Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells1975
Missing cells (%)2.8%
Duplicate rows69
Duplicate rows (%)0.7%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Categorical1
Text5
Numeric1

Dataset

Description안양시 공공도서관 소장도서 정보(관리구분, 제목, 저자명, 출판사, 출판년도, 국제표준도서번호, 청구기호)를 제공합니다.
Author경기도 안양시
URLhttps://www.data.go.kr/data/3080743/fileData.do

Alerts

Dataset has 69 (0.7%) duplicate rowsDuplicates
출판년도 has 135 (1.4%) missing valuesMissing
국제표준도서번호 has 1755 (17.5%) missing valuesMissing
출판년도 is highly skewed (γ1 = -77.58547262)Skewed

Reproduction

Analysis started2023-12-23 06:43:09.850335
Analysis finished2023-12-23 06:43:22.067128
Duration12.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리구분
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안양시석수도서관
2578 
안양시만안도서관
1732 
안양시평촌도서관
1374 
안양시호계도서관
1070 
안양어린이도서관
836 
Other values (7)
2410 

Length

Max length10
Median length8
Mean length8.0231
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안양시만안도서관
2nd row안양시박달도서관
3rd row안양시벌말도서관
4th row안양시평촌도서관
5th row안양시만안도서관

Common Values

ValueCountFrequency (%)
안양시석수도서관 2578
25.8%
안양시만안도서관 1732
17.3%
안양시평촌도서관 1374
13.7%
안양시호계도서관 1070
10.7%
안양어린이도서관 836
 
8.4%
안양시박달도서관 591
 
5.9%
안양시립비산도서관 567
 
5.7%
안양시관양도서관 535
 
5.3%
안양삼덕도서관 363
 
3.6%
안양시벌말도서관 329
 
3.3%
Other values (2) 25
 
0.2%

Length

2023-12-23T06:43:22.513214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안양시석수도서관 2578
25.7%
안양시만안도서관 1732
17.3%
안양시평촌도서관 1374
13.7%
안양시호계도서관 1070
10.7%
안양어린이도서관 836
 
8.3%
안양시박달도서관 591
 
5.9%
안양시립비산도서관 567
 
5.7%
안양시관양도서관 535
 
5.3%
안양삼덕도서관 363
 
3.6%
안양시벌말도서관 329
 
3.3%
Other values (4) 50
 
0.5%

제목
Text

Distinct8865
Distinct (%)88.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-23T06:43:24.179282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length189
Median length118
Mean length18.013301
Min length1

Characters and Unicode

Total characters180115
Distinct characters2246
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7921 ?
Unique (%)79.2%

Sample

1st row(마지막 시대의 배도) 무너진 교회
2nd row(똑! 소리나게 배워보는 속전 속결)엑셀 2013
3rd row손에 잡히는 과학 교과서. 15: 에너지
4th row손이 나왔네
5th row업무체력 = Health Hacks
ValueCountFrequency (%)
1362
 
3.2%
1 288
 
0.7%
2 269
 
0.6%
the 267
 
0.6%
이야기 248
 
0.6%
장편소설 172
 
0.4%
of 145
 
0.3%
우리 142
 
0.3%
내 141
 
0.3%
and 127
 
0.3%
Other values (19805) 39284
92.6%
2023-12-23T06:43:26.523519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37014
 
20.6%
의 3020
 
1.7%
이 2773
 
1.5%
e 2602
 
1.4%
: 2310
 
1.3%
는 1928
 
1.1%
o 1880
 
1.0%
a 1837
 
1.0%
i 1754
 
1.0%
기 1726
 
1.0%
Other values (2236) 123271
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103413
57.4%
Space Separator 37014
 
20.6%
Lowercase Letter 22106
 
12.3%
Other Punctuation 5610
 
3.1%
Decimal Number 4215
 
2.3%
Uppercase Letter 3650
 
2.0%
Close Punctuation 1642
 
0.9%
Open Punctuation 1642
 
0.9%
Math Symbol 491
 
0.3%
Dash Punctuation 290
 
0.2%
Other values (7) 42
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3020
 
2.9%
이 2773
 
2.7%
는 1928
 
1.9%
기 1726
 
1.7%
사 1553
 
1.5%
리 1407
 
1.4%
가 1400
 
1.4%
한 1363
 
1.3%
아 1291
 
1.2%
지 1210
 
1.2%
Other values (2076) 85742
82.9%
Lowercase Letter
ValueCountFrequency (%)
e 2602
11.8%
o 1880
 
8.5%
a 1837
 
8.3%
i 1754
 
7.9%
n 1685
 
7.6%
t 1599
 
7.2%
r 1463
 
6.6%
s 1429
 
6.5%
l 1004
 
4.5%
h 995
 
4.5%
Other values (42) 5858
26.5%
Uppercase Letter
ValueCountFrequency (%)
T 342
 
9.4%
S 308
 
8.4%
A 266
 
7.3%
D 251
 
6.9%
C 216
 
5.9%
M 201
 
5.5%
B 186
 
5.1%
P 185
 
5.1%
E 180
 
4.9%
I 166
 
4.5%
Other values (27) 1349
37.0%
Other Punctuation
ValueCountFrequency (%)
: 2310
41.2%
. 1139
20.3%
, 1125
20.1%
! 453
 
8.1%
· 230
 
4.1%
' 144
 
2.6%
/ 91
 
1.6%
& 39
 
0.7%
; 23
 
0.4%
＇ 11
 
0.2%
Other values (12) 45
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 1075
25.5%
2 748
17.7%
0 727
17.2%
3 451
10.7%
5 277
 
6.6%
4 267
 
6.3%
9 213
 
5.1%
7 163
 
3.9%
8 147
 
3.5%
6 146
 
3.5%
Math Symbol
ValueCountFrequency (%)
= 409
83.3%
~ 28
 
5.7%
+ 25
 
5.1%
< 8
 
1.6%
> 8
 
1.6%
∼ 7
 
1.4%
｜ 4
 
0.8%
| 2
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
32.0%
Ⅰ 6
24.0%
Ⅲ 3
 
