Overview

Dataset statistics

Number of variables44
Number of observations343
Missing cells3051
Missing cells (%)20.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.7 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-18022/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
여성종사자수 is highly imbalanced (63.9%)Imbalance
영업장주변구분명 is highly imbalanced (62.1%)Imbalance
총인원 is highly imbalanced (94.8%)Imbalance
공장사무직종업원수 is highly imbalanced (94.8%)Imbalance
공장판매직종업원수 is highly imbalanced (94.8%)Imbalance
공장생산직종업원수 is highly imbalanced (94.8%)Imbalance
건물소유구분명 is highly imbalanced (68.1%)Imbalance
인허가취소일자 has 343 (100.0%) missing valuesMissing
폐업일자 has 202 (58.9%) missing valuesMissing
휴업시작일자 has 343 (100.0%) missing valuesMissing
휴업종료일자 has 343 (100.0%) missing valuesMissing
재개업일자 has 343 (100.0%) missing valuesMissing
전화번호 has 55 (16.0%) missing valuesMissing
소재지면적 has 26 (7.6%) missing valuesMissing
도로명주소 has 49 (14.3%) missing valuesMissing
도로명우편번호 has 56 (16.3%) missing valuesMissing
좌표정보(X) has 8 (2.3%) missing valuesMissing
좌표정보(Y) has 8 (2.3%) missing valuesMissing
본사종업원수 has 96 (28.0%) missing valuesMissing
다중이용업소여부 has 74 (21.6%) missing valuesMissing
시설총규모 has 74 (21.6%) missing valuesMissing
전통업소지정번호 has 343 (100.0%) missing valuesMissing
전통업소주된음식 has 343 (100.0%) missing valuesMissing
홈페이지 has 343 (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 239 (69.7%) zerosZeros
시설총규모 has 98 (28.6%) zerosZeros

Reproduction

Analysis started2024-05-11 08:07:33.204739
Analysis finished2024-05-11 08:07:33.908258
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3200000
343 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 343
100.0%

Length

2024-05-11T17:07:33.966011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:34.065755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 343
100.0%

관리번호
Text

UNIQUE 

Distinct343
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T17:07:34.233686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7546
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

Unique343 ?
Unique (%)100.0%

Sample

1st row3200000-105-1990-00001
2nd row3200000-105-1990-00002
3rd row3200000-105-1990-00004
4th row3200000-105-1990-00013
5th row3200000-105-1990-00014
ValueCountFrequency (%)
3200000-105-1990-00001 1
 
0.3%
3200000-105-2010-00004 1
 
0.3%
3200000-105-2012-00005 1
 
0.3%
3200000-105-2012-00004 1
 
0.3%
3200000-105-2012-00003 1
 
0.3%
3200000-105-2012-00002 1
 
0.3%
3200000-105-2012-00001 1
 
0.3%
3200000-105-2011-00007 1
 
0.3%
3200000-105-2011-00006 1
 
0.3%
3200000-105-2011-00005 1
 
0.3%
Other values (333) 333
97.1%
2024-05-11T17:07:34.550240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3798
50.3%
- 1029
 
13.6%
2 759
 
10.1%
1 615
 
8.2%
5 492
 
6.5%
3 440
 
5.8%
9 161
 
2.1%
4 72
 
1.0%
6 67
 
0.9%
7 62
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6517
86.4%
Dash Punctuation 1029
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3798
58.3%
2 759
 
11.6%
1 615
 
9.4%
5 492
 
7.5%
3 440
 
6.8%
9 161
 
2.5%
4 72
 
1.1%
6 67
 
1.0%
7 62
 
1.0%
8 51
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1029
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3798
50.3%
- 1029
 
13.6%
2 759
 
10.1%
1 615
 
8.2%
5 492
 
6.5%
3 440
 
5.8%
9 161
 
2.1%
4 72
 
1.0%
6 67
 
0.9%
7 62
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3798
50.3%
- 1029
 
13.6%
2 759
 
10.1%
1 615
 
8.2%
5 492
 
6.5%
3 440
 
5.8%
9 161
 
2.1%
4 72
 
1.0%
6 67
 
0.9%
7 62
 
0.8%
Distinct279
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1990-01-01 00:00:00
Maximum2023-09-07 00:00:00
2024-05-11T17:07:34.697745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:34.838257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
1
202 
3
141 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 202
58.9%
3 141
41.1%

Length

2024-05-11T17:07:34.961857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:35.058106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 202
58.9%
3 141
41.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업/정상
202 
폐업
141 

Length

Max length5
Median length5
Mean length3.7667638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 202
58.9%
폐업 141
41.1%

Length

2024-05-11T17:07:35.167077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:35.276580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 202
58.9%
폐업 141
41.1%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
1
202 
2
141 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 202
58.9%
2 141
41.1%

Length

2024-05-11T17:07:35.386728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:35.493039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 202
58.9%
2 141
41.1%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업
202 
폐업
141 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 202
58.9%
폐업 141
41.1%

Length

2024-05-11T17:07:35.601547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:35.700217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 202
58.9%
폐업 141
41.1%

폐업일자
Date

MISSING 

Distinct133
Distinct (%)94.3%
Missing202
Missing (%)58.9%
Memory size2.8 KiB
Minimum1997-03-05 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T17:07:35.808713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:35.934227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB

전화번호
Text

MISSING 

Distinct278
Distinct (%)96.5%
Missing55
Missing (%)16.0%
Memory size2.8 KiB
2024-05-11T17:07:36.143112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.40625
Min length2

