Overview

Dataset statistics

Number of variables36
Number of observations7821
Missing cells95238
Missing cells (%)33.8%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory2.3 MiB
Average record size in memory309.0 B

Variable types

Categorical14
DateTime2
Text4
Unsupported5
Numeric10
Boolean1

Dataset

Description위탁급식 영업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YAHRQFNP1Y9IBDOLGJMC14281250&infSeq=1

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
통합영업상태명 is highly imbalanced (60.8%)Imbalance
위생업태명 is highly imbalanced (80.0%)Imbalance
영업장주변구분명 is highly imbalanced (71.0%)Imbalance
등급구분명 is highly imbalanced (88.1%)Imbalance
본사종업원수 is highly imbalanced (54.5%)Imbalance
공장사무소종업원수 is highly imbalanced (54.5%)Imbalance
공장판매직종업원수 is highly imbalanced (54.5%)Imbalance
공장생산직종업원수 is highly imbalanced (54.5%)Imbalance
보증액 is highly imbalanced (54.5%)Imbalance
월세액 is highly imbalanced (54.5%)Imbalance
다중이용업소여부 is highly imbalanced (99.2%)Imbalance
인허가취소일자 has 7821 (100.0%) missing valuesMissing
폐업일자 has 3250 (41.6%) missing valuesMissing
소재지시설전화번호 has 7357 (94.1%) missing valuesMissing
소재지면적(㎡) has 6958 (89.0%) missing valuesMissing
소재지도로명주소 has 781 (10.0%) missing valuesMissing
소재지우편번호 has 396 (5.1%) missing valuesMissing
WGS84위도 has 401 (5.1%) missing valuesMissing
WGS84경도 has 401 (5.1%) missing valuesMissing
X좌표값 has 6944 (88.8%) missing valuesMissing
Y좌표값 has 6944 (88.8%) missing valuesMissing
남성종사자수(명) has 5206 (66.6%) missing valuesMissing
여성종사자수(명) has 5110 (65.3%) missing valuesMissing
총종업원수 has 5244 (67.1%) missing valuesMissing
건물소유구분명 has 7821 (100.0%) missing valuesMissing
다중이용업소여부 has 243 (3.1%) missing valuesMissing
시설총규모 has 6897 (88.2%) missing valuesMissing
전통업소지정번호 has 7821 (100.0%) missing valuesMissing
전통업소주된음식 has 7821 (100.0%) missing valuesMissing
홈페이지URL has 7821 (100.0%) missing valuesMissing
남성종사자수(명) is highly skewed (γ1 = 50.65290615)Skewed
여성종사자수(명) is highly skewed (γ1 = 20.41914536)Skewed
총종업원수 is highly skewed (γ1 = 42.05483677)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 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
홈페이지URL is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수(명) has 2480 (31.7%) zerosZeros
여성종사자수(명) has 2377 (30.4%) zerosZeros
총종업원수 has 2353 (30.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:04:03.128997
Analysis finished2023-12-10 21:04:05.220489
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
안산시
1039 
화성시
788 
평택시
745 
용인시
643 
성남시
512 
Other values (26)
4094 

Length

Max length4
Median length3
Mean length3.0269786
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 1039
13.3%
화성시 788
 
10.1%
평택시 745
 
9.5%
용인시 643
 
8.2%
성남시 512
 
6.5%
수원시 425
 
5.4%
시흥시 400
 
5.1%
안성시 378
 
4.8%
부천시 337
 
4.3%
파주시 311
 
4.0%
Other values (21) 2243
28.7%

Length

2023-12-11T06:04:05.345949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 1039
13.3%
화성시 788
 
10.1%
평택시 745
 
9.5%
용인시 643
 
8.2%
성남시 512
 
6.5%
수원시 425
 
5.4%
시흥시 400
 
5.1%
안성시 378
 
4.8%
부천시 337
 
4.3%
파주시 311
 
4.0%
Other values (21) 2243
28.7%

인허가일자
Date

Distinct3347
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
Minimum2003-05-20 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:04:05.533114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:05.721824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장명
Text

Distinct7154
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-11T06:04:06.039488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length12.710651
Min length2

Characters and Unicode

Total characters99410
Distinct characters738
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

Unique6722 ?
Unique (%)85.9%

Sample

1st row씨제이프레시웨이(주)아난티가평점펜트하우스
2nd row씨제이프레시웨이(주)아난티가평점클럽하우스
3rd row(주)아워홈 광릉한샘기숙학원
4th row푸드원코리아
5th row(주)현대그린푸드 청평연수원지점
ValueCountFrequency (%)
주)아워홈 257
 
2.4%
구내식당 156
 
1.4%
주식회사 121
 
1.1%
주)신세계푸드 100
 
0.9%
주)동원홈푸드 95
 
0.9%
주)현대그린푸드 62
 
0.6%
풀무원푸드앤컬처 56
 
0.5%
주)이씨엠디 49
 
0.5%
씨제이프레시웨이(주 48
 
0.4%
주)진주랑 42
 
0.4%
Other values (7683) 9851
90.9%
2023-12-11T06:04:06.591196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 6147
 
6.2%
( 6109
 
6.1%
주 5705
 
5.7%
3025
 
3.0%
드 3000
 
3.0%
푸 2559
 
2.6%
점 2532
 
2.5%
스 2528
 
2.5%
이 1970
 
2.0%
식 1790
 
1.8%
Other values (728) 64045
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81824
82.3%
Close Punctuation 6163
 
6.2%
Open Punctuation 6125
 
6.2%
Space Separator 3025
 
3.0%
Uppercase Letter 1441
 
1.4%
Decimal Number 363
 
0.4%
Other Punctuation 224
 
0.2%
Lowercase Letter 176
 
0.2%
Dash Punctuation 63
 
0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5705
 
7.0%
드 3000
 
3.7%
푸 2559
 
3.1%
점 2532
 
3.1%
스 2528
 
3.1%
이 1970
 
2.4%
식 1790
 
2.2%
원 1602
 
2.0%
아 1378
 
1.7%
에 1274
 
1.6%
Other values (653) 57486
70.3%
Uppercase Letter
ValueCountFrequency (%)
C 242
16.8%
S 190
13.2%
F 104
 
7.2%
K 103
 
7.1%
J 97
 
6.7%
D 91
 
6.3%
M 72
 
5.0%
T 68
 
4.7%
G 59
 
4.1%
L 58
 
4.0%
Other values (16) 357
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 33
18.8%
a 29
16.5%
r 16
9.1%
i 15
8.5%
t 15
8.5%
f 15
8.5%
o 11
 
6.2%
h 5
 
2.8%
b 5
 
2.8%
k 5
 
2.8%
Other values (11) 27
15.3%
Decimal Number
ValueCountFrequency (%)
2 133
36.6%
1 123
33.9%
3 38
 
