Overview

Dataset statistics

Number of variables42
Number of observations10000
Missing cells105293
Missing cells (%)25.1%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory3.5 MiB
Average record size in memory370.0 B

Variable types

Categorical14
Text8
Unsupported4
Numeric14
Boolean2

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
업태구분명정보 is highly imbalanced (80.8%)Imbalance
위생업태명 is highly imbalanced (80.8%)Imbalance
사용시작지하층수 is highly imbalanced (56.7%)Imbalance
사용끝지하층수 is highly imbalanced (60.1%)Imbalance
발한실여부 is highly imbalanced (99.5%)Imbalance
조건부허가시작일자 is highly imbalanced (99.7%)Imbalance
조건부허가종료일자 is highly imbalanced (99.7%)Imbalance
다중이용업소여부 is highly imbalanced (99.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 3302 (33.0%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지시설전화번호 has 1663 (16.6%) missing valuesMissing
소재지면적 has 142 (1.4%) missing valuesMissing
소재지도로명주소 has 1016 (10.2%) missing valuesMissing
소재지우편번호 has 430 (4.3%) missing valuesMissing
위도 has 508 (5.1%) missing valuesMissing
경도 has 508 (5.1%) missing valuesMissing
X좌표값 has 639 (6.4%) missing valuesMissing
Y좌표값 has 639 (6.4%) missing valuesMissing
건물지상층수 has 2915 (29.1%) missing valuesMissing
건물지하층수 has 3740 (37.4%) missing valuesMissing
사용시작지상층수 has 3661 (36.6%) missing valuesMissing
사용끝지상층수 has 4874 (48.7%) missing valuesMissing
발한실여부 has 189 (1.9%) missing valuesMissing
의자수 has 4062 (40.6%) missing valuesMissing
조건부허가신고사유 has 9993 (99.9%) missing valuesMissing
세탁기수 has 5057 (50.6%) missing valuesMissing
여성종사자수 has 8136 (81.4%) missing valuesMissing
남성종사자수 has 8121 (81.2%) missing valuesMissing
회수건조수 has 5698 (57.0%) missing valuesMissing
사용끝지상층수 is highly skewed (γ1 = 39.69156802)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
건물지상층수 has 4394 (43.9%) zerosZeros
건물지하층수 has 5405 (54.0%) zerosZeros
사용시작지상층수 has 2947 (29.5%) zerosZeros
사용끝지상층수 has 1783 (17.8%) zerosZeros
의자수 has 5895 (59.0%) zerosZeros
세탁기수 has 1451 (14.5%) zerosZeros
여성종사자수 has 1770 (17.7%) zerosZeros
남성종사자수 has 1753 (17.5%) zerosZeros
회수건조수 has 1806 (18.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:48:47.167018
Analysis finished2023-12-10 21:48:49.430322
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
1069 
부천시
958 
성남시
776 
안산시
765 
고양시
673 
Other values (26)
5759 

Length

Max length4
Median length3
Mean length3.0837
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수원시
2nd row수원시
3rd row용인시
4th row성남시
5th row용인시

Common Values

ValueCountFrequency (%)
수원시 1069
 
10.7%
부천시 958
 
9.6%
성남시 776
 
7.8%
안산시 765
 
7.6%
고양시 673
 
6.7%
용인시 618
 
6.2%
안양시 553
 
5.5%
시흥시 457
 
4.6%
평택시 426
 
4.3%
의정부시 393
 
3.9%
Other values (21) 3312
33.1%

Length

2023-12-11T06:48:49.487098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1069
 
10.7%
부천시 958
 
9.6%
성남시 776
 
7.8%
안산시 765
 
7.6%
고양시 673
 
6.7%
용인시 618
 
6.2%
안양시 553
 
5.5%
시흥시 457
 
4.6%
평택시 426
 
4.3%
의정부시 393
 
3.9%
Other values (21) 3312
33.1%

인허가일자
Text

Distinct5562
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:48:49.739172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0948
Min length8

Characters and Unicode

Total characters80948
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

Unique3392 ?
Unique (%)33.9%

Sample

1st row19920129
2nd row19930217
3rd row20150624
4th row19870512
5th row20090105
ValueCountFrequency (%)
19870515 64
 
0.6%
19870514 53
 
0.5%
19870506 49
 
0.5%
20030328 46
 
0.5%
20030227 45
 
0.4%
19870518 35
 
0.4%
19870512 32
 
0.3%
20030224 27
 
0.3%
20030605 27
 
0.3%
19870508 26
 
0.3%
Other values (5552) 9596
96.0%
2023-12-11T06:48:50.149980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22956
28.4%
1 14527
17.9%
2 13090
16.2%
9 9187
11.3%
3 3844
 
4.7%
8 3825
 
4.7%
7 3439
 
4.2%
5 3229
 
4.0%
4 2951
 
3.6%
6 2944
 
3.6%
Other values (2) 956
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79992
98.8%
Dash Punctuation 948
 
1.2%
Space Separator 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22956
28.7%
1 14527
18.2%
2 13090
16.4%
9 9187
11.5%
3 3844
 
4.8%
8 3825
 
4.8%
7 3439
 
4.3%
5 3229
 
4.0%
4 2951
 
3.7%
6 2944
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 948
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80948
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22956
28.4%
1 14527
17.9%
2 13090
16.2%
9 9187
11.3%
3 3844
 
4.7%
8 3825
 
4.7%
7 3439
 
4.2%
5 3229
 
4.0%
4 2951
 
3.6%
6 2944
 
3.6%
Other values (2) 956
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22956
28.4%
1 14527
17.9%
2 13090
16.2%
9 9187
11.3%
3 3844
 
4.7%
8 3825
 
4.7%
7 3439
 
4.2%
5 3229
 
4.0%
4 2951
 
3.6%
6 2944
 
3.6%
Other values (2) 956
 
1.2%

사업장명
Text

Distinct5354
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:48:50.442706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length5.3873
Min length1

Characters and Unicode

Total characters53873
Distinct characters719
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4116 ?
Unique (%)41.2%

Sample

1st row삼은사
2nd row경용세탁소
3rd row흥덕크리닝
4th row한진사
5th row예은세탁소
ValueCountFrequency (%)
세탁소 188
 
1.7%
현대세탁소 155
 
1.4%
크린토피아 101
 
0.9%
백양세탁소 89
 
0.8%
제일세탁소 77
 
0.7%
세탁 71
 
0.7%
주공세탁소 54
 
0.5%
명품세탁소 52
 
0.5%
백조세탁소 49
 
0.5%
현대세탁 45
 
0.4%
Other values (5344) 9906
91.8%
2023-12-11T06:48:50.842336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 7101
 
13.2%
탁 6979
 
13.0%
소 5078
 
9.4%
사 1256
 
2.3%
크 1239
 
2.3%
리 881
 
1.6%
린 856
 
1.6%
807
 
1.5%
대 729
 
1.4%
성 668
 
1.2%
Other values (709) 28279
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51917
96.4%
Space Separator 807
 
1.5%
Uppercase Letter 298
 
0.6%
Decimal Number 287
 
0.5%
Open Punctuation 197
 
0.4%
Close Punctuation 197
 
0.4%
Lowercase Letter 103
 
0.2%
Other Punctuation 54
 
0.1%
Dash Punctuation 8
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 7101
 
13.7%
탁 6979
 
13.4%
소 5078
 
9.8%
사 1256
 
2.4%
크 1239
 
2.4%
리 881
 
1.7%
린 856
 
1.6%
대 729
 
1.4%
성 668
 
1.3%
이 625
 
1.2%
Other values (638) 26505
51.1%
Uppercase Letter
ValueCountFrequency (%)
K 36
12.1%
L 28
 
9.4%
C 26
 
8.7%
O 26
 
8.7%
S 25
 
8.4%
G 24
 
8.1%
E 19
 
6.4%
T 13
 
4.4%
A 11
 
3.7%
I 11
 
3.7%
Other values (15) 79
26.5%
Lowercase Letter
ValueCountFrequency (%)
e 28
27.2%
s 9
 
