Overview

Dataset statistics

Number of variables30
Number of observations32
Missing cells184
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory263.1 B

Variable types

Numeric9
Categorical13
Unsupported5
Text3

Dataset

Description6270000_대구광역시_09_28_07_P_석유및석유대체연료판매업체_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086189&dataSetDetailId=DDI_0000086255&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
최종수정시점 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
폐업일자 is highly imbalanced (79.9%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
소재지전화 has 2 (6.2%) missing valuesMissing
소재지면적 has 32 (100.0%) missing valuesMissing
소재지우편번호 has 1 (3.1%) missing valuesMissing
도로명전체주소 has 1 (3.1%) missing valuesMissing
도로명우편번호 has 12 (37.5%) missing valuesMissing
자본금 has 8 (25.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:49:26.237729
Analysis finished2023-12-10 18:49:26.731323
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:26.836351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-11T03:49:27.117056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
석유및석유대체연료판매업체
32 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
석유및석유대체연료판매업체 32
100.0%

Length

2023-12-11T03:49:27.320295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:27.530314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석유및석유대체연료판매업체 32
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
09_28_07_P
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09_28_07_P
2nd row09_28_07_P
3rd row09_28_07_P
4th row09_28_07_P
5th row09_28_07_P

Common Values

ValueCountFrequency (%)
09_28_07_P 32
100.0%

Length

2023-12-11T03:49:27.694975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:27.858013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09_28_07_p 32
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
6270000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 32
100.0%

Length

2023-12-11T03:49:28.111476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:28.286050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 32
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0062208 × 1017
Minimum1.978627 × 1017
Maximum2.019627 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:28.447662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.978627 × 1017
5-th percentile1.990177 × 1017
Q12.004627 × 1017
median2.007627 × 1017
Q32.009627 × 1017
95-th percentile2.015627 × 1017
Maximum2.019627 × 1017
Range4.1 × 1015
Interquartile range (IQR)5 × 1014

Descriptive statistics

Standard deviation8.4885478 × 1014
Coefficient of variation (CV)0.0042311135
Kurtosis5.9012761
Mean2.0062208 × 1017
Median Absolute Deviation (MAD)2.5 × 1014
Skewness-2.0991553
Sum6.4199064 × 1018
Variance7.2055444 × 1029
MonotonicityNot monotonic
2023-12-11T03:49:28.676412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
197862700006500001 1
 
3.1%
200962700006700002 1
 
3.1%
201562700006500001 1
 
3.1%
200462700006600001 1
 
3.1%
200562700006600001 1
 
3.1%
199962700006500001 1
 
3.1%
200162700006700001 1
 
3.1%
200762700006600001 1
 
3.1%
200762700006500002 1
 
3.1%
200762700006700001 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
197862700006500001 1
3.1%
197862700006500002 1
3.1%
199962700006500001 1
3.1%
199962700006500002 1
3.1%
200162700006700001 1
3.1%
200262700006500001 1
3.1%
200462700006500001 1
3.1%
200462700006600001 1
3.1%
200462700006600002 1
3.1%
200562700006600001 1
3.1%
ValueCountFrequency (%)
201962700006700001 1
3.1%
201562700006800001 1
3.1%
201562700006700001 1
3.1%
201562700006500001 1
3.1%
201162700006500001 1
3.1%
201062700006500002 1
3.1%
201062700006500001 1
3.1%
200962700006700002 1
3.1%
200962700006700001 1
3.1%
200962700006600001 1
3.1%

인허가일자
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056334
Minimum19780117
Maximum20191204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:28.912023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19780117
5-th percentile19896118
Q120040931
median20070523
Q320090991
95-th percentile20150623
Maximum20191204
Range411087
Interquartile range (IQR)50059.75

Descriptive statistics

Standard deviation85020.367
Coefficient of variation (CV)0.0042390782
Kurtosis5.8833697
Mean20056334
Median Absolute Deviation (MAD)29469.5
Skewness-2.0917394
Sum6.4180267 × 108
Variance7.2284628 × 109
MonotonicityNot monotonic
2023-12-11T03:49:29.179880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20150213 2
 
