Overview

Dataset statistics

Number of variables25
Number of observations25
Missing cells187
Missing cells (%)29.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory218.3 B

Variable types

Categorical7
Text6
DateTime2
Unsupported6
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y)
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19773/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 16 (64.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 1 (4.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 4 (16.0%) missing valuesMissing
도로명주소 has 2 (8.0%) missing valuesMissing
도로명우편번호 has 14 (56.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:15:27.407706
Analysis finished2024-04-06 12:15:28.064662
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3210000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 25
100.0%

Length

2024-04-06T21:15:28.176286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:28.336509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:15:28.619650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters500
Distinct characters13
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowCDFH3301261991000001
2nd rowCDFH3301261991000002
3rd rowCDFH3301261991000003
4th rowCDFH3301261991000004
5th rowCDFH3301261991000005
ValueCountFrequency (%)
cdfh3301261991000001 1
 
4.0%
cdfh3301261999000002 1
 
4.0%
cdfh3301262021000001 1
 
4.0%
cdfh3301262019000001 1
 
4.0%
cdfh3301262018000001 1
 
4.0%
cdfh3301262013000002 1
 
4.0%
cdfh3301262013000001 1
 
4.0%
cdfh3301262004000001 1
 
4.0%
cdfh3301262003000001 1
 
4.0%
cdfh3301262002000001 1
 
4.0%
Other values (15) 15
60.0%
2024-04-06T21:15:29.188519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 165
33.0%
1 64
 
12.8%
3 56
 
11.2%
2 44
 
8.8%
9 34
 
6.8%
C 25
 
5.0%
D 25
 
5.0%
F 25
 
5.0%
H 25
 
5.0%
6 25
 
5.0%
Other values (3) 12
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 165
41.2%
1 64
 
16.0%
3 56
 
14.0%
2 44
 
11.0%
9 34
 
8.5%
6 25
 
6.2%
4 8
 
2.0%
5 3
 
0.8%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 25
25.0%
D 25
25.0%
F 25
25.0%
H 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 165
41.2%
1 64
 
16.0%
3 56
 
14.0%
2 44
 
11.0%
9 34
 
8.5%
6 25
 
6.2%
4 8
 
2.0%
5 3
 
0.8%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
C 25
25.0%
D 25
25.0%
F 25
25.0%
H 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 165
33.0%
1 64
 
12.8%
3 56
 
11.2%
2 44
 
8.8%
9 34
 
6.8%
C 25
 
5.0%
D 25
 
5.0%
F 25
 
5.0%
H 25
 
5.0%
6 25
 
5.0%
Other values (3) 12
 
2.4%

인허가일자
Date

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1991-04-20 00:00:00
Maximum2022-06-15 00:00:00
2024-04-06T21:15:29.433167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:29.736499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
16 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
64.0%
3 9
36.0%

Length

2024-04-06T21:15:29.932436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:30.099198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
64.0%
3 9
36.0%

영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
16 
폐업
9 

Length

Max length5
Median length5
Mean length3.92
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
64.0%
폐업 9
36.0%

Length

2024-04-06T21:15:30.309763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:30.517232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
64.0%
폐업 9
36.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
16 
3
9 

Length

Max length2
Median length2
Mean length1.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 16
64.0%
3 9
36.0%

Length

2024-04-06T21:15:30.724142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:30.904883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
64.0%
3 9
36.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
16 
폐업
9 

Length

Max length3
Median length3
Mean length2.64
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
64.0%
폐업 9
36.0%

Length

2024-04-06T21:15:31.099866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:31.391903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
64.0%
폐업 9
36.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing16
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean20060709
Minimum19990501
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:15:31.732541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990501
5-th percentile19990667
Q120010928
median20060515
Q320090407
95-th percentile20163231
Maximum20211231
Range220730
Interquartile range (IQR)79479

