Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells77228
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory212.0 B

Variable types

Text10
DateTime5
Numeric2
Categorical6
Boolean2

Dataset

Description한국동서발전의 전자도서관 현황 정보입니다. 전자도서관 현황은 바코드, 책이름, 도서시리즈, 저자 등의 항목으로 구성됩니다.
Author한국동서발전(주)
URLhttps://www.data.go.kr/data/15064438/fileData.do

Alerts

최고 경영자 추천 유무 is highly imbalanced (92.2%)Imbalance
평점 is highly imbalanced (99.7%)Imbalance
대여상태 is highly imbalanced (97.5%)Imbalance
연장횟수 is highly imbalanced (96.0%)Imbalance
공감_여부 is highly imbalanced (99.5%)Imbalance
처리사유 is highly imbalanced (96.8%)Imbalance
신청상태값 is highly imbalanced (81.9%)Imbalance
도서시리즈명 has 8745 (87.5%) missing valuesMissing
간단줄거리 has 575 (5.8%) missing valuesMissing
책이미지 has 495 (5.0%) missing valuesMissing
리뷰제목 has 9997 (> 99.9%) missing valuesMissing
리뷰내용 has 9998 (> 99.9%) missing valuesMissing
대여시작일 has 9916 (99.2%) missing valuesMissing
대여종료일 has 9916 (99.2%) missing valuesMissing
서평 has 8791 (87.9%) missing valuesMissing
소모임활동인원수 has 8791 (87.9%) missing valuesMissing
삭제일 has 9967 (99.7%) missing valuesMissing
바코드 has unique valuesUnique
가격 has 415 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-12 17:48:10.638709
Analysis finished2023-12-12 17:48:15.637384
Duration5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

바코드
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:48:15.996400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.5211
Min length3

Characters and Unicode

Total characters75211
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowBC001874
2nd rowDH40037
3rd rowDH190827
4th rowDH170535
5th rowBC80020
ValueCountFrequency (%)
bc001874 1
 
< 0.1%
is001159 1
 
< 0.1%
dh70044 1
 
< 0.1%
bc60052 1
 
< 0.1%
is000939 1
 
< 0.1%
is000205 1
 
< 0.1%
us000401 1
 
< 0.1%
is000530 1
 
< 0.1%
bc20007 1
 
< 0.1%
us40113 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T02:48:16.643428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22096
29.4%
1 6867
 
9.1%
2 5128
 
6.8%
D 3954
 
5.3%
3 3672
 
4.9%
B 2937
 
3.9%
9 2931
 
3.9%
C 2903
 
3.9%
6 2864
 
3.8%
4 2840
 
3.8%
Other values (20) 19019
25.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54283
72.2%
Uppercase Letter 20918
 
27.8%
Lowercase Letter 9
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 3954
18.9%
B 2937
14.0%
C 2903
13.9%
H 2781
13.3%
S 2547
12.2%
J 1829
8.7%
U 1588
7.6%
I 803
 
3.8%
K 716
 
3.4%
N 609
 
2.9%
Other values (4) 251
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 22096
40.7%
1 6867
 
12.7%
2 5128
 
9.4%
3 3672
 
6.8%
9 2931
 
5.4%
6 2864
 
5.3%
4 2840
 
5.2%
5 2710
 
5.0%
7 2661
 
4.9%
8 2514
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
b 3
33.3%
c 3
33.3%
a 1
 
11.1%
d 1
 
11.1%
h 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54284
72.2%
Latin 20927
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 3954
18.9%
B 2937
14.0%
C 2903
13.9%
H 2781
13.3%
S 2547
12.2%
J 1829
8.7%
U 1588
7.6%
I 803
 
3.8%
K 716
 
3.4%
N 609
 
2.9%
Other values (9) 260
 
1.2%
Common
ValueCountFrequency (%)
0 22096
40.7%
1 6867
 
12.7%
2 5128
 
9.4%
3 3672
 
6.8%
9 2931
 
5.4%
6 2864
 
5.3%
4 2840
 
5.2%
5 2710
 
5.0%
7 2661
 
4.9%
8 2514
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22096
29.4%
1 6867
 
9.1%
2 5128
 
6.8%
D 3954
 
5.3%
3 3672
 
4.9%
B 2937
 
3.9%
9 2931
 
3.9%
C 2903
 
3.9%
6 2864
 
3.8%
4 2840
 
3.8%
Other values (20) 19019
25.3%
Distinct7810
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:48:17.197490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length72
Mean length23.8973
Min length1

Characters and Unicode

Total characters238973
Distinct characters1338
Distinct categories16 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6455 ?
Unique (%)64.5%

Sample

1st row마법천자문 37 (펼쳐라! 펼 전)
2nd row교과서가 깜빡한 아시아 역사 3 (그린비 교양만화 깜빡 역사이제 해방이다! 아시아 독립을 향해)
3rd row바닷가 작업실에서는 전혀 다른 시간이 흐른다 (슈필라움의 심리학)
4th row사장의 길
5th row내 인생을 바꾸는 호주에서 홀로서기 (SURVIVAL ENGLISH)
ValueCountFrequency (%)
1 487
 
0.8%
2 379
 
0.6%
이야기 359
 
0.6%
장편소설 343
 
0.6%
why 307
 
0.5%
위한 301
 
0.5%
나는 209
 
0.4%
206
 
0.3%
어떻게 205
 
0.3%
3 190
 
0.3%
Other values (18247) 56329
95.0%
2023-12-13T02:48:18.026672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49403
 
20.7%
) 6509
 
2.7%
( 6509
 
2.7%
5295
 
2.2%
4112
 
1.7%
3583
 
1.5%
2420
 
1.0%
2419
 
1.0%
2408
 
1.0%
2387
 
1.0%
Other values (1328) 153928
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157491
65.9%
Space Separator 49403
 
20.7%
Decimal Number 7782
 
3.3%
Open Punctuation 6517
 
2.7%
Close Punctuation 6516
 
2.7%
Lowercase Letter 5818
 
2.4%
Uppercase Letter 2681
 
1.1%
Other Punctuation 2455
 
1.0%
Math Symbol 125
 
0.1%
Dash Punctuation 112
 
< 0.1%
Other values (6) 73
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5295
 
3.4%
4112
 
2.6%
3583
 
2.3%
2420
 
1.5%
2419
 
1.5%
2408
 
1.5%
2387
 
1.5%
2349
 
1.5%
2105
 
1.3%
2105
 
1.3%
Other values (1226) 128308
81.5%
Lowercase Letter
ValueCountFrequency (%)
e 770
13.2%
h 515
 
8.9%
o 506
 
8.7%
i 451
 
7.8%
a 404
 
6.9%
y 395
 
6.8%
n 379
 
6.5%
r 374
 
6.4%
t 374
 
6.4%
s 296
 
5.1%
Other values (16) 1354
23.3%
Uppercase Letter
ValueCountFrequency (%)
W 377
 
14.1%
S 219
 
8.2%
T 214
 
8.0%
E 166
 
6.2%
O 141
 
5.3%
A 133
 
5.0%
C 132
 
4.9%
P 131
 
4.9%
L 111
 
4.1%
B 111
 
4.1%
Other values (16) 946
35.3%
Other Punctuation
ValueCountFrequency (%)
. 989
40.3%
, 453
18.5%
? 354
 
14.4%
! 279
 
11.4%
: 137
 
5.6%
/ 95
 
3.9%
% 56
 
2.3%
· 39
 
1.6%
& 33
 
1.3%
# 6
 
0.2%
Other values (6) 14
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 2026
26.0%
0 1331
17.1%
2 1325
17.0%
3 716
 
9.2%
5 555
 
7.1%
4 525
 
6.7%
9 349
 
4.5%
7 326
 
4.2%
6 317
 
4.1%
8 312
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 75
60.0%
+ 28
 
22.4%
> 10
 
8.0%
< 10
 
8.0%
× 1
 
0.8%
= 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 6509
99.9%
] 4
 
0.1%
2
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 6509
99.9%
[ 4
 
0.1%
3
 
< 0.1%
1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
Space Separator
ValueCountFrequency (%)
49403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Final Punctuation
ValueCountFrequency (%)
30
100.0%
Initial Punctuation
ValueCountFrequency (%)
23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157406
65.9%
Common 72976
30.5%
Latin 8506
 
3.6%
Hiragana 39
 
< 0.1%
Han 37
 
< 0.1%
Katakana 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5295
 
3.4%
4112
 
2.6%
3583
 
2.3%
2420
 
1.5%
2419
 
1.5%
2408
 
1.5%
2387
 
1.5%
2349
 
1.5%
2105
 
1.3%
2105
 
1.3%
Other values (1175) 128223
81.5%
Latin
ValueCountFrequency (%)
e 770
 
9.1%
h 515
 
6.1%
o 506
 
5.9%
i 451
 
5.3%
a 404
 
4.7%
y 395
 
4.6%
n 379
 
4.5%
W 377
 
4.4%
r 374
 
4.4%
t 374
 
4.4%
Other values (45) 3961
46.6%
Common
ValueCountFrequency (%)
49403
67.7%
) 6509
 
