Overview

Dataset statistics

Number of variables34
Number of observations31
Missing cells285
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory296.3 B

Variable types

Categorical12
Text5
DateTime3
Unsupported7
Numeric7

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16381/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.4%)Imbalance
영업상태명 is highly imbalanced (52.4%)Imbalance
상세영업상태코드 is highly imbalanced (52.4%)Imbalance
상세영업상태명 is highly imbalanced (52.4%)Imbalance
휴업시작일자 is highly imbalanced (60.9%)Imbalance
휴업종료일자 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
폐업일자 has 5 (16.1%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 2 (6.5%) missing valuesMissing
소재지면적 has 31 (100.0%) missing valuesMissing
소재지우편번호 has 6 (19.4%) missing valuesMissing
지번주소 has 1 (3.2%) missing valuesMissing
도로명주소 has 1 (3.2%) missing valuesMissing
도로명우편번호 has 14 (45.2%) missing valuesMissing
좌표정보(X) has 1 (3.2%) missing valuesMissing
좌표정보(Y) has 1 (3.2%) missing valuesMissing
자격증소유자수 has 31 (100.0%) missing valuesMissing
보조종업원수 has 31 (100.0%) missing valuesMissing
시설관리자수 has 31 (100.0%) missing valuesMissing
기타종업원수 has 31 (100.0%) missing valuesMissing
병상수 has 12 (38.7%) missing valuesMissing
욕실면적 has 20 (64.5%) missing valuesMissing
총면적 has 5 (16.1%) 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
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
자격증소유자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보조종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설관리자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:40:16.542736
Analysis finished2024-05-11 05:40:17.182954
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3230000
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 31
100.0%

Length

2024-05-11T14:40:17.305081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:17.454799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 31
100.0%

관리번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:40:17.768754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters775
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

Unique31 ?
Unique (%)100.0%

Sample

1st rowPHMB419833230034042400001
2nd rowPHMB419893230034042400001
3rd rowPHMB419903230034042400001
4th rowPHMB419913230034042400001
5th rowPHMB419923230034042400001
ValueCountFrequency (%)
phmb419833230034042400001 1
 
3.2%
phmb420093230034042400002 1
 
3.2%
phmb420193230034042400002 1
 
3.2%
phmb420193230034042400001 1
 
3.2%
phmb420183230034042400001 1
 
3.2%
phmb420173230034042400001 1
 
3.2%
phmb420133230034042400001 1
 
3.2%
phmb420113230034042400002 1
 
3.2%
phmb420113230034042400001 1
 
3.2%
phmb420103230034042400004 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T14:40:18.406432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 258
33.3%
4 127
16.4%
3 100
 
12.9%
2 98
 
12.6%
1 39
 
5.0%
P 31
 
4.0%
H 31
 
4.0%
M 31
 
4.0%
B 31
 
4.0%
9 19
 
2.5%
Other values (3) 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 651
84.0%
Uppercase Letter 124
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 258
39.6%
4 127
19.5%
3 100
 
15.4%
2 98
 
15.1%
1 39
 
6.0%
9 19
 
2.9%
8 4
 
0.6%
7 3
 
0.5%
6 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 31
25.0%
H 31
25.0%
M 31
25.0%
B 31
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 651
84.0%
Latin 124
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 258
39.6%
4 127
19.5%
3 100
 
15.4%
2 98
 
15.1%
1 39
 
6.0%
9 19
 
2.9%
8 4
 
0.6%
7 3
 
0.5%
6 3
 
0.5%
Latin
ValueCountFrequency (%)
P 31
25.0%
H 31
25.0%
M 31
25.0%
B 31
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 258
33.3%
4 127
16.4%
3 100
 
12.9%
2 98
 
12.6%
1 39
 
5.0%
P 31
 
4.0%
H 31
 
4.0%
M 31
 
4.0%
B 31
 
4.0%
9 19
 
2.5%
Other values (3) 10
 
1.3%

인허가일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1983-04-29 00:00:00
Maximum2022-06-13 00:00:00
2024-05-11T14:40:18.645886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:18.836761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
3
26 
1
4 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 26
83.9%
1 4
 
12.9%
5 1
 
3.2%

Length

2024-05-11T14:40:19.035665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:19.205173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 26
83.9%
1 4
 
12.9%
5 1
 
3.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
폐업
26 
영업/정상
4 
제외/삭제/전출
 
1

Length

Max length8
Median length2
Mean length2.5806452
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
83.9%
영업/정상 4
 
12.9%
제외/삭제/전출 1
 
3.2%

Length

2024-05-11T14:40:19.410424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:19.612710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
83.9%
영업/정상 4
 
12.9%
제외/삭제/전출 1
 
3.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
3
26 
13
4 
98
 
1

Length

Max length2
Median length1
Mean length1.1612903
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 26
83.9%
13 4
 
12.9%
98 1
 
3.2%

Length

2024-05-11T14:40:20.222485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:20.478813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 26
83.9%
13 4
 
12.9%
98 1
 
3.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
폐업
26 
영업중
4 
기타
 
1

Length

Max length3
Median length2
Mean length2.1290323
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
83.9%
영업중 4
 
12.9%
기타 1
 
3.2%

Length

2024-05-11T14:40:20.667727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:20.830894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
83.9%
영업중 4
 
