Overview

Dataset statistics

Number of variables47
Number of observations515
Missing cells5223
Missing cells (%)21.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory203.8 KiB
Average record size in memory405.3 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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17937/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (78.1%)Imbalance
위생업태명 is highly imbalanced (54.7%)Imbalance
사용끝지상층 is highly imbalanced (61.0%)Imbalance
사용끝지하층 is highly imbalanced (56.1%)Imbalance
건물소유구분명 is highly imbalanced (58.2%)Imbalance
여성종사자수 is highly imbalanced (67.7%)Imbalance
남성종사자수 is highly imbalanced (70.1%)Imbalance
인허가취소일자 has 515 (100.0%) missing valuesMissing
폐업일자 has 115 (22.3%) missing valuesMissing
휴업시작일자 has 515 (100.0%) missing valuesMissing
휴업종료일자 has 515 (100.0%) missing valuesMissing
재개업일자 has 515 (100.0%) missing valuesMissing
전화번호 has 92 (17.9%) missing valuesMissing
도로명주소 has 293 (56.9%) missing valuesMissing
도로명우편번호 has 296 (57.5%) missing valuesMissing
좌표정보(X) has 39 (7.6%) missing valuesMissing
좌표정보(Y) has 39 (7.6%) missing valuesMissing
건물지상층수 has 238 (46.2%) missing valuesMissing
사용시작지상층 has 286 (55.5%) missing valuesMissing
발한실여부 has 71 (13.8%) missing valuesMissing
좌석수 has 81 (15.7%) missing valuesMissing
조건부허가신고사유 has 515 (100.0%) missing valuesMissing
조건부허가시작일자 has 515 (100.0%) missing valuesMissing
조건부허가종료일자 has 515 (100.0%) missing valuesMissing
다중이용업소여부 has 68 (13.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 39 (7.6%) zerosZeros
건물지상층수 has 249 (48.3%) zerosZeros
사용시작지상층 has 160 (31.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:39:20.861583
Analysis finished2024-05-11 06:39:22.183197
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3100000
515 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 515
100.0%

Length

2024-05-11T15:39:22.306003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:22.465281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 515
100.0%

관리번호
Text

UNIQUE 

Distinct515
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T15:39:22.755671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters11330
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

Unique515 ?
Unique (%)100.0%

Sample

1st row3100000-203-1968-00123
2nd row3100000-203-1968-00185
3rd row3100000-203-1968-00349
4th row3100000-203-1969-00183
5th row3100000-203-1969-00200
ValueCountFrequency (%)
3100000-203-1968-00123 1
 
0.2%
3100000-203-1997-00393 1
 
0.2%
3100000-203-2003-00008 1
 
0.2%
3100000-203-2003-00007 1
 
0.2%
3100000-203-2003-00006 1
 
0.2%
3100000-203-2003-00005 1
 
0.2%
3100000-203-2003-00004 1
 
0.2%
3100000-203-2003-00003 1
 
0.2%
3100000-203-2003-00002 1
 
0.2%
3100000-203-2003-00001 1
 
0.2%
Other values (505) 505
98.1%
2024-05-11T15:39:23.242516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4843
42.7%
- 1545
 
13.6%
3 1274
 
11.2%
1 1209
 
10.7%
2 1021
 
9.0%
9 650
 
5.7%
8 226
 
2.0%
4 151
 
1.3%
7 148
 
1.3%
6 134
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9785
86.4%
Dash Punctuation 1545
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4843
49.5%
3 1274
 
13.0%
1 1209
 
12.4%
2 1021
 
10.4%
9 650
 
6.6%
8 226
 
2.3%
4 151
 
1.5%
7 148
 
1.5%
6 134
 
1.4%
5 129
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1545
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11330
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4843
42.7%
- 1545
 
13.6%
3 1274
 
11.2%
1 1209
 
10.7%
2 1021
 
9.0%
9 650
 
5.7%
8 226
 
2.0%
4 151
 
1.3%
7 148
 
1.3%
6 134
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4843
42.7%
- 1545
 
13.6%
3 1274
 
11.2%
1 1209
 
10.7%
2 1021
 
9.0%
9 650
 
5.7%
8 226
 
2.0%
4 151
 
1.3%
7 148
 
1.3%
6 134
 
1.2%

인허가일자
Date

Distinct479
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1968-05-24 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T15:39:23.473647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:23.661869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3
400 
1
115 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 400
77.7%
1 115
 
22.3%

Length

2024-05-11T15:39:23.887743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:24.056305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 400
77.7%
1 115
 
22.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
400 
영업/정상
115 

Length

Max length5
Median length2
Mean length2.6699029
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 400
77.7%
영업/정상 115
 
22.3%

Length

2024-05-11T15:39:24.275888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:24.475296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 400
77.7%
영업/정상 115
 
22.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2
400 
1
115 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 400
77.7%
1 115
 
22.3%

Length

2024-05-11T15:39:24.691520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:24.861139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 400
77.7%
1 115
 
22.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
400 
영업
115 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 400
77.7%
영업 115
 
22.3%

Length

2024-05-11T15:39:25.033347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:25.184007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 400
77.7%
영업 115
 
22.3%

폐업일자
Date

MISSING 

Distinct352
Distinct (%)88.0%
Missing115
Missing (%)22.3%
Memory size4.2 KiB
Minimum1993-05-07 00:00:00
Maximum2023-12-28 00:00:00
2024-05-11T15:39:25.373495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:25.647723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