8.9%
( 6509
 
8.9%
1 2026
 
2.8%
0 1331
 
1.8%
2 1325
 
1.8%
. 989
 
1.4%
3 716
 
1.0%
5 555
 
0.8%
4 525
 
0.7%
Other values (37) 3088
 
4.2%
Hiragana
ValueCountFrequency (%)
8
20.5%
6
15.4%
3
 
7.7%
2
 
5.1%
2
 
5.1%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (12) 12
30.8%
Han
ValueCountFrequency (%)
4
 
10.8%
4
 
10.8%
3
 
8.1%
3
 
8.1%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
Other values (10) 11
29.7%
Katakana
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157399
65.9%
ASCII 81368
34.0%
Punctuation 57
 
< 0.1%
None 47
 
< 0.1%
Hiragana 39
 
< 0.1%
CJK 37
 
< 0.1%
Katakana 9
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Number Forms 7
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49403
60.7%
) 6509
 
8.0%
( 6509
 
8.0%
1 2026
 
2.5%
0 1331
 
1.6%
2 1325
 
1.6%
. 989
 
1.2%
e 770
 
0.9%
3 716
 
0.9%
5 555
 
0.7%
Other values (78) 11235
 
13.8%
Hangul
ValueCountFrequency (%)
5295
 
3.4%
4112
 
2.6%
3583
 
2.3%
2420
 
1.5%
2419
 
1.5%
2408
 
1.5%
2387
 
1.5%
2349
 
1.5%
2105
 
1.3%
2105
 
1.3%
Other values (1173) 128216
81.5%
None
ValueCountFrequency (%)
· 39
83.0%
3
 
6.4%
2
 
4.3%
× 1
 
2.1%
1
 
2.1%
1
 
2.1%
Punctuation
ValueCountFrequency (%)
30
52.6%
23
40.4%
2
 
3.5%
2
 
3.5%
Hiragana
ValueCountFrequency (%)
8
20.5%
6
15.4%
3
 
7.7%
2
 
5.1%
2
 
5.1%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (12) 12
30.8%
Compat Jamo
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
CJK
ValueCountFrequency (%)
4
 
10.8%
4
 
10.8%
3
 
8.1%
3
 
8.1%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
2
 
5.4%
Other values (10) 11
29.7%
Number Forms
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
Katakana
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

도서시리즈명
Text

MISSING 

Distinct207
Distinct (%)16.5%
Missing8745
Missing (%)87.5%
Memory size156.2 KiB
2023-12-13T02:48:18.447992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.5784861
Min length2

Characters and Unicode

Total characters9511
Distinct characters427
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)4.8%

Sample

1st row역사똑똑 조선왕조
2nd row나의 문화유산답사기
3rd row로마인 이야기
4th row심플하게 산다
5th row퇴근 길 인문학 수업
ValueCountFrequency (%)
만화 90
 
3.4%
토지 82
 
3.1%
이야기 77
 
2.9%
박시백의 67
 
2.6%
조선왕조실록 67
 
2.6%
나의 59
 
2.2%
문화유산답사기 54
 
2.1%
로마인 45
 
1.7%
why 44
 
1.7%
태백산맥 43
 
1.6%
Other values (428) 1996
76.1%
2023-12-13T02:48:19.076306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1373
 
14.4%
247
 
2.6%
221
 
2.3%
221
 
2.3%
176
 
1.9%
174
 
1.8%
174
 
1.8%
174
 
1.8%
159
 
1.7%
150
 
1.6%
Other values (417) 6442
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7582
79.7%
Space Separator 1373
 
14.4%
Lowercase Letter 244
 
2.6%
Decimal Number 181
 
1.9%
Other Punctuation 63
 
0.7%
Uppercase Letter 36
 
0.4%
Dash Punctuation 28
 
0.3%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
247
 
3.3%
221
 
2.9%
221
 
2.9%
176
 
2.3%
174
 
2.3%
174
 
2.3%
174
 
2.3%
159
 
2.1%
150
 
2.0%
128
 
1.7%
Other values (377) 5758
75.9%
Lowercase Letter
ValueCountFrequency (%)
h 48
19.7%
y 44
18.0%
w 44
18.0%
e 19
 
7.8%
p 18
 
7.4%
o 18
 
7.4%
n 15
 
6.1%
t 13
 
5.3%
l 8
 
3.3%
a 4
 
1.6%
Other values (6) 13
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 11
30.6%
C 6
16.7%
Q 5
13.9%
W 3
 
8.3%
S 3
 
8.3%
Z 2
 
5.6%
R 2
 
5.6%
D 2
 
5.6%
U 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
3 60
33.1%
1 52
28.7%
0 34
18.8%
2 21
 
11.6%
4 5
 
2.8%
8 5
 
2.8%
6 4
 
2.2%
Other Punctuation
ValueCountFrequency (%)
? 47
74.6%
! 8
 
12.7%
. 6
 
9.5%
, 1
 
1.6%
· 1
 
1.6%
Space Separator
ValueCountFrequency (%)
1373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7582
79.7%
Common 1649
 
17.3%
Latin 280
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
247
 
3.3%
221
 
2.9%
221
 
2.9%
176
 
2.3%
174
 
2.3%
174
 
2.3%
174
 
2.3%
159
 
2.1%
150
 
2.0%
128
 
1.7%
Other values (377) 5758
75.9%
Latin
ValueCountFrequency (%)
h 48
17.1%
y 44
15.7%
w 44
15.7%
e 19
 
6.8%
p 18
 
6.4%
o 18
 
6.4%
n 15
 
5.4%
t 13
 
4.6%
A 11
 
3.9%
l 8
 
2.9%
Other values (15) 42
15.0%
Common
ValueCountFrequency (%)
1373
83.3%
3 60
 
3.6%
1 52
 
3.2%
? 47
 
2.9%
0 34
 
2.1%
- 28
 
1.7%
2 21
 
1.3%
! 8
 
0.5%
. 6
 
0.4%
4 5
 
0.3%
Other values (5) 15
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7582
79.7%
ASCII 1928
 
20.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1373
71.2%
3 60
 
3.1%
1 52
 
2.7%
h 48
 
2.5%
? 47
 
2.4%
y 44
 
2.3%
w 44
 
2.3%
0 34
 
1.8%
- 28
 
1.5%
2 21
 
1.1%
Other values (29) 177
 
9.2%
Hangul
ValueCountFrequency (%)
247
 
3.3%
221
 
2.9%
221
 
2.9%
176
 
2.3%
174
 
2.3%
174
 
2.3%
174
 
2.3%
159
 
2.1%
150
 
2.0%
128
 
1.7%
Other values (377) 5758
75.9%
None
ValueCountFrequency (%)
· 1
100.0%

저자
Text

Distinct4738
Distinct (%)47.5%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T02:48:19.504005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length61
Mean length5.4903355
Min length1

Characters and Unicode

Total characters54821
Distinct characters822
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3188 ?
Unique (%)31.9%

Sample

1st row올댓스토리|김성재
2nd row유재현
3rd row김정운
4th row서광원
5th row한용석
ValueCountFrequency (%)
조정래 115
 
0.8%
박경리 85
 
0.6%
박시백 72
 
0.5%
64
 
0.4%
야마오카 61
 
0.4%
소하치 61
 
0.4%
베르나르 57
 
0.4%
베르베르 56
 
0.4%
유홍준 56
 
0.4%
시오노 54
 
0.4%
Other values (5956) 14054
95.4%
2023-12-13T02:48:20.324269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4767
 
8.7%
1974
 
3.6%
| 1591
 
2.9%
1361
 
2.5%
1295
 
2.4%
1037
 
1.9%
853
 
1.6%
788
 
1.4%
630
 
1.1%
614
 
1.1%
Other values (812) 39911
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47979
87.5%
Space Separator 4767
 
8.7%
Math Symbol 1593
 
2.9%
Uppercase Letter 204
 
0.4%
Lowercase Letter 118
 
0.2%
Other Punctuation 112
 
0.2%
Decimal Number 23
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1974
 
4.1%
1361
 
2.8%
1295
 
2.7%
1037
 
2.2%
853
 
1.8%
788
 
1.6%
630
 
1.3%
614
 
1.3%
610
 
1.3%
567
 
1.2%
Other values (747) 38250
79.7%
Uppercase Letter
ValueCountFrequency (%)
S 26
12.7%
A 21
10.3%
B 19
 
9.3%
K 18
 
8.8%
T 16
 
7.8%
C 15
 
7.4%
E 14
 
6.9%
M 11
 
5.4%
J 7
 
3.4%
H 7
 
3.4%
Other values (12) 50
24.5%
Lowercase Letter
ValueCountFrequency (%)
e 24
20.3%
i 13
11.0%
o 12
10.2%
a 12
10.2%
l 8
 
6.8%
n 8
 
6.8%
t 6
 
5.1%
u 6
 
5.1%
y 5
 
4.2%
s 4
 
3.4%
Other values (11) 20
16.9%
Decimal Number
ValueCountFrequency (%)
1 7
30.4%
2 5
21.7%
0 4
17.4%
5 2
 
8.7%
8 2
 
8.7%
6 2
 
8.7%
9 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 65
58.0%
/ 39
34.8%
, 6
 
