Overview

Dataset statistics

Number of variables7
Number of observations2856
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory161.9 KiB
Average record size in memory58.0 B

Variable types

Numeric2
Text5

Dataset

Description신착자료 정보(서명, 저자, 발행년도 등 서지사항)) 제공
Author경상북도교육청 경상북도교육청정보센터
URLhttps://www.data.go.kr/data/15052861/fileData.do

Alerts

No. has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:52:54.014213
Analysis finished2023-12-12 17:52:56.181279
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No.
Real number (ℝ)

UNIQUE 

Distinct2856
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1428.5
Minimum1
Maximum2856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.2 KiB
2023-12-13T02:52:56.249545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile143.75
Q1714.75
median1428.5
Q32142.25
95-th percentile2713.25
Maximum2856
Range2855
Interquartile range (IQR)1427.5

Descriptive statistics

Standard deviation824.60051
Coefficient of variation (CV)0.57724922
Kurtosis-1.2
Mean1428.5
Median Absolute Deviation (MAD)714
Skewness0
Sum4079796
Variance679966
MonotonicityStrictly increasing
2023-12-13T02:52:56.406747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1920 1
 
< 0.1%
1900 1
 
< 0.1%
1901 1
 
< 0.1%
1902 1
 
< 0.1%
1903 1
 
< 0.1%
1904 1
 
< 0.1%
1905 1
 
< 0.1%
1906 1
 
< 0.1%
1907 1
 
< 0.1%
Other values (2846) 2846
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2856 1
< 0.1%
2855 1
< 0.1%
2854 1
< 0.1%
2853 1
< 0.1%
2852 1
< 0.1%
2851 1
< 0.1%
2850 1
< 0.1%
2849 1
< 0.1%
2848 1
< 0.1%
2847 1
< 0.1%

등록번호
Text

UNIQUE 

Distinct2856
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.4 KiB
2023-12-13T02:52:56.798461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters25704
Distinct characters12
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

Unique2856 ?
Unique (%)100.0%

Sample

1st rowEM0229982
2nd rowEM0229983
3rd rowEM0229984
4th rowEM0229985
5th rowEM0229986
ValueCountFrequency (%)
em0229982 1
 
< 0.1%
em0231897 1
 
< 0.1%
em0231878 1
 
< 0.1%
em0231879 1
 
< 0.1%
em0231888 1
 
< 0.1%
em0231880 1
 
< 0.1%
em0231881 1
 
< 0.1%
em0231882 1
 
< 0.1%
em0231883 1
 
< 0.1%
em0231884 1
 
< 0.1%
Other values (2846) 2846
99.6%
2023-12-13T02:52:57.283074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4834
18.8%
2 4465
17.4%
3 3652
14.2%
M 2912
11.3%
E 2800
10.9%
1 1977
7.7%
5 876
 
3.4%
6 876
 
3.4%
4 875
 
3.4%
7 858
 
3.3%
Other values (2) 1579
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19992
77.8%
Uppercase Letter 5712
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4834
24.2%
2 4465
22.3%
3 3652
18.3%
1 1977
9.9%
5 876
 
4.4%
6 876
 
4.4%
4 875
 
4.4%
7 858
 
4.3%
9 803
 
4.0%
8 776
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
M 2912
51.0%
E 2800
49.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19992
77.8%
Latin 5712
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4834
24.2%
2 4465
22.3%
3 3652
18.3%
1 1977
9.9%
5 876
 
4.4%
6 876
 
4.4%
4 875
 
4.4%
7 858
 
4.3%
9 803
 
4.0%
8 776
 
3.9%
Latin
ValueCountFrequency (%)
M 2912
51.0%
E 2800
49.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4834
18.8%
2 4465
17.4%
3 3652
14.2%
M 2912
11.3%
E 2800
10.9%
1 1977
7.7%
5 876
 