12.0%
Ⅳ 3
 
12.0%
Ⅵ 2
 
8.0%
Ⅷ 1
 
4.0%
Ⅴ 1
 
4.0%
Ⅹ 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 1566
95.4%
] 67
 
4.1%
』 4
 
0.2%
」 4
 
0.2%
》 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1566
95.4%
[ 67
 
4.1%
『 4
 
0.2%
「 4
 
0.2%
《 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
□ 3
42.9%
│ 3
42.9%
★ 1
 
14.3%
Modifier Symbol
ValueCountFrequency (%)
` 2
66.7%
´ 1
33.3%
Final Punctuation
ValueCountFrequency (%)
’ 1
50.0%
” 1
50.0%
Space Separator
ValueCountFrequency (%)
37014
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Other Number
ValueCountFrequency (%)
④ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100803
56.0%
Common 50921
28.3%
Latin 25672
 
14.3%
Han 2538
 
1.4%
Cyrillic 107
 
0.1%
Hiragana 62
 
< 0.1%
Katakana 10
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3020
 
3.0%
이 2773
 
2.8%
는 1928
 
1.9%
기 1726
 
1.7%
사 1553
 
1.5%
리 1407
 
1.4%
가 1400
 
1.4%
한 1363
 
1.4%
아 1291
 
1.3%
지 1210
 
1.2%
Other values (1248) 83132
82.5%
Han
ValueCountFrequency (%)
國 61
 
2.4%
學 46
 
1.8%
硏 39
 
1.5%
究 39
 
1.5%
韓 38
 
1.5%
集 38
 
1.5%
文 33
 
1.3%
大 31
 
1.2%
史 25
 
1.0%
詩 24
 
0.9%
Other values (780) 2164
85.3%
Common
ValueCountFrequency (%)
37014
72.7%
: 2310
 
4.5%
) 1566
 
3.1%
( 1566
 
3.1%
. 1139
 
2.2%
, 1125
 
2.2%
1 1075
 
2.1%
2 748
 
1.5%
0 727
 
1.4%
! 453
 
0.9%
Other values (53) 3198
 
6.3%
Latin
ValueCountFrequency (%)
e 2602
 
10.1%
o 1880
 
7.3%
a 1837
 
7.2%
i 1754
 
6.8%
n 1685
 
6.6%
t 1599
 
6.2%
r 1463
 
5.7%
s 1429
 
5.6%
l 1004
 
3.9%
h 995
 
3.9%
Other values (51) 9424
36.7%
Cyrillic
ValueCountFrequency (%)
а 13
 
12.1%
л 9
 
8.4%
и 7
 
6.5%
р 7
 
6.5%
т 6
 
5.6%
у 5
 
4.7%
к 5
 
4.7%
б 4
 
3.7%
о 4
 
3.7%
е 4
 
3.7%
Other values (25) 43
40.2%
Hiragana
ValueCountFrequency (%)
の 7
 
11.3%
る 7
 
11.3%
と 3
 
4.8%
か 3
 
4.8%
い 3
 
4.8%
や 3
 
4.8%
め 3
 
4.8%
で 3
 
4.8%
け 2
 
3.2%
は 2
 
3.2%
Other values (20) 26
41.9%
Katakana
ValueCountFrequency (%)
ン 3
30.0%
ワ 1
 
10.0%
ダ 1
 
10.0%
ラ 1
 
10.0%
ド 1
 
10.0%
ハ 1
 
10.0%
グ 1
 
10.0%
ル 1
 
10.0%
Greek
ValueCountFrequency (%)
β 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100786
56.0%
ASCII 76252
42.3%
CJK 2470
 
1.4%
None 293
 
0.2%
Cyrillic 107
 
0.1%
CJK Compat Ideographs 68
 
< 0.1%
Hiragana 62
 
< 0.1%
Number Forms 25
 
< 0.1%
Compat Jamo 17
 
< 0.1%
Punctuation 10
 
< 0.1%
Other values (6) 25
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37014
48.5%
e 2602
 
3.4%
: 2310
 
3.0%
o 1880
 
2.5%
a 1837
 
2.4%
i 1754
 
2.3%
n 1685
 
2.2%
t 1599
 
2.1%
) 1566
 
2.1%
( 1566
 
2.1%
Other values (77) 22439
29.4%
Hangul
ValueCountFrequency (%)
의 3020
 
3.0%
이 2773
 
2.8%
는 1928
 
1.9%
기 1726
 
1.7%
사 1553
 
1.5%
리 1407
 
1.4%
가 1400
 
1.4%
한 1363
 
1.4%
아 1291
 
1.3%
지 1210
 
1.2%
Other values (1242) 83115
82.5%
None
ValueCountFrequency (%)
· 230
78.5%
＇ 11
 
3.8%
＆ 8
 
2.7%
『 4
 
1.4%
』 4
 
1.4%
。 4
 
1.4%
「 4
 
1.4%
｜ 4
 
1.4%
」 4
 
1.4%
đ 3
 
1.0%
Other values (11) 17
 
5.8%
CJK
ValueCountFrequency (%)
國 61
 
2.5%
學 46
 
1.9%
硏 39
 
1.6%
究 39
 
1.6%
韓 38
 
1.5%
集 38
 
1.5%
文 33
 
1.3%
大 31
 
1.3%
史 25
 
1.0%
詩 24
 
1.0%
Other values (756) 2096
84.9%
CJK Compat Ideographs
ValueCountFrequency (%)
李 14
20.6%
論 11
16.2%
女 6
 