5.4%
1
 
0.9%
& 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
| 1591
99.9%
> 1
 
0.1%
< 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 9
90.0%
1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 9
90.0%
1
 
10.0%
Space Separator
ValueCountFrequency (%)
4767
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47979
87.5%
Common 6520
 
11.9%
Latin 322
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1974
 
4.1%
1361
 
2.8%
1295
 
2.7%
1037
 
2.2%
853
 
1.8%
788
 
1.6%
630
 
1.3%
614
 
1.3%
610
 
1.3%
567
 
1.2%
Other values (747) 38250
79.7%
Latin
ValueCountFrequency (%)
S 26
 
8.1%
e 24
 
7.5%
A 21
 
6.5%
B 19
 
5.9%
K 18
 
5.6%
T 16
 
5.0%
C 15
 
4.7%
E 14
 
4.3%
i 13
 
4.0%
o 12
 
3.7%
Other values (33) 144
44.7%
Common
ValueCountFrequency (%)
4767
73.1%
| 1591
 
24.4%
. 65
 
1.0%
/ 39
 
0.6%
( 9
 
0.1%
) 9
 
0.1%
1 7
 
0.1%
, 6
 
0.1%
2 5
 
0.1%
0 4
 
0.1%
Other values (12) 18
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47979
87.5%
ASCII 6839
 
12.5%
None 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4767
69.7%
| 1591
 
23.3%
. 65
 
1.0%
/ 39
 
0.6%
S 26
 
0.4%
e 24
 
0.4%
A 21
 
0.3%
B 19
 
0.3%
K 18
 
0.3%
T 16
 
0.2%
Other values (52) 253
 
3.7%
Hangul
ValueCountFrequency (%)
1974
 
4.1%
1361
 
2.8%
1295
 
2.7%
1037
 
2.2%
853
 
1.8%
788
 
1.6%
630
 
1.3%
614
 
1.3%
610
 
1.3%
567
 
1.2%
Other values (747) 38250
79.7%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct1528
Distinct (%)15.3%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T02:48:20.776180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length4.2732733
Min length1

Characters and Unicode

Total characters42690
Distinct characters629
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique674 ?
Unique (%)6.7%

Sample

1st row아울북
2nd row그린비
3rd row21세기북스
4th row흐름출판
5th row국민출판사
ValueCountFrequency (%)
예림당 303
 
3.0%
문학동네 274
 
2.7%
김영사 194
 
1.9%
시공사 189
 
1.9%
창비 188
 
1.9%
민음사 184
 
1.8%
위즈덤하우스 174
 
1.7%
한국헤르만헤세 162
 
1.6%
21세기북스 153
 
1.5%
해냄출판사 146
 
1.5%
Other values (1521) 8034
80.3%
2023-12-13T02:48:21.404625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2353
 
5.5%
1804
 
4.2%
1462
 
3.4%
945
 
2.2%
816
 
1.9%
725
 
1.7%
714
 
1.7%
638
 
1.5%
636
 
1.5%
618
 
1.4%
Other values (619) 31979
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40875
95.7%
Uppercase Letter 599
 
1.4%
Lowercase Letter 520
 
1.2%
Decimal Number 416
 
1.0%
Close Punctuation 105
 
0.2%
Open Punctuation 105
 
0.2%
Other Punctuation 57
 
0.1%
Space Separator 11
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2353
 
5.8%
1804
 
4.4%
1462
 
3.6%
945
 
2.3%
816
 
2.0%
725
 
1.8%
714
 
1.7%
638
 
1.6%
636
 
1.6%
618
 
1.5%
Other values (554) 30164
73.8%
Uppercase Letter
ValueCountFrequency (%)
B 82
13.7%
O 66
11.0%
M 54
9.0%
S 52
 
8.7%
K 50
 
8.3%
A 37
 
6.2%
E 37
 
6.2%
R 33
 
5.5%
I 32
 
5.3%
P 24
 
4.0%
Other values (15) 132
22.0%
Lowercase Letter
ValueCountFrequency (%)
o 75
14.4%
e 62
11.9%
a 53
10.2%
b 36
 
6.9%
r 36
 
6.9%
s 34
 
6.5%
k 31
 
6.0%
l 30
 
5.8%
t 27
 
5.2%
h 24
 
4.6%
Other values (13) 112
21.5%
Decimal Number
ValueCountFrequency (%)
2 167
40.1%
1 165
39.7%
0 36
 
8.7%
3 27
 
6.5%
8 13
 
3.1%
4 5
 
1.2%
5 1
 
0.2%
6 1
 
0.2%
9 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 39
68.4%
& 14
 
24.6%
! 3
 
5.3%
: 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40868
95.7%
Latin 1119
 
2.6%
Common 696
 
1.6%
Katakana 5
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2353
 
5.8%
1804
 
4.4%
1462
 
3.6%
945
 
2.3%
816
 
2.0%
725
 
1.8%
714
 
1.7%
638
 
1.6%
636
 
1.6%
618
 
1.5%
Other values (547) 30157
73.8%
Latin
ValueCountFrequency (%)
B 82
 
7.3%
o 75
 
6.7%
O 66
 
5.9%
e 62
 
5.5%
M 54
 
4.8%
a 53
 
4.7%
S 52
 
4.6%
K 50
 
4.5%
A 37
 
3.3%
E 37
 
3.3%
Other values (38) 551
49.2%
Common
ValueCountFrequency (%)
2 167
24.0%
1 165
23.7%
) 105
15.1%
( 105
15.1%
. 39
 
5.6%
0 36
 
5.2%
3 27
 
3.9%
& 14
 
2.0%
8 13
 
1.9%
11
 
1.6%
Other values (7) 14
 
2.0%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40868
95.7%
ASCII 1815
 
4.3%
Katakana 5
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2353
 
5.8%
1804
 
4.4%
1462
 
3.6%
945
 
2.3%
816
 
2.0%
725
 
1.8%
714
 
1.7%
638
 
1.6%
636
 
1.6%
618
 
1.5%
Other values (547) 30157
73.8%
ASCII
ValueCountFrequency (%)
2 167
 
9.2%
1 165
 
9.1%
) 105
 
5.8%
( 105
 
5.8%
B 82
 
4.5%
o 75
 
4.1%
O 66
 
3.6%
e 62
 
3.4%
M 54
 
3.0%
a 53
 
2.9%
Other values (55) 881
48.5%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct2946
Distinct (%)29.5%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2020-05-30 00:00:00
2023-12-13T02:48:21.573966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:21.769722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct396
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2020-07-30 00:00:00
2023-12-13T02:48:21.924677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:22.095005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

가격
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)1.6%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean16827.588
Minimum0
Maximum600000
Zeros415
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:48:22.263898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6000
Q112000
median14000
Q316000
95-th percentile25000
Maximum600000
Range600000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation38115.113
Coefficient of variation (CV)2.2650372
Kurtosis212.61
Mean16827.588
Median Absolute Deviation (MAD)2000
Skewness14.268793
Sum1.6817492 × 108
Variance1.4527618 × 109
MonotonicityNot monotonic
2023-12-13T02:48:22.445410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15000 1163
 
11.6%
13000 778
 
7.8%
12000 740
 
7.4%
14000 667
 
6.7%
16000 557
 
5.6%
13800 552
 
5.5%
10000 424
 
4.2%
11000 415
 
4.2%
0 415
 
4.2%
18000 359
 
3.6%
Other values (153) 3924
39.2%
ValueCountFrequency (%)
0 415
4.2%
100 1
 
< 0.1%
2011 1
 
< 0.1%
2900 3
 
< 0.1%
3600 1
 
< 0.1%
3900 1
 
< 0.1%
4000 2
 
< 0.1%
4500 2
 
< 0.1%
5000 16
 
0.2%
5200 1
 
< 0.1%
ValueCountFrequency (%)
600000 39
0.4%
300000 2
 
< 0.1%
273644 1
 
< 0.1%
250000 2
 
< 0.1%
182600 1
 
< 0.1%
172000 13
 
0.1%
165600 2
 
< 0.1%
150000 2
 
< 0.1%
140000 1
 
< 0.1%
120000 2
 
< 0.1%

간단줄거리
Text

MISSING 

Distinct7456
Distinct (%)79.1%
Missing575
Missing (%)5.8%
Memory size156.2 KiB
2023-12-13T02:48:22.873641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length775
Median length273
Mean length162.42451
Min length1

Characters and Unicode

Total characters1530851
Distinct characters1890
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks18 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6314 ?
Unique (%)67.0%

