Overview

Dataset statistics

Number of variables44
Number of observations525
Missing cells4673
Missing cells (%)20.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory192.4 KiB
Average record size in memory375.3 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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-18023/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업장주변구분명 is highly imbalanced (50.3%)Imbalance
총인원 is highly imbalanced (70.0%)Imbalance
공장사무직종업원수 is highly imbalanced (70.0%)Imbalance
공장판매직종업원수 is highly imbalanced (70.0%)Imbalance
공장생산직종업원수 is highly imbalanced (70.0%)Imbalance
건물소유구분명 is highly imbalanced (63.1%)Imbalance
다중이용업소여부 is highly imbalanced (84.2%)Imbalance
인허가취소일자 has 525 (100.0%) missing valuesMissing
폐업일자 has 309 (58.9%) missing valuesMissing
휴업시작일자 has 525 (100.0%) missing valuesMissing
휴업종료일자 has 525 (100.0%) missing valuesMissing
재개업일자 has 525 (100.0%) missing valuesMissing
전화번호 has 87 (16.6%) missing valuesMissing
소재지면적 has 21 (4.0%) missing valuesMissing
도로명주소 has 89 (17.0%) missing valuesMissing
도로명우편번호 has 92 (17.5%) missing valuesMissing
좌표정보(X) has 11 (2.1%) missing valuesMissing
좌표정보(Y) has 11 (2.1%) missing valuesMissing
본사종업원수 has 200 (38.1%) missing valuesMissing
다중이용업소여부 has 89 (17.0%) missing valuesMissing
시설총규모 has 89 (17.0%) missing valuesMissing
전통업소지정번호 has 525 (100.0%) missing valuesMissing
전통업소주된음식 has 525 (100.0%) missing valuesMissing
홈페이지 has 525 (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 167 (31.8%) zerosZeros
시설총규모 has 204 (38.9%) zerosZeros

Reproduction

Analysis started2024-04-17 18:24:01.604106
Analysis finished2024-04-17 18:24:02.327587
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3210000
525 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3210000 525
100.0%

Length

2024-04-18T03:24:02.376286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:02.443000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 525
100.0%

관리번호
Text

UNIQUE 

Distinct525
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T03:24:02.570630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters11550
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

Unique525 ?
Unique (%)100.0%

Sample

1st row3210000-105-1974-00001
2nd row3210000-105-1978-00114
3rd row3210000-105-1979-00003
4th row3210000-105-1980-00064
5th row3210000-105-1980-00092
ValueCountFrequency (%)
3210000-105-1974-00001 1
 
0.2%
3210000-105-2012-00006 1
 
0.2%
3210000-105-2013-00022 1
 
0.2%
3210000-105-2013-00021 1
 
0.2%
3210000-105-2013-00020 1
 
0.2%
3210000-105-2013-00019 1
 
0.2%
3210000-105-2013-00018 1
 
0.2%
3210000-105-2013-00017 1
 
0.2%
3210000-105-2013-00016 1
 
0.2%
3210000-105-2013-00015 1
 
0.2%
Other values (515) 515
98.1%
2024-04-18T03:24:02.813174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5080
44.0%
1 1679
 
14.5%
- 1575
 
13.6%
2 1149
 
9.9%
3 654
 
5.7%
5 637
 
5.5%
9 290
 
2.5%
4 143
 
1.2%
8 136
 
1.2%
6 105
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9975
86.4%
Dash Punctuation 1575
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5080
50.9%
1 1679
 
16.8%
2 1149
 
11.5%
3 654
 
6.6%
5 637
 
6.4%
9 290
 
2.9%
4 143
 
1.4%
8 136
 
1.4%
6 105
 
1.1%
7 102
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5080
44.0%
1 1679
 
14.5%
- 1575
 
13.6%
2 1149
 
9.9%
3 654
 
5.7%
5 637
 
5.5%
9 290
 
2.5%
4 143
 
1.2%
8 136
 
1.2%
6 105
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5080
44.0%
1 1679
 
14.5%
- 1575
 
13.6%
2 1149
 
9.9%
3 654
 
5.7%
5 637
 
5.5%
9 290
 
2.5%
4 143
 
1.2%
8 136
 
1.2%
6 105
 
0.9%
Distinct488
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1974-10-01 00:00:00
Maximum2024-04-15 00:00:00
2024-04-18T03:24:02.920039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:24:03.018959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
309 
3
216 

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 (%)
1 309
58.9%
3 216
41.1%

Length

2024-04-18T03:24:03.115210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:03.188996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 309
58.9%
3 216
41.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업/정상
309 
폐업
216 

Length

Max length5
Median length5
Mean length3.7657143
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 309
58.9%
폐업 216
41.1%

Length

2024-04-18T03:24:03.266463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:03.339571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 309
58.9%
폐업 216
41.1%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
309 
2
216 

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 (%)
1 309
58.9%
2 216
41.1%

Length

2024-04-18T03:24:03.413280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:03.697872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 309
58.9%
2 216
41.1%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업
309 
폐업
216 

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 309
58.9%
폐업 216
41.1%

Length

2024-04-18T03:24:03.768488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:03.839506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 309
58.9%
폐업 216
41.1%

폐업일자
Date

MISSING 

Distinct197
Distinct (%)91.2%
Missing309
Missing (%)58.9%
Memory size4.2 KiB
Minimum1993-05-07 00:00:00
Maximum2024-03-22 00:00:00
2024-04-18T03:24:03.922039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:24:04.021900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

전화번호
Text

MISSING 

Distinct417
Distinct (%)95.2%
Missing87
Missing (%)16.6%
Memory size4.2 KiB
2024-04-18T03:24:04.237137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.394977
Min length2

