Overview

Dataset statistics

Number of variables8
Number of observations231
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory66.6 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description부산광역시연제구_연제도서관신착도서현황_20230131
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15048048

Alerts

번호 is highly overall correlated with 배가일High correlation
발행년 is highly overall correlated with 배가일High correlation
배가일 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
발행년 is highly imbalanced (56.4%)Imbalance
배가일 is highly imbalanced (63.5%)Imbalance
번호 has unique valuesUnique
등록번호 has unique valuesUnique
청구기호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:05:48.533618
Analysis finished2024-04-21 07:05:50.204811
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T16:05:50.332716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.5
Q158.5
median116
Q3173.5
95-th percentile219.5
Maximum231
Range230
Interquartile range (IQR)115

Descriptive statistics

Standard deviation66.828138
Coefficient of variation (CV)0.57610464
Kurtosis-1.2
Mean116
Median Absolute Deviation (MAD)58
Skewness0
Sum26796
Variance4466
MonotonicityStrictly increasing
2024-04-21T16:05:50.593304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
160 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (221) 221
95.7%
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 (%)
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%

등록번호
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-21T16:05:51.435216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2772
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

Unique231 ?
Unique (%)100.0%

Sample

1st rowABN000150881
2nd rowABN000150882
3rd rowABN000150883
4th rowABN000150884
5th rowABN000150885
ValueCountFrequency (%)
abn000150881 1
 
0.4%
abn000151055 1
 
0.4%
abn000151028 1
 
0.4%
abn000151029 1
 
0.4%
abn000151030 1
 
0.4%
abn000151031 1
 
0.4%
abn000151032 1
 
0.4%
abn000151033 1
 
0.4%
abn000151034 1
 
0.4%
abn000151035 1
 
0.4%
Other values (221) 221
95.7%
2024-04-21T16:05:52.475228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 965
34.8%
1 401
14.5%
5 274
 
9.9%
A 231
 
8.3%
B 231
 
8.3%
N 231
 
8.3%
9 153
 
5.5%
8 71
 
2.6%
3 43
 
1.6%
4 43
 
1.6%
Other values (3) 129
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2079
75.0%
Uppercase Letter 693
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 965
46.4%
1 401
19.3%
5 274
 
13.2%
9 153
 
7.4%
8 71
 
3.4%
3 43
 
2.1%
4 43
 
2.1%
6 43
 
2.1%
7 43
 
2.1%
2 43
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
A 231
33.3%
B 231
33.3%
N 231
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2079
75.0%
Latin 693
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 965
46.4%
1 401
19.3%
5 274
 
13.2%
9 153
 
7.4%
8 71
 
3.4%
3 43
 
2.1%
4 43
 
2.1%
6 43
 
2.1%
7 43
 
2.1%
2 43
 
2.1%
Latin
ValueCountFrequency (%)
A 231
33.3%
B 231
33.3%
N 231
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 965
34.8%
1 401
14.5%
5 274
 
9.9%
A 231
 
8.3%
B 231
 
8.3%
N 231
 
8.3%
9 153
 
5.5%
8 71
 
2.6%
3 43
 
1.6%
4 43
 
1.6%
Other values (3) 129
 
4.7%

서명
Text

Distinct227
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-21T16:05:53.432540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length47
Mean length28.30303
Min length3

Characters and Unicode

Total characters6538
Distinct characters645
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)97.0%

Sample

1st row내가 예쁘다고?
2nd row너에게 주는 말 선물
3rd row아흔에 색연필을 든 항칠 할매 이야기
4th row나는 파괴되지 않아
5th row돌보는 마음
ValueCountFrequency (%)
149
 
8.8%
이야기 18
 
1.1%
위한 13
 
0.8%
수업 11
 
0.7%
법 9
 
0.5%
한 7
 
0.4%
나를 6
 
0.4%
나는 6
 
0.4%
비밀 6
 
0.4%
우리 6
 
0.4%
Other values (1241) 1459
86.3%
2024-04-21T16:05:54.729984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1459
 
