Overview

Dataset statistics

Number of variables8
Number of observations382
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory25.1 KiB
Average record size in memory67.3 B

Variable types

Categorical2
Numeric2
Text4

Dataset

Description부산광역시동래구_도서관추천도서정보_20220809
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15063432

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
발행년도 is highly overall correlated with 일시(년)High correlation
일시(년) is highly overall correlated with 발행년도High correlation

Reproduction

Analysis started2023-12-10 17:22:18.049052
Analysis finished2023-12-10 17:22:21.644440
Duration3.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
안락누리도서관
296 
동래읍성도서관
86 

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 296
77.5%
동래읍성도서관 86
 
22.5%

Length

2023-12-11T02:22:21.886231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:22:22.277428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안락누리도서관 296
77.5%
동래읍성도서관 86
 
22.5%

일시(년)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2019
177 
2021
82 
2022
42 
2018
41 
2017
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2019 177
46.3%
2021 82
21.5%
2022 42
 
11.0%
2018 41
 
10.7%
2017 40
 
10.5%

Length

2023-12-11T02:22:22.622617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:22:22.912780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 177
46.3%
2021 82
21.5%
2022 42
 
11.0%
2018 41
 
10.7%
2017 40
 
10.5%

일시(월)
Real number (ℝ)

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.986911
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T02:22:23.222897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1849937
Coefficient of variation (CV)0.53199283
Kurtosis-1.0194621
Mean5.986911
Median Absolute Deviation (MAD)3
Skewness0.19523873
Sum2287
Variance10.144185
MonotonicityNot monotonic
2023-12-11T02:22:23.480135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 42
11.0%
4 42
11.0%
9 38
9.9%
5 37
9.7%
3 37
9.7%
2 36
9.4%
8 32
8.4%
7 29
7.6%
1 28
7.3%
11 24
6.3%
Other values (2) 37
9.7%
ValueCountFrequency (%)
1 28
7.3%
2 36
9.4%
3 37
9.7%
4 42
11.0%
5 37
9.7%
6 42
11.0%
7 29
7.6%
8 32
8.4%
9 38
9.9%
10 19
5.0%
ValueCountFrequency (%)
12 18
4.7%
11 24
6.3%
10 19
5.0%
9 38
9.9%
8 32
8.4%
7 29
7.6%
6 42
11.0%
5 37
9.7%
4 42
11.0%
3 37
9.7%
Distinct376
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T02:22:24.312248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length43
Mean length24.222513
Min length2

Characters and Unicode

Total characters9253
Distinct characters706
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

Unique370 ?
Unique (%)96.9%

Sample

1st row저만치 혼자서 (김훈 소설)
2nd row어느 날 니체가 내 삶을 흔들었다 (니체와 함께하는 철학 산책)
3rd row낙원
4th row느낌의 진화 양장 (생명과 문화를 만든 놀라운 순서)
5th row전쟁으로 보는 한국 근대사 (조선, 세계의 화학고)
ValueCountFrequency (%)
장편소설 17
 
0.7%
이야기 16
 
0.7%
어떻게 13
 
0.6%
위한 13
 
0.6%
나의 11
 
0.5%
나를 10
 
0.4%
수상작 10
 
0.4%
10
 
0.4%
수업 10
 
0.4%
어느 8
 
0.3%
Other values (1722) 2204
94.9%
2023-12-11T02:22:25.561126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1940
 
21.0%
( 251
 
2.7%
) 251
 
2.7%
221
 
2.4%
175
 
1.9%
162
 
1.8%
110
 
1.2%
96
 
1.0%
91
 
1.0%
86
 
0.9%
Other values (696) 5870
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6383
69.0%
Space Separator 1940
 
21.0%
Open Punctuation 251
 
2.7%
Close Punctuation 251
 
2.7%
Decimal Number 166
 
1.8%
Lowercase Letter 119
 
1.3%
Other Punctuation 95
 
1.0%
Uppercase Letter 39
 
0.4%
Math Symbol 2
 
< 0.1%
Final Punctuation 2
 
< 0.1%
Other values (3) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
 
3.5%
175
 
2.7%
162
 
2.5%
110
 
1.7%
96
 
1.5%
91
 
1.4%
86
 
1.3%
86
 
1.3%
85
 
1.3%
84
 
1.3%
Other values (632) 5187
81.3%
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
15.4%
S 5
12.8%
C 4
10.3%
O 3
 
