Overview

Dataset statistics

Number of variables44
Number of observations235
Missing cells2536
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.4 KiB
Average record size in memory376.6 B

Variable types

Categorical20
Text7
DateTime4
Unsupported8
Numeric4
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17977/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (80.9%)Imbalance
등급구분명 is highly imbalanced (88.1%)Imbalance
급수시설구분명 is highly imbalanced (58.0%)Imbalance
총인원 is highly imbalanced (72.7%)Imbalance
본사종업원수 is highly imbalanced (72.7%)Imbalance
공장사무직종업원수 is highly imbalanced (72.7%)Imbalance
공장판매직종업원수 is highly imbalanced (72.7%)Imbalance
공장생산직종업원수 is highly imbalanced (72.7%)Imbalance
보증액 is highly imbalanced (72.7%)Imbalance
월세액 is highly imbalanced (72.7%)Imbalance
인허가취소일자 has 235 (100.0%) missing valuesMissing
폐업일자 has 67 (28.5%) missing valuesMissing
휴업시작일자 has 235 (100.0%) missing valuesMissing
휴업종료일자 has 235 (100.0%) missing valuesMissing
재개업일자 has 235 (100.0%) missing valuesMissing
전화번호 has 59 (25.1%) missing valuesMissing
소재지면적 has 150 (63.8%) missing valuesMissing
도로명주소 has 96 (40.9%) missing valuesMissing
도로명우편번호 has 102 (43.4%) missing valuesMissing
좌표정보(X) has 36 (15.3%) missing valuesMissing
좌표정보(Y) has 36 (15.3%) missing valuesMissing
건물소유구분명 has 235 (100.0%) missing valuesMissing
다중이용업소여부 has 53 (22.6%) missing valuesMissing
시설총규모 has 53 (22.6%) missing valuesMissing
전통업소지정번호 has 235 (100.0%) missing valuesMissing
전통업소주된음식 has 235 (100.0%) missing valuesMissing
홈페이지 has 235 (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
시설총규모 has 78 (33.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:01:37.783227
Analysis finished2024-05-11 06:01:39.635416
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3000000
235 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 235
100.0%

Length

2024-05-11T06:01:39.826705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:40.090993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 235
100.0%

관리번호
Text

UNIQUE 

Distinct235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T06:01:40.557712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5170
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

Unique235 ?
Unique (%)100.0%

Sample

1st row3000000-120-2003-00001
2nd row3000000-120-2003-00002
3rd row3000000-120-2003-00003
4th row3000000-120-2003-00004
5th row3000000-120-2003-00005
ValueCountFrequency (%)
3000000-120-2003-00001 1
 
0.4%
3000000-120-2015-00003 1
 
0.4%
3000000-120-2017-00005 1
 
0.4%
3000000-120-2013-00015 1
 
0.4%
3000000-120-2014-00001 1
 
0.4%
3000000-120-2014-00002 1
 
0.4%
3000000-120-2014-00003 1
 
0.4%
3000000-120-2014-00004 1
 
0.4%
3000000-120-2014-00005 1
 
0.4%
3000000-120-2014-00006 1
 
0.4%
Other values (225) 225
95.7%
2024-05-11T06:01:41.447177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2890
55.9%
- 705
 
13.6%
2 563
 
10.9%
1 391
 
7.6%
3 359
 
6.9%
4 57
 
1.1%
5 54
 
1.0%
6 48
 
0.9%
9 36
 
0.7%
7 35
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4465
86.4%
Dash Punctuation 705
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2890
64.7%
2 563
 
12.6%
1 391
 
8.8%
3 359
 
8.0%
4 57
 
1.3%
5 54
 
1.2%
6 48
 
1.1%
9 36
 
0.8%
7 35
 
0.8%
8 32
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 705
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2890
55.9%
- 705
 
13.6%
2 563
 
10.9%
1 391
 
7.6%
3 359
 
6.9%
4 57
 
1.1%
5 54
 
1.0%
6 48
 
0.9%
9 36
 
0.7%
7 35
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2890
55.9%
- 705
 
13.6%
2 563
 
10.9%
1 391
 
7.6%
3 359
 
6.9%
4 57
 
1.1%
5 54
 
1.0%
6 48
 
0.9%
9 36
 
0.7%
7 35
 
0.7%

인허가일자
Date

Distinct183
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-05-26 00:00:00
Maximum2024-03-29 00:00:00
2024-05-11T06:01:41.926528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:01:42.503533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
168 
1
67 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 168
71.5%
1 67
 
28.5%

Length

2024-05-11T06:01:42.924228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:43.214658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 168
71.5%
1 67
 
28.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
168 
영업/정상
67 

Length

Max length5
Median length2
Mean length2.8553191
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 168
71.5%
영업/정상 67
 
28.5%

Length

2024-05-11T06:01:43.633926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:44.004335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 168
71.5%
영업/정상 67
 
28.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
168 
1
67 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 168
71.5%
1 67
 
28.5%

Length

2024-05-11T06:01:44.333935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:44.716376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 168
71.5%
1 67
 
28.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
168 
영업
67 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 168
71.5%
영업 67
 
28.5%

Length

2024-05-11T06:01:45.186568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:01:45.607835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 168
71.5%
영업 67
 
