Overview

Dataset statistics

Number of variables10
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory85.4 B

Variable types

Categorical5
Text3
Numeric2

Dataset

Description석유판매업현황(업종, 상호명, 소재지지번주소, 소재지도로명주소, 공급상표, 위도, 경도, 관리기관명, 관리기관연락처 등) 정보 공개
URLhttps://www.data.go.kr/data/3066410/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업종 is highly overall correlated with 공급상표High correlation
공급상표 is highly overall correlated with 업종High correlation
상호명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:57:42.846701
Analysis finished2023-12-12 15:57:44.046507
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
석유판매업(주유소)
22 
LPG·고압가스 판매사업소
8 
액화석유가스 충전사업소
5 
석유판매업(일반판매소)
4 

Length

Max length14
Median length10
Mean length11.282051
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row석유판매업(주유소)
2nd row석유판매업(주유소)
3rd row석유판매업(주유소)
4th row석유판매업(주유소)
5th row석유판매업(주유소)

Common Values

ValueCountFrequency (%)
석유판매업(주유소) 22
56.4%
LPG·고압가스 판매사업소 8
 
20.5%
액화석유가스 충전사업소 5
 
12.8%
석유판매업(일반판매소) 4
 
10.3%

Length

2023-12-13T00:57:44.153948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:44.358355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석유판매업(주유소 22
42.3%
lpg·고압가스 8
 
15.4%
판매사업소 8
 
15.4%
액화석유가스 5
 
9.6%
충전사업소 5
 
9.6%
석유판매업(일반판매소 4
 
7.7%

상호명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:57:44.648612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.974359
Min length4

Characters and Unicode

Total characters272
Distinct characters92
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

Unique39 ?
Unique (%)100.0%

Sample

1st row착한주유소
2nd row대경석유(주) 동성주유소
3rd row엄지주유소
4th row스마트주유소
5th row신동천주유소
ValueCountFrequency (%)
창림에너지(주 2
 
4.5%
동두천주유소 2
 
4.5%
씨엘무역동두천지점㈜ 1
 
2.3%
대경에너지 1
 
2.3%
중앙상사정원 1
 
2.3%
㈜에스케이하나에너지 1
 
2.3%
동두천 1
 
2.3%
엘피지 1
 
2.3%
주식회사 1
 
2.3%
신진엘피지충전소 1
 
2.3%
Other values (32) 32
72.7%
2023-12-13T00:57:45.165828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 23
 
8.5%
소 23
 
8.5%
유 21
 
7.7%
지 12
 
4.4%
천 10
 
3.7%
동 10
 
3.7%
스 8
 
2.9%
에 8
 
2.9%
두 8
 
2.9%
가 7
 
2.6%
Other values (82) 142
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
91.2%
Uppercase Letter 7
 
2.6%
Space Separator 5
 
1.8%
Open Punctuation 4
 
1.5%
Other Symbol 4
 
1.5%
Close Punctuation 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
9.3%
소 23
 
9.3%
유 21
 
8.5%
지 12
 
4.8%
천 10
 
4.0%
동 10
 
4.0%
스 8
 
3.2%
에 8
 
3.2%
두 8
 
3.2%
가 7
 
2.8%
Other values (71) 118
47.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
14.3%
P 1
14.3%
G 1
14.3%
B 1
14.3%
A 1
14.3%
N 1
14.3%
K 1
14.3%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
92.6%
Common 13
 
4.8%
Latin 7
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
9.1%
소 23
 
9.1%
유 21
 
8.3%
지 12
 
4.8%
천 10
 
4.0%
동 10
 
4.0%
스 8
 
3.2%
에 8
 
3.2%
두 8
 
3.2%
가 7
 
2.8%
Other values (72) 122
48.4%
Latin
ValueCountFrequency (%)
L 1
14.3%
P 1
14.3%
G 1
14.3%
B 1
14.3%
A 1
14.3%
N 1
14.3%
K 1
14.3%
Common
ValueCountFrequency (%)
5
38.5%
( 4
30.8%
) 4
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
91.2%
ASCII 20
 
7.4%
None 4
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 23
 
9.3%
소 23
 
9.3%
유 21
 
8.5%
지 12
 
4.8%
천 10
 
4.0%
동 10
 
4.0%
스 8
 
3.2%
에 8
 
3.2%
두 8
 
3.2%
가 7
 
2.8%
Other values (71) 118
47.6%
ASCII
ValueCountFrequency (%)
5
25.0%
( 4
20.0%
) 4
20.0%
L 1
 