3.4%
6 876
 
3.4%
4 875
 
3.4%
7 858
 
3.3%
Other values (2) 1579
 
6.1%

서명
Text

Distinct1965
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size22.4 KiB
2023-12-13T02:52:57.738145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length59.5
Mean length24.964986
Min length2

Characters and Unicode

Total characters71300
Distinct characters1141
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1104 ?
Unique (%)38.7%

Sample

1st row1930, 경성 설렁탕
2nd row1930, 경성 설렁탕
3rd row2019 트렌드 노트 :생활 변화 관찰기
4th row3개월 사용법이 인생을 바꾼다
5th row(Hello coding) 한입에 쏙 파이썬 :크리에이터 김왼손의 쉽고 빠른 파이썬 강의
ValueCountFrequency (%)
이야기 119
 
0.7%
장편소설 109
 
0.6%
위한 92
 
0.5%
내 90
 
0.5%
우리 71
 
0.4%
2 70
 
0.4%
나는 65
 
0.4%
1 54
 
0.3%
여행 52
 
0.3%
어떻게 49
 
0.3%
Other values (7496) 16982
95.7%
2023-12-13T02:52:58.388976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16484
 
23.1%
: 1506
 
2.1%
의 1401
 
2.0%
이 1295
 
1.8%
는 1125
 
1.6%
가 711
 
1.0%
기 706
 
1.0%
다 684
 
1.0%
리 639
 
0.9%
한 628
 
0.9%
Other values (1131) 46121
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46967
65.9%
Space Separator 16484
 
23.1%
Other Punctuation 2795
 
3.9%
Lowercase Letter 2265
 
3.2%
Decimal Number 1289
 
1.8%
Close Punctuation 435
 
0.6%
Open Punctuation 435
 
0.6%
Uppercase Letter 412
 
0.6%
Math Symbol 152
 
0.2%
Dash Punctuation 62
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1401
 
3.0%
이 1295
 
2.8%
는 1125
 
2.4%
가 711
 
1.5%
기 706
 
1.5%
다 684
 
1.5%
리 639
 
1.4%
한 628
 
1.3%
지 621
 
1.3%
사 592
 
1.3%
Other values (1040) 38565
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 252
11.1%
a 207
 
9.1%
o 203
 
9.0%
r 183
 
8.1%
n 158
 
7.0%
i 154
 
6.8%
l 149
 
6.6%
t 131
 
5.8%
s 118
 
5.2%
y 89
 
3.9%
Other values (16) 621
27.4%
Uppercase Letter
ValueCountFrequency (%)
B 56
13.6%
S 41
 
10.0%
A 30
 
7.3%
T 28
 
6.8%
D 24
 
5.8%
C 22
 
5.3%
E 21
 
5.1%
I 20
 
4.9%
N 18
 
4.4%
M 18
 
4.4%
Other values (16) 134
32.5%
Other Punctuation
ValueCountFrequency (%)
: 1506
53.9%
, 522
 
18.7%
. 241
 
8.6%
! 186
 
6.7%
? 170
 
6.1%
' 75
 
2.7%
· 71
 
2.5%
" 8
 
0.3%
% 6
 
0.2%
& 5
 
0.2%
Other values (2) 5
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 333
25.8%
0 286
22.2%
2 201
15.6%
3 112
 
8.7%
5 96
 
7.4%
9 81
 
6.3%
4 71
 
5.5%
8 38
 
2.9%
6 37
 
2.9%
7 34
 
2.6%
Math Symbol
ValueCountFrequency (%)
= 119
78.3%
~ 22
 
14.5%
< 5
 
3.3%
> 5
 
3.3%
+ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 367
84.4%
] 61
 
14.0%
』 6
 
1.4%
》 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 367
84.4%
[ 61
 
14.0%
『 6
 
1.4%
《 1
 
0.2%
Space Separator
ValueCountFrequency (%)
16484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Number
ValueCountFrequency (%)
½ 2
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46923
65.8%
Common 21656
30.4%
Latin 2677
 
