Overview

Dataset statistics

Number of variables27
Number of observations1904
Missing cells17624
Missing cells (%)34.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory424.1 KiB
Average record size in memory228.1 B

Variable types

Numeric8
DateTime7
Categorical5
Text4
Unsupported3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자본금,거래처
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16110/S/1/datasetView.do

Alerts

인허가취소일자 has 1884 (98.9%) missing valuesMissing
폐업일자 has 1197 (62.9%) missing valuesMissing
휴업시작일자 has 1746 (91.7%) missing valuesMissing
휴업종료일자 has 1746 (91.7%) missing valuesMissing
재개업일자 has 1769 (92.9%) missing valuesMissing
전화번호 has 81 (4.3%) missing valuesMissing
소재지면적 has 999 (52.5%) missing valuesMissing
소재지우편번호 has 1904 (100.0%) missing valuesMissing
도로명주소 has 290 (15.2%) missing valuesMissing
도로명우편번호 has 1807 (94.9%) missing valuesMissing
좌표정보(X) has 191 (10.0%) missing valuesMissing
좌표정보(Y) has 191 (10.0%) missing valuesMissing
자본금 has 1904 (100.0%) missing valuesMissing
거래처 has 1904 (100.0%) missing valuesMissing
관리번호 is highly skewed (γ1 = -29.59872913)Skewed
소재지면적 is highly skewed (γ1 = 27.60488635)Skewed
관리번호 has unique valuesUnique
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
거래처 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:22:02.970871
Analysis finished2024-05-11 06:22:04.569596
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3130745.8
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:04.710955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13070000
median3140000
Q33190000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation72222.219
Coefficient of variation (CV)0.023068695
Kurtosis-1.2458591
Mean3130745.8
Median Absolute Deviation (MAD)70000
Skewness-0.18567939
Sum5.96094 × 109
Variance5.2160489 × 109
MonotonicityNot monotonic
2024-05-11T15:22:05.041133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3180000 168
 
8.8%
3220000 139
 
7.3%
3210000 113
 
5.9%
3070000 100
 
5.3%
3230000 99
 
5.2%
3150000 96
 
5.0%
3030000 90
 
4.7%
3160000 89
 
4.7%
3040000 86
 
4.5%
3110000 84
 
4.4%
Other values (15) 840
44.1%
ValueCountFrequency (%)
3000000 51
2.7%
3010000 46
2.4%
3020000 61
3.2%
3030000 90
4.7%
3040000 86
4.5%
3050000 64
3.4%
3060000 67
3.5%
3070000 100
5.3%
3080000 57
3.0%
3090000 35
 
1.8%
ValueCountFrequency (%)
3240000 69
3.6%
3230000 99
5.2%
3220000 139
7.3%
3210000 113
5.9%
3200000 40
 
2.1%
3190000 59
 
3.1%
3180000 168
8.8%
3170000 40
 
2.1%
3160000 89
4.7%
3150000 96
5.0%

관리번호
Real number (ℝ)

SKEWED  UNIQUE 

Distinct1904
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9929377 × 1018
Minimum2
Maximum2.024313 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:05.302551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1.976302 × 1018
Q11.989322 × 1018
median1.994322 × 1018
Q32.003305 × 1018
95-th percentile2.008322 × 1018
Maximum2.024313 × 1018
Range2.024313 × 1018
Interquartile range (IQR)1.3983 × 1016

Descriptive statistics

Standard deviation6.4044585 × 1016
Coefficient of variation (CV)0.032135769
Kurtosis900.14958
Mean1.9929377 × 1018
Median Absolute Deviation (MAD)7.9839992 × 1015
Skewness-29.598729
Sum-5.4759443 × 1018
Variance4.1017089 × 1033
MonotonicityNot monotonic
2024-05-11T15:22:05.609077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1993313011801500022 1
 
0.1%
1993318007601500005 1
 
0.1%
2003318011701200001 1
 
0.1%
1997322008301500099 1
 
0.1%
2010318011701500058 1
 
0.1%
2001318007601500006 1
 
0.1%
1997322008301500101 1
 
0.1%
2008318011701200001 1
 
0.1%
1976318007601500002 1
 
0.1%
2003318019001200042 1
 
0.1%
Other values (1894) 1894
99.5%
ValueCountFrequency (%)
2 1
0.1%
92315015101200002 1
0.1%
1959300007601500001 1
0.1%
1960316007101200014 1
0.1%
1968300007601200001 1
0.1%
1968300007601200002 1
0.1%
1968307009901200001 1
0.1%
1968307009901200002 1
0.1%
1968307009901200003 1
0.1%
1968309008701500001 1
0.1%
ValueCountFrequency (%)
2024313026601500001 1
0.1%
2023322017601200001 1
0.1%
2022315020401500001 1
0.1%
2021323024801500001 1
0.1%
2021315020401500002 1
0.1%
2021315020401500001 1
0.1%
2020318022101200001 1
0.1%
2020315020401500001 1
0.1%
2020310017301200002 1
0.1%
2020310017301200001 1
0.1%

인허가일자
Date

Distinct1295
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum1959-09-10 00:00:00
Maximum2024-01-29 00:00:00
2024-05-11T15:22:05.891545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:06.184014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing1884
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean20142664
Minimum20000725
Maximum20221107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:06.442052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000725
5-th percentile20086222
Q120115604
median20150704
Q320172787
95-th percentile20210676
Maximum20221107
Range220382
Interquartile range (IQR)57183

