Overview

Dataset statistics

Number of variables34
Number of observations578
Missing cells4528
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory163.3 KiB
Average record size in memory289.2 B

Variable types

Numeric9
Text6
DateTime6
Categorical11
Unsupported2

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16486/S/1/datasetView.do

Alerts

영업상태코드 is highly imbalanced (52.2%)Imbalance
영업상태명 is highly imbalanced (52.2%)Imbalance
상세영업상태코드 is highly imbalanced (52.2%)Imbalance
상세영업상태명 is highly imbalanced (52.2%)Imbalance
자격증소유자수 is highly imbalanced (51.4%)Imbalance
보조종업원수 is highly imbalanced (51.4%)Imbalance
시설관리자수 is highly imbalanced (51.4%)Imbalance
기타종업원수 is highly imbalanced (51.4%)Imbalance
인허가취소일자 has 569 (98.4%) missing valuesMissing
폐업일자 has 210 (36.3%) missing valuesMissing
휴업시작일자 has 530 (91.7%) missing valuesMissing
휴업종료일자 has 530 (91.7%) missing valuesMissing
재개업일자 has 578 (100.0%) missing valuesMissing
전화번호 has 79 (13.7%) missing valuesMissing
소재지면적 has 578 (100.0%) missing valuesMissing
소재지우편번호 has 203 (35.1%) missing valuesMissing
지번주소 has 8 (1.4%) missing valuesMissing
도로명주소 has 55 (9.5%) missing valuesMissing
도로명우편번호 has 200 (34.6%) missing valuesMissing
좌표정보(X) has 25 (4.3%) missing valuesMissing
좌표정보(Y) has 25 (4.3%) missing valuesMissing
종업원수 has 133 (23.0%) missing valuesMissing
병상수 has 242 (41.9%) missing valuesMissing
욕실면적 has 454 (78.5%) missing valuesMissing
총면적 has 109 (18.9%) missing valuesMissing
총면적 is highly skewed (γ1 = 21.34687454)Skewed
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
종업원수 has 23 (4.0%) zerosZeros
병상수 has 34 (5.9%) zerosZeros
욕실면적 has 93 (16.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:45:39.093563
Analysis finished2024-05-11 06:45:40.883224
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3143979.2
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:45:41.095566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3010000
Q13080000
median3150000
Q33210000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation71805.724
Coefficient of variation (CV)0.022839121
Kurtosis-1.1444053
Mean3143979.2
Median Absolute Deviation (MAD)60000
Skewness-0.4351605
Sum1.81722 × 109
Variance5.156062 × 109
MonotonicityNot monotonic
2024-05-11T06:45:41.478551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3220000 91
15.7%
3210000 44
 
7.6%
3050000 42
 
7.3%
3150000 41
 
7.1%
3200000 35
 
6.1%
3230000 31
 
5.4%
3130000 24
 
4.2%
3080000 23
 
4.0%
3190000 23
 
4.0%
3140000 22
 
3.8%
Other values (15) 202
34.9%
ValueCountFrequency (%)
3000000 12
 
2.1%
3010000 19
3.3%
3020000 6
 
1.0%
3030000 13
 
2.2%
3040000 14
 
2.4%
3050000 42
7.3%
3060000 12
 
2.1%
3070000 10
 
1.7%
3080000 23
4.0%
3090000 17
2.9%
ValueCountFrequency (%)
3240000 12
 
2.1%
3230000 31
 
5.4%
3220000 91
15.7%
3210000 44
7.6%
3200000 35
 
6.1%
3190000 23
 
4.0%
3180000 19
 
3.3%
3170000 9
 
1.6%
3160000 15
 
2.6%
3150000 41
7.1%

관리번호
Text

UNIQUE 

Distinct578
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T06:45:41.976925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters14450
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

Unique578 ?
Unique (%)100.0%

Sample

1st rowPHMB419963060034042400001
2nd rowPHMB420133040033042400001
3rd rowPHMB420193080033042400001
4th rowPHMB420093050034042400002
5th rowPHMB420233140033042400001
ValueCountFrequency (%)
phmb419963060034042400001 1
 
0.2%
phmb420033210034042400003 1
 
0.2%
phmb420173200033042400001 1
 
0.2%
phmb420073200033042400003 1
 
0.2%
phmb420113200033042400001 1
 
0.2%
phmb420093200033042400003 1
 
0.2%
phmb420083200033042400001 1
 
0.2%
phmb420073200033042400001 1
 
0.2%
phmb420033200033042400001 1
 
0.2%
phmb419983200033042400001 1
 
0.2%
Other values (568) 568
98.3%
2024-05-11T06:45:43.130025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5056
35.0%
4 2076
14.4%
3 1658
 
11.5%
2 1636
 
11.3%
1 1000
 
6.9%
P 578
 
4.0%
H 578
 
4.0%
M 578
 
4.0%
B 578
 
4.0%
9 224
 
1.6%
Other values (4) 488
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12138
84.0%
Uppercase Letter 2312
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5056
41.7%
4 2076
17.1%
3 1658
 
13.7%
2 1636
 
13.5%
1 1000
 
8.2%
9 224
 
1.8%
5 153
 
1.3%
7 130
 
1.1%
8 106
 
0.9%
6 99
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 578
25.0%
H 578
25.0%
M 578
25.0%
B 578
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12138
84.0%
Latin 2312
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5056
41.7%
4 2076
17.1%
3 1658
 
13.7%
2 1636
 
13.5%
1 1000
 
8.2%
9 224
 
1.8%
5 153
 
1.3%
7 130
 
1.1%
8 106
 
0.9%
6 99
 
0.8%
Latin
ValueCountFrequency (%)
P 578
25.0%
H 578
25.0%
M 578
25.0%
B 578
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5056
35.0%
4 2076
14.4%
3 1658
 
