Overview

Dataset statistics

Number of variables34
Number of observations23
Missing cells152
Missing cells (%)19.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory298.7 B

Variable types

Categorical15
Text5
DateTime3
Unsupported5
Numeric6

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),의료유사업종별명,종업원수,자격증소유자수,보조종업원수,시설관리자수,기타종업원수,병상수,욕실면적,총면적
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16377/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
자격증소유자수 is highly imbalanced (57.4%)Imbalance
보조종업원수 is highly imbalanced (57.4%)Imbalance
시설관리자수 is highly imbalanced (57.4%)Imbalance
기타종업원수 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 9 (39.1%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 4 (17.4%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 13 (56.5%) missing valuesMissing
도로명우편번호 has 5 (21.7%) missing valuesMissing
총면적 has 6 (26.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 01:15:43.205106
Analysis finished2024-05-11 01:15:44.231253
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3190000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 23
100.0%

Length

2024-05-11T01:15:44.864712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:45.346392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T01:15:46.136328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters575
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowPHMB420043190033042400001
2nd rowPHMB420063190033042400001
3rd rowPHMB420093190033042400001
4th rowPHMB420103190033042400001
5th rowPHMB420103190033042400002
ValueCountFrequency (%)
phmb420043190033042400001 1
 
4.3%
phmb420143190033042400001 1
 
4.3%
phmb420223190033042400002 1
 
4.3%
phmb420223190033042400001 1
 
4.3%
phmb420193190033042400001 1
 
4.3%
phmb420173190033042400002 1
 
4.3%
phmb420173190033042400001 1
 
4.3%
phmb420163190033042400003 1
 
4.3%
phmb420163190033042400002 1
 
4.3%
phmb420163190033042400001 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T01:15:47.792452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
33.0%
3 73
 
12.7%
4 72
 
12.5%
2 61
 
10.6%
1 55
 
9.6%
9 25
 
4.3%
P 23
 
4.0%
H 23
 
4.0%
M 23
 
4.0%
B 23
 
4.0%
Other values (3) 7
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 483
84.0%
Uppercase Letter 92
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
39.3%
3 73
 
15.1%
4 72
 
14.9%
2 61
 
12.6%
1 55
 
11.4%
9 25
 
5.2%
6 4
 
0.8%
7 2
 
0.4%
5 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 23
25.0%
H 23
25.0%
M 23
25.0%
B 23
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 483
84.0%
Latin 92
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
39.3%
3 73
 
15.1%
4 72
 
14.9%
2 61
 
12.6%
1 55
 
11.4%
9 25
 
5.2%
6 4
 
0.8%
7 2
 
0.4%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
P 23
25.0%
H 23
25.0%
M 23
25.0%
B 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
33.0%
3 73
 
12.7%
4 72
 
12.5%
2 61
 
10.6%
1 55
 
9.6%
9 25
 
4.3%
P 23
 
4.0%
H 23
 
4.0%
M 23
 
4.0%
B 23
 
4.0%
Other values (3) 7
 
1.2%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2004-09-13 00:00:00
Maximum2023-10-16 00:00:00
2024-05-11T01:15:48.448889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:49.166179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
14 
1
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
60.9%
1 9
39.1%

Length

2024-05-11T01:15:49.793691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:50.254070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
60.9%
1 9
39.1%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
14 
영업/정상
9 

Length

Max length5
Median length2
Mean length3.173913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
60.9%
영업/정상 9
39.1%

Length

2024-05-11T01:15:50.625402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:51.071219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
60.9%
영업/정상 9
39.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
14 
13
9 

Length

Max length2
Median length1
Mean length1.3913043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
60.9%
13 9
39.1%

Length

2024-05-11T01:15:51.564718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:51.917928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
60.9%
13 9
39.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
14 
영업중
9 

Length

Max length3
Median length2
Mean length2.3913043
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
60.9%
영업중 9
39.1%

Length

2024-05-11T01:15:52.445886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:52.799410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
60.9%
영업중 9
39.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing9
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean20162868
Minimum20101004
Maximum20221227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T01:15:53.177216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20101004
5-th percentile20107057
Q120115854
median20170966
Q320198232
95-th percentile20220513
Maximum20221227
Range120223
Interquartile range (IQR)82377.5

