Overview

Dataset statistics

Number of variables47
Number of observations655
Missing cells6797
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory259.2 KiB
Average record size in memory405.2 B

Variable types

Categorical20
Text6
DateTime4
Unsupported7
Numeric8
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17933/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (87.7%)Imbalance
위생업태명 is highly imbalanced (76.3%)Imbalance
사용끝지하층 is highly imbalanced (75.7%)Imbalance
건물소유구분명 is highly imbalanced (65.1%)Imbalance
여성종사자수 is highly imbalanced (75.8%)Imbalance
남성종사자수 is highly imbalanced (79.0%)Imbalance
침대수 is highly imbalanced (61.5%)Imbalance
인허가취소일자 has 655 (100.0%) missing valuesMissing
폐업일자 has 118 (18.0%) missing valuesMissing
휴업시작일자 has 655 (100.0%) missing valuesMissing
휴업종료일자 has 655 (100.0%) missing valuesMissing
재개업일자 has 655 (100.0%) missing valuesMissing
전화번호 has 151 (23.1%) missing valuesMissing
도로명주소 has 438 (66.9%) missing valuesMissing
도로명우편번호 has 440 (67.2%) missing valuesMissing
좌표정보(X) has 34 (5.2%) missing valuesMissing
좌표정보(Y) has 34 (5.2%) missing valuesMissing
건물지상층수 has 144 (22.0%) missing valuesMissing
사용시작지상층 has 199 (30.4%) missing valuesMissing
사용끝지상층 has 545 (83.2%) missing valuesMissing
발한실여부 has 40 (6.1%) missing valuesMissing
좌석수 has 37 (5.6%) missing valuesMissing
조건부허가신고사유 has 655 (100.0%) missing valuesMissing
조건부허가시작일자 has 655 (100.0%) missing valuesMissing
조건부허가종료일자 has 655 (100.0%) missing valuesMissing
다중이용업소여부 has 32 (4.9%) 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 12 (1.8%) zerosZeros
건물지상층수 has 317 (48.4%) zerosZeros
사용시작지상층 has 269 (41.1%) zerosZeros
사용끝지상층 has 13 (2.0%) zerosZeros
좌석수 has 20 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:43:06.802080
Analysis finished2024-05-11 05:43:07.853907
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3060000
655 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 655
100.0%

Length

2024-05-11T14:43:07.939599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:08.057375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 655
100.0%

관리번호
Text

UNIQUE 

Distinct655
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T14:43:08.289906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14410
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

Unique655 ?
Unique (%)100.0%

Sample

1st row3060000-203-1900-00395
2nd row3060000-203-1947-00442
3rd row3060000-203-1967-00388
4th row3060000-203-1970-00350
5th row3060000-203-1970-00530
ValueCountFrequency (%)
3060000-203-1900-00395 1
 
0.2%
3060000-203-2001-01972 1
 
0.2%
3060000-203-2002-00030 1
 
0.2%
3060000-203-2002-00023 1
 
0.2%
3060000-203-2002-00024 1
 
0.2%
3060000-203-2002-00025 1
 
0.2%
3060000-203-2002-00026 1
 
0.2%
3060000-203-2002-00027 1
 
0.2%
3060000-203-2002-00028 1
 
0.2%
3060000-203-2002-00029 1
 
0.2%
Other values (645) 645
98.5%
2024-05-11T14:43:08.779489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6138
42.6%
- 1965
 
13.6%
3 1632
 
11.3%
2 1162
 
8.1%
6 881
 
6.1%
1 769
 
5.3%
9 741
 
5.1%
8 351
 
2.4%
4 269
 
1.9%
5 267
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12445
86.4%
Dash Punctuation 1965
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6138
49.3%
3 1632
 
13.1%
2 1162
 
9.3%
6 881
 
7.1%
1 769
 
6.2%
9 741
 
6.0%
8 351
 
2.8%
4 269
 
2.2%
5 267
 
2.1%
7 235
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 1965
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6138
42.6%
- 1965
 
13.6%
3 1632
 
11.3%
2 1162
 
8.1%
6 881
 
6.1%
1 769
 
5.3%
9 741
 
5.1%
8 351
 
2.4%
4 269
 
1.9%
5 267
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6138
42.6%
- 1965
 
13.6%
3 1632
 
11.3%
2 1162
 
8.1%
6 881
 
6.1%
1 769
 
5.3%
9 741
 
5.1%
8 351
 
2.4%
4 269
 
1.9%
5 267
 
1.9%

인허가일자
Date

Distinct582
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1900-07-13 00:00:00
Maximum2023-09-04 00:00:00
2024-05-11T14:43:09.014709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:09.238256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
537 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 537
82.0%
1 118
 
18.0%

Length

2024-05-11T14:43:09.431598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:09.593517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 537
82.0%
1 118
 
18.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
537 
영업/정상
118 

Length

Max length5
Median length2
Mean length2.540458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 537
82.0%
영업/정상 118
 
18.0%

Length

2024-05-11T14:43:09.774168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:09.904229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 537
82.0%
영업/정상 118
 
18.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2
537 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 537
82.0%
1 118
 
18.0%

Length

2024-05-11T14:43:10.047701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:10.180861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 537
82.0%
1 118
 
18.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
537 
영업
118 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 537
82.0%
영업 118
 
18.0%

Length

2024-05-11T14:43:10.319156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:10.448324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 537
82.0%
영업 118
 
18.0%

폐업일자
Date

MISSING 

Distinct452
Distinct (%)84.2%
Missing118
Missing (%)18.0%
Memory size5.2 KiB
Minimum1992-03-27 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T14:43:10.612866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:10.812253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

