Overview

Dataset statistics

Number of variables7
Number of observations1857
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory107.1 KiB
Average record size in memory59.1 B

Variable types

Text3
Numeric3
Categorical1

Dataset

Description전주시 내 12개 도서관 대출 가능한 도서목록에 대한 데이터로 등록번호, 서명, 저자명, 청구기호, 소장자료실 정보를 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=10&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3069075

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
정가 is highly overall correlated with 합계 High correlation
합계 is highly overall correlated with 정가 High correlation

Reproduction

Analysis started2024-03-14 00:43:10.794494
Analysis finished2024-03-14 00:43:12.538799
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명
Text

Distinct1747
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2024-03-14T09:43:12.791445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length62
Mean length22.932687
Min length1

Characters and Unicode

Total characters42586
Distinct characters1049
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1658 ?
Unique (%)89.3%

Sample

1st rowThe Big Fat Cow That Goes Kapow
2nd row아삭아삭 배추김치
3rd row텔레비전책 (춤추는 카멜레온)
4th row장시간 발효 빵(후쿠오카 팽 스톡(pain stock)의) (후쿠오카 팽 스톡(pain stock)의)
5th row밀밭에서 빵을 굽다 (좌충우돌 빵덕후의 동네빵집 운영기)
ValueCountFrequency (%)
168
 
1.6%
the 97
 
0.9%
1 65
 
0.6%
위한 60
 
0.6%
2 57
 
0.6%
그림책 46
 
0.4%
and 43
 
0.4%
내 38
 
0.4%
이야기 38
 
0.4%
우리 37
 
0.4%
Other values (5562) 9710
93.7%
2024-03-14T09:43:13.263482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8556
 
20.1%
( 887
 
2.1%
) 887
 
2.1%
의 738
 
1.7%
이 699
 
1.6%
e 600
 
1.4%
는 564
 
1.3%
a 436
 
1.0%
o 428
 
1.0%
r 422
 
1.0%
Other values (1039) 28369
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24594
57.8%
Space Separator 8556
 
20.1%
Lowercase Letter 4698
 
11.0%
Uppercase Letter 1240
 
2.9%
Open Punctuation 895
 
2.1%
Close Punctuation 895
 
2.1%
Decimal Number 880
 
2.1%
Other Punctuation 639
 
1.5%
Dash Punctuation 139
 
0.3%
Math Symbol 19
 
< 0.1%
Other values (3) 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 738
 
3.0%
이 699
 
2.8%
는 564
 
2.3%
기 351
 
1.4%
한 344
 
1.4%
사 336
 
1.4%
리 336
 
1.4%
가 327
 
1.3%
다 322
 
1.3%
아 295
 
1.2%
Other values (948) 20282
82.5%
Lowercase Letter
ValueCountFrequency (%)
e 600
12.8%
a 436
 
9.3%
o 428
 
9.1%
r 422
 
9.0%
t 359
 
7.6%
i 320
 
6.8%
n 284
 
6.0%
s 250
 
5.3%
h 219
 
4.7%
d 195
 
4.2%
Other values (16) 1185
25.2%
Uppercase Letter
ValueCountFrequency (%)
S 115
 
9.3%
T 112
 
9.0%
C 107
 
8.6%
H 87
 
7.0%
M 85
 
6.9%
B 82
 
6.6%
D 75
 
6.0%
P 63
 
5.1%
A 56
 
4.5%
I 55
 
4.4%
Other values (16) 403
32.5%
Other Punctuation
ValueCountFrequency (%)
, 274
42.9%
! 132
20.7%
: 74
 
11.6%
? 65
 
10.2%
. 48
 
7.5%
& 15
 
2.3%
# 13
 
2.0%
/ 6
 
0.9%
· 6
 
0.9%
% 3
 
0.5%
Other values (2) 3
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 237
26.9%
2 165
18.8%
0 156
17.7%
3 86
 
