Overview

Dataset statistics

Number of variables34
Number of observations314
Missing cells2763
Missing cells (%)25.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.7 KiB
Average record size in memory289.4 B

Variable types

Categorical14
Text7
DateTime4
Unsupported7
Numeric2

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19849/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
보험가입여부코드 is highly imbalanced (64.6%)Imbalance
지도자수 is highly imbalanced (58.5%)Imbalance
건축물동수 is highly imbalanced (83.3%)Imbalance
건축물연면적 is highly imbalanced (85.9%)Imbalance
회원모집총인원 is highly imbalanced (79.6%)Imbalance
인허가취소일자 has 314 (100.0%) missing valuesMissing
폐업일자 has 169 (53.8%) missing valuesMissing
휴업시작일자 has 314 (100.0%) missing valuesMissing
휴업종료일자 has 314 (100.0%) missing valuesMissing
재개업일자 has 314 (100.0%) missing valuesMissing
전화번호 has 119 (37.9%) missing valuesMissing
소재지면적 has 314 (100.0%) missing valuesMissing
소재지우편번호 has 134 (42.7%) missing valuesMissing
도로명주소 has 5 (1.6%) missing valuesMissing
도로명우편번호 has 133 (42.4%) missing valuesMissing
세부업종명 has 314 (100.0%) missing valuesMissing
법인명 has 314 (100.0%) missing valuesMissing
관리번호 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
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 started2024-05-11 05:59:00.942447
Analysis finished2024-05-11 05:59:01.706399
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3220000
314 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 314
100.0%

Length

2024-05-11T14:59:01.781905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:01.994047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 314
100.0%

관리번호
Text

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T14:59:02.201512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6280
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

Unique314 ?
Unique (%)100.0%

Sample

1st rowCDFH3301021989000002
2nd rowCDFH3301021989000003
3rd rowCDFH3301021989000004
4th rowCDFH3301021990000003
5th rowCDFH3301021990000007
ValueCountFrequency (%)
cdfh3301021989000002 1
 
0.3%
cdfh3301022015000013 1
 
0.3%
cdfh3301022016000006 1
 
0.3%
cdfh3301022016000005 1
 
0.3%
cdfh3301022016000004 1
 
0.3%
cdfh3301022016000003 1
 
0.3%
cdfh3301022016000002 1
 
0.3%
cdfh3301022016000013 1
 
0.3%
cdfh3301022015000014 1
 
0.3%
cdfh3301022015000012 1
 
0.3%
Other values (304) 304
96.8%
2024-05-11T14:59:02.574187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2521
40.1%
3 704
 
11.2%
2 704
 
11.2%
1 630
 
10.0%
C 314
 
5.0%
D 314
 
5.0%
F 314
 
5.0%
H 314
 
5.0%
9 153
 
2.4%
4 74
 
1.2%
Other values (4) 238
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5024
80.0%
Uppercase Letter 1256
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2521
50.2%
3 704
 
14.0%
2 704
 
14.0%
1 630
 
12.5%
9 153
 
3.0%
4 74
 
1.5%
5 68
 
1.4%
6 59
 
1.2%
8 56
 
1.1%
7 55
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 314
25.0%
D 314
25.0%
F 314
25.0%
H 314
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5024
80.0%
Latin 1256
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2521
50.2%
3 704
 
14.0%
2 704
 
14.0%
1 630
 
12.5%
9 153
 
3.0%
4 74
 
1.5%
5 68
 
1.4%
6 59
 
1.2%
8 56
 
1.1%
7 55
 
1.1%
Latin
ValueCountFrequency (%)
C 314
25.0%
D 314
25.0%
F 314
25.0%
H 314
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2521
40.1%
3 704
 
11.2%
2 704
 
11.2%
1 630
 
10.0%
C 314
 
5.0%
D 314
 
5.0%
F 314
 
5.0%
H 314
 
5.0%
9 153
 
2.4%
4 74
 
1.2%
Other values (4) 238
 
3.8%

인허가일자
Date

Distinct302
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1989-12-28 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T14:59:02.767503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:03.005965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
165 
3
104 
4
44 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 165
52.5%
3 104
33.1%
4 44
 
14.0%
5 1
 
0.3%

Length

2024-05-11T14:59:03.197899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:03.341069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 165
52.5%
3 104
33.1%
4 44
 
14.0%
5 1
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
165 
폐업
104 
취소/말소/만료/정지/중지
44 
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length5.2770701
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 165
52.5%
폐업 104
33.1%
취소/말소/만료/정지/중지 44
 
14.0%
제외/삭제/전출 1
 
0.3%

Length

2024-05-11T14:59:03.508965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:03.649469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 165
52.5%
폐업 104
33.1%
취소/말소/만료/정지/중지 44
 
14.0%
제외/삭제/전출 1
 
0.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
13
165 
3
104 
35
44 
15
 
1

Length

Max length2
Median length2
Mean length1.6687898
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 165
52.5%
3 104
33.1%
35 44
 
