Overview

Dataset statistics

Number of variables44
Number of observations365
Missing cells3255
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory133.8 KiB
Average record size in memory375.4 B

Variable types

Categorical20
Text7
DateTime4
Unsupported7
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-18003/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업장주변구분명 is highly imbalanced (56.5%)Imbalance
건물소유구분명 is highly imbalanced (88.3%)Imbalance
다중이용업소여부 is highly imbalanced (96.6%)Imbalance
인허가취소일자 has 365 (100.0%) missing valuesMissing
폐업일자 has 194 (53.2%) missing valuesMissing
휴업시작일자 has 365 (100.0%) missing valuesMissing
휴업종료일자 has 365 (100.0%) missing valuesMissing
재개업일자 has 365 (100.0%) missing valuesMissing
전화번호 has 41 (11.2%) missing valuesMissing
소재지면적 has 8 (2.2%) missing valuesMissing
도로명주소 has 89 (24.4%) missing valuesMissing
도로명우편번호 has 97 (26.6%) missing valuesMissing
좌표정보(X) has 14 (3.8%) missing valuesMissing
좌표정보(Y) has 14 (3.8%) missing valuesMissing
본사종업원수 has 81 (22.2%) missing valuesMissing
다중이용업소여부 has 81 (22.2%) missing valuesMissing
시설총규모 has 81 (22.2%) missing valuesMissing
전통업소지정번호 has 365 (100.0%) missing valuesMissing
전통업소주된음식 has 365 (100.0%) missing valuesMissing
홈페이지 has 365 (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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사종업원수 has 279 (76.4%) zerosZeros
시설총규모 has 84 (23.0%) zerosZeros

Reproduction

Analysis started2024-04-06 10:08:46.505061
Analysis finished2024-04-06 10:08:47.893771
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3010000
365 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 365
100.0%

Length

2024-04-06T19:08:48.021930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:48.195905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 365
100.0%

관리번호
Text

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T19:08:48.512345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters8030
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

Unique365 ?
Unique (%)100.0%

Sample

1st row3010000-105-1985-00028
2nd row3010000-105-1987-00002
3rd row3010000-105-1987-00003
4th row3010000-105-1987-00004
5th row3010000-105-1987-00005
ValueCountFrequency (%)
3010000-105-1985-00028 1
 
0.3%
3010000-105-2007-00010 1
 
0.3%
3010000-105-2010-00006 1
 
0.3%
3010000-105-2010-00005 1
 
0.3%
3010000-105-2010-00004 1
 
0.3%
3010000-105-2010-00003 1
 
0.3%
3010000-105-2010-00002 1
 
0.3%
3010000-105-2010-00001 1
 
0.3%
3010000-105-2009-00004 1
 
0.3%
3010000-105-2009-00003 1
 
0.3%
Other values (355) 355
97.3%
2024-04-06T19:08:49.140797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3849
47.9%
1 1123
 
14.0%
- 1095
 
13.6%
3 470
 
5.9%
5 468
 
5.8%
2 379
 
4.7%
9 262
 
3.3%
8 111
 
1.4%
7 103
 
1.3%
4 94
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6935
86.4%
Dash Punctuation 1095
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3849
55.5%
1 1123
 
16.2%
3 470
 
6.8%
5 468
 
6.7%
2 379
 
5.5%
9 262
 
3.8%
8 111
 
1.6%
7 103
 
1.5%
4 94
 
1.4%
6 76
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1095
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8030
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3849
47.9%
1 1123
 
14.0%
- 1095
 
13.6%
3 470
 
5.9%
5 468
 
5.8%
2 379
 
4.7%
9 262
 
3.3%
8 111
 
1.4%
7 103
 
1.3%
4 94
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3849
47.9%
1 1123
 
14.0%
- 1095
 
13.6%
3 470
 
5.9%
5 468
 
5.8%
2 379
 
4.7%
9 262
 
3.3%
8 111
 
1.4%
7 103
 
1.3%
4 94
 
1.2%
Distinct325
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1985-05-12 00:00:00
Maximum2023-10-25 00:00:00
2024-04-06T19:08:49.402819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:49.664163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1
194 
3
171 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 194
53.2%
3 171
46.8%

Length

2024-04-06T19:08:49.992113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:50.163242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 194
53.2%
3 171
46.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
영업/정상
194 
폐업
171 

Length

Max length5
Median length5
Mean length3.5945205
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 194
53.2%
폐업 171
46.8%

Length

2024-04-06T19:08:50.331753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:50.501837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 194
53.2%
폐업 171
46.8%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
1
194 
2
171 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 194
53.2%
2 171
46.8%

Length

2024-04-06T19:08:50.779567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:51.018643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 194
53.2%
2 171
46.8%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
영업
194 
폐업
171 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 194
53.2%
폐업 171
46.8%

Length

2024-04-06T19:08:51.260086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:08:51.426331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 194
53.2%
폐업 171
46.8%

폐업일자
Date

MISSING 

Distinct161
Distinct (%)94.2%
Missing194
Missing (%)53.2%
Memory size3.0 KiB
Minimum1996-01-12 00:00:00
Maximum2024-01-30 00:00:00
2024-04-06T19:08:51.606432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:08:51.834045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct301
Distinct (%)92.9%
Missing41
Missing (%)11.2%
Memory size3.0 KiB
2024-04-06T19:08:52.248118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.157407
Min length2

