Overview

Dataset statistics

Number of variables26
Number of observations646
Missing cells5174
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory139.5 KiB
Average record size in memory221.2 B

Variable types

Categorical6
Text6
DateTime4
Numeric5
Unsupported5

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),판매점영업면적
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16290/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 476 (73.7%) missing valuesMissing
폐업일자 has 273 (42.3%) missing valuesMissing
휴업시작일자 has 646 (100.0%) missing valuesMissing
휴업종료일자 has 646 (100.0%) missing valuesMissing
재개업일자 has 646 (100.0%) missing valuesMissing
전화번호 has 326 (50.5%) missing valuesMissing
소재지면적 has 646 (100.0%) missing valuesMissing
소재지우편번호 has 368 (57.0%) missing valuesMissing
지번주소 has 8 (1.2%) missing valuesMissing
업태구분명 has 646 (100.0%) missing valuesMissing
판매점영업면적 has 490 (75.9%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매점영업면적 has 22 (3.4%) zerosZeros

Reproduction

Analysis started2024-04-06 12:19:35.877434
Analysis finished2024-04-06 12:19:37.195833
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3040000
646 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 646
100.0%

Length

2024-04-06T21:19:37.459483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:37.672048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 646
100.0%

관리번호
Text

UNIQUE 

Distinct646
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:19:38.039711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters16150
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique646 ?
Unique (%)100.0%

Sample

1st rowPHMH320123040033087500001
2nd rowPHMH320123040033087500002
3rd rowPHMH320123040033087500003
4th rowPHMH320123040033087500004
5th rowPHMH320123040033087500005
ValueCountFrequency (%)
phmh320123040033087500001 1
 
0.2%
phmh320173040033087500038 1
 
0.2%
phmh320173040033087500060 1
 
0.2%
phmh320183040033087500004 1
 
0.2%
phmh320173040033087500061 1
 
0.2%
phmh320173040033087500062 1
 
0.2%
phmh320173040033087500063 1
 
0.2%
phmh320173040033087500064 1
 
0.2%
phmh320183040033087500001 1
 
0.2%
phmh320183040033087500002 1
 
0.2%
Other values (636) 636
98.5%
2024-04-06T21:19:38.704726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5326
33.0%
3 2818
17.4%
H 1292
 
8.0%
2 1145
 
7.1%
4 830
 
5.1%
5 819
 
5.1%
1 812
 
5.0%
7 782
 
4.8%
8 768
 
4.8%
P 646
 
4.0%
Other values (3) 912
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13566
84.0%
Uppercase Letter 2584
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5326
39.3%
3 2818
20.8%
2 1145
 
8.4%
4 830
 
6.1%
5 819
 
6.0%
1 812
 
6.0%
7 782
 
5.8%
8 768
 
5.7%
6 153
 
1.1%
9 113
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
H 1292
50.0%
P 646
25.0%
M 646
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13566
84.0%
Latin 2584
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5326
39.3%
3 2818
20.8%
2 1145
 
8.4%
4 830
 
6.1%
5 819
 
6.0%
1 812
 
6.0%
7 782
 
5.8%
8 768
 
5.7%
6 153
 
1.1%
9 113
 
0.8%
Latin
ValueCountFrequency (%)
H 1292
50.0%
P 646
25.0%
M 646
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5326
33.0%
3 2818
17.4%
H 1292
 
8.0%
2 1145
 
7.1%
4 830
 
5.1%
5 819
 
5.1%
1 812
 
5.0%
7 782
 
4.8%
8 768
 
4.8%
P 646
 
4.0%
Other values (3) 912
 
5.6%

인허가일자
Date

Distinct439
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2012-01-11 00:00:00
Maximum2024-03-21 00:00:00
2024-04-06T21:19:38.989723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:39.282767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)80.6%
Missing476
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean20160008
Minimum20140203
Maximum20180629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T21:19:39.590974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140203
5-th percentile20140220
Q120141221
median20160766
Q320171012
95-th percentile20180478
Maximum20180629
Range40426
Interquartile range (IQR)29791

Descriptive statistics

Standard deviation14442.877
Coefficient of variation (CV)0.00071641227
Kurtosis-1.347032
Mean20160008
Median Absolute Deviation (MAD)10342.5
Skewness-0.097436467
Sum3.4272014 × 109
Variance2.0859671 × 108
MonotonicityNot monotonic
2024-04-06T21:19:39.909841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140220 21
 
