Overview

Dataset statistics

Number of variables7
Number of observations613
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.8 KiB
Average record size in memory58.2 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description서대문구립도서관 도서목록 제공
Author서울특별시서대문구도시관리공단
URLhttps://www.data.go.kr/data/15001655/fileData.do

Alerts

자료실명 has constant value ""Constant
연번 has unique valuesUnique
청구기호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:45:22.067415
Analysis finished2023-12-12 23:45:23.412041
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct613
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307
Minimum1
Maximum613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-13T08:45:23.473344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.6
Q1154
median307
Q3460
95-th percentile582.4
Maximum613
Range612
Interquartile range (IQR)306

Descriptive statistics

Standard deviation177.10214
Coefficient of variation (CV)0.57687992
Kurtosis-1.2
Mean307
Median Absolute Deviation (MAD)153
Skewness0
Sum188191
Variance31365.167
MonotonicityStrictly increasing
2023-12-13T08:45:23.629733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
413 1
 
0.2%
406 1
 
0.2%
407 1
 
0.2%
408 1
 
0.2%
409 1
 
0.2%
410 1
 
0.2%
411 1
 
0.2%
412 1
 
0.2%
414 1
 
0.2%
Other values (603) 603
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
613 1
0.2%
612 1
0.2%
611 1
0.2%
610 1
0.2%
609 1
0.2%
608 1
0.2%
607 1
0.2%
606 1
0.2%
605 1
0.2%
604 1
0.2%

청구기호
Text

UNIQUE 

Distinct613
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-13T08:45:23.917072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.117455
Min length8

Characters and Unicode

Total characters6815
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique613 ?
Unique (%)100.0%

Sample

1st row325.1-ㅁ164ㄱ
2nd row593.2-ㅈ788ㄱ
3rd row325.1-ㅎ951ㄱ
4th row370.4-ㅇ963ㄱ
5th row370.4-ㅈ498ㄱ
ValueCountFrequency (%)
325.1-ㅁ164ㄱ 1
 
0.2%
029-ㅇ861ㅊ=2 1
 
0.2%
598.1-ㅅ954ㅅ 1
 
0.2%
004.61-ㅁ214ㄱ 1
 
0.2%
026.9-ㄴ81ㄴ 1
 
0.2%
001.2-ㄱ762ㄴ 1
 
0.2%
026.3-ㅇ286ㄷ 1
 
0.2%
326.165-ㅎ777ㄷ 1
 
0.2%
029.8-ㄱ256ㅊ 1
 
0.2%
594.62-ㅅ684ㅇ 1
 
0.2%
Other values (603) 603
98.4%
2023-12-13T08:45:24.299669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 660
 
9.7%
8 623
 
9.1%
1 573
 
8.4%
3 565
 
8.3%
2 477
 
7.0%
4 461
 
6.8%
. 451
 
6.6%
5 439
 
6.4%
6 434
 
6.4%
9 403
 
5.9%
Other values (21) 1729
25.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4474
65.6%
Other Letter 1202
 
17.6%
Dash Punctuation 660
 
9.7%
Other Punctuation 451
 
6.6%
Math Symbol 28
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 274
22.8%
ㄱ 169
14.1%
ㅅ 158
13.1%
ㅈ 107
 
8.9%
ㅂ 87
 
7.2%
ㅎ 72
 
6.0%
ㅁ 65
 
5.4%
ㄴ 62
 
5.2%
ㄷ 50
 
4.2%
ㅊ 44
 
3.7%
Other values (8) 114
9.5%
Decimal Number
ValueCountFrequency (%)
8 623
13.9%
1 573
12.8%
3 565
12.6%
2 477
10.7%
4 461
10.3%
5 439
9.8%
6 434
9.7%
9 403
9.0%
7 301
6.7%
0 198
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 660
100.0%
Other Punctuation
ValueCountFrequency (%)
. 451
100.0%
Math Symbol
ValueCountFrequency (%)
= 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5613
82.4%
Hangul 1202
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 274
22.8%
ㄱ 169
14.1%
ㅅ 158
13.1%
ㅈ 107
 
8.9%
ㅂ 87
 
7.2%
ㅎ 72
 
6.0%
ㅁ 65
 
5.4%
ㄴ 62
 
5.2%
ㄷ 50
 
4.2%
ㅊ 44
 
3.7%
Other values (8) 114
9.5%
Common
ValueCountFrequency (%)
- 660
11.8%
8 623
11.1%
1 573
10.2%
3 565
10.1%
2 477
8.5%
4 461
8.2%
. 451
8.0%
5 439
7.8%
6 434
7.7%
9 403
7.2%
Other values (3) 527
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5613
82.4%
Compat Jamo 1199
 
