Overview

Dataset statistics

Number of variables6
Number of observations328
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 KiB
Average record size in memory50.4 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description부산광역시 기장군 교리도서관 신착자료에 대한 데이터로 도서명, 저자, 출판사, 출판년도, 소장자료실에 대한 정보를 제공합니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15112602/fileData.do

Alerts

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

Reproduction

Analysis started2024-03-16 06:41:14.111304
Analysis finished2024-03-16 06:41:18.905414
Duration4.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct328
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.5
Minimum1
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-16T06:41:19.174335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.35
Q182.75
median164.5
Q3246.25
95-th percentile311.65
Maximum328
Range327
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation94.829672
Coefficient of variation (CV)0.57647217
Kurtosis-1.2
Mean164.5
Median Absolute Deviation (MAD)82
Skewness0
Sum53956
Variance8992.6667
MonotonicityStrictly increasing
2024-03-16T06:41:19.889313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
227 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
Other values (318) 318
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%

서명
Text

UNIQUE 

Distinct328
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-16T06:41:20.668385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length44
Mean length21.722561
Min length1

Characters and Unicode

Total characters7125
Distinct characters695
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)100.0%

Sample

1st row2000년생이 온다 초합리 초개인 초자율의 탈회사형 AI 인간
2nd row(고대 점토 석판에서 발견된) 5000년의 부
3rd rowAI 2024 트렌드 & 활용백과
4th row가치 있는 삶 무엇을 선택하고 이룰 것인가
5th row결코 배불리 먹지 말 것 성공과 행복을 이루고 싶다면!
ValueCountFrequency (%)
그림책 17
 
0.9%
1 13
 
0.7%
위한 12
 
0.6%
10
 
0.5%
2 10
 
0.5%
3 9
 
0.5%
어드벤처 9
 
0.5%
이야기 9
 
0.5%
나는 8
 
0.4%
세계 8
 
0.4%
Other values (1359) 1778
94.4%
2024-03-16T06:41:22.437583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1694
 
23.8%
153
 
2.1%
124
 
1.7%
114
 
1.6%
77
 
1.1%
74
 
1.0%
72
 
1.0%
72
 
1.0%
. 70
 
1.0%
69
 
1.0%
Other values (685) 4606
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4927
69.2%
Space Separator 1694
 
23.8%
Decimal Number 189
 
2.7%
Other Punctuation 107
 
1.5%
Lowercase Letter 68
 
1.0%
Close Punctuation 48
 
0.7%
Open Punctuation 48
 
0.7%
Uppercase Letter 36
 
0.5%
Math Symbol 6
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
153
 
3.1%
124
 
2.5%
114
 
2.3%
77
 
1.6%
74
 
1.5%
72
 
1.5%
72
 
1.5%
69
 
1.4%
67
 
1.4%
67
 
1.4%
Other values (634) 4038
82.0%
Lowercase Letter
ValueCountFrequency (%)
o 12
17.6%
t 9
13.2%
i 8
11.8%
h 5
 
7.4%
n 5
 
7.4%
d 4
 
5.9%
y 3
 
4.4%
s 3
 
4.4%
r 3
 
4.4%
k 2
 
2.9%
Other values (9) 14
20.6%
Uppercase Letter
ValueCountFrequency (%)
I 8
22.2%
S 6
16.7%
V 4
11.1%
T 4
11.1%
W 4
11.1%
A 2
 
5.6%
E 2
 
5.6%
G 2
 
5.6%
O 1
 
2.8%
B 1
 
2.8%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 59
31.2%
0 33
17.5%
2 23
 
12.2%
3 20
 
10.6%
5 15
 
7.9%
4 14
 
7.4%
9 8
 
4.2%
6 7
 
3.7%
8 5
 
2.6%
7 5
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 70
65.4%
! 34
31.8%
· 2
 
1.9%
& 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 4
66.7%
~ 2
33.3%
Space Separator
ValueCountFrequency (%)
1694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4924
69.1%
Common 2094
29.4%
Latin 104
 
