Overview

Dataset statistics

Number of variables26
Number of observations512
Missing cells3987
Missing cells (%)30.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.1 KiB
Average record size in memory220.3 B

Variable types

Categorical6
Text7
DateTime4
Numeric4
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-15999/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 342 (66.8%) missing valuesMissing
폐업일자 has 194 (37.9%) missing valuesMissing
휴업시작일자 has 512 (100.0%) missing valuesMissing
휴업종료일자 has 512 (100.0%) missing valuesMissing
재개업일자 has 512 (100.0%) missing valuesMissing
전화번호 has 212 (41.4%) missing valuesMissing
소재지면적 has 512 (100.0%) missing valuesMissing
소재지우편번호 has 294 (57.4%) missing valuesMissing
지번주소 has 30 (5.9%) missing valuesMissing
업태구분명 has 512 (100.0%) missing valuesMissing
판매점영업면적 has 351 (68.6%) 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 19 (3.7%) zerosZeros

Reproduction

Analysis started2024-05-11 09:07:09.086368
Analysis finished2024-05-11 09:07:10.701424
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3000000
512 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 512
100.0%

Length

2024-05-11T09:07:10.924900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:11.336199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 512
100.0%

관리번호
Text

UNIQUE 

Distinct512
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T09:07:11.959256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters12800
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

Unique512 ?
Unique (%)100.0%

Sample

1st rowPHMH320123000034087500001
2nd rowPHMH320123000034087500002
3rd rowPHMH320123000034087500003
4th rowPHMH320123000034087500004
5th rowPHMH320123000034087500005
ValueCountFrequency (%)
phmh320123000034087500001 1
 
0.2%
phmh320123000034087500002 1
 
0.2%
phmh320173000034087500043 1
 
0.2%
phmh320173000034087500042 1
 
0.2%
phmh320173000034087500041 1
 
0.2%
phmh320173000034087500040 1
 
0.2%
phmh320173000034087500039 1
 
0.2%
phmh320173000034087500038 1
 
0.2%
phmh320173000034087500037 1
 
0.2%
phmh320173000034087500036 1
 
0.2%
Other values (502) 502
98.0%
2024-05-11T09:07:13.284452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4766
37.2%
3 1718
 
13.4%
H 1024
 
8.0%
2 919
 
7.2%
1 662
 
5.2%
4 645
 
5.0%
7 624
 
4.9%
5 623
 
4.9%
8 596
 
4.7%
P 512
 
4.0%
Other values (3) 711
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10752
84.0%
Uppercase Letter 2048
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4766
44.3%
3 1718
 
16.0%
2 919
 
8.5%
1 662
 
6.2%
4 645
 
6.0%
7 624
 
5.8%
5 623
 
5.8%
8 596
 
5.5%
6 105
 
1.0%
9 94
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
H 1024
50.0%
P 512
25.0%
M 512
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10752
84.0%
Latin 2048
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4766
44.3%
3 1718
 
16.0%
2 919
 
8.5%
1 662
 
6.2%
4 645
 
6.0%
7 624
 
5.8%
5 623
 
5.8%
8 596
 
5.5%
6 105
 
1.0%
9 94
 
0.9%
Latin
ValueCountFrequency (%)
H 1024
50.0%
P 512
25.0%
M 512
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4766
37.2%
3 1718
 
13.4%
H 1024
 
8.0%
2 919
 
7.2%
1 662
 
5.2%
4 645
 
5.0%
7 624
 
4.9%
5 623
 
4.9%
8 596
 
4.7%
P 512
 
4.0%
Other values (3) 711
 
5.6%

인허가일자
Date

Distinct350
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2012-11-02 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T09:07:13.853420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:07:14.616750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)85.9%
Missing342
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean20156796
Minimum20130716
Maximum20181031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T09:07:15.638748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130716
5-th percentile20130961
Q120141011
median20155722
Q320170717
95-th percentile20180667
Maximum20181031
Range50315
Interquartile range (IQR)29706.25

Descriptive statistics

Standard deviation15375.364
Coefficient of variation (CV)0.00076278809
Kurtosis-1.1726251
Mean20156796
Median Absolute Deviation (MAD)14798
Skewness0.028315151
Sum3.4266553 × 109
Variance2.3640181 × 108
MonotonicityNot monotonic
2024-05-11T09:07:16.360030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161122 5
 