Descriptive statistics

Standard deviation68713.719
Coefficient of variation (CV)0.0034252887
Kurtosis2.27746
Mean20060709
Median Absolute Deviation (MAD)30716
Skewness1.3019096
Sum1.8054638 × 108
Variance4.7215752 × 109
MonotonicityNot monotonic
2024-04-06T21:15:32.011434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20090407 1
 
4.0%
19990915 1
 
4.0%
19990501 1
 
4.0%
20010928 1
 
4.0%
20060515 1
 
4.0%
20030226 1
 
4.0%
20091231 1
 
4.0%
20070425 1
 
4.0%
20211231 1
 
4.0%
(Missing) 16
64.0%
ValueCountFrequency (%)
19990501 1
4.0%
19990915 1
4.0%
20010928 1
4.0%
20030226 1
4.0%
20060515 1
4.0%
20070425 1
4.0%
20090407 1
4.0%
20091231 1
4.0%
20211231 1
4.0%
ValueCountFrequency (%)
20211231 1
4.0%
20091231 1
4.0%
20090407 1
4.0%
20070425 1
4.0%
20060515 1
4.0%
20030226 1
4.0%
20010928 1
4.0%
19990915 1
4.0%
19990501 1
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct23
Distinct (%)95.8%
Missing1
Missing (%)4.0%
Memory size332.0 B
2024-04-06T21:15:32.424709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.0833333
Min length8

Characters and Unicode

Total characters218
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row526-9434
2nd row533-6303
3rd row580-8234
4th row580-8234
5th row543-1001
ValueCountFrequency (%)
580-8234 2
 
8.3%
3470-0603 1
 
4.2%
595-8545 1
 
4.2%
02-3462-1600 1
 
4.2%
02-6200-7300 1
 
4.2%
031-780-7673 1
 
4.2%
535-2601~2 1
 
4.2%
02-6710-1808 1
 
4.2%
3487-9933 1
 
4.2%
556-3624 1
 
4.2%
Other values (13) 13
54.2%
2024-04-06T21:15:33.072420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 32
14.7%
0 30
13.8%
- 29
13.3%
2 26
11.9%
5 24
11.0%
6 20
9.2%
8 14
6.4%
4 13
6.0%
9 10
 
4.6%
7 10
 
4.6%
Other values (2) 10
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 188
86.2%
Dash Punctuation 29
 
13.3%
Math Symbol 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 32
17.0%
0 30
16.0%
2 26
13.8%
5 24
12.8%
6 20
10.6%
8 14
7.4%
4 13
6.9%
9 10
 
5.3%
7 10
 
5.3%
1 9
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 32
14.7%
0 30
13.8%
- 29
13.3%
2 26
11.9%
5 24
11.0%
6 20
9.2%
8 14
6.4%
4 13
6.0%
9 10
 
4.6%
7 10
 
4.6%
Other values (2) 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 32
14.7%
0 30
13.8%
- 29
13.3%
2 26
11.9%
5 24
11.0%
6 20
9.2%
8 14
6.4%
4 13
6.0%
9 10
 
4.6%
7 10
 
4.6%
Other values (2) 10
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing4
Missing (%)16.0%
Memory size332.0 B
2024-04-06T21:15:33.380981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.047619
Min length6

Characters and Unicode

Total characters127
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

Unique17 ?
Unique (%)81.0%

Sample

1st row137893
2nd row137800
3rd row137857
4th row137857
5th row137902
ValueCountFrequency (%)
137902 2
 
9.5%
137857 2
 
9.5%
137130 1
 
4.8%
137811 1
 
4.8%
137837 1
 
4.8%
137867 1
 
4.8%
137855 1
 
4.8%
137713 1
 
4.8%
137-880 1
 
4.8%
137804 1
 
4.8%
Other values (9) 9
42.9%
2024-04-06T21:15:33.916670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 28
22.0%
3 27
21.3%
1 26
20.5%
8 18
14.2%
0 11
 
