Overview

Dataset statistics

Number of variables44
Number of observations596
Missing cells6752
Missing cells (%)25.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory219.6 KiB
Average record size in memory377.2 B

Variable types

Categorical18
Text7
DateTime4
Unsupported9
Numeric5
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18050/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (50.8%)Imbalance
남성종사자수 is highly imbalanced (81.3%)Imbalance
여성종사자수 is highly imbalanced (81.3%)Imbalance
급수시설구분명 is highly imbalanced (65.8%)Imbalance
총인원 is highly imbalanced (81.3%)Imbalance
공장사무직종업원수 is highly imbalanced (78.6%)Imbalance
공장판매직종업원수 is highly imbalanced (78.6%)Imbalance
공장생산직종업원수 is highly imbalanced (74.1%)Imbalance
보증액 is highly imbalanced (81.3%)Imbalance
월세액 is highly imbalanced (81.3%)Imbalance
인허가취소일자 has 596 (100.0%) missing valuesMissing
폐업일자 has 274 (46.0%) missing valuesMissing
휴업시작일자 has 596 (100.0%) missing valuesMissing
휴업종료일자 has 596 (100.0%) missing valuesMissing
재개업일자 has 596 (100.0%) missing valuesMissing
전화번호 has 276 (46.3%) missing valuesMissing
소재지면적 has 18 (3.0%) missing valuesMissing
도로명주소 has 66 (11.1%) missing valuesMissing
도로명우편번호 has 71 (11.9%) missing valuesMissing
영업장주변구분명 has 596 (100.0%) missing valuesMissing
등급구분명 has 596 (100.0%) missing valuesMissing
본사종업원수 has 545 (91.4%) missing valuesMissing
다중이용업소여부 has 64 (10.7%) missing valuesMissing
시설총규모 has 64 (10.7%) missing valuesMissing
전통업소지정번호 has 596 (100.0%) missing valuesMissing
전통업소주된음식 has 596 (100.0%) missing valuesMissing
홈페이지 has 596 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 21.13329242)Skewed
관리번호 has unique valuesUnique
최종수정일자 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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 has 46 (7.7%) zerosZeros
시설총규모 has 515 (86.4%) zerosZeros

Reproduction

Analysis started2024-04-17 19:21:13.078514
Analysis finished2024-04-17 19:21:13.764232
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3230000
596 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 596
100.0%

Length

2024-04-18T04:21:13.812553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:13.881009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 596
100.0%

관리번호
Text

UNIQUE 

Distinct596
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-18T04:21:14.011889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters13112
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

Unique596 ?
Unique (%)100.0%

Sample

1st row3230000-122-2008-00001
2nd row3230000-122-2008-00002
3rd row3230000-122-2008-00003
4th row3230000-122-2008-00004
5th row3230000-122-2008-00005
ValueCountFrequency (%)
3230000-122-2008-00001 1
 
0.2%
3230000-122-2014-00017 1
 
0.2%
3230000-122-2014-00026 1
 
0.2%
3230000-122-2014-00020 1
 
0.2%
3230000-122-2014-00021 1
 
0.2%
3230000-122-2014-00022 1
 
0.2%
3230000-122-2014-00023 1
 
0.2%
3230000-122-2014-00024 1
 
0.2%
3230000-122-2014-00025 1
 
0.2%
3230000-122-2014-00027 1
 
0.2%
Other values (586) 586
98.3%
2024-04-18T04:21:14.288982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5182
39.5%
2 2688
20.5%
- 1788
 
13.6%
3 1356
 
10.3%
1 1290
 
9.8%
8 199
 
1.5%
4 162
 
1.2%
9 124
 
0.9%
5 123
 
0.9%
6 105
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11324
86.4%
Dash Punctuation 1788
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5182
45.8%
2 2688
23.7%
3 1356
 
12.0%
1 1290
 
11.4%
8 199
 
1.8%
4 162
 
1.4%
9 124
 
1.1%
5 123
 
1.1%
6 105
 
0.9%
7 95
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1788
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5182
39.5%
2 2688
20.5%
- 1788
 
13.6%
3 1356
 
10.3%
1 1290
 
9.8%
8 199
 
1.5%
4 162
 
1.2%
9 124
 
0.9%
5 123
 
0.9%
6 105
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5182
39.5%
2 2688
20.5%
- 1788
 
13.6%
3 1356
 
10.3%
1 1290
 
9.8%
8 199
 
1.5%
4 162
 
1.2%
9 124
 
0.9%
5 123
 
0.9%
6 105
 
0.8%
Distinct512
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2008-03-18 00:00:00
Maximum2024-04-16 00:00:00
2024-04-18T04:21:14.411423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:21:14.744616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
3
322 
1
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 322
54.0%
1 274
46.0%

Length

2024-04-18T04:21:14.854409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:14.927884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 322
54.0%
1 274
46.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
폐업
322 
영업/정상
274 

Length

Max length5
Median length2
Mean length3.3791946
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 322
54.0%
영업/정상 274
46.0%

Length

2024-04-18T04:21:15.010174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:15.087246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 322
54.0%
영업/정상 274
46.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2
322 
1
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 322
54.0%
1 274
46.0%

Length

2024-04-18T04:21:15.180282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:15.261382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 322
54.0%
1 274
46.0%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
폐업
322 
영업
274 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 322
54.0%
영업 274
46.0%

