Overview

Dataset statistics

Number of variables44
Number of observations358
Missing cells4452
Missing cells (%)28.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.9 KiB
Average record size in memory377.4 B

Variable types

Categorical17
Text8
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17998/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
남성종사자수 is highly imbalanced (56.5%)Imbalance
총인원 is highly imbalanced (83.1%)Imbalance
본사종업원수 is highly imbalanced (83.1%)Imbalance
공장사무직종업원수 is highly imbalanced (83.1%)Imbalance
공장판매직종업원수 is highly imbalanced (83.1%)Imbalance
공장생산직종업원수 is highly imbalanced (83.1%)Imbalance
보증액 is highly imbalanced (83.1%)Imbalance
월세액 is highly imbalanced (83.1%)Imbalance
다중이용업소여부 is highly imbalanced (78.2%)Imbalance
인허가취소일자 has 358 (100.0%) missing valuesMissing
폐업일자 has 101 (28.2%) missing valuesMissing
휴업시작일자 has 358 (100.0%) missing valuesMissing
휴업종료일자 has 358 (100.0%) missing valuesMissing
재개업일자 has 358 (100.0%) missing valuesMissing
전화번호 has 114 (31.8%) missing valuesMissing
소재지면적 has 13 (3.6%) missing valuesMissing
도로명주소 has 126 (35.2%) missing valuesMissing
도로명우편번호 has 128 (35.8%) missing valuesMissing
좌표정보(X) has 8 (2.2%) missing valuesMissing
좌표정보(Y) has 8 (2.2%) missing valuesMissing
여성종사자수 has 233 (65.1%) missing valuesMissing
영업장주변구분명 has 357 (99.7%) missing valuesMissing
등급구분명 has 358 (100.0%) missing valuesMissing
건물소유구분명 has 358 (100.0%) missing valuesMissing
다중이용업소여부 has 71 (19.8%) missing valuesMissing
시설총규모 has 71 (19.8%) missing valuesMissing
전통업소지정번호 has 358 (100.0%) missing valuesMissing
전통업소주된음식 has 358 (100.0%) missing valuesMissing
홈페이지 has 358 (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
등급구분명 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
여성종사자수 has 108 (30.2%) zerosZeros
시설총규모 has 15 (4.2%) zerosZeros

Reproduction

Analysis started2024-04-06 11:05:52.795181
Analysis finished2024-04-06 11:05:54.050770
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3210000
358 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 358
100.0%

Length

2024-04-06T20:05:54.168842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:54.347448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 358
100.0%

관리번호
Text

UNIQUE 

Distinct358
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-06T20:05:55.017841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7876
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

Unique358 ?
Unique (%)100.0%

Sample

1st row3210000-120-2003-00001
2nd row3210000-120-2003-00002
3rd row3210000-120-2003-00003
4th row3210000-120-2003-00004
5th row3210000-120-2003-00005
ValueCountFrequency (%)
3210000-120-2003-00001 1
 
0.3%
3210000-120-2014-00010 1
 
0.3%
3210000-120-2016-00008 1
 
0.3%
3210000-120-2016-00007 1
 
0.3%
3210000-120-2016-00006 1
 
0.3%
3210000-120-2016-00005 1
 
0.3%
3210000-120-2016-00004 1
 
0.3%
3210000-120-2016-00003 1
 
0.3%
3210000-120-2016-00002 1
 
0.3%
3210000-120-2016-00001 1
 
0.3%
Other values (348) 348
97.2%
2024-04-06T20:05:55.559536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3612
45.9%
2 1216
 
15.4%
- 1074
 
13.6%
1 1059
 
13.4%
3 503
 
6.4%
4 82
 
1.0%
6 76
 
1.0%
7 71
 
0.9%
5 70
 
0.9%
8 59
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6802
86.4%
Dash Punctuation 1074
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3612
53.1%
2 1216
 
17.9%
1 1059
 
15.6%
3 503
 
7.4%
4 82
 
1.2%
6 76
 
1.1%
7 71
 
1.0%
5 70
 
1.0%
8 59
 
0.9%
9 54
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1074
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7876
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3612
45.9%
2 1216
 
15.4%
- 1074
 
13.6%
1 1059
 
13.4%
3 503
 
6.4%
4 82
 
1.0%
6 76
 
1.0%
7 71
 
0.9%
5 70
 
0.9%
8 59
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7876
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3612
45.9%
2 1216
 
15.4%
- 1074
 
13.6%
1 1059
 
13.4%
3 503
 
6.4%
4 82
 
1.0%
6 76
 
1.0%
7 71
 
0.9%
5 70
 
0.9%
8 59
 
0.7%
Distinct284
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2003-05-31 00:00:00
Maximum2024-03-05 00:00:00
2024-04-06T20:05:55.794128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:56.016145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
3
257 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 257
71.8%
1 101
 
28.2%

Length

2024-04-06T20:05:56.349833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:56.522193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 257
71.8%
1 101
 
28.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
257 
영업/정상
101 

Length

Max length5
Median length2
Mean length2.8463687
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 257
71.8%
영업/정상 101
 
28.2%

Length

2024-04-06T20:05:56.729397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:56.913298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 257
71.8%
영업/정상 101
 
28.2%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2
257 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 257
71.8%
1 101
 
