Overview

Dataset statistics

Number of variables40
Number of observations10000
Missing cells88904
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 MiB
Average record size in memory354.0 B

Variable types

Categorical15
Text8
Numeric11
Unsupported4
Boolean2

Alerts

위생업태명 is highly imbalanced (94.2%)Imbalance
사용시작지하층 is highly imbalanced (50.9%)Imbalance
사용끝지하층 is highly imbalanced (58.1%)Imbalance
발한실여부 is highly imbalanced (99.7%)Imbalance
조건부허가시작일자 is highly imbalanced (99.7%)Imbalance
건물소유구분명 is highly imbalanced (53.7%)Imbalance
여성종사자수 is highly imbalanced (64.3%)Imbalance
남성종사자수 is highly imbalanced (66.4%)Imbalance
침대수 is highly imbalanced (60.8%)Imbalance
다중이용업소여부 is highly imbalanced (99.4%)Imbalance
도로명주소 has 1128 (11.3%) missing valuesMissing
우편번호 has 397 (4.0%) missing valuesMissing
전화번호 has 3568 (35.7%) missing valuesMissing
WGS84위도 has 114 (1.1%) missing valuesMissing
WGS84경도 has 114 (1.1%) missing valuesMissing
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 2450 (24.5%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지면적 has 107 (1.1%) missing valuesMissing
X좌표값 has 722 (7.2%) missing valuesMissing
Y좌표값 has 722 (7.2%) missing valuesMissing
건물지상층수 has 3370 (33.7%) missing valuesMissing
건물지하층수 has 4067 (40.7%) missing valuesMissing
사용시작지상층 has 4492 (44.9%) missing valuesMissing
사용끝지상층 has 6078 (60.8%) missing valuesMissing
발한실여부 has 170 (1.7%) missing valuesMissing
의자수 has 1418 (14.2%) missing valuesMissing
조건부허가신고사유 has 9994 (99.9%) missing valuesMissing
조건부허가종료일자 has 9992 (99.9%) missing valuesMissing
사용끝지상층 is highly skewed (γ1 = 26.11125153)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 3979 (39.8%) zerosZeros
건물지하층수 has 4674 (46.7%) zerosZeros
사용시작지상층 has 2880 (28.8%) zerosZeros
사용끝지상층 has 1437 (14.4%) zerosZeros
의자수 has 1120 (11.2%) zerosZeros

Reproduction

Analysis started2023-12-10 22:26:32.845819
Analysis finished2023-12-10 22:26:35.633192
Duration2.79 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
1043 
부천시
1006 
안산시
817 
고양시
725 
성남시
706 
Other values (26)
5703 

Length

Max length4
Median length3
Mean length3.0775
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안성시
2nd row파주시
3rd row용인시
4th row수원시
5th row양평군

Common Values

ValueCountFrequency (%)
수원시 1043
 
10.4%
부천시 1006
 
10.1%
안산시 817
 
8.2%
고양시 725
 
7.2%
성남시 706
 
7.1%
안양시 682
 
6.8%
시흥시 485
 
4.9%
용인시 476
 
4.8%
평택시 471
 
4.7%
의정부시 401
 
4.0%
Other values (21) 3188
31.9%

Length

2023-12-11T07:26:35.704452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1043
 
10.4%
부천시 1006
 
10.1%
안산시 817
 
8.2%
고양시 725
 
7.2%
성남시 706
 
7.1%
안양시 682
 
6.8%
시흥시 485
 
4.9%
용인시 476
 
4.8%
평택시 471
 
4.7%
의정부시 401
 
4.0%
Other values (21) 3188
31.9%
Distinct6200
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:26:35.990206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length5
Mean length5.6112
Min length1

Characters and Unicode

Total characters56112
Distinct characters740
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4840 ?
Unique (%)48.4%

Sample

1st row신신이용원
2nd row원앙
3rd row쉼터이용원
4th row청솔이용원
5th row협동이용원
ValueCountFrequency (%)
이용원 240
 
2.2%
이발관 117
 
1.1%
태후사랑 67
 
0.6%
바버샵 57
 
0.5%
현대이발관 51
 
0.5%
현대이용원 51
 
0.5%
중앙이발관 40
 
0.4%
이발소 38
 
0.3%
우리이발관 38
 
0.3%
서울이발관 36
 
0.3%
Other values (6181) 10187
93.3%
2023-12-11T07:26:36.533019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8069
 
14.4%
3971
 
7.1%
3945
 
7.0%
3872
 
6.9%
3486
 
6.2%
927
 
1.7%
864
 
1.5%
847
 
1.5%
747
 
1.3%
721
 
1.3%
Other values (730) 28663
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53373
95.1%
Space Separator 927
 
1.7%
Lowercase Letter 580
 
1.0%
Uppercase Letter 555
 
1.0%
Decimal Number 230
 
0.4%
Open Punctuation 192
 
0.3%
Close Punctuation 192
 
0.3%
Other Punctuation 59
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8069
 
15.1%
3971
 
7.4%
3945
 
7.4%
3872
 
7.3%
3486
 
6.5%
864
 
1.6%
847
 
1.6%
747
 
1.4%
721
 
1.4%
639
 
1.2%
Other values (660) 26212
49.1%
Uppercase Letter
ValueCountFrequency (%)
B 72
13.0%
S 54
 
9.7%
R 49
 
8.8%
O 47
 
8.5%
A 41
 
7.4%
H 32
 
5.8%
E 32
 
5.8%
P 29
 
5.2%
M 25
 
4.5%
K 22
 
4.0%
Other values (16) 152
27.4%
Lowercase Letter
ValueCountFrequency (%)
r 83
14.3%
e 72
12.4%
o 56
9.7%
a 53
9.1%
s 42
 
7.2%
b 41
 
7.1%
h 40
 
6.9%
p 34
 
5.9%
l 23
 
4.0%
i 22
 
3.8%
Other values (14) 114
19.7%
Decimal Number
ValueCountFrequency (%)
2 69
30.0%
1 48
20.9%
8 27
 
11.7%
4 27
 
11.7%
0 21
 
9.1%
9 14
 
6.1%
7 9
 
3.9%
3 7
 
3.0%
5 7
 
3.0%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 34
57.6%
' 11
 
18.6%
& 9
 
15.3%
, 3
 
5.1%
! 1
 
1.7%
/ 1
 
1.7%
Space Separator
ValueCountFrequency (%)
927
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53368
95.1%
Common 1604
 
