Overview

Dataset statistics

Number of variables26
Number of observations520
Missing cells4187
Missing cells (%)31.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.4 KiB
Average record size in memory221.3 B

Variable types

Categorical6
Text6
DateTime4
Unsupported6
Numeric4

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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16292/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 520 (100.0%) missing valuesMissing
폐업일자 has 257 (49.4%) missing valuesMissing
휴업시작일자 has 520 (100.0%) missing valuesMissing
휴업종료일자 has 520 (100.0%) missing valuesMissing
재개업일자 has 520 (100.0%) missing valuesMissing
전화번호 has 278 (53.5%) missing valuesMissing
소재지면적 has 520 (100.0%) missing valuesMissing
소재지우편번호 has 340 (65.4%) missing valuesMissing
지번주소 has 8 (1.5%) missing valuesMissing
업태구분명 has 520 (100.0%) missing valuesMissing
판매점영업면적 has 174 (33.5%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 10:02:57.009360
Analysis finished2024-05-11 10:02:58.522685
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3060000
520 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 520
100.0%

Length

2024-05-11T10:02:58.810970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:02:59.238341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 520
100.0%

관리번호
Text

UNIQUE 

Distinct520
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T10:02:59.821895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters13000
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

Unique520 ?
Unique (%)100.0%

Sample

1st rowPHMH320123060034087500001
2nd rowPHMH320123060034087500002
3rd rowPHMH320123060034087500003
4th rowPHMH320123060034087500005
5th rowPHMH320123060034087500006
ValueCountFrequency (%)
phmh320123060034087500001 1
 
0.2%
phmh320183060034087500036 1
 
0.2%
phmh320183060034087500034 1
 
0.2%
phmh320183060034087500033 1
 
0.2%
phmh320183060034087500032 1
 
0.2%
phmh320183060034087500031 1
 
0.2%
phmh320183060034087500030 1
 
0.2%
phmh320183060034087500029 1
 
0.2%
phmh320183060034087500028 1
 
0.2%
phmh320183060034087500027 1
 
0.2%
Other values (510) 510
98.1%
2024-05-11T10:03:00.977779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4355
33.5%
3 1754
13.5%
H 1040
 
8.0%
2 938
 
7.2%
4 664
 
5.1%
7 642
 
4.9%
5 638
 
4.9%
6 633
 
4.9%
8 616
 
4.7%
1 600
 
4.6%
Other values (3) 1120
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10920
84.0%
Uppercase Letter 2080
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4355
39.9%
3 1754
16.1%
2 938
 
8.6%
4 664
 
6.1%
7 642
 
5.9%
5 638
 
5.8%
6 633
 
5.8%
8 616
 
5.6%
1 600
 
5.5%
9 80
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
H 1040
50.0%
P 520
25.0%
M 520
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10920
84.0%
Latin 2080
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4355
39.9%
3 1754
16.1%
2 938
 
8.6%
4 664
 
6.1%
7 642
 
5.9%
5 638
 
5.8%
6 633
 
5.8%
8 616
 
5.6%
1 600
 
5.5%
9 80
 
0.7%
Latin
ValueCountFrequency (%)
H 1040
50.0%
P 520
25.0%
M 520
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4355
33.5%
3 1754
13.5%
H 1040
 
8.0%
2 938
 
7.2%
4 664
 
5.1%
7 642
 
4.9%
5 638
 
4.9%
6 633
 
4.9%
8 616
 
4.7%
1 600
 
4.6%
Other values (3) 1120
 
8.6%

인허가일자
Date

Distinct396
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2012-11-06 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T10:03:01.558788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:03:02.057125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing520
Missing (%)100.0%
Memory size4.7 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3
259 
1
257 
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 259
49.8%
1 257
49.4%
4 4
 
0.8%

Length

2024-05-11T10:03:02.593544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:03:03.048774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 259
49.8%
1 257
49.4%
4 4
 
0.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
259 
영업/정상
257 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length5
Mean length3.575
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 259
49.8%
영업/정상 257
49.4%
취소/말소/만료/정지/중지 4
 
0.8%

Length

2024-05-11T10:03:03.463152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:03:03.783064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 259
49.8%
영업/정상 257
49.4%
취소/말소/만료/정지/중지 4
 
0.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3
259 
13
257 
24
 
4

Length

Max length2
Median length2
Mean length1.5019231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 259
49.8%
13 257
49.4%
24 4
 
0.8%

Length

2024-05-11T10:03:04.294430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:03:04.624124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 259
49.8%
13 257
49.4%
24 4
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
259 
영업중
257 
직권폐업
 
