Overview

Dataset statistics

Number of variables38
Number of observations10000
Missing cells110320
Missing cells (%)29.0%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory3.2 MiB
Average record size in memory335.0 B

Variable types

Categorical15
Text6
DateTime2
Numeric7
Unsupported7
Boolean1

Dataset

Description즉석판매제조가공업_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=NAFYRSLLJHWP89BVCBOD27934841&infSeq=1

Alerts

영업장주변구분명 has constant value ""Constant
등급구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
Dataset has 3 (< 0.1%) duplicate rowsDuplicates
업태구분명 is highly imbalanced (98.2%)Imbalance
위생업태명 is highly imbalanced (98.8%)Imbalance
급수시설구분명 is highly imbalanced (69.5%)Imbalance
공장판매직종업원수 is highly imbalanced (56.7%)Imbalance
공장생산직종업원수 is highly imbalanced (56.4%)Imbalance
보증액 is highly imbalanced (62.0%)Imbalance
월세액 is highly imbalanced (65.9%)Imbalance
도로명주소 has 283 (2.8%) missing valuesMissing
우편번호 has 804 (8.0%) missing valuesMissing
전화번호 has 6516 (65.2%) missing valuesMissing
WGS84위도 has 785 (7.8%) missing valuesMissing
WGS84경도 has 785 (7.8%) missing valuesMissing
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 1210 (12.1%) 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 4228 (42.3%) missing valuesMissing
X좌표값 has 285 (2.9%) missing valuesMissing
Y좌표값 has 285 (2.9%) missing valuesMissing
영업장주변구분명 has 9999 (> 99.9%) missing valuesMissing
등급구분명 has 9999 (> 99.9%) missing valuesMissing
시설총규모 has 5137 (51.4%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 1457 (14.6%) zerosZeros
시설총규모 has 4750 (47.5%) zerosZeros

Reproduction

Analysis started2023-12-10 22:07:44.536265
Analysis finished2023-12-10 22:07:46.350511
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고양시
5419 
광명시
1160 
군포시
860 
구리시
699 
광주시
689 
Other values (3)
1173 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 5419
54.2%
광명시 1160
 
11.6%
군포시 860
 
8.6%
구리시 699
 
7.0%
광주시 689
 
6.9%
김포시 660
 
6.6%
과천시 353
 
3.5%
가평군 160
 
1.6%

Length

2023-12-11T07:07:46.404139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:46.504370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 5419
54.2%
광명시 1160
 
11.6%
군포시 860
 
8.6%
구리시 699
 
7.0%
광주시 689
 
6.9%
김포시 660
 
6.6%
과천시 353
 
3.5%
가평군 160
 
1.6%

사업장명
Text

Distinct4916
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:07:46.748444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length26
Mean length8.1112
Min length1

Characters and Unicode

Total characters81112
Distinct characters860
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3933 ?
Unique (%)39.3%

Sample

1st row아누키(ANUKI)
2nd row(주)해오름상사
3rd row(주)해솔디엔씨
4th row(주)미트벨리
5th row(주)현진해양
ValueCountFrequency (%)
주식회사 465
 
4.1%
주)푸드뱅크코리아(한시적 178
 
1.6%
주)푸드뱅크코리아 58
 
0.5%
주)마켓인 57
 
0.5%
주)인네이처 57
 
0.5%
씨엔 54
 
0.5%
월드푸드(한시적 53
 
0.5%
주)명류당티에프(한시적 51
 
0.4%
농촌사랑(주 50
 
0.4%
마켓인(한시적 47
 
0.4%
Other values (5215) 10312
90.6%
2023-12-11T07:07:47.105439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 6320
 
7.8%
( 6277
 
7.7%
주 3939
 
4.9%
한 3338
 
4.1%
시 3170
 
3.9%
적 2876
 
3.5%
드 1683
 
2.1%
푸 1407
 
1.7%
1382
 
1.7%
식 1348
 
1.7%
Other values (850) 49372
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65385
80.6%
Close Punctuation 6320
 
7.8%
Open Punctuation 6277
 
7.7%
Space Separator 1382
 
1.7%
Uppercase Letter 754
 
0.9%
Lowercase Letter 673
 
0.8%
Other Punctuation 156
 
0.2%
Decimal Number 150
 
0.2%
Dash Punctuation 10
 
< 0.1%
Connector Punctuation 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3939
 
6.0%
한 3338
 
5.1%
시 3170
 
4.8%
적 2876
 
4.4%
드 1683
 
2.6%
푸 1407
 
2.2%
식 1348
 
2.1%
이 1300
 
2.0%
사 1192
 
1.8%
산 1167
 
1.8%
Other values (773) 43965
67.2%
Lowercase Letter
ValueCountFrequency (%)
e 83
12.3%
a 73
 
10.8%
o 70
 
10.4%
i 44
 
6.5%
n 43
 
6.4%
s 37
 
5.5%
m 37
 
5.5%
r 37
 
5.5%
c 33
 
4.9%
t 33
 
4.9%
Other values (15) 183
27.2%
Uppercase Letter
ValueCountFrequency (%)
B 60
 
8.0%
F 60
 
8.0%
H 59
 
7.8%
S 58
 
7.7%
A 47
 
6.2%
C 46
 
6.1%
M 45
 
6.0%
D 43
 
5.7%
G 38
 
5.0%
O 38
 
5.0%
Other values (15) 260
34.5%
Decimal Number
ValueCountFrequency (%)
1 40
26.7%
2 36
24.0%
5 18
12.0%
3 16
 
10.7%
0 15
 
10.0%
8 6
 
4.0%
7 6
 
4.0%
4 5
 
3.3%
9 5
 
3.3%
6 3
 
2.0%
Other Punctuation
ValueCountFrequency (%)
& 105
67.3%
. 25
 
16.0%
' 12
 
7.7%
, 9
 
5.8%
: 1
 
0.6%
· 1
 
0.6%
＆ 1
 
0.6%
． 1
 
0.6%
# 1
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
50.0%
Ⅱ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6320
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6277
100.0%
Space Separator
ValueCountFrequency (%)
1382
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65376
80.6%
Common 14298
 
