Overview

Dataset statistics

Number of variables32
Number of observations100
Missing cells442
Missing cells (%)13.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.7 KiB
Average record size in memory273.3 B

Variable types

Numeric9
Text7
Categorical11
Boolean3
DateTime1
Unsupported1

Alerts

represent_book_yn has constant value ""Constant
acq_code has constant value ""Constant
media_code has constant value ""Constant
class_no_type has constant value ""Constant
set_isbn_change_yn has constant value ""Constant
copy_code is highly imbalanced (91.9%)Imbalance
shelf_loc_code is highly imbalanced (55.6%)Imbalance
vol has 74 (74.0%) missing valuesMissing
accomp_mat has 98 (98.0%) missing valuesMissing
vol_code has 74 (74.0%) missing valuesMissing
vol_origin has 100 (100.0%) missing valuesMissing
separate_shelf_code has 96 (96.0%) missing valuesMissing
rec_key has unique valuesUnique
isbn13 has unique valuesUnique
reg_no has unique valuesUnique
ea_isbn has unique valuesUnique
isbn13_origin has unique valuesUnique
vol_origin is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:46:19.772530
Analysis finished2023-12-10 09:46:21.040128
Duration1.27 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%
Mean7.4272868 × 109
Minimum1.0666561 × 108
Maximum3.2297488 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:21.172212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0666561 × 108
5-th percentile4.2485131 × 108
Q14.2485217 × 108
median4.2485342 × 108
Q34.2485424 × 108
95-th percentile3.2297487 × 1010
Maximum3.2297488 × 1010
Range3.2190823 × 1010
Interquartile range (IQR)2075.25

Descriptive statistics

Standard deviation1.3274842 × 1010
Coefficient of variation (CV)1.787307
Kurtosis-0.11902215
Mean7.4272868 × 109
Median Absolute Deviation (MAD)1005
Skewness1.3724651
Sum7.4272868 × 1011
Variance1.7622142 × 1020
MonotonicityNot monotonic
2023-12-10T18:46:21.449872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424851234 1
 
1.0%
424854277 1
 
1.0%
424852067 1
 
1.0%
424854253 1
 
1.0%
424854229 1
 
1.0%
424854210 1
 
1.0%
424854174 1
 
1.0%
424853720 1
 
1.0%
424853535 1
 
1.0%
424853508 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
106665609 1
1.0%
106669244 1
1.0%
106669248 1
1.0%
424851234 1
1.0%
424851281 1
1.0%
424851307 1
1.0%
424851367 1
1.0%
424851404 1
1.0%
424851416 1
1.0%
424851476 1
1.0%
ValueCountFrequency (%)
32297488305 1
1.0%
32297486575 1
1.0%
32297486563 1
1.0%
32297486551 1
1.0%
32297486539 1
1.0%
32297486527 1
1.0%
32297486515 1
1.0%
32297486503 1
1.0%
32297486491 1
1.0%
32297486479 1
1.0%

author
Text

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:46:22.200197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length12.56
Min length3

Characters and Unicode

Total characters1256
Distinct characters227
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)92.0%

Sample

1st row차홍규,김성진 엮음
2nd row우에다 시게코 지음;김숙 옮김
3rd row윤희솔 지음
4th row박형주,김지연 지음
5th row김수민 지음
ValueCountFrequency (%)
지음 41
 
12.9%
옮김 34
 
10.7%
글·그림 21
 
6.6%
조용석 4
 
1.3%
옮긴이 4
 
1.3%
그림 4
 
1.3%
글 3
 
0.9%
엮음 2
 
0.6%
히가시노 2
 
0.6%
게이고 2
 
0.6%
Other values (193) 202
63.3%
2023-12-10T18:46:22.915675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
17.4%
; 58
 
4.6%
지 56
 
4.5%
김 56
 
4.5%
음 53
 
4.2%
옮 38
 
3.0%
글 37
 
2.9%
그 37
 
2.9%
림 37
 
2.9%
이 32
 
2.5%
Other values (217) 633
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 915
72.9%
Space Separator 219
 
17.4%
Other Punctuation 112
 
8.9%
Uppercase Letter 6
 
0.5%
Dash Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 56
 
6.1%
김 56
 
6.1%
음 53
 
5.8%
옮 38
 
4.2%
글 37
 
4.0%
그 37
 
4.0%
림 37
 
4.0%
이 32
 
3.5%
정 15
 
1.6%
진 12
 
1.3%
Other values (204) 542
59.2%
Other Punctuation
ValueCountFrequency (%)
; 58
51.8%
· 28
25.0%
, 12
 
10.7%
: 8
 
7.1%
. 6
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
R 4
66.7%
M 1
 
16.7%
T 1
 
16.7%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 915
72.9%
Common 335
 
26.7%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 56
 
6.1%
김 56
 
6.1%
음 53
 
5.8%
옮 38
 
4.2%
글 37
 
4.0%
그 37
 
4.0%
림 37
 
4.0%
이 32
 
3.5%
정 15
 
1.6%
진 12
 
1.3%
Other values (204) 542
59.2%
Common
ValueCountFrequency (%)
219
65.4%
; 58
 
17.3%
· 28
 
8.4%
, 12
 
3.6%
: 8
 
2.4%
. 6
 
1.8%
- 1
 
0.3%
[ 1
 
0.3%
] 1
 
0.3%
ⓔ 1
 
0.3%
Latin
ValueCountFrequency (%)
R 4
66.7%
M 1
 
16.7%
T 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 915
72.9%
ASCII 312
 
24.8%
None 28
 
2.2%
Enclosed Alphanum 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
70.2%
; 58
 
