Overview

Dataset statistics

Number of variables9
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory77.0 B

Variable types

Numeric1
Categorical2
Text6

Dataset

Description부산광역시 연제구 소재 학교명, 국.공립 구분, 소재지, 전화번호(교장실, 교무실, 행정실, 팩스번호) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15022249/fileData.do

Alerts

연번 is highly overall correlated with 구 분High correlation
구 분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 구 분High correlation
연번 has unique valuesUnique
학교명 has unique valuesUnique
교장실 전화번호 has unique valuesUnique
교무실 전화번호 has unique valuesUnique
행정실 전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:21:38.354398
Analysis finished2023-12-12 17:21:39.004258
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T02:21:39.062970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-13T02:21:39.176359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

구 분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
초등학교
16 
중학교
8 
고등학교
4 
대학교
3 
특수학교
2 

Length

Max length4
Median length4
Mean length3.6666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 16
48.5%
중학교 8
24.2%
고등학교 4
 
12.1%
대학교 3
 
9.1%
특수학교 2
 
6.1%

Length

2023-12-13T02:21:39.528111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:21:39.632540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 16
48.5%
중학교 8
24.2%
고등학교 4
 
12.1%
대학교 3
 
9.1%
특수학교 2
 
6.1%

학교명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:21:39.847251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.1515152
Min length5

Characters and Unicode

Total characters203
Distinct characters45
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

Unique33 ?
Unique (%)100.0%

Sample

1st row거학초등학교
2nd row교대부설초등
3rd row남문초등학교
4th row창신초등학교
5th row거제초등학교
ValueCountFrequency (%)
거학초등학교 1
 
3.0%
거제여자중학교 1
 
3.0%
부산경상대학교 1
 
3.0%
부산교육대학교 1
 
3.0%
부산두레학교 1
 
3.0%
부산동암학교 1
 
3.0%
연제고등학교 1
 
3.0%
계성여자고등학교 1
 
3.0%
부산외국어고등학교 1
 
3.0%
이사벨고등학교 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T02:21:40.205657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 34
16.7%
학 33
16.3%
등 20
 
9.9%
초 16
 
7.9%
연 13
 
6.4%
중 8
 
3.9%
산 7
 
3.4%
부 6
 
3.0%
제 5
 
2.5%
거 4
 
2.0%
Other values (35) 57
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 34
16.7%
학 33
16.3%
등 20
 
9.9%
초 16
 
7.9%
연 13
 
6.4%
중 8
 
3.9%
산 7
 
3.4%
부 6
 
3.0%
제 5
 
2.5%
거 4
 
2.0%
Other values (35) 57
28.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 34
16.7%
학 33
16.3%
등 20
 
9.9%
초 16
 
7.9%
연 13
 
6.4%
중 8
 
3.9%
산 7
 
3.4%
부 6
 
3.0%
제 5
 
2.5%
거 4
 
2.0%
Other values (35) 57
28.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 34
16.7%
학 33
16.3%
등 20
 
9.9%
초 16
 
7.9%
연 13
 
6.4%
중 8
 
3.9%
산 7
 
3.4%
부 6
 
3.0%
제 5
 
2.5%
거 4
 
2.0%
Other values (35) 57
28.1%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
공립
22 
사립
7 
국립
 
2
법인
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 22
66.7%
사립 7
 
21.2%
국립 2
 
6.1%
법인 2
 
6.1%

Length

2023-12-13T02:21:40.344364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:21:40.450780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 22
66.7%
사립 7
 
21.2%
국립 2
 
6.1%
법인 2
 
6.1%

소재지
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:21:40.650804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length24.939394
Min length21

Characters and Unicode

Total characters823
Distinct characters59
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

Unique31 ?
Unique (%)93.9%

Sample

1st row부산광역시 연제구 교대로 24번길 36(거제1동)
2nd row부산광역시 연제구 교대로 24(거제1동)
3rd row부산광역시 연제구 법원북로 23(거제1동)
4th row부산광역시 연제구 종합운동장로 12번길 15(거제2동)
5th row부산광역시 연제구 해맞이로 39(거제4동)
ValueCountFrequency (%)
부산광역시 33
23.1%
연제구 33
23.1%
고분로 6
 
4.2%
중앙대로 3
 
2.1%
교대로 3
 
2.1%
해맞이로 3
 
2.1%
109번길 2
 
1.4%
1197(거제동 2
 
1.4%
토현로 2
 
1.4%
톳고개로 2
 
1.4%
Other values (52) 54
37.8%
2023-12-13T02:21:41.002790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
13.4%
산 55
 
