Overview

Dataset statistics

Number of variables44
Number of observations785
Missing cells7930
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory287.6 KiB
Average record size in memory375.2 B

Variable types

Categorical19
Text7
DateTime4
Unsupported7
Numeric6
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18024/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (67.6%)Imbalance
등급구분명 is highly imbalanced (52.4%)Imbalance
총인원 is highly imbalanced (75.4%)Imbalance
공장사무직종업원수 is highly imbalanced (75.4%)Imbalance
공장판매직종업원수 is highly imbalanced (75.4%)Imbalance
공장생산직종업원수 is highly imbalanced (75.4%)Imbalance
건물소유구분명 is highly imbalanced (70.2%)Imbalance
인허가취소일자 has 785 (100.0%) missing valuesMissing
폐업일자 has 435 (55.4%) missing valuesMissing
휴업시작일자 has 785 (100.0%) missing valuesMissing
휴업종료일자 has 785 (100.0%) missing valuesMissing
재개업일자 has 785 (100.0%) missing valuesMissing
전화번호 has 141 (18.0%) missing valuesMissing
소재지면적 has 75 (9.6%) missing valuesMissing
도로명주소 has 163 (20.8%) missing valuesMissing
도로명우편번호 has 174 (22.2%) missing valuesMissing
좌표정보(X) has 23 (2.9%) missing valuesMissing
좌표정보(Y) has 23 (2.9%) missing valuesMissing
여성종사자수 has 593 (75.5%) missing valuesMissing
본사종업원수 has 470 (59.9%) missing valuesMissing
다중이용업소여부 has 166 (21.1%) missing valuesMissing
시설총규모 has 166 (21.1%) missing valuesMissing
전통업소지정번호 has 785 (100.0%) missing valuesMissing
전통업소주된음식 has 785 (100.0%) missing valuesMissing
홈페이지 has 785 (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
여성종사자수 has 186 (23.7%) zerosZeros
본사종업원수 has 291 (37.1%) zerosZeros
시설총규모 has 264 (33.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:33:44.592329
Analysis finished2024-04-29 19:33:45.905932
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
3220000
785 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 785
100.0%

Length

2024-04-30T04:33:45.967524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:46.042765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 785
100.0%

관리번호
Text

UNIQUE 

Distinct785
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-30T04:33:46.180744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters17270
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

Unique785 ?
Unique (%)100.0%

Sample

1st row3220000-105-1977-00029
2nd row3220000-105-1979-00012
3rd row3220000-105-1983-00200
4th row3220000-105-1984-00009
5th row3220000-105-1986-00005
ValueCountFrequency (%)
3220000-105-1977-00029 1
 
0.1%
3220000-105-2013-00003 1
 
0.1%
3220000-105-2013-00015 1
 
0.1%
3220000-105-2013-00006 1
 
0.1%
3220000-105-2013-00007 1
 
0.1%
3220000-105-2013-00008 1
 
0.1%
3220000-105-2013-00009 1
 
0.1%
3220000-105-2013-00010 1
 
0.1%
3220000-105-2013-00011 1
 
0.1%
3220000-105-2013-00012 1
 
0.1%
Other values (775) 775
98.7%
2024-04-30T04:33:46.450800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7453
43.2%
2 2590
 
15.0%
- 2355
 
13.6%
1 1717
 
9.9%
3 1015
 
5.9%
5 973
 
5.6%
9 497
 
2.9%
4 224
 
1.3%
8 171
 
1.0%
6 144
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14915
86.4%
Dash Punctuation 2355
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7453
50.0%
2 2590
 
17.4%
1 1717
 
11.5%
3 1015
 
6.8%
5 973
 
6.5%
9 497
 
3.3%
4 224
 
1.5%
8 171
 
1.1%
6 144
 
1.0%
7 131
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 2355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7453
43.2%
2 2590
 
15.0%
- 2355
 
13.6%
1 1717
 
9.9%
3 1015
 
5.9%
5 973
 
5.6%
9 497
 
2.9%
4 224
 
1.3%
8 171
 
1.0%
6 144
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7453
43.2%
2 2590
 
15.0%
- 2355
 
13.6%
1 1717
 
9.9%
3 1015
 
5.9%
5 973
 
5.6%
9 497
 
2.9%
4 224
 
1.3%
8 171
 
1.0%
6 144
 
0.8%
Distinct676
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum1979-07-30 00:00:00
Maximum2024-04-09 00:00:00
2024-04-30T04:33:46.586257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:46.709296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
435 
3
350 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 435
55.4%
3 350
44.6%

Length

2024-04-30T04:33:46.811566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:46.894709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 435
55.4%
3 350
44.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업/정상
435 
폐업
350 

Length

Max length5
Median length5
Mean length3.6624204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 435
55.4%
폐업 350
44.6%

Length

2024-04-30T04:33:46.985735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:47.071268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 435
55.4%
폐업 350
44.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
435 
2
350 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 435
55.4%
2 350
44.6%

Length

2024-04-30T04:33:47.161246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:47.245684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 435
55.4%
2 350
44.6%
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
영업
435 
폐업
350 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 435
55.4%
폐업 350
44.6%

Length

2024-04-30T04:33:47.325977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:47.405206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 435
55.4%
폐업 350
44.6%

폐업일자
Date

MISSING 

Distinct308
Distinct (%)88.0%
Missing435
Missing (%)55.4%
Memory size6.3 KiB
Minimum1994-06-30 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:33:47.508284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:47.631401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

전화번호
Text

MISSING 

Distinct614
Distinct (%)95.3%
Missing141
Missing (%)18.0%
Memory size6.3 KiB
2024-04-30T04:33:47.843441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.28882
Min length2