5.0%
P 1
 
5.0%
G 1
 
5.0%
B 1
 
5.0%
A 1
 
5.0%
N 1
 
5.0%
K 1
 
5.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지지번주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:57:45.478061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.179487
Min length15

Characters and Unicode

Total characters709
Distinct characters31
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

Unique39 ?
Unique (%)100.0%

Sample

1st row경기도 동두천시 동두천동 385-3
2nd row경기도 동두천시 동두천동 403
3rd row경기도 동두천시 동두천동 521-108
4th row경기도 동두천시 상봉암동 153-4
5th row경기도 동두천시 상패동 196-4
ValueCountFrequency (%)
경기도 39
25.0%
동두천시 39
25.0%
상패동 11
 
7.1%
생연동 8
 
5.1%
하봉암동 5
 
3.2%
동두천동 4
 
2.6%
송내동 4
 
2.6%
상봉암동 3
 
1.9%
지행동 3
 
1.9%
400-3 1
 
0.6%
Other values (39) 39
25.0%
2023-12-13T00:57:45.975635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
16.5%
동 83
 
11.7%
두 43
 
6.1%
천 43
 
6.1%
경 39
 
5.5%
도 39
 
5.5%
시 39
 
5.5%
기 39
 
5.5%
- 35
 
4.9%
4 24
 
3.4%
Other values (21) 208
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
56.7%
Decimal Number 155
 
21.9%
Space Separator 117
 
16.5%
Dash Punctuation 35
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 83
20.6%
두 43
10.7%
천 43
10.7%
경 39
9.7%
도 39
9.7%
시 39
9.7%
기 39
9.7%
상 14
 
3.5%
패 11
 
2.7%
연 8
 
2.0%
Other values (9) 44
10.9%
Decimal Number
ValueCountFrequency (%)
4 24
15.5%
1 23
14.8%
3 22
14.2%
2 18
11.6%
7 13
8.4%
0 12
7.7%
6 12
7.7%
9 12
7.7%
5 12
7.7%
8 7
 
4.5%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
56.7%
Common 307
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 83
20.6%
두 43
10.7%
천 43
10.7%
경 39
9.7%
도 39
9.7%
시 39
9.7%
기 39
9.7%
상 14
 
3.5%
패 11
 
2.7%
연 8
 
2.0%
Other values (9) 44
10.9%
Common
ValueCountFrequency (%)
117
38.1%
- 35
 
11.4%
4 24
 
7.8%
1 23
 
7.5%
3 22
 
7.2%
2 18
 
5.9%
7 13
 
4.2%
0 12
 
3.9%
6 12
 
3.9%
9 12
 
3.9%
Other values (2) 19
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
56.7%
ASCII 307
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
38.1%
- 35
 
11.4%
4 24
 
7.8%
1 23
 
7.5%
3 22
 
7.2%
2 18
 
5.9%
7 13
 
4.2%
0 12
 
3.9%
6 12
 
3.9%
9 12
 
3.9%
Other values (2) 19
 
6.2%
Hangul
ValueCountFrequency (%)
동 83
20.6%
두 43
10.7%
천 43
10.7%
경 39
9.7%
도 39
9.7%
시 39
9.7%
기 39
9.7%
상 14
 
3.5%
패 11
 
2.7%
연 8
 
2.0%
Other values (9) 44
10.9%

소재지도로명주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-13T00:57:46.240726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length17.282051
Min length15

Characters and Unicode

Total characters674
Distinct characters38
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

Unique39 ?
Unique (%)100.0%

Sample

1st row경기도 동두천시 평화로 2817
2nd row경기도 동두천시 강변로 858
3rd row경기도 동두천시 강변로 670
4th row경기도 동두천시 평화로 2882
5th row경기도 동두천시 삼육사로 770
ValueCountFrequency (%)
경기도 39
25.0%
동두천시 39
25.0%
평화로 15
 
9.6%
강변로 8
 
5.1%
삼육사로 7
 
4.5%
어수로 3
 
1.9%
벌마들로40번길 2
 
1.3%
782 1
 
0.6%
28-4 1
 
0.6%
2467 1
 
0.6%
Other values (40) 40
25.6%
2023-12-13T00:57:46.718985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
17.4%
천 40
 