6.7%
연 55
 
6.7%
제 45
 
5.5%
동 34
 
4.1%
로 33
 
4.0%
) 33
 
4.0%
( 33
 
4.0%
부 33
 
4.0%
광 33
 
4.0%
Other values (49) 359
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 514
62.5%
Decimal Number 132
 
16.0%
Space Separator 110
 
13.4%
Close Punctuation 33
 
4.0%
Open Punctuation 33
 
4.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 55
10.7%
연 55
10.7%
제 45
 
8.8%
동 34
 
6.6%
로 33
 
6.4%
부 33
 
6.4%
광 33
 
6.4%
구 33
 
6.4%
시 33
 
6.4%
역 33
 
6.4%
Other values (35) 127
24.7%
Decimal Number
ValueCountFrequency (%)
1 30
22.7%
4 21
15.9%
3 15
11.4%
2 14
10.6%
6 12
 
9.1%
0 9
 
6.8%
7 9
 
6.8%
9 9
 
6.8%
8 7
 
5.3%
5 6
 
4.5%
Space Separator
ValueCountFrequency (%)
110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 514
62.5%
Common 309
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 55
10.7%
연 55
10.7%
제 45
 
8.8%
동 34
 
6.6%
로 33
 
6.4%
부 33
 
6.4%
광 33
 
6.4%
구 33
 
6.4%
시 33
 
6.4%
역 33
 
6.4%
Other values (35) 127
24.7%
Common
ValueCountFrequency (%)
110
35.6%
) 33
 
10.7%
( 33
 
10.7%
1 30
 
9.7%
4 21
 
6.8%
3 15
 
4.9%
2 14
 
4.5%
6 12
 
3.9%
0 9
 
2.9%
7 9
 
2.9%
Other values (4) 23
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 514
62.5%
ASCII 309
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
35.6%
) 33
 
10.7%
( 33
 
10.7%
1 30
 
9.7%
4 21
 
6.8%
3 15
 
4.9%
2 14
 
4.5%
6 12
 
3.9%
0 9
 
2.9%
7 9
 
2.9%
Other values (4) 23
 
7.4%
Hangul
ValueCountFrequency (%)
산 55
10.7%
연 55
10.7%
제 45
 
8.8%
동 34
 
6.6%
로 33
 
6.4%
부 33
 
6.4%
광 33
 
6.4%
구 33
 
6.4%
시 33
 
6.4%
역 33
 
6.4%
Other values (35) 127
24.7%

교장실 전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:21:41.218222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique33 ?
Unique (%)100.0%

Sample

1st row051-503-8020
2nd row051-500-7380
3rd row051-507-0522
4th row051-506-0391
5th row051-506-0373
ValueCountFrequency (%)
051-503-8020 1
 
3.0%
051-503-5584 1
 
3.0%
051-850-1011 1
 
3.0%
051-500-7100 1
 
3.0%
051-868-6126 1
 
3.0%
051-758-1713 1
 
3.0%
051-850-2800 1
 
3.0%
051-504-0640 1
 
3.0%
051-867-6285 1
 
3.0%
051-590-2151 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T02:21:41.673867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
22.7%
- 66
16.6%
5 65
16.4%
1 60
15.1%
8 24
 
6.0%
7 23
 
5.8%
6 20
 
5.0%
3 18
 
4.5%
2 12
 
3.0%
9 10
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
27.2%
5 65
19.6%
1 60
18.1%
8 24
 
7.3%
7 23
 
6.9%
6 20
 
6.0%
3 18
 
5.4%
2 12
 
3.6%
9 10
 
3.0%
4 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
22.7%
- 66
16.6%
5 65
16.4%
1 60
15.1%
8 24
 
6.0%
7 23
 
5.8%
6 20
 
5.0%
3 18
 
4.5%
2 12
 
3.0%
9 10
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
22.7%
- 66
16.6%
5 65
16.4%
1 60
15.1%
8 24
 
6.0%
7 23
 
5.8%
6 20
 
5.0%
3 18
 
4.5%
2 12
 
3.0%
9 10
 
2.5%

교무실 전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:21:41.926236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique33 ?
Unique (%)100.0%

Sample

1st row051-502-8876
2nd row051-500-7381
3rd row051-550-0500
4th row051-506-0393
5th row051-506-0371
ValueCountFrequency (%)
051-502-8876 1
 
