Overview

Dataset statistics

Number of variables32
Number of observations100
Missing cells531
Missing cells (%)16.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.5 KiB
Average record size in memory271.3 B

Variable types

Numeric8
Text7
Categorical12
Boolean3
Unsupported2

Alerts

represent_book_yn has constant value ""Constant
acq_code has constant value ""Constant
class_no_type has constant value ""Constant
set_isbn_change_yn has constant value ""Constant
publish_year is highly imbalanced (80.9%)Imbalance
reg_date is highly imbalanced (62.6%)Imbalance
vol has 83 (83.0%) missing valuesMissing
accomp_mat has 98 (98.0%) missing valuesMissing
ea_add_code has 67 (67.0%) missing valuesMissing
vol_code has 83 (83.0%) missing valuesMissing
copy_code has 100 (100.0%) missing valuesMissing
vol_origin has 100 (100.0%) missing valuesMissing
rec_key has unique valuesUnique
reg_no has unique valuesUnique
copy_code is an unsupported type, check if it needs cleaning or further analysisUnsupported
vol_origin is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:39:55.162035
Analysis finished2023-12-10 09:39:56.625257
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

rec_key
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9297776 × 108
Minimum93168713
Maximum9.7014409 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:39:56.767699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93168713
5-th percentile2.8705158 × 108
Q12.8705167 × 108
median2.8705177 × 108
Q39.7004637 × 108
95-th percentile9.7014342 × 108
Maximum9.7014409 × 108
Range8.7697537 × 108
Interquartile range (IQR)6.829947 × 108

Descriptive statistics

Standard deviation3.2310189 × 108
Coefficient of variation (CV)0.65540865
Kurtosis-1.3188285
Mean4.9297776 × 108
Median Absolute Deviation (MAD)143.5
Skewness0.79414132
Sum4.9297776 × 1010
Variance1.0439483 × 1017
MonotonicityNot monotonic
2023-12-10T18:39:57.321532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
970115441 1
 
1.0%
287051691 1
 
1.0%
287051732 1
 
1.0%
287051728 1
 
1.0%
287051724 1
 
1.0%
287051720 1
 
1.0%
287051715 1
 
1.0%
287051711 1
 
1.0%
287051707 1
 
1.0%
287051703 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93168713 1
1.0%
93168716 1
1.0%
93168719 1
1.0%
287051573 1
1.0%
287051577 1
1.0%
287051581 1
1.0%
287051586 1
1.0%
287051590 1
1.0%
287051594 1
1.0%
287051598 1
1.0%
ValueCountFrequency (%)
970144087 1
1.0%
970143842 1
1.0%
970143772 1
1.0%
970143724 1
1.0%
970143570 1
1.0%
970143415 1
1.0%
970143323 1
1.0%
970143207 1
1.0%
970143034 1
1.0%
970115649 1
1.0%

author
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:39:57.819803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length10.85
Min length2

Characters and Unicode

Total characters1085
Distinct characters255
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)95.0%

Sample

1st row리처드 스미튼 지음;정재호(부자아빠) 편저;김병록 역자
2nd row송언 글 유승하 그림
3rd row고작가,김피디
4th row한강
5th row섀퍼 원작 ;권용찬 글 ;김수지 그림
ValueCountFrequency (%)
감독 58
 
18.9%
지음 17
 
5.5%
그림 9
 
2.9%
옮김 6
 
2.0%
공]감독 6
 
2.0%
글 4
 
1.3%
김병갑 3
 
1.0%
스미스 2
 
0.7%
박현숙 2
 
0.7%
한강 2
 
0.7%
Other values (193) 198
64.5%
2023-12-10T18:39:58.673215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
 
19.3%
감 64
 
5.9%
독 64
 
5.9%
스 33
 
3.0%
지 28
 
2.6%
김 26
 
2.4%
이 22
 
2.0%
음 20
 
1.8%
; 20
 
1.8%
마 13
 
1.2%
Other values (245) 586
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 817
75.3%
Space Separator 209
 
19.3%
Other Punctuation 36
 
3.3%
Open Punctuation 9
 
0.8%
Close Punctuation 9
 
0.8%
Uppercase Letter 4
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
감 64
 
7.8%
독 64
 
7.8%
스 33
 
4.0%
지 28
 
3.4%
김 26
 
3.2%
이 22
 
2.7%
음 20
 
2.4%
마 13
 
1.6%
리 13
 
1.6%
글 12
 
1.5%
Other values (231) 522
63.9%
Other Punctuation
ValueCountFrequency (%)
; 20
55.6%
, 12
33.3%
: 2
 
5.6%
. 1
 
2.8%
· 1
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
A 1
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 8
88.9%
( 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
] 8
88.9%
) 1
 
11.1%
Space Separator
ValueCountFrequency (%)
209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 817
75.3%
Common 264
 
24.3%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
감 64
 
7.8%
독 64
 
7.8%
스 33
 
4.0%
지 28
 
3.4%
김 26
 
3.2%
이 22
 
2.7%
음 20
 
2.4%
마 13
 
1.6%
리 13
 
1.6%
글 12
 
1.5%
Other values (231) 522
63.9%
Common
ValueCountFrequency (%)
209
79.2%
; 20
 
7.6%
, 12
 
4.5%
[ 8
 
3.0%
] 8
 
3.0%
: 2
 
0.8%
( 1
 
0.4%
. 1
 
0.4%
) 1
 
0.4%
· 1
 
0.4%
Latin
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 817
75.3%
ASCII 267
 
24.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
78.3%
; 20
 
7.5%
, 12
 
4.5%
[ 8
 
3.0%
] 8
 
3.0%
S 2
 
0.7%
: 2
 
0.7%
B 1
 
0.4%
( 1
 
0.4%
. 1
 
0.4%
Other values (3) 3
 
1.1%
Hangul
ValueCountFrequency (%)
감 64
 
7.8%
독 64
 
7.8%
스 33
 
4.0%
지 28
 
3.4%
김 26
 
3.2%
이 22
 
2.7%
음 20
 
2.4%
마 13
 
1.6%
리 13
 
1.6%
글 12
 
1.5%
Other values (231) 522
63.9%
None
ValueCountFrequency (%)
· 1
100.0%

vol
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)70.6%
Missing83
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean39.411765
Minimum2
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:39:58.878699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q344
95-th percentile146.8
Maximum278
Range276
Interquartile range (IQR)41