1.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
153
 
3.1%
124
 
2.5%
114
 
2.3%
77
 
1.6%
74
 
1.5%
72
 
1.5%
72
 
1.5%
69
 
1.4%
67
 
1.4%
67
 
1.4%
Other values (631) 4035
81.9%
Latin
ValueCountFrequency (%)
o 12
 
11.5%
t 9
 
8.7%
I 8
 
7.7%
i 8
 
7.7%
S 6
 
5.8%
h 5
 
4.8%
n 5
 
4.8%
V 4
 
3.8%
T 4
 
3.8%
d 4
 
3.8%
Other values (21) 39
37.5%
Common
ValueCountFrequency (%)
1694
80.9%
. 70
 
3.3%
1 59
 
2.8%
) 48
 
2.3%
( 48
 
2.3%
! 34
 
1.6%
0 33
 
1.6%
2 23
 
1.1%
3 20
 
1.0%
5 15
 
0.7%
Other values (10) 50
 
2.4%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4921
69.1%
ASCII 2196
30.8%
CJK 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1694
77.1%
. 70
 
3.2%
1 59
 
2.7%
) 48
 
2.2%
( 48
 
2.2%
! 34
 
1.5%
0 33
 
1.5%
2 23
 
1.0%
3 20
 
0.9%
5 15
 
0.7%
Other values (40) 152
 
6.9%
Hangul
ValueCountFrequency (%)
153
 
3.1%
124
 
2.5%
114
 
2.3%
77
 
1.6%
74
 
1.5%
72
 
1.5%
72
 
1.5%
69
 
1.4%
67
 
1.4%
67
 
1.4%
Other values (628) 4032
81.9%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct289
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-16T06:41:23.228212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length14.420732
Min length5

Characters and Unicode

Total characters4730
Distinct characters374
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)81.1%

Sample

1st row임홍택 지음
2nd row조지 사무엘 클레이슨 지음 서진 편저
3rd row김덕진 지음
4th row미로슬라브 볼프 외 지음 김한슬기 옮김
5th row미즈노 남보쿠 지음 서진 편저
ValueCountFrequency (%)
지음 166
 
12.4%
그림 148
 
11.1%
124
 
9.3%
옮김 85
 
6.4%
글·그림 26
 
1.9%
원작 15
 
1.1%
흔한남매 8
 
0.6%
윤영 7
 
0.5%
페니 6
 
0.4%
워너 6
 
0.4%
Other values (601) 746
55.8%
2024-03-16T06:41:24.667920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1272
26.9%
211
 
4.5%
183
 
3.9%
178
 
3.8%
173
 
3.7%
168
 
3.6%
157
 
3.3%
94
 
2.0%
87
 
1.8%
60
 
1.3%
Other values (364) 2147
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3324
70.3%
Space Separator 1272
 
26.9%
Other Punctuation 40
 
0.8%
Lowercase Letter 24
 
0.5%
Uppercase Letter 21
 
0.4%
Close Punctuation 17
 
0.4%
Open Punctuation 17
 
0.4%
Decimal Number 8
 
0.2%
Math Symbol 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
211
 
6.3%
183
 
5.5%
178
 
5.4%
173
 
5.2%
168
 
5.1%
157
 
4.7%
94
 
2.8%
87
 
2.6%
60
 
1.8%
55
 
1.7%
Other values (330) 1958
58.9%
Uppercase Letter
ValueCountFrequency (%)
V 4
19.0%
T 4
19.0%
S 3
14.3%
N 3
14.3%
H 2
9.5%
B 1
 
4.8%
M 1
 
4.8%
F 1
 
4.8%
C 1
 
4.8%
E 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
t 6
25.0%
o 5
20.8%
v 3
12.5%
y 3
12.5%
r 3
12.5%
c 2
 
8.3%
s 1
 
4.2%
u 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
4 3
37.5%
1 2
25.0%
2 2
25.0%
0 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
] 15
88.2%
) 1
 