12.9%
기타 1
 
3.2%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Memory size380.0 B
Minimum2009-05-20 00:00:00
Maximum2023-10-20 00:00:00
2024-05-11T14:40:20.983946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:21.189683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
20150114
 
1
20140527
 
1
20130927
 
1
20130422
 
1

Length

Max length8
Median length4
Mean length4.6451613
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
20150114 1
 
3.2%
20140527 1
 
3.2%
20130927 1
 
3.2%
20130422 1
 
3.2%
20190103 1
 
3.2%

Length

2024-05-11T14:40:21.429615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:21.638194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
20150114 1
 
3.2%
20140527 1
 
3.2%
20130927 1
 
3.2%
20130422 1
 
3.2%
20190103 1
 
3.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
20150413
 
1
20140827
 
1
20131130
 
1
20130721
 
1

Length

Max length8
Median length4
Mean length4.6451613
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
20150413 1
 
3.2%
20140827 1
 
3.2%
20131130 1
 
3.2%
20130721 1
 
3.2%
20190402 1
 
3.2%

Length

2024-05-11T14:40:21.878644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:22.101970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
20150413 1
 
3.2%
20140827 1
 
3.2%
20131130 1
 
3.2%
20130721 1
 
3.2%
20190402 1
 
3.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing2
Missing (%)6.5%
Memory size380.0 B
2024-05-11T14:40:22.426480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.4827586
Min length7

Characters and Unicode

Total characters275
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

Unique29 ?
Unique (%)100.0%

Sample

1st row412-7762
2nd row416-6367-8
3rd row149-7676
4th row416-3421
5th row02-425-1727
ValueCountFrequency (%)
412-7762 1
 
3.4%
3432-8552 1
 
3.4%
416-6367-8 1
 
3.4%
02-424-3313 1
 
3.4%
02-2039-9223 1
 
3.4%
02-425-3633 1
 
3.4%
02-371-0816 1
 
3.4%
02-2147-8000 1
 
3.4%
4137040 1
 
3.4%
02-423-7774 1
 
3.4%
Other values (19) 19
65.5%
2024-05-11T14:40:23.025282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 42
15.3%
- 42
15.3%
4 40
14.5%
0 31
11.3%
1 27
9.8%
3 26
9.5%
7 17
6.2%
9 15
 
5.5%
6 13
 
4.7%
8 12
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 233
84.7%
Dash Punctuation 42
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 42
18.0%
4 40
17.2%
0 31
13.3%
1 27
11.6%
3 26
11.2%
7 17
7.3%
9 15
 
6.4%
6 13
 
5.6%
8 12
 
5.2%
5 10
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 42
15.3%
- 42
15.3%
4 40
14.5%
0 31
11.3%
1 27
9.8%
3 26
9.5%
7 17
6.2%
9 15
 
5.5%
6 13
 
4.7%
8 12
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 42
15.3%
- 42
15.3%
4 40
14.5%
0 31
11.3%
1 27
9.8%
3 26
9.5%
7 17
6.2%
9 15
 
5.5%
6 13
 
4.7%
8 12
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)72.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean138615.6
Minimum138050
Maximum138861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:23.289903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138050
5-th percentile138051
Q1138200
median138842
Q3138849
95-th percentile138861
Maximum138861
Range811
Interquartile range (IQR)649

Descriptive statistics

Standard deviation338.12609
Coefficient of variation (CV)0.0024393076
Kurtosis-1.2791279
Mean138615.6
Median Absolute Deviation (MAD)19
Skewness-0.86316187
Sum3465390
Variance114329.25
MonotonicityNot monotonic
2024-05-11T14:40:23.490471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
138861 3
 
9.7%
138803 2
 
6.5%
138161 2
 
6.5%
138051 2
 
6.5%
138847 2
 
6.5%
138849 2
 
6.5%
138844 1
 
3.2%
138805 1
 
3.2%
138827 1
 
3.2%
138842 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 6
19.4%
ValueCountFrequency (%)
138050 1
3.2%
138051 2
6.5%
138161 2
6.5%
138190 1
3.2%
138200 1
3.2%
138229 1
3.2%
138803 2
6.5%
138805 1
3.2%
138827 1
3.2%
138842 1
3.2%
ValueCountFrequency (%)
138861 3
9.7%
138854 1
 
3.2%
138851 1
 
3.2%
138849 2
6.5%
138848 1
 
3.2%
138847 2
6.5%
138845 1
 
3.2%
138844 1
 
3.2%
138842 1
 
3.2%
138827 1
 
3.2%

지번주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-05-11T14:40:23.878701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33.5
Mean length27.2
Min length20

Characters and Unicode

Total characters816
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 석촌동 296번지 8호 지하1층
2nd row서울특별시 송파구 잠실본동 176번지 8호 (1,2,3,4,5층)
3rd row서울특별시 송파구 송파1동 32번지 3호 (2,3층)
4th row서울특별시 송파구 석촌동 1번지 7호
5th row서울특별시 송파구 송파1동 58번지 14호 (1,2,3,4층)
ValueCountFrequency (%)
서울특별시 30
 
