Overview

Dataset statistics

Number of variables26
Number of observations33
Missing cells188
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory223.0 B

Variable types

Categorical9
Numeric5
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18706/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 has constant value ""Constant
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 27 (81.8%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 32 (97.0%) missing valuesMissing
소재지우편번호 has 22 (66.7%) missing valuesMissing
도로명주소 has 2 (6.1%) missing valuesMissing
도로명우편번호 has 2 (6.1%) missing valuesMissing
좌표정보(X) has 2 (6.1%) missing valuesMissing
좌표정보(Y) has 2 (6.1%) missing valuesMissing
관리번호 has unique valuesUnique
소재지면적 has unique valuesUnique
사업장명 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

Reproduction

Analysis started2024-05-11 05:23:03.742643
Analysis finished2024-05-11 05:23:04.178493
Duration0.44 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
3040000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 33
100.0%

Length

2024-05-11T14:23:04.272775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:04.496109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0072434 × 1018
Minimum2.001304 × 1018
Maximum2.024304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:23:04.669223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001304 × 1018
5-th percentile2.001304 × 1018
Q12.001304 × 1018
median2.006304 × 1018
Q32.011304 × 1018
95-th percentile2.021704 × 1018
Maximum2.024304 × 1018
Range2.3000012 × 1016
Interquartile range (IQR)1.0000008 × 1016

Descriptive statistics

Standard deviation6.923422 × 1015
Coefficient of variation (CV)0.0034492189
Kurtosis0.033859837
Mean2.0072434 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.92089318
Sum-7.5479439 × 1018
Variance4.7933772 × 1031
MonotonicityStrictly increasing
2024-05-11T14:23:04.864876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2001304007307500001 1
 
3.0%
2012304015507500001 1
 
3.0%
2008304010307500002 1
 
3.0%
2011304015507500001 1
 
3.0%
2011304015507500002 1
 
3.0%
2011304015507500003 1
 
3.0%
2011304015507500004 1
 
3.0%
2011304015507500005 1
 
3.0%
2012304015507500002 1
 
3.0%
2001304007307500002 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
2001304007307500001 1
3.0%
2001304007307500002 1
3.0%
2001304007307500003 1
3.0%
2001304007307500004 1
3.0%
2001304007307500005 1
3.0%
2001304007307500006 1
3.0%
2001304007307500007 1
3.0%
2001304007307500008 1
3.0%
2001304007307500009 1
3.0%
2001304007307500010 1
3.0%
ValueCountFrequency (%)
2024304019007500001 1
3.0%
2022304019007500001 1
3.0%
2021304019007500001 1
3.0%
2015304016807500001 1
3.0%
2012304015507500004 1
3.0%
2012304015507500003 1
3.0%
2012304015507500002 1
3.0%
2012304015507500001 1
3.0%
2011304015507500005 1
3.0%
2011304015507500004 1
3.0%

인허가일자
Date

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1970-12-23 00:00:00
Maximum2024-01-05 00:00:00
2024-05-11T14:23:05.056319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:05.236108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

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
27 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
81.8%
3 6
 
18.2%

Length

2024-05-11T14:23:05.434458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:05.567205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
81.8%
3 6
 
18.2%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
27 
폐업
6 

Length

Max length5
Median length5
Mean length4.4545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 27
81.8%
폐업 6
 
18.2%

Length

2024-05-11T14:23:05.722176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:05.881907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 27
81.8%
폐업 6
 
18.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
26 
3
6 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
78.8%
3 6
 
18.2%
5 1
 
3.0%

Length

2024-05-11T14:23:06.020024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:06.194270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
78.8%
3 6
 
18.2%
5 1
 
3.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
정상영업
26 
폐업처리
6 
영업개시전
 
1

Length

Max length5
Median length4
Mean length4.030303
Min length4

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 26
78.8%
폐업처리 6
 
18.2%
영업개시전 1
 
3.0%

Length

2024-05-11T14:23:06.356335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:06.506316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 26
78.8%
폐업처리 6
 
18.2%
영업개시전 1
 
3.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing27
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean20160491
Minimum20060123
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:23:06.648559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060123
5-th percentile20072900
Q120128502
median20190374
Q320200647
95-th percentile20207775
Maximum20210127
Range150004
Interquartile range (IQR)72145.25

Descriptive statistics

Standard deviation60943.872
Coefficient of variation (CV)0.0030229359
Kurtosis-0.22385676
Mean20160491
Median Absolute Deviation (MAD)15048.5
Skewness-1.1553657
Sum1.2096295 × 108
Variance3.7141556 × 109
MonotonicityNot monotonic
2024-05-11T14:23:06.806069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20210127 1
 