8.7%
o 9
 
8.7%
h 9
 
8.7%
a 8
 
7.8%
r 7
 
6.8%
n 6
 
5.8%
y 5
 
4.9%
c 5
 
4.9%
t 5
 
4.9%
Other values (8) 12
11.7%
Other Punctuation
ValueCountFrequency (%)
& 19
35.2%
. 18
33.3%
, 8
14.8%
' 3
 
5.6%
＆ 1
 
1.9%
? 1
 
1.9%
! 1
 
1.9%
# 1
 
1.9%
/ 1
 
1.9%
· 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 90
31.4%
1 84
29.3%
4 43
15.0%
9 21
 
7.3%
5 18
 
6.3%
3 12
 
4.2%
6 8
 
2.8%
8 6
 
2.1%
7 5
 
1.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
33.3%
Ⅲ 1
33.3%
ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
807
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51913
96.4%
Common 1552
 
2.9%
Latin 404
 
0.7%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 7101
 
13.7%
탁 6979
 
13.4%
소 5078
 
9.8%
사 1256
 
2.4%
크 1239
 
2.4%
리 881
 
1.7%
린 856
 
1.6%
대 729
 
1.4%
성 668
 
1.3%
이 625
 
1.2%
Other values (636) 26501
51.0%
Latin
ValueCountFrequency (%)
K 36
 
8.9%
L 28
 
6.9%
e 28
 
6.9%
C 26
 
6.4%
O 26
 
6.4%
S 25
 
6.2%
G 24
 
5.9%
E 19
 
4.7%
T 13
 
3.2%
A 11
 
2.7%
Other values (36) 168
41.6%
Common
ValueCountFrequency (%)
807
52.0%
( 197
 
12.7%
) 197
 
12.7%
2 90
 
5.8%
1 84
 
5.4%
4 43
 
2.8%
9 21
 
1.4%
& 19
 
1.2%
5 18
 
1.2%
. 18
 
1.2%
Other values (15) 58
 
3.7%
Han
ValueCountFrequency (%)
安 3
75.0%
光 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51913
96.4%
ASCII 1951
 
3.6%
CJK 4
 
< 0.1%
Number Forms 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 7101
 
13.7%
탁 6979
 
13.4%
소 5078
 
9.8%
사 1256
 
2.4%
크 1239
 
2.4%
리 881
 
1.7%
린 856
 
1.6%
대 729
 
1.4%
성 668
 
1.3%
이 625
 
1.2%
Other values (636) 26501
51.0%
ASCII
ValueCountFrequency (%)
807
41.4%
( 197
 
10.1%
) 197
 
10.1%
2 90
 
4.6%
1 84
 
4.3%
4 43
 
2.2%
K 36
 
1.8%
L 28
 
1.4%
e 28
 
1.4%
C 26
 
1.3%
Other values (56) 415
21.3%
CJK
ValueCountFrequency (%)
安 3
75.0%
光 1
 
25.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
33.3%
Ⅲ 1
33.3%
ⅰ 1
33.3%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

통합영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6698 
영업/정상
3302 

Length

Max length5
Median length2
Mean length2.9906
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6698
67.0%
영업/정상 3302
33.0%

Length

2023-12-11T06:48:50.962659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:51.046169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6698
67.0%
영업/정상 3302
33.0%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6698 
영업
3302 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6698
67.0%
영업 3302
33.0%

Length

2023-12-11T06:48:51.129974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:51.211870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6698
67.0%
영업 3302
33.0%

폐업일자
Text

MISSING 

Distinct3687
Distinct (%)55.0%
Missing3302
Missing (%)33.0%
Memory size156.2 KiB
2023-12-11T06:48:51.501899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0489698
Min length8

Characters and Unicode

Total characters53912
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

Unique2150 ?
Unique (%)32.1%

Sample

1st row20140708
2nd row20181228
3rd row20020831
4th row20150701
5th row20100126
ValueCountFrequency (%)
20030227 98
 
1.5%
20030731 48
 
0.7%
20031020 44
 
0.7%
20030226 36
 
0.5%
20020930 33
 
0.5%
20050126 32
 
0.5%
20030305 32
 
0.5%
20030602 28
 
0.4%
20041231 25
 
0.4%
20031107 23
 
0.3%
Other values (3677) 6299
94.0%
2023-12-11T06:48:51.847970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17777
33.0%
2 12392
23.0%
1 9419
17.5%
3 2678
 
5.0%
9 2275
 
4.2%
7 1952
 
3.6%
6 1903
 
3.5%
8 1809
 
3.4%
5 1791
 
3.3%
4 1587
 
2.9%
Other values (2) 329
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53583
99.4%
Dash Punctuation 328
 
0.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17777
33.2%
2 12392
23.1%
1 9419
17.6%
3 2678
 
5.0%
9 2275
 
4.2%
7 1952
 
3.6%
6 1903
 
3.6%
8 1809
 
3.4%
5 1791
 
3.3%
4 1587
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17777
33.0%
2 12392
23.0%
1 9419
17.5%
3 2678
 
5.0%
9 2275
 
4.2%
7 1952
 
3.6%
6 1903
 
3.5%
8 1809
 
3.4%
5 1791
 
3.3%
4 1587
 
2.9%
Other values (2) 329
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17777
33.0%
2 12392
23.0%
1 9419
17.5%
3 2678
 
5.0%
9 2275
 
4.2%
7 1952
 
3.6%
6 1903
 
3.5%
8 1809
 
3.4%
5 1791
 
3.3%
4 1587
 
2.9%
Other values (2) 329
 
0.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지시설전화번호
Text

MISSING 

Distinct7858
Distinct (%)94.3%
Missing1663
Missing (%)16.6%
Memory size156.2 KiB
2023-12-11T06:48:52.162219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.520091
Min length3

Characters and Unicode

Total characters87706
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

Unique7456 ?
Unique (%)89.4%

Sample

1st row031 269 8717
2nd row031 2361191
3rd row031 2121474
4th row031 321 1115
5th row031 4534046
ValueCountFrequency (%)
031 6015
35.2%
032 391
 
2.3%
02 118
 
0.7%
070 33
 
0.2%
671 20
 
0.1%
613 17
 
0.1%
635 17
 
0.1%
633 17
 
0.1%
8285 15
 
0.1%
441 15
 
0.1%
Other values (8009) 10431
61.0%
2023-12-11T06:48:52.577097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 12892
14.7%
0 11492
13.1%
1 11376
13.0%
8903
10.2%
2 7403
8.4%
4 6290
7.2%
7 6082
6.9%
6 6023
6.9%
8 5927
6.8%
5 5837
6.7%
Other values (3) 5481
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78642
89.7%
Space Separator 8903
 
10.2%
Dash Punctuation 160
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 12892
16.4%
0 11492
14.6%
1 11376
14.5%
2 7403
9.4%
4 6290
8.0%
7 6082
7.7%
6 6023
7.7%
8 5927
7.5%
5 5837
7.4%
9 5320
6.8%
Space Separator
ValueCountFrequency (%)
8903
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87706
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 12892
14.7%
0 11492
13.1%
1 11376
13.0%
8903
10.2%
2 7403
8.4%
4 6290
7.2%
7 6082
6.9%
6 6023
6.9%
8 5927
6.8%
5 5837
6.7%
Other values (3) 5481
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 12892
14.7%
0 11492
13.1%
1 11376
13.0%
8903
10.2%
2 7403
8.4%
4 6290
7.2%
7 6082
6.9%
6 6023
6.9%
8 5927
6.8%
5 5837
6.7%
Other values (3) 5481
6.2%

소재지면적
Text

MISSING 

Distinct3226
Distinct (%)32.7%
Missing142
Missing (%)1.4%
Memory size156.2 KiB
2023-12-11T06:48:52.910415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.7143437
Min length3

Characters and Unicode

Total characters46474
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1934 ?
Unique (%)19.6%

Sample

1st row24.79
2nd row17.63
3rd row29.74
4th row13.96
5th row33.30
ValueCountFrequency (%)
00 1640
 
16.6%
1.00 166
 
1.7%
33.00 123
 
1.2%
10.00 106
 
1.1%
24.00 64
 
0.6%
198.00 53
 
0.5%
30.00 52
 
0.5%
36.00 48
 
0.5%
26.40 47
 
0.5%
0.00 45
 
0.5%
Other values (3216) 7514
76.2%
2023-12-11T06:48:53.355725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10077
21.7%
. 9858
21.2%
2 4925
10.6%
1 3803
 