18.6%
, 12
 
3.8%
: 8
 
2.6%
. 6
 
1.9%
R 4
 
1.3%
- 1
 
0.3%
M 1
 
0.3%
T 1
 
0.3%
[ 1
 
0.3%
Hangul
ValueCountFrequency (%)
지 56
 
6.1%
김 56
 
6.1%
음 53
 
5.8%
옮 38
 
4.2%
글 37
 
4.0%
그 37
 
4.0%
림 37
 
4.0%
이 32
 
3.5%
정 15
 
1.6%
진 12
 
1.3%
Other values (204) 542
59.2%
None
ValueCountFrequency (%)
· 28
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%

vol
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)73.1%
Missing74
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean107.53846
Minimum1
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:23.145692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q12.25
median11
Q317.75
95-th percentile318.25
Maximum2000
Range1999
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation393.58905
Coefficient of variation (CV)3.659984
Kurtosis23.810912
Mean107.53846
Median Absolute Deviation (MAD)8.5
Skewness4.8190899
Sum2796
Variance154912.34
MonotonicityNot monotonic
2023-12-10T18:46:23.362312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 5
 
5.0%
1 2
 
2.0%
10 2
 
2.0%
17 2
 
2.0%
12 1
 
1.0%
3 1
 
1.0%
7 1
 
1.0%
16 1
 
1.0%
9 1
 
1.0%
30 1
 
1.0%
Other values (9) 9
 
9.0%
(Missing) 74
74.0%
ValueCountFrequency (%)
1 2
 
2.0%
2 5
5.0%
3 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
10 2
 
2.0%
12 1
 
1.0%
13 1
 
1.0%
15 1
 
1.0%
ValueCountFrequency (%)
2000 1
1.0%
394 1
1.0%
91 1
1.0%
72 1
1.0%
42 1
1.0%
30 1
1.0%
18 1
1.0%
17 2
2.0%
16 1
1.0%
15 1
1.0%

publish_year
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2021
75 
2020
15 
2019
 
4
2018
 
3
2017
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2021
3rd row2021
4th row2020
5th row2021

Common Values

ValueCountFrequency (%)
2021 75
75.0%
2020 15
 
15.0%
2019 4
 
4.0%
2018 3
 
3.0%
2017 3
 
3.0%

Length

2023-12-10T18:46:23.584013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:23.763913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 75
75.0%
2020 15
 
15.0%
2019 4
 
4.0%
2018 3
 
3.0%
2017 3
 
3.0%

class_no
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.63746
Minimum1.3
Maximum981.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:23.996318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile108.95
Q1327.856
median813.7
Q3819.425
95-th percentile863
Maximum981.1
Range979.8
Interquartile range (IQR)491.569

Descriptive statistics

Standard deviation276.31972
Coefficient of variation (CV)0.43815938
Kurtosis-0.85333706
Mean630.63746
Median Absolute Deviation (MAD)34.6
Skewness-0.87558516
Sum63063.746
Variance76352.588
MonotonicityNot monotonic
2023-12-10T18:46:24.307374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
813.8 12
 
12.0%
813.7 10
 
10.0%
863.0 5
 
5.0%
843.0 5
 
5.0%
833.6 5
 
5.0%
818.0 4
 
4.0%
698.87 4
 
4.0%
808.9 4
 
4.0%
873.0 3
 
3.0%
325.211 3
 
3.0%
Other values (38) 45
45.0%
ValueCountFrequency (%)
1.3 1
1.0%
29.8 1
1.0%
31.0 1
1.0%
104.0 1
1.0%
108.0 1
1.0%
109.0 1
1.0%
151.581 1
1.0%
160.0 1
1.0%
181.4 1
1.0%
186.5 1
1.0%
ValueCountFrequency (%)
981.1 1
 
1.0%
873.0 3
3.0%
863.0 5
5.0%
853.0 1
 
1.0%
843.6 1
 
1.0%
843.0 5
5.0%
839.64 1
 
1.0%
833.8 2
 
2.0%
833.6 5
5.0%
823.7 1
 
1.0%

book_code
Text

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:46:25.023418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3
Min length3

Characters and Unicode

Total characters430
Distinct characters114
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

Unique90 ?
Unique (%)90.0%

Sample

1st row차95서
2nd row우64ㄴ
3rd row윤97하
4th row박94그
5th row김56그
ValueCountFrequency (%)
조65윈 4
 
4.0%
마888와 2
 
2.0%
라32내 2
 
2.0%
카885ㅋ 2
 
2.0%
정64남 1
 
1.0%
이175페 1
 
1.0%
김667불 1
 
1.0%
서685영 1
 
1.0%
로14이 1
 
1.0%
로48돋 1
 
1.0%
Other values (84) 84
84.0%
2023-12-10T18:46:25.826043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 40
 
9.3%
8 40
 
9.3%
2 29
 
6.7%
6 28
 
6.5%
4 28
 
6.5%
7 21
 
4.9%
9 19
 
4.4%
3 14
 
3.3%
1 12
 
2.8%
이 8
 
1.9%
Other values (104) 191
44.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
53.7%
Other Letter 199
46.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
4.0%
조 8
 
4.0%
김 7
 
3.5%
마 6
 
3.0%
나 5
 
2.5%
박 4
 
2.0%
ㅅ 4
 
2.0%
ㄱ 4
 
2.0%
정 4
 
2.0%
최 4
 
2.0%
Other values (95) 145
72.9%
Decimal Number
ValueCountFrequency (%)
5 40
17.3%
8 40
17.3%
2 29
12.6%
6 28
12.1%
4 28
12.1%
7 21
9.1%
9 19
8.2%
3 14
 
6.1%
1 12
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
Common 231
53.7%
Hangul 199
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
4.0%
조 8
 
4.0%
김 7
 
3.5%
마 6
 
3.0%
나 5
 
2.5%
박 4
 
2.0%
ㅅ 4
 
2.0%
ㄱ 4
 
2.0%
정 4
 
2.0%
최 4
 
2.0%
Other values (95) 145
72.9%
Common
ValueCountFrequency (%)
5 40
17.3%
8 40
17.3%
2 29
12.6%
6 28
12.1%
4 28
12.1%
7 21
9.1%
9 19
8.2%
3 14
 
6.1%
1 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
53.7%
Hangul 175
40.7%
Compat Jamo 24
 
5.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 40
17.3%
8 40
17.3%
2 29
12.6%
6 28
12.1%
4 28
12.1%
7 21
9.1%
9 19
8.2%
3 14
 
