Overview

Dataset statistics

Number of variables7
Number of observations153
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory57.9 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description부산광역시서부교육지원청 관내(사하구, 영도구, 서구, 중구) 유치원·초등학교·중학교의 명부를 제공하는 자료입니다
URLhttps://www.data.go.kr/data/3041379/fileData.do

Alerts

연번 is highly overall correlated with 설립구분High correlation
구분 is highly overall correlated with 설립구분High correlation
설립구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
기관명 has unique valuesUnique
전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:26:39.924144
Analysis finished2023-12-12 13:26:40.527183
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.96732
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T22:26:40.615271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q113
median26
Q342
95-th percentile58.4
Maximum66
Range65
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.541086
Coefficient of variation (CV)0.6271994
Kurtosis-0.92678473
Mean27.96732
Median Absolute Deviation (MAD)14
Skewness0.33100403
Sum4279
Variance307.68971
MonotonicityNot monotonic
2023-12-12T22:26:40.769327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
2.0%
18 3
 
2.0%
2 3
 
2.0%
32 3
 
2.0%
31 3
 
2.0%
30 3
 
2.0%
29 3
 
2.0%
28 3
 
2.0%
27 3
 
2.0%
26 3
 
2.0%
Other values (56) 123
80.4%
ValueCountFrequency (%)
1 3
2.0%
2 3
2.0%
3 3
2.0%
4 3
2.0%
5 3
2.0%
6 3
2.0%
7 3
2.0%
8 3
2.0%
9 3
2.0%
10 3
2.0%
ValueCountFrequency (%)
66 1
0.7%
65 1
0.7%
64 1
0.7%
63 1
0.7%
62 1
0.7%
61 1
0.7%
60 1
0.7%
59 1
0.7%
58 1
0.7%
57 1
0.7%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유치원
66 
초등학교
55 
중학교
32 

Length

Max length4
Median length3
Mean length3.3594771
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유치원 66
43.1%
초등학교 55
35.9%
중학교 32
20.9%

Length

2023-12-12T22:26:40.915481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:26:41.049917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유치원 66
43.1%
초등학교 55
35.9%
중학교 32
20.9%

설립구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
공립
98 
사립
55 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 98
64.1%
사립 55
35.9%

Length

2023-12-12T22:26:41.149957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:26:41.239100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 98
64.1%
사립 55
35.9%

기관명
Text

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:26:41.470452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.8954248
Min length5

Characters and Unicode

Total characters1055
Distinct characters145
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

Unique153 ?
Unique (%)100.0%

Sample

1st row영일유치원
2nd row더푸르네유치원
3rd row지산유치원
4th row감천초등학교병설유치원
5th row광일초등학교병설유치원
ValueCountFrequency (%)
영일유치원 1
 
0.7%
을숙도초등학교 1
 
0.7%
태종대초등학교 1
 
0.7%
신선초등학교 1
 
0.7%
신촌초등학교 1
 
0.7%
신평초등학교 1
 
0.7%
아미초등학교 1
 
0.7%
영도초등학교 1
 
0.7%
옥천초등학교 1
 
0.7%
장림초등학교 1
 
0.7%
Other values (143) 143
93.5%
2023-12-12T22:26:41.842333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 112
 
10.6%
교 109
 
10.3%
초 77
 
7.3%
등 75
 
7.1%
원 73
 
6.9%
유 66
 
6.3%
치 66
 
6.3%
중 37
 
3.5%
병 20
 
1.9%
설 20
 
1.9%
Other values (135) 400
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1041
98.7%
Close Punctuation 7
 
0.7%
Open Punctuation 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 112
 
10.8%
교 109
 
10.5%
초 77
 
7.4%
등 75
 
7.2%
원 73
 
7.0%
유 66
 
6.3%
치 66
 
6.3%
중 37
 
3.6%
병 20
 
1.9%
설 20
 
1.9%
Other values (133) 386
37.1%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1041
98.7%
Common 14
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 112
 
10.8%
교 109
 
10.5%
초 77
 
7.4%
등 75
 
7.2%
원 73
 
7.0%
유 66
 
6.3%
치 66
 
6.3%
중 37
 
3.6%
병 20
 
1.9%
설 20
 
1.9%
Other values (133) 386
37.1%
Common
ValueCountFrequency (%)
) 7
50.0%
( 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1041
98.7%
ASCII 14
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 112
 