Descriptive statistics

Standard deviation43658.894
Coefficient of variation (CV)0.0021653117
Kurtosis-1.5390065
Mean20162868
Median Absolute Deviation (MAD)39595
Skewness-0.13682344
Sum2.8228015 × 108
Variance1.906099 × 109
MonotonicityNot monotonic
2024-05-11T01:15:53.635038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20110316 1
 
4.3%
20110412 1
 
4.3%
20101004 1
 
4.3%
20200904 1
 
4.3%
20110831 1
 
4.3%
20130924 1
 
4.3%
20220128 1
 
4.3%
20170725 1
 
4.3%
20151116 1
 
4.3%
20221227 1
 
4.3%
Other values (4) 4
17.4%
(Missing) 9
39.1%
ValueCountFrequency (%)
20101004 1
4.3%
20110316 1
4.3%
20110412 1
4.3%
20110831 1
4.3%
20130924 1
4.3%
20151116 1
4.3%
20170725 1
4.3%
20171206 1
4.3%
20181031 1
4.3%
20190215 1
4.3%
ValueCountFrequency (%)
20221227 1
4.3%
20220128 1
4.3%
20210114 1
4.3%
20200904 1
4.3%
20190215 1
4.3%
20181031 1
4.3%
20171206 1
4.3%
20170725 1
4.3%
20151116 1
4.3%
20130924 1
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing4
Missing (%)17.4%
Memory size316.0 B
2024-05-11T01:15:54.327603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.4736842
Min length8

Characters and Unicode

Total characters180
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 (%)89.5%

Sample

1st row814-5114
2nd row522-7708
3rd row585-0238
4th row070-4129-3151
5th row564-7579
ValueCountFrequency (%)
02-821-0300 2
 
10.5%
522-7708 1
 
5.3%
814-5114 1
 
5.3%
070-8728-7579 1
 
5.3%
3432-8852 1
 
5.3%
582-8275 1
 
5.3%
537-7806 1
 
5.3%
070-5055-1887 1
 
5.3%
595-3375 1
 
5.3%
814-5516 1
 
5.3%
Other values (8) 8
42.1%
2024-05-11T01:15:55.473930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
14.4%
8 26
14.4%
5 26
14.4%
0 21
11.7%
2 21
11.7%
7 17
9.4%
1 14
7.8%
3 10
 
5.6%
4 7
 
3.9%
9 7
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
85.6%
Dash Punctuation 26
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 26
16.9%
5 26
16.9%
0 21
13.6%
2 21
13.6%
7 17
11.0%
1 14
9.1%
3 10
 
6.5%
4 7
 
4.5%
9 7
 
4.5%
6 5
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 26
14.4%
8 26
14.4%
5 26
14.4%
0 21
11.7%
2 21
11.7%
7 17
9.4%
1 14
7.8%
3 10
 
5.6%
4 7
 
3.9%
9 7
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
14.4%
8 26
14.4%
5 26
14.4%
0 21
11.7%
2 21
11.7%
7 17
9.4%
1 14
7.8%
3 10
 
5.6%
4 7
 
3.9%
9 7
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing13
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean156733.3
Minimum156031
Maximum156859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T01:15:55.867698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156031
5-th percentile156336.55
Q1156804.75
median156820
Q3156823.25
95-th percentile156846.4
Maximum156859
Range828
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation249.77548
Coefficient of variation (CV)0.0015936338
Kurtosis9.338327
Mean156733.3
Median Absolute Deviation (MAD)7.5
Skewness-3.0293596
Sum1567333
Variance62387.789
MonotonicityNot monotonic
2024-05-11T01:15:56.223283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
156821 2
 
8.7%
156801 1
 
4.3%
156824 1
 
4.3%
156710 1
 
4.3%
156816 1
 
4.3%
156859 1
 
4.3%
156831 1
 
4.3%
156031 1
 
4.3%
156819 1
 
4.3%
(Missing) 13
56.5%
ValueCountFrequency (%)
156031 1
4.3%
156710 1
4.3%
156801 1
4.3%
156816 1
4.3%
156819 1
4.3%
156821 2
8.7%
156824 1
4.3%
156831 1
4.3%
156859 1
4.3%
ValueCountFrequency (%)
156859 1
4.3%
156831 1
4.3%
156824 1
4.3%
156821 2
8.7%
156819 1
4.3%
156816 1
4.3%
156801 1
4.3%
156710 1
4.3%
156031 1
4.3%

