Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells7
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Numeric1
Text4
Categorical2
DateTime1

Dataset

Description경기도 용인시 도서관이 보유한 전자책(e-book) 현황입니다. 서명, 저자, 발행년, 형태사항 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2023-04-30
URLhttps://www.data.go.kr/data/15000735/fileData.do

Alerts

구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
No is highly overall correlated with 발행년High correlation
발행년 is highly overall correlated with NoHigh correlation
No has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:53:15.486666
Analysis finished2023-12-12 19:53:17.837156
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9726.682
Minimum1
Maximum19447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:53:17.945182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1022.9
Q14948.25
median9667.5
Q314565.25
95-th percentile18437.05
Maximum19447
Range19446
Interquartile range (IQR)9617

Descriptive statistics

Standard deviation5580.4825
Coefficient of variation (CV)0.57372931
Kurtosis-1.1877399
Mean9726.682
Median Absolute Deviation (MAD)4808
Skewness0.0069879119
Sum97266820
Variance31141785
MonotonicityNot monotonic
2023-12-13T04:53:18.388862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19372 1
 
< 0.1%
17747 1
 
< 0.1%
1453 1
 
< 0.1%
17754 1
 
< 0.1%
2851 1
 
< 0.1%
14627 1
 
< 0.1%
8700 1
 
< 0.1%
19328 1
 
< 0.1%
13850 1
 
< 0.1%
16895 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
23 1
< 0.1%
ValueCountFrequency (%)
19447 1
< 0.1%
19444 1
< 0.1%
19443 1
< 0.1%
19442 1
< 0.1%
19441 1
< 0.1%
19440 1
< 0.1%
19439 1
< 0.1%
19438 1
< 0.1%
19437 1
< 0.1%
19436 1
< 0.1%

서명
Text

Distinct9834
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:53:18.849482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length76
Mean length21.157
Min length1

Characters and Unicode

Total characters211570
Distinct characters1520
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9702 ?
Unique (%)97.0%

Sample

1st row50가지 유명한 이야기. 1-1
2nd row죽은 철학자의 살아있는 인생수업 : 철학은 어떻게 삶에 도움이 되는가
3rd row취서만필 : 책에 취해 마음 가는 대로 쓰다
4th row(4,300킬로미터를 걷는 동안) 길 위에서 나는 조금 더 솔직해졌다
5th row내가 너를 구할 수 있을까 : 루스 오제키 장편소설
ValueCountFrequency (%)
4052
 
7.2%
1 689
 
1.2%
2 685
 
1.2%
이야기 379
 
0.7%
위한 330
 
0.6%
장편소설 253
 
0.4%
231
 
0.4%
나는 169
 
0.3%
3 157
 
0.3%
the 155
 
0.3%
Other values (20564) 49474
87.5%
2023-12-13T04:53:19.393192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46997
 
22.2%
3847
 
1.8%
3842
 
1.8%
: 3639
 
1.7%
3445
 
1.6%
. 2262
 
1.1%
2205
 
1.0%
1952
 
0.9%
1901
 
0.9%
1893
 
0.9%
Other values (1510) 139587
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135026
63.8%
Space Separator 46997
 
22.2%
Lowercase Letter 9925
 
4.7%
Other Punctuation 8561
 
4.0%
Decimal Number 5391
 
2.5%
Uppercase Letter 2274
 
1.1%
Close Punctuation 1320
 
0.6%
Open Punctuation 1318
 
0.6%
Math Symbol 428
 
0.2%
Dash Punctuation 285
 
0.1%
Other values (6) 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3847
 
2.8%
3842
 
2.8%
3445
 
2.6%
2205
 
1.6%
1952
 
1.4%
1901
 
1.4%
1893
 
1.4%
1877
 
1.4%
1785
 
1.3%
1773
 
1.3%
Other values (1385) 110506
81.8%
Lowercase Letter
ValueCountFrequency (%)
e 1275
12.8%
o 823
 
