Overview

Dataset statistics

Number of variables26
Number of observations33
Missing cells183
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory224.0 B

Variable types

Categorical10
Numeric4
DateTime2
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18723/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (62.7%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
소재지우편번호 has 25 (75.8%) missing valuesMissing
지번주소 has 18 (54.5%) missing valuesMissing
도로명주소 has 1 (3.0%) missing valuesMissing
도로명우편번호 has 5 (15.2%) missing valuesMissing
좌표정보(X) has 1 (3.0%) missing valuesMissing
좌표정보(Y) has 1 (3.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:47:25.691152
Analysis finished2024-04-29 19:47:26.334496
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3210000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 33
100.0%

Length

2024-04-30T04:47:26.409492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:26.485687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0099877 × 1018
Minimum1.979321 × 1018
Maximum2.016321 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:47:26.576085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.979321 × 1018
5-th percentile1.990121 × 1018
Q12.012321 × 1018
median2.013321 × 1018
Q32.013321 × 1018
95-th percentile2.014721 × 1018
Maximum2.016321 × 1018
Range3.7000003 × 1016
Interquartile range (IQR)1 × 1015

Descriptive statistics

Standard deviation8.4360346 × 1015
Coefficient of variation (CV)0.0041970579
Kurtosis8.0312666
Mean2.0099877 × 1018
Median Absolute Deviation (MAD)0
Skewness-2.8930858
Sum-7.4573829 × 1018
Variance7.116668 × 1031
MonotonicityStrictly increasing
2024-04-30T04:47:26.693814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1979321012207500001 1
 
3.0%
2013321012207500013 1
 
3.0%
2013321012207500007 1
 
3.0%
2013321012207500008 1
 
3.0%
2013321012207500009 1
 
3.0%
2013321012207500010 1
 
3.0%
2013321012207500011 1
 
3.0%
2013321012207500012 1
 
3.0%
2013321012207500014 1
 
3.0%
1982321007607500001 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1979321012207500001 1
3.0%
1982321007607500001 1
3.0%
1995321012207500001 1
3.0%
2005321007607500005 1
3.0%
2005321007607500007 1
3.0%
2007321010807500001 1
3.0%
2009321012207500001 1
3.0%
2011321012207500001 1
3.0%
2012321012207500002 1
3.0%
2012321012207500003 1
3.0%
ValueCountFrequency (%)
2016321015507500001 1
3.0%
2015321015507500001 1
3.0%
2014321012207500001 1
3.0%
2013321012207500017 1
3.0%
2013321012207500016 1
3.0%
2013321012207500015 1
3.0%
2013321012207500014 1
3.0%
2013321012207500013 1
3.0%
2013321012207500012 1
3.0%
2013321012207500011 1
3.0%

인허가일자
Date

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1976-12-11 00:00:00
Maximum2016-12-01 00:00:00
2024-04-30T04:47:26.854308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:26.958147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
28 
3
5 

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 28
84.8%
3 5
 
15.2%

Length

2024-04-30T04:47:27.060645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:27.147256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
84.8%
3 5
 
15.2%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
28 
폐업
5 

Length

Max length5
Median length5
Mean length4.5454545
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 28
84.8%
폐업 5
 
15.2%

Length

2024-04-30T04:47:27.238726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:27.329161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
84.8%
폐업 5
 
15.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
28 
3
5 

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 28
84.8%
3 5
 
15.2%

Length

2024-04-30T04:47:27.410681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:27.493411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
84.8%
3 5
 
15.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
정상영업
28 
폐업처리
5 

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 28
84.8%
폐업처리 5
 
15.2%

Length

2024-04-30T04:47:27.583935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:27.679167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 28
84.8%
폐업처리 5
 
15.2%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
28 
20201104
 
1
20190817
 
1
20200924
 
1
20190430
 
1

Length

Max length8
Median length4
Mean length4.6060606
Min length4

Unique

Unique5 ?
Unique (%)15.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
84.8%
20201104 1
 
3.0%
20190817 1
 
3.0%
20200924 1
 
3.0%
20190430 1
 
3.0%
20220325 1
 
3.0%

Length

2024-04-30T04:47:27.775770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:27.887341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
84.8%
20201104 1
 