2.9%
Latin 1135
 
2.0%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8069
 
15.1%
3971
 
7.4%
3945
 
7.4%
3872
 
7.3%
3486
 
6.5%
864
 
1.6%
847
 
1.6%
747
 
1.4%
721
 
1.4%
639
 
1.2%
Other values (655) 26207
49.1%
Latin
ValueCountFrequency (%)
r 83
 
7.3%
B 72
 
6.3%
e 72
 
6.3%
o 56
 
4.9%
S 54
 
4.8%
a 53
 
4.7%
R 49
 
4.3%
O 47
 
4.1%
s 42
 
3.7%
b 41
 
3.6%
Other values (40) 566
49.9%
Common
ValueCountFrequency (%)
927
57.8%
( 192
 
12.0%
) 192
 
12.0%
2 69
 
4.3%
1 48
 
3.0%
. 34
 
2.1%
8 27
 
1.7%
4 27
 
1.7%
0 21
 
1.3%
9 14
 
0.9%
Other values (10) 53
 
3.3%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53368
95.1%
ASCII 2739
 
4.9%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8069
 
15.1%
3971
 
7.4%
3945
 
7.4%
3872
 
7.3%
3486
 
6.5%
864
 
1.6%
847
 
1.6%
747
 
1.4%
721
 
1.4%
639
 
1.2%
Other values (655) 26207
49.1%
ASCII
ValueCountFrequency (%)
927
33.8%
( 192
 
7.0%
) 192
 
7.0%
r 83
 
3.0%
B 72
 
2.6%
e 72
 
2.6%
2 69
 
2.5%
o 56
 
2.0%
S 54
 
2.0%
a 53
 
1.9%
Other values (60) 969
35.4%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

영업상태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
7550 
영업
2450 

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 7550
75.5%
영업 2450
 
24.5%

Length

2023-12-11T07:26:36.699042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:36.785593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 7550
75.5%
영업 2450
 
24.5%
Distinct6073
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:26:37.071870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0902
Min length6

Characters and Unicode

Total characters80902
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

Unique3923 ?
Unique (%)39.2%

Sample

1st row20030403
2nd row19870630
3rd row20061127
4th row19990628
5th row1976-06-30
ValueCountFrequency (%)
20030418 89
 
0.9%
20030411 64
 
0.6%
20030227 63
 
0.6%
20030403 61
 
0.6%
20030425 36
 
0.4%
20030516 33
 
0.3%
20030226 29
 
0.3%
20030428 26
 
0.3%
19980527 20
 
0.2%
19730727 15
 
0.1%
Other values (6063) 9564
95.6%
2023-12-11T07:26:37.551938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23407
28.9%
1 15003
18.5%
2 13617
16.8%
9 8963
 
11.1%
3 3991
 
4.9%
8 3621
 
4.5%
4 2999
 
3.7%
7 2946
 
3.6%
6 2725
 
3.4%
5 2714
 
3.4%
Other values (2) 916
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79986
98.9%
Dash Punctuation 910
 
1.1%
Space Separator 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23407
29.3%
1 15003
18.8%
2 13617
17.0%
9 8963
 
11.2%
3 3991
 
5.0%
8 3621
 
4.5%
4 2999
 
3.7%
7 2946
 
3.7%
6 2725
 
3.4%
5 2714
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 910
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23407
28.9%
1 15003
18.5%
2 13617
16.8%
9 8963
 
11.1%
3 3991
 
4.9%
8 3621
 
4.5%
4 2999
 
3.7%
7 2946
 
3.6%
6 2725
 
3.4%
5 2714
 
3.4%
Other values (2) 916
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23407
28.9%
1 15003
18.5%
2 13617
16.8%
9 8963
 
11.1%
3 3991
 
4.9%
8 3621
 
4.5%
4 2999
 
3.7%
7 2946
 
3.6%
6 2725
 
3.4%
5 2714
 
3.4%
Other values (2) 916
 
1.1%

도로명주소
Text

MISSING 

Distinct8189
Distinct (%)92.3%
Missing1128
Missing (%)11.3%
Memory size156.2 KiB
2023-12-11T07:26:37.916738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length58
Mean length29.738729
Min length13

Characters and Unicode

Total characters263842
Distinct characters604
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

Unique7631 ?
Unique (%)86.0%

Sample

1st row경기도 안성시 개내교1길 7 (신건지동)
2nd row경기도 용인시 처인구 백암면 백암로 191 2층 (백암리)
3rd row경기도 안성시 장기로 52 462-1 (인지동)
4th row경기도 수원시 장안구 창훈로66번길 11-3
5th row경기도 수원시 팔달구 팔달문로 89
ValueCountFrequency (%)
경기도 8872
 
15.7%
1층 1231
 
2.2%
수원시 944
 
1.7%
부천시 922
 
1.6%
안산시 730
 
1.3%
성남시 673
 
1.2%
고양시 648
 
1.2%
안양시 597
 
1.1%
용인시 428
 
0.8%
평택시 409
 
0.7%
Other values (8801) 40883
72.6%
2023-12-11T07:26:38.402543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47522
 
18.0%
1 10692
 
4.1%
9421
 
3.6%
9318
 
3.5%
9129
 
3.5%
9125
 
3.5%
9098
 
3.4%
8366
 
3.2%
) 8065
 
3.1%
( 8065
 
3.1%
Other values (594) 135041
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152932
58.0%
Space Separator 47522
 
18.0%
Decimal Number 40854
 
15.5%
Close Punctuation 8066
 
3.1%
Open Punctuation 8066
 
3.1%
Other Punctuation 4303
 
1.6%
Dash Punctuation 1693
 
0.6%
Uppercase Letter 354
 
0.1%
Lowercase Letter 35
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9421
 
6.2%
9318
 
6.1%
9129
 
6.0%
9125
 
6.0%
9098
 
5.9%
8366
 
5.5%
4409
 
2.9%
4064
 
2.7%
3386
 
2.2%
3216
 
2.1%
Other values (525) 83400
54.5%
Uppercase Letter
ValueCountFrequency (%)
B 166
46.9%
A 78
22.0%
S 12
 
3.4%
C 10
 
2.8%
L 9
 
2.5%
G 8
 
2.3%
P 7
 
2.0%
D 7
 
2.0%
K 7
 
2.0%
I 6
 
1.7%
Other values (14) 44
 
12.4%
Lowercase Letter
ValueCountFrequency (%)
l 7
20.0%
e 7
20.0%
a 5
14.3%
c 3
8.6%
o 2
 
5.7%
s 2
 
5.7%
y 1
 
2.9%
f 1
 
2.9%
u 1
 
2.9%
b 1
 
2.9%
Other values (5) 5
14.3%
Decimal Number
ValueCountFrequency (%)
1 10692
26.2%
2 6157
15.1%
3 4097
 
10.0%
0 3702
 
9.1%
4 3454
 
8.5%
5 3184
 
7.8%
6 2634
 
6.4%
7 2505
 
6.1%
8 2336
 
5.7%
9 2093
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 4220
98.1%
. 53
 
1.2%
* 14
 
0.3%
@ 10
 
0.2%
/ 3
 
0.1%
& 2
 
< 0.1%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 6
75.0%
+ 1
 
12.5%
1
 
12.5%
Letter Number
ValueCountFrequency (%)
4
50.0%
2
25.0%
2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 8065
> 99.9%
} 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 8065
> 99.9%
{ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
47522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1693
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152926
58.0%
Common 110513
41.9%
Latin 397
 