8.7%
9 5
 
3.9%
5 5
 
3.9%
2 3
 
2.4%
6 2
 
1.6%
4 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
99.2%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 28
22.2%
3 27
21.4%
1 26
20.6%
8 18
14.3%
0 11
 
8.7%
9 5
 
4.0%
5 5
 
4.0%
2 3
 
2.4%
6 2
 
1.6%
4 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 127
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 28
22.0%
3 27
21.3%
1 26
20.5%
8 18
14.2%
0 11
 
8.7%
9 5
 
3.9%
5 5
 
3.9%
2 3
 
2.4%
6 2
 
1.6%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 28
22.0%
3 27
21.3%
1 26
20.5%
8 18
14.2%
0 11
 
8.7%
9 5
 
3.9%
5 5
 
3.9%
2 3
 
2.4%
6 2
 
1.6%
4 1
 
0.8%

지번주소
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:15:34.325036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length23.68
Min length19

Characters and Unicode

Total characters592
Distinct characters69
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 서초구 양재동 202-0번지
2nd row서울특별시 서초구 반포동 12-0번지
3rd row서울특별시 서초구 서초동 1324-2
4th row서울특별시 서초구 서초동 1324-14
5th row서울특별시 서초구 잠원동 6-1번지
ValueCountFrequency (%)
서울특별시 25
22.5%
서초구 25
22.5%
서초동 7
 
6.3%
반포동 6
 
5.4%
양재동 4
 
3.6%
방배동 3
 
2.7%
잠원동 2
 
1.8%
6-1번지 2
 
1.8%
852-14 1
 
0.9%
방배열린문화센터 1
 
0.9%
Other values (35) 35
31.5%
2024-04-06T21:15:34.949174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
17.7%
서 58
 
9.8%
초 33
 
5.6%
1 29
 
4.9%
동 26
 
4.4%
특 25
 
4.2%
별 25
 
4.2%
시 25
 
4.2%
구 25
 
4.2%
울 25
 
4.2%
Other values (59) 216
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
60.0%
Decimal Number 108
 
18.2%
Space Separator 105
 
17.7%
Dash Punctuation 21
 
3.5%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
16.3%
초 33
9.3%
동 26
 
7.3%
특 25
 
7.0%
별 25
 
7.0%
시 25
 
7.0%
구 25
 
7.0%
울 25
 
7.0%
지 20
 
5.6%
번 16
 
4.5%
Other values (45) 77
21.7%
Decimal Number
ValueCountFrequency (%)
1 29
26.9%
2 20
18.5%
4 14
13.0%
6 10
 
9.3%
5 9
 
8.3%
0 8
 
7.4%
3 7
 
6.5%
7 6
 
5.6%
9 3
 
2.8%
8 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
60.0%
Common 237
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
16.3%
초 33
9.3%
동 26
 
7.3%
특 25
 
7.0%
별 25
 
7.0%
시 25
 
7.0%
구 25
 
7.0%
울 25
 
7.0%
지 20
 
5.6%
번 16
 
4.5%
Other values (45) 77
21.7%
Common
ValueCountFrequency (%)
105
44.3%
1 29
 
12.2%
- 21
 
8.9%
2 20
 
8.4%
4 14
 
5.9%
6 10
 
4.2%
5 9
 
3.8%
0 8
 
3.4%
3 7
 
3.0%
7 6
 
2.5%
Other values (4) 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
60.0%
ASCII 237
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
44.3%
1 29
 
12.2%
- 21
 
8.9%
2 20
 
8.4%
4 14
 
5.9%
6 10
 
4.2%
5 9
 
3.8%
0 8
 
3.4%
3 7
 
3.0%
7 6
 
2.5%
Other values (4) 8
 
3.4%
Hangul
ValueCountFrequency (%)
서 58
16.3%
초 33
9.3%
동 26
 
7.3%
특 25
 
7.0%
별 25
 
7.0%
시 25
 
7.0%
구 25
 
7.0%
울 25
 
7.0%
지 20
 
5.6%
번 16
 
4.5%
Other values (45) 77
21.7%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing2
Missing (%)8.0%
Memory size332.0 B
2024-04-06T21:15:35.350186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length28.086957
Min length22