8.2%
3 3701
 
8.0%
4 2966
 
6.4%
5 2550
 
5.5%
6 2489
 
5.4%
8 2316
 
5.0%
9 1956
 
4.2%
Other values (2) 1833
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36608
78.8%
Other Punctuation 9866
 
21.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10077
27.5%
2 4925
13.5%
1 3803
 
10.4%
3 3701
 
10.1%
4 2966
 
8.1%
5 2550
 
7.0%
6 2489
 
6.8%
8 2316
 
6.3%
9 1956
 
5.3%
7 1825
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 9858
99.9%
, 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 46474
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10077
21.7%
. 9858
21.2%
2 4925
10.6%
1 3803
 
8.2%
3 3701
 
8.0%
4 2966
 
6.4%
5 2550
 
5.5%
6 2489
 
5.4%
8 2316
 
5.0%
9 1956
 
4.2%
Other values (2) 1833
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46474
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10077
21.7%
. 9858
21.2%
2 4925
10.6%
1 3803
 
8.2%
3 3701
 
8.0%
4 2966
 
6.4%
5 2550
 
5.5%
6 2489
 
5.4%
8 2316
 
5.0%
9 1956
 
4.2%
Other values (2) 1833
 
3.9%

소재지도로명주소
Text

MISSING 

Distinct8752
Distinct (%)97.4%
Missing1016
Missing (%)10.2%
Memory size156.2 KiB
2023-12-11T06:48:53.716661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length57
Mean length31.861309
Min length13

Characters and Unicode

Total characters286242
Distinct characters607
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8531 ?
Unique (%)95.0%

Sample

1st row경기도 수원시 장안구 덕영대로417번길 74 (율전동)
2nd row경기도 수원시 팔달구 세지로152번길 7-20 (인계동)
3rd row경기도 용인시 기흥구 흥덕1로79번길 9 (영덕동)
4th row경기도 용인시 처인구 한터로 130 (고림동)
5th row경기도 양주시 옥정서로 72, 상가동 108호 (옥정동, 옥정중앙역 중흥S-클래스 센텀시티 1블록)
ValueCountFrequency (%)
경기도 8984
 
15.3%
1층 1657
 
2.8%
수원시 962
 
1.6%
부천시 878
 
1.5%
성남시 737
 
1.3%
상가동 728
 
1.2%
안산시 718
 
1.2%
고양시 621
 
1.1%
용인시 558
 
1.0%
안양시 471
 
0.8%
Other values (10769) 42390
72.2%
2023-12-11T06:48:54.199121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49755
 
17.4%
1 13260
 
4.6%
동 10514
 
3.7%
시 9662
 
3.4%
기 9370
 
3.3%
경 9331
 
3.3%
도 9331
 
3.3%
로 8368
 
2.9%
) 8140
 
2.8%
( 8139
 
2.8%
Other values (597) 150372
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164264
57.4%
Space Separator 49755
 
17.4%
Decimal Number 47451
 
16.6%
Close Punctuation 8142
 
2.8%
Open Punctuation 8142
 
2.8%
Other Punctuation 5779
 
2.0%
Dash Punctuation 2108
 
0.7%
Uppercase Letter 549
 
0.2%
Lowercase Letter 29
 
< 0.1%
Math Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10514
 
6.4%
시 9662
 
5.9%
기 9370
 
5.7%
경 9331
 
5.7%
도 9331
 
5.7%
로 8368
 
5.1%
길 5078
 
3.1%
구 4425
 
2.7%
번 4129
 
2.5%
호 3683
 
2.2%
Other values (534) 90373
55.0%
Uppercase Letter
ValueCountFrequency (%)
A 213
38.8%
B 146
26.6%
K 20
 
3.6%
S 20
 
3.6%
P 17
 
3.1%
I 16
 
2.9%
C 15
 
2.7%
T 14
 
2.6%
G 12
 
2.2%
L 12
 
2.2%
Other values (14) 64
 
11.7%
Decimal Number
ValueCountFrequency (%)
1 13260
27.9%
2 7018
14.8%
0 4995
 
10.5%
3 4705
 
9.9%
4 3665
 
7.7%
5 3351
 
7.1%
6 3066
 
6.5%
7 2710
 
5.7%
8 2373
 
5.0%
9 2308
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 5699
98.6%
. 38
 
0.7%
@ 32
 
0.6%
/ 4
 
0.1%
& 3
 
0.1%
' 1
 
< 0.1%
※ 1
 
< 0.1%
? 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 19
65.5%
h 3
 
10.3%
a 2
 
6.9%
b 2
 
6.9%
p 1
 
3.4%
r 1
 
3.4%
t 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 17
85.0%
> 1
 
5.0%
< 1
 
5.0%
∥ 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 8140
> 99.9%
} 1
 
< 0.1%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 8139
> 99.9%
[ 2
 
< 0.1%
{ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
49755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164264
57.4%
Common 121397
42.4%
Latin 581
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10514
 
6.4%
시 9662
 
5.9%
기 9370
 
5.7%
경 9331
 
5.7%
도 9331
 
5.7%
로 8368
 
5.1%
길 5078
 
3.1%
구 4425
 
2.7%
번 4129
 
2.5%
호 3683
 
2.2%
Other values (534) 90373
55.0%
Latin
ValueCountFrequency (%)
A 213
36.7%
B 146
25.1%
K 20
 
3.4%
S 20
 
3.4%
e 19
 
3.3%
P 17
 
2.9%
I 16
 
2.8%
C 15
 
2.6%
T 14
 
2.4%
G 12
 
2.1%
Other values (23) 89
15.3%
Common
ValueCountFrequency (%)
49755
41.0%
1 13260
 
10.9%
) 8140
 
6.7%
( 8139
 
6.7%
2 7018
 
5.8%
, 5699
 
4.7%
0 4995
 
4.1%
3 4705
 
3.9%
4 3665
 
3.0%
5 3351
 
2.8%
Other values (20) 12670
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164263
57.4%
ASCII 121973
42.6%
Number Forms 3
 
< 0.1%
Math Operators 1
 
< 0.1%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49755
40.8%
1 13260
 
10.9%
) 8140
 
6.7%
( 8139
 
6.7%
2 7018
 
5.8%
, 5699
 
4.7%
0 4995
 
4.1%
3 4705
 
3.9%
4 3665
 
3.0%
5 3351
 
2.7%
Other values (49) 13246
 
10.9%
Hangul
ValueCountFrequency (%)
동 10514
 
6.4%
시 9662
 
5.9%
기 9370
 
5.7%
경 9331
 
5.7%
도 9331
 
5.7%
로 8368
 
5.1%
길 5078
 
3.1%
구 4425
 
2.7%
번 4129
 
2.5%
호 3683
 
2.2%
Other values (533) 90372
55.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

소재지지번주소
Text

Distinct9737
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:48:54.519806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length27.3578
Min length15

Characters and Unicode

Total characters273578
Distinct characters573
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9487 ?
Unique (%)94.9%

Sample

1st row경기도 수원시 장안구 율전동 142-10
2nd row경기도 수원시 팔달구 인계동 1004
3rd row경기도 용인시 기흥구 영덕동 980번지 휴먼시아1단지 나상가동 103호
4th row경기도 성남시 수정구 단대동 121-4번지
5th row경기도 용인시 처인구 고림동 369-4번지
ValueCountFrequency (%)
경기도 10000
 
17.7%
1층 1266
 
2.2%
수원시 1069
 
1.9%
부천시 958
 
1.7%
성남시 776
 
1.4%
안산시 765
 
1.4%
고양시 673
 
1.2%
상가동 621
 
1.1%
용인시 618
 
1.1%
안양시 553
 
1.0%
Other values (12393) 39344
69.5%
2023-12-11T06:48:54.962648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55513
20.3%
1 13280
 
