Overview

Dataset statistics

Number of variables47
Number of observations550
Missing cells5329
Missing cells (%)20.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory217.7 KiB
Average record size in memory405.2 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric7
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17938/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (56.1%)Imbalance
사용끝지상층 is highly imbalanced (52.2%)Imbalance
사용끝지하층 is highly imbalanced (56.0%)Imbalance
건물소유구분명 is highly imbalanced (63.2%)Imbalance
여성종사자수 is highly imbalanced (70.0%)Imbalance
남성종사자수 is highly imbalanced (68.8%)Imbalance
인허가취소일자 has 550 (100.0%) missing valuesMissing
폐업일자 has 120 (21.8%) missing valuesMissing
휴업시작일자 has 550 (100.0%) missing valuesMissing
휴업종료일자 has 550 (100.0%) missing valuesMissing
재개업일자 has 550 (100.0%) missing valuesMissing
전화번호 has 151 (27.5%) missing valuesMissing
도로명주소 has 293 (53.3%) missing valuesMissing
도로명우편번호 has 298 (54.2%) missing valuesMissing
좌표정보(X) has 98 (17.8%) missing valuesMissing
좌표정보(Y) has 98 (17.8%) missing valuesMissing
건물지상층수 has 124 (22.5%) missing valuesMissing
건물지하층수 has 132 (24.0%) missing valuesMissing
발한실여부 has 55 (10.0%) missing valuesMissing
좌석수 has 60 (10.9%) missing valuesMissing
조건부허가신고사유 has 550 (100.0%) missing valuesMissing
조건부허가시작일자 has 550 (100.0%) missing valuesMissing
조건부허가종료일자 has 550 (100.0%) missing valuesMissing
다중이용업소여부 has 50 (9.1%) 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 7 (1.3%) zerosZeros
건물지상층수 has 353 (64.2%) zerosZeros
건물지하층수 has 365 (66.4%) zerosZeros

Reproduction

Analysis started2024-04-17 19:44:50.256361
Analysis finished2024-04-17 19:44:50.885886
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3110000
550 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 550
100.0%

Length

2024-04-18T04:44:50.932988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:50.999421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 550
100.0%

관리번호
Text

UNIQUE 

Distinct550
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-18T04:44:51.129573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters12100
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

Unique550 ?
Unique (%)100.0%

Sample

1st row3110000-203-1965-01277
2nd row3110000-203-1967-01242
3rd row3110000-203-1967-01306
4th row3110000-203-1968-01237
5th row3110000-203-1968-01331
ValueCountFrequency (%)
3110000-203-1965-01277 1
 
0.2%
3110000-203-2004-00022 1
 
0.2%
3110000-203-2003-00022 1
 
0.2%
3110000-203-2004-00027 1
 
0.2%
3110000-203-2004-00026 1
 
0.2%
3110000-203-2004-00025 1
 
0.2%
3110000-203-2004-00024 1
 
0.2%
3110000-203-2004-00023 1
 
0.2%
3110000-203-2003-00004 1
 
0.2%
3110000-203-2003-00003 1
 
0.2%
Other values (540) 540
98.2%
2024-04-18T04:44:51.372254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4435
36.7%
1 2128
17.6%
- 1650
 
13.6%
3 1343
 
11.1%
2 1089
 
9.0%
9 576
 
4.8%
8 252
 
2.1%
7 170
 
1.4%
4 161
 
1.3%
6 153
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10450
86.4%
Dash Punctuation 1650
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4435
42.4%
1 2128
20.4%
3 1343
 
12.9%
2 1089
 
10.4%
9 576
 
5.5%
8 252
 
2.4%
7 170
 
1.6%
4 161
 
1.5%
6 153
 
1.5%
5 143
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4435
36.7%
1 2128
17.6%
- 1650
 
13.6%
3 1343
 
11.1%
2 1089
 
9.0%
9 576
 
4.8%
8 252
 
2.1%
7 170
 
1.4%
4 161
 
1.3%
6 153
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4435
36.7%
1 2128
17.6%
- 1650
 
13.6%
3 1343
 
11.1%
2 1089
 
9.0%
9 576
 
4.8%
8 252
 
2.1%
7 170
 
1.4%
4 161
 
1.3%
6 153
 
1.3%

인허가일자
Date

Distinct510
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1965-07-02 00:00:00
Maximum2024-02-27 00:00:00
2024-04-18T04:44:51.731276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:44:51.834785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
430 
1
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 430
78.2%
1 120
 
21.8%

Length

2024-04-18T04:44:51.949530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:52.019900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 430
78.2%
1 120
 
21.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
430 
영업/정상
120 

Length

Max length5
Median length2
Mean length2.6545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 430
78.2%
영업/정상 120
 
21.8%

Length

2024-04-18T04:44:52.113773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:52.188799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 430
78.2%
영업/정상 120
 
21.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2
430 
1
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 430
78.2%
1 120
 
21.8%

Length

2024-04-18T04:44:52.262599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:52.332138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 430
78.2%
1 120
 
21.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
430 
영업
120 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 430
78.2%
영업 120
 
21.8%

Length

2024-04-18T04:44:52.405663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:52.482302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 430
78.2%
영업 120
 
21.8%

폐업일자
Date

MISSING 

Distinct372
Distinct (%)86.5%
Missing120
Missing (%)21.8%
Memory size4.4 KiB
Minimum1996-12-26 00:00:00
Maximum2024-03-15 00:00:00
2024-04-18T04:44:52.565373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:44:52.660494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