Characters and Unicode

Total characters4553
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

Unique404 ?
Unique (%)92.2%

Sample

1st row02 5832620
2nd row02 5708144
3rd row02 5232253
4th row0234600281
5th row02 5901114
ValueCountFrequency (%)
02 311
38.0%
070 5
 
0.6%
5220290 4
 
0.5%
536 4
 
0.5%
577 4
 
0.5%
571 3
 
0.4%
523 3
 
0.4%
532 3
 
0.4%
5336673 3
 
0.4%
570 3
 
0.4%
Other values (459) 476
58.1%
2024-04-18T03:24:04.570049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 805
17.7%
2 742
16.3%
5 516
11.3%
515
11.3%
3 345
7.6%
1 330
7.2%
7 289
 
6.3%
4 287
 
6.3%
9 248
 
5.4%
8 245
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4038
88.7%
Space Separator 515
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 805
19.9%
2 742
18.4%
5 516
12.8%
3 345
8.5%
1 330
8.2%
7 289
 
7.2%
4 287
 
7.1%
9 248
 
6.1%
8 245
 
6.1%
6 231
 
5.7%
Space Separator
ValueCountFrequency (%)
515
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4553
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 805
17.7%
2 742
16.3%
5 516
11.3%
515
11.3%
3 345
7.6%
1 330
7.2%
7 289
 
6.3%
4 287
 
6.3%
9 248
 
5.4%
8 245
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 805
17.7%
2 742
16.3%
5 516
11.3%
515
11.3%
3 345
7.6%
1 330
7.2%
7 289
 
6.3%
4 287
 
6.3%
9 248
 
5.4%
8 245
 
5.4%

소재지면적
Text

MISSING 

Distinct336
Distinct (%)66.7%
Missing21
Missing (%)4.0%
Memory size4.2 KiB
2024-04-18T03:24:04.818968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.1428571
Min length3

Characters and Unicode

Total characters2592
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

Unique289 ?
Unique (%)57.3%

Sample

1st row.00
2nd row387.00
3rd row811.00
4th row343.80
5th row608.80
ValueCountFrequency (%)
00 103
 
20.4%
0.00 8
 
1.6%
132.00 6
 
1.2%
33.00 4
 
0.8%
13.50 3
 
0.6%
165.00 3
 
0.6%
110.40 3
 
0.6%
330.00 3
 
0.6%
12.00 3
 
0.6%
16.50 3
 
0.6%
Other values (326) 365
72.4%
2024-04-18T03:24:05.150006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 685
26.4%
. 504
19.4%
1 222
 
8.6%
3 197
 
7.6%
2 191
 
7.4%
4 155
 
6.0%
6 149
 
5.7%
5 145
 
5.6%
8 113
 
4.4%
7 109
 
4.2%
Other values (2) 122
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2071
79.9%
Other Punctuation 521
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 685
33.1%
1 222
 
10.7%
3 197
 
9.5%
2 191
 
9.2%
4 155
 
7.5%
6 149
 
7.2%
5 145
 
7.0%
8 113
 
5.5%
7 109
 
5.3%
9 105
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 504
96.7%
, 17
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2592
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 685
26.4%
. 504
19.4%
1 222
 
8.6%
3 197
 
7.6%
2 191
 
7.4%
4 155
 
6.0%
6 149
 
5.7%
5 145
 
5.6%
8 113
 
4.4%
7 109
 
4.2%
Other values (2) 122
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 685
26.4%
. 504
19.4%
1 222
 
8.6%
3 197
 
7.6%
2 191
 
7.4%
4 155
 
6.0%
6 149
 
5.7%
5 145
 
5.6%
8 113
 
4.4%
7 109
 
4.2%
Other values (2) 122
 
4.7%
Distinct151
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T03:24:05.415583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.12
Min length6

Characters and Unicode

Total characters3213
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

Unique50 ?
Unique (%)9.5%

Sample

1st row137868
2nd row137180
3rd row137070
4th row137900
5th row137807
ValueCountFrequency (%)
137070 14
 
2.7%
137180 14
 
2.7%
137851 12
 
2.3%
137900 11
 
2.1%
137802 11
 
2.1%
137800 11
 
2.1%
137907 10
 
1.9%
137170 10
 
1.9%
137040 10
 
1.9%
137857 9
 
1.7%
Other values (141) 413
78.7%
2024-04-18T03:24:05.736894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 662
20.6%
7 661
20.6%
3 615
19.1%
8 461
14.3%
0 288
9.0%
9 147
 
4.6%
6 92
 
2.9%
4 81
 
2.5%
5 77
 
2.4%
2 66
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3150
98.0%
Dash Punctuation 63
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 662
21.0%
7 661
21.0%
3 615
19.5%
8 461
14.6%
0 288
9.1%
9 147
 
4.7%
6 92
 
2.9%
4 81
 
2.6%
5 77
 
2.4%
2 66
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 662
20.6%
7 661
20.6%
3 615
19.1%
8 461
14.3%
0 288
9.0%
9 147
 
4.6%
6 92
 
2.9%
4 81
 
2.5%
5 77
 
2.4%
2 66
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 662
20.6%
7 661
20.6%
3 615
19.1%
8 461
14.3%
0 288
9.0%
9 147
 
4.6%
6 92
 
2.9%
4 81
 
2.5%
5 77
 
2.4%
2 66
 
2.1%
Distinct506
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T03:24:05.996025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length26.459048
Min length17

Characters and Unicode

Total characters13891
Distinct characters253
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

Unique489 ?
Unique (%)93.1%

Sample

1st row서울특별시 서초구 서초동 1470-1번지 (주)우리은행 서초동합숙소
2nd row서울특별시 서초구 내곡동 6-7번지 외 9필지
3rd row서울특별시 서초구 서초동 391-0 서울시인재개발원 1층
4th row서울특별시 서초구 우면동 92-6번지 1층
5th row서울특별시 서초구 반포동 505-0번지
ValueCountFrequency (%)
서울특별시 525
19.9%
서초구 525
19.9%
서초동 175
 
