Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells50
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Numeric2
Text5
Categorical1

Dataset

Description한국예술종합학교 교내도서관 도서정보
Author문화체육관광부 한국예술종합학교
URLhttps://www.data.go.kr/data/3069958/fileData.do

Alerts

No. is highly overall correlated with 제어번호 and 1 other fieldsHigh correlation
제어번호 is highly overall correlated with No. and 1 other fieldsHigh correlation
별치기호 is highly overall correlated with No. and 1 other fieldsHigh correlation
별치기호 is highly imbalanced (91.9%)Imbalance
No. has unique valuesUnique
제어번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:37:50.489216
Analysis finished2023-12-12 21:37:55.249302
Duration4.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No.
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19723.609
Minimum2
Maximum39681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:37:55.346407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1935.95
Q110001.75
median19747.5
Q329490.5
95-th percentile37642.1
Maximum39681
Range39679
Interquartile range (IQR)19488.75

Descriptive statistics

Standard deviation11407.502
Coefficient of variation (CV)0.57836785
Kurtosis-1.1789247
Mean19723.609
Median Absolute Deviation (MAD)9745
Skewness0.011226358
Sum1.9723609 × 108
Variance1.3013109 × 108
MonotonicityNot monotonic
2023-12-13T06:37:55.529799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16082 1
 
< 0.1%
13354 1
 
< 0.1%
12412 1
 
< 0.1%
2490 1
 
< 0.1%
26634 1
 
< 0.1%
18724 1
 
< 0.1%
4616 1
 
< 0.1%
11866 1
 
< 0.1%
21036 1
 
< 0.1%
24165 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
16 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
ValueCountFrequency (%)
39681 1
< 0.1%
39675 1
< 0.1%
39671 1
< 0.1%
39667 1
< 0.1%
39660 1
< 0.1%
39655 1
< 0.1%
39648 1
< 0.1%
39646 1
< 0.1%
39641 1
< 0.1%
39639 1
< 0.1%

제어번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200006.2
Minimum154890
Maximum241601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:37:55.727358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum154890
5-th percentile163799.9
Q1182310.25
median198643.5
Q3216506.75
95-th percentile237138.1
Maximum241601
Range86711
Interquartile range (IQR)34196.5

Descriptive statistics

Standard deviation23042.25
Coefficient of variation (CV)0.11520768
Kurtosis-1.0225168
Mean200006.2
Median Absolute Deviation (MAD)17076.5
Skewness0.069894885
Sum2.000062 × 109
Variance5.309453 × 108
MonotonicityNot monotonic
2023-12-13T06:37:55.893673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178517 1
 
< 0.1%
184562 1
 
< 0.1%
189552 1
 
< 0.1%
164852 1
 
< 0.1%
212383 1
 
< 0.1%
186071 1
 
< 0.1%
172036 1
 
< 0.1%
188346 1
 
< 0.1%
198772 1
 
< 0.1%
215209 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
154890 1
< 0.1%
154891 1
< 0.1%
154893 1
< 0.1%
154897 1
< 0.1%
154902 1
< 0.1%
154953 1
< 0.1%
154961 1
< 0.1%
154962 1
< 0.1%
154964 1
< 0.1%
154972 1
< 0.1%
ValueCountFrequency (%)
241601 1
< 0.1%
241598 1
< 0.1%
241595 1
< 0.1%
241592 1
< 0.1%
241587 1
< 0.1%
241570 1
< 0.1%
241568 1
< 0.1%
241564 1
< 0.1%
241562 1
< 0.1%
241546 1
< 0.1%

서명
Text

Distinct9968
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:37:56.270356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length298
Median length153
Mean length26.7457
Min length1

Characters and Unicode

Total characters267457
Distinct characters2395
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9939 ?
Unique (%)99.4%

Sample

1st row(우리 인문학의 자긍심) 김수영을 위하여
2nd rowTomboy style
3rd row나는 여기가 좋다: 한창훈 소설
4th row세렐렘 : 나더쉬 피테르 중편소설
5th rowThe Tao of physics : an exploration of the parallels between modern physics and Eastern mysticism
ValueCountFrequency (%)
4468
 
8.0%
the 1446
 
2.6%
of 891
 
1.6%
and 750
 
1.3%
in 414
 
0.7%
a 331
 
0.6%
art 279
 
0.5%
장편소설 233
 
0.4%
to 213
 
0.4%
design 202
 
0.4%
Other values (23457) 46727
83.5%
2023-12-13T06:37:56.915634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45954
 
17.2%
e 12323
 
4.6%
a 9011
 
3.4%
i 8666
 
3.2%
t 8478
 
3.2%
n 8194
 
3.1%
o 7872
 
2.9%
r 7848
 
2.9%
s 6680
 
2.5%
: 5001
 
1.9%
Other values (2385) 147430
55.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 103787
38.8%
Other Letter 93510
35.0%
Space Separator 45954
17.2%
Other Punctuation 8824
 
3.3%
Uppercase Letter 7322
 
2.7%
Decimal Number 5226
 
2.0%
Open Punctuation 987
 
0.4%
Close Punctuation 985
 
0.4%
Dash Punctuation 610
 
0.2%
Math Symbol 229
 
0.1%
Other values (6) 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3580
 
3.8%
이 2005
 
2.1%
사 1452
 
1.6%
한 1388
 
1.5%
기 1386
 
1.5%
는 1335
 
1.4%
가 1212
 
1.3%
리 1128
 
1.2%
인 1076
 
1.2%
지 1028
 
1.1%
Other values (2228) 77920
83.3%
Lowercase Letter
ValueCountFrequency (%)
e 12323
11.9%
a 9011
 
