Overview

Dataset statistics

Number of variables44
Number of observations102
Missing cells1046
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.7 KiB
Average record size in memory378.3 B

Variable types

Categorical22
Text5
DateTime3
Unsupported8
Numeric5
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-18569/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (53.6%)Imbalance
총인원 is highly imbalanced (86.1%)Imbalance
본사종업원수 is highly imbalanced (86.1%)Imbalance
공장사무직종업원수 is highly imbalanced (86.1%)Imbalance
공장판매직종업원수 is highly imbalanced (86.1%)Imbalance
공장생산직종업원수 is highly imbalanced (86.1%)Imbalance
보증액 is highly imbalanced (86.1%)Imbalance
월세액 is highly imbalanced (86.1%)Imbalance
다중이용업소여부 is highly imbalanced (52.6%)Imbalance
인허가취소일자 has 102 (100.0%) missing valuesMissing
폐업일자 has 44 (43.1%) missing valuesMissing
휴업시작일자 has 102 (100.0%) missing valuesMissing
휴업종료일자 has 102 (100.0%) missing valuesMissing
재개업일자 has 102 (100.0%) missing valuesMissing
전화번호 has 15 (14.7%) missing valuesMissing
도로명주소 has 36 (35.3%) missing valuesMissing
도로명우편번호 has 39 (38.2%) missing valuesMissing
좌표정보(X) has 5 (4.9%) missing valuesMissing
좌표정보(Y) has 5 (4.9%) missing valuesMissing
건물소유구분명 has 102 (100.0%) missing valuesMissing
다중이용업소여부 has 43 (42.2%) missing valuesMissing
시설총규모 has 43 (42.2%) missing valuesMissing
전통업소지정번호 has 102 (100.0%) missing valuesMissing
전통업소주된음식 has 102 (100.0%) missing valuesMissing
홈페이지 has 102 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
소재지면적 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
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 started2024-05-11 08:45:10.884298
Analysis finished2024-05-11 08:45:12.535495
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
3170000
102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 102
100.0%

Length

2024-05-11T08:45:12.824235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:13.239341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 102
100.0%

관리번호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-05-11T08:45:13.955321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2244
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

Unique102 ?
Unique (%)100.0%

Sample

1st row3170000-102-1973-00873
2nd row3170000-102-1978-00868
3rd row3170000-102-1978-00869
4th row3170000-102-1978-00877
5th row3170000-102-1978-00886
ValueCountFrequency (%)
3170000-102-1973-00873 1
 
1.0%
3170000-102-2000-06544 1
 
1.0%
3170000-102-2002-00002 1
 
1.0%
3170000-102-2002-00001 1
 
1.0%
3170000-102-2001-06877 1
 
1.0%
3170000-102-2001-06871 1
 
1.0%
3170000-102-2001-06828 1
 
1.0%
3170000-102-2001-06742 1
 
1.0%
3170000-102-2001-06643 1
 
1.0%
3170000-102-2000-06611 1
 
1.0%
Other values (92) 92
90.2%
2024-05-11T08:45:15.177054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 884
39.4%
- 306
 
13.6%
1 298
 
13.3%
2 184
 
8.2%
7 138
 
6.1%
3 131
 
5.8%
9 106
 
4.7%
8 86
 
3.8%
6 54
 
2.4%
5 31
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1938
86.4%
Dash Punctuation 306
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 884
45.6%
1 298
 
15.4%
2 184
 
9.5%
7 138
 
7.1%
3 131
 
6.8%
9 106
 
5.5%
8 86
 
4.4%
6 54
 
2.8%
5 31
 
1.6%
4 26
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 884
39.4%
- 306
 
13.6%
1 298
 
13.3%
2 184
 
8.2%
7 138
 
6.1%
3 131
 
5.8%
9 106
 
4.7%
8 86
 
3.8%
6 54
 
2.4%
5 31
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 884
39.4%
- 306
 
13.6%
1 298
 
13.3%
2 184
 
8.2%
7 138
 
6.1%
3 131
 
5.8%
9 106
 
4.7%
8 86
 
3.8%
6 54
 
2.4%
5 31
 
1.4%

인허가일자
Date

Distinct93
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum1973-11-08 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T08:45:15.696596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:45:16.119737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
3
58 
1
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 58
56.9%
1 44
43.1%

Length

2024-05-11T08:45:16.524477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:16.812943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 58
56.9%
1 44
43.1%

영업상태명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
폐업
58 
영업/정상
44 

Length

Max length5
Median length2
Mean length3.2941176
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 58
56.9%
영업/정상 44
43.1%

Length

2024-05-11T08:45:17.157412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:17.395609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 58
56.9%
영업/정상 44
43.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2
58 
1
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 58
56.9%
1 44
43.1%

Length

2024-05-11T08:45:17.582103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:17.779599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 58
56.9%
1 44
43.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
폐업
58 
영업
44 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 58
56.9%
영업 44
43.1%

Length

2024-05-11T08:45:18.087559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:18.291007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 58
56.9%
영업 44
43.1%

폐업일자
Date

MISSING 

Distinct54
Distinct (%)93.1%
Missing44
Missing (%)43.1%
Memory size948.0 B
Minimum1998-03-16 00:00:00
Maximum2023-08-07 00:00:00
2024-05-11T08:45:18.643261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:45:19.169576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct81
Distinct (%)93.1%
Missing15
Missing (%)14.7%
Memory size948.0 B
2024-05-11T08:45:19.738180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8850575
Min length2