Characters and Unicode

Total characters2997
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

Unique268 ?
Unique (%)93.1%

Sample

1st row02 8805543
2nd row02 8806780
3rd row02 8808536
4th row02 8808536
5th row02 8805547
ValueCountFrequency (%)
02 268
43.4%
880 6
 
1.0%
881 4
 
0.6%
862 4
 
0.6%
888 4
 
0.6%
851 3
 
0.5%
876 3
 
0.5%
886 3
 
0.5%
877 3
 
0.5%
872 3
 
0.5%
Other values (294) 316
51.2%
2024-05-11T17:07:36.852812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 489
16.3%
0 487
16.2%
2 430
14.3%
394
13.1%
7 231
7.7%
5 199
6.6%
6 193
 
6.4%
3 171
 
5.7%
1 164
 
5.5%
4 136
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2603
86.9%
Space Separator 394
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 489
18.8%
0 487
18.7%
2 430
16.5%
7 231
8.9%
5 199
7.6%
6 193
 
7.4%
3 171
 
6.6%
1 164
 
6.3%
4 136
 
5.2%
9 103
 
4.0%
Space Separator
ValueCountFrequency (%)
394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2997
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 489
16.3%
0 487
16.2%
2 430
14.3%
394
13.1%
7 231
7.7%
5 199
6.6%
6 193
 
6.4%
3 171
 
5.7%
1 164
 
5.5%
4 136
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 489
16.3%
0 487
16.2%
2 430
14.3%
394
13.1%
7 231
7.7%
5 199
6.6%
6 193
 
6.4%
3 171
 
5.7%
1 164
 
5.5%
4 136
 
4.5%

소재지면적
Text

MISSING 

Distinct209
Distinct (%)65.9%
Missing26
Missing (%)7.6%
Memory size2.8 KiB
2024-05-11T17:07:37.214179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.7287066
Min length3

Characters and Unicode

Total characters1499
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

Unique185 ?
Unique (%)58.4%

Sample

1st row.00
2nd row120.00
3rd row.00
4th row100.00
5th row.00
ValueCountFrequency (%)
00 77
 
24.3%
0.00 7
 
2.2%
10.00 3
 
0.9%
13.20 3
 
0.9%
158.24 3
 
0.9%
200.00 3
 
0.9%
11.84 2
 
0.6%
159.01 2
 
0.6%
116.74 2
 
0.6%
100.00 2
 
0.6%
Other values (199) 213
67.2%
2024-05-11T17:07:37.684773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 381
25.4%
. 317
21.1%
1 168
11.2%
2 95
 
6.3%
8 91
 
6.1%
5 82
 
5.5%
4 81
 
5.4%
6 76
 
5.1%
9 76
 
5.1%
3 74
 
4.9%
Other values (2) 58
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1179
78.7%
Other Punctuation 320
 
21.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
32.3%
1 168
14.2%
2 95
 
8.1%
8 91
 
7.7%
5 82
 
7.0%
4 81
 
6.9%
6 76
 
6.4%
9 76
 
6.4%
3 74
 
6.3%
7 55
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 317
99.1%
, 3
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 1499
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
25.4%
. 317
21.1%
1 168
11.2%
2 95
 
6.3%
8 91
 
6.1%
5 82
 
5.5%
4 81
 
5.4%
6 76
 
5.1%
9 76
 
5.1%
3 74
 
4.9%
Other values (2) 58
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
25.4%
. 317
21.1%
1 168
11.2%
2 95
 
6.3%
8 91
 
6.1%
5 82
 
5.5%
4 81
 
5.4%
6 76
 
5.1%
9 76
 
5.1%
3 74
 
4.9%
Other values (2) 58
 
3.9%
Distinct120
Distinct (%)35.1%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-05-11T17:07:37.980279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0994152
Min length6

Characters and Unicode

Total characters2086
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

Unique47 ?
Unique (%)13.7%

Sample

1st row151015
2nd row151015
3rd row151015
4th row151015
5th row151015
ValueCountFrequency (%)
151015 27
 
7.9%
151050 18
 
5.3%
151851 14
 
4.1%
151823 9
 
2.6%
151830 9
 
2.6%
151858 8
 
2.3%
151876 7
 
2.0%
151848 7
 
2.0%
151893 6
 
1.8%
151809 5
 
1.5%
Other values (110) 232
67.8%
2024-05-11T17:07:38.432042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 775
37.2%
5 455
21.8%
8 323
15.5%
0 163
 
7.8%
3 67
 
3.2%
2 65
 
3.1%
9 64
 
3.1%
4 50
 
2.4%
7 46
 
2.2%
6 44
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2052
98.4%
Dash Punctuation 34
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 775
37.8%
5 455
22.2%
8 323
15.7%
0 163
 
7.9%
3 67
 
3.3%
2 65
 
3.2%
9 64
 
3.1%
4 50
 
2.4%
7 46
 
2.2%
6 44
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2086
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 775
37.2%
5 455
21.8%
8 323
15.5%
0 163
 
7.8%
3 67
 
3.2%
2 65
 
3.1%
9 64
 
3.1%
4 50
 
2.4%
7 46
 
2.2%
6 44
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2086
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 775
37.2%
5 455
21.8%
8 323
15.5%
0 163
 