6.2%
19780117 1
 
3.1%
20090804 1
 
3.1%
20151124 1
 
3.1%
20041103 1
 
3.1%
20041004 1
 
3.1%
19991021 1
 
3.1%
20010726 1
 
3.1%
20070515 1
 
3.1%
20070531 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
19780117 1
3.1%
19780125 1
3.1%
19991021 1
3.1%
19991221 1
3.1%
20010726 1
3.1%
20020516 1
3.1%
20040615 1
3.1%
20040713 1
3.1%
20041004 1
3.1%
20041103 1
3.1%
ValueCountFrequency (%)
20191204 1
3.1%
20151124 1
3.1%
20150213 2
6.2%
20110330 1
3.1%
20100520 1
3.1%
20100317 1
3.1%
20091231 1
3.1%
20090911 1
3.1%
20090804 1
3.1%
20090609 1
3.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
3
21 
1
10 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 21
65.6%
1 10
31.2%
4 1
 
3.1%

Length

2023-12-11T03:49:29.406109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:29.605600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
65.6%
1 10
31.2%
4 1
 
3.1%

영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
폐업
21 
영업/정상
10 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.3125
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row영업/정상
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 21
65.6%
영업/정상 10
31.2%
취소/말소/만료/정지/중지 1
 
3.1%

Length

2023-12-11T03:49:29.805486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:30.049008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
65.6%
영업/정상 10
31.2%
취소/말소/만료/정지/중지 1
 
3.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
3
21 
7
10 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row7
2nd row2
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
3 21
65.6%
7 10
31.2%
2 1
 
3.1%

Length

2023-12-11T03:49:30.230438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:30.402771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
65.6%
7 10
31.2%
2 1
 
3.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
폐지
21 
영업개시
10 
등록취소
 
1

Length

Max length4
Median length2
Mean length2.6875
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row영업개시
2nd row등록취소
3rd row영업개시
4th row영업개시
5th row영업개시

Common Values

ValueCountFrequency (%)
폐지 21
65.6%
영업개시 10
31.2%
등록취소 1
 
3.1%

Length

2023-12-11T03:49:30.602720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:30.824906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 21
65.6%
영업개시 10
31.2%
등록취소 1
 
3.1%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
20120321
 
1

Length

Max length8
Median length4
Mean length4.125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
20120321 1
 
3.1%

Length

2023-12-11T03:49:31.036265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:31.209181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
20120321 1
 
3.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)90.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean5.3836307 × 108
Minimum5.326215 × 108
Maximum5.9982634 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:31.455520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.326215 × 108
5-th percentile5.3325128 × 108
Q15.336449 × 108
median5.3583114 × 108
Q35.3964164 × 108
95-th percentile5.3983527 × 108
Maximum5.9982634 × 108
Range67204833
Interquartile range (IQR)5996738.8

Descriptive statistics

Standard deviation11880730
Coefficient of variation (CV)0.022068248
Kurtosis27.061075
Mean5.3836307 × 108
Median Absolute Deviation (MAD)2270947
Skewness5.0857999
Sum1.6150892 × 1010
Variance1.4115174 × 1014
MonotonicityNot monotonic
2023-12-11T03:49:31.665280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
535817188 2
 
6.2%
539650982 2
 
6.2%
539645188 2
 
6.2%
533534700 1
 
3.1%
533415252 1
 
3.1%
539658051 1
 
3.1%
537930953 1
 
3.1%
533117738 1
 
3.1%
536175182 1
 
3.1%
537835125 1
 
3.1%
Other values (17) 17
53.1%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
532621505 1
3.1%
533117738 1
3.1%
533414500 1
3.1%
533415252 1
3.1%
533534700 1
3.1%
533549063 1
3.1%
533571333 1
3.1%
533581479 1
3.1%
533835155 1
3.1%
534243395 1
3.1%
ValueCountFrequency (%)
599826338 1
3.1%
539847711 1
3.1%
539820064 1
3.1%
539658051 1
3.1%
539650982 2
6.2%
539645188 2
6.2%
539630983 1
3.1%
537930953 1
3.1%
537835125 1
3.1%
537626044 1
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean681934.23
Minimum41521
Maximum706825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:31.872467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41521
5-th percentile700631.5
Q1701835
median702872
Q3704190
95-th percentile706145
Maximum706825
Range665304
Interquartile range (IQR)2355

Descriptive statistics

Standard deviation118866.81
Coefficient of variation (CV)0.17430832
Kurtosis30.987177
Mean681934.23
Median Absolute Deviation (MAD)1318
Skewness-5.5660903
Sum21139961
Variance1.4129318 × 1010
MonotonicityNot monotonic
2023-12-11T03:49:32.043127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
704190 4
 