Length

2024-04-18T04:21:15.346444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:15.421790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 322
54.0%
영업 274
46.0%

폐업일자
Date

MISSING 

Distinct241
Distinct (%)74.8%
Missing274
Missing (%)46.0%
Memory size4.8 KiB
Minimum2009-02-13 00:00:00
Maximum2024-01-18 00:00:00
2024-04-18T04:21:15.499288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:21:15.601739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

전화번호
Text

MISSING 

Distinct310
Distinct (%)96.9%
Missing276
Missing (%)46.3%
Memory size4.8 KiB
2024-04-18T04:21:15.881224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.496875
Min length2

Characters and Unicode

Total characters3679
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

Unique301 ?
Unique (%)94.1%

Sample

1st row02 422 2618
2nd row02 443 2600
3rd row4083351
4th row449 0271
5th row425 0477
ValueCountFrequency (%)
02 230
28.8%
407 35
 
4.4%
070 17
 
2.1%
031 16
 
2.0%
409 12
 
1.5%
431 11
 
1.4%
402 10
 
1.3%
400 8
 
1.0%
401 8
 
1.0%
443 8
 
1.0%
Other values (369) 444
55.6%
2024-04-18T04:21:16.272447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 701
19.1%
700
19.0%
2 476
12.9%
4 434
11.8%
3 249
 
6.8%
7 242
 
6.6%
1 233
 
6.3%
8 188
 
5.1%
6 156
 
4.2%
5 150
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2979
81.0%
Space Separator 700
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 701
23.5%
2 476
16.0%
4 434
14.6%
3 249
 
8.4%
7 242
 
8.1%
1 233
 
7.8%
8 188
 
6.3%
6 156
 
5.2%
5 150
 
5.0%
9 150
 
5.0%
Space Separator
ValueCountFrequency (%)
700
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3679
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 701
19.1%
700
19.0%
2 476
12.9%
4 434
11.8%
3 249
 
6.8%
7 242
 
6.6%
1 233
 
6.3%
8 188
 
5.1%
6 156
 
4.2%
5 150
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3679
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 701
19.1%
700
19.0%
2 476
12.9%
4 434
11.8%
3 249
 
6.8%
7 242
 
6.6%
1 233
 
6.3%
8 188
 
5.1%
6 156
 
4.2%
5 150
 
4.1%

소재지면적
Text

MISSING 

Distinct303
Distinct (%)52.4%
Missing18
Missing (%)3.0%
Memory size4.8 KiB
2024-04-18T04:21:16.584796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.0346021
Min length3

Characters and Unicode

Total characters2910
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

Unique219 ?
Unique (%)37.9%

Sample

1st row150.00
2nd row33.00
3rd row118.68
4th row90.00
5th row55.11
ValueCountFrequency (%)
33.00 24
 
4.2%
20.00 21
 
3.6%
30.00 17
 
2.9%
10.00 13
 
2.2%
16.50 13
 
2.2%
66.00 12
 
2.1%
25.00 10
 
1.7%
40.00 9
 
1.6%
26.00 7
 
1.2%
42.54 7
 
1.2%
Other values (293) 445
77.0%
2024-04-18T04:21:16.984238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 831
28.6%
. 578
19.9%
2 234
 
8.0%
3 230
 
7.9%
1 224
 
7.7%
6 172
 
5.9%
5 167
 
5.7%
4 163
 
5.6%
9 144
 
4.9%
8 87
 
3.0%
Other values (2) 80
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2331
80.1%
Other Punctuation 579
 
19.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 831
35.6%
2 234
 
10.0%
3 230
 
9.9%
1 224
 
9.6%
6 172
 
7.4%
5 167
 
7.2%
4 163
 
7.0%
9 144
 
6.2%
8 87
 
3.7%
7 79
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 578
99.8%
, 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 831
28.6%
. 578
19.9%
2 234
 
8.0%
3 230
 
7.9%
1 224
 
7.7%
6 172
 
5.9%
5 167
 
5.7%
4 163
 
5.6%
9 144
 
4.9%
8 87
 
3.0%
Other values (2) 80
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 831
28.6%
. 578
19.9%
2 234
 
8.0%
3 230
 
7.9%
1 224
 
7.7%
6 172
 
5.9%
5 167
 
5.7%
4 163
 
5.6%
9 144
 
4.9%
8 87
 
3.0%
Other values (2) 80
 
2.7%
Distinct110
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-18T04:21:17.223346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0721477
Min length6

Characters and Unicode

Total characters3619
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

Unique41 ?
Unique (%)6.9%

Sample

1st row138806
2nd row138829
3rd row138855
4th row138826
5th row138865
ValueCountFrequency (%)
138881 155
26.0%
138200 30
 
5.0%
138813 20
 
3.4%
138805 17
 
2.9%
138803 15
 
2.5%
138858 14
 
2.3%
138825 13
 
2.2%
138806 13
 
2.2%
138812 11
 
1.8%
138874 11
 
1.8%
Other values (100) 297
49.8%
2024-04-18T04:21:17.544082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1344
37.1%
1 873
24.1%
3 664
18.3%
0 195
 
5.4%
5 132
 
3.6%
2 117
 
3.2%
4 72
 
2.0%
7 67
 
1.9%
6 57
 
1.6%
9 55
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3576
98.8%
Dash Punctuation 43
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1344
37.6%
1 873
24.4%
3 664
18.6%
0 195
 
