Overview

Dataset statistics

Number of variables47
Number of observations501
Missing cells4722
Missing cells (%)20.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory198.3 KiB
Average record size in memory405.3 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric6
Boolean2

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),위생업태명,건물지상층수,건물지하층수,사용시작지상층,사용끝지상층,사용시작지하층,사용끝지하층,한실수,양실수,욕실수,발한실여부,좌석수,조건부허가신고사유,조건부허가시작일자,조건부허가종료일자,건물소유구분명,세탁기수,여성종사자수,남성종사자수,회수건조수,침대수,다중이용업소여부
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17931/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (94.7%)Imbalance
위생업태명 is highly imbalanced (73.2%)Imbalance
사용끝지상층 is highly imbalanced (66.1%)Imbalance
사용끝지하층 is highly imbalanced (70.7%)Imbalance
건물소유구분명 is highly imbalanced (66.5%)Imbalance
여성종사자수 is highly imbalanced (71.6%)Imbalance
남성종사자수 is highly imbalanced (68.5%)Imbalance
인허가취소일자 has 501 (100.0%) missing valuesMissing
폐업일자 has 98 (19.6%) missing valuesMissing
휴업시작일자 has 501 (100.0%) missing valuesMissing
휴업종료일자 has 501 (100.0%) missing valuesMissing
재개업일자 has 501 (100.0%) missing valuesMissing
전화번호 has 127 (25.3%) missing valuesMissing
도로명주소 has 298 (59.5%) missing valuesMissing
도로명우편번호 has 300 (59.9%) missing valuesMissing
좌표정보(X) has 21 (4.2%) missing valuesMissing
좌표정보(Y) has 21 (4.2%) missing valuesMissing
건물지상층수 has 222 (44.3%) missing valuesMissing
발한실여부 has 41 (8.2%) missing valuesMissing
좌석수 has 51 (10.2%) missing valuesMissing
조건부허가신고사유 has 501 (100.0%) missing valuesMissing
조건부허가시작일자 has 501 (100.0%) missing valuesMissing
조건부허가종료일자 has 501 (100.0%) missing valuesMissing
다중이용업소여부 has 36 (7.2%) 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
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 62 (12.4%) zerosZeros
건물지상층수 has 244 (48.7%) zerosZeros
좌석수 has 6 (1.2%) zerosZeros

Reproduction

Analysis started2024-04-06 10:31:08.831701
Analysis finished2024-04-06 10:31:10.170037
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3040000
501 

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 501
100.0%

Length

2024-04-06T19:31:10.281979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:10.407657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 501
100.0%

관리번호
Text

UNIQUE 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:31:10.646619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters11022
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

Unique501 ?
Unique (%)100.0%

Sample

1st row3040000-203-1963-00125
2nd row3040000-203-1968-00176
3rd row3040000-203-1970-00212
4th row3040000-203-1970-01368
5th row3040000-203-1972-00245
ValueCountFrequency (%)
3040000-203-1963-00125 1
 
0.2%
3040000-203-2000-00012 1
 
0.2%
3040000-203-2003-00003 1
 
0.2%
3040000-203-2003-00002 1
 
0.2%
3040000-203-2003-00001 1
 
0.2%
3040000-203-2002-00016 1
 
0.2%
3040000-203-2002-00015 1
 
0.2%
3040000-203-2002-00014 1
 
0.2%
3040000-203-2002-00013 1
 
0.2%
3040000-203-2002-00012 1
 
0.2%
Other values (491) 491
98.0%
2024-04-06T19:31:11.156926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4697
42.6%
- 1503
 
13.6%
3 1280
 
11.6%
2 949
 
8.6%
4 674
 
6.1%
1 674
 
6.1%
9 568
 
5.2%
8 246
 
2.2%
7 160
 
1.5%
5 138
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9519
86.4%
Dash Punctuation 1503
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4697
49.3%
3 1280
 
13.4%
2 949
 
10.0%
4 674
 
7.1%
1 674
 
7.1%
9 568
 
6.0%
8 246
 
2.6%
7 160
 
1.7%
5 138
 
1.4%
6 133
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1503
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11022
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4697
42.6%
- 1503
 
13.6%
3 1280
 
11.6%
2 949
 
8.6%
4 674
 
6.1%
1 674
 
6.1%
9 568
 
5.2%
8 246
 
2.2%
7 160
 
1.5%
5 138
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4697
42.6%
- 1503
 
13.6%
3 1280
 
11.6%
2 949
 
8.6%
4 674
 
6.1%
1 674
 
6.1%
9 568
 
5.2%
8 246
 
2.2%
7 160
 
1.5%
5 138
 
1.3%

인허가일자
Date

Distinct458
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1963-04-08 00:00:00
Maximum2024-03-18 00:00:00
2024-04-06T19:31:11.347844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:11.566255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
403 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 403
80.4%
1 98
 
19.6%

Length

2024-04-06T19:31:11.795728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:11.952963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 403
80.4%
1 98
 
19.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
403 
영업/정상
98 

Length

Max length5
Median length2
Mean length2.5868263
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 403
80.4%
영업/정상 98
 
19.6%

Length

2024-04-06T19:31:12.112233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:12.291089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 403
80.4%
영업/정상 98
 
19.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2
403 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 403
80.4%
1 98
 
19.6%

Length

2024-04-06T19:31:12.469592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:12.607907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 403
80.4%
1 98
 
19.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
403 
영업
98 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 403
80.4%
영업 98
 