5.9%
경 39
 
5.8%
기 39
 
5.8%
시 39
 
5.8%
로 39
 
5.8%
두 39
 
5.8%
동 39
 
5.8%
도 39
 
5.8%
2 28
 
4.2%
Other values (28) 216
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
61.0%
Decimal Number 142
 
21.1%
Space Separator 117
 
17.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 40
9.7%
경 39
9.5%
기 39
9.5%
시 39
9.5%
로 39
9.5%
두 39
9.5%
동 39
9.5%
도 39
9.5%
평 15
 
3.6%
화 15
 
3.6%
Other values (16) 68
16.5%
Decimal Number
ValueCountFrequency (%)
2 28
19.7%
8 20
14.1%
1 16
11.3%
4 15
10.6%
3 14
9.9%
0 13
9.2%
7 12
8.5%
6 10
 
7.0%
9 7
 
4.9%
5 7
 
4.9%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
61.0%
Common 263
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 40
9.7%
경 39
9.5%
기 39
9.5%
시 39
9.5%
로 39
9.5%
두 39
9.5%
동 39
9.5%
도 39
9.5%
평 15
 
3.6%
화 15
 
3.6%
Other values (16) 68
16.5%
Common
ValueCountFrequency (%)
117
44.5%
2 28
 
10.6%
8 20
 
7.6%
1 16
 
6.1%
4 15
 
5.7%
3 14
 
5.3%
0 13
 
4.9%
7 12
 
4.6%
6 10
 
3.8%
9 7
 
2.7%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
61.0%
ASCII 263
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
44.5%
2 28
 
10.6%
8 20
 
7.6%
1 16
 
6.1%
4 15
 
5.7%
3 14
 
5.3%
0 13
 
4.9%
7 12
 
4.6%
6 10
 
3.8%
9 7
 
2.7%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
천 40
9.7%
경 39
9.5%
기 39
9.5%
시 39
9.5%
로 39
9.5%
두 39
9.5%
동 39
9.5%
도 39
9.5%
평 15
 
3.6%
화 15
 
3.6%
Other values (16) 68
16.5%

공급상표
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
GS칼텍스
6 
현대오일뱅크
5 
S-OIL
5 
SK
4 
수시변경
4 
Other values (6)
15 

Length

Max length8
Median length5
Mean length4.3846154
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row현대오일뱅크
2nd rowGS칼텍스
3rd rowSK
4th rowS-OIL
5th row기타

Common Values

ValueCountFrequency (%)
GS칼텍스 6
15.4%
현대오일뱅크 5
12.8%
S-OIL 5
12.8%
SK 4
10.3%
수시변경 4
10.3%
자동차 4
10.3%
LPG 4
10.3%
LPG·고압가스 3
7.7%
기타 2
 
5.1%
용기·자동차 1
 
2.6%

Length

2023-12-13T00:57:46.915722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
gs칼텍스 6
15.4%
현대오일뱅크 5
12.8%
s-oil 5
12.8%
sk 4
10.3%
수시변경 4
10.3%
자동차 4
10.3%
lpg 4
10.3%
lpg·고압가스 3
7.7%
기타 2
 
5.1%
용기·자동차 1
 
2.6%

위도
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.914284
Minimum37.867367
Maximum37.970524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T00:57:47.085150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.867367
5-th percentile37.878167
Q137.898635
median37.908112
Q337.938964
95-th percentile37.96489
Maximum37.970524
Range0.10315674
Interquartile range (IQR)0.04032941

Descriptive statistics

Standard deviation0.027147245
Coefficient of variation (CV)0.00071601629
Kurtosis-0.49137304
Mean37.914284
Median Absolute Deviation (MAD)0.01302797
Skewness0.59926472
Sum1478.6571
Variance0.00073697292
MonotonicityNot monotonic
2023-12-13T00:57:47.266221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
37.93948761 1
 
2.6%
37.94152617 1
 
2.6%
37.90526215 1
 
2.6%
37.86736712 1
 
2.6%
37.90811209 1
 
2.6%
37.90891442 1
 
2.6%
37.87554425 1
 
2.6%
37.90835106 1
 
2.6%
37.93844031 1
 
2.6%
37.88794131 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
37.86736712 1
2.6%
37.87554425 1
2.6%
37.87845866 1
2.6%
37.87951352 1
2.6%
37.88469701 1
2.6%
37.88794131 1
2.6%
37.88999279 1
2.6%
37.89508412 1
2.6%
37.89603374 1
2.6%
37.89664898 1
2.6%
ValueCountFrequency (%)
37.97052386 1
2.6%
37.96526882 1
2.6%
37.96484756 1
2.6%
37.96188991 1
2.6%
37.95995491 1
2.6%
37.94412971 1
2.6%
37.94410212 1
2.6%
37.94300155 1
2.6%
37.94152617 1
2.6%
37.93948761 1
2.6%