4

Length

Max length4
Median length3
Mean length2.5096154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 259
49.8%
영업중 257
49.4%
직권폐업 4
 
0.8%

Length

2024-05-11T10:03:05.127719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:03:05.554552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 259
49.8%
영업중 257
49.4%
직권폐업 4
 
0.8%

폐업일자
Date

MISSING 

Distinct243
Distinct (%)92.4%
Missing257
Missing (%)49.4%
Memory size4.2 KiB
Minimum2013-03-25 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T10:03:06.060053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:03:06.632125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing520
Missing (%)100.0%
Memory size4.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing520
Missing (%)100.0%
Memory size4.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing520
Missing (%)100.0%
Memory size4.7 KiB

전화번호
Text

MISSING 

Distinct204
Distinct (%)84.3%
Missing278
Missing (%)53.5%
Memory size4.2 KiB
2024-05-11T10:03:07.470860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.082645
Min length8

Characters and Unicode

Total characters2682
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)72.3%

Sample

1st row02-432-9948
2nd row02-493-8308
3rd row02-979-2025
4th row02-975-2025
5th row02-431-4422
ValueCountFrequency (%)
02-495-9178 4
 
1.7%
02-435-8901 3
 
1.2%
02-496-2974 3
 
1.2%
02-492-7003 3
 
1.2%
02-436-6480 3
 
1.2%
02-491-3368 3
 
1.2%
02-492-0707 3
 
1.2%
02-2207-3570 3
 
1.2%
02-2207-0372 2
 
0.8%
02-432-3233 2
 
0.8%
Other values (194) 213
88.0%
2024-05-11T10:03:09.453480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 467
17.4%
2 426
15.9%
0 386
14.4%
4 305
11.4%
3 270
10.1%
9 195
7.3%
7 164
 
6.1%
8 125
 
4.7%
1 121
 
4.5%
5 113
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2215
82.6%
Dash Punctuation 467
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 426
19.2%
0 386
17.4%
4 305
13.8%
3 270
12.2%
9 195
8.8%
7 164
 
7.4%
8 125
 
5.6%
1 121
 
5.5%
5 113
 
5.1%
6 110
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 467
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 467
17.4%
2 426
15.9%
0 386
14.4%
4 305
11.4%
3 270
10.1%
9 195
7.3%
7 164
 
6.1%
8 125
 
4.7%
1 121
 
4.5%
5 113
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 467
17.4%
2 426
15.9%
0 386
14.4%
4 305
11.4%
3 270
10.1%
9 195
7.3%
7 164
 
6.1%
8 125
 
4.7%
1 121
 
4.5%
5 113
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing520
Missing (%)100.0%
Memory size4.7 KiB

소재지우편번호
Text

MISSING 

Distinct88
Distinct (%)48.9%
Missing340
Missing (%)65.4%
Memory size4.2 KiB
2024-05-11T10:03:10.195318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.05
Min length6

Characters and Unicode

Total characters1089
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

Unique51 ?
Unique (%)28.3%

Sample

1st row131860
2nd row131861
3rd row131852
4th row131852
5th row131859
ValueCountFrequency (%)
131859 11
 
6.1%
131202 9
 
5.0%
131831 8
 
4.4%
131828 6
 
3.3%
131141 6
 
3.3%
131233 5
 
2.8%
131818 5
 
2.8%
131861 5
 
2.8%
131860 4
 
2.2%
131221 4
 
2.2%
Other values (78) 117
65.0%
2024-05-11T10:03:11.830885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 430
39.5%
3 220
20.2%
8 155
 
14.2%
2 91
 
8.4%
0 52
 
4.8%
7 33
 
3.0%
5 29
 
2.7%
6 22
 
2.0%
9 21
 
1.9%
4 20
 
1.8%
Other values (2) 16
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1073
98.5%
Dash Punctuation 9
 
0.8%
Space Separator 7
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 430
40.1%
3 220
20.5%
8 155
 
14.4%
2 91
 
8.5%
0 52
 
4.8%
7 33
 
3.1%
5 29
 
2.7%
6 22
 
2.1%
9 21
 
2.0%
4 20
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1089
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 430
39.5%
3 220
20.2%
8 155
 
14.2%
2 91
 
8.4%
0 52
 
4.8%
7 33
 
3.0%
5 29
 
2.7%
6 22
 
2.0%
9 21
 
1.9%
4 20
 
1.8%
Other values (2) 16
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1089
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 430
39.5%
3 220
20.2%
8 155
 