Descriptive statistics

Standard deviation49497.53
Coefficient of variation (CV)0.0024573478
Kurtosis2.4185833
Mean20142664
Median Absolute Deviation (MAD)29769.5
Skewness-1.0909011
Sum4.0285328 × 108
Variance2.4500055 × 109
MonotonicityNot monotonic
2024-05-11T15:22:06.647619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20150114 2
 
0.1%
20180718 1
 
0.1%
20221107 1
 
0.1%
20151124 1
 
0.1%
20091231 1
 
0.1%
20210127 1
 
0.1%
20120530 1
 
0.1%
20150828 1
 
0.1%
20170307 1
 
0.1%
20180228 1
 
0.1%
Other values (9) 9
 
0.5%
(Missing) 1884
98.9%
ValueCountFrequency (%)
20000725 1
0.1%
20090722 1
0.1%
20091231 1
0.1%
20100712 1
0.1%
20100827 1
0.1%
20120530 1
0.1%
20141007 1
0.1%
20150114 2
0.1%
20150701 1
0.1%
20150706 1
0.1%
ValueCountFrequency (%)
20221107 1
0.1%
20210127 1
0.1%
20190422 1
0.1%
20180718 1
0.1%
20180228 1
0.1%
20170307 1
0.1%
20151124 1
0.1%
20151028 1
0.1%
20150828 1
0.1%
20150706 1
0.1%

영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
3
1233 
1
619 
4
 
38
2
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 1233
64.8%
1 619
32.5%
4 38
 
2.0%
2 14
 
0.7%

Length

2024-05-11T15:22:06.862306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:07.053870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1233
64.8%
1 619
32.5%
4 38
 
2.0%
2 14
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
폐업
1233 
영업/정상
619 
취소/말소/만료/정지/중지
 
38
휴업
 
14

Length

Max length14
Median length2
Mean length3.2148109
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 1233
64.8%
영업/정상 619
32.5%
취소/말소/만료/정지/중지 38
 
2.0%
휴업 14
 
0.7%

Length

2024-05-11T15:22:07.258001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:07.470837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1233
64.8%
영업/정상 619
32.5%
취소/말소/만료/정지/중지 38
 
2.0%
휴업 14
 
0.7%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0162815
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:07.638120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5432962
Coefficient of variation (CV)0.51165523
Kurtosis1.1564623
Mean3.0162815
Median Absolute Deviation (MAD)0
Skewness1.040925
Sum5743
Variance2.3817631
MonotonicityNot monotonic
2024-05-11T15:22:07.828301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 1233
64.8%
1 386
 
20.3%
6 119
 
6.2%
7 114
 
6.0%
2 38
 
2.0%
5 14
 
0.7%
ValueCountFrequency (%)
1 386
 
20.3%
2 38
 
2.0%
3 1233
64.8%
5 14
 
0.7%
6 119
 
6.2%
7 114
 
6.0%
ValueCountFrequency (%)
7 114
 
6.0%
6 119
 
6.2%
5 14
 
0.7%
3 1233
64.8%
2 38
 
2.0%
1 386
 
20.3%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
폐지
1233 
신규등록
386 
휴지사업재개
 
119
영업개시
 
114
등록취소
 
38

Length

Max length6
Median length2
Mean length2.8298319
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴지사업재개
2nd row폐지
3rd row신규등록
4th row휴지사업재개
5th row신규등록

Common Values

ValueCountFrequency (%)
폐지 1233
64.8%
신규등록 386
 
20.3%
휴지사업재개 119
 
6.2%
영업개시 114
 
6.0%
등록취소 38
 
2.0%
사업휴지 14
 
0.7%

Length

2024-05-11T15:22:08.123462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:08.350505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 1233
64.8%
신규등록 386
 
20.3%
휴지사업재개 119
 
6.2%
영업개시 114
 
6.0%
등록취소 38
 
2.0%
사업휴지 14
 
0.7%

폐업일자
Date

MISSING 

Distinct568
Distinct (%)80.3%
Missing1197
Missing (%)62.9%
Memory size15.0 KiB
Minimum1983-02-02 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:22:08.579031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:08.863022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct152
Distinct (%)96.2%
Missing1746
Missing (%)91.7%
Memory size15.0 KiB
Minimum2007-11-01 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:22:09.131542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:09.394532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct130
Distinct (%)82.3%
Missing1746
Missing (%)91.7%
Memory size15.0 KiB
Minimum2007-12-15 00:00:00
Maximum2025-04-30 00:00:00
2024-05-11T15:22:09.593242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:09.868981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Date

MISSING 

Distinct132
Distinct (%)97.8%
Missing1769
Missing (%)92.9%
Memory size15.0 KiB
Minimum2007-12-14 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T15:22:10.119754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:10.438924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct1717
Distinct (%)94.2%
Missing81
Missing (%)4.3%
Memory size15.0 KiB
2024-05-11T15:22:10.921230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.27537
Min length1

Characters and Unicode

Total characters18732
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1630 ?
Unique (%)89.4%

Sample

1st row02 373 3314
2nd row02 8615189
3rd row000204177111
4th row02 4527723
5th row02 26606432
ValueCountFrequency (%)
02 1081
32.9%
02432 7
 
