Overview

Dataset statistics

Number of variables25
Number of observations55
Missing cells272
Missing cells (%)19.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory214.4 B

Variable types

Categorical10
Text6
DateTime3
Unsupported3
Numeric3

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)
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19774/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (86.9%)Imbalance
휴업시작일자 is highly imbalanced (86.9%)Imbalance
휴업종료일자 is highly imbalanced (86.9%)Imbalance
폐업일자 has 30 (54.5%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 20 (36.4%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 18 (32.7%) missing valuesMissing
지번주소 has 1 (1.8%) missing valuesMissing
도로명주소 has 1 (1.8%) missing valuesMissing
도로명우편번호 has 33 (60.0%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.6%) missing valuesMissing
좌표정보(Y) has 2 (3.6%) missing valuesMissing
관리번호 has unique valuesUnique
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

Reproduction

Analysis started2024-05-11 03:18:24.344795
Analysis finished2024-05-11 03:18:25.147521
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3220000
55 

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 55
100.0%

Length

2024-05-11T03:18:25.345966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:25.647849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T03:18:26.068442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowCDFH3301261989000001
2nd rowCDFH3301261989000003
3rd rowCDFH3301261990000001
4th rowCDFH3301261990000002
5th rowCDFH3301261991000001
ValueCountFrequency (%)
cdfh3301261989000001 1
 
1.8%
cdfh3301262004000003 1
 
1.8%
cdfh3301262005000002 1
 
1.8%
cdfh3301262006000001 1
 
1.8%
cdfh3301262006000002 1
 
1.8%
cdfh3301262006000003 1
 
1.8%
cdfh3301262007000001 1
 
1.8%
cdfh3301262007000002 1
 
1.8%
cdfh3301262008000001 1
 
1.8%
cdfh3301262009000001 1
 
1.8%
Other values (45) 45
81.8%
2024-05-11T03:18:26.953393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 391
35.5%
3 125
 
11.4%
1 119
 
10.8%
2 115
 
10.5%
6 62
 
5.6%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
H 55
 
5.0%
9 46
 
4.2%
Other values (4) 22
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 391
44.4%
3 125
 
14.2%
1 119
 
13.5%
2 115
 
13.1%
6 62
 
7.0%
9 46
 
5.2%
4 6
 
0.7%
5 6
 
0.7%
8 5
 
0.6%
7 5
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
H 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 391
44.4%
3 125
 
14.2%
1 119
 
13.5%
2 115
 
13.1%
6 62
 
7.0%
9 46
 
5.2%
4 6
 
0.7%
5 6
 
0.7%
8 5
 
0.6%
7 5
 
0.6%
Latin
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
H 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 391
35.5%
3 125
 
11.4%
1 119
 
10.8%
2 115
 
10.5%
6 62
 
5.6%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
H 55
 
5.0%
9 46
 
4.2%
Other values (4) 22
 
2.0%

인허가일자
Date

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1989-12-26 00:00:00
Maximum2022-06-08 00:00:00
2024-05-11T03:18:27.451739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:18:27.971641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
20150907
 
1

Length

Max length8
Median length4
Mean length4.0727273
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
98.2%
20150907 1
 
1.8%

Length

2024-05-11T03:18:28.435143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:28.947572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
20150907 1
 
1.8%

영업상태코드
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
3
28 
1
25 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 28
50.9%
1 25
45.5%
2 1
 
1.8%
4 1
 
1.8%

Length

2024-05-11T03:18:29.277941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:29.574368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 28
50.9%
1 25
45.5%
2 1
 
1.8%
4 1
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
폐업
28 
영업/정상
25 
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.5818182
Min length2

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
50.9%
영업/정상 25
45.5%
휴업 1
 
1.8%
취소/말소/만료/정지/중지 1
 
1.8%

Length

2024-05-11T03:18:29.922895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:30.290105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
50.9%
영업/정상 25
45.5%
휴업 1
 
1.8%
취소/말소/만료/정지/중지 1
 
1.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
3
28 
13
25 
2
 
1
32
 
1

Length

Max length2
Median length1
Mean length1.4727273
Min length1

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 28
50.9%
13 25
45.5%
2 1
 
1.8%
32 1
 
1.8%

Length

2024-05-11T03:18:30.711709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:31.092366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 28
50.9%
13 25
45.5%
2 1
 