3.3%
20160901 2
 
0.3%
20161103 2
 
0.3%
20180222 2
 
0.3%
20171113 2
 
0.3%
20171017 2
 
0.3%
20180430 2
 
0.3%
20170714 2
 
0.3%
20160616 2
 
0.3%
20180419 2
 
0.3%
Other values (127) 131
 
20.3%
(Missing) 476
73.7%
ValueCountFrequency (%)
20140203 1
 
0.2%
20140207 1
 
0.2%
20140220 21
3.3%
20140325 1
 
0.2%
20140331 1
 
0.2%
20140423 1
 
0.2%
20140425 1
 
0.2%
20140430 1
 
0.2%
20140515 1
 
0.2%
20140516 1
 
0.2%
ValueCountFrequency (%)
20180629 1
0.2%
20180627 1
0.2%
20180626 1
0.2%
20180625 1
0.2%
20180621 2
0.3%
20180531 1
0.2%
20180529 1
0.2%
20180517 1
0.2%
20180430 2
0.3%
20180424 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
368 
1
273 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 368
57.0%
1 273
42.3%
4 5
 
0.8%

Length

2024-04-06T21:19:40.231320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:40.441098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 368
57.0%
1 273
42.3%
4 5
 
0.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
368 
영업/정상
273 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length2
Mean length3.3606811
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 368
57.0%
영업/정상 273
42.3%
취소/말소/만료/정지/중지 5
 
0.8%

Length

2024-04-06T21:19:40.714926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:40.946009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 368
57.0%
영업/정상 273
42.3%
취소/말소/만료/정지/중지 5
 
0.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
368 
13
273 
24
 
5

Length

Max length2
Median length1
Mean length1.4303406
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 368
57.0%
13 273
42.3%
24 5
 
0.8%

Length

2024-04-06T21:19:41.169416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:41.400415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 368
57.0%
13 273
42.3%
24 5
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
368 
영업중
273 
직권폐업
 
5

Length

Max length4
Median length2
Mean length2.4380805
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row영업중

Common Values

ValueCountFrequency (%)
폐업 368
57.0%
영업중 273
42.3%
직권폐업 5
 
0.8%

Length

2024-04-06T21:19:41.742596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:41.969793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 368
57.0%
영업중 273
42.3%
직권폐업 5
 
0.8%

폐업일자
Date

MISSING 

Distinct323
Distinct (%)86.6%
Missing273
Missing (%)42.3%
Memory size5.2 KiB
Minimum2012-11-19 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T21:19:42.252528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:42.521895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

전화번호
Text

MISSING 

Distinct280
Distinct (%)87.5%
Missing326
Missing (%)50.5%
Memory size5.2 KiB
2024-04-06T21:19:43.069568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.709375
Min length7

Characters and Unicode

Total characters3427
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

Unique244 ?
Unique (%)76.2%

Sample

1st row02-444-5189
2nd row02-461-1989
3rd row02-447-2690
4th row02-3436-5966
5th row02-3436-9934
ValueCountFrequency (%)
02-464-3655 4
 
1.2%
1577-9621 4
 
1.2%
02-462-9949 2
 
0.6%
02-453-1336 2
 
0.6%
02-456-9487 2
 
0.6%
02-458-0615 2
 
0.6%
02-454-1118 2
 
0.6%
02-456-3373 2
 
0.6%
02-455-8468 2
 
0.6%
02-444-9428 2
 
0.6%
Other values (270) 296
92.5%
2024-04-06T21:19:43.885413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 581
17.0%
4 487
14.2%
2 436
12.7%
0 428
12.5%
5 305
8.9%
6 262
7.6%
7 207
 
6.0%
3 198
 
5.8%
1 187
 
5.5%
8 173
 
5.0%
Other values (2) 163
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2845
83.0%
Dash Punctuation 581
 
17.0%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 487
17.1%
2 436
15.3%
0 428
15.0%
5 305
10.7%
6 262
9.2%
7 207
7.3%
3 198
7.0%
1 187
 
6.6%
8 173
 
6.1%
9 162
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 581
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 581
17.0%
4 487
14.2%
2 436
12.7%
0 428
12.5%
5 305
8.9%
6 262
7.6%
7 207
 
6.0%
3 198
 
5.8%
1 187
 
5.5%
8 173
 
5.0%
Other values (2) 163
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 581
17.0%
4 487
14.2%
2 436
12.7%
0 428
12.5%
5 305
8.9%
6 262
7.6%
7 207
 
6.0%
3 198
 
5.8%
1 187
 
5.5%
8 173
 
5.0%
Other values (2) 163
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

소재지우편번호
Text

MISSING 

Distinct121
Distinct (%)43.5%
Missing368
Missing (%)57.0%
Memory size5.2 KiB
2024-04-06T21:19:44.475089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0539568
Min length5

