Overview

Dataset statistics

Number of variables44
Number of observations211
Missing cells2191
Missing cells (%)23.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.8 KiB
Average record size in memory377.6 B

Variable types

Categorical19
Text7
DateTime3
Unsupported7
Numeric7
Boolean1

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,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-18536/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
전통업소주된음식 has constant value ""Constant
위생업태명 is highly imbalanced (53.3%)Imbalance
총인원 is highly imbalanced (89.2%)Imbalance
본사종업원수 is highly imbalanced (89.2%)Imbalance
공장사무직종업원수 is highly imbalanced (89.2%)Imbalance
공장판매직종업원수 is highly imbalanced (89.2%)Imbalance
공장생산직종업원수 is highly imbalanced (89.2%)Imbalance
보증액 is highly imbalanced (89.2%)Imbalance
월세액 is highly imbalanced (89.2%)Imbalance
다중이용업소여부 is highly imbalanced (58.3%)Imbalance
인허가취소일자 has 211 (100.0%) missing valuesMissing
폐업일자 has 45 (21.3%) missing valuesMissing
휴업시작일자 has 211 (100.0%) missing valuesMissing
휴업종료일자 has 211 (100.0%) missing valuesMissing
재개업일자 has 211 (100.0%) missing valuesMissing
전화번호 has 27 (12.8%) missing valuesMissing
소재지면적 has 17 (8.1%) missing valuesMissing
도로명주소 has 149 (70.6%) missing valuesMissing
도로명우편번호 has 149 (70.6%) missing valuesMissing
좌표정보(X) has 6 (2.8%) missing valuesMissing
좌표정보(Y) has 6 (2.8%) missing valuesMissing
남성종사자수 has 63 (29.9%) missing valuesMissing
건물소유구분명 has 211 (100.0%) missing valuesMissing
다중이용업소여부 has 21 (10.0%) missing valuesMissing
시설총규모 has 21 (10.0%) missing valuesMissing
전통업소지정번호 has 211 (100.0%) missing valuesMissing
전통업소주된음식 has 210 (99.5%) missing valuesMissing
홈페이지 has 211 (100.0%) 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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 108 (51.2%) zerosZeros
시설총규모 has 17 (8.1%) zerosZeros

Reproduction

Analysis started2024-04-06 12:49:20.056523
Analysis finished2024-04-06 12:49:21.331276
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3090000
211 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 211
100.0%

Length

2024-04-06T21:49:21.484143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:21.682491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 211
100.0%

관리번호
Text

UNIQUE 

Distinct211
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T21:49:22.018056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4642
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

Unique211 ?
Unique (%)100.0%

Sample

1st row3090000-103-1990-02324
2nd row3090000-103-1993-00030
3rd row3090000-103-1993-00039
4th row3090000-103-1993-00202
5th row3090000-103-1993-00276
ValueCountFrequency (%)
3090000-103-1990-02324 1
 
0.5%
3090000-103-1996-00842 1
 
0.5%
3090000-103-1997-01140 1
 
0.5%
3090000-103-1996-03337 1
 
0.5%
3090000-103-1996-03338 1
 
0.5%
3090000-103-1996-03339 1
 
0.5%
3090000-103-1996-03340 1
 
0.5%
3090000-103-1997-00185 1
 
0.5%
3090000-103-1997-00338 1
 
0.5%
3090000-103-1997-00684 1
 
0.5%
Other values (201) 201
95.3%
2024-04-06T21:49:22.638588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1687
36.3%
9 635
 
13.7%
- 633
 
13.6%
3 559
 
12.0%
1 517
 
11.1%
2 146
 
3.1%
4 142
 
3.1%
6 96
 
2.1%
7 84
 
1.8%
5 76
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4009
86.4%
Dash Punctuation 633
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1687
42.1%
9 635
 
15.8%
3 559
 
13.9%
1 517
 
12.9%
2 146
 
3.6%
4 142
 
3.5%
6 96
 
2.4%
7 84
 
2.1%
5 76
 
1.9%
8 67
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 633
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4642
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1687
36.3%
9 635
 
13.7%
- 633
 
13.6%
3 559
 
12.0%
1 517
 
11.1%
2 146
 
3.1%
4 142
 
3.1%
6 96
 
2.1%
7 84
 
1.8%
5 76
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1687
36.3%
9 635
 
13.7%
- 633
 
13.6%
3 559
 
12.0%
1 517
 
11.1%
2 146
 
3.1%
4 142
 
3.1%
6 96
 
2.1%
7 84
 
1.8%
5 76
 
1.6%

인허가일자
Date

Distinct183
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1990-12-28 00:00:00
Maximum2023-11-09 00:00:00
2024-04-06T21:49:22.953797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:49:23.254487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3
166 
1
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 166
78.7%
1 45
 
21.3%

Length

2024-04-06T21:49:23.504045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:23.746998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 166
78.7%
1 45
 
21.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
166 
영업/정상
45 

Length

Max length5
Median length2
Mean length2.6398104
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 166
78.7%
영업/정상 45
 
21.3%

Length

2024-04-06T21:49:24.292070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:24.556838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 166
78.7%
영업/정상 45
 
21.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2
166 
1
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 166
78.7%
1 45
 
21.3%

Length

2024-04-06T21:49:24.755049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:24.998023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 166
78.7%
1 45
 
21.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
166 
영업
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 166
78.7%
영업 45
 