14.2%
2 91
 
8.4%
0 52
 
4.8%
7 33
 
3.0%
5 29
 
2.7%
6 22
 
2.0%
9 21
 
1.9%
4 20
 
1.8%
Other values (2) 16
 
1.5%

지번주소
Text

MISSING 

Distinct418
Distinct (%)81.6%
Missing8
Missing (%)1.5%
Memory size4.2 KiB
2024-05-11T10:03:13.048852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length22.248047
Min length11

Characters and Unicode

Total characters11391
Distinct characters178
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)74.0%

Sample

1st row서울특별시 중랑구 상봉동 111번지
2nd row서울특별시 중랑구 상봉동 129번지 49호
3rd row서울특별시 중랑구 묵동 244번지 144호
4th row서울특별시 중랑구 묵동 377번지
5th row서울특별시 중랑구 상봉동 88번지 93호
ValueCountFrequency (%)
서울특별시 511
20.5%
중랑구 511
20.5%
면목동 194
 
7.8%
상봉동 83
 
3.3%
망우동 80
 
3.2%
1층 76
 
3.0%
중화동 65
 
2.6%
묵동 50
 
2.0%
신내동 40
 
1.6%
1호 35
 
1.4%
Other values (500) 849
34.0%
2024-05-11T10:03:14.719819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1983
17.4%
중 577
 
5.1%
동 538
 
4.7%
시 516
 
4.5%
서 512
 
4.5%
구 512
 
4.5%
랑 511
 
4.5%
울 511
 
4.5%
별 511
 
4.5%
특 511
 
4.5%
Other values (168) 4709
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7172
63.0%
Decimal Number 2127
 
18.7%
Space Separator 1983
 
17.4%
Dash Punctuation 96
 
0.8%
Other Punctuation 10
 
0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 577
 
8.0%
동 538
 
7.5%
시 516
 
7.2%
서 512
 
7.1%
구 512
 
7.1%
랑 511
 
7.1%
울 511
 
7.1%
별 511
 
7.1%
특 511
 
7.1%
지 339
 
4.7%
Other values (152) 2134
29.8%
Decimal Number
ValueCountFrequency (%)
1 488
22.9%
2 266
12.5%
4 220
10.3%
3 216
10.2%
5 189
 
8.9%
0 169
 
7.9%
6 157
 
7.4%
8 152
 
7.1%
7 140
 
6.6%
9 130
 
6.1%
Space Separator
ValueCountFrequency (%)
1983
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7172
63.0%
Common 4219
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 577
 
8.0%
동 538
 
7.5%
시 516
 
7.2%
서 512
 
7.1%
구 512
 
7.1%
랑 511
 
7.1%
울 511
 
7.1%
별 511
 
7.1%
특 511
 
7.1%
지 339
 
4.7%
Other values (152) 2134
29.8%
Common
ValueCountFrequency (%)
1983
47.0%
1 488
 
11.6%
2 266
 
6.3%
4 220
 
5.2%
3 216
 
5.1%
5 189
 
4.5%
0 169
 
4.0%
6 157
 
3.7%
8 152
 
3.6%
7 140
 
3.3%
Other values (6) 239
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7172
63.0%
ASCII 4219
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1983
47.0%
1 488
 
11.6%
2 266
 
6.3%
4 220
 
5.2%
3 216
 
5.1%
5 189
 
4.5%
0 169
 
4.0%
6 157
 
3.7%
8 152
 
3.6%
7 140
 
3.3%
Other values (6) 239
 
5.7%
Hangul
ValueCountFrequency (%)
중 577
 
8.0%
동 538
 
7.5%
시 516
 
7.2%
서 512
 
7.1%
구 512
 
7.1%
랑 511
 
7.1%
울 511
 
7.1%
별 511
 
7.1%
특 511
 
7.1%
지 339
 
4.7%
Other values (152) 2134
29.8%

도로명주소
Text

Distinct453
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T10:03:15.543471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length55
Mean length29.363462
Min length21

Characters and Unicode

Total characters15269
Distinct characters217
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

Unique395 ?
Unique (%)76.0%

Sample

1st row서울특별시 중랑구 면목로91길 13 (상봉동)
2nd row서울특별시 중랑구 중랑천로10길 93 (상봉동)
3rd row서울특별시 중랑구 동일로157길 5 (묵동)
4th row서울특별시 중랑구 동일로157길 59 (묵동)
5th row서울특별시 중랑구 중랑역로 147 (묵동)
ValueCountFrequency (%)
서울특별시 520
17.1%
중랑구 520
17.1%
면목동 194
 
