Overview

Dataset statistics

Number of variables44
Number of observations304
Missing cells3589
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.8 KiB
Average record size in memory376.4 B

Variable types

Categorical18
Text7
DateTime4
Unsupported8
Numeric6
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17992/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (76.1%)Imbalance
등급구분명 is highly imbalanced (77.5%)Imbalance
총인원 is highly imbalanced (79.1%)Imbalance
본사종업원수 is highly imbalanced (79.1%)Imbalance
공장사무직종업원수 is highly imbalanced (79.1%)Imbalance
공장판매직종업원수 is highly imbalanced (79.1%)Imbalance
공장생산직종업원수 is highly imbalanced (79.1%)Imbalance
보증액 is highly imbalanced (79.1%)Imbalance
월세액 is highly imbalanced (79.1%)Imbalance
인허가취소일자 has 304 (100.0%) missing valuesMissing
폐업일자 has 82 (27.0%) missing valuesMissing
휴업시작일자 has 304 (100.0%) missing valuesMissing
휴업종료일자 has 304 (100.0%) missing valuesMissing
재개업일자 has 304 (100.0%) missing valuesMissing
전화번호 has 98 (32.2%) missing valuesMissing
소재지면적 has 64 (21.1%) missing valuesMissing
도로명주소 has 104 (34.2%) missing valuesMissing
도로명우편번호 has 107 (35.2%) missing valuesMissing
좌표정보(X) has 31 (10.2%) missing valuesMissing
좌표정보(Y) has 31 (10.2%) missing valuesMissing
남성종사자수 has 248 (81.6%) missing valuesMissing
여성종사자수 has 244 (80.3%) missing valuesMissing
건물소유구분명 has 304 (100.0%) missing valuesMissing
다중이용업소여부 has 74 (24.3%) missing valuesMissing
시설총규모 has 74 (24.3%) missing valuesMissing
전통업소지정번호 has 304 (100.0%) missing valuesMissing
전통업소주된음식 has 304 (100.0%) missing valuesMissing
홈페이지 has 304 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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
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
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 25 (8.2%) zerosZeros
여성종사자수 has 17 (5.6%) zerosZeros
시설총규모 has 65 (21.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:32:57.499815
Analysis finished2024-04-29 19:32:58.478448
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3150000
304 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 304
100.0%

Length

2024-04-30T04:32:58.539282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:58.628866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 304
100.0%

관리번호
Text

UNIQUE 

Distinct304
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-30T04:32:58.774847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6688
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

Unique304 ?
Unique (%)100.0%

Sample

1st row3150000-120-2003-00001
2nd row3150000-120-2003-00003
3rd row3150000-120-2003-00004
4th row3150000-120-2003-00005
5th row3150000-120-2003-00006
ValueCountFrequency (%)
3150000-120-2003-00001 1
 
0.3%
3150000-120-2017-00004 1
 
0.3%
3150000-120-2017-00012 1
 
0.3%
3150000-120-2017-00011 1
 
0.3%
3150000-120-2017-00010 1
 
0.3%
3150000-120-2017-00009 1
 
0.3%
3150000-120-2017-00008 1
 
0.3%
3150000-120-2017-00007 1
 
0.3%
3150000-120-2017-00006 1
 
0.3%
3150000-120-2003-00003 1
 
0.3%
Other values (294) 294
96.7%
2024-04-30T04:32:59.060633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3082
46.1%
- 912
 
13.6%
1 890
 
13.3%
2 748
 
11.2%
3 429
 
6.4%
5 357
 
5.3%
4 72
 
1.1%
6 57
 
0.9%
9 49
 
0.7%
7 48
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5776
86.4%
Dash Punctuation 912
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3082
53.4%
1 890
 
15.4%
2 748
 
13.0%
3 429
 
7.4%
5 357
 
6.2%
4 72
 
1.2%
6 57
 
1.0%
9 49
 
0.8%
7 48
 
0.8%
8 44
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 912
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3082
46.1%
- 912
 
13.6%
1 890
 
13.3%
2 748
 
11.2%
3 429
 
6.4%
5 357
 
5.3%
4 72
 
1.1%
6 57
 
0.9%
9 49
 
0.7%
7 48
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3082
46.1%
- 912
 
13.6%
1 890
 
13.3%
2 748
 
11.2%
3 429
 
6.4%
5 357
 
5.3%
4 72
 
1.1%
6 57
 
0.9%
9 49
 
0.7%
7 48
 
0.7%
Distinct239
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-09-02 00:00:00
Maximum2024-03-04 00:00:00
2024-04-30T04:32:59.169486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:32:59.297796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
222 
1
82 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 222
73.0%
1 82
 
27.0%

Length

2024-04-30T04:32:59.412801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:59.490765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 222
73.0%
1 82
 
27.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
222 
영업/정상
82 

Length

Max length5
Median length2
Mean length2.8092105
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 222
73.0%
영업/정상 82
 
27.0%

Length

2024-04-30T04:32:59.575041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:59.657557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 222
73.0%
영업/정상 82
 
27.0%
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2
222 
1
82 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 222
73.0%
1 82
 
27.0%

Length

2024-04-30T04:32:59.751746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:59.833713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 222
73.0%
1 82
 
27.0%
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
222 
영업
82 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 222
73.0%
영업 82
 
27.0%

Length

2024-04-30T04:32:59.917756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:59.996032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 222
73.0%
영업 82
 
