Overview

Dataset statistics

Number of variables9
Number of observations29
Missing cells19
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory78.6 B

Variable types

Numeric2
Categorical1
Text4
DateTime1
Boolean1

Dataset

Description부산광역시해운대구_대규모점포등록현황_20220321
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15077764

Alerts

연번 is highly overall correlated with 매장면적(제곱미터) and 2 other fieldsHigh correlation
매장면적(제곱미터) is highly overall correlated with 연번High correlation
구분 is highly overall correlated with 연번High correlation
전통상업보존구역해당여부 is highly overall correlated with 연번High correlation
비고 has 19 (65.5%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
매장면적(제곱미터) has unique valuesUnique
연락처 has unique valuesUnique
허가일(인가-사업개시 등) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:30:33.037340
Analysis finished2023-12-10 16:30:34.446431
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T01:30:34.537621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-11T01:30:34.779562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
준대규모점포
15 
그밖의 대규모점포
5 
대형마트
4 
백화점
3 
쇼핑센터
2 

Length

Max length9
Median length6
Mean length5.7931034
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대형마트
2nd row대형마트
3rd row대형마트
4th row대형마트
5th row백화점

Common Values

ValueCountFrequency (%)
준대규모점포 15
51.7%
그밖의 대규모점포 5
 
17.2%
대형마트 4
 
13.8%
백화점 3
 
10.3%
쇼핑센터 2
 
6.9%

Length

2023-12-11T01:30:35.020678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:30:35.203579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준대규모점포 15
44.1%
그밖의 5
 
14.7%
대규모점포 5
 
14.7%
대형마트 4
 
11.8%
백화점 3
 
8.8%
쇼핑센터 2
 
5.9%

시설명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T01:30:35.519622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.8965517
Min length5

Characters and Unicode

Total characters258
Distinct characters83
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowE-마트 해운대점
2nd row홈플러스센텀시티점
3rd row홈플러스해운대점
4th row홈플러스부산반여점
5th row롯데백화점
ValueCountFrequency (%)
e-마트 1
 
2.9%
홈플러스익스프레스좌동점 1
 
2.9%
롯데슈퍼좌동점 1
 
2.9%
롯데market999 1
 
2.9%
마린시티점 1
 
2.9%
gs리테일대동점 1
 
2.9%
gs리테일원동점 1
 
2.9%
gs슈퍼해운대센텀점 1
 
2.9%
홈플러스익스프레스동부점 1
 
2.9%
해운대점 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T01:30:36.099082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 23
 
8.9%
스 20
 
7.8%
플 8
 
3.1%
러 8
 
3.1%
마 8
 
3.1%
운 8
 
3.1%
대 8
 
3.1%
홈 8
 
3.1%
해 7
 
2.7%
데 6
 
2.3%
Other values (73) 154
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
88.8%
Uppercase Letter 13
 
5.0%
Space Separator 5
 
1.9%
Lowercase Letter 5
 
1.9%
Decimal Number 4
 
1.6%
Other Symbol 1
 
0.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 23
 
10.0%
스 20
 
8.7%
플 8
 
3.5%
러 8
 
3.5%
마 8
 
3.5%
운 8
 
3.5%
대 8
 
3.5%
홈 8
 
3.5%
해 7
 
3.1%
데 6
 
2.6%
Other values (57) 125
54.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
38.5%
G 4
30.8%
M 1
 
7.7%
E 1
 
7.7%
N 1
 
7.7%
C 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
a 1
20.0%
k 1
20.0%
e 1
20.0%
t 1
20.0%
Decimal Number
ValueCountFrequency (%)
9 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 230
89.1%
Latin 18
 
7.0%
Common 10
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 23
 
10.0%
스 20
 
8.7%
플 8
 
3.5%
러 8
 
3.5%
마 8
 
3.5%
운 8
 
3.5%
대 8
 
3.5%
홈 8
 
3.5%
해 7
 
3.0%
데 6
 
2.6%
Other values (58) 126
54.8%
Latin
ValueCountFrequency (%)
S 5
27.8%
G 4
22.2%
r 1
 
