Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells18
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
Text3
DateTime3
Categorical1

Dataset

Description경상남도 거제시에 위치하고 있는 도서관(하청, 아주, 옥포, 장평, 수양)의 2022년 신간도서에 대한 정보(도서명, 저자, 출판사, 입수일자, 배가 도서관 등)를 제공합니다.
URLhttps://www.data.go.kr/data/15114522/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 해당 도서관High correlation
해당 도서관 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:39:34.556254
Analysis finished2023-12-12 03:39:37.440183
Duration2.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8402.9234
Minimum2
Maximum16853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:39:37.550972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile851.95
Q14202.5
median8388.5
Q312580
95-th percentile16008.05
Maximum16853
Range16851
Interquartile range (IQR)8377.5

Descriptive statistics

Standard deviation4849.3045
Coefficient of variation (CV)0.57709731
Kurtosis-1.1950515
Mean8402.9234
Median Absolute Deviation (MAD)4189
Skewness0.0034814329
Sum84029234
Variance23515754
MonotonicityNot monotonic
2023-12-12T12:39:37.780108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10164 1
 
< 0.1%
13253 1
 
< 0.1%
5185 1
 
< 0.1%
11937 1
 
< 0.1%
4924 1
 
< 0.1%
15165 1
 
< 0.1%
12180 1
 
< 0.1%
9765 1
 
< 0.1%
6914 1
 
< 0.1%
1508 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
18 1
< 0.1%
ValueCountFrequency (%)
16853 1
< 0.1%
16852 1
< 0.1%
16850 1
< 0.1%
16849 1
< 0.1%
16847 1
< 0.1%
16845 1
< 0.1%
16842 1
< 0.1%
16841 1
< 0.1%
16840 1
< 0.1%
16839 1
< 0.1%
Distinct8988
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T12:39:38.273880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length114
Median length81
Mean length22.7648
Min length1

Characters and Unicode

Total characters227648
Distinct characters1431
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8132 ?
Unique (%)81.3%

Sample

1st row카메라 앞에서 연기한다는 것 : 영화 <해피 아워> 연출 노트와 각본집
2nd row요괴 잡는 해치 : 윤주성 장편동화
3rd row나의 첫 사회생활 : 유치원에서도 학교 가서도 혼자 해낼 수 있어요!
4th row오리 부리 이야기
5th rowWould an elephant enjoy the seaside? : ...and other questions;
ValueCountFrequency (%)
4425
 
7.8%
the 371
 
0.6%
장편소설 343
 
0.6%
위한 333
 
0.6%
이야기 285
 
0.5%
188
 
0.3%
1 188
 
0.3%
2 177
 
0.3%
그림책 154
 
0.3%
and 137
 
0.2%
Other values (19291) 50479
88.4%
2023-12-12T12:39:39.050534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49442
 
21.7%
: 3824
 
1.7%
3823
 
1.7%
3809
 
1.7%
2982
 
1.3%
e 2901
 
1.3%
2405
 
1.1%
a 2123
 
0.9%
o 2028
 
0.9%
; 2025
 
0.9%
Other values (1421) 152286
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131543
57.8%
Space Separator 49442
 
21.7%
Lowercase Letter 23629
 
10.4%
Other Punctuation 11775
 
5.2%
Decimal Number 4523
 
2.0%
Uppercase Letter 3739
 
1.6%
Close Punctuation 1230
 
0.5%
Open Punctuation 1229
 
0.5%
Math Symbol 304
 
0.1%
Dash Punctuation 185
 
0.1%
Other values (6) 49
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3823
 
2.9%
3809
 
2.9%
2982
 
2.3%
1985
 
1.5%
1909
 
1.5%
1841
 
1.4%
1810
 
1.4%
1714
 
1.3%
1666
 
1.3%
1644
 
1.2%
Other values (1307) 108360
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 2901
12.3%
a 2123
 
9.0%
o 2028
 
8.6%
t 1784
 
7.6%
i 1654
 
7.0%
s 1623
 
6.9%
n 1573
 
6.7%
r 1538
 
6.5%
h 1182
 
5.0%
l 1022
 
4.3%
Other values (16) 6201
26.2%
Uppercase Letter
ValueCountFrequency (%)
T 414
 
11.1%
S 351
 
9.4%
B 296
 
7.9%
A 208
 
5.6%
C 200
 
5.3%
G 196
 
5.2%
M 195
 
5.2%
P 178
 
4.8%
I 167
 
4.5%
D 165
 
4.4%
Other values (16) 1369
36.6%
Other Punctuation
ValueCountFrequency (%)
: 3824
32.5%
2405
20.4%
; 2025
17.2%
. 1847
15.7%
! 713
 