6.1%
1 12
 
5.2%
Hangul
ValueCountFrequency (%)
이 8
 
4.6%
조 8
 
4.6%
김 7
 
4.0%
마 6
 
3.4%
나 5
 
2.9%
박 4
 
2.3%
정 4
 
2.3%
최 4
 
2.3%
윈 4
 
2.3%
고 3
 
1.7%
Other values (85) 122
69.7%
Compat Jamo
ValueCountFrequency (%)
ㅅ 4
16.7%
ㄱ 4
16.7%
ㄴ 3
12.5%
ㄷ 3
12.5%
ㅇ 3
12.5%
ㅋ 2
8.3%
ㅁ 2
8.3%
ㄲ 1
 
4.2%
ㄸ 1
 
4.2%
ㄹ 1
 
4.2%

title
Text

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:46:26.441293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length37
Mean length19.49
Min length2

Characters and Unicode

Total characters1949
Distinct characters407
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)90.0%

Sample

1st row(알수록 다시 보는) 서양 미술 100:그림이 알려주지 않는 그림 속 숨겨진 이야기
2nd row냉장고 안에서 무슨 일이?
3rd row하루 1 질문 초등 글쓰기의 기적
4th row(공부머리 만드는)그림책 놀이 일 년 열두 달:호기심을 북돋는 그림책 대화에서 읽기 능력 키우는 그림책 놀이까지
5th row그렇다면 나를 응원할 수밖에 :멋대로지만 제대로 사는 중입니다 :김수민 에세이
ValueCountFrequency (%)
그림책 7
 
1.4%
장편소설 5
 
1.0%
윈드 4
 
0.8%
브레이커=wind 4
 
0.8%
breaker 4
 
0.8%
시간 3
 
0.6%
없이 3
 
0.6%
문해력 3
 
0.6%
않는 2
 
0.4%
소설집 2
 
0.4%
Other values (415) 447
92.4%
2023-12-10T18:46:27.411219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
19.7%
: 49
 
2.5%
이 42
 
2.2%
의 37
 
1.9%
는 35
 
1.8%
에 28
 
1.4%
다 24
 
1.2%
한 24
 
1.2%
기 17
 
0.9%
나 17
 
0.9%
Other values (397) 1292
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1359
69.7%
Space Separator 384
 
19.7%
Lowercase Letter 70
 
3.6%
Other Punctuation 63
 
3.2%
Decimal Number 29
 
1.5%
Uppercase Letter 19
 
1.0%
Open Punctuation 9
 
0.5%
Close Punctuation 9
 
0.5%
Math Symbol 5
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 42
 
3.1%
의 37
 
2.7%
는 35
 
2.6%
에 28
 
2.1%
다 24
 
1.8%
한 24
 
1.8%
기 17
 
1.3%
나 17
 
1.3%
아 17
 
1.3%
리 16
 
1.2%
Other values (351) 1102
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 11
15.7%
r 10
14.3%
i 8
11.4%
n 8
11.4%
a 6
8.6%
k 6
8.6%
d 5
7.1%
b 4
 
5.7%
o 3
 
4.3%
s 2
 
2.9%
Other values (6) 7
10.0%
Uppercase Letter
ValueCountFrequency (%)
W 5
26.3%
E 3
15.8%
B 3
15.8%
S 2
 
10.5%
T 2
 
10.5%
M 1
 
5.3%
F 1
 
5.3%
P 1
 
5.3%
X 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
: 49
77.8%
, 5
 
7.9%
? 2
 
3.2%
. 2
 
3.2%
% 2
 
3.2%
· 1
 
1.6%
! 1
 
1.6%
… 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
0 8
27.6%
1 8
27.6%
4 4
13.8%
2 4
13.8%
9 2
 
6.9%
5 2
 
6.9%
3 1
 
3.4%
Space Separator
ValueCountFrequency (%)
384
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1357
69.6%
Common 500
 
25.7%
Latin 90
 
4.6%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 42
 
3.1%
의 37
 
2.7%
는 35
 
2.6%
에 28
 
2.1%
다 24
 
1.8%
한 24
 
1.8%
기 17
 
1.3%
나 17
 
1.3%
아 17
 
1.3%
리 16
 
1.2%
Other values (349) 1100
81.1%
Latin
ValueCountFrequency (%)
e 11
12.2%
r 10
11.1%
i 8
 
8.9%
n 8
 
8.9%
a 6
 
6.7%
k 6
 
6.7%
d 5
 
5.6%
W 5
 
5.6%
b 4
 
4.4%
o 3
 
3.3%
Other values (16) 24
26.7%
Common
ValueCountFrequency (%)
384
76.8%
: 49
 
9.8%
( 9
 
1.8%
) 9
 
1.8%
0 8
 
1.6%
1 8
 
1.6%
, 5
 
1.0%
= 5
 
1.0%
4 4
 
0.8%
2 4
 
0.8%
Other values (10) 15
 
3.0%
Han
ValueCountFrequency (%)
日 1
50.0%
沒 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1357
69.6%
ASCII 586
30.1%
CJK 2
 
0.1%
None 1
 
0.1%
Punctuation 1
 
0.1%
Enclosed Alphanum 1
 
0.1%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
65.5%
: 49
 
8.4%
e 11
 
1.9%
r 10
 
1.7%
( 9
 
1.5%
) 9
 
1.5%
0 8
 
1.4%
i 8
 
1.4%
n 8
 
1.4%
1 8
 
1.4%
Other values (32) 82
 
14.0%
Hangul
ValueCountFrequency (%)
이 42
 
3.1%
의 37
 
2.7%
는 35
 
2.6%
에 28
 
2.1%
다 24
 
1.8%
한 24
 
1.8%
기 17
 
1.3%
나 17
 
1.3%
아 17
 
1.3%
리 16
 
1.2%
Other values (349) 1100
81.1%
CJK
ValueCountFrequency (%)
日 1
50.0%
沒 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

lib_code
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1504
52 
1501
23 
1402
22 
8100
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1501
2nd row8100
3rd row1501
4th row1501
5th row1501

Common Values

ValueCountFrequency (%)
1504 52
52.0%
1501 23
23.0%
1402 22
22.0%
8100 3
 
3.0%

Length

2023-12-10T18:46:27.812183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:28.075383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1504 52
52.0%
1501 23
23.0%
1402 22
22.0%
8100 3
 