8.8%
歷 6
 
8.8%
不 3
 
4.4%
理 3
 
4.4%
宅 3
 
4.4%
年 2
 
2.9%
老 2
 
2.9%
遼 2
 
2.9%
Other values (14) 16
23.5%
Cyrillic
ValueCountFrequency (%)
а 13
 
12.1%
л 9
 
8.4%
и 7
 
6.5%
р 7
 
6.5%
т 6
 
5.6%
у 5
 
4.7%
к 5
 
4.7%
б 4
 
3.7%
о 4
 
3.7%
е 4
 
3.7%
Other values (25) 43
40.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
32.0%
Ⅰ 6
24.0%
Ⅲ 3
 
12.0%
Ⅳ 3
 
12.0%
Ⅵ 2
 
8.0%
Ⅷ 1
 
4.0%
Ⅴ 1
 
4.0%
Ⅹ 1
 
4.0%
Punctuation
ValueCountFrequency (%)
… 7
70.0%
’ 1
 
10.0%
“ 1
 
10.0%
” 1
 
10.0%
Math Operators
ValueCountFrequency (%)
∼ 7
100.0%
Hiragana
ValueCountFrequency (%)
の 7
 
11.3%
る 7
 
11.3%
と 3
 
4.8%
か 3
 
4.8%
い 3
 
4.8%
や 3
 
4.8%
め 3
 
4.8%
で 3
 
4.8%
け 2
 
3.2%
は 2
 
3.2%
Other values (20) 26
41.9%
Compat Jamo
ValueCountFrequency (%)
ㄱ 5
29.4%
ㄴ 4
23.5%
ㄷ 4
23.5%
ㅣ 2
 
11.8%
ㅂ 1
 
5.9%
ㆍ 1
 
5.9%
Katakana
ValueCountFrequency (%)
ン 3
30.0%
ワ 1
 
10.0%
ダ 1
 
10.0%
ラ 1
 
10.0%
ド 1
 
10.0%
ハ 1
 
10.0%
グ 1
 
10.0%
ル 1
 
10.0%
Geometric Shapes
ValueCountFrequency (%)
□ 3
100.0%
Box Drawing
ValueCountFrequency (%)
│ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
④ 1
100.0%

저자명
Text

Distinct8454
Distinct (%)84.7%
Missing16
Missing (%)0.2%
Memory size156.2 KiB
2023-12-23T06:43:27.538288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length155
Median length108
Mean length15.828626
Min length1

Characters and Unicode

Total characters158033
Distinct characters1527
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7295 ?
Unique (%)73.1%

Sample

1st row박길서 지음
2nd row윤부현 저
3rd row정창훈 글;, 김은희 그림
4th row하야시 아키코 글·그림;, 이영준 옮김
5th row가와다 히로시 지음;, 최지영 옮김
ValueCountFrequency (%)
지음 4213
 
10.8%
옮김 2416
 
6.2%
그림 2136
 
5.5%
글 1745
 
4.5%
by 820
 
2.1%
저 410
 
1.1%
387
 
1.0%
글·그림 335
 
0.9%
엮음 270
 
0.7%
편 268
 
0.7%
Other values (13607) 25981
66.7%
2023-12-23T06:43:29.424366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29035
 
18.4%
, 7736
 
4.9%
; 6364
 
4.0%
지 5248
 
3.3%
음 4844
 
3.1%
김 4495
 
2.8%
이 3018
 
1.9%
그 2803
 
1.8%
림 2702
 
1.7%
옮 2523
 
1.6%
Other values (1517) 89265
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89682
56.7%
Space Separator 29035
 
18.4%
Lowercase Letter 17889
 
11.3%
Other Punctuation 15436
 
9.8%
Uppercase Letter 3152
 
2.0%
Open Punctuation 1351
 
0.9%
Close Punctuation 1351
 
0.9%
Decimal Number 65
 
< 0.1%
Dash Punctuation 49
 
< 0.1%
Math Symbol 20
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5248
 
5.9%
음 4844
 
5.4%
김 4495
 
5.0%
이 3018
 
3.4%
그 2803
 
3.1%
림 2702
 
3.0%
옮 2523
 
2.8%
글 2352
 
2.6%
스 1348
 
1.5%
정 1331
 
1.5%
Other values (1392) 59018
65.8%
Lowercase Letter
ValueCountFrequency (%)
e 1884
10.5%
a 1614
 
9.0%
r 1500
 
8.4%
t 1463
 
8.2%
i 1357
 
7.6%
l 1290
 
7.2%
y 1197
 
6.7%
n 1188
 
6.6%
o 974
 
5.4%
b 965
 
5.4%
Other values (39) 4457
24.9%
Uppercase Letter
ValueCountFrequency (%)
M 292
 
9.3%
S 286
 
9.1%
J 242
 
7.7%
B 239
 
7.6%
D 199
 
6.3%
C 196
 
6.2%
A 194
 
6.2%
R 187
 
5.9%
K 147
 
4.7%
P 140
 
4.4%
Other values (32) 1030
32.7%
Other Punctuation
ValueCountFrequency (%)
, 7736
50.1%
; 6364
41.2%
. 605
 
3.9%
· 450
 
2.9%
: 234
 
1.5%
/ 20
 
0.1%
& 12
 
0.1%
' 10
 
0.1%
＆ 2
 
< 0.1%
… 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 14
21.5%
1 13
20.0%
2 11
16.9%
4 9
13.8%
6 5
 
7.7%
5 4
 
6.2%
7 3
 
4.6%
3 3
 
4.6%
8 2
 
3.1%
9 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
[ 1332
98.6%
( 18
 
1.3%
〈 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 1332
98.6%
) 18
 
1.3%
〉 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 10
50.0%
> 10
50.0%
Space Separator
ValueCountFrequency (%)
29035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88064
55.7%
Common 47310
29.9%
Latin 20910
 