6.4%
1층 191
 
6.3%
상봉동 83
 
2.7%
망우동 80
 
2.6%
중화동 68
 
2.2%
묵동 51
 
1.7%
신내동 40
 
1.3%
용마산로 25
 
0.8%
Other values (513) 1266
41.7%
2024-05-11T10:03:17.037566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2523
 
16.5%
1 712
 
4.7%
동 651
 
4.3%
중 639
 
4.2%
랑 558
 
3.7%
시 529
 
3.5%
로 523
 
3.4%
울 522
 
3.4%
서 522
 
3.4%
구 520
 
3.4%
Other values (207) 7570
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8937
58.5%
Space Separator 2523
 
16.5%
Decimal Number 2374
 
15.5%
Open Punctuation 520
 
3.4%
Close Punctuation 520
 
3.4%
Other Punctuation 347
 
2.3%
Uppercase Letter 23
 
0.2%
Dash Punctuation 20
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 651
 
7.3%
중 639
 
7.2%
랑 558
 
6.2%
시 529
 
5.9%
로 523
 
5.9%
울 522
 
5.8%
서 522
 
5.8%
구 520
 
5.8%
별 520
 
5.8%
특 520
 
5.8%
Other values (182) 3433
38.4%
Decimal Number
ValueCountFrequency (%)
1 712
30.0%
2 284
 
12.0%
3 217
 
9.1%
0 214
 
9.0%
4 207
 
8.7%
5 196
 
8.3%
6 161
 
6.8%
9 147
 
6.2%
7 126
 
5.3%
8 110
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
43.5%
A 5
21.7%
M 2
 
8.7%
R 2
 
8.7%
C 2
 
8.7%
I 1
 
4.3%
U 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
g 2
50.0%
l 2
50.0%
Space Separator
ValueCountFrequency (%)
2523
100.0%
Open Punctuation
ValueCountFrequency (%)
( 520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 520
100.0%
Other Punctuation
ValueCountFrequency (%)
, 347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8937
58.5%
Common 6305
41.3%
Latin 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 651
 
7.3%
중 639
 
7.2%
랑 558
 
6.2%
시 529
 
5.9%
로 523
 
5.9%
울 522
 
5.8%
서 522
 
5.8%
구 520
 
5.8%
별 520
 
5.8%
특 520
 
5.8%
Other values (182) 3433
38.4%
Common
ValueCountFrequency (%)
2523
40.0%
1 712
 
11.3%
( 520
 
8.2%
) 520
 
8.2%
, 347
 
5.5%
2 284
 
4.5%
3 217
 
3.4%
0 214
 
3.4%
4 207
 
3.3%
5 196
 
3.1%
Other values (6) 565
 
9.0%
Latin
ValueCountFrequency (%)
B 10
37.0%
A 5
18.5%
g 2
 
7.4%
M 2
 
7.4%
R 2
 
7.4%
C 2
 
7.4%
l 2
 
7.4%
I 1
 
3.7%
U 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8937
58.5%
ASCII 6332
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2523
39.8%
1 712
 
11.2%
( 520
 
8.2%
) 520
 
8.2%
, 347
 
5.5%
2 284
 
4.5%
3 217
 
3.4%
0 214
 
3.4%
4 207
 
3.3%
5 196
 
3.1%
Other values (15) 592
 
9.3%
Hangul
ValueCountFrequency (%)
동 651
 
7.3%
중 639
 
7.2%
랑 558
 
6.2%
시 529
 
5.9%
로 523
 
5.9%
울 522
 
5.8%
서 522
 
5.8%
구 520
 
5.8%
별 520
 
5.8%
특 520
 
5.8%
Other values (182) 3433
38.4%

도로명우편번호
Real number (ℝ)

Distinct223
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10851.215
Minimum2001
Maximum131879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T10:03:17.629235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2015
Q12072.75
median2141
Q32208
95-th percentile131774.1
Maximum131879
Range129878
Interquartile range (IQR)135.25

Descriptive statistics

Standard deviation32490.572
Coefficient of variation (CV)2.9941874
Kurtosis10.037242
Mean10851.215
Median Absolute Deviation (MAD)67.5
Skewness3.4638846
Sum5642632
Variance1.0556373 × 109
MonotonicityNot monotonic
2024-05-11T10:03:18.286032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2252 9
 