10.5%
4 17
 
4.7%
6 13
 
3.6%
0 12
 
3.3%
5 10
 
2.8%
7 8
 
2.2%
8 6
 
1.7%
9 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 67
29.9%
/ 49
21.9%
: 44
19.6%
& 43
19.2%
, 11
 
4.9%
· 5
 
2.2%
; 4
 
1.8%
＆ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 6147
99.7%
] 15
 
0.2%
} 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 6109
99.7%
[ 15
 
0.2%
{ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3025
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81827
82.3%
Common 15965
 
16.1%
Latin 1617
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5705
 
7.0%
드 3000
 
3.7%
푸 2559
 
3.1%
점 2532
 
3.1%
스 2528
 
3.1%
이 1970
 
2.4%
식 1790
 
2.2%
원 1602
 
2.0%
아 1378
 
1.7%
에 1274
 
1.6%
Other values (653) 57489
70.3%
Latin
ValueCountFrequency (%)
C 242
15.0%
S 190
 
11.8%
F 104
 
6.4%
K 103
 
6.4%
J 97
 
6.0%
D 91
 
5.6%
M 72
 
4.5%
T 68
 
4.2%
G 59
 
3.6%
L 58
 
3.6%
Other values (37) 533
33.0%
Common
ValueCountFrequency (%)
) 6147
38.5%
( 6109
38.3%
3025
18.9%
2 133
 
0.8%
1 123
 
0.8%
. 67
 
0.4%
- 63
 
0.4%
/ 49
 
0.3%
: 44
 
0.3%
& 43
 
0.3%
Other values (17) 162
 
1.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81823
82.3%
ASCII 17576
 
17.7%
None 10
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 6147
35.0%
( 6109
34.8%
3025
17.2%
C 242
 
1.4%
S 190
 
1.1%
2 133
 
0.8%
1 123
 
0.7%
F 104
 
0.6%
K 103
 
0.6%
J 97
 
0.6%
Other values (62) 1303
 
7.4%
Hangul
ValueCountFrequency (%)
주 5705
 
7.0%
드 3000
 
3.7%
푸 2559
 
3.1%
점 2532
 
3.1%
스 2528
 
3.1%
이 1970
 
2.4%
식 1790
 
2.2%
원 1602
 
2.0%
아 1378
 
1.7%
에 1274
 
1.6%
Other values (652) 57485
70.3%
None
ValueCountFrequency (%)
· 5
50.0%
㈜ 4
40.0%
＆ 1
 
10.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7821
Missing (%)100.0%
Memory size68.9 KiB

통합영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
6897 
영업/정상
 
687
폐업
 
237

Length

Max length5
Median length4
Mean length4.0272344
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6897
88.2%
영업/정상 687
 
8.8%
폐업 237
 
3.0%

Length

2023-12-11T06:04:06.740201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:06.866390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6897
88.2%
영업/정상 687
 
8.8%
폐업 237
 
3.0%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
폐업 등
4334 
운영중
2563 
영업
687 
폐업
 
237

Length

Max length4
Median length4
Mean length3.4360056
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 4334
55.4%
운영중 2563
32.8%
영업 687
 
8.8%
폐업 237
 
3.0%

Length

2023-12-11T06:04:07.034944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:07.228143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 4571
37.6%
등 4334
35.7%
운영중 2563
21.1%
영업 687
 
5.7%

폐업일자
Date

MISSING 

Distinct2377
Distinct (%)52.0%
Missing3250
Missing (%)41.6%
Memory size61.2 KiB
Minimum2003-07-16 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:04:07.399168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:07.598909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct376
Distinct (%)81.0%
Missing7357
Missing (%)94.1%
Memory size61.2 KiB
2023-12-11T06:04:07.918466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.424569
Min length8

Characters and Unicode

Total characters5301
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

Unique334 ?
Unique (%)72.0%

Sample

1st row02 69669501
2nd row02 21496619
3rd row031 909 2824
4th row031 910 0906
5th row031 9238922
ValueCountFrequency (%)
031 224
 
21.6%
02 103
 
9.9%
070 16
 
1.5%
032 11
 
1.1%
32788000 9
 
0.9%
4033 7
 
0.7%
34007696 7
 
0.7%
69669285 7
 
0.7%
662 7
 
0.7%
042 6
 
0.6%
Other values (502) 641
61.8%
2023-12-11T06:04:08.406586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 933
17.6%
653
12.3%
3 629
11.9%
1 568
10.7%
2 530
10.0%
5 355
 
6.7%
6 340
 
6.4%
8 332
 
6.3%
9 331
 
6.2%
7 319
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4648
87.7%
Space Separator 653
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 933
20.1%
3 629
13.5%
1 568
12.2%
2 530
11.4%
5 355
 
7.6%
6 340
 
7.3%
8 332
 
7.1%
9 331
 
7.1%
7 319
 
6.9%
4 311
 
6.7%
Space Separator
ValueCountFrequency (%)
653
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 933
17.6%
653
12.3%
3 629
11.9%
1 568
10.7%
2 530
10.0%
5 355
 
6.7%
6 340
 
6.4%
8 332
 
6.3%
9 331
 
6.2%
7 319
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 933
17.6%
653
12.3%
3 629
11.9%
1 568
10.7%
2 530
10.0%
5 355
 
6.7%
6 340
 
6.4%
8 332
 
6.3%
9 331
 
6.2%
7 319
 
6.0%

소재지면적(㎡)
Real number (ℝ)

MISSING 

Distinct722
Distinct (%)83.7%
Missing6958
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean428.77291
Minimum0
Maximum16338
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:08.594165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.752
Q186.1
median225.06
Q3450.1
95-th percentile1583.986
Maximum16338
Range16338
Interquartile range (IQR)364

Descriptive statistics

Standard deviation855.03991
Coefficient of variation (CV)1.9941556
Kurtosis147.88731
Mean428.77291
Median Absolute Deviation (MAD)157.86
Skewness9.5804987
Sum370031.02
Variance731093.24
MonotonicityNot monotonic
2023-12-11T06:04:08.782873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6 11
 