14.0%
15 1
 
0.3%

Length

2024-05-11T14:59:03.863373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:04.031999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 165
52.5%
3 104
33.1%
35 44
 
14.0%
15 1
 
0.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업중
165 
폐업
104 
직권말소
44 
전출
 
1

Length

Max length4
Median length3
Mean length2.8057325
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 165
52.5%
폐업 104
33.1%
직권말소 44
 
14.0%
전출 1
 
0.3%

Length

2024-05-11T14:59:04.178188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:04.316864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 165
52.5%
폐업 104
33.1%
직권말소 44
 
14.0%
전출 1
 
0.3%

폐업일자
Date

MISSING 

Distinct96
Distinct (%)66.2%
Missing169
Missing (%)53.8%
Memory size2.6 KiB
Minimum1999-07-29 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T14:59:04.469725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:04.677284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct181
Distinct (%)92.8%
Missing119
Missing (%)37.9%
Memory size2.6 KiB
2024-05-11T14:59:05.121697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.9794872
Min length8

Characters and Unicode

Total characters1946
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)86.2%

Sample

1st row02-553-6140
2nd row02-555-8360
3rd row02-552-0841
4th row02-557-5159
5th row555-0292
ValueCountFrequency (%)
566-4881 3
 
1.5%
02-538-2777 2
 
1.0%
02-3411-2645 2
 
1.0%
540-8327 2
 
1.0%
577-1776 2
 
1.0%
558-8735 2
 
1.0%
2201-1721 2
 
1.0%
02-518-2073 2
 
1.0%
02-543-3774 2
 
1.0%
02-553-6395 2
 
1.0%
Other values (171) 174
89.2%
2024-05-11T14:59:05.677269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 298
15.3%
5 261
13.4%
2 260
13.4%
0 215
11.0%
7 163
8.4%
1 157
8.1%
4 150
7.7%
6 134
6.9%
8 120
6.2%
3 115
 
5.9%
Other values (4) 73
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1639
84.2%
Dash Punctuation 298
 
15.3%
Other Punctuation 6
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 261
15.9%
2 260
15.9%
0 215
13.1%
7 163
9.9%
1 157
9.6%
4 150
9.2%
6 134
8.2%
8 120
7.3%
3 115
7.0%
9 64
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 298
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 298
15.3%
5 261
13.4%
2 260
13.4%
0 215
11.0%
7 163
8.4%
1 157
8.1%
4 150
7.7%
6 134
6.9%
8 120
6.2%
3 115
 
5.9%
Other values (4) 73
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 298
15.3%
5 261
13.4%
2 260
13.4%
0 215
11.0%
7 163
8.4%
1 157
8.1%
4 150
7.7%
6 134
6.9%
8 120
6.2%
3 115
 
5.9%
Other values (4) 73
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Text

MISSING 

Distinct100
Distinct (%)55.6%
Missing134
Missing (%)42.7%
Memory size2.6 KiB
2024-05-11T14:59:06.135671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0277778
Min length6

Characters and Unicode

Total characters1085
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

Unique61 ?
Unique (%)33.9%

Sample

1st row135927
2nd row135969
3rd row135270
4th row135501
5th row135838
ValueCountFrequency (%)
135998 8
 
4.4%
135890 6
 
3.3%
135930 5
 
2.8%
135994 5
 
2.8%
135864 5
 
2.8%
135928 4
 
2.2%
135951 4
 
2.2%
135802 4
 
2.2%
135500 4
 
2.2%
135833 4
 
2.2%
Other values (90) 131
72.8%
2024-05-11T14:59:06.785961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 234
21.6%
1 224
20.6%
3 213
19.6%
9 115
10.6%
8 114
10.5%
0 60
 
5.5%
4 37
 
3.4%
2 35
 
3.2%
6 28
 
2.6%
7 20
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1080
99.5%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 234
21.7%
1 224
20.7%
3 213
19.7%
9 115
10.6%
8 114
10.6%
0 60
 
5.6%
4 37
 
3.4%
2 35
 
3.2%
6 28
 
2.6%
7 20
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 234
21.6%
1 224
20.6%
3 213
19.6%
9 115
10.6%
8 114
10.5%
0 60
 
5.5%
4 37
 
3.4%
2 35
 
3.2%
6 28
 
2.6%
7 20
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 234
21.6%
1 224
20.6%
3 213
19.6%
9 115
10.6%
8 114
10.5%
0 60
 
5.5%
4 37
 
3.4%
2 35
 
3.2%
6 28
 
2.6%
7 20
 
1.8%

지번주소
Text

Distinct306
Distinct (%)97.8%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-05-11T14:59:07.233996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length25.878594
Min length17

Characters and Unicode

Total characters8100
Distinct characters178
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)95.5%

