Overview

Dataset statistics

Number of variables44
Number of observations33
Missing cells555
Missing cells (%)38.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory382.0 B

Variable types

Categorical14
Text5
DateTime3
Unsupported15
Numeric6
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18555/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 22 (66.7%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 5 (15.2%) missing valuesMissing
도로명주소 has 7 (21.2%) missing valuesMissing
도로명우편번호 has 8 (24.2%) missing valuesMissing
좌표정보(X) has 2 (6.1%) missing valuesMissing
좌표정보(Y) has 2 (6.1%) missing valuesMissing
총인원 has 33 (100.0%) missing valuesMissing
본사종업원수 has 33 (100.0%) missing valuesMissing
공장사무직종업원수 has 33 (100.0%) missing valuesMissing
공장판매직종업원수 has 33 (100.0%) missing valuesMissing
공장생산직종업원수 has 33 (100.0%) missing valuesMissing
건물소유구분명 has 33 (100.0%) missing valuesMissing
보증액 has 33 (100.0%) missing valuesMissing
월세액 has 33 (100.0%) missing valuesMissing
다중이용업소여부 has 7 (21.2%) missing valuesMissing
시설총규모 has 7 (21.2%) missing valuesMissing
전통업소지정번호 has 33 (100.0%) missing valuesMissing
전통업소주된음식 has 33 (100.0%) missing valuesMissing
홈페이지 has 33 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
소재지면적 has unique valuesUnique
지번주소 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
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장사무직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장판매직종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직종업원수 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
보증액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월세액 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
전통업소주된음식 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

Reproduction

Analysis started2024-04-06 12:50:05.134893
Analysis finished2024-04-06 12:50:06.092056
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3030000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 33
100.0%

Length

2024-04-06T21:50:06.371822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:06.687833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 33
100.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T21:50:07.031486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters726
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

Unique33 ?
Unique (%)100.0%

Sample

1st row3030000-102-1977-01097
2nd row3030000-102-1978-01126
3rd row3030000-102-1978-01127
4th row3030000-102-1979-01125
5th row3030000-102-1979-01128
ValueCountFrequency (%)
3030000-102-1977-01097 1
 
3.0%
3030000-102-2001-06884 1
 
3.0%
3030000-102-2014-00001 1
 
3.0%
3030000-102-2013-00001 1
 
3.0%
3030000-102-2012-00001 1
 
3.0%
3030000-102-2011-00001 1
 
3.0%
3030000-102-2010-00001 1
 
3.0%
3030000-102-2009-00002 1
 
3.0%
3030000-102-2009-00001 1
 
3.0%
3030000-102-2008-00001 1
 
3.0%
Other values (23) 23
69.7%
2024-04-06T21:50:07.689389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 314
43.3%
- 99
 
13.6%
1 95
 
13.1%
3 74
 
10.2%
2 62
 
8.5%
9 29
 
4.0%
8 17
 
2.3%
7 13
 
1.8%
6 11
 
1.5%
5 7
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 627
86.4%
Dash Punctuation 99
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 314
50.1%
1 95
 
15.2%
3 74
 
11.8%
2 62
 
9.9%
9 29
 
4.6%
8 17
 
2.7%
7 13
 
2.1%
6 11
 
1.8%
5 7
 
1.1%
4 5
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 726
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 314
43.3%
- 99
 
13.6%
1 95
 
13.1%
3 74
 
10.2%
2 62
 
8.5%
9 29
 
4.0%
8 17
 
2.3%
7 13
 
1.8%
6 11
 
1.5%
5 7
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 314
43.3%
- 99
 
13.6%
1 95
 
13.1%
3 74
 
10.2%
2 62
 
8.5%
9 29
 
4.0%
8 17
 
2.3%
7 13
 
1.8%
6 11
 
1.5%
5 7
 
1.0%

인허가일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1977-05-04 00:00:00
Maximum2016-12-12 00:00:00
2024-04-06T21:50:08.078180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:50:08.417905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
22 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
66.7%
3 11
33.3%

Length

2024-04-06T21:50:08.700675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:08.996394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
66.7%
3 11
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
22 
폐업
11 

Length

Max length5
Median length5
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
66.7%
폐업 11
33.3%

Length

2024-04-06T21:50:09.280090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:09.484991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
66.7%
폐업 11
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
22 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
66.7%
2 11
33.3%

Length

2024-04-06T21:50:09.701218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:09.928630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
66.7%
2 11
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업
22 
폐업
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 22
66.7%
폐업 11
33.3%

Length

2024-04-06T21:50:10.139419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:10.335679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 22
66.7%
폐업 11
33.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing22
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20089612
Minimum20020626
Maximum20200214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T21:50:10.517687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020626
5-th percentile20020820
Q120035364
median20060529
Q320140573
95-th percentile20180370
Maximum20200214
Range179588
Interquartile range (IQR)105209.5

Descriptive statistics

Standard deviation63845.163
Coefficient of variation (CV)0.0031780187
Kurtosis-1.2371179
Mean20089612
Median Absolute Deviation (MAD)39903
Skewness0.50463273
Sum2.2098574 × 108
Variance4.0762049 × 109
MonotonicityNot monotonic
2024-04-06T21:50:11.174917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20060529 1
 