5.5%
5 132
 
3.7%
2 117
 
3.3%
4 72
 
2.0%
7 67
 
1.9%
6 57
 
1.6%
9 55
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3619
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1344
37.1%
1 873
24.1%
3 664
18.3%
0 195
 
5.4%
5 132
 
3.6%
2 117
 
3.2%
4 72
 
2.0%
7 67
 
1.9%
6 57
 
1.6%
9 55
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3619
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1344
37.1%
1 873
24.1%
3 664
18.3%
0 195
 
5.4%
5 132
 
3.6%
2 117
 
3.2%
4 72
 
2.0%
7 67
 
1.9%
6 57
 
1.6%
9 55
 
1.5%
Distinct515
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-18T04:21:17.826993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length25.535235
Min length16

Characters and Unicode

Total characters15219
Distinct characters197
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

Unique486 ?
Unique (%)81.5%

Sample

1st row서울특별시 송파구 가락동 119-0
2nd row서울특별시 송파구 방이동 93-4
3rd row서울특별시 송파구 오금동 5 지상2층
4th row서울특별시 송파구 문정동 52-12 B1
5th row서울특별시 송파구 잠실동 312-17 2층
ValueCountFrequency (%)
서울특별시 595
19.2%
송파구 595
19.2%
가락동 305
 
9.9%
600 162
 
5.2%
지상1층 74
 
2.4%
문정동 72
 
2.3%
오금동 53
 
1.7%
거여동 42
 
1.4%
1층 38
 
1.2%
마천동 34
 
1.1%
Other values (643) 1126
36.4%
2024-04-18T04:21:18.463011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2935
19.3%
1 705
 
4.6%
704
 
4.6%
689
 
4.5%
644
 
4.2%
625
 
4.1%
607
 
4.0%
605
 
4.0%
596
 
3.9%
595
 
3.9%
Other values (187) 6514
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8803
57.8%
Decimal Number 2984
 
19.6%
Space Separator 2935
 
19.3%
Dash Punctuation 439
 
2.9%
Uppercase Letter 30
 
0.2%
Other Punctuation 19
 
0.1%
Math Symbol 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
704
 
8.0%
689
 
7.8%
644
 
7.3%
625
 
7.1%
607
 
6.9%
605
 
6.9%
596
 
6.8%
595
 
6.8%
595
 
6.8%
362
 
4.1%
Other values (154) 2781
31.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
20.0%
K 5
16.7%
S 4
13.3%
T 3
10.0%
R 2
 
6.7%
A 1
 
3.3%
L 1
 
3.3%
E 1
 
3.3%
I 1
 
3.3%
D 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
1 705
23.6%
0 534
17.9%
2 328
11.0%
6 302
10.1%
3 282
 
9.5%
4 194
 
6.5%
5 176
 
5.9%
9 174
 
5.8%
7 162
 
5.4%
8 127
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 11
57.9%
/ 7
36.8%
? 1
 
5.3%
Space Separator
ValueCountFrequency (%)
2935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 439
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8803
57.8%
Common 6386
42.0%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
704
 
8.0%
689
 
7.8%
644
 
7.3%
625
 
7.1%
607
 
6.9%
605
 
6.9%
596
 
6.8%
595
 
6.8%
595
 
6.8%
362
 
4.1%
Other values (154) 2781
31.6%
Common
ValueCountFrequency (%)
2935
46.0%
1 705
 
11.0%
0 534
 
8.4%
- 439
 
6.9%
2 328
 
5.1%
6 302
 
4.7%
3 282
 
4.4%
4 194
 
3.0%
5 176
 
2.8%
9 174
 
2.7%
Other values (8) 317
 
5.0%
Latin
ValueCountFrequency (%)
C 6
20.0%
K 5
16.7%
S 4
13.3%
T 3
10.0%
R 2
 
6.7%
A 1
 
3.3%
L 1
 
3.3%
E 1
 
3.3%
I 1
 
3.3%
D 1
 
3.3%
Other values (5) 5
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8803
57.8%
ASCII 6416
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2935
45.7%
1 705
 
11.0%
0 534
 
8.3%
- 439
 
6.8%
2 328
 
5.1%
6 302
 
4.7%
3 282
 
4.4%
4 194
 
3.0%
5 176
 
2.7%
9 174
 
2.7%
Other values (23) 347
 
5.4%
Hangul
ValueCountFrequency (%)
704
 
8.0%
689
 
7.8%
644
 
7.3%
625
 
7.1%
607
 
6.9%
605
 
6.9%
596
 
6.8%
595
 
6.8%
595
 
6.8%
362
 
4.1%
Other values (154) 2781
31.6%

도로명주소
Text

MISSING 

Distinct508
Distinct (%)95.8%
Missing66
Missing (%)11.1%
Memory size4.8 KiB
2024-04-18T04:21:18.788786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length55
Mean length36.158491
Min length22

Characters and Unicode

Total characters19164
Distinct characters227
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

Unique492 ?
Unique (%)92.8%

Sample

1st row서울특별시 송파구 올림픽로32길 42-26 (방이동)
2nd row서울특별시 송파구 위례성대로22가길 20, 지상2층 (오금동)
3rd row서울특별시 송파구 백제고분로14길 4-14, 2층 (잠실동)
4th row서울특별시 송파구 양재대로 932, 가락동 농수산물도매시장 업무동 9층 23호 (가락동)
5th row서울특별시 송파구 새말로 125 (문정동,2층)
ValueCountFrequency (%)
서울특별시 529
 