경도
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05441
Minimum127.03071
Maximum127.11012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T00:57:47.442801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.03071
5-th percentile127.03152
Q1127.04608
median127.05598
Q3127.06042
95-th percentile127.0719
Maximum127.11012
Range0.0794107
Interquartile range (IQR)0.0143367

Descriptive statistics

Standard deviation0.014609271
Coefficient of variation (CV)0.00011498436
Kurtosis4.3981144
Mean127.05441
Median Absolute Deviation (MAD)0.0083483
Skewness1.1439463
Sum4955.122
Variance0.00021343079
MonotonicityNot monotonic
2023-12-13T00:57:47.627477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
127.0557867 1
 
2.6%
127.0553643 1
 
2.6%
127.0463369 1
 
2.6%
127.1101175 1
 
2.6%
127.0581326 1
 
2.6%
127.0510653 1
 
2.6%
127.0560838 1
 
2.6%
127.0315596 1
 
2.6%
127.051969 1
 
2.6%
127.0569972 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
127.0307068 1
2.6%
127.0311792 1
2.6%
127.0315596 1
2.6%
127.0346105 1
2.6%
127.0351147 1
2.6%
127.0384714 1
2.6%
127.0393005 1
2.6%
127.0396653 1
2.6%
127.0453775 1
2.6%
127.0459955 1
2.6%
ValueCountFrequency (%)
127.1101175 1
2.6%
127.072057 1
2.6%
127.0718794 1
2.6%
127.068125 1
2.6%
127.0679651 1
2.6%
127.0668016 1
2.6%
127.0661961 1
2.6%
127.0643323 1
2.6%
127.0627674 1
2.6%
127.0608481 1
2.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
경기도 동두천시청 일자리경제과
39 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 일자리경제과
2nd row경기도 동두천시청 일자리경제과
3rd row경기도 동두천시청 일자리경제과
4th row경기도 동두천시청 일자리경제과
5th row경기도 동두천시청 일자리경제과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 일자리경제과 39
100.0%

Length

2023-12-13T00:57:47.780337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:47.915445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 39
33.3%
동두천시청 39
33.3%
일자리경제과 39
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
031-860-2328
39 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2328
2nd row031-860-2328
3rd row031-860-2328
4th row031-860-2328
5th row031-860-2328

Common Values

ValueCountFrequency (%)
031-860-2328 39
100.0%

Length

2023-12-13T00:57:48.076962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:48.202355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2328 39
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-05-23
39 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-23
2nd row2023-05-23
3rd row2023-05-23
4th row2023-05-23
5th row2023-05-23

Common Values

ValueCountFrequency (%)
2023-05-23 39
100.0%

Length

2023-12-13T00:57:48.318784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:48.423430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-23 39
100.0%

Interactions

2023-12-13T00:57:43.510144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:43.247798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:43.610652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:43.365282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:57:48.910808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호명소재지지번주소소재지도로명주소공급상표위도경도
업종1.0001.0001.0001.0001.0000.0000.061
상호명1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
공급상표1.0001.0001.0001.0001.0000.0000.000
위도0.0001.0001.0001.0000.0001.0000.760
경도0.0611.0001.0001.0000.0000.7601.000
2023-12-13T00:57:49.080283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종공급상표
업종1.0000.894
공급상표0.8941.000
2023-12-13T00:57:49.203471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종공급상표
위도1.0000.1530.0000.000
경도0.1531.0000.0000.000
업종0.0000.0001.0000.894
공급상표0.0000.0000.8941.000

Missing values

2023-12-13T00:57:43.771416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:57:43.959559image/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

