Overview

Dataset statistics

Number of variables8
Number of observations231
Missing cells344
Missing cells (%)18.6%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory15.0 KiB
Average record size in memory66.6 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description부산광역시 연제구 연제도서관에 입수 및 배가된 신착도서의 현황(등록번호, 서명, 저작자, 출판사, 청구기호 등)을 제공합니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15048048/fileData.do

Alerts

배가일 has constant value ""Constant
Dataset has 1 (0.4%) duplicate rowsDuplicates
번호 has 43 (18.6%) missing valuesMissing
등록번호 has 43 (18.6%) missing valuesMissing
서명 has 43 (18.6%) missing valuesMissing
저자 has 43 (18.6%) missing valuesMissing
출판사 has 43 (18.6%) missing valuesMissing
발행년 has 43 (18.6%) missing valuesMissing
청구기호 has 43 (18.6%) missing valuesMissing
배가일 has 43 (18.6%) missing valuesMissing

Reproduction

Analysis started2024-03-14 18:43:09.926027
Analysis finished2024-03-14 18:43:13.042939
Duration3.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)100.0%
Missing43
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean94.5
Minimum1
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-15T03:43:13.174730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.35
Q147.75
median94.5
Q3141.25
95-th percentile178.65
Maximum188
Range187
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation54.415071
Coefficient of variation (CV)0.57582086
Kurtosis-1.2
Mean94.5
Median Absolute Deviation (MAD)47
Skewness0
Sum17766
Variance2961
MonotonicityStrictly increasing
2024-03-15T03:43:13.433578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131 1
 
0.4%
122 1
 
0.4%
123 1
 
0.4%
124 1
 
0.4%
125 1
 
0.4%
126 1
 
0.4%
127 1
 
0.4%
128 1
 
0.4%
129 1
 
0.4%
130 1
 
0.4%
Other values (178) 178
77.1%
(Missing) 43
 
18.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
188 1
0.4%
187 1
0.4%
186 1
0.4%
185 1
0.4%
184 1
0.4%
183 1
0.4%
182 1
0.4%
181 1
0.4%
180 1
0.4%
179 1
0.4%

등록번호
Text

MISSING 

Distinct188
Distinct (%)100.0%
Missing43
Missing (%)18.6%
Memory size1.9 KiB
2024-03-15T03:43:14.401373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2256
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)100.0%

Sample

1st rowABN000163774
2nd rowABN000163775
3rd rowABN000163776
4th rowABN000163777
5th rowABN000163778
ValueCountFrequency (%)
abn000163786 1
 
0.5%
abn000163893 1
 
0.5%
abn000163895 1
 
0.5%
abn000163896 1
 
0.5%
abn000163897 1
 
0.5%
abn000163898 1
 
0.5%
abn000163899 1
 
0.5%
abn000163900 1
 
0.5%
abn000163901 1
 
0.5%
abn000163902 1
 
0.5%
Other values (178) 178
94.7%
2024-03-15T03:43:15.751256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 603
26.7%
1 227
 
10.1%
3 226
 
10.0%
6 219
 
9.7%
A 188
 
8.3%
B 188
 
8.3%
N 188
 
8.3%
8 139
 
6.2%
9 101
 
4.5%
7 61
 
2.7%
Other values (3) 116
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1692
75.0%
Uppercase Letter 564
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 603
35.6%
1 227
 
13.4%
3 226
 
13.4%
6 219
 
12.9%
8 139
 
8.2%
9 101
 
6.0%
7 61
 
3.6%
4 39
 
2.3%
5 39
 
2.3%
2 38
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
A 188
33.3%
B 188
33.3%
N 188
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1692
75.0%
Latin 564
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 603
35.6%
1 227
 
13.4%
3 226
 
13.4%
6 219
 
12.9%
8 139
 
8.2%
9 101
 
6.0%
7 61
 
3.6%
4 39
 
2.3%
5 39
 
2.3%
2 38
 
2.2%
Latin
ValueCountFrequency (%)
A 188
33.3%
B 188
33.3%
N 188
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 603
26.7%
1 227
 
10.1%
3 226
 
10.0%
6 219
 
9.7%
A 188
 
8.3%
B 188
 
8.3%
N 188
 
8.3%
8 139
 
6.2%
9 101
 
4.5%
7 61
 
2.7%
Other values (3) 116
 
5.1%

서명
Text

MISSING 

Distinct188
Distinct (%)100.0%
Missing43
Missing (%)18.6%
Memory size1.9 KiB
2024-03-15T03:43:17.303008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length41.5
Mean length24.574468
Min length1

