Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory79.3 B

Variable types

Categorical2
Numeric4
Text3

Alerts

anals_trget_year has constant value ""Constant
anals_trget_mt has constant value ""Constant
lon_resve_book_rank_co is highly overall correlated with resve_coHigh correlation
resve_co is highly overall correlated with lon_resve_book_rank_coHigh correlation
book_mastr_seq_no has unique valuesUnique
title_nm has unique valuesUnique
isbn_no has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:02:16.473599
Analysis finished2023-12-10 10:02:20.919097
Duration4.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

anals_trget_year
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2021 100
100.0%

Length

2023-12-10T19:02:21.065210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:02:21.291672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 100
100.0%

anals_trget_mt
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
11
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 100
100.0%

Length

2023-12-10T19:02:21.492476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:02:21.776288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 100
100.0%

lon_resve_book_rank_co
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.4
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:22.037188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375
95-th percentile95
Maximum100
Range99
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation28.947532
Coefficient of variation (CV)0.57435579
Kurtosis-1.2023215
Mean50.4
Median Absolute Deviation (MAD)24.5
Skewness-0.0038599461
Sum5040
Variance837.9596
MonotonicityIncreasing
2023-12-10T19:02:22.506829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 3
 
3.0%
75 2
 
2.0%
46 2
 
2.0%
95 2
 
2.0%
33 2
 
2.0%
10 2
 
2.0%
89 2
 
2.0%
61 2
 
2.0%
64 1
 
1.0%
70 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 2
2.0%
ValueCountFrequency (%)
100 1
 
1.0%
99 1
 
1.0%
98 1
 
1.0%
97 1
 
1.0%
95 2
2.0%
94 1
 
1.0%
91 3
3.0%
89 2
2.0%
88 1
 
1.0%
87 1
 
1.0%

resve_co
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.35
Minimum271
Maximum1883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:22.936102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum271
5-th percentile285
Q1324
median409.5
Q3565
95-th percentile1089.35
Maximum1883
Range1612
Interquartile range (IQR)241

Descriptive statistics

Standard deviation308.28346
Coefficient of variation (CV)0.59359481
Kurtosis6.0168901
Mean519.35
Median Absolute Deviation (MAD)111
Skewness2.3416688
Sum51935
Variance95038.694
MonotonicityDecreasing
2023-12-10T19:02:23.312251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288 3
 
3.0%
324 2
 
2.0%
432 2
 
2.0%
285 2
 
2.0%
519 2
 
2.0%
878 2
 
2.0%
289 2
 
2.0%
367 2
 
2.0%
365 1
 
1.0%
347 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
271 1
 
1.0%
275 1
 
1.0%
278 1
 
1.0%
282 1
 
1.0%
285 2
2.0%
286 1
 
1.0%
288 3
3.0%
289 2
2.0%
290 1
 
1.0%
291 1
 
1.0%
ValueCountFrequency (%)
1883 1
1.0%
1592 1
1.0%
1542 1
1.0%
1440 1
1.0%
1438 1
1.0%
1071 1
1.0%
1037 1
1.0%
884 1
1.0%
879 1
1.0%
878 2
2.0%

book_mastr_seq_no
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5627815.6
Minimum1950965
Maximum6312604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:23.593524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1950965
5-th percentile3427344.4
Q15677765.2
median5960960
Q36060923
95-th percentile6289437.2
Maximum6312604
Range4361639
Interquartile range (IQR)383157.75

Descriptive statistics

Standard deviation923809.26
Coefficient of variation (CV)0.16415059
Kurtosis7.0362026
Mean5627815.6
Median Absolute Deviation (MAD)125487.5
Skewness-2.7584459
Sum5.6278156 × 108
Variance8.5342354 × 1011
MonotonicityNot monotonic
2023-12-10T19:02:23.824095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5707051 1
 
1.0%
5827191 1
 
1.0%
6088288 1
 
1.0%
5970627 1
 
1.0%
5738747 1
 
1.0%
5784086 1
 
1.0%
5949338 1
 
1.0%
5678862 1
 
1.0%
6036489 1
 
1.0%
6086449 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1950965 1
1.0%
1967528 1
1.0%
2372129 1
1.0%
2397011 1
1.0%
3423096 1
1.0%
3427568 1
1.0%
3699193 1
1.0%
3701374 1
1.0%
3723218 1
1.0%
3723461 1
1.0%
ValueCountFrequency (%)
6312604 1
1.0%
6310125 1
1.0%
6307322 1
1.0%
6297748 1
1.0%
6292424 1
1.0%
6289280 1
1.0%
6287204 1
1.0%
6089279 1
1.0%
6088288 1
1.0%
6088197 1
1.0%

title_nm
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:24.531306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35.5
Mean length22.04
Min length1

