Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells20
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
DateTime2
Categorical2

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.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15114522

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 started2023-12-11 00:15:42.081297
Analysis finished2023-12-11 00:15:44.161093
Duration2.08 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%
Mean8491.4707
Minimum1
Maximum16853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:15:44.225637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile871.95
Q14260.75
median8514
Q312758.5
95-th percentile16060.05
Maximum16853
Range16852
Interquartile range (IQR)8497.75

Descriptive statistics

Standard deviation4883.4058
Coefficient of variation (CV)0.57509541
Kurtosis-1.2127364
Mean8491.4707
Median Absolute Deviation (MAD)4249.5
Skewness-0.010009093
Sum84914707
Variance23847652
MonotonicityNot monotonic
2023-12-11T09:15:44.550929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10626 1
 
< 0.1%
12654 1
 
< 0.1%
10972 1
 
< 0.1%
6723 1
 
< 0.1%
3981 1
 
< 0.1%
11567 1
 
< 0.1%
9649 1
 
< 0.1%
1877 1
 
< 0.1%
215 1
 
< 0.1%
8014 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
16853 1
< 0.1%
16852 1
< 0.1%
16851 1
< 0.1%
16850 1
< 0.1%
16846 1
< 0.1%
16844 1
< 0.1%
16843 1
< 0.1%
16841 1
< 0.1%
16838 1
< 0.1%
16837 1
< 0.1%
Distinct8956
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:15:44.864568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length169
Median length85
Mean length22.7121
Min length1

Characters and Unicode

Total characters227121
Distinct characters1437
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8095 ?
Unique (%)81.0%

Sample

1st rowHenry,the Boring Horse
2nd row똥볶이 할멈. 3 : K-히어로 판타지,나쁜 어린이는 없다;
3rd row과학특성화 중학교. 2 : 시간을 거슬러 온 조커와 사물함에 갇힌 우정
4th row엄마 소방관,아빠 간호사
5th row마른 가지에 바람처럼 : 달새울 장편소설(리커버). 1
ValueCountFrequency (%)
4416
 
7.8%
the 375
 
0.7%
장편소설 330
 
0.6%
위한 313
 
0.6%
이야기 265
 
0.5%
1 197
 
0.3%
2 188
 
0.3%
162
 
0.3%
and 161
 
0.3%
그림책 157
 
0.3%
Other values (19323) 50314
88.5%
2023-12-11T09:15:45.374199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49219
 
21.7%
3842
 
1.7%
3824
 
1.7%
: 3805
 
1.7%
2971
 
1.3%
e 2953
 
1.3%
2404
 
1.1%
a 2144
 
0.9%
; 2031
 
0.9%
o 2007
 
0.9%
Other values (1427) 151921
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130888
57.6%
Space Separator 49219
 
21.7%
Lowercase Letter 24052
 
10.6%
Other Punctuation 11853
 
5.2%
Decimal Number 4416
 
1.9%
Uppercase Letter 3824
 
1.7%
Close Punctuation 1175
 
0.5%
Open Punctuation 1174
 
0.5%
Math Symbol 321
 
0.1%
Dash Punctuation 159
 
0.1%
Other values (6) 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3842
 
2.9%
3824
 
2.9%
2971
 
2.3%
1939
 
1.5%
1901
 
1.5%
1829
 
1.4%
1742
 
1.3%
1680
 
1.3%
1662
 
1.3%
1642
 
1.3%
Other values (1313) 107856
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 2953
12.3%
a 2144
 
8.9%
o 2007
 
8.3%
t 1814
 
7.5%
i 1718
 
7.1%
n 1658
 
6.9%
r 1601
 
6.7%
s 1588
 
6.6%
h 1187
 
4.9%
l 1041
 
4.3%
Other values (16) 6341
26.4%
Uppercase Letter
ValueCountFrequency (%)
T 413
 
10.8%
S 358
 
9.4%
B 305
 
8.0%
M 220
 
5.8%
C 214
 
5.6%
A 209
 
5.5%
G 187
 
4.9%
P 179
 
4.7%
D 172
 
4.5%
I 169
 
4.4%
Other values (16) 1398
36.6%
Other Punctuation
ValueCountFrequency (%)
: 3805
32.1%
2404
20.3%
; 2031
17.1%
. 1922
16.2%
! 745
 
6.3%
? 424
 
3.6%
' 253
 
2.1%
· 153
 
1.3%
& 41
 
0.3%
% 25
 
0.2%
Other values (8) 50
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 1174
26.6%
2 890
20.2%
0 688
15.6%
3 439
 