7.7%
L 3
 
7.7%
B 2
 
5.1%
A 2
 
5.1%
D 2
 
5.1%
E 2
 
5.1%
T 2
 
5.1%
Other values (7) 8
20.5%
Decimal Number
ValueCountFrequency (%)
1 47
28.3%
0 41
24.7%
2 35
21.1%
3 10
 
6.0%
4 9
 
5.4%
9 7
 
4.2%
5 7
 
4.2%
6 5
 
3.0%
8 3
 
1.8%
7 2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 64
67.4%
? 10
 
10.5%
! 9
 
9.5%
. 4
 
4.2%
: 3
 
3.2%
' 2
 
2.1%
· 1
 
1.1%
1
 
1.1%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1940
100.0%
Open Punctuation
ValueCountFrequency (%)
( 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 251
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6377
68.9%
Common 2712
29.3%
Latin 158
 
1.7%
Han 4
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
 
3.5%
175
 
2.7%
162
 
2.5%
110
 
1.7%
96
 
1.5%
91
 
1.4%
86
 
1.3%
86
 
1.3%
85
 
1.3%
84
 
1.3%
Other values (626) 5181
81.2%
Latin
ValueCountFrequency (%)
e 14
 
8.9%
a 13
 
8.2%
i 11
 
7.0%
n 10
 
6.3%
r 10
 
6.3%
l 9
 
5.7%
t 7
 
4.4%
y 7
 
4.4%
o 7
 
4.4%
g 6
 
3.8%
Other values (27) 64
40.5%
Common
ValueCountFrequency (%)
1940
71.5%
( 251
 
9.3%
) 251
 
9.3%
, 64
 
2.4%
1 47
 
1.7%
0 41
 
1.5%
2 35
 
1.3%
? 10
 
0.4%
3 10
 
0.4%
4 9
 
0.3%
Other values (17) 54
 
2.0%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6375
68.9%
ASCII 2863
30.9%
Punctuation 5
 
0.1%
CJK 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Hiragana 2
 
< 0.1%
None 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1940
67.8%
( 251
 
8.8%
) 251
 
8.8%
, 64
 
2.2%
1 47
 
1.6%
0 41
 
1.4%
2 35
 
1.2%
e 14
 
0.5%
a 13
 
0.5%
i 11
 
0.4%
Other values (49) 196
 
6.8%
Hangul
ValueCountFrequency (%)
221
 
3.5%
175
 
2.7%
162
 
2.5%
110
 
1.7%
96
 
1.5%
91
 
1.4%
86
 
1.3%
86
 
1.3%
85
 
1.3%
84
 
1.3%
Other values (625) 5179
81.2%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
None
ValueCountFrequency (%)
· 1
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%

ISBN
Text

Distinct375
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T02:22:26.138336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length23.589005
Min length10

Characters and Unicode

Total characters9011
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

Unique368 ?
Unique (%)96.3%

Sample

1st row9788954686921
2nd row9788970755205
3rd row9788954686785
4th row9788950981174
5th row9788954766777
ValueCountFrequency (%)
8997186744 2
 
0.3%
1167370287 2
 
0.3%
9791135433245 2
 
0.3%
1135433240 2
 
0.3%
9788936477196 2
 
0.3%
8936477196 2
 
0.3%
9791167370280 2
 
0.3%
9788997186747 2
 
0.3%
9788965749783 2
 
0.3%
9788936447014 2
 
0.3%
Other values (727) 730
97.3%
2023-12-11T02:22:27.092844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1631
18.1%
1 1272
14.1%
8 1146
12.7%
7 986
10.9%
6 714
7.9%
5 647
 
7.2%
0 619
 
6.9%
4 569
 
6.3%
3 531
 
5.9%
2 493
 
5.5%
Other values (3) 403
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8608
95.5%
Space Separator 368
 
4.1%
Uppercase Letter 35
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1631
18.9%
1 1272
14.8%
8 1146
13.3%
7 986
11.5%
6 714
8.3%
5 647
 
