Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory488.3 KiB
Average record size in memory50.0 B

Variable types

Numeric2
Text3

Dataset

Description부산광역시영도구_영도도서관장서현황_20230816
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3069148

Alerts

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

Reproduction

Analysis started2023-12-10 16:19:40.645117
Analysis finished2023-12-10 16:19:43.081106
Duration2.44 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%
Mean47320.389
Minimum8
Maximum95285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:19:43.148729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile4815.5
Q123547.75
median46592
Q371177.25
95-th percentile90768.05
Maximum95285
Range95277
Interquartile range (IQR)47629.5

Descriptive statistics

Standard deviation27477.739
Coefficient of variation (CV)0.58067441
Kurtosis-1.1952142
Mean47320.389
Median Absolute Deviation (MAD)23722
Skewness0.034667461
Sum4.7320389 × 108
Variance7.5502612 × 108
MonotonicityNot monotonic
2023-12-11T01:19:43.268945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74323 1
 
< 0.1%
52598 1
 
< 0.1%
15744 1
 
< 0.1%
41423 1
 
< 0.1%
28645 1
 
< 0.1%
82867 1
 
< 0.1%
47932 1
 
< 0.1%
59002 1
 
< 0.1%
48013 1
 
< 0.1%
74799 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
8 1
< 0.1%
56 1
< 0.1%
72 1
< 0.1%
75 1
< 0.1%
82 1
< 0.1%
83 1
< 0.1%
90 1
< 0.1%
92 1
< 0.1%
94 1
< 0.1%
111 1
< 0.1%
ValueCountFrequency (%)
95285 1
< 0.1%
95275 1
< 0.1%
95272 1
< 0.1%
95271 1
< 0.1%
95254 1
< 0.1%
95249 1
< 0.1%
95238 1
< 0.1%
95220 1
< 0.1%
95210 1
< 0.1%
95184 1
< 0.1%

서명
Text

Distinct9891
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:19:43.607806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length167
Median length72
Mean length15.968
Min length1

Characters and Unicode

Total characters159680
Distinct characters1819
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9788 ?
Unique (%)97.9%

Sample

1st row그리고 투명한 내 마음
2nd row고구려 이야기
3rd row통일은 참 쉽다
4th row와작와작 아삭아삭 킁킁 벌름벌름
5th row비밀의 화원
ValueCountFrequency (%)
2351
 
5.7%
2 353
 
0.9%
1 340
 
0.8%
이야기 311
 
0.8%
위한 154
 
0.4%
3 150
 
0.4%
우리 145
 
0.4%
133
 
0.3%
the 116
 
0.3%
역사 88
 
0.2%
Other values (19622) 37221
90.0%
2023-12-11T01:19:44.121534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31878
 
20.0%
3463
 
2.2%
2832
 
1.8%
: 2222
 
1.4%
1986
 
1.2%
1797
 
1.1%
. 1710
 
1.1%
1582
 
1.0%
1580
 
1.0%
) 1554
 
1.0%
Other values (1809) 109076
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104626
65.5%
Space Separator 31878
 
20.0%
Lowercase Letter 7791
 
4.9%
Other Punctuation 5796
 
3.6%
Decimal Number 3908
 
2.4%
Uppercase Letter 2137
 
1.3%
Close Punctuation 1580
 
1.0%
Open Punctuation 1579
 
1.0%
Dash Punctuation 178
 
0.1%
Math Symbol 149
 
0.1%
Other values (8) 58
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3463
 
3.3%
2832
 
2.7%
1986
 
1.9%
1797
 
1.7%
1582
 
1.5%
1580
 
1.5%
1533
 
1.5%
1386
 
1.3%
1360
 
1.3%
1282
 
1.2%
Other values (1691) 85825
82.0%
Lowercase Letter
ValueCountFrequency (%)
e 1009
13.0%
a 654
 
8.4%
o 648
 
8.3%
i 590
 
7.6%
t 586
 
7.5%
r 570
 
7.3%
n 547
 
7.0%
s 510
 
6.5%
h 395
 
5.1%
l 348
 
4.5%
Other values (16) 1934
24.8%
Uppercase Letter
ValueCountFrequency (%)
T 203
 
9.5%
S 193
 
9.0%
B 150
 
7.0%
C 147
 
6.9%
A 139
 
6.5%
P 111
 
5.2%
E 108
 
5.1%
M 105
 
4.9%
O 95
 
4.4%
I 94
 
4.4%
Other values (16) 792
37.1%
Other Punctuation
ValueCountFrequency (%)
: 2222
38.3%
. 1710
29.5%
, 953
16.4%
! 274
 