19.6%

Length

2024-04-06T19:31:12.777249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:12.938883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 403
80.4%
영업 98
 
19.6%

폐업일자
Date

MISSING 

Distinct353
Distinct (%)87.6%
Missing98
Missing (%)19.6%
Memory size4.0 KiB
Minimum1991-05-16 00:00:00
Maximum2024-02-16 00:00:00
2024-04-06T19:31:13.114707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:13.345575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

전화번호
Text

MISSING 

Distinct343
Distinct (%)91.7%
Missing127
Missing (%)25.3%
Memory size4.0 KiB
2024-04-06T19:31:13.747202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.018717
Min length2

Characters and Unicode

Total characters3747
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

Unique324 ?
Unique (%)86.6%

Sample

1st row02 4504399
2nd row02 4504765
3rd row02 4624486
4th row02 4679761
5th row02 4528243
ValueCountFrequency (%)
02 301
41.9%
0 11
 
1.5%
0200000000 6
 
0.8%
457 2
 
0.3%
4587539 2
 
0.3%
453 2
 
0.3%
499 2
 
0.3%
070 2
 
0.3%
4530990 2
 
0.3%
02453 2
 
0.3%
Other values (364) 386
53.8%
2024-04-06T19:31:14.439938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 619
16.5%
2 573
15.3%
4 550
14.7%
397
10.6%
6 308
8.2%
5 304
8.1%
3 230
 
6.1%
9 212
 
5.7%
7 202
 
5.4%
8 191
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3350
89.4%
Space Separator 397
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 619
18.5%
2 573
17.1%
4 550
16.4%
6 308
9.2%
5 304
9.1%
3 230
 
6.9%
9 212
 
6.3%
7 202
 
6.0%
8 191
 
5.7%
1 161
 
4.8%
Space Separator
ValueCountFrequency (%)
397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3747
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 619
16.5%
2 573
15.3%
4 550
14.7%
397
10.6%
6 308
8.2%
5 304
8.1%
3 230
 
6.1%
9 212
 
5.7%
7 202
 
5.4%
8 191
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 619
16.5%
2 573
15.3%
4 550
14.7%
397
10.6%
6 308
8.2%
5 304
8.1%
3 230
 
6.1%
9 212
 
5.7%
7 202
 
5.4%
8 191
 
5.1%

소재지면적
Real number (ℝ)

ZEROS 

Distinct314
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.990399
Minimum0
Maximum130
Zeros62
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:31:14.734367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.1
median18.9
Q330.41
95-th percentile68.16
Maximum130
Range130
Interquartile range (IQR)19.31

Descriptive statistics

Standard deviation20.852821
Coefficient of variation (CV)0.86921525
Kurtosis4.2756431
Mean23.990399
Median Absolute Deviation (MAD)9
Skewness1.7815981
Sum12019.19
Variance434.84013
MonotonicityNot monotonic
2024-04-06T19:31:15.055046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 62
 
12.4%
33.0 10
 
2.0%
30.0 10
 
2.0%
9.9 10
 
2.0%
6.6 9
 
1.8%
19.8 8
 
1.6%
16.5 8
 
1.6%
20.0 6
 
1.2%
26.4 5
 
1.0%
23.1 5
 
1.0%
Other values (304) 368
73.5%
ValueCountFrequency (%)
0.0 62
12.4%
3.21 2
 
0.4%
5.0 1
 
0.2%
5.4 1
 
0.2%
6.0 1
 
0.2%
6.6 9
 
1.8%
7.0 1
 
0.2%
8.0 1
 
0.2%
8.06 1
 
0.2%
8.2 1
 
0.2%
ValueCountFrequency (%)
130.0 1
0.2%
125.4 1
0.2%
120.0 1
0.2%
99.6 1
0.2%
96.2 1
0.2%
96.0 1
0.2%
94.34 1
0.2%
92.4 1
0.2%
92.0 1
0.2%
91.91 1
0.2%

소재지우편번호
Text

Distinct106
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:31:15.436682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0359281
Min length6

Characters and Unicode

Total characters3024
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

Unique31 ?
Unique (%)6.2%

Sample

1st row143800
2nd row143800
3rd row143837
4th row143839
5th row143903
ValueCountFrequency (%)
143838 15
 
3.0%
143888 14
 
2.8%
143916 13
 
2.6%
143903 13
 
2.6%
143847 13
 
2.6%
143909 13
 
2.6%
143831 12
 
2.4%
143885 12
 
2.4%
143900 11
 
2.2%
143842 11
 
2.2%
Other values (96) 374
74.7%
2024-04-06T19:31:16.119074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 629
20.8%
4 596
19.7%
3 595
19.7%
8 464
15.3%
9 173
 
5.7%
2 130
 
4.3%
0 128
 
4.2%
6 109
 
3.6%
7 97
 
3.2%
5 85
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3006
99.4%
Dash Punctuation 18
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 629
20.9%
4 596
19.8%
3 595
19.8%
8 464
15.4%
9 173
 
5.8%
2 130
 
4.3%
0 128
 
4.3%
6 109
 
3.6%
7 97
 
3.2%
5 85
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 629
20.8%
4 596
19.7%
3 595
19.7%
8 464
15.3%
9 173
 
5.7%
2 130
 
4.3%
0 128
 
4.2%
6 109
 
3.6%
7 97
 
3.2%
5 85
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 629
20.8%
4 596
19.7%
3 595
19.7%
8 464
15.3%
9 173
 
