Overview

Dataset statistics

Number of variables8
Number of observations525
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory34.5 KiB
Average record size in memory67.3 B

Variable types

Categorical1
Numeric3
Text4

Dataset

Description부산광역시동래구_도서관추천도서정보_20230820
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15063432

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
일시(년) is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 일시(년)High correlation

Reproduction

Analysis started2023-12-10 17:21:59.791184
Analysis finished2023-12-10 17:22:04.795141
Duration5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
안락누리도서관
391 
동래읍성도서관
134 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안락누리도서관
2nd row안락누리도서관
3rd row안락누리도서관
4th row안락누리도서관
5th row안락누리도서관

Common Values

ValueCountFrequency (%)
안락누리도서관 391
74.5%
동래읍성도서관 134
 
25.5%

Length

2023-12-11T02:22:04.954773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:22:05.271010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안락누리도서관 391
74.5%
동래읍성도서관 134
 
25.5%

일시(년)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.3714
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T02:22:05.523431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12019
median2021
Q32022
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.983025
Coefficient of variation (CV)0.00098151508
Kurtosis-1.3481238
Mean2020.3714
Median Absolute Deviation (MAD)2
Skewness-0.0068705739
Sum1060695
Variance3.9323882
MonotonicityDecreasing
2023-12-11T02:22:05.788047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 177
33.7%
2023 122
23.2%
2021 82
15.6%
2022 63
 
12.0%
2018 41
 
7.8%
2017 40
 
7.6%
ValueCountFrequency (%)
2017 40
 
7.6%
2018 41
 
7.8%
2019 177
33.7%
2021 82
15.6%
2022 63
 
12.0%
2023 122
23.2%
ValueCountFrequency (%)
2023 122
23.2%
2022 63
 
12.0%
2021 82
15.6%
2019 177
33.7%
2018 41
 
7.8%
2017 40
 
7.6%

일시(월)
Real number (ℝ)

Distinct12
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7657143
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T02:22:06.088560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1689641
Coefficient of variation (CV)0.54962212
Kurtosis-0.93945852
Mean5.7657143
Median Absolute Deviation (MAD)2
Skewness0.28788064
Sum3027
Variance10.042334
MonotonicityNot monotonic
2023-12-11T02:22:06.457533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 60
11.4%
5 56
10.7%
6 54
10.3%
3 54
10.3%
2 52
9.9%
8 44
8.4%
1 44
8.4%
9 43
8.2%
7 41
7.8%
11 29
5.5%
Other values (2) 48
9.1%
ValueCountFrequency (%)
1 44
8.4%
2 52
9.9%
3 54
10.3%
4 60
11.4%
5 56
10.7%
6 54
10.3%
7 41
7.8%
8 44
8.4%
9 43
8.2%
10 24
 
4.6%
ValueCountFrequency (%)
12 24
 
4.6%
11 29
5.5%
10 24
 
4.6%
9 43
8.2%
8 44
8.4%
7 41
7.8%
6 54
10.3%
5 56
10.7%
4 60
11.4%
3 54
10.3%

도서명
Text

Distinct517
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T02:22:07.697625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length44
Mean length24.88381
Min length1

Characters and Unicode

Total characters13064
Distinct characters770
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique509 ?
Unique (%)97.0%

Sample

1st row어린이를 위한 철학의 쓸모 (당당한 질문으로 단단한 나를 만드는 86가지 생각 도구)
2nd row두더지의 여름 (김상근 그림책)
3rd row모비 딕
4th row행성 시대 역사의 기후
5th row공자가 죽어야 나라가 산다
ValueCountFrequency (%)
이야기 26
 
0.8%
위한 23
 
0.7%
장편소설 21
 
0.6%
수업 17
 
0.5%
어떻게 16
 
0.5%
수상작 15
 
0.5%
그림책 14
 
0.4%
나를 14
 
0.4%
나의 13
 
0.4%
내 12
 
0.4%
Other values (2277) 3126
94.8%
2023-12-11T02:22:08.983655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2772
 
