Overview

Dataset statistics

Number of variables9
Number of observations140
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory76.9 B

Variable types

Categorical2
Numeric4
Text3

Dataset

Description인천서구구립도서관 사서의 서재 도서 목록을 제공합니다. (계층, 주제별 연번, 주제, 서명, 저자, 출판사, 발행년, 가격, 국제표준도서번호)
Author인천광역시서구시설관리공단
URLhttps://www.data.go.kr/data/15126755/fileData.do

Alerts

주제 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
계층 is highly overall correlated with 주제High correlation
연번 is highly overall correlated with 주제High correlation
서명 has unique valuesUnique
국제표준도서번호(ISBN) has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:10:50.437449
Analysis finished2024-03-14 18:10:56.056178
Duration5.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계층
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유아
35 
아동
35 
청소년
35 
일반
35 

Length

Max length3
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유아 35
25.0%
아동 35
25.0%
청소년 35
25.0%
일반 35
25.0%

Length

2024-03-15T03:10:56.280062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:10:56.743321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유아 35
25.0%
아동 35
25.0%
청소년 35
25.0%
일반 35
25.0%

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:10:57.064626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median18
Q327
95-th percentile34
Maximum35
Range34
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.135769
Coefficient of variation (CV)0.56309828
Kurtosis-1.2019057
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum2520
Variance102.73381
MonotonicityNot monotonic
2024-03-15T03:10:57.355027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 4
 
2.9%
2 4
 
2.9%
21 4
 
2.9%
22 4
 
2.9%
23 4
 
2.9%
24 4
 
2.9%
25 4
 
2.9%
26 4
 
2.9%
27 4
 
2.9%
28 4
 
2.9%
Other values (25) 100
71.4%
ValueCountFrequency (%)
1 4
2.9%
2 4
2.9%
3 4
2.9%
4 4
2.9%
5 4
2.9%
6 4
2.9%
7 4
2.9%
8 4
2.9%
9 4
2.9%
10 4
2.9%
ValueCountFrequency (%)
35 4
2.9%
34 4
2.9%
33 4
2.9%
32 4
2.9%
31 4
2.9%
30 4
2.9%
29 4
2.9%
28 4
2.9%
27 4
2.9%
26 4
2.9%

주제
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
내가 정말 좋아하는 것
 
7
상상하고, 탐구하고
 
7
환경 감수성 더하기
 
7
바른 마음, 바른 인성
 
7
꿈나라로 떠나는 방법
 
7
Other values (15)
105 

Length

Max length18
Median length14
Mean length12.75
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내가 정말 좋아하는 것
2nd row내가 정말 좋아하는 것
3rd row내가 정말 좋아하는 것
4th row내가 정말 좋아하는 것
5th row내가 정말 좋아하는 것

Common Values

ValueCountFrequency (%)
내가 정말 좋아하는 것 7
 
5.0%
상상하고, 탐구하고 7
 
5.0%
환경 감수성 더하기 7
 
5.0%
바른 마음, 바른 인성 7
 
5.0%
꿈나라로 떠나는 방법 7
 
5.0%
유연한 사고, 자라는 배려 7
 
5.0%
안과 밖 모두 나로 살기 7
 
5.0%
지금 우리 학교에서는 7
 
5.0%
G(지)구를 G(지)켜라 7
 
5.0%
눈을 돌려 밖을 보기 7
 
5.0%
Other values (10) 70
50.0%

Length

2024-03-15T03:10:57.924808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
바른 14
 
2.7%
나를 14
 
2.7%
아닌 7
 
1.4%
빛나게 7
 
1.4%
취향은 7
 
1.4%
내 7
 
1.4%
소중한 7
 
1.4%
자체로 7
 
1.4%
그 7
 
1.4%
내가 7
 
1.4%
Other values (62) 434
83.8%

서명
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T03:10:59.385862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length11.9
Min length2

Characters and Unicode

Total characters1666
Distinct characters373
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)100.0%

Sample

1st row나는 나예요
2nd row남자아이 여자아이
3rd row내가 좋아하는 것
4th row아델은 이상해
5th row오늘은 네 차례야
ValueCountFrequency (%)
나는 4
 