7.8%
3 67
 
3.2%
2 65
 
3.1%
9 64
 
3.1%
4 50
 
2.4%
7 46
 
2.2%
6 44
 
2.1%
Distinct311
Distinct (%)90.9%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-05-11T17:07:38.787031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length23.71345
Min length17

Characters and Unicode

Total characters8110
Distinct characters152
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)85.4%

Sample

1st row서울특별시 관악구 신림동 산 56-1
2nd row서울특별시 관악구 신림동 산 56-1번지
3rd row서울특별시 관악구 신림동 산 56-1번지
4th row서울특별시 관악구 신림동 산 56-1번지
5th row서울특별시 관악구 신림동 산 56-1번지
ValueCountFrequency (%)
서울특별시 342
22.6%
관악구 342
22.6%
봉천동 170
11.3%
신림동 158
 
10.5%
37
 
2.4%
남현동 14
 
0.9%
56-1번지 11
 
0.7%
지상1층 9
 
0.6%
4-2번지 6
 
0.4%
0000동 5
 
0.3%
Other values (356) 417
27.6%
2024-05-11T17:07:39.215074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1433
17.7%
1 377
 
4.6%
353
 
4.4%
352
 
4.3%
351
 
4.3%
351
 
4.3%
350
 
4.3%
347
 
4.3%
344
 
4.2%
342
 
4.2%
Other values (142) 3510
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4729
58.3%
Decimal Number 1637
 
20.2%
Space Separator 1433
 
17.7%
Dash Punctuation 303
 
3.7%
Lowercase Letter 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
353
 
7.5%
352
 
7.4%
351
 
7.4%
351
 
7.4%
350
 
7.4%
347
 
7.3%
344
 
7.3%
342
 
7.2%
342
 
7.2%
277
 
5.9%
Other values (125) 1320
27.9%
Decimal Number
ValueCountFrequency (%)
1 377
23.0%
6 192
11.7%
2 167
10.2%
5 152
9.3%
4 149
 
9.1%
0 147
 
9.0%
3 139
 
8.5%
7 130
 
7.9%
8 95
 
5.8%
9 89
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
1433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4729
58.3%
Common 3376
41.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
353
 
7.5%
352
 
7.4%
351
 
7.4%
351
 
7.4%
350
 
7.4%
347
 
7.3%
344
 
7.3%
342
 
7.2%
342
 
7.2%
277
 
5.9%
Other values (125) 1320
27.9%
Common
ValueCountFrequency (%)
1433
42.4%
1 377
 
11.2%
- 303
 
9.0%
6 192
 
5.7%
2 167
 
4.9%
5 152
 
4.5%
4 149
 
4.4%
0 147
 
4.4%
3 139
 
4.1%
7 130
 
3.9%
Other values (4) 187
 
5.5%
Latin
ValueCountFrequency (%)
e 3
60.0%
T 1
 
20.0%
K 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4729
58.3%
ASCII 3381
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1433
42.4%
1 377
 
11.2%
- 303
 
9.0%
6 192
 
5.7%
2 167
 
4.9%
5 152
 
4.5%
4 149
 
4.4%
0 147
 
4.3%
3 139
 
4.1%
7 130
 
3.8%
Other values (7) 192
 
5.7%
Hangul
ValueCountFrequency (%)
353
 
7.5%
352
 
7.4%
351
 
7.4%
351
 
7.4%
350
 
7.4%
347
 
7.3%
344
 
7.3%
342
 
7.2%
342
 
7.2%
277
 
5.9%
Other values (125) 1320
27.9%

도로명주소
Text

MISSING 

Distinct279
Distinct (%)94.9%
Missing49
Missing (%)14.3%
Memory size2.8 KiB
2024-05-11T17:07:39.510220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length27.690476
Min length21

Characters and Unicode

Total characters8141
Distinct characters183
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

Unique269 ?
Unique (%)91.5%

Sample

1st row서울특별시 관악구 관악로 1 (신림동)
2nd row서울특별시 관악구 관악로 1 (신림동)
3rd row서울특별시 관악구 관악로 1 (신림동)
4th row서울특별시 관악구 남현길 63, 0000동 0000호 (남현동)
5th row서울특별시 관악구 봉천로23라길 15, 0000동 0000호 (봉천동)
ValueCountFrequency (%)
서울특별시 294
18.1%
관악구 294
18.1%
봉천동 128
 
7.9%
신림동 128
 
7.9%
관악로 26
 
1.6%
1층 25
 
1.5%
남부순환로 21
 
1.3%
1 20
 
1.2%
남현동 12
 
0.7%
지하1층 11
 
0.7%
Other values (389) 664
40.9%
2024-05-11T17:07:39.962827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1329
 
16.3%
348
 
4.3%
338
 
4.2%
310
 
3.8%
310
 
3.8%
308
 
3.8%
307
 
3.8%
300
 
3.7%
( 294
 
3.6%
294
 
3.6%
Other values (173) 4003
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4956
60.9%
Space Separator 1329
 
16.3%
Decimal Number 1086
 
13.3%
Open Punctuation 294
 
3.6%
Close Punctuation 294
 
3.6%
Other Punctuation 143
 
1.8%
Dash Punctuation 33
 
0.4%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
348
 
7.0%
338
 
6.8%
310
 
6.3%
310
 
6.3%
308
 
6.2%
307
 
6.2%
300
 
6.1%
294
 
5.9%
294
 
5.9%
218
 
4.4%
Other values (155) 1929
38.9%
Decimal Number
ValueCountFrequency (%)
1 265
24.4%
2 124
11.4%
3 111
10.2%
4 105
 