28.2%

Length

2024-04-06T20:05:57.109857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:57.300635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 257
71.8%
1 101
 
28.2%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
폐업
257 
영업
101 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 257
71.8%
영업 101
 
28.2%

Length

2024-04-06T20:05:57.469939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:05:57.674626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 257
71.8%
영업 101
 
28.2%

폐업일자
Date

MISSING 

Distinct225
Distinct (%)87.5%
Missing101
Missing (%)28.2%
Memory size2.9 KiB
Minimum2004-02-02 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T20:05:57.848726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:05:58.051498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct226
Distinct (%)92.6%
Missing114
Missing (%)31.8%
Memory size2.9 KiB
2024-04-06T20:05:58.502521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.881148
Min length8

Characters and Unicode

Total characters2655
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

Unique215 ?
Unique (%)88.1%

Sample

1st row0234619210
2nd row02 7294047
3rd row02 34605849
4th row02 5961626
5th row0234781626
ValueCountFrequency (%)
02 155
32.7%
031 8
 
1.7%
080 7
 
1.5%
7575 6
 
1.3%
234 6
 
1.3%
33920455 4
 
0.8%
070 4
 
0.8%
40086006 3
 
0.6%
521 3
 
0.6%
582 3
 
0.6%
Other values (258) 275
58.0%
2024-04-06T20:05:59.158750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 446
16.8%
2 425
16.0%
322
12.1%
5 236
8.9%
3 224
8.4%
4 192
7.2%
6 168
 
6.3%
7 165
 
6.2%
1 163
 
6.1%
8 160
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2333
87.9%
Space Separator 322
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 446
19.1%
2 425
18.2%
5 236
10.1%
3 224
9.6%
4 192
8.2%
6 168
 
7.2%
7 165
 
7.1%
1 163
 
7.0%
8 160
 
6.9%
9 154
 
6.6%
Space Separator
ValueCountFrequency (%)
322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2655
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 446
16.8%
2 425
16.0%
322
12.1%
5 236
8.9%
3 224
8.4%
4 192
7.2%
6 168
 
6.3%
7 165
 
6.2%
1 163
 
6.1%
8 160
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 446
16.8%
2 425
16.0%
322
12.1%
5 236
8.9%
3 224
8.4%
4 192
7.2%
6 168
 
6.3%
7 165
 
6.2%
1 163
 
6.1%
8 160
 
6.0%

소재지면적
Text

MISSING 

Distinct228
Distinct (%)66.1%
Missing13
Missing (%)3.6%
Memory size2.9 KiB
2024-04-06T20:05:59.817551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.7710145
Min length3

Characters and Unicode

Total characters1991
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

Unique160 ?
Unique (%)46.4%

Sample

1st row29.70
2nd row463.00
3rd row9.90
4th row264.95
5th row82.50
ValueCountFrequency (%)
33.00 11
 
3.2%
16.50 8
 
2.3%
9.90 8
 
2.3%
13.20 6
 
1.7%
19.80 5
 
1.4%
250.00 5
 
1.4%
231.00 4
 
1.2%
518.00 4
 
1.2%
565.00 4
 
1.2%
29.70 4
 
1.2%
Other values (218) 286
82.9%
2024-04-06T20:06:00.705349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 464
23.3%
. 345
17.3%
1 165
 
8.3%
3 151
 
7.6%
2 145
 
7.3%
5 142
 
7.1%
6 131
 
6.6%
4 115
 
5.8%
9 111
 
5.6%
8 111
 
5.6%
Other values (2) 111
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1623
81.5%
Other Punctuation 368
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 464
28.6%
1 165
 
10.2%
3 151
 
9.3%
2 145
 
8.9%
5 142
 
8.7%
6 131
 
8.1%
4 115
 
7.1%
9 111
 
6.8%
8 111
 
6.8%
7 88
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 345
93.8%
, 23
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 464
23.3%
. 345
17.3%
1 165
 
8.3%
3 151
 
7.6%
2 145
 
7.3%
5 142
 
7.1%
6 131
 
6.6%
4 115
 
5.8%
9 111
 
5.6%
8 111
 
5.6%
Other values (2) 111
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 464
23.3%
. 345
17.3%
1 165
 
8.3%
3 151
 
7.6%
2 145
 
7.3%
5 142
 
7.1%
6 131
 
6.6%
4 115
 
5.8%
9 111
 
5.6%
8 111
 
5.6%
Other values (2) 111
 
5.6%
Distinct118
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-06T20:06:01.367888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1396648
Min length6

Characters and Unicode

Total characters2198
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

Unique51 ?
Unique (%)14.2%

Sample

1st row137855
2nd row137-903
3rd row137849
4th row137170
5th row137907
ValueCountFrequency (%)
137170 18
 
5.0%
137862 17
 
4.7%
137070 13
 
3.6%
137893 11
 
3.1%
137040 10
 
2.8%
137900 10
 
2.8%
137876 9
 
2.5%
137863 9
 
2.5%
137867 9
 
2.5%
137896 9
 
2.5%
Other values (108) 243
67.9%
2024-04-06T20:06:02.225240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 478
21.7%
1 451
20.5%
3 425
19.3%
8 293
13.3%
0 171
 
