Overview

Dataset statistics

Number of variables12
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory101.6 B

Variable types

Categorical3
Text5
Numeric3
DateTime1

Dataset

Description부산광역시동래구_학교현황_20220924
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15102253

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호High correlation
학교명 has unique valuesUnique
상세주소(도로명주소) has unique valuesUnique
대표 전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique
홈페이지주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:54:10.113186
Analysis finished2023-12-10 16:54:12.753349
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
부산광역시
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 51
100.0%

Length

2023-12-11T01:54:12.929977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:13.070625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 51
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
동래구
51 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동래구 51
100.0%

Length

2023-12-11T01:54:13.215133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:13.359957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동래구 51
100.0%

학교명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:54:13.669088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.1764706
Min length5

Characters and Unicode

Total characters315
Distinct characters54
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

Unique51 ?
Unique (%)100.0%

Sample

1st row교동초등학교
2nd row금강초등학교
3rd row낙민초등학교
4th row내산초등학교
5th row내성초등학교
ValueCountFrequency (%)
교동초등학교 1
 
2.0%
동신중학교 1
 
2.0%
사직중학교 1
 
2.0%
사직여자중학교 1
 
2.0%
안락중학교 1
 
2.0%
여명중학교 1
 
2.0%
온천중학교 1
 
2.0%
유락여자중학교 1
 
2.0%
충렬중학교 1
 
2.0%
학산여자중학교 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:54:14.553009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 53
16.8%
교 52
16.5%
등 36
11.4%
초 23
 
7.3%
중 15
 
4.8%
고 14
 
4.4%
여 11
 
3.5%
자 10
 
3.2%
동 8
 
2.5%
안 6
 
1.9%
Other values (44) 87
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 53
16.8%
교 52
16.5%
등 36
11.4%
초 23
 
7.3%
중 15
 
4.8%
고 14
 
4.4%
여 11
 
3.5%
자 10
 
3.2%
동 8
 
2.5%
안 6
 
1.9%
Other values (44) 87
27.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 53
16.8%
교 52
16.5%
등 36
11.4%
초 23
 
7.3%
중 15
 
4.8%
고 14
 
4.4%
여 11
 
3.5%
자 10
 
3.2%
동 8
 
2.5%
안 6
 
1.9%
Other values (44) 87
27.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 53
16.8%
교 52
16.5%
등 36
11.4%
초 23
 
7.3%
중 15
 
4.8%
고 14
 
4.4%
여 11
 
3.5%
자 10
 
3.2%
동 8
 
2.5%
안 6
 
1.9%
Other values (44) 87
27.6%

구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
공립
41 
사립
10 

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 41
80.4%
사립 10
 
19.6%

Length

2023-12-11T01:54:14.796718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:14.936492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 41
80.4%
사립 10
 
19.6%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47801.863
Minimum47707
Maximum47905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T01:54:15.126425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47707
5-th percentile47716
Q147753
median47776
Q347869
95-th percentile47904
Maximum47905
Range198
Interquartile range (IQR)116

Descriptive statistics

Standard deviation61.565581
Coefficient of variation (CV)0.0012879327
Kurtosis-1.3296996
Mean47801.863
Median Absolute Deviation (MAD)43
Skewness0.28497466
Sum2437895
Variance3790.3208
MonotonicityNot monotonic
2023-12-11T01:54:15.385403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
47750 4
 
7.8%
47756 3
 
5.9%
47873 3
 
5.9%
47769 3
 
5.9%
47905 3
 
5.9%
47707 3
 
5.9%
47767 2
 
3.9%
47776 2
 
3.9%
47872 2
 
3.9%
47869 2
 
3.9%
Other values (23) 24
47.1%
ValueCountFrequency (%)
47707 3
5.9%
47725 1
 
2.0%
47732 1
 
2.0%
47735 2
3.9%
47748 1
 
2.0%
47749 1
 
2.0%
47750 4
7.8%
47756 3
5.9%
47757 1
 
2.0%
47758 1
 
2.0%
ValueCountFrequency (%)
47905 3
5.9%
47903 1
 
2.0%
47894 1
 
2.0%
47878 1
 
2.0%
47873 3
5.9%
47872 2
3.9%
47871 1
 
2.0%
47869 2
3.9%
47863 1
 
2.0%
47852 1
 
2.0%

상세주소(도로명주소)
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:54:15.809010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length24.784314
Min length21

Characters and Unicode

Total characters1264
Distinct characters56
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

