Overview

Dataset statistics

Number of variables24
Number of observations80
Missing cells782
Missing cells (%)40.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.3 KiB
Average record size in memory208.7 B

Variable types

Numeric6
Text4
Categorical5
Unsupported9

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15164/S/1/datasetView.do

Alerts

영업상태명 has constant value ""Constant
문화체육업종명 has constant value ""Constant
건물용도명 is highly imbalanced (64.6%)Imbalance
상세영업상태명 is highly imbalanced (90.3%)Imbalance
폐업일자 has 80 (100.0%) missing valuesMissing
휴업시작일자 has 80 (100.0%) missing valuesMissing
휴업종료일자 has 80 (100.0%) missing valuesMissing
재개업일자 has 80 (100.0%) missing valuesMissing
소재지면적 has 80 (100.0%) missing valuesMissing
소재지우편번호 has 2 (2.5%) missing valuesMissing
부대시설내역 has 80 (100.0%) missing valuesMissing
방송시설유무 has 80 (100.0%) missing valuesMissing
자본금 has 52 (65.0%) missing valuesMissing
좌석수 has 80 (100.0%) missing valuesMissing
건축연면적 has 80 (100.0%) missing valuesMissing
전화번호 has 8 (10.0%) missing valuesMissing
번호 has unique valuesUnique
도로명전체주소 has unique valuesUnique
폐업일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 08:48:35.696813
Analysis finished2023-12-11 08:48:36.208824
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T17:48:36.316077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2023-12-11T17:48:36.519526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

사업장명
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T17:48:36.833228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.8125
Min length2

Characters and Unicode

Total characters625
Distinct characters160
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)97.5%

Sample

1st row엠엔디 주식회사
2nd row(주)서림쇼핑
3rd row(주)아리랑전통관광쇼핑에이마트
4th row롯데김포공항면세점
5th row유진 토산
ValueCountFrequency (%)
주식회사 5
 
5.3%
주)뉴미자코스메틱 2
 
2.1%
코스메틱 2
 
2.1%
화창코리아(주 2
 
2.1%
월드타워점 1
 
1.1%
주)필코리아 1
 
1.1%
주)더블유서울 1
 
1.1%
주)아트코리아 1
 
1.1%
청하고려인삼(주 1
 
1.1%
서울자수정 1
 
1.1%
Other values (77) 77
81.9%
2023-12-11T17:48:37.601723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 57
 
9.1%
( 50
 
8.0%
) 50
 
8.0%
코 20
 
3.2%
스 18
 
2.9%
아 16
 
2.6%
14
 
2.2%
리 13
 
2.1%
점 10
 
1.6%
이 10
 
1.6%
Other values (150) 367
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
80.6%
Open Punctuation 51
 
8.2%
Close Punctuation 51
 
8.2%
Space Separator 14
 
2.2%
Uppercase Letter 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 57
 
11.3%
코 20
 
4.0%
스 18
 
3.6%
아 16
 
3.2%
리 13
 
2.6%
점 10
 
2.0%
이 10
 
2.0%
틱 9
 
1.8%
한 9
 
1.8%
화 8
 
1.6%
Other values (140) 334
66.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
C 1
20.0%
M 1
20.0%
A 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 50
98.0%
［ 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 50
98.0%
］ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
80.6%
Common 116
 
18.6%
Latin 5
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 57
 
11.3%
코 20
 
4.0%
스 18
 
3.6%
아 16
 
3.2%
리 13
 
2.6%
점 10
 
2.0%
이 10
 
2.0%
틱 9
 
1.8%
한 9
 
1.8%
화 8
 
1.6%
Other values (140) 334
66.3%
Common
ValueCountFrequency (%)
( 50
43.1%
) 50
43.1%
14
 
12.1%
［ 1
 
0.9%
］ 1
 
0.9%
Latin
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
C 1
20.0%
M 1
20.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
80.6%
ASCII 119
 