21.3%

Length

2024-04-06T21:49:25.216247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:25.408687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 166
78.7%
영업 45
 
21.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)84.9%
Missing45
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean20027983
Minimum19940502
Maximum20211115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T21:49:25.618890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940502
5-th percentile19950273
Q119971139
median20001218
Q320070371
95-th percentile20190800
Maximum20211115
Range270613
Interquartile range (IQR)99231.5

Descriptive statistics

Standard deviation71358.985
Coefficient of variation (CV)0.0035629642
Kurtosis0.27205248
Mean20027983
Median Absolute Deviation (MAD)49289.5
Skewness0.97627799
Sum3.3246451 × 109
Variance5.0921048 × 109
MonotonicityNot monotonic
2024-04-06T21:49:25.878964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080123 8
 
3.8%
20021007 7
 
3.3%
20020926 3
 
1.4%
19980403 2
 
0.9%
19980326 2
 
0.9%
20020905 2
 
0.9%
20070205 2
 
0.9%
19950523 2
 
0.9%
19950516 2
 
0.9%
19951222 2
 
0.9%
Other values (131) 134
63.5%
(Missing) 45
 
21.3%
ValueCountFrequency (%)
19940502 1
0.5%
19940510 1
0.5%
19940630 1
0.5%
19940923 1
0.5%
19941011 1
0.5%
19941123 2
0.9%
19950210 1
0.5%
19950225 1
0.5%
19950418 1
0.5%
19950425 1
0.5%
ValueCountFrequency (%)
20211115 1
0.5%
20210823 1
0.5%
20210719 1
0.5%
20210528 1
0.5%
20210426 1
0.5%
20200210 1
0.5%
20191231 1
0.5%
20191101 1
0.5%
20190829 1
0.5%
20190711 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct166
Distinct (%)90.2%
Missing27
Missing (%)12.8%
Memory size1.8 KiB
2024-04-06T21:49:26.311127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.951087
Min length2

Characters and Unicode

Total characters1831
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

Unique159 ?
Unique (%)86.4%

Sample

1st row02 9008011
2nd row02 900 8245
3rd row0234929644
4th row02 900 1195
5th row0200000000
ValueCountFrequency (%)
02 117
37.7%
0200000000 10
 
3.2%
00000 3
 
1.0%
9905030 2
 
0.6%
903 2
 
0.6%
900 2
 
0.6%
997 2
 
0.6%
9557007 2
 
0.6%
9001818 2
 
0.6%
9087063 2
 
0.6%
Other values (166) 166
53.5%
2024-04-06T21:49:27.540916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 455
24.8%
2 279
15.2%
9 277
15.1%
143
 
7.8%
5 129
 
7.0%
3 121
 
6.6%
4 113
 
6.2%
6 95
 
5.2%
1 82
 
4.5%
7 72
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1688
92.2%
Space Separator 143
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 455
27.0%
2 279
16.5%
9 277
16.4%
5 129
 
7.6%
3 121
 
7.2%
4 113
 
6.7%
6 95
 
5.6%
1 82
 
4.9%
7 72
 
4.3%
8 65
 
3.9%
Space Separator
ValueCountFrequency (%)
143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1831
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 455
24.8%
2 279
15.2%
9 277
15.1%
143
 
7.8%
5 129
 
7.0%
3 121
 
6.6%
4 113
 
6.2%
6 95
 
5.2%
1 82
 
4.5%
7 72
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 455
24.8%
2 279
15.2%
9 277
15.1%
143
 
7.8%
5 129
 
7.0%
3 121
 
6.6%
4 113
 
6.2%
6 95
 
5.2%
1 82
 
4.5%
7 72
 
3.9%

소재지면적
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)99.0%
Missing17
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean114.37124
Minimum37.6
Maximum668.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T21:49:27.888401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.6
5-th percentile54.3855
Q181.1225
median104.525
Q3133.53
95-th percentile148.9325
Maximum668.01
Range630.41
Interquartile range (IQR)52.4075

Descriptive statistics

Standard deviation73.208464
Coefficient of variation (CV)0.64009506
Kurtosis35.030361
Mean114.37124
Median Absolute Deviation (MAD)24.56
Skewness5.3587202
Sum22188.02
Variance5359.4793
MonotonicityNot monotonic
2024-04-06T21:49:28.135037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.42 2
 
0.9%
147.29 2
 
0.9%
141.29 1
 
0.5%
114.34 1
 
0.5%
131.17 1
 
0.5%
119.14 1
 
0.5%
140.48 1
 
0.5%
121.98 1
 
0.5%
37.6 1
 
0.5%
104.48 1
 
0.5%
Other values (182) 182
86.3%
(Missing) 17
 
8.1%
ValueCountFrequency (%)
37.6 1
0.5%
38.19 1
0.5%
41.48 1
0.5%
44.73 1
0.5%
44.92 1
0.5%
48.32 1
0.5%
49.0 1
0.5%
49.07 1
0.5%
51.2 1
0.5%
52.78 1
0.5%
ValueCountFrequency (%)
668.01 1
0.5%
644.65 1
0.5%
481.51 1
0.5%
451.57 1
0.5%
206.73 1
0.5%
155.27 1
0.5%
154.0 1
0.5%
150.51 1
0.5%
149.13 1
0.5%
149.03 1
0.5%

소재지우편번호
Text

Distinct53
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T21:49:28.555175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0663507
Min length6

