Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells33
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

Numeric1
Text7
Categorical1

Alerts

연번 is highly overall correlated with 분관High correlation
분관 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:27:05.471546
Analysis finished2024-01-09 21:27:07.938232
Duration2.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39230.893
Minimum5
Maximum77730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:27:07.995299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile3995.65
Q120151.75
median39401.5
Q358445.5
95-th percentile74051.25
Maximum77730
Range77725
Interquartile range (IQR)38293.75

Descriptive statistics

Standard deviation22373.141
Coefficient of variation (CV)0.57029395
Kurtosis-1.1880058
Mean39230.893
Median Absolute Deviation (MAD)19142
Skewness-0.015328075
Sum3.9230894 × 108
Variance5.0055744 × 108
MonotonicityNot monotonic
2024-01-10T06:27:08.143542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23024 1
 
< 0.1%
2139 1
 
< 0.1%
62013 1
 
< 0.1%
69574 1
 
< 0.1%
50548 1
 
< 0.1%
36371 1
 
< 0.1%
71480 1
 
< 0.1%
12735 1
 
< 0.1%
68441 1
 
< 0.1%
31676 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
10 1
< 0.1%
19 1
< 0.1%
21 1
< 0.1%
24 1
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
39 1
< 0.1%
49 1
< 0.1%
57 1
< 0.1%
ValueCountFrequency (%)
77730 1
< 0.1%
77726 1
< 0.1%
77716 1
< 0.1%
77708 1
< 0.1%
77704 1
< 0.1%
77699 1
< 0.1%
77698 1
< 0.1%
77691 1
< 0.1%
77689 1
< 0.1%
77680 1
< 0.1%

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:27:08.362322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters15
Distinct categories2 ?
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 rowYM0000023715
2nd rowYM0000013675
3rd rowKM0000008023
4th rowYM0000000860
5th rowKM0000019758
ValueCountFrequency (%)
ym0000023715 1
 
< 0.1%
ym0000013098 1
 
< 0.1%
ym0000026478 1
 
< 0.1%
km0000006178 1
 
< 0.1%
km0000028409 1
 
< 0.1%
em0000017209 1
 
< 0.1%
km0000016181 1
 
< 0.1%
ym0000052541 1
 
< 0.1%
em0000019442 1
 
< 0.1%
ym0000002193 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-01-10T06:27:08.631070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56689
47.2%
M 10000
 
8.3%
1 7326
 
6.1%
2 7207
 
6.0%
Y 4852
 
4.0%
3 4654
 
3.9%
5 4651
 
3.9%
4 4029
 
3.4%
6 3966
 
3.3%
8 3869
 
3.2%
Other values (5) 12757
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
83.3%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56689
56.7%
1 7326
 
7.3%
2 7207
 
7.2%
3 4654
 
4.7%
5 4651
 
4.7%
4 4029
 
4.0%
6 3966
 
4.0%
8 3869
 
3.9%
7 3833
 
3.8%
9 3776
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
M 10000
50.0%
Y 4852
24.3%
K 3369
 
16.8%
E 1774
 
8.9%
G 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56689
56.7%
1 7326
 
7.3%
2 7207
 
7.2%
3 4654
 
4.7%
5 4651
 
4.7%
4 4029
 
4.0%
6 3966
 
4.0%
8 3869
 
3.9%
7 3833
 
3.8%
9 3776
 
3.8%
Latin
ValueCountFrequency (%)
M 10000
50.0%
Y 4852
24.3%
K 3369
 
16.8%
E 1774
 
8.9%
G 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56689
47.2%
M 10000
 
8.3%
1 7326
 
6.1%
2 7207
 
6.0%
Y 4852
 
4.0%
3 4654
 
3.9%
5 4651
 
3.9%
4 4029
 
3.4%
6 3966
 
3.3%
8 3869
 
3.2%
Other values (5) 12757
 
10.6%

청구기호
Text

Distinct9868
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:27:08.808205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length11.5536
Min length5

Characters and Unicode

Total characters115536
Distinct characters684
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9759 ?
Unique (%)97.6%

Sample

1st row337.2-이93ㅇ
2nd row981.102-김44ㅎ
3rd row아082-지58ㅅ-14
4th row233.38-현18ㅅ
5th row유813.8-난76ㅁ
ValueCountFrequency (%)
향911.77-예52ㅇ 8
 
0.1%
유808.91-피298ㅋ 6
 
0.1%
유808.91-춤85ㅋ 6
 
0.1%
아859.7-얀55ㅁ 4
 
< 0.1%
833.6-나872ㅅ 4
 
< 0.1%
813.6-홍34이 3
 
< 0.1%
833.6-히12ㄱ 3
 
< 0.1%
813.7-김14ㄱ 3
 
< 0.1%
f843-m478e 3
 
< 0.1%
833.6-히12ㅇ 3
 
< 0.1%
Other values (9858) 9957
99.6%
2024-01-10T06:27:09.282858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 13066
 
11.3%
8 11452
 
9.9%
1 9806
 
8.5%
. 8655
 
7.5%
3 7714
 
6.7%
2 6919
 
6.0%
4 6464
 
5.6%
9 6199
 
5.4%
5 5794
 
5.0%
6 5245
 
4.5%
Other values (674) 34222
29.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68499
59.3%
Other Letter 22941
 