3.0%
20160315 1
 
3.0%
20040421 1
 
3.0%
20021015 1
 
3.0%
20110429 1
 
3.0%
20060523 1
 
3.0%
20020626 1
 
3.0%
20030306 1
 
3.0%
20120831 1
 
3.0%
20160526 1
 
3.0%
(Missing) 22
66.7%
ValueCountFrequency (%)
20020626 1
3.0%
20021015 1
3.0%
20030306 1
3.0%
20040421 1
3.0%
20060523 1
3.0%
20060529 1
3.0%
20110429 1
3.0%
20120831 1
3.0%
20160315 1
3.0%
20160526 1
3.0%
ValueCountFrequency (%)
20200214 1
3.0%
20160526 1
3.0%
20160315 1
3.0%
20120831 1
3.0%
20110429 1
3.0%
20060529 1
3.0%
20060523 1
3.0%
20040421 1
3.0%
20030306 1
3.0%
20021015 1
3.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing5
Missing (%)15.2%
Memory size396.0 B
2024-04-06T21:50:11.508819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.357143
Min length8

Characters and Unicode

Total characters290
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

Unique28 ?
Unique (%)100.0%

Sample

1st row0222928051
2nd row0222930114
3rd row02 4645031
4th row0222997597
5th row02 4631389
ValueCountFrequency (%)
02 8
22.2%
0222495510 1
 
2.8%
0222928051 1
 
2.8%
0222941689 1
 
2.8%
0222976077 1
 
2.8%
22821717 1
 
2.8%
22810598 1
 
2.8%
22958259 1
 
2.8%
000222960990 1
 
2.8%
22951440 1
 
2.8%
Other values (19) 19
52.8%
2024-04-06T21:50:12.158380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 87
30.0%
0 50
17.2%
9 36
12.4%
4 20
 
6.9%
1 18
 
6.2%
7 16
 
5.5%
5 15
 
5.2%
8 14
 
4.8%
12
 
4.1%
3 12
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
95.9%
Space Separator 12
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 87
31.3%
0 50
18.0%
9 36
12.9%
4 20
 
7.2%
1 18
 
6.5%
7 16
 
5.8%
5 15
 
5.4%
8 14
 
5.0%
3 12
 
4.3%
6 10
 
3.6%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 87
30.0%
0 50
17.2%
9 36
12.4%
4 20
 
6.9%
1 18
 
6.2%
7 16
 
5.5%
5 15
 
5.2%
8 14
 
4.8%
12
 
4.1%
3 12
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 87
30.0%
0 50
17.2%
9 36
12.4%
4 20
 
6.9%
1 18
 
6.2%
7 16
 
5.5%
5 15
 
5.2%
8 14
 
4.8%
12
 
4.1%
3 12
 
4.1%

소재지면적
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.15394
Minimum52.47
Maximum542.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T21:50:12.454103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.47
5-th percentile61.044
Q175.43
median122.12
Q3156.85
95-th percentile228.664
Maximum542.99
Range490.52
Interquartile range (IQR)81.42

Descriptive statistics

Standard deviation89.487347
Coefficient of variation (CV)0.66211423
Kurtosis13.281177
Mean135.15394
Median Absolute Deviation (MAD)42.6
Skewness3.1249448
Sum4460.08
Variance8007.9853
MonotonicityNot monotonic
2024-04-06T21:50:12.690927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
100.54 1
 
3.0%
145.27 1
 
3.0%
150.43 1
 
3.0%
95.13 1
 
3.0%
97.34 1
 
3.0%
139.94 1
 
3.0%
72.04 1
 
3.0%
208.26 1
 
3.0%
129.0 1
 
3.0%
542.99 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
52.47 1
3.0%
57.81 1
3.0%
63.2 1
3.0%
64.2 1
3.0%
66.13 1
3.0%
72.04 1
3.0%
75.14 1
3.0%
75.21 1
3.0%
75.43 1
3.0%
80.2 1
3.0%
ValueCountFrequency (%)
542.99 1
3.0%
259.27 1
3.0%
208.26 1
3.0%
202.83 1
3.0%
190.74 1
3.0%
181.08 1
3.0%
179.6 1
3.0%
164.72 1
3.0%
156.85 1
3.0%
154.67 1
3.0%

소재지우편번호
Categorical

Distinct12
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
133882
19 
133867
2 
133836
2 
133010
2 
133832
 
1
Other values (7)
7 

Length

Max length7
Median length6
Mean length6.0606061
Min length6

Unique

Unique8 ?
Unique (%)24.2%

Sample

1st row133867
2nd row133882
3rd row133832
4th row133812
5th row133825

Common Values

ValueCountFrequency (%)
133882 19
57.6%
133867 2
 
6.1%
133836 2
 
6.1%
133010 2
 
6.1%
133832 1
 
3.0%
133812 1
 
3.0%
133825 1
 
3.0%
133880 1
 
3.0%
133040 1
 
3.0%
133850 1
 
3.0%
Other values (2) 2
 
6.1%

Length

2024-04-06T21:50:12.957148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
133882 19
57.6%
133867 2
 
