Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory72.1 B

Variable types

Numeric3
Categorical1
Text4

Dataset

Description부산광역시 동래구에 소재한 석유판매업 현황에 대한 데이터로 구분, 상호명, 전화번호, 도로명주소, 지번주소, 위도, 경도 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/15025851/fileData.do

Alerts

지번주소 has 1 (3.8%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
전화번호 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:08:52.616520
Analysis finished2023-12-12 23:08:53.726610
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T08:08:53.780893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-13T08:08:53.890900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
주유소
18 
일반판매소
8 

Length

Max length5
Median length3
Mean length3.6153846
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주유소
2nd row일반판매소
3rd row주유소
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 18
69.2%
일반판매소 8
30.8%

Length

2023-12-13T08:08:54.012117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:08:54.106622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 18
69.2%
일반판매소 8
30.8%

상호명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T08:08:54.309549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.4615385
Min length4

Characters and Unicode

Total characters194
Distinct characters59
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row(유)에스티 부산지점 안락교차로주유소
2nd row경동석유
3rd row광신석유㈜ 충렬대로주유소
4th row교대주유소
5th row대경주유소
ValueCountFrequency (%)
지에스칼텍스(주 2
 
5.9%
유)에스티 1
 
2.9%
온천주유소 1
 
2.9%
한흥석유 1
 
2.9%
한창주유소 1
 
2.9%
한양셀프주유소 1
 
2.9%
한양석유 1
 
2.9%
충렬주유소 1
 
2.9%
태양주유소 1
 
2.9%
명장주유소 1
 
2.9%
Other values (23) 23
67.6%
2023-12-13T08:08:54.703523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 29
 
14.9%
주 19
 
9.8%
소 17
 
8.8%
석 10
 
5.2%
대 8
 
4.1%
8
 
4.1%
에 6
 
3.1%
스 6
 
3.1%
지 6
 
3.1%
㈜ 5
 
2.6%
Other values (49) 80
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
89.2%
Space Separator 8
 
4.1%
Other Symbol 5
 
2.6%
Open Punctuation 3
 
1.5%
Close Punctuation 3
 
1.5%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 29
16.8%
주 19
 
11.0%
소 17
 
9.8%
석 10
 
5.8%
대 8
 
4.6%
에 6
 
3.5%
스 6
 
3.5%
지 6
 
3.5%
한 4
 
2.3%
동 4
 
2.3%
Other values (43) 64
37.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
91.8%
Common 14
 
7.2%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 29
16.3%
주 19
 
10.7%
소 17
 
9.6%
석 10
 
5.6%
대 8
 
4.5%
에 6
 
3.4%
스 6
 
3.4%
지 6
 
3.4%
㈜ 5
 
2.8%
한 4
 
2.2%
Other values (44) 68
38.2%
Common
ValueCountFrequency (%)
8
57.1%
( 3
 
21.4%
) 3
 
21.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
89.2%
ASCII 16
 
8.2%
None 5
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 29
16.8%
주 19
 
11.0%
소 17
 
9.8%
석 10
 
5.8%
대 8
 
4.6%
에 6
 
3.5%
스 6
 
3.5%
지 6
 
3.5%
한 4
 
2.3%
동 4
 
2.3%
Other values (43) 64
37.0%
ASCII
ValueCountFrequency (%)
8
50.0%
( 3
 
18.8%
) 3
 
18.8%
S 1
 
6.2%
K 1
 
6.2%
None
ValueCountFrequency (%)
㈜ 5
100.0%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T08:08:54.924250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row051-552-6262
2nd row051-555-6004
3rd row051-555-3258
4th row051-504-0636
5th row051-555-1177
ValueCountFrequency (%)
051-552-6262 1
 
3.8%
051-555-6004 1
 
3.8%
051-502-8336 1
 
3.8%
051-557-5177 1
 
3.8%
051-554-3363 1
 
3.8%
051-552-3737 1
 
3.8%
051-522-0569 1
 
3.8%
051-607-7227 1
 
3.8%
051-522-3355 1
 
3.8%
051-553-3000 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T08:08:55.248873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 78
25.0%
- 52
16.7%
0 45
14.4%
1 39
12.5%
2 24
 
7.7%
3 21
 
6.7%
6 16
 
5.1%
7 16
 
5.1%
8 8
 
2.6%
4 7
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 78
30.0%
0 45
17.3%
1 39
15.0%
2 24
 
9.2%
3 21
 
8.1%
6 16
 
6.2%
7 16
 
6.2%
8 8
 
3.1%
4 7
 
2.7%
9 6
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 78
25.0%
- 52
16.7%
0 45
14.4%
1 39
12.5%
2 24
 
7.7%
3 21
 
6.7%
6 16
 
5.1%
7 16
 
5.1%
8 8
 
2.6%
4 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 78
25.0%
- 52
16.7%
0 45
14.4%
1 39
12.5%
2 24
 
