Overview

Dataset statistics

Number of variables47
Number of observations746
Missing cells8005
Missing cells (%)22.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory295.2 KiB
Average record size in memory405.2 B

Variable types

Categorical19
Text6
DateTime4
Unsupported7
Numeric9
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17942/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (55.1%)Imbalance
사용끝지하층 is highly imbalanced (64.7%)Imbalance
발한실여부 is highly imbalanced (98.4%)Imbalance
건물소유구분명 is highly imbalanced (52.4%)Imbalance
여성종사자수 is highly imbalanced (72.3%)Imbalance
남성종사자수 is highly imbalanced (76.5%)Imbalance
인허가취소일자 has 746 (100.0%) missing valuesMissing
폐업일자 has 124 (16.6%) missing valuesMissing
휴업시작일자 has 746 (100.0%) missing valuesMissing
휴업종료일자 has 746 (100.0%) missing valuesMissing
재개업일자 has 746 (100.0%) missing valuesMissing
전화번호 has 164 (22.0%) missing valuesMissing
도로명주소 has 465 (62.3%) missing valuesMissing
도로명우편번호 has 468 (62.7%) missing valuesMissing
좌표정보(X) has 38 (5.1%) missing valuesMissing
좌표정보(Y) has 38 (5.1%) missing valuesMissing
건물지상층수 has 170 (22.8%) missing valuesMissing
건물지하층수 has 241 (32.3%) missing valuesMissing
사용시작지상층 has 272 (36.5%) missing valuesMissing
사용끝지상층 has 563 (75.5%) missing valuesMissing
발한실여부 has 78 (10.5%) missing valuesMissing
좌석수 has 92 (12.3%) missing valuesMissing
조건부허가신고사유 has 746 (100.0%) missing valuesMissing
조건부허가시작일자 has 746 (100.0%) missing valuesMissing
조건부허가종료일자 has 746 (100.0%) missing valuesMissing
다중이용업소여부 has 70 (9.4%) 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 17 (2.3%) zerosZeros
건물지상층수 has 257 (34.5%) zerosZeros
건물지하층수 has 298 (39.9%) zerosZeros
사용시작지상층 has 218 (29.2%) zerosZeros
사용끝지상층 has 26 (3.5%) zerosZeros
좌석수 has 24 (3.2%) zerosZeros

Reproduction

Analysis started2024-04-29 19:31:08.048379
Analysis finished2024-04-29 19:31:09.121693
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3150000
746 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 746
100.0%

Length

2024-04-30T04:31:09.183616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:09.258108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 746
100.0%

관리번호
Text

UNIQUE 

Distinct746
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T04:31:09.411632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters16412
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

Unique746 ?
Unique (%)100.0%

Sample

1st row3150000-203-1955-01205
2nd row3150000-203-1968-01202
3rd row3150000-203-1970-01213
4th row3150000-203-1970-01267
5th row3150000-203-1971-01215
ValueCountFrequency (%)
3150000-203-1955-01205 1
 
0.1%
3150000-203-2004-00005 1
 
0.1%
3150000-203-2003-00037 1
 
0.1%
3150000-203-2003-00038 1
 
0.1%
3150000-203-2004-00018 1
 
0.1%
3150000-203-2003-00039 1
 
0.1%
3150000-203-2003-00040 1
 
0.1%
3150000-203-2004-00001 1
 
0.1%
3150000-203-2004-00002 1
 
0.1%
3150000-203-2004-00003 1
 
0.1%
Other values (736) 736
98.7%
2024-04-30T04:31:09.704151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6173
37.6%
- 2238
 
13.6%
1 2048
 
12.5%
3 1739
 
10.6%
2 1490
 
9.1%
5 952
 
5.8%
9 810
 
4.9%
8 348
 
2.1%
4 216
 
1.3%
6 215
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14174
86.4%
Dash Punctuation 2238
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6173
43.6%
1 2048
 
14.4%
3 1739
 
12.3%
2 1490
 
10.5%
5 952
 
6.7%
9 810
 
5.7%
8 348
 
2.5%
4 216
 
1.5%
6 215
 
1.5%
7 183
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6173
37.6%
- 2238
 
13.6%
1 2048
 
12.5%
3 1739
 
10.6%
2 1490
 
9.1%
5 952
 
5.8%
9 810
 
4.9%
8 348
 
2.1%
4 216
 
1.3%
6 215
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6173
37.6%
- 2238
 
13.6%
1 2048
 
12.5%
3 1739
 
10.6%
2 1490
 
9.1%
5 952
 
5.8%
9 810
 
4.9%
8 348
 
2.1%
4 216
 
1.3%
6 215
 
1.3%

인허가일자
Date

Distinct679
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum1955-04-23 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T04:31:09.837084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:09.941799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
3
622 
1
124 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 622
83.4%
1 124
 
16.6%

Length

2024-04-30T04:31:10.036837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:10.125701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 622
83.4%
1 124
 
16.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업
622 
영업/정상
124 

Length

Max length5
Median length2
Mean length2.4986595
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 622
83.4%
영업/정상 124
 
16.6%

Length

2024-04-30T04:31:10.215313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:10.314578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 622
83.4%
영업/정상 124
 
16.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2
622 
1
124 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 622
83.4%
1 124
 
16.6%

Length

2024-04-30T04:31:10.413100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:10.495696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 622
83.4%
1 124
 
16.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
폐업
622 
영업
124 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 622
83.4%
영업 124
 
16.6%

Length

2024-04-30T04:31:10.591795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:10.680668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 622
83.4%
영업 124
 
16.6%

폐업일자
Date

MISSING 

Distinct542
Distinct (%)87.1%
Missing124
Missing (%)16.6%
Memory size6.0 KiB
Minimum1993-01-28 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:31:10.778916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:10.884815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