0.8%
위한 4
 
0.8%
철학 3
 
0.6%
이상한 3
 
0.6%
우리 3
 
0.6%
내 3
 
0.6%
거야 3
 
0.6%
우리는 3
 
0.6%
있다 3
 
0.6%
내가 3
 
0.6%
Other values (422) 453
93.4%
2024-03-15T03:11:01.208884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
21.0%
이 40
 
2.4%
는 30
 
1.8%
의 29
 
1.7%
지 26
 
1.6%
아 26
 
1.6%
나 23
 
1.4%
가 23
 
1.4%
어 22
 
1.3%
기 19
 
1.1%
Other values (363) 1078
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1252
75.2%
Space Separator 350
 
21.0%
Other Punctuation 41
 
2.5%
Uppercase Letter 8
 
0.5%
Lowercase Letter 7
 
0.4%
Decimal Number 6
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 40
 
3.2%
는 30
 
2.4%
의 29
 
2.3%
지 26
 
2.1%
아 26
 
2.1%
나 23
 
1.8%
가 23
 
1.8%
어 22
 
1.8%
기 19
 
1.5%
리 18
 
1.4%
Other values (343) 996
79.6%
Lowercase Letter
ValueCountFrequency (%)
g 1
14.3%
n 1
14.3%
i 1
14.3%
h 1
14.3%
y 1
14.3%
o 1
14.3%
t 1
14.3%
Other Punctuation
ValueCountFrequency (%)
? 14
34.1%
! 14
34.1%
, 11
26.8%
… 1
 
2.4%
: 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
50.0%
N 3
37.5%
W 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
0 3
50.0%
Space Separator
ValueCountFrequency (%)
350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1252
75.2%
Common 399
 
23.9%
Latin 15
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 40
 
3.2%
는 30
 
2.4%
의 29
 
2.3%
지 26
 
2.1%
아 26
 
2.1%
나 23
 
1.8%
가 23
 
1.8%
어 22
 
1.8%
기 19
 
1.5%
리 18
 
1.4%
Other values (343) 996
79.6%
Common
ValueCountFrequency (%)
350
87.7%
? 14
 
3.5%
! 14
 
3.5%
, 11
 
2.8%
1 3
 
0.8%
0 3
 
0.8%
( 1
 
0.3%
) 1
 
0.3%
… 1
 
0.3%
: 1
 
0.3%
Latin
ValueCountFrequency (%)
S 4
26.7%
N 3
20.0%
g 1
 
6.7%
n 1
 
6.7%
i 1
 
6.7%
W 1
 
6.7%
h 1
 
6.7%
y 1
 
6.7%
o 1
 
6.7%
t 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1252
75.2%
ASCII 413
 
24.8%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
84.7%
? 14
 
3.4%
! 14
 
3.4%
, 11
 
2.7%
S 4
 
1.0%
N 3
 
0.7%
1 3
 
0.7%
0 3
 
0.7%
( 1
 
0.2%
) 1
 
0.2%
Other values (9) 9
 
2.2%
Hangul
ValueCountFrequency (%)
이 40
 
3.2%
는 30
 
2.4%
의 29
 
2.3%
지 26
 
2.1%
아 26
 
2.1%
나 23
 
1.8%
가 23
 
1.8%
어 22
 
1.8%
기 19
 
1.5%
리 18
 
1.4%
Other values (343) 996
79.6%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

저자
Text

Distinct134
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T03:11:02.727325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.3714286
Min length2

Characters and Unicode

Total characters612
Distinct characters187
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)92.1%

Sample

1st row수전 베르데
2nd row조아나 에스트렐라
3rd row수지 린
4th row베랑제르 마리예
5th row맥 바넷
ValueCountFrequency (%)
외 7
 
3.5%
맥 3
 
1.5%
바넷 3
 
1.5%
허윤 2
 
1.0%
오승현 2
 
1.0%
박현숙 2
 
1.0%
신은영 2
 
1.0%
클라크 2
 
1.0%
김정현 1
 
0.5%
하먼 1
 
0.5%
Other values (175) 175
87.5%
2024-03-15T03:11:04.568994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
10.0%
김 20
 
3.3%
지 16
 
2.6%
이 16
 
2.6%
리 14
 
2.3%
현 11
 
1.8%
박 11
 
1.8%
라 11
 
1.8%
영 11
 
1.8%
스 10
 
1.6%
Other values (177) 431
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
89.1%
Space Separator 61
 