Descriptive statistics

Standard deviation71.067801
Coefficient of variation (CV)1.8032129
Kurtosis8.1487692
Mean39.411765
Median Absolute Deviation (MAD)3
Skewness2.7161763
Sum670
Variance5050.6324
MonotonicityNot monotonic
2023-12-10T18:39:59.054594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4
 
4.0%
4 3
 
3.0%
49 1
 
1.0%
104 1
 
1.0%
3 1
 
1.0%
278 1
 
1.0%
7 1
 
1.0%
40 1
 
1.0%
44 1
 
1.0%
114 1
 
1.0%
Other values (2) 2
 
2.0%
(Missing) 83
83.0%
ValueCountFrequency (%)
2 4
4.0%
3 1
 
1.0%
4 3
3.0%
5 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
40 1
 
1.0%
44 1
 
1.0%
49 1
 
1.0%
104 1
 
1.0%
ValueCountFrequency (%)
278 1
 
1.0%
114 1
 
1.0%
104 1
 
1.0%
49 1
 
1.0%
44 1
 
1.0%
40 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 1
 
1.0%
4 3
3.0%

publish_year
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021
94 
2017
 
2
2020
 
2
[2021]
 
1
2018
 
1

Length

Max length6
Median length4
Mean length4.02
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row2021
2nd row2017
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 94
94.0%
2017 2
 
2.0%
2020 2
 
2.0%
[2021] 1
 
1.0%
2018 1
 
1.0%

Length

2023-12-10T18:39:59.283406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:39:59.491483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 95
95.0%
2017 2
 
2.0%
2020 2
 
2.0%
2018 1
 
1.0%

class_no
Real number (ℝ)

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean653.82138
Minimum1
Maximum998.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:39:59.683782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile324.97045
Q1688.212
median688.242
Q3688.6
95-th percentile818
Maximum998.9
Range997.9
Interquartile range (IQR)0.388

Descriptive statistics

Standard deviation168.78685
Coefficient of variation (CV)0.25815437
Kurtosis2.4602019
Mean653.82138
Median Absolute Deviation (MAD)0.358
Skewness-1.5418481
Sum65382.138
Variance28489
MonotonicityNot monotonic
2023-12-10T18:39:59.898844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
688.6 26
26.0%
688.242 21
21.0%
688.211 7
 
7.0%
813.8 5
 
5.0%
808.9 5
 
5.0%
688.213 3
 
3.0%
327.856 2
 
2.0%
373.4 2
 
2.0%
688.212 2
 
2.0%
813.7 2
 
2.0%
Other values (21) 25
25.0%
ValueCountFrequency (%)
1.0 1
1.0%
181.3 1
1.0%
235.65 1
1.0%
320.4 2
2.0%
325.211 2
2.0%
327.8 1
1.0%
327.856 2
2.0%
327.87 1
1.0%
334.31 1
1.0%
373.4 2
2.0%
ValueCountFrequency (%)
998.9 1
 
1.0%
911.0 1
 
1.0%
859.82 1
 
1.0%
843.6 1
 
1.0%
818.0 2
 
2.0%
813.8 5
5.0%
813.7 2
 
2.0%
813.62 1
 
1.0%
808.9 5
5.0%
740.7 1
 
1.0%

book_code
Text

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:40:00.342867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.36
Min length4

Characters and Unicode

Total characters436
Distinct characters124
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.0%

Sample

1st row스38ㅂ
2nd row작67웅
3rd row고72ㅎ
4th row한12ㅈ
5th row섀894ㅇㄷ
ValueCountFrequency (%)
김44신 3
 
3.0%
한12ㅈ 2
 
2.0%
섀894ㅇㄷ 2
 
2.0%
데895드 1
 
1.0%
폰884파 1
 
1.0%
김66혼 1
 
1.0%
먼295트 1
 
1.0%
봉76기 1
 
1.0%
정54오 1
 
1.0%
말78파 1
 
1.0%
Other values (86) 86
86.0%
2023-12-10T18:40:01.020314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 45
 
10.3%
2 40
 
9.2%
4 30
 
6.9%
7 28
 
6.4%
9 26
 
6.0%
5 25
 
5.7%
6 21
 
4.8%
1 11
 
2.5%
김 9
 
2.1%
3 8
 
1.8%
Other values (114) 193
44.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
53.7%
Other Letter 202
46.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
4.5%
이 7
 
3.5%
ㅈ 7
 
3.5%
스 7
 
3.5%
ㅂ 5
 
2.5%
ㅇ 5
 
2.5%
고 4
 
2.0%
마 4
 
2.0%
아 4
 
2.0%
오 3
 
1.5%
Other values (105) 147
72.8%
Decimal Number
ValueCountFrequency (%)
8 45
19.2%
2 40
17.1%
4 30
12.8%
7 28
12.0%
9 26
11.1%
5 25
10.7%
6 21
9.0%
1 11
 
4.7%
3 8
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 234
53.7%
Hangul 202
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
4.5%
이 7
 
3.5%
ㅈ 7
 
3.5%
스 7
 
3.5%
ㅂ 5
 
2.5%
ㅇ 5
 
2.5%
고 4
 
2.0%
마 4
 
2.0%
아 4
 
2.0%
오 3
 
1.5%
Other values (105) 147
72.8%
Common
ValueCountFrequency (%)
8 45
19.2%
2 40
17.1%
4 30
12.8%
7 28
12.0%
9 26
11.1%
5 25
10.7%
6 21
9.0%
1 11
 