17.6%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 660
11.8%
8 623
11.1%
1 573
10.2%
3 565
10.1%
2 477
8.5%
4 461
8.2%
. 451
8.0%
5 439
7.8%
6 434
7.7%
9 403
7.2%
Other values (3) 527
9.4%
Compat Jamo
ValueCountFrequency (%)
ㅇ 274
22.9%
ㄱ 169
14.1%
ㅅ 158
13.2%
ㅈ 107
 
8.9%
ㅂ 87
 
7.3%
ㅎ 72
 
6.0%
ㅁ 65
 
5.4%
ㄴ 62
 
5.2%
ㄷ 50
 
4.2%
ㅊ 44
 
3.7%
Other values (5) 111
9.3%
Hangul
ValueCountFrequency (%)
어 1
33.3%
돈 1
33.3%
거 1
33.3%

자료실명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
본관_종합자료실(3층 신간도서 코너)
613 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본관_종합자료실(3층 신간도서 코너)
2nd row본관_종합자료실(3층 신간도서 코너)
3rd row본관_종합자료실(3층 신간도서 코너)
4th row본관_종합자료실(3층 신간도서 코너)
5th row본관_종합자료실(3층 신간도서 코너)

Common Values

ValueCountFrequency (%)
본관_종합자료실(3층 신간도서 코너) 613
100.0%

Length

2023-12-13T08:45:24.430993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:45:24.527971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본관_종합자료실(3층 613
33.3%
신간도서 613
33.3%
코너 613
33.3%

서명
Text

Distinct601
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-13T08:45:24.835193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length49
Mean length29.539967
Min length2

Characters and Unicode

Total characters18108
Distinct characters859
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique592 ?
Unique (%)96.6%

Sample

1st row경영 전략의 역사, 손자병법부터 AI전략까지 전략의 핵심을 한 권에!
2nd row고잉 그레이 : 나는 흰머리 염색을 하지 않기로 했다
3rd row골리앗의 복수 : 디지털 파괴자들로부터 시장을 탈환하는 6가지 전략
4th row공부는 정의로 나아가는 문이다 : 코로나 시대, 새로운 교육을 위하여
5th row교사의 독서 : 바쁨과 순응 사이, 길을 찾는 교사들에게
ValueCountFrequency (%)
462
 
9.4%
장편소설 44
 
0.9%
위한 40
 
0.8%
이야기 30
 
0.6%
한 23
 
0.5%
내 19
 
0.4%
나는 18
 
0.4%
모든 18
 
0.4%
아는 14
 
0.3%
소설 14
 
0.3%
Other values (3014) 4227
86.1%
2023-12-13T08:45:25.313253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4296
 
23.7%
: 435
 
2.4%
의 368
 
2.0%
는 340
 
1.9%
이 288
 
1.6%
한 201
 
1.1%
지 191
 
1.1%
기 191
 
1.1%
가 182
 
1.0%
하 178
 
1.0%
Other values (849) 11438
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12076
66.7%
Space Separator 4296
 
23.7%
Other Punctuation 693
 
3.8%
Lowercase Letter 458
 
2.5%
Decimal Number 311
 
1.7%
Uppercase Letter 126
 
0.7%
Close Punctuation 48
 
0.3%
Open Punctuation 48
 
0.3%
Math Symbol 36
 
0.2%
Final Punctuation 5
 
< 0.1%
Other values (3) 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 368
 
3.0%
는 340
 
2.8%
이 288
 
2.4%
한 201
 
1.7%
지 191
 
1.6%
기 191
 
1.6%
가 182
 
1.5%
하 178
 
1.5%
아 168
 
1.4%
리 160
 
1.3%
Other values (765) 9809
81.2%
Lowercase Letter
ValueCountFrequency (%)
o 53
11.6%
e 52
11.4%
a 36
 
7.9%
i 36
 
7.9%
t 35
 
7.6%
n 35
 
7.6%
r 27
 
5.9%
s 24
 
5.2%
l 22
 
4.8%
f 16
 
3.5%
Other values (13) 122
26.6%
Uppercase Letter
ValueCountFrequency (%)
S 19
15.1%
A 13
10.3%
T 10
 
7.9%
N 10
 
7.9%
M 9
 
7.1%
E 8
 
6.3%
O 8
 
6.3%
D 6
 
4.8%
K 6
 
4.8%
H 5
 
4.0%
Other values (11) 32
25.4%
Other Punctuation
ValueCountFrequency (%)
: 435
62.8%
, 147
 