Characters and Unicode

Total characters646
Distinct characters90
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row서울특별시 서초구 바우뫼로12길 70 (양재동)
2nd row서울특별시 서초구 서초대로70길 32 (서초동)
3rd row서울특별시 서초구 서초대로70길 32 (서초동)
4th row서울특별시 서초구 강남대로107길 6 (잠원동)
5th row서울특별시 서초구 반포대로 22 (서초동)
ValueCountFrequency (%)
서울특별시 23
18.5%
서초구 23
18.5%
서초동 6
 
4.8%
양재동 4
 
3.2%
반포동 4
 
3.2%
방배동 3
 
2.4%
방배로 3
 
2.4%
12 2
 
1.6%
32 2
 
1.6%
강남대로107길 2
 
1.6%
Other values (48) 52
41.9%
2024-04-06T21:15:35.982358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
16.7%
서 59
 
9.1%
초 35
 
5.4%
) 24
 
3.7%
동 24
 
3.7%
( 24
 
3.7%
특 23
 
3.6%
별 23
 
3.6%
시 23
 
3.6%
구 23
 
3.6%
Other values (80) 280
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
61.3%
Space Separator 108
 
16.7%
Decimal Number 80
 
12.4%
Close Punctuation 24
 
3.7%
Open Punctuation 24
 
3.7%
Other Punctuation 10
 
1.5%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 59
14.9%
초 35
 
8.8%
동 24
 
6.1%
특 23
 
5.8%
별 23
 
5.8%
시 23
 
5.8%
구 23
 
5.8%
울 23
 
5.8%
로 22
 
5.6%
대 11
 
2.8%
Other values (65) 130
32.8%
Decimal Number
ValueCountFrequency (%)
1 19
23.8%
2 14
17.5%
7 12
15.0%
6 8
10.0%
0 7
 
8.8%
4 6
 
7.5%
5 5
 
6.2%
3 5
 
6.2%
8 3
 
3.8%
9 1
 
1.2%
Space Separator
ValueCountFrequency (%)
108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
61.3%
Common 250
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 59
14.9%
초 35
 
8.8%
동 24
 
6.1%
특 23
 
5.8%
별 23
 
5.8%
시 23
 
5.8%
구 23
 
5.8%
울 23
 
5.8%
로 22
 
5.6%
대 11
 
2.8%
Other values (65) 130
32.8%
Common
ValueCountFrequency (%)
108
43.2%
) 24
 
9.6%
( 24
 
9.6%
1 19
 
7.6%
2 14
 
5.6%
7 12
 
4.8%
, 10
 
4.0%
6 8
 
3.2%
0 7
 
2.8%
4 6
 
2.4%
Other values (5) 18
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
61.3%
ASCII 250
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
43.2%
) 24
 
9.6%
( 24
 
9.6%
1 19
 
7.6%
2 14
 
5.6%
7 12
 
4.8%
, 10
 
4.0%
6 8
 
3.2%
0 7
 
2.8%
4 6
 
2.4%
Other values (5) 18
 
7.2%
Hangul
ValueCountFrequency (%)
서 59
14.9%
초 35
 
8.8%
동 24
 
6.1%
특 23
 
5.8%
별 23
 
5.8%
시 23
 
5.8%
구 23
 
5.8%
울 23
 
5.8%
로 22
 
5.6%
대 11
 
2.8%
Other values (65) 130
32.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing14
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean30541.364
Minimum6524
Maximum137867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:15:36.217661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6524
5-th percentile6548
Q16623
median6765
Q36802.5
95-th percentile137848.5
Maximum137867
Range131343
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation53054.159
Coefficient of variation (CV)1.7371248
Kurtosis2.0370031
Mean30541.364
Median Absolute Deviation (MAD)142
Skewness1.9227028
Sum335955
Variance2.8147438 × 109
MonotonicityNot monotonic
2024-04-06T21:15:36.428482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6623 2
 
