Overview

Dataset statistics

Number of variables34
Number of observations146
Missing cells1400
Missing cells (%)28.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory290.9 B

Variable types

Categorical12
Text6
DateTime4
Unsupported8
Numeric4

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),문화체육업종명,공사립구분명,보험가입여부코드,지도자수,건축물동수,건축물연면적,회원모집총인원,세부업종명,법인명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19592/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지도자수 is highly imbalanced (84.3%)Imbalance
건축물동수 is highly imbalanced (53.8%)Imbalance
회원모집총인원 is highly imbalanced (85.5%)Imbalance
인허가취소일자 has 146 (100.0%) missing valuesMissing
폐업일자 has 66 (45.2%) missing valuesMissing
휴업시작일자 has 146 (100.0%) missing valuesMissing
휴업종료일자 has 146 (100.0%) missing valuesMissing
재개업일자 has 146 (100.0%) missing valuesMissing
전화번호 has 14 (9.6%) missing valuesMissing
소재지면적 has 146 (100.0%) missing valuesMissing
소재지우편번호 has 46 (31.5%) missing valuesMissing
도로명주소 has 3 (2.1%) missing valuesMissing
도로명우편번호 has 52 (35.6%) missing valuesMissing
업태구분명 has 146 (100.0%) missing valuesMissing
좌표정보(X) has 9 (6.2%) missing valuesMissing
좌표정보(Y) has 9 (6.2%) missing valuesMissing
건축물연면적 has 33 (22.6%) missing valuesMissing
세부업종명 has 146 (100.0%) missing valuesMissing
법인명 has 146 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
최종수정일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세부업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
법인명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:53:52.804268
Analysis finished2024-04-06 10:53:53.895197
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3150000
146 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 146
100.0%

Length

2024-04-06T19:53:54.010433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:54.293573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 146
100.0%

관리번호
Text

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T19:53:54.597110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2920
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)100.0%

Sample

1st rowCDFH3301051994000001
2nd rowCDFH3301051996000001
3rd rowCDFH3301051996000002
4th rowCDFH3301051999000001
5th rowCDFH3301051999000002
ValueCountFrequency (%)
cdfh3301051994000001 1
 
0.7%
cdfh3301052013000001 1
 
0.7%
cdfh3301052010000012 1
 
0.7%
cdfh3301052011000003 1
 
0.7%
cdfh3301052010000013 1
 
0.7%
cdfh3301052010000014 1
 
0.7%
cdfh3301052010000015 1
 
0.7%
cdfh3301052010000016 1
 
0.7%
cdfh3301052011000001 1
 
0.7%
cdfh3301052011000002 1
 
0.7%
Other values (136) 136
93.2%
2024-04-06T19:53:55.154765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1236
42.3%
3 328
 
11.2%
1 278
 
9.5%
2 175
 
6.0%
5 172
 
5.9%
C 146
 
5.0%
D 146
 
5.0%
F 146
 
5.0%
H 146
 
5.0%
9 46
 
1.6%
Other values (4) 101
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2336
80.0%
Uppercase Letter 584
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1236
52.9%
3 328
 
14.0%
1 278
 
11.9%
2 175
 
7.5%
5 172
 
7.4%
9 46
 
2.0%
8 32
 
1.4%
4 23
 
1.0%
6 23
 
1.0%
7 23
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 146
25.0%
D 146
25.0%
F 146
25.0%
H 146
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2336
80.0%
Latin 584
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1236
52.9%
3 328
 
14.0%
1 278
 
11.9%
2 175
 
7.5%
5 172
 
7.4%
9 46
 
2.0%
8 32
 
1.4%
4 23
 
1.0%
6 23
 
1.0%
7 23
 
1.0%
Latin
ValueCountFrequency (%)
C 146
25.0%
D 146
25.0%
F 146
25.0%
H 146
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1236
42.3%
3 328
 
11.2%
1 278
 
9.5%
2 175
 
6.0%
5 172
 
5.9%
C 146
 
5.0%
D 146
 
5.0%
F 146
 
5.0%
H 146
 
5.0%
9 46
 
1.6%
Other values (4) 101
 
3.5%

인허가일자
Date

Distinct139
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1994-12-22 00:00:00
Maximum2020-01-20 00:00:00
2024-04-06T19:53:55.414186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:55.784246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
77 
1
66 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 77
52.7%
1 66
45.2%
4 3
 
2.1%

Length

2024-04-06T19:53:56.056480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:56.265160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 77
52.7%
1 66
45.2%
4 3
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
77 
영업/정상
66 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.6027397
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 77
52.7%
영업/정상 66
45.2%
취소/말소/만료/정지/중지 3
 
2.1%

Length

2024-04-06T19:53:56.462564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:56.637077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 77
52.7%
영업/정상 66
45.2%
취소/말소/만료/정지/중지 3
 
2.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
77 
13
66 
35
 
3

Length

Max length2
Median length1
Mean length1.4726027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row3
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 77
52.7%
13 66
45.2%
35 3
 
2.1%

Length

2024-04-06T19:53:56.853453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:57.031639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 77
52.7%
13 66
45.2%
35 3
 
