Overview

Dataset statistics

Number of variables26
Number of observations27
Missing cells138
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory224.9 B

Variable types

Categorical10
Numeric4
DateTime3
Unsupported3
Text6

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),점포구분명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18702/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (71.3%)Imbalance
재개업일자 is highly imbalanced (77.1%)Imbalance
인허가취소일자 has 27 (100.0%) missing valuesMissing
휴업시작일자 has 27 (100.0%) missing valuesMissing
휴업종료일자 has 27 (100.0%) missing valuesMissing
전화번호 has 1 (3.7%) missing valuesMissing
소재지면적 has 5 (18.5%) missing valuesMissing
소재지우편번호 has 16 (59.3%) missing valuesMissing
지번주소 has 1 (3.7%) missing valuesMissing
도로명주소 has 10 (37.0%) missing valuesMissing
도로명우편번호 has 10 (37.0%) missing valuesMissing
좌표정보(X) has 7 (25.9%) missing valuesMissing
좌표정보(Y) has 7 (25.9%) missing valuesMissing
관리번호 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

Reproduction

Analysis started2024-05-11 05:54:47.976465
Analysis finished2024-05-11 05:54:48.787195
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
3000000
27 

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 27
100.0%

Length

2024-05-11T05:54:49.075508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:49.413624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 27
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.006363 × 1018
Minimum1.9713 × 1018
Maximum2.0223 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T05:54:49.751196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9713 × 1018
5-th percentile1.98709 × 1018
Q12.0043 × 1018
median2.0073 × 1018
Q32.0118 × 1018
95-th percentile2.021 × 1018
Maximum2.0223 × 1018
Range5.1000013 × 1016
Interquartile range (IQR)7.5000053 × 1015

Descriptive statistics

Standard deviation1.149479 × 1016
Coefficient of variation (CV)0.0057291677
Kurtosis2.3135673
Mean2.006363 × 1018
Median Absolute Deviation (MAD)4.0000028 × 1015
Skewness-1.2377496
Sum-1.1684319 × 1018
Variance1.321302 × 1032
MonotonicityStrictly increasing
2024-05-11T05:54:50.262265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1971300007607500003 1
 
3.7%
1987000007607500005 1
 
3.7%
2022300020207500001 1
 
3.7%
2021300020207500001 1
 
3.7%
2020300020207500001 1
 
3.7%
2019300020207500002 1
 
3.7%
2019300020207500001 1
 
3.7%
2014300016907500001 1
 
3.7%
2012300012907500001 1
 
3.7%
2011300012907500003 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1971300007607500003 1
3.7%
1987000007607500005 1
3.7%
1987300007607500002 1
3.7%
1991300007607500001 1
3.7%
2003300007607500003 1
3.7%
2003300012907500001 1
3.7%
2004300007607500002 1
3.7%
2004300007607500003 1
3.7%
2004300007607500017 1
3.7%
2004300007607500018 1
3.7%
ValueCountFrequency (%)
2022300020207500001 1
3.7%
2021300020207500001 1
3.7%
2020300020207500001 1
3.7%
2019300020207500002 1
3.7%
2019300020207500001 1
3.7%
2014300016907500001 1
3.7%
2012300012907500001 1
3.7%
2011300012907500003 1
3.7%
2011300012907500002 1
3.7%
2011300012907500001 1
3.7%

인허가일자
Date

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1955-07-05 00:00:00
Maximum2022-06-28 00:00:00
2024-05-11T05:54:50.646775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:51.017041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
21 
2
4 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 21
77.8%
2 4
 
14.8%
3 2
 
7.4%

Length

2024-05-11T05:54:51.600493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:51.913655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
77.8%
2 4
 
14.8%
3 2
 
7.4%

영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업/정상
21 
휴업
4 
폐업
 
2

Length

Max length5
Median length5
Mean length4.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
77.8%
휴업 4
 
14.8%
폐업 2
 
7.4%

Length

2024-05-11T05:54:52.301524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:52.664572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
77.8%
휴업 4
 
14.8%
폐업 2
 
7.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
21 
2
4 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 21
77.8%
2 4
 
14.8%
3 2
 
7.4%

Length

2024-05-11T05:54:53.069605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:53.536580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
77.8%
2 4
 
14.8%
3 2
 
7.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
정상영업
21 
휴업처리
4 
폐업처리
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴업처리
2nd row휴업처리
3rd row휴업처리
4th row정상영업
5th row정상영업