0.1%
0.0 9
 
0.1%
165.0 5
 
0.1%
168.0 5
 
0.1%
9.9 5
 
0.1%
3.3 5
 
0.1%
230.0 4
 
0.1%
10.0 4
 
0.1%
60.0 3
 
< 0.1%
252.0 3
 
< 0.1%
Other values (712) 809
 
10.3%
(Missing) 6958
89.0%
ValueCountFrequency (%)
0.0 9
0.1%
1.8 1
 
< 0.1%
3.3 5
0.1%
3.4 1
 
< 0.1%
3.43 1
 
< 0.1%
3.6 1
 
< 0.1%
3.92 1
 
< 0.1%
4.0 2
 
< 0.1%
4.95 1
 
< 0.1%
5.35 1
 
< 0.1%
ValueCountFrequency (%)
16338.0 1
< 0.1%
6271.5 1
< 0.1%
5775.0 1
< 0.1%
5377.18 1
< 0.1%
5306.84 1
< 0.1%
5167.77 1
< 0.1%
4679.73 2
< 0.1%
3916.0 1
< 0.1%
3616.23 1
< 0.1%
3008.88 1
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct5789
Distinct (%)82.2%
Missing781
Missing (%)10.0%
Memory size61.2 KiB
2023-12-11T06:04:09.146768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length55
Mean length28.027131
Min length13

Characters and Unicode

Total characters197311
Distinct characters644
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

Unique4817 ?
Unique (%)68.4%

Sample

1st row경기도 가평군 설악면 유명로 1007-90, 주차장동 지하1층
2nd row경기도 가평군 설악면 유명로 961-34, 클럽하우스동 지하2층
3rd row경기도 가평군 조종면 명지산로 540, 1층 광릉한샘기숙학원
4th row경기도 가평군 북면 백둔로 441
5th row경기도 가평군 청평면 고재길 33, 1층
ValueCountFrequency (%)
경기도 7042
 
16.3%
안산시 1010
 
2.3%
단원구 919
 
2.1%
1층 801
 
1.9%
화성시 725
 
1.7%
평택시 645
 
1.5%
용인시 588
 
1.4%
성남시 468
 
1.1%
지하1층 394
 
0.9%
2층 386
 
0.9%
Other values (6177) 30279
70.0%
2023-12-11T06:04:09.711262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36302
 
18.4%
시 7767
 
3.9%
기 7705
 
3.9%
경 7379
 
3.7%
도 7345
 
3.7%
1 7018
 
3.6%
로 6384
 
3.2%
동 5135
 
2.6%
2 4474
 
2.3%
) 4115
 
2.1%
Other values (634) 103687
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116370
59.0%
Space Separator 36302
 
18.4%
Decimal Number 30298
 
15.4%
Close Punctuation 4116
 
2.1%
Open Punctuation 4115
 
2.1%
Other Punctuation 3694
 
1.9%
Dash Punctuation 1522
 
0.8%
Uppercase Letter 686
 
0.3%
Lowercase Letter 166
 
0.1%
Math Symbol 37
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7767
 
6.7%
기 7705
 
6.6%
경 7379
 
6.3%
도 7345
 
6.3%
로 6384
 
5.5%
동 5135
 
4.4%
구 3210
 
2.8%
층 2848
 
2.4%
길 2578
 
2.2%
산 2490
 
2.1%
Other values (556) 63529
54.6%
Uppercase Letter
ValueCountFrequency (%)
A 147
21.4%
B 136
19.8%
C 76
11.1%
D 36
 
5.2%
S 34
 
5.0%
E 32
 
4.7%
K 24
 
3.5%
T 24
 
3.5%
I 21
 
3.1%
L 21
 
3.1%
Other values (16) 135
19.7%
Lowercase Letter
ValueCountFrequency (%)
o 20
12.0%
e 19
11.4%
t 15
 
9.0%
a 14
 
8.4%
c 10
 
6.0%
i 10
 
6.0%
r 10
 
6.0%
n 9
 
5.4%
s 9
 
5.4%
p 9
 
5.4%
Other values (11) 41
24.7%
Decimal Number
ValueCountFrequency (%)
1 7018
23.2%
2 4474
14.8%
3 3265
10.8%
4 2713
 
9.0%
5 2588
 
8.5%
6 2230
 
7.4%
7 2212
 
7.3%
0 2068
 
6.8%
8 1896
 
6.3%
9 1834
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 3662
99.1%
& 12
 
0.3%
. 12
 
0.3%
/ 4
 
0.1%
＆ 2
 
0.1%
· 1
 
< 0.1%
* 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 15
40.5%
> 11
29.7%
< 11
29.7%
Other Symbol
ValueCountFrequency (%)
㈜ 1
33.3%
ⓒ 1
33.3%
ⓐ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 4115
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4114
> 99.9%
[ 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
⑪ 1
50.0%
⑦ 1
50.0%
Space Separator
ValueCountFrequency (%)
36302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1522
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116370
59.0%
Common 80088
40.6%
Latin 852
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7767
 
6.7%
기 7705
 
6.6%
경 7379
 
6.3%
도 7345
 
6.3%
로 6384
 
5.5%
동 5135
 
4.4%
구 3210
 
2.8%
층 2848
 
2.4%
길 2578
 
2.2%
산 2490
 
2.1%
Other values (556) 63529
54.6%
Latin
ValueCountFrequency (%)
A 147
17.3%
B 136
16.0%
C 76
 
8.9%
D 36
 
4.2%
S 34
 
4.0%
E 32
 
3.8%
K 24
 
2.8%
T 24
 
2.8%
I 21
 
2.5%
L 21
 
2.5%
Other values (37) 301
35.3%
Common
ValueCountFrequency (%)
36302
45.3%
1 7018
 
8.8%
2 4474
 
5.6%
) 4115
 
5.1%
( 4114
 
5.1%
, 3662
 
4.6%
3 3265
 
4.1%
4 2713
 
3.4%
5 2588
 
3.2%
6 2230
 
2.8%
Other values (20) 9607
 
12.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116367
59.0%
ASCII 80933
41.0%
None 4
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36302
44.9%
1 7018
 
8.7%
2 4474
 
5.5%
) 4115
 
5.1%
( 4114
 
5.1%
, 3662
 
4.5%
3 3265
 
4.0%
4 2713
 
3.4%
5 2588
 
3.2%
6 2230
 
2.8%
Other values (61) 10452
 
12.9%
Hangul
ValueCountFrequency (%)
시 7767
 
6.7%
기 7705
 
6.6%
경 7379
 
6.3%
도 7345
 
6.3%
로 6384
 
5.5%
동 5135
 
4.4%
구 3210
 
2.8%
층 2848
 
2.4%
길 2578
 
2.2%
산 2490
 
2.1%
Other values (554) 63526
54.6%
Compat Jamo
ValueCountFrequency (%)
ㅂ 2
100.0%
None
ValueCountFrequency (%)
＆ 2
50.0%
· 1
25.0%
㈜ 1
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 1
25.0%
⑪ 1
25.0%
⑦ 1
25.0%
ⓐ 1
25.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

소재지지번주소
Text

Distinct6749
Distinct (%)86.3%
Missing1
Missing (%)< 0.1%
Memory size61.2 KiB
2023-12-11T06:04:10.363007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length60
Mean length26.595013
Min length3

