Overview

Dataset statistics

Number of variables25
Number of observations203
Missing cells1376
Missing cells (%)27.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.8 KiB
Average record size in memory210.7 B

Variable types

Numeric4
Text6
DateTime6
Categorical6
Unsupported3

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)
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16138/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (90.2%)Imbalance
폐업일자 has 109 (53.7%) missing valuesMissing
휴업시작일자 has 200 (98.5%) missing valuesMissing
휴업종료일자 has 200 (98.5%) missing valuesMissing
재개업일자 has 203 (100.0%) missing valuesMissing
전화번호 has 50 (24.6%) missing valuesMissing
소재지면적 has 203 (100.0%) missing valuesMissing
소재지우편번호 has 64 (31.5%) missing valuesMissing
지번주소 has 3 (1.5%) missing valuesMissing
도로명주소 has 23 (11.3%) missing valuesMissing
도로명우편번호 has 102 (50.2%) missing valuesMissing
업태구분명 has 203 (100.0%) missing valuesMissing
좌표정보(X) has 8 (3.9%) missing valuesMissing
좌표정보(Y) has 8 (3.9%) missing valuesMissing
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 started2024-04-29 18:53:46.811910
Analysis finished2024-04-29 18:53:47.625872
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3149655.2
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-30T03:53:47.712703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13075000
median3200000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)145000

Descriptive statistics

Standard deviation84051.96
Coefficient of variation (CV)0.026686083
Kurtosis-1.1383055
Mean3149655.2
Median Absolute Deviation (MAD)30000
Skewness-0.69176513
Sum6.3938 × 108
Variance7.064732 × 109
MonotonicityNot monotonic
2024-04-30T03:53:47.829674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 55
27.1%
3210000 25
12.3%
3230000 18
 
8.9%
3000000 14
 
6.9%
3010000 13
 
6.4%
3020000 8
 
3.9%
3130000 7
 
3.4%
3040000 6
 
3.0%
3120000 6
 
3.0%
3180000 6
 
3.0%
Other values (15) 45
22.2%
ValueCountFrequency (%)
3000000 14
6.9%
3010000 13
6.4%
3020000 8
3.9%
3030000 1
 
0.5%
3040000 6
3.0%
3050000 3
 
1.5%
3060000 3
 
1.5%
3070000 3
 
1.5%
3080000 4
 
2.0%
3090000 1
 
0.5%
ValueCountFrequency (%)
3240000 2
 
1.0%
3230000 18
 
8.9%
3220000 55
27.1%
3210000 25
12.3%
3200000 4
 
2.0%
3190000 4
 
2.0%
3180000 6
 
3.0%
3170000 1
 
0.5%
3160000 2
 
1.0%
3150000 4
 
2.0%

관리번호
Text

Distinct88
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-30T03:53:48.011452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4060
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

Unique42 ?
Unique (%)20.7%

Sample

1st rowCDFH3301262007000002
2nd rowCDFH3301262022000001
3rd rowCDFH3301262021000001
4th rowCDFH3301262001000001
5th rowCDFH3301262024000001
ValueCountFrequency (%)
cdfh3301262000000001 9
 
4.4%
cdfh3301262002000001 7
 
3.4%
cdfh3301262018000001 7
 
3.4%
cdfh3301262021000001 6
 
3.0%
cdfh3301261997000001 6
 
3.0%
cdfh3301261995000001 6
 
3.0%
cdfh3301261989000001 6
 
3.0%
cdfh3301261991000001 5
 
2.5%
cdfh3301261990000001 5
 
2.5%
cdfh3301261996000001 5
 
2.5%
Other values (78) 141
69.5%
2024-04-30T03:53:48.314712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1420
35.0%
1 502
 
12.4%
3 437
 
10.8%
2 400
 
9.9%
6 220
 
5.4%
C 203
 
5.0%
D 203
 
5.0%
F 203
 
5.0%
H 203
 
5.0%
9 184
 
4.5%
Other values (4) 85
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3248
80.0%
Uppercase Letter 812
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1420
43.7%
1 502
 
15.5%
3 437
 
13.5%
2 400
 
12.3%
6 220
 
6.8%
9 184
 
5.7%
8 25
 
0.8%
4 23
 
0.7%
5 19
 
0.6%
7 18
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 203
25.0%
D 203
25.0%
F 203
25.0%
H 203
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3248
80.0%
Latin 812
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1420
43.7%
1 502
 
15.5%
3 437
 
13.5%
2 400
 
12.3%
6 220
 
6.8%
9 184
 
5.7%
8 25
 
0.8%
4 23
 
0.7%
5 19
 
0.6%
7 18
 
0.6%
Latin
ValueCountFrequency (%)
C 203
25.0%
D 203
25.0%
F 203
25.0%
H 203
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1420
35.0%
1 502
 