Sample

1st row서울특별시 강남구 역삼동 756-18번지
2nd row서울특별시 강남구 대치동 316번지 은마상가 318호
3rd row서울특별시 강남구 도곡동 528번지
4th row서울특별시 강남구 대치동 992번지 현대상가 301호
5th row서울특별시 강남구 대치동 626번지 청실상가 4층
ValueCountFrequency (%)
서울특별시 313
20.1%
강남구 313
20.1%
역삼동 56
 
3.6%
대치동 52
 
3.3%
개포동 42
 
2.7%
지하1층 32
 
2.0%
논현동 27
 
1.7%
삼성동 27
 
1.7%
신사동 26
 
1.7%
청담동 23
 
1.5%
Other values (458) 650
41.6%
2024-05-11T14:59:07.845772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1486
 
18.3%
서 321
 
4.0%
1 321
 
4.0%
동 321
 
4.0%
남 319
 
3.9%
강 318
 
3.9%
구 318
 
3.9%
시 316
 
3.9%
울 313
 
3.9%
별 313
 
3.9%
Other values (168) 3754
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4777
59.0%
Decimal Number 1541
 
19.0%
Space Separator 1486
 
18.3%
Dash Punctuation 245
 
3.0%
Uppercase Letter 22
 
0.3%
Other Punctuation 10
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 321
 
6.7%
동 321
 
6.7%
남 319
 
6.7%
강 318
 
6.7%
구 318
 
6.7%
시 316
 
6.6%
울 313
 
6.6%
별 313
 
6.6%
특 313
 
6.6%
지 293
 
6.1%
Other values (142) 1632
34.2%
Decimal Number
ValueCountFrequency (%)
1 321
20.8%
2 213
13.8%
3 145
9.4%
5 144
9.3%
6 141
9.1%
0 136
8.8%
4 129
8.4%
7 119
 
7.7%
8 98
 
6.4%
9 95
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 13
59.1%
E 2
 
9.1%
A 1
 
4.5%
F 1
 
4.5%
N 1
 
4.5%
G 1
 
4.5%
Z 1
 
4.5%
R 1
 
4.5%
O 1
 
4.5%
Space Separator
ValueCountFrequency (%)
1486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 245
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4777
59.0%
Common 3300
40.7%
Latin 23
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 321
 
6.7%
동 321
 
6.7%
남 319
 
6.7%
강 318
 
6.7%
구 318
 
6.7%
시 316
 
6.6%
울 313
 
6.6%
별 313
 
6.6%
특 313
 
6.6%
지 293
 
6.1%
Other values (142) 1632
34.2%
Common
ValueCountFrequency (%)
1486
45.0%
1 321
 
9.7%
- 245
 
7.4%
2 213
 
6.5%
3 145
 
4.4%
5 144
 
4.4%
6 141
 
4.3%
0 136
 
4.1%
4 129
 
3.9%
7 119
 
3.6%
Other values (6) 221
 
6.7%
Latin
ValueCountFrequency (%)
B 13
56.5%
E 2
 
8.7%
A 1
 
4.3%
b 1
 
4.3%
F 1
 
4.3%
N 1
 
4.3%
G 1
 
4.3%
Z 1
 
4.3%
R 1
 
4.3%
O 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4777
59.0%
ASCII 3323
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1486
44.7%
1 321
 
9.7%
- 245
 
7.4%
2 213
 
6.4%
3 145
 
4.4%
5 144
 
4.3%
6 141
 
4.2%
0 136
 
4.1%
4 129
 
3.9%
7 119
 
3.6%
Other values (16) 244
 
7.3%
Hangul
ValueCountFrequency (%)
서 321
 
6.7%
동 321
 
6.7%
남 319
 
6.7%
강 318
 
6.7%
구 318
 
6.7%
시 316
 
6.6%
울 313
 
6.6%
별 313
 
6.6%
특 313
 
6.6%
지 293
 
6.1%
Other values (142) 1632
34.2%

도로명주소
Text

MISSING 

Distinct303
Distinct (%)98.1%
Missing5
Missing (%)1.6%
Memory size2.6 KiB
2024-05-11T14:59:08.202166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length31.94822
Min length22

Characters and Unicode

Total characters9872
Distinct characters193
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique297 ?
Unique (%)96.1%

Sample

1st row서울특별시 강남구 선릉로 313 (역삼동)
2nd row서울특별시 강남구 삼성로 212 (대치동,은마상가 318호)
3rd row서울특별시 강남구 선릉로 221 (도곡동)
4th row서울특별시 강남구 영동대로57길 28 (대치동,현대상가 301호)
5th row서울특별시 강남구 남부순환로 2917 (대치동,청실상가 4층)
ValueCountFrequency (%)
서울특별시 309
 
16.5%
강남구 309
 
16.5%
지하1층 42
 
2.2%
역삼동 40
 
2.1%
대치동 31
 
1.7%
개포동 30
 
1.6%
논현동 22
 
1.2%
선릉로 22
 
1.2%
2층 21
 
1.1%
삼성동 19
 
1.0%
Other values (514) 1027
54.9%
2024-05-11T14:59:09.039064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1598
 
