Overview

Dataset statistics

Number of variables5
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory42.8 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description본 데이터는 영도구 관내에 소재한 평생학습 주요기관에 대한 데이터로 기관명, 대표번호, 주소, 작성일과 같은 정보를 제공하고 있습니다.
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15045453/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:06:23.138129
Analysis finished2023-12-11 23:06:23.950105
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T08:06:24.034942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-12T08:06:24.191751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

기관명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T08:06:24.433907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.625
Min length5

Characters and Unicode

Total characters621
Distinct characters113
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row영도도서관
2nd row남항동행정복지센터
3rd row영선1동행정복지센터
4th row영선2동행정복지센터
5th row신선동행정복지센터
ValueCountFrequency (%)
영도도서관 2
 
2.3%
영도구노인복지관 2
 
2.3%
영도구 2
 
2.3%
국립해양박물관 2
 
2.3%
남항분관 2
 
2.3%
영도구청 2
 
2.3%
부산광역시 2
 
2.3%
영도구평생학습관 2
 
2.3%
청학1동행정복지센터 1
 
1.2%
중리초등학교 1
 
1.2%
Other values (68) 68
79.1%
2023-12-12T08:06:24.897868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 39
 
6.3%
학 37
 
6.0%
영 29
 
4.7%
도 28
 
4.5%
지 25
 
4.0%
관 23
 
3.7%
복 21
 
3.4%
등 21
 
3.4%
동 20
 
3.2%
센 17
 
2.7%
Other values (103) 361
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 593
95.5%
Space Separator 14
 
2.3%
Decimal Number 10
 
1.6%
Other Punctuation 2
 
0.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 39
 
6.6%
학 37
 
6.2%
영 29
 
4.9%
도 28
 
4.7%
지 25
 
4.2%
관 23
 
3.9%
복 21
 
3.5%
등 21
 
3.5%
동 20
 
3.4%
센 17
 
2.9%
Other values (96) 333
56.2%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 4
40.0%
3 2
20.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 593
95.5%
Common 28
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 39
 
6.6%
학 37
 
6.2%
영 29
 
4.9%
도 28
 
4.7%
지 25
 
4.2%
관 23
 
3.9%
복 21
 
3.5%
등 21
 
3.5%
동 20
 
3.4%
센 17
 
2.9%
Other values (96) 333
56.2%
Common
ValueCountFrequency (%)
14
50.0%
2 4
 
14.3%
1 4
 
14.3%
' 2
 
7.1%
3 2
 
7.1%
( 1
 
3.6%
) 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 593
95.5%
ASCII 28
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 39
 
6.6%
학 37
 
6.2%
영 29
 
4.9%
도 28
 
4.7%
지 25
 
4.2%
관 23
 
3.9%
복 21
 
3.5%
등 21
 
3.5%
동 20
 
3.4%
센 17
 
2.9%
Other values (96) 333
56.2%
ASCII
ValueCountFrequency (%)
14
50.0%
2 4
 
14.3%
1 4
 
14.3%
' 2
 
7.1%
3 2
 
7.1%
( 1
 
3.6%
) 1
 
3.6%

연락처
Text

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T08:06:25.125479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters864
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

Unique67 ?
Unique (%)93.1%

Sample

1st row051-419-4831
2nd row051-419-5505
3rd row051-419-5525
4th row051-419-5542
5th row051-419-5607
ValueCountFrequency (%)
051-419-4515 3
 
4.2%
051-405-2133 2
 
2.8%
051-419-4516 1
 
1.4%
051-416-1934 1
 
1.4%
051-419-5574 1
 
1.4%
051-403-9802 1
 
1.4%
051-419-4831 1
 
1.4%
051-405-4861 1
 
1.4%
051-414-9880 1
 
1.4%
051-403-8985 1
 
1.4%
Other values (59) 59
81.9%
2023-12-12T08:06:25.450779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 150
17.4%
0 147
17.0%
- 144
16.7%
5 130
15.0%
4 108
12.5%
9 41
 
4.7%
3 37
 
4.3%
6 35
 
4.1%
2 32
 
3.7%
7 24
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
83.3%
Dash Punctuation 144
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 150
20.8%
0 147
20.4%
5 130
18.1%
4 108
15.0%
9 41
 
5.7%
3 37
 
5.1%
6 35
 
4.9%
2 32
 
4.4%
7 24
 
3.3%
8 16
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 150
17.4%
0 147
17.0%
- 144
16.7%
5 130
15.0%
4 108
12.5%
9 41
 
4.7%
3 37
 
4.3%
6 35
 
4.1%
2 32
 
3.7%
7 24
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 150
17.4%
0 147
17.0%
- 144
16.7%
5 130
15.0%
4 108
12.5%
9 41
 
4.7%
3 37
 
4.3%
6 35
 
4.1%
2 32
 
3.7%
7 24
 
2.8%

주소
Text

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T08:06:25.696301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length19.083333
Min length16

Characters and Unicode

Total characters1374
Distinct characters91
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)93.1%

Sample

1st row부산광역시 영도구 절영로 71(남항동2가)
2nd row부산광역시 영도구 남항로9번길 1
3rd row부산광역시 영도구 꿈나무길 25
4th row부산광역시 영도구 영선대로 65
5th row부산광역시 영도구 하나길 317
ValueCountFrequency (%)
부산광역시 72
24.4%
영도구 72
24.4%
태종로 9
 