3.0%
20190817 1
 
3.0%
20200924 1
 
3.0%
20190430 1
 
3.0%
20220325 1
 
3.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:47:28.056390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.424242
Min length8

Characters and Unicode

Total characters344
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

Unique31 ?
Unique (%)93.9%

Sample

1st row3474-7621
2nd row02 5354160
3rd row509-5000
4th row0221551052
5th row02-3479-1005
ValueCountFrequency (%)
530-5802 2
 
5.7%
02-523-0081 1
 
2.9%
02-3486-4924 1
 
2.9%
02-599-1380 1
 
2.9%
02-599-2262 1
 
2.9%
02-593-0244 1
 
2.9%
02-586-0025 1
 
2.9%
02-597-2222 1
 
2.9%
02-3480-4700 1
 
2.9%
3474-7621 1
 
2.9%
Other values (24) 24
68.6%
2024-04-30T04:47:28.364818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
18.0%
- 49
14.2%
2 46
13.4%
5 37
10.8%
4 30
8.7%
3 28
8.1%
8 20
 
5.8%
6 19
 
5.5%
9 18
 
5.2%
1 17
 
4.9%
Other values (2) 18
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 293
85.2%
Dash Punctuation 49
 
14.2%
Space Separator 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
21.2%
2 46
15.7%
5 37
12.6%
4 30
10.2%
3 28
9.6%
8 20
 
6.8%
6 19
 
6.5%
9 18
 
6.1%
1 17
 
5.8%
7 16
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 344
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
18.0%
- 49
14.2%
2 46
13.4%
5 37
10.8%
4 30
8.7%
3 28
8.1%
8 20
 
5.8%
6 19
 
5.5%
9 18
 
5.2%
1 17
 
4.9%
Other values (2) 18
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
18.0%
- 49
14.2%
2 46
13.4%
5 37
10.8%
4 30
8.7%
3 28
8.1%
8 20
 
5.8%
6 19
 
5.5%
9 18
 
5.2%
1 17
 
4.9%
Other values (2) 18
 
5.2%

소재지면적
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9777.4058
Minimum194.64
Maximum60945.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:47:28.487062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum194.64
5-th percentile232.38
Q12008
median3917
Q39564
95-th percentile43410.96
Maximum60945.95
Range60751.31
Interquartile range (IQR)7556

Descriptive statistics

Standard deviation14983.635
Coefficient of variation (CV)1.5324755
Kurtosis5.9458057
Mean9777.4058
Median Absolute Deviation (MAD)2661
Skewness2.5286711
Sum322654.39
Variance2.2450932 × 108
MonotonicityNot monotonic
2024-04-30T04:47:28.588213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2803.0 2
 
6.1%
4516.0 1
 
3.0%
3001.0 1
 
3.0%
1256.0 1
 
3.0%
3080.0 1
 
3.0%
6446.23 1
 
3.0%
9564.0 1
 
3.0%
3138.0 1
 
3.0%
6973.0 1
 
3.0%
1866.0 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
194.64 1
3.0%
206.1 1
3.0%
249.9 1
3.0%
258.3 1
3.0%
1049.58 1
3.0%
1256.0 1
3.0%
1866.0 1
3.0%
1932.0 1
3.0%
2008.0 1
3.0%
2803.0 2
6.1%
ValueCountFrequency (%)
60945.95 1
3.0%
56379.9 1
3.0%
34765.0 1
3.0%
33736.0 1
3.0%
15065.56 1
3.0%
12595.0 1
3.0%
12066.12 1
3.0%
9977.11 1
3.0%
9564.0 1
3.0%
9250.0 1
3.0%

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing25
Missing (%)75.8%
Memory size396.0 B
2024-04-30T04:47:28.747099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.125
Min length6

Characters and Unicode

Total characters49
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

Unique8 ?
Unique (%)100.0%

Sample

1st row137072
2nd row137859
3rd row137-061
4th row137711
5th row137030
ValueCountFrequency (%)
137072 1
12.5%
137859 1
12.5%
137-061 1
12.5%
137711 1
12.5%
137030 1
12.5%
137828 1
12.5%
137041 1
12.5%
137845 1
12.5%
2024-04-30T04:47:28.983485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 12
24.5%
7 10
20.4%
3 9
18.4%
0 5
10.2%
8 4
 
