Overview

Dataset statistics

Number of variables29
Number of observations660
Missing cells4009
Missing cells (%)20.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.0 KiB
Average record size in memory248.2 B

Variable types

Categorical9
DateTime4
Text4
Numeric10
Unsupported2

Dataset

Description의료유사업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=TRBQS6B01VJFXLP1POK228813182&infSeq=1

Alerts

통합영업상태명 is highly imbalanced (53.0%)Imbalance
영업상태명 is highly imbalanced (53.0%)Imbalance
인허가취소일자 has 640 (97.0%) missing valuesMissing
폐업일자 has 303 (45.9%) missing valuesMissing
휴업시작일자 has 558 (84.5%) missing valuesMissing
휴업종료일자 has 558 (84.5%) missing valuesMissing
재개업일자 has 660 (100.0%) missing valuesMissing
소재지시설전화번호 has 127 (19.2%) missing valuesMissing
소재지면적정보 has 660 (100.0%) missing valuesMissing
소재지도로명주소 has 10 (1.5%) missing valuesMissing
X좌표값 has 21 (3.2%) missing valuesMissing
Y좌표값 has 21 (3.2%) missing valuesMissing
종업원수 has 15 (2.3%) missing valuesMissing
병상수 has 105 (15.9%) missing valuesMissing
욕실면적 has 319 (48.3%) missing valuesMissing
총면적 is highly skewed (γ1 = 24.53426443)Skewed
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종업원수 has 30 (4.5%) zerosZeros
병상수 has 58 (8.8%) zerosZeros
욕실면적 has 227 (34.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:26:06.815646
Analysis finished2023-12-10 21:26:07.496674
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
수원시
73 
부천시
72 
성남시
60 
고양시
55 
안산시
48 
Other values (27)
352 

Length

Max length4
Median length3
Mean length3.0924242
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row가평군
2nd row가평군
3rd row가평군
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
수원시 73
 
11.1%
부천시 72
 
10.9%
성남시 60
 
9.1%
고양시 55
 
8.3%
안산시 48
 
7.3%
안양시 40
 
6.1%
화성시 37
 
5.6%
의정부시 34
 
5.2%
용인시 28
 
4.2%
시흥시 25
 
3.8%
Other values (22) 188
28.5%

Length

2023-12-11T06:26:07.558860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 73
 
11.1%
부천시 72
 
10.9%
성남시 60
 
9.1%
고양시 55
 
8.3%
안산시 48
 
7.3%
안양시 40
 
6.1%
화성시 37
 
5.6%
의정부시 34
 
5.2%
용인시 28
 
4.2%
시흥시 25
 
3.8%
Other values (22) 188
28.5%

인허가일자
Date

Distinct614
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum1971-09-09 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T06:26:07.663498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:26:07.770397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장명
Text

Distinct519
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T06:26:08.001981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.9787879
Min length1

Characters and Unicode

Total characters4606
Distinct characters382
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique436 ?
Unique (%)66.1%

Sample

1st row약손안마원
2nd row엄지안마원
3rd row오손도손건강안마원
4th row가나안안마원
5th row건강드림안마원
ValueCountFrequency (%)
안마원 10
 
1.5%
킹안마시술소 8
 
1.2%
수안마시술소 7
 
1.0%
약손안마원 7
 
1.0%
스타안마시술소 7
 
1.0%
건강안마원 6
 
0.9%
일심안마시술소 5
 
0.7%
동경안마시술소 4
 
0.6%
지압 4
 
0.6%
안마시술소 4
 
0.6%
Other values (518) 624
91.0%
2023-12-11T06:26:08.345513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 656
14.2%
마 654
14.2%
시 338
 
7.3%
소 333
 
7.2%
술 332
 
7.2%
원 319
 
6.9%
지 128
 
2.8%
압 112
 
2.4%
손 57
 
1.2%
건 46
 
1.0%
Other values (372) 1631
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4521
98.2%
Uppercase Letter 29
 
0.6%
Space Separator 26
 
0.6%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Decimal Number 8
 
0.2%
Other Punctuation 4
 
0.1%
Other Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 656
14.5%
마 654
14.5%
시 338
 
7.5%
소 333
 
7.4%
술 332
 
7.3%
원 319
 
7.1%
지 128
 
2.8%
압 112
 
2.5%
손 57
 
1.3%
건 46
 
1.0%
Other values (347) 1546
34.2%
Uppercase Letter
ValueCountFrequency (%)
V 4
13.8%
F 3
10.3%
S 3
10.3%
C 3
10.3%
M 2
 
6.9%
E 2
 
6.9%
P 2
 
6.9%
N 2
 
6.9%
J 2
 
6.9%
A 1
 
3.4%
Other values (5) 5
17.2%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
% 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 5
62.5%
1 3
37.5%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4521
98.2%
Common 56
 
1.2%
Latin 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 656
14.5%
마 654
14.5%
시 338
 
7.5%
소 333
 
7.4%
술 332
 
7.3%
원 319
 
7.1%
지 128
 
2.8%
압 112
 
2.5%
손 57
 
1.3%
건 46
 
1.0%
Other values (347) 1546
34.2%
Latin
ValueCountFrequency (%)
V 4
13.8%
F 3
10.3%
S 3
10.3%
C 3
10.3%
M 2
 
6.9%
E 2
 
6.9%
P 2
 
6.9%
N 2
 
6.9%
J 2
 
6.9%
A 1
 
3.4%
Other values (5) 5
17.2%
Common
ValueCountFrequency (%)
26
46.4%
( 8
 
14.3%
) 8
 
14.3%
0 5
 
8.9%
1 3
 
5.4%
, 2
 
3.6%
. 1
 
1.8%
₂ 1
 
1.8%
+ 1
 
1.8%
% 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4521
98.2%
ASCII 84
 
1.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 656
14.5%
마 654
14.5%
시 338
 