0.2%
926 6
 
0.2%
8448465 5
 
0.2%
8321700 5
 
0.2%
762 5
 
0.2%
336 5
 
0.2%
793 5
 
0.2%
355 5
 
0.2%
913 5
 
0.2%
Other values (1898) 2152
65.6%
2024-05-11T15:22:11.618959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3140
16.8%
0 2991
16.0%
1864
10.0%
5 1575
8.4%
4 1477
7.9%
3 1405
7.5%
1 1399
7.5%
6 1341
7.2%
8 1177
 
6.3%
7 1130
 
6.0%
Other values (2) 1233
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16729
89.3%
Space Separator 1864
 
10.0%
Dash Punctuation 139
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3140
18.8%
0 2991
17.9%
5 1575
9.4%
4 1477
8.8%
3 1405
8.4%
1 1399
8.4%
6 1341
8.0%
8 1177
 
7.0%
7 1130
 
6.8%
9 1094
 
6.5%
Space Separator
ValueCountFrequency (%)
1864
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3140
16.8%
0 2991
16.0%
1864
10.0%
5 1575
8.4%
4 1477
7.9%
3 1405
7.5%
1 1399
7.5%
6 1341
7.2%
8 1177
 
6.3%
7 1130
 
6.0%
Other values (2) 1233
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3140
16.8%
0 2991
16.0%
1864
10.0%
5 1575
8.4%
4 1477
7.9%
3 1405
7.5%
1 1399
7.5%
6 1341
7.2%
8 1177
 
6.3%
7 1130
 
6.0%
Other values (2) 1233
 
6.6%

소재지면적
Real number (ℝ)

MISSING  SKEWED 

Distinct744
Distinct (%)82.2%
Missing999
Missing (%)52.5%
Infinite0
Infinite (%)0.0%
Mean1024.2337
Minimum0
Maximum92202
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:11.885430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile274.652
Q1567.6
median796
Q31116
95-th percentile1905
Maximum92202
Range92202
Interquartile range (IQR)548.4

Descriptive statistics

Standard deviation3126.4111
Coefficient of variation (CV)3.0524391
Kurtosis802.90343
Mean1024.2337
Median Absolute Deviation (MAD)261
Skewness27.604886
Sum926931.53
Variance9774446.6
MonotonicityNot monotonic
2024-05-11T15:22:12.171700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500.0 7
 
0.4%
661.0 6
 
0.3%
660.1 5
 
0.3%
100.0 5
 
0.3%
1131.0 5
 
0.3%
1318.0 4
 
0.2%
1000.0 4
 
0.2%
930.0 4
 
0.2%
512.0 3
 
0.2%
495.0 3
 
0.2%
Other values (734) 859
45.1%
(Missing) 999
52.5%
ValueCountFrequency (%)
0.0 2
 
0.1%
20.0 1
 
0.1%
21.6 2
 
0.1%
26.0 2
 
0.1%
30.0 2
 
0.1%
50.0 1
 
0.1%
60.0 2
 
0.1%
81.92 1
 
0.1%
100.0 5
0.3%
102.0 1
 
0.1%
ValueCountFrequency (%)
92202.0 1
0.1%
13845.0 1
0.1%
8290.0 1
0.1%
7759.5 1
0.1%
3885.0 1
0.1%
3777.7 1
0.1%
3243.0 2
0.1%
3171.3 1
0.1%
3156.0 1
0.1%
3086.8 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1904
Missing (%)100.0%
Memory size16.9 KiB

지번주소
Text

Distinct1792
Distinct (%)94.7%
Missing11
Missing (%)0.6%
Memory size15.0 KiB
2024-05-11T15:22:12.689520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length21.899102
Min length13

Characters and Unicode

Total characters41455
Distinct characters343
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1707 ?
Unique (%)90.2%

Sample

1st row서울특별시 마포구 성산동 200-4
2nd row서울특별시 강서구 등촌동 651-13
3rd row서울특별시 동작구 상도동 355-20
4th row서울특별시 구로구 구로동 100-10
5th row서울특별시 송파구 석촌동 295
ValueCountFrequency (%)
서울특별시 1881
 
23.1%
영등포구 164
 
2.0%
강남구 142
 
1.7%
서초구 114
 
1.4%
성북구 101
 
1.2%
송파구 98
 
1.2%
강서구 93
 
1.1%
구로구 87
 
1.1%
성동구 87
 
1.1%
광진구 81
 
1.0%
Other values (2398) 5285
65.0%
2024-05-11T15:22:13.569149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7627
18.4%
동 2218
 
5.4%
서 2198
 
5.3%
구 2042
 
4.9%
시 1928
 
4.7%
별 1882
 
4.5%
특 1881
 
4.5%
울 1881
 
4.5%
1 1850
 
4.5%
- 1707
 
4.1%
Other values (333) 16241
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22866
55.2%
Decimal Number 9056
 
21.8%
Space Separator 7627
 
18.4%
Dash Punctuation 1707
 
4.1%
Uppercase Letter 65
 
0.2%
Other Punctuation 58
 
0.1%
Close Punctuation 33
 
0.1%
Open Punctuation 33
 
0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2218
 
9.7%
서 2198
 
9.6%
구 2042
 
8.9%
시 1928
 
8.4%
별 1882
 
8.2%
특 1881
 
8.2%
울 1881
 
8.2%
강 381
 
1.7%
성 283
 
1.2%
포 279
 
1.2%
Other values (288) 7893
34.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
16.9%
A 7
10.8%
B 7
10.8%
K 7
10.8%
C 5
7.7%
G 4
 