Characters and Unicode

Total characters2204
Distinct characters366
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row달러구트 꿈 백화점.이미예 장편소설 1-2 :
2nd row달러구트 꿈 백화점.이미예 장편소설 2
3rd row완전한 행복 :정유정 장편소설
4th row불편한 편의점 :김호연 장편소설
5th row미드나잇 라이브러리
ValueCountFrequency (%)
장편소설 19
 
3.2%
가게 12
 
2.0%
과자 11
 
1.9%
이상한 11
 
1.9%
11
 
1.9%
전천당 11
 
1.9%
2 8
 
1.4%
1 6
 
1.0%
흔한남매 5
 
0.9%
과학 4
 
0.7%
Other values (405) 488
83.3%
2023-12-10T19:02:25.893464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
488
 
22.1%
이 52
 
2.4%
: 51
 
2.3%
의 46
 
2.1%
한 39
 
1.8%
는 39
 
1.8%
자 32
 
1.5%
소 29
 
1.3%
가 29
 
1.3%
설 24
 
1.1%
Other values (356) 1375
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1497
67.9%
Space Separator 488
 
22.1%
Decimal Number 65
 
2.9%
Other Punctuation 62
 
2.8%
Lowercase Letter 40
 
1.8%
Open Punctuation 16
 
0.7%
Close Punctuation 16
 
0.7%
Dash Punctuation 9
 
0.4%
Uppercase Letter 7
 
0.3%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 52
 
3.5%
의 46
 
3.1%
한 39
 
2.6%
는 39
 
2.6%
자 32
 
2.1%
소 29
 
1.9%
가 29
 
1.9%
설 24
 
1.6%
장 24
 
1.6%
기 23
 
1.5%
Other values (315) 1160
77.5%
Lowercase Letter
ValueCountFrequency (%)
e 10
25.0%
s 5
12.5%
t 4
 
10.0%
n 4
 
10.0%
r 3
 
7.5%
a 3
 
7.5%
v 2
 
5.0%
i 2
 
5.0%
o 2
 
5.0%
d 1
 
2.5%
Other values (4) 4
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 17
26.2%
1 15
23.1%
0 10
15.4%
7 6
 
9.2%
3 4
 
6.2%
4 4
 
6.2%
5 3
 
4.6%
6 3
 
4.6%
8 2
 
3.1%
9 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
M 1
14.3%
K 1
14.3%
E 1
14.3%
B 1
14.3%
S 1
14.3%
Other Punctuation
ValueCountFrequency (%)
: 51
82.3%
, 6
 
9.7%
. 3
 
4.8%
& 1
 
1.6%
% 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
= 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
488
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1497
67.9%
Common 660
29.9%
Latin 47
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 52
 
3.5%
의 46
 
3.1%
한 39
 
2.6%
는 39
 
2.6%
자 32
 
2.1%
소 29
 
1.9%
가 29
 
1.9%
설 24
 
1.6%
장 24
 
1.6%
기 23
 
1.5%
Other values (315) 1160
77.5%
Common
ValueCountFrequency (%)
488
73.9%
: 51
 
7.7%
2 17
 
2.6%
( 16
 
2.4%
) 16
 
2.4%
1 15
 
2.3%
0 10
 
1.5%
- 9
 
1.4%
, 6
 
0.9%
7 6
 
0.9%
Other values (11) 26
 
3.9%
Latin
ValueCountFrequency (%)
e 10
21.3%
s 5
10.6%
t 4
 
8.5%
n 4
 
8.5%
r 3
 
6.4%
a 3
 
6.4%
v 2
 
4.3%
i 2
 
4.3%
o 2
 
4.3%
T 2
 
4.3%
Other values (10) 10
21.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1497
67.9%
ASCII 707
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
488
69.0%
: 51
 
7.2%
2 17
 
2.4%
( 16
 
2.3%
) 16
 
2.3%
1 15
 
2.1%
e 10
 
1.4%
0 10
 
1.4%
- 9
 
1.3%
, 6
 
0.8%
Other values (31) 69
 
9.8%
Hangul
ValueCountFrequency (%)
이 52
 
3.5%
의 46
 
3.1%
한 39
 
2.6%
는 39
 
2.6%
자 32
 
2.1%
소 29
 
1.9%
가 29
 
1.9%
설 24
 
1.6%
장 24
 
1.6%
기 23
 
1.5%
Other values (315) 1160
77.5%

authr_nm
Text

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:26.341503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length41
Mean length14.18
Min length6