10.0%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 20
 
3.7%
지 16
 
2.9%
이 16
 
2.9%
리 14
 
2.6%
현 11
 
2.0%
박 11
 
2.0%
라 11
 
2.0%
영 11
 
2.0%
스 10
 
1.8%
은 9
 
1.7%
Other values (171) 416
76.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
m 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
89.1%
Common 63
 
10.3%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 20
 
3.7%
지 16
 
2.9%
이 16
 
2.9%
리 14
 
2.6%
현 11
 
2.0%
박 11
 
2.0%
라 11
 
2.0%
영 11
 
2.0%
스 10
 
1.8%
은 9
 
1.7%
Other values (171) 416
76.3%
Latin
ValueCountFrequency (%)
T 1
25.0%
o 1
25.0%
m 1
25.0%
y 1
25.0%
Common
ValueCountFrequency (%)
61
96.8%
, 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
89.1%
ASCII 67
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
91.0%
, 2
 
3.0%
T 1
 
1.5%
o 1
 
1.5%
m 1
 
1.5%
y 1
 
1.5%
Hangul
ValueCountFrequency (%)
김 20
 
3.7%
지 16
 
2.9%
이 16
 
2.9%
리 14
 
2.6%
현 11
 
2.0%
박 11
 
2.0%
라 11
 
2.0%
영 11
 
2.0%
스 10
 
1.8%
은 9
 
1.7%
Other values (171) 416
76.3%

출판사
Text

Distinct102
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T03:11:05.819767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.2357143
Min length2

Characters and Unicode

Total characters593
Distinct characters196
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)55.7%

Sample

1st row위즈덤하우스
2nd row그림책공작소
3rd row키즈엠
4th row그린북
5th row보물창고
ValueCountFrequency (%)
자음과모음 5
 
3.6%
위즈덤하우스 4
 
2.9%
우리학교 4
 
2.9%
시공주니어 3
 
2.1%
문학동네 3
 
2.1%
서유재 3
 
2.1%
내일을여는책 3
 
2.1%
창비 3
 
2.1%
키즈엠 3
 
2.1%
국민서관 3
 
2.1%
Other values (92) 106
75.7%
2024-03-15T03:11:07.794489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 18
 
3.0%
어 17
 
2.9%
이 13
 
2.2%
니 13
 
2.2%
우 13
 
2.2%
주 12
 
2.0%
리 11
 
1.9%
서 10
 
1.7%
사 10
 
1.7%
음 10
 
1.7%
Other values (186) 466
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
95.8%
Uppercase Letter 11
 
1.9%
Lowercase Letter 8
 
1.3%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 18
 
3.2%
어 17
 
3.0%
이 13
 
2.3%
니 13
 
2.3%
우 13
 
2.3%
주 12
 
2.1%
리 11
 
1.9%
서 10
 
1.8%
사 10
 
1.8%
음 10
 
1.8%
Other values (175) 441
77.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
O 3
27.3%
F 2
18.2%
I 1
 
9.1%
K 1
 
9.1%
B 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
m 2
25.0%
l 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
95.8%
Latin 19
 
3.2%
Common 6
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 18
 
3.2%
어 17
 
3.0%
이 13
 
2.3%
니 13
 
2.3%
우 13
 
2.3%
주 12
 
2.1%
리 11
 
1.9%
서 10
 
1.8%
사 10
 
1.8%
음 10
 
1.8%
Other values (175) 441
77.6%
Latin
ValueCountFrequency (%)
e 4
21.1%
S 3
15.8%
O 3
15.8%
m 2
10.5%
F 2
10.5%
l 2
10.5%
I 1
 
5.3%
K 1
 
5.3%
B 1
 
5.3%
Common
ValueCountFrequency (%)
) 3
50.0%
( 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
95.8%
ASCII 25
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 18
 
3.2%
어 17
 
3.0%
이 13
 
2.3%
니 13
 
2.3%
우 13
 
2.3%
주 12
 
2.1%
리 11
 
1.9%
서 10
 
1.8%
사 10
 
1.8%
음 10
 
1.8%
Other values (175) 441
77.6%
ASCII
ValueCountFrequency (%)
e 4
16.0%
S 3
12.0%
O 3
12.0%
) 3
12.0%
( 3
12.0%
m 2
8.0%
F 2
8.0%
l 2
8.0%
I 1
 
