Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory488.3 KiB
Average record size in memory50.0 B

Variable types

Numeric2
Text3

Dataset

Description영도구 영도도서관 자료 현황 정보에 대한 데이터로 도서명, 저자, 출판사 등의 정보를 제공합니다_20230816 기준입니다.
URLhttps://www.data.go.kr/data/3069148/fileData.do

Alerts

번호 is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:39:18.315820
Analysis finished2023-12-12 17:39:21.676212
Duration3.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47337.538
Minimum8
Maximum95293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:39:21.756074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile4428.95
Q123652.5
median47245
Q371110.75
95-th percentile90547.45
Maximum95293
Range95285
Interquartile range (IQR)47458.25

Descriptive statistics

Standard deviation27519.921
Coefficient of variation (CV)0.58135513
Kurtosis-1.1901438
Mean47337.538
Median Absolute Deviation (MAD)23726.5
Skewness0.013415243
Sum4.7337538 × 108
Variance7.5734603 × 108
MonotonicityNot monotonic
2023-12-13T02:39:21.913923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63881 1
 
< 0.1%
78416 1
 
< 0.1%
63164 1
 
< 0.1%
78669 1
 
< 0.1%
31390 1
 
< 0.1%
11650 1
 
< 0.1%
37402 1
 
< 0.1%
73204 1
 
< 0.1%
75232 1
 
< 0.1%
48134 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
8 1
< 0.1%
10 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
23 1
< 0.1%
48 1
< 0.1%
51 1
< 0.1%
52 1
< 0.1%
54 1
< 0.1%
67 1
< 0.1%
ValueCountFrequency (%)
95293 1
< 0.1%
95284 1
< 0.1%
95282 1
< 0.1%
95271 1
< 0.1%
95260 1
< 0.1%
95257 1
< 0.1%
95255 1
< 0.1%
95245 1
< 0.1%
95239 1
< 0.1%
95230 1
< 0.1%

서명
Text

Distinct9887
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:39:22.327852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length187
Median length73
Mean length16.0358
Min length1

Characters and Unicode

Total characters160358
Distinct characters1825
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9778 ?
Unique (%)97.8%

Sample

1st row내 안의 여행유전자
2nd row모든 어린이들이 행복한 세상
3rd row(고독의 병)자살의 심리학
4th row인류를 다시 시작하는 장치 : 소중한 지구, 처음부터 다시 시작할 수 없을까?
5th row머리끝에서 발끝까지... 믿지 말아라
ValueCountFrequency (%)
2441
 
5.9%
1 374
 
0.9%
이야기 338
 
0.8%
2 322
 
0.8%
167
 
0.4%
3 159
 
0.4%
위한 155
 
0.4%
the 147
 
0.4%
우리 139
 
0.3%
역사 100
 
0.2%
Other values (19593) 37365
89.6%
2023-12-13T02:39:23.021225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32287
 
20.1%
3456
 
2.2%
2840
 
1.8%
: 2315
 
1.4%
2001
 
1.2%
1796
 
1.1%
. 1744
 
1.1%
1705
 
1.1%
) 1547
 
1.0%
( 1546
 
1.0%
Other values (1815) 109121
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104894
65.4%
Space Separator 32287
 
20.1%
Lowercase Letter 7768
 
4.8%
Other Punctuation 5939
 
3.7%
Decimal Number 3816
 
2.4%
Uppercase Letter 2160
 
1.3%
Close Punctuation 1567
 
1.0%
Open Punctuation 1566
 
1.0%
Dash Punctuation 167
 
0.1%
Math Symbol 149
 
0.1%
Other values (4) 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3456
 
3.3%
2840
 
2.7%
2001
 
1.9%
1796
 
1.7%
1705
 
1.6%
1507
 
1.4%
1477
 
1.4%
1420
 
1.4%
1326
 
1.3%
1272
 
1.2%
Other values (1704) 86094
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 980
12.6%
o 697
 