Characters and Unicode

Total characters3291
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

Unique285 ?
Unique (%)88.0%

Sample

1st row02 7762715
2nd row02 0 0
3rd row02 3920677
4th row02 0
5th row02 0 0
ValueCountFrequency (%)
02 142
29.2%
0 19
 
3.9%
0221280181 2
 
0.4%
3921881 2
 
0.4%
729 2
 
0.4%
0222354000 2
 
0.4%
7756546 2
 
0.4%
7716829 2
 
0.4%
0222608951 2
 
0.4%
0222382211 2
 
0.4%
Other values (301) 309
63.6%
2024-04-06T19:08:52.861917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 754
22.9%
0 624
19.0%
7 281
 
8.5%
3 265
 
8.1%
1 260
 
7.9%
245
 
7.4%
5 194
 
5.9%
6 191
 
5.8%
8 173
 
5.3%
9 152
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3046
92.6%
Space Separator 245
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 754
24.8%
0 624
20.5%
7 281
 
9.2%
3 265
 
8.7%
1 260
 
8.5%
5 194
 
6.4%
6 191
 
6.3%
8 173
 
5.7%
9 152
 
5.0%
4 152
 
5.0%
Space Separator
ValueCountFrequency (%)
245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 754
22.9%
0 624
19.0%
7 281
 
8.5%
3 265
 
8.1%
1 260
 
7.9%
245
 
7.4%
5 194
 
5.9%
6 191
 
5.8%
8 173
 
5.3%
9 152
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 754
22.9%
0 624
19.0%
7 281
 
8.5%
3 265
 
8.1%
1 260
 
7.9%
245
 
7.4%
5 194
 
5.9%
6 191
 
5.8%
8 173
 
5.3%
9 152
 
4.6%

소재지면적
Text

MISSING 

Distinct289
Distinct (%)81.0%
Missing8
Missing (%)2.2%
Memory size3.0 KiB
2024-04-06T19:08:53.446615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.4677871
Min length3

Characters and Unicode

Total characters1952
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

Unique252 ?
Unique (%)70.6%

Sample

1st row52.33
2nd row73.79
3rd row34.00
4th row35.77
5th row10.58
ValueCountFrequency (%)
00 24
 
6.7%
66.00 4
 
1.1%
230.00 3
 
0.8%
12.00 3
 
0.8%
63.00 3
 
0.8%
66.78 3
 
0.8%
495.00 3
 
0.8%
16.50 3
 
0.8%
15.00 3
 
0.8%
74.40 2
 
0.6%
Other values (279) 306
85.7%
2024-04-06T19:08:54.281902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 444
22.7%
. 357
18.3%
1 191
9.8%
2 155
 
7.9%
3 134
 
6.9%
5 125
 
6.4%
6 118
 
6.0%
4 111
 
5.7%
8 104
 
5.3%
7 98
 
5.0%
Other values (2) 115
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1574
80.6%
Other Punctuation 378
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 444
28.2%
1 191
12.1%
2 155
 
9.8%
3 134
 
8.5%
5 125
 
7.9%
6 118
 
7.5%
4 111
 
7.1%
8 104
 
6.6%
7 98
 
6.2%
9 94
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 357
94.4%
, 21
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Common 1952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 444
22.7%
. 357
18.3%
1 191
9.8%
2 155
 
7.9%
3 134
 
6.9%
5 125
 
6.4%
6 118
 
6.0%
4 111
 
5.7%
8 104
 
5.3%
7 98
 
5.0%
Other values (2) 115
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 444
22.7%
. 357
18.3%
1 191
9.8%
2 155
 
7.9%
3 134
 
6.9%
5 125
 
6.4%
6 118
 
6.0%
4 111
 
5.7%
8 104
 
5.3%
7 98
 
5.0%
Other values (2) 115
 
5.9%
Distinct145
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T19:08:54.937266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1369863
Min length6

Characters and Unicode

Total characters2240
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

Unique68 ?
Unique (%)18.6%

Sample

1st row100810
2nd row100162
3rd row100371
4th row100210
5th row100101
ValueCountFrequency (%)
100250 13
 
3.6%
100450 10
 
2.7%
100092 9
 
2.5%
100011 9
 
2.5%
100032 9
 
2.5%
100856 9
 
2.5%
100162 8
 
2.2%
100802 8
 
2.2%
100101 7
 
1.9%
100120 7
 
1.9%
Other values (135) 276
75.6%
2024-04-06T19:08:55.748734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 924
41.2%
1 509
22.7%
8 190
 
8.5%
2 132
 
5.9%
5 95
 
4.2%
4 90
 
4.0%
3 81
 
3.6%
9 61
 
2.7%
7 59
 
2.6%
- 50
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2190
97.8%
Dash Punctuation 50
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 924
42.2%
1 509
23.2%
8 190
 
8.7%
2 132
 
6.0%
5 95
 
4.3%
4 90
 
4.1%
3 81
 
3.7%
9 61
 
2.8%
7 59
 
2.7%
6 49
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 924
41.2%
1 509
22.7%
8 190
 
8.5%
2 132
 
5.9%
5 95
 
4.2%
4 90
 
4.0%
3 81
 
3.6%
9 61
 
2.7%
7 59
 
2.6%
- 50
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 924
41.2%
1 509
22.7%
8 190
 