Sample

1st row손오공의 모험 이야기를 따라가면서 쓰기보다 뜻과 소리를 먼저 읽고 그림으로 한자를 보면서 학습할 수 있도록 한 한자학습만화다. 마법의 주문으로 음과 훈을 읽기 때문에 재미있게 한자를 배울 수 있다. 각 권마다 새로 배우는 한자 20자와 복습 한자가 50회 가량 반복되며 8급에서 1급 한자가 함께 구성되어...
2nd row이러한 아시아에 대해 우리는 얼마나 알고 있을까?「교과서가 깜빡한 아시아 역사」시리즈(전5권)에서는 재미있는 만화와 다양한 예화로 아시아의 다양한... 제3권 "이제 해방이다! 아시아 독립을 향해"편에서는 일본의 패망으로 2차 세계대전이 막을 내리고 아시아의 거울 인도차이나가 독립에 이르기까지의...
3rd row『바닷가 작업실에서는 전혀 다른 시간이 흐른다』는 저자가 여수에서 바다를 마주한 채 쓰고 그린 에세이를 모은 책이다.저자는 이 책에서 타인에게... 저자는 여수에서 자신이 꿈꾸던 바닷가 작업실 미역창고(美力創考) 자신만의 슈필라움을 찾기까지의 여정을 들려준다. 그리고 시선과 마음...
4th row사장 자신도 알 수 없던 내밀한 아픔과 고통의 이유!전작 《사장으로 산다는 것》을 통해 사장의 자리에서 겪을 수밖에 없는 어려움을 통찰하고 풀어내어 많은 사장들에게 위로를 건넸던 저자가 이번 책『사장의 길』에서 지난 10년을 공들여 찾은 사장의 딜레마를 푸는 해법을 실제 사장들이 체험한 이야기를...
5th row호주인 성우가 녹음한 MP3 CD를 부록으로 제공한다. 저자는 호주에서 3년간 홀로서기에 성공하고 돌아온 경험을 바탕으로, 현지에서 직접 부딪치며 알게 된 실제적인 정보와 노하우를 알려준다. 특히 숙박 구하기나 일자리 구하기, 친구 사귀는 요령 같은 현지 적응에 필요한 실제적이고 구체적인 정보들을...
ValueCountFrequency (%)
2518
 
0.7%
2430
 
0.7%
있는 2187
 
0.6%
통해 1298
 
0.4%
있다 1261
 
0.4%
1254
 
0.4%
책은 1201
 
0.3%
대한 1178
 
0.3%
1128
 
0.3%
책이다 904
 
0.3%
Other values (80648) 337930
95.7%
2023-12-13T02:48:23.533754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351876
 
23.0%
. 44314
 
2.9%
33725
 
2.2%
30477
 
2.0%
25840
 
1.7%
22559
 
1.5%
19913
 
1.3%
19770
 
1.3%
19224
 
1.3%
16603
 
1.1%
Other values (1880) 946550
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1063796
69.5%
Space Separator 351880
 
23.0%
Other Punctuation 54020
 
3.5%
Decimal Number 24353
 
1.6%
Open Punctuation 10355
 
0.7%
Close Punctuation 10268
 
0.7%
Uppercase Letter 9436
 
0.6%
Lowercase Letter 2421
 
0.2%
Math Symbol 1294
 
0.1%
Initial Punctuation 1203
 
0.1%
Other values (7) 1825
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33725
 
3.2%
30477
 
2.9%
25840
 
2.4%
22559
 
2.1%
19913
 
1.9%
19770
 
1.9%
19224
 
1.8%
16603
 
1.6%
15968
 
1.5%
15737
 
1.5%
Other values (1732) 843980
79.3%
Uppercase Letter
ValueCountFrequency (%)
E 940
 
10.0%
S 808
 
8.6%
T 671
 
7.1%
O 633
 
6.7%
A 616
 
6.5%
N 554
 
5.9%
I 545
 
5.8%
C 473
 
5.0%
R 420
 
4.5%
H 394
 
4.2%
Other values (17) 3382
35.8%
Lowercase Letter
ValueCountFrequency (%)
e 262
 
10.8%
o 257
 
10.6%
a 200
 
8.3%
t 199
 
8.2%
r 166
 
6.9%
n 158
 
6.5%
i 153
 
6.3%
s 140
 
5.8%
u 107
 
4.4%
l 107
 
4.4%
Other values (16) 672
27.8%
Other Punctuation
ValueCountFrequency (%)
. 44314
82.0%
! 3600
 
6.7%
, 3578
 
6.6%
? 1043
 
1.9%
· 393
 
0.7%
: 261
 
0.5%
" 259
 
0.5%
196
 
0.4%
/ 107
 
0.2%
% 96
 
0.2%
Other values (10) 173
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 457
35.3%
< 451
34.9%
~ 119
 
9.2%
69
 
5.3%
68
 
5.3%
= 44
 
3.4%
+ 33
 
2.6%
11
 
0.9%
11
 
0.9%
| 9
 
0.7%
Other values (7) 22
 
1.7%
Other Symbol
ValueCountFrequency (%)
92
45.3%
44
21.7%
21
 
10.3%
18
 
8.9%
10
 
4.9%
5
 
2.5%
4
 
2.0%
3
 
1.5%
2
 
1.0%
1
 
0.5%
Other values (3) 3
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 5854
24.0%
1 5454
22.4%
2 3774
15.5%
3 1937
 
8.0%
5 1686
 
6.9%
9 1556
 
6.4%
4 1281
 
5.3%
6 1024
 
4.2%
8 952
 
3.9%
7 832
 
3.4%
Other values (2) 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
6338
61.2%
1964
 
19.0%
( 927
 
9.0%
642
 
6.2%
[ 368
 
3.6%
114
 
1.1%
1
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
6294
61.3%
1949
 
19.0%
) 917
 
8.9%
630
 
6.1%
] 361
 
3.5%
115
 
1.1%
1
 
< 0.1%
1
 
< 0.1%
Other Number
ValueCountFrequency (%)
² 4
57.1%
1
 
14.3%
1
 
14.3%
1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 375
95.9%
8
 
2.0%
8
 
2.0%
Space Separator
ValueCountFrequency (%)
351876
> 99.9%
  4
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
788
65.5%
415
34.5%
Final Punctuation
ValueCountFrequency (%)
744
64.5%
409
35.5%
Letter Number
ValueCountFrequency (%)
12
75.0%
4
 
25.0%
Modifier Symbol
ValueCountFrequency (%)
` 41
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1063157
69.4%
Common 455177
29.7%
Latin 11873
 
0.8%
Han 602
 
< 0.1%
Hiragana 22
 
< 0.1%
Katakana 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33725
 
3.2%
30477
 
2.9%
25840
 
2.4%
22559
 
2.1%
19913
 
1.9%
19770
 
1.9%
19224
 
1.8%
16603
 
1.6%
15968
 
1.5%
15737
 
1.5%
Other values (1458) 843341
79.3%
Han
ValueCountFrequency (%)
28
 
4.7%
27
 
4.5%
26
 
4.3%
20
 
3.3%
17
 
2.8%
15
 
2.5%
13
 
2.2%
10
 
1.7%
10
 
1.7%
西 9
 
1.5%
Other values (235) 427
70.9%
Common
ValueCountFrequency (%)
351876
77.3%
. 44314
 
9.7%
6338
 
1.4%
6294
 
1.4%
0 5854
 
1.3%
1 5454
 
1.2%
2 3774
 
0.8%
! 3600
 
0.8%
, 3578
 
0.8%
1964
 
0.4%
Other values (82) 22131
 
4.9%
Latin
ValueCountFrequency (%)
E 940
 
7.9%
S 808
 
6.8%
T 671
 
5.7%
O 633
 
5.3%
A 616
 
5.2%
N 554
 
4.7%
I 545
 
4.6%
C 473
 
4.0%
R 420
 
3.5%
H 394
 
3.3%
Other values (45) 5819
49.0%
Hiragana
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (9) 9
40.9%
Katakana
ValueCountFrequency (%)
3
15.0%
3
15.0%
3
15.0%
2
10.0%
2
10.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1062958
69.4%
ASCII 445615
29.1%
None 18517
 
1.2%
Punctuation 2560
 
0.2%
CJK 597
 
< 0.1%
Compat Jamo 194
 
< 0.1%
Math Operators 140
 
< 0.1%
Misc Symbols 118
 
< 0.1%
Geometric Shapes 56
 
< 0.1%
Hiragana 22
 
< 0.1%
Other values (8) 74
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351876
79.0%
. 44314
 
9.9%
0 5854
 
1.3%
1 5454
 
1.2%
2 3774
 
0.8%
! 3600
 
0.8%
, 3578
 
0.8%
3 1937
 
0.4%
5 1686
 
0.4%
9 1556
 
0.3%
Other values (79) 21986
 
4.9%
Hangul
ValueCountFrequency (%)
33725
 
3.2%
30477
 
2.9%
25840
 
2.4%
22559
 
2.1%
19913
 
1.9%
19770
 
1.9%
19224
 
1.8%
16603
 
1.6%
15968
 
1.5%
15737
 
1.5%
Other values (1451) 843142
79.3%
None
ValueCountFrequency (%)
6338
34.2%
6294
34.0%
1964
 
10.6%
1949
 
10.5%
642
 
3.5%
630
 
3.4%
· 393
 
2.1%
115
 
0.6%
114
 
0.6%
11
 
0.1%
Other values (21) 67
 
0.4%
Punctuation
ValueCountFrequency (%)
788
30.8%
744
29.1%
415
16.2%
409
16.0%
196
 
