Overview

Dataset statistics

Number of variables34
Number of observations44
Missing cells463
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory294.0 B

Variable types

Categorical11
Text6
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16379/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (65.9%)Imbalance
데이터갱신일자 is highly imbalanced (53.2%)Imbalance
욕실면적 is highly imbalanced (73.3%)Imbalance
인허가취소일자 has 44 (100.0%) missing valuesMissing
폐업일자 has 14 (31.8%) missing valuesMissing
휴업종료일자 has 38 (86.4%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
전화번호 has 5 (11.4%) missing valuesMissing
소재지면적 has 44 (100.0%) missing valuesMissing
소재지우편번호 has 7 (15.9%) missing valuesMissing
도로명주소 has 15 (34.1%) missing valuesMissing
도로명우편번호 has 20 (45.5%) missing valuesMissing
좌표정보(X) has 14 (31.8%) missing valuesMissing
좌표정보(Y) has 14 (31.8%) missing valuesMissing
종업원수 has 7 (15.9%) missing valuesMissing
자격증소유자수 has 44 (100.0%) missing valuesMissing
보조종업원수 has 44 (100.0%) missing valuesMissing
시설관리자수 has 44 (100.0%) missing valuesMissing
기타종업원수 has 44 (100.0%) missing valuesMissing
병상수 has 15 (34.1%) missing valuesMissing
총면적 has 6 (13.6%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 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 07:53:31.074135
Analysis finished2024-05-11 07:53:32.313690
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
3210000
44 

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 44
100.0%

Length

2024-05-11T07:53:32.648617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:32.952889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 44
100.0%

관리번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T07:53:33.606059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1100
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st rowPHMB419823210034042400001
2nd rowPHMB419833210034042400001
3rd rowPHMB419863210034042400001
4th rowPHMB419903210034042400001
5th rowPHMB419953210034042400001
ValueCountFrequency (%)
phmb419823210034042400001 1
 
2.3%
phmb419833210034042400001 1
 
2.3%
phmb420123210034042400002 1
 
2.3%
phmb420093210034042400001 1
 
2.3%
phmb420093210034042400002 1
 
2.3%
phmb420093210034042400003 1
 
2.3%
phmb420103210034042400001 1
 
2.3%
phmb420103210034042400002 1
 
2.3%
phmb420103210034042400003 1
 
2.3%
phmb420113210034042400001 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T07:53:34.911449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 366
33.3%
4 182
16.5%
2 143
 
13.0%
3 98
 
8.9%
1 96
 
8.7%
P 44
 
4.0%
H 44
 
4.0%
M 44
 
4.0%
B 44
 
4.0%
9 21
 
1.9%
Other values (4) 18
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 924
84.0%
Uppercase Letter 176
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 366
39.6%
4 182
19.7%
2 143
 
15.5%
3 98
 
10.6%
1 96
 
10.4%
9 21
 
2.3%
8 5
 
0.5%
6 5
 
0.5%
7 5
 
0.5%
5 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 44
25.0%
H 44
25.0%
M 44
25.0%
B 44
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
84.0%
Latin 176
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 366
39.6%
4 182
19.7%
2 143
 
15.5%
3 98
 
10.6%
1 96
 
10.4%
9 21
 
2.3%
8 5
 
0.5%
6 5
 
0.5%
7 5
 
0.5%
5 3
 
0.3%
Latin
ValueCountFrequency (%)
P 44
25.0%
H 44
25.0%
M 44
25.0%
B 44
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 366
33.3%
4 182
16.5%
2 143
 
13.0%
3 98
 
8.9%
1 96
 
8.7%
P 44
 
4.0%
H 44
 
4.0%
M 44
 
4.0%
B 44
 
4.0%
9 21
 
1.9%
Other values (4) 18
 
1.6%

인허가일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum1982-08-28 00:00:00
Maximum2024-01-18 00:00:00
2024-05-11T07:53:35.481389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:53:36.016181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
31 
1
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
70.5%
1 13
29.5%

Length

2024-05-11T07:53:36.542718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:37.038619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
70.5%
1 13
29.5%

영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
31 
영업/정상
13 

Length

Max length5
Median length2
Mean length2.8863636
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
70.5%
영업/정상 13
29.5%

Length

2024-05-11T07:53:37.508234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:37.917371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
70.5%
영업/정상 13
29.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
31 
13
13 

Length

Max length2
Median length1
Mean length1.2954545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
70.5%
13 13
29.5%

Length

2024-05-11T07:53:38.338860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:38.690022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
70.5%
13 13
29.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
31 
영업중
13 

Length

Max length3
Median length2
Mean length2.2954545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
70.5%
영업중 13
29.5%