8.2%
2 2
 
4.1%
5 2
 
4.1%
4 2
 
4.1%
9 1
 
2.0%
- 1
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
98.0%
Dash Punctuation 1
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
25.0%
7 10
20.8%
3 9
18.8%
0 5
10.4%
8 4
 
8.3%
2 2
 
4.2%
5 2
 
4.2%
4 2
 
4.2%
9 1
 
2.1%
6 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 12
24.5%
7 10
20.4%
3 9
18.4%
0 5
10.2%
8 4
 
8.2%
2 2
 
4.1%
5 2
 
4.1%
4 2
 
4.1%
9 1
 
2.0%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 12
24.5%
7 10
20.4%
3 9
18.4%
0 5
10.2%
8 4
 
8.2%
2 2
 
4.1%
5 2
 
4.1%
4 2
 
4.1%
9 1
 
2.0%
- 1
 
2.0%

지번주소
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing18
Missing (%)54.5%
Memory size396.0 B
2024-04-30T04:47:29.141307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length24
Min length20

Characters and Unicode

Total characters360
Distinct characters51
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 서초동 1335번지
2nd row서울특별시 서초구 반포동 19번지 4 호
3rd row서울특별시 서초구 양재동 215호 하이브랜드 지하1층
4th row서울특별시 서초구 반포동 19번지 3호
5th row서울특별시 서초구 반포동 1141번지
ValueCountFrequency (%)
서울특별시 15
19.5%
서초구 15
19.5%
5호 3
 
3.9%
1호 3
 
3.9%
잠원동 3
 
3.9%
반포동 3
 
3.9%
19번지 2
 
2.6%
70번지 2
 
2.6%
방배동 2
 
2.6%
3호 2
 
2.6%
Other values (25) 27
35.1%
2024-04-30T04:47:29.435332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
18.1%
서 33
 
9.2%
초 18
 
5.0%
지 17
 
4.7%
1 17
 
4.7%
시 15
 
4.2%
별 15
 
4.2%
구 15
 
4.2%
동 15
 
4.2%
특 15
 
4.2%
Other values (41) 135
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
64.2%
Space Separator 65
 
18.1%
Decimal Number 61
 
16.9%
Open Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 33
14.3%
초 18
 
7.8%
지 17
 
7.4%
시 15
 
6.5%
별 15
 
6.5%
구 15
 
6.5%
동 15
 
6.5%
특 15
 
6.5%
울 15
 
6.5%
번 14
 
6.1%
Other values (27) 59
25.5%
Decimal Number
ValueCountFrequency (%)
1 17
27.9%
5 10
16.4%
3 6
 
9.8%
2 6
 
9.8%
0 5
 
8.2%
7 5
 
8.2%
9 5
 
8.2%
4 3
 
4.9%
8 2
 
3.3%
6 2
 
3.3%
Space Separator
ValueCountFrequency (%)
65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
64.2%
Common 129
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 33
14.3%
초 18
 
7.8%
지 17
 
7.4%
시 15
 
6.5%
별 15
 
6.5%
구 15
 
6.5%
동 15
 
6.5%
특 15
 
6.5%
울 15
 
6.5%
번 14
 
6.1%
Other values (27) 59
25.5%
Common
ValueCountFrequency (%)
65
50.4%
1 17
 
13.2%
5 10
 
7.8%
3 6
 
4.7%
2 6
 
4.7%
0 5
 
3.9%
7 5
 
3.9%
9 5
 
3.9%
4 3
 
2.3%
8 2
 
1.6%
Other values (4) 5
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
64.2%
ASCII 129
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
50.4%
1 17
 
13.2%
5 10
 
7.8%
3 6
 
4.7%
2 6
 
4.7%
0 5
 
3.9%
7 5
 
3.9%
9 5
 
3.9%
4 3
 
2.3%
8 2
 
1.6%
Other values (4) 5
 
3.9%
Hangul
ValueCountFrequency (%)
서 33
14.3%
초 18
 
7.8%
지 17
 
7.4%
시 15
 
6.5%
별 15
 
6.5%
구 15
 
6.5%
동 15
 
6.5%
특 15
 
6.5%
울 15
 
6.5%
번 14
 
6.1%
Other values (27) 59
25.5%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Memory size396.0 B
2024-04-30T04:47:29.629084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length25.15625
Min length15