3.8%
Han 39
 
0.1%
Katakana 4
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1401
 
3.0%
이 1295
 
2.8%
는 1125
 
2.4%
가 711
 
1.5%
기 706
 
1.5%
다 684
 
1.5%
리 639
 
1.4%
한 628
 
1.3%
지 621
 
1.3%
사 592
 
1.3%
Other values (1009) 38521
82.1%
Latin
ValueCountFrequency (%)
e 252
 
9.4%
a 207
 
7.7%
o 203
 
7.6%
r 183
 
6.8%
n 158
 
5.9%
i 154
 
5.8%
l 149
 
5.6%
t 131
 
4.9%
s 118
 
4.4%
y 89
 
3.3%
Other values (42) 1033
38.6%
Common
ValueCountFrequency (%)
16484
76.1%
: 1506
 
7.0%
, 522
 
2.4%
) 367
 
1.7%
( 367
 
1.7%
1 333
 
1.5%
0 286
 
1.3%
. 241
 
1.1%
2 201
 
0.9%
! 186
 
0.9%
Other values (29) 1163
 
5.4%
Han
ValueCountFrequency (%)
行 3
 
7.7%
日 3
 
7.7%
城 3
 
7.7%
京 3
 
7.7%
漢 2
 
5.1%
宇 2
 
5.1%
宙 2
 
5.1%
偵 2
 
5.1%
探 2
 
5.1%
新 1
 
2.6%
Other values (16) 16
41.0%
Katakana
ValueCountFrequency (%)
デ 1
25.0%
ィ 1
25.0%
テ 1
25.0%
ル 1
25.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46920
65.8%
ASCII 24240
34.0%
None 87
 
0.1%
CJK 39
 
0.1%
Punctuation 4
 
< 0.1%
Katakana 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Misc Symbols 2
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16484
68.0%
: 1506
 
6.2%
, 522
 
2.2%
) 367
 
1.5%
( 367
 
1.5%
1 333
 
1.4%
0 286
 
1.2%
e 252
 
1.0%
. 241
 
1.0%
a 207
 
0.9%
Other values (73) 3675
 
15.2%
Hangul
ValueCountFrequency (%)
의 1401
 
3.0%
이 1295
 
2.8%
는 1125
 
2.4%
가 711
 
1.5%
기 706
 
1.5%
다 684
 
1.5%
리 639
 
1.4%
한 628
 
1.3%
지 621
 
1.3%
사 592
 
1.3%
Other values (1007) 38518
82.1%
None
ValueCountFrequency (%)
· 71
81.6%
『 6
 
6.9%
』 6
 
6.9%
½ 2
 
2.3%
《 1
 
1.1%
》 1
 
1.1%
Punctuation
ValueCountFrequency (%)
… 4
100.0%
CJK
ValueCountFrequency (%)
行 3
 
7.7%
日 3
 
7.7%
城 3
 
7.7%
京 3
 
7.7%
漢 2
 
5.1%
宇 2
 
5.1%
宙 2
 
5.1%
偵 2
 
5.1%
探 2
 
5.1%
新 1
 
2.6%
Other values (16) 16
41.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
66.7%
ㆍ 1
33.3%
Katakana
ValueCountFrequency (%)
デ 1
25.0%
ィ 1
25.0%
テ 1
25.0%
ル 1
25.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

저자
Text

Distinct1796
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size22.4 KiB
2023-12-13T02:52:58.742555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length7.2993697
Min length2

Characters and Unicode

Total characters20847
Distinct characters669
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique981 ?
Unique (%)34.3%

Sample

1st row조은경 지음
2nd row조은경 지음
3rd row김정구
4th row사사키 다이스케 지음
5th row김왼손
ValueCountFrequency (%)
지음 1639
 