16.2%
1 402
 
4.1%
남 348
 
3.5%
동 335
 
3.4%
구 332
 
3.4%
강 323
 
3.3%
서 319
 
3.2%
) 313
 
3.2%
( 313
 
3.2%
시 312
 
3.2%
Other values (183) 5277
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5741
58.2%
Space Separator 1598
 
16.2%
Decimal Number 1561
 
15.8%
Close Punctuation 313
 
3.2%
Open Punctuation 313
 
3.2%
Other Punctuation 283
 
2.9%
Uppercase Letter 34
 
0.3%
Dash Punctuation 23
 
0.2%
Math Symbol 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 348
 
6.1%
동 335
 
5.8%
구 332
 
5.8%
강 323
 
5.6%
서 319
 
5.6%
시 312
 
5.4%
울 311
 
5.4%
로 311
 
5.4%
특 309
 
5.4%
별 309
 
5.4%
Other values (160) 2532
44.1%
Decimal Number
ValueCountFrequency (%)
1 402
25.8%
2 243
15.6%
3 181
11.6%
5 149
 
9.5%
0 139
 
8.9%
4 124
 
7.9%
6 98
 
6.3%
9 82
 
5.3%
8 76
 
4.9%
7 67
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 29
85.3%
F 1
 
2.9%
A 1
 
2.9%
E 1
 
2.9%
N 1
 
2.9%
G 1
 
2.9%
Space Separator
ValueCountFrequency (%)
1598
100.0%
Close Punctuation
ValueCountFrequency (%)
) 313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 313
100.0%
Other Punctuation
ValueCountFrequency (%)
, 283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5741
58.2%
Common 4096
41.5%
Latin 35
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 348
 
6.1%
동 335
 
5.8%
구 332
 
5.8%
강 323
 
5.6%
서 319
 
5.6%
시 312
 
5.4%
울 311
 
5.4%
로 311
 
5.4%
특 309
 
5.4%
별 309
 
5.4%
Other values (160) 2532
44.1%
Common
ValueCountFrequency (%)
1598
39.0%
1 402
 
9.8%
) 313
 
7.6%
( 313
 
7.6%
, 283
 
6.9%
2 243
 
5.9%
3 181
 
4.4%
5 149
 
3.6%
0 139
 
3.4%
4 124
 
3.0%
Other values (6) 351
 
8.6%
Latin
ValueCountFrequency (%)
B 29
82.9%
F 1
 
2.9%
b 1
 
2.9%
A 1
 
2.9%
E 1
 
2.9%
N 1
 
2.9%
G 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5741
58.2%
ASCII 4131
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1598
38.7%
1 402
 
9.7%
) 313
 
7.6%
( 313
 
7.6%
, 283
 
6.9%
2 243
 
5.9%
3 181
 
4.4%
5 149
 
3.6%
0 139
 
3.4%
4 124
 
3.0%
Other values (13) 386
 
9.3%
Hangul
ValueCountFrequency (%)
남 348
 
6.1%
동 335
 
5.8%
구 332
 
5.8%
강 323
 
5.6%
서 319
 
5.6%
시 312
 
5.4%
울 311
 
5.4%
로 311
 
5.4%
특 309
 
5.4%
별 309
 
5.4%
Other values (160) 2532
44.1%

도로명우편번호
Text

MISSING 

Distinct122
Distinct (%)67.4%
Missing133
Missing (%)42.4%
Memory size2.6 KiB
2024-05-11T14:59:09.482891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.038674
Min length5

Characters and Unicode

Total characters912
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

Unique83 ?
Unique (%)45.9%

Sample

1st row135-945
2nd row06363
3rd row06077
4th row06341
5th row06341
ValueCountFrequency (%)
06325 9
 
5.0%
06280 5
 
2.8%
06365 4
 
2.2%
06094 4
 
2.2%
06246 3
 
1.7%
06216 3
 
1.7%
06075 3
 
1.7%
06306 3
 
1.7%
06370 3
 
1.7%
06218 3
 
1.7%
Other values (112) 141
77.9%
2024-05-11T14:59:10.164901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 262
28.7%
6 209
22.9%
2 88
 
9.6%
3 84
 
9.2%
1 70
 
7.7%
5 47
 
5.2%
9 44
 
4.8%
4 37
 
4.1%
8 36
 
3.9%
7 34
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 911
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 262
28.8%
6 209
22.9%
2 88
 
9.7%
3 84
 
9.2%
1 70
 
7.7%
5 47
 
5.2%
9 44
 
4.8%
4 37
 
4.1%
8 36
 
4.0%
7 34
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 262
28.7%
6 209
22.9%
2 88
 