Characters and Unicode

Total characters1683
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

Unique56 ?
Unique (%)20.1%

Sample

1st row143702
2nd row143702
3rd row143814
4th row143826
5th row143-926
ValueCountFrequency (%)
143916 9
 
3.2%
143837 7
 
2.5%
143826 7
 
2.5%
143915 6
 
2.2%
143917 6
 
2.2%
143819 6
 
2.2%
143822 6
 
2.2%
143847 6
 
2.2%
143838 6
 
2.2%
143853 6
 
2.2%
Other values (111) 213
76.6%
2024-04-06T21:19:45.566493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 374
22.2%
4 323
19.2%
3 319
19.0%
8 233
13.8%
9 95
 
5.6%
2 75
 
4.5%
0 72
 
4.3%
6 66
 
3.9%
7 58
 
3.4%
5 46
 
2.7%
Other values (2) 22
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1661
98.7%
Dash Punctuation 16
 
1.0%
Space Separator 6
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 374
22.5%
4 323
19.4%
3 319
19.2%
8 233
14.0%
9 95
 
5.7%
2 75
 
4.5%
0 72
 
4.3%
6 66
 
4.0%
7 58
 
3.5%
5 46
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 374
22.2%
4 323
19.2%
3 319
19.0%
8 233
13.8%
9 95
 
5.6%
2 75
 
4.5%
0 72
 
4.3%
6 66
 
3.9%
7 58
 
3.4%
5 46
 
2.7%
Other values (2) 22
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 374
22.2%
4 323
19.2%
3 319
19.0%
8 233
13.8%
9 95
 
5.6%
2 75
 
4.5%
0 72
 
4.3%
6 66
 
3.9%
7 58
 
3.4%
5 46
 
2.7%
Other values (2) 22
 
1.3%

지번주소
Text

MISSING 

Distinct541
Distinct (%)84.8%
Missing8
Missing (%)1.2%
Memory size5.2 KiB
2024-04-06T21:19:46.147395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length24.081505
Min length12

Characters and Unicode

Total characters15364
Distinct characters182
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

Unique459 ?
Unique (%)71.9%

Sample

1st row서울특별시 광진구 자양동 777번지
2nd row서울특별시 광진구 자양동 777번지
3rd row서울특별시 광진구 광장동 470번지 3호
4th row서울특별시 광진구 구의동 248번지 138호
5th row서울특별시 광진구 화양동 495번지 17호
ValueCountFrequency (%)
서울특별시 636
18.8%
광진구 636
18.8%
자양동 164
 
4.8%
1층 163
 
4.8%
구의동 144
 
4.2%
중곡동 134
 
4.0%
화양동 76
 
2.2%
1호 61
 
1.8%
군자동 49
 
1.4%
광장동 39
 
1.2%
Other values (560) 1288
38.0%
2024-04-06T21:19:47.649644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2755
17.9%
구 781
 
5.1%
1 774
 
5.0%
광 688
 
4.5%
진 653
 
4.3%
동 653
 
4.3%
시 642
 
4.2%
서 637
 
4.1%
울 637
 
4.1%
특 636
 
4.1%
Other values (172) 6508
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9425
61.3%
Decimal Number 3054
 
19.9%
Space Separator 2755
 
17.9%
Dash Punctuation 95
 
0.6%
Uppercase Letter 20
 
0.1%
Other Punctuation 12
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 781
 
8.3%
광 688
 
7.3%
진 653
 
6.9%
동 653
 
6.9%
시 642
 
6.8%
서 637
 
6.8%
울 637
 
6.8%
특 636
 
6.7%
별 636
 
6.7%
호 544
 
5.8%
Other values (151) 2918
31.0%
Decimal Number
ValueCountFrequency (%)
1 774
25.3%
2 459
15.0%
4 282
 
9.2%
3 280
 
9.2%
0 250
 
8.2%
6 249
 
8.2%
5 244
 
8.0%
7 205
 
6.7%
9 157
 
5.1%
8 154
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
30.0%
B 5
25.0%
K 5
25.0%
A 2
 
10.0%
S 2
 
10.0%
Space Separator
ValueCountFrequency (%)
2755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9425
61.3%
Common 5918
38.5%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 781
 
8.3%
광 688
 
7.3%
진 653
 
6.9%
동 653
 
6.9%
시 642
 
6.8%
서 637
 
6.8%
울 637
 
6.8%
특 636
 
6.7%
별 636
 
6.7%
호 544
 
5.8%
Other values (151) 2918
31.0%
Common
ValueCountFrequency (%)
2755
46.6%
1 774
 
