Overview

Dataset statistics

Number of variables38
Number of observations5213
Missing cells72944
Missing cells (%)36.8%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory1.6 MiB
Average record size in memory328.0 B

Variable types

Categorical9
Text5
DateTime2
Numeric12
Unsupported9
Boolean1

Dataset

Description집단급식소식품판매업_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=FHNN87SNIIQ1UVELJ4PJ27903728&infSeq=1

Alerts

업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
급수시설구분명 is highly imbalanced (54.5%)Imbalance
다중이용업소여부 is highly imbalanced (99.7%)Imbalance
도로명주소 has 80 (1.5%) missing valuesMissing
우편번호 has 344 (6.6%) missing valuesMissing
전화번호 has 1805 (34.6%) missing valuesMissing
WGS84위도 has 357 (6.8%) missing valuesMissing
WGS84경도 has 357 (6.8%) missing valuesMissing
인허가취소일자 has 5213 (100.0%) missing valuesMissing
폐업일자 has 2072 (39.7%) missing valuesMissing
휴업시작일자 has 5213 (100.0%) missing valuesMissing
휴업종료일자 has 5213 (100.0%) missing valuesMissing
재개업일자 has 5213 (100.0%) missing valuesMissing
소재지면적 has 362 (6.9%) missing valuesMissing
X좌표값 has 113 (2.2%) missing valuesMissing
Y좌표값 has 113 (2.2%) missing valuesMissing
영업장주변구분명 has 5213 (100.0%) missing valuesMissing
등급구분명 has 5213 (100.0%) missing valuesMissing
본사종업원수 has 2394 (45.9%) missing valuesMissing
공장사무직종업원수 has 2340 (44.9%) missing valuesMissing
공장판매직종업원수 has 2352 (45.1%) missing valuesMissing
공장생산직종업원수 has 2380 (45.7%) missing valuesMissing
보증액 has 4124 (79.1%) missing valuesMissing
월세액 has 4123 (79.1%) missing valuesMissing
시설총규모 has 2707 (51.9%) missing valuesMissing
전통업소지정번호 has 5213 (100.0%) missing valuesMissing
전통업소주된음식 has 5213 (100.0%) missing valuesMissing
홈페이지 has 5213 (100.0%) missing valuesMissing
본사종업원수 is highly skewed (γ1 = 52.02036841)Skewed
공장사무직종업원수 is highly skewed (γ1 = 53.32812379)Skewed
공장판매직종업원수 is highly skewed (γ1 = 33.34765381)Skewed
공장생산직종업원수 is highly skewed (γ1 = 20.56438109)Skewed
월세액 is highly skewed (γ1 = 23.17610319)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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 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
본사종업원수 has 2795 (53.6%) zerosZeros
공장사무직종업원수 has 2726 (52.3%) zerosZeros
공장판매직종업원수 has 2770 (53.1%) zerosZeros
공장생산직종업원수 has 2785 (53.4%) zerosZeros
보증액 has 1066 (20.4%) zerosZeros
월세액 has 1067 (20.5%) zerosZeros
시설총규모 has 2112 (40.5%) zerosZeros

Reproduction

Analysis started2023-12-10 22:20:14.613178
Analysis finished2023-12-10 22:20:16.044298
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
하남시
515 
고양시
433 
용인시
351 
남양주시
331 
안산시
 
301
Other values (26)
3282 

Length

Max length4
Median length3
Mean length3.097065
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하남시 515
 
9.9%
고양시 433
 
8.3%
용인시 351
 
6.7%
남양주시 331
 
6.3%
안산시 301
 
5.8%
성남시 284
 
5.4%
수원시 278
 
5.3%
부천시 277
 
5.3%
화성시 257
 
4.9%
시흥시 254
 
4.9%
Other values (21) 1932
37.1%

Length

2023-12-11T07:20:16.093067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
하남시 515
 
9.9%
고양시 433
 
8.3%
용인시 351
 
6.7%
남양주시 331
 
6.3%
안산시 301
 
5.8%
성남시 284
 
5.4%
수원시 278
 
5.3%
부천시 277
 
5.3%
화성시 257
 
4.9%
시흥시 254
 
4.9%
Other values (21) 1932
37.1%

사업장명
Text

Distinct4412
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
2023-12-11T07:20:16.320669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length6.7460196
Min length2

Characters and Unicode

Total characters35167
Distinct characters632
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3856 ?
Unique (%)74.0%

Sample

1st row가평키즈
2nd row강원농산유통
3rd row강원북부케어
4th row농업회사법인그린푸드주식회사
5th row동원단체급식푸드시스템
ValueCountFrequency (%)
주식회사 401
 
6.5%
농업회사법인 114
 
1.9%
주 31
 
0.5%
푸드 28
 
0.5%
food 14
 
0.2%
그린푸드 12
 
0.2%
영농조합법인 11
 
0.2%
유통 10
 
0.2%
조은푸드 10
 
0.2%
드림푸드 9
 
0.1%
Other values (4506) 5519
89.6%
2023-12-11T07:20:16.709676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1866
 
5.3%
드 1452
 
4.1%
푸 1406
 
4.0%
) 1368
 
3.9%
( 1345
 
3.8%
사 1020
 
2.9%
946
 
2.7%
식 934
 
2.7%
유 881
 
2.5%
회 864
 
2.5%
Other values (622) 23085
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30613
87.1%
Close Punctuation 1368
 
3.9%
Open Punctuation 1345
 
3.8%
Space Separator 946
 
2.7%
Uppercase Letter 522
 
1.5%
Lowercase Letter 206
 
0.6%
Other Punctuation 89
 
0.3%
Decimal Number 69
 
0.2%
Dash Punctuation 8
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1866
 
6.1%
드 1452
 
4.7%
푸 1406
 
4.6%
사 1020
 
3.3%
식 934
 
3.1%
유 881
 
2.9%
회 864
 
2.8%
통 764
 
2.5%
농 659
 
2.2%
스 618
 
2.0%
Other values (564) 20149
65.8%
Uppercase Letter
ValueCountFrequency (%)
F 125
23.9%
S 110
21.1%
C 37
 
7.1%
D 32
 
6.1%
M 31
 
5.9%
K 28
 
5.4%
O 25
 
4.8%
T 20
 
3.8%
H 15
 
2.9%
N 15
 
2.9%
Other values (11) 84
16.1%
Lowercase Letter
ValueCountFrequency (%)
o 45
21.8%
d 26
12.6%
e 20
9.7%
s 14
 
6.8%
n 12
 
5.8%
a 12
 
5.8%
f 11
 
5.3%
t 11
 
5.3%
l 11
 
5.3%
r 10
 
4.9%
Other values (8) 34
16.5%
Decimal Number
ValueCountFrequency (%)
2 16
23.2%
1 16
23.2%
0 10
14.5%
3 8
11.6%
4 7
10.1%
5 6
 