10.8%
교 109
 
10.5%
초 77
 
7.4%
등 75
 
7.2%
원 73
 
7.0%
유 66
 
6.3%
치 66
 
6.3%
중 37
 
3.6%
병 20
 
1.9%
설 20
 
1.9%
Other values (133) 386
37.1%
ASCII
ValueCountFrequency (%)
) 7
50.0%
( 7
50.0%

주소
Text

Distinct135
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:26:42.262668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length18.895425
Min length13

Characters and Unicode

Total characters2891
Distinct characters123
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

Unique117 ?
Unique (%)76.5%

Sample

1st row부산광역시 영도구 꿈나무길 41
2nd row부산광역시 사하구 윤공단로 124
3rd row부산광역시 사하구 장평로 117-4
4th row부산광역시 사하구 원양로 368-2
5th row부산광역시 중구 중구로 74
ValueCountFrequency (%)
부산광역시 153
24.8%
사하구 81
 
13.1%
영도구 34
 
5.5%
서구 28
 
4.5%
중구 9
 
1.5%
다대낙조2길 8
 
1.3%
하신번영로 5
 
0.8%
다송로 5
 
0.8%
다대로 5
 
0.8%
태종로 5
 
0.8%
Other values (200) 284
46.0%
2023-12-12T22:26:42.803933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
464
 
16.0%
산 158
 
5.5%
구 157
 
5.4%
부 155
 
5.4%
광 154
 
5.3%
시 154
 
5.3%
역 153
 
5.3%
로 133
 
4.6%
하 96
 
3.3%
2 93
 
3.2%
Other values (113) 1174
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1863
64.4%
Decimal Number 534
 
18.5%
Space Separator 464
 
16.0%
Dash Punctuation 22
 
0.8%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 158
 
8.5%
구 157
 
8.4%
부 155
 
8.3%
광 154
 
8.3%
시 154
 
8.3%
역 153
 
8.2%
로 133
 
7.1%
하 96
 
5.2%
사 87
 
4.7%
길 80
 
4.3%
Other values (99) 536
28.8%
Decimal Number
ValueCountFrequency (%)
2 93
17.4%
1 88
16.5%
3 69
12.9%
5 46
8.6%
4 45
8.4%
6 42
7.9%
8 42
7.9%
0 39
7.3%
7 35
 
6.6%
9 35
 
6.6%
Space Separator
ValueCountFrequency (%)
464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1863
64.4%
Common 1028
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 158
 
8.5%
구 157
 
8.4%
부 155
 
8.3%
광 154
 
8.3%
시 154
 
8.3%
역 153
 
8.2%
로 133
 
7.1%
하 96
 
5.2%
사 87
 
4.7%
길 80
 
4.3%
Other values (99) 536
28.8%
Common
ValueCountFrequency (%)
464
45.1%
2 93
 
9.0%
1 88
 
8.6%
3 69
 
6.7%
5 46
 
4.5%
4 45
 
4.4%
6 42
 
4.1%
8 42
 
4.1%
0 39
 
3.8%
7 35
 
3.4%
Other values (4) 65
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1863
64.4%
ASCII 1028
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
464
45.1%
2 93
 
9.0%
1 88
 
8.6%
3 69
 
6.7%
5 46
 
4.5%
4 45
 
4.4%
6 42
 
4.1%
8 42
 
4.1%
0 39
 
3.8%
7 35
 
3.4%
Other values (4) 65
 
6.3%
Hangul
ValueCountFrequency (%)
산 158
 
8.5%
구 157
 
8.4%
부 155
 
8.3%
광 154
 
8.3%
시 154
 
8.3%
역 153
 
8.2%
로 133
 
7.1%
하 96
 
5.2%
사 87
 
4.7%
길 80
 
4.3%
Other values (99) 536
28.8%

전화
Text

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:26:43.141304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1836
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

Unique153 ?
Unique (%)100.0%

Sample

1st row051-415-0679
2nd row051-791-1113
3rd row051-710-2791
4th row051-201-1107
5th row051-603-5180
ValueCountFrequency (%)
051-415-0679 1
 