5.6%
M 1
 
5.6%
a 1
 
5.6%
k 1
 
5.6%
e 1
 
5.6%
t 1
 
5.6%
E 1
 
5.6%
N 1
 
5.6%
Common
ValueCountFrequency (%)
5
50.0%
9 3
30.0%
2 1
 
10.0%
- 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
88.8%
ASCII 28
 
10.9%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 23
 
10.0%
스 20
 
8.7%
플 8
 
3.5%
러 8
 
3.5%
마 8
 
3.5%
운 8
 
3.5%
대 8
 
3.5%
홈 8
 
3.5%
해 7
 
3.1%
데 6
 
2.6%
Other values (57) 125
54.6%
ASCII
ValueCountFrequency (%)
5
17.9%
S 5
17.9%
G 4
14.3%
9 3
10.7%
r 1
 
3.6%
M 1
 
3.6%
a 1
 
3.6%
k 1
 
3.6%
e 1
 
3.6%
t 1
 
3.6%
Other values (5) 5
17.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T01:30:36.418210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length24.310345
Min length17

Characters and Unicode

Total characters705
Distinct characters71
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row부산광역시 해운대구 좌동순환로 511(중동)
2nd row부산광역시 해운대구 센텀동로 6
3rd row부산광역시 해운대구 해운대해변로 140(우동)
4th row부산광역시 해운대구 선수촌로21번길 37(반여동)
5th row부산광역시 해운대구 센텀남대로 59(우동)
ValueCountFrequency (%)
부산광역시 29
23.4%
해운대구 14
 
11.3%
좌동순환로 6
 
4.8%
좌동 4
 
3.2%
세실로 3
 
2.4%
해운대로 2
 
1.6%
145 2
 
1.6%
센텀중앙로 2
 
1.6%
반여동 2
 
1.6%
1층 2
 
1.6%
Other values (53) 58
46.8%
2023-12-11T01:30:37.002933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
13.5%
동 41
 
5.8%
시 32
 
4.5%
부 30
 
4.3%
광 29
 
4.1%
역 29
 
4.1%
산 29
 
4.1%
) 28
 
4.0%
로 28
 
4.0%
( 28
 
4.0%
Other values (61) 336
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
62.7%
Decimal Number 99
 
14.0%
Space Separator 95
 
13.5%
Close Punctuation 28
 
4.0%
Open Punctuation 28
 
4.0%
Other Punctuation 12
 
1.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
9.3%
시 32
 
7.2%
부 30
 
6.8%
광 29
 
6.6%
역 29
 
6.6%
산 29
 
6.6%
로 28
 
6.3%
대 23
 
5.2%
해 20
 
4.5%
운 19
 
4.3%
Other values (46) 162
36.7%
Decimal Number
ValueCountFrequency (%)
1 25
25.3%
3 17
17.2%
7 10
 
10.1%
2 9
 
9.1%
0 9
 
9.1%
5 8
 
8.1%
4 6
 
6.1%
9 6
 
6.1%
8 6
 
6.1%
6 3
 
3.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
62.7%
Common 263
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
9.3%
시 32
 
7.2%
부 30
 
6.8%
광 29
 
6.6%
역 29
 
6.6%
산 29
 
6.6%
로 28
 
6.3%
대 23
 
5.2%
해 20
 
4.5%
운 19
 
4.3%
Other values (46) 162
36.7%
Common
ValueCountFrequency (%)
95
36.1%
) 28
 
10.6%
( 28
 
10.6%
1 25
 
9.5%
3 17
 
6.5%
, 12
 
4.6%
7 10
 
3.8%
2 9
 
3.4%
0 9
 
3.4%
5 8
 
3.0%
Other values (5) 22
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
62.7%
ASCII 263
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
36.1%
) 28
 
