Overview

Dataset statistics

Number of variables71
Number of observations9908
Missing cells409954
Missing cells (%)58.3%
Duplicate rows7
Duplicate rows (%)0.1%
Total size in memory5.9 MiB
Average record size in memory624.0 B

Variable types

Categorical11
Text6
DateTime1
Numeric16
Unsupported35
Boolean2

Dataset

Description건물위생관리업_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QSS34VWS7UU7X0EOQ8NS28029024&infSeq=1

Alerts

발한실여부 has constant value ""Constant
Dataset has 7 (0.1%) duplicate rowsDuplicates
업태구분명 is highly imbalanced (96.2%)Imbalance
위생업태명 is highly imbalanced (96.2%)Imbalance
양실수 is highly imbalanced (51.3%)Imbalance
다중이용업소여부 is highly imbalanced (99.5%)Imbalance
도로명주소 has 227 (2.3%) missing valuesMissing
우편번호 has 805 (8.1%) missing valuesMissing
전화번호 has 3456 (34.9%) missing valuesMissing
WGS84위도 has 772 (7.8%) missing valuesMissing
WGS84경도 has 772 (7.8%) missing valuesMissing
인허가취소일자 has 9908 (100.0%) missing valuesMissing
폐업일자 has 4441 (44.8%) missing valuesMissing
휴업시작일자 has 9908 (100.0%) missing valuesMissing
휴업종료일자 has 9908 (100.0%) missing valuesMissing
재개업일자 has 9908 (100.0%) missing valuesMissing
X좌표값 has 224 (2.3%) missing valuesMissing
Y좌표값 has 224 (2.3%) missing valuesMissing
건물지상층수 has 1665 (16.8%) missing valuesMissing
건물지하층수 has 1962 (19.8%) missing valuesMissing
사용시작지상층 has 2599 (26.2%) missing valuesMissing
사용끝지상층 has 3132 (31.6%) missing valuesMissing
사용시작지하층 has 4529 (45.7%) missing valuesMissing
사용끝지하층 has 4798 (48.4%) missing valuesMissing
발한실여부 has 258 (2.6%) missing valuesMissing
의자수 has 2227 (22.5%) missing valuesMissing
조건부허가신고사유 has 9876 (99.7%) missing valuesMissing
조건부허가시작일자 has 9885 (99.8%) missing valuesMissing
조건부허가종료일자 has 9886 (99.8%) missing valuesMissing
여성종사자수 has 5696 (57.5%) missing valuesMissing
남성종사자수 has 5637 (56.9%) missing valuesMissing
건축물명 has 9908 (100.0%) missing valuesMissing
건축물연면적 has 9908 (100.0%) missing valuesMissing
건축물상태명 has 9908 (100.0%) missing valuesMissing
청소대상시작일자 has 9908 (100.0%) missing valuesMissing
청소대상종료일자 has 9908 (100.0%) missing valuesMissing
휴업폐지사유 has 9908 (100.0%) missing valuesMissing
업무구분명 has 9908 (100.0%) missing valuesMissing
실험실면적정보 has 9908 (100.0%) missing valuesMissing
사업장구분명정보 has 9908 (100.0%) missing valuesMissing
영업소면적 has 9908 (100.0%) missing valuesMissing
위탁업체명 has 9908 (100.0%) missing valuesMissing
실험실지역코드 has 9908 (100.0%) missing valuesMissing
실험실우편번호 has 9908 (100.0%) missing valuesMissing
실험실산명 has 9908 (100.0%) missing valuesMissing
실험실번지 has 9908 (100.0%) missing valuesMissing
실험실호정보 has 9908 (100.0%) missing valuesMissing
실험실통정보 has 9908 (100.0%) missing valuesMissing
실험실반정보 has 9908 (100.0%) missing valuesMissing
실험실특수주소 has 9908 (100.0%) missing valuesMissing
실험실특수동주소 has 9908 (100.0%) missing valuesMissing
실험실특수호주소 has 9908 (100.0%) missing valuesMissing
실험실도로명시군구정보 has 9908 (100.0%) missing valuesMissing
실험실도로명주소읍면동정보 has 9908 (100.0%) missing valuesMissing
실험실도로명주소읍면동명 has 9908 (100.0%) missing valuesMissing
실험실도로명주소정보 has 9908 (100.0%) missing valuesMissing
실험실도로명특수주소 has 9908 (100.0%) missing valuesMissing
실험실도로명주소건물층구분 has 9908 (100.0%) missing valuesMissing
실험실도로명주소건물본번호 has 9908 (100.0%) missing valuesMissing
실험실도로명주소건물부번호 has 9908 (100.0%) missing valuesMissing
실험실도로명주소우편번호 has 9908 (100.0%) missing valuesMissing
건물지하층수 is highly skewed (γ1 = 53.60727768)Skewed
사용끝지상층 is highly skewed (γ1 = 38.99080544)Skewed
의자수 is highly skewed (γ1 = 29.85443757)Skewed
여성종사자수 is highly skewed (γ1 = 41.15097456)Skewed
남성종사자수 is highly skewed (γ1 = 39.73999085)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업폐지사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업무구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사업장구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
위탁업체명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실지역코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실산명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실번지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실호정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수동주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명시군구정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소읍면동명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물층구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물본번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물지상층수 has 5404 (54.5%) zerosZeros
건물지하층수 has 6611 (66.7%) zerosZeros
사용시작지상층 has 2482 (25.1%) zerosZeros
사용끝지상층 has 2540 (25.6%) zerosZeros
사용시작지하층 has 5003 (50.5%) zerosZeros
사용끝지하층 has 4784 (48.3%) zerosZeros
의자수 has 7670 (77.4%) zerosZeros
여성종사자수 has 4014 (40.5%) zerosZeros
남성종사자수 has 3800 (38.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:59:30.147188
Analysis finished2023-12-10 21:59:32.676737
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
수원시
1305 
안산시
1178 
고양시
870 
성남시
795 
용인시
648 
Other values (27)
5112 

Length

Max length4
Median length3
Mean length3.0615664
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 1305
13.2%
안산시 1178
11.9%
고양시 870
 
8.8%
성남시 795
 
8.0%
용인시 648
 
6.5%
부천시 578
 
5.8%
안양시 549
 
5.5%
화성시 515
 
5.2%
평택시 483
 
4.9%
남양주시 316
 
3.2%
Other values (22) 2671
27.0%

Length

2023-12-11T06:59:32.733484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1305
13.2%
안산시 1178
11.9%
고양시 870
 
8.8%
성남시 795
 
8.0%
용인시 648
 
6.5%
부천시 578
 
5.8%
안양시 549
 
5.5%
화성시 515
 
5.2%
평택시 483
 
4.9%
남양주시 316
 
3.2%
Other values (22) 2671
27.0%

사업장명
Text

Distinct8386
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
2023-12-11T06:59:33.045839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length7.2426322
Min length1

Characters and Unicode

Total characters71760
Distinct characters757
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7229 ?
Unique (%)73.0%

Sample

1st row(주) 일진환경건설
2nd row(주)가산
3rd row(주)국제씨앤씨
4th row(주)비에스피경호단
5th row(주)심천
ValueCountFrequency (%)
주식회사 920
 
8.0%
주 66
 
0.6%
사회적협동조합 21
 
0.2%
유한회사 17
 
0.1%
환경 16
 
0.1%
그린환경 16
 
0.1%
종합관리 15
 
0.1%
사회복지법인 14
 
0.1%
푸른환경 14
 
0.1%
크린 11
 
0.1%
Other values (8526) 10325
90.3%
2023-12-11T06:59:33.553787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5620
 
7.8%
) 4335
 
6.0%
( 4295
 
6.0%
스 1984
 
2.8%
사 1926
 
2.7%
이 1699
 
2.4%
회 1624
 
2.3%
리 1569
 
2.2%
경 1550
 
2.2%
1536
 
2.1%
Other values (747) 45622
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60318
84.1%
Close Punctuation 4336
 
6.0%
Open Punctuation 4295
 
6.0%
Space Separator 1536
 
2.1%
Uppercase Letter 749
 
1.0%
Lowercase Letter 238
 
0.3%
Decimal Number 133
 
0.2%
Other Punctuation 121
 
0.2%
Dash Punctuation 25
 
< 0.1%
Other Symbol 7
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5620
 
9.3%
스 1984
 
3.3%
사 1926
 
3.2%
이 1699
 
2.8%
회 1624
 
2.7%
리 1569
 
2.6%
경 1550
 
2.6%
식 1373
 
2.3%
환 1200
 
2.0%
에 1181
 
2.0%
Other values (678) 40592
67.3%
Uppercase Letter
ValueCountFrequency (%)
C 118
15.8%
S 102
13.6%
E 49
 