12.4%
3 437
 
10.8%
2 400
 
9.9%
6 220
 
5.4%
C 203
 
5.0%
D 203
 
5.0%
F 203
 
5.0%
H 203
 
5.0%
9 184
 
4.5%
Other values (4) 85
 
2.1%

인허가일자
Date

Distinct186
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1989-12-26 00:00:00
Maximum2024-02-28 00:00:00
2024-04-30T03:53:48.451392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:48.571778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
199 
20150817
 
3
20150907
 
1

Length

Max length8
Median length4
Mean length4.0788177
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 199
98.0%
20150817 3
 
1.5%
20150907 1
 
0.5%

Length

2024-04-30T03:53:48.682628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:48.780817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
98.0%
20150817 3
 
1.5%
20150907 1
 
0.5%

영업상태코드
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
97 
3
92 
4
11 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
47.8%
3 92
45.3%
4 11
 
5.4%
2 3
 
1.5%

Length

2024-04-30T03:53:48.881205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:48.974549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
47.8%
3 92
45.3%
4 11
 
5.4%
2 3
 
1.5%

영업상태명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
97 
폐업
92 
취소/말소/만료/정지/중지
11 
휴업
 
3

Length

Max length14
Median length5
Mean length4.0837438
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 97
47.8%
폐업 92
45.3%
취소/말소/만료/정지/중지 11
 
5.4%
휴업 3
 
1.5%

Length

2024-04-30T03:53:49.072529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:49.175178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 97
47.8%
폐업 92
45.3%
취소/말소/만료/정지/중지 11
 
5.4%
휴업 3
 
1.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
97 
3
92 
35
 
7
32
 
4
2
 
3

Length

Max length2
Median length2
Mean length1.5320197
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 97
47.8%
3 92
45.3%
35 7
 
3.4%
32 4
 
2.0%
2 3
 
1.5%

Length

2024-04-30T03:53:49.288299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:49.380924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 97
47.8%
3 92
45.3%
35 7
 
3.4%
32 4
 
2.0%
2 3
 
1.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
97 
폐업
92 
직권말소
 
7
신고취소
 
4
휴업
 
3

Length

Max length4
Median length3
Mean length2.5862069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 97
47.8%
폐업 92
45.3%
직권말소 7
 
3.4%
신고취소 4
 
2.0%
휴업 3
 
1.5%

Length

2024-04-30T03:53:49.480055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:49.582059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 97
47.8%
폐업 92
45.3%
직권말소 7
 
3.4%
신고취소 4
 
2.0%
휴업 3
 
1.5%

폐업일자
Date

MISSING 

Distinct90
Distinct (%)95.7%
Missing109
Missing (%)53.7%
Memory size1.7 KiB
Minimum1989-12-26 00:00:00
Maximum2023-11-06 00:00:00
2024-04-30T03:53:49.683986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:49.801000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing200
Missing (%)98.5%
Memory size1.7 KiB
Minimum2001-09-01 00:00:00
Maximum2023-06-09 00:00:00
2024-04-30T03:53:49.890681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:50.011119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing200
Missing (%)98.5%
Memory size1.7 KiB
Minimum2001-12-30 00:00:00
Maximum2025-06-30 00:00:00
2024-04-30T03:53:50.103845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:50.188932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct150
Distinct (%)98.0%
Missing50
Missing (%)24.6%
Memory size1.7 KiB
2024-04-30T03:53:50.407154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length10.098039
Min length8

Characters and Unicode

Total characters1545
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)96.1%

Sample

1st row733-8111
2nd row02-1544-4656
3rd row02-3408-5000
4th row02-3412-2171
5th row02-6958-8101
ValueCountFrequency (%)
580-8234 2
 
1.3%
02 2
 
1.3%
02-559-7529 2
 
1.3%
570-9900 2
 
1.3%
02-382-2203 1
 
0.6%
02-6200-7300 1
 
0.6%
597-3303 1
 
0.6%
733-8111 1
 
0.6%
591-6060 1
 
0.6%
02-6710-1808 1
 
0.6%
Other values (142) 142
91.0%
2024-04-30T03:53:50.754061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 270
17.5%
- 225
14.6%
2 209
13.5%
3 145
9.4%
4 124
8.0%
1 105
 
6.8%
5 101
 
6.5%
6 100
 
6.5%
8 89
 
5.8%
9 83
 
5.4%
Other values (5) 94
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1308
84.7%
Dash Punctuation 225
 
14.6%
Space Separator 5
 
0.3%
Math Symbol 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 270
20.6%
2 209
16.0%
3 145
11.1%
4 124
9.5%
1 105
 