1.7%
2244 8
 
1.5%
2057 7
 
1.3%
2228 7
 
1.3%
2081 6
 
1.2%
2173 6
 
1.2%
2139 6
 
1.2%
2150 6
 
1.2%
2154 6
 
1.2%
2126 5
 
1.0%
Other values (213) 454
87.3%
ValueCountFrequency (%)
2001 1
 
0.2%
2002 1
 
0.2%
2004 1
 
0.2%
2005 3
0.6%
2007 1
 
0.2%
2008 2
 
0.4%
2009 1
 
0.2%
2010 2
 
0.4%
2011 5
1.0%
2012 2
 
0.4%
ValueCountFrequency (%)
131879 1
 
0.2%
131877 1
 
0.2%
131861 2
0.4%
131859 2
0.4%
131858 1
 
0.2%
131853 2
0.4%
131835 1
 
0.2%
131831 4
0.8%
131830 1
 
0.2%
131828 1
 
0.2%

사업장명
Text

Distinct458
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T10:03:19.242684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.286538
Min length3

Characters and Unicode

Total characters5349
Distinct characters246
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

Unique405 ?
Unique (%)77.9%

Sample

1st row씨유 상봉점
2nd rowGS25 상봉행복점
3rd rowGS25 먹골역점
4th rowGS25 묵동현대점
5th row씨유 중랑경찰서점
ValueCountFrequency (%)
씨유 119
 
12.6%
gs25 84
 
8.9%
세븐일레븐 55
 
5.8%
주)코리아세븐 38
 
4.0%
지에스25 23
 
2.4%
지에스(gs)25 20
 
2.1%
이마트24 15
 
1.6%
미니스톱 15
 
1.6%
cu 12
 
1.3%
지에스25(gs25 9
 
1.0%
Other values (386) 556
58.8%
2024-05-11T10:03:20.675519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 474
 
8.9%
430
 
8.0%
2 214
 
4.0%
5 197
 
3.7%
중 170
 
3.2%
씨 160
 
3.0%
유 159
 
3.0%
븐 156
 
2.9%
S 152
 
2.8%
G 148
 
2.8%
Other values (236) 3089
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3889
72.7%
Decimal Number 452
 
8.5%
Space Separator 430
 
8.0%
Uppercase Letter 376
 
7.0%
Close Punctuation 95
 
1.8%
Open Punctuation 95
 
1.8%
Lowercase Letter 8
 
0.1%
Other Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 474
 
12.2%
중 170
 
4.4%
씨 160
 
4.1%
유 159
 
4.1%
븐 156
 
4.0%
면 142
 
3.7%
목 140
 
3.6%
스 127
 
3.3%
일 105
 
2.7%
랑 102
 
2.6%
Other values (203) 2154
55.4%
Uppercase Letter
ValueCountFrequency (%)
S 152
40.4%
G 148
39.4%
C 27
 
7.2%
U 27
 
7.2%
L 4
 
1.1%
I 3
 
0.8%
P 3
 
0.8%
E 3
 
0.8%
J 2
 
0.5%
R 1
 
0.3%
Other values (6) 6
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 214
47.3%
5 197
43.6%
4 17
 
3.8%
3 8
 
1.8%
6 7
 
1.5%
1 4
 
0.9%
7 3
 
0.7%
9 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
p 2
25.0%
u 2
25.0%
s 2
25.0%
l 2
25.0%
Space Separator
ValueCountFrequency (%)
430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3889
72.7%
Common 1076
 
20.1%
Latin 384
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 474
 
12.2%
중 170
 
4.4%
씨 160
 
4.1%
유 159
 
4.1%
븐 156
 
4.0%
면 142
 
3.7%
목 140
 
3.6%
스 127
 
3.3%
일 105
 
2.7%
랑 102
 
2.6%
Other values (203) 2154
55.4%
Latin
ValueCountFrequency (%)
S 152
39.6%
G 148
38.5%
C 27
 
7.0%
U 27
 
7.0%
L 4
 
1.0%
I 3
 
0.8%
P 3
 
0.8%
E 3
 
0.8%
p 2
 
0.5%
u 2
 
0.5%
Other values (10) 13
 
3.4%
Common
ValueCountFrequency (%)
430
40.0%
2 214
19.9%
5 197
18.3%
) 95
 
8.8%
( 95
 
8.8%
4 17
 
1.6%
3 8
 
0.7%
6 7
 
0.7%
1 4
 
0.4%
. 3
 
0.3%
Other values (3) 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3889
72.7%
ASCII 1460
 