7.8%
9 85
 
3.9%
6 83
 
3.8%
2 59
 
2.7%
5 56
 
2.5%
- 50
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2148
97.7%
Dash Punctuation 50
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 478
22.3%
1 451
21.0%
3 425
19.8%
8 293
13.6%
0 171
 
8.0%
9 85
 
4.0%
6 83
 
3.9%
2 59
 
2.7%
5 56
 
2.6%
4 47
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 478
21.7%
1 451
20.5%
3 425
19.3%
8 293
13.3%
0 171
 
7.8%
9 85
 
3.9%
6 83
 
3.8%
2 59
 
2.7%
5 56
 
2.5%
- 50
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 478
21.7%
1 451
20.5%
3 425
19.3%
8 293
13.3%
0 171
 
7.8%
9 85
 
3.9%
6 83
 
3.8%
2 59
 
2.7%
5 56
 
2.5%
- 50
 
2.3%
Distinct325
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-06T20:06:02.738018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length28.036313
Min length18

Characters and Unicode

Total characters10037
Distinct characters236
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

Unique298 ?
Unique (%)83.2%

Sample

1st row서울특별시 서초구 서초동 1301-4번지 지하1층
2nd row서울특별시 서초구 잠원동 27-8 9층
3rd row서울특별시 서초구 방배동 1000-1번지 상문고등학교
4th row서울특별시 서초구 염곡동 304-0번지 국제협력단연수센터
5th row서울특별시 서초구 잠원동 54-6번지
ValueCountFrequency (%)
서울특별시 358
18.9%
서초구 358
18.9%
서초동 157
 
8.3%
지하1층 75
 
4.0%
방배동 55
 
2.9%
1층 52
 
2.7%
반포동 44
 
2.3%
양재동 44
 
2.3%
우면동 23
 
1.2%
2층 20
 
1.1%
Other values (419) 712
37.5%
2024-04-06T20:06:03.489337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1823
18.2%
919
 
9.2%
534
 
5.3%
1 524
 
5.2%
383
 
3.8%
381
 
3.8%
369
 
3.7%
365
 
3.6%
364
 
3.6%
363
 
3.6%
Other values (226) 4012
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5991
59.7%
Decimal Number 1852
 
18.5%
Space Separator 1823
 
18.2%
Dash Punctuation 274
 
2.7%
Other Punctuation 30
 
0.3%
Uppercase Letter 28
 
0.3%
Open Punctuation 18
 
0.2%
Close Punctuation 18
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
919
15.3%
534
 
8.9%
383
 
6.4%
381
 
6.4%
369
 
6.2%
365
 
6.1%
364
 
6.1%
363
 
6.1%
361
 
6.0%
252
 
4.2%
Other values (198) 1700
28.4%
Decimal Number
ValueCountFrequency (%)
1 524
28.3%
2 207
 
11.2%
3 188
 
10.2%
0 187
 
10.1%
4 160
 
8.6%
5 152
 
8.2%
6 147
 
7.9%
7 123
 
6.6%
9 90
 
4.9%
8 74
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
21.4%
C 5
17.9%
T 4
14.3%
K 4
14.3%
H 2
 
7.1%
N 2
 
7.1%
J 2
 
7.1%
A 1
 
3.6%
D 1
 
3.6%
R 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 28
93.3%
. 1
 
3.3%
& 1
 
3.3%
Space Separator
ValueCountFrequency (%)
1823
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5991
59.7%
Common 4018
40.0%
Latin 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
919
15.3%
534
 
8.9%
383
 
6.4%
381
 
6.4%
369
 
6.2%
365
 
6.1%
364
 
6.1%
363
 
6.1%
361
 
6.0%
252
 
4.2%
Other values (198) 1700
28.4%
Common
ValueCountFrequency (%)
1823
45.4%
1 524
 
13.0%
- 274
 
6.8%
2 207
 
5.2%
3 188
 
4.7%
0 187
 
4.7%
4 160
 
4.0%
5 152
 
3.8%
6 147
 
3.7%
7 123
 
3.1%
Other values (8) 233
 
5.8%
Latin
ValueCountFrequency (%)
B 6
21.4%
C 5
17.9%
T 4
14.3%
K 4
14.3%
H 2
 
7.1%
N 2
 
7.1%
J 2
 
7.1%
A 1
 
3.6%
D 1
 
3.6%
R 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5991
59.7%
ASCII 4046
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1823
45.1%
1 524
 
13.0%
- 274
 
6.8%
2 207
 
5.1%
3 188
 
4.6%
0 187
 
4.6%
4 160
 
4.0%
5 152
 
3.8%
6 147
 
3.6%
7 123
 
3.0%
Other values (18) 261
 
6.5%
Hangul
ValueCountFrequency (%)
919
15.3%
534
 
8.9%
383
 
6.4%
381
 
6.4%
369
 
6.2%
365
 
6.1%
364
 
6.1%
363
 
6.1%
361
 
6.0%
252
 
4.2%
Other values (198) 1700
28.4%

도로명주소
Text

MISSING 

Distinct205
Distinct (%)88.4%
Missing126
Missing (%)35.2%
Memory size2.9 KiB
2024-04-06T20:06:03.887436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length33.836207
Min length21

Characters and Unicode

Total characters7850
Distinct characters246
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