전화번호
Text

MISSING 

Distinct502
Distinct (%)86.3%
Missing164
Missing (%)22.0%
Memory size6.0 KiB
2024-04-30T04:31:11.071026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8728522
Min length2

Characters and Unicode

Total characters5746
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

Unique466 ?
Unique (%)80.1%

Sample

1st row02 00000
2nd row02 00000
3rd row0226627668
4th row0226933978
5th row02 6637439
ValueCountFrequency (%)
02 182
 
24.1%
00000 18
 
2.4%
0200000000 10
 
1.3%
0 8
 
1.1%
0236652576 3
 
0.4%
050713552899 3
 
0.4%
0226039012 3
 
0.4%
0226039314 3
 
0.4%
0226647262 2
 
0.3%
0226055825 2
 
0.3%
Other values (496) 522
69.0%
2024-04-30T04:31:11.381842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1144
19.9%
0 1126
19.6%
6 997
17.4%
3 429
 
7.5%
9 355
 
6.2%
5 347
 
6.0%
4 323
 
5.6%
1 277
 
4.8%
8 269
 
4.7%
247
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5499
95.7%
Space Separator 247
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1144
20.8%
0 1126
20.5%
6 997
18.1%
3 429
 
7.8%
9 355
 
6.5%
5 347
 
6.3%
4 323
 
5.9%
1 277
 
5.0%
8 269
 
4.9%
7 232
 
4.2%
Space Separator
ValueCountFrequency (%)
247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1144
19.9%
0 1126
19.6%
6 997
17.4%
3 429
 
7.5%
9 355
 
6.2%
5 347
 
6.0%
4 323
 
5.6%
1 277
 
4.8%
8 269
 
4.7%
247
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1144
19.9%
0 1126
19.6%
6 997
17.4%
3 429
 
7.5%
9 355
 
6.2%
5 347
 
6.0%
4 323
 
5.6%
1 277
 
4.8%
8 269
 
4.7%
247
 
4.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct426
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.42256
Minimum0
Maximum223.3
Zeros17
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:11.523883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q112
median21.125
Q337.0375
95-th percentile92.1725
Maximum223.3
Range223.3
Interquartile range (IQR)25.0375

Descriptive statistics

Standard deviation30.976748
Coefficient of variation (CV)0.98581234
Kurtosis7.6113362
Mean31.42256
Median Absolute Deviation (MAD)10.675
Skewness2.483336
Sum23441.23
Variance959.5589
MonotonicityNot monotonic
2024-04-30T04:31:11.660127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 21
 
2.8%
0.0 17
 
2.3%
33.0 14
 
1.9%
20.0 12
 
1.6%
12.0 11
 
1.5%
15.0 11
 
1.5%
25.0 10
 
1.3%
30.0 10
 
1.3%
6.6 9
 
1.2%
16.0 9
 
1.2%
Other values (416) 622
83.4%
ValueCountFrequency (%)
0.0 17
2.3%
1.92 1
 
0.1%
3.0 1
 
0.1%
3.3 2
 
0.3%
4.14 1
 
0.1%
4.6 2
 
0.3%
5.0 5
 
0.7%
5.13 1
 
0.1%
5.44 1
 
0.1%
5.6 1
 
0.1%
ValueCountFrequency (%)
223.3 1
 
0.1%
198.0 1
 
0.1%
181.5 1
 
0.1%
178.2 1
 
0.1%
165.0 5
0.7%
161.0 2
 
0.3%
148.5 1
 
0.1%
138.6 1
 
0.1%
132.0 7
0.9%
128.7 1
 
0.1%

소재지우편번호
Text

Distinct120
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T04:31:11.868676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.038874
Min length6

Characters and Unicode

Total characters4505
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

Unique36 ?
Unique (%)4.8%

Sample

1st row157915
2nd row157290
3rd row157811
4th row157895
5th row157811
ValueCountFrequency (%)
157930 35
 
4.7%
157280 31
 
4.2%
157910 26
 
3.5%
157210 23
 
3.1%
157846 21
 
2.8%
157884 21
 
2.8%
157847 20
 
2.7%
157851 18
 
2.4%
157812 17
 
2.3%
157853 17
 
2.3%
Other values (110) 517
69.3%
2024-04-30T04:31:12.171687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 967
21.5%
5 860
19.1%
7 832
18.5%
8 612
13.6%
9 293
 
6.5%
0 286
 
6.3%
2 214
 
4.8%
3 140
 
3.1%
4 139
 
3.1%
6 133
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4476
99.4%
Dash Punctuation 29
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 967
21.6%
5 860
19.2%
7 832
18.6%
8 612
13.7%
9 293
 
6.5%
0 286
 
6.4%
2 214
 
4.8%
3 140
 
3.1%
4 139
 
3.1%
6 133
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 967
21.5%
5 860
19.1%
7 832
18.5%
8 612
13.6%
9 293
 
6.5%
0 286
 
6.3%
2 214
 
4.8%
3 140
 
3.1%
4 139
 
3.1%
6 133
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 967
21.5%
5 860
19.1%
7 832
18.5%
8 612
13.6%
9 293
 
6.5%
0 286
 
6.3%
2 214
 
4.8%
3 140
 
3.1%
4 139
 
3.1%
6 133
 
3.0%

지번주소
Text

Distinct650
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T04:31:12.377335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length24.727882
Min length18

Characters and Unicode

Total characters18447
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique577 ?
Unique (%)77.3%

Sample

1st row서울특별시 강서구 화곡동 980-16번지
2nd row서울특별시 강서구 외발산동 산 177-29번지
3rd row서울특별시 강서구 공항동 18-51번지
4th row서울특별시 강서구 화곡동 29-177번지
5th row서울특별시 강서구 공항동 4-12번지
ValueCountFrequency (%)
서울특별시 746
22.1%
강서구 746
22.1%
화곡동 324
 