19.9%
Dash Punctuation 13066
 
11.3%
Other Punctuation 8659
 
7.5%
Lowercase Letter 1581
 
1.4%
Uppercase Letter 459
 
0.4%
Math Symbol 320
 
0.3%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2364
 
10.3%
ㅇ 1899
 
8.3%
ㅅ 1177
 
5.1%
ㄱ 991
 
4.3%
김 964
 
4.2%
유 953
 
4.2%
이 817
 
3.6%
ㅎ 638
 
2.8%
ㅈ 624
 
2.7%
ㅁ 620
 
2.7%
Other values (611) 11894
51.8%
Lowercase Letter
ValueCountFrequency (%)
v 1345
85.1%
o 43
 
2.7%
j 25
 
1.6%
s 23
 
1.5%
b 19
 
1.2%
c 16
 
1.0%
h 13
 
0.8%
d 13
 
0.8%
w 12
 
0.8%
p 11
 
0.7%
Other values (13) 61
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
F 244
53.2%
O 34
 
7.4%
N 25
 
5.4%
D 20
 
4.4%
M 14
 
3.1%
S 13
 
2.8%
R 11
 
2.4%
L 10
 
2.2%
G 10
 
2.2%
C 9
 
2.0%
Other values (13) 69
 
15.0%
Decimal Number
ValueCountFrequency (%)
8 11452
16.7%
1 9806
14.3%
3 7714
11.3%
2 6919
10.1%
4 6464
9.4%
9 6199
9.0%
5 5794
8.5%
6 5245
7.7%
7 5172
7.6%
0 3734
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 8655
> 99.9%
· 4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 13066
100.0%
Math Symbol
ValueCountFrequency (%)
= 320
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90554
78.4%
Hangul 22941
 
19.9%
Latin 2041
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2364
 
10.3%
ㅇ 1899
 
8.3%
ㅅ 1177
 
5.1%
ㄱ 991
 
4.3%
김 964
 
4.2%
유 953
 
4.2%
이 817
 
3.6%
ㅎ 638
 
2.8%
ㅈ 624
 
2.7%
ㅁ 620
 
2.7%
Other values (611) 11894
51.8%
Latin
ValueCountFrequency (%)
v 1345
65.9%
F 244
 
12.0%
o 43
 
2.1%
O 34
 
1.7%
N 25
 
1.2%
j 25
 
1.2%
s 23
 
1.1%
D 20
 
1.0%
b 19
 
0.9%
c 16
 
0.8%
Other values (37) 247
 
12.1%
Common
ValueCountFrequency (%)
- 13066
14.4%
8 11452
12.6%
1 9806
10.8%
. 8655
9.6%
3 7714
8.5%
2 6919
7.6%
4 6464
7.1%
9 6199
6.8%
5 5794
6.4%
6 5245
5.8%
Other values (6) 9240
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92590
80.1%
Hangul 13866
 
12.0%
Compat Jamo 9075
 
7.9%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 13066
14.1%
8 11452
12.4%
1 9806
10.6%
. 8655
9.3%
3 7714
8.3%
2 6919
7.5%
4 6464
7.0%
9 6199
6.7%
5 5794
6.3%
6 5245
5.7%
Other values (51) 11276
12.2%
Hangul
ValueCountFrequency (%)
아 2364
 
17.0%
김 964
 
7.0%
유 953
 
6.9%
이 817
 
5.9%
박 364
 
2.6%
정 218
 
1.6%
최 212
 
1.5%
한 196
 
1.4%
조 147
 
1.1%
오 146
 
1.1%
Other values (592) 7485
54.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1899
20.9%
ㅅ 1177
13.0%
ㄱ 991
10.9%
ㅎ 638
 
7.0%
ㅈ 624
 
6.9%
ㅁ 620
 
6.8%
ㄴ 606
 
6.7%
ㅂ 582
 
6.4%
ㄷ 505
 
5.6%
ㅊ 450
 
5.0%
Other values (9) 983
10.8%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

서명
Text

Distinct9917
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:27:09.589187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length72
Mean length19.7726
Min length1

Characters and Unicode

Total characters197726
Distinct characters1782
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks15 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9838 ?
Unique (%)98.4%

Sample

1st row(청소년을 위한)양성평등 이야기
2nd row(주말이 기다려지는)행복한 자전거여행: 서울·수도권
3rd row세상을 바꾼 문명 이야기
4th row솔로몬의 지혜
5th row문장부호
ValueCountFrequency (%)
4007
 
7.7%
이야기 368
 
0.7%
장편소설 364
 
0.7%
1 318
 
0.6%
2 308
 
0.6%
위한 192
 
0.4%
내 191
 
0.4%
우리 161
 
0.3%
나는 126
 
0.2%
3 124
 
0.2%
Other values (22393) 45991
88.2%
2024-01-10T06:27:10.019022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43642
 
22.1%
: 4003
 
2.0%
의 3791
 
1.9%
이 3442
 
1.7%
는 2810
 
1.4%
기 1992
 
1.0%
사 1885
 
1.0%
가 1845
 
0.9%
한 1780
 
0.9%
리 1770
 
0.9%
Other values (1772) 130766
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127396
64.4%
Space Separator 43642
 