0.2%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9421
 
6.2%
9318
 
6.1%
9129
 
6.0%
9125
 
6.0%
9098
 
5.9%
8366
 
5.5%
4409
 
2.9%
4064
 
2.7%
3386
 
2.2%
3216
 
2.1%
Other values (523) 83394
54.5%
Latin
ValueCountFrequency (%)
B 166
41.8%
A 78
19.6%
S 12
 
3.0%
C 10
 
2.5%
L 9
 
2.3%
G 8
 
2.0%
l 7
 
1.8%
e 7
 
1.8%
P 7
 
1.8%
D 7
 
1.8%
Other values (32) 86
21.7%
Common
ValueCountFrequency (%)
47522
43.0%
1 10692
 
9.7%
) 8065
 
7.3%
( 8065
 
7.3%
2 6157
 
5.6%
, 4220
 
3.8%
3 4097
 
3.7%
0 3702
 
3.3%
4 3454
 
3.1%
5 3184
 
2.9%
Other values (17) 11355
 
10.3%
Han
ValueCountFrequency (%)
5
83.3%
1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152926
58.0%
ASCII 110901
42.0%
Number Forms 8
 
< 0.1%
CJK 6
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47522
42.9%
1 10692
 
9.6%
) 8065
 
7.3%
( 8065
 
7.3%
2 6157
 
5.6%
, 4220
 
3.8%
3 4097
 
3.7%
0 3702
 
3.3%
4 3454
 
3.1%
5 3184
 
2.9%
Other values (55) 11743
 
10.6%
Hangul
ValueCountFrequency (%)
9421
 
6.2%
9318
 
6.1%
9129
 
6.0%
9125
 
6.0%
9098
 
5.9%
8366
 
5.5%
4409
 
2.9%
4064
 
2.7%
3386
 
2.2%
3216
 
2.1%
Other values (523) 83394
54.5%
CJK
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Number Forms
ValueCountFrequency (%)
4
50.0%
2
25.0%
2
25.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct9263
Distinct (%)92.6%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:26:38.737491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length58
Mean length25.385939
Min length14

Characters and Unicode

Total characters253834
Distinct characters570
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8651 ?
Unique (%)86.5%

Sample

1st row경기도 안성시 신건지동 3-14번지
2nd row경기도 파주시 문산읍 문산리 10-0번지
3rd row경기도 용인시 처인구 백암면 백암리 470-5번지 2층
4th row경기도 수원시 팔달구 화서동 184-36
5th row경기도 양평군 용문면 다문리 716-9
ValueCountFrequency (%)
경기도 9999
 
18.4%
수원시 1043
 
1.9%
부천시 1006
 
1.9%
1층 890
 
1.6%
안산시 817
 
1.5%
고양시 725
 
1.3%
성남시 706
 
1.3%
안양시 683
 
1.3%
시흥시 485
 
0.9%
용인시 476
 
0.9%
Other values (10984) 37384
69.0%
2023-12-11T07:26:39.218553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47323
 
18.6%
1 11458
 
4.5%
10389
 
4.1%
10223
 
4.0%
10183
 
4.0%
10179
 
4.0%
10063
 
4.0%
9030
 
3.6%
- 7837
 
3.1%
7140
 
2.8%
Other values (560) 120009
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146253
57.6%
Decimal Number 50043
 
19.7%
Space Separator 47323
 
18.6%
Dash Punctuation 7837
 
3.1%
Open Punctuation 692
 
0.3%
Close Punctuation 692
 
0.3%
Other Punctuation 567
 
0.2%
Uppercase Letter 386
 
0.2%
Lowercase Letter 25
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10389
 
7.1%
10223
 
7.0%
10183
 
7.0%
10179
 
7.0%
10063
 
6.9%
9030
 
6.2%
7140
 
4.9%
4794
 
3.3%
3084
 
2.1%
2887
 
2.0%
Other values (495) 68281
46.7%
Uppercase Letter
ValueCountFrequency (%)
B 172
44.6%
A 92
23.8%
L 15
 
3.9%
S 13
 
3.4%
T 11
 
2.8%
P 10
 
2.6%
D 8
 
2.1%
C 8
 
2.1%
I 7
 
1.8%
K 7
 
1.8%
Other values (14) 43
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
24.0%
a 6
24.0%
p 3
12.0%
l 3
12.0%
n 1
 
4.0%
h 1
 
4.0%
g 1
 
4.0%
i 1
 
4.0%
b 1
 
4.0%
t 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 11458
22.9%
2 6599
13.2%
3 4929
9.8%
0 4553
 
9.1%
4 4542
 
9.1%
5 4132
 
8.3%
7 3757
 
7.5%
6 3710
 
7.4%
8 3351
 
6.7%
9 3012
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 428
75.5%
. 78
 
13.8%
@ 38
 
6.7%
* 14
 
2.5%
/ 6
 
1.1%
: 2
 
0.4%
& 1
 
0.2%
Letter Number
ValueCountFrequency (%)
3
50.0%
2
33.3%
1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 691
99.9%
{ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 691
99.9%
} 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
47323
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7837
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146248
57.6%
Common 107164
42.2%
Latin 417
 
0.2%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10389
 
7.1%
10223
 
7.0%
10183
 
7.0%
10179
 
7.0%
10063
 
6.9%
9030
 
6.2%
7140
 
4.9%
4794
 
3.3%
3084
 
2.1%
2887
 
2.0%
Other values (494) 68276
46.7%
Latin
ValueCountFrequency (%)
B 172
41.2%
A 92
22.1%
L 15
 
3.6%
S 13
 
3.1%
T 11
 
2.6%
P 10
 
2.4%
D 8
 
1.9%
C 8
 
1.9%
I 7
 
1.7%
K 7
 
1.7%
Other values (28) 74
17.7%
Common
ValueCountFrequency (%)
47323
44.2%
1 11458
 
10.7%
- 7837
 
7.3%
2 6599
 
6.2%
3 4929
 
4.6%
0 4553
 
4.2%
4 4542
 
4.2%
5 4132
 
3.9%
7 3757
 
3.5%
6 3710
 
3.5%
Other values (17) 8324
 
7.8%
Han
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146247
57.6%
ASCII 107573
42.4%
Number Forms 6
 
< 0.1%
CJK 5
 
< 0.1%
CJK Compat 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47323
44.0%
1 11458
 
10.7%
- 7837
 
7.3%
2 6599
 
6.1%
3 4929
 
4.6%
0 4553
 
4.2%
4 4542
 
4.2%
5 4132
 
3.8%
7 3757
 
3.5%
6 3710
 
3.4%
Other values (51) 8733
 
8.1%
Hangul
ValueCountFrequency (%)
10389
 
7.1%
10223
 
7.0%
10183
 
7.0%
10179
 
7.0%
10063
 
6.9%
9030
 
6.2%
7140
 
4.9%
4794
 
3.3%
3084
 
2.1%
2887
 
2.0%
Other values (493) 68275
46.7%
CJK
ValueCountFrequency (%)
5
100.0%
Number Forms
ValueCountFrequency (%)
3
50.0%
2
33.3%
1
 