3.0%

isbn13
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7901307 × 1012
Minimum9.7889013 × 1012
Maximum9.7911972 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:28.312296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7889013 × 1012
5-th percentile9.7889256 × 1012
Q19.7889547 × 1012
median9.7911581 × 1012
Q39.791188 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911972 × 1012
Range2.2959771 × 109
Interquartile range (IQR)2.2332152 × 109

Descriptive statistics

Standard deviation1.1164064 × 109
Coefficient of variation (CV)0.00011403386
Kurtosis-2.024658
Mean9.7901307 × 1012
Median Absolute Deviation (MAD)38494763
Skewness-0.12234744
Sum9.7901307 × 1014
Variance1.2463632 × 1018
MonotonicityNot monotonic
2023-12-10T18:46:28.689688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788965781325 1
 
1.0%
9788925592961 1
 
1.0%
9788984374294 1
 
1.0%
9788954682374 1
 
1.0%
9791190153218 1
 
1.0%
9791162790700 1
 
1.0%
9791160406207 1
 
1.0%
9788932038933 1
 
1.0%
9788950996178 1
 
1.0%
9788925580104 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9788901251509 1
1.0%
9788911128549 1
1.0%
9788925547602 1
1.0%
9788925564746 1
1.0%
9788925579870 1
1.0%
9788925580104 1
1.0%
9788925588452 1
1.0%
9788925588636 1
1.0%
9788925588698 1
1.0%
9788925592961 1
1.0%
ValueCountFrequency (%)
9791197228575 1
1.0%
9791197221514 1
1.0%
9791197037191 1
1.0%
9791196169862 1
1.0%
9791191745030 1
1.0%
9791191517101 1
1.0%
9791191462029 1
1.0%
9791191393361 1
1.0%
9791191393200 1
1.0%
9791191253368 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%
2023-12-10T18:46:28.955800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

reg_no
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:46:29.348847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1200
Distinct characters16
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 rowBGM000049819
2nd rowAEM000547590
3rd rowBGM000049821
4th rowBGM000049822
5th rowBGM000049823
ValueCountFrequency (%)
bgm000049819 1
 
1.0%
egm000023763 1
 
1.0%
egm000023776 1
 
1.0%
egm000023774 1
 
1.0%
egm000023773 1
 
1.0%
egm000023770 1
 
1.0%
egm000023765 1
 
1.0%
egm000023756 1
 
1.0%
egm000023754 1
 
1.0%
egm000023751 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T18:46:29.984055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 430
35.8%
M 100
 
8.3%
2 80
 
6.7%
3 73
 
6.1%
7 72
 
6.0%
8 64
 
5.3%
G 62
 
5.2%
E 55
 
4.6%
4 50
 
4.2%
1 46
 
3.8%
Other values (6) 168
 
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 922
76.8%
Uppercase Letter 278
 
23.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 430
46.6%
2 80
 
8.7%
3 73
 
7.9%
7 72
 
7.8%
8 64
 
6.9%
4 50
 
5.4%
1 46
 
5.0%
6 41
 
4.4%
9 40
 
4.3%
5 26
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
M 100
36.0%
G 62
22.3%
E 55
19.8%
B 45
16.2%
Y 13
 
4.7%
A 3
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 922
76.8%
Latin 278
 
23.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 430
46.6%
2 80
 
8.7%
3 73
 
7.9%
7 72
 
7.8%
8 64
 
6.9%
4 50
 
5.4%
1 46
 
5.0%
6 41
 
4.4%
9 40
 
4.3%
5 26
 
2.8%
Latin
ValueCountFrequency (%)
M 100
36.0%
G 62
22.3%
E 55
19.8%
B 45
16.2%
Y 13
 
4.7%
A 3
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 430
35.8%
M 100
 
8.3%
2 80
 
6.7%
3 73
 
6.1%
7 72
 
6.0%
8 64
 
5.3%
G 62
 
5.2%
E 55
 
4.6%
4 50
 
4.2%
1 46
 
3.8%
Other values (6) 168
 
14.0%

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

2023-12-10T18:46:30.240424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:30.473221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

manage_code
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ME
52 
MB
45 
MA
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMB
2nd rowMA
3rd rowMB
4th rowMB
5th rowMB

Common Values

ValueCountFrequency (%)
ME 52
52.0%
MB 45
45.0%
MA 3
 
3.0%

Length

2023-12-10T18:46:30.784170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:31.035879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
me 52
52.0%
mb 45
45.0%
ma 3
 
3.0%

media_code
Categorical

CONSTANT 

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

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 (%)
PR 100
100.0%

Length

2023-12-10T18:46:31.379846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:31.565834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pr 100
100.0%

use_limit_code
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
GM
78 
CL
22 

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 (%)
GM 78
78.0%
CL 22
 
22.0%

Length

2023-12-10T18:46:31.859587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:32.114500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gm 78
78.0%
cl 22
 
22.0%

use_object_code
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
PU
79 
JU
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PU 79
79.0%
JU 21
 
21.0%

Length

2023-12-10T18:46:32.458342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:32.718220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pu 79
79.0%
ju 21
 
21.0%

accomp_mat
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing98
Missing (%)98.0%
Memory size932.0 B
2023-12-10T18:46:33.022585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length24
Min length20

Characters and Unicode

Total characters48
Distinct characters26
Distinct categories8 ?
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 row글쓰기 좋은 질문 50 워크북 1책 (103 p.)
2nd row유망 ETF 32 1책 (32 p.)
ValueCountFrequency (%)
1책 2
14.3%
p 2
14.3%
32 2
14.3%
글쓰기 1
7.1%
좋은 1
7.1%
질문 1
7.1%
50 1
7.1%
워크북 1
7.1%
103 1
7.1%
유망 1
7.1%
2023-12-10T18:46:33.993514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
25.0%
1 3
 
6.2%
3 3
 
6.2%
0 2
 
4.2%
) 2
 
4.2%
. 2
 
4.2%
p 2
 
4.2%
( 2
 
4.2%
책 2
 
4.2%
2 2
 
4.2%
Other values (16) 16
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
29.2%
Space Separator 12
25.0%
Decimal Number 11
22.9%
Uppercase Letter 3
 