5.9%
1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
[ 15
88.2%
( 1
 
5.9%
1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
· 27
67.5%
. 13
32.5%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
< 3
50.0%
Space Separator
ValueCountFrequency (%)
1272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3324
70.3%
Common 1361
28.8%
Latin 45
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
211
 
6.3%
183
 
5.5%
178
 
5.4%
173
 
5.2%
168
 
5.1%
157
 
4.7%
94
 
2.8%
87
 
2.6%
60
 
1.8%
55
 
1.7%
Other values (330) 1958
58.9%
Latin
ValueCountFrequency (%)
t 6
13.3%
o 5
11.1%
V 4
8.9%
T 4
8.9%
S 3
 
6.7%
v 3
 
6.7%
y 3
 
6.7%
r 3
 
6.7%
N 3
 
6.7%
c 2
 
4.4%
Other values (8) 9
20.0%
Common
ValueCountFrequency (%)
1272
93.5%
· 27
 
2.0%
] 15
 
1.1%
[ 15
 
1.1%
. 13
 
1.0%
4 3
 
0.2%
> 3
 
0.2%
< 3
 
0.2%
1 2
 
0.1%
2 2
 
0.1%
Other values (6) 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3323
70.3%
ASCII 1377
29.1%
None 29
 
0.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1272
92.4%
] 15
 
1.1%
[ 15
 
1.1%
. 13
 
0.9%
t 6
 
0.4%
o 5
 
0.4%
V 4
 
0.3%
T 4
 
0.3%
S 3
 
0.2%
v 3
 
0.2%
Other values (21) 37
 
2.7%
Hangul
ValueCountFrequency (%)
211
 
6.3%
183
 
5.5%
178
 
5.4%
173
 
5.2%
168
 
5.1%
157
 
4.7%
94
 
2.8%
87
 
2.6%
60
 
1.8%
55
 
1.7%
Other values (329) 1957
58.9%
None
ValueCountFrequency (%)
· 27
93.1%
1
 
3.4%
1
 
3.4%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct183
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-16T06:41:25.551783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length4.2317073
Min length1

Characters and Unicode

Total characters1388
Distinct characters289
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)37.5%

Sample

1st row11퍼센트
2nd rowSnowfox
3rd row스마트북스
4th row흐름
5th rowSnowfox
ValueCountFrequency (%)
비룡소 16
 
4.8%
아이세움 12
 
3.6%
문학동네 9
 
2.7%
위즈덤하우스 8
 
2.4%
다산어린이 7
 
2.1%
아울북 6
 
1.8%
가람어린이 6
 
1.8%
김영사 5
 
1.5%
애플북스 5
 
1.5%
풀빛 5
 
1.5%
Other values (176) 253
76.2%
2024-03-16T06:41:27.577914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
4.7%
54
 
3.9%
42
 
3.0%
37
 
2.7%
32
 
2.3%
26
 
1.9%
24
 
1.7%
24
 
1.7%
23
 
1.7%
23
 
1.7%
Other values (279) 1038
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1275
91.9%
Lowercase Letter 76
 
5.5%
Uppercase Letter 21
 
1.5%
Space Separator 4
 
0.3%
Other Punctuation 4
 
0.3%
Decimal Number 4
 
0.3%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
5.1%
54
 
4.2%
42
 
3.3%
37
 
2.9%
32
 
2.5%
26
 
2.0%
24
 
1.9%
24
 
1.9%
23
 
1.8%
23
 
1.8%
Other values (246) 925
72.5%
Lowercase Letter
ValueCountFrequency (%)
o 18
23.7%
e 7
 
9.2%
s 7
 
9.2%
n 6
 
7.9%
r 5
 
6.6%
k 5
 
6.6%
a 5
 
6.6%
x 4
 
5.3%
w 4
 
5.3%
f 4
 
5.3%
Other values (7) 11
14.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
19.0%
S 4
19.0%
P 2
9.5%
H 2
9.5%
J 2
9.5%
O 2
9.5%
K 2
9.5%
U 1
 