9.9%
5 308
 
7.0%
4 285
 
6.5%
7 179
 
4.1%
9 168
 
3.8%
6 161
 
3.6%
8 124
 
2.8%
Math Symbol
ValueCountFrequency (%)
= 267
83.2%
~ 25
 
7.8%
+ 12
 
3.7%
< 7
 
2.2%
> 6
 
1.9%
2
 
0.6%
× 2
 
0.6%
Letter Number
ValueCountFrequency (%)
4
28.6%
3
21.4%
2
14.3%
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 1116
95.0%
] 43
 
3.7%
10
 
0.9%
4
 
0.3%
1
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1115
95.0%
[ 43
 
3.7%
10
 
0.9%
4
 
0.3%
1
 
0.1%
1
 
0.1%
Other Symbol
ValueCountFrequency (%)
7
77.8%
2
 
22.2%
Space Separator
ValueCountFrequency (%)
49219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130710
57.6%
Common 68343
30.1%
Latin 27890
 
12.3%
Han 178
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3842
 
2.9%
3824
 
2.9%
2971
 
2.3%
1939
 
1.5%
1901
 
1.5%
1829
 
1.4%
1742
 
1.3%
1680
 
1.3%
1662
 
1.3%
1642
 
1.3%
Other values (1247) 107678
82.4%
Han
ValueCountFrequency (%)
25
 
14.0%
23
 
12.9%
18
 
10.1%
15
 
8.4%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (56) 70
39.3%
Latin
ValueCountFrequency (%)
e 2953
 
10.6%
a 2144
 
7.7%
o 2007
 
7.2%
t 1814
 
6.5%
i 1718
 
6.2%
n 1658
 
5.9%
r 1601
 
5.7%
s 1588
 
5.7%
h 1187
 
4.3%
l 1041
 
3.7%
Other values (49) 10179
36.5%
Common
ValueCountFrequency (%)
49219
72.0%
: 3805
 
5.6%
2404
 
3.5%
; 2031
 
3.0%
. 1922
 
2.8%
1 1174
 
1.7%
) 1116
 
1.6%
( 1115
 
1.6%
2 890
 
1.3%
! 745
 
1.1%
Other values (45) 3922
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130698
57.5%
ASCII 93592
41.2%
None 2601
 
1.1%
CJK 176
 
0.1%
Punctuation 15
 
< 0.1%
Number Forms 14
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Misc Symbols 7
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49219
52.6%
: 3805
 
4.1%
e 2953
 
3.2%
a 2144
 
2.3%
; 2031
 
2.2%
o 2007
 
2.1%
. 1922
 
2.1%
t 1814
 
1.9%
i 1718
 
1.8%
n 1658
 
1.8%
Other values (76) 24321
26.0%
Hangul
ValueCountFrequency (%)
3842
 
2.9%
3824
 
2.9%
2971
 
2.3%
1939
 
1.5%
1901
 
1.5%
1829
 
1.4%
1742
 
1.3%
1680
 
1.3%
1662
 
1.3%
1642
 
1.3%
Other values (1242) 107666
82.4%
None
ValueCountFrequency (%)
2404
92.4%
· 153
 
5.9%
10
 
0.4%
10
 
0.4%
4
 
0.2%
4
 
0.2%
4
 
0.2%
3
 
0.1%
2
 
0.1%
× 2
 
0.1%
Other values (5) 5
 
0.2%
CJK
ValueCountFrequency (%)
25
 
14.2%
23
 
13.1%
18
 
10.2%
15
 
8.5%
5
 
2.8%
5
 
2.8%
5
 
2.8%
4
 
2.3%
4
 
2.3%
4
 
2.3%
Other values (54) 68
38.6%
Misc Symbols
ValueCountFrequency (%)
7
100.0%
Punctuation
ValueCountFrequency (%)
7
46.7%
4
26.7%
4
26.7%
Number Forms
ValueCountFrequency (%)
4
28.6%
3
21.4%
2
14.3%
2
14.3%
1
 
7.1%
1
 
7.1%
1
 
7.1%
Compat Jamo
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
2
16.7%
1
 
8.3%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
50.0%
1
50.0%

저자
Text

Distinct7606
Distinct (%)76.1%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T09:15:45.816973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length675
Median length123
Mean length17.858243
Min length2

Characters and Unicode

Total characters178511
Distinct characters1000
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

Unique6388 ?
Unique (%)63.9%

Sample

1st rowby Liza Charlesworth ; illustrated by John Lund
2nd row강효미 글 ; 김무연 그림
3rd row닥터베르 지음;리페 그림
4th row한지음 글 ; 김주경 그림
5th row달새울 지음
ValueCountFrequency (%)
4839
 