17.6%
Latin 1429
 
1.8%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3939
 
6.0%
한 3338
 
5.1%
시 3170
 
4.8%
적 2876
 
4.4%
드 1683
 
2.6%
푸 1407
 
2.2%
식 1348
 
2.1%
이 1300
 
2.0%
사 1192
 
1.8%
산 1167
 
1.8%
Other values (764) 43956
67.2%
Latin
ValueCountFrequency (%)
e 83
 
5.8%
a 73
 
5.1%
o 70
 
4.9%
B 60
 
4.2%
F 60
 
4.2%
H 59
 
4.1%
S 58
 
4.1%
A 47
 
3.3%
C 46
 
3.2%
M 45
 
3.1%
Other values (42) 828
57.9%
Common
ValueCountFrequency (%)
) 6320
44.2%
( 6277
43.9%
1382
 
9.7%
& 105
 
0.7%
1 40
 
0.3%
2 36
 
0.3%
. 25
 
0.2%
5 18
 
0.1%
3 16
 
0.1%
0 15
 
0.1%
Other values (15) 64
 
0.4%
Han
ValueCountFrequency (%)
眞 1
11.1%
業 1
11.1%
企 1
11.1%
大 1
11.1%
愛 1
11.1%
手 1
11.1%
多 1
11.1%
人 1
11.1%
米 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65375
80.6%
ASCII 15722
 
19.4%
CJK 9
 
< 0.1%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 6320
40.2%
( 6277
39.9%
1382
 
8.8%
& 105
 
0.7%
e 83
 
0.5%
a 73
 
0.5%
o 70
 
0.4%
B 60
 
0.4%
F 60
 
0.4%
H 59
 
0.4%
Other values (62) 1233
 
7.8%
Hangul
ValueCountFrequency (%)
주 3939
 
6.0%
한 3338
 
5.1%
시 3170
 
4.8%
적 2876
 
4.4%
드 1683
 
2.6%
푸 1407
 
2.2%
식 1348
 
2.1%
이 1300
 
2.0%
사 1192
 
1.8%
산 1167
 
1.8%
Other values (763) 43955
67.2%
CJK
ValueCountFrequency (%)
眞 1
11.1%
業 1
11.1%
企 1
11.1%
大 1
11.1%
愛 1
11.1%
手 1
11.1%
多 1
11.1%
人 1
11.1%
米 1
11.1%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
50.0%
Ⅱ 1
50.0%
None
ValueCountFrequency (%)
· 1
33.3%
＆ 1
33.3%
． 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

영업상태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
8790 
영업
1210 

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 8790
87.9%
영업 1210
 
12.1%

Length

2023-12-11T07:07:47.228358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:47.323706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 8790
87.9%
영업 1210
 
12.1%

인허가일자
Date

Distinct4155
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1974-09-02 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:07:47.429701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:07:47.557108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

MISSING 

Distinct6072
Distinct (%)62.5%
Missing283
Missing (%)2.8%
Memory size156.2 KiB
2023-12-11T07:07:47.801902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length65
Mean length38.739117
Min length15

Characters and Unicode

Total characters376428
Distinct characters556
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5182 ?
Unique (%)53.3%

Sample

1st row경기도 고양시 일산서구 주엽로 80, 고양일산 호수공원 가로수길 D219호 (대화동)
2nd row경기도 고양시 일산서구 호수로 817, 지하1층 (대화동, 홈플러스킨텍스점 )
3rd row경기도 가평군 가평읍 호반로 2562, 1층
4th row경기도 김포시 김포한강2로 41 (장기동, e편한세상 캐널시티)
5th row경기도 김포시 풍무로 167, 지하1층 (풍무동)
ValueCountFrequency (%)
경기도 9717
 
12.4%
고양시 5312
 
6.8%
일부호 3091
 
4.0%
1층 2540
 
3.2%
지하1층 2100
 
2.7%
일산서구 2036
 
2.6%
덕양구 1700
 
2.2%
일산동구 1576
 
2.0%
중앙로 1147
 
1.5%
광명시 1127
 
1.4%
Other values (4904) 47852
61.2%
2023-12-11T07:07:48.173332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68644
 
18.2%
1 12583
 
3.3%
동 12029
 
3.2%
경 10577
 
2.8%
로 10197
 
2.7%
도 9971
 
2.6%
기 9968
 
2.6%
( 9930
 
2.6%
) 9928
 
2.6%
시 9830
 
2.6%
Other values (546) 212771
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233505
62.0%
Space Separator 68644
 
18.2%
Decimal Number 38919
 
10.3%
Other Punctuation 13345
 
3.5%
Open Punctuation 9938
 
2.6%
Close Punctuation 9936
 
2.6%
Uppercase Letter 1078
 
0.3%
Dash Punctuation 904
 
0.2%
Lowercase Letter 130
 
< 0.1%
Math Symbol 23
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12029
 
5.2%
경 10577
 
4.5%
로 10197
 
4.4%
도 9971
 
4.3%
기 9968
 
4.3%
시 9830
 
4.2%
일 9074
 
3.9%
양 8974
 
3.8%
산 8102
 
3.5%
층 6803
 
2.9%
Other values (481) 137980
59.1%
Uppercase Letter
ValueCountFrequency (%)
G 303
28.1%
S 290
26.9%
B 161
14.9%
A 58
 
5.4%
P 36
 
3.3%
L 34
 
3.2%
K 30
 
2.8%
C 20
 
1.9%
I 20
 
1.9%
F 18
 
1.7%
Other values (14) 108
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 41
31.5%
s 34
26.2%
g 29
22.3%
o 8
 
6.2%
t 6
 
4.6%
c 5
 
3.8%
k 3
 
2.3%
i 1
 
0.8%
r 1
 
0.8%
b 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 12583
32.3%
2 4941
 
12.7%
3 3482
 
8.9%
7 3347
 
8.6%
0 2896
 
7.4%
6 2871
 
7.4%
4 2636
 
6.8%
8 2302
 
5.9%
5 2245
 
5.8%
9 1616
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 9745
73.0%
* 3550
 