지번주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T01:15:56.711676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length27.26087
Min length20

Characters and Unicode

Total characters627
Distinct characters73
Distinct categories6 ?
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 동작구 노량진1동 194번지 3호 3층 301호
2nd row서울특별시 동작구 사당4동 268번지 19호 (2층)
3rd row서울특별시 동작구 사당1동 1009번지 25호
4th row서울특별시 동작구 신대방2동 395번지 68호 보라매나산스위트 206호
5th row서울특별시 동작구 사당2동 142번지 4호 2층
ValueCountFrequency (%)
서울특별시 23
 
17.6%
동작구 23
 
17.6%
사당동 5
 
3.8%
상도동 4
 
3.1%
25호 3
 
2.3%
3층 3
 
2.3%
2층 3
 
2.3%
순현빌딩 2
 
1.5%
대방동 2
 
1.5%
478번지 2
 
1.5%
Other values (57) 61
46.6%
2024-05-11T01:15:57.647577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
17.2%
동 47
 
7.5%
2 24
 
3.8%
시 24
 
3.8%
1 24
 
3.8%
서 23
 
3.7%
특 23
 
3.7%
별 23
 
3.7%
작 23
 
3.7%
구 23
 
3.7%
Other values (63) 285
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
60.0%
Decimal Number 135
 
21.5%
Space Separator 108
 
17.2%
Dash Punctuation 4
 
0.6%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
 
12.5%
시 24
 
6.4%
서 23
 
6.1%
특 23
 
6.1%
별 23
 
6.1%
작 23
 
6.1%
구 23
 
6.1%
울 23
 
6.1%
호 20
 
5.3%
번 18
 
4.8%
Other values (49) 129
34.3%
Decimal Number
ValueCountFrequency (%)
2 24
17.8%
1 24
17.8%
4 20
14.8%
3 17
12.6%
5 10
7.4%
0 10
7.4%
7 9
 
6.7%
9 7
 
5.2%
6 7
 
5.2%
8 7
 
5.2%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
60.0%
Common 251
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
 
12.5%
시 24
 
6.4%
서 23
 
6.1%
특 23
 
6.1%
별 23
 
6.1%
작 23
 
6.1%
구 23
 
6.1%
울 23
 
6.1%
호 20
 
5.3%
번 18
 
4.8%
Other values (49) 129
34.3%
Common
ValueCountFrequency (%)
108
43.0%
2 24
 
9.6%
1 24
 
9.6%
4 20
 
8.0%
3 17
 
6.8%
5 10
 
4.0%
0 10
 
4.0%
7 9
 
3.6%
9 7
 
2.8%
6 7
 
2.8%
Other values (4) 15
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
60.0%
ASCII 251
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
43.0%
2 24
 
9.6%
1 24
 
9.6%
4 20
 
8.0%
3 17
 
6.8%
5 10
 
4.0%
0 10
 
4.0%
7 9
 
3.6%
9 7
 
2.8%
6 7
 
2.8%
Other values (4) 15
 
6.0%
Hangul
ValueCountFrequency (%)
동 47
 
12.5%
시 24
 
6.4%
서 23
 
6.1%
특 23
 
6.1%
별 23
 
6.1%
작 23
 
6.1%
구 23
 
6.1%
울 23
 
6.1%
호 20
 
5.3%
번 18
 
4.8%
Other values (49) 129
34.3%

도로명주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T01:15:58.152051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length37
Mean length32.391304
Min length23

Characters and Unicode

Total characters745
Distinct characters79
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 동작구 노량진로 206 (노량진동,3층 301호)
2nd row서울특별시 동작구 사당로14길 7 (사당동,(2층))
3rd row서울특별시 동작구 동작대로17길 11 (사당동)
4th row서울특별시 동작구 보라매로5가길 24, 206호 (신대방동,보라매나산스위트)
5th row서울특별시 동작구 동작대로27다길 37 (사당동,2층)
ValueCountFrequency (%)
서울특별시 23
 
16.1%
동작구 23
 
16.1%
사당동 7
 
4.9%
상도동 5
 
3.5%
3층 4
 
2.8%
4층 3
 
2.1%
노량진로 3
 
2.1%
대방동 3
 
2.1%
6 2
 
1.4%
순현빌딩 2
 
1.4%
Other values (62) 68
47.6%
2024-05-11T01:15:59.108598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.1%
동 55
 