전화번호
Text

MISSING 

Distinct387
Distinct (%)91.5%
Missing92
Missing (%)17.9%
Memory size4.2 KiB
2024-05-11T15:39:26.078248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9929078
Min length6

Characters and Unicode

Total characters4227
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

Unique373 ?
Unique (%)88.2%

Sample

1st row02 9378967
2nd row0209368307
3rd row02 9763113
4th row02 9367171
5th row0209375472
ValueCountFrequency (%)
02 298
39.4%
00000 21
 
2.8%
0200000000 4
 
0.5%
9528448 3
 
0.4%
975 3
 
0.4%
9393055 2
 
0.3%
972 2
 
0.3%
949 2
 
0.3%
5353 2
 
0.3%
938 2
 
0.3%
Other values (402) 417
55.2%
2024-05-11T15:39:26.915640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 801
18.9%
2 626
14.8%
9 587
13.9%
403
9.5%
3 400
9.5%
7 335
7.9%
6 225
 
5.3%
1 224
 
5.3%
5 220
 
5.2%
4 206
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3824
90.5%
Space Separator 403
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 801
20.9%
2 626
16.4%
9 587
15.4%
3 400
10.5%
7 335
8.8%
6 225
 
5.9%
1 224
 
5.9%
5 220
 
5.8%
4 206
 
5.4%
8 200
 
5.2%
Space Separator
ValueCountFrequency (%)
403
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4227
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 801
18.9%
2 626
14.8%
9 587
13.9%
403
9.5%
3 400
9.5%
7 335
7.9%
6 225
 
5.3%
1 224
 
5.3%
5 220
 
5.2%
4 206
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 801
18.9%
2 626
14.8%
9 587
13.9%
403
9.5%
3 400
9.5%
7 335
7.9%
6 225
 
5.3%
1 224
 
5.3%
5 220
 
5.2%
4 206
 
4.9%

소재지면적
Real number (ℝ)

ZEROS 

Distinct349
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.04033
Minimum0
Maximum153.44
Zeros39
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:27.272749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.44
median20
Q330.235
95-th percentile69.312
Maximum153.44
Range153.44
Interquartile range (IQR)17.795

Descriptive statistics

Standard deviation22.720207
Coefficient of variation (CV)0.87250072
Kurtosis6.0477458
Mean26.04033
Median Absolute Deviation (MAD)8.7
Skewness2.1307589
Sum13410.77
Variance516.20779
MonotonicityNot monotonic
2024-05-11T15:39:27.552429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
7.6%
16.5 9
 
1.7%
19.8 8
 
1.6%
6.6 8
 
1.6%
23.1 6
 
1.2%
33.0 6
 
1.2%
9.9 5
 
1.0%
9.0 5
 
1.0%
13.2 5
 
1.0%
15.0 5
 
1.0%
Other values (339) 419
81.4%
ValueCountFrequency (%)
0.0 39
7.6%
4.0 3
 
0.6%
6.0 2
 
0.4%
6.6 8
 
1.6%
6.9 2
 
0.4%
7.13 1
 
0.2%
7.36 3
 
0.6%
8.0 1
 
0.2%
8.12 1
 
0.2%
8.2 1
 
0.2%
ValueCountFrequency (%)
153.44 1
0.2%
144.5 1
0.2%
136.5 1
0.2%
119.6 1
0.2%
111.78 1
0.2%
110.4 1
0.2%
110.05 1
0.2%
109.49 1
0.2%
105.24 1
0.2%
97.68 1
0.2%

소재지우편번호
Text

Distinct86
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T15:39:27.927366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0485437
Min length6

Characters and Unicode

Total characters3115
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

Unique27 ?
Unique (%)5.2%

Sample

1st row139837
2nd row139810
3rd row139871
4th row139810
5th row139813
ValueCountFrequency (%)
139240 44
 
8.5%
139837 26
 
5.0%
139200 24
 
4.7%
139816 21
 
4.1%
139832 19
 
3.7%
139810 16
 
3.1%
139821 16
 
3.1%
139818 16
 
3.1%
139840 15
 
2.9%
139860 14
 
2.7%
Other values (76) 304
59.0%
2024-05-11T15:39:28.524163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 659
21.2%
3 625
20.1%
9 553
17.8%
8 463
14.9%
0 229
 
7.4%
2 188
 
6.0%
4 147
 
4.7%
7 80
 
2.6%
6 78
 
2.5%
5 68
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3090
99.2%
Dash Punctuation 25
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 659
21.3%
3 625
20.2%
9 553
17.9%
8 463
15.0%
0 229
 
7.4%
2 188
 
6.1%
4 147
 
4.8%
7 80
 
2.6%
6 78
 
2.5%
5 68
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3115
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 659
21.2%
3 625
20.1%
9 553
17.8%
8 463
14.9%
0 229
 
7.4%
2 188
 
6.0%
4 147
 
4.7%
7 80
 
2.6%
6 78
 
2.5%
5 68
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3115
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 659
21.2%
3 625
20.1%
9 553
17.8%
8 463
14.9%
0 229
 
7.4%
2 188
 
6.0%
4 147
 
4.7%
7 80
 
2.6%
6 78
 
2.5%
5 68
 
2.2%

지번주소
Text

Distinct476
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T15:39:29.020006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length26.15534
Min length19

Characters and Unicode

Total characters13470
Distinct characters189
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique441 ?
Unique (%)85.6%