6.6%
방배동 103
 
3.9%
반포동 81
 
3.1%
1층 72
 
2.7%
지하1층 69
 
2.6%
양재동 62
 
2.3%
잠원동 39
 
1.5%
우면동 31
 
1.2%
Other values (690) 959
36.3%
2024-04-18T03:24:06.349357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2540
18.3%
1270
 
9.1%
731
 
5.3%
1 716
 
5.2%
576
 
4.1%
538
 
3.9%
532
 
3.8%
531
 
3.8%
528
 
3.8%
525
 
3.8%
Other values (243) 5404
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8112
58.4%
Decimal Number 2659
 
19.1%
Space Separator 2540
 
18.3%
Dash Punctuation 421
 
3.0%
Open Punctuation 47
 
0.3%
Close Punctuation 47
 
0.3%
Uppercase Letter 32
 
0.2%
Other Punctuation 30
 
0.2%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1270
15.7%
731
 
9.0%
576
 
7.1%
538
 
6.6%
532
 
6.6%
531
 
6.5%
528
 
6.5%
525
 
6.5%
485
 
6.0%
345
 
4.3%
Other values (210) 2051
25.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
15.6%
B 5
15.6%
A 3
9.4%
H 3
9.4%
T 3
9.4%
K 3
9.4%
R 2
 
6.2%
N 2
 
6.2%
D 1
 
3.1%
P 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 716
26.9%
0 323
12.1%
2 312
11.7%
3 269
 
10.1%
4 224
 
8.4%
5 203
 
7.6%
6 196
 
7.4%
7 175
 
6.6%
8 148
 
5.6%
9 93
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 28
93.3%
& 1
 
3.3%
. 1
 
3.3%
Space Separator
ValueCountFrequency (%)
2540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8112
58.4%
Common 5746
41.4%
Latin 33
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1270
15.7%
731
 
9.0%
576
 
7.1%
538
 
6.6%
532
 
6.6%
531
 
6.5%
528
 
6.5%
525
 
6.5%
485
 
6.0%
345
 
4.3%
Other values (210) 2051
25.3%
Common
ValueCountFrequency (%)
2540
44.2%
1 716
 
12.5%
- 421
 
7.3%
0 323
 
5.6%
2 312
 
5.4%
3 269
 
4.7%
4 224
 
3.9%
5 203
 
3.5%
6 196
 
3.4%
7 175
 
3.0%
Other values (8) 367
 
6.4%
Latin
ValueCountFrequency (%)
C 5
15.2%
B 5
15.2%
A 3
9.1%
H 3
9.1%
T 3
9.1%
K 3
9.1%
R 2
 
6.1%
N 2
 
6.1%
D 1
 
3.0%
a 1
 
3.0%
Other values (5) 5
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8112
58.4%
ASCII 5779
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2540
44.0%
1 716
 
12.4%
- 421
 
7.3%
0 323
 
5.6%
2 312
 
5.4%
3 269
 
4.7%
4 224
 
3.9%
5 203
 
3.5%
6 196
 
3.4%
7 175
 
3.0%
Other values (23) 400
 
6.9%
Hangul
ValueCountFrequency (%)
1270
15.7%
731
 
9.0%
576
 
7.1%
538
 
6.6%
532
 
6.6%
531
 
6.5%
528
 
6.5%
525
 
6.5%
485
 
6.0%
345
 
4.3%
Other values (210) 2051
25.3%

도로명주소
Text

MISSING 

Distinct417
Distinct (%)95.6%
Missing89
Missing (%)17.0%
Memory size4.2 KiB
2024-04-18T03:24:06.590748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length31.334862
Min length21

Characters and Unicode

Total characters13662
Distinct characters271
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

Unique401 ?
Unique (%)92.0%

Sample

1st row서울특별시 서초구 남부순환로315길 46 (주)우리은행 서초동합숙소 (서초동)
2nd row서울특별시 서초구 헌릉로 260 (내곡동)
3rd row서울특별시 서초구 남부순환로340길 58, 1층 (서초동, 서울시인재개발원 )
4th row서울특별시 서초구 바우뫼로1길 35, 1층 (우면동)
5th row서울특별시 서초구 사평대로 160 (반포동)
ValueCountFrequency (%)
서울특별시 436
 
16.5%
서초구 436
 
16.5%
서초동 128
 
4.9%
방배동 74
 
2.8%
1층 66
 
2.5%
반포동 53
 
2.0%
지하1층 52
 
2.0%
양재동 42
 
1.6%
우면동 27
 
1.0%
잠원동 25
 
0.9%
Other values (624) 1299
49.2%
2024-04-18T03:24:06.940723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2203
 
16.1%
1149
 
8.4%
682
 
5.0%
491
 
3.6%
1 468
 
3.4%
( 456
 
3.3%
) 456
 
3.3%
450
 
3.3%
443
 
3.2%
442
 
3.2%
Other values (261) 6422
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8235
60.3%
Space Separator 2203
 
16.1%
Decimal Number 1828
 
13.4%
Open Punctuation 456
 
3.3%
Close Punctuation 456
 
3.3%
Other Punctuation 392
 
2.9%
Dash Punctuation 55
 
0.4%
Uppercase Letter 34
 
0.2%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1149
 
14.0%
682
 
8.3%
491
 
6.0%
450
 
5.5%
443
 
5.4%
442
 
5.4%
438
 
5.3%
436
 
5.3%
415
 
5.0%
258
 
3.1%
Other values (226) 3031
36.8%
Uppercase Letter
ValueCountFrequency (%)
C 4
11.8%
A 3
8.8%
R 3
8.8%
T 3
8.8%
B 3
8.8%
H 3
8.8%
L 2
 
