Overview

Dataset statistics

Number of variables26
Number of observations625
Missing cells5355
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory135.0 KiB
Average record size in memory221.2 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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16296/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 625 (100.0%) missing valuesMissing
폐업일자 has 268 (42.9%) missing valuesMissing
휴업시작일자 has 625 (100.0%) missing valuesMissing
휴업종료일자 has 625 (100.0%) missing valuesMissing
재개업일자 has 625 (100.0%) missing valuesMissing
전화번호 has 329 (52.6%) missing valuesMissing
소재지면적 has 625 (100.0%) missing valuesMissing
소재지우편번호 has 356 (57.0%) missing valuesMissing
지번주소 has 102 (16.3%) missing valuesMissing
업태구분명 has 625 (100.0%) missing valuesMissing
판매점영업면적 has 538 (86.1%) 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
판매점영업면적 has 48 (7.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:45:29.758317
Analysis finished2024-05-11 05:45:30.564608
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
3100000
625 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 625
100.0%

Length

2024-05-11T14:45:30.654120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:30.806869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 625
100.0%

관리번호
Text

UNIQUE 

Distinct625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-05-11T14:45:31.088257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters15625
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

Unique625 ?
Unique (%)100.0%

Sample

1st rowPHMH320123100034087500001
2nd rowPHMH320123100034087500002
3rd rowPHMH320123100034087500003
4th rowPHMH320123100034087500004
5th rowPHMH320123100034087500005
ValueCountFrequency (%)
phmh320123100034087500001 1
 
0.2%
phmh320183100034087500014 1
 
0.2%
phmh320183100034087500023 1
 
0.2%
phmh320183100034087500008 1
 
0.2%
phmh320183100034087500009 1
 
0.2%
phmh320183100034087500010 1
 
0.2%
phmh320183100034087500011 1
 
0.2%
phmh320183100034087500012 1
 
0.2%
phmh320183100034087500013 1
 
0.2%
phmh320183100034087500016 1
 
0.2%
Other values (615) 615
98.4%
2024-05-11T14:45:31.670568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5192
33.2%
3 2151
13.8%
1 1373
 
8.8%
H 1250
 
8.0%
2 1093
 
7.0%
4 788
 
5.0%
5 767
 
4.9%
7 762
 
4.9%
8 746
 
4.8%
P 625
 
4.0%
Other values (3) 878
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13125
84.0%
Uppercase Letter 2500
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5192
39.6%
3 2151
16.4%
1 1373
 
10.5%
2 1093
 
8.3%
4 788
 
6.0%
5 767
 
5.8%
7 762
 
5.8%
8 746
 
5.7%
6 131
 
1.0%
9 122
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 1250
50.0%
P 625
25.0%
M 625
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13125
84.0%
Latin 2500
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5192
39.6%
3 2151
16.4%
1 1373
 
10.5%
2 1093
 
8.3%
4 788
 
6.0%
5 767
 
5.8%
7 762
 
5.8%
8 746
 
5.7%
6 131
 
1.0%
9 122
 
0.9%
Latin
ValueCountFrequency (%)
H 1250
50.0%
P 625
25.0%
M 625
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5192
33.2%
3 2151
13.8%
1 1373
 
8.8%
H 1250
 
8.0%
2 1093
 
7.0%
4 788
 
5.0%
5 767
 
4.9%
7 762
 
4.9%
8 746
 
4.8%
P 625
 
4.0%
Other values (3) 878
 
5.6%

인허가일자
Date

Distinct428
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2012-10-29 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T14:45:31.904730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:32.426754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing625
Missing (%)100.0%
Memory size5.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
3
352 
1
268 
4
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 352
56.3%
1 268
42.9%
4 5
 
0.8%

Length

2024-05-11T14:45:32.674755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:32.838194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 352
56.3%
1 268
42.9%
4 5
 
0.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
폐업
352 
영업/정상
268 
취소/말소/만료/정지/중지
 
5

Length

Max length14
Median length2
Mean length3.3824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 352
56.3%
영업/정상 268
42.9%
취소/말소/만료/정지/중지 5
 
0.8%

Length

2024-05-11T14:45:33.018209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:33.196579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 352
56.3%
영업/정상 268
42.9%
취소/말소/만료/정지/중지 5
 
0.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
3
352 
13
268 
24
 
5

Length

Max length2
Median length1
Mean length1.4368
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 352
56.3%
13 268
42.9%
24 5
 