8.5%
2 132
 
5.9%
5 95
 
4.2%
4 90
 
4.0%
3 81
 
3.6%
9 61
 
2.7%
7 59
 
2.6%
- 50
 
2.2%
Distinct345
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T19:08:56.280308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length24.731507
Min length14

Characters and Unicode

Total characters9027
Distinct characters234
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

Unique325 ?
Unique (%)89.0%

Sample

1st row서울특별시 중구 명동2가 51-14번지
2nd row서울특별시 중구 봉래동2가 168-0번지
3rd row서울특별시 중구 만리동1가 62-7번지
4th row서울특별시 중구 수하동 50-0번지 집단급식소
5th row서울특별시 중구 태평로1가 29-1번지
ValueCountFrequency (%)
서울특별시 365
20.9%
중구 365
20.9%
신당동 63
 
3.6%
지하1층 36
 
2.1%
을지로2가 24
 
1.4%
지하2층 23
 
1.3%
남대문로5가 16
 
0.9%
장충동2가 16
 
0.9%
예장동 15
 
0.9%
충무로1가 12
 
0.7%
Other values (506) 808
46.4%
2024-04-06T19:08:57.069118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1660
18.4%
1 407
 
4.5%
396
 
4.4%
386
 
4.3%
379
 
4.2%
378
 
4.2%
372
 
4.1%
370
 
4.1%
368
 
4.1%
367
 
4.1%
Other values (224) 3944
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5341
59.2%
Decimal Number 1662
 
18.4%
Space Separator 1660
 
18.4%
Dash Punctuation 281
 
3.1%
Open Punctuation 27
 
0.3%
Close Punctuation 27
 
0.3%
Uppercase Letter 12
 
0.1%
Other Punctuation 9
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
396
 
7.4%
386
 
7.2%
379
 
7.1%
378
 
7.1%
372
 
7.0%
370
 
6.9%
368
 
6.9%
367
 
6.9%
277
 
5.2%
246
 
4.6%
Other values (194) 1802
33.7%
Decimal Number
ValueCountFrequency (%)
1 407
24.5%
2 333
20.0%
0 170
10.2%
3 155
 
9.3%
5 153
 
9.2%
6 115
 
6.9%
4 112
 
6.7%
8 86
 
5.2%
7 70
 
4.2%
9 61
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
K 3
25.0%
S 2
16.7%
A 2
16.7%
L 1
 
8.3%
B 1
 
8.3%
T 1
 
8.3%
I 1
 
8.3%
M 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
e 1
16.7%
k 1
16.7%
x 1
16.7%
t 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1660
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5341
59.2%
Common 3668
40.6%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
396
 
7.4%
386
 
7.2%
379
 
7.1%
378
 
7.1%
372
 
7.0%
370
 
6.9%
368
 
6.9%
367
 
6.9%
277
 
5.2%
246
 
4.6%
Other values (194) 1802
33.7%
Common
ValueCountFrequency (%)
1660
45.3%
1 407
 
11.1%
2 333
 
9.1%
- 281
 
7.7%
0 170
 
4.6%
3 155
 
4.2%
5 153
 
4.2%
6 115
 
3.1%
4 112
 
3.1%
8 86
 
2.3%
Other values (7) 196
 
5.3%
Latin
ValueCountFrequency (%)
K 3
16.7%
S 2
11.1%
A 2
11.1%
s 2
11.1%
L 1
 
5.6%
B 1
 
5.6%
T 1
 
5.6%
e 1
 
5.6%
I 1
 
5.6%
k 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5341
59.2%
ASCII 3686
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1660
45.0%
1 407
 
11.0%
2 333
 
9.0%
- 281
 
7.6%
0 170
 
4.6%
3 155
 
4.2%
5 153
 
4.2%
6 115
 
3.1%
4 112
 
3.0%
8 86
 
2.3%
Other values (20) 214
 
5.8%
Hangul
ValueCountFrequency (%)
396
 
7.4%
386
 
7.2%
379
 
7.1%
378
 
7.1%
372
 
7.0%
370
 
6.9%
368
 
6.9%
367
 
6.9%
277
 
5.2%
246
 
4.6%
Other values (194) 1802
33.7%

도로명주소
Text

MISSING 

Distinct267
Distinct (%)96.7%
Missing89
Missing (%)24.4%
Memory size3.0 KiB
2024-04-06T19:08:57.583311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length29.778986
Min length19

Characters and Unicode

Total characters8219
Distinct characters252
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

Unique260 ?
Unique (%)94.2%

Sample

1st row서울특별시 중구 을지로 30 (소공동)
2nd row서울특별시 중구 소공로 109 (소공동, 지하1층)
3rd row서울특별시 중구 남대문로 81, 15층 (소공동)
4th row서울특별시 중구 서소문로 117 (서소문동)
5th row서울특별시 중구 소월로 50 (남대문로5가, 지하2층)
ValueCountFrequency (%)
서울특별시 276
 
16.9%
중구 276
 
16.9%
신당동 46
 
2.8%
지하1층 33
 
2.0%
을지로 31
 
1.9%
퇴계로 26
 
1.6%
지하2층 24
 
1.5%
을지로2가 15
 
0.9%
30 15
 
0.9%
2층 14
 
0.9%
Other values (448) 877
53.7%
2024-04-06T19:08:58.614059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1359
 