9.6%
3 84
 
9.2%
1 70
 
7.7%
5 47
 
5.2%
9 44
 
4.8%
4 37
 
4.1%
8 36
 
3.9%
7 34
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 262
28.7%
6 209
22.9%
2 88
 
9.6%
3 84
 
9.2%
1 70
 
7.7%
5 47
 
5.2%
9 44
 
4.8%
4 37
 
4.1%
8 36
 
3.9%
7 34
 
3.7%

사업장명
Text

Distinct309
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T14:59:10.515779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length11.050955
Min length3

Characters and Unicode

Total characters3470
Distinct characters343
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)96.8%

Sample

1st row롯데태권스쿨(8)
2nd row은마체육관(11)[태권도]
3rd row태권도 백마체육관(20)
4th row태권도 참피온체육관(39)
5th row태권도 대도체육관(56)
ValueCountFrequency (%)
태권도 17
 
3.4%
태권도장 10
 
2.0%
복싱 9
 
1.8%
boxing 6
 
1.2%
경희대 6
 
1.2%
퍼스트 5
 
1.0%
효 5
 
1.0%
vta 4
 
0.8%
한국체대 3
 
0.6%
복싱클럽 3
 
0.6%
Other values (393) 425
86.2%
2024-05-11T14:59:11.053332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 192
 
5.5%
) 192
 
5.5%
도 182
 
5.2%
179
 
5.2%
권 129
 
3.7%
태 128
 
3.7%
2 127
 
3.7%
1 101
 
2.9%
관 85
 
2.4%
싱 64
 
1.8%
Other values (333) 2091
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2111
60.8%
Decimal Number 528
 
15.2%
Open Punctuation 214
 
6.2%
Close Punctuation 214
 
6.2%
Space Separator 179
 
5.2%
Uppercase Letter 178
 
5.1%
Lowercase Letter 32
 
0.9%
Other Punctuation 13
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 182
 
8.6%
권 129
 
6.1%
태 128
 
6.1%
관 85
 
4.0%
싱 64
 
3.0%
복 63
 
3.0%
대 54
 
2.6%
체 47
 
2.2%
육 44
 
2.1%
장 37
 
1.8%
Other values (276) 1278
60.5%
Uppercase Letter
ValueCountFrequency (%)
T 23
12.9%
A 18
 
10.1%
M 15
 
8.4%
B 13
 
7.3%
G 12
 
6.7%
S 11
 
6.2%
O 10
 
5.6%
V 10
 
5.6%
I 9
 
5.1%
L 9
 
5.1%
Other values (13) 48
27.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
12.5%
o 4
12.5%
h 4
12.5%
t 3
9.4%
m 3
9.4%
e 3
9.4%
i 2
 
6.2%
a 2
 
6.2%
s 1
 
3.1%
r 1
 
3.1%
Other values (5) 5
15.6%
Decimal Number
ValueCountFrequency (%)
2 127
24.1%
1 101
19.1%
3 51
9.7%
5 37
 
7.0%
7 37
 
7.0%
9 36
 
6.8%
6 36
 
6.8%
0 36
 
6.8%
4 34
 
6.4%
8 33
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 8
61.5%
. 4
30.8%
? 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 192
89.7%
[ 22
 
10.3%
Close Punctuation
ValueCountFrequency (%)
) 192
89.7%
] 22
 
10.3%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2110
60.8%
Common 1149
33.1%
Latin 210
 
6.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 182
 
8.6%
권 129
 
6.1%
태 128
 
6.1%
관 85
 
4.0%
싱 64
 
3.0%
복 63
 
3.0%
대 54
 
2.6%
체 47
 
2.2%
육 44
 
2.1%
장 37
 
1.8%
Other values (275) 1277
60.5%
Latin
ValueCountFrequency (%)
T 23
 
11.0%
A 18
 
8.6%
M 15
 
7.1%
B 13
 
6.2%
G 12
 
5.7%
S 11
 
5.2%
O 10
 
4.8%
V 10
 
4.8%
I 9
 
4.3%
L 9
 
4.3%
Other values (28) 80
38.1%
Common
ValueCountFrequency (%)
( 192
16.7%
) 192
16.7%
179
15.6%
2 127
11.1%
1 101
8.8%
3 51
 
4.4%
5 37
 
3.2%
7 37
 
3.2%
9 36
 
3.1%
6 36
 
3.1%
Other values (9) 161
14.0%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2110
60.8%
ASCII 1359
39.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 192
14.1%
) 192
14.1%
179
13.2%
2 127
 
9.3%
1 101
 
7.4%
3 51
 
3.8%
5 37
 
2.7%
7 37
 
2.7%
9 36
 
2.6%
6 36
 
2.6%
Other values (47) 371
27.3%
Hangul
ValueCountFrequency (%)
도 182
 
8.6%
권 129
 
6.1%
태 128
 
6.1%
관 85
 
4.0%
싱 64
 
3.0%
복 63
 
3.0%
대 54
 
2.6%
체 47
 
2.2%
육 44
 
2.1%
장 37
 
1.8%
Other values (275) 1277
60.5%
CJK
ValueCountFrequency (%)
孝 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2005-01-28 10:54:17
Maximum2024-05-07 09:10:48
2024-05-11T14:59:11.225152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:11.383314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
157 
U
157 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 157
50.0%
U 157
50.0%