9.7%
5 104
 
9.6%
6 100
 
9.2%
0 94
 
8.7%
7 72
 
6.6%
9 57
 
5.2%
8 54
 
5.0%
Space Separator
ValueCountFrequency (%)
1329
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Other Punctuation
ValueCountFrequency (%)
, 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4956
60.9%
Common 3181
39.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
348
 
7.0%
338
 
6.8%
310
 
6.3%
310
 
6.3%
308
 
6.2%
307
 
6.2%
300
 
6.1%
294
 
5.9%
294
 
5.9%
218
 
4.4%
Other values (155) 1929
38.9%
Common
ValueCountFrequency (%)
1329
41.8%
( 294
 
9.2%
) 294
 
9.2%
1 265
 
8.3%
, 143
 
4.5%
2 124
 
3.9%
3 111
 
3.5%
4 105
 
3.3%
5 104
 
3.3%
6 100
 
3.1%
Other values (6) 312
 
9.8%
Latin
ValueCountFrequency (%)
e 3
75.0%
B 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4956
60.9%
ASCII 3185
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1329
41.7%
( 294
 
9.2%
) 294
 
9.2%
1 265
 
8.3%
, 143
 
4.5%
2 124
 
3.9%
3 111
 
3.5%
4 105
 
3.3%
5 104
 
3.3%
6 100
 
3.1%
Other values (8) 316
 
9.9%
Hangul
ValueCountFrequency (%)
348
 
7.0%
338
 
6.8%
310
 
6.3%
310
 
6.3%
308
 
6.2%
307
 
6.2%
300
 
6.1%
294
 
5.9%
294
 
5.9%
218
 
4.4%
Other values (155) 1929
38.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)42.2%
Missing56
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean8783.5436
Minimum8700
Maximum8866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T17:07:40.110125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8708.3
Q18739
median8782
Q38829
95-th percentile8859
Maximum8866
Range166
Interquartile range (IQR)90

Descriptive statistics

Standard deviation49.549552
Coefficient of variation (CV)0.0056411802
Kurtosis-1.2448385
Mean8783.5436
Median Absolute Deviation (MAD)45
Skewness0.0037862064
Sum2520877
Variance2455.1581
MonotonicityNot monotonic
2024-05-11T17:07:40.250779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8826 11
 
3.2%
8859 9
 
2.6%
8767 7
 
2.0%
8833 7
 
2.0%
8708 6
 
1.7%
8725 6
 
1.7%
8750 6
 
1.7%
8763 6
 
1.7%
8715 5
 
1.5%
8790 5
 
1.5%
Other values (111) 219
63.8%
(Missing) 56
 
16.3%
ValueCountFrequency (%)
8700 4
1.2%
8701 1
 
0.3%
8703 1
 
0.3%
8705 2
 
0.6%
8707 1
 
0.3%
8708 6
1.7%
8709 4
1.2%
8710 1
 
0.3%
8711 2
 
0.6%
8712 1
 
0.3%
ValueCountFrequency (%)
8866 2
 
0.6%
8865 2
 
0.6%
8864 2
 
0.6%
8863 1
 
0.3%
8861 1
 
0.3%
8860 2
 
0.6%
8859 9
2.6%
8858 3
 
0.9%
8857 2
 
0.6%
8856 1
 
0.3%
Distinct319
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T17:07:40.444591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length8.1195335
Min length2

Characters and Unicode

Total characters2785
Distinct characters308
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)86.0%

Sample

1st row서울대학교 제1식당
2nd row서울대학교 제3식당
3rd row서울대학교자하연식당
4th row서울대학교제4식당
5th row서울대학교 제5식당
ValueCountFrequency (%)
서울대학교 13
 
3.3%
어린이집 5
 
1.3%
주식회사 3
 
0.8%
구립 3
 
0.8%
한남여객운수(주 3
 
0.8%
하늘유치원 2
 
0.5%
원광어린이집 2
 
0.5%
서울영어마을 2
 
0.5%
새동원어린이집 2
 
0.5%
봄샘푸르지오어린이집 2
 
0.5%
Other values (336) 355
90.6%
2024-05-11T17:07:40.800067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
5.5%
145
 
5.2%
141
 
5.1%
137
 
4.9%
97
 
3.5%
93
 
3.3%
93
 
3.3%
83
 
3.0%
78
 
2.8%
61
 
2.2%
Other values (298) 1704
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2634
94.6%
Space Separator 49
 
1.8%
Close Punctuation 29
 
1.0%
Open Punctuation 28
 
1.0%
Decimal Number 23
 
0.8%
Uppercase Letter 10
 
0.4%
Other Punctuation 6
 
0.2%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
153
 
5.8%
145
 
5.5%
141
 
5.4%
137
 
5.2%
97
 
3.7%
93
 
3.5%
93
 
3.5%
83
 
3.2%
78
 
3.0%
61
 
2.3%
Other values (273) 1553
59.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
C 1
10.0%
W 1
10.0%
Y 1
10.0%
V 1
10.0%
T 1
10.0%
P 1
10.0%
L 1
10.0%
S 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 7
30.4%
1 6
26.1%
0 4
17.4%
9 2
 