7.5%
소 333
 
7.4%
술 332
 
7.3%
원 319
 
7.1%
지 128
 
2.8%
압 112
 
2.5%
손 57
 
1.3%
건 46
 
1.0%
Other values (347) 1546
34.2%
ASCII
ValueCountFrequency (%)
26
31.0%
( 8
 
9.5%
) 8
 
9.5%
0 5
 
6.0%
V 4
 
4.8%
F 3
 
3.6%
1 3
 
3.6%
S 3
 
3.6%
C 3
 
3.6%
M 2
 
2.4%
Other values (14) 19
22.6%
None
ValueCountFrequency (%)
₂ 1
100.0%

인허가취소일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing640
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean20115014
Minimum20090206
Maximum20171219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:08.444304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090206
5-th percentile20090206
Q120090374
median20101163
Q320140916
95-th percentile20151640
Maximum20171219
Range81013
Interquartile range (IQR)50542.25

Descriptive statistics

Standard deviation26780.42
Coefficient of variation (CV)0.0013313647
Kurtosis-0.95626488
Mean20115014
Median Absolute Deviation (MAD)10957
Skewness0.70320051
Sum4.0230028 × 108
Variance7.1719088 × 108
MonotonicityNot monotonic
2023-12-11T06:26:08.538128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20090206 5
 
0.8%
20130404 1
 
0.2%
20150609 1
 
0.2%
20171219 1
 
0.2%
20100415 1
 
0.2%
20110621 1
 
0.2%
20090629 1
 
0.2%
20100120 1
 
0.2%
20101224 1
 
0.2%
20150209 1
 
0.2%
Other values (6) 6
 
0.9%
(Missing) 640
97.0%
ValueCountFrequency (%)
20090206 5
0.8%
20090430 1
 
0.2%
20090629 1
 
0.2%
20100120 1
 
0.2%
20100415 1
 
0.2%
20101102 1
 
0.2%
20101224 1
 
0.2%
20110621 1
 
0.2%
20120118 1
 
0.2%
20130404 1
 
0.2%
ValueCountFrequency (%)
20171219 1
0.2%
20150609 1
0.2%
20150209 1
0.2%
20150129 1
0.2%
20141202 1
0.2%
20140821 1
0.2%
20130404 1
0.2%
20120118 1
0.2%
20110621 1
0.2%
20101224 1
0.2%

통합영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
360 
영업/정상
292 
휴업
 
4
취소/말소/만료/정지/중지
 
3
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.3909091
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 360
54.5%
영업/정상 292
44.2%
휴업 4
 
0.6%
취소/말소/만료/정지/중지 3
 
0.5%
제외/삭제/전출 1
 
0.2%

Length

2023-12-11T06:26:08.641658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:08.738506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 360
54.5%
영업/정상 292
44.2%
휴업 4
 
0.6%
취소/말소/만료/정지/중지 3
 
0.5%
제외/삭제/전출 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
360 
영업중
292 
휴업
 
4
직권폐업
 
3
기타
 
1

Length

Max length4
Median length2
Mean length2.4515152
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 360
54.5%
영업중 292
44.2%
휴업 4
 
0.6%
직권폐업 3
 
0.5%
기타 1
 
0.2%

Length

2023-12-11T06:26:08.838596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:08.926643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 360
54.5%
영업중 292
44.2%
휴업 4
 
0.6%
직권폐업 3
 
0.5%
기타 1
 
0.2%

폐업일자
Date

MISSING 

Distinct341
Distinct (%)95.5%
Missing303
Missing (%)45.9%
Memory size5.3 KiB
Minimum2005-06-10 00:00:00
Maximum2023-11-22 00:00:00
2023-12-11T06:26:09.013166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:26:09.137020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct102
Distinct (%)100.0%
Missing558
Missing (%)84.5%
Memory size5.3 KiB
Minimum2008-09-18 00:00:00
Maximum2023-11-27 00:00:00
2023-12-11T06:26:09.254581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:26:09.389152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct95
Distinct (%)93.1%
Missing558
Missing (%)84.5%
Memory size5.3 KiB
Minimum2008-10-26 00:00:00
Maximum2024-12-31 00:00:00
2023-12-11T06:26:09.507009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:26:09.638537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing660
Missing (%)100.0%
Memory size5.9 KiB

소재지시설전화번호
Text

MISSING 

Distinct516
Distinct (%)96.8%
Missing127
Missing (%)19.2%
Memory size5.3 KiB
2023-12-11T06:26:09.877124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length10.838649
Min length7

Characters and Unicode

Total characters5777
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique499 ?
Unique (%)93.6%

Sample

1st row031-581-1271
2nd row1577-7570
3rd row070-8955-2200
4th row031-968-4372
5th row901-7237
ValueCountFrequency (%)
966-8575 2
 
0.4%
031-351-7187 2
 
0.4%
031-235-5316 2
 
0.4%
031)266-7275 2
 
0.4%
031-504-7766 2
 
0.4%
031-410-4475 2
 
0.4%
031-793-7708 2
 
0.4%
032-328-5844 2
 
0.4%
031-205-8597 2
 
0.4%
708-3691 2
 
0.4%
Other values (506) 513
96.2%
2023-12-11T06:26:10.203703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 886
15.3%
3 722
12.5%
0 681
11.8%
1 664
11.5%
7 497
8.6%
2 492
8.5%
5 429
7.4%
8 422
7.3%
6 348
 