5.9%
J 2
 
5.9%
D 2
 
5.9%
K 2
 
5.9%
Other values (6) 7
20.6%
Decimal Number
ValueCountFrequency (%)
1 468
25.6%
2 285
15.6%
3 216
11.8%
5 157
 
8.6%
4 150
 
8.2%
7 133
 
7.3%
6 127
 
6.9%
0 119
 
6.5%
8 91
 
5.0%
9 82
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 389
99.2%
& 2
 
0.5%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 456
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8235
60.3%
Common 5392
39.5%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1149
 
14.0%
682
 
8.3%
491
 
6.0%
450
 
5.5%
443
 
5.4%
442
 
5.4%
438
 
5.3%
436
 
5.3%
415
 
5.0%
258
 
3.1%
Other values (226) 3031
36.8%
Common
ValueCountFrequency (%)
2203
40.9%
1 468
 
8.7%
( 456
 
8.5%
) 456
 
8.5%
, 389
 
7.2%
2 285
 
5.3%
3 216
 
4.0%
5 157
 
2.9%
4 150
 
2.8%
7 133
 
2.5%
Other values (8) 479
 
8.9%
Latin
ValueCountFrequency (%)
C 4
11.4%
A 3
 
8.6%
R 3
 
8.6%
T 3
 
8.6%
B 3
 
8.6%
H 3
 
8.6%
L 2
 
5.7%
J 2
 
5.7%
D 2
 
5.7%
K 2
 
5.7%
Other values (7) 8
22.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8235
60.3%
ASCII 5427
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2203
40.6%
1 468
 
8.6%
( 456
 
8.4%
) 456
 
8.4%
, 389
 
7.2%
2 285
 
5.3%
3 216
 
4.0%
5 157
 
2.9%
4 150
 
2.8%
7 133
 
2.5%
Other values (25) 514
 
9.5%
Hangul
ValueCountFrequency (%)
1149
 
14.0%
682
 
8.3%
491
 
6.0%
450
 
5.5%
443
 
5.4%
442
 
5.4%
438
 
5.3%
436
 
5.3%
415
 
5.0%
258
 
3.1%
Other values (226) 3031
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct185
Distinct (%)42.7%
Missing92
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean6665.3256
Minimum6502
Maximum6802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T03:24:07.050909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6502
5-th percentile6516.6
Q16593
median6667
Q36756
95-th percentile6793.4
Maximum6802
Range300
Interquartile range (IQR)163

Descriptive statistics

Standard deviation91.070194
Coefficient of variation (CV)0.013663278
Kurtosis-1.2681169
Mean6665.3256
Median Absolute Deviation (MAD)83
Skewness-0.14931533
Sum2886086
Variance8293.7803
MonotonicityNot monotonic
2024-04-18T03:24:07.162313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6593 14
 
2.7%
6762 8
 
1.5%
6725 7
 
1.3%
6765 7
 
1.3%
6780 6
 
1.1%
6504 6
 
1.1%
6761 6
 
1.1%
6792 6
 
1.1%
6654 5
 
1.0%
6800 5
 
1.0%
Other values (175) 363
69.1%
(Missing) 92
 
17.5%
ValueCountFrequency (%)
6502 2
 
0.4%
6503 2
 
0.4%
6504 6
1.1%
6505 2
 
0.4%
6506 1
 
0.2%
6508 1
 
0.2%
6509 3
0.6%
6511 2
 
0.4%
6514 1
 
0.2%
6516 2
 
0.4%
ValueCountFrequency (%)
6802 4
0.8%
6801 3
0.6%
6800 5
1.0%
6799 1
 
0.2%
6798 2
 
0.4%
6797 2
 
0.4%
6796 2
 
0.4%
6795 1
 
0.2%
6794 2
 
0.4%
6793 5
1.0%
Distinct496
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T03:24:07.326049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length9.4438095
Min length3

Characters and Unicode

Total characters4958
Distinct characters408
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

Unique470 ?
Unique (%)89.5%

Sample

1st row우리은행제1합숙소
2nd row서울특별시 어린이병원
3rd row서울특별시 인재개발원
4th row한국교육개발원
5th row카톨릭대학교강남성모병원
ValueCountFrequency (%)
서초구립 43
 
5.9%
어린이집 35
 
4.8%
주식회사 14
 
1.9%
구내식당 7
 
1.0%
직원식당 7
 
1.0%
잠원어린이집 3
 
0.4%
lg전자 3
 
0.4%
서초 3
 
0.4%
세바른병원 3
 
0.4%
의료법인 3
 
0.4%
Other values (553) 602
83.3%
2024-04-18T03:24:07.603513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
4.4%
205
 
4.1%
198
 
4.0%
175
 
3.5%
154
 
3.1%
153
 
3.1%
150
 
3.0%
148
 
3.0%
( 113
 
2.3%
) 113
 
2.3%
Other values (398) 3329
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4427
89.3%
Space Separator 198
 
4.0%
Open Punctuation 113
 
2.3%
Close Punctuation 113
 
2.3%
Uppercase Letter 47
 
0.9%
Decimal Number 43
 
0.9%
Lowercase Letter 11
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
220
 
5.0%
205
 
4.6%
175
 
4.0%
154
 
3.5%
153
 
3.5%
150
 
3.4%
148
 
3.3%
113
 
2.6%
102
 
2.3%
101
 
2.3%
Other values (363) 2906
65.6%
Uppercase Letter
ValueCountFrequency (%)
K 6
12.8%
D 5
10.6%
T 5
10.6%
R 4
8.5%
J 4
8.5%
L 4
8.5%
C 4
8.5%
G 3
6.4%
W 3
6.4%
S 3
6.4%
Other values (3) 6
12.8%
Decimal Number
ValueCountFrequency (%)
1 12
27.9%
2 10
23.3%
3 7
16.3%
4 4
 