Characters and Unicode

Total characters805
Distinct characters80
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

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 서초구 효령로 391 (서초동, 무지개아파트)
2nd row서울특별시 서초구 신반포로 194 (반포동)
3rd row서울특별시 서초구 잠원로 69 (잠원동)
4th row서울특별시 서초구 매헌로 16 (양재동,하이브랜드 지하1층)
5th row서울특별시 서초구 신반포로 176 (반포동)
ValueCountFrequency (%)
서울특별시 32
19.5%
서초구 31
18.9%
서초동 9
 
5.5%
반포동 8
 
4.9%
잠원동 6
 
3.7%
방배동 5
 
3.0%
신반포로 4
 
2.4%
29 3
 
1.8%
잠원로 3
 
1.8%
서초대로 2
 
1.2%
Other values (51) 61
37.2%
2024-04-30T04:47:29.952184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
16.4%
서 77
 
9.6%
초 45
 
5.6%
특 32
 
4.0%
별 32
 
4.0%
시 32
 
4.0%
울 32
 
4.0%
로 32
 
4.0%
( 31
 
3.9%
구 31
 
3.9%
Other values (70) 329
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
63.2%
Space Separator 132
 
16.4%
Decimal Number 94
 
11.7%
Open Punctuation 31
 
3.9%
Close Punctuation 31
 
3.9%
Other Punctuation 6
 
0.7%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 77
15.1%
초 45
 
8.8%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
울 32
 
6.3%
로 32
 
6.3%
구 31
 
6.1%
동 31
 
6.1%
포 15
 
2.9%
Other values (55) 150
29.5%
Decimal Number
ValueCountFrequency (%)
1 19
20.2%
3 17
18.1%
2 11
11.7%
9 9
9.6%
5 8
8.5%
6 8
8.5%
8 7
 
7.4%
4 6
 
6.4%
7 5
 
5.3%
0 4
 
4.3%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
63.2%
Common 296
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 77
15.1%
초 45
 
8.8%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
울 32
 
6.3%
로 32
 
6.3%
구 31
 
6.1%
동 31
 
6.1%
포 15
 
2.9%
Other values (55) 150
29.5%
Common
ValueCountFrequency (%)
132
44.6%
( 31
 
10.5%
) 31
 
10.5%
1 19
 
6.4%
3 17
 
5.7%
2 11
 
3.7%
9 9
 
3.0%
5 8
 
2.7%
6 8
 
2.7%
8 7
 
2.4%
Other values (5) 23
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
63.2%
ASCII 296
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
44.6%
( 31
 
10.5%
) 31
 
10.5%
1 19
 
6.4%
3 17
 
5.7%
2 11
 
3.7%
9 9
 
3.0%
5 8
 
2.7%
6 8
 
2.7%
8 7
 
2.4%
Other values (5) 23
 
7.8%
Hangul
ValueCountFrequency (%)
서 77
15.1%
초 45
 
8.8%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
울 32
 
6.3%
로 32
 
6.3%
구 31
 
6.1%
동 31
 
6.1%
포 15
 
2.9%
Other values (55) 150
29.5%

도로명우편번호
Text

MISSING 

Distinct25
Distinct (%)89.3%
Missing5
Missing (%)15.2%
Memory size396.0 B
2024-04-30T04:47:30.108672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters168
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

Unique22 ?
Unique (%)78.6%

Sample

1st row137771
2nd row137-907
3rd row137811
4th row137859
5th row06522
ValueCountFrequency (%)
137870 2
 
7.1%
137907 2
 
7.1%
137040 2
 
7.1%
137771 1
 
3.6%
137802 1
 
3.6%
137845 1
 
3.6%
137893 1
 
3.6%
137863 1
 
3.6%
137924 1
 
3.6%
137875 1
 
3.6%
Other values (15) 15
53.6%
2024-04-30T04:47:30.383411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 37
22.0%
1 33
19.6%
3 30
17.9%
8 21
12.5%
0 17
10.1%
9 8
 