전화번호
Text

MISSING 

Distinct458
Distinct (%)90.9%
Missing151
Missing (%)23.1%
Memory size5.2 KiB
2024-05-11T14:43:11.174834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9365079
Min length2

Characters and Unicode

Total characters5008
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

Unique419 ?
Unique (%)83.1%

Sample

1st row0204959679
2nd row0209760480
3rd row02 4361767
4th row0204339169
5th row02 7928487
ValueCountFrequency (%)
02 276
34.8%
9733413 4
 
0.5%
0 4
 
0.5%
4381469 3
 
0.4%
4355346 3
 
0.4%
9488611 2
 
0.3%
0222094646 2
 
0.3%
0204323701 2
 
0.3%
4952022 2
 
0.3%
4922818 2
 
0.3%
Other values (462) 494
62.2%
2024-05-11T14:43:11.718914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 962
19.2%
2 897
17.9%
4 656
13.1%
3 467
9.3%
9 455
9.1%
316
 
6.3%
7 281
 
5.6%
6 254
 
5.1%
8 250
 
5.0%
5 245
 
4.9%
Other values (2) 225
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4691
93.7%
Space Separator 316
 
6.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 962
20.5%
2 897
19.1%
4 656
14.0%
3 467
10.0%
9 455
9.7%
7 281
 
6.0%
6 254
 
5.4%
8 250
 
5.3%
5 245
 
5.2%
1 224
 
4.8%
Space Separator
ValueCountFrequency (%)
316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 962
19.2%
2 897
17.9%
4 656
13.1%
3 467
9.3%
9 455
9.1%
316
 
6.3%
7 281
 
5.6%
6 254
 
5.1%
8 250
 
5.0%
5 245
 
4.9%
Other values (2) 225
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 962
19.2%
2 897
17.9%
4 656
13.1%
3 467
9.3%
9 455
9.1%
316
 
6.3%
7 281
 
5.6%
6 254
 
5.1%
8 250
 
5.0%
5 245
 
4.9%
Other values (2) 225
 
4.5%

소재지면적
Real number (ℝ)

ZEROS 

Distinct396
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.292809
Minimum0
Maximum198
Zeros12
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:11.934700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.6
Q114.355
median21.45
Q333
95-th percentile92.4
Maximum198
Range198
Interquartile range (IQR)18.645

Descriptive statistics

Standard deviation28.149684
Coefficient of variation (CV)0.92925301
Kurtosis6.7218777
Mean30.292809
Median Absolute Deviation (MAD)8.25
Skewness2.4127376
Sum19841.79
Variance792.40471
MonotonicityNot monotonic
2024-05-11T14:43:12.161708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.2 15
 
2.3%
16.5 15
 
2.3%
33.0 14
 
2.1%
25.0 14
 
2.1%
23.1 14
 
2.1%
0.0 12
 
1.8%
26.4 11
 
1.7%
20.0 11
 
1.7%
66.0 11
 
1.7%
6.6 10
 
1.5%
Other values (386) 528
80.6%
ValueCountFrequency (%)
0.0 12
1.8%
2.77 1
 
0.2%
3.3 2
 
0.3%
4.0 2
 
0.3%
5.0 4
 
0.6%
6.0 2
 
0.3%
6.1 1
 
0.2%
6.6 10
1.5%
6.63 1
 
0.2%
7.0 2
 
0.3%
ValueCountFrequency (%)
198.0 1
 
0.2%
165.0 1
 
0.2%
151.8 1
 
0.2%
148.5 4
0.6%
148.06 1
 
0.2%
138.6 1
 
0.2%
132.0 6
0.9%
131.0 1
 
0.2%
115.5 5
0.8%
107.9 1
 
0.2%

소재지우편번호
Text

Distinct95
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T14:43:12.513971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0229008
Min length6

Characters and Unicode

Total characters3945
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

Unique21 ?
Unique (%)3.2%

Sample

1st row131828
2nd row131848
3rd row131862
4th row131830
5th row131809
ValueCountFrequency (%)
131802 27
 
4.1%
131809 23
 
3.5%
131828 19
 
2.9%
131810 19
 
2.9%
131816 19
 
2.9%
131848 19
 
2.9%
131823 17
 
2.6%
131881 16
 
2.4%
131860 16
 
2.4%
131853 16
 
2.4%
Other values (85) 464
70.8%
2024-05-11T14:43:13.032830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1530
38.8%
3 754
19.1%
8 749
19.0%
2 199
 
5.0%
0 192
 
4.9%
7 147
 
3.7%
6 117
 
3.0%
5 109
 
2.8%
9 68
 
1.7%
4 65
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3930
99.6%
Dash Punctuation 15
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1530
38.9%
3 754
19.2%
8 749
19.1%
2 199
 
5.1%
0 192
 
4.9%
7 147
 
3.7%
6 117
 
3.0%
5 109
 
2.8%
9 68
 
1.7%
4 65
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3945
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1530
38.8%
3 754
19.1%
8 749
19.0%
2 199
 
5.0%
0 192
 
4.9%
7 147
 
3.7%
6 117
 
3.0%
5 109
 
2.8%
9 68
 
1.7%
4 65
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3945
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1530
38.8%
3 754
19.1%
8 749
19.0%
2 199
 
5.0%
0 192
 
4.9%
7 147
 
3.7%
6 117
 
3.0%
5 109
 
2.8%
9 68
 
1.7%
4 65
 
1.6%

지번주소
Text

Distinct558
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T14:43:13.494861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length37
Mean length23.392366
Min length18

Characters and Unicode

Total characters15322
Distinct characters137
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

