Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory52.3 B

Variable types

Numeric3
Text1
Categorical2

Dataset

Description대전광역시 유성구 구즉도서관의 1년간 대출실적을 기준으로 선정한 베스트 도서대출 100선에 대한 데이터로 순위, 도서명, 저자, 출판사, 출판년, 대출횟수 등의 항목을 제공합니다.
Author대전광역시 유성구
URLhttps://www.data.go.kr/data/15053376/fileData.do

Alerts

순위 is highly overall correlated with 대출횟수High correlation
대출횟수 is highly overall correlated with 순위High correlation
저자 is highly overall correlated with 출판사High correlation
출판사 is highly overall correlated with 저자High correlation
순위 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:06:05.890143
Analysis finished2023-12-12 14:06:07.415752
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:06:07.521664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-12T23:06:07.668412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

서명
Text

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T23:06:07.941917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length42
Mean length26.67
Min length8

Characters and Unicode

Total characters2667
Distinct characters296
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)88.0%

Sample

1st row흔한남매 . 6
2nd row브레드 이발소 . 2 , 귀염뽀짝 베이커리타운 = Bread barbershop
3rd row(흔한남매) 안 흔한 일기 . 2
4th rowGo Go 카카오프렌즈 : 세계 역사 문화 체험 학습만화 . 19 , 한국 2 (Korea)
5th row(흔한남매) 안 흔한 일기 . 3
ValueCountFrequency (%)
166
 
21.6%
go 28
 
3.6%
1 21
 
2.7%
2 17
 
2.2%
쿠키런 17
 
2.2%
흔한남매 16
 
2.1%
쿠키들의 15
 
2.0%
신나는 14
 
1.8%
어드벤처 14
 
1.8%
세계여행 14
 
1.8%
Other values (226) 447
58.1%
2023-12-12T23:06:08.399726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
25.2%
. 90
 
3.4%
, 64
 
2.4%
1 49
 
1.8%
신 40
 
1.5%
의 36
 
1.3%
한 35
 
1.3%
쿠 34
 
1.3%
( 33
 
1.2%
키 33
 
1.2%
Other values (286) 1581
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1436
53.8%
Space Separator 672
25.2%
Other Punctuation 208
 
7.8%
Decimal Number 125
 
4.7%
Lowercase Letter 107
 
4.0%
Uppercase Letter 48
 
1.8%
Open Punctuation 33
 
1.2%
Close Punctuation 33
 
1.2%
Math Symbol 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 40
 
2.8%
의 36
 
2.5%
한 35
 
2.4%
쿠 34
 
2.4%
키 33
 
2.3%
아 32
 
2.2%
남 31
 
2.2%
카 30
 
2.1%
흔 27
 
1.9%
스 26
 
1.8%
Other values (233) 1112
77.4%
Lowercase Letter
ValueCountFrequency (%)
o 33
30.8%
e 11
 
10.3%
r 10
 
9.3%
a 8
 
7.5%
i 7
 
6.5%
u 5
 
4.7%
g 5
 
4.7%
l 4
 
3.7%
n 4
 
3.7%
y 3
 
2.8%
Other values (9) 17
15.9%
Uppercase Letter
ValueCountFrequency (%)
G 29
60.4%
X 5
 
10.4%
B 3
 
6.2%
T 2
 
4.2%
O 2
 
4.2%
K 2
 
4.2%
C 1
 
2.1%
R 1
 
2.1%
I 1
 
2.1%
S 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 49
39.2%
2 23
18.4%
4 13
 
10.4%
3 11
 
8.8%
5 9
 
7.2%
6 6
 
4.8%
7 4
 
3.2%
8 4
 
3.2%
9 3
 
2.4%
0 3
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 90
43.3%
, 64
30.8%
: 33
 
15.9%
! 13
 
6.2%
／ 5
 
2.4%
? 1
 
0.5%
& 1
 
0.5%
＆ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
672
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1436
53.8%
Common 1076
40.3%
Latin 155
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 40
 
2.8%
의 36
 
2.5%
한 35
 
2.4%
쿠 34
 
2.4%
키 33
 
2.3%
아 32
 
2.2%
남 31
 
2.2%
카 30
 
2.1%
흔 27
 
1.9%
스 26
 
1.8%
Other values (233) 1112
77.4%
Latin
ValueCountFrequency (%)
o 33
21.3%
G 29
18.7%
e 11
 