8.0%
5 101
 
7.7%
6 100
 
7.6%
8 89
 
6.8%
9 83
 
6.3%
7 82
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 225
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1545
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 270
17.5%
- 225
14.6%
2 209
13.5%
3 145
9.4%
4 124
8.0%
1 105
 
6.8%
5 101
 
6.5%
6 100
 
6.5%
8 89
 
5.8%
9 83
 
5.4%
Other values (5) 94
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 270
17.5%
- 225
14.6%
2 209
13.5%
3 145
9.4%
4 124
8.0%
1 105
 
6.8%
5 101
 
6.5%
6 100
 
6.5%
8 89
 
5.8%
9 83
 
5.4%
Other values (5) 94
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Text

MISSING 

Distinct123
Distinct (%)88.5%
Missing64
Missing (%)31.5%
Memory size1.7 KiB
2024-04-30T03:53:51.035138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1366906
Min length6

Characters and Unicode

Total characters853
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

Unique108 ?
Unique (%)77.7%

Sample

1st row110080
2nd row135-938
3rd row157-290
4th row137837
5th row143-708
ValueCountFrequency (%)
135090 3
 
2.2%
122819 2
 
1.4%
135907 2
 
1.4%
157859 2
 
1.4%
135948 2
 
1.4%
135504 2
 
1.4%
139831 2
 
1.4%
135856 2
 
1.4%
137902 2
 
1.4%
151930 2
 
1.4%
Other values (113) 118
84.9%
2024-04-30T03:53:51.421379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 191
22.4%
8 118
13.8%
3 113
13.2%
5 104
12.2%
0 102
12.0%
7 59
 
6.9%
2 50
 
5.9%
9 44
 
5.2%
4 38
 
4.5%
- 19
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 834
97.8%
Dash Punctuation 19
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 191
22.9%
8 118
14.1%
3 113
13.5%
5 104
12.5%
0 102
12.2%
7 59
 
7.1%
2 50
 
6.0%
9 44
 
5.3%
4 38
 
4.6%
6 15
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 853
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 191
22.4%
8 118
13.8%
3 113
13.2%
5 104
12.2%
0 102
12.0%
7 59
 
6.9%
2 50
 
5.9%
9 44
 
5.2%
4 38
 
4.5%
- 19
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 191
22.4%
8 118
13.8%
3 113
13.2%
5 104
12.2%
0 102
12.0%
7 59
 
6.9%
2 50
 
5.9%
9 44
 
5.2%
4 38
 
4.5%
- 19
 
2.2%

지번주소
Text

MISSING 

Distinct196
Distinct (%)98.0%
Missing3
Missing (%)1.5%
Memory size1.7 KiB
2024-04-30T03:53:51.748621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length24.155
Min length14

Characters and Unicode

Total characters4831
Distinct characters216
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

Unique192 ?
Unique (%)96.0%

Sample

1st row서울특별시 종로구 무악동 82번지 무악현대프라자
2nd row서울특별시 강남구 개포동 1273 포이초등학교
3rd row서울특별시 강북구 우이동 346 파라스파라 서울
4th row서울특별시 강남구 일원동 4-1
5th row서울특별시 강북구 미아동 811-2 강북종합체육센터
ValueCountFrequency (%)
서울특별시 200
 
21.4%
강남구 54
 
5.8%
서초구 25
 
2.7%
송파구 17
 
1.8%
종로구 13
 
1.4%
중구 13
 
1.4%
논현동 10
 
1.1%
역삼동 9
 
1.0%
용산구 8
 
0.9%
마포구 7
 
0.7%
Other values (416) 579
61.9%
2024-04-30T03:53:52.220269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
18.2%
서 257
 
5.3%
동 213
 
4.4%
구 209
 
4.3%
울 209
 
4.3%
시 203
 
4.2%
특 200
 
4.1%
별 200
 
4.1%
1 175
 
3.6%
- 143
 
3.0%
Other values (206) 2145
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2950
61.1%
Space Separator 877
 
18.2%
Decimal Number 821
 
17.0%
Dash Punctuation 143
 
3.0%
Other Punctuation 20
 
0.4%
Uppercase Letter 13
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 257
 
8.7%
동 213
 
7.2%
구 209
 
7.1%
울 209
 
7.1%
시 203
 
6.9%
특 200
 
6.8%
별 200
 
6.8%
지 137
 
4.6%
번 110
 
3.7%
강 67
 
2.3%
Other values (181) 1145
38.8%
Decimal Number
ValueCountFrequency (%)
1 175
21.3%
2 139
16.9%
4 81
9.9%
3 66
 