14.5%
송파구 529
 
14.5%
가락동 217
 
6.0%
양재대로 148
 
4.1%
932 147
 
4.0%
1층 106
 
2.9%
지상1층 74
 
2.0%
문정동 53
 
1.5%
지하1층 48
 
1.3%
오금동 43
 
1.2%
Other values (763) 1747
48.0%
2024-04-18T04:21:19.196584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3113
 
16.2%
1 845
 
4.4%
708
 
3.7%
637
 
3.3%
628
 
3.3%
, 618
 
3.2%
616
 
3.2%
2 561
 
2.9%
544
 
2.8%
540
 
2.8%
Other values (217) 10354
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10898
56.9%
Decimal Number 3237
 
16.9%
Space Separator 3113
 
16.2%
Other Punctuation 623
 
3.3%
Open Punctuation 532
 
2.8%
Close Punctuation 532
 
2.8%
Dash Punctuation 179
 
0.9%
Uppercase Letter 47
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
708
 
6.5%
637
 
5.8%
628
 
5.8%
616
 
5.7%
544
 
5.0%
540
 
5.0%
531
 
4.9%
529
 
4.9%
529
 
4.9%
526
 
4.8%
Other values (180) 5110
46.9%
Uppercase Letter
ValueCountFrequency (%)
C 9
19.1%
T 5
10.6%
K 5
10.6%
G 4
8.5%
A 4
8.5%
D 3
 
6.4%
S 2
 
4.3%
R 2
 
4.3%
P 2
 
4.3%
L 2
 
4.3%
Other values (9) 9
19.1%
Decimal Number
ValueCountFrequency (%)
1 845
26.1%
2 561
17.3%
3 484
15.0%
0 304
 
9.4%
9 230
 
7.1%
4 222
 
6.9%
6 176
 
5.4%
5 153
 
4.7%
8 134
 
4.1%
7 128
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 618
99.2%
/ 4
 
0.6%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 532
100.0%
Close Punctuation
ValueCountFrequency (%)
) 532
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10898
56.9%
Common 8219
42.9%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
708
 
6.5%
637
 
5.8%
628
 
5.8%
616
 
5.7%
544
 
5.0%
540
 
5.0%
531
 
4.9%
529
 
4.9%
529
 
4.9%
526
 
4.8%
Other values (180) 5110
46.9%
Latin
ValueCountFrequency (%)
C 9
19.1%
T 5
10.6%
K 5
10.6%
G 4
8.5%
A 4
8.5%
D 3
 
6.4%
S 2
 
4.3%
R 2
 
4.3%
P 2
 
4.3%
L 2
 
4.3%
Other values (9) 9
19.1%
Common
ValueCountFrequency (%)
3113
37.9%
1 845
 
10.3%
, 618
 
7.5%
2 561
 
6.8%
( 532
 
6.5%
) 532
 
6.5%
3 484
 
5.9%
0 304
 
3.7%
9 230
 
2.8%
4 222
 
2.7%
Other values (8) 778
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10898
56.9%
ASCII 8266
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3113
37.7%
1 845
 
10.2%
, 618
 
7.5%
2 561
 
6.8%
( 532
 
6.4%
) 532
 
6.4%
3 484
 
5.9%
0 304
 
3.7%
9 230
 
2.8%
4 222
 
2.7%
Other values (27) 825
 
10.0%
Hangul
ValueCountFrequency (%)
708
 
6.5%
637
 
5.8%
628
 
5.8%
616
 
5.7%
544
 
5.0%
540
 
5.0%
531
 
4.9%
529
 
4.9%
529
 
4.9%
526
 
4.8%
Other values (180) 5110
46.9%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct147
Distinct (%)28.0%
Missing71
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean5726.7943
Minimum5510
Maximum13017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-18T04:21:19.330361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5542
Q15699
median5699
Q35761
95-th percentile5828.8
Maximum13017
Range7507
Interquartile range (IQR)62

Descriptive statistics

Standard deviation327.41119
Coefficient of variation (CV)0.057171809
Kurtosis471.48402
Mean5726.7943
Median Absolute Deviation (MAD)37
Skewness21.133292
Sum3006567
Variance107198.09
MonotonicityNot monotonic
2024-04-18T04:21:19.470715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5699 147
24.7%
5719 20
 
3.4%
5744 9
 
1.5%
5829 9
 
1.5%
5728 9
 
1.5%
5822 8
 
1.3%
5838 7
 
1.2%
5810 7
 
1.2%
5668 7
 
1.2%
5798 7
 
1.2%
Other values (137) 295
49.5%
(Missing) 71
 
11.9%
ValueCountFrequency (%)
5510 3
0.5%
5513 1
 
0.2%
5514 1
 
0.2%
5515 1
 
0.2%
5517 2
 
0.3%
5520 1
 
0.2%
5526 7
1.2%
5530 2
 
0.3%
5531 1
 
0.2%
5533 3
0.5%
ValueCountFrequency (%)
13017 1
 
0.2%
5855 1
 
0.2%
5854 3
 
0.5%
5839 1
 
0.2%
5838 7
1.2%
5837 1
 
0.2%
5833 2
 
0.3%
5831 2
 
0.3%
5829 9
1.5%
5828 1
 
0.2%
Distinct571
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-18T04:21:19.693040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length6.7667785
Min length2