전화번호
Text

MISSING 

Distinct366
Distinct (%)91.7%
Missing151
Missing (%)27.5%
Memory size4.4 KiB
2024-04-18T04:44:52.875225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6892231
Min length2

Characters and Unicode

Total characters3866
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)88.7%

Sample

1st row02 3039102
2nd row02 3742767
3rd row02 3525733
4th row02 3072177
5th row0203899022
ValueCountFrequency (%)
02 306
43.6%
0200000000 8
 
1.1%
3732580 4
 
0.6%
3575591 3
 
0.4%
3035011 2
 
0.3%
3518464 2
 
0.3%
3862274 2
 
0.3%
3820338 2
 
0.3%
3072396 2
 
0.3%
3839900 2
 
0.3%
Other values (363) 369
52.6%
2024-04-18T04:44:53.205198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 740
19.1%
3 599
15.5%
2 591
15.3%
5 343
8.9%
8 321
8.3%
314
8.1%
7 212
 
5.5%
4 192
 
5.0%
6 191
 
4.9%
1 185
 
4.8%
Other values (2) 178
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3551
91.9%
Space Separator 314
 
8.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 740
20.8%
3 599
16.9%
2 591
16.6%
5 343
9.7%
8 321
9.0%
7 212
 
6.0%
4 192
 
5.4%
6 191
 
5.4%
1 185
 
5.2%
9 177
 
5.0%
Space Separator
ValueCountFrequency (%)
314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 740
19.1%
3 599
15.5%
2 591
15.3%
5 343
8.9%
8 321
8.3%
314
8.1%
7 212
 
5.5%
4 192
 
5.0%
6 191
 
4.9%
1 185
 
4.8%
Other values (2) 178
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 740
19.1%
3 599
15.5%
2 591
15.3%
5 343
8.9%
8 321
8.3%
314
8.1%
7 212
 
5.5%
4 192
 
5.0%
6 191
 
4.9%
1 185
 
4.8%
Other values (2) 178
 
4.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct394
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5134
Minimum0
Maximum141.35
Zeros7
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:53.319794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.127
Q113.1625
median19.8
Q330.54
95-th percentile64.1545
Maximum141.35
Range141.35
Interquartile range (IQR)17.3775

Descriptive statistics

Standard deviation19.163207
Coefficient of variation (CV)0.75110361
Kurtosis5.5462959
Mean25.5134
Median Absolute Deviation (MAD)8.03
Skewness2.045667
Sum14032.37
Variance367.22849
MonotonicityNot monotonic
2024-04-18T04:44:53.421376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 10
 
1.8%
10.0 9
 
1.6%
33.0 9
 
1.6%
23.1 7
 
1.3%
21.0 7
 
1.3%
0.0 7
 
1.3%
8.4 6
 
1.1%
11.5 6
 
1.1%
25.0 6
 
1.1%
6.6 6
 
1.1%
Other values (384) 477
86.7%
ValueCountFrequency (%)
0.0 7
1.3%
1.5 1
 
0.2%
3.3 3
0.5%
3.42 1
 
0.2%
3.6 1
 
0.2%
5.59 1
 
0.2%
5.88 1
 
0.2%
6.0 1
 
0.2%
6.6 6
1.1%
6.84 1
 
0.2%
ValueCountFrequency (%)
141.35 1
0.2%
115.5 1
0.2%
109.94 1
0.2%
104.65 1
0.2%
99.97 1
0.2%
99.0 1
0.2%
93.63 1
0.2%
93.04 1
0.2%
88.35 1
0.2%
87.28 1
0.2%

소재지우편번호
Text

Distinct133
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-18T04:44:53.671138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0581818
Min length6

Characters and Unicode

Total characters3332
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

Unique32 ?
Unique (%)5.8%

Sample

1st row122010
2nd row122-874
3rd row122861
4th row122100
5th row122837
ValueCountFrequency (%)
122200 29
 
5.3%
122010 19
 
3.5%
122908 18
 
3.3%
122842 16
 
2.9%
122837 15
 
2.7%
122924 12
 
2.2%
122882 12
 
2.2%
122900 12
 
2.2%
122919 11
 
2.0%
122813 11
 
2.0%
Other values (123) 395
71.8%
2024-04-18T04:44:54.041511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1251
37.5%
1 668
20.0%
8 387
 
11.6%
0 356
 
10.7%
9 246
 
7.4%
3 118
 
3.5%
4 84
 
2.5%
7 82
 
2.5%
5 70
 
2.1%
6 38
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3300
99.0%
Dash Punctuation 32
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1251
37.9%
1 668
20.2%
8 387
 
11.7%
0 356
 
10.8%
9 246
 
7.5%
3 118
 
3.6%
4 84
 
2.5%
7 82
 
2.5%
5 70
 
2.1%
6 38
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3332
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1251
37.5%
1 668
20.0%
8 387
 
11.6%
0 356
 
10.7%
9 246
 
7.4%
3 118
 
3.5%
4 84
 
2.5%
7 82
 
2.5%
5 70
 
2.1%
6 38
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1251
37.5%
1 668
20.0%
8 387
 
11.6%
0 356
 
10.7%
9 246
 
7.4%
3 118
 
3.5%
4 84
 
2.5%
7 82
 
2.5%
5 70
 
2.1%
6 38
 
1.1%

지번주소
Text

Distinct528
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-18T04:44:54.211167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length24.42
Min length17