0.8%

Length

2024-05-11T14:45:33.388485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:33.559587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 352
56.3%
13 268
42.9%
24 5
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
폐업
352 
영업중
268 
직권폐업
 
5

Length

Max length4
Median length2
Mean length2.4448
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 352
56.3%
영업중 268
42.9%
직권폐업 5
 
0.8%

Length

2024-05-11T14:45:33.794215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:34.043810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 352
56.3%
영업중 268
42.9%
직권폐업 5
 
0.8%

폐업일자
Date

MISSING 

Distinct316
Distinct (%)88.5%
Missing268
Missing (%)42.9%
Memory size5.0 KiB
Minimum2012-11-20 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:45:34.245740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:34.485333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing625
Missing (%)100.0%
Memory size5.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing625
Missing (%)100.0%
Memory size5.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing625
Missing (%)100.0%
Memory size5.6 KiB

전화번호
Text

MISSING 

Distinct264
Distinct (%)89.2%
Missing329
Missing (%)52.6%
Memory size5.0 KiB
2024-05-11T14:45:34.906024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8006757
Min length8

Characters and Unicode

Total characters2605
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

Unique235 ?
Unique (%)79.4%

Sample

1st row936-0635
2nd row02-970-2123
3rd row935-8984
4th row977-4007
5th row939-3146
ValueCountFrequency (%)
932-8909 3
 
1.0%
930-5597 3
 
1.0%
909-2042 3
 
1.0%
935-8976 2
 
0.7%
949-0840 2
 
0.7%
979-0199 2
 
0.7%
976-0827 2
 
0.7%
951-0309 2
 
0.7%
935-5517 2
 
0.7%
976-3569 2
 
0.7%
Other values (254) 273
92.2%
2024-05-11T14:45:35.579290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 424
16.3%
- 357
13.7%
3 285
10.9%
0 285
10.9%
2 229
8.8%
7 218
8.4%
1 211
8.1%
5 167
 
6.4%
8 164
 
6.3%
4 141
 
5.4%
Other values (2) 124
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2247
86.3%
Dash Punctuation 357
 
13.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 424
18.9%
3 285
12.7%
0 285
12.7%
2 229
10.2%
7 218
9.7%
1 211
9.4%
5 167
 
7.4%
8 164
 
7.3%
4 141
 
6.3%
6 123
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 357
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 424
16.3%
- 357
13.7%
3 285
10.9%
0 285
10.9%
2 229
8.8%
7 218
8.4%
1 211
8.1%
5 167
 
6.4%
8 164
 
6.3%
4 141
 
5.4%
Other values (2) 124
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 424
16.3%
- 357
13.7%
3 285
10.9%
0 285
10.9%
2 229
8.8%
7 218
8.4%
1 211
8.1%
5 167
 
6.4%
8 164
 
6.3%
4 141
 
5.4%
Other values (2) 124
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing625
Missing (%)100.0%
Memory size5.6 KiB

소재지우편번호
Text

MISSING 

Distinct104
Distinct (%)38.7%
Missing356
Missing (%)57.0%
Memory size5.0 KiB
2024-05-11T14:45:36.041069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1115242
Min length6

Characters and Unicode

Total characters1644
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

Unique54 ?
Unique (%)20.1%

Sample

1st row139816
2nd row139706
3rd row139208
4th row139807
5th row139-821
ValueCountFrequency (%)
139801 13
 
4.8%
139816 13
 
4.8%
139804 12
 
4.5%
139220 12
 
4.5%
139837 8
 
3.0%
139807 7
 
2.6%
139845 7
 
2.6%
139856 7
 
2.6%
139808 7
 
2.6%
139800 7
 
2.6%
Other values (94) 176
65.4%
2024-05-11T14:45:36.694063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 347
21.1%
3 319
19.4%
9 299
18.2%
8 243
14.8%
0 128
 
7.8%
2 81
 
4.9%
6 57
 
3.5%
4 50
 
3.0%
7 49
 
3.0%
5 41
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1614
98.2%
Dash Punctuation 30
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 347
21.5%
3 319
19.8%
9 299
18.5%
8 243
15.1%
0 128
 
7.9%
2 81
 
5.0%
6 57
 
3.5%
4 50
 
3.1%
7 49
 
3.0%
5 41
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 347
21.1%
3 319
19.4%
9 299
18.2%
8 243
14.8%
0 128
 
7.8%
2 81
 
4.9%
6 57
 
3.5%
4 50
 
3.0%
7 49
 
3.0%
5 41
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 347
21.1%
3 319
19.4%
9 299
18.2%
8 243
14.8%
0 128
 