3.0%
20060123 1
 
3.0%
20111229 1
 
3.0%
20200430 1
 
3.0%
20200719 1
 
3.0%
20180319 1
 
3.0%
(Missing) 27
81.8%
ValueCountFrequency (%)
20060123 1
3.0%
20111229 1
3.0%
20180319 1
3.0%
20200430 1
3.0%
20200719 1
3.0%
20210127 1
3.0%
ValueCountFrequency (%)
20210127 1
3.0%
20200719 1
3.0%
20200430 1
3.0%
20180319 1
3.0%
20111229 1
3.0%
20060123 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
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size396.0 B
Minimum2004-04-30 00:00:00
Maximum2004-04-30 00:00:00
2024-05-11T14:23:06.965281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:07.112338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

전화번호
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T14:23:07.380271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.090909
Min length9

Characters and Unicode

Total characters366
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 row02-463-7521
2nd row02-463-5611
3rd row02-467-0254
4th row02-457-8045
5th row02-466-6767
ValueCountFrequency (%)
02 3
 
8.1%
02-466-6767 2
 
5.4%
02-3437-5602 1
 
2.7%
000204535605 1
 
2.7%
02-463-1903 1
 
2.7%
02-469-1333 1
 
2.7%
02-3437-8546 1
 
2.7%
02-2201-8547 1
 
2.7%
024478545 1
 
2.7%
000204525601 1
 
2.7%
Other values (24) 24
64.9%
2024-05-11T14:23:07.898377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65
17.8%
2 57
15.6%
4 50
13.7%
- 48
13.1%
5 33
9.0%
6 28
7.7%
3 26
 
7.1%
7 24
 
6.6%
8 14
 
3.8%
1 12
 
3.3%
Other values (2) 9
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 314
85.8%
Dash Punctuation 48
 
13.1%
Space Separator 4
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
20.7%
2 57
18.2%
4 50
15.9%
5 33
10.5%
6 28
8.9%
3 26
 
8.3%
7 24
 
7.6%
8 14
 
4.5%
1 12
 
3.8%
9 5
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65
17.8%
2 57
15.6%
4 50
13.7%
- 48
13.1%
5 33
9.0%
6 28
7.7%
3 26
 
7.1%
7 24
 
6.6%
8 14
 
3.8%
1 12
 
3.3%
Other values (2) 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65
17.8%
2 57
15.6%
4 50
13.7%
- 48
13.1%
5 33
9.0%
6 28
7.7%
3 26
 
7.1%
7 24
 
6.6%
8 14
 
3.8%
1 12
 
3.3%
Other values (2) 9
 
2.5%

소재지면적
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5668.4321
Minimum132.23
Maximum49840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:23:08.093850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132.23
5-th percentile170.18
Q1662.55
median2456.45
Q34037.2
95-th percentile29377.438
Maximum49840
Range49707.77
Interquartile range (IQR)3374.65

Descriptive statistics

Standard deviation10667.648
Coefficient of variation (CV)1.8819399
Kurtosis10.241383
Mean5668.4321
Median Absolute Deviation (MAD)1665.55
Skewness3.1820481
Sum187058.26
Variance1.1379872 × 108
MonotonicityNot monotonic
2024-05-11T14:23:08.248664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1524.1 1
 
3.0%
274.4 1
 
3.0%
3741.82 1
 
3.0%
133.4 1
 
3.0%
662.55 1
 
3.0%
1162.0 1
 
3.0%
235.8 1
 
3.0%
194.7 1
 
3.0%
132.23 1
 
3.0%
6426.48 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
132.23 1
3.0%
133.4 1
3.0%
194.7 1
3.0%
203.28 1
3.0%
232.07 1
3.0%
235.8 1
3.0%
274.4 1
3.0%
658.8 1
3.0%
662.55 1
3.0%
1137.92 1
3.0%
ValueCountFrequency (%)
49840.0 1
3.0%
34138.84 1
3.0%
26203.17 1
3.0%
11320.4 1
3.0%
6426.48 1
3.0%
5880.92 1
3.0%
4422.0 1
3.0%
4122.0 1
3.0%
4037.2 1
3.0%
3995.19 1
3.0%

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing22
Missing (%)66.7%
Memory size396.0 B
2024-05-11T14:23:08.459020image/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