9.0%
a 690
 
8.9%
n 590
 
7.6%
t 570
 
7.3%
r 557
 
7.2%
i 542
 
7.0%
s 542
 
7.0%
h 397
 
5.1%
l 306
 
3.9%
Other values (16) 1897
24.4%
Uppercase Letter
ValueCountFrequency (%)
T 219
 
10.1%
S 185
 
8.6%
C 154
 
7.1%
E 141
 
6.5%
A 130
 
6.0%
B 120
 
5.6%
I 114
 
5.3%
M 112
 
5.2%
O 110
 
5.1%
D 108
 
5.0%
Other values (16) 767
35.5%
Other Punctuation
ValueCountFrequency (%)
: 2315
39.0%
. 1744
29.4%
, 929
15.6%
! 282
 
4.7%
? 208
 
3.5%
' 119
 
2.0%
· 117
 
2.0%
53
 
0.9%
48
 
0.8%
& 45
 
0.8%
Other values (11) 79
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 972
25.5%
2 766
20.1%
0 616
16.1%
3 372
 
9.7%
5 255
 
6.7%
4 218
 
5.7%
9 164
 
4.3%
6 162
 
4.2%
8 147
 
3.9%
7 144
 
3.8%
Math Symbol
ValueCountFrequency (%)
= 90
60.4%
+ 19
 
12.8%
~ 17
 
11.4%
9
 
6.0%
< 6
 
4.0%
> 6
 
4.0%
× 1
 
0.7%
| 1
 
0.7%
Letter Number
ValueCountFrequency (%)
14
36.8%
14
36.8%
6
15.8%
3
 
7.9%
1
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 1547
98.7%
] 12
 
0.8%
5
 
0.3%
3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1546
98.7%
[ 12
 
0.8%
5
 
0.3%
3
 
0.2%
Other Symbol
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Space Separator
ValueCountFrequency (%)
32287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103550
64.6%
Common 45498
28.4%
Latin 9966
 
6.2%
Han 1344
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3456
 
3.3%
2840
 
2.7%
2001
 
1.9%
1796
 
1.7%
1705
 
1.6%
1507
 
1.5%
1477
 
1.4%
1420
 
1.4%
1326
 
1.3%
1272
 
1.2%
Other values (1231) 84750
81.8%
Han
ValueCountFrequency (%)
45
 
3.3%
35
 
2.6%
34
 
2.5%
22
 
1.6%
22
 
1.6%
20
 
1.5%
20
 
1.5%
18
 
1.3%
17
 
1.3%
16
 
1.2%
Other values (463) 1095
81.5%
Latin
ValueCountFrequency (%)
e 980
 
9.8%
o 697
 
7.0%
a 690
 
6.9%
n 590
 
5.9%
t 570
 
5.7%
r 557
 
5.6%
i 542
 
5.4%
s 542
 
5.4%
h 397
 
4.0%
l 306
 
3.1%
Other values (47) 4095
41.1%
Common
ValueCountFrequency (%)
32287
71.0%
: 2315
 
5.1%
. 1744
 
3.8%
) 1547
 
3.4%
( 1546
 
3.4%
1 972
 
2.1%
, 929
 
2.0%
2 766
 
1.7%
0 616
 
1.4%
3 372
 
0.8%
Other values (44) 2404
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103520
64.6%
ASCII 55149
34.4%
CJK 1313
 
0.8%
None 264
 
0.2%
Number Forms 38
 
< 0.1%
CJK Compat Ideographs 31
 
< 0.1%
Compat Jamo 30
 
< 0.1%
Math Operators 9
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32287
58.5%
: 2315
 
4.2%
. 1744
 
3.2%
) 1547
 
2.8%
( 1546
 
2.8%
e 980
 
1.8%
1 972
 
1.8%
, 929
 
1.7%
2 766
 
1.4%
o 697
 
1.3%
Other values (78) 11366
 
20.6%
Hangul
ValueCountFrequency (%)
3456
 
3.3%
2840
 
2.7%
2001
 
1.9%
1796
 
1.7%
1705
 
1.6%
1507
 
1.5%
1477
 
1.4%
1420
 
1.4%
1326
 
1.3%
1272
 
1.2%
Other values (1225) 84720
81.8%
None
ValueCountFrequency (%)
· 117
44.3%
53
20.1%
48
18.2%
16
 