6.2%
E 4
 
6.2%
D 4
 
6.2%
O 3
 
4.6%
R 3
 
4.6%
Other values (8) 10
15.4%
Decimal Number
ValueCountFrequency (%)
1 1850
20.4%
2 1276
14.1%
3 977
10.8%
4 858
9.5%
5 814
9.0%
6 789
8.7%
0 699
 
7.7%
7 690
 
7.6%
8 564
 
6.2%
9 539
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
l 1
11.1%
k 1
11.1%
s 1
11.1%
r 1
11.1%
t 1
11.1%
n 1
11.1%
c 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 44
75.9%
. 10
 
17.2%
@ 2
 
3.4%
/ 2
 
3.4%
Space Separator
ValueCountFrequency (%)
7627
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1707
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22866
55.2%
Common 18515
44.7%
Latin 74
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2218
 
9.7%
서 2198
 
9.6%
구 2042
 
8.9%
시 1928
 
8.4%
별 1882
 
8.2%
특 1881
 
8.2%
울 1881
 
8.2%
강 381
 
1.7%
성 283
 
1.2%
포 279
 
1.2%
Other values (288) 7893
34.5%
Latin
ValueCountFrequency (%)
S 11
14.9%
A 7
 
9.5%
B 7
 
9.5%
K 7
 
9.5%
C 5
 
6.8%
G 4
 
5.4%
E 4
 
5.4%
D 4
 
5.4%
O 3
 
4.1%
R 3
 
4.1%
Other values (16) 19
25.7%
Common
ValueCountFrequency (%)
7627
41.2%
1 1850
 
10.0%
- 1707
 
9.2%
2 1276
 
6.9%
3 977
 
5.3%
4 858
 
4.6%
5 814
 
4.4%
6 789
 
4.3%
0 699
 
3.8%
7 690
 
3.7%
Other values (9) 1228
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22866
55.2%
ASCII 18589
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7627
41.0%
1 1850
 
10.0%
- 1707
 
9.2%
2 1276
 
6.9%
3 977
 
5.3%
4 858
 
4.6%
5 814
 
4.4%
6 789
 
4.2%
0 699
 
3.8%
7 690
 
3.7%
Other values (35) 1302
 
7.0%
Hangul
ValueCountFrequency (%)
동 2218
 
9.7%
서 2198
 
9.6%
구 2042
 
8.9%
시 1928
 
8.4%
별 1882
 
8.2%
특 1881
 
8.2%
울 1881
 
8.2%
강 381
 
1.7%
성 283
 
1.2%
포 279
 
1.2%
Other values (288) 7893
34.5%

도로명주소
Text

MISSING 

Distinct1515
Distinct (%)93.9%
Missing290
Missing (%)15.2%
Memory size15.0 KiB
2024-05-11T15:22:14.486464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length25.878563
Min length18

Characters and Unicode

Total characters41768
Distinct characters374
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1433 ?
Unique (%)88.8%

Sample

1st row서울특별시 마포구 월드컵북로 170 (성산동)
2nd row서울특별시 강서구 공항대로55길 9 (등촌동)
3rd row서울특별시 동작구 성대로1길 17 (상도동)
4th row서울특별시 구로구 구로중앙로 76 (구로동)
5th row서울특별시 송파구 송파대로 397 (석촌동)
ValueCountFrequency (%)
서울특별시 1606
 
19.4%
강남구 125
 
1.5%
영등포구 124
 
1.5%
서초구 104
 
1.3%
송파구 90
 
1.1%
성북구 87
 
1.0%
강서구 85
 
1.0%
성동구 78
 
0.9%
광진구 72
 
0.9%
양천구 69
 
0.8%
Other values (1993) 5850
70.6%
2024-05-11T15:22:15.946503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7112
 
17.0%
동 2015
 
4.8%
서 1942
 
4.6%
구 1746
 
4.2%
로 1734
 
4.2%
시 1667
 
4.0%
) 1618
 
3.9%
( 1617
 
3.9%
울 1609
 
3.9%
별 1607
 
3.8%
Other values (364) 19101
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25267
60.5%
Space Separator 7112
 
17.0%
Decimal Number 5727
 
13.7%
Close Punctuation 1618
 
3.9%
Open Punctuation 1617
 
3.9%
Other Punctuation 214
 
0.5%
Dash Punctuation 150
 
0.4%
Uppercase Letter 57
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2015
 
8.0%
서 1942
 
7.7%
구 1746
 
6.9%
로 1734
 
6.9%
시 1667
 
6.6%
울 1609
 
6.4%
별 1607
 
6.4%
특 1606
 
6.4%
길 591
 
2.3%
대 419
 
1.7%
Other values (324) 10331
40.9%
Uppercase Letter
ValueCountFrequency (%)
S 10
17.5%
B 6
10.5%
K 6
10.5%
C 5
8.8%
A 4
 