4.7%
3 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
53.7%
Hangul 170
39.0%
Compat Jamo 32
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 45
19.2%
2 40
17.1%
4 30
12.8%
7 28
12.0%
9 26
11.1%
5 25
10.7%
6 21
9.0%
1 11
 
4.7%
3 8
 
3.4%
Hangul
ValueCountFrequency (%)
김 9
 
5.3%
이 7
 
4.1%
스 7
 
4.1%
고 4
 
2.4%
마 4
 
2.4%
아 4
 
2.4%
오 3
 
1.8%
미 3
 
1.8%
맥 3
 
1.8%
한 3
 
1.8%
Other values (94) 123
72.4%
Compat Jamo
ValueCountFrequency (%)
ㅈ 7
21.9%
ㅂ 5
15.6%
ㅇ 5
15.6%
ㄷ 3
9.4%
ㅊ 3
9.4%
ㅅ 3
9.4%
ㄱ 2
 
6.2%
ㅎ 1
 
3.1%
ㅁ 1
 
3.1%
ㅍ 1
 
3.1%

title
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:40:01.782981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length30
Mean length13.09
Min length1

Characters and Unicode

Total characters1309
Distinct characters343
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row부자아빠가 들려주는 제시 리버모어
2nd row수수께끼 소녀 [작은책마을] =
3rd row호모 미련없으니쿠스 :세상의 잡글: 소리에서 벗어나는 법
4th row작별하지 않는다 :한강 장편소설
5th row(만화) 열두 살에 부자가 된 키라
ValueCountFrequency (%)
6
 
1.7%
비밀 4
 
1.2%
신비아파트:고스트 3
 
0.9%
더 3
 
0.9%
내 3
 
0.9%
장편소설 3
 
0.9%
볼의 3
 
0.9%
혼자 2
 
0.6%
몬스터 2
 
0.6%
차일드 2
 
0.6%
Other values (289) 312
91.0%
2023-12-10T18:40:02.739585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
18.8%
: 32
 
2.4%
의 30
 
2.3%
이 30
 
2.3%
스 23
 
1.8%
지 19
 
1.5%
아 18
 
1.4%
라 13
 
1.0%
고 13
 
1.0%
리 13
 
1.0%
Other values (333) 872
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
72.4%
Space Separator 246
 
18.8%
Other Punctuation 48
 
3.7%
Decimal Number 17
 
1.3%
Lowercase Letter 16
 
1.2%
Uppercase Letter 10
 
0.8%
Open Punctuation 9
 
0.7%
Close Punctuation 9
 
0.7%
Math Symbol 4
 
0.3%
Initial Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 30
 
3.2%
이 30
 
3.2%
스 23
 
2.4%
지 19
 
2.0%
아 18
 
1.9%
라 13
 
1.4%
고 13
 
1.4%
리 13
 
1.4%
드 11
 
1.2%
비 11
 
1.2%
Other values (294) 767
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
v 2
12.5%
i 2
12.5%
m 2
12.5%
s 1
 
6.2%
o 1
 
6.2%
h 1
 
6.2%
a 1
 
6.2%
p 1
 
6.2%
d 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 3
17.6%
7 3
17.6%
1 3
17.6%
8 2
11.8%
5 2
11.8%
0 1
 
5.9%
6 1
 
5.9%
9 1
 
5.9%
4 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
40.0%
B 2
20.0%
V 1
 
10.0%
T 1
 
10.0%
E 1
 
10.0%
G 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
: 32
66.7%
, 7
 
14.6%
! 6
 
12.5%
' 2
 
4.2%
& 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 8
88.9%
[ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 8
88.9%
] 1
 
11.1%
Space Separator
ValueCountFrequency (%)
246
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
72.4%
Common 335
 
25.6%
Latin 26
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 30
 
3.2%
이 30
 
3.2%
스 23
 
2.4%
지 19
 
2.0%
아 18
 
1.9%
라 13
 
1.4%
고 13
 
1.4%
리 13
 
1.4%
드 11
 
1.2%
비 11
 
1.2%
Other values (294) 767
80.9%
Common
ValueCountFrequency (%)
246
73.4%
: 32
 
9.6%
( 8
 
2.4%
) 8
 
2.4%
, 7
 
2.1%
! 6
 
1.8%
= 4
 
1.2%
2 3
 
0.9%
7 3
 
0.9%
1 3
 
0.9%
Other values (12) 15
 
4.5%
Latin
ValueCountFrequency (%)
S 4
15.4%
e 3
11.5%
v 2
 
7.7%
B 2
 
7.7%
i 2
 
7.7%
m 2
 
7.7%
s 1
 
3.8%
V 1
 
3.8%
o 1
 
3.8%
h 1
 
3.8%
Other values (7) 7
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
72.4%
ASCII 359
 
27.4%
Punctuation 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
68.5%
: 32
 
8.9%
( 8
 
2.2%
) 8
 
2.2%
, 7
 
1.9%
! 6
 
1.7%
S 4
 
1.1%
= 4
 
1.1%
2 3
 
0.8%
7 3
 
0.8%
Other values (27) 38
 
10.6%
Hangul
ValueCountFrequency (%)
의 30
 
3.2%
이 30
 
3.2%
스 23
 
2.4%
지 19
 
2.0%
아 18
 
1.9%
라 13
 
1.4%
고 13
 
1.4%
리 13
 
1.4%
드 11
 
1.2%
비 11
 
1.2%
Other values (294) 767
80.9%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

lib_code
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1202
66 
306
17 
303
14 
26313
 
3

Length

Max length5
Median length4
Mean length3.72
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row306
2nd row26313
3rd row306
4th row306
5th row306

Common Values

ValueCountFrequency (%)
1202 66
66.0%
306 17
 
17.0%
303 14
 
14.0%
26313 3
 
3.0%

Length

2023-12-10T18:40:02.987662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:03.338738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1202 66
66.0%
306 17
 