22.1%
Lowercase Letter 10975
 
5.6%
Other Punctuation 6342
 
3.2%
Decimal Number 3907
 
2.0%
Uppercase Letter 1747
 
0.9%
Close Punctuation 1558
 
0.8%
Open Punctuation 1556
 
0.8%
Math Symbol 460
 
0.2%
Dash Punctuation 96
 
< 0.1%
Other values (6) 47
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3791
 
3.0%
이 3442
 
2.7%
는 2810
 
2.2%
기 1992
 
1.6%
사 1885
 
1.5%
가 1845
 
1.4%
한 1780
 
1.4%
리 1770
 
1.4%
지 1722
 
1.4%
아 1679
 
1.3%
Other values (1646) 104680
82.2%
Lowercase Letter
ValueCountFrequency (%)
e 1285
11.7%
o 1039
 
9.5%
a 912
 
8.3%
n 791
 
7.2%
i 786
 
7.2%
t 753
 
6.9%
r 743
 
6.8%
s 657
 
6.0%
h 516
 
4.7%
l 508
 
4.6%
Other values (25) 2985
27.2%
Uppercase Letter
ValueCountFrequency (%)
T 166
 
9.5%
S 164
 
9.4%
C 120
 
6.9%
A 117
 
6.7%
W 109
 
6.2%
I 97
 
5.6%
P 87
 
5.0%
D 86
 
4.9%
B 84
 
4.8%
M 81
 
4.6%
Other values (18) 636
36.4%
Other Punctuation
ValueCountFrequency (%)
: 4003
63.1%
. 1405
 
22.2%
! 519
 
8.2%
· 200
 
3.2%
' 130
 
2.0%
＆ 22
 
0.3%
& 14
 
0.2%
％ 11
 
0.2%
… 6
 
0.1%
" 6
 
0.1%
Other values (8) 26
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 1012
25.9%
0 702
18.0%
2 683
17.5%
3 395
 
10.1%
5 257
 
6.6%
4 228
 
5.8%
9 180
 
4.6%
6 172
 
4.4%
7 160
 
4.1%
8 118
 
3.0%
Math Symbol
ValueCountFrequency (%)
= 387
84.1%
~ 29
 
6.3%
+ 13
 
2.8%
∼ 12
 
2.6%
< 9
 
2.0%
> 9
 
2.0%
｜ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 8
36.4%
Ⅱ 7
31.8%
Ⅳ 2
 
9.1%
Ⅵ 2
 
9.1%
Ⅹ 1
 
4.5%
Ⅲ 1
 
4.5%
Ⅴ 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 1525
97.9%
] 24
 
1.5%
」 5
 
0.3%
』 2
 
0.1%
〉 1
 
0.1%
》 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1523
97.9%
[ 24
 
1.5%
「 5
 
0.3%
『 2
 
0.1%
〈 1
 
0.1%
《 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
ⓔ 3
50.0%
★ 2
33.3%
│ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
43642
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126416
63.9%
Common 57586
29.1%
Latin 12730
 
6.4%
Han 963
 
0.5%
Cyrillic 14
 
< 0.1%
Hiragana 12
 
< 0.1%
Katakana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3791
 
3.0%
이 3442
 
2.7%
는 2810
 
2.2%
기 1992
 
1.6%
사 1885
 
1.5%
가 1845
 
1.5%
한 1780
 
1.4%
리 1770
 
1.4%
지 1722
 
1.4%
아 1679
 
1.3%
Other values (1276) 103700
82.0%
Han
ValueCountFrequency (%)
山 36
 
3.7%
文 28
 
2.9%
禮 25
 
2.6%
化 20
 
2.1%
國 17
 
1.8%
報 16
 
1.7%
院 16
 
1.7%
大 16
 
1.7%
說 13
 
1.3%
小 12
 
1.2%
Other values (345) 764
79.3%
Latin
ValueCountFrequency (%)
e 1285
 
10.1%
o 1039
 
8.2%
a 912
 
7.2%
n 791
 
6.2%
i 786
 
6.2%
t 753
 
5.9%
r 743
 
5.8%
s 657
 
5.2%
h 516
 
4.1%
l 508
 
4.0%
Other values (51) 4740
37.2%
Common
ValueCountFrequency (%)
43642
75.8%
: 4003
 
7.0%
) 1525
 
2.6%
( 1523
 
2.6%
. 1405
 
2.4%
1 1012
 
1.8%
0 702
 
1.2%
2 683
 
1.2%
! 519
 
0.9%
3 395
 
0.7%
Other values (46) 2177
 
3.8%
Hiragana
ValueCountFrequency (%)
す 2
16.7%
く 2
16.7%
で 1
8.3%
ど 1
8.3%
け 1
8.3%
い 1
8.3%
な 1
8.3%
に 1
8.3%
れ 1
8.3%
こ 1
8.3%
Cyrillic
ValueCountFrequency (%)
к 3
21.4%
с 3
21.4%
а 2
14.3%
и 1
 