8.0%
0 64
 
7.8%
6 64
 
7.8%
7 63
 
7.7%
5 63
 
7.7%
8 57
 
6.9%
9 49
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
46.2%
T 1
 
7.7%
K 1
 
7.7%
A 1
 
7.7%
Y 1
 
7.7%
C 1
 
7.7%
M 1
 
7.7%
F 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 17
85.0%
. 3
 
15.0%
Space Separator
ValueCountFrequency (%)
877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2950
61.1%
Common 1868
38.7%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 257
 
8.7%
동 213
 
7.2%
구 209
 
7.1%
울 209
 
7.1%
시 203
 
6.9%
특 200
 
6.8%
별 200
 
6.8%
지 137
 
4.6%
번 110
 
3.7%
강 67
 
2.3%
Other values (181) 1145
38.8%
Common
ValueCountFrequency (%)
877
46.9%
1 175
 
9.4%
- 143
 
7.7%
2 139
 
7.4%
4 81
 
4.3%
3 66
 
3.5%
0 64
 
3.4%
6 64
 
3.4%
7 63
 
3.4%
5 63
 
3.4%
Other values (7) 133
 
7.1%
Latin
ValueCountFrequency (%)
B 6
46.2%
T 1
 
7.7%
K 1
 
7.7%
A 1
 
7.7%
Y 1
 
7.7%
C 1
 
7.7%
M 1
 
7.7%
F 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2950
61.1%
ASCII 1881
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
877
46.6%
1 175
 
9.3%
- 143
 
7.6%
2 139
 
7.4%
4 81
 
4.3%
3 66
 
3.5%
0 64
 
3.4%
6 64
 
3.4%
7 63
 
3.3%
5 63
 
3.3%
Other values (15) 146
 
7.8%
Hangul
ValueCountFrequency (%)
서 257
 
8.7%
동 213
 
7.2%
구 209
 
7.1%
울 209
 
7.1%
시 203
 
6.9%
특 200
 
6.8%
별 200
 
6.8%
지 137
 
4.6%
번 110
 
3.7%
강 67
 
2.3%
Other values (181) 1145
38.8%

도로명주소
Text

MISSING 

Distinct172
Distinct (%)95.6%
Missing23
Missing (%)11.3%
Memory size1.7 KiB
2024-04-30T03:53:52.516605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length29.983333
Min length22

Characters and Unicode

Total characters5397
Distinct characters268
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

Unique164 ?
Unique (%)91.1%

Sample

1st row서울특별시 강남구 개포로22길 87, 포이초등학교 (개포동)
2nd row서울특별시 강북구 삼양로 689, 파라스파라 서울 (우이동)
3rd row서울특별시 강남구 남부순환로 3318 (일원동)
4th row서울특별시 강북구 솔샘로48길 14, 강북종합체육센터 (미아동)
5th row서울특별시 강남구 도산대로 442, 4~6층 (청담동, 피엔폴루스)
ValueCountFrequency (%)
서울특별시 180
 
17.6%
강남구 54
 
5.3%
서초구 23
 
2.2%
송파구 16
 
1.6%
종로구 12
 
1.2%
언주로 11
 
1.1%
역삼동 9
 
0.9%
논현동 8
 
0.8%
테헤란로 8
 
0.8%
마포구 7
 
0.7%
Other values (479) 695
67.9%
2024-04-30T03:53:52.933328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
894
 
16.6%
서 251
 
4.7%
동 210
 
3.9%
로 201
 
3.7%
울 192
 
3.6%
구 192
 
3.6%
시 186
 
3.4%
) 183
 
3.4%
( 183
 
3.4%
별 180
 
3.3%
Other values (258) 2725
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3295
61.1%
Space Separator 894
 
16.6%
Decimal Number 684
 
12.7%
Close Punctuation 183
 
3.4%
Open Punctuation 183
 
3.4%
Other Punctuation 128
 
2.4%
Dash Punctuation 16
 
0.3%
Uppercase Letter 13
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 251
 
7.6%
동 210
 
6.4%
로 201
 
6.1%
울 192
 
5.8%
구 192
 
5.8%
시 186
 
5.6%
별 180
 
5.5%
특 180
 
5.5%
남 75
 
2.3%
강 72
 
2.2%
Other values (234) 1556
47.2%
Decimal Number
ValueCountFrequency (%)
1 133
19.4%
2 124
18.1%
3 80
11.7%
4 68
9.9%
7 61
8.9%
0 53
 
7.7%
6 53
 
7.7%
5 45
 
6.6%
8 35
 
5.1%
9 32
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
38.5%
A 2
 
15.4%
C 2
 
15.4%
M 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
Y 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 125
97.7%
. 3
 
2.3%
Space Separator
ValueCountFrequency (%)
894
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3295
61.1%
Common 2089
38.7%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 251
 