8.7%
6 1
 
4.3%
3 1
 
4.3%
4 1
 
4.3%
5 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
t 1
 
16.7%
r 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
? 1
 
16.7%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2634
94.6%
Common 135
 
4.8%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
153
 
5.8%
145
 
5.5%
141
 
5.4%
137
 
5.2%
97
 
3.7%
93
 
3.5%
93
 
3.5%
83
 
3.2%
78
 
3.0%
61
 
2.3%
Other values (273) 1553
59.0%
Common
ValueCountFrequency (%)
49
36.3%
) 29
21.5%
( 28
20.7%
2 7
 
5.2%
1 6
 
4.4%
. 5
 
3.7%
0 4
 
3.0%
9 2
 
1.5%
6 1
 
0.7%
3 1
 
0.7%
Other values (3) 3
 
2.2%
Latin
ValueCountFrequency (%)
e 4
25.0%
A 2
12.5%
C 1
 
6.2%
W 1
 
6.2%
Y 1
 
6.2%
V 1
 
6.2%
T 1
 
6.2%
t 1
 
6.2%
r 1
 
6.2%
P 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2634
94.6%
ASCII 151
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
153
 
5.8%
145
 
5.5%
141
 
5.4%
137
 
5.2%
97
 
3.7%
93
 
3.5%
93
 
3.5%
83
 
3.2%
78
 
3.0%
61
 
2.3%
Other values (273) 1553
59.0%
ASCII
ValueCountFrequency (%)
49
32.5%
) 29
19.2%
( 28
18.5%
2 7
 
4.6%
1 6
 
4.0%
. 5
 
3.3%
e 4
 
2.6%
0 4
 
2.6%
A 2
 
1.3%
9 2
 
1.3%
Other values (15) 15
 
9.9%
Distinct247
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1999-08-25 00:00:00
Maximum2024-05-03 14:35:43
2024-05-11T17:07:40.937473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:41.076374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
211 
U
132 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 211
61.5%
U 132
38.5%

Length

2024-05-11T17:07:41.210075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:41.312688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 211
61.5%
u 132
38.5%
Distinct129
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T17:07:41.417947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:41.567837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct10
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
어린이집
149 
집단급식소
67 
학교
60 
사회복지시설
20 
병원
20 
Other values (5)
27 

Length

Max length8
Median length6
Mean length3.8046647
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 149
43.4%
집단급식소 67
19.5%
학교 60
17.5%
사회복지시설 20
 
5.8%
병원 20
 
5.8%
산업체 15
 
4.4%
공공기관 8
 
2.3%
기숙사 2
 
0.6%
수련원 1
 
0.3%
기타 집단급식소 1
 
0.3%

Length

2024-05-11T17:07:41.711633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:41.825314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 149
43.3%
집단급식소 68
19.8%
학교 60
17.4%
사회복지시설 20
 
5.8%
병원 20
 
5.8%
산업체 15
 
4.4%
공공기관 8
 
2.3%
기숙사 2
 
0.6%
수련원 1
 
0.3%
기타 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)74.0%
Missing8
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean194590.45
Minimum191342.4
Maximum198374.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T17:07:41.962244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191342.4
5-th percentile192171.41
Q1193350.03
median194656.43
Q3196038.81
95-th percentile197193.21
Maximum198374.47
Range7032.0737
Interquartile range (IQR)2688.7809

Descriptive statistics

Standard deviation1632.0459
Coefficient of variation (CV)0.008387081
Kurtosis-0.75903768
Mean194590.45
Median Absolute Deviation (MAD)1331.8914
Skewness0.061983618
Sum65187802
Variance2663573.9
MonotonicityNot monotonic
2024-05-11T17:07:42.097233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196139.864969792 14
 
4.1%
196467.062244503 6
 
1.7%
195045.515107949 4
 
1.2%
195563.161650411 4
 
1.2%
191342.399599631 4
 
1.2%
194380.936992787 3
 
0.9%
198315.174254041 3
 
0.9%
196350.708293561 3
 
0.9%
195637.300626431 3
 
0.9%
193350.027022729 3
 
0.9%
Other values (238) 288
84.0%
(Missing) 8
 
2.3%
ValueCountFrequency (%)
191342.399599631 4
1.2%
191348.301480814 2
0.6%
191348.859316121 1
 
0.3%
191431.359188867 2
0.6%
191932.299909311 1
 
0.3%
191993.152538095 1
 
0.3%
192012.500669524 2
0.6%
192063.757304563 1
 
0.3%
192080.196042302 1
 
0.3%
192122.439315529 1
 
0.3%
ValueCountFrequency (%)
198374.473281221 1
 
0.3%
198315.174254041 3
0.9%
198251.418610612 1
 
0.3%
198097.13526738 1
 
0.3%
197976.274725426 1
 
0.3%
197950.943334918 2
0.6%
197854.313569708 1
 
0.3%
197688.717831225 1
 
0.3%
197660.450950541 2
0.6%
197529.70612043 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)74.0%
Missing8
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean441757.1
Minimum439023.17
Maximum443547.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T17:07:42.239857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile439784.19
Q1441170.74
median441914.76
Q3442564.16
95-th percentile443237.44
Maximum443547.05
Range4523.8826
Interquartile range (IQR)1393.4218

Descriptive statistics

Standard deviation1097.2455
Coefficient of variation (CV)0.0024838208
Kurtosis-0.07355057
Mean441757.1
Median Absolute Deviation (MAD)675.84132
Skewness-0.71269582
Sum1.4798863 × 108
Variance1203947.6
MonotonicityNot monotonic
2024-05-11T17:07:42.387469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
439023.167125842 14
 