17.0%
303 14
 
14.0%
26313 3
 
3.0%

isbn13
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1370046 × 1012
Minimum8.2097365 × 1012
Maximum9.7911971 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:40:03.573130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2097365 × 1012
5-th percentile8.809476 × 1012
Q18.8096816 × 1012
median8.8097365 × 1012
Q39.7889547 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911971 × 1012
Range1.5814606 × 1012
Interquartile range (IQR)9.7927304 × 1011

Descriptive statistics

Standard deviation4.7487349 × 1011
Coefficient of variation (CV)0.051972557
Kurtosis-1.4743974
Mean9.1370046 × 1012
Median Absolute Deviation (MAD)1.1703677 × 108
Skewness0.61530555
Sum9.1370046 × 1014
Variance2.2550483 × 1023
MonotonicityNot monotonic
2023-12-10T18:40:03.825599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788954682152 2
 
2.0%
9791191517125 1
 
1.0%
8809736457803 1
 
1.0%
8809736453447 1
 
1.0%
8809736454406 1
 
1.0%
8809736453904 1
 
1.0%
8809602682445 1
 
1.0%
8809681643528 1
 
1.0%
8809681643474 1
 
1.0%
8809736454949 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
8209736454879 1
1.0%
8809427726768 1
1.0%
8809427726799 1
1.0%
8809427726874 1
1.0%
8809427727413 1
1.0%
8809478551852 1
1.0%
8809478551869 1
1.0%
8809495333455 1
1.0%
8809505728301 1
1.0%
8809505728387 1
1.0%
ValueCountFrequency (%)
9791197104671 1
1.0%
9791191826005 1
1.0%
9791191824001 1
1.0%
9791191766561 1
1.0%
9791191766004 1
1.0%
9791191517125 1
1.0%
9791191183078 1
1.0%
9791190977357 1
1.0%
9791187440796 1
1.0%
9791186296660 1
1.0%

represent_book_yn
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
True
100 
ValueCountFrequency (%)
True 100
100.0%
2023-12-10T18:40:04.031087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

reg_no
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:40:04.356425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1200
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowGCM000004094
2nd rowYL0000010737
3rd rowGCM000004096
4th rowGCM000004097
5th rowGCJ000021445
ValueCountFrequency (%)
gcm000004094 1
 
1.0%
hhd000001393 1
 
1.0%
hhd000001404 1
 
1.0%
hhd000001403 1
 
1.0%
hhd000001402 1
 
1.0%
hhd000001401 1
 
1.0%
hhd000001400 1
 
1.0%
hhd000001399 1
 
1.0%
hhd000001398 1
 
1.0%
hhd000001397 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:40:05.208221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 520
43.3%
H 132
 
11.0%
1 110
 
9.2%
D 80
 
6.7%
4 73
 
6.1%
3 64
 
5.3%
9 31
 
2.6%
5 26
 
2.2%
7 26
 
2.2%
8 21
 
1.8%
Other values (9) 117
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
75.2%
Uppercase Letter 297
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 520
57.6%
1 110
 
12.2%
4 73
 
8.1%
3 64
 
7.1%
9 31
 
3.4%
5 26
 
2.9%
7 26
 
2.9%
8 21
 
2.3%
2 20
 
2.2%
6 12
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
H 132
44.4%
D 80
26.9%
G 17
 
5.7%
C 17
 
5.7%
M 16
 
5.4%
J 15
 
5.1%
O 14
 
4.7%
Y 3
 
1.0%
L 3
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
75.2%
Latin 297
 
24.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 520
57.6%
1 110
 
12.2%
4 73
 
8.1%
3 64
 
7.1%
9 31
 
3.4%
5 26
 
2.9%
7 26
 
2.9%
8 21
 
2.3%
2 20
 
2.2%
6 12
 
1.3%
Latin
ValueCountFrequency (%)
H 132
44.4%
D 80
26.9%
G 17
 
5.7%
C 17
 
5.7%
M 16
 
5.4%
J 15
 
5.1%
O 14
 
4.7%
Y 3
 
1.0%
L 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 520
43.3%
H 132
 
11.0%
1 110
 
9.2%
D 80
 
6.7%
4 73
 
6.1%
3 64
 
5.3%
9 31
 
2.6%
5 26
 
2.2%
7 26
 
2.2%
8 21
 
1.8%
Other values (9) 117
 
9.8%

acq_code
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 100
100.0%

Length

2023-12-10T18:40:05.484207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:05.663648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

manage_code
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
MC
66 
MG
17 
MD
14 
YL
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMG
2nd rowYL
3rd rowMG
4th rowMG
5th rowMG

Common Values

ValueCountFrequency (%)
MC 66
66.0%
MG 17
 
17.0%
MD 14
 
14.0%
YL 3
 
3.0%

Length

2023-12-10T18:40:05.839523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:06.029787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mc 66
66.0%
mg 17
 
17.0%
md 14
 
14.0%
yl 3
 
3.0%

media_code
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
PD
66 
PR
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PD 66
66.0%
PR 34
34.0%

Length

2023-12-10T18:40:06.212437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:06.356799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pd 66
66.0%
pr 34
34.0%

use_limit_code
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
CD
66 
GM
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CD 66
66.0%
GM 34
34.0%

Length

2023-12-10T18:40:06.597361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:06.749230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cd 66
66.0%
gm 34
34.0%

use_object_code
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
PU
77 
JU
12 
<NA>
11 

Length

Max length4
Median length2
Mean length2.22
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPU
2nd rowPU
3rd row<NA>
4th row<NA>
5th rowPU

Common Values

ValueCountFrequency (%)
PU 77
77.0%
JU 12
 
12.0%
<NA> 11
 
11.0%

Length

2023-12-10T18:40:06.932169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:07.109698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pu 77
77.0%
ju 12
 
12.0%
na 11
 
11.0%

accomp_mat
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T18:40:07.279250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters38
Distinct characters16
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowSpecial features 1매
2nd rowSpecial features 2매
ValueCountFrequency (%)
special 2
33.3%
features 2
33.3%
1매 1
16.7%
2매 1
16.7%
2023-12-10T18:40:07.733223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 6
15.8%
a 4
 