12.5%
701835 3
 
9.4%
701140 2
 
6.2%
703825 2
 
6.2%
700842 1
 
3.1%
704910 1
 
3.1%
702815 1
 
3.1%
706220 1
 
3.1%
702290 1
 
3.1%
706070 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
41521 1
 
3.1%
700421 1
 
3.1%
700842 1
 
3.1%
701140 2
6.2%
701250 1
 
3.1%
701804 1
 
3.1%
701835 3
9.4%
702290 1
 
3.1%
702814 1
 
3.1%
702815 1
 
3.1%
ValueCountFrequency (%)
706825 1
 
3.1%
706220 1
 
3.1%
706070 1
 
3.1%
704910 1
 
3.1%
704901 1
 
3.1%
704743 1
 
3.1%
704190 4
12.5%
704130 1
 
3.1%
703830 1
 
3.1%
703829 1
 
3.1%

소재지전체주소
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T03:49:32.399063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26.5
Mean length24.5
Min length19

Characters and Unicode

Total characters784
Distinct characters54
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row대구광역시 중구 동인동2가 25번지 1호
2nd row대구광역시 달서구 장동 18번지 1호
3rd row대구광역시 서구 이현동 42번지 201호
4th row대구광역시 북구 침산동 901번지 5호
5th row대구광역시 동구 방촌동 1084번지 698호
ValueCountFrequency (%)
대구광역시 32
20.0%
북구 8
 
5.0%
달서구 8
 
5.0%
동구 7
 
4.4%
1호 6
 
3.8%
5호 5
 
3.1%
장동 4
 
2.5%
용계동 4
 
2.5%
서구 4
 
2.5%
수성구 3
 
1.9%
Other values (61) 79
49.4%
2023-12-11T03:49:32.920833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
24.2%
구 64
 
8.2%
동 41
 
5.2%
1 36
 
4.6%
광 33
 
4.2%
시 33
 
4.2%
지 33
 
4.2%
대 32
 
4.1%
역 32
 
4.1%
번 32
 
4.1%
Other values (44) 258
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
55.1%
Space Separator 190
24.2%
Decimal Number 162
 
20.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
14.8%
동 41
9.5%
광 33
 
7.6%
시 33
 
7.6%
지 33
 
7.6%
대 32
 
7.4%
역 32
 
7.4%
번 32
 
7.4%
호 28
 
6.5%
서 12
 
2.8%
Other values (33) 92
21.3%
Decimal Number
ValueCountFrequency (%)
1 36
22.2%
3 18
11.1%
7 17
10.5%
2 17
10.5%
5 17
10.5%
8 16
9.9%
0 16
9.9%
9 10
 
6.2%
6 8
 
4.9%
4 7
 
4.3%
Space Separator
ValueCountFrequency (%)
190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
55.1%
Common 352
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
14.8%
동 41
9.5%
광 33
 
7.6%
시 33
 
7.6%
지 33
 
7.6%
대 32
 
7.4%
역 32
 
7.4%
번 32
 
7.4%
호 28
 
6.5%
서 12
 
2.8%
Other values (33) 92
21.3%
Common
ValueCountFrequency (%)
190
54.0%
1 36
 
10.2%
3 18
 
5.1%
7 17
 
4.8%
2 17
 
4.8%
5 17
 
4.8%
8 16
 
4.5%
0 16
 
4.5%
9 10
 
2.8%
6 8
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
55.1%
ASCII 352
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
54.0%
1 36
 
10.2%
3 18
 
5.1%
7 17
 
4.8%
2 17
 
4.8%
5 17
 
4.8%
8 16
 
4.5%
0 16
 
4.5%
9 10
 
2.8%
6 8
 
2.3%
Hangul
ValueCountFrequency (%)
구 64
14.8%
동 41
9.5%
광 33
 
7.6%
시 33
 
7.6%
지 33
 
7.6%
대 32
 
7.4%
역 32
 
7.4%
번 32
 
7.4%
호 28
 
6.5%
서 12
 
2.8%
Other values (33) 92
21.3%

도로명전체주소
Text

MISSING 

Distinct27
Distinct (%)87.1%
Missing1
Missing (%)3.1%
Memory size388.0 B
2023-12-11T03:49:33.231713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length25.387097
Min length20

Characters and Unicode

Total characters787
Distinct characters79
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

Unique23 ?
Unique (%)74.2%

Sample

1st row대구광역시 중구 국채보상로 642 (동인동2가)
2nd row대구광역시 달서구 문화회관7길 17 (장동)
3rd row대구광역시 서구 문화로 24 (이현동)
4th row대구광역시 북구 노원로동39길 27 (침산동)
5th row대구광역시 동구 화랑로 371 (방촌동)
ValueCountFrequency (%)
대구광역시 31
 