21.2%
! 24
 
3.5%
. 21
 
3.0%
' 18
 
2.6%
? 16
 
2.3%
· 16
 
2.3%
& 8
 
1.2%
# 6
 
0.9%
% 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 77
24.8%
0 72
23.2%
2 39
12.5%
5 28
 
9.0%
3 23
 
7.4%
8 19
 
6.1%
7 16
 
5.1%
9 15
 
4.8%
6 12
 
3.9%
4 10
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 24
66.7%
| 6
 
16.7%
+ 2
 
5.6%
~ 2
 
5.6%
< 1
 
2.8%
> 1
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 42
87.5%
』 3
 
6.2%
〉 2
 
4.2%
》 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 42
87.5%
『 3
 
6.2%
〈 2
 
4.2%
《 1
 
2.1%
Space Separator
ValueCountFrequency (%)
4296
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12072
66.7%
Common 5448
30.1%
Latin 584
 
3.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 368
 
3.0%
는 340
 
2.8%
이 288
 
2.4%
한 201
 
1.7%
지 191
 
1.6%
기 191
 
1.6%
가 182
 
1.5%
하 178
 
1.5%
아 168
 
1.4%
리 160
 
1.3%
Other values (761) 9805
81.2%
Latin
ValueCountFrequency (%)
o 53
 
9.1%
e 52
 
8.9%
a 36
 
6.2%
i 36
 
6.2%
t 35
 
6.0%
n 35
 
6.0%
r 27
 
4.6%
s 24
 
4.1%
l 22
 
3.8%
S 19
 
3.3%
Other values (34) 245
42.0%
Common
ValueCountFrequency (%)
4296
78.9%
: 435
 
8.0%
, 147
 
2.7%
1 77
 
1.4%
0 72
 
1.3%
) 42
 
0.8%
( 42
 
0.8%
2 39
 
0.7%
5 28
 
0.5%
= 24
 
0.4%
Other values (30) 246
 
4.5%
Han
ValueCountFrequency (%)
人 1
25.0%
申 1
25.0%
京 1
25.0%
淑 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12071
66.7%
ASCII 5993
33.1%
None 28
 
0.2%
Punctuation 11
 
0.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4296
71.7%
: 435
 
7.3%
, 147
 
2.5%
1 77
 
1.3%
0 72
 
1.2%
o 53
 
0.9%
e 52
 
0.9%
) 42
 
0.7%
( 42
 
0.7%
2 39
 
0.7%
Other values (64) 738
 
12.3%
Hangul
ValueCountFrequency (%)
의 368
 
3.0%
는 340
 
2.8%
이 288
 
2.4%
한 201
 
1.7%
지 191
 
1.6%
기 191
 
1.6%
가 182
 
1.5%
하 178
 
1.5%
아 168
 
1.4%
리 160
 
1.3%
Other values (760) 9804
81.2%
None
ValueCountFrequency (%)
· 16
57.1%
』 3
 
10.7%
『 3
 
10.7%
〉 2
 
7.1%
〈 2
 
7.1%
》 1
 
3.6%
《 1
 
3.6%
Punctuation
ValueCountFrequency (%)
’ 5
45.5%
‘ 5
45.5%
… 1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
人 1
25.0%
申 1
25.0%
京 1
25.0%
淑 1
25.0%

저작자
Text

Distinct584
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-13T08:45:25.661246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length13.226754
Min length5

Characters and Unicode

Total characters8108
Distinct characters472
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

Unique564 ?
Unique (%)92.0%

Sample

1st row고토사카 마사히로 지음 ; 김정환 옮김
2nd row주부의 벗 지음 ; 박햇님 옮김
3rd row토드 휴린, 스콧 스나이더 [공] 지음 ; 박슬라 옮김
4th row인디고 서원 엮음
5th row정철희 지음
ValueCountFrequency (%)
지음 572
22.8%
277
 
11.0%
옮김 237
 
9.5%
공 54
 
2.2%
그림 34
 
1.4%
글 16
 
0.6%
존 7
 
0.3%
엮음 5
 
0.2%
데이비드 5
 
0.2%
루이스 5
 
0.2%
Other values (1142) 1295
51.7%
2023-12-13T08:45:26.073725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1894
23.4%
지 639
 
7.9%
음 592
 
7.3%
김 377
 
4.6%
; 277
 
3.4%
옮 239
 
2.9%
이 183
 
2.3%
스 97
 
1.2%
, 83
 
1.0%
정 82
 
1.0%
Other values (462) 3645
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5598
69.0%
Space Separator 1894
 