26.6%
. 30
 
0.2%
& 8
 
0.1%
@ 4
 
< 0.1%
/ 3
 
< 0.1%
' 2
 
< 0.1%
# 2
 
< 0.1%
: 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9930
99.9%
[ 8
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 9928
99.9%
] 8
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
68644
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 904
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233504
62.0%
Common 141712
37.6%
Latin 1211
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12029
 
5.2%
경 10577
 
4.5%
로 10197
 
4.4%
도 9971
 
4.3%
기 9968
 
4.3%
시 9830
 
4.2%
일 9074
 
3.9%
양 8974
 
3.8%
산 8102
 
3.5%
층 6803
 
2.9%
Other values (480) 137979
59.1%
Latin
ValueCountFrequency (%)
G 303
25.0%
S 290
23.9%
B 161
13.3%
A 58
 
4.8%
e 41
 
3.4%
P 36
 
3.0%
L 34
 
2.8%
s 34
 
2.8%
K 30
 
2.5%
g 29
 
2.4%
Other values (27) 195
16.1%
Common
ValueCountFrequency (%)
68644
48.4%
1 12583
 
8.9%
( 9930
 
7.0%
) 9928
 
7.0%
, 9745
 
6.9%
2 4941
 
3.5%
* 3550
 
2.5%
3 3482
 
2.5%
7 3347
 
2.4%
0 2896
 
2.0%
Other values (18) 12666
 
8.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233504
62.0%
ASCII 142920
38.0%
Number Forms 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68644
48.0%
1 12583
 
8.8%
( 9930
 
6.9%
) 9928
 
6.9%
, 9745
 
6.8%
2 4941
 
3.5%
* 3550
 
2.5%
3 3482
 
2.4%
7 3347
 
2.3%
0 2896
 
2.0%
Other values (53) 13874
 
9.7%
Hangul
ValueCountFrequency (%)
동 12029
 
5.2%
경 10577
 
4.5%
로 10197
 
4.4%
도 9971
 
4.3%
기 9968
 
4.3%
시 9830
 
4.2%
일 9074
 
3.9%
양 8974
 
3.8%
산 8102
 
3.5%
층 6803
 
2.9%
Other values (480) 137979
59.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
CJK
ValueCountFrequency (%)
內 1
100.0%

지번주소
Text

Distinct5012
Distinct (%)50.1%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T07:07:48.404922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length53
Mean length28.343803
Min length15

Characters and Unicode

Total characters283353
Distinct characters509
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4155 ?
Unique (%)41.6%

Sample

1st row경기도 고양시 일산서구 대화동 1050-185
2nd row경기도 고양시 일산서구 대화동 2602번지 홈플러스킨텍스점 지하1층
3rd row경기도 가평군 가평읍 달전리 452-1번지
4th row경기도 김포시 장기동 2031번지 롯데마트 김포한강 식품관 내
5th row경기도 김포시 풍무동 38-1 홈플러스김포풍무점 지하1층
ValueCountFrequency (%)
경기도 9997
 
16.7%
고양시 5418
 
9.1%
일산서구 2076
 
3.5%
덕양구 1737
 
2.9%
일산동구 1605
 
2.7%
대화동 1178
 
2.0%
광명시 1160
 
1.9%
1층 942
 
1.6%
군포시 861
 
1.4%
지하1층 815
 
1.4%
Other values (4893) 33958
56.8%
2023-12-11T07:07:48.786444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54423
 
19.2%
동 11771
 
4.2%
경 10262
 
3.6%
도 10101
 
3.6%
기 10095
 
3.6%
시 9959
 
3.5%
1 9292
 
3.3%
지 8819
 
3.1%
양 8269
 
2.9%
산 6897
 
2.4%
Other values (499) 143465
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179235
63.3%
Space Separator 54423
 
19.2%
Decimal Number 39820
 
14.1%
Dash Punctuation 4288
 
1.5%
Other Punctuation 3529
 
1.2%
Uppercase Letter 955
 
0.3%
Open Punctuation 495
 
0.2%
Close Punctuation 495
 
0.2%
Lowercase Letter 98
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11771
 
6.6%
경 10262
 
5.7%
도 10101
 
5.6%
기 10095
 
5.6%
시 9959
 
5.6%
지 8819
 
4.9%
양 8269
 
4.6%
산 6897
 
3.8%
번 6531
 
3.6%
구 6514
 
3.6%
Other values (440) 90017
50.2%
Uppercase Letter
ValueCountFrequency (%)
G 310
32.5%
S 256
26.8%
B 114
 
11.9%
L 67
 
7.0%
A 41
 
4.3%
M 17
 
1.8%
E 17
 
1.8%
K 15
 
1.6%
C 15
 
1.6%
P 15
 
1.6%
Other values (12) 88
 
9.2%
Decimal Number
ValueCountFrequency (%)
1 9292
23.3%
2 6629
16.6%
3 4115
10.3%
7 3465
 
8.7%
0 3370
 
8.5%
6 3016
 
7.6%
9 2740
 
6.9%
4 2734
 
6.9%
8 2239
 
5.6%
5 2220
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 31
31.6%
s 24
24.5%
g 19
19.4%
o 8
 
8.2%
t 6
 
6.1%
c 5
 
5.1%
k 2
 
2.0%
h 1
 
1.0%
i 1
 
1.0%
r 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
* 3281
93.0%
, 183
 
5.2%
. 43
 
1.2%
& 10
 
0.3%
@ 5
 
0.1%
/ 3
 
0.1%
: 2
 
0.1%
' 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 488
98.6%
[ 7
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 488
98.6%
] 7
 
1.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
54423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179234
63.3%
Common 103062
36.4%
Latin 1056
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11771
 
6.6%
경 10262
 
5.7%
도 10101
 
5.6%
기 10095
 
5.6%
시 9959
 
5.6%
지 8819
 
4.9%
양 8269
 
4.6%
산 6897
 
3.8%
번 6531
 
3.6%
구 6514
 
3.6%
Other values (439) 90016
50.2%
Latin
ValueCountFrequency (%)
G 310
29.4%
S 256
24.2%
B 114
 