Length

2024-05-11T07:53:39.196450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:39.673144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
70.5%
영업중 13
29.5%

폐업일자
Date

MISSING 

Distinct30
Distinct (%)100.0%
Missing14
Missing (%)31.8%
Memory size484.0 B
Minimum2008-12-17 00:00:00
Maximum2023-06-01 00:00:00
2024-05-11T07:53:40.086034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:53:40.599176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
38 
20130408
 
2
20110523
 
1
20081205
 
1
20090903
 
1

Length

Max length8
Median length4
Mean length4.5454545
Min length4

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row<NA>
3rd row20110523
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
86.4%
20130408 2
 
4.5%
20110523 1
 
2.3%
20081205 1
 
2.3%
20090903 1
 
2.3%
20130122 1
 
2.3%

Length

2024-05-11T07:53:41.045760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:41.647638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
20130408 2
 
4.5%
20110523 1
 
2.3%
20081205 1
 
2.3%
20090903 1
 
2.3%
20130122 1
 
2.3%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing38
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean20115677
Minimum20090301
Maximum20140122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:53:42.001851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090301
5-th percentile20090502
Q120096033
median20120764
Q320130933
95-th percentile20137844
Maximum20140122
Range49821
Interquartile range (IQR)34900

Descriptive statistics

Standard deviation21586.535
Coefficient of variation (CV)0.00107312
Kurtosis-2.2420404
Mean20115677
Median Absolute Deviation (MAD)14800.5
Skewness-0.28900055
Sum1.2069406 × 108
Variance4.6597847 × 108
MonotonicityNot monotonic
2024-05-11T07:53:42.417542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20110822 1
 
2.3%
20090301 1
 
2.3%
20091103 1
 
2.3%
20140122 1
 
2.3%
20130707 1
 
2.3%
20131008 1
 
2.3%
(Missing) 38
86.4%
ValueCountFrequency (%)
20090301 1
2.3%
20091103 1
2.3%
20110822 1
2.3%
20130707 1
2.3%
20131008 1
2.3%
20140122 1
2.3%
ValueCountFrequency (%)
20140122 1
2.3%
20131008 1
2.3%
20130707 1
2.3%
20110822 1
2.3%
20091103 1
2.3%
20090301 1
2.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

전화번호
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing5
Missing (%)11.4%
Memory size484.0 B
2024-05-11T07:53:42.879841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.6923077
Min length8

Characters and Unicode

Total characters339
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

Unique37 ?
Unique (%)94.9%

Sample

1st row537-0017
2nd row532-6722
3rd row3472-6060
4th row596-0093
5th row534-2209
ValueCountFrequency (%)
532-5630 2
 
5.1%
02-532-1555 1
 
2.6%
02-3473-8787 1
 
2.6%
537-0017 1
 
2.6%
02-3491-0222 1
 
2.6%
585-3133 1
 
2.6%
598-1833 1
 
2.6%
583-7553 1
 
2.6%
02-536-7513 1
 
2.6%
02-588-4454 1
 
2.6%
Other values (28) 28
71.8%
2024-05-11T07:53:43.825379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 58
17.1%
3 48
14.2%
- 46
13.6%
2 34
10.0%
8 27
8.0%
0 26
7.7%
4 23
 
6.8%
7 23
 
6.8%
9 19
 
5.6%
6 18
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 293
86.4%
Dash Punctuation 46
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 58
19.8%
3 48
16.4%
2 34
11.6%
8 27
9.2%
0 26
8.9%
4 23
 
7.8%
7 23
 
7.8%
9 19
 
6.5%
6 18
 
6.1%
1 17
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 339
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 58
17.1%
3 48
14.2%
- 46
13.6%
2 34
10.0%
8 27
8.0%
0 26
7.7%
4 23
 
6.8%
7 23
 
6.8%
9 19
 
5.6%
6 18
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 339
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 58
17.1%
3 48
14.2%
- 46
13.6%
2 34
10.0%
8 27
8.0%
0 26
7.7%
4 23
 
6.8%
7 23
 
6.8%
9 19
 
5.6%
6 18
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

소재지우편번호
Text

MISSING 

Distinct25
Distinct (%)67.6%
Missing7
Missing (%)15.9%
Memory size484.0 B
2024-05-11T07:53:44.270294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0810811
Min length6

Characters and Unicode

Total characters225
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

Unique21 ?
Unique (%)56.8%

Sample

1st row137069
2nd row137069
3rd row137072
4th row137074
5th row137069
ValueCountFrequency (%)
137069 6
 