1.8%
32 1
 
1.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
폐업
28 
영업중
25 
휴업
 
1
신고취소
 
1

Length

Max length4
Median length2
Mean length2.4909091
Min length2

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
50.9%
영업중 25
45.5%
휴업 1
 
1.8%
신고취소 1
 
1.8%

Length

2024-05-11T03:18:31.512828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:31.939466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
50.9%
영업중 25
45.5%
휴업 1
 
1.8%
신고취소 1
 
1.8%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)92.0%
Missing30
Missing (%)54.5%
Memory size572.0 B
Minimum1989-12-26 00:00:00
Maximum2023-11-06 00:00:00
2024-05-11T03:18:32.341951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:18:32.796788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
20010901
 
1

Length

Max length8
Median length4
Mean length4.0727273
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
98.2%
20010901 1
 
1.8%

Length

2024-05-11T03:18:33.307547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:33.656392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
20010901 1
 
1.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
20011230
 
1

Length

Max length8
Median length4
Mean length4.0727273
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
98.2%
20011230 1
 
1.8%

Length

2024-05-11T03:18:34.151874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:34.537909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
20011230 1
 
1.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct33
Distinct (%)94.3%
Missing20
Missing (%)36.4%
Memory size572.0 B
2024-05-11T03:18:35.103043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length10.628571
Min length8

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)88.6%

Sample

1st row02-559-7529
2nd row541-3111
3rd row02-3451-8441
4th row02-531-6454
5th row02-3440-8000
ValueCountFrequency (%)
02-559-7529 2
 
5.7%
570-9900 2
 
5.7%
02-1688-0580 1
 
2.9%
543-9633 1
 
2.9%
02-445-9633 1
 
2.9%
02-2193-1234 1
 
2.9%
02-563-6777 1
 
2.9%
02-543-5991 1
 
2.9%
02-3449-1094 1
 
2.9%
0317807673 1
 
2.9%
Other values (23) 23
65.7%
2024-05-11T03:18:36.356657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
16.4%
- 55
14.8%
4 40
10.8%
2 37
9.9%
3 36
9.7%
5 35
9.4%
1 30
8.1%
9 21
 
5.6%
7 18
 
4.8%
8 17
 
4.6%
Other values (4) 22
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
83.9%
Dash Punctuation 55
 
14.8%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
19.6%
4 40
12.8%
2 37
11.9%
3 36
11.5%
5 35
11.2%
1 30
9.6%
9 21
 
6.7%
7 18
 
5.8%
8 17
 
5.4%
6 17
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
16.4%
- 55
14.8%
4 40
10.8%
2 37
9.9%
3 36
9.7%
5 35
9.4%
1 30
8.1%
9 21
 
5.6%
7 18
 
4.8%
8 17
 
4.6%
Other values (4) 22
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
16.4%
- 55
14.8%
4 40
10.8%
2 37
9.9%
3 36
9.7%
5 35
9.4%
1 30
8.1%
9 21
 
5.6%
7 18
 
4.8%
8 17
 
4.6%
Other values (4) 22
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Text

MISSING 

Distinct30
Distinct (%)81.1%
Missing18
Missing (%)32.7%
Memory size572.0 B
2024-05-11T03:18:37.077904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1621622
Min length6

Characters and Unicode

Total characters228
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

Unique24 ?
Unique (%)64.9%

Sample

1st row135090
2nd row135090
3rd row135821
4th row135839
5th row135878
ValueCountFrequency (%)
135090 3
 
8.1%
135939 2
 
5.4%
135504 2
 
5.4%
135856 2
 
5.4%
135948 2
 
5.4%
135907 2
 
5.4%
135-938 1
 
2.7%
135832 1
 
2.7%
135928 1
 
2.7%
135-886 1
 
2.7%
Other values (20) 20
54.1%
2024-05-11T03:18:38.072692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 50
21.9%
3 48
21.1%
1 42
18.4%
8 23
10.1%
9 20
 
8.8%
0 12
 
5.3%
2 10
 
4.4%
4 8
 
3.5%
7 6
 
2.6%
- 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
97.4%
Dash Punctuation 6
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 50
22.5%
3 48
21.6%
1 42
18.9%
8 23
10.4%
9 20
 
9.0%
0 12
 
5.4%
2 10
 
4.5%
4 8
 
3.6%
7 6
 
2.7%
6 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 50
21.9%
3 48
21.1%
1 42
18.4%
8 23
10.1%
9 20
 