22.3%
: 146
 
2.2%
의 138
 
2.1%
이 129
 
2.0%
는 110
 
1.7%
기 77
 
1.2%
한 72
 
1.1%
가 72
 
1.1%
지 66
 
1.0%
을 63
 
1.0%
Other values (635) 4206
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4272
65.3%
Space Separator 1459
 
22.3%
Lowercase Letter 319
 
4.9%
Other Punctuation 236
 
3.6%
Decimal Number 100
 
1.5%
Uppercase Letter 46
 
0.7%
Close Punctuation 38
 
0.6%
Open Punctuation 38
 
0.6%
Math Symbol 19
 
0.3%
Dash Punctuation 5
 
0.1%
Other values (4) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 138
 
3.2%
이 129
 
3.0%
는 110
 
2.6%
기 77
 
1.8%
한 72
 
1.7%
가 72
 
1.7%
지 66
 
1.5%
을 63
 
1.5%
사 58
 
1.4%
리 55
 
1.3%
Other values (563) 3432
80.3%
Lowercase Letter
ValueCountFrequency (%)
t 32
10.0%
i 31
9.7%
e 29
 
9.1%
n 26
 
8.2%
o 26
 
8.2%
a 25
 
7.8%
r 25
 
7.8%
s 23
 
7.2%
l 14
 
4.4%
c 13
 
4.1%
Other values (14) 75
23.5%
Uppercase Letter
ValueCountFrequency (%)
S 7
15.2%
I 6
13.0%
A 5
10.9%
P 4
8.7%
T 4
8.7%
B 3
6.5%
E 3
6.5%
D 3
6.5%
M 2
 
4.3%
G 2
 
4.3%
Other values (6) 7
15.2%
Decimal Number
ValueCountFrequency (%)
0 23
23.0%
1 21
21.0%
2 15
15.0%
9 9
 
9.0%
5 8
 
8.0%
4 8
 
8.0%
3 5
 
5.0%
8 4
 
4.0%
6 4
 
4.0%
7 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
: 146
61.9%
, 45
 
19.1%
' 13
 
5.5%
? 10
 
4.2%
· 9
 
3.8%
! 6
 
2.5%
. 4
 
1.7%
" 2
 
0.8%
& 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 15
78.9%
+ 3
 
15.8%
∼ 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 37
97.4%
』 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 37
97.4%
『 1
 
2.6%
Space Separator
ValueCountFrequency (%)
1459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4266
65.2%
Common 1901
29.1%
Latin 365
 
5.6%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 138
 
3.2%
이 129
 
3.0%
는 110
 
2.6%
기 77
 
1.8%
한 72
 
1.7%
가 72
 
1.7%
지 66
 
1.5%
을 63
 
1.5%
사 58
 
1.4%
리 55
 
1.3%
Other values (557) 3426
80.3%
Latin
ValueCountFrequency (%)
t 32
 
8.8%
i 31
 
8.5%
e 29
 
7.9%
n 26
 
7.1%
o 26
 
7.1%
a 25
 
6.8%
r 25
 
6.8%
s 23
 
6.3%
l 14
 
3.8%
c 13
 
3.6%
Other values (30) 121
33.2%
Common
ValueCountFrequency (%)
1459
76.7%
: 146
 
7.7%
, 45
 
2.4%
) 37
 
1.9%
( 37
 
1.9%
0 23
 
1.2%
1 21
 
1.1%
2 15
 
0.8%
= 15
 
0.8%
' 13
 
0.7%
Other values (22) 90
 
4.7%
Han
ValueCountFrequency (%)
賞 1
16.7%
學 1
16.7%
文 1
16.7%
現 1
16.7%
代 1
16.7%
脫 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4266
65.2%
ASCII 2249
34.4%
None 12
 
0.2%
CJK 6
 
0.1%
Punctuation 4
 
0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1459
64.9%
: 146
 
6.5%
, 45
 
2.0%
) 37
 
1.6%
( 37
 
1.6%
t 32
 
1.4%
i 31
 
1.4%
e 29
 
1.3%
n 26
 
1.2%
o 26
 
1.2%
Other values (55) 381
 
16.9%
Hangul
ValueCountFrequency (%)
의 138
 
3.2%
이 129
 
3.0%
는 110
 
2.6%
기 77
 
1.8%
한 72
 
1.7%
가 72
 
1.7%
지 66
 
1.5%
을 63
 
1.5%
사 58
 
1.4%
리 55
 
1.3%
Other values (557) 3426
80.3%
None
ValueCountFrequency (%)
· 9
75.0%
』 1
 
8.3%
® 1
 
8.3%
『 1
 
8.3%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%
CJK
ValueCountFrequency (%)
賞 1
16.7%
學 1
16.7%
文 1
16.7%
現 1
16.7%
代 1
16.7%
脫 1
16.7%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