16.2%
137073 5
 
13.5%
137876 3
 
8.1%
137953 2
 
5.4%
137828 1
 
2.7%
137042 1
 
2.7%
137974 1
 
2.7%
137-880 1
 
2.7%
137882 1
 
2.7%
137839 1
 
2.7%
Other values (15) 15
40.5%
2024-05-11T07:53:45.348188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 53
23.6%
3 50
22.2%
1 37
16.4%
0 23
10.2%
8 18
 
8.0%
6 12
 
5.3%
9 11
 
4.9%
4 8
 
3.6%
2 6
 
2.7%
5 3
 
1.3%
Other values (2) 4
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
98.2%
Dash Punctuation 3
 
1.3%
Space Separator 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 53
24.0%
3 50
22.6%
1 37
16.7%
0 23
10.4%
8 18
 
8.1%
6 12
 
5.4%
9 11
 
5.0%
4 8
 
3.6%
2 6
 
2.7%
5 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 53
23.6%
3 50
22.2%
1 37
16.4%
0 23
10.2%
8 18
 
8.0%
6 12
 
5.3%
9 11
 
4.9%
4 8
 
3.6%
2 6
 
2.7%
5 3
 
1.3%
Other values (2) 4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 53
23.6%
3 50
22.2%
1 37
16.4%
0 23
10.2%
8 18
 
8.0%
6 12
 
5.3%
9 11
 
4.9%
4 8
 
3.6%
2 6
 
2.7%
5 3
 
1.3%
Other values (2) 4
 
1.8%

지번주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T07:53:46.091018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32.5
Mean length24.522727
Min length18

Characters and Unicode

Total characters1079
Distinct characters67
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 방배동 751-3
2nd row서울특별시 서초구 방배동 813-7
3rd row서울특별시 서초구 서초동 1340-1
4th row서울특별시 서초구 서초동 1303-14
5th row서울특별시 서초구 방배동 750-9
ValueCountFrequency (%)
서울특별시 44
19.9%
서초구 44
19.9%
서초동 16
 
7.2%
방배동 11
 
5.0%
서초3동 7
 
3.2%
1호 3
 
1.4%
11호 3
 
1.4%
5층 2
 
0.9%
2호 2
 
0.9%
3층 2
 
0.9%
Other values (82) 87
39.4%
2024-05-11T07:53:47.253653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
16.7%
서 113
 
10.5%
1 73
 
6.8%
초 69
 
6.4%
별 44
 
4.1%
특 44
 
4.1%
구 44
 
4.1%
동 44
 
4.1%
울 44
 
4.1%
시 44
 
4.1%
Other values (57) 380
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
57.0%
Decimal Number 261
24.2%
Space Separator 180
 
16.7%
Dash Punctuation 19
 
1.8%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 113
18.4%
초 69
11.2%
별 44
 
7.2%
특 44
 
7.2%
구 44
 
7.2%
동 44
 
7.2%
울 44
 
7.2%
시 44
 
7.2%
호 28
 
4.6%
지 25
 
4.1%
Other values (41) 116
18.9%
Decimal Number
ValueCountFrequency (%)
1 73
28.0%
3 35
13.4%
5 33
12.6%
9 26
 
10.0%
2 19
 
7.3%
7 19
 
7.3%
8 18
 
6.9%
0 16
 
6.1%
6 13
 
5.0%
4 9
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
57.0%
Common 463
42.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 113
18.4%
초 69
11.2%
별 44
 
7.2%
특 44
 
7.2%
구 44
 
7.2%
동 44
 
7.2%
울 44
 
7.2%
시 44
 
7.2%
호 28
 
4.6%
지 25
 
4.1%
Other values (41) 116
18.9%
Common
ValueCountFrequency (%)
180
38.9%
1 73
15.8%
3 35
 
7.6%
5 33
 
7.1%
9 26
 
5.6%
2 19
 
4.1%
- 19
 
4.1%
7 19
 
4.1%
8 18
 
3.9%
0 16
 
3.5%
Other values (5) 25
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
57.0%
ASCII 464
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
38.8%
1 73
15.7%
3 35
 
7.5%
5 33
 
7.1%
9 26
 
5.6%
2 19
 
4.1%
- 19
 
4.1%
7 19
 
4.1%
8 18
 
3.9%
0 16
 
3.4%
Other values (6) 26
 
5.6%
Hangul
ValueCountFrequency (%)
서 113
18.4%
초 69
11.2%
별 44
 
7.2%
특 44
 
7.2%
구 44
 
7.2%
동 44
 
7.2%
울 44
 
7.2%
시 44
 
7.2%
호 28
 
4.6%
지 25
 
4.1%
Other values (41) 116
18.9%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing15
Missing (%)34.1%
Memory size484.0 B
2024-05-11T07:53:47.882775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length30.931034
Min length23

