Overview

Dataset statistics

Number of variables44
Number of observations432
Missing cells4169
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory158.3 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-18026/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (67.4%)Imbalance
영업장주변구분명 is highly imbalanced (67.6%)Imbalance
등급구분명 is highly imbalanced (56.7%)Imbalance
총인원 is highly imbalanced (89.4%)Imbalance
본사종업원수 is highly imbalanced (58.4%)Imbalance
공장사무직종업원수 is highly imbalanced (89.4%)Imbalance
공장판매직종업원수 is highly imbalanced (89.4%)Imbalance
공장생산직종업원수 is highly imbalanced (89.4%)Imbalance
건물소유구분명 is highly imbalanced (82.5%)Imbalance
인허가취소일자 has 432 (100.0%) missing valuesMissing
폐업일자 has 285 (66.0%) missing valuesMissing
휴업시작일자 has 432 (100.0%) missing valuesMissing
휴업종료일자 has 432 (100.0%) missing valuesMissing
재개업일자 has 432 (100.0%) missing valuesMissing
전화번호 has 57 (13.2%) missing valuesMissing
소재지면적 has 46 (10.6%) missing valuesMissing
도로명주소 has 44 (10.2%) missing valuesMissing
도로명우편번호 has 48 (11.1%) missing valuesMissing
좌표정보(X) has 9 (2.1%) missing valuesMissing
좌표정보(Y) has 9 (2.1%) missing valuesMissing
여성종사자수 has 373 (86.3%) missing valuesMissing
다중이용업소여부 has 137 (31.7%) missing valuesMissing
시설총규모 has 137 (31.7%) missing valuesMissing
전통업소지정번호 has 432 (100.0%) missing valuesMissing
전통업소주된음식 has 432 (100.0%) missing valuesMissing
홈페이지 has 432 (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 44 (10.2%) zerosZeros
시설총규모 has 91 (21.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:37:35.781237
Analysis finished2024-05-11 05:37:37.076540
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3240000
432 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 432
100.0%

Length

2024-05-11T14:37:37.178742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:37.330891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 432
100.0%

관리번호
Text

UNIQUE 

Distinct432
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:37:37.587824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9504
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

Unique432 ?
Unique (%)100.0%

Sample

1st row3240000-105-1899-00073
2nd row3240000-105-1972-00011
3rd row3240000-105-1979-00028
4th row3240000-105-1985-00010
5th row3240000-105-1989-00020
ValueCountFrequency (%)
3240000-105-1899-00073 1
 
0.2%
3240000-105-2012-00021 1
 
0.2%
3240000-105-2013-00011 1
 
0.2%
3240000-105-2013-00010 1
 
0.2%
3240000-105-2013-00009 1
 
0.2%
3240000-105-2013-00008 1
 
0.2%
3240000-105-2013-00007 1
 
0.2%
3240000-105-2013-00006 1
 
0.2%
3240000-105-2013-00005 1
 
0.2%
3240000-105-2013-00004 1
 
0.2%
Other values (422) 422
97.7%
2024-05-11T14:37:38.073974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4239
44.6%
- 1296
 
13.6%
2 950
 
10.0%
1 873
 
9.2%
5 579
 
6.1%
3 533
 
5.6%
4 522
 
5.5%
9 250
 
2.6%
6 90
 
0.9%
8 88
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8208
86.4%
Dash Punctuation 1296
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4239
51.6%
2 950
 
11.6%
1 873
 
10.6%
5 579
 
7.1%
3 533
 
6.5%
4 522
 
6.4%
9 250
 
3.0%
6 90
 
1.1%
8 88
 
1.1%
7 84
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4239
44.6%
- 1296
 
13.6%
2 950
 
10.0%
1 873
 
9.2%
5 579
 
6.1%
3 533
 
5.6%
4 522
 
5.5%
9 250
 
2.6%
6 90
 
0.9%
8 88
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4239
44.6%
- 1296
 
13.6%
2 950
 
10.0%
1 873
 
9.2%
5 579
 
6.1%
3 533
 
5.6%
4 522
 
5.5%
9 250
 
2.6%
6 90
 
0.9%
8 88
 
0.9%
Distinct357
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1972-06-19 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T14:37:38.312882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:38.528908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
285 
3
147 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 285
66.0%
3 147
34.0%

Length

2024-05-11T14:37:38.759039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:38.920650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 285
66.0%
3 147
34.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업/정상
285 
폐업
147 

Length

Max length5
Median length5
Mean length3.9791667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 285
66.0%
폐업 147
34.0%

Length

2024-05-11T14:37:39.107940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:39.312478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 285
66.0%
폐업 147
34.0%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
285 
2
147 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 285
66.0%
2 147
34.0%

Length

2024-05-11T14:37:39.473937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:39.632951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 285
66.0%
2 147
34.0%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업
285 
폐업
147 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 285
66.0%
폐업 147
34.0%

Length

2024-05-11T14:37:39.792132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:39.930752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 285
66.0%
폐업 147
34.0%

폐업일자
Date

MISSING 

Distinct125
Distinct (%)85.0%
Missing285
Missing (%)66.0%
Memory size3.5 KiB
Minimum1996-06-21 00:00:00
Maximum2023-08-23 00:00:00
2024-05-11T14:37:40.080173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:40.249855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

전화번호
Text

MISSING 

Distinct358
Distinct (%)95.5%
Missing57
Missing (%)13.2%
Memory size3.5 KiB
2024-05-11T14:37:40.662849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.674667
Min length1