17.0%
송파구 30
 
17.0%
2호 6
 
3.4%
석촌동 6
 
3.4%
송파1동 4
 
2.3%
방이동 4
 
2.3%
7호 4
 
2.3%
4호 4
 
2.3%
2층 4
 
2.3%
79번지 4
 
2.3%
Other values (65) 80
45.5%
2024-05-11T14:40:24.628965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
17.9%
1 40
 
4.9%
파 36
 
4.4%
송 36
 
4.4%
지 34
 
4.2%
동 30
 
3.7%
울 30
 
3.7%
서 30
 
3.7%
시 30
 
3.7%
별 30
 
3.7%
Other values (52) 374
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
59.4%
Decimal Number 156
 
19.1%
Space Separator 146
 
17.9%
Other Punctuation 12
 
1.5%
Close Punctuation 7
 
0.9%
Open Punctuation 7
 
0.9%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 36
 
7.4%
송 36
 
7.4%
지 34
 
7.0%
동 30
 
6.2%
울 30
 
6.2%
서 30
 
6.2%
시 30
 
6.2%
별 30
 
6.2%
특 30
 
6.2%
구 30
 
6.2%
Other values (36) 169
34.8%
Decimal Number
ValueCountFrequency (%)
1 40
25.6%
2 25
16.0%
4 15
 
9.6%
3 15
 
9.6%
7 13
 
8.3%
5 12
 
7.7%
9 11
 
7.1%
8 10
 
6.4%
6 8
 
5.1%
0 7
 
4.5%
Space Separator
ValueCountFrequency (%)
146
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
59.4%
Common 331
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 36
 
7.4%
송 36
 
7.4%
지 34
 
7.0%
동 30
 
6.2%
울 30
 
6.2%
서 30
 
6.2%
시 30
 
6.2%
별 30
 
6.2%
특 30
 
6.2%
구 30
 
6.2%
Other values (36) 169
34.8%
Common
ValueCountFrequency (%)
146
44.1%
1 40
 
12.1%
2 25
 
7.6%
4 15
 
4.5%
3 15
 
4.5%
7 13
 
3.9%
, 12
 
3.6%
5 12
 
3.6%
9 11
 
3.3%
8 10
 
3.0%
Other values (6) 32
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
59.4%
ASCII 331
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
44.1%
1 40
 
12.1%
2 25
 
7.6%
4 15
 
4.5%
3 15
 
4.5%
7 13
 
3.9%
, 12
 
3.6%
5 12
 
3.6%
9 11
 
3.3%
8 10
 
3.0%
Other values (6) 32
 
9.7%
Hangul
ValueCountFrequency (%)
파 36
 
7.4%
송 36
 
7.4%
지 34
 
7.0%
동 30
 
6.2%
울 30
 
6.2%
서 30
 
6.2%
시 30
 
6.2%
별 30
 
6.2%
특 30
 
6.2%
구 30
 
6.2%
Other values (36) 169
34.8%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-05-11T14:40:25.067441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33.5
Mean length31.333333
Min length23

Characters and Unicode

Total characters940
Distinct characters71
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 송파대로 385, 지하1층 (석촌동)
2nd row서울특별시 송파구 백제고분로7길 7-9 (잠실동,(1,2,3,4,5층))
3rd row서울특별시 송파구 백제고분로41길 42-11 (송파동,(2,3층))
4th row서울특별시 송파구 삼학사로 98 (석촌동)
5th row서울특별시 송파구 백제고분로45길 38-9 (송파동,(1,2,3,4층))
ValueCountFrequency (%)
서울특별시 30
 
18.0%
송파구 30
 
18.0%
방이동 7
 
4.2%
송파대로28길 5
 
3.0%
가락동 4
 
2.4%
석촌동 3
 
1.8%
2층 3
 
1.8%
지하1층 3
 
1.8%
32 3
 
1.8%
3층 3
 
1.8%
Other values (64) 76
45.5%
2024-05-11T14:40:25.732315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
14.6%
송 45
 
4.8%
파 44
 
4.7%
, 36
 
3.8%
) 35
 
3.7%
( 35
 
3.7%
2 33
 
3.5%
서 30
 
3.2%
로 30
 
3.2%
동 30
 
3.2%
Other values (61) 485
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
56.9%
Decimal Number 152
 
16.2%
Space Separator 137
 
14.6%
Other Punctuation 36
 
3.8%
Close Punctuation 35
 
3.7%
Open Punctuation 35
 
3.7%
Dash Punctuation 8
 
0.9%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 45
 
8.4%
파 44
 
8.2%
서 30
 
5.6%
로 30
 
5.6%
동 30
 
5.6%
울 30
 
5.6%
구 30
 
5.6%
시 30
 
5.6%
별 30
 
5.6%
특 30
 
5.6%
Other values (44) 206
38.5%
Decimal Number
ValueCountFrequency (%)
2 33
21.7%
1 29
19.1%
3 27
17.8%
4 16
10.5%
8 12
 
7.9%
0 10
 
6.6%
5 8
 
5.3%
9 7
 
4.6%
7 6
 
3.9%
6 4
 
2.6%
Space Separator
ValueCountFrequency (%)
137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
56.9%
Common 404
43.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 45
 