7.0%
G 4
 
7.0%
E 4
 
7.0%
R 3
 
5.3%
O 3
 
5.3%
D 2
 
3.5%
Other values (8) 10
17.5%
Decimal Number
ValueCountFrequency (%)
1 1192
20.8%
2 862
15.1%
3 649
11.3%
4 589
10.3%
5 490
8.6%
6 439
 
7.7%
0 428
 
7.5%
7 408
 
7.1%
8 355
 
6.2%
9 315
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
t 1
16.7%
n 1
16.7%
c 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 211
98.6%
@ 2
 
0.9%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
7112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1618
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1617
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25267
60.5%
Common 16438
39.4%
Latin 63
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2015
 
8.0%
서 1942
 
7.7%
구 1746
 
6.9%
로 1734
 
6.9%
시 1667
 
6.6%
울 1609
 
6.4%
별 1607
 
6.4%
특 1606
 
6.4%
길 591
 
2.3%
대 419
 
1.7%
Other values (324) 10331
40.9%
Latin
ValueCountFrequency (%)
S 10
15.9%
B 6
 
9.5%
K 6
 
9.5%
C 5
 
7.9%
A 4
 
6.3%
G 4
 
6.3%
E 4
 
6.3%
R 3
 
4.8%
O 3
 
4.8%
D 2
 
3.2%
Other values (13) 16
25.4%
Common
ValueCountFrequency (%)
7112
43.3%
) 1618
 
9.8%
( 1617
 
9.8%
1 1192
 
7.3%
2 862
 
5.2%
3 649
 
3.9%
4 589
 
3.6%
5 490
 
3.0%
6 439
 
2.7%
0 428
 
2.6%
Other values (7) 1442
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25267
60.5%
ASCII 16501
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7112
43.1%
) 1618
 
9.8%
( 1617
 
9.8%
1 1192
 
7.2%
2 862
 
5.2%
3 649
 
3.9%
4 589
 
3.6%
5 490
 
3.0%
6 439
 
2.7%
0 428
 
2.6%
Other values (30) 1505
 
9.1%
Hangul
ValueCountFrequency (%)
동 2015
 
8.0%
서 1942
 
7.7%
구 1746
 
6.9%
로 1734
 
6.9%
시 1667
 
6.6%
울 1609
 
6.4%
별 1607
 
6.4%
특 1606
 
6.4%
길 591
 
2.3%
대 419
 
1.7%
Other values (324) 10331
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)94.8%
Missing1807
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean6326.9794
Minimum1115
Maximum133849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:16.215239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1115
5-th percentile2317.4
Q13647
median4702
Q37262
95-th percentile7936.6
Maximum133849
Range132734
Interquartile range (IQR)3615

Descriptive statistics

Standard deviation13232.973
Coefficient of variation (CV)2.0915151
Kurtosis92.53441
Mean6326.9794
Median Absolute Deviation (MAD)1570
Skewness9.5109876
Sum613717
Variance1.7511158 × 108
MonotonicityNot monotonic
2024-05-11T15:22:16.517691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3633 2
 
0.1%
7573 2
 
0.1%
1776 2
 
0.1%
7505 2
 
0.1%
3937 2
 
0.1%
2602 1
 
0.1%
7646 1
 
0.1%
7433 1
 
0.1%
8353 1
 
0.1%
8269 1
 
0.1%
Other values (82) 82
 
4.3%
(Missing) 1807
94.9%
ValueCountFrequency (%)
1115 1
0.1%
1776 2
0.1%
1817 1
0.1%
1887 1
0.1%
2425 1
0.1%
2494 1
0.1%
2503 1
0.1%
2539 1
0.1%
2550 1
0.1%
2578 1
0.1%
ValueCountFrequency (%)
133849 1
0.1%
8838 1
0.1%
8353 1
0.1%
8269 1
0.1%
8055 1
0.1%
7907 1
0.1%
7789 1
0.1%
7781 1
0.1%
7780 1
0.1%
7715 1
0.1%

사업장명
Text

Distinct1605
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2024-05-11T15:22:17.127332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length7.9579832
Min length2

Characters and Unicode

Total characters15152
Distinct characters459
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1436 ?
Unique (%)75.4%

Sample

1st row주식회사타이거통상 월드컵주유소
2nd rowSK그린에너지
3rd row남양에너지
4th row(주)한미석유 구로그린주유소
5th row에이치디현대오일뱅크(주)직영 잠실셀프주유소
ValueCountFrequency (%)
주유소 33
 
1.4%
에이치디현대오일뱅크(주)직영 32
 
1.3%
직영 30
 
1.3%
주식회사 29
 
1.2%
에이치디현대오일뱅크(주 15
 
0.6%
지에스칼텍스(주 14
 
0.6%
석유 13
 
0.5%
sk네트웍스(주 12
 
0.5%
현대오일뱅크(주)직영 12
 
0.5%
제일석유 11
 
0.5%
Other values (1728) 2178
91.6%
2024-05-11T15:22:17.987538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1587
 
10.5%
유 1559
 
10.3%
소 902
 
6.0%
) 648
 
4.3%
( 647
 
4.3%
석 563
 
3.7%
498
 
3.3%
에 408
 
2.7%
지 353
 
2.3%
대 327
 
2.2%
Other values (449) 7660
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12979
85.7%
Close Punctuation 648
 