7.5%
0 619
 
7.2%
4 569
 
6.6%
3 531
 
6.2%
2 493
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
X 34
97.1%
K 1
 
2.9%
Space Separator
ValueCountFrequency (%)
368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8976
99.6%
Latin 35
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1631
18.2%
1 1272
14.2%
8 1146
12.8%
7 986
11.0%
6 714
8.0%
5 647
 
7.2%
0 619
 
6.9%
4 569
 
6.3%
3 531
 
5.9%
2 493
 
5.5%
Latin
ValueCountFrequency (%)
X 34
97.1%
K 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1631
18.1%
1 1272
14.1%
8 1146
12.7%
7 986
10.9%
6 714
7.9%
5 647
 
7.2%
0 619
 
6.9%
4 569
 
6.3%
3 531
 
5.9%
2 493
 
5.5%
Other values (3) 403
 
4.5%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.9476
Minimum2009
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-11T02:22:27.369167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2016
Q12018
median2019
Q32020
95-th percentile2021
Maximum2022
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8292985
Coefficient of variation (CV)0.00090606535
Kurtosis3.4580898
Mean2018.9476
Median Absolute Deviation (MAD)1
Skewness-1.137769
Sum771238
Variance3.346333
MonotonicityNot monotonic
2023-12-11T02:22:27.676491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2019 119
31.2%
2021 61
16.0%
2020 57
14.9%
2018 54
14.1%
2017 48
12.6%
2022 19
 
5.0%
2016 14
 
3.7%
2013 4
 
1.0%
2012 3
 
0.8%
2015 1
 
0.3%
Other values (2) 2
 
0.5%
ValueCountFrequency (%)
2009 1
 
0.3%
2012 3
 
0.8%
2013 4
 
1.0%
2014 1
 
0.3%
2015 1
 
0.3%
2016 14
 
3.7%
2017 48
12.6%
2018 54
14.1%
2019 119
31.2%
2020 57
14.9%
ValueCountFrequency (%)
2022 19
 
5.0%
2021 61
16.0%
2020 57
14.9%
2019 119
31.2%
2018 54
14.1%
2017 48
12.6%
2016 14
 
3.7%
2015 1
 
0.3%
2014 1
 
0.3%
2013 4
 
1.0%

저자
Text

Distinct356
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T02:22:28.265735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length5.091623
Min length2

Characters and Unicode

Total characters1945
Distinct characters356
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

Unique336 ?
Unique (%)88.0%

Sample

1st row김훈
2nd row장석주
3rd row압둘라자크 구르나
4th row안토니오 다마지오
5th row신효승
ValueCountFrequency (%)
이금이 4
 
0.7%
김혜진 4
 
0.7%
리처드 4
 
0.7%
공지영 3
 
0.6%
정유정 3
 
0.6%
피터슨 3
 
0.6%
김미경 2
 
0.4%
김훈 2
 
0.4%
오은영 2
 
0.4%
존슨 2
 
0.4%
Other values (487) 508
94.6%
2023-12-11T02:22:29.476573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
8.0%
72
 
3.7%
60
 
3.1%
| 54
 
2.8%
42
 
2.2%
38
 
2.0%
38
 
2.0%
29
 
1.5%
27
 
1.4%
26
 
1.3%
Other values (346) 1404
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1703
87.6%
Space Separator 155
 
8.0%
Math Symbol 54
 
2.8%
Uppercase Letter 12
 
0.6%
Lowercase Letter 7
 
0.4%
Other Punctuation 6
 
0.3%
Decimal Number 5
 
0.3%
Open Punctuation 2
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
72
 
4.2%
60
 
3.5%
42
 
2.5%
38
 
2.2%
38
 
2.2%
29
 
1.7%
27
 
1.6%
26
 
1.5%
26
 
1.5%
23
 
1.4%
Other values (320) 1322
77.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
K 2
16.7%
S 2
16.7%
H 1
 
8.3%
C 1
 
8.3%
V 1
 
8.3%
D 1
 
8.3%
W 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
n 1
14.3%
a 1
14.3%
t 1
14.3%
h 1
14.3%
e 1
14.3%
r 1
14.3%
i 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
0 1
20.0%
5 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
, 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
1
50.0%
( 1
50.0%
Space Separator
ValueCountFrequency (%)
155
100.0%
Math Symbol
ValueCountFrequency (%)
| 54
100.0%
Close Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1703
87.6%
Common 223
 