7.8%
2 81
 
4.9%
6 57
 
3.5%
4 50
 
3.0%
7 49
 
3.0%
5 41
 
2.5%

지번주소
Text

MISSING 

Distinct470
Distinct (%)89.9%
Missing102
Missing (%)16.3%
Memory size5.0 KiB
2024-05-11T14:45:37.071534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length25.399618
Min length13

Characters and Unicode

Total characters13284
Distinct characters200
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

Unique425 ?
Unique (%)81.3%

Sample

1st row서울특별시 노원구 상계동 1318번지
2nd row서울특별시 노원구 공릉2동 215번지 4호 원자력의학원
3rd row서울특별시 노원구 상계동 1048번지 6호
4th row서울특별시 노원구 공릉동 568번지 1호
5th row서울특별시 노원구 상계동 716번지 104호
ValueCountFrequency (%)
서울특별시 521
18.7%
노원구 521
18.7%
상계동 227
 
8.1%
공릉동 118
 
4.2%
중계동 83
 
3.0%
1층 82
 
2.9%
월계동 64
 
2.3%
1호 44
 
1.6%
하계동 26
 
0.9%
2호 24
 
0.9%
Other values (591) 1078
38.7%
2024-05-11T14:45:37.763475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2275
 
17.1%
1 690
 
5.2%
동 560
 
4.2%
원 539
 
4.1%
노 532
 
4.0%
구 526
 
4.0%
울 525
 
4.0%
시 523
 
3.9%
서 521
 
3.9%
별 521
 
3.9%
Other values (190) 6072
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8202
61.7%
Decimal Number 2666
 
20.1%
Space Separator 2275
 
17.1%
Dash Punctuation 89
 
0.7%
Other Punctuation 42
 
0.3%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 560
 
6.8%
원 539
 
6.6%
노 532
 
6.5%
구 526
 
6.4%
울 525
 
6.4%
시 523
 
6.4%
서 521
 
6.4%
별 521
 
6.4%
특 521
 
6.4%
계 430
 
5.2%
Other values (170) 3004
36.6%
Decimal Number
ValueCountFrequency (%)
1 690
25.9%
3 301
11.3%
2 265
 
9.9%
0 233
 
8.7%
5 228
 
8.6%
6 226
 
8.5%
4 217
 
8.1%
7 193
 
7.2%
9 161
 
6.0%
8 152
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 41
97.6%
. 1
 
2.4%
Space Separator
ValueCountFrequency (%)
2275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8202
61.7%
Common 5079
38.2%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 560
 
6.8%
원 539
 
6.6%
노 532
 
6.5%
구 526
 
6.4%
울 525
 
6.4%
시 523
 
6.4%
서 521
 
6.4%
별 521
 
6.4%
특 521
 
6.4%
계 430
 
5.2%
Other values (170) 3004
36.6%
Common
ValueCountFrequency (%)
2275
44.8%
1 690
 
13.6%
3 301
 
5.9%
2 265
 
5.2%
0 233
 
4.6%
5 228
 
4.5%
6 226
 
4.4%
4 217
 
4.3%
7 193
 
3.8%
9 161
 
3.2%
Other values (7) 290
 
5.7%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8202
61.7%
ASCII 5082
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2275
44.8%
1 690
 
13.6%
3 301
 
5.9%
2 265
 
5.2%
0 233
 
4.6%
5 228
 
4.5%
6 226
 
4.4%
4 217
 
4.3%
7 193
 
3.8%
9 161
 
3.2%
Other values (10) 293
 
5.8%
Hangul
ValueCountFrequency (%)
동 560
 
6.8%
원 539
 
6.6%
노 532
 
6.5%
구 526
 
6.4%
울 525
 
6.4%
시 523
 
6.4%
서 521
 
6.4%
별 521
 
6.4%
특 521
 
6.4%
계 430
 
5.2%
Other values (170) 3004
36.6%

도로명주소
Text

Distinct559
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-05-11T14:45:38.225636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length51
Mean length34.1568
Min length21

Characters and Unicode

Total characters21348
Distinct characters244
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

Unique503 ?
Unique (%)80.5%

Sample

1st row서울특별시 노원구 상계로23다길 13-8 (상계동, 101-119(상계동,노원아이파크))
2nd row서울특별시 노원구 노원로 75 (공릉동, 원자력의학원)
3rd row서울특별시 노원구 동일로237길 46 (상계동)
4th row서울특별시 노원구 동일로183길 9 (공릉동)
5th row서울특별시 노원구 노해로 485 (상계동)
ValueCountFrequency (%)
서울특별시 625
 
