Overview

Dataset statistics

Number of variables34
Number of observations23
Missing cells115
Missing cells (%)14.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory298.7 B

Variable types

Categorical17
Text5
DateTime2
Unsupported3
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16366/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (61.7%)Imbalance
휴업종료일자 is highly imbalanced (57.2%)Imbalance
자격증소유자수 is highly imbalanced (74.2%)Imbalance
보조종업원수 is highly imbalanced (74.2%)Imbalance
시설관리자수 is highly imbalanced (74.2%)Imbalance
기타종업원수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 8 (34.8%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 5 (21.7%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 9 (39.1%) missing valuesMissing
지번주소 has 1 (4.3%) missing valuesMissing
도로명주소 has 1 (4.3%) missing valuesMissing
도로명우편번호 has 7 (30.4%) missing valuesMissing
병상수 has 11 (47.8%) missing valuesMissing
총면적 has 4 (17.4%) 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
병상수 has 1 (4.3%) zerosZeros

Reproduction

Analysis started2024-05-11 08:00:21.158806
Analysis finished2024-05-11 08:00:21.586656
Duration0.43 seconds
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
3080000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 23
100.0%

Length

2024-05-11T17:00:21.656904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:21.767565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T17:00:21.976744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters575
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowPHMB419793080033042400001
2nd rowPHMB419903080033042400001
3rd rowPHMB419963080033042400001
4th rowPHMB420023080033042400001
5th rowPHMB420023080033042400002
ValueCountFrequency (%)
phmb419793080033042400001 1
 
4.3%
phmb420143080033042400001 1
 
4.3%
phmb420213080033042400002 1
 
4.3%
phmb420213080033042400001 1
 
4.3%
phmb420193080033042400001 1
 
4.3%
phmb420173080033042400002 1
 
4.3%
phmb420173080033042400001 1
 
4.3%
phmb420163080033042400001 1
 
4.3%
phmb420153080033042400001 1
 
4.3%
phmb420143080033042400003 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T17:00:22.324743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 213
37.0%
4 72
 
12.5%
3 72
 
12.5%
2 55
 
9.6%
1 32
 
5.6%
8 24
 
4.2%
P 23
 
4.0%
H 23
 
4.0%
M 23
 
4.0%
B 23
 
4.0%
Other values (4) 15
 
2.6%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 213
44.1%
4 72
 
14.9%
3 72
 
14.9%
2 55
 
11.4%
1 32
 
6.6%
8 24
 
5.0%
9 9
 
1.9%
7 3
 
0.6%
6 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 (%)
0 213
44.1%
4 72
 
14.9%
3 72
 
14.9%
2 55
 
11.4%
1 32
 
6.6%
8 24
 
5.0%
9 9
 
1.9%
7 3
 
0.6%
6 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 (%)
0 213
37.0%
4 72
 
12.5%
3 72
 
12.5%
2 55
 
9.6%
1 32
 
5.6%
8 24
 
4.2%
P 23
 
4.0%
H 23
 
4.0%
M 23
 
4.0%
B 23
 
4.0%
Other values (4) 15
 
2.6%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1990-08-31 00:00:00
Maximum2023-01-02 00:00:00
2024-05-11T17:00:22.492322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:22.604162image/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

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
14 
1
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
60.9%
1 8
34.8%
4 1
 
4.3%

Length

2024-05-11T17:00:22.723543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:22.832181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
60.9%
1 8
34.8%
4 1
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
14 
영업/정상
8 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.5652174
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 14
60.9%
영업/정상 8
34.8%
취소/말소/만료/정지/중지 1
 
4.3%

Length

2024-05-11T17:00:22.945973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:23.065303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
60.9%
영업/정상 8
34.8%
취소/말소/만료/정지/중지 1
 
4.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
14 
13
8 
24
 
1

Length

Max length2
Median length1
Mean length1.3913043
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row24
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 14
60.9%
13 8
34.8%
24 1
 
4.3%

Length

2024-05-11T17:00:23.207285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:23.326780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
60.9%
13 8
34.8%
24 1
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
14 
영업중
8 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4347826
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
60.9%
영업중 8
34.8%
직권폐업 1
 
4.3%

Length

2024-05-11T17:00:23.467373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:23.598509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
60.9%
영업중 8
34.8%
직권폐업 1
 
4.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing8
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean20138678
Minimum20090722
Maximum20221031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:23.714407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090722
5-th percentile20091072
Q120105219
median20131118
Q320170968
95-th percentile20206456
Maximum20221031
Range130309
Interquartile range (IQR)65749.5

Descriptive statistics

Standard deviation42188.67
Coefficient of variation (CV)0.0020949076
Kurtosis-0.78679227
Mean20138678
Median Absolute Deviation (MAD)31007
Skewness0.67666458
Sum3.0208017 × 108
Variance1.7798839 × 109
MonotonicityNot monotonic
2024-05-11T17:00:23.864756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20131118 1
 