8.7%
i 8666
 
8.3%
t 8478
 
8.2%
n 8194
 
7.9%
o 7872
 
7.6%
r 7848
 
7.6%
s 6680
 
6.4%
l 4347
 
4.2%
h 4095
 
3.9%
Other values (46) 26273
25.3%
Uppercase Letter
ValueCountFrequency (%)
T 774
 
10.6%
A 633
 
8.6%
S 539
 
7.4%
C 517
 
7.1%
M 440
 
6.0%
D 366
 
5.0%
P 365
 
5.0%
B 361
 
4.9%
I 334
 
4.6%
F 290
 
4.0%
Other values (30) 2703
36.9%
Other Punctuation
ValueCountFrequency (%)
: 5001
56.7%
, 1698
 
19.2%
? 631
 
7.2%
. 536
 
6.1%
' 298
 
3.4%
· 234
 
2.7%
& 126
 
1.4%
! 119
 
1.3%
/ 65
 
0.7%
; 53
 
0.6%
Other values (10) 63
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 1317
25.2%
0 1246
23.8%
2 717
13.7%
9 480
 
9.2%
3 312
 
6.0%
5 305
 
5.8%
4 241
 
4.6%
8 220
 
4.2%
6 201
 
3.8%
7 187
 
3.6%
Math Symbol
ValueCountFrequency (%)
= 132
57.6%
~ 39
 
17.0%
+ 36
 
15.7%
> 7
 
3.1%
< 7
 
3.1%
| 4
 
1.7%
≪ 1
 
0.4%
≫ 1
 
0.4%
＋ 1
 
0.4%
｜ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 927
94.1%
] 23
 
2.3%
』 22
 
2.2%
」 10
 
1.0%
》 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 927
93.9%
[ 25
 
2.5%
『 22
 
2.2%
「 10
 
1.0%
《 3
 
0.3%
Other Symbol
ValueCountFrequency (%)
★ 3
37.5%
° 2
25.0%
™ 2
25.0%
│ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
45954
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 610
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 110745
41.4%
Hangul 89250
33.4%
Common 62838
23.5%
Han 3495
 
1.3%
Katakana 470
 
0.2%
Cyrillic 364
 
0.1%
Hiragana 295
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3580
 
4.0%
이 2005
 
2.2%
사 1452
 
1.6%
한 1388
 
1.6%
기 1386
 
1.6%
는 1335
 
1.5%
가 1212
 
1.4%
리 1128
 
1.3%
인 1076
 
1.2%
지 1028
 
1.2%
Other values (1156) 73660
82.5%
Han
ValueCountFrequency (%)
國 79
 
2.3%
中 78
 
2.2%
文 78
 
2.2%
集 62
 
1.8%
代 48
 
1.4%
史 47
 
1.3%
學 45
 
1.3%
化 41
 
1.2%
志 34
 
1.0%
術 31
 
0.9%
Other values (937) 2952
84.5%
Katakana
ValueCountFrequency (%)
ン 35
 
7.4%
イ 29
 
6.2%
ス 28
 
6.0%
ラ 20
 
4.3%
タ 19
 
4.0%
フ 18
 
3.8%
リ 17
 
3.6%
ィ 14
 
3.0%
デ 14
 
3.0%
ッ 14
 
3.0%
Other values (59) 262
55.7%
Common
ValueCountFrequency (%)
45954
73.1%
: 5001
 
8.0%
, 1698
 
2.7%
1 1317
 
2.1%
0 1246
 
2.0%
) 927
 
1.5%
( 927
 
1.5%
2 717
 
1.1%
? 631
 
1.0%
- 610
 
1.0%
Other values (51) 3810
 
6.1%
Hiragana
ValueCountFrequency (%)
の 55
18.6%
と 16
 
5.4%
か 15
 
5.1%
を 13
 
4.4%
る 13
 
4.4%
た 12
 
4.1%
い 12
 
4.1%
し 10
 
3.4%
き 9
 
3.1%
に 8
 
2.7%
Other values (46) 132
44.7%
Latin
ValueCountFrequency (%)
e 12323
 
11.1%
a 9011
 
8.1%
i 8666
 
7.8%
t 8478
 
7.7%
n 8194
 
7.4%
o 7872
 
7.1%
r 7848
 
7.1%
s 6680
 
6.0%
l 4347
 
3.9%
h 4095
 
3.7%
Other values (43) 33231
30.0%
Cyrillic
ValueCountFrequency (%)
и 37
 
10.2%
а 31
 
8.5%
о 28
 
7.7%
с 26
 
7.1%
к 24
 
6.6%
р 23
 
6.3%
е 22
 
6.0%
в 17
 
4.7%
н 15
 
4.1%
л 14
 
3.8%
Other values (33) 127
34.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173238
64.8%
Hangul 89238
33.4%
CJK 3435
 
1.3%
Katakana 470
 
0.2%
Cyrillic 364
 
0.1%
None 322
 
0.1%
Hiragana 295
 
0.1%
CJK Compat Ideographs 60
 
< 0.1%
Punctuation 15
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45954
26.5%
e 12323
 
