Overview

Dataset statistics

Number of variables5
Number of observations61
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory43.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description부산광역시남구평생학습기관현황_20210323
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3080342

Alerts

일련번호 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 일련번호High correlation
전화번호 has 1 (1.6%) missing valuesMissing
일련번호 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:09:02.116962
Analysis finished2023-12-10 17:09:02.879595
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T02:09:03.344945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T02:09:03.585211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
다른 법령에 따른 평생교육관련시설
42 
평생교육법에 따라 인가,등록,신고된 시설
19 

Length

Max length22
Median length18
Mean length19.245902
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평생교육법에 따라 인가,등록,신고된 시설
2nd row평생교육법에 따라 인가,등록,신고된 시설
3rd row평생교육법에 따라 인가,등록,신고된 시설
4th row평생교육법에 따라 인가,등록,신고된 시설
5th row평생교육법에 따라 인가,등록,신고된 시설

Common Values

ValueCountFrequency (%)
다른 법령에 따른 평생교육관련시설 42
68.9%
평생교육법에 따라 인가,등록,신고된 시설 19
31.1%

Length

2023-12-11T02:09:03.783639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:09:03.955896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다른 42
17.2%
법령에 42
17.2%
따른 42
17.2%
평생교육관련시설 42
17.2%
평생교육법에 19
7.8%
따라 19
7.8%
인가,등록,신고된 19
7.8%
시설 19
7.8%

기관명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T02:09:04.224267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length12.42623
Min length4

Characters and Unicode

Total characters758
Distinct characters144
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row남부교육지원청
2nd row남구평생학습센터
3rd row부경대학교 평생교육원
4th row동명대학교 평생교육원
5th row경성대학교 평생교육원
ValueCountFrequency (%)
부산광역시 16
 
13.7%
남구 16
 
13.7%
행정복지센터 14
 
12.0%
평생교육원 3
 
2.6%
주민센터 2
 
1.7%
부경대학교 2
 
1.7%
부산광역시남구도서관 1
 
0.9%
부산남구문화원 1
 
0.9%
부산시립박물관 1
 
0.9%
여성회관 1
 
0.9%
Other values (60) 60
51.3%
2023-12-11T02:09:04.733522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
7.4%
터 33
 
4.4%
지 31
 
4.1%
센 30
 
4.0%
부 27
 
3.6%
남 24
 
3.2%
역 24
 
3.2%
산 24
 
3.2%
동 23
 
3.0%
구 23
 
3.0%
Other values (134) 463
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 680
89.7%
Space Separator 56
 
7.4%
Decimal Number 14
 
1.8%
Uppercase Letter 5
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 33
 
4.9%
지 31
 
4.6%
센 30
 
4.4%
부 27
 
4.0%
남 24
 
3.5%
역 24
 
3.5%
산 24
 
3.5%
동 23
 
3.4%
구 23
 
3.4%
복 21
 
3.1%
Other values (119) 420
61.8%
Decimal Number
ValueCountFrequency (%)
1 4
28.6%
3 3
21.4%
2 3
21.4%
4 2
14.3%
6 1
 
7.1%
5 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
L 1
20.0%
G 1
20.0%
C 1
20.0%
E 1
20.0%
P 1
20.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 680
89.7%
Common 73
 
9.6%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 33
 
4.9%
지 31
 
4.6%
센 30
 
4.4%
부 27
 
4.0%
남 24
 
3.5%
역 24
 
3.5%
산 24
 
3.5%
동 23
 
3.4%
구 23
 
3.4%
복 21
 
3.1%
Other values (119) 420
61.8%
Common
ValueCountFrequency (%)
56
76.7%
1 4
 
5.5%
3 3
 
4.1%
2 3
 
4.1%
4 2
 
2.7%
) 1
 
1.4%
( 1
 
1.4%
/ 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
Latin
ValueCountFrequency (%)
L 1
20.0%
G 1
20.0%
C 1
20.0%
E 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 680
89.7%
ASCII 78
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
71.8%
1 4
 