7.6%
동 210
 
6.4%
로 201
 
6.1%
울 192
 
5.8%
구 192
 
5.8%
시 186
 
5.6%
별 180
 
5.5%
특 180
 
5.5%
남 75
 
2.3%
강 72
 
2.2%
Other values (234) 1556
47.2%
Common
ValueCountFrequency (%)
894
42.8%
) 183
 
8.8%
( 183
 
8.8%
1 133
 
6.4%
, 125
 
6.0%
2 124
 
5.9%
3 80
 
3.8%
4 68
 
3.3%
7 61
 
2.9%
0 53
 
2.5%
Other values (7) 185
 
8.9%
Latin
ValueCountFrequency (%)
B 5
38.5%
A 2
 
15.4%
C 2
 
15.4%
M 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
Y 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3295
61.1%
ASCII 2102
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
894
42.5%
) 183
 
8.7%
( 183
 
8.7%
1 133
 
6.3%
, 125
 
5.9%
2 124
 
5.9%
3 80
 
3.8%
4 68
 
3.2%
7 61
 
2.9%
0 53
 
2.5%
Other values (14) 198
 
9.4%
Hangul
ValueCountFrequency (%)
서 251
 
7.6%
동 210
 
6.4%
로 201
 
6.1%
울 192
 
5.8%
구 192
 
5.8%
시 186
 
5.6%
별 180
 
5.5%
특 180
 
5.5%
남 75
 
2.3%
강 72
 
2.2%
Other values (234) 1556
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)94.1%
Missing102
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean13692.762
Minimum1000
Maximum138892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-30T03:53:53.071170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2245
Q14090
median5809
Q36623
95-th percentile100102
Maximum138892
Range137892
Interquartile range (IQR)2533

Descriptive statistics

Standard deviation31471.236
Coefficient of variation (CV)2.2983848
Kurtosis10.994862
Mean13692.762
Median Absolute Deviation (MAD)1417
Skewness3.5352351
Sum1382969
Variance9.9043871 × 108
MonotonicityNot monotonic
2024-04-30T03:53:53.183017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6062 2
 
1.0%
4416 2
 
1.0%
4963 2
 
1.0%
5719 2
 
1.0%
5510 2
 
1.0%
6623 2
 
1.0%
6524 1
 
0.5%
6338 1
 
0.5%
135891 1
 
0.5%
6071 1
 
0.5%
Other values (85) 85
41.9%
(Missing) 102
50.2%
ValueCountFrequency (%)
1000 1
0.5%
1193 1
0.5%
1465 1
0.5%
2117 1
0.5%
2184 1
0.5%
2245 1
0.5%
2505 1
0.5%
2592 1
0.5%
2769 1
0.5%
2830 1
0.5%
ValueCountFrequency (%)
138892 1
0.5%
138855 1
0.5%
137867 1
0.5%
137830 1
0.5%
135891 1
0.5%
100102 1
0.5%
100095 1
0.5%
8807 1
0.5%
8776 1
0.5%
8580 1
0.5%

사업장명
Text

Distinct202
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-30T03:53:53.430468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length11.295567
Min length3

Characters and Unicode

Total characters2293
Distinct characters324
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

Unique201 ?
Unique (%)99.0%

Sample

1st row(주)나비스포렉스
2nd row포이스포츠센터
3rd row(주)정상북한산리조트 파라스파라 서울
4th row강남주민편익시설(48)
5th row강북종합체육센터
ValueCountFrequency (%)
서울 7
 
2.1%
휘트니스 5
 
1.5%
휘트니스클럽 5
 
1.5%
코오롱글로벌(주)스포렉스 4
 
1.2%
스포츠 4
 
1.2%
자마이카 3
 
0.9%
주식회사 3
 
0.9%
피트니스 3
 
0.9%
나산 3
 
0.9%
호텔 3
 
0.9%
Other values (285) 295
88.1%
2024-04-30T03:53:53.802460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 178
 
7.8%
133
 
5.8%
포 88
 
3.8%
) 82
 
3.6%
( 81
 
3.5%
주 61
 
2.7%
츠 54
 
2.4%
센 41
 
1.8%
트 41
 
1.8%
니 34
 
1.5%
Other values (314) 1500
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1778
77.5%
Space Separator 133
 
5.8%
Uppercase Letter 101
 
4.4%
Close Punctuation 85
 
3.7%
Open Punctuation 84
 
3.7%
Lowercase Letter 59
 
2.6%
Decimal Number 43
 
1.9%
Other Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 178
 
10.0%
포 88
 
4.9%
주 61
 
3.4%
츠 54
 
3.0%
센 41
 
2.3%
트 41
 
2.3%
니 34
 
1.9%
이 32
 
1.8%
서 31
 
1.7%
리 31
 
1.7%
Other values (257) 1187
66.8%
Uppercase Letter
ValueCountFrequency (%)
C 13
12.9%
A 9
 