19.0%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 57
 
11.3%
코 20
 
4.0%
스 18
 
3.6%
아 16
 
3.2%
리 13
 
2.6%
점 10
 
2.0%
이 10
 
2.0%
틱 9
 
1.8%
한 9
 
1.8%
화 8
 
1.6%
Other values (140) 334
66.3%
ASCII
ValueCountFrequency (%)
( 50
42.0%
) 50
42.0%
14
 
11.8%
S 1
 
0.8%
K 1
 
0.8%
C 1
 
0.8%
M 1
 
0.8%
A 1
 
0.8%
None
ValueCountFrequency (%)
［ 1
50.0%
］ 1
50.0%

소재지전체주소
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T17:48:37.999129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length27.35
Min length19

Characters and Unicode

Total characters2188
Distinct characters134
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

Unique78 ?
Unique (%)97.5%

Sample

1st row서울특별시 강서구 가양동 54-5번지 1층
2nd row서울특별시 강서구 등촌동 678-10번지 재영빌딩 B101호
3rd row서울특별시 강서구 등촌동 660-6번지
4th row서울특별시 강서구 방화동 866번지 김포공항국제선 3층 격리대합실 B사업지구
5th row서울특별시 강서구 방화동 294-10번지 2층, 3층
ValueCountFrequency (%)
서울특별시 80
19.7%
마포구 45
 
11.1%
서대문구 19
 
4.7%
1층 17
 
4.2%
서교동 12
 
3.0%
성산동 11
 
2.7%
연희동 8
 
2.0%
강서구 6
 
1.5%
종로구 5
 
1.2%
지하1층 5
 
1.2%
Other values (165) 198
48.8%
2023-12-11T17:48:38.659704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
18.4%
서 118
 
5.4%
1 108
 
4.9%
지 94
 
4.3%
구 82
 
3.7%
울 81
 
3.7%
동 81
 
3.7%
특 80
 
3.7%
별 80
 
3.7%
시 80
 
3.7%
Other values (124) 982
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
59.6%
Space Separator 402
 
18.4%
Decimal Number 396
 
18.1%
Dash Punctuation 69
 
3.2%
Other Punctuation 7
 
0.3%
Math Symbol 6
 
0.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 118
 
9.0%
지 94
 
7.2%
구 82
 
6.3%
울 81
 
6.2%
동 81
 
6.2%
특 80
 
6.1%
별 80
 
6.1%
시 80
 
6.1%
번 80
 
6.1%
포 48
 
3.7%
Other values (108) 480
36.8%
Decimal Number
ValueCountFrequency (%)
1 108
27.3%
2 52
13.1%
4 46
11.6%
3 45
11.4%
5 35
 
8.8%
0 28
 
7.1%
6 26
 
6.6%
7 25
 
6.3%
9 18
 
4.5%
8 13
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
59.6%
Common 880
40.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 118
 
9.0%
지 94
 
7.2%
구 82
 
6.3%
울 81
 
6.2%
동 81
 
6.2%
특 80
 
6.1%
별 80
 
6.1%
시 80
 
6.1%
번 80
 
6.1%
포 48
 
3.7%
Other values (108) 480
36.8%
Common
ValueCountFrequency (%)
402
45.7%
1 108
 
12.3%
- 69
 
7.8%
2 52
 
5.9%
4 46
 
5.2%
3 45
 
5.1%
5 35
 
4.0%
0 28
 
3.2%
6 26
 
3.0%
7 25
 
2.8%
Other values (4) 44
 
5.0%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
59.6%
ASCII 884
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
45.5%
1 108
 