27.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 474
 
12.2%
중 170
 
4.4%
씨 160
 
4.1%
유 159
 
4.1%
븐 156
 
4.0%
면 142
 
3.7%
목 140
 
3.6%
스 127
 
3.3%
일 105
 
2.7%
랑 102
 
2.6%
Other values (203) 2154
55.4%
ASCII
ValueCountFrequency (%)
430
29.5%
2 214
14.7%
5 197
13.5%
S 152
 
10.4%
G 148
 
10.1%
) 95
 
6.5%
( 95
 
6.5%
C 27
 
1.8%
U 27
 
1.8%
4 17
 
1.2%
Other values (23) 58
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct520
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2013-09-23 22:04:31
Maximum2024-05-07 14:29:22
2024-05-11T10:03:21.271735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:03:21.770262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
I
321 
U
199 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 321
61.7%
U 199
38.3%

Length

2024-05-11T10:03:22.242722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:03:22.665011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 321
61.7%
u 199
38.3%

데이터갱신일자
Date

Distinct260
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T10:03:23.252548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:03:23.656983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing520
Missing (%)100.0%
Memory size4.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct347
Distinct (%)67.4%
Missing5
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean207630.24
Minimum206280.48
Maximum209521.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T10:03:23.972039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206280.48
5-th percentile206585
Q1206949.96
median207545.43
Q3208201.16
95-th percentile208950.21
Maximum209521.67
Range3241.1867
Interquartile range (IQR)1251.2053

Descriptive statistics

Standard deviation764.00668
Coefficient of variation (CV)0.0036796503
Kurtosis-0.83458514
Mean207630.24
Median Absolute Deviation (MAD)636.80755
Skewness0.38670141
Sum1.0692958 × 108
Variance583706.21
MonotonicityNot monotonic
2024-05-11T10:03:24.346723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208889.864990793 5
 
1.0%
206807.690776656 4
 
0.8%
206888.682623817 4
 
0.8%
207982.810825453 4
 
0.8%
207335.315375359 4
 
0.8%
208267.592391698 4
 
0.8%
207646.140328058 4
 
0.8%
207053.593594099 4
 
0.8%
207574.017340683 4
 
0.8%
206646.371514179 3
 
0.6%
Other values (337) 475
91.3%
(Missing) 5
 
1.0%
ValueCountFrequency (%)
206280.483272835 1
 
0.2%
206328.785504793 1
 
0.2%
206426.855476925 3
0.6%
206453.80561284 1
 
0.2%
206459.881351271 1
 
0.2%
206465.321541553 1
 
0.2%
206472.224945227 1
 
0.2%
206481.025807683 2
0.4%
206494.386747812 1
 
0.2%
206520.805918287 1
 
0.2%
ValueCountFrequency (%)
209521.669970747 1
 
0.2%
209467.728146722 1
 
0.2%
209439.9808135 1
 
0.2%
209434.936710026 1
 
0.2%
209416.444222284 2
0.4%
209353.326092817 2
0.4%
209328.918216494 1
 
0.2%
209273.201181589 1
 
0.2%
209205.517992755 1
 
0.2%
209158.629853248 3
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct345
Distinct (%)67.0%
Missing5
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean454751.01
Minimum452077.78
Maximum457462.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T10:03:24.724264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452077.78
5-th percentile452665.43
Q1453942.31
median454784.31
Q3455522.93
95-th percentile456848.05
Maximum457462.77
Range5384.9838
Interquartile range (IQR)1580.6193

Descriptive statistics

Standard deviation1184.5632
Coefficient of variation (CV)0.002604861
Kurtosis-0.42442814
Mean454751.01
Median Absolute Deviation (MAD)785.57139
Skewness-0.029000304
Sum2.3419677 × 108
Variance1403189.9
MonotonicityNot monotonic
2024-05-11T10:03:25.160404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455878.542779459 5
 
1.0%
454919.551481899 5
 
1.0%
454279.576512807 4
 
0.8%
455745.397688787 4
 
0.8%
452290.247747455 4
 
0.8%
454980.023827024 4
 
0.8%
455042.983909137 4
 
0.8%
452665.433181777 4
 
0.8%
455254.740987472 4
 
0.8%
452808.828351677 4
 
0.8%
Other values (335) 473
91.0%
(Missing) 5
 
1.0%
ValueCountFrequency (%)
452077.782812274 1
 
0.2%
452180.142703177 1
 
0.2%
452180.759882096 1
 
0.2%
452237.321233024 3
0.6%
452290.247747455 4
0.8%
452296.055921315 2
0.4%
452449.038404575 2
0.4%
452486.203077277 2
0.4%
452504.829852921 1
 
