Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells10337
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory122.0 B

Variable types

Numeric2
Text12

Dataset

Description경남대표도서관 책이음서비스의 자료목록중 지역도서관 색인정보입니다. 색인용도서명, 색인용키워드 , 색인용저자, 색인용 발행인등의 데이터를 포함하고있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15089453

Alerts

색인용권서명 has 9706 (97.1%) missing valuesMissing
색인용ISBN has 574 (5.7%) missing valuesMissing
종키 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:01:32.856529
Analysis finished2023-12-10 23:01:38.801371
Duration5.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관부호
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152717.45
Minimum148041
Maximum748089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:01:38.849590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148041
5-th percentile148041
Q1148122
median148122
Q3148122
95-th percentile148122
Maximum748089
Range600048
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52177.665
Coefficient of variation (CV)0.34166146
Kurtosis125.92944
Mean152717.45
Median Absolute Deviation (MAD)0
Skewness11.301862
Sum1.5271745 × 109
Variance2.7225088 × 109
MonotonicityNot monotonic
2023-12-11T08:01:38.945674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
148122 9299
93.0%
148041 534
 
5.3%
748069 23
 
0.2%
148106 21
 
0.2%
748050 18
 
0.2%
748034 12
 
0.1%
148163 12
 
0.1%
148308 11
 
0.1%
148109 6
 
0.1%
148105 6
 
0.1%
Other values (21) 58
 
0.6%
ValueCountFrequency (%)
148041 534
5.3%
148104 1
 
< 0.1%
148105 6
 
0.1%
148106 21
 
0.2%
148109 6
 
0.1%
148110 3
 
< 0.1%
148111 2
 
< 0.1%
148113 4
 
< 0.1%
148114 1
 
< 0.1%
148115 4
 
< 0.1%
ValueCountFrequency (%)
748089 5
 
0.1%
748069 23
0.2%
748050 18
0.2%
748047 3
 
< 0.1%
748044 3
 
< 0.1%
748042 5
 
0.1%
748034 12
0.1%
748023 2
 
< 0.1%
748020 2
 
< 0.1%
748014 1
 
< 0.1%

종키
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0079395 × 108
Minimum70001826
Maximum6.4123077 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:01:39.053632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70001826
5-th percentile70009544
Q170043916
median70115561
Q370180783
95-th percentile5.6219412 × 108
Maximum6.4123077 × 108
Range5.7122894 × 108
Interquartile range (IQR)136867.25

Descriptive statistics

Standard deviation1.1905145 × 108
Coefficient of variation (CV)1.1811369
Kurtosis12.9915
Mean1.0079395 × 108
Median Absolute Deviation (MAD)69016
Skewness3.8567559
Sum1.0079395 × 1012
Variance1.4173247 × 1016
MonotonicityNot monotonic
2023-12-11T08:01:39.164640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70005515 1
 
< 0.1%
70140936 1
 
< 0.1%
70176628 1
 
< 0.1%
70018325 1
 
< 0.1%
599780660 1
 
< 0.1%
70106755 1
 
< 0.1%
70106315 1
 
< 0.1%
70064839 1
 
< 0.1%
70148805 1
 
< 0.1%
70131220 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
70001826 1
< 0.1%
70001841 1
< 0.1%
70001846 1
< 0.1%
70001866 1
< 0.1%
70001919 1
< 0.1%
70001934 1
< 0.1%
70001949 1
< 0.1%
70001969 1
< 0.1%
70001993 1
< 0.1%
70002002 1
< 0.1%
ValueCountFrequency (%)
641230771 1
< 0.1%
640960536 1
< 0.1%
640796574 1
< 0.1%
639752770 1
< 0.1%
639752663 1
< 0.1%
637156730 1
< 0.1%
636424198 1
< 0.1%
636203843 1
< 0.1%
636203807 1
< 0.1%
636203747 1
< 0.1%
Distinct9932
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:01:39.427979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length325
Mean length39.4246
Min length1

Characters and Unicode

Total characters394246
Distinct characters1619
Distinct categories8 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9872 ?
Unique (%)98.7%

Sample

1st row뉴욕아트앤더시티 NEWYORKARTANDTHECITY 뉴욕거리에서현대미술을만나다 컬쳐트래블 CULTURETRAVEL
2nd row골프천재가된홍대리 골프천재가 된홍대리 된 홍대리
3rd row나는고양이라고 나는 고양이라고 おれはねこだぜ 생각하는숲 생각하는 숲
4th row신뢰소셜미디어시대의성공키워드 고객의마음을여는신뢰에이전트뉴미디어마케팅의선봉에서다 TRUSTAGENTSUSINGTHEWEBTOBUILDINFLUENCEIMPROVEREPUTATIONANDEARNTRUST 에이콘소셜미디어시리즈
5th row딱지딱지코딱지 아이세움EXCITINGBOOKS 생활팬터지
ValueCountFrequency (%)
그림책 95
 
0.2%
이야기 65
 
0.2%
mylittlelibrary 61
 
0.2%
ki신서 55
 
0.1%
46
 
0.1%
우리 43
 
0.1%
nobuyoung 42
 
0.1%
케이아이신서 37
 
0.1%
the 36
 
0.1%
위한 35
 
0.1%
Other values (31849) 38539
98.7%
2023-12-11T08:01:39.855351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29335
 
7.4%
E 13621
 
3.5%
A 9815
 
2.5%
O 9250
 
2.3%
I 8962
 
2.3%
T 8862
 
2.2%
N 8541
 
2.2%
S 7893
 
2.0%
R 7866
 
2.0%
7116
 
1.8%
Other values (1609) 282985
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238524
60.5%
Uppercase Letter 119905
30.4%
Space Separator 29335
 
7.4%
Decimal Number 5127
 
1.3%
Other Punctuation 969
 
0.2%
Lowercase Letter 382
 
0.1%
Letter Number 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7116
 
3.0%
6199
 
2.6%
4435
 
1.9%
4380
 
1.8%
3767
 
1.6%
3520
 
1.5%
3210
 
1.3%
3174
 
1.3%
3081
 
1.3%
3081
 
1.3%
Other values (1494) 196561
82.4%
Uppercase Letter
ValueCountFrequency (%)
E 13621
 
11.4%
A 9815
 
8.2%
O 9250
 
7.7%
I 8962
 
7.5%
T 8862
 
7.4%
N 8541
 
7.1%
S 7893
 
6.6%
R 7866
 
6.6%
L 5675
 
4.7%
H 4858
 
4.1%
Other values (56) 34562
28.8%
Lowercase Letter
ValueCountFrequency (%)
р 40
 
10.5%
г 32
 
8.4%
а 32
 
8.4%
н 32
 
8.4%
о 30
 
7.9%
л 27
 
7.1%
д 24
 
6.3%
э 19
 
5.0%
т 18
 
4.7%
е 15
 
3.9%
Other values (22) 113
29.6%
Decimal Number
ValueCountFrequency (%)
0 1352
26.4%
1 1250
24.4%
2 718
14.0%
3 443
 
8.6%
5 344
 
6.7%
9 248
 
4.8%
4 214
 
4.2%
6 195
 
3.8%
8 193
 
3.8%
7 170
 
3.3%
Letter Number
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Other Punctuation
ValueCountFrequency (%)
? 939
96.9%
" 30
 
3.1%
Space Separator
ValueCountFrequency (%)
29335
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236212
59.9%
Latin 119817
30.4%
Common 35432
 
9.0%
Hiragana 1610
 
0.4%
Katakana 702
 
0.2%
Cyrillic 445
 
0.1%
Greek 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7116
 
3.0%
6199
 
2.6%
4435
 
1.9%
4380
 
1.9%
3767
 
1.6%
3520
 
1.5%
3210
 
1.4%
3174
 
1.3%
3081
 
1.3%
3081
 
1.3%
Other values (1349) 194249
82.2%
Katakana
ValueCountFrequency (%)
52
 
7.4%
41
 
5.8%
34
 
4.8%
29
 
4.1%
26
 
3.7%
25
 
3.6%
24
 
3.4%
22
 
3.1%
20
 
2.8%
19
 
2.7%
Other values (64) 410
58.4%
Hiragana
ValueCountFrequency (%)
195
 
12.1%
77
 
4.8%
71
 
4.4%
68
 
4.2%
64
 
4.0%
52
 
3.2%
48
 
3.0%
46
 
2.9%
42
 
2.6%
39
 
2.4%
Other values (61) 908
56.4%
Cyrillic
ValueCountFrequency (%)
р 40
 
9.0%
г 32
 
7.2%
а 32
 
7.2%
н 32
 
7.2%
о 30
 
6.7%
л 27
 
6.1%
д 24
 
5.4%
э 19
 
4.3%
т 18
 
4.0%
е 15
 
3.4%
Other values (41) 176
39.6%
Latin
ValueCountFrequency (%)
E 13621
 
11.4%
A 9815
 
8.2%
O 9250
 
7.7%
I 8962
 
7.5%
T 8862
 
7.4%
N 8541
 
7.1%
S 7893
 
6.6%
R 7866
 
6.6%
L 5675
 
4.7%
H 4858
 
4.1%
Other values (23) 34474
28.8%
Greek
ValueCountFrequency (%)
Α 3
10.7%
Σ 3
10.7%
Τ 2
 
7.1%
Ι 2
 
7.1%
Μ 2
 
7.1%
Ρ 2
 
7.1%
Ε 2
 
7.1%
Ο 2
 
7.1%
β 2
 
7.1%
Η 1
 
3.6%
Other values (7) 7
25.0%
Common
ValueCountFrequency (%)
29335
82.8%
0 1352
 
3.8%
1 1250
 
3.5%
? 939
 
2.7%
2 718
 
2.0%
3 443
 
1.3%
5 344
 
1.0%
9 248
 
0.7%
4 214
 
0.6%
6 195
 
0.6%
Other values (4) 394
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236201
59.9%
ASCII 155238
39.4%
Hiragana 1610
 