8.3%
a 788
 
7.9%
n 752
 
7.6%
i 743
 
7.5%
t 723
 
7.3%
r 655
 
6.6%
s 609
 
6.1%
l 462
 
4.7%
h 453
 
4.6%
Other values (22) 2642
26.6%
Uppercase Letter
ValueCountFrequency (%)
T 238
 
10.5%
S 226
 
9.9%
E 200
 
8.8%
C 176
 
7.7%
O 138
 
6.1%
A 137
 
6.0%
B 116
 
5.1%
P 110
 
4.8%
I 107
 
4.7%
N 86
 
3.8%
Other values (18) 740
32.5%
Other Punctuation
ValueCountFrequency (%)
: 3639
42.5%
. 2262
26.4%
, 1554
18.2%
! 384
 
4.5%
? 234
 
2.7%
' 158
 
1.8%
· 98
 
1.1%
/ 81
 
0.9%
% 65
 
0.8%
& 23
 
0.3%
Other values (10) 63
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 1580
29.3%
2 1192
22.1%
0 892
16.5%
3 543
 
10.1%
5 300
 
5.6%
4 268
 
5.0%
7 167
 
3.1%
9 166
 
3.1%
8 143
 
2.7%
6 140
 
2.6%
Math Symbol
ValueCountFrequency (%)
= 315
73.6%
~ 28
 
6.5%
> 27
 
6.3%
< 27
 
6.3%
+ 23
 
5.4%
| 3
 
0.7%
× 2
 
0.5%
÷ 2
 
0.5%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1285
97.3%
] 24
 
1.8%
4
 
0.3%
3
 
0.2%
3
 
0.2%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1283
97.3%
[ 24
 
1.8%
4
 
0.3%
3
 
0.2%
3
 
0.2%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
10
38.5%
7
26.9%
5
19.2%
2
 
7.7%
1
 
3.8%
1
 
3.8%
Other Symbol
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
46997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 285
100.0%
Final Punctuation
ValueCountFrequency (%)
5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134819
63.7%
Common 64319
30.4%
Latin 12216
 
5.8%
Han 207
 
0.1%
Cyrillic 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3847
 
2.9%
3842
 
2.8%
3445
 
2.6%
2205
 
1.6%
1952
 
1.4%
1901
 
1.4%
1893
 
1.4%
1877
 
1.4%
1785
 
1.3%
1773
 
1.3%
Other values (1254) 110299
81.8%
Han
ValueCountFrequency (%)
9
 
4.3%
9
 
4.3%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
4
 
1.9%
4
 
1.9%
4
 
1.9%
Other values (121) 151
72.9%
Common
ValueCountFrequency (%)
46997
73.1%
: 3639
 
5.7%
. 2262
 
3.5%
1 1580
 
2.5%
, 1554
 
2.4%
) 1285
 
2.0%
( 1283
 
2.0%
2 1192
 
1.9%
0 892
 
1.4%
3 543
 
0.8%
Other values (49) 3092
 
4.8%
Latin
ValueCountFrequency (%)
e 1275
 
10.4%
o 823
 
6.7%
a 788
 
6.5%
n 752
 
6.2%
i 743
 
6.1%
t 723
 
5.9%
r 655
 
5.4%
s 609
 
5.0%
l 462
 
3.8%
h 453
 
3.7%
Other values (48) 4933
40.4%
Cyrillic
ValueCountFrequency (%)
е 2
22.2%
и 1
11.1%
ч 1
11.1%
о 1
11.1%
Н 1
11.1%
ы 1
11.1%
л 1
11.1%
Б 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134807
63.7%
ASCII 76347
36.1%
CJK 201
 
0.1%
None 141
 
0.1%
Number Forms 26
 
< 0.1%
Punctuation 16
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Cyrillic 9
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%
Box Drawing 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46997
61.6%
: 3639
 
4.8%
. 2262
 
3.0%
1 1580
 
2.1%
, 1554
 
2.0%
) 1285
 
1.7%
( 1283
 
1.7%
e 1275
 
1.7%
2 1192
 
1.6%
0 892
 
1.2%
Other values (78) 14388
 
18.8%
Hangul
ValueCountFrequency (%)
3847
 
2.9%
3842
 
2.9%
3445
 
2.6%
2205
 
1.6%
1952
 
1.4%
1901
 
1.4%
1893
 
1.4%
1877
 
1.4%
1785
 
1.3%
1773
 
1.3%
Other values (1249) 110287
81.8%
None
ValueCountFrequency (%)
· 98
69.5%
9
 
6.4%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
2
 
1.4%
× 2
 
1.4%
Other values (7) 10
 
7.1%
Number Forms
ValueCountFrequency (%)
10
38.5%
7
26.9%
5
19.2%
2
 
7.7%
1
 
3.8%
1
 
3.8%
CJK
ValueCountFrequency (%)
9
 
4.5%
9
 
4.5%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
Other values (116) 145
72.1%
Punctuation
ValueCountFrequency (%)
7
43.8%
5
31.2%
4
25.0%
Compat Jamo
ValueCountFrequency (%)
5
41.7%
2
 