Characters and Unicode

Total characters1280
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

Unique18 ?
Unique (%)8.5%

Sample

1st row132866
2nd row132925
3rd row132-849
4th row132917
5th row132820
ValueCountFrequency (%)
132898 28
 
13.3%
132851 13
 
6.2%
132924 13
 
6.2%
132820 11
 
5.2%
132853 11
 
5.2%
132846 10
 
4.7%
132926 9
 
4.3%
132848 8
 
3.8%
132917 8
 
3.8%
132854 5
 
2.4%
Other values (43) 95
45.0%
2024-04-06T21:49:29.178361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 266
20.8%
1 264
20.6%
3 234
18.3%
8 196
15.3%
9 117
9.1%
4 62
 
4.8%
5 44
 
3.4%
0 41
 
3.2%
6 33
 
2.6%
- 14
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1266
98.9%
Dash Punctuation 14
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 266
21.0%
1 264
20.9%
3 234
18.5%
8 196
15.5%
9 117
9.2%
4 62
 
4.9%
5 44
 
3.5%
0 41
 
3.2%
6 33
 
2.6%
7 9
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 266
20.8%
1 264
20.6%
3 234
18.3%
8 196
15.3%
9 117
9.1%
4 62
 
4.8%
5 44
 
3.4%
0 41
 
3.2%
6 33
 
2.6%
- 14
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 266
20.8%
1 264
20.6%
3 234
18.3%
8 196
15.3%
9 117
9.1%
4 62
 
4.8%
5 44
 
3.4%
0 41
 
3.2%
6 33
 
2.6%
- 14
 
1.1%

지번주소
Text

Distinct188
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T21:49:29.710752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length23.255924
Min length17

Characters and Unicode

Total characters4907
Distinct characters55
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

Unique168 ?
Unique (%)79.6%

Sample

1st row서울특별시 도봉구 쌍문동 88-1번지
2nd row서울특별시 도봉구 창동 651-35번지
3rd row서울특별시 도봉구 방학동 673-10
4th row서울특별시 도봉구 창동 552-13
5th row서울특별시 도봉구 도봉동 617-21번지
ValueCountFrequency (%)
서울특별시 211
22.9%
도봉구 211
22.9%
창동 89
 
9.7%
방학동 73
 
7.9%
지하1층 35
 
3.8%
도봉동 30
 
3.3%
쌍문동 19
 
2.1%
지상1층 12
 
1.3%
715-6번지 4
 
0.4%
581-76번지 3
 
0.3%
Other values (196) 233
25.3%
2024-04-06T21:49:30.561391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
897
18.3%
봉 241
 
4.9%
도 241
 
4.9%
지 239
 
4.9%
동 212
 
4.3%
서 211
 
4.3%
구 211
 
4.3%
울 211
 
4.3%
시 211
 
4.3%
별 211
 
4.3%
Other values (45) 2022
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2814
57.3%
Decimal Number 987
 
20.1%
Space Separator 897
 
18.3%
Dash Punctuation 200
 
4.1%
Uppercase Letter 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 241
 
8.6%
도 241
 
8.6%
지 239
 
8.5%
동 212
 
7.5%
서 211
 
7.5%
구 211
 
7.5%
울 211
 
7.5%
시 211
 
7.5%
별 211
 
7.5%
특 211
 
7.5%
Other values (27) 615
21.9%
Decimal Number
ValueCountFrequency (%)
1 203
20.6%
6 183
18.5%
5 122
12.4%
0 93
9.4%
2 90
9.1%
3 85
8.6%
7 68
 
6.9%
4 58
 
5.9%
9 45
 
4.6%
8 40
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
897
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2814
57.3%
Common 2090
42.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 241
 
8.6%
도 241
 
8.6%
지 239
 
8.5%
동 212
 
7.5%
서 211
 
7.5%
구 211
 
7.5%
울 211
 
7.5%
시 211
 
7.5%
별 211
 
7.5%
특 211
 
7.5%
Other values (27) 615
21.9%
Common
ValueCountFrequency (%)
897
42.9%
1 203
 
9.7%
- 200
 
9.6%
6 183
 
8.8%
5 122
 
5.8%
0 93
 
4.4%
2 90
 
4.3%
3 85
 
4.1%
7 68
 
3.3%
4 58
 
2.8%
Other values (6) 91
 
4.4%
Latin
ValueCountFrequency (%)
B 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2814
57.3%
ASCII 2093
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
897
42.9%
1 203
 
9.7%
- 200
 
9.6%
6 183
 
8.7%
5 122
 
5.8%
0 93
 
4.4%
2 90
 
4.3%
3 85
 
4.1%
7 68
 
3.2%
4 58
 
2.8%
Other values (8) 94
 
4.5%
Hangul
ValueCountFrequency (%)
봉 241
 
8.6%
도 241
 
8.6%
지 239
 
8.5%
동 212
 
7.5%
서 211
 
7.5%
구 211
 
7.5%
울 211
 
7.5%
시 211
 
7.5%
별 211
 
7.5%
특 211
 
7.5%
Other values (27) 615
21.9%

도로명주소
Text

MISSING 

Distinct62
Distinct (%)100.0%
Missing149
Missing (%)70.6%
Memory size1.8 KiB
2024-04-06T21:49:31.091251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length28.33871
Min length22

Characters and Unicode

Total characters1757
Distinct characters61
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