4.7%
? 205
 
3.5%
· 139
 
2.4%
' 110
 
1.9%
51
 
0.9%
35
 
0.6%
& 25
 
0.4%
Other values (10) 72
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 1027
26.3%
2 796
20.4%
0 648
16.6%
3 388
 
9.9%
4 242
 
6.2%
5 238
 
6.1%
6 162
 
4.1%
9 160
 
4.1%
8 134
 
3.4%
7 113
 
2.9%
Math Symbol
ValueCountFrequency (%)
= 91
61.1%
~ 26
 
17.4%
+ 13
 
8.7%
7
 
4.7%
< 5
 
3.4%
> 5
 
3.4%
1
 
0.7%
1
 
0.7%
Letter Number
ValueCountFrequency (%)
18
40.9%
18
40.9%
4
 
9.1%
2
 
4.5%
1
 
2.3%
1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 1554
98.4%
] 19
 
1.2%
4
 
0.3%
2
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1553
98.4%
[ 19
 
1.2%
4
 
0.3%
2
 
0.1%
1
 
0.1%
Other Symbol
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
31878
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103293
64.7%
Common 45082
28.2%
Latin 9972
 
6.2%
Han 1333
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3463
 
3.4%
2832
 
2.7%
1986
 
1.9%
1797
 
1.7%
1582
 
1.5%
1580
 
1.5%
1533
 
1.5%
1386
 
1.3%
1360
 
1.3%
1282
 
1.2%
Other values (1213) 84492
81.8%
Han
ValueCountFrequency (%)
34
 
2.6%
33
 
2.5%
24
 
1.8%
22
 
1.7%
21
 
1.6%
20
 
1.5%
19
 
1.4%
17
 
1.3%
17
 
1.3%
16
 
1.2%
Other values (468) 1110
83.3%
Common
ValueCountFrequency (%)
31878
70.7%
: 2222
 
4.9%
. 1710
 
3.8%
) 1554
 
3.4%
( 1553
 
3.4%
1 1027
 
2.3%
, 953
 
2.1%
2 796
 
1.8%
0 648
 
1.4%
3 388
 
0.9%
Other values (50) 2353
 
5.2%
Latin
ValueCountFrequency (%)
e 1009
 
10.1%
a 654
 
6.6%
o 648
 
6.5%
i 590
 
5.9%
t 586
 
5.9%
r 570
 
5.7%
n 547
 
5.5%
s 510
 
5.1%
h 395
 
4.0%
l 348
 
3.5%
Other values (48) 4115
41.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103283
64.7%
ASCII 54723
34.3%
CJK 1285
 
0.8%
None 267
 
0.2%
CJK Compat Ideographs 48
 
< 0.1%
Number Forms 44
 
< 0.1%
Compat Jamo 10
 
< 0.1%
Math Operators 7
 
< 0.1%
Punctuation 5
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31878
58.3%
: 2222
 
4.1%
. 1710
 
3.1%
) 1554
 
2.8%
( 1553
 
2.8%
1 1027
 
1.9%
e 1009
 
1.8%
, 953
 
1.7%
2 796
 
1.5%
a 654
 
1.2%
Other values (76) 11367
 
20.8%
Hangul
ValueCountFrequency (%)
3463
 
3.4%
2832
 
2.7%
1986
 
1.9%
1797
 
1.7%
1582
 
1.5%
1580
 
1.5%
1533
 
1.5%
1386
 
1.3%
1360
 
1.3%
1282
 
1.2%
Other values (1212) 84482
81.8%
None
ValueCountFrequency (%)
· 139
52.1%
51
 
19.1%
35
 
13.1%
13
 
4.9%
5
 
1.9%
5
 
1.9%
4
 
1.5%
4
 
1.5%
­ 2
 
0.7%
2
 
0.7%
Other values (6) 7
 
2.6%
CJK
ValueCountFrequency (%)
34
 
2.6%
33
 
2.6%
24
 
1.9%
22
 
1.7%
21
 
1.6%
20
 
1.6%
19
 
1.5%
17
 
1.3%
17
 
1.3%
16
 
1.2%
Other values (446) 1062
82.6%
Number Forms
ValueCountFrequency (%)
18
40.9%
18
40.9%
4
 