Sample

1st row서울특별시 노원구 상계동 1115-6번지
2nd row서울특별시 노원구 상계동 84-21번지
3rd row서울특별시 노원구 하계동 160-1
4th row서울특별시 노원구 상계동 95-256번지
5th row서울특별시 노원구 상계동 152-245번지
ValueCountFrequency (%)
서울특별시 515
20.8%
노원구 515
20.8%
상계동 257
 
10.4%
공릉동 93
 
3.7%
중계동 76
 
3.1%
월계동 67
 
2.7%
하계동 22
 
0.9%
1층 14
 
0.6%
지층 9
 
0.4%
0-0번지 8
 
0.3%
Other values (686) 905
36.5%
2024-05-11T15:39:29.820682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2374
 
17.6%
동 557
 
4.1%
구 524
 
3.9%
1 524
 
3.9%
원 522
 
3.9%
시 521
 
3.9%
울 520
 
3.9%
노 520
 
3.9%
서 517
 
3.8%
별 515
 
3.8%
Other values (179) 6376
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7954
59.0%
Decimal Number 2621
 
19.5%
Space Separator 2374
 
17.6%
Dash Punctuation 447
 
3.3%
Open Punctuation 31
 
0.2%
Close Punctuation 31
 
0.2%
Uppercase Letter 8
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 557
 
7.0%
구 524
 
6.6%
원 522
 
6.6%
시 521
 
6.6%
울 520
 
6.5%
노 520
 
6.5%
서 517
 
6.5%
별 515
 
6.5%
특 515
 
6.5%
지 498
 
6.3%
Other values (160) 2745
34.5%
Decimal Number
ValueCountFrequency (%)
1 524
20.0%
3 305
11.6%
2 290
11.1%
0 280
10.7%
4 246
9.4%
5 227
8.7%
6 217
8.3%
7 217
8.3%
9 162
 
6.2%
8 153
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
@ 1
25.0%
. 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
50.0%
B 4
50.0%
Space Separator
ValueCountFrequency (%)
2374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 447
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7954
59.0%
Common 5508
40.9%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 557
 
7.0%
구 524
 
6.6%
원 522
 
6.6%
시 521
 
6.6%
울 520
 
6.5%
노 520
 
6.5%
서 517
 
6.5%
별 515
 
6.5%
특 515
 
6.5%
지 498
 
6.3%
Other values (160) 2745
34.5%
Common
ValueCountFrequency (%)
2374
43.1%
1 524
 
9.5%
- 447
 
8.1%
3 305
 
5.5%
2 290
 
5.3%
0 280
 
5.1%
4 246
 
4.5%
5 227
 
4.1%
6 217
 
3.9%
7 217
 
3.9%
Other values (7) 381
 
6.9%
Latin
ValueCountFrequency (%)
A 4
50.0%
B 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7953
59.0%
ASCII 5516
41.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2374
43.0%
1 524
 
9.5%
- 447
 
8.1%
3 305
 
5.5%
2 290
 
5.3%
0 280
 
5.1%
4 246
 
4.5%
5 227
 
4.1%
6 217
 
3.9%
7 217
 
3.9%
Other values (9) 389
 
7.1%
Hangul
ValueCountFrequency (%)
동 557
 
7.0%
구 524
 
6.6%
원 522
 
6.6%
시 521
 
6.6%
울 520
 
6.5%
노 520
 
6.5%
서 517
 
6.5%
별 515
 
6.5%
특 515
 
6.5%
지 498
 
6.3%
Other values (159) 2744
34.5%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

도로명주소
Text

MISSING 

Distinct219
Distinct (%)98.6%
Missing293
Missing (%)56.9%
Memory size4.2 KiB
2024-05-11T15:39:30.289039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length34.774775
Min length22

Characters and Unicode

Total characters7720
Distinct characters168
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

Unique216 ?
Unique (%)97.3%

Sample

1st row서울특별시 노원구 덕릉로95가길 9 (상계동)
2nd row서울특별시 노원구 공릉로58길 71 (하계동)
3rd row서울특별시 노원구 상계로 297-2 (상계동, 지상1층)
4th row서울특별시 노원구 한글비석로44길 60-20 (상계동)
5th row서울특별시 노원구 석계로15길 25, 107호 (월계동, 한일(아)상가)
ValueCountFrequency (%)
서울특별시 222
 
15.2%
노원구 222
 
15.2%
상계동 79
 
5.4%
공릉동 44
 
3.0%
1층 37
 
2.5%
중계동 32
 
2.2%
월계동 25
 
1.7%
동일로 20
 
1.4%
하계동 14
 
1.0%
한글비석로 13
 
0.9%
Other values (454) 749
51.4%
2024-05-11T15:39:31.035801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1236
 
16.0%
1 330
 
4.3%
동 313
 
4.1%
노 247
 
3.2%
원 245
 
3.2%
) 235
 
3.0%
( 235
 
3.0%
계 228
 
3.0%
울 227
 
2.9%
시 226
 
2.9%
Other values (158) 4198
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4422
57.3%
Decimal Number 1328
 
17.2%
Space Separator 1236
 
16.0%
Close Punctuation 235
 
3.0%
Open Punctuation 235
 
3.0%
Other Punctuation 219
 
2.8%
Dash Punctuation 37
 
0.5%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 313
 
7.1%
노 247
 
5.6%
원 245
 
5.5%
계 228
 
5.2%
울 227
 
5.1%
시 226
 
5.1%
구 226
 
5.1%
서 224
 
5.1%
로 222
 
5.0%
별 222
 
5.0%
Other values (141) 2042
46.2%
Decimal Number
ValueCountFrequency (%)
1 330
24.8%
2 211
15.9%
3 143
10.8%
4 141
10.6%
0 135
10.2%
5 81
 