21.2%
( 354
 
2.7%
) 354
 
2.7%
의 313
 
2.4%
이 249
 
1.9%
는 233
 
1.8%
가 154
 
1.2%
다 133
 
1.0%
한 129
 
1.0%
하 128
 
1.0%
Other values (760) 8245
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9009
69.0%
Space Separator 2772
 
21.2%
Open Punctuation 354
 
2.7%
Close Punctuation 354
 
2.7%
Decimal Number 246
 
1.9%
Other Punctuation 138
 
1.1%
Lowercase Letter 119
 
0.9%
Uppercase Letter 56
 
0.4%
Math Symbol 5
 
< 0.1%
Initial Punctuation 4
 
< 0.1%
Other values (3) 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 313
 
3.5%
이 249
 
2.8%
는 233
 
2.6%
가 154
 
1.7%
다 133
 
1.5%
한 129
 
1.4%
하 128
 
1.4%
지 127
 
1.4%
기 123
 
1.4%
을 118
 
1.3%
Other values (691) 7302
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 14
11.8%
a 13
10.9%
i 11
9.2%
n 10
 
8.4%
r 10
 
8.4%
l 9
 
7.6%
t 7
 
5.9%
y 7
 
5.9%
o 7
 
5.9%
g 6
 
5.0%
Other values (10) 25
21.0%
Uppercase Letter
ValueCountFrequency (%)
H 6
 
10.7%
E 5
 
8.9%
S 5
 
8.9%
C 5
 
8.9%
O 5
 
8.9%
L 4
 
7.1%
A 3
 
5.4%
G 3
 
5.4%
T 3
 
5.4%
B 2
 
3.6%
Other values (10) 15
26.8%
Other Punctuation
ValueCountFrequency (%)
, 86
62.3%
? 16
 
11.6%
! 13
 
9.4%
: 10
 
7.2%
· 4
 
2.9%
. 4
 
2.9%
' 2
 
1.4%
… 1
 
0.7%
% 1
 
0.7%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 63
25.6%
2 62
25.2%
0 59
24.0%
3 15
 
6.1%
4 12
 
4.9%
5 11
 
4.5%
9 7
 
2.8%
8 6
 
2.4%
6 6
 
2.4%
7 5
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
| 2
40.0%
Space Separator
ValueCountFrequency (%)
2772
100.0%
Open Punctuation
ValueCountFrequency (%)
( 354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 354
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9003
68.9%
Common 3880
29.7%
Latin 175
 
1.3%
Han 4
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 313
 
3.5%
이 249
 
2.8%
는 233
 
2.6%
가 154
 
1.7%
다 133
 
1.5%
한 129
 
1.4%
하 128
 
1.4%
지 127
 
1.4%
기 123
 
1.4%
을 118
 
1.3%
Other values (685) 7296
81.0%
Latin
ValueCountFrequency (%)
e 14
 
8.0%
a 13
 
7.4%
i 11
 
6.3%
n 10
 
5.7%
r 10
 
5.7%
l 9
 
5.1%
t 7
 
4.0%
y 7
 
4.0%
o 7
 
4.0%
H 6
 
3.4%
Other values (30) 81
46.3%
Common
ValueCountFrequency (%)
2772
71.4%
( 354
 
9.1%
) 354
 
9.1%
, 86
 
2.2%
1 63
 
1.6%
2 62
 
1.6%
0 59
 
1.5%
? 16
 
0.4%
3 15
 
0.4%
! 13
 
0.3%
Other values (19) 86
 
2.2%
Han
ValueCountFrequency (%)
家 1
25.0%
眠 1
25.0%
魚 1
25.0%
人 1
25.0%
Hiragana
ValueCountFrequency (%)
る 1
50.0%
の 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9001
68.9%
ASCII 4041
30.9%
Punctuation 9
 
0.1%
None 4
 
< 0.1%
CJK 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Hiragana 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2772
68.6%
( 354
 