7.1%
е 1
 
7.1%
л 1
 
7.1%
я 1
 
7.1%
у 1
 
7.1%
Р 1
 
7.1%
Katakana
ValueCountFrequency (%)
ナ 1
20.0%
ア 1
20.0%
リ 1
20.0%
ュ 1
20.0%
ジ 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126408
63.9%
ASCII 69991
35.4%
CJK 921
 
0.5%
None 265
 
0.1%
CJK Compat Ideographs 42
 
< 0.1%
Number Forms 22
 
< 0.1%
Punctuation 20
 
< 0.1%
Cyrillic 14
 
< 0.1%
Math Operators 12
 
< 0.1%
Hiragana 12
 
< 0.1%
Other values (5) 19
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43642
62.4%
: 4003
 
5.7%
) 1525
 
2.2%
( 1523
 
2.2%
. 1405
 
2.0%
e 1285
 
1.8%
o 1039
 
1.5%
1 1012
 
1.4%
a 912
 
1.3%
n 791
 
1.1%
Other values (74) 12854
 
18.4%
Hangul
ValueCountFrequency (%)
의 3791
 
3.0%
이 3442
 
2.7%
는 2810
 
2.2%
기 1992
 
1.6%
사 1885
 
1.5%
가 1845
 
1.5%
한 1780
 
1.4%
리 1770
 
1.4%
지 1722
 
1.4%
아 1679
 
1.3%
Other values (1271) 103692
82.0%
None
ValueCountFrequency (%)
· 200
75.5%
＆ 22
 
8.3%
％ 11
 
4.2%
「 5
 
1.9%
」 5
 
1.9%
／ 4
 
1.5%
đ 2
 
0.8%
』 2
 
0.8%
『 2
 
0.8%
！ 2
 
0.8%
Other values (9) 10
 
3.8%
CJK
ValueCountFrequency (%)
山 36
 
3.9%
文 28
 
3.0%
化 20
 
2.2%
國 17
 
1.8%
報 16
 
1.7%
院 16
 
1.7%
大 16
 
1.7%
說 13
 
1.4%
小 12
 
1.3%
上 12
 
1.3%
Other values (330) 735
79.8%
CJK Compat Ideographs
ValueCountFrequency (%)
禮 25
59.5%
列 2
 
4.8%
老 2
 
4.8%
李 2
 
4.8%
亂 1
 
2.4%
金 1
 
2.4%
歷 1
 
2.4%
不 1
 
2.4%
參 1
 
2.4%
論 1
 
2.4%
Other values (5) 5
 
11.9%
Math Operators
ValueCountFrequency (%)
∼ 12
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 8
36.4%
Ⅱ 7
31.8%
Ⅳ 2
 
9.1%
Ⅵ 2
 
9.1%
Ⅹ 1
 
4.5%
Ⅲ 1
 
4.5%
Ⅴ 1
 
4.5%
Punctuation
ValueCountFrequency (%)
’ 7
35.0%
‘ 7
35.0%
… 6
30.0%
Cyrillic
ValueCountFrequency (%)
к 3
21.4%
с 3
21.4%
а 2
14.3%
и 1
 
7.1%
е 1
 
7.1%
л 1
 
7.1%
я 1
 
7.1%
у 1
 
7.1%
Р 1
 
7.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 2
25.0%
ㄱ 2
25.0%
ㅋ 2
25.0%
ㅂ 1
12.5%
ㅁ 1
12.5%
Hiragana
ValueCountFrequency (%)
す 2
16.7%
く 2
16.7%
で 1
8.3%
ど 1
8.3%
け 1
8.3%
い 1
8.3%
な 1
8.3%
に 1
8.3%
れ 1
8.3%
こ 1
8.3%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%
Katakana
ValueCountFrequency (%)
ナ 1
20.0%
ア 1
20.0%
リ 1
20.0%
ュ 1
20.0%
ジ 1
20.0%

저작자
Text

Distinct9091
Distinct (%)91.2%
Missing27
Missing (%)0.3%
Memory size156.2 KiB
2024-01-10T06:27:10.291707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length87
Mean length15.376717
Min length2

Characters and Unicode

Total characters153352
Distinct characters1177
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8504 ?
Unique (%)85.3%

Sample

1st row이해진 지음
2nd row김병훈 지음
3rd row김윤정 글 ; 이상미 그림
4th row현길언 지음
5th row난주 글·그림
ValueCountFrequency (%)
7248
 
15.5%
지음 5597
 
12.0%
옮김 3024
 
6.5%
그림 2377
 
5.1%
글 1850
 
4.0%
저 456
 
1.0%
글·그림 366
 
0.8%
공]지음 306
 
0.7%
by 284
 
0.6%
엮음 218
 
0.5%
Other values (13624) 25033
53.5%
2024-01-10T06:27:10.695821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37251
24.3%
; 7245
 
4.7%
지 6804
 
4.4%
음 6266
 
4.1%
김 5488
 
3.6%
옮 3116
 
2.0%
그 3000
 
2.0%
이 2960
 
1.9%
림 2906
 
1.9%
글 2456
 
1.6%
Other values (1167) 75860
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95916
62.5%
Space Separator 37251
 