6.1%
6
 
2.3%
5
 
1.9%
5
 
1.9%
4
 
1.5%
3
 
1.1%
3
 
1.1%
Other values (3) 4
 
1.5%
CJK
ValueCountFrequency (%)
45
 
3.4%
35
 
2.7%
34
 
2.6%
22
 
1.7%
22
 
1.7%
20
 
1.5%
20
 
1.5%
18
 
1.4%
17
 
1.3%
16
 
1.2%
Other values (448) 1064
81.0%
Compat Jamo
ValueCountFrequency (%)
18
60.0%
3
 
10.0%
3
 
10.0%
3
 
10.0%
2
 
6.7%
1
 
3.3%
Number Forms
ValueCountFrequency (%)
14
36.8%
14
36.8%
6
15.8%
3
 
7.9%
1
 
2.6%
Math Operators
ValueCountFrequency (%)
9
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
8
25.8%
4
12.9%
3
 
9.7%
3
 
9.7%
2
 
6.5%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (5) 5
16.1%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Geometric Shapes
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct9116
Distinct (%)91.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T02:39:23.437102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length91
Mean length15.709271
Min length2

Characters and Unicode

Total characters157077
Distinct characters1400
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8538 ?
Unique (%)85.4%

Sample

1st row이진주 글.사진 ; 정윤현 일러스트
2nd row김평 글 ; 최선경 그림
3rd row다카하시 요시토모 지음 ; 변은숙 옮김
4th row오카다 준 글·그림 ; 김난주 옮김
5th row알렉산드르 밤삘 로프 지음 ; 강완구 옮김 ; 민애수 그림
ValueCountFrequency (%)
7285
 
15.6%
지음 5472
 
11.7%
옮김 2999
 
6.4%
그림 1926
 
4.1%
1440
 
3.1%
517
 
1.1%
by 457
 
1.0%
엮음 352
 
0.8%
공]지음 320
 
0.7%
187
 
0.4%
Other values (14263) 25733
55.1%
2023-12-13T02:39:24.055295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37569
23.9%
; 7270
 
4.6%
6469
 
4.1%
6304
 
4.0%
5411
 
3.4%
3122
 
2.0%
3003
 
1.9%
2411
 
1.5%
2337
 
1.5%
1926
 
1.2%
Other values (1390) 81255
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95347
60.7%
Space Separator 37569
 
23.9%
Lowercase Letter 9775
 
6.2%
Other Punctuation 9301
 
5.9%
Uppercase Letter 2332
 
1.5%
Close Punctuation 1307
 
0.8%
Open Punctuation 1307
 
0.8%
Decimal Number 64
 
< 0.1%
Dash Punctuation 56
 
< 0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6469
 
6.8%
6304
 
6.6%
5411
 
5.7%
3122
 
3.3%
3003
 
3.1%
2411
 
2.5%
2337
 
2.5%
1926
 
2.0%
1434
 
1.5%
1404
 
1.5%
Other values (1299) 61526
64.5%
Lowercase Letter
ValueCountFrequency (%)
e 1120
11.5%
a 906
 
9.3%
r 854
 
8.7%
l 761
 
7.8%
t 704
 
7.2%
n 683
 
7.0%
y 678
 
6.9%
i 622
 
6.4%
o 570
 
5.8%
s 522
 
5.3%
Other values (16) 2355
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 307
 
13.2%
S 177
 
7.6%
M 167
 
7.2%
J 158
 
6.8%
C 140
 
6.0%
A 131
 
5.6%
I 119
 
5.1%
R 117
 
5.0%
D 117
 
5.0%
P 109
 
4.7%
Other values (16) 790
33.9%
Other Punctuation
ValueCountFrequency (%)
; 7270
78.2%
. 1502
 
16.1%
, 339
 
3.6%
· 139
 
1.5%
: 23
 
0.2%
' 9
 
0.1%
7
 
0.1%
& 5
 
0.1%
/ 3
 
< 0.1%
" 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 14
21.9%
2 11
17.2%
5 9
14.1%
3 7
10.9%
0 7
10.9%
4 6
9.4%
8 4
 
6.2%
7 4
 
6.2%
9 1
 
1.6%
6 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
] 1296
99.2%
) 5
 
0.4%
3
 
0.2%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 1296
99.2%
( 5
 
0.4%
3
 
0.2%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 9
50.0%
< 9
50.0%
Space Separator
ValueCountFrequency (%)
37569
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94313
60.0%
Common 49623
31.6%
Latin 12107
 