9.3%
5 3
 
7.0%
6 3
 
7.0%
7 2
 
4.7%
0 1
 
2.3%
8 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
27.3%
e 3
27.3%
m 1
 
9.1%
c 1
 
9.1%
f 1
 
9.1%
n 1
 
9.1%
o 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
? 1
 
16.7%
, 1
 
16.7%
Space Separator
ValueCountFrequency (%)
198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4427
89.3%
Common 473
 
9.5%
Latin 58
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
220
 
5.0%
205
 
4.6%
175
 
4.0%
154
 
3.5%
153
 
3.5%
150
 
3.4%
148
 
3.3%
113
 
2.6%
102
 
2.3%
101
 
2.3%
Other values (363) 2906
65.6%
Latin
ValueCountFrequency (%)
K 6
 
10.3%
D 5
 
8.6%
T 5
 
8.6%
R 4
 
6.9%
J 4
 
6.9%
L 4
 
6.9%
C 4
 
6.9%
G 3
 
5.2%
W 3
 
5.2%
a 3
 
5.2%
Other values (10) 17
29.3%
Common
ValueCountFrequency (%)
198
41.9%
( 113
23.9%
) 113
23.9%
1 12
 
2.5%
2 10
 
2.1%
3 7
 
1.5%
4 4
 
0.8%
& 4
 
0.8%
5 3
 
0.6%
6 3
 
0.6%
Other values (5) 6
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4427
89.3%
ASCII 531
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
220
 
5.0%
205
 
4.6%
175
 
4.0%
154
 
3.5%
153
 
3.5%
150
 
3.4%
148
 
3.3%
113
 
2.6%
102
 
2.3%
101
 
2.3%
Other values (363) 2906
65.6%
ASCII
ValueCountFrequency (%)
198
37.3%
( 113
21.3%
) 113
21.3%
1 12
 
2.3%
2 10
 
1.9%
3 7
 
1.3%
K 6
 
1.1%
D 5
 
0.9%
T 5
 
0.9%
4 4
 
0.8%
Other values (25) 58
 
10.9%
Distinct509
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1999-02-06 00:00:00
Maximum2024-04-15 16:14:31
2024-04-18T03:24:07.705028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:24:07.808912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
U
285 
I
240 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 285
54.3%
I 240
45.7%

Length

2024-04-18T03:24:07.907992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:07.978736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 285
54.3%
i 240
45.7%
Distinct220
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-18T03:24:08.058425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:24:08.158588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct10
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
어린이집
146 
집단급식소
125 
산업체
85 
학교
50 
공공기관
32 
Other values (5)
87 

Length

Max length8
Median length6
Mean length4.0057143
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row산업체
2nd row병원
3rd row공공기관
4th row공공기관
5th row집단급식소

Common Values

ValueCountFrequency (%)
어린이집 146
27.8%
집단급식소 125
23.8%
산업체 85
16.2%
학교 50
 
9.5%
공공기관 32
 
6.1%
병원 31
 
5.9%
기타 집단급식소 29
 
5.5%
수련원 14
 
2.7%
사회복지시설 12
 
2.3%
기숙사 1
 
0.2%

Length

2024-04-18T03:24:08.258848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:08.350271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 154
27.8%
어린이집 146
26.4%
산업체 85
15.3%
학교 50
 
9.0%
공공기관 32
 
5.8%
병원 31
 
5.6%
기타 29
 
5.2%
수련원 14
 
2.5%
사회복지시설 12
 
2.2%
기숙사 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct382
Distinct (%)74.3%
Missing11
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean201340.25
Minimum198407.57
Maximum208072.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T03:24:08.456481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198407.57
5-th percentile198752.99
Q1200001.27
median201287.09
Q3202257.51
95-th percentile204342.1
Maximum208072.63
Range9665.0568
Interquartile range (IQR)2256.2463

Descriptive statistics

Standard deviation1743.5057
Coefficient of variation (CV)0.0086594991
Kurtosis0.63035518
Mean201340.25
Median Absolute Deviation (MAD)1090.4459
Skewness0.6387951
Sum1.0348889 × 108
Variance3039812.2
MonotonicityNot monotonic
2024-04-18T03:24:08.567369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201643.645893671 7
 
1.3%
199356.275577675 5
 
1.0%
199929.045690164 5
 
1.0%
200931.030899497 4
 
0.8%
200828.122824103 4
 
0.8%
204192.004993904 4
 
0.8%
201278.647889967 4
 
0.8%
199250.378045845 4
 
0.8%
201621.441195967 4
 
0.8%
200394.225955905 4
 
0.8%
Other values (372) 469
89.3%
(Missing) 11
 
2.1%
ValueCountFrequency (%)
198407.569086863 3
0.6%
198443.274372584 1
 
0.2%
198454.941457159 1
 
0.2%
198506.458385404 1
 
0.2%
198506.646654889 1
 
0.2%
198533.665294785 1
 
0.2%
198534.748228783 1
 
0.2%
198543.89871364 2
0.4%
198554.622804054 2
0.4%
198569.723966274 1
 
0.2%
ValueCountFrequency (%)
208072.625904312 2
0.4%
207505.865571 1
0.2%
206527.143128753 1
0.2%
206161.18618356 2
0.4%
206131.241466 1
0.2%
205718.516161273 2
0.4%
205651.067461672 1
0.2%
205634.311119598 1
0.2%
205551.413292255 1
0.2%
205525.422778498 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct382
Distinct (%)74.3%
Missing11
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean442662.41
Minimum438403.43
Maximum446482.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T03:24:08.678334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438403.43
5-th percentile439872.49
Q1441546.89
median442618.97
Q3443937.19
95-th percentile445305.4
Maximum446482.72
Range8079.284
Interquartile range (IQR)2390.3026