11.5%
2 1636
 
11.3%
1 1000
 
6.9%
P 578
 
4.0%
H 578
 
4.0%
M 578
 
4.0%
B 578
 
4.0%
9 224
 
1.6%
Other values (4) 488
 
3.4%

인허가일자
Date

Distinct531
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum1976-02-17 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T06:45:43.723442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:44.431802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing569
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean20117433
Minimum20091130
Maximum20170927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:45:45.214758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091130
5-th percentile20094930
Q120100716
median20110127
Q320121107
95-th percentile20162967
Maximum20170927
Range79797
Interquartile range (IQR)20391

Descriptive statistics

Standard deviation26547.166
Coefficient of variation (CV)0.00131961
Kurtosis0.91986722
Mean20117433
Median Absolute Deviation (MAD)9497
Skewness1.3575265
Sum1.810569 × 108
Variance7.0475202 × 108
MonotonicityNot monotonic
2024-05-11T06:45:45.750114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20100716 2
 
0.3%
20100630 1
 
0.2%
20110519 1
 
0.2%
20121107 1
 
0.2%
20170927 1
 
0.2%
20091130 1
 
0.2%
20110127 1
 
0.2%
20151028 1
 
0.2%
(Missing) 569
98.4%
ValueCountFrequency (%)
20091130 1
0.2%
20100630 1
0.2%
20100716 2
0.3%
20110127 1
0.2%
20110519 1
0.2%
20121107 1
0.2%
20151028 1
0.2%
20170927 1
0.2%
ValueCountFrequency (%)
20170927 1
0.2%
20151028 1
0.2%
20121107 1
0.2%
20110519 1
0.2%
20110127 1
0.2%
20100716 2
0.3%
20100630 1
0.2%
20091130 1
0.2%

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
3
365 
1
199 
4
 
8
2
 
5
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 365
63.1%
1 199
34.4%
4 8
 
1.4%
2 5
 
0.9%
5 1
 
0.2%

Length

2024-05-11T06:45:46.405993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:46.897738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 365
63.1%
1 199
34.4%
4 8
 
1.4%
2 5
 
0.9%
5 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
폐업
365 
영업/정상
199 
취소/말소/만료/정지/중지
 
8
휴업
 
5
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.2093426
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 365
63.1%
영업/정상 199
34.4%
취소/말소/만료/정지/중지 8
 
1.4%
휴업 5
 
0.9%
제외/삭제/전출 1
 
0.2%

Length

2024-05-11T06:45:47.321886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:47.765531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 365
63.1%
영업/정상 199
34.4%
취소/말소/만료/정지/중지 8
 
1.4%
휴업 5
 
0.9%
제외/삭제/전출 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
3
365 
13
199 
24
 
8
2
 
5
98
 
1

Length

Max length2
Median length1
Mean length1.3598616
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 365
63.1%
13 199
34.4%
24 8
 
1.4%
2 5
 
0.9%
98 1
 
0.2%

Length

2024-05-11T06:45:48.417053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:48.845989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 365
63.1%
13 199
34.4%
24 8
 
1.4%
2 5
 
0.9%
98 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
폐업
365 
영업중
199 
직권폐업
 
8
휴업
 
5
기타
 
1

Length

Max length4
Median length2
Mean length2.3719723
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 365
63.1%
영업중 199
34.4%
직권폐업 8
 
1.4%
휴업 5
 
0.9%
기타 1
 
0.2%

Length

2024-05-11T06:45:49.469035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:45:50.057565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 365
63.1%
영업중 199
34.4%
직권폐업 8
 
1.4%
휴업 5
 
0.9%
기타 1
 
0.2%

폐업일자
Date

MISSING 

Distinct346
Distinct (%)94.0%
Missing210
Missing (%)36.3%
Memory size4.6 KiB
Minimum1994-10-26 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T06:45:50.509555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:51.125228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct47
Distinct (%)97.9%
Missing530
Missing (%)91.7%
Memory size4.6 KiB
Minimum2008-12-05 00:00:00
Maximum2024-05-10 00:00:00
2024-05-11T06:45:51.628921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:52.588834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

휴업종료일자
Date

MISSING 

Distinct45
Distinct (%)93.8%
Missing530
Missing (%)91.7%
Memory size4.6 KiB
Minimum2009-03-01 00:00:00
Maximum2025-10-12 00:00:00
2024-05-11T06:45:53.131437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:45:53.599544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing578
Missing (%)100.0%
Memory size5.2 KiB

전화번호
Text

MISSING 

Distinct484
Distinct (%)97.0%
Missing79
Missing (%)13.7%
Memory size4.6 KiB
2024-05-11T06:45:54.418602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.5871743
Min length7

Characters and Unicode

Total characters4784
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique469 ?
Unique (%)94.0%

Sample

1st row02-2209-6345
2nd row02-3436-7582
3rd row02-6368-6111
4th row969-1475
5th row02-2651-9468
ValueCountFrequency (%)
02-821-0300 2
 
0.4%
02-931-9890 2
 
0.4%
02 2
 
0.4%
969-1475 2
 
0.4%
02-606-6093 2
 
0.4%
2215-8344 2
 
0.4%
539-4323 2
 
0.4%
02-2272-8770 2
 
0.4%
2238-8085 2
 
0.4%
333-8821 2
 
0.4%
Other values (477) 483
96.0%
2024-05-11T06:45:56.001603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 691
14.4%
2 642
13.4%
0 516
10.8%
5 509
10.6%
3 399
8.3%
7 365
7.6%
6 356
7.4%
8 355
7.4%
9 335
7.0%
4 305
6.4%
Other values (5) 311
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4084
85.4%
Dash Punctuation 691
 
14.4%
Space Separator 4
 
0.1%
Close Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 642
15.7%
0 516
12.6%
5 509
12.5%
3 399
9.8%
7 365
8.9%
6 356
8.7%
8 355
8.7%
9 335
8.2%
4 305
7.5%
1 302
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4784
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 691
14.4%
2 642
13.4%
0 516
10.8%
5 509
10.6%
3 399
8.3%
7 365
7.6%
6 356
7.4%
8 355
7.4%
9 335
7.0%
4 305
6.4%
Other values (5) 311
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 691
14.4%
2 642
13.4%
0 516
10.8%
5 509
10.6%
3 399
8.3%
7 365
7.6%
6 356
7.4%
8 355
7.4%
9 335
7.0%
4 305
6.4%
Other values (5) 311
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing578
Missing (%)100.0%
Memory size5.2 KiB