6.1%
? 424
 
3.6%
' 275
 
2.3%
· 146
 
1.2%
& 42
 
0.4%
% 18
 
0.2%
Other values (7) 56
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 1190
26.3%
2 898
19.9%
0 701
15.5%
3 468
 
10.3%
5 335
 
7.4%
4 276
 
6.1%
7 188
 
4.2%
9 178
 
3.9%
6 173
 
3.8%
8 116
 
2.6%
Math Symbol
ValueCountFrequency (%)
= 236
77.6%
~ 27
 
8.9%
+ 17
 
5.6%
× 7
 
2.3%
< 7
 
2.3%
> 6
 
2.0%
2
 
0.7%
2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 1165
94.7%
] 48
 
3.9%
10
 
0.8%
5
 
0.4%
1
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1164
94.7%
[ 48
 
3.9%
10
 
0.8%
5
 
0.4%
1
 
0.1%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
5
33.3%
5
33.3%
2
 
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Other Symbol
ValueCountFrequency (%)
10
50.0%
6
30.0%
4
 
20.0%
Space Separator
ValueCountFrequency (%)
49442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131368
57.7%
Common 68722
30.2%
Latin 27383
 
12.0%
Han 175
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3823
 
2.9%
3809
 
2.9%
2982
 
2.3%
1985
 
1.5%
1909
 
1.5%
1841
 
1.4%
1810
 
1.4%
1714
 
1.3%
1666
 
1.3%
1644
 
1.3%
Other values (1251) 108185
82.4%
Latin
ValueCountFrequency (%)
e 2901
 
10.6%
a 2123
 
7.8%
o 2028
 
7.4%
t 1784
 
6.5%
i 1654
 
6.0%
s 1623
 
5.9%
n 1573
 
5.7%
r 1538
 
5.6%
h 1182
 
4.3%
l 1022
 
3.7%
Other values (48) 9955
36.4%
Common
ValueCountFrequency (%)
49442
71.9%
: 3824
 
5.6%
2405
 
3.5%
; 2025
 
2.9%
. 1847
 
2.7%
1 1190
 
1.7%
) 1165
 
1.7%
( 1164
 
1.7%
2 898
 
1.3%
! 713
 
1.0%
Other values (46) 4049
 
5.9%
Han
ValueCountFrequency (%)
28
16.0%
26
14.9%
20
 
11.4%
18
 
10.3%
5
 
2.9%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
Other values (46) 60
34.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131355
57.7%
ASCII 93447
41.0%
None 2603
 
1.1%
CJK 173
 
0.1%
Punctuation 18
 
< 0.1%
Number Forms 15
 
< 0.1%
Compat Jamo 13
 
< 0.1%
Misc Symbols 10
 
< 0.1%
Box Drawing 6
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49442
52.9%
: 3824
 
4.1%
e 2901
 
3.1%
a 2123
 
2.3%
o 2028
 
2.2%
; 2025
 
2.2%
. 1847
 
2.0%
t 1784
 
1.9%
i 1654
 
1.8%
s 1623
 
1.7%
Other values (76) 24196
25.9%
Hangul
ValueCountFrequency (%)
3823
 
2.9%
3809
 
2.9%
2982
 
2.3%
1985
 
1.5%
1909
 
1.5%
1841
 
1.4%
1810
 
1.4%
1714
 
1.3%
1666
 
1.3%
1644
 
1.3%
Other values (1247) 108172
82.4%
None
ValueCountFrequency (%)
2405
92.4%
· 146
 
5.6%
10
 
0.4%
10
 
0.4%
× 7
 
0.3%
5
 
0.2%
5
 
0.2%
5
 
0.2%
3
 
0.1%
2
 
0.1%
Other values (5) 5
 
0.2%
CJK
ValueCountFrequency (%)
28
16.2%
26
15.0%
20
 
11.6%
18
 
10.4%
5
 
2.9%
4
 
2.3%
4
 
2.3%
4
 
2.3%
3
 
1.7%
3
 
1.7%
Other values (44) 58
33.5%
Punctuation
ValueCountFrequency (%)
12
66.7%
3
 
16.7%
3
 
16.7%
Misc Symbols
ValueCountFrequency (%)
10
100.0%
Box Drawing
ValueCountFrequency (%)
6
100.0%
Number Forms
ValueCountFrequency (%)
5
33.3%
5
33.3%
2
 