8.0%
6749 1
 
4.0%
137830 1
 
4.0%
137867 1
 
4.0%
6524 1
 
4.0%
6572 1
 
4.0%
6803 1
 
4.0%
6802 1
 
4.0%
6765 1
 
4.0%
6797 1
 
4.0%
(Missing) 14
56.0%
ValueCountFrequency (%)
6524 1
4.0%
6572 1
4.0%
6623 2
8.0%
6749 1
4.0%
6765 1
4.0%
6797 1
4.0%
6802 1
4.0%
6803 1
4.0%
137830 1
4.0%
137867 1
4.0%
ValueCountFrequency (%)
137867 1
4.0%
137830 1
4.0%
6803 1
4.0%
6802 1
4.0%
6797 1
4.0%
6765 1
4.0%
6749 1
4.0%
6623 2
8.0%
6572 1
4.0%
6524 1
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T21:15:36.826037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length10.44
Min length4

Characters and Unicode

Total characters261
Distinct characters100
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row서울교육문화회관
2nd row주)피에스레저스포츠
3rd row코오롱글로벌(주)스포렉스 서초점(본관)
4th row코오롱글로벌(주)스포렉스 서초점(신관)
5th row(주)호텔리버사이드
ValueCountFrequency (%)
코오롱글로벌(주)스포렉스 4
 
11.8%
서울교육문화회관 1
 
2.9%
코웰스포츠 1
 
2.9%
하이디하우스 1
 
2.9%
종합체육시설 1
 
2.9%
청계산호텔 1
 
2.9%
오라카이 1
 
2.9%
양재점 1
 
2.9%
방배점 1
 
2.9%
더리버사이드호텔 1
 
2.9%
Other values (21) 21
61.8%
2024-04-06T21:15:37.561127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 22
 
8.4%
포 14
 
5.4%
) 10
 
3.8%
( 9
 
3.4%
9
 
3.4%
주 9
 
3.4%
이 7
 
2.7%
츠 6
 
2.3%
점 6
 
2.3%
코 5
 
1.9%
Other values (90) 164
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
89.3%
Close Punctuation 10
 
3.8%
Open Punctuation 9
 
3.4%
Space Separator 9
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 22
 
9.4%
포 14
 
6.0%
주 9
 
3.9%
이 7
 
3.0%
츠 6
 
2.6%
점 6
 
2.6%
코 5
 
2.1%
오 5
 
2.1%
로 4
 
1.7%
렉 4
 
1.7%
Other values (87) 151
64.8%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
89.3%
Common 28
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 22
 
9.4%
포 14
 
6.0%
주 9
 
3.9%
이 7
 
3.0%
츠 6
 
2.6%
점 6
 
2.6%
코 5
 
2.1%
오 5
 
2.1%
로 4
 
1.7%
렉 4
 
1.7%
Other values (87) 151
64.8%
Common
ValueCountFrequency (%)
) 10
35.7%
( 9
32.1%
9
32.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
89.3%
ASCII 28
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 22
 
9.4%
포 14
 
6.0%
주 9
 
3.9%
이 7
 
3.0%
츠 6
 
2.6%
점 6
 
2.6%
코 5
 
2.1%
오 5
 
2.1%
로 4
 
1.7%
렉 4
 
1.7%
Other values (87) 151
64.8%
ASCII
ValueCountFrequency (%)
) 10
35.7%
( 9
32.1%
9
32.1%