7.7%
3 21
 
6.7%
6 16
 
5.1%
7 16
 
5.1%
8 8
 
2.6%
4 7
 
2.2%

도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T08:08:55.454717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.346154
Min length21

Characters and Unicode

Total characters633
Distinct characters54
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

Unique26 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 충렬대로 330 (안락동)
2nd row부산광역시 동래구 복천로 20-1(복천동)
3rd row부산광역시 동래구 충렬대로 95(온천동)
4th row부산광역시 동래구 여고로 131 (사직동)
5th row부산광역시 동래구 반송로 185 (안락동)
ValueCountFrequency (%)
부산광역시 26
22.0%
동래구 26
22.0%
충렬대로 11
 
9.3%
안락동 7
 
5.9%
온천동 4
 
3.4%
반송로 3
 
2.5%
사직동 2
 
1.7%
8(사직동 2
 
1.7%
명장동 1
 
0.8%
명륜동 1
 
0.8%
Other values (35) 35
29.7%
2023-12-13T08:08:55.808582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
16.6%
동 53
 
8.4%
산 28
 
4.4%
시 28
 
4.4%
래 27
 
4.3%
로 26
 
4.1%
) 26
 
4.1%
( 26
 
4.1%
부 26
 
4.1%
광 26
 
4.1%
Other values (44) 262
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
62.4%
Space Separator 105
 
16.6%
Decimal Number 80
 
12.6%
Close Punctuation 26
 
4.1%
Open Punctuation 26
 
4.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
13.4%
산 28
 
7.1%
시 28
 
7.1%
래 27
 
6.8%
로 26
 
6.6%
부 26
 
6.6%
광 26
 
6.6%
역 26
 
6.6%
구 26
 
6.6%
대 15
 
3.8%
Other values (30) 114
28.9%
Decimal Number
ValueCountFrequency (%)
3 15
18.8%
0 15
18.8%
1 11
13.8%
4 9
11.2%
5 8
10.0%
2 7
8.8%
7 5
 
6.2%
8 5
 
6.2%
6 4
 
5.0%
9 1
 
1.2%
Space Separator
ValueCountFrequency (%)
105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
62.4%
Common 238
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
13.4%
산 28
 
7.1%
시 28
 
7.1%
래 27
 
6.8%
로 26
 
6.6%
부 26
 
6.6%
광 26
 
6.6%
역 26
 
6.6%
구 26
 
6.6%
대 15
 
3.8%
Other values (30) 114
28.9%
Common
ValueCountFrequency (%)
105
44.1%
) 26
 
10.9%
( 26
 
10.9%
3 15
 
6.3%
0 15
 
6.3%
1 11
 
4.6%
4 9
 
3.8%
5 8
 
3.4%
2 7
 
2.9%
7 5
 
2.1%
Other values (4) 11
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
62.4%
ASCII 238
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
44.1%
) 26
 
10.9%
( 26
 
10.9%
3 15
 
6.3%
0 15
 
6.3%
1 11
 
4.6%
4 9
 
3.8%
5 8
 
3.4%
2 7
 
2.9%
7 5
 
2.1%
Other values (4) 11
 
4.6%
Hangul
ValueCountFrequency (%)
동 53
13.4%
산 28
 
7.1%
시 28
 
7.1%
래 27
 
6.8%
로 26
 
6.6%
부 26
 
6.6%
광 26
 
6.6%
역 26
 
6.6%
구 26
 
6.6%
대 15
 
3.8%
Other values (30) 114
28.9%

지번주소
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2023-12-13T08:08:55.991795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.16
Min length17

Characters and Unicode

Total characters529
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 안락동 795-20
2nd row부산광역시 동래구 복천동 153
3rd row부산광역시 동래구 온천동 1428-32
4th row부산광역시 동래구 사직동 159-7
5th row부산광역시 동래구 안락동 770-6
ValueCountFrequency (%)
부산광역시 25
23.1%
동래구 25
23.1%
안락동 9
 
8.3%
온천동 5
 
4.6%
사직동 4
 
3.7%
명륜동 2
 
1.9%
태양주유소 1
 
0.9%
온천주유소 1
 
0.9%
233-1 1
 
0.9%
946-6 1
 
0.9%
Other values (34) 34
31.5%
2023-12-13T08:08:56.261448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
15.7%
동 49
 
9.3%
산 26
 
4.9%
구 25
 
4.7%
래 25
 
4.7%
부 25
 
4.7%
시 25
 
4.7%
광 25
 
4.7%
역 25
 
4.7%
- 24
 
4.5%
Other values (44) 197
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
59.5%
Decimal Number 106
 