4.3%
20091222 1
 
4.3%
20090722 1
 
4.3%
20110121 1
 
4.3%
20100317 1
 
4.3%
20100111 1
 
4.3%
20140224 1
 
4.3%
20120709 1
 
4.3%
20171018 1
 
4.3%
20221031 1
 
4.3%
Other values (5) 5
21.7%
(Missing) 8
34.8%
ValueCountFrequency (%)
20090722 1
4.3%
20091222 1
4.3%
20100111 1
4.3%
20100317 1
4.3%
20110121 1
4.3%
20110531 1
4.3%
20120709 1
4.3%
20131118 1
4.3%
20131205 1
4.3%
20140224 1
4.3%
ValueCountFrequency (%)
20221031 1
4.3%
20200210 1
4.3%
20190716 1
4.3%
20171018 1
4.3%
20170919 1
4.3%
20140224 1
4.3%
20131205 1
4.3%
20131118 1
4.3%
20120709 1
4.3%
20110531 1
4.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
20090601
 
1
20081210
 
1
20090915
 
1

Length

Max length8
Median length4
Mean length4.5217391
Min length4

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row<NA>
2nd row20090601
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
20090601 1
 
4.3%
20081210 1
 
4.3%
20090915 1
 
4.3%

Length

2024-05-11T17:00:24.015981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:24.133829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
20090601 1
 
4.3%
20081210 1
 
4.3%
20090915 1
 
4.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
20091231
 
2
20091114
 
1

Length

Max length8
Median length4
Mean length4.5217391
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row20091231
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
20091231 2
 
8.7%
20091114 1
 
4.3%

Length

2024-05-11T17:00:24.255868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:24.393551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
20091231 2
 
8.7%
20091114 1
 
4.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing5
Missing (%)21.7%
Memory size316.0 B
2024-05-11T17:00:24.573956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.222222
Min length8

Characters and Unicode

Total characters184
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

Unique18 ?
Unique (%)100.0%

Sample

1st row981-7766
2nd row900-3746
3rd row02-983-6534
4th row02-987-8090
5th row999-9733
ValueCountFrequency (%)
02-900-6273 1
 
5.6%
02-983-6534 1
 
5.6%
989-5614 1
 
5.6%
02-902-7610 1
 
5.6%
02-6368-6111 1
 
5.6%
02-996-8877 1
 
5.6%
02-906-9990 1
 
5.6%
02-981-9988 1
 
5.6%
02-945-7543 1
 
5.6%
981-7766 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T17:00:24.968367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
17.9%
9 32
17.4%
- 31
16.8%
8 16
8.7%
2 15
8.2%
6 14
7.6%
7 13
 
7.1%
3 10
 
5.4%
1 9
 
4.9%
5 6
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 153
83.2%
Dash Punctuation 31
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
21.6%
9 32
20.9%
8 16
10.5%
2 15
9.8%
6 14
9.2%
7 13
 
8.5%
3 10
 
6.5%
1 9
 
5.9%
5 6
 
3.9%
4 5
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
17.9%
9 32
17.4%
- 31
16.8%
8 16
8.7%
2 15
8.2%
6 14
7.6%
7 13
 
7.1%
3 10
 
5.4%
1 9
 
4.9%
5 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
17.9%
9 32
17.4%
- 31
16.8%
8 16
8.7%
2 15
8.2%
6 14
7.6%
7 13
 
7.1%
3 10
 
5.4%
1 9
 
4.9%
5 6
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)57.1%
Missing9
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean142699.86
Minimum142100
Maximum142890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:25.115369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142100
5-th percentile142100
Q1142808.75
median142870
Q3142873
95-th percentile142882.2
Maximum142890
Range790
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation325.88031
Coefficient of variation (CV)0.0022836765
Kurtosis0.46949637
Mean142699.86
Median Absolute Deviation (MAD)8
Skewness-1.5464079
Sum1997798
Variance106197.98
MonotonicityNot monotonic
2024-05-11T17:00:25.266625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
142873 4
17.4%
142100 3
 
13.0%
142878 2
 
8.7%
142804 1
 
4.3%
142890 1
 
4.3%
142867 1
 
4.3%
142823 1
 
4.3%
142866 1
 
4.3%
(Missing) 9
39.1%
ValueCountFrequency (%)
142100 3
13.0%
142804 1
 
4.3%
142823 1
 
4.3%
142866 1
 
4.3%
142867 1
 
4.3%
142873 4
17.4%
142878 2
8.7%
142890 1
 
4.3%
ValueCountFrequency (%)
142890 1
 
4.3%
142878 2
8.7%
142873 4
17.4%
142867 1
 
4.3%
142866 1
 
4.3%
142823 1
 
4.3%
142804 1
 
4.3%
142100 3
13.0%

지번주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2024-05-11T17:00:25.498073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length23.181818
Min length19