9.8%
5 59
 
6.7%
4 47
 
5.3%
9 38
 
4.3%
8 33
 
3.8%
6 33
 
3.8%
7 26
 
3.0%
Math Symbol
ValueCountFrequency (%)
+ 8
42.1%
| 6
31.6%
~ 4
21.1%
= 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 887
99.1%
[ 7
 
0.8%
『 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 887
99.1%
] 7
 
0.8%
』 1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 16
94.1%
” 1
 
5.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 12
92.3%
“ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
8556
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24555
57.7%
Common 12054
28.3%
Latin 5938
 
13.9%
Hiragana 20
 
< 0.1%
Han 12
 
< 0.1%
Katakana 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 738
 
3.0%
이 699
 
2.8%
는 564
 
2.3%
기 351
 
1.4%
한 344
 
1.4%
사 336
 
1.4%
리 336
 
1.4%
가 327
 
1.3%
다 322
 
1.3%
아 295
 
1.2%
Other values (915) 20243
82.4%
Latin
ValueCountFrequency (%)
e 600
 
10.1%
a 436
 
7.3%
o 428
 
7.2%
r 422
 
7.1%
t 359
 
6.0%
i 320
 
5.4%
n 284
 
4.8%
s 250
 
4.2%
h 219
 
3.7%
d 195
 
3.3%
Other values (42) 2425
40.8%
Common
ValueCountFrequency (%)
8556
71.0%
( 887
 
7.4%
) 887
 
7.4%
, 274
 
2.3%
1 237
 
2.0%
2 165
 
1.4%
0 156
 
1.3%
- 139
 
1.2%
! 132
 
1.1%
3 86
 
0.7%
Other values (29) 535
 
4.4%
Hiragana
ValueCountFrequency (%)
の 3
15.0%
な 2
10.0%
に 2
10.0%
ん 2
10.0%
あ 2
10.0%
え 1
 
5.0%
み 1
 
5.0%
き 1
 
5.0%
か 1
 
5.0%
る 1
 
5.0%
Other values (4) 4
20.0%
Han
ValueCountFrequency (%)
猫 1
8.3%
饒 1
8.3%
海 1
8.3%
第 1
8.3%
卷 1
8.3%
春 1
8.3%
雪 1
8.3%
性 1
8.3%
豊 1
8.3%
勿 1
8.3%
Other values (2) 2
16.7%
Katakana
ValueCountFrequency (%)
パ 1
14.3%
フ 1
14.3%
ェ 1
14.3%
ク 1
14.3%
ト 1
14.3%
ブ 1
14.3%
ル 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24551
57.7%
ASCII 17953
42.2%
Punctuation 30
 
0.1%
Hiragana 20
 
< 0.1%
CJK 12
 
< 0.1%
None 9
 
< 0.1%
Katakana 7
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8556
47.7%
( 887
 
4.9%
) 887
 
4.9%
e 600
 
3.3%
a 436
 
2.4%
o 428
 
2.4%
r 422
 
2.4%
t 359
 
2.0%
i 320
 
1.8%
n 284
 
1.6%
Other values (73) 4774
26.6%
Hangul
ValueCountFrequency (%)
의 738
 
3.0%
이 699
 
2.8%
는 564
 
2.3%
기 351
 
1.4%
한 344
 
1.4%
사 336
 
1.4%
리 336
 
1.4%
가 327
 
1.3%
다 322
 
1.3%
아 295
 
1.2%
Other values (912) 20239
82.4%
Punctuation
ValueCountFrequency (%)
’ 16
53.3%
‘ 12
40.0%
“ 1
 
3.3%
” 1
 
3.3%
None
ValueCountFrequency (%)
· 6
66.7%
＆ 1
 
11.1%
『 1
 
11.1%
』 1
 
11.1%
Hiragana
ValueCountFrequency (%)
の 3
15.0%
な 2
10.0%
に 2
10.0%
ん 2
10.0%
あ 2
10.0%
え 1
 
