Overview

Dataset statistics

Number of variables9
Number of observations3895
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory281.6 KiB
Average record size in memory74.0 B

Variable types

Numeric1
Categorical6
Text2

Dataset

Description송파구립도서관 전자책 보유 목록(도서관명,구분코드,형식,도서명,출판사,대분류,중분류,도서관홈페이지url)
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15112642/fileData.do

Alerts

도서관명 has constant value ""Constant
도서관구분코드 has constant value ""Constant
형식 has constant value ""Constant
도서관홈페이지url has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:49:18.649288
Analysis finished2023-12-12 05:49:20.031556
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3895
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1948
Minimum1
Maximum3895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.4 KiB
2023-12-12T14:49:20.120802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile195.7
Q1974.5
median1948
Q32921.5
95-th percentile3700.3
Maximum3895
Range3894
Interquartile range (IQR)1947

Descriptive statistics

Standard deviation1124.534
Coefficient of variation (CV)0.57727617
Kurtosis-1.2
Mean1948
Median Absolute Deviation (MAD)974
Skewness0
Sum7587460
Variance1264576.7
MonotonicityStrictly increasing
2023-12-12T14:49:20.305086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2618 1
 
< 0.1%
2590 1
 
< 0.1%
2591 1
 
< 0.1%
2592 1
 
< 0.1%
2593 1
 
< 0.1%
2594 1
 
< 0.1%
2595 1
 
< 0.1%
2596 1
 
< 0.1%
2597 1
 
< 0.1%
Other values (3885) 3885
99.7%
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 (%)
3895 1
< 0.1%
3894 1
< 0.1%
3893 1
< 0.1%
3892 1
< 0.1%
3891 1
< 0.1%
3890 1
< 0.1%
3889 1
< 0.1%
3888 1
< 0.1%
3887 1
< 0.1%
3886 1
< 0.1%

도서관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
송파구통합도서관
3895 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파구통합도서관 3895
100.0%

Length

2023-12-12T14:49:20.513288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:20.691232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송파구통합도서관 3895
100.0%

도서관구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
111435
3895 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row111435
2nd row111435
3rd row111435
4th row111435
5th row111435

Common Values

ValueCountFrequency (%)
111435 3895
100.0%

Length

2023-12-12T14:49:20.796237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:20.896556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
111435 3895
100.0%

형식
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
전자책
3895 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자책 3895
100.0%

Length

2023-12-12T14:49:20.999129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:21.123875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자책 3895
100.0%

제목
Text

Distinct3872
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
2023-12-12T14:49:21.557528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length51
Mean length13.706547
Min length1

Characters and Unicode

Total characters53387
Distinct characters1130
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3849 ?
Unique (%)98.8%

Sample

1st row보통의 노을
2nd row우리가 사랑한 내일들
3rd row내가 죽기를 바라는 자들
4th row소크라테스 익스프레스
5th row공간의 미래 : 코로나가 가속화시킨 공간 변화
ValueCountFrequency (%)
237
 
1.7%
the 124
 
0.9%
2 110
 
0.8%
1 105
 
0.7%
클래식 89
 
0.6%
나는 73
 
0.5%
이야기 69
 
0.5%
펭귄 69
 
0.5%
내 63
 
0.4%
삼국지 52
 
0.4%
Other values (7384) 13212
93.0%
2023-12-12T14:49:22.266939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10308
 
19.3%
이 1114
 
2.1%
의 943
 
1.8%
는 812
 
1.5%
아 611
 
1.1%
기 584
 
1.1%
다 577
 
1.1%
리 546
 
1.0%
지 518
 
1.0%
가 498
 
0.9%
Other values (1120) 36876
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35812
67.1%
Space Separator 10308
 
19.3%
Lowercase Letter 2605
 
4.9%
Decimal Number 1896
 
3.6%
Uppercase Letter 822
 
1.5%
Other Punctuation 723
 
1.4%
Close Punctuation 467
 
0.9%
Open Punctuation 465
 
0.9%
Dash Punctuation 203
 
0.4%
Connector Punctuation 26
 
< 0.1%
Other values (6) 60
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1114
 