8.9%
S 9
 
8.9%
O 8
 
7.9%
R 7
 
6.9%
T 6
 
5.9%
I 6
 
5.9%
F 6
 
5.9%
E 5
 
5.0%
L 4
 
4.0%
Other values (13) 28
27.7%
Lowercase Letter
ValueCountFrequency (%)
n 6
10.2%
e 6
10.2%
u 6
10.2%
a 6
10.2%
s 6
10.2%
l 5
8.5%
o 5
8.5%
r 4
 
6.8%
t 3
 
5.1%
m 2
 
3.4%
Other values (8) 10
16.9%
Decimal Number
ValueCountFrequency (%)
5 9
20.9%
1 8
18.6%
4 8
18.6%
2 5
11.6%
3 5
11.6%
0 3
 
7.0%
8 2
 
4.7%
6 2
 
4.7%
9 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 82
96.5%
] 3
 
3.5%
Open Punctuation
ValueCountFrequency (%)
( 81
96.4%
[ 3
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
& 2
 
20.0%
Space Separator
ValueCountFrequency (%)
133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1778
77.5%
Common 355
 
15.5%
Latin 160
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 178
 
10.0%
포 88
 
4.9%
주 61
 
3.4%
츠 54
 
3.0%
센 41
 
2.3%
트 41
 
2.3%
니 34
 
1.9%
이 32
 
1.8%
서 31
 
1.7%
리 31
 
1.7%
Other values (257) 1187
66.8%
Latin
ValueCountFrequency (%)
C 13
 
8.1%
A 9
 
5.6%
S 9
 
5.6%
O 8
 
5.0%
R 7
 
4.4%
n 6
 
3.8%
T 6
 
3.8%
I 6
 
3.8%
F 6
 
3.8%
e 6
 
3.8%
Other values (31) 84
52.5%
Common
ValueCountFrequency (%)
133
37.5%
) 82
23.1%
( 81
22.8%
5 9
 
2.5%
. 8
 
2.3%
1 8
 
2.3%
4 8
 
2.3%
2 5
 
1.4%
3 5
 
1.4%
] 3
 
0.8%
Other values (6) 13
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1778
77.5%
ASCII 515
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 178
 
10.0%
포 88
 
4.9%
주 61
 
3.4%
츠 54
 
3.0%
센 41
 
2.3%
트 41
 
2.3%
니 34
 
1.9%
이 32
 
1.8%
서 31
 
1.7%
리 31
 
1.7%
Other values (257) 1187
66.8%
ASCII
ValueCountFrequency (%)
133
25.8%
) 82
15.9%
( 81
15.7%
C 13
 
2.5%
A 9
 
1.7%
5 9
 
1.7%
S 9
 
1.7%
O 8
 
1.6%
. 8
 
1.6%
1 8
 
1.6%
Other values (47) 155
30.1%

최종수정일자
Date

Distinct196
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2003-02-07 11:05:36
Maximum2024-04-24 17:06:15
2024-04-30T03:53:53.918292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:54.233003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
108 
U
95 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 108
53.2%
U 95
46.8%

Length

2024-04-30T03:53:54.338455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:53:54.426617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 108
53.2%
u 95
46.8%

데이터갱신일자
Date

Distinct92
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:06:00
2024-04-30T03:53:54.525138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:53:54.629283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing203
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)90.3%
Missing8
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean201025.26
Minimum183863.69
Maximum212017.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-30T03:53:54.754574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183863.69
5-th percentile190050.8
Q1197676.15
median202068.3
Q3204774.12
95-th percentile210431.83
Maximum212017.54
Range28153.852
Interquartile range (IQR)7097.97

Descriptive statistics

Standard deviation5972.8579
Coefficient of variation (CV)0.029711976
Kurtosis-0.14157475
Mean201025.26
Median Absolute Deviation (MAD)3388.9922
Skewness-0.49061782
Sum39199926
Variance35675031
MonotonicityNot monotonic
2024-04-30T03:53:54.869406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203789.588128352 3
 