0.4%
Katakana 702
 
0.2%
Cyrillic 445
 
0.1%
None 36
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29335
18.9%
E 13621
 
8.8%
A 9815
 
6.3%
O 9250
 
6.0%
I 8962
 
5.8%
T 8862
 
5.7%
N 8541
 
5.5%
S 7893
 
5.1%
R 7866
 
5.1%
L 5675
 
3.7%
Other values (29) 45418
29.3%
Hangul
ValueCountFrequency (%)
7116
 
3.0%
6199
 
2.6%
4435
 
1.9%
4380
 
1.9%
3767
 
1.6%
3520
 
1.5%
3210
 
1.4%
3174
 
1.3%
3081
 
1.3%
3081
 
1.3%
Other values (1343) 194238
82.2%
Hiragana
ValueCountFrequency (%)
195
 
12.1%
77
 
4.8%
71
 
4.4%
68
 
4.2%
64
 
4.0%
52
 
3.2%
48
 
3.0%
46
 
2.9%
42
 
2.6%
39
 
2.4%
Other values (61) 908
56.4%
Katakana
ValueCountFrequency (%)
52
 
7.4%
41
 
5.8%
34
 
4.8%
29
 
4.1%
26
 
3.7%
25
 
3.6%
24
 
3.4%
22
 
3.1%
20
 
2.8%
19
 
2.7%
Other values (64) 410
58.4%
Cyrillic
ValueCountFrequency (%)
р 40
 
9.0%
г 32
 
7.2%
а 32
 
7.2%
н 32
 
7.2%
о 30
 
6.7%
л 27
 
6.1%
д 24
 
5.4%
э 19
 
4.3%
т 18
 
4.0%
е 15
 
3.4%
Other values (41) 176
39.6%
Compat Jamo
ValueCountFrequency (%)
4
36.4%
2
18.2%
2
18.2%
1
 
9.1%
1
 
9.1%
1
 
9.1%
None
ValueCountFrequency (%)
ı 4
 
11.1%
Α 3
 
8.3%
Σ 3
 
8.3%
Τ 2
 
5.6%
Ι 2
 
5.6%
Μ 2
 
5.6%
Ρ 2
 
5.6%
Ε 2
 
5.6%
Ο 2
 
5.6%
β 2
 
5.6%
Other values (12) 12
33.3%
Number Forms
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct9833
Distinct (%)98.5%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:01:40.212520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length346
Median length126
Mean length18.472509
Min length1

Characters and Unicode

Total characters184448
Distinct characters1238
Distinct categories5 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9744 ?
Unique (%)97.6%

Sample

1st row뉴욕여행 미술여행 현대미술 뉴욕미술여행
2nd row골프천재 홍대리 독학 3개월 만 보기 플레이어 거듭난 홍 대리 비밀 골프채 번 못 잡아본 10 머리 올리
3rd row고양이 일본동화 창작동화 일본문학
4th row인터넷마케팅 인터넷커뮤니티 신뢰 뉴미디어 소셜미디어
5th row딱지 코딱지 아이세움 EXCITING BOOKS 생활 팬터지 익사이팅 북스
ValueCountFrequency (%)
한국문학 409
 
0.9%
영어동화 336
 
0.8%
그림책 279
 
0.6%
장편소설 266
 
0.6%
창작동화 232
 
0.5%
한국동화 225
 
0.5%
역사 163
 
0.4%
영미문학 158
 
0.4%
한국소설 154
 
0.3%
사랑 151
 
0.3%
Other values (18838) 41895
94.6%
2023-12-11T08:01:40.798909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34284
 
18.6%
3130
 
1.7%
2812
 
1.5%
E 2657
 
1.4%
2566
 
1.4%
2453
 
1.3%
2401
 
1.3%
2397
 
1.3%
2223
 
1.2%
2190
 
1.2%
Other values (1228) 127335
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124752
67.6%
Space Separator 34284
 
18.6%
Uppercase Letter 24237
 
13.1%
Decimal Number 1170
 
0.6%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3130
 
2.5%
2812
 
2.3%
2566
 
2.1%
2453
 
2.0%
2401
 
1.9%
2397
 
1.9%
2223
 
1.8%
2190
 
1.8%
2137
 
1.7%
2106
 
1.7%
Other values (1189) 100337
80.4%
Uppercase Letter
ValueCountFrequency (%)
E 2657
 
11.0%
A 1907
 
7.9%
R 1886
 
7.8%
I 1837
 
7.6%
T 1716
 
7.1%
S 1714
 
7.1%
O 1678
 
6.9%
N 1385
 
5.7%
L 1341
 
5.5%
D 935
 
3.9%
Other values (16) 7181
29.6%
Decimal Number
ValueCountFrequency (%)
1 287
24.5%
0 285
24.4%
2 155
13.2%
3 112
 
9.6%
5 79
 
6.8%
9 67
 
5.7%
4 58
 
5.0%
8 51
 
4.4%
6 39
 
3.3%
7 37
 
3.2%
Other Punctuation
ValueCountFrequency (%)
? 3
60.0%
" 2
40.0%
Space Separator
ValueCountFrequency (%)
34284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124748
67.6%
Common 35459
 
19.2%
Latin 24237
 
13.1%
Katakana 2
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3130
 
2.5%
2812
 
2.3%
2566
 
2.1%
2453
 
2.0%
2401
 
1.9%
2397
 
1.9%
2223
 
1.8%
2190
 
1.8%
2137
 
1.7%
2106
 
1.7%
Other values (1185) 100333
80.4%
Latin
ValueCountFrequency (%)
E 2657
 
11.0%
A 1907
 
7.9%
R 1886
 
7.8%
I 1837
 
7.6%
T 1716
 
7.1%
S 1714
 
7.1%
O 1678
 
6.9%
N 1385
 
5.7%
L 1341
 
5.5%
D 935
 
3.9%
Other values (16) 7181
29.6%
Common
ValueCountFrequency (%)
34284
96.7%
1 287
 
0.8%
0 285
 
0.8%
2 155
 
0.4%
3 112
 
0.3%
5 79
 
0.2%
9 67
 
0.2%
4 58
 
0.2%
8 51
 
0.1%
6 39
 
0.1%
Other values (3) 42
 
0.1%
Katakana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124743
67.6%
ASCII 59696
32.4%
Compat Jamo 5
 
< 0.1%
Katakana 2
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34284
57.4%
E 2657
 
4.5%
A 1907
 
3.2%
R 1886
 
3.2%
I 1837
 
3.1%
T 1716
 
2.9%
S 1714
 
2.9%
O 1678
 
2.8%
N 1385
 
2.3%
L 1341
 
2.2%
Other values (29) 9291
 
15.6%
Hangul
ValueCountFrequency (%)
3130
 
2.5%
2812
 
2.3%
2566
 
2.1%
2453
 
2.0%
2401
 
1.9%
2397
 
1.9%
2223
 
1.8%
2190
 
1.8%
2137
 
1.7%
2106
 
1.7%
Other values (1180) 100328
80.4%
Compat Jamo
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Katakana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct9285
Distinct (%)92.9%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:01:41.192647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length355
Median length130
Mean length20.114569
Min length1

Characters and Unicode

Total characters201025
Distinct characters1165
Distinct categories8 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8829 ?
Unique (%)88.3%

Sample

1st row양은희
2nd row김헌
3rd row좌야양자 사노요코 이선아 사노요코글그림
4th row브로건크리스 BROGANCHRIS SMITHJULIEN 스미스줄리엔 INMD 크리스브로건
5th row조성자 오영아
ValueCountFrequency (%)
편집부 67
 
0.2%
41
 
0.1%
이형진 23
 
0.1%
공경희 22
 
0.1%
크리스티애거서 21
 
0.1%
햇살과나무꾼 21
 
0.1%
이상희 21
 
0.1%
이현주 20
 
0.1%
christieagatha 20
 
0.1%
김영진 20
 
0.1%
Other values (22143) 29713
99.1%
2023-12-11T08:01:41.743052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20000
 
9.9%
E 7900
 
3.9%
A 7551
 
3.8%
R 5867
 
2.9%
N 5728
 
2.8%
I 5114
 
2.5%
L 4490
 
2.2%
4413
 
2.2%
O 4153
 
2.1%
S 3760
 
1.9%
Other values (1155) 132049
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107108
53.3%
Uppercase Letter 72878
36.3%
Space Separator 20000
 
9.9%
Other Punctuation 776
 
0.4%
Lowercase Letter 156
 
0.1%
Decimal Number 105
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4413
 
4.1%
2778
 
2.6%
2584
 
2.4%
2400
 
2.2%
2144
 
2.0%
1805
 
1.7%
1507
 
1.4%
1480
 
1.4%
1119
 
1.0%
1088
 
1.0%
Other values (1065) 85790
80.1%
Uppercase Letter
ValueCountFrequency (%)
E 7900
 
10.8%
A 7551
 
10.4%
R 5867
 
8.1%
N 5728
 
7.9%
I 5114
 
7.0%
L 4490
 
6.2%
O 4153
 
5.7%
S 3760
 
5.2%
T 3460
 
4.7%
H 2795
 
3.8%
Other values (39) 22060
30.3%
Lowercase Letter
ValueCountFrequency (%)
а 23
14.7%
н 18
 
11.5%
о 15
 
9.6%
и 11
 
7.1%
л 9
 
5.8%
г 9
 
5.8%
з 7
 
4.5%
р 7
 
4.5%
у 6
 
3.8%
д 6
 
3.8%
Other values (16) 45
28.8%
Decimal Number
ValueCountFrequency (%)
0 21
20.0%
2 20
19.0%
1 15
14.3%
3 12
11.4%
6 12
11.4%
4 11
10.5%
5 6
 