3.1%
의 943
 
2.6%
는 812
 
2.3%
아 611
 
1.7%
기 584
 
1.6%
다 577
 
1.6%
리 546
 
1.5%
지 518
 
1.4%
가 498
 
1.4%
사 467
 
1.3%
Other values (1025) 29142
81.4%
Lowercase Letter
ValueCountFrequency (%)
e 388
14.9%
o 251
9.6%
h 209
 
8.0%
a 207
 
7.9%
t 207
 
7.9%
n 183
 
7.0%
r 177
 
6.8%
i 159
 
6.1%
l 119
 
4.6%
s 108
 
4.1%
Other values (16) 597
22.9%
Uppercase Letter
ValueCountFrequency (%)
T 148
18.0%
R 52
 
6.3%
E 50
 
6.1%
P 45
 
5.5%
A 45
 
5.5%
O 43
 
5.2%
S 40
 
4.9%
H 38
 
4.6%
B 36
 
4.4%
C 35
 
4.3%
Other values (16) 290
35.3%
Other Punctuation
ValueCountFrequency (%)
, 230
31.8%
. 160
22.1%
: 140
19.4%
? 75
 
10.4%
! 72
 
10.0%
′ 11
 
1.5%
% 9
 
1.2%
' 9
 
1.2%
· 7
 
1.0%
& 4
 
0.6%
Other values (3) 6
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 469
24.7%
2 398
21.0%
0 313
16.5%
3 200
10.5%
5 131
 
6.9%
4 119
 
6.3%
9 74
 
3.9%
6 68
 
3.6%
7 63
 
3.3%
8 61
 
3.2%
Other Number
ValueCountFrequency (%)
① 10
40.0%
② 10
40.0%
③ 4
 
16.0%
④ 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 410
87.8%
] 53
 
11.3%
》 4
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 408
87.7%
[ 53
 
11.4%
《 4
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 16
76.2%
+ 5
 
23.8%
Final Punctuation
ValueCountFrequency (%)
” 3
75.0%
’ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
10308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 3
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35783
67.0%
Common 14148
 
26.5%
Latin 3427
 
6.4%
Han 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1114
 
3.1%
의 943
 
2.6%
는 812
 
2.3%
아 611
 
1.7%
기 584
 
1.6%
다 577
 
1.6%
리 546
 
1.5%
지 518
 
1.4%
가 498
 
1.4%
사 467
 
1.3%
Other values (1002) 29113
81.4%
Latin
ValueCountFrequency (%)
e 388
 
11.3%
o 251
 
7.3%
h 209
 
6.1%
a 207
 
6.0%
t 207
 
6.0%
n 183
 
5.3%
r 177
 
5.2%
i 159
 
4.6%
T 148
 
4.3%
l 119
 
3.5%
Other values (42) 1379
40.2%
Common
ValueCountFrequency (%)
10308
72.9%
1 469
 
3.3%
) 410
 
2.9%
( 408
 
2.9%
2 398
 
2.8%
0 313
 
2.2%
, 230
 
1.6%
- 203
 
1.4%
3 200
 
1.4%
. 160
 
1.1%
Other values (33) 1049
 
7.4%
Han
ValueCountFrequency (%)
上 2
 
6.9%
下 2
 
6.9%
不 2
 
6.9%
視 2
 
6.9%
見 2
 
6.9%
而 2
 
6.9%
越 1
 
3.4%
境 1
 
3.4%
新 1
 
3.4%
讀 1
 
3.4%
Other values (13) 13
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35783
67.0%
ASCII 17512
32.8%
Enclosed Alphanum 25
 
< 0.1%
CJK 25
 
< 0.1%
Punctuation 21
 
< 0.1%
None 16
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10308
58.9%
1 469
 
2.7%
) 410
 
2.3%
( 408
 
2.3%
2 398
 
2.3%
e 388
 
2.2%
0 313
 
1.8%
o 251
 
1.4%
, 230
 
1.3%
h 209
 
1.2%
Other values (71) 4128
23.6%
Hangul
ValueCountFrequency (%)
이 1114
 
3.1%
의 943
 
2.6%
는 812
 
2.3%
아 611
 
1.7%
기 584
 
1.6%
다 577
 
1.6%
리 546
 
1.5%
지 518
 
1.4%
가 498
 
1.4%
사 467
 
1.3%
Other values (1002) 29113
81.4%
Punctuation
ValueCountFrequency (%)
′ 11
52.4%
“ 3
 