Common Values

ValueCountFrequency (%)
정상영업 21
77.8%
휴업처리 4
 
14.8%
폐업처리 2
 
7.4%

Length

2024-05-11T05:54:53.975268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:54.352018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 21
77.8%
휴업처리 4
 
14.8%
폐업처리 2
 
7.4%

폐업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
25 
20141126
 
1
20140901
 
1

Length

Max length8
Median length4
Mean length4.2962963
Min length4

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
92.6%
20141126 1
 
3.7%
20140901 1
 
3.7%

Length

2024-05-11T05:54:55.029482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:55.507734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
92.6%
20141126 1
 
3.7%
20140901 1
 
3.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
26 
19710325
 
1

Length

Max length8
Median length4
Mean length4.1481481
Min length4

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
96.3%
19710325 1
 
3.7%

Length

2024-05-11T05:54:56.020827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:56.405937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
96.3%
19710325 1
 
3.7%

전화번호
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing1
Missing (%)3.7%
Memory size348.0 B
2024-05-11T05:54:56.904196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9230769
Min length7

Characters and Unicode

Total characters258
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

Unique24 ?
Unique (%)92.3%

Sample

1st row02 22785356
2nd row031 3395465
3rd row0222670291
4th row0222620209
5th row0222770114
ValueCountFrequency (%)
02 5
 
15.2%
2267-0291 2
 
6.1%
22785356 2
 
6.1%
7435390 1
 
3.0%
763-0181 1
 
3.0%
2234-7151 1
 
3.0%
02-743-6133 1
 
3.0%
02-430-4200 1
 
3.0%
027644766 1
 
3.0%
027379994 1
 
3.0%
Other values (17) 17
51.5%
2024-05-11T05:54:58.047750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 51
19.8%
0 38
14.7%
7 27
10.5%
3 23
8.9%
6 20
 
7.8%
1 20
 
7.8%
5 16
 
6.2%
- 15
 
5.8%
9 15
 
5.8%
4 15
 
5.8%
Other values (2) 18
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 235
91.1%
Dash Punctuation 15
 
5.8%
Space Separator 8
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 51
21.7%
0 38
16.2%
7 27
11.5%
3 23
9.8%
6 20
 
8.5%
1 20
 
8.5%
5 16
 
6.8%
9 15
 
6.4%
4 15
 
6.4%
8 10
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 51
19.8%
0 38
14.7%
7 27
10.5%
3 23
8.9%
6 20
 
7.8%
1 20
 
7.8%
5 16
 
6.2%
- 15
 
5.8%
9 15
 
5.8%
4 15
 
5.8%
Other values (2) 18
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 51
19.8%
0 38
14.7%
7 27
10.5%
3 23
8.9%
6 20
 
7.8%
1 20
 
7.8%
5 16
 
6.2%
- 15
 
5.8%
9 15
 
5.8%
4 15
 
5.8%
Other values (2) 18
 
7.0%

소재지면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing5
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean10600.787
Minimum273.3
Maximum55081.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T05:54:58.503647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum273.3
5-th percentile303.795
Q13460.3275
median6772.265
Q315034.062
95-th percentile25198.02
Maximum55081.94
Range54808.64
Interquartile range (IQR)11573.735

Descriptive statistics

Standard deviation12456.992
Coefficient of variation (CV)1.1751007
Kurtosis7.2320772
Mean10600.787
Median Absolute Deviation (MAD)5218.5
Skewness2.4088321
Sum233217.31
Variance1.5517666 × 108
MonotonicityNot monotonic
2024-05-11T05:54:58.860214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16128.75 2
 
7.4%
1313.0 2
 
7.4%
25198.02 2
 
7.4%
8390.2 1
 
3.7%
297.0 1
 
3.7%
3660.0 1
 
3.7%
432.9 1
 
3.7%
7486.0 1
 
3.7%
273.3 1
 
3.7%
6194.0 1
 
3.7%
Other values (9) 9
33.3%
(Missing) 5
18.5%
ValueCountFrequency (%)
273.3 1
3.7%
297.0 1
3.7%
432.9 1
3.7%
1313.0 2
7.4%
3393.77 1
3.7%
3660.0 1
3.7%
4612.66 1
3.7%
4674.66 1
3.7%
6194.0 1
3.7%
6638.0 1
3.7%
ValueCountFrequency (%)
55081.94 1
3.7%
25198.02 2
7.4%
18776.28 1
3.7%
16128.75 2
7.4%
11750.0 1
3.7%
9370.53 1
3.7%
8390.2 1
3.7%
7486.0 1
3.7%
6906.53 1
3.7%
6638.0 1
3.7%