27.0%

폐업일자
Date

MISSING 

Distinct187
Distinct (%)84.2%
Missing82
Missing (%)27.0%
Memory size2.5 KiB
Minimum2004-01-08 00:00:00
Maximum2024-02-29 00:00:00
2024-04-30T04:33:00.091881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:00.196817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct174
Distinct (%)84.5%
Missing98
Missing (%)32.2%
Memory size2.5 KiB
2024-04-30T04:33:00.386761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9514563
Min length2

Characters and Unicode

Total characters2050
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

Unique157 ?
Unique (%)76.2%

Sample

1st row0226695022
2nd row0236600491
3rd row0260905515
4th row0226441253
5th row0226002537
ValueCountFrequency (%)
02 31
 
12.8%
0269669274 7
 
2.9%
0233920455 5
 
2.1%
031 4
 
1.6%
9967691 3
 
1.2%
0234007530 3
 
1.2%
4565700 3
 
1.2%
4698966 3
 
1.2%
07040086006 3
 
1.2%
0226695022 3
 
1.2%
Other values (168) 178
73.3%
2024-04-30T04:33:00.734491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 399
19.5%
0 394
19.2%
6 306
14.9%
5 153
 
7.5%
3 151
 
7.4%
1 141
 
6.9%
9 134
 
6.5%
7 125
 
6.1%
4 116
 
5.7%
8 90
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2009
98.0%
Space Separator 41
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 399
19.9%
0 394
19.6%
6 306
15.2%
5 153
 
7.6%
3 151
 
7.5%
1 141
 
7.0%
9 134
 
6.7%
7 125
 
6.2%
4 116
 
5.8%
8 90
 
4.5%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 399
19.5%
0 394
19.2%
6 306
14.9%
5 153
 
7.5%
3 151
 
7.4%
1 141
 
6.9%
9 134
 
6.5%
7 125
 
6.1%
4 116
 
5.7%
8 90
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 399
19.5%
0 394
19.2%
6 306
14.9%
5 153
 
7.5%
3 151
 
7.4%
1 141
 
6.9%
9 134
 
6.5%
7 125
 
6.1%
4 116
 
5.7%
8 90
 
4.4%

소재지면적
Text

MISSING 

Distinct181
Distinct (%)75.4%
Missing64
Missing (%)21.1%
Memory size2.5 KiB
2024-04-30T04:33:01.056191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0583333
Min length3

Characters and Unicode

Total characters1454
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

Unique141 ?
Unique (%)58.8%

Sample

1st row687.00
2nd row429.12
3rd row257.06
4th row216.29
5th row139.05
ValueCountFrequency (%)
990.00 4
 
1.7%
336.80 4
 
1.7%
227.00 4
 
1.7%
641.00 3
 
1.2%
454.64 3
 
1.2%
742.53 3
 
1.2%
876.00 3
 
1.2%
320.70 3
 
1.2%
317.00 3
 
1.2%
196.20 3
 
1.2%
Other values (171) 207
86.2%
2024-04-30T04:33:01.480837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 306
21.0%
. 240
16.5%
2 130
8.9%
1 123
8.5%
3 118
 
8.1%
4 98
 
6.7%
5 96
 
6.6%
6 93
 
6.4%
7 85
 
5.8%
8 80
 
5.5%
Other values (2) 85
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1202
82.7%
Other Punctuation 252
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 306
25.5%
2 130
10.8%
1 123
10.2%
3 118
 
9.8%
4 98
 
8.2%
5 96
 
8.0%
6 93
 
7.7%
7 85
 
7.1%
8 80
 
6.7%
9 73
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 240
95.2%
, 12
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1454
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 306
21.0%
. 240
16.5%
2 130
8.9%
1 123
8.5%
3 118
 
8.1%
4 98
 
6.7%
5 96
 
6.6%
6 93
 
6.4%
7 85
 
5.8%
8 80
 
5.5%
Other values (2) 85
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 306
21.0%
. 240
16.5%
2 130
8.9%
1 123
8.5%
3 118
 
8.1%
4 98
 
6.7%
5 96
 
6.6%
6 93
 
6.4%
7 85
 
5.8%
8 80
 
5.5%
Other values (2) 85
 
5.8%
Distinct84
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-30T04:33:01.780432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1875
Min length6

Characters and Unicode

Total characters1881
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

Unique40 ?
Unique (%)13.2%

Sample

1st row157818
2nd row157270
3rd row157210
4th row157290
5th row157837
ValueCountFrequency (%)
157210 29
 
9.5%
157930 20
 
6.6%
157-210 19
 
6.2%
157280 17
 
5.6%
157836 12
 
3.9%
157840 11
 
3.6%
157849 10
 
3.3%
157290 10
 
3.3%
157807 9
 
3.0%
157030 8
 
2.6%
Other values (74) 159
52.3%
2024-04-30T04:33:02.249821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 395
21.0%
7 340
18.1%
5 324
17.2%
0 211
11.2%
8 162
8.6%
2 124
 
6.6%
3 94
 
5.0%
9 78
 
4.1%
4 59
 
3.1%
- 57
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1824
97.0%
Dash Punctuation 57
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 395
21.7%
7 340
18.6%
5 324
17.8%
0 211
11.6%
8 162
8.9%
2 124
 
6.8%
3 94
 
5.2%
9 78
 
4.3%
4 59
 
3.2%
6 37
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 395
21.0%
7 340
18.1%
5 324
17.2%
0 211
11.2%
8 162
8.6%
2 124
 
6.6%
3 94
 
5.0%
9 78
 
4.1%
4 59
 
3.1%
- 57
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 395
21.0%
7 340
18.1%
5 324
17.2%
0 211
11.2%
8 162
8.6%
2 124
 