6.1%
133836 2
 
6.1%
133010 2
 
6.1%
133832 1
 
3.0%
133812 1
 
3.0%
133825 1
 
3.0%
133880 1
 
3.0%
133040 1
 
3.0%
133850 1
 
3.0%
Other values (2) 2
 
6.1%

지번주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T21:50:13.324891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length22.818182
Min length16

Characters and Unicode

Total characters753
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 행당동 267-17번지
2nd row서울특별시 성동구 도선동 58번지
3rd row서울특별시 성동구 성수동2가 281-30번지
4th row서울특별시 성동구 마장동 474-1번지
5th row서울특별시 성동구 성수동1가 671-71번지
ValueCountFrequency (%)
서울특별시 33
22.4%
성동구 33
22.4%
도선동 21
14.3%
지하1층 8
 
5.4%
행당동 2
 
1.4%
용답동 2
 
1.4%
송정동 2
 
1.4%
상왕십리동 2
 
1.4%
65 1
 
0.7%
29-0 1
 
0.7%
Other values (42) 42
28.6%
2024-04-06T21:50:14.024890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
18.9%
동 67
 
8.9%
성 35
 
4.6%
지 34
 
4.5%
서 33
 
4.4%
특 33
 
4.4%
별 33
 
4.4%
시 33
 
4.4%
구 33
 
4.4%
울 33
 
4.4%
Other values (43) 277
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
60.7%
Space Separator 142
 
18.9%
Decimal Number 124
 
16.5%
Dash Punctuation 15
 
2.0%
Other Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
14.7%
성 35
 
7.7%
지 34
 
7.4%
서 33
 
7.2%
특 33
 
7.2%
별 33
 
7.2%
시 33
 
7.2%
구 33
 
7.2%
울 33
 
7.2%
번 24
 
5.3%
Other values (28) 99
21.7%
Decimal Number
ValueCountFrequency (%)
1 28
22.6%
2 20
16.1%
6 14
11.3%
5 13
10.5%
4 11
 
8.9%
8 9
 
7.3%
7 8
 
6.5%
9 7
 
5.6%
3 7
 
5.6%
0 7
 
5.6%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
60.7%
Common 296
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
14.7%
성 35
 
7.7%
지 34
 
7.4%
서 33
 
7.2%
특 33
 
7.2%
별 33
 
7.2%
시 33
 
7.2%
구 33
 
7.2%
울 33
 
7.2%
번 24
 
5.3%
Other values (28) 99
21.7%
Common
ValueCountFrequency (%)
142
48.0%
1 28
 
9.5%
2 20
 
6.8%
- 15
 
5.1%
6 14
 
4.7%
5 13
 
4.4%
4 11
 
3.7%
8 9
 
3.0%
7 8
 
2.7%
9 7
 
2.4%
Other values (5) 29
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
60.7%
ASCII 296
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
48.0%
1 28
 
9.5%
2 20
 
6.8%
- 15
 
5.1%
6 14
 
4.7%
5 13
 
4.4%
4 11
 
3.7%
8 9
 
3.0%
7 8
 
2.7%
9 7
 
2.4%
Other values (5) 29
 
9.8%
Hangul
ValueCountFrequency (%)
동 67
14.7%
성 35
 
7.7%
지 34
 
7.4%
서 33
 
7.2%
특 33
 
7.2%
별 33
 
7.2%
시 33
 
7.2%
구 33
 
7.2%
울 33
 
7.2%
번 24
 
5.3%
Other values (28) 99
21.7%

도로명주소
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing7
Missing (%)21.2%
Memory size396.0 B
2024-04-06T21:50:14.438854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length28.730769
Min length24

Characters and Unicode

Total characters747
Distinct characters66
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 왕십리로 291-2 (행당동)
2nd row서울특별시 성동구 광나루로 334 (성수동2가)
3rd row서울특별시 성동구 고산자로 349 (마장동)
4th row서울특별시 성동구 광나루로 315 (송정동)
5th row서울특별시 성동구 광나루로 323 (송정동)
ValueCountFrequency (%)
서울특별시 26
17.8%
성동구 26
17.8%
도선동 12
 
8.2%
무학로2길 7
 
4.8%
왕십리로 5
 
3.4%
고산자로 3
 
2.1%
도선동,(지하1층 3
 
2.1%
8 3
 
2.1%
광나루로 3
 
2.1%
지하1층 3
 
2.1%
Other values (47) 55
37.7%
2024-04-06T21:50:15.115175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
16.2%
동 54
 
7.2%
2 30
 
4.0%
( 29
 
3.9%
) 29
 
3.9%
성 27
 
3.6%
서 26
 
3.5%
특 26
 
3.5%
별 26
 
3.5%
시 26
 
3.5%
Other values (56) 353
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
59.4%
Space Separator 121
 
16.2%
Decimal Number 106
 
14.2%
Open Punctuation 29
 
3.9%
Close Punctuation 29
 
3.9%
Other Punctuation 16
 
2.1%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
12.2%
성 27
 
6.1%
서 26
 
5.9%
특 26
 
5.9%
별 26
 
5.9%
시 26
 
5.9%
구 26
 
5.9%
울 26
 
5.9%
로 26
 
5.9%
도 18
 
4.1%
Other values (41) 163
36.7%
Decimal Number
ValueCountFrequency (%)
2 30
28.3%
3 19
17.9%
4 16
15.1%
1 13
12.3%
8 7
 