7.4%
작 30
 
4.0%
1 27
 
3.6%
서 24
 
3.2%
시 24
 
3.2%
) 24
 
3.2%
( 24
 
3.2%
, 23
 
3.1%
2 23
 
3.1%
Other values (69) 371
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
58.7%
Space Separator 120
 
16.1%
Decimal Number 112
 
15.0%
Close Punctuation 24
 
3.2%
Open Punctuation 24
 
3.2%
Other Punctuation 23
 
3.1%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 55
 
12.6%
작 30
 
6.9%
서 24
 
5.5%
시 24
 
5.5%
울 23
 
5.3%
구 23
 
5.3%
별 23
 
5.3%
특 23
 
5.3%
로 22
 
5.0%
대 15
 
3.4%
Other values (54) 175
40.0%
Decimal Number
ValueCountFrequency (%)
1 27
24.1%
2 23
20.5%
3 15
13.4%
4 9
 
8.0%
0 9
 
8.0%
5 8
 
7.1%
7 7
 
6.2%
6 6
 
5.4%
9 5
 
4.5%
8 3
 
2.7%
Space Separator
ValueCountFrequency (%)
120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 437
58.7%
Common 308
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 55
 
12.6%
작 30
 
6.9%
서 24
 
5.5%
시 24
 
5.5%
울 23
 
5.3%
구 23
 
5.3%
별 23
 
5.3%
특 23
 
5.3%
로 22
 
5.0%
대 15
 
3.4%
Other values (54) 175
40.0%
Common
ValueCountFrequency (%)
120
39.0%
1 27
 
8.8%
) 24
 
7.8%
( 24
 
7.8%
, 23
 
7.5%
2 23
 
7.5%
3 15
 
4.9%
4 9
 
2.9%
0 9
 
2.9%
5 8
 
2.6%
Other values (5) 26
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
58.7%
ASCII 308
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
39.0%
1 27
 
8.8%
) 24
 
7.8%
( 24
 
7.8%
, 23
 
7.5%
2 23
 
7.5%
3 15
 
4.9%
4 9
 
2.9%
0 9
 
2.9%
5 8
 
2.6%
Other values (5) 26
 
8.4%
Hangul
ValueCountFrequency (%)
동 55
 
12.6%
작 30
 
6.9%
서 24
 
5.5%
시 24
 
5.5%
울 23
 
5.3%
구 23
 
5.3%
별 23
 
5.3%
특 23
 
5.3%
로 22
 
5.0%
대 15
 
3.4%
Other values (54) 175
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing5
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean15314.944
Minimum6928
Maximum156831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T01:15:59.522071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6928
5-th percentile6936.5
Q16963.5
median7000
Q37013
95-th percentile29522.25
Maximum156831
Range149903
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation35317.77
Coefficient of variation (CV)2.3060985
Kurtosis17.999956
Mean15314.944
Median Absolute Deviation (MAD)23
Skewness4.2426333
Sum275669
Variance1.2473449 × 109
MonotonicityNot monotonic
2024-05-11T01:15:59.900542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
7013 3
13.0%
6977 2
 
8.7%
7014 1
 
4.3%
7055 1
 
4.3%
6980 1
 
4.3%
156831 1
 
4.3%
6938 1
 
4.3%
6959 1
 
4.3%
7003 1
 
4.3%
7008 1
 
4.3%
Other values (5) 5
21.7%
(Missing) 5
21.7%
ValueCountFrequency (%)
6928 1
4.3%
6938 1
4.3%
6953 1
4.3%
6954 1
4.3%
6959 1
4.3%
6977 2
8.7%
6980 1
4.3%
6997 1
4.3%
7003 1
4.3%
7008 1
4.3%
ValueCountFrequency (%)
156831 1
 
4.3%
7056 1
 
4.3%
7055 1
 
4.3%
7014 1
 
4.3%
7013 3
13.0%
7008 1
 
4.3%
7003 1
 
4.3%
6997 1
 
4.3%
6980 1
 
4.3%
6977 2
8.7%

사업장명
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T01:16:00.362321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.7391304
Min length5

Characters and Unicode

Total characters155
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row한강안마원
2nd row평강안마원
3rd row동일지압안마원
4th row신평강안마원
5th row이수안마원
ValueCountFrequency (%)
이수안마원 2
 