11.5%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
72
 
4.2%
60
 
3.5%
42
 
2.5%
38
 
2.2%
38
 
2.2%
29
 
1.7%
27
 
1.6%
26
 
1.5%
26
 
1.5%
23
 
1.4%
Other values (320) 1322
77.6%
Latin
ValueCountFrequency (%)
B 3
15.8%
K 2
 
10.5%
S 2
 
10.5%
H 1
 
5.3%
n 1
 
5.3%
C 1
 
5.3%
a 1
 
5.3%
t 1
 
5.3%
h 1
 
5.3%
e 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
155
69.5%
| 54
 
24.2%
. 5
 
2.2%
1 2
 
0.9%
1
 
0.4%
1
 
0.4%
, 1
 
0.4%
0 1
 
0.4%
5 1
 
0.4%
( 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1703
87.6%
ASCII 240
 
12.3%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
64.6%
| 54
 
22.5%
. 5
 
2.1%
B 3
 
1.2%
1 2
 
0.8%
K 2
 
0.8%
S 2
 
0.8%
, 1
 
0.4%
0 1
 
0.4%
5 1
 
0.4%
Other values (14) 14
 
5.8%
Hangul
ValueCountFrequency (%)
72
 
4.2%
60
 
3.5%
42
 
2.5%
38
 
2.2%
38
 
2.2%
29
 
1.7%
27
 
1.6%
26
 
1.5%
26
 
1.5%
23
 
1.4%
Other values (320) 1322
77.6%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct224
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-11T02:22:30.430108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.2486911
Min length1

Characters and Unicode

Total characters1623
Distinct characters301
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

Unique163 ?
Unique (%)42.7%

Sample

1st row문학동네
2nd row문학세계사
3rd row문학동네
4th row아르테(arte)
5th rowEBS한국교육방송공사
ValueCountFrequency (%)
문학동네 13
 
3.4%
창비 12
 
3.1%
사계절 10
 
2.6%
한겨레출판사 8
 
2.1%
민음사 7
 
1.8%
비룡소 7
 
1.8%
위즈덤하우스 6
 
1.6%
은행나무 6
 
1.6%
알에이치코리아 6
 
1.6%
쌤앤파커스 5
 
1.3%
Other values (214) 302
79.1%
2023-12-11T02:22:31.667414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
4.3%
66
 
4.1%
45
 
2.8%
39
 
2.4%
33
 
2.0%
30
 
1.8%
30
 
1.8%
29
 
1.8%
26
 
1.6%
23
 
1.4%
Other values (291) 1232
75.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1552
95.6%
Lowercase Letter 35
 
2.2%
Uppercase Letter 14
 
0.9%
Open Punctuation 10
 
0.6%
Close Punctuation 10
 
0.6%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
 
4.5%
66
 
4.3%
45
 
2.9%
39
 
2.5%
33
 
2.1%
30
 
1.9%
30
 
1.9%
29
 
1.9%
26
 
1.7%
23
 
1.5%
Other values (266) 1161
74.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
20.0%
a 5
14.3%
t 4
11.4%
r 4
11.4%
i 3
8.6%
o 2
 
5.7%
g 2
 
5.7%
n 2
 
5.7%
s 1
 
2.9%
b 1
 
2.9%
Other values (4) 4
11.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
E 3
21.4%
S 2
 
14.3%
J 1
 
7.1%
O 1
 
7.1%
G 1
 
7.1%
N 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1552
95.6%
Latin 49
 
3.0%
Common 22
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
4.5%
66
 
4.3%
45
 
2.9%
39
 
2.5%
33
 
2.1%
30
 
1.9%
30
 
1.9%
29
 
1.9%
26
 
1.7%
23
 
1.5%
Other values (266) 1161
74.8%
Latin
ValueCountFrequency (%)
e 7
14.3%
a 5
10.2%
B 5
10.2%
t 4
 
8.2%
r 4
 
8.2%
E 3
 
6.1%
i 3
 
6.1%
S 2
 
4.1%
o 2
 
4.1%
g 2
 
4.1%
Other values (11) 12
24.5%
Common
ValueCountFrequency (%)
( 10
45.5%
) 10
45.5%
1 1
 
4.5%
2 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1552
95.6%
ASCII 71
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
70
 