6.0%
4 324
 
5.6%
Other values (5) 312
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4882
84.5%
Dash Punctuation 886
 
15.3%
Close Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 722
14.8%
0 681
13.9%
1 664
13.6%
7 497
10.2%
2 492
10.1%
5 429
8.8%
8 422
8.6%
6 348
7.1%
4 324
6.6%
9 303
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 886
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5777
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 886
15.3%
3 722
12.5%
0 681
11.8%
1 664
11.5%
7 497
8.6%
2 492
8.5%
5 429
7.4%
8 422
7.3%
6 348
 
6.0%
4 324
 
5.6%
Other values (5) 312
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 886
15.3%
3 722
12.5%
0 681
11.8%
1 664
11.5%
7 497
8.6%
2 492
8.5%
5 429
7.4%
8 422
7.3%
6 348
 
6.0%
4 324
 
5.6%
Other values (5) 312
 
5.4%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing660
Missing (%)100.0%
Memory size5.9 KiB

소재지도로명주소
Text

MISSING 

Distinct630
Distinct (%)96.9%
Missing10
Missing (%)1.5%
Memory size5.3 KiB
2023-12-11T06:26:10.455413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length32.390769
Min length16

Characters and Unicode

Total characters21054
Distinct characters374
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique611 ?
Unique (%)94.0%

Sample

1st row경기도 가평군 조종면 조종새싹로 20-5, 현대정육점
2nd row경기도 가평군 가평읍 오리나무길 15-1 (주연테크)
3rd row경기도 가평군 가평읍 옥골길 3
4th row경기도 고양시 덕양구 호국로811번길 31, 1층층 (주교동)
5th row경기도 고양시 일산동구 일산로 460, 석우빌딩 502호 (정발산동)
ValueCountFrequency (%)
경기도 648
 
15.0%
부천시 72
 
1.7%
수원시 71
 
1.6%
성남시 59
 
1.4%
고양시 54
 
1.2%
안산시 48
 
1.1%
분당구 44
 
1.0%
2층 43
 
1.0%
3층 43
 
1.0%
안양시 39
 
0.9%
Other values (1461) 3207
74.1%
2023-12-11T06:26:10.805821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3704
 
17.6%
동 727
 
3.5%
, 690
 
3.3%
경 688
 
3.3%
시 680
 
3.2%
기 662
 
3.1%
도 658
 
3.1%
1 656
 
3.1%
로 619
 
2.9%
) 613
 
2.9%
Other values (364) 11357
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11639
55.3%
Space Separator 3704
 
17.6%
Decimal Number 3619
 
17.2%
Other Punctuation 701
 
3.3%
Close Punctuation 613
 
2.9%
Open Punctuation 613
 
2.9%
Dash Punctuation 124
 
0.6%
Math Symbol 26
 
0.1%
Uppercase Letter 13
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 727
 
6.2%
경 688
 
5.9%
시 680
 
5.8%
기 662
 
5.7%
도 658
 
5.7%
로 619
 
5.3%
구 341
 
2.9%
호 305
 
2.6%
층 294
 
2.5%
길 265
 
2.3%
Other values (337) 6400
55.0%
Decimal Number
ValueCountFrequency (%)
1 656
18.1%
2 512
14.1%
0 450
12.4%
3 446
12.3%
4 321
8.9%
5 290
8.0%
6 268
7.4%
7 238
 
6.6%
9 223
 
6.2%
8 215
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
C 2
15.4%
S 2
15.4%
R 1
 
7.7%
J 1
 
7.7%
O 1
 
7.7%
H 1
 
7.7%
I 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 690
98.4%
. 11
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 22
84.6%
～ 4
 
15.4%
Space Separator
ValueCountFrequency (%)
3704
100.0%
Close Punctuation
ValueCountFrequency (%)
) 613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 613
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11639
55.3%
Common 9400
44.6%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 727
 
6.2%
경 688
 
5.9%
시 680
 
5.8%
기 662
 
5.7%
도 658
 
5.7%
로 619
 
5.3%
구 341
 
2.9%
호 305
 
2.6%
층 294
 
2.5%
길 265
 
2.3%
Other values (337) 6400
55.0%
Common
ValueCountFrequency (%)
3704
39.4%
, 690
 
7.3%
1 656
 
7.0%
) 613
 
6.5%
( 613
 
6.5%
2 512
 
5.4%
0 450
 
4.8%
3 446
 
4.7%
4 321
 
3.4%
5 290
 
3.1%
Other values (8) 1105
 
11.8%
Latin
ValueCountFrequency (%)
B 4
26.7%
C 2
13.3%
Ⅱ 2
13.3%
S 2
13.3%
R 1
 
6.7%
J 1
 
6.7%
O 1
 
6.7%
H 1
 
6.7%
I 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11639
55.3%
ASCII 9409
44.7%
None 4
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3704
39.4%
, 690
 
7.3%
1 656
 
7.0%
) 613
 
6.5%
( 613
 
6.5%
2 512
 
5.4%
0 450
 
4.8%
3 446
 
4.7%
4 321
 
3.4%
5 290
 
3.1%
Other values (15) 1114
 
11.8%
Hangul
ValueCountFrequency (%)
동 727
 
6.2%
경 688
 
5.9%
시 680
 
5.8%
기 662
 
5.7%
도 658
 
5.7%
로 619
 
5.3%
구 341
 
2.9%
호 305
 
2.6%
층 294
 
2.5%
길 265
 
2.3%
Other values (337) 6400
55.0%
None
ValueCountFrequency (%)
～ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지지번주소
Text

Distinct651
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T06:26:11.081688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43.5
Mean length27.630303
Min length11