Characters and Unicode

Total characters6626
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

Unique595 ?
Unique (%)92.4%

Sample

1st row0234569086
2nd row02 5413207
3rd row34108495
4th row0205411541
5th row0205678055
ValueCountFrequency (%)
02 382
33.7%
451 9
 
0.8%
070 6
 
0.5%
556 5
 
0.4%
0509 4
 
0.4%
541 4
 
0.4%
445 4
 
0.4%
546 3
 
0.3%
576 3
 
0.3%
518 3
 
0.3%
Other values (661) 710
62.7%
2024-04-30T04:33:48.170696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1206
18.2%
2 1014
15.3%
711
10.7%
5 705
10.6%
1 591
8.9%
4 521
7.9%
3 480
 
7.2%
6 405
 
6.1%
7 394
 
5.9%
8 306
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5915
89.3%
Space Separator 711
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1206
20.4%
2 1014
17.1%
5 705
11.9%
1 591
10.0%
4 521
8.8%
3 480
 
8.1%
6 405
 
6.8%
7 394
 
6.7%
8 306
 
5.2%
9 293
 
5.0%
Space Separator
ValueCountFrequency (%)
711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6626
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1206
18.2%
2 1014
15.3%
711
10.7%
5 705
10.6%
1 591
8.9%
4 521
7.9%
3 480
 
7.2%
6 405
 
6.1%
7 394
 
5.9%
8 306
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1206
18.2%
2 1014
15.3%
711
10.7%
5 705
10.6%
1 591
8.9%
4 521
7.9%
3 480
 
7.2%
6 405
 
6.1%
7 394
 
5.9%
8 306
 
4.6%

소재지면적
Text

MISSING 

Distinct401
Distinct (%)56.5%
Missing75
Missing (%)9.6%
Memory size6.3 KiB
2024-04-30T04:33:48.474222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.6746479
Min length3

Characters and Unicode

Total characters3319
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

Unique367 ?
Unique (%)51.7%

Sample

1st row59.00
2nd row.00
3rd row48.95
4th row.00
5th row0.00
ValueCountFrequency (%)
00 239
33.7%
0.00 26
 
3.7%
99.00 5
 
0.7%
15.00 4
 
0.6%
12.00 4
 
0.6%
16.50 3
 
0.4%
120.00 3
 
0.4%
33.00 3
 
0.4%
144.00 3
 
0.4%
132.00 3
 
0.4%
Other values (391) 417
58.7%
2024-04-30T04:33:48.886393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1007
30.3%
. 710
21.4%
1 279
 
8.4%
2 223
 
6.7%
6 174
 
5.2%
4 174
 
5.2%
3 169
 
5.1%
5 157
 
4.7%
8 156
 
4.7%
9 134
 
4.0%
Other values (2) 136
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2602
78.4%
Other Punctuation 717
 
21.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1007
38.7%
1 279
 
10.7%
2 223
 
8.6%
6 174
 
6.7%
4 174
 
6.7%
3 169
 
6.5%
5 157
 
6.0%
8 156
 
6.0%
9 134
 
5.1%
7 129
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 710
99.0%
, 7
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1007
30.3%
. 710
21.4%
1 279
 
8.4%
2 223
 
6.7%
6 174
 
5.2%
4 174
 
5.2%
3 169
 
5.1%
5 157
 
4.7%
8 156
 
4.7%
9 134
 
4.0%
Other values (2) 136
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1007
30.3%
. 710
21.4%
1 279
 
8.4%
2 223
 
6.7%
6 174
 
5.2%
4 174
 
5.2%
3 169
 
5.1%
5 157
 
4.7%
8 156
 
4.7%
9 134
 
4.0%
Other values (2) 136
 
4.1%
Distinct259
Distinct (%)33.1%
Missing3
Missing (%)0.4%
Memory size6.3 KiB
2024-04-30T04:33:49.144137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.168798
Min length6

Characters and Unicode

Total characters4824
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

Unique98 ?
Unique (%)12.5%

Sample

1st row135500
2nd row135901
3rd row135834
4th row135816
5th row135931
ValueCountFrequency (%)
135090 14
 
1.8%
135860 14
 
1.8%
135882 11
 
1.4%
135916 11
 
1.4%
135854 10
 
1.3%
135200 10
 
1.3%
135908 10
 
1.3%
135190 10
 
1.3%
135847 10
 
1.3%
135859 9
 
1.2%
Other values (249) 673
86.1%
2024-04-30T04:33:49.543554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 993
20.6%
1 973
20.2%
3 923
19.1%
8 503
10.4%
9 411
8.5%
0 313
 
6.5%
2 187
 
3.9%
4 141
 
2.9%
- 132
 
2.7%
6 129
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4692
97.3%
Dash Punctuation 132
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 993
21.2%
1 973
20.7%
3 923
19.7%
8 503
10.7%
9 411
8.8%
0 313
 
6.7%
2 187
 
4.0%
4 141
 
3.0%
6 129
 
2.7%
7 119
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 993
20.6%
1 973
20.2%
3 923
19.1%
8 503
10.4%
9 411
8.5%
0 313
 
6.5%
2 187
 
3.9%
4 141
 
2.9%
- 132
 
2.7%
6 129
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 993
20.6%
1 973
20.2%
3 923
19.1%
8 503
10.4%
9 411
8.5%
0 313
 
6.5%
2 187
 
3.9%
4 141
 
2.9%
- 132
 
2.7%
6 129
 
2.7%
Distinct737
Distinct (%)94.2%
Missing3
Missing (%)0.4%
Memory size6.3 KiB
2024-04-30T04:33:49.734492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length42
Mean length24.920716
Min length17

Characters and Unicode

Total characters19488
Distinct characters286
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique696 ?
Unique (%)89.0%