4.3%
Open Punctuation 647
 
4.3%
Space Separator 498
 
3.3%
Uppercase Letter 291
 
1.9%
Lowercase Letter 30
 
0.2%
Decimal Number 29
 
0.2%
Other Punctuation 17
 
0.1%
Other Symbol 7
 
< 0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1587
 
12.2%
유 1559
 
12.0%
소 902
 
6.9%
석 563
 
4.3%
에 408
 
3.1%
지 353
 
2.7%
대 327
 
2.5%
너 249
 
1.9%
동 234
 
1.8%
스 231
 
1.8%
Other values (400) 6566
50.6%
Uppercase Letter
ValueCountFrequency (%)
S 104
35.7%
K 103
35.4%
G 16
 
5.5%
L 12
 
4.1%
C 9
 
3.1%
H 8
 
2.7%
O 7
 
2.4%
E 6
 
2.1%
M 6
 
2.1%
R 3
 
1.0%
Other values (10) 17
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
s 9
30.0%
k 8
26.7%
d 2
 
6.7%
i 2
 
6.7%
r 1
 
3.3%
a 1
 
3.3%
n 1
 
3.3%
g 1
 
3.3%
c 1
 
3.3%
e 1
 
3.3%
Other values (3) 3
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 13
44.8%
1 8
27.6%
3 4
 
13.8%
5 2
 
6.9%
9 1
 
3.4%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 8
47.1%
. 5
29.4%
& 2
 
11.8%
: 1
 
5.9%
? 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 648
100.0%
Open Punctuation
ValueCountFrequency (%)
( 647
100.0%
Space Separator
ValueCountFrequency (%)
498
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12986
85.7%
Common 1845
 
12.2%
Latin 321
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1587
 
12.2%
유 1559
 
12.0%
소 902
 
6.9%
석 563
 
4.3%
에 408
 
3.1%
지 353
 
2.7%
대 327
 
2.5%
너 249
 
1.9%
동 234
 
1.8%
스 231
 
1.8%
Other values (401) 6573
50.6%
Latin
ValueCountFrequency (%)
S 104
32.4%
K 103
32.1%
G 16
 
5.0%
L 12
 
3.7%
s 9
 
2.8%
C 9
 
2.8%
k 8
 
2.5%
H 8
 
2.5%
O 7
 
2.2%
E 6
 
1.9%
Other values (23) 39
 
12.1%
Common
ValueCountFrequency (%)
) 648
35.1%
( 647
35.1%
498
27.0%
2 13
 
0.7%
, 8
 
0.4%
1 8
 
0.4%
- 6
 
0.3%
. 5
 
0.3%
3 4
 
0.2%
& 2
 
0.1%
Other values (5) 6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12979
85.7%
ASCII 2166
 
14.3%
None 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1587
 
12.2%
유 1559
 
12.0%
소 902
 
6.9%
석 563
 
4.3%
에 408
 
3.1%
지 353
 
2.7%
대 327
 
2.5%
너 249
 
1.9%
동 234
 
1.8%
스 231
 
1.8%
Other values (400) 6566
50.6%
ASCII
ValueCountFrequency (%)
) 648
29.9%
( 647
29.9%
498
23.0%
S 104
 
4.8%
K 103
 
4.8%
G 16
 
0.7%
2 13
 
0.6%
L 12
 
0.6%
s 9
 
0.4%
C 9
 
0.4%
Other values (38) 107
 
4.9%
None
ValueCountFrequency (%)
㈜ 7
100.0%

최종수정일자
Date

Distinct1824
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2001-01-02 00:00:00
Maximum2024-05-09 16:09:14
2024-05-11T15:22:18.281152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:18.605883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
I
1192 
U
712 

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 (%)
I 1192
62.6%
U 712
37.4%

Length

2024-05-11T15:22:18.892752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:19.087817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1192
62.6%
u 712
37.4%

데이터갱신일자
Date

Distinct364
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:22:19.310966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:19.562010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
주유소
974 
일반판매소
699 
용제판매소
212 
항공유판매소
 
19

Length

Max length6
Median length3
Mean length3.9868697
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 974
51.2%
일반판매소 699
36.7%
용제판매소 212
 
11.1%
항공유판매소 19
 
1.0%

Length

2024-05-11T15:22:19.853362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:20.079394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 974
51.2%
일반판매소 699
36.7%
용제판매소 212
 
11.1%
항공유판매소 19
 
1.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1542
Distinct (%)90.0%
Missing191
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean199103.72
Minimum179468.01
Maximum215143.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:20.340702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179468.01
5-th percentile185897.68
Q1192433.74
median200883.86
Q3204946.57
95-th percentile211112.1
Maximum215143.44
Range35675.426
Interquartile range (IQR)12512.832

Descriptive statistics

Standard deviation7705.7817
Coefficient of variation (CV)0.038702349
Kurtosis-0.94362521
Mean199103.72
Median Absolute Deviation (MAD)6076.1442
Skewness-0.21556697
Sum3.4106467 × 108
Variance59379072
MonotonicityNot monotonic
2024-05-11T15:22:20.652106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200883.86353074 5
 