5.1%
3 3
 
3.8%
2 3
 
3.8%
4 2
 
2.6%
) 1
 
1.3%
L 1
 
1.3%
G 1
 
1.3%
( 1
 
1.3%
C 1
 
1.3%
Other values (5) 5
 
6.4%
Hangul
ValueCountFrequency (%)
터 33
 
4.9%
지 31
 
4.6%
센 30
 
4.4%
부 27
 
4.0%
남 24
 
3.5%
역 24
 
3.5%
산 24
 
3.5%
동 23
 
3.4%
구 23
 
3.4%
복 21
 
3.1%
Other values (119) 420
61.8%

주소
Text

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T02:09:05.044048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length30
Mean length23.262295
Min length13

Characters and Unicode

Total characters1419
Distinct characters112
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

Unique56 ?
Unique (%)91.8%

Sample

1st row부산광역시 남구 못골로 29
2nd row부산광역시 남구 못골로 19
3rd row부산광역시 남구 대연3동 부경대학교대연캠퍼스
4th row부산광역시 남구 용당동 동명대학교
5th row부산광역시 남구 대연3동 경성대학교
ValueCountFrequency (%)
부산광역시 61
20.6%
남구 61
20.6%
대연동 10
 
3.4%
수영로 9
 
3.0%
우암로 7
 
2.4%
6
 
2.0%
문현동 5
 
1.7%
용당동 4
 
1.4%
못골로 4
 
1.4%
용호동 4
 
1.4%
Other values (109) 125
42.2%
2023-12-11T02:09:05.561292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
18.0%
부 66
 
4.7%
남 63
 
4.4%
광 61
 
4.3%
역 61
 
4.3%
시 61
 
4.3%
구 61
 
4.3%
산 61
 
4.3%
1 52
 
3.7%
동 52
 
3.7%
Other values (102) 626
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
61.1%
Space Separator 255
 
18.0%
Decimal Number 215
 
15.2%
Open Punctuation 23
 
1.6%
Close Punctuation 23
 
1.6%
Dash Punctuation 20
 
1.4%
Other Punctuation 12
 
0.8%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 66
 
7.6%
남 63
 
7.3%
광 61
 
7.0%
역 61
 
7.0%
시 61
 
7.0%
구 61
 
7.0%
산 61
 
7.0%
동 52
 
6.0%
로 46
 
5.3%
대 25
 
2.9%
Other values (83) 310
35.8%
Decimal Number
ValueCountFrequency (%)
1 52
24.2%
2 26
12.1%
3 25
11.6%
4 24
11.2%
6 19
 
8.8%
9 18
 
8.4%
7 17
 
7.9%
5 15
 
7.0%
0 11
 
5.1%
8 8
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
T 1
25.0%
V 1
25.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 867
61.1%
Common 548
38.6%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 66
 
7.6%
남 63
 
7.3%
광 61
 
7.0%
역 61
 
7.0%
시 61
 
7.0%
구 61
 
7.0%
산 61
 
7.0%
동 52
 
6.0%
로 46
 
5.3%
대 25
 
2.9%
Other values (83) 310
35.8%
Common
ValueCountFrequency (%)
255
46.5%
1 52
 
9.5%
2 26
 
4.7%
3 25
 
4.6%
4 24
 
4.4%
( 23
 
4.2%
) 23
 
4.2%
- 20
 
3.6%
6 19
 
3.5%
9 18
 
3.3%
Other values (5) 63
 
11.5%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
T 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 867
61.1%
ASCII 552
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
46.2%
1 52
 