24.7%
글 600
 
9.0%
글·그림 134
 
2.0%
감독 50
 
0.8%
원작 20
 
0.3%
글.그림 17
 
0.3%
엮음 17
 
0.3%
그림 13
 
0.2%
외 13
 
0.2%
이빈 12
 
0.2%
Other values (2333) 4128
62.1%
2023-12-13T02:52:59.310949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3787
 
18.2%
지 1769
 
8.5%
음 1665
 
8.0%
글 800
 
3.8%
이 450
 
2.2%
김 361
 
1.7%
스 347
 
1.7%
리 265
 
1.3%
그 225
 
1.1%
미 216
 
1.0%
Other values (659) 10962
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16491
79.1%
Space Separator 3787
 
18.2%
Other Punctuation 248
 
1.2%
Uppercase Letter 135
 
0.6%
Lowercase Letter 82
 
0.4%
Close Punctuation 33
 
0.2%
Open Punctuation 33
 
0.2%
Decimal Number 26
 
0.1%
Math Symbol 8
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1769
 
10.7%
음 1665
 
10.1%
글 800
 
4.9%
이 450
 
2.7%
김 361
 
2.2%
스 347
 
2.1%
리 265
 
1.6%
그 225
 
1.4%
미 216
 
1.3%
정 212
 
1.3%
Other values (593) 10181
61.7%
Lowercase Letter
ValueCountFrequency (%)
o 9
 
11.0%
a 8
 
9.8%
r 8
 
9.8%
m 6
 
7.3%
i 6
 
7.3%
n 6
 
7.3%
h 4
 
4.9%
p 4
 
4.9%
e 4
 
4.9%
d 3
 
3.7%
Other values (11) 24
29.3%
Uppercase Letter
ValueCountFrequency (%)
K 22
16.3%
D 12
 
8.9%
M 12
 
8.9%
S 10
 
7.4%
B 10
 
7.4%
R 8
 
5.9%
C 6
 
4.4%
H 6
 
4.4%
L 6
 
4.4%
I 5
 
3.7%
Other values (10) 38
28.1%
Decimal Number
ValueCountFrequency (%)
2 5
19.2%
6 4
15.4%
1 4
15.4%
7 4
15.4%
5 3
11.5%
0 2
 
7.7%
3 2
 
7.7%
9 1
 
3.8%
8 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
· 156
62.9%
. 64
25.8%
, 19
 
7.7%
: 7
 
2.8%
@ 2
 
0.8%
Close Punctuation
ValueCountFrequency (%)
] 29
87.9%
』 2
 
6.1%
) 2
 
6.1%
Open Punctuation
ValueCountFrequency (%)
[ 29
87.9%
『 2
 
6.1%
( 2
 
6.1%
Math Symbol
ValueCountFrequency (%)
< 4
50.0%
> 4
50.0%
Space Separator
ValueCountFrequency (%)
3787
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Number
ValueCountFrequency (%)
½ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16472
79.0%
Common 4139
 
19.9%
Latin 217
 
1.0%
Katakana 16
 
0.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1769
 
10.7%
음 1665
 
10.1%
글 800
 
4.9%
이 450
 
2.7%
김 361
 
2.2%
스 347
 
2.1%
리 265
 
1.6%
그 225
 
1.4%
미 216
 
1.3%
정 212
 
1.3%
Other values (576) 10162
61.7%
Latin
ValueCountFrequency (%)
K 22
 
10.1%
D 12
 
5.5%
M 12
 
5.5%
S 10
 
4.6%
B 10
 
4.6%
o 9
 
4.1%
a 8
 
3.7%
R 8
 
3.7%
r 8
 
3.7%
m 6
 
2.8%
Other values (31) 112
51.6%
Common
ValueCountFrequency (%)
3787
91.5%
· 156
 
3.8%
. 64
 
1.5%
] 29
 
0.7%
[ 29
 
0.7%
, 19
 
0.5%
: 7
 
0.2%
2 5
 
0.1%
6 4
 
0.1%
< 4
 
0.1%
Other values (15) 35
 
0.8%
Katakana
ValueCountFrequency (%)
ジ 2
12.5%
ン 2
12.5%
マ 1
 
6.2%
ガ 1
 
6.2%
ラ 1
 
6.2%
メ 1
 
6.2%
カ 1
 
6.2%
ル 1
 
6.2%
タ 1
 
6.2%
デ 1
 
6.2%
Other values (4) 4
25.0%
Han
ValueCountFrequency (%)
部 1
33.3%
集 1
33.3%
編 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16472
79.0%
ASCII 4194
 