19.5%
북구 8
 
5.0%
달서구 8
 
5.0%
동구 6
 
3.8%
장동 4
 
2.5%
노원동3가 4
 
2.5%
서구 4
 
2.5%
용계동 3
 
1.9%
수성구 3
 
1.9%
245-14 2
 
1.3%
Other values (67) 86
54.1%
2023-12-11T03:49:33.749641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
16.3%
구 63
 
8.0%
동 45
 
5.7%
대 33
 
4.2%
광 32
 
4.1%
시 32
 
4.1%
) 31
 
3.9%
( 31
 
3.9%
역 31
 
3.9%
로 27
 
3.4%
Other values (69) 334
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 461
58.6%
Space Separator 128
 
16.3%
Decimal Number 123
 
15.6%
Close Punctuation 31
 
3.9%
Open Punctuation 31
 
3.9%
Dash Punctuation 8
 
1.0%
Other Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 63
13.7%
동 45
 
9.8%
대 33
 
7.2%
광 32
 
6.9%
시 32
 
6.9%
역 31
 
6.7%
로 27
 
5.9%
서 15
 
3.3%
달 13
 
2.8%
길 13
 
2.8%
Other values (54) 157
34.1%
Decimal Number
ValueCountFrequency (%)
1 26
21.1%
3 18
14.6%
2 16
13.0%
4 12
9.8%
0 11
8.9%
9 10
 
8.1%
7 10
 
8.1%
5 8
 
6.5%
8 7
 
5.7%
6 5
 
4.1%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 461
58.6%
Common 326
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 63
13.7%
동 45
 
9.8%
대 33
 
7.2%
광 32
 
6.9%
시 32
 
6.9%
역 31
 
6.7%
로 27
 
5.9%
서 15
 
3.3%
달 13
 
2.8%
길 13
 
2.8%
Other values (54) 157
34.1%
Common
ValueCountFrequency (%)
128
39.3%
) 31
 
9.5%
( 31
 
9.5%
1 26
 
8.0%
3 18
 
5.5%
2 16
 
4.9%
4 12
 
3.7%
0 11
 
3.4%
9 10
 
3.1%
7 10
 
3.1%
Other values (5) 33
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 461
58.6%
ASCII 326
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
39.3%
) 31
 
9.5%
( 31
 
9.5%
1 26
 
8.0%
3 18
 
5.5%
2 16
 
4.9%
4 12
 
3.7%
0 11
 
3.4%
9 10
 
3.1%
7 10
 
3.1%
Other values (5) 33
 
10.1%
Hangul
ValueCountFrequency (%)
구 63
13.7%
동 45
 
9.8%
대 33
 
7.2%
광 32
 
6.9%
시 32
 
6.9%
역 31
 
6.7%
로 27
 
5.9%
서 15
 
3.3%
달 13
 
2.8%
길 13
 
2.8%
Other values (54) 157
34.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing12
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean636489.3
Minimum41499
Maximum706220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:33.899806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41499
5-th percentile41519.9
Q1701140
median702062.5
Q3703111.25
95-th percentile704291.5
Maximum706220
Range664721
Interquartile range (IQR)1971.25

Descriptive statistics

Standard deviation203483.28
Coefficient of variation (CV)0.31969632
Kurtosis7.0361091
Mean636489.3
Median Absolute Deviation (MAD)922.5
Skewness-2.887691
Sum12729786
Variance4.1405447 × 1010
MonotonicityNot monotonic
2023-12-11T03:49:34.045830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
701835 3
 
9.4%
701140 2
 
6.2%
704190 2
 
6.2%
41499 1
 
3.1%
706220 1
 
3.1%
702290 1
 
3.1%
702862 1
 
3.1%
702814 1
 
3.1%
700842 1
 
3.1%
41521 1
 
3.1%
Other values (6) 6
18.8%
(Missing) 12
37.5%
ValueCountFrequency (%)
41499 1
 
3.1%
41521 1
 
3.1%
700421 1
 
3.1%
700842 1
 
3.1%
701140 2
6.2%
701804 1
 
3.1%
701835 3
9.4%
702290 1
 
3.1%
702814 1
 
3.1%
702817 1
 
3.1%
ValueCountFrequency (%)
706220 1
 
3.1%
704190 2
6.2%
703830 1
 
3.1%
703829 1
 
3.1%
702872 1
 
3.1%
702862 1
 
3.1%
702817 1
 
3.1%
702814 1
 
3.1%
702290 1
 
3.1%
701835 3
9.4%

사업장명
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T03:49:34.264644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.90625
Min length5

Characters and Unicode

Total characters253
Distinct characters63
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