15.3%
노원구 625
 
15.3%
상계동 265
 
6.5%
1층 248
 
6.1%
공릉동 146
 
3.6%
중계동 93
 
2.3%
월계동 85
 
2.1%
동일로 61
 
1.5%
101호 47
 
1.1%
하계동 34
 
0.8%
Other values (755) 1864
45.5%
2024-05-11T14:45:38.947070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3469
 
16.2%
1 1345
 
6.3%
동 911
 
4.3%
, 754
 
3.5%
노 699
 
3.3%
원 693
 
3.2%
계 651
 
3.0%
구 632
 
3.0%
울 629
 
2.9%
) 628
 
2.9%
Other values (234) 10937
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11936
55.9%
Decimal Number 3861
 
18.1%
Space Separator 3469
 
16.2%
Other Punctuation 757
 
3.5%
Close Punctuation 628
 
2.9%
Open Punctuation 628
 
2.9%
Dash Punctuation 48
 
0.2%
Uppercase Letter 15
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 911
 
7.6%
노 699
 
5.9%
원 693
 
5.8%
계 651
 
5.5%
구 632
 
5.3%
울 629
 
5.3%
로 628
 
5.3%
서 627
 
5.3%
시 626
 
5.2%
별 625
 
5.2%
Other values (213) 5215
43.7%
Decimal Number
ValueCountFrequency (%)
1 1345
34.8%
2 487
 
12.6%
0 439
 
11.4%
3 312
 
8.1%
4 312
 
8.1%
7 234
 
6.1%
5 194
 
5.0%
9 181
 
4.7%
8 181
 
4.7%
6 176
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
60.0%
A 4
26.7%
K 1
 
6.7%
S 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 754
99.6%
. 3
 
0.4%
Space Separator
ValueCountFrequency (%)
3469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 628
100.0%
Open Punctuation
ValueCountFrequency (%)
( 628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11936
55.9%
Common 9397
44.0%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 911
 
7.6%
노 699
 
5.9%
원 693
 
5.8%
계 651
 
5.5%
구 632
 
5.3%
울 629
 
5.3%
로 628
 
5.3%
서 627
 
5.3%
시 626
 
5.2%
별 625
 
5.2%
Other values (213) 5215
43.7%
Common
ValueCountFrequency (%)
3469
36.9%
1 1345
 
14.3%
, 754
 
8.0%
) 628
 
6.7%
( 628
 
6.7%
2 487
 
5.2%
0 439
 
4.7%
3 312
 
3.3%
4 312
 
3.3%
7 234
 
2.5%
Other values (7) 789
 
8.4%
Latin
ValueCountFrequency (%)
B 9
60.0%
A 4
26.7%
K 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11936
55.9%
ASCII 9412
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3469
36.9%
1 1345
 
14.3%
, 754
 
8.0%
) 628
 
6.7%
( 628
 
6.7%
2 487
 
5.2%
0 439
 
4.7%
3 312
 
3.3%
4 312
 
3.3%
7 234
 
2.5%
Other values (11) 804
 
8.5%
Hangul
ValueCountFrequency (%)
동 911
 
7.6%
노 699
 
5.9%
원 693
 
5.8%
계 651
 
5.5%
구 632
 
5.3%
울 629
 
5.3%
로 628
 
5.3%
서 627
 
5.3%
시 626
 
5.2%
별 625
 
5.2%
Other values (213) 5215
43.7%

도로명우편번호
Real number (ℝ)

Distinct257
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19862.149
Minimum1600
Maximum139957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-05-11T14:45:39.169721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1600
5-th percentile1620
Q11689
median1775
Q31865
95-th percentile139822.6
Maximum139957
Range138357
Interquartile range (IQR)176

Descriptive statistics

Standard deviation46630.872
Coefficient of variation (CV)2.3477254
Kurtosis2.8049675
Mean19862.149
Median Absolute Deviation (MAD)86
Skewness2.1899662
Sum12413843
Variance2.1744382 × 109
MonotonicityNot monotonic
2024-05-11T14:45:39.369896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1849 13
 