Descriptive statistics

Standard deviation1690.5405
Coefficient of variation (CV)0.0038190288
Kurtosis-0.55519417
Mean442662.41
Median Absolute Deviation (MAD)1242.4115
Skewness-0.15593363
Sum2.2752848 × 108
Variance2857927
MonotonicityNot monotonic
2024-04-18T03:24:08.784863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445764.161880369 7
 
1.3%
441326.193173286 5
 
1.0%
441805.098260027 5
 
1.0%
444209.998155051 4
 
0.8%
445167.786945639 4
 
0.8%
441103.764787437 4
 
0.8%
442099.753091778 4
 
0.8%
442973.400332687 4
 
0.8%
442661.56881241 4
 
0.8%
444207.694481581 4
 
0.8%
Other values (372) 469
89.3%
(Missing) 11
 
2.1%
ValueCountFrequency (%)
438403.433558867 1
0.2%
438520.182013694 1
0.2%
438521.810569305 1
0.2%
438685.126668674 1
0.2%
438769.485852873 1
0.2%
438932.382549048 1
0.2%
439002.476935458 2
0.4%
439071.639861981 1
0.2%
439176.590519177 1
0.2%
439194.310938805 1
0.2%
ValueCountFrequency (%)
446482.717573109 1
 
0.2%
446268.294338007 1
 
0.2%
446102.588876 1
 
0.2%
446079.302435952 1
 
0.2%
446012.113480309 1
 
0.2%
445971.21278915 1
 
0.2%
445847.385086678 2
 
0.4%
445806.025611584 1
 
0.2%
445764.161880369 7
1.3%
445726.033883873 1
 
0.2%

위생업태명
Categorical

Distinct11
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
어린이집
128 
집단급식소
125 
<NA>
89 
산업체
52 
학교
45 
Other values (6)
86 

Length

Max length8
Median length6
Mean length4.0247619
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row산업체
2nd row병원
3rd row공공기관
4th row공공기관
5th row집단급식소

Common Values

ValueCountFrequency (%)
어린이집 128
24.4%
집단급식소 125
23.8%
<NA> 89
17.0%
산업체 52
9.9%
학교 45
 
8.6%
공공기관 25
 
4.8%
병원 23
 
4.4%
기타 집단급식소 18
 
3.4%
수련원 11
 
2.1%
사회복지시설 8
 
1.5%

Length

2024-04-18T03:24:08.890209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
집단급식소 143
26.3%
어린이집 128
23.6%
na 89
16.4%
산업체 52
 
9.6%
학교 45
 
8.3%
공공기관 25
 
4.6%
병원 23
 
4.2%
기타 18
 
3.3%
수련원 11
 
2.0%
사회복지시설 8
 
1.5%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
394 
0
131 

Length

Max length4
Median length4
Mean length3.2514286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 394
75.0%
0 131
 
25.0%

Length

2024-04-18T03:24:08.980830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:09.052862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 394
75.0%
0 131
 
25.0%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
394 
0
131 

Length

Max length4
Median length4
Mean length3.2514286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 394
75.0%
0 131
 
25.0%

Length

2024-04-18T03:24:09.126735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:09.198098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 394
75.0%
0 131
 
25.0%

영업장주변구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
406 
기타
118 
주택가주변
 
1

Length

Max length5
Median length4
Mean length3.552381
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 406
77.3%
기타 118
 
22.5%
주택가주변 1
 
0.2%

Length

2024-04-18T03:24:09.273267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:09.356988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 406
77.3%
기타 118
 
22.5%
주택가주변 1
 
0.2%

등급구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
406 
기타
119 

Length

Max length4
Median length4
Mean length3.5466667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 406
77.3%
기타 119
 
22.7%

Length

2024-04-18T03:24:09.687669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:09.761272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 406
77.3%
기타 119
 
22.7%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
362 
상수도전용
163 

Length

Max length5
Median length4
Mean length4.3104762
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 362
69.0%
상수도전용 163
31.0%

Length

2024-04-18T03:24:09.836284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:09.907508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 362
69.0%
상수도전용 163
31.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
497 
0
 
28

Length

Max length4
Median length4
Mean length3.84
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> 497
94.7%
0 28
 
5.3%

Length

2024-04-18T03:24:09.985263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:10.060276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 497
94.7%
0 28
 
5.3%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)4.6%
Missing200
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean1.96
Minimum0
Maximum98
Zeros167
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T03:24:10.128990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum98
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.9526112
Coefficient of variation (CV)3.0370465
Kurtosis210.35458
Mean1.96
Median Absolute Deviation (MAD)0
Skewness13.211592
Sum637
Variance35.43358
MonotonicityNot monotonic
2024-04-18T03:24:10.212198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 167
31.8%
1 45
 
8.6%
2 35
 
6.7%
3 21
 
4.0%
4 17
 
3.2%
5 10
 
1.9%
7 7
 
1.3%
6 7
 
1.3%
8 4
 
0.8%
10 4
 
0.8%
Other values (5) 8
 
1.5%
(Missing) 200
38.1%
ValueCountFrequency (%)
0 167
31.8%
1 45
 
8.6%
2 35
 
6.7%
3 21
 
4.0%
4 17
 
3.2%
5 10
 
1.9%
6 7
 
1.3%
7 7
 
1.3%
8 4
 
0.8%
9 3
 
0.6%
ValueCountFrequency (%)
98 1
 
0.2%
18 1
 
0.2%
13 1
 
0.2%
11 2
 
0.4%
10 4
 
0.8%
9 3
 
0.6%
8 4
 
0.8%
7 7
1.3%
6 7
1.3%
5 10
1.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
497 
0
 