Unique475 ?
Unique (%)72.5%

Sample

1st row서울특별시 중랑구 면목동 647-10번지
2nd row서울특별시 중랑구 묵동 318-1번지
3rd row서울특별시 중랑구 상봉동 216-0번지
4th row서울특별시 중랑구 면목동 375-1번지
5th row서울특별시 중랑구 망우동 494-2번지
ValueCountFrequency (%)
서울특별시 655
23.2%
중랑구 655
23.2%
면목동 254
 
9.0%
망우동 116
 
4.1%
중화동 96
 
3.4%
묵동 82
 
2.9%
상봉동 69
 
2.4%
신내동 38
 
1.3%
지상1층 26
 
0.9%
1층 25
 
0.9%
Other values (598) 809
28.6%
2024-05-11T14:43:14.167441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2783
18.2%
중 753
 
4.9%
1 694
 
4.5%
동 667
 
4.4%
서 657
 
4.3%
랑 657
 
4.3%
구 657
 
4.3%
시 656
 
4.3%
울 655
 
4.3%
특 655
 
4.3%
Other values (127) 6488
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8807
57.5%
Decimal Number 3090
 
20.2%
Space Separator 2783
 
18.2%
Dash Punctuation 615
 
4.0%
Other Punctuation 10
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 753
 
8.6%
동 667
 
7.6%
서 657
 
7.5%
랑 657
 
7.5%
구 657
 
7.5%
시 656
 
7.4%
울 655
 
7.4%
특 655
 
7.4%
별 655
 
7.4%
지 623
 
7.1%
Other values (109) 2172
24.7%
Decimal Number
ValueCountFrequency (%)
1 694
22.5%
2 419
13.6%
3 361
11.7%
4 308
10.0%
6 270
 
8.7%
5 249
 
8.1%
0 234
 
7.6%
7 220
 
7.1%
8 199
 
6.4%
9 136
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
. 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 615
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8807
57.5%
Common 6511
42.5%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 753
 
8.6%
동 667
 
7.6%
서 657
 
7.5%
랑 657
 
7.5%
구 657
 
7.5%
시 656
 
7.4%
울 655
 
7.4%
특 655
 
7.4%
별 655
 
7.4%
지 623
 
7.1%
Other values (109) 2172
24.7%
Common
ValueCountFrequency (%)
2783
42.7%
1 694
 
10.7%
- 615
 
9.4%
2 419
 
6.4%
3 361
 
5.5%
4 308
 
4.7%
6 270
 
4.1%
5 249
 
3.8%
0 234
 
3.6%
7 220
 
3.4%
Other values (6) 358
 
5.5%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8807
57.5%
ASCII 6515
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2783
42.7%
1 694
 
10.7%
- 615
 
9.4%
2 419
 
6.4%
3 361
 
5.5%
4 308
 
4.7%
6 270
 
4.1%
5 249
 
3.8%
0 234
 
3.6%
7 220
 
3.4%
Other values (8) 362
 
5.6%
Hangul
ValueCountFrequency (%)
중 753
 
8.6%
동 667
 
7.6%
서 657
 
7.5%
랑 657
 
7.5%
구 657
 
7.5%
시 656
 
7.4%
울 655
 
7.4%
특 655
 
7.4%
별 655
 
7.4%
지 623
 
7.1%
Other values (109) 2172
24.7%

도로명주소
Text

MISSING 

Distinct217
Distinct (%)100.0%
Missing438
Missing (%)66.9%
Memory size5.2 KiB
2024-05-11T14:43:14.556571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length29.004608
Min length21

Characters and Unicode

Total characters6294
Distinct characters149
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

Unique217 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 면목로27나길 15 (면목동)
2nd row서울특별시 중랑구 동일로138길 10, 지층 (중화동)
3rd row서울특별시 중랑구 면목로58길 19 (면목동)
4th row서울특별시 중랑구 동일로130길 57 (중화동)
5th row서울특별시 중랑구 봉화산로56길 70 (신내동)
ValueCountFrequency (%)
서울특별시 217
 
17.3%
중랑구 217
 
17.3%
면목동 86
 
6.9%
1층 56
 
4.5%
망우동 31
 
2.5%
중화동 27
 
2.2%
묵동 21
 
1.7%
신내동 17
 
1.4%
중랑역로 12
 
1.0%
상봉동 10
 
0.8%
Other values (322) 560
44.7%
2024-05-11T14:43:15.128848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1037
 
16.5%
중 271
 
4.3%
1 267
 
4.2%
동 254
 
4.0%
랑 238
 
3.8%
) 220
 
3.5%
( 220
 
3.5%
서 219
 
3.5%
구 218
 
3.5%
시 218
 
3.5%
Other values (139) 3132
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3716
59.0%
Space Separator 1037
 
16.5%
Decimal Number 944
 
15.0%
Close Punctuation 220
 
3.5%
Open Punctuation 220
 
3.5%
Other Punctuation 140
 
2.2%
Dash Punctuation 13
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 271
 
7.3%
동 254
 
6.8%
랑 238
 
6.4%
서 219
 
5.9%
구 218
 
5.9%
시 218
 
5.9%
특 217
 
5.8%
울 217
 
5.8%
별 217
 
5.8%
로 216
 
5.8%
Other values (122) 1431
38.5%
Decimal Number
ValueCountFrequency (%)
1 267
28.3%
2 122
12.9%
3 99
 
10.5%
5 83
 
8.8%
4 75
 
7.9%
7 67
 
7.1%
0 64
 
6.8%
6 62
 
6.6%
8 58
 
6.1%
9 47
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1037
100.0%
Close Punctuation
ValueCountFrequency (%)
) 220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 220
100.0%
Other Punctuation
ValueCountFrequency (%)
, 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3716
59.0%
Common 2574
40.9%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 271
 