최종수정일자
Date

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2003-04-18 11:31:26
Maximum2023-02-13 16:01:37
2024-04-06T21:15:37.792565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:38.097800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
16 
U
9 

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 16
64.0%
U 9
36.0%

Length

2024-04-06T21:15:38.352541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:38.649699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 16
64.0%
u 9
36.0%

데이터갱신일자
Categorical

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2018-08-31 23:59:59.0
14 
2021-12-03 22:01:00.0
3 
2022-01-08 02:40:00.0
 
1
2022-12-01 23:05:00.0
 
1
2020-04-02 02:40:00.0
 
1
Other values (5)
5 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2021-12-03 22:01:00.0
4th row2021-12-03 22:01:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 14
56.0%
2021-12-03 22:01:00.0 3
 
12.0%
2022-01-08 02:40:00.0 1
 
4.0%
2022-12-01 23:05:00.0 1
 
4.0%
2020-04-02 02:40:00.0 1
 
4.0%
2021-12-08 00:07:00.0 1
 
4.0%
2022-01-02 02:40:00.0 1
 
4.0%
2019-05-25 02:20:54.0 1
 
4.0%
2021-12-31 02:40:00.0 1
 
4.0%
2021-12-05 23:07:00.0 1
 
4.0%

Length

2024-04-06T21:15:38.893958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:39.097275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 14
28.0%
23:59:59.0 14
28.0%
02:40:00.0 4
 
8.0%
2021-12-03 3
 
6.0%
22:01:00.0 3
 
6.0%
2022-01-02 1
 
2.0%
2021-12-05 1
 
2.0%
2021-12-31 1
 
2.0%
02:20:54.0 1
 
2.0%
2019-05-25 1
 
2.0%
Other values (7) 7
14.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201351.74
Minimum198791.79
Maximum204783.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:15:39.333683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198791.79
5-th percentile199116.21
Q1200071.61
median201530.48
Q3201996.38
95-th percentile203818.71
Maximum204783.61
Range5991.8245
Interquartile range (IQR)1924.776

Descriptive statistics

Standard deviation1667.248
Coefficient of variation (CV)0.0082802758
Kurtosis-0.74553413
Mean201351.74
Median Absolute Deviation (MAD)1302.7861
Skewness0.25355262
Sum5033793.6
Variance2779715.8
MonotonicityNot monotonic
2024-04-06T21:15:39.651777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
201530.475526772 2
 
8.0%
202833.261653939 1
 
4.0%
203847.029537103 1
 
4.0%
203705.426304066 1
 
4.0%
201851.907365758 1
 
4.0%
204783.612470826 1
 
4.0%
203633.72843558 1
 
4.0%
199250.378045845 1
 
4.0%
201347.665918617 1
 
4.0%
201856.625065785 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
198791.788015494 1
4.0%
199106.271025753 1
4.0%
199155.94319235 1
4.0%
199250.378045845 1
4.0%
199367.291009454 1
4.0%
199898.194565912 1
4.0%
200071.607598216 1
4.0%
200245.053119318 1
4.0%
200250.447804795 1
4.0%
200826.536579375 1
4.0%
ValueCountFrequency (%)
204783.612470826 1
4.0%
203847.029537103 1
4.0%
203705.426304066 1
4.0%
203633.72843558 1
4.0%
203028.520902327 1
4.0%
202833.261653939 1
4.0%
201996.383632718 1
4.0%
201993.714242549 1
4.0%
201856.625065785 1
4.0%
201851.907365758 1
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442888.45
Minimum438520.18
Maximum446268.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T21:15:39.881605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438520.18
5-th percentile439760.93
Q1441707.82
median443284.17
Q3444392.67
95-th percentile445951.28
Maximum446268.29
Range7748.1123
Interquartile range (IQR)2684.8532