4.1%
439809.669640911 6
 
1.7%
443011.455007816 4
 
1.2%
443064.437566493 4
 
1.2%
442410.463659236 4
 
1.2%
442904.495883997 3
 
0.9%
439931.980156728 3
 
0.9%
442532.440501316 3
 
0.9%
441196.826118022 3
 
0.9%
443216.750634836 3
 
0.9%
Other values (238) 288
84.0%
(Missing) 8
 
2.3%
ValueCountFrequency (%)
439023.167125842 14
4.1%
439342.71569459 1
 
0.3%
439724.746607732 2
 
0.6%
439809.669640911 6
1.7%
439825.822160271 1
 
0.3%
439931.980156728 3
 
0.9%
439932.166155124 1
 
0.3%
439950.644482017 1
 
0.3%
439984.544878335 1
 
0.3%
440001.772568074 1
 
0.3%
ValueCountFrequency (%)
443547.049696825 1
 
0.3%
443440.789010155 2
0.6%
443419.216418425 2
0.6%
443409.838122476 1
 
0.3%
443398.572776194 1
 
0.3%
443341.379446435 1
 
0.3%
443315.22189256 3
0.9%
443311.093291338 1
 
0.3%
443305.536171896 1
 
0.3%
443290.713662991 1
 
0.3%

위생업태명
Categorical

Distinct10
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
어린이집
109 
<NA>
74 
집단급식소
67 
학교
52 
사회복지시설
15 
Other values (5)
26 

Length

Max length6
Median length4
Mean length3.8688047
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 109
31.8%
<NA> 74
21.6%
집단급식소 67
19.5%
학교 52
15.2%
사회복지시설 15
 
4.4%
병원 15
 
4.4%
산업체 5
 
1.5%
공공기관 3
 
0.9%
기숙사 2
 
0.6%
수련원 1
 
0.3%

Length

2024-05-11T17:07:42.519009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:42.643827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 109
31.8%
na 74
21.6%
집단급식소 67
19.5%
학교 52
15.2%
사회복지시설 15
 
4.4%
병원 15
 
4.4%
산업체 5
 
1.5%
공공기관 3
 
0.9%
기숙사 2
 
0.6%
수련원 1
 
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
287 
0
56 

Length

Max length4
Median length4
Mean length3.5102041
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 287
83.7%
0 56
 
16.3%

Length

2024-05-11T17:07:42.802530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:42.921779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
83.7%
0 56
 
16.3%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
286 
0
53 
5
 
2
7
 
2

Length

Max length4
Median length4
Mean length3.5014577
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 286
83.4%
0 53
 
15.5%
5 2
 
0.6%
7 2
 
0.6%

Length

2024-05-11T17:07:43.067618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:43.189165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
83.4%
0 53
 
15.5%
5 2
 
0.6%
7 2
 
0.6%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
283 
기타
38 
주택가주변
 
19
학교정화(절대)
 
2
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8688047
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 283
82.5%
기타 38
 
11.1%
주택가주변 19
 
5.5%
학교정화(절대) 2
 
0.6%
학교정화(상대) 1
 
0.3%

Length

2024-05-11T17:07:43.305342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:43.407533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
82.5%
기타 38
 
11.1%
주택가주변 19
 
5.5%
학교정화(절대 2
 
0.6%
학교정화(상대 1
 
0.3%

등급구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
283 
기타
60 

Length

Max length4
Median length4
Mean length3.6501458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 283
82.5%
기타 60
 
17.5%

Length

2024-05-11T17:07:43.533922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:43.640286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
82.5%
기타 60
 
17.5%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
183 
상수도전용
160 

Length

Max length5
Median length4
Mean length4.4664723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 183
53.4%
상수도전용 160
46.6%

Length

2024-05-11T17:07:43.740548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:43.849462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
53.4%
상수도전용 160
46.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
341 
0
 
2

Length

Max length4
Median length4
Mean length3.9825073
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> 341
99.4%
0 2
 
0.6%

Length

2024-05-11T17:07:43.954845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:44.049712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 341
99.4%
0 2
 
0.6%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.2%
Missing96
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean0.33198381
Minimum0
Maximum35
Zeros239
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T17:07:44.130398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5951623
Coefficient of variation (CV)7.8171351
Kurtosis134.47569
Mean0.33198381
Median Absolute Deviation (MAD)0
Skewness10.848571
Sum82
Variance6.7348672
MonotonicityNot monotonic
2024-05-11T17:07:44.227806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 239
69.7%
1 2
 
0.6%
4 1
 
0.3%
8 1
 
0.3%
35 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
14 1
 
0.3%
(Missing) 96
28.0%
ValueCountFrequency (%)
0 239
69.7%
1 2
 
0.6%
4 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
10 1
 
0.3%
14 1
 
0.3%
35 1
 
0.3%
ValueCountFrequency (%)
35 1
 
0.3%
14 1
 
0.3%
10 1
 
0.3%
9 1
 
0.3%
8 1
 
0.3%
4 1
 
0.3%
1 2
 
0.6%
0 239
69.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
341 
0
 
2

Length

Max length4
Median length4
Mean length3.9825073
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> 341
99.4%
0 2
 
0.6%

Length

2024-05-11T17:07:44.357763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:44.464711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 341
99.4%
0 2
 
0.6%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
341 
0
 
2

Length

Max length4
Median length4
Mean length3.9825073
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> 341
99.4%
0 2
 