7.1%
a 9011
 
5.2%
i 8666
 
5.0%
t 8478
 
4.9%
n 8194
 
4.7%
o 7872
 
4.5%
r 7848
 
4.5%
s 6680
 
3.9%
: 5001
 
2.9%
Other values (81) 53211
30.7%
Hangul
ValueCountFrequency (%)
의 3580
 
4.0%
이 2005
 
2.2%
사 1452
 
1.6%
한 1388
 
1.6%
기 1386
 
1.6%
는 1335
 
1.5%
가 1212
 
1.4%
리 1128
 
1.3%
인 1076
 
1.2%
지 1028
 
1.2%
Other values (1152) 73648
82.5%
None
ValueCountFrequency (%)
· 234
72.7%
』 22
 
6.8%
『 22
 
6.8%
」 10
 
3.1%
「 10
 
3.1%
＆ 8
 
2.5%
》 3
 
0.9%
《 3
 
0.9%
、 2
 
0.6%
° 2
 
0.6%
Other values (5) 6
 
1.9%
CJK
ValueCountFrequency (%)
國 79
 
2.3%
中 78
 
2.3%
文 78
 
2.3%
集 62
 
1.8%
代 48
 
1.4%
史 47
 
1.4%
學 45
 
1.3%
化 41
 
1.2%
志 34
 
1.0%
術 31
 
0.9%
Other values (906) 2892
84.2%
Hiragana
ValueCountFrequency (%)
の 55
18.6%
と 16
 
5.4%
か 15
 
5.1%
を 13
 
4.4%
る 13
 
4.4%
た 12
 
4.1%
い 12
 
4.1%
し 10
 
3.4%
き 9
 
3.1%
に 8
 
2.7%
Other values (46) 132
44.7%
Cyrillic
ValueCountFrequency (%)
и 37
 
10.2%
а 31
 
8.5%
о 28
 
7.7%
с 26
 
7.1%
к 24
 
6.6%
р 23
 
6.3%
е 22
 
6.0%
в 17
 
4.7%
н 15
 
4.1%
л 14
 
3.8%
Other values (33) 127
34.9%
Katakana
ValueCountFrequency (%)
ン 35
 
7.4%
イ 29
 
6.2%
ス 28
 
6.0%
ラ 20
 
4.3%
タ 19
 
4.0%
フ 18
 
3.8%
リ 17
 
3.6%
ィ 14
 
3.0%
デ 14
 
3.0%
ッ 14
 
3.0%
Other values (59) 262
55.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
66.7%
ㄹ 2
 
16.7%
ㅎ 1
 
8.3%
ㅅ 1
 
8.3%
Punctuation
ValueCountFrequency (%)
… 7
46.7%
’ 5
33.3%
‘ 3
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
論 7
 
11.7%
李 6
 
10.0%
理 5
 
8.3%
禮 4
 
6.7%
歷 4
 
6.7%
老 3
 
5.0%
女 3
 
5.0%
茶 2
 
3.3%
年 2
 
3.3%
六 2
 
3.3%
Other values (21) 22
36.7%
Misc Symbols
ValueCountFrequency (%)
★ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 2
100.0%
Math Operators
ValueCountFrequency (%)
≪ 1
50.0%
≫ 1
50.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%

저자
Text

Distinct9281
Distinct (%)93.1%
Missing33
Missing (%)0.3%
Memory size156.2 KiB
2023-12-13T06:37:57.260269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length78
Mean length14.780476
Min length1

Characters and Unicode

Total characters147317
Distinct characters1729
Distinct categories15 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8815 ?
Unique (%)88.4%

Sample

1st row강신주 지음 ; 김서연 만듦
2nd rowGarrett Mettler, Lizzie
3rd row한창훈 지음
4th row나더쉬 피테르 지음 ; 김보국 옮김
5th rowCapra, Fritjof
ValueCountFrequency (%)
지음 4330
 
12.4%
2575
 
7.3%
옮김 2193
 
6.3%
저 371
 
1.1%
편 308
 
0.9%
공]지음 280
 
0.8%
엮음 194
 
0.6%
외 184
 
0.5%
著 181
 
0.5%
글 178
 
0.5%
Other values (14375) 24242
69.2%
2023-12-13T06:37:57.795204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25091
 
17.0%
지 5173
 
3.5%
음 4962
 
3.4%
e 4217
 
2.9%
a 4156
 
2.8%
, 4070
 
2.8%
김 3809
 
2.6%
; 3517
 
2.4%
n 3226
 
2.2%
i 3183
 
2.2%
Other values (1719) 85913
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65914
44.7%
Lowercase Letter 35543
24.1%
Space Separator 25091
 
17.0%
Other Punctuation 9981
 
6.8%
Uppercase Letter 7852
 
5.3%
Close Punctuation 1344
 
0.9%
Open Punctuation 1344
 
0.9%
Dash Punctuation 148
 
0.1%
Decimal Number 70
 
< 0.1%
Math Symbol 24
 
< 0.1%
Other values (5) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5173
 
7.8%
음 4962
 
7.5%
김 3809
 
5.8%
옮 2388
 
3.6%
이 2013
 
3.1%
스 994
 
1.5%
정 840
 
1.3%
공 736
 
1.1%
리 704
 
1.1%
영 693
 
1.1%
Other values (1614) 43602
66.1%
Lowercase Letter
ValueCountFrequency (%)
e 4217
11.9%
a 4156
11.7%
n 3226
9.1%
i 3183
 