9.6%
방화동 124
 
3.7%
등촌동 89
 
2.6%
내발산동 50
 
1.5%
공항동 47
 
1.4%
염창동 44
 
1.3%
1층 38
 
1.1%
가양동 33
 
1.0%
Other values (765) 1130
33.5%
2024-04-30T04:31:12.692648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3273
17.7%
서 1500
 
8.1%
1 773
 
4.2%
동 768
 
4.2%
강 755
 
4.1%
시 750
 
4.1%
구 746
 
4.0%
울 746
 
4.0%
별 746
 
4.0%
특 746
 
4.0%
Other values (198) 7644
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10631
57.6%
Decimal Number 3746
 
20.3%
Space Separator 3273
 
17.7%
Dash Punctuation 686
 
3.7%
Open Punctuation 38
 
0.2%
Close Punctuation 38
 
0.2%
Uppercase Letter 22
 
0.1%
Other Punctuation 8
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1500
14.1%
동 768
 
7.2%
강 755
 
7.1%
시 750
 
7.1%
구 746
 
7.0%
울 746
 
7.0%
별 746
 
7.0%
특 746
 
7.0%
지 725
 
6.8%
번 627
 
5.9%
Other values (172) 2522
23.7%
Decimal Number
ValueCountFrequency (%)
1 773
20.6%
2 480
12.8%
0 366
9.8%
6 320
8.5%
5 318
8.5%
7 315
8.4%
3 309
 
8.2%
4 296
 
7.9%
9 289
 
7.7%
8 280
 
7.5%
Uppercase Letter
ValueCountFrequency (%)
B 12
54.5%
A 3
 
13.6%
W 3
 
13.6%
D 2
 
9.1%
T 1
 
4.5%
P 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 3
37.5%
. 2
25.0%
@ 2
25.0%
/ 1
 
12.5%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 686
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10631
57.6%
Common 7789
42.2%
Latin 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1500
14.1%
동 768
 
7.2%
강 755
 
7.1%
시 750
 
7.1%
구 746
 
7.0%
울 746
 
7.0%
별 746
 
7.0%
특 746
 
7.0%
지 725
 
6.8%
번 627
 
5.9%
Other values (172) 2522
23.7%
Common
ValueCountFrequency (%)
3273
42.0%
1 773
 
9.9%
- 686
 
8.8%
2 480
 
6.2%
0 366
 
4.7%
6 320
 
4.1%
5 318
 
4.1%
7 315
 
4.0%
3 309
 
4.0%
4 296
 
3.8%
Other values (8) 653
 
8.4%
Latin
ValueCountFrequency (%)
B 12
44.4%
Ⅲ 4
 
14.8%
A 3
 
11.1%
W 3
 
11.1%
D 2
 
7.4%
Ⅰ 1
 
3.7%
T 1
 
3.7%
P 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10631
57.6%
ASCII 7811
42.3%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3273
41.9%
1 773
 
9.9%
- 686
 
8.8%
2 480
 
6.1%
0 366
 
4.7%
6 320
 
4.1%
5 318
 
4.1%
7 315
 
4.0%
3 309
 
4.0%
4 296
 
3.8%
Other values (14) 675
 
8.6%
Hangul
ValueCountFrequency (%)
서 1500
14.1%
동 768
 
7.2%
강 755
 
7.1%
시 750
 
7.1%
구 746
 
7.0%
울 746
 
7.0%
별 746
 
7.0%
특 746
 
7.0%
지 725
 
6.8%
번 627
 
5.9%
Other values (172) 2522
23.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅰ 1
 
20.0%

도로명주소
Text

MISSING 

Distinct270
Distinct (%)96.1%
Missing465
Missing (%)62.3%
Memory size6.0 KiB
2024-04-30T04:31:12.900703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length31.754448
Min length22

Characters and Unicode

Total characters8923
Distinct characters202
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)92.5%

Sample

1st row서울특별시 강서구 공항대로7다길 15 (공항동)
2nd row서울특별시 강서구 까치산로15길 6, 1층 (화곡동)
3rd row서울특별시 강서구 금낭화로11길 24-25 (방화동)
4th row서울특별시 강서구 방화동로 18-10 (공항동)
5th row서울특별시 강서구 개화동로29길 52 (방화동)
ValueCountFrequency (%)
서울특별시 281
 
16.4%
강서구 281
 
16.4%
화곡동 95
 
5.5%
1층 51
 
3.0%
방화동 42
 
2.4%
마곡동 27
 
1.6%
2층 21
 
1.2%
강서로 18
 
1.0%
양천로 17
 
1.0%
등촌동 16
 
0.9%
Other values (458) 866
50.5%
2024-04-30T04:31:13.262601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1435
 
16.1%
서 624
 
7.0%
1 344
 
3.9%
강 338
 
3.8%
동 320
 
3.6%
( 296
 
3.3%
) 296
 
3.3%
시 283
 
3.2%
로 283
 
3.2%
구 281
 
3.1%
Other values (192) 4423
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5265
59.0%
Space Separator 1435
 
16.1%
Decimal Number 1363
 
15.3%
Open Punctuation 296
 
3.3%
Close Punctuation 296
 
3.3%
Other Punctuation 214
 
2.4%
Dash Punctuation 34
 
0.4%
Uppercase Letter 15
 
0.2%
Letter Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 624
 
11.9%
강 338
 
6.4%
동 320
 
6.1%
시 283
 
5.4%
로 283
 
5.4%
구 281
 
5.3%
울 281
 
5.3%
특 281
 
5.3%
별 281
 
5.3%
화 229
 
4.3%
Other values (169) 2064
39.2%
Decimal Number
ValueCountFrequency (%)
1 344
25.2%
2 198
14.5%
3 142
10.4%
4 138
10.1%
0 123
 
9.0%
5 112
 
8.2%
6 107
 
7.9%
7 85
 
6.2%
8 58
 
4.3%
9 56
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
53.3%
W 3
 
20.0%
A 2
 
13.3%
C 1
 
6.7%
D 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 212
99.1%
@ 2
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5265
59.0%
Common 3638
40.8%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 624
 