8.8%
) 354
 
8.8%
, 86
 
2.1%
1 63
 
1.6%
2 62
 
1.5%
0 59
 
1.5%
? 16
 
0.4%
3 15
 
0.4%
e 14
 
0.3%
Other values (54) 246
 
6.1%
Hangul
ValueCountFrequency (%)
의 313
 
3.5%
이 249
 
2.8%
는 233
 
2.6%
가 154
 
1.7%
다 133
 
1.5%
한 129
 
1.4%
하 128
 
1.4%
지 127
 
1.4%
기 123
 
1.4%
을 118
 
1.3%
Other values (684) 7294
81.0%
None
ValueCountFrequency (%)
· 4
100.0%
Punctuation
ValueCountFrequency (%)
‘ 4
44.4%
’ 4
44.4%
… 1
 
11.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK
ValueCountFrequency (%)
家 1
25.0%
眠 1
25.0%
魚 1
25.0%
人 1
25.0%
Hiragana
ValueCountFrequency (%)
る 1
50.0%
の 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%

국제표준도서번호(ISBN)
Text

Distinct515
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T02:22:09.500247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length21.001905
Min length10

Characters and Unicode

Total characters11026
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique505 ?
Unique (%)96.2%

Sample

1st row9791164064861
2nd row9791160949599
3rd row9791130690148
4th row9788962632521
5th row9791166891533
ValueCountFrequency (%)
9791130689890 2
 
0.2%
1135433240 2
 
0.2%
9788901251226 2
 
0.2%
8997186744 2
 
0.2%
9788936447014 2
 
0.2%
8936447017 2
 
0.2%
9788936477196 2
 
0.2%
8936477196 2
 
0.2%
9791135433245 2
 
0.2%
9788954674638 2
 
0.2%
Other values (865) 873
97.8%
2023-12-11T02:22:10.425707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 2056
18.6%
1 1556
14.1%
8 1354
12.3%
7 1241
11.3%
6 854
7.7%
5 759
 
6.9%
0 738
 
6.7%
4 685
 
6.2%
3 627
 
5.7%
2 597
 
5.4%
Other values (3) 559
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10467
94.9%
Space Separator 524
 
4.8%
Uppercase Letter 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 2056
19.6%
1 1556
14.9%
8 1354
12.9%
7 1241
11.9%
6 854
8.2%
5 759
 
7.3%
0 738
 
7.1%
4 685
 
6.5%
3 627
 
6.0%
2 597
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
X 34
97.1%
K 1
 
2.9%
Space Separator
ValueCountFrequency (%)
524
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10991
99.7%
Latin 35
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
9 2056
18.7%
1 1556
14.2%
8 1354
12.3%
7 1241
11.3%
6 854
7.8%
5 759
 
6.9%
0 738
 
6.7%
4 685
 
6.2%
3 627
 
5.7%
2 597
 
5.4%
Latin
ValueCountFrequency (%)
X 34
97.1%
K 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11026
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 2056
18.6%
1 1556
14.1%
8 1354
12.3%
7 1241
11.3%
6 854
7.7%
5 759
 
6.9%
0 738
 
6.7%
4 685
 
6.2%
3 627
 
5.7%
2 597
 
5.4%
Other values (3) 559
 
5.1%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7162
Minimum2009
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-11T02:22:10.756581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2016
Q12018
median2020
Q32022
95-th percentile2023
Maximum2023
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.208032
Coefficient of variation (CV)0.0010932387
Kurtosis1.6556087
Mean2019.7162
Median Absolute Deviation (MAD)2
Skewness-0.83956388
Sum1060351
Variance4.8754053
MonotonicityNot monotonic
2023-12-11T02:22:11.057226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2019 123
23.4%
2022 94
17.9%
2021 73
13.9%
2020 61
11.6%
2018 56
10.7%
2017 48
 
9.1%
2023 42
 
8.0%
2016 15
 
2.9%
2012 4
 
0.8%
2013 4
 
0.8%
Other values (4) 5
 
1.0%
ValueCountFrequency (%)
2009 1
 
0.2%
2011 1
 
0.2%
2012 4
 
0.8%
2013 4
 
0.8%
2014 2
 
0.4%
2015 1
 
0.2%
2016 15
 
2.9%
2017 48
 
9.1%
2018 56
10.7%
2019 123
23.4%
ValueCountFrequency (%)
2023 42
 
8.0%
2022 94
17.9%
2021 73
13.9%
2020 61
11.6%
2019 123
23.4%
2018 56
10.7%
2017 48
 