5.0%
み 1
 
5.0%
き 1
 
5.0%
か 1
 
5.0%
る 1
 
5.0%
Other values (4) 4
20.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 2
50.0%
ㆍ 1
25.0%
ㅎ 1
25.0%
CJK
ValueCountFrequency (%)
猫 1
8.3%
饒 1
8.3%
海 1
8.3%
第 1
8.3%
卷 1
8.3%
春 1
8.3%
雪 1
8.3%
性 1
8.3%
豊 1
8.3%
勿 1
8.3%
Other values (2) 2
16.7%
Katakana
ValueCountFrequency (%)
パ 1
14.3%
フ 1
14.3%
ェ 1
14.3%
ク 1
14.3%
ト 1
14.3%
ブ 1
14.3%
ル 1
14.3%

지은이
Text

Distinct1463
Distinct (%)78.8%
Missing1
Missing (%)0.1%
Memory size14.6 KiB
2024-03-14T09:43:13.522805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length72
Mean length7.033944
Min length1

Characters and Unicode

Total characters13055
Distinct characters620
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1221 ?
Unique (%)65.8%

Sample

1st row앤디 그리피스
2nd row동백
3rd row천미진
4th row히라야마 데쓰오
5th row이성규
ValueCountFrequency (%)
지은이 105
 
3.4%
옮긴이 38
 
1.2%
외 36
 
1.2%
그림 20
 
0.6%
레이코 16
 
0.5%
히로시마 16
 
0.5%
holub 10
 
0.3%
편집부 10
 
0.3%
joan 9
 
0.3%
글 9
 
0.3%
Other values (2065) 2851
91.4%
2024-03-14T09:43:13.906863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1325
 
10.1%
이 525
 
4.0%
김 243
 
1.9%
지 233
 
1.8%
e 227
 
1.7%
a 213
 
1.6%
| 210
 
1.6%
) 203
 
1.6%
( 203
 
1.6%
n 200
 
1.5%
Other values (610) 9473
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8379
64.2%
Lowercase Letter 1876
 
14.4%
Space Separator 1325
 
10.1%
Uppercase Letter 620
 
4.7%
Other Punctuation 223
 
1.7%
Math Symbol 210
 
1.6%
Close Punctuation 204
 
1.6%
Open Punctuation 204
 
1.6%
Decimal Number 13
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 525
 
6.3%
김 243
 
2.9%
지 233
 
2.8%
은 195
 
2.3%
스 194
 
2.3%
리 185
 
2.2%
정 170
 
2.0%
영 110
 
1.3%
라 102
 
1.2%
미 102
 
1.2%
Other values (543) 6320
75.4%
Lowercase Letter
ValueCountFrequency (%)
e 227
12.1%
a 213
11.4%
n 200
10.7%
o 178
9.5%
r 144
 
7.7%
l 140
 
7.5%
i 112
 
6.0%
t 108
 
5.8%
s 103
 
5.5%
d 64
 
3.4%
Other values (15) 387
20.6%
Uppercase Letter
ValueCountFrequency (%)
S 61
 
9.8%
A 47
 
7.6%
L 46
 
7.4%
J 44
 
7.1%
T 42
 
6.8%
B 37
 
6.0%
C 36
 
5.8%
M 36
 
5.8%
H 34
 
5.5%
R 32
 
5.2%
Other values (14) 205
33.1%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
0 2
 
15.4%
3 1
 
7.7%
9 1
 
7.7%
2 1
 
7.7%
5 1
 
7.7%
6 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 176
78.9%
. 44
 
19.7%
; 2
 
0.9%
· 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 203
99.5%
〉 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 203
99.5%
〈 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1325
100.0%
Math Symbol
ValueCountFrequency (%)
| 210
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8374
64.1%
Latin 2496
 