Unique62 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 도봉로110길 67 (창동)
2nd row서울특별시 도봉구 방학로 125, 지하1층 (방학동)
3rd row서울특별시 도봉구 덕릉로54길 6, 지층 (창동)
4th row서울특별시 도봉구 도봉로 492 (창동)
5th row서울특별시 도봉구 도봉로 739, 지하1층 (도봉동)
ValueCountFrequency (%)
서울특별시 62
17.2%
도봉구 62
17.2%
지하1층 29
 
8.1%
도봉로 22
 
6.1%
창동 22
 
6.1%
방학동 20
 
5.6%
도봉동 10
 
2.8%
방학로 8
 
2.2%
쌍문동 7
 
1.9%
덕릉로 5
 
1.4%
Other values (93) 113
31.4%
2024-04-06T21:49:31.851927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298
 
17.0%
도 105
 
6.0%
봉 102
 
5.8%
1 86
 
4.9%
) 64
 
3.6%
( 63
 
3.6%
시 63
 
3.6%
동 62
 
3.5%
서 62
 
3.5%
구 62
 
3.5%
Other values (51) 790
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
57.5%
Space Separator 298
 
17.0%
Decimal Number 264
 
15.0%
Close Punctuation 64
 
3.6%
Open Punctuation 63
 
3.6%
Other Punctuation 49
 
2.8%
Dash Punctuation 6
 
0.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 105
 
10.4%
봉 102
 
10.1%
시 63
 
6.2%
동 62
 
6.1%
서 62
 
6.1%
구 62
 
6.1%
별 62
 
6.1%
특 62
 
6.1%
울 62
 
6.1%
로 60
 
5.9%
Other values (33) 308
30.5%
Decimal Number
ValueCountFrequency (%)
1 86
32.6%
5 28
 
10.6%
6 27
 
10.2%
2 26
 
9.8%
7 22
 
8.3%
4 18
 
6.8%
9 17
 
6.4%
0 16
 
6.1%
3 14
 
5.3%
8 10
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
B 1
33.3%
Q 1
33.3%
Space Separator
ValueCountFrequency (%)
298
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
57.5%
Common 744
42.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 105
 
10.4%
봉 102
 
10.1%
시 63
 
6.2%
동 62
 
6.1%
서 62
 
6.1%
구 62
 
6.1%
별 62
 
6.1%
특 62
 
6.1%
울 62
 
6.1%
로 60
 
5.9%
Other values (33) 308
30.5%
Common
ValueCountFrequency (%)
298
40.1%
1 86
 
11.6%
) 64
 
8.6%
( 63
 
8.5%
, 49
 
6.6%
5 28
 
3.8%
6 27
 
3.6%
2 26
 
3.5%
7 22
 
3.0%
4 18
 
2.4%
Other values (5) 63
 
8.5%
Latin
ValueCountFrequency (%)
E 1
33.3%
B 1
33.3%
Q 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
57.5%
ASCII 747
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
298
39.9%
1 86
 
11.5%
) 64
 
8.6%
( 63
 
8.4%
, 49
 
6.6%
5 28
 
3.7%
6 27
 
3.6%
2 26
 
3.5%
7 22
 
2.9%
4 18
 
2.4%
Other values (8) 66
 
8.8%
Hangul
ValueCountFrequency (%)
도 105
 
10.4%
봉 102
 
10.1%
시 63
 
6.2%
동 62
 
6.1%
서 62
 
6.1%
구 62
 
6.1%
별 62
 
6.1%
특 62
 
6.1%
울 62
 
6.1%
로 60
 
5.9%
Other values (33) 308
30.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)51.6%
Missing149
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean1390.9677
Minimum1302
Maximum1477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T21:49:32.116031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1302
5-th percentile1303.35
Q11343
median1400
Q31442.75
95-th percentile1472.9
Maximum1477
Range175
Interquartile range (IQR)99.75

Descriptive statistics

Standard deviation55.725018
Coefficient of variation (CV)0.040062049
Kurtosis-1.4277022
Mean1390.9677
Median Absolute Deviation (MAD)55
Skewness-0.023361519
Sum86240
Variance3105.2776
MonotonicityNot monotonic
2024-04-06T21:49:32.400435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1414 7
 
3.3%
1455 6
 
2.8%
1340 4
 
1.9%
1473 3
 
1.4%
1405 3
 
1.4%
1442 3
 
1.4%
1302 2
 
0.9%
1303 2
 
0.9%
1390 2
 
0.9%
1345 2
 
0.9%
Other values (22) 28
 
13.3%
(Missing) 149
70.6%
ValueCountFrequency (%)
1302 2
0.9%
1303 2
0.9%
1310 2
0.9%
1321 1
 
0.5%
1328 2
0.9%
1333 1
 
0.5%
1340 4
1.9%
1342 1
 
0.5%
1343 2
0.9%
1344 2
0.9%
ValueCountFrequency (%)
1477 1
 
0.5%
1473 3
1.4%
1471 1
 
0.5%
1470 1
 
0.5%
1455 6
2.8%
1453 2
 
0.9%
1447 1
 
0.5%
1443 1
 
0.5%
1442 3
1.4%
1432 1
 
0.5%

사업장명
Text

Distinct190
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T21:49:32.915379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length3.7677725
Min length1

Characters and Unicode

Total characters795
Distinct characters247
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)82.5%