저자
Text

Distinct223
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-21T16:05:55.536520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length11.212121
Min length5

Characters and Unicode

Total characters2590
Distinct characters303
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)93.5%

Sample

1st row황인찬 지음 ; 이명애 그림
2nd row이라일라 글 ; 서영 그림
3rd row장희창 글 ; 정석조 그림
4th row박하령 지음
5th row김유담 지음
ValueCountFrequency (%)
지음 175
21.1%
104
 
12.6%
옮김 40
 
4.8%
그림 37
 
4.5%
글 28
 
3.4%
공]지음 12
 
1.4%
외 11
 
1.3%
앤 4
 
0.5%
글·그림 4
 
0.5%
로리 3
 
0.4%
Other values (385) 410
49.5%
2024-04-21T16:05:56.607527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
597
23.1%
지 205
 
7.9%
음 193
 
7.5%
; 104
 
4.0%
김 92
 
3.6%
이 64
 
2.5%
그 44
 
1.7%
림 44
 
1.7%
옮 41
 
1.6%
정 40
 
1.5%
Other values (293) 1166
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1783
68.8%
Space Separator 597
 
23.1%
Other Punctuation 119
 
4.6%
Lowercase Letter 28
 
1.1%
Open Punctuation 24
 
0.9%
Close Punctuation 24
 
0.9%
Uppercase Letter 15
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 205
 
11.5%
음 193
 
10.8%
김 92
 
5.2%
이 64
 
3.6%
그 44
 
2.5%
림 44
 
2.5%
옮 41
 
2.3%
정 40
 
2.2%
영 37
 
2.1%
글 34
 
1.9%
Other values (260) 989
55.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
21.4%
i 4
14.3%
n 4
14.3%
a 3
10.7%
r 2
 
7.1%
t 1
 
3.6%
z 1
 
3.6%
v 1
 
3.6%
d 1
 
3.6%
s 1
 
3.6%
Other values (4) 4
14.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
13.3%
B 2
13.3%
S 2
13.3%
W 1
6.7%
V 1
6.7%
D 1
6.7%
O 1
6.7%
N 1
6.7%
U 1
6.7%
J 1
6.7%
Other values (2) 2
13.3%
Other Punctuation
ValueCountFrequency (%)
; 104
87.4%
, 8
 
6.7%
· 4
 
3.4%
. 3
 
2.5%
Space Separator
ValueCountFrequency (%)
597
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 24
100.0%
Close Punctuation
ValueCountFrequency (%)
] 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1783
68.8%
Common 764
29.5%
Latin 43
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 205
 
11.5%
음 193
 
10.8%
김 92
 
5.2%
이 64
 
3.6%
그 44
 
2.5%
림 44
 
2.5%
옮 41
 
2.3%
정 40
 
2.2%
영 37
 
2.1%
글 34
 
1.9%
Other values (260) 989
55.5%
Latin
ValueCountFrequency (%)
e 6
 
14.0%
i 4
 
9.3%
n 4
 
9.3%
a 3
 
7.0%
P 2
 
4.7%
r 2
 
4.7%
B 2
 
4.7%
S 2
 
4.7%
W 1
 
2.3%
t 1
 
2.3%
Other values (16) 16
37.2%
Common
ValueCountFrequency (%)
597
78.1%
; 104
 
13.6%
[ 24
 
3.1%
] 24
 
3.1%
, 8
 
1.0%
· 4
 
0.5%
. 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1783
68.8%
ASCII 803
31.0%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
597
74.3%
; 104
 