8.4%
파 44
 
8.2%
서 30
 
5.6%
로 30
 
5.6%
동 30
 
5.6%
울 30
 
5.6%
구 30
 
5.6%
시 30
 
5.6%
별 30
 
5.6%
특 30
 
5.6%
Other values (44) 206
38.5%
Common
ValueCountFrequency (%)
137
33.9%
, 36
 
8.9%
) 35
 
8.7%
( 35
 
8.7%
2 33
 
8.2%
1 29
 
7.2%
3 27
 
6.7%
4 16
 
4.0%
8 12
 
3.0%
0 10
 
2.5%
Other values (6) 34
 
8.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
56.9%
ASCII 405
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
33.8%
, 36
 
8.9%
) 35
 
8.6%
( 35
 
8.6%
2 33
 
8.1%
1 29
 
7.2%
3 27
 
6.7%
4 16
 
4.0%
8 12
 
3.0%
0 10
 
2.5%
Other values (7) 35
 
8.6%
Hangul
ValueCountFrequency (%)
송 45
 
8.4%
파 44
 
8.2%
서 30
 
5.6%
로 30
 
5.6%
동 30
 
5.6%
울 30
 
5.6%
구 30
 
5.6%
시 30
 
5.6%
별 30
 
5.6%
특 30
 
5.6%
Other values (44) 206
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean52641.176
Minimum5542
Maximum138861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:25.983060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5542
5-th percentile5543.6
Q15610
median5697
Q3138805
95-th percentile138855.4
Maximum138861
Range133319
Interquartile range (IQR)133195

Descriptive statistics

Standard deviation65613.499
Coefficient of variation (CV)1.2464292
Kurtosis-1.7662328
Mean52641.176
Median Absolute Deviation (MAD)150
Skewness0.67668985
Sum894900
Variance4.3051312 × 109
MonotonicityNot monotonic
2024-05-11T14:40:26.187454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5718 2
 
6.5%
5679 1
 
3.2%
5547 1
 
3.2%
5668 1
 
3.2%
5542 1
 
3.2%
5641 1
 
3.2%
5544 1
 
3.2%
138854 1
 
3.2%
5697 1
 
3.2%
5558 1
 
3.2%
Other values (6) 6
19.4%
(Missing) 14
45.2%
ValueCountFrequency (%)
5542 1
3.2%
5544 1
3.2%
5547 1
3.2%
5558 1
3.2%
5610 1
3.2%
5641 1
3.2%
5668 1
3.2%
5679 1
3.2%
5697 1
3.2%
5718 2
6.5%
ValueCountFrequency (%)
138861 1
3.2%
138854 1
3.2%
138828 1
3.2%
138827 1
3.2%
138805 1
3.2%
138803 1
3.2%
5718 2
6.5%
5697 1
3.2%
5679 1
3.2%
5668 1
3.2%

사업장명
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-05-11T14:40:26.578766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length7.1290323
Min length5

Characters and Unicode

Total characters221
Distinct characters78
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st rowPD안마시술소
2nd row태평양안마시술소
3rd row썬안마시술소
4th row럭셔리안마시술소
5th row철수안마시술소
ValueCountFrequency (%)
웰빙안마시술소 2
 
6.5%
pd안마시술소 1
 
3.2%
하나안마원 1
 
3.2%
잘풀림힐링안마원 1
 
3.2%
영안마시술소 1
 
3.2%
건강한지압안마원 1
 
3.2%
넘버파이브(no.5)안마시술소 1
 
3.2%
굿모닝안마원 1
 
3.2%
청평안마원 1
 
3.2%
홍익건강지압안마원 1
 
3.2%
Other values (20) 20
64.5%
2024-05-11T14:40:27.267396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 31
 
14.0%
마 31
 
14.0%
시 20
 
9.0%
술 20
 
9.0%
소 20
 
9.0%
원 11
 
5.0%
파 3
 
1.4%
웰 2
 
0.9%
빙 2
 
0.9%
이 2
 
0.9%
Other values (68) 79
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
95.9%
Uppercase Letter 5
 
2.3%
Open Punctuation 1
 
0.5%
Other Punctuation 1
 
0.5%
Decimal Number 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 31
14.6%
마 31
14.6%
시 20
 
9.4%
술 20
 
9.4%
소 20
 
9.4%
원 11
 
5.2%
파 3
 
1.4%
웰 2
 
0.9%
빙 2
 
0.9%
이 2
 
0.9%
Other values (59) 70
33.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
P 1
20.0%
N 1
20.0%
O 1
20.0%
Q 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
95.9%
Latin 5
 
2.3%
Common 4
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 31
14.6%
마 31
14.6%
시 20
 
9.4%
술 20
 
9.4%
소 20
 
9.4%
원 11
 
5.2%
파 3
 
1.4%
웰 2
 
0.9%
빙 2
 
0.9%
이 2
 
0.9%
Other values (59) 70
33.0%
Latin
ValueCountFrequency (%)
D 1
20.0%
P 1
20.0%
N 1
20.0%
O 1
20.0%
Q 1
20.0%
Common
ValueCountFrequency (%)
( 1
25.0%
. 1
25.0%
5 1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
95.9%
ASCII 9
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 31
14.6%
마 31
14.6%
시 20
 