Characters and Unicode

Total characters13431
Distinct characters153
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

Unique509 ?
Unique (%)92.5%

Sample

1st row서울특별시 은평구 응암동 257-35번지
2nd row서울특별시 은평구 수색동 179-15
3rd row서울특별시 은평구 불광동 328-1번지
4th row서울특별시 은평구 증산동 산 14-3번지
5th row서울특별시 은평구 대조동 14-25번지
ValueCountFrequency (%)
서울특별시 550
21.6%
은평구 550
21.6%
응암동 125
 
4.9%
산 72
 
2.8%
갈현동 67
 
2.6%
불광동 66
 
2.6%
대조동 56
 
2.2%
역촌동 53
 
2.1%
녹번동 48
 
1.9%
신사동 46
 
1.8%
Other values (593) 919
36.0%
2024-04-18T04:44:54.480443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2489
18.5%
1 623
 
4.6%
구 576
 
4.3%
은 566
 
4.2%
평 563
 
4.2%
동 561
 
4.2%
울 552
 
4.1%
지 552
 
4.1%
서 552
 
4.1%
시 552
 
4.1%
Other values (143) 5845
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7771
57.9%
Decimal Number 2531
 
18.8%
Space Separator 2489
 
18.5%
Dash Punctuation 521
 
3.9%
Open Punctuation 48
 
0.4%
Close Punctuation 47
 
0.3%
Other Punctuation 12
 
0.1%
Uppercase Letter 11
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 576
 
7.4%
은 566
 
7.3%
평 563
 
7.2%
동 561
 
7.2%
울 552
 
7.1%
지 552
 
7.1%
서 552
 
7.1%
시 552
 
7.1%
별 550
 
7.1%
특 550
 
7.1%
Other values (124) 2197
28.3%
Decimal Number
ValueCountFrequency (%)
1 623
24.6%
2 312
12.3%
3 280
11.1%
4 256
10.1%
5 206
 
8.1%
0 195
 
7.7%
9 191
 
7.5%
6 164
 
6.5%
8 160
 
6.3%
7 144
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 9
81.8%
A 1
 
9.1%
G 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 521
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7771
57.9%
Common 5648
42.1%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 576
 
7.4%
은 566
 
7.3%
평 563
 
7.2%
동 561
 
7.2%
울 552
 
7.1%
지 552
 
7.1%
서 552
 
7.1%
시 552
 
7.1%
별 550
 
7.1%
특 550
 
7.1%
Other values (124) 2197
28.3%
Common
ValueCountFrequency (%)
2489
44.1%
1 623
 
11.0%
- 521
 
9.2%
2 312
 
5.5%
3 280
 
5.0%
4 256
 
4.5%
5 206
 
3.6%
0 195
 
3.5%
9 191
 
3.4%
6 164
 
2.9%
Other values (5) 411
 
7.3%
Latin
ValueCountFrequency (%)
B 9
75.0%
e 1
 
8.3%
A 1
 
8.3%
G 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7771
57.9%
ASCII 5660
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2489
44.0%
1 623
 
11.0%
- 521
 
9.2%
2 312
 
5.5%
3 280
 
4.9%
4 256
 
4.5%
5 206
 
3.6%
0 195
 
3.4%
9 191
 
3.4%
6 164
 
2.9%
Other values (9) 423
 
7.5%
Hangul
ValueCountFrequency (%)
구 576
 
7.4%
은 566
 
7.3%
평 563
 
7.2%
동 561
 
7.2%
울 552
 
7.1%
지 552
 
7.1%
서 552
 
7.1%
시 552
 
7.1%
별 550
 
7.1%
특 550
 
7.1%
Other values (124) 2197
28.3%

도로명주소
Text

MISSING 

Distinct250
Distinct (%)97.3%
Missing293
Missing (%)53.3%
Memory size4.4 KiB
2024-04-18T04:44:54.730747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length29.898833
Min length22

Characters and Unicode

Total characters7684
Distinct characters144
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

Unique244 ?
Unique (%)94.9%

Sample

1st row서울특별시 은평구 은평터널로 36 (수색동)
2nd row서울특별시 은평구 연서로32길 19 (불광동)
3rd row서울특별시 은평구 가좌로5길 22-1 (응암동,외 1필지 지상1층)
4th row서울특별시 은평구 연서로19길 22 (갈현동)
5th row서울특별시 은평구 응암로34가길 4-1 (응암동)
ValueCountFrequency (%)
서울특별시 257
 
16.7%
은평구 257
 
16.7%
응암동 51
 
3.3%
1층 46
 
3.0%
지상1층 35
 
2.3%
갈현동 31
 
2.0%
불광동 28
 
1.8%
녹번동 24
 
1.6%
역촌동 24
 
1.6%
대조동 21
 
1.4%
Other values (366) 765
49.7%
2024-04-18T04:44:55.087194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1282
 
16.7%
1 407
 
5.3%
서 322
 
4.2%
은 303
 
3.9%
평 300
 
3.9%
구 272
 
3.5%
( 266
 
3.5%
) 266
 
3.5%
동 265
 
3.4%
울 258
 
3.4%
Other values (134) 3743
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4421
57.5%
Space Separator 1282
 
16.7%
Decimal Number 1156
 
15.0%
Open Punctuation 266
 
3.5%
Close Punctuation 266
 
3.5%
Other Punctuation 203
 
2.6%
Dash Punctuation 75
 
1.0%
Uppercase Letter 14
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 322
 