2.1%
1693 8
 
1.3%
1604 8
 
1.3%
1695 8
 
1.3%
1852 8
 
1.3%
1762 8
 
1.3%
1689 8
 
1.3%
1662 7
 
1.1%
1694 7
 
1.1%
139220 7
 
1.1%
Other values (247) 543
86.9%
ValueCountFrequency (%)
1600 1
 
0.2%
1601 2
 
0.3%
1604 8
1.3%
1605 1
 
0.2%
1606 1
 
0.2%
1607 1
 
0.2%
1608 5
0.8%
1609 2
 
0.3%
1611 2
 
0.3%
1614 2
 
0.3%
ValueCountFrequency (%)
139957 1
 
0.2%
139942 2
0.3%
139940 1
 
0.2%
139918 1
 
0.2%
139871 1
 
0.2%
139869 2
0.3%
139868 1
 
0.2%
139862 1
 
0.2%
139860 3
0.5%
139856 2
0.3%

사업장명
Text

Distinct518
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-05-11T14:45:39.787664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.5568
Min length3

Characters and Unicode

Total characters5973
Distinct characters255
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

Unique434 ?
Unique (%)69.4%

Sample

1st rowGS25노원아이파크점
2nd row주식회사원자력의학원상조회
3rd rowGS25상계현대
4th rowCU공릉마중점
5th row7-ELEVEN노원롯데점
ValueCountFrequency (%)
씨유 27
 
3.7%
세븐일레븐 22
 
3.0%
지에스(gs)25 17
 
2.3%
주)코리아세븐 15
 
2.0%
gs25 11
 
1.5%
지에스25 5
 
0.7%
씨유(cu 5
 
0.7%
미니스톱 5
 
0.7%
씨유공릉녹주점 5
 
0.7%
씨유공릉화랑점 4
 
0.5%
Other values (508) 621
84.3%
2024-05-11T14:45:40.428632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 553
 
9.3%
계 325
 
5.4%
2 271
 
4.5%
5 254
 
4.3%
G 238
 
4.0%
S 237
 
4.0%
븐 183
 
3.1%
씨 181
 
3.0%
유 176
 
2.9%
상 154
 
2.6%
Other values (245) 3401
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4587
76.8%
Decimal Number 568
 
9.5%
Uppercase Letter 523
 
8.8%
Space Separator 112
 
1.9%
Open Punctuation 88
 
1.5%
Close Punctuation 87
 
1.5%
Lowercase Letter 5
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 553
 
12.1%
계 325
 
7.1%
븐 183
 
4.0%
씨 181
 
3.9%
유 176
 
3.8%
상 154
 
3.4%
원 148
 
3.2%
공 134
 
2.9%
릉 124
 
2.7%
노 121
 
2.6%
Other values (215) 2488
54.2%
Uppercase Letter
ValueCountFrequency (%)
G 238
45.5%
S 237
45.3%
C 18
 
3.4%
U 17
 
3.3%
E 3
 
0.6%
K 2
 
0.4%
I 2
 
0.4%
A 2
 
0.4%
N 1
 
0.2%
V 1
 
0.2%
Other values (2) 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 271
47.7%
5 254
44.7%
4 17
 
3.0%
1 13
 
2.3%
3 5
 
0.9%
7 3
 
0.5%
6 3
 
0.5%
8 1
 
0.2%
9 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
u 2
40.0%
s 1
20.0%
l 1
20.0%
p 1
20.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4587
76.8%
Common 858
 
14.4%
Latin 528
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 553
 
12.1%
계 325
 
7.1%
븐 183
 
4.0%
씨 181
 
3.9%
유 176
 
3.8%
상 154
 
3.4%
원 148
 
3.2%
공 134
 
2.9%
릉 124
 
2.7%
노 121
 
2.6%
Other values (215) 2488
54.2%
Latin
ValueCountFrequency (%)
G 238
45.1%
S 237
44.9%
C 18
 
3.4%
U 17
 
3.2%
E 3
 
0.6%
K 2
 
0.4%
I 2
 
0.4%
u 2
 
0.4%
A 2
 
0.4%
N 1
 
0.2%
Other values (6) 6
 
1.1%
Common
ValueCountFrequency (%)
2 271
31.6%
5 254
29.6%
112
13.1%
( 88
 
10.3%
) 87
 
10.1%
4 17
 
2.0%
1 13
 
1.5%
3 5
 
0.6%
7 3
 
0.3%
6 3
 
0.3%
Other values (4) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4587
76.8%
ASCII 1386
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 553
 
12.1%
계 325
 
7.1%
븐 183
 
4.0%
씨 181
 
3.9%
유 176
 
3.8%
상 154
 
3.4%
원 148
 
3.2%
공 134
 
2.9%
릉 124
 
2.7%
노 121
 
2.6%
Other values (215) 2488
54.2%
ASCII
ValueCountFrequency (%)
2 271
19.6%
5 254
18.3%
G 238
17.2%
S 237
17.1%
112
8.1%
( 88
 