19.1%
Common 2180
 
16.7%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 525
 
6.3%
김 243
 
2.9%
지 233
 
2.8%
은 195
 
2.3%
스 194
 
2.3%
리 185
 
2.2%
정 170
 
2.0%
영 110
 
1.3%
라 102
 
1.2%
미 102
 
1.2%
Other values (538) 6315
75.4%
Latin
ValueCountFrequency (%)
e 227
 
9.1%
a 213
 
8.5%
n 200
 
8.0%
o 178
 
7.1%
r 144
 
5.8%
l 140
 
5.6%
i 112
 
4.5%
t 108
 
4.3%
s 103
 
4.1%
d 64
 
2.6%
Other values (39) 1007
40.3%
Common
ValueCountFrequency (%)
1325
60.8%
| 210
 
9.6%
) 203
 
9.3%
( 203
 
9.3%
, 176
 
8.1%
. 44
 
2.0%
1 6
 
0.3%
0 2
 
0.1%
; 2
 
0.1%
〉 1
 
< 0.1%
Other values (8) 8
 
0.4%
Han
ValueCountFrequency (%)
世 1
20.0%
千 1
20.0%
芝 1
20.0%
我 1
20.0%
治 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8372
64.1%
ASCII 4673
35.8%
CJK 5
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1325
28.4%
e 227
 
4.9%
a 213
 
4.6%
| 210
 
4.5%
) 203
 
4.3%
( 203
 
4.3%
n 200
 
4.3%
o 178
 
3.8%
, 176
 
3.8%
r 144
 
3.1%
Other values (54) 1594
34.1%
Hangul
ValueCountFrequency (%)
이 525
 
6.3%
김 243
 
2.9%
지 233
 
2.8%
은 195
 
2.3%
스 194
 
2.3%
리 185
 
2.2%
정 170
 
2.0%
영 110
 
1.3%
라 102
 
1.2%
미 102
 
1.2%
Other values (537) 6313
75.4%
Compat Jamo
ValueCountFrequency (%)
ㅣ 2
100.0%
None
ValueCountFrequency (%)
〉 1
33.3%
〈 1
33.3%
· 1
33.3%
CJK
ValueCountFrequency (%)
世 1
20.0%
千 1
20.0%
芝 1
20.0%
我 1
20.0%
治 1
20.0%

출판사
Text

Distinct823
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
2024-03-14T09:43:14.188788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length5.4399569
Min length1

Characters and Unicode

Total characters10102
Distinct characters514
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique487 ?
Unique (%)26.2%

Sample

1st rowTurtlebackBooks
2nd row쉼어린이
3rd row키즈엠
4th row터닝포인트
5th row인문공간
ValueCountFrequency (%)
위즈덤하우스 46
 
2.4%
창비 35
 
1.9%
문학동네 30
 
1.6%
웅진주니어 28
 
1.5%
사계절 22
 
1.2%
스푼북 19
 
1.0%
민음사 18
 
1.0%
21세기북스 18
 
1.0%
주니어김영사 18
 
1.0%
미래엔아이세움 15
 
0.8%
Other values (823) 1640
86.8%
2024-03-14T09:43:14.606607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 348
 
3.4%
o 263
 
2.6%
북 241
 
2.4%
이 228
 
2.3%
사 211
 
2.1%
e 200
 
2.0%
어 177
 
1.8%
r 173
 
1.7%
s 172
 
1.7%
n 153
 
1.5%
Other values (504) 7936
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7132
70.6%
Lowercase Letter 2042
 
20.2%
Uppercase Letter 632
 
6.3%
Close Punctuation 78
 
0.8%
Open Punctuation 78
 
0.8%
Decimal Number 52
 
0.5%
Space Separator 49
 
0.5%
Other Punctuation 39
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 348
 