6.5%
M 45
 
6.0%
N 44
 
5.9%
K 43
 
5.7%
T 36
 
4.8%
A 32
 
4.3%
H 30
 
4.0%
D 29
 
3.9%
Other values (14) 221
29.5%
Lowercase Letter
ValueCountFrequency (%)
e 47
19.7%
o 27
11.3%
n 19
 
8.0%
r 18
 
7.6%
a 17
 
7.1%
c 13
 
5.5%
t 13
 
5.5%
s 12
 
5.0%
l 11
 
4.6%
g 8
 
3.4%
Other values (11) 53
22.3%
Decimal Number
ValueCountFrequency (%)
1 46
34.6%
2 30
22.6%
4 12
 
9.0%
3 9
 
6.8%
9 8
 
6.0%
5 8
 
6.0%
0 8
 
6.0%
6 6
 
4.5%
7 5
 
3.8%
8 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 69
57.0%
& 40
33.1%
, 6
 
5.0%
/ 3
 
2.5%
＆ 2
 
1.7%
· 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 4335
> 99.9%
） 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4295
100.0%
Space Separator
ValueCountFrequency (%)
1536
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60319
84.1%
Common 10448
 
14.6%
Latin 987
 
1.4%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5620
 
9.3%
스 1984
 
3.3%
사 1926
 
3.2%
이 1699
 
2.8%
회 1624
 
2.7%
리 1569
 
2.6%
경 1550
 
2.6%
식 1373
 
2.3%
환 1200
 
2.0%
에 1181
 
2.0%
Other values (673) 40593
67.3%
Latin
ValueCountFrequency (%)
C 118
 
12.0%
S 102
 
10.3%
E 49
 
5.0%
e 47
 
4.8%
M 45
 
4.6%
N 44
 
4.5%
K 43
 
4.4%
T 36
 
3.6%
A 32
 
3.2%
H 30
 
3.0%
Other values (35) 441
44.7%
Common
ValueCountFrequency (%)
) 4335
41.5%
( 4295
41.1%
1536
 
14.7%
. 69
 
0.7%
1 46
 
0.4%
& 40
 
0.4%
2 30
 
0.3%
- 25
 
0.2%
4 12
 
0.1%
3 9
 
0.1%
Other values (13) 51
 
0.5%
Han
ValueCountFrequency (%)
運 1
16.7%
東 1
16.7%
美 1
16.7%
株 1
16.7%
大 1
16.7%
信 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60312
84.0%
ASCII 11431
 
15.9%
None 11
 
< 0.1%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5620
 
9.3%
스 1984
 
3.3%
사 1926
 
3.2%
이 1699
 
2.8%
회 1624
 
2.7%
리 1569
 
2.6%
경 1550
 
2.6%
식 1373
 
2.3%
환 1200
 
2.0%
에 1181
 
2.0%
Other values (672) 40586
67.3%
ASCII
ValueCountFrequency (%)
) 4335
37.9%
( 4295
37.6%
1536
 
13.4%
C 118
 
1.0%
S 102
 
0.9%
. 69
 
0.6%
E 49
 
0.4%
e 47
 
0.4%
1 46
 
0.4%
M 45
 
0.4%
Other values (55) 789
 
6.9%
None
ValueCountFrequency (%)
㈜ 7
63.6%
＆ 2
 
18.2%
） 1
 
9.1%
· 1
 
9.1%
CJK
ValueCountFrequency (%)
運 1
16.7%
東 1
16.7%
美 1
16.7%
株 1
16.7%
大 1
16.7%
信 1
16.7%

영업상태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
폐업
5467 
영업
4441 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5467
55.2%
영업 4441
44.8%

Length

2023-12-11T06:59:33.679283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:33.764644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5467
55.2%
영업 4441
44.8%

인허가일자
Date

Distinct4634
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
Minimum1987-07-02 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:59:33.913246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:34.058530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

MISSING 

Distinct9272
Distinct (%)95.8%
Missing227
Missing (%)2.3%
Memory size77.5 KiB
2023-12-11T06:59:34.400965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length56
Mean length34.161863
Min length14

Characters and Unicode

Total characters330721
Distinct characters663
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8914 ?
Unique (%)92.1%

Sample

1st row경기도 가평군 가평읍 보납로6번길 11, 1층
2nd row경기도 가평군 청평면 북한강로 2245 (삼회리)
3rd row경기도 가평군 가평읍 연인길 6
4th row경기도 가평군 가평읍 광장로 5, 3층
5th row경기도 가평군 가평읍 연인2길 14, 3층
ValueCountFrequency (%)
경기도 9677
 
13.9%
1층 1565
 
2.3%
수원시 1268
 
1.8%
안산시 1144
 
1.6%
2층 950
 
1.4%
고양시 852
 
1.2%
단원구 823
 
1.2%
816
 
1.2%
성남시 788
 
1.1%
일부 673
 
1.0%
Other values (11093) 50998
73.3%
2023-12-11T06:59:34.903815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59957
 
18.1%
1 12421
 
3.8%
동 10866
 
3.3%
시 10216
 
3.1%
경 10148
 
3.1%
기 10134
 
3.1%
도 9891
 
3.0%
, 9080
 
2.7%
) 9078
 
2.7%
( 9078
 
2.7%
Other values (653) 179852
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183758
55.6%
Space Separator 59957
 
18.1%
Decimal Number 51552
 
15.6%
Other Punctuation 13696
 
4.1%
Close Punctuation 9078
 
2.7%
Open Punctuation 9078
 
2.7%
Dash Punctuation 2451
 
0.7%
Uppercase Letter 1019
 
0.3%
Lowercase Letter 82
 
< 0.1%
Math Symbol 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10866
 
5.9%
시 10216
 
5.6%
경 10148
 
5.5%
기 10134
 
5.5%
도 9891
 
5.4%
로 9075
 
4.9%
구 5769
 
3.1%
호 5682
 
3.1%
층 5609
 
3.1%
길 4129
 
2.2%
Other values (578) 102239
55.6%
Uppercase Letter
ValueCountFrequency (%)
B 276
27.1%
A 174
17.1%
C 62
 
6.1%
S 45
 
4.4%
I 43
 
4.2%
D 41
 
4.0%
T 39
 
3.8%
E 39
 
3.8%
L 35
 
3.4%
K 34
 
3.3%
Other values (16) 231
22.7%
Lowercase Letter
ValueCountFrequency (%)
e 14
17.1%
t 10
12.2%
n 10
12.2%
b 7
8.5%
i 7
8.5%
r 6
7.3%
s 5
 
6.1%
c 5
 
6.1%
k 5
 
6.1%
w 3
 
3.7%
Other values (8) 10
12.2%
Decimal Number
ValueCountFrequency (%)
1 12421
24.1%
2 7855
15.2%
3 6042
11.7%
0 5632
10.9%
4 4556
 
8.8%
5 3716
 
7.2%
6 3314
 
6.4%
7 3004
 
5.8%
8 2594
 
5.0%
9 2418
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 9080
66.3%
* 4582
33.5%
/ 12
 
0.1%
. 11
 
0.1%
@ 5
 
< 0.1%
& 3
 
< 0.1%
: 1
 
< 0.1%
' 1
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 24
88.9%
+ 1
 
3.7%
∥ 1
 
3.7%
｜ 1
 
3.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 13
56.5%
Ⅲ 5
 
21.7%
Ⅰ 4
 
17.4%
Ⅳ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
59957
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9078
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9078
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2451
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183757
55.6%
Common 145839
44.1%
Latin 1124
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10866
 
5.9%
시 10216
 
5.6%
경 10148
 
5.5%
기 10134
 
5.5%
도 9891
 
5.4%
로 9075
 
4.9%
구 5769
 
3.1%
호 5682
 
3.1%
층 5609
 
3.1%
길 4129
 
2.2%
Other values (577) 102238
55.6%
Latin
ValueCountFrequency (%)
B 276
24.6%
A 174
15.5%
C 62
 
5.5%
S 45
 
4.0%
I 43
 
3.8%
D 41
 
3.6%
T 39
 
3.5%
E 39
 
3.5%
L 35
 
3.1%
K 34
 
3.0%
Other values (38) 336
29.9%
Common
ValueCountFrequency (%)
59957
41.1%
1 12421
 
8.5%
, 9080
 
6.2%
) 9078
 
6.2%
( 9078
 
6.2%
2 7855
 
5.4%
3 6042
 
4.1%
0 5632
 
3.9%
* 4582
 
3.1%
4 4556
 
3.1%
Other values (17) 17558
 
12.0%
Han
ValueCountFrequency (%)
此 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183757
55.6%
ASCII 146937
44.4%
Number Forms 23
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59957
40.8%
1 12421
 