28

Length

Max length4
Median length4
Mean length3.84
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> 497
94.7%
0 28
 
5.3%

Length

2024-04-18T03:24:10.304758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:10.380942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 497
94.7%
0 28
 
5.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
497 
0
 
28

Length

Max length4
Median length4
Mean length3.84
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> 497
94.7%
0 28
 
5.3%

Length

2024-04-18T03:24:10.474844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:10.549716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 497
94.7%
0 28
 
5.3%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
497 
0
 
28

Length

Max length4
Median length4
Mean length3.84
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> 497
94.7%
0 28
 
5.3%

Length

2024-04-18T03:24:10.627508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:10.699631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 497
94.7%
0 28
 
5.3%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
470 
자가
 
33
임대
 
22

Length

Max length4
Median length4
Mean length3.7904762
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> 470
89.5%
자가 33
 
6.3%
임대 22
 
4.2%

Length

2024-04-18T03:24:10.777038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:10.853465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 470
89.5%
자가 33
 
6.3%
임대 22
 
4.2%

보증액
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
283 
0
242 

Length

Max length4
Median length4
Mean length2.6171429
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> 283
53.9%
0 242
46.1%

Length

2024-04-18T03:24:10.935747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:11.008899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
53.9%
0 242
46.1%

월세액
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
283 
0
241 
2970000
 
1

Length

Max length7
Median length4
Mean length2.6285714
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 283
53.9%
0 241
45.9%
2970000 1
 
0.2%

Length

2024-04-18T03:24:11.088861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:24:11.165280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 283
53.9%
0 241
45.9%
2970000 1
 
0.2%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.5%
Missing89
Missing (%)17.0%
Memory size1.2 KiB
False
426 
True
 
10
(Missing)
89 
ValueCountFrequency (%)
False 426
81.1%
True 10
 
1.9%
(Missing) 89
 
17.0%
2024-04-18T03:24:11.232174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct197
Distinct (%)45.2%
Missing89
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean150.7275
Minimum0
Maximum4711
Zeros204
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T03:24:11.312943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.9
Q3157.2225
95-th percentile633.2725
Maximum4711
Range4711
Interquartile range (IQR)157.2225

Descriptive statistics

Standard deviation407.03055
Coefficient of variation (CV)2.7004399
Kurtosis68.422363
Mean150.7275
Median Absolute Deviation (MAD)9.9
Skewness7.1233374
Sum65717.19
Variance165673.87
MonotonicityNot monotonic
2024-04-18T03:24:11.415693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 204
38.9%
16.5 5
 
1.0%
9.9 5
 
1.0%
82.5 4
 
0.8%
19.8 4
 
0.8%
20.0 3
 
0.6%
10.0 3
 
0.6%
13.2 3
 
0.6%
33.0 3
 
0.6%
13.5 3
 
0.6%
Other values (187) 199
37.9%
(Missing) 89
17.0%
ValueCountFrequency (%)
0.0 204
38.9%
1.0 2
 