2.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
77 
영업중
66 
직권말소
 
3

Length

Max length4
Median length2
Mean length2.4931507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 77
52.7%
영업중 66
45.2%
직권말소 3
 
2.1%

Length

2024-04-06T19:53:57.213258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:53:57.384862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 77
52.7%
영업중 66
45.2%
직권말소 3
 
2.1%

폐업일자
Date

MISSING 

Distinct76
Distinct (%)95.0%
Missing66
Missing (%)45.2%
Memory size1.3 KiB
Minimum2004-04-26 00:00:00
Maximum2024-01-23 00:00:00
2024-04-06T19:53:57.554049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:53:57.792881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct129
Distinct (%)97.7%
Missing14
Missing (%)9.6%
Memory size1.3 KiB
2024-04-06T19:53:58.261667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.219697
Min length8

Characters and Unicode

Total characters1217
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

Unique126 ?
Unique (%)95.5%

Sample

1st row2608-2077
2nd row2658-7929
3rd row2665-7766
4th row3665-3399
5th row3661-5000
ValueCountFrequency (%)
2606-7676 2
 
1.5%
2668-2323 2
 
1.5%
3663-8400 2
 
1.5%
2666-0053 1
 
0.8%
2649-2277 1
 
0.8%
02-2668-2323 1
 
0.8%
1544-6857 1
 
0.8%
070-8181-7544 1
 
0.8%
3663-2115 1
 
0.8%
2667-4388 1
 
0.8%
Other values (119) 119
90.2%
2024-04-06T19:53:59.018986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 238
19.6%
2 146
12.0%
- 141
11.6%
0 125
10.3%
3 113
9.3%
7 89
 
7.3%
5 85
 
7.0%
1 74
 
6.1%
4 72
 
5.9%
8 71
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1076
88.4%
Dash Punctuation 141
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 238
22.1%
2 146
13.6%
0 125
11.6%
3 113
10.5%
7 89
 
8.3%
5 85
 
7.9%
1 74
 
6.9%
4 72
 
6.7%
8 71
 
6.6%
9 63
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 238
19.6%
2 146
12.0%
- 141
11.6%
0 125
10.3%
3 113
9.3%
7 89
 
7.3%
5 85
 
7.0%
1 74
 
6.1%
4 72
 
5.9%
8 71
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 238
19.6%
2 146
12.0%
- 141
11.6%
0 125
10.3%
3 113
9.3%
7 89
 
7.3%
5 85
 
7.0%
1 74
 
6.1%
4 72
 
5.9%
8 71
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Text

MISSING 

Distinct52
Distinct (%)52.0%
Missing46
Missing (%)31.5%
Memory size1.3 KiB
2024-04-06T19:53:59.371843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.03
Min length6

Characters and Unicode

Total characters603
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)28.0%

Sample

1st row157922
2nd row157930
3rd row157812
4th row157040
5th row157838
ValueCountFrequency (%)
157030 10
 
10.0%
157801 6
 
6.0%
157930 5
 
5.0%
157838 4
 
4.0%
157280 4
 
4.0%
157862 4
 
4.0%
157864 3
 
3.0%
157863 3
 
3.0%
157812 3
 
3.0%
157884 2
 
2.0%
Other values (42) 56
56.0%
2024-04-06T19:53:59.961243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 123
20.4%
7 120
19.9%
5 108
17.9%
8 67
11.1%
0 55
9.1%
3 36
 
6.0%
9 32
 
5.3%
2 21
 
3.5%
6 19
 
3.2%
4 19
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
99.5%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 123
20.5%
7 120
20.0%
5 108
18.0%
8 67
11.2%
0 55
9.2%
3 36
 
6.0%
9 32
 
5.3%
2 21
 
3.5%
6 19
 
3.2%
4 19
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 603
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 123
20.4%
7 120
19.9%
5 108
17.9%
8 67
11.1%
0 55
9.1%
3 36
 
6.0%
9 32
 
5.3%
2 21
 
3.5%
6 19
 
3.2%
4 19
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 123
20.4%
7 120
19.9%
5 108
17.9%
8 67
11.1%
0 55
9.1%
3 36
 
6.0%
9 32
 
5.3%
2 21
 
3.5%
6 19
 
3.2%
4 19
 
3.2%

지번주소
Text

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T19:54:00.429391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length31.143836
Min length20

Characters and Unicode

Total characters4547
Distinct characters180
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 화곡동 1032-25 지층
2nd row서울특별시 강서구 등촌동 697-1 601~602호
3rd row서울특별시 강서구 공항동 53-9번지
4th row서울특별시 강서구 염창동 산 24-10번지
5th row서울특별시 강서구 가양동 1458번지 B동
ValueCountFrequency (%)
서울특별시 146
 
17.5%
강서구 146
 
17.5%
등촌동 34
 
4.1%
화곡동 31
 
3.7%
염창동 22
 
2.6%
지층 19
 
2.3%
마곡동 17
 
2.0%
내발산동 13
 
1.6%
방화동 13
 
1.6%
2층 12
 
1.4%
Other values (296) 381
45.7%
2024-04-06T19:54:01.186867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
815
 