16.7%
CJK Compat
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct2894
Distinct (%)30.1%
Missing397
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean14343.134
Minimum10011
Maximum18634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:39.359694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10387
Q112412.5
median14566
Q316312
95-th percentile17983
Maximum18634
Range8623
Interquartile range (IQR)3899.5

Descriptive statistics

Standard deviation2361.1286
Coefficient of variation (CV)0.16461735
Kurtosis-0.99935729
Mean14343.134
Median Absolute Deviation (MAD)1895
Skewness-0.13539707
Sum1.3773711 × 108
Variance5574928.3
MonotonicityNot monotonic
2023-12-11T07:26:39.488892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14072 40
 
0.4%
14948 35
 
0.4%
15052 34
 
0.3%
18136 34
 
0.3%
13951 29
 
0.3%
15361 28
 
0.3%
16489 25
 
0.2%
15538 25
 
0.2%
15036 24
 
0.2%
14103 23
 
0.2%
Other values (2884) 9306
93.1%
(Missing) 397
 
4.0%
ValueCountFrequency (%)
10011 5
 
0.1%
10012 2
 
< 0.1%
10016 1
 
< 0.1%
10017 1
 
< 0.1%
10018 14
0.1%
10019 2
 
< 0.1%
10020 1
 
< 0.1%
10021 2
 
< 0.1%
10023 1
 
< 0.1%
10024 2
 
< 0.1%
ValueCountFrequency (%)
18634 1
 
< 0.1%
18631 2
< 0.1%
18628 2
< 0.1%
18614 1
 
< 0.1%
18611 1
 
< 0.1%
18606 1
 
< 0.1%
18603 1
 
< 0.1%
18602 1
 
< 0.1%
18600 1
 
< 0.1%
18598 3
< 0.1%

전화번호
Text

MISSING 

Distinct5968
Distinct (%)92.8%
Missing3568
Missing (%)35.7%
Memory size156.2 KiB
2023-12-11T07:26:39.795964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.197917
Min length1

Characters and Unicode

Total characters65593
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

Unique5620 ?
Unique (%)87.4%

Sample

1st row031 6756769
2nd row9529719
3rd row031 7733865
4th row031 3966443
5th row031 9222010
ValueCountFrequency (%)
031 4359
36.0%
032 263
 
2.2%
02 99
 
0.8%
070 26
 
0.2%
636 10
 
0.1%
632 10
 
0.1%
635 9
 
0.1%
0031 8
 
0.1%
031666 7
 
0.1%
387 7
 
0.1%
Other values (6301) 7317
60.4%
2023-12-11T07:26:40.257608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 9742
14.9%
1 8576
13.1%
0 8442
12.9%
5769
8.8%
2 5377
8.2%
4 5022
7.7%
6 4882
7.4%
5 4619
7.0%
7 4499
6.9%
8 4467
6.8%
Other values (3) 4198
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59573
90.8%
Space Separator 5769
 
8.8%
Dash Punctuation 249
 
0.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9742
16.4%
1 8576
14.4%
0 8442
14.2%
2 5377
9.0%
4 5022
8.4%
6 4882
8.2%
5 4619
7.8%
7 4499
7.6%
8 4467
7.5%
9 3947
6.6%
Space Separator
ValueCountFrequency (%)
5769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 65593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 9742
14.9%
1 8576
13.1%
0 8442
12.9%
5769
8.8%
2 5377
8.2%
4 5022
7.7%
6 4882
7.4%
5 4619
7.0%
7 4499
6.9%
8 4467
6.8%
Other values (3) 4198
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 9742
14.9%
1 8576
13.1%
0 8442
12.9%
5769
8.8%
2 5377
8.2%
4 5022
7.7%
6 4882
7.4%
5 4619
7.0%
7 4499
6.9%
8 4467
6.8%
Other values (3) 4198
6.4%

WGS84위도
Real number (ℝ)

MISSING 

Distinct7974
Distinct (%)80.7%
Missing114
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean37.434667
Minimum36.942833
Maximum38.212795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:40.418944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.942833
5-th percentile37.07519
Q137.295442
median37.401372
Q337.594807
95-th percentile37.819701
Maximum38.212795
Range1.2699622
Interquartile range (IQR)0.29936452

Descriptive statistics

Standard deviation0.21374086
Coefficient of variation (CV)0.0057097036
Kurtosis0.061042012
Mean37.434667
Median Absolute Deviation (MAD)0.11841259
Skewness0.33265492
Sum370079.12
Variance0.045685153
MonotonicityNot monotonic
2023-12-11T07:26:40.568596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.327696 9
 
0.1%
37.3903039 8
 
0.1%
37.44016 8
 
0.1%
37.3172854 7
 
0.1%
37.7621769 7
 
0.1%
37.7542061 6
 
0.1%
37.2000888146 6
 
0.1%
37.2797633 6
 
0.1%
37.3699706 6
 
0.1%
37.3913845 6
 
0.1%
Other values (7964) 9817
98.2%
(Missing) 114
 
1.1%
ValueCountFrequency (%)
36.9428332 1
< 0.1%
36.9438405 1
< 0.1%
36.9458015 1
< 0.1%
36.9466915 1
< 0.1%
36.9496667 1
< 0.1%
36.9517755 1
< 0.1%
36.9530566 1
< 0.1%
36.9540536 1
< 0.1%
36.954189 1
< 0.1%
36.9565773 2
< 0.1%
ValueCountFrequency (%)
38.2127954 1
< 0.1%
38.1953488 1
< 0.1%
38.1867296554 1
< 0.1%
38.1848597729 1
< 0.1%
38.1594427 1
< 0.1%
38.1581354 1
< 0.1%
38.1574653245 1
< 0.1%
38.1342415 1
< 0.1%
38.1332921128 1
< 0.1%
38.1332149 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct7979
Distinct (%)80.7%
Missing114
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean126.98687
Minimum126.53764
Maximum127.7546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:40.695108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53764
5-th percentile126.75241
Q1126.81571
median126.97798
Q3127.10657
95-th percentile127.32389
Maximum127.7546
Range1.2169619
Interquartile range (IQR)0.29086663

Descriptive statistics

Standard deviation0.19203711
Coefficient of variation (CV)0.0015122596
Kurtosis0.8593975
Mean126.98687
Median Absolute Deviation (MAD)0.14512162
Skewness0.80704864
Sum1255392.2
Variance0.036878253
MonotonicityNot monotonic
2023-12-11T07:26:40.830887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6942604 9
 