1.0%
20140103 4
 
0.8%
20171114 4
 
0.8%
20140527 2
 
0.4%
20181031 2
 
0.4%
20150914 2
 
0.4%
20180112 2
 
0.4%
20150909 2
 
0.4%
20150519 2
 
0.4%
20140530 2
 
0.4%
Other values (136) 143
27.9%
(Missing) 342
66.8%
ValueCountFrequency (%)
20130716 1
0.2%
20130718 1
0.2%
20130726 1
0.2%
20130730 2
0.4%
20130813 1
0.2%
20130828 2
0.4%
20130925 1
0.2%
20131004 1
0.2%
20131017 1
0.2%
20131031 1
0.2%
ValueCountFrequency (%)
20181031 2
0.4%
20181029 1
0.2%
20180918 1
0.2%
20180906 1
0.2%
20180905 1
0.2%
20180828 1
0.2%
20180731 1
0.2%
20180702 1
0.2%
20180625 1
0.2%
20180620 1
0.2%

영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3
314 
1
194 
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 314
61.3%
1 194
37.9%
4 4
 
0.8%

Length

2024-05-11T09:07:17.199444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:18.096162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 314
61.3%
1 194
37.9%
4 4
 
0.8%

영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
314 
영업/정상
194 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.2304688
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 314
61.3%
영업/정상 194
37.9%
취소/말소/만료/정지/중지 4
 
0.8%

Length

2024-05-11T09:07:18.541201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:18.930623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 314
61.3%
영업/정상 194
37.9%
취소/말소/만료/정지/중지 4
 
0.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
3
314 
13
194 
24
 
4

Length

Max length2
Median length1
Mean length1.3867188
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 314
61.3%
13 194
37.9%
24 4
 
0.8%

Length

2024-05-11T09:07:19.268255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:19.686377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 314
61.3%
13 194
37.9%
24 4
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
폐업
314 
영업중
194 
직권폐업
 
4

Length

Max length4
Median length2
Mean length2.3945312
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 314
61.3%
영업중 194
37.9%
직권폐업 4
 
0.8%

Length

2024-05-11T09:07:20.076065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:20.399342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 314
61.3%
영업중 194
37.9%
직권폐업 4
 
0.8%

폐업일자
Date

MISSING 

Distinct287
Distinct (%)90.3%
Missing194
Missing (%)37.9%
Memory size4.1 KiB
Minimum2013-01-22 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T09:07:21.109808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:07:21.502539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing512
Missing (%)100.0%
Memory size4.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing512
Missing (%)100.0%
Memory size4.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing512
Missing (%)100.0%
Memory size4.6 KiB

전화번호
Text

MISSING 

Distinct237
Distinct (%)79.0%
Missing212
Missing (%)41.4%
Memory size4.1 KiB
2024-05-11T09:07:22.101606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.163333
Min length8

Characters and Unicode

Total characters3349
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

Unique188 ?
Unique (%)62.7%

Sample

1st row02-722-6683
2nd row02-736-8842
3rd row02-765-4037
4th row02-725-8923
5th row02-735-9055
ValueCountFrequency (%)
02-2269-7728 5
 
1.7%
1577-0711 4
 
1.3%
02-742-7897 4
 
1.3%
02-535-6103 3
 
1.0%
02-766-3337 3
 
1.0%
02-396-3875 3
 
1.0%
02-737-5090 3
 
1.0%
02-2103-9517 3
 
1.0%
02-2275-2988 3
 
1.0%
02-741-5056 3
 
1.0%
Other values (227) 266
88.7%
2024-05-11T09:07:23.128303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 576
17.2%
2 536
16.0%
0 492
14.7%
7 434
13.0%
3 269
8.0%
6 213
 
6.4%
4 199
 
5.9%
5 199
 
5.9%
8 144
 
4.3%
1 144
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2773
82.8%
Dash Punctuation 576
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 536
19.3%
0 492
17.7%
7 434
15.7%
3 269
9.7%
6 213
 
7.7%
4 199
 
7.2%
5 199
 
7.2%
8 144
 
5.2%
1 144
 
5.2%
9 143
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 576
17.2%
2 536
16.0%
0 492
14.7%
7 434
13.0%
3 269
8.0%
6 213
 
6.4%
4 199
 
5.9%
5 199
 
5.9%
8 144
 
4.3%
1 144
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 576
17.2%
2 536
16.0%
0 492
14.7%
7 434
13.0%
3 269
8.0%
6 213
 
6.4%
4 199
 
5.9%
5 199
 
5.9%
8 144
 
4.3%
1 144
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing512
Missing (%)100.0%
Memory size4.6 KiB

소재지우편번호
Text

MISSING 

Distinct102
Distinct (%)46.8%
Missing294
Missing (%)57.4%
Memory size4.1 KiB
2024-05-11T09:07:23.815069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0275229
Min length6

Characters and Unicode

Total characters1314
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

Unique49 ?
Unique (%)22.5%

Sample

1st row110871
2nd row110170
3rd row110862
4th row110033
5th row110041
ValueCountFrequency (%)
110111 14
 