23.4%
Other Punctuation 425
 
5.2%
Open Punctuation 75
 
0.9%
Close Punctuation 75
 
0.9%
Uppercase Letter 23
 
0.3%
Lowercase Letter 16
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 639
 
11.4%
음 592
 
10.6%
김 377
 
6.7%
옮 239
 
4.3%
이 183
 
3.3%
스 97
 
1.7%
정 82
 
1.5%
리 69
 
1.2%
영 63
 
1.1%
공 61
 
1.1%
Other values (431) 3196
57.1%
Uppercase Letter
ValueCountFrequency (%)
E 4
17.4%
L 3
13.0%
T 2
8.7%
A 2
8.7%
J 2
8.7%
B 2
8.7%
S 2
8.7%
H 2
8.7%
F 1
 
4.3%
N 1
 
4.3%
Other values (2) 2
8.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
i 2
12.5%
s 2
12.5%
a 2
12.5%
n 2
12.5%
h 1
 
6.2%
k 1
 
6.2%
m 1
 
6.2%
v 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
; 277
65.2%
, 83
 
19.5%
. 61
 
14.4%
: 3
 
0.7%
· 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1894
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 75
100.0%
Close Punctuation
ValueCountFrequency (%)
] 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5598
69.0%
Common 2471
30.5%
Latin 39
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 639
 
11.4%
음 592
 
10.6%
김 377
 
6.7%
옮 239
 
4.3%
이 183
 
3.3%
스 97
 
1.7%
정 82
 
1.5%
리 69
 
1.2%
영 63
 
1.1%
공 61
 
1.1%
Other values (431) 3196
57.1%
Latin
ValueCountFrequency (%)
E 4
 
10.3%
e 4
 
10.3%
L 3
 
7.7%
T 2
 
5.1%
A 2
 
5.1%
J 2
 
5.1%
i 2
 
5.1%
s 2
 
5.1%
B 2
 
5.1%
S 2
 
5.1%
Other values (11) 14
35.9%
Common
ValueCountFrequency (%)
1894
76.6%
; 277
 
11.2%
, 83
 
3.4%
[ 75
 
3.0%
] 75
 
3.0%
. 61
 
2.5%
: 3
 
0.1%
< 1
 
< 0.1%
> 1
 
< 0.1%
· 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5598
69.0%
ASCII 2509
30.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1894
75.5%
; 277
 
11.0%
, 83
 
3.3%
[ 75
 
3.0%
] 75
 
3.0%
. 61
 
2.4%
E 4
 
0.2%
e 4
 
0.2%
: 3
 
0.1%
L 3
 
0.1%
Other values (20) 30
 
1.2%
Hangul
ValueCountFrequency (%)
지 639
 
11.4%
음 592
 
10.6%
김 377
 
6.7%
옮 239
 
4.3%
이 183
 
3.3%
스 97
 
1.7%
정 82
 
1.5%
리 69
 
1.2%
영 63
 
1.1%
공 61
 
1.1%
Other values (431) 3196
57.1%
None
ValueCountFrequency (%)
· 1
100.0%

발행자
Text

Distinct406
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-13T08:45:26.575736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length4.0065253
Min length1

Characters and Unicode

Total characters2456
Distinct characters385
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)50.4%

Sample

1st row센시오
2nd row블루무스
3rd row인플루엔셜
4th row궁리
5th row휴머니스트
ValueCountFrequency (%)
문학동네 14
 
2.3%
풀빛 10
 
1.6%
민음사 9
 
1.5%
문학과지성사 8
 
1.3%
을유문화사 7
 
1.1%
열린책들 7
 
1.1%
반니 6
 
1.0%
위즈덤하우스 5
 
0.8%
은행나무 5
 
0.8%
한겨레출판사 5
 
0.8%
Other values (400) 543
87.7%
2023-12-13T08:45:26.939989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 152
 
6.2%
북 88
 
3.6%
사 78
 
3.2%
이 58
 
2.4%
문 52
 
2.1%
아 37
 
1.5%
학 37
 
1.5%
리 35
 
1.4%
지 33
 
1.3%
책 32
 
1.3%
Other values (375) 1854
75.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2368
96.4%
Lowercase Letter 34
 