9.4%
술 20
 
9.4%
소 20
 
9.4%
원 11
 
5.2%
파 3
 
1.4%
웰 2
 
0.9%
빙 2
 
0.9%
이 2
 
0.9%
Other values (59) 70
33.0%
ASCII
ValueCountFrequency (%)
D 1
11.1%
P 1
11.1%
( 1
11.1%
N 1
11.1%
O 1
11.1%
. 1
11.1%
5 1
11.1%
) 1
11.1%
Q 1
11.1%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2009-11-24 16:20:13
Maximum2023-10-23 15:16:56
2024-05-11T14:40:27.491199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:27.680900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
I
22 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 22
71.0%
U 9
29.0%

Length

2024-05-11T14:40:27.887963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:28.048626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
71.0%
u 9
29.0%

데이터갱신일자
Categorical

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2018-08-31 23:59:59.0
22 
2020-04-30 02:40:00.0
 
1
2019-12-28 02:40:00.0
 
1
2021-12-06 00:02:00.0
 
1
2021-11-01 22:01:00.0
 
1
Other values (5)
5 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)29.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2020-04-30 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 22
71.0%
2020-04-30 02:40:00.0 1
 
3.2%
2019-12-28 02:40:00.0 1
 
3.2%
2021-12-06 00:02:00.0 1
 
3.2%
2021-11-01 22:01:00.0 1
 
3.2%
2019-03-01 02:40:00.0 1
 
3.2%
2022-10-30 22:05:00.0 1
 
3.2%
2022-12-07 00:06:00.0 1
 
3.2%
2020-09-30 02:40:00.0 1
 
3.2%
2022-12-01 23:01:00.0 1
 
3.2%

Length

2024-05-11T14:40:28.207512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:28.404401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 22
35.5%
23:59:59.0 22
35.5%
02:40:00.0 4
 
6.5%
2022-10-30 1
 
1.6%
2022-12-01 1
 
1.6%
2020-09-30 1
 
1.6%
00:06:00.0 1
 
1.6%
2022-12-07 1
 
1.6%
22:05:00.0 1
 
1.6%
22:01:00.0 1
 
1.6%
Other values (7) 7
 
11.3%

업태구분명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
안마시술소
20 
안마원
11 

Length

Max length5
Median length5
Mean length4.2903226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마시술소 20
64.5%
안마원 11
35.5%

Length

2024-05-11T14:40:28.625441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:28.815058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마시술소 20
64.5%
안마원 11
35.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)83.3%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean209474.98
Minimum206960.85
Maximum211467.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:29.007258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206960.85
5-th percentile207310.16
Q1208993.8
median209651.43
Q3210180.78
95-th percentile210658.05
Maximum211467.8
Range4506.9421
Interquartile range (IQR)1186.985

Descriptive statistics

Standard deviation1102.0588
Coefficient of variation (CV)0.0052610524
Kurtosis0.35706319
Mean209474.98
Median Absolute Deviation (MAD)659.7196
Skewness-0.81528828
Sum6284249.3
Variance1214533.7
MonotonicityNot monotonic
2024-05-11T14:40:29.210083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
210658.051559152 3
 
9.7%
210562.900849903 2
 
6.5%
208888.2046311 2
 
6.5%
209779.298176864 2
 
6.5%
209419.462951846 1
 
3.2%
209667.240889672 1
 
3.2%
209689.992942064 1
 
3.2%
209542.709911306 1
 
3.2%
209976.787755322 1
 
3.2%
210218.476762636 1
 
3.2%
Other values (15) 15
48.4%
ValueCountFrequency (%)
206960.853941553 1
3.2%
207300.028556978 1
3.2%
207322.549476662 1
3.2%
207438.254279484 1
3.2%
208529.294612776 1
3.2%
208554.799609279 1
3.2%
208888.2046311 2
6.5%
209310.575810118 1
3.2%
209419.462951846 1
3.2%
209466.224876057 1
3.2%
ValueCountFrequency (%)
211467.795998882 1
 
3.2%
210658.051559152 3
9.7%
210562.900849903 2
6.5%
210403.825298326 1
 
3.2%
210218.476762636 1
 
3.2%
210067.699438948 1
 
3.2%
209976.787755322 1
 
3.2%
209779.298176864 2
6.5%
209717.853692551 1
 
3.2%
209689.992942064 1
 
3.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)83.3%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean444829.71
Minimum442771.74
Maximum445981.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:29.383111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442771.74
5-th percentile443555.86
Q1444388.67
median444972.19
Q3445456.75
95-th percentile445968.08
Maximum445981.73
Range3209.9899
Interquartile range (IQR)1068.0883

Descriptive statistics

Standard deviation901.97543
Coefficient of variation (CV)0.002027687
Kurtosis-0.67368125
Mean444829.71
Median Absolute Deviation (MAD)553.84856
Skewness-0.57247096
Sum13344891
Variance813559.68
MonotonicityNot monotonic
2024-05-11T14:40:29.555794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
443620.612078283 3
 