4.8%
2 7
 
4.2%
5 5
 
3.0%
4 4
 
2.4%
6 4
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 166
98.8%
Dash Punctuation 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 37
22.3%
1 33
19.9%
3 30
18.1%
8 21
12.7%
0 17
10.2%
9 8
 
4.8%
2 7
 
4.2%
5 5
 
3.0%
4 4
 
2.4%
6 4
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 37
22.0%
1 33
19.6%
3 30
17.9%
8 21
12.5%
0 17
10.1%
9 8
 
4.8%
2 7
 
4.2%
5 5
 
3.0%
4 4
 
2.4%
6 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 37
22.0%
1 33
19.6%
3 30
17.9%
8 21
12.5%
0 17
10.1%
9 8
 
4.8%
2 7
 
4.2%
5 5
 
3.0%
4 4
 
2.4%
6 4
 
2.4%

사업장명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:47:30.574085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.0606061
Min length3

Characters and Unicode

Total characters266
Distinct characters97
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row무지개종합상가
2nd row터미널상가
3rd row(주)이랜드킴스클럽 강남점
4th row(주)이마트 양재점
5th row신세계백화점 강남점
ValueCountFrequency (%)
반포프라자 2
 
4.3%
강남점 2
 
4.3%
방배점 2
 
4.3%
하이브랜드 1
 
2.2%
방배종합시장 1
 
2.2%
이수시장 1
 
2.2%
신반포종합시장 1
 
2.2%
신사쇼핑 1
 
2.2%
대림서초리시온 1
 
2.2%
아크로비스타 1
 
2.2%
Other values (33) 33
71.7%
2024-04-30T04:47:30.866148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
4.9%
스 11
 
4.1%
점 11
 
4.1%
아 9
 
3.4%
합 6
 
2.3%
이 6
 
2.3%
주 6
 
2.3%
( 6
 
2.3%
가 6
 
2.3%
) 6
 
2.3%
Other values (87) 186
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
90.2%
Space Separator 13
 
4.9%
Open Punctuation 6
 
2.3%
Close Punctuation 6
 
2.3%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 11
 
4.6%
점 11
 
4.6%
아 9
 
3.8%
합 6
 
2.5%
이 6
 
2.5%
주 6
 
2.5%
가 6
 
2.5%
종 6
 
2.5%
상 6
 
2.5%
방 5
 
2.1%
Other values (83) 168
70.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
90.2%
Common 26
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 11
 
4.6%
점 11
 
4.6%
아 9
 
3.8%
합 6
 
2.5%
이 6
 
2.5%
주 6
 
2.5%
가 6
 
2.5%
종 6
 
2.5%
상 6
 
2.5%
방 5
 
2.1%
Other values (83) 168
70.0%
Common
ValueCountFrequency (%)
13
50.0%
( 6
23.1%
) 6
23.1%
2 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
90.2%
ASCII 26
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
50.0%
( 6
23.1%
) 6
23.1%
2 1
 
3.8%
Hangul
ValueCountFrequency (%)
스 11
 
4.6%
점 11
 
4.6%
아 9
 
3.8%
합 6
 
2.5%
이 6
 
2.5%
주 6
 
2.5%
가 6
 
2.5%
종 6
 
2.5%
상 6
 
2.5%
방 5
 
2.1%
Other values (83) 168
70.0%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2013-03-15 18:24:21
Maximum2024-04-23 11:09:28
2024-04-30T04:47:30.982822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:47:31.105541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
20 
U
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
60.6%
U 13
39.4%

Length

2024-04-30T04:47:31.233131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:31.307290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
60.6%
u 13
39.4%

데이터갱신일자
Categorical

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
2018-08-31 23:59:59.0
20 
2021-10-31 22:05:00.0
 
2
2023-12-03 22:05:00.0
 
1
2023-12-03 23:09:00.0
 
1
2021-12-03 22:07:00.0
 
1
Other values (8)
8 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)33.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2023-12-03 22:05:00.0
4th row2023-12-03 23:09:00.0
5th row2021-12-03 22:07:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 20
60.6%
2021-10-31 22:05:00.0 2
 
