Overview

Dataset statistics

Number of variables26
Number of observations30
Missing cells176
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory224.4 B

Variable types

Categorical8
Numeric5
DateTime3
Unsupported4
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-18710/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 24 (80.0%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
소재지면적 has 2 (6.7%) missing valuesMissing
소재지우편번호 has 15 (50.0%) missing valuesMissing
지번주소 has 5 (16.7%) missing valuesMissing
도로명주소 has 3 (10.0%) missing valuesMissing
도로명우편번호 has 3 (10.0%) missing valuesMissing
좌표정보(X) has 2 (6.7%) missing valuesMissing
좌표정보(Y) has 2 (6.7%) 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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-06 10:58:27.286354
Analysis finished2024-04-06 10:58:27.822113
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3080000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 30
100.0%

Length

2024-04-06T19:58:27.916286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:28.086711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 30
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9368941 × 1018
Minimum1.975308 × 1014
Maximum2.014308 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:58:28.287127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.975308 × 1014
5-th percentile1.968558 × 1018
Q12.003077 × 1018
median2.009308 × 1018
Q32.011308 × 1018
95-th percentile2.013308 × 1018
Maximum2.014308 × 1018
Range2.0141105 × 1018
Interquartile range (IQR)8.231012 × 1015

Descriptive statistics

Standard deviation3.660409 × 1017
Coefficient of variation (CV)0.18898344
Kurtosis29.906628
Mean1.9368941 × 1018
Median Absolute Deviation (MAD)3.0000047 × 1015
Skewness-5.4649592
Sum2.7665897 × 1018
Variance1.3398594 × 1035
MonotonicityNot monotonic
2024-04-06T19:58:28.540212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1966308016907500009 1
 
3.3%
2011308013907500001 1
 
3.3%
2014308013907500001 1
 
3.3%
2013308013907500002 1
 
3.3%
2013308013907500001 1
 
3.3%
2012308013907500003 1
 
3.3%
2012308013907500002 1
 
3.3%
2012308013907500001 1
 
3.3%
2011308013907500008 1
 
3.3%
2011308013907500007 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
197530801690752 1
3.3%
1966308016907500009 1
3.3%
1971308013907500001 1
3.3%
1971308016907500002 1
3.3%
1975308016907500002 1
3.3%
1998308007507500012 1
3.3%
1998308009207500001 1
3.3%
2003000000007500013 1
3.3%
2003308007507500005 1
3.3%
2003308007507500012 1
3.3%
ValueCountFrequency (%)
2014308013907500001 1
3.3%
2013308013907500002 1
3.3%
2013308013907500001 1
3.3%
2012308013907500003 1
3.3%
2012308013907500002 1
3.3%
2012308013907500001 1
3.3%
2011308013907500008 1
3.3%
2011308013907500007 1
3.3%
2011308013907500006 1
3.3%
2011308013907500005 1
3.3%

인허가일자
Date

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1962-08-21 00:00:00
Maximum2014-12-24 00:00:00
2024-04-06T19:58:28.765672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:58:28.963328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
21 
3
6 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
70.0%
3 6
 
20.0%
2 3
 
10.0%

Length

2024-04-06T19:58:29.183041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:29.356739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
70.0%
3 6
 
20.0%
2 3
 
10.0%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
21 
폐업
6 
휴업
3 

Length

Max length5
Median length5
Mean length4.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
70.0%
폐업 6
 
20.0%
휴업 3
 
10.0%

Length

2024-04-06T19:58:29.821395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:29.987362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
70.0%
폐업 6
 
20.0%
휴업 3
 
10.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
21 
3
6 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
70.0%
3 6
 
20.0%
2 3
 
10.0%

Length

2024-04-06T19:58:30.199524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:30.378239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
70.0%
3 6
 
20.0%
2 3
 
10.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
정상영업
21 
폐업처리
6 
휴업처리
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 21
70.0%
폐업처리 6
 
20.0%
휴업처리 3
 
10.0%

Length

2024-04-06T19:58:30.520776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:30.649448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 21
70.0%
폐업처리 6
 
20.0%
휴업처리 3
 
10.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing24
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean20185653
Minimum20141222
Maximum20220115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:58:30.760481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20141222
5-th percentile20146199
Q120168404
median20195374
Q320200658
95-th percentile20215262
Maximum20220115
Range78893
Interquartile range (IQR)32254.25