Characters and Unicode

Total characters897
Distinct characters82
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 서초대로78길 46 (서초동)
2nd row서울특별시 서초구 방배로 227 (방배동)
3rd row서울특별시 서초구 동광로19길 145 (방배동)
4th row서울특별시 서초구 반포대로18길 40 (서초동)
5th row서울특별시 서초구 반포대로12길 33 (서초동)
ValueCountFrequency (%)
서울특별시 29
 
17.1%
서초구 29
 
17.1%
서초동 17
 
10.0%
방배동 7
 
4.1%
서초대로 3
 
1.8%
2층 3
 
1.8%
12 2
 
1.2%
반포대로14길 2
 
1.2%
반포대로12길 2
 
1.2%
40 2
 
1.2%
Other values (70) 74
43.5%
2024-05-11T07:53:49.328870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
15.7%
서 89
 
9.9%
초 60
 
6.7%
1 36
 
4.0%
동 34
 
3.8%
로 30
 
3.3%
( 29
 
3.2%
특 29
 
3.2%
별 29
 
3.2%
시 29
 
3.2%
Other values (72) 391
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
58.9%
Decimal Number 143
 
15.9%
Space Separator 141
 
15.7%
Open Punctuation 29
 
3.2%
Close Punctuation 29
 
3.2%
Other Punctuation 23
 
2.6%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 89
16.9%
초 60
11.4%
동 34
 
6.4%
로 30
 
5.7%
특 29
 
5.5%
별 29
 
5.5%
시 29
 
5.5%
구 29
 
5.5%
울 29
 
5.5%
길 21
 
4.0%
Other values (55) 149
28.2%
Decimal Number
ValueCountFrequency (%)
1 36
25.2%
2 22
15.4%
4 17
11.9%
5 16
11.2%
0 13
 
9.1%
3 13
 
9.1%
7 8
 
5.6%
8 7
 
4.9%
9 6
 
4.2%
6 5
 
3.5%
Space Separator
ValueCountFrequency (%)
141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 528
58.9%
Common 368
41.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 89
16.9%
초 60
11.4%
동 34
 
6.4%
로 30
 
5.7%
특 29
 
5.5%
별 29
 
5.5%
시 29
 
5.5%
구 29
 
5.5%
울 29
 
5.5%
길 21
 
4.0%
Other values (55) 149
28.2%
Common
ValueCountFrequency (%)
141
38.3%
1 36
 
9.8%
( 29
 
7.9%
) 29
 
7.9%
, 23
 
6.2%
2 22
 
6.0%
4 17
 
4.6%
5 16
 
4.3%
0 13
 
3.5%
3 13
 
3.5%
Other values (6) 29
 
7.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 528
58.9%
ASCII 369
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
38.2%
1 36
 
9.8%
( 29
 
7.9%
) 29
 
7.9%
, 23
 
6.2%
2 22
 
6.0%
4 17
 
4.6%
5 16
 
4.3%
0 13
 
3.5%
3 13
 
3.5%
Other values (7) 30
 
8.1%
Hangul
ValueCountFrequency (%)
서 89
16.9%
초 60
11.4%
동 34
 
6.4%
로 30
 
5.7%
특 29
 
5.5%
별 29
 
5.5%
시 29
 
5.5%
구 29
 
5.5%
울 29
 
5.5%
길 21
 
4.0%
Other values (55) 149
28.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)79.2%
Missing20
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean50373
Minimum6552
Maximum137953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:53:49.877151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6552
5-th percentile6567.15
Q16626
median6653
Q3137832.25
95-th percentile137877.7
Maximum137953
Range131401
Interquartile range (IQR)131206.25

Descriptive statistics

Standard deviation63198.341
Coefficient of variation (CV)1.2546074
Kurtosis-1.5681802
Mean50373
Median Absolute Deviation (MAD)42.5
Skewness0.75514734
Sum1208952
Variance3.9940303 × 109
MonotonicityNot monotonic
2024-05-11T07:53:50.463825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
137876 3
 
6.8%
6653 2
 
4.5%
6634 2
 
4.5%
6626 2
 
4.5%
137953 1
 
2.3%
6688 1
 
2.3%
6654 1
 
2.3%
137809 1
 
2.3%
137878 1
 
2.3%
137830 1
 
2.3%
Other values (9) 9
20.5%
(Missing) 20
45.5%
ValueCountFrequency (%)
6552 1
2.3%
6567 1
2.3%
6568 1
2.3%
6606 1
2.3%
6615 1
2.3%
6626 2
4.5%
6631 1
2.3%
6634 2
4.5%
6644 1
2.3%
6653 2
4.5%
ValueCountFrequency (%)
137953 1
 