7.3%
은 303
 
6.9%
평 300
 
6.8%
구 272
 
6.2%
동 265
 
6.0%
울 258
 
5.8%
시 258
 
5.8%
별 257
 
5.8%
특 257
 
5.8%
로 249
 
5.6%
Other values (117) 1680
38.0%
Decimal Number
ValueCountFrequency (%)
1 407
35.2%
2 194
16.8%
3 125
 
10.8%
0 82
 
7.1%
8 63
 
5.4%
6 62
 
5.4%
7 61
 
5.3%
4 58
 
5.0%
9 52
 
4.5%
5 52
 
4.5%
Space Separator
ValueCountFrequency (%)
1282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Other Punctuation
ValueCountFrequency (%)
, 203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4421
57.5%
Common 3248
42.3%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 322
 
7.3%
은 303
 
6.9%
평 300
 
6.8%
구 272
 
6.2%
동 265
 
6.0%
울 258
 
5.8%
시 258
 
5.8%
별 257
 
5.8%
특 257
 
5.8%
로 249
 
5.6%
Other values (117) 1680
38.0%
Common
ValueCountFrequency (%)
1282
39.5%
1 407
 
12.5%
( 266
 
8.2%
) 266
 
8.2%
, 203
 
6.2%
2 194
 
6.0%
3 125
 
3.8%
0 82
 
2.5%
- 75
 
2.3%
8 63
 
1.9%
Other values (5) 285
 
8.8%
Latin
ValueCountFrequency (%)
B 14
93.3%
e 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4421
57.5%
ASCII 3263
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1282
39.3%
1 407
 
12.5%
( 266
 
8.2%
) 266
 
8.2%
, 203
 
6.2%
2 194
 
5.9%
3 125
 
3.8%
0 82
 
2.5%
- 75
 
2.3%
8 63
 
1.9%
Other values (7) 300
 
9.2%
Hangul
ValueCountFrequency (%)
서 322
 
7.3%
은 303
 
6.9%
평 300
 
6.8%
구 272
 
6.2%
동 265
 
6.0%
울 258
 
5.8%
시 258
 
5.8%
별 257
 
5.8%
특 257
 
5.8%
로 249
 
5.6%
Other values (117) 1680
38.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)45.2%
Missing298
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean3407.7738
Minimum3301
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:55.197489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3321.55
Q13361
median3407
Q33460.5
95-th percentile3495.45
Maximum3506
Range205
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation56.400394
Coefficient of variation (CV)0.01655051
Kurtosis-1.1954966
Mean3407.7738
Median Absolute Deviation (MAD)52
Skewness-0.034283612
Sum858759
Variance3181.0044
MonotonicityNot monotonic
2024-04-18T04:44:55.295938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3336 11
 
2.0%
3462 10
 
1.8%
3468 6
 
1.1%
3346 6
 
1.1%
3385 6
 
1.1%
3489 5
 
0.9%
3408 5
 
0.9%
3378 5
 
0.9%
3384 4
 
0.7%
3329 4
 
0.7%
Other values (104) 190
34.5%
(Missing) 298
54.2%
ValueCountFrequency (%)
3301 2
0.4%
3304 1
0.2%
3310 1
0.2%
3311 2
0.4%
3312 1
0.2%
3314 1
0.2%
3315 1
0.2%
3319 1
0.2%
3320 1
0.2%
3321 2
0.4%
ValueCountFrequency (%)
3506 3
0.5%
3502 1
 
0.2%
3501 1
 
0.2%
3499 3
0.5%
3497 3
0.5%
3496 2
 
0.4%
3495 1
 
0.2%
3489 5
0.9%
3487 2
 
0.4%
3485 4
0.7%

사업장명
Text

Distinct444
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-04-18T04:44:55.489411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length5
Mean length5.5890909
Min length1

Characters and Unicode

Total characters3074
Distinct characters307
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique378 ?
Unique (%)68.7%

Sample

1st row평화이용원
2nd row신흥이용원
3rd row대흥이용원
4th row장수탕내이용원
5th row장안이용원
ValueCountFrequency (%)
이용원 12
 
1.9%
바버샵 10
 
1.6%
명성이용원 9
 
1.5%
오땡큐 8
 
1.3%
수정이용원 6
 
1.0%
대성이용원 5
 
0.8%
금성이용원 5
 
0.8%
새서울이용원 4
 
0.6%
연신내점 4
 
0.6%
태양이용원 4
 
0.6%
Other values (460) 550
89.1%
2024-04-18T04:44:55.795008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 426
 
13.9%
용 371
 
12.1%
원 364
 
11.8%
68
 
2.2%
내 66
 
2.1%
성 62
 
2.0%
탕 58
 
1.9%
발 46
 
1.5%
수 42
 
1.4%
신 38
 
1.2%
Other values (297) 1533
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2911
94.7%
Space Separator 68
 
2.2%
Lowercase Letter 62
 
2.0%
Uppercase Letter 17
 
0.6%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Decimal Number 5
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 426
 
14.6%
용 371
 
12.7%
원 364
 
12.5%
내 66
 
2.3%
성 62
 
2.1%
탕 58
 
2.0%
발 46
 
1.6%
수 42
 
1.4%
신 38
 
1.3%
명 36
 
1.2%
Other values (265) 1402
48.2%
Lowercase Letter
ValueCountFrequency (%)
r 11
17.7%
e 9
14.5%
o 7
11.3%
b 6
9.7%
s 5
8.1%
y 4
 
