Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells1
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory56.0 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description- 제주도 내 위치한 공공 도서관의 이름, 주소 등의 정보를 제공합니다. - 데이터 기준일: 2021.11.23 - 데이터 제공처: 제주특별자치도
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/888

Alerts

데이터 기준일 has constant value ""Constant
전화 번호 has 1 (4.5%) missing valuesMissing
도서관명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:40:50.422689
Analysis finished2023-12-11 19:40:51.082068
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개관 일자
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19947489
Minimum19571101
Maximum20171014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T04:40:51.172732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19571101
5-th percentile19650592
Q119901207
median19975556
Q320020656
95-th percentile20080067
Maximum20171014
Range599913
Interquartile range (IQR)119448.5

Descriptive statistics

Standard deviation134758.8
Coefficient of variation (CV)0.0067556773
Kurtosis2.7401759
Mean19947489
Median Absolute Deviation (MAD)64948.5
Skewness-1.4253213
Sum4.3884477 × 108
Variance1.8159935 × 1010
MonotonicityNot monotonic
2023-12-12T04:40:51.328716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20040505 2
 
9.1%
20171014 1
 
4.5%
19980612 1
 
4.5%
19640612 1
 
4.5%
19960611 1
 
4.5%
19950524 1
 
4.5%
19901203 1
 
4.5%
19901220 1
 
4.5%
19571101 1
 
4.5%
20020220 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
19571101 1
4.5%
19640612 1
4.5%
19840217 1
4.5%
19860701 1
4.5%
19890630 1
4.5%
19901203 1
4.5%
19901220 1
4.5%
19941018 1
4.5%
19950524 1
4.5%
19960611 1
4.5%
ValueCountFrequency (%)
20171014 1
4.5%
20081113 1
4.5%
20060202 1
4.5%
20040505 2
9.1%
20020801 1
4.5%
20020220 1
4.5%
20010115 1
4.5%
20000929 1
4.5%
19990412 1
4.5%
19980612 1
4.5%

도서관명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T04:40:51.592458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.7727273
Min length5

Characters and Unicode

Total characters149
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row제주꿈바당어린이도서관
2nd row한라도서관
3rd row우당도서관
4th row제주기적의도서관
5th row탐라도서관
ValueCountFrequency (%)
제주꿈바당어린이도서관 1
 
4.5%
한라도서관 1
 
4.5%
제남도서관 1
 
4.5%
동녘도서관 1
 
4.5%
한수풀도서관 1
 
4.5%
송악도서관 1
 
4.5%
제주도서관 1
 
4.5%
표선도서관 1
 
4.5%
안덕산방도서관 1
 
4.5%
성산일출도서관 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T04:40:52.141860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 28
18.8%
도 21
14.1%
관 21
14.1%
포 6
 
4.0%
귀 6
 
4.0%
제 4
 
2.7%
시 4
 
2.7%
주 3
 
2.0%
한 3
 
2.0%
기 2
 
1.3%
Other values (44) 51
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
18.8%
도 21
14.1%
관 21
14.1%
포 6
 
4.0%
귀 6
 
4.0%
제 4
 
2.7%
시 4
 
2.7%
주 3
 
2.0%
한 3
 
2.0%
기 2
 
1.3%
Other values (44) 51
34.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
18.8%
도 21
14.1%
관 21
14.1%
포 6
 
4.0%
귀 6
 
4.0%
제 4
 
2.7%
시 4
 
2.7%
주 3
 
2.0%
한 3
 
2.0%
기 2
 
1.3%
Other values (44) 51
34.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 28
18.8%
도 21
14.1%
관 21
14.1%
포 6
 
4.0%
귀 6
 
4.0%
제 4
 
2.7%
시 4
 
2.7%
주 3
 
2.0%
한 3
 
2.0%
기 2
 
1.3%
Other values (44) 51
34.2%

운영 기관
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
서귀포시청
8 
제주시청
6 
교육청
6 
평생교육장학진흥원
1 
제주도청
1 