Descriptive statistics

Standard deviation29091.793
Coefficient of variation (CV)0.0014412113
Kurtosis-0.61117992
Mean20185653
Median Absolute Deviation (MAD)15035
Skewness-0.66701922
Sum1.2111392 × 108
Variance8.4633239 × 108
MonotonicityNot monotonic
2024-04-06T19:58:30.938013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20141222 1
 
3.3%
20161130 1
 
3.3%
20220115 1
 
3.3%
20200704 1
 
3.3%
20190227 1
 
3.3%
20200522 1
 
3.3%
(Missing) 24
80.0%
ValueCountFrequency (%)
20141222 1
3.3%
20161130 1
3.3%
20190227 1
3.3%
20200522 1
3.3%
20200704 1
3.3%
20220115 1
3.3%
ValueCountFrequency (%)
20220115 1
3.3%
20200704 1
3.3%
20200522 1
3.3%
20190227 1
3.3%
20161130 1
3.3%
20141222 1
3.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T19:58:31.251232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.8
Min length7

Characters and Unicode

Total characters294
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

Unique28 ?
Unique (%)93.3%

Sample

1st row02-989-4730
2nd row02-901-1683
3rd row02-902-1353
4th row02-980-0740
5th row02-980-0740
ValueCountFrequency (%)
02 6
 
16.7%
02-980-0740 2
 
5.6%
9867000 2
 
5.6%
988-5103 1
 
2.8%
02-994-3989 1
 
2.8%
02-993-0240 1
 
2.8%
944-3984 1
 
2.8%
02-980-8547 1
 
2.8%
980-5670 1
 
2.8%
984-5601 1
 
2.8%
Other values (19) 19
52.8%
2024-04-06T19:58:31.772841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
19.4%
9 41
13.9%
2 35
11.9%
8 31
10.5%
- 30
10.2%
4 20
 
6.8%
3 18
 
6.1%
5 16
 
5.4%
1 16
 
5.4%
7 10
 
3.4%
Other values (2) 20
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 254
86.4%
Dash Punctuation 30
 
10.2%
Space Separator 10
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
22.4%
9 41
16.1%
2 35
13.8%
8 31
12.2%
4 20
 
7.9%
3 18
 
7.1%
5 16
 
6.3%
1 16
 
6.3%
7 10
 
3.9%
6 10
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
19.4%
9 41
13.9%
2 35
11.9%
8 31
10.5%
- 30
10.2%
4 20
 
6.8%
3 18
 
6.1%
5 16
 
5.4%
1 16
 
5.4%
7 10
 
3.4%
Other values (2) 20
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
19.4%
9 41
13.9%
2 35
11.9%
8 31
10.5%
- 30
10.2%
4 20
 
6.8%
3 18
 
6.1%
5 16
 
5.4%
1 16
 
5.4%
7 10
 
3.4%
Other values (2) 20
 
6.8%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)92.9%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean4626.4311
Minimum0
Maximum45651.37
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:58:31.992789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile232.8445
Q1849.52
median2786.9
Q34388.5825
95-th percentile11269.776
Maximum45651.37
Range45651.37
Interquartile range (IQR)3539.0625

Descriptive statistics

Standard deviation8555.8948
Coefficient of variation (CV)1.849351
Kurtosis21.154548
Mean4626.4311
Median Absolute Deviation (MAD)1957.86
Skewness4.3886773
Sum129540.07
Variance73203335
MonotonicityNot monotonic
2024-04-06T19:58:32.177263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2837.0 3
 
10.0%
2736.8 1
 
3.3%
12353.04 1
 
3.3%
1061.0 1
 
3.3%
245.37 1
 
3.3%
788.08 1
 
3.3%
303.4 1
 
3.3%
500.56 1
 
3.3%
226.1 1
 
3.3%
1662.2 1
 
3.3%
Other values (16) 16
53.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
0.0 1
3.3%
226.1 1
3.3%
245.37 1
3.3%
303.4 1
3.3%
490.0 1
3.3%
500.56 1
3.3%
788.08 1
3.3%
870.0 1
3.3%
1061.0 1
3.3%
1662.2 1
3.3%
ValueCountFrequency (%)
45651.37 1
3.3%
12353.04 1
3.3%
9258.0 1
3.3%
8319.26 1
3.3%
5301.07 1
3.3%
5023.11 1
3.3%
4834.6 1
3.3%
4239.91 1
3.3%
3634.6 1
3.3%
3553.11 1
3.3%