6.4%
110811 7
 
3.2%
110862 6
 
2.8%
110420 6
 
2.8%
110126 5
 
2.3%
110521 5
 
2.3%
110809 5
 
2.3%
110370 5
 
2.3%
110012 4
 
1.8%
110826 4
 
1.8%
Other values (92) 157
72.0%
2024-05-11T09:07:25.129449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 553
42.1%
0 352
26.8%
2 86
 
6.5%
8 77
 
5.9%
4 62
 
4.7%
3 55
 
4.2%
5 49
 
3.7%
6 36
 
2.7%
7 22
 
1.7%
9 13
 
1.0%
Other values (2) 9
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1305
99.3%
Dash Punctuation 6
 
0.5%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 553
42.4%
0 352
27.0%
2 86
 
6.6%
8 77
 
5.9%
4 62
 
4.8%
3 55
 
4.2%
5 49
 
3.8%
6 36
 
2.8%
7 22
 
1.7%
9 13
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 553
42.1%
0 352
26.8%
2 86
 
6.5%
8 77
 
5.9%
4 62
 
4.7%
3 55
 
4.2%
5 49
 
3.7%
6 36
 
2.7%
7 22
 
1.7%
9 13
 
1.0%
Other values (2) 9
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 553
42.1%
0 352
26.8%
2 86
 
6.5%
8 77
 
5.9%
4 62
 
4.7%
3 55
 
4.2%
5 49
 
3.7%
6 36
 
2.7%
7 22
 
1.7%
9 13
 
1.0%
Other values (2) 9
 
0.7%

지번주소
Text

MISSING 

Distinct426
Distinct (%)88.4%
Missing30
Missing (%)5.9%
Memory size4.1 KiB
2024-05-11T09:07:26.040193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length23.358921
Min length14

Characters and Unicode

Total characters11259
Distinct characters216
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)78.8%

Sample

1st row서울특별시 종로구 내수동 71번지 101호
2nd row서울특별시 종로구 견지동 110번지
3rd row서울특별시 종로구 숭인동 72번지 12호
4th row서울특별시 종로구 효자동 70번지 1호
5th row서울특별시 종로구 누상동 55번지
ValueCountFrequency (%)
서울특별시 482
19.2%
종로구 482
19.2%
1층 120
 
4.8%
1호 60
 
2.4%
숭인동 47
 
1.9%
관철동 33
 
1.3%
2호 31
 
1.2%
1번지 29
 
1.2%
창신동 28
 
1.1%
동숭동 25
 
1.0%
Other values (508) 1167
46.6%
2024-05-11T09:07:27.540660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2029
18.0%
1 652
 
5.8%
로 538
 
4.8%
종 527
 
4.7%
구 491
 
4.4%
서 489
 
4.3%
울 485
 
4.3%
시 485
 
4.3%
별 483
 
4.3%
특 482
 
4.3%
Other values (206) 4598
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7087
62.9%
Decimal Number 2052
 
18.2%
Space Separator 2029
 
18.0%
Dash Punctuation 61
 
0.5%
Uppercase Letter 17
 
0.2%
Other Punctuation 12
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 538
 
7.6%
종 527
 
7.4%
구 491
 
6.9%
서 489
 
6.9%
울 485
 
6.8%
시 485
 
6.8%
별 483
 
6.8%
특 482
 
6.8%
동 429
 
6.1%
지 420
 
5.9%
Other values (180) 2258
31.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
23.5%
A 3
17.6%
L 2
11.8%
C 1
 
5.9%
D 1
 
5.9%
M 1
 
5.9%
Y 1
 
5.9%
I 1
 
5.9%
Z 1
 
5.9%
W 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 652
31.8%
2 273
13.3%
0 194
 
9.5%
3 193
 
9.4%
4 164
 
8.0%
5 148
 
7.2%
7 124
 
6.0%
8 119
 
5.8%
6 119
 
5.8%
9 66
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 11
91.7%
. 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7087
62.9%
Common 4155
36.9%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 538
 
7.6%
종 527
 
7.4%
구 491
 
6.9%
서 489
 
6.9%
울 485
 
6.8%
시 485
 
6.8%
별 483
 
6.8%
특 482
 
6.8%
동 429
 
6.1%
지 420
 
5.9%
Other values (180) 2258
31.9%
Common
ValueCountFrequency (%)
2029
48.8%
1 652
 
15.7%
2 273
 
6.6%
0 194
 
4.7%
3 193
 
4.6%
4 164
 
3.9%
5 148
 
3.6%
7 124
 
3.0%
8 119
 
2.9%
6 119
 
2.9%
Other values (5) 140
 
3.4%
Latin
ValueCountFrequency (%)
B 4
23.5%
A 3
17.6%
L 2
11.8%
C 1
 
5.9%
D 1
 
5.9%
M 1
 
5.9%
Y 1
 
5.9%
I 1
 
5.9%
Z 1
 
5.9%
W 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7087
62.9%
ASCII 4172
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2029
48.6%
1 652
 