6.6%
0 6
 
5.7%
9 5
 
4.7%
6 4
 
3.8%
5 3
 
2.8%
7 3
 
2.8%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
59.4%
Common 303
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
12.2%
성 27
 
6.1%
서 26
 
5.9%
특 26
 
5.9%
별 26
 
5.9%
시 26
 
5.9%
구 26
 
5.9%
울 26
 
5.9%
로 26
 
5.9%
도 18
 
4.1%
Other values (41) 163
36.7%
Common
ValueCountFrequency (%)
121
39.9%
2 30
 
9.9%
( 29
 
9.6%
) 29
 
9.6%
3 19
 
6.3%
4 16
 
5.3%
, 16
 
5.3%
1 13
 
4.3%
8 7
 
2.3%
0 6
 
2.0%
Other values (5) 17
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
59.4%
ASCII 303
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
39.9%
2 30
 
9.9%
( 29
 
9.6%
) 29
 
9.6%
3 19
 
6.3%
4 16
 
5.3%
, 16
 
5.3%
1 13
 
4.3%
8 7
 
2.3%
0 6
 
2.0%
Other values (5) 17
 
5.6%
Hangul
ValueCountFrequency (%)
동 54
 
12.2%
성 27
 
6.1%
서 26
 
5.9%
특 26
 
5.9%
별 26
 
5.9%
시 26
 
5.9%
구 26
 
5.9%
울 26
 
5.9%
로 26
 
5.9%
도 18
 
4.1%
Other values (41) 163
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)36.0%
Missing8
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean4730.64
Minimum4704
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T21:50:15.335935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4704
5-th percentile4707.2
Q14709
median4709
Q34744
95-th percentile4806.6
Maximum4808
Range104
Interquartile range (IQR)35

Descriptive statistics

Standard deviation38.698493
Coefficient of variation (CV)0.0081803926
Kurtosis0.094565898
Mean4730.64
Median Absolute Deviation (MAD)0
Skewness1.3731565
Sum118266
Variance1497.5733
MonotonicityNot monotonic
2024-04-06T21:50:15.549273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4709 15
45.5%
4801 2
 
6.1%
4808 2
 
6.1%
4744 1
 
3.0%
4799 1
 
3.0%
4704 1
 
3.0%
4708 1
 
3.0%
4751 1
 
3.0%
4707 1
 
3.0%
(Missing) 8
24.2%
ValueCountFrequency (%)
4704 1
 
3.0%
4707 1
 
3.0%
4708 1
 
3.0%
4709 15
45.5%
4744 1
 
3.0%
4751 1
 
3.0%
4799 1
 
3.0%
4801 2
 
6.1%
4808 2
 
6.1%
ValueCountFrequency (%)
4808 2
 
6.1%
4801 2
 
6.1%
4799 1
 
3.0%
4751 1
 
3.0%
4744 1
 
3.0%
4709 15
45.5%
4708 1
 
3.0%
4707 1
 
3.0%
4704 1
 
3.0%

사업장명
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-06T21:50:15.910380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.1818182
Min length1

Characters and Unicode

Total characters171
Distinct characters97
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

Unique29 ?
Unique (%)87.9%

Sample

1st row가요무대
2nd row나이트크럽캔버라
3rd row유성스텐드바
4th row맨하탄
5th row경마
ValueCountFrequency (%)
폭스 2
 
5.7%
오렌지 2
 
5.7%
가요무대 1
 
2.9%
별밤 1
 
2.9%
엠비씨(mbc)노래주점 1
 
2.9%
더블유 1
 
2.9%
w 1
 
2.9%
비젼7080라이브(live 1
 
2.9%
골드 1
 
2.9%
브이아이피(vip)노래뱅크 1
 
2.9%
Other values (23) 23
65.7%
2024-04-06T21:50:16.542135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 7
 
4.1%
래 7
 
4.1%
주 6
 
3.5%
점 6
 
3.5%
0 6
 
3.5%
( 5
 
2.9%
) 5
 
2.9%
이 5
 
2.9%
스 4
 
2.3%
라 4
 
2.3%
Other values (87) 116
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
74.9%
Uppercase Letter 16
 
9.4%
Decimal Number 12
 
7.0%
Open Punctuation 5
 
2.9%
Close Punctuation 5
 
2.9%
Lowercase Letter 3
 
1.8%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 7
 
5.5%
래 7
 
5.5%
주 6
 
4.7%
점 6
 
4.7%
이 5
 
3.9%
스 4
 
3.1%
라 4
 
3.1%
브 4
 
3.1%
드 3
 
2.3%
럽 3
 
2.3%
Other values (65) 79
61.7%
Uppercase Letter
ValueCountFrequency (%)
E 3
18.8%
B 2
12.5%
C 2
12.5%
I 1
 