8.7%
백세건강안마원 2
 
8.7%
참손길지압힐링센터사당안마원 1
 
4.3%
한강안마원 1
 
4.3%
명인지압안마원 1
 
4.3%
학예안마원 1
 
4.3%
보라매지압원 1
 
4.3%
동작약손지압안마원 1
 
4.3%
시원약손안마원 1
 
4.3%
하나안마원 1
 
4.3%
Other values (11) 11
47.8%
2024-05-11T01:16:01.234035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 24
15.5%
안 22
14.2%
마 22
14.2%
지 6
 
3.9%
압 6
 
3.9%
강 6
 
3.9%
손 6
 
3.9%
약 4
 
2.6%
수 3
 
1.9%
건 3
 
1.9%
Other values (45) 53
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
15.5%
안 22
14.2%
마 22
14.2%
지 6
 
3.9%
압 6
 
3.9%
강 6
 
3.9%
손 6
 
3.9%
약 4
 
2.6%
수 3
 
1.9%
건 3
 
1.9%
Other values (45) 53
34.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
15.5%
안 22
14.2%
마 22
14.2%
지 6
 
3.9%
압 6
 
3.9%
강 6
 
3.9%
손 6
 
3.9%
약 4
 
2.6%
수 3
 
1.9%
건 3
 
1.9%
Other values (45) 53
34.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 24
15.5%
안 22
14.2%
마 22
14.2%
지 6
 
3.9%
압 6
 
3.9%
강 6
 
3.9%
손 6
 
3.9%
약 4
 
2.6%
수 3
 
1.9%
건 3
 
1.9%
Other values (45) 53
34.2%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2010-10-04 15:33:59
Maximum2023-10-16 17:56:57
2024-05-11T01:16:01.710829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:16:02.003935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
13 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
56.5%
U 10
43.5%

Length

2024-05-11T01:16:02.360356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:02.661907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
56.5%
u 10
43.5%

데이터갱신일자
Date

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:06:00
2024-05-11T01:16:03.035329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:16:03.289800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
안마원
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 23
100.0%

Length

2024-05-11T01:16:03.687193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:04.107840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 23
100.0%

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196047.32
Minimum192917.97
Maximum198304.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T01:16:04.422726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192917.97
5-th percentile193222.22
Q1194239.77
median195799.62
Q3198193.92
95-th percentile198295.41
Maximum198304.75
Range5386.7842
Interquartile range (IQR)3954.1547

Descriptive statistics

Standard deviation1969.9352
Coefficient of variation (CV)0.010048264
Kurtosis-1.5176785
Mean196047.32
Median Absolute Deviation (MAD)2034.2517
Skewness-0.22904229
Sum4509088.3
Variance3880644.6
MonotonicityNot monotonic
2024-05-11T01:16:04.740514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
197466.429994266 2
 
8.7%
195799.616324107 2
 
8.7%
195388.277452748 1
 
4.3%
193765.364643155 1
 
4.3%
193394.538706062 1
 
4.3%
193379.138912316 1
 
4.3%
194450.938572637 1
 
4.3%
198291.471956676 1
 
4.3%
198187.582960447 1
 
4.3%
198295.843258378 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
192917.968628959 1
4.3%
193204.782207917 1
4.3%
193379.138912316 1
4.3%
193394.538706062 1
4.3%
193765.364643155 1
4.3%
194028.592039336 1
4.3%
194450.938572637 1
4.3%
194893.985955997 1
4.3%
195388.277452748 1
4.3%
195672.456210821 1
4.3%
ValueCountFrequency (%)
198304.7528099 1
4.3%
198295.843258378 1
4.3%
198291.471956676 1
4.3%
198282.134838293 1
4.3%
198201.429164845 1
4.3%
198200.257009144 1
4.3%
198187.582960447 1
4.3%
197466.429994266 2
8.7%
197109.653717322 1
4.3%
196587.030630143 1
4.3%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443593.38
Minimum442280.51
Maximum445665.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T01:16:05.023820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442280.51
5-th percentile442382.25
Q1442570.93
median443951.41
Q3444230.87
95-th percentile445546.64
Maximum445665.83
Range3385.3148
Interquartile range (IQR)1659.9374