6.1%
2023-12-03 22:05:00.0 1
 
3.0%
2023-12-03 23:09:00.0 1
 
3.0%
2021-12-03 22:07:00.0 1
 
3.0%
2020-11-08 02:40:00.0 1
 
3.0%
2022-12-02 23:05:00.0 1
 
3.0%
2019-08-24 02:40:00.0 1
 
3.0%
2020-09-26 02:40:00.0 1
 
3.0%
2020-09-11 02:40:00.0 1
 
3.0%
Other values (3) 3
 
9.1%

Length

2024-04-30T04:47:31.387981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 20
30.3%
23:59:59.0 20
30.3%
02:40:00.0 5
 
7.6%
22:05:00.0 3
 
4.5%
2021-10-31 2
 
3.0%
2023-12-03 2
 
3.0%
2020-09-26 1
 
1.5%
2021-12-02 1
 
1.5%
00:04:00.0 1
 
1.5%
2021-12-05 1
 
1.5%
Other values (10) 10
15.2%

업태구분명
Categorical

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
그 밖의 대규모점포
19 
대형마트
6 
전문점
4 
백화점
2 
복합쇼핑몰
2 

Length

Max length10
Median length10
Mean length7.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
그 밖의 대규모점포 19
57.6%
대형마트 6
 
18.2%
전문점 4
 
12.1%
백화점 2
 
6.1%
복합쇼핑몰 2
 
6.1%

Length

2024-04-30T04:47:31.502860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:31.600310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그 19
26.8%
밖의 19
26.8%
대규모점포 19
26.8%
대형마트 6
 
8.5%
전문점 4
 
5.6%
백화점 2
 
2.8%
복합쇼핑몰 2
 
2.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)90.6%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean200688.42
Minimum198492.8
Maximum203204.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:47:31.702911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198492.8
5-th percentile198687.34
Q1198984.36
median200800.55
Q3201732.15
95-th percentile203160.27
Maximum203204.76
Range4711.9584
Interquartile range (IQR)2747.7865

Descriptive statistics

Standard deviation1471.5142
Coefficient of variation (CV)0.0073323324
Kurtosis-1.1099924
Mean200688.42
Median Absolute Deviation (MAD)1305.0808
Skewness0.0009489813
Sum6422029.5
Variance2165354.1
MonotonicityNot monotonic
2024-04-30T04:47:31.979470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
203204.755637424 2
 
6.1%
198984.364832071 2
 
6.1%
198776.113460442 2
 
6.1%
202245.377899369 1
 
3.0%
201472.668856726 1
 
3.0%
198970.448010517 1
 
3.0%
200438.992861987 1
 
3.0%
198709.207041029 1
 
3.0%
203123.870437513 1
 
3.0%
202058.674687128 1
 
3.0%
Other values (19) 19
57.6%
ValueCountFrequency (%)
198492.797210723 1
3.0%
198660.616347373 1
3.0%
198709.207041029 1
3.0%
198776.113460442 2
6.1%
198791.788015494 1
3.0%
198970.448010517 1
3.0%
198984.364832071 2
6.1%
199448.513021585 1
3.0%
200250.447804795 1
3.0%
200367.985010323 1
3.0%
ValueCountFrequency (%)
203204.755637424 2
6.1%
203123.870437513 1
3.0%
202250.14517858 1
3.0%
202245.377899369 1
3.0%
202216.049985624 1
3.0%
202058.674687128 1
3.0%
201952.309841677 1
3.0%
201658.76521908 1
3.0%
201501.672660443 1
3.0%
201472.668856726 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)90.6%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean443710.82
Minimum439984.85
Maximum445992.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:47:32.083746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439984.85
5-th percentile440136.78
Q1443138.99
median443951.76
Q3444712.55
95-th percentile445409.51
Maximum445992.46
Range6007.6118
Interquartile range (IQR)1573.566

Descriptive statistics

Standard deviation1514.6206
Coefficient of variation (CV)0.0034135309
Kurtosis1.1190611
Mean443710.82
Median Absolute Deviation (MAD)817.57491
Skewness-1.1060475
Sum14198746
Variance2294075.6
MonotonicityNot monotonic
2024-04-30T04:47:32.183485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
440136.781183797 2
 