Characters and Unicode

Total characters4003
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

Unique349 ?
Unique (%)93.1%

Sample

1st row02 34268086
2nd row02 4782939
3rd row02 4280870
4th row02 4279734
5th row0222248128
ValueCountFrequency (%)
02 307
38.2%
428 13
 
1.6%
441 11
 
1.4%
426 10
 
1.2%
474 8
 
1.0%
473 6
 
0.7%
477 5
 
0.6%
470 5
 
0.6%
02470 5
 
0.6%
489 5
 
0.6%
Other values (388) 428
53.3%
2024-05-11T14:37:41.660853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 724
18.1%
0 674
16.8%
594
14.8%
4 507
12.7%
7 287
 
7.2%
1 259
 
6.5%
8 225
 
5.6%
3 224
 
5.6%
5 191
 
4.8%
6 181
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3409
85.2%
Space Separator 594
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 724
21.2%
0 674
19.8%
4 507
14.9%
7 287
 
8.4%
1 259
 
7.6%
8 225
 
6.6%
3 224
 
6.6%
5 191
 
5.6%
6 181
 
5.3%
9 137
 
4.0%
Space Separator
ValueCountFrequency (%)
594
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4003
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 724
18.1%
0 674
16.8%
594
14.8%
4 507
12.7%
7 287
 
7.2%
1 259
 
6.5%
8 225
 
5.6%
3 224
 
5.6%
5 191
 
4.8%
6 181
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 724
18.1%
0 674
16.8%
594
14.8%
4 507
12.7%
7 287
 
7.2%
1 259
 
6.5%
8 225
 
5.6%
3 224
 
5.6%
5 191
 
4.8%
6 181
 
4.5%

소재지면적
Text

MISSING 

Distinct243
Distinct (%)63.0%
Missing46
Missing (%)10.6%
Memory size3.5 KiB
2024-05-11T14:37:42.155547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.8316062
Min length3

Characters and Unicode

Total characters1865
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

Unique205 ?
Unique (%)53.1%

Sample

1st row281.37
2nd row33.84
3rd row20.80
4th row22.78
5th row62.94
ValueCountFrequency (%)
00 57
 
14.8%
0.00 12
 
3.1%
13.20 11
 
2.8%
6.60 8
 
2.1%
9.90 6
 
1.6%
16.50 6
 
1.6%
20.00 5
 
1.3%
10.00 4
 
1.0%
7.90 4
 
1.0%
19.80 4
 
1.0%
Other values (233) 269
69.7%
2024-05-11T14:37:42.943979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 555
29.8%
. 386
20.7%
1 177
 
9.5%
2 135
 
7.2%
3 100
 
5.4%
6 96
 
5.1%
9 92
 
4.9%
5 92
 
4.9%
8 83
 
4.5%
4 74
 
4.0%
Other values (2) 75
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1476
79.1%
Other Punctuation 389
 
20.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 555
37.6%
1 177
 
12.0%
2 135
 
9.1%
3 100
 
6.8%
6 96
 
6.5%
9 92
 
6.2%
5 92
 
6.2%
8 83
 
5.6%
4 74
 
5.0%
7 72
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 386
99.2%
, 3
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 555
29.8%
. 386
20.7%
1 177
 
9.5%
2 135
 
7.2%
3 100
 
5.4%
6 96
 
5.1%
9 92
 
4.9%
5 92
 
4.9%
8 83
 
4.5%
4 74
 
4.0%
Other values (2) 75
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 555
29.8%
. 386
20.7%
1 177
 
9.5%
2 135
 
7.2%
3 100
 
5.4%
6 96
 
5.1%
9 92
 
4.9%
5 92
 
4.9%
8 83
 
4.5%
4 74
 
4.0%
Other values (2) 75
 
4.0%
Distinct123
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:37:43.486030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2337963
Min length6

Characters and Unicode

Total characters2693
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

Unique37 ?
Unique (%)8.6%

Sample

1st row134803
2nd row134861
3rd row134803
4th row134837
5th row134848
ValueCountFrequency (%)
134100 22
 
5.1%
134825 14
 
3.2%
134814 13
 
3.0%
134861 12
 
2.8%
134837 11
 
2.5%
134850 10
 
2.3%
134830 10
 
2.3%
134-100 9
 
2.1%
134858 8
 
1.9%
134822 8
 
1.9%
Other values (113) 315
72.9%
2024-05-11T14:37:44.179746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 551
20.5%
3 513
19.0%
4 513
19.0%
8 449
16.7%
0 196
 
7.3%
7 105
 
3.9%
5 104
 
3.9%
- 101
 
3.8%
6 72
 
2.7%
2 55
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2592
96.2%
Dash Punctuation 101
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 551
21.3%
3 513
19.8%
4 513
19.8%
8 449
17.3%
0 196
 
7.6%
7 105
 
4.1%
5 104
 
4.0%
6 72
 
2.8%
2 55
 
2.1%
9 34
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 551
20.5%
3 513
19.0%
4 513
19.0%
8 449
16.7%
0 196
 
7.3%
7 105
 
3.9%
5 104
 
3.9%
- 101
 
3.8%
6 72
 
2.7%
2 55
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 551
20.5%
3 513
19.0%
4 513
19.0%
8 449
16.7%
0 196
 
7.3%
7 105
 
3.9%
5 104
 
3.9%
- 101
 
3.8%
6 72
 
2.7%
2 55
 
2.0%
Distinct411
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:37:44.784616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length22.842593
Min length15

Characters and Unicode

Total characters9868
Distinct characters239
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)91.0%

