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

Description번호,사업장명,소재지전체주소,도로명전체주소,개업일자,영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,소재지면적,소재지우편번호,부대시설내역,방송시설유무,건물용도명,자본금,좌석수,건축연면적,문화체육업종명,문화사업자구분명,전화번호,위치정보(X),위치정보(Y),상세영업상태명
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 08:48:26.238399
Analysis finished2023-12-11 08:48:26.683437
Duration0.45 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
2023-12-11T17:48:26.773222image/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 decreasing
2023-12-11T17:48:26.935137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 1
 
1.2%
39 1
 
1.2%
21 1
 
1.2%
22 1
 
1.2%
23 1
 
1.2%
24 1
 
1.2%
25 1
 
1.2%
26 1
 
1.2%
27 1
 
1.2%
28 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
2023-12-11T17:48:27.267418image/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 rowSK 네트웍스(주) 워커힐 면세점
2nd row(주)아이비씨코스메틱
3rd row아로양행
4th row(주)뉴미자코스메틱
5th row신촌유지비
ValueCountFrequency (%)
주식회사 5
 
5.3%
주)뉴미자코스메틱 2
 
2.1%
화창코리아(주 2
 
2.1%
코스메틱 2
 
2.1%
금지옥엽 1
 
1.1%
주)파라다이스듀티프리 1
 
1.1%
주)미담코스매틱 1
 
1.1%
코리아(주 1
 
1.1%
에스테퓨어 1
 
1.1%
갤러리 1
 
1.1%
Other values (77) 77
81.9%
2023-12-11T17:48:28.032086image/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%
이 10
 
1.6%
점 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%
이 10
 
2.0%
점 10
 
2.0%
한 9
 
1.8%
틱 9
 
1.8%
화 8
 
1.6%
Other values (140) 334
66.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
M 1
20.0%
A 1
20.0%
K 1
20.0%
S 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%
이 10
 
2.0%
점 10
 
2.0%
한 9
 
1.8%
틱 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 (%)
C 1
20.0%
M 1
20.0%
A 1
20.0%
K 1
20.0%
S 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%
이 10
 
2.0%
점 10
 
2.0%
한 9
 
1.8%
틱 9
 
1.8%
화 8
 
1.6%
Other values (140) 334
66.3%
ASCII
ValueCountFrequency (%)
( 50
42.0%
) 50
42.0%
14
 
11.8%
C 1
 
0.8%
M 1
 
0.8%
A 1
 
0.8%
K 1
 
0.8%
S 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
2023-12-11T17:48:28.502357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34.5
Mean length27.2625
Min length19

Characters and Unicode

Total characters2181
Distinct characters133
Distinct categories6 ?
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 광진구 광장동 산 21번지
2nd row서울특별시 은평구 역촌동 27-7번지 한울빌딩 1~3층
3rd row서울특별시 중랑구 상봉동 101번지 이지팰리스 405호
4th row서울특별시 서대문구 북가좌동 150번지 남수주상복합빌딩 1층 2-12-2
5th row서울특별시 서대문구 대현동 27-53번지 1층
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%
2023-12-11T17:48:29.129208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
18.4%
서 118
 
5.4%
1 108
 
5.0%
지 94
 
4.3%
구 82
 
3.8%
울 81
 
3.7%
동 81
 
3.7%
특 80
 
3.7%
별 80
 
3.7%
시 80
 
3.7%
Other values (123) 975
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
59.8%
Space Separator 402
 
18.4%
Decimal Number 396
 
18.2%
Dash Punctuation 69
 
3.2%
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%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
59.8%
Common 873
40.0%
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
46.0%
1 108
 
12.4%
- 69
 
7.9%
2 52
 
6.0%
4 46
 
5.3%
3 45
 
5.2%
5 35
 
4.0%
0 28
 
3.2%
6 26
 
3.0%
7 25
 
2.9%
Other values (3) 37
 
4.2%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
59.8%
ASCII 877
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
45.8%
1 108
 
12.3%
- 69
 
7.9%
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
 
2.9%
Other values (5) 41
 
4.7%
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
2023-12-11T17:48:29.526370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length28.775
Min length22

Characters and Unicode

Total characters2302
Distinct characters154
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

Unique80 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 워커힐로 177 (광장동)
2nd row서울특별시 은평구 진흥로 87 (역촌동 한울빌딩)
3rd row서울특별시 중랑구 망우로 312-1 (상봉동)
4th row서울특별시 서대문구 수색로 102 (북가좌동)
5th row서울특별시 서대문구 이화여대7길 40 1층 (대현동)
ValueCountFrequency (%)
서울특별시 80
 
17.6%
마포구 45
 
9.9%
서대문구 19
 
4.2%
1층 13
 
2.9%
월드컵북로 12
 
2.6%
연희로 7
 
1.5%
서교동 7
 
1.5%
연희동 7
 
1.5%
강서구 6
 
1.3%
모래내로 5
 
1.1%
Other values (192) 254
55.8%
2023-12-11T17:48:30.105733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
404
 