5.7%
2 130
 
4.3%
0 128
 
4.2%
6 109
 
3.6%
7 97
 
3.2%
5 85
 
2.8%

지번주소
Text

Distinct450
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:31:16.634423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length44
Mean length23.107784
Min length16

Characters and Unicode

Total characters11577
Distinct characters124
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)80.8%

Sample

1st row서울특별시 광진구 광장동 21
2nd row서울특별시 광진구 광장동 21번지
3rd row서울특별시 광진구 군자동 49-1 (1층)
4th row서울특별시 광진구 군자동 102-13번지
5th row서울특별시 광진구 중곡동 241-24번지
ValueCountFrequency (%)
서울특별시 501
23.3%
광진구 501
23.3%
자양동 143
 
6.7%
중곡동 128
 
6.0%
구의동 105
 
4.9%
화양동 45
 
2.1%
1층 37
 
1.7%
군자동 35
 
1.6%
광장동 25
 
1.2%
능동 20
 
0.9%
Other values (500) 606
28.2%
2024-04-06T19:31:17.513582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2106
18.2%
구 608
 
5.3%
광 528
 
4.6%
동 508
 
4.4%
서 502
 
4.3%
진 502
 
4.3%
울 502
 
4.3%
특 501
 
4.3%
별 501
 
4.3%
시 501
 
4.3%
Other values (114) 4818
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6705
57.9%
Decimal Number 2217
 
19.2%
Space Separator 2106
 
18.2%
Dash Punctuation 478
 
4.1%
Open Punctuation 29
 
0.3%
Close Punctuation 29
 
0.3%
Other Punctuation 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 608
 
9.1%
광 528
 
7.9%
동 508
 
7.6%
서 502
 
7.5%
진 502
 
7.5%
울 502
 
7.5%
특 501
 
7.5%
별 501
 
7.5%
시 501
 
7.5%
지 426
 
6.4%
Other values (92) 1626
24.3%
Decimal Number
ValueCountFrequency (%)
1 443
20.0%
2 357
16.1%
6 232
10.5%
4 230
10.4%
3 219
9.9%
5 219
9.9%
7 138
 
6.2%
9 132
 
6.0%
8 125
 
5.6%
0 122
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
20.0%
c 1
20.0%
s 1
20.0%
p 1
20.0%
e 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
2106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 478
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6705
57.9%
Common 4864
42.0%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 608
 
9.1%
광 528
 
7.9%
동 508
 
7.6%
서 502
 
7.5%
진 502
 
7.5%
울 502
 
7.5%
특 501
 
7.5%
별 501
 
7.5%
시 501
 
7.5%
지 426
 
6.4%
Other values (92) 1626
24.3%
Common
ValueCountFrequency (%)
2106
43.3%
- 478
 
9.8%
1 443
 
9.1%
2 357
 
7.3%
6 232
 
4.8%
4 230
 
4.7%
3 219
 
4.5%
5 219
 
4.5%
7 138
 
2.8%
9 132
 
2.7%
Other values (5) 310
 
6.4%
Latin
ValueCountFrequency (%)
B 2
25.0%
a 1
12.5%
c 1
12.5%
s 1
12.5%
p 1
12.5%
e 1
12.5%
A 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6705
57.9%
ASCII 4872
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2106
43.2%
- 478
 
9.8%
1 443
 
9.1%
2 357
 
7.3%
6 232
 
4.8%
4 230
 
4.7%
3 219
 
4.5%
5 219
 
4.5%
7 138
 
2.8%
9 132
 
2.7%
Other values (12) 318
 
6.5%
Hangul
ValueCountFrequency (%)
구 608
 
9.1%
광 528
 
7.9%
동 508
 
7.6%
서 502
 
7.5%
진 502
 
7.5%
울 502
 
7.5%
특 501
 
7.5%
별 501
 
7.5%
시 501
 
7.5%
지 426
 
6.4%
Other values (92) 1626
24.3%

도로명주소
Text

MISSING 

Distinct198
Distinct (%)97.5%
Missing298
Missing (%)59.5%
Memory size4.0 KiB
2024-04-06T19:31:17.990218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length28.926108
Min length21

Characters and Unicode

Total characters5872
Distinct characters147
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)95.1%

Sample

1st row서울특별시 광진구 워커힐로 177 (광장동)
2nd row서울특별시 광진구 워커힐로 177 (광장동)
3rd row서울특별시 광진구 면목로 26 (군자동,(1층))
4th row서울특별시 광진구 능동로32길 16 (능동)
5th row서울특별시 광진구 뚝섬로23길 24 (자양동)
ValueCountFrequency (%)
서울특별시 203
 
17.4%
광진구 203
 
17.4%
1층 69
 
5.9%
자양동 67
 
5.7%
중곡동 52
 
4.4%
구의동 34
 
2.9%
자양로 9
 
0.8%
화양동 9
 
0.8%
광장동 8
 
0.7%
능동로 7
 
0.6%
Other values (308) 509
43.5%
2024-04-06T19:31:18.804300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
968
 
16.5%
구 251
 
4.3%
동 250
 
4.3%
1 234
 
4.0%
광 225
 
3.8%
( 222
 
3.8%
) 222
 
3.8%
진 205
 
3.5%
로 204
 
3.5%
서 204
 
3.5%
Other values (137) 2887
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3467
59.0%
Space Separator 968
 
16.5%
Decimal Number 852
 
14.5%
Open Punctuation 222
 
3.8%
Close Punctuation 222
 
3.8%
Other Punctuation 122
 
2.1%
Dash Punctuation 13
 
0.2%
Lowercase Letter 5
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 251
 