9.0%
r 3173
 
8.9%
o 2511
 
7.1%
l 2229
 
6.3%
t 1769
 
5.0%
s 1682
 
4.7%
h 1363
 
3.8%
Other values (27) 8034
22.6%
Uppercase Letter
ValueCountFrequency (%)
M 700
 
8.9%
S 696
 
8.9%
B 525
 
6.7%
A 516
 
6.6%
J 507
 
6.5%
C 499
 
6.4%
R 411
 
5.2%
D 397
 
5.1%
H 383
 
4.9%
G 379
 
4.8%
Other values (18) 2839
36.2%
Other Punctuation
ValueCountFrequency (%)
, 4070
40.8%
; 3517
35.2%
. 1541
 
15.4%
: 322
 
3.2%
? 309
 
3.1%
· 176
 
1.8%
' 22
 
0.2%
& 11
 
0.1%
/ 10
 
0.1%
" 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 19
27.1%
2 12
17.1%
0 11
15.7%
9 7
 
10.0%
3 5
 
7.1%
5 5
 
7.1%
7 4
 
5.7%
8 3
 
4.3%
4 3
 
4.3%
6 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
< 9
37.5%
> 9
37.5%
+ 5
20.8%
｜ 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
] 1306
97.2%
) 37
 
2.8%
》 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 1306
97.2%
( 37
 
2.8%
《 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 143
96.6%
― 5
 
3.4%
Other Symbol
ValueCountFrequency (%)
│ 1
50.0%
▲ 1
50.0%
Space Separator
ValueCountFrequency (%)
25091
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63068
42.8%
Latin 43379
29.4%
Common 38008
25.8%
Han 2557
 
1.7%
Katakana 250
 
0.2%
Hiragana 39
 
< 0.1%
Cyrillic 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5173
 
8.2%
음 4962
 
7.9%
김 3809
 
6.0%
옮 2388
 
3.8%
이 2013
 
3.2%
스 994
 
1.6%
정 840
 
1.3%
공 736
 
1.2%
리 704
 
1.1%
영 693
 
1.1%
Other values (819) 40756
64.6%
Han
ValueCountFrequency (%)
著 222
 
8.7%
編 151
 
5.9%
主 66
 
2.6%
譯 61
 
2.4%
文 40
 
1.6%
撰 36
 
1.4%
中 29
 
1.1%
金 26
 
1.0%
集 21
 
0.8%
博 18
 
0.7%
Other values (709) 1887
73.8%
Katakana
ValueCountFrequency (%)
ス 16
 
6.4%
イ 13
 
5.2%
タ 12
 
4.8%
ジ 11
 
4.4%
リ 11
 
4.4%
ッ 11
 
4.4%
フ 11
 
4.4%
ン 10
 
4.0%
ル 10
 
4.0%
ド 10
 
4.0%
Other values (47) 135
54.0%
Latin
ValueCountFrequency (%)
e 4217
 
9.7%
a 4156
 
9.6%
n 3226
 
7.4%
i 3183
 
7.3%
r 3173
 
7.3%
o 2511
 
5.8%
l 2229
 
5.1%
t 1769
 
4.1%
s 1682
 
3.9%
h 1363
 
3.1%
Other values (43) 15870
36.6%
Common
ValueCountFrequency (%)
25091
66.0%
, 4070
 
10.7%
; 3517
 
9.3%
. 1541
 
4.1%
] 1306
 
3.4%
[ 1306
 
3.4%
: 322
 
0.8%
? 309
 
0.8%
· 176
 
0.5%
- 143
 
0.4%
Other values (30) 227
 
0.6%
Hiragana
ValueCountFrequency (%)
き 6
15.4%
ま 5
12.8%
の 4
10.3%
た 4
10.3%
か 3
 
7.7%
ひ 2
 
5.1%
ち 2
 
5.1%
こ 2
 
5.1%
ほ 1
 
2.6%
ゆ 1
 
2.6%
Other values (9) 9
23.1%
Cyrillic
ValueCountFrequency (%)
и 4
25.0%
о 2
12.5%
н 1
 
6.2%
З 1
 
6.2%
л 1
 
6.2%
т 1
 
6.2%
ц 1
 
6.2%
к 1
 
6.2%
Д 1
 
6.2%
а 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81198
55.1%
Hangul 63067
42.8%
CJK 2525
 
1.7%
Katakana 250
 
0.2%
None 180
 
0.1%
Hiragana 39
 
< 0.1%
CJK Compat Ideographs 32
 
< 0.1%
Cyrillic 16
 
< 0.1%
Punctuation 7
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25091
30.9%
e 4217
 