0.1%
126.95498 8
 
0.1%
126.7829994 8
 
0.1%
126.7730957 7
 
0.1%
126.8422691 7
 
0.1%
127.0720094292 6
 
0.1%
127.038340772 6
 
0.1%
127.138793 6
 
0.1%
126.7594971 6
 
0.1%
126.8634878 6
 
0.1%
Other values (7969) 9817
98.2%
(Missing) 114
 
1.1%
ValueCountFrequency (%)
126.5376365181 1
< 0.1%
126.5510544441 2
< 0.1%
126.5518436 1
< 0.1%
126.5519818 2
< 0.1%
126.5541395462 1
< 0.1%
126.5544769065 1
< 0.1%
126.5603148 1
< 0.1%
126.5604556 1
< 0.1%
126.561207 1
< 0.1%
126.5655170392 1
< 0.1%
ValueCountFrequency (%)
127.7545984 1
< 0.1%
127.7533956 1
< 0.1%
127.7529592 1
< 0.1%
127.7282963 1
< 0.1%
127.7095709 1
< 0.1%
127.7088138 1
< 0.1%
127.6867723 1
< 0.1%
127.6851035644 2
< 0.1%
127.6738529 1
< 0.1%
127.673621 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

폐업일자
Text

MISSING 

Distinct3972
Distinct (%)52.6%
Missing2450
Missing (%)24.5%
Memory size156.2 KiB
2023-12-11T07:26:41.080143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0396026
Min length4

Characters and Unicode

Total characters60699
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

Unique2198 ?
Unique (%)29.1%

Sample

1st row20190228
2nd row20090715
3rd row20100415
4th row2023-04-21
5th row20040805
ValueCountFrequency (%)
20030227 101
 
1.3%
20030312 45
 
0.6%
20031020 38
 
0.5%
20030731 31
 
0.4%
20030306 28
 
0.4%
20020129 26
 
0.3%
20070509 25
 
0.3%
20030602 24
 
0.3%
20060809 23
 
0.3%
20050404 21
 
0.3%
Other values (3962) 7188
95.2%
2023-12-11T07:26:41.440094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21214
34.9%
2 13375
22.0%
1 9775
16.1%
3 3142
 
5.2%
9 2567
 
4.2%
4 2200
 
3.6%
5 2145
 
3.5%
6 2127
 
3.5%
7 1982
 
3.3%
8 1863
 
3.1%
Other values (2) 309
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60390
99.5%
Dash Punctuation 308
 
0.5%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21214
35.1%
2 13375
22.1%
1 9775
16.2%
3 3142
 
5.2%
9 2567
 
4.3%
4 2200
 
3.6%
5 2145
 
3.6%
6 2127
 
3.5%
7 1982
 
3.3%
8 1863
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60699
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21214
34.9%
2 13375
22.0%
1 9775
16.1%
3 3142
 
5.2%
9 2567
 
4.2%
4 2200
 
3.6%
5 2145
 
3.5%
6 2127
 
3.5%
7 1982
 
3.3%
8 1863
 
3.1%
Other values (2) 309
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21214
34.9%
2 13375
22.0%
1 9775
16.1%
3 3142
 
5.2%
9 2567
 
4.2%
4 2200
 
3.6%
5 2145
 
3.5%
6 2127
 
3.5%
7 1982
 
3.3%
8 1863
 
3.1%
Other values (2) 309
 
0.5%

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

소재지면적
Text

MISSING 

Distinct3057
Distinct (%)30.9%
Missing107
Missing (%)1.1%
Memory size156.2 KiB
2023-12-11T07:26:41.761883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.6222582
Min length3

Characters and Unicode

Total characters45728
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

Unique1845 ?
Unique (%)18.6%

Sample

1st row33.00
2nd row14.00
3rd row154.11
4th row20.89
5th row15.20
ValueCountFrequency (%)
00 1643
 
16.6%
1.00 164
 
1.7%
10.00 136
 
1.4%
33.00 133
 
1.3%
16.50 95
 
1.0%
12.00 81
 
0.8%
6.60 73
 
0.7%
15.00 69
 
0.7%
30.00 67
 
0.7%
13.20 65
 
0.7%
Other values (3047) 7367
74.5%
2023-12-11T07:26:42.204292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10867
23.8%
. 9893
21.6%
1 4612
10.1%
2 4270
 
9.3%
3 2894
 
6.3%
5 2590
 
5.7%
6 2497
 
5.5%
4 2406
 
5.3%
8 2143
 
4.7%
9 1887
 
4.1%
Other values (2) 1669
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35829
78.4%
Other Punctuation 9899
 
21.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10867
30.3%
1 4612
12.9%
2 4270
 
11.9%
3 2894
 
8.1%
5 2590
 
7.2%
6 2497
 
7.0%
4 2406
 
6.7%
8 2143
 
6.0%
9 1887
 
5.3%
7 1663
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 9893
99.9%
, 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 45728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10867
23.8%
. 9893
21.6%
1 4612
10.1%
2 4270
 
9.3%
3 2894
 
6.3%
5 2590
 
5.7%
6 2497
 
5.5%
4 2406
 
5.3%
8 2143
 
4.7%
9 1887
 
4.1%
Other values (2) 1669
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10867
23.8%
. 9893
21.6%
1 4612
10.1%
2 4270
 
9.3%
3 2894
 
6.3%
5 2590
 
5.7%
6 2497
 
5.5%
4 2406
 
5.3%
8 2143
 
4.7%
9 1887
 
4.1%
Other values (2) 1669
 
3.6%

X좌표값
Real number (ℝ)

MISSING 

Distinct7153
Distinct (%)77.1%
Missing722
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean198692.55
Minimum159180.13
Maximum266733.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:42.341442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159180.13
5-th percentile178080.24
Q1183678.94
median198166.83
Q3209289.42
95-th percentile227567.47
Maximum266733.41
Range107553.28
Interquartile range (IQR)25610.479

Descriptive statistics

Standard deviation16786.443
Coefficient of variation (CV)0.08448451
Kurtosis0.89772893
Mean198692.55
Median Absolute Deviation (MAD)12805.848
Skewness0.80288337
Sum1.8434695 × 109
Variance2.8178466 × 108
MonotonicityNot monotonic
2023-12-11T07:26:42.463476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180730.722437076 8
 