Unique185 ?
Unique (%)79.7%

Sample

1st row서울특별시 서초구 강남대로 587 (잠원동,9층)
2nd row서울특별시 서초구 반포대로 157 (서초동,부속건물 2,3층)
3rd row서울특별시 서초구 반포대로 158, 2층 (서초동)
4th row서울특별시 서초구 과천대로 870-13, 지하1층 (방배동)
5th row서울특별시 서초구 바우뫼로27길 2, 지하 1층 (양재동)
ValueCountFrequency (%)
서울특별시 232
 
15.3%
서초구 232
 
15.3%
서초동 100
 
6.6%
지하1층 58
 
3.8%
1층 35
 
2.3%
양재동 32
 
2.1%
방배동 31
 
2.0%
효령로 26
 
1.7%
반포동 23
 
1.5%
우면동 17
 
1.1%
Other values (336) 734
48.3%
2024-04-06T20:06:04.587155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1288
 
16.4%
655
 
8.3%
391
 
5.0%
, 280
 
3.6%
256
 
3.3%
255
 
3.2%
1 254
 
3.2%
240
 
3.1%
238
 
3.0%
238
 
3.0%
Other values (236) 3755
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4785
61.0%
Space Separator 1288
 
16.4%
Decimal Number 987
 
12.6%
Other Punctuation 282
 
3.6%
Close Punctuation 235
 
3.0%
Open Punctuation 235
 
3.0%
Uppercase Letter 23
 
0.3%
Dash Punctuation 11
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
655
 
13.7%
391
 
8.2%
256
 
5.4%
255
 
5.3%
240
 
5.0%
238
 
5.0%
238
 
5.0%
235
 
4.9%
229
 
4.8%
191
 
4.0%
Other values (208) 1857
38.8%
Decimal Number
ValueCountFrequency (%)
1 254
25.7%
2 164
16.6%
3 113
11.4%
7 84
 
8.5%
5 84
 
8.5%
6 76
 
7.7%
4 76
 
7.7%
9 54
 
5.5%
0 44
 
4.5%
8 38
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
21.7%
C 4
17.4%
K 3
13.0%
T 3
13.0%
H 2
 
8.7%
N 2
 
8.7%
A 1
 
4.3%
R 1
 
4.3%
D 1
 
4.3%
J 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 280
99.3%
. 1
 
0.4%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1288
100.0%
Close Punctuation
ValueCountFrequency (%)
) 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4785
61.0%
Common 3042
38.8%
Latin 23
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
655
 
13.7%
391
 
8.2%
256
 
5.4%
255
 
5.3%
240
 
5.0%
238
 
5.0%
238
 
5.0%
235
 
4.9%
229
 
4.8%
191
 
4.0%
Other values (208) 1857
38.8%
Common
ValueCountFrequency (%)
1288
42.3%
, 280
 
9.2%
1 254
 
8.3%
) 235
 
7.7%
( 235
 
7.7%
2 164
 
5.4%
3 113
 
3.7%
7 84
 
2.8%
5 84
 
2.8%
6 76
 
2.5%
Other values (8) 229
 
7.5%
Latin
ValueCountFrequency (%)
B 5
21.7%
C 4
17.4%
K 3
13.0%
T 3
13.0%
H 2
 
8.7%
N 2
 
8.7%
A 1
 
4.3%
R 1
 
4.3%
D 1
 
4.3%
J 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4785
61.0%
ASCII 3065
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1288
42.0%
, 280
 
9.1%
1 254
 
8.3%
) 235
 
7.7%
( 235
 
7.7%
2 164
 
5.4%
3 113
 
3.7%
7 84
 
2.7%
5 84
 
2.7%
6 76
 
2.5%
Other values (18) 252
 
8.2%
Hangul
ValueCountFrequency (%)
655
 
13.7%
391
 
8.2%
256
 
5.4%
255
 
5.3%
240
 
5.0%
238
 
5.0%
238
 
5.0%
235
 
4.9%
229
 
4.8%
191
 
4.0%
Other values (208) 1857
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)39.6%
Missing128
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean6680.6304
Minimum6504
Maximum6801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:06:04.830386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6504
5-th percentile6546
Q16608.75
median6693
Q36760.75
95-th percentile6792
Maximum6801
Range297
Interquartile range (IQR)152

Descriptive statistics

Standard deviation81.142863
Coefficient of variation (CV)0.012145989
Kurtosis-1.2010251
Mean6680.6304
Median Absolute Deviation (MAD)70
Skewness-0.28399098
Sum1536545
Variance6584.1641
MonotonicityNot monotonic
2024-04-06T20:06:05.077011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6792 9
 
2.5%
6728 8
 
2.2%
6780 8
 
2.2%
6750 7
 
2.0%
6772 6
 
1.7%
6669 6
 
1.7%
6765 6
 
1.7%
6653 5
 
1.4%
6654 5
 
1.4%
6771 5
 
1.4%
Other values (81) 165
46.1%
(Missing) 128
35.8%
ValueCountFrequency (%)
6504 1
 