5.2%
a 4156
 
5.1%
, 4070
 
5.0%
; 3517
 
4.3%
n 3226
 
4.0%
i 3183
 
3.9%
r 3173
 
3.9%
o 2511
 
3.1%
l 2229
 
2.7%
Other values (73) 25825
31.8%
Hangul
ValueCountFrequency (%)
지 5173
 
8.2%
음 4962
 
7.9%
김 3809
 
6.0%
옮 2388
 
3.8%
이 2013
 
3.2%
스 994
 
1.6%
정 840
 
1.3%
공 736
 
1.2%
리 704
 
1.1%
영 693
 
1.1%
Other values (818) 40755
64.6%
CJK
ValueCountFrequency (%)
著 222
 
8.8%
編 151
 
6.0%
主 66
 
2.6%
譯 61
 
2.4%
文 40
 
1.6%
撰 36
 
1.4%
中 29
 
1.1%
金 26
 
1.0%
集 21
 
0.8%
博 18
 
0.7%
Other values (695) 1855
73.5%
None
ValueCountFrequency (%)
· 176
97.8%
｜ 1
 
0.6%
ł 1
 
0.6%
《 1
 
0.6%
》 1
 
0.6%
Katakana
ValueCountFrequency (%)
ス 16
 
6.4%
イ 13
 
5.2%
タ 12
 
4.8%
ジ 11
 
4.4%
リ 11
 
4.4%
ッ 11
 
4.4%
フ 11
 
4.4%
ン 10
 
4.0%
ル 10
 
4.0%
ド 10
 
4.0%
Other values (47) 135
54.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 16
50.0%
麗 2
 
6.2%
盧 2
 
6.2%
劉 2
 
6.2%
良 1
 
3.1%
龍 1
 
3.1%
呂 1
 
3.1%
林 1
 
3.1%
沈 1
 
3.1%
羅 1
 
3.1%
Other values (4) 4
 
12.5%
Hiragana
ValueCountFrequency (%)
き 6
15.4%
ま 5
12.8%
の 4
10.3%
た 4
10.3%
か 3
 
7.7%
ひ 2
 
5.1%
ち 2
 
5.1%
こ 2
 
5.1%
ほ 1
 
2.6%
ゆ 1
 
2.6%
Other values (9) 9
23.1%
Punctuation
ValueCountFrequency (%)
― 5
71.4%
“ 1
 
14.3%
” 1
 
14.3%
Cyrillic
ValueCountFrequency (%)
и 4
25.0%
о 2
12.5%
н 1
 
6.2%
З 1
 
6.2%
л 1
 
6.2%
т 1
 
6.2%
ц 1
 
6.2%
к 1
 
6.2%
Д 1
 
6.2%
а 1
 
6.2%
Other values (2) 2
12.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
▲ 1
100.0%

출판사
Text

Distinct3917
Distinct (%)39.2%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T06:37:58.077660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length107
Mean length9.615323
Min length1

Characters and Unicode

Total characters96009
Distinct characters1013
Distinct categories13 ?
Distinct scripts7 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2621 ?
Unique (%)26.2%

Sample

1st row천년의상상
2nd rowRizzoli International Publications
3rd row문학동네
4th rowarte: 북이십일 아르테
5th rowShambhala
ValueCountFrequency (%)
press 686
 
4.1%
university 436
 
2.6%
395
 
2.4%
of 213
 
1.3%
books 210
 
1.3%
문학동네 158
 
0.9%
art 142
 
0.9%
pub 109
 
0.7%
distributed 96
 
0.6%
publishers 96
 
0.6%
Other values (3986) 14104
84.7%
2023-12-13T06:37:58.736290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6663
 
6.9%
e 5051
 
5.3%
i 4398
 
4.6%
s 4333
 
4.5%
r 4180
 
4.4%
n 3390
 
3.5%
a 3278
 
3.4%
o 3269
 
3.4%
t 3172
 
3.3%
l 2204
 
2.3%
Other values (1003) 56071
58.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44739
46.6%
Other Letter 33081
34.5%
Uppercase Letter 8769
 
9.1%
Space Separator 6663
 
6.9%
Other Punctuation 2229
 
2.3%
Decimal Number 236
 
0.2%
Close Punctuation 99
 
0.1%
Open Punctuation 96
 
0.1%
Dash Punctuation 87
 
0.1%
Math Symbol 6
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1233
 
3.7%
스 1031
 
3.1%
문 949
 
2.9%
학 807
 
2.4%
북 773
 
2.3%
이 646
 
2.0%
한 553
 
1.7%
지 484
 
1.5%
화 457
 
1.4%
미 420
 
1.3%
Other values (909) 25728
77.8%
Lowercase Letter
ValueCountFrequency (%)
e 5051
11.3%
i 4398
9.8%
s 4333
9.7%
r 4180
9.3%
n 3390
 
7.6%
a 3278
 
7.3%
o 3269
 
7.3%
t 3172
 
7.1%
l 2204
 
4.9%
u 1822
 
4.1%
Other values (25) 9642
21.6%
Uppercase Letter
ValueCountFrequency (%)
P 1588
18.1%
A 664
 
7.6%
C 609
 
6.9%
B 566
 
6.5%
U 546
 
6.2%
M 511
 
5.8%
S 466
 
5.3%
D 434
 
4.9%
H 415
 
4.7%
T 319
 
3.6%
Other values (19) 2651
30.2%
Other Punctuation
ValueCountFrequency (%)
: 737
33.1%
. 482
21.6%
, 303
13.6%
? 213
 
9.6%
; 197
 
8.8%
& 173
 
7.8%
/ 74
 
3.3%
' 31
 
1.4%
＆ 9
 
0.4%
· 9
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 91
38.6%
2 86
36.4%
0 26
 