6.5%
a 4
 
6.5%
h 4
 
6.5%
p 4
 
6.5%
l 4
 
6.5%
Other values (3) 4
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
17.6%
I 2
11.8%
H 2
11.8%
G 2
11.8%
V 1
 
5.9%
N 1
 
5.9%
T 1
 
5.9%
Y 1
 
5.9%
O 1
 
5.9%
M 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
8 2
40.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2911
94.7%
Common 84
 
2.7%
Latin 79
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 426
 
14.6%
용 371
 
12.7%
원 364
 
12.5%
내 66
 
2.3%
성 62
 
2.1%
탕 58
 
2.0%
발 46
 
1.6%
수 42
 
1.4%
신 38
 
1.3%
명 36
 
1.2%
Other values (265) 1402
48.2%
Latin
ValueCountFrequency (%)
r 11
13.9%
e 9
11.4%
o 7
 
8.9%
b 6
 
7.6%
s 5
 
6.3%
y 4
 
5.1%
a 4
 
5.1%
h 4
 
5.1%
p 4
 
5.1%
l 4
 
5.1%
Other values (15) 21
26.6%
Common
ValueCountFrequency (%)
68
81.0%
) 5
 
6.0%
( 5
 
6.0%
2 2
 
2.4%
8 2
 
2.4%
? 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2911
94.7%
ASCII 163
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 426
 
14.6%
용 371
 
12.7%
원 364
 
12.5%
내 66
 
2.3%
성 62
 
2.1%
탕 58
 
2.0%
발 46
 
1.6%
수 42
 
1.4%
신 38
 
1.3%
명 36
 
1.2%
Other values (265) 1402
48.2%
ASCII
ValueCountFrequency (%)
68
41.7%
r 11
 
6.7%
e 9
 
5.5%
o 7
 
4.3%
b 6
 
3.7%
) 5
 
3.1%
s 5
 
3.1%
( 5
 
3.1%
y 4
 
2.5%
a 4
 
2.5%
Other values (22) 39
23.9%

최종수정일자
Date

Distinct415
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1999-03-17 00:00:00
Maximum2024-03-21 15:26:27
2024-04-18T04:44:55.900942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:44:56.005976image/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 size4.4 KiB
I
468 
U
82 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 468
85.1%
U 82
 
14.9%

Length

2024-04-18T04:44:56.130109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:56.206276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 468
85.1%
u 82
 
14.9%

데이터갱신일자
Date

Distinct104
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-04-18T04:44:56.283839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:44:56.384535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
일반이용업
550 

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 550
100.0%

Length

2024-04-18T04:44:56.475247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:56.539648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 550
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct360
Distinct (%)79.6%
Missing98
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean192806.48
Minimum189667.93
Maximum196021.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:56.614896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189667.93
5-th percentile191688.22
Q1192415.46
median192795.2
Q3193247.93
95-th percentile193991.95
Maximum196021.88
Range6353.9446
Interquartile range (IQR)832.4661

Descriptive statistics

Standard deviation760.13793
Coefficient of variation (CV)0.0039424916
Kurtosis1.9044962
Mean192806.48
Median Absolute Deviation (MAD)421.49672
Skewness-0.43186551
Sum87148530
Variance577809.67
MonotonicityNot monotonic
2024-04-18T04:44:56.724860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192923.135768384 7
 
1.3%
193138.743580345 7
 
1.3%
193649.944135845 6
 
1.1%
192534.656897366 6
 
1.1%
193247.925118011 5
 
0.9%
192286.886513759 4
 
0.7%
192540.629324418 4
 
0.7%
192635.074173108 3
 
0.5%
192253.567661483 3
 
0.5%
192056.345391964 3
 
0.5%
Other values (350) 404
73.5%
(Missing) 98
 
17.8%
ValueCountFrequency (%)
189667.934230977 1
0.2%
190132.63370852 1
0.2%
190134.410792769 1
0.2%
190325.185652526 1
0.2%
190471.024525621 1
0.2%
190683.969111388 1
0.2%
190689.011197183 1
0.2%
190722.196336247 1
0.2%
190738.96996305 1
0.2%
190747.262077592 2
0.4%
ValueCountFrequency (%)
196021.878792736 1
0.2%
194733.622519405 1
0.2%
194532.418559296 1
0.2%
194321.305354026 1
0.2%
194315.921002489 1
0.2%
194250.635721591 2
0.4%
194242.546453926 1
0.2%
194119.11314618 1
0.2%
194115.680620109 1
0.2%
194101.134591972 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct360
Distinct (%)79.6%
Missing98
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean455956.96
Minimum452965.43
Maximum461254.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:56.826535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452965.43
5-th percentile453662.23
Q1454871.04
median455945.19
Q3456914.07
95-th percentile458145.02
Maximum461254.78
Range8289.3485
Interquartile range (IQR)2043.0328

Descriptive statistics

Standard deviation1505.3151
Coefficient of variation (CV)0.0033014413
Kurtosis0.43510258
Mean455956.96
Median Absolute Deviation (MAD)1019.5385
Skewness0.4467248
Sum2.0609254 × 108
Variance2265973.6
MonotonicityNot monotonic
2024-04-18T04:44:56.931346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454548.951047943 7
 