10.8%
L 67
 
6.3%
A 41
 
3.9%
e 31
 
2.9%
s 24
 
2.3%
g 19
 
1.8%
M 17
 
1.6%
E 17
 
1.6%
Other values (24) 160
15.2%
Common
ValueCountFrequency (%)
54423
52.8%
1 9292
 
9.0%
2 6629
 
6.4%
- 4288
 
4.2%
3 4115
 
4.0%
7 3465
 
3.4%
0 3370
 
3.3%
* 3281
 
3.2%
6 3016
 
2.9%
9 2740
 
2.7%
Other values (15) 8443
 
8.2%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179234
63.3%
ASCII 104115
36.7%
Number Forms 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54423
52.3%
1 9292
 
8.9%
2 6629
 
6.4%
- 4288
 
4.1%
3 4115
 
4.0%
7 3465
 
3.3%
0 3370
 
3.2%
* 3281
 
3.2%
6 3016
 
2.9%
9 2740
 
2.6%
Other values (47) 9496
 
9.1%
Hangul
ValueCountFrequency (%)
동 11771
 
6.6%
경 10262
 
5.7%
도 10101
 
5.6%
기 10095
 
5.6%
시 9959
 
5.6%
지 8819
 
4.9%
양 8269
 
4.6%
산 6897
 
3.8%
번 6531
 
3.6%
구 6514
 
3.6%
Other values (439) 90016
50.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
CJK
ValueCountFrequency (%)
內 1
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct663
Distinct (%)7.2%
Missing804
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean11715.577
Minimum10005
Maximum15888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:48.911070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10005
5-th percentile10111
Q110379
median10495
Q312790
95-th percentile15862
Maximum15888
Range5883
Interquartile range (IQR)2411

Descriptive statistics

Standard deviation1897.0334
Coefficient of variation (CV)0.16192403
Kurtosis-0.44253245
Mean11715.577
Median Absolute Deviation (MAD)259
Skewness1.0113165
Sum1.0773645 × 108
Variance3598735.7
MonotonicityNot monotonic
2023-12-11T07:07:49.025134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10391 510
 
5.1%
10401 385
 
3.9%
10500 335
 
3.4%
10226 326
 
3.3%
15865 240
 
2.4%
11922 223
 
2.2%
10595 218
 
2.2%
10495 204
 
2.0%
13837 198
 
2.0%
10414 190
 
1.9%
Other values (653) 6367
63.7%
(Missing) 804
 
8.0%
ValueCountFrequency (%)
10005 1
 
< 0.1%
10010 1
 
< 0.1%
10011 17
0.2%
10012 1
 
< 0.1%
10013 2
 
< 0.1%
10018 11
0.1%
10019 8
0.1%
10020 1
 
< 0.1%
10024 1
 
< 0.1%
10030 1
 
< 0.1%
ValueCountFrequency (%)
15888 6
 
0.1%
15887 2
 
< 0.1%
15886 2
 
< 0.1%
15885 15
0.1%
15880 3
 
< 0.1%
15875 8
 
0.1%
15874 24
0.2%
15872 2
 
< 0.1%
15871 10
0.1%
15870 5
 
0.1%

전화번호
Text

MISSING 

Distinct2334
Distinct (%)67.0%
Missing6516
Missing (%)65.2%
Memory size156.2 KiB
2023-12-11T07:07:49.314679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.190586
Min length2

Characters and Unicode

Total characters38988
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

Unique2031 ?
Unique (%)58.3%

Sample

1st row031 734 0951
2nd row032 8880610
3rd row031 797 0580
4th row02 845 4358
5th row02 991 0774
ValueCountFrequency (%)
031 2039
25.9%
02 566
 
7.2%
070 127
 
1.6%
032 118
 
1.5%
062 52
 
0.7%
792 41
 
0.5%
224 36
 
0.5%
055 36
 
0.5%
858 34
 
0.4%
2300 33
 
0.4%
Other values (2543) 4792
60.9%
2023-12-11T07:07:49.727054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6477
16.6%
4720
12.1%
1 4578
11.7%
3 4499
11.5%
2 3593
9.2%
9 3082
7.9%
7 2667
6.8%
5 2639
6.8%
6 2383
 
6.1%
8 2338
 
6.0%
Other values (2) 2012
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34239
87.8%
Space Separator 4720
 
12.1%
Dash Punctuation 29
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6477
18.9%
1 4578
13.4%
3 4499
13.1%
2 3593
10.5%
9 3082
9.0%
7 2667
7.8%
5 2639
7.7%
6 2383
 
7.0%
8 2338
 
6.8%
4 1983
 
5.8%
Space Separator
ValueCountFrequency (%)
4720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38988
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6477
16.6%
4720
12.1%
1 4578
11.7%
3 4499
11.5%
2 3593
9.2%
9 3082
7.9%
7 2667
6.8%
5 2639
6.8%
6 2383
 
6.1%
8 2338
 
6.0%
Other values (2) 2012
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6477
16.6%
4720
12.1%
1 4578
11.7%
3 4499
11.5%
2 3593
9.2%
9 3082
7.9%
7 2667
6.8%
5 2639
6.8%
6 2383
 
6.1%
8 2338
 
6.0%
Other values (2) 2012
 
5.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct2635
Distinct (%)28.6%
Missing785
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean37.582038
Minimum37.30903
Maximum37.963694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:49.855932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.30903
5-th percentile37.358105
Q137.472183
median37.634361
Q337.667964
95-th percentile37.689938
Maximum37.963694
Range0.65466368
Interquartile range (IQR)0.19578143

Descriptive statistics

Standard deviation0.1174695
Coefficient of variation (CV)0.0031256819
Kurtosis-0.74950041
Mean37.582038
Median Absolute Deviation (MAD)0.038386325
Skewness-0.7984322
Sum346318.48
Variance0.013799082
MonotonicityNot monotonic
2023-12-11T07:07:49.972399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6679645 251
 