8.8%
0 12
 
5.3%
2 10
 
4.4%
4 8
 
3.5%
7 6
 
2.6%
- 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 50
21.9%
3 48
21.1%
1 42
18.4%
8 23
10.1%
9 20
 
8.8%
0 12
 
5.3%
2 10
 
4.4%
4 8
 
3.5%
7 6
 
2.6%
- 6
 
2.6%

지번주소
Text

MISSING 

Distinct54
Distinct (%)100.0%
Missing1
Missing (%)1.8%
Memory size572.0 B
2024-05-11T03:18:38.798129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length23.092593
Min length16

Characters and Unicode

Total characters1247
Distinct characters84
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 삼성동 159-8번지
2nd row서울특별시 강남구 삼성동 159-8
3rd row서울특별시 강남구 청담동 53-7 B2층
4th row서울특별시 강남구 논현동 114번지
5th row서울특별시 강남구 대치동 889-5번지
ValueCountFrequency (%)
서울특별시 54
22.0%
강남구 54
22.0%
논현동 10
 
4.1%
역삼동 9
 
3.7%
대치동 7
 
2.8%
도곡동 6
 
2.4%
청담동 6
 
2.4%
삼성동 5
 
2.0%
신사동 4
 
1.6%
b2층 3
 
1.2%
Other values (77) 88
35.8%
2024-05-11T03:18:40.152220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
18.4%
서 58
 
4.7%
동 56
 
4.5%
구 55
 
4.4%
울 55
 
4.4%
특 54
 
4.3%
별 54
 
4.3%
시 54
 
4.3%
강 54
 
4.3%
남 54
 
4.3%
Other values (74) 524
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
59.7%
Space Separator 229
 
18.4%
Decimal Number 225
 
18.0%
Dash Punctuation 36
 
2.9%
Other Punctuation 8
 
0.6%
Uppercase Letter 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
 
7.8%
동 56
 
7.5%
구 55
 
7.4%
울 55
 
7.4%
특 54
 
7.3%
별 54
 
7.3%
시 54
 
7.3%
강 54
 
7.3%
남 54
 
7.3%
지 33
 
4.4%
Other values (58) 217
29.2%
Decimal Number
ValueCountFrequency (%)
1 45
20.0%
4 27
12.0%
2 26
11.6%
7 24
10.7%
6 21
9.3%
9 19
8.4%
5 18
 
8.0%
3 18
 
8.0%
8 14
 
6.2%
0 13
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
59.7%
Common 499
40.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
 
7.8%
동 56
 
7.5%
구 55
 
7.4%
울 55
 
7.4%
특 54
 
7.3%
별 54
 
7.3%
시 54
 
7.3%
강 54
 
7.3%
남 54
 
7.3%
지 33
 
4.4%
Other values (58) 217
29.2%
Common
ValueCountFrequency (%)
229
45.9%
1 45
 
9.0%
- 36
 
7.2%
4 27
 
5.4%
2 26
 
5.2%
7 24
 
4.8%
6 21
 
4.2%
9 19
 
3.8%
5 18
 
3.6%
3 18
 
3.6%
Other values (5) 36
 
7.2%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
59.7%
ASCII 503
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
45.5%
1 45
 
8.9%
- 36
 
7.2%
4 27
 
5.4%
2 26
 
5.2%
7 24
 
4.8%
6 21
 
4.2%
9 19
 
3.8%
5 18
 
3.6%
3 18
 
3.6%
Other values (6) 40
 
8.0%
Hangul
ValueCountFrequency (%)
서 58
 
7.8%
동 56
 
7.5%
구 55
 
7.4%
울 55
 
7.4%
특 54
 
7.3%
별 54
 
7.3%
시 54
 
7.3%
강 54
 
7.3%
남 54
 
7.3%
지 33
 
4.4%
Other values (58) 217
29.2%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)92.6%
Missing1
Missing (%)1.8%
Memory size572.0 B
2024-05-11T03:18:40.942131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length29.296296
Min length23

Characters and Unicode

Total characters1582
Distinct characters124
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)85.2%

Sample

1st row서울특별시 강남구 테헤란로 521 (삼성동)
2nd row서울특별시 강남구 테헤란로 521 (삼성동)
3rd row서울특별시 강남구 영동대로 737, B2층 (청담동, 호텔리베라)
4th row서울특별시 강남구 언주로 710 (논현동)
5th row서울특별시 강남구 테헤란로 406 (대치동)
ValueCountFrequency (%)
서울특별시 54
 