Characters and Unicode

Total characters1418
Distinct characters179
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

Unique70 ?
Unique (%)70.0%

Sample

1st row지은이: 이미예
2nd row지은이: 이미예
3rd row지은이: 정유정
4th row지은이: 김호연
5th row매트 헤이그 지음 ;노진선 옮김
ValueCountFrequency (%)
지은이 43
 
12.5%
지음 30
 
8.7%
그림 23
 
6.7%
옮김 18
 
5.2%
레이코 12
 
3.5%
히로시마 12
 
3.5%
글 9
 
2.6%
글;김정화 9
 
2.6%
옮긴이 9
 
2.6%
흔한남매 7
 
2.0%
Other values (135) 172
50.0%
2023-12-10T19:02:27.286408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
 
17.2%
이 99
 
7.0%
지 77
 
5.4%
김 59
 
4.2%
은 51
 
3.6%
: 45
 
3.2%
( 43
 
3.0%
) 43
 
3.0%
, 36
 
2.5%
; 34
 
2.4%
Other values (169) 687
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 967
68.2%
Space Separator 244
 
17.2%
Other Punctuation 118
 
8.3%
Open Punctuation 43
 
3.0%
Close Punctuation 43
 
3.0%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 99
 
10.2%
지 77
 
8.0%
김 59
 
6.1%
은 51
 
5.3%
정 31
 
3.2%
음 30
 
3.1%
옮 28
 
2.9%
그 25
 
2.6%
림 24
 
2.5%
글 20
 
2.1%
Other values (158) 523
54.1%
Other Punctuation
ValueCountFrequency (%)
: 45
38.1%
, 36
30.5%
; 34
28.8%
. 2
 
1.7%
· 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 967
68.2%
Common 449
31.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 99
 
10.2%
지 77
 
8.0%
김 59
 
6.1%
은 51
 
5.3%
정 31
 
3.2%
음 30
 
3.1%
옮 28
 
2.9%
그 25
 
2.6%
림 24
 
2.5%
글 20
 
2.1%
Other values (158) 523
54.1%
Common
ValueCountFrequency (%)
244
54.3%
: 45
 
10.0%
( 43
 
9.6%
) 43
 
9.6%
, 36
 
8.0%
; 34
 
7.6%
. 2
 
0.4%
| 1
 
0.2%
· 1
 
0.2%
Latin
ValueCountFrequency (%)
K 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 967
68.2%
ASCII 450
31.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
54.2%
: 45
 
10.0%
( 43
 
9.6%
) 43
 
9.6%
, 36
 
8.0%
; 34
 
7.6%
. 2
 
0.4%
K 1
 
0.2%
J 1
 
0.2%
| 1
 
0.2%
Hangul
ValueCountFrequency (%)
이 99
 
10.2%
지 77
 
8.0%
김 59
 
6.1%
은 51
 
5.3%
정 31
 
3.2%
음 30
 
3.1%
옮 28
 
2.9%
그 25
 
2.6%
림 24
 
2.5%
글 20
 
2.1%
Other values (158) 523
54.1%
None
ValueCountFrequency (%)
· 1
100.0%

publisher_nm
Text

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T19:02:27.780230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length5.02
Min length2

Characters and Unicode

Total characters502
Distinct characters153
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

Unique42 ?
Unique (%)42.0%

Sample

1st row팩토리나인
2nd row팩토리나인
3rd row은행나무
4th row나무옆의자
5th row인플루엔셜
ValueCountFrequency (%)
길벗스쿨 12
 
11.9%
문학동네 7
 
6.9%
비룡소 5
 
5.0%
창비 5
 
5.0%
미래엔 4
 
4.0%
rhk(알에이치코리아 4
 
4.0%
김영사 4
 
4.0%
page2(페이지2북스 3
 
3.0%
나무옆의자 2
 
2.0%
팩토리나인 2
 
2.0%
Other values (48) 53
52.5%
2023-12-10T19:02:28.548072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 28
 
5.6%
이 16
 
3.2%
북 14
 
2.8%
길 13
 
2.6%
벗 13
 
2.6%
사 13
 
2.6%
( 13
 
2.6%
) 13
 
2.6%
쿨 12
 
2.4%
학 12
 
2.4%
Other values (143) 355
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
82.9%
Lowercase Letter 32
 