Characters and Unicode

Total characters207973
Distinct characters613
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5951 ?
Unique (%)76.1%

Sample

1st row경기도 가평군 설악면 방일리 653-4 지하1층 주차장동
2nd row경기도 가평군 설악면 방일리 산 90-2 클럽하우스동 지하2층
3rd row경기도 가평군 조종면 상판리 136-1
4th row경기도 가평군 북면 백둔리 357번지
5th row경기도 가평군 청평면 고성리 410-1번지 1층
ValueCountFrequency (%)
경기도 7822
 
17.3%
안산시 1039
 
2.3%
단원구 947
 
2.1%
화성시 788
 
1.7%
평택시 745
 
1.6%
1층 644
 
1.4%
용인시 643
 
1.4%
성남시 512
 
1.1%
수원시 425
 
0.9%
지하1층 402
 
0.9%
Other values (7904) 31214
69.1%
2023-12-11T06:04:10.950291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38296
 
18.4%
지 9091
 
4.4%
시 8598
 
4.1%
기 8305
 
4.0%
도 8129
 
3.9%
1 7971
 
3.8%
경 7911
 
3.8%
번 6914
 
3.3%
동 6840
 
3.3%
- 5239
 
2.5%
Other values (603) 100679
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126841
61.0%
Space Separator 38297
 
18.4%
Decimal Number 34486
 
16.6%
Dash Punctuation 5239
 
2.5%
Uppercase Letter 894
 
0.4%
Close Punctuation 824
 
0.4%
Open Punctuation 822
 
0.4%
Other Punctuation 413
 
0.2%
Lowercase Letter 136
 
0.1%
Math Symbol 14
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9091
 
7.2%
시 8598
 
6.8%
기 8305
 
6.5%
도 8129
 
6.4%
경 7911
 
6.2%
번 6914
 
5.5%
동 6840
 
5.4%
구 3567
 
2.8%
리 2704
 
2.1%
층 2509
 
2.0%
Other values (526) 62273
49.1%
Uppercase Letter
ValueCountFrequency (%)
A 208
23.3%
B 187
20.9%
C 83
 
9.3%
L 51
 
5.7%
S 41
 
4.6%
D 40
 
4.5%
E 37
 
4.1%
K 33
 
3.7%
T 29
 
3.2%
I 27
 
3.0%
Other values (16) 158
17.7%
Lowercase Letter
ValueCountFrequency (%)
o 18
13.2%
e 15
11.0%
t 13
 
9.6%
a 9
 
6.6%
c 8
 
5.9%
n 8
 
5.9%
s 8
 
5.9%
r 8
 
5.9%
i 7
 
5.1%
y 6
 
4.4%
Other values (11) 36
26.5%
Decimal Number
ValueCountFrequency (%)
1 7971
23.1%
2 4456
12.9%
3 3679
10.7%
4 3376
9.8%
6 3006
 
8.7%
5 2896
 
8.4%
0 2571
 
7.5%
7 2528
 
7.3%
8 2100
 
6.1%
9 1903
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 338
81.8%
. 48
 
11.6%
/ 12
 
2.9%
& 11
 
2.7%
# 1
 
0.2%
※ 1
 
0.2%
· 1
 
0.2%
＆ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
㈜ 1
33.3%
ⓒ 1
33.3%
ⓐ 1
33.3%
Space Separator
ValueCountFrequency (%)
38296
> 99.9%
　 1
 
< 0.1%
Other Number
ValueCountFrequency (%)
⑪ 1
50.0%
⑦ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 822
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126841
61.0%
Common 80101
38.5%
Latin 1030
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9091
 
7.2%
시 8598
 
6.8%
기 8305
 
6.5%
도 8129
 
6.4%
경 7911
 
6.2%
번 6914
 
5.5%
동 6840
 
5.4%
구 3567
 
2.8%
리 2704
 
2.1%
층 2509
 
2.0%
Other values (526) 62273
49.1%
Latin
ValueCountFrequency (%)
A 208
20.2%
B 187
18.2%
C 83
 
8.1%
L 51
 
5.0%
S 41
 
4.0%
D 40
 
3.9%
E 37
 
3.6%
K 33
 
3.2%
T 29
 
2.8%
I 27
 
2.6%
Other values (37) 294
28.5%
Common
ValueCountFrequency (%)
38296
47.8%
1 7971
 
10.0%
- 5239
 
6.5%
2 4456
 
5.6%
3 3679
 
4.6%
4 3376
 
4.2%
6 3006
 
3.8%
5 2896
 
3.6%
0 2571
 
3.2%
7 2528
 
3.2%
Other values (19) 6083
 
7.6%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126838
61.0%
ASCII 81123
39.0%
None 4
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38296
47.2%
1 7971
 
9.8%
- 5239
 
6.5%
2 4456
 
5.5%
3 3679
 
4.5%
4 3376
 
4.2%
6 3006
 
3.7%
5 2896
 
3.6%
0 2571
 
3.2%
7 2528
 
3.1%
Other values (58) 7105
 
8.8%
Hangul
ValueCountFrequency (%)
지 9091
 
7.2%
시 8598
 
6.8%
기 8305
 
6.5%
도 8129
 
6.4%
경 7911
 
6.2%
번 6914
 
5.5%
동 6840
 
5.4%
구 3567
 
2.8%
리 2704
 
2.1%
층 2509
 
2.0%
Other values (524) 62270
49.1%
Compat Jamo
ValueCountFrequency (%)
ㅂ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
None
ValueCountFrequency (%)
· 1
25.0%
　 1
25.0%
＆ 1
25.0%
㈜ 1
25.0%
CJK
ValueCountFrequency (%)
內 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑪ 1
25.0%
⑦ 1
25.0%
ⓒ 1
25.0%
ⓐ 1
25.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct1819
Distinct (%)24.5%
Missing396
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean15374.447
Minimum10011
Maximum18635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:11.127794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10503
Q113615
median15603
Q317529
95-th percentile18522
Maximum18635
Range8624
Interquartile range (IQR)3914

Descriptive statistics

Standard deviation2444.2476
Coefficient of variation (CV)0.15898118
Kurtosis-0.66716965
Mean15374.447
Median Absolute Deviation (MAD)1940
Skewness-0.6072298
Sum1.1415527 × 108
Variance5974346.5
MonotonicityNot monotonic
2023-12-11T06:04:11.287189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15429 61
 