7.7%
8
 
0.3%
Compat Jamo
ValueCountFrequency (%)
188
96.9%
2
 
1.0%
1
 
0.5%
1
 
0.5%
1
 
0.5%
1
 
0.5%
Misc Symbols
ValueCountFrequency (%)
92
78.0%
21
 
17.8%
3
 
2.5%
1
 
0.8%
1
 
0.8%
Math Operators
ValueCountFrequency (%)
69
49.3%
68
48.6%
2
 
1.4%
1
 
0.7%
Geometric Shapes
ValueCountFrequency (%)
44
78.6%
10
 
17.9%
2
 
3.6%
CJK
ValueCountFrequency (%)
28
 
4.7%
27
 
4.5%
26
 
4.4%
20
 
3.4%
17
 
2.8%
15
 
2.5%
13
 
2.2%
10
 
1.7%
10
 
1.7%
西 9
 
1.5%
Other values (231) 422
70.7%
Enclosed Alphanum
ValueCountFrequency (%)
18
85.7%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Number Forms
ValueCountFrequency (%)
12
75.0%
4
 
25.0%
Arrows
ValueCountFrequency (%)
6
100.0%
Letterlike Symbols
ValueCountFrequency (%)
4
100.0%
Katakana
ValueCountFrequency (%)
3
15.0%
3
15.0%
3
15.0%
2
10.0%
2
10.0%
2
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Hiragana
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (9) 9
40.9%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Box Drawing
ValueCountFrequency (%)
1
100.0%

책이미지
Text

MISSING 

Distinct7875
Distinct (%)82.9%
Missing495
Missing (%)5.0%
Memory size156.2 KiB
2023-12-13T02:48:23.917763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length82
Mean length82.714887
Min length67

Characters and Unicode

Total characters786205
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6847 ?
Unique (%)72.0%

Sample

1st rowhttps://bookthumb-phinf.pstatic.net/cover/112/234/11223446.jpg?type=m1&udate=20161027
2nd rowhttp://bookthumb.phinf.naver.net/cover/063/550/06355061.jpg?type=m1&udate=20110930
3rd rowhttps://bookthumb-phinf.pstatic.net/cover/149/222/14922259.jpg?type=m1&udate=20190821
4th rowhttp://bookthumb.phinf.naver.net/cover/103/742/10374270.jpg?type=m1&udate=20160426
5th rowhttp://bookthumb.phinf.naver.net/cover/026/166/02616657.jpg?type=m1&udate=20110120
ValueCountFrequency (%)
https://bookthumb-phinf.pstatic.net/cover/067/686/06768692.jpg?type=m1 39
 
0.4%
https://bookthumb-phinf.pstatic.net/cover/140/383/14038360.jpg?type=m1&udate=20181019 20
 
0.2%
https://bookthumb-phinf.pstatic.net/cover/140/896/14089655.jpg?type=m1&udate=20181127 19
 
0.2%
https://bookthumb-phinf.pstatic.net/cover/133/146/13314646.jpg?type=m1&udate=20180222 19
 
0.2%
https://bookthumb-phinf.pstatic.net/cover/136/166/13616644.jpg?type=m1&udate=20181221 17
 
0.2%
https://bookthumb-phinf.pstatic.net/cover/141/345/14134523.jpg?type=m1&udate=20181208 15
 
0.2%
http://bookthumb.phinf.naver.net/cover/087/791/08779116.jpg?type=m1&udate=20151007 14
 
0.1%
https://bookthumb-phinf.pstatic.net/cover/063/284/06328438.jpg?type=m1&udate=20130219 13
 
0.1%
http://bookthumb.phinf.naver.net/cover/087/356/08735606.jpg?type=m1&udate=20150129 13
 
0.1%
http://bookthumb.phinf.naver.net/cover/091/885/09188523.jpg?type=m1&udate=20160218 12
 
0.1%
Other values (7865) 9324
98.1%
2023-12-13T02:48:24.562448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 62129
 
7.9%
/ 57025
 
7.3%
0 45702
 
5.8%
1 45588
 
5.8%
e 44863
 
5.7%
p 40612
 
5.2%
. 35433
 
4.5%
h 28516
 
3.6%
o 28516
 
3.6%
2 26940
 
3.4%
Other values (45) 370881
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 425628
54.1%
Decimal Number 218103
27.7%
Other Punctuation 120893
 
15.4%
Math Symbol 18930
 
2.4%
Dash Punctuation 2587
 
0.3%
Uppercase Letter 45
 
< 0.1%
Connector Punctuation 19
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 62129
14.6%
e 44863
 
10.5%
p 40612
 
9.5%
h 28516
 
6.7%
o 28516
 
6.7%
n 25928
 
6.1%
m 19017
 
4.5%
b 19006
 
4.5%
u 18930
 
4.4%
a 18930
 
4.4%
Other values (14) 119181
28.0%
Uppercase Letter
ValueCountFrequency (%)
E 7
15.6%
P 7
15.6%
G 6
13.3%
J 5
11.1%
C 5
11.1%
A 4
8.9%
D 3
6.7%
W 2
 
4.4%
T 2
 
4.4%
N 1
 
2.2%
Other values (3) 3
6.7%
Decimal Number
ValueCountFrequency (%)
0 45702
21.0%
1 45588
20.9%
2 26940
12.4%
7 16478
 
7.6%
6 15061
 
6.9%
5 14230
 
6.5%
8 14104
 
6.5%
3 13767
 
6.3%
9 13153
 
6.0%
4 13080
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/ 57025
47.2%
. 35433
29.3%
? 9505
 
7.9%
: 9505
 
7.9%
& 9425
 
7.8%
Math Symbol
ValueCountFrequency (%)
= 18930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2587
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 425673
54.1%
Common 360532
45.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 62129
14.6%
e 44863
 
10.5%
p 40612
 
9.5%
h 28516
 
6.7%
o 28516
 
6.7%
n 25928
 
6.1%
m 19017
 
4.5%
b 19006
 
4.5%
u 18930
 
4.4%
a 18930
 
4.4%
Other values (27) 119226
28.0%
Common
ValueCountFrequency (%)
/ 57025
15.8%
0 45702
12.7%
1 45588
12.6%
. 35433
9.8%
2 26940
 
7.5%
= 18930
 
5.3%
7 16478
 
4.6%
6 15061
 
4.2%
5 14230
 
3.9%
8 14104
 
3.9%
Other values (8) 71041
19.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 786205
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 62129
 
7.9%
/ 57025
 
7.3%
0 45702
 
5.8%
1 45588
 
5.8%
e 44863
 
5.7%
p 40612
 
5.2%
. 35433
 
4.5%
h 28516
 
3.6%
o 28516
 
3.6%
2 26940
 
3.4%
Other values (45) 370881
47.2%

사업소
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본사
2889 
동해
2126 
당진
1829 
울산
1568 
일산
803 
Other values (3)
785 

Length

Max length7
Median length2
Mean length2.082
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본사
2nd row동해
3rd row동해
4th row동해
5th row본사

Common Values

ValueCountFrequency (%)
본사 2889
28.9%
동해 2126
21.3%
당진 1829
18.3%
울산 1568
15.7%
일산 803
 
8.0%
호남 609
 
6.1%
발전기술개발원 156
 
1.6%
<NA> 20
 
0.2%

Length

2023-12-13T02:48:24.693557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:24.820317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본사 2889
28.9%
동해 2126
21.3%
당진 1829
18.3%
울산 1568
15.7%
일산 803
 
8.0%
호남 609
 
6.1%
발전기술개발원 156
 
1.6%
na 20
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9904 
True
 
96
ValueCountFrequency (%)
False 9904
99.0%
True 96
 
1.0%
2023-12-13T02:48:24.932203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

리뷰제목
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-13T02:48:25.052995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.6666667
Min length1

Characters and Unicode

Total characters14
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row제목의 의미
2nd row김진명의 의미
3rd row굿
ValueCountFrequency (%)
의미 2
40.0%
제목의 1
20.0%
김진명의 1
20.0%
굿 1
20.0%
2023-12-13T02:48:25.347053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
28.6%
2
14.3%
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
굿 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
85.7%
Space Separator 2
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
33.3%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
굿 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
85.7%
Common 2
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
33.3%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
굿 1
 
8.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
85.7%
ASCII 2
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
33.3%
2
16.7%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
굿 1
 
8.3%
ASCII
ValueCountFrequency (%)
2
100.0%

리뷰내용
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-13T02:48:25.523721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length56
Mean length56
Min length39

Characters and Unicode

Total characters112
Distinct characters66
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row과연 신은 무엇을 말하고자 했는가? 신하 VS 북한 절대권력 아직 의미를 모르겠네~~ 하지만 역시 김진명의 소설인것만은 분명한것같다
2nd row역시 또 한번의 기대를 감동으로 보답한 소설입니다 즐거운 시간이었습니다
ValueCountFrequency (%)
역시 2
 
7.7%
과연 1
 
3.8%
즐거운 1
 
3.8%
소설입니다 1
 
3.8%
보답한 1
 
3.8%
감동으로 1
 
3.8%
기대를 1
 
3.8%
한번의 1
 
3.8%
1
 
3.8%
분명한것같다 1
 
3.8%
Other values (15) 15
57.7%
2023-12-13T02:48:25.912591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
21.4%
4
 