1.5%
205314.159889285 2
 
1.0%
200357.541925483 2
 
1.0%
204518.8799802 2
 
1.0%
203599.062771687 2
 
1.0%
202231.679115994 2
 
1.0%
203107.189301648 2
 
1.0%
203102.074986325 2
 
1.0%
205457.289886391 2
 
1.0%
210431.832858016 2
 
1.0%
Other values (166) 174
85.7%
(Missing) 8
 
3.9%
ValueCountFrequency (%)
183863.692502412 1
0.5%
184368.686658363 1
0.5%
186065.684789257 1
0.5%
188518.776948398 2
1.0%
188884.075622342 1
0.5%
189042.496526196 1
0.5%
189423.528553032 1
0.5%
189652.39063982 1
0.5%
189919.550051873 1
0.5%
190107.045415333 1
0.5%
ValueCountFrequency (%)
212017.544442379 1
0.5%
211708.264681572 1
0.5%
211618.842468751 1
0.5%
211565.077399034 1
0.5%
211275.576090268 1
0.5%
211259.909777857 1
0.5%
211158.583786406 1
0.5%
211073.254003391 1
0.5%
210527.744574834 1
0.5%
210431.832858016 2
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)90.3%
Missing8
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean447662.74
Minimum438520.18
Maximum462416.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-30T03:53:54.982248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438520.18
5-th percentile442109.25
Q1444466.48
median446268.29
Q3450955.53
95-th percentile456505.93
Maximum462416.39
Range23896.211
Interquartile range (IQR)6489.0503

Descriptive statistics

Standard deviation4692.0942
Coefficient of variation (CV)0.010481315
Kurtosis0.25485149
Mean447662.74
Median Absolute Deviation (MAD)2924.5708
Skewness0.80925318
Sum87294234
Variance22015748
MonotonicityNot monotonic
2024-04-30T03:53:55.095864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446796.128299612 3
 