17.9%
서 294
 
6.5%
1 209
 
4.6%
동 162
 
3.6%
지 158
 
3.5%
강 151
 
3.3%
시 148
 
3.3%
특 146
 
3.2%
별 146
 
3.2%
구 146
 
3.2%
Other values (170) 2172
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2543
55.9%
Decimal Number 956
 
21.0%
Space Separator 815
 
17.9%
Dash Punctuation 127
 
2.8%
Uppercase Letter 50
 
1.1%
Other Punctuation 30
 
0.7%
Math Symbol 21
 
0.5%
Letter Number 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 294
 
11.6%
동 162
 
6.4%
지 158
 
6.2%
강 151
 
5.9%
시 148
 
5.8%
특 146
 
5.7%
별 146
 
5.7%
구 146
 
5.7%
울 146
 
5.7%
번 110
 
4.3%
Other values (146) 936
36.8%
Decimal Number
ValueCountFrequency (%)
1 209
21.9%
2 129
13.5%
0 117
12.2%
6 100
10.5%
5 83
 
8.7%
7 75
 
7.8%
3 72
 
7.5%
4 68
 
7.1%
8 54
 
5.6%
9 49
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 41
82.0%
A 5
 
10.0%
K 1
 
2.0%
J 1
 
2.0%
T 1
 
2.0%
P 1
 
2.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2543
55.9%
Common 1951
42.9%
Latin 53
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 294
 
11.6%
동 162
 
6.4%
지 158
 
6.2%
강 151
 
5.9%
시 148
 
5.8%
특 146
 
5.7%
별 146
 
5.7%
구 146
 
5.7%
울 146
 
5.7%
번 110
 
4.3%
Other values (146) 936
36.8%
Common
ValueCountFrequency (%)
815
41.8%
1 209
 
10.7%
2 129
 
6.6%
- 127
 
6.5%
0 117
 
6.0%
6 100
 
5.1%
5 83
 
4.3%
7 75
 
3.8%
3 72
 
3.7%
4 68
 
3.5%
Other values (6) 156
 
8.0%
Latin
ValueCountFrequency (%)
B 41
77.4%
A 5
 
9.4%
Ⅱ 2
 
3.8%
Ⅰ 1
 
1.9%
K 1
 
1.9%
J 1
 
1.9%
T 1
 
1.9%
P 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2543
55.9%
ASCII 2001
44.0%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
815
40.7%
1 209
 
10.4%
2 129
 
6.4%
- 127
 
6.3%
0 117
 
5.8%
6 100
 
5.0%
5 83
 
4.1%
7 75
 
3.7%
3 72
 
3.6%
4 68
 
3.4%
Other values (12) 206
 
10.3%
Hangul
ValueCountFrequency (%)
서 294
 
11.6%
동 162
 
6.4%
지 158
 
6.2%
강 151
 
5.9%
시 148
 
5.8%
특 146
 
5.7%
별 146
 
5.7%
구 146
 
5.7%
울 146
 
5.7%
번 110
 
4.3%
Other values (146) 936
36.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

도로명주소
Text

MISSING 

Distinct143
Distinct (%)100.0%
Missing3
Missing (%)2.1%
Memory size1.3 KiB
2024-04-06T19:54:01.763416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length35.230769
Min length23

Characters and Unicode

Total characters5038
Distinct characters184
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 강서로 201 (화곡동,지층)
2nd row서울특별시 강서구 공항대로41길 65, 601~602호 (등촌동)
3rd row서울특별시 강서구 양천로67길 43 (염창동)
4th row서울특별시 강서구 강서로 506, B동 (가양동)
5th row서울특별시 강서구 화곡로 408 (등촌동,영보개발빌딩 B1)
ValueCountFrequency (%)
서울특별시 143
 
15.6%
강서구 143
 
15.6%
등촌동 23
 
2.5%
공항대로 21
 
2.3%
화곡동 19
 
2.1%
염창동 19
 
2.1%
양천로 18
 
2.0%
마곡동 16
 
1.7%
지층 16
 
1.7%
화곡로 12
 
1.3%
Other values (322) 485
53.0%
2024-04-06T19:54:02.518022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
810
 
16.1%
서 315
 
6.3%
, 190
 
3.8%
1 177
 
3.5%
강 173
 
3.4%
동 162
 
3.2%
시 145
 
2.9%
로 145
 
2.9%
울 143
 
2.8%
) 143
 
2.8%
Other values (174) 2635
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2842
56.4%
Decimal Number 814
 
16.2%
Space Separator 810
 
16.1%
Other Punctuation 190
 
3.8%
Close Punctuation 143
 
2.8%
Open Punctuation 143
 
2.8%
Uppercase Letter 53
 
1.1%
Math Symbol 22
 
0.4%
Dash Punctuation 18
 
0.4%
Letter Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 315
 
11.1%
강 173
 
6.1%
동 162
 
5.7%
시 145
 
5.1%
로 145
 
5.1%
울 143
 
5.0%
구 143
 
5.0%
별 143
 
5.0%
특 143
 
5.0%
층 98
 
3.4%
Other values (150) 1232
43.3%
Decimal Number
ValueCountFrequency (%)
1 177
21.7%
2 108
13.3%
0 103
12.7%
5 88
10.8%
3 77
9.5%
6 76
9.3%
4 75
9.2%
7 45
 