6.2%
L 1
 
6.2%
V 1
 
6.2%
W 1
 
6.2%
M 1
 
6.2%
A 1
 
6.2%
H 1
 
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
0 6
50.0%
7 3
25.0%
8 2
 
16.7%
2 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
p 1
33.3%
i 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
74.9%
Common 24
 
14.0%
Latin 19
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 7
 
5.5%
래 7
 
5.5%
주 6
 
4.7%
점 6
 
4.7%
이 5
 
3.9%
스 4
 
3.1%
라 4
 
3.1%
브 4
 
3.1%
드 3
 
2.3%
럽 3
 
2.3%
Other values (65) 79
61.7%
Latin
ValueCountFrequency (%)
E 3
15.8%
B 2
 
10.5%
C 2
 
10.5%
v 1
 
5.3%
p 1
 
5.3%
i 1
 
5.3%
I 1
 
5.3%
L 1
 
5.3%
V 1
 
5.3%
W 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
0 6
25.0%
( 5
20.8%
) 5
20.8%
7 3
12.5%
8 2
 
8.3%
2
 
8.3%
2 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
74.9%
ASCII 43
 
25.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 7
 
5.5%
래 7
 
5.5%
주 6
 
4.7%
점 6
 
4.7%
이 5
 
3.9%
스 4
 
3.1%
라 4
 
3.1%
브 4
 
3.1%
드 3
 
2.3%
럽 3
 
2.3%
Other values (65) 79
61.7%
ASCII
ValueCountFrequency (%)
0 6
14.0%
( 5
11.6%
) 5
11.6%
E 3
 
7.0%
7 3
 
7.0%
B 2
 
4.7%
8 2
 
4.7%
2
 
4.7%
C 2
 
4.7%
v 1
 
2.3%
Other values (12) 12
27.9%

최종수정일자
Date

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2001-10-30 00:00:00
Maximum2023-11-29 13:53:01
2024-04-06T21:50:16.779660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:50:16.998510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
21 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 21
63.6%
U 12
36.4%

Length

2024-04-06T21:50:17.270076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:17.462200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
63.6%
u 12
36.4%

데이터갱신일자
Date

Distinct13
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 22:03:00
2024-04-06T21:50:17.641331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:50:17.843377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Categorical

Distinct7
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
룸살롱
20 
비어(바)살롱
4 
스텐드바
3 
카바레
3 
관광호텔나이트(디스코)
 
1
Other values (2)
 
2

Length

Max length12
Median length3
Mean length3.8484848
Min length2

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row비어(바)살롱
2nd row관광호텔나이트(디스코)
3rd row스텐드바
4th row룸살롱
5th row스텐드바

Common Values

ValueCountFrequency (%)
룸살롱 20
60.6%
비어(바)살롱 4
 
12.1%
스텐드바 3
 
9.1%
카바레 3
 
9.1%
관광호텔나이트(디스코) 1
 
3.0%
기타 1
 
3.0%
노래클럽 1
 
3.0%

Length

2024-04-06T21:50:18.098210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:18.338118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 20
60.6%
비어(바)살롱 4
 
12.1%
스텐드바 3
 
9.1%
카바레 3
 
9.1%
관광호텔나이트(디스코 1
 
3.0%
기타 1
 
3.0%
노래클럽 1
 
3.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean203411.82
Minimum202034.05
Maximum205837.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T21:50:18.623590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202034.05
5-th percentile202384.68
Q1202957.58
median202994.99
Q3203154.51
95-th percentile205806.59
Maximum205837.64
Range3803.5857
Interquartile range (IQR)196.93481

Descriptive statistics

Standard deviation1093.087
Coefficient of variation (CV)0.0053737632
Kurtosis1.3268693
Mean203411.82
Median Absolute Deviation (MAD)62.610854
Skewness1.5992377
Sum6305766.6
Variance1194839.1
MonotonicityNot monotonic
2024-04-06T21:50:18.890233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
203032.062295363 2
 
6.1%
202974.604621727 1
 
3.0%
202985.06683232 1
 
3.0%
202994.992836268 1
 
3.0%
203103.639156263 1
 
3.0%
203005.456844582 1
 
3.0%
202990.555865701 1
 
3.0%
202958.161635853 1
 
3.0%
202967.042456635 1
 
3.0%
203006.379794188 1
 
3.0%
Other values (20) 20
60.6%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
202034.054888 1
3.0%
202042.352803057 1
3.0%
202727.017018553 1
3.0%
202882.086955343 1
3.0%
202932.381982673 1
3.0%
202941.700920402 1
3.0%
202952.063948001 1
3.0%
202956.996976159 1
3.0%
202958.161635853 1
3.0%
202961.064683932 1
3.0%
ValueCountFrequency (%)
205837.640591417 1
3.0%
205834.097987543 1
3.0%
205779.087396763 1
3.0%
205733.953454083 1
3.0%
205659.048354262 1
3.0%
203810.721683875 1
3.0%
203247.412039841 1
3.0%
203194.269628402 1
3.0%
203114.758597393 1
3.0%
203104.707004094 1
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing2
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean451020.96
Minimum449525.92
Maximum452095.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T21:50:19.232197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449525.92
5-th percentile449572.33
Q1451037.83
median451150.7
Q3451188.66
95-th percentile451857.96
Maximum452095.53
Range2569.6143
Interquartile range (IQR)150.83185