소재지우편번호
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing15
Missing (%)50.0%
Memory size372.0 B
2024-04-06T19:58:32.421305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0666667
Min length6

Characters and Unicode

Total characters91
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

Unique12 ?
Unique (%)80.0%

Sample

1st row142061
2nd row142874
3rd row142876
4th row142870
5th row142804
ValueCountFrequency (%)
142100 3
20.0%
142061 1
 
6.7%
142874 1
 
6.7%
142876 1
 
6.7%
142870 1
 
6.7%
142804 1
 
6.7%
142815 1
 
6.7%
142073 1
 
6.7%
142-061 1
 
6.7%
142866 1
 
6.7%
Other values (3) 3
20.0%
2024-04-06T19:58:32.910454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23
25.3%
4 17
18.7%
2 15
16.5%
0 13
14.3%
8 7
 
7.7%
7 7
 
7.7%
6 5
 
5.5%
3 2
 
2.2%
5 1
 
1.1%
- 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
98.9%
Dash Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
25.6%
4 17
18.9%
2 15
16.7%
0 13
14.4%
8 7
 
7.8%
7 7
 
7.8%
6 5
 
5.6%
3 2
 
2.2%
5 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23
25.3%
4 17
18.7%
2 15
16.5%
0 13
14.3%
8 7
 
7.7%
7 7
 
7.7%
6 5
 
5.5%
3 2
 
2.2%
5 1
 
1.1%
- 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23
25.3%
4 17
18.7%
2 15
16.5%
0 13
14.3%
8 7
 
7.7%
7 7
 
7.7%
6 5
 
5.5%
3 2
 
2.2%
5 1
 
1.1%
- 1
 
1.1%

지번주소
Text

MISSING 

Distinct22
Distinct (%)88.0%
Missing5
Missing (%)16.7%
Memory size372.0 B
2024-04-06T19:58:33.266336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length26
Mean length22.48
Min length7

Characters and Unicode

Total characters562
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row서울특별시 강북구 수유동 54번지 5호 수유시장
2nd row서울특별시 강북구 번1동 413번지 3호
3rd row서울특별시 강북구 수유동 32번지 2호 수유중앙시장
4th row서울특별시 강북구 미아동 701번지 3호 동북프라자
5th row서울특별시 강북구 미아동 701번지 3호 동북프라자
ValueCountFrequency (%)
서울특별시 24
19.8%
강북구 24
19.8%
미아동 9
 
7.4%
수유동 7
 
5.8%
5호 5
 
4.1%
3호 4
 
3.3%
호 3
 
2.5%
179번지 2
 
1.7%
54번지 2
 
1.7%
1호 2
 
1.7%
Other values (34) 39
32.2%
2024-04-06T19:58:33.782887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
19.8%
동 27
 
4.8%
시 26
 
4.6%
북 26
 
4.6%
서 24
 
4.3%
특 24
 
4.3%
별 24
 
4.3%
강 24
 
4.3%
구 24
 
4.3%
울 24
 
4.3%
Other values (42) 228
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
63.9%
Space Separator 111
 
19.8%
Decimal Number 91
 
16.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
7.5%
시 26
 
7.2%
북 26
 
7.2%
서 24
 
6.7%
특 24
 
6.7%
별 24
 
6.7%
강 24
 
6.7%
구 24
 
6.7%
울 24
 
6.7%
번 23
 
6.4%
Other values (30) 113
31.5%
Decimal Number
ValueCountFrequency (%)
1 21
23.1%
3 18
19.8%
5 14
15.4%
4 8
 
8.8%
2 7
 
7.7%
7 7
 
7.7%
6 5
 
5.5%
0 5
 
5.5%
9 4
 
4.4%
8 2
 
2.2%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
63.9%
Common 203
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
7.5%
시 26
 