Descriptive statistics

Standard deviation1081.9161
Coefficient of variation (CV)0.0024389815
Kurtosis-1.0048113
Mean443593.38
Median Absolute Deviation (MAD)988.04945
Skewness0.38652897
Sum10202648
Variance1170542.4
MonotonicityNot monotonic
2024-05-11T01:16:05.293474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
442382.254334309 2
 
8.7%
443951.405968209 2
 
8.7%
445614.10778982 1
 
4.3%
444213.05976665 1
 
4.3%
444040.843567772 1
 
4.3%
444224.483900958 1
 
4.3%
445665.826651026 1
 
4.3%
443002.284956024 1
 
4.3%
442400.276334751 1
 
4.3%
442507.699069196 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
442280.511853688 1
4.3%
442382.254334309 2
8.7%
442400.276334751 1
4.3%
442426.488892774 1
4.3%
442507.699069196 1
4.3%
442634.167737133 1
4.3%
442666.747459966 1
4.3%
442736.968171897 1
4.3%
443002.284956024 1
4.3%
443168.51356024 1
4.3%
ValueCountFrequency (%)
445665.826651026 1
4.3%
445614.10778982 1
4.3%
444939.455414947 1
4.3%
444799.687826804 1
4.3%
444326.722626849 1
4.3%
444237.257643884 1
4.3%
444224.483900958 1
4.3%
444213.05976665 1
4.3%
444095.390554081 1
4.3%
444040.843567772 1
4.3%

의료유사업종별명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
안마원
17 
<NA>
6 

Length

Max length4
Median length3
Mean length3.2608696
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 17
73.9%
<NA> 6
 
26.1%

Length

2024-05-11T01:16:05.563262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:05.830419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 17
73.9%
na 6
 
26.1%

종업원수
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
11 
<NA>
9 
2
2 
0
 
1

Length

Max length4
Median length1
Mean length2.173913
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 11
47.8%
<NA> 9
39.1%
2 2
 
8.7%
0 1
 
4.3%

Length

2024-05-11T01:16:06.193012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:06.570452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
47.8%
na 9
39.1%
2 2
 
8.7%
0 1
 
4.3%

자격증소유자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T01:16:06.898059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:07.194180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

보조종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T01:16:07.559043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:07.772889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

시설관리자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T01:16:08.060260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:08.378696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

기타종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T01:16:08.727273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:09.058589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

병상수
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
18 
0
3 
1
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.3478261
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
78.3%
0 3
 
13.0%
1 1
 
4.3%
3 1
 
4.3%

Length

2024-05-11T01:16:09.337209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:09.605528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
78.3%
0 3
 
13.0%
1 1
 
4.3%
3 1
 
4.3%

욕실면적
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T01:16:09.986407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:16:10.266289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

총면적
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing6
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean68.63
Minimum39.17
Maximum126.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T01:16:10.446582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.17
5-th percentile42.034
Q151.93
median63.36
Q378.48
95-th percentile106.744
Maximum126.4
Range87.23
Interquartile range (IQR)26.55

Descriptive statistics

Standard deviation23.351251
Coefficient of variation (CV)0.34024844
Kurtosis0.80968711
Mean68.63
Median Absolute Deviation (MAD)13.44
Skewness0.99731453
Sum1166.71
Variance545.2809
MonotonicityNot monotonic
2024-05-11T01:16:10.678519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
45.6 1
 