7.2%
동 250
 
7.2%
광 225
 
6.5%
진 205
 
5.9%
로 204
 
5.9%
서 204
 
5.9%
울 204
 
5.9%
시 203
 
5.9%
별 203
 
5.9%
특 203
 
5.9%
Other values (116) 1315
37.9%
Decimal Number
ValueCountFrequency (%)
1 234
27.5%
3 100
11.7%
2 98
11.5%
4 77
 
9.0%
6 68
 
8.0%
5 65
 
7.6%
7 64
 
7.5%
0 63
 
7.4%
8 48
 
5.6%
9 35
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
p 1
20.0%
a 1
20.0%
c 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
968
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Other Punctuation
ValueCountFrequency (%)
, 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3467
59.0%
Common 2399
40.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 251
 
7.2%
동 250
 
7.2%
광 225
 
6.5%
진 205
 
5.9%
로 204
 
5.9%
서 204
 
5.9%
울 204
 
5.9%
시 203
 
5.9%
별 203
 
5.9%
특 203
 
5.9%
Other values (116) 1315
37.9%
Common
ValueCountFrequency (%)
968
40.4%
1 234
 
9.8%
( 222
 
9.3%
) 222
 
9.3%
, 122
 
5.1%
3 100
 
4.2%
2 98
 
4.1%
4 77
 
3.2%
6 68
 
2.8%
5 65
 
2.7%
Other values (5) 223
 
9.3%
Latin
ValueCountFrequency (%)
s 1
16.7%
p 1
16.7%
a 1
16.7%
c 1
16.7%
e 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3467
59.0%
ASCII 2405
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
968
40.2%
1 234
 
9.7%
( 222
 
9.2%
) 222
 
9.2%
, 122
 
5.1%
3 100
 
4.2%
2 98
 
4.1%
4 77
 
3.2%
6 68
 
2.8%
5 65
 
2.7%
Other values (11) 229
 
9.5%
Hangul
ValueCountFrequency (%)
구 251
 
7.2%
동 250
 
7.2%
광 225
 
6.5%
진 205
 
5.9%
로 204
 
5.9%
서 204
 
5.9%
울 204
 
5.9%
시 203
 
5.9%
별 203
 
5.9%
특 203
 
5.9%
Other values (116) 1315
37.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)61.2%
Missing300
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean5011.9403
Minimum4901
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:31:19.081992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile4905
Q14950
median5024
Q35068
95-th percentile5112
Maximum5119
Range218
Interquartile range (IQR)118

Descriptive statistics

Standard deviation67.05674
Coefficient of variation (CV)0.013379397
Kurtosis-1.270472
Mean5011.9403
Median Absolute Deviation (MAD)55
Skewness-0.17521849
Sum1007400
Variance4496.6064
MonotonicityNot monotonic
2024-04-06T19:31:19.480319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4903 5
 
1.0%
5062 4
 
0.8%
5049 4
 
0.8%
5099 4
 
0.8%
4950 3
 
0.6%
5085 3
 
0.6%
5066 3
 
0.6%
5102 3
 
0.6%
5003 3
 
0.6%
5046 3
 
0.6%
Other values (113) 166
33.1%
(Missing) 300
59.9%
ValueCountFrequency (%)
4901 2
 
0.4%
4902 2
 
0.4%
4903 5
1.0%
4905 2
 
0.4%
4906 1
 
0.2%
4908 2
 
0.4%
4910 2
 
0.4%
4912 2
 
0.4%
4913 1
 
0.2%
4915 2
 
0.4%
ValueCountFrequency (%)
5119 2
0.4%
5118 1
 
0.2%
5117 1
 
0.2%
5116 1
 
0.2%
5115 3
0.6%
5113 1
 
0.2%
5112 3
0.6%
5105 2
0.4%
5102 3
0.6%
5101 1
 
0.2%

사업장명
Text

Distinct418
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-06T19:31:19.994269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length4.4610778
Min length1

Characters and Unicode

Total characters2235
Distinct characters306
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)70.3%

Sample

1st row워커힐이용
2nd row워커힐구내이용
3rd row성심이용
4th row정훈이용
5th row충무로
ValueCountFrequency (%)
이용원 9
 
1.6%
바버샵 8
 
1.4%
현대 7
 
1.3%
barbershop 6
 
1.1%
대성 5
 
0.9%
현대이용 4
 
0.7%
광진 4
 
0.7%
기분좋은날 3
 
0.5%
이용 3
 
0.5%
우정 3
 
0.5%
Other values (428) 507
90.7%
2024-04-06T19:31:20.852170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 283
 
12.7%
용 254
 
11.4%
58
 
2.6%
성 58
 
2.6%
원 48
 
2.1%
동 39
 
1.7%
탕 38
 
1.7%
우 36
 
1.6%
대 35
 
1.6%
광 30
 
1.3%
Other values (296) 1356
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2003
89.6%
Lowercase Letter 85
 
3.8%
Space Separator 58
 
2.6%
Uppercase Letter 56
 
2.5%
Open Punctuation 13
 
0.6%
Close Punctuation 13
 
0.6%
Decimal Number 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 283
 
14.1%
용 254
 
12.7%
성 58
 
2.9%
원 48
 
2.4%
동 39
 
1.9%
탕 38
 
1.9%
우 36
 
1.8%
대 35
 
1.7%
광 30
 
1.5%
발 28
 
1.4%
Other values (255) 1154
57.6%
Lowercase Letter
ValueCountFrequency (%)
r 13
15.3%
a 9
10.6%
o 8
9.4%
e 8
9.4%
p 7
8.2%
b 7
8.2%
h 6
7.1%
n 6
7.1%
t 4
 