28.5%

폐업일자
Date

MISSING 

Distinct146
Distinct (%)86.9%
Missing67
Missing (%)28.5%
Memory size2.0 KiB
Minimum2003-10-11 00:00:00
Maximum2024-03-29 00:00:00
2024-05-11T06:01:45.974549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:01:46.546422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct155
Distinct (%)88.1%
Missing59
Missing (%)25.1%
Memory size2.0 KiB
2024-05-11T06:01:47.500489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.170455
Min length8

Characters and Unicode

Total characters1966
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

Unique141 ?
Unique (%)80.1%

Sample

1st row02 7668504
2nd row02 7407885
3rd row02 746 2380
4th row02 7378726
5th row02 72344737
ValueCountFrequency (%)
02 138
36.0%
740 8
 
2.1%
2955 5
 
1.3%
753 5
 
1.3%
080 4
 
1.0%
234 4
 
1.0%
7575 4
 
1.0%
7691 4
 
1.0%
34348022 4
 
1.0%
722 4
 
1.0%
Other values (181) 203
53.0%
2024-05-11T06:01:48.913967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 340
17.3%
2 329
16.7%
303
15.4%
7 202
10.3%
3 161
8.2%
1 122
 
6.2%
5 106
 
5.4%
6 106
 
5.4%
9 102
 
5.2%
4 101
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1663
84.6%
Space Separator 303
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 340
20.4%
2 329
19.8%
7 202
12.1%
3 161
9.7%
1 122
 
7.3%
5 106
 
6.4%
6 106
 
6.4%
9 102
 
6.1%
4 101
 
6.1%
8 94
 
5.7%
Space Separator
ValueCountFrequency (%)
303
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 340
17.3%
2 329
16.7%
303
15.4%
7 202
10.3%
3 161
8.2%
1 122
 
6.2%
5 106
 
5.4%
6 106
 
5.4%
9 102
 
5.2%
4 101
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 340
17.3%
2 329
16.7%
303
15.4%
7 202
10.3%
3 161
8.2%
1 122
 
6.2%
5 106
 
5.4%
6 106
 
5.4%
9 102
 
5.2%
4 101
 
5.1%

소재지면적
Text

MISSING 

Distinct79
Distinct (%)92.9%
Missing150
Missing (%)63.8%
Memory size2.0 KiB
2024-05-11T06:01:49.618134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.2117647
Min length5

Characters and Unicode

Total characters528
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

Unique73 ?
Unique (%)85.9%

Sample

1st row919.05
2nd row1023.00
3rd row334.00
4th row478.69
5th row1,481.00
ValueCountFrequency (%)
324.00 2
 
2.4%
201.77 2
 
2.4%
636.00 2
 
2.4%
115.70 2
 
2.4%
311.30 2
 
2.4%
729.98 2
 
2.4%
541.98 1
 
1.2%
544.00 1
 
1.2%
182.20 1
 
1.2%
163.84 1
 
1.2%
Other values (69) 69
81.2%
2024-05-11T06:01:50.958567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 106
20.1%
. 85
16.1%
1 67
12.7%
2 43
8.1%
3 39
 
7.4%
7 36
 
6.8%
4 35
 
6.6%
8 31
 
5.9%
6 30
 
5.7%
9 24
 
4.5%
Other values (2) 32
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 435
82.4%
Other Punctuation 93
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
24.4%
1 67
15.4%
2 43
9.9%
3 39
 
9.0%
7 36
 
8.3%
4 35
 
8.0%
8 31
 
7.1%
6 30
 
6.9%
9 24
 
5.5%
5 24
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 85
91.4%
, 8
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 106
20.1%
. 85
16.1%
1 67
12.7%
2 43
8.1%
3 39
 
7.4%
7 36
 
6.8%
4 35
 
6.6%
8 31
 
5.9%
6 30
 
5.7%
9 24
 
4.5%
Other values (2) 32
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 106
20.1%
. 85
16.1%
1 67
12.7%
2 43
8.1%
3 39
 
7.4%
7 36
 
6.8%
4 35
 
6.6%
8 31
 
5.9%
6 30
 
5.7%
9 24
 
4.5%
Other values (2) 32
 
6.1%

소재지우편번호
Text

Distinct86
Distinct (%)36.9%
Missing2
Missing (%)0.9%
Memory size2.0 KiB
2024-05-11T06:01:51.835940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.167382
Min length6

Characters and Unicode

Total characters1437
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

Unique44 ?
Unique (%)18.9%

Sample

1st row110160
2nd row110530
3rd row110-470
4th row110110
5th row110-801
ValueCountFrequency (%)
110030 16
 
6.9%
110020 13
 
5.6%
110140 12
 
5.2%
110530 12
 
5.2%
110460 9
 
3.9%
110800 8
 
3.4%
110044 6
 
2.6%
110110 6
 
2.6%
110470 6
 
2.6%
110061 6
 
2.6%
Other values (76) 139
59.7%
2024-05-11T06:01:53.093910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 546
38.0%
0 475
33.1%
4 87
 
6.1%
3 68
 
4.7%
2 54
 
3.8%
7 47
 
3.3%
5 43
 
3.0%
8 42
 
2.9%
- 39
 
2.7%
6 32
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1398
97.3%
Dash Punctuation 39
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 546
39.1%
0 475
34.0%
4 87
 