Characters and Unicode

Total characters4033
Distinct characters358
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

Unique546 ?
Unique (%)91.6%

Sample

1st row제일푸드원
2nd row(주)동해수산
3rd row(주)유라푸드
4th row해성푸드
5th row보상농산(주)
ValueCountFrequency (%)
주식회사 33
 
4.6%
농업회사법인 12
 
1.7%
유한회사 8
 
1.1%
서울지점 5
 
0.7%
푸드 4
 
0.6%
조은유통 3
 
0.4%
삼육축산 2
 
0.3%
푸드인 2
 
0.3%
미트원에프앤디 2
 
0.3%
주)일오삼에이치엔에프 2
 
0.3%
Other values (612) 641
89.8%
2024-04-18T04:21:20.003114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
 
6.0%
) 231
 
5.7%
( 229
 
5.7%
148
 
3.7%
147
 
3.6%
141
 
3.5%
118
 
2.9%
105
 
2.6%
95
 
2.4%
88
 
2.2%
Other values (348) 2491
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3354
83.2%
Close Punctuation 231
 
5.7%
Open Punctuation 229
 
5.7%
Space Separator 118
 
2.9%
Uppercase Letter 58
 
1.4%
Decimal Number 17
 
0.4%
Lowercase Letter 13
 
0.3%
Other Punctuation 12
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
240
 
7.2%
148
 
4.4%
147
 
4.4%
141
 
4.2%
105
 
3.1%
95
 
2.8%
88
 
2.6%
85
 
2.5%
83
 
2.5%
75
 
2.2%
Other values (313) 2147
64.0%
Uppercase Letter
ValueCountFrequency (%)
S 18
31.0%
F 13
22.4%
M 5
 
8.6%
T 4
 
6.9%
C 3
 
5.2%
G 3
 
5.2%
D 3
 
5.2%
O 2
 
3.4%
B 2
 
3.4%
P 1
 
1.7%
Other values (4) 4
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
e 3
23.1%
a 2
15.4%
d 1
 
7.7%
r 1
 
7.7%
u 1
 
7.7%
n 1
 
7.7%
g 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 5
29.4%
2 3
17.6%
8 3
17.6%
4 3
17.6%
9 2
 
11.8%
0 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
& 6
50.0%
. 5
41.7%
? 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3354
83.2%
Common 608
 
15.1%
Latin 71
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
240
 
7.2%
148
 
4.4%
147
 
4.4%
141
 
4.2%
105
 
3.1%
95
 
2.8%
88
 
2.6%
85
 
2.5%
83
 
2.5%
75
 
2.2%
Other values (313) 2147
64.0%
Latin
ValueCountFrequency (%)
S 18
25.4%
F 13
18.3%
M 5
 
7.0%
T 4
 
5.6%
o 3
 
4.2%
e 3
 
4.2%
C 3
 
4.2%
G 3
 
4.2%
D 3
 
4.2%
O 2
 
2.8%
Other values (12) 14
19.7%
Common
ValueCountFrequency (%)
) 231
38.0%
( 229
37.7%
118
19.4%
& 6
 
1.0%
. 5
 
0.8%
1 5
 
0.8%
2 3
 
0.5%
8 3
 
0.5%
4 3
 
0.5%
9 2
 
0.3%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3354
83.2%
ASCII 679
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
240
 
7.2%
148
 
4.4%
147
 
4.4%
141
 
4.2%
105
 
3.1%
95
 
2.8%
88
 
2.6%
85
 
2.5%
83
 
2.5%
75
 
2.2%
Other values (313) 2147
64.0%
ASCII
ValueCountFrequency (%)
) 231
34.0%
( 229
33.7%
118
17.4%
S 18
 
2.7%
F 13
 
1.9%
& 6
 
0.9%
. 5
 
0.7%
M 5
 
0.7%
1 5
 
0.7%
T 4
 
0.6%
Other values (25) 45
 
6.6%

최종수정일자
Date

UNIQUE 

Distinct596
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2008-03-18 10:24:36
Maximum2024-04-16 12:41:55
2024-04-18T04:21:20.154048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:21:20.302130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
I
471 
U
125 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 471
79.0%
U 125
 
21.0%

Length

2024-04-18T04:21:20.438320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:20.512769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 471
79.0%
u 125
 
21.0%
Distinct174
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-18T04:21:20.594147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:21:20.703981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
집단급식소 식품판매업
596 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 596
100.0%

Length

2024-04-18T04:21:20.831659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:20.913056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 596
50.0%
식품판매업 596
50.0%

좌표정보(X)
Real number (ℝ)

Distinct314
Distinct (%)53.1%
Missing5
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean210732.38
Minimum207065.88
Maximum217083.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-18T04:21:21.000308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207065.88
5-th percentile209321.15
Q1209790.96
median210544.06
Q3211475.27
95-th percentile213161.56
Maximum217083.87
Range10017.99
Interquartile range (IQR)1684.3081

Descriptive statistics

Standard deviation1291.6917
Coefficient of variation (CV)0.0061295359
Kurtosis0.99663395
Mean210732.38
Median Absolute Deviation (MAD)753.10447
Skewness0.46289896
Sum1.2454284 × 108
Variance1668467.5
MonotonicityNot monotonic
2024-04-18T04:21:21.119694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209790.959909032 162
27.2%
209486.793951821 7
 