7.7%
Han 1032
 
0.7%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6469
 
6.9%
6304
 
6.7%
5411
 
5.7%
3122
 
3.3%
3003
 
3.2%
2411
 
2.6%
2337
 
2.5%
1926
 
2.0%
1434
 
1.5%
1404
 
1.5%
Other values (905) 60492
64.1%
Han
ValueCountFrequency (%)
131
 
12.7%
46
 
4.5%
41
 
4.0%
30
 
2.9%
26
 
2.5%
19
 
1.8%
14
 
1.4%
13
 
1.3%
11
 
1.1%
10
 
1.0%
Other values (382) 691
67.0%
Latin
ValueCountFrequency (%)
e 1120
 
9.3%
a 906
 
7.5%
r 854
 
7.1%
l 761
 
6.3%
t 704
 
5.8%
n 683
 
5.6%
y 678
 
5.6%
i 622
 
5.1%
o 570
 
4.7%
s 522
 
4.3%
Other values (42) 4687
38.7%
Common
ValueCountFrequency (%)
37569
75.7%
; 7270
 
14.7%
. 1502
 
3.0%
] 1296
 
2.6%
[ 1296
 
2.6%
, 339
 
0.7%
· 139
 
0.3%
- 56
 
0.1%
: 23
 
< 0.1%
1 14
 
< 0.1%
Other values (29) 119
 
0.2%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94299
60.0%
ASCII 61570
39.2%
CJK 980
 
0.6%
None 159
 
0.1%
CJK Compat Ideographs 52
 
< 0.1%
Compat Jamo 14
 
< 0.1%
Hiragana 2
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37569
61.0%
; 7270
 
11.8%
. 1502
 
2.4%
] 1296
 
2.1%
[ 1296
 
2.1%
e 1120
 
1.8%
a 906
 
1.5%
r 854
 
1.4%
l 761
 
1.2%
t 704
 
1.1%
Other values (69) 8292
 
13.5%
Hangul
ValueCountFrequency (%)
6469
 
6.9%
6304
 
6.7%
5411
 
5.7%
3122
 
3.3%
3003
 
3.2%
2411
 
2.6%
2337
 
2.5%
1926
 
2.0%
1434
 
1.5%
1404
 
1.5%
Other values (904) 60478
64.1%
None
ValueCountFrequency (%)
· 139
87.4%
7
 
4.4%
3
 
1.9%
3
 
1.9%
1
 
0.6%
1
 
0.6%
1
 
0.6%
1
 
0.6%
1
 
0.6%
1
 
0.6%
CJK
ValueCountFrequency (%)
131
 
13.4%
46
 
4.7%
41
 
4.2%
30
 
3.1%
19
 
1.9%
14
 
1.4%
13
 
1.3%
11
 
1.1%
10
 
1.0%
10
 
1.0%
Other values (368) 655
66.8%
CJK Compat Ideographs
ValueCountFrequency (%)
26
50.0%
4
 
7.7%
4
 
7.7%
3
 
5.8%
3
 
5.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
1
 
1.9%
1
 
1.9%
Other values (4) 4
 
7.7%
Compat Jamo
ValueCountFrequency (%)
14
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Distinct2859
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:39:24.448360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length4.484
Min length1

Characters and Unicode

Total characters44840
Distinct characters834
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1547 ?
Unique (%)15.5%

Sample

1st row가치창조
2nd row한국노벨
3rd row알마
4th row거북이북스
5th row별과우주
ValueCountFrequency (%)
문학동네 175
 
1.7%
비룡소 128
 
1.2%
민음사 95
 
0.9%
창비 90
 
0.9%
시공사 83
 
0.8%
김영사 81
 
0.8%
주니어김영사 64
 
0.6%
시공주니어 63
 
0.6%
문학과지성사 63
 
0.6%
사계절 62
 
0.6%
Other values (2900) 9576
91.4%
2023-12-13T02:39:25.150645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2388
 
5.3%
1060
 
2.4%
1002
 
2.2%
828
 
1.8%
813
 
1.8%
766
 
1.7%
762
 
1.7%
727
 
1.6%
689
 
1.5%
545
 
1.2%
Other values (824) 35260
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38964
86.9%
Lowercase Letter 3790
 