Unique25 ?
Unique (%)78.1%

Sample

1st row케이케이(주)
2nd row(주)제이스오일
3rd row(주)그린에너지
4th row(주)씨에스에너지
5th row(주)태산이앤엘
ValueCountFrequency (%)
주식회사 4
 
11.1%
유진종합(주 3
 
8.3%
주)씨에스에너지 2
 
5.6%
주)동광엔오피 2
 
5.6%
합)풍천산업 1
 
2.8%
케이케이(주 1
 
2.8%
제이엔디에너지 1
 
2.8%
주)대구화공 1
 
2.8%
주)대천 1
 
2.8%
주)대양에너비스 1
 
2.8%
Other values (19) 19
52.8%
2023-12-11T03:49:34.747229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
11.5%
( 24
 
9.5%
) 24
 
9.5%
에 14
 
5.5%
너 12
 
4.7%
지 11
 
4.3%
이 7
 
2.8%
오 7
 
2.8%
사 6
 
2.4%
회 6
 
2.4%
Other values (53) 113
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
79.4%
Open Punctuation 24
 
9.5%
Close Punctuation 24
 
9.5%
Space Separator 4
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
14.4%
에 14
 
7.0%
너 12
 
6.0%
지 11
 
5.5%
이 7
 
3.5%
오 7
 
3.5%
사 6
 
3.0%
회 6
 
3.0%
식 6
 
3.0%
대 6
 
3.0%
Other values (50) 97
48.3%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
79.4%
Common 52
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
14.4%
에 14
 
7.0%
너 12
 
6.0%
지 11
 
5.5%
이 7
 
3.5%
오 7
 
3.5%
사 6
 
3.0%
회 6
 
3.0%
식 6
 
3.0%
대 6
 
3.0%
Other values (50) 97
48.3%
Common
ValueCountFrequency (%)
( 24
46.2%
) 24
46.2%
4
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
79.4%
ASCII 52
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
14.4%
에 14
 
7.0%
너 12
 
6.0%
지 11
 
5.5%
이 7
 
3.5%
오 7
 
3.5%
사 6
 
3.0%
회 6
 
3.0%
식 6
 
3.0%
대 6
 
3.0%
Other values (50) 97
48.3%
ASCII
ValueCountFrequency (%)
( 24
46.2%
) 24
46.2%
4
 
7.7%

최종수정시점
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
20200926193530
32 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200926193530
2nd row20200926193530
3rd row20200926193530
4th row20200926193530
5th row20200926193530

Common Values

ValueCountFrequency (%)
20200926193530 32
100.0%

Length

2023-12-11T03:49:34.930045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:35.086343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200926193530 32
100.0%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
U
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 32
100.0%

Length

2023-12-11T03:49:35.238299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:35.381796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 32
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2020-09-28 02:40:00.0
32 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-28 02:40:00.0
2nd row2020-09-28 02:40:00.0
3rd row2020-09-28 02:40:00.0
4th row2020-09-28 02:40:00.0
5th row2020-09-28 02:40:00.0

Common Values

ValueCountFrequency (%)
2020-09-28 02:40:00.0 32
100.0%

Length

2023-12-11T03:49:35.523925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:35.657511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-28 32
50.0%
02:40:00.0 32
50.0%

업태구분명
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
일반대리점
16 
부생연료판매소
8 
용제대리점
7 
석유대체연료판매업(대리점)
 
1

Length

Max length14
Median length5
Mean length5.78125
Min length5

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반대리점 16
50.0%
부생연료판매소 8
25.0%
용제대리점 7
21.9%
석유대체연료판매업(대리점) 1
 
3.1%

Length

2023-12-11T03:49:35.797735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:49:35.915353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반대리점 16
50.0%
부생연료판매소 8
25.0%
용제대리점 7
21.9%
석유대체연료판매업(대리점 1
 
3.1%

좌표정보(X)
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343626.35
Minimum334784.31
Maximum353567.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:36.045384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum334784.31
5-th percentile336954.22
Q1339103.93
median341758.07
Q3347799.77
95-th percentile353567.65
Maximum353567.65
Range18783.335
Interquartile range (IQR)8695.8377

Descriptive statistics

Standard deviation6033.2897
Coefficient of variation (CV)0.017557704
Kurtosis-1.1045551
Mean343626.35
Median Absolute Deviation (MAD)4022.4672
Skewness0.55074199
Sum10996043
Variance36400584
MonotonicityNot monotonic
2023-12-11T03:49:36.216346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
353567.647703 3
 