Sample

1st row서울특별시 강동구 고덕동 297-0
2nd row서울특별시 강동구 천호동 26-18번지
3rd row서울특별시 강동구 고덕동 298번지
4th row서울특별시 강동구 상일동 179-0번지
5th row서울특별시 강동구 성내동 451-0번지
ValueCountFrequency (%)
서울특별시 432
22.7%
강동구 432
22.7%
천호동 69
 
3.6%
성내동 65
 
3.4%
암사동 55
 
2.9%
고덕동 49
 
2.6%
상일동 47
 
2.5%
길동 47
 
2.5%
명일동 43
 
2.3%
강일동 31
 
1.6%
Other values (526) 629
33.1%
2024-05-11T14:37:45.571450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1760
17.8%
895
 
9.1%
492
 
5.0%
443
 
4.5%
442
 
4.5%
440
 
4.5%
439
 
4.4%
432
 
4.4%
432
 
4.4%
- 326
 
3.3%
Other values (229) 3767
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5979
60.6%
Space Separator 1760
 
17.8%
Decimal Number 1748
 
17.7%
Dash Punctuation 326
 
3.3%
Uppercase Letter 25
 
0.3%
Open Punctuation 11
 
0.1%
Close Punctuation 11
 
0.1%
Other Punctuation 7
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
895
15.0%
492
 
8.2%
443
 
7.4%
442
 
7.4%
440
 
7.4%
439
 
7.3%
432
 
7.2%
432
 
7.2%
229
 
3.8%
198
 
3.3%
Other values (201) 1537
25.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.0%
M 3
12.0%
R 2
8.0%
C 2
8.0%
W 2
8.0%
O 2
8.0%
T 2
8.0%
I 2
8.0%
D 2
8.0%
S 2
8.0%
Other values (2) 2
8.0%
Decimal Number
ValueCountFrequency (%)
1 300
17.2%
4 250
14.3%
2 223
12.8%
3 211
12.1%
5 170
9.7%
0 167
9.6%
6 114
 
6.5%
9 113
 
6.5%
7 109
 
6.2%
8 91
 
5.2%
Space Separator
ValueCountFrequency (%)
1760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5979
60.6%
Common 3863
39.1%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
895
15.0%
492
 
8.2%
443
 
7.4%
442
 
7.4%
440
 
7.4%
439
 
7.3%
432
 
7.2%
432
 
7.2%
229
 
3.8%
198
 
3.3%
Other values (201) 1537
25.7%
Common
ValueCountFrequency (%)
1760
45.6%
- 326
 
8.4%
1 300
 
7.8%
4 250
 
6.5%
2 223
 
5.8%
3 211
 
5.5%
5 170
 
4.4%
0 167
 
4.3%
6 114
 
3.0%
9 113
 
2.9%
Other values (5) 229
 
5.9%
Latin
ValueCountFrequency (%)
E 4
15.4%
M 3
11.5%
R 2
7.7%
C 2
7.7%
W 2
7.7%
O 2
7.7%
T 2
7.7%
I 2
7.7%
D 2
7.7%
S 2
7.7%
Other values (3) 3
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5979
60.6%
ASCII 3889
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1760
45.3%
- 326
 
8.4%
1 300
 
7.7%
4 250
 
6.4%
2 223
 
5.7%
3 211
 
5.4%
5 170
 
4.4%
0 167
 
4.3%
6 114
 
2.9%
9 113
 
2.9%
Other values (18) 255
 
6.6%
Hangul
ValueCountFrequency (%)
895
15.0%
492
 
8.2%
443
 
7.4%
442
 
7.4%
440
 
7.4%
439
 
7.3%
432
 
7.2%
432
 
7.2%
229
 
3.8%
198
 
3.3%
Other values (201) 1537
25.7%

도로명주소
Text

MISSING 

Distinct365
Distinct (%)94.1%
Missing44
Missing (%)10.2%
Memory size3.5 KiB
2024-05-11T14:37:46.069964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length29.237113
Min length22

Characters and Unicode

Total characters11344
Distinct characters239
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

Unique344 ?
Unique (%)88.7%

Sample

1st row서울특별시 강동구 고덕로 295-59 (고덕동)
2nd row서울특별시 강동구 구천면로68길 46 (천호동)
3rd row서울특별시 강동구 고덕로 295-45 (고덕동)
4th row서울특별시 강동구 상암로 369 (상일동)
5th row서울특별시 강동구 성안로 150 (길동)
ValueCountFrequency (%)
서울특별시 388
 
17.9%
강동구 388
 
17.9%
천호동 54
 
2.5%
성내동 52
 
2.4%
암사동 47
 
2.2%
고덕동 44
 
2.0%
상일동 43
 
2.0%
길동 42
 
1.9%
1층 36
 
1.7%
명일동 35
 
1.6%
Other values (540) 1037
47.9%
2024-05-11T14:37:46.831221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1778
 
15.7%
858
 
7.6%
460
 
4.1%
428
 
3.8%
399
 
3.5%
( 399
 
3.5%
) 399
 
3.5%
397
 
3.5%
394
 
3.5%
390
 
3.4%
Other values (229) 5442
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6828
60.2%
Space Separator 1778
 
15.7%
Decimal Number 1662
 
14.7%
Open Punctuation 399
 
3.5%
Close Punctuation 399
 
3.5%
Other Punctuation 179
 
1.6%
Dash Punctuation 56
 
0.5%
Uppercase Letter 33
 
0.3%
Lowercase Letter 6
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
858
 
12.6%
460
 
6.7%
428
 
6.3%
399
 
5.8%
397
 
5.8%
394
 
5.8%
390
 
5.7%
388
 
5.7%
383
 
5.6%
271
 
4.0%
Other values (193) 2460
36.0%
Uppercase Letter
ValueCountFrequency (%)
E 4
12.1%
B 4
12.1%
C 3
9.1%
M 3
9.1%
T 2
 