16.5%
347
 
4.2%
304
 
3.7%
) 297
 
3.6%
( 297
 
3.6%
290
 
3.5%
289
 
3.5%
284
 
3.5%
284
 
3.5%
280
 
3.4%
Other values (242) 4188
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4890
59.5%
Space Separator 1359
 
16.5%
Decimal Number 1140
 
13.9%
Close Punctuation 297
 
3.6%
Open Punctuation 297
 
3.6%
Other Punctuation 202
 
2.5%
Uppercase Letter 16
 
0.2%
Dash Punctuation 10
 
0.1%
Lowercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
347
 
7.1%
304
 
6.2%
290
 
5.9%
289
 
5.9%
284
 
5.8%
284
 
5.8%
280
 
5.7%
278
 
5.7%
261
 
5.3%
175
 
3.6%
Other values (209) 2098
42.9%
Decimal Number
ValueCountFrequency (%)
1 259
22.7%
2 237
20.8%
3 130
11.4%
5 105
9.2%
0 91
 
8.0%
4 80
 
7.0%
6 72
 
6.3%
8 59
 
5.2%
9 54
 
4.7%
7 53
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
K 4
25.0%
S 3
18.8%
A 2
12.5%
T 1
 
6.2%
B 1
 
6.2%
L 1
 
6.2%
I 1
 
6.2%
J 1
 
6.2%
C 1
 
6.2%
M 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
e 1
16.7%
k 1
16.7%
x 1
16.7%
t 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 200
99.0%
& 1
 
0.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4890
59.5%
Common 3307
40.2%
Latin 22
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
347
 
7.1%
304
 
6.2%
290
 
5.9%
289
 
5.9%
284
 
5.8%
284
 
5.8%
280
 
5.7%
278
 
5.7%
261
 
5.3%
175
 
3.6%
Other values (209) 2098
42.9%
Common
ValueCountFrequency (%)
1359
41.1%
) 297
 
9.0%
( 297
 
9.0%
1 259
 
7.8%
2 237
 
7.2%
, 200
 
6.0%
3 130
 
3.9%
5 105
 
3.2%
0 91
 
2.8%
4 80
 
2.4%
Other values (8) 252
 
7.6%
Latin
ValueCountFrequency (%)
K 4
18.2%
S 3
13.6%
A 2
 
9.1%
s 2
 
9.1%
T 1
 
4.5%
B 1
 
4.5%
L 1
 
4.5%
I 1
 
4.5%
e 1
 
4.5%
J 1
 
4.5%
Other values (5) 5
22.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4890
59.5%
ASCII 3329
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1359
40.8%
) 297
 
8.9%
( 297
 
8.9%
1 259
 
7.8%
2 237
 
7.1%
, 200
 
6.0%
3 130
 
3.9%
5 105
 
3.2%
0 91
 
2.7%
4 80
 
2.4%
Other values (23) 274
 
8.2%
Hangul
ValueCountFrequency (%)
347
 
7.1%
304
 
6.2%
290
 
5.9%
289
 
5.9%
284
 
5.8%
284
 
5.8%
280
 
5.7%
278
 
5.7%
261
 
5.3%
175
 
3.6%
Other values (209) 2098
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)38.8%
Missing97
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean4565.944
Minimum4500
Maximum4637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T19:08:58.871795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4500
5-th percentile4509
Q14527
median4560
Q34605
95-th percentile4632.65
Maximum4637
Range137
Interquartile range (IQR)78

Descriptive statistics

Standard deviation42.957873
Coefficient of variation (CV)0.0094083224
Kurtosis-1.3693206
Mean4565.944
Median Absolute Deviation (MAD)37
Skewness0.20269547
Sum1223673
Variance1845.3789
MonotonicityNot monotonic
2024-04-06T19:08:59.127192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4628 9
 
2.5%
4516 8
 
2.2%
4637 8
 
2.2%
4523 7
 
1.9%
4538 6
 
1.6%
4509 6
 
1.6%
4620 6
 
1.6%
4539 5
 
1.4%
4579 5
 
1.4%
4548 5
 
1.4%
Other values (94) 203
55.6%
(Missing) 97
26.6%
ValueCountFrequency (%)
4500 4
1.1%
4501 1
 
0.3%
4502 1
 
0.3%
4505 2
 
0.5%
4506 3
0.8%
4507 1
 
0.3%
4508 1
 
0.3%
4509 6
1.6%
4510 2
 
0.5%
4511 2
 
0.5%
ValueCountFrequency (%)
4637 8
2.2%
4636 1
 
0.3%
4635 2
 
0.5%
4634 2
 
0.5%
4633 1
 
0.3%
4632 1
 
0.3%
4631 5
1.4%
4630 1
 
0.3%
4629 4
1.1%
4628 9
2.5%
Distinct342
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T19:08:59.570398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length8.9561644
Min length2

Characters and Unicode

Total characters3269
Distinct characters332
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique321 ?
Unique (%)87.9%

Sample

1st row(주)에스콰이아
2nd row철도청
3rd row고려서적(주)
4th row동국제강
5th row뉴-서울호텔
ValueCountFrequency (%)
주식회사 10
 