4.3%
67.54 1
 
4.3%
42.75 1
 
4.3%
39.17 1
 
4.3%
78.48 1
 
4.3%
93.45 1
 
4.3%
76.8 1
 
4.3%
52.0 1
 
4.3%
56.8 1
 
4.3%
51.6 1
 
4.3%
Other values (7) 7
30.4%
(Missing) 6
26.1%
ValueCountFrequency (%)
39.17 1
4.3%
42.75 1
4.3%
45.6 1
4.3%
51.6 1
4.3%
51.93 1
4.3%
52.0 1
4.3%
56.8 1
4.3%
58.78 1
4.3%
63.36 1
4.3%
67.54 1
4.3%
ValueCountFrequency (%)
126.4 1
4.3%
101.83 1
4.3%
93.45 1
4.3%
85.68 1
4.3%
78.48 1
4.3%
76.8 1
4.3%
74.54 1
4.3%
67.54 1
4.3%
63.36 1
4.3%
58.78 1
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
03190000PHMB42004319003304240000120040913<NA>1영업/정상13영업중<NA><NA><NA><NA>814-5114<NA>156801서울특별시 동작구 노량진1동 194번지 3호 3층 301호서울특별시 동작구 노량진로 206 (노량진동,3층 301호)<NA>한강안마원2010-11-05 16:18:08I2018-08-31 23:59:59.0안마원195388.277453445614.10779안마원1<NA><NA><NA><NA><NA><NA>56.8
13190000PHMB42006319003304240000120060331<NA>3폐업3폐업20110316<NA><NA><NA>522-7708<NA>156821서울특별시 동작구 사당4동 268번지 19호 (2층)서울특별시 동작구 사당로14길 7 (사당동,(2층))<NA>평강안마원2011-03-16 13:55:41I2018-08-31 23:59:59.0안마원197466.429994442382.254334안마원1<NA><NA><NA><NA><NA><NA>45.6
23190000PHMB42009319003304240000120090209<NA>1영업/정상13영업중<NA><NA><NA><NA>585-0238<NA>156824서울특별시 동작구 사당1동 1009번지 25호서울특별시 동작구 동작대로17길 11 (사당동)7014동일지압안마원2011-11-04 09:12:04I2018-08-31 23:59:59.0안마원198201.429165442280.511854안마원1<NA><NA><NA><NA>0085.68
33190000PHMB42010319003304240000120100426<NA>3폐업3폐업20110412<NA><NA><NA>070-4129-3151<NA>156710서울특별시 동작구 신대방2동 395번지 68호 보라매나산스위트 206호서울특별시 동작구 보라매로5가길 24, 206호 (신대방동,보라매나산스위트)<NA>신평강안마원2011-04-12 13:39:59I2018-08-31 23:59:59.0안마원193204.782208443168.51356안마원2<NA><NA><NA><NA><NA><NA>63.36
43190000PHMB42010319003304240000220100713<NA>3폐업3폐업20101004<NA><NA><NA>564-7579<NA>156816서울특별시 동작구 사당2동 142번지 4호 2층서울특별시 동작구 동작대로27다길 37 (사당동,2층)<NA>이수안마원2010-10-04 15:33:59I2018-08-31 23:59:59.0안마원198200.257009442634.167737안마원2<NA><NA><NA><NA><NA><NA>101.83
53190000PHMB42010319003304240000320101011<NA>1영업/정상13영업중<NA><NA><NA><NA>825-9988<NA><NA>서울특별시 동작구 대방동 417번지 2호 3층서울특별시 동작구 여의대방로 134-1, 3층 (대방동)7055서울건강안마원2021-10-25 13:09:48U2021-10-27 02:40:00.0안마원192917.968629444095.390554안마원100000051.93
63190000PHMB42011319003304240000120110325<NA>3폐업3폐업20200904<NA><NA><NA>825-0212<NA>156859서울특별시 동작구 흑석동 332번지 222호서울특별시 동작구 서달로 150, 222호 (흑석동, 해가든)6980풀림안마원2020-09-04 16:23:51U2020-09-06 02:40:00.0안마원196587.03063444939.455415안마원1<NA><NA><NA><NA><NA><NA>74.54
73190000PHMB42011319003304240000220110726<NA>3폐업3폐업20110831<NA><NA><NA>02-888-4136<NA>156821서울특별시 동작구 사당4동 268번지 19호 2층서울특별시 동작구 사당로14길 7 (사당동,2층)<NA>후레쉬바디안마원2011-08-31 11:47:42I2018-08-31 23:59:59.0안마원197466.429994442382.254334안마원1<NA><NA><NA><NA><NA><NA>58.78
83190000PHMB42012319003304240000120120110<NA>3폐업3폐업20130924<NA><NA><NA>816-8575<NA>156831서울특별시 동작구 상도2동 26번지 11호 (4층)서울특별시 동작구 상도로 219 (상도동)156831김기중약손플러스안마원2013-09-24 13:41:39I2018-08-31 23:59:59.0안마원194893.985956444799.687827안마원1<NA><NA><NA><NA><NA><NA>51.6