Characters and Unicode

Total characters860
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

Unique77 ?
Unique (%)88.5%

Sample

1st row02 8593051
2nd row02 8081118
3rd row02 8591221
4th row02 8620421
5th row02 861 0031
ValueCountFrequency (%)
02 86
47.8%
865 2
 
1.1%
6366 2
 
1.1%
8549373 2
 
1.1%
8052326 2
 
1.1%
857 2
 
1.1%
808 1
 
0.6%
8539810 1
 
0.6%
8516337 1
 
0.6%
8638744 1
 
0.6%
Other values (80) 80
44.4%
2024-05-11T08:45:20.672395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
20.0%
2 127
14.8%
8 124
14.4%
105
12.2%
5 59
 
6.9%
1 59
 
6.9%
3 58
 
6.7%
6 56
 
6.5%
4 35
 
4.1%
7 33
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 755
87.8%
Space Separator 105
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
22.8%
2 127
16.8%
8 124
16.4%
5 59
 
7.8%
1 59
 
7.8%
3 58
 
7.7%
6 56
 
7.4%
4 35
 
4.6%
7 33
 
4.4%
9 32
 
4.2%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 172
20.0%
2 127
14.8%
8 124
14.4%
105
12.2%
5 59
 
6.9%
1 59
 
6.9%
3 58
 
6.7%
6 56
 
6.5%
4 35
 
4.1%
7 33
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
20.0%
2 127
14.8%
8 124
14.4%
105
12.2%
5 59
 
6.9%
1 59
 
6.9%
3 58
 
6.7%
6 56
 
6.5%
4 35
 
4.1%
7 33
 
3.8%

소재지면적
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.25578
Minimum22.51
Maximum980.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:45:21.197886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.51
5-th percentile38.5185
Q169.6575
median92.4
Q3128.87
95-th percentile370.314
Maximum980.95
Range958.44
Interquartile range (IQR)59.2125

Descriptive statistics

Standard deviation153.7458
Coefficient of variation (CV)1.1120388
Kurtosis13.291912
Mean138.25578
Median Absolute Deviation (MAD)27.925
Skewness3.4597723
Sum14102.09
Variance23637.771
MonotonicityNot monotonic
2024-05-11T08:45:21.639169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.88 1
 
1.0%
62.29 1
 
1.0%
69.02 1
 
1.0%
66.29 1
 
1.0%
57.53 1
 
1.0%
47.87 1
 
1.0%
47.48 1
 
1.0%
76.18 1
 
1.0%
130.0 1
 
1.0%
371.51 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
22.51 1
1.0%
27.73 1
1.0%
29.16 1
1.0%
34.29 1
1.0%
35.17 1
1.0%
38.31 1
1.0%
42.48 1
1.0%
46.92 1
1.0%
47.48 1
1.0%
47.87 1
1.0%
ValueCountFrequency (%)
980.95 1
1.0%
781.62 1
1.0%
695.97 1
1.0%
630.93 1
1.0%
557.34 1
1.0%
371.51 1
1.0%
347.59 1
1.0%
315.8 1
1.0%
299.38 1
1.0%
248.21 1
1.0%

소재지우편번호
Categorical

Distinct23
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size948.0 B
153801
28 
153858
24 
153864
14 
153857
6 
153821
3 
Other values (18)
27 

Length

Max length7
Median length6
Mean length6.1470588
Min length6

Unique

Unique10 ?
Unique (%)9.8%

Sample

1st row153864
2nd row153-822
3rd row153-830
4th row153821
5th row153-823

Common Values

ValueCountFrequency (%)
153801 28
27.5%
153858 24
23.5%
153864 14
13.7%
153857 6
 
5.9%
153821 3
 
2.9%
153-801 3
 
2.9%
153-858 2
 
2.0%
153-830 2
 
2.0%
153863 2
 
2.0%
153-823 2
 
2.0%
Other values (13) 16
15.7%

Length

2024-05-11T08:45:22.049441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
153801 28
27.5%
153858 24
23.5%
153864 14
13.7%
153857 6
 
5.9%
153821 3
 
2.9%
153-801 3
 
2.9%
153-823 2
 
2.0%
153839 2
 
2.0%
153023 2
 
2.0%
153-864 2
 
2.0%
Other values (13) 16
15.7%

지번주소
Text

Distinct98
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-05-11T08:45:22.604986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length27.794118
Min length18

Characters and Unicode

Total characters2835
Distinct characters54
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

Unique94 ?
Unique (%)92.2%

Sample

1st row서울특별시 금천구 시흥동 995-13 지하1층 (건영길 6)
2nd row서울특별시 금천구 독산동 950-7 지하1층 (독산동길 3)
3rd row서울특별시 금천구 독산동 1035-5 지하1층 (독산역길 5)
4th row서울특별시 금천구 독산동 1022-124번지 지하1층 (독산동길 149)
5th row서울특별시 금천구 독산동 959-12 지하1층
ValueCountFrequency (%)
서울특별시 102
19.0%
금천구 102
19.0%
시흥동 55
 