6.1%
I 2
 
6.1%
D 2
 
6.1%
S 2
 
6.1%
O 2
 
6.1%
W 2
 
6.1%
Other values (6) 7
21.2%
Decimal Number
ValueCountFrequency (%)
1 372
22.4%
3 213
12.8%
2 192
11.6%
4 142
 
8.5%
6 141
 
8.5%
5 139
 
8.4%
9 138
 
8.3%
8 124
 
7.5%
7 103
 
6.2%
0 98
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
r 1
 
16.7%
t 1
 
16.7%
n 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1778
100.0%
Open Punctuation
ValueCountFrequency (%)
( 399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Other Punctuation
ValueCountFrequency (%)
, 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6828
60.2%
Common 4477
39.5%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
858
 
12.6%
460
 
6.7%
428
 
6.3%
399
 
5.8%
397
 
5.8%
394
 
5.8%
390
 
5.7%
388
 
5.7%
383
 
5.6%
271
 
4.0%
Other values (193) 2460
36.0%
Latin
ValueCountFrequency (%)
E 4
 
10.3%
B 4
 
10.3%
e 3
 
7.7%
C 3
 
7.7%
M 3
 
7.7%
T 2
 
5.1%
I 2
 
5.1%
D 2
 
5.1%
S 2
 
5.1%
O 2
 
5.1%
Other values (10) 12
30.8%
Common
ValueCountFrequency (%)
1778
39.7%
( 399
 
8.9%
) 399
 
8.9%
1 372
 
8.3%
3 213
 
4.8%
2 192
 
4.3%
, 179
 
4.0%
4 142
 
3.2%
6 141
 
3.1%
5 139
 
3.1%
Other values (6) 523
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6828
60.2%
ASCII 4516
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1778
39.4%
( 399
 
8.8%
) 399
 
8.8%
1 372
 
8.2%
3 213
 
4.7%
2 192
 
4.3%
, 179
 
4.0%
4 142
 
3.1%
6 141
 
3.1%
5 139
 
3.1%
Other values (26) 562
 
12.4%
Hangul
ValueCountFrequency (%)
858
 
12.6%
460
 
6.7%
428
 
6.3%
399
 
5.8%
397
 
5.8%
394
 
5.8%
390
 
5.7%
388
 
5.7%
383
 
5.6%
271
 
4.0%
Other values (193) 2460
36.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)40.1%
Missing48
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean5303.0911
Minimum5201
Maximum5416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:37:47.105348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5214
Q15251
median5295
Q35355
95-th percentile5407.85
Maximum5416
Range215
Interquartile range (IQR)104

Descriptive statistics

Standard deviation62.723393
Coefficient of variation (CV)0.011827704
Kurtosis-1.1392562
Mean5303.0911
Median Absolute Deviation (MAD)54
Skewness0.24673832
Sum2036387
Variance3934.224
MonotonicityNot monotonic
2024-05-11T14:37:47.361721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5269 9
 
2.1%
5255 8
 
1.9%
5225 8
 
1.9%
5356 7
 
1.6%
5288 7
 
1.6%
5271 6
 
1.4%
5355 6
 
1.4%
5282 6
 
1.4%
5414 5
 
1.2%
5242 5
 
1.2%
Other values (144) 317
73.4%
(Missing) 48
 
11.1%
ValueCountFrequency (%)
5201 1
 
0.2%
5202 1
 
0.2%
5203 5
1.2%
5206 1
 
0.2%
5207 2
 
0.5%
5208 2
 
0.5%
5210 2
 
0.5%
5211 1
 
0.2%
5212 1
 
0.2%
5213 3
0.7%
ValueCountFrequency (%)
5416 4
0.9%
5415 2
 
0.5%
5414 5
1.2%
5412 1
 
0.2%
5411 2
 
0.5%
5410 1
 
0.2%
5409 1
 
0.2%
5408 4
0.9%
5407 5
1.2%
5405 1
 
0.2%
Distinct418
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T14:37:47.804254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length8.2662037
Min length3

Characters and Unicode

Total characters3571
Distinct characters337
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)93.8%

Sample

1st row한국구화학교
2nd row명진들꽃사랑마을
3rd row(사회복지재단)우성재단
4th row주몽재활원
5th row축협중앙회노동조합소비조합
ValueCountFrequency (%)
구립 17
 
3.3%
어린이집 16
 
3.1%
주식회사 4
 
0.8%
구내식당 3
 
0.6%
강동구청 3
 
0.6%
어학학원 3
 
0.6%
조은어린이집 3
 
0.6%
서울장애인종합복지관 2
 
0.4%
구립암사어린이집 2
 
0.4%
농민신문사 2
 
0.4%
Other values (444) 458
89.3%
2024-05-11T14:37:48.460729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
6.0%
193
 
5.4%
172
 
4.8%
169
 
4.7%
121
 
3.4%
94
 
2.6%
89
 
2.5%
83
 
2.3%
81
 
2.3%
79
 
2.2%
Other values (327) 2274
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3404
95.3%
Space Separator 81
 
2.3%
Close Punctuation 32
 
0.9%
Open Punctuation 32
 
0.9%
Uppercase Letter 15
 
0.4%
Other Punctuation 4
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
216
 
6.3%
193
 
5.7%
172
 
5.1%
169
 
5.0%
121
 
3.6%
94
 
2.8%
89
 
2.6%
83
 
2.4%
79
 
2.3%
78
 
2.3%
Other values (314) 2110
62.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
E 3
20.0%
G 3
20.0%
K 2
13.3%
D 1
 