6.2%
Close Punctuation 2
 
4.2%
Other Punctuation 2
 
4.2%
Lowercase Letter 2
 
4.2%
Open Punctuation 2
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
책 2
14.3%
워 1
 
7.1%
크 1
 
7.1%
북 1
 
7.1%
쓰 1
 
7.1%
문 1
 
7.1%
질 1
 
7.1%
은 1
 
7.1%
좋 1
 
7.1%
기 1
 
7.1%
Other values (3) 3
21.4%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
3 3
27.3%
0 2
18.2%
2 2
18.2%
5 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
T 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29
60.4%
Hangul 14
29.2%
Latin 5
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
책 2
14.3%
워 1
 
7.1%
크 1
 
7.1%
북 1
 
7.1%
쓰 1
 
7.1%
문 1
 
7.1%
질 1
 
7.1%
은 1
 
7.1%
좋 1
 
7.1%
기 1
 
7.1%
Other values (3) 3
21.4%
Common
ValueCountFrequency (%)
12
41.4%
1 3
 
10.3%
3 3
 
10.3%
0 2
 
6.9%
) 2
 
6.9%
. 2
 
6.9%
( 2
 
6.9%
2 2
 
6.9%
5 1
 
3.4%
Latin
ValueCountFrequency (%)
p 2
40.0%
E 1
20.0%
T 1
20.0%
F 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
70.8%
Hangul 14
29.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
35.3%
1 3
 
8.8%
3 3
 
8.8%
0 2
 
5.9%
) 2
 
5.9%
. 2
 
5.9%
p 2
 
5.9%
( 2
 
5.9%
2 2
 
5.9%
5 1
 
2.9%
Other values (3) 3
 
8.8%
Hangul
ValueCountFrequency (%)
책 2
14.3%
워 1
 
7.1%
크 1
 
7.1%
북 1
 
7.1%
쓰 1
 
7.1%
문 1
 
7.1%
질 1
 
7.1%
은 1
 
7.1%
좋 1
 
7.1%
기 1
 
7.1%
Other values (3) 3
21.4%

ea_isbn
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7901307 × 1012
Minimum9.7889013 × 1012
Maximum9.7911972 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:34.289253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7889013 × 1012
5-th percentile9.7889256 × 1012
Q19.7889547 × 1012
median9.7911581 × 1012
Q39.791188 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911972 × 1012
Range2.2959771 × 109
Interquartile range (IQR)2.2332152 × 109

Descriptive statistics

Standard deviation1.1164064 × 109
Coefficient of variation (CV)0.00011403386
Kurtosis-2.024658
Mean9.7901307 × 1012
Median Absolute Deviation (MAD)38494763
Skewness-0.12234744
Sum9.7901307 × 1014
Variance1.2463632 × 1018
MonotonicityNot monotonic
2023-12-10T18:46:34.546426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788965781325 1
 
1.0%
9788925592961 1
 
1.0%
9788984374294 1
 
1.0%
9788954682374 1
 
1.0%
9791190153218 1
 
1.0%
9791162790700 1
 
1.0%
9791160406207 1
 
1.0%
9788932038933 1
 
1.0%
9788950996178 1
 
1.0%
9788925580104 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9788901251509 1
1.0%
9788911128549 1
1.0%
9788925547602 1
1.0%
9788925564746 1
1.0%
9788925579870 1
1.0%
9788925580104 1
1.0%
9788925588452 1
1.0%
9788925588636 1
1.0%
9788925588698 1
1.0%
9788925592961 1
1.0%
ValueCountFrequency (%)
9791197228575 1
1.0%
9791197221514 1
1.0%
9791197037191 1
1.0%
9791196169862 1
1.0%
9791191745030 1
1.0%
9791191517101 1
1.0%
9791191462029 1
1.0%
9791191393361 1
1.0%
9791191393200 1
1.0%
9791191253368 1
1.0%

ea_add_code
Real number (ℝ)

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30799.5
Minimum3100
Maximum77870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:34.802036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3100
5-th percentile3180
Q13400
median4835
Q377810
95-th percentile77860
Maximum77870
Range74770
Interquartile range (IQR)74410

Descriptive statistics

Standard deviation34947.233
Coefficient of variation (CV)1.1346689
Kurtosis-1.6776036
Mean30799.5
Median Absolute Deviation (MAD)1665
Skewness0.58315241
Sum3079950
Variance1.2213091 × 109
MonotonicityNot monotonic
2023-12-10T18:46:35.119534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3810 13
 
13.0%
77810 13
 
13.0%
3320 9
 
9.0%
3370 5
 
5.0%
7810 5
 
5.0%
3180 4
 
4.0%
77860 4
 
4.0%
77840 3
 
3.0%
4810 3
 
3.0%
77870 3
 
3.0%
Other values (31) 38
38.0%
ValueCountFrequency (%)
3100 2
 
2.0%
3160 1
 
1.0%
3180 4
4.0%
3190 1
 
1.0%
3220 1
 
1.0%
3230 1
 
1.0%
3300 1
 
1.0%
3320 9
9.0%
3370 5
5.0%
3410 1
 
1.0%
ValueCountFrequency (%)
77870 3
 
3.0%
77860 4
 
4.0%
77850 1
 
1.0%
77840 3
 
3.0%
77830 2
 
2.0%
77810 13
13.0%
77800 1
 
1.0%
77650 1
 
1.0%
74890 1
 
1.0%
74830 1
 
1.0%

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

2023-12-10T18:46:35.417175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:35.592830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

vol_code
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)73.1%
Missing74
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean107.53846
Minimum1
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:35.816426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q12.25
median11
Q317.75
95-th percentile318.25
Maximum2000
Range1999
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation393.58905
Coefficient of variation (CV)3.659984
Kurtosis23.810912
Mean107.53846
Median Absolute Deviation (MAD)8.5
Skewness4.8190899
Sum2796
Variance154912.34
MonotonicityNot monotonic
2023-12-10T18:46:36.161069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 5
 