Length

Max length9
Median length5
Mean length4.3181818
Min length3

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row평생교육장학진흥원
2nd row제주도청
3rd row제주시청
4th row제주시청
5th row제주시청

Common Values

ValueCountFrequency (%)
서귀포시청 8
36.4%
제주시청 6
27.3%
교육청 6
27.3%
평생교육장학진흥원 1
 
4.5%
제주도청 1
 
4.5%

Length

2023-12-12T04:40:52.352107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:40:52.530480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시청 8
36.4%
제주시청 6
27.3%
교육청 6
27.3%
평생교육장학진흥원 1
 
4.5%
제주도청 1
 
4.5%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T04:40:52.843947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length15.545455
Min length10

Characters and Unicode

Total characters342
Distinct characters66
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row제주시 연오로 140
2nd row제주시 오남로 221
3rd row제주시 사라봉동길 30
4th row제주시 동광로 12길 19
5th row제주시 정원로 50
ValueCountFrequency (%)
제주시 11
 
14.1%
서귀포시 11
 
14.1%
일주동로 4
 
5.1%
8593 1
 
1.3%
고성오조로 1
 
1.3%
133 1
 
1.3%
안덕면 1
 
1.3%
화순서서로 1
 
1.3%
44 1
 
1.3%
표선면 1
 
1.3%
Other values (45) 45
57.7%
2023-12-12T04:40:53.423042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
16.4%
시 22
 
6.4%
로 21
 
6.1%
1 21
 
6.1%
주 16
 
4.7%
3 14
 
4.1%
서 14
 
4.1%
제 11
 
3.2%
포 11
 
3.2%
귀 11
 
3.2%
Other values (56) 145
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
60.2%
Decimal Number 77
 
22.5%
Space Separator 56
 
16.4%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 22
 
10.7%
로 21
 
10.2%
주 16
 
7.8%
서 14
 
6.8%
제 11
 
5.3%
포 11
 
5.3%
귀 11
 
5.3%
읍 7
 
3.4%
동 7
 
3.4%
일 6
 
2.9%
Other values (44) 80
38.8%
Decimal Number
ValueCountFrequency (%)
1 21
27.3%
3 14
18.2%
2 9
11.7%
4 8
 
10.4%
0 7
 
9.1%
9 6
 
7.8%
8 5
 
6.5%
5 4
 
5.2%
6 2
 
2.6%
7 1
 
1.3%
Space Separator
ValueCountFrequency (%)
56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
60.2%
Common 136
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 22
 
10.7%
로 21
 
10.2%
주 16
 
7.8%
서 14
 
6.8%
제 11
 
5.3%
포 11
 
5.3%
귀 11
 
5.3%
읍 7
 
3.4%
동 7
 
3.4%
일 6
 
2.9%
Other values (44) 80
38.8%
Common
ValueCountFrequency (%)
56
41.2%
1 21
 
15.4%
3 14
 
10.3%
2 9
 
6.6%
4 8
 
5.9%
0 7
 
5.1%
9 6
 
4.4%
8 5
 
3.7%
5 4
 
2.9%
- 3
 
2.2%
Other values (2) 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
60.2%
ASCII 136
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
41.2%
1 21
 
15.4%
3 14
 
10.3%
2 9
 
6.6%
4 8
 
5.9%
0 7
 
5.1%
9 6
 
4.4%
8 5
 
3.7%
5 4
 
2.9%
- 3
 
2.2%
Other values (2) 3
 
2.2%
Hangul
ValueCountFrequency (%)
시 22
 
10.7%
로 21
 
10.2%
주 16
 
7.8%
서 14
 
6.8%
제 11
 
5.3%
포 11
 
5.3%
귀 11
 
5.3%
읍 7
 
3.4%
동 7
 
3.4%
일 6
 
2.9%
Other values (44) 80
38.8%

전화 번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-12T04:40:53.734885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row064-745-7101
2nd row064-710-8666
3rd row064-722-3391
4th row064-710-6546
5th row064-742-7395
ValueCountFrequency (%)
064-745-7101 1
 