8.5%
Uppercase Letter 1197
 
2.7%
Space Separator 480
 
1.1%
Other Punctuation 204
 
0.5%
Decimal Number 154
 
0.3%
Close Punctuation 21
 
< 0.1%
Open Punctuation 21
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2388
 
6.1%
1060
 
2.7%
1002
 
2.6%
828
 
2.1%
813
 
2.1%
766
 
2.0%
762
 
2.0%
727
 
1.9%
689
 
1.8%
545
 
1.4%
Other values (751) 29384
75.4%
Lowercase Letter
ValueCountFrequency (%)
o 491
13.0%
s 357
 
9.4%
e 293
 
7.7%
a 281
 
7.4%
r 276
 
7.3%
i 270
 
7.1%
n 267
 
7.0%
l 246
 
6.5%
k 144
 
3.8%
c 141
 
3.7%
Other values (14) 1024
27.0%
Uppercase Letter
ValueCountFrequency (%)
B 198
16.5%
C 117
 
9.8%
M 113
 
9.4%
S 101
 
8.4%
H 93
 
7.8%
I 57
 
4.8%
P 57
 
4.8%
A 52
 
4.3%
L 51
 
4.3%
O 50
 
4.2%
Other values (14) 308
25.7%
Other Punctuation
ValueCountFrequency (%)
& 58
28.4%
48
23.5%
. 37
18.1%
: 26
12.7%
' 13
 
6.4%
, 13
 
6.4%
? 3
 
1.5%
@ 3
 
1.5%
· 3
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 74
48.1%
2 72
46.8%
5 3
 
1.9%
8 2
 
1.3%
4 1
 
0.6%
3 1
 
0.6%
6 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 18
85.7%
] 3
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 18
85.7%
[ 3
 
14.3%
Space Separator
ValueCountFrequency (%)
480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38396
85.6%
Latin 4987
 
11.1%
Common 887
 
2.0%
Han 570
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2388
 
6.2%
1060
 
2.8%
1002
 
2.6%
828
 
2.2%
813
 
2.1%
766
 
2.0%
762
 
2.0%
727
 
1.9%
689
 
1.8%
545
 
1.4%
Other values (617) 28816
75.0%
Han
ValueCountFrequency (%)
78
 
13.7%
54
 
9.5%
20
 
3.5%
15
 
2.6%
15
 
2.6%
15
 
2.6%
14
 
2.5%
12
 
2.1%
12
 
2.1%
12
 
2.1%
Other values (125) 323
56.7%
Latin
ValueCountFrequency (%)
o 491
 
9.8%
s 357
 
7.2%
e 293
 
5.9%
a 281
 
5.6%
r 276
 
5.5%
i 270
 
5.4%
n 267
 
5.4%
l 246
 
4.9%
B 198
 
4.0%
k 144
 
2.9%
Other values (38) 2164
43.4%
Common
ValueCountFrequency (%)
480
54.1%
1 74
 
8.3%
2 72
 
8.1%
& 58
 
6.5%
48
 
5.4%
. 37
 
4.2%
: 26
 
2.9%
) 18
 
2.0%
( 18
 
2.0%
' 13
 
1.5%
Other values (14) 43
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38394
85.6%
ASCII 5823
 
13.0%
CJK 569
 
1.3%
None 53
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2388
 
6.2%
1060
 
2.8%
1002
 
2.6%
828
 
2.2%
813
 
2.1%
766
 
2.0%
762
 
2.0%
727
 
1.9%
689
 
1.8%
545
 
1.4%
Other values (616) 28814
75.0%
ASCII
ValueCountFrequency (%)
o 491
 
8.4%
480
 
8.2%
s 357
 
6.1%
e 293
 
5.0%
a 281
 
4.8%
r 276
 
4.7%
i 270
 
4.6%
n 267
 
4.6%
l 246
 
4.2%
B 198
 
3.4%
Other values (60) 2664
45.7%
CJK
ValueCountFrequency (%)
78
 
13.7%
54
 
9.5%
20
 
3.5%
15
 
2.6%
15
 
2.6%
15
 
2.6%
14
 
2.5%
12
 
2.1%
12
 
2.1%
12
 
2.1%
Other values (124) 322
56.6%
None
ValueCountFrequency (%)
48
90.6%
· 3
 
5.7%
2
 
3.8%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.3527
Minimum1963
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:39:25.306260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1963
5-th percentile1996
Q12002
median2006
Q32010
95-th percentile2013
Maximum2020
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4783121
Coefficient of variation (CV)0.0027318447
Kurtosis2.7813111
Mean2005.3527
Median Absolute Deviation (MAD)4
Skewness-0.99504602
Sum20053527
Variance30.011904
MonotonicityNot monotonic
2023-12-13T02:39:25.439757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2011 798
 