0.1%
195947.84626811 8
 
0.1%
185951.938343727 7
 
0.1%
195810.048374349 7
 
0.1%
179941.424937517 7
 
0.1%
186925.564452438 7
 
0.1%
176353.801746471 7
 
0.1%
206320.850464476 6
 
0.1%
181714.901621117 6
 
0.1%
197015.31502601 6
 
0.1%
Other values (7143) 9209
92.1%
(Missing) 722
 
7.2%
ValueCountFrequency (%)
159180.129229934 1
 
< 0.1%
160378.976614252 3
< 0.1%
160392.309536583 1
 
< 0.1%
160618.598966681 1
 
< 0.1%
161160.740866312 2
< 0.1%
161171.412535154 1
 
< 0.1%
161240.75631249 1
 
< 0.1%
161618.799494797 1
 
< 0.1%
161917.519793858 1
 
< 0.1%
162576.566449485 1
 
< 0.1%
ValueCountFrequency (%)
266733.407897847 1
< 0.1%
266627.30299657 1
< 0.1%
266587.349513246 1
< 0.1%
264532.546815963 1
< 0.1%
262634.99747484 1
< 0.1%
262577.188766855 1
< 0.1%
260813.469532101 1
< 0.1%
260637.803459489 2
< 0.1%
259490.355493884 1
< 0.1%
259469.091276057 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct7153
Distinct (%)77.1%
Missing722
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean436664.22
Minimum382416.35
Maximum560834.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:42.655257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum382416.35
5-th percentile397280.71
Q1421426.87
median433074.76
Q3453029.91
95-th percentile479264.34
Maximum560834.91
Range178418.55
Interquartile range (IQR)31603.036

Descriptive statistics

Standard deviation23473.363
Coefficient of variation (CV)0.053756094
Kurtosis0.18686641
Mean436664.22
Median Absolute Deviation (MAD)12945.485
Skewness0.35723242
Sum4.0513707 × 109
Variance5.5099877 × 108
MonotonicityNot monotonic
2023-12-11T07:26:42.795853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437589.567378148 8
 
0.1%
432032.643605683 8
 
0.1%
473330.387520199 7
 
0.1%
432154.019214169 7
 
0.1%
423939.412851421 7
 
0.1%
427148.72431247 7
 
0.1%
419773.994501807 7
 
0.1%
421996.136703261 6
 
0.1%
471038.890188745 6
 
0.1%
422951.507274387 6
 
0.1%
Other values (7143) 9209
92.1%
(Missing) 722
 
7.2%
ValueCountFrequency (%)
382416.354238093 1
< 0.1%
382513.368265218 1
< 0.1%
382799.548510624 1
< 0.1%
383130.51222965 1
< 0.1%
383533.805758803 1
< 0.1%
383633.464517037 2
< 0.1%
383898.714620144 2
< 0.1%
384135.242500725 1
< 0.1%
384141.650276688 1
< 0.1%
384142.49565357 1
< 0.1%
ValueCountFrequency (%)
560834.907896845 1
< 0.1%
523334.291844218 1
< 0.1%
521396.398574767 1
< 0.1%
520423.423046316 1
< 0.1%
520222.674526876 1
< 0.1%
517429.459807505 1
< 0.1%
517285.042632869 1
< 0.1%
517212.623420392 1
< 0.1%
514608.221195102 1
< 0.1%
514492.92875927 2
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반이용업
9933 
이용업 기타
 
67

Length

Max length6
Median length5
Mean length5.0067
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 9933
99.3%
이용업 기타 67
 
0.7%

Length

2023-12-11T07:26:42.940536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:43.256365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 9933
98.7%
이용업 67
 
0.7%
기타 67
 
0.7%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)0.3%
Missing3370
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean1.2387632
Minimum0
Maximum37
Zeros3979
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:43.340394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum37
Range37
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1372092
Coefficient of variation (CV)1.7252766
Kurtosis20.975237
Mean1.2387632
Median Absolute Deviation (MAD)0
Skewness3.1457473
Sum8213
Variance4.567663
MonotonicityNot monotonic
2023-12-11T07:26:43.445996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3979
39.8%
1 707
 
7.1%
3 576
 
5.8%
2 531
 
5.3%
4 363
 
3.6%
5 210
 
2.1%
6 92
 
0.9%
7 43
 
0.4%
8 37
 
0.4%
10 27
 
0.3%
Other values (11) 65
 
0.7%
(Missing) 3370
33.7%
ValueCountFrequency (%)
0 3979
39.8%
1 707
 
7.1%
2 531
 
5.3%
3 576
 
5.8%
4 363
 
3.6%
5 210
 
2.1%
6 92
 
0.9%
7 43
 
0.4%
8 37
 
0.4%
9 23
 
0.2%
ValueCountFrequency (%)
37 1
 
< 0.1%
22 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
 
< 0.1%
15 8
0.1%
14 4
 
< 0.1%
13 6
0.1%
12 6
0.1%
11 12
0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.1%
Missing4067
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean0.28804989
Minimum0
Maximum7
Zeros4674
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:43.561922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68269264
Coefficient of variation (CV)2.37005
Kurtosis18.837057
Mean0.28804989
Median Absolute Deviation (MAD)0
Skewness3.6633419
Sum1709
Variance0.46606924
MonotonicityNot monotonic
2023-12-11T07:26:43.690874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4674
46.7%
1 1001
 
10.0%
2 154
 
1.5%
3 47
 
0.5%
4 37
 
0.4%
5 11
 
0.1%
6 7
 
0.1%
7 2
 
< 0.1%
(Missing) 4067
40.7%
ValueCountFrequency (%)
0 4674
46.7%
1 1001
 
10.0%
2 154
 
1.5%
3 47
 
0.5%
4 37
 
0.4%
5 11
 
0.1%
6 7
 
0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 7
 
0.1%
5 11
 
0.1%
4 37
 
0.4%
3 47
 
0.5%
2 154
 
1.5%
1 1001
 
10.0%
0 4674
46.7%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.2%
Missing4492
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean0.8362382
Minimum0
Maximum12
Zeros2880
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:43.839223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3549529
Coefficient of variation (CV)1.6202954
Kurtosis12.289569
Mean0.8362382
Median Absolute Deviation (MAD)0
Skewness3.0387952
Sum4606
Variance1.8358974
MonotonicityNot monotonic
2023-12-11T07:26:43.999999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2880
28.8%
1 1721
 
17.2%
2 512
 
5.1%
3 155
 
1.6%
5 76
 
0.8%
4 56
 
0.6%
6 36
 
0.4%
7 34
 
0.3%
8 15
 
0.1%
9 15
 
0.1%
Other values (3) 8
 
0.1%
(Missing) 4492
44.9%
ValueCountFrequency (%)
0 2880
28.8%
1 1721
17.2%
2 512
 
5.1%
3 155
 
1.6%
4 56
 
0.6%
5 76
 
0.8%
6 36
 
0.4%
7 34
 
0.3%
8 15
 
0.1%
9 15
 
0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
10 6
 
0.1%
9 15
 
0.1%
8 15
 
0.1%
7 34
 
0.3%
6 36
 
0.4%
5 76
0.8%
4 56
 
0.6%
3 155
1.6%

사용끝지상층
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.4%
Missing6078
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean1.1351351
Minimum0
Maximum101
Zeros1437
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:44.133443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum101
Range101
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1575522
Coefficient of variation (CV)1.9007007
Kurtosis1171.9612
Mean1.1351351
Median Absolute Deviation (MAD)1
Skewness26.111252
Sum4452
Variance4.6550315
MonotonicityNot monotonic
2023-12-11T07:26:44.245354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 1618
 