5.7%
7 4
 
3.8%
8 3
 
2.9%
9 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
? 772
99.5%
" 4
 
0.5%
Space Separator
ValueCountFrequency (%)
20000
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106613
53.0%
Latin 72816
36.2%
Common 20883
 
10.4%
Hiragana 257
 
0.1%
Katakana 238
 
0.1%
Cyrillic 218
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4413
 
4.1%
2778
 
2.6%
2584
 
2.4%
2400
 
2.3%
2144
 
2.0%
1805
 
1.7%
1507
 
1.4%
1480
 
1.4%
1119
 
1.0%
1088
 
1.0%
Other values (961) 85295
80.0%
Katakana
ValueCountFrequency (%)
11
 
4.6%
10
 
4.2%
9
 
3.8%
9
 
3.8%
8
 
3.4%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
Other values (48) 156
65.5%
Cyrillic
ValueCountFrequency (%)
а 23
 
10.6%
н 18
 
8.3%
о 15
 
6.9%
и 11
 
5.0%
л 9
 
4.1%
г 9
 
4.1%
Д 8
 
3.7%
з 7
 
3.2%
р 7
 
3.2%
А 7
 
3.2%
Other values (39) 104
47.7%
Hiragana
ValueCountFrequency (%)
19
 
7.4%
18
 
7.0%
15
 
5.8%
12
 
4.7%
11
 
4.3%
10
 
3.9%
9
 
3.5%
9
 
3.5%
8
 
3.1%
8
 
3.1%
Other values (36) 138
53.7%
Latin
ValueCountFrequency (%)
E 7900
 
10.8%
A 7551
 
10.4%
R 5867
 
8.1%
N 5728
 
7.9%
I 5114
 
7.0%
L 4490
 
6.2%
O 4153
 
5.7%
S 3760
 
5.2%
T 3460
 
4.8%
H 2795
 
3.8%
Other values (16) 21998
30.2%
Common
ValueCountFrequency (%)
20000
95.8%
? 772
 
3.7%
0 21
 
0.1%
2 20
 
0.1%
1 15
 
0.1%
3 12
 
0.1%
6 12
 
0.1%
4 11
 
0.1%
5 6
 
< 0.1%
7 4
 
< 0.1%
Other values (5) 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106612
53.0%
ASCII 93699
46.6%
Hiragana 257
 
0.1%
Katakana 238
 
0.1%
Cyrillic 218
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20000
21.3%
E 7900
 
8.4%
A 7551
 
8.1%
R 5867
 
6.3%
N 5728
 
6.1%
I 5114
 
5.5%
L 4490
 
4.8%
O 4153
 
4.4%
S 3760
 
4.0%
T 3460
 
3.7%
Other values (31) 25676
27.4%
Hangul
ValueCountFrequency (%)
4413
 
4.1%
2778
 
2.6%
2584
 
2.4%
2400
 
2.3%
2144
 
2.0%
1805
 
1.7%
1507
 
1.4%
1480
 
1.4%
1119
 
1.0%
1088
 
1.0%
Other values (960) 85294
80.0%
Cyrillic
ValueCountFrequency (%)
а 23
 
10.6%
н 18
 
8.3%
о 15
 
6.9%
и 11
 
5.0%
л 9
 
4.1%
г 9
 
4.1%
Д 8
 
3.7%
з 7
 
3.2%
р 7
 
3.2%
А 7
 
3.2%
Other values (39) 104
47.7%
Hiragana
ValueCountFrequency (%)
19
 
7.4%
18
 
7.0%
15
 
5.8%
12
 
4.7%
11
 
4.3%
10
 
3.9%
9
 
3.5%
9
 
3.5%
8
 
3.1%
8
 
3.1%
Other values (36) 138
53.7%
Katakana
ValueCountFrequency (%)
11
 
4.6%
10
 
4.2%
9
 
3.8%
9
 
3.8%
8
 
3.4%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
Other values (48) 156
65.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct2743
Distinct (%)27.5%
Missing11
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:01:42.064088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length5.091801
Min length1

Characters and Unicode

Total characters50862
Distinct characters691
Distinct categories6 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1403 ?
Unique (%)14.0%

Sample

1st row랜덤하우스
2nd row다산북스 다산라이프
3rd row시공주니어
4th row에이콘
5th row아이세움
ValueCountFrequency (%)
문학동네 177
 
1.7%
창비 125
 
1.2%
비룡소 107
 
1.0%
주니어김영사 82
 
0.8%
위즈덤하우스 81
 
0.8%
웅진씽크빅 81
 
0.8%
사계절 80
 
0.8%
21세기북스 74
 
0.7%
민음사 69
 
0.7%
시공주니어 68
 
0.7%
Other values (2629) 9444
90.9%
2023-12-11T08:01:42.580165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1642
 
3.2%
O 1375
 
2.7%
1303
 
2.6%
S 1114
 
2.2%
895
 
1.8%
892
 
1.8%
R 868
 
1.7%
I 861
 
1.7%
E 822
 
1.6%
A 811
 
1.6%
Other values (681) 40279
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37489
73.7%
Uppercase Letter 12353
 
24.3%
Space Separator 399
 
0.8%
Other Punctuation 368
 
0.7%
Decimal Number 220
 
0.4%
Lowercase Letter 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1642
 
4.4%
1303
 
3.5%
895
 
2.4%
892
 
2.4%
807
 
2.2%
799
 
2.1%
678
 
1.8%
625
 
1.7%
569
 
1.5%
569
 
1.5%
Other values (626) 28710
76.6%
Uppercase Letter
ValueCountFrequency (%)
O 1375
 
11.1%
S 1114
 
9.0%
R 868
 
7.0%
I 861
 
7.0%
E 822
 
6.7%
A 811
 
6.6%
L 715
 
5.8%
N 677
 
5.5%
B 578
 
4.7%
H 570
 
4.6%
Other values (20) 3962
32.1%
Lowercase Letter
ValueCountFrequency (%)
н 6
18.2%
а 6
18.2%
х 4
12.1%
и 3
9.1%
о 3
9.1%
г 2
 
6.1%
э 2
 
6.1%
р 1
 
3.0%
д 1
 
3.0%
у 1
 
3.0%
Other values (4) 4
12.1%
Decimal Number
ValueCountFrequency (%)
2 105
47.7%
1 102
46.4%
0 6
 
2.7%
3 2
 
0.9%
6 1
 
0.5%
1
 
0.5%
1
 
0.5%
9 1
 
0.5%
4 1
 
0.5%
Space Separator
ValueCountFrequency (%)
399
100.0%
Other Punctuation
ValueCountFrequency (%)
? 368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37466
73.7%
Latin 12347
 
24.3%
Common 987
 
1.9%
Cyrillic 39
 
0.1%
Katakana 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1642
 
4.4%
1303
 
3.5%
895
 
2.4%
892
 
2.4%
807
 
2.2%
799
 
2.1%
678
 
1.8%
625
 
1.7%
569
 
1.5%
569
 
1.5%
Other values (612) 28687
76.6%
Latin
ValueCountFrequency (%)
O 1375
 
11.1%
S 1114
 
9.0%
R 868
 
7.0%
I 861
 
7.0%
E 822
 
6.7%
A 811
 
6.6%
L 715
 
5.8%
N 677
 
5.5%
B 578
 
4.7%
H 570
 
4.6%
Other values (16) 3956
32.0%
Cyrillic
ValueCountFrequency (%)
н 6
15.4%
а 6
15.4%
х 4
10.3%
и 3
 
7.7%
о 3
 
7.7%
З 2
 
5.1%
г 2
 
5.1%
э 2
 
5.1%
Э 2
 
5.1%
р 1
 
2.6%
Other values (8) 8
20.5%
Katakana
ValueCountFrequency (%)
3
13.0%
3
13.0%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (4) 4
17.4%
Common
ValueCountFrequency (%)
399
40.4%
? 368
37.3%
2 105
 
10.6%
1 102
 
10.3%
0 6
 
0.6%
3 2
 
0.2%
6 1
 
0.1%
1
 
0.1%
1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37466
73.7%
ASCII 13332
 
26.2%
Cyrillic 39
 
0.1%
Katakana 23
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1642
 
4.4%
1303
 
3.5%
895
 
2.4%
892
 
2.4%
807
 
2.2%
799
 
2.1%
678
 
1.8%
625
 
1.7%
569
 
1.5%
569
 
1.5%
Other values (612) 28687
76.6%
ASCII
ValueCountFrequency (%)
O 1375
 
10.3%
S 1114
 
8.4%
R 868
 
6.5%
I 861
 
6.5%
E 822
 
6.2%
A 811
 
6.1%
L 715
 
5.4%
N 677
 
5.1%
B 578
 
4.3%
H 570
 
4.3%
Other values (25) 4941
37.1%
Cyrillic
ValueCountFrequency (%)
н 6
15.4%
а 6
15.4%
х 4
10.3%
и 3
 
7.7%
о 3
 
7.7%
З 2
 
5.1%
г 2
 
5.1%
э 2
 
5.1%
Э 2
 
5.1%
р 1
 
2.6%
Other values (8) 8
20.5%
Katakana
ValueCountFrequency (%)
3
13.0%
3
13.0%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (4) 4
17.4%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%

색인용권서명
Text

MISSING 

Distinct287
Distinct (%)97.6%
Missing9706
Missing (%)97.1%
Memory size156.2 KiB
2023-12-11T08:01:42.802228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length856
Median length228
Mean length27.833333
Min length1

Characters and Unicode

Total characters8183
Distinct characters696
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)95.9%