4.5%
66
 
4.3%
45
 
2.9%
39
 
2.5%
33
 
2.1%
30
 
1.9%
30
 
1.9%
29
 
1.9%
26
 
1.7%
23
 
1.5%
Other values (266) 1161
74.8%
ASCII
ValueCountFrequency (%)
( 10
14.1%
) 10
14.1%
e 7
 
9.9%
a 5
 
7.0%
B 5
 
7.0%
t 4
 
5.6%
r 4
 
5.6%
E 3
 
4.2%
i 3
 
4.2%
S 2
 
2.8%
Other values (15) 18
25.4%

Interactions

2023-12-11T02:22:20.191098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:19.718472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:20.487576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:22:19.931360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:22:31.898873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관일시(년)일시(월)발행년도
도서관1.0000.2970.1090.354
일시(년)0.2971.0000.2940.773
일시(월)0.1090.2941.0000.218
발행년도0.3540.7730.2181.000
2023-12-11T02:22:32.109652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관일시(년)
도서관1.0000.361
일시(년)0.3611.000
2023-12-11T02:22:32.296317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일시(월)발행년도도서관일시(년)
일시(월)1.0000.0570.0820.125
발행년도0.0571.0000.2600.618
도서관0.0820.2601.0000.361
일시(년)0.1250.6180.3611.000

Missing values

2023-12-11T02:22:20.920412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:22:21.458354image/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)도서명ISBN발행년도저자출판사
0안락누리도서관20228저만치 혼자서 (김훈 소설)97889546869212022김훈문학동네
1안락누리도서관20228어느 날 니체가 내 삶을 흔들었다 (니체와 함께하는 철학 산책)97889707552052022장석주문학세계사
2안락누리도서관20228낙원97889546867852022압둘라자크 구르나문학동네
3안락누리도서관20228느낌의 진화 양장 (생명과 문화를 만든 놀라운 순서)97889509811742019안토니오 다마지오아르테(arte)
4안락누리도서관20228전쟁으로 보는 한국 근대사 (조선, 세계의 화학고)97889547667772022신효승EBS한국교육방송공사
5안락누리도서관20227황은덕 소설가의 공감공부8998079461 97889980794682022황은덕해피북미디어
6안락누리도서관20227가장 외로운 선택 (청년 자살, 무엇이 그들을 죽음으로 내몰았는가)116405161X 97911640516182022김현수|이현정|장숙랑|이기연|주지영북하우스
7안락누리도서관20227오늘부터 시작하는 탄소중립 (기후위기 시대, 우리는 무엇을 입고 먹고 탈까?)1160808325 97911608083222022권승문|김세영휴머니스트
8안락누리도서관20227개혁하는 사람, 조광조1190301172 97911903011762022조성일시간여행
9안락누리도서관20227소중한 사람을 소중하게 대하는 법 (나를 사랑하고 내 옆의 사람을 사랑할 수 있는 관계 수업)1192248023 97911922480282022윌리엄 V. 피치지식노마드
도서관일시(년)일시(월)도서명ISBN발행년도저자출판사
372안락누리도서관20175하룻밤8958284463 97889582844682016이금이사계절
373안락누리도서관20175마음을 담은 상차림1160940037 97911609400392017김소연사계절
374안락누리도서관20174베티는 너무너무 화가 나!8952234588 97889522345822016스티브 앤터니살림어린이
375안락누리도서관20174꼬끼오, 새날을 열어라8962478102 97889624781052017강성은위즈덤하우스
376안락누리도서관20174원더랜드 (재미와 놀이가 어떻게 세상을 창조했을까)8947541761 97889475417632017스티븐 존슨프런티어
377안락누리도서관20174거리 두기 (세상의 모든 관계에서 나를 지키는 힘)8965703964 97889657039692017임춘성쌤앤파커스
378안락누리도서관20173달이 좋아요 (나명남 그림책)8936455001 97889364550022016나명남창비
379안락누리도서관20173병아리 싸움8983896744 97889838967422016도종환바우솔
380안락누리도서관20173위대한 멈춤 (삶을 바꿀 자유의 시간)893291804X 97889329180442016박승오|홍승완열린책들
381안락누리도서관20173시인의 밥상1160400172 97911604001752016공지영한겨레출판사

Duplicate rows

Most frequently occurring

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