Unique51 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 시실로 73-13(명륜동)
2nd row부산광역시 동래구 사직북로28번길 125(온천동)
3rd row부산광역시 동래구 충렬대로272번길 34(낙민동)
4th row부산광역시 동래구 중앙대로1335번길 38
5th row부산광역시 동래구 동래로 173(온천동)
ValueCountFrequency (%)
부산광역시 51
24.4%
동래구 51
24.4%
쇠미로 3
 
1.4%
시실로 3
 
1.4%
온천천로 3
 
1.4%
충렬사로51번길 2
 
1.0%
51(온천동 2
 
1.0%
명장로 2
 
1.0%
사직로 2
 
1.0%
금강로 2
 
1.0%
Other values (85) 88
42.1%
2023-12-11T01:54:16.589857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
12.7%
동 103
 
8.1%
시 55
 
4.4%
래 53
 
4.2%
산 52
 
4.1%
부 51
 
4.0%
광 51
 
4.0%
역 51
 
4.0%
구 51
 
4.0%
로 51
 
4.0%
Other values (46) 585
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
63.0%
Decimal Number 202
 
16.0%
Space Separator 161
 
12.7%
Close Punctuation 50
 
4.0%
Open Punctuation 50
 
4.0%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 103
12.9%
시 55
 
6.9%
래 53
 
6.7%
산 52
 
6.5%
부 51
 
6.4%
광 51
 
6.4%
역 51
 
6.4%
구 51
 
6.4%
로 51
 
6.4%
길 33
 
4.1%
Other values (32) 245
30.8%
Decimal Number
ValueCountFrequency (%)
1 48
23.8%
2 30
14.9%
3 27
13.4%
5 24
11.9%
9 16
 
7.9%
6 15
 
7.4%
7 13
 
6.4%
8 10
 
5.0%
4 10
 
5.0%
0 9
 
4.5%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
63.0%
Common 468
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 103
12.9%
시 55
 
6.9%
래 53
 
6.7%
산 52
 
6.5%
부 51
 
6.4%
광 51
 
6.4%
역 51
 
6.4%
구 51
 
6.4%
로 51
 
6.4%
길 33
 
4.1%
Other values (32) 245
30.8%
Common
ValueCountFrequency (%)
161
34.4%
) 50
 
10.7%
( 50
 
10.7%
1 48
 
10.3%
2 30
 
6.4%
3 27
 
5.8%
5 24
 
5.1%
9 16
 
3.4%
6 15
 
3.2%
7 13
 
2.8%
Other values (4) 34
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
63.0%
ASCII 468
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
34.4%
) 50
 
10.7%
( 50
 
10.7%
1 48
 
10.3%
2 30
 
6.4%
3 27
 
5.8%
5 24
 
5.1%
9 16
 
3.4%
6 15
 
3.2%
7 13
 
2.8%
Other values (4) 34
 
7.3%
Hangul
ValueCountFrequency (%)
동 103
12.9%
시 55
 
6.9%
래 53
 
6.7%
산 52
 
6.5%
부 51
 
6.4%
광 51
 
6.4%
역 51
 
6.4%
구 51
 
6.4%
로 51
 
6.4%
길 33
 
4.1%
Other values (32) 245
30.8%

대표 전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:54:17.150592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row051-620-0104
2nd row051-590-0600
3rd row051-712-5200
4th row051-792-0404
5th row051-550-8600
ValueCountFrequency (%)
051-620-0104 1
 
2.0%
051-540-2500 1
 
2.0%
051-501-2561 1
 
2.0%
051-590-0800 1
 
2.0%
051-790-0700 1
 
2.0%
051-500-8700 1
 
2.0%
051-500-1700 1
 
2.0%
051-950-8400 1
 
2.0%
051-520-3300 1
 
2.0%
051-790-8900 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:54:17.935027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 174
28.4%
5 114
18.6%
- 102
16.7%
1 74
12.1%
7 26
 
4.2%
4 25
 
4.1%
6 22
 
3.6%
2 21
 
3.4%
9 21
 
3.4%
8 17
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 174
34.1%
5 114
22.4%
1 74
14.5%
7 26
 
5.1%
4 25
 
4.9%
6 22
 
4.3%
2 21
 
4.1%
9 21
 
4.1%
8 17
 
3.3%
3 16
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 174
28.4%
5 114
18.6%
- 102
16.7%
1 74
12.1%
7 26
 
4.2%
4 25
 
4.1%
6 22
 
3.6%
2 21
 
3.4%
9 21
 
3.4%
8 17
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 174
28.4%
5 114
18.6%
- 102
16.7%
1 74
12.1%
7 26
 