Sample

1st row서울특별시 강남구 대치동 1024번지
2nd row서울특별시 강남구 압구정동 450-0번지 지하1층
3rd row서울특별시 강남구 대치동 27-1
4th row서울특별시 강남구 논현동 59-0번지
5th row서울특별시 강남구 역삼동 809-10번지
ValueCountFrequency (%)
서울특별시 782
21.5%
강남구 782
21.5%
역삼동 130
 
3.6%
대치동 100
 
2.7%
삼성동 97
 
2.7%
논현동 80
 
2.2%
개포동 80
 
2.2%
지하1층 73
 
2.0%
도곡동 65
 
1.8%
청담동 55
 
1.5%
Other values (939) 1398
38.4%
2024-04-30T04:33:50.047467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3468
 
17.8%
838
 
4.3%
810
 
4.2%
810
 
4.2%
807
 
4.1%
805
 
4.1%
790
 
4.1%
788
 
4.0%
785
 
4.0%
782
 
4.0%
Other values (276) 8805
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11823
60.7%
Space Separator 3468
 
17.8%
Decimal Number 3439
 
17.6%
Dash Punctuation 646
 
3.3%
Uppercase Letter 70
 
0.4%
Other Punctuation 23
 
0.1%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
838
 
7.1%
810
 
6.9%
810
 
6.9%
807
 
6.8%
805
 
6.8%
790
 
6.7%
788
 
6.7%
785
 
6.6%
782
 
6.6%
772
 
6.5%
Other values (238) 3836
32.4%
Uppercase Letter
ValueCountFrequency (%)
S 9
12.9%
E 7
 
10.0%
B 6
 
8.6%
K 5
 
7.1%
C 5
 
7.1%
H 4
 
5.7%
A 4
 
5.7%
I 4
 
5.7%
L 4
 
5.7%
G 3
 
4.3%
Other values (11) 19
27.1%
Decimal Number
ValueCountFrequency (%)
1 747
21.7%
2 401
11.7%
0 387
11.3%
6 328
9.5%
4 299
8.7%
7 297
 
8.6%
5 290
 
8.4%
9 256
 
7.4%
3 250
 
7.3%
8 184
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 22
95.7%
. 1
 
4.3%
Space Separator
ValueCountFrequency (%)
3468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 646
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11823
60.7%
Common 7594
39.0%
Latin 71
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
838
 
7.1%
810
 
6.9%
810
 
6.9%
807
 
6.8%
805
 
6.8%
790
 
6.7%
788
 
6.7%
785
 
6.6%
782
 
6.6%
772
 
6.5%
Other values (238) 3836
32.4%
Latin
ValueCountFrequency (%)
S 9
12.7%
E 7
 
9.9%
B 6
 
8.5%
K 5
 
7.0%
C 5
 
7.0%
H 4
 
5.6%
A 4
 
5.6%
I 4
 
5.6%
L 4
 
5.6%
G 3
 
4.2%
Other values (12) 20
28.2%
Common
ValueCountFrequency (%)
3468
45.7%
1 747
 
9.8%
- 646
 
8.5%
2 401
 
5.3%
0 387
 
5.1%
6 328
 
4.3%
4 299
 
3.9%
7 297
 
3.9%
5 290
 
3.8%
9 256
 
3.4%
Other values (6) 475
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11823
60.7%
ASCII 7664
39.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3468
45.3%
1 747
 
9.7%
- 646
 
8.4%
2 401
 
5.2%
0 387
 
5.0%
6 328
 
4.3%
4 299
 
3.9%
7 297
 
3.9%
5 290
 
3.8%
9 256
 
3.3%
Other values (27) 545
 
7.1%
Hangul
ValueCountFrequency (%)
838
 
7.1%
810
 
6.9%
810
 
6.9%
807
 
6.8%
805
 
6.8%
790
 
6.7%
788
 
6.7%
785
 
6.6%
782
 
6.6%
772
 
6.5%
Other values (238) 3836
32.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct610
Distinct (%)98.1%
Missing163
Missing (%)20.8%
Memory size6.3 KiB
2024-04-30T04:33:50.263918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length32.053055
Min length21

Characters and Unicode

Total characters19937
Distinct characters312
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

Unique599 ?
Unique (%)96.3%

Sample

1st row서울특별시 강남구 남부순환로 3165 (대치동)
2nd row서울특별시 강남구 언주로 211 (도곡동,강남세브란스병원 본관 지하1층)
3rd row서울특별시 강남구 영동대로 513 (삼성동)
4th row서울특별시 강남구 봉은사로 150 (역삼동)
5th row서울특별시 강남구 압구정로 343 (압구정동)
ValueCountFrequency (%)
서울특별시 622
 
16.7%
강남구 622
 
16.7%
지하1층 86
 
2.3%
역삼동 72
 
1.9%
삼성동 63
 
1.7%
대치동 61
 
1.6%
개포동 50
 
1.3%
논현동 46
 
1.2%
지하2층 44
 
1.2%
테헤란로 42
 
1.1%
Other values (900) 2023
54.2%
2024-04-30T04:33:50.604693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3110
 
15.6%
732
 
3.7%
698
 
3.5%
1 683
 
3.4%
677
 
3.4%
674
 
3.4%
672
 
3.4%
637
 
3.2%
633
 
3.2%
) 632
 
3.2%
Other values (302) 10789
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12151
60.9%
Space Separator 3110
 
15.6%
Decimal Number 2718
 
13.6%
Close Punctuation 632
 
3.2%
Open Punctuation 632
 
3.2%
Other Punctuation 574
 
2.9%
Uppercase Letter 90
 
0.5%
Dash Punctuation 30
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
732
 