13.0%
[ 24
 
3.0%
] 24
 
3.0%
, 8
 
1.0%
e 6
 
0.7%
i 4
 
0.5%
n 4
 
0.5%
. 3
 
0.4%
a 3
 
0.4%
Other values (22) 26
 
3.2%
Hangul
ValueCountFrequency (%)
지 205
 
11.5%
음 193
 
10.8%
김 92
 
5.2%
이 64
 
3.6%
그 44
 
2.5%
림 44
 
2.5%
옮 41
 
2.3%
정 40
 
2.2%
영 37
 
2.1%
글 34
 
1.9%
Other values (260) 989
55.5%
None
ValueCountFrequency (%)
· 4
100.0%

출판사
Text

Distinct187
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-21T16:05:57.760145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length4.6406926
Min length1

Characters and Unicode

Total characters1072
Distinct characters302
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)64.9%

Sample

1st row봄볕
2nd row파스텔하우스
3rd row호밀밭
4th row책폴
5th row민음사
ValueCountFrequency (%)
문학동네 4
 
1.7%
씨드북 4
 
1.7%
창비 3
 
1.2%
김영사 3
 
1.2%
마음이음 3
 
1.2%
비룡소 2
 
0.8%
푸른숲 2
 
0.8%
브라이트:다산북스 2
 
0.8%
바오 2
 
0.8%
오월의봄 2
 
0.8%
Other values (185) 213
88.8%
2024-04-21T16:05:59.441412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 43
 
4.0%
북 38
 
3.5%
사 32
 
3.0%
이 26
 
2.4%
: 25
 
2.3%
리 21
 
2.0%
아 18
 
1.7%
학 15
 
1.4%
어 14
 
1.3%
음 14
 
1.3%
Other values (292) 826
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 979
91.3%
Uppercase Letter 30
 
2.8%
Lowercase Letter 26
 
2.4%
Other Punctuation 25
 
2.3%
Space Separator 9
 
0.8%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 43
 
4.4%
북 38
 
3.9%
사 32
 
3.3%
이 26
 
2.7%
리 21
 
2.1%
아 18
 
1.8%
학 15
 
1.5%
어 14
 
1.4%
음 14
 
1.4%
문 13
 
1.3%
Other values (260) 745
76.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
16.7%
E 4
13.3%
W 3
10.0%
V 3
10.0%
S 3
10.0%
O 2
 
6.7%
I 2
 
6.7%
L 1
 
3.3%
U 1
 
3.3%
X 1
 
3.3%
Other values (5) 5
16.7%
Lowercase Letter
ValueCountFrequency (%)
s 6
23.1%
o 4
15.4%
i 3
11.5%
k 2
 
7.7%
b 2
 
7.7%
e 2
 
7.7%
f 1
 
3.8%
p 1
 
3.8%
g 1
 
3.8%
t 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
: 25
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 978
91.2%
Latin 56
 
5.2%
Common 37
 
3.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 43
 
4.4%
북 38
 
3.9%
사 32
 
3.3%
이 26
 
2.7%
리 21
 
2.1%
아 18
 
1.8%
학 15
 
1.5%
어 14
 
1.4%
음 14
 
1.4%
문 13
 
1.3%
Other values (259) 744
76.1%
Latin
ValueCountFrequency (%)
s 6
 
10.7%
B 5
 
8.9%
E 4
 
7.1%
o 4
 
7.1%
W 3
 
5.4%
V 3
 
5.4%
i 3
 
5.4%
S 3
 
5.4%
k 2
 
3.6%
b 2
 
3.6%
Other values (18) 21
37.5%
Common
ValueCountFrequency (%)
: 25
67.6%
9
 
24.3%
2 2
 
5.4%
1 1
 
2.7%
Han
ValueCountFrequency (%)
知 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 978
91.2%
ASCII 93
 
8.7%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 43
 
4.4%
북 38
 
3.9%
사 32
 
3.3%
이 26
 
2.7%
리 21
 
2.1%
아 18
 
1.8%
학 15
 
1.5%
어 14
 
1.4%
음 14
 
1.4%
문 13
 
1.3%
Other values (259) 744
76.1%
ASCII
ValueCountFrequency (%)
: 25
26.9%
9
 
9.7%
s 6
 
6.5%
B 5
 
5.4%
E 4
 
4.3%
o 4
 
4.3%
W 3
 
3.2%
V 3
 
3.2%
i 3
 
3.2%
S 3
 
3.2%
Other values (22) 28
30.1%
CJK
ValueCountFrequency (%)
知 1
100.0%

발행년
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2022
185 
2021
39 
2023
 
4
2018
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2021
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 185
80.1%
2021 39
 