4.7%
s 4
 
4.7%
Other values (7) 13
15.3%
Uppercase Letter
ValueCountFrequency (%)
B 10
17.9%
A 7
12.5%
S 6
10.7%
R 6
10.7%
O 4
 
7.1%
H 4
 
7.1%
M 4
 
7.1%
E 3
 
5.4%
V 2
 
3.6%
P 2
 
3.6%
Other values (6) 8
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
9 2
40.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
# 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2001
89.5%
Latin 141
 
6.3%
Common 91
 
4.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 283
 
14.1%
용 254
 
12.7%
성 58
 
2.9%
원 48
 
2.4%
동 39
 
1.9%
탕 38
 
1.9%
우 36
 
1.8%
대 35
 
1.7%
광 30
 
1.5%
발 28
 
1.4%
Other values (253) 1152
57.6%
Latin
ValueCountFrequency (%)
r 13
 
9.2%
B 10
 
7.1%
a 9
 
6.4%
o 8
 
5.7%
e 8
 
5.7%
p 7
 
5.0%
b 7
 
5.0%
A 7
 
5.0%
h 6
 
4.3%
n 6
 
4.3%
Other values (23) 60
42.6%
Common
ValueCountFrequency (%)
58
63.7%
( 13
 
14.3%
) 13
 
14.3%
1 2
 
2.2%
9 2
 
2.2%
# 1
 
1.1%
' 1
 
1.1%
4 1
 
1.1%
Han
ValueCountFrequency (%)
髮 1
50.0%
美 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2001
89.5%
ASCII 232
 
10.4%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 283
 
14.1%
용 254
 
12.7%
성 58
 
2.9%
원 48
 
2.4%
동 39
 
1.9%
탕 38
 
1.9%
우 36
 
1.8%
대 35
 
1.7%
광 30
 
1.5%
발 28
 
1.4%
Other values (253) 1152
57.6%
ASCII
ValueCountFrequency (%)
58
25.0%
( 13
 
5.6%
r 13
 
5.6%
) 13
 
5.6%
B 10
 
4.3%
a 9
 
3.9%
o 8
 
3.4%
e 8
 
3.4%
p 7
 
3.0%
b 7
 
3.0%
Other values (31) 86
37.1%
CJK
ValueCountFrequency (%)
髮 1
50.0%
美 1
50.0%

최종수정일자
Date

Distinct321
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1999-01-14 00:00:00
Maximum2024-03-18 18:00:54
2024-04-06T19:31:21.126899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:21.399852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
I
391 
U
110 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 391
78.0%
U 110
 
22.0%

Length

2024-04-06T19:31:21.617980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:21.815650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 391
78.0%
u 110
 
22.0%

데이터갱신일자
Date

Distinct110
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:00:00
2024-04-06T19:31:22.048344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:31:22.746087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
일반이용업
498 
이용업 기타
 
3

Length

Max length6
Median length5
Mean length5.005988
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 498
99.4%
이용업 기타 3
 
0.6%

Length

2024-04-06T19:31:23.070462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:23.246259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 498
98.8%
이용업 3
 
0.6%
기타 3
 
0.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct387
Distinct (%)80.6%
Missing21
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean207162.98
Minimum205391.38
Maximum209766.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:31:23.590905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205391.38
5-th percentile205755.61
Q1206557.42
median207205.37
Q3207719.45
95-th percentile208558.29
Maximum209766.97
Range4375.5912
Interquartile range (IQR)1162.0294

Descriptive statistics

Standard deviation886.61807
Coefficient of variation (CV)0.0042798093
Kurtosis0.10655184
Mean207162.98
Median Absolute Deviation (MAD)564.47747
Skewness0.3025385
Sum99438232
Variance786091.6
MonotonicityNot monotonic
2024-04-06T19:31:23.833119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208558.286631653 6
 
1.2%
206107.775163579 5
 
1.0%
206219.841921018 4
 
0.8%
208006.504810197 4
 
0.8%
208644.819209521 4
 
0.8%
207019.192311058 4
 
0.8%
207368.624495222 4
 
0.8%
208201.993320839 3
 
0.6%
209637.078215509 3
 
0.6%
206134.078109767 3
 
0.6%
Other values (377) 440
87.8%
(Missing) 21
 
4.2%
ValueCountFrequency (%)
205391.382375241 1
0.2%
205416.532264515 1
0.2%
205475.031292954 1
0.2%
205498.824460551 1
0.2%
205510.476832288 2
0.4%
205539.0 1
0.2%
205555.646914106 1
0.2%
205562.928555937 1
0.2%
205598.497195455 1
0.2%
205606.03952062 1
0.2%
ValueCountFrequency (%)
209766.973555533 2
0.4%
209736.183864897 1
 
0.2%
209637.078215509 3
0.6%
209602.113978282 1
 
0.2%
209551.051963422 1
 
0.2%
209506.54940258 1
 
0.2%
209474.048905453 2
0.4%
209259.992544699 1
 
0.2%
209148.041991925 1
 
0.2%
209138.04726487 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct387
Distinct (%)80.6%
Missing21
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean449414.98
Minimum447450.65
Maximum452134.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:31:24.161819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447450.65
5-th percentile447753.81
Q1448329.27
median449121.08
Q3450474.47
95-th percentile451762.08
Maximum452134.45
Range4683.7998
Interquartile range (IQR)2145.1973