Characters and Unicode

Total characters4620
Distinct characters570
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)100.0%

Sample

1st row(내면의 성장을 넘어 경제적 부까지 이뤄준)10억짜리 독서법
2nd rowChatGPT로 파이썬 코딩하기
3rd rowGPT-4를 활용한 인공지능 앱 개발 : 오픈AI API와 최신 GPT 모델로 창의적 앱 구축하기
4th row뇌신경 의사, 책을 읽다 : 한 시간 한 권 크랩 독서법
5th row나는 아직 내가 낯설다 : 자신을 알아가고 사랑하기 위한 52가지 심리 여행
ValueCountFrequency (%)
82
 
6.7%
2 16
 
1.3%
1 16
 
1.3%
이야기 10
 
0.8%
한 7
 
0.6%
장편소설 7
 
0.6%
도서관 7
 
0.6%
세계 6
 
0.5%
간니닌니)마법의 6
 
0.5%
비밀 5
 
0.4%
Other values (914) 1069
86.8%
2024-03-15T03:43:19.228285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1043
 
22.6%
의 101
 
2.2%
이 89
 
1.9%
: 84
 
1.8%
는 64
 
1.4%
. 62
 
1.3%
한 53
 
1.1%
, 52
 
1.1%
만 42
 
0.9%
기 41
 
0.9%
Other values (560) 2989
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3091
66.9%
Space Separator 1043
 
22.6%
Other Punctuation 212
 
4.6%
Decimal Number 148
 
3.2%
Close Punctuation 46
 
1.0%
Open Punctuation 46
 
1.0%
Uppercase Letter 22
 
0.5%
Lowercase Letter 9
 
0.2%
Dash Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 101
 
3.3%
이 89
 
2.9%
는 64
 
2.1%
한 53
 
1.7%
만 42
 
1.4%
기 41
 
1.3%
하 39
 
1.3%
지 38
 
1.2%
화 35
 
1.1%
인 35
 
1.1%
Other values (521) 2554
82.6%
Decimal Number
ValueCountFrequency (%)
1 38
25.7%
0 32
21.6%
2 29
19.6%
3 13
 
8.8%
5 11
 
7.4%
4 11
 
7.4%
8 5
 
3.4%
9 4
 
2.7%
6 3
 
2.0%
7 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 84
39.6%
. 62
29.2%
, 52
24.5%
! 5
 
2.4%
' 4
 
1.9%
· 2
 
0.9%
% 2
 
0.9%
? 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 4
18.2%
T 3
13.6%
G 3
13.6%
O 3
13.6%
A 3
13.6%
I 3
13.6%
X 2
9.1%
C 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
n 3
33.3%
e 3
33.3%
t 1
 
11.1%
a 1
 
11.1%
h 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
] 24
52.2%
) 22
47.8%
Open Punctuation
ValueCountFrequency (%)
[ 24
52.2%
( 22
47.8%
Space Separator
ValueCountFrequency (%)
1043
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3087
66.8%
Common 1498
32.4%
Latin 31
 
0.7%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 101
 
3.3%
이 89
 
2.9%
는 64
 
2.1%
한 53
 
1.7%
만 42
 
1.4%
기 41
 
1.3%
하 39
 
1.3%
지 38
 
1.2%
화 35
 
1.1%
인 35
 
1.1%
Other values (518) 2550
82.6%
Common
ValueCountFrequency (%)
1043
69.6%
: 84
 
5.6%
. 62
 
4.1%
, 52
 
3.5%
1 38
 
2.5%
0 32
 
2.1%
2 29
 
1.9%
] 24
 
1.6%
[ 24
 
1.6%
( 22
 
1.5%
Other values (16) 88
 
5.9%
Latin
ValueCountFrequency (%)
P 4
12.9%
T 3
9.7%
G 3
9.7%
O 3
9.7%
n 3
9.7%
e 3
9.7%
A 3
9.7%
I 3
9.7%
X 2
6.5%
t 1
 
3.2%
Other values (3) 3
9.7%
Han
ValueCountFrequency (%)
夜 2
50.0%
檢 1
25.0%
花 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3084
66.8%
ASCII 1525
33.0%
CJK 4
 