Sample

1st row소피아크럽
2nd row사이조케
3rd row낙원7080
4th row산타나
5th row도봉
ValueCountFrequency (%)
태평양 5
 
2.3%
단란주점 4
 
1.8%
월드 3
 
1.4%
팡팡 3
 
1.4%
워커힐 3
 
1.4%
금강산 3
 
1.4%
황제 2
 
0.9%
로마 2
 
0.9%
다이아몬드 2
 
0.9%
퀸 2
 
0.9%
Other values (186) 193
86.9%
2024-04-06T21:49:33.735098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
3.1%
점 24
 
3.0%
아 21
 
2.6%
이 19
 
2.4%
단 18
 
2.3%
란 18
 
2.3%
스 16
 
2.0%
리 12
 
1.5%
나 12
 
1.5%
드 12
 
1.5%
Other values (237) 618
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
93.8%
Decimal Number 27
 
3.4%
Space Separator 11
 
1.4%
Uppercase Letter 5
 
0.6%
Other Punctuation 4
 
0.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
3.4%
점 24
 
3.2%
아 21
 
2.8%
이 19
 
2.5%
단 18
 
2.4%
란 18
 
2.4%
스 16
 
2.1%
리 12
 
1.6%
나 12
 
1.6%
드 12
 
1.6%
Other values (222) 569
76.3%
Decimal Number
ValueCountFrequency (%)
0 11
40.7%
8 5
18.5%
7 5
18.5%
2 2
 
7.4%
1 2
 
7.4%
5 1
 
3.7%
3 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
S 2
40.0%
O 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
93.8%
Common 44
 
5.5%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
3.4%
점 24
 
3.2%
아 21
 
2.8%
이 19
 
2.5%
단 18
 
2.4%
란 18
 
2.4%
스 16
 
2.1%
리 12
 
1.6%
나 12
 
1.6%
드 12
 
1.6%
Other values (222) 569
76.3%
Common
ValueCountFrequency (%)
11
25.0%
0 11
25.0%
8 5
11.4%
7 5
11.4%
. 3
 
6.8%
2 2
 
4.5%
1 2
 
4.5%
5 1
 
2.3%
) 1
 
2.3%
( 1
 
2.3%
Other values (2) 2
 
4.5%
Latin
ValueCountFrequency (%)
B 2
40.0%
S 2
40.0%
O 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
93.8%
ASCII 49
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
3.4%
점 24
 
3.2%
아 21
 
2.8%
이 19
 
2.5%
단 18
 
2.4%
란 18
 
2.4%
스 16
 
2.1%
리 12
 
1.6%
나 12
 
1.6%
드 12
 
1.6%
Other values (222) 569
76.3%
ASCII
ValueCountFrequency (%)
11
22.4%
0 11
22.4%
8 5
10.2%
7 5
10.2%
. 3
 
6.1%
B 2
 
4.1%
2 2
 
4.1%
S 2
 
4.1%
1 2
 
4.1%
5 1
 
2.0%
Other values (5) 5
10.2%

최종수정일자
Date

Distinct136
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1999-05-21 00:00:00
Maximum2024-04-04 13:44:28
2024-04-06T21:49:34.028333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:49:34.321120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
I
166 
U
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 166
78.7%
U 45
 
21.3%

Length

2024-04-06T21:49:34.574627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:34.775083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 166
78.7%
u 45
 
21.3%

데이터갱신일자
Date

Distinct40
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:49:34.977800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:49:35.257419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
단란주점
211 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 211
100.0%

Length

2024-04-06T21:49:35.509145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:35.707396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 211
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)76.1%
Missing6
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean203546.41
Minimum201095.9
Maximum204641.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T21:49:35.955155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201095.9
5-th percentile202950.49
Q1203211.27
median203470.84
Q3203837.54
95-th percentile204356.81
Maximum204641.87
Range3545.9692
Interquartile range (IQR)626.27012

Descriptive statistics

Standard deviation510.27662
Coefficient of variation (CV)0.0025069301
Kurtosis3.650832
Mean203546.41
Median Absolute Deviation (MAD)313.19278
Skewness-0.67392239
Sum41727014
Variance260382.23
MonotonicityNot monotonic
2024-04-06T21:49:36.273830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204317.264907404 4
 
1.9%
203409.539086122 4
 
1.9%
204335.057042232 3
 
1.4%
202949.283476247 3
 
1.4%
203306.984664652 3
 
1.4%
203343.625934341 3
 
1.4%
202966.7837047 3
 
1.4%
203707.350156589 3
 
1.4%
203106.171916717 3
 
1.4%
203088.529020092 2
 
0.9%
Other values (146) 174
82.5%
(Missing) 6
 
2.8%
ValueCountFrequency (%)
201095.903057318 1
 
0.5%
201109.927189862 1
 
0.5%
202838.404808501 1
 
0.5%
202896.590941598 1
 
0.5%
202906.274984497 1
 
0.5%
202935.163178358 1
 
0.5%
202937.247114112 1
 
0.5%
202941.180765428 1
 
0.5%
202949.283476247 3
1.4%
202955.333693514 2
0.9%
ValueCountFrequency (%)
204641.872260793 1
 
0.5%
204462.811445887 2
0.9%
204397.004135761 1
 
0.5%
204383.782399605 2
0.9%
204380.842681685 2
0.9%
204365.037901995 2
0.9%
204357.382835077 1
 