6.1%
6 79
 
5.9%
7 73
 
5.5%
8 70
 
5.3%
9 65
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 5
62.5%
B 3
37.5%
Space Separator
ValueCountFrequency (%)
1236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Other Punctuation
ValueCountFrequency (%)
, 219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4422
57.3%
Common 3290
42.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 313
 
7.1%
노 247
 
5.6%
원 245
 
5.5%
계 228
 
5.2%
울 227
 
5.1%
시 226
 
5.1%
구 226
 
5.1%
서 224
 
5.1%
로 222
 
5.0%
별 222
 
5.0%
Other values (141) 2042
46.2%
Common
ValueCountFrequency (%)
1236
37.6%
1 330
 
10.0%
) 235
 
7.1%
( 235
 
7.1%
, 219
 
6.7%
2 211
 
6.4%
3 143
 
4.3%
4 141
 
4.3%
0 135
 
4.1%
5 81
 
2.5%
Other values (5) 324
 
9.8%
Latin
ValueCountFrequency (%)
A 5
62.5%
B 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4422
57.3%
ASCII 3298
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1236
37.5%
1 330
 
10.0%
) 235
 
7.1%
( 235
 
7.1%
, 219
 
6.6%
2 211
 
6.4%
3 143
 
4.3%
4 141
 
4.3%
0 135
 
4.1%
5 81
 
2.5%
Other values (7) 332
 
10.1%
Hangul
ValueCountFrequency (%)
동 313
 
7.1%
노 247
 
5.6%
원 245
 
5.5%
계 228
 
5.2%
울 227
 
5.1%
시 226
 
5.1%
구 226
 
5.1%
서 224
 
5.1%
로 222
 
5.0%
별 222
 
5.0%
Other values (141) 2042
46.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)59.4%
Missing296
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean1754.863
Minimum1600
Maximum1913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:31.272400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1600
5-th percentile1624.9
Q11681.5
median1751
Q31836
95-th percentile1901.1
Maximum1913
Range313
Interquartile range (IQR)154.5

Descriptive statistics

Standard deviation88.512371
Coefficient of variation (CV)0.050438337
Kurtosis-1.1894596
Mean1754.863
Median Absolute Deviation (MAD)77
Skewness0.13351944
Sum384315
Variance7834.4399
MonotonicityNot monotonic
2024-05-11T15:39:31.851911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1848 10
 
1.9%
1751 7
 
1.4%
1813 4
 
0.8%
1913 4
 
0.8%
1693 4
 
0.8%
1682 4
 
0.8%
1818 4
 
0.8%
1694 4
 
0.8%
1775 3
 
0.6%
1831 3
 
0.6%
Other values (120) 172
33.4%
(Missing) 296
57.5%
ValueCountFrequency (%)
1600 1
0.2%
1604 1
0.2%
1606 2
0.4%
1608 1
0.2%
1609 2
0.4%
1611 1
0.2%
1616 1
0.2%
1617 1
0.2%
1624 1
0.2%
1625 1
0.2%
ValueCountFrequency (%)
1913 4
0.8%
1911 1
 
0.2%
1909 1
 
0.2%
1905 2
0.4%
1903 2
0.4%
1902 1
 
0.2%
1901 2
0.4%
1900 1
 
0.2%
1894 2
0.4%
1893 1
 
0.2%

사업장명
Text

Distinct386
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T15:39:32.420690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length2
Mean length3.7126214
Min length1

Characters and Unicode

Total characters1912
Distinct characters306
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

Unique304 ?
Unique (%)59.0%

Sample

1st row명동
2nd row칠성
3rd row형제
4th row제일
5th row협동
ValueCountFrequency (%)
현대 12
 
2.1%
삼성 7
 
1.2%
제일 6
 
1.0%
뷰티초이스 5
 
0.9%
벽산 4
 
0.7%
정 4
 
0.7%
이용원 4
 
0.7%
노원점 4
 
0.7%
행운 4
 
0.7%
동방 4
 
0.7%
Other values (405) 520
90.6%
2024-05-11T15:39:33.191918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 106
 
5.5%
원 77
 
4.0%
59
 
3.1%
용 58
 
3.0%
성 48
 
2.5%
우 40
 
2.1%
대 39
 
2.0%
나 36
 
1.9%
사 35
 
1.8%
발 32
 
1.7%
Other values (296) 1382
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1768
92.5%
Space Separator 59
 
3.1%
Lowercase Letter 29
 
1.5%
Uppercase Letter 21
 
1.1%
Decimal Number 11
 
0.6%
Close Punctuation 10
 
0.5%
Open Punctuation 10
 
0.5%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 106
 
6.0%
원 77
 
4.4%
용 58
 
3.3%
성 48
 
2.7%
우 40
 
2.3%
대 39
 
2.2%
나 36
 
2.0%
사 35
 
2.0%
발 32
 
1.8%
스 24
 
1.4%
Other values (260) 1273
72.0%
Lowercase Letter
ValueCountFrequency (%)
r 5
17.2%
s 3
10.3%
h 3
10.3%
a 3
10.3%
b 3
10.3%
e 3
10.3%
p 2
 
6.9%
i 2
 
6.9%
o 2
 
6.9%
l 1
 
3.4%
Other values (2) 2
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
M 4
19.0%
E 3
14.3%
B 3
14.3%
A 2
9.5%
N 2
9.5%
S 1
 