Characters and Unicode

Total characters510
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 송중동 41번지 10호
2nd row서울특별시 강북구 수유3동 2번지 13호
3rd row서울특별시 강북구 수유동 104번지 1호
4th row서울특별시 강북구 미아동 160번지 1호
5th row서울특별시 강북구 수유동 191번지 24호
ValueCountFrequency (%)
서울특별시 22
19.5%
강북구 22
19.5%
수유동 8
 
7.1%
미아동 6
 
5.3%
1호 5
 
4.4%
6호 3
 
2.7%
10호 3
 
2.7%
3층 2
 
1.8%
수유1동 2
 
1.8%
191번지 2
 
1.8%
Other values (34) 38
33.6%
2024-05-11T17:00:25.857560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
17.8%
1 31
 
6.1%
서 22
 
4.3%
강 22
 
4.3%
구 22
 
4.3%
북 22
 
4.3%
동 22
 
4.3%
시 22
 
4.3%
별 22
 
4.3%
특 22
 
4.3%
Other values (35) 212
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 311
61.0%
Decimal Number 104
 
20.4%
Space Separator 91
 
17.8%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
7.1%
강 22
 
7.1%
구 22
 
7.1%
북 22
 
7.1%
동 22
 
7.1%
시 22
 
7.1%
별 22
 
7.1%
특 22
 
7.1%
울 22
 
7.1%
번 20
 
6.4%
Other values (23) 93
29.9%
Decimal Number
ValueCountFrequency (%)
1 31
29.8%
4 14
13.5%
2 11
 
10.6%
0 10
 
9.6%
9 9
 
8.7%
3 9
 
8.7%
7 6
 
5.8%
6 5
 
4.8%
5 5
 
4.8%
8 4
 
3.8%
Space Separator
ValueCountFrequency (%)
91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
61.0%
Common 199
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
7.1%
강 22
 
7.1%
구 22
 
7.1%
북 22
 
7.1%
동 22
 
7.1%
시 22
 
7.1%
별 22
 
7.1%
특 22
 
7.1%
울 22
 
7.1%
번 20
 
6.4%
Other values (23) 93
29.9%
Common
ValueCountFrequency (%)
91
45.7%
1 31
 
15.6%
4 14
 
7.0%
2 11
 
5.5%
0 10
 
5.0%
9 9
 
4.5%
3 9
 
4.5%
7 6
 
3.0%
6 5
 
2.5%
5 5
 
2.5%
Other values (2) 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 311
61.0%
ASCII 199
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
45.7%
1 31
 
15.6%
4 14
 
7.0%
2 11
 
5.5%
0 10
 
5.0%
9 9
 
4.5%
3 9
 
4.5%
7 6
 
3.0%
6 5
 
2.5%
5 5
 
2.5%
Other values (2) 8
 
4.0%
Hangul
ValueCountFrequency (%)
서 22
 
7.1%
강 22
 
7.1%
구 22
 
7.1%
북 22
 
7.1%
동 22
 
7.1%
시 22
 
7.1%
별 22
 
7.1%
특 22
 
7.1%
울 22
 
7.1%
번 20
 
6.4%
Other values (23) 93
29.9%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)90.9%
Missing1
Missing (%)4.3%
Memory size316.0 B
2024-05-11T17:00:26.101746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length28.181818
Min length22

Characters and Unicode

Total characters620
Distinct characters64
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row서울특별시 강북구 월계로3길 5 (미아동)
2nd row서울특별시 강북구 수유로23길 6 (수유동)
3rd row서울특별시 강북구 덕릉로26길 14 (수유동)
4th row서울특별시 강북구 덕릉로 92 (미아동)
5th row서울특별시 강북구 도봉로89길 5-11 (수유동)
ValueCountFrequency (%)
서울특별시 22
17.6%
강북구 22
17.6%
수유동 11
 
8.8%
미아동 8
 
6.4%
도봉로 5
 
4.0%
1층 2
 
1.6%
3층 2
 
1.6%
5 2
 
1.6%
번동 2
 
1.6%
월계로3길 2
 
1.6%
Other values (43) 47
37.6%
2024-05-11T17:00:26.502256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
16.6%
서 22
 
3.5%
구 22
 
3.5%
) 22
 
3.5%
동 22
 
3.5%
( 22
 
3.5%
울 22
 
3.5%
로 22
 
3.5%
북 22
 
3.5%
강 22
 
3.5%
Other values (54) 319
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
56.8%
Space Separator 103
 
16.6%
Decimal Number 98
 
15.8%
Close Punctuation 22
 
3.5%
Open Punctuation 22
 
3.5%
Other Punctuation 15
 
2.4%
Dash Punctuation 7
 
1.1%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
6.2%
구 22
 
6.2%
동 22
 
6.2%
울 22
 
6.2%
로 22
 
6.2%
북 22
 
6.2%
강 22
 
6.2%
시 22
 
6.2%
별 22
 
6.2%
특 22
 
6.2%
Other values (38) 132
37.5%
Decimal Number
ValueCountFrequency (%)
1 21
21.4%
3 17
17.3%
2 12
12.2%
0 9
9.2%
6 8
 