13.3%
1
 
6.7%
1
 
6.7%
1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
4
30.8%
4
30.8%
4
30.8%
1
 
7.7%
Geometric Shapes
ValueCountFrequency (%)
4
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%

저자
Text

Distinct7586
Distinct (%)75.9%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T12:39:39.604410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length685
Median length165
Mean length18.017504
Min length2

Characters and Unicode

Total characters180139
Distinct characters978
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6391 ?
Unique (%)63.9%

Sample

1st row하마구치 류스케,노하라 다다시,다카하시 도모유키 지음 ; 이환미 옮김
2nd row윤주성 지음 ; 홍선주 그림
3rd row윌어린이지식교육연구소 지음 ; 김정화 옮김
4th row황선애 글;간장 그림
5th rowCamilla de la Be?doye?re ; Aleksei Bitskoff
ValueCountFrequency (%)
4812
 
10.7%
지음 4014
 
9.0%
그림 2675
 
6.0%
옮김 2645
 
5.9%
1923
 
4.3%
by 1508
 
3.4%
글·그림 613
 
1.4%
지은이 516
 
1.2%
illustrated 429
 
1.0%
옮긴이 170
 
0.4%
Other values (10799) 25535
56.9%
2023-12-12T12:39:40.443077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36598
 
20.3%
; 7199
 
4.0%
6019
 
3.3%
5360
 
3.0%
4680
 
2.6%
3839
 
2.1%
3801
 
2.1%
3691
 
2.0%
3262
 
1.8%
e 3103
 
1.7%
Other values (968) 102587
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96219
53.4%
Space Separator 36598
 
20.3%
Lowercase Letter 29214
 
16.2%
Other Punctuation 12728
 
7.1%
Uppercase Letter 4317
 
2.4%
Open Punctuation 469
 
0.3%
Close Punctuation 467
 
0.3%
Dash Punctuation 65
 
< 0.1%
Decimal Number 30
 
< 0.1%
Math Symbol 25
 
< 0.1%
Other values (4) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6019
 
6.3%
5360
 
5.6%
4680
 
4.9%
3839
 
4.0%
3801
 
4.0%
3691
 
3.8%
3262
 
3.4%
2854
 
3.0%
1731
 
1.8%
1461
 
1.5%
Other values (879) 59521
61.9%
Lowercase Letter
ValueCountFrequency (%)
e 3103
10.6%
a 2693
 
9.2%
t 2397
 
8.2%
r 2318
 
7.9%
l 2254
 
7.7%
y 2095
 
7.2%
i 2093
 
7.2%
n 1915
 
6.6%
b 1782
 
6.1%
s 1564
 
5.4%
Other values (18) 7000
24.0%
Uppercase Letter
ValueCountFrequency (%)
S 422
 
9.8%
A 346
 
8.0%
B 327
 
7.6%
C 309
 
7.2%
M 299
 
6.9%
L 286
 
6.6%
J 265
 
6.1%
D 265
 
6.1%
P 227
 
5.3%
R 201
 
4.7%
Other values (15) 1370
31.7%
Other Punctuation
ValueCountFrequency (%)
; 7199
56.6%
2436
 
19.1%
: 1924
 
15.1%
· 766
 
6.0%
. 374
 
2.9%
' 9
 
0.1%
? 8
 
0.1%
/ 5
 
< 0.1%
& 4
 
< 0.1%
! 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 6
20.0%
1 6
20.0%
5 5
16.7%
8 5
16.7%
9 4
13.3%
3 3
10.0%
2 1
 
3.3%
Math Symbol
ValueCountFrequency (%)
< 11
44.0%
> 11
44.0%
| 1
 
4.0%
1
 
4.0%
= 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
[ 429
91.5%
( 33
 
7.0%
4
 
0.9%
3
 
0.6%
Close Punctuation
ValueCountFrequency (%)
] 427
91.4%
) 33
 
7.1%
4
 
0.9%
3
 
0.6%
Space Separator
ValueCountFrequency (%)
36598
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96180
53.4%
Common 50389
28.0%
Latin 33531
 