9.7%
443555.864703206 2
 
6.5%
444985.075379112 2
 
6.5%
445981.729836521 2
 
6.5%
444888.76026351 1
 
3.2%
445726.512726641 1
 
3.2%
444486.863307165 1
 
3.2%
445868.526191867 1
 
3.2%
445499.113836643 1
 
3.2%
444959.310417302 1
 
3.2%
Other values (15) 15
48.4%
ValueCountFrequency (%)
442771.73993318 1
 
3.2%
443555.864703206 2
6.5%
443562.753075246 1
 
3.2%
443620.612078283 3
9.7%
444386.042979275 1
 
3.2%
444396.534631579 1
 
3.2%
444440.154041662 1
 
3.2%
444486.863307165 1
 
3.2%
444868.79542744 1
 
3.2%
444883.096558986 1
 
3.2%
ValueCountFrequency (%)
445981.729836521 2
6.5%
445951.388778266 1
3.2%
445934.229165112 1
3.2%
445868.526191867 1
3.2%
445726.512726641 1
3.2%
445499.113836643 1
3.2%
445457.135255489 1
3.2%
445455.610914717 1
3.2%
445429.459850149 1
3.2%
445405.99558401 1
3.2%

의료유사업종별명
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
안마시술소
16 
안마원
10 
<NA>
5 

Length

Max length5
Median length5
Mean length4.1935484
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마시술소 16
51.6%
안마원 10
32.3%
<NA> 5
 
16.1%

Length

2024-05-11T14:40:29.752923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:29.935192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마시술소 16
51.6%
안마원 10
32.3%
na 5
 
16.1%

종업원수
Categorical

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
3
8 
1
8 
2
6 
<NA>
5 
4
3 

Length

Max length4
Median length1
Mean length1.483871
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row2
2nd row3
3rd row3
4th row4
5th row4

Common Values

ValueCountFrequency (%)
3 8
25.8%
1 8
25.8%
2 6
19.4%
<NA> 5
16.1%
4 3
 
9.7%
0 1
 
3.2%

Length

2024-05-11T14:40:30.120707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:30.274308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8
25.8%
1 8
25.8%
2 6
19.4%
na 5
16.1%
4 3
 
9.7%
0 1
 
3.2%

자격증소유자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

보조종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

시설관리자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

기타종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

병상수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)63.2%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean16.631579
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:30.441382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q111.5
median20
Q323
95-th percentile25.9
Maximum34
Range33
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.9020006
Coefficient of variation (CV)0.53524687
Kurtosis-0.18843351
Mean16.631579
Median Absolute Deviation (MAD)5
Skewness-0.34181436
Sum316
Variance79.245614
MonotonicityNot monotonic
2024-05-11T14:40:30.613976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
14 2
 
6.5%
21 2
 
6.5%
23 2
 
6.5%
20 2
 
6.5%
24 2
 
6.5%
11 2
 
6.5%
1 2
 
6.5%
25 1
 
3.2%
34 1
 
3.2%
15 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 12
38.7%
ValueCountFrequency (%)
1 2
6.5%
2 1
3.2%
11 2
6.5%
12 1
3.2%
14 2
6.5%
15 1
3.2%
20 2
6.5%
21 2
6.5%
23 2
6.5%
24 2
6.5%
ValueCountFrequency (%)
34 1
3.2%
25 1
3.2%
24 2
6.5%
23 2
6.5%
21 2
6.5%
20 2
6.5%
15 1
3.2%
14 2
6.5%
12 1
3.2%
11 2
6.5%

욕실면적
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean50.863636
Minimum15.18
Maximum76.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:30.787404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.18
5-th percentile21.69
Q137.725
median52
Q367.06
95-th percentile74.525
Maximum76.8
Range61.62
Interquartile range (IQR)29.335

Descriptive statistics

Standard deviation19.816612
Coefficient of variation (CV)0.38960275
Kurtosis-0.76623821
Mean50.863636
Median Absolute Deviation (MAD)15.16
Skewness-0.46957518
Sum559.5
Variance392.69813
MonotonicityNot monotonic
2024-05-11T14:40:30.915876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
56.34 1
 
3.2%
72.25 1
 
3.2%
45.0 1
 
3.2%
67.16 1
 
3.2%
66.96 1
 
3.2%
49.16 1
 
3.2%
76.8 1
 
3.2%
15.18 1
 
3.2%
28.2 1
 
3.2%
52.0 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
15.18 1
3.2%
28.2 1
3.2%
30.45 1
3.2%
45.0 1
3.2%
49.16 1
3.2%
52.0 1
3.2%
56.34 1
3.2%
66.96 1
3.2%
67.16 1
3.2%
72.25 1
3.2%
ValueCountFrequency (%)
76.8 1
3.2%
72.25 1
3.2%
67.16 1
3.2%
66.96 1
3.2%
56.34 1
3.2%
52.0 1
3.2%
49.16 1
3.2%
45.0 1
3.2%
30.45 1
3.2%
28.2 1
3.2%

총면적
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean380.84577
Minimum15.08
Maximum793.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-05-11T14:40:31.129200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.08
5-th percentile38.0475
Q190.5875
median446.05
Q3590.65
95-th percentile774.3075
Maximum793.2
Range778.12
Interquartile range (IQR)500.0625

Descriptive statistics

Standard deviation276.55583
Coefficient of variation (CV)0.72616227
Kurtosis-1.4781025
Mean380.84577
Median Absolute Deviation (MAD)321.15
Skewness0.054568817
Sum9901.99
Variance76483.126
MonotonicityNot monotonic
2024-05-11T14:40:31.386637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
461.5 2
 