4.8%
W 1
 
4.8%
T 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1275
91.9%
Latin 97
 
7.0%
Common 16
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
5.1%
54
 
4.2%
42
 
3.3%
37
 
2.9%
32
 
2.5%
26
 
2.0%
24
 
1.9%
24
 
1.9%
23
 
1.8%
23
 
1.8%
Other values (246) 925
72.5%
Latin
ValueCountFrequency (%)
o 18
18.6%
e 7
 
7.2%
s 7
 
7.2%
n 6
 
6.2%
r 5
 
5.2%
k 5
 
5.2%
a 5
 
5.2%
B 4
 
4.1%
x 4
 
4.1%
w 4
 
4.1%
Other values (17) 32
33.0%
Common
ValueCountFrequency (%)
4
25.0%
. 4
25.0%
1 3
18.8%
( 2
12.5%
) 2
12.5%
2 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1275
91.9%
ASCII 113
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
65
 
5.1%
54
 
4.2%
42
 
3.3%
37
 
2.9%
32
 
2.5%
26
 
2.0%
24
 
1.9%
24
 
1.9%
23
 
1.8%
23
 
1.8%
Other values (246) 925
72.5%
ASCII
ValueCountFrequency (%)
o 18
 
15.9%
e 7
 
6.2%
s 7
 
6.2%
n 6
 
5.3%
r 5
 
4.4%
k 5
 
4.4%
a 5
 
4.4%
B 4
 
3.5%
4
 
3.5%
. 4
 
3.5%
Other values (23) 48
42.5%

발행년
Real number (ℝ)

Distinct11
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.5945
Minimum2008
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-16T06:41:28.256204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2020
Q12022
median2023
Q32023
95-th percentile2024
Maximum2024
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5865163
Coefficient of variation (CV)0.00078439663
Kurtosis38.422227
Mean2022.5945
Median Absolute Deviation (MAD)0
Skewness-5.0097376
Sum663411
Variance2.517034
MonotonicityNot monotonic
2024-03-16T06:41:29.084007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 194
59.1%
2024 50
 
15.2%
2022 42
 
12.8%
2021 20
 
6.1%
2020 14
 
4.3%
2019 3
 
0.9%
2009 1
 
0.3%
2018 1
 
0.3%
2017 1
 
0.3%
2016 1
 
0.3%
ValueCountFrequency (%)
2008 1
 
0.3%
2009 1
 
0.3%
2016 1
 
0.3%
2017 1
 
0.3%
2018 1
 
0.3%
2019 3
 
0.9%
2020 14
 
4.3%
2021 20
 
6.1%
2022 42
 
12.8%
2023 194
59.1%
ValueCountFrequency (%)
2024 50
 
15.2%
2023 194
59.1%
2022 42
 
12.8%
2021 20
 
6.1%
2020 14
 
4.3%
2019 3
 
0.9%
2018 1
 
0.3%
2017 1
 
0.3%
2016 1
 
0.3%
2009 1
 
0.3%

자료실명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
[교리도서관]어린이자료실
221 
[교리도서관]종합자료실
107 

Length

Max length13
Median length13
Mean length12.67378
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[교리도서관]종합자료실
2nd row[교리도서관]종합자료실
3rd row[교리도서관]종합자료실
4th row[교리도서관]종합자료실
5th row[교리도서관]종합자료실

Common Values

ValueCountFrequency (%)
[교리도서관]어린이자료실 221
67.4%
[교리도서관]종합자료실 107
32.6%

Length

2024-03-16T06:41:29.624719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T06:41:30.018840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교리도서관]어린이자료실 221
67.4%
교리도서관]종합자료실 107
32.6%

Interactions

2024-03-16T06:41:17.203383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:41:16.325561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:41:17.573732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T06:41:16.736284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T06:41:30.381030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1180.975
발행년0.1181.0000.000
자료실명0.9750.0001.000
2024-03-16T06:41:30.625159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발행년자료실명
순번1.0000.1410.851
발행년0.1411.0000.000
자료실명0.8510.0001.000

Missing values

2024-03-16T06:41:18.083523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T06:41:18.602387image/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

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