10.3%
지하1층 46
 
8.6%
가산동 33
 
6.2%
독산동 14
 
2.6%
지상2층 10
 
1.9%
시흥대로 9
 
1.7%
883-11번지 5
 
0.9%
구로동길 4
 
0.7%
Other values (115) 156
29.1%
2024-05-11T08:45:23.842615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
501
17.7%
시 168
 
5.9%
1 166
 
5.9%
지 128
 
4.5%
동 108
 
3.8%
구 106
 
3.7%
금 105
 
3.7%
천 105
 
3.7%
서 102
 
3.6%
- 102
 
3.6%
Other values (44) 1244
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1553
54.8%
Decimal Number 611
 
21.6%
Space Separator 501
 
17.7%
Dash Punctuation 102
 
3.6%
Close Punctuation 30
 
1.1%
Open Punctuation 30
 
1.1%
Other Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 168
 
10.8%
지 128
 
8.2%
동 108
 
7.0%
구 106
 
6.8%
금 105
 
6.8%
천 105
 
6.8%
서 102
 
6.6%
별 102
 
6.6%
특 102
 
6.6%
울 102
 
6.6%
Other values (25) 425
27.4%
Decimal Number
ValueCountFrequency (%)
1 166
27.2%
4 79
12.9%
8 79
12.9%
9 77
12.6%
2 56
 
9.2%
3 45
 
7.4%
0 38
 
6.2%
5 33
 
5.4%
6 25
 
4.1%
7 13
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
I 1
25.0%
N 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1553
54.8%
Common 1278
45.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 168
 
10.8%
지 128
 
8.2%
동 108
 
7.0%
구 106
 
6.8%
금 105
 
6.8%
천 105
 
6.8%
서 102
 
6.6%
별 102
 
6.6%
특 102
 
6.6%
울 102
 
6.6%
Other values (25) 425
27.4%
Common
ValueCountFrequency (%)
501
39.2%
1 166
 
13.0%
- 102
 
8.0%
4 79
 
6.2%
8 79
 
6.2%
9 77
 
6.0%
2 56
 
4.4%
3 45
 
3.5%
0 38
 
3.0%
5 33
 
2.6%
Other values (5) 102
 
8.0%
Latin
ValueCountFrequency (%)
M 1
25.0%
I 1
25.0%
N 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1553
54.8%
ASCII 1282
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
501
39.1%
1 166
 
12.9%
- 102
 
8.0%
4 79
 
6.2%
8 79
 
6.2%
9 77
 
6.0%
2 56
 
4.4%
3 45
 
3.5%
0 38
 
3.0%
5 33
 
2.6%
Other values (9) 106
 
8.3%
Hangul
ValueCountFrequency (%)
시 168
 
10.8%
지 128
 
8.2%
동 108
 
7.0%
구 106
 
6.8%
금 105
 
6.8%
천 105
 
6.8%
서 102
 
6.6%
별 102
 
6.6%
특 102
 
6.6%
울 102
 
6.6%
Other values (25) 425
27.4%

도로명주소
Text

MISSING 

Distinct65
Distinct (%)98.5%
Missing36
Missing (%)35.3%
Memory size948.0 B
2024-05-11T08:45:24.758023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length32.318182
Min length28

Characters and Unicode

Total characters2133
Distinct characters56
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

Unique64 ?
Unique (%)97.0%

Sample

1st row서울특별시 금천구 시흥대로59길 10 (시흥동,지하1층 (건영길 6))
2nd row서울특별시 금천구 독산로 364 (독산동,지하1층 (독산동길 3))
3rd row서울특별시 금천구 범안로 1252 (독산동,지하1층 (독산역길 5))
4th row서울특별시 금천구 독산로70길 3 (독산동,지하1층 (독산동길 149))
5th row서울특별시 금천구 독산로 353, 지하1층 (독산동)
ValueCountFrequency (%)
서울특별시 66
16.2%
금천구 66
16.2%
지하1층 30
 
7.4%
시흥동 25
 
6.1%
시흥대로 23
 
5.6%
가산동 19
 
4.7%
가산로 19
 
4.7%
지상2층 9
 
2.2%
시흥대로52길 8
 
2.0%
독산동,지하1층 7
 
1.7%
Other values (87) 136
33.3%
2024-05-11T08:45:26.443263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
16.1%
시 132
 
6.2%
1 88
 
4.1%
) 79
 
3.7%
( 79
 
3.7%
로 74
 
3.5%
금 71
 
3.3%
동 70
 
3.3%
구 68
 
3.2%
지 67
 
3.1%
Other values (46) 1061
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1232
57.8%
Space Separator 344
 
16.1%
Decimal Number 320
 
15.0%
Close Punctuation 79
 
3.7%
Open Punctuation 79
 
3.7%
Other Punctuation 67
 
3.1%
Dash Punctuation 8
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 132
 
10.7%
로 74
 
6.0%
금 71
 
5.8%
동 70
 
5.7%
구 68
 
5.5%
지 67
 
5.4%
천 66
 
5.4%
울 66
 
5.4%
별 66
 
5.4%
흥 66
 
5.4%
Other values (27) 486
39.4%
Decimal Number
ValueCountFrequency (%)
1 88
27.5%
2 62
19.4%
5 42
13.1%
3 37
11.6%
4 25
 
7.8%
6 18
 
5.6%
7 14
 
4.4%
0 13
 
4.1%
9 13
 
4.1%
8 8
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
I 1
25.0%
N 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1232
57.8%
Common 897
42.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 132
 