4.9%
동 11252
 
4.1%
시 10550
 
3.9%
기 10333
 
3.8%
도 10278
 
3.8%
경 10066
 
3.7%
지 8198
 
3.0%
- 6947
 
2.5%
2 6821
 
2.5%
Other values (563) 130340
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155154
56.7%
Space Separator 55513
 
20.3%
Decimal Number 53558
 
19.6%
Dash Punctuation 6947
 
2.5%
Uppercase Letter 618
 
0.2%
Close Punctuation 599
 
0.2%
Open Punctuation 599
 
0.2%
Other Punctuation 532
 
0.2%
Lowercase Letter 36
 
< 0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11252
 
7.3%
시 10550
 
6.8%
기 10333
 
6.7%
도 10278
 
6.6%
경 10066
 
6.5%
지 8198
 
5.3%
번 6679
 
4.3%
구 4764
 
3.1%
호 3604
 
2.3%
상 3317
 
2.1%
Other values (500) 76113
49.1%
Uppercase Letter
ValueCountFrequency (%)
A 274
44.3%
B 145
23.5%
P 23
 
3.7%
K 21
 
3.4%
T 18
 
2.9%
S 17
 
2.8%
I 15
 
2.4%
L 15
 
2.4%
C 14
 
2.3%
G 13
 
2.1%
Other values (14) 63
 
10.2%
Decimal Number
ValueCountFrequency (%)
1 13280
24.8%
2 6821
12.7%
0 5899
11.0%
3 4882
 
9.1%
4 4494
 
8.4%
5 4243
 
7.9%
6 3808
 
7.1%
7 3650
 
6.8%
8 3466
 
6.5%
9 3015
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 352
66.2%
@ 101
 
19.0%
. 62
 
11.7%
/ 12
 
2.3%
& 2
 
0.4%
' 1
 
0.2%
＆ 1
 
0.2%
※ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
58.3%
a 5
 
13.9%
h 3
 
8.3%
t 2
 
5.6%
b 2
 
5.6%
p 2
 
5.6%
r 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
~ 16
84.2%
< 1
 
5.3%
> 1
 
5.3%
∥ 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 597
99.7%
] 1
 
0.2%
} 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 596
99.5%
[ 2
 
0.3%
{ 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
55513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6947
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155154
56.7%
Common 117767
43.0%
Latin 657
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11252
 
7.3%
시 10550
 
6.8%
기 10333
 
6.7%
도 10278
 
6.6%
경 10066
 
6.5%
지 8198
 
5.3%
번 6679
 
4.3%
구 4764
 
3.1%
호 3604
 
2.3%
상 3317
 
2.1%
Other values (500) 76113
49.1%
Latin
ValueCountFrequency (%)
A 274
41.7%
B 145
22.1%
P 23
 
3.5%
K 21
 
3.2%
e 21
 
3.2%
T 18
 
2.7%
S 17
 
2.6%
I 15
 
2.3%
L 15
 
2.3%
C 14
 
2.1%
Other values (23) 94
 
14.3%
Common
ValueCountFrequency (%)
55513
47.1%
1 13280
 
11.3%
- 6947
 
5.9%
2 6821
 
5.8%
0 5899
 
5.0%
3 4882
 
4.1%
4 4494
 
3.8%
5 4243
 
3.6%
6 3808
 
3.2%
7 3650
 
3.1%
Other values (20) 8230
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155151
56.7%
ASCII 118418
43.3%
Number Forms 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Math Operators 1
 
< 0.1%
None 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55513
46.9%
1 13280
 
11.2%
- 6947
 
5.9%
2 6821
 
5.8%
0 5899
 
5.0%
3 4882
 
4.1%
4 4494
 
3.8%
5 4243
 
3.6%
6 3808
 
3.2%
7 3650
 
3.1%
Other values (48) 8881
 
7.5%
Hangul
ValueCountFrequency (%)
동 11252
 
7.3%
시 10550
 
6.8%
기 10333
 
6.7%
도 10278
 
6.6%
경 10066
 
6.5%
지 8198
 
5.3%
번 6679
 
4.3%
구 4764
 
3.1%
호 3604
 
2.3%
상 3317
 
2.1%
Other values (497) 76110
49.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅰ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
33.3%
ㅇ 1
33.3%
ㅡ 1
33.3%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
None
ValueCountFrequency (%)
＆ 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct3549
Distinct (%)37.1%
Missing430
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean14407.622
Minimum10009
Maximum18628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:55.119262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10009
5-th percentile10362
Q112428.75
median14598
Q316445.75
95-th percentile18119
Maximum18628
Range8619
Interquartile range (IQR)4017

Descriptive statistics

Standard deviation2396.9317
Coefficient of variation (CV)0.16636553
Kurtosis-1.0306213
Mean14407.622
Median Absolute Deviation (MAD)1926
Skewness-0.16994806
Sum1.3788094 × 108
Variance5745281.4
MonotonicityNot monotonic
2023-12-11T06:48:55.474185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15052 24
 
0.2%
10935 22
 
0.2%
14948 15
 
0.1%
14950 15
 
0.1%
14548 15
 
0.1%
15811 14
 
0.1%
14940 14
 
0.1%
14905 14
 
0.1%
15002 14
 
0.1%
15521 13
 
0.1%
Other values (3539) 9410
94.1%
(Missing) 430
 
4.3%
ValueCountFrequency (%)
10009 1
 
< 0.1%
10011 5
0.1%
10012 2
 
< 0.1%
10014 1
 
< 0.1%
10018 7
0.1%
10019 5
0.1%
10020 1
 
< 0.1%
10024 3
< 0.1%
10027 1
 
< 0.1%
10029 1
 
< 0.1%
ValueCountFrequency (%)
18628 1
 
< 0.1%
18625 1
 
< 0.1%
18617 2
 
< 0.1%
18615 1
 
< 0.1%
18614 1
 
< 0.1%
18613 1
 
< 0.1%
18606 5
0.1%
18603 2
 
< 0.1%
18602 2
 
< 0.1%
18601 1
 
< 0.1%

위도
Real number (ℝ)

MISSING 

Distinct8536
Distinct (%)89.9%
Missing508
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean37.428721
Minimum36.940002
Maximum38.185571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:55.635871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.940002
5-th percentile37.076547
Q137.289987
median37.397974
Q337.5487
95-th percentile37.784025
Maximum38.185571
Range1.2455687
Interquartile range (IQR)0.2587129

Descriptive statistics

Standard deviation0.20902037
Coefficient of variation (CV)0.0055844915
Kurtosis-0.02224351
Mean37.428721
Median Absolute Deviation (MAD)0.11805165
Skewness0.33462071
Sum355273.42
Variance0.043689515
MonotonicityNot monotonic
2023-12-11T06:48:55.798189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2616864038 6
 
0.1%
37.6421846 6
 
0.1%
37.7452079 5
 
0.1%
37.3947226 5
 
0.1%
37.3593041 4
 
< 0.1%
37.0021834 4
 
< 0.1%
37.2669907845 4
 
< 0.1%
37.3411963 4
 
< 0.1%
37.5000069 4
 
< 0.1%
37.5385672 4
 
< 0.1%
Other values (8526) 9446
94.5%
(Missing) 508
 
5.1%
ValueCountFrequency (%)
36.9400023 1
< 0.1%
36.9570298 1
< 0.1%
36.958022 1
< 0.1%
36.9590474814 1
< 0.1%
36.9591117 1
< 0.1%
36.9599407 1
< 0.1%
36.9601109 1
< 0.1%
36.9602211 1
< 0.1%
36.9604306516 1
< 0.1%
36.9605836 1
< 0.1%
ValueCountFrequency (%)
38.185571 1
< 0.1%
38.1848775 1
< 0.1%
38.1848512 1
< 0.1%
38.1584688 1
< 0.1%
38.1582689 1
< 0.1%
38.1581332 1
< 0.1%
38.1574653 1
< 0.1%
38.1465548 1
< 0.1%
38.1332149 2
< 0.1%
38.1001906 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct8540
Distinct (%)90.0%
Missing508
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean126.98895
Minimum126.5377
Maximum127.75309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:55.976027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5377
5-th percentile126.7513
Q1126.81946
median126.9977
Q3127.11069
95-th percentile127.27511
Maximum127.75309
Range1.2153904
Interquartile range (IQR)0.29122482