소재지우편번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing16
Missing (%)59.3%
Memory size348.0 B
2024-05-11T05:54:59.400748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2727273
Min length6

Characters and Unicode

Total characters69
Distinct characters10
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

Unique11 ?
Unique (%)100.0%

Sample

1st row110784
2nd row110126
3rd row110833
4th row110714
5th row110752
ValueCountFrequency (%)
110784 1
9.1%
110126 1
9.1%
110833 1
9.1%
110714 1
9.1%
110752 1
9.1%
110841 1
9.1%
110-410 1
9.1%
110-876 1
9.1%
110150 1
9.1%
110-061 1
9.1%
2024-05-11T05:55:00.516266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 28
40.6%
0 15
21.7%
4 6
 
8.7%
7 4
 
5.8%
8 4
 
5.8%
6 3
 
4.3%
- 3
 
4.3%
2 2
 
2.9%
3 2
 
2.9%
5 2
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
95.7%
Dash Punctuation 3
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
42.4%
0 15
22.7%
4 6
 
9.1%
7 4
 
6.1%
8 4
 
6.1%
6 3
 
4.5%
2 2
 
3.0%
3 2
 
3.0%
5 2
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 28
40.6%
0 15
21.7%
4 6
 
8.7%
7 4
 
5.8%
8 4
 
5.8%
6 3
 
4.3%
- 3
 
4.3%
2 2
 
2.9%
3 2
 
2.9%
5 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 28
40.6%
0 15
21.7%
4 6
 
8.7%
7 4
 
5.8%
8 4
 
5.8%
6 3
 
4.3%
- 3
 
4.3%
2 2
 
2.9%
3 2
 
2.9%
5 2
 
2.9%

지번주소
Text

MISSING 

Distinct22
Distinct (%)84.6%
Missing1
Missing (%)3.7%
Memory size348.0 B
2024-05-11T05:55:01.391771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28.5
Mean length23.346154
Min length7

Characters and Unicode

Total characters607
Distinct characters68
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)69.2%

Sample

1st row서울특별시 종로구 종로3가 175번지 4호
2nd row서울특별시 종로구 창신동 766호
3rd row 호
4th row서울특별시 종로구 종로6가 289번지 3 호
5th row서울특별시 종로구 종로6가 289번지 57호
ValueCountFrequency (%)
서울특별시 24
18.8%
종로구 24
18.8%
호 4
 
3.1%
숭인동 4
 
3.1%
창신동 4
 
3.1%
종로6가 3
 
2.3%
인의동 2
 
1.6%
1층 2
 
1.6%
서린동 2
 
1.6%
206-9 2
 
1.6%
Other values (45) 57
44.5%
2024-05-11T05:55:02.662272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
21.6%
종 33
 
5.4%
로 31
 
5.1%
시 27
 
4.4%
서 26
 
4.3%
특 24
 
4.0%
별 24
 
4.0%
구 24
 
4.0%
울 24
 
4.0%
지 23
 
3.8%
Other values (58) 240
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
63.6%
Space Separator 131
 
21.6%
Decimal Number 87
 
14.3%
Dash Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 33
 
8.5%
로 31
 
8.0%
시 27
 
7.0%
서 26
 
6.7%
특 24
 
6.2%
별 24
 
6.2%
구 24
 
6.2%
울 24
 
6.2%
지 23
 
6.0%
동 20
 
5.2%
Other values (45) 130
33.7%
Decimal Number
ValueCountFrequency (%)
2 15
17.2%
6 15
17.2%
1 12
13.8%
3 11
12.6%
8 10
11.5%
7 8
9.2%
4 5
 
5.7%
9 5
 
5.7%
0 3
 
3.4%
5 3
 
3.4%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
63.6%
Common 220
36.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 33
 
8.5%
로 31
 
8.0%
시 27
 
7.0%
서 26
 
6.7%
특 24
 
6.2%
별 24
 
6.2%
구 24
 
6.2%
울 24
 
6.2%
지 23
 
6.0%
동 20
 
5.2%
Other values (45) 130
33.7%
Common
ValueCountFrequency (%)
131
59.5%
2 15
 
6.8%
6 15
 
6.8%
1 12
 
5.5%
3 11
 
5.0%
8 10
 
4.5%
7 8
 
3.6%
4 5
 
2.3%
9 5
 
2.3%
0 3
 
1.4%
Other values (2) 5
 
2.3%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
63.6%
ASCII 221
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
59.3%
2 15
 