4.0%
K 1
 
4.0%

발행년
Real number (ℝ)

Distinct7
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.7857
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:11:08.197923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2019
Q12022
median2022
Q32022
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1616517
Coefficient of variation (CV)0.00057456719
Kurtosis2.9507908
Mean2021.7857
Median Absolute Deviation (MAD)0
Skewness-1.5832058
Sum283050
Variance1.3494347
MonotonicityNot monotonic
2024-03-15T03:11:08.566592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2022 72
51.4%
2023 34
24.3%
2021 17
 
12.1%
2020 8
 
5.7%
2019 6
 
4.3%
2018 2
 
1.4%
2017 1
 
0.7%
ValueCountFrequency (%)
2017 1
 
0.7%
2018 2
 
1.4%
2019 6
 
4.3%
2020 8
 
5.7%
2021 17
 
12.1%
2022 72
51.4%
2023 34
24.3%
ValueCountFrequency (%)
2023 34
24.3%
2022 72
51.4%
2021 17
 
12.1%
2020 8
 
5.7%
2019 6
 
4.3%
2018 2
 
1.4%
2017 1
 
0.7%

가격
Real number (ℝ)

Distinct25
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14165
Minimum10800
Maximum22000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:11:08.865295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10800
5-th percentile12000
Q113000
median14000
Q315000
95-th percentile17515
Maximum22000
Range11200
Interquartile range (IQR)2000

Descriptive statistics

Standard deviation1961.9006
Coefficient of variation (CV)0.1385034
Kurtosis1.4222918
Mean14165
Median Absolute Deviation (MAD)1000
Skewness0.99550371
Sum1983100
Variance3849054
MonotonicityNot monotonic
2024-03-15T03:11:09.222421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13000 28
20.0%
14000 23
16.4%
12000 22
15.7%
15000 19
13.6%
16800 7
 
5.0%
16000 6
 
4.3%
13500 4
 
2.9%
17000 4
 
2.9%
14500 3
 
2.1%
15800 3
 
2.1%
Other values (15) 21
15.0%
ValueCountFrequency (%)
10800 1
 
0.7%
11000 3
 
2.1%
11500 1
 
0.7%
12000 22
15.7%
12500 2
 
1.4%
13000 28
20.0%
13500 4
 
2.9%
13800 3
 
2.1%
14000 23
16.4%
14500 3
 
2.1%
ValueCountFrequency (%)
22000 1
 
0.7%
20000 1
 
0.7%
19500 1
 
0.7%
18800 1
 
0.7%
18500 1
 
0.7%
18000 1
 
0.7%
17800 1
 
0.7%
17500 1
 
0.7%
17000 4
2.9%
16800 7
5.0%

국제표준도서번호(ISBN)
Real number (ℝ)

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7904147 × 1012
Minimum9.7889012 × 1012
Maximum9.7911979 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:11:09.626831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7889012 × 1012
5-th percentile9.7889249 × 1012
Q19.7889623 × 1012
median9.7911657 × 1012
Q39.7911903 × 1012
95-th percentile9.7911974 × 1012
Maximum9.7911979 × 1012
Range2.2966972 × 109
Interquartile range (IQR)2.2279955 × 109

Descriptive statistics

Standard deviation1.0631235 × 109
Coefficient of variation (CV)0.0001085882
Kurtosis-1.5731196
Mean9.7904147 × 1012
Median Absolute Deviation (MAD)25655512
Skewness-0.66950068
Sum1.3706581 × 1015
Variance1.1302316 × 1018
MonotonicityNot monotonic
2024-03-15T03:11:09.878865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9791192655093 1
 
0.7%
9791189034566 1
 
0.7%
9791168122871 1
 
0.7%
9791140704699 1
 
0.7%
9788954448727 1
 
0.7%
9788936453244 1
 
0.7%
9791197626791 1
 
0.7%
9788932375809 1
 
0.7%
9791197626722 1
 
0.7%
9788972970736 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
9788901226477 1
0.7%
9788901252148 1
0.7%
9788901260778 1
0.7%
9788901273556 1
0.7%
9788911127283 1
0.7%
9788911128846 1
0.7%
9788911129058 1
0.7%
9788925576961 1
0.7%
9788925577463 1
0.7%
9788927105886 1
0.7%
ValueCountFrequency (%)
9791197923630 1
0.7%
9791197825996 1
0.7%
9791197729706 1
0.7%
9791197626791 1
0.7%
9791197626722 1
0.7%
9791197453373 1
0.7%
9791197413025 1
0.7%
9791197350511 1
0.7%
9791197101175 1
0.7%
9791193063040 1
0.7%