6.5%
40.5 1
 
3.2%
83.8 1
 
3.2%
106.8 1
 
3.2%
633.51 1
 
3.2%
66.0 1
 
3.2%
99.01 1
 
3.2%
72.38 1
 
3.2%
37.23 1
 
3.2%
461.51 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
15.08 1
3.2%
37.23 1
3.2%
40.5 1
3.2%
66.0 1
3.2%
72.38 1
3.2%
83.8 1
3.2%
87.78 1
3.2%
99.01 1
3.2%
102.78 1
3.2%
106.8 1
3.2%
ValueCountFrequency (%)
793.2 1
3.2%
775.51 1
3.2%
770.7 1
3.2%
763.7 1
3.2%
745.7 1
3.2%
633.51 1
3.2%
613.0 1
3.2%
523.6 1
3.2%
514.9 1
3.2%
473.3 1
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
03230000PHMB41983323003404240000119830429<NA>3폐업3폐업20170206<NA><NA><NA>412-7762<NA>138847서울특별시 송파구 석촌동 296번지 8호 지하1층서울특별시 송파구 송파대로 385, 지하1층 (석촌동)5697PD안마시술소2017-02-06 13:23:44I2018-08-31 23:59:59.0안마시술소209635.621975444386.042979안마시술소2<NA><NA><NA><NA>1456.34382.5
13230000PHMB41989323003404240000119890817<NA>3폐업3폐업20091124<NA><NA><NA>416-6367-8<NA>138861서울특별시 송파구 잠실본동 176번지 8호 (1,2,3,4,5층)서울특별시 송파구 백제고분로7길 7-9 (잠실동,(1,2,3,4,5층))<NA>태평양안마시술소2009-11-24 16:20:13I2018-08-31 23:59:59.0안마시술소206960.853942445405.995584안마시술소3<NA><NA><NA><NA>2172.25745.7
23230000PHMB41990323003404240000119900111<NA>3폐업3폐업20090520<NA><NA><NA>149-7676<NA>138849서울특별시 송파구 송파1동 32번지 3호 (2,3층)서울특별시 송파구 백제고분로41길 42-11 (송파동,(2,3층))<NA>썬안마시술소2014-07-09 10:42:36I2018-08-31 23:59:59.0안마시술소209310.57581445304.185218안마시술소3<NA><NA><NA><NA>2145.0473.3
33230000PHMB41991323003404240000119911030<NA>3폐업3폐업20110228<NA><NA><NA>416-3421<NA>138842서울특별시 송파구 석촌동 1번지 7호서울특별시 송파구 삼학사로 98 (석촌동)<NA>럭셔리안마시술소2011-02-28 17:11:04I2018-08-31 23:59:59.0안마시술소208554.799609444868.795427안마시술소4<NA><NA><NA><NA>2567.16770.7
43230000PHMB41992323003404240000119920516<NA>3폐업3폐업20180306<NA><NA><NA>02-425-1727<NA>138849서울특별시 송파구 송파1동 58번지 14호 (1,2,3,4층)서울특별시 송파구 백제고분로45길 38-9 (송파동,(1,2,3,4층))<NA>철수안마시술소2020-04-28 10:45:43U2020-04-30 02:40:00.0안마시술소209466.224876445457.135255안마시술소4<NA><NA><NA><NA>2366.96763.7
53230000PHMB41997323003404240000119970729<NA>3폐업3폐업201912262015011420150413<NA>418-3891-2<NA>138861서울특별시 송파구 잠실본동 183번지 1호 4층서울특별시 송파구 백제고분로7길 39 (잠실동, 4층)5558어래안마시술소2019-12-26 15:46:50U2019-12-28 02:40:00.0안마시술소207300.028557445429.45985안마시술소3<NA><NA><NA><NA>2049.16461.5
63230000PHMB41997323003404240000219971122<NA>3폐업3폐업201410222014052720140827<NA>422-0111<NA>138827서울특별시 송파구 방이2동 36번지 1호 (2,3,4,5,6층)서울특별시 송파구 올림픽로32길 5 (방이동, 2,3,4,5,6층)138827동경안마시술소2014-10-22 16:58:33I2018-08-31 23:59:59.0안마시술소209568.188973445934.229165안마시술소3<NA><NA><NA><NA>2476.8793.2
73230000PHMB42002323003404240000220021008<NA>3폐업3폐업20091208<NA><NA><NA>408-7424<NA>138803서울특별시 송파구 가락본동 79번지 4호 2층서울특별시 송파구 송파대로28길 20 (가락동,2층)<NA>캐슬안마시술소2013-07-18 08:58:06I2018-08-31 23:59:59.0안마시술소210562.90085443555.864703안마시술소4<NA><NA><NA><NA>1115.18461.5
83230000PHMB42003323003404240000120030324<NA>3폐업3폐업20100429<NA><NA><NA>421-4742<NA>138844서울특별시 송파구 석촌동 158번지 2호 (지하2층)서울특별시 송파구 석촌호수로 220 (석촌동,(지하2층))<NA>케이투안마시술소2010-05-28 10:16:43I2018-08-31 23:59:59.0안마시술소208888.204631444985.075379안마시술소3<NA><NA><NA><NA>1428.2514.9
