Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory69.0 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description경기도 의정부시 관내 주유소 및 가스 판매소 현황입니다. 연번, 업종(필수), 사업장명(필수), 사업장 전체주소(필수), 도로명 전체주소(선택), 위도(선택), 경도(선택), 기준일의 정보를 제공합니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15059784/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종(필수)High correlation
업종(필수) is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
사업장명(필수) has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:27:56.268652
Analysis finished2023-12-12 02:27:58.056328
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T11:27:58.151325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2023-12-12T11:27:58.317060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

업종(필수)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
주유소
41 
액화석유가스 충전소,판매소,저장소
14 
석유 판매소
고압가스 충전소, 판매소,저장소
 
4

Length

Max length18
Median length3
Mean length7.3484848
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 41
62.1%
액화석유가스 충전소,판매소,저장소 14
 
21.2%
석유 판매소 7
 
10.6%
고압가스 충전소, 판매소,저장소 4
 
6.1%

Length

2023-12-12T11:27:58.479965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:27:58.613198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 41
43.2%
액화석유가스 14
 
14.7%
충전소,판매소,저장소 14
 
14.7%
석유 7
 
7.4%
판매소 7
 
7.4%
고압가스 4
 
4.2%
충전소 4
 
4.2%
판매소,저장소 4
 
4.2%
Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T11:27:58.858752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.030303
Min length4

Characters and Unicode

Total characters596
Distinct characters140
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row대성산업(주) 의정부주유소
2nd row지에스칼텍스㈜의정부주유소
3rd row착한주유소
4th row㈜해성에너지 주유소
5th row한신주유소
ValueCountFrequency (%)
의정부주유소 2
 
2.3%
주식회사 2
 
2.3%
유풍주유소 1
 
1.2%
신흥석유 1
 
1.2%
의정부농업협동조합 1
 
1.2%
국제에너지 1
 
1.2%
동남에너지 1
 
1.2%
금강석유 1
 
1.2%
등유 1
 
1.2%
대한석유 1
 
1.2%
Other values (74) 74
86.0%
2023-12-12T11:27:59.592344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
8.4%
47
 
7.9%
46
 
7.7%
23
 
3.9%
21
 
3.5%
20
 
3.4%
15
 
2.5%
14
 
2.3%
14
 
2.3%
14
 
2.3%
Other values (130) 332
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
85.1%
Uppercase Letter 29
 
4.9%
Space Separator 20
 
3.4%
Other Symbol 14
 
2.3%
Open Punctuation 10
 
1.7%
Close Punctuation 10
 
1.7%
Lowercase Letter 5
 
0.8%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
9.9%
47
 
9.3%
46
 
9.1%
23
 
4.5%
21
 
4.1%
15
 
3.0%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (110) 253
49.9%
Uppercase Letter
ValueCountFrequency (%)
K 5
17.2%
L 5
17.2%
G 5
17.2%
P 4
13.8%
S 3
10.3%
C 2
 
6.9%
I 2
 
6.9%
E 1
 
3.4%
N 1
 
3.4%
H 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
r 1
20.0%
t 1
20.0%
e 1
20.0%
p 1
20.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Symbol
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 521
87.4%
Common 41
 
6.9%
Latin 34
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
9.6%
47
 
9.0%
46
 
8.8%
23
 
4.4%
21
 
4.0%
15
 
2.9%
14
 
2.7%
14
 
2.7%
14
 
2.7%
12
 
2.3%
Other values (111) 265
50.9%
Latin
ValueCountFrequency (%)
K 5
14.7%
L 5
14.7%
G 5
14.7%
P 4
11.8%
S 3
8.8%
C 2
 
5.9%
I 2
 
5.9%
o 1
 
2.9%
r 1
 
2.9%
t 1
 
2.9%
Other values (5) 5
14.7%
Common
ValueCountFrequency (%)
20
48.8%
( 10
24.4%
) 10
24.4%
2 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
85.1%
ASCII 75
 
12.6%
None 14
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
 
9.9%
47
 
9.3%
46
 
9.1%
23
 
4.5%
21
 
4.1%
15
 
3.0%
14
 
2.8%
14
 
2.8%
12
 
2.4%
12
 
2.4%
Other values (110) 253
49.9%
ASCII
ValueCountFrequency (%)
20
26.7%
( 10
13.3%
) 10
13.3%
K 5
 
6.7%
L 5
 
6.7%
G 5
 
6.7%
P 4
 
5.3%
S 3
 
4.0%
C 2
 
2.7%
I 2
 
2.7%
Other values (9) 9
12.0%
None
ValueCountFrequency (%)
14
100.0%
Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T11:27:59.890468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length16.984848
Min length14