7.2%
북 26
 
7.2%
서 24
 
6.7%
특 24
 
6.7%
별 24
 
6.7%
강 24
 
6.7%
구 24
 
6.7%
울 24
 
6.7%
번 23
 
6.4%
Other values (30) 113
31.5%
Common
ValueCountFrequency (%)
111
54.7%
1 21
 
10.3%
3 18
 
8.9%
5 14
 
6.9%
4 8
 
3.9%
2 7
 
3.4%
7 7
 
3.4%
6 5
 
2.5%
0 5
 
2.5%
9 4
 
2.0%
Other values (2) 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
63.9%
ASCII 203
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
54.7%
1 21
 
10.3%
3 18
 
8.9%
5 14
 
6.9%
4 8
 
3.9%
2 7
 
3.4%
7 7
 
3.4%
6 5
 
2.5%
0 5
 
2.5%
9 4
 
2.0%
Other values (2) 3
 
1.5%
Hangul
ValueCountFrequency (%)
동 27
 
7.5%
시 26
 
7.2%
북 26
 
7.2%
서 24
 
6.7%
특 24
 
6.7%
별 24
 
6.7%
강 24
 
6.7%
구 24
 
6.7%
울 24
 
6.7%
번 23
 
6.4%
Other values (30) 113
31.5%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)81.5%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-04-06T19:58:34.114100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length33
Mean length27.703704
Min length22

Characters and Unicode

Total characters748
Distinct characters63
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)66.7%

Sample

1st row서울특별시 강북구 도봉로67길 18, 수유시장 (수유동)
2nd row서울특별시 강북구 한천로123길 26 (번동)
3rd row서울특별시 강북구 노해로17길 21, 수유중앙시장 (수유동)
4th row서울특별시 강북구 솔샘로 233, 동북프라자 (미아동)
5th row서울특별시 강북구 솔샘로 233, 동북프라자 (미아동)
ValueCountFrequency (%)
서울특별시 27
18.5%
강북구 27
18.5%
미아동 14
 
9.6%
수유동 10
 
6.8%
도봉로 8
 
5.5%
18 4
 
2.7%
한천로148길 3
 
2.1%
12-43 3
 
2.1%
번동 3
 
2.1%
도봉로33길 2
 
1.4%
Other values (37) 45
30.8%
2024-04-06T19:58:34.694486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
15.9%
1 32
 
4.3%
동 30
 
4.0%
시 29
 
3.9%
북 29
 
3.9%
서 27
 
3.6%
로 27
 
3.6%
( 27
 
3.6%
) 27
 
3.6%
구 27
 
3.6%
Other values (53) 374
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
59.1%
Space Separator 119
 
15.9%
Decimal Number 117
 
15.6%
Open Punctuation 27
 
3.6%
Close Punctuation 27
 
3.6%
Other Punctuation 11
 
1.5%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
6.8%
시 29
 
6.6%
북 29
 
6.6%
서 27
 
6.1%
로 27
 
6.1%
구 27
 
6.1%
울 27
 
6.1%
강 27
 
6.1%
별 27
 
6.1%
특 27
 
6.1%
Other values (38) 165
37.3%
Decimal Number
ValueCountFrequency (%)
1 32
27.4%
2 23
19.7%
3 16
13.7%
6 10
 
8.5%
4 9
 
7.7%
7 9
 
7.7%
8 8
 
6.8%
5 6
 
5.1%
9 3
 
2.6%
0 1
 
0.9%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
59.1%
Common 306
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
6.8%
시 29
 
6.6%
북 29
 
6.6%
서 27
 
6.1%
로 27
 
6.1%
구 27
 
6.1%
울 27
 
6.1%
강 27
 
6.1%
별 27
 
6.1%
특 27
 
6.1%
Other values (38) 165
37.3%
Common
ValueCountFrequency (%)
119
38.9%
1 32
 
10.5%
( 27
 
8.8%
) 27
 
8.8%
2 23
 
7.5%
3 16
 
5.2%
, 11
 
3.6%
6 10
 
3.3%
4 9
 
2.9%
7 9
 
2.9%
Other values (5) 23
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
59.1%
ASCII 306
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
38.9%
1 32
 