16.9%
2023 4
 
1.7%
2018 3
 
1.3%

Length

2024-04-21T16:05:59.795408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:06:00.105877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 185
80.1%
2021 39
 
16.9%
2023 4
 
1.7%
2018 3
 
1.3%

청구기호
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-21T16:06:01.107533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.12987
Min length5

Characters and Unicode

Total characters2340
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

Unique231 ?
Unique (%)100.0%

Sample

1st row그림책 808-82-8=3
2nd row그림책 813-2393
3rd row시니어 818-95=2
4th row813.7-3009=3
5th row813.7-3153=2
ValueCountFrequency (%)
아동 18
 
6.6%
그림책 13
 
4.7%
시니어 10
 
3.6%
mom 2
 
0.7%
863-498 1
 
0.4%
811-66 1
 
0.4%
692.3-7=2 1
 
0.4%
381.75-66=2 1
 
0.4%
818-2852=2 1
 
0.4%
745-76 1
 
0.4%
Other values (225) 225
82.1%
2024-04-21T16:06:02.533134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 303
12.9%
3 274
11.7%
2 264
11.3%
- 248
10.6%
. 177
7.6%
8 157
 
6.7%
4 132
 
5.6%
5 129
 
5.5%
0 115
 
4.9%
9 108
 
4.6%
Other values (14) 433
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1656
70.8%
Dash Punctuation 248
 
10.6%
Other Punctuation 177
 
7.6%
Math Symbol 105
 
4.5%
Other Letter 105
 
4.5%
Space Separator 43
 
1.8%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 303
18.3%
3 274
16.5%
2 264
15.9%
8 157
9.5%
4 132
8.0%
5 129
7.8%
0 115
 
6.9%
9 108
 
6.5%
6 90
 
5.4%
7 84
 
5.1%
Other Letter
ValueCountFrequency (%)
동 18
17.1%
아 18
17.1%
그 13
12.4%
림 13
12.4%
책 13
12.4%
어 10
9.5%
니 10
9.5%
시 10
9.5%
Uppercase Letter
ValueCountFrequency (%)
M 4
66.7%
O 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%
Other Punctuation
ValueCountFrequency (%)
. 177
100.0%
Math Symbol
ValueCountFrequency (%)
= 105
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2229
95.3%
Hangul 105
 
4.5%
Latin 6
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 303
13.6%
3 274
12.3%
2 264
11.8%
- 248
11.1%
. 177
7.9%
8 157
7.0%
4 132
5.9%
5 129
5.8%
0 115
 
5.2%
9 108
 
4.8%
Other values (4) 322
14.4%
Hangul
ValueCountFrequency (%)
동 18
17.1%
아 18
17.1%
그 13
12.4%
림 13
12.4%
책 13
12.4%
어 10
9.5%
니 10
9.5%
시 10
9.5%
Latin
ValueCountFrequency (%)
M 4
66.7%
O 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2235
95.5%
Hangul 105
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 303
13.6%
3 274
12.3%
2 264
11.8%
- 248
11.1%
. 177
7.9%
8 157
7.0%
4 132
5.9%
5 129
 
5.8%
0 115
 
5.1%
9 108
 
4.8%
Other values (6) 328
14.7%
Hangul
ValueCountFrequency (%)
동 18
17.1%
아 18
17.1%
그 13
12.4%
림 13
12.4%
책 13
12.4%
어 10
9.5%
니 10
9.5%
시 10
9.5%

배가일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-01-19
201 
2023-01-25
 
17
2023-01-05
 
10
2023-01-04
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-05
2nd row2023-01-05
3rd row2023-01-05
4th row2023-01-05
5th row2023-01-05

Common Values

ValueCountFrequency (%)
2023-01-19 201
87.0%
2023-01-25 17
 
7.4%
2023-01-05 10
 
4.3%
2023-01-04 3
 
1.3%

Length

2024-04-21T16:06:02.791945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:06:02.991185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-19 201
87.0%
2023-01-25 17
 