7.3%
동 254
 
6.8%
랑 238
 
6.4%
서 219
 
5.9%
구 218
 
5.9%
시 218
 
5.9%
특 217
 
5.8%
울 217
 
5.8%
별 217
 
5.8%
로 216
 
5.8%
Other values (122) 1431
38.5%
Common
ValueCountFrequency (%)
1037
40.3%
1 267
 
10.4%
) 220
 
8.5%
( 220
 
8.5%
, 140
 
5.4%
2 122
 
4.7%
3 99
 
3.8%
5 83
 
3.2%
4 75
 
2.9%
7 67
 
2.6%
Other values (5) 244
 
9.5%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3716
59.0%
ASCII 2578
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1037
40.2%
1 267
 
10.4%
) 220
 
8.5%
( 220
 
8.5%
, 140
 
5.4%
2 122
 
4.7%
3 99
 
3.8%
5 83
 
3.2%
4 75
 
2.9%
7 67
 
2.6%
Other values (7) 248
 
9.6%
Hangul
ValueCountFrequency (%)
중 271
 
7.3%
동 254
 
6.8%
랑 238
 
6.4%
서 219
 
5.9%
구 218
 
5.9%
시 218
 
5.9%
특 217
 
5.8%
울 217
 
5.8%
별 217
 
5.8%
로 216
 
5.8%
Other values (122) 1431
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)60.9%
Missing440
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean2134.7907
Minimum2002
Maximum2257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:15.313061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2010.7
Q12068
median2143
Q32203
95-th percentile2243.3
Maximum2257
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation75.598162
Coefficient of variation (CV)0.035412447
Kurtosis-1.1910019
Mean2134.7907
Median Absolute Deviation (MAD)67
Skewness-0.16210067
Sum458980
Variance5715.0822
MonotonicityNot monotonic
2024-05-11T14:43:15.813455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2176 8
 
1.2%
2146 6
 
0.9%
2240 6
 
0.9%
2162 4
 
0.6%
2237 4
 
0.6%
2213 4
 
0.6%
2007 4
 
0.6%
2036 3
 
0.5%
2252 3
 
0.5%
2124 3
 
0.5%
Other values (121) 170
 
26.0%
(Missing) 440
67.2%
ValueCountFrequency (%)
2002 1
 
0.2%
2004 1
 
0.2%
2007 4
0.6%
2008 1
 
0.2%
2009 2
0.3%
2010 2
0.3%
2011 2
0.3%
2014 2
0.3%
2015 2
0.3%
2017 1
 
0.2%
ValueCountFrequency (%)
2257 1
 
0.2%
2255 1
 
0.2%
2253 1
 
0.2%
2252 3
0.5%
2250 1
 
0.2%
2249 1
 
0.2%
2244 3
0.5%
2243 2
 
0.3%
2240 6
0.9%
2238 1
 
0.2%

사업장명
Text

Distinct477
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T14:43:16.122460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length2
Mean length3.4610687
Min length1

Characters and Unicode

Total characters2267
Distinct characters300
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique370 ?
Unique (%)56.5%

Sample

1st row팔팔
2nd row현대
3rd row새마을
4th row중앙
5th row천우
ValueCountFrequency (%)
새마을 7
 
1.0%
현대 7
 
1.0%
우정 7
 
1.0%
이용원 7
 
1.0%
중앙 5
 
0.7%
동양 5
 
0.7%
중화 5
 
0.7%
고향 5
 
0.7%
대성 5
 
0.7%
바버샵 5
 
0.7%
Other values (481) 627
91.5%
2024-05-11T14:43:16.648457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 199
 
8.8%
원 165
 
7.3%
용 152
 
6.7%
신 49
 
2.2%
우 49
 
2.2%
대 48
 
2.1%
성 48
 
2.1%
동 47
 
2.1%
발 43
 
1.9%
30
 
1.3%
Other values (290) 1437
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2170
95.7%
Lowercase Letter 42
 
1.9%
Space Separator 30
 
1.3%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Uppercase Letter 6
 
0.3%
Decimal Number 4
 
0.2%
Other Punctuation 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 199
 
9.2%
원 165
 
7.6%
용 152
 
7.0%
신 49
 
2.3%
우 49
 
2.3%
대 48
 
2.2%
성 48
 
2.2%
동 47
 
2.2%
발 43
 
2.0%
관 28
 
1.3%
Other values (258) 1342
61.8%
Lowercase Letter
ValueCountFrequency (%)
h 5
11.9%
i 5
11.9%
r 5
11.9%
b 4
9.5%
e 3
7.1%
p 3
7.1%
o 3
7.1%
a 3
7.1%
n 2
 
4.8%
t 2
 
4.8%
Other values (6) 7
16.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
16.7%
H 1
16.7%
T 1
16.7%
R 1
16.7%
M 1
16.7%
C 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
0 1
25.0%
8 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2170
95.7%
Common 49
 