Sample

1st row2부평토제
2nd row어떤일이라도좋게바꿀수있어
3rd row곤충의습격
4th row김대중이이희호에게 이희호가김대중에게
5th row박춘삼교장CSI를만들다
ValueCountFrequency (%)
필수핵심문제집 4
 
0.5%
상관색인 4
 
0.5%
최후의대결 2
 
0.2%
유클리드가만든삼각형 2
 
0.2%
이집트인들이만든분수 2
 
0.2%
가우스가만든머리셈 2
 
0.2%
아르키메데스가만든원 2
 
0.2%
탈레스가만든합동과닮음 2
 
0.2%
가우스가만든등비수열 2
 
0.2%
피에트하인이만든쌓기나무 2
 
0.2%
Other values (782) 820
97.2%
2023-12-11T08:01:43.246573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
 
6.7%
262
 
3.2%
195
 
2.4%
176
 
2.2%
174
 
2.1%
140
 
1.7%
137
 
1.7%
126
 
1.5%
115
 
1.4%
107
 
1.3%
Other values (686) 6201
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7168
87.6%
Space Separator 550
 
6.7%
Uppercase Letter 300
 
3.7%
Decimal Number 163
 
2.0%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
262
 
3.7%
195
 
2.7%
176
 
2.5%
174
 
2.4%
140
 
2.0%
137
 
1.9%
126
 
1.8%
115
 
1.6%
107
 
1.5%
98
 
1.4%
Other values (652) 5638
78.7%
Uppercase Letter
ValueCountFrequency (%)
T 37
12.3%
E 36
12.0%
S 25
 
8.3%
O 25
 
8.3%
N 23
 
7.7%
H 22
 
7.3%
I 20
 
6.7%
L 15
 
5.0%
R 15
 
5.0%
C 13
 
4.3%
Other values (12) 69
23.0%
Decimal Number
ValueCountFrequency (%)
1 47
28.8%
2 25
15.3%
9 23
14.1%
0 15
 
9.2%
4 12
 
7.4%
8 10
 
6.1%
3 10
 
6.1%
5 10
 
6.1%
6 8
 
4.9%
7 3
 
1.8%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7168
87.6%
Common 715
 
8.7%
Latin 300
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
262
 
3.7%
195
 
2.7%
176
 
2.5%
174
 
2.4%
140
 
2.0%
137
 
1.9%
126
 
1.8%
115
 
1.6%
107
 
1.5%
98
 
1.4%
Other values (652) 5638
78.7%
Latin
ValueCountFrequency (%)
T 37
12.3%
E 36
12.0%
S 25
 
8.3%
O 25
 
8.3%
N 23
 
7.7%
H 22
 
7.3%
I 20
 
6.7%
L 15
 
5.0%
R 15
 
5.0%
C 13
 
4.3%
Other values (12) 69
23.0%
Common
ValueCountFrequency (%)
550
76.9%
1 47
 
6.6%
2 25
 
3.5%
9 23
 
3.2%
0 15
 
2.1%
4 12
 
1.7%
8 10
 
1.4%
3 10
 
1.4%
5 10
 
1.4%
6 8
 
1.1%
Other values (2) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7166
87.6%
ASCII 1015
 
12.4%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
54.2%
1 47
 
4.6%
T 37
 
3.6%
E 36
 
3.5%
2 25
 
2.5%
S 25
 
2.5%
O 25
 
2.5%
N 23
 
2.3%
9 23
 
2.3%
H 22
 
2.2%
Other values (24) 202
 
19.9%
Hangul
ValueCountFrequency (%)
262
 
3.7%
195
 
2.7%
176
 
2.5%
174
 
2.4%
140
 
2.0%
137
 
1.9%
126
 
1.8%
115
 
1.6%
107
 
1.5%
98
 
1.4%
Other values (651) 5636
78.6%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

색인용ISBN
Text

MISSING 

Distinct852
Distinct (%)9.0%
Missing574
Missing (%)5.7%
Memory size156.2 KiB
2023-12-11T08:01:43.461861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length8
Mean length9.0114577
Min length5

Characters and Unicode

Total characters84942
Distinct characters27
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique834 ?
Unique (%)8.8%

Sample

1st row9.79E+12
2nd row9788963702872세트 9788963702889
3rd row9.79E+12
4th row9.79E+12
5th row8937811057
ValueCountFrequency (%)
9.79e+12 7682
78.3%
9.78e+12 831
 
8.5%
8.94e+12 26
 
0.3%
97889 8
 
0.1%
9788954609012세트 8
 
0.1%
9788958852612세트 8
 
0.1%
9788954830072세트 8
 
0.1%
9788954837798세트 8
 
0.1%
9788916052283세트 7
 
0.1%
9788901040509세트 6
 
0.1%
Other values (1130) 1222
 
12.5%
2023-12-11T08:01:43.815672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 19062
22.4%
7 10206
12.0%
1 9721
11.4%
2 9443
11.1%
E 8585
10.1%
+ 8565
10.1%
. 8565
10.1%
8 3700
 
4.4%
0 1391
 
1.6%
5 1043
 
1.2%
Other values (17) 4661
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57343
67.5%
Uppercase Letter 8676
 
10.2%
Math Symbol 8565
 
10.1%
Other Punctuation 8565
 
10.1%
Space Separator 1010
 
1.2%
Other Letter 783
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 19062
33.2%
7 10206
17.8%
1 9721
17.0%
2 9443
16.5%
8 3700
 
6.5%
0 1391
 
2.4%
5 1043
 
1.8%
4 1022
 
1.8%
3 960
 
1.7%
6 795
 
1.4%
Other Letter
ValueCountFrequency (%)
375
47.9%
375
47.9%
15
 
1.9%
14
 
1.8%
1
 
0.1%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
E 8585
99.0%
X 48
 
0.6%
T 21
 
0.2%
S 20
 
0.2%
K 1
 
< 0.1%
P 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 8565
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8565
100.0%
Space Separator
ValueCountFrequency (%)
1010
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75483
88.9%
Latin 8676
 
10.2%
Hangul 783
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
9 19062
25.3%
7 10206
13.5%
1 9721
12.9%
2 9443
12.5%
+ 8565
11.3%
. 8565
11.3%
8 3700
 
4.9%
0 1391
 
1.8%
5 1043
 
1.4%
4 1022
 
1.4%
Other values (3) 2765
 
3.7%
Hangul
ValueCountFrequency (%)
375
47.9%
375
47.9%
15
 
1.9%
14
 
1.8%
1
 
0.1%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Latin
ValueCountFrequency (%)
E 8585
99.0%
X 48
 
0.6%
T 21
 
0.2%
S 20
 
0.2%
K 1
 
< 0.1%
P 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84159
99.1%
Hangul 783
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 19062
22.6%
7 10206
12.1%
1 9721
11.6%
2 9443
11.2%
E 8585
10.2%
+ 8565
10.2%
. 8565
10.2%
8 3700
 
4.4%
0 1391
 
1.7%
5 1043
 
1.2%
Other values (9) 3878
 
4.6%
Hangul
ValueCountFrequency (%)
375
47.9%
375
47.9%
15
 
1.9%
14
 
1.8%
1
 
0.1%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Distinct9957
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:01:44.236174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length166
Median length96
Mean length20.5167
Min length1

Characters and Unicode

Total characters205167
Distinct characters2005
Distinct categories14 ?
Distinct scripts7 ?
Distinct blocks15 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9918 ?
Unique (%)99.2%

Sample

1st row뉴욕, 아트 앤 더 시티 = New York art and the city : 뉴욕 거리에서 현대미술을 만나다
2nd row골프천재가 된 홍대리. 2 : 독학으로 3개월 만에 보기 플레이어로 거듭난 홍 대리의 비밀
3rd row나는 고양이라고!
4th row신뢰! 소셜미디어 시대의 성공 키워드 : 고객의 마음을 여는 신뢰 에이전트, 뉴미디어 마케팅의 선봉에 서다
5th row딱지, 딱지, 코딱지
ValueCountFrequency (%)
4243
 
8.5%
이야기 368
 
0.7%
장편소설 317
 
0.6%
the 267
 
0.5%
178
 
0.4%
of 172
 
0.3%
1 162
 
0.3%
and 154
 
0.3%
우리 146
 
0.3%
2 143
 
0.3%
Other values (22811) 43990
87.7%
2023-12-11T08:01:45.121686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40567
 
19.8%
3576
 
1.7%
e 3508
 
1.7%
: 3419
 
1.7%
3203
 
1.6%
o 2496
 
1.2%
a 2495
 
1.2%
2286
 
1.1%
i 2265
 
1.1%
n 2198
 
1.1%
Other values (1995) 139154
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114362
55.7%
Space Separator 40567
 
19.8%
Lowercase Letter 29491
 
14.4%
Other Punctuation 7792
 
3.8%
Uppercase Letter 4273
 
2.1%
Decimal Number 3829
 
1.9%
Close Punctuation 1798
 
0.9%
Open Punctuation 1798
 
0.9%
Math Symbol 837
 
0.4%
Dash Punctuation 400
 
0.2%
Other values (4) 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3576
 
3.1%
3203
 
2.8%
2286
 
2.0%
2008
 
1.8%
1702
 
1.5%
1645
 
1.4%
1624
 
1.4%
1623
 
1.4%
1487
 
1.3%
1467
 
1.3%
Other values (1856) 93741
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 3508
11.9%
o 2496
 
8.5%
a 2495
 
8.5%
i 2265
 
7.7%
n 2198
 
7.5%
t 2179
 
7.4%
r 1985
 
6.7%
s 1826
 
6.2%
l 1353
 
4.6%
h 1301
 
4.4%
Other values (42) 7885
26.7%
Uppercase Letter
ValueCountFrequency (%)
T 461
 
10.8%
S 377
 
8.8%
B 310
 
7.3%
C 301
 
7.0%
M 241
 
5.6%
P 239
 
5.6%
A 234
 
5.5%
D 203
 
4.8%
W 187
 
4.4%
L 186
 
4.4%
Other values (21) 1534
35.9%
Other Punctuation
ValueCountFrequency (%)
: 3419
43.9%
? 1302
 