6.6%
3 94
 
5.0%
9 78
 
4.1%
4 59
 
3.1%
- 57
 
3.0%
Distinct273
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-30T04:33:02.535528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length30.101974
Min length17

Characters and Unicode

Total characters9151
Distinct characters244
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)81.2%

Sample

1st row서울특별시 강서구 공항동 768-1번지
2nd row서울특별시 강서구 오쇠동 47번지
3rd row서울특별시 강서구 마곡동 5-16번지
4th row서울특별시 강서구 외발산동 426번지
5th row서울특별시 강서구 등촌동 563-2번지
ValueCountFrequency (%)
서울특별시 304
17.3%
강서구 304
17.3%
1층 85
 
4.8%
등촌동 77
 
4.4%
지상 52
 
3.0%
마곡동 48
 
2.7%
지하 45
 
2.6%
방화동 37
 
2.1%
화곡동 35
 
2.0%
내발산동 28
 
1.6%
Other values (363) 746
42.4%
2024-04-30T04:33:02.870932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1687
 
18.4%
641
 
7.0%
369
 
4.0%
1 332
 
3.6%
328
 
3.6%
323
 
3.5%
311
 
3.4%
310
 
3.4%
308
 
3.4%
305
 
3.3%
Other values (234) 4237
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5423
59.3%
Space Separator 1687
 
18.4%
Decimal Number 1476
 
16.1%
Dash Punctuation 241
 
2.6%
Close Punctuation 121
 
1.3%
Open Punctuation 120
 
1.3%
Uppercase Letter 33
 
0.4%
Lowercase Letter 30
 
0.3%
Other Punctuation 14
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
641
 
11.8%
369
 
6.8%
328
 
6.0%
323
 
6.0%
311
 
5.7%
310
 
5.7%
308
 
5.7%
305
 
5.6%
304
 
5.6%
192
 
3.5%
Other values (187) 2032
37.5%
Lowercase Letter
ValueCountFrequency (%)
n 6
20.0%
e 4
13.3%
o 4
13.3%
i 3
10.0%
r 2
 
6.7%
a 2
 
6.7%
x 1
 
3.3%
v 1
 
3.3%
t 1
 
3.3%
k 1
 
3.3%
Other values (5) 5
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 9
27.3%
K 4
12.1%
R 3
 
9.1%
D 3
 
9.1%
G 2
 
6.1%
P 2
 
6.1%
N 2
 
6.1%
I 2
 
6.1%
J 1
 
3.0%
B 1
 
3.0%
Other values (4) 4
12.1%
Decimal Number
ValueCountFrequency (%)
1 332
22.5%
6 166
11.2%
4 160
10.8%
7 150
10.2%
8 137
9.3%
2 121
 
8.2%
3 117
 
7.9%
0 116
 
7.9%
5 102
 
6.9%
9 75
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
& 3
 
21.4%
Space Separator
ValueCountFrequency (%)
1687
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5423
59.3%
Common 3663
40.0%
Latin 65
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
641
 
11.8%
369
 
6.8%
328
 
6.0%
323
 
6.0%
311
 
5.7%
310
 
5.7%
308
 
5.7%
305
 
5.6%
304
 
5.6%
192
 
3.5%
Other values (187) 2032
37.5%
Latin
ValueCountFrequency (%)
C 9
 
13.8%
n 6
 
9.2%
K 4
 
6.2%
e 4
 
6.2%
o 4
 
6.2%
R 3
 
4.6%
D 3
 
4.6%
i 3
 
4.6%
2
 
3.1%
G 2
 
3.1%
Other values (20) 25
38.5%
Common
ValueCountFrequency (%)
1687
46.1%
1 332
 
9.1%
- 241
 
6.6%
6 166
 
4.5%
4 160
 
4.4%
7 150
 
4.1%
8 137
 
3.7%
) 121
 
3.3%
2 121
 
3.3%
( 120
 
3.3%
Other values (7) 428
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5423
59.3%
ASCII 3726
40.7%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1687
45.3%
1 332
 
8.9%
- 241
 
6.5%
6 166
 
4.5%
4 160
 
4.3%
7 150
 
4.0%
8 137
 
3.7%
) 121
 
3.2%
2 121
 
3.2%
( 120
 
3.2%
Other values (36) 491
 
13.2%
Hangul
ValueCountFrequency (%)
641
 
11.8%
369
 
6.8%
328
 
6.0%
323
 
6.0%
311
 
5.7%
310
 
5.7%
308
 
5.7%
305
 
5.6%
304
 
5.6%
192
 
3.5%
Other values (187) 2032
37.5%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명주소
Text

MISSING 

Distinct180
Distinct (%)90.0%
Missing104
Missing (%)34.2%
Memory size2.5 KiB
2024-04-30T04:33:03.127637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length37.945
Min length23

Characters and Unicode

Total characters7589
Distinct characters248
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)81.5%

Sample

1st row서울특별시 강서구 하늘길 76, 3층 (과해동, 이마트공항점)
2nd row서울특별시 강서구 화곡로64길 23, 4층 (등촌동, 1동 TJ미디어)
3rd row서울특별시 강서구 화곡로 302 (화곡동,(지하 1층))
4th row서울특별시 강서구 양천로 373, 1층 (가양동, 1동 씨제이김포공장)
5th row서울특별시 강서구 양천로 559, 매장동 (가양동,가양이마트 (지하 1층))
ValueCountFrequency (%)
서울특별시 200
 