6.7%
I 1
 
6.7%
S 1
 
6.7%
B 1
 
6.7%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3404
95.3%
Common 152
 
4.3%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
216
 
6.3%
193
 
5.7%
172
 
5.1%
169
 
5.0%
121
 
3.6%
94
 
2.8%
89
 
2.6%
83
 
2.4%
79
 
2.3%
78
 
2.3%
Other values (314) 2110
62.0%
Latin
ValueCountFrequency (%)
C 3
20.0%
E 3
20.0%
G 3
20.0%
K 2
13.3%
D 1
 
6.7%
I 1
 
6.7%
S 1
 
6.7%
B 1
 
6.7%
Common
ValueCountFrequency (%)
81
53.3%
) 32
 
21.1%
( 32
 
21.1%
. 4
 
2.6%
2 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3404
95.3%
ASCII 167
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
216
 
6.3%
193
 
5.7%
172
 
5.1%
169
 
5.0%
121
 
3.6%
94
 
2.8%
89
 
2.6%
83
 
2.4%
79
 
2.3%
78
 
2.3%
Other values (314) 2110
62.0%
ASCII
ValueCountFrequency (%)
81
48.5%
) 32
 
19.2%
( 32
 
19.2%
. 4
 
2.4%
2 3
 
1.8%
C 3
 
1.8%
E 3
 
1.8%
G 3
 
1.8%
K 2
 
1.2%
D 1
 
0.6%
Other values (3) 3
 
1.8%
Distinct424
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1999-05-21 00:00:00
Maximum2024-04-30 16:23:51
2024-05-11T14:37:48.689438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:48.947800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
U
261 
I
171 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 261
60.4%
I 171
39.6%

Length

2024-05-11T14:37:49.200713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:49.376216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 261
60.4%
i 171
39.6%
Distinct142
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T14:37:49.576766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:49.801760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
어린이집
183 
집단급식소
70 
학교
64 
병원
40 
산업체
34 
Other values (4)
41 

Length

Max length8
Median length6
Mean length3.7569444
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 183
42.4%
집단급식소 70
 
16.2%
학교 64
 
14.8%
병원 40
 
9.3%
산업체 34
 
7.9%
사회복지시설 25
 
5.8%
공공기관 11
 
2.5%
기타 집단급식소 4
 
0.9%
산후조리원 1
 
0.2%

Length

2024-05-11T14:37:50.026812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:50.227242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 183
42.0%
집단급식소 74
17.0%
학교 64
 
14.7%
병원 40
 
9.2%
산업체 34
 
7.8%
사회복지시설 25
 
5.7%
공공기관 11
 
2.5%
기타 4
 
0.9%
산후조리원 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)80.6%
Missing9
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean212706.56
Minimum210558.1
Maximum215966.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:37:50.518785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210558.1
5-th percentile210863.59
Q1211496.27
median212404.61
Q3213632.64
95-th percentile215423.76
Maximum215966.73
Range5408.6334
Interquartile range (IQR)2136.3705

Descriptive statistics

Standard deviation1463.4174
Coefficient of variation (CV)0.0068799824
Kurtosis-0.68495085
Mean212706.56
Median Absolute Deviation (MAD)1039.88
Skewness0.62031347
Sum89974873
Variance2141590.3
MonotonicityNot monotonic
2024-05-11T14:37:50.818163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212221.342539571 4
 
0.9%
215423.76462869 4
 
0.9%
212084.038472021 3
 
0.7%
212634.191250352 3
 
0.7%
213593.137875629 3
 
0.7%
211838.83247022 3
 
0.7%
214830.790078856 3
 
0.7%
211281.630342788 3
 
0.7%
214953.780958725 3
 
0.7%
214687.925330994 3
 
0.7%
Other values (331) 391
90.5%
(Missing) 9
 
2.1%
ValueCountFrequency (%)
210558.095600946 1
0.2%
210566.875626134 2
0.5%
210587.488645319 2
0.5%
210593.916409818 1
0.2%
210640.975540871 2
0.5%
210657.904424574 1
0.2%
210694.989265395 1
0.2%
210743.558372385 1
0.2%
210754.096847062 1
0.2%
210794.699199534 1
0.2%
ValueCountFrequency (%)
215966.729045494 1
0.2%
215927.688523964 1
0.2%
215915.644224677 1
0.2%
215898.113091143 1
0.2%
215884.426023533 2
0.5%
215875.024969 2
0.5%
215844.448775419 1
0.2%
215722.425040339 1
0.2%
215705.162771801 1
0.2%
215687.672374226 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)80.6%
Missing9
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean449309.14
Minimum446408.47
Maximum452479.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:37:51.052047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446408.47
5-th percentile447299.23
Q1448245.02
median449518.91
Q3450215.85
95-th percentile451295.15
Maximum452479.04
Range6070.568
Interquartile range (IQR)1970.8318

Descriptive statistics

Standard deviation1295.1364
Coefficient of variation (CV)0.0028825061
Kurtosis-0.60084951
Mean449309.14
Median Absolute Deviation (MAD)887.10012
Skewness-0.020628873
Sum1.9005777 × 108
Variance1677378.2
MonotonicityNot monotonic
2024-05-11T14:37:51.312708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448245.019790445 4
 
