Overview

Dataset statistics

Number of variables10
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory86.6 B

Variable types

Numeric2
Text5
Categorical3

Dataset

Description월 2회 이용자에게 신청도서를 받아 제공하는 서비스
Author경상북도교육청 경상북도립안동도서관
URLhttps://www.data.go.kr/data/3069681/fileData.do

Alerts

비고 has constant value ""Constant
책수 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 책수 High correlation
순번 has unique valuesUnique
서명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:48:31.661464
Analysis finished2023-12-12 02:48:32.862460
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T11:48:32.949929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-12T11:48:33.100503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

서명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T11:48:33.457756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length11.891892
Min length3

Characters and Unicode

Total characters440
Distinct characters201
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

Unique37 ?
Unique (%)100.0%

Sample

1st row까르르 깔깔
2nd row나쁜 친구
3rd row다빈치 리졸브 12.5
4th row두근두근 걱정 대장
5th row멘탈 트레이닝
ValueCountFrequency (%)
나쁜 2
 
1.7%
펀드 2
 
1.7%
윈터 2
 
1.7%
까르르 1
 
0.9%
봉사왕 1
 
0.9%
거네 1
 
0.9%
말을 1
 
0.9%
내게 1
 
0.9%
다시 1
 
0.9%
사랑이 1
 
0.9%
Other values (104) 104
88.9%
2023-12-12T11:48:33.957188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
18.4%
다 9
 
2.0%
이 8
 
1.8%
리 8
 
1.8%
는 8
 
1.8%
아 7
 
1.6%
의 7
 
1.6%
하 6
 
1.4%
을 5
 
1.1%
지 4
 
0.9%
Other values (191) 297
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
70.7%
Space Separator 81
 
18.4%
Lowercase Letter 29
 
6.6%
Uppercase Letter 9
 
2.0%
Decimal Number 6
 
1.4%
Other Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 9
 
2.9%
이 8
 
2.6%
리 8
 
2.6%
는 8
 
2.6%
아 7
 
2.3%
의 7
 
2.3%
하 6
 
1.9%
을 5
 
1.6%
지 4
 
1.3%
마 4
 
1.3%
Other values (161) 245
78.8%
Lowercase Letter
ValueCountFrequency (%)
r 4
13.8%
n 4
13.8%
i 3
10.3%
u 3
10.3%
t 3
10.3%
h 2
 
6.9%
e 2
 
6.9%
p 1
 
3.4%
g 1
 
3.4%
c 1
 
3.4%
Other values (5) 5
17.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
I 1
11.1%
X 1
11.1%
P 1
11.1%
F 1
11.1%
B 1
11.1%
Z 1
11.1%
D 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 2
33.3%
5 1
16.7%
3 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
70.7%
Common 91
 
20.7%
Latin 38
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 9
 
2.9%
이 8
 
2.6%
리 8
 
2.6%
는 8
 
2.6%
아 7
 
2.3%
의 7
 
2.3%
하 6
 
1.9%
을 5
 
1.6%
지 4
 
1.3%
마 4
 
1.3%
Other values (161) 245
78.8%
Latin
ValueCountFrequency (%)
r 4
 
10.5%
n 4
 
10.5%
i 3
 
7.9%
u 3
 
7.9%
t 3
 
7.9%
h 2
 
5.3%
e 2
 
5.3%
C 2
 
5.3%
I 1
 
2.6%
p 1
 
2.6%
Other values (13) 13
34.2%
Common
ValueCountFrequency (%)
81
89.0%
, 2
 
2.2%
1 2
 
2.2%
2 2
 
2.2%
. 2
 
2.2%
5 1
 
1.1%
3 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
70.7%
ASCII 129
29.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
62.8%
r 4
 
3.1%
n 4
 
3.1%
i 3
 
2.3%
u 3
 
2.3%
t 3
 
2.3%
h 2
 
1.6%
, 2
 
1.6%
1 2
 
1.6%
2 2
 
1.6%
Other values (20) 23
 
17.8%
Hangul
ValueCountFrequency (%)
다 9
 
2.9%
이 8
 
2.6%
리 8
 
2.6%
는 8
 
2.6%
아 7
 
2.3%
의 7
 
2.3%
하 6
 
1.9%
을 5
 
1.6%
지 4
 
1.3%
마 4
 
1.3%
Other values (161) 245
78.8%

저자
Text

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T11:48:34.238659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length5.2702703
Min length2

Characters and Unicode

Total characters195
Distinct characters117
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

Unique35 ?
Unique (%)94.6%

Sample

1st row이상교
2nd row앙꼬
3rd row이용태
4th row우미옥
5th row김시현
ValueCountFrequency (%)
마리사 2
 