10.8%
지음 4026
 
9.0%
그림 2739
 
6.1%
옮김 2700
 
6.0%
1945
 
4.3%
by 1441
 
3.2%
글·그림 598
 
1.3%
지은이 490
 
1.1%
illustrated 401
 
0.9%
원작 178
 
0.4%
Other values (10739) 25559
56.9%
2023-12-11T09:15:46.319047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36732
 
20.6%
; 7247
 
4.1%
6031
 
3.4%
5346
 
3.0%
4685
 
2.6%
3872
 
2.2%
3832
 
2.1%
3726
 
2.1%
3284
 
1.8%
e 2987
 
1.7%
Other values (990) 100769
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96149
53.9%
Space Separator 36732
 
20.6%
Lowercase Letter 27946
 
15.7%
Other Punctuation 12502
 
7.0%
Uppercase Letter 4182
 
2.3%
Close Punctuation 432
 
0.2%
Open Punctuation 432
 
0.2%
Dash Punctuation 72
 
< 0.1%
Math Symbol 29
 
< 0.1%
Decimal Number 26
 
< 0.1%
Other values (4) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6031
 
6.3%
5346
 
5.6%
4685
 
4.9%
3872
 
4.0%
3832
 
4.0%
3726
 
3.9%
3284
 
3.4%
2898
 
3.0%
1763
 
1.8%
1494
 
1.6%
Other values (898) 59218
61.6%
Lowercase Letter
ValueCountFrequency (%)
e 2987
10.7%
a 2519
 
9.0%
t 2303
 
8.2%
r 2213
 
7.9%
l 2150
 
7.7%
y 2003
 
7.2%
i 1963
 
7.0%
n 1903
 
6.8%
b 1697
 
6.1%
s 1466
 
5.2%
Other values (18) 6742
24.1%
Uppercase Letter
ValueCountFrequency (%)
S 385
 
9.2%
A 347
 
8.3%
B 330
 
7.9%
C 293
 
7.0%
M 281
 
6.7%
J 255
 
6.1%
D 239
 
5.7%
L 237
 
5.7%
P 225
 
5.4%
H 201
 
4.8%
Other values (16) 1389
33.2%
Other Punctuation
ValueCountFrequency (%)
; 7247
58.0%
2197
 
17.6%
: 1903
 
15.2%
· 753
 
6.0%
. 378
 
3.0%
' 8
 
0.1%
/ 7
 
0.1%
? 4
 
< 0.1%
& 4
 
< 0.1%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
5 5
19.2%
0 5
19.2%
1 4
15.4%
2 4
15.4%
9 3
11.5%
8 3
11.5%
7 1
 
3.8%
3 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
> 12
41.4%
< 12
41.4%
2
 
6.9%
+ 1
 
3.4%
| 1
 
3.4%
= 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
] 391
90.5%
) 37
 
8.6%
3
 
0.7%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 391
90.5%
( 37
 
8.6%
3
 
0.7%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
36732
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96085
53.8%
Common 50234
28.1%
Latin 32128
 
18.0%
Han 64
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6031
 
6.3%
5346
 
5.6%
4685
 
4.9%
3872
 
4.0%
3832
 
4.0%
3726
 
3.9%
3284
 
3.4%
2898
 
3.0%
1763
 
1.8%
1494
 
1.6%
Other values (865) 59154
61.6%
Latin
ValueCountFrequency (%)
e 2987
 
9.3%
a 2519
 
7.8%
t 2303
 
7.2%
r 2213
 
6.9%
l 2150
 
6.7%
y 2003
 
6.2%
i 1963
 
6.1%
n 1903
 
5.9%
b 1697
 
5.3%
s 1466
 
4.6%
Other values (44) 10924
34.0%
Common
ValueCountFrequency (%)
36732
73.1%
; 7247
 
14.4%
2197
 
4.4%
: 1903
 
3.8%
· 753
 
1.5%
] 391
 
0.8%
[ 391
 
0.8%
. 378
 
0.8%
- 72
 
0.1%
( 37
 
0.1%
Other values (28) 133
 
0.3%
Han
ValueCountFrequency (%)
7
 
10.9%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
3
 
4.7%
3
 
4.7%
2
 
3.1%
2
 
3.1%
Other values (23) 27
42.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96083
53.8%
ASCII 79391
44.5%
None 2965
 
1.7%
CJK 64
 
< 0.1%
Punctuation 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36732
46.3%
; 7247
 