2.1%
어린이집 10
 
2.1%
직원식당 8
 
1.6%
구내식당 6
 
1.2%
주)신세계 5
 
1.0%
서울종합방재센터 3
 
0.6%
직장어린이집 3
 
0.6%
본점 3
 
0.6%
주)조선호텔앤리조트 3
 
0.6%
서울특별시 3
 
0.6%
Other values (391) 433
88.9%
2024-04-06T19:09:00.430409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
3.7%
104
 
3.2%
( 101
 
3.1%
) 101
 
3.1%
89
 
2.7%
67
 
2.0%
62
 
1.9%
57
 
1.7%
56
 
1.7%
56
 
1.7%
Other values (322) 2455
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2892
88.5%
Space Separator 122
 
3.7%
Open Punctuation 101
 
3.1%
Close Punctuation 101
 
3.1%
Uppercase Letter 42
 
1.3%
Decimal Number 5
 
0.2%
Other Punctuation 4
 
0.1%
Letter Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
104
 
3.6%
89
 
3.1%
67
 
2.3%
62
 
2.1%
57
 
2.0%
56
 
1.9%
56
 
1.9%
55
 
1.9%
55
 
1.9%
53
 
1.8%
Other values (297) 2238
77.4%
Uppercase Letter
ValueCountFrequency (%)
K 11
26.2%
S 9
21.4%
T 5
11.9%
C 3
 
7.1%
L 3
 
7.1%
D 2
 
4.8%
G 2
 
4.8%
J 2
 
4.8%
B 1
 
2.4%
X 1
 
2.4%
Other values (3) 3
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
5 2
40.0%
7 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
! 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
121
99.2%
  1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2892
88.5%
Common 334
 
10.2%
Latin 43
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
104
 
3.6%
89
 
3.1%
67
 
2.3%
62
 
2.1%
57
 
2.0%
56
 
1.9%
56
 
1.9%
55
 
1.9%
55
 
1.9%
53
 
1.8%
Other values (297) 2238
77.4%
Latin
ValueCountFrequency (%)
K 11
25.6%
S 9
20.9%
T 5
11.6%
C 3
 
7.0%
L 3
 
7.0%
D 2
 
4.7%
G 2
 
4.7%
J 2
 
4.7%
B 1
 
2.3%
X 1
 
2.3%
Other values (4) 4
 
9.3%
Common
ValueCountFrequency (%)
121
36.2%
( 101
30.2%
) 101
30.2%
2 2
 
0.6%
& 2
 
0.6%
5 2
 
0.6%
! 1
 
0.3%
7 1
 
0.3%
  1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2892
88.5%
ASCII 375
 
11.5%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
32.3%
( 101
26.9%
) 101
26.9%
K 11
 
2.9%
S 9
 
2.4%
T 5
 
1.3%
C 3
 
0.8%
L 3
 
0.8%
D 2
 
0.5%
2 2
 
0.5%
Other values (13) 17
 
4.5%
Hangul
ValueCountFrequency (%)
104
 
3.6%
89
 
3.1%
67
 
2.3%
62
 
2.1%
57
 
2.0%
56
 
1.9%
56
 
1.9%
55
 
1.9%
55
 
1.9%
53
 
1.8%
Other values (297) 2238
77.4%
Number Forms
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
  1
100.0%
Distinct335
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1999-04-24 00:00:00
Maximum2024-03-28 16:02:38
2024-04-06T19:09:00.658373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:09:00.906599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
234 
U
131 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 234
64.1%
U 131
35.9%

Length

2024-04-06T19:09:01.222543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:01.426050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 234
64.1%
u 131
35.9%
Distinct132
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:06:00
2024-04-06T19:09:01.650552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:09:01.891794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
집단급식소
124 
산업체
105 
어린이집
58 
학교
35 
공공기관
16 
Other values (3)
27 

Length

Max length8
Median length6
Mean length3.9479452
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 124
34.0%
산업체 105
28.8%
어린이집 58
15.9%
학교 35
 
9.6%
공공기관 16
 
4.4%
사회복지시설 14
 
3.8%
병원 8
 
2.2%
기타 집단급식소 5
 
1.4%

Length

2024-04-06T19:09:02.121027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:02.345508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 129
34.9%
산업체 105
28.4%
어린이집 58
15.7%
학교 35
 
9.5%
공공기관 16
 
4.3%
사회복지시설 14
 
3.8%
병원 8
 
2.2%
기타 5
 
1.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)71.5%
Missing14
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean199087.53
Minimum196614.67
Maximum202128.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T19:09:02.566933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196614.67
5-th percentile197143.1
Q1198043.64
median198744.43
Q3200233.41
95-th percentile201700.26
Maximum202128.14
Range5513.4707
Interquartile range (IQR)2189.7747

Descriptive statistics

Standard deviation1412.4386
Coefficient of variation (CV)0.007094561
Kurtosis-0.88721187
Mean199087.53
Median Absolute Deviation (MAD)1004.9867
Skewness0.44383445
Sum69879724
Variance1994982.9
MonotonicityNot monotonic
2024-04-06T19:09:02.761750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199803.37296067 6
 