9.1%
2
 
4.5%
1
 
2.3%
1
 
2.3%
Compat Jamo
ValueCountFrequency (%)
10
100.0%
Math Operators
ValueCountFrequency (%)
7
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
5
 
10.4%
5
 
10.4%
5
 
10.4%
4
 
8.3%
3
 
6.2%
3
 
6.2%
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
Other values (12) 14
29.2%
Enclosed Alphanum
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Modifier Letters
ValueCountFrequency (%)
˙ 2
66.7%
˚ 1
33.3%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct9134
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:19:44.499704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length176
Median length123
Mean length15.6463
Min length3

Characters and Unicode

Total characters156463
Distinct characters1403
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8576 ?
Unique (%)85.8%

Sample

1st row베로니크 오발데 지음 ; 김남주 옮김
2nd row민영 지음 ; 이인철 그림
3rd row민족문학작가회의 편 ; 이오덕 엮음
4th row삼성출판사 편집부 편
5th row프랜시스 엘리자 버넷 지음 ; 강명희 엮음 ; 최연희 그림
ValueCountFrequency (%)
7157
 
15.5%
지음 5467
 
11.8%
옮김 2953
 
6.4%
그림 1913
 
4.1%
1500
 
3.2%
538
 
1.2%
by 481
 
1.0%
엮음 358
 
0.8%
공]지음 305
 
0.7%
212
 
0.5%
Other values (14150) 25425
54.9%
2023-12-11T01:19:45.057907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37124
23.7%
; 7132
 
4.6%
6411
 
4.1%
6284
 
4.0%
5287
 
3.4%
3060
 
2.0%
3011
 
1.9%
2443
 
1.6%
2332
 
1.5%
1985
 
1.3%
Other values (1393) 81394
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94433
60.4%
Space Separator 37124
 
23.7%
Lowercase Letter 10596
 
6.8%
Other Punctuation 9185
 
5.9%
Uppercase Letter 2428
 
1.6%
Open Punctuation 1284
 
0.8%
Close Punctuation 1284
 
0.8%
Decimal Number 68
 
< 0.1%
Dash Punctuation 34
 
< 0.1%
Math Symbol 22
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6411
 
6.8%
6284
 
6.7%
5287
 
5.6%
3060
 
3.2%
3011
 
3.2%
2443
 
2.6%
2332
 
2.5%
1985
 
2.1%
1386
 
1.5%
1361
 
1.4%
Other values (1303) 60873
64.5%
Lowercase Letter
ValueCountFrequency (%)
e 1205
11.4%
a 1052
9.9%
r 946
 
8.9%
l 837
 
7.9%
t 762
 
7.2%
n 723
 
6.8%
i 684
 
6.5%
y 673
 
6.4%
s 569
 
5.4%
o 548
 
5.2%
Other values (16) 2597
24.5%
Uppercase Letter
ValueCountFrequency (%)
B 307
 
12.6%
S 219
 
9.0%
M 189
 
7.8%
J 145
 
6.0%
C 134
 
5.5%
A 133
 
5.5%
I 128
 
5.3%
D 118
 
4.9%
P 115
 
4.7%
R 112
 
4.6%
Other values (15) 828
34.1%
Other Punctuation
ValueCountFrequency (%)
; 7132
77.6%
. 1492
 
16.2%
, 356
 
3.9%
· 156
 
1.7%
: 16
 
0.2%
& 13
 
0.1%
' 11
 
0.1%
/ 3
 
< 0.1%
3
 
< 0.1%
" 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 16
23.5%
0 14
20.6%
2 9
13.2%
3 8
11.8%
5 5
 
7.4%
4 5
 
7.4%
6 4
 
5.9%
9 4
 
5.9%
8 2
 
2.9%
7 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
[ 1273
99.1%
( 6
 
0.5%
2
 
0.2%
2
 
0.2%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
] 1273
99.1%
) 6
 
0.5%
2
 
0.2%
2
 
0.2%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 10
45.5%
< 10
45.5%
+ 2
 
9.1%
Space Separator
ValueCountFrequency (%)
37124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93387
59.7%
Common 49006
31.3%
Latin 13024
 