13.1%
2 459
 
7.8%
4 282
 
4.8%
3 280
 
4.7%
0 250
 
4.2%
6 249
 
4.2%
5 244
 
4.1%
7 205
 
3.5%
9 157
 
2.7%
Other values (5) 263
 
4.4%
Latin
ValueCountFrequency (%)
C 6
28.6%
B 5
23.8%
K 5
23.8%
A 2
 
9.5%
S 2
 
9.5%
e 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9425
61.3%
ASCII 5939
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2755
46.4%
1 774
 
13.0%
2 459
 
7.7%
4 282
 
4.7%
3 280
 
4.7%
0 250
 
4.2%
6 249
 
4.2%
5 244
 
4.1%
7 205
 
3.5%
9 157
 
2.6%
Other values (11) 284
 
4.8%
Hangul
ValueCountFrequency (%)
구 781
 
8.3%
광 688
 
7.3%
진 653
 
6.9%
동 653
 
6.9%
시 642
 
6.8%
서 637
 
6.8%
울 637
 
6.8%
특 636
 
6.7%
별 636
 
6.7%
호 544
 
5.8%
Other values (151) 2918
31.0%

도로명주소
Text

Distinct525
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:19:48.319597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length29.842105
Min length21

Characters and Unicode

Total characters19278
Distinct characters212
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

Unique430 ?
Unique (%)66.6%

Sample

1st row서울특별시 광진구 자양로 117 (자양동)
2nd row서울특별시 광진구 자양로 117 (자양동)
3rd row서울특별시 광진구 아차산로 502 (광장동)
4th row서울특별시 광진구 아차산로51길 62 (구의동)
5th row서울특별시 광진구 광나루로24길 14 (화양동)
ValueCountFrequency (%)
서울특별시 646
16.6%
광진구 646
16.6%
1층 343
 
8.8%
자양동 166
 
4.3%
구의동 146
 
3.8%
중곡동 136
 
3.5%
화양동 77
 
2.0%
능동로 53
 
1.4%
군자동 50
 
1.3%
광장동 39
 
1.0%
Other values (553) 1588
40.8%
2024-04-06T21:19:49.333937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3244
 
16.8%
1 991
 
5.1%
동 816
 
4.2%
구 813
 
4.2%
광 758
 
3.9%
진 668
 
3.5%
시 655
 
3.4%
로 653
 
3.4%
울 648
 
3.4%
서 648
 
3.4%
Other values (202) 9384
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11094
57.5%
Space Separator 3244
 
16.8%
Decimal Number 3031
 
15.7%
Open Punctuation 648
 
3.4%
Close Punctuation 648
 
3.4%
Other Punctuation 542
 
2.8%
Dash Punctuation 44
 
0.2%
Uppercase Letter 24
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 816
 
7.4%
구 813
 
7.3%
광 758
 
6.8%
진 668
 
6.0%
시 655
 
5.9%
로 653
 
5.9%
울 648
 
5.8%
서 648
 
5.8%
별 646
 
5.8%
특 646
 
5.8%
Other values (175) 4143
37.3%
Decimal Number
ValueCountFrequency (%)
1 991
32.7%
2 367
 
12.1%
3 285
 
9.4%
0 264
 
8.7%
5 254
 
8.4%
6 242
 
8.0%
4 219
 
7.2%
7 163
 
5.4%
8 128
 
4.2%
9 118
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
37.5%
C 6
25.0%
A 5
20.8%
K 3
 
12.5%
S 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 540
99.6%
* 1
 
0.2%
/ 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 647
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 647
99.8%
] 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
3244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11094
57.5%
Common 8158
42.3%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 816
 
7.4%
구 813
 
7.3%
광 758
 
6.8%
진 668
 
6.0%
시 655
 
5.9%
로 653
 
5.9%
울 648
 
5.8%
서 648
 
5.8%
별 646
 
5.8%
특 646
 
5.8%
Other values (175) 4143
37.3%
Common
ValueCountFrequency (%)
3244
39.8%
1 991
 
12.1%
( 647
 
7.9%
) 647
 
7.9%
, 540
 
6.6%
2 367
 
4.5%
3 285
 
3.5%
0 264
 
3.2%
5 254
 
3.1%
6 242
 
3.0%
Other values (10) 677
 
8.3%
Latin
ValueCountFrequency (%)
B 9
34.6%
C 6
23.1%
A 5
19.2%
K 3
 
11.5%
e 1
 
3.8%
S 1
 
3.8%
k 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11094
57.5%
ASCII 8184
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3244
39.6%
1 991
 