11.9%
강 338
 
6.4%
동 320
 
6.1%
시 283
 
5.4%
로 283
 
5.4%
구 281
 
5.3%
울 281
 
5.3%
특 281
 
5.3%
별 281
 
5.3%
화 229
 
4.3%
Other values (169) 2064
39.2%
Common
ValueCountFrequency (%)
1435
39.4%
1 344
 
9.5%
( 296
 
8.1%
) 296
 
8.1%
, 212
 
5.8%
2 198
 
5.4%
3 142
 
3.9%
4 138
 
3.8%
0 123
 
3.4%
5 112
 
3.1%
Other values (6) 342
 
9.4%
Latin
ValueCountFrequency (%)
B 8
40.0%
Ⅲ 4
20.0%
W 3
 
15.0%
A 2
 
10.0%
Ⅰ 1
 
5.0%
C 1
 
5.0%
D 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5265
59.0%
ASCII 3653
40.9%
Number Forms 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1435
39.3%
1 344
 
9.4%
( 296
 
8.1%
) 296
 
8.1%
, 212
 
5.8%
2 198
 
5.4%
3 142
 
3.9%
4 138
 
3.8%
0 123
 
3.4%
5 112
 
3.1%
Other values (11) 357
 
9.8%
Hangul
ValueCountFrequency (%)
서 624
 
11.9%
강 338
 
6.4%
동 320
 
6.1%
시 283
 
5.4%
로 283
 
5.4%
구 281
 
5.3%
울 281
 
5.3%
특 281
 
5.3%
별 281
 
5.3%
화 229
 
4.3%
Other values (169) 2064
39.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅰ 1
 
20.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)50.4%
Missing468
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean7661.6835
Minimum7505
Maximum7807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:13.373952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7516
Q17593.5
median7651
Q37739.75
95-th percentile7803
Maximum7807
Range302
Interquartile range (IQR)146.25

Descriptive statistics

Standard deviation91.133776
Coefficient of variation (CV)0.011894746
Kurtosis-1.2282421
Mean7661.6835
Median Absolute Deviation (MAD)80.5
Skewness-0.013298714
Sum2129948
Variance8305.3651
MonotonicityNot monotonic
2024-04-30T04:31:13.500601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7604 9
 
1.2%
7803 7
 
0.9%
7738 7
 
0.9%
7776 6
 
0.8%
7639 6
 
0.8%
7620 5
 
0.7%
7694 5
 
0.7%
7616 4
 
0.5%
7718 4
 
0.5%
7603 4
 
0.5%
Other values (130) 221
29.6%
(Missing) 468
62.7%
ValueCountFrequency (%)
7505 3
0.4%
7506 3
0.4%
7510 2
0.3%
7511 3
0.4%
7516 4
0.5%
7517 1
 
0.1%
7519 1
 
0.1%
7523 1
 
0.1%
7524 2
0.3%
7525 1
 
0.1%
ValueCountFrequency (%)
7807 4
0.5%
7806 4
0.5%
7803 7
0.9%
7801 3
0.4%
7798 1
 
0.1%
7792 1
 
0.1%
7791 1
 
0.1%
7788 2
 
0.3%
7787 2
 
0.3%
7785 1
 
0.1%

사업장명
Text

Distinct598
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-30T04:31:13.765227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length4.6233244
Min length1

Characters and Unicode

Total characters3449
Distinct characters350
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

Unique508 ?
Unique (%)68.1%

Sample

1st row강서구청구내
2nd row진우
3rd row경호
4th row제일
5th row긴등이용원
ValueCountFrequency (%)
바버샵 14
 
1.6%
이용실 14
 
1.6%
내 13
 
1.5%
이용원 12
 
1.4%
엉클부스 11
 
1.3%
마곡점 9
 
1.0%
이발실 9
 
1.0%
대성 7
 
0.8%
중앙 7
 
0.8%
태후사랑 7
 
0.8%
Other values (600) 755
88.0%
2024-04-30T04:31:14.320409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 330
 
9.6%
용 207
 
6.0%
원 195
 
5.7%
112
 
3.2%
발 106
 
3.1%
우 73
 
2.1%
성 72
 
2.1%
관 69
 
2.0%
사 67
 
1.9%
나 67
 
1.9%
Other values (340) 2151
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3193
92.6%
Space Separator 112
 
3.2%
Lowercase Letter 70
 
2.0%
Uppercase Letter 26
 
0.8%
Decimal Number 16
 
0.5%
Close Punctuation 13
 
0.4%
Open Punctuation 13
 
0.4%
Other Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 330
 
10.3%
용 207
 
6.5%
원 195
 
6.1%
발 106
 
3.3%
우 73
 
2.3%
성 72
 
2.3%
관 69
 
2.2%
사 67
 
2.1%
나 67
 
2.1%
대 45
 
1.4%
Other values (290) 1962
61.4%
Lowercase Letter
ValueCountFrequency (%)
r 9
12.9%
e 9
12.9%
b 7
10.0%
s 7
10.0%
o 6
8.6%
a 6
8.6%
p 6
8.6%
h 5
7.1%
l 3
 
4.3%
g 2
 
2.9%
Other values (8) 10
14.3%
Uppercase Letter
ValueCountFrequency (%)
O 4
15.4%
B 3
 
11.5%
E 2
 
7.7%
M 2
 
7.7%
I 2
 
7.7%
P 1
 
3.8%
J 1
 
3.8%
Y 1
 
3.8%
Z 1
 
3.8%
A 1
 
3.8%
Other values (8) 8
30.8%
Decimal Number
ValueCountFrequency (%)
1 5
31.2%
2 4
25.0%
5 2
 