0.5%
204354.5 2
0.9%
204348.91 2
0.9%
204335.057042232 3
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)76.1%
Missing6
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean461852.65
Minimum459422.51
Maximum464977.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T21:49:36.535299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459422.51
5-th percentile459629.03
Q1461085.18
median461707.69
Q3462668.79
95-th percentile463692.49
Maximum464977.79
Range5555.2796
Interquartile range (IQR)1583.6122

Descriptive statistics

Standard deviation1225.1886
Coefficient of variation (CV)0.0026527695
Kurtosis-0.044474146
Mean461852.65
Median Absolute Deviation (MAD)830.30255
Skewness0.19976364
Sum94679793
Variance1501087.1
MonotonicityNot monotonic
2024-04-06T21:49:36.804153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461224.014056627 4
 
1.9%
461511.016387003 4
 
1.9%
461157.210858518 3
 
1.4%
460514.368488726 3
 
1.4%
459651.160107779 3
 
1.4%
461518.674931852 3
 
1.4%
460551.406386109 3
 
1.4%
462764.266861155 3
 
1.4%
462531.459064558 3
 
1.4%
460968.27605232 2
 
0.9%
Other values (146) 174
82.5%
(Missing) 6
 
2.8%
ValueCountFrequency (%)
459422.511111519 1
0.5%
459435.21817536 1
0.5%
459454.577890756 1
0.5%
459467.444022286 1
0.5%
459467.698786211 1
0.5%
459513.292335092 1
0.5%
459520.660717027 1
0.5%
459545.804647458 1
0.5%
459596.859470058 1
0.5%
459619.8218038 1
0.5%
ValueCountFrequency (%)
464977.790753524 2
0.9%
464945.629321349 1
0.5%
464935.839309566 1
0.5%
464800.42589157 1
0.5%
464725.202550965 1
0.5%
464693.409209649 1
0.5%
464559.878016906 1
0.5%
464348.605576958 1
0.5%
464215.186872943 1
0.5%
463698.447305753 1
0.5%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
단란주점
190 
<NA>
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 190
90.0%
<NA> 21
 
10.0%

Length

2024-04-06T21:49:37.056808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:37.248573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 190
90.0%
na 21
 
10.0%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.1%
Missing63
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean0.35135135
Minimum-1
Maximum4
Zeros108
Zeros (%)51.2%
Negative1
Negative (%)0.5%
Memory size2.0 KiB
2024-04-06T21:49:37.469645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum4
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.70821098
Coefficient of variation (CV)2.0156774
Kurtosis6.4441362
Mean0.35135135
Median Absolute Deviation (MAD)0
Skewness2.2881823
Sum52
Variance0.50156279
MonotonicityNot monotonic
2024-04-06T21:49:37.696178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 108
51.2%
1 29
 
13.7%
2 7
 
3.3%
3 2
 
0.9%
-1 1
 
0.5%
4 1
 
0.5%
(Missing) 63
29.9%
ValueCountFrequency (%)
-1 1
 
0.5%
0 108
51.2%
1 29
 
13.7%
2 7
 
3.3%
3 2
 
0.9%
4 1
 
0.5%
ValueCountFrequency (%)
4 1
 
0.5%
3 2
 
0.9%
2 7
 
3.3%
1 29
 
13.7%
0 108
51.2%
-1 1
 
0.5%

여성종사자수
Categorical

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
103 
<NA>
64 
1
31 
2
12 
-1
 
1

Length

Max length4
Median length1
Mean length1.9146919
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row1
2nd row1
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 103
48.8%
<NA> 64
30.3%
1 31
 
14.7%
2 12
 
5.7%
-1 1
 
0.5%

Length

2024-04-06T21:49:38.010716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:38.337990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
48.8%
na 64
30.3%
1 32
 
15.2%
2 12
 
5.7%

영업장주변구분명
Categorical

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
주택가주변
81 
<NA>
53 
기타
47 
유흥업소밀집지역
25 
학교정화(상대)
 
3

Length

Max length8
Median length7
Mean length4.4976303
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택가주변 81
38.4%
<NA> 53
25.1%
기타 47
22.3%
유흥업소밀집지역 25
 
11.8%
학교정화(상대) 3
 
1.4%
결혼예식장주변 2
 
0.9%

Length

2024-04-06T21:49:38.590883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:38.816192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택가주변 81
38.4%
na 53
25.1%
기타 47
22.3%
유흥업소밀집지역 25
 
11.8%
학교정화(상대 3
 
1.4%
결혼예식장주변 2
 
0.9%

등급구분명
Categorical

Distinct7
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
71 
기타
58 
자율
46 
우수
28 
지도
 
4
Other values (2)
 
4

Length

Max length4
Median length2
Mean length2.6682464
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
33.6%
기타 58
27.5%
자율 46
21.8%
우수 28
 
13.3%
지도 4
 
1.9%
관리 3
 
1.4%
을 1
 
0.5%

Length

2024-04-06T21:49:39.193561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:39.535757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
33.6%
기타 58
27.5%
자율 46
21.8%
우수 28
 
13.3%
지도 4
 
1.9%
관리 3
 
1.4%
을 1
 
0.5%

급수시설구분명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
상수도전용
160 
<NA>
50 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length5
Mean length4.8199052
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 160
75.8%
<NA> 50
 
23.7%
상수도(음용)지하수(주방용)겸용 1
 
0.5%

Length

2024-04-06T21:49:39.828684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:40.036924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 160
75.8%
na 50
 