0.7%
051-200-2800 1
 
0.7%
051-400-2100 1
 
0.7%
051-719-1301 1
 
0.7%
051-220-3700 1
 
0.7%
051-200-5000 1
 
0.7%
051-240-6001 1
 
0.7%
051-604-0100 1
 
0.7%
051-200-0600 1
 
0.7%
051-290-2700 1
 
0.7%
Other values (143) 143
93.5%
2023-12-12T22:26:43.607620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 443
24.1%
- 306
16.7%
1 259
14.1%
5 245
13.3%
2 162
 
8.8%
6 91
 
5.0%
4 90
 
4.9%
3 70
 
3.8%
9 64
 
3.5%
7 63
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1530
83.3%
Dash Punctuation 306
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 443
29.0%
1 259
16.9%
5 245
16.0%
2 162
 
10.6%
6 91
 
5.9%
4 90
 
5.9%
3 70
 
4.6%
9 64
 
4.2%
7 63
 
4.1%
8 43
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1836
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 443
24.1%
- 306
16.7%
1 259
14.1%
5 245
13.3%
2 162
 
8.8%
6 91
 
5.0%
4 90
 
4.9%
3 70
 
3.8%
9 64
 
3.5%
7 63
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 443
24.1%
- 306
16.7%
1 259
14.1%
5 245
13.3%
2 162
 
8.8%
6 91
 
5.0%
4 90
 
4.9%
3 70
 
3.8%
9 64
 
3.5%
7 63
 
3.4%

홈페이지
Text

Distinct144
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:26:43.860152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length28.333333
Min length8

Characters and Unicode

Total characters4335
Distinct characters39
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)93.5%

Sample

1st rowhttp://www.ylschool.or.kr
2nd rowhttps://school.busanedu.net/thegreen-k/main.do
3rd rowhttps://school.busanedu.net/jisan-k/main.do
4th rowhttps://school.busanedu.net/gam-k/main.do
5th rowhttps://school.busanedu.net/gwangil-k/main.do
ValueCountFrequency (%)
홈페이지 10
 
6.1%
미운영 10
 
6.1%
http://www.songdo.ms.kr 1
 
0.6%
http://www.eungbong.es.kr 1
 
0.6%
http://www.hadan.es.kr 1
 
0.6%
http://www.jeolyeong.es.kr 1
 
0.6%
http://www.hwarang.es.kr 1
 
0.6%
http://www.yeongdo.es.kr 1
 
0.6%
http://www.okchun.es.kr 1
 
0.6%
http://www.eulsukdo.es.kr 1
 
0.6%
Other values (135) 135
82.8%
2023-12-12T22:26:44.305499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 399
 
9.2%
/ 365
 
8.4%
t 357
 
8.2%
s 269
 
6.2%
w 263
 
6.1%
n 263
 
6.1%
h 234
 
5.4%
e 230
 
5.3%
o 227
 
5.2%
a 198
 
4.6%
Other values (29) 1530
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3283
75.7%
Other Punctuation 907
 
20.9%
Other Letter 70
 
1.6%
Dash Punctuation 58
 
1.3%
Space Separator 10
 
0.2%
Uppercase Letter 7
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 357
 
10.9%
s 269
 
8.2%
w 263
 
8.0%
n 263
 
8.0%
h 234
 
7.1%
e 230
 
7.0%
o 227
 
6.9%
a 198
 
6.0%
k 163
 
5.0%
p 154
 
4.7%
Other values (12) 925
28.2%
Other Letter
ValueCountFrequency (%)
홈 10
14.3%
페 10
14.3%
영 10
14.3%
운 10
14.3%
미 10
14.3%
지 10
14.3%
이 10
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
42.9%
C 1
 
14.3%
B 1
 
14.3%
H 1
 
14.3%
F 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 399
44.0%
/ 365
40.2%
: 143
 
15.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3290
75.9%
Common 975
 
22.5%
Hangul 70
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 357
 
10.9%
s 269
 
8.2%
w 263
 
8.0%
n 263
 
8.0%
h 234
 
7.1%
e 230
 
7.0%
o 227
 
6.9%
a 198
 
6.0%
k 163
 
5.0%
p 154
 
4.7%
Other values (17) 932
28.3%
Hangul
ValueCountFrequency (%)
홈 10
14.3%
페 10
14.3%
영 10
14.3%
운 10
14.3%
미 10
14.3%
지 10
14.3%
이 10
14.3%
Common
ValueCountFrequency (%)
. 399
40.9%
/ 365
37.4%
: 143
 