5.5%
9 33
 
4.1%
8 32
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 41
77.4%
A 8
 
15.1%
K 1
 
1.9%
J 1
 
1.9%
T 1
 
1.9%
P 1
 
1.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
810
100.0%
Other Punctuation
ValueCountFrequency (%)
, 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2842
56.4%
Common 2140
42.5%
Latin 56
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 315
 
11.1%
강 173
 
6.1%
동 162
 
5.7%
시 145
 
5.1%
로 145
 
5.1%
울 143
 
5.0%
구 143
 
5.0%
별 143
 
5.0%
특 143
 
5.0%
층 98
 
3.4%
Other values (150) 1232
43.3%
Common
ValueCountFrequency (%)
810
37.9%
, 190
 
8.9%
1 177
 
8.3%
) 143
 
6.7%
( 143
 
6.7%
2 108
 
5.0%
0 103
 
4.8%
5 88
 
4.1%
3 77
 
3.6%
6 76
 
3.6%
Other values (6) 225
 
10.5%
Latin
ValueCountFrequency (%)
B 41
73.2%
A 8
 
14.3%
Ⅱ 2
 
3.6%
Ⅰ 1
 
1.8%
K 1
 
1.8%
J 1
 
1.8%
T 1
 
1.8%
P 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2842
56.4%
ASCII 2193
43.5%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
810
36.9%
, 190
 
8.7%
1 177
 
8.1%
) 143
 
6.5%
( 143
 
6.5%
2 108
 
4.9%
0 103
 
4.7%
5 88
 
4.0%
3 77
 
3.5%
6 76
 
3.5%
Other values (12) 278
 
12.7%
Hangul
ValueCountFrequency (%)
서 315
 
11.1%
강 173
 
6.1%
동 162
 
5.7%
시 145
 
5.1%
로 145
 
5.1%
울 143
 
5.0%
구 143
 
5.0%
별 143
 
5.0%
특 143
 
5.0%
층 98
 
3.4%
Other values (150) 1232
43.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)71.3%
Missing52
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean14028.628
Minimum7505
Maximum157908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T19:54:02.876012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7516.65
Q17557
median7622
Q37752.5
95-th percentile7806.35
Maximum157908
Range150403
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation30487.061
Coefficient of variation (CV)2.1732034
Kurtosis19.636241
Mean14028.628
Median Absolute Deviation (MAD)67.5
Skewness4.6063619
Sum1318691
Variance9.294609 × 108
MonotonicityNot monotonic
2024-04-06T19:54:03.180362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7590 5
 
3.4%
7788 4
 
2.7%
7803 3
 
2.1%
7649 3
 
2.1%
7573 2
 
1.4%
7801 2
 
1.4%
7798 2
 
1.4%
7622 2
 
1.4%
7529 2
 
1.4%
7653 2
 
1.4%
Other values (57) 67
45.9%
(Missing) 52
35.6%
ValueCountFrequency (%)
7505 1
0.7%
7510 1
0.7%
7511 1
0.7%
7513 1
0.7%
7516 1
0.7%
7517 1
0.7%
7528 1
0.7%
7529 2
1.4%
7539 1
0.7%
7540 1
0.7%
ValueCountFrequency (%)
157908 1
 
0.7%
157862 2
1.4%
157846 1
 
0.7%
7807 1
 
0.7%
7806 1
 
0.7%
7803 3
2.1%
7802 1
 
0.7%
7801 2
1.4%
7798 2
1.4%
7791 1
 
0.7%

사업장명
Text

Distinct143
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T19:54:03.615121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.4452055
Min length3

Characters and Unicode

Total characters1233
Distinct characters200
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)95.9%

Sample

1st row라이프골프장(실내)
2nd row그랜드스크린골프
3rd row로얄골프타운
4th row삼성골프연습장
5th row가양골프연습장
ValueCountFrequency (%)
골프 16
 
6.1%
스크린골프 13
 
5.0%
스크린 11
 
4.2%
골프연습장 7
 
2.7%
골프존 7
 
2.7%
마곡 6
 
2.3%
골프아카데미 4
 
1.5%
아카데미 4
 
1.5%
강서 3
 
1.1%
골프스쿨 3
 
1.1%
Other values (164) 188
71.8%
2024-04-06T19:54:04.299953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 125
 
10.1%
골 121
 
9.8%
116
 
9.4%
스 91
 
7.4%
크 57
 
4.6%
린 55
 
4.5%
존 20
 
1.6%
이 19
 
1.5%
장 19
 
1.5%
연 17
 
1.4%
Other values (190) 593
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1006
81.6%
Space Separator 116
 