3.6%
안드레아스 2
 
3.6%
마이어 2
 
3.6%
송두율 1
 
1.8%
류근 1
 
1.8%
앙꼬 1
 
1.8%
양지숙 1
 
1.8%
장 1
 
1.8%
뤽 1
 
1.8%
낭시 1
 
1.8%
Other values (42) 42
76.4%
2023-12-12T11:48:34.635643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
9.7%
리 8
 
4.1%
이 7
 
3.6%
김 6
 
3.1%
마 5
 
2.6%
정 5
 
2.6%
아 5
 
2.6%
스 4
 
2.1%
레 4
 
2.1%
지 3
 
1.5%
Other values (107) 129
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
82.1%
Space Separator 19
 
9.7%
Lowercase Letter 11
 
5.6%
Uppercase Letter 4
 
2.1%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 8
 
5.0%
이 7
 
4.4%
김 6
 
3.8%
마 5
 
3.1%
정 5
 
3.1%
아 5
 
3.1%
스 4
 
2.5%
레 4
 
2.5%
지 3
 
1.9%
드 3
 
1.9%
Other values (92) 110
68.8%
Lowercase Letter
ValueCountFrequency (%)
a 2
18.2%
i 2
18.2%
v 1
9.1%
e 1
9.1%
t 1
9.1%
r 1
9.1%
z 1
9.1%
d 1
9.1%
n 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
S 1
25.0%
E 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
82.1%
Common 20
 
10.3%
Latin 15
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 8
 
5.0%
이 7
 
4.4%
김 6
 
3.8%
마 5
 
3.1%
정 5
 
3.1%
아 5
 
3.1%
스 4
 
2.5%
레 4
 
2.5%
지 3
 
1.9%
드 3
 
1.9%
Other values (92) 110
68.8%
Latin
ValueCountFrequency (%)
a 2
13.3%
i 2
13.3%
M 1
 
6.7%
v 1
 
6.7%
e 1
 
6.7%
t 1
 
6.7%
S 1
 
6.7%
r 1
 
6.7%
z 1
 
6.7%
E 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
19
95.0%
. 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
82.1%
ASCII 35
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
54.3%
a 2
 
5.7%
i 2
 
5.7%
M 1
 
2.9%
v 1
 
2.9%
e 1
 
2.9%
t 1
 
2.9%
S 1
 
2.9%
r 1
 
2.9%
z 1
 
2.9%
Other values (5) 5
 
14.3%
Hangul
ValueCountFrequency (%)
리 8
 
5.0%
이 7
 
4.4%
김 6
 
3.8%
마 5
 
3.1%
정 5
 
3.1%
아 5
 
3.1%
스 4
 
2.5%
레 4
 
2.5%
지 3
 
1.9%
드 3
 
1.9%
Other values (92) 110
68.8%

발행자
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T11:48:34.845024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.2702703
Min length1

Characters and Unicode

Total characters158
Distinct characters89
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

Unique31 ?
Unique (%)83.8%

Sample

1st row미세기
2nd row창비
3rd row힐북디자인랩
4th row비룡소
5th row갈라북스
ValueCountFrequency (%)
북로드 2
 
5.4%
북폴리오 2
 
5.4%
이레미디어 2
 
5.4%
미세기 1
 
2.7%
곰 1
 
2.7%
갈무리 1
 
2.7%
책글터 1
 
2.7%
현문사 1
 
2.7%
필름(feelm 1
 
2.7%
위닝북스 1
 
2.7%
Other values (24) 24
64.9%
2023-12-12T11:48:35.225812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
북 10
 
6.3%
이 7
 
4.4%
스 7
 
4.4%
디 6
 
3.8%
리 6
 
3.8%
미 4
 
2.5%
에 4
 
2.5%
로 3
 
1.9%
다 3
 
1.9%
출 3
 
1.9%
Other values (79) 105
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
89.9%
Uppercase Letter 6
 
3.8%
Lowercase Letter 4
 
2.5%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%
Other Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 10
 
7.0%
이 7
 
4.9%
스 7
 
4.9%
디 6
 
4.2%
리 6
 
4.2%
미 4
 
2.8%
에 4
 
2.8%
로 3
 
2.1%
다 3
 
2.1%
출 3
 
2.1%
Other values (66) 89
62.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
O 1
16.7%
J 1
16.7%
E 1
16.7%
N 1
16.7%
F 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
l 1
25.0%
m 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
89.9%
Latin 10
 
6.3%
Common 6
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 10
 
7.0%
이 7
 
4.9%
스 7
 
4.9%
디 6
 
4.2%
리 6
 
4.2%
미 4
 
2.8%
에 4
 
2.8%
로 3
 
2.1%
다 3
 
2.1%
출 3
 
2.1%
Other values (66) 89
62.7%
Latin
ValueCountFrequency (%)
e 2
20.0%
G 1
10.0%
O 1
10.0%
J 1
10.0%
E 1
10.0%
N 1
10.0%
F 1
10.0%
l 1
10.0%
m 1
10.0%
Common
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
? 1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
89.9%
ASCII 16
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
북 10
 