Unique9 ?
Unique (%)81.8%

Sample

1st row143003
2nd row143150
3rd row143885
4th row143-903
5th row143914
ValueCountFrequency (%)
143822 2
18.2%
143003 1
9.1%
143150 1
9.1%
143885 1
9.1%
143-903 1
9.1%
143914 1
9.1%
143888 1
9.1%
143824 1
9.1%
143-898 1
9.1%
143-817 1
9.1%
2024-05-11T14:23:08.819559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 14
20.3%
4 13
18.8%
3 13
18.8%
8 11
15.9%
2 5
 
7.2%
0 4
 
5.8%
- 3
 
4.3%
9 3
 
4.3%
5 2
 
2.9%
7 1
 
1.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
21.2%
4 13
19.7%
3 13
19.7%
8 11
16.7%
2 5
 
7.6%
0 4
 
6.1%
9 3
 
4.5%
5 2
 
3.0%
7 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14
20.3%
4 13
18.8%
3 13
18.8%
8 11
15.9%
2 5
 
7.2%
0 4
 
5.8%
- 3
 
4.3%
9 3
 
4.3%
5 2
 
2.9%
7 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 14
20.3%
4 13
18.8%
3 13
18.8%
8 11
15.9%
2 5
 
7.2%
0 4
 
5.8%
- 3
 
4.3%
9 3
 
4.3%
5 2
 
2.9%
7 1
 
1.4%

지번주소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T14:23:09.106282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length22.333333
Min length18

Characters and Unicode

Total characters737
Distinct characters43
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

Unique29 ?
Unique (%)87.9%

Sample

1st row서울특별시 광진구 자양동 44번지 2호
2nd row서울특별시 광진구 자양동 6번지 20호
3rd row서울특별시 광진구 중곡동 229번지 5호
4th row서울특별시 광진구 구의동 66번지 28호
5th row서울특별시 광진구 군자동 361번지 6호
ValueCountFrequency (%)
서울특별시 33
20.1%
광진구 33
20.1%
자양동 8
 
4.9%
구의동 8
 
4.9%
1호 7
 
4.3%
229번지 3
 
1.8%
중곡동 3
 
1.8%
2호 3
 
1.8%
4호 3
 
1.8%
546번지 3
 
1.8%
Other values (52) 60
36.6%
2024-05-11T14:23:09.609476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
17.9%
구 45
 
6.1%
광 36
 
4.9%
시 34
 
4.6%
진 34
 
4.6%
동 34
 
4.6%
서 33
 
4.5%
특 33
 
4.5%
별 33
 
4.5%
울 33
 
4.5%
Other values (33) 290
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
62.8%
Decimal Number 139
 
18.9%
Space Separator 132
 
17.9%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 45
 
9.7%
광 36
 
7.8%
시 34
 
7.3%
진 34
 
7.3%
동 34
 
7.3%
서 33
 
7.1%
특 33
 
7.1%
별 33
 
7.1%
울 33
 
7.1%
호 29
 
6.3%
Other values (21) 119
25.7%
Decimal Number
ValueCountFrequency (%)
2 28
20.1%
1 25
18.0%
6 20
14.4%
4 16
11.5%
3 15
10.8%
5 12
8.6%
0 6
 
4.3%
7 6
 
4.3%
9 6
 
4.3%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 463
62.8%
Common 274
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 45
 
9.7%
광 36
 
7.8%
시 34
 
7.3%
진 34
 
7.3%
동 34
 
7.3%
서 33
 
7.1%
특 33
 
7.1%
별 33
 
7.1%
울 33
 
7.1%
호 29
 
6.3%
Other values (21) 119
25.7%
Common
ValueCountFrequency (%)
132
48.2%
2 28
 
10.2%
1 25
 
9.1%
6 20
 
7.3%
4 16
 
5.8%
3 15
 
5.5%
5 12
 
4.4%
0 6
 
2.2%
7 6
 
2.2%
9 6
 
2.2%
Other values (2) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
62.8%
ASCII 274
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
48.2%
2 28
 
10.2%
1 25
 
9.1%
6 20
 
7.3%
4 16
 
5.8%
3 15
 
5.5%
5 12
 
4.4%
0 6
 
2.2%
7 6
 
2.2%
9 6
 
2.2%
Other values (2) 8
 
2.9%
Hangul
ValueCountFrequency (%)
구 45
 
9.7%
광 36
 
7.8%
시 34
 
7.3%
진 34
 
7.3%
동 34
 
7.3%
서 33
 
7.1%
특 33
 
7.1%
별 33
 
7.1%
울 33
 
7.1%
호 29
 
6.3%
Other values (21) 119
25.7%

도로명주소
Text

MISSING 

Distinct28
Distinct (%)90.3%
Missing2
Missing (%)6.1%
Memory size396.0 B
2024-05-11T14:23:09.891886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length24.935484
Min length22