8.7%
6 4
 
5.8%
9 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 38
42.7%
& 33
37.1%
/ 7
 
7.9%
, 7
 
7.9%
· 3
 
3.4%
' 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 1368
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1345
100.0%
Space Separator
ValueCountFrequency (%)
946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30614
87.1%
Common 3825
 
10.9%
Latin 728
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1866
 
6.1%
드 1452
 
4.7%
푸 1406
 
4.6%
사 1020
 
3.3%
식 934
 
3.1%
유 881
 
2.9%
회 864
 
2.8%
통 764
 
2.5%
농 659
 
2.2%
스 618
 
2.0%
Other values (565) 20150
65.8%
Latin
ValueCountFrequency (%)
F 125
17.2%
S 110
15.1%
o 45
 
6.2%
C 37
 
5.1%
D 32
 
4.4%
M 31
 
4.3%
K 28
 
3.8%
d 26
 
3.6%
O 25
 
3.4%
T 20
 
2.7%
Other values (29) 249
34.2%
Common
ValueCountFrequency (%)
) 1368
35.8%
( 1345
35.2%
946
24.7%
. 38
 
1.0%
& 33
 
0.9%
2 16
 
0.4%
1 16
 
0.4%
0 10
 
0.3%
- 8
 
0.2%
3 8
 
0.2%
Other values (8) 37
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30613
87.1%
ASCII 4550
 
12.9%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1866
 
6.1%
드 1452
 
4.7%
푸 1406
 
4.6%
사 1020
 
3.3%
식 934
 
3.1%
유 881
 
2.9%
회 864
 
2.8%
통 764
 
2.5%
농 659
 
2.2%
스 618
 
2.0%
Other values (564) 20149
65.8%
ASCII
ValueCountFrequency (%)
) 1368
30.1%
( 1345
29.6%
946
20.8%
F 125
 
2.7%
S 110
 
2.4%
o 45
 
1.0%
. 38
 
0.8%
C 37
 
0.8%
& 33
 
0.7%
D 32
 
0.7%
Other values (46) 471
 
10.4%
None
ValueCountFrequency (%)
· 3
75.0%
㈜ 1
 
25.0%

영업상태
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
폐업
3141 
영업
2072 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3141
60.3%
영업 2072
39.7%

Length

2023-12-11T07:20:16.813828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:16.886352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3141
60.3%
영업 2072
39.7%

인허가일자
Date

Distinct2479
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
Minimum2008-03-14 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T07:20:16.967904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:20:17.070714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

MISSING 

Distinct4743
Distinct (%)92.4%
Missing80
Missing (%)1.5%
Memory size40.9 KiB
2023-12-11T07:20:17.324481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length57
Mean length31.496396
Min length14

Characters and Unicode

Total characters161671
Distinct characters556
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4416 ?
Unique (%)86.0%

Sample

1st row경기도 가평군 가평읍 태평길 20, 1층
2nd row경기도 가평군 가평읍 불기산길 32-1
3rd row경기도 가평군 가평읍 연인2길 12-9, 2층
4th row경기도 가평군 가평읍 석봉로 100, 로컬푸드매장동 제6동 1층
5th row경기도 가평군 청평면 경춘로 834 (청평리)
ValueCountFrequency (%)
경기도 5133
 
15.1%
1층 1678
 
4.9%
하남시 513
 
1.5%
고양시 429
 
1.3%
384
 
1.1%
용인시 341
 
1.0%
일부 340
 
1.0%
남양주시 329
 
1.0%
일부호 308
 
0.9%
안산시 298
 
0.9%
Other values (6236) 24294
71.4%
2023-12-11T07:20:17.707705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28930
 
17.9%
1 7573
 
4.7%
동 5585
 
3.5%
시 5565
 
3.4%
도 5401
 
3.3%
기 5337
 
3.3%
경 5324
 
3.3%
( 4439
 
2.7%
) 4437
 
2.7%
로 4432
 
2.7%
Other values (546) 84648
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90007
55.7%
Space Separator 28930
 
17.9%
Decimal Number 25728
 
15.9%
Other Punctuation 6137
 
3.8%
Open Punctuation 4443
 
2.7%
Close Punctuation 4441
 
2.7%
Dash Punctuation 1602
 
1.0%
Uppercase Letter 343
 
0.2%
Math Symbol 26
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5585
 
6.2%
시 5565
 
6.2%
도 5401
 
6.0%
기 5337
 
5.9%
경 5324
 
5.9%
로 4432
 
4.9%
길 3246
 
3.6%
층 3215
 
3.6%
번 2426
 
2.7%
구 2236
 
2.5%
Other values (488) 47240
52.5%
Uppercase Letter
ValueCountFrequency (%)
B 114
33.2%
A 99
28.9%
D 18
 
5.2%
C 17
 
5.0%
I 13
 
3.8%
E 10
 
2.9%
T 9
 
2.6%
X 7
 
2.0%
O 7
 
2.0%
K 6
 
1.7%
Other values (13) 43
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 7573
29.4%
2 3502
13.6%
3 2693
 
10.5%
0 2155
 
8.4%
4 2066
 
8.0%
5 1848
 
7.2%
6 1716
 
6.7%
7 1550
 
6.0%
8 1314
 
5.1%
9 1311
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 4254
69.3%
* 1858
30.3%
. 18
 
0.3%
@ 3
 
< 0.1%
/ 1
 
< 0.1%
· 1
 
< 0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
k 2
22.2%
a 2
22.2%
s 1
11.1%
v 1
11.1%
c 1
11.1%
e 1
11.1%
n 1
11.1%
Open Punctuation
ValueCountFrequency (%)
( 4439
99.9%
[ 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 4437
99.9%
] 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 24
92.3%
+ 2
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 2
40.0%
Space Separator
ValueCountFrequency (%)
28930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90007
55.7%
Common 71307
44.1%
Latin 357
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5585
 
6.2%
시 5565
 
6.2%
도 5401
 
6.0%
기 5337
 
5.9%
경 5324
 
5.9%
로 4432
 
4.9%
길 3246
 
3.6%
층 3215
 
3.6%
번 2426
 
2.7%
구 2236
 
2.5%
Other values (488) 47240
52.5%
Latin
ValueCountFrequency (%)
B 114
31.9%
A 99
27.7%
D 18
 
5.0%
C 17
 
4.8%
I 13
 
3.6%
E 10
 
2.8%
T 9
 
2.5%
X 7
 
2.0%
O 7
 
2.0%
K 6
 
1.7%
Other values (22) 57
16.0%
Common
ValueCountFrequency (%)
28930
40.6%
1 7573
 