10.5%
( 27
 
8.8%
) 27
 
8.8%
2 23
 
7.5%
3 16
 
5.2%
, 11
 
3.6%
6 10
 
3.3%
4 9
 
2.9%
7 9
 
2.9%
Other values (5) 23
 
7.5%
Hangul
ValueCountFrequency (%)
동 30
 
6.8%
시 29
 
6.6%
북 29
 
6.6%
서 27
 
6.1%
로 27
 
6.1%
구 27
 
6.1%
울 27
 
6.1%
강 27
 
6.1%
별 27
 
6.1%
특 27
 
6.1%
Other values (38) 165
37.3%

도로명우편번호
Text

MISSING 

Distinct20
Distinct (%)74.1%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-04-06T19:58:35.051931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9259259
Min length5

Characters and Unicode

Total characters160
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

Unique15 ?
Unique (%)55.6%

Sample

1st row01117
2nd row142061
3rd row01076
4th row01189
5th row01189
ValueCountFrequency (%)
142876 3
 
11.1%
142100 3
 
11.1%
01189 2
 
7.4%
142874 2
 
7.4%
142815 2
 
7.4%
142814 1
 
3.7%
01117 1
 
3.7%
142866 1
 
3.7%
142-808 1
 
3.7%
142730 1
 
3.7%
Other values (10) 10
37.0%
2024-04-06T19:58:35.620678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 42
26.2%
4 28
17.5%
2 23
14.4%
8 20
12.5%
0 19
11.9%
7 11
 
6.9%
6 8
 
5.0%
9 3
 
1.9%
- 3
 
1.9%
5 2
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 157
98.1%
Dash Punctuation 3
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
26.8%
4 28
17.8%
2 23
14.6%
8 20
12.7%
0 19
12.1%
7 11
 
7.0%
6 8
 
5.1%
9 3
 
1.9%
5 2
 
1.3%
3 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 42
26.2%
4 28
17.5%
2 23
14.4%
8 20
12.5%
0 19
11.9%
7 11
 
6.9%
6 8
 
5.0%
9 3
 
1.9%
- 3
 
1.9%
5 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 42
26.2%
4 28
17.5%
2 23
14.4%
8 20
12.5%
0 19
11.9%
7 11
 
6.9%
6 8
 
5.0%
9 3
 
1.9%
- 3
 
1.9%
5 2
 
1.2%

사업장명
Text

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T19:58:35.973646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.0333333
Min length4

Characters and Unicode

Total characters241
Distinct characters61
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

Unique21 ?
Unique (%)70.0%

Sample

1st row수유시장
2nd row북부시장
3rd row수유중앙시장
4th row동북프라자
5th row동북시장
ValueCountFrequency (%)
강북종합시장 4
 
10.8%
수유프라자 3
 
8.1%
트레지오 2
 
5.4%
북부시장 2
 
5.4%
미아점 2
 
5.4%
롯데쇼핑(주)롯데슈퍼수유점 1
 
2.7%
수유시장 1
 
2.7%
강북미아점 1
 
2.7%
주)지에스리테일gs수퍼 1
 
2.7%
우이시장 1
 
2.7%
Other values (19) 19
51.4%
2024-04-06T19:58:36.531807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 12
 
5.0%
장 12
 
5.0%
북 12
 
5.0%
점 11
 
4.6%
데 10
 
4.1%
( 9
 
3.7%
) 9
 
3.7%
주 9
 
3.7%
롯 9
 
3.7%
수 8
 
3.3%
Other values (51) 140
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
88.8%
Open Punctuation 9
 
3.7%
Close Punctuation 9
 
3.7%
Space Separator 7
 
2.9%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 12
 
5.6%
장 12
 
5.6%
북 12
 
5.6%
점 11
 
5.1%
데 10
 
4.7%
주 9
 
4.2%
롯 9
 
4.2%
수 8
 
3.7%
유 8
 
3.7%
스 6
 
2.8%
Other values (46) 117
54.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
88.8%
Common 25
 
10.4%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 12
 
5.6%
장 12
 
5.6%
북 12
 
5.6%
점 11
 
5.1%
데 10
 
4.7%
주 9
 
4.2%
롯 9
 
4.2%
수 8
 
3.7%
유 8
 
3.7%
스 6
 
2.8%
Other values (46) 117
54.7%
Common
ValueCountFrequency (%)
( 9
36.0%
) 9
36.0%
7
28.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
88.8%
ASCII 27
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 12
 