10.7%
로 74
 
6.0%
금 71
 
5.8%
동 70
 
5.7%
구 68
 
5.5%
지 67
 
5.4%
천 66
 
5.4%
울 66
 
5.4%
별 66
 
5.4%
흥 66
 
5.4%
Other values (27) 486
39.4%
Common
ValueCountFrequency (%)
344
38.4%
1 88
 
9.8%
) 79
 
8.8%
( 79
 
8.8%
, 67
 
7.5%
2 62
 
6.9%
5 42
 
4.7%
3 37
 
4.1%
4 25
 
2.8%
6 18
 
2.0%
Other values (5) 56
 
6.2%
Latin
ValueCountFrequency (%)
M 1
25.0%
I 1
25.0%
N 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1232
57.8%
ASCII 901
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
38.2%
1 88
 
9.8%
) 79
 
8.8%
( 79
 
8.8%
, 67
 
7.4%
2 62
 
6.9%
5 42
 
4.7%
3 37
 
4.1%
4 25
 
2.8%
6 18
 
2.0%
Other values (9) 60
 
6.7%
Hangul
ValueCountFrequency (%)
시 132
 
10.7%
로 74
 
6.0%
금 71
 
5.8%
동 70
 
5.7%
구 68
 
5.5%
지 67
 
5.4%
천 66
 
5.4%
울 66
 
5.4%
별 66
 
5.4%
흥 66
 
5.4%
Other values (27) 486
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)33.3%
Missing39
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean8577.0317
Minimum8512
Maximum8652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:45:26.871465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8512
5-th percentile8515
Q18527
median8585
Q38628
95-th percentile8632
Maximum8652
Range140
Interquartile range (IQR)101

Descriptive statistics

Standard deviation50.929099
Coefficient of variation (CV)0.0059378467
Kurtosis-1.8399265
Mean8577.0317
Median Absolute Deviation (MAD)47
Skewness-0.10902624
Sum540353
Variance2593.7732
MonotonicityNot monotonic
2024-05-11T08:45:27.547936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8515 14
 
13.7%
8628 12
 
11.8%
8527 8
 
7.8%
8632 7
 
6.9%
8615 3
 
2.9%
8614 3
 
2.9%
8537 2
 
2.0%
8585 1
 
1.0%
8558 1
 
1.0%
8512 1
 
1.0%
Other values (11) 11
 
10.8%
(Missing) 39
38.2%
ValueCountFrequency (%)
8512 1
 
1.0%
8515 14
13.7%
8527 8
7.8%
8537 2
 
2.0%
8545 1
 
1.0%
8547 1
 
1.0%
8548 1
 
1.0%
8558 1
 
1.0%
8579 1
 
1.0%
8580 1
 
1.0%
ValueCountFrequency (%)
8652 1
 
1.0%
8638 1
 
1.0%
8632 7
6.9%
8628 12
11.8%
8626 1
 
1.0%
8617 1
 
1.0%
8616 1
 
1.0%
8615 3
 
2.9%
8614 3
 
2.9%
8603 1
 
1.0%

사업장명
Text

Distinct97
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-05-11T08:45:28.270448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length4.2843137
Min length1

Characters and Unicode

Total characters437
Distinct characters167
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)91.2%

Sample

1st row나이스바
2nd row여우노래바
3rd row보물섬
4th row비선노래바
5th row국일관 스텐드빠
ValueCountFrequency (%)
돈텔마마 3
 
2.8%
홀리데이 2
 
1.9%
비서실 2
 
1.9%
부킹 2
 
1.9%
궁전 2
 
1.9%
노래빠 2
 
1.9%
킹 2
 
1.9%
골든 1
 
0.9%
킹덤 1
 
0.9%
조이노래주점 1
 
0.9%
Other values (90) 90
83.3%
2024-05-11T08:45:29.546364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 27
 
6.2%
래 26
 
5.9%
바 20
 
4.6%
스 17
 
3.9%
이 12
 
2.7%
빠 10
 
2.3%
리 9
 
2.1%
관 8
 
1.8%
마 7
 
1.6%
킹 7
 
1.6%
Other values (157) 294
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
94.5%
Decimal Number 12
 
2.7%
Space Separator 6
 
1.4%
Uppercase Letter 4
 
0.9%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 27
 
6.5%
래 26
 
6.3%
바 20
 
4.8%
스 17
 
4.1%
이 12
 
2.9%
빠 10
 
2.4%
리 9
 
2.2%
관 8
 
1.9%
마 7
 
1.7%
킹 7
 
1.7%
Other values (146) 270
65.4%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
8 3
25.0%
7 3
25.0%
4 1
 
8.3%
2 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
B 1
25.0%
W 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
94.5%
Common 20
 
4.6%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 27
 
6.5%
래 26
 
6.3%
바 20
 
4.8%
스 17
 
4.1%
이 12
 
2.9%
빠 10
 
2.4%
리 9
 
2.2%
관 8
 
1.9%
마 7
 
1.7%
킹 7
 
1.7%
Other values (146) 270
65.4%
Common
ValueCountFrequency (%)
6
30.0%
0 4
20.0%
8 3
15.0%
7 3
15.0%
. 2
 
10.0%
4 1
 
5.0%
2 1
 
5.0%
Latin
ValueCountFrequency (%)
M 1
25.0%
B 1
25.0%
W 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
94.5%
ASCII 24
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 27
 