4.8%
I 1
 
4.8%
H 1
 
4.8%
O 1
 
4.8%
Y 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
6 2
18.2%
9 2
18.2%
3 2
18.2%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
' 1
25.0%
? 1
25.0%
& 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1768
92.5%
Common 94
 
4.9%
Latin 50
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 106
 
6.0%
원 77
 
4.4%
용 58
 
3.3%
성 48
 
2.7%
우 40
 
2.3%
대 39
 
2.2%
나 36
 
2.0%
사 35
 
2.0%
발 32
 
1.8%
스 24
 
1.4%
Other values (260) 1273
72.0%
Latin
ValueCountFrequency (%)
r 5
 
10.0%
M 4
 
8.0%
s 3
 
6.0%
h 3
 
6.0%
a 3
 
6.0%
E 3
 
6.0%
B 3
 
6.0%
b 3
 
6.0%
e 3
 
6.0%
A 2
 
4.0%
Other values (14) 18
36.0%
Common
ValueCountFrequency (%)
59
62.8%
) 10
 
10.6%
( 10
 
10.6%
2 4
 
4.3%
6 2
 
2.1%
9 2
 
2.1%
3 2
 
2.1%
' 1
 
1.1%
4 1
 
1.1%
? 1
 
1.1%
Other values (2) 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1768
92.5%
ASCII 144
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 106
 
6.0%
원 77
 
4.4%
용 58
 
3.3%
성 48
 
2.7%
우 40
 
2.3%
대 39
 
2.2%
나 36
 
2.0%
사 35
 
2.0%
발 32
 
1.8%
스 24
 
1.4%
Other values (260) 1273
72.0%
ASCII
ValueCountFrequency (%)
59
41.0%
) 10
 
6.9%
( 10
 
6.9%
r 5
 
3.5%
2 4
 
2.8%
M 4
 
2.8%
s 3
 
2.1%
h 3
 
2.1%
a 3
 
2.1%
E 3
 
2.1%
Other values (26) 40
27.8%

최종수정일자
Date

Distinct331
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1999-03-15 00:00:00
Maximum2024-04-09 14:01:12
2024-05-11T15:39:33.440913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:33.677799image/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 size4.2 KiB
I
364 
U
151 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 364
70.7%
U 151
29.3%

Length

2024-05-11T15:39:33.937866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:34.112392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 364
70.7%
u 151
29.3%

데이터갱신일자
Date

Distinct104
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-11T15:39:34.373294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:39:34.655508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
일반이용업
497 
이용업 기타
 
18

Length

Max length6
Median length5
Mean length5.0349515
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 497
96.5%
이용업 기타 18
 
3.5%

Length

2024-05-11T15:39:34.902826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:35.075987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 497
93.2%
이용업 18
 
3.4%
기타 18
 
3.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)72.3%
Missing39
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean205960.26
Minimum203737.41
Maximum207467.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:35.261629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203737.41
5-th percentile204761.73
Q1205365.41
median205984.15
Q3206578.98
95-th percentile207109.76
Maximum207467.04
Range3729.6341
Interquartile range (IQR)1213.5684

Descriptive statistics

Standard deviation754.99031
Coefficient of variation (CV)0.0036657087
Kurtosis-0.85835008
Mean205960.26
Median Absolute Deviation (MAD)602.28795
Skewness-0.097882637
Sum98037082
Variance570010.36
MonotonicityNot monotonic
2024-05-11T15:39:35.502327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206578.976039388 6
 
1.2%
205984.15211292 6
 
1.2%
205978.185783794 5
 
1.0%
205455.436908126 5
 
1.0%
206356.052509483 5
 
1.0%
206415.545086691 5
 
1.0%
206342.011931277 4
 
0.8%
205445.843883297 4
 
0.8%
206202.853230578 4
 
0.8%
205705.336876035 4
 
0.8%
Other values (334) 428
83.1%
(Missing) 39
 
7.6%
ValueCountFrequency (%)
203737.409404091 1
 
0.2%
203937.138707359 1
 
0.2%
204463.453552983 1
 
0.2%
204521.192812369 1
 
0.2%
204528.169608114 3
0.6%
204558.457810284 2
0.4%
204568.987132912 1
 
0.2%
204569.316072045 1
 
0.2%
204580.819432231 2
0.4%
204588.477893819 2
0.4%
ValueCountFrequency (%)
207467.043458217 1
0.2%
207419.538405974 1
0.2%
207416.586869686 1
0.2%
207383.625858554 1
0.2%
207372.165893983 1
0.2%
207326.52839266 1
0.2%
207311.175792021 1
0.2%
207310.950903309 1
0.2%
207301.974335009 1
0.2%
207299.508715267 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct344
Distinct (%)72.3%
Missing39
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean460451.13
Minimum457016.53
Maximum465103.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:35.758974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457016.53
5-th percentile457362.32
Q1458310.6
median460904.53
Q3462059.22
95-th percentile463530.54
Maximum465103.76
Range8087.2244
Interquartile range (IQR)3748.6231

Descriptive statistics

Standard deviation2037.9682
Coefficient of variation (CV)0.0044260249
Kurtosis-1.2720065
Mean460451.13
Median Absolute Deviation (MAD)1637.9511
Skewness-0.14572151
Sum2.1917474 × 108
Variance4153314.2
MonotonicityNot monotonic
2024-05-11T15:39:36.028061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457736.364674901 6
 