0.2%
452544.850851529 3
0.6%
ValueCountFrequency (%)
457462.766652935 3
0.6%
457283.215342184 1
 
0.2%
457256.144723364 1
 
0.2%
457210.837407128 1
 
0.2%
457208.857551996 2
0.4%
457199.343836097 1
 
0.2%
457183.637796144 1
 
0.2%
457122.700436003 1
 
0.2%
457120.207807724 1
 
0.2%
457116.696687486 2
0.4%

판매점영업면적
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)38.2%
Missing174
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean60.116763
Minimum0
Maximum233.64
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T10:03:25.576718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.25
Q142.9
median52.945
Q368.67
95-th percentile111.225
Maximum233.64
Range233.64
Interquartile range (IQR)25.77

Descriptive statistics

Standard deviation29.00864
Coefficient of variation (CV)0.4825383
Kurtosis6.6344057
Mean60.116763
Median Absolute Deviation (MAD)13.055
Skewness1.8758292
Sum20800.4
Variance841.50121
MonotonicityNot monotonic
2024-05-11T10:03:26.069622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.0 29
 
5.6%
50.0 27
 
5.2%
33.0 21
 
4.0%
49.5 16
 
3.1%
60.0 16
 
3.1%
56.0 11
 
2.1%
43.0 8
 
1.5%
46.0 8
 
1.5%
40.0 7
 
1.3%
59.4 7
 
1.3%
Other values (122) 196
37.7%
(Missing) 174
33.5%
ValueCountFrequency (%)
0.0 3
0.6%
3.3 1
 