0.3%
192887.789114176 4
 
0.2%
204047.447898153 4
 
0.2%
191228.43530972 4
 
0.2%
191226.287379467 4
 
0.2%
191817.199365771 4
 
0.2%
192593.404916499 4
 
0.2%
190642.462875524 3
 
0.2%
199588.293204999 3
 
0.2%
205649.042560025 3
 
0.2%
Other values (1532) 1675
88.0%
(Missing) 191
 
10.0%
ValueCountFrequency (%)
179468.0135109 1
0.1%
179470.556764127 1
0.1%
181730.49281718 2
0.1%
182041.111739 1
0.1%
182466.194258488 1
0.1%
182524.823835629 1
0.1%
182649.013704222 1
0.1%
182739.232010141 1
0.1%
182749.273937321 1
0.1%
182797.996662976 1
0.1%
ValueCountFrequency (%)
215143.439612 2
0.1%
214974.262562017 1
0.1%
213712.175713909 1
0.1%
213709.394875444 1
0.1%
213671.045593053 1
0.1%
213668.126022774 2
0.1%
213630.802497835 1
0.1%
213621.707344705 1
0.1%
213163.794030231 1
0.1%
213151.083032561 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1542
Distinct (%)90.0%
Missing191
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean448887.68
Minimum185122.95
Maximum465113.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2024-05-11T15:22:20.965958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185122.95
5-th percentile441449.41
Q1444602.71
median448712.01
Q3452698.93
95-th percentile458800.83
Maximum465113.66
Range279990.71
Interquartile range (IQR)8096.2141

Descriptive statistics

Standard deviation8646.7584
Coefficient of variation (CV)0.019262633
Kurtosis509.68191
Mean448887.68
Median Absolute Deviation (MAD)4092.7311
Skewness-16.986691
Sum7.6894459 × 108
Variance74766431
MonotonicityNot monotonic
2024-05-11T15:22:21.257518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442666.82081015 5
 
0.3%
444303.407621955 4
 
0.2%
449899.558971221 4
 
0.2%
452979.040751407 4
 
0.2%
437914.06299827 4
 
0.2%
445315.304547129 4
 
0.2%
445902.768408138 4
 
0.2%
448377.913463728 3
 
0.2%
441210.409560341 3
 
0.2%
449092.184015189 3
 
0.2%
Other values (1532) 1675
88.0%
(Missing) 191
 
10.0%
ValueCountFrequency (%)
185122.945313 1
 
0.1%
367351.46398 1
 
0.1%
423824.861537132 1
 
0.1%
424022.556955428 1
 
0.1%
429813.727230372 1
 
0.1%
433930.987752146 1
 
0.1%
437232.672587305 1
 
0.1%
437717.289672145 1
 
0.1%
437914.06299827 4
0.2%
438040.641203477 1
 
0.1%
ValueCountFrequency (%)
465113.655837614 1
0.1%
464917.553024908 1
0.1%
464665.364497122 1
0.1%
464065.255438814 1
0.1%
463796.381217133 1
0.1%
463645.713588537 1
0.1%
463641.030222332 1
0.1%
463563.062274237 1
0.1%
463560.420620115 1
0.1%
463547.488476218 1
0.1%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1904
Missing (%)100.0%
Memory size16.9 KiB