Characters and Unicode

Total characters1121
Distinct characters56
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

Unique64 ?
Unique (%)97.0%

Sample

1st row경기도 의정부시 평화로 468
2nd row경기도 의정부시 평화로 697
3rd row경기도 의정부시 호국로 1097
4th row경기도 의정부시 평화로 593
5th row경기도 의정부시 시민로 473
ValueCountFrequency (%)
경기도 66
24.6%
의정부시 66
24.6%
호국로 10
 
3.7%
평화로 9
 
3.4%
동일로 7
 
2.6%
시민로 6
 
2.2%
금신로 5
 
1.9%
민락로 3
 
1.1%
용민로 3
 
1.1%
경의로 3
 
1.1%
Other values (80) 90
33.6%
2023-12-12T11:28:00.341882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
21.8%
73
 
6.5%
72
 
6.4%
69
 
6.2%
68
 
6.1%
68
 
6.1%
66
 
5.9%
66
 
5.9%
66
 
5.9%
1 39
 
3.5%
Other values (46) 290
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
60.8%
Space Separator 244
 
21.8%
Decimal Number 194
 
17.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
10.7%
72
10.6%
69
10.1%
68
10.0%
68
10.0%
66
9.7%
66
9.7%
66
9.7%
12
 
1.8%
11
 
1.6%
Other values (34) 111
16.3%
Decimal Number
ValueCountFrequency (%)
1 39
20.1%
3 24
12.4%
4 22
11.3%
2 22
11.3%
5 19
9.8%
0 18
9.3%
9 16
8.2%
7 16
8.2%
6 9
 
4.6%
8 9
 
4.6%
Space Separator
ValueCountFrequency (%)
244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
60.8%
Common 439
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
10.7%
72
10.6%
69
10.1%
68
10.0%
68
10.0%
66
9.7%
66
9.7%
66
9.7%
12
 
1.8%
11
 
1.6%
Other values (34) 111
16.3%
Common
ValueCountFrequency (%)
244
55.6%
1 39
 
8.9%
3 24
 
5.5%
4 22
 
5.0%
2 22
 
5.0%
5 19
 
4.3%
0 18
 
4.1%
9 16
 
3.6%
7 16
 
3.6%
6 9
 
2.1%
Other values (2) 10
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
60.8%
ASCII 439
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
55.6%
1 39
 
8.9%
3 24
 
5.5%
4 22
 
5.0%
2 22
 
5.0%
5 19
 
4.3%
0 18
 
4.1%
9 16
 
3.6%
7 16
 
3.6%
6 9
 
2.1%
Other values (2) 10
 
2.3%
Hangul
ValueCountFrequency (%)
73
10.7%
72
10.6%
69
10.1%
68
10.0%
68
10.0%
66
9.7%
66
9.7%
66
9.7%
12
 
1.8%
11
 
1.6%
Other values (34) 111
16.3%
Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T11:28:00.634996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length16.984848
Min length14

Characters and Unicode

Total characters1121
Distinct characters56
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

Unique64 ?
Unique (%)97.0%

Sample

1st row경기도 의정부시 평화로 468
2nd row경기도 의정부시 평화로 697
3rd row경기도 의정부시 호국로 1097
4th row경기도 의정부시 평화로 593
5th row경기도 의정부시 시민로 473
ValueCountFrequency (%)
경기도 66
24.6%
의정부시 66
24.6%
호국로 10
 
3.7%
평화로 9
 
3.4%
동일로 7
 
2.6%
시민로 6
 
2.2%
금신로 5
 
1.9%
민락로 3
 
1.1%
용민로 3
 
1.1%
경의로 3
 
1.1%
Other values (80) 90
33.6%
2023-12-12T11:28:01.083185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
21.8%
73
 
6.5%
72
 
6.4%
69
 
6.2%
68
 
6.1%
68
 
6.1%
66
 
5.9%
66
 
5.9%
66
 
5.9%
1 39
 
3.5%
Other values (46) 290
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
60.8%
Space Separator 244
 
21.8%
Decimal Number 194
 
17.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
10.7%
72
10.6%
69
10.1%
68
10.0%
68
10.0%
66
9.7%
66
9.7%
66
9.7%
12
 
1.8%
11
 
1.6%
Other values (34) 111
16.3%
Decimal Number
ValueCountFrequency (%)
1 39
20.1%
3 24
12.4%
4 22
11.3%
2 22
11.3%
5 19
9.8%
0 18
9.3%
9 16
8.2%
7 16
8.2%
6 9
 
4.6%
8 9
 
4.6%
Space Separator
ValueCountFrequency (%)
244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
60.8%
Common 439
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
10.7%
72
10.6%
69
10.1%
68
10.0%
68
10.0%
66
9.7%
66
9.7%
66
9.7%
12
 