9.4%
352529.361473 2
 
6.2%
336954.220302 2
 
6.2%
337583.650232 2
 
6.2%
337735.598515 2
 
6.2%
344499.958074 1
 
3.1%
334784.312331 1
 
3.1%
340331.506308 1
 
3.1%
341138.05014 1
 
3.1%
339402.316871 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
334784.312331 1
3.1%
336954.220302 2
6.2%
337583.650232 2
6.2%
337735.598515 2
6.2%
338557.545117 1
3.1%
339286.061453 1
3.1%
339402.316871 1
3.1%
339632.067059 1
3.1%
339824.10167 1
3.1%
340283.837023 1
3.1%
ValueCountFrequency (%)
353567.647703 3
9.4%
353503.77801 1
 
3.1%
352529.361473 2
6.2%
351513.806342 1
 
3.1%
350264.981377 1
 
3.1%
346978.032909 1
 
3.1%
346665.567307 1
 
3.1%
345484.618217 1
 
3.1%
344860.788884 1
 
3.1%
344499.958074 1
 
3.1%

좌표정보(Y)
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264708.4
Minimum259550.39
Maximum269317.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:36.378410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259550.39
5-th percentile260905.05
Q1262321.2
median265465.28
Q3266795.43
95-th percentile267911.03
Maximum269317.37
Range9766.9774
Interquartile range (IQR)4474.2395

Descriptive statistics

Standard deviation2637.9825
Coefficient of variation (CV)0.0099656166
Kurtosis-1.0461051
Mean264708.4
Median Absolute Deviation (MAD)1953.3847
Skewness-0.35972366
Sum8470668.9
Variance6958951.5
MonotonicityNot monotonic
2023-12-11T03:49:36.571835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
265762.446349 3
 
9.4%
265972.680948 2
 
6.2%
262321.195205 2
 
6.2%
261076.137179 2
 
6.2%
260989.191072 2
 
6.2%
264454.931162 1
 
3.1%
260802.208751 1
 
3.1%
266749.477979 1
 
3.1%
267253.510227 1
 
3.1%
266766.319904 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
259550.390512 1
3.1%
260802.208751 1
3.1%
260989.191072 2
6.2%
261076.137179 2
6.2%
261529.592508 1
3.1%
262321.195205 2
6.2%
262696.787047 1
3.1%
262963.064011 1
3.1%
264454.931162 1
3.1%
264680.12079 1
3.1%
ValueCountFrequency (%)
269317.367956 1
3.1%
268066.479809 1
3.1%
267783.852171 1
3.1%
267627.735239 1
3.1%
267583.821876 1
3.1%
267253.510227 1
3.1%
266885.897761 1
3.1%
266882.779267 1
3.1%
266766.319904 1
3.1%
266749.477979 1
3.1%

자본금
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)41.7%
Missing8
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2.6434525 × 108
Minimum50000000
Maximum1.054286 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-11T03:49:36.716627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile57500000
Q11 × 108
median1 × 108
Q33.25 × 108
95-th percentile9.275 × 108
Maximum1.054286 × 109
Range1.004286 × 109
Interquartile range (IQR)2.25 × 108

Descriptive statistics

Standard deviation2.9225786 × 108
Coefficient of variation (CV)1.1055915
Kurtosis2.0803087
Mean2.6434525 × 108
Median Absolute Deviation (MAD)0
Skewness1.7427733
Sum6.344286 × 109
Variance8.5414657 × 1016
MonotonicityNot monotonic
2023-12-11T03:49:36.866596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
100000000 13
40.6%
300000000 2
 
6.2%
50000000 2
 
6.2%
1054286000 1
 
3.1%
500000000 1
 
3.1%
400000000 1
 
3.1%
490000000 1
 
3.1%
950000000 1
 
3.1%
150000000 1
 
3.1%
800000000 1
 
3.1%
(Missing) 8
25.0%
ValueCountFrequency (%)
50000000 2
 
6.2%
100000000 13
40.6%
150000000 1
 
3.1%
300000000 2
 
6.2%
400000000 1
 
3.1%
490000000 1
 
3.1%
500000000 1
 
3.1%
800000000 1
 
3.1%
950000000 1
 
3.1%
1054286000 1
 
3.1%
ValueCountFrequency (%)
1054286000 1
 
3.1%
950000000 1
 
3.1%
800000000 1
 
3.1%
500000000 1
 
3.1%
490000000 1
 
3.1%
400000000 1
 
3.1%
300000000 2
 
6.2%
150000000 1
 
3.1%
100000000 13
40.6%
50000000 2
 
6.2%

거래처
Categorical

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
기타
11 
S-Oil
4 
현대
4 
GS칼텍스
3 
SK
2 
Other values (7)
8 

