Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.4 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시기장군_평생학습네트워크기관_20230809
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15045301

Alerts

연번 has unique valuesUnique
기관명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:31:46.406396
Analysis finished2023-12-10 16:31:47.278870
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T01:31:47.381216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-11T01:31:47.594011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

기관명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T01:31:47.903027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11.5
Mean length7.8666667
Min length4

Characters and Unicode

Total characters236
Distinct characters73
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row기장평생학습관
2nd row정관평생학습관
3rd row기장군청
4th row기장도서관
5th row기장디지털도서관
ValueCountFrequency (%)
기장평생학습관 1
 
3.3%
정관평생학습관 1
 
3.3%
고촌어울림도서관 1
 
3.3%
내리새라도서관 1
 
3.3%
대라다목적도서관 1
 
3.3%
정관노인복지관 1
 
3.3%
철마면행정복지센터 1
 
3.3%
정관박물관 1
 
3.3%
정관읍행정복지센터 1
 
3.3%
정관어린이도서관 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T01:31:48.483603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
10.6%
19
 
8.1%
17
 
7.2%
13
 
5.5%
12
 
5.1%
10
 
4.2%
8
 
3.4%
8
 
3.4%
8
 
3.4%
8
 
3.4%
Other values (63) 108
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
99.2%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
10.7%
19
 
8.1%
17
 
7.3%
13
 
5.6%
12
 
5.1%
10
 
4.3%
8
 
3.4%
8
 
3.4%
8
 
3.4%
8
 
3.4%
Other values (61) 106
45.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
99.2%
Common 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
10.7%
19
 
8.1%
17
 
7.3%
13
 
5.6%
12
 
5.1%
10
 
4.3%
8
 
3.4%
8
 
3.4%
8
 
3.4%
8
 
3.4%
Other values (61) 106
45.3%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
99.2%
ASCII 2
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
 
10.7%
19
 
8.1%
17
 
7.3%
13
 
5.6%
12
 
5.1%
10
 
4.3%
8
 
3.4%
8
 
3.4%
8
 
3.4%
8
 
3.4%
Other values (61) 106
45.3%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

주소
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T01:31:48.913652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.933333
Min length19

Characters and Unicode

Total characters688
Distinct characters55
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

Unique24 ?
Unique (%)80.0%

Sample

1st row부산광역시 기장군 기장읍 기장대로 560
2nd row부산광역시 기장군 정관읍 정관중앙로 100
3rd row부산광역시 기장군 기장읍 기장대로 560
4th row부산광역시 기장군 기장읍 차성동로126번길 13-5
5th row부산광역시 기장군 기장읍 기장대로 560 7층
ValueCountFrequency (%)
부산광역시 30
19.7%
기장군 30
19.7%
기장읍 14
 
9.2%
정관읍 9
 
5.9%
기장대로 5
 
3.3%
정관중앙로 5
 
3.3%
560 4
 
2.6%
장안읍 3
 
2.0%
차성로 3
 
2.0%
51 2
 
1.3%
Other values (42) 47
30.9%
2023-12-11T01:31:49.560550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
18.8%
52
 
7.6%
49
 
7.1%
33
 
4.8%
32
 
4.7%
30
 
4.4%
30
 
4.4%
30
 
4.4%
30
 
4.4%
28
 
4.1%
Other values (45) 245
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
65.6%
Space Separator 129
 
18.8%
Decimal Number 100
 
14.5%
Dash Punctuation 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
11.5%
49
10.9%
33
 
7.3%
32
 
7.1%
30
 
6.7%
30
 
6.7%
30
 
6.7%
30
 
6.7%
28
 
6.2%
26
 
5.8%
Other values (34) 111
24.6%
Decimal Number
ValueCountFrequency (%)
1 24
24.0%
0 14
14.0%
6 12
12.0%
5 12
12.0%
2 11
11.0%
3 8
 
8.0%
4 7
 
7.0%
7 7
 
7.0%
8 5
 
5.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
65.6%
Common 237
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
11.5%
49
10.9%
33
 
7.3%
32
 
7.1%
30
 
6.7%
30
 
6.7%
30
 
6.7%
30
 
6.7%
28
 
6.2%
26
 
5.8%
Other values (34) 111
24.6%
Common
ValueCountFrequency (%)
129
54.4%
1 24
 
10.1%
0 14
 
5.9%
6 12
 
5.1%
5 12
 
5.1%
2 11
 
4.6%
3 8
 
3.4%
- 8
 
3.4%
4 7
 
3.0%
7 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
65.6%
ASCII 237
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
54.4%
1 24
 