10.6%
( 4439
 
6.2%
) 4437
 
6.2%
, 4254
 
6.0%
2 3502
 
4.9%
3 2693
 
3.8%
0 2155
 
3.0%
4 2066
 
2.9%
* 1858
 
2.6%
Other values (16) 9400
 
13.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90007
55.7%
ASCII 71658
44.3%
Number Forms 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28930
40.4%
1 7573
 
10.6%
( 4439
 
6.2%
) 4437
 
6.2%
, 4254
 
5.9%
2 3502
 
4.9%
3 2693
 
3.8%
0 2155
 
3.0%
4 2066
 
2.9%
* 1858
 
2.6%
Other values (45) 9751
 
13.6%
Hangul
ValueCountFrequency (%)
동 5585
 
6.2%
시 5565
 
6.2%
도 5401
 
6.0%
기 5337
 
5.9%
경 5324
 
5.9%
로 4432
 
4.9%
길 3246
 
3.6%
층 3215
 
3.6%
번 2426
 
2.7%
구 2236
 
2.5%
Other values (488) 47240
52.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 2
40.0%
None
ValueCountFrequency (%)
· 1
100.0%

지번주소
Text

Distinct4799
Distinct (%)92.1%
Missing4
Missing (%)0.1%
Memory size40.9 KiB
2023-12-11T07:20:17.985907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length52
Mean length25.856018
Min length14

Characters and Unicode

Total characters134684
Distinct characters498
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4450 ?
Unique (%)85.4%

Sample

1st row경기도 가평군 가평읍 읍내리 357 ,1층
2nd row경기도 가평군 가평읍 상색리 449번지
3rd row경기도 가평군 가평읍 읍내리 461-23 2층
4th row경기도 가평군 가평읍 대곡리 148-3 로컬푸드매장동, 1층 제6동
5th row경기도 가평군 청평면 청평리 470-22번지
ValueCountFrequency (%)
경기도 5209
 
17.8%
1층 1075
 
3.7%
하남시 512
 
1.8%
고양시 433
 
1.5%
359
 
1.2%
용인시 351
 
1.2%
남양주시 331
 
1.1%
일부 323
 
1.1%
안산시 301
 
1.0%
성남시 285
 
1.0%
Other values (5846) 20032
68.6%
2023-12-11T07:20:18.378313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26481
19.7%
1 6328
 
4.7%
시 5557
 
4.1%
도 5431
 
4.0%
기 5365
 
4.0%
경 5232
 
3.9%
동 5191
 
3.9%
- 4247
 
3.2%
지 3954
 
2.9%
2 3456
 
2.6%
Other values (488) 63442
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75875
56.3%
Space Separator 26481
 
19.7%
Decimal Number 24737
 
18.4%
Dash Punctuation 4247
 
3.2%
Other Punctuation 2077
 
1.5%
Open Punctuation 469
 
0.3%
Close Punctuation 467
 
0.3%
Uppercase Letter 301
 
0.2%
Math Symbol 18
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5557
 
7.3%
도 5431
 
7.2%
기 5365
 
7.1%
경 5232
 
6.9%
동 5191
 
6.8%
지 3954
 
5.2%
번 3151
 
4.2%
층 2134
 
2.8%
구 2128
 
2.8%
리 1584
 
2.1%
Other values (430) 36148
47.6%
Uppercase Letter
ValueCountFrequency (%)
B 91
30.2%
A 87
28.9%
D 14
 
4.7%
E 13
 
4.3%
C 12
 
4.0%
I 12
 
4.0%
T 10
 
3.3%
O 8
 
2.7%
X 7
 
2.3%
W 6
 
2.0%
Other values (14) 41
13.6%
Decimal Number
ValueCountFrequency (%)
1 6328
25.6%
2 3456
14.0%
3 2538
10.3%
4 2176
 
8.8%
5 1974
 
8.0%
0 1863
 
7.5%
6 1835
 
7.4%
7 1725
 
7.0%
8 1425
 
5.8%
9 1417
 
5.7%
Other Punctuation
ValueCountFrequency (%)
* 1714
82.5%
, 334
 
16.1%
. 21
 
1.0%
@ 3
 
0.1%
/ 2
 
0.1%
: 1
 
< 0.1%
· 1
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
e 1
16.7%
k 1
16.7%
n 1
16.7%
c 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 467
99.6%
[ 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 465
99.6%
] 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 16
88.9%
+ 2
 
11.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
Space Separator
ValueCountFrequency (%)
26481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4247
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75875
56.3%
Common 58498
43.4%
Latin 311
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5557
 
7.3%
도 5431
 
7.2%
기 5365
 
7.1%
경 5232
 
6.9%
동 5191
 
6.8%
지 3954
 
5.2%
번 3151
 
4.2%
층 2134
 
2.8%
구 2128
 
2.8%
리 1584
 
2.1%
Other values (430) 36148
47.6%
Latin
ValueCountFrequency (%)
B 91
29.3%
A 87
28.0%
D 14
 
4.5%
E 13
 
4.2%
C 12
 
3.9%
I 12
 
3.9%
T 10
 
3.2%
O 8
 
2.6%
X 7
 
2.3%
W 6
 
1.9%
Other values (21) 51
16.4%
Common
ValueCountFrequency (%)
26481
45.3%
1 6328
 
10.8%
- 4247
 
7.3%
2 3456
 
5.9%
3 2538
 
4.3%
4 2176
 
3.7%
5 1974
 
3.4%
0 1863
 
3.2%
6 1835
 
3.1%
7 1725
 
2.9%
Other values (17) 5875
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75875
56.3%
ASCII 58802
43.7%
Number Forms 4
 
< 0.1%
CJK Compat 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26481
45.0%
1 6328
 
10.8%
- 4247
 
7.2%
2 3456
 
5.9%
3 2538
 
4.3%
4 2176
 
3.7%
5 1974
 
3.4%
0 1863
 
3.2%
6 1835
 
3.1%
7 1725
 
2.9%
Other values (44) 6179
 
10.5%
Hangul
ValueCountFrequency (%)
시 5557
 
7.3%
도 5431
 
7.2%
기 5365
 
7.1%
경 5232
 
6.9%
동 5191
 
6.8%
지 3954
 
5.2%
번 3151
 
4.2%
층 2134
 
2.8%
구 2128
 
2.8%
리 1584
 
2.1%
Other values (430) 36148
47.6%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 2
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

우편번호
Real number (ℝ)

MISSING 

Distinct1843
Distinct (%)37.9%
Missing344
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean13986.578
Minimum10003
Maximum18624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:18.492611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10256
Q112033
median13406
Q316216
95-th percentile18136
Maximum18624
Range8621
Interquartile range (IQR)4183