6.1%
443229.835878514 2
 
6.1%
444432.325191038 2
 
6.1%
442987.986999742 1
 
3.0%
444193.267014675 1
 
3.0%
443479.894856733 1
 
3.0%
443124.594422616 1
 
3.0%
442599.234175666 1
 
3.0%
439984.847528537 1
 
3.0%
444618.16731522 1
 
3.0%
Other values (19) 19
57.6%
ValueCountFrequency (%)
439984.847528537 1
3.0%
440136.781183797 2
6.1%
442199.268340209 1
3.0%
442505.573142545 1
3.0%
442599.234175666 1
3.0%
442987.986999742 1
3.0%
443124.594422616 1
3.0%
443143.784571728 1
3.0%
443229.835878514 2
6.1%
443352.024569293 1
3.0%
ValueCountFrequency (%)
445992.459343379 1
3.0%
445492.334204608 1
3.0%
445341.749545748 1
3.0%
445335.667245506 1
3.0%
445241.8984183 1
3.0%
445207.663497148 1
3.0%
444811.364826199 1
3.0%
444800.550772527 1
3.0%
444683.220506107 1
3.0%
444618.16731522 1
3.0%

점포구분명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
대규모점포
22 
<NA>
8 
준대규모점포
3 

Length

Max length6
Median length5
Mean length4.8484848
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대규모점포 22
66.7%
<NA> 8
 
24.2%
준대규모점포 3
 
9.1%

Length

2024-04-30T04:47:32.324065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:47:32.420014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대규모점포 22
66.7%
na 8
 