6.2%
3 68
 
4.9%
2 54
 
3.9%
7 47
 
3.4%
5 43
 
3.1%
8 42
 
3.0%
6 32
 
2.3%
9 4
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 546
38.0%
0 475
33.1%
4 87
 
6.1%
3 68
 
4.7%
2 54
 
3.8%
7 47
 
3.3%
5 43
 
3.0%
8 42
 
2.9%
- 39
 
2.7%
6 32
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 546
38.0%
0 475
33.1%
4 87
 
6.1%
3 68
 
4.7%
2 54
 
3.8%
7 47
 
3.3%
5 43
 
3.0%
8 42
 
2.9%
- 39
 
2.7%
6 32
 
2.2%

지번주소
Text

Distinct196
Distinct (%)84.1%
Missing2
Missing (%)0.9%
Memory size2.0 KiB
2024-05-11T06:01:53.727468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length24.506438
Min length16

Characters and Unicode

Total characters5710
Distinct characters193
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)73.4%

Sample

1st row서울특별시 종로구 공평동 100번지 지하1층
2nd row서울특별시 종로구 혜화동 90-7번지
3rd row서울특별시 종로구 연지동 263
4th row서울특별시 종로구 서린동 99번지 지하1층
5th row서울특별시 종로구 계동 140-2 지하2층
ValueCountFrequency (%)
서울특별시 233
20.8%
종로구 233
20.8%
지하1층 26
 
2.3%
청운동 21
 
1.9%
수송동 17
 
1.5%
홍지동 16
 
1.4%
7번지 13
 
1.2%
연건동 13
 
1.2%
혜화동 13
 
1.2%
연지동 10
 
0.9%
Other values (283) 523
46.8%
2024-05-11T06:01:54.882773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1068
18.7%
로 263
 
4.6%
서 257
 
4.5%
종 255
 
4.5%
울 248
 
4.3%
구 241
 
4.2%
별 234
 
4.1%
시 233
 
4.1%
특 233
 
4.1%
1 229
 
4.0%
Other values (183) 2449
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3662
64.1%
Space Separator 1068
 
18.7%
Decimal Number 803
 
14.1%
Dash Punctuation 126
 
2.2%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Other Punctuation 11
 
0.2%
Uppercase Letter 11
 
0.2%
Lowercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 263
 
7.2%
서 257
 
7.0%
종 255
 
7.0%
울 248
 
6.8%
구 241
 
6.6%
별 234
 
6.4%
시 233
 
6.4%
특 233
 
6.4%
지 224
 
6.1%
동 215
 
5.9%
Other values (154) 1259
34.4%
Decimal Number
ValueCountFrequency (%)
1 229
28.5%
2 107
13.3%
3 72
 
9.0%
9 71
 
8.8%
8 68
 
8.5%
5 64
 
8.0%
7 59
 
7.3%
0 54
 
6.7%
4 41
 
5.1%
6 38
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
G 2
18.2%
B 2
18.2%
K 2
18.2%
T 1
9.1%
D 1
9.1%
L 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
t 1
16.7%
e 1
16.7%
k 1
16.7%
w 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1068
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3662
64.1%
Common 2031
35.6%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 263
 
7.2%
서 257
 
7.0%
종 255
 
7.0%
울 248
 
6.8%
구 241
 
6.6%
별 234
 
6.4%
시 233
 
6.4%
특 233
 
6.4%
지 224
 
6.1%
동 215
 
5.9%
Other values (154) 1259
34.4%
Common
ValueCountFrequency (%)
1068
52.6%
1 229
 
11.3%
- 126
 
6.2%
2 107
 
5.3%
3 72
 
3.5%
9 71
 
3.5%
8 68
 
3.3%
5 64
 
3.2%
7 59
 
2.9%
0 54
 
2.7%
Other values (7) 113
 
5.6%
Latin
ValueCountFrequency (%)
S 2
11.8%
G 2
11.8%
B 2
11.8%
K 2
11.8%
s 2
11.8%
T 1
5.9%
t 1
5.9%
D 1
5.9%
L 1
5.9%
e 1
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3662
64.1%
ASCII 2048
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1068
52.1%
1 229
 
11.2%
- 126
 
6.2%
2 107
 
5.2%
3 72
 
3.5%
9 71
 
3.5%
8 68
 
3.3%
5 64
 
3.1%
7 59
 
2.9%
0 54
 
2.6%
Other values (19) 130
 
6.3%
Hangul
ValueCountFrequency (%)
로 263
 
7.2%
서 257
 
7.0%
종 255
 
7.0%
울 248
 
6.8%
구 241
 
6.6%
별 234
 
6.4%
시 233
 
6.4%
특 233
 
6.4%
지 224
 
6.1%
동 215
 
5.9%
Other values (154) 1259
34.4%

도로명주소
Text

MISSING 

Distinct125
Distinct (%)89.9%
Missing96
Missing (%)40.9%
Memory size2.0 KiB
2024-05-11T06:01:55.611331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length32.223022
Min length21

Characters and Unicode

Total characters4479
Distinct characters196
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)80.6%