4.2%
4 25
 
4.1%
6 22
 
3.6%
2 21
 
3.4%
9 21
 
3.4%
8 17
 
2.8%

팩스번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:54:18.405271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.019608
Min length12

Characters and Unicode

Total characters613
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

Unique51 ?
Unique (%)100.0%

Sample

1st row051-620-0170
2nd row051-505-9874
3rd row051-553-9896
4th row051-792-0498
5th row051-550-8607
ValueCountFrequency (%)
051-620-0170 1
 
2.0%
051-540-2580 1
 
2.0%
051-505-3395 1
 
2.0%
051-501-9712 1
 
2.0%
051-790-0780 1
 
2.0%
051-500-8770 1
 
2.0%
051-500-1750 1
 
2.0%
051-950-8479 1
 
2.0%
051-523-8565 1
 
2.0%
051-790-8966 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:54:19.095556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 120
19.6%
0 112
18.3%
- 102
16.6%
1 71
11.6%
9 37
 
6.0%
7 33
 
5.4%
2 31
 
5.1%
6 28
 
4.6%
8 28
 
4.6%
3 27
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 511
83.4%
Dash Punctuation 102
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 120
23.5%
0 112
21.9%
1 71
13.9%
9 37
 
7.2%
7 33
 
6.5%
2 31
 
6.1%
6 28
 
5.5%
8 28
 
5.5%
3 27
 
5.3%
4 24
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 613
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 120
19.6%
0 112
18.3%
- 102
16.6%
1 71
11.6%
9 37
 
6.0%
7 33
 
5.4%
2 31
 
5.1%
6 28
 
4.6%
8 28
 
4.6%
3 27
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 120
19.6%
0 112
18.3%
- 102
16.6%
1 71
11.6%
9 37
 
6.0%
7 33
 
5.4%
2 31
 
5.1%
6 28
 
4.6%
8 28
 
4.6%
3 27
 
4.4%

홈페이지주소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:54:19.589472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length36.235294
Min length32

Characters and Unicode

Total characters1848
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st rowhttps://school.busanedu.net/kd-e
2nd rowhttps://school.busanedu.net/geumgang-e
3rd rowhttps://school.busanedu.net/nakmin-e
4th rowhttps://school.busanedu.net/naesan-e
5th rowhttps://school.busanedu.net/naesung-e
ValueCountFrequency (%)
https://school.busanedu.net/kd-e 1
 
2.0%
https://school.busanedu.net/dongshin-m 1
 
2.0%
https://school.busanedu.net/sajik-m 1
 
2.0%
https://school.busanedu.net/sajik-g-m 1
 
2.0%
https://school.busanedu.net/anrak-m 1
 
2.0%
https://school.busanedu.net/yomng-m 1
 
2.0%
https://school.busanedu.net/onchun-m 1
 
2.0%
https://school.busanedu.net/yurak-m 1
 
2.0%
https://school.busanedu.net/choongryul-m 1
 
2.0%
https://school.busanedu.net/h-s-m 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:54:20.662890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 174
 
9.4%
n 154
 
8.3%
/ 153
 
8.3%
t 153
 
8.3%
e 145
 
7.8%
h 129
 
7.0%
o 123
 
6.7%
u 118
 
6.4%
. 102
 
5.5%
a 90
 
4.9%
Other values (15) 507
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1486
80.4%
Other Punctuation 306
 
16.6%
Dash Punctuation 56
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 174
11.7%
n 154
10.4%
t 153
10.3%
e 145
9.8%
h 129
8.7%
o 123
8.3%
u 118
7.9%
a 90
 
6.1%
d 60
 
4.0%
c 56
 
3.8%
Other values (11) 284
19.1%
Other Punctuation
ValueCountFrequency (%)
/ 153
50.0%
. 102
33.3%
: 51
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1486
80.4%
Common 362
 
19.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 174
11.7%
n 154
10.4%
t 153
10.3%
e 145
9.8%
h 129
8.7%
o 123
8.3%
u 118
7.9%
a 90
 
6.1%
d 60
 
4.0%
c 56
 
3.8%
Other values (11) 284
19.1%
Common
ValueCountFrequency (%)
/ 153
42.3%
. 102
28.2%
- 56
 