1.6%
197243.215346366 5
 
1.4%
198562.632745775 4
 
1.1%
198519.736197762 4
 
1.1%
198611.239939362 3
 
0.8%
200219.373968049 3
 
0.8%
201362.695573425 3
 
0.8%
201944.611391747 3
 
0.8%
197143.10408516 3
 
0.8%
199145.32420106 3
 
0.8%
Other values (241) 314
86.0%
(Missing) 14
 
3.8%
ValueCountFrequency (%)
196614.666296856 1
0.3%
196700.055871163 1
0.3%
196746.506418769 1
0.3%
196749.444934893 1
0.3%
196757.683195655 1
0.3%
196943.320394325 1
0.3%
196948.933328771 2
0.5%
196981.426086312 1
0.3%
197032.923485936 1
0.3%
197034.02843741 1
0.3%
ValueCountFrequency (%)
202128.136971071 1
 
0.3%
201945.852349721 2
0.5%
201944.611391747 3
0.8%
201918.878798555 1
 
0.3%
201903.052184536 2
0.5%
201866.039519433 1
 
0.3%
201852.931048042 2
0.5%
201823.908977364 1
 
0.3%
201771.959333334 1
 
0.3%
201720.475374655 2
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)71.5%
Missing14
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean451012.55
Minimum449361.32
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T19:09:02.986232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449361.32
5-th percentile450075.94
Q1450679.5
median451040.43
Q3451438.22
95-th percentile451755.23
Maximum452076.82
Range2715.5002
Interquartile range (IQR)758.72067

Descriptive statistics

Standard deviation523.72593
Coefficient of variation (CV)0.0011612225
Kurtosis-0.28963309
Mean451012.55
Median Absolute Deviation (MAD)383.08765
Skewness-0.51106722
Sum1.583054 × 108
Variance274288.85
MonotonicityNot monotonic
2024-04-06T19:09:03.245111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450779.092503874 6
 
1.6%
450655.104239931 5
 
1.4%
450975.116406048 4
 
1.1%
451570.324241735 4
 
1.1%
451473.248315455 3
 
0.8%
451288.387900531 3
 
0.8%
451177.222462071 3
 
0.8%
451423.520308245 3
 
0.8%
451569.761397214 3
 
0.8%
451040.432662092 3
 
0.8%
Other values (241) 314
86.0%
(Missing) 14
 
3.8%
ValueCountFrequency (%)
449361.318495913 1
0.3%
449391.341799319 1
0.3%
449638.824308081 2
0.5%
449809.744684888 2
0.5%
449859.454550281 1
0.3%
449877.44410054 2
0.5%
449879.351185815 1
0.3%
449952.509481192 2
0.5%
450007.085555684 1
0.3%
450010.47643147 1
0.3%
ValueCountFrequency (%)
452076.818664092 1
0.3%
451995.163058 1
0.3%
451851.925540893 1
0.3%
451837.180272831 2
0.5%
451836.458256618 1
0.3%
451829.96432958 2
0.5%
451808.098341971 1
0.3%
451808.048376715 1
0.3%
451807.073619232 1
0.3%
451804.346043518 2
0.5%

위생업태명
Categorical

Distinct9
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
집단급식소
124 
<NA>
81 
산업체
61 
어린이집
39 
학교
27 
Other values (4)
33 

Length

Max length8
Median length6
Mean length4.0794521
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 124
34.0%
<NA> 81
22.2%
산업체 61
16.7%
어린이집 39
 
10.7%
학교 27
 
7.4%
공공기관 12
 
3.3%
사회복지시설 11
 
3.0%
병원 7
 
1.9%
기타 집단급식소 3
 
0.8%

Length

2024-04-06T19:09:03.517929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:03.710246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 127
34.5%
na 81
22.0%
산업체 61
16.6%
어린이집 39
 
10.6%
학교 27
 
7.3%
공공기관 12
 
3.3%
사회복지시설 11
 
3.0%
병원 7
 
1.9%
기타 3
 
0.8%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:03.934748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:04.091914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:04.282245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:04.459273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
235 
기타
127 
학교정화(상대)
 
1
주택가주변
 
1
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length3.3287671
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 235
64.4%
기타 127
34.8%
학교정화(상대) 1
 
0.3%
주택가주변 1
 
0.3%
학교정화(절대) 1
 
0.3%

Length

2024-04-06T19:09:04.638274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:04.815309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
64.4%
기타 127
34.8%
학교정화(상대 1
 
0.3%
주택가주변 1
 
0.3%
학교정화(절대 1
 
0.3%

등급구분명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
235 
기타
128 
자율
 
2

Length

Max length4
Median length4
Mean length3.2876712
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 235
64.4%
기타 128
35.1%
자율 2
 
0.5%

Length

2024-04-06T19:09:05.050802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:05.231242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 235
64.4%
기타 128
35.1%
자율 2
 
0.5%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
219 
상수도전용
146 

Length

Max length5
Median length4
Mean length4.4
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> 219
60.0%
상수도전용 146
40.0%

Length

2024-04-06T19:09:05.435412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:05.596881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 219
60.0%
상수도전용 146
40.0%

총인원
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:05.901810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:06.140751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.1%
Missing81
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.1971831
Minimum0
Maximum22
Zeros279
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T19:09:06.412796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8407996
Coefficient of variation (CV)9.3354838
Kurtosis117.36806
Mean0.1971831
Median Absolute Deviation (MAD)0
Skewness10.63348
Sum56
Variance3.3885433
MonotonicityNot monotonic
2024-04-06T19:09:06.593910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 279
76.4%
1 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
22 1
 