2.5%
37.6679786706 198
 
2.0%
37.6251114 178
 
1.8%
37.6831821 166
 
1.7%
37.6606005 160
 
1.6%
37.6027017 158
 
1.6%
37.3610272 126
 
1.3%
37.4751822 124
 
1.2%
37.6709039 118
 
1.2%
37.3559441 111
 
1.1%
Other values (2625) 7625
76.2%
(Missing) 785
 
7.8%
ValueCountFrequency (%)
37.3090304426 1
 
< 0.1%
37.3160503285 1
 
< 0.1%
37.3161428777 3
 
< 0.1%
37.3162198078 10
0.1%
37.3166925701 1
 
< 0.1%
37.322297459 1
 
< 0.1%
37.3247053 2
 
< 0.1%
37.326611626 5
0.1%
37.326682735 1
 
< 0.1%
37.3272577 1
 
< 0.1%
ValueCountFrequency (%)
37.963694124 1
< 0.1%
37.8870317 1
< 0.1%
37.88387 1
< 0.1%
37.8652091415 1
< 0.1%
37.8552678227 1
< 0.1%
37.8520331744 1
< 0.1%
37.8511172 1
< 0.1%
37.8508517559 1
< 0.1%
37.8449669096 1
< 0.1%
37.8410100558 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct2636
Distinct (%)28.6%
Missing785
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean126.87999
Minimum126.5329
Maximum127.54986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:50.275473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5329
5-th percentile126.71783
Q1126.766
median126.83495
Q3126.92929
95-th percentile127.25653
Maximum127.54986
Range1.0169604
Interquartile range (IQR)0.16329007

Descriptive statistics

Standard deviation0.16651239
Coefficient of variation (CV)0.0013123613
Kurtosis1.842665
Mean126.87999
Median Absolute Deviation (MAD)0.0738523
Skewness1.4484813
Sum1169199.1
Variance0.027726376
MonotonicityNot monotonic
2023-12-11T07:07:50.390340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7513867 251
 
2.5%
126.7516242854 198
 
2.0%
126.8361265 178
 
1.8%
126.7473562 166
 
1.7%
126.7719358 160
 
1.6%
127.143949 158
 
1.6%
126.931452 126
 
1.3%
126.8670629 124
 
1.2%
126.7611019 118
 
1.2%
126.9292897 111
 
1.1%
Other values (2626) 7625
76.2%
(Missing) 785
 
7.8%
ValueCountFrequency (%)
126.5328963829 1
 
< 0.1%
126.5413494 1
 
< 0.1%
126.5417059231 1
 
< 0.1%
126.5418704 2
< 0.1%
126.5430528165 2
< 0.1%
126.5565351 1
 
< 0.1%
126.5780362573 1
 
< 0.1%
126.5810108 3
< 0.1%
126.5810108707 2
< 0.1%
126.5812320799 2
< 0.1%
ValueCountFrequency (%)
127.5498568 1
 
< 0.1%
127.5490765 1
 
< 0.1%
127.5490510666 1
 
< 0.1%
127.5489698213 1
 
< 0.1%
127.5489622 1
 
< 0.1%
127.5449911 1
 
< 0.1%
127.5287959 1
 
< 0.1%
127.5266356647 1
 
< 0.1%
127.5245934818 1
 
< 0.1%
127.5210429935 6
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

폐업일자
Date

MISSING 

Distinct3953
Distinct (%)45.0%
Missing1210
Missing (%)12.1%
Memory size156.2 KiB
Minimum1995-07-03 00:00:00
Maximum2023-12-06 00:00:00
2023-12-11T07:07:50.498833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:07:50.606415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

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
Real number (ℝ)

MISSING  ZEROS 

Distinct1473
Distinct (%)25.5%
Missing4228
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean17.592857
Minimum0
Maximum533.72
Zeros1457
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:50.710483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.235
Q324.18
95-th percentile62.427
Maximum533.72
Range533.72
Interquartile range (IQR)24.18

Descriptive statistics

Standard deviation31.990034
Coefficient of variation (CV)1.8183536
Kurtosis58.897246
Mean17.592857
Median Absolute Deviation (MAD)6.235
Skewness5.8913281
Sum101545.97
Variance1023.3623
MonotonicityNot monotonic
2023-12-11T07:07:50.833386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1457
 
14.6%
3.3 731
 
7.3%
6.6 153
 
1.5%
10.0 126
 
1.3%
6.0 106
 
1.1%
4.0 94
 
0.9%
3.0 83
 
0.8%
9.9 64
 
0.6%
2.0 61
 
0.6%
33.0 59
 
0.6%
Other values (1463) 2838
28.4%
(Missing) 4228
42.3%
ValueCountFrequency (%)
0.0 1457
14.6%
0.55 1
 
< 0.1%
0.6 1
 
< 0.1%
0.75 1
 
< 0.1%
0.78 1
 
< 0.1%
0.8 1
 
< 0.1%
1.0 14
 
0.1%
1.02 1
 
< 0.1%
1.05 1
 
< 0.1%
1.1 1
 
< 0.1%
ValueCountFrequency (%)
533.72 1
< 0.1%
519.42 1
< 0.1%
465.6 1
< 0.1%
463.31 1
< 0.1%
457.2 1
< 0.1%
376.94 1
< 0.1%
360.0 1
< 0.1%
327.39 1
< 0.1%
297.36 1
< 0.1%
277.06 1
< 0.1%

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9983 
기타
 
17

Length

Max length9
Median length9
Mean length8.9881
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9983
99.8%
기타 17
 
0.2%

Length

2023-12-11T07:07:50.952669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:51.042881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9983
99.8%
기타 17
 
0.2%

X좌표값
Real number (ℝ)

MISSING 

Distinct2400
Distinct (%)24.7%
Missing285
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean189333.05
Minimum159180.13
Maximum248366.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:51.125167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159180.13
5-th percentile175023.33
Q1179238.73
median185331.88
Q3193729.87
95-th percentile222813.13
Maximum248366.98
Range89186.854
Interquartile range (IQR)14491.147