3.6%
3
 
2.7%
3
 
2.7%
3
 
2.7%
3
 
2.7%
~ 2
 
1.8%
2
 
1.8%
2
 
1.8%
2
 
1.8%
Other values (56) 64
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
74.1%
Space Separator 24
 
21.4%
Math Symbol 2
 
1.8%
Uppercase Letter 2
 
1.8%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
4.8%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (51) 57
68.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
74.1%
Common 27
 
24.1%
Latin 2
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
4.8%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (51) 57
68.7%
Common
ValueCountFrequency (%)
24
88.9%
~ 2
 
7.4%
? 1
 
3.7%
Latin
ValueCountFrequency (%)
S 1
50.0%
V 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
74.1%
ASCII 29
 
25.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
82.8%
~ 2
 
6.9%
S 1
 
3.4%
? 1
 
3.4%
V 1
 
3.4%
Hangul
ValueCountFrequency (%)
4
 
4.8%
3
 
3.6%
3
 
3.6%
3
 
3.6%
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (51) 57
68.7%

평점
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9997 
5
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.9991
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9997
> 99.9%
5 2
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-13T02:48:26.093677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:26.247086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9997
> 99.9%
5 2
 
< 0.1%
3 1
 
< 0.1%

대여상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9975 
delay
 
25

Length

Max length5
Median length4
Mean length4.0025
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9975
99.8%
delay 25
 
0.2%

Length

2023-12-13T02:48:26.384471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:26.515539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9975
99.8%
delay 25
 
0.2%

대여시작일
Date

MISSING 

Distinct28
Distinct (%)33.3%
Missing9916
Missing (%)99.2%
Memory size156.2 KiB
Minimum2017-09-25 00:00:00
Maximum2020-07-30 00:00:00
2023-12-13T02:48:26.614808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:26.771381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

대여종료일
Date

MISSING 

Distinct29
Distinct (%)34.5%
Missing9916
Missing (%)99.2%
Memory size156.2 KiB
Minimum2017-10-09 00:00:00
Maximum2020-08-20 00:00:00
2023-12-13T02:48:26.928715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:27.077787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

연장횟수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9916 
0
 
59
1
 
13
2
 
12

Length

Max length4
Median length4
Mean length3.9748
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9916
99.2%
0 59
 
0.6%
1 13
 
0.1%
2 12
 
0.1%

Length

2023-12-13T02:48:27.238536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:27.417351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9916
99.2%
0 59
 
0.6%
1 13
 
0.1%
2 12
 
0.1%

공감_여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9996 
False
 
4
ValueCountFrequency (%)
True 9996
> 99.9%
False 4
 
< 0.1%
2023-12-13T02:48:27.552385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

서평
Text

MISSING 

Distinct691
Distinct (%)57.2%
Missing8791
Missing (%)87.9%
Memory size156.2 KiB
2023-12-13T02:48:27.949076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length575
Median length216
Mean length112.54756
Min length3

Characters and Unicode

Total characters136070
Distinct characters1043
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique450 ?
Unique (%)37.2%

Sample

1st row평소에 하정우의 팬인데 이 책을 통해서 하정우의 가치관과 생각을 알 수 있게 되어서 좋았다. 게으른 나지만 정우 오빠를 따라서 열심히 걸어봐야겠다...
2nd row한나 아렌트는 이 책에서 아이히만에 대해 "그는 다만 스스로 생각하기를 포기했을 뿐이다"라고 표현한다. 아이히만은 평범한 이웃이며, 다정한 부모일 수도 있다. 그런 동시에 그는 수백만 명의 유태인을 학살한 데 일조했다. 이런 모순적인 그의 삶을 설명하는 가장 중요한 단서가 바로 '생각하기'일 것이다. 과연, 현재의 나는, 그리고 우리는 생각하기를 포기하지 않았는지 곱씹어보아야 할 것이다.
3rd row미술치료 교수로 재직 중인 저자가 시험 준비에 도움을 주는 명화들을 엄선해놓은 책. 책에 실린 그림을 계속 보는 것은 번거로우니, 본인에게 가장 도움이 될 것 같고, 마음에 드는 그림을 선택해서 집에 걸어놓으면 좋을 것 같습니다.
4th row먼저 삶을 살아간 이들의 얘기에 경청하기는 어렵다. 그 사람의 경험이 편견으로 작용하여 나와는 다른 얘기로 들리기 때문이다. 그런점에서 이 책의 권위가 그러한 어려움을 많이 덜어주었다.
5th row한번쯤 진짜로 진지하게 북한은 우리와 통일해야 하는 존재이고 한배를 탄 공동체임을 자각하고 진지한 생각을 해보게한 책
ValueCountFrequency (%)
486
 
1.5%
있는 269
 
0.8%
237
 
0.7%
책을 175
 
0.5%
있다 155
 
0.5%
대한 153
 
0.5%
152
 
0.5%
통해 123
 
0.4%
대해 114
 
0.3%
106
 
0.3%
Other values (9971) 30710
94.0%
2023-12-13T02:48:28.584358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31806
 
23.4%
3600
 
2.6%
3380
 
2.5%
2993
 
2.2%
. 2585
 
1.9%
2573
 
1.9%
1953
 
1.4%
1936
 
1.4%
1909
 
1.4%
1895
 
1.4%
Other values (1033) 81440
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99516
73.1%
Space Separator 31806
 
23.4%
Other Punctuation 4036
 
3.0%
Decimal Number 449
 
0.3%
Uppercase Letter 77
 
0.1%
Math Symbol 44
 
< 0.1%
Close Punctuation 35
 
< 0.1%
Open Punctuation 35
 
< 0.1%
Final Punctuation 20
 
< 0.1%
Lowercase Letter 19
 
< 0.1%
Other values (4) 33
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3600
 
3.6%
3380
 
3.4%
2993
 
3.0%
2573
 
2.6%
1953
 
2.0%
1936
 
1.9%
1909
 
1.9%
1895
 
1.9%
1691
 
1.7%
1563
 
1.6%
Other values (968) 76023
76.4%
Uppercase Letter
ValueCountFrequency (%)
S 11
14.3%
T 8
10.4%
E 8
10.4%
M 8
10.4%
O 7
9.1%
L 6
7.8%
F 5
6.5%
B 4
 
5.2%
H 4
 
5.2%
I 4
 
5.2%
Other values (7) 12
15.6%
Decimal Number
ValueCountFrequency (%)
1 100
22.3%
0 97
21.6%
2 79
17.6%
3 35
 
7.8%
5 34
 
7.6%
4 32
 
7.1%
9 29
 
6.5%
7 21
 
4.7%
6 11
 
2.4%
8 11
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
n 4
21.1%
g 2
10.5%
e 2
10.5%
c 2
10.5%
o 2
10.5%
i 2
10.5%
d 2
10.5%
p 1
 
5.3%
v 1
 
5.3%
t 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2585
64.0%
, 907
 
22.5%
' 199
 
4.9%
! 153
 
3.8%
" 120
 
3.0%
? 65
 
1.6%
% 3
 
0.1%
* 2
 
< 0.1%
/ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 23
65.7%
8
 
22.9%
] 3
 
8.6%
1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 23
65.7%
8
 
22.9%
[ 3
 
8.6%
1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 18
40.9%
< 13
29.5%
> 13
29.5%
Final Punctuation
ValueCountFrequency (%)
16
80.0%
4
 
20.0%
Initial Punctuation
ValueCountFrequency (%)
11
61.1%
7
38.9%
Space Separator
ValueCountFrequency (%)
31806
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99478
73.1%
Common 36458
 
26.8%
Latin 96
 
0.1%
Han 38
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3600
 
3.6%
3380
 
3.4%
2993
 
3.0%
2573
 
2.6%
1953
 
2.0%
1936
 
1.9%
1909
 
1.9%
1895
 
1.9%
1691
 
1.7%
1563
 
1.6%
Other values (958) 75985
76.4%
Common
ValueCountFrequency (%)
31806
87.2%
. 2585
 
7.1%
, 907
 
2.5%
' 199
 
0.5%
! 153
 
0.4%
" 120
 
0.3%
1 100
 
0.3%
0 97
 
0.3%
2 79
 
0.2%
? 65
 
0.2%
Other values (28) 347
 
1.0%
Latin
ValueCountFrequency (%)
S 11
 
11.5%
T 8
 
8.3%
E 8
 
8.3%
M 8
 
8.3%
O 7
 
7.3%
L 6
 
6.2%
F 5
 
5.2%
n 4
 
4.2%
B 4
 
4.2%
H 4
 
4.2%
Other values (17) 31
32.3%
Han
ValueCountFrequency (%)
8
21.1%
8
21.1%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99464
73.1%
ASCII 36498
 
26.8%
Punctuation 38
 
< 0.1%
CJK 30
 
< 0.1%
None 18
 
< 0.1%
Compat Jamo 14
 
< 0.1%
CJK Compat Ideographs 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31806
87.1%
. 2585
 