16.7%
, 1151
 
14.8%
. 892
 
11.4%
! 410
 
5.3%
' 238
 
3.1%
· 225
 
2.9%
& 59
 
0.8%
% 23
 
0.3%
/ 15
 
0.2%
Other values (9) 58
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 1070
27.9%
0 763
19.9%
2 644
16.8%
3 324
 
8.5%
5 242
 
6.3%
9 210
 
5.5%
4 170
 
4.4%
8 141
 
3.7%
6 140
 
3.7%
7 125
 
3.3%
Math Symbol
ValueCountFrequency (%)
= 754
90.1%
~ 38
 
4.5%
+ 26
 
3.1%
< 6
 
0.7%
> 6
 
0.7%
3
 
0.4%
3
 
0.4%
× 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1720
95.7%
] 66
 
3.7%
11
 
0.6%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1720
95.7%
[ 66
 
3.7%
11
 
0.6%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
5
45.5%
4
36.4%
1
 
9.1%
1
 
9.1%
Other Symbol
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
40567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112702
54.9%
Common 57030
27.8%
Latin 33606
 
16.4%
Han 1467
 
0.7%
Cyrillic 169
 
0.1%
Hiragana 159
 
0.1%
Katakana 34
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3576
 
3.2%
3203
 
2.8%
2286
 
2.0%
2008
 
1.8%
1702
 
1.5%
1645
 
1.5%
1624
 
1.4%
1623
 
1.4%
1487
 
1.3%
1467
 
1.3%
Other values (1248) 92081
81.7%
Han
ValueCountFrequency (%)
32
 
2.2%
26
 
1.8%
24
 
1.6%
23
 
1.6%
20
 
1.4%
19
 
1.3%
17
 
1.2%
16
 
1.1%
16
 
1.1%
16
 
1.1%
Other values (524) 1258
85.8%
Latin
ValueCountFrequency (%)
e 3508
 
10.4%
o 2496
 
7.4%
a 2495
 
7.4%
i 2265
 
6.7%
n 2198
 
6.5%
t 2179
 
6.5%
r 1985
 
5.9%
s 1826
 
5.4%
l 1353
 
4.0%
h 1301
 
3.9%
Other values (47) 12000
35.7%
Common
ValueCountFrequency (%)
40567
71.1%
: 3419
 
6.0%
) 1720
 
3.0%
( 1720
 
3.0%
? 1302
 
2.3%
, 1151
 
2.0%
1 1070
 
1.9%
. 892
 
1.6%
0 763
 
1.3%
= 754
 
1.3%
Other values (42) 3672
 
6.4%
Hiragana
ValueCountFrequency (%)
11
 
6.9%
9
 
5.7%
7
 
4.4%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (40) 94
59.1%
Cyrillic
ValueCountFrequency (%)
о 16
 
9.5%
н 14
 
8.3%
р 14
 
8.3%
г 14
 
8.3%
а 13
 
7.7%
л 12
 
7.1%
э 12
 
7.1%
д 12
 
7.1%
х 8
 
4.7%
т 6
 
3.6%
Other values (20) 48
28.4%
Katakana
ValueCountFrequency (%)
3
 
8.8%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
1
 
2.9%
Other values (14) 14
41.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112693
54.9%
ASCII 90311
44.0%
CJK 1438
 
0.7%
None 301
 
0.1%
Cyrillic 169
 
0.1%
Hiragana 159
 
0.1%
Katakana 34
 
< 0.1%
CJK Compat Ideographs 29
 
< 0.1%
Number Forms 11
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Other values (5) 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40567
44.9%
e 3508
 
3.9%
: 3419
 
3.8%
o 2496
 
2.8%
a 2495
 
2.8%
i 2265
 
2.5%
n 2198
 
2.4%
t 2179
 
2.4%
r 1985
 
2.2%
s 1826
 
2.0%
Other values (77) 27373
30.3%
Hangul
ValueCountFrequency (%)
3576
 
3.2%
3203
 
2.8%
2286
 
2.0%
2008
 
1.8%
1702
 
1.5%
1645
 
1.5%
1624
 
1.4%
1623
 
1.4%
1487
 
1.3%
1467
 
1.3%
Other values (1242) 92072
81.7%
None
ValueCountFrequency (%)
· 225
74.8%
đ 14
 
4.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
7
 
2.3%
6
 
2.0%
5
 
1.7%
5
 
1.7%
3
 
1.0%
Other values (3) 3
 
1.0%
CJK
ValueCountFrequency (%)
32
 
2.2%
26
 
1.8%
24
 
1.7%
23
 
1.6%
20
 
1.4%
19
 
1.3%
17
 
1.2%
16
 
1.1%
16
 
1.1%
16
 
1.1%
Other values (510) 1229
85.5%
Cyrillic
ValueCountFrequency (%)
о 16
 
9.5%
н 14
 
8.3%
р 14
 
8.3%
г 14
 
8.3%
а 13
 
7.7%
л 12
 
7.1%
э 12
 
7.1%
д 12
 
7.1%
х 8
 
4.7%
т 6
 
3.6%
Other values (20) 48
28.4%
Hiragana
ValueCountFrequency (%)
11
 
6.9%
9
 
5.7%
7
 
4.4%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (40) 94
59.1%
CJK Compat Ideographs
ValueCountFrequency (%)
5
17.2%
4
13.8%
3
10.3%
3
10.3%
2
 
6.9%
2
 
6.9%
2
 
6.9%
2
 
6.9%
1
 
3.4%
1
 
3.4%
Other values (4) 4
13.8%
Number Forms
ValueCountFrequency (%)
5
45.5%
4
36.4%
1
 
9.1%
1
 
9.1%
Punctuation
ValueCountFrequency (%)
5
100.0%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
Katakana
ValueCountFrequency (%)
3
 
8.8%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
2
 
5.9%
1
 
2.9%
Other values (14) 14
41.2%
Math Operators
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
3
33.3%
2
22.2%
1
 
11.1%
1
 
11.1%
1
 
11.1%
1
 
11.1%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Geometric Shapes
ValueCountFrequency (%)
1
100.0%
Distinct9197
Distinct (%)92.1%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:01:45.563468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length96
Mean length17.38855
Min length2

Characters and Unicode

Total characters173729
Distinct characters1611
Distinct categories13 ?
Distinct scripts7 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8682 ?
Unique (%)86.9%

Sample

1st row양은희 지음
2nd row김헌 지음
3rd row사노 요코 글·그림 ; 이선아 옮김
4th row줄리엔 스미스 [공]지음 ; inmD 옮김 / 크리스 브로건
5th row조성자 글 ; 오영아 그림
ValueCountFrequency (%)
6713
 
13.8%
지음 4955
 
10.2%
옮김 3015
 
6.2%
그림 1987
 
4.1%
1595
 
3.3%
by 1317
 
2.7%
476
 
1.0%
illustrated 377
 
0.8%
공]지음 333
 
0.7%
글·그림 319
 
0.7%
Other values (14527) 27437
56.5%
2023-12-11T08:01:46.275066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39073
 
22.5%
6065
 
3.5%
5660
 
3.3%
; 5349
 
3.1%
5240
 
3.0%
3158
 
1.8%
3012
 
1.7%
2615
 
1.5%
e 2510
 
1.4%
2493
 
1.4%
Other values (1601) 98554
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92404
53.2%
Space Separator 39073
22.5%
Lowercase Letter 24592
 
14.2%
Other Punctuation 10524
 
6.1%
Uppercase Letter 4058
 
2.3%
Open Punctuation 1461
 
0.8%
Close Punctuation 1458
 
0.8%
Dash Punctuation 63
 
< 0.1%
Decimal Number 60
 
< 0.1%
Math Symbol 31
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6065
 
6.6%
5660
 
6.1%
5240
 
5.7%
3158
 
3.4%
3012
 
3.3%
2615
 
2.8%
2493
 
2.7%
2195
 
2.4%
1415
 
1.5%
1326
 
1.4%
Other values (1470) 59225
64.1%
Lowercase Letter
ValueCountFrequency (%)
e 2510
10.2%
a 2302
 
9.4%
i 1949
 
7.9%
l 1928
 
7.8%
r 1872
 
7.6%
t 1798
 
7.3%
y 1784
 
7.3%
n 1630
 
6.6%
b 1519
 
6.2%
s 1154
 
4.7%
Other values (43) 6146
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 417
 
10.3%
M 394
 
9.7%
J 277
 
6.8%
B 264
 
6.5%
A 248
 
6.1%
C 238
 
5.9%
L 223
 
5.5%
P 205
 
5.1%
D 204
 
5.0%
H 189
 
4.7%
Other values (30) 1399
34.5%
Other Punctuation
ValueCountFrequency (%)
; 5349
50.8%
, 1285
 
12.2%
/ 1237
 
11.8%
? 976
 
9.3%
. 848
 
8.1%
· 512
 
4.9%
: 286
 
2.7%
& 15
 
0.1%
' 8
 
0.1%
6
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 15
25.0%
0 9
15.0%
1 8
13.3%
3 8
13.3%
6 7
11.7%
4 6
 
10.0%
8 3
 
5.0%
7 2
 
3.3%
5 2
 
3.3%
Open Punctuation
ValueCountFrequency (%)
[ 1440
98.6%
( 12
 
0.8%
6
 
0.4%
2
 
0.1%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 1440
98.8%
) 12
 
0.8%
3
 
0.2%
2
 
0.1%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 16
51.6%
< 13
41.9%
+ 2
 
6.5%
Space Separator
ValueCountFrequency (%)
39073
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90965
52.4%
Common 52675
30.3%
Latin 28408
 