6.5%
래 26
 
6.3%
바 20
 
4.8%
스 17
 
4.1%
이 12
 
2.9%
빠 10
 
2.4%
리 9
 
2.2%
관 8
 
1.9%
마 7
 
1.7%
킹 7
 
1.7%
Other values (146) 270
65.4%
ASCII
ValueCountFrequency (%)
6
25.0%
0 4
16.7%
8 3
12.5%
7 3
12.5%
. 2
 
8.3%
M 1
 
4.2%
B 1
 
4.2%
W 1
 
4.2%
4 1
 
4.2%
2 1
 
4.2%

최종수정일자
Date

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2000-03-31 00:00:00
Maximum2024-05-09 10:02:09
2024-05-11T08:45:29.981903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:45:30.493361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
I
53 
U
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 53
52.0%
U 49
48.0%

Length

2024-05-11T08:45:31.063038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:31.461598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
52.0%
u 49
48.0%

데이터갱신일자
Categorical

Distinct28
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size948.0 B
2018-08-31 23:59:59.0
52 
2021-12-06 23:07:00.0
10 
2021-12-06 22:00:00.0
6 
2021-12-04 23:04:00.0
 
5
2022-12-05 22:05:00.0
 
4
Other values (23)
25 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique21 ?
Unique (%)20.6%

Sample

1st row2021-11-02 00:08:00.0
2nd row2022-12-05 22:05:00.0
3rd row2022-12-05 23:04:00.0
4th row2018-08-31 23:59:59.0
5th row2022-12-05 22:05:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 52
51.0%
2021-12-06 23:07:00.0 10
 
9.8%
2021-12-06 22:00:00.0 6
 
5.9%
2021-12-04 23:04:00.0 5
 
4.9%
2022-12-05 22:05:00.0 4
 
3.9%
2021-12-07 23:08:00.0 2
 
2.0%
2022-12-07 00:07:00.0 2
 
2.0%
2020-08-05 02:40:00.0 1
 
1.0%
2022-12-06 00:01:00.0 1
 
1.0%
2022-12-01 00:05:00.0 1
 
1.0%
Other values (18) 18
 
17.6%

Length

2024-05-11T08:45:31.793160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 52
25.5%
23:59:59.0 52
25.5%
2021-12-06 16
 
7.8%
23:07:00.0 10
 
4.9%
02:40:00.0 7
 
3.4%
23:04:00.0 7
 
3.4%
22:00:00.0 6
 
2.9%
2021-12-04 5
 
2.5%
2022-12-05 5
 
2.5%
22:05:00.0 4
 
2.0%
Other values (31) 40
19.6%

업태구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
룸살롱
77 
카바레
10 
스텐드바
 
4
기타
 
4
고고(디스코)클럽
 
3
Other values (3)
 
4

Length

Max length9
Median length3
Mean length3.245098
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row룸살롱
2nd row룸살롱
3rd row룸살롱
4th row룸살롱
5th row극장식당

Common Values

ValueCountFrequency (%)
룸살롱 77
75.5%
카바레 10
 
9.8%
스텐드바 4
 
3.9%
기타 4
 
3.9%
고고(디스코)클럽 3
 
2.9%
극장식당 2
 
2.0%
비어(바)살롱 1
 
1.0%
노래클럽 1
 
1.0%

Length

2024-05-11T08:45:32.263427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:32.680475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 77
75.5%
카바레 10
 
9.8%
스텐드바 4
 
3.9%
기타 4
 
3.9%
고고(디스코)클럽 3
 
2.9%
극장식당 2
 
2.0%
비어(바)살롱 1
 
1.0%
노래클럽 1
 
1.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)67.0%
Missing5
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean190877.24
Minimum190108.82
Maximum191941.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:45:33.153873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190108.82
5-th percentile190197.8
Q1190278.77
median191102.44
Q3191203.25
95-th percentile191391.03
Maximum191941.45
Range1832.627
Interquartile range (IQR)924.48051

Descriptive statistics

Standard deviation462.79776
Coefficient of variation (CV)0.0024245833
Kurtosis-1.2241587
Mean190877.24
Median Absolute Deviation (MAD)155.20228
Skewness-0.49756325
Sum18515092
Variance214181.77
MonotonicityNot monotonic
2024-05-11T08:45:33.819468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191203.246076285 5
 
4.9%
190199.469815635 5
 
4.9%
190291.362021742 4
 
3.9%
190213.674354302 4
 
3.9%
190268.386582558 4
 
3.9%
191169.689071033 4
 
3.9%
191124.239883195 3
 
2.9%
191191.868732053 3
 
2.9%
190278.765566019 3
 
2.9%
191102.436335109 2
 
2.0%
Other values (55) 60
58.8%
(Missing) 5
 
4.9%
ValueCountFrequency (%)
190108.822479842 1
 
1.0%
190142.677283449 1
 
1.0%
190176.706071121 1
 
1.0%
190190.337843872 1
 
1.0%
190191.104497812 1
 
1.0%
190199.469815635 5
4.9%
190213.674354302 4
3.9%
190218.498351691 1
 
1.0%
190230.760942582 1
 
1.0%
190244.555277324 2
 
2.0%
ValueCountFrequency (%)
191941.449524903 1
1.0%
191446.987357316 1
1.0%
191422.697774657 1
1.0%
191400.600073436 1
1.0%
191399.035388034 1
1.0%
191389.027715691 1
1.0%
191352.950271359 1
1.0%
191341.238749155 1
1.0%
191305.214540711 1
1.0%
191266.927537373 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)67.0%
Missing5
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean440219.76
Minimum437647.53
Maximum442055.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:45:34.339121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437647.53
5-th percentile438949.04
Q1439087.64
median439209.88
Q3441840.58
95-th percentile441864.52
Maximum442055.18
Range4407.6583
Interquartile range (IQR)2752.9351