Descriptive statistics

Standard deviation619.13863
Coefficient of variation (CV)0.0013727491
Kurtosis2.0049463
Mean451020.96
Median Absolute Deviation (MAD)41.220743
Skewness-1.2958403
Sum13981650
Variance383332.64
MonotonicityNot monotonic
2024-04-06T21:50:19.483572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
451134.858622557 2
 
6.1%
451142.757421406 1
 
3.0%
451131.062597967 1
 
3.0%
451122.41359327 1
 
3.0%
451353.145288746 1
 
3.0%
451173.727412898 1
 
3.0%
451158.588973113 1
 
3.0%
451149.336298816 1
 
3.0%
451118.809600324 1
 
3.0%
451150.696474495 1
 
3.0%
Other values (20) 20
60.6%
(Missing) 2
 
6.1%
ValueCountFrequency (%)
449525.919848315 1
3.0%
449568.452388645 1
3.0%
449576.204385395 1
3.0%
449747.552427296 1
3.0%
450837.622653345 1
3.0%
450878.006168599 1
3.0%
450946.956111573 1
3.0%
450956.847789636 1
3.0%
451118.809600324 1
3.0%
451122.41359327 1
3.0%
ValueCountFrequency (%)
452095.534145692 1
3.0%
452076.36180744 1
3.0%
451639.563666 1
3.0%
451504.766995539 1
3.0%
451353.145288746 1
3.0%
451267.516899022 1
3.0%
451198.521514065 1
3.0%
451191.917217352 1
3.0%
451185.403876184 1
3.0%
451184.054287536 1
3.0%

위생업태명
Categorical

Distinct8
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
룸살롱
14 
<NA>
7 
비어(바)살롱
3 
스텐드바
3 
카바레
3 
Other values (3)
3 

Length

Max length12
Median length3
Mean length3.9393939
Min length2

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row비어(바)살롱
2nd row관광호텔나이트(디스코)
3rd row스텐드바
4th row룸살롱
5th row스텐드바

Common Values

ValueCountFrequency (%)
룸살롱 14
42.4%
<NA> 7
21.2%
비어(바)살롱 3
 
9.1%
스텐드바 3
 
9.1%
카바레 3
 
9.1%
관광호텔나이트(디스코) 1
 
3.0%
기타 1
 
3.0%
노래클럽 1
 
3.0%

Length

2024-04-06T21:50:19.767431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:20.048766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 14
42.4%
na 7
21.2%
비어(바)살롱 3
 
9.1%
스텐드바 3
 
9.1%
카바레 3
 
9.1%
관광호텔나이트(디스코 1
 
3.0%
기타 1
 
3.0%
노래클럽 1
 
3.0%

남성종사자수
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
19 
0
9 
1
4 
2
 
1

Length

Max length4
Median length4
Mean length2.7272727
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 19
57.6%
0 9
27.3%
1 4
 
12.1%
2 1
 
3.0%

Length

2024-04-06T21:50:20.358064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:20.601560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
57.6%
0 9
27.3%
1 4
 
12.1%
2 1
 
3.0%

여성종사자수
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
19 
0
9 
3
2 
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length2.7272727
Min length1

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row2
2nd row0
3rd row0
4th row3
5th row5

Common Values

ValueCountFrequency (%)
<NA> 19
57.6%
0 9
27.3%
3 2
 
6.1%
2 1
 
3.0%
5 1
 
3.0%
1 1
 
3.0%

Length

2024-04-06T21:50:20.860519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:21.144971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
57.6%
0 9
27.3%
3 2
 
6.1%
2 1
 
3.0%
5 1
 
3.0%
1 1
 
3.0%

영업장주변구분명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
17 
유흥업소밀집지역
7 
주택가주변
6 
기타
3 

Length

Max length8
Median length4
Mean length4.8484848
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row유흥업소밀집지역
3rd row주택가주변
4th row주택가주변
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 17
51.5%
유흥업소밀집지역 7
21.2%
주택가주변 6
 
18.2%
기타 3
 
9.1%

Length

2024-04-06T21:50:21.398060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:21.635189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
51.5%
유흥업소밀집지역 7
21.2%
주택가주변 6
 
18.2%
기타 3
 
9.1%

등급구분명
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
20 
기타
7 
을
5 
자율
 
1

Length

Max length4
Median length4
Mean length3.0606061
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row을
2nd row기타
3rd row기타
4th row을
5th row을

Common Values

ValueCountFrequency (%)
<NA> 20
60.6%
기타 7
 
21.2%
을 5
 
15.2%
자율 1
 
3.0%

Length

2024-04-06T21:50:21.912765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:22.157357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
60.6%
기타 7
 
21.2%
을 5
 
15.2%
자율 1
 
3.0%

급수시설구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
상수도전용
17 
<NA>
16 

Length

Max length5
Median length5
Mean length4.5151515
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 17
51.5%
<NA> 16
48.5%

Length

2024-04-06T21:50:22.503367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:50:22.725724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 17
51.5%
na 16
48.5%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

본사종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공장사무직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공장판매직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공장생산직종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