1.8%
11
 
1.6%
Other values (34) 111
16.3%
Common
ValueCountFrequency (%)
244
55.6%
1 39
 
8.9%
3 24
 
5.5%
4 22
 
5.0%
2 22
 
5.0%
5 19
 
4.3%
0 18
 
4.1%
9 16
 
3.6%
7 16
 
3.6%
6 9
 
2.1%
Other values (2) 10
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
60.8%
ASCII 439
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
55.6%
1 39
 
8.9%
3 24
 
5.5%
4 22
 
5.0%
2 22
 
5.0%
5 19
 
4.3%
0 18
 
4.1%
9 16
 
3.6%
7 16
 
3.6%
6 9
 
2.1%
Other values (2) 10
 
2.3%
Hangul
ValueCountFrequency (%)
73
10.7%
72
10.6%
69
10.1%
68
10.0%
68
10.0%
66
9.7%
66
9.7%
66
9.7%
12
 
1.8%
11
 
1.6%
Other values (34) 111
16.3%

위도(선택)
Real number (ℝ)

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.737216
Minimum37.691782
Maximum37.77018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T11:28:01.242718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.691782
5-th percentile37.700176
Q137.730698
median37.738129
Q337.751106
95-th percentile37.764012
Maximum37.77018
Range0.078398
Interquartile range (IQR)0.02040753

Descriptive statistics

Standard deviation0.018484378
Coefficient of variation (CV)0.00048981827
Kurtosis0.12033101
Mean37.737216
Median Absolute Deviation (MAD)0.009482
Skewness-0.60161726
Sum2490.6562
Variance0.00034167222
MonotonicityNot monotonic
2023-12-12T11:28:01.422101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.732915 2
 
3.0%
37.733838 1
 
1.5%
37.754589 1
 
1.5%
37.743815 1
 
1.5%
37.736629 1
 
1.5%
37.7403 1
 
1.5%
37.74511 1
 
1.5%
37.73931 1
 
1.5%
37.74796 1
 
1.5%
37.743011 1
 
1.5%
Other values (55) 55
83.3%
ValueCountFrequency (%)
37.691782 1
1.5%
37.693115 1
1.5%
37.698857 1
1.5%
37.699617 1
1.5%
37.701852 1
1.5%
37.703917 1
1.5%
37.707458 1
1.5%
37.707938 1
1.5%
37.713161 1
1.5%
37.718253 1
1.5%
ValueCountFrequency (%)
37.77018 1
1.5%
37.768656 1
1.5%
37.765194 1
1.5%
37.764175 1
1.5%
37.763523 1
1.5%
37.760228 1
1.5%
37.759221 1
1.5%
37.758743 1
1.5%
37.75712 1
1.5%
37.756552 1
1.5%

경도(선택)
Real number (ℝ)

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.064
Minimum127.01012
Maximum127.11853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T11:28:01.584371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01012
5-th percentile127.02725
Q1127.04373
median127.05866
Q3127.08482
95-th percentile127.11435
Maximum127.11853
Range0.108415
Interquartile range (IQR)0.041088

Descriptive statistics

Standard deviation0.027159192
Coefficient of variation (CV)0.00021374419
Kurtosis-0.74513859
Mean127.064
Median Absolute Deviation (MAD)0.0200525
Skewness0.31935591
Sum8386.2243
Variance0.00073762173
MonotonicityNot monotonic
2023-12-12T11:28:01.780313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.114932 2
 
3.0%
127.048235 1
 
1.5%
127.044985 1
 
1.5%
127.102775 1
 
1.5%
127.066057 1
 
1.5%
127.020956 1
 
1.5%
127.09952 1
 
1.5%
127.09025 1
 
1.5%
127.030999 1
 
1.5%
127.048356 1
 
1.5%
Other values (55) 55
83.3%
ValueCountFrequency (%)
127.010117 1
1.5%
127.014108 1
1.5%
127.020956 1
1.5%
127.025999 1
1.5%
127.030999 1
1.5%
127.032707 1
1.5%
127.035118 1
1.5%
127.035507 1
1.5%
127.035834 1
1.5%
127.037552 1
1.5%
ValueCountFrequency (%)
127.118532 1
1.5%
127.116033 1
1.5%
127.114932 2
3.0%
127.1126165 1
1.5%
127.104948 1
1.5%
127.103888 1
1.5%
127.102775 1
1.5%
127.100364 1
1.5%
127.09952 1
1.5%
127.095408 1
1.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-01-01
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 66
100.0%

Length

2023-12-12T11:28:01.918254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:28:02.015836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 66
100.0%