15.5%
: 51
 
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 174
 
9.4%
n 154
 
8.3%
/ 153
 
8.3%
t 153
 
8.3%
e 145
 
7.8%
h 129
 
7.0%
o 123
 
6.7%
u 118
 
6.4%
. 102
 
5.5%
a 90
 
4.9%
Other values (15) 507
27.4%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.204118
Minimum35.191636
Maximum35.216987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T01:54:21.008898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.191636
5-th percentile35.193636
Q135.199922
median35.203683
Q335.20808
95-th percentile35.215204
Maximum35.216987
Range0.02535144
Interquartile range (IQR)0.008158185

Descriptive statistics

Standard deviation0.0066565705
Coefficient of variation (CV)0.000189085
Kurtosis-0.63259196
Mean35.204118
Median Absolute Deviation (MAD)0.0043305
Skewness0.047255322
Sum1795.41
Variance4.4309931 × 10-5
MonotonicityNot monotonic
2023-12-11T01:54:21.284110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.21546164 1
 
2.0%
35.20313763 1
 
2.0%
35.19911119 1
 
2.0%
35.1942729 1
 
2.0%
35.19163583 1
 
2.0%
35.195845 1
 
2.0%
35.20457367 1
 
2.0%
35.21494709 1
 
2.0%
35.20295603 1
 
2.0%
35.20475321 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
35.19163583 1
2.0%
35.19170389 1
2.0%
35.19311948 1
2.0%
35.19415211 1
2.0%
35.1942729 1
2.0%
35.19464166 1
2.0%
35.19571495 1
2.0%
35.195845 1
2.0%
35.19683947 1
2.0%
35.19791187 1
2.0%
ValueCountFrequency (%)
35.21698727 1
2.0%
35.21560581 1
2.0%
35.21546164 1
2.0%
35.21494709 1
2.0%
35.21465573 1
2.0%
35.2145081 1
2.0%
35.21264601 1
2.0%
35.21209907 1
2.0%
35.21204765 1
2.0%
35.21015918 1
2.0%

경도
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08525
Minimum129.051
Maximum129.1133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T01:54:21.594222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.051
5-th percentile129.05281
Q1129.07154
median129.08893
Q3129.0999
95-th percentile129.11159
Maximum129.1133
Range0.062293
Interquartile range (IQR)0.02836405

Descriptive statistics

Standard deviation0.019407238
Coefficient of variation (CV)0.00015034435
Kurtosis-1.1450773
Mean129.08525
Median Absolute Deviation (MAD)0.0158678
Skewness-0.27025783
Sum6583.3478
Variance0.00037664089
MonotonicityNot monotonic
2023-12-11T01:54:21.846965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0921786 1
 
2.0%
129.0641083 1
 
2.0%
129.0514271 1
 
2.0%
129.0553177 1
 
2.0%
129.109263 1
 
2.0%
129.0702831 1
 
2.0%
129.0596793 1
 
2.0%
129.0761797 1
 
2.0%
129.1084068 1
 
2.0%
129.0961642 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
129.0510022 1
2.0%
129.0514271 1
2.0%
129.0514527 1
2.0%
129.0541734 1
2.0%
129.0553177 1
2.0%
129.055977 1
2.0%
129.0574008 1
2.0%
129.0596793 1
2.0%
129.0599957 1
2.0%
129.0641083 1
2.0%
ValueCountFrequency (%)
129.1132952 1
2.0%
129.1116997 1
2.0%
129.1116221 1
2.0%
129.1115613 1
2.0%
129.1108896 1
2.0%
129.1095695 1
2.0%
129.109263 1
2.0%
129.1084068 1
2.0%
129.1077377 1
2.0%
129.1070767 1
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2022-07-01 00:00:00
Maximum2022-07-01 00:00:00
2023-12-11T01:54:22.061157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:22.233264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:54:11.836962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:10.774126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:11.340135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:12.002727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:10.968930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:11.527695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:12.147820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:11.149234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:54:11.674626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:54:22.389393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교명구분우편번호상세주소(도로명주소)대표 전화번호팩스번호홈페이지주소위도경도
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.000
구분1.0001.0000.0001.0001.0001.0001.0000.3650.314
우편번호1.0000.0001.0001.0001.0001.0001.0000.8280.918
상세주소(도로명주소)1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.3650.8281.0001.0001.0001.0001.0000.454
경도1.0000.3140.9181.0001.0001.0001.0000.4541.000
2023-12-11T01:54:22.607259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도구분
우편번호1.000-0.880-0.1310.123
위도-0.8801.0000.0070.250
경도-0.1310.0071.0000.213
구분0.1230.2500.2131.000

Missing values

2023-12-11T01:54:12.398671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:12.655349image/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