10.5%
4
 
10.5%
S 2
 
5.3%
p 2
 
5.3%
c 2
 
5.3%
i 2
 
5.3%
l 2
 
5.3%
f 2
 
5.3%
t 2
 
5.3%
Other values (6) 10
26.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28
73.7%
Space Separator 4
 
10.5%
Uppercase Letter 2
 
5.3%
Other Letter 2
 
5.3%
Decimal Number 2
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6
21.4%
a 4
14.3%
p 2
 
7.1%
c 2
 
7.1%
i 2
 
7.1%
l 2
 
7.1%
f 2
 
7.1%
t 2
 
7.1%
u 2
 
7.1%
r 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
100.0%
Other Letter
ValueCountFrequency (%)
매 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30
78.9%
Common 6
 
15.8%
Hangul 2
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6
20.0%
a 4
13.3%
S 2
 
6.7%
p 2
 
6.7%
c 2
 
6.7%
i 2
 
6.7%
l 2
 
6.7%
f 2
 
6.7%
t 2
 
6.7%
u 2
 
6.7%
Other values (2) 4
13.3%
Common
ValueCountFrequency (%)
4
66.7%
1 1
 
16.7%
2 1
 
16.7%
Hangul
ValueCountFrequency (%)
매 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
94.7%
Hangul 2
 
5.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 6
16.7%
a 4
11.1%
4
11.1%
S 2
 
5.6%
p 2
 
5.6%
c 2
 
5.6%
i 2
 
5.6%
l 2
 
5.6%
f 2
 
5.6%
t 2
 
5.6%
Other values (5) 8
22.2%
Hangul
ValueCountFrequency (%)
매 2
100.0%

ea_isbn
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1370046 × 1012
Minimum8.2097365 × 1012
Maximum9.7911971 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:40:07.966582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2097365 × 1012
5-th percentile8.809476 × 1012
Q18.8096816 × 1012
median8.8097365 × 1012
Q39.7889547 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911971 × 1012
Range1.5814606 × 1012
Interquartile range (IQR)9.7927304 × 1011

Descriptive statistics

Standard deviation4.7487349 × 1011
Coefficient of variation (CV)0.051972557
Kurtosis-1.4743974
Mean9.1370046 × 1012
Median Absolute Deviation (MAD)1.1703677 × 108
Skewness0.61530555
Sum9.1370046 × 1014
Variance2.2550483 × 1023
MonotonicityNot monotonic
2023-12-10T18:40:08.364993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788954682152 2
 
2.0%
9791191517125 1
 
1.0%
8809736457803 1
 
1.0%
8809736453447 1
 
1.0%
8809736454406 1
 
1.0%
8809736453904 1
 
1.0%
8809602682445 1
 
1.0%
8809681643528 1
 
1.0%
8809681643474 1
 
1.0%
8809736454949 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
8209736454879 1
1.0%
8809427726768 1
1.0%
8809427726799 1
1.0%
8809427726874 1
1.0%
8809427727413 1
1.0%
8809478551852 1
1.0%
8809478551869 1
1.0%
8809495333455 1
1.0%
8809505728301 1
1.0%
8809505728387 1
1.0%
ValueCountFrequency (%)
9791197104671 1
1.0%
9791191826005 1
1.0%
9791191824001 1
1.0%
9791191766561 1
1.0%
9791191766004 1
1.0%
9791191517125 1
1.0%
9791191183078 1
1.0%
9791190977357 1
1.0%
9791187440796 1
1.0%
9791186296660 1
1.0%

ea_add_code
Text

MISSING 

Distinct17
Distinct (%)51.5%
Missing67
Missing (%)67.0%
Memory size932.0 B
2023-12-10T18:40:08.673896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0909091
Min length5

Characters and Unicode

Total characters168
Distinct characters10
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

Unique12 ?
Unique (%)36.4%

Sample

1st row03320
2nd row74800:
3rd row03810
4th row03810
5th row74810
ValueCountFrequency (%)
77810 5
15.2%
03320 5
15.2%
03810 5
15.2%
74810 4
12.1%
73810 2
 
6.1%
03740 1
 
3.0%
74840 1
 
3.0%
77840 1
 
3.0%
03890 1
 
3.0%
77900 1
 
3.0%
Other values (7) 7
21.2%
2023-12-10T18:40:09.282600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
31.5%
3 26
15.5%
7 24
14.3%
8 21
 
12.5%
1 20
 
11.9%
4 10
 
6.0%
2 5
 
3.0%
9 5
 
3.0%
: 3
 
1.8%
5 1
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 165
98.2%
Other Punctuation 3
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
32.1%
3 26
15.8%
7 24
14.5%
8 21
 
12.7%
1 20
 
12.1%
4 10
 
6.1%
2 5
 
3.0%
9 5
 
3.0%
5 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
31.5%
3 26
15.5%
7 24
14.3%
8 21
 
12.5%
1 20
 
11.9%
4 10
 
6.0%
2 5
 
3.0%
9 5
 
3.0%
: 3
 
1.8%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
31.5%
3 26
15.5%
7 24
14.3%
8 21
 
12.5%
1 20
 
11.9%
4 10
 
6.0%
2 5
 
3.0%
9 5
 
3.0%
: 3
 
1.8%
5 1
 
0.6%

class_no_type
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 100
100.0%

Length

2023-12-10T18:40:09.499417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:09.649941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

vol_code
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)70.6%
Missing83
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean39.411765
Minimum2
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:40:09.762813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q344
95-th percentile146.8
Maximum278
Range276
Interquartile range (IQR)41

Descriptive statistics

Standard deviation71.067801
Coefficient of variation (CV)1.8032129
Kurtosis8.1487692
Mean39.411765
Median Absolute Deviation (MAD)3
Skewness2.7161763
Sum670
Variance5050.6324
MonotonicityNot monotonic
2023-12-10T18:40:09.922563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4
 