0.8%
17792 50
 
0.6%
17118 47
 
0.6%
15434 44
 
0.6%
15608 38
 
0.5%
10881 37
 
0.5%
18622 37
 
0.5%
17843 36
 
0.5%
15423 36
 
0.5%
17709 35
 
0.4%
Other values (1809) 7004
89.6%
(Missing) 396
 
5.1%
ValueCountFrequency (%)
10011 8
0.1%
10016 2
 
< 0.1%
10017 2
 
< 0.1%
10018 1
 
< 0.1%
10020 5
0.1%
10022 1
 
< 0.1%
10023 3
 
< 0.1%
10024 2
 
< 0.1%
10025 2
 
< 0.1%
10029 4
0.1%
ValueCountFrequency (%)
18635 5
0.1%
18634 2
 
< 0.1%
18631 7
0.1%
18630 3
 
< 0.1%
18629 2
 
< 0.1%
18628 8
0.1%
18627 9
0.1%
18626 1
 
< 0.1%
18625 3
 
< 0.1%
18624 10
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct4411
Distinct (%)59.4%
Missing401
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean37.332376
Minimum36.93703
Maximum38.073339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:11.482561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.93703
5-th percentile37.010607
Q137.194111
median37.311858
Q337.414754
95-th percentile37.755766
Maximum38.073339
Range1.1363095
Interquartile range (IQR)0.22064306

Descriptive statistics

Standard deviation0.2169037
Coefficient of variation (CV)0.0058100694
Kurtosis0.20089602
Mean37.332376
Median Absolute Deviation (MAD)0.11230658
Skewness0.65726667
Sum277006.23
Variance0.047047213
MonotonicityNot monotonic
2023-12-11T06:04:11.631608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2950659395 13
 
0.2%
37.873806699 12
 
0.2%
37.2580668551 10
 
0.1%
37.0289362455 10
 
0.1%
37.3167670968 9
 
0.1%
37.3002840348 9
 
0.1%
37.039269468 9
 
0.1%
37.2833457572 8
 
0.1%
37.2529797883 8
 
0.1%
37.1253644523 8
 
0.1%
Other values (4401) 7324
93.6%
(Missing) 401
 
5.1%
ValueCountFrequency (%)
36.9370295505 1
 
< 0.1%
36.9378160852 2
< 0.1%
36.9396883663 1
 
< 0.1%
36.9420914023 1
 
< 0.1%
36.9423163206 1
 
< 0.1%
36.9433626437 3
< 0.1%
36.9441777641 1
 
< 0.1%
36.9445487055 2
< 0.1%
36.9506021366 3
< 0.1%
36.9519013346 4
0.1%
ValueCountFrequency (%)
38.0733390604 1
< 0.1%
38.0684434884 2
< 0.1%
38.0607767605 2
< 0.1%
38.0235512237 1
< 0.1%
38.009168903 1
< 0.1%
38.002476542 1
< 0.1%
38.0016571511 2
< 0.1%
37.9742518697 1
< 0.1%
37.9716860399 1
< 0.1%
37.9708371377 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct4411
Distinct (%)59.4%
Missing401
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean126.98925
Minimum126.53893
Maximum127.74341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:11.775378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53893
5-th percentile126.71972
Q1126.79022
median126.97494
Q3127.11663
95-th percentile127.40144
Maximum127.74341
Range1.204479
Interquartile range (IQR)0.32640245

Descriptive statistics

Standard deviation0.21328217
Coefficient of variation (CV)0.0016795294
Kurtosis-0.0051378768
Mean126.98925
Median Absolute Deviation (MAD)0.16632572
Skewness0.60524574
Sum942260.21
Variance0.045489284
MonotonicityNot monotonic
2023-12-11T06:04:11.942044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9749378412 13
 
0.2%
127.1575578525 12
 
0.2%
127.0453833911 10
 
0.1%
127.0950644585 10
 
0.1%
126.873993316 9
 
0.1%
126.8349204501 9
 
0.1%
126.7889762486 9
 
0.1%
127.0464761597 8
 
0.1%
127.4806834787 8
 
0.1%
127.0906225003 8
 
0.1%
Other values (4401) 7324
93.6%
(Missing) 401
 
5.1%
ValueCountFrequency (%)
126.538933301 1
 
< 0.1%
126.5459487169 3
< 0.1%
126.54660312 1
 
< 0.1%
126.5522087631 2
< 0.1%
126.55587178 1
 
< 0.1%
126.5561823996 1
 
< 0.1%
126.5599801484 2
< 0.1%
126.5671177405 2
< 0.1%
126.5675452515 2
< 0.1%
126.5686768408 1
 
< 0.1%
ValueCountFrequency (%)
127.7434122913 1
 
< 0.1%
127.7393866828 1
 
< 0.1%
127.7265930476 2
< 0.1%
127.7014405714 1
 
< 0.1%
127.7004348715 1
 
< 0.1%
127.6995827326 1
 
< 0.1%
127.6981639156 1
 
< 0.1%
127.6959380688 3
< 0.1%
127.6913745235 1
 
< 0.1%
127.6686207363 1
 
< 0.1%

업태구분명정보
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
6897 
위탁급식영업
924 

Length

Max length6
Median length4
Mean length4.2362869
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6897
88.2%
위탁급식영업 924
 
11.8%

Length

2023-12-11T06:04:12.103574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:12.220164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6897
88.2%
위탁급식영업 924
 
11.8%

X좌표값
Real number (ℝ)

MISSING 

Distinct709
Distinct (%)80.8%
Missing6944
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean200223.33
Minimum159321.33
Maximum261636.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:12.380357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159321.33
5-th percentile173999.49
Q1183213.69
median200528.31
Q3210969.34
95-th percentile234833.54
Maximum261636.29
Range102314.96
Interquartile range (IQR)27755.656

Descriptive statistics

Standard deviation18889.9
Coefficient of variation (CV)0.094344151
Kurtosis0.05807399
Mean200223.33
Median Absolute Deviation (MAD)13273.201
Skewness0.45743561
Sum1.7559586 × 108
Variance3.5682831 × 108
MonotonicityNot monotonic
2023-12-11T06:04:12.531965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197655.310801404 6
 
0.1%
208364.987539515 5
 
0.1%
205820.890952409 5
 
0.1%
209022.176538763 4
 
0.1%
208127.801360389 4
 
0.1%
225676.720320733 3
 
< 0.1%
182261.979010257 3
 
< 0.1%
197739.871318739 3
 
< 0.1%
234534.351728158 3
 
< 0.1%
198522.230664991 3
 
< 0.1%
Other values (699) 838
 
10.7%
(Missing) 6944
88.8%
ValueCountFrequency (%)
159321.330931084 1
< 0.1%
162540.626570668 2
< 0.1%
163160.775566408 2
< 0.1%
163483.958243104 1
< 0.1%
163611.750009042 1
< 0.1%
163625.605408339 1
< 0.1%
163844.843181372 1
< 0.1%
164417.956146574 1
< 0.1%
164737.108925222 1
< 0.1%
165807.504810932 1
< 0.1%
ValueCountFrequency (%)
261636.291893701 1
< 0.1%
258251.349468784 1
< 0.1%
257360.46430655 1
< 0.1%
256448.248498212 1
< 0.1%
256295.540566504 1
< 0.1%
256182.188734751 1
< 0.1%
255404.407117064 2
< 0.1%
253362.735841023 1
< 0.1%
253025.857287524 1
< 0.1%
250968.913996702 2
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct709
Distinct (%)80.8%
Missing6944
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean426428.71
Minimum382450.28
Maximum500003.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:12.736738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum382450.28
5-th percentile389969.99
Q1408985.61
median422922.28
Q3439895.68
95-th percentile472552.96
Maximum500003.85
Range117553.56
Interquartile range (IQR)30910.072

