Overview

Dataset statistics

Number of variables6
Number of observations935
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.8 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시기장군_정관도서관신착자료현황_20200829
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060473

Alerts

순번 is highly overall correlated with 자료실명High correlation
자료실명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:04:10.640156
Analysis finished2023-12-10 17:04:13.274616
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct935
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468
Minimum1
Maximum935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-11T02:04:13.408317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.7
Q1234.5
median468
Q3701.5
95-th percentile888.3
Maximum935
Range934
Interquartile range (IQR)467

Descriptive statistics

Standard deviation270.05555
Coefficient of variation (CV)0.57704177
Kurtosis-1.2
Mean468
Median Absolute Deviation (MAD)234
Skewness0
Sum437580
Variance72930
MonotonicityStrictly increasing
2023-12-11T02:04:13.671282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
629 1
 
0.1%
617 1
 
0.1%
618 1
 
0.1%
619 1
 
0.1%
620 1
 
0.1%
621 1
 
0.1%
622 1
 
0.1%
623 1
 
0.1%
624 1
 
0.1%
Other values (925) 925
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
935 1
0.1%
934 1
0.1%
933 1
0.1%
932 1
0.1%
931 1
0.1%
930 1
0.1%
929 1
0.1%
928 1
0.1%
927 1
0.1%
926 1
0.1%

서명
Text

Distinct915
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-11T02:04:14.224296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length62
Mean length25.939037
Min length2

Characters and Unicode

Total characters24253
Distinct characters946
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

Unique897 ?
Unique (%)95.9%

Sample

1st row한 공기의 사랑, 아낌의 인문학
2nd row아이와 미술에 대해 이야기 하는 법 : 어른과 아이가 함께 배우는 교양 미술
3rd row부의 대이동 : 달러와 금의 흐름으로 읽는 미래 투자 전략
4th row근육이 튼튼한 여자가 되고 싶어 : 다정하고 강한 여자들의 인생 근력 레이스
5th rowPHP ＆ MySQL 닌자 비법서 : 견고한 웹 애플리케이션을 만들며 초보에서 고수로 거듭나기
ValueCountFrequency (%)
513
 
8.1%
이야기 38
 
0.6%
장편소설 37
 
0.6%
위한 28
 
0.4%
내 22
 
0.3%
1 21
 
0.3%
한 20
 
0.3%
나는 20
 
0.3%
책 20
 
0.3%
아이 18
 
0.3%
Other values (3892) 5578
88.3%
2023-12-11T02:04:15.071341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5380
 
22.2%
: 511
 
2.1%
이 481
 
2.0%
의 458
 
1.9%
는 431
 
1.8%
기 238
 
1.0%
아 235
 
1.0%
다 229
 
0.9%
지 218
 
0.9%
가 217
 
0.9%
Other values (936) 15855
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15689
64.7%
Space Separator 5380
 
22.2%
Lowercase Letter 1236
 
5.1%
Other Punctuation 1017
 
4.2%
Decimal Number 371
 
1.5%
Uppercase Letter 211
 
0.9%
Open Punctuation 128
 
0.5%
Close Punctuation 128
 
0.5%
Math Symbol 78
 
0.3%
Dash Punctuation 13
 
0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 481
 
3.1%
의 458
 
2.9%
는 431
 
2.7%
기 238
 
1.5%
아 235
 
1.5%
다 229
 
1.5%
지 218
 
1.4%
가 217
 
1.4%
리 216
 
1.4%
한 215
 
1.4%
Other values (843) 12751
81.3%
Lowercase Letter
ValueCountFrequency (%)
e 151
12.2%
a 106
 
8.6%
o 106
 
8.6%
t 104
 
8.4%
s 96
 
7.8%
i 94
 
7.6%
n 78
 
6.3%
r 76
 
6.1%
l 45
 
3.6%
y 42
 
3.4%
Other values (16) 338
27.3%
Uppercase Letter
ValueCountFrequency (%)
S 21
 
10.0%
P 18
 
8.5%
C 16
 
7.6%
T 15
 
7.1%
N 15
 
7.1%
M 15
 
7.1%
H 14
 
6.6%
A 9
 
4.3%
L 9
 
4.3%
I 8
 
3.8%
Other values (15) 71
33.6%
Other Punctuation
ValueCountFrequency (%)
: 511
50.2%
, 191
 