14.7%
- 58
 
5.9%
10
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4265
98.4%
Hangul 70
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 399
 
9.4%
/ 365
 
8.6%
t 357
 
8.4%
s 269
 
6.3%
w 263
 
6.2%
n 263
 
6.2%
h 234
 
5.5%
e 230
 
5.4%
o 227
 
5.3%
a 198
 
4.6%
Other values (22) 1460
34.2%
Hangul
ValueCountFrequency (%)
홈 10
14.3%
페 10
14.3%
영 10
14.3%
운 10
14.3%
미 10
14.3%
지 10
14.3%
이 10
14.3%

Interactions

2023-12-12T22:26:40.216576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:26:44.410836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분설립구분
연번1.0000.3530.824
구분0.3531.0000.352
설립구분0.8240.3521.000
2023-12-12T22:26:44.526369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분설립구분
구분1.0000.560
설립구분0.5601.000
2023-12-12T22:26:44.624824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분설립구분
연번1.0000.2210.635
구분0.2211.0000.560
설립구분0.6350.5601.000

Missing values

2023-12-12T22:26:40.330970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:26:40.469438image/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

연번구분설립구분기관명주소전화홈페이지
01유치원공립영일유치원부산광역시 영도구 꿈나무길 41051-415-0679http://www.ylschool.or.kr
12유치원공립더푸르네유치원부산광역시 사하구 윤공단로 124051-791-1113https://school.busanedu.net/thegreen-k/main.do
23유치원공립지산유치원부산광역시 사하구 장평로 117-4051-710-2791https://school.busanedu.net/jisan-k/main.do
34유치원공립감천초등학교병설유치원부산광역시 사하구 원양로 368-2051-201-1107https://school.busanedu.net/gam-k/main.do
45유치원공립광일초등학교병설유치원부산광역시 중구 중구로 74051-603-5180https://school.busanedu.net/gwangil-k/main.do
56유치원공립남부민초등학교병설유치원부산광역시 서구 천마로 153051-240-0190https://school.busanedu.net/nambumin-k/main.do
67유치원공립다선초등학교병설유치원부산광역시 사하구 다송로 57051-260-1580https://school.busanedu.net/dasun-k/main.do
78유치원공립다송초등학교병설유치원부산광역시 사하구 다대로381번길 17051-260-5893https://school.busanedu.net/dasong-k/main.do
89유치원공립동신초등학교병설유치원부산광역시 서구 대영로85번길 81-19051-240-0790https://school.busanedu.net/dongsin-k/main.do
910유치원공립몰운대초등학교병설유치원부산광역시 사하구 다대낙조2길 110051-290-3370http://school.busanedu.net/morundae-k/main.do
연번구분설립구분기관명주소전화홈페이지
14323중학교사립건국중학교부산광역시 사하구 승학로17번길 76-8051-291-0067http://www.keonkuk.ms.kr
14424중학교사립남도여자중학교부산광역시 영도구 남도여중길 130051-413-1619http://www.namdo.ms.kr
14525중학교사립대동중학교부산광역시 사하구 을숙도대로709번길 27051-292-5122http://www.dd.ms.kr
14626중학교사립대신여자중학교부산광역시 서구 보동길 268051-248-1812http://www.daesin-g.ms.kr
14727중학교사립덕원중학교부산광역시 중구 망양로 356051-790-8100http://www.deogweon.ms.kr
14828중학교사립동주여자중학교부산광역시 사하구 사리로8번길 28051-207-3964http://www.dong-ju.ms.kr
14929중학교사립삼성중학교부산광역시 사하구 감천로43번길 45-2051-960-0501http://www.samsung.ms.kr
15030중학교사립송도중학교부산광역시 서구 해양로 15051-248-3723http://www.songdo.ms.kr
15131중학교사립영남중학교부산광역시 사하구 다대로277번길 100051-265-4331http://www.yn.ms.kr
15232중학교사립해동중학교부산광역시 영도구 절영로490번길 8-22051-400-2300http://www.haedong.ms.kr