Characters and Unicode

Total characters18236
Distinct characters322
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique642 ?
Unique (%)97.3%

Sample

1st row경기도 가평군 조종면 현리 277-4번지 현대정육점
2nd row경기도 가평군 가평읍 대곡리 239번지 20호
3rd row경기도 가평군 가평읍 읍내리 618번지 6호
4th row경기도 고양시 덕양구 주교동 618번지 2호
5th row경기도 고양시 일산동구 정발산동 1139 석우빌딩 502호
ValueCountFrequency (%)
경기도 658
 
16.4%
부천시 72
 
1.8%
1호 60
 
1.5%
2호 51
 
1.3%
3호 46
 
1.1%
수원시 46
 
1.1%
안양시 39
 
1.0%
고양시 38
 
0.9%
안산시 38
 
0.9%
화성시 37
 
0.9%
Other values (1370) 2915
72.9%
2023-12-11T06:26:11.712900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3397
 
18.6%
1 747
 
4.1%
동 701
 
3.8%
시 684
 
3.8%
도 670
 
3.7%
기 667
 
3.7%
경 661
 
3.6%
지 587
 
3.2%
호 581
 
3.2%
번 536
 
2.9%
Other values (312) 9005
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10529
57.7%
Decimal Number 3923
 
21.5%
Space Separator 3397
 
18.6%
Dash Punctuation 198
 
1.1%
Other Punctuation 116
 
0.6%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Math Symbol 17
 
0.1%
Uppercase Letter 15
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 701
 
6.7%
시 684
 
6.5%
도 670
 
6.4%
기 667
 
6.3%
경 661
 
6.3%
지 587
 
5.6%
호 581
 
5.5%
번 536
 
5.1%
구 333
 
3.2%
층 209
 
2.0%
Other values (284) 4900
46.5%
Decimal Number
ValueCountFrequency (%)
1 747
19.0%
2 492
12.5%
0 447
11.4%
3 423
10.8%
4 382
9.7%
5 341
8.7%
6 326
8.3%
7 295
 
7.5%
8 275
 
7.0%
9 195
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
46.7%
S 2
 
13.3%
O 1
 
6.7%
J 1
 
6.7%
R 1
 
6.7%
C 1
 
6.7%
I 1
 
6.7%
H 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 103
88.8%
. 13
 
11.2%
Math Symbol
ValueCountFrequency (%)
~ 13
76.5%
～ 4
 
23.5%
Space Separator
ValueCountFrequency (%)
3397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10529
57.7%
Common 7687
42.2%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 701
 
6.7%
시 684
 
6.5%
도 670
 
6.4%
기 667
 
6.3%
경 661
 
6.3%
지 587
 
5.6%
호 581
 
5.5%
번 536
 
5.1%
구 333
 
3.2%
층 209
 
2.0%
Other values (284) 4900
46.5%
Common
ValueCountFrequency (%)
3397
44.2%
1 747
 
9.7%
2 492
 
6.4%
0 447
 
5.8%
3 423
 
5.5%
4 382
 
5.0%
5 341
 
4.4%
6 326
 
4.2%
7 295
 
3.8%
8 275
 
3.6%
Other values (8) 562
 
7.3%
Latin
ValueCountFrequency (%)
B 7
35.0%
l 3
15.0%
S 2
 
10.0%
Ⅱ 2
 
10.0%
O 1
 
5.0%
J 1
 
5.0%
R 1
 
5.0%
C 1
 
5.0%
I 1
 
5.0%
H 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10529
57.7%
ASCII 7701
42.2%
None 4
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3397
44.1%
1 747
 
9.7%
2 492
 
6.4%
0 447
 
5.8%
3 423
 
5.5%
4 382
 
5.0%
5 341
 
4.4%
6 326
 
4.2%
7 295
 
3.8%
8 275
 
3.6%
Other values (16) 576
 
7.5%
Hangul
ValueCountFrequency (%)
동 701
 
6.7%
시 684
 
6.5%
도 670
 
6.4%
기 667
 
6.3%
경 661
 
6.3%
지 587
 
5.6%
호 581
 
5.5%
번 536
 
5.1%
구 333
 
3.2%
층 209
 
2.0%
Other values (284) 4900
46.5%
None
ValueCountFrequency (%)
～ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

소재지우편번호
Real number (ℝ)

Distinct383
Distinct (%)58.2%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean14328.847
Minimum1781
Maximum18611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:11.825289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1781
5-th percentile10402
Q112226.5
median14544
Q316326.75
95-th percentile18291.8
Maximum18611
Range16830
Interquartile range (IQR)4100.25

Descriptive statistics

Standard deviation2415.4902
Coefficient of variation (CV)0.16857534
Kurtosis0.089846087
Mean14328.847
Median Absolute Deviation (MAD)1919
Skewness-0.31401909
Sum9428381
Variance5834592.9
MonotonicityNot monotonic
2023-12-11T06:26:11.931014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15865 10
 
1.5%
13558 9
 
1.4%
16489 8
 
1.2%
10402 8
 
1.2%
14543 7
 
1.1%
13591 7
 
1.1%
15461 7
 
1.1%
14544 7
 
1.1%
16705 7
 
1.1%
10364 6
 
0.9%
Other values (373) 582
88.2%
ValueCountFrequency (%)
1781 1
0.2%
6977 1
0.2%
10018 2
0.3%
10067 1
0.2%
10071 2
0.3%
10098 1
0.2%
10120 1
0.2%
10264 1
0.2%
10303 1
0.2%
10343 1
0.2%
ValueCountFrequency (%)
18611 1
0.2%
18598 1
0.2%
18593 2
0.3%
18584 2
0.3%
18577 1
0.2%
18567 2
0.3%
18524 1
0.2%
18478 1
0.2%
18455 2
0.3%
18454 1
0.2%