Length

2024-05-11T14:59:11.564832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:11.703734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 157
50.0%
u 157
50.0%

데이터갱신일자
Date

Distinct122
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:59:11.881124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:12.083982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
205 
권투
45 
태권도
35 
레슬링
 
9
유도
 
7
Other values (3)
 
13

Length

Max length4
Median length4
Mean length3.4681529
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 205
65.3%
권투 45
 
14.3%
태권도 35
 
11.1%
레슬링 9
 
2.9%
유도 7
 
2.2%
합기도 7
 
2.2%
검도 5
 
1.6%
우슈 1
 
0.3%

Length

2024-05-11T14:59:12.302847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:12.486314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 205
65.3%
권투 45
 
14.3%
태권도 35
 
11.1%
레슬링 9
 
2.9%
유도 7
 
2.2%
합기도 7
 
2.2%
검도 5
 
1.6%
우슈 1
 
0.3%

좌표정보(X)
Real number (ℝ)

Distinct256
Distinct (%)82.1%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean204544.34
Minimum201701.42
Maximum210005.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:59:12.684543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201701.42
5-th percentile202163.76
Q1203359.49
median204349.27
Q3205248.56
95-th percentile208214.71
Maximum210005.06
Range8303.6449
Interquartile range (IQR)1889.0656

Descriptive statistics

Standard deviation1719.1458
Coefficient of variation (CV)0.0084047587
Kurtosis0.87775498
Mean204544.34
Median Absolute Deviation (MAD)962.38458
Skewness0.95244131
Sum63817834
Variance2955462.4
MonotonicityNot monotonic
2024-05-11T14:59:12.910826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204992.451561361 5
 
1.6%
209083.642145052 4
 
1.3%
204170.278135097 3
 
1.0%
203150.623203562 3
 
1.0%
206239.623997375 3
 
1.0%
206581.787067095 3
 
1.0%
204250.401624983 3
 
1.0%
207621.784385904 3
 
1.0%
204586.370038998 2
 
0.6%
204488.953955328 2
 
0.6%
Other values (246) 281
89.5%
ValueCountFrequency (%)
201701.418320002 1
0.3%
201769.620605394 1
0.3%
201813.54322915 2
0.6%
201846.826351864 1
0.3%
201891.96483792 1
0.3%
201962.838798283 1
0.3%
201981.375904108 1
0.3%
202003.419594411 1
0.3%
202008.512682196 1
0.3%
202036.037230419 2
0.6%
ValueCountFrequency (%)
210005.063170617 1
 
0.3%
209802.490272781 1
 
0.3%
209487.782187959 1
 
0.3%
209369.294251838 1
 
0.3%
209131.888045738 2
0.6%
209098.950736866 1
 
0.3%
209090.360365095 1
 
0.3%
209083.642145052 4
1.3%
208882.245870174 1
 
0.3%
208467.328894741 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct256
Distinct (%)82.1%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean444305.2
Minimum440112.99
Maximum447782.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T14:59:13.113904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440112.99
5-th percentile441698.21
Q1443183.58
median444036.66
Q3445818.35
95-th percentile447015.97
Maximum447782.51
Range7669.5257
Interquartile range (IQR)2634.7766

Descriptive statistics

Standard deviation1700.781
Coefficient of variation (CV)0.0038279566
Kurtosis-0.620328
Mean444305.2
Median Absolute Deviation (MAD)1275.6536
Skewness0.011210566
Sum1.3862322 × 108
Variance2892656.2
MonotonicityNot monotonic
2024-05-11T14:59:13.332183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443183.576115254 5
 
1.6%
440112.987487173 4
 
1.3%
444036.656041328 3
 
1.0%
443676.30612293 3
 
1.0%
442598.51298973 3
 
1.0%
443555.991242524 3
 
1.0%
444525.188677178 3
 
1.0%
443415.30271945 3
 
1.0%
443682.974096 2
 
0.6%
444041.977671828 2
 
0.6%
Other values (246) 281
89.5%
ValueCountFrequency (%)
440112.987487173 4
1.3%
440242.330755912 1
 
0.3%
440405.743740801 1
 
0.3%
441086.596187726 1
 
0.3%
441091.524617123 1
 
0.3%
441108.499651602 1
 
0.3%
441347.237129733 1
 
0.3%
441357.450128615 1
 
0.3%
441402.382423558 1
 
0.3%
441454.297822208 1
 
0.3%
ValueCountFrequency (%)
447782.51322707 1
0.3%
447748.161018109 2
0.6%
447680.961855446 1
0.3%
447663.86257666 1
0.3%
447371.866295615 1
0.3%
447309.191019303 1
0.3%
447301.71571803 1
0.3%
447197.2622116 1
0.3%
447178.90766673 1
0.3%
447079.28 1
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
체육도장업
256 
<NA>
58 