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1904
Missing (%)100.0%
Memory size16.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
0313000019933130118015000221993-11-29<NA>1영업/정상6휴지사업재개<NA><NA><NA>2023-12-1402 373 3314347.0<NA>서울특별시 마포구 성산동 200-4서울특별시 마포구 월드컵북로 170 (성산동)<NA>주식회사타이거통상 월드컵주유소2023-12-18 14:54:30U2022-11-01 22:00:00.0주유소191961.827164451692.303107<NA><NA>
1315000020083150100012199112008-04-04<NA>3폐업3폐지2023-03-31<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 651-13서울특별시 강서구 공항대로55길 9 (등촌동)<NA>SK그린에너지2023-03-31 10:55:00U2022-12-04 00:02:00.0일반판매소187613.276168450158.253529<NA><NA>
2319000020193190177012000012019-06-26<NA>1영업/정상1신규등록<NA><NA><NA><NA><NA>26.0<NA>서울특별시 동작구 상도동 355-20서울특별시 동작구 성대로1길 17 (상도동)6959남양에너지2023-03-10 17:20:58U2022-12-02 23:02:00.0일반판매소194076.692856444318.185903<NA><NA>
3316000019933160071015000361993-07-24<NA>1영업/정상6휴지사업재개<NA>2012-02-212012-08-20<NA>02 86151891056.6<NA>서울특별시 구로구 구로동 100-10서울특별시 구로구 구로중앙로 76 (구로동)<NA>(주)한미석유 구로그린주유소2023-03-27 16:41:48U2022-12-02 22:09:00.0주유소190065.327992443794.95806<NA><NA>
4323000019923230131015000021992-12-21<NA>1영업/정상1신규등록<NA><NA><NA><NA>000204177111575.9<NA>서울특별시 송파구 석촌동 295서울특별시 송파구 송파대로 397 (석촌동)<NA>에이치디현대오일뱅크(주)직영 잠실셀프주유소2023-04-07 10:02:11U2022-12-04 00:09:00.0주유소209565.447766444507.063566<NA><NA>
5304000019923040073015000171992-04-20<NA>1영업/정상6휴지사업재개<NA>2014-07-012014-07-312014-07-3002 45277232692.0<NA>서울특별시 광진구 능동 236-4 236-5, 236-24서울특별시 광진구 천호대로 584 (능동)<NA>에이치디현대오일뱅크(주)직영 능동주유소2023-04-07 11:14:29U2022-12-04 00:09:00.0주유소207216.133825450367.951562<NA><NA>
6315000019893150100012000011989-04-07<NA>3폐업3폐지2016-04-14<NA><NA><NA>02 26606432<NA><NA>서울특별시 강서구 방화동 499-1서울특별시 강서구 양천로 13 (방화동)<NA>한국공항(주)2023-04-19 10:40:41U2022-12-03 22:02:00.0항공유판매소182749.273937452356.969192<NA><NA>
7303000019913030132015000141991-08-29<NA>1영업/정상6휴지사업재개<NA><NA><NA>2020-08-104677240719.0<NA>서울특별시 성동구 성수동1가 33-96서울특별시 성동구 뚝섬로 352 (성수동1가)<NA>SK에너지(주) 성수주유소2023-12-29 14:39:55U2022-11-01 21:01:00.0주유소204343.80265448635.473098<NA><NA>
8315000020033150074012000012003-10-30<NA>3폐업3폐지2023-03-31<NA><NA><NA>02 2644001<NA><NA>서울특별시 강서구 화곡동 471-9서울특별시 강서구 등촌로13바길 46 (화곡동)<NA>OK석유2023-03-31 10:49:26U2022-12-04 00:02:00.0일반판매소187323.429229448197.575401<NA><NA>
9315000020023150074012241012002-10-28<NA>3폐업3폐지2023-03-31<NA><NA><NA>026941947<NA><NA>서울특별시 강서구 화곡동 342-25서울특별시 강서구 강서로12길 8-29 (화곡동)<NA>경동석유2023-03-31 10:46:41U2022-12-04 00:02:00.0일반판매소186566.134716447667.884671<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
18943130000198131301180120000119811027<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 719 7788<NA><NA>서울특별시 마포구 염리동 488서울특별시 마포구 숭문16길 28 (염리동)<NA>우신석유상사2022-05-23 17:26:48U2021-12-04 22:05:00.0일반판매소195344.404826450384.565679<NA><NA>
18953100000200131000960150091820010324<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 9743838317.0<NA>서울특별시 노원구 하계동 141-3서울특별시 노원구 공릉로 294 (하계동)<NA>하계삼호주유소2022-05-24 10:07:14U2021-12-04 22:06:00.0주유소206311.021149459031.311226<NA><NA>
1896305000019843050082012000461984-09-18<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 9617678<NA><NA>서울특별시 동대문구 이문동 238-5서울특별시 동대문구 신이문로 25-1 (이문동)<NA>대신석유2023-06-28 15:42:35U2022-12-05 21:00:00.0일반판매소205670.810723455646.698113<NA><NA>
1897324000020093240139015000022009-07-15<NA>1영업/정상1신규등록<NA><NA><NA><NA>0244278011400.0<NA>서울특별시 강동구 강일동 642-1서울특별시 강동구 상일로 132 (강일동)<NA>해뜨는 주유소2023-04-17 16:58:51U2022-12-03 23:09:00.0주유소<NA><NA><NA><NA>
1898304000019923040073015000151992-04-20<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 4577600315.37<NA>서울특별시 광진구 자양동 227-4서울특별시 광진구 아차산로 298 (자양동)<NA>주식회사 유니스에너지2023-06-19 15:35:20U2022-12-05 22:01:00.0주유소206638.326812448433.165074<NA><NA>
1899313000020013130080012000011979-04-18<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 3368588<NA><NA>서울특별시 마포구 성산동 21-1서울특별시 마포구 연남로11길 69 (성산동)<NA>영풍에너지2023-11-09 13:36:31U2022-10-31 23:01:00.0일반판매소192433.736074451418.064309<NA><NA>
1900321000020073210122015000012007-11-22<NA>1영업/정상7영업개시<NA><NA><NA><NA>02-582-5198660.1<NA>서울특별시 서초구 서초동 1582-23서울특별시 서초구 반포대로 64 (서초동)<NA>(주)한미석유 서초주유소2023-12-11 15:08:01U2022-11-01 23:03:00.0주유소200883.863531442666.82081<NA><NA>
1901321000019843210076015000141984-10-23<NA>1영업/정상7영업개시<NA><NA><NA><NA>02-571-8000698.3<NA>서울특별시 서초구 우면동 13-6 태봉주유소서울특별시 서초구 태봉로 117, 태봉주유소 101,201호 (우면동)6763태봉주유소2023-12-15 17:57:13U2022-11-01 23:07:00.0주유소202422.841634440678.229387<NA><NA>
1902311000019923110088015000211992-05-09<NA>2휴업5사업휴지<NA>2020-06-012023-12-31<NA>02 3073314495.0<NA>서울특별시 은평구 수색동 379-8서울특별시 은평구 수색로 299 (수색동)<NA>삼융주유소2024-01-09 15:06:18U2023-11-30 23:01:00.0주유소190321.180294453524.393765<NA><NA>
1903304000019923040073015000211992-12-04<NA>1영업/정상6휴지사업재개<NA>2010-07-072010-09-262010-11-1202220107361088.13<NA>서울특별시 광진구 광장동 336-1서울특별시 광진구 아차산로 616, 외 (아차산로 614포함) (광장동)4969(주)강평텔레콤 강평주유소2023-11-20 16:09:49U2022-10-31 22:02:00.0주유소209404.059857449488.518401<NA><NA>