Descriptive statistics

Standard deviation1286.0092
Coefficient of variation (CV)0.0028615183
Kurtosis-1.0138533
Mean449414.98
Median Absolute Deviation (MAD)1038.0018
Skewness0.41782586
Sum2.1571919 × 108
Variance1653819.7
MonotonicityNot monotonic
2024-04-06T19:31:24.384952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448353.905156369 6
 
1.2%
449029.342177779 5
 
1.0%
449420.862074319 4
 
0.8%
447998.924380413 4
 
0.8%
448711.725750126 4
 
0.8%
451435.772826853 4
 
0.8%
447632.296040333 4
 
0.8%
447967.299542306 3
 
0.6%
449832.485937903 3
 
0.6%
449495.06302528 3
 
0.6%
Other values (377) 440
87.8%
(Missing) 21
 
4.2%
ValueCountFrequency (%)
447450.652964255 1
 
0.2%
447470.883464019 1
 
0.2%
447478.763743127 1
 
0.2%
447541.028214387 1
 
0.2%
447542.783968543 2
0.4%
447602.807804094 1
 
0.2%
447627.764185683 2
0.4%
447632.296040333 4
0.8%
447638.396838983 1
 
0.2%
447640.601132788 1
 
0.2%
ValueCountFrequency (%)
452134.45276901 2
0.4%
452131.060476514 1
 
0.2%
452100.903431521 3
0.6%
452097.000128126 2
0.4%
452078.304729585 1
 
0.2%
452070.118445356 2
0.4%
452065.80370491 1
 
0.2%
452041.121897854 1
 
0.2%
452036.093818641 1
 
0.2%
452022.249976971 1
 
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
일반이용업
462 
<NA>
 
36
이용업 기타
 
3

Length

Max length6
Median length5
Mean length4.9341317
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 462
92.2%
<NA> 36
 
7.2%
이용업 기타 3
 
0.6%

Length

2024-04-06T19:31:24.609056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:24.807855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 462
91.7%
na 36
 
7.1%
이용업 3
 
0.6%
기타 3
 
0.6%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)3.6%
Missing222
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean0.44802867
Minimum0
Maximum13
Zeros244
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:31:24.958067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.489769
Coefficient of variation (CV)3.3251643
Kurtosis24.756365
Mean0.44802867
Median Absolute Deviation (MAD)0
Skewness4.4670653
Sum125
Variance2.2194116
MonotonicityNot monotonic
2024-04-06T19:31:25.208360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 244
48.7%
1 9
 
1.8%
4 7
 
1.4%
3 6
 
1.2%
5 4
 
0.8%
2 4
 
0.8%
8 2
 
0.4%
7 1
 
0.2%
6 1
 
0.2%
13 1
 
0.2%
(Missing) 222
44.3%
ValueCountFrequency (%)
0 244
48.7%
1 9
 
1.8%
2 4
 
0.8%
3 6
 
1.2%
4 7
 
1.4%
5 4
 
0.8%
6 1
 
0.2%
7 1
 
0.2%
8 2
 
0.4%
13 1
 
0.2%
ValueCountFrequency (%)
13 1
 
0.2%
8 2
 
0.4%
7 1
 
0.2%
6 1
 
0.2%
5 4
 
0.8%
4 7
 
1.4%
3 6
 
1.2%
2 4
 
0.8%
1 9
 
1.8%
0 244
48.7%

건물지하층수
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
253 
<NA>
228 
1
 
17
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length2.3652695
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 253
50.5%
<NA> 228
45.5%
1 17
 
3.4%
2 2
 
0.4%
3 1
 
0.2%

Length

2024-04-06T19:31:25.471276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:25.688456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 253
50.5%
na 228
45.5%
1 17
 
3.4%
2 2
 
0.4%
3 1
 
0.2%

사용시작지상층
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
261 
0
183 
1
49 
2
 
6
3
 
2

Length

Max length4
Median length4
Mean length2.5628743
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 261
52.1%
0 183
36.5%
1 49
 
9.8%
2 6
 
1.2%
3 2
 
0.4%

Length

2024-04-06T19:31:25.873729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:26.046486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
52.1%
0 183
36.5%
1 49
 
9.8%
2 6
 
1.2%
3 2
 
0.4%

사용끝지상층
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
430 
1
 
43
0
 
20
2
 
6
3
 
2

Length

Max length4
Median length4
Mean length3.5748503
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 430
85.8%
1 43
 
8.6%
0 20
 
4.0%
2 6
 
1.2%
3 2
 
0.4%

Length

2024-04-06T19:31:26.283446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:26.456986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 430
85.8%
1 43
 
8.6%
0 20
 
4.0%
2 6
 
1.2%
3 2
 
0.4%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
283 
0
193 
2
 
13
1
 
12

Length

Max length4
Median length4
Mean length2.6946108
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 283
56.5%
0 193
38.5%
2 13
 
2.6%
1 12
 
2.4%

Length

2024-04-06T19:31:26.638358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:26.811269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
56.5%
0 193
38.5%
2 13
 
2.6%
1 12
 
2.4%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
453 
0
 
29
1
 
10
2
 
9

Length

Max length4
Median length4
Mean length3.7125749
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 453
90.4%
0 29
 
5.8%
1 10
 
2.0%
2 9
 
1.8%

Length

2024-04-06T19:31:27.073018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:27.303495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 453
90.4%
0 29
 
5.8%
1 10
 
2.0%
2 9
 
1.8%

한실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
263 
<NA>
238 

Length

Max length4
Median length1
Mean length2.4251497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 263
52.5%
<NA> 238
47.5%