11.0%
4 9
 
3.8%
3 6
 
2.5%
6 5
 
2.1%
5 5
 
2.1%
9 4
 
1.7%
8 4
 
1.7%
Close Punctuation
ValueCountFrequency (%)
] 89
89.9%
) 10
 
10.1%
Open Punctuation
ValueCountFrequency (%)
[ 86
89.6%
( 10
 
10.4%
Space Separator
ValueCountFrequency (%)
6663
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53495
55.7%
Hangul 30601
31.9%
Common 9419
 
9.8%
Han 2290
 
2.4%
Katakana 190
 
0.2%
Cyrillic 13
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1233
 
4.0%
스 1031
 
3.4%
문 949
 
3.1%
학 807
 
2.6%
북 773
 
2.5%
이 646
 
2.1%
한 553
 
1.8%
지 484
 
1.6%
화 457
 
1.5%
미 420
 
1.4%
Other values (575) 23248
76.0%
Han
ValueCountFrequency (%)
社 287
 
12.5%
出 218
 
9.5%
版 216
 
9.4%
文 98
 
4.3%
海 72
 
3.1%
上 71
 
3.1%
學 64
 
2.8%
民 59
 
2.6%
人 55
 
2.4%
大 38
 
1.7%
Other values (276) 1112
48.6%
Latin
ValueCountFrequency (%)
e 5051
 
9.4%
i 4398
 
8.2%
s 4333
 
8.1%
r 4180
 
7.8%
n 3390
 
6.3%
a 3278
 
6.1%
o 3269
 
6.1%
t 3172
 
5.9%
l 2204
 
4.1%
u 1822
 
3.4%
Other values (43) 18398
34.4%
Katakana
ValueCountFrequency (%)
ン 15
 
7.9%
イ 14
 
7.4%
ナ 13
 
6.8%
ク 12
 
6.3%
ル 10
 
5.3%
ッ 10
 
5.3%
ョ 9
 
4.7%
シ 9
 
4.7%
ス 9
 
4.7%
タ 8
 
4.2%
Other values (38) 81
42.6%
Common
ValueCountFrequency (%)
6663
70.7%
: 737
 
7.8%
. 482
 
5.1%
, 303
 
3.2%
? 213
 
2.3%
; 197
 
2.1%
& 173
 
1.8%
1 91
 
1.0%
] 89
 
0.9%
- 87
 
0.9%
Other values (19) 384
 
4.1%
Cyrillic
ValueCountFrequency (%)
а 3
23.1%
о 1
 
7.7%
Н 1
 
7.7%
т 1
 
7.7%
и 1
 
7.7%
В 1
 
7.7%
в 1
 
7.7%
А 1
 
7.7%
г 1
 
7.7%
р 1
 
7.7%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62892
65.5%
Hangul 30596
31.9%
CJK 2288
 
2.4%
Katakana 190
 
0.2%
None 21
 
< 0.1%
Cyrillic 13
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6663
 
10.6%
e 5051
 
8.0%
i 4398
 
7.0%
s 4333
 
6.9%
r 4180
 
6.6%
n 3390
 
5.4%
a 3278
 
5.2%
o 3269
 
5.2%
t 3172
 
5.0%
l 2204
 
3.5%
Other values (68) 22954
36.5%
Hangul
ValueCountFrequency (%)
사 1233
 
4.0%
스 1031
 
3.4%
문 949
 
3.1%
학 807
 
2.6%
북 773
 
2.5%
이 646
 
2.1%
한 553
 
1.8%
지 484
 
1.6%
화 457
 
1.5%
미 420
 
1.4%
Other values (573) 23243
76.0%
CJK
ValueCountFrequency (%)
社 287
 
12.5%
出 218
 
9.5%
版 216
 
9.4%
文 98
 
4.3%
海 72
 
3.1%
上 71
 
3.1%
學 64
 
2.8%
民 59
 
2.6%
人 55
 
2.4%
大 38
 
1.7%
Other values (274) 1110
48.5%
Katakana
ValueCountFrequency (%)
ン 15
 
7.9%
イ 14
 
7.4%
ナ 13
 
6.8%
ク 12
 
6.3%
ル 10
 
5.3%
ッ 10
 
5.3%
ョ 9
 
4.7%
シ 9
 
4.7%
ス 9
 
4.7%
タ 8
 
4.2%
Other values (38) 81
42.6%
None
ValueCountFrequency (%)
＆ 9
42.9%
· 9
42.9%
ı 2
 
9.5%
㈜ 1
 
4.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
Cyrillic
ValueCountFrequency (%)
а 3
23.1%
о 1
 
7.7%
Н 1
 
7.7%
т 1
 
7.7%
и 1
 
7.7%
В 1
 
7.7%
в 1
 
7.7%
А 1
 
7.7%
г 1
 
7.7%
р 1
 
7.7%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
50.0%
寧 1
50.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

출판년
Text

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:37:58.941540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.0297
Min length1

Characters and Unicode

Total characters40297
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)0.5%

Sample

1st row2012
2nd row2012
3rd row2009
4th row2014
5th row2010
ValueCountFrequency (%)
2012 1817
18.2%
2014 1280
12.8%
2013 1255
12.6%
2011 1179
11.8%
2010 984
9.8%
2015 692
 
6.9%
2009 499
 
5.0%
2008 258
 
2.6%
2007 246
 
2.5%
2006 203
 
2.0%
Other values (101) 1586
15.9%
2023-12-13T06:37:59.273004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12380
30.7%
2 11313
28.1%
1 9472
23.5%
9 1781
 