Descriptive statistics

Standard deviation2470.3757
Coefficient of variation (CV)0.17662474
Kurtosis-1.0969965
Mean13986.578
Median Absolute Deviation (MAD)1830
Skewness0.21072587
Sum68100646
Variance6102755.9
MonotonicityNot monotonic
2023-12-11T07:20:18.597357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11916 65
 
1.2%
13024 46
 
0.9%
12986 42
 
0.8%
14741 31
 
0.6%
12956 30
 
0.6%
12991 30
 
0.6%
12962 29
 
0.6%
13019 28
 
0.5%
13020 27
 
0.5%
13025 27
 
0.5%
Other values (1833) 4514
86.6%
(Missing) 344
 
6.6%
ValueCountFrequency (%)
10003 1
 
< 0.1%
10009 1
 
< 0.1%
10011 2
 
< 0.1%
10013 4
0.1%
10014 5
0.1%
10016 3
0.1%
10017 1
 
< 0.1%
10018 1
 
< 0.1%
10019 2
 
< 0.1%
10022 1
 
< 0.1%
ValueCountFrequency (%)
18624 1
 
< 0.1%
18617 1
 
< 0.1%
18589 2
< 0.1%
18586 1
 
< 0.1%
18585 1
 
< 0.1%
18584 1
 
< 0.1%
18583 1
 
< 0.1%
18582 1
 
< 0.1%
18577 3
0.1%
18576 1
 
< 0.1%

전화번호
Text

MISSING 

Distinct3050
Distinct (%)89.5%
Missing1805
Missing (%)34.6%
Memory size40.9 KiB
2023-12-11T07:20:18.877466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.627054
Min length3

Characters and Unicode

Total characters39625
Distinct characters11
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

Unique2755 ?
Unique (%)80.8%

Sample

1st row031 582 1206
2nd row031 582 8366
3rd row031 595 3815
4th row031 582 2468
5th row031581 9738
ValueCountFrequency (%)
031 2411
27.8%
070 253
 
2.9%
02 222
 
2.6%
032 149
 
1.7%
796 37
 
0.4%
792 18
 
0.2%
575 18
 
0.2%
797 16
 
0.2%
559 16
 
0.2%
655 15
 
0.2%
Other values (3356) 5515
63.6%
2023-12-11T07:20:19.274689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5982
15.1%
5487
13.8%
3 5153
13.0%
1 4845
12.2%
7 3055
7.7%
2 2850
7.2%
5 2609
6.6%
4 2605
6.6%
6 2534
6.4%
8 2381
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34138
86.2%
Space Separator 5487
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5982
17.5%
3 5153
15.1%
1 4845
14.2%
7 3055
8.9%
2 2850
8.3%
5 2609
7.6%
4 2605
7.6%
6 2534
7.4%
8 2381
 
7.0%
9 2124
 
6.2%
Space Separator
ValueCountFrequency (%)
5487
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39625
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5982
15.1%
5487
13.8%
3 5153
13.0%
1 4845
12.2%
7 3055
7.7%
2 2850
7.2%
5 2609
6.6%
4 2605
6.6%
6 2534
6.4%
8 2381
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5982
15.1%
5487
13.8%
3 5153
13.0%
1 4845
12.2%
7 3055
7.7%
2 2850
7.2%
5 2609
6.6%
4 2605
6.6%
6 2534
6.4%
8 2381
 
6.0%

WGS84위도
Real number (ℝ)

MISSING 

Distinct3845
Distinct (%)79.2%
Missing357
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean37.453447
Minimum36.944022
Maximum38.113498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:19.401202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.944022
5-th percentile37.107091
Q137.308337
median37.439528
Q337.617046
95-th percentile37.783862
Maximum38.113498
Range1.1694754
Interquartile range (IQR)0.30870877

Descriptive statistics

Standard deviation0.20692426
Coefficient of variation (CV)0.0055248389
Kurtosis-0.38740615
Mean37.453447
Median Absolute Deviation (MAD)0.15458682
Skewness0.005176138
Sum181873.94
Variance0.042817649
MonotonicityNot monotonic
2023-12-11T07:20:19.507654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.611647 51
 
1.0%
37.3824162 20
 
0.4%
37.5245655 10
 
0.2%
37.7314239 10
 
0.2%
37.3318677 8
 
0.2%
37.6408819 7
 
0.1%
37.5265603 7
 
0.1%
37.2616574 7
 
0.1%
37.1070655 7
 
0.1%
37.6090357307 7
 
0.1%
Other values (3835) 4722
90.6%
(Missing) 357
 
6.8%
ValueCountFrequency (%)
36.9440222 1
< 0.1%
36.9442069062 1
< 0.1%
36.9563046 1
< 0.1%
36.9581813554 1
< 0.1%
36.9582184 1
< 0.1%
36.959508969 1
< 0.1%
36.9600517251 1
< 0.1%
36.9601279202 1
< 0.1%
36.9629984 2
< 0.1%
36.9631983 1
< 0.1%
ValueCountFrequency (%)
38.1134976 1
< 0.1%
38.1015225679 1
< 0.1%
38.0585915159 1
< 0.1%
38.0565607 1
< 0.1%
38.047613 1
< 0.1%
38.038941983 2
< 0.1%
38.0327519 1
< 0.1%
38.0300963015 2
< 0.1%
38.028426627 1
< 0.1%
38.0243355955 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct3843
Distinct (%)79.1%
Missing357
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean127.03081
Minimum126.53828
Maximum127.74112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:19.613565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53828
5-th percentile126.73426
Q1126.84494
median127.05355
Q3127.17787
95-th percentile127.33268
Maximum127.74112
Range1.2028333
Interquartile range (IQR)0.33293265

Descriptive statistics

Standard deviation0.2022555
Coefficient of variation (CV)0.0015921767
Kurtosis-0.26350491
Mean127.03081
Median Absolute Deviation (MAD)0.15147651
Skewness0.19769176
Sum616861.62
Variance0.040907287
MonotonicityNot monotonic
2023-12-11T07:20:19.725584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1450418 51
 
1.0%
126.9699457 20
 
0.4%
126.7806777 10
 
0.2%
126.7784419 10
 
0.2%
126.9650369 8
 
0.2%
126.8669545 7
 
0.1%
127.0947462 7
 
0.1%
127.1817925 7
 
0.1%
126.7803478 7
 
0.1%
127.1461652473 7
 
0.1%
Other values (3833) 4722
90.6%
(Missing) 357
 
6.8%
ValueCountFrequency (%)
126.538284 2
< 0.1%
126.5410165688 1
 
< 0.1%
126.5521619019 3
0.1%
126.5523394 1
 
< 0.1%
126.5597597 1
 
< 0.1%
126.5642583 1
 
< 0.1%
126.5643756 1
 
< 0.1%
126.5698297 1
 
< 0.1%
126.570953 1
 
< 0.1%
126.5722325 1
 
< 0.1%
ValueCountFrequency (%)
127.7411173 1
< 0.1%
127.7118203 1
< 0.1%
127.7117348 1
< 0.1%
127.7104571 1
< 0.1%
127.6651337 1
< 0.1%
127.6642440484 1
< 0.1%
127.664244 1
< 0.1%
127.6614119 1
< 0.1%
127.6593692992 1
< 0.1%
127.6450228 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