Characters and Unicode

Total characters773
Distinct characters57
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

Unique25 ?
Unique (%)80.6%

Sample

1st row서울특별시 광진구 뚝섬로 491 (자양동)
2nd row서울특별시 광진구 아차산로30길 39 (자양동)
3rd row서울특별시 광진구 긴고랑로11길 11 (중곡동)
4th row서울특별시 광진구 광나루로 531-5 (구의동)
5th row서울특별시 광진구 영화사로 12 (중곡동)
ValueCountFrequency (%)
서울특별시 31
19.6%
광진구 31
19.6%
구의동 12
 
7.6%
중곡동 7
 
4.4%
자양동 7
 
4.4%
아차산로 5
 
3.2%
광나루로56길 4
 
2.5%
광나루로 3
 
1.9%
자양로 3
 
1.9%
39 3
 
1.9%
Other values (42) 52
32.9%
2024-05-11T14:23:10.360353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
16.4%
구 43
 
5.6%
광 42
 
5.4%
동 36
 
4.7%
진 32
 
4.1%
서 31
 
4.0%
( 31
 
4.0%
특 31
 
4.0%
별 31
 
4.0%
시 31
 
4.0%
Other values (47) 338
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
61.4%
Space Separator 127
 
16.4%
Decimal Number 106
 
13.7%
Open Punctuation 31
 
4.0%
Close Punctuation 31
 
4.0%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 43
 
9.1%
광 42
 
8.8%
동 36
 
7.6%
진 32
 
6.7%
서 31
 
6.5%
특 31
 
6.5%
별 31
 
6.5%
시 31
 
6.5%
울 31
 
6.5%
로 31
 
6.5%
Other values (32) 136
28.6%
Decimal Number
ValueCountFrequency (%)
3 20
18.9%
1 20
18.9%
6 13
12.3%
5 13
12.3%
0 10
9.4%
2 9
8.5%
9 8
 
7.5%
4 6
 
5.7%
8 4
 
3.8%
7 3
 
2.8%
Space Separator
ValueCountFrequency (%)
127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
61.4%
Common 298
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 43
 
9.1%
광 42
 
8.8%
동 36
 
7.6%
진 32
 
6.7%
서 31
 
6.5%
특 31
 
6.5%
별 31
 
6.5%
시 31
 
6.5%
울 31
 
6.5%
로 31
 
6.5%
Other values (32) 136
28.6%
Common
ValueCountFrequency (%)
127
42.6%
( 31
 
10.4%
) 31
 
10.4%
3 20
 
6.7%
1 20
 
6.7%
6 13
 
4.4%
5 13
 
4.4%
0 10
 
3.4%
2 9
 
3.0%
9 8
 
2.7%
Other values (5) 16
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
61.4%
ASCII 298
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
42.6%
( 31
 
10.4%
) 31
 
10.4%
3 20
 
6.7%
1 20
 
6.7%
6 13
 
4.4%
5 13
 
4.4%
0 10
 
3.4%
2 9
 
3.0%
9 8
 
2.7%
Other values (5) 16
 
5.4%
Hangul
ValueCountFrequency (%)
구 43
 
9.1%
광 42
 
8.8%
동 36
 
7.6%
진 32
 
6.7%
서 31
 
6.5%
특 31
 
6.5%
별 31
 
6.5%
시 31
 
6.5%
울 31
 
6.5%
로 31
 
6.5%
Other values (32) 136
28.6%

도로명우편번호
Text

MISSING 

Distinct28
Distinct (%)90.3%
Missing2
Missing (%)6.1%
Memory size396.0 B
2024-05-11T14:23:10.603649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0967742
Min length5

Characters and Unicode

Total characters189
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

Unique25 ?
Unique (%)80.6%

Sample

1st row143843
2nd row143841
3rd row143903
4th row143819
5th row143888
ValueCountFrequency (%)
143903 2
 
6.5%
143822 2
 
6.5%
143888 2
 
6.5%
143840 1
 
3.2%
143843 1
 
3.2%
143-758 1
 
3.2%
04977 1
 
3.2%
05071 1
 
3.2%
143-817 1
 
3.2%
143-898 1
 
3.2%
Other values (18) 18
58.1%
2024-05-11T14:23:11.017301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 39
20.6%
4 37
19.6%
3 35
18.5%
8 25
13.2%
7 11
 