6.3%
) 87
 
6.3%
C 18
 
1.3%
U 17
 
1.2%
4 17
 
1.2%
Other values (20) 47
 
3.4%

최종수정일자
Date

UNIQUE 

Distinct625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2013-07-10 11:19:36
Maximum2024-04-30 09:33:12
2024-05-11T14:45:40.675220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:40.937698image/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 size5.0 KiB
I
363 
U
262 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 363
58.1%
U 262
41.9%

Length

2024-05-11T14:45:41.172013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:41.348491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 363
58.1%
u 262
41.9%

데이터갱신일자
Date

Distinct293
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T14:45:41.528679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:41.770934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing625
Missing (%)100.0%
Memory size5.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct372
Distinct (%)60.1%
Missing6
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean205964.11
Minimum203762.97
Maximum209609.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-05-11T14:45:41.975697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203762.97
5-th percentile204663.35
Q1205260.41
median206032.97
Q3206627.21
95-th percentile207205.89
Maximum209609.15
Range5846.1773
Interquartile range (IQR)1366.7993

Descriptive statistics

Standard deviation835.34879
Coefficient of variation (CV)0.0040557979
Kurtosis-0.32825326
Mean205964.11
Median Absolute Deviation (MAD)688.30231
Skewness-0.02000507
Sum1.2749178 × 108
Variance697807.6
MonotonicityNot monotonic
2024-05-11T14:45:42.185587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206164.229590529 6
 
1.0%
204772.500639238 5
 
0.8%
206354.746451299 5
 
0.8%
206908.26999706 4
 
0.6%
206239.957450248 4
 
0.6%
205789.71844701 4
 
0.6%
205455.618698896 4
 
0.6%
205356.625412979 4
 
0.6%
204952.760813889 4
 
0.6%
207083.109226474 4
 
0.6%
Other values (362) 575
92.0%
(Missing) 6
 
1.0%
ValueCountFrequency (%)
203762.973030298 3
0.5%
203786.584663472 2
0.3%
203904.660962669 1
 
0.2%
203986.825383903 1
 
0.2%
204325.989587591 1
 
0.2%
204360.413814457 1
 
0.2%
204377.840122764 1
 
0.2%
204454.974085477 1
 
0.2%
204481.248686527 1
 
0.2%
204493.316247866 1
 
0.2%
ValueCountFrequency (%)
209609.150325169 1
 
0.2%
207849.086484736 2
0.3%
207749.307579592 1
 
0.2%
207746.151245202 1
 
0.2%
207664.317647853 1
 
0.2%
207638.296459515 1
 
0.2%
207523.567910849 3
0.5%
207382.703099595 1
 
0.2%
207311.175792021 4
0.6%
207301.617322514 2
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct374
Distinct (%)60.4%
Missing6
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean460337.54
Minimum457003.27
Maximum464959.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-05-11T14:45:42.419692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457003.27
5-th percentile457395.89
Q1458202.11
median460701.03
Q3461985.09
95-th percentile463713.09
Maximum464959.06
Range7955.79
Interquartile range (IQR)3782.9777

Descriptive statistics

Standard deviation2113.5784
Coefficient of variation (CV)0.0045913667
Kurtosis-1.2529014
Mean460337.54
Median Absolute Deviation (MAD)1929.9101
Skewness0.051234116
Sum2.8494894 × 108
Variance4467213.9
MonotonicityNot monotonic
2024-05-11T14:45:42.641410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
462099.408212907 6
 
1.0%
464208.305428933 5
 
0.8%
457568.743857712 5
 
0.8%
462686.417548167 4
 
0.6%
457514.156834325 4
 
0.6%
458158.367920404 4
 
0.6%
457358.731978332 4
 
0.6%
461535.57579374 4
 
0.6%
459389.694394683 4
 
0.6%
457849.860898568 4
 
0.6%
Other values (364) 575
92.0%
(Missing) 6
 
1.0%
ValueCountFrequency (%)
457003.268496842 1
 
0.2%
457041.349875739 3
0.5%
457060.260445978 2
0.3%
457102.177457409 1
 
0.2%
457177.89201052 1
 
0.2%
457227.455882764 1
 
0.2%
457273.571651069 2
0.3%
457274.520114182 1
 
0.2%
457275.799282625 4
0.6%
457316.905496434 2
0.3%
ValueCountFrequency (%)
464959.058464501 2
 