12.1%
( 647
 
7.9%
) 647
 
7.9%
, 540
 
6.6%
2 367
 
4.5%
3 285
 
3.5%
0 264
 
3.2%
5 254
 
3.1%
6 242
 
3.0%
Other values (17) 703
 
8.6%
Hangul
ValueCountFrequency (%)
동 816
 
7.4%
구 813
 
7.3%
광 758
 
6.8%
진 668
 
6.0%
시 655
 
5.9%
로 653
 
5.9%
울 648
 
5.8%
서 648
 
5.8%
별 646
 
5.8%
특 646
 
5.8%
Other values (175) 4143
37.3%

도로명우편번호
Real number (ℝ)

Distinct219
Distinct (%)34.1%
Missing3
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean17315.21
Minimum4902
Maximum143926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T21:19:49.606141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4917.1
Q14969
median5021
Q35071
95-th percentile143838
Maximum143926
Range139024
Interquartile range (IQR)102

Descriptive statistics

Standard deviation39486.036
Coefficient of variation (CV)2.2804249
Kurtosis6.4372415
Mean17315.21
Median Absolute Deviation (MAD)52
Skewness2.9012398
Sum11133680
Variance1.559147 × 109
MonotonicityNot monotonic
2024-04-06T21:19:49.908372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5101 12
 
1.9%
5021 10
 
1.5%
5044 9
 
1.4%
5040 9
 
1.4%
4969 9
 
1.4%
5043 9
 
1.4%
5070 8
 
1.2%
4990 8
 
1.2%
5041 8
 
1.2%
5090 7
 
1.1%
Other values (209) 554
85.8%
ValueCountFrequency (%)
4902 2
 
0.3%
4903 7
1.1%
4904 2
 
0.3%
4905 4
0.6%
4906 2
 
0.3%
4907 1
 
0.2%
4908 3
0.5%
4909 3
0.5%
4910 1
 
0.2%
4911 2
 
0.3%
ValueCountFrequency (%)
143926 1
0.2%
143917 1
0.2%
143916 1
0.2%
143912 1
0.2%
143904 2
0.3%
143903 1
0.2%
143900 2
0.3%
143898 1
0.2%
143893 1
0.2%
143890 1
0.2%

사업장명
Text

Distinct567
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-06T21:19:50.506006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.532508
Min length3

Characters and Unicode

Total characters6804
Distinct characters256
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

Unique497 ?
Unique (%)76.9%

Sample

1st row미니스톱 뚝섬2호점
2nd row미니스톱 뚝섬3호점
3rd row미니스톱 광장현대점
4th row미니스톱 구의명성점
5th row㈜지에스리테일 GS25 건국점
ValueCountFrequency (%)
씨유 121
 
10.4%
gs25 116
 
10.0%
세븐일레븐 88
 
7.6%
주)코리아세븐 31
 
2.7%
미니스톱 24
 
2.1%
지에스25 20
 
1.7%
지에스(gs)25 17
 
1.5%
cu 14
 
1.2%
이마트24 9
 
0.8%
군자중앙점 7
 
0.6%
Other values (483) 714
61.5%
2024-04-06T21:19:51.348745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 595
 
8.7%
519
 
7.6%
2 250
 
3.7%
5 233
 
3.4%
븐 233
 
3.4%
유 181
 
2.7%
G 174
 
2.6%
S 174
 
2.6%
씨 173
 
2.5%
자 171
 
2.5%
Other values (246) 4101
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5008
73.6%
Decimal Number 539
 
7.9%
Space Separator 519
 
7.6%
Uppercase Letter 497
 
7.3%
Close Punctuation 116
 
1.7%
Open Punctuation 116
 
1.7%
Other Symbol 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 595
 
11.9%
븐 233
 
4.7%
유 181
 
3.6%
씨 173
 
3.5%
자 171
 
3.4%
스 170
 
3.4%
양 160
 
3.2%
세 145
 
2.9%
중 137
 
2.7%
일 133
 
2.7%
Other values (227) 2910
58.1%
Decimal Number
ValueCountFrequency (%)
2 250
46.4%
5 233
43.2%
4 21
 
3.9%
3 16
 
3.0%
6 9
 
1.7%
1 7
 
1.3%
7 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
G 174
35.0%
S 174
35.0%
C 73
14.7%
U 72
14.5%
K 2
 
0.4%
O 1
 
0.2%
V 1
 
0.2%
Space Separator
ValueCountFrequency (%)
519
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5016
73.7%
Common 1291
 
19.0%
Latin 497
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 595
 
11.9%
븐 233
 
4.6%
유 181
 
3.6%
씨 173
 
3.4%
자 171
 
3.4%
스 170
 
3.4%
양 160
 
3.2%
세 145
 
2.9%
중 137
 
2.7%
일 133
 
2.7%
Other values (228) 2918
58.2%
Common
ValueCountFrequency (%)
519
40.2%
2 250
19.4%
5 233
18.0%
) 116
 