3.0%
051-503-8171 1
 
3.0%
051-850-1031 1
 
3.0%
051-500-7121 1
 
3.0%
051-868-6118 1
 
3.0%
051-758-1711 1
 
3.0%
051-850-2700 1
 
3.0%
051-503-8870 1
 
3.0%
051-867-5093 1
 
3.0%
051-590-2150 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T02:21:42.322629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
22.7%
- 66
16.6%
5 61
15.4%
1 61
15.4%
7 27
 
6.8%
8 26
 
6.5%
6 16
 
4.0%
3 16
 
4.0%
2 15
 
3.8%
9 10
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
27.2%
5 61
18.4%
1 61
18.4%
7 27
 
8.2%
8 26
 
7.9%
6 16
 
4.8%
3 16
 
4.8%
2 15
 
4.5%
9 10
 
3.0%
4 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
22.7%
- 66
16.6%
5 61
15.4%
1 61
15.4%
7 27
 
6.8%
8 26
 
6.5%
6 16
 
4.0%
3 16
 
4.0%
2 15
 
3.8%
9 10
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
22.7%
- 66
16.6%
5 61
15.4%
1 61
15.4%
7 27
 
6.8%
8 26
 
6.5%
6 16
 
4.0%
3 16
 
4.0%
2 15
 
3.8%
9 10
 
2.5%

행정실 전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:21:42.565051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique33 ?
Unique (%)100.0%

Sample

1st row051-502-4249
2nd row051-500-7383
3rd row051-507-0523
4th row051-506-0395
5th row051-506-0375
ValueCountFrequency (%)
051-502-4249 1
 
3.0%
051-503-8170 1
 
3.0%
051-850-1021 1
 
3.0%
051-500-7141 1
 
3.0%
051-868-6776 1
 
3.0%
051-758-1714 1
 
3.0%
051-864-4807 1
 
3.0%
051-503-4894 1
 
3.0%
051-867-5034 1
 
3.0%
051-590-2100 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T02:21:42.979946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
19.6%
- 66
16.6%
5 65
16.4%
1 56
14.1%
7 27
 
6.8%
8 27
 
6.8%
6 21
 
5.3%
3 19
 
4.8%
4 16
 
4.0%
9 13
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
23.6%
5 65
19.6%
1 56
16.9%
7 27
 
8.2%
8 27
 
8.2%
6 21
 
6.3%
3 19
 
5.7%
4 16
 
4.8%
9 13
 
3.9%
2 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
19.6%
- 66
16.6%
5 65
16.4%
1 56
14.1%
7 27
 
6.8%
8 27
 
6.8%
6 21
 
5.3%
3 19
 
4.8%
4 16
 
4.0%
9 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
19.6%
- 66
16.6%
5 65
16.4%
1 56
14.1%
7 27
 
6.8%
8 27
 
6.8%
6 21
 
5.3%
3 19
 
4.8%
4 16
 
4.0%
9 13
 
3.3%

팩스번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:21:43.246049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique33 ?
Unique (%)100.0%

Sample

1st row051-503-8031
2nd row051-505-9121
3rd row051-507-0525
4th row051-506-0392
5th row051-505-1265
ValueCountFrequency (%)
051-503-8031 1
 
3.0%
051-501-5080 1
 
3.0%
051-862-7577 1
 
3.0%
051-505-4908 1
 
3.0%
051-867-0957 1
 
3.0%
051-758-1716 1
 
3.0%
051-864-4808 1
 
3.0%
051-506-1782 1
 
3.0%
051-867-5094 1
 
3.0%
051-590-2106 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T02:21:43.661182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 71
17.9%
- 66
16.7%
0 64
16.2%
1 48
12.1%
8 30
7.6%
6 27
 
6.8%
7 23
 
5.8%
3 19
 
4.8%
9 18
 
4.5%
2 16
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 71
21.5%
0 64
19.4%
1 48
14.5%
8 30
9.1%
6 27
 
8.2%
7 23
 
7.0%
3 19
 
5.8%
9 18
 
5.5%
2 16
 
4.8%
4 14
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 71
17.9%
- 66
16.7%
0 64
16.2%
1 48
12.1%
8 30
7.6%
6 27
 
6.8%
7 23
 
5.8%
3 19
 
4.8%
9 18
 
4.5%
2 16
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 71
17.9%
- 66
16.7%
0 64
16.2%
1 48
12.1%
8 30
7.6%
6 27
 