Length

2024-04-06T19:31:27.578019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:27.776320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 263
52.5%
na 238
47.5%

양실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
263 
<NA>
238 

Length

Max length4
Median length1
Mean length2.4251497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 263
52.5%
<NA> 238
47.5%

Length

2024-04-06T19:31:28.013973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:28.240170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 263
52.5%
na 238
47.5%

욕실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
263 
<NA>
238 

Length

Max length4
Median length1
Mean length2.4251497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 263
52.5%
<NA> 238
47.5%

Length

2024-04-06T19:31:28.426714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:28.593353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 263
52.5%
na 238
47.5%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing41
Missing (%)8.2%
Memory size1.1 KiB
False
460 
(Missing)
 
41
ValueCountFrequency (%)
False 460
91.8%
(Missing) 41
 
8.2%
2024-04-06T19:31:28.735722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.1%
Missing51
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean4.1311111
Minimum0
Maximum13
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-06T19:31:28.878024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q35
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4609486
Coefficient of variation (CV)0.59571108
Kurtosis0.61988912
Mean4.1311111
Median Absolute Deviation (MAD)1
Skewness1.1459242
Sum1859
Variance6.0562683
MonotonicityNot monotonic
2024-04-06T19:31:29.121027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 144
28.7%
2 99
19.8%
4 58
11.6%
8 31
 
6.2%
5 25
 
5.0%
6 23
 
4.6%
7 19
 
3.8%
9 17
 
3.4%
10 13
 
2.6%
1 10
 
2.0%
Other values (4) 11
 
2.2%
(Missing) 51
 
10.2%
ValueCountFrequency (%)
0 6
 
1.2%
1 10
 
2.0%
2 99
19.8%
3 144
28.7%
4 58
11.6%
5 25
 
5.0%
6 23
 
4.6%
7 19
 
3.8%
8 31
 
6.2%
9 17
 
3.4%
ValueCountFrequency (%)
13 2
 
0.4%
12 1
 
0.2%
11 2
 
0.4%
10 13
 
2.6%
9 17
 
3.4%
8 31
6.2%
7 19
 
3.8%
6 23
 
4.6%
5 25
5.0%
4 58
11.6%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing501
Missing (%)100.0%
Memory size4.5 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
470 
임대
 
31

Length

Max length4
Median length4
Mean length3.8762475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 470
93.8%
임대 31
 
6.2%

Length

2024-04-06T19:31:29.384837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:29.644619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 470
93.8%
임대 31
 
6.2%

세탁기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
402 
0
99 

Length

Max length4
Median length4
Mean length3.4071856
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 402
80.2%
0 99
 
19.8%

Length

2024-04-06T19:31:30.028184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:30.242484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
80.2%
0 99
 
19.8%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
446 
0
48 
1
 
6
2
 
1

Length

Max length4
Median length4
Mean length3.6706587
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 446
89.0%
0 48
 
9.6%
1 6
 
1.2%
2 1
 
0.2%

Length

2024-04-06T19:31:30.396893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:30.622995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 446
89.0%
0 48
 
9.6%
1 6
 
1.2%
2 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
446 
0
 
29
1
 
24
2
 
2

Length

Max length4
Median length4
Mean length3.6706587
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 446
89.0%
0 29
 
5.8%
1 24
 
4.8%
2 2
 
0.4%

Length

2024-04-06T19:31:30.856730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:31.079243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 446
89.0%
0 29
 
5.8%
1 24
 
4.8%
2 2
 
0.4%

회수건조수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
411 
0
90 

Length

Max length4
Median length4
Mean length3.4610778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 411
82.0%
0 90
 
18.0%

Length

2024-04-06T19:31:31.299893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:31.496056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 411
82.0%
0 90
 
18.0%

침대수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
412 
0
89 

Length

Max length4
Median length4
Mean length3.4670659
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 412
82.2%
0 89
 
17.8%

Length

2024-04-06T19:31:31.680188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:31:31.849882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
82.2%
0 89
 
17.8%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing36
Missing (%)7.2%
Memory size1.1 KiB
False
465 
(Missing)
 