1.2%
457275.799282625 6
 
1.2%
462367.006783272 5
 
1.0%
461592.348795203 5
 
1.0%
462123.008334776 5
 
1.0%
461546.032265974 5
 
1.0%
461845.269709197 4
 
0.8%
459604.311547098 4
 
0.8%
458984.510992729 4
 
0.8%
458028.977530331 4
 
0.8%
Other values (334) 428
83.1%
(Missing) 39
 
7.6%
ValueCountFrequency (%)
457016.530711051 3
0.6%
457062.649183448 1
 
0.2%
457067.194399343 1
 
0.2%
457068.762489791 1
 
0.2%
457081.99944003 2
0.4%
457182.860460769 1
 
0.2%
457194.127300184 1
 
0.2%
457218.651303797 1
 
0.2%
457252.429645843 1
 
0.2%
457270.398697324 1
 
0.2%
ValueCountFrequency (%)
465103.755134816 1
0.2%
464199.048415229 1
0.2%
464174.158420444 1
0.2%
464003.782684071 1
0.2%
464003.405075075 2
0.4%
463940.976727043 2
0.4%
463898.141439795 1
0.2%
463887.942604325 1
0.2%
463884.171337822 1
0.2%
463850.325129182 1
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
일반이용업
435 
<NA>
68 
이용업 기타
 
12

Length

Max length6
Median length5
Mean length4.8912621
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 435
84.5%
<NA> 68
 
13.2%
이용업 기타 12
 
2.3%

Length

2024-05-11T15:39:36.284353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:36.558411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 435
82.5%
na 68
 
12.9%
이용업 12
 
2.3%
기타 12
 
2.3%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)4.0%
Missing238
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean0.45848375
Minimum0
Maximum15
Zeros249
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:36.763372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6449005
Coefficient of variation (CV)3.5876964
Kurtosis28.654908
Mean0.45848375
Median Absolute Deviation (MAD)0
Skewness4.7848843
Sum127
Variance2.7056977
MonotonicityNot monotonic
2024-05-11T15:39:36.977726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 249
48.3%
3 8
 
1.6%
4 5
 
1.0%
7 3
 
0.6%
2 3
 
0.6%
6 2
 
0.4%
5 2
 
0.4%
1 2
 
0.4%
15 1
 
0.2%
9 1
 
0.2%
(Missing) 238
46.2%
ValueCountFrequency (%)
0 249
48.3%
1 2
 
0.4%
2 3
 
0.6%
3 8
 
1.6%
4 5
 
1.0%
5 2
 
0.4%
6 2
 
0.4%
7 3
 
0.6%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
15 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
7 3
 
0.6%
6 2
 
0.4%
5 2
 
0.4%
4 5
1.0%
3 8
1.6%
2 3
 
0.6%
1 2
 
0.4%

건물지하층수
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
257 
<NA>
240 
1
 
14
2
 
3
6
 
1

Length

Max length4
Median length1
Mean length2.3980583
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 (%)
0 257
49.9%
<NA> 240
46.6%
1 14
 
2.7%
2 3
 
0.6%
6 1
 
0.2%

Length

2024-05-11T15:39:37.227595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:37.422135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 257
49.9%
na 240
46.6%
1 14
 
2.7%
2 3
 
0.6%
6 1
 
0.2%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.1%
Missing286
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean0.47161572
Minimum0
Maximum7
Zeros160
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:37.578336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.97122075
Coefficient of variation (CV)2.0593477
Kurtosis19.020208
Mean0.47161572
Median Absolute Deviation (MAD)0
Skewness3.6884178
Sum108
Variance0.94326975
MonotonicityNot monotonic
2024-05-11T15:39:37.769745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 160
31.1%
1 46
 
8.9%
2 18
 
3.5%
7 2
 
0.4%
4 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%
(Missing) 286
55.5%
ValueCountFrequency (%)
0 160
31.1%
1 46
 
8.9%
2 18
 
3.5%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
7 2
 
0.4%
ValueCountFrequency (%)
7 2
 
0.4%
5 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
2 18
 
3.5%
1 46
 
8.9%
0 160
31.1%

사용끝지상층
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
418 
1
48 
0
 
29
2
 
17
7
 
2

Length

Max length4
Median length4
Mean length3.4349515
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 418
81.2%
1 48
 
9.3%
0 29
 
5.6%
2 17
 
3.3%
7 2
 
0.4%
4 1
 
0.2%

Length

2024-05-11T15:39:38.010764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:38.180058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
81.2%
1 48
 
9.3%
0 29
 
5.6%
2 17
 
3.3%
7 2
 
0.4%
4 1
 
0.2%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
285 
0
199 
1
 
28
2
 
3

Length

Max length4
Median length4
Mean length2.6601942
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> 285
55.3%
0 199
38.6%
1 28
 
5.4%
2 3
 
0.6%

Length

2024-05-11T15:39:38.381890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:38.584360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 285
55.3%
0 199
38.6%
1 28
 
5.4%
2 3
 
0.6%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
417 
0
73 
1
 
23
2
 
2

Length

Max length4
Median length4
Mean length3.4291262
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> 417
81.0%
0 73
 
14.2%
1 23
 
4.5%
2 2
 
0.4%

Length

2024-05-11T15:39:38.787214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:38.990566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 417
81.0%
0 73
 
14.2%
1 23
 
4.5%
2 2
 
0.4%

한실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
266 
<NA>
249 

Length

Max length4
Median length1
Mean length2.4504854
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 (%)
0 266
51.7%
<NA> 249
48.3%

Length

2024-05-11T15:39:39.166296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:39.322858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 266
51.7%
na 249
48.3%

양실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
266 
<NA>
249 

Length

Max length4
Median length1
Mean length2.4504854
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 (%)
0 266
51.7%
<NA> 249
48.3%