1.2%
210431.832858016 6
 
1.0%
210491.321883503 6
 
1.0%
210986.460698452 5
 
0.8%
210732.145627948 4
 
0.7%
210719.980888932 4
 
0.7%
211314.381455567 4
 
0.7%
210544.064382887 3
 
0.5%
211182.7 3
 
0.5%
Other values (304) 387
64.9%
(Missing) 5
 
0.8%
ValueCountFrequency (%)
207065.879501591 1
0.2%
207108.843411657 1
0.2%
207124.06550361 1
0.2%
207227.601437566 2
0.3%
207263.474567538 2
0.3%
207283.657150807 1
0.2%
207452.424152885 2
0.3%
207485.930431547 1
0.2%
207648.609946581 1
0.2%
208322.695120426 1
0.2%
ValueCountFrequency (%)
217083.869212807 1
0.2%
213886.824622785 1
0.2%
213862.955350277 1
0.2%
213842.444758266 1
0.2%
213796.98325289 1
0.2%
213756.046105161 2
0.3%
213731.515116567 1
0.2%
213718.55217106 1
0.2%
213671.350094068 1
0.2%
213649.979334509 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct314
Distinct (%)53.1%
Missing5
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean443968.3
Minimum441537.24
Maximum448508.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-18T04:21:21.232139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441537.24
5-th percentile442620.87
Q1443481.21
median443508.22
Q3444392.85
95-th percentile445913.09
Maximum448508.57
Range6971.3278
Interquartile range (IQR)911.64283

Descriptive statistics

Standard deviation1146.4552
Coefficient of variation (CV)0.0025822907
Kurtosis3.9689113
Mean443968.3
Median Absolute Deviation (MAD)406.08877
Skewness1.6488362
Sum2.6238527 × 108
Variance1314359.6
MonotonicityNot monotonic
2024-04-18T04:21:21.345819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443481.212174317 162
27.2%
444895.395901482 7
 
1.2%
443465.4592322 6
 
1.0%
443569.763243482 6
 
1.0%
441725.293491662 5
 
0.8%
443731.087627262 4
 
0.7%
444946.208368597 4
 
0.7%
443894.924107547 4
 
0.7%
443492.364981682 3
 
0.5%
442385.99 3
 
0.5%
Other values (304) 387
64.9%
(Missing) 5
 
0.8%
ValueCountFrequency (%)
441537.243988221 1
 
0.2%
441633.255096118 1
 
0.2%
441720.322 1
 
0.2%
441725.293491662 5
0.8%
441730.920486073 1
 
0.2%
442026.988783 2
 
0.3%
442053.227933005 1
 
0.2%
442136.290960699 1
 
0.2%
442163.308563343 2
 
0.3%
442187.251409513 1
 
0.2%
ValueCountFrequency (%)
448508.571759729 1
0.2%
448500.53596624 1
0.2%
448439.202290106 1
0.2%
448420.462280533 2
0.3%
448195.762335485 1
0.2%
448084.667861564 1
0.2%
447961.830409897 1
0.2%
447946.388441174 2
0.3%
447917.18757645 1
0.2%
447883.023144271 1
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
집단급식소 식품판매업
532 
<NA>
64 

Length

Max length11
Median length11
Mean length10.248322
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 532
89.3%
<NA> 64
 
10.7%

Length

2024-04-18T04:21:21.708295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:21.802441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 532
47.2%
식품판매업 532
47.2%
na 64
 
5.7%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
579 
0
 
17

Length

Max length4
Median length4
Mean length3.9144295
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> 579
97.1%
0 17
 
2.9%

Length

2024-04-18T04:21:21.908362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:21.991792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 579
97.1%
0 17
 
2.9%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
579 
0
 
17

Length

Max length4
Median length4
Mean length3.9144295
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> 579
97.1%
0 17
 
2.9%

Length

2024-04-18T04:21:22.078642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:22.162156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 579
97.1%
0 17
 
2.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
558 
상수도전용
 
38

Length

Max length5
Median length4
Mean length4.0637584
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 558
93.6%
상수도전용 38
 
6.4%

Length

2024-04-18T04:21:22.241442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:22.316633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 558
93.6%
상수도전용 38
 
6.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
579 
0
 
17

Length

Max length4
Median length4
Mean length3.9144295
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> 579
97.1%
0 17
 
2.9%

Length

2024-04-18T04:21:22.408581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:22.486821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 579
97.1%
0 17
 
2.9%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)11.8%
Missing545
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean0.78431373
Minimum0
Maximum20
Zeros46
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-18T04:21:22.551961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.5
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1452423
Coefficient of variation (CV)4.0101839
Kurtosis29.380633
Mean0.78431373
Median Absolute Deviation (MAD)0
Skewness5.1766175
Sum40
Variance9.892549
MonotonicityNot monotonic
2024-04-18T04:21:22.639852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 46
 
7.7%
9 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
20 1
 
0.2%
5 1
 
0.2%
(Missing) 545
91.4%
ValueCountFrequency (%)
0 46
7.7%
2 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
9 1
 
0.2%
20 1
 
0.2%
ValueCountFrequency (%)
20 1
 
0.2%
9 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
0 46
7.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
548 
0
 
46
8
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7583893
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 548
91.9%
0 46
 