2.3%
137878 1
 
2.3%
137876 3
6.8%
137839 1
 
2.3%
137830 1
 
2.3%
137809 1
 
2.3%
6688 1
 
2.3%
6664 1
 
2.3%
6654 1
 
2.3%
6653 2
4.5%

사업장명
Text

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T07:53:51.093864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.3409091
Min length5

Characters and Unicode

Total characters323
Distinct characters100
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)93.2%

Sample

1st row그린안마시술소
2nd row허순안마시술소
3rd row비안마시술소
4th row빼어날수안마시술소
5th rowJM안마시술소
ValueCountFrequency (%)
약손안마원 3
 
6.8%
엔자임뷰티안마원 1
 
2.3%
참손길지압힐링센터강남안마원 1
 
2.3%
로마안마시술소 1
 
2.3%
디바안마시술소 1
 
2.3%
도암안마원 1
 
2.3%
이룬안마원 1
 
2.3%
양덕윤안마원 1
 
2.3%
새아침지압안마원 1
 
2.3%
안재붕바른자세안마원 1
 
2.3%
Other values (32) 32
72.7%
2024-05-11T07:53:52.032514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 45
 
13.9%
마 45
 
13.9%
소 25
 
7.7%
시 24
 
7.4%
술 24
 
7.4%
원 21
 
6.5%
스 5
 
1.5%
손 5
 
1.5%
강 4
 
1.2%
이 3
 
0.9%
Other values (90) 122
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
99.4%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 45
 
14.0%
마 45
 
14.0%
소 25
 
7.8%
시 24
 
7.5%
술 24
 
7.5%
원 21
 
6.5%
스 5
 
1.6%
손 5
 
1.6%
강 4
 
1.2%
이 3
 
0.9%
Other values (88) 120
37.4%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
99.4%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 45
 
14.0%
마 45
 
14.0%
소 25
 
7.8%
시 24
 
7.5%
술 24
 
7.5%
원 21
 
6.5%
스 5
 
1.6%
손 5
 
1.6%
강 4
 
1.2%
이 3
 
0.9%
Other values (88) 120
37.4%
Latin
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 45
 
14.0%
마 45
 
14.0%
소 25
 
7.8%
시 24
 
7.5%
술 24
 
7.5%
원 21
 
6.5%
스 5
 
1.6%
손 5
 
1.6%
강 4
 
1.2%
이 3
 
0.9%
Other values (88) 120
37.4%
ASCII
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2008-12-17 13:13:47
Maximum2024-01-18 16:33:33
2024-05-11T07:53:52.598962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:53:53.075519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
I
35 
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 rowI

Common Values

ValueCountFrequency (%)
I 35
79.5%
U 9
 
20.5%

Length

2024-05-11T07:53:53.561539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:53.902209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
79.5%
u 9
 
20.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct12
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
2018-08-31 23:59:59.0
33 
2022-12-07 22:04:00.0
 
1
2022-11-01 00:09:00.0
 
1
2020-05-20 02:40:00.0
 
1
2023-11-30 23:02:00.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)25.0%

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 row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 33
75.0%
2022-12-07 22:04:00.0 1
 
2.3%
2022-11-01 00:09:00.0 1
 
2.3%
2020-05-20 02:40:00.0 1
 
2.3%
2023-11-30 23:02:00.0 1
 
2.3%
2020-05-31 02:40:00.0 1
 
2.3%
2018-12-20 02:40:00.0 1
 
2.3%
2021-01-13 02:40:00.0 1
 
2.3%
2022-11-02 00:07:00.0 1
 
2.3%
2019-12-28 02:40:00.0 1
 
2.3%
Other values (2) 2
 
4.5%

Length

2024-05-11T07:53:54.224369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 33
37.5%
23:59:59.0 33
37.5%
02:40:00.0 5
 
5.7%
2023-11-30 2
 
2.3%
2018-12-20 1
 
1.1%
00:06:00.0 1
 
1.1%
2023-12-01 1
 
1.1%
2019-12-28 1
 
1.1%
00:07:00.0 1
 
1.1%
2022-11-02 1
 
1.1%
Other values (9) 9
 
10.2%

업태구분명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
안마시술소
24 
안마원
20 

Length

Max length5
Median length5
Mean length4.0909091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마시술소 24
54.5%
안마원 20
45.5%

Length

2024-05-11T07:53:54.764353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:55.258559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마시술소 24
54.5%
안마원 20
45.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing14
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean200545.1
Minimum198432.35
Maximum202453.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:53:55.638532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198432.35
5-th percentile198557.57
Q1199340.97
median201089.49
Q3201295.01
95-th percentile202358.63
Maximum202453.71
Range4021.3593
Interquartile range (IQR)1954.0382