24.3%
Other Punctuation 8366
 
5.5%
Lowercase Letter 7514
 
4.9%
Uppercase Letter 1540
 
1.0%
Open Punctuation 1323
 
0.9%
Close Punctuation 1321
 
0.9%
Dash Punctuation 44
 
< 0.1%
Decimal Number 42
 
< 0.1%
Math Symbol 30
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6804
 
7.1%
음 6266
 
6.5%
김 5488
 
5.7%
옮 3116
 
3.2%
그 3000
 
3.1%
이 2960
 
3.1%
림 2906
 
3.0%
글 2456
 
2.6%
정 1463
 
1.5%
스 1411
 
1.5%
Other values (1081) 60046
62.6%
Lowercase Letter
ValueCountFrequency (%)
e 868
11.6%
r 683
 
9.1%
a 638
 
8.5%
t 635
 
8.5%
i 560
 
7.5%
n 511
 
6.8%
y 452
 
6.0%
l 452
 
6.0%
o 420
 
5.6%
s 384
 
5.1%
Other values (16) 1911
25.4%
Uppercase Letter
ValueCountFrequency (%)
B 137
 
8.9%
M 124
 
8.1%
S 124
 
8.1%
A 113
 
7.3%
R 107
 
6.9%
H 102
 
6.6%
C 93
 
6.0%
L 81
 
5.3%
K 80
 
5.2%
J 77
 
5.0%
Other values (15) 502
32.6%
Decimal Number
ValueCountFrequency (%)
1 10
23.8%
3 8
19.0%
2 7
16.7%
0 4
 
9.5%
9 3
 
7.1%
8 3
 
7.1%
4 3
 
7.1%
5 2
 
4.8%
7 1
 
2.4%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
; 7245
86.6%
. 598
 
7.1%
· 492
 
5.9%
: 14
 
0.2%
/ 5
 
0.1%
& 5
 
0.1%
＆ 4
 
< 0.1%
' 2
 
< 0.1%
! 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 1311
99.1%
( 7
 
0.5%
〈 4
 
0.3%
『 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 1309
99.1%
) 7
 
0.5%
〉 4
 
0.3%
』 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
▼ 1
33.3%
▲ 1
33.3%
ⓔ 1
33.3%
Math Symbol
ValueCountFrequency (%)
> 15
50.0%
< 15
50.0%
Space Separator
ValueCountFrequency (%)
37251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95644
62.4%
Common 48382
31.5%
Latin 9054
 
5.9%
Han 272
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6804
 
7.1%
음 6266
 
6.6%
김 5488
 
5.7%
옮 3116
 
3.3%
그 3000
 
3.1%
이 2960
 
3.1%
림 2906
 
3.0%
글 2456
 
2.6%
정 1463
 
1.5%
스 1411
 
1.5%
Other values (928) 59774
62.5%
Han
ValueCountFrequency (%)
著 37
 
13.6%
譯 12
 
4.4%
金 9
 
3.3%
共 8
 
2.9%
李 8
 
2.9%
海 4
 
1.5%
子 4
 
1.5%
一 3
 
1.1%
外 3
 
1.1%
編 3
 
1.1%
Other values (143) 181
66.5%
Latin
ValueCountFrequency (%)
e 868
 
9.6%
r 683
 
7.5%
a 638
 
7.0%
t 635
 
7.0%
i 560
 
6.2%
n 511
 
5.6%
y 452
 
5.0%
l 452
 
5.0%
o 420
 
4.6%
s 384
 
4.2%
Other values (41) 3451
38.1%
Common
ValueCountFrequency (%)
37251
77.0%
; 7245
 
15.0%
[ 1311
 
2.7%
] 1309
 
2.7%
. 598
 
1.2%
· 492
 
1.0%
- 44
 
0.1%
> 15
 
< 0.1%
< 15
 
< 0.1%
: 14
 
< 0.1%
Other values (25) 88
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95643
62.4%
ASCII 56927
37.1%
None 506
 
0.3%
CJK 259
 
0.2%
CJK Compat Ideographs 13
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37251
65.4%
; 7245
 
12.7%
[ 1311
 
2.3%
] 1309
 
2.3%
e 868
 
1.5%
r 683
 
1.2%
a 638
 
1.1%
t 635
 
1.1%
. 598
 
1.1%
i 560
 
1.0%
Other values (67) 5829
 
10.2%
Hangul
ValueCountFrequency (%)
지 6804
 
7.1%
음 6266
 
6.6%
김 5488
 
5.7%
옮 3116
 
3.3%
그 3000
 
3.1%
이 2960
 
3.1%
림 2906
 
3.0%
글 2456
 
2.6%
정 1463
 
1.5%
스 1411
 
1.5%
Other values (927) 59773
62.5%
None
ValueCountFrequency (%)
· 492
97.2%
＆ 4
 
0.8%
〉 4
 
0.8%
〈 4
 
0.8%
『 1
 
0.2%
』 1
 
0.2%
CJK
ValueCountFrequency (%)
著 37
 
14.3%
譯 12
 
4.6%
金 9
 
3.5%
共 8
 
3.1%
海 4
 
1.5%
子 4
 
1.5%
一 3
 
1.2%
外 3
 
1.2%
編 3
 
1.2%
錫 3
 
1.2%
Other values (138) 173
66.8%
CJK Compat Ideographs
ValueCountFrequency (%)
李 8
61.5%
烈 2
 