8.3%
Han 1038
 
0.7%
Katakana 7
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6411
 
6.9%
6284
 
6.7%
5287
 
5.7%
3060
 
3.3%
3011
 
3.2%
2443
 
2.6%
2332
 
2.5%
1985
 
2.1%
1386
 
1.5%
1361
 
1.5%
Other values (899) 59827
64.1%
Han
ValueCountFrequency (%)
116
 
11.2%
38
 
3.7%
33
 
3.2%
28
 
2.7%
28
 
2.7%
17
 
1.6%
15
 
1.4%
12
 
1.2%
12
 
1.2%
12
 
1.2%
Other values (386) 727
70.0%
Latin
ValueCountFrequency (%)
e 1205
 
9.3%
a 1052
 
8.1%
r 946
 
7.3%
l 837
 
6.4%
t 762
 
5.9%
n 723
 
5.6%
i 684
 
5.3%
y 673
 
5.2%
s 569
 
4.4%
o 548
 
4.2%
Other values (41) 5025
38.6%
Common
ValueCountFrequency (%)
37124
75.8%
; 7132
 
14.6%
. 1492
 
3.0%
[ 1273
 
2.6%
] 1273
 
2.6%
, 356
 
0.7%
· 156
 
0.3%
- 34
 
0.1%
1 16
 
< 0.1%
: 16
 
< 0.1%
Other values (29) 134
 
0.3%
Katakana
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Hiragana
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93380
59.7%
ASCII 61857
39.5%
CJK 983
 
0.6%
None 169
 
0.1%
CJK Compat Ideographs 55
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Katakana 7
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37124
60.0%
; 7132
 
11.5%
. 1492
 
2.4%
[ 1273
 
2.1%
] 1273
 
2.1%
e 1205
 
1.9%
a 1052
 
1.7%
r 946
 
1.5%
l 837
 
1.4%
t 762
 
1.2%
Other values (70) 8761
 
14.2%
Hangul
ValueCountFrequency (%)
6411
 
6.9%
6284
 
6.7%
5287
 
5.7%
3060
 
3.3%
3011
 
3.2%
2443
 
2.6%
2332
 
2.5%
1985
 
2.1%
1386
 
1.5%
1361
 
1.5%
Other values (898) 59820
64.1%
None
ValueCountFrequency (%)
· 156
92.3%
3
 
1.8%
2
 
1.2%
2
 
1.2%
2
 
1.2%
2
 
1.2%
1
 
0.6%
1
 
0.6%
CJK
ValueCountFrequency (%)
116
 
11.8%
38
 
3.9%
33
 
3.4%
28
 
2.8%
17
 
1.7%
15
 
1.5%
12
 
1.2%
12
 
1.2%
12
 
1.2%
12
 
1.2%
Other values (368) 688
70.0%
CJK Compat Ideographs
ValueCountFrequency (%)
28
50.9%
5
 
9.1%
4
 
7.3%
3
 
5.5%
2
 
3.6%
1
 
1.8%
1
 
1.8%
1
 
1.8%
1
 
1.8%
1
 
1.8%
Other values (8) 8
 
14.5%
Compat Jamo
ValueCountFrequency (%)
7
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
3
100.0%
Katakana
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%
Hiragana
ValueCountFrequency (%)
1
100.0%
Distinct2902
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:19:45.344898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length4.4958
Min length1

Characters and Unicode

Total characters44958
Distinct characters851
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

Unique1611 ?
Unique (%)16.1%

Sample

1st row뮤진트리
2nd row창작과비평사
3rd row산하
4th row삼성출판사
5th row지경사
ValueCountFrequency (%)
문학동네 160
 
1.5%
비룡소 108
 
1.0%
민음사 102
 
1.0%
김영사 90
 
0.9%
주니어김영사 79
 
0.8%
시공사 73
 
0.7%
창비 69
 
0.7%
문학과지성사 68
 
0.6%
사계절 67
 
0.6%
books 62
 
0.6%
Other values (2926) 9625
91.6%
2023-12-11T01:19:45.789936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2367
 
5.3%
1046
 
2.3%
1005
 
2.2%
855
 
1.9%
792
 
1.8%
764
 
1.7%
752
 
1.7%
750
 
1.7%
697
 
1.6%
o 563
 
1.3%
Other values (841) 35367
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38838
86.4%
Lowercase Letter 3949
 