4.8%
064-739-9862 1
 
4.8%
064-782-5304 1
 
4.8%
064-796-0601 1
 
4.8%
064-794-3476 1
 
4.8%
064-756-4073 1
 
4.8%
064-787-5488 1
 
4.8%
064-794-2489 1
 
4.8%
064-730-1486 1
 
4.8%
064-732-3251 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T04:40:54.257652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
6 38
15.1%
4 37
14.7%
0 31
12.3%
7 29
11.5%
3 15
 
6.0%
1 13
 
5.2%
2 13
 
5.2%
8 12
 
4.8%
5 11
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 38
18.1%
4 37
17.6%
0 31
14.8%
7 29
13.8%
3 15
 
7.1%
1 13
 
6.2%
2 13
 
6.2%
8 12
 
5.7%
5 11
 
5.2%
9 11
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
6 38
15.1%
4 37
14.7%
0 31
12.3%
7 29
11.5%
3 15
 
6.0%
1 13
 
5.2%
2 13
 
5.2%
8 12
 
4.8%
5 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
6 38
15.1%
4 37
14.7%
0 31
12.3%
7 29
11.5%
3 15
 
6.0%
1 13
 
5.2%
2 13
 
5.2%
8 12
 
4.8%
5 11
 
4.4%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
20211123
22 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20211123
2nd row20211123
3rd row20211123
4th row20211123
5th row20211123

Common Values

ValueCountFrequency (%)
20211123 22
100.0%

Length

2023-12-12T04:40:54.500336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:40:54.664413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20211123 22
100.0%

Interactions

2023-12-12T04:40:50.723999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:40:54.778310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개관 일자도서관명운영 기관주소전화 번호
개관 일자1.0001.0000.7001.0001.000
도서관명1.0001.0001.0001.0001.000
운영 기관0.7001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
전화 번호1.0001.0001.0001.0001.000
2023-12-12T04:40:54.948228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개관 일자운영 기관
개관 일자1.0000.477
운영 기관0.4771.000

Missing values

2023-12-12T04:40:50.867055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:40:51.014761image/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

개관 일자도서관명운영 기관주소전화 번호데이터 기준일
020171014제주꿈바당어린이도서관평생교육장학진흥원제주시 연오로 140064-745-710120211123
120081113한라도서관제주도청제주시 오남로 221064-710-866620211123
219840217우당도서관제주시청제주시 사라봉동길 30064-722-339120211123
320040505제주기적의도서관제주시청제주시 동광로 12길 19064-710-654620211123
419890630탐라도서관제주시청제주시 정원로 50064-742-739520211123
519970501애월도서관제주시청제주시 애월읍 일주서로 6339064-799-848820211123
619990412조천읍도서관제주시청제주시 조천읍 일주동로 1189064-784-600320211123
720020801한경도서관제주시청제주시 한경면 신한로 13064-772-372220211123
819941018서귀포시중앙도서관서귀포시청서귀포시 김정문화로 32064-739-151620211123
919860701서귀포시삼매봉도서관서귀포시청서귀포시 남성중로3번길 15064-733-152420211123
개관 일자도서관명운영 기관주소전화 번호데이터 기준일
1220040505서귀포기적의도서관서귀포시청서귀포시 일주동로 8593064-732-325120211123
1319980612성산일출도서관서귀포시청서귀포시 성산읍 고성오조로 133064-730-148620211123
1420010115안덕산방도서관서귀포시청서귀포시 안덕면 화순서서로 44064-794-248920211123
1520020220표선도서관서귀포시청서귀포시 표선면 표선백사로110번길 17-10064-787-548820211123
1619571101제주도서관교육청제주시 연삼로 489064-756-407320211123
1719901220송악도서관교육청서귀포시 대정읍 동일하모로149번길 12064-794-347620211123
1819901203한수풀도서관교육청제주시 한림읍 한림상로 240-11064-796-060120211123
1919950524동녘도서관교육청제주시 구좌읍 일주동로 3132064-782-530420211123
2019960611제남도서관교육청서귀포시 남원읍 남원체육관로 183064-764-465120211123
2119640612서귀포학생문화원교육청서귀포시 중앙로 150번길 4-1<NA>20211123