5.0%
1 2
 
2.0%
10 2
 
2.0%
17 2
 
2.0%
12 1
 
1.0%
3 1
 
1.0%
7 1
 
1.0%
16 1
 
1.0%
9 1
 
1.0%
30 1
 
1.0%
Other values (9) 9
 
9.0%
(Missing) 74
74.0%
ValueCountFrequency (%)
1 2
 
2.0%
2 5
5.0%
3 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
10 2
 
2.0%
12 1
 
1.0%
13 1
 
1.0%
15 1
 
1.0%
ValueCountFrequency (%)
2000 1
1.0%
394 1
1.0%
91 1
1.0%
72 1
1.0%
42 1
1.0%
30 1
1.0%
18 1
1.0%
17 2
2.0%
16 1
1.0%
15 1
1.0%

copy_code
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
99 
2
 
1

Length

Max length4
Median length4
Mean length3.97
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 99
99.0%
2 1
 
1.0%

Length

2023-12-10T18:46:36.434743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:36.632124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 99
99.0%
2 1
 
1.0%

reg_date
Date

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2021-10-17 12:00:00
Maximum2021-11-18 12:00:00
2023-12-10T18:46:36.777745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:46:37.011729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

isbn13_origin
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7901307 × 1012
Minimum9.7889013 × 1012
Maximum9.7911972 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:37.297045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.7889013 × 1012
5-th percentile9.7889256 × 1012
Q19.7889547 × 1012
median9.7911581 × 1012
Q39.791188 × 1012
95-th percentile9.7911915 × 1012
Maximum9.7911972 × 1012
Range2.2959771 × 109
Interquartile range (IQR)2.2332152 × 109

Descriptive statistics

Standard deviation1.1164064 × 109
Coefficient of variation (CV)0.00011403386
Kurtosis-2.024658
Mean9.7901307 × 1012
Median Absolute Deviation (MAD)38494763
Skewness-0.12234744
Sum9.7901307 × 1014
Variance1.2463632 × 1018
MonotonicityNot monotonic
2023-12-10T18:46:37.625740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9788965781325 1
 
1.0%
9788925592961 1
 
1.0%
9788984374294 1
 
1.0%
9788954682374 1
 
1.0%
9791190153218 1
 
1.0%
9791162790700 1
 
1.0%
9791160406207 1
 
1.0%
9788932038933 1
 
1.0%
9788950996178 1
 
1.0%
9788925580104 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
9788901251509 1
1.0%
9788911128549 1
1.0%
9788925547602 1
1.0%
9788925564746 1
1.0%
9788925579870 1
1.0%
9788925580104 1
1.0%
9788925588452 1
1.0%
9788925588636 1
1.0%
9788925588698 1
1.0%
9788925592961 1
1.0%
ValueCountFrequency (%)
9791197228575 1
1.0%
9791197221514 1
1.0%
9791197037191 1
1.0%
9791196169862 1
1.0%
9791191745030 1
1.0%
9791191517101 1
1.0%
9791191462029 1
1.0%
9791191393361 1
1.0%
9791191393200 1
1.0%
9791191253368 1
1.0%

master_lib_code
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1500
75 
1400
22 
8100
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1500
2nd row8100
3rd row1500
4th row1500
5th row1500

Common Values

ValueCountFrequency (%)
1500 75
75.0%
1400 22
 
22.0%
8100 3
 
3.0%

Length

2023-12-10T18:46:37.860550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:38.050935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1500 75
75.0%
1400 22
 
22.0%
8100 3
 
3.0%

exist_vol
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
74 
True
26 
ValueCountFrequency (%)
False 74
74.0%
True 26
 
26.0%
2023-12-10T18:46:38.218076image/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%
2023-12-10T18:46:38.350271image/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

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T18:46:38.793153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length28
Mean length14.78
Min length2

Characters and Unicode

Total characters1478
Distinct characters385
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

Unique90 ?
Unique (%)90.0%

Sample

1st row알수록다시보는서양미술100그림이알려주지않는그림속숨겨진이야기
2nd row냉장고안에서무슨일이
3rd row하루1질문초등글쓰기의기적
4th row공부머리만드는그림책놀이일년열두달호기심을북돋는그림책대화에서읽기능력키우는그림책놀이까지
5th row그렇다면나를응원할수밖에멋대로지만제대로사는중입니다김수민에세이
ValueCountFrequency (%)
윈드브레이커windbreaker 4
 
4.0%
와일드카드 2
 
2.0%
내일 2
 
2.0%
코코와샘 2
 
2.0%
남남정영롱만화 1
 
1.0%
페르마타,이탈리아퇴고할수없는시간 1
 
1.0%
볼펜의시간김유원장편소설 1
 
1.0%
0를향하여서이제소설집 1
 
1.0%
29초tm로건장편소설 1
 
1.0%
세계가변해도결코변하지않는돈의본능 1
 
1.0%
Other values (84) 84
84.0%
2023-12-10T18:46:39.648268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 42
 
2.8%
의 37
 
2.5%
는 35
 
2.4%
에 28
 
1.9%
한 24
 
1.6%
다 24
 
1.6%
기 17
 
1.2%
나 17
 
1.2%
아 17
 
1.2%
을 16
 
1.1%
Other values (375) 1221
82.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1355
91.7%
Lowercase Letter 89
 
6.0%
Decimal Number 29
 
2.0%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 42
 
3.1%
의 37
 
2.7%
는 35
 
2.6%
에 28
 
2.1%
한 24
 
1.8%
다 24
 
1.8%
기 17
 
1.3%
나 17
 
1.3%
아 17
 
1.3%
을 16
 
1.2%
Other values (348) 1098
81.0%
Lowercase Letter
ValueCountFrequency (%)
e 14
15.7%
r 10
11.2%
n 8
9.0%
i 8
9.0%
b 7
7.9%
k 6
 
6.7%
w 6
 
6.7%
a 6
 
6.7%
d 5
 
5.6%
s 4
 
4.5%
Other values (9) 15
16.9%
Decimal Number
ValueCountFrequency (%)
0 8
27.6%
1 8
27.6%
2 4
13.8%
4 4
13.8%
9 2
 