6.8%
6 15
 
6.8%
1 12
 
5.4%
3 11
 
5.0%
8 10
 
4.5%
7 8
 
3.6%
4 5
 
2.3%
9 5
 
2.3%
0 3
 
1.4%
Other values (3) 6
 
2.7%
Hangul
ValueCountFrequency (%)
종 33
 
8.5%
로 31
 
8.0%
시 27
 
7.0%
서 26
 
6.7%
특 24
 
6.2%
별 24
 
6.2%
구 24
 
6.2%
울 24
 
6.2%
지 23
 
6.0%
동 20
 
5.2%
Other values (45) 130
33.7%

도로명주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing10
Missing (%)37.0%
Memory size348.0 B
2024-05-11T05:55:03.454815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length28.588235
Min length21

Characters and Unicode

Total characters486
Distinct characters79
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

Unique17 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 종로 266 (종로6가)
2nd row서울특별시 종로구 종로 272 (종로6가)
3rd row서울특별시 종로구 종로 1 (종로1가)
4th row서울특별시 종로구 종로 266, 동대문종합시장D동상가 동 (종로6가)
5th row서울특별시 종로구 청계천로 41 (서린동)
ValueCountFrequency (%)
서울특별시 17
 
17.2%
종로구 16
 
16.2%
종로 6
 
6.1%
숭인동 4
 
4.0%
종로6가 3
 
3.0%
낙원동 2
 
2.0%
창신동 2
 
2.0%
삼일대로 2
 
2.0%
428 2
 
2.0%
낙원상가 2
 
2.0%
Other values (36) 43
43.4%
2024-05-11T05:55:04.715193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
17.3%
로 37
 
7.6%
종 30
 
6.2%
시 21
 
4.3%
서 18
 
3.7%
) 17
 
3.5%
( 17
 
3.5%
울 17
 
3.5%
특 17
 
3.5%
별 17
 
3.5%
Other values (69) 211
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
61.3%
Space Separator 84
 
17.3%
Decimal Number 59
 
12.1%
Close Punctuation 17
 
3.5%
Open Punctuation 17
 
3.5%
Other Punctuation 9
 
1.9%
Dash Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 37
 
12.4%
종 30
 
10.1%
시 21
 
7.0%
서 18
 
6.0%
울 17
 
5.7%
특 17
 
5.7%
별 17
 
5.7%
구 16
 
5.4%
동 16
 
5.4%
가 7
 
2.3%
Other values (53) 102
34.2%
Decimal Number
ValueCountFrequency (%)
1 13
22.0%
6 9
15.3%
2 9
15.3%
4 8
13.6%
8 6
10.2%
7 4
 
6.8%
0 3
 
5.1%
5 3
 
5.1%
9 2
 
3.4%
3 2
 
3.4%
Space Separator
ValueCountFrequency (%)
84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
61.3%
Common 187
38.5%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 37
 
12.4%
종 30
 
10.1%
시 21
 
7.0%
서 18
 
6.0%
울 17
 
5.7%
특 17
 
5.7%
별 17
 
5.7%
구 16
 
5.4%
동 16
 
5.4%
가 7
 
2.3%
Other values (53) 102
34.2%
Common
ValueCountFrequency (%)
84
44.9%
) 17
 
9.1%
( 17
 
9.1%
1 13
 
7.0%
, 9
 
4.8%
6 9
 
4.8%
2 9
 
4.8%
4 8
 
4.3%
8 6
 
3.2%
7 4
 
2.1%
Other values (5) 11
 
5.9%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
61.3%
ASCII 188
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
44.7%
) 17
 
9.0%
( 17
 
9.0%
1 13
 
6.9%
, 9
 
4.8%
6 9
 
4.8%
2 9
 
4.8%
4 8
 
4.3%
8 6
 
3.2%
7 4
 
2.1%
Other values (6) 12
 
6.4%
Hangul
ValueCountFrequency (%)
로 37
 
12.4%
종 30
 
10.1%
시 21
 
7.0%
서 18
 
6.0%
울 17
 
5.7%
특 17
 
5.7%
별 17
 
5.7%
구 16
 
5.4%
동 16
 
5.4%
가 7
 
2.3%
Other values (53) 102
34.2%

도로명우편번호
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing10
Missing (%)37.0%
Memory size348.0 B
2024-05-11T05:55:05.179670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7058824
Min length5