7.1%
r 10
 
6.5%
a 8
 
5.2%
i 7
 
4.5%
u 5
 
3.2%
g 5
 
3.2%
X 5
 
3.2%
l 4
 
2.6%
Other values (20) 38
24.5%
Common
ValueCountFrequency (%)
672
62.5%
. 90
 
8.4%
, 64
 
5.9%
1 49
 
4.6%
( 33
 
3.1%
) 33
 
3.1%
: 33
 
3.1%
2 23
 
2.1%
4 13
 
1.2%
! 13
 
1.2%
Other values (13) 53
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1436
53.8%
ASCII 1225
45.9%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
54.9%
. 90
 
7.3%
, 64
 
5.2%
1 49
 
4.0%
( 33
 
2.7%
) 33
 
2.7%
: 33
 
2.7%
o 33
 
2.7%
G 29
 
2.4%
2 23
 
1.9%
Other values (41) 166
 
13.6%
Hangul
ValueCountFrequency (%)
신 40
 
2.8%
의 36
 
2.5%
한 35
 
2.4%
쿠 34
 
2.4%
키 33
 
2.3%
아 32
 
2.2%
남 31
 
2.2%
카 30
 
2.1%
흔 27
 
1.9%
스 26
 
1.8%
Other values (233) 1112
77.4%
None
ValueCountFrequency (%)
／ 5
83.3%
＆ 1
 
16.7%

저자
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
흔한남매
18 
송도수
14 
김미영
13 
신태훈
9 
에그박사
6 
Other values (22)
40 

Length

Max length15
Median length3
Mean length3.65
Min length3

Unique

Unique12 ?
Unique (%)12.0%

Sample

1st row흔한남매
2nd row몬스터 스튜디오
3rd row흔한남매
4th row김미영
5th row흔한남매

Common Values

ValueCountFrequency (%)
흔한남매 18
18.0%
송도수 14
14.0%
김미영 13
13.0%
신태훈 9
9.0%
에그박사 6
 
6.0%
조재호 5
 
5.0%
임우영 4
 
4.0%
백종원 3
 
3.0%
김현수 3
 
3.0%
한현동 3
 
3.0%
Other values (17) 22
22.0%

Length

2023-12-12T23:06:08.541008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
흔한남매 18
17.0%
송도수 14
13.2%
김미영 13
12.3%
신태훈 9
 
8.5%
에그박사 6
 
5.7%
조재호 5
 
4.7%
임우영 4
 
3.8%
백종원 3
 
2.8%
김현수 3
 
2.8%
한현동 3
 
2.8%
Other values (21) 28
26.4%

출판사
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울문화사
20 
아울북
16 
위즈덤하우스
15 
아이세움
14 
미래엔
9 
Other values (13)
26 

Length

Max length12
Median length8
Mean length5.09
Min length3

Unique

Unique7 ?
Unique (%)7.0%

Sample

1st row미래엔
2nd row한솔수북
3rd row미래엔
4th row아울북
5th row미래엔 아이세움

Common Values

ValueCountFrequency (%)
서울문화사 20
20.0%
아울북 16
16.0%
위즈덤하우스 15
15.0%
아이세움 14
14.0%
미래엔 9
9.0%
주니어김영사 6
 
6.0%
MiraeN·아이세움 5
 
5.0%
길벗스쿨 2
 
2.0%
Mirea N 아이세움 2
 
2.0%
위즈덤하우스 미디어그룹 2
 
2.0%
Other values (8) 9
9.0%

Length

2023-12-12T23:06:08.680439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울문화사 20
18.7%
위즈덤하우스 17
15.9%
아이세움 17
15.9%
아울북 16
15.0%
미래엔 10
9.3%
주니어김영사 6
 
5.6%
miraen·아이세움 5
 
4.7%
한솔수북 2
 
1.9%
미디어그룹 2
 
1.9%
n 2
 
1.9%
Other values (8) 10
9.3%

출판년
Real number (ℝ)

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.12
Minimum2013
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:06:08.794325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2016
Q12019
median2019
Q32020
95-th percentile2021
Maximum2021
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4993601
Coefficient of variation (CV)0.00074258099
Kurtosis3.2417594
Mean2019.12
Median Absolute Deviation (MAD)1
Skewness-1.4931471
Sum201912
Variance2.2480808
MonotonicityNot monotonic
2023-12-12T23:06:08.943213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2020 33
33.0%
2019 31
31.0%
2021 13
 