위도
Real number (ℝ)

Distinct600
Distinct (%)91.6%
Missing5
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean37.435832
Minimum36.961199
Maximum38.093739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:12.041561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.961199
5-th percentile37.148877
Q137.298323
median37.391805
Q337.597177
95-th percentile37.760927
Maximum38.093739
Range1.13254
Interquartile range (IQR)0.29885372

Descriptive statistics

Standard deviation0.19977945
Coefficient of variation (CV)0.0053365836
Kurtosis-0.15530144
Mean37.435832
Median Absolute Deviation (MAD)0.1143697
Skewness0.3577421
Sum24520.47
Variance0.039911827
MonotonicityNot monotonic
2023-12-11T06:26:12.150383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3185929 4
 
0.6%
37.3578376 4
 
0.6%
37.2510773432 3
 
0.5%
37.2142131351 3
 
0.5%
37.5065933 3
 
0.5%
37.3009782 3
 
0.5%
37.3146714 3
 
0.5%
37.7360679 3
 
0.5%
37.281921172 2
 
0.3%
37.2545081228 2
 
0.3%
Other values (590) 625
94.7%
(Missing) 5
 
0.8%
ValueCountFrequency (%)
36.9611993528 1
0.2%
36.9862174 2
0.3%
36.9866826423 1
0.2%
36.9867765 2
0.3%
36.988802637 1
0.2%
36.9894903681 1
0.2%
36.9915214885 1
0.2%
36.991908 1
0.2%
36.9987412 1
0.2%
36.9996339902 1
0.2%
ValueCountFrequency (%)
38.0937393912 1
0.2%
38.027859042 1
0.2%
38.0221651103 1
0.2%
37.9125692046 1
0.2%
37.9113589 1
0.2%
37.9094743295 1
0.2%
37.9014412 1
0.2%
37.9013188725 1
0.2%
37.9002808707 1
0.2%
37.9000782 1
0.2%

경도
Real number (ℝ)

Distinct600
Distinct (%)91.6%
Missing5
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean126.97848
Minimum126.59895
Maximum127.63692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:12.260594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59895
5-th percentile126.7516
Q1126.82654
median126.99193
Q3127.09546
95-th percentile127.25932
Maximum127.63692
Range1.037971
Interquartile range (IQR)0.26892681

Descriptive statistics

Standard deviation0.17963207
Coefficient of variation (CV)0.0014146655
Kurtosis0.87816721
Mean126.97848
Median Absolute Deviation (MAD)0.13483622
Skewness0.69988953
Sum83170.903
Variance0.032267679
MonotonicityNot monotonic
2023-12-11T06:26:12.380281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8364676 4
 
0.6%
126.931534 4
 
0.6%
127.0759722705 3
 
0.5%
127.0428740955 3
 
0.5%
126.7527434 3
 
0.5%
126.8646586 3
 
0.5%
126.8287713 3
 
0.5%
127.043904 3
 
0.5%
126.9723443825 2
 
0.3%
127.074983256 2
 
0.3%
Other values (590) 625
94.7%
(Missing) 5
 
0.8%
ValueCountFrequency (%)
126.5989451 2
0.3%
126.6217276255 1
0.2%
126.6266409118 1
0.2%
126.6425477725 1
0.2%
126.7085168 1
0.2%
126.7126755132 1
0.2%
126.7177913261 1
0.2%
126.7229477 2
0.3%
126.7229957738 1
0.2%
126.7240866123 1
0.2%
ValueCountFrequency (%)
127.6369161077 1
0.2%
127.6346173531 1
0.2%
127.6332167 1
0.2%
127.633193309 1
0.2%
127.631967936 1
0.2%
127.5834433 1
0.2%
127.5142947962 1
0.2%
127.511602697 1
0.2%
127.5003506728 1
0.2%
127.4954375 1
0.2%

업태구분명정보
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
안마시술소
342 
안마원
318 

Length

Max length5
Median length5
Mean length4.0363636
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마시술소 342
51.8%
안마원 318
48.2%

Length

2023-12-11T06:26:12.498285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:12.591402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마시술소 342
51.8%
안마원 318
48.2%

X좌표값
Real number (ℝ)

MISSING 

Distinct570
Distinct (%)89.2%
Missing21
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean197739.35
Minimum164561.32
Maximum256199.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:12.702135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164561.32
5-th percentile177996.24
Q1184580.48
median199137.97
Q3207868.27
95-th percentile219146.35
Maximum256199.19
Range91637.87
Interquartile range (IQR)23287.785

Descriptive statistics

Standard deviation15422.889
Coefficient of variation (CV)0.077996054
Kurtosis0.85913321
Mean197739.35
Median Absolute Deviation (MAD)11978.047
Skewness0.66312962
Sum1.2635545 × 108
Variance2.3786551 × 108
MonotonicityNot monotonic
2023-12-11T06:26:12.822495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203806.383546212 4
 
0.6%
193867.983361702 4
 
0.6%
185438.522300612 4
 
0.6%
184755.226056783 3
 
0.5%
206668.083223409 3
 
0.5%
187935.467260334 3
 
0.5%
203734.759393688 3
 
0.5%
178096.0 3
 
0.5%
202441.960057908 2
 
0.3%
182854.566705445 2
 
0.3%
Other values (560) 608
92.1%
(Missing) 21
 
3.2%
ValueCountFrequency (%)
164561.317493598 1
0.2%
166542.983302429 1
0.2%
166979.003897802 1
0.2%
168386.564732168 1
0.2%
174568.105 1
0.2%
175051.536682254 1
0.2%
175388.795895061 2
0.3%
175397.0 1
0.2%
175481.899179082 1
0.2%
175894.187116584 1
0.2%
ValueCountFrequency (%)
256199.187020889 1
0.2%
256079.290022065 1
0.2%
256055.605498701 1
0.2%
256037.253832 1
0.2%
251684.920661 1
0.2%
245209.862624048 1
0.2%
244966.221873852 1
0.2%
244183.859454947 1
0.2%
244183.0 1
0.2%
243448.934069213 1
0.2%