0.1%
Compat Jamo 3
 
0.1%
None 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1043
68.4%
: 84
 
5.5%
. 62
 
4.1%
, 52
 
3.4%
1 38
 
2.5%
0 32
 
2.1%
2 29
 
1.9%
] 24
 
1.6%
[ 24
 
1.6%
( 22
 
1.4%
Other values (26) 115
 
7.5%
Hangul
ValueCountFrequency (%)
의 101
 
3.3%
이 89
 
2.9%
는 64
 
2.1%
한 53
 
1.7%
만 42
 
1.4%
기 41
 
1.3%
하 39
 
1.3%
지 38
 
1.2%
화 35
 
1.1%
인 35
 
1.1%
Other values (516) 2547
82.6%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
66.7%
ㅇ 1
33.3%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
夜 2
50.0%
檢 1
25.0%
花 1
25.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

저자
Text

MISSING 

Distinct168
Distinct (%)89.4%
Missing43
Missing (%)18.6%
Memory size1.9 KiB
2024-03-15T03:43:20.830765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length36
Mean length14.303191
Min length5

Characters and Unicode

Total characters2689
Distinct characters330
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

Unique156 ?
Unique (%)83.0%

Sample

1st row손승욱 지음
2nd row조익현,배용빈 지음
3rd row올리비에 케일린,마리-알리스 블레트 [공]지음 ; 이일섭 옮김
4th row신동선 지음
5th row다장쥔궈 지음 ; 박영란 옮김
ValueCountFrequency (%)
125
 
15.1%
지음 112
 
13.6%
그림 49
 
5.9%
옮김 43
 
5.2%
글 43
 
5.2%
원작 20
 
2.4%
공]지음 8
 
1.0%
이경희 7
 
0.8%
글·그림 7
 
0.8%
지유리 6
 
0.7%
Other values (344) 406
49.2%
2024-03-15T03:43:22.890104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
638
23.7%
지 142
 
5.3%
음 125
 
4.6%
; 125
 
4.6%
김 79
 
2.9%
이 67
 
2.5%
그 60
 
2.2%
림 59
 
2.2%
글 52
 
1.9%
옮 44
 
1.6%
Other values (320) 1298
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1792
66.6%
Space Separator 638
 
23.7%
Other Punctuation 154
 
5.7%
Lowercase Letter 39
 
1.5%
Uppercase Letter 23
 
0.9%
Open Punctuation 19
 
0.7%
Close Punctuation 19
 
0.7%
Decimal Number 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 142
 
7.9%
음 125
 
7.0%
김 79
 
4.4%
이 67
 
3.7%
그 60
 
3.3%
림 59
 
3.3%
글 52
 
2.9%
옮 44
 
2.5%
리 28
 
1.6%
원 27
 
1.5%
Other values (281) 1109
61.9%
Lowercase Letter
ValueCountFrequency (%)
i 9
23.1%
o 6
15.4%
a 5
12.8%
t 3
 
7.7%
n 3
 
7.7%
d 2
 
5.1%
u 2
 
5.1%
k 2
 
5.1%
z 2
 
5.1%
m 2
 
5.1%
Other values (3) 3
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 5
21.7%
A 2
 
8.7%
V 2
 
8.7%
T 2
 
8.7%
B 2
 
8.7%
J 2
 
8.7%
M 2
 
8.7%
N 1
 
4.3%
E 1
 
4.3%
C 1
 
4.3%
Other values (3) 3
13.0%
Other Punctuation
ValueCountFrequency (%)
; 125
81.2%
, 19
 
12.3%
· 8
 
5.2%
. 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
2 1
33.3%
3 1
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 18
94.7%
( 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
] 18
94.7%
) 1
 
5.3%
Space Separator
ValueCountFrequency (%)
638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1792
66.6%
Common 835
31.1%
Latin 62
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 142
 
7.9%
음 125
 
7.0%
김 79
 
4.4%
이 67
 
3.7%
그 60
 
3.3%
림 59
 
3.3%
글 52
 
2.9%
옮 44
 
2.5%
리 28
 
1.6%
원 27
 
1.5%
Other values (281) 1109
61.9%
Latin
ValueCountFrequency (%)
i 9
 
14.5%
o 6
 
9.7%
a 5
 
8.1%
S 5
 
8.1%
t 3
 
4.8%
n 3
 
4.8%
d 2
 
3.2%
A 2
 
3.2%
V 2
 
3.2%
u 2
 
3.2%
Other values (16) 23
37.1%
Common
ValueCountFrequency (%)
638
76.4%
; 125
 
15.0%
, 19
 
2.3%
[ 18
 
2.2%
] 18
 
2.2%
· 8
 
1.0%
. 2
 
0.2%
- 2
 
0.2%
9 1
 
0.1%
2 1
 
0.1%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1792
66.6%
ASCII 889
33.1%
None 8
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
638
71.8%
; 125
 