10.6%
( 28
 
10.6%
1 25
 
9.5%
3 17
 
6.5%
, 12
 
4.6%
7 10
 
3.8%
2 9
 
3.4%
0 9
 
3.4%
5 8
 
3.0%
Other values (5) 22
 
8.4%
Hangul
ValueCountFrequency (%)
동 41
 
9.3%
시 32
 
7.2%
부 30
 
6.8%
광 29
 
6.6%
역 29
 
6.6%
산 29
 
6.6%
로 28
 
6.3%
대 23
 
5.2%
해 20
 
4.5%
운 19
 
4.3%
Other values (46) 162
36.7%

매장면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13227.483
Minimum180
Maximum139892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T01:30:37.187732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile194.8
Q1360
median1954
Q316491
95-th percentile40069.2
Maximum139892
Range139712
Interquartile range (IQR)16131

Descriptive statistics

Standard deviation27150.739
Coefficient of variation (CV)2.0526006
Kurtosis17.749563
Mean13227.483
Median Absolute Deviation (MAD)1764
Skewness3.923216
Sum383597
Variance7.3716263 × 108
MonotonicityNot monotonic
2023-12-11T01:30:37.392954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
11193 1
 
3.4%
17827 1
 
3.4%
311 1
 
3.4%
1954 1
 
3.4%
1524 1
 
3.4%
1498 1
 
3.4%
393 1
 
3.4%
209 1
 
3.4%
202 1
 
3.4%
212 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
180 1
3.4%
190 1
3.4%
202 1
3.4%
209 1
3.4%
212 1
3.4%
253 1
3.4%
311 1
3.4%
360 1
3.4%
393 1
3.4%
541 1
3.4%
ValueCountFrequency (%)
139892 1
3.4%
44290 1
3.4%
33738 1
3.4%
30009 1
3.4%
28555 1
3.4%
17827 1
3.4%
17471 1
3.4%
16491 1
3.4%
11992 1
3.4%
11193 1
3.4%

연락처
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T01:30:37.662010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.896552
Min length9

Characters and Unicode

Total characters345
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

Unique29 ?
Unique (%)100.0%

Sample

1st row051-608-1052
2nd row051-709-8123
3rd row051-532-2080
4th row051-509-8124
5th row051-730-2220
ValueCountFrequency (%)
051-608-1052 1
 
3.4%
051-741-5602 1
 
3.4%
051-545-3219 1
 
3.4%
051-525-0422 1
 
3.4%
051-704-9009 1
 
3.4%
051-746-8547 1
 
3.4%
051-702-8540 1
 
3.4%
051-701-8545 1
 
3.4%
051-701-8520 1
 
3.4%
051-747-8364 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T01:30:38.174474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 64
18.6%
- 57
16.5%
1 51
14.8%
5 48
13.9%
7 31
9.0%
2 24
 
7.0%
4 24
 
7.0%
8 15
 
4.3%
3 13
 
3.8%
9 10
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
83.5%
Dash Punctuation 57
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
22.2%
1 51
17.7%
5 48
16.7%
7 31
10.8%
2 24
 
8.3%
4 24
 
8.3%
8 15
 
5.2%
3 13
 
4.5%
9 10
 
3.5%
6 8
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 345
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 64
18.6%
- 57
16.5%
1 51
14.8%
5 48
13.9%
7 31
9.0%
2 24
 
7.0%
4 24
 
7.0%
8 15
 
4.3%
3 13
 
3.8%
9 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 345
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 64
18.6%
- 57
16.5%
1 51
14.8%
5 48
13.9%
7 31
9.0%
2 24
 
7.0%
4 24
 
7.0%
8 15
 
4.3%
3 13
 
3.8%
9 10
 
2.9%

허가일(인가-사업개시 등)
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1990-12-20 00:00:00
Maximum2021-02-25 00:00:00
2023-12-11T01:30:38.348804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:38.510349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