12.2%
- 69
 
7.8%
2 52
 
5.9%
4 46
 
5.2%
3 45
 
5.1%
5 35
 
4.0%
0 28
 
3.2%
6 26
 
2.9%
7 25
 
2.8%
Other values (6) 48
 
5.4%
Hangul
ValueCountFrequency (%)
서 118
 
9.0%
지 94
 
7.2%
구 82
 
6.3%
울 81
 
6.2%
동 81
 
6.2%
특 80
 
6.1%
별 80
 
6.1%
시 80
 
6.1%
번 80
 
6.1%
포 48
 
3.7%
Other values (108) 480
36.8%

도로명전체주소
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-11T17:48:39.075464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length29.6
Min length22

Characters and Unicode

Total characters2368
Distinct characters155
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 양천로 410 (가양동,1층)
2nd row서울특별시 강서구 강서로 402, B101호 (등촌동,재영빌딩)
3rd row서울특별시 강서구 공항대로 375 (등촌동)
4th row서울특별시 강서구 금낭화로 100 (방화동,김포공항국제선 3층 격리대합실 B사업지구)
5th row서울특별시 강서구 방화대로 381 (방화동,2층, 3층)
ValueCountFrequency (%)
서울특별시 80
 
17.6%
마포구 45
 
9.9%
서대문구 19
 
4.2%
1층 13
 
2.9%
월드컵북로 12
 
2.6%
서교동 7
 
1.5%
연희로 7
 
1.5%
연희동 7
 
1.5%
강서구 6
 
1.3%
종로구 5
 
1.1%
Other values (192) 254
55.8%
2023-12-11T17:48:39.726718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
404
 
17.1%
서 121
 
5.1%
1 88
 
3.7%
로 86
 
3.6%
동 83
 
3.5%
구 82
 
3.5%
울 81
 
3.4%
특 80
 
3.4%
별 80
 
3.4%
시 80
 
3.4%
Other values (145) 1183
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
60.8%
Space Separator 404
 
17.1%
Decimal Number 282
 
11.9%
Close Punctuation 80
 
3.4%
Open Punctuation 80
 
3.4%
Other Punctuation 66
 
2.8%
Dash Punctuation 9
 
0.4%
Math Symbol 4
 
0.2%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 121
 
8.4%
로 86
 
6.0%
동 83
 
5.8%
구 82
 
5.7%
울 81
 
5.6%
특 80
 
5.6%
별 80
 
5.6%
시 80
 
5.6%
포 49
 
3.4%
마 49
 
3.4%
Other values (127) 648
45.0%
Decimal Number
ValueCountFrequency (%)
1 88
31.2%
2 38
13.5%
3 31
 
11.0%
0 24
 
8.5%
4 23
 
8.2%
5 20
 
7.1%
8 18
 
6.4%
9 16
 
5.7%
7 14
 
5.0%
6 10
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
404
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
60.8%
Common 925
39.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 121
 
8.4%
로 86
 
6.0%
동 83
 
5.8%
구 82
 
5.7%
울 81
 
5.6%
특 80
 
5.6%
별 80
 
5.6%
시 80
 
5.6%
포 49
 
3.4%
마 49
 
3.4%
Other values (127) 648
45.0%
Common
ValueCountFrequency (%)
404
43.7%
1 88
 
9.5%
) 80
 
8.6%
( 80
 
8.6%
, 66
 
7.1%
2 38
 
4.1%
3 31
 
3.4%
0 24
 
2.6%
4 23
 
2.5%
5 20
 
2.2%
Other values (6) 71
 
7.7%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
60.8%
ASCII 929
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
404
43.5%
1 88
 
9.5%
) 80
 
8.6%
( 80
 
8.6%
, 66
 
7.1%
2 38
 
4.1%
3 31
 
3.3%
0 24
 
2.6%
4 23
 
2.5%
5 20
 
2.2%
Other values (8) 75
 
8.1%
Hangul
ValueCountFrequency (%)
서 121
 
8.4%
로 86
 
6.0%
동 83
 
5.8%
구 82
 
5.7%
울 81
 
5.6%
특 80
 
5.6%
별 80
 
5.6%
시 80
 
5.6%
포 49
 
3.4%
마 49
 
3.4%
Other values (127) 648
45.0%

개업일자
Real number (ℝ)