15.6%
2 273
 
6.5%
0 194
 
4.7%
3 193
 
4.6%
4 164
 
3.9%
5 148
 
3.5%
7 124
 
3.0%
8 119
 
2.9%
6 119
 
2.9%
Other values (16) 157
 
3.8%
Hangul
ValueCountFrequency (%)
로 538
 
7.6%
종 527
 
7.4%
구 491
 
6.9%
서 489
 
6.9%
울 485
 
6.8%
시 485
 
6.8%
별 483
 
6.8%
특 482
 
6.8%
동 429
 
6.1%
지 420
 
5.9%
Other values (180) 2258
31.9%

도로명주소
Text

Distinct425
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T09:07:28.341935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length29.296875
Min length20

Characters and Unicode

Total characters15000
Distinct characters241
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

Unique361 ?
Unique (%)70.5%

Sample

1st row서울특별시 종로구 사직로8길 24, 101호 (내수동)
2nd row서울특별시 종로구 삼봉로 95 (견지동)
3rd row서울특별시 종로구 종로 371 (숭인동)
4th row서울특별시 종로구 자하문로 82 (효자동)
5th row서울특별시 종로구 옥인길 23-1 (누상동)
ValueCountFrequency (%)
서울특별시 512
 
16.5%
종로구 512
 
16.5%
1층 225
 
7.2%
숭인동 47
 
1.5%
종로 42
 
1.4%
관철동 40
 
1.3%
101호 34
 
1.1%
창신동 29
 
0.9%
동숭동 25
 
0.8%
청계천로 20
 
0.6%
Other values (578) 1622
52.2%
2024-05-11T09:07:29.691656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2596
 
17.3%
로 1000
 
6.7%
1 791
 
5.3%
종 653
 
4.4%
구 522
 
3.5%
서 521
 
3.5%
울 516
 
3.4%
시 515
 
3.4%
) 514
 
3.4%
( 514
 
3.4%
Other values (231) 6858
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8656
57.7%
Space Separator 2596
 
17.3%
Decimal Number 2190
 
14.6%
Close Punctuation 514
 
3.4%
Open Punctuation 514
 
3.4%
Other Punctuation 418
 
2.8%
Dash Punctuation 71
 
0.5%
Uppercase Letter 40
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1000
 
11.6%
종 653
 
7.5%
구 522
 
6.0%
서 521
 
6.0%
울 516
 
6.0%
시 515
 
5.9%
별 513
 
5.9%
특 512
 
5.9%
동 503
 
5.8%
길 256
 
3.0%
Other values (198) 3145
36.3%
Uppercase Letter
ValueCountFrequency (%)
B 16
40.0%
A 4
 
10.0%
L 3
 
7.5%
D 2
 
5.0%
G 2
 
5.0%
M 2
 
5.0%
S 2
 
5.0%
Z 1
 
2.5%
W 1
 
2.5%
E 1
 
2.5%
Other values (6) 6
 
15.0%
Decimal Number
ValueCountFrequency (%)
1 791
36.1%
2 279
 
12.7%
3 238
 
10.9%
0 190
 
8.7%
4 158
 
7.2%
5 141
 
6.4%
6 114
 
5.2%
8 99
 
4.5%
7 95
 
4.3%
9 85
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 417
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8656
57.7%
Common 6304
42.0%
Latin 40
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1000
 
11.6%
종 653
 
7.5%
구 522
 
6.0%
서 521
 
6.0%
울 516
 
6.0%
시 515
 
5.9%
별 513
 
5.9%
특 512
 
5.9%
동 503
 
5.8%
길 256
 
3.0%
Other values (198) 3145
36.3%
Common
ValueCountFrequency (%)
2596
41.2%
1 791
 
12.5%
) 514
 
8.2%
( 514
 
8.2%
, 417
 
6.6%
2 279
 
4.4%
3 238
 
3.8%
0 190
 
3.0%
4 158
 
2.5%
5 141
 
2.2%
Other values (7) 466
 
7.4%
Latin
ValueCountFrequency (%)
B 16
40.0%
A 4
 
10.0%
L 3
 
7.5%
D 2
 
5.0%
G 2
 
5.0%
M 2
 
5.0%
S 2
 
5.0%
Z 1
 
2.5%
W 1
 
2.5%
E 1
 
2.5%
Other values (6) 6
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8656
57.7%
ASCII 6344
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2596
40.9%
1 791
 