업종상호명소재지지번주소소재지도로명주소공급상표위도경도관리기관명관리기관전화번호데이터기준일자
0석유판매업(주유소)착한주유소경기도 동두천시 동두천동 385-3경기도 동두천시 평화로 2817현대오일뱅크37.939488127.055787경기도 동두천시청 일자리경제과031-860-23282023-05-23
1석유판매업(주유소)대경석유(주) 동성주유소경기도 동두천시 동두천동 403경기도 동두천시 강변로 858GS칼텍스37.941526127.055364경기도 동두천시청 일자리경제과031-860-23282023-05-23
2석유판매업(주유소)엄지주유소경기도 동두천시 동두천동 521-108경기도 동두천시 강변로 670SK37.926354127.050599경기도 동두천시청 일자리경제과031-860-23282023-05-23
3석유판매업(주유소)스마트주유소경기도 동두천시 상봉암동 153-4경기도 동두천시 평화로 2882S-OIL37.944102127.05999경기도 동두천시청 일자리경제과031-860-23282023-05-23
4석유판매업(주유소)신동천주유소경기도 동두천시 상패동 196-4경기도 동두천시 삼육사로 770기타37.907071127.038471경기도 동두천시청 일자리경제과031-860-23282023-05-23
5석유판매업(주유소)이담주유소경기도 동두천시 상패동 201-24경기도 동두천시 삼육사로 733GS칼텍스37.908406127.035115경기도 동두천시청 일자리경제과031-860-23282023-05-23
6석유판매업(주유소)신진BANK경기도 동두천시 상패동 407-1경기도 동두천시 삼육사로 704현대오일뱅크37.90826127.031179경기도 동두천시청 일자리경제과031-860-23282023-05-23
7석유판매업(주유소)이섬주유소경기도 동두천시 상패동 69-22경기도 동두천시 어수로 30GS칼텍스37.904194127.04617경기도 동두천시청 일자리경제과031-860-23282023-05-23
8석유판매업(주유소)무궁화주유소경기도 동두천시 상패동 79-2경기도 동두천시 어수로 22기타37.904721127.045378경기도 동두천시청 일자리경제과031-860-23282023-05-23
9석유판매업(주유소)생연주유소경기도 동두천시 생연동 45-3경기도 동두천시 삼육사로 1118SK37.895084127.072057경기도 동두천시청 일자리경제과031-860-23282023-05-23
업종상호명소재지지번주소소재지도로명주소공급상표위도경도관리기관명관리기관전화번호데이터기준일자
29액화석유가스 충전사업소창림에너지(주) 동두천충전소경기도 동두천시 지행동 473-3경기도 동두천시 평화로 2244자동차37.887941127.056997경기도 동두천시청 일자리경제과031-860-23282023-05-23
30액화석유가스 충전사업소창림에너지(주)경기도 동두천시 상봉암동 154-1경기도 동두천시 평화로 2884-2용기·자동차37.94413127.060848경기도 동두천시청 일자리경제과031-860-23282023-05-23
31LPG·고압가스 판매사업소신흥에너지경기도 동두천시 상패동 213경기도 동두천시 삼육사로 782LPG37.906572127.039665경기도 동두천시청 일자리경제과031-860-23282023-05-23
32LPG·고압가스 판매사업소천일가스경기도 동두천시 상패동 453-4경기도 동두천시 삼육사로691번길 18LPG37.910211127.030707경기도 동두천시청 일자리경제과031-860-23282023-05-23
33LPG·고압가스 판매사업소동두천북부가스경기도 동두천시 생연동 203-4경기도 동두천시 못골로 133-8LPG37.90863127.068125경기도 동두천시청 일자리경제과031-860-23282023-05-23
34LPG·고압가스 판매사업소양심가스경기도 동두천시 하봉암동 62-6경기도 동두천시 평화로 3085LPG37.96189127.064332경기도 동두천시청 일자리경제과031-860-23282023-05-23
35LPG·고압가스 판매사업소세원에너지경기도 동두천시 상봉암동 172-4경기도 동두천시 강변로 882LPG·고압가스37.943002127.057426경기도 동두천시청 일자리경제과031-860-23282023-05-23
36LPG·고압가스 판매사업소현대종합가스경기도 동두천시 상패동 376-1경기도 동두천시 벌마들로40번길 128-9LPG·고압가스37.903283127.03461경기도 동두천시청 일자리경제과031-860-23282023-05-23
37LPG·고압가스 판매사업소국제종합가스경기도 동두천시 상패동 226-7경기도 동두천시 벌마들로40번길 47LPG·고압가스37.90214127.0393경기도 동두천시청 일자리경제과031-860-23282023-05-23
38LPG·고압가스 판매사업소중부종합가스경기도 동두천시 생연동 693-17경기도 동두천시 어수로102번길 37고압가스37.90062127.05355경기도 동두천시청 일자리경제과031-860-23282023-05-23