Length

Max length7
Median length2
Mean length2.875
Min length1

Unique

Unique6 ?
Unique (%)18.8%

Sample

1st rowSK
2nd row기타
3rd rowS-Oil
4th row기타
5th row현대

Common Values

ValueCountFrequency (%)
기타 11
34.4%
S-Oil 4
 
12.5%
현대 4
 
12.5%
GS칼텍스 3
 
9.4%
SK 2
 
6.2%
- 2
 
6.2%
12 1
 
3.1%
삼성토탈(주) 1
 
3.1%
-- 1
 
3.1%
00 1
 
3.1%
Other values (2) 2
 
6.2%

Length

2023-12-11T03:49:37.022251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 11
34.4%
s-oil 4
 
12.5%
현대 4
 
12.5%
gs칼텍스 3
 
9.4%
3
 
9.4%
sk 2
 
6.2%
12 1
 
3.1%
삼성토탈(주 1
 
3.1%
00 1
 
3.1%
롯데대산 1
 
3.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
01석유및석유대체연료판매업체09_28_07_P627000019786270000650000119780117<NA>1영업/정상7영업개시<NA><NA><NA><NA>534305180<NA>700842대구광역시 중구 동인동2가 25번지 1호대구광역시 중구 국채보상로 642 (동인동2가)700842케이케이(주)20200926193530U2020-09-28 02:40:00.0일반대리점344499.958074264454.9311621054286000SK
12석유및석유대체연료판매업체09_28_07_P627000020106270000650000120100317<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA><NA><NA>704190대구광역시 달서구 장동 18번지 1호대구광역시 달서구 문화회관7길 17 (장동)704190(주)제이스오일20200926193530U2020-09-28 02:40:00.0일반대리점337583.650232261076.137179100000000기타
23석유및석유대체연료판매업체09_28_07_P627000019996270000650000219991221<NA>1영업/정상7영업개시<NA><NA><NA><NA>535535757<NA>703830대구광역시 서구 이현동 42번지 201호대구광역시 서구 문화로 24 (이현동)703830(주)그린에너지20200926193530U2020-09-28 02:40:00.0일반대리점338557.545117264845.913279500000000S-Oil
34석유및석유대체연료판매업체09_28_07_P627000020106270000650000220100520<NA>1영업/정상7영업개시<NA><NA><NA><NA>533549063<NA>702872대구광역시 북구 침산동 901번지 5호대구광역시 북구 노원로동39길 27 (침산동)702872(주)씨에스에너지20200926193530U2020-09-28 02:40:00.0일반대리점342893.269968268066.479809300000000기타
45석유및석유대체연료판매업체09_28_07_P627000020046270000650000120040713<NA>1영업/정상7영업개시<NA><NA><NA><NA>599826338<NA>701804대구광역시 동구 방촌동 1084번지 698호대구광역시 동구 화랑로 371 (방촌동)701804(주)태산이앤엘20200926193530U2020-09-28 02:40:00.0일반대리점350264.981377265449.696286100000000현대
56석유및석유대체연료판매업체09_28_07_P627000020076270000650000120070510<NA>1영업/정상7영업개시<NA><NA><NA><NA>533835155<NA>701140대구광역시 동구 신평동 179번지 5호대구광역시 동구 신덕로 96 (신평동)701140주식회사 태영에너지20200926193530U2020-09-28 02:40:00.0일반대리점352529.361473265972.680948100000000기타
67석유및석유대체연료판매업체09_28_07_P627000020066270000650000120061226<NA>1영업/정상7영업개시<NA><NA><NA><NA>535518851<NA>703829대구광역시 서구 이현동 31번지 1호대구광역시 서구 북비산로 105 (이현동)703829베스트오일(주)20200926193530U2020-09-28 02:40:00.0일반대리점339286.061453265480.866511400000000기타
78석유및석유대체연료판매업체09_28_07_P627000020026270000650000120020516<NA>1영업/정상7영업개시<NA><NA><NA><NA>533414500<NA>702817대구광역시 북구 노원동3가 527번지 2호대구광역시 북구 3공단로 8 (노원동3가)702817(주)신기석유20200926193530U2020-09-28 02:40:00.0일반대리점340283.837023266882.779267100000000S-Oil
89석유및석유대체연료판매업체09_28_07_P627000019786270000650000219780125<NA>1영업/정상7영업개시<NA><NA><NA><NA>534243395<NA>700421대구광역시 중구 동인동1가 357번지대구광역시 중구 동덕로38길 5 (동인동1가)700421흥구석유(주)20200926193530U2020-09-28 02:40:00.0일반대리점344860.788884264680.12079490000000GS칼텍스