Descriptive statistics

Standard deviation25235.202
Coefficient of variation (CV)0.059178009
Kurtosis-0.24658512
Mean426428.71
Median Absolute Deviation (MAD)14774.425
Skewness0.56117614
Sum3.7397798 × 108
Variance6.3681543 × 108
MonotonicityNot monotonic
2023-12-11T06:04:12.928424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
421305.50595434 6
 
0.1%
471733.617126321 5
 
0.1%
413028.454932076 5
 
0.1%
433556.509519109 4
 
0.1%
392250.102828683 4
 
0.1%
412532.949074993 3
 
< 0.1%
442869.99262439 3
 
< 0.1%
411623.628782193 3
 
< 0.1%
417403.634461451 3
 
< 0.1%
436095.915841316 3
 
< 0.1%
Other values (699) 838
 
10.7%
(Missing) 6944
88.8%
ValueCountFrequency (%)
382450.284313219 2
< 0.1%
382711.987442106 2
< 0.1%
383188.550441442 1
 
< 0.1%
383227.398143941 3
< 0.1%
383779.450640695 1
 
< 0.1%
383877.720377209 1
 
< 0.1%
383896.482392962 1
 
< 0.1%
384533.700211332 2
< 0.1%
384662.912788779 1
 
< 0.1%
384886.130269504 2
< 0.1%
ValueCountFrequency (%)
500003.847437717 1
< 0.1%
496618.603907155 1
< 0.1%
496474.137690836 1
< 0.1%
492416.226613349 1
< 0.1%
490699.599485742 1
< 0.1%
490265.84302572 2
< 0.1%
488023.8842503 1
< 0.1%
487923.784714486 1
< 0.1%
485156.663437699 2
< 0.1%
484806.499554997 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
위탁급식영업
7578 
<NA>
 
243

Length

Max length6
Median length6
Mean length5.9378596
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 7578
96.9%
<NA> 243
 
3.1%

Length

2023-12-11T06:04:13.150892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:13.304530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 7578
96.9%
na 243
 
3.1%

남성종사자수(명)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9
Distinct (%)0.3%
Missing5206
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean0.18929254
Minimum0
Maximum300
Zeros2480
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:13.402253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum300
Range300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.8840915
Coefficient of variation (CV)31.084645
Kurtosis2581.4298
Mean0.18929254
Median Absolute Deviation (MAD)0
Skewness50.652906
Sum495
Variance34.622533
MonotonicityNot monotonic
2023-12-11T06:04:13.530226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2480
31.7%
1 103
 
1.3%
2 23
 
0.3%
3 4
 
0.1%
15 1
 
< 0.1%
10 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
300 1
 
< 0.1%
(Missing) 5206
66.6%
ValueCountFrequency (%)
0 2480
31.7%
1 103
 
1.3%
2 23
 
0.3%
3 4
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
10 1
 
< 0.1%
15 1
 
< 0.1%
300 1
 
< 0.1%
ValueCountFrequency (%)
300 1
 
< 0.1%
15 1
 
< 0.1%
10 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
0.1%
2 23
 
0.3%
1 103
 
1.3%
0 2480
31.7%

여성종사자수(명)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct23
Distinct (%)0.8%
Missing5110
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean0.58686831
Minimum0
Maximum100
Zeros2377
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:13.669211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.215007
Coefficient of variation (CV)5.4782427
Kurtosis567.1441
Mean0.58686831
Median Absolute Deviation (MAD)0
Skewness20.419145
Sum1591
Variance10.33627
MonotonicityNot monotonic
2023-12-11T06:04:13.815472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2377
30.4%
3 79
 
1.0%
2 68
 
0.9%
4 66
 
0.8%
1 35
 
0.4%
5 25
 
0.3%
6 18
 
0.2%
8 9
 
0.1%
7 6
 
0.1%
10 5
 
0.1%
Other values (13) 23
 
0.3%
(Missing) 5110
65.3%
ValueCountFrequency (%)
0 2377
30.4%
1 35
 
0.4%
2 68
 
0.9%
3 79
 
1.0%
4 66
 
0.8%
5 25
 
0.3%
6 18
 
0.2%
7 6
 
0.1%
8 9
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
100 1
 
< 0.1%
90 1
 
< 0.1%
35 1
 
< 0.1%
26 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
17 4
0.1%
15 1
 
< 0.1%
14 2
< 0.1%
13 1
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
6287 
기타
1346 
주택가주변
 
69
아파트지역
 
54
학교정화(절대)
 
39
Other values (3)
 
26

Length

Max length8
Median length4
Mean length3.7046414
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6287
80.4%
기타 1346
 
17.2%
주택가주변 69
 
0.9%
아파트지역 54
 
0.7%
학교정화(절대) 39
 
0.5%
유흥업소밀집지역 14
 
0.2%
학교정화(상대) 11
 
0.1%
결혼예식장주변 1
 
< 0.1%

Length

2023-12-11T06:04:13.958889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:14.119946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6287
80.4%
기타 1346
 
17.2%
주택가주변 69
 
0.9%
아파트지역 54
 
0.7%
학교정화(절대 39
 
0.5%
유흥업소밀집지역 14
 
0.2%
학교정화(상대 11
 
0.1%
결혼예식장주변 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7574 
기타
 
125
자율
 
118
우수
 
4

Length

Max length4
Median length4
Mean length3.9368367
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7574
96.8%
기타 125
 
1.6%
자율 118
 
1.5%
우수 4
 
0.1%

Length

2023-12-11T06:04:14.287202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:14.396501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7574
96.8%
기타 125
 
1.6%
자율 118
 
1.5%
우수 4
 
0.1%

급수시설구분명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
상수도전용
3745 
<NA>
3235 
지하수전용
792 
전용상수도(특정시설의 자가용 수도)
 
28
상수도(음용)지하수(주방용)겸용
 
16

Length

Max length19
Median length5
Mean length4.6610408
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전용상수도(특정시설의 자가용 수도)
2nd row전용상수도(특정시설의 자가용 수도)
3rd row<NA>
4th row지하수전용
5th row지하수전용