7.4%
2023-01-05 10
 
4.3%
2023-01-04 3
 
1.3%

Interactions

2024-04-21T16:05:49.596421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T16:06:03.110622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년배가일
번호1.0000.4040.803
발행년0.4041.0000.923
배가일0.8030.9231.000
2024-04-21T16:06:03.257818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발행년배가일
발행년1.0000.632
배가일0.6321.000
2024-04-21T16:06:03.407559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년배가일
번호1.0000.2470.613
발행년0.2471.0000.632
배가일0.6130.6321.000

Missing values

2024-04-21T16:05:49.890684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:05:50.123450image/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

번호등록번호서명저자출판사발행년청구기호배가일
01ABN000150881내가 예쁘다고?황인찬 지음 ; 이명애 그림봄볕2022그림책 808-82-8=32023-01-05
12ABN000150882너에게 주는 말 선물이라일라 글 ; 서영 그림파스텔하우스2022그림책 813-23932023-01-05
23ABN000150883아흔에 색연필을 든 항칠 할매 이야기장희창 글 ; 정석조 그림호밀밭2021시니어 818-95=22023-01-05
34ABN000150884나는 파괴되지 않아박하령 지음책폴2022813.7-3009=32023-01-05
45ABN000150885돌보는 마음김유담 지음민음사2022813.7-3153=22023-01-05
56ABN000150886디자인 트랩 : 당신을 속이고, 유혹하고, 중독시키는 디자인의 비밀윤재영 지음김영사2022325.5-174=22023-01-05
67ABN000150887나를 지키는 최소한의 법 이야기양지열 지음자음과모음2022360.4-22=22023-01-05
78ABN000150888내게 익숙한 것들의 역사문부일 글 ; 홍지혜 그림마음이음2022909-4142023-01-05
89ABN000150889밝은 밤최은영 지음문학동네2022813.7-2858=42023-01-05
910ABN000150890내겐 소리로 인사해 줘안미란 글 ; 심보영 그림마음이음2022아동 813.8-2235-5=32023-01-05
번호등록번호서명저자출판사발행년청구기호배가일
221222ABN000151102(읽기만 해도 깨달아지는)지남쌤 성경공부. 사도행전이지남 지음규장2022233.66-22023-01-25
222223ABN000151103(반도체를 넘어 인공지능으로)AI 혁명의 미래 : 구글, 엔비디아 등 IT 기업들의 전략을 파헤친다!정인성 ,최홍섭 [공]지음이레미디어2023331.5412-2272023-01-25
223224ABN000151104빌리브 잇 : 유리천장을 뚫고 로레알 정상에 오르며 깨달은 자기확신의 힘제이미 컨 리마 글 ; 한원희 옮김유노북스2021325.211-10332023-01-25
224225ABN000151105현질의 탄생 : 동전투입에서 NFT까지, '현질'은 어떻게 세상을 바꾸었을까?이경혁 지음이상북스2022331.5-1072023-01-25
225226ABN000151106스카이 버스=Sky bus : 명문 대학으로 직행하는 초등 공부 전략서분당강쌤 지음다산에듀:다산북스2023373.4-2682023-01-25
226227ABN000151107TM영업으로 억대 연봉 버는 비법아이스 강매일경제신문사:매경출판2022325.5-1832023-01-25
227228ABN000151108(치열하게 싸우고 다정하게 빛나는)여자를 돕는 여자들 : 이혜미 인터뷰집이혜미 지음 ; 한지은 사진부키2022337.1-582023-01-25
228229ABN000151109초등학교 1학년 학교생활 궁금하시죠?곽도경 지음W미디어2023375.2-242023-01-25
229230ABN0001511102023 세계를 바꿀 테크놀로지 100 : 닛케이가 전망한 기술 트렌드닛케이BP 지음 ; 윤태성 옮김시크릿하우스2022331.5412-2282023-01-25
230231ABN000151111블루프린트 : 이기적 인간은 어떻게 좋은 사회를 만드는가니컬러스 A. 크리스타키스 지음 ; 이한음 옮김부키2022331-732023-01-25