16.7%
2
 
16.7%
2
 
16.7%
1
 
8.3%
Box Drawing
ValueCountFrequency (%)
3
100.0%
Cyrillic
ValueCountFrequency (%)
е 2
22.2%
и 1
11.1%
ч 1
11.1%
о 1
11.1%
Н 1
11.1%
ы 1
11.1%
л 1
11.1%
Б 1
11.1%
CJK Compat Ideographs
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

저자
Text

Distinct6910
Distinct (%)69.1%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T04:53:19.837884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length57
Mean length11.218909
Min length2

Characters and Unicode

Total characters112133
Distinct characters893
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5831 ?
Unique (%)58.3%

Sample

1st row제임스 볼드윈 저 ; 동신편집부 편
2nd row시라토리 하루히코, 지지엔즈 [공]지음 ; 김지윤 옮김
3rd row장석주 지음
4th row이수현 지음
5th row루스 오제키 지음 ; 민은영 옮김
ValueCountFrequency (%)
지음 6072
 
18.0%
3261
 
9.7%
원작 1303
 
3.9%
옮김 1274
 
3.8%
연출 1272
 
3.8%
그림 670
 
2.0%
편집부 518
 
1.5%
384
 
1.1%
오디언 305
 
0.9%
275
 
0.8%
Other values (8551) 18324
54.4%
2023-12-13T04:53:20.438878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25381
22.6%
6927
 
6.2%
6541
 
5.8%
; 3268
 
2.9%
3085
 
2.8%
2506
 
2.2%
1742
 
1.6%
1737
 
1.5%
1654
 
1.5%
1317
 
1.2%
Other values (883) 57975
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77890
69.5%
Space Separator 25381
 
22.6%
Other Punctuation 4645
 
4.1%
Lowercase Letter 1570
 
1.4%
Uppercase Letter 954
 
0.9%
Close Punctuation 784
 
0.7%
Open Punctuation 782
 
0.7%
Decimal Number 85
 
0.1%
Math Symbol 25
 
< 0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6927
 
8.9%
6541
 
8.4%
3085
 
4.0%
2506
 
3.2%
1742
 
2.2%
1737
 
2.2%
1654
 
2.1%
1317
 
1.7%
1315
 
1.7%
1268
 
1.6%
Other values (801) 49798
63.9%
Lowercase Letter
ValueCountFrequency (%)
a 180
11.5%
i 160
10.2%
e 151
 
9.6%
r 146
 
9.3%
n 139
 
8.9%
o 101
 
6.4%
t 91
 
5.8%
l 83
 
5.3%
s 74
 
4.7%
g 58
 
3.7%
Other values (14) 387
24.6%
Uppercase Letter
ValueCountFrequency (%)
B 167
17.5%
M 123
12.9%
S 93
9.7%
Y 89
9.3%
J 58
 
6.1%
K 52
 
5.5%
E 43
 
4.5%
T 42
 
4.4%
C 38
 
4.0%
D 30
 
3.1%
Other values (14) 219
23.0%
Other Punctuation
ValueCountFrequency (%)
; 3268
70.4%
, 773
 
16.6%
: 253
 
5.4%
. 203
 
4.4%
· 106
 
2.3%
/ 25
 
0.5%
? 8
 
0.2%
' 4
 
0.1%
& 2
 
< 0.1%
2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 38
44.7%
2 13
 
15.3%
4 13
 
15.3%
5 5
 
5.9%
0 4
 
4.7%
6 3
 
3.5%
9 3
 
3.5%
7 2
 
2.4%
3 2
 
2.4%
8 2
 
2.4%
Close Punctuation
ValueCountFrequency (%)
] 778
99.2%
3
 
0.4%
) 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
[ 776
99.2%
( 3
 
0.4%
3
 
0.4%
Math Symbol
ValueCountFrequency (%)
> 12
48.0%
< 12
48.0%
1
 
4.0%
Other Symbol
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
25381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77876
69.4%
Common 31715
28.3%
Latin 2524
 