20.1%
None 162
 
0.8%
Katakana 16
 
0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3787
90.3%
. 64
 
1.5%
] 29
 
0.7%
[ 29
 
0.7%
K 22
 
0.5%
, 19
 
0.5%
D 12
 
0.3%
M 12
 
0.3%
S 10
 
0.2%
B 10
 
0.2%
Other values (52) 200
 
4.8%
Hangul
ValueCountFrequency (%)
지 1769
 
10.7%
음 1665
 
10.1%
글 800
 
4.9%
이 450
 
2.7%
김 361
 
2.2%
스 347
 
2.1%
리 265
 
1.6%
그 225
 
1.4%
미 216
 
1.3%
정 212
 
1.3%
Other values (576) 10162
61.7%
None
ValueCountFrequency (%)
· 156
96.3%
½ 2
 
1.2%
』 2
 
1.2%
『 2
 
1.2%
Katakana
ValueCountFrequency (%)
ジ 2
12.5%
ン 2
12.5%
マ 1
 
6.2%
ガ 1
 
6.2%
ラ 1
 
6.2%
メ 1
 
6.2%
カ 1
 
6.2%
ル 1
 
6.2%
タ 1
 
6.2%
デ 1
 
6.2%
Other values (4) 4
25.0%
CJK
ValueCountFrequency (%)
部 1
33.3%
集 1
33.3%
編 1
33.3%

출판사
Text

Distinct969
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size22.4 KiB
2023-12-13T02:52:59.699836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length4.7902661
Min length1

Characters and Unicode

Total characters13681
Distinct characters569
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

Unique401 ?
Unique (%)14.0%

Sample

1st row머스트비
2nd row머스트비
3rd row북스톤
4th row에밀
5th row한빛미디어
ValueCountFrequency (%)
문학동네 61
 
2.0%
창비 53
 
1.8%
위즈덤하우스 35
 
1.2%
사계절 31
 
1.0%
문학과지성사 25
 
0.8%
21세기북스 25
 
0.8%
김영사 24
 
0.8%
시공주니어 23
 
0.8%
books 22
 
0.7%
비룡소 22
 
0.7%
Other values (1002) 2702
89.4%
2023-12-13T02:53:00.269685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 566
 
4.1%
북 420
 
3.1%
이 381
 
2.8%
사 365
 
2.7%
어 283
 
2.1%
아 226
 
1.7%
문 208
 
1.5%
리 188
 
1.4%
비 181
 
1.3%
o 181
 
1.3%
Other values (559) 10682
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11789
86.2%
Lowercase Letter 885
 
6.5%
Uppercase Letter 393
 
2.9%
Space Separator 167
 
1.2%
Close Punctuation 151
 
1.1%
Open Punctuation 151
 
1.1%
Decimal Number 104
 
0.8%
Other Punctuation 39
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 566
 
4.8%
북 420
 
3.6%
이 381
 
3.2%
사 365
 
3.1%
어 283
 
2.4%
아 226
 
1.9%
문 208
 
1.8%
리 188
 
1.6%
비 181
 
1.5%
니 158
 
1.3%
Other values (492) 8813
74.8%
Lowercase Letter
ValueCountFrequency (%)
o 181
20.5%
e 91
10.3%
s 89
10.1%
k 72
 