시도명시군구명학교명구분우편번호상세주소(도로명주소)대표 전화번호팩스번호홈페이지주소위도경도데이터기준일자
0부산광역시동래구교동초등학교공립47756부산광역시 동래구 시실로 73-13(명륜동)051-620-0104051-620-0170https://school.busanedu.net/kd-e35.215462129.0921792022-07-01
1부산광역시동래구금강초등학교공립47852부산광역시 동래구 사직북로28번길 125(온천동)051-590-0600051-505-9874https://school.busanedu.net/geumgang-e35.203138129.0641082022-07-01
2부산광역시동래구낙민초등학교공립47878부산광역시 동래구 충렬대로272번길 34(낙민동)051-712-5200051-553-9896https://school.busanedu.net/nakmin-e35.199425129.088342022-07-01
3부산광역시동래구내산초등학교공립47732부산광역시 동래구 중앙대로1335번길 38051-792-0404051-792-0498https://school.busanedu.net/naesan-e35.207353129.0766392022-07-01
4부산광역시동래구내성초등학교공립47804부산광역시 동래구 동래로 173(온천동)051-550-8600051-550-8607https://school.busanedu.net/naesung-e35.204612129.0897932022-07-01
5부산광역시동래구달북초등학교공립47869부산광역시 동래구 쇠미로 131(온천동)051-790-0500051-502-6980https://school.busanedu.net/dalbuk-e35.20357129.0599962022-07-01
6부산광역시동래구명동초등학교공립47767부산광역시 동래구 명장로63번길 60-5(명장동)051-550-5700051-527-8120https://school.busanedu.net/mdong-e35.207591129.1062192022-07-01
7부산광역시동래구명륜초등학교공립47748부산광역시 동래구 동래로 91(명륜동)051-713-6800051-713-6819https://school.busanedu.net/myeongryun-e35.208013129.0834792022-07-01
8부산광역시동래구명서초등학교공립47760부산광역시 동래구 명서로 121(명장동)051-524-7837051-526-4767https://school.busanedu.net/myongseo-e35.212048129.1008752022-07-01
9부산광역시동래구명장초등학교공립47749부산광역시 동래구 복천로 121(명장동)051-529-0644051-529-0647https://school.busanedu.net/myungjang-e35.208193129.0965622022-07-01
시도명시군구명학교명구분우편번호상세주소(도로명주소)대표 전화번호팩스번호홈페이지주소위도경도데이터기준일자
41부산광역시동래구용인고등학교사립47757부산광역시 동래구 시실로107번길 37(명장동)051-525-0029051-531-5528https://school.busanedu.net/psyongin-h35.214508129.0949562022-07-01
42부산광역시동래구충렬고등학교공립47776부산광역시 동래구 명장로 106번길 26(명장동)051-510-0400051-531-4708https://school.busanedu.net/pscr-h35.202855129.1095692022-07-01
43부산광역시동래구대명여자고등학교사립47758부산광역시 동래구 시실로 135(명장동)051-526-3451051-527-2150https://school.busanedu.net/daemyung-h35.212099129.0962082022-07-01
44부산광역시동래구사직여자고등학교사립47873부산광역시 동래구 쇠미로 27번길 21(사직동)051-792-3800051-792-3808https://school.busanedu.net/sajik-g-h35.196839129.0514532022-07-01
45부산광역시동래구중앙여자고등학교공립47735부산광역시 동래구 온천천로 131(명륜동)051-555-0370051-554-0539https://school.busanedu.net/busan-jag-h35.208148129.079562022-07-01
46부산광역시동래구학산여자고등학교사립47750부산광역시 동래구 충렬사로 51번길 62(명장동)051-525-1114051-524-2679https://school.busanedu.net/hsgh-h35.20646129.0967692022-07-01
47부산광역시동래구혜화여자고등학교사립47769부산광역시 동래구 명장로 99번길 23(명장동)051-528-1740051-528-5456https://school.busanedu.net/hye-hwa-h35.203152129.1115612022-07-01
48부산광역시동래구동래원예고등학교공립47707부산광역시 동래구 금강로 43(온천동)051-550-3700051-553-4630https://school.busanedu.net/wonyea-h35.214656129.0754952022-07-01
49부산광역시동래구부산전자공업고등학교공립47707부산광역시 동래구 금강로59번길 51(온천동)051-606-0200051-553-8224https://school.busanedu.net/kumgang-h35.215606129.0730582022-07-01
50부산광역시동래구부산맹학교공립47750부산광역시 동래구 충렬사로67번길 56(명장동)051-524-1046051-529-3392https://school.busanedu.net/busanmaeng-s35.206863129.097062022-07-01