Characters and Unicode

Total characters97
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

Unique13 ?
Unique (%)76.5%

Sample

1st row110784
2nd row110126
3rd row110714
4th row03198
5th row110752
ValueCountFrequency (%)
03140 2
 
11.8%
03117 2
 
11.8%
110784 1
 
5.9%
110126 1
 
5.9%
110714 1
 
5.9%
03198 1
 
5.9%
110752 1
 
5.9%
03130 1
 
5.9%
03095 1
 
5.9%
110-410 1
 
5.9%
Other values (5) 5
29.4%
2024-05-11T05:55:06.134856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 29
29.9%
0 23
23.7%
3 10
 
10.3%
4 7
 
7.2%
7 7
 
7.2%
8 5
 
5.2%
2 4
 
4.1%
6 3
 
3.1%
9 3
 
3.1%
5 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94
96.9%
Dash Punctuation 3
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
30.9%
0 23
24.5%
3 10
 
10.6%
4 7
 
7.4%
7 7
 
7.4%
8 5
 
5.3%
2 4
 
4.3%
6 3
 
3.2%
9 3
 
3.2%
5 3
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 29
29.9%
0 23
23.7%
3 10
 
10.3%
4 7
 
7.2%
7 7
 
7.2%
8 5
 
5.2%
2 4
 
4.1%
6 3
 
3.1%
9 3
 
3.1%
5 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 29
29.9%
0 23
23.7%
3 10
 
10.3%
4 7
 
7.2%
7 7
 
7.2%
8 5
 
5.2%
2 4
 
4.1%
6 3
 
3.1%
9 3
 
3.1%
5 3
 
3.1%

사업장명
Text

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-05-11T05:55:06.615731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length8.037037
Min length4

Characters and Unicode

Total characters217
Distinct characters81
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)81.5%

Sample

1st row종로세운상가
2nd row숭인제일아케이트
3rd row광장시장주식회사
4th row동대문종합시장
5th row동대문종합시장 신관
ValueCountFrequency (%)
종로세운상가 3
 
8.3%
동대문종합시장 2
 
5.6%
홈플러스(주)익스프레스 2
 
5.6%
낙원상가 2
 
5.6%
세운스퀘어 1
 
2.8%
fresh 1
 
2.8%
the 1
 
2.8%
gs 1
 
2.8%
숭인제일아케이트 1
 
2.8%
신설종합시장(주 1
 
2.8%
Other values (21) 21
58.3%
2024-05-11T05:55:07.753241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 11
 
5.1%
종 9
 
4.1%
9
 
4.1%
시 9
 
4.1%
스 8
 
3.7%
상 8
 
3.7%
가 8
 
3.7%
문 8
 
3.7%
주 7
 
3.2%
동 6
 
2.8%
Other values (71) 134
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
86.6%
Uppercase Letter 11
 
5.1%
Space Separator 9
 
4.1%
Open Punctuation 4
 
1.8%
Close Punctuation 4
 
1.8%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 11
 
5.9%
종 9
 
4.8%
시 9
 
4.8%
스 8
 
4.3%
상 8
 
4.3%
가 8
 
4.3%
문 8
 
4.3%
주 7
 
3.7%
동 6
 
3.2%
신 5
 
2.7%
Other values (59) 109
58.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
18.2%
S 2
18.2%
E 2
18.2%
T 1
9.1%
F 1
9.1%
G 1
9.1%
R 1
9.1%
D 1
9.1%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
86.6%
Common 18
 
8.3%
Latin 11
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 11
 
5.9%
종 9
 
4.8%
시 9
 
4.8%
스 8
 
4.3%
상 8
 
4.3%
가 8
 
4.3%
문 8
 
4.3%
주 7
 
3.7%
동 6
 
3.2%
신 5
 
2.7%
Other values (59) 109
58.0%
Latin
ValueCountFrequency (%)
H 2
18.2%
S 2
18.2%
E 2
18.2%
T 1
9.1%
F 1
9.1%
G 1
9.1%
R 1
9.1%
D 1
9.1%
Common
ValueCountFrequency (%)
9
50.0%
( 4
22.2%
) 4
22.2%
1 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
86.6%
ASCII 29
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 11
 