Descriptive statistics

Standard deviation14951.099
Coefficient of variation (CV)0.078967193
Kurtosis1.9109579
Mean189333.05
Median Absolute Deviation (MAD)6472.0914
Skewness1.4733103
Sum1.8393705 × 109
Variance2.2353537 × 108
MonotonicityNot monotonic
2023-12-11T07:07:51.237180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178006.080301401 540
 
5.4%
177648.225192203 352
 
3.5%
179812.331183859 259
 
2.6%
212647.021160325 228
 
2.3%
193861.874466854 220
 
2.2%
185469.285638831 207
 
2.1%
188175.811151552 184
 
1.8%
189714.449800306 183
 
1.8%
223061.389182349 173
 
1.7%
193729.872096481 168
 
1.7%
Other values (2390) 7201
72.0%
(Missing) 285
 
2.9%
ValueCountFrequency (%)
159180.129229934 1
 
< 0.1%
159454.541579767 6
0.1%
159500.475281578 4
< 0.1%
159597.92469437 2
 
< 0.1%
160874.386195649 1
 
< 0.1%
161434.340935015 1
 
< 0.1%
162697.857306611 1
 
< 0.1%
162960.303587655 7
0.1%
163134.270342481 1
 
< 0.1%
163218.675829156 1
 
< 0.1%
ValueCountFrequency (%)
248366.982754425 1
 
< 0.1%
248329.648795164 1
 
< 0.1%
248255.485201787 1
 
< 0.1%
248236.907677729 1
 
< 0.1%
248230.553929964 1
 
< 0.1%
247996.643663801 1
 
< 0.1%
246498.753278505 6
0.1%
246445.927162803 1
 
< 0.1%
246406.575889224 1
 
< 0.1%
246134.252632673 1
 
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct2401
Distinct (%)24.7%
Missing285
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean454479.29
Minimum423043.47
Maximum560834.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:51.340909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423043.47
5-th percentile428460.2
Q1441293.81
median459716.37
Q3462865.81
95-th percentile466138.74
Maximum560834.91
Range137791.44
Interquartile range (IQR)21572.007

Descriptive statistics

Standard deviation16809.849
Coefficient of variation (CV)0.036987052
Kurtosis13.819202
Mean454479.29
Median Absolute Deviation (MAD)4099.7176
Skewness2.0346895
Sum4.4152663 × 109
Variance2.8257103 × 108
MonotonicityNot monotonic
2023-12-11T07:07:51.444830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
462865.812502378 540
 
5.4%
464571.275236154 352
 
3.5%
462059.506265122 259
 
2.6%
455616.655198478 228
 
2.3%
428787.505318045 220
 
2.2%
458105.907013269 207
 
2.1%
441461.453719641 184
 
1.8%
438279.937828733 183
 
1.8%
434193.70905707 173
 
1.7%
428221.430499605 168
 
1.7%
Other values (2391) 7201
72.0%
(Missing) 285
 
2.9%
ValueCountFrequency (%)
423043.47208224 1
 
< 0.1%
423805.612391722 2
 
< 0.1%
423808.543445065 1
 
< 0.1%
424345.05318434 1
 
< 0.1%
424477.65 1
 
< 0.1%
424754.17773732 2
 
< 0.1%
424955.452699996 5
0.1%
424967.341576728 1
 
< 0.1%
425003.943878465 1
 
< 0.1%
425040.297528107 1
 
< 0.1%
ValueCountFrequency (%)
560834.907896845 87
0.9%
558895.2705657 10
 
0.1%
495764.473729116 1
 
< 0.1%
487304.910340702 1
 
< 0.1%
486955.045296432 1
 
< 0.1%
484773.838080719 1
 
< 0.1%
483782.239528339 1
 
< 0.1%
483403.601018913 1
 
< 0.1%
483319.426246619 1
 
< 0.1%
483265.263548741 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
즉석판매제조가공업
9982 
기타
 
17
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9876
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 9982
99.8%
기타 17
 
0.2%
<NA> 1
 
< 0.1%

Length

2023-12-11T07:07:51.559979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:51.640999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 9982
99.8%
기타 17
 
0.2%
na 1
 
< 0.1%

남성종사자수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7562 
0
2437 
1
 
1

Length

Max length4
Median length4
Mean length3.2686
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7562
75.6%
0 2437
 
24.4%
1 1
 
< 0.1%

Length

2023-12-11T07:07:51.734915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:51.817670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7562
75.6%
0 2437
 
24.4%
1 1
 
< 0.1%

여성종사자수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7562 
0
2437 
1
 
1

Length

Max length4
Median length4
Mean length3.2686
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7562
75.6%
0 2437
 
24.4%
1 1
 
< 0.1%

Length

2023-12-11T07:07:51.916712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:51.997630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7562
75.6%
0 2437
 
24.4%
1 1
 
< 0.1%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-11T07:07:52.081363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2023-12-11T07:07:52.268540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

등급구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-11T07:07:52.339508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2023-12-11T07:07:52.498608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8206 
상수도전용
1755 
지하수전용
 
33
간이상수도
 
4
상수도(음용)지하수(주방용)겸용
 
2

Length

Max length17
Median length4
Mean length4.1818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8206
82.1%
상수도전용 1755
 
17.5%
지하수전용 33
 
0.3%
간이상수도 4
 
< 0.1%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%

Length

2023-12-11T07:07:52.604160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:52.694241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8206
82.1%
상수도전용 1755
 
17.5%
지하수전용 33
 
0.3%
간이상수도 4
 
< 0.1%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%

총종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7596 
0
2404 

Length

Max length4
Median length4
Mean length3.2788
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7596
76.0%
0 2404
 
24.0%

Length

2023-12-11T07:07:52.790665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:52.871739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7596
76.0%
0 2404
 
24.0%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5713 
0
4287 

Length

Max length4
Median length4
Mean length2.7139
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5713
57.1%
0 4287
42.9%

Length

2023-12-11T07:07:52.953315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:53.028706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5713
57.1%
0 4287
42.9%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5713 
0
4286 
1
 
1

Length

Max length4
Median length4
Mean length2.7139
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5713
57.1%
0 4286
42.9%
1 1
 