8.2%
4 8
 
8.2%
5 7
 
7.1%
8 6
 
6.1%
7 5
 
5.1%
9 5
 
5.1%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
56.8%
Common 267
43.1%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
6.2%
구 22
 
6.2%
동 22
 
6.2%
울 22
 
6.2%
로 22
 
6.2%
북 22
 
6.2%
강 22
 
6.2%
시 22
 
6.2%
별 22
 
6.2%
특 22
 
6.2%
Other values (38) 132
37.5%
Common
ValueCountFrequency (%)
103
38.6%
) 22
 
8.2%
( 22
 
8.2%
1 21
 
7.9%
3 17
 
6.4%
, 15
 
5.6%
2 12
 
4.5%
0 9
 
3.4%
6 8
 
3.0%
4 8
 
3.0%
Other values (5) 30
 
11.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
56.8%
ASCII 268
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
38.4%
) 22
 
8.2%
( 22
 
8.2%
1 21
 
7.8%
3 17
 
6.3%
, 15
 
5.6%
2 12
 
4.5%
0 9
 
3.4%
6 8
 
3.0%
4 8
 
3.0%
Other values (6) 31
 
11.6%
Hangul
ValueCountFrequency (%)
서 22
 
6.2%
구 22
 
6.2%
동 22
 
6.2%
울 22
 
6.2%
로 22
 
6.2%
북 22
 
6.2%
강 22
 
6.2%
시 22
 
6.2%
별 22
 
6.2%
특 22
 
6.2%
Other values (38) 132
37.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing7
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean27649.125
Minimum1070
Maximum142867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:26.653109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1070
5-th percentile1070.75
Q11079.25
median1132
Q31220
95-th percentile142819.75
Maximum142867
Range141797
Interquartile range (IQR)140.75

Descriptive statistics

Standard deviation57027.043
Coefficient of variation (CV)2.0625261
Kurtosis1.285059
Mean27649.125
Median Absolute Deviation (MAD)58.5
Skewness1.7719531
Sum442386
Variance3.2520836 × 109
MonotonicityNot monotonic
2024-05-11T17:00:26.786083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1220 2
 
8.7%
142804 1
 
4.3%
142867 1
 
4.3%
1112 1
 
4.3%
1074 1
 
4.3%
142100 1
 
4.3%
1170 1
 
4.3%
1144 1
 
4.3%
1171 1
 
4.3%
1071 1
 
4.3%
Other values (5) 5
21.7%
(Missing) 7
30.4%
ValueCountFrequency (%)
1070 1
4.3%
1071 1
4.3%
1073 1
4.3%
1074 1
4.3%
1081 1
4.3%
1089 1
4.3%
1112 1
4.3%
1120 1
4.3%
1144 1
4.3%
1170 1
4.3%
ValueCountFrequency (%)
142867 1
4.3%
142804 1
4.3%
142100 1
4.3%
1220 2
8.7%
1171 1
4.3%
1170 1
4.3%
1144 1
4.3%
1120 1
4.3%
1112 1
4.3%
1089 1
4.3%

사업장명
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T17:00:27.019098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.7391304
Min length2

Characters and Unicode

Total characters155
Distinct characters61
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row인어공주안마시술소
2nd row지에프안마시술소
3rd row한양안마시술소
4th row늘봄
5th row스패샬안마시술소
ValueCountFrequency (%)
화광안마원 2
 
8.7%
한양안마시술소 2
 
8.7%
레인보우안마원 1
 
4.3%
번동안마원 1
 
4.3%
박덕화안마원 1
 
4.3%
대성안마원 1
 
4.3%
힐링약손안마원 1
 
4.3%
장태수정통안마원 1
 
4.3%
명성지압안마원 1
 
4.3%
강재만안마원 1
 
4.3%
Other values (11) 11
47.8%
2024-05-11T17:00:27.374046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 22
 
14.2%
마 22
 
14.2%
원 13
 
8.4%
시 9
 
5.8%
술 9
 
5.8%
소 9
 
5.8%
지 4
 
2.6%
화 3
 
1.9%
스 3
 
1.9%
압 3
 
1.9%
Other values (51) 58
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
96.8%
Uppercase Letter 3
 
1.9%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 22
14.7%
마 22
14.7%
원 13
 
8.7%
시 9
 
6.0%
술 9
 
6.0%
소 9
 
6.0%
지 4
 
2.7%
화 3
 
2.0%
스 3
 
2.0%
압 3
 
2.0%
Other values (46) 53
35.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
Y 1
33.3%
X 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
96.8%
Latin 3
 