Descriptive statistics

Standard deviation0.18598978
Coefficient of variation (CV)0.001464614
Kurtosis0.6703941
Mean126.98895
Median Absolute Deviation (MAD)0.14271631
Skewness0.66486239
Sum1205379.1
Variance0.0345922
MonotonicityNot monotonic
2023-12-11T06:48:56.129639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0426082853 6
 
0.1%
126.8359524 6
 
0.1%
127.0287394 5
 
0.1%
126.9433115 5
 
0.1%
126.994294862 4
 
< 0.1%
126.7578227 4
 
< 0.1%
126.7675778 4
 
< 0.1%
127.0857497 4
 
< 0.1%
126.787603 4
 
< 0.1%
127.2223967 4
 
< 0.1%
Other values (8530) 9446
94.5%
(Missing) 508
 
5.1%
ValueCountFrequency (%)
126.5377019 1
< 0.1%
126.5536726 1
< 0.1%
126.553815 1
< 0.1%
126.5546470743 1
< 0.1%
126.5572517637 1
< 0.1%
126.5611458 1
< 0.1%
126.5821141592 1
< 0.1%
126.5833119 1
< 0.1%
126.5833944 2
< 0.1%
126.5844477 1
< 0.1%
ValueCountFrequency (%)
127.7530923 1
< 0.1%
127.6850027712 1
< 0.1%
127.6810723 1
< 0.1%
127.6620559 1
< 0.1%
127.6619709 1
< 0.1%
127.6605546 1
< 0.1%
127.6588331015 1
< 0.1%
127.6582785643 1
< 0.1%
127.6483039 1
< 0.1%
127.6471661431 1
< 0.1%

업태구분명정보
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반세탁업
9359 
빨래방업
 
253
운동화전문세탁업
 
219
세탁업 기타
 
166
기타
 
3

Length

Max length8
Median length5
Mean length5.0561
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 9359
93.6%
빨래방업 253
 
2.5%
운동화전문세탁업 219
 
2.2%
세탁업 기타 166
 
1.7%
기타 3
 
< 0.1%

Length

2023-12-11T06:48:56.285238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:56.401998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 9359
92.1%
빨래방업 253
 
2.5%
운동화전문세탁업 219
 
2.2%
기타 169
 
1.7%
세탁업 166
 
1.6%

X좌표값
Real number (ℝ)

MISSING 

Distinct7992
Distinct (%)85.4%
Missing639
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean198965.09
Minimum159180.13
Maximum266600.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:56.553261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159180.13
5-th percentile177948.3
Q1183928.47
median199754.15
Q3209705.97
95-th percentile224507.59
Maximum266600.96
Range107420.83
Interquartile range (IQR)25777.502

Descriptive statistics

Standard deviation16454.686
Coefficient of variation (CV)0.082701375
Kurtosis0.68228985
Mean198965.09
Median Absolute Deviation (MAD)12595.846
Skewness0.66764169
Sum1.8625122 × 109
Variance2.707567 × 108
MonotonicityNot monotonic
2023-12-11T06:48:56.694599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
175606.345197841 7
 
0.1%
185457.654190376 7
 
0.1%
194913.852143438 6
 
0.1%
186034.79271903 5
 
0.1%
202989.964404269 5
 
0.1%
207094.578330094 5
 
0.1%
181108.608529259 5
 
0.1%
207566.304246297 5
 
0.1%
199932.16604224 4
 
< 0.1%
179378.494645801 4
 
< 0.1%
Other values (7982) 9308
93.1%
(Missing) 639
 
6.4%
ValueCountFrequency (%)
159180.129229934 1
< 0.1%
160581.896059998 1
< 0.1%
160595.408413169 1
< 0.1%
160665.97894988 1
< 0.1%
160877.263137903 1
< 0.1%
161211.3318215 1
< 0.1%
163075.626775423 1
< 0.1%
163128.969120085 1
< 0.1%
163163.698087139 1
< 0.1%
163170.134222453 2
< 0.1%
ValueCountFrequency (%)
266600.963467843 1
< 0.1%
260667.033391299 1
< 0.1%
260298.217480594 1
< 0.1%
258706.655917429 1
< 0.1%
258699.312973724 1
< 0.1%
258508.735977746 1
< 0.1%
258401.289375271 1
< 0.1%
258270.662016355 1
< 0.1%
257448.745185653 1
< 0.1%
257288.23339502 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct7994
Distinct (%)85.4%
Missing639
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean436216.37
Minimum382056.87
Maximum520309.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:56.847950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum382056.87
5-th percentile397308.31
Q1420868.61
median432620.14
Q3448892.53
95-th percentile475767.47
Maximum520309.36
Range138252.49
Interquartile range (IQR)28023.925

Descriptive statistics

Standard deviation23169.271
Coefficient of variation (CV)0.053114172
Kurtosis-0.010481689
Mean436216.37
Median Absolute Deviation (MAD)12909.685
Skewness0.34830721
Sum4.0834215 × 109
Variance5.3681514 × 108
MonotonicityNot monotonic
2023-12-11T06:48:56.981111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455963.206505953 7
 
0.1%
460001.971602972 7
 
0.1%
432525.45562329 6
 
0.1%
424698.61951891 5
 
0.1%
389061.121268849 5
 
0.1%
424864.389594433 5
 
0.1%
419844.769080586 5
 
0.1%
388962.839512392 5
 
0.1%
469839.78070799 4
 
< 0.1%
458669.863237957 4
 
< 0.1%
Other values (7984) 9308
93.1%
(Missing) 639
 
6.4%
ValueCountFrequency (%)
382056.870465933 1
< 0.1%
383947.773801738 1
< 0.1%
384059.779767745 1
< 0.1%
384178.379348584 1
< 0.1%
384178.448271421 1
< 0.1%
384272.677880331 1
< 0.1%
384300.44550633 1
< 0.1%
384324.72307436 1
< 0.1%
384342.362575398 1
< 0.1%
384364.504226915 1
< 0.1%
ValueCountFrequency (%)
520309.360258037 1
< 0.1%
520230.162666667 1
< 0.1%
520228.723152797 1
< 0.1%
517323.902401896 1
< 0.1%
517301.461750878 1
< 0.1%
517285.012694224 1
< 0.1%
517212.623420392 1
< 0.1%
515999.737410481 1
< 0.1%
514492.92875927 2
< 0.1%
510823.794827509 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반세탁업
9359 
빨래방업
 
253
운동화전문세탁업
 
219
세탁업 기타
 
166
기타
 
3

Length

Max length8
Median length5
Mean length5.0561
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 9359
93.6%
빨래방업 253
 
2.5%
운동화전문세탁업 219
 
2.2%
세탁업 기타 166
 
1.7%
기타 3
 
< 0.1%

Length

2023-12-11T06:48:57.124908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:57.246681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 9359
92.1%
빨래방업 253
 
2.5%
운동화전문세탁업 219
 
2.2%
기타 169
 
1.7%
세탁업 166
 
1.6%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)0.4%
Missing2915
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean0.9067043
Minimum0
Maximum47
Zeros4394
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:57.358074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum47
Range47
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0241111
Coefficient of variation (CV)2.2323829
Kurtosis100.26097
Mean0.9067043
Median Absolute Deviation (MAD)0
Skewness7.5576541
Sum6424
Variance4.0970259
MonotonicityNot monotonic
2023-12-11T06:48:57.484069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4394
43.9%
1 1135
 
11.3%
2 675
 
6.8%
3 530
 
5.3%
4 179
 
1.8%
5 71
 
0.7%
6 20
 
0.2%
15 19
 
0.2%
10 12
 
0.1%
7 10
 
0.1%
Other values (16) 40
 
0.4%
(Missing) 2915
29.1%
ValueCountFrequency (%)
0 4394
43.9%
1 1135
 
11.3%
2 675
 
6.8%
3 530
 
5.3%
4 179
 
1.8%
5 71
 
0.7%
6 20
 
0.2%
7 10
 
0.1%
8 4
 
< 0.1%
9 6
 
0.1%
ValueCountFrequency (%)
47 1
 
< 0.1%
35 1
 
< 0.1%
33 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
27 4
< 0.1%
24 1
 
< 0.1%
20 2
< 0.1%
18 4
< 0.1%
16 2
< 0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.1%
Missing3740
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean0.17284345
Minimum0
Maximum12
Zeros5405
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:57.577418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.54322409
Coefficient of variation (CV)3.1428676
Kurtosis65.518732
Mean0.17284345
Median Absolute Deviation (MAD)0
Skewness6.061741
Sum1082
Variance0.29509241
MonotonicityNot monotonic
2023-12-11T06:48:57.675822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 5405
54.0%
1 753
 