5.9%
종 9
 
4.8%
시 9
 
4.8%
스 8
 
4.3%
상 8
 
4.3%
가 8
 
4.3%
문 8
 
4.3%
주 7
 
3.7%
동 6
 
3.2%
신 5
 
2.7%
Other values (59) 109
58.0%
ASCII
ValueCountFrequency (%)
9
31.0%
( 4
13.8%
) 4
13.8%
H 2
 
6.9%
S 2
 
6.9%
E 2
 
6.9%
T 1
 
3.4%
F 1
 
3.4%
G 1
 
3.4%
R 1
 
3.4%
Other values (2) 2
 
6.9%

최종수정일자
Date

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2007-07-21 10:27:56
Maximum2024-04-01 18:07:37
2024-05-11T05:55:08.217375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:55:08.812205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
U
14 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 14
51.9%
I 13
48.1%

Length

2024-05-11T05:55:09.388108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:55:09.883856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 14
51.9%
i 13
48.1%

데이터갱신일자
Date

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T05:55:10.263279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:55:10.832507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
그 밖의 대규모점포
15 
시장
3 
복합쇼핑몰
3 
대형마트
3 
전문점
2 

Length

Max length10
Median length10
Mean length7.1481481
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row그 밖의 대규모점포
2nd row그 밖의 대규모점포
3rd row그 밖의 대규모점포
4th row그 밖의 대규모점포
5th row그 밖의 대규모점포

Common Values

ValueCountFrequency (%)
그 밖의 대규모점포 15
55.6%
시장 3
 
11.1%
복합쇼핑몰 3
 
11.1%
대형마트 3
 
11.1%
전문점 2
 
7.4%
구분없음 1
 
3.7%

Length

2024-05-11T05:55:11.627244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:55:12.129268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그 15
26.3%
밖의 15
26.3%
대규모점포 15
26.3%
시장 3
 
5.3%
복합쇼핑몰 3
 
5.3%
대형마트 3
 
5.3%
전문점 2
 
3.5%
구분없음 1
 
1.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing7
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean199795.06
Minimum196467.98
Maximum201727.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T05:55:12.645498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196467.98
5-th percentile197638.43
Q1198717.14
median199837.41
Q3200995.81
95-th percentile201727.67
Maximum201727.67
Range5259.6958
Interquartile range (IQR)2278.6751

Descriptive statistics

Standard deviation1493.7266
Coefficient of variation (CV)0.0074762942
Kurtosis-0.50511838
Mean199795.06
Median Absolute Deviation (MAD)1245.8163
Skewness-0.55679317
Sum3995901.2
Variance2231219.3
MonotonicityNot monotonic
2024-05-11T05:55:13.114447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
199837.41426735 2
 
7.4%
198351.818737482 2
 
7.4%
201727.670840565 2
 
7.4%
198838.912965902 2
 
7.4%
201359.53353905 1
 
3.7%
196467.975088253 1
 
3.7%
200908.398396105 1
 
3.7%
197700.034013631 1
 
3.7%
200717.7490316 1
 
3.7%
199670.979884558 1
 
3.7%
Other values (6) 6
22.2%
(Missing) 7
25.9%
ValueCountFrequency (%)
196467.975088253 1
3.7%
197700.034013631 1
3.7%
197993.904628438 1
3.7%
198351.818737482 2
7.4%
198838.912965902 2
7.4%
199670.979884558 1
3.7%
199812.609633255 1
3.7%
199837.41426735 2
7.4%
200579.409754868 1
3.7%
200647.01325068 1
3.7%
ValueCountFrequency (%)
201727.670840565 2
7.4%
201359.53353905 1
3.7%
201273.887781838 1
3.7%
201258.062657124 1
3.7%
200908.398396105 1
3.7%
200717.7490316 1
3.7%
200647.01325068 1
3.7%
200579.409754868 1
3.7%
199837.41426735 2
7.4%
199812.609633255 1
3.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing7
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean452159.91
Minimum451921.6
Maximum452787.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-05-11T05:55:13.502882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451921.6
5-th percentile451921.6
Q1452019.84
median452093.71
Q3452232.44
95-th percentile452577.18
Maximum452787.13
Range865.52981
Interquartile range (IQR)212.59244