0.6%

Length

2024-05-11T17:07:44.593936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:44.999437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 341
99.4%
0 2
 
0.6%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
341 
0
 
2

Length

Max length4
Median length4
Mean length3.9825073
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> 341
99.4%
0 2
 
0.6%

Length

2024-05-11T17:07:45.104457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:45.223839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 341
99.4%
0 2
 
0.6%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
311 
자가
 
27
임대
 
5

Length

Max length4
Median length4
Mean length3.8134111
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> 311
90.7%
자가 27
 
7.9%
임대 5
 
1.5%

Length

2024-05-11T17:07:45.331232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:45.443753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 311
90.7%
자가 27
 
7.9%
임대 5
 
1.5%

보증액
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
222 
0
121 

Length

Max length4
Median length4
Mean length2.941691
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> 222
64.7%
0 121
35.3%

Length

2024-05-11T17:07:45.555391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:45.662039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
64.7%
0 121
35.3%

월세액
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
222 
0
121 

Length

Max length4
Median length4
Mean length2.941691
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> 222
64.7%
0 121
35.3%

Length

2024-05-11T17:07:45.765732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:45.872895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
64.7%
0 121
35.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing74
Missing (%)21.6%
Memory size818.0 B
False
269 
(Missing)
74 
ValueCountFrequency (%)
False 269
78.4%
(Missing) 74
 
21.6%
2024-05-11T17:07:45.966486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct156
Distinct (%)58.0%
Missing74
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean97.375093
Minimum0
Maximum1131.18
Zeros98
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T17:07:46.084747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.17
Q386.24
95-th percentile522.2
Maximum1131.18
Range1131.18
Interquartile range (IQR)86.24

Descriptive statistics

Standard deviation185.26217
Coefficient of variation (CV)1.9025622
Kurtosis9.5400072
Mean97.375093
Median Absolute Deviation (MAD)23.17
Skewness2.9090861
Sum26193.9
Variance34322.073
MonotonicityNot monotonic
2024-05-11T17:07:46.235785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 98
28.6%
640.79 3
 
0.9%
40.0 2
 
0.6%
66.0 2
 
0.6%
15.0 2
 
0.6%
16.5 2
 
0.6%
13.2 2
 
0.6%
15.51 2
 
0.6%
183.6 2
 
0.6%
13.0 2
 
0.6%
Other values (146) 152
44.3%
(Missing) 74
21.6%
ValueCountFrequency (%)
0.0 98
28.6%
7.9 1
 