소재지우편번호
Text

MISSING 

Distinct284
Distinct (%)75.7%
Missing203
Missing (%)35.1%
Memory size4.6 KiB
2024-05-11T06:45:56.921699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0613333
Min length5

Characters and Unicode

Total characters2273
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

Unique240 ?
Unique (%)64.0%

Sample

1st row131-859
2nd row136-111
3rd row135-937
4th row151-018
5th row03035
ValueCountFrequency (%)
130100 14
 
3.7%
135080 8
 
2.1%
157016 7
 
1.9%
137069 6
 
1.6%
135090 6
 
1.6%
137073 5
 
1.3%
157019 4
 
1.1%
142873 4
 
1.1%
139832 4
 
1.1%
143826 3
 
0.8%
Other values (274) 314
83.7%
2024-05-11T06:45:58.530162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 562
24.7%
0 365
16.1%
3 296
13.0%
8 267
11.7%
5 207
 
9.1%
2 137
 
6.0%
7 131
 
5.8%
4 106
 
4.7%
9 100
 
4.4%
6 77
 
3.4%
Other values (2) 25
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2248
98.9%
Dash Punctuation 24
 
1.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 562
25.0%
0 365
16.2%
3 296
13.2%
8 267
11.9%
5 207
 
9.2%
2 137
 
6.1%
7 131
 
5.8%
4 106
 
4.7%
9 100
 
4.4%
6 77
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 562
24.7%
0 365
16.1%
3 296
13.0%
8 267
11.7%
5 207
 
9.1%
2 137
 
6.0%
7 131
 
5.8%
4 106
 
4.7%
9 100
 
4.4%
6 77
 
3.4%
Other values (2) 25
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 562
24.7%
0 365
16.1%
3 296
13.0%
8 267
11.7%
5 207
 
9.1%
2 137
 
6.0%
7 131
 
5.8%
4 106
 
4.7%
9 100
 
4.4%
6 77
 
3.4%
Other values (2) 25
 
1.1%

지번주소
Text

MISSING 

Distinct563
Distinct (%)98.8%
Missing8
Missing (%)1.4%
Memory size4.6 KiB
2024-05-11T06:45:59.466558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length26.212281
Min length17

Characters and Unicode

Total characters14941
Distinct characters271
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique556 ?
Unique (%)97.5%

Sample

1st row서울특별시 중랑구 상봉2동 88번지 123호
2nd row서울특별시 광진구 자양동 626-2 1층
3rd row서울특별시 강북구 미아동 35-27
4th row서울특별시 동대문구 용두동 797 청량리역 해링턴플레이스 A동 513호
5th row서울특별시 양천구 목동 505-2 1층
ValueCountFrequency (%)
서울특별시 569
 
17.9%
강남구 90
 
2.8%
2층 49
 
1.5%
1호 48
 
1.5%
서초구 44
 
1.4%
동대문구 42
 
1.3%
강서구 41
 
1.3%
관악구 34
 
1.1%
2호 34
 
1.1%
3층 33
 
1.0%
Other values (981) 2186
69.0%
2024-05-11T06:46:01.088425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2610
 
17.5%
서 698
 
4.7%
1 691
 
4.6%
동 677
 
4.5%
구 601
 
4.0%
시 580
 
3.9%
울 570
 
3.8%
특 569
 
3.8%
별 569
 
3.8%
지 543
 
3.6%
Other values (261) 6833
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8842
59.2%
Decimal Number 3203
 
21.4%
Space Separator 2610
 
17.5%
Other Punctuation 93
 
0.6%
Dash Punctuation 62
 
0.4%
Open Punctuation 54
 
0.4%
Close Punctuation 53
 
0.4%
Math Symbol 13
 
0.1%
Uppercase Letter 10
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 698
 
7.9%
동 677
 
7.7%
구 601
 
6.8%
시 580
 
6.6%
울 570
 
6.4%
특 569
 
6.4%
별 569
 
6.4%
지 543
 
6.1%
호 536
 
6.1%
번 500
 
5.7%
Other values (236) 2999
33.9%
Decimal Number
ValueCountFrequency (%)
1 691
21.6%
2 486
15.2%
3 361
11.3%
4 299
9.3%
6 264
 
8.2%
5 248
 
7.7%
7 230
 
7.2%
0 222
 
6.9%
9 203
 
6.3%
8 199
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
B 2
20.0%
C 1
 
10.0%
M 1
 
10.0%
Y 1
 
10.0%
R 1
 
10.0%
S 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 85
91.4%
. 8
 
8.6%
Space Separator
ValueCountFrequency (%)
2610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8842
59.2%
Common 6088
40.7%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 698
 
7.9%
동 677
 
7.7%
구 601
 
6.8%
시 580
 
6.6%
울 570
 
6.4%
특 569
 
6.4%
별 569
 
6.4%
지 543
 
6.1%
호 536
 
6.1%
번 500
 
5.7%
Other values (236) 2999
33.9%
Common
ValueCountFrequency (%)
2610
42.9%
1 691
 
11.4%
2 486
 
8.0%
3 361
 
5.9%
4 299
 
4.9%
6 264
 
4.3%
5 248
 
4.1%
7 230
 
3.8%
0 222
 
3.6%
9 203
 
3.3%
Other values (7) 474
 
7.8%
Latin
ValueCountFrequency (%)
A 3
27.3%
B 2
18.2%
Ⅰ 1
 
9.1%
C 1
 
9.1%
M 1
 
9.1%
Y 1
 
9.1%
R 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8842
59.2%
ASCII 6098
40.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2610
42.8%
1 691
 