Sample

1st row서울특별시 종로구 종로33길 31 (연지동)
2nd row서울특별시 종로구 율곡로 75 (계동,지하2층)
3rd row서울특별시 종로구 사직로8길 60 (도렴동,정부중앙청사 별관 지상1층)
4th row서울특별시 종로구 세종대로 209 (세종로)
5th row서울특별시 종로구 대학로 101 (연건동)
ValueCountFrequency (%)
서울특별시 139
 
15.9%
종로구 139
 
15.9%
지하1층 24
 
2.7%
대학로 13
 
1.5%
수송동 13
 
1.5%
청운동 12
 
1.4%
새문안로 11
 
1.3%
1층 11
 
1.3%
29 9
 
1.0%
연지동 8
 
0.9%
Other values (236) 496
56.7%
2024-05-11T06:01:56.605071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
736
 
16.4%
로 275
 
6.1%
종 175
 
3.9%
서 157
 
3.5%
울 153
 
3.4%
1 152
 
3.4%
구 145
 
3.2%
( 142
 
3.2%
) 142
 
3.2%
시 140
 
3.1%
Other values (186) 2262
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2762
61.7%
Space Separator 736
 
16.4%
Decimal Number 526
 
11.7%
Open Punctuation 142
 
3.2%
Close Punctuation 142
 
3.2%
Other Punctuation 139
 
3.1%
Dash Punctuation 11
 
0.2%
Uppercase Letter 10
 
0.2%
Lowercase Letter 6
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 275
 
10.0%
종 175
 
6.3%
서 157
 
5.7%
울 153
 
5.5%
구 145
 
5.2%
시 140
 
5.1%
별 140
 
5.1%
특 139
 
5.0%
동 137
 
5.0%
층 91
 
3.3%
Other values (157) 1210
43.8%
Decimal Number
ValueCountFrequency (%)
1 152
28.9%
3 73
13.9%
2 62
11.8%
8 39
 
7.4%
0 39
 
7.4%
5 35
 
6.7%
6 35
 
6.7%
4 34
 
6.5%
9 32
 
6.1%
7 25
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
K 2
20.0%
S 2
20.0%
T 1
 
10.0%
D 1
 
10.0%
G 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
33.3%
w 1
16.7%
e 1
16.7%
s 1
16.7%
k 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 137
98.6%
. 2
 
1.4%
Space Separator
ValueCountFrequency (%)
736
100.0%
Open Punctuation
ValueCountFrequency (%)
( 142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2762
61.7%
Common 1701
38.0%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 275
 
10.0%
종 175
 
6.3%
서 157
 
5.7%
울 153
 
5.5%
구 145
 
5.2%
시 140
 
5.1%
별 140
 
5.1%
특 139
 
5.0%
동 137
 
5.0%
층 91
 
3.3%
Other values (157) 1210
43.8%
Common
ValueCountFrequency (%)
736
43.3%
1 152
 
8.9%
( 142
 
8.3%
) 142
 
8.3%
, 137
 
8.1%
3 73
 
4.3%
2 62
 
3.6%
8 39
 
2.3%
0 39
 
2.3%
5 35
 
2.1%
Other values (8) 144
 
8.5%
Latin
ValueCountFrequency (%)
B 3
18.8%
K 2
12.5%
S 2
12.5%
t 2
12.5%
T 1
 
6.2%
w 1
 
6.2%
e 1
 
6.2%
s 1
 
6.2%
D 1
 
6.2%
G 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2762
61.7%
ASCII 1717
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
736
42.9%
1 152
 
8.9%
( 142
 
8.3%
) 142
 
8.3%
, 137
 
8.0%
3 73
 
4.3%
2 62
 
3.6%
8 39
 
2.3%
0 39
 
2.3%
5 35
 
2.0%
Other values (19) 160
 
9.3%
Hangul
ValueCountFrequency (%)
로 275
 
10.0%
종 175
 
6.3%
서 157
 
5.7%
울 153
 
5.5%
구 145
 
5.2%
시 140
 
5.1%
별 140
 
5.1%
특 139
 
5.0%
동 137
 
5.0%
층 91
 
3.3%
Other values (157) 1210
43.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)40.6%
Missing102
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean3105.9474
Minimum3000
Maximum3188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T06:01:57.027916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3011
Q13053
median3127
Q33152
95-th percentile3183
Maximum3188
Range188
Interquartile range (IQR)99

Descriptive statistics

Standard deviation57.435513
Coefficient of variation (CV)0.018492108
Kurtosis-1.3197682
Mean3105.9474
Median Absolute Deviation (MAD)50
Skewness-0.21054382
Sum413091
Variance3298.8381
MonotonicityNot monotonic
2024-05-11T06:01:57.609845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3047 10
 
4.3%
3080 7
 
3.0%
3143 6
 
2.6%
3128 6
 
2.6%
3127 4
 
1.7%
3152 4
 
1.7%
3039 4
 
1.7%
3057 4
 
1.7%
3181 4
 
1.7%
3083 4
 
1.7%
Other values (44) 80
34.0%
(Missing) 102
43.4%
ValueCountFrequency (%)
3000 2
0.9%
3001 2
0.9%
3004 1
 