1.5%
445204.709309676 2
 
1.0%
447271.660261703 2
 
1.0%
442703.584823804 2
 
1.0%
444556.062267296 2
 
1.0%
447037.821824887 2
 
1.0%
446076.805415494 2
 
1.0%
445751.652027981 2
 
1.0%
460487.443375594 2
 
1.0%
443465.4592322 2
 
1.0%
Other values (166) 174
85.7%
(Missing) 8
 
3.9%
ValueCountFrequency (%)
438520.182013694 1
0.5%
439645.62001111 1
0.5%
440222.152896766 1
0.5%
440511.561175378 1
0.5%
440538.66418347 1
0.5%
440593.5758415 1
0.5%
441368.909286824 1
0.5%
441491.962568552 1
0.5%
441553.175701974 1
0.5%
441707.819305687 1
0.5%
ValueCountFrequency (%)
462416.392839185 1
0.5%
460669.836412326 1
0.5%
460487.443375594 2
1.0%
460001.081136921 1
0.5%
459684.700181354 1
0.5%
457451.743655326 1
0.5%
456645.314725935 1
0.5%
456570.084566278 2
1.0%
456478.436790904 1
0.5%
456473.886142136 1
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)
03000000CDFH330126200700000220070705<NA>3폐업3폐업20080317<NA><NA><NA>733-8111<NA>110080서울특별시 종로구 무악동 82번지 무악현대프라자<NA><NA>(주)나비스포렉스2009-01-08 10:33:23I2018-08-31 23:59:59.0<NA>196467.975088452566.13403
13220000CDFH330126202200000120220421<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
23080000CDFH330126202100000120210826<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3408-5000<NA><NA>서울특별시 강북구 우이동 346 파라스파라 서울서울특별시 강북구 삼양로 689, 파라스파라 서울 (우이동)1000(주)정상북한산리조트 파라스파라 서울2022-12-12 14:23:13U2021-11-01 23:04:00.0<NA>200704.539774462416.392839
33220000CDFH33012620010000012001-01-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3412-2171<NA>135-938서울특별시 강남구 일원동 4-1서울특별시 강남구 남부순환로 3318 (일원동)6340강남주민편익시설(48)2023-04-03 14:37:51U2022-12-04 00:05:00.0<NA><NA><NA>
43080000CDFH33012620240000012024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-8101<NA><NA>서울특별시 강북구 미아동 811-2 강북종합체육센터서울특별시 강북구 솔샘로48길 14, 강북종합체육센터 (미아동)1193강북종합체육센터2024-02-28 09:39:25I2023-12-03 00:01:00.0<NA>201496.115944457451.743655
53220000CDFH330126201500000220150909<NA>1영업/정상13영업중<NA><NA><NA><NA>0317807673<NA><NA>서울특별시 강남구 청담동 4-1 4~6층서울특별시 강남구 도산대로 442, 4~6층 (청담동, 피엔폴루스)6062코오롱글로벌(주)스포렉스(53)2022-04-19 12:41:09U2021-12-03 22:01:00.0<NA>203789.588128446796.1283
63150000CDFH33012620020000012002-01-10<NA>1영업/정상13영업중<NA><NA><NA><NA>2660-9300<NA>157-290서울특별시 강서구 외발산동 426 외 1필지(368-2)서울특별시 강서구 방화대로 94 (외발산동, 외 1필지(368-2))7506메이필드호텔 휘트니스클럽2023-04-20 09:27:50U2022-12-03 22:02:00.0<NA>183863.692502449443.610735
73210000CDFH330126201300000220131030<NA>1영업/정상13영업중<NA><NA><NA><NA>535-2601~2<NA>137837서울특별시 서초구 방배동 852-14 방배열린문화센터 지하1, 지상5.6.7층서울특별시 서초구 방배로 173 (방배동, 방배열린문화센터지하1,지상5,6,7층)6572코오롱글로벌(주)스포렉스 방배점2022-04-19 17:35:08U2021-12-03 22:01:00.0<NA>199250.378046442973.400333
83220000CDFH330126199900000119991015<NA>1영업/정상13영업중<NA><NA><NA><NA>02-559-7529<NA><NA><NA>서울특별시 강남구 봉은사로 524 (삼성동, 코엑스인터콘티넨탈서울)6164코스모폴리탄휘트니스클럽2022-04-08 16:47:52U2021-12-03 23:02:00.0<NA>205130.591679445590.096838
93040000CDFH33012620040000012004-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-450-4424<NA>143-708서울특별시 광진구 광장동 산 21서울특별시 광진구 워커힐로 177 (광장동)4963루(ROO)2023-05-08 14:53:29U2022-12-04 23:00:00.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)
1933230000CDFH330126202100000120210901<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2092-6000<NA><NA>서울특별시 송파구 신천동 29-1 KT송파타워서울특별시 송파구 잠실로 209, KT송파타워 (신천동)5552소피텔 앰배서더 서울 호텔 앤 서비스드 레지던스2021-09-01 09:29:08I2021-09-03 00:22:50.0<NA>209338.12868445745.524217
1943130000CDFH330126201100000320111004<NA>3폐업3폐업20220607<NA><NA><NA>02-6016-0070<NA>121270서울특별시 마포구 상암동 1587서울특별시 마포구 월드컵북로58길 15 (상암동)3922스탠포드호텔서울 휘트니스센터2022-06-07 14:22:48U2021-12-06 00:09:00.0<NA>189919.550052453342.222209
1953220000CDFH330126202200000220220608<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
1963210000CDFH330126202200000120220615<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3464-4970<NA><NA>서울특별시 서초구 양재동 231 현대기아자동차빌딩서울특별시 서초구 헌릉로 12, 현대기아자동차빌딩 지하1층 (양재동)6797짐나지움2022-06-15 16:34:11I2021-12-05 23:07:00.0<NA>203705.426304440222.152897
1973210000CDFH330126200400000120040218<NA>1영업/정상13영업중<NA><NA><NA><NA>3487-9933<NA>137867서울특별시 서초구 서초동 1446-11 지하1층서울특별시 서초구 서초중앙로 15 (서초동, (지1층))137867공우이엔씨 주식회사(슈퍼빌휘트니스)2022-08-05 16:28:12U2021-12-08 00:07:00.0<NA>201347.665919442312.725051
1983110000CDFH330126200400000120040610<NA>2휴업2휴업<NA>2022062920230629<NA>02-382-2203<NA>122819서울특별시 은평구 구산동 1-24 상원빌딩 지층서울특별시 은평구 서오릉로 145 (구산동,상원빌딩 지층)<NA>(주)상원스포월드2022-09-22 11:02:47U2021-12-08 22:04:00.0<NA>192563.874496456570.084566
1993000000CDFH330126200600000120060706<NA>1영업/정상13영업중<NA><NA><NA><NA>02-379-0070<NA><NA>서울특별시 종로구 구기동 105-1서울특별시 종로구 진흥로 446 (구기동, 외 4필지)3012로제우스2022-10-19 14:53:43U2021-10-30 22:01:00.0<NA>196196.102281456120.471852
2003240000CDFH33012620180000012018-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-489-2999<NA><NA>서울특별시 강동구 성내동 531 서울성일초등학교서울특별시 강동구 성내로15길 33, 서울성일초등학교 (성내동)5396(주) 다빈홀딩스 성일스포렉스2023-05-16 13:49:48U2022-12-04 23:08:00.0<NA>211275.57609447440.867842
2013180000CDFH33012620070000012007-07-09<NA>1영업/정상13영업중<NA><NA><NA><NA>2090-8080<NA>150-881서울특별시 영등포구 여의도동 28-3 메리어트호텔 지하 1,2층서울특별시 영등포구 여의대로 8 (여의도동,메리어트호텔 지하 1,2층)<NA>메리엇 수 피트니스 앤 스파2023-12-21 14:48:13U2022-11-01 22:03:00.0<NA>192739.314354446552.469846
2023220000CDFH33012620140000012014-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>2016-1234<NA>135-552서울특별시 강남구 대치동 995-14 파크하얏트서울 22,23층서울특별시 강남구 테헤란로 606, 22,23층 (대치동, 파크하얏트서울)6174파크클럽(Park Club)(51)2024-04-22 09:05:03U2023-12-03 22:04:00.0<NA>205601.904042445151.509505