8.5%
, 9080
 
6.2%
) 9078
 
6.2%
( 9078
 
6.2%
2 7855
 
5.3%
3 6042
 
4.1%
0 5632
 
3.8%
* 4582
 
3.1%
4 4556
 
3.1%
Other values (58) 18656
 
12.7%
Hangul
ValueCountFrequency (%)
동 10866
 
5.9%
시 10216
 
5.6%
경 10148
 
5.5%
기 10134
 
5.5%
도 9891
 
5.4%
로 9075
 
4.9%
구 5769
 
3.1%
호 5682
 
3.1%
층 5609
 
3.1%
길 4129
 
2.2%
Other values (577) 102238
55.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 13
56.5%
Ⅲ 5
 
21.7%
Ⅰ 4
 
17.4%
Ⅳ 1
 
4.3%
CJK
ValueCountFrequency (%)
此 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
None
ValueCountFrequency (%)
· 1
50.0%
｜ 1
50.0%

지번주소
Text

Distinct9384
Distinct (%)94.7%
Missing1
Missing (%)< 0.1%
Memory size77.5 KiB
2023-12-11T06:59:35.223188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length27.936207
Min length14

Characters and Unicode

Total characters276764
Distinct characters608
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8955 ?
Unique (%)90.4%

Sample

1st row경기도 가평군 가평읍 읍내리 490-1번지
2nd row경기도 가평군 청평면 삼회리 74-1번지
3rd row경기도 가평군 가평읍 읍내리 478-11
4th row경기도 가평군 가평읍 대곡리 258-22번지 , 3층
5th row경기도 가평군 가평읍 읍내리 489-4 ,3층
ValueCountFrequency (%)
경기도 9903
 
16.7%
수원시 1305
 
2.2%
안산시 1178
 
2.0%
1층 915
 
1.5%
고양시 870
 
1.5%
단원구 852
 
1.4%
성남시 795
 
1.3%
782
 
1.3%
용인시 649
 
1.1%
일부 637
 
1.1%
Other values (11534) 41296
69.8%
2023-12-11T06:59:35.740415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54196
 
19.6%
1 11407
 
4.1%
동 10546
 
3.8%
시 10271
 
3.7%
기 10248
 
3.7%
도 10071
 
3.6%
경 9956
 
3.6%
- 8118
 
2.9%
2 6892
 
2.5%
지 6398
 
2.3%
Other values (598) 138661
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154854
56.0%
Space Separator 54196
 
19.6%
Decimal Number 52454
 
19.0%
Dash Punctuation 8118
 
2.9%
Other Punctuation 4749
 
1.7%
Uppercase Letter 828
 
0.3%
Open Punctuation 735
 
0.3%
Close Punctuation 731
 
0.3%
Lowercase Letter 64
 
< 0.1%
Letter Number 18
 
< 0.1%
Other values (2) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10546
 
6.8%
시 10271
 
6.6%
기 10248
 
6.6%
도 10071
 
6.5%
경 9956
 
6.4%
지 6398
 
4.1%
구 5754
 
3.7%
번 4949
 
3.2%
호 4037
 
2.6%
층 3394
 
2.2%
Other values (528) 79230
51.2%
Uppercase Letter
ValueCountFrequency (%)
B 215
26.0%
A 139
16.8%
I 50
 
6.0%
C 45
 
5.4%
D 40
 
4.8%
S 38
 
4.6%
E 38
 
4.6%
T 32
 
3.9%
K 31
 
3.7%
L 26
 
3.1%
Other values (16) 174
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
17.2%
n 10
15.6%
i 8
12.5%
b 7
10.9%
t 5
7.8%
r 5
7.8%
c 4
 
6.2%
k 3
 
4.7%
w 2
 
3.1%
d 2
 
3.1%
Other values (5) 7
10.9%
Decimal Number
ValueCountFrequency (%)
1 11407
21.7%
2 6892
13.1%
3 5703
10.9%
0 5472
10.4%
4 4829
9.2%
5 4475
 
8.5%
7 3756
 
7.2%
6 3755
 
7.2%
8 3128
 
6.0%
9 3037
 
5.8%
Other Punctuation
ValueCountFrequency (%)
* 4271
89.9%
, 433
 
9.1%
/ 17
 
0.4%
@ 12
 
0.3%
. 11
 
0.2%
& 3
 
0.1%
' 1
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 14
87.5%
∥ 1
 
6.2%
｜ 1
 
6.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 4
 
22.2%
Ⅲ 4
 
22.2%
Space Separator
ValueCountFrequency (%)
54196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 735
100.0%
Close Punctuation
ValueCountFrequency (%)
) 731
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154854
56.0%
Common 121000
43.7%
Latin 910
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10546
 
6.8%
시 10271
 
6.6%
기 10248
 
6.6%
도 10071
 
6.5%
경 9956
 
6.4%
지 6398
 
4.1%
구 5754
 
3.7%
번 4949
 
3.2%
호 4037
 
2.6%
층 3394
 
2.2%
Other values (528) 79230
51.2%
Latin
ValueCountFrequency (%)
B 215
23.6%
A 139
15.3%
I 50
 
5.5%
C 45
 
4.9%
D 40
 
4.4%
S 38
 
4.2%
E 38
 
4.2%
T 32
 
3.5%
K 31
 
3.4%
L 26
 
2.9%
Other values (34) 256
28.1%
Common
ValueCountFrequency (%)
54196
44.8%
1 11407
 
9.4%
- 8118
 
6.7%
2 6892
 
5.7%
3 5703
 
4.7%
0 5472
 
4.5%
4 4829
 
4.0%
5 4475
 
3.7%
* 4271
 
3.5%
7 3756
 
3.1%
Other values (16) 11881
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154852
56.0%
ASCII 121889
44.0%
Number Forms 18
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54196
44.5%
1 11407
 
9.4%
- 8118
 
6.7%
2 6892
 
5.7%
3 5703
 
4.7%
0 5472
 
4.5%
4 4829
 
4.0%
5 4475
 
3.7%
* 4271
 
3.5%
7 3756
 
3.1%
Other values (54) 12770
 
10.5%
Hangul
ValueCountFrequency (%)
동 10546
 
6.8%
시 10271
 
6.6%
기 10248
 
6.6%
도 10071
 
6.5%
경 9956
 
6.4%
지 6398
 
4.1%
구 5754
 
3.7%
번 4949
 
3.2%
호 4037
 
2.6%
층 3394
 
2.2%
Other values (526) 79228
51.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 4
 
22.2%
Ⅲ 4
 
22.2%
Compat Jamo
ValueCountFrequency (%)
ㅗ 1
50.0%
ㅓ 1
50.0%
None
ValueCountFrequency (%)
· 1
50.0%
｜ 1
50.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct2853
Distinct (%)31.3%
Missing805
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean14576.204
Minimum6649
Maximum46219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:35.933808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6649
5-th percentile10387
Q112769.5
median14951
Q316490
95-th percentile18243.7
Maximum46219
Range39570
Interquartile range (IQR)3720.5

Descriptive statistics

Standard deviation2435.2218
Coefficient of variation (CV)0.16706831
Kurtosis2.1179598
Mean14576.204
Median Absolute Deviation (MAD)1695
Skewness-0.041526994
Sum1.3268719 × 108
Variance5930305.1
MonotonicityNot monotonic
2023-12-11T06:59:36.095180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15431 135
 
1.4%
15361 54
 
0.5%
15461 40
 
0.4%
15865 37
 
0.4%
16489 36
 
0.4%
14544 35
 
0.4%
16490 33
 
0.3%
14543 31
 
0.3%
14117 31
 
0.3%
13504 30
 
0.3%
Other values (2843) 8641
87.2%
(Missing) 805
 
8.1%
ValueCountFrequency (%)
6649 1
 
< 0.1%
7673 1
 
< 0.1%
10003 1
 
< 0.1%
10010 1
 
< 0.1%
10011 2
< 0.1%
10012 1
 
< 0.1%
10013 3
< 0.1%
10015 3
< 0.1%
10017 2
< 0.1%
10018 2
< 0.1%
ValueCountFrequency (%)
46219 1
 
< 0.1%
22808 1
 
< 0.1%
18635 1
 
< 0.1%
18634 1
 
< 0.1%
18633 2
< 0.1%
18632 1
 
< 0.1%
18631 3
< 0.1%
18628 2
< 0.1%
18627 1
 
< 0.1%
18625 2
< 0.1%

전화번호
Text

MISSING 

Distinct5625
Distinct (%)87.2%
Missing3456
Missing (%)34.9%
Memory size77.5 KiB
2023-12-11T06:59:36.454705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.266274
Min length3