4.0%
4 3
 
3.0%
49 1
 
1.0%
104 1
 
1.0%
3 1
 
1.0%
278 1
 
1.0%
7 1
 
1.0%
40 1
 
1.0%
44 1
 
1.0%
114 1
 
1.0%
Other values (2) 2
 
2.0%
(Missing) 83
83.0%
ValueCountFrequency (%)
2 4
4.0%
3 1
 
1.0%
4 3
3.0%
5 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
40 1
 
1.0%
44 1
 
1.0%
49 1
 
1.0%
104 1
 
1.0%
ValueCountFrequency (%)
278 1
 
1.0%
114 1
 
1.0%
104 1
 
1.0%
49 1
 
1.0%
44 1
 
1.0%
40 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 1
 
1.0%
4 3
3.0%

copy_code
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

reg_date
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021-10-18 12:00:00.0
89 
2021-10-17 12:00:00.0
 
8
2021-11-15 09:56:04.0
 
3

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-10-17 12:00:00.0
2nd row2021-11-15 09:56:04.0
3rd row2021-10-17 12:00:00.0
4th row2021-10-17 12:00:00.0
5th row2021-10-17 12:00:00.0

Common Values

ValueCountFrequency (%)
2021-10-18 12:00:00.0 89
89.0%
2021-10-17 12:00:00.0 8
 
8.0%
2021-11-15 09:56:04.0 3
 
3.0%

Length

2023-12-10T18:40:10.121524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:10.323817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12:00:00.0 97
48.5%
2021-10-18 89
44.5%
2021-10-17 8
 
4.0%
2021-11-15 3
 
1.5%
09:56:04.0 3
 
1.5%

isbn13_origin
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1370046 × 1012
Minimum8.2097365 × 1012
Maximum9.7911971 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:40:10.558838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2097365 × 1012
5-th percentile8.809476 × 1012
Q18.8096816 × 1012
median8.8097365 × 1012
Q39.7889547 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911971 × 1012
Range1.5814606 × 1012
Interquartile range (IQR)9.7927304 × 1011

Descriptive statistics

Standard deviation4.7487349 × 1011
Coefficient of variation (CV)0.051972557
Kurtosis-1.4743974
Mean9.1370046 × 1012
Median Absolute Deviation (MAD)1.1703677 × 108
Skewness0.61530555
Sum9.1370046 × 1014
Variance2.2550483 × 1023
MonotonicityNot monotonic
2023-12-10T18:40:10.882910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788954682152 2
 
2.0%
9791191517125 1
 
1.0%
8809736457803 1
 
1.0%
8809736453447 1
 
1.0%
8809736454406 1
 
1.0%
8809736453904 1
 
1.0%
8809602682445 1
 
1.0%
8809681643528 1
 
1.0%
8809681643474 1
 
1.0%
8809736454949 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
8209736454879 1
1.0%
8809427726768 1
1.0%
8809427726799 1
1.0%
8809427726874 1
1.0%
8809427727413 1
1.0%
8809478551852 1
1.0%
8809478551869 1
1.0%
8809495333455 1
1.0%
8809505728301 1
1.0%
8809505728387 1
1.0%
ValueCountFrequency (%)
9791197104671 1
1.0%
9791191826005 1
1.0%
9791191824001 1
1.0%
9791191766561 1
1.0%
9791191766004 1
1.0%
9791191517125 1
1.0%
9791191183078 1
1.0%
9791190977357 1
1.0%
9791187440796 1
1.0%
9791186296660 1
1.0%

master_lib_code
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1200
66 
300
31 
26300
 
3

Length

Max length5
Median length4
Mean length3.72
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300
2nd row26300
3rd row300
4th row300
5th row300

Common Values

ValueCountFrequency (%)
1200 66
66.0%
300 31
31.0%
26300 3
 
3.0%

Length

2023-12-10T18:40:11.291912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:11.567865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1200 66
66.0%
300 31
31.0%
26300 3
 
3.0%

exist_vol
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
83 
True
17 
ValueCountFrequency (%)
False 83
83.0%
True 17
 
17.0%
2023-12-10T18:40:11.862609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

set_isbn_change_yn
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T18:40:12.547078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

vol_origin
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

replace_title
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:40:12.996677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length9.96
Min length1

Characters and Unicode

Total characters996
Distinct characters327
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st row부자아빠가들려주는제시리버모어
2nd row수수께끼소녀작은책마을
3rd row호모미련없으니쿠스세상의잡글소리에서벗어나는법
4th row작별하지않는다한강장편소설
5th row만화열두살에부자가된키라
ValueCountFrequency (%)
신비아파트고스트볼의비밀 2
 
2.0%
만화열두살에부자가된키라 2
 
2.0%
더프린세스도둑맞은공주 1
 
1.0%
2067 1
 
1.0%
부자아빠가들려주는제시리버모어 1
 
1.0%
호라이즌라인고공재난서바이벌 1
 
1.0%
타이페이카페스토리 1
 
1.0%
혼공코드당신의아이도혼자공부할수있습니다 1
 
1.0%
트롤킹 1
 
1.0%
기생충 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T18:40:13.800726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 30
 
3.0%
의 30
 
3.0%
스 23
 
2.3%
지 19
 
1.9%
아 18
 
1.8%
리 13
 
1.3%
고 13
 
1.3%
라 13
 
1.3%
자 11
 
1.1%
트 11
 
1.1%
Other values (317) 815
81.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 946
95.0%
Lowercase Letter 26
 
2.6%
Decimal Number 17
 
1.7%
Other Punctuation 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 30
 
3.2%
의 30
 
3.2%
스 23
 
2.4%
지 19
 
2.0%
아 18
 
1.9%
리 13
 
1.4%
고 13
 
1.4%
라 13
 
1.4%
자 11
 
1.2%
트 11
 
1.2%
Other values (293) 765
80.9%
Lowercase Letter
ValueCountFrequency (%)
s 5
19.2%
e 4
15.4%
v 3
11.5%
i 2
 