18.6%
Han 39
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6019
 
6.3%
5360
 
5.6%
4680
 
4.9%
3839
 
4.0%
3801
 
4.0%
3691
 
3.8%
3262
 
3.4%
2854
 
3.0%
1731
 
1.8%
1461
 
1.5%
Other values (862) 59482
61.8%
Latin
ValueCountFrequency (%)
e 3103
 
9.3%
a 2693
 
8.0%
t 2397
 
7.1%
r 2318
 
6.9%
l 2254
 
6.7%
y 2095
 
6.2%
i 2093
 
6.2%
n 1915
 
5.7%
b 1782
 
5.3%
s 1564
 
4.7%
Other values (43) 11317
33.8%
Common
ValueCountFrequency (%)
36598
72.6%
; 7199
 
14.3%
2436
 
4.8%
: 1924
 
3.8%
· 766
 
1.5%
[ 429
 
0.9%
] 427
 
0.8%
. 374
 
0.7%
- 65
 
0.1%
) 33
 
0.1%
Other values (26) 138
 
0.3%
Han
ValueCountFrequency (%)
7
17.9%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
1
 
2.6%
Other values (7) 7
17.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96177
53.4%
ASCII 80691
44.8%
None 3225
 
1.8%
CJK 39
 
< 0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36598
45.4%
; 7199
 
8.9%
e 3103
 
3.8%
a 2693
 
3.3%
t 2397
 
3.0%
r 2318
 
2.9%
l 2254
 
2.8%
y 2095
 
2.6%
i 2093
 
2.6%
: 1924
 
2.4%
Other values (67) 18017
22.3%
Hangul
ValueCountFrequency (%)
6019
 
6.3%
5360
 
5.6%
4680
 
4.9%
3839
 
4.0%
3801
 
4.0%
3691
 
3.8%
3262
 
3.4%
2854
 
3.0%
1731
 
1.8%
1461
 
1.5%
Other values (861) 59479
61.8%
None
ValueCountFrequency (%)
2436
75.5%
· 766
 
23.8%
4
 
0.1%
4
 
0.1%
æ 4
 
0.1%
3
 
0.1%
3
 
0.1%
´ 2
 
0.1%
ø 2
 
0.1%
1
 
< 0.1%
CJK
ValueCountFrequency (%)
7
17.9%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
3
7.7%
1
 
2.6%
Other values (7) 7
17.9%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct2085
Distinct (%)20.9%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T12:39:40.845452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length5.6267627
Min length1

Characters and Unicode

Total characters56262
Distinct characters710
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

Unique1015 ?
Unique (%)10.2%

Sample

1st rowMocushura
2nd row별숲
3rd row길벗스쿨
4th row비룡소
5th rowQED Publishing
ValueCountFrequency (%)
books 272
 
2.4%
민음사 235
 
2.1%
창비 213
 
1.9%
비룡소 193
 
1.7%
위즈덤하우스 181
 
1.6%
문학동네 171
 
1.5%
아울북 140
 
1.2%
scholastic 132
 
1.2%
아이세움 96
 
0.9%
주니어김영사 88
 
0.8%
Other values (2126) 9561
84.7%
2023-12-12T12:39:41.384136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1885
 
3.4%
1564
 
2.8%
s 1364
 
2.4%
1327
 
2.4%
1322
 
2.3%
1283
 
2.3%
1266
 
2.3%
r 1208
 
2.1%
i 1102
 
2.0%
e 1045
 
1.9%
Other values (700) 42896
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36704
65.2%
Lowercase Letter 13769
 
24.5%
Uppercase Letter 3074
 
5.5%
Space Separator 1283
 
2.3%
Close Punctuation 515
 
0.9%
Open Punctuation 515
 
0.9%
Other Punctuation 199
 
0.4%
Decimal Number 181
 
0.3%
Dash Punctuation 13
 
< 0.1%
Final Punctuation 6
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1564
 
4.3%
1327
 
3.6%
1322
 
3.6%
1266
 
3.4%
867
 
2.4%
792
 
2.2%
637
 
1.7%
589
 
1.6%
565
 
1.5%
473
 
1.3%
Other values (619) 27302
74.4%
Lowercase Letter
ValueCountFrequency (%)
o 1885
13.7%
s 1364
9.9%
r 1208
 
8.8%
i 1102
 
8.0%
e 1045
 
7.6%
a 1018
 
7.4%
n 818
 
5.9%
l 793
 
5.8%
c 613
 
4.5%
k 600
 
4.4%
Other values (16) 3323
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 469
15.3%
H 336
10.9%
S 329
10.7%
P 303
9.9%
C 198
 
6.4%
M 171
 
5.6%
R 152
 
4.9%
N 151
 
4.9%
W 110
 
3.6%
O 102
 
3.3%
Other values (16) 753
24.5%
Other Punctuation
ValueCountFrequency (%)
. 56
28.1%
& 44
22.1%
' 42
21.1%
· 13
 