8.8%
Uppercase Letter 1257
 
2.8%
Space Separator 503
 
1.1%
Other Punctuation 187
 
0.4%
Decimal Number 158
 
0.4%
Open Punctuation 24
 
0.1%
Close Punctuation 24
 
0.1%
Dash Punctuation 14
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2367
 
6.1%
1046
 
2.7%
1005
 
2.6%
855
 
2.2%
792
 
2.0%
764
 
2.0%
752
 
1.9%
750
 
1.9%
697
 
1.8%
551
 
1.4%
Other values (764) 29259
75.3%
Lowercase Letter
ValueCountFrequency (%)
o 563
14.3%
s 372
 
9.4%
n 301
 
7.6%
i 289
 
7.3%
e 289
 
7.3%
a 273
 
6.9%
r 272
 
6.9%
l 224
 
5.7%
k 152
 
3.8%
h 141
 
3.6%
Other values (15) 1073
27.2%
Uppercase Letter
ValueCountFrequency (%)
B 183
14.6%
H 121
 
9.6%
C 118
 
9.4%
S 112
 
8.9%
M 103
 
8.2%
P 72
 
5.7%
I 67
 
5.3%
O 66
 
5.3%
L 54
 
4.3%
A 51
 
4.1%
Other values (13) 310
24.7%
Other Punctuation
ValueCountFrequency (%)
& 56
29.9%
32
17.1%
. 30
16.0%
: 24
12.8%
, 16
 
8.6%
' 14
 
7.5%
@ 5
 
2.7%
? 3
 
1.6%
; 2
 
1.1%
· 2
 
1.1%
Other values (3) 3
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 76
48.1%
2 75
47.5%
9 2
 
1.3%
0 1
 
0.6%
4 1
 
0.6%
5 1
 
0.6%
8 1
 
0.6%
6 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 21
87.5%
[ 3
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 21
87.5%
] 3
 
12.5%
Space Separator
ValueCountFrequency (%)
503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38244
85.1%
Latin 5206
 
11.6%
Common 911
 
2.0%
Han 597
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2367
 
6.2%
1046
 
2.7%
1005
 
2.6%
855
 
2.2%
792
 
2.1%
764
 
2.0%
752
 
2.0%
750
 
2.0%
697
 
1.8%
551
 
1.4%
Other values (615) 28665
75.0%
Han
ValueCountFrequency (%)
74
 
12.4%
53
 
8.9%
19
 
3.2%
18
 
3.0%
16
 
2.7%
16
 
2.7%
15
 
2.5%
15
 
2.5%
14
 
2.3%
14
 
2.3%
Other values (140) 343
57.5%
Latin
ValueCountFrequency (%)
o 563
 
10.8%
s 372
 
7.1%
n 301
 
5.8%
i 289
 
5.6%
e 289
 
5.6%
a 273
 
5.2%
r 272
 
5.2%
l 224
 
4.3%
B 183
 
3.5%
k 152
 
2.9%
Other values (38) 2288
43.9%
Common
ValueCountFrequency (%)
503
55.2%
1 76
 
8.3%
2 75
 
8.2%
& 56
 
6.1%
32
 
3.5%
. 30
 
3.3%
: 24
 
2.6%
( 21
 
2.3%
) 21
 
2.3%
, 16
 
1.8%
Other values (18) 57
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38241
85.1%
ASCII 6081
 
13.5%
CJK 597
 
1.3%
None 39
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2367
 
6.2%
1046
 
2.7%
1005
 
2.6%
855
 
2.2%
792
 
2.1%
764
 
2.0%
752
 
2.0%
750
 
2.0%
697
 
1.8%
551
 
1.4%
Other values (614) 28662
75.0%
ASCII
ValueCountFrequency (%)
o 563
 
9.3%
503
 
8.3%
s 372
 
6.1%
n 301
 
4.9%
i 289
 
4.8%
e 289
 
4.8%
a 273
 
4.5%
r 272
 
4.5%
l 224
 
3.7%
B 183
 
3.0%
Other values (62) 2812
46.2%
CJK
ValueCountFrequency (%)
74
 
12.4%
53
 
8.9%
19
 
3.2%
18
 
3.0%
16
 
2.7%
16
 
2.7%
15
 
2.5%
15
 
2.5%
14
 
2.3%
14
 
2.3%
Other values (140) 343
57.5%
None
ValueCountFrequency (%)
32
82.1%
3
 
7.7%
· 2
 
5.1%
1
 
2.6%
1
 
2.6%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.3047
Minimum1922
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:19:45.964329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1922
5-th percentile1996
Q12002
median2006
Q32010
95-th percentile2012
Maximum2014
Range92
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5341594
Coefficient of variation (CV)0.0027597599
Kurtosis9.4515534
Mean2005.3047
Median Absolute Deviation (MAD)4
Skewness-1.4367549
Sum20053047
Variance30.626921
MonotonicityNot monotonic
2023-12-11T01:19:46.111334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2011 794
 