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20084002
Minimum19830526
Maximum20141212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T17:48:39.956821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19830526
5-th percentile19988745
Q120060122
median20100525
Q320130104
95-th percentile20140723
Maximum20141212
Range310686
Interquartile range (IQR)69982

Descriptive statistics

Standard deviation59585.764
Coefficient of variation (CV)0.0029668273
Kurtosis4.6752075
Mean20084002
Median Absolute Deviation (MAD)30057.5
Skewness-1.8669337
Sum1.6067201 × 109
Variance3.5504633 × 109
MonotonicityNot monotonic
2023-12-11T17:48:40.156550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130626 2
 
2.5%
20131227 1
 
1.2%
20141202 1
 
1.2%
20130107 1
 
1.2%
20050701 1
 
1.2%
20030901 1
 
1.2%
19990308 1
 
1.2%
19830526 1
 
1.2%
20040817 1
 
1.2%
19960412 1
 
1.2%
Other values (69) 69
86.2%
ValueCountFrequency (%)
19830526 1
1.2%
19870427 1
1.2%
19960412 1
1.2%
19960905 1
1.2%
19990210 1
1.2%
19990308 1
1.2%
19990907 1
1.2%
20010713 1
1.2%
20020503 1
1.2%
20020523 1
1.2%
ValueCountFrequency (%)
20141212 1
1.2%
20141202 1
1.2%
20140828 1
1.2%
20140728 1
1.2%
20140723 1
1.2%
20140612 1
1.2%
20140414 1
1.2%
20140331 1
1.2%
20140327 1
1.2%
20140312 1
1.2%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
운영중
80 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 80
100.0%

Length

2023-12-11T17:48:40.345077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:40.480019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 80
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)71.8%
Missing2
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean123875.35
Minimum110140
Maximum157850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T17:48:40.634914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110140
5-th percentile110816.85
Q1120814.25
median121841
Q3121865.75
95-th percentile157145.65
Maximum157850
Range47710
Interquartile range (IQR)1051.5

Descriptive statistics

Standard deviation10104.951
Coefficient of variation (CV)0.081573543
Kurtosis6.1889891
Mean123875.35
Median Absolute Deviation (MAD)74.5
Skewness2.5052261
Sum9662277
Variance1.0211003 × 108
MonotonicityNot monotonic
2023-12-11T17:48:40.797380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120110 6
 
7.5%
121842 6
 
7.5%
121841 4
 
5.0%
121844 3
 
3.8%
121869 3
 
3.8%
121886 2
 
2.5%
121876 2
 
2.5%
121843 2
 
2.5%
120170 2
 
2.5%
121846 2
 
2.5%
Other values (46) 46
57.5%
(Missing) 2
 
2.5%
ValueCountFrequency (%)
110140 1
 
1.2%
110730 1
 
1.2%
110755 1
 
1.2%
110816 1
 
1.2%
110817 1
 
1.2%
120013 1
 
1.2%
120102 1
 
1.2%
120110 6
7.5%
120120 1
 
1.2%
120170 2
 
2.5%
ValueCountFrequency (%)
157850 1
1.2%
157847 1
1.2%
157839 1
1.2%
157801 1
1.2%
157030 1
1.2%
143210 1
1.2%
138240 1
1.2%
138220 1
1.2%
131859 1
1.2%
122897 1
1.2%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
68 
근린생활시설
8 
사무실
 
2
체육시설
 
1
호텔
 
1

Length

Max length6
Median length4
Mean length4.15
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
85.0%
근린생활시설 8
 
10.0%
사무실 2
 
2.5%
체육시설 1
 
1.2%
호텔 1
 
1.2%

Length

2023-12-11T17:48:40.986505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:41.124859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
85.0%
근린생활시설 8
 