6.0%
698
 
5.7%
677
 
5.6%
674
 
5.5%
672
 
5.5%
637
 
5.2%
633
 
5.2%
632
 
5.2%
628
 
5.2%
622
 
5.1%
Other values (266) 5546
45.6%
Uppercase Letter
ValueCountFrequency (%)
L 10
11.1%
H 9
 
10.0%
S 9
 
10.0%
B 7
 
7.8%
A 7
 
7.8%
E 6
 
6.7%
C 5
 
5.6%
K 5
 
5.6%
I 5
 
5.6%
T 4
 
4.4%
Other values (11) 23
25.6%
Decimal Number
ValueCountFrequency (%)
1 683
25.1%
2 467
17.2%
3 276
10.2%
5 238
 
8.8%
4 233
 
8.6%
6 206
 
7.6%
7 189
 
7.0%
0 183
 
6.7%
8 132
 
4.9%
9 111
 
4.1%
Space Separator
ValueCountFrequency (%)
3110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 632
100.0%
Open Punctuation
ValueCountFrequency (%)
( 632
100.0%
Other Punctuation
ValueCountFrequency (%)
, 574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12151
60.9%
Common 7696
38.6%
Latin 90
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
732
 
6.0%
698
 
5.7%
677
 
5.6%
674
 
5.5%
672
 
5.5%
637
 
5.2%
633
 
5.2%
632
 
5.2%
628
 
5.2%
622
 
5.1%
Other values (266) 5546
45.6%
Latin
ValueCountFrequency (%)
L 10
11.1%
H 9
 
10.0%
S 9
 
10.0%
B 7
 
7.8%
A 7
 
7.8%
E 6
 
6.7%
C 5
 
5.6%
K 5
 
5.6%
I 5
 
5.6%
T 4
 
4.4%
Other values (11) 23
25.6%
Common
ValueCountFrequency (%)
3110
40.4%
1 683
 
8.9%
) 632
 
8.2%
( 632
 
8.2%
, 574
 
7.5%
2 467
 
6.1%
3 276
 
3.6%
5 238
 
3.1%
4 233
 
3.0%
6 206
 
2.7%
Other values (5) 645
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12151
60.9%
ASCII 7786
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3110
39.9%
1 683
 
8.8%
) 632
 
8.1%
( 632
 
8.1%
, 574
 
7.4%
2 467
 
6.0%
3 276
 
3.5%
5 238
 
3.1%
4 233
 
3.0%
6 206
 
2.6%
Other values (26) 735
 
9.4%
Hangul
ValueCountFrequency (%)
732
 
6.0%
698
 
5.7%
677
 
5.6%
674
 
5.5%
672
 
5.5%
637
 
5.2%
633
 
5.2%
632
 
5.2%
628
 
5.2%
622
 
5.1%
Other values (266) 5546
45.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct273
Distinct (%)44.7%
Missing174
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean6202.0033
Minimum6000
Maximum6378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-30T04:33:50.726801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000
5-th percentile6019.5
Q16099
median6195
Q36310.5
95-th percentile6368.5
Maximum6378
Range378
Interquartile range (IQR)211.5

Descriptive statistics

Standard deviation115.19133
Coefficient of variation (CV)0.018573246
Kurtosis-1.2968101
Mean6202.0033
Median Absolute Deviation (MAD)105
Skewness-0.075634325
Sum3789424
Variance13269.043
MonotonicityNot monotonic
2024-04-30T04:33:50.850448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6164 10
 
1.3%
6362 9
 
1.1%
6321 7
 
0.9%
6336 7
 
0.9%
6072 7
 
0.9%
6171 6
 
0.8%
6369 6
 
0.8%
6373 6
 
0.8%
6265 6
 
0.8%
6143 6
 
0.8%
Other values (263) 541
68.9%
(Missing) 174
 
22.2%
ValueCountFrequency (%)
6000 1
 
0.1%
6001 1
 
0.1%
6003 1
 
0.1%
6004 3
0.4%
6005 1
 
0.1%
6006 1
 
0.1%
6008 1
 
0.1%
6009 2
0.3%
6010 2
0.3%
6011 2
0.3%
ValueCountFrequency (%)
6378 1
 
0.1%
6377 3
0.4%
6376 4
0.5%
6375 2
 
0.3%
6374 4
0.5%
6373 6
0.8%
6372 5
0.6%
6369 6
0.8%
6368 2
 
0.3%
6367 2
 
0.3%
Distinct751
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-30T04:33:51.041488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length24
Mean length8.8089172
Min length3

Characters and Unicode

Total characters6915
Distinct characters467
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

Unique719 ?
Unique (%)91.6%

Sample

1st row(주)나산직원구내식당
2nd row주식회사현대백화점구내식당
3rd row코원에너지서비스(주)
4th row안세병원
5th row(주)한준상사
ValueCountFrequency (%)
어린이집 25
 
2.5%
주식회사 13
 
1.3%
구내식당 12
 
1.2%
직원식당 12
 
1.2%
구립 11
 
1.1%
시대인재 6
 
0.6%
식당 6
 
0.6%
강남구립 5
 
0.5%
집단급식소 5
 
0.5%
대치 4
 
0.4%
Other values (836) 917
90.3%
2024-04-30T04:33:51.367328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
3.9%
231
 
3.3%
230
 
3.3%
201
 
2.9%
194
 
2.8%
) 180
 
2.6%
( 178
 
2.6%
162
 
2.3%
162
 
2.3%
129
 
1.9%
Other values (457) 4979
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6221
90.0%
Space Separator 231
 
3.3%
Close Punctuation 180
 
2.6%
Open Punctuation 178
 
2.6%
Uppercase Letter 56
 
0.8%
Lowercase Letter 22
 
0.3%
Decimal Number 19
 
0.3%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
269
 
4.3%
230
 
3.7%
201
 
3.2%
194
 
3.1%
162
 
2.6%
162
 
2.6%
129
 
2.1%
116
 
1.9%
113
 
1.8%
107
 
1.7%
Other values (415) 4538
72.9%
Uppercase Letter
ValueCountFrequency (%)
S 9
16.1%
C 6
10.7%
G 6
10.7%
L 5
8.9%
H 5
8.9%
K 4
 