6.9%
5 2
 
6.9%
3 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1355
91.7%
Latin 89
 
6.0%
Common 34
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 42
 
3.1%
의 37
 
2.7%
는 35
 
2.6%
에 28
 
2.1%
한 24
 
1.8%
다 24
 
1.8%
기 17
 
1.3%
나 17
 
1.3%
아 17
 
1.3%
을 16
 
1.2%
Other values (348) 1098
81.0%
Latin
ValueCountFrequency (%)
e 14
15.7%
r 10
11.2%
n 8
9.0%
i 8
9.0%
b 7
7.9%
k 6
 
6.7%
w 6
 
6.7%
a 6
 
6.7%
d 5
 
5.6%
s 4
 
4.5%
Other values (9) 15
16.9%
Common
ValueCountFrequency (%)
0 8
23.5%
1 8
23.5%
, 5
14.7%
2 4
11.8%
4 4
11.8%
9 2
 
5.9%
5 2
 
5.9%
3 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1355
91.7%
ASCII 123
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 42
 
3.1%
의 37
 
2.7%
는 35
 
2.6%
에 28
 
2.1%
한 24
 
1.8%
다 24
 
1.8%
기 17
 
1.3%
나 17
 
1.3%
아 17
 
1.3%
을 16
 
1.2%
Other values (348) 1098
81.0%
ASCII
ValueCountFrequency (%)
e 14
 
11.4%
r 10
 
8.1%
0 8
 
6.5%
1 8
 
6.5%
n 8
 
6.5%
i 8
 
6.5%
b 7
 
5.7%
k 6
 
4.9%
w 6
 
4.9%
a 6
 
4.9%
Other values (17) 42
34.1%

kdc
Real number (ℝ)

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.63746
Minimum1.3
Maximum981.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:46:39.928594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile108.95
Q1327.856
median813.7
Q3819.425
95-th percentile863
Maximum981.1
Range979.8
Interquartile range (IQR)491.569

Descriptive statistics

Standard deviation276.31972
Coefficient of variation (CV)0.43815938
Kurtosis-0.85333706
Mean630.63746
Median Absolute Deviation (MAD)34.6
Skewness-0.87558516
Sum63063.746
Variance76352.588
MonotonicityNot monotonic
2023-12-10T18:46:40.200142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
813.8 12
 
12.0%
813.7 10
 
10.0%
863.0 5
 
5.0%
843.0 5
 
5.0%
833.6 5
 
5.0%
818.0 4
 
4.0%
698.87 4
 
4.0%
808.9 4
 
4.0%
873.0 3
 
3.0%
325.211 3
 
3.0%
Other values (38) 45
45.0%
ValueCountFrequency (%)
1.3 1
1.0%
29.8 1
1.0%
31.0 1
1.0%
104.0 1
1.0%
108.0 1
1.0%
109.0 1
1.0%
151.581 1
1.0%
160.0 1
1.0%
181.4 1
1.0%
186.5 1
1.0%
ValueCountFrequency (%)
981.1 1
 
1.0%
873.0 3
3.0%
863.0 5
5.0%
853.0 1
 
1.0%
843.6 1
 
1.0%
843.0 5
5.0%
839.64 1
 
1.0%
833.8 2
 
2.0%
833.6 5
5.0%
823.7 1
 
1.0%

separate_shelf_code
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing96
Missing (%)96.0%
Memory size932.0 B
2023-12-10T18:46:40.461152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters8
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowA유
2nd rowA유
3rd rowA점
4th rowAD
ValueCountFrequency (%)
a유 2
50.0%
a점 1
25.0%
ad 1
25.0%
2023-12-10T18:46:40.933398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 4
50.0%
유 2
25.0%
점 1
 
12.5%
D 1
 
12.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 5
62.5%
Other Letter 3
37.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 4
80.0%
D 1
 
20.0%
Other Letter
ValueCountFrequency (%)
유 2
66.7%
점 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 5
62.5%
Hangul 3
37.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 4
80.0%
D 1
 
20.0%
Hangul
ValueCountFrequency (%)
유 2
66.7%
점 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
62.5%
Hangul 3
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 4
80.0%
D 1
 
20.0%
Hangul
ValueCountFrequency (%)
유 2
66.7%
점 1
33.3%

shelf_loc_code
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
75 
101
21 
A03
 
2
A05
 
1
116
 
1

Length

Max length4
Median length4
Mean length3.75
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd rowA03
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 75
75.0%
101 21
 
21.0%
A03 2
 
2.0%
A05 1
 
1.0%
116 1
 
1.0%

Length

2023-12-10T18:46:41.215058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:46:41.530198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
75.0%
101 21
 