Descriptive statistics

Standard deviation1264.5611
Coefficient of variation (CV)0.0063056196
Kurtosis-1.1691349
Mean200545.1
Median Absolute Deviation (MAD)692.27248
Skewness-0.40104807
Sum6016352.9
Variance1599114.8
MonotonicityNot monotonic
2024-05-11T07:53:56.123052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
201089.485853695 2
 
4.5%
201306.275742835 1
 
2.3%
202249.059734667 1
 
2.3%
201340.743441359 1
 
2.3%
198530.823893249 1
 
2.3%
201268.750158126 1
 
2.3%
202448.275431433 1
 
2.3%
199483.77418122 1
 
2.3%
198432.354182494 1
 
2.3%
201659.832327429 1
 
2.3%
Other values (19) 19
43.2%
(Missing) 14
31.8%
ValueCountFrequency (%)
198432.354182494 1
2.3%
198530.823893249 1
2.3%
198590.26975848 1
2.3%
198649.663602053 1
2.3%
198718.507621548 1
2.3%
199018.060804446 1
2.3%
199244.449666733 1
2.3%
199293.371220762 1
2.3%
199483.77418122 1
2.3%
199513.040528302 1
2.3%
ValueCountFrequency (%)
202453.713468162 1
2.3%
202448.275431433 1
2.3%
202249.059734667 1
2.3%
201903.684337218 1
2.3%
201659.832327429 1
2.3%
201340.743441359 1
2.3%
201306.275742835 1
2.3%
201303.763442401 1
2.3%
201268.750158126 1
2.3%
201260.953060509 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing14
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean443195.35
Minimum442048.05
Maximum445089.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:53:56.529755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442048.05
5-th percentile442433.92
Q1442674.45
median443075.89
Q3443515.28
95-th percentile444544.91
Maximum445089.23
Range3041.1852
Interquartile range (IQR)840.83497

Descriptive statistics

Standard deviation705.29358
Coefficient of variation (CV)0.0015913831
Kurtosis1.2610223
Mean443195.35
Median Absolute Deviation (MAD)431.31306
Skewness1.0434461
Sum13295860
Variance497439.03
MonotonicityNot monotonic
2024-05-11T07:53:57.112786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
442562.675618668 2
 
4.5%
442909.692373918 1
 
2.3%
444042.044283805 1
 
2.3%
443441.953882834 1
 
2.3%
442807.98430926 1
 
2.3%
443518.44481178 1
 
2.3%
443505.790046604 1
 
2.3%
442667.178500845 1
 
2.3%
442643.16392201 1
 
2.3%
443593.811423528 1
 
2.3%
Other values (19) 19
43.2%
(Missing) 14
31.8%
ValueCountFrequency (%)
442048.045859017 1
2.3%
442328.58100894 1
2.3%
442562.675618668 2
4.5%
442587.00832355 1
2.3%
442611.066504981 1
2.3%
442643.16392201 1
2.3%
442667.178500845 1
2.3%
442696.249093163 1
2.3%
442747.739477572 1
2.3%
442758.770379981 1
2.3%
ValueCountFrequency (%)
445089.231098439 1
2.3%
444956.349717008 1
2.3%
444042.044283805 1
2.3%
443984.610397298 1
2.3%
443758.592229843 1
2.3%
443612.441897613 1
2.3%
443593.811423528 1
2.3%
443518.44481178 1
2.3%
443505.790046604 1
2.3%
443491.20087926 1
2.3%

의료유사업종별명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
안마시술소
21 
안마원
17 
<NA>
6 

Length

Max length5
Median length4
Mean length4.0909091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마시술소 21
47.7%
안마원 17
38.6%
<NA> 6
 
13.6%

Length

2024-05-11T07:53:57.636611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:53:58.097307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마시술소 21
47.7%
안마원 17
38.6%
na 6
 
13.6%

종업원수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)24.3%
Missing7
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean3.3513514
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:53:58.558579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile9
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8403464
Coefficient of variation (CV)0.84752271
Kurtosis1.1442864
Mean3.3513514
Median Absolute Deviation (MAD)1
Skewness1.2754265
Sum124
Variance8.0675676
MonotonicityNot monotonic
2024-05-11T07:53:59.009949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 15
34.1%
4 4
 