Length

2024-05-11T15:39:39.455410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:39.623857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 266
51.7%
na 249
48.3%

욕실수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
266 
<NA>
249 

Length

Max length4
Median length1
Mean length2.4504854
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 (%)
0 266
51.7%
<NA> 249
48.3%

Length

2024-05-11T15:39:39.818640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:39.993016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 266
51.7%
na 249
48.3%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing71
Missing (%)13.8%
Memory size1.1 KiB
False
444 
(Missing)
71 
ValueCountFrequency (%)
False 444
86.2%
(Missing) 71
 
13.8%
2024-05-11T15:39:40.155594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)3.2%
Missing81
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean3.8709677
Minimum0
Maximum13
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:39:40.322420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q34.75
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.3339913
Coefficient of variation (CV)0.60294776
Kurtosis1.2847628
Mean3.8709677
Median Absolute Deviation (MAD)1
Skewness1.3215368
Sum1680
Variance5.4475155
MonotonicityNot monotonic
2024-05-11T15:39:40.550534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 124
24.1%
2 122
23.7%
4 63
12.2%
8 23
 
4.5%
5 21
 
4.1%
9 19
 
3.7%
7 19
 
3.7%
6 18
 
3.5%
1 11
 
2.1%
0 5
 
1.0%
Other values (4) 9
 
1.7%
(Missing) 81
15.7%
ValueCountFrequency (%)
0 5
 
1.0%
1 11
 
2.1%
2 122
23.7%
3 124
24.1%
4 63
12.2%
5 21
 
4.1%
6 18
 
3.5%
7 19
 
3.7%
8 23
 
4.5%
9 19
 
3.7%
ValueCountFrequency (%)
13 2
 
0.4%
12 1
 
0.2%
11 2
 
0.4%
10 4
 
0.8%
9 19
 
3.7%
8 23
 
4.5%
7 19
 
3.7%
6 18
 
3.5%
5 21
 
4.1%
4 63
12.2%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing515
Missing (%)100.0%
Memory size4.7 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
439 
임대
70 
자가
 
6

Length

Max length4
Median length4
Mean length3.7048544
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 439
85.2%
임대 70
 
13.6%
자가 6
 
1.2%

Length

2024-05-11T15:39:40.801253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:41.002859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 439
85.2%
임대 70
 
13.6%
자가 6
 
1.2%

세탁기수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
383 
0
132 

Length

Max length4
Median length4
Mean length3.231068
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> 383
74.4%
0 132
 
25.6%

Length

2024-05-11T15:39:41.275745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:41.451830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 383
74.4%
0 132
 
25.6%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
445 
0
63 
1
 
6
2
 
1

Length

Max length4
Median length4
Mean length3.592233
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
86.4%
0 63
 
12.2%
1 6
 
1.2%
2 1
 
0.2%

Length

2024-05-11T15:39:41.618464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:41.792018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
86.4%
0 63
 
12.2%
1 6
 
1.2%
2 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
448 
0
64 
2
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.6097087
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> 448
87.0%
0 64
 
12.4%
2 2
 
0.4%
1 1
 
0.2%

Length

2024-05-11T15:39:41.989732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:42.179902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 448
87.0%
0 64
 
12.4%
2 2
 
0.4%
1 1
 
0.2%

회수건조수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
389 
0
126 

Length

Max length4
Median length4
Mean length3.2660194
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> 389
75.5%
0 126
 
24.5%

Length

2024-05-11T15:39:42.392350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:42.570280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 389
75.5%
0 126
 
24.5%

침대수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
390 
0
125 

Length

Max length4
Median length4
Mean length3.2718447
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> 390
75.7%
0 125
 
24.3%

Length

2024-05-11T15:39:42.757523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:39:42.949978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 390
75.7%
0 125
 
24.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing68
Missing (%)13.2%
Memory size1.1 KiB
False
447 
(Missing)
68 
ValueCountFrequency (%)
False 447
86.8%
(Missing) 68
 