0.3%
464945.364582841 1
 
0.2%
464923.878757013 1
 
0.2%
464509.429001456 1
 
0.2%
464356.527197506 1
 
0.2%
464208.305428933 5
0.8%
464199.048415229 1
 
0.2%
464174.158420444 1
 
0.2%
464099.692139359 1
 
0.2%
464080.593904719 2
 
0.3%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)36.8%
Missing538
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean30.292529
Minimum0
Maximum223
Zeros48
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-05-11T14:45:42.922625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q348
95-th percentile136.2
Maximum223
Range223
Interquartile range (IQR)48

Descriptive statistics

Standard deviation46.040526
Coefficient of variation (CV)1.5198641
Kurtosis3.9752577
Mean30.292529
Median Absolute Deviation (MAD)0
Skewness1.9362667
Sum2635.45
Variance2119.73
MonotonicityNot monotonic
2024-05-11T14:45:43.150961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 48
 
7.7%
33.0 4
 
0.6%
36.0 2
 
0.3%
46.2 2
 
0.3%
132.0 2
 
0.3%
40.0 2
 
0.3%
60.0 2
 
0.3%
66.11 1
 
0.2%
82.3 1
 
0.2%
50.0 1
 
0.2%
Other values (22) 22
 
3.5%
(Missing) 538
86.1%
ValueCountFrequency (%)
0.0 48
7.7%
3.3 1
 
0.2%
23.0 1
 
0.2%
24.25 1
 
0.2%
25.0 1
 
0.2%
32.4 1
 
0.2%
33.0 4
 
0.6%
36.0 2
 
0.3%
37.67 1
 
0.2%
40.0 2
 
0.3%
ValueCountFrequency (%)
223.0 1
0.2%
173.5 1
0.2%
144.8 1
0.2%
140.0 1
0.2%
138.0 1
0.2%
132.0 2
0.3%
95.0 1
0.2%
82.3 1
0.2%
80.0 1
0.2%
76.0 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03100000PHMH32012310003408750000120121030<NA>3폐업3폐업20131001<NA><NA><NA>936-0635<NA>139816서울특별시 노원구 상계동 1318번지서울특별시 노원구 상계로23다길 13-8 (상계동, 101-119(상계동,노원아이파크))139816GS25노원아이파크점2013-10-01 13:02:22I2018-08-31 23:59:59.0<NA>206033.023278461935.3392040.0
13100000PHMH32012310003408750000220121029<NA>1영업/정상13영업중<NA><NA><NA><NA>02-970-2123<NA>139706서울특별시 노원구 공릉2동 215번지 4호 원자력의학원서울특별시 노원구 노원로 75 (공릉동, 원자력의학원)1812주식회사원자력의학원상조회2018-05-03 16:15:38I2018-08-31 23:59:59.0<NA>207192.873108458452.733972132.0
23100000PHMH32012310003408750000320121031<NA>3폐업3폐업20130430<NA><NA><NA>935-8984<NA>139208서울특별시 노원구 상계동 1048번지 6호서울특별시 노원구 동일로237길 46 (상계동)139208GS25상계현대2013-07-10 11:19:36I2018-08-31 23:59:59.0<NA>204593.151181463476.002218132.0
33100000PHMH32012310003408750000420121031<NA>3폐업3폐업20220401<NA><NA><NA>977-4007<NA>139807서울특별시 노원구 공릉동 568번지 1호서울특별시 노원구 동일로183길 9 (공릉동)1857CU공릉마중점2022-04-01 10:04:00U2021-12-04 00:03:00.0<NA>206386.892157457858.265074<NA>
43100000PHMH3201231000340875000052012-11-01<NA>3폐업3폐업2024-01-25<NA><NA><NA>939-3146<NA>139-821서울특별시 노원구 상계동 716번지 104호서울특별시 노원구 노해로 485 (상계동)16957-ELEVEN노원롯데점2024-01-25 14:55:13U2023-11-30 22:07:00.0<NA>205395.905282461389.914062<NA>
53100000PHMH32012310003408750000620121109<NA>3폐업3폐업20130503<NA><NA><NA>911-1011<NA>139845서울특별시 노원구 월계동 391번지 1호서울특별시 노원구 광운로 53 (월계동)139845GS25광운대점2013-07-16 10:30:46I2018-08-31 23:59:59.0<NA>205164.638884457785.012114<NA>
63100000PHMH32012310003408750000720121109<NA>3폐업3폐업20161125<NA><NA><NA>975-6360<NA>139845서울특별시 노원구 월계동 496번지 45호서울특별시 노원구 광운로 17-11 (월계동)1898GS25광운사랑점2016-11-25 15:27:38I2018-08-31 23:59:59.0<NA>204986.247736457464.7089510.0