Common Values

ValueCountFrequency (%)
상수도전용 3745
47.9%
<NA> 3235
41.4%
지하수전용 792
 
10.1%
전용상수도(특정시설의 자가용 수도) 28
 
0.4%
상수도(음용)지하수(주방용)겸용 16
 
0.2%
간이상수도 5
 
0.1%

Length

2023-12-11T06:04:14.510587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:14.628497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 3745
47.5%
na 3235
41.1%
지하수전용 792
 
10.1%
전용상수도(특정시설의 28
 
0.4%
자가용 28
 
0.4%
수도 28
 
0.4%
상수도(음용)지하수(주방용)겸용 16
 
0.2%
간이상수도 5
 
0.1%

총종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct22
Distinct (%)0.9%
Missing5244
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean0.65618937
Minimum0
Maximum390
Zeros2353
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:14.795880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum390
Range390
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.2452081
Coefficient of variation (CV)12.565288
Kurtosis1946.3418
Mean0.65618937
Median Absolute Deviation (MAD)0
Skewness42.054837
Sum1691
Variance67.983456
MonotonicityNot monotonic
2023-12-11T06:04:14.969792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 2353
30.1%
4 46
 
0.6%
3 45
 
0.6%
5 33
 
0.4%
2 25
 
0.3%
6 20
 
0.3%
7 9
 
0.1%
1 9
 
0.1%
9 7
 
0.1%
8 6
 
0.1%
Other values (12) 24
 
0.3%
(Missing) 5244
67.1%
ValueCountFrequency (%)
0 2353
30.1%
1 9
 
0.1%
2 25
 
0.3%
3 45
 
0.6%
4 46
 
0.6%
5 33
 
0.4%
6 20
 
0.3%
7 9
 
0.1%
8 6
 
0.1%
9 7
 
0.1%
ValueCountFrequency (%)
390 1
 
< 0.1%
115 1
 
< 0.1%
35 2
< 0.1%
29 1
 
< 0.1%
18 3
< 0.1%
16 1
 
< 0.1%
15 2
< 0.1%
14 2
< 0.1%
13 1
 
< 0.1%
12 2
< 0.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7073 
0
748 

Length

Max length4
Median length4
Mean length3.7130802
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7073
90.4%
0 748
 
9.6%

Length

2023-12-11T06:04:15.136013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:15.270719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
90.4%
0 748
 
9.6%

공장사무소종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7073 
0
748 

Length

Max length4
Median length4
Mean length3.7130802
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7073
90.4%
0 748
 
9.6%

Length

2023-12-11T06:04:15.384369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:15.507148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
90.4%
0 748
 
9.6%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7073 
0
748 

Length

Max length4
Median length4
Mean length3.7130802
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7073
90.4%
0 748
 
9.6%

Length

2023-12-11T06:04:15.615415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:15.744205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
90.4%
0 748
 
9.6%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7073 
0
748 

Length

Max length4
Median length4
Mean length3.7130802
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7073
90.4%
0 748
 
9.6%

Length

2023-12-11T06:04:15.890408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:16.010185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
90.4%
0 748
 
9.6%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7821
Missing (%)100.0%
Memory size68.9 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7073 
0
748 

Length

Max length4
Median length4
Mean length3.7130802
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7073
90.4%
0 748
 
9.6%

Length

2023-12-11T06:04:16.455390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:16.588759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
90.4%
0 748
 
9.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
<NA>
7073 
0
748 

Length

Max length4
Median length4
Mean length3.7130802
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7073
90.4%
0 748
 
9.6%

Length

2023-12-11T06:04:16.712371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:16.863839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7073
90.4%
0 748
 
9.6%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing243
Missing (%)3.1%
Memory size15.4 KiB
False
7573 
True
 
5
(Missing)
 
243
ValueCountFrequency (%)
False 7573
96.8%
True 5
 
0.1%
(Missing) 243
 
3.1%
2023-12-11T06:04:16.968652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct715
Distinct (%)77.4%
Missing6897
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean395.83153
Minimum0
Maximum16338
Zeros76
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size68.9 KiB
2023-12-11T06:04:17.084838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164.7125
median201
Q3422.225
95-th percentile1511.7725
Maximum16338
Range16338
Interquartile range (IQR)357.5125

Descriptive statistics

Standard deviation829.56787
Coefficient of variation (CV)2.09576
Kurtosis157.45461
Mean395.83153
Median Absolute Deviation (MAD)161.125
Skewness9.8770352
Sum365748.33
Variance688182.86
MonotonicityNot monotonic
2023-12-11T06:04:17.241742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 76
 
1.0%
6.6 11
 
0.1%
3.3 5
 
0.1%
9.9 5
 
0.1%
165.0 5
 
0.1%
168.0 5
 
0.1%
10.0 4
 
0.1%
230.0 4
 
0.1%
360.0 3
 
< 0.1%
198.0 3
 
< 0.1%
Other values (705) 803
 
10.3%
(Missing) 6897
88.2%
ValueCountFrequency (%)
0.0 76
1.0%
3.3 5
 
0.1%
3.4 1
 
< 0.1%
3.43 1
 
< 0.1%
3.6 1
 
< 0.1%
3.92 1
 
< 0.1%
4.0 2
 
< 0.1%
4.95 1
 
< 0.1%
5.35 1
 
< 0.1%
5.49 1
 
< 0.1%
ValueCountFrequency (%)
16338.0 1
< 0.1%
6271.5 1
< 0.1%
5775.0 1
< 0.1%
5377.18 1
< 0.1%
5306.84 1
< 0.1%
5167.77 1
< 0.1%
4679.73 2
< 0.1%
3916.0 1
< 0.1%
3616.23 1
< 0.1%
3008.88 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7821
Missing (%)100.0%
Memory size68.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7821
Missing (%)100.0%
Memory size68.9 KiB

홈페이지URL
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7821
Missing (%)100.0%
Memory size68.9 KiB