12.5%
) 514
 
8.1%
( 514
 
8.1%
, 417
 
6.6%
2 279
 
4.4%
3 238
 
3.8%
0 190
 
3.0%
4 158
 
2.5%
5 141
 
2.2%
Other values (23) 506
 
8.0%
Hangul
ValueCountFrequency (%)
로 1000
 
11.6%
종 653
 
7.5%
구 522
 
6.0%
서 521
 
6.0%
울 516
 
6.0%
시 515
 
5.9%
별 513
 
5.9%
특 512
 
5.9%
동 503
 
5.8%
길 256
 
3.0%
Other values (198) 3145
36.3%

도로명우편번호
Text

Distinct173
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T09:07:30.792115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1328125
Min length5

Characters and Unicode

Total characters2628
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

Unique68 ?
Unique (%)13.3%

Sample

1st row110871
2nd row110170
3rd row03113
4th row110033
5th row03037
ValueCountFrequency (%)
03190 16
 
3.1%
03086 15
 
2.9%
03139 13
 
2.5%
03192 13
 
2.5%
03189 10
 
2.0%
03114 10
 
2.0%
03173 9
 
1.8%
03191 9
 
1.8%
03073 9
 
1.8%
03129 8
 
1.6%
Other values (163) 400
78.1%
2024-05-11T09:07:32.558264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 813
30.9%
3 572
21.8%
1 560
21.3%
9 122
 
4.6%
2 113
 
4.3%
8 105
 
4.0%
5 90
 
3.4%
4 89
 
3.4%
7 87
 
3.3%
6 76
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2627
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 813
30.9%
3 572
21.8%
1 560
21.3%
9 122
 
4.6%
2 113
 
4.3%
8 105
 
4.0%
5 90
 
3.4%
4 89
 
3.4%
7 87
 
3.3%
6 76
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 813
30.9%
3 572
21.8%
1 560
21.3%
9 122
 
4.6%
2 113
 
4.3%
8 105
 
4.0%
5 90
 
3.4%
4 89
 
3.4%
7 87
 
3.3%
6 76
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 813
30.9%
3 572
21.8%
1 560
21.3%
9 122
 
4.6%
2 113
 
4.3%
8 105
 
4.0%
5 90
 
3.4%
4 89
 
3.4%
7 87
 
3.3%
6 76
 
2.9%

사업장명
Text

Distinct448
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-05-11T09:07:33.320973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.669922
Min length5

Characters and Unicode

Total characters5463
Distinct characters264
Distinct categories8 ?
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 (%)77.1%

Sample

1st row씨유 종로경희궁의아침점
2nd row미니스톱 종각중앙점
3rd row세븐일레븐 동묘제일점
4th rowCU 종로효자점
5th rowCU 종로누상점
ValueCountFrequency (%)
씨유 100
 
11.0%
gs25 80
 
8.8%
세븐일레븐 54
 
5.9%
주)코리아세븐 40
 
4.4%
지에스25 21
 
2.3%
주)비지에프리테일 15
 
1.6%
미니스톱 15
 
1.6%
명륜성대점 9
 
1.0%
이마트24 9
 
1.0%
주)비지에프휴먼넷 8
 
0.9%
Other values (384) 561
61.5%
2024-05-11T09:07:34.952209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 454
 
8.3%
400
 
7.3%
로 314
 
5.7%
종 287
 
5.3%
븐 177
 
3.2%
2 173
 
3.2%
씨 162
 
3.0%
유 156
 
2.9%
5 152
 
2.8%
세 122
 
2.2%
Other values (254) 3066
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4201
76.9%
Space Separator 400
 
7.3%
Decimal Number 375
 
6.9%
Uppercase Letter 270
 
4.9%
Close Punctuation 106
 
1.9%
Open Punctuation 106
 
1.9%
Lowercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 454
 
10.8%
로 314
 
7.5%
종 287
 
6.8%
븐 177
 
4.2%
씨 162
 
3.9%
유 156
 
3.7%
세 122
 
2.9%
주 104
 
2.5%
일 103
 
2.5%
스 93
 
2.2%
Other values (222) 2229
53.1%
Uppercase Letter
ValueCountFrequency (%)
S 111
41.1%
G 110
40.7%
C 18
 
6.7%
U 16
 
5.9%
A 3
 
1.1%
Y 2
 
0.7%
R 2
 
0.7%
B 1
 
0.4%
M 1
 
0.4%
I 1
 
0.4%
Other values (5) 5
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 173
46.1%
5 152
40.5%
4 15
 
4.0%
1 13
 
3.5%
3 10
 
2.7%
6 5
 
1.3%
7 5
 
1.3%
9 1
 
0.3%
8 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
u 1
25.0%
l 1
25.0%
p 1
25.0%
Space Separator
ValueCountFrequency (%)
400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4201
76.9%
Common 988
 