Y좌표값
Real number (ℝ)

MISSING 

Distinct570
Distinct (%)89.2%
Missing21
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean437137.92
Minimum384412.95
Maximum510134.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:12.940134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384412.95
5-th percentile405187.03
Q1421935.91
median432202.34
Q3454993.95
95-th percentile473255.25
Maximum510134.2
Range125721.25
Interquartile range (IQR)33058.037

Descriptive statistics

Standard deviation22197.115
Coefficient of variation (CV)0.050778288
Kurtosis-0.15109619
Mean437137.92
Median Absolute Deviation (MAD)12691.659
Skewness0.3685189
Sum2.7933113 × 108
Variance4.9271193 × 108
MonotonicityNot monotonic
2023-12-11T06:26:13.058518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
470409.047868313 4
 
0.6%
428433.188969967 4
 
0.6%
424085.645643092 4
 
0.6%
423654.73405875 3
 
0.5%
416573.383989387 3
 
0.5%
422133.124850977 3
 
0.5%
412480.974351001 3
 
0.5%
444975.0 3
 
0.5%
419321.940117708 2
 
0.3%
425997.669826713 2
 
0.3%
Other values (560) 608
92.1%
(Missing) 21
 
3.2%
ValueCountFrequency (%)
384412.953724685 1
0.2%
387196.777463375 1
0.2%
387243.672679203 1
0.2%
387253.505571082 2
0.3%
387467.218933002 1
0.2%
387553.092312806 1
0.2%
387772.560856652 1
0.2%
387821.935447642 1
0.2%
388580.460072804 1
0.2%
388671.898918524 1
0.2%
ValueCountFrequency (%)
510134.204133546 1
0.2%
502789.116442134 1
0.2%
502156.615092633 1
0.2%
489989.933856885 1
0.2%
489866.047987855 1
0.2%
489644.633404803 1
0.2%
489011.386074967 1
0.2%
488743.726110851 1
0.2%
488627.008483066 1
0.2%
488614.223925351 1
0.2%

의료유사업종별명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
안마시술소
342 
안마원
318 

Length

Max length5
Median length5
Mean length4.0363636
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마시술소 342
51.8%
안마원 318
48.2%

Length

2023-12-11T06:26:13.177586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:13.265728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마시술소 342
51.8%
안마원 318
48.2%

종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.2%
Missing15
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean2.3503876
Minimum0
Maximum28
Zeros30
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:13.347034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum28
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9972078
Coefficient of variation (CV)0.84973552
Kurtosis45.149074
Mean2.3503876
Median Absolute Deviation (MAD)1
Skewness4.6303276
Sum1516
Variance3.9888391
MonotonicityNot monotonic
2023-12-11T06:26:13.443070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 213
32.3%
1 194
29.4%
3 98
14.8%
4 54
 
8.2%
0 30
 
4.5%
5 25
 
3.8%
6 12
 
1.8%
7 6
 
0.9%
11 3
 
0.5%
8 3
 
0.5%
Other values (4) 7
 
1.1%
(Missing) 15
 
2.3%
ValueCountFrequency (%)
0 30
 
4.5%
1 194
29.4%
2 213
32.3%
3 98
14.8%
4 54
 
8.2%
5 25
 
3.8%
6 12
 
1.8%
7 6
 
0.9%
8 3
 
0.5%
9 2
 
0.3%
ValueCountFrequency (%)
28 1
 
0.2%
12 2
 
0.3%
11 3
 
0.5%
10 2
 
0.3%
9 2
 
0.3%
8 3
 
0.5%
7 6
 
0.9%
6 12
 
1.8%
5 25
3.8%
4 54
8.2%

자격증소유자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
433 
0
227 

Length

Max length4
Median length4
Mean length2.9681818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 433
65.6%
0 227
34.4%

Length

2023-12-11T06:26:13.560838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:13.641546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 433
65.6%
0 227
34.4%

보조종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
433 
0
227 

Length

Max length4
Median length4
Mean length2.9681818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 433
65.6%
0 227
34.4%

Length

2023-12-11T06:26:13.739930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:13.823315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 433
65.6%
0 227
34.4%

시설관리자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
433 
0
227 

Length

Max length4
Median length4
Mean length2.9681818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 433
65.6%
0 227
34.4%

Length

2023-12-11T06:26:13.910549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:13.994621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 433
65.6%
0 227
34.4%

기타종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
433 
0
227 

Length

Max length4
Median length4
Mean length2.9681818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 433
65.6%
0 227
34.4%

Length

2023-12-11T06:26:14.083822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:14.193172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 433
65.6%
0 227
34.4%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)6.3%
Missing105
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean11.70991
Minimum0
Maximum37
Zeros58
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:14.319376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q320
95-th percentile25
Maximum37
Range37
Interquartile range (IQR)17

Descriptive statistics

Standard deviation9.0862589
Coefficient of variation (CV)0.77594609
Kurtosis-1.2819756
Mean11.70991
Median Absolute Deviation (MAD)9
Skewness0.18760362
Sum6499
Variance82.5601
MonotonicityNot monotonic
2023-12-11T06:26:14.443530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 58
 