0.3%
6511 1
 
0.3%
6520 1
 
0.3%
6526 1
 
0.3%
6530 2
0.6%
6536 2
0.6%
6541 1
 
0.3%
6545 1
 
0.3%
6546 3
0.8%
6548 2
0.6%
ValueCountFrequency (%)
6801 1
 
0.3%
6800 2
 
0.6%
6797 1
 
0.3%
6792 9
2.5%
6780 8
2.2%
6779 3
 
0.8%
6772 6
1.7%
6771 5
1.4%
6769 3
 
0.8%
6768 2
 
0.6%
Distinct343
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-06T20:06:05.444665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length22
Mean length13.022346
Min length3

Characters and Unicode

Total characters4662
Distinct characters333
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

Unique329 ?
Unique (%)91.9%

Sample

1st row(주)현대푸드시스템KCC본사점
2nd row(주)현대그린푸드 케이씨씨건설
3rd row한화국통개발(주)상문고등학교
4th row(주)신세계푸드KOICA 연수센터
5th row신동중학교급식소
ValueCountFrequency (%)
주)아워홈 18
 
3.1%
주식회사 13
 
2.2%
서초점 10
 
1.7%
씨제이프레시웨이(주 10
 
1.7%
주)동원홈푸드 10
 
1.7%
주)신세계푸드 9
 
1.5%
구내식당 8
 
1.4%
참푸드시스템 8
 
1.4%
가람푸드써비스(주 8
 
1.4%
삼성웰스토리(주 7
 
1.2%
Other values (414) 485
82.8%
2024-04-06T20:06:06.067868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 234
 
5.0%
) 234
 
5.0%
232
 
5.0%
228
 
4.9%
135
 
2.9%
133
 
2.9%
133
 
2.9%
125
 
2.7%
108
 
2.3%
105
 
2.3%
Other values (323) 2995
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3817
81.9%
Open Punctuation 234
 
5.0%
Close Punctuation 234
 
5.0%
Space Separator 228
 
4.9%
Uppercase Letter 103
 
2.2%
Other Punctuation 17
 
0.4%
Decimal Number 15
 
0.3%
Dash Punctuation 7
 
0.2%
Lowercase Letter 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
232
 
6.1%
135
 
3.5%
133
 
3.5%
133
 
3.5%
125
 
3.3%
108
 
2.8%
105
 
2.8%
75
 
2.0%
71
 
1.9%
63
 
1.7%
Other values (282) 2637
69.1%
Uppercase Letter
ValueCountFrequency (%)
C 17
16.5%
D 13
12.6%
K 11
10.7%
A 10
9.7%
R 7
 
6.8%
S 7
 
6.8%
J 5
 
4.9%
G 4
 
3.9%
N 4
 
3.9%
B 4
 
3.9%
Other values (10) 21
20.4%
Lowercase Letter
ValueCountFrequency (%)
n 1
14.3%
g 1
14.3%
i 1
14.3%
s 1
14.3%
e 1
14.3%
t 1
14.3%
r 1
14.3%
Other Punctuation
ValueCountFrequency (%)
& 9
52.9%
: 4
23.5%
. 2
 
11.8%
, 1
 
5.9%
' 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 4
26.7%
5 2
 
13.3%
6 2
 
13.3%
3 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 234
100.0%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3817
81.9%
Common 735
 
15.8%
Latin 110
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
232
 
6.1%
135
 
3.5%
133
 
3.5%
133
 
3.5%
125
 
3.3%
108
 
2.8%
105
 
2.8%
75
 
2.0%
71
 
1.9%
63
 
1.7%
Other values (282) 2637
69.1%
Latin
ValueCountFrequency (%)
C 17
15.5%
D 13
11.8%
K 11
 
10.0%
A 10
 
9.1%
R 7
 
6.4%
S 7
 
6.4%
J 5
 
4.5%
G 4
 
3.6%
N 4
 
3.6%
B 4
 
3.6%
Other values (17) 28
25.5%
Common
ValueCountFrequency (%)
( 234
31.8%
) 234
31.8%
228
31.0%
& 9
 
1.2%
- 7
 
1.0%
1 5
 
0.7%
2 4
 
0.5%
: 4
 
0.5%
5 2
 
0.3%
6 2
 
0.3%
Other values (4) 6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3817
81.9%
ASCII 845
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 234
27.7%
) 234
27.7%
228
27.0%
C 17
 
2.0%
D 13
 
1.5%
K 11
 
1.3%
A 10
 
1.2%
& 9
 
1.1%
- 7
 
0.8%
R 7
 
0.8%
Other values (31) 75
 
8.9%
Hangul
ValueCountFrequency (%)
232
 
6.1%
135
 
3.5%
133
 
3.5%
133
 
3.5%
125
 
3.3%
108
 
2.8%
105
 
2.8%
75
 
2.0%
71
 
1.9%
63
 
1.7%
Other values (282) 2637
69.1%
Distinct335
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2003-12-08 00:00:00
Maximum2024-03-25 13:34:16
2024-04-06T20:06:06.294843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:06:06.526071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
I
233 
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 233
65.1%
U 125
34.9%

Length

2024-04-06T20:06:06.856552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:07.053633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 233
65.1%
u 125
34.9%
Distinct124
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:07:00
2024-04-06T20:06:07.259542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:06:07.527128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
위탁급식영업
358 