11.3%
2 486
 
8.0%
3 361
 
5.9%
4 299
 
4.9%
6 264
 
4.3%
5 248
 
4.1%
7 230
 
3.8%
0 222
 
3.6%
9 203
 
3.3%
Other values (14) 484
 
7.9%
Hangul
ValueCountFrequency (%)
서 698
 
7.9%
동 677
 
7.7%
구 601
 
6.8%
시 580
 
6.6%
울 570
 
6.4%
특 569
 
6.4%
별 569
 
6.4%
지 543
 
6.1%
호 536
 
6.1%
번 500
 
5.7%
Other values (236) 2999
33.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

MISSING 

Distinct510
Distinct (%)97.5%
Missing55
Missing (%)9.5%
Memory size4.6 KiB
2024-05-11T06:46:01.924071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length30.908222
Min length16

Characters and Unicode

Total characters16165
Distinct characters330
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique498 ?
Unique (%)95.2%

Sample

1st row서울특별시 중랑구 봉우재로33길 94 (상봉동)
2nd row서울특별시 광진구 자양로13길 10, 1층 (자양동)
3rd row서울특별시 강북구 도봉로 34-8, 4층 (미아동)
4th row서울특별시 동대문구 고산자로34길 70, 청량리역 해링턴플레이스 A동 513호 (용두동)
5th row서울특별시 양천구 목동중앙북로12길 24, 1층 (목동)
ValueCountFrequency (%)
서울특별시 523
 
16.8%
강남구 88
 
2.8%
2층 69
 
2.2%
3층 44
 
1.4%
동대문구 42
 
1.4%
역삼동 35
 
1.1%
관악구 34
 
1.1%
송파구 30
 
1.0%
서초구 29
 
0.9%
강서구 24
 
0.8%
Other values (1113) 2193
70.5%
2024-05-11T06:46:03.484323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2590
 
16.0%
동 693
 
4.3%
서 638
 
3.9%
구 561
 
3.5%
) 557
 
3.4%
로 557
 
3.4%
( 557
 
3.4%
시 545
 
3.4%
1 540
 
3.3%
울 524
 
3.2%
Other values (320) 8403
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9223
57.1%
Decimal Number 2607
 
16.1%
Space Separator 2590
 
16.0%
Close Punctuation 557
 
3.4%
Open Punctuation 557
 
3.4%
Other Punctuation 502
 
3.1%
Dash Punctuation 89
 
0.6%
Math Symbol 18
 
0.1%
Uppercase Letter 17
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 693
 
7.5%
서 638
 
6.9%
구 561
 
6.1%
로 557
 
6.0%
시 545
 
5.9%
울 524
 
5.7%
별 523
 
5.7%
특 523
 
5.7%
층 306
 
3.3%
길 273
 
3.0%
Other values (289) 4080
44.2%
Decimal Number
ValueCountFrequency (%)
1 540
20.7%
2 455
17.5%
3 373
14.3%
4 244
9.4%
0 233
8.9%
5 201
 
7.7%
6 154
 
5.9%
8 154
 
5.9%
7 146
 
5.6%
9 107
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
29.4%
A 4
23.5%
S 2
 
11.8%
R 1
 
5.9%
K 1
 
5.9%
T 1
 
5.9%
Y 1
 
5.9%
M 1
 
5.9%
C 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 501
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 557
100.0%
Open Punctuation
ValueCountFrequency (%)
( 557
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9223
57.1%
Common 6920
42.8%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 693
 
7.5%
서 638
 
6.9%
구 561
 
6.1%
로 557
 
6.0%
시 545
 
5.9%
울 524
 
5.7%
별 523
 
5.7%
특 523
 
5.7%
층 306
 
3.3%
길 273
 
3.0%
Other values (289) 4080
44.2%
Common
ValueCountFrequency (%)
2590
37.4%
) 557
 
8.0%
( 557
 
8.0%
1 540
 
7.8%
, 501
 
7.2%
2 455
 
6.6%
3 373
 
5.4%
4 244
 
3.5%
0 233
 
3.4%
5 201
 
2.9%
Other values (7) 669
 
9.7%
Latin
ValueCountFrequency (%)
B 5
22.7%
A 4
18.2%
S 2
 
9.1%
R 1
 
4.5%
Ⅰ 1
 
4.5%
K 1
 
4.5%
r 1
 
4.5%
e 1
 
4.5%
w 1
 
4.5%
o 1
 
4.5%
Other values (4) 4
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9223
57.1%
ASCII 6941
42.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2590
37.3%
) 557
 
8.0%
( 557
 
8.0%
1 540
 
7.8%
, 501
 
7.2%
2 455
 
6.6%
3 373
 
5.4%
4 244
 
3.5%
0 233
 
3.4%
5 201
 
2.9%
Other values (20) 690
 
9.9%
Hangul
ValueCountFrequency (%)
동 693
 
7.5%
서 638
 
6.9%
구 561
 
6.1%
로 557
 
6.0%
시 545
 
5.9%
울 524
 
5.7%
별 523
 
5.7%
특 523
 
5.7%
층 306
 
3.3%
길 273
 
3.0%
Other values (289) 4080
44.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct331
Distinct (%)87.6%
Missing200
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean28035.426
Minimum1070
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:03.952354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1070
5-th percentile1399.45
Q14026.5
median6235
Q38027.75
95-th percentile142813.45
Maximum158861
Range157791
Interquartile range (IQR)4001.25

Descriptive statistics

Standard deviation50685.158
Coefficient of variation (CV)1.8078968
Kurtosis1.2958948
Mean28035.426
Median Absolute Deviation (MAD)2088.5
Skewness1.7958187
Sum10597391
Variance2.5689852 × 109
MonotonicityNot monotonic
2024-05-11T06:46:04.501954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8737 3
 