13.4%
강서구 200
 
13.4%
1층 85
 
5.7%
마곡동 45
 
3.0%
등촌동 45
 
3.0%
지하 40
 
2.7%
1동 24
 
1.6%
공항대로 22
 
1.5%
지하1층 22
 
1.5%
화곡동 19
 
1.3%
Other values (315) 787
52.9%
2024-04-30T04:33:03.472974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1290
 
17.0%
462
 
6.1%
302
 
4.0%
, 281
 
3.7%
1 270
 
3.6%
245
 
3.2%
) 214
 
2.8%
( 213
 
2.8%
207
 
2.7%
206
 
2.7%
Other values (238) 3899
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4562
60.1%
Space Separator 1290
 
17.0%
Decimal Number 951
 
12.5%
Other Punctuation 284
 
3.7%
Close Punctuation 214
 
2.8%
Open Punctuation 213
 
2.8%
Uppercase Letter 33
 
0.4%
Lowercase Letter 25
 
0.3%
Dash Punctuation 12
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
462
 
10.1%
302
 
6.6%
245
 
5.4%
207
 
4.5%
206
 
4.5%
203
 
4.4%
201
 
4.4%
200
 
4.4%
187
 
4.1%
187
 
4.1%
Other values (196) 2162
47.4%
Uppercase Letter
ValueCountFrequency (%)
C 9
27.3%
K 4
12.1%
R 3
 
9.1%
D 3
 
9.1%
G 2
 
6.1%
N 2
 
6.1%
I 2
 
6.1%
P 2
 
6.1%
A 1
 
3.0%
W 1
 
3.0%
Other values (4) 4
12.1%
Decimal Number
ValueCountFrequency (%)
1 270
28.4%
3 120
12.6%
4 94
 
9.9%
5 83
 
8.7%
9 72
 
7.6%
2 67
 
7.0%
0 66
 
6.9%
7 64
 
6.7%
8 58
 
6.1%
6 57
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
n 6
24.0%
o 4
16.0%
e 4
16.0%
i 3
12.0%
a 2
 
8.0%
r 2
 
8.0%
v 1
 
4.0%
k 1
 
4.0%
t 1
 
4.0%
x 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 281
98.9%
& 3
 
1.1%
Space Separator
ValueCountFrequency (%)
1290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4562
60.1%
Common 2967
39.1%
Latin 60
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
462
 
10.1%
302
 
6.6%
245
 
5.4%
207
 
4.5%
206
 
4.5%
203
 
4.4%
201
 
4.4%
200
 
4.4%
187
 
4.1%
187
 
4.1%
Other values (196) 2162
47.4%
Latin
ValueCountFrequency (%)
C 9
15.0%
n 6
 
10.0%
K 4
 
6.7%
o 4
 
6.7%
e 4
 
6.7%
i 3
 
5.0%
R 3
 
5.0%
D 3
 
5.0%
G 2
 
3.3%
2
 
3.3%
Other values (15) 20
33.3%
Common
ValueCountFrequency (%)
1290
43.5%
, 281
 
9.5%
1 270
 
9.1%
) 214
 
7.2%
( 213
 
7.2%
3 120
 
4.0%
4 94
 
3.2%
5 83
 
2.8%
9 72
 
2.4%
2 67
 
2.3%
Other values (7) 263
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4562
60.1%
ASCII 3025
39.9%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1290
42.6%
, 281
 
9.3%
1 270
 
8.9%
) 214
 
7.1%
( 213
 
7.0%
3 120
 
4.0%
4 94
 
3.1%
5 83
 
2.7%
9 72
 
2.4%
2 67
 
2.2%
Other values (31) 321
 
10.6%
Hangul
ValueCountFrequency (%)
462
 
10.1%
302
 
6.6%
245
 
5.4%
207
 
4.5%
206
 
4.5%
203
 
4.4%
201
 
4.4%
200
 
4.4%
187
 
4.1%
187
 
4.1%
Other values (196) 2162
47.4%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)36.0%
Missing107
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7622.5228
Minimum7505
Maximum7807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T04:33:03.594423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7505
Q17527
median7589
Q37684
95-th percentile7799
Maximum7807
Range302
Interquartile range (IQR)157

Descriptive statistics

Standard deviation104.51377
Coefficient of variation (CV)0.013711178
Kurtosis-1.0314513
Mean7622.5228
Median Absolute Deviation (MAD)75
Skewness0.59696523
Sum1501637
Variance10923.128
MonotonicityNot monotonic
2024-04-30T04:33:03.723976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7505 21
 
6.9%
7506 7
 
2.3%
7567 6
 
2.0%
7791 6
 
2.0%
7529 5
 
1.6%
7789 5
 
1.6%
7507 5
 
1.6%
7580 5
 
1.6%
7594 5
 
1.6%
7669 5
 
1.6%
Other values (61) 127
41.8%
(Missing) 107
35.2%
ValueCountFrequency (%)
7505 21
6.9%
7506 7
 
2.3%
7507 5
 
1.6%
7508 1
 
0.3%
7514 4
 
1.3%
7516 2
 
0.7%
7524 4
 
1.3%
7526 3
 
1.0%
7527 3
 
1.0%
7529 5
 
1.6%
ValueCountFrequency (%)
7807 3
1.0%
7806 3
1.0%
7804 2
0.7%
7801 1
 
0.3%
7799 2
0.7%
7796 3
1.0%
7795 3
1.0%
7794 1
 
0.3%
7793 3
1.0%
7792 4
1.3%
Distinct294
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-30T04:33:03.916586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length13.565789
Min length2

Characters and Unicode

Total characters4124
Distinct characters293
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)93.8%