2.2%
Latin 48
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 199
 
9.2%
원 165
 
7.6%
용 152
 
7.0%
신 49
 
2.3%
우 49
 
2.3%
대 48
 
2.2%
성 48
 
2.2%
동 47
 
2.2%
발 43
 
2.0%
관 28
 
1.3%
Other values (258) 1342
61.8%
Latin
ValueCountFrequency (%)
h 5
 
10.4%
i 5
 
10.4%
r 5
 
10.4%
b 4
 
8.3%
e 3
 
6.2%
p 3
 
6.2%
o 3
 
6.2%
a 3
 
6.2%
n 2
 
4.2%
t 2
 
4.2%
Other values (12) 13
27.1%
Common
ValueCountFrequency (%)
30
61.2%
( 6
 
12.2%
) 6
 
12.2%
. 1
 
2.0%
2 1
 
2.0%
˚ 1
 
2.0%
0 1
 
2.0%
8 1
 
2.0%
1 1
 
2.0%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2170
95.7%
ASCII 96
 
4.2%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 199
 
9.2%
원 165
 
7.6%
용 152
 
7.0%
신 49
 
2.3%
우 49
 
2.3%
대 48
 
2.2%
성 48
 
2.2%
동 47
 
2.2%
발 43
 
2.0%
관 28
 
1.3%
Other values (258) 1342
61.8%
ASCII
ValueCountFrequency (%)
30
31.2%
( 6
 
6.2%
) 6
 
6.2%
h 5
 
5.2%
i 5
 
5.2%
r 5
 
5.2%
b 4
 
4.2%
e 3
 
3.1%
p 3
 
3.1%
o 3
 
3.1%
Other values (21) 26
27.1%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

최종수정일자
Date

Distinct405
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1998-12-28 00:00:00
Maximum2024-04-19 11:44:08
2024-05-11T14:43:16.790702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:16.950459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
I
536 
U
119 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 536
81.8%
U 119
 
18.2%

Length

2024-05-11T14:43:17.088285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:17.198194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 536
81.8%
u 119
 
18.2%

데이터갱신일자
Date

Distinct88
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:00:00
2024-05-11T14:43:17.322576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:17.510836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
일반이용업
644 
이용업 기타
 
11

Length

Max length6
Median length5
Mean length5.0167939
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 644
98.3%
이용업 기타 11
 
1.7%

Length

2024-05-11T14:43:17.640180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:17.747485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 644
96.7%
이용업 11
 
1.7%
기타 11
 
1.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct452
Distinct (%)72.8%
Missing34
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean207606.02
Minimum206270.97
Maximum209892.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:17.882523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206270.97
5-th percentile206584.25
Q1206919.11
median207508.16
Q3208261.98
95-th percentile208934.75
Maximum209892.63
Range3621.6618
Interquartile range (IQR)1342.8718

Descriptive statistics

Standard deviation778.65954
Coefficient of variation (CV)0.0037506598
Kurtosis-0.92352452
Mean207606.02
Median Absolute Deviation (MAD)656.17422
Skewness0.39196137
Sum1.2892334 × 108
Variance606310.67
MonotonicityNot monotonic
2024-05-11T14:43:18.084181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208826.080479215 8
 
1.2%
207196.812066047 7
 
1.1%
206584.248505631 5
 
0.8%
206966.083443672 5
 
0.8%
208658.077732594 5
 
0.8%
207163.791145804 4
 
0.6%
206764.330728385 4
 
0.6%
209217.316962415 4
 
0.6%
207593.822519254 4
 
0.6%
206709.963587281 4
 
0.6%
Other values (442) 571
87.2%
(Missing) 34
 
5.2%
ValueCountFrequency (%)
206270.96670005 1
0.2%
206303.819050483 1
0.2%
206316.270834781 1
0.2%
206322.49602413 1
0.2%
206345.47354923 2
0.3%
206368.067800804 1
0.2%
206385.589885782 1
0.2%
206400.509608473 1
0.2%
206402.468320713 1
0.2%
206411.123593498 1
0.2%
ValueCountFrequency (%)
209892.628462066 1
 
0.2%
209493.910124005 1
 
0.2%
209478.962361621 2
0.3%
209295.944272549 1
 
0.2%
209217.316962415 4
0.6%
209177.682798072 1
 
0.2%
209158.629853248 3
0.5%
209144.172317054 1
 
0.2%
209113.869071049 3
0.5%
209102.80768251 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct452
Distinct (%)72.8%
Missing34
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean454745.32
Minimum452131.29
Maximum457270.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:18.271484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452131.29
5-th percentile452921.01
Q1453946.71
median454749.41
Q3455450.75
95-th percentile456855.13
Maximum457270.96
Range5139.6746
Interquartile range (IQR)1504.0368

Descriptive statistics

Standard deviation1150.9713
Coefficient of variation (CV)0.0025310239
Kurtosis-0.50308094
Mean454745.32
Median Absolute Deviation (MAD)745.92909
Skewness0.10151774
Sum2.8239684 × 108
Variance1324734.9
MonotonicityNot monotonic
2024-05-11T14:43:18.432404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455184.106068148 8
 
1.2%
452955.98208017 7
 
1.1%
454361.245901234 5
 
0.8%
456693.746141199 5
 
0.8%
454894.790220198 5
 
0.8%
454984.412728653 4
 
0.6%
454711.739232552 4
 
0.6%
455401.22211416 4
 
0.6%
454242.189806715 4
 
0.6%
456761.195198645 4
 
0.6%
Other values (442) 571
87.2%
(Missing) 34
 
5.2%
ValueCountFrequency (%)
452131.289461027 1
0.2%
452208.402958775 1
0.2%
452218.427242593 1
0.2%
452260.988197478 1
0.2%
452284.905148413 1
0.2%
452334.938512659 1
0.2%
452381.649960899 1
0.2%
452482.991079979 1
0.2%
452520.014426715 2
0.3%
452564.449965493 1
0.2%
ValueCountFrequency (%)
457270.964039779 1
 