23.7%
상수도(음용)지하수(주방용)겸용 1
 
0.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:40.301400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:40.519274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:40.781812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:41.010751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:41.227062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:41.470652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:41.684739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:41.893447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:42.101526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:42.299361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:42.978678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:43.161527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
208 
0
 
3

Length

Max length4
Median length4
Mean length3.957346
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> 208
98.6%
0 3
 
1.4%

Length

2024-04-06T21:49:43.380186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:49:43.569661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 208
98.6%
0 3
 
1.4%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.1%
Missing21
Missing (%)10.0%
Memory size554.0 B
False
174 
True
 
16
(Missing)
21 
ValueCountFrequency (%)
False 174
82.5%
True 16
 
7.6%
(Missing) 21
 
10.0%
2024-04-06T21:49:43.750030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct172
Distinct (%)90.5%
Missing21
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean105.45674
Minimum0
Maximum668.01
Zeros17
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T21:49:43.976834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176.1775
median100.3
Q3130.8225
95-th percentile148.714
Maximum668.01
Range668.01
Interquartile range (IQR)54.645

Descriptive statistics

Standard deviation80.035977
Coefficient of variation (CV)0.75894608
Kurtosis26.421257
Mean105.45674
Median Absolute Deviation (MAD)26.315
Skewness4.2642284
Sum20036.78
Variance6405.7577
MonotonicityNot monotonic
2024-04-06T21:49:44.337375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
8.1%
147.29 2
 
0.9%
115.42 2
 
0.9%
37.6 1
 
0.5%
143.13 1
 
0.5%
59.22 1
 
0.5%
88.32 1
 
0.5%
146.0 1
 
0.5%
131.17 1
 
0.5%
119.14 1
 
0.5%
Other values (162) 162
76.8%
(Missing) 21
 
10.0%
ValueCountFrequency (%)
0.0 17
8.1%
37.6 1
 
0.5%
38.19 1
 
0.5%
41.48 1
 
0.5%
44.92 1
 
0.5%
48.32 1
 
0.5%
49.07 1
 
0.5%
51.2 1
 
0.5%
52.78 1
 
0.5%
55.25 1
 
0.5%
ValueCountFrequency (%)
668.01 1
0.5%
644.65 1
0.5%
481.51 1
0.5%
451.57 1
0.5%
155.27 1
0.5%
154.0 1
0.5%
149.13 1
0.5%
149.03 1
0.5%
148.88 1
0.5%
148.84 1
0.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

전통업소주된음식
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing210
Missing (%)99.5%
Memory size1.8 KiB
2024-04-06T21:49:44.567425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row+
ValueCountFrequency (%)
1
100.0%
2024-04-06T21:49:44.992993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Math Symbol 1
100.0%