9.1%
2016 15
 
2.9%
2015 1
 
0.2%
2014 2
 
0.4%

저자
Text

Distinct484
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T02:22:11.722611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length5.167619
Min length2

Characters and Unicode

Total characters2713
Distinct characters404
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

Unique453 ?
Unique (%)86.3%

Sample

1st row오가와 히토시
2nd row김상근
3rd row티 오르시
4th row디페시 차크라바르티
5th row김경일
ValueCountFrequency (%)
지음 7
 
0.9%
이금이 4
 
0.5%
피터슨 4
 
0.5%
리처드 4
 
0.5%
김혜진 4
 
0.5%
마이클 3
 
0.4%
그림 3
 
0.4%
기욤 3
 
0.4%
이지은 3
 
0.4%
공지영 3
 
0.4%
Other values (679) 726
95.0%
2023-12-11T02:22:12.841505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
8.8%
이 102
 
3.8%
김 78
 
2.9%
정 55
 
2.0%
| 54
 
2.0%
리 50
 
1.8%
스 48
 
1.8%
지 40
 
1.5%
영 38
 
1.4%
은 36
 
1.3%
Other values (394) 1973
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2358
86.9%
Space Separator 239
 
8.8%
Math Symbol 54
 
2.0%
Other Punctuation 17
 
0.6%
Uppercase Letter 17
 
0.6%
Lowercase Letter 14
 
0.5%
Modifier Symbol 6
 
0.2%
Decimal Number 5
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 102
 
4.3%
김 78
 
3.3%
정 55
 
2.3%
리 50
 
2.1%
스 48
 
2.0%
지 40
 
1.7%
영 38
 
1.6%
은 36
 
1.5%
박 33
 
1.4%
드 32
 
1.4%
Other values (361) 1846
78.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
23.5%
B 3
17.6%
K 2
11.8%
D 1
 
5.9%
M 1
 
5.9%
W 1
 
5.9%
T 1
 
5.9%
G 1
 
5.9%
V 1
 
5.9%
C 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
r 2
14.3%
t 2
14.3%
a 2
14.3%
e 2
14.3%
m 1
7.1%
o 1
7.1%
y 1
7.1%
i 1
7.1%
n 1
7.1%
h 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 9
52.9%
. 8
47.1%
Open Punctuation
ValueCountFrequency (%)
〈 1
50.0%
( 1
50.0%
Space Separator
ValueCountFrequency (%)
239
100.0%
Math Symbol
ValueCountFrequency (%)
| 54
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
〉 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2358
86.9%
Common 324
 
11.9%
Latin 31
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 102
 
4.3%
김 78
 
3.3%
정 55
 
2.3%
리 50
 
2.1%
스 48
 
2.0%
지 40
 
1.7%
영 38
 
1.6%
은 36
 
1.5%
박 33
 
1.4%
드 32
 
1.4%
Other values (361) 1846
78.3%
Latin
ValueCountFrequency (%)
S 4
 
12.9%
B 3
 
9.7%
K 2
 
6.5%
r 2
 
6.5%
t 2
 
6.5%
a 2
 
6.5%
e 2
 
6.5%
D 1
 
3.2%
M 1
 
3.2%
W 1
 
3.2%
Other values (11) 11
35.5%
Common
ValueCountFrequency (%)
239
73.8%
| 54
 
16.7%
, 9
 
2.8%
. 8
 
2.5%
^ 6
 
1.9%
1 2
 
0.6%
5 1
 
0.3%
0 1
 
0.3%
2 1
 
0.3%
〉 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2358
86.9%
ASCII 353
 
13.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
67.7%
| 54
 
15.3%
, 9
 
2.5%
. 8
 
2.3%
^ 6
 
1.7%
S 4
 
1.1%
B 3
 
0.8%
1 2
 
0.6%
K 2
 
0.6%
r 2
 
0.6%
Other values (21) 24
 
6.8%
Hangul
ValueCountFrequency (%)
이 102
 
4.3%
김 78
 
3.3%
정 55
 
2.3%
리 50
 
2.1%
스 48
 
2.0%
지 40
 
1.7%
영 38
 
1.6%
은 36
 
1.5%
박 33
 
1.4%
드 32
 
1.4%
Other values (361) 1846
78.3%
None
ValueCountFrequency (%)
〉 1
50.0%
〈 1
50.0%