16.4%
Han 1264
 
0.7%
Cyrillic 242
 
0.1%
Hiragana 115
 
0.1%
Katakana 60
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6065
 
6.7%
5660
 
6.2%
5240
 
5.8%
3158
 
3.5%
3012
 
3.3%
2615
 
2.9%
2493
 
2.7%
2195
 
2.4%
1415
 
1.6%
1326
 
1.5%
Other values (912) 57786
63.5%
Han
ValueCountFrequency (%)
94
 
7.4%
55
 
4.4%
26
 
2.1%
25
 
2.0%
23
 
1.8%
19
 
1.5%
18
 
1.4%
12
 
0.9%
11
 
0.9%
11
 
0.9%
Other values (476) 970
76.7%
Latin
ValueCountFrequency (%)
e 2510
 
8.8%
a 2302
 
8.1%
i 1949
 
6.9%
l 1928
 
6.8%
r 1872
 
6.6%
t 1798
 
6.3%
y 1784
 
6.3%
n 1630
 
5.7%
b 1519
 
5.3%
s 1154
 
4.1%
Other values (42) 9962
35.1%
Cyrillic
ValueCountFrequency (%)
а 24
 
9.9%
н 20
 
8.3%
г 16
 
6.6%
э 16
 
6.6%
у 15
 
6.2%
л 15
 
6.2%
о 15
 
6.2%
и 14
 
5.8%
р 14
 
5.8%
ч 11
 
4.5%
Other values (31) 82
33.9%
Common
ValueCountFrequency (%)
39073
74.2%
; 5349
 
10.2%
[ 1440
 
2.7%
] 1440
 
2.7%
, 1285
 
2.4%
/ 1237
 
2.3%
? 976
 
1.9%
. 848
 
1.6%
· 512
 
1.0%
: 286
 
0.5%
Other values (28) 229
 
0.4%
Hiragana
ValueCountFrequency (%)
8
 
7.0%
8
 
7.0%
7
 
6.1%
7
 
6.1%
6
 
5.2%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
Other values (26) 54
47.0%
Katakana
ValueCountFrequency (%)
4
 
6.7%
3
 
5.0%
3
 
5.0%
3
 
5.0%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%
2
 
3.3%
2
 
3.3%
Other values (26) 33
55.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90964
52.4%
ASCII 80545
46.4%
CJK 1227
 
0.7%
None 533
 
0.3%
Cyrillic 242
 
0.1%
Hiragana 115
 
0.1%
Katakana 60
 
< 0.1%
CJK Compat Ideographs 37
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39073
48.5%
; 5349
 
6.6%
e 2510
 
3.1%
a 2302
 
2.9%
i 1949
 
2.4%
l 1928
 
2.4%
r 1872
 
2.3%
t 1798
 
2.2%
y 1784
 
2.2%
n 1630
 
2.0%
Other values (69) 20350
25.3%
Hangul
ValueCountFrequency (%)
6065
 
6.7%
5660
 
6.2%
5240
 
5.8%
3158
 
3.5%
3012
 
3.3%
2615
 
2.9%
2493
 
2.7%
2195
 
2.4%
1415
 
1.6%
1326
 
1.5%
Other values (911) 57785
63.5%
None
ValueCountFrequency (%)
· 512
96.1%
6
 
1.1%
6
 
1.1%
3
 
0.6%
2
 
0.4%
2
 
0.4%
1
 
0.2%
1
 
0.2%
CJK
ValueCountFrequency (%)
94
 
7.7%
55
 
4.5%
26
 
2.1%
25
 
2.0%
19
 
1.5%
18
 
1.5%
12
 
1.0%
11
 
0.9%
11
 
0.9%
11
 
0.9%
Other values (465) 945
77.0%
Cyrillic
ValueCountFrequency (%)
а 24
 
9.9%
н 20
 
8.3%
г 16
 
6.6%
э 16
 
6.6%
у 15
 
6.2%
л 15
 
6.2%
о 15
 
6.2%
и 14
 
5.8%
р 14
 
5.8%
ч 11
 
4.5%
Other values (31) 82
33.9%
CJK Compat Ideographs
ValueCountFrequency (%)
23
62.2%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
1
 
2.7%
1
 
2.7%
1
 
2.7%
1
 
2.7%
1
 
2.7%
Hiragana
ValueCountFrequency (%)
8
 
7.0%
8
 
7.0%
7
 
6.1%
7
 
6.1%
6
 
5.2%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
Other values (26) 54
47.0%
Katakana
ValueCountFrequency (%)
4
 
6.7%
3
 
5.0%
3
 
5.0%
3
 
5.0%
3
 
5.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%
2
 
3.3%
2
 
3.3%
Other values (26) 33
55.0%
Enclosed Alphanum
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct2733
Distinct (%)27.4%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:01:46.607125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length32
Mean length4.9615654
Min length1

Characters and Unicode

Total characters49571
Distinct characters965
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1397 ?
Unique (%)14.0%

Sample

1st row랜덤하우스
2nd row다산북스
3rd row시공주니어
4th row에이콘
5th row아이세움
ValueCountFrequency (%)
books 187
 
1.7%
문학동네 169
 
1.5%
창비 125
 
1.1%
비룡소 107
 
1.0%
주니어김영사 81
 
0.7%
사계절 79
 
0.7%
21세기북스 74
 
0.7%
67
 
0.6%
민음사 67
 
0.6%
시공주니어 67
 
0.6%
Other values (2739) 9893
90.6%
2023-12-11T08:01:47.066119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1484
 
3.0%
o 1291
 
2.6%
1220
 
2.5%
925
 
1.9%
i 825
 
1.7%
823
 
1.7%
s 819
 
1.7%
817
 
1.6%
786
 
1.6%
r 774
 
1.6%
Other values (955) 39807
80.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35634
71.9%
Lowercase Letter 9937
 
20.0%
Uppercase Letter 2145
 
4.3%
Space Separator 925
 
1.9%
Other Punctuation 667
 
1.3%
Decimal Number 212
 
0.4%
Dash Punctuation 22
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1484
 
4.2%
1220
 
3.4%
823
 
2.3%
817
 
2.3%
786
 
2.2%
753
 
2.1%
632
 
1.8%
591
 
1.7%
547
 
1.5%
506
 
1.4%
Other values (858) 27475
77.1%
Lowercase Letter
ValueCountFrequency (%)
o 1291
13.0%
i 825
 
8.3%
s 819
 
8.2%
r 774
 
7.8%
e 740
 
7.4%
a 718
 
7.2%
l 654
 
6.6%
n 622
 
6.3%
t 457
 
4.6%
h 385
 
3.9%
Other values (29) 2652
26.7%
Uppercase Letter
ValueCountFrequency (%)
B 318
14.8%
S 273
12.7%
P 215
10.0%
H 177
 
8.3%
C 158
 
7.4%
M 156
 
7.3%
D 106
 
4.9%
W 83
 
3.9%
K 75
 
3.5%
R 74
 
3.4%
Other values (20) 510
23.8%
Other Punctuation
ValueCountFrequency (%)
? 494
74.1%
& 78
 
11.7%
' 35
 
5.2%
. 22
 
3.3%
12
 
1.8%
· 8
 
1.2%
, 6
 
0.9%
/ 5
 
0.7%
: 4
 
0.6%
@ 1
 
0.1%
Other values (2) 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 101
47.6%
1 98
46.2%
0 6
 
2.8%
3 2
 
0.9%
6 1
 
0.5%
1
 
0.5%
1
 
0.5%
4 1
 
0.5%
9 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 10
71.4%
] 4
 
28.6%
Open Punctuation
ValueCountFrequency (%)
( 10
71.4%
[ 4
 
28.6%
Space Separator
ValueCountFrequency (%)
925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34580
69.8%
Latin 12043
 
24.3%
Common 1855
 
3.7%
Han 1031
 
2.1%
Cyrillic 39
 
0.1%
Katakana 23
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1484
 
4.3%
1220
 
3.5%
823
 
2.4%
817
 
2.4%
786
 
2.3%
753
 
2.2%
632
 
1.8%
591
 
1.7%
547
 
1.6%
506
 
1.5%
Other values (596) 26421
76.4%
Han
ValueCountFrequency (%)
123
 
11.9%
63
 
6.1%
62
 
6.0%
51
 
4.9%
27
 
2.6%
25
 
2.4%
23
 
2.2%
20
 
1.9%
18
 
1.7%
12
 
1.2%
Other values (238) 607
58.9%
Latin
ValueCountFrequency (%)
o 1291
 
10.7%
i 825
 
6.9%
s 819
 
6.8%
r 774
 
6.4%
e 740
 
6.1%
a 718
 
6.0%
l 654
 
5.4%
n 622
 
5.2%
t 457
 
3.8%
h 385
 
3.2%
Other values (41) 4758
39.5%
Common
ValueCountFrequency (%)
925
49.9%
? 494
26.6%
2 101
 
5.4%
1 98
 
5.3%
& 78
 
4.2%
' 35
 
1.9%
. 22
 
1.2%
- 22
 
1.2%
12
 
0.6%
) 10
 
0.5%
Other values (18) 58
 
3.1%
Cyrillic
ValueCountFrequency (%)
н 6
15.4%
а 6
15.4%
х 4
10.3%
о 3
 
7.7%
и 3
 
7.7%
Э 2
 
5.1%
э 2
 
5.1%
г 2
 
5.1%
З 2
 
5.1%
й 1
 
2.6%
Other values (8) 8
20.5%
Katakana
ValueCountFrequency (%)
3
13.0%
3
13.0%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (4) 4
17.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34580
69.8%
ASCII 13871
28.0%
CJK 1027
 