12.5%
3 2
 
12.5%
6 1
 
6.2%
7 1
 
6.2%
9 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
# 1
 
20.0%
! 1
 
20.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3193
92.6%
Common 160
 
4.6%
Latin 96
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 330
 
10.3%
용 207
 
6.5%
원 195
 
6.1%
발 106
 
3.3%
우 73
 
2.3%
성 72
 
2.3%
관 69
 
2.2%
사 67
 
2.1%
나 67
 
2.1%
대 45
 
1.4%
Other values (290) 1962
61.4%
Latin
ValueCountFrequency (%)
r 9
 
9.4%
e 9
 
9.4%
b 7
 
7.3%
s 7
 
7.3%
o 6
 
6.2%
a 6
 
6.2%
p 6
 
6.2%
h 5
 
5.2%
O 4
 
4.2%
B 3
 
3.1%
Other values (26) 34
35.4%
Common
ValueCountFrequency (%)
112
70.0%
) 13
 
8.1%
( 13
 
8.1%
1 5
 
3.1%
2 4
 
2.5%
. 3
 
1.9%
5 2
 
1.2%
3 2
 
1.2%
# 1
 
0.6%
6 1
 
0.6%
Other values (4) 4
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3193
92.6%
ASCII 256
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 330
 
10.3%
용 207
 
6.5%
원 195
 
6.1%
발 106
 
3.3%
우 73
 
2.3%
성 72
 
2.3%
관 69
 
2.2%
사 67
 
2.1%
나 67
 
2.1%
대 45
 
1.4%
Other values (290) 1962
61.4%
ASCII
ValueCountFrequency (%)
112
43.8%
) 13
 
5.1%
( 13
 
5.1%
r 9
 
3.5%
e 9
 
3.5%
b 7
 
2.7%
s 7
 
2.7%
o 6
 
2.3%
a 6
 
2.3%
p 6
 
2.3%
Other values (40) 68
26.6%

최종수정일자
Date

Distinct494
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum1999-03-25 00:00:00
Maximum2024-04-23 12:50:50
2024-04-30T04:31:14.442597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:14.582411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
I
630 
U
116 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 630
84.5%
U 116
 
15.5%

Length

2024-04-30T04:31:14.712080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:14.809723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 630
84.5%
u 116
 
15.5%

데이터갱신일자
Date

Distinct118
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:31:14.917079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:31:15.044369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
일반이용업
746 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 746
100.0%

Length

2024-04-30T04:31:15.146653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:15.222324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 746
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct521
Distinct (%)73.6%
Missing38
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean185782.54
Minimum182824.24
Maximum189200.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:15.314881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182824.24
5-th percentile183130.3
Q1184761.86
median185973.37
Q3186837.41
95-th percentile188107.74
Maximum189200.15
Range6375.9086
Interquartile range (IQR)2075.5497

Descriptive statistics

Standard deviation1602.0047
Coefficient of variation (CV)0.00862301
Kurtosis-0.72851556
Mean185782.54
Median Absolute Deviation (MAD)899.01589
Skewness-0.26069203
Sum1.3153404 × 108
Variance2566419
MonotonicityNot monotonic
2024-04-30T04:31:15.458353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183497.40879228 6
 
0.8%
186135.637365199 6
 
0.8%
186800.193947236 6
 
0.8%
183090.805509245 5
 
0.7%
186332.679945287 5
 
0.7%
186446.957858838 5
 
0.7%
187137.650939893 5
 
0.7%
185509.165465662 4
 
0.5%
186421.936113757 4
 
0.5%
182952.663773451 4
 
0.5%
Other values (511) 658
88.2%
(Missing) 38
 
5.1%
ValueCountFrequency (%)
182824.239159965 1
 
0.1%
182846.62641593 1
 
0.1%
182895.668483962 2
0.3%
182914.598086861 2
0.3%
182914.770762913 2
0.3%
182952.663773451 4
0.5%
182965.529 1
 
0.1%
182974.850127567 3
0.4%
182987.898184342 1
 
0.1%
182988.912846535 1
 
0.1%
ValueCountFrequency (%)
189200.147733153 4
0.5%
189172.250232972 3
0.4%
189098.806779959 1
 
0.1%
189003.872396936 1
 
0.1%
188963.907416791 1
 
0.1%
188954.187154407 1
 
0.1%
188872.058097899 3
0.4%
188843.428976776 1
 
0.1%
188816.811575852 2
0.3%
188798.189527387 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct521
Distinct (%)73.6%
Missing38
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean449861.27
Minimum447326.55
Maximum453939.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:15.568222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447326.55
5-th percentile447538.03
Q1448451.36
median449946.6
Q3451072.54
95-th percentile452268.26
Maximum453939.8
Range6613.2501
Interquartile range (IQR)2621.1816

Descriptive statistics

Standard deviation1534.9936
Coefficient of variation (CV)0.0034121488
Kurtosis-1.0670561
Mean449861.27
Median Absolute Deviation (MAD)1194.2175
Skewness0.027957083
Sum3.1850178 × 108
Variance2356205.3
MonotonicityNot monotonic
2024-04-30T04:31:15.713940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452268.261985956 6
 
0.8%
447558.373870105 6
 
0.8%
449680.272769723 6
 
0.8%
452349.671029508 5
 
0.7%
447538.027901623 5
 
0.7%
449074.434672889 5
 
0.7%
447456.838723466 5
 
0.7%
449450.069694741 4
 
0.5%
448937.573544023 4
 
0.5%
451103.634437619 4
 
0.5%
Other values (511) 658
88.2%
(Missing) 38
 
5.1%
ValueCountFrequency (%)
447326.548615694 1
0.1%
447328.54126812 1
0.1%
447358.969239764 1
0.1%
447365.949089839 1
0.1%
447366.893967728 1
0.1%
447379.884364587 1
0.1%
447381.257869472 1
0.1%
447381.645907113 1
0.1%
447401.82054211 1
0.1%
447406.124515211 1
0.1%
ValueCountFrequency (%)
453939.798700209 1
0.1%
453595.387945696 1
0.1%
452922.98039021 1
0.1%
452906.521290095 1
0.1%
452817.469477897 1
0.1%
452802.574950725 1
0.1%
452801.707821111 1
0.1%
452713.505241493 2
0.3%
452609.747794827 2
0.3%
452514.491608298 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
일반이용업
676 
<NA>
70 