21.0%
a03 2
 
2.0%
a05 1
 
1.0%
116 1
 
1.0%

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
0424851234차홍규,김성진 엮음<NA>2018609.2차95서(알수록 다시 보는) 서양 미술 100:그림이 알려주지 않는 그림 속 숨겨진 이야기15019788965781325YBGM0000498191MBPRGMPU<NA>978896578132576501<NA><NA>2021-10-17 12:00:00.097889657813251500NN<NA>알수록다시보는서양미술100그림이알려주지않는그림속숨겨진이야기609.2<NA><NA>
1106669244우에다 시게코 지음;김숙 옮김<NA>2021833.6우64ㄴ냉장고 안에서 무슨 일이?81009788930261944YAEM0005475901MAPRGMPU<NA>9788930261944738301<NA><NA>2021-11-18 12:00:00.097889302619448100NN<NA>냉장고안에서무슨일이833.6A유A03
2424851281윤희솔 지음<NA>2021375.4802윤97하하루 1 질문 초등 글쓰기의 기적15019788925588698YBGM0000498211MBPRGMPU글쓰기 좋은 질문 50 워크북 1책 (103 p.)9788925588698135901<NA><NA>2021-10-17 12:00:00.097889255886981500NN<NA>하루1질문초등글쓰기의기적375.4802<NA><NA>
3424851307박형주,김지연 지음<NA>202029.8박94그(공부머리 만드는)그림책 놀이 일 년 열두 달:호기심을 북돋는 그림책 대화에서 읽기 능력 키우는 그림책 놀이까지15019788988964477YBGM0000498221MBPRGMPU<NA>978898896447733701<NA><NA>2021-10-17 12:00:00.097889889644771500NN<NA>공부머리만드는그림책놀이일년열두달호기심을북돋는그림책대화에서읽기능력키우는그림책놀이까지29.8<NA><NA>
4424851367김수민 지음<NA>2021818.0김56그그렇다면 나를 응원할 수밖에 :멋대로지만 제대로 사는 중입니다 :김수민 에세이15019791197037191YBGM0000498231MBPRGMPU<NA>979119703719138101<NA><NA>2021-10-17 12:00:00.097911970371911500NN<NA>그렇다면나를응원할수밖에멋대로지만제대로사는중입니다김수민에세이818.0<NA><NA>
5424851404데구치 하루아키 지음 ;서수지 엮음<NA>2021109.0데16철철학과 종교의 세계사:태초부터 인간이 품었던 두 가지 물음에 대한 사상사15019788972917434YBGM0000498241MBPRGMPU<NA>978897291743431001<NA><NA>2021-10-17 12:00:00.097889729174341500NN<NA>철학과종교의세계사태초부터인간이품었던두가지물음에대한사상사109.0<NA><NA>
6424851416장현갑 지음<NA>2019186.5장94명명상이 뇌를 바꾼다 :괴로운 뇌를 행복한 뇌로 바꿔 주는 마음 수련15019788974796631YBGM0000498251MBPRGMPU<NA>978897479663131801<NA><NA>2021-10-17 12:00:00.097889747966311500NN<NA>명상이뇌를바꾼다괴로운뇌를행복한뇌로바꿔주는마음수련186.5<NA><NA>
7106669248김삼현 글·그림722021810.8네44(뿜빠뿜빠) 노래하는 자동차81009791165796402YAEM0005475911MAPRGMPU<NA>979116579640277810172<NA>2021-11-18 12:00:00.097911657964028100YN<NA>뿜빠뿜빠노래하는자동차810.8A유A03
8424851476우 조티카 사야도 지음 ;최순용 옮김<NA>2017224.3조888붓붓다의 무릎에 앉아15019788955968187YBGM0000498271MBPRGMPU<NA>978895596818732201<NA><NA>2021-10-17 12:00:00.097889559681871500NN<NA>붓다의무릎에앉아224.3<NA><NA>
9424851507지식채널ⓔ 제작팀 지음 ;이숙,이선화 해설 글<NA>20211.3지58이EBS 지식채널ⓔ X 생각의 힘 =Power of thinking15019788954759137YBGM0000498281MBPRGMPU<NA>978895475913743001<NA><NA>2021-10-17 12:00:00.097889547591371500NN<NA>ebs지식채널x생각의powerofthinking1.3<NA><NA>
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
9032297486467황선미 글;김동성 그림<NA>2021813.8황54ㅅ소꿉놀이가 끝나면14029791160947465YBM00000261861MBPRCLJU<NA>9791160947465778101<NA><NA>2021-10-17 12:00:00.097911609474651400NN<NA>소꿉놀이가끝나면813.8<NA>101
9132297486479무돌 글·그림<NA>2021813.8무25ㄱ괴물들이 사는 궁궐14029791159952647YBM00000261871MBPRCLJU<NA>9791159952647778101<NA><NA>2021-10-17 12:00:00.097911599526471400NN<NA>괴물들이사는궁궐813.8<NA>101
9232297486491진수경 글·그림<NA>2021813.8진56ㄷ두근두근 2424:진수경 그림책14029791190689274YBM00000261881MBPRCLJU<NA>9791190689274778101<NA><NA>2021-10-17 12:00:00.097911906892741400NN<NA>두근두근2424진수경그림책813.8<NA>101
9332297486503김나은 글;장현정 그림<NA>2021813.8김192ㅅ쉿! 비구름14029791190689267YBM00000261891MBPRCLJU<NA>9791190689267778101<NA><NA>2021-10-17 12:00:00.097911906892671400NN<NA>쉿비구름813.8<NA>101
9432297486515생 순 라타나반 글·그림;이경혜 옮김<NA>2021863.0라882ㄱ그날 밤 무슨 일이…14029788983899170YBM00000261901MBPRCLJU<NA>9788983899170778601<NA><NA>2021-10-17 12:00:00.097889838991701400NN<NA>그날밤무슨일이863.0<NA>101
9532297486527전미화 지음<NA>2021813.8전38ㅅ섬섬은 고양이다14029788936455682YBM00000261911MBPRCLJU<NA>9788936455682778101<NA><NA>2021-10-17 12:00:00.097889364556821400NN<NA>섬섬은고양이다813.8<NA>101
9632297486539사토 메구미 지음;황진희 옮김<NA>2021833.8사885ㄸ딸기와 팡이14029791190931564YBM00000261921MBPRCLJU<NA>9791190931564778301<NA><NA>2021-10-17 12:00:00.097911909315641400NN<NA>딸기와팡이833.8<NA>101
9732297486551나타샤 로젠베르크 글·그림;성초림 옮김<NA>2021873.0로74ㄹ레아의 여행14029788911128549YBM00000261931MBPRCLJU<NA>9788911128549778701<NA><NA>2021-10-17 12:00:00.097889111285491400NN<NA>레아의여행873.0<NA>101
9832297486563폴린 들라브루와-알라르 글;까미유 주르디 그림;윤민정 옮김<NA>2021863.0들292ㅁ물 난리:한밤중의 탄생 판타지 여행14029791190557146YBM00000261941MBPRCLJU<NA>9791190557146778001<NA><NA>2021-10-17 12:00:00.097911905571461400NN<NA>물난리한밤중의탄생판타지여행863.0<NA>101
9932297486575토베 얀손 원작;필리파 비들룬드 그림;이유진 옮김<NA>2021839.64얀55ㅁ무민 가족과 바다 대모험14029791160266061YBM00000261951MBPRCLJU<NA>9791160266061748901<NA><NA>2021-10-17 12:00:00.097911602660611400NN<NA>무민가족과바다대모험839.64<NA>101