0.2%
457259.341543859 1
 
0.2%
457244.303803004 1
 
0.2%
457219.258635161 1
 
0.2%
457171.920790419 1
 
0.2%
457147.000481656 1
 
0.2%
457134.652291135 2
0.3%
457125.953319556 3
0.5%
457122.700436003 1
 
0.2%
457120.207807724 1
 
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
일반이용업
615 
<NA>
 
32
이용업 기타
 
8

Length

Max length6
Median length5
Mean length4.9633588
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 615
93.9%
<NA> 32
 
4.9%
이용업 기타 8
 
1.2%

Length

2024-05-11T14:43:18.589626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:18.732355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 615
92.8%
na 32
 
4.8%
이용업 8
 
1.2%
기타 8
 
1.2%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.2%
Missing144
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean1.1428571
Minimum0
Maximum14
Zeros317
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:18.857006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8131175
Coefficient of variation (CV)1.5864778
Kurtosis8.2688881
Mean1.1428571
Median Absolute Deviation (MAD)0
Skewness2.2137216
Sum584
Variance3.287395
MonotonicityNot monotonic
2024-05-11T14:43:19.018642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 317
48.4%
2 54
 
8.2%
3 52
 
7.9%
4 36
 
5.5%
1 28
 
4.3%
5 17
 
2.6%
7 2
 
0.3%
6 2
 
0.3%
14 1
 
0.2%
11 1
 
0.2%
(Missing) 144
22.0%
ValueCountFrequency (%)
0 317
48.4%
1 28
 
4.3%
2 54
 
8.2%
3 52
 
7.9%
4 36
 
5.5%
5 17
 
2.6%
6 2
 
0.3%
7 2
 
0.3%
11 1
 
0.2%
12 1
 
0.2%
ValueCountFrequency (%)
14 1
 
0.2%
12 1
 
0.2%
11 1
 
0.2%
7 2
 
0.3%
6 2
 
0.3%
5 17
 
2.6%
4 36
5.5%
3 52
7.9%
2 54
8.2%
1 28
4.3%

건물지하층수
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
414 
<NA>
187 
1
48 
2
 
5
5
 
1

Length

Max length4
Median length1
Mean length1.8564885
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 414
63.2%
<NA> 187
28.5%
1 48
 
7.3%
2 5
 
0.8%
5 1
 
0.2%

Length

2024-05-11T14:43:19.225022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:19.417821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 414
63.2%
na 187
28.5%
1 48
 
7.3%
2 5
 
0.8%
5 1
 
0.2%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.5%
Missing199
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean0.55921053
Minimum0
Maximum11
Zeros269
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:19.574149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.95893865
Coefficient of variation (CV)1.7148079
Kurtosis34.248705
Mean0.55921053
Median Absolute Deviation (MAD)0
Skewness4.3291638
Sum255
Variance0.91956333
MonotonicityNot monotonic
2024-05-11T14:43:19.717868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 269
41.1%
1 153
23.4%
2 20
 
3.1%
4 6
 
0.9%
3 4
 
0.6%
5 3
 
0.5%
11 1
 
0.2%
(Missing) 199
30.4%
ValueCountFrequency (%)
0 269
41.1%
1 153
23.4%
2 20
 
3.1%
3 4
 
0.6%
4 6
 
0.9%
5 3
 
0.5%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
5 3
 
0.5%
4 6
 
0.9%
3 4
 
0.6%
2 20
 
3.1%
1 153
23.4%
0 269
41.1%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)5.5%
Missing545
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean1.2545455
Minimum0
Maximum5
Zeros13
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:19.883200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99019379
Coefficient of variation (CV)0.7892849
Kurtosis4.3947156
Mean1.2545455
Median Absolute Deviation (MAD)0
Skewness1.9496888
Sum138
Variance0.98048374
MonotonicityNot monotonic
2024-05-11T14:43:20.041910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 75
 
11.5%
0 13
 
2.0%
2 12
 
1.8%
4 5
 
0.8%
3 3
 
0.5%
5 2
 
0.3%
(Missing) 545
83.2%
ValueCountFrequency (%)
0 13
 
2.0%
1 75
11.5%
2 12
 
1.8%
3 3
 
0.5%
4 5
 
0.8%
5 2
 
0.3%
ValueCountFrequency (%)
5 2
 
0.3%
4 5
 
0.8%
3 3
 
0.5%
2 12
 
1.8%
1 75
11.5%
0 13
 
2.0%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
346 
<NA>
267 
1
40 
2
 
2

Length

Max length4
Median length1
Mean length2.2229008
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 346
52.8%
<NA> 267
40.8%
1 40
 
6.1%
2 2
 
0.3%

Length

2024-05-11T14:43:20.186060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:20.369754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 346
52.8%
na 267
40.8%
1 40
 
6.1%
2 2
 
0.3%

사용끝지하층
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
605 
1
 
26
0
 
21
2
 
3

Length

Max length4
Median length4
Mean length3.7709924
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> 605
92.4%
1 26
 
4.0%
0 21
 
3.2%
2 3
 
0.5%

Length

2024-05-11T14:43:20.593303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:20.808190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 605
92.4%
1 26
 
4.0%
0 21
 
3.2%
2 3
 
0.5%

한실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
438 
<NA>
217 

Length

Max length4
Median length1
Mean length1.9938931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 438
66.9%
<NA> 217
33.1%

Length

2024-05-11T14:43:21.022243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:21.206999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 438
66.9%
na 217
33.1%

양실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
438 
<NA>
217 

Length

Max length4
Median length1
Mean length1.9938931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 438
66.9%
<NA> 217
33.1%

Length

2024-05-11T14:43:21.370717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:21.499171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 438
66.9%
na 217
33.1%