17.7%
강남구 54
 
17.7%
언주로 11
 
3.6%
역삼동 9
 
3.0%
테헤란로 8
 
2.6%
논현동 8
 
2.6%
대치동 6
 
2.0%
삼성동 6
 
2.0%
봉은사로 5
 
1.6%
도곡동 5
 
1.6%
Other values (103) 139
45.6%
2024-05-11T03:18:42.797357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
 
17.1%
동 61
 
3.9%
서 60
 
3.8%
남 60
 
3.8%
구 58
 
3.7%
강 57
 
3.6%
울 57
 
3.6%
시 55
 
3.5%
로 54
 
3.4%
( 54
 
3.4%
Other values (114) 795
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 951
60.1%
Space Separator 271
 
17.1%
Decimal Number 206
 
13.0%
Open Punctuation 54
 
3.4%
Close Punctuation 54
 
3.4%
Other Punctuation 39
 
2.5%
Uppercase Letter 4
 
0.3%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
 
6.4%
서 60
 
6.3%
남 60
 
6.3%
구 58
 
6.1%
강 57
 
6.0%
울 57
 
6.0%
시 55
 
5.8%
로 54
 
5.7%
별 54
 
5.7%
특 54
 
5.7%
Other values (97) 381
40.1%
Decimal Number
ValueCountFrequency (%)
2 38
18.4%
1 37
18.0%
3 27
13.1%
4 27
13.1%
6 21
10.2%
5 16
7.8%
0 15
 
7.3%
7 11
 
5.3%
8 10
 
4.9%
9 4
 
1.9%
Space Separator
ValueCountFrequency (%)
271
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 951
60.1%
Common 627
39.6%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
 
6.4%
서 60
 
6.3%
남 60
 
6.3%
구 58
 
6.1%
강 57
 
6.0%
울 57
 
6.0%
시 55
 
5.8%
로 54
 
5.7%
별 54
 
5.7%
특 54
 
5.7%
Other values (97) 381
40.1%
Common
ValueCountFrequency (%)
271
43.2%
( 54
 
8.6%
) 54
 
8.6%
, 39
 
6.2%
2 38
 
6.1%
1 37
 
5.9%
3 27
 
4.3%
4 27
 
4.3%
6 21
 
3.3%
5 16
 
2.6%
Other values (6) 43
 
6.9%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 951
60.1%
ASCII 631
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
42.9%
( 54
 
8.6%
) 54
 
8.6%
, 39
 
6.2%
2 38
 
6.0%
1 37
 
5.9%
3 27
 
4.3%
4 27
 
4.3%
6 21
 
3.3%
5 16
 
2.5%
Other values (7) 47
 
7.4%
Hangul
ValueCountFrequency (%)
동 61
 
6.4%
서 60
 
6.3%
남 60
 
6.3%
구 58
 
6.1%
강 57
 
6.0%
울 57
 
6.0%
시 55
 
5.8%
로 54
 
5.7%
별 54
 
5.7%
특 54
 
5.7%
Other values (97) 381
40.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing33
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean12058.818
Minimum6022
Maximum135891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:18:43.638760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6022
5-th percentile6029.05
Q16063
median6153
Q36287.5
95-th percentile6360.9
Maximum135891
Range129869
Interquartile range (IQR)224.5

Descriptive statistics

Standard deviation27658.535
Coefficient of variation (CV)2.2936356
Kurtosis21.99916
Mean12058.818
Median Absolute Deviation (MAD)97.5
Skewness4.6902874
Sum265294
Variance7.6499456 × 108
MonotonicityNot monotonic
2024-05-11T03:18:44.670076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6062 2
 
3.6%
6338 1
 
1.8%
6049 1
 
1.8%
6311 1
 
1.8%
6105 1
 
1.8%
6142 1
 
1.8%
6265 1
 
1.8%
6295 1
 
1.8%
6029 1
 
1.8%
6119 1
 
1.8%
Other values (11) 11
 
20.0%
(Missing) 33
60.0%
ValueCountFrequency (%)
6022 1
1.8%
6029 1
1.8%
6030 1
1.8%
6049 1
1.8%
6062 2
3.6%
6066 1
1.8%
6071 1
1.8%
6105 1
1.8%
6119 1
1.8%
6142 1
1.8%
ValueCountFrequency (%)
135891 1
1.8%
6362 1
1.8%
6340 1
1.8%
6338 1
1.8%
6311 1
1.8%
6295 1
1.8%
6265 1
1.8%
6205 1
1.8%
6192 1
1.8%
6174 1
1.8%