Sample

시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자소재지시설전화번호소재지면적(㎡)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수(명)여성종사자수(명)영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지URL
0가평군2022-07-29씨제이프레시웨이(주)아난티가평점펜트하우스<NA>영업/정상영업<NA><NA>166.49경기도 가평군 설악면 유명로 1007-90, 주차장동 지하1층경기도 가평군 설악면 방일리 653-4 지하1층 주차장동1247237.625014127.480384위탁급식영업242662.704567458339.403085위탁급식영업00<NA><NA>전용상수도(특정시설의 자가용 수도)00000<NA>00N166.49<NA><NA><NA>
1가평군2022-07-29씨제이프레시웨이(주)아난티가평점클럽하우스<NA>영업/정상영업<NA><NA>242.0경기도 가평군 설악면 유명로 961-34, 클럽하우스동 지하2층경기도 가평군 설악면 방일리 산 90-2 클럽하우스동 지하2층1247237.620183127.482277위탁급식영업242397.921565457662.5313위탁급식영업00<NA><NA>전용상수도(특정시설의 자가용 수도)00000<NA>00N242.0<NA><NA><NA>
2가평군2023-12-05(주)아워홈 광릉한샘기숙학원<NA>영업/정상영업<NA>02 69669501547.39경기도 가평군 조종면 명지산로 540, 1층 광릉한샘기숙학원경기도 가평군 조종면 상판리 136-11243137.914458127.387303위탁급식영업233975.924526490265.843026위탁급식영업00<NA><NA><NA>00000<NA>00N547.39<NA><NA><NA>
3가평군20110414푸드원코리아<NA><NA>운영중<NA><NA><NA>경기도 가평군 북면 백둔로 441경기도 가평군 북면 백둔리 357번지1240637.901328127.460371<NA><NA><NA>위탁급식영업<NA><NA>기타<NA>지하수전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
4가평군20150630(주)현대그린푸드 청평연수원지점<NA><NA>운영중<NA><NA><NA>경기도 가평군 청평면 고재길 33, 1층경기도 가평군 청평면 고성리 410-1번지 1층1245637.714401127.504255<NA><NA><NA>위탁급식영업13기타<NA>지하수전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
5가평군20081021한화호텔앤드리조트(주)현등연구소점(단체급식)<NA><NA>운영중<NA><NA><NA>경기도 가평군 조종면 운악청계로490번길 70-2 (외 33필지)경기도 가평군 조종면 운악리 64번지 외 33필지1243237.857792127.369269<NA><NA><NA>위탁급식영업<NA><NA>기타<NA>지하수전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
6가평군20090514(주)현대그린푸드 KCC 가평공장점<NA><NA>운영중<NA><NA><NA>경기도 가평군 가평읍 물안산길 42 (외 2필지)경기도 가평군 가평읍 개곡리 산 280번지 외 2필지1241037.866097127.536382<NA><NA><NA>위탁급식영업<NA><NA><NA><NA>지하수전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7가평군20121221(주)피엔에프(P&F)<NA><NA>운영중<NA><NA><NA>경기도 가평군 상면 임초밤안골로 170경기도 가평군 상면 임초리 578번지1244737.756015127.369232<NA><NA><NA>위탁급식영업14기타<NA>지하수전용5<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
8가평군20150429본푸드서비스(주)아난티클럽서울지점<NA><NA>운영중<NA><NA><NA>경기도 가평군 설악면 유명로 961-34경기도 가평군 설악면 방일리 산 90-2번지1247237.627304127.490107<NA><NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
9가평군20161227한울푸드<NA><NA>운영중<NA><NA><NA>경기도 가평군 청평면 경춘로 1401, 5층경기도 가평군 청평면 상천리 295-7번지1244937.77637127.461437<NA><NA><NA>위탁급식영업<NA><NA><NA><NA>지하수전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자소재지시설전화번호소재지면적(㎡)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수(명)여성종사자수(명)영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지URL
7811화성시20061026(주)드림푸드서비스 해성옵틱스(주)<NA><NA>폐업 등20110527<NA><NA>경기도 화성시 봉담읍 효행로184번길 66경기도 화성시 봉담읍 수영리 11-2번지1829837.229162126.962285<NA><NA><NA>위탁급식영업00기타<NA>지하수전용0<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7812화성시20060719(주)이에스디웍 구내식당<NA><NA>폐업 등20080110<NA><NA>경기도 화성시 남양읍 무하로 115-9경기도 화성시 남양읍 무송리 437-8번지1827937.184517126.855844<NA><NA><NA>위탁급식영업00<NA><NA>상수도전용0<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7813화성시20060707알파비젼 구내식당<NA><NA>폐업 등20150415<NA><NA>경기도 화성시 효행로 1203-8 (기산동)경기도 화성시 기산동 26-1번지1838537.21891127.054962<NA><NA><NA>위탁급식영업00기타<NA>상수도전용0<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7814화성시20060612미당케터링(르노삼성자동차)<NA><NA>폐업 등20121017<NA><NA><NA>경기도 화성시 장안면 석포리 718-13번지 1동1857437.147825126.817948<NA><NA><NA>위탁급식영업00기타<NA>상수도전용0<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7815화성시20060728아라코(주)장안대학학생회관<NA><NA>폐업 등20120213<NA><NA>경기도 화성시 봉담읍 삼천병마로 1182 (장안대학)경기도 화성시 봉담읍 상리 460번지 장안대학1833137.213288126.944478<NA><NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7816화성시20110708신세계푸드<NA><NA>폐업 등20120113<NA><NA>경기도 화성시 마도면 마도공단로1길 25 (마도지방산업단지 2블럭 1롯트)경기도 화성시 마도면 쌍송리 664번지 마도지방산업단지 2블럭 1롯트1854237.184364126.792598<NA><NA><NA>위탁급식영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7817화성시20120625(주)제성씨엔엠오바라점<NA><NA>폐업 등20131213<NA><NA>경기도 화성시 향남읍 발안공단로4길 97-23경기도 화성시 향남읍 구문천리 933-7번지1862337.081272126.900968<NA><NA><NA>위탁급식영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7818화성시20160912(주)엔케이디씨<NA><NA>폐업 등20180302<NA><NA>경기도 화성시 팔탄면 율암길95번길 69 (B동 지하1층)경기도 화성시 팔탄면 율암리 428-6번지 B동 지하1층1853037.164938126.879291<NA><NA><NA>위탁급식영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7819화성시20160107튜너웍스 코리아<NA><NA>폐업 등20170802<NA><NA>경기도 화성시 정남면 만년로 697-18, 2층 일부호경기도 화성시 정남면 괘랑리 686-1번지 2층일부호1851637.182923126.989223<NA><NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>
7820화성시20170721와이텍<NA><NA>폐업 등20180731<NA><NA>경기도 화성시 봉담읍 덕우공단2길 66-2경기도 화성시 봉담읍 덕우리 161-5번지1833637.15564126.91938<NA><NA><NA>위탁급식영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명인허가일자사업장명통합영업상태명영업상태명폐업일자소재지시설전화번호소재지면적(㎡)소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수(명)여성종사자수(명)영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무소종업원수공장판매직종업원수공장생산직종업원수보증액월세액다중이용업소여부시설총규모# duplicates
0고양시20111027두리밥상<NA>폐업 등20130612<NA><NA><NA>경기도 고양시 덕양구 신원동 32-1번지 외 2필지 고양삼송택지개발지구A6블럭 현대건설현장내 1층<NA>37.663051126.888391<NA><NA><NA>위탁급식영업<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA>N<NA>2