5.6%
장 12
 
5.6%
북 12
 
5.6%
점 11
 
5.1%
데 10
 
4.7%
주 9
 
4.2%
롯 9
 
4.2%
수 8
 
3.7%
유 8
 
3.7%
스 6
 
2.8%
Other values (46) 117
54.7%
ASCII
ValueCountFrequency (%)
( 9
33.3%
) 9
33.3%
7
25.9%
S 1
 
3.7%
G 1
 
3.7%

최종수정일자
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2007-06-30 10:46:45
Maximum2024-03-25 18:03:11
2024-04-06T19:58:36.807494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:58:37.039130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
16 
I
14 

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 16
53.3%
I 14
46.7%

Length

2024-04-06T19:58:37.219455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:37.362487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 16
53.3%
i 14
46.7%

데이터갱신일자
Date

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:07:00
2024-04-06T19:58:37.489620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:58:37.659245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
그 밖의 대규모점포
14 
대형마트
7 
시장
3 
복합쇼핑몰
3 
쇼핑센터
2 

Length

Max length10
Median length5
Mean length6.7
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
그 밖의 대규모점포 14
46.7%
대형마트 7
23.3%
시장 3
 
10.0%
복합쇼핑몰 3
 
10.0%
쇼핑센터 2
 
6.7%
구분없음 1
 
3.3%

Length

2024-04-06T19:58:37.864906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:38.072746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그 14
24.1%
밖의 14
24.1%
대규모점포 14
24.1%
대형마트 7
12.1%
시장 3
 
5.2%
복합쇼핑몰 3
 
5.2%
쇼핑센터 2
 
3.4%
구분없음 1
 
1.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)75.0%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean202101.6
Minimum201354.55
Maximum202888.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:58:38.249553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201354.55
5-th percentile201527.93
Q1201753.25
median202084.34
Q3202397.73
95-th percentile202636.57
Maximum202888.31
Range1533.7601
Interquartile range (IQR)644.48748

Descriptive statistics

Standard deviation414.12223
Coefficient of variation (CV)0.0020490794
Kurtosis-0.98670436
Mean202101.6
Median Absolute Deviation (MAD)338.27681
Skewness0.051093954
Sum5658844.8
Variance171497.22
MonotonicityNot monotonic
2024-04-06T19:58:38.450620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
202000.513660624 3
 
10.0%
201956.180985499 2
 
6.7%
202197.096261719 2
 
6.7%
202608.934103734 2
 
6.7%
202266.448738483 2
 
6.7%
201589.777957863 2
 
6.7%
202625.646264572 1
 
3.3%
202558.581755334 1
 
3.3%
201354.553491054 1
 
3.3%
202642.446045912 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
201354.553491054 1
 
3.3%
201494.627293774 1
 
3.3%
201589.777957863 2
6.7%
201602.577531291 1
 
3.3%
201692.868936629 1
 
3.3%
201731.684416461 1
 
3.3%
201760.433753367 1
 
3.3%
201812.904685238 1
 
3.3%
201956.180985499 2
6.7%
202000.513660624 3
10.0%
ValueCountFrequency (%)
202888.313576922 1
3.3%
202642.446045912 1
3.3%
202625.646264572 1
3.3%
202615.0 1
3.3%
202608.934103734 2
6.7%
202558.581755334 1
3.3%
202344.117949112 1
3.3%
202314.47965444 1
3.3%
202266.448738483 2
6.7%
202197.096261719 2
6.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)75.0%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean458355.24
Minimum456636.31
Maximum460402.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T19:58:38.653164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456636.31
5-th percentile456749.15
Q1457481.35
median458425.35
Q3459318.2
95-th percentile459981.49
Maximum460402.07
Range3765.7573
Interquartile range (IQR)1836.8442

Descriptive statistics

Standard deviation1155.0337
Coefficient of variation (CV)0.002519953
Kurtosis-1.2504287
Mean458355.24
Median Absolute Deviation (MAD)893.45288
Skewness0.089894276
Sum12833947
Variance1334102.8
MonotonicityNot monotonic
2024-04-06T19:58:38.848446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
458815.97773382 3
 