8.1%
a 67
 
7.6%
r 54
 
6.1%
n 44
 
5.0%
t 44
 
5.0%
i 36
 
4.1%
l 34
 
3.8%
Other values (15) 173
19.5%
Uppercase Letter
ValueCountFrequency (%)
B 67
17.0%
K 39
9.9%
C 35
 
8.9%
H 31
 
7.9%
R 31
 
7.9%
M 26
 
6.6%
A 22
 
5.6%
O 17
 
4.3%
W 16
 
4.1%
I 15
 
3.8%
Other values (15) 94
23.9%
Other Punctuation
ValueCountFrequency (%)
& 16
41.0%
: 9
23.1%
. 6
 
15.4%
# 3
 
7.7%
· 3
 
7.7%
＆ 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
2 47
45.2%
1 44
42.3%
6 6
 
5.8%
0 6
 
5.8%
3 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 150
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 150
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11788
86.2%
Latin 1278
 
9.3%
Common 614
 
4.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 566
 
4.8%
북 420
 
3.6%
이 381
 
3.2%
사 365
 
3.1%
어 283
 
2.4%
아 226
 
1.9%
문 208
 
1.8%
리 188
 
1.6%
비 181
 
1.5%
니 158
 
1.3%
Other values (491) 8812
74.8%
Latin
ValueCountFrequency (%)
o 181
 
14.2%
e 91
 
7.1%
s 89
 
7.0%
k 72
 
5.6%
B 67
 
5.2%
a 67
 
5.2%
r 54
 
4.2%
n 44
 
3.4%
t 44
 
3.4%
K 39
 
3.1%
Other values (40) 530
41.5%
Common
ValueCountFrequency (%)
167
27.2%
) 150
24.4%
( 150
24.4%
2 47
 
7.7%
1 44
 
7.2%
& 16
 
2.6%
: 9
 
1.5%
6 6
 
1.0%
. 6
 
1.0%
0 6
 
1.0%
Other values (7) 13
 
2.1%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11788
86.2%
ASCII 1887
 
13.8%
None 5
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 566
 
4.8%
북 420
 
3.6%
이 381
 
3.2%
사 365
 
3.1%
어 283
 
2.4%
아 226
 
1.9%
문 208
 
1.8%
리 188
 
1.6%
비 181
 
1.5%
니 158
 
1.3%
Other values (491) 8812
74.8%
ASCII
ValueCountFrequency (%)
o 181
 
9.6%
167
 
8.9%
) 150
 
7.9%
( 150
 
7.9%
e 91
 
4.8%
s 89
 
4.7%
k 72
 
3.8%
B 67
 
3.6%
a 67
 
3.6%
r 54
 
2.9%
Other values (55) 799
42.3%
None
ValueCountFrequency (%)
· 3
60.0%
＆ 2
40.0%
CJK
ValueCountFrequency (%)
休 1
100.0%

출판년
Real number (ℝ)

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.3172
Minimum2002
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.2 KiB
2023-12-13T02:53:00.412956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2017
Q12018
median2019
Q32019
95-th percentile2019
Maximum2019
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1727484
Coefficient of variation (CV)0.00058105257
Kurtosis31.920215
Mean2018.3172
Median Absolute Deviation (MAD)0
Skewness-4.3249496
Sum5764314
Variance1.3753389
MonotonicityNot monotonic
2023-12-13T02:53:00.555350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2019 1563
54.7%
2018 1001
35.0%
2017 151
 
5.3%
2016 61
 
2.1%
2014 31
 
1.1%
2015 21
 
0.7%
2013 11
 
0.4%
2012 5
 
0.2%
2008 4
 
0.1%
2010 3
 
0.1%
Other values (3) 5
 
0.2%
ValueCountFrequency (%)
2002 1
 
< 0.1%
2007 1
 
< 0.1%
2008 4
 
0.1%
2010 3
 
0.1%
2011 3
 
0.1%
2012 5
 
0.2%
2013 11
 
0.4%
2014 31
1.1%
2015 21
 
0.7%
2016 61
2.1%
ValueCountFrequency (%)
2019 1563
54.7%
2018 1001
35.0%
2017 151
 