15.4%
林 1
 
7.7%
蓮 1
 
7.7%
魯 1
 
7.7%
Geometric Shapes
ValueCountFrequency (%)
▼ 1
50.0%
▲ 1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

발행자
Text

Distinct3132
Distinct (%)31.3%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2024-01-10T06:27:10.947968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length35
Mean length4.8334334
Min length1

Characters and Unicode

Total characters48315
Distinct characters809
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1771 ?
Unique (%)17.7%

Sample

1st row파라주니어
2nd row터치아트
3rd row산하
4th row조이웍스
5th row고래뱃속
ValueCountFrequency (%)
문학동네 173
 
1.7%
창비 143
 
1.4%
비룡소 107
 
1.0%
민음사 88
 
0.8%
사계절 74
 
0.7%
김영사 69
 
0.7%
문학과지성사 68
 
0.7%
위즈덤하우스 59
 
0.6%
시공사 58
 
0.6%
21세기북스 54
 
0.5%
Other values (3202) 9532
91.4%
2024-01-10T06:27:11.296656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1547
 
3.2%
스 1528
 
3.2%
북 1140
 
2.4%
이 1124
 
2.3%
문 943
 
2.0%
어 905
 
1.9%
아 713
 
1.5%
: 685
 
1.4%
학 653
 
1.4%
리 608
 
1.3%
Other values (799) 38469
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41419
85.7%
Lowercase Letter 3824
 
7.9%
Uppercase Letter 1292
 
2.7%
Other Punctuation 782
 
1.6%
Space Separator 437
 
0.9%
Open Punctuation 197
 
0.4%
Close Punctuation 197
 
0.4%
Decimal Number 157
 
0.3%
Dash Punctuation 8
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1547
 
3.7%
스 1528
 
3.7%
북 1140
 
2.8%
이 1124
 
2.7%
문 943
 
2.3%
어 905
 
2.2%
아 713
 
1.7%
학 653
 
1.6%
리 608
 
1.5%
미 543
 
1.3%
Other values (722) 31715
76.6%
Lowercase Letter
ValueCountFrequency (%)
o 515
13.5%
s 390
10.2%
r 365
9.5%
e 338
 
8.8%
i 318
 
8.3%
n 256
 
6.7%
a 233
 
6.1%
t 173
 
4.5%
l 169
 
4.4%
k 155
 
4.1%
Other values (17) 912
23.8%
Uppercase Letter
ValueCountFrequency (%)
B 180
13.9%
P 113
 
8.7%
H 110
 
8.5%
M 92
 
7.1%
S 90
 
7.0%
R 84
 
6.5%
K 71
 
5.5%
O 70
 
5.4%
C 52
 
4.0%
U 49
 
3.8%
Other values (15) 381
29.5%
Other Punctuation
ValueCountFrequency (%)
: 685
87.6%
＆ 28
 
3.6%
& 19
 
2.4%
· 15
 
1.9%
. 14
 
1.8%
' 12
 
1.5%
; 4
 
0.5%
# 3
 
0.4%
@ 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 71
45.2%
2 67
42.7%
0 5
 
3.2%
6 4
 
2.5%
3 4
 
2.5%
8 2
 
1.3%
4 2
 
1.3%
5 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 191
97.0%
[ 6
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 191
97.0%
] 6
 
3.0%
Space Separator
ValueCountFrequency (%)
437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41221
85.3%
Latin 5116
 
10.6%
Common 1780
 
3.7%
Han 198
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1547
 
3.8%
스 1528
 
3.7%
북 1140
 
2.8%
이 1124
 
2.7%
문 943
 
2.3%
어 905
 
2.2%
아 713
 
1.7%
학 653
 
1.6%
리 608
 
1.5%
미 543
 
1.3%
Other values (643) 31517
76.5%
Han
ValueCountFrequency (%)
社 20
 
10.1%
文 13
 
6.6%
版 13
 
6.6%
出 12
 
6.1%
大 8
 
4.0%
人 5
 
2.5%
明 4
 
2.0%
書 4
 
2.0%
堂 4
 
2.0%
民 4
 
2.0%
Other values (69) 111
56.1%
Latin
ValueCountFrequency (%)
o 515
 
10.1%
s 390
 
7.6%
r 365
 
7.1%
e 338
 
6.6%
i 318
 
6.2%
n 256
 
5.0%
a 233
 
4.6%
B 180
 
3.5%
t 173
 
3.4%
l 169
 
3.3%
Other values (42) 2179
42.6%
Common
ValueCountFrequency (%)
: 685
38.5%
437
24.6%
( 191
 
10.7%
) 191
 
10.7%
1 71
 
4.0%
2 67
 
3.8%
＆ 28
 
1.6%
& 19
 
1.1%
· 15
 
0.8%
. 14
 
0.8%
Other values (15) 62
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41221
85.3%
ASCII 6851
 