5.8%
0 9
 
4.8%
2 9
 
4.8%
9 8
 
4.2%
5 8
 
4.2%
- 6
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
96.8%
Dash Punctuation 6
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 39
21.3%
4 37
20.2%
3 35
19.1%
8 25
13.7%
7 11
 
6.0%
0 9
 
4.9%
2 9
 
4.9%
9 8
 
4.4%
5 8
 
4.4%
6 2
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 189
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 39
20.6%
4 37
19.6%
3 35
18.5%
8 25
13.2%
7 11
 
5.8%
0 9
 
4.8%
2 9
 
4.8%
9 8
 
4.2%
5 8
 
4.2%
- 6
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 39
20.6%
4 37
19.6%
3 35
18.5%
8 25
13.2%
7 11
 
5.8%
0 9
 
4.8%
2 9
 
4.8%
9 8
 
4.2%
5 8
 
4.2%
- 6
 
3.2%

사업장명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T14:23:11.319700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length10.212121
Min length4

Characters and Unicode

Total characters337
Distinct characters107
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row노룬산시장
2nd row조양시장
3rd row중곡제일시장
4th row구의시장
5th row화양시장
ValueCountFrequency (%)
롯데쇼핑(주)롯데슈퍼 2
 
3.6%
판매시설 2
 
3.6%
홈플러스익스프레스 2
 
3.6%
홈플러스(주)익스프레스 2
 
3.6%
구의점 2
 
3.6%
fresh 2
 
3.6%
중곡점 2
 
3.6%
gs 1
 
1.8%
자양1재정비촉진구역 1
 
1.8%
주)이마트에브리데이 1
 
1.8%
Other values (38) 38
69.1%
2024-05-11T14:23:11.811660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
6.5%
스 15
 
4.5%
점 14
 
4.2%
시 13
 
3.9%
장 9
 
2.7%
데 9
 
2.7%
주 8
 
2.4%
구 8
 
2.4%
( 8
 
2.4%
) 8
 
2.4%
Other values (97) 223
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
81.9%
Space Separator 22
 
6.5%
Uppercase Letter 17
 
5.0%
Open Punctuation 8
 
2.4%
Close Punctuation 8
 
2.4%
Decimal Number 5
 
1.5%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 15
 
5.4%
점 14
 
5.1%
시 13
 
4.7%
장 9
 
3.3%
데 9
 
3.3%
주 8
 
2.9%
구 8
 
2.9%
롯 8
 
2.9%
프 7
 
2.5%
의 7
 
2.5%
Other values (84) 178
64.5%
Uppercase Letter
ValueCountFrequency (%)
S 4
23.5%
H 3
17.6%
E 3
17.6%
R 2
11.8%
F 2
11.8%
G 2
11.8%
T 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
81.9%
Common 44
 
13.1%
Latin 17
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 15
 
5.4%
점 14
 
5.1%
시 13
 
4.7%
장 9
 
3.3%
데 9
 
3.3%
주 8
 
2.9%
구 8
 
2.9%
롯 8
 
2.9%
프 7
 
2.5%
의 7
 
2.5%
Other values (84) 178
64.5%
Latin
ValueCountFrequency (%)
S 4
23.5%
H 3
17.6%
E 3
17.6%
R 2
11.8%
F 2
11.8%
G 2
11.8%
T 1
 
5.9%
Common
ValueCountFrequency (%)
22
50.0%
( 8
 
18.2%
) 8
 
18.2%
2 3
 
6.8%
1 2
 
4.5%
- 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
81.9%
ASCII 61
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
36.1%
( 8
 
13.1%
) 8
 
13.1%
S 4
 
6.6%
2 3
 
4.9%
H 3
 
4.9%
E 3
 
4.9%
R 2
 
3.3%
F 2
 
3.3%
G 2
 
3.3%
Other values (3) 4
 
6.6%
Hangul
ValueCountFrequency (%)
스 15
 
5.4%
점 14
 
5.1%
시 13
 
4.7%
장 9
 
3.3%
데 9
 
3.3%
주 8
 
2.9%
구 8
 
2.9%
롯 8
 
2.9%
프 7
 
2.5%
의 7
 
2.5%
Other values (84) 178
64.5%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2012-01-04 11:10:42
Maximum2024-05-08 15:25:47
2024-05-11T14:23:12.006210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:23:12.186351image/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
U
18 
I
15 