5.3%
2016 61
 
2.1%
2015 21
 
0.7%
2014 31
 
1.1%
2013 11
 
0.4%
2012 5
 
0.2%
2011 3
 
0.1%
2010 3
 
0.1%

청구기호
Text

Distinct2820
Distinct (%)98.8%
Missing1
Missing (%)< 0.1%
Memory size22.4 KiB
2023-12-13T02:53:00.981112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.897723
Min length7

Characters and Unicode

Total characters31113
Distinct characters343
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2788 ?
Unique (%)97.7%

Sample

1st row813.8 조68ㅊ
2nd row813.8 조68ㅊ 2
3rd row331.54 김732ㅇ
4th row325.211 사51ㅅ
5th row005.133 김66ㅎ
ValueCountFrequency (%)
2 924
 
13.5%
813.8 229
 
3.3%
818 175
 
2.6%
813.7 131
 
1.9%
843 93
 
1.4%
833.6 92
 
1.3%
843.6 59
 
0.9%
1 57
 
0.8%
3 52
 
0.8%
863 42
 
0.6%
Other values (2531) 4999
72.9%
2023-12-13T02:53:01.561222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3998
12.8%
8 3030
9.7%
3 2990
 
9.6%
1 2701
 
8.7%
2 2677
 
8.6%
. 1942
 
6.2%
5 1716
 
5.5%
9 1713
 
5.5%
4 1418
 
4.6%
7 1364
 
4.4%
Other values (333) 7564
24.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19567
62.9%
Other Letter 5598
 
18.0%
Space Separator 3998
 
12.8%
Other Punctuation 1942
 
6.2%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 537
 
9.6%
김 345
 
6.2%
ㅅ 277
 
4.9%
ㄴ 250
 
4.5%
ㄱ 247
 
4.4%
이 220
 
3.9%
ㅁ 197
 
3.5%
ㅈ 194
 
3.5%
ㅎ 148
 
2.6%
ㅂ 144
 
2.6%
Other values (319) 3039
54.3%
Decimal Number
ValueCountFrequency (%)
8 3030
15.5%
3 2990
15.3%
1 2701
13.8%
2 2677
13.7%
5 1716
8.8%
9 1713
8.8%
4 1418
7.2%
7 1364
7.0%
6 1227
6.3%
0 731
 
3.7%
Space Separator
ValueCountFrequency (%)
3998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1942
100.0%
Close Punctuation
ValueCountFrequency (%)
] 4
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25515
82.0%
Hangul 5598
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 537
 
9.6%
김 345
 
6.2%
ㅅ 277
 
4.9%
ㄴ 250
 
4.5%
ㄱ 247
 
4.4%
이 220
 
3.9%
ㅁ 197
 
3.5%
ㅈ 194
 
3.5%
ㅎ 148
 
2.6%
ㅂ 144
 
2.6%
Other values (319) 3039
54.3%
Common
ValueCountFrequency (%)
3998
15.7%
8 3030
11.9%
3 2990
11.7%
1 2701
10.6%
2 2677
10.5%
. 1942
7.6%
5 1716
6.7%
9 1713
6.7%
4 1418
 
5.6%
7 1364
 
5.3%
Other values (4) 1966
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25515
82.0%
Hangul 3134
 
10.1%
Compat Jamo 2464
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3998
15.7%
8 3030
11.9%
3 2990
11.7%
1 2701
10.6%
2 2677
10.5%
. 1942
7.6%
5 1716
6.7%
9 1713
6.7%
4 1418
 
5.6%
7 1364
 
5.3%
Other values (4) 1966
7.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 537
21.8%
ㅅ 277
11.2%
ㄴ 250
10.1%
ㄱ 247
10.0%
ㅁ 197
 