2.3%
Han 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6927
 
8.9%
6541
 
8.4%
3085
 
4.0%
2506
 
3.2%
1742
 
2.2%
1737
 
2.2%
1654
 
2.1%
1317
 
1.7%
1315
 
1.7%
1268
 
1.6%
Other values (787) 49784
63.9%
Latin
ValueCountFrequency (%)
a 180
 
7.1%
B 167
 
6.6%
i 160
 
6.3%
e 151
 
6.0%
r 146
 
5.8%
n 139
 
5.5%
M 123
 
4.9%
o 101
 
4.0%
S 93
 
3.7%
t 91
 
3.6%
Other values (38) 1173
46.5%
Common
ValueCountFrequency (%)
25381
80.0%
; 3268
 
10.3%
] 778
 
2.5%
[ 776
 
2.4%
, 773
 
2.4%
: 253
 
0.8%
. 203
 
0.6%
· 106
 
0.3%
1 38
 
0.1%
/ 25
 
0.1%
Other values (23) 114
 
0.4%
Han
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (5) 5
27.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77872
69.4%
ASCII 34123
30.4%
None 119
 
0.1%
CJK 15
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25381
74.4%
; 3268
 
9.6%
] 778
 
2.3%
[ 776
 
2.3%
, 773
 
2.3%
: 253
 
0.7%
. 203
 
0.6%
a 180
 
0.5%
B 167
 
0.5%
i 160
 
0.5%
Other values (65) 2184
 
6.4%
Hangul
ValueCountFrequency (%)
6927
 
8.9%
6541
 
8.4%
3085
 
4.0%
2506
 
3.2%
1742
 
2.2%
1737
 
2.2%
1654
 
2.1%
1317
 
1.7%
1315
 
1.7%
1268
 
1.6%
Other values (786) 49780
63.9%
None
ValueCountFrequency (%)
· 106
89.1%
4
 
3.4%
3
 
2.5%
3
 
2.5%
2
 
1.7%
1
 
0.8%
CJK
ValueCountFrequency (%)
2
13.3%
2
13.3%
2
13.3%
1
6.7%
1
6.7%
1
6.7%
1
6.7%
1
6.7%
1
6.7%
1
6.7%
Other values (2) 2
13.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Box Drawing
ValueCountFrequency (%)
1
100.0%
Distinct1642
Distinct (%)16.4%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T04:53:20.775067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length5.359872
Min length1

Characters and Unicode

Total characters53588
Distinct characters632
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique739 ?
Unique (%)7.4%

Sample

1st row동신(서울
2nd row포레스트북스
3rd row평단문화사
4th row알에이치코리아
5th row엘리
ValueCountFrequency (%)
오디언소리 966
 
8.9%
한솔씨앤엠 418
 
3.8%
한솔인티큐브 359
 
3.3%
오디언 320
 
2.9%
공급 320
 
2.9%
작가문화 307
 
2.8%
인티큐브 290
 
2.7%
북토피아 278
 
2.6%
위즈덤하우스 130
 
1.2%
21세기북스 108
 
1.0%
Other values (1632) 7375
67.8%
2023-12-13T04:53:21.272775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1755
 
3.3%
1728
 
3.2%
1653
 
3.1%
( 1644
 
3.1%
1552
 
2.9%
1539
 
2.9%
1399
 
2.6%
1380
 
2.6%
1325
 
2.5%
1314
 
2.5%
Other values (622) 38299
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48232
90.0%
Open Punctuation 1971
 
3.7%
Space Separator 875
 
1.6%
Uppercase Letter 810
 
1.5%
Lowercase Letter 753
 
1.4%
Close Punctuation 505
 
0.9%
Decimal Number 302
 
0.6%
Other Punctuation 126
 
0.2%
Other Symbol 13
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1755
 
3.6%
1728
 
3.6%
1653
 
3.4%
1552
 
3.2%
1539
 
3.2%
1399
 
2.9%
1380
 
2.9%
1325
 
2.7%
1314
 
2.7%
1069
 
2.2%
Other values (550) 33518
69.5%
Uppercase Letter
ValueCountFrequency (%)
B 151
18.6%
M 115
14.2%
Y 82
10.1%
K 56
 