< 0.1%

Length

2023-12-11T07:07:53.108596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:53.190333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5713
57.1%
0 4286
42.9%
1 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5704 
0
4277 
1
 
12
2
 
5
3
 
2

Length

Max length4
Median length4
Mean length2.7112
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5704
57.0%
0 4277
42.8%
1 12
 
0.1%
2 5
 
0.1%
3 2
 
< 0.1%

Length

2023-12-11T07:07:53.279593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:53.366849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5704
57.0%
0 4277
42.8%
1 12
 
0.1%
2 5
 
< 0.1%
3 2
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5700 
0
4272 
1
 
23
2
 
4
5
 
1

Length

Max length4
Median length4
Mean length2.71
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5700
57.0%
0 4272
42.7%
1 23
 
0.2%
2 4
 
< 0.1%
5 1
 
< 0.1%

Length

2023-12-11T07:07:53.457925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:53.546142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5700
57.0%
0 4272
42.7%
1 23
 
0.2%
2 4
 
< 0.1%
5 1
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4903 
자가
3437 
임대
1660 

Length

Max length4
Median length2
Mean length2.9806
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자가
2nd row자가
3rd row자가
4th row자가
5th row임대

Common Values

ValueCountFrequency (%)
<NA> 4903
49.0%
자가 3437
34.4%
임대 1660
 
16.6%

Length

2023-12-11T07:07:53.657397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:53.743788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4903
49.0%
자가 3437
34.4%
임대 1660
 
16.6%

보증액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7031 
0
2965 
10000000
 
2
20000000
 
1
30000000
 
1

Length

Max length8
Median length4
Mean length3.1121
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7031
70.3%
0 2965
29.6%
10000000 2
 
< 0.1%
20000000 1
 
< 0.1%
30000000 1
 
< 0.1%

Length

2023-12-11T07:07:53.836627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:53.922005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7031
70.3%
0 2965
29.6%
10000000 2
 
< 0.1%
20000000 1
 
< 0.1%
30000000 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7031 
0
2965 
1500000
 
1
700000
 
1
400000
 
1

Length

Max length7
Median length4
Mean length3.1115
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7031
70.3%
0 2965
29.6%
1500000 1
 
< 0.1%
700000 1
 
< 0.1%
400000 1
 
< 0.1%
1700000 1
 
< 0.1%

Length

2023-12-11T07:07:54.015858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:07:54.103252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7031
70.3%
0 2965
29.6%
1500000 1
 
< 0.1%
700000 1
 
< 0.1%
400000 1
 
< 0.1%
1700000 1
 
< 0.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size97.7 KiB
False
9999 
(Missing)
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
(Missing) 1
 
< 0.1%
2023-12-11T07:07:54.172412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)1.7%
Missing5137
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean0.3838906
Minimum0
Maximum123
Zeros4750
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:07:54.252344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum123
Range123
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8051659
Coefficient of variation (CV)9.9121101
Kurtosis368.79191
Mean0.3838906
Median Absolute Deviation (MAD)0
Skewness16.619321
Sum1866.86
Variance14.479288
MonotonicityNot monotonic
2023-12-11T07:07:54.360202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4750
47.5%
3.3 8
 