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 18
54.5%
I 15
45.5%

Length

2024-05-11T14:23:12.382610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:12.514320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 18
54.5%
i 15
45.5%

데이터갱신일자
Categorical

Distinct15
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size396.0 B
2018-08-31 23:59:59.0
14 
2021-12-08 21:00:00.0
6 
2021-01-31 02:40:00.0
 
1
2022-10-31 23:09:00.0
 
1
2021-08-21 02:40:00.0
 
1
Other values (10)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique13 ?
Unique (%)39.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2021-01-31 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 14
42.4%
2021-12-08 21:00:00.0 6
18.2%
2021-01-31 02:40:00.0 1
 
3.0%
2022-10-31 23:09:00.0 1
 
3.0%
2021-08-21 02:40:00.0 1
 
3.0%
2018-09-06 23:59:59.0 1
 
3.0%
2022-12-03 23:02:00.0 1
 
3.0%
2023-12-03 23:09:00.0 1
 
3.0%
2021-12-04 23:05:00.0 1
 
3.0%
2023-12-04 23:00:00.0 1
 
3.0%
Other values (5) 5
 
15.2%

Length

2024-05-11T14:23:12.653266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 15
22.7%
2018-08-31 14
21.2%
2021-12-08 6
 
9.1%
21:00:00.0 6
 
9.1%
02:40:00.0 2
 
3.0%
23:09:00.0 2
 
3.0%
2023-12-03 2
 
3.0%
23:00:00.0 1
 
1.5%
2023-12-01 1
 
1.5%
21:01:00.0 1
 
1.5%
Other values (16) 16
24.2%

업태구분명
Categorical

Distinct5
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
그 밖의 대규모점포
19 
구분없음
10 
대형마트
2 
백화점
 
1
쇼핑센터
 
1

Length

Max length10
Median length10
Mean length7.4242424
Min length3

Unique

Unique2 ?
Unique (%)6.1%

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 19
57.6%
구분없음 10
30.3%
대형마트 2
 
6.1%
백화점 1
 
3.0%
쇼핑센터 1
 
3.0%

Length

2024-05-11T14:23:12.843959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:12.983217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그 19
26.8%
밖의 19
26.8%
대규모점포 19
26.8%
구분없음 10
14.1%
대형마트 2
 
2.8%
백화점 1
 
1.4%
쇼핑센터 1
 
1.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)87.1%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean207359.67
Minimum205663.08
Maximum209345.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:23:13.122366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205663.08
5-th percentile205822.55
Q1206518.02
median207400.61
Q3208144.82
95-th percentile208601.55
Maximum209345.94
Range3682.8607
Interquartile range (IQR)1626.8005

Descriptive statistics

Standard deviation977.44462
Coefficient of variation (CV)0.0047137644
Kurtosis-0.87838415
Mean207359.67
Median Absolute Deviation (MAD)801.38526
Skewness-0.12038399
Sum6428149.8
Variance955397.99
MonotonicityNot monotonic
2024-05-11T14:23:13.292783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
207114.498872176 2
 
6.1%
206107.775163579 2
 
6.1%
207400.608063491 2
 
6.1%
208394.416382167 2
 
6.1%
206217.434726027 1
 
3.0%
207775.86513205 1
 
3.0%
205758.816662193 1
 
3.0%
208261.748825555 1
 
3.0%
208087.647208835 1
 
3.0%
208075.543534642 1
 
3.0%
Other values (17) 17
51.5%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
205663.081069121 1
3.0%
205758.816662193 1
3.0%
205886.288968009 1
3.0%
206107.775163579 2
6.1%
206212.244268239 1
3.0%
206217.434726027 1
3.0%
206349.675048285 1
3.0%
206686.364451141 1
3.0%
207001.872308692 1
3.0%
207098.994772766 1
3.0%
ValueCountFrequency (%)
209345.941766315 1
3.0%
208644.819209521 1
3.0%
208558.286631653 1
3.0%
208403.746065593 1
3.0%
208394.416382167 2
6.1%
208261.748825555 1
3.0%
208201.993320839 1
3.0%
208087.647208835 1
3.0%
208075.543534642 1
3.0%
207778.116493941 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)87.1%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean449196.07
Minimum447632.3
Maximum451296.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T14:23:13.475673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447632.3
5-th percentile447859.88
Q1448440.54
median448930.68
Q3449891.68
95-th percentile451278.25
Maximum451296.05
Range3663.7534
Interquartile range (IQR)1451.1446