7.0%
이 7
 
4.9%
스 7
 
4.9%
디 6
 
4.2%
리 6
 
4.2%
미 4
 
2.8%
에 4
 
2.8%
로 3
 
2.1%
다 3
 
2.1%
출 3
 
2.1%
Other values (66) 89
62.7%
ASCII
ValueCountFrequency (%)
( 2
12.5%
) 2
12.5%
e 2
12.5%
G 1
 
6.2%
O 1
 
6.2%
J 1
 
6.2%
E 1
 
6.2%
N 1
 
6.2%
F 1
 
6.2%
l 1
 
6.2%
Other values (3) 3
18.8%

발행년
Real number (ℝ)

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.4595
Minimum2012
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-12T11:48:35.385273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012.8
Q12015
median2016
Q32017
95-th percentile2017
Maximum2017
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5201351
Coefficient of variation (CV)0.00075423751
Kurtosis-0.16278241
Mean2015.4595
Median Absolute Deviation (MAD)1
Skewness-0.89660645
Sum74572
Variance2.3108108
MonotonicityNot monotonic
2023-12-12T11:48:35.524181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2016 11
29.7%
2017 11
29.7%
2015 7
18.9%
2013 4
 
10.8%
2012 2
 
5.4%
2014 2
 
5.4%
ValueCountFrequency (%)
2012 2
 
5.4%
2013 4
 
10.8%
2014 2
 
5.4%
2015 7
18.9%
2016 11
29.7%
2017 11
29.7%
ValueCountFrequency (%)
2017 11
29.7%
2016 11
29.7%
2015 7
18.9%
2014 2
 
5.4%
2013 4
 
10.8%
2012 2
 
5.4%

단가(원)
Text

Distinct22
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T11:48:35.736029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9189189
Min length5

Characters and Unicode

Total characters219
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)35.1%

Sample

1st row9,800
2nd row13,000
3rd row30,000
4th row9,000
5th row11,000
ValueCountFrequency (%)
13,800 5
13.5%
14,000 4
 
10.8%
14,800 3
 
8.1%
18,000 2
 
5.4%
11,000 2
 
5.4%
25,000 2
 
5.4%
15,000 2
 
5.4%
13,000 2
 
5.4%
16,000 2
 
5.4%
10,000 1
 
2.7%
Other values (12) 12
32.4%
2023-12-12T11:48:36.064179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 102
46.6%
, 37
 
16.9%
1 29
 
13.2%
8 12
 
5.5%
4 10
 
4.6%
3 8
 
3.7%
2 7
 
3.2%
5 7
 
3.2%
6 3
 
1.4%
9 2
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
83.1%
Other Punctuation 37
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
56.0%
1 29
 
15.9%
8 12
 
6.6%
4 10
 
5.5%
3 8
 
4.4%
2 7
 
3.8%
5 7
 
3.8%
6 3
 
1.6%
9 2
 
1.1%
7 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 102
46.6%
, 37
 
16.9%
1 29
 
13.2%
8 12
 
5.5%
4 10
 
4.6%
3 8
 
3.7%
2 7
 
3.2%
5 7
 
3.2%
6 3
 
1.4%
9 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 102
46.6%
, 37
 
16.9%
1 29
 
13.2%
8 12
 
5.5%
4 10
 
4.6%
3 8
 
3.7%
2 7
 
3.2%
5 7
 
3.2%
6 3
 
1.4%
9 2
 
0.9%

책수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
22 
2
11 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 22
59.5%
2 11
29.7%
3 4
 
10.8%

Length

2023-12-12T11:48:36.193542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:36.286972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
59.5%
2 11
29.7%
3 4
 
10.8%

금액(원)
Text

Distinct21
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-12T11:48:36.425304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters222
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)27.0%

Sample

1st row29,400
2nd row26,000
3rd row30,000
4th row27,000
5th row11,000
ValueCountFrequency (%)
27,600 5
13.5%
15,000 3
 
8.1%
26,000 3
 
8.1%
11,000 2
 
5.4%
30,000 2
 
5.4%
14,000 2
 
5.4%
18,000 2
 
5.4%
16,000 2
 
5.4%
14,800 2
 
5.4%
28,000 2
 
5.4%
Other values (11) 12
32.4%
2023-12-12T11:48:36.772803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
46.4%
, 37
 
16.7%
2 18
 
8.1%
1 18
 
8.1%
6 12
 
5.4%
4 8
 
3.6%
7 7
 
3.2%
5 7
 
3.2%
8 7
 
3.2%
3 3
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 185
83.3%
Other Punctuation 37
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
55.7%
2 18
 