폐업일자
Date

MISSING 

Distinct1890
Distinct (%)60.2%
Missing2072
Missing (%)39.7%
Memory size40.9 KiB
Minimum2008-05-23 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T07:20:19.834985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:20:19.942237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

소재지면적
Text

MISSING 

Distinct2920
Distinct (%)60.2%
Missing362
Missing (%)6.9%
Memory size40.9 KiB
2023-12-11T07:20:20.411798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.3197279
Min length3

Characters and Unicode

Total characters25806
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

Unique2352 ?
Unique (%)48.5%

Sample

1st row84.96
2nd row33.30
3rd row116.33
4th row89.41
5th row29.67
ValueCountFrequency (%)
33.00 88
 
1.8%
00 72
 
1.5%
198.00 61
 
1.3%
30.00 49
 
1.0%
66.00 44
 
0.9%
99.00 43
 
0.9%
20.00 34
 
0.7%
40.00 32
 
0.7%
50.00 32
 
0.7%
10.00 31
 
0.6%
Other values (2910) 4365
90.0%
2023-12-11T07:20:20.816969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5422
21.0%
. 4851
18.8%
1 2437
9.4%
2 2118
 
8.2%
3 1885
 
7.3%
4 1656
 
6.4%
6 1630
 
6.3%
5 1623
 
6.3%
8 1436
 
5.6%
9 1426
 
5.5%
Other values (2) 1322
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20852
80.8%
Other Punctuation 4954
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5422
26.0%
1 2437
11.7%
2 2118
 
10.2%
3 1885
 
9.0%
4 1656
 
7.9%
6 1630
 
7.8%
5 1623
 
7.8%
8 1436
 
6.9%
9 1426
 
6.8%
7 1219
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 4851
97.9%
, 103
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 25806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5422
21.0%
. 4851
18.8%
1 2437
9.4%
2 2118
 
8.2%
3 1885
 
7.3%
4 1656
 
6.4%
6 1630
 
6.3%
5 1623
 
6.3%
8 1436
 
5.6%
9 1426
 
5.5%
Other values (2) 1322
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5422
21.0%
. 4851
18.8%
1 2437
9.4%
2 2118
 
8.2%
3 1885
 
7.3%
4 1656
 
6.4%
6 1630
 
6.3%
5 1623
 
6.3%
8 1436
 
5.6%
9 1426
 
5.5%
Other values (2) 1322
 
5.1%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
집단급식소 식품판매업
5213 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 5213
100.0%

Length

2023-12-11T07:20:20.925216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:20.997928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 5213
50.0%
식품판매업 5213
50.0%

X좌표값
Real number (ℝ)

MISSING 

Distinct3742
Distinct (%)73.4%
Missing113
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean202645.26
Minimum159225.23
Maximum265409.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:21.086524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159225.23
5-th percentile176463.65
Q1186133.06
median204786.53
Q3215681.12
95-th percentile229146.89
Maximum265409.1
Range106183.87
Interquartile range (IQR)29548.068

Descriptive statistics

Standard deviation17947.823
Coefficient of variation (CV)0.08856769
Kurtosis-0.25589442
Mean202645.26
Median Absolute Deviation (MAD)13450.21
Skewness0.20203868
Sum1.0334908 × 109
Variance3.2212434 × 108
MonotonicityNot monotonic
2023-12-11T07:20:21.194157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212726.660822399 65
 
1.2%
197274.227903334 25
 
0.5%
180600.828178747 11
 
0.2%
180520.145215908 11
 
0.2%
180361.144840266 10
 
0.2%
202690.862880464 10
 
0.2%
221059.506361123 10
 
0.2%
176495.402218194 9
 
0.2%
211861.612013564 9
 
0.2%
228913.148296765 8
 
0.2%
Other values (3732) 4932
94.6%
(Missing) 113
 
2.2%
ValueCountFrequency (%)
159225.229584842 2
< 0.1%
159441.270424927 1
 
< 0.1%
160432.682487285 3
0.1%
160461.635395891 1
 
< 0.1%
161092.170317504 1
 
< 0.1%
161489.809851017 1
 
< 0.1%
161517.108589303 1
 
< 0.1%
161767.364729231 1
 
< 0.1%
162116.001039086 1
 
< 0.1%
162184.312170259 1
 
< 0.1%
ValueCountFrequency (%)
265409.097296808 1
< 0.1%
262994.99746368 1
< 0.1%
262852.317677717 1
< 0.1%
262713.046030173 1
< 0.1%
258978.110869289 1
< 0.1%
258900.981727731 2
< 0.1%
258573.589908434 1
< 0.1%
258244.697456528 1
< 0.1%
257122.579738234 1
< 0.1%
256847.692064014 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct3743
Distinct (%)73.4%
Missing113
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean439132.93
Minimum382506.47
Maximum512341.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:21.304849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum382506.47
5-th percentile400613.59
Q1422917.61
median437810.81
Q3457322.6
95-th percentile475705.53
Maximum512341.4
Range129834.93
Interquartile range (IQR)34404.99

Descriptive statistics

Standard deviation22999.974
Coefficient of variation (CV)0.052375881
Kurtosis-0.40485357
Mean439132.93
Median Absolute Deviation (MAD)17259.349
Skewness-0.0062671781
Sum2.2395779 × 109
Variance5.2899881 × 108
MonotonicityNot monotonic
2023-12-11T07:20:21.446397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456626.792275576 65
 
1.2%
431158.56437513 24
 
0.5%
469916.67784986 11
 
0.2%
447179.495359136 11
 
0.2%
418491.00891505 10
 
0.2%
417032.852071794 10
 
0.2%
446950.846373282 10
 
0.2%
416197.14696071 9
 
0.2%
431764.844038523 9
 
0.2%
427996.788056159 8
 
0.2%
Other values (3733) 4933
94.6%
(Missing) 113
 
2.2%
ValueCountFrequency (%)
382506.466491001 1
< 0.1%
382534.771346578 1
< 0.1%
383896.033454765 1
< 0.1%
384060.022977532 1
< 0.1%
384079.8443238 1
< 0.1%
384214.034353206 1
< 0.1%
384265.015940794 1
< 0.1%
384327.955994584 2
< 0.1%
384637.881092 2
< 0.1%
384656.355930473 1
< 0.1%
ValueCountFrequency (%)
512341.397985507 1
< 0.1%
510975.771877713 1
< 0.1%
506193.449232344 1
< 0.1%
505943.771416837 1
< 0.1%
504989.787350787 1
< 0.1%
504020.063634343 2
< 0.1%
503342.400814609 1
< 0.1%
503040.528094132 2
< 0.1%
502858.660918294 1
< 0.1%
502434.275004764 1
< 0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
집단급식소 식품판매업
5213 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 5213
100.0%