사업장명
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T03:18:45.364466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length13.454545
Min length3

Characters and Unicode

Total characters740
Distinct characters208
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

Unique53 ?
Unique (%)96.4%

Sample

1st row한무개발(주)
2nd row메트로폴리탄헬스클럽
3rd row(주)신안관광 호텔리베라 휘트니스클럽
4th row장원산업(주) 스포츠 사업부
5th row(주) 나산 C.L.C
ValueCountFrequency (%)
자마이카 2
 
2.0%
피트니스 2
 
2.0%
휘트니스 2
 
2.0%
휘트니스클럽 2
 
2.0%
스포츠 2
 
2.0%
나산 2
 
2.0%
c.l.c 2
 
2.0%
서울 2
 
2.0%
템플럼 1
 
1.0%
코오롱글로벌(주)스포렉스(53 1
 
1.0%
Other values (84) 84
82.4%
2024-05-11T03:18:46.566383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
6.4%
스 41
 
5.5%
) 36
 
4.9%
( 36
 
4.9%
주 23
 
3.1%
포 18
 
2.4%
트 15
 
2.0%
니 15
 
2.0%
클 14
 
1.9%
럽 14
 
1.9%
Other values (198) 481
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
67.2%
Uppercase Letter 55
 
7.4%
Space Separator 47
 
6.4%
Close Punctuation 39
 
5.3%
Open Punctuation 39
 
5.3%
Decimal Number 35
 
4.7%
Lowercase Letter 20
 
2.7%
Other Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 41
 
8.2%
주 23
 
4.6%
포 18
 
3.6%
트 15
 
3.0%
니 15
 
3.0%
클 14
 
2.8%
럽 14
 
2.8%
리 13
 
2.6%
츠 13
 
2.6%
센 11
 
2.2%
Other values (147) 320
64.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
 
10.9%
A 6
 
10.9%
T 4
 
7.3%
R 4
 
7.3%
I 4
 
7.3%
S 4
 
7.3%
E 4
 
7.3%
O 3
 
5.5%
L 3
 
5.5%
P 2
 
3.6%
Other values (12) 15
27.3%
Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
n 3
15.0%
u 2
10.0%
l 2
10.0%
r 1
 
5.0%
k 1
 
5.0%
b 1
 
5.0%
o 1
 
5.0%
d 1
 
5.0%
m 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
4 8
22.9%
5 8
22.9%
1 7
20.0%
3 4
11.4%
2 3
 
8.6%
0 2
 
5.7%
8 1
 
2.9%
9 1
 
2.9%
6 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 36
92.3%
] 3
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 36
92.3%
[ 3
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
67.2%
Common 168
 
22.7%
Latin 75
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 41
 
8.2%
주 23
 
4.6%
포 18
 
3.6%
트 15
 
3.0%
니 15
 
3.0%
클 14
 
2.8%
럽 14
 
2.8%
리 13
 
2.6%
츠 13
 
2.6%
센 11
 
2.2%
Other values (147) 320
64.4%
Latin
ValueCountFrequency (%)
C 6
 
8.0%
A 6
 
8.0%
T 4
 
5.3%
R 4
 
5.3%
I 4
 
5.3%
S 4
 
5.3%
E 4
 
5.3%
a 4
 
5.3%
n 3
 
4.0%
O 3
 
4.0%
Other values (25) 33
44.0%
Common
ValueCountFrequency (%)
47
28.0%
) 36
21.4%
( 36
21.4%
4 8
 
4.8%
5 8
 
4.8%
. 7
 
4.2%
1 7
 
4.2%
3 4
 
2.4%
] 3
 
1.8%
[ 3
 
1.8%
Other values (6) 9
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
67.2%
ASCII 243
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
19.3%
) 36
14.8%
( 36
14.8%
4 8
 