9.4%
Uppercase Letter 79
 
6.4%
Decimal Number 12
 
1.0%
Lowercase Letter 11
 
0.9%
Other Punctuation 5
 
0.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 125
 
12.4%
골 121
 
12.0%
스 91
 
9.0%
크 57
 
5.7%
린 55
 
5.5%
존 20
 
2.0%
이 19
 
1.9%
장 19
 
1.9%
연 17
 
1.7%
습 17
 
1.7%
Other values (147) 465
46.2%
Uppercase Letter
ValueCountFrequency (%)
G 14
17.7%
O 8
 
10.1%
A 6
 
7.6%
S 6
 
7.6%
M 5
 
6.3%
F 4
 
5.1%
C 4
 
5.1%
T 4
 
5.1%
R 4
 
5.1%
N 3
 
3.8%
Other values (10) 21
26.6%
Lowercase Letter
ValueCountFrequency (%)
y 2
18.2%
o 2
18.2%
e 1
9.1%
n 1
9.1%
t 1
9.1%
p 1
9.1%
r 1
9.1%
m 1
9.1%
d 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
25.0%
3 2
16.7%
0 2
16.7%
4 1
 
8.3%
8 1
 
8.3%
9 1
 
8.3%
1 1
 
8.3%
7 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
' 2
40.0%
& 2
40.0%
＆ 1
20.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1006
81.6%
Common 137
 
11.1%
Latin 90
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 125
 
12.4%
골 121
 
12.0%
스 91
 
9.0%
크 57
 
5.7%
린 55
 
5.5%
존 20
 
2.0%
이 19
 
1.9%
장 19
 
1.9%
연 17
 
1.7%
습 17
 
1.7%
Other values (147) 465
46.2%
Latin
ValueCountFrequency (%)
G 14
15.6%
O 8
 
8.9%
A 6
 
6.7%
S 6
 
6.7%
M 5
 
5.6%
F 4
 
4.4%
C 4
 
4.4%
T 4
 
4.4%
R 4
 
4.4%
N 3
 
3.3%
Other values (19) 32
35.6%
Common
ValueCountFrequency (%)
116
84.7%
2 3
 
2.2%
' 2
 
1.5%
3 2
 
1.5%
0 2
 
1.5%
) 2
 
1.5%
( 2
 
1.5%
& 2
 
1.5%
4 1
 
0.7%
8 1
 
0.7%
Other values (4) 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1006
81.6%
ASCII 226
 
18.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 125
 
12.4%
골 121
 
12.0%
스 91
 
9.0%
크 57
 
5.7%
린 55
 
5.5%
존 20
 
2.0%
이 19
 
1.9%
장 19
 
1.9%
연 17
 
1.7%
습 17
 
1.7%
Other values (147) 465
46.2%
ASCII
ValueCountFrequency (%)
116
51.3%
G 14
 
6.2%
O 8
 
3.5%
A 6
 
2.7%
S 6
 
2.7%
M 5
 
2.2%
F 4
 
1.8%
C 4
 
1.8%
T 4
 
1.8%
R 4
 
1.8%
Other values (32) 55
24.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2004-04-26 11:07:19
Maximum2024-03-06 16:28:12
2024-04-06T19:54:04.898429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:54:05.179939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
90 
U
55 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
I 90
61.6%
U 55
37.7%
D 1
 
0.7%

Length

2024-04-06T19:54:05.410663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:05.646969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 90
61.6%
u 55
37.7%
d 1
 
0.7%

데이터갱신일자
Date

Distinct57
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-04-06T19:54:05.832173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:54:06.136246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)86.9%
Missing9
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean186227.64
Minimum182859.06
Maximum189105.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T19:54:06.379011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182859.06
5-th percentile183212.16
Q1185311.91
median186336
Q3187239.18
95-th percentile188801.69
Maximum189105.94
Range6246.8834
Interquartile range (IQR)1927.2691

Descriptive statistics

Standard deviation1584.6554
Coefficient of variation (CV)0.0085092382
Kurtosis-0.38476835
Mean186227.64
Median Absolute Deviation (MAD)955.93285
Skewness-0.28262888
Sum25513187
Variance2511132.6
MonotonicityNot monotonic
2024-04-06T19:54:06.611333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185983.836659693 3
 
2.1%
189098.806779959 2
 
1.4%
185875.368001655 2
 
1.4%
187952.560027898 2
 
1.4%
187379.180537599 2
 
1.4%
188072.460191824 2
 
1.4%
186988.441947115 2
 
1.4%
186317.207037672 2
 
1.4%
183077.104950217 2
 
1.4%
187396.455607009 2
 
1.4%
Other values (109) 116
79.5%
(Missing) 9
 
6.2%
ValueCountFrequency (%)
182859.059692916 1
0.7%
182965.529 1
0.7%
182974.850127567 1
0.7%
183077.104950217 2
1.4%
183084.507195379 1
0.7%
183090.805509245 1
0.7%
183242.500497164 1
0.7%
183278.3703236 1
0.7%
183306.538535393 1
0.7%
183366.101249557 2
1.4%
ValueCountFrequency (%)
189105.943058741 1
0.7%
189098.806779959 2
1.4%
189029.460526202 1
0.7%
188998.678607376 1
0.7%
188923.593727873 1
0.7%
188843.428976776 1
0.7%
188791.250134373 1
0.7%
188692.033242329 1
0.7%
188680.48304204 1
0.7%
188551.821176091 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)86.9%
Missing9
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean450395.85
Minimum447363.38
Maximum452893.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T19:54:06.854483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447363.38
5-th percentile447473.57
Q1449777.66
median450518.14
Q3451010.77
95-th percentile452338.28
Maximum452893.62
Range5530.2384
Interquartile range (IQR)1233.111