20.0%
Space Separator 83
 
15.7%
Dash Punctuation 24
 
4.5%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
15.6%
산 26
 
8.3%
구 25
 
7.9%
래 25
 
7.9%
부 25
 
7.9%
시 25
 
7.9%
광 25
 
7.9%
역 25
 
7.9%
안 10
 
3.2%
락 9
 
2.9%
Other values (31) 71
22.5%
Decimal Number
ValueCountFrequency (%)
2 17
16.0%
1 16
15.1%
5 15
14.2%
3 15
14.2%
7 13
12.3%
4 9
8.5%
6 7
6.6%
0 7
6.6%
9 4
 
3.8%
8 3
 
2.8%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
59.7%
Common 213
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
15.5%
산 26
 
8.2%
구 25
 
7.9%
래 25
 
7.9%
부 25
 
7.9%
시 25
 
7.9%
광 25
 
7.9%
역 25
 
7.9%
안 10
 
3.2%
락 9
 
2.8%
Other values (32) 72
22.8%
Common
ValueCountFrequency (%)
83
39.0%
- 24
 
11.3%
2 17
 
8.0%
1 16
 
7.5%
5 15
 
7.0%
3 15
 
7.0%
7 13
 
6.1%
4 9
 
4.2%
6 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
59.5%
ASCII 213
40.3%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
39.0%
- 24
 
11.3%
2 17
 
8.0%
1 16
 
7.5%
5 15
 
7.0%
3 15
 
7.0%
7 13
 
6.1%
4 9
 
4.2%
6 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
동 49
15.6%
산 26
 
8.3%
구 25
 
7.9%
래 25
 
7.9%
부 25
 
7.9%
시 25
 
7.9%
광 25
 
7.9%
역 25
 
7.9%
안 10
 
3.2%
락 9
 
2.9%
Other values (31) 71
22.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.202647
Minimum35.194706
Maximum35.216779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T08:08:56.368566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.194706
5-th percentile35.195172
Q135.198023
median35.200113
Q335.20723
95-th percentile35.212395
Maximum35.216779
Range0.0220732
Interquartile range (IQR)0.009206975

Descriptive statistics

Standard deviation0.0060402638
Coefficient of variation (CV)0.0001715855
Kurtosis-0.56134535
Mean35.202647
Median Absolute Deviation (MAD)0.00460782
Skewness0.56389535
Sum915.26882
Variance3.6484787 × 10-5
MonotonicityNot monotonic
2023-12-13T08:08:56.465467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
35.19923566 1
 
3.8%
35.20779612 1
 
3.8%
35.20654289 1
 
3.8%
35.20028808 1
 
3.8%
35.21335894 1
 
3.8%
35.19982672 1
 
3.8%
35.19617181 1
 
3.8%
35.19631436 1
 
3.8%
35.1965862 1
 
3.8%
35.20732996 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
35.19470591 1
3.8%
35.19483888 1
3.8%
35.19617181 1
3.8%
35.19631436 1
3.8%
35.1965862 1
3.8%
35.1972866 1
3.8%
35.19793193 1
3.8%
35.19829602 1
3.8%
35.19831995 1
3.8%
35.19852247 1
3.8%
ValueCountFrequency (%)
35.21677911 1
3.8%
35.21335894 1
3.8%
35.20950393 1
3.8%
35.20825081 1
3.8%
35.20797174 1
3.8%
35.20779612 1
3.8%
35.20732996 1
3.8%
35.20692983 1
3.8%
35.20654289 1
3.8%
35.20653446 1
3.8%

경도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0874
Minimum129.06084
Maximum129.11382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T08:08:56.560113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06084
5-th percentile129.06625
Q1129.07235
median129.08692
Q3129.10135
95-th percentile129.11158
Maximum129.11382
Range0.0529723
Interquartile range (IQR)0.0289983

Descriptive statistics

Standard deviation0.01602427
Coefficient of variation (CV)0.00012413505
Kurtosis-1.2776152
Mean129.0874
Median Absolute Deviation (MAD)0.0151352
Skewness0.064573768
Sum3356.2723
Variance0.00025677723
MonotonicityNot monotonic
2023-12-13T08:08:56.655141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
129.0946223 1
 
3.8%
129.0844906 1
 
3.8%
129.0924556 1
 
3.8%
129.0608434 1
 
3.8%
129.0717308 1
 
3.8%
129.0917293 1
 
3.8%
129.0856024 1
 
3.8%
129.1089515 1
 
3.8%
129.1063174 1
 
3.8%
129.1028944 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
129.0608434 1
3.8%
129.0662527 1
3.8%
129.0662585 1
3.8%
129.0699176 1
3.8%
129.0704537 1
3.8%
129.0717308 1
3.8%
129.0718366 1
3.8%
129.0738959 1
3.8%
129.074513 1
3.8%
129.076976 1
3.8%
ValueCountFrequency (%)
129.1138157 1
3.8%
129.1124573 1
3.8%
129.1089515 1
3.8%
129.1063174 1
3.8%
129.1062005 1
3.8%
129.1028944 1
3.8%
129.102111 1
3.8%
129.0990659 1
3.8%
129.0959076 1
3.8%
129.0946223 1
3.8%