보증액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

월세액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)7.7%
Missing7
Missing (%)21.2%
Memory size198.0 B
False
24 
True
 
2
(Missing)
7 
ValueCountFrequency (%)
False 24
72.7%
True 2
 
6.1%
(Missing) 7
 
21.2%
2024-04-06T21:50:22.893461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing7
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean145.21654
Minimum52.47
Maximum542.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-06T21:50:23.140381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.47
5-th percentile59.1575
Q187.3225
median128.31
Q3175.88
95-th percentile246.5175
Maximum542.99
Range490.52
Interquartile range (IQR)88.5575

Descriptive statistics

Standard deviation96.709933
Coefficient of variation (CV)0.66597052
Kurtosis11.440755
Mean145.21654
Median Absolute Deviation (MAD)45.32
Skewness2.9429459
Sum3775.63
Variance9352.8112
MonotonicityNot monotonic
2024-04-06T21:50:23.451544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
150.43 1
 
3.0%
57.81 1
 
3.0%
75.14 1
 
3.0%
52.47 1
 
3.0%
259.27 1
 
3.0%
80.2 1
 
3.0%
75.21 1
 
3.0%
129.0 1
 
3.0%
145.27 1
 
3.0%
208.26 1
 
3.0%
Other values (16) 16
48.5%
(Missing) 7
21.2%
ValueCountFrequency (%)
52.47 1
3.0%
57.81 1
3.0%
63.2 1
3.0%
75.14 1
3.0%
75.21 1
3.0%
80.2 1
3.0%
85.78 1
3.0%
91.95 1
3.0%
97.34 1
3.0%
100.54 1
3.0%
ValueCountFrequency (%)
542.99 1
3.0%
259.27 1
3.0%
208.26 1
3.0%
202.83 1
3.0%
190.74 1
3.0%
181.08 1
3.0%
179.6 1
3.0%
164.72 1
3.0%
150.43 1
3.0%
146.22 1
3.0%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-102-1977-0109719770504<NA>1영업/정상1영업<NA><NA><NA><NA>0222928051100.54133867서울특별시 성동구 행당동 267-17번지서울특별시 성동구 왕십리로 291-2 (행당동)4744가요무대2017-06-23 15:08:25I2018-08-31 23:59:59.0비어(바)살롱203104.707004450878.006169비어(바)살롱12주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N100.54<NA><NA><NA>
130300003030000-102-1978-0112619780313<NA>3폐업2폐업20060529<NA><NA><NA>0222930114542.99133882서울특별시 성동구 도선동 58번지<NA><NA>나이트크럽캔버라2002-05-11 00:00:00I2018-08-31 23:59:59.0관광호텔나이트(디스코)<NA><NA>관광호텔나이트(디스코)00유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N542.99<NA><NA><NA>
230300003030000-102-1978-0112719780726<NA>3폐업2폐업20160315<NA><NA><NA>02 4645031164.72133832서울특별시 성동구 성수동2가 281-30번지서울특별시 성동구 광나루로 334 (성수동2가)4799유성스텐드바2001-12-26 00:00:00I2018-08-31 23:59:59.0스텐드바205834.097988449525.919848스텐드바00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N164.72<NA><NA><NA>
330300003030000-102-1979-0112519790703<NA>1영업/정상1영업<NA><NA><NA><NA>0222997597127.62133812서울특별시 성동구 마장동 474-1번지서울특별시 성동구 고산자로 349 (마장동)4704맨하탄2015-03-20 14:16:35I2018-08-31 23:59:59.0룸살롱203247.41204452076.361807룸살롱13주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N127.62<NA><NA><NA>
430300003030000-102-1979-0112819790726<NA>3폐업2폐업20040421<NA><NA><NA>02 4631389105.9133825서울특별시 성동구 성수동1가 671-71번지<NA><NA>경마2001-12-26 00:00:00I2018-08-31 23:59:59.0스텐드바203810.721684449747.552427스텐드바25주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N105.9<NA><NA><NA>
530300003030000-102-1980-0109819800927<NA>1영업/정상1영업<NA><NA><NA><NA>000204974428122.12133836서울특별시 성동구 송정동 66-259번지서울특별시 성동구 광나루로 315 (송정동)4801쎄븐2019-10-29 10:46:31U2019-10-31 02:40:00.0비어(바)살롱205659.048354449568.452389비어(바)살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N122.12<NA><NA><NA>
630300003030000-102-1980-0110019800411<NA>1영업/정상1영업<NA><NA><NA><NA>02 4614090156.85133836서울특별시 성동구 송정동 66-196서울특별시 성동구 광나루로 323 (송정동)4801빵빵2022-05-18 12:41:57U2021-12-04 22:00:00.0룸살롱205733.953454449576.204385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
730300003030000-102-1981-0109619811020<NA>1영업/정상1영업<NA><NA><NA><NA>0222990936146.22133880서울특별시 성동구 홍익동 125번지서울특별시 성동구 고산자로 293 (홍익동)4708월드컵노래주점2014-12-24 13:43:09I2018-08-31 23:59:59.0스텐드바203114.758597451504.766996스텐드바<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N146.22<NA><NA><NA>