3.1%
절영로 8
 
2.7%
함지로79번길 6
 
2.0%
와치로 5
 
1.7%
상리로 4
 
1.4%
5 4
 
1.4%
423 3
 
1.0%
해양로301번길 3
 
1.0%
Other values (96) 109
36.9%
2023-12-12T08:06:26.043616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
16.2%
영 87
 
6.3%
도 75
 
5.5%
산 75
 
5.5%
부 72
 
5.2%
광 72
 
5.2%
역 72
 
5.2%
시 72
 
5.2%
구 72
 
5.2%
로 57
 
4.1%
Other values (81) 497
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 904
65.8%
Space Separator 223
 
16.2%
Decimal Number 221
 
16.1%
Close Punctuation 8
 
0.6%
Open Punctuation 8
 
0.6%
Dash Punctuation 5
 
0.4%
Other Punctuation 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 87
9.6%
도 75
 
8.3%
산 75
 
8.3%
부 72
 
8.0%
광 72
 
8.0%
역 72
 
8.0%
시 72
 
8.0%
구 72
 
8.0%
로 57
 
6.3%
길 35
 
3.9%
Other values (65) 215
23.8%
Decimal Number
ValueCountFrequency (%)
2 36
16.3%
1 35
15.8%
3 28
12.7%
4 25
11.3%
7 20
9.0%
9 19
8.6%
5 18
8.1%
6 16
7.2%
0 14
 
6.3%
8 10
 
4.5%
Space Separator
ValueCountFrequency (%)
223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 904
65.8%
Common 470
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 87
9.6%
도 75
 
8.3%
산 75
 
8.3%
부 72
 
8.0%
광 72
 
8.0%
역 72
 
8.0%
시 72
 
8.0%
구 72
 
8.0%
로 57
 
6.3%
길 35
 
3.9%
Other values (65) 215
23.8%
Common
ValueCountFrequency (%)
223
47.4%
2 36
 
7.7%
1 35
 
7.4%
3 28
 
6.0%
4 25
 
5.3%
7 20
 
4.3%
9 19
 
4.0%
5 18
 
3.8%
6 16
 
3.4%
0 14
 
3.0%
Other values (6) 36
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 904
65.8%
ASCII 470
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
47.4%
2 36
 
7.7%
1 35
 
7.4%
3 28
 
6.0%
4 25
 
5.3%
7 20
 
4.3%
9 19
 
4.0%
5 18
 
3.8%
6 16
 
3.4%
0 14
 
3.0%
Other values (6) 36
 
7.7%
Hangul
ValueCountFrequency (%)
영 87
9.6%
도 75
 
8.3%
산 75
 
8.3%
부 72
 
8.0%
광 72
 
8.0%
역 72
 
8.0%
시 72
 
8.0%
구 72
 
8.0%
로 57
 
6.3%
길 35
 
3.9%
Other values (65) 215
23.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2022-09-20
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-20
2nd row2022-09-20
3rd row2022-09-20
4th row2022-09-20
5th row2022-09-20

Common Values

ValueCountFrequency (%)
2022-09-20 72
100.0%

Length

2023-12-12T08:06:26.367072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:26.451349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-20 72
100.0%

Interactions

2023-12-12T08:06:23.653983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:06:26.514479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기관명연락처주소
번호1.0001.0000.9120.974
기관명1.0001.0001.0001.000
연락처0.9121.0001.0000.997
주소0.9741.0000.9971.000

Missing values

2023-12-12T08:06:23.795315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:06:23.907080image/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

번호기관명연락처주소데이터기준일자
01영도도서관051-419-4831부산광역시 영도구 절영로 71(남항동2가)2022-09-20
12남항동행정복지센터051-419-5505부산광역시 영도구 남항로9번길 12022-09-20
23영선1동행정복지센터051-419-5525부산광역시 영도구 꿈나무길 252022-09-20
34영선2동행정복지센터051-419-5542부산광역시 영도구 영선대로 652022-09-20
45신선동행정복지센터051-419-5607부산광역시 영도구 하나길 3172022-09-20
56봉래1동행정복지센터051-419-5622부산광역시 영도구 대교로6번길 52022-09-20
67봉래2동행정복지센터051-419-5642부산광역시 영도구 태종로165번길 1-82022-09-20
78청학1동행정복지센터051-419-5682부산광역시 영도구 청학서로 782022-09-20
89청학2동행정복지센터051-419-5712부산광역시 영도구 태종로 3942022-09-20
910동삼1동행정복지센터051-419-5726부산광역시 영도구 중리로 44-12022-09-20
번호기관명연락처주소데이터기준일자
6263영도구노인복지관 분관051-418-6300부산광역시 영도구 봉래길 3722022-09-20
6364해양환경교육원051-400-7725부산광역시 영도구 해양로301번길 232022-09-20
6465국립해양박물관051-309-1900부산광역시 영도구 해양로301번길 452022-09-20
6566영도구진로교육지원센터051-404-5200부산광역시 영도구 절영로 321, 2층(동삼동)2022-09-20
6667영도구 다행복교육지구051-419-4516부산광역시 영도구 태종로 4232022-09-20
6768영도구청 전산교육장051-419-4301부산광역시 영도구 태종로 4232022-09-20
6869영도문화예술회관051-419-5574부산광역시 영도구 함지로79번길 6(동삼동)2022-09-20
6970영도놀이마루051-403-3461부산광역시 영도구 와치로 2592022-09-20
7071영도구평생학습관051-419-4515부산광역시 영도구 와치로 2592022-09-20
7172영도구평생학습관 남항분관051-419-4515부산광역시 영도구 절영로 71, 4~5층2022-09-20