0.9%
449636.964226068 4
 
0.9%
448058.444155867 3
 
0.7%
449540.492445005 3
 
0.7%
450274.382514974 3
 
0.7%
450406.012089157 3
 
0.7%
450337.049756183 3
 
0.7%
449888.074494844 3
 
0.7%
449635.686071108 3
 
0.7%
450626.949692536 3
 
0.7%
Other values (331) 391
90.5%
(Missing) 9
 
2.1%
ValueCountFrequency (%)
446408.470922092 1
0.2%
446658.176478064 1
0.2%
446745.460398406 1
0.2%
446753.841167447 1
0.2%
446755.547655259 1
0.2%
446802.750253195 1
0.2%
446851.325224794 2
0.5%
446882.690089639 1
0.2%
446899.094121557 2
0.5%
446913.918246052 1
0.2%
ValueCountFrequency (%)
452479.038895109 3
0.7%
452372.160878349 1
 
0.2%
452305.723682264 1
 
0.2%
452152.024544351 1
 
0.2%
452107.257532 2
0.5%
452052.025388385 1
 
0.2%
452042.723062516 1
 
0.2%
451912.595090289 1
 
0.2%
451895.517904183 2
0.5%
451892.203324008 1
 
0.2%

위생업태명
Categorical

Distinct10
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
137 
어린이집
131 
집단급식소
70 
학교
25 
병원
22 
Other values (5)
47 

Length

Max length8
Median length4
Mean length4.0347222
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
31.7%
어린이집 131
30.3%
집단급식소 70
16.2%
학교 25
 
5.8%
병원 22
 
5.1%
사회복지시설 20
 
4.6%
산업체 14
 
3.2%
공공기관 9
 
2.1%
기타 집단급식소 3
 
0.7%
산후조리원 1
 
0.2%

Length

2024-05-11T14:37:51.560914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:51.801044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
31.5%
어린이집 131
30.1%
집단급식소 73
16.8%
학교 25
 
5.7%
병원 22
 
5.1%
사회복지시설 20
 
4.6%
산업체 14
 
3.2%
공공기관 9
 
2.1%
기타 3
 
0.7%
산후조리원 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
373 
0
53 
1
 
4
2
 
2

Length

Max length4
Median length4
Mean length3.5902778
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 373
86.3%
0 53
 
12.3%
1 4
 
0.9%
2 2
 
0.5%

Length

2024-05-11T14:37:52.044831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:52.224766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
86.3%
0 53
 
12.3%
1 4
 
0.9%
2 2
 
0.5%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.9%
Missing373
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean1.1694915
Minimum0
Maximum13
Zeros44
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:37:52.363390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.4715801
Coefficient of variation (CV)2.1133801
Kurtosis8.9056443
Mean1.1694915
Median Absolute Deviation (MAD)0
Skewness2.7417651
Sum69
Variance6.1087084
MonotonicityNot monotonic
2024-05-11T14:37:52.526033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 44
 
10.2%
3 6
 
1.4%
7 3
 
0.7%
2 2
 
0.5%
4 2
 
0.5%
5 1
 
0.2%
13 1
 
0.2%
(Missing) 373
86.3%
ValueCountFrequency (%)
0 44
10.2%
2 2
 
0.5%
3 6
 
1.4%
4 2
 
0.5%
5 1
 
0.2%
7 3
 
0.7%
13 1
 
0.2%
ValueCountFrequency (%)
13 1
 
0.2%
7 3
 
0.7%
5 1
 
0.2%
4 2
 
0.5%
3 6
 
1.4%
2 2
 
0.5%
0 44
10.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
369 
기타
38 
주택가주변
 
12
학교정화(절대)
 
8
학교정화(상대)
 
3

Length

Max length8
Median length4
Mean length3.9722222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학교정화(절대)
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 369
85.4%
기타 38
 
8.8%
주택가주변 12
 
2.8%
학교정화(절대) 8
 
1.9%
학교정화(상대) 3
 
0.7%
유흥업소밀집지역 2
 
0.5%

Length

2024-05-11T14:37:52.745585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:52.963199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 369
85.4%
기타 38
 
8.8%
주택가주변 12
 
2.8%
학교정화(절대 8
 
1.9%
학교정화(상대 3
 
0.7%
유흥업소밀집지역 2
 
0.5%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
369 
기타
54 
자율
 
9

Length

Max length4
Median length4
Mean length3.7083333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 369
85.4%
기타 54
 
12.5%
자율 9
 
2.1%

Length

2024-05-11T14:37:53.219696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:53.481973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 369
85.4%
기타 54
 
12.5%
자율 9
 
2.1%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
234 
상수도전용
197 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.4861111
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row상수도전용
2nd row상수도전용
3rd row상수도(음용)지하수(주방용)겸용
4th row상수도전용
5th row상수도전용

Common Values

ValueCountFrequency (%)
<NA> 234
54.2%
상수도전용 197
45.6%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

Length

2024-05-11T14:37:53.737772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:53.924620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 234
54.2%
상수도전용 197
45.6%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
426 
0
 
6

Length

Max length4
Median length4
Mean length3.9583333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 426
98.6%
0 6
 
1.4%

Length

2024-05-11T14:37:54.121931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:54.290145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 426
98.6%
0 6
 
1.4%

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
238 
0
190 
7
 
1
9
 
1
14
 
1

Length

Max length4
Median length4
Mean length2.6550926
Min length1

Unique

Unique4 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 238
55.1%
0 190
44.0%
7 1
 
0.2%
9 1
 
0.2%
14 1
 
0.2%
1 1
 
0.2%

Length

2024-05-11T14:37:54.478929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:54.692874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
55.1%
0 190
44.0%
7 1
 
0.2%
9 1
 
0.2%
14 1
 
0.2%
1 1
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
426 
0
 
6

Length

Max length4
Median length4
Mean length3.9583333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 426
98.6%
0 6
 
1.4%

Length

2024-05-11T14:37:55.305414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:55.523778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 426
98.6%
0 6
 