7.5%
2 41
 
0.4%
3 25
 
0.2%
4 18
 
0.2%
5 15
 
0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 3740
37.4%
ValueCountFrequency (%)
0 5405
54.0%
1 753
 
7.5%
2 41
 
0.4%
3 25
 
0.2%
4 18
 
0.2%
5 15
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
5 15
 
0.1%
4 18
 
0.2%
3 25
 
0.2%
2 41
 
0.4%
1 753
 
7.5%
0 5405
54.0%

사용시작지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.1%
Missing3661
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean0.6220224
Minimum0
Maximum12
Zeros2947
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:57.788064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.68895236
Coefficient of variation (CV)1.1076006
Kurtosis28.984983
Mean0.6220224
Median Absolute Deviation (MAD)1
Skewness2.517219
Sum3943
Variance0.47465536
MonotonicityNot monotonic
2023-12-11T06:48:57.921939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2947
29.5%
1 2913
29.1%
2 444
 
4.4%
3 24
 
0.2%
4 6
 
0.1%
11 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
12 1
 
< 0.1%
(Missing) 3661
36.6%
ValueCountFrequency (%)
0 2947
29.5%
1 2913
29.1%
2 444
 
4.4%
3 24
 
0.2%
4 6
 
0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 2
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 6
 
0.1%
3 24
 
0.2%
2 444
 
4.4%
1 2913
29.1%
0 2947
29.5%

사용끝지상층수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct12
Distinct (%)0.2%
Missing4874
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean0.86987905
Minimum0
Maximum202
Zeros1783
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:58.027032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum202
Range202
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.8576679
Coefficient of variation (CV)4.4347176
Kurtosis1771.044
Mean0.86987905
Median Absolute Deviation (MAD)0
Skewness39.691568
Sum4459
Variance14.881602
MonotonicityNot monotonic
2023-12-11T06:48:58.127993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2808
28.1%
0 1783
 
17.8%
2 484
 
4.8%
3 36
 
0.4%
4 8
 
0.1%
5 1
 
< 0.1%
112 1
 
< 0.1%
102 1
 
< 0.1%
105 1
 
< 0.1%
7 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 4874
48.7%
ValueCountFrequency (%)
0 1783
17.8%
1 2808
28.1%
2 484
 
4.8%
3 36
 
0.4%
4 8
 
0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
102 1
 
< 0.1%
105 1
 
< 0.1%
ValueCountFrequency (%)
202 1
 
< 0.1%
112 1
 
< 0.1%
105 1
 
< 0.1%
102 1
 
< 0.1%
10 1
 
< 0.1%
7 1
 
< 0.1%
5 1
 
< 0.1%
4 8
 
0.1%
3 36
 
0.4%
2 484
4.8%

사용시작지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5326 
0
4480 
1
 
185
2
 
7
4
 
1

Length

Max length4
Median length4
Mean length2.5978
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5326
53.3%
0 4480
44.8%
1 185
 
1.8%
2 7
 
0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-11T06:48:58.244089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:58.339381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5326
53.3%
0 4480
44.8%
1 185
 
1.8%
2 7
 
0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

사용끝지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6620 
0
3194 
1
 
179
2
 
5
4
 
1

Length

Max length4
Median length4
Mean length2.986
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6620
66.2%
0 3194
31.9%
1 179
 
1.8%
2 5
 
0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-11T06:48:58.448299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:58.545440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6620
66.2%
0 3194
31.9%
1 179
 
1.8%
2 5
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

한실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5907 
<NA>
4093 

Length

Max length4
Median length1
Mean length2.2279
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 5907
59.1%
<NA> 4093
40.9%

Length

2023-12-11T06:48:58.653238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:58.739928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5907
59.1%
na 4093
40.9%

양실수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5907 
<NA>
4092 
45
 
1

Length

Max length4
Median length1
Mean length2.2277
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5907
59.1%
<NA> 4092
40.9%
45 1
 
< 0.1%

Length

2023-12-11T06:48:58.840046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:58.949395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5907
59.1%
na 4092
40.9%
45 1
 
< 0.1%

욕실수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5906 
<NA>
4093 
2
 
1

Length

Max length4
Median length1
Mean length2.2279
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5906
59.1%
<NA> 4093
40.9%
2 1
 
< 0.1%

Length

2023-12-11T06:48:59.051382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:48:59.137342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5906
59.1%
na 4093
40.9%
2 1
 
< 0.1%

발한실여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing189
Missing (%)1.9%
Memory size97.7 KiB
False
9807 
True
 
4
(Missing)
 
189
ValueCountFrequency (%)
False 9807
98.1%
True 4
 
< 0.1%
(Missing) 189
 
1.9%
2023-12-11T06:48:59.217434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.2%
Missing4062
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean0.029471202
Minimum0
Maximum14
Zeros5895
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:48:59.325161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39233058
Coefficient of variation (CV)13.312337
Kurtosis424.32347
Mean0.029471202
Median Absolute Deviation (MAD)0
Skewness17.957352
Sum175
Variance0.15392328
MonotonicityNot monotonic
2023-12-11T06:48:59.418314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 5895
59.0%
3 19
 
0.2%
5 7
 
0.1%
4 6
 
0.1%
2 4
 
< 0.1%
8 3
 
< 0.1%
6 2
 
< 0.1%
1 1
 
< 0.1%
14 1
 
< 0.1%
(Missing) 4062
40.6%
ValueCountFrequency (%)
0 5895
59.0%
1 1
 
< 0.1%
2 4
 
< 0.1%
3 19
 
0.2%
4 6
 
0.1%
5 7
 
0.1%
6 2
 
< 0.1%
8 3
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
8 3
 
< 0.1%
6 2
 
< 0.1%
5 7
 
0.1%
4 6
 
0.1%
3 19
 
0.2%
2 4
 
< 0.1%
1 1
 
< 0.1%
0 5895
59.0%

조건부허가신고사유
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing9993
Missing (%)99.9%
Memory size156.2 KiB
2023-12-11T06:48:59.623546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length30
Mean length45.428571
Min length8

Characters and Unicode

Total characters318
Distinct characters124
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row세탁시설 용적 2㎥이상 또는 시간당 1㎥이상 용수 사용할 경우 폐수배출시설 설치 허가(신고) 대상임
2nd row공중위생관리법시행령 제3조제1호의 규정에 의한 건축물규모 이하의 건축 청소로 먼지,일산화탄소,이산화탄소 측정하는 측정장비 갖추지 아니함.
3rd row생산시설변경및 증설시 환경자원과와상하수도과와 별도협의
4th row외국인 체류기간
5th row가설건축물(존치기간)
ValueCountFrequency (%)
규정에 2
 
3.6%
세탁시설 1
 
1.8%
환경자원과와상하수도과와 1
 
1.8%
외국인 1
 
1.8%
체류기간 1
 
1.8%
가설건축물(존치기간 1
 
1.8%
1.영업신고기간은 1
 
1.8%
가설건축물 1
 
1.8%
존치 1
 
1.8%
기간까지 1
 
1.8%
Other values (45) 45
80.4%
2023-12-11T06:48:59.924722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
15.4%
시 12
 
3.8%
설 8
 
2.5%
. 8
 
2.5%
지 6
 
1.9%
의 6
 
1.9%
건 6
 
1.9%
이 6
 
1.9%
축 6
 
1.9%
3 5
 
1.6%
Other values (114) 206
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
74.2%
Space Separator 49
 