910석유및석유대체연료판매업체09_28_07_P627000020196270000670000120191204<NA>1영업/정상7영업개시<NA><NA><NA><NA>539820064<NA>41521대구광역시 북구 검단동 1237번지대구광역시 북구 검단로 222 (검단동)41521(주)신화에너지20200926193530U2020-09-28 02:40:00.0부생연료판매소346978.032909269317.367956<NA>12
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
2223석유및석유대체연료판매업체09_28_07_P627000020066270000650000220061106<NA>3폐업3폐지<NA><NA><NA><NA>535845102<NA>704190대구광역시 달서구 장동 18번지 1호대구광역시 달서구 문화회관7길 17 (장동)<NA>(주)대원에너지20200926193530U2020-09-28 02:40:00.0일반대리점337583.650232261076.137179100000000S-Oil
2324석유및석유대체연료판매업체09_28_07_P627000020076270000650000320071105<NA>3폐업3폐지<NA><NA><NA><NA>537835125<NA>706070대구광역시 수성구 파동 662번지대구광역시 수성구 용학로 4 (파동)<NA>(주)탑오일파이오니어20200926193530U2020-09-28 02:40:00.0일반대리점345484.618217259550.390512100000000현대
2425석유및석유대체연료판매업체09_28_07_P627000020076270000670000120070706<NA>3폐업3폐지<NA><NA><NA><NA>536175182<NA>704190대구광역시 달서구 장동 29번지 5호대구광역시 달서구 문화회관길 245-14 (장동)<NA>진양에너지20200926193530U2020-09-28 02:40:00.0부생연료판매소337735.598515260989.191072<NA>롯데대산
2526석유및석유대체연료판매업체09_28_07_P627000020076270000650000220070531<NA>3폐업3폐지20120321<NA><NA><NA>533117738<NA>702290대구광역시 북구 팔달동 119번지대구광역시 북구 매천로2길 49-16 (팔달동)702290주식회사 경구에너지20200926193530U2020-09-28 02:40:00.0일반대리점339632.067059267583.821876150000000현대
2627석유및석유대체연료판매업체09_28_07_P627000020076270000660000120070515<NA>3폐업3폐지<NA><NA><NA><NA>537930953<NA>706220대구광역시 수성구 시지동 314번지 8호대구광역시 수성구 노변공원로1길 5 (시지동)706220주식회사 태강산업20200926193530U2020-09-28 02:40:00.0용제대리점353503.77801261529.592508100000000기타
2728석유및석유대체연료판매업체09_28_07_P627000020016270000670000120010726<NA>3폐업3폐지<NA><NA><NA><NA>539650982<NA>701835대구광역시 동구 용계동 878번지 185호대구광역시 동구 용계로 87 (용계동)701835유진종합(주)20200926193530U2020-09-28 02:40:00.0부생연료판매소353567.647703265762.446349<NA>삼성화학
2829석유및석유대체연료판매업체09_28_07_P627000019996270000650000119991021<NA>3폐업3폐지<NA><NA><NA><NA>539658051<NA>701140대구광역시 동구 신평동 179번지 5호대구광역시 동구 신덕로 96 (신평동)701140(주)대양에너비스20200926193530U2020-09-28 02:40:00.0일반대리점352529.361473265972.680948800000000현대
2930석유및석유대체연료판매업체09_28_07_P627000020056270000660000120041004<NA>3폐업3폐지<NA><NA><NA><NA>533415252<NA>703825대구광역시 서구 비산7동 2042번지 1호대구광역시 서구 염색공단천로14길 16-1 (비산동)<NA>(주)대천20200926193530U2020-09-28 02:40:00.0용제대리점339402.316871266766.319904100000000기타
3031석유및석유대체연료판매업체09_28_07_P627000020046270000660000120041103<NA>3폐업3폐지<NA><NA><NA><NA>533534700<NA>702815대구광역시 북구 노원3가 237번지 57호대구광역시 북구 3공단로 102-10 (노원동3가)<NA>(주)대구화공20200926193530U2020-09-28 02:40:00.0용제대리점341138.05014267253.510227100000000GS칼텍스
3132석유및석유대체연료판매업체09_28_07_P627000020156270000650000120151124<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 노원동3가 600번지 9호대구광역시 북구 팔달로 39 (노원동3가)41499(주)대일종합에너지20200926193530U2020-09-28 02:40:00.0일반대리점340331.506308266749.477979100000000S-Oil