Interactions

2024-03-15T03:10:53.871405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:51.230923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:52.268564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:53.205565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:54.128300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:51.492912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:52.593871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:53.362358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:54.431717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:51.758776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:52.803705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:53.522486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:54.689790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:52.014202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:52.968818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:10:53.664095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:11:10.043234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계층연번주제발행년가격국제표준도서번호(ISBN)
계층1.0000.0001.0000.4350.4540.023
연번0.0001.0000.9300.1520.1250.000
주제1.0000.9301.0000.4720.5140.000
발행년0.4350.1520.4721.0000.1750.076
가격0.4540.1250.5140.1751.0000.000
국제표준도서번호(ISBN)0.0230.0000.0000.0760.0001.000
2024-03-15T03:11:10.249864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주제계층
주제1.0000.939
계층0.9391.000
2024-03-15T03:11:10.511808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년가격국제표준도서번호(ISBN)계층주제
연번1.0000.078-0.032-0.0960.0000.574
발행년0.0781.0000.3350.1140.2910.204
가격-0.0320.3351.0000.1820.2710.172
국제표준도서번호(ISBN)-0.0960.1140.1821.0000.0450.000
계층0.0000.2910.2710.0451.0000.939
주제0.5740.2040.1720.0000.9391.000

Missing values

2024-03-15T03:10:55.064537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:10:55.893302image/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

계층연번주제서명저자출판사발행년가격국제표준도서번호(ISBN)
0유아1내가 정말 좋아하는 것나는 나예요수전 베르데위즈덤하우스2023150009791192655093
1유아2내가 정말 좋아하는 것남자아이 여자아이조아나 에스트렐라그림책공작소2021140009791186825280
2유아3내가 정말 좋아하는 것내가 좋아하는 것수지 린키즈엠2022120009791164633470
3유아4내가 정말 좋아하는 것아델은 이상해베랑제르 마리예그린북2020130009788955889512
4유아5내가 정말 좋아하는 것오늘은 네 차례야맥 바넷보물창고2023160009788961708999
5유아6내가 정말 좋아하는 것일부러 기르고 있으니까최현주대교북스주니어2021130009788939572119
6유아7내가 정말 좋아하는 것할머니의 비밀스러운 취미 생활오하나웅진주니어2018120009788901226477
7유아8상상하고, 탐구하고난 신기하고 이상한 것이 참 좋아!나카가와 히로타카길벗어린이2017120009788955824223
8유아9상상하고, 탐구하고망원경은 타임머신이야강지혜키즈엠2022130009791164633807
9유아10상상하고, 탐구하고백만 개의 점이 만든 기적스벤 볼커시원주니어2020125009791161503684
계층연번주제서명저자출판사발행년가격국제표준도서번호(ISBN)
130일반26여행 떠나고싶은 오후, 책 속으로오리도 날고 우리도 날고김명진행복우물2022165009791191384208
131일반27여행 떠나고싶은 오후, 책 속으로조금 긴 여행을 했었어박재현미구출판사2021165009791197350511
132일반28여행 떠나고싶은 오후, 책 속으로혼배낭권현숙헤르몬하우스2023195009791192520537
133일반29가장 가깝고도 어려운 나의 가족가장 질긴 족쇄, 가장 지긋지긋한 족속, 가족류현재자음과모음2022138009788954448253
134일반30가장 가깝고도 어려운 나의 가족가족이라는 착각이호선유노라이프2022170009791191104448
135일반31가장 가깝고도 어려운 나의 가족남편을 버려야 내가 산다박우란유노라이프2021150009791191104189
136일반32가장 가깝고도 어려운 나의 가족모녀의 세계김지윤은행나무2021150009791167370945
137일반33가장 가깝고도 어려운 나의 가족밝은 밤최은영문학동네2021145009788954681179
138일반34가장 가깝고도 어려운 나의 가족아버지의 해방일지정지아창비2022150009788936438838
139일반35가장 가깝고도 어려운 나의 가족요산요수김지서고즈넉이엔티2022150009791163163282