36
ValueCountFrequency (%)
False 465
92.8%
(Missing) 36
 
7.2%
2024-04-06T19:31:31.980087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030400003040000-203-1963-0012519630408<NA>1영업/정상1영업<NA><NA><NA><NA>02 450439936.99143800서울특별시 광진구 광장동 21서울특별시 광진구 워커힐로 177 (광장동)4963워커힐이용2022-08-08 16:33:45U2021-12-07 23:01:00.0일반이용업209766.973556450385.000714<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130400003040000-203-1968-0017619680722<NA>3폐업2폐업20181001<NA><NA><NA>02 450476521.42143800서울특별시 광진구 광장동 21번지서울특별시 광진구 워커힐로 177 (광장동)4963워커힐구내이용2018-10-01 14:29:04U2018-10-03 02:35:54.0일반이용업209766.973556450385.000714일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
230400003040000-203-1970-0021219701221<NA>3폐업2폐업20210607<NA><NA><NA>02 462448623.1143837서울특별시 광진구 군자동 49-1 (1층)서울특별시 광진구 면목로 26 (군자동,(1층))4996성심이용2021-06-07 09:24:35U2021-06-09 02:40:00.0일반이용업206664.850964450464.599813일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
330400003040000-203-1970-0136819700814<NA>3폐업2폐업20090501<NA><NA><NA>02 467976116.8143839서울특별시 광진구 군자동 102-13번지<NA><NA>정훈이용2003-07-04 00:00:00I2018-08-31 23:59:59.0일반이용업206226.550478450006.217158일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
430400003040000-203-1972-0024519720406<NA>3폐업2폐업20020927<NA><NA><NA><NA>51.31143903서울특별시 광진구 중곡동 241-24번지<NA><NA>충무로2003-03-20 00:00:00I2018-08-31 23:59:59.0일반이용업207037.5009451206.10696일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N9<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
530400003040000-203-1972-0135919721208<NA>3폐업2폐업19970415<NA><NA><NA>02 452824328.8143806서울특별시 광진구 광장동 280-3번지<NA><NA>문화이용2001-11-29 00:00:00I2018-08-31 23:59:59.0일반이용업209259.992545449514.534073일반이용업000<NA>0<NA>000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
630400003040000-203-1972-0137119721017<NA>3폐업2폐업20210712<NA><NA><NA>02 452622112.32143847서울특별시 광진구 능동 320-36서울특별시 광진구 능동로32길 16 (능동)4989주택이용2021-07-12 11:53:11U2021-07-14 02:40:00.0일반이용업206940.355315450308.221396일반이용업000000000N2<NA><NA><NA><NA>00000N
730400003040000-203-1972-0139619720812<NA>3폐업2폐업19970421<NA><NA><NA>02 463920826.09143915서울특별시 광진구 화양동 16-1번지<NA><NA>조광이용2001-11-29 00:00:00I2018-08-31 23:59:59.0일반이용업206129.246254449348.419503일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
830400003040000-203-1973-0016619730112<NA>3폐업2폐업19960521<NA><NA><NA>02 497896415.66143917서울특별시 광진구 화양동 47-41번지<NA><NA>정원이용2001-11-29 00:00:00I2018-08-31 23:59:59.0일반이용업205971.575801448972.943106일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
930400003040000-203-1973-0139519731107<NA>3폐업2폐업20030514<NA><NA><NA>02 466172012.23143840서울특별시 광진구 군자동 346-22번지<NA><NA>장안이용2003-05-14 00:00:00I2018-08-31 23:59:59.0일반이용업206168.205128449716.021289일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
49130400003040000-203-2023-0000120230106<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.0143904서울특별시 광진구 중곡동 255-43서울특별시 광진구 동일로68길 38, 1층 (중곡동)4916데스페라도2023-01-06 17:05:34I2022-12-01 00:08:00.0일반이용업206804.506957451106.968413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49230400003040000-203-2023-000022023-04-03<NA>3폐업2폐업2023-11-29<NA><NA><NA>02 499 7637130.0143-841서울특별시 광진구 자양동 7-17 성용빌딩서울특별시 광진구 아차산로 226, 성용빌딩 6층 (자양동)5073닥터모락2023-11-29 10:38:34U2022-11-02 00:01:00.0일반이용업205979.8208448684.21665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49330400003040000-203-2023-000032023-05-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.05143-903서울특별시 광진구 중곡동 239-44서울특별시 광진구 긴고랑로7길 9, 1층 (중곡동)4912스트롱맨2023-05-25 15:19:23I2022-12-04 22:07:00.0일반이용업206931.026099451289.84422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49430400003040000-203-2023-000042023-06-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.0143-866서울특별시 광진구 자양동 625-13 우진빌딩서울특별시 광진구 뚝섬로51길 57, 우진빌딩 1층 (자양동)5057쵸리(CHORI)2023-06-02 14:57:51I2022-12-06 00:04:00.0일반이용업207120.065105448063.649804<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49530400003040000-203-2023-000052023-06-09<NA>3폐업2폐업2023-11-16<NA><NA><NA><NA>10.0143-852서울특별시 광진구 자양동 223-9서울특별시 광진구 아차산로40길 9-1, 1층 (자양동)5054레드폴바버샵 건대점2023-11-16 15:28:39U2022-10-31 23:08:00.0일반이용업206877.977355448317.605731<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49630400003040000-203-2023-000062023-11-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.5143-821서울특별시 광진구 구의동 201-14서울특별시 광진구 광나루로52길 10, 1층 (구의동)5034뿐이 염색방2023-11-02 16:47:30I2022-11-01 00:04:00.0일반이용업208303.365852448790.608094<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49730400003040000-203-2023-000072023-12-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.0143-849서울특별시 광진구 능동 243-1서울특별시 광진구 천호대로118길 40, 1층 (능동)4988페이즈 바버샵2023-12-18 13:49:02I2022-11-01 22:00:00.0일반이용업207397.494135450083.722745<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49830400003040000-203-2024-000012024-01-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.83143-862서울특별시 광진구 자양동 553-365서울특별시 광진구 뚝섬로32길 5, 1층 (자양동)5085데이라이트 바버샵2024-01-29 14:14:56I2023-11-30 21:01:00.0일반이용업205891.016583448109.411877<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
49930400003040000-203-2024-000022024-02-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>14.92143-873서울특별시 광진구 자양동 667-27 1층서울특별시 광진구 자양로3길 39, 1층 (자양동)5105진환브로2024-02-01 09:57:43I2023-12-02 00:03:00.0일반이용업207398.110665447541.028214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50030400003040000-203-2024-000032024-03-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0143-822서울특별시 광진구 구의동 210-53서울특별시 광진구 광나루로52길 88, 1층 103호 (구의동)50461991바버샵2024-03-18 18:00:54I2023-12-02 22:00:00.0일반이용업207992.132672448571.570564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>