6.4%
Uppercase Letter 21
 
4.2%
Open Punctuation 13
 
2.6%
Close Punctuation 13
 
2.6%
Decimal Number 6
 
1.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 28
 
6.7%
이 16
 
3.8%
북 14
 
3.4%
길 13
 
3.1%
벗 13
 
3.1%
사 13
 
3.1%
쿨 12
 
2.9%
학 12
 
2.9%
비 11
 
2.6%
문 11
 
2.6%
Other values (116) 273
65.6%
Lowercase Letter
ValueCountFrequency (%)
n 5
15.6%
o 4
12.5%
e 4
12.5%
a 4
12.5%
i 3
9.4%
g 3
9.4%
f 1
 
3.1%
x 1
 
3.1%
w 1
 
3.1%
d 1
 
3.1%
Other values (5) 5
15.6%
Uppercase Letter
ValueCountFrequency (%)
H 4
19.0%
R 4
19.0%
P 4
19.0%
K 4
19.0%
B 2
9.5%
S 1
 
4.8%
O 1
 
4.8%
G 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Decimal Number
ValueCountFrequency (%)
2 6
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
82.9%
Latin 53
 
10.6%
Common 33
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 28
 
6.7%
이 16
 
3.8%
북 14
 
3.4%
길 13
 
3.1%
벗 13
 
3.1%
사 13
 
3.1%
쿨 12
 
2.9%
학 12
 
2.9%
비 11
 
2.6%
문 11
 
2.6%
Other values (116) 273
65.6%
Latin
ValueCountFrequency (%)
n 5
 
9.4%
H 4
 
7.5%
o 4
 
7.5%
R 4
 
7.5%
e 4
 
7.5%
P 4
 
7.5%
a 4
 
7.5%
K 4
 
7.5%
i 3
 
5.7%
g 3
 
5.7%
Other values (13) 14
26.4%
Common
ValueCountFrequency (%)
( 13
39.4%
) 13
39.4%
2 6
18.2%
1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
82.9%
ASCII 86
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 28
 
6.7%
이 16
 
3.8%
북 14
 
3.4%
길 13
 
3.1%
벗 13
 
3.1%
사 13
 
3.1%
쿨 12
 
2.9%
학 12
 
2.9%
비 11
 
2.6%
문 11
 
2.6%
Other values (116) 273
65.6%
ASCII
ValueCountFrequency (%)
( 13
15.1%
) 13
15.1%
2 6
 
7.0%
n 5
 
5.8%
H 4
 
4.7%
o 4
 
4.7%
R 4
 
4.7%
e 4
 
4.7%
P 4
 
4.7%
a 4
 
4.7%
Other values (17) 25
29.1%

isbn_no
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7902182 × 1012
Minimum9.7889012 × 1012
Maximum9.7911975 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:02:28.824954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7889012 × 1012
5-th percentile9.7889256 × 1012
Q19.7889547 × 1012
median9.7911641 × 1012
Q39.7911886 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911975 × 1012
Range2.2963056 × 109
Interquartile range (IQR)2.2339333 × 109

Descriptive statistics

Standard deviation1.1071177 × 109
Coefficient of variation (CV)0.00011308407
Kurtosis-1.955739
Mean9.7902182 × 1012
Median Absolute Deviation (MAD)27582526
Skewness-0.2871852
Sum9.7902182 × 1014
Variance1.2257095 × 1018
MonotonicityNot monotonic
2023-12-10T19:02:29.096238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9791165341909 1
 
1.0%
9791189580575 1
 
1.0%
9791164138982 1
 
1.0%
9788934989257 1
 
1.0%
9791190090261 1
 
1.0%
9788936447861 1
 
1.0%
9788925588902 1
 
1.0%
9791188331796 1
 
1.0%
9788901251226 1
 
1.0%
9788934980254 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9788901243658 1
1.0%
9788901251226 1
1.0%
9788925566511 1
1.0%
9788925579870 1
1.0%
9788925588636 1
1.0%
9788925588902 1
1.0%
9788934980254 1
1.0%
9788934984979 1
1.0%
9788934985051 1
1.0%
9788934986652 1
1.0%
ValueCountFrequency (%)
9791197549304 1
1.0%
9791197413025 1
1.0%
9791196848194 1
1.0%
9791191891027 1
1.0%
9791191824001 1
1.0%
9791191462029 1
1.0%
9791191393163 1
1.0%
9791191360196 1
1.0%
9791191211467 1
1.0%
9791191056556 1
1.0%