1.3%
455325.930943773 7
 
1.3%
455596.742641336 6
 
1.1%
456773.714884876 6
 
1.1%
456097.089709812 5
 
0.9%
454822.506700728 4
 
0.7%
456840.395492635 4
 
0.7%
454146.24071029 3
 
0.5%
454871.039873233 3
 
0.5%
456049.868979929 3
 
0.5%
Other values (350) 404
73.5%
(Missing) 98
 
17.8%
ValueCountFrequency (%)
452965.43150519 1
0.2%
452992.137815337 1
0.2%
453085.697386061 1
0.2%
453171.413906762 1
0.2%
453186.447060975 1
0.2%
453360.669714774 1
0.2%
453364.447894042 2
0.4%
453387.990162097 1
0.2%
453401.015292763 1
0.2%
453407.459345861 1
0.2%
ValueCountFrequency (%)
461254.780010717 1
0.2%
461178.501817042 1
0.2%
461144.410174175 1
0.2%
460734.648208213 1
0.2%
460165.655248 2
0.4%
460148.487201372 1
0.2%
459984.431234854 1
0.2%
459983.388470855 1
0.2%
459913.076110867 1
0.2%
459161.535333614 2
0.4%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
일반이용업
500 
<NA>
 
50

Length

Max length5
Median length5
Mean length4.9090909
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 500
90.9%
<NA> 50
 
9.1%

Length

2024-04-18T04:44:57.048733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:57.124223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 500
90.9%
na 50
 
9.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)2.8%
Missing124
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.70657277
Minimum0
Maximum16
Zeros353
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:57.186824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1145555
Coefficient of variation (CV)2.9926932
Kurtosis25.57542
Mean0.70657277
Median Absolute Deviation (MAD)0
Skewness4.5902533
Sum301
Variance4.4713449
MonotonicityNot monotonic
2024-04-18T04:44:57.271859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 353
64.2%
3 24
 
4.4%
2 11
 
2.0%
1 10
 
1.8%
4 10
 
1.8%
5 6
 
1.1%
7 5
 
0.9%
16 2
 
0.4%
15 2
 
0.4%
6 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 124
 
22.5%
ValueCountFrequency (%)
0 353
64.2%
1 10
 
1.8%
2 11
 
2.0%
3 24
 
4.4%
4 10
 
1.8%
5 6
 
1.1%
6 1
 
0.2%
7 5
 
0.9%
11 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
16 2
 
0.4%
15 2
 
0.4%
13 1
 
0.2%
11 1
 
0.2%
7 5
 
0.9%
6 1
 
0.2%
5 6
 
1.1%
4 10
1.8%
3 24
4.4%
2 11
2.0%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.4%
Missing132
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean0.18421053
Minimum0
Maximum5
Zeros365
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:57.355221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.61323491
Coefficient of variation (CV)3.3289895
Kurtosis29.483963
Mean0.18421053
Median Absolute Deviation (MAD)0
Skewness4.9498644
Sum77
Variance0.37605705
MonotonicityNot monotonic
2024-04-18T04:44:57.699500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 365
66.4%
1 43
 
7.8%
4 3
 
0.5%
2 3
 
0.5%
5 2
 
0.4%
3 2
 
0.4%
(Missing) 132
 
24.0%
ValueCountFrequency (%)
0 365
66.4%
1 43
 
7.8%
2 3
 
0.5%
3 2
 
0.4%
4 3
 
0.5%
5 2
 
0.4%
ValueCountFrequency (%)
5 2
 
0.4%
4 3
 
0.5%
3 2
 
0.4%
2 3
 
0.5%
1 43
 
7.8%
0 365
66.4%

사용시작지상층
Categorical

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
0
276 
<NA>
178 
1
77 
2
 
10
3
 
8

Length

Max length4
Median length1
Mean length1.9709091
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 276
50.2%
<NA> 178
32.4%
1 77
 
14.0%
2 10
 
1.8%
3 8
 
1.5%
7 1
 
0.2%

Length

2024-04-18T04:44:57.791076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:57.873734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 276
50.2%
na 178
32.4%
1 77
 
14.0%
2 10
 
1.8%
3 8
 
1.5%
7 1
 
0.2%

사용끝지상층
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
406 
1
75 
0
51 
2
 
10
3
 
7

Length

Max length4
Median length4
Mean length3.2145455
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 406
73.8%
1 75
 
13.6%
0 51
 
9.3%
2 10
 
1.8%
3 7
 
1.3%
7 1
 
0.2%

Length

2024-04-18T04:44:57.959112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:58.040106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 406
73.8%
1 75
 
13.6%
0 51
 
9.3%
2 10
 
1.8%
3 7
 
1.3%
7 1
 
0.2%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
0
299 
<NA>
217 
1
33 
2
 
1

Length

Max length4
Median length1
Mean length2.1836364
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 299
54.4%
<NA> 217
39.5%
1 33
 
6.0%
2 1
 
0.2%

Length

2024-04-18T04:44:58.134331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:58.212784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 299
54.4%
na 217
39.5%
1 33
 
6.0%
2 1
 
0.2%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
445 
0
75 
1
 
29
2
 
1

Length

Max length4
Median length4
Mean length3.4272727
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 445
80.9%
0 75
 
13.6%
1 29
 
5.3%
2 1
 
0.2%

Length

2024-04-18T04:44:58.301126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:58.377794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
80.9%
0 75
 
13.6%
1 29
 
5.3%
2 1
 
0.2%

한실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
0
385 
<NA>
165 

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 385
70.0%
<NA> 165
30.0%

Length

2024-04-18T04:44:58.458495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:58.529525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 385
70.0%
na 165
30.0%