Descriptive statistics

Standard deviation1345.8246
Coefficient of variation (CV)0.0030571653
Kurtosis-1.7139832
Mean440219.76
Median Absolute Deviation (MAD)285.74462
Skewness0.24271594
Sum42701316
Variance1811243.8
MonotonicityNot monotonic
2024-05-11T08:45:34.930142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439087.640568427 5
 
4.9%
441864.517272355 5
 
4.9%
441856.76167243 4
 
3.9%
441843.959941487 4
 
3.9%
441840.575654346 4
 
3.9%
439209.878226952 4
 
3.9%
439083.859155229 3
 
2.9%
439144.877856068 3
 
2.9%
441825.884786029 3
 
2.9%
439142.836511657 2
 
2.0%
Other values (55) 60
58.8%
(Missing) 5
 
4.9%
ValueCountFrequency (%)
437647.525127383 1
1.0%
438307.022609784 1
1.0%
438365.613175801 1
1.0%
438924.133608211 1
1.0%
438929.317725804 1
1.0%
438953.968598731 2
2.0%
438962.560605397 2
2.0%
438969.76805337 2
2.0%
438991.498133455 1
1.0%
439007.770863139 1
1.0%
ValueCountFrequency (%)
442055.183452739 1
 
1.0%
441916.081648538 1
 
1.0%
441911.246435646 1
 
1.0%
441876.616243071 1
 
1.0%
441864.517272355 5
4.9%
441861.4629578 1
 
1.0%
441860.748808831 1
 
1.0%
441856.76167243 4
3.9%
441854.167286531 1
 
1.0%
441849.903186001 2
 
2.0%

위생업태명
Categorical

Distinct9
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
43 
룸살롱
38 
카바레
10 
스텐드바
 
4
고고(디스코)클럽
 
2
Other values (4)
5 

Length

Max length9
Median length7
Mean length3.6176471
Min length2

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
42.2%
룸살롱 38
37.3%
카바레 10
 
9.8%
스텐드바 4
 
3.9%
고고(디스코)클럽 2
 
2.0%
기타 2
 
2.0%
극장식당 1
 
1.0%
비어(바)살롱 1
 
1.0%
노래클럽 1
 
1.0%

Length

2024-05-11T08:45:35.464207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:36.279232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
42.2%
룸살롱 38
37.3%
카바레 10
 
9.8%
스텐드바 4
 
3.9%
고고(디스코)클럽 2
 
2.0%
기타 2
 
2.0%
극장식당 1
 
1.0%
비어(바)살롱 1
 
1.0%
노래클럽 1
 
1.0%

남성종사자수
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
62 
0
28 
1
 
6
2
 
4
3
 
2

Length

Max length4
Median length4
Mean length2.8235294
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> 62
60.8%
0 28
27.5%
1 6
 
5.9%
2 4
 
3.9%
3 2
 
2.0%

Length

2024-05-11T08:45:36.744233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:37.069026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
60.8%
0 28
27.5%
1 6
 
5.9%
2 4
 
3.9%
3 2
 
2.0%

여성종사자수
Categorical

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
63 
0
30 
1
 
3
3
 
3
2
 
2

Length

Max length4
Median length4
Mean length2.8529412
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
61.8%
0 30
29.4%
1 3
 
2.9%
3 3
 
2.9%
2 2
 
2.0%
4 1
 
1.0%

Length

2024-05-11T08:45:37.446015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:37.835131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
61.8%
0 30
29.4%
1 3
 
2.9%
3 3
 
2.9%
2 2
 
2.0%
4 1
 
1.0%

영업장주변구분명
Categorical

Distinct7
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
66 
유흥업소밀집지역
23 
기타
8 
주택가주변
 
2
아파트지역
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length4.8529412
Min length2

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
64.7%
유흥업소밀집지역 23
 
22.5%
기타 8
 
7.8%
주택가주변 2
 
2.0%
아파트지역 1
 
1.0%
학교정화(상대) 1
 
1.0%
학교정화(절대) 1
 
1.0%

Length

2024-05-11T08:45:38.202910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:38.543016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
64.7%
유흥업소밀집지역 23
 
22.5%
기타 8
 
7.8%
주택가주변 2
 
2.0%
아파트지역 1
 
1.0%
학교정화(상대 1
 
1.0%
학교정화(절대 1
 
1.0%

등급구분명
Categorical

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
73 
자율
12 
지도
 
6
을
 
5
기타
 
4

Length

Max length4
Median length4
Mean length3.3823529
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> 73
71.6%
자율 12
 
11.8%
지도 6
 
5.9%
을 5
 
4.9%
기타 4
 
3.9%
우수 2
 
2.0%

Length

2024-05-11T08:45:38.975793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:39.442438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
71.6%
자율 12
 