17.5%
서 121
 
5.3%
1 88
 
3.8%
로 86
 
3.7%
동 83
 
3.6%
구 82
 
3.6%
울 81
 
3.5%
시 80
 
3.5%
별 80
 
3.5%
( 80
 
3.5%
Other values (144) 1117
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
62.5%
Space Separator 404
 
17.5%
Decimal Number 282
 
12.3%
Open Punctuation 80
 
3.5%
Close Punctuation 80
 
3.5%
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%
시 80
 
5.6%
별 80
 
5.6%
특 80
 
5.6%
마 49
 
3.4%
포 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%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
62.5%
Common 859
37.3%
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%
시 80
 
5.6%
별 80
 
5.6%
특 80
 
5.6%
마 49
 
3.4%
포 49
 
3.4%
Other values (127) 648
45.0%
Common
ValueCountFrequency (%)
404
47.0%
1 88
 
10.2%
( 80
 
9.3%
) 80
 
9.3%
2 38
 
4.4%
3 31
 
3.6%
0 24
 
2.8%
4 23
 
2.7%
5 20
 
2.3%
8 18
 
2.1%
Other values (5) 53
 
6.2%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
62.5%
ASCII 863
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
404
46.8%
1 88
 
10.2%
( 80
 
9.3%
) 80
 
9.3%
2 38
 
4.4%
3 31
 
3.6%
0 24
 
2.8%
4 23
 
2.7%
5 20
 
2.3%
8 18
 
2.1%
Other values (7) 57
 
6.6%
Hangul
ValueCountFrequency (%)
서 121
 
8.4%
로 86
 
6.0%
동 83
 
5.8%
구 82
 
5.7%
울 81
 
5.6%
시 80
 
5.6%
별 80
 
5.6%
특 80
 
5.6%
마 49
 
3.4%
포 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
2023-12-11T17:48:30.286332image/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
2023-12-11T17:48:30.539228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130626 2
 
2.5%
20130218 1
 
1.2%
20070713 1
 
1.2%
20070928 1
 
1.2%
20071213 1
 
1.2%
20090317 1
 
1.2%
20090611 1
 
1.2%
20090831 1
 
1.2%
20100210 1
 
1.2%
20100222 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

2023-12-11T17:48:30.744217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:30.870420image/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
2023-12-11T17:48:31.007120image/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
2023-12-11T17:48:31.226174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121842 6
 
7.5%
120110 6
 
7.5%
121841 4
 
5.0%
121869 3
 
3.8%
121844 3
 
3.8%
121846 2
 
2.5%
121843 2
 
2.5%
121876 2
 
2.5%
121886 2
 
2.5%
120170 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
호텔
 
1
체육시설
 
1

Length

Max length6
Median length4
Mean length4.15
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

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

Length

2023-12-11T17:48:31.458427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:31.648459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
85.0%
근린생활시설 8
 
10.0%
사무실 2
 
2.5%
호텔 1
 
1.2%
체육시설 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
2023-12-11T17:48:31.798953image/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
2023-12-11T17:48:31.964165image/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%
100000000 2
 
2.5%
1000000000 2
 
2.5%
150000000 2
 
2.5%
90000000 1
 
1.2%
350000000 1
 
1.2%
180000000 1
 
1.2%
250000000 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

2023-12-11T17:48:32.132871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:32.278316image/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 row관광사업
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

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

Length

2023-12-11T17:48:32.410985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:32.552685image/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
2023-12-11T17:48:32.879930image/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 row1599-1110
2nd row354-0888
3rd row2208-7184
4th row338-1655
5th row02-392-1788
ValueCountFrequency (%)
336-9966 2
 
2.8%
338-8898 2
 
2.8%
333-8386 2
 
2.8%
338-1655 2
 
2.8%
325-3893 2
 
2.8%
706-6662 2
 
2.8%
302-1788 1
 
1.4%
714-8884 1
 
1.4%
2633-2020 1
 
1.4%
3661-7375 1
 
1.4%
Other values (56) 56
77.8%
2023-12-11T17:48:33.436244image/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
2023-12-11T17:48:33.657241image/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
2023-12-11T17:48:33.878356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194724.949072 2
 
2.5%
194998.676771 2
 
2.5%
194421.352158 2
 
2.5%
194324.688918 2
 
2.5%
192665.297818 2
 
2.5%
209963.032799 1
 
1.2%
192800.640825 1
 
1.2%
192529.042346 1
 
1.2%
192648.310761 1
 
1.2%
195054.091404 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
2023-12-11T17:48:34.085080image/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
2023-12-11T17:48:34.290082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449218.590624 2
 
2.5%
451016.275906 2
 
2.5%
450102.971929 2
 
2.5%
453274.093245 2
 
2.5%
451272.970228 2
 
2.5%
451028.729205 1
 
1.2%
450969.543647 1
 
1.2%
450686.631281 1
 
1.2%
450870.874388 1
 
1.2%
449570.460271 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

2023-12-11T17:48:34.530431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:48:34.675082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 79
98.8%
전입 1
 
1.2%

Sample

번호사업장명소재지전체주소도로명전체주소개업일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호부대시설내역방송시설유무건물용도명자본금좌석수건축연면적문화체육업종명문화사업자구분명전화번호위치정보(X)위치정보(Y)상세영업상태명
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179(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
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