1.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
426 
0
 
6

Length

Max length4
Median length4
Mean length3.9583333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 426
98.6%
0 6
 
1.4%

Length

2024-05-11T14:37:55.765839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:56.029972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 426
98.6%
0 6
 
1.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
426 
0
 
6

Length

Max length4
Median length4
Mean length3.9583333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 426
98.6%
0 6
 
1.4%

Length

2024-05-11T14:37:56.258161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:56.465974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 426
98.6%
0 6
 
1.4%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
414 
자가
 
15
임대
 
3

Length

Max length4
Median length4
Mean length3.9166667
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> 414
95.8%
자가 15
 
3.5%
임대 3
 
0.7%

Length

2024-05-11T14:37:56.712991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:56.943901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 414
95.8%
자가 15
 
3.5%
임대 3
 
0.7%

보증액
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
275 
0
157 

Length

Max length4
Median length4
Mean length2.9097222
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 275
63.7%
0 157
36.3%

Length

2024-05-11T14:37:57.298235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:57.490694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 275
63.7%
0 157
36.3%

월세액
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
275 
0
157 

Length

Max length4
Median length4
Mean length2.9097222
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 275
63.7%
0 157
36.3%

Length

2024-05-11T14:37:57.783191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.006700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 275
63.7%
0 157
36.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing137
Missing (%)31.7%
Memory size996.0 B
False
295 
(Missing)
137 
ValueCountFrequency (%)
False 295
68.3%
(Missing) 137
31.7%
2024-05-11T14:37:58.147474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct166
Distinct (%)56.3%
Missing137
Missing (%)31.7%
Infinite0
Infinite (%)0.0%
Mean80.451085
Minimum0
Maximum1483
Zeros91
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T14:37:58.327511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.2
Q398.34
95-th percentile381.81
Maximum1483
Range1483
Interquartile range (IQR)98.34

Descriptive statistics

Standard deviation161.63794
Coefficient of variation (CV)2.0091455
Kurtosis24.56811
Mean80.451085
Median Absolute Deviation (MAD)13.2
Skewness4.1594546
Sum23733.07
Variance26126.823
MonotonicityNot monotonic
2024-05-11T14:37:58.575305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
21.1%
13.2 10
 
2.3%
9.9 4
 
0.9%
6.6 4
 
0.9%
16.5 4
 
0.9%
7.9 3
 
0.7%
98.0 3
 
0.7%
19.8 3
 
0.7%
20.0 2
 
0.5%
130.0 2
 
0.5%
Other values (156) 169
39.1%
(Missing) 137
31.7%
ValueCountFrequency (%)
0.0 91
21.1%
3.3 2
 