13.0%
2018 11
 
11.0%
2017 6
 
6.0%
2016 3
 
3.0%
2014 1
 
1.0%
2015 1
 
1.0%
2013 1
 
1.0%
ValueCountFrequency (%)
2013 1
 
1.0%
2014 1
 
1.0%
2015 1
 
1.0%
2016 3
 
3.0%
2017 6
 
6.0%
2018 11
 
11.0%
2019 31
31.0%
2020 33
33.0%
2021 13
 
13.0%
ValueCountFrequency (%)
2021 13
 
13.0%
2020 33
33.0%
2019 31
31.0%
2018 11
 
11.0%
2017 6
 
6.0%
2016 3
 
3.0%
2015 1
 
1.0%
2014 1
 
1.0%
2013 1
 
1.0%

대출횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.76
Minimum27
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:06:09.102374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile27
Q128
median29
Q331
95-th percentile34
Maximum35
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2879571
Coefficient of variation (CV)0.076880277
Kurtosis-0.47985359
Mean29.76
Median Absolute Deviation (MAD)1
Skewness0.74571231
Sum2976
Variance5.2347475
MonotonicityDecreasing
2023-12-12T23:06:09.211134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
29 21
21.0%
28 21
21.0%
27 15
15.0%
30 12
12.0%
34 8
 
8.0%
31 8
 
8.0%
32 7
 
7.0%
33 5
 
5.0%
35 3
 
3.0%
ValueCountFrequency (%)
27 15
15.0%
28 21
21.0%
29 21
21.0%
30 12
12.0%
31 8
 
8.0%
32 7
 
7.0%
33 5
 
5.0%
34 8
 
8.0%
35 3
 
3.0%
ValueCountFrequency (%)
35 3
 
3.0%
34 8
 
8.0%
33 5
 
5.0%
32 7
 
7.0%
31 8
 
8.0%
30 12
12.0%
29 21
21.0%
28 21
21.0%
27 15
15.0%

Interactions

2023-12-12T23:06:06.874456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.293506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.569783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.987571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.371590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.670148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:07.103532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.465096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:06.773031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:06:09.302385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위서명저자출판사출판년대출횟수
순위1.0000.8350.3630.2450.0480.911
서명0.8351.0001.0000.9970.9980.084
저자0.3631.0001.0000.9780.7110.480
출판사0.2450.9970.9781.0000.1870.317
출판년0.0480.9980.7110.1871.0000.000
대출횟수0.9110.0840.4800.3170.0001.000
2023-12-12T23:06:09.442271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
저자출판사
저자1.0000.713
출판사0.7131.000
2023-12-12T23:06:09.545357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위출판년대출횟수저자출판사
순위1.000-0.166-0.9870.1140.081
출판년-0.1661.0000.1940.2990.045
대출횟수-0.9870.1941.0000.1530.096
저자0.1140.2990.1531.0000.713
출판사0.0810.0450.0960.7131.000

Missing values

2023-12-12T23:06:07.250743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:06:07.373931image/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

순위서명저자출판사출판년대출횟수
01흔한남매 . 6흔한남매미래엔202035
12브레드 이발소 . 2 , 귀염뽀짝 베이커리타운 = Bread barbershop몬스터 스튜디오한솔수북202035
23(흔한남매) 안 흔한 일기 . 2흔한남매미래엔202035
34Go Go 카카오프렌즈 : 세계 역사 문화 체험 학습만화 . 19 , 한국 2 (Korea)김미영아울북202134
45(흔한남매) 안 흔한 일기 . 3흔한남매미래엔 아이세움202034
56요리스타 청 . 13 , 진짜 청이를 찾아라조재호주니어김영사201934
67(신비아파트 고스트볼X의 탄생) 속담의 저주박세준위즈덤하우스201934
78(흔한남매의)흔한 호기심 . 1흔한남매미래엔202034
89(흔한남매의)흔한 호기심 . 1흔한남매미래엔202034
910(신비아파트 고스트볼 더블X 6개의 예언) 나와라! 북한말 주문진이수겸위즈덤하우스202034
순위서명저자출판사출판년대출횟수
9091지하철 사고에서 살아남기 . 2곰돌이 co아이세움202027
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