1.9%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 22
14.7%
마 22
14.7%
원 13
 
8.7%
시 9
 
6.0%
술 9
 
6.0%
소 9
 
6.0%
지 4
 
2.7%
화 3
 
2.0%
스 3
 
2.0%
압 3
 
2.0%
Other values (46) 53
35.3%
Latin
ValueCountFrequency (%)
N 1
33.3%
Y 1
33.3%
X 1
33.3%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
96.8%
ASCII 5
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 22
14.7%
마 22
14.7%
원 13
 
8.7%
시 9
 
6.0%
술 9
 
6.0%
소 9
 
6.0%
지 4
 
2.7%
화 3
 
2.0%
스 3
 
2.0%
압 3
 
2.0%
Other values (46) 53
35.3%
ASCII
ValueCountFrequency (%)
N 1
20.0%
( 1
20.0%
Y 1
20.0%
X 1
20.0%
) 1
20.0%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2009-07-22 14:10:50
Maximum2023-09-27 13:03:58
2024-05-11T17:00:27.493263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:27.611219image/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
16 
U
7 

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 16
69.6%
U 7
30.4%

Length

2024-05-11T17:00:27.727423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:27.830545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 16
69.6%
u 7
30.4%

데이터갱신일자
Categorical

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
2018-08-31 23:59:59.0
14 
2021-11-01 00:02:00.0
 
1
2020-02-12 02:40:00.0
 
1
2021-12-04 23:04:00.0
 
1
2019-09-06 02:40:00.0
 
1
Other values (5)
5 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)39.1%

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 14
60.9%
2021-11-01 00:02:00.0 1
 
4.3%
2020-02-12 02:40:00.0 1
 
4.3%
2021-12-04 23:04:00.0 1
 
4.3%
2019-09-06 02:40:00.0 1
 
4.3%
2019-07-18 02:40:00.0 1
 
4.3%
2022-12-02 23:08:00.0 1
 
4.3%
2021-06-13 00:22:54.0 1
 
4.3%
2021-09-02 00:22:59.0 1
 
4.3%
2022-12-08 22:09:00.0 1
 
4.3%

Length

2024-05-11T17:00:27.924792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:28.052224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 14
30.4%
23:59:59.0 14
30.4%
02:40:00.0 3
 
6.5%
2022-12-02 1
 
2.2%
2022-12-08 1
 
2.2%
00:22:59.0 1
 
2.2%
2021-09-02 1
 
2.2%
00:22:54.0 1
 
2.2%
2021-06-13 1
 
2.2%
23:08:00.0 1
 
2.2%
Other values (8) 8
17.4%

업태구분명
Categorical

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

Length

Max length5
Median length3
Mean length3.8695652
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 13
56.5%
안마시술소 10
43.5%

Length

2024-05-11T17:00:28.211069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:28.330925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 13
56.5%
안마시술소 10
43.5%

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202089.79
Minimum201133.79
Maximum202963.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:28.430555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201133.79
5-th percentile201585.01
Q1201900.59
median202041.26
Q3202236.43
95-th percentile202684.37
Maximum202963.25
Range1829.462
Interquartile range (IQR)335.83797

Descriptive statistics

Standard deviation402.85481
Coefficient of variation (CV)0.0019934446
Kurtosis0.84041266
Mean202089.79
Median Absolute Deviation (MAD)193.43979
Skewness0.092278555
Sum4648065.3
Variance162292
MonotonicityNot monotonic
2024-05-11T17:00:28.560747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
202684.373860963 2
 
8.7%
201900.587689769 2
 
8.7%
202197.869410554 2
 
8.7%
202314.47965444 1
 
4.3%
201817.188993797 1
 
4.3%
202090.002929805 1
 
4.3%
201133.786669613 1
 
4.3%
202651.533350789 1
 
4.3%
202018.314788709 1
 
4.3%
201803.051998272 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
201133.786669613 1
4.3%
201578.38256506 1
4.3%
201644.680476579 1
4.3%
201803.051998272 1
4.3%
201817.188993797 1
4.3%
201900.587689769 2
8.7%
201916.65583049 1
4.3%
201929.796944792 1
4.3%
202018.314788709 1
4.3%
202032.757631932 1
4.3%
ValueCountFrequency (%)
202963.24867625 1
4.3%
202684.373860963 2
8.7%
202651.533350789 1
4.3%
202314.47965444 1
4.3%
202238.152570365 1
4.3%
202234.698756565 1
4.3%
202197.869410554 2
8.7%
202091.614494625 1
4.3%
202090.002929805 1
4.3%
202041.258964104 1
4.3%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458716.08
Minimum456417.05
Maximum459959.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:28.683119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456417.05
5-th percentile456441.39
Q1458359.65
median459064.83
Q3459362.99
95-th percentile459704.59
Maximum459959.56
Range3542.5059
Interquartile range (IQR)1003.3413