0.4%
3006 1
 
0.4%
3011 2
0.9%
3016 3
1.3%
3029 1
 
0.4%
3031 2
0.9%
3035 1
 
0.4%
3036 1
 
0.4%
ValueCountFrequency (%)
3188 1
 
0.4%
3187 3
1.3%
3185 1
 
0.4%
3183 4
1.7%
3182 2
0.9%
3181 4
1.7%
3178 1
 
0.4%
3177 2
0.9%
3175 1
 
0.4%
3173 3
1.3%

사업장명
Text

Distinct232
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T06:01:58.234205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length14.612766
Min length3

Characters and Unicode

Total characters3434
Distinct characters283
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

Unique229 ?
Unique (%)97.4%

Sample

1st row(주)아벨라고 제일지점
2nd row(주)아벨라고매동성고점
3rd row아라마크(주)삼양사지점
4th row (주)인플러스 (주)SK
5th row(주)현대그린푸드 현대건설본사지점
ValueCountFrequency (%)
주)아워홈 13
 
3.2%
본우리집밥 8
 
2.0%
씨제이프레시웨이(주 6
 
1.5%
삼성에버랜드(주 5
 
1.2%
참푸드시스템 4
 
1.0%
재)케이티그룹희망나눔재단 4
 
1.0%
주)후니드 4
 
1.0%
구내식당 4
 
1.0%
주)신세계푸드 4
 
1.0%
경복고점 4
 
1.0%
Other values (299) 353
86.3%
2024-05-11T06:01:59.289328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 190
 
5.5%
( 186
 
5.4%
주 185
 
5.4%
176
 
5.1%
점 103
 
3.0%
드 95
 
2.8%
스 77
 
2.2%
대 72
 
2.1%
푸 70
 
2.0%
이 68
 
2.0%
Other values (273) 2212
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2815
82.0%
Close Punctuation 190
 
5.5%
Open Punctuation 186
 
5.4%
Space Separator 176
 
5.1%
Uppercase Letter 40
 
1.2%
Lowercase Letter 10
 
0.3%
Decimal Number 7
 
0.2%
Other Punctuation 6
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 185
 
6.6%
점 103
 
3.7%
드 95
 
3.4%
스 77
 
2.7%
대 72
 
2.6%
푸 70
 
2.5%
이 68
 
2.4%
고 59
 
2.1%
에 53
 
1.9%
학 53
 
1.9%
Other values (249) 1980
70.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
25.0%
K 9
22.5%
C 6
15.0%
J 5
12.5%
G 4
 
10.0%
I 2
 
5.0%
B 2
 
5.0%
L 1
 
2.5%
T 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
t 2
20.0%
e 2
20.0%
w 1
 
10.0%
a 1
 
10.0%
k 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 1
 
16.7%
? 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
71.4%
5 2
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2815
82.0%
Common 569
 
16.6%
Latin 50
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 185
 
6.6%
점 103
 
3.7%
드 95
 
3.4%
스 77
 
2.7%
대 72
 
2.6%
푸 70
 
2.5%
이 68
 
2.4%
고 59
 
2.1%
에 53
 
1.9%
학 53
 
1.9%
Other values (249) 1980
70.3%
Latin
ValueCountFrequency (%)
S 10
20.0%
K 9
18.0%
C 6
12.0%
J 5
10.0%
G 4
 
8.0%
s 3
 
6.0%
t 2
 
4.0%
e 2
 
4.0%
I 2
 
4.0%
B 2
 
4.0%
Other values (5) 5
10.0%
Common
ValueCountFrequency (%)
) 190
33.4%
( 186
32.7%
176
30.9%
2 5
 
0.9%
- 4
 
0.7%
, 4
 
0.7%
5 2
 
0.4%
. 1
 
0.2%
? 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2815
82.0%
ASCII 619
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 190
30.7%
( 186
30.0%
176
28.4%
S 10
 
1.6%
K 9
 
1.5%
C 6
 
1.0%
2 5
 
0.8%
J 5
 
0.8%
G 4
 
0.6%
- 4
 
0.6%
Other values (14) 24
 
3.9%
Hangul
ValueCountFrequency (%)
주 185
 
6.6%
점 103
 
3.7%
드 95
 
3.4%
스 77
 
2.7%
대 72
 
2.6%
푸 70
 
2.5%
이 68
 
2.4%
고 59
 
2.1%
에 53
 
1.9%
학 53
 
1.9%
Other values (249) 1980
70.3%

최종수정일자
Date

Distinct221
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-06-18 00:00:00
Maximum2024-04-16 13:45:42
2024-05-11T06:01:59.759083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:02:00.246623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
148 
U
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 148
63.0%
U 87
37.0%

Length

2024-05-11T06:02:00.738022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:01.061028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 148
63.0%
u 87
37.0%

데이터갱신일자
Date

Distinct92
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T06:02:01.511993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:02:01.828470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
위탁급식영업
235 

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 235
100.0%

Length

2024-05-11T06:02:02.144806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:02.392947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 235
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)47.2%
Missing36
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean198406.06
Minimum195960.55
Maximum201774.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T06:02:02.913321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195960.55
5-th percentile196782.04
Q1197404.72
median198271.84
Q3199554.07
95-th percentile200146.29
Maximum201774.36
Range5813.813
Interquartile range (IQR)2149.3543