16.2%
0 1437
 
14.4%
2 492
 
4.9%
3 152
 
1.5%
5 66
 
0.7%
4 53
 
0.5%
6 35
 
0.4%
7 33
 
0.3%
9 15
 
0.1%
8 14
 
0.1%
Other values (4) 7
 
0.1%
(Missing) 6078
60.8%
ValueCountFrequency (%)
0 1437
14.4%
1 1618
16.2%
2 492
 
4.9%
3 152
 
1.5%
4 53
 
0.5%
5 66
 
0.7%
6 35
 
0.4%
7 33
 
0.3%
8 14
 
0.1%
9 15
 
0.1%
ValueCountFrequency (%)
101 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 4
 
< 0.1%
9 15
 
0.1%
8 14
 
0.1%
7 33
0.3%
6 35
0.4%
5 66
0.7%
4 53
0.5%

사용시작지하층
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5553 
0
3851 
1
 
548
2
 
44
3
 
3

Length

Max length4
Median length4
Mean length2.6659
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5553
55.5%
0 3851
38.5%
1 548
 
5.5%
2 44
 
0.4%
3 3
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T07:26:44.365055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:44.473806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5553
55.5%
0 3851
38.5%
1 548
 
5.5%
2 44
 
0.4%
3 3
 
< 0.1%
6 1
 
< 0.1%

사용끝지하층
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7248 
0
2158 
1
 
548
2
 
41
3
 
4

Length

Max length4
Median length4
Mean length3.1744
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7248
72.5%
0 2158
 
21.6%
1 548
 
5.5%
2 41
 
0.4%
3 4
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T07:26:44.598648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:44.718740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7248
72.5%
0 2158
 
21.6%
1 548
 
5.5%
2 41
 
0.4%
3 4
 
< 0.1%
6 1
 
< 0.1%

한실수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5258 
<NA>
4742 

Length

Max length4
Median length1
Mean length2.4226
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 5258
52.6%
<NA> 4742
47.4%

Length

2023-12-11T07:26:44.857572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:44.981128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5258
52.6%
na 4742
47.4%

양실수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5258 
<NA>
4741 
48
 
1

Length

Max length4
Median length1
Mean length2.4224
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5258
52.6%
<NA> 4741
47.4%
48 1
 
< 0.1%

Length

2023-12-11T07:26:45.103317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:45.232684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5258
52.6%
na 4741
47.4%
48 1
 
< 0.1%

욕실수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
5258 
<NA>
4738 
2
 
3
4
 
1

Length

Max length4
Median length1
Mean length2.4214
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 5258
52.6%
<NA> 4738
47.4%
2 3
 
< 0.1%
4 1
 
< 0.1%

Length

2023-12-11T07:26:45.427751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:45.535032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5258
52.6%
na 4738
47.4%
2 3
 
< 0.1%
4 1
 
< 0.1%

발한실여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing170
Missing (%)1.7%
Memory size97.7 KiB
False
9828 
True
 
2
(Missing)
 
170
ValueCountFrequency (%)
False 9828
98.3%
True 2
 
< 0.1%
(Missing) 170
 
1.7%
2023-12-11T07:26:45.633054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)0.2%
Missing1418
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean3.1714053
Minimum0
Maximum32
Zeros1120
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:45.758111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile8
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3874468
Coefficient of variation (CV)0.75280409
Kurtosis6.9341644
Mean3.1714053
Median Absolute Deviation (MAD)1
Skewness1.6753031
Sum27217
Variance5.6999024
MonotonicityNot monotonic
2023-12-11T07:26:45.918124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 2637
26.4%
2 2046
20.5%
0 1120
11.2%
4 1088
10.9%
5 330
 
3.3%
1 261
 
2.6%
7 243
 
2.4%
6 229
 
2.3%
8 212
 
2.1%
9 198
 
2.0%
Other values (10) 218
 
2.2%
(Missing) 1418
14.2%
ValueCountFrequency (%)
0 1120
11.2%
1 261
 
2.6%
2 2046
20.5%
3 2637
26.4%
4 1088
10.9%
5 330
 
3.3%
6 229
 
2.3%
7 243
 
2.4%
8 212
 
2.1%
9 198
 
2.0%
ValueCountFrequency (%)
32 1
 
< 0.1%
31 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
15 4
 
< 0.1%
14 4
 
< 0.1%
13 8
 
0.1%
12 26
 
0.3%
11 45
 
0.4%
10 127
1.3%
Distinct6
Distinct (%)100.0%
Missing9994
Missing (%)99.9%
Memory size156.2 KiB
2023-12-11T07:26:46.126517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length25.5
Mean length24.166667
Min length8

Characters and Unicode

Total characters145
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row외국국적동포 국내거소신고증 체류기간
2nd row공유재산 사용허가 총 계약기간:2020.10.05.~2023.10.04
3rd row영주증 유효기간
4th row공중위생법시행규칙 시행시 시설기준에 적합하게 시설을 개선 하실것
5th row6개월 이내에 위생교육
ValueCountFrequency (%)
외국국적동포 1
 
3.8%
국내거소신고증 1
 
3.8%
6개월이내 1
 
3.8%
의거 1
 
3.8%
규정에 1
 
3.8%
제2항의 1
 
3.8%
제17조 1
 
3.8%
공중위생법 1
 
3.8%
위생교육 1
 
3.8%
이내에 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T07:26:46.550098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
13.8%
0 7
 
4.8%
2 5
 
3.4%
5
 
3.4%
. 5
 
3.4%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (60) 87
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
66.9%
Decimal Number 21
 
14.5%
Space Separator 20
 
13.8%
Other Punctuation 6
 
4.1%
Math Symbol 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
5.2%
4
 
4.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
Other values (48) 64
66.0%
Decimal Number
ValueCountFrequency (%)
0 7
33.3%
2 5
23.8%
1 3
14.3%
6 2
 
9.5%
7 1
 
4.8%
4 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
: 1
 
16.7%
Space Separator
ValueCountFrequency (%)
20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
66.9%
Common 48
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
5.2%
4
 
4.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
Other values (48) 64
66.0%
Common
ValueCountFrequency (%)
20
41.7%
0 7
 
14.6%
2 5
 
10.4%
. 5
 
10.4%
1 3
 
6.2%
6 2
 
4.2%
7 1
 
2.1%
4 1
 
2.1%
: 1
 
2.1%
5 1
 
2.1%
Other values (2) 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
66.9%
ASCII 48
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
41.7%
0 7
 
14.6%
2 5
 
10.4%
. 5
 
10.4%
1 3
 
6.2%
6 2
 
4.2%
7 1
 
2.1%
4 1
 
2.1%
: 1
 
2.1%
5 1
 
2.1%
Other values (2) 2
 
4.2%
Hangul
ValueCountFrequency (%)
5
 
5.2%
4
 
4.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
3
 
3.1%
Other values (48) 64
66.0%

조건부허가시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9995 
20210106
 
1
20191005
 
1
20190812
 
1
20070411
 
1

Length

Max length8
Median length4
Mean length4.002
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9995
> 99.9%
20210106 1
 