Descriptive statistics

Standard deviation1972.9007
Coefficient of variation (CV)0.0044546222
Kurtosis-0.24119404
Mean442888.45
Median Absolute Deviation (MAD)1218.4653
Skewness-0.36918362
Sum11072211
Variance3892337.3
MonotonicityNot monotonic
2024-04-06T21:15:40.086718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
446268.294338007 2
 
8.0%
440511.561175378 1
 
4.0%
441707.819305687 1
 
4.0%
440222.152896766 1
 
4.0%
440538.66418347 1
 
4.0%
438520.182013694 1
 
4.0%
439645.62001111 1
 
4.0%
442973.400332687 1
 
4.0%
442312.725051308 1
 
4.0%
444502.636699224 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
438520.182013694 1
4.0%
439645.62001111 1
4.0%
440222.152896766 1
4.0%
440511.561175378 1
4.0%
440538.66418347 1
4.0%
441553.175701974 1
4.0%
441707.819305687 1
4.0%
442298.468220422 1
4.0%
442302.889340581 1
4.0%
442312.725051308 1
4.0%
ValueCountFrequency (%)
446268.294338007 2
8.0%
444683.220506107 1
4.0%
444618.275228343 1
4.0%
444530.367230862 1
4.0%
444502.636699224 1
4.0%
444392.672548989 1
4.0%
444240.21711088 1
4.0%
444069.63527203 1
4.0%
443517.33412224 1
4.0%
443467.016326339 1
4.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)
03210000CDFH330126199100000119910420<NA>3폐업3폐업20090407<NA><NA><NA>526-9434<NA>137893서울특별시 서초구 양재동 202-0번지서울특별시 서초구 바우뫼로12길 70 (양재동)<NA>서울교육문화회관2009-04-07 15:49:15I2018-08-31 23:59:59.0<NA>202833.261654440511.561175
13210000CDFH330126199100000219910704<NA>3폐업3폐업19990915<NA><NA><NA>533-6303<NA>137800서울특별시 서초구 반포동 12-0번지<NA><NA>주)피에스레저스포츠2014-04-16 10:45:19I2018-08-31 23:59:59.0<NA>199367.291009444618.275228
23210000CDFH330126199100000319910704<NA>1영업/정상13영업중<NA><NA><NA><NA>580-8234<NA>137857서울특별시 서초구 서초동 1324-2서울특별시 서초구 서초대로70길 32 (서초동)6623코오롱글로벌(주)스포렉스 서초점(본관)2022-04-19 17:28:57U2021-12-03 22:01:00.0<NA>201996.383633443517.334122
33210000CDFH330126199100000419910704<NA>1영업/정상13영업중<NA><NA><NA><NA>580-8234<NA>137857서울특별시 서초구 서초동 1324-14서울특별시 서초구 서초대로70길 32 (서초동)6623코오롱글로벌(주)스포렉스 서초점(신관)2022-04-19 17:31:41U2021-12-03 22:01:00.0<NA>201993.714243443438.041141
43210000CDFH330126199100000519910704<NA>3폐업3폐업19990501<NA><NA><NA>543-1001<NA>137902서울특별시 서초구 잠원동 6-1번지서울특별시 서초구 강남대로107길 6 (잠원동)<NA>(주)호텔리버사이드2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>201530.475527446268.294338
53210000CDFH330126199200000119920201<NA>1영업/정상13영업중<NA><NA><NA><NA>2258-8600<NA>137927서울특별시 서초구 서초동 1451-34서울특별시 서초구 반포대로 22 (서초동)<NA>평화스포웰빙2022-01-06 15:56:39U2022-01-08 02:40:00.0<NA>201055.049082442298.46822
63210000CDFH330126199400000119940222<NA>1영업/정상13영업중<NA><NA><NA><NA>526-0335<NA>137889서울특별시 서초구 양재동 24번지서울특별시 서초구 강남대로 213 (양재동)6749스포타임2012-04-05 10:37:19I2018-08-31 23:59:59.0<NA>203028.520902442302.889341