Descriptive statistics

Standard deviation1216.6286
Coefficient of variation (CV)0.0061320132
Kurtosis-0.58814315
Mean198406.06
Median Absolute Deviation (MAD)867.12366
Skewness0.23406101
Sum39482805
Variance1480185
MonotonicityNot monotonic
2024-05-11T06:02:03.416620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197404.720132225 9
 
3.8%
199554.074424085 8
 
3.4%
200146.293465248 7
 
3.0%
199998.556147267 7
 
3.0%
197002.668255774 7
 
3.0%
197265.267794545 5
 
2.1%
199824.095974723 5
 
2.1%
198770.323681919 5
 
2.1%
198152.261728844 4
 
1.7%
198860.718011375 4
 
1.7%
Other values (84) 138
58.7%
(Missing) 36
 
15.3%
ValueCountFrequency (%)
195960.546025512 3
1.3%
196041.839277471 2
0.9%
196051.340889352 2
0.9%
196066.422789024 1
 
0.4%
196559.568468364 1
 
0.4%
196702.970087461 1
 
0.4%
196790.827942668 1
 
0.4%
196883.070492995 1
 
0.4%
196900.258232378 1
 
0.4%
196928.575303519 1
 
0.4%
ValueCountFrequency (%)
201774.358976512 1
 
0.4%
201468.856591382 2
 
0.9%
200714.358026539 1
 
0.4%
200306.394323174 1
 
0.4%
200268.578977305 2
 
0.9%
200183.678462425 2
 
0.9%
200146.293465248 7
3.0%
200124.347961716 2
 
0.9%
200056.469625632 1
 
0.4%
200029.656712659 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)47.2%
Missing36
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean453041.7
Minimum451670.16
Maximum456849.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T06:02:03.970420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451670.16
5-th percentile451936.87
Q1452315.52
median452698.06
Q3453660.13
95-th percentile455642.44
Maximum456849.29
Range5179.1317
Interquartile range (IQR)1344.6026

Descriptive statistics

Standard deviation1086.3966
Coefficient of variation (CV)0.0023980059
Kurtosis2.8770681
Mean453041.7
Median Absolute Deviation (MAD)517.3479
Skewness1.6515473
Sum90155298
Variance1180257.7
MonotonicityNot monotonic
2024-05-11T06:02:04.539724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453840.758796726 9
 
3.8%
453721.462706742 8
 
3.4%
453660.125405865 7
 
3.0%
452379.49778015 7
 
3.0%
452893.430637392 7
 
3.0%
454032.298913757 5
 
2.1%
452984.360451452 5
 
2.1%
453532.54882969 5
 
2.1%
452419.865978696 4
 
1.7%
453291.560895364 4
 
1.7%
Other values (84) 138
58.7%
(Missing) 36
 
15.3%
ValueCountFrequency (%)
451670.158825331 1
 
0.4%
451776.44366444 3
1.3%
451901.406014861 1
 
0.4%
451917.062537808 1
 
0.4%
451918.372060065 1
 
0.4%
451925.63111828 3
1.3%
451938.115260325 2
0.9%
451938.484384565 1
 
0.4%
451945.047247204 2
0.9%
451959.819865892 1
 
0.4%
ValueCountFrequency (%)
456849.290514941 2
 
0.9%
456738.077295995 1
 
0.4%
456495.179178678 2
 
0.9%
456471.02212561 1
 
0.4%
456441.606296067 1
 
0.4%
455915.250190079 3
1.3%
455612.122672739 3
1.3%
454361.225228914 2
 
0.9%
454326.388544235 2
 
0.9%
454032.298913757 5
2.1%

위생업태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
위탁급식영업
182 
<NA>
53 

Length

Max length6
Median length6
Mean length5.5489362
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 182
77.4%
<NA> 53
 
22.6%

Length

2024-05-11T06:02:05.365587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:05.849599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 182
77.4%
na 53
 
22.6%

남성종사자수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
206 
0
29 

Length

Max length4
Median length4
Mean length3.6297872
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> 206
87.7%
0 29
 
12.3%

Length

2024-05-11T06:02:06.472651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:06.837896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 206
87.7%
0 29
 
12.3%

여성종사자수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
206 
0
29 

Length

Max length4
Median length4
Mean length3.6297872
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> 206
87.7%
0 29
 
12.3%

Length

2024-05-11T06:02:07.157542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:07.513979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 206
87.7%
0 29
 
12.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
221 
기타
 
11
학교정화(절대)
 
2
주택가주변
 
1

Length

Max length8
Median length4
Mean length3.9446809
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 221
94.0%
기타 11
 
4.7%
학교정화(절대) 2
 
0.9%
주택가주변 1
 
0.4%

Length

2024-05-11T06:02:07.879262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:08.231897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
94.0%
기타 11
 
4.7%
학교정화(절대 2
 
0.9%
주택가주변 1
 
0.4%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
기타
 
5
자율
 
1

Length

Max length4
Median length4
Mean length3.9489362
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.4%
기타 5
 
2.1%
자율 1
 
0.4%

Length

2024-05-11T06:02:08.650254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:09.051497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.4%
기타 5
 