14.1%
, 19
 
2.1%
[ 18
 
2.0%
] 18
 
2.0%
i 9
 
1.0%
o 6
 
0.7%
a 5
 
0.6%
S 5
 
0.6%
t 3
 
0.3%
Other values (28) 43
 
4.8%
Hangul
ValueCountFrequency (%)
지 142
 
7.9%
음 125
 
7.0%
김 79
 
4.4%
이 67
 
3.7%
그 60
 
3.3%
림 59
 
3.3%
글 52
 
2.9%
옮 44
 
2.5%
리 28
 
1.6%
원 27
 
1.5%
Other values (281) 1109
61.9%
None
ValueCountFrequency (%)
· 8
100.0%

출판사
Text

MISSING 

Distinct131
Distinct (%)69.7%
Missing43
Missing (%)18.6%
Memory size1.9 KiB
2024-03-15T03:43:24.092139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length4.4946809
Min length1

Characters and Unicode

Total characters845
Distinct characters230
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)58.0%

Sample

1st row위즈덤하우스
2nd row코딩이지
3rd row한빛미디어
4th row더메이커
5th row파인북
ValueCountFrequency (%)
서울문화사 12
 
6.2%
아울북 8
 
4.1%
주니어김영사 6
 
3.1%
문학동네 5
 
2.6%
위즈덤하우스 5
 
2.6%
아이세움 5
 
2.6%
송송책방 4
 
2.1%
민음사 4
 
2.1%
레모 3
 
1.5%
대원키즈 3
 
1.5%
Other values (126) 140
71.8%
2024-03-15T03:43:25.729939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 29
 
3.4%
사 29
 
3.4%
북 29
 
3.4%
이 24
 
2.8%
어 24
 
2.8%
문 21
 
2.5%
울 20
 
2.4%
아 18
 
2.1%
서 14
 
1.7%
화 14
 
1.7%
Other values (220) 623
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
90.8%
Lowercase Letter 41
 
4.9%
Uppercase Letter 16
 
1.9%
Decimal Number 11
 
1.3%
Space Separator 7
 
0.8%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 29
 
3.8%
사 29
 
3.8%
북 29
 
3.8%
이 24
 
3.1%
어 24
 
3.1%
문 21
 
2.7%
울 20
 
2.6%
아 18
 
2.3%
서 14
 
1.8%
화 14
 
1.8%
Other values (184) 545
71.1%
Lowercase Letter
ValueCountFrequency (%)
o 8
19.5%
t 4
9.8%
n 4
9.8%
i 3
 
7.3%
e 3
 
7.3%
g 3
 
7.3%
a 2
 
4.9%
r 2
 
4.9%
b 2
 
4.9%
m 2
 
4.9%
Other values (6) 8
19.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
18.8%
C 3
18.8%
Y 2
12.5%
M 2
12.5%
P 1
 
6.2%
S 1
 
6.2%
N 1
 
6.2%
D 1
 
6.2%
W 1
 
6.2%
R 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
2 2
 
18.2%
9 1
 
9.1%
8 1
 
9.1%
4 1
 
9.1%
6 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
# 1
33.3%
% 1
33.3%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
90.8%
Latin 57
 
6.7%
Common 21
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 29
 
3.8%
사 29
 
3.8%
북 29
 
3.8%
이 24
 
3.1%
어 24
 
3.1%
문 21
 
2.7%
울 20
 
2.6%
아 18
 
2.3%
서 14
 
1.8%
화 14
 
1.8%
Other values (184) 545
71.1%
Latin
ValueCountFrequency (%)
o 8
 
14.0%
t 4
 
7.0%
n 4
 
7.0%
B 3
 
5.3%
i 3
 
5.3%
e 3
 
5.3%
C 3
 
5.3%
g 3
 
5.3%
a 2
 
3.5%
r 2
 
3.5%
Other values (16) 22
38.6%
Common
ValueCountFrequency (%)
7
33.3%
1 5
23.8%
2 2
 
9.5%
9 1
 
4.8%
8 1
 
4.8%
4 1
 
4.8%
# 1
 
4.8%
% 1
 
4.8%
& 1
 
4.8%
6 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
90.8%
ASCII 78
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 29
 