93190000PHMB42012319003304240000220120417<NA>3폐업3폐업20220128<NA><NA><NA>814-5516<NA>156031서울특별시 동작구 상도1동 347번지서울특별시 동작구 노량진로 20-5 (대방동)6938힐링수안마원2022-02-07 09:24:09U2022-02-09 02:40:00.0안마원195672.456211444237.257644안마원1000000126.4
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
133190000PHMB42015319003304240000120150819<NA>3폐업3폐업20151116<NA><NA><NA>537-7806<NA><NA>서울특별시 동작구 사당동 145번지 25호서울특별시 동작구 동작대로25길 9-6, 3층 (사당동)7008이수안마원2015-11-16 11:07:49I2018-08-31 23:59:59.0안마원198282.134838442666.74746안마원1<NA><NA><NA><NA>1<NA>76.8
143190000PHMB42016319003304240000120160104<NA>3폐업3폐업20221227<NA><NA><NA>582-8275<NA><NA>서울특별시 동작구 사당동 147번지 53호 골든시네마타워서울특별시 동작구 동작대로 89, 골든시네마타워 402호 (사당동)7013약손지압안마원2022-12-27 16:20:26U2021-11-01 22:09:00.0안마원198295.843258442507.699069<NA><NA><NA><NA><NA><NA><NA><NA><NA>
153190000PHMB42016319003304240000220161108<NA>3폐업3폐업20171206<NA><NA><NA>3432-8852<NA><NA>서울특별시 동작구 사당동 1006번지 25호 3층서울특별시 동작구 동작대로21길 25, 3층 (사당동)7013하나안마원2017-12-06 13:52:26I2018-08-31 23:59:59.0안마원198187.58296442400.276335안마원0<NA><NA><NA><NA><NA><NA>93.45
163190000PHMB42016319003304240000320161212<NA>3폐업3폐업20190215<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 89번지 20호서울특별시 동작구 동작대로29가길 27, 2층 (사당동)6997시원약손안마원2019-02-15 18:11:40U2019-02-17 02:40:00.0안마원198291.471957443002.284956안마원<NA><NA><NA><NA><NA><NA><NA>78.48
173190000PHMB42017319003304240000120170213<NA>3폐업3폐업20181031<NA><NA><NA>02-821-0300<NA><NA>서울특별시 동작구 상도동 478번지 24호 순현빌딩서울특별시 동작구 상도로53길 6, 순현빌딩 4층 (상도동)6977백세건강안마원2018-10-31 11:18:21U2018-11-02 02:35:50.0안마원195799.616324443951.405968안마원1<NA><NA><NA><NA><NA><NA>39.17
183190000PHMB42017319003304240000220170309<NA>1영업/정상13영업중<NA><NA><NA><NA>02-822-9575<NA><NA>서울특별시 동작구 노량진동 41번지 5호 307호서울특별시 동작구 노량진로 110, 307호 (노량진동)6928동작약손지압안마원2017-03-16 09:45:21I2018-08-31 23:59:59.0안마원194450.938573445665.826651안마원<NA><NA><NA><NA><NA><NA><NA>42.75
193190000PHMB42019319003304240000120191202<NA>3폐업3폐업20210114<NA><NA><NA>02-821-0300<NA><NA>서울특별시 동작구 상도동 478번지 24호 순현빌딩서울특별시 동작구 상도로53길 6, 순현빌딩 4층 (상도동)6977백세건강안마원2021-01-15 16:47:06U2021-01-17 02:40:00.0안마원195799.616324443951.405968안마원<NA><NA><NA><NA><NA>3<NA>67.54
203190000PHMB42022319003304240000120220329<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 395-15 하이빌서울특별시 동작구 대방동1길 15-1, 하이빌 1층 (대방동)6954보라매지압원2022-07-01 09:18:38U2021-12-07 00:03:00.0안마원193379.138912444224.483901<NA><NA><NA><NA><NA><NA><NA><NA><NA>
213190000PHMB42022319003304240000220221223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 724 보라매자이 더 포레스트 상가동 1431호서울특별시 동작구 여의대방로22길 121, 상가동 1431-1호 (신대방동, 보라매자이 더 포레스트)7056학예안마원2022-12-23 10:53:59I2021-11-01 22:05:00.0안마원193394.538706444040.843568<NA><NA><NA><NA><NA><NA><NA><NA><NA>
223190000PHMB4202331900330424000012023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 335-161 효원그린빌서울특별시 동작구 상도로13나길 1, 302호 (상도동, 효원그린빌)6953맑은손안마원2023-10-16 17:56:57I2022-10-30 23:08:00.0안마원193765.364643444213.059767<NA><NA><NA><NA><NA><NA><NA><NA><NA>