Sample

1st row(주)세호푸드 대표이사 이동준
2nd row(주)이씨엠디아시아나김포점
3rd row(주)이씨엠디 아시아나마곡점
4th row(주)이씨엠디메이필드호텔
5th row(주)국제케더링
ValueCountFrequency (%)
주)아워홈 16
 
3.4%
주)엘에스씨푸드 8
 
1.7%
구내식당 7
 
1.5%
주식회사 7
 
1.5%
주)신세계푸드 7
 
1.5%
주)동원홈푸드 5
 
1.1%
주)정오아카데미 5
 
1.1%
강서점 5
 
1.1%
엘지사이언스파크 4
 
0.9%
한서고등학교 4
 
0.9%
Other values (345) 398
85.4%
2024-04-30T04:33:04.246776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
 
5.2%
) 199
 
4.8%
( 193
 
4.7%
162
 
3.9%
132
 
3.2%
129
 
3.1%
115
 
2.8%
113
 
2.7%
106
 
2.6%
81
 
2.0%
Other values (283) 2679
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3465
84.0%
Close Punctuation 199
 
4.8%
Open Punctuation 193
 
4.7%
Space Separator 162
 
3.9%
Uppercase Letter 82
 
2.0%
Decimal Number 9
 
0.2%
Dash Punctuation 7
 
0.2%
Other Punctuation 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
215
 
6.2%
132
 
3.8%
129
 
3.7%
115
 
3.3%
113
 
3.3%
106
 
3.1%
81
 
2.3%
81
 
2.3%
67
 
1.9%
56
 
1.6%
Other values (254) 2370
68.4%
Uppercase Letter
ValueCountFrequency (%)
C 17
20.7%
I 9
11.0%
T 9
11.0%
K 7
8.5%
J 6
 
7.3%
D 6
 
7.3%
F 6
 
7.3%
S 5
 
6.1%
R 4
 
4.9%
G 2
 
2.4%
Other values (7) 11
13.4%
Decimal Number
ValueCountFrequency (%)
9 4
44.4%
7 2
22.2%
2 1
 
11.1%
1 1
 
11.1%
4 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 5
83.3%
. 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3465
84.0%
Common 577
 
14.0%
Latin 82
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
215
 
6.2%
132
 
3.8%
129
 
3.7%
115
 
3.3%
113
 
3.3%
106
 
3.1%
81
 
2.3%
81
 
2.3%
67
 
1.9%
56
 
1.6%
Other values (254) 2370
68.4%
Latin
ValueCountFrequency (%)
C 17
20.7%
I 9
11.0%
T 9
11.0%
K 7
8.5%
J 6
 
7.3%
D 6
 
7.3%
F 6
 
7.3%
S 5
 
6.1%
R 4
 
4.9%
G 2
 
2.4%
Other values (7) 11
13.4%
Common
ValueCountFrequency (%)
) 199
34.5%
( 193
33.4%
162
28.1%
- 7
 
1.2%
& 5
 
0.9%
9 4
 
0.7%
7 2
 
0.3%
2 1
 
0.2%
+ 1
 
0.2%
1 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3465
84.0%
ASCII 659
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
215
 
6.2%
132
 
3.8%
129
 
3.7%
115
 
3.3%
113
 
3.3%
106
 
3.1%
81
 
2.3%
81
 
2.3%
67
 
1.9%
56
 
1.6%
Other values (254) 2370
68.4%
ASCII
ValueCountFrequency (%)
) 199
30.2%
( 193
29.3%
162
24.6%
C 17
 
2.6%
I 9
 
1.4%
T 9
 
1.4%
K 7
 
1.1%
- 7
 
1.1%
J 6
 
0.9%
D 6
 
0.9%
Other values (19) 44
 
6.7%
Distinct271
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-10-13 00:00:00
Maximum2024-04-16 16:50:16
2024-04-30T04:33:04.356208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:04.473494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
190 
U
114 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 190
62.5%
U 114
37.5%

Length

2024-04-30T04:33:04.586923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:04.665636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 190
62.5%
u 114
37.5%
Distinct105
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-30T04:33:04.935342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:05.044238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
위탁급식영업
304 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 304
100.0%

Length

2024-04-30T04:33:05.181067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:05.271972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 304
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)46.2%
Missing31
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean185541.38
Minimum180384.55
Maximum189165.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T04:33:05.363978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180384.55
5-th percentile182141.21
Q1183863.69
median185867.13
Q3187078.14
95-th percentile188023.6
Maximum189165.46
Range8780.9166
Interquartile range (IQR)3214.4451

Descriptive statistics

Standard deviation1924.0216
Coefficient of variation (CV)0.010369771
Kurtosis-0.78615105
Mean185541.38
Median Absolute Deviation (MAD)1444.4978
Skewness-0.4471643
Sum50652796
Variance3701859.1
MonotonicityNot monotonic
2024-04-30T04:33:05.479529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183005.079209806 11
 
3.6%
187712.186936722 9
 
3.0%
183863.692502412 9
 
3.0%
186219.784163324 7
 
2.3%
187119.948165892 6
 
2.0%
186458.260228481 6
 
2.0%
182141.205465089 6
 
2.0%
188023.60012538 6
 
2.0%
182765.548207669 6
 
2.0%
183661.231667162 5
 
1.6%
Other values (116) 202
66.4%
(Missing) 31
 
10.2%
ValueCountFrequency (%)
180384.547605318 2
 
0.7%
181682.433518522 1
 
0.3%
181881.234660314 4
1.3%
182029.065433146 1
 
0.3%
182086.388313239 3
1.0%
182141.205465089 6
2.0%
182162.406429892 2
 
0.7%
182524.823835629 4
1.3%
182749.273937321 4
1.3%
182765.548207669 6
2.0%
ValueCountFrequency (%)
189165.464226546 3
1.0%
188612.115994776 1
 