4.9%
북 241
 
3.4%
이 228
 
3.2%
사 211
 
3.0%
어 177
 
2.5%
아 119
 
1.7%
비 108
 
1.5%
니 106
 
1.5%
리 103
 
1.4%
문 97
 
1.4%
Other values (442) 5394
75.6%
Lowercase Letter
ValueCountFrequency (%)
o 263
12.9%
e 200
 
9.8%
r 173
 
8.5%
s 172
 
8.4%
n 153
 
7.5%
i 149
 
7.3%
l 128
 
6.3%
a 120
 
5.9%
k 91
 
4.5%
c 90
 
4.4%
Other values (15) 503
24.6%
Uppercase Letter
ValueCountFrequency (%)
B 85
13.4%
S 62
 
9.8%
P 50
 
7.9%
H 49
 
7.8%
C 41
 
6.5%
A 41
 
6.5%
O 39
 
6.2%
M 30
 
4.7%
K 27
 
4.3%
R 23
 
3.6%
Other values (14) 185
29.3%
Decimal Number
ValueCountFrequency (%)
2 26
50.0%
1 22
42.3%
3 1
 
1.9%
4 1
 
1.9%
0 1
 
1.9%
7 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 26
66.7%
. 8
 
20.5%
, 3
 
7.7%
# 2
 
5.1%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7125
70.5%
Latin 2674
 
26.5%
Common 296
 
2.9%
Katakana 6
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 348
 
4.9%
북 241
 
3.4%
이 228
 
3.2%
사 211
 
3.0%
어 177
 
2.5%
아 119
 
1.7%
비 108
 
1.5%
니 106
 
1.5%
리 103
 
1.4%
문 97
 
1.4%
Other values (435) 5387
75.6%
Latin
ValueCountFrequency (%)
o 263
 
9.8%
e 200
 
7.5%
r 173
 
6.5%
s 172
 
6.4%
n 153
 
5.7%
i 149
 
5.6%
l 128
 
4.8%
a 120
 
4.5%
k 91
 
3.4%
c 90
 
3.4%
Other values (39) 1135
42.4%
Common
ValueCountFrequency (%)
) 78
26.4%
( 78
26.4%
49
16.6%
2 26
 
8.8%
& 26
 
8.8%
1 22
 
7.4%
. 8
 
2.7%
, 3
 
1.0%
# 2
 
0.7%
3 1
 
0.3%
Other values (3) 3
 
1.0%
Katakana
ValueCountFrequency (%)
グ 1
16.7%
ラ 1
16.7%
フ 1
16.7%
ィ 1
16.7%
ッ 1
16.7%
ク 1
16.7%
Han
ValueCountFrequency (%)
社 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7125
70.5%
ASCII 2970
29.4%
Katakana 6
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 348
 
4.9%
북 241
 
3.4%
이 228
 
3.2%
사 211
 
3.0%
어 177
 
2.5%
아 119
 
1.7%
비 108
 
1.5%
니 106
 
1.5%
리 103
 
1.4%
문 97
 
1.4%
Other values (435) 5387
75.6%
ASCII
ValueCountFrequency (%)
o 263
 
8.9%
e 200
 
6.7%
r 173
 
5.8%
s 172
 
5.8%
n 153
 
5.2%
i 149
 
5.0%
l 128
 
4.3%
a 120
 
4.0%
k 91
 
3.1%
c 90
 
3.0%
Other values (52) 1431
48.2%
Katakana
ValueCountFrequency (%)
グ 1
16.7%
ラ 1
16.7%
フ 1
16.7%
ィ 1
16.7%
ッ 1
16.7%
ク 1
16.7%
CJK
ValueCountFrequency (%)
社 1
100.0%

정가
Real number (ℝ)

HIGH CORRELATION 

Distinct200
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15431.452
Minimum4830
Maximum99000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T09:43:14.727140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4830
5-th percentile9500
Q112000
median14000
Q316800
95-th percentile25000
Maximum99000
Range94170
Interquartile range (IQR)4800