0.2%
13.0 2
0.4%
15.0 1
 
0.2%
15.5 1
 
0.2%
22.0 1
 
0.2%
23.0 1
 
0.2%
24.0 1
 
0.2%
25.0 1
 
0.2%
26.0 4
0.8%
ValueCountFrequency (%)
233.64 1
 
0.2%
199.5 1
 
0.2%
198.0 1
 
0.2%
162.9 1
 
0.2%
160.0 1
 
0.2%
145.0 1
 
0.2%
140.25 1
 
0.2%
133.34 1
 
0.2%
132.0 3
0.6%
130.0 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03060000PHMH32012306003408750000120121106<NA>3폐업3폐업20180904<NA><NA><NA>02-432-9948<NA>131860서울특별시 중랑구 상봉동 111번지서울특별시 중랑구 면목로91길 13 (상봉동)2138씨유 상봉점2018-09-05 08:56:24U2018-09-05 23:59:59.0<NA>207448.561271454661.159163<NA>
13060000PHMH32012306003408750000220121106<NA>3폐업3폐업20140514<NA><NA><NA>02-493-8308<NA>131861서울특별시 중랑구 상봉동 129번지 49호서울특별시 중랑구 중랑천로10길 93 (상봉동)131861GS25 상봉행복점2014-05-14 10:43:38I2018-08-31 23:59:59.0<NA>206819.885453454512.847769<NA>
23060000PHMH32012306003408750000320121106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-979-2025<NA>131852서울특별시 중랑구 묵동 244번지 144호서울특별시 중랑구 동일로157길 5 (묵동)2009GS25 먹골역점2016-12-26 13:19:25I2018-08-31 23:59:59.0<NA>206764.43036456384.565394<NA>
33060000PHMH32012306003408750000520121106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-975-2025<NA>131852서울특별시 중랑구 묵동 377번지서울특별시 중랑구 동일로157길 59 (묵동)2008GS25 묵동현대점2015-07-22 13:23:42I2018-08-31 23:59:59.0<NA>206494.386748456323.674372<NA>
43060000PHMH32012306003408750000620121115<NA>3폐업3폐업20130325<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중랑역로 147 (묵동)131853씨유 중랑경찰서점2014-04-10 13:24:52I2018-08-31 23:59:59.0<NA>206691.760598456039.627167<NA>
53060000PHMH32012306003408750000720121115<NA>3폐업3폐업20161122<NA><NA><NA>02-431-4422<NA><NA><NA>서울특별시 중랑구 용마산로116길 50 (망우동)2177씨유 망우제일점2016-11-22 16:57:41I2018-08-31 23:59:59.0<NA>209046.874953455246.903296<NA>
63060000PHMH32012306003408750000820121116<NA>3폐업3폐업20160318<NA><NA><NA>491-0642<NA>131859서울특별시 중랑구 상봉동 88번지 93호서울특별시 중랑구 봉우재로33길 72 (상봉동)2151(주)바이더웨이 상봉점2016-03-18 15:11:47I2018-08-31 23:59:59.0<NA>207821.751921454768.652445<NA>
73060000PHMH32012306003408750000920121116<NA>3폐업3폐업20130723<NA><NA><NA>02-434-7485<NA>131859서울특별시 중랑구 상봉동 89번지 7호서울특별시 중랑구 망우로50길 25 (상봉동)131859(주)바이더웨이 상봉2동2014-04-10 13:30:59I2018-08-31 23:59:59.0<NA>207821.83019454855.431155<NA>
83060000PHMH32012306003408750001020121106<NA>3폐업3폐업20190226<NA><NA><NA>02-949-0525<NA>131848서울특별시 중랑구 묵동 176번지 1호서울특별시 중랑구 공릉로2길 8 (묵동)2037GS25 먹골보람점2019-02-26 16:39:29U2019-02-28 02:40:00.0<NA>206848.178145456620.084154<NA>
93060000PHMH32012306003408750001120121106<NA>3폐업3폐업20150703<NA><NA><NA>02-494-2924<NA>131830서울특별시 중랑구 면목동 372번지 20호서울특별시 중랑구 면목로 247 (면목동)131830GS25 용마산역점2015-07-03 17:20:38I2018-08-31 23:59:59.0<NA>207461.714561452544.850852<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
5103060000PHMH3202430600340875000032024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 111-2서울특별시 중랑구 봉화산로19길 8-4, 1층 (중화동)2049씨유 중화봉화점(CU)2024-01-24 11:29:15I2023-11-30 22:06:00.0<NA>207108.614285455516.069936<NA>
5113060000PHMH3202430600340875000042024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스서울특별시 중랑구 용마산로 670, 2층 C238, C239호 (망우동, 신내역 프라디움 더 테라스)2057지에스25 신내프라디움점2024-01-25 10:49:35I2023-11-30 22:07:00.0<NA>208947.072331456501.73508<NA>
5123060000PHMH3202430600340875000052024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 582-33 성일빌라서울특별시 중랑구 면목로40길 44, 1층 101호 (면목동, 성일빌라)2252지에스(GS)25 면목금호2024-02-02 08:41:46I2023-12-02 00:04:00.0<NA>207803.601113452852.613431<NA>
5133060000PHMH3202430600340875000062024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-436-4767<NA><NA>서울특별시 중랑구 중화동 133 행복쉐르빌서울특별시 중랑구 봉화산로30길 31, 행복쉐르빌 1층 (중화동)2090지에스(GS)25 상봉중화점2024-03-20 10:06:00I2023-12-02 22:02:00.0<NA>207463.358398455401.307453<NA>
5143060000PHMH3202430600340875000072024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 172-58서울특별시 중랑구 동일로95길 9, 1층 (면목동)2232지에스(GS)25 면목동일점2024-03-28 09:15:49I2023-12-02 21:00:00.0<NA>206912.871906453607.035883<NA>
5153060000PHMH3202430600340875000082024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1577-8007<NA><NA>서울특별시 중랑구 면목동 177-38서울특별시 중랑구 겸재로3길 30, 1층 (면목동)2134씨유면목한신점(CU)2024-04-16 17:53:35I2023-12-03 23:08:00.0<NA>206707.400663453893.266555<NA>
5163060000PHMH3202430600340875000092024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-493-7001<NA><NA>서울특별시 중랑구 면목동 15-1서울특별시 중랑구 용마산로96길 16 (면목동)2189씨유 면목하모니점(CU)2024-04-22 17:06:30I2023-12-03 22:04:00.0<NA>208608.730097454213.122853<NA>
5173060000PHMH3202430600340875000102024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 795 새한아파트서울특별시 중랑구 용마산로 616, 상가동 1층 111호 (신내동, 새한아파트)2058지에스25(GS25) 신내새한2024-04-22 17:23:21I2023-12-03 22:04:00.0<NA>208889.864991455878.542779<NA>
5183060000PHMH3202430600340875000112024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 2 현동학당서울특별시 중랑구 신내로25가길 2, 현동학당 1층 107호 (묵동)2021지에스(GS)25 화랑대역2024-04-23 09:14:54I2023-12-03 22:05:00.0<NA>207357.595178457462.766653<NA>
5193060000PHMH3202430600340875000122024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 207-20 오리슈퍼서울특별시 중랑구 용마산로116길 81, 1층 (망우동)2177지에스(GS)25망우청광점2024-04-30 17:03:25I2023-12-05 00:02:00.0<NA>209205.517993455297.298258<NA>