15.4%
Decimal Number 17
 
5.3%
Other Punctuation 10
 
3.1%
Other Symbol 2
 
0.6%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 12
 
5.1%
설 8
 
3.4%
지 6
 
2.5%
의 6
 
2.5%
건 6
 
2.5%
이 6
 
2.5%
축 6
 
2.5%
정 5
 
2.1%
기 5
 
2.1%
물 5
 
2.1%
Other values (102) 171
72.5%
Decimal Number
ValueCountFrequency (%)
3 5
29.4%
1 4
23.5%
2 3
17.6%
0 2
 
11.8%
4 2
 
11.8%
6 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
, 2
 
20.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
74.2%
Common 82
 
25.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 12
 
5.1%
설 8
 
3.4%
지 6
 
2.5%
의 6
 
2.5%
건 6
 
2.5%
이 6
 
2.5%
축 6
 
2.5%
정 5
 
2.1%
기 5
 
2.1%
물 5
 
2.1%
Other values (102) 171
72.5%
Common
ValueCountFrequency (%)
49
59.8%
. 8
 
9.8%
3 5
 
6.1%
1 4
 
4.9%
2 3
 
3.7%
㎥ 2
 
2.4%
0 2
 
2.4%
4 2
 
2.4%
, 2
 
2.4%
) 2
 
2.4%
Other values (2) 3
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
74.2%
ASCII 80
 
25.2%
CJK Compat 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
61.3%
. 8
 
10.0%
3 5
 
6.2%
1 4
 
5.0%
2 3
 
3.8%
0 2
 
2.5%
4 2
 
2.5%
, 2
 
2.5%
) 2
 
2.5%
( 2
 
2.5%
Hangul
ValueCountFrequency (%)
시 12
 
5.1%
설 8
 
3.4%
지 6
 
2.5%
의 6
 
2.5%
건 6
 
2.5%
이 6
 
2.5%
축 6
 
2.5%
정 5
 
2.1%
기 5
 
2.1%
물 5
 
2.1%
Other values (102) 171
72.5%
CJK Compat
ValueCountFrequency (%)
㎥ 2
100.0%

조건부허가시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9996 
20210614
 
1
20110801
 
1
20110914
 
1
20120710
 
1

Length

Max length8
Median length4
Mean length4.0016
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9996
> 99.9%
20210614 1
 
< 0.1%
20110801 1
 
< 0.1%
20110914 1
 
< 0.1%
20120710 1
 
< 0.1%

Length

2023-12-11T06:49:00.109186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:00.257218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9996
> 99.9%
20210614 1
 
< 0.1%
20110801 1
 
< 0.1%
20110914 1
 
< 0.1%
20120710 1
 
< 0.1%

조건부허가종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9996 
20240907
 
1
20131130
 
1
20150803
 
1
20120930
 
1

Length

Max length8
Median length4
Mean length4.0016
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9996
> 99.9%
20240907 1
 
< 0.1%
20131130 1
 
< 0.1%
20150803 1
 
< 0.1%
20120930 1
 
< 0.1%

Length

2023-12-11T06:49:00.383053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:00.492342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9996
> 99.9%
20240907 1
 
< 0.1%
20131130 1
 
< 0.1%
20150803 1
 
< 0.1%
20120930 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7976 
임대
1880 
자가
 
144

Length

Max length4
Median length4
Mean length3.5952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7976
79.8%
임대 1880
 
18.8%
자가 144
 
1.4%

Length

2023-12-11T06:49:00.629527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:00.727379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7976
79.8%
임대 1880
 
18.8%
자가 144
 
1.4%

세탁기수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)0.4%
Missing5057
Missing (%)50.6%
Infinite0
Infinite (%)0.0%
Mean1.4499292
Minimum0
Maximum40
Zeros1451
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:49:00.833653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum40
Range40
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5449136
Coefficient of variation (CV)1.0655097
Kurtosis127.83761
Mean1.4499292
Median Absolute Deviation (MAD)1
Skewness6.567428
Sum7167
Variance2.3867579
MonotonicityNot monotonic
2023-12-11T06:49:00.948864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 1451
 
14.5%
2 1386
 
13.9%
1 1239
 
12.4%
3 601
 
6.0%
4 177
 
1.8%
5 43
 
0.4%
6 17
 
0.2%
7 11
 
0.1%
8 6
 
0.1%
9 3
 
< 0.1%
Other values (8) 9
 
0.1%
(Missing) 5057
50.6%
ValueCountFrequency (%)
0 1451
14.5%
1 1239
12.4%
2 1386
13.9%
3 601
6.0%
4 177
 
1.8%
5 43
 
0.4%
6 17
 
0.2%
7 11
 
0.1%
8 6
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
40 1
 
< 0.1%
34 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
12 2
 
< 0.1%
11 1
 
< 0.1%
9 3
< 0.1%
8 6
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.4%
Missing8136
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean0.070815451
Minimum0
Maximum15
Zeros1770
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:49:01.079175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.85
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.47517681
Coefficient of variation (CV)6.7100725
Kurtosis544.87797
Mean0.070815451
Median Absolute Deviation (MAD)0
Skewness19.351812
Sum132
Variance0.225793
MonotonicityNot monotonic
2023-12-11T06:49:01.188212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1770
 
17.7%
1 80
 
0.8%
2 8
 
0.1%
4 3
 
< 0.1%
6 1
 
< 0.1%
3 1
 
< 0.1%
15 1
 
< 0.1%
(Missing) 8136
81.4%
ValueCountFrequency (%)
0 1770
17.7%
1 80
 
0.8%
2 8
 
0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
6 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
6 1
 
< 0.1%
4 3
 
< 0.1%
3 1
 
< 0.1%
2 8
 
0.1%
1 80
 
0.8%
0 1770
17.7%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.3%
Missing8121
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean0.085151676
Minimum0
Maximum8
Zeros1753
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:49:01.292621image/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 deviation0.39321707
Coefficient of variation (CV)4.617843
Kurtosis145.74491
Mean0.085151676
Median Absolute Deviation (MAD)0
Skewness9.4219694
Sum160
Variance0.15461967
MonotonicityNot monotonic
2023-12-11T06:49:01.394409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1753
 
17.5%
1 105
 
1.1%
2 17
 
0.2%
3 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 8121
81.2%
ValueCountFrequency (%)
0 1753
17.5%
1 105
 
1.1%
2 17
 
0.2%
3 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 1
 
< 0.1%
3 2
 
< 0.1%
2 17
 
0.2%
1 105
 
1.1%
0 1753
17.5%

회수건조수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.3%
Missing5698
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean0.76336588
Minimum0
Maximum24
Zeros1806
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:49:01.493114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.97886364
Coefficient of variation (CV)1.2822994
Kurtosis92.216095
Mean0.76336588
Median Absolute Deviation (MAD)1
Skewness5.5808245
Sum3284
Variance0.95817402
MonotonicityNot monotonic
2023-12-11T06:49:01.595635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 2067
 
20.7%
0 1806
 
18.1%
2 236
 
2.4%
3 103
 
1.0%
4 61
 
0.6%
5 18
 
0.2%
7 4
 
< 0.1%
6 3
 
< 0.1%
8 2
 
< 0.1%
16 1
 
< 0.1%
(Missing) 5698
57.0%
ValueCountFrequency (%)
0 1806
18.1%
1 2067
20.7%
2 236
 
2.4%
3 103
 
1.0%
4 61
 
0.6%
5 18
 
0.2%
6 3
 
< 0.1%
7 4
 
< 0.1%
8 2
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
16 1
 
< 0.1%
8 2
 
< 0.1%
7 4
 
< 0.1%
6 3
 
< 0.1%
5 18
 
0.2%
4 61
 
0.6%
3 103
 
1.0%
2 236
 
2.4%
1 2067
20.7%

침대수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5811 
0
4188 
1
 
1

Length

Max length4
Median length4
Mean length2.7433
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5811
58.1%
0 4188
41.9%
1 1
 
< 0.1%

Length

2023-12-11T06:49:01.699595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:49:02.035645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5811
58.1%
0 4188
41.9%
1 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9998 
True
 