Characters and Unicode

Total characters72690
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4964 ?
Unique (%)76.9%

Sample

1st row031 581 2021
2nd row031 5844520
3rd row031 582 1008
4th row031 5829743
5th row031 581 8711
ValueCountFrequency (%)
031 4708
30.8%
032 317
 
2.1%
070 270
 
1.8%
02 267
 
1.7%
222 26
 
0.2%
221 25
 
0.2%
475 22
 
0.1%
378 22
 
0.1%
224 20
 
0.1%
611 20
 
0.1%
Other values (5822) 9568
62.7%
2023-12-11T06:59:36.929807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11105
15.3%
3 9807
13.5%
1 9677
13.3%
9039
12.4%
2 5963
8.2%
7 5064
7.0%
4 5002
6.9%
5 4630
6.4%
8 4483
6.2%
6 4042
 
5.6%
Other values (3) 3878
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63612
87.5%
Space Separator 9039
 
12.4%
Dash Punctuation 36
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11105
17.5%
3 9807
15.4%
1 9677
15.2%
2 5963
9.4%
7 5064
8.0%
4 5002
7.9%
5 4630
7.3%
8 4483
7.0%
6 4042
 
6.4%
9 3839
 
6.0%
Space Separator
ValueCountFrequency (%)
9039
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72690
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11105
15.3%
3 9807
13.5%
1 9677
13.3%
9039
12.4%
2 5963
8.2%
7 5064
7.0%
4 5002
6.9%
5 4630
6.4%
8 4483
6.2%
6 4042
 
5.6%
Other values (3) 3878
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11105
15.3%
3 9807
13.5%
1 9677
13.3%
9039
12.4%
2 5963
8.2%
7 5064
7.0%
4 5002
6.9%
5 4630
6.4%
8 4483
6.2%
6 4042
 
5.6%
Other values (3) 3878
 
5.3%

WGS84위도
Real number (ℝ)

MISSING 

Distinct7290
Distinct (%)79.8%
Missing772
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean37.404745
Minimum35.269459
Maximum38.156833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:37.084218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.269459
5-th percentile37.075892
Q137.278415
median37.363306
Q337.515983
95-th percentile37.748742
Maximum38.156833
Range2.8873735
Interquartile range (IQR)0.23756824

Descriptive statistics

Standard deviation0.19802977
Coefficient of variation (CV)0.0052942419
Kurtosis1.3678542
Mean37.404745
Median Absolute Deviation (MAD)0.10153892
Skewness0.24890667
Sum341729.75
Variance0.039215791
MonotonicityNot monotonic
2023-12-11T06:59:37.207294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3240283 31
 
0.3%
37.3266127 14
 
0.1%
37.3360563 14
 
0.1%
37.3715256 13
 
0.1%
37.254071369 12
 
0.1%
37.3716127805 11
 
0.1%
37.3875812 11
 
0.1%
37.2666654251 11
 
0.1%
37.26888797 10
 
0.1%
37.3179216253 9
 
0.1%
Other values (7280) 9000
90.8%
(Missing) 772
 
7.8%
ValueCountFrequency (%)
35.2694591 1
< 0.1%
36.9208790503 1
< 0.1%
36.934945 1
< 0.1%
36.9439616432 1
< 0.1%
36.9448863 1
< 0.1%
36.9473206082 1
< 0.1%
36.947556 1
< 0.1%
36.949459485 1
< 0.1%
36.9496117149 1
< 0.1%
36.9498016 1
< 0.1%
ValueCountFrequency (%)
38.1568325676 1
 
< 0.1%
38.1007199 1
 
< 0.1%
38.0643696253 1
 
< 0.1%
38.0587248 1
 
< 0.1%
38.031487 1
 
< 0.1%
38.0311717 1
 
< 0.1%
38.0293724286 3
< 0.1%
38.0289295431 1
 
< 0.1%
38.0278954 1
 
< 0.1%
38.0234521681 1
 
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct7291
Distinct (%)79.8%
Missing772
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean126.98602
Minimum126.55419
Maximum129.09125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:37.561224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55419
5-th percentile126.75364
Q1126.82952
median126.9951
Q3127.10695
95-th percentile127.25282
Maximum129.09125
Range2.5370683
Interquartile range (IQR)0.27742521

Descriptive statistics

Standard deviation0.18042724
Coefficient of variation (CV)0.0014208433
Kurtosis2.9028483
Mean126.98602
Median Absolute Deviation (MAD)0.13998045
Skewness0.86469392
Sum1160144.3
Variance0.032553988
MonotonicityNot monotonic
2023-12-11T06:59:37.712301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.787603 31
 
0.3%
126.7867494 14
 
0.1%
126.8080494 14
 
0.1%
126.9520679 13
 
0.1%
126.9853600411 12
 
0.1%
126.9514327046 11
 
0.1%
126.9335384 11
 
0.1%
127.0156469974 11
 
0.1%
127.0059781882 10
 
0.1%
126.8422691 9
 
0.1%
Other values (7281) 9000
90.8%
(Missing) 772
 
7.8%
ValueCountFrequency (%)
126.5541850673 1
< 0.1%
126.5564551 1
< 0.1%
126.5599348274 1
< 0.1%
126.5604728273 1
< 0.1%
126.5614501 1
< 0.1%
126.569858 1
< 0.1%
126.5702002257 1
< 0.1%
126.5748077408 1
< 0.1%
126.5748197 1
< 0.1%
126.5837814903 1
< 0.1%
ValueCountFrequency (%)
129.0912534 1
 
< 0.1%
127.7482399 3
< 0.1%
127.7141563197 3
< 0.1%
127.7141563 7
0.1%
127.6802765915 1
 
< 0.1%
127.6793776 1
 
< 0.1%
127.6762189 1
 
< 0.1%
127.6760931665 1
 
< 0.1%
127.6674367 1
 
< 0.1%
127.6617955098 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

폐업일자
Text

MISSING 

Distinct2969
Distinct (%)54.3%
Missing4441
Missing (%)44.8%
Memory size77.5 KiB
2023-12-11T06:59:37.994653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1064569
Min length8

Characters and Unicode

Total characters44318
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

Unique1689 ?
Unique (%)30.9%

Sample

1st row20180801
2nd row20021016
3rd row20120924
4th row20201110
5th row20210105
ValueCountFrequency (%)
20180104 39
 
0.7%
20151028 18
 
0.3%
20090202 17
 
0.3%
20180813 15
 
0.3%
20171010 14
 
0.3%
20181231 14
 
0.3%
20201231 14
 
0.3%
20180723 13
 
0.2%
20081204 13
 
0.2%
20161230 13
 
0.2%
Other values (2959) 5297
96.9%
2023-12-11T06:59:38.422701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13291
30.0%
2 11123
25.1%
1 8827
19.9%
3 1857
 
4.2%
8 1647
 
3.7%
9 1554
 
3.5%
6 1492
 
3.4%
7 1453
 
3.3%
5 1286
 
2.9%
4 1205
 
2.7%
Other values (2) 583
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43735
98.7%
Dash Punctuation 582
 
1.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13291
30.4%
2 11123
25.4%
1 8827
20.2%
3 1857
 
4.2%
8 1647
 
3.8%
9 1554
 
3.6%
6 1492
 
3.4%
7 1453
 
3.3%
5 1286
 
2.9%
4 1205
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 582
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13291
30.0%
2 11123
25.1%
1 8827
19.9%
3 1857
 
4.2%
8 1647
 
3.7%
9 1554
 
3.5%
6 1492
 
3.4%
7 1453
 
3.3%
5 1286
 
2.9%
4 1205
 
2.7%
Other values (2) 583
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13291
30.0%
2 11123
25.1%
1 8827
19.9%
3 1857
 
4.2%
8 1647
 
3.7%
9 1554
 
3.5%
6 1492
 
3.4%
7 1453
 
3.3%
5 1286
 
2.9%
4 1205
 
2.7%
Other values (2) 583
 
1.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

소재지면적
Unsupported

REJECTED  UNSUPPORTED 

Missing10
Missing (%)0.1%
Memory size77.5 KiB

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
건물위생관리업
9868 
건물위생관리업 기타
 
40

Length

Max length10
Median length7
Mean length7.0121114
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 9868
99.6%
건물위생관리업 기타 40
 
0.4%

Length

2023-12-11T06:59:38.565505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:38.659671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 9908
99.6%
기타 40
 
0.4%

X좌표값
Real number (ℝ)