13.2%
Han 1600
 
1.0%
Cyrillic 131
 
0.1%
Katakana 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5248
 
6.0%
음 4844
 
5.5%
김 4495
 
5.1%
이 3018
 
3.4%
그 2803
 
3.2%
림 2702
 
3.1%
옮 2523
 
2.9%
글 2352
 
2.7%
스 1348
 
1.5%
정 1331
 
1.5%
Other values (883) 57400
65.2%
Han
ValueCountFrequency (%)
著 135
 
8.4%
編 87
 
5.4%
金 61
 
3.8%
李 43
 
2.7%
國 34
 
2.1%
文 32
 
2.0%
韓 30
 
1.9%
學 25
 
1.6%
會 23
 
1.4%
譯 22
 
1.4%
Other values (485) 1108
69.2%
Latin
ValueCountFrequency (%)
e 1884
 
9.0%
a 1614
 
7.7%
r 1500
 
7.2%
t 1463
 
7.0%
i 1357
 
6.5%
l 1290
 
6.2%
y 1197
 
5.7%
n 1188
 
5.7%
o 974
 
4.7%
b 965
 
4.6%
Other values (42) 7478
35.8%
Cyrillic
ValueCountFrequency (%)
а 16
 
12.2%
и 11
 
8.4%
д 8
 
6.1%
Н 7
 
5.3%
р 6
 
4.6%
о 6
 
4.6%
л 6
 
4.6%
у 5
 
3.8%
м 5
 
3.8%
б 5
 
3.8%
Other values (29) 56
42.7%
Common
ValueCountFrequency (%)
29035
61.4%
, 7736
 
16.4%
; 6364
 
13.5%
[ 1332
 
2.8%
] 1332
 
2.8%
. 605
 
1.3%
· 450
 
1.0%
: 234
 
0.5%
- 49
 
0.1%
/ 20
 
< 0.1%
Other values (24) 153
 
0.3%
Katakana
ValueCountFrequency (%)
ン 3
16.7%
ス 2
11.1%
イ 2
11.1%
ア 1
 
5.6%
エ 1
 
5.6%
コ 1
 
5.6%
ラ 1
 
5.6%
ナ 1
 
5.6%
ガ 1
 
5.6%
ル 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88059
55.7%
ASCII 67764
42.9%
CJK 1535
 
1.0%
None 455
 
0.3%
Cyrillic 131
 
0.1%
CJK Compat Ideographs 65
 
< 0.1%
Katakana 18
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29035
42.8%
, 7736
 
11.4%
; 6364
 
9.4%
e 1884
 
2.8%
a 1614
 
2.4%
r 1500
 
2.2%
t 1463
 
2.2%
i 1357
 
2.0%
[ 1332
 
2.0%
] 1332
 
2.0%
Other values (70) 14147
20.9%
Hangul
ValueCountFrequency (%)
지 5248
 
6.0%
음 4844
 
5.5%
김 4495
 
5.1%
이 3018
 
3.4%
그 2803
 
3.2%
림 2702
 
3.1%
옮 2523
 
2.9%
글 2352
 
2.7%
스 1348
 
1.5%
정 1331
 
1.5%
Other values (882) 57395
65.2%
None
ValueCountFrequency (%)
· 450
98.9%
＆ 2
 
0.4%
〈 1
 
0.2%
〉 1
 
0.2%
＇ 1
 
0.2%
CJK
ValueCountFrequency (%)
著 135
 
8.8%
編 87
 
5.7%
金 61
 
4.0%
國 34
 
2.2%
文 32
 
2.1%
韓 30
 
2.0%
學 25
 
1.6%
會 23
 
1.5%
譯 22
 
1.4%
院 16
 
1.0%
Other values (468) 1070
69.7%
CJK Compat Ideographs
ValueCountFrequency (%)
李 43
66.2%
烈 4
 
6.2%
林 3
 
4.6%
沈 2
 
3.1%
梁 1
 
1.5%
論 1
 
1.5%
立 1
 
1.5%
良 1
 
1.5%
寧 1
 
1.5%
律 1
 
1.5%
Other values (7) 7
 
10.8%
Cyrillic
ValueCountFrequency (%)
а 16
 
12.2%
и 11
 
8.4%
д 8
 
6.1%
Н 7
 
5.3%
р 6
 
4.6%
о 6
 
4.6%
л 6
 
4.6%
у 5
 
3.8%
м 5
 
3.8%
б 5
 
3.8%
Other values (29) 56
42.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
Katakana
ValueCountFrequency (%)
ン 3
16.7%
ス 2
11.1%
イ 2
11.1%
ア 1
 
5.6%
エ 1
 
5.6%
コ 1
 
5.6%
ラ 1
 
5.6%
ナ 1
 
5.6%
ガ 1
 
5.6%
ル 1
 
5.6%
Other values (4) 4
22.2%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

출판사
Text

Distinct3787
Distinct (%)38.1%
Missing68
Missing (%)0.7%
Memory size156.2 KiB
2023-12-23T06:43:30.550266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length40
Mean length5.3618607
Min length1

Characters and Unicode

Total characters53254
Distinct characters1038
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2295 ?
Unique (%)23.1%

Sample

1st row밴드오브퓨리탄스
2nd row영진닷컴
3rd row길벗스쿨
4th row한림출판사
5th row살림
ValueCountFrequency (%)
비룡소 121
 
1.1%
문학동네 107
 
1.0%
books 93
 
0.8%
창비 77
 
0.7%
교원 72
 
0.6%
민음사 71
 
0.6%
시공주니어 58
 
0.5%
주니어김영사 56
 
0.5%
press 53
 
0.5%
출전 51
 
0.5%
Other values (3894) 10331
93.2%
2023-12-23T06:43:32.505374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1701
 
3.2%
스 1298
 
2.4%
1171
 
2.2%
이 1087
 
2.0%
o 963
 
1.8%
북 882
 
1.7%
문 861
 
1.6%
어 818
 
1.5%
s 672
 
1.3%
e 669
 
1.3%
Other values (1028) 43132
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40750
76.5%
Lowercase Letter 7672
 
14.4%
Uppercase Letter 2324
 
4.4%
Space Separator 1171
 
2.2%
Other Punctuation 541
 
1.0%
Open Punctuation 294
 
0.6%
Close Punctuation 274
 
0.5%
Decimal Number 200
 
0.4%
Dash Punctuation 16
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1701
 