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 358
100.0%

Length

2024-04-06T20:06:07.777190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:07.934753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 358
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)47.7%
Missing8
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean201407.07
Minimum198443.27
Maximum206131.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:06:08.131491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198443.27
5-th percentile198701.89
Q1200437.78
median201395.85
Q3202510.13
95-th percentile203853.91
Maximum206131.24
Range7687.9671
Interquartile range (IQR)2072.3479

Descriptive statistics

Standard deviation1544.1585
Coefficient of variation (CV)0.0076668537
Kurtosis-0.62478462
Mean201407.07
Median Absolute Deviation (MAD)1086.8246
Skewness-0.017659386
Sum70492473
Variance2384425.5
MonotonicityNot monotonic
2024-04-06T20:06:08.368098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202561.93564492 11
 
3.1%
203747.849806806 10
 
2.8%
200437.778720876 8
 
2.2%
202826.387370795 8
 
2.2%
201754.046058565 7
 
2.0%
201119.562170095 7
 
2.0%
202406.470363348 7
 
2.0%
203123.870437513 6
 
1.7%
203853.910379812 6
 
1.7%
201888.930996481 6
 
1.7%
Other values (157) 274
76.5%
(Missing) 8
 
2.2%
ValueCountFrequency (%)
198443.274372584 1
 
0.3%
198464.569551277 1
 
0.3%
198534.748228783 1
 
0.3%
198543.89871364 3
0.8%
198612.513832321 2
 
0.6%
198644.624561 5
1.4%
198662.253966101 1
 
0.3%
198663.885909374 2
 
0.6%
198701.89443902 4
1.1%
198791.788015494 1
 
0.3%
ValueCountFrequency (%)
206131.241466 1
 
0.3%
205551.413292255 1
 
0.3%
204418.836684211 1
 
0.3%
203974.015074827 1
 
0.3%
203947.149900476 4
1.1%
203908.342097327 4
1.1%
203881.968015816 2
 
0.6%
203853.910379812 6
1.7%
203848.497571774 3
0.8%
203825.862435034 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct167
Distinct (%)47.7%
Missing8
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean442496.28
Minimum439176.59
Maximum446012.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:06:08.626537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439176.59
5-th percentile440215.75
Q1441326.19
median442516.71
Q3443518.27
95-th percentile444794.12
Maximum446012.11
Range6835.523
Interquartile range (IQR)2192.0809

Descriptive statistics

Standard deviation1470.4315
Coefficient of variation (CV)0.0033230369
Kurtosis-0.66554151
Mean442496.28
Median Absolute Deviation (MAD)1026.3357
Skewness0.037417436
Sum1.548737 × 108
Variance2162168.7
MonotonicityNot monotonic
2024-04-06T20:06:08.886373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442832.653693993 11
 
3.1%
441192.958631143 10
 
2.8%
442422.597748231 8
 
2.2%
442300.779998552 8
 
2.2%
442005.576285919 7
 
2.0%
442516.709170546 7
 
2.0%
442611.972829952 7
 
2.0%
439984.847528537 6
 
1.7%
440405.05864823 6
 
1.7%
440969.279552515 6
 
1.7%
Other values (157) 274
76.5%
(Missing) 8
 
2.2%
ValueCountFrequency (%)
439176.590519177 1
 
0.3%
439591.553188 1
 
0.3%
439726.499941891 2
 
0.6%
439872.490917827 2
 
0.6%
439958.443578701 1
 
0.3%
439984.847528537 6
1.7%
440056.2719717 1
 
0.3%
440090.858662287 1
 
0.3%
440136.781183797 2
 
0.6%
440215.751657504 3
0.8%
ValueCountFrequency (%)
446012.113480309 1
 
0.3%
445971.21278915 1
 
0.3%
445764.161880369 1
 
0.3%
445666.908243581 2
0.6%
445580.594039349 3
0.8%
445423.823603612 1
 
0.3%
445241.8984183 2
0.6%
445202.396595022 1
 
0.3%
445051.582957908 2
0.6%
444978.789098921 1
 
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
위탁급식영업
287 
<NA>
71 

Length

Max length6
Median length6
Mean length5.603352
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 287
80.2%
<NA> 71
 
19.8%

Length

2024-04-06T20:06:09.123107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:09.766798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 287
80.2%
na 71
 
19.8%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
236 
0
110 
1
 
9
3
 
1
8
 
1

Length

Max length4
Median length4
Mean length2.9776536
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 236
65.9%
0 110
30.7%
1 9
 
2.5%
3 1
 
0.3%
8 1
 
0.3%
2 1
 
0.3%

Length

2024-04-06T20:06:09.939766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:10.176794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 236
65.9%
0 110
30.7%
1 9
 
2.5%
3 1
 
0.3%
8 1
 
0.3%
2 1
 
0.3%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)8.0%
Missing233
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean0.896
Minimum0
Maximum27
Zeros108
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:06:10.421356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.143924
Coefficient of variation (CV)3.5088437
Kurtosis40.537129
Mean0.896
Median Absolute Deviation (MAD)0
Skewness5.6849424
Sum112
Variance9.8842581
MonotonicityNot monotonic
2024-04-06T20:06:10.670382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 108
30.2%
2 4
 