73210000CDFH330126199400000219940730<NA>3폐업3폐업20010928<NA><NA><NA>595-5288<NA>137803서울특별시 서초구 반포동 55-2번지서울특별시 서초구 고무래로 18-4 (반포동)<NA>우주에스엘씨2003-04-18 11:31:26I2018-08-31 23:59:59.0<NA>200826.536579444530.367231
83210000CDFH330126199400000319940823<NA>1영업/정상13영업중<NA><NA><NA><NA>597-3232<NA>137870서울특별시 서초구 서초동 1490-25번지 외 4서울특별시 서초구 명달로 65 (서초동,외 4)<NA>일흥스포타운2010-11-18 14:36:14I2018-08-31 23:59:59.0<NA>200245.053119442344.440383
93210000CDFH330126199400000419940927<NA>1영업/정상13영업중<NA><NA><NA><NA>597-3303<NA>137851서울특별시 서초구 방배동 1025-2번지서울특별시 서초구 방배로 12 (방배동)<NA>방배현대스포츠클럽2014-01-16 17:36:25I2018-08-31 23:59:59.0<NA>200071.607598441553.175702
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)
153210000CDFH33012620000000012000-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA>3470-0603<NA>137-880서울특별시 서초구 서초동 1645-0서울특별시 서초구 서초대로64길 76-21 (서초동)<NA>삼성라이온즈레포츠센터2023-02-13 16:01:37U2022-12-01 23:05:00.0<NA>201836.199767443284.171449
163210000CDFH330126200200000120021113<NA>1영업/정상13영업중<NA><NA><NA><NA>6282-6322<NA>137713서울특별시 서초구 반포동 19-3번지서울특별시 서초구 신반포로 176 (반포동)<NA>마르퀴스휘트니스클럽2020-03-31 10:02:21U2020-04-02 02:40:00.0<NA>200250.447805444683.220506
173210000CDFH330126200300000120030324<NA>3폐업3폐업20070425<NA><NA><NA>556-3624<NA>137855서울특별시 서초구 서초동 1302-2번지서울특별시 서초구 서운로 220 (서초동)<NA>대지스포츠프라자2007-04-25 17:05:16I2018-08-31 23:59:59.0<NA>201856.625066444502.636699
183210000CDFH330126200400000120040218<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
193210000CDFH330126201300000120130412<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6710-1808<NA>137902서울특별시 서초구 잠원동 6-1번지서울특별시 서초구 강남대로107길 6 (잠원동)6524(주)가우플랜 더리버사이드호텔2015-07-07 17:48:41I2018-08-31 23:59:59.0<NA>201530.475527446268.294338
203210000CDFH330126201300000220131030<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
213210000CDFH330126201800000120181105<NA>3폐업3폐업20211231<NA><NA><NA>031-780-7673<NA><NA>서울특별시 서초구 원지동 28 서초종합체육관서울특별시 서초구 양재대로12길 73-48, 서초종합체육관 (원지동)6803코오롱글로벌(주)스포렉스 양재점2021-12-31 15:04:17U2022-01-02 02:40:00.0<NA>203633.728436439645.620011
223210000CDFH330126201900000120190523<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6200-7300<NA><NA>서울특별시 서초구 신원동 271-21번지 오라카이 청계산호텔서울특별시 서초구 청계산로9길 1-7, 오라카이 청계산호텔 (신원동)6802오라카이 청계산호텔 종합체육시설2019-05-23 18:08:52I2019-05-25 02:20:54.0<NA>204783.612471438520.182014
233210000CDFH330126202100000120210811<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3462-1600<NA><NA>서울특별시 서초구 우면동 671 하이디하우스서울특별시 서초구 성촌4길 11, 하이디하우스 (우면동)6765하이디하우스2021-12-29 09:45:55U2021-12-31 02:40:00.0<NA>201851.907366440538.664183
243210000CDFH330126202200000120220615<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