0.3%
20 1
 
0.3%
(Missing) 81
 
22.2%
ValueCountFrequency (%)
0 279
76.4%
1 1
 
0.3%
6 1
 
0.3%
7 1
 
0.3%
20 1
 
0.3%
22 1
 
0.3%
ValueCountFrequency (%)
22 1
 
0.3%
20 1
 
0.3%
7 1
 
0.3%
6 1
 
0.3%
1 1
 
0.3%
0 279
76.4%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:06.793841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:06.984104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:07.196871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:07.397366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:07.599612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:07.780921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
356 
자가
 
7
임대
 
2

Length

Max length4
Median length4
Mean length3.9506849
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 356
97.5%
자가 7
 
1.9%
임대 2
 
0.5%

Length

2024-04-06T19:09:07.971964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:08.205609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 356
97.5%
자가 7
 
1.9%
임대 2
 
0.5%

보증액
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:08.384982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:08.611314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%

월세액
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
284 
<NA>
81 

Length

Max length4
Median length1
Mean length1.6657534
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 284
77.8%
<NA> 81
 
22.2%

Length

2024-04-06T19:09:08.795347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:09.095649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 284
77.8%
na 81
 
22.2%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.7%
Missing81
Missing (%)22.2%
Memory size862.0 B
False
283 
True
 
1
(Missing)
81 
ValueCountFrequency (%)
False 283
77.5%
True 1
 
0.3%
(Missing) 81
 
22.2%
2024-04-06T19:09:09.249147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct196
Distinct (%)69.0%
Missing81
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean248.24993
Minimum0
Maximum4066.8
Zeros84
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T19:09:09.478239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median90.385
Q3367.925
95-th percentile919.2
Maximum4066.8
Range4066.8
Interquartile range (IQR)367.925

Descriptive statistics

Standard deviation424.61988
Coefficient of variation (CV)1.7104532
Kurtosis31.738
Mean248.24993
Median Absolute Deviation (MAD)90.385
Skewness4.6370582
Sum70502.98
Variance180302.04
MonotonicityNot monotonic
2024-04-06T19:09:10.108760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 84
23.0%
14.0 2
 
0.5%
29.7 2
 
0.5%
70.0 2
 
0.5%
30.0 2
 
0.5%
15.0 2
 
0.5%
126.16 1
 
0.3%
229.0 1
 
0.3%
99.0 1
 
0.3%
303.4 1
 
0.3%
Other values (186) 186
51.0%
(Missing) 81
22.2%
ValueCountFrequency (%)
0.0 84
23.0%
6.14 1
 