7.1%
, 907
 
2.5%
' 199
 
0.5%
! 153
 
0.4%
" 120
 
0.3%
1 100
 
0.3%
0 97
 
0.3%
2 79
 
0.2%
? 65
 
0.2%
Other values (47) 387
 
1.1%
Hangul
ValueCountFrequency (%)
3600
 
3.6%
3380
 
3.4%
2993
 
3.0%
2573
 
2.6%
1953
 
2.0%
1936
 
1.9%
1909
 
1.9%
1895
 
1.9%
1691
 
1.7%
1563
 
1.6%
Other values (952) 75971
76.4%
Punctuation
ValueCountFrequency (%)
16
42.1%
11
28.9%
7
18.4%
4
 
10.5%
None
ValueCountFrequency (%)
8
44.4%
8
44.4%
1
 
5.6%
1
 
5.6%
Compat Jamo
ValueCountFrequency (%)
8
57.1%
2
 
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
1
 
7.1%
CJK
ValueCountFrequency (%)
8
26.7%
4
13.3%
4
13.3%
4
13.3%
4
13.3%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
CJK Compat Ideographs
ValueCountFrequency (%)
8
100.0%

소모임활동인원수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.8%
Missing8791
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean4.292804
Minimum3
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:48:28.771484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q35
95-th percentile7
Maximum13
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5279806
Coefficient of variation (CV)0.35593999
Kurtosis3.1218041
Mean4.292804
Median Absolute Deviation (MAD)1
Skewness1.553637
Sum5190
Variance2.3347247
MonotonicityNot monotonic
2023-12-13T02:48:28.910494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 497
 
5.0%
4 274
 
2.7%
5 223
 
2.2%
6 113
 
1.1%
7 52
 
0.5%
8 26
 
0.3%
9 12
 
0.1%
11 7
 
0.1%
10 4
 
< 0.1%
13 1
 
< 0.1%
(Missing) 8791
87.9%
ValueCountFrequency (%)
3 497
5.0%
4 274
2.7%
5 223
2.2%
6 113
 
1.1%
7 52
 
0.5%
8 26
 
0.3%
9 12
 
0.1%
10 4
 
< 0.1%
11 7
 
0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
11 7
 
0.1%
10 4
 
< 0.1%
9 12
 
0.1%
8 26
 
0.3%
7 52
 
0.5%
6 113
 
1.1%
5 223
2.2%
4 274
2.7%
3 497
5.0%

처리사유
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9967 
discrad
 
33

Length

Max length7
Median length4
Mean length4.0099
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9967
99.7%
discrad 33
 
0.3%

Length

2023-12-13T02:48:29.055942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:29.194512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9967
99.7%
discrad 33
 
0.3%

삭제일
Date

MISSING 

Distinct21
Distinct (%)63.6%
Missing9967
Missing (%)99.7%
Memory size156.2 KiB
Minimum2016-01-26 00:00:00
Maximum2019-11-21 00:00:00
2023-12-13T02:48:29.319387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:29.488654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

신청상태값
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9171 
구매완료
 
743
취소됨
 
37
검토 및 주문 처리중
 
25
신청중
 
15

Length

Max length25
Median length4
Mean length5.6532
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9171
91.7%
구매완료 743
 
7.4%
취소됨 37
 
0.4%
검토 및 주문 처리중 25
 
0.2%
신청중 15
 
0.1%
신청완료 9
 
0.1%

Length

2023-12-13T02:48:29.631042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:29.733623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9171
91.0%
구매완료 743
 