< 0.1%
20191005 1
 
< 0.1%
20190812 1
 
< 0.1%
20070411 1
 
< 0.1%
20050620 1
 
< 0.1%

Length

2023-12-11T07:26:46.703577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:46.870191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9995
> 99.9%
20210106 1
 
< 0.1%
20191005 1
 
< 0.1%
20190812 1
 
< 0.1%
20070411 1
 
< 0.1%
20050620 1
 
< 0.1%

조건부허가종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing9992
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20131979
Minimum20050404
Maximum20281022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:26:47.006481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050404
5-th percentile20050690
Q120058051
median20070715
Q320233358
95-th percentile20266812
Maximum20281022
Range230618
Interquartile range (IQR)175307.5

Descriptive statistics

Standard deviation99711.544
Coefficient of variation (CV)0.0049528934
Kurtosis-1.8850348
Mean20131979
Median Absolute Deviation (MAD)19903
Skewness0.70318497
Sum1.6105583 × 108
Variance9.942392 × 109
MonotonicityNot monotonic
2023-12-11T07:26:47.139849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20240422 1
 
< 0.1%
20231004 1
 
< 0.1%
20070419 1
 
< 0.1%
20281022 1
 
< 0.1%
20060328 1
 
< 0.1%
20071011 1
 
< 0.1%
20051220 1
 
< 0.1%
20050404 1
 
< 0.1%
(Missing) 9992
99.9%
ValueCountFrequency (%)
20050404 1
< 0.1%
20051220 1
< 0.1%
20060328 1
< 0.1%
20070419 1
< 0.1%
20071011 1
< 0.1%
20231004 1
< 0.1%
20240422 1
< 0.1%
20281022 1
< 0.1%
ValueCountFrequency (%)
20281022 1
< 0.1%
20240422 1
< 0.1%
20231004 1
< 0.1%
20071011 1
< 0.1%
20070419 1
< 0.1%
20060328 1
< 0.1%
20051220 1
< 0.1%
20050404 1
< 0.1%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8199 
임대
1707 
자가
 
94

Length

Max length4
Median length4
Mean length3.6398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8199
82.0%
임대 1707
 
17.1%
자가 94
 
0.9%

Length

2023-12-11T07:26:47.307501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:47.434160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8199
82.0%
임대 1707
 
17.1%
자가 94
 
0.9%

세탁기수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6496 
0
3504 

Length

Max length4
Median length4
Mean length2.9488
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6496
65.0%
0 3504
35.0%

Length

2023-12-11T07:26:47.563129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:47.690907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6496
65.0%
0 3504
35.0%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8190 
0
1765 
1
 
44
2
 
1

Length

Max length4
Median length4
Mean length3.457
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8190
81.9%
0 1765
 
17.6%
1 44
 
0.4%
2 1
 
< 0.1%

Length

2023-12-11T07:26:47.825194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:47.959794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8190
81.9%
0 1765
 
17.6%
1 44
 
0.4%
2 1
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8129 
0
1705 
1
 
161
2
 
4
4
 
1

Length

Max length4
Median length4
Mean length3.4387
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8129
81.3%
0 1705
 
17.1%
1 161
 
1.6%
2 4
 
< 0.1%
4 1
 
< 0.1%

Length

2023-12-11T07:26:48.104861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:48.236667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8129
81.3%
0 1705
 
17.1%
1 161
 
1.6%
2 4
 
< 0.1%
4 1
 
< 0.1%

회수건조수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6808 
0
3192 

Length

Max length4
Median length4
Mean length3.0424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6808
68.1%
0 3192
31.9%

Length

2023-12-11T07:26:48.368502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:48.491528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6808
68.1%
0 3192
31.9%

침대수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6842 
0
3149 
1
 
7
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.0526
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6842
68.4%
0 3149
31.5%
1 7
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%

Length

2023-12-11T07:26:48.613052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:48.724243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6842
68.4%
0 3149
31.5%
1 7
 
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9995 
True
 
5
ValueCountFrequency (%)
False 9995
> 99.9%
True 5
 
0.1%
2023-12-11T07:26:48.805153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
7257안성시신신이용원영업20030403경기도 안성시 개내교1길 7 (신건지동)경기도 안성시 신건지동 3-14번지17573031 675676937.013775127.253767<NA><NA><NA><NA><NA>33.00222516.448548390273.920999일반이용업1<NA><NA>1<NA><NA><NA><NA><NA>N4<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
10313파주시원앙폐업19870630<NA>경기도 파주시 문산읍 문산리 10-0번지108249529719<NA><NA><NA>20190228<NA><NA><NA>14.00<NA><NA>일반이용업000000000N3<NA><NA><NA>임대0<NA><NA>00N
9019용인시쉼터이용원폐업20061127경기도 용인시 처인구 백암면 백암로 191 2층 (백암리)경기도 용인시 처인구 백암면 백암리 470-5번지 2층17178<NA>37.163922127.375415<NA>20090715<NA><NA><NA>154.11233277.657081406974.148544일반이용업5<NA><NA><NA><NA><NA><NA><NA><NA>N8<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
5443수원시청솔이용원폐업19990628<NA>경기도 수원시 팔달구 화서동 184-3616442<NA>37.276623126.999454<NA>20100415<NA><NA><NA>20.89199884.115191419415.451652일반이용업000<NA>0<NA>000N3<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
8374양평군협동이용원폐업1976-06-30<NA>경기도 양평군 용문면 다문리 716-912521031 7733865<NA><NA><NA>2023-04-21<NA><NA><NA>15.20<NA><NA>일반이용업101100000N3<NA><NA><NA><NA>00000N
7260안성시신호수이용원폐업20040207경기도 안성시 장기로 52 462-1 (인지동)경기도 안성시 인지동 419-2번지 462-117583<NA>37.004498127.268353<NA>20040805<NA><NA><NA>462.35223818.300324389248.788076일반이용업<NA><NA><NA><NA><NA><NA><NA><NA>4N1<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
4739수원시르네상스폐업20110425경기도 수원시 장안구 창훈로66번길 11-3경기도 수원시 장안구 연무동 21 유천프라자 109호16214<NA>37.297932127.028456<NA>20110630<NA><NA><NA>22.50202452.472243421775.195313일반이용업00<NA><NA><NA><NA>000N3<NA><NA><NA><NA>0<NA><NA>00N
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시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적X좌표값Y좌표값위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
1650군포시레드폴바버샵 AK금정점폐업2023-07-07경기도 군포시 엘에스로 143, 4001일부호 (금정동, 힐스테이트 금정역)경기도 군포시 금정동 916 힐스테이트 금정역 4001일부호15809031 427 867237.372844126.944851<NA>2023-11-01<NA><NA><NA>62.37195045.840186430029.875659일반이용업000000000N0<NA><NA><NA><NA>00000N
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