3.8%
사 29
 
3.8%
북 29
 
3.8%
이 24
 
3.1%
어 24
 
3.1%
문 21
 
2.7%
울 20
 
2.6%
아 18
 
2.3%
서 14
 
1.8%
화 14
 
1.8%
Other values (184) 545
71.1%
ASCII
ValueCountFrequency (%)
o 8
 
10.3%
7
 
9.0%
1 5
 
6.4%
t 4
 
5.1%
n 4
 
5.1%
B 3
 
3.8%
i 3
 
3.8%
e 3
 
3.8%
C 3
 
3.8%
g 3
 
3.8%
Other values (26) 35
44.9%

발행년
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)4.3%
Missing43
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean2022.8245
Minimum2012
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-15T03:43:26.236924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2021.35
Q12023
median2023
Q32023
95-th percentile2024
Maximum2024
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2175355
Coefficient of variation (CV)0.00060189875
Kurtosis36.275558
Mean2022.8245
Median Absolute Deviation (MAD)0
Skewness-4.9233649
Sum380291
Variance1.4823928
MonotonicityNot monotonic
2024-03-15T03:43:26.694990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2023 128
55.4%
2024 29
 
12.6%
2022 21
 
9.1%
2020 4
 
1.7%
2021 2
 
0.9%
2019 2
 
0.9%
2012 1
 
0.4%
2017 1
 
0.4%
(Missing) 43
 
18.6%
ValueCountFrequency (%)
2012 1
 
0.4%
2017 1
 
0.4%
2019 2
 
0.9%
2020 4
 
1.7%
2021 2
 
0.9%
2022 21
 
9.1%
2023 128
55.4%
2024 29
 
12.6%
ValueCountFrequency (%)
2024 29
 
12.6%
2023 128
55.4%
2022 21
 
9.1%
2021 2
 
0.9%
2020 4
 
1.7%
2019 2
 
0.9%
2017 1
 
0.4%
2012 1
 
0.4%

청구기호
Text

MISSING 

Distinct188
Distinct (%)100.0%
Missing43
Missing (%)18.6%
Memory size1.9 KiB
2024-03-15T03:43:27.849833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.882979
Min length5

Characters and Unicode

Total characters2046
Distinct characters24
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)100.0%

Sample

1st row029.4-155
2nd row005.133-91
3rd row004.735-2
4th row029.4-156
5th row189-283
ValueCountFrequency (%)
아동 60
 
23.2%
그림책 8
 
3.1%
시니어 2
 
0.8%
165.77-46 1
 
0.4%
670.15-3=2 1
 
0.4%
711.25-13-2 1
 
0.4%
813.8-4163-2 1
 
0.4%
813.8-3858-5 1
 
0.4%
813.8-4321 1
 
0.4%
813.8-4322-2 1
 
0.4%
Other values (182) 182
70.3%
2024-03-15T03:43:29.156782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 263
12.9%
1 259
12.7%
8 240
11.7%
3 213
10.4%
2 170
8.3%
. 128
 
6.3%
4 122
 
6.0%
9 91
 
4.4%
0 90
 
4.4%
5 88
 
4.3%
Other values (14) 382
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1421
69.5%
Dash Punctuation 263
 
12.9%
Other Letter 150
 
7.3%
Other Punctuation 128
 
6.3%
Space Separator 71
 
3.5%
Math Symbol 10
 
0.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 259
18.2%
8 240
16.9%
3 213
15.0%
2 170
12.0%
4 122
8.6%
9 91
 
6.4%
0 90
 
6.3%
5 88
 
6.2%
7 82
 
5.8%
6 66
 
4.6%
Other Letter
ValueCountFrequency (%)
아 60
40.0%
동 60
40.0%
림 8
 
5.3%
책 8
 
5.3%
그 8
 
5.3%
시 2
 
1.3%
어 2
 
1.3%
니 2
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
M 2
66.7%
O 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 263
100.0%
Other Punctuation
ValueCountFrequency (%)
. 128
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Math Symbol
ValueCountFrequency (%)
= 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1893
92.5%
Hangul 150
 
7.3%
Latin 3
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 263
13.9%
1 259
13.7%
8 240
12.7%
3 213
11.3%
2 170
9.0%
. 128
6.8%
4 122
6.4%
9 91
 