Descriptive statistics

Standard deviation1024.4049
Coefficient of variation (CV)0.0022332004
Kurtosis0.88914409
Mean458716.08
Median Absolute Deviation (MAD)430.32977
Skewness-1.3213983
Sum10550470
Variance1049405.5
MonotonicityNot monotonic
2024-05-11T17:00:28.810134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
456417.052514595 2
 
8.7%
459064.833069514 2
 
8.7%
459588.676336168 2
 
8.7%
457821.853133872 1
 
4.3%
459225.777543421 1
 
4.3%
459431.506851292 1
 
4.3%
459372.950448922 1
 
4.3%
456660.462023001 1
 
4.3%
459959.558385943 1
 
4.3%
458634.503303993 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
456417.052514595 2
8.7%
456660.462023001 1
4.3%
457821.853133872 1
4.3%
458040.445530583 1
4.3%
458114.72644578 1
4.3%
458604.563826165 1
4.3%
458634.503303993 1
4.3%
458897.514498657 1
4.3%
459010.204340661 1
4.3%
459064.833069514 2
8.7%
ValueCountFrequency (%)
459959.558385943 1
4.3%
459717.468816897 1
4.3%
459588.676336168 2
8.7%
459431.506851292 1
4.3%
459372.950448922 1
4.3%
459353.022444479 1
4.3%
459259.443978524 1
4.3%
459225.777543421 1
4.3%
459132.038300644 1
4.3%
459092.697524253 1
4.3%

의료유사업종별명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
안마원
11 
안마시술소
8 
<NA>
4 

Length

Max length5
Median length4
Mean length3.8695652
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 11
47.8%
안마시술소 8
34.8%
<NA> 4
 
17.4%

Length

2024-05-11T17:00:28.946550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:29.048852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 11
47.8%
안마시술소 8
34.8%
na 4
 
17.4%

종업원수
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
11 
2
5 
<NA>
4 
4
 
1
9
 
1

Length

Max length4
Median length1
Mean length1.5217391
Min length1

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row4
2nd row9
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 11
47.8%
2 5
21.7%
<NA> 4
 
17.4%
4 1
 
4.3%
9 1
 
4.3%
3 1
 
4.3%

Length

2024-05-11T17:00:29.157698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:29.515028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
47.8%
2 5
21.7%
na 4
 
17.4%
4 1
 
4.3%
9 1
 
4.3%
3 1
 
4.3%

자격증소유자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T17:00:29.636291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:29.735268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

보조종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T17:00:29.834406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:29.947937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

시설관리자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T17:00:30.059620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:30.149762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

기타종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T17:00:30.251144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:30.344333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)83.3%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean13.75
Minimum0
Maximum25
Zeros1
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:30.428398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q15.5
median18.5
Q320.5
95-th percentile23.9
Maximum25
Range25
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.4688484
Coefficient of variation (CV)0.68864352
Kurtosis-1.6165619
Mean13.75
Median Absolute Deviation (MAD)5.5
Skewness-0.47198997
Sum165
Variance89.659091
MonotonicityNot monotonic
2024-05-11T17:00:30.536029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20 2
 
8.7%
1 2
 
8.7%
23 1
 
4.3%
19 1
 
4.3%
25 1
 
4.3%
18 1
 
4.3%
22 1
 
4.3%
9 1
 
4.3%
0 1
 
4.3%
7 1
 
4.3%
(Missing) 11
47.8%
ValueCountFrequency (%)
0 1
4.3%
1 2
8.7%
7 1
4.3%
9 1
4.3%
18 1
4.3%
19 1
4.3%
20 2
8.7%
22 1
4.3%
23 1
4.3%
25 1
4.3%
ValueCountFrequency (%)
25 1
4.3%
23 1
4.3%
22 1
4.3%
20 2
8.7%
19 1
4.3%
18 1
4.3%
9 1
4.3%
7 1
4.3%
1 2
8.7%
0 1
4.3%

욕실면적
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
15 
0.0
4 
45.41
2 
62.64
 
1
78.73
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row<NA>
3rd row45.41
4th row0.0
5th row62.64

Common Values

ValueCountFrequency (%)
<NA> 15
65.2%
0.0 4
 
17.4%
45.41 2
 
8.7%
62.64 1
 
4.3%
78.73 1
 
4.3%

Length

2024-05-11T17:00:30.659322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:30.770926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
65.2%
0.0 4
 
17.4%
45.41 2
 
8.7%
62.64 1
 
4.3%
78.73 1
 
4.3%

총면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing4
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean230.60316
Minimum22.9
Maximum714.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T17:00:30.866951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.9
5-th percentile24.538
Q144.24
median84.87
Q3391.34
95-th percentile694.006
Maximum714.58
Range691.68
Interquartile range (IQR)347.1