Length

Max length5
Median length5
Mean length4.9061662
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 676
90.6%
<NA> 70
 
9.4%

Length

2024-04-30T04:31:15.838620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:15.922229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 676
90.6%
na 70
 
9.4%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.4%
Missing170
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean2.0381944
Minimum0
Maximum16
Zeros257
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:15.996039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile7
Maximum16
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4942228
Coefficient of variation (CV)1.2237413
Kurtosis4.0822197
Mean2.0381944
Median Absolute Deviation (MAD)2
Skewness1.7142786
Sum1174
Variance6.2211473
MonotonicityNot monotonic
2024-04-30T04:31:16.086101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 257
34.5%
3 116
15.5%
2 75
 
10.1%
4 47
 
6.3%
5 21
 
2.8%
1 17
 
2.3%
6 10
 
1.3%
8 9
 
1.2%
9 7
 
0.9%
10 7
 
0.9%
Other values (4) 10
 
1.3%
(Missing) 170
22.8%
ValueCountFrequency (%)
0 257
34.5%
1 17
 
2.3%
2 75
 
10.1%
3 116
15.5%
4 47
 
6.3%
5 21
 
2.8%
6 10
 
1.3%
7 5
 
0.7%
8 9
 
1.2%
9 7
 
0.9%
ValueCountFrequency (%)
16 1
 
0.1%
14 1
 
0.1%
12 3
 
0.4%
10 7
 
0.9%
9 7
 
0.9%
8 9
 
1.2%
7 5
 
0.7%
6 10
 
1.3%
5 21
2.8%
4 47
6.3%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.2%
Missing241
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean0.4970297
Minimum0
Maximum5
Zeros298
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:16.183606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.74301716
Coefficient of variation (CV)1.494915
Kurtosis8.427457
Mean0.4970297
Median Absolute Deviation (MAD)0
Skewness2.3703315
Sum251
Variance0.55207449
MonotonicityNot monotonic
2024-04-30T04:31:16.269583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 298
39.9%
1 185
24.8%
2 9
 
1.2%
4 7
 
0.9%
3 5
 
0.7%
5 1
 
0.1%
(Missing) 241
32.3%
ValueCountFrequency (%)
0 298
39.9%
1 185
24.8%
2 9
 
1.2%
3 5
 
0.7%
4 7
 
0.9%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 7
 
0.9%
3 5
 
0.7%
2 9
 
1.2%
1 185
24.8%
0 298
39.9%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.7%
Missing272
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean0.84810127
Minimum0
Maximum8
Zeros218
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:16.360457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0832799
Coefficient of variation (CV)1.2773002
Kurtosis9.7179618
Mean0.84810127
Median Absolute Deviation (MAD)1
Skewness2.3392021
Sum402
Variance1.1734953
MonotonicityNot monotonic
2024-04-30T04:31:16.451287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 218
29.2%
1 159
21.3%
2 72
 
9.7%
3 15
 
2.0%
4 4
 
0.5%
5 2
 
0.3%
6 2
 
0.3%
8 2
 
0.3%
(Missing) 272
36.5%
ValueCountFrequency (%)
0 218
29.2%
1 159
21.3%
2 72
 
9.7%
3 15
 
2.0%
4 4
 
0.5%
5 2
 
0.3%
6 2
 
0.3%
8 2
 
0.3%
ValueCountFrequency (%)
8 2
 
0.3%
6 2
 
0.3%
5 2
 
0.3%
4 4
 
0.5%
3 15
 
2.0%
2 72
 
9.7%
1 159
21.3%
0 218
29.2%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)5.5%
Missing563
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean3.0382514
Minimum0
Maximum206
Zeros26
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:16.555722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum206
Range206
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.892474
Coefficient of variation (CV)5.5599329
Kurtosis122.2531
Mean3.0382514
Median Absolute Deviation (MAD)0
Skewness10.784887
Sum556
Variance285.35567
MonotonicityNot monotonic
2024-04-30T04:31:16.643666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 96
 
12.9%
2 43
 
5.8%
0 26
 
3.5%
3 10
 
1.3%
8 2
 
0.3%
4 2
 
0.3%
5 1
 
0.1%
6 1
 
0.1%
206 1
 
0.1%
103 1
 
0.1%
(Missing) 563
75.5%
ValueCountFrequency (%)
0 26
 
3.5%
1 96
12.9%
2 43
5.8%
3 10
 
1.3%
4 2
 
0.3%
5 1
 
0.1%
6 1
 
0.1%
8 2
 
0.3%
103 1
 
0.1%
206 1
 
0.1%
ValueCountFrequency (%)
206 1
 
0.1%
103 1
 
0.1%
8 2
 
0.3%
6 1
 
0.1%
5 1
 
0.1%
4 2
 
0.3%
3 10
 
1.3%
2 43
5.8%
1 96
12.9%
0 26
 
3.5%

사용시작지하층
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
371 
0
251 
1
115 
2
 
8
4
 
1

Length

Max length4
Median length1
Mean length2.4919571
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 371
49.7%
0 251
33.6%
1 115
 
15.4%
2 8
 
1.1%
4 1
 
0.1%

Length

2024-04-30T04:31:16.750155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:16.852921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 371
49.7%
0 251
33.6%
1 115
 
15.4%
2 8
 
1.1%
4 1
 
0.1%

사용끝지하층
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
625 
1
80 
0
 
37
2
 
3
4
 
1

Length

Max length4
Median length4
Mean length3.5134048
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 625
83.8%
1 80
 