4.2%
스 1298
 
3.2%
이 1087
 
2.7%
북 882
 
2.2%
문 861
 
2.1%
어 818
 
2.0%
아 647
 
1.6%
학 644
 
1.6%
한 621
 
1.5%
출 570
 
1.4%
Other values (914) 31621
77.6%
Uppercase Letter
ValueCountFrequency (%)
B 307
13.2%
S 212
 
9.1%
C 191
 
8.2%
H 186
 
8.0%
P 175
 
7.5%
M 146
 
6.3%
R 113
 
4.9%
O 99
 
4.3%
K 89
 
3.8%
A 86
 
3.7%
Other values (33) 720
31.0%
Lowercase Letter
ValueCountFrequency (%)
o 963
12.6%
s 672
 
8.8%
e 669
 
8.7%
r 659
 
8.6%
i 602
 
7.8%
n 574
 
7.5%
a 529
 
6.9%
l 393
 
5.1%
t 344
 
4.5%
d 247
 
3.2%
Other values (29) 2020
26.3%
Other Punctuation
ValueCountFrequency (%)
: 302
55.8%
. 48
 
8.9%
& 47
 
8.7%
, 38
 
7.0%
＆ 34
 
6.3%
· 29
 
5.4%
' 28
 
5.2%
# 6
 
1.1%
; 3
 
0.6%
! 3
 
0.6%
Other values (2) 3
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 75
37.5%
1 72
36.0%
0 14
 
7.0%
4 12
 
6.0%
5 11
 
5.5%
3 6
 
3.0%
6 6
 
3.0%
9 2
 
1.0%
8 1
 
0.5%
7 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 192
65.3%
[ 102
34.7%
Close Punctuation
ValueCountFrequency (%)
) 172
62.8%
] 102
37.2%
Math Symbol
ValueCountFrequency (%)
+ 6
85.7%
~ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39622
74.4%
Latin 9945
 
18.7%
Common 2504
 
4.7%
Han 1125
 
2.1%
Cyrillic 51
 
0.1%
Katakana 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1701
 
4.3%
스 1298
 
3.3%
이 1087
 
2.7%
북 882
 
2.2%
문 861
 
2.2%
어 818
 
2.1%
아 647
 
1.6%
학 644
 
1.6%
한 621
 
1.6%
출 570
 
1.4%
Other values (653) 30493
77.0%
Han
ValueCountFrequency (%)
社 92
 
8.2%
學 82
 
7.3%
文 63
 
5.6%
大 55
 
4.9%
校 45
 
4.0%
國 39
 
3.5%
版 28
 
2.5%
出 28
 
2.5%
化 25
 
2.2%
院 25
 
2.2%
Other values (245) 643
57.2%
Latin
ValueCountFrequency (%)
o 963
 
9.7%
s 672
 
6.8%
e 669
 
6.7%
r 659
 
6.6%
i 602
 
6.1%
n 574
 
5.8%
a 529
 
5.3%
l 393
 
4.0%
t 344
 
3.5%
B 307
 
3.1%
Other values (42) 4233
42.6%
Common
ValueCountFrequency (%)
1171
46.8%
: 302
 
12.1%
( 192
 
7.7%
) 172
 
6.9%
[ 102
 
4.1%
] 102
 
4.1%
2 75
 
3.0%
1 72
 
2.9%
. 48
 
1.9%
& 47
 
1.9%
Other values (21) 221
 
8.8%
Cyrillic
ValueCountFrequency (%)
р 3
 
5.9%
т 3
 
5.9%
э 3
 
5.9%
Е 3
 
5.9%
Т 3
 
5.9%
А 3
 
5.9%
и 3
 
5.9%
Н 3
 
5.9%
н 2
 
3.9%
У 2
 
3.9%
Other values (20) 23
45.1%
Katakana
ValueCountFrequency (%)
ム 1
14.3%
ポ 1
14.3%
リ 1
14.3%
ル 1
14.3%
ベ 1
14.3%
レ 1
14.3%
フ 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39618
74.4%
ASCII 12386
 
23.3%
CJK 1118
 
2.1%
None 67
 
0.1%
Cyrillic 51
 
0.1%
CJK Compat Ideographs 7
 
< 0.1%
Katakana 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1701
 
4.3%
스 1298
 
3.3%
이 1087
 
2.7%
북 882
 
2.2%
문 861
 
2.2%
어 818
 
2.1%
아 647
 
1.6%
학 644
 
1.6%
한 621
 
1.6%
출 570
 
1.4%
Other values (652) 30489
77.0%
ASCII
ValueCountFrequency (%)
1171
 
9.5%
o 963
 
7.8%
s 672
 
5.4%
e 669
 
5.4%
r 659
 
5.3%
i 602
 
4.9%
n 574
 
4.6%
a 529
 
4.3%
l 393
 
3.2%
t 344
 
2.8%
Other values (71) 5810
46.9%
CJK
ValueCountFrequency (%)
社 92
 
8.2%
學 82
 
7.3%
文 63
 
5.6%
大 55
 
4.9%
校 45
 
4.0%
國 39
 
3.5%
版 28
 
2.5%
出 28
 
2.5%
化 25
 
2.2%
院 25
 
2.2%
Other values (240) 636
56.9%
None
ValueCountFrequency (%)
＆ 34
50.7%
· 29
43.3%
㈜ 4
 
6.0%
Cyrillic
ValueCountFrequency (%)
р 3
 
5.9%
т 3
 
5.9%
э 3
 
5.9%
Е 3
 
5.9%
Т 3
 
5.9%
А 3
 
5.9%
и 3
 
5.9%
Н 3
 
5.9%
н 2
 
3.9%
У 2
 
3.9%
Other values (20) 23
45.1%
CJK Compat Ideographs
ValueCountFrequency (%)
女 3
42.9%
宅 1
 