7.7%
b 2
 
7.7%
m 2
 
7.7%
o 1
 
3.8%
h 1
 
3.8%
t 1
 
3.8%
p 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
7 3
17.6%
2 3
17.6%
1 3
17.6%
5 2
11.8%
8 2
11.8%
6 1
 
5.9%
0 1
 
5.9%
9 1
 
5.9%
4 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 946
95.0%
Latin 26
 
2.6%
Common 24
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 30
 
3.2%
의 30
 
3.2%
스 23
 
2.4%
지 19
 
2.0%
아 18
 
1.9%
리 13
 
1.4%
고 13
 
1.4%
라 13
 
1.4%
자 11
 
1.2%
트 11
 
1.2%
Other values (293) 765
80.9%
Latin
ValueCountFrequency (%)
s 5
19.2%
e 4
15.4%
v 3
11.5%
i 2
 
7.7%
b 2
 
7.7%
m 2
 
7.7%
o 1
 
3.8%
h 1
 
3.8%
t 1
 
3.8%
p 1
 
3.8%
Other values (4) 4
15.4%
Common
ValueCountFrequency (%)
, 7
29.2%
7 3
12.5%
2 3
12.5%
1 3
12.5%
5 2
 
8.3%
8 2
 
8.3%
6 1
 
4.2%
0 1
 
4.2%
9 1
 
4.2%
4 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 946
95.0%
ASCII 50
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 30
 
3.2%
의 30
 
3.2%
스 23
 
2.4%
지 19
 
2.0%
아 18
 
1.9%
리 13
 
1.4%
고 13
 
1.4%
라 13
 
1.4%
자 11
 
1.2%
트 11
 
1.2%
Other values (293) 765
80.9%
ASCII
ValueCountFrequency (%)
, 7
14.0%
s 5
 
10.0%
e 4
 
8.0%
7 3
 
6.0%
2 3
 
6.0%
v 3
 
6.0%
1 3
 
6.0%
i 2
 
4.0%
b 2
 
4.0%
5 2
 
4.0%
Other values (14) 16
32.0%

kdc
Real number (ℝ)

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean653.82138
Minimum1
Maximum998.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:40:14.062827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile324.97045
Q1688.212
median688.242
Q3688.6
95-th percentile818
Maximum998.9
Range997.9
Interquartile range (IQR)0.388

Descriptive statistics

Standard deviation168.78685
Coefficient of variation (CV)0.25815437
Kurtosis2.4602019
Mean653.82138
Median Absolute Deviation (MAD)0.358
Skewness-1.5418481
Sum65382.138
Variance28489
MonotonicityNot monotonic
2023-12-10T18:40:14.373929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
688.6 26
26.0%
688.242 21
21.0%
688.211 7
 
7.0%
813.8 5
 
5.0%
808.9 5
 
5.0%
688.213 3
 
3.0%
327.856 2
 
2.0%
373.4 2
 
2.0%
688.212 2
 
2.0%
813.7 2
 
2.0%
Other values (21) 25
25.0%
ValueCountFrequency (%)
1.0 1
1.0%
181.3 1
1.0%
235.65 1
1.0%
320.4 2
2.0%
325.211 2
2.0%
327.8 1
1.0%
327.856 2
2.0%
327.87 1
1.0%
334.31 1
1.0%
373.4 2
2.0%
ValueCountFrequency (%)
998.9 1
 
1.0%
911.0 1
 
1.0%
859.82 1
 
1.0%
843.6 1
 
1.0%
818.0 2
 
2.0%
813.8 5
5.0%
813.7 2
 
2.0%
813.62 1
 
1.0%
808.9 5
5.0%
740.7 1
 
1.0%

separate_shelf_code
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
DV
66 
<NA>
18 
아
11 
유
 
4
C
 
1

Length

Max length4
Median length2
Mean length2.2
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd rowC
3rd row<NA>
4th row<NA>
5th row아

Common Values

ValueCountFrequency (%)
DV 66
66.0%
<NA> 18
 
18.0%
아 11
 
11.0%
유 4
 
4.0%
C 1
 
1.0%

Length

2023-12-10T18:40:14.629991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:14.832407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dv 66
66.0%
na 18
 
18.0%
아 11
 
11.0%
유 4
 
4.0%
c 1
 
1.0%

shelf_loc_code
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
C06
66 
G01
17 
D01
14 
131
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowG01
2nd row131
3rd rowG01
4th rowG01
5th rowG01

Common Values

ValueCountFrequency (%)
C06 66
66.0%
G01 17
 
17.0%
D01 14
 
14.0%
131 3
 
3.0%

Length

2023-12-10T18:40:15.052608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:40:15.256118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c06 66
66.0%
g01 17
 