전통상업보존구역해당여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size161.0 B
True
21 
False
8 
ValueCountFrequency (%)
True 21
72.4%
False 8
 
27.6%
2023-12-11T01:30:38.657600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고
Text

MISSING 

Distinct6
Distinct (%)60.0%
Missing19
Missing (%)65.5%
Memory size364.0 B
2023-12-11T01:30:38.846442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length11.6
Min length8

Characters and Unicode

Total characters116
Distinct characters33
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

Unique5 ?
Unique (%)50.0%

Sample

1st row상상노리(어린이놀이시설)
2nd row상상놀이(어린이놀이시설)
3rd row티오비오(어린이놀이시설) 주라기 파크
4th row키즈정글인(어린이놀이시설)
5th row헬로우키티타운(어린이놀이시설)
ValueCountFrequency (%)
특정관리대상시설 5
41.7%
상상노리(어린이놀이시설 1
 
8.3%
상상놀이(어린이놀이시설 1
 
8.3%
티오비오(어린이놀이시설 1
 
8.3%
주라기 1
 
8.3%
파크 1
 
8.3%
키즈정글인(어린이놀이시설 1
 
8.3%
헬로우키티타운(어린이놀이시설 1
 
8.3%
2023-12-11T01:30:39.178654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 11
 
9.5%
시 10
 
8.6%
설 10
 
8.6%
상 9
 
7.8%
정 6
 
5.2%
리 6
 
5.2%
놀 6
 
5.2%
특 5
 
4.3%
관 5
 
4.3%
대 5
 
4.3%
Other values (23) 43
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
89.7%
Open Punctuation 5
 
4.3%
Close Punctuation 5
 
4.3%
Space Separator 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
10.6%
시 10
 
9.6%
설 10
 
9.6%
상 9
 
8.7%
정 6
 
5.8%
리 6
 
5.8%
놀 6
 
5.8%
특 5
 
4.8%
관 5
 
4.8%
대 5
 
4.8%
Other values (20) 31
29.8%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
89.7%
Common 12
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
10.6%
시 10
 
9.6%
설 10
 
9.6%
상 9
 
8.7%
정 6
 
5.8%
리 6
 
5.8%
놀 6
 
5.8%
특 5
 
4.8%
관 5
 
4.8%
대 5
 
4.8%
Other values (20) 31
29.8%
Common
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
89.7%
ASCII 12
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 11
 
10.6%
시 10
 
9.6%
설 10
 
9.6%
상 9
 
8.7%
정 6
 
5.8%
리 6
 
5.8%
놀 6
 
5.8%
특 5
 
4.8%
관 5
 
4.8%
대 5
 
4.8%
Other values (20) 31
29.8%
ASCII
ValueCountFrequency (%)
( 5
41.7%
) 5
41.7%
2
 
16.7%

Interactions

2023-12-11T01:30:33.831262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:33.555214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:33.984274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:30:33.678045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:30:39.276221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설명소재지매장면적(제곱미터)연락처허가일(인가-사업개시 등)전통상업보존구역해당여부비고
연번1.0000.9821.0000.8840.0001.0001.0000.7750.000
구분0.9821.0001.0001.0000.8251.0001.0000.3750.814
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지0.8841.0001.0001.0001.0001.0001.0001.0001.000
매장면적(제곱미터)0.0000.8251.0001.0001.0001.0001.0000.1111.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
허가일(인가-사업개시 등)1.0001.0001.0001.0001.0001.0001.0001.0001.000
전통상업보존구역해당여부0.7750.3751.0001.0000.1111.0001.0001.0000.000
비고0.0000.8141.0001.0001.0001.0001.0000.0001.000
2023-12-11T01:30:39.662138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전통상업보존구역해당여부구분
전통상업보존구역해당여부1.0000.426
구분0.4261.000
2023-12-11T01:30:39.738852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번매장면적(제곱미터)구분전통상업보존구역해당여부
연번1.000-0.7400.6810.506
매장면적(제곱미터)-0.7401.0000.4550.048
구분0.6810.4551.0000.426
전통상업보존구역해당여부0.5060.0480.4261.000