9.7%
1 18
 
9.7%
6 12
 
6.5%
4 8
 
4.3%
7 7
 
3.8%
5 7
 
3.8%
8 7
 
3.8%
3 3
 
1.6%
9 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 103
46.4%
, 37
 
16.7%
2 18
 
8.1%
1 18
 
8.1%
6 12
 
5.4%
4 8
 
3.6%
7 7
 
3.2%
5 7
 
3.2%
8 7
 
3.2%
3 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
46.4%
, 37
 
16.7%
2 18
 
8.1%
1 18
 
8.1%
6 12
 
5.4%
4 8
 
3.6%
7 7
 
3.2%
5 7
 
3.2%
8 7
 
3.2%
3 3
 
1.4%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
희망도서
37 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
희망도서 37
100.0%

Length

2023-12-12T11:48:36.927232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:37.027960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
희망도서 37
100.0%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
일반도서
32 
아동도서
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아동도서
2nd row일반도서
3rd row일반도서
4th row아동도서
5th row일반도서

Common Values

ValueCountFrequency (%)
일반도서 32
86.5%
아동도서 5
 
13.5%

Length

2023-12-12T11:48:37.125168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:48:37.236778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반도서 32
86.5%
아동도서 5
 
13.5%

Interactions

2023-12-12T11:48:32.433488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:48:32.212875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:48:32.539332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:48:32.337544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:48:37.320351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번서명저자발행자발행년단가(원)책수금액(원)구분
순번1.0001.0000.9390.7520.2430.6960.5300.7730.235
서명1.0001.0001.0001.0001.0001.0001.0001.0001.000
저자0.9391.0001.0001.0001.0001.0001.0001.0001.000
발행자0.7521.0001.0001.0000.9430.9731.0000.9711.000
발행년0.2431.0001.0000.9431.0000.5840.3100.5390.000
단가(원)0.6961.0001.0000.9730.5841.0000.9450.9900.907
책수0.5301.0001.0001.0000.3100.9451.0000.9640.607
금액(원)0.7731.0001.0000.9710.5390.9900.9641.0000.777
구분0.2351.0001.0001.0000.0000.9070.6070.7771.000
2023-12-12T11:48:37.444683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분책수
구분1.0000.863
책수0.8631.000
2023-12-12T11:48:37.547697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년책수구분
순번1.0000.1020.3510.135
발행년0.1021.0000.1660.000
책수0.3510.1661.0000.863
구분0.1350.0000.8631.000

Missing values

2023-12-12T11:48:32.658883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:48:32.801579image/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

순번서명저자발행자발행년단가(원)책수금액(원)비고구분
01까르르 깔깔이상교미세기20159,800329,400희망도서아동도서
12나쁜 친구앙꼬창비201213,000226,000희망도서일반도서
23다빈치 리졸브 12.5이용태힐북디자인랩201630,000130,000희망도서일반도서
34두근두근 걱정 대장우미옥비룡소20159,000327,000희망도서아동도서
45멘탈 트레이닝김시현갈라북스201511,000111,000희망도서일반도서
56비디오 코덱과 영상 포맷김도훈커뮤니케이션?201725,000125,000희망도서일반도서
67정말 쉬운 식재료 보관법오쿠무라 아야오애플비20167,500215,000희망도서일반도서
78정영헌의 Final Cut Pro X 마스터하기정영헌디지털북스201545,000145,000희망도서일반도서
89좋은 펀드 나쁜 펀드신관수이레미디어201614,500114,500희망도서일반도서
910거지왕올리퍼 푀치문예출판사201414,000228,000희망도서일반도서
순번서명저자발행자발행년단가(원)책수금액(원)비고구분
2728사랑이 다시 내게 말을 거네류근곰201313,800227,600희망도서일반도서
2829우리 엄마는 바지 위에 팬티를 입어요김수정책고래201712,000336,000희망도서아동도서
2930돈이란 무엇인가앙드레 코스톨라니이레미디어201615,000115,000희망도서일반도서
3031세뇨리따 꼬레아유하령나남201714,800114,800희망도서일반도서
3132예방접종이 오히려 병을 부른다안드레아스 모리츠에디터201714,800114,800희망도서일반도서
3233색연필로 그리는 보태니컬 아트이해련이종(EJONG)201426,000126,000희망도서일반도서
3334플렉서블 씽킹마티아스 피셰디크지식너머201714,000114,000희망도서일반도서
3435Interrupting ChickenDavid Ezra Stein문진미디어201314,000114,000희망도서아동도서
3536불타는 얼음송두율후마니타스201718,000118,000희망도서일반도서
3637불평등이 노년의 삶을 어떻게 형성하는가코리 M. 에이브럼슨에코리브로201518,000118,000희망도서일반도서