6.9%
H 50
 
6.2%
S 48
 
5.9%
O 42
 
5.2%
E 40
 
4.9%
R 33
 
4.1%
P 28
 
3.5%
Other values (15) 165
20.4%
Lowercase Letter
ValueCountFrequency (%)
o 140
18.6%
e 129
17.1%
a 71
9.4%
r 55
 
7.3%
k 41
 
5.4%
t 39
 
5.2%
s 37
 
4.9%
n 33
 
4.4%
b 32
 
4.2%
i 32
 
4.2%
Other values (15) 144
19.1%
Other Punctuation
ValueCountFrequency (%)
: 90
71.4%
& 16
 
12.7%
. 15
 
11.9%
1
 
0.8%
· 1
 
0.8%
? 1
 
0.8%
, 1
 
0.8%
# 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 141
46.7%
1 129
42.7%
0 15
 
5.0%
3 11
 
3.6%
4 3
 
1.0%
6 2
 
0.7%
5 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 1644
83.4%
[ 327
 
16.6%
Close Punctuation
ValueCountFrequency (%)
] 327
64.8%
) 178
35.2%
Space Separator
ValueCountFrequency (%)
875
100.0%
Other Symbol
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48210
90.0%
Common 3780
 
7.1%
Latin 1563
 
2.9%
Han 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1755
 
3.6%
1728
 
3.6%
1653
 
3.4%
1552
 
3.2%
1539
 
3.2%
1399
 
2.9%
1380
 
2.9%
1325
 
2.7%
1314
 
2.7%
1069
 
2.2%
Other values (542) 33496
69.5%
Latin
ValueCountFrequency (%)
B 151
 
9.7%
o 140
 
9.0%
e 129
 
8.3%
M 115
 
7.4%
Y 82
 
5.2%
a 71
 
4.5%
K 56
 
3.6%
r 55
 
3.5%
H 50
 
3.2%
S 48
 
3.1%
Other values (40) 666
42.6%
Common
ValueCountFrequency (%)
( 1644
43.5%
875
23.1%
[ 327
 
8.7%
] 327
 
8.7%
) 178
 
4.7%
2 141
 
3.7%
1 129
 
3.4%
: 90
 
2.4%
& 16
 
0.4%
. 15
 
0.4%
Other values (11) 38
 
1.0%
Han
ValueCountFrequency (%)
14
40.0%
14
40.0%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48197
89.9%
ASCII 5341
 
10.0%
CJK 35
 
0.1%
None 15
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1755
 
3.6%
1728
 
3.6%
1653
 
3.4%
1552
 
3.2%
1539
 
3.2%
1399
 
2.9%
1380
 
2.9%
1325
 
2.7%
1314
 
2.7%
1069
 
2.2%
Other values (541) 33483
69.5%
ASCII
ValueCountFrequency (%)
( 1644
30.8%
875
16.4%
[ 327
 
6.1%
] 327
 
6.1%
) 178
 
3.3%
B 151
 
2.8%
2 141
 
2.6%
o 140
 
2.6%
1 129
 
2.4%
e 129
 
2.4%
Other values (59) 1300
24.3%
CJK
ValueCountFrequency (%)
14
40.0%
14
40.0%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
None
ValueCountFrequency (%)
13
86.7%
1
 
6.7%
· 1
 
6.7%

발행년
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2003
1563 
2009
871 
2007
825 
2021
614 
2004
 
509
Other values (29)
5618 

Length

Max length6
Median length4
Mean length4.0142
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row2000
2nd row2020
3rd row2009
4th row2019
5th row2017

Common Values

ValueCountFrequency (%)
2003 1563
15.6%
2009 871
 
8.7%
2007 825
 
8.2%
2021 614
 
6.1%
2004 509
 
5.1%
2008 474
 
4.7%
2016 456
 
4.6%
2020 451
 
4.5%
2006 440
 
4.4%
2019 429
 
4.3%
Other values (24) 3368
33.7%

Length

2023-12-13T04:53:21.454000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003 1563
15.6%
2009 919
 