Descriptive statistics

Standard deviation221.30368
Coefficient of variation (CV)0.00048943676
Kurtosis2.3633439
Mean452159.91
Median Absolute Deviation (MAD)120.04125
Skewness1.491389
Sum9043198.2
Variance48975.319
MonotonicityNot monotonic
2024-05-11T05:55:13.964920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
451974.128468485 2
 
7.4%
451921.60302604 2
 
7.4%
452264.420237876 2
 
7.4%
452214.210961577 2
 
7.4%
452395.659064842 1
 
3.7%
452566.134030104 1
 
3.7%
452025.346454838 1
 
3.7%
452022.503467072 1
 
3.7%
452011.865092338 1
 
3.7%
452221.775006084 1
 
3.7%
Other values (6) 6
22.2%
(Missing) 7
25.9%
ValueCountFrequency (%)
451921.60302604 2
7.4%
451974.128468485 2
7.4%
452011.865092338 1
3.7%
452022.503467072 1
3.7%
452025.346454838 1
3.7%
452032.958591394 1
3.7%
452035.347658612 1
3.7%
452054.764927519 1
3.7%
452132.648343993 1
3.7%
452163.292543039 1
3.7%
ValueCountFrequency (%)
452787.132831042 1
3.7%
452566.134030104 1
3.7%
452395.659064842 1
3.7%
452264.420237876 2
7.4%
452221.775006084 1
3.7%
452214.210961577 2
7.4%
452163.292543039 1
3.7%
452132.648343993 1
3.7%
452054.764927519 1
3.7%
452035.347658612 1
3.7%

점포구분명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
14 
대규모점포
11 
준대규모점포
2 

Length

Max length6
Median length4
Mean length4.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row대규모점포
5th row대규모점포

Common Values

ValueCountFrequency (%)
<NA> 14
51.9%
대규모점포 11
40.7%
준대규모점포 2
 
7.4%

Length

2024-05-11T05:55:14.554449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:55:15.093997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
51.9%
대규모점포 11
40.7%
준대규모점포 2
 