9.1%
2 4
 
9.1%
3 4
 
9.1%
7 3
 
6.8%
6 2
 
4.5%
9 2
 
4.5%
5 2
 
4.5%
12 1
 
2.3%
(Missing) 7
15.9%
ValueCountFrequency (%)
1 15
34.1%
2 4
 
9.1%
3 4
 
9.1%
4 4
 
9.1%
5 2
 
4.5%
6 2
 
4.5%
7 3
 
6.8%
9 2
 
4.5%
12 1
 
2.3%
ValueCountFrequency (%)
12 1
 
2.3%
9 2
 
4.5%
7 3
 
6.8%
6 2
 
4.5%
5 2
 
4.5%
4 4
 
9.1%
3 4
 
9.1%
2 4
 
9.1%
1 15
34.1%

자격증소유자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

보조종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

시설관리자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

기타종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

병상수
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)72.4%
Missing15
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:53:59.438682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median18
Q324
95-th percentile30.8
Maximum33
Range32
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.166472
Coefficient of variation (CV)0.63540447
Kurtosis-1.2484393
Mean16
Median Absolute Deviation (MAD)7
Skewness-0.1651536
Sum464
Variance103.35714
MonotonicityNot monotonic
2024-05-11T07:53:59.878447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 4
 
9.1%
20 2
 
4.5%
14 2
 
4.5%
3 2
 
4.5%
25 2
 
4.5%
18 2
 
4.5%
21 1
 
2.3%
1 1
 
2.3%
5 1
 
2.3%
15 1
 
2.3%
Other values (11) 11
25.0%
(Missing) 15
34.1%
ValueCountFrequency (%)
1 1
 
2.3%
2 4
9.1%
3 2
4.5%
5 1
 
2.3%
7 1
 
2.3%
12 1
 
2.3%
14 2
4.5%
15 1
 
2.3%
18 2
4.5%
19 1
 
2.3%
ValueCountFrequency (%)
33 1
2.3%
32 1
2.3%
29 1
2.3%
27 1
2.3%
26 1
2.3%
25 2
4.5%
24 1
2.3%
23 1
2.3%
22 1
2.3%
21 1
2.3%

욕실면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
42 
0
 
2

Length

Max length4
Median length4
Mean length3.8636364
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> 42
95.5%
0 2
 
4.5%

Length

2024-05-11T07:54:00.392642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:54:00.811868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
95.5%
0 2
 
4.5%

총면적
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)97.4%
Missing6
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean341.59868
Minimum17.62
Maximum822.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T07:54:01.315114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.62
5-th percentile31.2485
Q166.025
median260.745
Q3593.2475
95-th percentile790.9315
Maximum822.19
Range804.57
Interquartile range (IQR)527.2225

Descriptive statistics

Standard deviation287.95032
Coefficient of variation (CV)0.84294915
Kurtosis-1.5856499
Mean341.59868
Median Absolute Deviation (MAD)226.745
Skewness0.30583489
Sum12980.75
Variance82915.386
MonotonicityNot monotonic
2024-05-11T07:54:01.949255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
582.14 2
 