MISSING 

Distinct7009
Distinct (%)72.4%
Missing224
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean198651.11
Minimum160609.05
Maximum390222.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:38.763785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160609.05
5-th percentile178073.81
Q1184801.11
median199531.34
Q3209369.69
95-th percentile222314.5
Maximum390222.23
Range229613.18
Interquartile range (IQR)24568.581

Descriptive statistics

Standard deviation15935.232
Coefficient of variation (CV)0.08021718
Kurtosis2.9854977
Mean198651.11
Median Absolute Deviation (MAD)12368.023
Skewness0.85106569
Sum1.9237374 × 109
Variance2.5393163 × 108
MonotonicityNot monotonic
2023-12-11T06:59:38.890114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181108.608529259 87
 
0.9%
195688.283833074 24
 
0.2%
181258.71259879 23
 
0.2%
181034.70168025 19
 
0.2%
185068.767406562 18
 
0.2%
194047.500944744 16
 
0.2%
175751.992022502 16
 
0.2%
182923.824124947 16
 
0.2%
209271.991810963 13
 
0.1%
181022.224075507 13
 
0.1%
Other values (6999) 9439
95.3%
(Missing) 224
 
2.3%
ValueCountFrequency (%)
160609.047130038 1
< 0.1%
160828.139702113 1
< 0.1%
161123.450432282 1
< 0.1%
161181.722215233 1
< 0.1%
161236.849355716 1
< 0.1%
161783.841656333 1
< 0.1%
161888.203769045 1
< 0.1%
162032.568253056 1
< 0.1%
162106.765142822 1
< 0.1%
162214.145488683 1
< 0.1%
ValueCountFrequency (%)
390222.229781928 1
 
< 0.1%
266186.369106087 3
 
< 0.1%
263277.311991587 10
0.1%
260226.720306806 1
 
< 0.1%
259980.503302843 1
 
< 0.1%
259926.155944998 1
 
< 0.1%
259679.965861729 1
 
< 0.1%
259116.47674523 1
 
< 0.1%
258682.390504162 1
 
< 0.1%
258262.433227967 1
 
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct7010
Distinct (%)72.4%
Missing224
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean433597.92
Minimum198690.23
Maximum517135.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:39.008448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198690.23
5-th percentile397021.17
Q1419511.93
median428931.97
Q3446208.86
95-th percentile471570.59
Maximum517135.52
Range318445.29
Interquartile range (IQR)26696.923

Descriptive statistics

Standard deviation22042.091
Coefficient of variation (CV)0.050835325
Kurtosis1.184676
Mean433597.92
Median Absolute Deviation (MAD)11438.601
Skewness0.24475256
Sum4.1989622 × 109
Variance4.8585378 × 108
MonotonicityNot monotonic
2023-12-11T06:59:39.129787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424698.61951891 87
 
0.9%
429949.927814167 24
 
0.2%
424761.274007584 23
 
0.2%
424985.683162494 19
 
0.2%
424185.02731601 18
 
0.2%
431732.018938937 16
 
0.2%
425940.901471747 16
 
0.2%
426028.995440808 16
 
0.2%
426903.175177001 13
 
0.1%
425347.954335905 13
 
0.1%
Other values (7000) 9439
95.3%
(Missing) 224
 
2.3%
ValueCountFrequency (%)
198690.232287766 1
< 0.1%
379936.894586674 1
< 0.1%
381500.099808128 1
< 0.1%
382435.448218727 1
< 0.1%
382513.368265218 1
< 0.1%
382607.373771399 1
< 0.1%
382862.236301664 1
< 0.1%
382909.807894003 1
< 0.1%
383091.807222858 1
< 0.1%
383115.175800235 1
< 0.1%
ValueCountFrequency (%)
517135.522822919 1
< 0.1%
510885.976660332 1
< 0.1%
506222.020009075 1
< 0.1%
503260.742499773 1
< 0.1%
503169.564435328 1
< 0.1%
502962.373407384 2
< 0.1%
502962.365789135 1
< 0.1%
502908.433082502 1
< 0.1%
502618.003986721 1
< 0.1%
502299.658017906 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
건물위생관리업
9868 
건물위생관리업 기타
 
40

Length

Max length10
Median length7
Mean length7.0121114
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물위생관리업 9868
99.6%
건물위생관리업 기타 40
 
0.4%

Length

2023-12-11T06:59:39.247040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:39.323438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물위생관리업 9908
99.6%
기타 40
 
0.4%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)0.4%
Missing1665
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean1.42897
Minimum0
Maximum37
Zeros5404
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:39.403409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum37
Range37
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8459425
Coefficient of variation (CV)1.991604
Kurtosis21.009739
Mean1.42897
Median Absolute Deviation (MAD)0
Skewness3.5831548
Sum11779
Variance8.0993887
MonotonicityNot monotonic
2023-12-11T06:59:39.524981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 5404
54.5%
3 582
 
5.9%
2 522
 
5.3%
1 451
 
4.6%
4 449
 
4.5%
5 269
 
2.7%
6 119
 
1.2%
7 94
 
0.9%
10 94
 
0.9%
8 87
 
0.9%
Other values (20) 172
 
1.7%
(Missing) 1665
 
16.8%
ValueCountFrequency (%)
0 5404
54.5%
1 451
 
4.6%
2 522
 
5.3%
3 582
 
5.9%
4 449
 
4.5%
5 269
 
2.7%
6 119
 
1.2%
7 94
 
0.9%
8 87
 
0.9%
9 45
 
0.5%
ValueCountFrequency (%)
37 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
31 1
 
< 0.1%
29 1
 
< 0.1%
28 3
< 0.1%
26 1
 
< 0.1%
24 1
 
< 0.1%
23 2
< 0.1%
21 2
< 0.1%

건물지하층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.2%
Missing1962
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.28781777
Minimum0
Maximum112
Zeros6611
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:39.625194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum112
Range112
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4927878
Coefficient of variation (CV)5.1865728
Kurtosis3951.7135
Mean0.28781777
Median Absolute Deviation (MAD)0
Skewness53.607278
Sum2287
Variance2.2284155
MonotonicityNot monotonic
2023-12-11T06:59:39.714896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 6611
66.7%
1 949
 
9.6%
2 166
 
1.7%
3 96
 
1.0%
4 67
 
0.7%
5 33
 
0.3%
6 13
 
0.1%
8 4
 
< 0.1%
7 2
 
< 0.1%
15 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 1962
 
19.8%
ValueCountFrequency (%)
0 6611
66.7%
1 949
 
9.6%
2 166
 
1.7%
3 96
 
1.0%
4 67
 
0.7%
5 33
 
0.3%
6 13
 
0.1%
7 2
 
< 0.1%
8 4
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
112 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
8 4
 
< 0.1%
7 2
 
< 0.1%
6 13
 
0.1%
5 33
0.3%
4 67
0.7%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)0.4%
Missing2599
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean1.8005199
Minimum0
Maximum38
Zeros2482
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:39.814971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum38
Range38
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5184909
Coefficient of variation (CV)1.3987576
Kurtosis23.102813
Mean1.8005199
Median Absolute Deviation (MAD)1
Skewness3.5350737
Sum13160
Variance6.3427967
MonotonicityNot monotonic
2023-12-11T06:59:39.934890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2482
25.1%
1 1951
19.7%
2 1115
11.3%
3 695
 
7.0%
4 331
 
3.3%
5 242
 
2.4%
6 133
 
1.3%
7 107
 
1.1%
8 79
 
0.8%
9 45
 
0.5%
Other values (17) 129
 
1.3%
(Missing) 2599
26.2%
ValueCountFrequency (%)
0 2482
25.1%
1 1951
19.7%
2 1115
11.3%
3 695
 
7.0%
4 331
 
3.3%
5 242
 
2.4%
6 133
 
1.3%
7 107
 
1.1%
8 79
 
0.8%
9 45
 
0.5%
ValueCountFrequency (%)
38 1
 
< 0.1%
34 1
 
< 0.1%
30 1
 
< 0.1%
25 2
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 3
 
< 0.1%
20 3
 
< 0.1%
19 3
 
< 0.1%
17 11
0.1%

사용끝지상층
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct33
Distinct (%)0.5%
Missing3132
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean2.0422078
Minimum0
Maximum604
Zeros2540
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:40.035740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum604
Range604
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.890856
Coefficient of variation (CV)5.8225496
Kurtosis1693.48
Mean2.0422078
Median Absolute Deviation (MAD)1
Skewness38.990805
Sum13838
Variance141.39246
MonotonicityNot monotonic
2023-12-11T06:59:40.157731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2540
25.6%
1 1694
17.1%
2 970
 