18.1%
Latin 274
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 454
 
10.8%
로 314
 
7.5%
종 287
 
6.8%
븐 177
 
4.2%
씨 162
 
3.9%
유 156
 
3.7%
세 122
 
2.9%
주 104
 
2.5%
일 103
 
2.5%
스 93
 
2.2%
Other values (222) 2229
53.1%
Latin
ValueCountFrequency (%)
S 111
40.5%
G 110
40.1%
C 18
 
6.6%
U 16
 
5.8%
A 3
 
1.1%
Y 2
 
0.7%
R 2
 
0.7%
B 1
 
0.4%
M 1
 
0.4%
I 1
 
0.4%
Other values (9) 9
 
3.3%
Common
ValueCountFrequency (%)
400
40.5%
2 173
17.5%
5 152
 
15.4%
) 106
 
10.7%
( 106
 
10.7%
4 15
 
1.5%
1 13
 
1.3%
3 10
 
1.0%
6 5
 
0.5%
7 5
 
0.5%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4201
76.9%
ASCII 1262
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 454
 
10.8%
로 314
 
7.5%
종 287
 
6.8%
븐 177
 
4.2%
씨 162
 
3.9%
유 156
 
3.7%
세 122
 
2.9%
주 104
 
2.5%
일 103
 
2.5%
스 93
 
2.2%
Other values (222) 2229
53.1%
ASCII
ValueCountFrequency (%)
400
31.7%
2 173
13.7%
5 152
 
12.0%
S 111
 
8.8%
G 110
 
8.7%
) 106
 
8.4%
( 106
 
8.4%
C 18
 
1.4%
U 16
 
1.3%
4 15
 
1.2%
Other values (22) 55
 
4.4%

최종수정일자
Date

UNIQUE 

Distinct512
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2013-07-15 14:44:28
Maximum2024-05-02 10:17:20
2024-05-11T09:07:35.510197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:07:36.023594image/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 size4.1 KiB
I
294 
U
218 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 294
57.4%
U 218
42.6%

Length

2024-05-11T09:07:36.501257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:07:36.849248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 294
57.4%
u 218
42.6%

데이터갱신일자
Date

Distinct211
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T09:07:37.400099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:07:37.889994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing512
Missing (%)100.0%
Memory size4.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct325
Distinct (%)63.7%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean199106.37
Minimum195998.73
Maximum201960.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T09:07:38.420791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195998.73
5-th percentile196553.7
Q1198158.82
median199045.04
Q3200151.98
95-th percentile201650.74
Maximum201960.95
Range5962.2192
Interquartile range (IQR)1993.1535

Descriptive statistics

Standard deviation1498.654
Coefficient of variation (CV)0.0075269015
Kurtosis-0.72055666
Mean199106.37
Median Absolute Deviation (MAD)1053.6107
Skewness-0.058401462
Sum1.0154425 × 108
Variance2245963.9
MonotonicityNot monotonic
2024-05-11T09:07:38.918948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198934.017900859 6
 
1.2%
199045.298838868 6
 
1.2%
198797.140043517 6
 
1.2%
200281.251023483 6
 
1.2%
198386.829870878 5
 
1.0%
198991.832240646 5
 
1.0%
201960.951300031 5
 
1.0%
199821.627625442 5
 
1.0%
199541.085851334 4
 
0.8%
197469.959024858 4
 
0.8%
Other values (315) 458
89.5%
ValueCountFrequency (%)
195998.732099539 1
 
0.2%
196010.602015955 1
 
0.2%
196068.647882438 1
 
0.2%
196086.311120705 2
0.4%
196143.256118357 1
 
0.2%
196167.24792167 2
0.4%
196168.301152027 1
 
0.2%
196171.32627844 1
 
0.2%
196230.717211362 2
0.4%
196240.173808173 3
0.6%
ValueCountFrequency (%)
201960.951300031 5
1.0%
201949.270716491 1
 
0.2%
201946.86632604 2
 
0.4%
201937.460305076 1
 
0.2%
201923.40606958 1
 
0.2%
201874.482672754 1
 
0.2%
201868.251816014 2
 
0.4%
201857.226592825 1
 
0.2%
201843.179937827 1
 
0.2%
201823.19513455 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct325
Distinct (%)63.7%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean452801.53
Minimum451630.99
Maximum456587.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T09:07:39.415032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451630.99
5-th percentile451854.82
Q1452114.99
median452436.74
Q3453186.14
95-th percentile455462.78
Maximum456587.91
Range4956.9221
Interquartile range (IQR)1071.1506

Descriptive statistics

Standard deviation1029.6684
Coefficient of variation (CV)0.0022739949
Kurtosis3.3543011
Mean452801.53
Median Absolute Deviation (MAD)441.61175
Skewness1.8585035
Sum2.3092878 × 108
Variance1060217
MonotonicityNot monotonic
2024-05-11T09:07:39.922347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451920.267396593 6
 