93230000PHMB42003323003404240000220031220<NA>3폐업3폐업201310022013092720131130<NA>431-3002<NA>138805서울특별시 송파구 가락본동 98번지 2호 (3층)서울특별시 송파구 송파대로30길 8 (가락동, 3층)138805Q안마시술소2013-10-02 15:01:51I2018-08-31 23:59:59.0안마시술소210403.825298443562.753075안마시술소3<NA><NA><NA><NA>20<NA>385.9
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
213230000PHMB42010323003404240000320100503<NA>3폐업3폐업20120802<NA><NA><NA>02-964-5959<NA>138229서울특별시 송파구 잠실본동 184번지 7호 2층서울특별시 송파구 올림픽로 130 (잠실동,2층)<NA>홍선생경락안마원2013-07-18 09:02:54I2018-08-31 23:59:59.0안마원207438.254279445455.610915안마원1<NA><NA><NA><NA><NA><NA>37.23
223230000PHMB42010323003404240000420101112<NA>3폐업3폐업20121015<NA><NA><NA>02-423-7774<NA>138861서울특별시 송파구 잠실본동 187번지 13호 2층서울특별시 송파구 백제고분로9길 41 (잠실동)138861홍익건강지압안마원2012-10-17 09:25:59I2018-08-31 23:59:59.0안마원207322.549477445307.945537안마원1<NA><NA><NA><NA><NA><NA>72.38
233230000PHMB42011323003404240000120111109<NA>1영업/정상13영업중<NA><NA><NA><NA>4137040<NA>138845서울특별시 송파구 석촌동 210번지 공익빌딩 405호서울특별시 송파구 백제고분로 276 (석촌동,공익빌딩 405호)5679청평안마원2013-07-29 10:50:56I2018-08-31 23:59:59.0안마원208529.294613444440.154042안마원1<NA><NA><NA><NA><NA><NA>99.01
243230000PHMB42011323003404240000220111121<NA>3폐업3폐업20130805<NA><NA><NA><NA><NA>138854서울특별시 송파구 송파2동 146번지 2호 일조빌딩 105호서울특별시 송파구 가락로 208 (송파동)138854굿모닝안마원2013-08-05 18:05:19I2018-08-31 23:59:59.0안마원210218.476763444959.310417안마원1<NA><NA><NA><NA><NA><NA>66.0
253230000PHMB42013323003404240000120131206<NA>3폐업3폐업201902272019010320190402<NA>02-2147-8000<NA><NA>서울특별시 송파구 방이동 42번지 4호 1~5층서울특별시 송파구 올림픽로34길 9-13, 1~5층 (방이동)5544넘버파이브(NO.5)안마시술소2019-02-27 14:27:10U2019-03-01 02:40:00.0안마시술소209779.298177445981.729837안마시술소2<NA><NA><NA><NA>2330.45633.51
263230000PHMB42017323003404240000120171226<NA>1영업/정상13영업중<NA><NA><NA><NA>02-371-0816<NA><NA>서울특별시 송파구 방이동 110번지 6호서울특별시 송파구 백제고분로48길 4, 3층 (방이동)5641건강한지압안마원2017-12-26 15:55:33I2018-08-31 23:59:59.0안마원209976.787755445499.113837안마원0<NA><NA><NA><NA><NA><NA>106.8
273230000PHMB4201832300340424000012018-01-26<NA>3폐업3폐업2023-10-20<NA><NA><NA>02-425-3633<NA><NA>서울특별시 송파구 방이동 34번지 2호 현대드림밸리서울특별시 송파구 오금로11길 11-8, 현대드림밸리 지하1층 (방이동)5542영안마시술소2023-10-23 15:16:56U2022-10-30 22:05:00.0안마시술소209542.709911445868.526192<NA><NA><NA><NA><NA><NA><NA><NA><NA>
283230000PHMB4201932300340424000012019-08-01<NA>3폐업3폐업2023-07-03<NA><NA><NA>02-2039-9223<NA><NA>서울특별시 송파구 송파동 95번지 32호서울특별시 송파구 가락로17길 4, 2층 (송파동)5668잘풀림힐링안마원2023-07-04 09:54:04U2022-12-07 00:06:00.0안마원209689.992942444486.863307<NA><NA><NA><NA><NA><NA><NA><NA><NA>
293230000PHMB42019323003404240000220190806<NA>1영업/정상13영업중<NA><NA><NA><NA>02-424-3313<NA><NA><NA>서울특별시 송파구 오금로13길 22, 3층 (방이동)5547늘함안마원2020-09-28 11:12:47U2020-09-30 02:40:00.0안마원209667.24089445726.512727안마원1<NA><NA><NA><NA>2<NA>83.8
303230000PHMB4202232300340424000012022-06-13<NA>3폐업3폐업2023-02-08<NA><NA><NA>02-443-0231<NA><NA>서울특별시 송파구 가락동 79-7 올림피아오피스텔서울특별시 송파구 송파대로28길 32, 올림피아오피스텔 B1층 (가락동)5718웰빙안마시술소2023-02-09 10:43:16U2022-12-01 23:01:00.0안마시술소210658.051559443620.612078<NA><NA><NA><NA><NA><NA><NA><NA><NA>