욕실수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
438 
<NA>
217 

Length

Max length4
Median length1
Mean length1.9938931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 438
66.9%
<NA> 217
33.1%

Length

2024-05-11T14:43:21.657646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:21.827704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 438
66.9%
na 217
33.1%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing40
Missing (%)6.1%
Memory size1.4 KiB
False
615 
(Missing)
 
40
ValueCountFrequency (%)
False 615
93.9%
(Missing) 40
 
6.1%
2024-05-11T14:43:21.943682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)1.9%
Missing37
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean3.763754
Minimum0
Maximum13
Zeros20
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T14:43:22.051078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.2253542
Coefficient of variation (CV)0.59125919
Kurtosis1.3578719
Mean3.763754
Median Absolute Deviation (MAD)1
Skewness1.2180896
Sum2326
Variance4.9522011
MonotonicityNot monotonic
2024-05-11T14:43:22.209372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 195
29.8%
2 154
23.5%
4 81
12.4%
5 44
 
6.7%
7 31
 
4.7%
6 28
 
4.3%
8 23
 
3.5%
0 20
 
3.1%
9 16
 
2.4%
10 14
 
2.1%
Other values (2) 12
 
1.8%
(Missing) 37
 
5.6%
ValueCountFrequency (%)
0 20
 
3.1%
1 10
 
1.5%
2 154
23.5%
3 195
29.8%
4 81
12.4%
5 44
 
6.7%
6 28
 
4.3%
7 31
 
4.7%
8 23
 
3.5%
9 16
 
2.4%
ValueCountFrequency (%)
13 2
 
0.3%
10 14
 
2.1%
9 16
 
2.4%
8 23
 
3.5%
7 31
 
4.7%
6 28
 
4.3%
5 44
 
6.7%
4 81
12.4%
3 195
29.8%
2 154
23.5%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing655
Missing (%)100.0%
Memory size5.9 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
612 
임대
 
43

Length

Max length4
Median length4
Mean length3.8687023
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 612
93.4%
임대 43
 
6.6%

Length

2024-05-11T14:43:22.424788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:22.601176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 612
93.4%
임대 43
 
6.6%

세탁기수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
553 
0
102 

Length

Max length4
Median length4
Mean length3.5328244
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> 553
84.4%
0 102
 
15.6%

Length

2024-05-11T14:43:22.808583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:22.947074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 553
84.4%
0 102
 
15.6%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
612 
0
 
38
1
 
5

Length

Max length4
Median length4
Mean length3.8030534
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> 612
93.4%
0 38
 
5.8%
1 5
 
0.8%

Length

2024-05-11T14:43:23.147969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:23.353643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 612
93.4%
0 38
 
5.8%
1 5
 
0.8%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
611 
0
 
32
1
 
11
2
 
1

Length

Max length4
Median length4
Mean length3.7984733
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 611
93.3%
0 32
 
4.9%
1 11
 
1.7%
2 1
 
0.2%

Length

2024-05-11T14:43:23.489304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:23.634940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 611
93.3%
0 32
 
4.9%
1 11
 
1.7%
2 1
 
0.2%

회수건조수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
562 
0
93 

Length

Max length4
Median length4
Mean length3.5740458
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> 562
85.8%
0 93
 
14.2%

Length

2024-05-11T14:43:23.757838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:23.861995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 562
85.8%
0 93
 
14.2%

침대수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
562 
0
91 
1
 
2

Length

Max length4
Median length4
Mean length3.5740458
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> 562
85.8%
0 91
 
13.9%
1 2
 
0.3%

Length

2024-05-11T14:43:23.988219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:24.128795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 562
85.8%
0 91
 
13.9%
1 2
 
0.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing32
Missing (%)4.9%
Memory size1.4 KiB
False
623 
(Missing)
 