9.2%
2007 827
 
8.3%
2021 614
 
6.1%
2004 509
 
5.1%
2008 474
 
4.7%
2016 456
 
4.6%
2020 452
 
4.5%
2010 449
 
4.5%
2006 440
 
4.4%
Other values (14) 3297
33.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
10000
100.0%

Length

2023-12-13T04:53:21.594620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:21.704952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000
100.0%
Distinct4287
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:53:21.937890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length13.1704
Min length2

Characters and Unicode

Total characters131704
Distinct characters89
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3849 ?
Unique (%)38.5%

Sample

1st row2.03M;유성, 천연색, 동영상:
2nd row전자책 1책 ;천연색:
3rd row5935K ;천연색:
4th row전자책 1책 ;천연색:
5th row전자책 1책 ;천연색:
ValueCountFrequency (%)
천연색 5499
23.6%
전자책 2662
11.4%
1책 2367
 
10.2%
스테레오 1533
 
6.6%
cm 1315
 
5.7%
음반 1246
 
5.4%
12 744
 
3.2%
디지털 744
 
3.2%
스테레오:12 313
 
1.3%
1책;천연색 295
 
1.3%
Other values (3794) 6550
28.2%
2023-12-13T04:53:22.399130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13268
 
10.1%
: 11375
 
8.6%
1 8374
 
6.4%
7928
 
6.0%
7928
 
6.0%
7928
 
6.0%
; 7789
 
5.9%
5325
 
4.0%
2 3789
 
2.9%
3618
 
2.7%
Other values (79) 54382
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59522
45.2%
Decimal Number 25558
19.4%
Other Punctuation 23531
 
17.9%
Space Separator 13268
 
10.1%
Lowercase Letter 3774
 
2.9%
Uppercase Letter 2071
 
1.6%
Close Punctuation 1989
 
1.5%
Open Punctuation 1989
 
1.5%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7928
13.3%
7928
13.3%
7928
13.3%
5325
 
8.9%
3618
 
6.1%
3033
 
5.1%
2664
 
4.5%
2662
 
4.5%
2240
 
3.8%
2032
 
3.4%
Other values (39) 14164
23.8%
Lowercase Letter
ValueCountFrequency (%)
c 1408
37.3%
m 1408
37.3%
k 809
21.4%
p 64
 
1.7%
s 18
 
0.5%
e 18
 
0.5%
u 15
 
0.4%
r 15
 
0.4%
i 8
 
0.2%
n 5
 
0.1%
Other values (2) 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 8374
32.8%
2 3789
14.8%
5 2142
 
8.4%
3 2011
 
7.9%
4 1942
 
7.6%
0 1716
 
6.7%
6 1705
 
6.7%
7 1393
 
5.5%
8 1332
 
5.2%
9 1154
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
M 1211
58.5%
K 843
40.7%
B 10
 
0.5%
P 3
 
0.1%
R 1
 
< 0.1%
O 1
 
< 0.1%
D 1
 
< 0.1%
C 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 11375
48.3%
; 7789
33.1%
, 3130
 
13.3%
. 1232
 
5.2%
/ 5
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1989
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1989
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66337
50.4%
Hangul 59522
45.2%
Latin 5845
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7928
13.3%
7928
13.3%
7928
13.3%
5325
 
8.9%
3618
 
6.1%
3033
 
5.1%
2664
 
4.5%
2662
 
4.5%
2240
 
3.8%
2032
 
3.4%
Other values (39) 14164
23.8%
Common
ValueCountFrequency (%)
13268
20.0%
: 11375
17.1%
1 8374
12.6%
; 7789
11.7%
2 3789
 
5.7%
, 3130
 
4.7%
5 2142
 
3.2%
3 2011
 
3.0%
) 1989
 
3.0%
( 1989
 
3.0%
Other values (10) 10481
15.8%
Latin
ValueCountFrequency (%)
c 1408
24.1%
m 1408
24.1%
M 1211
20.7%
K 843
14.4%
k 809
13.8%
p 64
 
1.1%
s 18
 
0.3%
e 18
 
0.3%
u 15
 
0.3%
r 15
 
0.3%
Other values (10) 36
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72182
54.8%
Hangul 59522
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13268
18.4%
: 11375
15.8%
1 8374
11.6%
; 7789
10.8%
2 3789
 