Length

Max length5
Median length5
Mean length4.8152866
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육도장업 256
81.5%
<NA> 58
 
18.5%

Length

2024-05-11T14:59:13.524664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:13.669865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육도장업 256
81.5%
na 58
 
18.5%

공사립구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
사립
256 
<NA>
58 

Length

Max length4
Median length2
Mean length2.3694268
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 256
81.5%
<NA> 58
 
18.5%

Length

2024-05-11T14:59:13.838696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:14.020861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 256
81.5%
na 58
 
18.5%

보험가입여부코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
293 
0
 
21

Length

Max length4
Median length4
Mean length3.7993631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 293
93.3%
0 21
 
6.7%

Length

2024-05-11T14:59:14.231171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:14.390665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
93.3%
0 21
 
6.7%

지도자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
253 
1
54 
0
 
5
2
 
2

Length

Max length4
Median length4
Mean length3.4171975
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> 253
80.6%
1 54
 
17.2%
0 5
 
1.6%
2 2
 
0.6%

Length

2024-05-11T14:59:14.502933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:14.626005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
80.6%
1 54
 
17.2%
0 5
 
1.6%
2 2
 
0.6%

건축물동수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
301 
0
 
12
1
 
1

Length

Max length4
Median length4
Mean length3.8757962
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 301
95.9%
0 12
 
3.8%
1 1
 
0.3%

Length

2024-05-11T14:59:14.742364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:14.844373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 301
95.9%
0 12
 
3.8%
1 1
 
0.3%

건축물연면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
299 
0.0
 
12
155.37
 
1
173.52
 
1
4986.9
 
1

Length

Max length6
Median length4
Mean length3.9808917
Min length3

Unique

Unique3 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 299
95.2%
0.0 12
 
3.8%
155.37 1
 
0.3%
173.52 1
 
0.3%
4986.9 1
 
0.3%

Length

2024-05-11T14:59:14.968831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:15.114132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
95.2%
0.0 12
 
3.8%
155.37 1
 
0.3%
173.52 1
 
0.3%
4986.9 1
 
0.3%

회원모집총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
304 
0
 
10

Length

Max length4
Median length4
Mean length3.9044586
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> 304
96.8%
0 10
 
3.2%

Length

2024-05-11T14:59:15.250636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:15.353688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
96.8%
0 10
 