18.8%
. 103
 
10.1%
! 91
 
8.9%
? 37
 
3.6%
· 29
 
2.9%
' 29
 
2.9%
& 6
 
0.6%
" 6
 
0.6%
＆ 5
 
0.5%
Other values (6) 9
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 103
27.8%
0 81
21.8%
2 41
 
11.1%
5 38
 
10.2%
3 29
 
7.8%
4 19
 
5.1%
6 18
 
4.9%
7 17
 
4.6%
9 13
 
3.5%
8 12
 
3.2%
Math Symbol
ValueCountFrequency (%)
= 65
83.3%
× 4
 
5.1%
+ 3
 
3.8%
< 2
 
2.6%
> 2
 
2.6%
~ 2
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 126
98.4%
《 1
 
0.8%
『 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 126
98.4%
》 1
 
0.8%
』 1
 
0.8%
Space Separator
ValueCountFrequency (%)
5380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15665
64.6%
Common 7117
29.3%
Latin 1447
 
6.0%
Han 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 481
 
3.1%
의 458
 
2.9%
는 431
 
2.8%
기 238
 
1.5%
아 235
 
1.5%
다 229
 
1.5%
지 218
 
1.4%
가 217
 
1.4%
리 216
 
1.4%
한 215
 
1.4%
Other values (826) 12727
81.2%
Latin
ValueCountFrequency (%)
e 151
 
10.4%
a 106
 
7.3%
o 106
 
7.3%
t 104
 
7.2%
s 96
 
6.6%
i 94
 
6.5%
n 78
 
5.4%
r 76
 
5.3%
l 45
 
3.1%
y 42
 
2.9%
Other values (41) 549
37.9%
Common
ValueCountFrequency (%)
5380
75.6%
: 511
 
7.2%
, 191
 
2.7%
( 126
 
1.8%
) 126
 
1.8%
1 103
 
1.4%
. 103
 
1.4%
! 91
 
1.3%
0 81
 
1.1%
= 65
 
0.9%
Other values (32) 340
 
4.8%
Han
ValueCountFrequency (%)
碑 3
12.5%
命 2
 
8.3%
理 2
 
8.3%
學 2
 
8.3%
下 2
 
8.3%
上 2
 
8.3%
莊 1
 
4.2%
子 1
 
4.2%
南 1
 
4.2%
華 1
 
4.2%
Other values (7) 7
29.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15665
64.6%
ASCII 8516
35.1%
None 45
 
0.2%
CJK 24
 
0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5380
63.2%
: 511
 
6.0%
, 191
 
2.2%
e 151
 
1.8%
( 126
 
1.5%
) 126
 
1.5%
a 106
 
1.2%
o 106
 
1.2%
t 104
 
1.2%
1 103
 
1.2%
Other values (71) 1612
 
18.9%
Hangul
ValueCountFrequency (%)
이 481
 
3.1%
의 458
 
2.9%
는 431
 
2.8%
기 238
 
1.5%
아 235
 
1.5%
다 229
 
1.5%
지 218
 
1.4%
가 217
 
1.4%
리 216
 
1.4%
한 215
 
1.4%
Other values (826) 12727
81.2%
None
ValueCountFrequency (%)
· 29
64.4%
＆ 5
 
11.1%
× 4
 
8.9%
％ 2
 
4.4%
《 1
 
2.2%
》 1
 
2.2%
＃ 1
 
2.2%
『 1
 
2.2%
』 1
 
2.2%
CJK
ValueCountFrequency (%)
碑 3
12.5%
命 2
 
8.3%
理 2
 
8.3%
學 2
 
8.3%
下 2
 
8.3%
上 2
 
8.3%
莊 1
 
4.2%
子 1
 
4.2%
南 1
 
4.2%
華 1
 
4.2%
Other values (7) 7
29.2%
Punctuation
ValueCountFrequency (%)
… 1
33.3%
‘ 1
33.3%
’ 1
33.3%

저작자
Text

Distinct876
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-11T02:04:15.470819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length15.090909
Min length4

Characters and Unicode

Total characters14110
Distinct characters565
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique826 ?
Unique (%)88.3%

Sample

1st row강신주 지음
2nd row프랑수아즈 바르브-갈 지음 ; 박소현 옮김
3rd row오건영 지음
4th row이정연 지음
5th row톰 버틀러,케빈 양크 [공]지음 ; 김재영 ; 정병열 [공]옮김
ValueCountFrequency (%)
643
 