0.3%
188559.543231921 1
 
0.3%
188555.751727754 1
 
0.3%
188387.609305559 1
 
0.3%
188385.790412096 2
 
0.7%
188344.789801958 1
 
0.3%
188295.158516659 1
 
0.3%
188023.60012538 6
2.0%
187894.542477175 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)46.2%
Missing31
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean450667.37
Minimum447473.57
Maximum453232.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T04:33:05.598362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447473.57
5-th percentile448556.97
Q1449619.68
median450691.59
Q3451520.6
95-th percentile452602.7
Maximum453232.01
Range5758.44
Interquartile range (IQR)1900.9206

Descriptive statistics

Standard deviation1213.3963
Coefficient of variation (CV)0.0026924431
Kurtosis-0.31886239
Mean450667.37
Median Absolute Deviation (MAD)947.40683
Skewness-0.099229457
Sum1.2303219 × 108
Variance1472330.5
MonotonicityNot monotonic
2024-04-30T04:33:05.715268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452488.403250349 11
 
3.6%
449515.724005519 9
 
3.0%
449443.610735042 9
 
3.0%
451181.20500093 7
 
2.3%
450691.593173724 6
 
2.0%
451860.814417599 6
 
2.0%
451078.47991 6
 
2.0%
450047.730772546 6
 
2.0%
451831.69899681 6
 
2.0%
452602.703228329 5
 
1.6%
Other values (116) 202
66.4%
(Missing) 31
 
10.2%
ValueCountFrequency (%)
447473.568819772 1
 
0.3%
447487.80045526 3
1.0%
447650.733975885 1
 
0.3%
448430.010437783 2
 
0.7%
448518.775461996 5
1.6%
448556.96543749 3
1.0%
448589.939402569 1
 
0.3%
448886.827025747 1
 
0.3%
448899.500159804 4
1.3%
449055.885616277 3
1.0%
ValueCountFrequency (%)
453232.00882717 2
 
0.7%
453174.899157458 4
 
1.3%
453136.448166169 1
 
0.3%
453072.488997736 1
 
0.3%
452733.565237078 2
 
0.7%
452626.780855673 1
 
0.3%
452602.703228329 5
1.6%
452488.403250349 11
3.6%
452356.969191781 4
 
1.3%
452179.0 1
 
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
위탁급식영업
230 
<NA>
74 

Length

Max length6
Median length6
Mean length5.5131579
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 230
75.7%
<NA> 74
 
24.3%

Length

2024-04-30T04:33:05.838388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:05.939161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 230
75.7%
na 74
 
24.3%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)12.5%
Missing248
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean2.0892857
Minimum0
Maximum50
Zeros25
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T04:33:06.023519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum50
Range50
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.7021755
Coefficient of variation (CV)3.2078789
Kurtosis49.800717
Mean2.0892857
Median Absolute Deviation (MAD)1
Skewness6.8871491
Sum117
Variance44.919156
MonotonicityNot monotonic
2024-04-30T04:33:06.109550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 25
 
8.2%
1 12
 
3.9%
3 7
 
2.3%
2 7
 
2.3%
4 3
 
1.0%
8 1
 
0.3%
50 1
 
0.3%
(Missing) 248
81.6%
ValueCountFrequency (%)
0 25
8.2%
1 12
3.9%
2 7
 
2.3%
3 7
 
2.3%
4 3
 
1.0%
8 1
 
0.3%
50 1
 
0.3%
ValueCountFrequency (%)
50 1
 
0.3%
8 1
 
0.3%
4 3
 
1.0%
3 7
 
2.3%
2 7
 
2.3%
1 12
3.9%
0 25
8.2%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)35.0%
Missing244
Missing (%)80.3%
Infinite0
Infinite (%)0.0%
Mean8.5666667
Minimum0
Maximum68
Zeros17
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T04:33:06.203146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.5
Q312
95-th percentile25.15
Maximum68
Range68
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.056659
Coefficient of variation (CV)1.2906606
Kurtosis14.323073
Mean8.5666667
Median Absolute Deviation (MAD)6.5
Skewness3.206953
Sum514
Variance122.24972
MonotonicityNot monotonic
2024-04-30T04:33:06.300818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 17
 
5.6%
9 4
 
1.3%
6 4
 
1.3%
13 4
 
1.3%
8 4
 
1.3%
7 3
 
1.0%
12 3
 
1.0%
3 3
 
1.0%
4 3
 
1.0%
5 2
 
0.7%
Other values (11) 13
 
4.3%
(Missing) 244
80.3%
ValueCountFrequency (%)
0 17
5.6%
2 1
 
0.3%
3 3
 
1.0%
4 3
 
1.0%
5 2
 
0.7%
6 4
 
1.3%
7 3
 
1.0%
8 4
 
1.3%
9 4
 
1.3%
11 2
 
0.7%
ValueCountFrequency (%)
68 1
 
0.3%
41 1
 
0.3%
28 1
 
0.3%
25 1
 
0.3%
19 1
 
0.3%
17 1
 
0.3%
16 1
 
0.3%
15 2
0.7%
14 1
 
0.3%
13 4
1.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
276 
기타
 
11
주택가주변
 
10
아파트지역
 
4
학교정화(절대)
 
2

Length

Max length8
Median length4
Mean length4.0098684
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 276
90.8%
기타 11
 