10.0%
458714.365820521 2
 
6.7%
459964.530646857 2
 
6.7%
459320.030764534 2
 
6.7%
457691.802407444 2
 
6.7%
457545.100871485 2
 
6.7%
456875.973976242 1
 
3.3%
456709.916330722 1
 
3.3%
459317.583083716 1
 
3.3%
456636.308192293 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
456636.308192293 1
3.3%
456709.916330722 1
3.3%
456822.0 1
3.3%
456845.373829971 1
3.3%
456875.973976242 1
3.3%
457219.335594234 1
3.3%
457290.100695375 1
3.3%
457545.100871485 2
6.7%
457691.802407444 2
6.7%
457821.853133872 1
3.3%
ValueCountFrequency (%)
460402.065518179 1
 
3.3%
459990.614346147 1
 
3.3%
459964.530646857 2
6.7%
459775.992830125 1
 
3.3%
459320.030764534 2
6.7%
459317.583083716 1
 
3.3%
459197.373185929 1
 
3.3%
458815.97773382 3
10.0%
458714.365820521 2
6.7%
458136.342274236 1
 
3.3%

점포구분명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
대규모점포
14 
<NA>
9 
준대규모점포
7 

Length

Max length6
Median length5
Mean length4.9333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대규모점포 14
46.7%
<NA> 9
30.0%
준대규모점포 7
23.3%