14.9%
지음 549
 
12.8%
옮김 303
 
7.0%
그림 246
 
5.7%
글 190
 
4.4%
글·그림 69
 
1.6%
공]지음 49
 
1.1%
외 19
 
0.4%
일러스트 17
 
0.4%
저 15
 
0.3%
Other values (1785) 2204
51.2%
2023-12-11T02:04:16.163291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3370
23.9%
지 683
 
4.8%
; 641
 
4.5%
음 618
 
4.4%
김 529
 
3.7%
그 347
 
2.5%
림 344
 
2.4%
옮 314
 
2.2%
이 299
 
2.1%
글 293
 
2.1%
Other values (555) 6672
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9503
67.3%
Space Separator 3370
 
23.9%
Other Punctuation 890
 
6.3%
Open Punctuation 114
 
0.8%
Close Punctuation 114
 
0.8%
Uppercase Letter 57
 
0.4%
Lowercase Letter 55
 
0.4%
Dash Punctuation 5
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 683
 
7.2%
음 618
 
6.5%
김 529
 
5.6%
그 347
 
3.7%
림 344
 
3.6%
옮 314
 
3.3%
이 299
 
3.1%
글 293
 
3.1%
스 181
 
1.9%
정 149
 
1.6%
Other values (511) 5746
60.5%
Uppercase Letter
ValueCountFrequency (%)
T 11
19.3%
V 6
10.5%
S 5
8.8%
C 4
 
7.0%
L 4
 
7.0%
M 3
 
5.3%
J 3
 
5.3%
R 3
 
5.3%
F 3
 
5.3%
D 3
 
5.3%
Other values (7) 12
21.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
16.4%
n 8
14.5%
r 6
10.9%
o 6
10.9%
t 6
10.9%
m 4
7.3%
y 3
 
5.5%
s 3
 
5.5%
a 3
 
5.5%
u 3
 
5.5%
Other values (3) 4
7.3%
Other Punctuation
ValueCountFrequency (%)
; 641
72.0%
, 101
 
11.3%
· 90
 
10.1%
. 55
 
6.2%
& 2
 
0.2%
／ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 113
99.1%
『 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
] 113
99.1%
』 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
7 1
50.0%
Space Separator
ValueCountFrequency (%)
3370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9499
67.3%
Common 4495
31.9%
Latin 112
 
0.8%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 683
 
7.2%
음 618
 
6.5%
김 529
 
5.6%
그 347
 
3.7%
림 344
 
3.6%
옮 314
 
3.3%
이 299
 
3.1%
글 293
 
3.1%
스 181
 
1.9%
정 149
 
1.6%
Other values (507) 5742
60.4%
Latin
ValueCountFrequency (%)
T 11
 
9.8%
e 9
 
8.0%
n 8
 
7.1%
r 6
 
5.4%
V 6
 
5.4%
o 6
 
5.4%
t 6
 
5.4%
S 5
 
4.5%
C 4
 
3.6%
m 4
 
3.6%
Other values (20) 47
42.0%
Common
ValueCountFrequency (%)
3370
75.0%
; 641
 
14.3%
[ 113
 
2.5%
] 113
 
2.5%
, 101
 
2.2%
· 90
 
2.0%
. 55
 
1.2%
- 5
 
0.1%
& 2
 
< 0.1%
／ 1
 
< 0.1%
Other values (4) 4
 
0.1%
Han
ValueCountFrequency (%)
呑 1
25.0%
虛 1
25.0%
譯 1
25.0%
解 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9499
67.3%
ASCII 4514
32.0%
None 93
 
0.7%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3370
74.7%
; 641
 
14.2%
[ 113
 
2.5%
] 113
 
2.5%
, 101
 
2.2%
. 55
 
1.2%
T 11
 
0.2%
e 9
 
0.2%
n 8
 
0.2%
r 6
 
0.1%
Other values (30) 87
 
1.9%
Hangul
ValueCountFrequency (%)
지 683
 
7.2%
음 618
 
6.5%
김 529
 
5.6%
그 347
 
3.7%
림 344
 
3.6%
옮 314
 
3.3%
이 299
 
3.1%
글 293
 
3.1%
스 181
 
1.9%
정 149
 
1.6%
Other values (507) 5742
60.4%
None
ValueCountFrequency (%)
· 90
96.8%
／ 1
 
1.1%
』 1
 
1.1%
『 1
 
1.1%
CJK
ValueCountFrequency (%)
呑 1
25.0%
虛 1
25.0%
譯 1
25.0%
解 1
25.0%

발행자
Text

Distinct566
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-11T02:04:16.529589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length5.2
Min length1