17.0%
d01 14
 
14.0%
131 3
 
3.0%

Sample

rec_keyauthorvolpublish_yearclass_nobook_codetitlelib_codeisbn13represent_book_ynreg_noacq_codemanage_codemedia_codeuse_limit_codeuse_object_codeaccomp_matea_isbnea_add_codeclass_no_typevol_codecopy_codereg_dateisbn13_originmaster_lib_codeexist_volset_isbn_change_ynvol_originreplace_titlekdcseparate_shelf_codeshelf_loc_code
0970115441리처드 스미튼 지음;정재호(부자아빠) 편저;김병록 역자<NA>2021327.856스38ㅂ부자아빠가 들려주는 제시 리버모어3069791191517125YGCM0000040941MGPRGMPU<NA>9791191517125033201<NA><NA>2021-10-17 12:00:00.09791191517125300NN<NA>부자아빠가들려주는제시리버모어327.856<NA>G01
193168713송언 글 유승하 그림492017813.8작67웅수수께끼 소녀 [작은책마을] =263139788901217277YYL00000107371YLPRGMPU<NA>978890121727774800:149<NA>2021-11-15 09:56:04.0978890121727726300YN<NA>수수께끼소녀작은책마을813.8C131
2970115561고작가,김피디<NA>2021818.0고72ㅎ호모 미련없으니쿠스 :세상의 잡글: 소리에서 벗어나는 법3069791191766004YGCM0000040961MGPRGM<NA><NA>9791191766004038101<NA><NA>2021-10-17 12:00:00.09791191766004300NN<NA>호모미련없으니쿠스세상의잡글소리에서벗어나는법818.0<NA>G01
3970115649한강<NA>2021813.62한12ㅈ작별하지 않는다 :한강 장편소설3069788954682152YGCM0000040971MGPRGM<NA><NA>9788954682152038101<NA><NA>2021-10-17 12:00:00.09788954682152300NN<NA>작별하지않는다한강장편소설813.62<NA>G01
4970112844섀퍼 원작 ;권용찬 글 ;김수지 그림22021320.4섀894ㅇㄷ(만화) 열두 살에 부자가 된 키라3069788950993214YGCJ0000214451MGPRGMPU<NA>97889509932147481012<NA>2021-10-17 12:00:00.09788950993214300YN<NA>만화열두살에부자가된키라320.4아G01
5970114246이사벨 미뇨스 마르틴스 글;베르나르두 카르발류 그림;최금좌 옮김<NA>2021998.9마297ㅈ지도 밖의 탐험가3069791191766561YGCJ0000214491MGPRGMJU<NA>9791191766561779001<NA><NA>2021-10-17 12:00:00.09791191766561300NN<NA>지도밖의탐험가998.9아G01
6970114291이재문 지음;김지인 그림1042021808.9사14ㅅ몬스터 차일드3069791160947540YGCJ0000214501MGPRGMPU<NA>9791160947540748101104<NA>2021-10-17 12:00:00.09791160947540300YN<NA>몬스터차일드808.9아G01
793168716요 네스뵈 지음 김승욱 옮김<NA>2021859.82네57킹킹덤 = : 요 네스뵈 장편소설263139788934980216YYL00000107381YLPRGMPU<NA>978893498021603890:1<NA><NA>2021-11-15 09:56:04.0978893498021626300NN<NA>킹덤요네스뵈장편소설859.82<NA>131
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9970113188잭 메기트 -필립스 글;이사벨 폴라트 그림;김선희 옮김22021843.6필298ㅂ베서니와 괴물의 복수3069791130641003YGCJ0000214471MGPRGMJU<NA>97911306410037484012<NA>2021-10-17 12:00:00.09791130641003300YN<NA>베서니와괴물의복수843.6아G01
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90287051871강성옥 감독22021235.65강54울울지마 톤즈12028809736455908YHHD0000014381MCPDCDPU<NA>8809736455908<NA>12<NA>2021-10-18 12:00:00.088097364559081200YN<NA>울지마톤즈235.65DVC06
91287051876팀 스토리 감독<NA>[2021]688.6스885톰톰과 제리:The movie12028809769300367YHHD0000014391MCPDCDPU<NA>8809769300367<NA>1<NA><NA>2021-10-18 12:00:00.088097693003671200NN<NA>톰과제리themovie688.6DVC06
92287051880돈 홀,까를로스 로페즈 에스트라다 [공]감독<NA>2021688.6홀25라라야와 마지막 드래곤12028809505728387YHHD0000014401MCPDCDPU<NA>8809505728387<NA>1<NA><NA>2021-10-18 12:00:00.088095057283871200NN<NA>라야와마지막드래곤688.6DVC06
93287051884클로드 바라스 감독<NA>2021688.6바292내내 이름은 꾸제트:전 세계가 사랑한 소년12028809736455472YHHD0000014411MCPDCDPU<NA>8809736455472<NA>1<NA><NA>2021-10-18 12:00:00.088097364554721200NN<NA>내이름은꾸제트전세계가사랑한소년688.6DVC06
94287051888리차드 펠런,윌 베처 [공]감독<NA>2021688.6펠294숀숀더쉽 더 무비:꼬마 외계인 룰라!12028809681643337YHHD0000014421MCPDCDPU<NA>8809681643337<NA>1<NA><NA>2021-10-18 12:00:00.088096816433371200NN<NA>숀더쉽더무비꼬마외계인룰라688.6DVC06
95287051893콜린 브래디,크리스토퍼 리브,댄 세인트 피에르 [공]감독<NA>2021688.6브293리리틀 야구왕 앤디12028809736457292YHHD0000014431MCPDCDPU<NA>8809736457292<NA>1<NA><NA>2021-10-18 12:00:00.088097364572921200NN<NA>리틀야구왕앤디688.6DVC06
96287051899라스무스 A. 실버르센 감독<NA>2021688.6실44고고릴라와 슈퍼레이스12028809681643252YHHD0000014441MCPDCDPU<NA>8809681643252<NA>1<NA><NA>2021-10-18 12:00:00.088096816432521200NN<NA>고릴라와슈퍼레이스688.6DVC06
97287051903아나톨리 보로디치 감독<NA>2021688.6보295스스카이와 친구들:로보시티의 비밀12028809681643344YHHD0000014451MCPDCDPU<NA>8809681643344<NA>1<NA><NA>2021-10-18 12:00:00.088096816433441200NN<NA>스카이와친구들로보시티의비밀688.6DVC06
98287051907바시코 베도슈빌리,이반 프숀킨,안드레이 콜핀 [공]감독<NA>2018688.6베25픽픽시:탑 시크릿12028809736457346YHHD0000014461MCPDCDPU<NA>8809736457346<NA>1<NA><NA>2021-10-18 12:00:00.088097364573461200NN<NA>픽시탑시크릿688.6DVC06
99287051911매니 코토 감독<NA>2021688.242코885스스타키드12028809736457568YHHD0000014471MCPDCDPU<NA>8809736457568<NA>1<NA><NA>2021-10-18 12:00:00.088097364575681200NN<NA>스타키드688.242DVC06