Length

2024-04-06T19:58:39.113569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:58:39.346107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대규모점포 14
46.7%
na 9
30.0%
준대규모점포 7
23.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
03080000196630801690750000919661219<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-989-47305301.07<NA>서울특별시 강북구 수유동 54번지 5호 수유시장서울특별시 강북구 도봉로67길 18, 수유시장 (수유동)01117수유시장2019-03-11 19:23:47I2019-03-13 02:21:48.0그 밖의 대규모점포201956.180985458714.365821대규모점포
13080000197130801390750000119710719<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-901-16832651.0142061서울특별시 강북구 번1동 413번지 3호서울특별시 강북구 한천로123길 26 (번동)142061북부시장2014-09-18 11:39:24I2018-08-31 23:59:59.0시장202608.934104459320.030765대규모점포
23080000197130801690750000219711118<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-902-13533634.6<NA>서울특별시 강북구 수유동 32번지 2호 수유중앙시장서울특별시 강북구 노해로17길 21, 수유중앙시장 (수유동)01076수유중앙시장2019-03-11 18:50:37I2019-03-13 02:21:48.0그 밖의 대규모점포201812.904685459775.99283대규모점포
33080000197530801690750000219750211<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-980-07405023.11<NA>서울특별시 강북구 미아동 701번지 3호 동북프라자서울특별시 강북구 솔샘로 233, 동북프라자 (미아동)01189동북프라자2020-10-28 14:41:07U2020-10-30 02:40:00.0그 밖의 대규모점포201589.777958457545.100871대규모점포
4308000019753080169075219750211<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-980-07403243.0<NA>서울특별시 강북구 미아동 701번지 3호 동북프라자서울특별시 강북구 솔샘로 233, 동북프라자 (미아동)01189동북시장2018-07-13 15:13:59I2018-08-31 23:59:59.0그 밖의 대규모점포201589.777958457545.100871대규모점포
53080000199830800750750001219981012<NA>2휴업2휴업처리<NA><NA><NA><NA>02 9880450<NA><NA>서울특별시 강북구 수유동 63호<NA><NA>수유프라자2007-06-30 10:46:45I2018-08-31 23:59:59.0그 밖의 대규모점포202000.513661458815.977734<NA>
6308000019983080092075000011998-06-25<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 98222784239.91<NA>서울특별시 강북구 수유동 63번지서울특별시 강북구 도봉로 261 (수유동, 삼호아파트,수유프라자)01114수유프라자2024-03-20 21:32:20U2023-12-02 22:02:00.0그 밖의 대규모점포202000.513661458815.977734<NA>
73080000200300000000750001320031209<NA>1영업/정상1정상영업<NA><NA><NA><NA>982-22780.0142874서울특별시 강북구 수유동 63번지서울특별시 강북구 도봉로 261 (수유동)142874수유프라자2015-05-19 11:00:37I2018-08-31 23:59:59.0그 밖의 대규모점포202000.513661458815.977734대규모점포
83080000200330800750750000520030425<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 98814309258.0<NA>서울특별시 강북구 미아동 58호서울특별시 강북구 도봉로 45 (미아동)142100숭인시장2019-03-11 19:22:07U2019-03-13 02:40:00.0그 밖의 대규모점포202558.581755456709.916331대규모점포
93080000200330800750750001220030805<NA>2휴업2휴업처리<NA><NA><NA><NA>02 9943989<NA><NA>호<NA><NA>강북종합시장2007-06-30 10:46:45I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
203080000201130801390750000520110909<NA>1영업/정상1정상영업<NA><NA><NA><NA>0002094415108319.26142100서울특별시 강북구 미아동 1359번지서울특별시 강북구 삼양로 247 (미아동)142100롯데쇼핑(주) 롯데마트 삼양점2022-05-24 14:32:18U2021-12-04 22:06:00.0복합쇼핑몰201494.627294458136.342274<NA>
213080000201130801390750000620110916<NA>3폐업3폐업처리20220115<NA><NA><NA>2290-58531662.2142071서울특별시 강북구 수유1동 54번지 5호서울특별시 강북구 도봉로67길 18 (수유동)142874롯데쇼핑(주)롯데슈퍼수유점2022-01-19 11:02:32U2022-01-21 02:40:00.0대형마트201956.180985458714.365821준대규모점포
223080000201130801390750000720110916<NA>3폐업3폐업처리20200704<NA><NA><NA>982-5601226.1142731서울특별시 강북구 삼각산동 812번지 삼성래미안트리베라2차아파트 상가 204동 115-119서울특별시 강북구 삼양로27길 19 (미아동)142818롯데쇼핑(주)롯데슈퍼삼양점2021-04-29 09:26:11U2021-05-01 02:40:00.0대형마트201731.684416457219.335594준대규모점포
233080000201130801390750000820111202<NA>1영업/정상1정상영업<NA><NA><NA><NA>32813652500.56142807서울특별시 강북구 미아동 1351번지서울특별시 강북구 도봉로 157, 112호 (미아동, 두원프라자)142814(주)이마트에브리데이 미아동점2021-05-17 12:58:44U2021-05-19 02:40:00.0대형마트202314.479654457821.853134준대규모점포
243080000201230801390750000120120320<NA>3폐업3폐업처리20190227<NA><NA><NA>984-5601303.4<NA><NA>서울특별시 강북구 삼양로19길 25, 110동 지하1층 5호,6호 (미아동, 삼성래미안트리베라1차)142730롯데쇼핑(주)롯데슈퍼미아점2019-03-07 11:01:17U2019-03-09 02:40:00.0대형마트201760.433753456845.37383준대규모점포
253080000201230801390750000220120322<NA>1영업/정상1정상영업<NA><NA><NA><NA>980-5670788.08<NA><NA>서울특별시 강북구 도봉로33길 18 (미아동)142815(주)농협유통 미아점2014-10-08 17:32:06I2018-08-31 23:59:59.0대형마트202266.448738457691.802407준대규모점포
26308000020123080139075000032012-03-22<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-980-8547245.37<NA><NA>서울특별시 강북구 도봉로 172 (미아동)142-808홈플러스(주)익스프레스미아점2024-03-25 18:03:11U2023-12-02 22:07:00.0구분없음202344.117949457986.172254<NA>
273080000201330801390750000120130220<NA>3폐업3폐업처리20200522<NA><NA><NA>944-39842837.0<NA><NA>서울특별시 강북구 한천로148길 12-43 (수유동)142876강북종합시장2020-05-22 15:51:23U2020-05-24 02:40:00.0시장202168.158127459990.614346대규모점포
28308000020133080139075000021962-08-21<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-993-02401061.0<NA><NA>서울특별시 강북구 노해로23길 68 (수유동)142-879우이시장2024-03-20 21:34:46U2023-12-02 22:02:00.0그 밖의 대규모점포201692.868937460402.065518<NA>
293080000201430801390750000120141224<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-981-115112353.04142100서울특별시 강북구 미아동 71번지 1호서울특별시 강북구 도봉로 52 (미아동)142100연이스퀘어2019-03-11 15:16:58U2019-03-13 02:40:00.0쇼핑센터202615.0456822.0대규모점포