0.4%
4.0 1
 
0.2%
5.67 1
 
0.2%
5.71 1
 
0.2%
6.6 2
 
0.4%
7.0 2
 
0.4%
8.71 1
 
0.2%
8.95 1
 
0.2%
9.34 1
 
0.2%
ValueCountFrequency (%)
4711.0 1
0.2%
4500.0 1
0.2%
2480.05 1
0.2%
1675.08 1
0.2%
1509.6 1
0.2%
1500.0 1
0.2%
1435.77 1
0.2%
1276.03 1
0.2%
1171.0 1
0.2%
1078.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032100003210000-105-1974-0000119741001<NA>1영업/정상1영업<NA><NA><NA><NA>02 5832620.00137868서울특별시 서초구 서초동 1470-1번지 (주)우리은행 서초동합숙소서울특별시 서초구 남부순환로315길 46 (주)우리은행 서초동합숙소 (서초동)6712우리은행제1합숙소2019-04-25 17:18:32U2019-04-27 02:40:00.0산업체200627.839859442069.716284산업체00기타기타상수도전용<NA>7<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
132100003210000-105-1978-0011419780501<NA>1영업/정상1영업<NA><NA><NA><NA>02 5708144387.00137180서울특별시 서초구 내곡동 6-7번지 외 9필지서울특별시 서초구 헌릉로 260 (내곡동)6801서울특별시 어린이병원2018-01-31 12:40:57I2018-08-31 23:59:59.0병원206131.241466439591.553188병원00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N184.8<NA><NA><NA>
232100003210000-105-1979-0000319790101<NA>1영업/정상1영업<NA><NA><NA><NA>02 5232253811.00137070서울특별시 서초구 서초동 391-0 서울시인재개발원 1층서울특별시 서초구 남부순환로340길 58, 1층 (서초동, 서울시인재개발원 )6756서울특별시 인재개발원2021-04-28 10:16:27U2021-04-30 02:40:00.0공공기관201754.046059442005.576286공공기관00기타기타상수도전용<NA>7<NA><NA><NA><NA><NA><NA>N811.0<NA><NA><NA>
332100003210000-105-1980-0006419800103<NA>3폐업2폐업20170227<NA><NA><NA>0234600281343.80137900서울특별시 서초구 우면동 92-6번지 1층서울특별시 서초구 바우뫼로1길 35, 1층 (우면동)6762한국교육개발원2016-02-15 17:11:26I2018-08-31 23:59:59.0공공기관201888.930996440969.279553공공기관00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N231.0<NA><NA><NA>
432100003210000-105-1980-0009219800503<NA>3폐업2폐업20090324<NA><NA><NA>02 5901114608.80137807서울특별시 서초구 반포동 505-0번지<NA><NA>카톨릭대학교강남성모병원2003-09-23 00:00:00I2018-08-31 23:59:59.0집단급식소200394.225956444207.694482집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N997.5<NA><NA><NA>
532100003210000-105-1981-0000219810901<NA>3폐업2폐업19990930<NA><NA><NA>02 2831004.00137867서울특별시 서초구 서초동 1465-4번지<NA><NA>(주)녹십자1999-09-30 00:00:00I2018-08-31 23:59:59.0집단급식소200937.473462442034.399742집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632100003210000-105-1982-0001819820630<NA>3폐업2폐업20210317<NA><NA><NA>0221866724.00137804서울특별시 서초구 반포동 63-1서울특별시 서초구 사평대로 160 (반포동)6578쉐라톤 서울 팔래스 강남 호텔 직원식당2021-03-17 09:21:58U2021-03-19 02:40:00.0산업체200148.908813444359.607819산업체00기타기타상수도전용<NA>7<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
732100003210000-105-1983-0008219830201<NA>3폐업2폐업20030117<NA><NA><NA>02 5833953156.00137868서울특별시 서초구 서초동 1468-1번지<NA><NA>삼성생활관2003-01-16 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N466.4<NA><NA><NA>
832100003210000-105-1984-0000419841105<NA>1영업/정상1영업<NA><NA><NA><NA>02 5908623.00137807서울특별시 서초구 반포동 520-3번지 0000동 0000호서울특별시 서초구 반포대로 217, 0000동 0000호 (반포동)6578조달청후생관2017-07-10 10:14:06I2018-08-31 23:59:59.0공공기관200194.426588444128.805256공공기관00기타기타상수도전용<NA>5<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932100003210000-105-1985-0001919850215<NA>1영업/정상1영업<NA><NA><NA><NA>02 34815633144.20137908서울특별시 서초구 잠원동 70-2 (지하 2층)서울특별시 서초구 잠원로 51 (잠원동)6511뉴코아2022-11-10 15:20:39U2021-10-31 23:02:00.0산업체200576.608648445241.898418<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
51532100003210000-105-2022-0001120221103<NA>1영업/정상1영업<NA><NA><NA><NA><NA>147.12137170서울특별시 서초구 염곡동 180-2 내곡동종합시설서울특별시 서초구 염곡말길 9, 내곡동종합시설 지하1층 (염곡동)6793사회복지법인 온누리복지재단(서초50플러스센터)2022-11-03 13:55:36I2021-11-01 00:05:00.0사회복지시설204418.836684439958.443579<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51632100003210000-105-2023-000012023-01-03<NA>1영업/정상1영업<NA><NA><NA><NA>07077272520277.50137-856서울특별시 서초구 서초동 1310-10 사랑의교회 복리시설서울특별시 서초구 강남대로65길 19, 사랑의교회 복리시설 1층 (서초동)6613사랑의복지관2023-05-03 13:59:52U2022-12-05 00:05:00.0사회복지시설202051.690426444184.313304<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51732100003210000-105-2023-000022023-02-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>207.00137-909서울특별시 서초구 잠원동 74-1 반포르엘서울특별시 서초구 신반포로23길 23, 1층 (잠원동, 반포르엘)6509서초구립 반포르엘어린이집2023-02-09 13:34:23I2022-12-01 23:01:00.0어린이집200194.855457445018.303593<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51832100003210000-105-2023-000032023-07-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.00137-841서울특별시 서초구 방배동 893-6 유노피스 빌딩서울특별시 서초구 서초대로34길 18, 1층 (방배동)6661서리풀데이케어2023-07-17 12:01:58I2022-12-06 23:09:00.0기타 집단급식소199763.149483442915.645822<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
51932100003210000-105-2023-000042023-08-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>272.93137-863서울특별시 서초구 서초동 1365-8서울특별시 서초구 남부순환로 2567, 22층 (서초동)6734당당(코네스트)2023-08-25 14:28:51I2022-12-07 22:07:00.0기타 집단급식소202677.564388442497.656361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52032100003210000-105-2024-000012024-01-03<NA>1영업/정상1영업<NA><NA><NA><NA>021644387853.98137-844서울특별시 서초구 방배동 936-12 4층서울특별시 서초구 방배로 151, 4층 (방배동)6672척바른병원2024-01-03 10:33:38I2023-12-01 00:05:00.0병원199360.582882442777.806242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52132100003210000-105-2024-000022024-01-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 5859600540.00137-881서울특별시 서초구 서초동 1657-7 대성학원 지하1층서울특별시 서초구 서초대로52길 28, 대성학원 지하1층 (서초동)6634역삼대성학원2024-01-04 09:47:49I2023-12-01 00:06:00.0기타 집단급식소201209.167738443372.88496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52232100003210000-105-2024-000032024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA>02 572 9309287.00137-841서울특별시 서초구 방배동 899-13서울특별시 서초구 방배로20길 25-19 (방배동)6664서초구립방배1동숲어린이집2024-03-13 15:22:06I2023-12-02 23:06:00.0사회복지시설199556.875658442733.714157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52332100003210000-105-2024-000042024-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.00137-880서울특별시 서초구 서초동 1646-5 1층서울특별시 서초구 사임당로23길 30, 1층 (서초동)6636키사서초어학학원2024-04-09 09:55:14U2023-12-03 23:01:00.0기타 집단급식소201778.490974443266.538883<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52432100003210000-105-2024-000052024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>510.15137-800서울특별시 서초구 반포동 1-1 래미안 원베일리서울특별시 서초구 반포대로 333 (반포동, 래미안 원베일리)6506서초구립 원베일리 나래 어린이집2024-04-15 14:24:54I2023-12-03 23:07:00.0어린이집199692.40938444953.682163<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>