9.1%
e 2987
 
3.8%
a 2519
 
3.2%
t 2303
 
2.9%
r 2213
 
2.8%
l 2150
 
2.7%
y 2003
 
2.5%
i 1963
 
2.5%
: 1903
 
2.4%
Other values (70) 17371
21.9%
Hangul
ValueCountFrequency (%)
6031
 
6.3%
5346
 
5.6%
4685
 
4.9%
3872
 
4.0%
3832
 
4.0%
3726
 
3.9%
3284
 
3.4%
2898
 
3.0%
1763
 
1.8%
1494
 
1.6%
Other values (864) 59152
61.6%
None
ValueCountFrequency (%)
2197
74.1%
· 753
 
25.4%
3
 
0.1%
3
 
0.1%
æ 2
 
0.1%
´ 2
 
0.1%
2
 
0.1%
1
 
< 0.1%
1
 
< 0.1%
ø 1
 
< 0.1%
CJK
ValueCountFrequency (%)
7
 
10.9%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
3
 
4.7%
3
 
4.7%
2
 
3.1%
2
 
3.1%
Other values (23) 27
42.2%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Distinct2114
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:15:46.586593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length5.5896
Min length1

Characters and Unicode

Total characters55896
Distinct characters714
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

Unique1021 ?
Unique (%)10.2%

Sample

1st rowScholastic
2nd row슈크림북
3rd row뜨인돌
4th row씨드북
5th row아르테
ValueCountFrequency (%)
books 272
 
2.4%
민음사 235
 
2.1%
창비 207
 
1.8%
비룡소 189
 
1.7%
위즈덤하우스 179
 
1.6%
문학동네 159
 
1.4%
아울북 155
 
1.4%
scholastic 136
 
1.2%
아이세움 114
 
1.0%
주니어김영사 91
 
0.8%
Other values (2152) 9574
84.6%
2023-12-11T09:15:46.988949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1898
 
3.4%
1537
 
2.7%
1393
 
2.5%
s 1368
 
2.4%
1360
 
2.4%
1311
 
2.3%
1255
 
2.2%
r 1155
 
2.1%
i 1077
 
1.9%
e 1020
 
1.8%
Other values (704) 42522
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36590
65.5%
Lowercase Letter 13501
 
24.2%
Uppercase Letter 3140
 
5.6%
Space Separator 1311
 
2.3%
Close Punctuation 496
 
0.9%
Open Punctuation 496
 
0.9%
Other Punctuation 182
 
0.3%
Decimal Number 155
 
0.3%
Dash Punctuation 14
 
< 0.1%
Final Punctuation 6
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1537
 
4.2%
1393
 
3.8%
1360
 
3.7%
1255
 
3.4%
866
 
2.4%
809
 
2.2%
630
 
1.7%
576
 
1.6%
566
 
1.5%
460
 
1.3%
Other values (622) 27138
74.2%
Lowercase Letter
ValueCountFrequency (%)
o 1898
14.1%
s 1368
10.1%
r 1155
 
8.6%
i 1077
 
8.0%
e 1020
 
7.6%
a 983
 
7.3%
l 784
 
5.8%
n 763
 
5.7%
k 626
 
4.6%
c 614
 
4.5%
Other values (16) 3213
23.8%
Uppercase Letter
ValueCountFrequency (%)
B 497
15.8%
S 351
11.2%
H 329
10.5%
P 292
 
9.3%
C 204
 
6.5%
M 179
 
5.7%
N 161
 
5.1%
R 154
 
4.9%
W 115
 
3.7%
A 113
 
3.6%
Other values (16) 745
23.7%
Other Punctuation
ValueCountFrequency (%)
. 54
29.7%
& 37
20.3%
' 35
19.2%
· 15
 
8.2%
9
 
4.9%
9
 
4.9%
/ 8
 
4.4%
# 6
 
3.3%
; 4
 
2.2%
: 4
 
2.2%
Decimal Number
ValueCountFrequency (%)
2 66
42.6%
1 47
30.3%
9 15
 
9.7%
4 12
 
7.7%
8 7
 
4.5%
0 5
 
3.2%
6 2
 
1.3%
3 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 468
94.4%
] 27
 
5.4%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 468
94.4%
[ 27
 
5.4%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
1311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36500
65.3%
Latin 16641
29.8%
Common 2665
 