7.1%
E 3
 
5.4%
R 2
 
3.6%
B 2
 
3.6%
A 2
 
3.6%
Other values (9) 12
21.4%
Lowercase Letter
ValueCountFrequency (%)
t 4
18.2%
n 3
13.6%
e 3
13.6%
l 2
9.1%
s 2
9.1%
r 2
9.1%
y 1
 
4.5%
o 1
 
4.5%
p 1
 
4.5%
m 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 11
57.9%
3 3
 
15.8%
7 3
 
15.8%
1 2
 
10.5%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
& 2
25.0%
? 1
 
12.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 180
100.0%
Open Punctuation
ValueCountFrequency (%)
( 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6221
90.0%
Common 616
 
8.9%
Latin 78
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
269
 
4.3%
230
 
3.7%
201
 
3.2%
194
 
3.1%
162
 
2.6%
162
 
2.6%
129
 
2.1%
116
 
1.9%
113
 
1.8%
107
 
1.7%
Other values (415) 4538
72.9%
Latin
ValueCountFrequency (%)
S 9
 
11.5%
C 6
 
7.7%
G 6
 
7.7%
L 5
 
6.4%
H 5
 
6.4%
t 4
 
5.1%
K 4
 
5.1%
E 3
 
3.8%
n 3
 
3.8%
e 3
 
3.8%
Other values (21) 30
38.5%
Common
ValueCountFrequency (%)
231
37.5%
) 180
29.2%
( 178
28.9%
2 11
 
1.8%
, 4
 
0.6%
3 3
 
0.5%
7 3
 
0.5%
& 2
 
0.3%
1 2
 
0.3%
? 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6221
90.0%
ASCII 694
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
269
 
4.3%
230
 
3.7%
201
 
3.2%
194
 
3.1%
162
 
2.6%
162
 
2.6%
129
 
2.1%
116
 
1.9%
113
 
1.8%
107
 
1.7%
Other values (415) 4538
72.9%
ASCII
ValueCountFrequency (%)
231
33.3%
) 180
25.9%
( 178
25.6%
2 11
 
1.6%
S 9
 
1.3%
C 6
 
0.9%
G 6
 
0.9%
L 5
 
0.7%
H 5
 
0.7%
, 4
 
0.6%
Other values (32) 59
 
8.5%
Distinct561
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum1999-03-05 00:00:00
Maximum2024-04-25 10:21:55
2024-04-30T04:33:51.494854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:51.811235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I
501 
U
284 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 501
63.8%
U 284
36.2%

Length

2024-04-30T04:33:51.926242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:52.001529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 501
63.8%
u 284
36.2%
Distinct272
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:33:52.086564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:33:52.197845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
집단급식소
222 
산업체
189 
어린이집
163 
학교
84 
병원
66 
Other values (3)
61 

Length

Max length8
Median length6
Mean length3.8687898
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 222
28.3%
산업체 189
24.1%
어린이집 163
20.8%
학교 84
 
10.7%
병원 66
 
8.4%
사회복지시설 32
 
4.1%
기타 집단급식소 25
 
3.2%
공공기관 4
 
0.5%

Length

2024-04-30T04:33:52.314160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:52.430840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 247
30.5%
산업체 189
23.3%
어린이집 163
20.1%
학교 84
 
10.4%
병원 66
 
8.1%
사회복지시설 32
 
4.0%
기타 25
 
3.1%
공공기관 4
 
0.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct561
Distinct (%)73.6%
Missing23
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean204691.5
Minimum201639.25
Maximum210499.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-30T04:33:52.554911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201639.25
5-th percentile202259.22
Q1203252.45
median204393.27
Q3205597.88
95-th percentile208788.8
Maximum210499.24
Range8859.9914
Interquartile range (IQR)2345.4273

Descriptive statistics

Standard deviation1871.102
Coefficient of variation (CV)0.0091410831
Kurtosis0.1372739
Mean204691.5
Median Absolute Deviation (MAD)1184.0839
Skewness0.85914232
Sum1.5597493 × 108
Variance3501022.9
MonotonicityNot monotonic
2024-04-30T04:33:52.661535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202880.352622758 8
 
1.0%
205130.591678902 7
 
0.9%
204096.699106893 5
 
0.6%
206581.787067095 5
 
0.6%
205793.331490607 4
 
0.5%
201924.485183724 4
 
0.5%
207914.471699463 4
 
0.5%
205544.219116136 4
 
0.5%
203599.062771687 4
 
0.5%
203050.783890109 4
 
0.5%
Other values (551) 713
90.8%
(Missing) 23
 
2.9%
ValueCountFrequency (%)
201639.245453617 1
 
0.1%
201648.849956832 1
 
0.1%
201663.485596684 1
 
0.1%
201828.756638827 1
 
0.1%
201903.35 1
 
0.1%
201924.485183724 4
0.5%
201931.867678079 1
 
0.1%
201976.62 1
 
0.1%
202010.468574868 2
0.3%
202019.609786891 1
 
0.1%
ValueCountFrequency (%)
210499.236902105 1
0.1%
210050.902574 1
0.1%
209859.926623 1
0.1%
209537.801711199 1
0.1%
209534.043071863 1
0.1%
209440.10170803 1
0.1%
209395.645986 1
0.1%
209384.708472884 2
0.3%
209341.350131 1
0.1%
209323.900775047 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct561
Distinct (%)73.6%
Missing23
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean444401.54
Minimum439796.04
Maximum447684.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-30T04:33:52.774730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439796.04
5-th percentile441415.84
Q1443113.46
median444467.96
Q3445771.61
95-th percentile446984.13
Maximum447684.31
Range7888.2639
Interquartile range (IQR)2658.1415