7.7%
8 1
 
0.2%
1 1
 
0.2%

Length

2024-04-18T04:21:22.740566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:22.821613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 548
91.9%
0 46
 
7.7%
8 1
 
0.2%
1 1
 
0.2%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
548 
0
 
46
16
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7600671
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 548
91.9%
0 46
 
7.7%
16 1
 
0.2%
3 1
 
0.2%

Length

2024-04-18T04:21:22.909559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:22.988146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 548
91.9%
0 46
 
7.7%
16 1
 
0.2%
3 1
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
549 
0
 
46
9
 
1

Length

Max length4
Median length4
Mean length3.7634228
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 549
92.1%
0 46
 
7.7%
9 1
 
0.2%

Length

2024-04-18T04:21:23.071423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:23.150276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 549
92.1%
0 46
 
7.7%
9 1
 
0.2%
Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
296 
임대
191 
자가
109 

Length

Max length4
Median length2
Mean length2.9932886
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 296
49.7%
임대 191
32.0%
자가 109
 
18.3%

Length

2024-04-18T04:21:23.241963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:23.333944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
49.7%
임대 191
32.0%
자가 109
 
18.3%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
579 
0
 
17

Length

Max length4
Median length4
Mean length3.9144295
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> 579
97.1%
0 17
 
2.9%

Length

2024-04-18T04:21:23.419941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:23.498770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 579
97.1%
0 17
 
2.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
579 
0
 
17

Length

Max length4
Median length4
Mean length3.9144295
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> 579
97.1%
0 17
 
2.9%

Length

2024-04-18T04:21:23.594107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:21:23.671450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 579
97.1%
0 17
 
2.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing64
Missing (%)10.7%
Memory size1.3 KiB
False
532 
(Missing)
64 
ValueCountFrequency (%)
False 532
89.3%
(Missing) 64
 
10.7%
2024-04-18T04:21:23.730669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)2.8%
Missing64
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean2.0595301
Minimum0
Maximum421.39
Zeros515
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-04-18T04:21:23.797018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum421.39
Range421.39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.942947
Coefficient of variation (CV)9.6832513
Kurtosis371.01168
Mean2.0595301
Median Absolute Deviation (MAD)0
Skewness18.061427
Sum1095.67
Variance397.72115
MonotonicityNot monotonic
2024-04-18T04:21:23.882767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 515
86.4%
30.0 3
 