9.0%
( 116
 
9.0%
4 21
 
1.6%
3 16
 
1.2%
6 9
 
0.7%
1 7
 
0.5%
7 3
 
0.2%
Latin
ValueCountFrequency (%)
G 174
35.0%
S 174
35.0%
C 73
14.7%
U 72
14.5%
K 2
 
0.4%
O 1
 
0.2%
V 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5008
73.6%
ASCII 1788
 
26.3%
None 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 595
 
11.9%
븐 233
 
4.7%
유 181
 
3.6%
씨 173
 
3.5%
자 171
 
3.4%
스 170
 
3.4%
양 160
 
3.2%
세 145
 
2.9%
중 137
 
2.7%
일 133
 
2.7%
Other values (227) 2910
58.1%
ASCII
ValueCountFrequency (%)
519
29.0%
2 250
14.0%
5 233
13.0%
G 174
 
9.7%
S 174
 
9.7%
) 116
 
6.5%
( 116
 
6.5%
C 73
 
4.1%
U 72
 
4.0%
4 21
 
1.2%
Other values (8) 40
 
2.2%
None
ValueCountFrequency (%)
㈜ 8
100.0%

최종수정일자
Date

UNIQUE 

Distinct646
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2014-01-21 11:45:01
Maximum2024-04-03 10:49:24
2024-04-06T21:19:51.668761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:52.014020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
I
386 
U
260 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 386
59.8%
U 260
40.2%

Length

2024-04-06T21:19:52.310691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:19:52.530357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 386
59.8%
u 260
40.2%

데이터갱신일자
Date

Distinct287
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T21:19:52.766061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:19:53.060055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct401
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207167.24
Minimum205335.72
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T21:19:53.371924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205335.72
5-th percentile205820.02
Q1206534.89
median207203.85
Q3207751.81
95-th percentile208793.55
Maximum209775.27
Range4439.5477
Interquartile range (IQR)1216.9218

Descriptive statistics

Standard deviation897.11166
Coefficient of variation (CV)0.0043303741
Kurtosis0.012765645
Mean207167.24
Median Absolute Deviation (MAD)621.46003
Skewness0.35344081
Sum1.3383004 × 108
Variance804809.33
MonotonicityNot monotonic
2024-04-06T21:19:53.672515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206796.751850125 6
 
0.9%
206303.03222946 6
 
0.9%
207217.242723012 5
 
0.8%
207095.940207281 5
 
0.8%
206759.177763498 5
 
0.8%
206783.63991983 5
 
0.8%
206043.358791333 5
 
0.8%
208318.216397053 5
 
0.8%
208102.446704142 5
 
0.8%
207201.846793825 4
 
0.6%
Other values (391) 595
92.1%
ValueCountFrequency (%)
205335.7201455 2
0.3%
205359.546199006 2
0.3%
205382.255152717 1
0.2%
205431.201141429 2
0.3%
205461.914937392 1
0.2%
205519.90777428 1
0.2%
205546.767203729 1
0.2%
205548.689811343 2
0.3%
205598.497195455 1
0.2%
205607.186171597 1
0.2%
ValueCountFrequency (%)
209775.267831522 1
 
0.2%
209679.58447051 3
0.5%
209589.042548422 3
0.5%
209587.408592767 2
0.3%
209551.051963422 1
 
0.2%
209475.650132275 1
 
0.2%
209466.623798475 2
0.3%
209437.537839672 1
 
0.2%
209433.056005011 1
 
0.2%
209324.589721543 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct401
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449355.23
Minimum447379.67
Maximum452041.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T21:19:54.079153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447379.67
5-th percentile447685.24
Q1448444
median449213.24
Q3450255.54
95-th percentile451332.13
Maximum452041.12
Range4661.4504
Interquartile range (IQR)1811.5382

Descriptive statistics

Standard deviation1155.6801
Coefficient of variation (CV)0.0025718631
Kurtosis-0.81556078
Mean449355.23
Median Absolute Deviation (MAD)897.8972
Skewness0.32466826
Sum2.9028348 × 108
Variance1335596.5
MonotonicityNot monotonic
2024-04-06T21:19:54.385875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450255.541082105 6
 