5.2%
, 3130
 
4.3%
5 2142
 
3.0%
3 2011
 
2.8%
) 1989
 
2.8%
( 1989
 
2.8%
Other values (30) 16326
22.6%
Hangul
ValueCountFrequency (%)
7928
13.3%
7928
13.3%
7928
13.3%
5325
 
8.9%
3618
 
6.1%
3033
 
5.1%
2664
 
4.5%
2662
 
4.5%
2240
 
3.8%
2032
 
3.4%
Other values (39) 14164
23.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-04-30 00:00:00
Maximum2023-04-30 00:00:00
2023-12-13T04:53:22.523162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:22.632719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:53:17.279510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:53:22.721419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No발행년
No1.0000.896
발행년0.8961.000
2023-12-13T04:53:22.818851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No발행년
No1.0000.587
발행년0.5871.000

Missing values

2023-12-13T04:53:17.445901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:53:17.619271image/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.
2023-12-13T04:53:17.764760image/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

No서명저자발행자발행년구분형태사항데이터기준일자
193711937250가지 유명한 이야기. 1-1제임스 볼드윈 저 ; 동신편집부 편동신(서울20002.03M;유성, 천연색, 동영상:2023-04-30
68226823죽은 철학자의 살아있는 인생수업 : 철학은 어떻게 삶에 도움이 되는가시라토리 하루히코, 지지엔즈 [공]지음 ; 김지윤 옮김포레스트북스2020전자책 1책 ;천연색:2023-04-30
1206412065취서만필 : 책에 취해 마음 가는 대로 쓰다장석주 지음평단문화사20095935K ;천연색:2023-04-30
71467147(4,300킬로미터를 걷는 동안) 길 위에서 나는 조금 더 솔직해졌다이수현 지음알에이치코리아2019전자책 1책 ;천연색:2023-04-30
83628363내가 너를 구할 수 있을까 : 루스 오제키 장편소설루스 오제키 지음 ; 민은영 옮김엘리2017전자책 1책 ;천연색:2023-04-30
75137514(5일 만에 끝내는) 클래식 음악사 : 난생 처음 클래식을 제대로 공부하다김태용 지음소울메이트20183,991k;천연색:2023-04-30
46054606ㄹ먹는 하마이나영 글 ; 노은주 그림꿈터2022전자책 1책 ;천연색:2023-04-30
1473314734돼지 엄마가 좋아요동화사랑 편집부 지음동화사랑연구소2003천연색:2023-04-30
50105011나는 왜 집중하지 못하는가 : 37년 정신의학 전문가가 전하는 복잡한 머릿속을 꿰뚫는 성인 ADHD의 모든 것반건호 지음라이프앤페이지2022전자책 1책 ;천연색:2023-04-30
1280612807알피와 애니 로즈 이야기셜리 휴즈 글,그림, 오숙은 옮김미래사20073,888k;천연색:2023-04-30
No서명저자발행자발행년구분형태사항데이터기준일자
90529053(아기 수면교육전문가 범은경 원장이 들려주는) 엄마랑 아기랑 밤마다 푹 자는 수면습관 : 0세부터 5세까지범은경 지음새로운제안201225,135k;천연색:2023-04-30
1092210923조토 반 · 에이크 · 티치아노김은빈 엮음지경사20097.77M ;천연색:2023-04-30
74647465발터 벤야민, 사진에 대하여발터 벤야민 지음, 에스터 레슬리 엮음, 김정아 옮김위즈덤하우스20185,821k;천연색:2023-04-30
1828318284세계명작. 3, 빨간 머리 앤루시 몽고메리 지음꿈소담이(서울20031.27M;천연색:2023-04-30
56295630애프터. 7, 너에게 가는 길 = After안나 토드 지음 ; 강효준 옮김콤마2019전자책 1책 ;천연색:2023-04-30
1367613677아프리카에서 온 암소 9마리박종하 지음다산북스2007천연색:2023-04-30
29162917나는 언제까지 회사를 다닐 수 있을까 : 인생의 반환점을 돌고 있는 40대에게. 2민도식 원작 ; 황인진 연출한솔씨앤엠2012음반 1매(50:13) ;디지털, 스테레오 :12 cm2023-04-30
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