10.0%
사무실 2
 
2.5%
체육시설 1
 
1.2%
호텔 1
 
1.2%

자본금
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)42.9%
Missing52
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean1.8348482 × 1010
Minimum50000000
Maximum5.0805 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T17:48:41.263732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile50000000
Q150000000
median1.5 × 108
Q33 × 108
95-th percentile1 × 109
Maximum5.0805 × 1011
Range5.08 × 1011
Interquartile range (IQR)2.5 × 108

Descriptive statistics

Standard deviation9.5972784 × 1010
Coefficient of variation (CV)5.2305571
Kurtosis27.9996
Mean1.8348482 × 1010
Median Absolute Deviation (MAD)1 × 108
Skewness5.2914479
Sum5.137575 × 1011
Variance9.2107753 × 1021
MonotonicityNot monotonic
2023-12-11T17:48:41.390540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
50000000 9
 
11.2%
300000000 4
 
5.0%
200000000 3
 
3.8%
150000000 2
 
2.5%
100000000 2
 
2.5%
1000000000 2
 
2.5%
87500000 1
 
1.2%
508050000000 1
 
1.2%
250000000 1
 
1.2%
180000000 1
 
1.2%
Other values (2) 2
 
2.5%
(Missing) 52
65.0%
ValueCountFrequency (%)
50000000 9
11.2%
87500000 1
 
1.2%
90000000 1
 
1.2%
100000000 2
 
2.5%
150000000 2
 
2.5%
180000000 1
 
1.2%
200000000 3
 
3.8%
250000000 1
 
1.2%
300000000 4
5.0%
350000000 1
 
1.2%
ValueCountFrequency (%)
508050000000 1
 
1.2%
1000000000 2
2.5%
350000000 1
 
1.2%
300000000 4
5.0%
250000000 1
 
1.2%
200000000 3
3.8%
180000000 1
 
1.2%
150000000 2
2.5%
100000000 2
2.5%
90000000 1
 
1.2%

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
외국인전용관광기념품판매점
80 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인전용관광기념품판매점 80
100.0%

Length

2023-12-11T17:48:41.546611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:41.645562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인전용관광기념품판매점 80
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
51 
관광사업
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
63.7%
관광사업 29
36.2%

Length

2023-12-11T17:48:41.753357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:41.855002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
63.7%
관광사업 29
36.2%

전화번호
Text

MISSING 

Distinct66
Distinct (%)91.7%
Missing8
Missing (%)10.0%
Memory size772.0 B
2023-12-11T17:48:42.143284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.8194444
Min length7

Characters and Unicode

Total characters635
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)83.3%

Sample

1st row02-2661-7548
2nd row3661-4561
3rd row3661-7375
4th row2064-2700
5th row2666-6883
ValueCountFrequency (%)
336-9966 2
 
2.8%
338-1655 2
 
2.8%
325-3893 2
 
2.8%
338-8898 2
 
2.8%
333-8386 2
 
2.8%
706-6662 2
 
2.8%
02-399-3048 1
 
1.4%
354-0888 1
 
1.4%
02-394-5551 1
 
1.4%
02-395-1688 1
 
1.4%
Other values (56) 56
77.8%
2023-12-11T17:48:42.561147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 105
16.5%
8 95
15.0%
- 83
13.1%
2 68
10.7%
6 62
9.8%
0 48
7.6%
1 46
7.2%
7 34
 
5.4%
9 33
 
5.2%
5 33
 
5.2%
Other values (2) 28
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 551
86.8%
Dash Punctuation 83
 
13.1%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 105
19.1%
8 95
17.2%
2 68
12.3%
6 62
11.3%
0 48
8.7%
1 46
8.3%
7 34
 
6.2%
9 33
 
6.0%
5 33
 
6.0%
4 27
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 105
16.5%
8 95
15.0%
- 83
13.1%
2 68
10.7%
6 62
9.8%
0 48
7.6%
1 46
7.2%
7 34
 