7.9%
2009 724
 
7.2%
2012 699
 
7.0%
2008 668
 
6.7%
2006 665
 
6.7%
2007 647
 
6.5%
2010 637
 
6.4%
2003 630
 
6.3%
2005 626
 
6.3%
2004 560
 
5.6%
Other values (36) 3350
33.5%
ValueCountFrequency (%)
1922 1
< 0.1%
1947 1
< 0.1%
1958 1
< 0.1%
1960 1
< 0.1%
1961 1
< 0.1%
1963 2
< 0.1%
1965 2
< 0.1%
1967 1
< 0.1%
1968 2
< 0.1%
1970 2
< 0.1%
ValueCountFrequency (%)
2014 2
 
< 0.1%
2013 487
4.9%
2012 699
7.0%
2011 794
7.9%
2010 637
6.4%
2009 724
7.2%
2008 668
6.7%
2007 647
6.5%
2006 665
6.7%
2005 626
6.3%

Interactions

2023-12-11T01:19:42.729023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:42.531049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:42.807589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:42.609325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:19:46.194772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.639
발행년도0.6391.000
2023-12-11T01:19:46.268221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도
번호1.0000.929
발행년도0.9291.000

Missing values

2023-12-11T01:19:42.925195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:19:43.026975image/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
7432274323그리고 투명한 내 마음베로니크 오발데 지음 ; 김남주 옮김뮤진트리2011
86658666고구려 이야기민영 지음 ; 이인철 그림창작과비평사1998
3359433595통일은 참 쉽다민족문학작가회의 편 ; 이오덕 엮음산하2004
5014550146와작와작 아삭아삭 킁킁 벌름벌름삼성출판사 편집부 편삼성출판사2004
2922829229비밀의 화원프랜시스 엘리자 버넷 지음 ; 강명희 엮음 ; 최연희 그림지경사2003
8314383144밀실의 열쇠를 빌려드립니다히가시가와 도쿠야 지음 ; 임희선 옮김지식여행2011
6959069591테러리즘, 누군가의 해방 투쟁찰스 타운센트 지음 ; 심승우 옮김한겨레출판2010
9305293053혼불. 8, 4부, 꽃심을 지닌 땅최명희 지음매안2013
2268722688제천의병의 이념적 기반과 전개정성원...[등]저이회문화사2002
7238872389너를 위한 해피엔딩쇼지 유키야 지음 ; 김윤수 옮김다산북스2010
번호서명저자발행자발행년도
89988999시공디스커버리총서. 87 : 해양고고학-암초에 걸린 유물들Jean-Yves Blot 지음 ; 윤명희 옮김시공사1998
7709877099아름다운 진화 : 서초수필문학회 ·열 번째 이야기서초수필문학회 지음문학관2011
5116851169(내 안의 영웅 이야기) 내 얘기 좀 들어볼래?플릭스 글,그림 ; 윤혜정 옮김서해문집2007
9127891279정관정요 : 리더십의 영원한 고전오긍 지음 ; 김원중 옮김글항아리2013
85198520미학강의. 2M.S.까간 지음 ; 진중권 옮김새길1998
3558135582(영원한 지식인)정약용한상남 글 ; 이덕진 그림지경사2005
1771717718지구를 떠나거라테리 디어리 ; 바바라 앨런 지음 ; 송현옥 옮김주니어김영사2001
8662986630노빈손 프랑스대혁명에 불을 지펴라구현 지음 ; 이우일 일러스트뜨인돌2012
6204062041진정한 사람되기 : 칼 로저스 상담의 원리와 실제Carl R. Rogers 저 ; 주은선 역학지사2009
8319883199열과 에너지임재근 글 ; 박장규 ; 최주석 [공]그림교원2011