0.3%
9.0 1
 
0.3%
12.0 1
 
0.3%
12.24 1
 
0.3%
14.0 2
 
0.5%
14.87 1
 
0.3%
15.0 2
 
0.5%
16.52 1
 
0.3%
16.95 1
 
0.3%
ValueCountFrequency (%)
4066.8 1
0.3%
2861.0 1
0.3%
2766.52 1
0.3%
1957.0 1
0.3%
1152.78 1
0.3%
1136.15 1
0.3%
1045.54 1
0.3%
1000.03 1
0.3%
968.55 1
0.3%
959.1 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030100003010000-105-1985-0002819850512<NA>3폐업2폐업20090602<NA><NA><NA>02 776271552.33100810서울특별시 중구 명동2가 51-14번지<NA><NA>(주)에스콰이아2008-08-14 11:39:37I2018-08-31 23:59:59.0집단급식소198539.246462451217.150102집단급식소00기타기타<NA>00000<NA>00N230.83<NA><NA><NA>
130100003010000-105-1987-0000219870513<NA>3폐업2폐업19981104<NA><NA><NA>02 0 073.79100162서울특별시 중구 봉래동2가 168-0번지<NA><NA>철도청2001-10-08 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA>00000<NA>00N478.0<NA><NA><NA>
230100003010000-105-1987-0000319870513<NA>3폐업2폐업20001019<NA><NA><NA>02 392067734.00100371서울특별시 중구 만리동1가 62-7번지<NA><NA>고려서적(주)2001-10-08 00:00:00I2018-08-31 23:59:59.0집단급식소197034.028437450305.644873집단급식소00기타기타<NA>00000<NA>00N81.02<NA><NA><NA>
330100003010000-105-1987-0000419870514<NA>3폐업2폐업20000105<NA><NA><NA>02 035.77100210서울특별시 중구 수하동 50-0번지 집단급식소<NA><NA>동국제강2000-01-05 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA>00000<NA>00N255.6<NA><NA><NA>
430100003010000-105-1987-0000519870511<NA>3폐업2폐업19970604<NA><NA><NA>02 0 010.58100101서울특별시 중구 태평로1가 29-1번지<NA><NA>뉴-서울호텔2001-10-08 00:00:00I2018-08-31 23:59:59.0집단급식소198000.967177451745.025547집단급식소00기타기타<NA>00000<NA>00N33.21<NA><NA><NA>
530100003010000-105-1987-0000619870523<NA>3폐업2폐업20000113<NA><NA><NA>0222596114221.47100092서울특별시 중구 남대문로2가 130-0번지<NA><NA>(주)한빛은행구내식당2000-01-13 00:00:00I2018-08-31 23:59:59.0집단급식소198333.470885451313.412912집단급식소00기타기타<NA>00000<NA>00N712.14<NA><NA><NA>
630100003010000-105-1987-0002619870509<NA>3폐업2폐업20071102<NA><NA><NA>02 758383166.78100092서울특별시 중구 남대문로2가 5-0번지<NA><NA>한국전력공사2007-04-02 00:00:00I2018-08-31 23:59:59.0집단급식소198420.049985451448.298224집단급식소00기타기타상수도전용00000<NA>00N337.3<NA><NA><NA>
730100003010000-105-1987-0002719870509<NA>3폐업2폐업20050729<NA><NA><NA>02 3101041.00100011서울특별시 중구 충무로1가 52-5번지<NA><NA>(주)신세계2004-04-22 00:00:00I2018-08-31 23:59:59.0집단급식소198263.908392450960.762965집단급식소00기타기타상수도전용00000<NA>00N181.02<NA><NA><NA>
830100003010000-105-1987-000291987-05-13<NA>1영업/정상1영업<NA><NA><NA><NA>02 7597115152.44100-070서울특별시 중구 소공동 1서울특별시 중구 을지로 30 (소공동)4533(주)호텔롯데2023-09-07 15:25:04U2022-12-09 00:09:00.0산업체198259.653577451392.198219<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
930100003010000-105-1987-000301987-05-13<NA>1영업/정상1영업<NA><NA><NA><NA>02310732953.40100-070서울특별시 중구 소공동 111-5 지하1층서울특별시 중구 소공로 109 (소공동, 지하1층)4525한화호텔앤드리조트(주)사원식당2023-12-21 13:09:44U2022-11-01 22:03:00.0산업체198034.125157451321.557842<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
35530100003010000-105-2022-0000320220921<NA>1영업/정상1영업<NA><NA><NA><NA><NA>851.60100095서울특별시 중구 남대문로5가 831서울특별시 중구 세종대로 14, 지하2층 (남대문로5가)4527현대캐피탈 주식회사2022-09-21 16:26:56I2021-12-08 22:03:00.0산업체197617.499745450635.113214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35630100003010000-105-2022-0000420221109<NA>1영업/정상1영업<NA><NA><NA><NA><NA>124.70100011서울특별시 중구 충무로1가 21-17서울특별시 중구 명동8나길 38, 지하2층 (충무로1가)4535(주)케이티에스테이트 르메르디앙 목시지점2022-11-09 14:42:21I2021-10-31 23:01:00.0산업체198403.083197451049.012426<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35730100003010000-105-2022-0000520221114<NA>1영업/정상1영업<NA><NA><NA><NA><NA>654.71100051서울특별시 중구 회현동1가 210서울특별시 중구 퇴계로 67, 28층 (회현동1가)4529효성중공업(주)2022-11-14 16:28:16I2021-10-31 23:06:00.0산업체198119.346973450841.274063<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35830100003010000-105-2022-0000620221123<NA>1영업/정상1영업<NA><NA><NA><NA><NA>21.30100095서울특별시 중구 남대문로5가 831서울특별시 중구 세종대로 14, 2층 (남대문로5가)4527현대캐피탈 도담어린이집2022-11-23 10:48:50I2021-10-31 22:05:00.0어린이집197617.499745450635.113214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35930100003010000-105-2023-000012023-02-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>76.97100-820서울특별시 중구 신당동 160-2서울특별시 중구 퇴계로 460, 3층 (신당동)4579(사)서울시지체장애인협회 중구지회2023-02-24 15:17:39I2022-12-01 22:06:00.0기타 집단급식소201944.611392451423.520308<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36030100003010000-105-2023-000022023-03-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.50100-813서울특별시 중구 서소문동 37서울특별시 중구 서소문로11길 24, 지하1층 (서소문동)4515서울시청직장어린이집2023-03-14 14:56:19I2022-12-02 23:06:00.0어린이집197672.213474451336.718396<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36130100003010000-105-2023-000032023-05-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>66.00100-011서울특별시 중구 충무로1가 24-1 밀레오레 명동서울특별시 중구 퇴계로 115, 밀레오레 명동 지하2층 (충무로1가)4536주식회사 선우종합관리 직원식당2023-05-12 15:13:16I2022-12-04 23:04:00.0산업체198562.632746450975.116406<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36230100003010000-105-2023-000042023-08-03<NA>1영업/정상1영업<NA><NA><NA><NA>02 729 5353<NA>100-797서울특별시 중구 장교동 1 한화빌딩서울특별시 중구 청계천로 86, 한화빌딩 28층 (장교동)4541고메이플레이스 한화빌딩점2023-08-03 11:42:08I2022-12-08 00:05:00.0산업체198744.433229451677.065126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36330100003010000-105-2023-000052023-09-20<NA>1영업/정상1영업<NA><NA><NA><NA>02 60721234423.92100-391서울특별시 중구 장충동1가 56-85서울특별시 중구 장충단로 180, 2층 (장충동1가)4606(주)신세계 남산2023-09-20 17:43:40I2022-12-08 22:02:00.0산업체200476.341194450937.189818<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36430100003010000-105-2023-000062023-10-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>153.00100-032서울특별시 중구 저동2가 69서울특별시 중구 수표로 33 (저동2가)4552대한예수교장로회영락교회2023-10-25 11:17:38I2022-10-30 22:07:00.0기타 집단급식소198977.21973451323.321855<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>