14.3%
” 3
 
14.3%
… 3
 
14.3%
’ 1
 
4.8%
Enclosed Alphanum
ValueCountFrequency (%)
① 10
40.0%
② 10
40.0%
③ 4
 
16.0%
④ 1
 
4.0%
None
ValueCountFrequency (%)
· 7
43.8%
》 4
25.0%
《 4
25.0%
％ 1
 
6.2%
CJK
ValueCountFrequency (%)
上 2
 
8.0%
下 2
 
8.0%
視 2
 
8.0%
見 2
 
8.0%
而 2
 
8.0%
越 1
 
4.0%
境 1
 
4.0%
新 1
 
4.0%
讀 1
 
4.0%
書 1
 
4.0%
Other values (10) 10
40.0%
CJK Compat Ideographs
ValueCountFrequency (%)
不 2
50.0%
爐 1
25.0%
樂 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

출판사
Text

Distinct731
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
2023-12-12T14:49:22.528483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length4.4272144
Min length1

Characters and Unicode

Total characters17244
Distinct characters490
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

Unique297 ?
Unique (%)7.6%

Sample

1st row자음과모음
2nd row한겨레출판
3rd row다락원
4th row어크로스
5th row을유문화사
ValueCountFrequency (%)
부키 556
 
13.7%
컴펜 237
 
5.8%
펭귄클래식(penguin 74
 
1.8%
classics 74
 
1.8%
위즈덤하우스 62
 
1.5%
21세기북스 50
 
1.2%
청어 48
 
1.2%
그림책 47
 
1.2%
문학동네 46
 
1.1%
해성e＆p 44
 
1.1%
Other values (733) 2817
69.5%
2023-12-12T14:49:22.925388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 846
 
4.9%
북 591
 
3.4%
키 582
 
3.4%
부 567
 
3.3%
이 374
 
2.2%
리 260
 
1.5%
사 255
 
1.5%
컴 251
 
1.5%
s 248
 
1.4%
펜 237
 
1.4%
Other values (480) 13033
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14478
84.0%
Lowercase Letter 1371
 
8.0%
Uppercase Letter 699
 
4.1%
Space Separator 160
 
0.9%
Open Punctuation 153
 
0.9%
Close Punctuation 153
 
0.9%
Decimal Number 147
 
0.9%
Other Punctuation 76
 
0.4%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 846
 
5.8%
북 591
 
4.1%
키 582
 
4.0%
부 567
 
3.9%
이 374
 
2.6%
리 260
 
1.8%
사 255
 
1.8%
컴 251
 
1.7%
펜 237
 
1.6%
아 231
 
1.6%
Other values (422) 10284
71.0%
Uppercase Letter
ValueCountFrequency (%)
P 127
18.2%
O 95
13.6%
C 79
11.3%
B 78
11.2%
E 57
8.2%
K 50
 
7.2%
S 50
 
7.2%
L 31
 
4.4%
I 30
 
4.3%
M 25
 
3.6%
Other values (13) 77
11.0%
Lowercase Letter
ValueCountFrequency (%)
s 248
18.1%
i 169
12.3%
n 163
11.9%
e 133
9.7%
a 101
7.4%
l 93
 
6.8%
o 81
 
5.9%
u 80
 
5.8%
g 76
 
5.5%
c 74
 
5.4%
Other values (12) 153
11.2%
Decimal Number
ValueCountFrequency (%)
2 66
44.9%
1 62
42.2%
3 9
 
6.1%
0 9
 
6.1%
4 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
＆ 44
57.9%
/ 12
 
15.8%
. 11
 
14.5%
& 9
 
11.8%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14478
84.0%
Latin 2070
 
12.0%
Common 696
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 846
 
5.8%
북 591
 
4.1%
키 582
 
4.0%
부 567
 
3.9%
이 374
 
2.6%
리 260
 
1.8%
사 255
 
1.8%
컴 251
 
1.7%
펜 237
 
1.6%
아 231
 
1.6%
Other values (422) 10284
71.0%
Latin
ValueCountFrequency (%)
s 248
 
12.0%
i 169
 
8.2%
n 163
 
7.9%
e 133
 
6.4%
P 127
 
6.1%
a 101
 
4.9%
O 95
 
4.6%
l 93
 
4.5%
o 81
 
3.9%
u 80
 
3.9%
Other values (35) 780
37.7%
Common
ValueCountFrequency (%)
160
23.0%
( 153
22.0%
) 153
22.0%
2 66
9.5%
1 62
 