14.2%
CJK 198
 
0.4%
None 45
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1547
 
3.8%
스 1528
 
3.7%
북 1140
 
2.8%
이 1124
 
2.7%
문 943
 
2.3%
어 905
 
2.2%
아 713
 
1.7%
학 653
 
1.6%
리 608
 
1.5%
미 543
 
1.3%
Other values (643) 31517
76.5%
ASCII
ValueCountFrequency (%)
: 685
 
10.0%
o 515
 
7.5%
437
 
6.4%
s 390
 
5.7%
r 365
 
5.3%
e 338
 
4.9%
i 318
 
4.6%
n 256
 
3.7%
a 233
 
3.4%
( 191
 
2.8%
Other values (64) 3123
45.6%
None
ValueCountFrequency (%)
＆ 28
62.2%
· 15
33.3%
đ 2
 
4.4%
CJK
ValueCountFrequency (%)
社 20
 
10.1%
文 13
 
6.6%
版 13
 
6.6%
出 12
 
6.1%
大 8
 
4.0%
人 5
 
2.5%
明 4
 
2.0%
書 4
 
2.0%
堂 4
 
2.0%
民 4
 
2.0%
Other values (69) 111
56.1%

발행년
Text

Distinct62
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-01-10T06:27:11.446100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.0083017
Min length3

Characters and Unicode

Total characters40075
Distinct characters26
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row2016
2nd row2009
3rd row2013
4th row2010
5th row2017
ValueCountFrequency (%)
2014 976
 
9.8%
2013 932
 
9.3%
2012 894
 
8.9%
2011 798
 
8.0%
2018 642
 
6.4%
2016 641
 
6.4%
2017 568
 
5.7%
2015 519
 
5.2%
2020 480
 
4.8%
2019 458
 
4.6%
Other values (49) 3091
30.9%
2024-01-10T06:27:11.686713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12864
32.1%
2 11447
28.6%
1 8372
20.9%
9 1437
 
3.6%
3 1378
 
3.4%
4 1260
 
3.1%
5 849
 
2.1%
8 833
 
2.1%
6 829
 
2.1%
7 717
 
1.8%
Other values (16) 89
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39986
99.8%
Other Letter 33
 
0.1%
Open Punctuation 26
 
0.1%
Close Punctuation 26
 
0.1%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12864
32.2%
2 11447
28.6%
1 8372
20.9%
9 1437
 
3.6%
3 1378
 
3.4%
4 1260
 
3.2%
5 849
 
2.1%
8 833
 
2.1%
6 829
 
2.1%
7 717
 
1.8%
Other Letter
ValueCountFrequency (%)
년 7
21.2%
미 5
15.2%
상 5
15.2%
행 5
15.2%
발 5
15.2%
단 2
 
6.1%
기 2
 
6.1%
佛 1
 
3.0%
紀 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
[ 25
96.2%
( 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
] 25
96.2%
) 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40041
99.9%
Hangul 31
 
0.1%
Han 2
 
< 0.1%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12864
32.1%
2 11447
28.6%
1 8372
20.9%
9 1437
 
3.6%
3 1378
 
3.4%
4 1260
 
3.1%
5 849
 
2.1%
8 833
 
2.1%
6 829
 
2.1%
7 717
 
1.8%
Other values (6) 55
 
0.1%
Hangul
ValueCountFrequency (%)
년 7
22.6%
미 5
16.1%
상 5
16.1%
행 5
16.1%
발 5
16.1%
단 2
 
6.5%
기 2
 
6.5%
Han
ValueCountFrequency (%)
佛 1
50.0%
紀 1
50.0%
Latin
ValueCountFrequency (%)
c 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40042
99.9%
Hangul 31
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12864
32.1%
2 11447
28.6%
1 8372
20.9%
9 1437
 
3.6%
3 1378
 
3.4%
4 1260
 
3.1%
5 849
 
2.1%
8 833
 
2.1%
6 829
 
2.1%
7 717
 
1.8%
Other values (7) 56
 
0.1%
Hangul
ValueCountFrequency (%)
년 7
22.6%
미 5
16.1%
상 5
16.1%
행 5
16.1%
발 5
16.1%
단 2
 
6.5%
기 2
 
6.5%
CJK
ValueCountFrequency (%)
佛 1
50.0%
紀 1
50.0%

가격
Text

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:27:11.915719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.6892
Min length1

Characters and Unicode

Total characters46892
Distinct characters11
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

Unique64 ?
Unique (%)0.6%

Sample

1st row12000
2nd row15000
3rd row11000
4th row13000
5th row12000
ValueCountFrequency (%)
12000 1194
 
11.9%
13000 835
 
8.3%
15000 782
 
7.8%
10000 691
 
6.9%
11000 548
 
5.5%
9000 416
 
4.2%
14000 415
 
4.2%
8000 338
 
3.4%
9500 301
 
3.0%
16000 279
 
2.8%
Other values (186) 4201
42.0%
2024-01-10T06:27:12.245995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27558
58.8%
1 7400
 
15.8%
5 2606
 
5.6%
8 2250
 
4.8%
2 2141
 
4.6%
3 1380
 
2.9%
9 1301
 
2.8%
4 835
 
1.8%
7 761
 
1.6%
6 657
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46889
> 99.9%
Other Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27558
58.8%
1 7400
 
15.8%
5 2606
 
5.6%
8 2250
 
4.8%
2 2141
 
4.6%
3 1380
 
2.9%
9 1301
 
2.8%
4 835
 
1.8%
7 761
 
1.6%
6 657
 
1.4%
Other Letter
ValueCountFrequency (%)
책 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46889
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27558
58.8%
1 7400
 