Descriptive statistics

Standard deviation1215.3684
Coefficient of variation (CV)0.002698445
Kurtosis0.64039118
Mean450395.85
Median Absolute Deviation (MAD)658.78153
Skewness-0.53208247
Sum61704232
Variance1477120.5
MonotonicityNot monotonic
2024-04-06T19:54:07.083355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452051.602909992 3
 
2.1%
449777.659575153 2
 
1.4%
450739.921007684 2
 
1.4%
450562.020225978 2
 
1.4%
450694.10107396 2
 
1.4%
449872.094409073 2
 
1.4%
450457.806553468 2
 
1.4%
451462.350090067 2
 
1.4%
451010.770545366 2
 
1.4%
447473.568819772 2
 
1.4%
Other values (109) 116
79.5%
(Missing) 9
 
6.2%
ValueCountFrequency (%)
447363.383938393 1
0.7%
447381.645907113 1
0.7%
447382.668183393 1
0.7%
447385.60601995 1
0.7%
447400.129507343 1
0.7%
447406.124515211 1
0.7%
447473.568819772 2
1.4%
447833.312521762 1
0.7%
448132.967098924 1
0.7%
448315.544332387 1
0.7%
ValueCountFrequency (%)
452893.622300597 1
 
0.7%
452817.469477897 2
1.4%
452761.493153691 1
 
0.7%
452402.238297341 1
 
0.7%
452392.862590895 1
 
0.7%
452349.671029508 1
 
0.7%
452335.433564391 1
 
0.7%
452293.455519022 1
 
0.7%
452064.14140293 1
 
0.7%
452051.602909992 3
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
골프연습장업
127 
<NA>
19 

Length

Max length6
Median length6
Mean length5.739726
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골프연습장업 127
87.0%
<NA> 19
 
13.0%

Length

2024-04-06T19:54:07.403565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:07.710369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장업 127
87.0%
na 19
 
13.0%

공사립구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사립
127 
<NA>
19 

Length

Max length4
Median length2
Mean length2.260274
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 127
87.0%
<NA> 19
 
13.0%

Length

2024-04-06T19:54:07.963671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:08.214928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 127
87.0%
na 19
 
13.0%

보험가입여부코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
113 
0
19 
Y
14 

Length

Max length4
Median length4
Mean length3.3219178
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> 113
77.4%
0 19
 
13.0%
Y 14
 
9.6%

Length

2024-04-06T19:54:08.478839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:08.655453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
77.4%
0 19
 
13.0%
y 14
 
9.6%

지도자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
141 
0
 
3
1
 
2

Length

Max length4
Median length4
Mean length3.8972603
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
96.6%
0 3
 
2.1%
1 2
 
1.4%

Length

2024-04-06T19:54:08.862304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:09.143321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
96.6%
0 3
 
2.1%
1 2
 
1.4%

건축물동수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
96 
1
47 
7
 
1
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length2.9726027
Min length1

Unique

Unique3 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
65.8%
1 47
32.2%
7 1
 
0.7%
2 1
 
0.7%
0 1
 
0.7%

Length

2024-04-06T19:54:09.327630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:09.521388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
65.8%
1 47
32.2%
7 1
 
0.7%
2 1
 
0.7%
0 1
 
0.7%

건축물연면적
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)92.0%
Missing33
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean9058.3249
Minimum406.83
Maximum69465.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T19:54:09.746373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum406.83
5-th percentile840.308
Q11985.45
median4026.6
Q311311.52
95-th percentile34410.678
Maximum69465.86
Range69059.03
Interquartile range (IQR)9326.07

Descriptive statistics

Standard deviation12903.526
Coefficient of variation (CV)1.4244936
Kurtosis8.8308425
Mean9058.3249
Median Absolute Deviation (MAD)2527.88
Skewness2.7872699
Sum1023590.7
Variance1.6650099 × 108
MonotonicityNot monotonic
2024-04-06T19:54:09.997836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26793.4 2
 