14.3%
麗 1
 
14.3%
梨 1
 
14.3%
李 1
 
14.3%
Katakana
ValueCountFrequency (%)
ム 1
14.3%
ポ 1
14.3%
リ 1
14.3%
ル 1
14.3%
ベ 1
14.3%
レ 1
14.3%
フ 1
14.3%

출판년도
Real number (ℝ)

MISSING  SKEWED 

Distinct57
Distinct (%)0.6%
Missing135
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2008.0603
Minimum204
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-23T06:43:33.655662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204
5-th percentile1994
Q12004
median2010
Q32014
95-th percentile2018
Maximum2021
Range1817
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.729326
Coefficient of variation (CV)0.0098250663
Kurtosis7089.0682
Mean2008.0603
Median Absolute Deviation (MAD)5
Skewness-77.585473
Sum19809515
Variance389.24629
MonotonicityNot monotonic
2023-12-23T06:43:34.622839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2016.0 639
 
6.4%
2014.0 614
 
6.1%
2003.0 593
 
5.9%
2013.0 580
 
5.8%
2015.0 542
 
5.4%
2008.0 527
 
5.3%
2012.0 512
 
5.1%
2017.0 495
 
5.0%
2011.0 487
 
4.9%
2009.0 485
 
4.9%
Other values (47) 4391
43.9%
ValueCountFrequency (%)
204.0 1
 
< 0.1%
1944.0 1
 
< 0.1%
1952.0 1
 
< 0.1%
1965.0 1
 
< 0.1%
1968.0 2
< 0.1%
1969.0 1
 
< 0.1%
1970.0 1
 
< 0.1%
1972.0 2
< 0.1%
1973.0 1
 
< 0.1%
1975.0 3
< 0.1%
ValueCountFrequency (%)
2021.0 3
 
< 0.1%
2020.0 68
 
0.7%
2019.0 212
 
2.1%
2018.0 329
3.3%
2017.0 495
5.0%
2016.0 639
6.4%
2015.0 542
5.4%
2014.0 614
6.1%
2013.0 580
5.8%
2012.04 1
 
< 0.1%

국제표준도서번호
Text

MISSING 

Distinct2710
Distinct (%)32.9%
Missing1755
Missing (%)17.5%
Memory size156.2 KiB
2023-12-23T06:43:36.012407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length13.461856
Min length7

Characters and Unicode

Total characters110993
Distinct characters43
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2518 ?
Unique (%)30.5%

Sample

1st row9790000000000
2nd row9790000000000
3rd row9790000000000
4th row9790000000000
5th row9790000000000
ValueCountFrequency (%)
9790000000000 5177
61.2%
9780000000000 132
 
1.6%
03810 23
 
0.3%
73810 15
 
0.2%
1 9
 
0.1%
8
 
0.1%
03840 8
 
0.1%
04810 7
 
0.1%
8976845129(1 6
 
0.1%
9780316110693 6
 
0.1%
Other values (2804) 3074
36.3%
2023-12-23T06:43:37.748500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56810
51.2%
9 15881
 
14.3%
7 8471
 
7.6%
7055
 
6.4%
8 5814
 
5.2%
1 2990
 
2.7%
3 2503
 
2.3%
5 2499
 
2.3%
4 2473
 
2.2%
2 2413
 
2.2%
Other values (33) 4084
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101929
91.8%
Space Separator 7055
 
6.4%
Open Punctuation 570
 
0.5%
Close Punctuation 570
 
0.5%
Other Punctuation 540
 
0.5%
Uppercase Letter 177
 
0.2%
Other Letter 67
 
0.1%
Lowercase Letter 48
 
< 0.1%
Dash Punctuation 33
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 15
22.4%
트 15
22.4%
전 7
10.4%
제 7
10.4%
권 6
 
9.0%
자 5
 
7.5%
책 5
 
7.5%
上 2
 
3.0%
결 1
 
1.5%
완 1
 
1.5%
Other values (3) 3
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 56810
55.7%
9 15881
 
15.6%
7 8471
 
8.3%
8 5814
 
5.7%
1 2990
 
2.9%
3 2503
 
2.5%
5 2499
 
2.5%
4 2473
 
2.4%
2 2413
 
2.4%
6 2074
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
x 20
41.7%
o 12
25.0%
e 7
 
14.6%
k 6
 
12.5%
d 1
 
2.1%
a 1
 
2.1%
r 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
X 170
96.0%
B 6
 
3.4%
G 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 569
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 569
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
7055
100.0%
Other Punctuation
ValueCountFrequency (%)
: 540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110698
99.7%
Latin 228
 
0.2%
Hangul 64
 
0.1%
Han 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56810
51.3%
9 15881
 
14.3%
7 8471
 
7.7%
7055
 
6.4%
8 5814
 
5.3%
1 2990
 
2.7%
3 2503
 
2.3%
5 2499
 
2.3%
4 2473
 
2.2%
2 2413
 
2.2%
Other values (9) 3789
 
3.4%
Latin
ValueCountFrequency (%)
X 170
74.6%
x 20
 
8.8%
o 12
 
5.3%
e 7
 
3.1%
B 6
 
2.6%
k 6
 
2.6%
Ⅲ 3
 
1.3%
G 1
 
0.4%
d 1
 
0.4%
a 1
 
0.4%
Hangul
ValueCountFrequency (%)
세 15
23.4%
트 15
23.4%
전 7
10.9%
제 7
10.9%
권 6
 
9.4%
자 5
 
7.8%
책 5
 
7.8%
결 1
 
1.6%
완 1
 
1.6%
반 1
 
1.6%
Han
ValueCountFrequency (%)
上 2
66.7%
下 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110922
99.9%
Hangul 64
 
0.1%
Number Forms 3
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56810
51.2%
9 15881
 
14.3%
7 8471
 
7.6%
7055
 
6.4%
8 5814
 
5.2%
1 2990
 
2.7%
3 2503
 
2.3%
5 2499
 
2.3%
4 2473
 
2.2%
2 2413
 
2.2%
Other values (18) 4013
 
3.6%
Hangul
ValueCountFrequency (%)
세 15
23.4%
트 15
23.4%
전 7
10.9%
제 7
10.9%
권 6
 