8.0%
2009 749
 
7.5%
2008 738
 
7.4%
2012 682
 
6.8%
2007 662
 
6.6%
2010 644
 
6.4%
2006 616
 
6.2%
2003 600
 
6.0%
2004 587
 
5.9%
2005 561
 
5.6%
Other values (38) 3363
33.6%
ValueCountFrequency (%)
1963 2
< 0.1%
1964 2
< 0.1%
1965 1
 
< 0.1%
1967 1
 
< 0.1%
1968 1
 
< 0.1%
1970 1
 
< 0.1%
1971 1
 
< 0.1%
1972 3
< 0.1%
1973 2
< 0.1%
1974 1
 
< 0.1%
ValueCountFrequency (%)
2020 1
 
< 0.1%
2015 1
 
< 0.1%
2014 3
 
< 0.1%
2013 513
5.1%
2012 682
6.8%
2011 798
8.0%
2010 644
6.4%
2009 749
7.5%
2008 738
7.4%
2007 662
6.6%

Interactions

2023-12-13T02:39:21.127126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:39:20.889680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:39:21.266870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:39:21.010988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:39:25.530130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.883
발행년도0.8831.000
2023-12-13T02:39:25.606943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.934
발행년도0.9341.000

Missing values

2023-12-13T02:39:21.487169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:39:21.613723image/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

번호서명저자발행자발행년도
6388063881내 안의 여행유전자이진주 글.사진 ; 정윤현 일러스트가치창조2009
4146141462모든 어린이들이 행복한 세상김평 글 ; 최선경 그림한국노벨2006
4975349754(고독의 병)자살의 심리학다카하시 요시토모 지음 ; 변은숙 옮김알마2007
7784077841인류를 다시 시작하는 장치 : 소중한 지구, 처음부터 다시 시작할 수 없을까?오카다 준 글·그림 ; 김난주 옮김거북이북스2011
97059706머리끝에서 발끝까지... 믿지 말아라알렉산드르 밤삘 로프 지음 ; 강완구 옮김 ; 민애수 그림별과우주1999
5932459325경관색채계획의 이론과 실천이석현 지음미세움2008
2774627747나의 라임오렌지나무J.M.바스콘셀로스 지음 ; 박동원 옮김동녘2003
5331353314촌놈들의 제국주의우석훈 지음개마고원2008
4836548366네덜란드의 건축가 네덜란드의 주거전남일 ; 박혜선 ; 문은미 [공] 지음발언2006
6002160022셰익스피어, 그림으로 읽기권오숙 지음예경2008
번호서명저자발행자발행년도
2317223173부비의 방울방울 빗방울 소풍이혜옥 글 ; 강선경 그림꿈소담이2002
95799580사람의 역사. 2아서 니호프 지음 ; 남경태 옮김푸른숲1999
1686916870거짓말쟁이와 모나리자E. L. 코닉스버그 지음 ; 햇살과나무꾼 옮김사계절2000
6476764768에브리맨필립 로스 지음 ; 정영목 옮김문학동네2009
469470기력테스트조훈현 해설茶山出版社1994
9486094861(Maplestory) 메이플홈런왕. 21, 영웅의 탄생현보아트스쿨 글. 그림재미북스2013
5327253273미디어 철학프랑크 하르트만 지음 ; 이상엽 ; 강웅경 [공]옮김북코리아2008
7336873369인도, 끓다 : 베테랑 특파원이 2년여 테러현장을 누비며 목숨을 걸고 취재한 진짜 인도의 정치·사회·문화 에센스이재강 지음지식의숲2011
60386039사랑의 찬가안느 비아젬스키 지음 ; 문신원 옮김프레스211997
5811458115가정생활과 인간관계김형태 저태영출판사2008