0.5%
4.1 1
 
0.2%
5.0 1
 
0.2%
5.3 1
 
0.2%
5.4 1
 
0.2%
5.5 1
 
0.2%
6.0 2
 
0.5%
6.5 2
 
0.5%
6.6 4
 
0.9%
ValueCountFrequency (%)
1483.0 1
0.2%
861.81 1
0.2%
855.6 1
0.2%
823.0 1
0.2%
805.0 1
0.2%
514.2 1
0.2%
512.6 1
0.2%
466.72 1
0.2%
459.7 1
0.2%
450.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing432
Missing (%)100.0%
Memory size3.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032400003240000-105-1899-0007319991019<NA>1영업/정상1영업<NA><NA><NA><NA>02 34268086281.37134803서울특별시 강동구 고덕동 297-0서울특별시 강동구 고덕로 295-59 (고덕동)5225한국구화학교2021-12-20 11:58:16U2021-12-22 02:40:00.0학교213979.48551450677.533442학교03학교정화(절대)기타상수도전용00000<NA>00N357.53<NA><NA><NA>
132400003240000-105-1972-0001119720619<NA>1영업/정상1영업<NA><NA><NA><NA>02 478293933.84134861서울특별시 강동구 천호동 26-18번지서울특별시 강동구 구천면로68길 46 (천호동)5306명진들꽃사랑마을2019-05-23 15:49:01U2019-05-25 02:40:00.0사회복지시설212535.550032449601.844884사회복지시설00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N121.41<NA><NA><NA>
232400003240000-105-1979-0002819790321<NA>1영업/정상1영업<NA><NA><NA><NA>02 428087020.80134803서울특별시 강동구 고덕동 298번지서울특별시 강동구 고덕로 295-45 (고덕동)5225(사회복지재단)우성재단2017-01-10 13:29:43I2018-08-31 23:59:59.0사회복지시설213956.591228450611.416254사회복지시설00기타기타상수도(음용)지하수(주방용)겸용<NA><NA><NA><NA><NA><NA><NA><NA>N128.05<NA><NA><NA>
332400003240000-105-1985-0001019850101<NA>1영업/정상1영업<NA><NA><NA><NA>02 427973422.78134837서울특별시 강동구 상일동 179-0번지서울특별시 강동구 상암로 369 (상일동)5280주몽재활원2020-01-08 09:09:16U2020-01-10 02:40:00.0사회복지시설214391.007483449338.439222사회복지시설00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N114.57<NA><NA><NA>
432400003240000-105-1989-0002019891105<NA>3폐업2폐업20020903<NA><NA><NA>022224812862.94134848서울특별시 강동구 성내동 451-0번지<NA><NA>축협중앙회노동조합소비조합2000-11-01 00:00:00I2018-08-31 23:59:59.0집단급식소210566.875626447402.629676집단급식소00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N514.2<NA><NA><NA>
532400003240000-105-1990-000211990-04-11<NA>1영업/정상1영업<NA><NA><NA><NA>0222242141362.36134-814서울특별시 강동구 길동 445-0서울특별시 강동구 성안로 150 (길동)5355강동성심병원구내식당2023-06-23 11:34:34U2022-12-05 22:05:00.0병원211883.688356448216.574876<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
632400003240000-105-1990-0002219900424<NA>3폐업2폐업19960626<NA><NA><NA>02 488733334.92134877서울특별시 강동구 암사동 510-10번지<NA><NA>씨엔드에치구내식당2002-06-06 00:00:00I2018-08-31 23:59:59.0집단급식소210892.714395449880.917833집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N99.6<NA><NA><NA>
732400003240000-105-1990-000231990-05-08<NA>3폐업2폐업2023-02-06<NA><NA><NA>02 470121299.00134-869서울특별시 강동구 천호동 357-0서울특별시 강동구 올림픽로 684 (천호동)5327친구병원 구내식당2023-02-06 13:28:04U2022-12-02 00:08:00.0병원211004.466691448897.237548<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
832400003240000-105-1990-0002419900524<NA>1영업/정상1영업<NA><NA><NA><NA>02 441556488.00134878서울특별시 강동구 고덕동 317-1번지서울특별시 강동구 고덕로 183 (고덕동)5235서울특별시 동부기술교육원2018-09-17 20:50:56U2018-09-17 23:59:59.0공공기관212761.96151450443.942304공공기관00학교정화(상대)자율상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N287.1<NA><NA><NA>
932400003240000-105-1990-0002519900604<NA>1영업/정상1영업<NA><NA><NA><NA>02 441888650.00134878서울특별시 강동구 고덕동 317-23번지서울특별시 강동구 고덕로 199 (고덕동)5235시립고덕양로원2019-06-10 10:01:53U2019-06-12 02:40:00.0사회복지시설212927.396077450372.345388사회복지시설00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N282.75<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
42232400003240000-105-2023-000042023-09-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>608.64134-800서울특별시 강동구 고덕동 93-2 디엠스퀘어서울특별시 강동구 고덕비즈밸리로4길 35, 디엠스퀘어 지1층 (고덕동)5203(주)동명기술공단 종합건축사사무소2023-09-01 15:53:44I2022-12-09 00:03:00.0산업체214087.232228451723.477157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42332400003240000-105-2023-000052023-12-19<NA>1영업/정상1영업<NA><NA><NA><NA>02 4412302112.23134-878서울특별시 강동구 고덕동 317-23 시립고덕양로원서울특별시 강동구 고덕로 185, 시립강동실버케어센터 (고덕동)<NA>시립강동실버케어센터2023-12-19 17:00:43I2022-11-01 22:01:00.0사회복지시설212927.396077450372.345388<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42432400003240000-105-2024-000012024-01-19<NA>1영업/정상1영업<NA><NA><NA><NA>02 4261201199.42134-100서울특별시 강동구 강일동 72 힐스테이트 리슈빌 강일서울특별시 강동구 아리수로93다길 80, 1층 (강일동, 힐스테이트 리슈빌 강일)5414구립꿈이랑어린이집2024-01-22 10:05:02U2023-11-30 22:04:00.0어린이집215361.02218452372.160878<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42532400003240000-105-2024-000022024-01-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>284.26134-800서울특별시 강동구 고덕동 98-6 에이스메디칼타워서울특별시 강동구 고덕비즈밸리로4길 30, 에이스메디칼타워 B1,9~14층 (고덕동)5203에이스메디칼(주)2024-01-22 16:25:01I2023-11-30 22:04:00.0산업체214103.557154451614.026874<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42632400003240000-105-2024-000032024-01-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>339.00134-080서울특별시 강동구 고덕동 0서울특별시 강동구 고덕비즈밸리로2가길 27 (고덕동)5203(주)일화2024-01-30 13:50:34I2023-12-02 00:01:00.0산업체<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42732400003240000-105-2024-000052024-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.65134-800서울특별시 강동구 고덕동 136 고덕풍경채어바니티서울특별시 강동구 아리수로 375, 101동 1층 (고덕동, 고덕풍경채어바니티)5206구립풍경채어린이집2024-03-20 16:57:52I2023-12-02 22:02:00.0어린이집214895.687626451187.453319<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42832400003240000-105-2024-000062024-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.00134-090서울특별시 강동구 상일동 554-38 e편한세상 고덕 어반브릿지서울특별시 강동구 고덕로98길 75, 1층 (상일동, e편한세상 고덕 어반브릿지)5416구립어반어린이집2024-03-20 17:16:02I2023-12-02 22:02:00.0어린이집215915.644225450375.878785<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42932400003240000-105-2024-000072024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>197.00134-803서울특별시 강동구 고덕동 302 강동구청자재창고서울특별시 강동구 동남로 942, 강동구청 고덕별관 (고덕동)5225강동구청 고덕별관 구내식당2024-04-17 11:27:24I2023-12-03 23:09:00.0공공기관213786.937239450663.137697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43032400003240000-105-2024-000082024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>259.70134-851서울특별시 강동구 성내동 322-9 스타빌딩서울특별시 강동구 올림픽로 564, 스타빌딩 2층 (성내동)5391스타비젼2024-04-30 13:55:36I2023-12-05 00:02:00.0산업체210657.904425447744.110717<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43132400003240000-105-2024-000092024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>430.00134-080서울특별시 강동구 고덕동 0서울특별시 강동구 고덕비즈밸리로2가길 12, 지1층 (고덕동)5203알서포트 주식회사2024-04-30 16:23:51I2023-12-05 00:02:00.0산업체<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>