2.1%
자율 1
 
0.4%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
215 
상수도전용
 
20

Length

Max length5
Median length4
Mean length4.0851064
Min length4

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> 215
91.5%
상수도전용 20
 
8.5%

Length

2024-05-11T06:02:09.496723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:09.862793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 215
91.5%
상수도전용 20
 
8.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:10.235482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:10.626064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:11.081718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:11.425825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:11.886323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:12.266572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:12.864158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:13.248603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:13.642963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:14.036619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:14.651520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:15.069484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
224 
0
 
11

Length

Max length4
Median length4
Mean length3.8595745
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> 224
95.3%
0 11
 
4.7%

Length

2024-05-11T06:02:15.476401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:02:15.918202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 224
95.3%
0 11
 
4.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing53
Missing (%)22.6%
Memory size602.0 B
False
182 
(Missing)
53 
ValueCountFrequency (%)
False 182
77.4%
(Missing) 53
 
22.6%
2024-05-11T06:02:16.222684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)48.9%
Missing53
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean286.72698
Minimum0
Maximum2597.66
Zeros78
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T06:02:16.716034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111.21
Q3372.4525
95-th percentile1140
Maximum2597.66
Range2597.66
Interquartile range (IQR)372.4525

Descriptive statistics

Standard deviation456.75687
Coefficient of variation (CV)1.5930028
Kurtosis7.7161533
Mean286.72698
Median Absolute Deviation (MAD)111.21
Skewness2.5223482
Sum52184.31
Variance208626.84
MonotonicityNot monotonic
2024-05-11T06:02:17.303952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 78
33.2%
1026.41 4
 
1.7%
282.28 3
 
1.3%
379.5 2
 
0.9%
662.0 2
 
0.9%
124.64 2
 
0.9%
311.3 2
 
0.9%
468.65 2
 
0.9%
49.5 2
 
0.9%
1140.0 2
 
0.9%
Other values (79) 83
35.3%
(Missing) 53
22.6%
ValueCountFrequency (%)
0.0 78
33.2%
12.0 1
 