0.9%
448689.878161826 6
 
0.9%
448466.072448888 5
 
0.8%
450557.738745532 5
 
0.8%
450533.841951965 5
 
0.8%
450080.097206798 5
 
0.8%
448141.665395069 5
 
0.8%
448817.091466369 5
 
0.8%
450200.505650833 5
 
0.8%
448070.91396924 4
 
0.6%
Other values (391) 595
92.1%
ValueCountFrequency (%)
447379.671524405 3
0.5%
447404.717192681 2
0.3%
447436.911286546 1
 
0.2%
447456.62489213 2
0.3%
447472.327838321 1
 
0.2%
447498.512061584 2
0.3%
447517.95004762 4
0.6%
447521.179774067 3
0.5%
447541.739270941 2
0.3%
447549.307441833 2
0.3%
ValueCountFrequency (%)
452041.121897854 1
 
0.2%
452034.609259255 1
 
0.2%
452014.915519636 1
 
0.2%
451991.900378929 2
0.3%
451973.4103223 3
0.5%
451896.483316404 1
 
0.2%
451845.601747007 3
0.5%
451825.378394178 1
 
0.2%
451800.009864484 1
 
0.2%
451763.287416061 1
 
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)51.9%
Missing490
Missing (%)75.9%
Infinite0
Infinite (%)0.0%
Mean46.40891
Minimum0
Maximum212.6
Zeros22
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-06T21:19:54.678268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median49.5
Q360
95-th percentile99.25
Maximum212.6
Range212.6
Interquartile range (IQR)30

Descriptive statistics

Standard deviation31.752349
Coefficient of variation (CV)0.68418648
Kurtosis4.04101
Mean46.40891
Median Absolute Deviation (MAD)16.5
Skewness1.0222493
Sum7239.79
Variance1008.2117
MonotonicityNot monotonic
2024-04-06T21:19:55.184652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
3.4%
49.5 12
 