0.5%
42.54 2
 
0.3%
22.0 1
 
0.2%
54.3 1
 
0.2%
40.4 1
 
0.2%
49.4 1
 
0.2%
421.39 1
 
0.2%
35.0 1
 
0.2%
66.0 1
 
0.2%
Other values (5) 5
 
0.8%
(Missing) 64
 
10.7%
ValueCountFrequency (%)
0.0 515
86.4%
6.7 1
 
0.2%
20.0 1
 
0.2%
22.0 1
 
0.2%
30.0 3
 
0.5%
33.0 1
 
0.2%
35.0 1
 
0.2%
40.4 1
 
0.2%
42.54 2
 
0.3%
49.4 1
 
0.2%
ValueCountFrequency (%)
421.39 1
0.2%
92.4 1
0.2%
80.0 1
0.2%
66.0 1
0.2%
54.3 1
0.2%
49.4 1
0.2%
42.54 2
0.3%
40.4 1
0.2%
35.0 1
0.2%
33.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing596
Missing (%)100.0%
Memory size5.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032300003230000-122-2008-0000120080318<NA>3폐업2폐업20091209<NA><NA><NA><NA>150.00138806서울특별시 송파구 가락동 119-0<NA><NA>제일푸드원2008-03-18 10:24:36I2018-08-31 23:59:59.0집단급식소 식품판매업210928.721133443370.211597집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
132300003230000-122-2008-0000220080318<NA>1영업/정상1영업<NA><NA><NA><NA>02 422 261833.00138829서울특별시 송파구 방이동 93-4서울특별시 송파구 올림픽로32길 42-26 (방이동)5549(주)동해수산2023-01-03 11:43:34U2022-12-01 00:05:00.0집단급식소 식품판매업209659.734135445534.533151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232300003230000-122-2008-0000320080318<NA>3폐업2폐업20161226<NA><NA><NA>02 443 2600118.68138855서울특별시 송파구 오금동 5 지상2층서울특별시 송파구 위례성대로22가길 20, 지상2층 (오금동)5654(주)유라푸드2016-12-24 13:56:48I2018-08-31 23:59:59.0집단급식소 식품판매업211694.835115445200.005312집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
332300003230000-122-2008-0000420080319<NA>3폐업2폐업20120628<NA><NA><NA>408335190.00138826서울특별시 송파구 문정동 52-12 B1<NA><NA>해성푸드2010-06-21 17:29:47I2018-08-31 23:59:59.0집단급식소 식품판매업210801.540989442769.408158집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
432300003230000-122-2008-0000520080319<NA>1영업/정상1영업<NA><NA><NA><NA>449 027155.11138865서울특별시 송파구 잠실동 312-17 2층서울특별시 송파구 백제고분로14길 4-14, 2층 (잠실동)5575보상농산(주)2018-08-01 10:25:17I2018-08-31 23:59:59.0집단급식소 식품판매업207227.601438444767.414832집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
532300003230000-122-2008-000062008-03-19<NA>1영업/정상1영업<NA><NA><NA><NA>425 047727.97138-881서울특별시 송파구 가락동 600 가락동 농수산물도매시장서울특별시 송파구 양재대로 932, 가락동 농수산물도매시장 업무동 9층 23호 (가락동)5699농업회사법인 주식회사 양양2023-09-08 13:36:35U2022-12-08 23:00:00.0집단급식소 식품판매업209790.959909443481.212174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
632300003230000-122-2008-0000720080331<NA>3폐업2폐업20091207<NA><NA><NA>02 407 2061205.06138804서울특별시 송파구 가락동 93-3 영창빌딩 1층<NA><NA>엠라인2008-03-31 16:24:58I2018-08-31 23:59:59.0집단급식소 식품판매업210310.209196444051.533056집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
732300003230000-122-2008-0000820080402<NA>1영업/정상1영업<NA><NA><NA><NA>430777334.60138200서울특별시 송파구 문정동 85 2층서울특별시 송파구 새말로 125 (문정동,2층)5809국제해양수산(주)2008-04-02 11:35:09I2018-08-31 23:59:59.0집단급식소 식품판매업211255.759613442338.115571집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
832300003230000-122-2008-0000920080403<NA>1영업/정상1영업<NA><NA><NA><NA>02 407 045054.00138881서울특별시 송파구 가락동 600 청관1-1서울특별시 송파구 양재대로 932 (가락동,청관1-1)5699(주)우주식품디씨오피2008-04-03 13:59:50I2018-08-31 23:59:59.0집단급식소 식품판매업209790.959909443481.212174집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
932300003230000-122-2008-0001020080404<NA>3폐업2폐업20201029<NA><NA><NA>402 3705420.00138813서울특별시 송파구 거여동 19-8 5층,6층,지층서울특별시 송파구 오금로 457, 5층,6층,지층 (거여동)5743(주)미래푸드시스템2020-10-29 09:36:41U2020-10-31 02:40:00.0집단급식소 식품판매업212347.784745443695.65827집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
58632300003230000-122-2023-000082023-11-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.00138-813서울특별시 송파구 거여동 17-9서울특별시 송파구 오금로53길 8, 1층 102호 (거여동)5744에이치제이푸드2023-11-03 13:53:28I2022-11-01 00:05:00.0집단급식소 식품판매업212438.484102443695.728617<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
58732300003230000-122-2023-000092023-11-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>94.57138-927서울특별시 송파구 장지동 904-2 센트라포레서울특별시 송파구 위례순환로 478, 센트라포레 4층 405호 (장지동)5814(주)골든에프앤디2023-11-27 12:16:13I2022-10-31 22:09:00.0집단급식소 식품판매업211788.824441720.322<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
58832300003230000-122-2023-000102023-11-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.00138-801서울특별시 송파구 가락동 46서울특별시 송파구 오금로34길 51, 1층 101호 (가락동)5706채움푸드2023-11-30 14:01:59I2022-11-02 00:02:00.0집단급식소 식품판매업210729.788797444138.294944<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
58932300003230000-122-2023-000112023-12-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.00138-818서울특별시 송파구 마천동 38-3서울특별시 송파구 성내천로 166, 101호 (마천동)5734동남급식2023-12-13 10:52:19I2022-11-01 23:05:00.0집단급식소 식품판매업212891.195345444211.810238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59032300003230000-122-2023-000122023-12-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.00138-818서울특별시 송파구 마천동 38-3서울특별시 송파구 성내천로 166, 1층 102호 (마천동)5734조은유통2023-12-13 10:53:56I2022-11-01 23:05:00.0집단급식소 식품판매업212891.195345444211.810238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59132300003230000-122-2024-000012024-01-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.50138-857서울특별시 송파구 오금동 60-3서울특별시 송파구 동남로23길 20, 1층 105호 (오금동)5728케어앤푸드(Care&Food)2024-01-05 14:28:59I2023-12-01 00:07:00.0집단급식소 식품판매업211853.76444392.855<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59232300003230000-122-2024-000022024-02-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>41.22138-881서울특별시 송파구 가락동 600 가락동 농수산물도매시장서울특별시 송파구 양재대로 932, 가락동 농수산물도매시장 가락몰업무동 8층 15-1호 (가락동)5699서원유통2024-02-15 10:59:24I2023-12-01 23:07:00.0집단급식소 식품판매업209790.959909443481.212174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59332300003230000-122-2024-000032024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA>070 42515337536.99138-805서울특별시 송파구 가락동 99-5서울특별시 송파구 중대로 97, 7,8층 (가락동)5719푸드팡 주식회사2024-02-27 15:21:41I2023-12-01 22:09:00.0집단급식소 식품판매업210481.077142443448.892123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59432300003230000-122-2024-000042024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>165.00138-833서울특별시 송파구 방이동 160-2서울특별시 송파구 가락로 272, 202호 (방이동)5635(주)씨엠컴퍼니2024-02-28 11:51:15I2023-12-03 00:01:00.0집단급식소 식품판매업210509.435147445549.755691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
59532300003230000-122-2024-000052024-04-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>25.00138-872서울특별시 송파구 풍납동 89-25서울특별시 송파구 바람드리5길 9-1, 1층 일부호 (풍납동)5514리프레일2024-04-16 12:41:55I2023-12-03 23:08:00.0집단급식소 식품판매업210367.514167448508.57176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>