Characters and Unicode

Total characters4862
Distinct characters473
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique403 ?
Unique (%)43.1%

Sample

1st rowEBSBooks
2nd row동양북스
3rd rowpage2
4th row웅진지식하우스
5th row한빛미디어
ValueCountFrequency (%)
에듀앤테크 24
 
2.5%
다산어린이 21
 
2.2%
위즈덤하우스 16
 
1.7%
자음과모음 12
 
1.3%
다산어린이:스튜디오다산 11
 
1.2%
서울문화사 9
 
0.9%
길벗 9
 
0.9%
문학동네 8
 
0.8%
한빛미디어 7
 
0.7%
북랩 7
 
0.7%
Other values (569) 831
87.0%
2023-12-11T02:04:17.137410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 203
 
4.2%
이 152
 
3.1%
북 142
 
2.9%
: 126
 
2.6%
어 110
 
2.3%
사 104
 
2.1%
다 76
 
1.6%
아 68
 
1.4%
문 61
 
1.3%
산 59
 
1.2%
Other values (463) 3761
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4463
91.8%
Lowercase Letter 168
 
3.5%
Other Punctuation 133
 
2.7%
Uppercase Letter 61
 
1.3%
Space Separator 20
 
0.4%
Decimal Number 17
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 203
 
4.5%
이 152
 
3.4%
북 142
 
3.2%
어 110
 
2.5%
사 104
 
2.3%
다 76
 
1.7%
아 68
 
1.5%
문 61
 
1.4%
산 59
 
1.3%
린 58
 
1.3%
Other values (413) 3430
76.9%
Lowercase Letter
ValueCountFrequency (%)
o 31
18.5%
i 22
13.1%
k 17
10.1%
s 15
8.9%
a 12
 
7.1%
b 10
 
6.0%
e 9
 
5.4%
d 9
 
5.4%
r 8
 
4.8%
t 6
 
3.6%
Other values (10) 29
17.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
18.0%
P 9
14.8%
K 6
9.8%
R 6
9.8%
I 4
 
6.6%
H 4
 
6.6%
E 2
 
3.3%
M 2
 
3.3%
L 2
 
3.3%
V 2
 
3.3%
Other values (10) 13
21.3%
Decimal Number
ValueCountFrequency (%)
2 8
47.1%
1 5
29.4%
0 2
 
11.8%
9 1
 
5.9%
6 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 126
94.7%
# 4
 
3.0%
· 2
 
1.5%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4461
91.8%
Latin 229
 
4.7%
Common 170
 
3.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 203
 
4.6%
이 152
 
3.4%
북 142
 
3.2%
어 110
 
2.5%
사 104
 
2.3%
다 76
 
1.7%
아 68
 
1.5%
문 61
 
1.4%
산 59
 
1.3%
린 58
 
1.3%
Other values (411) 3428
76.8%
Latin
ValueCountFrequency (%)
o 31
 
13.5%
i 22
 
9.6%
k 17
 
7.4%
s 15
 
6.6%
a 12
 
5.2%
B 11
 
4.8%
b 10
 
4.4%
e 9
 
3.9%
P 9
 
3.9%
d 9
 
3.9%
Other values (30) 84
36.7%
Common
ValueCountFrequency (%)
: 126
74.1%
20
 
11.8%
2 8
 
4.7%
1 5
 
2.9%
# 4
 
2.4%
0 2
 
1.2%
· 2
 
1.2%
9 1
 
0.6%
. 1
 
0.6%
6 1
 
0.6%
Han
ValueCountFrequency (%)
林 1
50.0%
敎 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4461
91.8%
ASCII 397
 
8.2%
None 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 203
 
4.6%
이 152
 
3.4%
북 142
 
3.2%
어 110
 
2.5%
사 104
 
2.3%
다 76
 
1.7%
아 68
 
1.5%
문 61
 
1.4%
산 59
 
1.3%
린 58
 
1.3%
Other values (411) 3428
76.8%
ASCII
ValueCountFrequency (%)
: 126
31.7%
o 31
 
7.8%
i 22
 
5.5%
20
 
5.0%
k 17
 
4.3%
s 15
 
3.8%
a 12
 
3.0%
B 11
 
2.8%
b 10
 
2.5%
e 9
 
2.3%
Other values (39) 124
31.2%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
林 1
50.0%
敎 1
50.0%

발행년
Real number (ℝ)