3.3%
5 8
 
3.3%
. 7
 
2.9%
1 7
 
2.9%
C 6
 
2.5%
A 6
 
2.5%
T 4
 
1.6%
Other values (41) 78
32.1%
Hangul
ValueCountFrequency (%)
스 41
 
8.2%
주 23
 
4.6%
포 18
 
3.6%
트 15
 
3.0%
니 15
 
3.0%
클 14
 
2.8%
럽 14
 
2.8%
리 13
 
2.6%
츠 13
 
2.6%
센 11
 
2.2%
Other values (147) 320
64.4%

최종수정일자
Date

Distinct52
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2003-02-08 13:47:30
Maximum2024-04-22 09:05:03
2024-05-11T03:18:47.165341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:18:47.658326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
30 
U
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 30
54.5%
U 25
45.5%

Length

2024-05-11T03:18:48.527939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:18:48.899337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
54.5%
u 25
45.5%

데이터갱신일자
Categorical

Distinct26
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
2018-08-31 23:59:59.0
26 
2022-11-01 00:09:00.0
 
2
2023-12-01 23:08:00.0
 
2
2021-12-03 23:02:00.0
 
2
2021-06-03 02:40:00.0
 
2
Other values (21)
21 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique21 ?
Unique (%)38.2%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-12-03 23:02:00.0
3rd row2021-08-08 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 26
47.3%
2022-11-01 00:09:00.0 2
 
3.6%
2023-12-01 23:08:00.0 2
 
3.6%
2021-12-03 23:02:00.0 2
 
3.6%
2021-06-03 02:40:00.0 2
 
3.6%
2023-12-03 22:04:00.0 1
 
1.8%
2021-08-08 02:40:00.0 1
 
1.8%
2021-10-16 02:40:00.0 1
 
1.8%
2022-12-07 23:03:00.0 1
 
1.8%
2019-07-16 02:40:00.0 1
 
1.8%
Other values (16) 16
29.1%

Length

2024-05-11T03:18:49.399885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 26
23.6%
23:59:59.0 26
23.6%
02:40:00.0 8
 
7.3%
2021-12-03 5
 
4.5%
23:08:00.0 3
 
2.7%
23:02:00.0 3
 
2.7%
2022-12-04 3
 
2.7%
2022-11-01 2
 
1.8%
00:09:00.0 2
 
1.8%
2023-12-01 2
 
1.8%
Other values (28) 30
27.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)77.4%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean204141.58
Minimum202068.3
Maximum208184.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:18:49.777619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202068.3
5-th percentile202246.93
Q1203102.07
median203829.43
Q3204850
95-th percentile207029.75
Maximum208184.25
Range6115.9495
Interquartile range (IQR)1747.9238

Descriptive statistics

Standard deviation1466.2608
Coefficient of variation (CV)0.0071825682
Kurtosis0.53570379
Mean204141.58
Median Absolute Deviation (MAD)885.32558
Skewness0.88609083
Sum10819504
Variance2149920.8
MonotonicityNot monotonic
2024-05-11T03:18:50.238968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
203789.588128352 3
 
5.5%
205314.159889285 2
 
3.6%
203102.074986325 2
 
3.6%
204240.161509413 2
 
3.6%
204518.8799802 2
 
3.6%
205130.591678902 2
 
3.6%
203599.062771687 2
 
3.6%
206970.919291372 2
 
3.6%
202231.679115994 2
 
3.6%
203107.189301648 2
 
3.6%
Other values (31) 32
58.2%
ValueCountFrequency (%)
202068.297671494 1
1.8%
202231.679115994 2
3.6%
202257.099030843 1
1.8%
202395.02652512 1
1.8%
202422.404397085 1
1.8%
202482.216634599 1
1.8%
202482.701418444 1
1.8%
202554.432678338 1
1.8%
202725.962072631 1
1.8%
202880.352622758 1
1.8%
ValueCountFrequency (%)
208184.247157358 1
1.8%
207834.156216454 1
1.8%
207117.994691239 1
1.8%
206970.919291372 2
3.6%
205713.28 1
1.8%
205710.170088377 1
1.8%
205601.904041677 1
1.8%
205314.159889285 2
3.6%
205171.096196141 1
1.8%
205130.591678902 2
3.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)77.4%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean444843.26
Minimum441491.96
Maximum447037.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T03:18:50.682315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441491.96
5-th percentile442630.58
Q1443574.41
median445006.43
Q3445751.65
95-th percentile446919.42
Maximum447037.82
Range5545.8593
Interquartile range (IQR)2177.2404