Interactions

2023-12-13T08:08:53.340323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:52.902345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:53.111741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:53.414906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:52.969391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:53.189072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:53.483335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:53.039861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:08:53.268383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:08:56.726303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분상호명전화번호도로명주소지번주소위도경도
연번1.0000.0001.0001.0001.0001.0000.2410.703
구분0.0001.0001.0001.0001.0001.0000.0000.416
상호명1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
위도0.2410.0001.0001.0001.0001.0001.0000.245
경도0.7030.4161.0001.0001.0001.0000.2451.000
2023-12-13T08:08:56.811242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도구분
연번1.0000.0320.1510.000
위도0.0321.000-0.4560.000
경도0.151-0.4561.0000.366
구분0.0000.0000.3661.000

Missing values

2023-12-13T08:08:53.582908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:08:53.686221image/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

연번구분상호명전화번호도로명주소지번주소위도경도
01주유소(유)에스티 부산지점 안락교차로주유소051-552-6262부산광역시 동래구 충렬대로 330 (안락동)부산광역시 동래구 안락동 795-2035.199236129.094622
12일반판매소경동석유051-555-6004부산광역시 동래구 복천로 20-1(복천동)부산광역시 동래구 복천동 15335.206157129.088235
23주유소광신석유㈜ 충렬대로주유소051-555-3258부산광역시 동래구 충렬대로 95(온천동)부산광역시 동래구 온천동 1428-3235.208251129.071837
34주유소교대주유소051-504-0636부산광역시 동래구 여고로 131 (사직동)부산광역시 동래구 사직동 159-735.199938129.076976
45주유소대경주유소051-555-1177부산광역시 동래구 반송로 185 (안락동)부산광역시 동래구 안락동 770-635.19832129.095908
56일반판매소대동석유051-506-5794부산광역시 동래구 아시아드대로107번길 8(사직동)부산광역시 동래구 사직동 104-1035.194839129.066253
67일반판매소대신석유051-504-1114부산광역시 동래구 아시아드대로134번길 77(사직동)부산광역시 동래구 사직동 127-3335.197932129.069918
78주유소대원주유소051-502-0733부산광역시 동래구 미남로 38 (사직동)부산광역시 동래구 미남로 152-935.207972129.070454
89주유소대일주유소051-502-1155부산광역시 동래구 충렬대로 124 (온천동)부산광역시 동래구 온천동 1443-7 대일주유소35.206534129.073896
910주유소동방석유㈜ 푸른주유소051-555-3827부산광역시 동래구 충렬대로 123 (온천동)부산광역시 동래구 온천동 1431-7 푸른주유소35.20693129.074513
연번구분상호명전화번호도로명주소지번주소위도경도
1617주유소㈜대원에너지051-865-8620부산광역시 동래구 충렬대로 460 (안락동)부산광역시 동래구 안락동 246-2 대원에너지㈜35.197287129.113816
1718주유소㈜삼보 명진셀프주유소051-553-3000부산광역시 동래구 충렬대로 51 (온천동)부산광역시 동래구 온천동 1352-1235.209504129.066259
1819주유소㈜지오에너지 명장주유소051-522-3355부산광역시 동래구 반송로 303 (명장동)<NA>35.20733129.102894
1920주유소지에스칼텍스(주) 태양주유소051-607-7227부산광역시 동래구 충렬대로 440 (안락동)부산광역시 동래구 안락동 250-7 태양주유소35.196586129.106317
2021주유소충렬주유소051-522-0569부산광역시 동래구 충렬대로 463 (안락동)부산광역시 동래구 안락동 472-535.196314129.108951
2122일반판매소한양석유051-552-3737부산광역시 동래구 충렬대로271번길 33(수안동)부산광역시 동래구 수안동 33-2335.196172129.085602
2223주유소한양셀프주유소051-554-3363부산광역시 동래구 충렬대로 300(낙민동)부산광역시 동래구 낙민동 172-2 한양주유소35.199827129.091729
2324주유소한창주유소051-557-5177부산광역시 동래구 우장춘로 56 (온천동)부산광역시 동래구 온천동 580-7635.213359129.071731
2425일반판매소한흥석유051-502-8336부산광역시 동래구 석사북로 8(사직동)부산광역시 동래구 사직동 25-135.200288129.060843
2526일반판매소삼성석유051-556-5188부산광역시 동래구 칠산로50번길 27(칠산동)부산광역시 동래구 칠산동 70-535.206543129.092456