Descriptive statistics

Standard deviation1096.9734
Coefficient of variation (CV)0.0024420814
Kurtosis-0.59512835
Mean449196.07
Median Absolute Deviation (MAD)646.49168
Skewness0.73051677
Sum13925078
Variance1203350.6
MonotonicityNot monotonic
2024-05-11T14:23:13.649674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
451296.049443757 2
 
6.1%
449029.342177779 2
 
6.1%
448930.683211743 2
 
6.1%
448165.279999905 2
 
6.1%
448506.218743834 1
 
3.0%
449252.386906411 1
 
3.0%
448768.161400623 1
 
3.0%
448701.658478751 1
 
3.0%
448484.131343078 1
 
3.0%
449971.642025946 1
 
3.0%
Other values (17) 17
51.5%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
447632.296040333 1
3.0%
447752.463189936 1
3.0%
447967.299542306 1
3.0%
448165.279999905 2
6.1%
448250.363358949 1
3.0%
448353.905156369 1
3.0%
448396.939704285 1
3.0%
448484.131343078 1
3.0%
448490.239179557 1
3.0%
448506.218743834 1
3.0%
ValueCountFrequency (%)
451296.049443757 2
6.1%
451260.44574067 1
3.0%
451072.124043842 1
3.0%
450639.201015458 1
3.0%
450597.61492646 1
3.0%
450250.255643789 1
3.0%
449971.642025946 1
3.0%
449811.718207794 1
3.0%
449577.174890763 1
3.0%
449270.23146706 1
3.0%

점포구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
대규모점포
17 
<NA>
16 

Length

Max length5
Median length5
Mean length4.5151515
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대규모점포 17
51.5%
<NA> 16
48.5%

