamo 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 930
 
4.4%
북 718
 
3.4%
사 659
 
3.1%
이 640
 
3.0%
어 436
 
2.1%
아 367
 
1.7%
문 335
 
1.6%
비 329
 
1.6%
미 297
 
1.4%
리 277
 
1.3%
Other values (573) 16020
76.3%
ASCII
ValueCountFrequency (%)
o 829
 
9.7%
668
 
7.8%
e 574
 
6.7%
s 568
 
6.7%
: 515
 
6.0%
r 492
 
5.8%
a 444
 
5.2%
n 436
 
5.1%
i 326
 
3.8%
d 304
 
3.6%
Other values (59) 3376
39.6%
None
ValueCountFrequency (%)
＆ 10
55.6%
· 7
38.9%
： 1
 
5.6%
CJK
ValueCountFrequency (%)
詩 3
23.1%
閣 2
15.4%
人 2
15.4%
玄 2
15.4%
文 2
15.4%
光 2
15.4%
Compat Jamo
ValueCountFrequency (%)
ㅁ 3
42.9%
ㅇ 1
 
14.3%
ㅂ 1
 
14.3%
ㄴ 1
 
14.3%
ㅅ 1
 
14.3%

발행년
Real number (ℝ)

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.2122
Minimum1989
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T01:14:05.026406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1989
5-th percentile2015
Q12020
median2020
Q32020
95-th percentile2020
Maximum2021
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6591042
Coefficient of variation (CV)0.0013169018
Kurtosis32.844335
Mean2019.2122
Median Absolute Deviation (MAD)0
Skewness-5.0611837
Sum10249521
Variance7.070835
MonotonicityNot monotonic
2023-12-11T01:14:05.387319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2020 4048
79.7%
2019 202
 
4.0%
2021 158
 
3.1%
2018 131
 
2.6%
2015 114
 
2.2%
2017 114
 
2.2%
2016 80
 
1.6%
2013 44
 
0.9%
2014 42
 
0.8%
2011 24
 
0.5%
Other values (21) 119
 
2.3%
ValueCountFrequency (%)
1989 1
 
< 0.1%
1992 1
 
< 0.1%
1993 2
 
< 0.1%
1994 1
 
< 0.1%
1995 1
 
< 0.1%
1996 3
0.1%
1997 3
0.1%
1998 4
0.1%
1999 2
 
< 0.1%
2000 6
0.1%
ValueCountFrequency (%)
2021 158
 
3.1%
2020 4048
79.7%
2019 202
 
4.0%
2018 131
 
2.6%
2017 114
 
2.2%
2016 80
 
1.6%
2015 114
 
2.2%
2014 42
 
0.8%
2013 44
 
0.9%
2012 22
 
0.4%

가격
Real number (ℝ)

Distinct136
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15201.16
Minimum0
Maximum68000
Zeros42
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size44.7 KiB
2023-12-11T01:14:05.775884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9800
Q112000
median14200
Q316800
95-th percentile25175
Maximum68000
Range68000
Interquartile range (IQR)4800

Descriptive statistics

Standard deviation5425.2703
Coefficient of variation (CV)0.35689843
Kurtosis14.366934
Mean15201.16
Median Absolute Deviation (MAD)2200
Skewness2.5506568
Sum77161090
Variance29433558
MonotonicityNot monotonic
2023-12-11T01:14:06.139077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13000 553
 
10.9%
12000 532
 
10.5%
15000 489
 
9.6%
16000 359
 
7.1%
14000 285
 
5.6%
11000 255
 
5.0%
18000 231
 
4.6%
10000 192
 
3.8%
17000 138
 
2.7%
13800 111
 
2.2%
Other values (126) 1931
38.0%
ValueCountFrequency (%)
0 42
0.8%
3500 2
 
< 0.1%
3600 1
 
< 0.1%
4500 1
 
< 0.1%
4800 1
 
< 0.1%
6000 1
 
< 0.1%
6500 12
 
0.2%
6800 7
 
0.1%
7000 3
 
0.1%
7500 12
 
0.2%
ValueCountFrequency (%)
68000 2
 
< 0.1%
65000 1
 
< 0.1%
60000 4
0.1%
55000 4
0.1%
50000 2
 
< 0.1%
48000 1
 
< 0.1%
47000 1
 
< 0.1%
44000 1
 
< 0.1%
43000 1
 
< 0.1%
40000 5
0.1%

Interactions

2023-12-11T01:13:59.175295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.035861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.586029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.396878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.175653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.740067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.594866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.367376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.946432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:14:06.304494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년가격
연번1.0000.5480.430
발행년0.5481.0000.292
가격0.4300.2921.000
2023-12-11T01:14:06.465434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년가격
연번1.0000.368-0.088
발행년0.3681.000-0.090
가격-0.088-0.0901.000

Missing values

2023-12-11T01:13:59.814028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:00.001996image/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

연번서명저작자발행자발행년가격
01Five Little Mermaidsby Sunny Scribens ; illustrated by Barbara VagnozziBarefoot Books202013000
12Knock! Knock! Knockby Mathew Price,illustrated by Atsuko MorozumiMathew Price201812000
23Let's Celebrate! : Special Days Around The Worldby Kate DePalma ; illustrated by Martina PelusoBarefoot Books201913000
34Let's Make Rabbitsby Leo LionniDragonfly Books200212000
45(The) undefeatedby Kwame Alexander ; illustrated by Kadir Nelson ; illustrated by Kadir NelsonAndersen Press Ltd201923840
56Pete the cat and the bedtime bluesby Kimberly Dean ; illustrated by James DeanHarper, an imprint of HarperCollins Publishers201526980
67Pete the cat and the cool cat boogieby Kimberly Dean ; illustrated by James DeanHarper, an imprint of HarperCollins Publishers201526980
78Pete the Cat and the Missing Cupcakesby Kimberly Dean ; iliustrated by James DeanHarperFestival201626980
89Pete the cat and the new guyby Kimberly Dean ; illustrated by James DeanHarper201426980
910Pete the cat Five little ducksby James DeanHarperFestival201722400
연번서명저작자발행자발행년가격
50665067나에게 우체국 하나 있네하청호 지음 ; 윤대라 그림상상202012000
50675068비밀 소원 : 김다노 동화김다노 지음 ; 이윤희 그림사계절202012000
50685069필이윤주 지음 ; 이종미 그림고래가숨쉬는도서관202012000
50695070겨드랑이가 간지러워송방순 글 ; 노준구 그림논장202011000
50705071이상하지도 아프지도 않은 아이 : 귀를 기울이면 장애인권 이야기김예원 글 ; 정진희 그림우리학교202012000
50715072공룡 친구 꼬미김혜정 지음 ; 최미란 그림문학과지성사202011000
50725073황금 글똥의 비밀김미형 글 ; 김기린 그림바람의아이들202011000
50735074우리가 만난 시간 : 이은용 장편소설이은용 지음문학과지성사202011000
50745075착한 아이 백천수 씨 : 손서은 장편소설손서은 지음자음과모음202013000
50755076포기를 모르는 잠수함 : 김학중 시집김학중 지음창비20208500