0.5%
7013 3
 
0.5%
7803 3
 
0.5%
8022 3
 
0.5%
6329 3
 
0.5%
1405 3
 
0.5%
6159 3
 
0.5%
2570 3
 
0.5%
137876 3
 
0.5%
6110 2
 
0.3%
Other values (321) 349
60.4%
(Missing) 200
34.6%
ValueCountFrequency (%)
1070 1
0.2%
1071 1
0.2%
1073 1
0.2%
1074 1
0.2%
1081 1
0.2%
1089 1
0.2%
1112 1
0.2%
1120 1
0.2%
1144 1
0.2%
1170 1
0.2%
ValueCountFrequency (%)
158861 1
0.2%
157924 1
0.2%
157868 1
0.2%
157280 1
0.2%
157015 1
0.2%
156831 1
0.2%
153801 1
0.2%
152894 1
0.2%
152880 1
0.2%
151902 1
0.2%

사업장명
Text

Distinct499
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-05-11T06:46:05.310224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.0743945
Min length1

Characters and Unicode

Total characters4089
Distinct characters386
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

Unique444 ?
Unique (%)76.8%

Sample

1st row에이스안마시술소
2nd row힐링스토리
3rd row힐링약손안마원
4th row무병장수안마원
5th row바로고침안마원
ValueCountFrequency (%)
안마원 6
 
1.0%
스타안마시술소 5
 
0.8%
약손안마원 5
 
0.8%
평강안마원 4
 
0.7%
수안마시술소 4
 
0.7%
라파안마원 4
 
0.7%
서울보건안마원 3
 
0.5%
굿모닝안마원 3
 
0.5%
정체안마원 3
 
0.5%
드림안마시술소 3
 
0.5%
Other values (495) 549
93.2%
2024-05-11T06:46:06.893707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 573
 
14.0%
안 561
 
13.7%
원 338
 
8.3%
시 238
 
5.8%
소 235
 
5.7%
술 232
 
5.7%
지 100
 
2.4%
압 86
 
2.1%
손 62
 
1.5%
스 54
 
1.3%
Other values (376) 1610
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4008
98.0%
Uppercase Letter 38
 
0.9%
Decimal Number 19
 
0.5%
Space Separator 11
 
0.3%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 573
 
14.3%
안 561
 
14.0%
원 338
 
8.4%
시 238
 
5.9%
소 235
 
5.9%
술 232
 
5.8%
지 100
 
2.5%
압 86
 
2.1%
손 62
 
1.5%
스 54
 
1.3%
Other values (346) 1529
38.1%
Uppercase Letter
ValueCountFrequency (%)
O 7
18.4%
J 5
13.2%
S 4
10.5%
M 4
10.5%
P 3
7.9%
T 2
 
5.3%
Y 2
 
5.3%
N 2
 
5.3%
G 1
 
2.6%
R 1
 
2.6%
Other values (7) 7
18.4%
Decimal Number
ValueCountFrequency (%)
6 4
21.1%
1 4
21.1%
5 3
15.8%
9 2
10.5%
2 2
10.5%
8 1
 
5.3%
4 1
 
5.3%
3 1
 
5.3%
7 1
 
5.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4008
98.0%
Common 43
 
1.1%
Latin 38
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 573
 
14.3%
안 561
 
14.0%
원 338
 
8.4%
시 238
 
5.9%
소 235
 
5.9%
술 232
 
5.8%
지 100
 
2.5%
압 86
 
2.1%
손 62
 
1.5%
스 54
 
1.3%
Other values (346) 1529
38.1%
Latin
ValueCountFrequency (%)
O 7
18.4%
J 5
13.2%
S 4
10.5%
M 4
10.5%
P 3
7.9%
T 2
 
5.3%
Y 2
 
5.3%
N 2
 
5.3%
G 1
 
2.6%
R 1
 
2.6%
Other values (7) 7
18.4%
Common
ValueCountFrequency (%)
11
25.6%
) 6
14.0%
( 6
14.0%
6 4
 
9.3%
1 4
 
9.3%
5 3
 
7.0%
9 2
 
4.7%
2 2
 
4.7%
8 1
 
2.3%
. 1
 
2.3%
Other values (3) 3
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4008
98.0%
ASCII 81
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 573
 
14.3%
안 561
 
14.0%
원 338
 
8.4%
시 238
 
5.9%
소 235
 
5.9%
술 232
 
5.8%
지 100
 
2.5%
압 86
 
2.1%
손 62
 
1.5%
스 54
 
1.3%
Other values (346) 1529
38.1%
ASCII
ValueCountFrequency (%)
11
13.6%
O 7
 
8.6%
) 6
 
7.4%
( 6
 
7.4%
J 5
 
6.2%
S 4
 
4.9%
6 4
 
4.9%
1 4
 
4.9%
M 4
 
4.9%
P 3
 
3.7%
Other values (20) 27
33.3%

최종수정일자
Date

UNIQUE 

Distinct578
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2008-12-16 15:18:18
Maximum2024-05-09 17:25:59
2024-05-11T06:46:07.570261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:46:08.313603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
I
378 
U
200 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 378
65.4%
U 200
34.6%

Length

2024-05-11T06:46:09.180283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:09.699182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 378
65.4%
u 200
34.6%

데이터갱신일자
Date

Distinct194
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T06:46:10.388278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:46:11.041296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
안마원
337 
안마시술소
241 

Length

Max length5
Median length3
Mean length3.83391
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 337
58.3%
안마시술소 241
41.7%

Length

2024-05-11T06:46:11.671982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:12.150223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 337
58.3%
안마시술소 241
41.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct514
Distinct (%)92.9%
Missing25
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean199425.94
Minimum183039.92
Maximum213640.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:12.610901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183039.92
5-th percentile186430.3
Q1193694.63
median201803.05
Q3204657.42
95-th percentile209595.16
Maximum213640.28
Range30600.354
Interquartile range (IQR)10962.787

Descriptive statistics

Standard deviation7082.6195
Coefficient of variation (CV)0.035515035
Kurtosis-0.82842094
Mean199425.94
Median Absolute Deviation (MAD)4476.638
Skewness-0.41334822
Sum1.1028255 × 108
Variance50163499
MonotonicityNot monotonic
2024-05-11T06:46:13.164895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205437.99609028 3
 