10.7%
0 37
 
5.0%
2 3
 
0.4%
4 1
 
0.1%

Length

2024-04-30T04:31:16.952774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:17.055855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 625
83.8%
1 80
 
10.7%
0 37
 
5.0%
2 3
 
0.4%
4 1
 
0.1%

한실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
376 
<NA>
370 

Length

Max length4
Median length1
Mean length2.4879357
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 376
50.4%
<NA> 370
49.6%

Length

2024-04-30T04:31:17.170792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:17.258424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 376
50.4%
na 370
49.6%

양실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
376 
<NA>
370 

Length

Max length4
Median length1
Mean length2.4879357
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 376
50.4%
<NA> 370
49.6%

Length

2024-04-30T04:31:17.344522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:17.446900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 376
50.4%
na 370
49.6%

욕실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
376 
<NA>
370 

Length

Max length4
Median length1
Mean length2.4879357
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 376
50.4%
<NA> 370
49.6%

Length

2024-04-30T04:31:17.548343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:17.647453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 376
50.4%
na 370
49.6%

발한실여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.3%
Missing78
Missing (%)10.5%
Memory size1.6 KiB
False
667 
True
 
1
(Missing)
78 
ValueCountFrequency (%)
False 667
89.4%
True 1
 
0.1%
(Missing) 78
 
10.5%
2024-04-30T04:31:17.724252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.0%
Missing92
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean3.6681957
Minimum0
Maximum13
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-30T04:31:17.823216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8.35
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3312901
Coefficient of variation (CV)0.63554136
Kurtosis0.84938844
Mean3.6681957
Median Absolute Deviation (MAD)1
Skewness1.0973718
Sum2399
Variance5.4349134
MonotonicityNot monotonic
2024-04-30T04:31:17.944427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 170
22.8%
2 168
22.5%
4 82
11.0%
5 41
 
5.5%
1 41
 
5.5%
6 38
 
5.1%
8 33
 
4.4%
7 24
 
3.2%
0 24
 
3.2%
9 19
 
2.5%
Other values (3) 14
 
1.9%
(Missing) 92
12.3%
ValueCountFrequency (%)
0 24
 
3.2%
1 41
 
5.5%
2 168
22.5%
3 170
22.8%
4 82
11.0%
5 41
 
5.5%
6 38
 
5.1%
7 24
 
3.2%
8 33
 
4.4%
9 19
 
2.5%
ValueCountFrequency (%)
13 1
 
0.1%
11 5
 
0.7%
10 8
 
1.1%
9 19
 
2.5%
8 33
 
4.4%
7 24
 
3.2%
6 38
 
5.1%
5 41
 
5.5%
4 82
11.0%
3 170
22.8%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing746
Missing (%)100.0%
Memory size6.7 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
589 
임대
156 
자가
 
1

Length

Max length4
Median length4
Mean length3.5790885
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 589
79.0%
임대 156
 
20.9%
자가 1
 
0.1%

Length

2024-04-30T04:31:18.052878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:18.144782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 589
79.0%
임대 156
 
20.9%
자가 1
 
0.1%

세탁기수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
598 
0
148 

Length

Max length4
Median length4
Mean length3.4048257
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> 598
80.2%
0 148
 
19.8%

Length

2024-04-30T04:31:18.243234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:18.331945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 598
80.2%
0 148
 
19.8%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
682 
0
 
62
1
 
2

Length

Max length4
Median length4
Mean length3.7426273
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> 682
91.4%
0 62
 
8.3%
1 2
 
0.3%

Length

2024-04-30T04:31:18.417747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:18.502221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 682
91.4%
0 62
 
8.3%
1 2
 
0.3%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
682 
0
 
57
1
 
6
3
 
1

Length

Max length4
Median length4
Mean length3.7426273
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 682
91.4%
0 57
 
7.6%
1 6
 
0.8%
3 1
 
0.1%

Length

2024-04-30T04:31:18.792123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:18.874847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 682
91.4%
0 57
 
7.6%
1 6
 
0.8%
3 1
 
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
615 
0
131 

Length

Max length4
Median length4
Mean length3.4731903
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> 615
82.4%
0 131
 
17.6%

Length

2024-04-30T04:31:18.970878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:19.077810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 615
82.4%
0 131
 
17.6%

침대수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
617 
0
129 

Length

Max length4
Median length4
Mean length3.4812332
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> 617
82.7%
0 129
 
17.3%

Length

2024-04-30T04:31:19.173676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:31:19.270027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 617
82.7%
0 129
 
17.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing70
Missing (%)9.4%
Memory size1.6 KiB
False
676 
(Missing)
70 
ValueCountFrequency (%)
False 676
90.6%
(Missing) 70
 