1.9%
60.0 8
 
1.2%
33.0 8
 
1.2%
50.0 5
 
0.8%
66.0 5
 
0.8%
30.0 3
 
0.5%
26.4 3
 
0.5%
45.0 3
 
0.5%
33.1 3
 
0.5%
Other values (71) 84
 
13.0%
(Missing) 490
75.9%
ValueCountFrequency (%)
0.0 22
3.4%
3.0 1
 
0.2%
3.3 2
 
0.3%
6.6 2
 
0.3%
15.0 1
 
0.2%
18.0 1
 
0.2%
19.8 1
 
0.2%
20.0 1
 
0.2%
23.0 1
 
0.2%
23.76 1
 
0.2%
ValueCountFrequency (%)
212.6 1
0.2%
131.0 1
0.2%
121.21 1
0.2%
116.0 1
0.2%
105.6 1
0.2%
105.0 2
0.3%
100.0 1
0.2%
99.0 1
0.2%
94.0 1
0.2%
92.4 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03040000PHMH32012304003308750000120121109<NA>3폐업3폐업20190327<NA><NA><NA>02-444-5189<NA>143702서울특별시 광진구 자양동 777번지서울특별시 광진구 자양로 117 (자양동)5026미니스톱 뚝섬2호점2019-03-28 09:16:02U2019-03-30 02:40:00.0<NA>207217.242723448466.072449<NA>
13040000PHMH32012304003308750000220121109<NA>3폐업3폐업20190327<NA><NA><NA>02-461-1989<NA>143702서울특별시 광진구 자양동 777번지서울특별시 광진구 자양로 117 (자양동)5026미니스톱 뚝섬3호점2019-03-28 09:16:18U2019-03-30 02:40:00.0<NA>207217.242723448466.072449<NA>
23040000PHMH32012304003308750000320121109201509303폐업3폐업20150930<NA><NA><NA>02-447-2690<NA>143814서울특별시 광진구 광장동 470번지 3호서울특별시 광진구 아차산로 502 (광장동)4974미니스톱 광장현대점2015-09-30 16:27:34I2018-08-31 23:59:59.0<NA>208526.975329448791.882409<NA>
33040000PHMH32012304003308750000420121109<NA>3폐업3폐업20190222<NA><NA><NA>02-3436-5966<NA>143826서울특별시 광진구 구의동 248번지 138호서울특별시 광진구 아차산로51길 62 (구의동)5040미니스톱 구의명성점2019-02-25 10:12:00U2019-02-27 02:40:00.0<NA>207444.816429448614.94985<NA>
43040000PHMH3201230400330875000052012-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3436-9934<NA>143-926서울특별시 광진구 화양동 495번지 17호서울특별시 광진구 광나루로24길 14 (화양동)5021㈜지에스리테일 GS25 건국점2023-07-06 16:34:09U2022-12-07 00:08:00.0<NA>206668.416357449268.919858<NA>
53040000PHMH32012304003308750000620121109<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2207-3405<NA>143867서울특별시 광진구 자양동 631번지서울특별시 광진구 자양로13길 47, 1층 (자양동)5058이마트24자양스타점2022-06-24 14:32:36U2021-12-05 22:06:00.0<NA>207170.072888447991.643118<NA>
63040000PHMH32012304003308750000720121109201409113폐업3폐업20140911<NA><NA><NA>02-462-0056<NA>143862서울특별시 광진구 자양동 553번지 203호서울특별시 광진구 뚝섬로 513 (자양동)143862GS25 자양대동2014-09-11 17:55:13I2018-08-31 23:59:59.0<NA>205887.910154448166.926845<NA>
73040000PHMH3201230400330875000082012-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-465-6042<NA>143-917서울특별시 광진구 화양동 49번지 1호서울특별시 광진구 아차산로25길 7 (화양동)5020GS25 건대제일점2023-03-03 17:26:55U2022-12-03 00:05:00.0<NA>205812.382447448844.578289<NA>
83040000PHMH32012304003308750000920121109201412183폐업3폐업20141218<NA><NA><NA>02-467-5540<NA>143859서울특별시 광진구 자양동 854번지서울특별시 광진구 뚝섬로34길 67 (자양동)143859GS25 광진팰리스점2014-12-18 17:01:12I2018-08-31 23:59:59.0<NA>205936.1667447740.595068<NA>
93040000PHMH32012304003308750001020121109201612203폐업3폐업20161220<NA><NA><NA>02-452-5576<NA>143865서울특별시 광진구 자양동 601번지서울특별시 광진구 자양번영로 32 (자양동)5098GS25 자양공원점2016-12-20 14:09:23I2018-08-31 23:59:59.0<NA>206622.184391447801.074009<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
6363040000PHMH3202330400330875000202023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 65-10서울특별시 광진구 광나루로37길 21, 1층 (구의동)4976지에스25 구의파크점2023-11-22 13:19:49I2022-10-31 22:04:00.0<NA>207709.576586449302.624248<NA>
6373040000PHMH3202330400330875000212023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 202-2서울특별시 광진구 뚝섬로22길 17, 1층 코너부분호 (자양동)5082(주)코리아세븐 노유점2023-11-29 15:58:15I2022-11-02 00:01:00.0<NA>205382.255153448215.877284<NA>
6383040000PHMH3202330400330875000222023-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 16-36서울특별시 광진구 능동로13길 70-1, 1층 (화양동)5012씨유 화양대박점2023-11-30 15:55:09I2022-11-02 00:02:00.0<NA>206047.289736449180.54562<NA>
6393040000PHMH3202430400330875000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 18-100서울특별시 광진구 용마산로22길 13, 1층 (중곡동)4941지에스25 중곡대원점2024-01-17 10:03:52I2023-11-30 23:09:00.0<NA>207691.919392451276.558097<NA>
6403040000PHMH3202430400330875000022024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 75-2서울특별시 광진구 군자로6길 24, 1동 지하층 (화양동)5010씨유(CU)화양원룸촌점2024-02-21 17:04:20I2023-12-01 22:03:00.0<NA>206291.207479449291.440714<NA>
6413040000PHMH3202430400330875000032024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-8007<NA><NA>서울특별시 광진구 광장동 577 광장현대파크빌서울특별시 광진구 아차산로 549, 지하층 B107~109호 (광장동, 광장현대파크빌)4983씨유CU광진 파크빌2024-02-23 15:34:58I2023-12-01 22:05:00.0<NA>208902.730986449103.205201<NA>
6423040000PHMH3202430400330875000042024-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 585-22서울특별시 광진구 자양번영로3길 11, 1층 (자양동)5093씨유 자양으뜸점2024-03-06 13:21:59I2023-12-03 00:08:00.0<NA>206501.276608447717.232996<NA>
6433040000PHMH3202430400330875000052024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 187-12 두남서울특별시 광진구 동일로 422, 두남 1층 (중곡동)4905지에스(GS)25 중곡동일로점2024-03-19 10:04:40I2023-12-02 22:01:00.0<NA>206896.769516451742.853812<NA>
6443040000PHMH3202430400330875000062024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 241-96서울특별시 광진구 아차산로57길 41 (구의동)5041지에스25구의새한2024-03-20 13:26:26I2023-12-02 22:02:00.0<NA>207750.740521448684.568034<NA>
6453040000PHMH3202430400330875000072024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 222-14서울특별시 광진구 아차산로 328, 1층 (자양동)5054지에스(GS)25 자양트윈스2024-03-21 15:02:12I2023-12-02 22:03:00.0<NA>206934.502479448350.951668<NA>