9.8%
3 603
 
6.1%
4 309
 
3.1%
5 206
 
2.1%
6 114
 
1.2%
7 97
 
1.0%
8 73
 
0.7%
9 46
 
0.5%
Other values (23) 124
 
1.3%
(Missing) 3132
31.6%
ValueCountFrequency (%)
0 2540
25.6%
1 1694
17.1%
2 970
 
9.8%
3 603
 
6.1%
4 309
 
3.1%
5 206
 
2.1%
6 114
 
1.2%
7 97
 
1.0%
8 73
 
0.7%
9 46
 
0.5%
ValueCountFrequency (%)
604 1
< 0.1%
503 1
< 0.1%
402 1
< 0.1%
301 1
< 0.1%
202 1
< 0.1%
105 1
< 0.1%
38 1
< 0.1%
33 2
< 0.1%
30 1
< 0.1%
25 1
< 0.1%

사용시작지하층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4529
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean0.076036438
Minimum0
Maximum8
Zeros5003
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:40.273153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.30851951
Coefficient of variation (CV)4.0575219
Kurtosis106.53555
Mean0.076036438
Median Absolute Deviation (MAD)0
Skewness7.1188088
Sum409
Variance0.095184287
MonotonicityNot monotonic
2023-12-11T06:59:40.361577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5003
50.5%
1 359
 
3.6%
2 9
 
0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
8 1
 
< 0.1%
(Missing) 4529
45.7%
ValueCountFrequency (%)
0 5003
50.5%
1 359
 
3.6%
2 9
 
0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
4 3
 
< 0.1%
3 4
 
< 0.1%
2 9
 
0.1%
1 359
 
3.6%
0 5003
50.5%

사용끝지하층
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.1%
Missing4798
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean0.06927593
Minimum0
Maximum8
Zeros4784
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:40.452908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29462342
Coefficient of variation (CV)4.2528974
Kurtosis124.64984
Mean0.06927593
Median Absolute Deviation (MAD)0
Skewness7.5963124
Sum354
Variance0.08680296
MonotonicityNot monotonic
2023-12-11T06:59:40.556808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4784
48.3%
1 311
 
3.1%
2 8
 
0.1%
3 5
 
0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 4798
48.4%
ValueCountFrequency (%)
0 4784
48.3%
1 311
 
3.1%
2 8
 
0.1%
3 5
 
0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
4 1
 
< 0.1%
3 5
 
0.1%
2 8
 
0.1%
1 311
 
3.1%
0 4784
48.3%

한실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
0
7673 
<NA>
2235 

Length

Max length4
Median length1
Mean length1.6767259
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 7673
77.4%
<NA> 2235
 
22.6%

Length

2023-12-11T06:59:40.687370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:40.771891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7673
77.4%
na 2235
 
22.6%

양실수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
0
7672 
<NA>
2235 
45
 
1

Length

Max length4
Median length1
Mean length1.6768268
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 7672
77.4%
<NA> 2235
 
22.6%
45 1
 
< 0.1%

Length

2023-12-11T06:59:40.866177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:40.951106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7672
77.4%
na 2235
 
22.6%
45 1
 
< 0.1%

욕실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
0
7673 
<NA>
2235 

Length

Max length4
Median length1
Mean length1.6767259
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 7673
77.4%
<NA> 2235
 
22.6%

Length

2023-12-11T06:59:41.047313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:41.134530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7673
77.4%
na 2235
 
22.6%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing258
Missing (%)2.6%
Memory size19.5 KiB
False
9650 
(Missing)
 
258
ValueCountFrequency (%)
False 9650
97.4%
(Missing) 258
 
2.6%
2023-12-11T06:59:41.196318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing2227
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.0067699518
Minimum0
Maximum8
Zeros7670
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:41.262001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18598274
Coefficient of variation (CV)27.471796
Kurtosis965.25227
Mean0.0067699518
Median Absolute Deviation (MAD)0
Skewness29.854438
Sum52
Variance0.034589578
MonotonicityNot monotonic
2023-12-11T06:59:41.361185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 7670
77.4%
4 6
 
0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
3 1
 
< 0.1%
(Missing) 2227
 
22.5%
ValueCountFrequency (%)
0 7670
77.4%
3 1
 
< 0.1%
4 6
 
0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%
4 6
 
0.1%
3 1
 
< 0.1%
0 7670
77.4%

조건부허가신고사유
Text

MISSING 

Distinct29
Distinct (%)90.6%
Missing9876
Missing (%)99.7%
Memory size77.5 KiB
2023-12-11T06:59:41.627150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length79
Mean length54.5
Min length11

Characters and Unicode

Total characters1744
Distinct characters131
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)84.4%

Sample

1st row공유재산의 무상사용 허가 기간(2020. 12. 01. ~ 2021. 12. 31.)까지 영업신고 사항 유효
2nd row가설건축물 존치기간까지 영업신고 사항 유효함.
3rd row공중위생관리법시행령제3조1의 규정에 의한 건축물(업무시설 3천제곱미터미만 2이상의 용도 2천제곱미터미만 건축물에 한함)
4th row공유재산 사용허가계약
5th row건축법에 의한 업무시설로서 연면적 3,000㎡이상의 업무시설과 연면적 2,000㎡이상의 용도(건축법 제2조제2항의 규정에 의한 용도를 말한다.)에 사용되는 건축물은 제외
ValueCountFrequency (%)
의한 20
 
6.2%
연면적 18
 
5.6%
규정에 11
 
3.4%
제외 11
 
3.4%
건축물은 9
 
2.8%
사용되는 9
 
2.8%
건축법에 9
 
2.8%
업무시설과 9
 
2.8%
2,000㎡이상의 8
 
2.5%
용도를 8
 
2.5%
Other values (111) 212
65.4%
2023-12-11T06:59:42.023059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
 
16.8%
제 64
 
3.7%
의 64
 
3.7%
0 58
 
3.3%
시 51
 
2.9%
에 45
 
2.6%
축 40
 
2.3%
건 40
 
2.3%
한 39
 
2.2%
2 39
 
2.2%
Other values (121) 1011
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1217
69.8%
Space Separator 293
 
16.8%
Decimal Number 146
 
8.4%
Other Punctuation 47
 
2.7%
Other Symbol 18
 
1.0%
Open Punctuation 11
 
0.6%
Close Punctuation 11
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 64
 
5.3%
의 64
 
5.3%
시 51
 
4.2%
에 45
 
3.7%
축 40
 
3.3%
건 40
 
3.3%
한 39
 
3.2%
용 37
 
3.0%
이 33
 
2.7%
설 33
 
2.7%
Other values (109) 771
63.4%
Decimal Number
ValueCountFrequency (%)
0 58
39.7%
2 39
26.7%
3 26
17.8%
1 21
 
14.4%
7 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 24
51.1%
, 23
48.9%
Space Separator
ValueCountFrequency (%)
293
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1217
69.8%
Common 527
30.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 64
 
5.3%
의 64
 
5.3%
시 51
 
4.2%
에 45
 
3.7%
축 40
 
3.3%
건 40
 
3.3%
한 39
 
3.2%
용 37
 
3.0%
이 33
 
2.7%
설 33
 
2.7%
Other values (109) 771
63.4%
Common
ValueCountFrequency (%)
293
55.6%
0 58
 
11.0%
2 39
 
7.4%
3 26
 
4.9%
. 24
 
4.6%
, 23
 
4.4%
1 21
 
4.0%
㎡ 18
 
3.4%
( 11
 
2.1%
) 11
 
2.1%
Other values (2) 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1217
69.8%
ASCII 509
29.2%
CJK Compat 18
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
57.6%
0 58
 
11.4%
2 39
 
7.7%
3 26
 
5.1%
. 24
 
4.7%
, 23
 
4.5%
1 21
 
4.1%
( 11
 
2.2%
) 11
 
2.2%
7 2
 
0.4%
Hangul
ValueCountFrequency (%)
제 64
 
5.3%
의 64
 
5.3%
시 51
 
4.2%
에 45
 
3.7%
축 40
 
3.3%
건 40
 
3.3%
한 39
 
3.2%
용 37
 
3.0%
이 33
 
2.7%
설 33
 
2.7%
Other values (109) 771
63.4%
CJK Compat
ValueCountFrequency (%)
㎡ 18
100.0%

조건부허가시작일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing9885
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20121879
Minimum20041012
Maximum20230502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:42.145829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041012
5-th percentile20042112
Q120060208
median20070207
Q320220752
95-th percentile20230298
Maximum20230502
Range189490
Interquartile range (IQR)160544.5

Descriptive statistics

Standard deviation78748.92
Coefficient of variation (CV)0.0039135967
Kurtosis-1.7035796
Mean20121879
Median Absolute Deviation (MAD)29195
Skewness0.50128431
Sum4.6280322 × 108
Variance6.2013924 × 109
MonotonicityNot monotonic
2023-12-11T06:59:42.257636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20140114 1
 