양실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
0
385 
<NA>
165 

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 385
70.0%
<NA> 165
30.0%

Length

2024-04-18T04:44:58.608458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:58.681691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 385
70.0%
na 165
30.0%

욕실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
0
385 
<NA>
165 

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 385
70.0%
<NA> 165
30.0%

Length

2024-04-18T04:44:58.762417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:58.833600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 385
70.0%
na 165
30.0%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing55
Missing (%)10.0%
Memory size1.2 KiB
False
495 
(Missing)
55 
ValueCountFrequency (%)
False 495
90.0%
(Missing) 55
 
10.0%
2024-04-18T04:44:58.889091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)2.7%
Missing60
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.3469388
Minimum0
Maximum12
Zeros5
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-04-18T04:44:58.951357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q12
median3
Q34
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9191322
Coefficient of variation (CV)0.57339925
Kurtosis3.3416669
Mean3.3469388
Median Absolute Deviation (MAD)1
Skewness1.7613301
Sum1640
Variance3.6830683
MonotonicityNot monotonic
2024-04-18T04:44:59.036402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 184
33.5%
2 150
27.3%
4 47
 
8.5%
6 24
 
4.4%
5 21
 
3.8%
1 20
 
3.6%
7 11
 
2.0%
8 10
 
1.8%
9 9
 
1.6%
10 7
 
1.3%
Other values (3) 7
 
1.3%
(Missing) 60
 
10.9%
ValueCountFrequency (%)
0 5
 
0.9%
1 20
 
3.6%
2 150
27.3%
3 184
33.5%
4 47
 
8.5%
5 21
 
3.8%
6 24
 
4.4%
7 11
 
2.0%
8 10
 
1.8%
9 9
 
1.6%
ValueCountFrequency (%)
12 1
 
0.2%
11 1
 
0.2%
10 7
 
1.3%
9 9
 
1.6%
8 10
 
1.8%
7 11
 
2.0%
6 24
 
4.4%
5 21
 
3.8%
4 47
 
8.5%
3 184
33.5%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing550
Missing (%)100.0%
Memory size5.0 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
476 
임대
73 
자가
 
1

Length

Max length4
Median length4
Mean length3.7309091
Min length2

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> 476
86.5%
임대 73
 
13.3%
자가 1
 
0.2%

Length

2024-04-18T04:44:59.135529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:59.213608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 476
86.5%
임대 73
 
13.3%
자가 1
 
0.2%

세탁기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
393 
0
157 

Length

Max length4
Median length4
Mean length3.1436364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 393
71.5%
0 157
 
28.5%

Length

2024-04-18T04:44:59.301880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:59.393129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 393
71.5%
0 157
 
28.5%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
499 
0
 
48
1
 
3

Length

Max length4
Median length4
Mean length3.7218182
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> 499
90.7%
0 48
 
8.7%
1 3
 
0.5%

Length

2024-04-18T04:44:59.491883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:59.589817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 499
90.7%
0 48
 
8.7%
1 3
 
0.5%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
498 
0
 
47
1
 
5

Length

Max length4
Median length4
Mean length3.7163636
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> 498
90.5%
0 47
 
8.5%
1 5
 
0.9%

Length

2024-04-18T04:44:59.671505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:59.747908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 498
90.5%
0 47
 
8.5%
1 5
 
0.9%

회수건조수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
405 
0
145 

Length

Max length4
Median length4
Mean length3.2090909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 405
73.6%
0 145
 
26.4%

Length

2024-04-18T04:44:59.829583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:44:59.900677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 405
73.6%
0 145
 
26.4%

침대수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
406 
0
144 

Length

Max length4
Median length4
Mean length3.2145455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 406
73.8%
0 144
 
26.2%

Length

2024-04-18T04:44:59.978290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:45:00.052013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 406
73.8%
0 144
 
26.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing50
Missing (%)9.1%
Memory size1.2 KiB
False
500 
(Missing)
 