1.4%
2268.85 2
 
1.4%
4973.03 2
 
1.4%
5225.41 2
 
1.4%
1267.06 2
 
1.4%
23296.07 2
 
1.4%
4467.83 2
 
1.4%
3462.24 2
 
1.4%
17205.48 2
 
1.4%
31780.13 1
 
0.7%
Other values (94) 94
64.4%
(Missing) 33
 
22.6%
ValueCountFrequency (%)
406.83 1
0.7%
470.06 1
0.7%
619.5 1
0.7%
775.41 1
0.7%
797.63 1
0.7%
839.18 1
0.7%
841.06 1
0.7%
864.32 1
0.7%
1075.07 1
0.7%
1101.52 1
0.7%
ValueCountFrequency (%)
69465.86 1
0.7%
69223.38 1
0.7%
53944.59 1
0.7%
44641.6 1
0.7%
43215.07 1
0.7%
38356.5 1
0.7%
31780.13 1
0.7%
26793.4 2
1.4%
23318.95 1
0.7%
23296.07 2
1.4%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
143 
0
 
3

Length

Max length4
Median length4
Mean length3.9383562
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> 143
97.9%
0 3
 
2.1%

Length

2024-04-06T19:54:10.289169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:54:10.519277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
97.9%
0 3
 
2.1%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing146
Missing (%)100.0%
Memory size1.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03150000CDFH330105199400000119941222<NA>1영업/정상13영업중<NA><NA><NA><NA>2608-2077<NA>157922서울특별시 강서구 화곡동 1032-25 지층서울특별시 강서구 강서로 201 (화곡동,지층)<NA>라이프골프장(실내)2020-09-22 15:44:16U2020-09-24 02:40:00.0<NA>185601.169657449084.583456골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
13150000CDFH330105199600000119960123<NA>3폐업3폐업20221227<NA><NA><NA>2658-7929<NA>157930서울특별시 강서구 등촌동 697-1 601~602호서울특별시 강서구 공항대로41길 65, 601~602호 (등촌동)7586그랜드스크린골프2022-12-27 09:54:20U2021-11-01 22:09:00.0<NA>186336.003797450960.614576<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFH330105199600000219960206<NA>3폐업3폐업20120118<NA><NA><NA>2665-7766<NA>157812서울특별시 강서구 공항동 53-9번지<NA><NA>로얄골프타운2012-01-18 16:13:19I2018-08-31 23:59:59.0<NA><NA><NA>골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
33150000CDFH330105199900000119990128<NA>3폐업3폐업20091102<NA><NA><NA>3665-3399<NA>157040서울특별시 강서구 염창동 산 24-10번지서울특별시 강서구 양천로67길 43 (염창동)<NA>삼성골프연습장2009-11-02 17:13:24I2018-08-31 23:59:59.0<NA>188413.555181450554.500976골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
43150000CDFH330105199900000219990220<NA>1영업/정상13영업중<NA><NA><NA><NA>3661-5000<NA><NA>서울특별시 강서구 가양동 1458번지 B동서울특별시 강서구 강서로 506, B동 (가양동)7529가양골프연습장2018-04-17 10:16:59I2018-08-31 23:59:59.0<NA>185983.83666452051.60291골프연습장업사립<NA>1<NA>1101.52<NA><NA><NA>
53150000CDFH330105199900000319990802<NA>1영업/정상13영업중<NA><NA><NA><NA>659-2417<NA>157838서울특별시 강서구 등촌동 628-6번지 영보개발빌딩 B1서울특별시 강서구 화곡로 408 (등촌동,영보개발빌딩 B1)<NA>SM골프클럽2014-05-02 11:51:50I2018-08-31 23:59:59.0<NA>187096.002995450820.499672골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
63150000CDFH330105199900000419991108<NA>1영업/정상13영업중<NA><NA><NA><NA>2663-4900<NA>157847서울특별시 강서구 방화동 282-1번지 은천빌딩 A동지층서울특별시 강서구 양천로 108 (방화동,은천빌딩 A동지층)<NA>에이스골프스쿨2005-02-01 13:55:50I2018-08-31 23:59:59.0<NA>183660.024449452335.433564골프연습장업사립0<NA><NA>2904.74<NA><NA><NA>
73150000CDFH330105200000000120000209<NA>3폐업3폐업20100331<NA><NA><NA>3664-2476<NA>157280서울특별시 강서구 내발산동 652-4번지서울특별시 강서구 강서로52길 34 (내발산동)<NA>인성골프연습장2010-03-31 17:01:10I2018-08-31 23:59:59.0<NA>185773.04461450593.756529골프연습장업사립0<NA><NA><NA><NA><NA><NA>
83150000CDFH330105200000000220001025<NA>3폐업3폐업20090825<NA><NA><NA>2697-9091<NA>157917서울특별시 강서구 화곡동 1005-4번지 1층8호,1층9호<NA><NA>영서골프연습장2009-08-25 10:14:38I2018-08-31 23:59:59.0<NA><NA><NA>골프연습장업사립0<NA><NA>1991.73<NA><NA><NA>