7.4%
취소됨 37
 
0.4%
검토 25
 
0.2%
25
 
0.2%
주문 25
 
0.2%
처리중 25
 
0.2%
신청중 15
 
0.1%
신청완료 9
 
0.1%

Sample

바코드책이름도서시리즈명저자출판사출판일등록일가격간단줄거리책이미지사업소최고 경영자 추천 유무리뷰제목리뷰내용평점대여상태대여시작일대여종료일연장횟수공감_여부서평소모임활동인원수처리사유삭제일신청상태값
9234BC001874마법천자문 37 (펼쳐라! 펼 전)<NA>올댓스토리|김성재아울북2016-10-242019-03-219800손오공의 모험 이야기를 따라가면서 쓰기보다 뜻과 소리를 먼저 읽고 그림으로 한자를 보면서 학습할 수 있도록 한 한자학습만화다. 마법의 주문으로 음과 훈을 읽기 때문에 재미있게 한자를 배울 수 있다. 각 권마다 새로 배우는 한자 20자와 복습 한자가 50회 가량 반복되며 8급에서 1급 한자가 함께 구성되어...https://bookthumb-phinf.pstatic.net/cover/112/234/11223446.jpg?type=m1&udate=20161027본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
9954DH40037교과서가 깜빡한 아시아 역사 3 (그린비 교양만화 깜빡 역사이제 해방이다! 아시아 독립을 향해)<NA>유재현그린비2010-08-252016-05-1712900이러한 아시아에 대해 우리는 얼마나 알고 있을까?「교과서가 깜빡한 아시아 역사」시리즈(전5권)에서는 재미있는 만화와 다양한 예화로 아시아의 다양한... 제3권 "이제 해방이다! 아시아 독립을 향해"편에서는 일본의 패망으로 2차 세계대전이 막을 내리고 아시아의 거울 인도차이나가 독립에 이르기까지의...http://bookthumb.phinf.naver.net/cover/063/550/06355061.jpg?type=m1&udate=20110930동해N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
2634DH190827바닷가 작업실에서는 전혀 다른 시간이 흐른다 (슈필라움의 심리학)<NA>김정운21세기북스2019-05-152019-08-2218000『바닷가 작업실에서는 전혀 다른 시간이 흐른다』는 저자가 여수에서 바다를 마주한 채 쓰고 그린 에세이를 모은 책이다.저자는 이 책에서 타인에게... 저자는 여수에서 자신이 꿈꾸던 바닷가 작업실 미역창고(美力創考) 자신만의 슈필라움을 찾기까지의 여정을 들려준다. 그리고 시선과 마음...https://bookthumb-phinf.pstatic.net/cover/149/222/14922259.jpg?type=m1&udate=20190821동해N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
6808DH170535사장의 길<NA>서광원흐름출판2016-03-212017-08-0316000사장 자신도 알 수 없던 내밀한 아픔과 고통의 이유!전작 《사장으로 산다는 것》을 통해 사장의 자리에서 겪을 수밖에 없는 어려움을 통찰하고 풀어내어 많은 사장들에게 위로를 건넸던 저자가 이번 책『사장의 길』에서 지난 10년을 공들여 찾은 사장의 딜레마를 푸는 해법을 실제 사장들이 체험한 이야기를...http://bookthumb.phinf.naver.net/cover/103/742/10374270.jpg?type=m1&udate=20160426동해N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
15989BC80020내 인생을 바꾸는 호주에서 홀로서기 (SURVIVAL ENGLISH)<NA>한용석국민출판사2010-05-202014-10-1515000호주인 성우가 녹음한 MP3 CD를 부록으로 제공한다. 저자는 호주에서 3년간 홀로서기에 성공하고 돌아온 경험을 바탕으로, 현지에서 직접 부딪치며 알게 된 실제적인 정보와 노하우를 알려준다. 특히 숙박 구하기나 일자리 구하기, 친구 사귀는 요령 같은 현지 적응에 필요한 실제적이고 구체적인 정보들을...http://bookthumb.phinf.naver.net/cover/026/166/02616657.jpg?type=m1&udate=20110120본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
15766BC001407걷는 사람 하정우<NA>하정우문학동네2018-11-232019-01-2215500걷고 또 걷는 배우 그리고 자연인 하정우의 발자국!하루 3만 보씩 걷고 심지어 하루 10만 보까지도 기록한 적 있는 유별난 걷기 마니아로 알려진 배우 하정우의 에세이 『걷는 사람 하정우』. 강남에서 홍대까지 편도 1만 6천 보 정도면 간다며 거침없이 서울을 걸어 다니고 심지어 비행기를 타러 강남에서...https://bookthumb-phinf.pstatic.net/cover/142/576/14257616.jpg?type=m1&udate=20190117본사N<NA><NA><NA>delay2020-07-222020-08-121Y평소에 하정우의 팬인데 이 책을 통해서 하정우의 가치관과 생각을 알 수 있게 되어서 좋았다. 게으른 나지만 정우 오빠를 따라서 열심히 걸어봐야겠다...3<NA><NA><NA>
251BC000062나는 누구인가 (인간의 본질을 밝히는 인문학의 첫 번째 질문플라톤 아카데미 총서)<NA>강신주|고미숙|김상근|슬라보예 지젝|이태수|정용석|최진석21세기북스2016-05-272016-08-0415000누구인가?”강신주 최진석 고미숙 슬라보예 지젝…우리 시대 학자 7인과 함께한 감동과 성찰의 인문학!인간에 대한 학문인 인문학의 열풍 끝에 남은 본질적인 물음 나는 누구인... 그 물음 끝에 탄생한 『나는 누구인가』는 2013년 가을 플라톤 아카데미가 주최한 동명의...http://bookthumb.phinf.naver.net/cover/106/346/10634601.jpg?type=m1&udate=20160602본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
10473BC001553신하들이 연산군을 내쫓다역사똑똑 조선왕조박영규통큰세상2015-07-012019-02-2710000연산군은 궁궐에서 날마다 잔치를 벌였으며심지어 백성들의 집을 허물어뜨려 사냥터로 만들기도 했어요. 자기 뜻을 거스르는 신하가있으면 목숨을 빼앗는 일도 서슴지 않았지요.결국 신하들의 반란으로 쫓겨나게 된답니다.한긍희 (국사편찬위원회 편사연구사)https://bookthumb-phinf.pstatic.net/cover/093/442/09344244.jpg?type=m1&udate=20150806본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
3110IS000896내 아이의 배낭여행 (시간을 사서라도 여행을 떠나는 여행 유전자로 똘똘 뭉친 세 식구의 배낭여행 예찬론!)<NA>김현주꿈의지도2018-02-222018-09-1014000어른들은 아이의 곁에서 아이의 눈높이에 맞춰 세상을 바라봐 주기만 하면 된다. 내 아이의 배낭여행은 여섯 살 난 아이가 배낭여행을 통해 세상과 자신을 알아가며 성장하는 모습을 곁에서 지켜보며 꼼꼼하게 써 내려간 보통 엄마의 여행 예찬론이다.https://bookthumb-phinf.pstatic.net/cover/133/174/13317472.jpg?type=m1&udate=20180309일산N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
2829HN40023나의 문화유산답사기 일본편 1 (빛은 한반도로부터,규슈)나의 문화유산답사기유홍준창비2013-07-292016-01-2716500『나의 문화유산답사기 일본편』 제1권 《규슈》. 《나의 문화유산답사기》로 한국의 문화기행서로 많은 사랑을 받은 유홍준 교수의 신작이다. 일본 속의 한국문화, 일본문화의 정수를 찾이위해 일본편을 출간하였다. 1권 규슈 편에서는 일본이 고대문화를 이룩하는데 한반도에서 많은 영향을 받았음을...http://bookthumb.phinf.naver.net/cover/072/620/07262085.jpg?type=m1&udate=20130821호남N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
바코드책이름도서시리즈명저자출판사출판일등록일가격간단줄거리책이미지사업소최고 경영자 추천 유무리뷰제목리뷰내용평점대여상태대여시작일대여종료일연장횟수공감_여부서평소모임활동인원수처리사유삭제일신청상태값
2708BC40101나의 문화유산답사기 3 (말하지 않는 것과의 대화)나의 문화유산답사기유홍준창비2011-05-112015-10-2716500답사 신드롬을 불러일으키는 인문서『나의 문화유산답사기. 3 : 말하지 않는 것과의 대화』. 1990년대 초중반 전국적인 답사 신드롬을 불러일으키며 인문서 최초의 밀리언셀러를 기록한 <나의 문화유산답사기>가 시즌 2를 선언하며 10년 만에 돌아왔다. 이번 신간에는 사진자료를 컬러로 복원하면서...http://bookthumb.phinf.naver.net/cover/066/361/06636161.jpg?type=m1&udate=20150719본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
10935DJ001078애프터 다크 (무라카미 하루키 장편소설)<NA>무라카미 하루키비채2015-08-282018-02-1213000독자를 공모자로 끌어들인 채 관찰하는 자매의 하룻밤!무라카미 하루키 데뷔 25주년 기념 장편소설 『애프터 다크』. 1979년 《바람의 노래를 들어라》로 군조신인문학상을 수상하며 데뷔한 이후 독자들의 사랑을 받아온 무라카미 하루키. 그가 등단 25주년을 맞는 해에 발표한 11번째 장편소설로 발표...http://bookthumb.phinf.naver.net/cover/095/095/09509556.jpg?type=m1&udate=20180116당진N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
14975IS000612최신 개정 KS규격에 따른 금속재료 핸드북 (제조산업 현장 기술자를 위한 데이터 핸드북)<NA>테크노공학기술연구소엔지니어북스2013-07-012018-05-2935000최신 개정 KS규격에 따른『금속재료 핸드북』. 제조산업 현장 기술자를 위한 데이터 핸드북으로 총 20장으로 구성하여 기계재료의 개요부터 기호 철강재료기호 신구 대조표 등을 수록하고 있다.http://bookthumb.phinf.naver.net/cover/072/590/07259088.jpg?type=m1&udate=20150715일산N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
8357DH20244우리가 볼 수 없는 모든 빛 2<NA>앤서니 도어민음사2015-07-102016-05-0914500마리로르는 세상에 흔치 않아 귀중하고 값어치가 높은 나치가 찾아 헤매던 보석에 초연할 수 있는 단단한 소녀로 성장한다. 세상에서 가장 소중한 것이 무엇인지 알기에 할 수 있는 일이다. 고아 베르너는 나치의 군사 양성 학교에서 특별 대우를 받으면서 그 대가로 친구가 부조리한 이유로 폭행을 당해...http://bookthumb.phinf.naver.net/cover/092/739/09273944.jpg?type=m1&udate=20150713동해N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
6221BC001236중국 : 천하의 중심을 꿈꾼 사람들<NA>백승도그레이트북스2011-03-312018-11-229800<NA>https://bookthumb-phinf.pstatic.net/cover/063/982/06398240.jpg?type=m1&udate=20120214본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
3916DH170904어떻게 진짜 어른이 되는가 (숨을 곳 없는 나를 위한 심리 치유서)<NA>데이비드 리코자음과모음2017-07-212017-10-1713000『어떻게 진짜 어른이 되는가』의 저자이기도 한 그는 여러 가지 감정이 뒤얽혀 있는 상태에서 심리적 · 영적 건강에 이르는 여정을 출발 투쟁 귀환의 세 단계로 나누어 설명한다.이 책에는 독자들의 이해를 돕기 위한 각종 체크리스트들과 도표 명상을 위한 문학적인 인용문들이 가득 실려 있다. 저자도...http://bookthumb.phinf.naver.net/cover/122/844/12284479.jpg?type=m1&udate=20170723동해N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
15454DJ000987꾸뻬 씨의 시간 여행<NA>프랑수아 를로르열림원2013-05-222018-02-0913500시간의 의미를 찾아 나선 꾸뻬 씨의 여행!파리의 정신과 의사 꾸뻬 씨가 들려주는 시간 이야기 『꾸뻬 씨의 시간 여행』. 여행을 통해 삶의 다양한 고민들에 대한 답을 찾아가는 심리 소설이다. 전작들에서 행복 인생 우정에 대한 답을 찾아 떠났던 꾸뻬 씨가 이번에는 시간의 의미를 찾아 여행을 떠...http://bookthumb.phinf.naver.net/cover/072/140/07214087.jpg?type=m1&udate=20150715당진N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
2653US90190가끔은 격하게 외로워야 한다 (내 삶의 주인이 되는 문화심리학)<NA>김정운21세기북스2015-12-212016-03-0418000이 책 『가끔은 격하게 외로워야 한다: 내 삶의 주인이 되는 문화심리학』(21세기북스)는 그림과 사진, 심리학적·사회문화적 통찰이 총망라되어 있는 크로스오버 도서로, 전방위적 행보를 보여온 문화심리학자 김정운의 예술가적 면모를 본격적으로 선보인 첫 책이다. 지난 4년간 축적해온 내면의 사유와 성찰이...http://bookthumb.phinf.naver.net/cover/099/479/09947915.jpg?type=m1울산N<NA><NA><NA><NA><NA><NA><NA>Y내 감정이 먼저 해결되어야 상대방과도 해결할 수 있다. 나는 이 때 고독의 힘을 느꼈다. 아니 배웠다. 상대방의 속도감을 조금이나마 이해할 수 있게 해준 것도 그 고독한 기다림이었다. 나만 외롭다는 생각, 섣부른 용서는 관계의 틈만 벌릴 뿐이다. 스스로 고독의 시간을 적극적으로 찾고 상대방의 고독한 시간을 응원해야 한다. 무조건 모든 것을 함께하는 것만이 정답은 아니다.9<NA><NA><NA>
15830BC20311헝거 게임헝거 게임수잔 콜린스북폴리오2009-10-312015-07-2813000수잔 콜린스의 헝거 게임 3부작의 첫 번째 작품 <헝거 게임>. <헝거 게임>은 독재체제하의 미래사회를 배경으로 식민지의 각 구역에서 뽑혀 온 스물 네 명의 소년소녀가 서로 죽고 죽인다는 충격적인 설정에, 로맨스나 신데렐라 스토리 등 인기 코드를 버무려 넣은 소설이다. 「뉴욕타임...http://bookthumb.phinf.naver.net/cover/061/080/06108081.jpg?type=m1&udate=20120504본사N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>
96DH171009녹턴 (모던 클래식 36음악과 황혼에 대한 다섯 가지 이야기Nocturnes)<NA>가즈오 이시구로민음사2010-11-122017-11-1411000녹턴이 야상곡(夜想曲) 혹은 몽환곡이라고도 불리듯 주인공들의 삶은 성공보다는 실패 아침보다는 저녁 쪽에 더 가깝다. 성공과는 거리가 먼 인생을 살고 있지만 절대 절망하지 않고 희망을 좇아 스스로를 부추기는 인물들을 통해 작가는 결코 눈부시게 환하지 않지만 마냥 어둡지만은 않은 평범한...http://bookthumb.phinf.naver.net/cover/064/056/06405638.jpg?type=m1&udate=20171012동해N<NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>