11.8%
지도 6
 
5.9%
을 5
 
4.9%
기타 4
 
3.9%
우수 2
 
2.0%

급수시설구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
68 
상수도전용
34 

Length

Max length5
Median length4
Mean length4.3333333
Min length4

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> 68
66.7%
상수도전용 34
33.3%

Length

2024-05-11T08:45:39.898165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:40.318069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
66.7%
상수도전용 34
33.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:40.693286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:41.100352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:41.652936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:42.137888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:42.693460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:43.023252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:43.380422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:43.893391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:44.205701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:44.508873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:44.870670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:45.236563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
100 
0
 
2

Length

Max length4
Median length4
Mean length3.9411765
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> 100
98.0%
0 2
 
2.0%

Length

2024-05-11T08:45:45.579361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:45:45.927844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
98.0%
0 2
 
2.0%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)3.4%
Missing43
Missing (%)42.2%
Memory size336.0 B
False
53 
True
6 
(Missing)
43 
ValueCountFrequency (%)
False 53
52.0%
True 6
 
5.9%
(Missing) 43
42.2%
2024-05-11T08:45:46.292003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing43
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean160.06271
Minimum22.51
Maximum781.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:45:46.584816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.51
5-th percentile33.777
Q167.655
median94.26
Q3199.5
95-th percentile564.699
Maximum781.62
Range759.11
Interquartile range (IQR)131.845

Descriptive statistics

Standard deviation161.54453
Coefficient of variation (CV)1.0092577
Kurtosis5.6381153
Mean160.06271
Median Absolute Deviation (MAD)38.26
Skewness2.3540624
Sum9443.7
Variance26096.635
MonotonicityNot monotonic
2024-05-11T08:45:46.995512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142.85 1
 