7.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
03000000197130000760750000319710906<NA>2휴업2휴업처리<NA><NA><NA><NA>02 227853566194.0<NA>서울특별시 종로구 종로3가 175번지 4호<NA><NA>종로세운상가2007-07-21 10:27:56I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA><NA>
13000000198700000760750000519871207<NA>2휴업2휴업처리<NA><NA><NA><NA>031 3395465<NA><NA>서울특별시 종로구 창신동 766호<NA><NA>숭인제일아케이트2007-07-21 10:27:56I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA><NA>
23000000198730000760750000219871030<NA>2휴업2휴업처리<NA><NA><NA><NA>0222670291<NA><NA>호<NA><NA>광장시장주식회사2007-07-21 10:27:56I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA><NA>
33000000199130000760750000119910731<NA>1영업/정상1정상영업<NA><NA><NA><NA>022262020955081.94110784서울특별시 종로구 종로6가 289번지 3 호서울특별시 종로구 종로 266 (종로6가)110784동대문종합시장2021-07-08 09:20:23U2021-07-10 02:40:00.0그 밖의 대규모점포200717.749032452011.865092대규모점포
43000000200330000760750000320031020<NA>1영업/정상1정상영업<NA><NA><NA><NA>02227701144612.66110126서울특별시 종로구 종로6가 289번지 57호서울특별시 종로구 종로 272 (종로6가)110126동대문종합시장 신관2017-06-09 14:48:40I2018-08-31 23:59:59.0그 밖의 대규모점포200647.013251452054.764928대규모점포
53000000200330001290750000120030304<NA>1영업/정상1정상영업<NA><NA><NA><NA>2267-029116128.75110833서울특별시 종로구 예지동 6번지 1호<NA><NA>광장주식회사2007-08-01 17:39:46I2018-08-31 23:59:59.0시장199837.414267451974.128468<NA>
63000000200430000760750000220040430<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 39734454674.66110714서울특별시 종로구 종로1가 1번지서울특별시 종로구 종로 1 (종로1가)110714종로1번지아케이트2021-04-08 16:23:24U2021-04-10 02:40:00.0복합쇼핑몰197993.904628452032.958591대규모점포
73000000200430000760750000320040430<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 3995591<NA><NA>서울특별시 종로구 서린동 33호<NA><NA>영풍문고2007-07-21 10:27:56I2018-08-31 23:59:59.0대형마트198351.818737451921.603026<NA>
83000000200430000760750001720040630<NA>1영업/정상1정상영업<NA><NA><NA><NA>0236760177<NA><NA>서울특별시 종로구 창신동 436번지 79 호<NA><NA>동대문신발도매상가2007-07-21 10:27:56I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA><NA>
93000000200430000760750001820041210<NA>1영업/정상1정상영업<NA><NA><NA><NA>022279875111750.0<NA>서울특별시 종로구 종로6가 270번지 3호 동대문종합시장D동상가서울특별시 종로구 종로 266, 동대문종합시장D동상가 동 (종로6가)03198동대문종합시장D동상가2019-06-17 13:15:55U2019-06-19 02:40:00.0그 밖의 대규모점포200579.409755452035.347659준대규모점포
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
17300000020113000129075000012011-08-16<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-743-8546273.3110-876서울특별시 종로구 숭인동 76번지 롯데캐슬천지인 1층서울특별시 종로구 종로 347 (숭인동)110-876홈플러스(주)익스프레스 숭인점2024-04-01 18:07:37U2023-12-04 00:03:00.0구분없음201359.533539452395.659065<NA>
183000000201130001290750000220111007<NA>3폐업3폐업처리20140901<NA><NA><NA>72080167486.0110150서울특별시 종로구 중학동 62번지 외 66필지<NA><NA>중학아케이드2014-09-15 15:23:18I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA>대규모점포
19300000020113000129075000032011-12-20<NA>1영업/정상1정상영업<NA><NA><NA><NA>027379994432.9110-061서울특별시 종로구 신문로1가 24번지 고려빌딩 1층서울특별시 새문안로 91, 1층 (고려빌딩)110-796홈플러스(주)익스프레스 광화문점2024-04-01 18:06:58U2023-12-04 00:03:00.0복합쇼핑몰197700.034014452022.503467<NA>
203000000201230001290750000119550705<NA>1영업/정상1정상영업<NA><NA><NA><NA>2267-029116128.75110440서울특별시 종로구 예지동 6번지 1호서울특별시 종로구 창경궁로 88 (예지동)110834광장시장2020-10-04 14:50:40U2020-10-06 02:40:00.0복합쇼핑몰199837.414267451974.128468대규모점포
213000000201430001690750000119871030<NA>1영업/정상1정상영업<NA><NA><NA><NA>0276447663660.0<NA><NA>서울특별시 종로구 종로44길 14 (창신동)110842동문시장2021-02-03 07:59:28U2021-02-05 02:40:00.0시장200908.398396452025.346455대규모점포
223000000201930002020750000120190917<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-430-420025198.02<NA>서울특별시 종로구 낙원동 288번지 낙원상가서울특별시 종로구 삼일대로 428, 낙원상가 506호 (낙원동)03140낙원상가2019-09-25 15:06:02U2019-09-27 02:40:00.0그 밖의 대규모점포198838.912966452214.210962대규모점포
233000000201930002020750000220190917<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-743-613325198.02<NA>서울특별시 종로구 낙원동 288번지 낙원상가서울특별시 종로구 삼일대로 428, 낙원상가 (낙원동)03140낙원상가2019-09-25 15:05:06I2019-09-27 02:22:37.0그 밖의 대규모점포198838.912966452214.210962대규모점포
243000000202030002020750000119710325<NA>1영업/정상1정상영업<NA><NA><NA>19710325<NA>1313.0<NA>서울특별시 종로구 숭인동 206-9 신설종합시장 숭인동서울특별시 종로구 난계로27길 51, 신설종합시장 숭인동 (숭인동)03117신설종합시장2020-07-22 14:14:39I2020-07-24 00:23:15.0시장201727.670841452264.420238대규모점포
253000000202130002020750000119871030<NA>1영업/정상1정상영업<NA><NA><NA><NA>2234-71511313.0<NA>서울특별시 종로구 숭인동 206-9 신설종합시장서울특별시 종로구 난계로27길 51, 신설종합시장 (숭인동)03117신설종합시장(주)2021-02-03 08:15:07U2021-02-05 02:40:00.0그 밖의 대규모점포201727.670841452264.420238대규모점포
26300000020223000202075000012022-06-28<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-2006-2678297.0<NA>서울특별시 종로구 무악동 82 무악현대아파트서울특별시 종로구 통일로 246-10, 무악현대아파트 지하 1층 (무악동)03025GS THE FRESH 무악현대점2023-07-26 16:02:21U2022-12-06 22:08:00.0대형마트196467.975088452566.13403<NA>