50
ValueCountFrequency (%)
False 500
90.9%
(Missing) 50
 
9.1%
2024-04-18T04:45:00.111089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031100003110000-203-1965-0127719650702<NA>1영업/정상1영업<NA><NA><NA><NA>02 303910229.5122010서울특별시 은평구 응암동 257-35번지<NA><NA>평화이용원2014-06-27 10:34:54I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
131100003110000-203-1967-012421967-06-23<NA>3폐업2폐업2023-06-29<NA><NA><NA>02 374276712.25122-874서울특별시 은평구 수색동 179-15서울특별시 은평구 은평터널로 36 (수색동)3501신흥이용원2023-06-29 11:54:48U2022-12-07 00:01:00.0일반이용업190953.286528453571.788626<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231100003110000-203-1967-0130619670811<NA>1영업/정상1영업<NA><NA><NA><NA>02 352573313.2122861서울특별시 은평구 불광동 328-1번지서울특별시 은평구 연서로32길 19 (불광동)3349대흥이용원2016-05-30 08:36:50I2018-08-31 23:59:59.0일반이용업193257.493502457395.676818일반이용업000000000N2<NA><NA><NA><NA>0<NA><NA>00N
331100003110000-203-1968-0123719680807<NA>3폐업2폐업19990602<NA><NA><NA>02 307217731.35122100서울특별시 은평구 증산동 산 14-3번지<NA><NA>장수탕내이용원1999-06-02 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
431100003110000-203-1968-0133119680217<NA>3폐업2폐업20111101<NA><NA><NA>020389902217.7122837서울특별시 은평구 대조동 14-25번지<NA><NA>장안이용원2011-10-24 13:04:56I2018-08-31 23:59:59.0일반이용업193616.713952456366.273588일반이용업000<NA>0<NA>000N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
531100003110000-203-1968-0139119680325<NA>1영업/정상1영업<NA><NA><NA><NA>02 302821818.56122952서울특별시 은평구 응암동 747-30번지 외 1필지 지상1층서울특별시 은평구 가좌로5길 22-1 (응암동,외 1필지 지상1층)3479신진이용원2014-06-26 11:37:45I2018-08-31 23:59:59.0일반이용업192898.063037453848.060941일반이용업000000000N2<NA><NA><NA><NA>0<NA><NA>00N
631100003110000-203-1969-0129719691128<NA>3폐업2폐업20111025<NA><NA><NA>020384546719.2122825서울특별시 은평구 녹번동 20-36번지<NA><NA>선미이용원2011-10-20 09:56:55I2018-08-31 23:59:59.0일반이용업194321.305354455763.25447일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
731100003110000-203-1969-0130519690813<NA>3폐업2폐업20040216<NA><NA><NA>02 388631916.09122871서울특별시 은평구 불광동 601-3번지<NA><NA>금성이용원2002-02-26 00:00:00I2018-08-31 23:59:59.0일반이용업193967.072874456616.960068일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
831100003110000-203-1970-0123419700324<NA>3폐업2폐업20111028<NA><NA><NA><NA>19.48122875서울특별시 은평구 수색동 289번지<NA><NA>새서울이용원2005-07-12 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
931100003110000-203-1970-0126419700724<NA>3폐업2폐업19990712<NA><NA><NA>02 387371212.0122070서울특별시 은평구 역촌동 산 74-1번지<NA><NA>삼용이용원1999-07-12 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
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
54031100003110000-203-2023-000072023-05-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.75122-895서울특별시 은평구 역촌동 10-4 1층 좌측호서울특별시 은평구 역말로7길 3-2, 1층 좌측호 (역촌동)3401밀레니엄 이용원2023-05-31 15:53:17I2022-12-06 00:02:00.0일반이용업192683.13525456035.423621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54131100003110000-203-2023-000082023-06-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>43.0122-924서울특별시 은평구 응암동 599-94 2층서울특별시 은평구 응암로13길 17, 2층 (응암동)3485휴브리스 바버샵2023-06-08 14:19:22I2022-12-05 23:00:00.0일반이용업192465.413648454091.141073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54231100003110000-203-2023-000092023-06-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.9122-813서울특별시 은평구 갈현동 479-15 제1층 제101호서울특별시 은평구 연서로25길 11-3, 제1층 제101호 (갈현동)3333홀리 몰리 바버샵(Holly Molly Barber Shop)2023-06-09 10:24:21I2022-12-05 23:01:00.0일반이용업192651.684034457148.54539<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54331100003110000-203-2023-000102023-06-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.48122-830서울특별시 은평구 녹번동 100-11 1층 103호서울특별시 은평구 녹번로 37, 1층 103호 (녹번동)3376명성 이용원2023-06-28 13:51:41I2022-12-05 21:00:00.0일반이용업193655.073947455900.922296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54431100003110000-203-2023-000112023-07-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.7122-898서울특별시 은평구 역촌동 34-29 1층 3호서울특별시 은평구 연서로4길 17-1, 1층 3호 (역촌동)3406플라밍고 바버?2023-07-12 10:58:40I2022-12-06 23:04:00.0일반이용업192687.94767455603.265405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54531100003110000-203-2023-000122023-07-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>41.73122-923서울특별시 은평구 응암동 584-53 위산엘리시움서울특별시 은평구 불광천길 410-16, 1층 101호 (응암동, 위산엘리시움)3457네이티브 바버샵2023-07-13 15:04:51I2022-12-06 23:05:00.0일반이용업192473.998207454417.379865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54631100003110000-203-2023-000132023-07-19<NA>3폐업2폐업2023-08-31<NA><NA><NA><NA>42.0122-010서울특별시 은평구 응암동 769 녹번역e편한세상캐슬서울특별시 은평구 은평로 220, 상가 B동 지2층 B107호 (응암동, 녹번역e편한세상캐슬)3472나이스헤어 녹번역점2023-08-31 11:35:10U2022-12-09 00:02:00.0일반이용업193914.648457455188.446842<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54731100003110000-203-2023-000142023-10-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>9.9122-847서울특별시 은평구 불광동 13-9서울특별시 은평구 불광로 136, 수양탕 내 2층 (불광동)3362수양2023-10-11 13:23:35I2022-10-30 23:03:00.0일반이용업194009.388758457402.805623<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54831100003110000-203-2023-000152023-11-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>39.78122-908서울특별시 은평구 응암동 99-22서울특별시 은평구 은평로12길 8-3, 1층 1호 (응암동)3462킹스맨2023-11-06 16:50:15I2022-11-01 00:08:00.0일반이용업193308.162075455311.804287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54931100003110000-203-2024-000012024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.42122-901서울특별시 은평구 역촌동 66-38 호원캐슬서울특별시 은평구 연서로3가길 1, 1층 102호 (역촌동, 호원캐슬)3418젬스톤 바버샵2024-02-27 13:49:06I2023-12-01 22:09:00.0일반이용업192404.447159455590.566203<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>