Most frequent character per category

Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1
100.0%

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing211
Missing (%)100.0%
Memory size2.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030900003090000-103-1990-0232419901228<NA>3폐업2폐업20000704<NA><NA><NA>02 9008011668.01132866서울특별시 도봉구 쌍문동 88-1번지<NA><NA>소피아크럽2000-07-04 00:00:00I2018-08-31 23:59:59.0단란주점203088.52902460968.276052단란주점11주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N668.01<NA><NA><NA>
130900003090000-103-1993-0003019931214<NA>1영업/정상1영업<NA><NA><NA><NA>02 900 824581.48132925서울특별시 도봉구 창동 651-35번지서울특별시 도봉구 도봉로110길 67 (창동)1455사이조케2019-03-13 13:30:46U2019-03-15 02:40:00.0단란주점203226.291783460449.879095단란주점11주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y81.48<NA><NA><NA>
230900003090000-103-1993-000391993-11-19<NA>1영업/정상1영업<NA><NA><NA><NA>0234929644102.03132-849서울특별시 도봉구 방학동 673-10서울특별시 도봉구 방학로 125, 지하1층 (방학동)1390낙원70802023-05-31 14:59:10U2022-12-06 00:02:00.0단란주점203316.991754462252.635199<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330900003090000-103-1993-0020219931108<NA>1영업/정상1영업<NA><NA><NA><NA>02 900 119573.0132917서울특별시 도봉구 창동 552-13서울특별시 도봉구 덕릉로54길 6, 지층 (창동)1477산타나2022-10-17 14:47:45U2021-10-30 23:09:00.0단란주점203245.832205459467.698786<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430900003090000-103-1993-0027619931213<NA>3폐업2폐업19980403<NA><NA><NA>0200000000122.74132820서울특별시 도봉구 도봉동 617-21번지<NA><NA>도봉2002-01-18 00:00:00I2018-08-31 23:59:59.0단란주점203784.030842463306.561201단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N122.74<NA><NA><NA>
530900003090000-103-1993-0028119931115<NA>3폐업2폐업20080123<NA><NA><NA>023492664781.28132849서울특별시 도봉구 방학동 676-14번지<NA><NA>펑크2002-08-09 00:00:00I2018-08-31 23:59:59.0단란주점203470.013567462249.384194단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N81.28<NA><NA><NA>
630900003090000-103-1993-0032619931228<NA>3폐업2폐업19961007<NA><NA><NA>0287.84132821서울특별시 도봉구 도봉동 623-123번지<NA><NA>동남2002-01-18 00:00:00I2018-08-31 23:59:59.0단란주점204015.770775463287.403652단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N87.84<NA><NA><NA>
730900003090000-103-1993-0044819931102<NA>1영업/정상1영업<NA><NA><NA><NA>02 996055848.32132924서울특별시 도봉구 창동 661-33번지서울특별시 도봉구 도봉로 492 (창동)1453금강산2019-03-13 13:33:43U2019-03-15 02:40:00.0단란주점203062.72317460764.698405단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y48.32<NA><NA><NA>
830900003090000-103-1993-0071319931202<NA>3폐업2폐업20050708<NA><NA><NA>02 998031668.15132892서울특별시 도봉구 쌍문동 556-0번지<NA><NA>뻑쇠2003-01-09 00:00:00I2018-08-31 23:59:59.0단란주점203387.811107461810.627509단란주점01주택가주변우수상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.15<NA><NA><NA>
930900003090000-103-1993-0073919931115<NA>3폐업2폐업19951115<NA><NA><NA>0209031746142.17132853서울특별시 도봉구 방학동 703-65번지<NA><NA>백안관2002-01-30 00:00:00I2018-08-31 23:59:59.0단란주점203667.956662462483.140794단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N142.17<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
20130900003090000-103-2010-000022010-07-08<NA>1영업/정상1영업<NA><NA><NA><NA>02 903340782.26132-924서울특별시 도봉구 창동 655-26 지하1층서울특별시 도봉구 도봉로110길 11, 지하1층 (창동)14557080라이브밀라노2023-09-18 14:40:38U2022-12-08 22:00:00.0단란주점202955.333694460443.519933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20230900003090000-103-2011-0000120110314<NA>3폐업2폐업20210823<NA><NA><NA>02 9924888451.57132908서울특별시 도봉구 창동 333-1 (지하1층)서울특별시 도봉구 노해로65길 7-12 (창동,(지하1층))1405신세계2021-08-23 14:03:05U2021-08-25 02:40:00.0단란주점203974.826952461040.287041단란주점00유흥업소밀집지역<NA>상수도전용00000<NA>00N451.57<NA><NA><NA>
20330900003090000-103-2012-0000120120608<NA>3폐업2폐업20140312<NA><NA><NA>02 9037022481.51132866서울특별시 도봉구 쌍문동 88-1번지 지하1층서울특별시 도봉구 도봉로 511, 지하1층 (쌍문동)1442명월관클럽2014-02-21 17:09:16I2018-08-31 23:59:59.0단란주점203088.52902460968.276052단란주점<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N481.51<NA><NA><NA>
20430900003090000-103-2012-0000220121019<NA>3폐업2폐업20180806<NA><NA><NA><NA>83.53132898서울특별시 도봉구 창동 10번지서울특별시 도봉구 노해로69길 15-15, 지하2층 (창동, 점보빌딩))1414창동국빈관단란주점2018-08-06 13:45:48I2018-08-31 23:59:59.0단란주점204335.057042461157.210859단란주점<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y83.53<NA><NA><NA>
20530900003090000-103-2014-0000120140307<NA>1영업/정상1영업<NA><NA><NA><NA><NA>148.56132898서울특별시 도봉구 창동 6번지 콤마빌딩서울특별시 도봉구 마들로11가길 15, 4층 401호,402일부호 (창동, 콤마빌딩)1414환희주점2014-03-13 15:19:54I2018-08-31 23:59:59.0단란주점204279.415461140.88단란주점<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y148.56<NA><NA><NA>
20630900003090000-103-2014-000022014-12-18<NA>1영업/정상1영업<NA><NA><NA><NA>02 907 1571206.73132-898서울특별시 도봉구 창동 13 유진빌딩 7층서울특별시 도봉구 마들로11길 65, 7층 (창동, 유진빌딩)1414명동주점2023-09-27 11:17:19U2022-12-08 22:09:00.0단란주점204317.264907461224.014057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20730900003090000-103-2015-0000120150216<NA>1영업/정상1영업<NA><NA><NA><NA><NA>66.93132898서울특별시 도봉구 창동 13-2 B101호서울특별시 도봉구 마들로11길 57, B1층 101호 (창동, EQ빌딩)1414창동노래타운2022-09-16 17:39:18U2021-12-08 23:08:00.0단란주점204357.382835461235.763311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20830900003090000-103-2017-0000120170209<NA>3폐업2폐업20210528<NA><NA><NA><NA>126.46132924서울특별시 도봉구 창동 655-12서울특별시 도봉구 도봉로 460-1, 지상6층 (창동)1455빛과같은여자단란주점2021-05-28 14:15:16U2021-05-30 02:40:00.0단란주점202937.247114460489.078428단란주점<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y126.46<NA><NA><NA>
20930900003090000-103-2018-0000120180823<NA>1영업/정상1영업<NA><NA><NA><NA><NA>67.09132898서울특별시 도봉구 창동 10번지서울특별시 도봉구 노해로69길 15-15, 지하2층 (창동)1414창동주점2018-11-20 11:57:59U2018-11-22 02:37:06.0단란주점204335.057042461157.210859단란주점<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y67.09<NA><NA><NA>
21030900003090000-103-2023-000012023-11-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>125.68132-924서울특별시 도봉구 창동 655-15서울특별시 도봉구 도봉로 464, 지하1층 (창동)1455힐링캠프2023-11-09 14:24:27I2022-10-31 23:01:00.0단란주점202949.283476460514.368489<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>