9.4%
자 5
 
7.8%
책 5
 
7.8%
결 1
 
1.6%
완 1
 
1.6%
반 1
 
1.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
100.0%
CJK
ValueCountFrequency (%)
上 2
66.7%
下 1
33.3%
None
ValueCountFrequency (%)
１ 1
100.0%

청구기호
Text

Distinct9743
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-23T06:43:38.777191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length10.6372
Min length4

Characters and Unicode

Total characters106372
Distinct characters792
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9497 ?
Unique (%)95.0%

Sample

1st row231박1829ㅁ
2nd row005.5윤46엑
3rd row아408손64ㄱ15
4th row유375.1하62ㅅ2
5th row325.211가65ㅇ
ValueCountFrequency (%)
818한16여 3
 
< 0.1%
592.3황6619ㅇ 3
 
< 0.1%
w747u84u 3
 
< 0.1%
513.819곽65ㅇ 3
 
< 0.1%
325.21무64나 3
 
< 0.1%
740.7김346ㅇ 3
 
< 0.1%
695.4니58ㅈ 3
 
< 0.1%
747s368s 3
 
< 0.1%
331베44막 3
 
< 0.1%
j808.9u84u 3
 
< 0.1%
Other values (9736) 9973
99.7%
2023-12-23T06:43:40.789073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 11620
 
10.9%
1 9896
 
9.3%
2 8029
 
7.5%
3 7390
 
6.9%
9 7172
 
6.7%
6 6968
 
6.6%
4 6654
 
6.3%
. 6562
 
6.2%
5 5945
 
5.6%
7 5221
 
4.9%
Other values (782) 30915
29.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74081
69.6%
Other Letter 21807
 
20.5%
Other Punctuation 6614
 
6.2%
Uppercase Letter 2914
 
2.7%
Lowercase Letter 549
 
0.5%
Dash Punctuation 374
 
0.4%
Space Separator 11
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2248
 
10.3%
ㅇ 1014
 
4.6%
이 855
 
3.9%
김 729
 
3.3%
유 710
 
3.3%
ㅅ 629
 
2.9%
ㄱ 555
 
2.5%
ㅎ 445
 
2.0%
한 426
 
2.0%
ㅈ 380
 
1.7%
Other values (712) 13816
63.4%
Uppercase Letter
ValueCountFrequency (%)
J 600
20.6%
D 553
19.0%
V 277
9.5%
W 216
 
7.4%
B 204
 
7.0%
E 162
 
5.6%
C 134
 
4.6%
M 127
 
4.4%
S 115
 
3.9%
R 106
 
3.6%
Other values (15) 420
14.4%
Lowercase Letter
ValueCountFrequency (%)
s 55
 
10.0%
o 43
 
7.8%
h 43
 
7.8%
b 34
 
6.2%
m 33
 
6.0%
c 32
 
5.8%
a 31
 
5.6%
r 29
 
5.3%
g 27
 
4.9%
f 27
 
4.9%
Other values (15) 195
35.5%
Decimal Number
ValueCountFrequency (%)
8 11620
15.7%
1 9896
13.4%
2 8029
10.8%
3 7390
10.0%
9 7172
9.7%
6 6968
9.4%
4 6654
9.0%
5 5945
8.0%
7 5221
7.0%
0 5186
7.0%
Other Punctuation
ValueCountFrequency (%)
. 6562
99.2%
, 50
 
0.8%
' 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 6
66.7%
( 3
33.3%
Close Punctuation
ValueCountFrequency (%)
] 6
66.7%
) 3
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81102
76.2%
Hangul 21805
 
20.5%
Latin 3463
 
3.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2248
 
10.3%
ㅇ 1014
 
4.7%
이 855
 
3.9%
김 729
 
3.3%
유 710
 
3.3%
ㅅ 629
 
2.9%
ㄱ 555
 
2.5%
ㅎ 445
 
2.0%
한 426
 
2.0%
ㅈ 380
 
1.7%
Other values (710) 13814
63.4%
Latin
ValueCountFrequency (%)
J 600
17.3%
D 553
16.0%
V 277
 
8.0%
W 216
 
6.2%
B 204
 
5.9%
E 162
 
4.7%
C 134
 
3.9%
M 127
 
3.7%
S 115
 
3.3%
R 106
 
3.1%
Other values (40) 969
28.0%
Common
ValueCountFrequency (%)
8 11620
14.3%
1 9896
12.2%
2 8029
9.9%
3 7390
9.1%
9 7172
8.8%
6 6968
8.6%
4 6654
8.2%
. 6562
8.1%
5 5945
7.3%
7 5221
6.4%
Other values (10) 5645
7.0%
Han
ValueCountFrequency (%)
文 1
50.0%
下 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84565
79.5%
Hangul 16824
 
15.8%
Compat Jamo 4981
 
4.7%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 11620
13.7%
1 9896
11.7%
2 8029
9.5%
3 7390
8.7%
9 7172
8.5%
6 6968
8.2%
4 6654
7.9%
. 6562
7.8%
5 5945
7.0%
7 5221
6.2%
Other values (60) 9108
10.8%
Hangul
ValueCountFrequency (%)
아 2248
 
13.4%
이 855
 
5.1%
김 729
 
4.3%
유 710
 
4.2%
한 426
 
2.5%
박 334
 
2.0%
그 285
 
1.7%
정 236
 
1.4%
최 186
 
1.1%
오 178
 
1.1%
Other values (691) 10637
63.2%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1014
20.4%
ㅅ 629
12.6%
ㄱ 555
11.1%
ㅎ 445
8.9%
ㅈ 380
 