830300003030000-102-1982-0109919770518<NA>1영업/정상1영업<NA><NA><NA><NA>022292972963.2133867서울특별시 성동구 행당동 227-1번지서울특별시 성동구 왕십리로 284 (행당동)47512070술마시는노래주점2016-09-20 17:00:47I2018-08-31 23:59:59.0비어(바)살롱203194.269628450837.622653비어(바)살롱13주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N63.2<NA><NA><NA>
930300003030000-102-1985-0113019850507<NA>1영업/정상1영업<NA><NA><NA><NA>0222947318179.6133882서울특별시 성동구 도선동 289번지서울특별시 성동구 왕십리로 348 (도선동)47077080노래주점2013-12-03 17:31:35I2018-08-31 23:59:59.0룸살롱202727.017019451267.516899룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N179.6<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
2330300003030000-102-2005-0000120050826<NA>1영업/정상1영업<NA><NA><NA><NA>2295144072.04133882서울특별시 성동구 도선동 64 (지하1층)서울특별시 성동구 무학로2길 44 (도선동,(지하1층))4709산타룸노래클럽2023-01-30 10:26:39U2022-12-02 00:01:00.0룸살롱202961.064684451156.937353<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2430300003030000-102-2008-0000120080108<NA>3폐업2폐업20120831<NA><NA><NA>000222960990208.26133882서울특별시 성동구 도선동 86번지 (지하1층)서울특별시 성동구 무학로2길 47 (도선동,(지하1층))4709오렌지2010-04-26 18:11:20I2018-08-31 23:59:59.0룸살롱203006.379794451150.696474룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N208.26<NA><NA><NA>
2530300003030000-102-2009-0000120090903<NA>3폐업2폐업20160526<NA><NA><NA><NA>145.27133882서울특별시 성동구 도선동 46번지 (지하1층)서울특별시 성동구 왕십리로 320 (도선동,(지하1층))<NA>헤라주점2011-01-05 17:19:59I2018-08-31 23:59:59.0룸살롱202967.042457451118.8096룸살롱<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N145.27<NA><NA><NA>
2630300003030000-102-2009-0000220091105<NA>1영업/정상1영업<NA><NA><NA><NA>02 22958259129.0133882서울특별시 성동구 도선동 50 지하1층서울특별시 성동구 왕십리로22길 3 (도선동, 50 지하1층)4709땡벌2021-09-09 14:43:51U2021-09-11 02:40:00.0룸살롱202958.161636451149.336299룸살롱<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N129.0<NA><NA><NA>
2730300003030000-102-2010-0000120100817<NA>1영업/정상1영업<NA><NA><NA><NA>02 2281059875.21133882서울특별시 성동구 도선동 87번지 지상2층서울특별시 성동구 무학로2길 45 (도선동,지상2층)4709브이아이피(vip)노래뱅크2017-11-08 14:35:55I2018-08-31 23:59:59.0룸살롱202990.555866451158.588973룸살롱00유흥업소밀집지역자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N75.21<NA><NA><NA>
2830300003030000-102-2011-0000120110211<NA>1영업/정상1영업<NA><NA><NA><NA><NA>80.2133882서울특별시 성동구 도선동 89번지 지하1층서울특별시 성동구 왕십리로22길 10 (도선동,지하1층)4709동경2018-02-02 14:18:20I2018-08-31 23:59:59.0룸살롱203005.456845451173.727413룸살롱11기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N80.2<NA><NA><NA>
2930300003030000-102-2012-0000120121224<NA>3폐업2폐업20200214<NA><NA><NA>02 22821717259.27133882서울특별시 성동구 도선동 2번지 비젼호텔 지하1층서울특별시 성동구 고산자로 277, 지하1층 (도선동, 2 비젼호텔)4709비젼7080라이브(LIVE)2020-02-14 10:27:14U2020-02-16 02:40:00.0기타203103.639156451353.145289기타<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y259.27<NA><NA><NA>
3030300003030000-102-2013-0000120131223<NA>1영업/정상1영업<NA><NA><NA><NA>022297607752.47133882서울특별시 성동구 도선동 43 (지하1층)서울특별시 성동구 무학로2길 48 (도선동)4709W 더블유2020-11-30 15:54:27U2020-12-02 02:40:00.0룸살롱202994.992836451122.413593룸살롱<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N52.47<NA><NA><NA>
3130300003030000-102-2014-0000120140402<NA>1영업/정상1영업<NA><NA><NA><NA>02 2281270775.14133882서울특별시 성동구 도선동 68번지서울특별시 성동구 무학로2길 46, 3층 (도선동)4709엠비씨(MBC)노래주점2016-06-20 13:49:01I2018-08-31 23:59:59.0룸살롱202985.066832451131.062598룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N75.14<NA><NA><NA>
3230300003030000-102-2016-0000120161212<NA>1영업/정상1영업<NA><NA><NA><NA><NA>57.81133882서울특별시 성동구 도선동 29번지서울특별시 성동구 왕십리로20길 8, 3층 (도선동)4709슈엔씨2018-10-05 15:49:44U2018-10-07 02:36:58.0노래클럽203032.062295451134.858623노래클럽<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y57.81<NA><NA><NA>