5.4%
9 33
 
5.2%
5 33
 
5.2%
Other values (2) 28
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 105
16.5%
8 95
15.0%
- 83
13.1%
2 68
10.7%
6 62
9.8%
0 48
7.6%
1 46
7.2%
7 34
 
5.4%
9 33
 
5.2%
5 33
 
5.2%
Other values (2) 28
 
4.4%

위치정보(X)
Real number (ℝ)

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193718.55
Minimum183386.76
Maximum209963.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T17:48:42.741708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183386.76
5-th percentile186689.74
Q1192436.04
median192992.68
Q3194378.11
95-th percentile198866.26
Maximum209963.03
Range26576.275
Interquartile range (IQR)1942.0736

Descriptive statistics

Standard deviation4299.1887
Coefficient of variation (CV)0.022192964
Kurtosis5.9330953
Mean193718.55
Median Absolute Deviation (MAD)1053.3041
Skewness1.5750845
Sum15497484
Variance18483024
MonotonicityNot monotonic
2023-12-11T17:48:42.901842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192665.297818 2
 
2.5%
194324.688918 2
 
2.5%
194998.676771 2
 
2.5%
194724.949072 2
 
2.5%
194421.352158 2
 
2.5%
193857.452405 1
 
1.2%
194642.241007 1
 
1.2%
192778.7036 1
 
1.2%
206769.660832 1
 
1.2%
209129.0 1
 
1.2%
Other values (65) 65
81.2%
ValueCountFrequency (%)
183386.757805 1
1.2%
183782.767497 1
1.2%
185817.634833 1
1.2%
186492.874954 1
1.2%
186700.10098 1
1.2%
188147.038807 1
1.2%
190025.552098 1
1.2%
190539.879606 1
1.2%
190767.940193 1
1.2%
191786.815777 1
1.2%
ValueCountFrequency (%)
209963.032799 1
1.2%
209129.0 1
1.2%
207697.803033 1
1.2%
206769.660832 1
1.2%
198450.29332 1
1.2%
198143.444029 1
1.2%
197892.146146 1
1.2%
196918.570321 1
1.2%
196750.289074 1
1.2%
196667.473973 1
1.2%

위치정보(Y)
Real number (ℝ)

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451416.93
Minimum445785
Maximum456132.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T17:48:43.083539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445785
5-th percentile449218.59
Q1450561.36
median451289.81
Q3452537.18
95-th percentile453639.21
Maximum456132.21
Range10347.212
Interquartile range (IQR)1975.824

Descriptive statistics

Standard deviation1679.6943
Coefficient of variation (CV)0.0037209377
Kurtosis2.2359739
Mean451416.93
Median Absolute Deviation (MAD)933.88249
Skewness-0.15173516
Sum36113354
Variance2821372.8
MonotonicityNot monotonic
2023-12-11T17:48:43.249938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451272.970228 2
 
2.5%
453274.093245 2
 
2.5%
451016.275906 2
 
2.5%
449218.590624 2
 
2.5%
450102.971929 2
 
2.5%
449433.85344 1
 
1.2%
449560.065995 1
 
1.2%
451863.185574 1
 
1.2%
446304.784078 1
 
1.2%
445785.0 1
 
1.2%
Other values (65) 65
81.2%
ValueCountFrequency (%)
445785.0 1
1.2%
446304.784078 1
1.2%
448872.070058 1
1.2%
449218.590624 2
2.5%
449433.85344 1
1.2%
449560.065995 1
1.2%
449570.460271 1
1.2%
449572.024754 1
1.2%
449923.419119 1
1.2%
449927.035756 1
1.2%
ValueCountFrequency (%)
456132.211627 1
1.2%
455453.710184 1
1.2%
455228.968508 1
1.2%
455015.625605 1
1.2%
453566.767479 1
1.2%
453420.271024 1
1.2%
453358.3113 1
1.2%
453274.093245 2
2.5%
452986.923541 1
1.2%
452938.079005 1
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
영업중
79 
전입
 