4.8%
0 90
 
4.8%
5 88
 
4.6%
Other values (4) 229
12.1%
Hangul
ValueCountFrequency (%)
아 60
40.0%
동 60
40.0%
림 8
 
5.3%
책 8
 
5.3%
그 8
 
5.3%
시 2
 
1.3%
어 2
 
1.3%
니 2
 
1.3%
Latin
ValueCountFrequency (%)
M 2
66.7%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1896
92.7%
Hangul 150
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 263
13.9%
1 259
13.7%
8 240
12.7%
3 213
11.2%
2 170
9.0%
. 128
6.8%
4 122
6.4%
9 91
 
4.8%
0 90
 
4.7%
5 88
 
4.6%
Other values (6) 232
12.2%
Hangul
ValueCountFrequency (%)
아 60
40.0%
동 60
40.0%
림 8
 
5.3%
책 8
 
5.3%
그 8
 
5.3%
시 2
 
1.3%
어 2
 
1.3%
니 2
 
1.3%

배가일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing43
Missing (%)18.6%
Memory size1.9 KiB
Minimum2024-02-01 00:00:00
Maximum2024-02-01 00:00:00
2024-03-15T03:43:29.352485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:43:29.611485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T03:43:11.470935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:43:10.942118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:43:11.734123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:43:11.202445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:43:29.833384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년
번호1.0000.303
발행년0.3031.000
2024-03-15T03:43:30.030785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년
번호1.000-0.138
발행년-0.1381.000

Missing values

2024-03-15T03:43:12.094130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:43:12.508736image/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.
2024-03-15T03:43:12.881615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호등록번호서명저자출판사발행년청구기호배가일
01ABN000163774(내면의 성장을 넘어 경제적 부까지 이뤄준)10억짜리 독서법손승욱 지음위즈덤하우스2023029.4-1552024-02-01
12ABN000163775ChatGPT로 파이썬 코딩하기조익현,배용빈 지음코딩이지2024005.133-912024-02-01
23ABN000163776GPT-4를 활용한 인공지능 앱 개발 : 오픈AI API와 최신 GPT 모델로 창의적 앱 구축하기올리비에 케일린,마리-알리스 블레트 [공]지음 ; 이일섭 옮김한빛미디어2023004.735-22024-02-01
34ABN000163777뇌신경 의사, 책을 읽다 : 한 시간 한 권 크랩 독서법신동선 지음더메이커2022029.4-1562024-02-01
45ABN000163778나는 아직 내가 낯설다 : 자신을 알아가고 사랑하기 위한 52가지 심리 여행다장쥔궈 지음 ; 박영란 옮김파인북2024189-2832024-02-01
56ABN000163779이런 삶이 꼰대라면 나는 그냥 꼰대할래요 : 피하고 싶지만 피할 수만은 없는 아주 현실적인 꼰대스러운 이야기임현서 지음Mindset2023199.1-8022024-02-01
67ABN000163780애착 효과 : 관계의 비밀을 여는 마음의 열쇠피터 로번하임 지음 ; 노지양 옮김교양인2022185.5-712024-02-01
78ABN000163781자유롭고 위대하게 : 애덤 스미스의 찬란한 유산라이언 패트릭 핸리 엮음 ; 곽은경 외 9인 옮김지식발전소2023320.15-102024-02-01
89ABN000163782나는 반항한다, 고로 철학한다 : '왜'라는 의문에서 새로운 철학을 발견한 철학자들, 그들이 우리에게 전하는 짧고 명확한 개념들키아라 파스토리니 글 ; 페르스발 바리에 그림 ; 김희진 옮김문학수첩2024104-2722024-02-01
910ABN000163783칸트철학의 우회로이충진 지음이학사2023165.21-342024-02-01
번호등록번호서명저자출판사발행년청구기호배가일
221<NA><NA><NA><NA><NA><NA><NA><NA>
222<NA><NA><NA><NA><NA><NA><NA><NA>
223<NA><NA><NA><NA><NA><NA><NA><NA>
224<NA><NA><NA><NA><NA><NA><NA><NA>
225<NA><NA><NA><NA><NA><NA><NA><NA>
226<NA><NA><NA><NA><NA><NA><NA><NA>
227<NA><NA><NA><NA><NA><NA><NA><NA>
228<NA><NA><NA><NA><NA><NA><NA><NA>
229<NA><NA><NA><NA><NA><NA><NA><NA>
230<NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

번호등록번호서명저자출판사발행년청구기호배가일# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA>43