Descriptive statistics

Standard deviation1434.7048
Coefficient of variation (CV)0.0032251918
Kurtosis-0.71654887
Mean444843.26
Median Absolute Deviation (MAD)1070.3767
Skewness-0.32144638
Sum23576693
Variance2058378
MonotonicityNot monotonic
2024-05-11T03:18:51.058187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
446796.128299612 3
 
5.5%
445204.709309676 2
 
3.6%
445751.652027981 2
 
3.6%
442920.436645854 2
 
3.6%
442703.584823804 2
 
3.6%
445590.096837802 2
 
3.6%
444556.062267296 2
 
3.6%
443574.411625824 2
 
3.6%
447037.821824887 2
 
3.6%
446076.805415494 2
 
3.6%
Other values (31) 32
58.2%
ValueCountFrequency (%)
441491.962568552 1
1.8%
442344.083634873 1
1.8%
442521.07233718 1
1.8%
442703.584823804 2
3.6%
442776.692188896 1
1.8%
442794.574490766 1
1.8%
442920.436645854 2
3.6%
443203.561575728 1
1.8%
443307.454733568 1
1.8%
443531.31262457 1
1.8%
ValueCountFrequency (%)
447037.821824887 2
3.6%
447020.420866992 1
 
1.8%
446852.078363788 1
 
1.8%
446796.128299612 3
5.5%
446764.944152327 1
 
1.8%
446416.151961396 1
 
1.8%
446195.189237957 1
 
1.8%
446183.173617335 1
 
1.8%
446076.805415494 2
3.6%
445751.652027981 2
3.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)
03220000CDFH330126198900000119891226<NA>3폐업3폐업19891226<NA><NA><NA><NA><NA>135090서울특별시 강남구 삼성동 159-8번지서울특별시 강남구 테헤란로 521 (삼성동)<NA>한무개발(주)2014-05-08 17:06:03I2018-08-31 23:59:59.0<NA>205314.159889445204.70931
13220000CDFH330126198900000319891226<NA>1영업/정상13영업중<NA><NA><NA><NA>02-559-7529<NA>135090서울특별시 강남구 삼성동 159-8서울특별시 강남구 테헤란로 521 (삼성동)<NA>메트로폴리탄헬스클럽2022-04-08 16:46:40U2021-12-03 23:02:00.0<NA>205314.159889445204.70931
23220000CDFH330126199000000119900110<NA>3폐업3폐업20210806<NA><NA><NA>541-3111<NA><NA>서울특별시 강남구 청담동 53-7 B2층서울특별시 강남구 영동대로 737, B2층 (청담동, 호텔리베라)6071(주)신안관광 호텔리베라 휘트니스클럽2021-08-06 15:23:46U2021-08-08 02:40:00.0<NA>204714.758457446852.078364
33220000CDFH330126199000000219900707<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>135821서울특별시 강남구 논현동 114번지서울특별시 강남구 언주로 710 (논현동)<NA>장원산업(주) 스포츠 사업부2011-02-01 11:55:48I2018-08-31 23:59:59.0<NA>203107.189302446076.805415
43220000CDFH330126199100000119910205<NA>3폐업3폐업20000830<NA><NA><NA><NA><NA>135839서울특별시 강남구 대치동 889-5번지서울특별시 강남구 테헤란로 406 (대치동)<NA>(주) 나산 C.L.C2003-02-08 13:47:30I2018-08-31 23:59:59.0<NA>204325.143969444689.09523
53220000CDFH330126199100000219910221<NA>3폐업3폐업20021130<NA><NA><NA><NA><NA>135878서울특별시 강남구 삼성동 151-7번지서울특별시 강남구 삼성로 534 (삼성동)<NA>스포츠타운 다이아몬드2003-02-08 13:47:30I2018-08-31 23:59:59.0<NA>204849.998753445280.596881
63220000CDFH330126199100000319910312<NA>3폐업3폐업20041116<NA><NA><NA><NA><NA>135513서울특별시 강남구 역삼동 701번지서울특별시 강남구 언주로 508 (역삼동)<NA>공무원연금관리공단 서울사무소2004-11-16 15:54:41I2018-08-31 23:59:59.0<NA>203746.537598444628.078135
73220000CDFH330126199300000119930315<NA>3폐업3폐업20210601<NA><NA><NA>02-3451-8441<NA>135907서울특별시 강남구 역삼동 602-4서울특별시 강남구 봉은사로 120 (역삼동)<NA>르 메르디앙 서울 호텔2021-06-01 10:27:15U2021-06-03 02:40:00.0<NA>202395.026525444750.399574