8.8%
1 43
 
6.5%
3 37
 
5.6%
2 30
 
4.5%
21 28
 
4.2%
5 26
 
3.9%
20 25
 
3.8%
22 25
 
3.8%
15 25
 
3.8%
4 25
 
3.8%
Other values (25) 233
35.3%
(Missing) 105
15.9%
ValueCountFrequency (%)
0 58
8.8%
1 43
6.5%
2 30
4.5%
3 37
5.6%
4 25
3.8%
5 26
3.9%
6 8
 
1.2%
7 5
 
0.8%
8 9
 
1.4%
9 8
 
1.2%
ValueCountFrequency (%)
37 1
 
0.2%
36 1
 
0.2%
32 1
 
0.2%
31 1
 
0.2%
30 2
 
0.3%
29 1
 
0.2%
28 4
 
0.6%
27 8
1.2%
26 8
1.2%
25 12
1.8%

욕실면적
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)31.1%
Missing319
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean15.596217
Minimum0
Maximum107.4
Zeros227
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:14.575752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325.41
95-th percentile78.7
Maximum107.4
Range107.4
Interquartile range (IQR)25.41

Descriptive statistics

Standard deviation26.72846
Coefficient of variation (CV)1.7137784
Kurtosis1.052549
Mean15.596217
Median Absolute Deviation (MAD)0
Skewness1.5372555
Sum5318.31
Variance714.41056
MonotonicityNot monotonic
2023-12-11T06:26:14.692475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 227
34.4%
1.0 3
 
0.5%
53.2 2
 
0.3%
56.0 2
 
0.3%
89.0 2
 
0.3%
48.84 2
 
0.3%
26.56 2
 
0.3%
44.4 2
 
0.3%
30.0 2
 
0.3%
42.0 1
 
0.2%
Other values (96) 96
 
14.5%
(Missing) 319
48.3%
ValueCountFrequency (%)
0.0 227
34.4%
1.0 3
 
0.5%
2.94 1
 
0.2%
4.56 1
 
0.2%
5.9 1
 
0.2%
6.4 1
 
0.2%
6.6 1
 
0.2%
7.85 1
 
0.2%
9.4 1
 
0.2%
9.6 1
 
0.2%
ValueCountFrequency (%)
107.4 1
0.2%
94.16 1
0.2%
89.22 1
0.2%
89.0 2
0.3%
88.47 1
0.2%
88.25 1
0.2%
88.2 1
0.2%
88.04 1
0.2%
86.24 1
0.2%
85.87 1
0.2%

총면적
Real number (ℝ)

SKEWED 

Distinct620
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.98248
Minimum1
Maximum37642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T06:26:14.817413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40.99
Q179.275
median274.06
Q3538.44
95-th percentile774.548
Maximum37642
Range37641
Interquartile range (IQR)459.165

Descriptive statistics

Standard deviation1475.2668
Coefficient of variation (CV)3.9342286
Kurtosis620.55746
Mean374.98248
Median Absolute Deviation (MAD)207.985
Skewness24.534264
Sum247488.44
Variance2176412.1
MonotonicityNot monotonic
2023-12-11T06:26:14.929309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
639.15 4
 
0.6%
60.0 3
 
0.5%
78.0 3
 
0.5%
502.28 3
 
0.5%
66.0 3
 
0.5%
613.74 2
 
0.3%
85.8 2
 
0.3%
74.4 2
 
0.3%
103.4 2
 
0.3%
99.0 2
 
0.3%
Other values (610) 634
96.1%
ValueCountFrequency (%)
1.0 1
0.2%
10.0 1
0.2%
14.7 1
0.2%
23.43 1
0.2%
25.4 1
0.2%
25.9 1
0.2%
26.66 1
0.2%
28.9 1
0.2%
29.0 1
0.2%
30.61 1
0.2%
ValueCountFrequency (%)
37642.0 1
0.2%
830.0 1
0.2%
828.9 1
0.2%
826.4 1
0.2%
824.0 1
0.2%
823.66 1
0.2%
817.47 1
0.2%
815.36 1
0.2%
814.45 1
0.2%
813.47 1
0.2%