출판사
Text

Distinct284
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T02:22:13.471954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length4.2552381
Min length1

Characters and Unicode

Total characters2234
Distinct characters340
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

Unique196 ?
Unique (%)37.3%

Sample

1st row길벗스쿨
2nd row사계절
3rd row다산어린이
4th row에코리브르
5th row바다출판사
ValueCountFrequency (%)
문학동네 22
 
4.2%
창비 20
 
3.8%
사계절 13
 
2.5%
비룡소 10
 
1.9%
한겨레출판사 9
 
1.7%
은행나무 8
 
1.5%
민음사 8
 
1.5%
위즈덤하우스 8
 
1.5%
알에이치코리아 7
 
1.3%
다산초당 6
 
1.1%
Other values (274) 414
78.9%
2023-12-11T02:22:14.670375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 89
 
4.0%
사 86
 
3.8%
이 63
 
2.8%
북 57
 
2.6%
문 43
 
1.9%
비 42
 
1.9%
어 42
 
1.9%
출 37
 
1.7%
판 37
 
1.7%
리 33
 
1.5%
Other values (330) 1705
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2121
94.9%
Lowercase Letter 50
 
2.2%
Uppercase Letter 29
 
1.3%
Open Punctuation 15
 
0.7%
Close Punctuation 15
 
0.7%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 89
 
4.2%
사 86
 
4.1%
이 63
 
3.0%
북 57
 
2.7%
문 43
 
2.0%
비 42
 
2.0%
어 42
 
2.0%
출 37
 
1.7%
판 37
 
1.7%
리 33
 
1.6%
Other values (295) 1592
75.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.0%
r 6
12.0%
i 6
12.0%
a 6
12.0%
t 5
10.0%
s 4
8.0%
o 3
6.0%
n 3
6.0%
g 2
 
4.0%
l 2
 
4.0%
Other values (6) 6
12.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
20.7%
E 4
13.8%
Q 3
10.3%
S 3
10.3%
K 2
 
6.9%
O 2
 
6.9%
G 1
 
3.4%
N 1
 
3.4%
J 1
 
3.4%
X 1
 
3.4%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2121
94.9%
Latin 79
 
3.5%
Common 34
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 89
 
4.2%
사 86
 
4.1%
이 63
 
3.0%
북 57
 
2.7%
문 43
 
2.0%
비 42
 
2.0%
어 42
 
2.0%
출 37
 
1.7%
판 37
 
1.7%
리 33
 
1.6%
Other values (295) 1592
75.1%
Latin
ValueCountFrequency (%)
e 7
 
8.9%
B 6
 
7.6%
r 6
 
7.6%
i 6
 
7.6%
a 6
 
7.6%
t 5
 
6.3%
s 4
 
5.1%
E 4
 
5.1%
o 3
 
3.8%
Q 3
 
3.8%
Other values (21) 29
36.7%
Common
ValueCountFrequency (%)
( 15
44.1%
) 15
44.1%
2 3
 
8.8%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2121
94.9%
ASCII 113
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 89
 