83220000CDFH330126199300000219930402<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>135874서울특별시 강남구 삼성동 112-5번지서울특별시 강남구 봉은사로 410 (삼성동)<NA>대주관광(주) 호텔뉴월드 휘트니스클럽2011-02-01 11:53:00I2018-08-31 23:59:59.0<NA>203943.259445342.390545
93220000CDFH330126199300000319930609<NA>3폐업3폐업20081021<NA><NA><NA><NA><NA>135820서울특별시 강남구 논현동 111-13번지서울특별시 강남구 선릉로131길 8 (논현동)<NA>(주)노벨스포츠센타2008-10-21 16:05:25I2018-08-31 23:59:59.0<NA>203489.992663446195.189238
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)
453220000CDFH330126201900000120190813<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2193-1234<NA><NA>서울특별시 강남구 신사동 603서울특별시 강남구 논현로 854 (신사동)6022안다즈 서울 강남(Andaz Seoul Gangnam)2021-04-13 17:13:08U2021-04-15 02:40:00.0<NA>202482.216635447020.420867
463220000CDFH330126201900000220190820<NA>1영업/정상13영업중<NA><NA><NA><NA>02-445-9633<NA><NA>서울특별시 강남구 일원동 617번지 영희초등학교서울특별시 강남구 일원로 21, 영희초등학교 (일원동)6338영희스포츠센터2019-08-20 10:29:32I2019-08-22 02:22:07.0<NA>207117.994691443307.454734
473220000CDFH33012620190000032019-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA>543-9633<NA><NA>서울특별시 강남구 논현동 168 논현초등학교서울특별시 강남구 강남대로120길 33, 논현초등학교 (논현동)6119더논현 스포츠센터2023-05-16 13:46:33U2022-12-04 23:08:00.0<NA>202257.099031445111.142737
483220000CDFH33012620190000042019-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1688-0580<NA><NA>서울특별시 강남구 신사동 550-11 신구초등학교서울특별시 강남구 압구정로18길 28, 신구초등학교 (신사동)6029주식회사 ATB압구정점2023-05-30 16:53:13U2022-12-06 00:01:00.0<NA>202068.297671446764.944152
493220000CDFH330126202000000120201204<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 467-24 우성캐릭터199서울특별시 강남구 언주로 118 (도곡동, 우성캐릭터199)6295자마이카 피트니스2020-12-04 11:12:28I2020-12-06 00:23:07.0<NA>204518.87998442703.584824
503220000CDFH330126202100000120210305<NA>1영업/정상13영업중<NA><NA><NA><NA>02-529-8533<NA><NA>서울특별시 강남구 도곡동 949-3 캠코양재타워서울특별시 강남구 강남대로 262, 캠코양재타워 (도곡동)6265자마이카 피트니스2021-03-09 13:03:52U2021-03-11 02:40:00.0<NA>202880.352623442776.692189
513220000CDFH33012620210000022021-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 676 센터필드서울특별시 강남구 테헤란로 231, 센터필드 26층 (역삼동)6142(주)조선호텔앤리조트 조선팰리스강남 조선웰니스클럽2024-02-16 09:32:28U2023-12-01 23:08:00.0<NA>203599.062772444556.062267
523220000CDFH330126202100000320211108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 211-21서울특별시 강남구 언주로 641, 지하2층 (논현동)6105펜트힐스포츠2021-11-08 12:21:59I2021-11-10 00:22:45.0<NA>203021.909102445735.022021
533220000CDFH330126202200000120220421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1544-4656<NA><NA>서울특별시 강남구 개포동 1273 포이초등학교서울특별시 강남구 개포로22길 87, 포이초등학교 (개포동)6311포이스포츠센터2022-04-21 09:12:41I2021-12-03 22:03:00.0<NA>204558.513478441491.962569
543220000CDFH330126202200000220220608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 74-6서울특별시 강남구 논현로 734, 지상2층,지하3,4층 (논현동)6049에이 스피릿 오브 저니(A SPIRIT OF JOURNEY)2022-06-10 17:14:37U2021-12-05 23:02:00.0<NA>202554.432678446183.173617