0.4%
31.01 1
 
0.4%
48.18 1
 
0.4%
49.5 2
 
0.9%
50.34 1
 
0.4%
55.0 1
 
0.4%
58.4 1
 
0.4%
63.0 1
 
0.4%
72.51 1
 
0.4%
ValueCountFrequency (%)
2597.66 1
0.4%
2521.16 1
0.4%
2111.0 1
0.4%
1849.0 1
0.4%
1626.63 1
0.4%
1481.0 1
0.4%
1223.33 1
0.4%
1161.34 1
0.4%
1155.0 1
0.4%
1140.0 2
0.9%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing235
Missing (%)100.0%
Memory size2.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-120-2003-0000120030618<NA>3폐업2폐업20031011<NA><NA><NA><NA><NA>110160서울특별시 종로구 공평동 100번지 지하1층<NA><NA>(주)아벨라고 제일지점2003-06-18 00:00:00I2018-08-31 23:59:59.0위탁급식영업198375.290383452091.983667위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130000003000000-120-2003-0000220030618<NA>3폐업2폐업20040302<NA><NA><NA>02 7668504<NA>110530서울특별시 종로구 혜화동 90-7번지<NA><NA>(주)아벨라고매동성고점2003-06-18 00:00:00I2018-08-31 23:59:59.0위탁급식영업200146.293465453660.125406위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230000003000000-120-2003-000032003-08-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 7407885<NA>110-470서울특별시 종로구 연지동 263서울특별시 종로구 종로33길 31 (연지동)3129아라마크(주)삼양사지점2024-04-12 16:07:14U2023-12-03 23:04:00.0위탁급식영업200029.656713452241.852291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330000003000000-120-2003-0000420030814<NA>3폐업2폐업20040812<NA><NA><NA><NA><NA>110110서울특별시 종로구 서린동 99번지 지하1층<NA><NA>(주)인플러스 (주)SK2003-11-19 00:00:00I2018-08-31 23:59:59.0위탁급식영업198195.965393451925.631118위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430000003000000-120-2003-000052003-08-27<NA>1영업/정상1영업<NA><NA><NA><NA>02 746 2380<NA>110-801서울특별시 종로구 계동 140-2 지하2층서울특별시 종로구 율곡로 75 (계동,지하2층)3058(주)현대그린푸드 현대건설본사지점2023-03-14 16:46:54U2022-12-02 23:06:00.0위탁급식영업198817.289035452901.786745<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
530000003000000-120-2003-0000620030930<NA>3폐업2폐업20110128<NA><NA><NA>02 7378726<NA>110777서울특별시 종로구 세종로 100번지 15층<NA><NA>삼성에버랜드(주) KT 광화문2009-03-25 11:39:30I2018-08-31 23:59:59.0위탁급식영업197982.8896452206.123139위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630000003000000-120-2003-000082003-10-01<NA>1영업/정상1영업<NA><NA><NA><NA>02 72344737919.05110-051서울특별시 종로구 도렴동 95-1 정부중앙청사 별관 지상1층서울특별시 종로구 사직로8길 60 (도렴동,정부중앙청사 별관 지상1층)3172(주)풀무원푸드앤컬처 정부서울청사별관2023-07-28 13:55:10U2022-12-06 21:00:00.0위탁급식영업197724.82648452368.246343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
730000003000000-120-2003-000092003-10-01<NA>1영업/정상1영업<NA><NA><NA><NA>02 723 47371023.00110-760서울특별시 종로구 세종로 77-6서울특별시 종로구 세종대로 209 (세종로)3171(주)풀무원푸드앤컬처정부서울청사(본관)2023-07-28 13:51:24U2022-12-06 21:00:00.0위탁급식영업197759.173463452506.212481<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
830000003000000-120-2003-0001020031002<NA>3폐업2폐업20100128<NA><NA><NA>20736142<NA>110070서울특별시 종로구 내수동 167번지<NA><NA>(주)이씨엠디국민카드점2003-10-06 00:00:00I2018-08-31 23:59:59.0위탁급식영업197567.938006452276.454633위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930000003000000-120-2003-0001120031006<NA>3폐업2폐업20090605<NA><NA><NA><NA><NA>110043서울특별시 종로구 통인동 10번지<NA><NA>신세계푸드 제22경찰경호대2010-11-15 17:10:09I2018-08-31 23:59:59.0위탁급식영업197278.36313453203.762678위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
22530000003000000-120-2023-000052023-02-28<NA>3폐업2폐업2024-02-23<NA><NA><NA>02 737 64901111.00110-030서울특별시 종로구 청운동 89-3 경기상업고등학교서울특별시 종로구 자하문로 136, 경기상업고등학교 (청운동)3047세종에프앤에스(주)-경기상업고등학교2024-02-23 13:06:03U2023-12-01 22:05:00.0위탁급식영업197265.267795454032.298914<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22630000003000000-120-2023-000062023-03-02<NA>3폐업2폐업2024-02-27<NA><NA><NA><NA>324.00110-847서울특별시 종로구 평창동 217 서울예술고등학교서울특별시 종로구 평창문화로 70, 서울예술고등학교 (평창동)3011제이제이케터링서울예고점2024-02-27 16:14:35U2023-12-01 22:09:00.0위탁급식영업197227.339833455915.25019<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22730000003000000-120-2023-000072023-07-20<NA>1영업/정상1영업<NA><NA><NA><NA>02 339760001079.39110-300서울특별시 종로구 관훈동 192-18 SK건설빌딩, 지하1층서울특별시 종로구 인사동7길 32, SK건설빌딩, 지하1층 (관훈동)3149SK온 온기2023-08-02 10:47:45U2022-12-08 00:04:00.0위탁급식영업198550.794582452315.522759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22830000003000000-120-2023-000082023-08-04<NA>1영업/정상1영업<NA><NA><NA><NA>031528 123862.78110-846서울특별시 종로구 평창동 101-1서울특별시 종로구 평창25길 8, 1층 (평창동)3004주식회사 제이엠푸드2023-08-04 14:28:41I2022-12-08 00:06:00.0위탁급식영업197681.281073456441.606296<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22930000003000000-120-2023-000092023-08-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 2020010762.02110-110서울특별시 종로구 서린동 159-1 동아미디어센터서울특별시 종로구 청계천로 1, 동아미디어센터 지하1층 (서린동)3187삼성웰스토리(주)동아일보광화문2023-08-17 11:16:20I2022-12-07 23:09:00.0위탁급식영업197993.004036451917.062538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23030000003000000-120-2023-000102023-12-13<NA>1영업/정상1영업<NA><NA><NA><NA>031 281 6086130.35110-300서울특별시 종로구 관훈동 155-2서울특별시 종로구 인사동길 49, 지하2층 (관훈동)3145휴먼푸드서비스 나인트리호텔인사점2023-12-20 09:38:57U2022-11-01 22:03:00.0위탁급식영업198498.918633452473.40375<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000003000000-120-2024-000012024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA>02 737 6490163.84110-030서울특별시 종로구 청운동 89-3 경기상업고등학교서울특별시 종로구 자하문로 136, 경기상업고등학교 1-3층 (청운동)3047경기상업고등학교2024-02-27 16:29:47I2023-12-01 22:09:00.0위탁급식영업197265.267795454032.298914<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000003000000-120-2024-000022024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 573 8215861.00110-847서울특별시 종로구 평창동 217 서울예술고등학교서울특별시 종로구 평창문화로 70, 서울예술고등학교 1층 (평창동)3011가람푸드써비스(주) 서울예술고2024-02-28 17:25:36I2023-12-03 00:01:00.0위탁급식영업197227.339833455915.25019<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23330000003000000-120-2024-000032024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 743 9385636.00110-521서울특별시 종로구 명륜1가 1-27 서울국제고등학교서울특별시 종로구 성균관로13길 40, 서울국제고등학교 지하1층 (명륜1가)3066(주)엘에스씨푸드 서울국제고등학교2024-02-29 17:19:04I2023-12-03 00:02:00.0위탁급식영업199588.717715454326.388544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23430000003000000-120-2024-000042024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 573 8215901.90110-470서울특별시 종로구 연지동 136-74 서울보증보험 18층서울특별시 종로구 김상옥로 29, 서울보증보험 18층 (연지동)3128가람푸드써비스(주) SGI 서울보증지점2024-04-16 13:45:42U2023-12-03 23:08:00.0위탁급식영업199998.556147452379.49778<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>