Sample

시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
0가평군20220427약손안마원<NA>영업/정상영업중<NA><NA><NA><NA><NA><NA>경기도 가평군 조종면 조종새싹로 20-5, 현대정육점경기도 가평군 조종면 현리 277-4번지 현대정육점1243737.820481127.349462안마원230770.252158480131.759751안마원1000000.089.09
1가평군20170104엄지안마원<NA>영업/정상영업중<NA><NA><NA><NA>031-581-1271<NA>경기도 가평군 가평읍 오리나무길 15-1 (주연테크)경기도 가평군 가평읍 대곡리 239번지 20호1242037.826102127.514295안마원245209.862624480516.021768안마원3000000.0123.12
2가평군2020-01-28오손도손건강안마원<NA>영업/정상영업중<NA><NA><NA><NA><NA><NA>경기도 가평군 가평읍 옥골길 3경기도 가평군 가평읍 읍내리 618번지 6호1241337.832186127.511603안마원244966.221874481194.131416안마원4000000.058.28
3고양시20140618가나안안마원<NA>폐업폐업20180813<NA><NA><NA>1577-7570<NA>경기도 고양시 덕양구 호국로811번길 31, 1층층 (주교동)경기도 고양시 덕양구 주교동 618번지 2호1046237.658988126.836368안마원185497.72828461867.966908안마원1<NA><NA><NA><NA><NA><NA>46.0
4고양시20140717건강드림안마원<NA>영업/정상영업중<NA><NA><NA><NA>070-8955-2200<NA>경기도 고양시 일산동구 일산로 460, 석우빌딩 502호 (정발산동)경기도 고양시 일산동구 정발산동 1139 석우빌딩 502호1035737.674387126.776201안마원180188.29386463577.164148안마원1000000.087.8
5고양시20141211건강안마원<NA>폐업폐업20161205<NA><NA><NA><NA><NA>경기도 고양시 일산동구 무궁화로 19-14, 407호 (장항동, 로데오존)경기도 고양시 일산동구 장항동 741번지 로데오존 407호1036437.662851126.766409안마원179324.202513462308.687103안마원<NA><NA><NA><NA><NA><NA><NA>23.43
6고양시20020906고흥안마시술소<NA>폐업폐업202001032019111420201111<NA>031-968-4372<NA>경기도 고양시 덕양구 마상로114번길 53 (주교동)경기도 고양시 덕양구 주교동 585번지 8호1045937.658462126.834069안마시술소185294.322443461810.495978안마시술소3<NA><NA><NA><NA>2667.0716.0
7고양시20040326뉴필안마시술소<NA>폐업폐업202301122022072920230728<NA>901-7237<NA>경기도 고양시 일산동구 무궁화로 34 (장항동,남정씨티프라자Ⅱ505,509,510호)경기도 고양시일산동구 장항동 778번지 2호 남정씨티프라자Ⅱ505,509,510호1040137.662622126.768379안마시술소179492.666133462272.008263안마시술소30000231.0592.99
8고양시20170120다나안마원<NA>폐업폐업20171106<NA><NA><NA><NA><NA>경기도 고양시 덕양구 마상로 140, 2층 (주교동, 임성빌딩)경기도 고양시 덕양구 주교동 621번지1046237.659072126.838181안마원185655.939562461875.443369안마원1<NA><NA><NA><NA><NA><NA>128.58
9고양시2007-01-04다온안마시술소<NA>영업/정상영업중<NA><NA><NA><NA>031-962-9577<NA>경기도 고양시 덕양구 호국로789번길 7 (주교동,301,302호)경기도 고양시 덕양구 주교동 614번지 301,302호1046137.656828126.835676안마시술소185428.288215461616.0486안마시술소3000090.0434.09
시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
650화성시20131028최은영힐링지압안마원<NA>영업/정상영업중<NA><NA><NA><NA>031-8003-0904<NA>경기도 화성시 메타폴리스로 47-7, 201호 (반송동, 서해더블루)경기도 화성시 반송동 93번지 8호 서해더블루 201호1845437.202217127.072347안마원206347.896742411151.530846안마원2<NA><NA><NA><NA>2<NA>54.18
651화성시20210421최재춘엄지로지압안마원<NA>영업/정상영업중<NA><NA><NA><NA>031-232-9924<NA>경기도 화성시 병점중앙로 87, 태안병점 브이타운 1층 (병점동)경기도 화성시 병점동 292 태안병점 브이타운1841437.206286127.041896안마원203667.667629411606.598272안마원0<NA><NA><NA><NA>2<NA>32.96
652화성시2006-06-22캐슬안마시술소<NA>영업/정상영업중<NA><NA><NA><NA>031-231-2102<NA>경기도 화성시 떡전골로 82, 5-6층 (병점동, 동아골드프라자)경기도 화성시 병점동 386번지 12호 동아골드프라자 5-6층1841237.205815127.034371안마시술소202982.132879411548.528054안마시술소20000250.0711.76
653화성시20061023퀸스안마시술소<NA>폐업폐업20120829<NA><NA><NA>366-3211<NA>경기도 화성시 팔탄면 버들로1597번길 지하 28경기도 화성시 팔탄면 월문리 236번지 61호18577<NA><NA>안마시술소188866.175939401625.231564안마시술소2<NA><NA><NA><NA>12<NA>623.7
654화성시2023-09-22퓨전안마원<NA>영업/정상영업중<NA><NA><NA><NA>031-805-3006<NA>경기도 화성시 향남읍 상신하길로298번길 7-7, 연세메디칼프라자 605호경기도 화성시 향남읍 하길리 1472-21861137.115646126.91058안마원191981.992571401547.340677안마원1000040.0106.15
655화성시2014-06-27향남안마원<NA>영업/정상영업중<NA><NA><NA><NA>031-351-6263<NA>경기도 화성시 향남읍 행정서로1길 13-5, 1층경기도 화성시 향남읍 행정리 457번지 6호1859837.125759126.914093안마원192295.933349402668.205629안마원2000030.0116.29
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657화성시2012-07-19휴나래안마원<NA>영업/정상영업중<NA><NA><NA><NA>031-235-9981<NA>경기도 화성시 효행로 1056, 206호 (병점동)경기도 화성시 병점동 844번지 2호 206호1840537.214213127.042874안마원203734.759394412480.974351안마원5000030.084.7
658<NA>20090305와우안마시술소<NA>폐업폐업20091102<NA><NA><NA><NA><NA>서울특별시 동작구 상도로53길 70, 202동 1014호 (상도동,상도에스에이치빌)서울특별시 동작구 상도동 430번지 18통7반 상도에스에이치빌 202동 1014호697737.501839126.95457안마시술소195895.211242444436.19276안마시술소2<NA><NA><NA><NA>21<NA>755.66
659<NA>20090119중동안마시술소<NA>폐업폐업200911122009102920100228<NA>324-5295<NA>서울특별시 노원구 동일로208길 19, 204동 201호 (중계동,중계무지개아파트)서울특별시 노원구 중계동 513번지 26통6반 중계무지개아파트 204동 201호178137.644322127.065212안마시술소205695.601651460288.081365안마시술소2<NA><NA><NA><NA>27<NA>814.45