Descriptive statistics

Standard deviation1708.1794
Coefficient of variation (CV)0.0038437746
Kurtosis-0.7036261
Mean444401.54
Median Absolute Deviation (MAD)1324.3228
Skewness-0.20662295
Sum3.3863397 × 108
Variance2917876.7
MonotonicityNot monotonic
2024-04-30T04:33:52.893684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442776.692188896 8
 
1.0%
445590.096837802 7
 
0.9%
442714.510779264 5
 
0.6%
443555.991242524 5
 
0.6%
445607.043328083 4
 
0.5%
446086.692910222 4
 
0.5%
443385.050640776 4
 
0.5%
442625.092888027 4
 
0.5%
444556.062267296 4
 
0.5%
446316.514036122 4
 
0.5%
Other values (551) 713
90.8%
(Missing) 23
 
2.9%
ValueCountFrequency (%)
439796.044686133 1
0.1%
439882.118303183 1
0.1%
439891.159496907 1
0.1%
439910.319644658 1
0.1%
440255.972729148 1
0.1%
440475.244946303 1
0.1%
440513.80993 1
0.1%
440518.54895805 1
0.1%
440519.345691682 1
0.1%
440582.780887 1
0.1%
ValueCountFrequency (%)
447684.308574677 1
0.1%
447629.293493346 2
0.3%
447521.520319158 1
0.1%
447491.028995399 1
0.1%
447456.018370811 2
0.3%
447402.859078757 1
0.1%
447379.84918057 2
0.3%
447369.579851952 1
0.1%
447360.980394068 1
0.1%
447326.580215542 1
0.1%

위생업태명
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
집단급식소
222 
<NA>
166 
산업체
125 
어린이집
125 
학교
73 
Other values (3)
74 

Length

Max length8
Median length6
Mean length3.9426752
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 222
28.3%
<NA> 166
21.1%
산업체 125
15.9%
어린이집 125
15.9%
학교 73
 
9.3%
병원 41
 
5.2%
사회복지시설 23
 
2.9%
기타 집단급식소 10
 
1.3%

Length

2024-04-30T04:33:53.033741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:53.138515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 232
29.2%
na 166
20.9%
산업체 125
15.7%
어린이집 125
15.7%
학교 73
 
9.2%
병원 41
 
5.2%
사회복지시설 23
 
2.9%
기타 10
 
1.3%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
593 
0
191 
1
 
1

Length

Max length4
Median length4
Mean length3.266242
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 593
75.5%
0 191
 
24.3%
1 1
 
0.1%

Length

2024-04-30T04:33:53.248250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:53.338654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 593
75.5%
0 191
 
24.3%
1 1
 
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.6%
Missing593
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean0.22395833
Minimum0
Maximum16
Zeros186
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-30T04:33:53.410691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4640005
Coefficient of variation (CV)6.5369323
Kurtosis77.50454
Mean0.22395833
Median Absolute Deviation (MAD)0
Skewness8.2448267
Sum43
Variance2.1432973
MonotonicityNot monotonic
2024-04-30T04:33:53.524007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 186
 
23.7%
7 1
 
0.1%
4 1
 
0.1%
16 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
(Missing) 593
75.5%
ValueCountFrequency (%)
0 186
23.7%
3 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
16 1
 
0.1%
ValueCountFrequency (%)
16 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
0 186
23.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
604 
기타
167 
학교정화(절대)
 
5
주택가주변
 
3
아파트지역
 
2
Other values (2)
 
4

Length

Max length8
Median length4
Mean length3.6267516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 604
76.9%
기타 167
 
21.3%
학교정화(절대) 5
 
0.6%
주택가주변 3
 
0.4%
아파트지역 2
 
0.3%
학교정화(상대) 2
 
0.3%
유흥업소밀집지역 2
 
0.3%

Length

2024-04-30T04:33:53.654864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:53.763170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 604
76.9%
기타 167
 
21.3%
학교정화(절대 5
 
0.6%
주택가주변 3
 
0.4%
아파트지역 2
 
0.3%
학교정화(상대 2
 
0.3%
유흥업소밀집지역 2
 
0.3%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
604 
기타
149 
자율
 
29
우수
 
3

Length

Max length4
Median length4
Mean length3.5388535
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 604
76.9%
기타 149
 
19.0%
자율 29
 
3.7%
우수 3
 
0.4%

Length

2024-04-30T04:33:53.877738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:53.971339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 604
76.9%
기타 149
 
19.0%
자율 29
 
3.7%
우수 3
 
0.4%
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
상수도전용
395 
<NA>
389 
지하수전용
 
1

Length

Max length5
Median length5
Mean length4.5044586
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 395
50.3%
<NA> 389
49.6%
지하수전용 1
 
0.1%

Length

2024-04-30T04:33:54.059808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:54.147272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 395
50.3%
na 389
49.6%
지하수전용 1
 
0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
753 
0
 
32

Length

Max length4
Median length4
Mean length3.877707
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> 753
95.9%
0 32
 
4.1%

Length

2024-04-30T04:33:54.253846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:54.339986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 753
95.9%
0 32
 
4.1%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)4.4%
Missing470
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean0.75873016
Minimum0
Maximum63
Zeros291
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-30T04:33:54.410409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum63
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7650745
Coefficient of variation (CV)6.2803283
Kurtosis106.20384
Mean0.75873016
Median Absolute Deviation (MAD)0
Skewness9.5543001
Sum239
Variance22.705935
MonotonicityNot monotonic
2024-04-30T04:33:54.519913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 291
37.1%
2 9
 