Descriptive statistics

Standard deviation228.70087
Coefficient of variation (CV)0.99175081
Kurtosis-0.20993803
Mean230.60316
Median Absolute Deviation (MAD)61.97
Skewness0.94814375
Sum4381.46
Variance52304.087
MonotonicityNot monotonic
2024-05-11T17:00:30.981903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
391.34 2
 
8.7%
24.72 1
 
4.3%
231.32 1
 
4.3%
66.56 1
 
4.3%
74.25 1
 
4.3%
45.0 1
 
4.3%
60.0 1
 
4.3%
84.87 1
 
4.3%
43.48 1
 
4.3%
714.58 1
 
4.3%
Other values (8) 8
34.8%
(Missing) 4
17.4%
ValueCountFrequency (%)
22.9 1
4.3%
24.72 1
4.3%
34.8 1
4.3%
37.5 1
4.3%
43.48 1
4.3%
45.0 1
4.3%
60.0 1
4.3%
66.56 1
4.3%
74.25 1
4.3%
84.87 1
4.3%
ValueCountFrequency (%)
714.58 1
4.3%
691.72 1
4.3%
465.48 1
4.3%
454.84 1
4.3%
391.34 2
8.7%
300.85 1
4.3%
245.91 1
4.3%
231.32 1
4.3%
84.87 1
4.3%
74.25 1
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
03080000PHMB41979308003304240000120020816<NA>4취소/말소/만료/정지/중지24직권폐업20131118<NA><NA><NA>981-7766<NA>142804서울특별시 강북구 송중동 41번지 10호서울특별시 강북구 월계로3길 5 (미아동)142804인어공주안마시술소2013-12-04 11:17:26I2018-08-31 23:59:59.0안마시술소202684.373861456417.052515안마시술소4<NA><NA><NA><NA>23<NA>714.58
13080000PHMB41990308003304240000119900831<NA>3폐업3폐업200912222009060120091231<NA>900-3746<NA>142890서울특별시 강북구 수유3동 2번지 13호서울특별시 강북구 수유로23길 6 (수유동)<NA>지에프안마시술소2009-12-22 19:56:21I2018-08-31 23:59:59.0안마시술소201916.65583459353.022444안마시술소9<NA><NA><NA><NA>19<NA>245.91
23080000PHMB41996308003304240000119960113<NA>3폐업3폐업20090722<NA><NA><NA>02-983-6534<NA>142873서울특별시 강북구 수유동 104번지 1호서울특별시 강북구 덕릉로26길 14 (수유동)<NA>한양안마시술소2009-07-22 14:10:50I2018-08-31 23:59:59.0안마시술소201900.58769459064.83307안마시술소2<NA><NA><NA><NA>2045.41391.34
33080000PHMB42002308003304240000120021212<NA>3폐업3폐업20110121<NA><NA><NA>02-987-8090<NA>142100서울특별시 강북구 미아동 160번지 1호서울특별시 강북구 덕릉로 92 (미아동)<NA>늘봄2011-01-21 15:07:14I2018-08-31 23:59:59.0안마시술소202041.258964459132.038301안마시술소2<NA><NA><NA><NA>250.0454.84
43080000PHMB42002308003304240000220021204<NA>3폐업3폐업20100317<NA><NA><NA>999-9733<NA>142878서울특별시 강북구 수유동 191번지 24호서울특별시 강북구 도봉로89길 5-11 (수유동)<NA>스패샬안마시술소2010-03-17 15:21:56I2018-08-31 23:59:59.0안마시술소202197.869411459588.676336안마시술소2<NA><NA><NA><NA>1862.64465.48
53080000PHMB42003308003304240000120030215<NA>3폐업3폐업201001112008121020091231<NA>02-988-8000<NA>142873서울특별시 강북구 수유동 48번지 14호<NA><NA>킹안마시술소2010-01-11 12:52:57I2018-08-31 23:59:59.0안마시술소201929.796945459092.697524안마시술소2<NA><NA><NA><NA>2278.73691.72
63080000PHMB42008308003304240000120050128<NA>3폐업3폐업201402242009091520091114<NA>905-0116<NA>142867서울특별시 강북구 번1동 449번지 1호서울특별시 강북구 도봉로 308 (번동)142867닉스(NYX)안마시술소2014-02-25 09:48:23I2018-08-31 23:59:59.0안마시술소202032.757632459259.443979안마시술소2<NA><NA><NA><NA>9<NA>300.85
73080000PHMB42009308003304240000120090911<NA>3폐업3폐업20120709<NA><NA><NA><NA><NA>142873서울특별시 강북구 수유1동 104번지 1호서울특별시 강북구 덕릉로26길 14 (수유동)<NA>한양안마시술소2012-07-09 13:25:38I2018-08-31 23:59:59.0안마시술소201900.58769459064.83307안마시술소3<NA><NA><NA><NA>2045.41391.34
83080000PHMB42009308003304240000220091130<NA>3폐업3폐업20171018<NA><NA><NA>02-983-0065<NA>142873서울특별시 강북구 수유1동 49번지 27호서울특별시 강북구 수유로 30 (수유동)1112예침지압안마원2017-10-18 15:35:47I2018-08-31 23:59:59.0안마원201644.680477459010.204341안마원1<NA><NA><NA><NA>1<NA>37.5