< 0.1%
20060309 1
 
< 0.1%
20230502 1
 
< 0.1%
20230306 1
 
< 0.1%
20221004 1
 
< 0.1%
20230228 1
 
< 0.1%
20221006 1
 
< 0.1%
20041201 1
 
< 0.1%
20070201 1
 
< 0.1%
20060210 1
 
< 0.1%
Other values (13) 13
 
0.1%
(Missing) 9885
99.8%
ValueCountFrequency (%)
20041012 1
< 0.1%
20041201 1
< 0.1%
20050315 1
< 0.1%
20050718 1
< 0.1%
20050830 1
< 0.1%
20060206 1
< 0.1%
20060210 1
< 0.1%
20060309 1
< 0.1%
20060502 1
< 0.1%
20060906 1
< 0.1%
ValueCountFrequency (%)
20230502 1
< 0.1%
20230306 1
< 0.1%
20230228 1
< 0.1%
20230214 1
< 0.1%
20221006 1
< 0.1%
20221004 1
< 0.1%
20220501 1
< 0.1%
20201201 1
< 0.1%
20140114 1
< 0.1%
20101209 1
< 0.1%

조건부허가종료일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing9886
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20190278
Minimum20060608
Maximum20401012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:42.412052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060608
5-th percentile20101012
Q120150543
median20185519
Q320240856
95-th percentile20241001
Maximum20401012
Range340404
Interquartile range (IQR)90312.25

Descriptive statistics

Standard deviation71163.304
Coefficient of variation (CV)0.0035246323
Kurtosis2.5499726
Mean20190278
Median Absolute Deviation (MAD)49905.5
Skewness0.89309916
Sum4.4418611 × 108
Variance5.0642158 × 109
MonotonicityNot monotonic
2023-12-11T06:59:42.556161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20241001 5
 
0.1%
20160905 1
 
< 0.1%
20060608 1
 
< 0.1%
20201231 1
 
< 0.1%
20170201 1
 
< 0.1%
20110209 1
 
< 0.1%
20170207 1
 
< 0.1%
20160501 1
 
< 0.1%
20211231 1
 
< 0.1%
20151231 1
 
< 0.1%
Other values (8) 8
 
0.1%
(Missing) 9886
99.8%
ValueCountFrequency (%)
20060608 1
< 0.1%
20100528 1
< 0.1%
20110209 1
< 0.1%
20120528 1
< 0.1%
20140717 1
< 0.1%
20150314 1
< 0.1%
20151231 1
< 0.1%
20160501 1
< 0.1%
20160905 1
< 0.1%
20170201 1
< 0.1%
ValueCountFrequency (%)
20401012 1
 
< 0.1%
20241001 5
0.1%
20240419 1
 
< 0.1%
20230430 1
 
< 0.1%
20211231 1
 
< 0.1%
20201231 1
 
< 0.1%
20200831 1
 
< 0.1%
20170207 1
 
< 0.1%
20170201 1
 
< 0.1%
20160905 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
<NA>
7648 
임대
2167 
자가
 
93

Length

Max length4
Median length4
Mean length3.543803
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7648
77.2%
임대 2167
 
21.9%
자가 93
 
0.9%

Length

2023-12-11T06:59:42.691467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:42.800272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7648
77.2%
임대 2167
 
21.9%
자가 93
 
0.9%

세탁기수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
0
7433 
<NA>
2475 

Length

Max length4
Median length1
Mean length1.7493944
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 7433
75.0%
<NA> 2475
 
25.0%

Length

2023-12-11T06:59:42.905979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:42.998515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7433
75.0%
na 2475
 
25.0%

여성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.3%
Missing5696
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean0.18898386
Minimum0
Maximum200
Zeros4014
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:43.082118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum200
Range200
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.84426
Coefficient of variation (CV)20.341738
Kurtosis1916.8607
Mean0.18898386
Median Absolute Deviation (MAD)0
Skewness41.150975
Sum796
Variance14.778335
MonotonicityNot monotonic
2023-12-11T06:59:43.208470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 4014
40.5%
1 135
 
1.4%
2 30
 
0.3%
3 9
 
0.1%
4 9
 
0.1%
5 4
 
< 0.1%
7 3
 
< 0.1%
95 2
 
< 0.1%
9 1
 
< 0.1%
24 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 5696
57.5%
ValueCountFrequency (%)
0 4014
40.5%
1 135
 
1.4%
2 30
 
0.3%
3 9
 
0.1%
4 9
 
0.1%
5 4
 
< 0.1%
7 3
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
200 1
 
< 0.1%
95 2
 
< 0.1%
52 1
 
< 0.1%
24 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
7 3
 
< 0.1%
5 4
< 0.1%
4 9
0.1%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct32
Distinct (%)0.7%
Missing5637
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean0.68180754
Minimum0
Maximum550
Zeros3800
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size87.2 KiB
2023-12-11T06:59:43.334069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum550
Range550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.080867
Coefficient of variation (CV)16.252192
Kurtosis1771.036
Mean0.68180754
Median Absolute Deviation (MAD)0
Skewness39.739991
Sum2912
Variance122.78562
MonotonicityNot monotonic
2023-12-11T06:59:43.467858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 3800
38.4%
1 229
 
2.3%
2 97
 
1.0%
3 53
 
0.5%
5 22
 
0.2%
4 22
 
0.2%
7 7
 
0.1%
12 4
 
< 0.1%
6 4
 
< 0.1%
44 3
 
< 0.1%
Other values (22) 30
 
0.3%
(Missing) 5637
56.9%
ValueCountFrequency (%)
0 3800
38.4%
1 229
 
2.3%
2 97
 
1.0%
3 53
 
0.5%
4 22
 
0.2%
5 22
 
0.2%
6 4
 
< 0.1%
7 7
 
0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
550 1
 
< 0.1%
384 1
 
< 0.1%
190 1
 
< 0.1%
88 1
 
< 0.1%
70 1
 
< 0.1%
53 1
 
< 0.1%
44 3
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
40 2
< 0.1%

회수건조수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
0
7014 
<NA>
2894 

Length

Max length4
Median length1
Mean length1.8762616
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 7014
70.8%
<NA> 2894
29.2%

Length

2023-12-11T06:59:43.602096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:43.692263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7014
70.8%
na 2894
29.2%

침대수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.5 KiB
0
6934 
<NA>
2974 

Length

Max length4
Median length1
Mean length1.9004845
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 6934
70.0%
<NA> 2974
30.0%

Length

2023-12-11T06:59:44.045255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:44.136319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6934
70.0%
na 2974
30.0%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size9.8 KiB
False
9904 
True
 
4
ValueCountFrequency (%)
False 9904
> 99.9%
True 4
 
< 0.1%
2023-12-11T06:59:44.204614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

건축물연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

휴업폐지사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

사업장구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

영업소면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실지역코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실산명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실번지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실호정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실통정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실반정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실특수동주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실특수호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명시군구정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소읍면동정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소읍면동명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소건물층구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소건물본번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

실험실도로명주소우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9908
Missing (%)100.0%
Memory size87.2 KiB