4.8%
Han 90
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1537
 
4.2%
1393
 
3.8%
1360
 
3.7%
1255
 
3.4%
866
 
2.4%
809
 
2.2%
630
 
1.7%
576
 
1.6%
566
 
1.6%
460
 
1.3%
Other values (588) 27048
74.1%
Latin
ValueCountFrequency (%)
o 1898
 
11.4%
s 1368
 
8.2%
r 1155
 
6.9%
i 1077
 
6.5%
e 1020
 
6.1%
a 983
 
5.9%
l 784
 
4.7%
n 763
 
4.6%
k 626
 
3.8%
c 614
 
3.7%
Other values (42) 6353
38.2%
Han
ValueCountFrequency (%)
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (24) 47
52.2%
Common
ValueCountFrequency (%)
1311
49.2%
) 468
 
17.6%
( 468
 
17.6%
2 66
 
2.5%
. 54
 
2.0%
1 47
 
1.8%
& 37
 
1.4%
' 35
 
1.3%
[ 27
 
1.0%
] 27
 
1.0%
Other values (20) 125
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36500
65.3%
ASCII 19265
34.5%
CJK 90
 
0.2%
None 35
 
0.1%
Punctuation 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1898
 
9.9%
s 1368
 
7.1%
1311
 
6.8%
r 1155
 
6.0%
i 1077
 
5.6%
e 1020
 
5.3%
a 983
 
5.1%
l 784
 
4.1%
n 763
 
4.0%
k 626
 
3.2%
Other values (66) 8280
43.0%
Hangul
ValueCountFrequency (%)
1537
 
4.2%
1393
 
3.8%
1360
 
3.7%
1255
 
3.4%
866
 
2.4%
809
 
2.2%
630
 
1.7%
576
 
1.6%
566
 
1.6%
460
 
1.3%
Other values (588) 27048
74.1%
None
ValueCountFrequency (%)
· 15
42.9%
9
25.7%
9
25.7%
1
 
2.9%
1
 
2.9%
Punctuation
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
6
 
6.7%
5
 
5.6%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
4
 
4.4%
Other values (24) 47
52.2%
Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2022-12-31 00:00:00
2023-12-11T09:15:47.103101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:47.211560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당 도서관
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아주도서관
3171 
수양도서관
1752 
장평도서관
1711 
하청도서관
1680 
옥포도서관
1586 
Other values (2)
 
100

Length

Max length10
Median length5
Mean length5.0494
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row옥포도서관
2nd row아주도서관
3rd row하청도서관
4th row옥포도서관
5th row아주도서관

Common Values

ValueCountFrequency (%)
아주도서관 3171
31.7%
수양도서관 1752
17.5%
장평도서관 1711
17.1%
하청도서관 1680
16.8%
옥포도서관 1586
15.9%
스마트도서관(상동) 99
 
1.0%
<NA> 1
 
< 0.1%

Length

2023-12-11T09:15:47.321123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:47.417267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아주도서관 3171
31.7%
수양도서관 1752
17.5%
장평도서관 1711
17.1%
하청도서관 1680
16.8%
옥포도서관 1586
15.9%
스마트도서관(상동 99
 
1.0%
na 1
 
< 0.1%
Distinct285
Distinct (%)2.9%
Missing16
Missing (%)0.2%
Memory size156.2 KiB
Minimum2022-01-02 00:00:00
Maximum2023-04-12 00:00:00
2023-12-11T09:15:47.532543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:47.650605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-06-14
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-14
2nd row2023-06-14
3rd row2023-06-14
4th row2023-06-14
5th row2023-06-14

Common Values

ValueCountFrequency (%)
2023-06-14 10000
100.0%

Length

2023-12-11T09:15:47.766178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:47.852409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-14 10000
100.0%

Interactions

2023-12-11T09:15:43.758378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:15:47.905051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번해당 도서관
순번1.0000.921
해당 도서관0.9211.000
2023-12-11T09:15:47.978856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번해당 도서관
순번1.0000.801
해당 도서관0.8011.000

Missing values

2023-12-11T09:15:43.878484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:15:44.007315image/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.
2023-12-11T09:15:44.109678image/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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1042510426오싹오싹 크레용!에런 레이놀즈 글 ; 피터 브라운 그림 ; 홍연미 옮김토토북2022-09-30옥포도서관2023-04-122023-06-14
순번도서명저자출판사입수일자해당 도서관코드변경일자데이터기준일자
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76307631AI 소사이어티 : 스마트 인류가 사는 세상김태헌,이벌찬 지음미래의창2022-11-26아주도서관2022-11-262023-06-14
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1616016161SmileRaina Telgemeier ; with color by Stephanie YueScholastic2022-10-20수양도서관2022-10-212023-06-14
1089110892눈 떠 보니 슈퍼히어로. 1,머리만 금강불괴이승민 글 ; 나오미양 그림다산어린이2022-11-22옥포도서관2023-04-122023-06-14
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