1.0%
238.59 1
 
1.0%
56.0 1
 
1.0%
74.17 1
 
1.0%
46.92 1
 
1.0%
123.04 1
 
1.0%
97.05 1
 
1.0%
61.12 1
 
1.0%
371.51 1
 
1.0%
130.0 1
 
1.0%
Other values (49) 49
48.0%
(Missing) 43
42.2%
ValueCountFrequency (%)
22.51 1
1.0%
27.73 1
1.0%
29.16 1
1.0%
34.29 1
1.0%
38.31 1
1.0%
46.92 1
1.0%
47.48 1
1.0%
52.88 1
1.0%
53.13 1
1.0%
56.0 1
1.0%
ValueCountFrequency (%)
781.62 1
1.0%
695.97 1
1.0%
630.93 1
1.0%
557.34 1
1.0%
371.51 1
1.0%
347.59 1
1.0%
315.8 1
1.0%
299.38 1
1.0%
248.21 1
1.0%
238.92 1
1.0%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031700003170000-102-1973-0087319731108<NA>1영업/정상1영업<NA><NA><NA><NA><NA>96.88153864서울특별시 금천구 시흥동 995-13 지하1층 (건영길 6)서울특별시 금천구 시흥대로59길 10 (시흥동,지하1층 (건영길 6))8632나이스바2022-12-06 09:41:26U2021-11-02 00:08:00.0룸살롱191097.569128439055.82394<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
131700003170000-102-1978-008681978-09-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 859305198.28153-822서울특별시 금천구 독산동 950-7 지하1층 (독산동길 3)서울특별시 금천구 독산로 364 (독산동,지하1층 (독산동길 3))8547여우노래바2023-06-23 13:40:14U2022-12-05 22:05:00.0룸살롱191446.987357441911.246436<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
231700003170000-102-1978-008691978-10-21<NA>1영업/정상1영업<NA><NA><NA><NA>02 8081118138.75153-830서울특별시 금천구 독산동 1035-5 지하1층 (독산역길 5)서울특별시 금천구 범안로 1252 (독산동,지하1층 (독산역길 5))8617보물섬2023-06-12 14:16:42U2022-12-05 23:04:00.0룸살롱191162.794683440461.444699<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331700003170000-102-1978-0087719781124<NA>3폐업2폐업20170102<NA><NA><NA>02 8591221117.27153821서울특별시 금천구 독산동 1022-124번지 지하1층 (독산동길 149)서울특별시 금천구 독산로70길 3 (독산동,지하1층 (독산동길 149))8558비선노래바2008-01-11 10:17:52I2018-08-31 23:59:59.0룸살롱191258.023947440496.257052룸살롱<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N117.27<NA><NA><NA>
431700003170000-102-1978-008861978-11-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 8620421165.9153-823서울특별시 금천구 독산동 959-12 지하1층서울특별시 금천구 독산로 353, 지하1층 (독산동)8537국일관 스텐드빠2023-06-23 13:40:38U2022-12-05 22:05:00.0극장식당191400.600073441801.751902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
531700003170000-102-1978-008911978-02-03<NA>1영업/정상1영업<NA><NA><NA><NA>02 861 003185.56153-823서울특별시 금천구 독산동 951-4서울특별시 금천구 남부순환로 1372, 지하1층 (독산동)8537G7 노래빠2024-05-08 13:56:14U2023-12-04 23:00:00.0룸살롱191389.027716441916.081649<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
631700003170000-102-1978-0091719780922<NA>3폐업2폐업20131101<NA><NA><NA>02 8548006142.85153823서울특별시 금천구 독산동 959-23번지 지하1층<NA><NA>백호스탠드빠2010-05-26 14:43:40I2018-08-31 23:59:59.0극장식당191399.035388441861.462958극장식당<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N142.85<NA><NA><NA>
731700003170000-102-1978-0091819781028<NA>1영업/정상1영업<NA><NA><NA><NA><NA>980.95153813서울특별시 금천구 독산동 293-5서울특별시 금천구 범안로 1209, 지상3층 (독산동)8585국빈관관광나이트크럽2022-05-12 10:45:32U2021-12-04 23:04:00.0고고(디스코)클럽190771.59559440515.669035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
831700003170000-102-1979-0088919790510<NA>1영업/정상1영업<NA><NA><NA><NA>02 893482766.64153858서울특별시 금천구 시흥동 885-0 지하1층서울특별시 금천구 시흥대로52길 62 (시흥동, 지하1층)8628꼬미꼬노래바2022-05-04 16:56:25U2021-12-05 00:07:00.0룸살롱191257.638613439105.173693<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931700003170000-102-1980-0086719800524<NA>3폐업2폐업20040216<NA><NA><NA>02 804310094.26153858서울특별시 금천구 시흥동 883-11번지<NA><NA>어우동비지니스2004-02-16 00:00:00I2018-08-31 23:59:59.0카바레191203.246076439087.640568카바레11유흥업소밀집지역지도상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N94.26<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
9231700003170000-102-2010-000032010-04-27<NA>3폐업2폐업2023-08-07<NA><NA><NA>02 857 636678.01153-801서울특별시 금천구 가산동 140-6 지하2층서울특별시 금천구 가산로 153 (가산동,지하2층)8515뉴현대2023-08-07 17:20:40U2022-12-08 00:09:00.0룸살롱190213.674354441843.959941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9331700003170000-102-2010-0000420100427<NA>1영업/정상1영업<NA><NA><NA><NA><NA>85.15153801서울특별시 금천구 가산동 140-6 지하1층서울특별시 금천구 가산로 153 (가산동, 지하1층)8515바쿠스2022-07-18 16:38:45U2021-12-06 22:00:00.0룸살롱190213.674354441843.959941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9431700003170000-102-2012-0000120120406<NA>1영업/정상1영업<NA><NA><NA><NA>02 865 319988.98153801서울특별시 금천구 가산동 141-1 지하1층서울특별시 금천구 남부순환로 1262 (가산동, 지하1층)8527룰루랄라2022-07-18 16:38:53U2021-12-06 22:00:00.0룸살롱190291.362022441856.761672<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9531700003170000-102-2013-0000120131126<NA>3폐업2폐업20150303<NA><NA><NA><NA>34.29153864서울특별시 금천구 시흥동 994-11번지 지상2층서울특별시 금천구 시흥대로 225, 지상2층 (시흥동)8632한국관 메들리2014-08-13 14:33:11I2018-08-31 23:59:59.0룸살롱191124.239883439083.859155룸살롱<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N34.29<NA><NA><NA>
9631700003170000-102-2015-0000120150409<NA>3폐업2폐업20161111<NA><NA><NA><NA>38.31153864서울특별시 금천구 시흥동 994-11번지 지상2층서울특별시 금천구 시흥대로 225, 지상2층 (시흥동)8632한국관7080라이브2015-04-09 09:10:55I2018-08-31 23:59:59.0룸살롱191124.239883439083.859155룸살롱<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N38.31<NA><NA><NA>
9731700003170000-102-2015-0000220150721<NA>3폐업2폐업20220816<NA><NA><NA>02 8022015140.22153801서울특별시 금천구 가산동 140-4서울특별시 금천구 가산로 155-1, 지상2층 (가산동)8515홀리데이2022-08-16 09:13:00U2021-12-07 23:08:00.0룸살롱190199.469816441864.517272<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9831700003170000-102-2015-0000320151007<NA>3폐업2폐업20211101<NA><NA><NA><NA>85.78153801서울특별시 금천구 가산동 141-9 지상2층서울특별시 금천구 가산로 150, 자상2층 (가산동)8527에이스노래바2021-11-01 11:16:12U2021-11-03 02:40:00.0노래클럽190268.386583441840.575654노래클럽00<NA><NA><NA>00000<NA>00Y85.78<NA><NA><NA>
9931700003170000-102-2016-0000120160923<NA>3폐업2폐업20220816<NA><NA><NA><NA>94.73153801서울특별시 금천구 가산동 140-4 지상3층서울특별시 금천구 가산로 155-1, 지상3층 (가산동)8515빅토리아2022-08-16 09:12:32U2021-12-07 23:08:00.0기타190199.469816441864.517272<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10031700003170000-102-2017-0000120170510<NA>1영업/정상1영업<NA><NA><NA><NA>02 804778861.3153858서울특별시 금천구 시흥동 883-18번지 지하1층서울특별시 금천구 시흥대로 222, 지하1층 (시흥동)8628맨체스터2017-05-10 15:42:47I2018-08-31 23:59:59.0기타191195.659642439065.169432기타<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y61.3<NA><NA><NA>
10131700003170000-102-2024-000012024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>65.45153-864서울특별시 금천구 시흥동 994-3서울특별시 금천구 시흥대로 231, 2층 일부호 (시흥동)8632킹 노래바2024-04-17 15:02:50I2023-12-03 23:09:00.0기타191108.363798439129.969919<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>