1.1%
3 3
 
0.4%
7 2
 
0.3%
63 1
 
0.1%
27 1
 
0.1%
1 1
 
0.1%
30 1
 
0.1%
14 1
 
0.1%
9 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 470
59.9%
ValueCountFrequency (%)
0 291
37.1%
1 1
 
0.1%
2 9
 
1.1%
3 3
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
7 2
 
0.3%
9 1
 
0.1%
12 1
 
0.1%
14 1
 
0.1%
ValueCountFrequency (%)
63 1
0.1%
33 1
0.1%
30 1
0.1%
27 1
0.1%
14 1
0.1%
12 1
0.1%
9 1
0.1%
7 2
0.3%
5 1
0.1%
4 1
0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
753 
0
 
32

Length

Max length4
Median length4
Mean length3.877707
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> 753
95.9%
0 32
 
4.1%

Length

2024-04-30T04:33:54.645307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:54.760874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 753
95.9%
0 32
 
4.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
753 
0
 
32

Length

Max length4
Median length4
Mean length3.877707
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> 753
95.9%
0 32
 
4.1%

Length

2024-04-30T04:33:54.863888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:54.949157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 753
95.9%
0 32
 
4.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
753 
0
 
32

Length

Max length4
Median length4
Mean length3.877707
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> 753
95.9%
0 32
 
4.1%

Length

2024-04-30T04:33:55.044464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:55.146975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 753
95.9%
0 32
 
4.1%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
724 
임대
 
32
자가
 
29

Length

Max length4
Median length4
Mean length3.844586
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> 724
92.2%
임대 32
 
4.1%
자가 29
 
3.7%

Length

2024-04-30T04:33:55.245161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:55.334872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 724
92.2%
임대 32
 
4.1%
자가 29
 
3.7%

보증액
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
494 
0
291 

Length

Max length4
Median length4
Mean length2.8878981
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> 494
62.9%
0 291
37.1%

Length

2024-04-30T04:33:55.420561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:55.503545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 494
62.9%
0 291
37.1%

월세액
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
<NA>
494 
0
291 

Length

Max length4
Median length4
Mean length2.8878981
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> 494
62.9%
0 291
37.1%

Length

2024-04-30T04:33:55.607115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:33:55.696782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 494
62.9%
0 291
37.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing166
Missing (%)21.1%
Memory size1.7 KiB
False
619 
(Missing)
166 
ValueCountFrequency (%)
False 619
78.9%
(Missing) 166
 
21.1%
2024-04-30T04:33:55.763515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct308
Distinct (%)49.8%
Missing166
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean146.6563
Minimum0
Maximum2649
Zeros264
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-30T04:33:55.847030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.8
Q3186.195
95-th percentile660
Maximum2649
Range2649
Interquartile range (IQR)186.195

Descriptive statistics

Standard deviation279.08127
Coefficient of variation (CV)1.9029613
Kurtosis23.151535
Mean146.6563
Median Absolute Deviation (MAD)22.8
Skewness3.992387
Sum90780.25
Variance77886.354
MonotonicityNot monotonic
2024-04-30T04:33:56.016073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 264
33.6%
132.0 5
 
0.6%
49.58 4
 
0.5%
165.29 4
 
0.5%
99.0 4
 
0.5%
32.0 3
 
0.4%
198.34 3
 
0.4%
100.0 3
 
0.4%
330.58 3
 
0.4%
33.0 3
 
0.4%
Other values (298) 323
41.1%
(Missing) 166
21.1%
ValueCountFrequency (%)
0.0 264
33.6%
3.3 1
 