Distinct10
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7155
Minimum2006
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-11T02:04:17.364453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2018
Q12020
median2020
Q32020
95-th percentile2020
Maximum2020
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1251101
Coefficient of variation (CV)0.00055706365
Kurtosis63.294318
Mean2019.7155
Median Absolute Deviation (MAD)0
Skewness-7.0132451
Sum1888434
Variance1.2658727
MonotonicityNot monotonic
2023-12-11T02:04:17.576190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2020 822
87.9%
2019 57
 
6.1%
2018 22
 
2.4%
2017 17
 
1.8%
2016 8
 
0.9%
2013 2
 
0.2%
2015 2
 
0.2%
2010 2
 
0.2%
2008 2
 
0.2%
2006 1
 
0.1%
ValueCountFrequency (%)
2006 1
 
0.1%
2008 2
 
0.2%
2010 2
 
0.2%
2013 2
 
0.2%
2015 2
 
0.2%
2016 8
 
0.9%
2017 17
 
1.8%
2018 22
 
2.4%
2019 57
 
6.1%
2020 822
87.9%
ValueCountFrequency (%)
2020 822
87.9%
2019 57
 
6.1%
2018 22
 
2.4%
2017 17
 
1.8%
2016 8
 
0.9%
2015 2
 
0.2%
2013 2
 
0.2%
2010 2
 
0.2%
2008 2
 
0.2%
2006 1
 
0.1%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
[정관]종합자료열람실
588 
[정관]어린이자료실
347 

Length

Max length11
Median length11
Mean length10.628877
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[정관]종합자료열람실
2nd row[정관]종합자료열람실
3rd row[정관]종합자료열람실
4th row[정관]종합자료열람실
5th row[정관]종합자료열람실

Common Values

ValueCountFrequency (%)
[정관]종합자료열람실 588
62.9%
[정관]어린이자료실 347
37.1%

Length

2023-12-11T02:04:17.836321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:04:18.048398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정관]종합자료열람실 588
62.9%
정관]어린이자료실 347
37.1%

Interactions

2023-12-11T02:04:12.284412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:11.977836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:12.790419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:04:12.125194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:04:18.158321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1190.997
발행년0.1191.0000.095
자료실명0.9970.0951.000
2023-12-11T02:04:18.316088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.0560.951
발행년0.0561.0000.105
자료실명0.9510.1051.000

Missing values

2023-12-11T02:04:13.016697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:04:13.205077image/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

순번서명저작자발행자발행년자료실명
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12아이와 미술에 대해 이야기 하는 법 : 어른과 아이가 함께 배우는 교양 미술프랑수아즈 바르브-갈 지음 ; 박소현 옮김동양북스2020[정관]종합자료열람실
23부의 대이동 : 달러와 금의 흐름으로 읽는 미래 투자 전략오건영 지음page22020[정관]종합자료열람실
34근육이 튼튼한 여자가 되고 싶어 : 다정하고 강한 여자들의 인생 근력 레이스이정연 지음웅진지식하우스2020[정관]종합자료열람실
45PHP ＆ MySQL 닌자 비법서 : 견고한 웹 애플리케이션을 만들며 초보에서 고수로 거듭나기톰 버틀러,케빈 양크 [공]지음 ; 김재영 ; 정병열 [공]옮김한빛미디어2019[정관]종합자료열람실
56Learning PHP, MySQL ＆ : with jQuery, CSS ＆ HTML5 : 동적인 소셜 웹 개발을 위한 6가지 핵심 기술로빈 닉슨 지음 ; 황진호 옮김에이콘2016[정관]종합자료열람실
67후찬와카집오나카토미노 요시노부 외 엮음 ; 최충희,이상민 [공]옮김지식을만드는지식2018[정관]종합자료열람실
78후습유와카집 : 140수 정선후지와라노 미치토시 외 엮음 ; 최충희 외 옮김지식을만드는지식2018[정관]종합자료열람실
89핫세 언니의 자격증 육아=Hasse's license childcare : 자격증 33개로 육아하는 엄마 이야기. 이론편김영희 지음더로드2020[정관]종합자료열람실
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931932놓지 마 과학!. 14, 정신이 바이러스에 정신 놓다신태훈,나승훈 [공]글·그림위즈덤하우스2020[정관]어린이자료실
932933Go Go 카카오프렌즈. 15, 브라질(Brazil)김미영 글 ; 김정한 그림아울북:북이십일2020[정관]어린이자료실
933934어린 여우를 위한 무서운 이야기크리스천 맥케이 하이디커 글 ; 준이 우 그림 ; 이원경 옮김밝은미래2020[정관]어린이자료실
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