93150000CDFH330105200000000320001117<NA>1영업/정상13영업중<NA><NA><NA><NA>3663-3564<NA>157030서울특별시 강서구 등촌동 696-1번지서울특별시 강서구 공항대로41길 43 (등촌동)<NA>금오골프스쿨2015-07-28 14:04:00I2018-08-31 23:59:59.0<NA>186282.624499450861.093196골프연습장업사립<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
1363150000CDFH330105201900000120190131<NA>3폐업3폐업20201223<NA><NA><NA>6373-4321<NA><NA>서울특별시 강서구 마곡동 800-1 문영 퀸즈파크11차 지층 B107호서울특별시 강서구 공항대로 212, 문영 퀸즈파크11차 지층 B107호 (마곡동)7806심짱 골프 스튜디오2020-12-23 17:03:49U2020-12-25 02:40:00.0<NA><NA><NA>골프연습장업사립<NA><NA><NA>43215.07<NA><NA><NA>
1373150000CDFH330105201900000220190509<NA>1영업/정상13영업중<NA><NA><NA><NA>3664-4466<NA><NA>서울특별시 강서구 등촌동 73-1번지 금부빌딩 지하1층서울특별시 강서구 양천로 476, 금부빌딩 지1층 (등촌동)7575GOTO 가양점2019-05-09 18:22:00I2019-05-11 02:20:42.0<NA>186966.036177451047.287264골프연습장업사립<NA><NA><NA>38356.5<NA><NA><NA>
1383150000CDFH330105201900000320190517<NA>1영업/정상13영업중<NA><NA><NA><NA>2659-4568<NA><NA>서울특별시 강서구 마곡동 771-4번지 이너매스 마곡 1011~1016호서울특별시 강서구 마곡중앙6로 21, 이너매스 마곡 1011~1016호 (마곡동)7801리치맨골프 라운지2019-05-17 10:53:26I2019-05-19 02:20:50.0<NA><NA><NA>골프연습장업사립<NA><NA><NA>26793.4<NA><NA><NA>
1393150000CDFH330105201900000420190708<NA>1영업/정상13영업중<NA><NA><NA><NA>3663-6333<NA><NA>서울특별시 강서구 마곡동 757-5번지 안강프라이빗타워 B101~B103, B104일부호서울특별시 강서구 마곡중앙로 165, 안강프라이빗타워 B101~B103,B104일부호 (마곡동)7788보타닉 스크린 골프2019-08-04 11:05:49U2019-08-06 02:40:00.0<NA>184723.0451825.0골프연습장업사립<NA><NA><NA>23195.07<NA><NA><NA>
1403150000CDFH330105201900000520190709<NA>3폐업3폐업20210226<NA><NA><NA>02-3663-9898<NA><NA>서울특별시 강서구 염창동 262 염창투웨니퍼스트 지하1층서울특별시 강서구 공항대로81길 35, 염창투웨니퍼스트 지하1층 (염창동)7556톡스크린 염창점2021-03-04 12:50:33U2021-03-06 02:40:00.0<NA>188998.678607449624.638068골프연습장업사립<NA><NA><NA>5526.45<NA><NA><NA>
1413150000CDFH33010520190000062019-09-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2664-1300<NA><NA>서울특별시 강서구 마곡동 799-5번지 마곡사이언스타워2 B101~B103호서울특별시 강서구 마곡중앙로 56, 마곡사이언스타워2 B101~B103호 (마곡동)7631마곡 프렌즈 스크린골프2023-10-04 16:52:00D2022-10-31 00:06:00.0<NA>184657.496424450704.990865<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1423150000CDFH330105201900000720190925<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 757-2번지 마곡나루역프라이빗타워Ⅱ B104호서울특별시 강서구 마곡중앙로 171, 마곡나루역프라이빗타워Ⅱ B104호 (마곡동)7788마곡 골프 아카데미2019-10-25 16:48:47U2019-10-27 02:40:00.0<NA>184733.0451884.0골프연습장업사립<NA><NA><NA>23296.07<NA><NA><NA>
1433150000CDFH330105201900000820191025<NA>3폐업3폐업20210825<NA><NA><NA>02-6402-6541<NA><NA>서울특별시 강서구 마곡동 771-4 이너매스 마곡1 B110~115호서울특별시 강서구 마곡중앙6로 21, 이너매스 마곡1 B110~B115호 (마곡동)7801골프존 파크 이너매스 마곡2021-08-25 10:30:41U2021-08-27 02:40:00.0<NA><NA><NA>골프연습장업사립<NA><NA><NA>26793.4<NA><NA><NA>
1443150000CDFH330105201900000920191030<NA>3폐업3폐업20200705<NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 776 마곡파크뷰대방디엠시티오피스텔 201~203,212호서울특별시 강서구 마곡동로10길 23, 마곡파크뷰대방디엠시티오피스텔 201~203,212호 (마곡동)7791마곡 파크뷰 스크린골프2020-07-05 08:40:20U2020-07-07 02:40:00.0<NA><NA><NA>골프연습장업사립<NA><NA><NA>53944.59<NA><NA><NA>
1453150000CDFH330105202000000120200120<NA>3폐업3폐업20200424<NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 798-5번지 에이스타워2 지하1층 B06~B12호서울특별시 강서구 마곡중앙로 59-21, 에이스타워2 지하1층 B06~B12호 (마곡동)7807골든홀2020-04-24 09:33:34U2020-04-26 02:40:00.0<NA><NA><NA>골프연습장업사립<NA><NA><NA>18940.26<NA><NA><NA>