13.2%
2024-05-11T15:39:43.102676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031000003100000-203-1968-0012319680725<NA>3폐업2폐업20020722<NA><NA><NA>02 937896712.92139837서울특별시 노원구 상계동 1115-6번지<NA><NA>명동2003-03-20 00:00:00I2018-08-31 23:59:59.0일반이용업204851.458602463884.171338일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
131000003100000-203-1968-0018519680710<NA>3폐업2폐업20170907<NA><NA><NA>020936830726.4139810서울특별시 노원구 상계동 84-21번지서울특별시 노원구 덕릉로95가길 9 (상계동)1640칠성2017-09-07 16:59:20I2018-08-31 23:59:59.0일반이용업206662.441206462487.058546일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
231000003100000-203-1968-0034919680524<NA>1영업/정상1영업<NA><NA><NA><NA>02 976311317.79139871서울특별시 노원구 하계동 160-1서울특별시 노원구 공릉로58길 71 (하계동)1809형제2021-12-16 19:17:36U2021-12-18 02:40:00.0일반이용업206320.113998459243.837834일반이용업001100000N3<NA><NA><NA>임대00000N
331000003100000-203-1969-0018319690916<NA>3폐업2폐업20010703<NA><NA><NA>02 936717128.7139810서울특별시 노원구 상계동 95-256번지<NA><NA>제일2003-03-21 00:00:00I2018-08-31 23:59:59.0일반이용업206807.037677462604.909285일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
431000003100000-203-1969-0020019690401<NA>3폐업2폐업20031014<NA><NA><NA>020937547216.43139813서울특별시 노원구 상계동 152-245번지<NA><NA>협동2003-03-21 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
531000003100000-203-1969-0108519690925<NA>3폐업2폐업20000821<NA><NA><NA>02 936233718.36139816서울특별시 노원구 상계동 349-28번지<NA><NA>건용2000-09-14 00:00:00I2018-08-31 23:59:59.0일반이용업205712.620423461556.7926일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
631000003100000-203-1970-0012919700613<NA>3폐업2폐업20051010<NA><NA><NA>02 93225590.0139838서울특별시 노원구 상계동 1205-425번지<NA><NA>수락2004-11-08 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
731000003100000-203-1970-0016619700602<NA>3폐업2폐업19950726<NA><NA><NA>02 0000017.22139200서울특별시 노원구 상계동 105-0번지<NA><NA>청재2001-09-29 00:00:00I2018-08-31 23:59:59.0일반이용업<NA><NA>일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
831000003100000-203-1970-0019919700310<NA>3폐업2폐업20170104<NA><NA><NA>02 939473211.66139811서울특별시 노원구 상계동 111-121번지 지상1층서울특별시 노원구 상계로 297-2 (상계동, 지상1층)1636중앙2013-10-18 09:45:55I2018-08-31 23:59:59.0일반이용업206838.768371463075.353365일반이용업000<NA>0<NA>000N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
931000003100000-203-1970-0030419700801<NA>3폐업2폐업20120206<NA><NA><NA>020912736813.5139847서울특별시 노원구 월계동 513-12번지<NA><NA>영풍2011-08-22 11:06:45I2018-08-31 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
50531000003100000-203-2022-000012022-05-19<NA>3폐업2폐업2023-06-15<NA><NA><NA><NA>16.0139-738서울특별시 노원구 공릉동 743 한보아파트서울특별시 노원구 공릉로46길 23, 한보아파트 지2층 (공릉동)1813스파렉스사우나(이발)2023-06-15 10:16:59U2022-12-05 23:07:00.0일반이용업207019.72734458418.229301<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50631000003100000-203-2022-000022022-06-28<NA>3폐업2폐업2023-11-02<NA><NA><NA><NA>6.6139-832서울특별시 노원구 상계동 724 근호빌딩서울특별시 노원구 노해로 488, 근호빌딩 지하1층 (상계동)1751노원사우나2023-11-02 11:15:35U2022-11-01 00:04:00.0일반이용업205415.542387461328.596334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50731000003100000-203-2022-0000320220721<NA>1영업/정상1영업<NA><NA><NA><NA><NA>109.49139708서울특별시 노원구 상계동 713 롯데백화점서울특별시 노원구 동일로 1414, 롯데백화점 5층 (상계동)1695마제스티바버&헤어(노원점)2022-07-21 10:35:25I2021-12-06 22:03:00.0일반이용업205320.284767461419.881795<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50831000003100000-203-2023-0000120230104<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.0139734서울특별시 노원구 하계동 354 학여울청구아파트서울특별시 노원구 동일로207길 186, A상가동 지하2호 (하계동, 학여울청구아파트)1775조은염색2023-01-04 14:48:17I2022-12-01 00:06:00.0이용업 기타205344.664263459333.879372<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50931000003100000-203-2023-000022023-01-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.0139-808서울특별시 노원구 공릉동 683-12서울특별시 노원구 화랑로 419-18, 1층 우측호 (공릉동)1861헤어 바이 이은(태릉점)2023-06-01 11:27:24U2022-12-06 00:03:00.0일반이용업206477.761816457270.398697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51031000003100000-203-2023-000032023-06-02<NA>1영업/정상1영업<NA><NA><NA><NA>0708672926829.0139-827서울특별시 노원구 상계동 693 미도빌딩서울특별시 노원구 동일로 1426, 미도빌딩 2층 203호 (상계동)1694레드폴바버샵 노원2호점2023-06-02 09:35:47I2022-12-06 00:04:00.0일반이용업205273.302427461515.158002<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51131000003100000-203-2023-000042023-08-11<NA>1영업/정상1영업<NA><NA><NA><NA>02 972858626.64139-802서울특별시 노원구 공릉동 345-3서울특별시 노원구 공릉로 153, 1층 (공릉동)1836지니염색2023-08-11 15:31:41I2022-12-07 23:03:00.0일반이용업206943.091247457966.394826<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51231000003100000-203-2023-000052023-08-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>14.0139-820서울특별시 노원구 상계동 450 교림노원프라자서울특별시 노원구 한글비석로 444, 교림노원프라자 7층 701호 (상계동)1666궁전보석사우나 이용실2023-08-18 10:19:22I2022-12-07 22:00:00.0일반이용업205978.185784462367.006783<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51331000003100000-203-2024-000012024-02-26<NA>1영업/정상1영업<NA><NA><NA><NA>0708657469333.3139-827서울특별시 노원구 상계동 693-1 노원프라자빌딩서울특별시 노원구 상계로 51, 노원프라자빌딩 107호 (상계동)1694바버693 노원2호점2024-02-26 11:48:37I2023-12-01 22:08:00.0일반이용업205297.659203461519.760234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51431000003100000-203-2024-000022024-03-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>65.96139-821서울특별시 노원구 상계동 593-3 한일빌딩서울특별시 노원구 상계로3길 10, 한일빌딩 5층 501호 (상계동)1693레드폴바버샵 노원점2024-03-19 16:05:38I2023-12-02 22:01:00.0일반이용업205455.436908461592.348795<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>