1

Length

Max length3
Median length3
Mean length2.9875
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 79
98.8%
전입 1
 
1.2%

Length

2023-12-11T17:48:43.434973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:43.571726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 79
98.8%
전입 1
 
1.2%

Sample

번호사업장명소재지전체주소도로명전체주소개업일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호부대시설내역방송시설유무건물용도명자본금좌석수건축연면적문화체육업종명문화사업자구분명전화번호위치정보(X)위치정보(Y)상세영업상태명
01엠엔디 주식회사서울특별시 강서구 가양동 54-5번지 1층서울특별시 강서구 양천로 410 (가양동,1층)20010713운영중<NA><NA><NA><NA><NA>157801<NA><NA><NA>87500000<NA><NA>외국인전용관광기념품판매점<NA>02-2661-7548186492.874954451739.636759영업중
12(주)서림쇼핑서울특별시 강서구 등촌동 678-10번지 재영빌딩 B101호서울특별시 강서구 강서로 402, B101호 (등촌동,재영빌딩)20070109운영중<NA><NA><NA><NA><NA>157030<NA><NA>근린생활시설50000000<NA><NA>외국인전용관광기념품판매점관광사업3661-4561185817.634833451323.583689영업중
23(주)아리랑전통관광쇼핑에이마트서울특별시 강서구 등촌동 660-6번지서울특별시 강서구 공항대로 375 (등촌동)20090619운영중<NA><NA><NA><NA><NA><NA><NA><NA>근린생활시설300000000<NA><NA>외국인전용관광기념품판매점<NA>3661-7375186700.10098450866.700881영업중
34롯데김포공항면세점서울특별시 강서구 방화동 866번지 김포공항국제선 3층 격리대합실 B사업지구서울특별시 강서구 금낭화로 100 (방화동,김포공항국제선 3층 격리대합실 B사업지구)20110516운영중<NA><NA><NA><NA><NA>157850<NA><NA><NA>508050000000<NA><NA>외국인전용관광기념품판매점<NA>2064-2700183386.757805452754.39935영업중
45유진 토산서울특별시 강서구 방화동 294-10번지 2층, 3층서울특별시 강서구 방화대로 381 (방화동,2층, 3층)20110531운영중<NA><NA><NA><NA><NA>157847<NA><NA><NA>250000000<NA><NA>외국인전용관광기념품판매점<NA>2666-6883183782.767497452831.645119영업중
56(주)장흥서울특별시 강서구 등촌동 633-24번지서울특별시 강서구 공항대로59다길 33-10 (등촌동)20130103운영중<NA><NA><NA><NA><NA>157839<NA><NA><NA>150000000<NA><NA>외국인전용관광기념품판매점<NA>02)3664-8086188147.038807450416.138805영업중
67서아통상(주)서울특별시 마포구 동교동 113-3번지 서아빌딩4층서울특별시 마포구 연희로 25-1 (동교동,서아빌딩4층)19870427운영중<NA><NA><NA><NA><NA>121816<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점관광사업<NA>193511.625283451306.641285영업중
78한농동충하초서울특별시 마포구 서교동 464-46번지서울특별시 마포구 동교로 136 (서교동)19990907운영중<NA><NA><NA><NA><NA>121842<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점관광사업325-3893192689.045302450616.621114영업중
89(주)금화테크윈서울특별시 마포구 창전동 113번지 1층서울특별시 마포구 서강로1길 6 (창전동,1층)20020503운영중<NA><NA><NA><NA><NA>121881<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점관광사업334-2817193932.103808449923.419119영업중