24.2%
준대규모점포 3
 
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
03210000197932101220750000119790216<NA>1영업/정상1정상영업<NA><NA><NA><NA>3474-76214516.0137072서울특별시 서초구 서초동 1335번지서울특별시 서초구 효령로 391 (서초동, 무지개아파트)137771무지개종합상가2016-04-05 17:37:47I2018-08-31 23:59:59.0그 밖의 대규모점포202245.377899442987.987대규모점포
13210000198232100760750000119820408<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 535416056379.9<NA>서울특별시 서초구 반포동 19번지 4 호서울특별시 서초구 신반포로 194 (반포동)<NA>터미널상가2017-04-24 20:53:39I2018-08-31 23:59:59.0그 밖의 대규모점포200554.743958444811.364826대규모점포
2321000019953210122075000011995-06-01<NA>1영업/정상1정상영업<NA><NA><NA><NA>509-50003752.0<NA><NA>서울특별시 서초구 잠원로 69 (잠원동)137-907(주)이랜드킴스클럽 강남점2024-04-23 11:09:28U2023-12-03 22:05:00.0대형마트200538.827496445335.667246<NA>
3321000020053210076075000052005-03-30<NA>1영업/정상1정상영업<NA><NA><NA><NA>02215510529250.0<NA>서울특별시 서초구 양재동 215호 하이브랜드 지하1층서울특별시 서초구 매헌로 16 (양재동,하이브랜드 지하1층)<NA>(주)이마트 양재점2024-04-17 14:50:48U2023-12-03 23:09:00.0대형마트203204.755637440136.781184<NA>
43210000200532100760750000720150922<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3479-100560945.95<NA>서울특별시 서초구 반포동 19번지 3호서울특별시 서초구 신반포로 176 (반포동)<NA>신세계백화점 강남점2022-04-25 17:07:52U2021-12-03 22:07:00.0백화점200250.447805444683.220506<NA>
53210000200732101080750000120070720<NA>1영업/정상1정상영업<NA><NA><NA><NA>3477-76374950.0<NA>서울특별시 서초구 반포동 1141번지서울특별시 서초구 신반포로 23 (반포동)137811엘루체2013-03-16 15:26:02I2018-08-31 23:59:59.0그 밖의 대규모점포198791.788015444392.672549대규모점포
63210000200932101220750000119800802<NA>1영업/정상1정상영업<NA><NA><NA><NA>3472-54905408.0137859서울특별시 서초구 서초2동 1332번지 2호서울특별시 서초구 사임당로 151 (서초동)137859무지개쇼핑2013-03-18 23:38:28I2018-08-31 23:59:59.0그 밖의 대규모점포202216.049986443352.024569대규모점포
73210000201132101220750000120110802<NA>3폐업3폐업처리20201104<NA><NA><NA>537-89483917.0<NA>서울특별시 서초구 잠원동 60번지 3호서울특별시 서초구 잠원로4길 54 (잠원동, 매일종합상가)06522매일종합상가2020-11-06 09:33:52U2020-11-08 02:40:00.0그 밖의 대규모점포201024.481365445492.334205대규모점포
8321000020123210122075000022012-04-24<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-536-00041049.58137-061서울특별시 서초구 방배1동 816번지 1호서울특별시 방배로33길 29137-832롯데슈퍼 방배2점2023-03-13 17:40:32U2022-12-02 23:05:00.0대형마트198984.364832443229.835879<NA>
93210000201232101220750000320120514<NA>1영업/정상1정상영업<NA><NA><NA><NA>530-580212595.0137711서울특별시 서초구 잠원동 70번지 5호 뉴코아백화점빌딩서울특별시 서초구 잠원로 37-6 (잠원동, 뉴코아백화점빌딩)137711뉴코아백화점2022-11-23 11:25:18U2021-10-31 22:05:00.0백화점200367.98501445207.663497<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
233210000201332101220750001119820531<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-593-02443138.0<NA><NA>서울특별시 서초구 나루터로 37 (잠원동)137907신사쇼핑2020-09-09 14:57:03U2020-09-11 02:40:00.0그 밖의 대규모점포201230.693449445992.459343대규모점포
243210000201332101220750001219781114<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-586-00253001.0<NA><NA>서울특별시 서초구 서초중앙로22길 25 (서초동)137880대림서초리시온2013-03-16 16:38:21I2018-08-31 23:59:59.0그 밖의 대규모점포201295.700038443474.524865대규모점포
253210000201332101220750001320050225<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-597-22226973.0<NA><NA>서울특별시 서초구 서초중앙로 188 (서초동)137875아크로비스타 아케이드2013-03-16 17:04:36I2018-08-31 23:59:59.0그 밖의 대규모점포201107.634737443999.067093대규모점포
263210000201332101220750001420050228<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-523-008134765.0<NA><NA>서울특별시 서초구 매헌로 16 (양재동)137924하이브랜드2013-03-16 17:17:23I2018-08-31 23:59:59.0그 밖의 대규모점포203204.755637440136.781184대규모점포
273210000201332101220750001520030501<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3480-47005546.0<NA><NA>서울특별시 서초구 강남대로 465 (서초동)137863교보타워 지하아케이드2013-03-16 17:35:20I2018-08-31 23:59:59.0전문점202058.674687444618.167315대규모점포
283210000201332101220750001620001209<NA>1영업/정상1정상영업<NA><NA><NA><NA>1899 99009977.11<NA><NA>서울특별시 서초구 양재대로 159 (양재동)137893코스트코코리아2015-12-09 17:24:01I2018-08-31 23:59:59.0대형마트203123.870438439984.847529대규모점포
293210000201332101220750001719971029<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-594-84662803.0<NA><NA>서울특별시 서초구 신반포로3길 8 (반포동)137040반포프라자2013-03-18 11:04:22I2018-08-31 23:59:59.0그 밖의 대규모점포198776.11346444432.325191대규모점포
303210000201432101220750000120140929<NA>3폐업3폐업처리20190430<NA><NA><NA>02-584-8545206.1137845서울특별시 서초구 방배동 950번지 1호서울특별시 서초구 서초대로 34 (방배동)137845홈플러스익스프레스 방배점2019-05-28 09:38:04U2019-05-30 02:40:00.0복합쇼핑몰198709.207041442599.234176준대규모점포
313210000201532101550750000120150203<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-2145-800012066.12<NA>서울특별시 서초구 서초동 1498번지 5호 (영업장 지하1층,지하2층)<NA><NA>롯데쇼핑(주) 롯데마트 서초점2022-05-02 16:30:13U2021-12-05 00:04:00.0대형마트200438.992862443124.594423<NA>
323210000201632101550750000120161201<NA>3폐업3폐업처리20220325<NA><NA><NA>02-2006-3215194.64<NA>서울특별시 서초구 방배동 795번지 1호서울특별시 서초구 방배로37길 11, 1층 (방배동, 삼호회관)06561(주)지에스리테일 서초방배점2022-03-28 13:52:53U2021-12-02 21:00:00.0대형마트198970.448011443479.894857<NA>