3.6%
주택가주변 10
 
3.3%
아파트지역 4
 
1.3%
학교정화(절대) 2
 
0.7%
결혼예식장주변 1
 
0.3%

Length

2024-04-30T04:33:06.425089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:06.524246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 276
90.8%
기타 11
 
3.6%
주택가주변 10
 
3.3%
아파트지역 4
 
1.3%
학교정화(절대 2
 
0.7%
결혼예식장주변 1
 
0.3%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
280 
자율
 
21
관리
 
2
우수
 
1

Length

Max length4
Median length4
Mean length3.8421053
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 280
92.1%
자율 21
 
6.9%
관리 2
 
0.7%
우수 1
 
0.3%

Length

2024-04-30T04:33:06.628198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:06.720095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 280
92.1%
자율 21
 
6.9%
관리 2
 
0.7%
우수 1
 
0.3%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
190 
상수도전용
113 
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.375
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 190
62.5%
상수도전용 113
37.2%
지하수전용 1
 
0.3%

Length

2024-04-30T04:33:06.820486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:06.905370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
62.5%
상수도전용 113
37.2%
지하수전용 1
 
0.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:07.002516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:07.086133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:07.179185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:07.271499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:07.359530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:07.441069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:07.535913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:07.625127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:07.714232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:07.795080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:07.880903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:07.970401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
10

Length

Max length4
Median length4
Mean length3.9013158
Min length1

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> 294
96.7%
0 10
 
3.3%

Length

2024-04-30T04:33:08.064341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:08.151290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
96.7%
0 10
 
3.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing74
Missing (%)24.3%
Memory size740.0 B
False
230 
(Missing)
74 
ValueCountFrequency (%)
False 230
75.7%
(Missing) 74
 
24.3%
2024-04-30T04:33:08.209592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct135
Distinct (%)58.7%
Missing74
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean348.12626
Minimum0
Maximum7847.4
Zeros65
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-30T04:33:08.295965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median226.28
Q3429.09
95-th percentile978.4925
Maximum7847.4
Range7847.4
Interquartile range (IQR)429.09

Descriptive statistics

Standard deviation622.85299
Coefficient of variation (CV)1.7891583
Kurtosis92.908953
Mean348.12626
Median Absolute Deviation (MAD)226.28
Skewness8.2124047
Sum80069.04
Variance387945.84
MonotonicityNot monotonic
2024-04-30T04:33:08.423160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 65
21.4%
227.0 4
 
1.3%
336.8 4
 
1.3%
640.0 3
 
1.0%
641.0 3
 
1.0%
267.0 3
 
1.0%
320.7 3
 
1.0%
196.2 3
 
1.0%
311.04 2
 
0.7%
232.43 2
 
0.7%
Other values (125) 138
45.4%
(Missing) 74
24.3%
ValueCountFrequency (%)
0.0 65
21.4%
19.8 1
 