6.5%
10
 
5.0%
# 8
 
4.0%
; 8
 
4.0%
/ 6
 
3.0%
: 6
 
3.0%
4
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 74
40.9%
1 58
32.0%
4 15
 
8.3%
9 13
 
7.2%
8 7
 
3.9%
0 6
 
3.3%
6 5
 
2.8%
3 2
 
1.1%
5 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 489
95.0%
] 26
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 489
95.0%
[ 26
 
5.0%
Space Separator
ValueCountFrequency (%)
1283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36623
65.1%
Latin 16843
29.9%
Common 2715
 
4.8%
Han 81
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1564
 
4.3%
1327
 
3.6%
1322
 
3.6%
1266
 
3.5%
867
 
2.4%
792
 
2.2%
637
 
1.7%
589
 
1.6%
565
 
1.5%
473
 
1.3%
Other values (586) 27221
74.3%
Latin
ValueCountFrequency (%)
o 1885
 
11.2%
s 1364
 
8.1%
r 1208
 
7.2%
i 1102
 
6.5%
e 1045
 
6.2%
a 1018
 
6.0%
n 818
 
4.9%
l 793
 
4.7%
c 613
 
3.6%
k 600
 
3.6%
Other values (42) 6397
38.0%
Han
ValueCountFrequency (%)
6
 
7.4%
6
 
7.4%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
Other values (23) 37
45.7%
Common
ValueCountFrequency (%)
1283
47.3%
) 489
 
18.0%
( 489
 
18.0%
2 74
 
2.7%
1 58
 
2.1%
. 56
 
2.1%
& 44
 
1.6%
' 42
 
1.5%
] 26
 
1.0%
[ 26
 
1.0%
Other values (19) 128
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36623
65.1%
ASCII 19525
34.7%
CJK 81
 
0.1%
None 27
 
< 0.1%
Punctuation 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1885
 
9.7%
s 1364
 
7.0%
1283
 
6.6%
r 1208
 
6.2%
i 1102
 
5.6%
e 1045
 
5.4%
a 1018
 
5.2%
n 818
 
4.2%
l 793
 
4.1%
c 613
 
3.1%
Other values (67) 8396
43.0%
Hangul
ValueCountFrequency (%)
1564
 
4.3%
1327
 
3.6%
1322
 
3.6%
1266
 
3.5%
867
 
2.4%
792
 
2.2%
637
 
1.7%
589
 
1.6%
565
 
1.5%
473
 
1.3%
Other values (586) 27221
74.3%
None
ValueCountFrequency (%)
· 13
48.1%
10
37.0%
4
 
14.8%
CJK
ValueCountFrequency (%)
6
 
7.4%
6
 
7.4%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
Other values (23) 37
45.7%
Punctuation
ValueCountFrequency (%)
6
100.0%
Distinct192
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-28 00:00:00
2023-12-12T12:39:41.551178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:41.703621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당 도서관
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아주도서관
3208 
하청도서관
1708 
장평도서관
1705 
수양도서관
1666 
옥포도서관
1614 

Length

Max length10
Median length5
Mean length5.0495
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row옥포도서관
2nd row옥포도서관
3rd row수양도서관
4th row장평도서관
5th row아주도서관

Common Values

ValueCountFrequency (%)
아주도서관 3208
32.1%
하청도서관 1708
17.1%
장평도서관 1705
17.1%
수양도서관 1666
16.7%
옥포도서관 1614
16.1%
스마트도서관(상동) 99
 
1.0%

Length

2023-12-12T12:39:41.872138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:39:42.016475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아주도서관 3208
32.1%
하청도서관 1708
17.1%
장평도서관 1705
17.1%
수양도서관 1666
16.7%
옥포도서관 1614
16.1%
스마트도서관(상동 99
 
1.0%
Distinct283
Distinct (%)2.8%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2023-04-18 00:00:00
2023-12-12T12:39:42.174729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:42.343827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-06-14 00:00:00
Maximum2023-06-14 00:00:00
2023-12-12T12:39:42.487876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:39:42.607068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:39:36.854462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:39:42.720450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번해당 도서관
순번1.0000.921
해당 도서관0.9211.000
2023-12-12T12:39:42.848954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번해당 도서관
순번1.0000.801
해당 도서관0.8011.000

Missing values

2023-12-12T12:39:37.010795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:39:37.175907image/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.
2023-12-12T12:39:37.331332image/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

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