Length

2023-12-11T07:20:21.568906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:21.658069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 5213
50.0%
식품판매업 5213
50.0%

남성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
<NA>
4141 
0
1072 

Length

Max length4
Median length4
Mean length3.3830808
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4141
79.4%
0 1072
 
20.6%

Length

2023-12-11T07:20:21.735900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:21.807568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4141
79.4%
0 1072
 
20.6%

여성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
<NA>
4141 
0
1072 

Length

Max length4
Median length4
Mean length3.3830808
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4141
79.4%
0 1072
 
20.6%

Length

2023-12-11T07:20:21.887326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:21.968502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4141
79.4%
0 1072
 
20.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
<NA>
3380 
상수도전용
1727 
지하수전용
 
99
상수도(음용)지하수(주방용)겸용
 
4
간이상수도
 
3

Length

Max length17
Median length4
Mean length4.3608287
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3380
64.8%
상수도전용 1727
33.1%
지하수전용 99
 
1.9%
상수도(음용)지하수(주방용)겸용 4
 
0.1%
간이상수도 3
 
0.1%

Length

2023-12-11T07:20:22.051503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:22.133542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3380
64.8%
상수도전용 1727
33.1%
지하수전용 99
 
1.9%
상수도(음용)지하수(주방용)겸용 4
 
0.1%
간이상수도 3
 
0.1%

총종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
<NA>
4141 
0
1072 

Length

Max length4
Median length4
Mean length3.3830808
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4141
79.4%
0 1072
 
20.6%

Length

2023-12-11T07:20:22.223726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:22.303235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4141
79.4%
0 1072
 
20.6%

본사종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.4%
Missing2394
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean0.42390919
Minimum0
Maximum1000
Zeros2795
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:22.388596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1000
Range1000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.972679
Coefficient of variation (CV)44.75647
Kurtosis2737.4443
Mean0.42390919
Median Absolute Deviation (MAD)0
Skewness52.020368
Sum1195
Variance359.96254
MonotonicityNot monotonic
2023-12-11T07:20:22.480918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2795
53.6%
1 7
 
0.1%
2 6
 
0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
7 2
 
< 0.1%
15 1
 
< 0.1%
3 1
 
< 0.1%
120 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 2394
45.9%
ValueCountFrequency (%)
0 2795
53.6%
1 7
 
0.1%
2 6
 
0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
15 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
1000 1
 
< 0.1%
120 1
 
< 0.1%
15 1
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
3 1
 
< 0.1%
2 6
0.1%
1 7
0.1%

공장사무직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14
Distinct (%)0.5%
Missing2340
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean2.5931082
Minimum0
Maximum6699
Zeros2726
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:22.559094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6699
Range6699
Interquartile range (IQR)0

Descriptive statistics

Standard deviation125.19637
Coefficient of variation (CV)48.280425
Kurtosis2852.8012
Mean2.5931082
Median Absolute Deviation (MAD)0
Skewness53.328124
Sum7450
Variance15674.131
MonotonicityNot monotonic
2023-12-11T07:20:22.644470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 2726
52.3%
1 80
 
1.5%
2 30
 
0.6%
5 10
 
0.2%
4 7
 
0.1%
3 7
 
0.1%
10 4
 
0.1%
7 3
 
0.1%
12 1
 
< 0.1%
15 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 2340
44.9%
ValueCountFrequency (%)
0 2726
52.3%
1 80
 
1.5%
2 30
 
0.6%
3 7
 
0.1%
4 7
 
0.1%
5 10
 
0.2%
7 3
 
0.1%
8 1
 
< 0.1%
10 4
 
0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
6699 1
 
< 0.1%
396 1
 
< 0.1%
20 1
 
< 0.1%
15 1
 
< 0.1%
12 1
 
< 0.1%
10 4
 
0.1%
8 1
 
< 0.1%
7 3
 
0.1%
5 10
0.2%
4 7
0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)0.6%
Missing2352
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean0.16917162
Minimum0
Maximum120
Zeros2770
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:22.756384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7779175
Coefficient of variation (CV)16.420706
Kurtosis1301.3745
Mean0.16917162
Median Absolute Deviation (MAD)0
Skewness33.347654
Sum484
Variance7.7168255
MonotonicityNot monotonic
2023-12-11T07:20:22.843605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 2770
53.1%
1 45
 
0.9%
2 14
 
0.3%
3 8
 
0.2%
5 7
 
0.1%
4 6
 
0.1%
6 2
 
< 0.1%
35 1
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
Other values (6) 6
 
0.1%
(Missing) 2352
45.1%
ValueCountFrequency (%)
0 2770
53.1%
1 45
 
0.9%
2 14
 
0.3%
3 8
 
0.2%
4 6
 
0.1%
5 7
 
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
120 1
< 0.1%
55 1
< 0.1%
47 1
< 0.1%
35 1
< 0.1%
18 1
< 0.1%
14 1
< 0.1%
12 1
< 0.1%
8 1
< 0.1%
7 1
< 0.1%
6 2
< 0.1%

공장생산직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)0.5%
Missing2380
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean0.10942464
Minimum0
Maximum45
Zeros2785
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:22.932066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3419669
Coefficient of variation (CV)12.263846
Kurtosis544.1322
Mean0.10942464
Median Absolute Deviation (MAD)0
Skewness20.564381
Sum310
Variance1.8008751
MonotonicityNot monotonic
2023-12-11T07:20:23.028311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 2785
53.4%
1 13
 
0.2%
3 8
 
0.2%
2 4
 
0.1%
4 4
 
0.1%
6 3
 
0.1%
7 3
 
0.1%
15 2
 
< 0.1%
11 2
 
< 0.1%
19 2
 
< 0.1%
Other values (5) 7
 
0.1%
(Missing) 2380
45.7%
ValueCountFrequency (%)
0 2785
53.4%
1 13
 
0.2%
2 4
 
0.1%
3 8
 
0.2%
4 4
 
0.1%
5 2
 
< 0.1%
6 3
 
0.1%
7 3
 
0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
25 1
 
< 0.1%
20 1
 
< 0.1%
19 2
< 0.1%
15 2
< 0.1%
11 2
< 0.1%
10 2
< 0.1%
7 3
0.1%
6 3
0.1%
5 2
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.9 KiB
<NA>
3106 
임대
1073 
자가
1034 

Length

Max length4
Median length4
Mean length3.1916363
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3106
59.6%
임대 1073
 