0.5%
205430.675401509 3
 
0.5%
210658.051559152 3
 
0.5%
203303.260023977 3
 
0.5%
210562.900849903 2
 
0.3%
187953.650617003 2
 
0.3%
188723.665205598 2
 
0.3%
201658.268763917 2
 
0.3%
205400.87065435 2
 
0.3%
187703.798483792 2
 
0.3%
Other values (504) 529
91.5%
(Missing) 25
 
4.3%
ValueCountFrequency (%)
183039.924452506 1
0.2%
183366.101249557 1
0.2%
184736.337018716 1
0.2%
185163.0 1
0.2%
185318.0 1
0.2%
185520.437286264 2
0.3%
185559.921734415 1
0.2%
185573.0 1
0.2%
185648.751154822 1
0.2%
185660.0 1
0.2%
ValueCountFrequency (%)
213640.278266791 1
0.2%
212812.958062523 1
0.2%
212520.080299022 1
0.2%
212493.094982179 1
0.2%
212454.553686269 1
0.2%
212379.760911191 1
0.2%
212128.633600978 1
0.2%
212002.99495328 1
0.2%
211797.311875021 1
0.2%
211751.357714083 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct514
Distinct (%)92.9%
Missing25
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean448895.32
Minimum438683.92
Maximum463573.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:13.657725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438683.92
5-th percentile442316.26
Q1444353.68
median447947.99
Q3452035.41
95-th percentile460765.49
Maximum463573.1
Range24889.184
Interquartile range (IQR)7681.7284

Descriptive statistics

Standard deviation5619.694
Coefficient of variation (CV)0.012518941
Kurtosis-0.3178025
Mean448895.32
Median Absolute Deviation (MAD)3739.8369
Skewness0.71824969
Sum2.4823911 × 108
Variance31580961
MonotonicityNot monotonic
2024-05-11T06:46:14.194891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460765.486012553 3
 
0.5%
445034.546016578 3
 
0.5%
443620.612078283 3
 
0.5%
453148.892643354 3
 
0.5%
443555.864703206 2
 
0.3%
446905.045859132 2
 
0.3%
446911.177956532 2
 
0.3%
451217.424002883 2
 
0.3%
460681.679132551 2
 
0.3%
447098.469487983 2
 
0.3%
Other values (504) 529
91.5%
(Missing) 25
 
4.3%
ValueCountFrequency (%)
438683.918051285 1
0.2%
438711.564180845 1
0.2%
439136.966798383 1
0.2%
439144.877856068 1
0.2%
439684.762718528 1
0.2%
440356.258778085 1
0.2%
440993.064165952 1
0.2%
441467.43770264 1
0.2%
441502.542951079 1
0.2%
441616.720856604 1
0.2%
ValueCountFrequency (%)
463573.102150294 1
0.2%
463238.780964321 1
0.2%
463044.312599398 1
0.2%
462756.332743137 1
0.2%
462521.720396049 1
0.2%
462355.760084854 1
0.2%
462123.008334776 1
0.2%
461957.248131884 1
0.2%
461794.576281039 1
0.2%
461768.035208019 2
0.3%

의료유사업종별명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
안마원
276 
안마시술소
193 
<NA>
109 

Length

Max length5
Median length4
Mean length3.8564014
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 276
47.8%
안마시술소 193
33.4%
<NA> 109
 
18.9%

Length

2024-05-11T06:46:14.629873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:15.134544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 276
47.8%
안마시술소 193
33.4%
na 109
 
18.9%

종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.1%
Missing133
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean2.294382
Minimum0
Maximum13
Zeros23
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:15.569969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11
median2
Q33
95-th percentile6.8
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1204899
Coefficient of variation (CV)0.9242096
Kurtosis5.7214073
Mean2.294382
Median Absolute Deviation (MAD)1
Skewness2.2054177
Sum1021
Variance4.4964774
MonotonicityNot monotonic
2024-05-11T06:46:16.063491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 187
32.4%
2 117
20.2%
3 35
 
6.1%
4 27
 
4.7%
0 23
 
4.0%
5 18
 
3.1%
6 15
 
2.6%
7 8
 
1.4%
9 5
 
0.9%
10 3
 
0.5%
Other values (4) 7
 
1.2%
(Missing) 133
23.0%
ValueCountFrequency (%)
0 23
 
4.0%
1 187
32.4%
2 117
20.2%
3 35
 
6.1%
4 27
 
4.7%
5 18
 
3.1%
6 15
 
2.6%
7 8
 
1.4%
8 2
 
0.3%
9 5
 
0.9%
ValueCountFrequency (%)
13 1
 
0.2%
12 3
 
0.5%
11 1
 
0.2%
10 3
 
0.5%
9 5
 
0.9%
8 2
 
0.3%
7 8
 
1.4%
6 15
2.6%
5 18
3.1%
4 27
4.7%

자격증소유자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
517 
0
61 

Length

Max length4
Median length4
Mean length3.683391
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> 517
89.4%
0 61
 
10.6%

Length

2024-05-11T06:46:16.984971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:17.574652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 517
89.4%
0 61
 
10.6%

보조종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
517 
0
61 

Length

Max length4
Median length4
Mean length3.683391
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> 517
89.4%
0 61
 
10.6%

Length

2024-05-11T06:46:18.136566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:18.934829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 517
89.4%
0 61
 
10.6%

시설관리자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
517 
0
61 

Length

Max length4
Median length4
Mean length3.683391
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> 517
89.4%
0 61
 
10.6%

Length

2024-05-11T06:46:19.873648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:20.383337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 517
89.4%
0 61
 
10.6%

기타종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
517 
0
61 

Length

Max length4
Median length4
Mean length3.683391
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> 517
89.4%
0 61
 
10.6%

Length

2024-05-11T06:46:20.843572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:46:21.284659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 517
89.4%
0 61
 