0.1%
4.95 1
 
0.1%
5.0 1
 
0.1%
5.8 1
 
0.1%
5.86 1
 
0.1%
6.75 1
 
0.1%
8.43 1
 
0.1%
9.9 1
 
0.1%
9.91 1
 
0.1%
ValueCountFrequency (%)
2649.0 1
0.1%
2378.0 1
0.1%
1838.76 1
0.1%
1819.26 1
0.1%
1662.0 1
0.1%
1280.8 1
0.1%
1200.0 1
0.1%
1147.5 2
0.3%
1109.83 1
0.1%
1066.5 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing785
Missing (%)100.0%
Memory size7.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-105-1977-0002919910612<NA>3폐업2폐업20071130<NA><NA><NA>023456908659.00135500서울특별시 강남구 대치동 1024번지<NA><NA>(주)나산직원구내식당2005-07-08 00:00:00I2018-08-31 23:59:59.0집단급식소204817.246059443832.635074집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N267.0<NA><NA><NA>
132200003220000-105-1979-0001219790730<NA>3폐업2폐업20021113<NA><NA><NA>02 5413207<NA>135901서울특별시 강남구 압구정동 450-0번지 지하1층<NA><NA>주식회사현대백화점구내식당2002-04-11 00:00:00I2018-08-31 23:59:59.0집단급식소202377.479765447379.849181집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
232200003220000-105-1983-0020019830301<NA>1영업/정상1영업<NA><NA><NA><NA>34108495.00135834서울특별시 강남구 대치동 27-1서울특별시 강남구 남부순환로 3165 (대치동)6332코원에너지서비스(주)2023-01-17 14:26:18U2022-11-30 23:09:00.0산업체206629.761344444129.159196<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
332200003220000-105-1984-0000919840530<NA>3폐업2폐업20081120<NA><NA><NA>0205411541<NA>135816서울특별시 강남구 논현동 59-0번지<NA><NA>안세병원2001-08-03 00:00:00I2018-08-31 23:59:59.0집단급식소202457.281306446353.55599집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
432200003220000-105-1986-0000519860330<NA>3폐업2폐업19940630<NA><NA><NA>020567805548.95135931서울특별시 강남구 역삼동 809-10번지<NA><NA>(주)한준상사2001-08-03 00:00:00I2018-08-31 23:59:59.0집단급식소202196.546252444552.179536집단급식소00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N279.59<NA><NA><NA>
532200003220000-105-1986-0000819861209<NA>3폐업2폐업19990401<NA><NA><NA>0205491542<NA>135832서울특별시 강남구 논현동 261-1번지<NA><NA>한일은행강남별관2001-08-03 00:00:00I2018-08-31 23:59:59.0집단급식소203200.822409445428.296003집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632200003220000-105-1989-0001119890430<NA>3폐업2폐업19990608<NA><NA><NA>02<NA>135840서울특별시 강남구 대치동 891-44번지<NA><NA>한라시멘트2001-08-03 00:00:00I2018-08-31 23:59:59.0집단급식소204828.00255444777.618635집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
732200003220000-105-1990-0000619900928<NA>3폐업2폐업19941004<NA><NA><NA>0205673111<NA>135916서울특별시 강남구 역삼동 679-3번지<NA><NA>반도유스호텔2001-08-03 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
832200003220000-105-1990-0000719900330<NA>3폐업2폐업20030926<NA><NA><NA>0205527111<NA>135907서울특별시 강남구 역삼동 602-4번지<NA><NA>남서울관광호텔2002-04-10 00:00:00I2018-08-31 23:59:59.0집단급식소202395.026525444750.399574집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932200003220000-105-1990-0001519900101<NA>3폐업2폐업20040413<NA><NA><NA>02 5171262<NA>135871서울특별시 강남구 삼성동 87-0번지<NA><NA>한국중공업구내식당2001-08-03 00:00:00I2018-08-31 23:59:59.0집단급식소205176.219845446230.094789집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
77532200003220000-105-2023-000232023-11-24<NA>1영업/정상1영업<NA><NA><NA><NA>15881234110.70135-856서울특별시 강남구 도곡동 467-17 타워팰리스서울특별시 강남구 언주로30길 57, 지하1층 (도곡동, 타워팰리스)6293(주)신세계 푸드마켓 도곡점2024-04-18 11:20:26U2023-12-03 22:00:00.0기타 집단급식소204749.304518443058.194678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77632200003220000-105-2024-000012024-02-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>700.80135-810서울특별시 강남구 개포동 660-10 개원초등학교서울특별시 강남구 선릉로 29, 개원초등학교 지상2층 (개포동)6321서울개원초등학교2024-02-13 16:08:35I2023-12-01 23:05:00.0학교205153.559819442132.252083<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77732200003220000-105-2024-000022024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA>0260032060275.27135-826서울특별시 강남구 논현동 192-5 정빌딩서울특별시 강남구 논현로 609, 정빌딩 지하2층 (논현동)6122(주)메가젠임플란트 서울지사2024-02-27 16:28:42I2023-12-01 22:09:00.0산업체202862.486859445090.465577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77832200003220000-105-2024-000032024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.00135-810서울특별시 강남구 개포동 660-1 디에이치퍼스티어아이파크서울특별시 강남구 개포로 310 (개포동, 디에이치퍼스티어아이파크)6321구립 퍼스티어누리어린이집2024-04-17 15:36:58U2023-12-03 23:09:00.0어린이집205137.172933442329.621421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
77932200003220000-105-2024-000042024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.09135-810서울특별시 강남구 개포동 660-1 디에이치퍼스티어아이파크서울특별시 강남구 개포로 310, 지상1층 (개포동, 디에이치퍼스티어아이파크)6321구립 퍼스티어다은어린이집2024-03-13 16:01:18I2023-12-02 23:06:00.0어린이집205137.172933442329.621421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78032200003220000-105-2024-000052024-03-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>18.00135-200서울특별시 강남구 자곡동 335 LH 수서 1단지 아파트서울특별시 강남구 밤고개로 165 (자곡동, LH 수서 1단지 아파트)6369구립수서행복한어린이집2024-03-19 11:08:56I2023-12-02 22:01:00.0어린이집209323.900775441804.152175<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78132200003220000-105-2024-000062024-03-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.77135-810서울특별시 강남구 개포동 660-1 디에이치퍼스티어아이파크서울특별시 강남구 개포로 310, 1층 (개포동, 디에이치퍼스티어아이파크)6321구립 퍼스티어라별어린이집2024-03-19 17:56:42I2023-12-02 22:01:00.0어린이집205137.172933442329.621421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78232200003220000-105-2024-000072024-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.23135-810서울특별시 강남구 개포동 660-1 디에이치퍼스티어아이파크서울특별시 강남구 개포로 310, 지상1층 (개포동, 디에이치퍼스티어아이파크)6321구립 퍼스티어고운어린이집2024-03-20 17:40:35I2023-12-02 22:02:00.0어린이집205137.172933442329.621421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78332200003220000-105-2024-000082024-04-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.64135-080서울특별시 강남구 역삼동 902 강남센트럴아이파크서울특별시 강남구 테헤란로44길 26, 관리동 지상1층 (역삼동, 강남센트럴아이파크)6214강남센트럴어린이집2024-04-09 14:46:26I2023-12-03 23:01:00.0어린이집203978.055676444221.673292<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78432200003220000-105-2024-000092024-04-09<NA>1영업/정상1영업<NA><NA><NA><NA>02 34454181113.00135-090서울특별시 강남구 삼성동 16-2 삼성동힐스테이트1단지아파트서울특별시 강남구 학동로68길 29, 관리동 1층 (삼성동, 삼성동힐스테이트1단지아파트)6090아이큰숲 어린이집2024-04-09 17:43:34I2023-12-03 23:01:00.0어린이집204213.366631446009.691862<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>