0.1%
3.0 7
 
0.1%
6.6 6
 
0.1%
10.0 4
 
< 0.1%
9.9 3
 
< 0.1%
12.0 3
 
< 0.1%
13.0 2
 
< 0.1%
4.0 2
 
< 0.1%
9.0 2
 
< 0.1%
Other values (71) 76
 
0.8%
(Missing) 5137
51.4%
ValueCountFrequency (%)
0.0 4750
47.5%
1.0 1
 
< 0.1%
1.55 1
 
< 0.1%
1.82 1
 
< 0.1%
2.0 2
 
< 0.1%
2.04 1
 
< 0.1%
2.1 2
 
< 0.1%
2.52 1
 
< 0.1%
2.55 1
 
< 0.1%
2.79 1
 
< 0.1%
ValueCountFrequency (%)
123.0 1
< 0.1%
79.4 1
< 0.1%
76.16 1
< 0.1%
68.29 1
< 0.1%
62.32 1
< 0.1%
61.0 1
< 0.1%
53.64 1
< 0.1%
42.59 1
< 0.1%
39.0 1
< 0.1%
38.52 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
12285고양시아누키(ANUKI)영업2023-10-11경기도 고양시 일산서구 주엽로 80, 고양일산 호수공원 가로수길 D219호 (대화동)경기도 고양시 일산서구 대화동 1050-18510392<NA>37.666017126.756406<NA><NA><NA><NA><NA>39.29즉석판매제조가공업178443.772452462653.992742즉석판매제조가공업00<NA><NA><NA>00000자가00N<NA><NA><NA><NA>
5288고양시(주)해오름상사폐업20150722경기도 고양시 일산서구 호수로 817, 지하1층 (대화동, 홈플러스킨텍스점 )경기도 고양시 일산서구 대화동 2602번지 홈플러스킨텍스점 지하1층10391<NA>37.667964126.751387<NA>20151228<NA><NA><NA>6.0즉석판매제조가공업178006.080301462865.812502즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
15가평군(주)해솔디엔씨폐업20190717경기도 가평군 가평읍 호반로 2562, 1층경기도 가평군 가평읍 달전리 452-1번지12422<NA>37.814345127.515028<NA>20190816<NA><NA><NA>7.04즉석판매제조가공업245286.319396479221.184496즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N<NA><NA><NA><NA>
32108김포시(주)미트벨리폐업20180405경기도 김포시 김포한강2로 41 (장기동, e편한세상 캐널시티)경기도 김포시 장기동 2031번지 롯데마트 김포한강 식품관 내10090031 734 095137.640412126.677495<NA>20180503<NA><NA><NA>3.3즉석판매제조가공업171471.604963459839.839696즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
33007김포시(주)현진해양폐업20150302경기도 김포시 풍무로 167, 지하1층 (풍무동)경기도 김포시 풍무동 38-1 홈플러스김포풍무점 지하1층10117032 888061037.609963126.724119<NA>20201208<NA><NA><NA>24.0즉석판매제조가공업175533.126929456437.773531즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
25526광주시주식회사 만구폐업20190528경기도 광주시 광주대로 30, 이마트 경기광주점 지하1층 (경안동)경기도 광주시 경안동 25-3번지 광주종합터미널12757<NA>37.409502127.261225<NA>20190612<NA><NA><NA>0.0즉석판매제조가공업223061.389182434193.709057즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N<NA><NA><NA><NA>
22919광명시주식회사에벤에셀폐업20190218경기도 광명시 철산로 4, 이천일아울렛 지하1층 (철산동)경기도 광명시 철산동 261번지 이천일아울렛14237<NA>37.475182126.867063<NA>20190303<NA><NA><NA><NA>즉석판매제조가공업188175.811152441461.45372즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
28220구리시주식회사 라이스클레이영업20180209경기도 구리시 동구릉로459번길 29, 1층 (사노동)경기도 구리시 사노동 322-2번지 1층11905<NA>37.637558127.137931<NA><NA><NA><NA><NA>219.98즉석판매제조가공업212110.255133459483.499924즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N68.29<NA><NA><NA>
31667김포시(주)다정수산폐업20180829경기도 김포시 통진읍 마송1로84번길 72, 굿모닝식자재마트 내 수산코너경기도 김포시 통진읍 마송리 514-1 굿모닝식자재마트 내 수산코너10031<NA>37.689083126.597673<NA>20201106<NA><NA><NA>30.0즉석판매제조가공업164451.664655465277.283526즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
25121광주시연서네 반찬폐업20110929경기도 광주시 이배재로 466, 1층 (목현동, 대성할인마트내 )경기도 광주시 목현동 393-6번지 1층 대성할인마트내12765031 797 058037.432085127.208844<NA>20191014<NA><NA><NA>23.0즉석판매제조가공업218417.56976436689.784583즉석판매제조가공업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
4508고양시(주)푸드뱅크코리아(한시적)폐업20191223경기도 고양시 덕양구 고양대로1369번길 69, 원당농협 성사지점 1층 로컬푸드직매장 일부호 (성사동)경기도 고양시 덕양구 성사동 505번지 원당농협 성사지점10463<NA>37.657108126.83848<NA>20191224<NA><NA><NA><NA>즉석판매제조가공업185682.382787461658.905323즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
18424고양시홈플러스(주)고양터미널점폐업20150714경기도 고양시 일산동구 중앙로 1036, 지하2층 (백석동, 홈플러스고양터미널점 )경기도 고양시 일산동구 백석동 1242번지 홈플러스고양터미널점 지하2층10450031 936 792437.643164126.789654<NA>20170419<NA><NA><NA>9.9즉석판매제조가공업181369.967204460117.354561즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
21103광명시대가야폐업20090302<NA>경기도 광명시 철산동 367번지 지하1층14243026332900037.472129126.876451<NA>20090310<NA><NA><NA>3.0즉석판매제조가공업189007.571467441119.364084즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
9143고양시마켓인폐업20190703경기도 고양시 일산서구 중앙로 1388, 태영프라자 지하1층 (주엽동)경기도 고양시 일산서구 주엽동 73번지 태영프라자10366<NA>37.668543126.765405<NA>20190723<NA><NA><NA><NA>즉석판매제조가공업179238.725261462941.223698즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
33887김포시동풍폐업2023-08-30경기도 김포시 고촌읍 상미1로 7, GS슈퍼마켓김포향산점 일부호 (힐스테이트 리버시티 2단지)경기도 김포시 고촌읍 향산리 83-1 힐스테이트 리버시티 2단지10121<NA>37.620994126.747608<NA>2023-09-06<NA><NA><NA>3.3즉석판매제조가공업177521.002805457465.186085즉석판매제조가공업00<NA><NA>상수도전용00000임대00N<NA><NA><NA><NA>
28724군포시(유)순희네에프앤비폐업20180425경기도 군포시 산본로 347 (주)이마트산본점 1층 (산본동)경기도 군포시 산본동 1123번지 (주)이마트산본점1586502 2275142537.361027126.931452<NA>20180516<NA><NA><NA><NA>즉석판매제조가공업193861.874467428787.505318즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
11398고양시송원지E(한시적)폐업20190516경기도 고양시 일산서구 호수로 817, 지하1층 (대화동)경기도 고양시 일산서구 대화동 2602번지10391<NA>37.667964126.751387<NA>20190523<NA><NA><NA><NA>즉석판매제조가공업178006.080301462865.812502즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
32970김포시(주)한울에프엔비폐업20211223경기도 김포시 풍무로 ***, 홈플러스 풍무점 지하*층 식품관 내호 (풍무동)경기도 김포시 풍무동 **-*10113<NA><NA><NA><NA>20220111<NA><NA><NA>3.3즉석판매제조가공업175533.126929456437.773531즉석판매제조가공업00<NA><NA>상수도전용00000임대00N<NA><NA><NA><NA>
30903군포시임마누엘건강원폐업20160325경기도 군포시 군포로775번길 73-15, 1층 (산본동)경기도 군포시 산본동 83-23번지 1층15806<NA>37.37197126.939006<NA>20190318<NA><NA><NA>14.19즉석판매제조가공업194531.025333429999.350361즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N<NA><NA><NA><NA>
6296고양시고수록(한시적)폐업20160608경기도 고양시 일산서구 중앙로 1436, 지하1층 (주엽동, 그랜드백화점 일산점)경기도 고양시 일산서구 주엽동 22번지10387041 952933037.670904126.761102<NA>20160616<NA><NA><NA>0.0즉석판매제조가공업178859.791399463205.227173즉석판매제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도폐업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모# duplicates
0고양시월마트코리아(주)일산점폐업19990723<NA>경기도 고양시 일산서구 덕이동 203-6번지 1층 월마트코리아(주)일산점10238031 910121137.687767126.75984520031202<NA>즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.04
1고양시월마트코리아(주)일산점폐업20010827<NA>경기도 고양시 일산서구 덕이동 203-6번지 월마트코리아(주)일산점10238031 910121037.687767126.75984520031202<NA>즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.02
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