0.3%
9.9 1
 
0.3%
10.0 1
 
0.3%
10.55 1
 
0.3%
11.2 1
 
0.3%
11.55 1
 
0.3%
12.0 2
 
0.6%
12.64 1
 
0.3%
13.0 2
 
0.6%
ValueCountFrequency (%)
1131.18 1
 
0.3%
1056.49 1
 
0.3%
997.0 1
 
0.3%
840.0 1
 
0.3%
778.24 1
 
0.3%
640.79 3
0.9%
595.0 1
 
0.3%
550.0 1
 
0.3%
549.46 2
0.6%
533.0 1
 
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing343
Missing (%)100.0%
Memory size3.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032000003200000-105-1990-0000119900101<NA>1영업/정상1영업<NA><NA><NA><NA>02 8805543.00151015서울특별시 관악구 신림동 산 56-1서울특별시 관악구 관악로 1 (신림동)8826서울대학교 제1식당2020-12-14 11:39:21U2020-12-16 02:40:00.0학교196139.86497439023.167126학교00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
132000003200000-105-1990-0000219900910<NA>1영업/정상1영업<NA><NA><NA><NA>02 8806780120.00151015서울특별시 관악구 신림동 산 56-1번지서울특별시 관악구 관악로 1 (신림동)8826서울대학교 제3식당2017-08-23 18:51:01I2018-08-31 23:59:59.0학교196139.86497439023.167126학교00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N840.0<NA><NA><NA>
232000003200000-105-1990-0000419900910<NA>1영업/정상1영업<NA><NA><NA><NA>02 8808536.00151015서울특별시 관악구 신림동 산 56-1번지서울특별시 관악구 관악로 1 (신림동)8826서울대학교자하연식당2018-04-11 15:40:46I2018-08-31 23:59:59.0학교196139.86497439023.167126학교00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332000003200000-105-1990-0001319900910<NA>3폐업2폐업20100830<NA><NA><NA>02 8808536100.00151015서울특별시 관악구 신림동 산 56-1번지<NA><NA>서울대학교제4식당2010-08-23 15:11:08I2018-08-31 23:59:59.0집단급식소196139.86497439023.167126집단급식소00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N595.0<NA><NA><NA>
432000003200000-105-1990-0001419900910<NA>3폐업2폐업20100705<NA><NA><NA>02 8805547.00151015서울특별시 관악구 신림동 산 56-1번지<NA><NA>서울대학교 제5식당2009-08-19 14:39:28I2018-08-31 23:59:59.0집단급식소196139.86497439023.167126집단급식소00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532000003200000-105-1990-0001519900910<NA>3폐업2폐업20020307<NA><NA><NA>02 8806780.00151015서울특별시 관악구 신림동 산 56-1번지<NA><NA>서울대 공대간이식당2002-03-07 00:00:00I2018-08-31 23:59:59.0집단급식소196139.86497439023.167126집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632000003200000-105-1990-0001719900406<NA>1영업/정상1영업<NA><NA><NA><NA>02 5847097.00151800서울특별시 관악구 남현동 1083-29번지 0000동 0000호서울특별시 관악구 남현길 63, 0000동 0000호 (남현동)8807상록보육원2017-08-23 18:51:01I2018-08-31 23:59:59.0사회복지시설197854.31357441291.685594사회복지시설00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
732000003200000-105-1990-0001819900406<NA>1영업/정상1영업<NA><NA><NA><NA>02 8771846.00151829서울특별시 관악구 봉천동 647-10번지 0000동 0000호서울특별시 관악구 봉천로23라길 15, 0000동 0000호 (봉천동)8718동명아동복지센타2017-08-23 18:51:01I2018-08-31 23:59:59.0사회복지시설194380.936993442904.495884사회복지시설00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
832000003200000-105-1990-0001919900412<NA>1영업/정상1영업<NA><NA><NA><NA>02 8748001.00151810서울특별시 관악구 봉천동 36-83번지 0000동 0000호서울특별시 관악구 관악로 242, 0000동 0000호 (봉천동)8735강남고려병원2017-08-23 18:51:01I2018-08-31 23:59:59.0병원196106.551569442595.67119병원00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932000003200000-105-1990-0006719900910<NA>3폐업2폐업20121228<NA><NA><NA>02 8805544115.00151015서울특별시 관악구 신림동 산 56-1번지<NA><NA>서울대학교 제2식당2010-08-23 14:58:35I2018-08-31 23:59:59.0집단급식소196139.86497439023.167126집단급식소00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N495.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
33332000003200000-105-2021-0000420211005<NA>1영업/정상1영업<NA><NA><NA><NA><NA>997.00151801서울특별시 관악구 남현동 산 100-14 수도방위사령부서울특별시 관악구 과천대로 851 (남현동, 한울아파트)8810수도방위사령부2022-02-17 16:39:52U2022-02-19 02:40:00.0공공기관198315.174254439931.980157공공기관00<NA><NA>상수도전용00000<NA>00N997.0<NA><NA><NA>
33432000003200000-105-2021-0000520211007<NA>1영업/정상1영업<NA><NA><NA><NA><NA>86.70151836서울특별시 관악구 봉천동 869-12 대연빌딩서울특별시 관악구 남부순환로 1814, 대연빌딩 1층 (봉천동)8787미올한방병원 서울대점2022-09-23 09:40:36U2021-12-08 22:05:00.0병원195647.366394442105.342412<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33532000003200000-105-2021-0000620211022<NA>1영업/정상1영업<NA><NA><NA><NA>02 876 397999.00151843서울특별시 관악구 봉천동 902-4서울특별시 관악구 은천로 72-5, 지하1층 (봉천동)8750서울크리스챤스쿨학원2022-04-05 19:34:11U2021-12-04 00:08:00.0기타 집단급식소194935.765269442665.333044<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33632000003200000-105-2022-0000120220621<NA>1영업/정상1영업<NA><NA><NA><NA><NA>53.80151875서울특별시 관악구 신림동 527-13 삼남빌딩서울특별시 관악구 남부순환로 1485, 삼남빌딩 8층 (신림동)8761바를정 한방병원2022-09-06 17:38:26U2021-12-09 00:08:00.0병원192455.883042442267.149218<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33732000003200000-105-2022-0000220220831<NA>1영업/정상1영업<NA><NA><NA><NA>02 873 8730140.00151858서울특별시 관악구 신림동 241-42서울특별시 관악구 신림로 87-8, 지하1층 (신림동)8814한남여객운수(주) 구내식당2022-09-29 16:51:56U2021-10-31 00:01:00.0산업체194587.780227440878.05538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33832000003200000-105-2022-000032022-12-26<NA>3폐업2폐업2023-09-07<NA><NA><NA><NA>755.00151-902서울특별시 관악구 신림동 1644서울특별시 관악구 조원로 25, 1층 107호 (신림동)8700구립뉴포레어린이집2023-09-07 15:55:07U2022-12-09 00:09:00.0어린이집191431.359189442453.045867<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33932000003200000-105-2023-000012023-04-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>700.00151-855서울특별시 관악구 신림동 산 1-274 구립장군봉어린이집서울특별시 관악구 장군봉길 100, 구립장군봉어린이집 (신림동)8783구립 장군봉어린이집2023-04-25 15:30:39I2022-12-03 22:07:00.0어린이집194560.971191441847.762766<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34032000003200000-105-2023-000022023-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>116.74151-885서울특별시 관악구 신림동 675-343 서울숲요양원서울특별시 관악구 난향7길 68, 서울숲요양원 (신림동)8859서울숲 요양원2023-05-09 16:37:17I2022-12-04 23:01:00.0사회복지시설192414.659228439724.746608<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34132000003200000-105-2023-000032023-08-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>638.80151-015서울특별시 관악구 신림동 산 56-1 서울대학교서울특별시 관악구 관악로 1, 서울대학교 220동 지하1층 (신림동)8826220동식당2023-08-21 13:53:16U2022-12-07 22:03:00.0학교196139.86497439023.167126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34232000003200000-105-2023-000042023-09-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>663.00151-902서울특별시 관악구 신림동 1644서울특별시 관악구 조원로 25 (신림동)8700뉴포레어린이집2023-09-07 16:04:34I2022-12-09 00:09:00.0어린이집191431.359189442453.045867<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>