4.4%
4 1478
 
3.7%
3 1469
 
3.6%
5 939
 
2.3%
8 546
 
1.4%
6 429
 
1.1%
7 416
 
1.0%
Other values (4) 74
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40223
99.8%
Dash Punctuation 67
 
0.2%
Space Separator 5
 
< 0.1%
Other Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12380
30.8%
2 11313
28.1%
1 9472
23.5%
9 1781
 
4.4%
4 1478
 
3.7%
3 1469
 
3.7%
5 939
 
2.3%
8 546
 
1.4%
6 429
 
1.1%
7 416
 
1.0%
Other Letter
ValueCountFrequency (%)
미 1
50.0%
상 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40295
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12380
30.7%
2 11313
28.1%
1 9472
23.5%
9 1781
 
4.4%
4 1478
 
3.7%
3 1469
 
3.6%
5 939
 
2.3%
8 546
 
1.4%
6 429
 
1.1%
7 416
 
1.0%
Other values (2) 72
 
0.2%
Hangul
ValueCountFrequency (%)
미 1
50.0%
상 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40295
> 99.9%
Hangul 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12380
30.7%
2 11313
28.1%
1 9472
23.5%
9 1781
 
4.4%
4 1478
 
3.7%
3 1469
 
3.6%
5 939
 
2.3%
8 546
 
1.4%
6 429
 
1.1%
7 416
 
1.0%
Other values (2) 72
 
0.2%
Hangul
ValueCountFrequency (%)
미 1
50.0%
상 1
50.0%

별치기호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9900 
 
100

Length

Max length4
Median length4
Mean length3.97
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> 9900
99.0%
100
 
1.0%

Length

2023-12-13T06:37:59.397361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:37:59.490622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9900
100.0%

청구기호
Text

Distinct9694
Distinct (%)97.0%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:37:59.824803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length11.181736
Min length1

Characters and Unicode

Total characters111795
Distinct characters603
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9575 ?
Unique (%)95.8%

Sample

1st row811.609 강59ㄱ
2nd row746.92 G239t
3rd row813.6 한811나
4th row839.61 피833ㅅ
5th row530.01 C251t
ValueCountFrequency (%)
813.6 208
 
1.0%
이종호 195
 
1.0%
843 179
 
0.9%
818 147
 
0.7%
833.6 121
 
0.6%
709.2 93
 
0.5%
811.6 93
 
0.5%
814.6 91
 
0.4%
658 73
 
0.4%
812.6 69
 
0.3%
Other values (12143) 19043
93.8%
2023-12-13T06:38:00.390179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10320
 
9.2%
1 9908
 
8.9%
3 8390
 
7.5%
2 8134
 
7.3%
. 8116
 
7.3%
9 7986
 
7.1%
8 7710
 
6.9%
7 6761
 
6.0%
6 6611
 
5.9%
5 5975
 
5.3%
Other values (593) 31884
28.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72584
64.9%
Other Letter 14712
 
13.2%
Space Separator 10320
 
9.2%
Other Punctuation 8239
 
7.4%
Uppercase Letter 2970
 
2.7%
Lowercase Letter 2960
 
2.6%
Dash Punctuation 8
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 1141
 
7.8%
이 813
 
5.5%
ㅅ 810
 
5.5%
김 725
 
4.9%
ㄱ 696
 
4.7%
ㅈ 554
 
3.8%
ㅎ 504
 
3.4%
ㅁ 452
 
3.1%
ㅂ 406
 
2.8%
ㄷ 381
 
2.6%
Other values (525) 8230
55.9%
Uppercase Letter
ValueCountFrequency (%)
B 286
 
9.6%
S 286
 
9.6%
M 244
 
8.2%
C 190
 
6.4%
H 171
 
5.8%
G 166
 
5.6%
K 164
 
5.5%
P 147
 
4.9%
D 146
 
4.9%
L 141
 
4.7%
Other values (16) 1029
34.6%
Lowercase Letter
ValueCountFrequency (%)
a 255
 
8.6%
c 243
 
8.2%
s 230
 
7.8%
p 207
 
7.0%
m 192
 
6.5%
d 170
 
5.7%
t 163
 
5.5%
b 140
 
4.7%
f 137
 
4.6%
r 129
 
4.4%
Other values (16) 1094
37.0%
Decimal Number
ValueCountFrequency (%)
1 9908
13.7%
3 8390
11.6%
2 8134
11.2%
9 7986
11.0%
8 7710
10.6%
7 6761
9.3%
6 6611
9.1%
5 5975
8.2%
4 5861
8.1%
0 5248
7.2%
Other Punctuation
ValueCountFrequency (%)
. 8116
98.5%
/ 123
 
1.5%
Space Separator
ValueCountFrequency (%)
10320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91153
81.5%
Hangul 14711
 