15.8%
5 2606
 
5.6%
8 2250
 
4.8%
2 2141
 
4.6%
3 1380
 
2.9%
9 1301
 
2.8%
4 835
 
1.8%
7 761
 
1.6%
6 657
 
1.4%
Hangul
ValueCountFrequency (%)
책 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46889
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27558
58.8%
1 7400
 
15.8%
5 2606
 
5.6%
8 2250
 
4.8%
2 2141
 
4.6%
3 1380
 
2.9%
9 1301
 
2.8%
4 835
 
1.8%
7 761
 
1.6%
6 657
 
1.4%
Hangul
ValueCountFrequency (%)
책 3
100.0%

분관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
예산군립도서관
8226 
삽교도서관
1774 

Length

Max length7
Median length7
Mean length6.6452
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예산군립도서관 8226
82.3%
삽교도서관 1774
 
17.7%

Length

2024-01-10T06:27:12.359432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:27:12.437220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예산군립도서관 8226
82.3%
삽교도서관 1774
 
17.7%

Interactions

2024-01-10T06:27:07.566854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:27:12.483109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년분관
연번1.0000.9000.994
발행년0.9001.0000.982
분관0.9940.9821.000
2024-01-10T06:27:12.551116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분관
연번1.0000.930
분관0.9301.000

Missing values

2024-01-10T06:27:07.678398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:27:07.788296image/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.
2024-01-10T06:27:07.882277image/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

연번등록번호청구기호서명저작자발행자발행년가격분관
2302323024YM0000023715337.2-이93ㅇ(청소년을 위한)양성평등 이야기이해진 지음파라주니어201612000예산군립도서관
1329213293YM0000013675981.102-김44ㅎ(주말이 기다려지는)행복한 자전거여행: 서울·수도권김병훈 지음터치아트200915000예산군립도서관
4310543106KM0000008023아082-지58ㅅ-14세상을 바꾼 문명 이야기김윤정 글 ; 이상미 그림산하201311000예산군립도서관
839840YM0000000860233.38-현18ㅅ솔로몬의 지혜현길언 지음조이웍스201013000예산군립도서관
5388653887KM0000019758유813.8-난76ㅁ문장부호난주 글·그림고래뱃속201712000예산군립도서관
1846118462YM0000019071410-루198ㅅ수학 오디세이앤 루니 지음 ; 문수인 옮김돋을새김201416000예산군립도서관
6975469755EM0000017419818-김17ㅍ팥쥐 엄마는 없다김금희 지음 ; 강을순 그림친구미디어20038500삽교도서관
4379843799KM0000008857아909-제23ㄱ-2진시황과 중국의 통일정현구 글 ; 이인섭 그림주니어김영사201013000예산군립도서관
4172441725KM0000006404유813.8-보298ㄲ꼬물꼬물 누굴까보린 글 ; 이선주 그림사파리20129000예산군립도서관
1273912740YM0000013103863-베297ㅈ-v.2제3인류. 2베르나르 베르베르 지음 ; 이세욱 옮김열린책들201313800예산군립도서관
연번등록번호청구기호서명저작자발행자발행년가격분관
2496624967YM0000025679594.62-김45ㅁ매일 건강한 아이 밥상 : 하루 세 끼 맛있어서 잘 먹는 영양 가득 아이 밥상김보은 안소현 [공]지음소울하우스201715000예산군립도서관
7318273183EM0000021535892.8-고29ㅇ어머니막심 고리키 지음 ; 김현택 옮김범우사200413000삽교도서관
3766637667YM0000053843특814.7-장64ㅅ살아온 기적 살아갈 기적 : 장영희 에세이장영희 지음샘터20170예산군립도서관
2997729978YM0000030708325.5-김54ㅇ왜 당신만 못 파는가 : 3개월 만에 완성하는 저비용 고효율 온라인 마케팅 전략김선진 지음라온북201913800예산군립도서관
34943495YM0000003579818-이12ㄴ너의 앉은 그 자리가 바로 꽃자리니라 : 청춘에게 들려주는 옛이야기이강엽 지음랜덤하우스코리아201112000예산군립도서관
6778867789EM0000012927711.27-최54하한국은 일본의 언어 식민지이다최성철 지음문무사200111000삽교도서관
3879438795KM0000001391아823.5-나15ㅅ-v.7(만화)삼국지. 7: 가자 서촉으로나관중 원작 ; 이문열 평역 ; 이희재 만화미래엔:아이세움20118500예산군립도서관
4694646947KM0000012355유380.911-자292ㅁ-v.9(세계문화유산)우리 풍어제김상수 글 ; 배진희 그림마루벌201311000예산군립도서관
2810228103YM0000028830005.5077-길44ㅇITQ OA master : 2019 시나공 : 엑셀·한글·파워포인트 2010 사용자용길벗알앤디 강윤석 김용갑 김우경 김종일 지음길벗R＆D201927000예산군립도서관
5876858769KM0000024876유808.91-숨56ㅅ-9멋진 대장!이주현 글 ; 남난주 그림숨쉬는책공장201912000예산군립도서관