10.6%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)10.7%
Missing242
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean11.247024
Minimum0
Maximum39
Zeros34
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:21.647639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q320
95-th percentile27.25
Maximum39
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.9704784
Coefficient of variation (CV)0.88649927
Kurtosis-0.90522954
Mean11.247024
Median Absolute Deviation (MAD)8
Skewness0.49864182
Sum3779
Variance99.410439
MonotonicityNot monotonic
2024-05-11T06:46:22.254225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 49
 
8.5%
0 34
 
5.9%
2 21
 
3.6%
3 21
 
3.6%
18 19
 
3.3%
20 17
 
2.9%
5 14
 
2.4%
21 12
 
2.1%
14 10
 
1.7%
4 10
 
1.7%
Other values (26) 129
22.3%
(Missing) 242
41.9%
ValueCountFrequency (%)
0 34
5.9%
1 49
8.5%
2 21
3.6%
3 21
3.6%
4 10
 
1.7%
5 14
 
2.4%
6 4
 
0.7%
7 8
 
1.4%
8 3
 
0.5%
9 6
 
1.0%
ValueCountFrequency (%)
39 1
 
0.2%
36 2
 
0.3%
35 2
 
0.3%
34 3
0.5%
33 2
 
0.3%
32 1
 
0.2%
29 2
 
0.3%
28 4
0.7%
27 6
1.0%
26 3
0.5%

욕실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)24.2%
Missing454
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean13.32371
Minimum0
Maximum300
Zeros93
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:22.728853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile71.4865
Maximum300
Range300
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation34.349045
Coefficient of variation (CV)2.5780391
Kurtosis39.214568
Mean13.32371
Median Absolute Deviation (MAD)0
Skewness5.2571162
Sum1652.14
Variance1179.8569
MonotonicityNot monotonic
2024-05-11T06:46:23.198589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 93
 
16.1%
45.41 2
 
0.3%
1.0 2
 
0.3%
80.0 1
 
0.2%
67.16 1
 
0.2%
74.11 1
 
0.2%
30.45 1
 
0.2%
72.25 1
 
0.2%
56.34 1
 
0.2%
52.0 1
 
0.2%
Other values (20) 20
 
3.5%
(Missing) 454
78.5%
ValueCountFrequency (%)
0.0 93
16.1%
1.0 2
 
0.3%
10.0 1
 
0.2%
15.18 1
 
0.2%
19.92 1
 
0.2%
20.65 1
 
0.2%
27.0 1
 
0.2%
28.2 1
 
0.2%
28.64 1
 
0.2%
30.45 1
 
0.2%
ValueCountFrequency (%)
300.0 1
0.2%
81.0 1
0.2%
80.0 1
0.2%
78.73 1
0.2%
76.8 1
0.2%
74.11 1
0.2%
72.25 1
0.2%
67.16 1
0.2%
66.96 1
0.2%
62.64 1
0.2%

총면적
Real number (ℝ)

MISSING  SKEWED 

Distinct437
Distinct (%)93.2%
Missing109
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean398.3848
Minimum8.2
Maximum62649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2024-05-11T06:46:23.737111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2
5-th percentile24.654
Q156.91
median101.19
Q3461.5
95-th percentile803.936
Maximum62649
Range62640.8
Interquartile range (IQR)404.59

Descriptive statistics

Standard deviation2894.4683
Coefficient of variation (CV)7.2655089
Kurtosis460.02432
Mean398.3848
Median Absolute Deviation (MAD)66.73
Skewness21.346875
Sum186842.47
Variance8377946.7
MonotonicityNot monotonic
2024-05-11T06:46:24.374293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 4
 