0.3%
62.81 1
 
0.3%
65.0 1
 
0.3%
74.64 1
 
0.3%
81.22 1
 
0.3%
82.91 2
 
0.7%
99.0 1
 
0.3%
110.0 1
 
0.3%
118.14 2
 
0.7%
ValueCountFrequency (%)
7847.4 1
0.3%
2461.2 1
0.3%
2373.5 2
0.7%
1298.12 1
0.3%
1238.6 1
0.3%
1065.0 1
0.3%
1056.13 1
0.3%
1052.0 1
0.3%
990.0 2
0.7%
980.0 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing304
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031500003150000-120-2003-0000120030902<NA>3폐업2폐업20050107<NA><NA><NA><NA><NA>157818서울특별시 강서구 공항동 768-1번지<NA><NA>(주)세호푸드 대표이사 이동준2004-01-09 00:00:00I2018-08-31 23:59:59.0위탁급식영업183621.307021450178.734038위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131500003150000-120-2003-0000320031009<NA>3폐업2폐업20080218<NA><NA><NA>0226695022687.00157270서울특별시 강서구 오쇠동 47번지<NA><NA>(주)이씨엠디아시아나김포점2004-01-09 00:00:00I2018-08-31 23:59:59.0위탁급식영업182086.388313449251.768967위탁급식영업319기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N687.0<NA><NA><NA>
231500003150000-120-2003-0000420031009<NA>3폐업2폐업20040218<NA><NA><NA>0236600491<NA>157210서울특별시 강서구 마곡동 5-16번지<NA><NA>(주)이씨엠디 아시아나마곡점2004-01-09 00:00:00I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331500003150000-120-2003-0000520031010<NA>3폐업2폐업20050404<NA><NA><NA>0260905515<NA>157290서울특별시 강서구 외발산동 426번지<NA><NA>(주)이씨엠디메이필드호텔2004-01-09 00:00:00I2018-08-31 23:59:59.0위탁급식영업183863.692502449443.610735위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431500003150000-120-2003-0000620031013<NA>3폐업2폐업20040220<NA><NA><NA>0226441253<NA>157837서울특별시 강서구 등촌동 563-2번지<NA><NA>(주)국제케더링2003-10-13 00:00:00I2018-08-31 23:59:59.0위탁급식영업187847.747812448589.939403위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531500003150000-120-2003-0000720031013<NA>3폐업2폐업20040224<NA><NA><NA>0226002537<NA>157010서울특별시 강서구 화곡동 산 204번지<NA><NA>씨제이푸드시스템(주)그리스도대점2004-01-09 00:00:00I2018-08-31 23:59:59.0위탁급식영업187221.730969449703.166202위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631500003150000-120-2003-0000920031013<NA>3폐업2폐업20050803<NA><NA><NA><NA><NA>157874서울특별시 강서구 화곡동 114-12번지<NA><NA>CJ푸드시스템(주) 황산부인과점2004-01-10 00:00:00I2018-08-31 23:59:59.0위탁급식영업186001.490296448899.50016위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731500003150000-120-2003-0001020031013<NA>3폐업2폐업20141015<NA><NA><NA>0221661195429.12157823서울특별시 강서구 과해동 676-0번지 외 2필지 이마트공항점 (지상 3층)서울특별시 강서구 하늘길 76, 3층 (과해동, 이마트공항점)7505(주)신세계푸드 이마트 김포공항점2013-12-30 13:46:06I2018-08-31 23:59:59.0위탁급식영업182141.205465451078.47991위탁급식영업09기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N429.12<NA><NA><NA>
831500003150000-120-2003-0001120031013<NA>3폐업2폐업20041122<NA><NA><NA><NA><NA>157280서울특별시 강서구 내발산동 119번지<NA><NA>CJ푸드시스템(주) 한국가스공사점2004-01-09 00:00:00I2018-08-31 23:59:59.0위탁급식영업186237.636869450556.12705위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931500003150000-120-2003-0001220031013<NA>3폐업2폐업20050629<NA><NA><NA>0220071822257.06157833서울특별시 강서구 내발산동 701-4번지<NA><NA>씨제이푸드시스템(주)강서미즈메디점2004-01-10 00:00:00I2018-08-31 23:59:59.0위탁급식영업185439.385067450008.139145위탁급식영업18주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N257.06<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
29431500003150000-120-2023-000132023-07-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA>214.08157-230서울특별시 강서구 개화동 663 1층서울특별시 강서구 개화동로8길 17, 1층 (개화동)7505강서차고지 구내식당2023-07-10 11:37:05I2022-12-06 23:03:00.0위탁급식영업182162.40643452733.565237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29531500003150000-120-2023-000142023-07-28<NA>1영업/정상1영업<NA><NA><NA><NA>031528123837.30157-937서울특별시 강서구 내발산동 750-1 베스트프라자빌딩 6층서울특별시 강서구 수명로 80, 베스트프라자빌딩 6층 (내발산동)7635주식회사 제이엠푸드2023-07-28 17:20:55I2022-12-06 21:00:00.0위탁급식영업184589.971673450120.866114<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29631500003150000-120-2023-000152023-10-10<NA>1영업/정상1영업<NA><NA><NA><NA><NA>541.10157-210서울특별시 강서구 마곡동 785-5 지하1층서울특별시 강서구 마곡중앙8로7길 39, 지하1층 (마곡동)7792자연밥상 디와이피엔에프점2023-10-10 17:24:39I2022-10-30 23:02:00.0위탁급식영업185699.885253451360.369824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29731500003150000-120-2023-000162023-10-12<NA>1영업/정상1영업<NA><NA><NA><NA>0234007795509.50157-210서울특별시 강서구 마곡동 780-2 2층서울특별시 강서구 마곡동로 124, 2층 (마곡동)7793(주)풀무원푸드앤컬처 에쓰오일 마곡2024-01-24 17:15:21U2023-11-30 22:06:00.0위탁급식영업185393.024174451531.147412<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29831500003150000-120-2023-000172023-11-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.05157-856서울특별시 강서구 방화동 820 지하1층서울특별시 강서구 금낭화로 170, 지하1층 (방화동)7508(주)금강푸드 김포교통2023-11-14 11:18:58I2022-10-31 23:06:00.0위탁급식영업183545.236313453136.448166<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29931500003150000-120-2023-000182023-11-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>621.73157-861서울특별시 강서구 염창동 244-3서울특별시 강서구 양천로 643, 1층 (염창동)7544현대그린푸드 KB염창전산센터2023-11-23 16:59:45I2022-10-31 22:05:00.0위탁급식영업188385.790412450185.534717<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30031500003150000-120-2023-000192023-12-29<NA>1영업/정상1영업<NA><NA><NA><NA>02339760001052.70157-841서울특별시 강서구 등촌동 653-25 등촌동KAL빌딩서울특별시 강서구 공항대로 453, 등촌동KAL빌딩 지하1층 (등촌동)7570(주)신세계푸드 대한항공인력개발센터2024-01-24 17:15:40U2023-11-30 22:06:00.0위탁급식영업187352.843019450261.240349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30131500003150000-120-2024-000012024-01-02<NA>1영업/정상1영업<NA><NA><NA><NA>0233976000742.53157-849서울특별시 강서구 방화동 499-1 대한항공빌딩 전산센터 1층서울특별시 강서구 양천로 13, 대한항공빌딩 전산센터 1층 (방화동)7516(주)신세계푸드 대한항공 전산센터2024-01-24 17:16:02U2023-11-30 22:06:00.0위탁급식영업182749.273937452356.969192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30231500003150000-120-2024-000022024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>876.00157-930서울특별시 강서구 등촌동 691-2 등촌고등학교 1층서울특별시 강서구 공항대로39길 115, 등촌고등학교 1층 (등촌동)7580제이제이케터링(주) 등촌고등학교2024-02-28 11:18:29I2023-12-03 00:01:00.0위탁급식영업186219.784163451181.205001<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30331500003150000-120-2024-000032024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>422.30157-849서울특별시 강서구 방화동 478-34 한서고등학교 1층서울특별시 강서구 양천로11길 47, 한서고등학교 1층 (방화동)7507세종에프앤에스(주) 한서고등학교2024-03-04 14:35:22I2023-12-03 00:06:00.0위탁급식영업183005.07921452488.40325<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>