Descriptive statistics

Standard deviation6216.4406
Coefficient of variation (CV)0.40284223
Kurtosis41.538348
Mean15431.452
Median Absolute Deviation (MAD)2000
Skewness4.5097923
Sum28656207
Variance38644134
MonotonicityNot monotonic
2024-03-14T09:43:14.833183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000 182
 
9.8%
13000 169
 
9.1%
15000 162
 
8.7%
14000 124
 
6.7%
16000 120
 
6.5%
18000 87
 
4.7%
11000 82
 
4.4%
17000 58
 
3.1%
10000 54
 
2.9%
14800 42
 
2.3%
Other values (190) 777
41.8%
ValueCountFrequency (%)
4830 1
 
0.1%
5000 1
 
0.1%
5200 1
 
0.1%
5360 1
 
0.1%
5700 1
 
0.1%
5900 4
0.2%
6500 1
 
0.1%
6600 1
 
0.1%
6730 1
 
0.1%
6740 1
 
0.1%
ValueCountFrequency (%)
99000 2
0.1%
60000 2
0.1%
50000 1
0.1%
49000 1
0.1%
48000 2
0.1%
45000 1
0.1%
44560 1
0.1%
44000 2
0.1%
42000 1
0.1%
40800 1
0.1%

권수
Real number (ℝ)

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0301562
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T09:43:14.934709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35073142
Coefficient of variation (CV)0.34046432
Kurtosis344.36864
Mean1.0301562
Median Absolute Deviation (MAD)0
Skewness17.01837
Sum1913
Variance0.12301253
MonotonicityNot monotonic
2024-03-14T09:43:15.027417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1832
98.7%
2 15
 
0.8%
3 3
 
0.2%
5 2
 
0.1%
7 2
 
0.1%
4 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
1 1832
98.7%
2 15
 
0.8%
3 3
 
0.2%
4 2
 
0.1%
5 2
 
0.1%
7 2
 
0.1%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
7 2
 
0.1%
5 2
 
0.1%
4 2
 
0.1%
3 3
 
0.2%
2 15
 
0.8%
1 1832
98.7%

합계
Real number (ℝ)

HIGH CORRELATION 

Distinct205
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15982.041
Minimum4830
Maximum240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T09:43:15.132271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4830
5-th percentile9500
Q112000
median14000
Q317000
95-th percentile27000
Maximum240000
Range235170
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation10307.054
Coefficient of variation (CV)0.64491476
Kurtosis226.48689
Mean15982.041
Median Absolute Deviation (MAD)2000
Skewness12.367487
Sum29678650
Variance1.0623536 × 108
MonotonicityNot monotonic
2024-03-14T09:43:15.450518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000 181
 
9.7%
13000 167
 
9.0%
15000 160
 
8.6%
14000 124
 
6.7%
16000 120
 
6.5%
18000 86
 
4.6%
11000 81
 
4.4%
17000 56
 
3.0%
10000 53
 
2.9%
14800 42
 
2.3%
Other values (195) 787
42.4%
ValueCountFrequency (%)
4830 1
 
0.1%
5200 1
 
0.1%
5360 1
 
0.1%
5700 1
 
0.1%
5900 4
0.2%
6500 1
 
0.1%
6600 1
 
0.1%
6730 1
 
0.1%
6740 1
 
0.1%
6820 1
 
0.1%
ValueCountFrequency (%)
240000 1
 
0.1%
198000 2
0.1%
80000 1
 
0.1%
72000 2
0.1%
68400 1
 
0.1%
60000 2
0.1%
58000 1
 
0.1%
54000 1
 
0.1%
50000 3
0.2%
49000 1
 
0.1%

적요
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.6 KiB
건지
707 
꽃심
440 
효자
296 
쪽구름
170 
완산
151 
Other values (2)
93 