1.4%
Uppercase Letter 27
 
1.1%
Decimal Number 18
 
0.7%
Space Separator 6
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 152
 
6.4%
북 88
 
3.7%
사 78
 
3.3%
이 58
 
2.4%
문 52
 
2.2%
아 37
 
1.6%
학 37
 
1.6%
리 35
 
1.5%
지 33
 
1.4%
책 32
 
1.4%
Other values (336) 1766
74.6%
Uppercase Letter
ValueCountFrequency (%)
N 3
11.1%
B 2
 
7.4%
P 2
 
7.4%
A 2
 
7.4%
T 2
 
7.4%
E 2
 
7.4%
R 2
 
7.4%
H 2
 
7.4%
K 2
 
7.4%
W 1
 
3.7%
Other values (7) 7
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 8
23.5%
s 4
11.8%
e 3
 
8.8%
i 3
 
8.8%
r 2
 
5.9%
k 2
 
5.9%
c 2
 
5.9%
n 2
 
5.9%
t 2
 
5.9%
b 1
 
2.9%
Other values (5) 5
14.7%
Decimal Number
ValueCountFrequency (%)
1 8
44.4%
2 7
38.9%
4 2
 
11.1%
7 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
# 2
66.7%
＆ 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2368
96.4%
Latin 61
 
2.5%
Common 27
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 152
 
6.4%
북 88
 
3.7%
사 78
 
3.3%
이 58
 
2.4%
문 52
 
2.2%
아 37
 
1.6%
학 37
 
1.6%
리 35
 
1.5%
지 33
 
1.4%
책 32
 
1.4%
Other values (336) 1766
74.6%
Latin
ValueCountFrequency (%)
o 8
 
13.1%
s 4
 
6.6%
e 3
 
4.9%
i 3
 
4.9%
N 3
 
4.9%
B 2
 
3.3%
r 2
 
3.3%
k 2
 
3.3%
c 2
 
3.3%
n 2
 
3.3%
Other values (22) 30
49.2%
Common
ValueCountFrequency (%)
1 8
29.6%
2 7
25.9%
6
22.2%
4 2
 
7.4%
# 2
 
7.4%
7 1
 
3.7%
＆ 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2368
96.4%
ASCII 87
 
3.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 152
 
6.4%
북 88
 
3.7%
사 78
 
3.3%
이 58
 
2.4%
문 52
 
2.2%
아 37
 
1.6%
학 37
 
1.6%
리 35
 
1.5%
지 33
 
1.4%
책 32
 
1.4%
Other values (336) 1766
74.6%
ASCII
ValueCountFrequency (%)
o 8
 
9.2%
1 8
 
9.2%
2 7
 
8.0%
6
 
6.9%
s 4
 
4.6%
e 3
 
3.4%
i 3
 
3.4%
N 3
 
3.4%
B 2
 
2.3%
r 2
 
2.3%
Other values (28) 41
47.1%
None
ValueCountFrequency (%)
＆ 1
100.0%

발행년
Real number (ℝ)

Distinct10
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7113
Minimum2010
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2023-12-13T08:45:27.040422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2018.6
Q12020
median2020
Q32020
95-th percentile2020
Maximum2020
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2959794
Coefficient of variation (CV)0.00064166569
Kurtosis34.414265
Mean2019.7113
Median Absolute Deviation (MAD)0
Skewness-5.6920907
Sum1238083
Variance1.6795626
MonotonicityNot monotonic
2023-12-13T08:45:27.126082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2020 562
91.7%
2019 20
 
3.3%
2018 8
 
1.3%
2017 6
 
1.0%
2013 4
 
0.7%
2010 4
 
0.7%
2011 3
 
0.5%
2016 3
 
0.5%
2015 2
 
0.3%
2014 1
 
0.2%
ValueCountFrequency (%)
2010 4
 
0.7%
2011 3
 
0.5%
2013 4
 
0.7%
2014 1
 
0.2%
2015 2
 
0.3%
2016 3
 
0.5%
2017 6
 
1.0%
2018 8
 
1.3%
2019 20
 
3.3%
2020 562
91.7%
ValueCountFrequency (%)
2020 562
91.7%
2019 20
 
3.3%
2018 8
 
1.3%
2017 6
 
1.0%
2016 3
 
0.5%
2015 2
 
0.3%
2014 1
 
0.2%
2013 4
 
0.7%
2011 3
 
0.5%
2010 4
 
0.7%

Interactions

2023-12-13T08:45:23.040389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:22.871518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:23.135645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:45:22.955296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:45:27.189417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년
연번1.0000.347
발행년0.3471.000
2023-12-13T08:45:27.251433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발행년
연번1.000-0.145
발행년-0.1451.000

Missing values

2023-12-13T08:45:23.261473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:45:23.373496image/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

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