Interactions

2023-12-10T19:02:19.567464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:17.594608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:18.216490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:18.887256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:19.802041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:17.760920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:18.390719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:19.039899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:19.993344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:17.928461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:18.580432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:19.208841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:20.138499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:18.073106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:18.746245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:02:19.410959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:02:29.268558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
lon_resve_book_rank_coresve_cobook_mastr_seq_notitle_nmauthr_nmpublisher_nmisbn_no
lon_resve_book_rank_co1.0000.7680.2361.0000.4460.1620.000
resve_co0.7681.0000.0001.0000.0000.0000.210
book_mastr_seq_no0.2360.0001.0001.0000.8490.7460.122
title_nm1.0001.0001.0001.0001.0001.0001.000
authr_nm0.4460.0000.8491.0001.0001.0000.988
publisher_nm0.1620.0000.7461.0001.0001.0000.999
isbn_no0.0000.2100.1221.0000.9880.9991.000
2023-12-10T19:02:29.449818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
lon_resve_book_rank_coresve_cobook_mastr_seq_noisbn_no
lon_resve_book_rank_co1.000-1.000-0.128-0.116
resve_co-1.0001.0000.1280.116
book_mastr_seq_no-0.1280.1281.0000.246
isbn_no-0.1160.1160.2461.000

Missing values

2023-12-10T19:02:20.424497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:02:20.784652image/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

anals_trget_yearanals_trget_mtlon_resve_book_rank_coresve_cobook_mastr_seq_notitle_nmauthr_nmpublisher_nmisbn_no
0202111118835707051달러구트 꿈 백화점.이미예 장편소설 1-2 :지은이: 이미예팩토리나인9791165341909
1202111215926049391달러구트 꿈 백화점.이미예 장편소설 2지은이: 이미예팩토리나인9791165343729
2202111315425987427완전한 행복 :정유정 장편소설지은이: 정유정은행나무9791167370280
3202111414405962217불편한 편의점 :김호연 장편소설지은이: 김호연나무옆의자9791161571188
4202111514385965665미드나잇 라이브러리매트 헤이그 지음 ;노진선 옮김인플루엔셜9791191056556
5202111610716045915밝은 밤 :최은영 장편소설지은이: 최은영문학동네9788954681179
6202111710376078867양순이네 떡집김리리 (지은이), 김이랑 (그림)비룡소9788949162102
720211188846086446작별하지 않는다 :한강 장편소설지은이: 한강문학동네9788954682152
820211198796078845(서울 자가에 대기업 다니는) 김 부장 이야기 1송희구 지음서삼독9791165343996
9202111108786068422백조와 박쥐 :히가시노 게이고 장편소설지은이: 히가시노 게이고 ;옮긴이: 양윤옥현대문학9791190885928
anals_trget_yearanals_trget_mtlon_resve_book_rank_coresve_cobook_mastr_seq_notitle_nmauthr_nmpublisher_nmisbn_no
90202111912885491289부의 인문학 :슈퍼리치의 서재에서 찾아낸 부자의 길브라운스톤 지음Openmind(오픈마인드)9788995563502
91202111912886037961설민석의 한국사 대모험 17 - 6.25 전쟁 편 : 황금순 할머니의 소원설민석, 스토리박스 (지은이), 정현희 (그림), 김영미 (감수)아이휴먼9791165382940
92202111912885642562고양이 해결사 깜냥 1홍민정 동화 ;김재희 그림창비9788936447694
93202111942861950965망원동 브라더스 :김호연 장편소설지은이: 김호연나무옆의자9788997962129
94202111952856312604크리스마스 피그J.K. 롤링 (지은이), 짐 필드 (그림), 공보경 (옮긴이)문학수첩9788983928825
95202111952856088197비밀의 보석 가게 마석관 2히로시마 레이코 (지은이), 사타케 미호 (그림), 김정화 (옮긴이)길벗스쿨9791164063819
96202111972825833702흔한남매의 흔한 호기심 :일상에서 만나는 과학 상식 2원작: 흔한남매 ;그림: 유난희미래엔9791164137121
97202111982786292424초등생의 수학 학부모의 계획 - 수학은 어느 날 갑자기 잘할 수 없습니다김수희 (지은이)사람in9788960499119
98202111992753427568옷소매 붉은 끝동 :강미강 장편소설 1지은이: 강미강청어람9791104911514
992021111002716089279시대의 1등주를 찾아라 :1등 펀드매니저처럼 생각하고 투자하는 법이한영 지음Page2(페이지2북스)9791190977371