Length

Max length3
Median length2
Mean length2.0915455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건지 707
38.1%
꽃심 440
23.7%
효자 296
15.9%
쪽구름 170
 
9.2%
완산 151
 
8.1%
삼천 54
 
2.9%
평화 39
 
2.1%

Length

2024-03-14T09:43:15.547828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:43:15.647808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건지 707
38.1%
꽃심 440
23.7%
효자 296
15.9%
쪽구름 170
 
9.2%
완산 151
 
8.1%
삼천 54
 
2.9%
평화 39
 
2.1%

Interactions

2024-03-14T09:43:12.114731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:11.656887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:11.907522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:12.211999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:11.734324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:11.972007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:12.302119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:11.817626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:43:12.038050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:43:15.726945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정가권수합계적요
정가1.0000.4050.7880.169
권수0.4051.0000.6800.054
합계0.7880.6801.0000.033
적요0.1690.0540.0331.000
2024-03-14T09:43:15.800427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정가권수합계적요
정가1.0000.0340.9780.060
권수0.0341.0000.1950.019
합계0.9780.1951.0000.020
적요0.0600.0190.0201.000

Missing values

2024-03-14T09:43:12.410244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:43:12.503026image/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

도서명지은이출판사정가권수합계적요
0The Big Fat Cow That Goes Kapow앤디 그리피스TurtlebackBooks24530124530건지
1아삭아삭 배추김치동백쉼어린이12000112000건지
2텔레비전책 (춤추는 카멜레온)천미진키즈엠10000110000건지
3장시간 발효 빵(후쿠오카 팽 스톡(pain stock)의) (후쿠오카 팽 스톡(pain stock)의)히라야마 데쓰오터닝포인트26000126000건지
4밀밭에서 빵을 굽다 (좌충우돌 빵덕후의 동네빵집 운영기)이성규인문공간17000117000건지
5샌드위치의 모든 것 (인기 있는 샌드위치 맛집 쿠클 레시피)메이랩경향미디어13800113800건지
6[베오영]Snowballs (Paperback Set) (베스트셀링 오디오 영어동화)로이스 엘러트HarperTrophy13000113000건지
7Pig The Tourist with StoryPlusAaron BlabeyScholastic950019500건지
8Pig the Grub (Book & CD)Aaron BlabeyScholastic12000112000건지
9Trash TruckKeane, MaxHarperCollins18000118000건지
도서명지은이출판사정가권수합계적요
1847고양이는 집 보는 중?마치다 나오코현암주니어12000112000효자
1848햇볕 토스트 (이해진 그림책)이해진사계절12500112500효자
1849추리탐정학교 4 : 올레옹 섬의 도둑클레르 그라시아스 (지은이), 클로트카 (그림), 박선주 (옮긴이)좋은꿈12000112000효자
1850댄스 바이러스, 유월잠자 지음|이윤희 그림|Beff(이병윤) 원작주니어김영사12800112800효자
1851여행은 사실 고생이지정기호사람의무늬16000116000효자
1852마음이 자라는 그림책 읽기 (생각의 힘을 키워 주는 그림책 100)이정은넥서스BOOKS19800119800효자
1853분더카머 - 시, 꿈, 돌, 숲, 빵, 이미지의 방윤경희 (지은이)문학과지성사15000115000효자
1854그리드 (기후 위기 시대, 제2의 전기 인프라 혁명이 온다)그레천 바크동아시아22000122000효자
1855윤리적 소비에서 공정무역마을운동으로 (아이쿱 이야기)김선화CoopDream(쿱드림)15000115000효자
1856책 읽기를 정말 좋아하는 사람들 아닌가 (버지니아 울프 산문선)버지니아 울프온다프레스16000116000효자

Duplicate rows

Most frequently occurring

도서명지은이출판사정가권수합계적요# duplicates
0깜장미르이창순신아출판사13000113000완산2
1붕붕 꿀약방심보영웅진주니어13000113000건지2