7.6%
ㅁ 338
 
6.8%
ㅂ 308
 
6.2%
ㄴ 284
 
5.7%
ㄷ 248
 
5.0%
ㅊ 216
 
4.3%
Other values (9) 564
11.3%
CJK
ValueCountFrequency (%)
文 1
50.0%
下 1
50.0%

Interactions

2023-12-23T06:43:19.414757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T06:43:41.186060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리구분출판년도
관리구분1.000NaN
출판년도NaN1.000
2023-12-23T06:43:41.556708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출판년도관리구분
출판년도1.0000.040
관리구분0.0401.000

Missing values

2023-12-23T06:43:20.340123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T06:43:21.121582image/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.
2023-12-23T06:43:21.744032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

관리구분제목저자명출판사출판년도국제표준도서번호청구기호
69078안양시만안도서관(마지막 시대의 배도) 무너진 교회박길서 지음밴드오브퓨리탄스2011.09790000000000231박1829ㅁ
60893안양시박달도서관(똑! 소리나게 배워보는 속전 속결)엑셀 2013윤부현 저영진닷컴2014.09790000000000005.5윤46엑
20325안양시벌말도서관손에 잡히는 과학 교과서. 15: 에너지정창훈 글;, 김은희 그림길벗스쿨2009.09790000000000아408손64ㄱ15
36966안양시평촌도서관손이 나왔네하야시 아키코 글·그림;, 이영준 옮김한림출판사2012.09790000000000유375.1하62ㅅ2
76084안양시만안도서관업무체력 = Health Hacks가와다 히로시 지음;, 최지영 옮김살림2012.09790000000000325.211가65ㅇ
40153안양어린이도서관(따르릉)벨 아저씨, 전화 받으세요브라이언 윌리엄스 글;, 데이비드 앤트럼 그림;, 고수미 옮김디딤돌2004.08958511362아998.4처67ㄷ3
39947안양시박달도서관김 강사와 T 교수·불 외유진오 ;, 안회남 [공]글 ;, 임향한 ;, 하현이 그림한국헤르만헤세2009.09790000000000아808.9한161한44
58159안양시관양도서관신기한 스쿨 버스. 11: 아널드, 아인슈타인을 만나다조애너 콜 글;, 브루스 디건 그림;, 이강환 옮김비룡소2007.09790000000000아408신18ㅂ11
85070안양시석수도서관뇌는 탄력적이다 : 당신이 똑똑해지기 위해 알아야 할 뇌과학의 모든 것 = Brain flexible닐스 비르바우머,, 외크르 치틀라우 [공]지음;, 오공훈 옮김메디치미디어2015.09790000000000511.1813비297뇌
14756안양시만안도서관浸漬法에 의한 Cellulose acetate 膜의 細孔調節에 관한 硏究李旻錫인하대학교1990.0<NA>DM570.3이3819ㅌ
관리구분제목저자명출판사출판년도국제표준도서번호청구기호
82764안양시석수도서관70년대 신춘문예 당선시집 3편집위원실천문학사2001.0<NA>811.6편78705
78121안양시만안도서관맨 오브 스틸잭 스나이더 감독워너브러더스 엔터테인먼트2013.0<NA>DV688.2스192ㅁ
7313안양시박달도서관태국 100배 즐기기: 태국·베트남·캄보디아·라오스AATNB 지음RHK2011.09790000000000981.402에68태
12493안양시호계도서관이원정 사진집지은이: 이원정한미원색인쇄2013.09790000000000R668이6619이
45200안양시립비산도서관매미숀 탠 글·그림;, 김경연 옮김풀빛2019.09790000000000유843탠,5519매
39355안양시호계도서관할머니페터 헤르틀링 지음;, 페터 크노르 그림;, 박양규 옮김비룡소2007.09790000000000독853헤297할2
25832안양시호계도서관인생 사계자오유얼 지음;, 조용숙 옮김달과소2009.09790000000000199.1자65인
27037안양어린이도서관(동화)토지. 1-6박경리 원작;, 허구 그림;, 토지문학연구회 엮음이룸2007.09788957073681(1-6)아813.8박14ㅌ1-6
30507안양시평촌도서관역사로서의 5·18. 1, 광주사태의 발단과 유언비어김대령비봉출판사2013.09790000000000911.06김23ㅇ
20192안양시석수도서관남자의 서쪽구효서 지음문학동네1997.0<NA>813.6구95ㄴ

Duplicate rows

Most frequently occurring

관리구분제목저자명출판사출판년도국제표준도서번호청구기호# duplicates
12안양시만안도서관Image making English김명기 지음넥서스2007.08960000485(1)740.7김346ㅇ3
60안양시평촌도서관엄마, 오늘 뭐 입지황윤숙 지음동아일보사2016.09790000000000592.3황6619ㅇ3
0안양삼덕도서관Arthur's eyesby Marc BrownLittle, Brown and Company1986.09780316110693:WC843B885a22
1안양삼덕도서관Arthur＇s new puppyMarc BrownLittle, Brown and Company1993.0316109215WC843B885a142
2안양시관양도서관(The) Berenstain Bears' new kittenby Stan Berenstain, Jan Berenstain, Mike BerenstainsHarperCollins2007.09780000000000FC747I15h1-542
3안양시관양도서관농장에 살아요엘리 반 데어 린덴 글;, 데비 라부리스 그림;, 윤후남 옮김한국슈타이너2008.09790000000000유375.1마56ㅎ612
4안양시관양도서관최고의 베프, 최악의 베프 동생박현경 지음;, 원혜진 그림뜨인돌2014.09790000000000아808.9넝876ㄸ72
5안양시립비산도서관(들으면서 시작하는 이보영의 주니어)120분 영문법이보영 지음넥서스주니어2008.09790000000000아745이45ㅂ2
6안양시만안도서관(단편동화)기저귀 찬 고양이정휘창 [외등저]장원교육1997.0<NA>아813.8기74ㅈ2
7안양시만안도서관(빛나는 감각으로 세상을 설계한)디자이너질 브라이언트 지음;, 전미정 옮김꼬마이실2011.09790000000000아990.94꼬32ㄲ162