9.4%
2024-04-30T04:31:19.337656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031500003150000-203-1955-0120519550423<NA>3폐업2폐업19950615<NA><NA><NA>02 0000038.0157915서울특별시 강서구 화곡동 980-16번지<NA><NA>강서구청구내2002-08-19 00:00:00I2018-08-31 23:59:59.0일반이용업186645.815384449856.896042일반이용업000<NA>0<NA>000N6<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
131500003150000-203-1968-0120219681014<NA>3폐업2폐업19950313<NA><NA><NA>02 0000015.04157290서울특별시 강서구 외발산동 산 177-29번지<NA><NA>진우2002-08-19 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
231500003150000-203-1970-0121319700603<NA>1영업/정상1영업<NA><NA><NA><NA>022662766818.0157811서울특별시 강서구 공항동 18-51번지서울특별시 강서구 공항대로7다길 15 (공항동)7619경호2017-11-30 15:09:41I2018-08-31 23:59:59.0일반이용업183417.981681451262.719682일반이용업201<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
331500003150000-203-1970-0126719700801<NA>1영업/정상1영업<NA><NA><NA><NA>022693397826.0157895서울특별시 강서구 화곡동 29-177번지서울특별시 강서구 까치산로15길 6, 1층 (화곡동)7678제일2015-07-02 09:49:56I2018-08-31 23:59:59.0일반이용업186499.095556449411.089698일반이용업2<NA>11<NA><NA><NA><NA><NA>N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
431500003150000-203-1971-0121519710626<NA>3폐업2폐업20090819<NA><NA><NA>02 663743912.25157811서울특별시 강서구 공항동 4-12번지<NA><NA>긴등이용원2003-06-05 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업1<NA>11<NA><NA><NA><NA><NA>N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
531500003150000-203-1971-0121619711001<NA>3폐업2폐업20010904<NA><NA><NA>02 663072611.18157811서울특별시 강서구 공항동 14-21번지<NA><NA>성서2001-09-05 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
631500003150000-203-1971-0131219710416<NA>3폐업2폐업20021120<NA><NA><NA>02 690751423.88157869서울특별시 강서구 화곡동 73-11번지<NA><NA>역말2002-11-21 00:00:00I2018-08-31 23:59:59.0일반이용업186348.959228449571.940226일반이용업201<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
731500003150000-203-1972-0120319720713<NA>3폐업2폐업20010720<NA><NA><NA>0228.35157801서울특별시 강서구 가양동 92-0번지<NA><NA>미풍구내2001-08-06 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
831500003150000-203-1972-0121719720920<NA>1영업/정상1영업<NA><NA><NA><NA>022662069819.8157851서울특별시 강서구 방화동 593-84번지서울특별시 강서구 금낭화로11길 24-25 (방화동)7609도형2014-08-27 16:41:05I2018-08-31 23:59:59.0일반이용업183143.855524452019.281243일반이용업3<NA>11<NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
931500003150000-203-1973-0122119730329<NA>3폐업2폐업20021108<NA><NA><NA>02 665294726.04157851서울특별시 강서구 방화동 606-6번지<NA><NA>용해2003-01-03 00:00:00I2018-08-31 23:59:59.0일반이용업183347.784103451557.278588일반이용업101<NA>0<NA>000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
73631500003150000-203-2023-000042023-06-28<NA>1영업/정상1영업<NA><NA><NA><NA>022620688154.49157-290서울특별시 강서구 외발산동 254-5서울특별시 강서구 남부순환로 274, 제5602부대 2층 (외발산동)7506sunny#2023-06-28 10:37:48I2022-12-05 21:00:00.0일반이용업184008.284737448994.114273<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73731500003150000-203-2023-000052023-08-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>44.63157-210서울특별시 강서구 마곡동 799-2 푸리마타워서울특별시 강서구 공항대로 190, 푸리마타워 210호 (마곡동)7631젠틀핑크 바버샵2023-08-29 14:06:21I2022-12-07 21:01:00.0일반이용업184785.483494450767.258355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73831500003150000-203-2023-000062023-09-12<NA>3폐업2폐업2023-12-07<NA><NA><NA><NA>8.2157-010서울특별시 강서구 화곡동 1165-1 강서힐스테이트서울특별시 강서구 강서로 242, 지하 101(일부)호 (화곡동, 강서힐스테이트)7694우장산 불가마 사우나 내 실면도실2023-12-07 16:48:12U2022-11-02 00:09:00.0일반이용업185509.165466449450.069695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73931500003150000-203-2023-000072023-09-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>73.54157-210서울특별시 강서구 마곡동 773-3 힐스테이트에코동익서울특별시 강서구 공항대로 195, 힐스테이트에코동익 2층 222호 (마곡동)7801은결하다2023-09-18 14:05:03I2022-12-08 22:00:00.0일반이용업184835.390794450858.680912<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74031500003150000-203-2023-000082023-10-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>21.99157-210서울특별시 강서구 마곡동 773 힐스테이트에코마곡역서울특별시 강서구 마곡중앙로 76, 힐스테이트에코마곡역 3층 324호 (마곡동)7801큐사랑 마곡점2023-10-30 15:00:03I2022-11-01 00:01:00.0일반이용업184691.008477450919.92508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74131500003150000-203-2023-000092023-12-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0157-851서울특별시 강서구 방화동 594-33서울특별시 강서구 금낭화로 44, 1층 (방화동)7607우리이발관2023-12-26 10:45:32I2022-11-01 22:08:00.0일반이용업183309.364561451907.32956<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74231500003150000-203-2024-000012024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.0157-883서울특별시 강서구 화곡동 355-3서울특별시 강서구 곰달래로15길 31, 1층 우측호 (화곡동)7766아르떼 살롱 이루다 3652024-03-19 11:58:34U2023-12-02 22:01:00.0일반이용업185742.463858447715.259069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74331500003150000-203-2024-000022024-04-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0157-894서울특별시 강서구 화곡동 464-8 궁전빌딩 3층남탕호서울특별시 강서구 곰달래로49길 86, 궁전빌딩 3층 남탕호 (화곡동)7737궁전이용실2024-04-03 09:22:16I2023-12-04 00:05:00.0일반이용업187204.703073448110.630532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74431500003150000-203-2024-000032024-04-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.4157-889서울특별시 강서구 화곡동 409-248 화곡미성아파트 상가동 203호서울특별시 강서구 초록마을로 176, 상가동 2층 3호 (화곡동, 화곡미성아파트)7729헤어컷트전문2024-04-09 14:58:13I2023-12-03 23:01:00.0일반이용업186220.14138448200.932831<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74531500003150000-203-2024-000042024-04-19<NA>1영업/정상1영업<NA><NA><NA><NA>022661582827.56157-210서울특별시 강서구 마곡동 798-4 마곡에스비타워Ⅲ서울특별시 강서구 마곡서로 56, 마곡에스비타워Ⅲ 111호 (마곡동)7807엉클부스 마곡점2024-04-19 13:28:25I2023-12-03 22:01:00.0일반이용업184373.253419450762.76276<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>