910(주)다미자수정서울특별시 마포구 성산동 51-11번지 신안빌딩 지하1층서울특별시 마포구 월드컵북로 136 (성산동,신안빌딩 지하1층)20020523운영중<NA><NA><NA><NA><NA>121747<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점관광사업3142-8836192267.186568451724.697928영업중
번호사업장명소재지전체주소도로명전체주소개업일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호부대시설내역방송시설유무건물용도명자본금좌석수건축연면적문화체육업종명문화사업자구분명전화번호위치정보(X)위치정보(Y)상세영업상태명
7071미란다 코스메틱서울특별시 서대문구 홍은동 402-39번지 성우아파트 1층 A-102호, B-101호서울특별시 서대문구 가좌로 83 (홍은동,성우아파트 1층 A-102호, B-101호)20101126운영중<NA><NA><NA><NA><NA>120102<NA><NA><NA>300000000<NA><NA>외국인전용관광기념품판매점<NA>02-303-0265193619.998104453420.271024영업중
7172(주)진코스메틱서울특별시 서대문구 연희동 169-25번지서울특별시 서대문구 연희로 245 (연희동)20111207운영중<NA><NA><NA><NA><NA>120110<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점<NA>3144-4933194324.688918453274.093245영업중
7273주식회사 보수서간원서울특별시 서대문구 충정로3가 476번지 구세군빌딩 지하1층 8~13호서울특별시 서대문구 충정로 7 (충정로3가, 구세군빌딩)20120209운영중<NA><NA><NA><NA><NA>120013<NA><NA><NA>300000000<NA><NA>외국인전용관광기념품판매점<NA>02-6364-4987196667.473973451176.512592영업중
7374화창코리아(주) ［지점］서울특별시 서대문구 연희동 81-11번지서울특별시 서대문구 연희로 161 (연희동)20120329운영중<NA><NA><NA><NA><NA>120110<NA><NA><NA>50000000<NA><NA>외국인전용관광기념품판매점<NA>02-325-6999194208.874886452463.947993영업중
7475뷰티코코서울특별시 서대문구 연희동 703번지 1층서울특별시 서대문구 증가로 80, 1층 (연희동)20120409운영중<NA><NA><NA><NA><NA>120110<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점<NA>02-720-2988193588.911727452787.135115영업중
7576신촌유지비서울특별시 서대문구 대현동 27-53번지 1층서울특별시 서대문구 이화여대7길 40, 1층 (대현동)20120904운영중<NA><NA><NA><NA><NA>120170<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점<NA>02-392-1788194998.676771451016.275906영업중
7677(주)뉴미자코스메틱서울특별시 서대문구 북가좌동 150번지 남수주상복합빌딩 1층 2-1,2-2서울특별시 서대문구 수색로 102 (북가좌동)20130502운영중<NA><NA><NA><NA><NA>120811<NA><NA><NA>50000000<NA><NA>외국인전용관광기념품판매점<NA>338-1655191899.339523452595.303919영업중
7778아로양행서울특별시 중랑구 상봉동 101번지 이지팰리스 405호서울특별시 중랑구 망우로 312-1 (상봉동)20091125운영중<NA><NA><NA><NA><NA>131859<NA><NA>사무실90000000<NA><NA>외국인전용관광기념품판매점<NA>2208-7184207697.803033455228.968508영업중
7879(주)아이비씨코스메틱서울특별시 은평구 역촌동 27-7번지 한울빌딩 1~3층서울특별시 은평구 진흥로 87 (역촌동, 한울빌딩)20121221운영중<NA><NA><NA><NA><NA>122897<NA><NA><NA>50000000<NA><NA>외국인전용관광기념품판매점<NA>354-0888193087.922368456132.211627영업중
7980SK 네트웍스(주) 워커힐 면세점서울특별시 광진구 광장동 산 21번지서울특별시 광진구 워커힐로 177 (광장동)20041111운영중<NA><NA><NA><NA><NA>143210<NA><NA><NA><NA><NA><NA>외국인전용관광기념품판매점관광사업1599-1110209963.032799451028.729205영업중