Interactions

2023-12-12T11:27:57.440671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:56.728869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:57.066416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:57.559547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:56.832864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:57.197804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:57.711229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:56.944701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:27:57.332555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:28:02.079262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종(필수)사업장명(필수)사업장 전체주소(필수)도로명 전체주소(선택)위도(선택)경도(선택)
연번1.0000.9021.0000.9360.9360.5840.556
업종(필수)0.9021.0001.0000.9020.9020.2850.272
사업장명(필수)1.0001.0001.0001.0001.0001.0001.000
사업장 전체주소(필수)0.9360.9021.0001.0001.0001.0001.000
도로명 전체주소(선택)0.9360.9021.0001.0001.0001.0001.000
위도(선택)0.5840.2851.0001.0001.0001.0000.366
경도(선택)0.5560.2721.0001.0001.0000.3661.000
2023-12-12T11:28:02.197712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도(선택)경도(선택)업종(필수)
연번1.0000.1790.1270.745
위도(선택)0.1791.0000.0940.159
경도(선택)0.1270.0941.0000.150
업종(필수)0.7450.1590.1501.000

Missing values

2023-12-12T11:27:57.860242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:27:57.998457image/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

연번업종(필수)사업장명(필수)사업장 전체주소(필수)도로명 전체주소(선택)위도(선택)경도(선택)데이터기준일자
01주유소대성산업(주) 의정부주유소경기도 의정부시 평화로 468경기도 의정부시 평화로 46837.733838127.0482352023-01-01
12주유소지에스칼텍스㈜의정부주유소경기도 의정부시 평화로 697경기도 의정부시 평화로 69737.754231127.0430262023-01-01
23주유소착한주유소경기도 의정부시 호국로 1097경기도 의정부시 호국로 109737.743297127.0259992023-01-01
34주유소㈜해성에너지 주유소경기도 의정부시 평화로 593경기도 의정부시 평화로 59337.744936127.0458012023-01-01
45주유소한신주유소경기도 의정부시 시민로 473경기도 의정부시 시민로 47337.730752127.085362023-01-01
56주유소호원IC주유소경기도 의정부시 경의로 5경기도 의정부시 경의로 537.733034127.0358342023-01-01
67주유소광진주유소경기도 의정부시 금신로 300경기도 의정부시 금신로 30037.74459127.0644482023-01-01
78주유소흥산에너지경기도 의정부시 금신로 91경기도 의정부시 금신로 9137.728996127.0636682023-01-01
89주유소이케이에너지(주)바다주유소경기도 의정부시 시민로 367경기도 의정부시 시민로 36737.735718127.0751672023-01-01
910주유소구도일주유소 의정부경기도 의정부시 시민로 213경기도 의정부시 시민로 21337.736568127.0583652023-01-01
연번업종(필수)사업장명(필수)사업장 전체주소(필수)도로명 전체주소(선택)위도(선택)경도(선택)데이터기준일자
5657액화석유가스 충전소,판매소,저장소㈜KLpetro 의정부지점경기도 의정부시 구리포천고속도로 19경기도 의정부시 구리포천고속도로 1937.732915127.1149322023-01-01
5758액화석유가스 충전소,판매소,저장소제일에너지경기도 의정부시 동일로 216-10경기도 의정부시 동일로 216-1037.707938127.0589652023-01-01
5859액화석유가스 충전소,판매소,저장소중부가스경기도 의정부시 호국로1345번길 47경기도 의정부시 호국로1345번길 4737.746679127.0517812023-01-01
5960액화석유가스 충전소,판매소,저장소현대대성가스경기도 의정부시 산성로 9경기도 의정부시 산성로 937.765194127.0427712023-01-01
6061액화석유가스 충전소,판매소,저장소양심가스경기도 의정부시 시민로 432경기도 의정부시 시민로 43237.732638127.0810592023-01-01
6162액화석유가스 충전소,판매소,저장소㈜우진메트로경기도 의정부시 고산로 27경기도 의정부시 고산로 2737.729118127.0954082023-01-01
6263고압가스 충전소, 판매소,저장소덕성산업사경기도 의정부시 입석로 106경기도 의정부시 입석로 10637.75529127.0141082023-01-01
6364고압가스 충전소, 판매소,저장소의정부성모병원경기도 의정부시 천보로 271경기도 의정부시 천보로 27137.758743127.0779232023-01-01
6465고압가스 충전소, 판매소,저장소㈜대원여객경기도 의정부시 용민로 503경기도 의정부시 용민로 50337.748935127.1185322023-01-01
6566고압가스 충전소, 판매소,저장소을지대학교병원경기도 의정부시 동일로 712경기도 의정부시 동일로 71237.751829127.0506962023-01-01