20.6%
자가 1034
 
19.8%

Length

2023-12-11T07:20:23.124184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:20:23.206598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3106
59.6%
임대 1073
 
20.6%
자가 1034
 
19.8%

보증액
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)1.3%
Missing4124
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean534894.4
Minimum0
Maximum1.5 × 108
Zeros1066
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:23.298253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.5 × 108
Range1.5 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6067305.9
Coefficient of variation (CV)11.342998
Kurtosis384.35987
Mean534894.4
Median Absolute Deviation (MAD)0
Skewness17.955358
Sum5.825 × 108
Variance3.68122 × 1013
MonotonicityNot monotonic
2023-12-11T07:20:23.408506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1066
 
20.4%
5000000 3
 
0.1%
20000000 3
 
0.1%
10000000 3
 
0.1%
30000000 3
 
0.1%
15000000 2
 
< 0.1%
2000000 2
 
< 0.1%
150000000 1
 
< 0.1%
7500000 1
 
< 0.1%
42000000 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 4124
79.1%
ValueCountFrequency (%)
0 1066
20.4%
1000000 1
 
< 0.1%
2000000 2
 
< 0.1%
3000000 1
 
< 0.1%
5000000 3
 
0.1%
7500000 1
 
< 0.1%
10000000 3
 
0.1%
15000000 2
 
< 0.1%
20000000 3
 
0.1%
30000000 3
 
0.1%
ValueCountFrequency (%)
150000000 1
 
< 0.1%
80000000 1
 
< 0.1%
70000000 1
 
< 0.1%
42000000 1
 
< 0.1%
30000000 3
0.1%
20000000 3
0.1%
15000000 2
< 0.1%
10000000 3
0.1%
7500000 1
 
< 0.1%
5000000 3
0.1%

월세액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct19
Distinct (%)1.7%
Missing4123
Missing (%)79.1%
Infinite0
Infinite (%)0.0%
Mean47469.798
Minimum0
Maximum20072000
Zeros1067
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:23.502297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20072000
Range20072000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation709803.38
Coefficient of variation (CV)14.952736
Kurtosis608.86747
Mean47469.798
Median Absolute Deviation (MAD)0
Skewness23.176103
Sum51742080
Variance5.0382084 × 1011
MonotonicityNot monotonic
2023-12-11T07:20:23.593480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 1067
 
20.5%
300000 3
 
0.1%
2000000 2
 
< 0.1%
1000000 2
 
< 0.1%
200000 2
 
< 0.1%
100000 1
 
< 0.1%
20072000 1
 
< 0.1%
80 1
 
< 0.1%
600000 1
 
< 0.1%
1200000 1
 
< 0.1%
Other values (9) 9
 
0.2%
(Missing) 4123
79.1%
ValueCountFrequency (%)
0 1067
20.5%
80 1
 
< 0.1%
50000 1
 
< 0.1%
100000 1
 
< 0.1%
120000 1
 
< 0.1%
200000 2
 
< 0.1%
300000 3
 
0.1%
400000 1
 
< 0.1%
450000 1
 
< 0.1%
600000 1
 
< 0.1%
ValueCountFrequency (%)
20072000 1
< 0.1%
8800000 1
< 0.1%
5550000 1
< 0.1%
5000000 1
< 0.1%
2000000 2
< 0.1%
1400000 1
< 0.1%
1200000 1
< 0.1%
1000000 2
< 0.1%
700000 1
< 0.1%
600000 1
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
False
5212 
True
 
1
ValueCountFrequency (%)
False 5212
> 99.9%
True 1
 
< 0.1%
2023-12-11T07:20:23.678320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct325
Distinct (%)13.0%
Missing2707
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean13.083144
Minimum0
Maximum2166.94
Zeros2112
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2023-12-11T07:20:23.762787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66
Maximum2166.94
Range2166.94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.671101
Coefficient of variation (CV)6.0131646
Kurtosis401.35534
Mean13.083144
Median Absolute Deviation (MAD)0
Skewness17.414688
Sum32786.36
Variance6189.1421
MonotonicityNot monotonic
2023-12-11T07:20:23.863225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2112
40.5%
66.0 7
 
0.1%
49.5 5
 
0.1%
3.0 4
 
0.1%
10.0 4
 
0.1%
35.0 4
 
0.1%
12.0 4
 
0.1%
8.0 4
 
0.1%
99.0 3
 
0.1%
20.0 3
 
0.1%
Other values (315) 356
 
6.8%
(Missing) 2707
51.9%
ValueCountFrequency (%)
0.0 2112
40.5%
1.12 1
 
< 0.1%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
2.0 1
 
< 0.1%
2.16 1
 
< 0.1%
2.2 1
 
< 0.1%
2.8 1
 
< 0.1%
2.94 1
 
< 0.1%
3.0 4
 
0.1%
ValueCountFrequency (%)
2166.94 1
< 0.1%
1884.0 1
< 0.1%
1434.02 1
< 0.1%
696.41 1
< 0.1%
620.0 1
< 0.1%
614.4 1
< 0.1%
558.98 1
< 0.1%
529.6 1
< 0.1%
399.9 1
< 0.1%
396.0 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5213
Missing (%)100.0%
Memory size45.9 KiB