6.8%
7 23
 
5.8%
3 19
 
4.8%
9 18
 
4.5%
2 16
 
4.0%

Interactions

2023-12-13T02:21:38.697181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:21:43.768005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구 분학교명구분소재지교장실 전화번호교무실 전화번호행정실 전화번호팩스번호
연번1.0000.9611.0000.3590.9321.0001.0001.0001.000
구 분0.9611.0001.0000.7490.7521.0001.0001.0001.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.000
구분0.3590.7491.0001.0001.0001.0001.0001.0001.000
소재지0.9320.7521.0001.0001.0001.0001.0001.0001.000
교장실 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
교무실 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
행정실 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T02:21:43.933697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분구 분
구분1.0000.681
구 분0.6811.000
2023-12-13T02:21:44.043283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구 분구분
연번1.0000.6230.034
구 분0.6231.0000.681
구분0.0340.6811.000

Missing values

2023-12-13T02:21:38.817147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:21:38.950652image/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

연번구 분학교명구분소재지교장실 전화번호교무실 전화번호행정실 전화번호팩스번호
01초등학교거학초등학교공립부산광역시 연제구 교대로 24번길 36(거제1동)051-503-8020051-502-8876051-502-4249051-503-8031
12초등학교교대부설초등국립부산광역시 연제구 교대로 24(거제1동)051-500-7380051-500-7381051-500-7383051-505-9121
23초등학교남문초등학교공립부산광역시 연제구 법원북로 23(거제1동)051-507-0522051-550-0500051-507-0523051-507-0525
34초등학교창신초등학교공립부산광역시 연제구 종합운동장로 12번길 15(거제2동)051-506-0391051-506-0393051-506-0395051-506-0392
45초등학교거제초등학교공립부산광역시 연제구 해맞이로 39(거제4동)051-506-0373051-506-0371051-506-0375051-505-1265
56초등학교연서초등학교공립부산광역시 연제구 거제천로 270번길 30(연산1동)051-790-5401051-790-5402051-790-5405051-864-5464
67초등학교연동초등학교공립부산광역시 연제구 고분로 56번길 40(연산4동)051-853-7202051-853-7172051-853-7171051-853-2701
78초등학교연신초등학교공립부산광역시 연제구 신금로23번길 30(연산1동)051-790-6704051-790-6700051-790-6705051-790-6767
89초등학교연산초등학교공립부산광역시 연제구 월드컵대로 41(연산2동)051-850-1999051-850-1901051-850-1905051-867-8503
910초등학교연미초등학교공립부산광역시 연제구 금련로 38번길 84(연산6동)051-860-8301051-860-8302051-860-8310051-863-7839
연번구 분학교명구분소재지교장실 전화번호교무실 전화번호행정실 전화번호팩스번호
2324중학교연천중학교공립부산광역시 연제구 톳고개로 16(연산동)070-4330-0300070-4330-0310070-4330-0354051-758-6440
2425고등학교이사벨고등학교사립부산광역시 연제구 중앙대로 1197(거제동)051-590-2151051-590-2150051-590-2100051-590-2106
2526고등학교부산외국어고등학교사립부산광역시 연제구 고분로 144(연산동)051-867-6285051-867-5093051-867-5034051-867-5094
2627고등학교계성여자고등학교사립부산광역시 연제구 해맞이로 109번길 47(거제동)051-504-0640051-503-8870051-503-4894051-506-1782
2728고등학교연제고등학교공립부산광역시 연제구 쌍미천로30번길 31(연산동)051-850-2800051-850-2700051-864-4807051-864-4808
2829특수학교부산동암학교법인부산광역시 연제구 톳고개로 48(연산동)051-758-1713051-758-1711051-758-1714051-758-1716
2930특수학교부산두레학교법인부산광역시 연제구 고분로 123번길 13-7(연산동)051-868-6126051-868-6118051-868-6776051-867-0957
3031대학교부산교육대학교국립부산광역시 연제구 교대로 24(거제동)051-500-7100051-500-7121051-500-7141051-505-4908
3132대학교부산경상대학교사립부산광역시 연제구 고분로 170(연산동)051-850-1011051-850-1031051-850-1021051-862-7577
3233대학교화신사이버대학교사립부산광역시 연제구 고분로191번길 1(연산동)051-850-1411051-850-1420051-850-1450051-850-1499