1.1%
6 3
 
0.8%
5 3
 
0.8%
8 2
 
0.6%
3 1
 
0.3%
14 1
 
0.3%
27 1
 
0.3%
7 1
 
0.3%
4 1
 
0.3%
(Missing) 233
65.1%
ValueCountFrequency (%)
0 108
30.2%
2 4
 
1.1%
3 1
 
0.3%
4 1
 
0.3%
5 3
 
0.8%
6 3
 
0.8%
7 1
 
0.3%
8 2
 
0.6%
14 1
 
0.3%
27 1
 
0.3%
ValueCountFrequency (%)
27 1
 
0.3%
14 1
 
0.3%
8 2
 
0.6%
7 1
 
0.3%
6 3
 
0.8%
5 3
 
0.8%
4 1
 
0.3%
3 1
 
0.3%
2 4
 
1.1%
0 108
30.2%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing357
Missing (%)99.7%
Memory size2.9 KiB
2024-04-06T20:06:10.809752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-06T20:06:11.206454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
259 
상수도전용
99 

Length

Max length5
Median length4
Mean length4.2765363
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
72.3%
상수도전용 99
 
27.7%

Length

2024-04-06T20:06:11.411483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:11.608955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
72.3%
상수도전용 99
 
27.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:11.810865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:12.151325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:12.342947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:12.520482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:12.699903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:12.903063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:13.138968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:13.329799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:13.521442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:13.690281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:13.881521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:14.053889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
349 
0
 
9

Length

Max length4
Median length4
Mean length3.924581
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> 349
97.5%
0 9
 
2.5%

Length

2024-04-06T20:06:14.225679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:06:14.387223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 349
97.5%
0 9
 
2.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.7%
Missing71
Missing (%)19.8%
Memory size848.0 B
False
277 
True
 
10
(Missing)
71 
ValueCountFrequency (%)
False 277
77.4%
True 10
 
2.8%
(Missing) 71
 
19.8%
2024-04-06T20:06:14.579897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct183
Distinct (%)63.8%
Missing71
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean333.3092
Minimum0
Maximum4500
Zeros15
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:06:14.808281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q133
median165
Q3449.36
95-th percentile1079.68
Maximum4500
Range4500
Interquartile range (IQR)416.36

Descriptive statistics

Standard deviation528.79634
Coefficient of variation (CV)1.5865039
Kurtosis25.82863
Mean333.3092
Median Absolute Deviation (MAD)147.55
Skewness4.298734
Sum95659.74
Variance279625.56
MonotonicityNot monotonic
2024-04-06T20:06:15.014345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
4.2%
33.0 11
 