2.1%
Cyrillic 39
 
0.1%
None 27
 
0.1%
Katakana 23
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1484
 
4.3%
1220
 
3.5%
823
 
2.4%
817
 
2.4%
786
 
2.3%
753
 
2.2%
632
 
1.8%
591
 
1.7%
547
 
1.6%
506
 
1.5%
Other values (596) 26421
76.4%
ASCII
ValueCountFrequency (%)
o 1291
 
9.3%
925
 
6.7%
i 825
 
5.9%
s 819
 
5.9%
r 774
 
5.6%
e 740
 
5.3%
a 718
 
5.2%
l 654
 
4.7%
n 622
 
4.5%
? 494
 
3.6%
Other values (63) 6009
43.3%
CJK
ValueCountFrequency (%)
123
 
12.0%
63
 
6.1%
62
 
6.0%
51
 
5.0%
27
 
2.6%
25
 
2.4%
23
 
2.2%
20
 
1.9%
18
 
1.8%
12
 
1.2%
Other values (235) 603
58.7%
None
ValueCountFrequency (%)
12
44.4%
· 8
29.6%
đ 4
 
14.8%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Cyrillic
ValueCountFrequency (%)
н 6
15.4%
а 6
15.4%
х 4
10.3%
о 3
 
7.7%
и 3
 
7.7%
Э 2
 
5.1%
э 2
 
5.1%
г 2
 
5.1%
З 2
 
5.1%
й 1
 
2.6%
Other values (8) 8
20.5%
Katakana
ValueCountFrequency (%)
3
13.0%
3
13.0%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
2
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (4) 4
17.4%
CJK Compat Ideographs
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Distinct78
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T08:01:47.266805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.0175018
Min length3

Characters and Unicode

Total characters40171
Distinct characters22
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.3%

Sample

1st row2007
2nd row2011
3rd row2009
4th row2010
5th row2001
ValueCountFrequency (%)
2010 3369
33.7%
2009 1968
19.7%
2008 1133
 
11.3%
2007 706
 
7.1%
2006 544
 
5.4%
2011 435
 
4.3%
2005 245
 
2.5%
2004 189
 
1.9%
1998 148
 
1.5%
2003 114
 
1.1%
Other values (59) 1149
 
11.5%
2023-12-11T08:01:47.598135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17974
44.7%
2 9533
23.7%
1 5423
 
13.5%
9 3254
 
8.1%
8 1481
 
3.7%
7 816
 
2.0%
6 645
 
1.6%
5 340
 
0.8%
4 329
 
0.8%
3 247
 
0.6%
Other values (12) 129
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40042
99.7%
Close Punctuation 51
 
0.1%
Open Punctuation 51
 
0.1%
Dash Punctuation 14
 
< 0.1%
Other Letter 8
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17974
44.9%
2 9533
23.8%
1 5423
 
13.5%
9 3254
 
8.1%
8 1481
 
3.7%
7 816
 
2.0%
6 645
 
1.6%
5 340
 
0.8%
4 329
 
0.8%
3 247
 
0.6%
Other Letter
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Close Punctuation
ValueCountFrequency (%)
] 51
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40163
> 99.9%
Hangul 8
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17974
44.8%
2 9533
23.7%
1 5423
 
13.5%
9 3254
 
8.1%
8 1481
 
3.7%
7 816
 
2.0%
6 645
 
1.6%
5 340
 
0.8%
4 329
 
0.8%
3 247
 
0.6%
Other values (5) 121
 
0.3%
Hangul
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40163
> 99.9%
Hangul 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17974
44.8%
2 9533
23.7%
1 5423
 
13.5%
9 3254
 
8.1%
8 1481
 
3.7%
7 816
 
2.0%
6 645
 
1.6%
5 340
 
0.8%
4 329
 
0.8%
3 247
 
0.6%
Other values (5) 121
 
0.3%
Hangul
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Distinct1113
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:01:47.923353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length29
Mean length28.104
Min length21

Characters and Unicode

Total characters281040
Distinct characters32
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

Unique1105 ?
Unique (%)11.1%

Sample

1st row201607189 지역상호대차 색인정보 통합DB 구축
2nd row201607189 지역상호대차 색인정보 통합DB 구축
3rd row201607189 지역상호대차 색인정보 통합DB 구축
4th row201607189 지역상호대차 색인정보 통합DB 구축
5th row201607189 지역상호대차 색인정보 통합DB 구축
ValueCountFrequency (%)
201607189 8880
18.6%
색인정보 8880
18.6%
통합db 8880
18.6%
구축 8880
18.6%
지역상호대차 8880
18.6%
동기화 1120
 
2.3%
작업 1120
 
2.3%
20190312165803 3
 
< 0.1%
20190312165804 2
 
< 0.1%
20190315115152 2
 
< 0.1%
Other values (1109) 1113
 
2.3%
2023-12-11T08:01:48.448181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37760
 
13.4%
0 21973
 
7.8%
1 20792
 
7.4%
2 11481
 
4.1%
9 9813
 
3.5%
6 9631
 
3.4%
7 9327
 
3.3%
8 9219
 
3.3%
8880
 
3.2%
8880
 
3.2%
Other values (22) 133284
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129920
46.2%
Decimal Number 95600
34.0%
Space Separator 37760
 
13.4%
Uppercase Letter 17760
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
Other values (9) 41120
31.7%
Decimal Number
ValueCountFrequency (%)
0 21973
23.0%
1 20792
21.7%
2 11481
12.0%
9 9813
10.3%
6 9631
10.1%
7 9327
9.8%
8 9219
9.6%
3 1744
 
1.8%
4 882
 
0.9%
5 738
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
B 8880
50.0%
D 8880
50.0%
Space Separator
ValueCountFrequency (%)
37760
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 133360
47.5%
Hangul 129920
46.2%
Latin 17760
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
Other values (9) 41120
31.7%
Common
ValueCountFrequency (%)
37760
28.3%
0 21973
16.5%
1 20792
15.6%
2 11481
 
8.6%
9 9813
 
7.4%
6 9631
 
7.2%
7 9327
 
7.0%
8 9219
 
6.9%
3 1744
 
1.3%
4 882
 
0.7%
Latin
ValueCountFrequency (%)
B 8880
50.0%
D 8880
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151120
53.8%
Hangul 129920
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37760
25.0%
0 21973
14.5%
1 20792
13.8%
2 11481
 
7.6%
9 9813
 
6.5%
6 9631
 
6.4%
7 9327
 
6.2%
8 9219
 
6.1%
B 8880
 
5.9%
D 8880
 
5.9%
Other values (3) 3364
 
2.2%
Hangul
ValueCountFrequency (%)
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
8880
 
6.8%
Other values (9) 41120
31.7%
Distinct3296
Distinct (%)33.0%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:01:48.779924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length29
Mean length26.331999
Min length21

Characters and Unicode

Total characters263162
Distinct characters32
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

Unique3268 ?
Unique (%)32.7%

Sample

1st row20200227145820 동기화 작업
2nd row20160917170744 동기화 작업
3rd row20190612181647 동기화 작업
4th row201607190 지역상호대차 색인정보 통합DB 구축
5th row20200910102021 동기화 작업
ValueCountFrequency (%)
201607190 6661
15.4%
통합db 6661
15.4%
구축 6661
15.4%
지역상호대차 6661
15.4%
색인정보 6661
15.4%
동기화 3333
7.7%
작업 3333
7.7%
20190307172155 7
 
< 0.1%
20190328144045 5
 
< 0.1%
20190315140801 4
 
< 0.1%
Other values (3292) 3317
7.7%
2023-12-11T08:01:49.296051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33310
 
12.7%
0 33061
 
12.6%
1 21249
 
8.1%
2 15750
 
6.0%
6 8875
 
3.4%
7 8606
 
3.3%
9 8594
 
3.3%
6661
 
2.5%
6661
 
2.5%
6661
 
2.5%
Other values (22) 113734
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109919
41.8%
Decimal Number 106611
40.5%
Space Separator 33310
 
12.7%
Uppercase Letter 13322
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
Other values (9) 43309
39.4%
Decimal Number
ValueCountFrequency (%)
0 33061
31.0%
1 21249
19.9%
2 15750
14.8%
6 8875
 
8.3%
7 8606
 
8.1%
9 8594
 
8.1%
3 3334
 
3.1%
4 3026
 
2.8%
5 2342
 
2.2%
8 1774
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
B 6661
50.0%
D 6661
50.0%
Space Separator
ValueCountFrequency (%)
33310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139921
53.2%
Hangul 109919
41.8%
Latin 13322
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
Other values (9) 43309
39.4%
Common
ValueCountFrequency (%)
33310
23.8%
0 33061
23.6%
1 21249
15.2%
2 15750
11.3%
6 8875
 
6.3%
7 8606
 
6.2%
9 8594
 
6.1%
3 3334
 
2.4%
4 3026
 
2.2%
5 2342
 
1.7%
Latin
ValueCountFrequency (%)
B 6661
50.0%
D 6661
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153243
58.2%
Hangul 109919
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33310
21.7%
0 33061
21.6%
1 21249
13.9%
2 15750
10.3%
6 8875
 
5.8%
7 8606
 
5.6%
9 8594
 
5.6%
B 6661
 
4.3%
D 6661
 
4.3%
3 3334
 
2.2%
Other values (3) 7142
 
4.7%
Hangul
ValueCountFrequency (%)
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
6661
 
6.1%
Other values (9) 43309
39.4%

Interactions

2023-12-11T08:01:38.106835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:37.929953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:38.188404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:38.021148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:01:49.425084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관부호종키표시용발행년정보
도서관부호1.0000.6190.956
종키0.6191.0000.866
표시용발행년정보0.9560.8661.000
2023-12-11T08:01:49.550516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관부호종키
도서관부호1.000-0.266
종키-0.2661.000