Missing values

2023-12-11T01:30:34.160727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:30:34.362738image/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

연번구분시설명소재지매장면적(제곱미터)연락처허가일(인가-사업개시 등)전통상업보존구역해당여부비고
01대형마트E-마트 해운대점부산광역시 해운대구 좌동순환로 511(중동)11193051-608-10522000-03-08Y<NA>
12대형마트홈플러스센텀시티점부산광역시 해운대구 센텀동로 617827051-709-81232002-04-12Y상상노리(어린이놀이시설)
23대형마트홈플러스해운대점부산광역시 해운대구 해운대해변로 140(우동)44290051-532-20802006-10-31N상상놀이(어린이놀이시설)
34대형마트홈플러스부산반여점부산광역시 해운대구 선수촌로21번길 37(반여동)10277051-509-81242012-03-16Y<NA>
45백화점롯데백화점부산광역시 해운대구 센텀남대로 59(우동)33738051-730-22202007-10-31Y<NA>
56백화점신세계백화점부산광역시 해운대구 센텀남대로 35(우동)1398921588-12342009-02-28Y티오비오(어린이놀이시설) 주라기 파크
67백화점NC백화점부산광역시 해운대구 해운대로 813(좌동)30009051-709-56072006-01-23Y키즈정글인(어린이놀이시설)
78쇼핑센터㈜세이버존리베라부산광역시 해운대구 구남로 29번길 21(중동)16491051-740-90001994-04-26Y헬로우키티타운(어린이놀이시설)
89쇼핑센터화목데파트부산광역시 해운대구 세실로 64(좌동)4159051-702-37031999-03-02Y<NA>
910그밖의 대규모점포신세계SSG마린시티점부산광역시 해운대구 마린시티2로 38(우동)3088051-792-71002011-12-22N<NA>
연번구분시설명소재지매장면적(제곱미터)연락처허가일(인가-사업개시 등)전통상업보존구역해당여부비고
1920준대규모점포GS슈퍼해운대센텀점부산광역시 센텀중앙로 145, 제상가5동 201,203(재송동,센텀파크1차)360051-744-58012010-04-16Y<NA>
2021준대규모점포홈플러스익스프레스좌동점부산광역시 좌동순환로 78, 1층 (좌동,건우빌딩)190051-747-83642006-11-27Y<NA>
2122준대규모점포홈플러스익스프레스동부점부산광역시 세실로 158, 상가동 103호 (좌동,동부아파트)212051-701-85202008-02-21Y<NA>
2223준대규모점포홈플러스익스프레스좌동2점부산광역시 세실로 33, 1층 (좌동)202051-701-85452009-02-02Y<NA>
2324준대규모점포홈플러스익스프레스부산좌산점부산광역시 좌동순환로 303 (좌동)209051-702-85402010-11-03Y<NA>
2425준대규모점포홈플러스익스프레스부산센텀점부산광역시 센텀중앙로 145, 제상가7동 101호 (재송동,센텀파크1차)393051-746-85472010-09-15Y<NA>
2526준대규모점포탑마트해운대점부산광역시 좌동로 38 (중동)1498051-704-90092008-06-20Y특정관리대상시설
2627준대규모점포탑마트반여점부산광역시 선수촌로 119 (반여동)1524051-525-04221998-11-27N<NA>
2728준대규모점포탑마트반송점부산광역시 윗반송로 8 (반송동)1954051-545-32192004-09-16Y<NA>
2829준대규모점포메가마트마리나점부산광역시 해운대해변로 117 (우동,대우마리나1차)311051-741-82561990-12-20N특정관리대상시설