1.2%
451973.905769526 6
 
1.2%
451887.51214766 6
 
1.2%
453163.856123543 6
 
1.2%
452237.303784872 5
 
1.0%
452427.078344628 5
 
1.0%
452506.178595954 5
 
1.0%
453360.147414481 5
 
1.0%
453994.48641613 4
 
0.8%
452033.989111749 4
 
0.8%
Other values (315) 458
89.5%
ValueCountFrequency (%)
451630.985668023 1
0.2%
451682.368379486 2
0.4%
451776.44366444 1
0.2%
451791.439552661 2
0.4%
451791.664335917 1
0.2%
451805.0 1
0.2%
451810.488000518 2
0.4%
451811.272474605 1
0.2%
451813.489945391 2
0.4%
451816.038182067 1
0.2%
ValueCountFrequency (%)
456587.90777321 3
0.6%
456400.243878906 1
 
0.2%
456311.979491953 1
 
0.2%
456301.660405803 1
 
0.2%
456290.9158685 2
0.4%
456231.523051187 1
 
0.2%
456108.810250198 2
0.4%
456069.982694811 1
 
0.2%
456055.205802855 2
0.4%
455997.73779299 3
0.6%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)57.8%
Missing351
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean150.77224
Minimum0
Maximum14329
Zeros19
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-11T09:07:40.377501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136.3
median55
Q389
95-th percentile132.23
Maximum14329
Range14329
Interquartile range (IQR)52.7

Descriptive statistics

Standard deviation1125.1137
Coefficient of variation (CV)7.4623399
Kurtosis160.57525
Mean150.77224
Median Absolute Deviation (MAD)22
Skewness12.66364
Sum24274.33
Variance1265880.8
MonotonicityNot monotonic
2024-05-11T09:07:40.917400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
3.7%
49.5 8
 