0.7%
36.0 3
 
0.5%
279.0 3
 
0.5%
787.98 3
 
0.5%
115.0 2
 
0.3%
461.5 2
 
0.3%
66.1 2
 
0.3%
68.0 2
 
0.3%
820.0 2
 
0.3%
48.38 2
 
0.3%
Other values (427) 444
76.8%
(Missing) 109
 
18.9%
ValueCountFrequency (%)
8.2 1
0.2%
9.0 1
0.2%
9.4 1
0.2%
10.0 1
0.2%
10.97 1
0.2%
12.88 1
0.2%
15.08 1
0.2%
15.78 1
0.2%
16.0 1
0.2%
16.69 1
0.2%
ValueCountFrequency (%)
62649.0 1
0.2%
2222.0 1
0.2%
1110.0 1
0.2%
1000.0 1
0.2%
829.97 1
0.2%
827.43 1
0.2%
825.91 1
0.2%
825.24 1
0.2%
824.9 1
0.2%
823.2 1
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
03060000PHMB4199630600340424000011996-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2209-6345<NA>131-859서울특별시 중랑구 상봉2동 88번지 123호서울특별시 중랑구 봉우재로33길 94 (상봉동)2151에이스안마시술소2023-03-09 09:41:07U2022-12-02 23:01:00.0안마시술소207903.915414454835.400064<NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000PHMB4201330400330424000012013-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3436-7582<NA><NA>서울특별시 광진구 자양동 626-2 1층서울특별시 광진구 자양로13길 10, 1층 (자양동)5056힐링스토리2023-03-14 14:46:10U2022-12-02 23:06:00.0안마원207275.406267448156.546916<NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000PHMB4201930800330424000012019-09-04<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>
33050000PHMB4200930500340424000022009-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA>969-1475<NA><NA>서울특별시 동대문구 용두동 797 청량리역 해링턴플레이스 A동 513호서울특별시 동대문구 고산자로34길 70, 청량리역 해링턴플레이스 A동 513호 (용두동)2560무병장수안마원2023-07-17 15:09:15U2022-12-06 23:09:00.0안마원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000PHMB4202331400330424000012023-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2651-9468<NA><NA>서울특별시 양천구 목동 505-2 1층서울특별시 양천구 목동중앙북로12길 24, 1층 (목동)7948바로고침안마원2023-04-25 15:23:05U2022-12-03 22:08:00.0안마원188492.612852449286.462627<NA><NA><NA><NA><NA><NA><NA><NA><NA>
53100000PHMB4201631000340424000022016-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>931-5550<NA><NA>서울특별시 노원구 상계동 724-1 길빌딩서울특별시 노원구 노해로 490, 길빌딩 5층 504호 (상계동)1751건강드림안마원2023-05-30 17:47:58U2022-12-06 00:01:00.0안마원205439.320706461335.356567<NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000PHMB4200432200330424000022004-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>515-7771<NA><NA>서울특별시 강남구 논현동 90번지 6호 로이빌딩 6층, 7층일부, 8층서울특별시 강남구 학동로 235, 6층,7층일부,8층 (논현동)6053다오안마시술소2023-05-31 17:07:43U2022-12-06 00:03:00.0안마시술소203025.984829445930.449607<NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000PHMB4201732200330424000022017-07-27<NA>3폐업3폐업2023-05-31<NA><NA><NA>02-2052-1681<NA><NA>서울특별시 강남구 역삼동 823번지 48호서울특별시 강남구 테헤란로10길 7, 1~3층 (역삼동)6234스타안마시술소2023-06-05 13:15:25U2022-12-06 00:08:00.0안마시술소202805.26692444046.288355<NA><NA><NA><NA><NA><NA><NA><NA><NA>
83090000PHMB4201630900330424000022016-12-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-996-7754<NA><NA>서울특별시 도봉구 창동 135-28 창동 SR스타빌서울특별시 도봉구 노해로63길 84-9, 창동 SR스타빌 3층 303호 (창동)1405조아손안마원2023-06-14 16:25:45U2022-12-05 23:06:00.0안마원204090.260849461127.032386<NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000PHMB4202332400330424000012023-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-484-7686<NA><NA>서울특별시 강동구 천호동 45-10 1층서울특별시 강동구 천중로43길 68, 1층 (천호동)5315석민지압안마원2023-06-27 10:15:46U2022-12-05 22:09:00.0안마원212454.553686449091.319509<NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
5683130000PHMB41996313003304240000119960626<NA>4취소/말소/만료/정지/중지24직권폐업20220713<NA><NA><NA>02-702-3266<NA>121100서울특별시 마포구 노고산동 106번지 52호서울특별시 마포구 백범로4길 12 (노고산동)4109엔젤안마시술소2022-07-15 15:24:57U2021-12-06 23:07:00.0안마시술소194313.827747450069.854126<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5693150000PHMB42017315003704240000220170526<NA>3폐업3폐업<NA><NA><NA><NA>0226587588<NA><NA>서울특별시 강서구 마곡동 796번지 6호 403호서울특별시 강서구 마곡중앙6로 65, 403호 (마곡동, 지투프라자)7803리커버리마사지안마원2022-07-19 15:11:54U2021-12-06 22:01:00.0안마원185318.0450914.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5703090000PHMB42022309003304240000120220726<NA>1영업/정상13영업중<NA><NA><NA><NA>02-993-3759<NA><NA>서울특별시 도봉구 창동 331-2 중앙빌딩서울특별시 도봉구 노해로65길 17, 중앙빌딩 5층 1호 (창동)1405으뜸안마원2022-08-01 14:19:04I2021-12-08 00:03:00.0안마원203996.840075461075.899847<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5713040000PHMB41982304003304240000119820417<NA>1영업/정상13영업중<NA><NA><NA><NA>3437-1018<NA><NA>서울특별시 광진구 구의동 73번지 7호 명가안마서울특별시 광진구 천호대로 696, 명가안마 2층 (구의동)4975명가2022-09-26 14:44:08U2021-12-08 22:08:00.0안마시술소208013.076977449670.858565<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5723130000PHMB4202231300330424000012022-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 487-401 2층서울특별시 마포구 월드컵북로 52, 2층 (연남동)3986홍대안마원2023-06-27 12:34:46U2022-12-05 22:09:00.0안마원192665.991384450740.174633<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5733100000PHMB4200431000340424000012004-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-932-0880<NA>139-202서울특별시 노원구 상계동 326번지 2호 3층, 4층서울특별시 노원구 노해로83길 10-11, 3층, 4층 (상계동)1695노원안마시술소2023-06-16 17:32:30U2022-12-05 23:08:00.0안마시술소205656.401793461513.856224<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5743220000PHMB4200432200330424000052004-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 142번지 23호 1~5층서울특별시 강남구 선릉로92길 43, 1~5층 (삼성동)6160상한가안마시술소2023-10-04 17:49:28U2022-10-31 00:06:00.0안마시술소204536.688635444910.803556<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5753220000PHMB4200432200330424000082004-10-28<NA>1영업/정상13영업중<NA><NA><NA><NA>561-5952<NA><NA>서울특별시 강남구 역삼동 832번지 29호 금성빌딩서울특별시 강남구 역삼로2길 15, 5층일부, 6~8층 (역삼동)6252스페셜안마시술소2023-08-11 09:51:06U2022-12-07 23:03:00.0안마시술소202728.835443349.655<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5763200000PHMB4200732000330424000022007-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA>587-1351<NA>151-080서울특별시 관악구 남현동 1062번지 15호서울특별시 관악구 남현1길 58 (남현동)<NA>용안마시술소2023-11-13 11:44:21U2022-10-31 23:05:00.0안마시술소198209.153691441502.542951<NA><NA><NA><NA><NA><NA><NA><NA><NA>
5773030000PHMB4200830300330424000011993-06-30<NA>3폐업3폐업2024-03-12<NA><NA><NA>02-2243-3787<NA><NA>서울특별시 성동구 용답동 99번지 2호 남주빌딩서울특별시 성동구 천호대로 282, 남주빌딩 4, 5층 (용답동)4804젠틀맨안마시술소2024-03-15 09:05:32U2023-12-02 23:07:00.0안마시술소204535.473963451612.328705<NA><NA><NA><NA><NA><NA><NA><NA><NA>