2
ValueCountFrequency (%)
False 9998
> 99.9%
True 2
 
< 0.1%
2023-12-11T06:49:02.107486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층수사용끝지상층수사용시작지하층수사용끝지하층수한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
5803수원시19920129삼은사<NA>영업/정상영업<NA><NA><NA><NA>031 269 871724.79경기도 수원시 장안구 덕영대로417번길 74 (율전동)경기도 수원시 장안구 율전동 142-101635637.303943126.968422일반세탁업197129.587054422440.148339일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
5274수원시19930217경용세탁소<NA>폐업폐업20140708<NA><NA><NA>031 236119117.63경기도 수원시 팔달구 세지로152번길 7-20 (인계동)경기도 수원시 팔달구 인계동 10041647937.2657127.021992일반세탁업201879.123968418193.858559일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
10730용인시20150624흥덕크리닝<NA>폐업폐업20181228<NA><NA><NA>031 212147429.74경기도 용인시 기흥구 흥덕1로79번길 9 (영덕동)경기도 용인시 기흥구 영덕동 980번지 휴먼시아1단지 나상가동 103호1695437.275127127.069585일반세탁업206106.541924419251.411692일반세탁업00<NA><NA><NA><NA>000N0<NA><NA><NA><NA>20000N
5150성남시19870512한진사<NA>폐업폐업20020831<NA><NA><NA><NA>13.96<NA>경기도 성남시 수정구 단대동 121-4번지<NA>37.451166127.156706일반세탁업<NA><NA>일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
10389용인시20090105예은세탁소<NA>폐업폐업20150701<NA><NA><NA>031 321 111533.30경기도 용인시 처인구 한터로 130 (고림동)경기도 용인시 처인구 고림동 369-4번지1714937.249519127.225264일반세탁업219918.596377416432.124787일반세탁업000000000N0<NA><NA><NA><NA>1<NA><NA>10N
9369양주시2023-10-19중흥세탁<NA>영업/정상영업<NA><NA><NA><NA><NA>51.52경기도 양주시 옥정서로 72, 상가동 108호 (옥정동, 옥정중앙역 중흥S-클래스 센텀시티 1블록)경기도 양주시 옥정동 960 옥정중앙역 중흥S-클래스 센텀시티 1블록 상가동 108호1147237.819994127.0886일반세탁업207683.483368479680.10076일반세탁업000000000N0<NA><NA><NA><NA>10000N
167고양시20130305대진<NA>영업/정상영업<NA><NA><NA><NA><NA>197.58경기도 고양시 일산동구 견달산로369번길 18, 1층 전체호 (문봉동, 가동)경기도 고양시 일산동구 문봉동 107-1번지 가동 1층전체1031337.69938126.819451일반세탁업184012.342955466352.98894일반세탁업1011<NA><NA>000N0<NA><NA><NA><NA>2<NA><NA>00N
1757군포시19870703미광세탁소<NA>폐업폐업20100126<NA><NA><NA>031 453404622.78경기도 군포시 당동로21번길 3 1층 (당동)경기도 군포시 당동 787번지 (1층)1586137.35087126.942037일반세탁업194797.972625427657.965999일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
286고양시20120912명품빨래박사<NA>폐업폐업20120927<NA><NA><NA>031 922 388249.50경기도 고양시 일산서구 고양대로 618, 118호 (일산동, 풍원리빙프라자)경기도 고양시 일산서구 일산동 957-3번지 풍원리빙프라자 118호1035237.685877126.764987빨래방업179205.349739464864.960455빨래방업142<NA><NA><NA><NA>000N0<NA><NA><NA><NA>2<NA><NA>00N
9225양주시2013-04-30(주)춘파 양주지점<NA>영업/정상영업<NA><NA><NA><NA>15775663700.00경기도 양주시 은현면 은현로55번길 21-41, 1층경기도 양주시 은현면 선암리 510-1 , 510-21142737.872345127.022397세탁업 기타201873.41788485530.034049세탁업 기타201100000N0<NA><NA><NA><NA>40000N
시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층수사용끝지상층수사용시작지하층수사용끝지하층수한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
4681성남시19870518소망세탁소<NA>폐업폐업20201106<NA><NA><NA>031 7492768.00경기도 성남시 수정구 양지로 2, 1층 (양지동)경기도 성남시 수정구 양지동 865-1 1층1314037.455289127.160674일반세탁업214145.415185439248.077132일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA>0<NA><NA><NA><NA>N
3367부천시19930902복음세탁소<NA>폐업폐업20030227<NA><NA><NA><NA>23.46경기도 부천시 역곡로482번길 163-3 (고강동)경기도 부천시 고강동 416-11번지1440937.524707126.824404일반세탁업184413.417825446965.891951일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
4659성남시20060503성원세탁소<NA>영업/정상영업<NA><NA><NA><NA>031 759 557220.96경기도 성남시 중원구 원터로38번길 16, 1층 (하대원동)경기도 성남시 중원구 하대원동 126-13번지 (1층)1338837.429719127.144991일반세탁업212766.163125436418.504308일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>임대<NA><NA><NA><NA><NA>N
3114부천시20070820디아뜨크리닝<NA>영업/정상영업<NA><NA><NA><NA>032 329 505436.86경기도 부천시 소향로 119 (중동,1161-1 디아뜨2차 A-104)경기도 부천시 중동 1161번지 1161-1 디아뜨2차 A-1041454637.502484126.761216일반세탁업178820.581466444509.509163일반세탁업001100000N0<NA><NA><NA><NA>3<NA><NA>10N
11516이천시20020816신일세탁소<NA>영업/정상영업<NA><NA><NA><NA>031 633 532733.00경기도 이천시 증신로291번길 147 (송정동,신일아파트상가 205)경기도 이천시 송정동 306-5번지 신일아파트상가 2051734437.295405127.43252일반세탁업238283.795313421588.779344일반세탁업302200000N0<NA><NA><NA><NA>2<NA><NA>00N
5953수원시20080403수자인세탁<NA>폐업폐업20200903<NA><NA><NA><NA>41.76경기도 수원시 권선구 칠보로 102, 상가2동 105호 (호매실동, 한양수자인파크원)경기도 수원시 권선구 호매실동 1361 한양수자인파크원 상가2 105호1640137.264047126.952507일반세탁업195600.486179418073.238716일반세탁업401000000N0<NA><NA><NA>임대1<NA><NA>10N
12448평택시20110920예쁜손운동화손세탁<NA>폐업폐업20190415<NA><NA><NA>031 655023388.03경기도 평택시 통복시장1로26번길 39 (통복동)경기도 평택시 통복동 78-12번지1789136.997998127.086778운동화전문세탁업207658.095938388496.576797운동화전문세탁업2011<NA><NA>000N0<NA><NA><NA><NA>1<NA><NA>00N
13429화성시20150918크린토피아코인워시 신동탄이지더원점<NA>폐업폐업20210830<NA><NA><NA><NA>41.32경기도 화성시 지산1길 25-10, 1층 (영천동)경기도 화성시 영천동 산 27-601846637.208263127.110866빨래방업209774.0411827.0빨래방업001000000N0<NA><NA><NA><NA>30030N
2729동두천시20180706런드리 위드 카페<NA>폐업폐업20180817<NA><NA><NA><NA>28.50경기도 동두천시 강변로296번길 46 (지행동)경기도 동두천시 지행동 666-1번지1134337.89711127.048006빨래방업204157.915479488284.495889빨래방업00<NA><NA><NA><NA>000N0<NA><NA><NA><NA>30030N
12433평택시19870603역전세탁소<NA>폐업폐업20030721<NA><NA><NA>662802417.42경기도 평택시 탄현로 59-1 (서정동)경기도 평택시 서정동 427-12번지1777937.057767127.053565일반세탁업204697.770645395128.774734일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N

Duplicate rows

Most frequently occurring

시군명인허가일자사업장명통합영업상태명영업상태명폐업일자소재지시설전화번호소재지면적소재지도로명주소소재지지번주소소재지우편번호위도경도업태구분명정보X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층수사용끝지상층수사용시작지하층수사용끝지하층수한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부# duplicates
0안산시19971206일광세탁소폐업폐업2000032185-8966.00경기도 안산시 단원구 화정로3길 7-8 (와동)경기도 안산시 단원구 와동 850번지1533137.331727126.822605일반세탁업184212.976704425548.20834일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N2