1.6%
66.0 6
 
1.2%
33.0 6
 
1.2%
99.0 6
 
1.2%
40.0 5
 
1.0%
35.0 3
 
0.6%
72.6 3
 
0.6%
36.3 3
 
0.6%
100.0 3
 
0.6%
Other values (83) 99
 
19.3%
(Missing) 351
68.6%
ValueCountFrequency (%)
0.0 19
3.7%
3.0 1
 
0.2%
6.6 1
 
0.2%
9.9 1
 
0.2%
23.1 2
 
0.4%
24.2 1
 
0.2%
25.0 1
 
0.2%
26.4 1
 
0.2%
29.7 2
 
0.4%
33.0 6
 
1.2%
ValueCountFrequency (%)
14329.0 1
0.2%
188.0 1
0.2%
175.72 1
0.2%
153.0 1
0.2%
143.0 1
0.2%
139.0 1
0.2%
137.0 1
0.2%
135.0 1
0.2%
132.23 1
0.2%
132.0 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
03000000PHMH32012300003408750000120121102201504293폐업3폐업20150429<NA><NA><NA>02-722-6683<NA>110871서울특별시 종로구 내수동 71번지 101호서울특별시 종로구 사직로8길 24, 101호 (내수동)110871씨유 종로경희궁의아침점2015-04-29 16:00:57I2018-08-31 23:59:59.0<NA>197393.747563452408.438229<NA>
13000000PHMH32012300003408750000220121102201407253폐업3폐업20140725<NA><NA><NA>02-736-8842<NA>110170서울특별시 종로구 견지동 110번지서울특별시 종로구 삼봉로 95 (견지동)110170미니스톱 종각중앙점2014-07-25 15:59:49I2018-08-31 23:59:59.0<NA>198386.829871452237.303785<NA>
23000000PHMH32012300003408750000320121102<NA>3폐업3폐업20211130<NA><NA><NA>02-765-4037<NA>110862서울특별시 종로구 숭인동 72번지 12호서울특별시 종로구 종로 371 (숭인동)03113세븐일레븐 동묘제일점2021-11-30 15:37:12U2021-12-02 02:40:00.0<NA>201580.705597452430.9457120.0
33000000PHMH32012300003408750000420121102201410233폐업3폐업20141023<NA><NA><NA>02-725-8923<NA>110033서울특별시 종로구 효자동 70번지 1호서울특별시 종로구 자하문로 82 (효자동)110033CU 종로효자점2014-10-23 11:54:52I2018-08-31 23:59:59.0<NA>197342.220895453450.527282<NA>
43000000PHMH32012300003408750000520121102201612273폐업3폐업20161227<NA><NA><NA>02-735-9055<NA>110041서울특별시 종로구 누상동 55번지서울특별시 종로구 옥인길 23-1 (누상동)03037CU 종로누상점2016-12-27 16:36:13I2018-08-31 23:59:59.0<NA>197043.514048453155.48195<NA>
53000000PHMH32012300003408750000620121102201405233폐업3폐업20140523<NA><NA><NA>02-766-7498<NA>110126서울특별시 종로구 종로6가 238번지 6호서울특별시 종로구 종로39길 40 (종로6가)110126한국미니스톱 종로효제점2014-05-23 15:25:58I2018-08-31 23:59:59.0<NA>200368.240733452257.657397<NA>
63000000PHMH32012300003408750000720121102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-745-3586<NA>110862서울특별시 종로구 숭인동 53번지 21호 1층서울특별시 종로구 지봉로 92, 1층 (숭인동)03108GS25 창신역점2015-02-10 15:47:06I2018-08-31 23:59:59.0<NA>201304.223299452882.754347<NA>
73000000PHMH32012300003408750000820121102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-725-8425<NA>110045서울특별시 종로구 체부동 19번지 1호서울특별시 종로구 자하문로 19-1 (체부동)03041GS25 종로사직점2014-01-03 10:55:34I2018-08-31 23:59:59.0<NA>197347.192983452921.820829<NA>
83000000PHMH32012300003408750000920121102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-737-4524<NA>110805서울특별시 종로구 누하동 57번지 2호서울특별시 종로구 필운대로 39 (누하동)03037GS25 종로누하점2014-01-03 10:56:26I2018-08-31 23:59:59.0<NA>197159.152481453026.326654<NA>
93000000PHMH32012300003408750001020121102<NA>3폐업3폐업20220727<NA><NA><NA>02-764-0711<NA>110250서울특별시 종로구 재동 104번지 1호서울특별시 종로구 율곡로 61 (재동)03060GS25 종로안국점2022-07-27 16:18:52U2021-12-06 22:09:00.0<NA>198685.005098452737.399917<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
5023000000PHMH3202330000340875000082023-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 43-8 관철동 빌딩서울특별시 종로구 청계천로 61, 관철동 빌딩 1층 (관철동)03189(주)코리아세븐 청계센터점2023-10-05 17:00:43I2022-10-31 00:07:00.0<NA>198545.222418451854.82089<NA>
5033000000PHMH3202330000340875000092023-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로58길 44, 109호 (숭인동, 청계 로벤하임)03114지에스25 뉴종로동묘시장점2023-10-26 09:24:49I2022-10-30 22:08:00.0<NA><NA><NA><NA>
5043000000PHMH3202430000340875000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로5가 398-17서울특별시 종로구 청계천로 215-1, 1층 (종로5가)03195씨유종로광장시장점2024-01-08 15:09:23U2023-11-30 23:00:00.0<NA>200069.999812451952.472945<NA>
5053000000PHMH3202430000340875000022024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 232 두산아파트서울특별시 종로구 지봉로5길 7, 상가동 지하층 B01,B02,B05,B06,B07,B08호 (창신동, 두산아파트)03104씨유 두산창신점2024-02-14 17:02:22I2023-12-01 23:06:00.0<NA>201192.5343452436.247037<NA>
5063000000PHMH3202430000340875000032024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 효자동 70-1서울특별시 종로구 자하문로 82, 1층 (효자동)03042씨유 종로효자점2024-02-22 17:24:13I2023-12-01 22:04:00.0<NA>197342.220895453450.527282<NA>
5073000000PHMH3202430000340875000042024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신영동 240서울특별시 종로구 진흥로 484, 1층 (신영동)03013GS25 종로신영점2024-02-28 17:43:58I2023-12-03 00:01:00.0<NA>196444.724457455869.049851<NA>
5083000000PHMH3202430000340875000052024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동길 76, 1층 (숭인동)03111지에스(GS)25 숭인보문점2024-03-04 10:28:57I2023-12-03 00:06:00.0<NA>201868.251816452890.732541<NA>
5093000000PHMH3202430000340875000062024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 옥인3길 2-1, 1층 101호 (누상동)03038세븐일레븐 종로누상점2024-03-11 14:44:27I2023-12-02 23:03:00.0<NA>196956.504201453186.141879<NA>
5103000000PHMH3202430000340875000072024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-8007<NA><NA>서울특별시 종로구 동숭동 1-144 낙산재서울특별시 종로구 대학로12길 73, 낙산재 1층 101호 (동숭동)03086(주) 비지에프리테일 마로니에공원점2024-04-03 10:32:55I2023-12-04 00:05:00.0<NA>200281.251023453163.856124<NA>
5113000000PHMH3202430000340875000082024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 1-100서울특별시 종로구 대학로8가길 111, 1층 (동숭동)03086주식회사 지에스25마로니에2024-04-19 09:01:41I2023-12-03 22:01:00.0<NA>200241.53961453188.699903<NA>