3.2%

세부업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

법인명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
03220000CDFH330102198900000219891228<NA>3폐업3폐업20161010<NA><NA><NA>02-553-6140<NA>135927서울특별시 강남구 역삼동 756-18번지서울특별시 강남구 선릉로 313 (역삼동)<NA>롯데태권스쿨(8)2016-10-10 14:42:15I2018-08-31 23:59:59.0<NA>204521.216089443940.569385체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
13220000CDFH330102198900000319891229<NA>1영업/정상13영업중<NA><NA><NA><NA>02-555-8360<NA>135969서울특별시 강남구 대치동 316번지 은마상가 318호서울특별시 강남구 삼성로 212 (대치동,은마상가 318호)<NA>은마체육관(11)[태권도]2019-03-04 09:19:14U2019-03-06 02:40:00.0<NA>205707.0894443914.194133체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
23220000CDFH330102198900000419891229<NA>3폐업3폐업20091230<NA><NA><NA>02-552-0841<NA>135270서울특별시 강남구 도곡동 528번지서울특별시 강남구 선릉로 221 (도곡동)<NA>태권도 백마체육관(20)2016-05-30 09:09:13I2018-08-31 23:59:59.0<NA>204530.199686443638.650745체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
33220000CDFH330102199000000319900108<NA>3폐업3폐업20150120<NA><NA><NA>02-557-5159<NA>135501서울특별시 강남구 대치동 992번지 현대상가 301호서울특별시 강남구 영동대로57길 28 (대치동,현대상가 301호)<NA>태권도 참피온체육관(39)2016-05-30 09:07:54I2018-08-31 23:59:59.0<NA>205704.24979444189.252109체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
43220000CDFH330102199000000719900714<NA>3폐업3폐업20031113<NA><NA><NA>555-0292<NA>135838서울특별시 강남구 대치동 626번지 청실상가 4층서울특별시 강남구 남부순환로 2917 (대치동,청실상가 4층)<NA>태권도 대도체육관(56)2005-01-28 11:27:20I2018-08-31 23:59:59.0<NA>205154.638097443439.981645체육도장업사립0<NA><NA><NA><NA><NA><NA>
53220000CDFH330102199100000219910911<NA>3폐업3폐업20150205<NA><NA><NA>569-9027<NA>135930서울특별시 강남구 역삼동 798-25번지서울특별시 강남구 논현로63길 15 (역삼동)<NA>강남유도체육관(66)2015-02-05 11:45:24I2018-08-31 23:59:59.0<NA>203418.642303443401.64812체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
63220000CDFH330102199100000319910920<NA>3폐업3폐업20180214<NA><NA><NA>02-574-7989<NA>135810서울특별시 강남구 개포동 660-9번지 주공 1단지 개포유치원 3층서울특별시 강남구 개포로 310-21 (개포동,주공 1단지 개포유치원 3층)<NA>비젼태권도아카데미(50)2018-02-14 20:11:42I2018-08-31 23:59:59.0<NA>205055.452024442165.719452체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
73220000CDFH330102199200000119920317<NA>3폐업3폐업20071231<NA><NA><NA>546-2889<NA>135896서울특별시 강남구 신사동 638-13번지서울특별시 강남구 언주로 874 (신사동)<NA>해동검도(69)2008-10-27 10:17:44I2018-08-31 23:59:59.0<NA>202962.441805447371.866296체육도장업사립0<NA><NA><NA><NA><NA><NA>
83220000CDFH330102199200000419921121<NA>1영업/정상13영업중<NA><NA><NA><NA>02-518-9400<NA>135895서울특별시 강남구 신사동 624-19번지서울특별시 강남구 언주로165길 7-10 (신사동)<NA>성무관(83)[검도]2015-03-18 21:11:02I2018-08-31 23:59:59.0<NA>202781.828825446998.161197체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
93220000CDFH330102199300000219930222<NA>1영업/정상13영업중<NA><NA><NA><NA>02-544-6161<NA>135811서울특별시 강남구 논현동 1-5번지 축전빌딩 지하서울특별시 강남구 강남대로150길 11 (논현동,축전빌딩 지하)<NA>영무검도관(62)2019-05-29 10:33:23U2019-05-31 02:40:00.0<NA>201769.620605445980.64856체육도장업사립<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명공사립구분명보험가입여부코드지도자수건축물동수건축물연면적회원모집총인원세부업종명법인명
3043220000CDFH33010220230000102023-07-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 611-3서울특별시 강남구 봉은사로22길 18, B2층 (역삼동)06127주식회사 위너즈2023-09-07 10:09:42U2022-12-09 00:09:00.0레슬링202728.489088444806.510043<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3053220000CDFH33010220230000112023-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 556-28서울특별시 강남구 도산대로25길 39, 2, B1층 (신사동)06033하바스MMA 압구정2023-08-08 17:48:29I2022-12-07 23:00:00.0레슬링202230.799249446648.03294<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3063220000CDFH33010220230000122023-08-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 39-7서울특별시 강남구 선릉로138길 18, 2층 (청담동)06065영재오 운동지능센터2023-08-24 15:09:53I2022-12-07 22:06:00.0검도203647.576366446342.113326<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3073220000CDFH33010220230000132023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-565-1282<NA><NA>서울특별시 강남구 대치동 622 대치 클래시아서울특별시 강남구 남부순환로 2927, 대치 클래시아 B109호 (대치동)06280G.T. 복싱 클래시아점2023-12-28 16:35:21U2022-11-01 21:00:00.0권투205255.088433443524.599882<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3083220000CDFH33010220230000142023-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 168-10서울특별시 강남구 선릉로 46, B1층 (개포동)06325한국파워점핑줄넘기클럽 개포점2023-11-27 16:47:05I2022-10-31 22:09:00.0태권도205226.69543442372.815642<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3093220000CDFH33010220230000152023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 116 백우빌딩서울특별시 강남구 봉은사로 466, 백우빌딩 B1층 (삼성동)06154알로하 복싱짐 2호점2023-12-05 15:05:45I2022-11-02 00:07:00.0권투204415.943977445526.694467<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3103220000CDFH33010220240000012024-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 708-34서울특별시 강남구 선릉로85길 8, B101호 (역삼동)06212좋은복싱2024-01-08 09:12:09I2023-11-30 23:00:00.0권투204250.401625444525.188677<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3113220000CDFH33010220240000022024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 93-2서울특별시 강남구 도산대로61길 14, 2층 (청담동)06016빅펀치 복싱클럽2024-02-15 21:19:05I2023-12-01 23:07:00.0권투203740.050592446946.149947<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3123220000CDFH33010220240000032024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 500 우성아파트상가서울특별시 강남구 남부순환로 2912, 우성아파트상가 101,101-6호 (대치동)06289도곡수련관 VTA2024-04-26 14:19:32I2023-12-03 22:08:00.0태권도204992.451561443183.576115<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3133220000CDFH33010220240000042024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 600-6서울특별시 강남구 도산대로35길 39, B1층 (신사동)06025프렙 레슬링 아카데미2024-05-02 09:12:55I2023-12-05 00:04:00.0레슬링202612.708411446806.733541<NA><NA><NA><NA><NA><NA><NA><NA><NA>