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명실험실면적정보사업장구분명정보영업소면적위탁업체명실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명시군구정보실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
0가평군(주) 일진환경건설폐업20070307경기도 가평군 가평읍 보납로6번길 11, 1층경기도 가평군 가평읍 읍내리 490-1번지12418031 581 202137.83018127.511468<NA>20180801<NA><NA><NA>118.68건물위생관리업244964.284636480976.446688건물위생관리업3<NA>2<NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1가평군(주)가산폐업20000224경기도 가평군 청평면 북한강로 2245 (삼회리)경기도 가평군 청평면 삼회리 74-1번지12458031 584452037.713826127.403396<NA>20021016<NA><NA><NA>133.68건물위생관리업235505.883452468014.693245건물위생관리업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2가평군(주)국제씨앤씨영업20151223경기도 가평군 가평읍 연인길 6경기도 가평군 가평읍 읍내리 478-1112418031 582 100837.828544127.513727<NA><NA><NA><NA><NA>13.80건물위생관리업245155.080606480789.745635건물위생관리업3011<NA><NA>000N0<NA><NA><NA><NA>00000N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3가평군(주)비에스피경호단영업20141229경기도 가평군 가평읍 광장로 5, 3층경기도 가평군 가평읍 대곡리 258-22번지 , 3층12416<NA>37.826155127.511134<NA><NA><NA><NA><NA>12.60건물위생관리업244936.788028480529.035418건물위생관리업4033<NA><NA>000N0<NA><NA><NA><NA>00100N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4가평군(주)심천영업20101102경기도 가평군 가평읍 연인2길 14, 3층경기도 가평군 가평읍 읍내리 489-4 ,3층12418031 582974337.830032127.511886<NA><NA><NA><NA><NA>134.12건물위생관리업245586.42399481334.2246건물위생관리업4122<NA><NA>000N0<NA><NA><NA>임대0<NA><NA>00N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5가평군(주)에스엔에스영업2023-11-10경기도 가평군 가평읍 광장로 5, 301호경기도 가평군 가평읍 대곡리 258-2212416031 581 871137.82621127.511227<NA><NA><NA><NA><NA>19.00건물위생관리업244936.788028480529.035418건물위생관리업003300000N0<NA><NA><NA>임대00000N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6가평군(주)유진매니지먼트폐업20100804경기도 가평군 가평읍 가화로 43경기도 가평군 가평읍 대곡리 195-3번지12420<NA>37.823623127.515353<NA>20120924<NA><NA><NA>47.76건물위생관리업245310.048392480251.128583건물위생관리업31<NA><NA>1<NA>000N0<NA><NA><NA>임대0<NA><NA>0<NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7가평군(주)코리아컨설팅폐업20161222경기도 가평군 가평읍 연인2길 14, 3층경기도 가평군 가평읍 읍내리 489-4 3층12418031 581 112537.830032127.511886<NA>20201110<NA><NA><NA>66.00건물위생관리업244992.177541480954.120658건물위생관리업403300000N0<NA><NA><NA>임대01000N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8가평군(주)코리아탑시큐리티폐업20081210경기도 가평군 가평읍 연인2길 14, 3층경기도 가평군 가평읍 읍내리 489-4 3층12418031 581 112437.830032127.511886<NA>20210105<NA><NA><NA>9.66건물위생관리업244992.177541480954.120658건물위생관리업200000000N0<NA><NA><NA><NA>0<NA><NA>00N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9가평군(주)태멘이노디어영업20210813경기도 가평군 가평읍 석봉로*번길 **, 지하*층경기도 가평군 가평읍 대곡리 ***-* 외*필지, 지하*층<NA><NA><NA><NA><NA><NA><NA><NA><NA>12.12건물위생관리업244591.88453479665.061937건물위생관리업510011000N0<NA><NA><NA><NA>00200N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명실험실면적정보사업장구분명정보영업소면적위탁업체명실험실지역코드실험실우편번호실험실산명실험실번지실험실호정보실험실통정보실험실반정보실험실특수주소실험실특수동주소실험실특수호주소실험실도로명시군구정보실험실도로명주소읍면동정보실험실도로명주소읍면동명실험실도로명주소정보실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
9898화성시화성인력System폐업20120530경기도 화성시 향남읍 삼천병마로 235, 2층경기도 화성시 향남읍 평리 30-1718593031 8059506237.134145126.910898<NA>20180813<NA><NA><NA>34.86건물위생관리업192012.162011403594.858923건물위생관리업4122<NA><NA>000N0<NA><NA><NA>임대0<NA><NA>00N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9899화성시화성지역자활센터청소사업단크린원영업20051227경기도 화성시 향남읍 행정서로3길 34-6경기도 화성시 향남읍 행정리 434-318598031 354112937.130749126.918726<NA><NA><NA><NA><NA>70.0건물위생관리업192707.960502403220.545667건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9900화성시화성크린 하우징폐업20090605경기도 화성시 남양읍 남양성지로 163 (남양동,(2층))경기도 화성시 남양읍 남양리 1270-6 (2층)18261031 355 929137.210604126.820415<NA>20180811<NA><NA><NA>69.0건물위생관리업183989.634935412095.586604건물위생관리업00<NA>2<NA><NA>000N0<NA><NA><NA>임대0<NA><NA>00N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9901화성시화성클리닝영업2023-02-01경기도 화성시 양감면 발안로 834, 1동 1층 일부호경기도 화성시 양감면 송산리 5-2518628<NA>37.122474126.99546<NA><NA><NA><NA><NA>25.2건물위생관리업199525.6873402300.22897건물위생관리업001100000N0<NA><NA><NA><NA>00000N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9902화성시화성환경폐업20061114경기도 화성시 효행로 869-6 (진안동)경기도 화성시 진안동 832-17018367031 293223337.207224127.023634<NA>20121203<NA><NA><NA>97.94건물위생관리업202047.851596411684.920333건물위생관리업<NA><NA>2<NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9903화성시화성환경산업폐업20110316경기도 화성시 남양읍 남양로 622 (신남동,은하상가107호)경기도 화성시 남양읍 신남리 25-14 은하상가107호18277031 355 840037.195006126.822854<NA>20180813<NA><NA><NA>46.25건물위생관리업184197.989346410367.468449건물위생관리업201<NA><NA><NA>000N0<NA><NA><NA><NA>0<NA><NA>00N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9904<NA>(주)씨앤에스랩폐업20140224서울특별시 서초구 사임당로 19, 401호 (서초동)서울특별시 서초구 서초동 1580-8번지 401호6649<NA>37.487793127.012187<NA>20141023<NA><NA><NA>21.0건물위생관리업201012.175771442853.548518건물위생관리업004400000N0<NA><NA><NA>임대01100N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9905<NA>두리씨앤에스주식회사폐업20081017인천광역시 서구 건지로318번길 32 (가좌동,2층)인천광역시 서구 가좌동 192-52번지 2층22808032 583 696637.495813126.677003<NA>20141112<NA><NA><NA>82.32건물위생관리업171372.871488443802.861822건물위생관리업2122<NA><NA>000N0<NA><NA><NA>임대0<NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9906<NA>성은개발(주)폐업20030120부산광역시 금정구 범어천로38번길 26 (남산동)부산광역시 금정구 남산동 84-47번지46219051 513281535.269459129.091253<NA>20170911<NA><NA><NA>0.0건물위생관리업390222.229782198690.232288건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9907<NA>주식회사 서린에스엠폐업20050803서울특별시 강서구 화곡로46길 6 (화곡동,신암빌딩 303호)서울특별시 강서구 화곡동 24-344번지 신암빌딩 303호7673022608812537.54848126.847376<NA>20160308<NA><NA><NA>46.2건물위생관리업186447.304273449600.823916건물위생관리업7<NA>3<NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도폐업일자업태구분명X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부# duplicates
0고양시(주)한국환경개발폐업19970203경기도 고양시 일산동구 백마로 500 2층 (풍동,용석빌딩)경기도 고양시 일산동구 풍동 145-1번지 번지 용석빌딩2층10300031 905003437.66246126.80365220010320건물위생관리업182611.605752462257.922132건물위생관리업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N2
1성남시(주)더나은건설폐업20180115경기도 성남시 분당구 탄천상로 164, 시그마2오피스텔 7층 D-722호 (구미동)경기도 성남시 분당구 구미동 18 시그마2오피스텔13631031 8000974037.344419127.10546820200729건물위생관리업209271.991811426903.175177건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N2
2성남시삼성조경관리(주)폐업20180827경기도 성남시 분당구 야탑로 28, 우당프라자 402호 (야탑동)경기도 성남시 분당구 야탑동 537-4 우당프라자13522031 705 988337.408679127.12211520200811건물위생관리업210741.134532434066.8168건물위생관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N2
3수원시주식회사 서호종합관리폐업20100705경기도 수원시 장안구 서부로2105번길 21경기도 수원시 장안구 율전동 408-6 2층16362031 278 375537.296762126.96914920120702건물위생관리업197191.469828421639.425652건물위생관리업002200000N0<NA><NA><NA><NA>0<NA><NA>00N2
4수원시청소멋쟁이폐업20130418경기도 수원시 권선구 세지로66번길 13, 101호 (권선동)경기도 수원시 권선구 권선동 998-10 101호16564<NA>37.257788127.0181420150416건물위생관리업201537.616984417316.552405건물위생관리업501000000N0<NA><NA><NA>임대0<NA><NA>00N2
5안산시(주)두영시스템폐업20170925경기도 안산시 단원구 신촌4길 13, 2층일부 (초지동)경기도 안산시 단원구 초지동 703-6번지 광덕빌딩15440<NA>37.314591126.81705120200114건물위생관리업183717.292075423645.587861건물위생관리업000000000N0<NA><NA><NA><NA>0<NA><NA>00N2
6이천시주식회사 풍경폐업20130128경기도 이천시 부발읍 중부대로 2025경기도 이천시 부발읍 고백리 312-14번지17317031636 514437.293826127.53095520140113건물위생관리업247012.381179421454.838047건물위생관리업1011<NA><NA>000N0<NA><NA><NA><NA>0<NA><NA>00N2