8.0%
ㅈ 194
 
7.9%
ㅎ 148
 
6.0%
ㅂ 144
 
5.8%
ㄷ 123
 
5.0%
ㅊ 100
 
4.1%
Other values (9) 247
10.0%
Hangul
ValueCountFrequency (%)
김 345
 
11.0%
이 220
 
7.0%
박 128
 
4.1%
정 72
 
2.3%
최 71
 
2.3%
스 52
 
1.7%
강 50
 
1.6%
조 48
 
1.5%
오 46
 
1.5%
한 46
 
1.5%
Other values (300) 2056
65.6%

Interactions

2023-12-13T02:52:55.724833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:52:55.434110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:52:55.824488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:52:55.555670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:53:01.712008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No.출판년
No.1.0000.280
출판년0.2801.000
2023-12-13T02:53:01.822744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No.출판년
No.1.0000.187
출판년0.1871.000

Missing values

2023-12-13T02:52:55.962975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:52:56.125485image/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.

Sample

No.등록번호서명저자출판사출판년청구기호
01EM02299821930, 경성 설렁탕조은경 지음머스트비2018813.8 조68ㅊ
12EM02299831930, 경성 설렁탕조은경 지음머스트비2018813.8 조68ㅊ 2
23EM02299842019 트렌드 노트 :생활 변화 관찰기김정구북스톤2018331.54 김732ㅇ
34EM02299853개월 사용법이 인생을 바꾼다사사키 다이스케 지음에밀2019325.211 사51ㅅ
45EM0229986(Hello coding) 한입에 쏙 파이썬 :크리에이터 김왼손의 쉽고 빠른 파이썬 강의김왼손한빛미디어2018005.133 김66ㅎ
56EM0229987감염유희혼다 데쓰야 지음자음과모음2018833.6 혼221ㄱ
67EM0229988개 :끝나지 않은 진화앤디 허시 글·그림길벗어린이2018499.746 허59ㄱ
78EM0229989개 :끝나지 않은 진화앤디 허시 글·그림길벗어린이2018499.746 허59ㄱ 2
89EM0229990고난이 선물이다 :조정민 잠언록조정민 지음두란노2018234.3 조74ㄱ
910EM0229991고양이 니들펠트 :나도 고양이 있어히나리 지음황금시간2018592.27 히211ㄱ
No.등록번호서명저자출판사출판년청구기호
28462847MM0010181[비디오녹화자료] 신비아파트 :금빛 도깨비와 비밀의 동굴김병갑 감독CJ E&M2019688.6 김44ㅅ
28472848MM0010182[비디오녹화자료] 언덕길의 아폴론미키 코이치로 감독콘텐츠게이트2019688.2 미829ㅇ
28482849MM0010183[비디오녹화자료] 암수살인 =暗數殺人김태균 감독인조인간2019688.2 김832ㅇ
28492850MM0010184[비디오녹화자료] 완벽한 타인이재규 감독SM LDG2019688.2 이72ㅇ
28502851MM0010185[비디오녹화자료] 캡틴 스터비리차드 라니 감독인조인간2019688.6 라219ㅋ
28512852MM0010186[비디오녹화자료] 출동! 소방관 샘 :외계인 대소동개리 앤드류스 감독미디어룩2019688.6 앤228ㅊ
28522853MM0010187[비디오녹화자료] 베일리 어게인라세 할스트롬 감독알스컴퍼니2019688.2 할58ㅂ
28532854MM0010188[비디오녹화자료] (1997, 모두의 운명을 바꾼) 국가부도의 날 =Default최국희 감독아이브엔터테인먼트2019688.2 최17ㄱ
28542855MM0010189[비디오녹화자료] 스파이더맨 뉴 유니버스밥 퍼시게티 [외]감독소니픽쳐스2019688.6 퍼59ㅅ
28552856MM0010190[비디오녹화자료] 쿠르스크토마스 빈터베르그 감독노바미디어2019688.2 빈833ㅋ