73100000PHMH32012310003408750000820121109<NA>3폐업3폐업20150601<NA><NA><NA>938-5540<NA>139220서울특별시 노원구 중계동 55번지 21호서울특별시 노원구 중계로12가길 23 (중계동)139220씨유노원중계점2015-06-01 14:37:44I2018-08-31 23:59:59.0<NA>207238.454018460638.193622<NA>
83100000PHMH32012310003408750000920121109<NA>3폐업3폐업20131107<NA><NA><NA>937-5579<NA>139837서울특별시 노원구 상계동 1117번지 68호서울특별시 노원구 동일로242가길 16 (상계동)139837GS25노원수락산역2013-11-07 16:04:28I2018-08-31 23:59:59.0<NA>204873.580207463798.52003<NA>
93100000PHMH32012310003408750001020121109<NA>3폐업3폐업20151130<NA><NA><NA>02-937-0020<NA>139764서울특별시 노원구 상계동 626번지 1호 주공14단지상가 101,102,103호서울특별시 노원구 동일로228길 23 (상계동)1669GS25상계제일2015-11-30 14:16:11I2018-08-31 23:59:59.0<NA>205173.403902463037.74954<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
6153100000PHMH3202431000340875000022024-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 동일로245가길 41, 상가동 106,107호 (상계동, 은빛2단지아파트)1604지에스25(GS25)상계은빛점2024-01-05 15:57:56I2023-12-01 00:07:00.0<NA>204650.437591464174.15842<NA>
6163100000PHMH3202431000340875000032024-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 초안산로 19, 101호 (월계동, 월계주공2단지아파트)1882지에스25 인덕대후문점2024-01-11 10:22:48I2023-11-30 23:03:00.0<NA>204709.625107458580.90503<NA>
6173100000PHMH3202431000340875000042024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 761-1 상계백병원서울특별시 노원구 동일로 1342, 상계백병원 B1층 (상계동)1757씨유 인제대상계백병원점2024-01-30 11:40:57I2023-12-02 00:01:00.0<NA>205488.916466460701.027581<NA>
6183100000PHMH3202431000340875000052024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 949 꿈의숲 SK뷰 아파트서울특별시 노원구 월계로42길 97, 상가동 지1층 상가1호 (월계동, 꿈의숲 SK뷰 아파트)1889지에스(GS)25 월계꿈의숲점2024-02-01 13:41:23U2023-12-02 00:03:00.0<NA>204680.298324457718.098616<NA>
6193100000PHMH3202431000340875000062024-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 151-4 흥봉빌딩서울특별시 노원구 한글비석로44길 31, 흥봉빌딩 1층 (상계동)1666서울노원지역자활센터GS상계대박점2024-02-15 09:29:11U2023-12-01 23:07:00.0<NA>206097.301989462429.123801<NA>
6203100000PHMH3202431000340875000072024-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 161-2 중앙하이츠아파트서울특별시 노원구 덕릉로84길 33, 501동 104호 (중계동, 중앙하이츠아파트)1717씨유중계4동점2024-03-11 09:27:32I2023-12-02 23:03:00.0<NA>206762.411049461946.934722<NA>
6213100000PHMH3202431000340875000082024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 766-1 미도아파트서울특별시 노원구 덕릉로 459-18, 1층 116,117,118호 (상계동, 미도아파트)1769씨유상계미도점2024-03-14 13:55:24I2023-12-02 23:06:00.0<NA>205309.755822460429.879162<NA>
6223100000PHMH3202431000340875000092024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 705-2 청산빌딩서울특별시 노원구 노해로 451, 청산빌딩 1층 2호 (상계동)1689지에스(GS)25 노원청산점2024-03-26 16:27:56I2023-12-02 22:08:00.0<NA>205067.907965461303.9789<NA>
6233100000PHMH3202431000340875000102024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1258 희성오피앙서울특별시 노원구 동일로 1701, 1층 114,115,116호 (상계동, 희성오피앙)1604씨유 상계오피앙점2024-04-14 09:37:52I2023-12-03 23:06:00.0<NA>204772.500639464208.305429<NA>
6243100000PHMH3202431000340875000112024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 수락산로 190, 희락상가아파트 101~104호 (상계동)1631씨유상계하모니점2024-04-15 13:35:22I2023-12-03 23:07:00.0<NA>204979.663455463199.356724<NA>