9.4%
2 26
 
4.7%
3 25
 
4.5%
4 24
 
4.3%
( 23
 
4.2%
) 23
 
4.2%
- 20
 
3.6%
6 19
 
3.4%
9 18
 
3.3%
Other values (9) 67
 
12.1%
Hangul
ValueCountFrequency (%)
부 66
 
7.6%
남 63
 
7.3%
광 61
 
7.0%
역 61
 
7.0%
시 61
 
7.0%
구 61
 
7.0%
산 61
 
7.0%
동 52
 
6.0%
로 46
 
5.3%
대 25
 
2.9%
Other values (83) 310
35.8%

전화번호
Text

MISSING 

Distinct59
Distinct (%)98.3%
Missing1
Missing (%)1.6%
Memory size620.0 B
2023-12-11T02:09:05.842262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters720
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

Unique58 ?
Unique (%)96.7%

Sample

1st row051-640-0314
2nd row051-607-4511
3rd row051-629-6791
4th row051-629-3514
5th row051-663-5311
ValueCountFrequency (%)
051-634-3415 2
 
3.3%
051-622-3244 1
 
1.7%
051-607-4511 1
 
1.7%
051-607-4814 1
 
1.7%
051-607-6602 1
 
1.7%
051-607-6842 1
 
1.7%
051-607-4782 1
 
1.7%
051-624-1333 1
 
1.7%
051-610-7113 1
 
1.7%
051-610-2012 1
 
1.7%
Other values (49) 49
81.7%
2023-12-11T02:09:06.307568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
16.7%
0 110
15.3%
1 108
15.0%
6 93
12.9%
5 84
11.7%
2 50
6.9%
7 43
 
6.0%
4 37
 
5.1%
3 32
 
4.4%
8 23
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
83.3%
Dash Punctuation 120
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
18.3%
1 108
18.0%
6 93
15.5%
5 84
14.0%
2 50
8.3%
7 43
 
7.2%
4 37
 
6.2%
3 32
 
5.3%
8 23
 
3.8%
9 20
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
16.7%
0 110
15.3%
1 108
15.0%
6 93
12.9%
5 84
11.7%
2 50
6.9%
7 43
 
6.0%
4 37
 
5.1%
3 32
 
4.4%
8 23
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
16.7%
0 110
15.3%
1 108
15.0%
6 93
12.9%
5 84
11.7%
2 50
6.9%
7 43
 
6.0%
4 37
 
5.1%
3 32
 
4.4%
8 23
 
3.2%

Interactions

2023-12-11T02:09:02.547458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:09:06.453408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호구분기관명주소전화번호
일련번호1.0000.9981.0000.9030.936
구분0.9981.0001.0001.0001.000
기관명1.0001.0001.0001.0001.000
주소0.9031.0001.0001.0001.000
전화번호0.9361.0001.0001.0001.000
2023-12-11T02:09:06.571431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호구분
일련번호1.0000.930
구분0.9301.000

Missing values

2023-12-11T02:09:02.691564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:09:02.814578image/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

일련번호구분기관명주소전화번호
01평생교육법에 따라 인가,등록,신고된 시설남부교육지원청부산광역시 남구 못골로 29051-640-0314
12평생교육법에 따라 인가,등록,신고된 시설남구평생학습센터부산광역시 남구 못골로 19051-607-4511
23평생교육법에 따라 인가,등록,신고된 시설부경대학교 평생교육원부산광역시 남구 대연3동 부경대학교대연캠퍼스051-629-6791
34평생교육법에 따라 인가,등록,신고된 시설동명대학교 평생교육원부산광역시 남구 용당동 동명대학교051-629-3514
45평생교육법에 따라 인가,등록,신고된 시설경성대학교 평생교육원부산광역시 남구 대연3동 경성대학교051-663-5311
56평생교육법에 따라 인가,등록,신고된 시설부경대학교 산학협력단/문화융합연구소부산광역시 남구 용당동 부경대학교 대연캠퍼스051-629-5200
67평생교육법에 따라 인가,등록,신고된 시설사단법인 기러기문화원부산광역시 남구 지게골로051-642-1515
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