10.1%
0 14
 
5.9%
6 12
 
5.1%
5 12
 
5.1%
2 11
 
4.6%
3 8
 
3.4%
- 8
 
3.4%
4 7
 
3.0%
7 7
 
3.0%
Hangul
ValueCountFrequency (%)
52
11.5%
49
10.9%
33
 
7.3%
32
 
7.1%
30
 
6.7%
30
 
6.7%
30
 
6.7%
30
 
6.7%
28
 
6.2%
26
 
5.8%
Other values (34) 111
24.6%

연락처
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T01:31:49.892785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.033333
Min length12

Characters and Unicode

Total characters361
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

Unique30 ?
Unique (%)100.0%

Sample

1st row051-709-5067
2nd row051-709-3942
3rd row051-709-4000
4th row051-709-5321
5th row051-709-5071
ValueCountFrequency (%)
051-709-5067 1
 
3.3%
051-709-3942 1
 
3.3%
051-709-5382 1
 
3.3%
051-709-3967 1
 
3.3%
051-709-3963 1
 
3.3%
051-792-4972 1
 
3.3%
051-709-5272 1
 
3.3%
051-720-6952 1
 
3.3%
051-709-5245 1
 
3.3%
051-709-5388 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T01:31:50.477797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
16.6%
- 60
16.6%
5 49
13.6%
7 43
11.9%
1 40
11.1%
9 40
11.1%
2 26
7.2%
4 17
 
4.7%
3 10
 
2.8%
8 10
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
83.4%
Dash Punctuation 60
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
19.9%
5 49
16.3%
7 43
14.3%
1 40
13.3%
9 40
13.3%
2 26
8.6%
4 17
 
5.6%
3 10
 
3.3%
8 10
 
3.3%
6 6
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
16.6%
- 60
16.6%
5 49
13.6%
7 43
11.9%
1 40
11.1%
9 40
11.1%
2 26
7.2%
4 17
 
4.7%
3 10
 
2.8%
8 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
16.6%
- 60
16.6%
5 49
13.6%
7 43
11.9%
1 40
11.1%
9 40
11.1%
2 26
7.2%
4 17
 
4.7%
3 10
 
2.8%
8 10
 
2.8%

Interactions

2023-12-11T01:31:46.935272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:31:50.639333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명주소연락처
연번1.0001.0000.9231.000
기관명1.0001.0001.0001.000
주소0.9231.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-11T01:31:47.101122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:31:47.225937image/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

연번기관명주소연락처
01기장평생학습관부산광역시 기장군 기장읍 기장대로 560051-709-5067
12정관평생학습관부산광역시 기장군 정관읍 정관중앙로 100051-709-3942
23기장군청부산광역시 기장군 기장읍 기장대로 560051-709-4000
34기장도서관부산광역시 기장군 기장읍 차성동로126번길 13-5051-709-5321
45기장디지털도서관부산광역시 기장군 기장읍 기장대로 560 7층051-709-5071
56기장군농업기술센터부산광역시 기장군 기장읍 반송로 1370-22051-709-5491
67기장읍행정복지센터부산광역시 기장군 기장읍 차성동로5번길 10051-709-5112
78기장종합사회복지관부산광역시 기장군 기장읍 차성로 206051-792-4786
89기장군노인복지관부산광역시 기장군 기장읍 대청로22번길 61051-792-4807
910기장건강가정다문화가족지원센터부산광역시 기장군 기장읍 차성로 206051-792-4799
연번기관명주소연락처
2021정관도서관부산광역시 기장군 정관읍 정관중앙로 100051-709-3905
2122정관어린이도서관부산광역시 기장군 정관읍 정관8로 11051-709-5388
2223정관읍행정복지센터부산광역시 기장군 정관읍 용수로 4051-709-5245
2324정관박물관부산광역시 기장군 정관읍 정관중앙로 122051-720-6952
2425철마면행정복지센터부산광역시 기장군 철마면 철마로 485051-709-5272
2526정관노인복지관부산광역시 기장군 정관읍 정관중앙로 86-14051-792-4972
2627대라다목적도서관부산광역시 기장군 기장읍 차성서로 86051-709-3963
2728내리새라도서관부산광역시 기장군 기장읍 기장대로 51051-709-3967
2829고촌어울림도서관부산광역시 기장군 철마면 고촌로 51051-709-5382
2930교리도서관부산광역시 기장군 기장읍 차성로 417번길 11051-709-5375