32
ValueCountFrequency (%)
False 623
95.1%
(Missing) 32
 
4.9%
2024-05-11T14:43:24.219823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
030600003060000-203-1900-0039519000713<NA>3폐업2폐업20010801<NA><NA><NA>020495967918.26131828서울특별시 중랑구 면목동 647-10번지<NA><NA>팔팔2002-12-10 00:00:00I2018-08-31 23:59:59.0일반이용업207374.771824453142.926651일반이용업000<NA>0<NA>000N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
130600003060000-203-1947-0044219470625<NA>3폐업2폐업19931110<NA><NA><NA>020976048021.37131848서울특별시 중랑구 묵동 318-1번지<NA><NA>현대2001-10-04 00:00:00I2018-08-31 23:59:59.0일반이용업206963.505526457120.207808일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
230600003060000-203-1967-0038819670708<NA>3폐업2폐업19960425<NA><NA><NA>02 436176719.08131862서울특별시 중랑구 상봉동 216-0번지<NA><NA>새마을2001-10-04 00:00:00I2018-08-31 23:59:59.0일반이용업207625.897326455497.281828일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
330600003060000-203-1970-0035019700814<NA>3폐업2폐업20190625<NA><NA><NA><NA>16.5131830서울특별시 중랑구 면목동 375-1번지서울특별시 중랑구 면목로27나길 15 (면목동)2243중앙2019-06-25 14:14:02U2019-06-27 02:40:00.0일반이용업207227.240022452588.411522일반이용업1<NA><NA><NA><NA><NA><NA><NA><NA>N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
430600003060000-203-1970-0053019701112<NA>3폐업2폐업20010930<NA><NA><NA>020433916920.1131809서울특별시 중랑구 망우동 494-2번지<NA><NA>천우2002-01-10 00:00:00I2018-08-31 23:59:59.0일반이용업208362.862427455035.333237일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
530600003060000-203-1970-005311970-12-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 792848743.0131-876서울특별시 중랑구 중화동 285-9서울특별시 중랑구 동일로138길 10, 지층 (중화동)2050우주2024-01-02 11:06:18I2023-12-01 00:04:00.0일반이용업206987.713282455641.773787<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
630600003060000-203-1971-0036919711122<NA>3폐업2폐업20141230<NA><NA><NA>02 436778219.8131814서울특별시 중랑구 면목동 410-19번지서울특별시 중랑구 면목로58길 19 (면목동)2209신흥2004-01-08 00:00:00I2018-08-31 23:59:59.0일반이용업207838.924336453596.713651일반이용업2<NA><NA><NA><NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
730600003060000-203-1971-0040519710930<NA>3폐업2폐업19951122<NA><NA><NA>02 436992714.72131857서울특별시 중랑구 상봉동 339-1번지<NA><NA>봉황2001-10-04 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
830600003060000-203-1971-0044619711228<NA>1영업/정상1영업<NA><NA><NA><NA>020435038816.5131876서울특별시 중랑구 중화동 148-88서울특별시 중랑구 동일로130길 57 (중화동)2089은성2021-01-06 14:44:31U2021-01-08 02:40:00.0일반이용업207254.284437455344.391902일반이용업2<NA><NA><NA><NA><NA><NA><NA><NA>N2<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
930600003060000-203-1971-0055719710217<NA>1영업/정상1영업<NA><NA><NA><NA>02 434112749.5131868서울특별시 중랑구 신내동 456-3서울특별시 중랑구 봉화산로56길 70 (신내동)2069광창2021-01-20 11:06:54U2021-01-22 02:40:00.0일반이용업208562.721289455932.356576일반이용업2<NA><NA><NA><NA><NA><NA><NA><NA>N5<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
64530600003060000-203-2021-0000120210225<NA>3폐업2폐업20220805<NA><NA><NA><NA>10.0131809서울특별시 중랑구 망우동 572 용마프라자서울특별시 중랑구 봉우재로71길 18, 3층 (망우동, 용마프라자)2167신우림이용원2022-08-05 13:41:30U2021-12-08 00:07:00.0일반이용업208658.077733454894.79022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64630600003060000-203-2022-0000120220321<NA>1영업/정상1영업<NA><NA><NA><NA><NA>12.02131823서울특별시 중랑구 면목동 183-30서울특별시 중랑구 동일로105길 20 (면목동)2129삼호2022-03-21 11:38:38I2022-03-23 00:22:45.0일반이용업206897.260289454324.409305일반이용업000000000N2<NA><NA><NA><NA>00000N
64730600003060000-203-2022-0000220220413<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.71131826서울특별시 중랑구 면목동 371-130서울특별시 중랑구 면목로 252, 1층 (면목동)2253바버샵2022-04-13 11:32:52I2021-12-03 23:05:00.0일반이용업207496.306456452564.449965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64830600003060000-203-2022-0000320220630<NA>1영업/정상1영업<NA><NA><NA><NA><NA>14.85131811서울특별시 중랑구 면목동 22-16 풀하우스서울특별시 중랑구 용마산로93길 10, 102호 (면목동, 풀하우스)2200복지이발2022-06-30 09:50:06I2021-12-07 00:02:00.0일반이용업208432.775317454158.83159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
64930600003060000-203-2022-0000420220701<NA>1영업/정상1영업<NA><NA><NA><NA><NA>25.0131828서울특별시 중랑구 면목동 623-1 롯데마트서울특별시 중랑구 면목로40길 20, 롯데마트 1층 (면목동)2252복지이발소2022-07-01 10:30:42I2021-12-07 00:03:00.0일반이용업207720.290528452945.498042<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65030600003060000-203-2022-0000520221026<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.0131815서울특별시 중랑구 면목동 70-170 경부주택서울특별시 중랑구 겸재로54길 29, 경부주택 1층 (면목동)2202더 플랫 바버샵2022-10-26 13:30:53I2021-10-30 22:08:00.0일반이용업208046.769045453958.840966<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65130600003060000-203-2023-000012023-03-03<NA>1영업/정상1영업<NA><NA><NA><NA>0708880828733.59131-818서울특별시 중랑구 면목동 502-24 영우오렌지하우스서울특별시 중랑구 면목로57길 12, 1층 101호 (면목동, 영우오렌지하우스)2220터프가위2023-03-03 11:27:37I2022-12-03 00:05:00.0일반이용업207681.943093453616.447842<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65230600003060000-203-2023-000022023-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>34.86131-821서울특별시 중랑구 면목동 150-26서울특별시 중랑구 겸재로 118, 1층 (면목동)2215하이포인트(Highpoint barbershop)2023-03-13 10:59:17I2022-12-02 23:05:00.0일반이용업207087.458942453815.518555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65330600003060000-203-2023-000032023-07-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.37131-220서울특별시 중랑구 상봉동 500 상봉 프레미어스 엠코서울특별시 중랑구 망우로 353, 비주거동 1층 씨-112호 (상봉동, 상봉 프레미어스 엠코)2087태이빌리지 바버샵2023-07-21 09:45:05I2022-12-06 22:03:00.0일반이용업207923.745923455090.718335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
65430600003060000-203-2023-000042023-09-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.29131-847서울특별시 중랑구 묵동 153-37서울특별시 중랑구 공릉로12가길 52-3, 1층 (묵동)2030디벨롭 바버샵2023-09-04 14:28:34I2022-12-09 00:06:00.0일반이용업207215.295548457259.341544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>