4.5%
147.3 1
 
2.3%
58.66 1
 
2.3%
26.99 1
 
2.3%
110.0 1
 
2.3%
70.44 1
 
2.3%
61.05 1
 
2.3%
60.0 1
 
2.3%
42.9 1
 
2.3%
76.0 1
 
2.3%
Other values (27) 27
61.4%
(Missing) 6
 
13.6%
ValueCountFrequency (%)
17.62 1
2.3%
26.99 1
2.3%
32.0 1
2.3%
36.0 1
2.3%
42.9 1
2.3%
56.2 1
2.3%
58.66 1
2.3%
60.0 1
2.3%
61.05 1
2.3%
66.0 1
2.3%
ValueCountFrequency (%)
822.19 1
2.3%
797.06 1
2.3%
789.85 1
2.3%
762.4 1
2.3%
730.6 1
2.3%
716.32 1
2.3%
709.69 1
2.3%
615.29 1
2.3%
601.43 1
2.3%
596.95 1
2.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
03210000PHMB41982321003404240000119820828<NA>3폐업3폐업20120515<NA><NA><NA>537-0017<NA>137069서울특별시 서초구 방배동 751-3<NA><NA>그린안마시술소2012-05-15 17:09:04I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소6<NA><NA><NA><NA>33<NA>490.0
13210000PHMB41983321003404240000119830908<NA>3폐업3폐업20121004<NA><NA><NA>532-6722<NA>137069서울특별시 서초구 방배동 813-7<NA><NA>허순안마시술소2012-10-04 17:55:48I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소1<NA><NA><NA><NA>2<NA>32.0
23210000PHMB41986321003404240000119860916<NA>3폐업3폐업201107292011052320110822<NA>3472-6060<NA>137072서울특별시 서초구 서초동 1340-1<NA><NA>비안마시술소2011-07-29 18:18:25I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소6<NA><NA><NA><NA>26<NA>615.29
33210000PHMB41990321003404240000119900423<NA>3폐업3폐업20110330<NA><NA><NA>596-0093<NA>137074서울특별시 서초구 서초동 1303-14<NA><NA>빼어날수안마시술소2011-03-30 19:27:11I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소4<NA><NA><NA><NA>20<NA>222.28
43210000PHMB41995321003404240000119951101<NA>3폐업3폐업20100802<NA><NA><NA>534-2209<NA>137069서울특별시 서초구 방배동 750-9<NA><NA>JM안마시술소2010-08-02 18:02:33I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소9<NA><NA><NA><NA>27<NA>716.32
53210000PHMB41996321003404240000119960718<NA>3폐업3폐업20090622<NA><NA><NA>533-4934<NA>137069서울특별시 서초구 방배동 813-2<NA><NA>이도안마시술소2009-06-22 16:05:31I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소5<NA><NA><NA><NA>23<NA>389.82
63210000PHMB41997321003404240000119971013<NA>3폐업3폐업20110608<NA><NA><NA>549-5810<NA>137030서울특별시 서초구 잠원동 15-9<NA><NA>센스안마시술소2011-06-08 18:00:18I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소2<NA><NA><NA><NA>14<NA>299.21
73210000PHMB41999321003404240000119990209<NA>3폐업3폐업200903262008120520090301<NA>587-7474<NA>137062서울특별시 서초구 방배동 2999<NA><NA>예원안마시술소2009-03-26 16:07:54I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소7<NA><NA><NA><NA>20<NA>500.79
83210000PHMB41999321003404240000219990302<NA>3폐업3폐업20081217<NA><NA><NA>549-5491<NA>137041서울특별시 서초구 반포동 746-7<NA><NA>샤넬안마시술소2008-12-17 13:13:47I2018-08-31 23:59:59.0안마시술소<NA><NA>안마시술소12<NA><NA><NA><NA>19<NA>596.95
93210000PHMB4200032100340424000012000-04-27<NA>1영업/정상13영업중<NA><NA><NA><NA>523-6357<NA>137-072서울특별시 서초구 서초동 1330-15서울특별시 서초구 서초대로78길 46 (서초동)6626티파니안마시술소2023-08-22 13:51:07U2022-12-07 22:04:00.0안마시술소202453.713468443491.200879<NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
343210000PHMB42013321003404240000220131010<NA>1영업/정상13영업중<NA><NA><NA><NA>573-3007<NA>137882서울특별시 서초구 서초4동 1691번지 1호 5층서울특별시 서초구 서초중앙로24길 18 (서초동, 5층)6606힐링캠프훈풀어드림안마원2014-11-21 11:02:25I2018-08-31 23:59:59.0안마원201303.763442443612.441898안마원1<NA><NA><NA><NA>2<NA>148.0
353210000PHMB4201432100340424000012014-03-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>137-880서울특별시 서초구 서초동 1638번지 11호 3층서울특별시 서초구 서초중앙로22길 105, 3층 (서초동)6631중앙건강안마원2024-01-10 17:49:14U2023-11-30 23:02:00.0안마원201659.832327443593.811424<NA><NA><NA><NA><NA><NA><NA><NA><NA>
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403210000PHMB4201832100340424000012018-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 1507번지서울특별시 서초구 동광로12가길 12 (방배동)6567가가보건안마원2023-12-05 09:33:03U2022-11-02 00:07:00.0안마원198530.823893442807.984309<NA><NA><NA><NA><NA><NA><NA><NA><NA>
413210000PHMB42019321003404240000120191219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3446-2808<NA><NA>서울특별시 서초구 서초동 1659번지 13호서울특별시 서초구 서초대로54길 24, 601호 동측 일부 (서초동)6634체형밸런스요법안마원2019-12-26 13:10:04U2019-12-28 02:40:00.0안마원201340.743441443441.953883안마원1<NA><NA><NA><NA>2066.1
423210000PHMB4202432100340424000012024-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1317-11 강남 누드죤빌딩서울특별시 서초구 서초대로77길 9, 강남 누드죤빌딩 9층 (서초동)6615참손길지압힐링센터강남안마원2024-01-04 15:03:46I2023-12-01 00:06:00.0안마원202249.059735444042.044284<NA><NA><NA><NA><NA><NA><NA><NA><NA>
433210000PHMB4202432100340424000022024-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1589-8 현대오피스텔서울특별시 서초구 반포대로12길 33, 현대오피스텔 지하1층 (서초동)6653색연필안마시술소2024-01-18 16:33:33I2023-11-30 22:00:00.0안마시술소201089.485854442562.675619<NA><NA><NA><NA><NA><NA><NA><NA><NA>