4.2%
사 86
 
4.1%
이 63
 
3.0%
북 57
 
2.7%
문 43
 
2.0%
비 42
 
2.0%
어 42
 
2.0%
출 37
 
1.7%
판 37
 
1.7%
리 33
 
1.6%
Other values (295) 1592
75.1%
ASCII
ValueCountFrequency (%)
( 15
 
13.3%
) 15
 
13.3%
e 7
 
6.2%
B 6
 
5.3%
r 6
 
5.3%
i 6
 
5.3%
a 6
 
5.3%
t 5
 
4.4%
s 4
 
3.5%
E 4
 
3.5%
Other values (25) 39
34.5%

Interactions

2023-12-11T02:22:03.400627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:01.717159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:02.605172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:03.683676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:02.009601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:02.884717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:03.970846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:02.308502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:03.150052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:22:14.929266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관일시(년)일시(월)발행년도
도서관1.0000.2610.1240.244
일시(년)0.2611.0000.3660.807
일시(월)0.1240.3661.0000.220
발행년도0.2440.8070.2201.000
2023-12-11T02:22:15.174006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일시(년)일시(월)발행년도도서관
일시(년)1.000-0.1940.8770.354
일시(월)-0.1941.000-0.0470.094
발행년도0.877-0.0471.0000.239
도서관0.3540.0940.2391.000

Missing values

2023-12-11T02:22:04.320096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:22:04.660072image/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

도서관일시(년)일시(월)도서명국제표준도서번호(ISBN)발행년도저자출판사
0안락누리도서관20238어린이를 위한 철학의 쓸모 (당당한 질문으로 단단한 나를 만드는 86가지 생각 도구)97911640648612023오가와 히토시길벗스쿨
1안락누리도서관20238두더지의 여름 (김상근 그림책)97911609495992022김상근사계절
2안락누리도서관20238모비 딕97911306901482022티 오르시다산어린이
3안락누리도서관20238행성 시대 역사의 기후97889626325212023디페시 차크라바르티에코리브르
4안락누리도서관20238공자가 죽어야 나라가 산다97911668915332023김경일바다출판사
5안락누리도서관20238일요일의 음악실 (우리가 음악으로 연결되는 쉰두 번의 음악 수업)97911977917412023송은혜노르웨이숲
6동래읍성도서관20238고래 (제10회 문학동네소설상 수상작)97889828192782014천명관문학동네
7동래읍성도서관20238죽음의 역사 (죽음은 어떻게 우리의 세상을 변화시켰는가?)97911408064092023앤드루 도이그브론스테인
8동래읍성도서관20238슈퍼리치보다 해피리치를 꿈꿔라 (청소년을 위한 부자 인문학)97911587418152023한지우미디어숲
9동래읍성도서관20238나를 만드는 열두 가지 태도 (마음이 치우치지 않게 중심을 잡는 힘)97911632713452023강승임책속물고기
도서관일시(년)일시(월)도서명국제표준도서번호(ISBN)발행년도저자출판사
515안락누리도서관20175하룻밤8958284463 97889582844682016이금이사계절
516안락누리도서관20175마음을 담은 상차림1160940037 97911609400392017김소연사계절
517안락누리도서관20174베티는 너무너무 화가 나!8952234588 97889522345822016스티브 앤터니살림어린이
518안락누리도서관20174꼬끼오, 새날을 열어라8962478102 97889624781052017강성은위즈덤하우스
519안락누리도서관20174원더랜드 (재미와 놀이가 어떻게 세상을 창조했을까)8947541761 97889475417632017스티븐 존슨프런티어
520안락누리도서관20174거리 두기 (세상의 모든 관계에서 나를 지키는 힘)8965703964 97889657039692017임춘성쌤앤파커스
521안락누리도서관20173달이 좋아요 (나명남 그림책)8936455001 97889364550022016나명남창비
522안락누리도서관20173병아리 싸움8983896744 97889838967422016도종환바우솔
523안락누리도서관20173위대한 멈춤 (삶을 바꿀 자유의 시간)893291804X 97889329180442016박승오|홍승완열린책들
524안락누리도서관20173시인의 밥상1160400172 97911604001752016공지영한겨레출판사

Duplicate rows

Most frequently occurring

도서관일시(년)일시(월)도서명국제표준도서번호(ISBN)발행년도저자출판사# duplicates
0안락누리도서관20198인생의 마지막 순간에서 (죽음과 죽어감에 관한 실질적 조언)1135433240 97911354332452019샐리 티스데일비잉(Being)2