93080000PHMB42010308003304240000120101105<NA>3폐업3폐업20221031<NA><NA><NA>02-900-6273<NA>142878서울특별시 강북구 수유3동 191번지 24호서울특별시 강북구 도봉로89길 5-11 (수유동)1074친구안마시술소2022-10-31 18:05:22U2021-11-01 00:02:00.0안마시술소202197.869411459588.676336<NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
133080000PHMB42014308003304240000220200210<NA>3폐업3폐업20200210<NA><NA><NA>02-989-7037<NA>142866서울특별시 강북구 번동 510번지 10호서울특별시 강북구 오현로31길 113-16 (번동)1144번동안마원2020-02-10 15:38:53U2020-02-12 02:40:00.0안마원202963.248676458897.514499안마원1<NA><NA><NA><NA><NA>0.043.48
143080000PHMB42014308003304240000320141226<NA>1영업/정상13영업중<NA><NA><NA><NA>02-945-7543<NA>142100서울특별시 강북구 미아동 1351번지서울특별시 강북구 도봉로 157, 201호 (미아동, 두원프라자)1171레인보우안마원2014-12-29 17:53:02I2018-08-31 23:59:59.0안마원202314.479654457821.853134안마원1<NA><NA><NA><NA><NA><NA>84.87
153080000PHMB42015308003304240000120150417<NA>1영업/정상13영업중<NA><NA><NA><NA>02-981-9988<NA><NA>서울특별시 강북구 미아동 41번지 10호서울특별시 강북구 월계로3길 5, 2-4층 (미아동)1220스타안마시술소2022-05-12 17:44:03U2021-12-04 23:04:00.0안마시술소202684.373861456417.052515<NA><NA><NA><NA><NA><NA><NA><NA><NA>
163080000PHMB42016308003304240000120160314<NA>1영업/정상13영업중<NA><NA><NA><NA>02-906-9990<NA><NA>서울특별시 강북구 수유동 190번지 49호 일심빌딩 3층서울특별시 강북구 한천로139길 10, 3층 (수유동, 일심빌딩)1071강재만안마원2019-09-04 11:07:24U2019-09-06 02:40:00.0안마원202234.698757459717.468817안마원1<NA><NA><NA><NA><NA><NA>60.0
173080000PHMB42017308003304240000120170516<NA>3폐업3폐업20190716<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 238번지 6호서울특별시 강북구 삼양로74길 60, 1층 (미아동)1120명성지압안마원2019-07-16 13:25:08U2019-07-18 02:40:00.0안마원201803.051998458634.503304안마원1<NA><NA><NA><NA><NA><NA>45.0
183080000PHMB42017308003304240000220170529<NA>1영업/정상13영업중<NA><NA><NA><NA>02-996-8877<NA><NA>서울특별시 강북구 수유동 189번지 1호 3층 우측서울특별시 강북구 한천로 1073, 3층 (수유동, 만양빌딩)1070장태수정통안마원2017-05-31 08:55:05I2018-08-31 23:59:59.0안마원202018.314789459959.558386안마원1<NA><NA><NA><NA>0<NA>74.25
193080000PHMB4201930800330424000012019-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6368-6111<NA><NA>서울특별시 강북구 미아동 35-27서울특별시 강북구 도봉로 34-8, 4층 (미아동)1220힐링약손안마원2023-03-15 09:35:09U2022-12-02 23:08:00.0안마원202651.533351456660.462023<NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000PHMB42021308003304240000120210608<NA>1영업/정상13영업중<NA><NA><NA><NA>02-902-7610<NA><NA>서울특별시 강북구 수유동 421-18서울특별시 강북구 인수봉로56길 9-2, 1층 (수유동)1089대성안마원2021-06-11 10:57:34I2021-06-13 00:22:54.0안마원201133.78667459372.950449안마원1<NA><NA><NA><NA>10.066.56
213080000PHMB42021308003304240000220210826<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 229-15 수성타워서울특별시 강북구 도봉로 325, 수성타워 11층 (수유동)1073박덕화안마원2021-08-31 13:35:56I2021-09-02 00:22:59.0안마원202090.00293459431.506851안마원1000070.0231.32
223080000PHMB4202330800330424000012023-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-907-0999<NA><NA>서울특별시 강북구 수유동 45-96 진산빌라서울특별시 강북구 도봉로81길 30-8, B02호 (수유동, 진산빌라)1081국가공인안마원2023-09-27 13:03:58U2022-12-08 22:09:00.0안마원201817.188994459225.777543<NA><NA><NA><NA><NA><NA><NA><NA><NA>