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
0가평군가평키즈영업20210514경기도 가평군 가평읍 태평길 20, 1층경기도 가평군 가평읍 읍내리 357 ,1층12419<NA>37.82776127.516272<NA><NA><NA><NA><NA>84.96집단급식소 식품판매업245380.873689480702.822102집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
1가평군강원농산유통폐업20080513경기도 가평군 가평읍 불기산길 32-1경기도 가평군 가평읍 상색리 449번지12426031 582 120637.798602127.477087<NA>20120531<NA><NA><NA>33.30집단급식소 식품판매업241940.55698477466.152002집단급식소 식품판매업<NA><NA><NA><NA>지하수전용<NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
2가평군강원북부케어영업2023-09-21경기도 가평군 가평읍 연인2길 12-9, 2층경기도 가평군 가평읍 읍내리 461-23 2층12418<NA>37.830302127.511886<NA><NA><NA><NA><NA>116.33집단급식소 식품판매업244994.523245480981.149297집단급식소 식품판매업00<NA><NA><NA>00000임대00N<NA><NA><NA><NA>
3가평군농업회사법인그린푸드주식회사영업20160302경기도 가평군 가평읍 석봉로 100, 로컬푸드매장동 제6동 1층경기도 가평군 가평읍 대곡리 148-3 로컬푸드매장동, 1층 제6동12416031 582 836637.825029127.512931<NA><NA><NA><NA><NA>89.41집단급식소 식품판매업245091.336605480263.343009집단급식소 식품판매업00<NA><NA>상수도전용00000임대00N<NA><NA><NA><NA>
4가평군동원단체급식푸드시스템폐업20080502경기도 가평군 청평면 경춘로 834 (청평리)경기도 가평군 청평면 청평리 470-22번지12452031 595 381537.738823127.420117<NA>20100119<NA><NA><NA>29.67집단급식소 식품판매업236967.275828470797.121691집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
5가평군신흥상회영업20080514경기도 가평군 가평읍 오리나무길 10, 신흥상회 A동 1층경기도 가평군 가평읍 대곡리 234-13번지 A동 1층12420031 582 246837.826683127.514045<NA><NA><NA><NA><NA>81.42집단급식소 식품판매업245194.066364480589.651437집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N<NA><NA><NA><NA>
6가평군아이푸드가평폐업20160512경기도 가평군 가평읍 석봉로77번길 31, 1층경기도 가평군 가평읍 대곡리 379-9번지 , 1층12416031581 973837.822258127.510051<NA>20191112<NA><NA><NA>59.20집단급식소 식품판매업244844.453485480096.670636집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
7가평군에스원푸드폐업20160322경기도 가평군 가평읍 보납로 29경기도 가평군 가평읍 읍내리 433-212412031 582920037.831212127.513705<NA>20201026<NA><NA><NA>73.93집단급식소 식품판매업245151.861292481084.453435집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA>12<NA><NA><NA>N<NA><NA><NA><NA>
8가평군형제유통폐업20080428경기도 가평군 가평읍 연인길 13경기도 가평군 가평읍 읍내리 337-1번지12418031 582 105537.828066127.512805<NA>20181205<NA><NA><NA>66.00집단급식소 식품판매업245082.218936480742.599794집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N<NA><NA><NA><NA>
9고양시(유)백옥유기농폐업20090727경기도 고양시 일산동구 성석로 112 B동 1층 일부 (성석동)경기도 고양시 일산동구 성석동 873-6번지 B동 1층 일부10318031 638664037.688151126.795874<NA>20100507<NA><NA><NA>110.00집단급식소 식품판매업181931.83722465111.805737집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
5203화성시행복푸드폐업2012-10-12경기도 화성시 매송면 화성로2567번길 20 (1층)경기도 화성시 매송면 천천리 189-1 1층18290<NA>37.245193126.945484<NA>2023-05-26<NA><NA><NA>48.96집단급식소 식품판매업195101.966776415922.880483집단급식소 식품판매업00<NA><NA><NA>00000임대00N<NA><NA><NA><NA>
5204화성시행복한밥상협동조합영업2022-07-21경기도 화성시 동탄첨단산업1로 27, 금강펜테리움 IX타워 근린생활시설동 지1층 MB56 일부호 (영천동)경기도 화성시 영천동 823-6 금강펜테리움 IX타워 지1층 MB56 근린생활시설동 일부호18469<NA>37.211022127.089518<NA><NA><NA><NA><NA>8.00집단급식소 식품판매업207902.474797412102.059482집단급식소 식품판매업00<NA><NA>상수도전용00000자가00N<NA><NA><NA><NA>
5205화성시행복한푸드폐업20130422경기도 화성시 병점동로148번길 13, 1층 (진안동)경기도 화성시 진안동 854-1718392<NA>37.217062127.038225<NA>20160407<NA><NA><NA>26.80집단급식소 식품판매업203323.826851412797.262394집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5206화성시허브앤올리브폐업20190607경기도 화성시 동탄산단8길 24, 1동 105호 (방교동)경기도 화성시 방교동 833-3 1동 105호18487<NA>37.172261127.089581<NA>20200710<NA><NA><NA>57.20집단급식소 식품판매업207884.533557407819.355847집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5207화성시헬스앤케어수원TMS폐업20170824경기도 화성시 경기대로1200번길 93, 1층 일부호 (반정동)경기도 화성시 반정동 401-318373031 224 591937.227458127.034565<NA>20200515<NA><NA><NA>63.00집단급식소 식품판매업202996.637478413950.658052집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5208화성시현대유통폐업20090414경기도 화성시 태안로 323-20 (황계동,(1층))경기도 화성시 황계동 102-36 (1층)18358<NA>37.215959127.021528<NA>20130325<NA><NA><NA>180.00집단급식소 식품판매업201846.444649412671.17467집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
5209화성시혜안유통폐업20150515경기도 화성시 안녕길24번길 15-2, 1층 (안녕동)경기도 화성시 안녕동 180-217 1층18326<NA>37.203765126.987674<NA>20190319<NA><NA><NA>117.14집단급식소 식품판매업198835.457734411331.070696집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5210화성시화성유기영농조합법인폐업20080717경기도 화성시 금곡로210번길 45-42경기도 화성시 금곡동 241-2 외2필지 (1동)18511031 375 621237.183163127.082785<NA>20081024<NA><NA><NA>195.00집단급식소 식품판매업207257.563228408963.690822집단급식소 식품판매업<NA><NA><NA><NA>지하수전용<NA><NA><NA><NA><NA>임대<NA><NA>N<NA><NA><NA><NA>
5211화성시화성유통폐업20170808경기도 화성시 봉담읍 쇠틀길 62 (1동 1층일부)경기도 화성시 봉담읍 수기리 59-5 1동 1층일부18327031 223390637.200704126.976088<NA>20181227<NA><NA><NA>59.70집단급식소 식품판매업197813.637647410993.403827집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5212화성시화성키즈영업20080828경기도 화성시 여울로*길 **-*, ***호 (능동)경기도 화성시 능동 ****-* ***호<NA>031 80159151<NA><NA><NA><NA><NA><NA><NA>27.20집단급식소 식품판매업204973.313749412837.778546집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도폐업일자소재지면적업태구분명X좌표값Y좌표값위생업태명남성종사자수여성종사자수급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모# duplicates
0군포시명가푸드폐업2019-10-15경기도 군포시 당산로125번길 7, 1층 일부호 (금정동)경기도 군포시 금정동 762-9 1층 일부호15831031 388 995237.36236126.9447362023-04-0631.94집단급식소 식품판매업195035.012069428924.166645집단급식소 식품판매업00상수도전용00000임대00N<NA>2
1시흥시푸드스토어폐업20130321경기도 시흥시 신천로83번길 19-1, 1층 (신천동)경기도 시흥시 신천동 842-4번지 1층14949<NA>37.437656126.7836282015122833.00집단급식소 식품판매업180785.288342437312.067397집단급식소 식품판매업<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.02
2파주시주식회사엔에이치폐업2018-12-28경기도 파주시 파주읍 봉암길 9, 1층일부경기도 파주시 파주읍 봉암리 391-110838<NA>37.830071126.7910922023-01-3199.00집단급식소 식품판매업181526.308596480854.790039집단급식소 식품판매업00<NA>00000<NA>00N<NA>2