8.9%
＆ 44
 
6.3%
/ 12
 
1.7%
. 11
 
1.6%
3 9
 
1.3%
& 9
 
1.3%
Other values (3) 17
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14478
84.0%
ASCII 2722
 
15.8%
None 44
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 846
 
5.8%
북 591
 
4.1%
키 582
 
4.0%
부 567
 
3.9%
이 374
 
2.6%
리 260
 
1.8%
사 255
 
1.8%
컴 251
 
1.7%
펜 237
 
1.6%
아 231
 
1.6%
Other values (422) 10284
71.0%
ASCII
ValueCountFrequency (%)
s 248
 
9.1%
i 169
 
6.2%
n 163
 
6.0%
160
 
5.9%
( 153
 
5.6%
) 153
 
5.6%
e 133
 
4.9%
P 127
 
4.7%
a 101
 
3.7%
O 95
 
3.5%
Other values (47) 1220
44.8%
None
ValueCountFrequency (%)
＆ 44
100.0%

대분류
Categorical

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
어린이/청소년
1433 
문학
823 
가정과생활
449 
인문/사회
362 
자기관리
303 
Other values (9)
525 

Length

Max length7
Median length6
Mean length5.181258
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row어린이/청소년
2nd row문학
3rd row문학
4th row인문/사회
5th row인문/사회

Common Values

ValueCountFrequency (%)
어린이/청소년 1433
36.8%
문학 823
21.1%
가정과생활 449
 
11.5%
인문/사회 362
 
9.3%
자기관리 303
 
7.8%
비즈니스와경제 197
 
5.1%
국어와외국어 114
 
2.9%
예술/대중문화 85
 
2.2%
자연과과학 64
 
1.6%
장르문학 46
 
1.2%
Other values (4) 19
 
0.5%

Length

2023-12-12T14:49:23.103522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이/청소년 1433
36.8%
문학 823
21.1%
가정과생활 449
 
11.5%
인문/사회 362
 
9.3%
자기관리 303
 
7.8%
비즈니스와경제 197
 
5.1%
국어와외국어 114
 
2.9%
예술/대중문화 85
 
2.2%
자연과과학 64
 
1.6%
장르문학 46
 
1.2%
Other values (4) 19
 
0.5%

중분류
Categorical

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
인문/사회
2168 
역사/종교
931 
에세이/산문
331 
경제
264 
경영
 
54
Other values (8)
 
147

Length

Max length9
Median length5
Mean length4.8682927
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경제
2nd row에세이/산문
3rd row인문/사회
4th row인문/사회
5th row인문/사회

Common Values

ValueCountFrequency (%)
인문/사회 2168
55.7%
역사/종교 931
23.9%
에세이/산문 331
 
8.5%
경제 264
 
6.8%
경영 54
 
1.4%
투자/재테크 39
 
1.0%
남성 29
 
0.7%
마케팅/세일즈 21
 
0.5%
CEO/비즈니스맨 19
 
0.5%
디자인/캐릭터 17
 
0.4%
Other values (3) 22
 
0.6%

Length

2023-12-12T14:49:23.253632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인문/사회 2168
55.7%
역사/종교 931
23.9%
에세이/산문 331
 
8.5%
경제 264
 
6.8%
경영 54
 
1.4%
투자/재테크 39
 
1.0%
남성 29
 
0.7%
마케팅/세일즈 21
 
0.5%
ceo/비즈니스맨 19
 
0.5%
디자인/캐릭터 17
 
0.4%
Other values (3) 22
 
0.6%

도서관홈페이지url
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.6 KiB
https://www.splib.or.kr/intro/index.do
3895 

Length

Max length38
Median length38
Mean length38
Min length38

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.splib.or.kr/intro/index.do
2nd rowhttps://www.splib.or.kr/intro/index.do
3rd rowhttps://www.splib.or.kr/intro/index.do
4th rowhttps://www.splib.or.kr/intro/index.do
5th rowhttps://www.splib.or.kr/intro/index.do

Common Values

ValueCountFrequency (%)
https://www.splib.or.kr/intro/index.do 3895
100.0%

Length

2023-12-12T14:49:23.369466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:49:23.465933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.splib.or.kr/intro/index.do 3895
100.0%