Length

2024-05-11T14:23:13.868716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:23:13.996421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대규모점포 17
51.5%
na 16
48.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
03040000200130400730750000119701223<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-463-75211524.1<NA>서울특별시 광진구 자양동 44번지 2호서울특별시 광진구 뚝섬로 491 (자양동)143843노룬산시장2013-12-23 16:36:35I2018-08-31 23:59:59.0그 밖의 대규모점포205663.081069448250.363359대규모점포
13040000200130400730750000219710501<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-463-56116426.48<NA>서울특별시 광진구 자양동 6번지 20호서울특별시 광진구 아차산로30길 39 (자양동)143841조양시장2017-12-08 10:38:45I2018-08-31 23:59:59.0그 밖의 대규모점포205886.288968448517.338628대규모점포
23040000200130400730750000319710508<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-467-02542107.8<NA>서울특별시 광진구 중곡동 229번지 5호서울특별시 광진구 긴고랑로11길 11 (중곡동)143903중곡제일시장2012-01-04 17:05:26I2018-08-31 23:59:59.0그 밖의 대규모점포207114.498872451296.049444대규모점포
33040000200130400730750000419740209<NA>3폐업3폐업처리20210127<NA><NA><NA>02-457-80452529.91<NA>서울특별시 광진구 구의동 66번지 28호서울특별시 광진구 광나루로 531-5 (구의동)143819구의시장2021-01-29 18:09:26U2021-01-31 02:40:00.0그 밖의 대규모점포207754.575203449270.231467대규모점포
43040000200130400730750000519740701<NA>3폐업3폐업처리20060123<NA><NA><NA>02-466-67673185.08<NA>서울특별시 광진구 군자동 361번지 6호<NA><NA>화양시장2012-01-04 16:32:52I2018-08-31 23:59:59.0그 밖의 대규모점포<NA><NA>대규모점포
53040000200130400730750000619770131<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 44417071137.92<NA>서울특별시 광진구 중곡동 79번지 13호서울특별시 광진구 영화사로 12 (중곡동)143888신성종합시장2012-01-04 16:20:51I2018-08-31 23:59:59.0그 밖의 대규모점포207747.893953450639.201015대규모점포
63040000200130400730750000719790709<NA>3폐업3폐업처리20111229<NA><NA><NA>02-454-03654422.0<NA>서울특별시 광진구 광장동 145번지 8호서울특별시 광진구 아차산로 635 (광장동)143752워커힐상가2012-01-04 16:12:30I2018-08-31 23:59:59.0그 밖의 대규모점포209345.941766449811.718208대규모점포
73040000200130400730750000819790716<NA>1영업/정상1정상영업<NA><NA><NA><NA>02 45774802418.11<NA>서울특별시 광진구 자양동 602호서울특별시 광진구 자양번영로6길 20 (자양동)143865자양종합시장2014-07-23 19:01:51I2018-08-31 23:59:59.0그 밖의 대규모점포206686.364451447752.46319대규모점포
8304000020013040073075000091980-04-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-465-79652456.45<NA>서울특별시 광진구 화양동 10번지 1호서울특별시 광진구 능동로13길 39 (화양동)143-914한아름시장2023-11-17 10:04:22U2022-10-31 23:09:00.0그 밖의 대규모점포206107.775164449029.342178<NA>
93040000200130400730750001019800618<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-467-52002135.53<NA>서울특별시 광진구 중곡동 229번지 15호서울특별시 광진구 능동로47길 30 (중곡동)143903광성시장2012-01-04 14:42:00I2018-08-31 23:59:59.0그 밖의 대규모점포207098.994773451260.445741대규모점포
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)점포구분명
233040000201130401550750000420111005<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3437-8546235.8143888서울특별시 광진구 중곡4동 93번지 2호서울특별시 광진구 용마산로 10 (중곡동)143888홈플러스익스프레스 중곡2점2022-09-28 15:13:40U2021-12-08 21:00:00.0구분없음207778.116494450250.255644<NA>
243040000201130401550750000520111005<NA>3폐업3폐업처리20200719<NA><NA><NA>02-2201-8547194.7143824서울특별시 광진구 구의1동 236번지 53호서울특별시 광진구 자양로 168 (구의동)143824홈플러스(주)익스프레스 구의점2022-09-28 15:13:19U2021-12-08 21:00:00.0구분없음207400.608063448930.683212<NA>
25304000020123040155075000012012-03-06<NA>1영업/정상1정상영업<NA><NA><NA><NA>024478545274.4143-898서울특별시 광진구 중곡2동 157번지 1호서울특별시 광진구 능동로 314 (중곡동)143-898홈플러스(주)익스프레스 중곡점2024-04-11 17:28:16U2023-12-03 23:03:00.0구분없음207001.872309450597.614926<NA>
26304000020123040155075000022012-03-21<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3437-5602132.23143-817서울특별시 광진구 구의2동 49번지 4호서울특별시 광진구 자양로 293 (구의동)143-817롯데 FRESH 아차산점2023-03-30 15:10:12U2022-12-04 00:01:00.0구분없음208075.543535449971.642026<NA>
273040000201230401550750000320120321<NA>3폐업3폐업처리20180319<NA><NA><NA>000204525601658.8143822서울특별시 광진구 구의3동 218번지 14호 나동서울특별시 광진구 아차산로 450 (구의동)143822롯데쇼핑(주)롯데슈퍼 구의점2022-09-28 15:12:13U2021-12-08 21:00:00.0구분없음208087.647209448484.131343<NA>
283040000201230401550750000420120329<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-458-8545232.07143822서울특별시 광진구 구의3동 212번지 2호서울특별시 광진구 아차산로 473 (구의동)143822홈플러스익스프레스 구의2점2022-09-28 15:12:01U2021-12-08 21:00:00.0구분없음208261.748826448701.658479<NA>
293040000201530401680750000120150403<NA>1영업/정상1정상영업<NA><NA><NA><NA>3677-72814037.2<NA>서울특별시 광진구 자양동 17번지 1호서울특별시 광진구 아차산로 200 (자양동)05071커먼그라운드2016-11-28 11:17:58I2018-08-31 23:59:59.0그 밖의 대규모점포205758.816662448768.161401대규모점포
30304000020213040190075000012021-06-08<NA>1영업/정상1정상영업<NA><NA><NA><NA>0245780453208.98<NA>서울특별시 광진구 구의동 66-25서울특별시 광진구 광나루로39길 11 (구의동)04977구의 자이르네 판매시설2023-12-12 17:26:18U2022-11-01 23:04:00.0그 밖의 대규모점포207775.865132449252.386906<NA>
313040000202230401900750000120220713<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-2006-2364203.28<NA>서울특별시 광진구 구의동 236-53 광진 더프레236서울특별시 광진구 자양로 168, 102호 (구의동, 광진 더프레236)05038GS THE FRESH 광진구의점2022-07-29 09:46:58U2021-12-06 21:01:00.0구분없음207400.608063448930.683212<NA>
32304000020243040190075000012024-01-05<NA>1영업/정상5영업개시전<NA><NA><NA><NA>02-444-860434138.84<NA>서울특별시 광진구 자양동 680-63<NA><NA>자양1재정비촉진구역 도시정비형 재개발사업 판매시설2024-01-05 10:04:42I2023-12-01 00:07:00.0쇼핑센터<NA><NA><NA>