3.1%
9.9 8
 
2.2%
16.5 8
 
2.2%
13.2 6
 
1.7%
518.0 4
 
1.1%
231.0 4
 
1.1%
250.0 4
 
1.1%
19.8 4
 
1.1%
50.0 3
 
0.8%
Other values (173) 220
61.5%
(Missing) 71
 
19.8%
ValueCountFrequency (%)
0.0 15
4.2%
3.3 2
 
0.6%
4.95 1
 
0.3%
5.6 1
 
0.3%
6.6 1
 
0.3%
9.9 8
2.2%
13.2 6
 
1.7%
14.0 2
 
0.6%
15.3 1
 
0.3%
16.5 8
2.2%
ValueCountFrequency (%)
4500.0 1
0.3%
4224.0 1
0.3%
2848.16 1
0.3%
2673.84 1
0.3%
2007.45 2
0.6%
1799.93 1
0.3%
1474.2 1
0.3%
1469.94 1
0.3%
1376.0 2
0.6%
1276.03 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing358
Missing (%)100.0%
Memory size3.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032100003210000-120-2003-0000120030531<NA>3폐업2폐업20060302<NA><NA><NA>023461921029.70137855서울특별시 서초구 서초동 1301-4번지 지하1층<NA><NA>(주)현대푸드시스템KCC본사점2005-01-21 00:00:00I2018-08-31 23:59:59.0위탁급식영업201737.068586444519.267486위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N29.7<NA><NA><NA>
132100003210000-120-2003-000022003-05-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA>463.00137-903서울특별시 서초구 잠원동 27-8 9층서울특별시 서초구 강남대로 587 (잠원동,9층)6526(주)현대그린푸드 케이씨씨건설2023-03-15 16:43:19U2022-12-02 23:07:00.0위탁급식영업201643.645894445764.16188<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232100003210000-120-2003-0000320030725<NA>3폐업2폐업20050819<NA><NA><NA>02 7294047<NA>137849서울특별시 서초구 방배동 1000-1번지 상문고등학교<NA><NA>한화국통개발(주)상문고등학교2003-12-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업200309.02722441944.691523위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332100003210000-120-2003-0000420030728<NA>3폐업2폐업20140212<NA><NA><NA>02 346058499.90137170서울특별시 서초구 염곡동 304-0번지 국제협력단연수센터<NA><NA>(주)신세계푸드KOICA 연수센터2014-02-12 15:07:30I2018-08-31 23:59:59.0위탁급식영업203947.1499440237.221464위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N9.9<NA><NA><NA>
432100003210000-120-2003-0000520030811<NA>3폐업2폐업20101109<NA><NA><NA>02 5961626<NA>137907서울특별시 서초구 잠원동 54-6번지<NA><NA>신동중학교급식소2003-12-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업201079.728155446012.11348위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532100003210000-120-2003-0000620030811<NA>3폐업2폐업20070228<NA><NA><NA>0234781626<NA>137801서울특별시 서초구 반포동 22-0번지<NA><NA>원촌중학교급식소2004-12-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업201181.035726444856.173186위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632100003210000-120-2003-0000720030811<NA>3폐업2폐업20101109<NA><NA><NA>0234821627<NA>137807서울특별시 서초구 반포동 586-1번지<NA><NA>방배중학교급식소2003-12-22 00:00:00I2018-08-31 23:59:59.0위탁급식영업199794.202691443589.672964위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
732100003210000-120-2003-0000820030811<NA>3폐업2폐업20101109<NA><NA><NA>02 5221626<NA>137871서울특별시 서초구 서초동 1528-0번지<NA><NA>서초중학교급식소2003-12-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업200720.875442557.81위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
832100003210000-120-2003-0000920030811<NA>3폐업2폐업20101109<NA><NA><NA>02 5328785<NA>137907서울특별시 서초구 잠원동 66-1번지<NA><NA>경원중학교급식소2003-12-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업200753.048812445423.823604위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932100003210000-120-2003-0001020030811<NA>3폐업2폐업20101109<NA><NA><NA>02 5341627<NA>137800서울특별시 서초구 반포동 3-1번지<NA><NA>신반포중학교급식소2003-12-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업199588.814749444830.276938위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
34832100003210000-120-2023-000112023-08-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>555.00137-952서울특별시 서초구 서초동 1500-1서울특별시 서초구 서초대로 224, 1층 (서초동)6655(주)에스피씨지에프에스 SSI Art&Design 국제학교 구내식당2023-09-06 15:45:56U2022-12-09 00:08:00.0위탁급식영업200533.346407443203.935144<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34932100003210000-120-2023-000122023-09-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>272.93137-863서울특별시 서초구 서초동 1365-8 22층서울특별시 서초구 남부순환로 2567, 22층 (서초동)6734코네스트 카페테리아2023-09-11 15:56:09I2022-12-08 23:03:00.0위탁급식영업202677.564388442497.656361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35032100003210000-120-2023-000132023-10-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 30192273359.00137-893서울특별시 서초구 양재동 217-6서울특별시 서초구 양재대로 159 (양재동)6772본우리집밥 코스트코양재점2023-10-23 14:11:38I2022-10-30 22:05:00.0위탁급식영업203123.870438439984.847529<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35132100003210000-120-2023-000142023-10-27<NA>1영업/정상1영업<NA><NA><NA><NA>0230192273445.00137-818서울특별시 서초구 방배동 447-7 서울교통공사 사당별관서울특별시 서초구 효령로 5, 서울교통공사 사당별관 지하1층 (방배동)6693본우리집밥 서울교통공사사당별관점2023-10-27 14:45:16I2022-10-30 22:09:00.0위탁급식영업198644.624561441588.632815<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35232100003210000-120-2023-000152023-11-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>370.00137-924서울특별시 서초구 양재동 215 하이브랜드서울특별시 서초구 매헌로 16, 하이브랜드 지하1층 (양재동)6771(주)엘에스씨푸드이마트양재점2023-11-24 10:36:12I2022-10-31 22:06:00.0위탁급식영업203204.755637440136.781184<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35332100003210000-120-2023-000162023-12-29<NA>1영업/정상1영업<NA><NA><NA><NA>0221352676118.00137-901서울특별시 서초구 우면동 700 지하2층서울특별시 서초구 형촌2길 33, 지하2층 (우면동)6765(주)현대그린푸드 KB골든라이프케어 서초빌리지2023-12-29 16:13:55I2022-11-01 21:01:00.0위탁급식영업201763.704251440329.599233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35432100003210000-120-2024-000012024-01-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>540.00137-881서울특별시 서초구 서초동 1657-7 대성학원 지하1층서울특별시 서초구 서초대로52길 28, 대성학원 지하1층 (서초동)6634선농음식살림(주) 역삼대성학원2024-01-04 10:21:56I2023-12-01 00:06:00.0위탁급식영업201209.167738443372.88496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35532100003210000-120-2024-000022024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 584 2841116.40137-952서울특별시 서초구 서초동 1504서울특별시 서초구 반포대로27길 29 (서초동)6656참푸드시스템 서초고점2024-02-29 16:34:02I2023-12-03 00:02:00.0위탁급식영업200465.500681443011.04818<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35632100003210000-120-2024-000032024-02-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 571 4457129.60137-863서울특별시 서초구 서초동 1376-4서울특별시 서초구 남부순환로346길 9 (서초동)6750참푸드시스템 양재고점2024-02-29 16:48:48I2023-12-03 00:02:00.0위탁급식영업202826.387371442300.779999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35732100003210000-120-2024-000042024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>565.00137-862서울특별시 서초구 서초동 1356-1 서초문화예술정보학교 3층서울특별시 서초구 남부순환로347길 69, 서초문화예술정보학교 3층 (서초동)6728(주)정오아카데미 서초문화예술정보학교점2024-03-05 11:17:31I2023-12-03 00:07:00.0위탁급식영업202561.935645442832.653694<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>