Interactions

2023-12-12T14:49:19.630218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:49:23.533844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대분류중분류
번호1.0000.5390.387
대분류0.5391.0000.753
중분류0.3870.7531.000
2023-12-12T14:49:23.622036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류
대분류1.0000.391
중분류0.3911.000
2023-12-12T14:49:23.716094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대분류중분류
번호1.0000.2510.171
대분류0.2511.0000.391
중분류0.1710.3911.000

Missing values

2023-12-12T14:49:19.798700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:49:19.964658image/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

번호도서관명도서관구분코드형식제목출판사대분류중분류도서관홈페이지url
01송파구통합도서관111435전자책보통의 노을자음과모음어린이/청소년경제https://www.splib.or.kr/intro/index.do
12송파구통합도서관111435전자책우리가 사랑한 내일들한겨레출판문학에세이/산문https://www.splib.or.kr/intro/index.do
23송파구통합도서관111435전자책내가 죽기를 바라는 자들다락원문학인문/사회https://www.splib.or.kr/intro/index.do
34송파구통합도서관111435전자책소크라테스 익스프레스어크로스인문/사회인문/사회https://www.splib.or.kr/intro/index.do
45송파구통합도서관111435전자책공간의 미래 : 코로나가 가속화시킨 공간 변화을유문화사인문/사회인문/사회https://www.splib.or.kr/intro/index.do
56송파구통합도서관111435전자책오래 머금고 뱉는 말빌리버튼문학에세이/산문https://www.splib.or.kr/intro/index.do
67송파구통합도서관111435전자책강원국의 어른답게 말합니다 : 품격 있는 삶을 위한 최소한의 말공부웅진지식하우스자기관리인문/사회https://www.splib.or.kr/intro/index.do
78송파구통합도서관111435전자책따님이 기가 세요 : 유쾌한 여자 둘의 비혼 라이프포르체문학에세이/산문https://www.splib.or.kr/intro/index.do
89송파구통합도서관111435전자책금요일의 괴담회북오션문학인문/사회https://www.splib.or.kr/intro/index.do
910송파구통합도서관111435전자책부의 시나리오 : 불확실성을 기회로 만드는 4가지 투자전략페이지2비즈니스와경제투자/재테크https://www.splib.or.kr/intro/index.do
번호도서관명도서관구분코드형식제목출판사대분류중분류도서관홈페이지url
38853886송파구통합도서관111435전자책신이 내린 사랑인사이트브리즈문학인문/사회https://www.splib.or.kr/intro/index.do
38863887송파구통합도서관111435전자책우리 이제 소셜쿠킹할까라제떼가정과생활인문/사회https://www.splib.or.kr/intro/index.do
38873888송파구통합도서관111435전자책이화득의 유럽 자동차 여행 : 당신이 처음 유럽에서 만나는 모든 것에 관한 해결사황금열쇠가정과생활역사/종교https://www.splib.or.kr/intro/index.do
38883889송파구통합도서관111435전자책두 다리는 두 명의 의사다도서출판 행복에너지가정과생활인문/사회https://www.splib.or.kr/intro/index.do
38893890송파구통합도서관111435전자책절대영감 : 내 안에 잠들어 있는 후천적 천재지능지은북스자기관리역사/종교https://www.splib.or.kr/intro/index.do
38903891송파구통합도서관111435전자책나는 나답게 살기로 했다스튜디오오드리인문/사회인문/사회https://www.splib.or.kr/intro/index.do
38913892송파구통합도서관111435전자책질서 너머웅진지식하우스인문/사회인문/사회https://www.splib.or.kr/intro/index.do
38923893송파구통합도서관111435전자책싱크 어게인 : 모르는 것을 아는 힘한국경제신문사(한경비피)비즈니스와경제CEO/비즈니스맨https://www.splib.or.kr/intro/index.do
38933894송파구통합도서관111435전자책왜 일하는가 : 지금 당신이 가장 뜨겁게 물어야 할 첫 번째 질문다산북스비즈니스와경제경영https://www.splib.or.kr/intro/index.do
38943895송파구통합도서관111435전자책기묘한 러브레터다산책방문학인문/사회https://www.splib.or.kr/intro/index.do