13.2%
Latin 5930
 
5.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 1141
 
7.8%
이 813
 
5.5%
ㅅ 810
 
5.5%
김 725
 
4.9%
ㄱ 696
 
4.7%
ㅈ 554
 
3.8%
ㅎ 504
 
3.4%
ㅁ 452
 
3.1%
ㅂ 406
 
2.8%
ㄷ 381
 
2.6%
Other values (524) 8229
55.9%
Latin
ValueCountFrequency (%)
B 286
 
4.8%
S 286
 
4.8%
a 255
 
4.3%
M 244
 
4.1%
c 243
 
4.1%
s 230
 
3.9%
p 207
 
3.5%
m 192
 
3.2%
C 190
 
3.2%
H 171
 
2.9%
Other values (42) 3626
61.1%
Common
ValueCountFrequency (%)
10320
11.3%
1 9908
10.9%
3 8390
9.2%
2 8134
8.9%
. 8116
8.9%
9 7986
8.8%
8 7710
8.5%
7 6761
7.4%
6 6611
7.3%
5 5975
6.6%
Other values (6) 11242
12.3%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97083
86.8%
Hangul 8612
 
7.7%
Compat Jamo 6099
 
5.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10320
10.6%
1 9908
10.2%
3 8390
8.6%
2 8134
8.4%
. 8116
8.4%
9 7986
8.2%
8 7710
7.9%
7 6761
 
7.0%
6 6611
 
6.8%
5 5975
 
6.2%
Other values (58) 17172
17.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1141
18.7%
ㅅ 810
13.3%
ㄱ 696
11.4%
ㅈ 554
9.1%
ㅎ 504
8.3%
ㅁ 452
 
7.4%
ㅂ 406
 
6.7%
ㄷ 381
 
6.2%
ㄴ 311
 
5.1%
ㅍ 211
 
3.5%
Other values (9) 633
10.4%
Hangul
ValueCountFrequency (%)
이 813
 
9.4%
김 725
 
8.4%
호 221
 
2.6%
박 213
 
2.5%
정 205
 
2.4%
종 200
 
2.3%
한 193
 
2.2%
조 152
 
1.8%
최 143
 
1.7%
오 120
 
1.4%
Other values (505) 5627
65.3%
CJK
ValueCountFrequency (%)
外 1
100.0%

Interactions

2023-12-13T06:37:54.544440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:54.219109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:54.681846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:54.410964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:38:00.488198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No.제어번호
No.1.0000.941
제어번호0.9411.000
2023-12-13T06:38:00.569985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No.제어번호별치기호
No.1.0000.9551.000
제어번호0.9551.0001.000
별치기호1.0001.0001.000

Missing values

2023-12-13T06:37:54.852121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:37:55.014152image/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.
2023-12-13T06:37:55.161013image/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

No.제어번호서명저자출판사출판년별치기호청구기호
1608116082178517(우리 인문학의 자긍심) 김수영을 위하여강신주 지음 ; 김서연 만듦천년의상상2012<NA>811.609 강59ㄱ
1404314044181827Tomboy styleGarrett Mettler, LizzieRizzoli International Publications2012<NA>746.92 G239t
44964497171989나는 여기가 좋다: 한창훈 소설한창훈 지음문학동네2009<NA>813.6 한811나
2836528366212919세렐렘 : 나더쉬 피테르 중편소설나더쉬 피테르 지음 ; 김보국 옮김arte: 북이십일 아르테2014<NA>839.61 피833ㅅ
1809518096192280The Tao of physics : an exploration of the parallels between modern physics and Eastern mysticismCapra, FritjofShambhala2010<NA>530.01 C251t
2585825859203361Cultivate小嶋一浩; 赤松佳珠子 [共]著TOTO出版2007<NA>720 코79ㅋ 이종호
3384933850228814Creativity : the magic synthesisArieti, SilvanoBasic Books1976<NA>153.35 A698c
85698570181750(창조가 쉬워지는) 모방의 힘김남국 지음위즈덤하우스2012<NA>325.1 김211ㅁ
2232222323209682現代美國史A. 모로와 著; 申相楚 譯三星文化財團1975<NA>942.07 모235ㅎ
2260422605203356청주연초제조창의 문화적 재생 : 모더니즘 동시대성도코모모코리아 편저하나2013<NA>542.1 도825 이종호
No.제어번호서명저자출판사출판년별치기호청구기호
2552425525212647(달라이 라마) 행복의 지혜 : 지치고, 상처받은 이들이 마음의 평화를 키우는 법달라이 라마, 빅터 챈 [공]지음 ; 진우기 옮김반니2014<NA>229 달231ㅎ
2848228483205415학문의 구조사전Valis Deux 저; 오상혁 역더난출판사1996<NA>001 발239ㅎ 이종호
1772817729190628내 얘기를 들어줄 단 한 사람이 있다면조우성 지음리더스북2013<NA>818 조67내
3306133062218493적멸을 위하여 : 조오현문학전집[지은이: 조오현] ; 권영민 엮음문학사상2012<NA>811.7 조65ㅈ
1467314674187426(톨스토이 인생론) 자아의 발견톨스토이 지음 ; 함현규 옮김빛과향기2012<NA>199.1 톨58ㅈ
2754427545207653월정사한상길 지음대한불교진흥원2009<NA>226.911 한17
2634326344207323박하사탕 : 한국현대미술국립현대미술관 [편]국립현대미술관2007<NA>606.3 국239박
1768917690191844서양미술사 속에는 서양미술이 있다박우찬 지음재원2012<NA>609.2 박67ㅅ/개정
774477451809791984년조지 오웰 지음 ; 권진아 옮김을유문화사2012<NA>843 오67ㅊ 권진아
3689736898239529휴게소글: 정미진 ; 그림: 구자선엣눈북스2016<NA>818 정39ㅎ