Missing values

2023-12-11T08:01:38.311591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:01:38.488797image/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.
2023-12-11T08:01:38.697763image/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

도서관부호종키색인용도서명색인용키워드색인용저자색인용발행자색인용권서명색인용ISBN표시용서명정보표시용저자정보표시용발행자정보표시용발행년정보최초작업마지막작업
71114812270005515뉴욕아트앤더시티 NEWYORKARTANDTHECITY 뉴욕거리에서현대미술을만나다 컬쳐트래블 CULTURETRAVEL뉴욕여행 미술여행 현대미술 뉴욕미술여행양은희랜덤하우스<NA>9.79E+12뉴욕, 아트 앤 더 시티 = New York art and the city : 뉴욕 거리에서 현대미술을 만나다양은희 지음랜덤하우스2007201607189 지역상호대차 색인정보 통합DB 구축20200227145820 동기화 작업
2579114812270349772골프천재가된홍대리 골프천재가 된홍대리 된 홍대리골프천재 홍대리 독학 3개월 만 보기 플레이어 거듭난 홍 대리 비밀 골프채 번 못 잡아본 10 머리 올리김헌다산북스 다산라이프<NA>9788963702872세트 9788963702889골프천재가 된 홍대리. 2 : 독학으로 3개월 만에 보기 플레이어로 거듭난 홍 대리의 비밀김헌 지음다산북스2011201607189 지역상호대차 색인정보 통합DB 구축20160917170744 동기화 작업
601214812270031785나는고양이라고 나는 고양이라고 おれはねこだぜ 생각하는숲 생각하는 숲고양이 일본동화 창작동화 일본문학좌야양자 사노요코 이선아 사노요코글그림시공주니어<NA>9.79E+12나는 고양이라고!사노 요코 글·그림 ; 이선아 옮김시공주니어2009201607189 지역상호대차 색인정보 통합DB 구축20190612181647 동기화 작업
2237814812270164933신뢰소셜미디어시대의성공키워드 고객의마음을여는신뢰에이전트뉴미디어마케팅의선봉에서다 TRUSTAGENTSUSINGTHEWEBTOBUILDINFLUENCEIMPROVEREPUTATIONANDEARNTRUST 에이콘소셜미디어시리즈인터넷마케팅 인터넷커뮤니티 신뢰 뉴미디어 소셜미디어브로건크리스 BROGANCHRIS SMITHJULIEN 스미스줄리엔 INMD 크리스브로건에이콘<NA>9.79E+12신뢰! 소셜미디어 시대의 성공 키워드 : 고객의 마음을 여는 신뢰 에이전트, 뉴미디어 마케팅의 선봉에 서다줄리엔 스미스 [공]지음 ; inmD 옮김 / 크리스 브로건에이콘2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
2902814812270453936딱지딱지코딱지 아이세움EXCITINGBOOKS 생활팬터지딱지 코딱지 아이세움 EXCITING BOOKS 생활 팬터지 익사이팅 북스조성자 오영아아이세움<NA>8937811057딱지, 딱지, 코딱지조성자 글 ; 오영아 그림아이세움2001201607189 지역상호대차 색인정보 통합DB 구축20200910102021 동기화 작업
2012414812270136585그날은정말쇼비뇽블랑같은오후였어 신리산문집연극 드라마틱 와인 쇼비뇽블랑 오후 43가지 인생레시피신리 이희숙 신리지음랜덤하우스<NA>9.79E+12그날은 정말 쇼비뇽 블랑같은 오후 였어 : 신리 산문집이희숙 그림 / 신리 지음랜덤하우스2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
943914812270054713한일전문용어사전7500 KOREANJAPANESETERMINOLOGY 한일전문용어사전칠천오백한일사전 전문용어 단어 어휘 전문용어사전박혜경시사일본어사<NA>9.79E+12한일 전문용어사전 7500 = Korean-Japanese Terminology박혜경 엮음시사일본어사2009201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
2167814812270147139문명과야만의블록버스터 영화로보는제국의역사문명 야만 블록버스터 영화 제국 역사김창진 김창진지음자리<NA>9.79E+12문명과 야만의 블록버스터 : 영화로 보는 제국의 역사김창진 지음자리2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
2228314812270160666토익급상승ACTUALTEST3SET 토익실전모의고사3세트수록 텝스급상승액츄얼테스트쓰리세트 대한민국공식토익채널시리즈 토익채널시리즈텝스 급상승 ACTUAL TEST오해원반석출판사<NA>9.79E+12토익 급상승 actual test 3 set. 2오해원 저반석출판사2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
2667714812270384128안달루시아의낙천주의자 DRIVINGOVERLEMONS 눌와의창안달루시아 낙천주의자 눌와 창 DRIVING OVER LEMONS스튜어트크리스 신소희 STEWARTCHRIS 크리스스튜어트눌와<NA>9.79E+12안달루시아의 낙천주의자크리스 스튜어트 지음, 신소희 옮김눌와2008201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
도서관부호종키색인용도서명색인용키워드색인용저자색인용발행자색인용권서명색인용ISBN표시용서명정보표시용저자정보표시용발행자정보표시용발행년정보최초작업마지막작업
426114812270015660달나라에사는여인 밀레나아구스장편소설 MALDIPIETRE달나라 여인 이탈리아문학 장편소설아구스밀레나 이승수 AGUSMILENA 밀레나아구스문학세계사<NA>9.79E+12달나라에 사는 여인 : 밀레나 아구스 장편소설밀레나 아구스 지음 ; 이승수 옮김문학세계사2009201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
359514812270026966꼬마마법사의뒤죽박죽여름여행 뒤죽박죽여름여행 VERHEXTESOMMERFERIEN 꼬마마법사시리즈꼬마마법사 뒤죽박죽 여름여행 독일동화헤어촉아네테 가르베어트유타 홍이정 HERZOGANNETTE GARBERTJUTTA 아네테헤어촉아리솔<NA>9.79E+12(꼬마마법사의)뒤죽박죽 여름 여행아네테 헤어촉 지음 ; 유타 가르베어트 그림 ; 홍이정 옮김아리솔200620190306115407 동기화 작업20190308040855 동기화 작업
30432148041100001804사랑이머무르는길에는슬픈노래도들린다 세훈에세이선집사랑 머무르 길 노래 들린다한국현대시인협회 한국현대시인협회편세훈<NA><NA>사랑이 머무르는 길에는 슬픈 노래도 들린다한국현대시인협회 편세훈1995201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
2497114812270180078역사를바꾼운명적만남 한국편 김유신과김춘추에서김대중과김영삼까지역사 운명 만남 한국역사 한국사함규진 함규진지음미래인<NA>9.79E+12역사를 바꾼 운명적 만남 : 한국편함규진 지음미래인2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
946314812270056394영미시의길잡이 HANDBOOKFORTHESTUDYOFPOETRY영미시 길잡이 영미문학론 시문학론알텐번드린 루이스레즐리L 윤준 LEWISLESLIELISLE ALTENBERNDLYNN 린알텐번드동인<NA>9.79E+12영미시의 길잡이린 알텐번드, 레즐리 L. 루이스 [공]지음 ; 윤준 옮김동인2007201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
796114812270042181옛날에는돼지들이아주똑똑했어요 옛날에는 돼지들이아주똑똑했어요 돼지들이 아주똑똑했어요 아주 똑똑했어요 느림보그림책 느림보 그림책옛날 돼지 그림책 똑똑이민희 이민희글그림느림보<NA>9.79E+12옛날에는 돼지들이 아주 똑똑했어요이민희 글·그림느림보200820200310233435 동기화 작업20200610104836 동기화 작업
30327148041100006852인간업보인간업보박삼중 박삼중저현대문예사<NA><NA>인간업보박삼중 [저]현대문예사1990201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
687714812270045432지금우리가누리는자유 통치론 나의고전읽기자유 통치론 사회계약론 고전읽기로크존 신준식 박치현 존로크원저아이세움<NA>9.79E+12지금 우리가 누리는 자유 : 통치론존 로크 원저 ; 박치현 지음 ; 신준식 그림아이세움2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축
20414812270002408돌의내력 돌의 내력 오쿠이즈미히카루장편소설 오쿠이즈미 히카루장편소설 히카루 장편소설 석の내력 문학동네세계문학 문학동네 세계문학내력 일본문학 일본소설 장편소설오천광 오쿠이즈미히카루 박태규문학동네<NA>9.79E+12돌의 내력 : 오쿠이즈미 히카루 장편소설오쿠이즈미 히카루 지음 ; 박태규 옮김문학동네2007201607189 지역상호대차 색인정보 통합DB 구축20170803173251 동기화 작업
859614812270034962라일락피면 라일락 피면 10대의선택에관한여덞편의이야기 10대의 선택에관한여덞편의이야기 선택에 관한여덞편의이야기 관한 여덞편의이야기 여덞 편의이야기 편의 이야기 창비청소년문학 영희가O형을선택한이유 영희가 O형을선택한이유 O형을 선택한이유 선택한 이유 내가그린히말라야시다그림 내가 그린히말라야시다그림 그린 히말라야시다그림 히말라야시다 그림 너와함께 너와 함께 굿바이메리개리스마스 굿바이 메리개리스마스 메리 개리스마스 헤바HEBA 쉰아홉개의이빨 쉰아홉 개의이빨 개의 이빨 널위해준비했어 널 위해준비했어 위해 준비했어라일락 선택 이야기 소설 단편소설 한국문학청소년 공선옥 방미진 성석제 오수연 오진원 조은이 최인석 표명희 원종찬 공선옥외지음창비<NA>9.79E+12라일락 피면 : 10대의 선택에 관한 여덞 편의 이야기공선옥 외 지음 ; 원종찬 엮음창비2010201607189 지역상호대차 색인정보 통합DB 구축201607190 지역상호대차 색인정보 통합DB 구축