Overview

Dataset statistics

Number of variables44
Number of observations435
Missing cells4168
Missing cells (%)21.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory159.4 KiB
Average record size in memory375.3 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18018/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (62.9%)Imbalance
등급구분명 is highly imbalanced (54.6%)Imbalance
총인원 is highly imbalanced (70.2%)Imbalance
공장사무직종업원수 is highly imbalanced (70.2%)Imbalance
공장판매직종업원수 is highly imbalanced (70.2%)Imbalance
공장생산직종업원수 is highly imbalanced (70.2%)Imbalance
건물소유구분명 is highly imbalanced (64.3%)Imbalance
인허가취소일자 has 435 (100.0%) missing valuesMissing
폐업일자 has 240 (55.2%) missing valuesMissing
휴업시작일자 has 435 (100.0%) missing valuesMissing
휴업종료일자 has 435 (100.0%) missing valuesMissing
재개업일자 has 435 (100.0%) missing valuesMissing
전화번호 has 25 (5.7%) missing valuesMissing
소재지면적 has 43 (9.9%) missing valuesMissing
도로명주소 has 62 (14.3%) missing valuesMissing
도로명우편번호 has 68 (15.6%) missing valuesMissing
좌표정보(X) has 8 (1.8%) missing valuesMissing
좌표정보(Y) has 8 (1.8%) missing valuesMissing
여성종사자수 has 343 (78.9%) missing valuesMissing
본사종업원수 has 197 (45.3%) missing valuesMissing
다중이용업소여부 has 64 (14.7%) missing valuesMissing
시설총규모 has 64 (14.7%) missing valuesMissing
전통업소지정번호 has 435 (100.0%) missing valuesMissing
전통업소주된음식 has 435 (100.0%) missing valuesMissing
홈페이지 has 435 (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 59 (13.6%) zerosZeros
본사종업원수 has 227 (52.2%) zerosZeros
시설총규모 has 103 (23.7%) zerosZeros

Reproduction

Analysis started2024-04-06 09:59:28.139188
Analysis finished2024-04-06 09:59:29.576999
Duration1.44 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
3160000
435 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 435
100.0%

Length

2024-04-06T18:59:29.699367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:29.985719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 435
100.0%

관리번호
Text

UNIQUE 

Distinct435
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-06T18:59:30.309958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9570
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

Unique435 ?
Unique (%)100.0%

Sample

1st row3160000-105-1980-00001
2nd row3160000-105-1980-00002
3rd row3160000-105-1980-00003
4th row3160000-105-1980-00004
5th row3160000-105-1980-00005
ValueCountFrequency (%)
3160000-105-1980-00001 1
 
0.2%
3160000-105-2013-00002 1
 
0.2%
3160000-105-2013-00014 1
 
0.2%
3160000-105-2013-00013 1
 
0.2%
3160000-105-2013-00012 1
 
0.2%
3160000-105-2013-00011 1
 
0.2%
3160000-105-2013-00010 1
 
0.2%
3160000-105-2013-00009 1
 
0.2%
3160000-105-2013-00008 1
 
0.2%
3160000-105-2013-00007 1
 
0.2%
Other values (425) 425
97.7%
2024-04-06T18:59:30.911735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4293
44.9%
1 1311
 
13.7%
- 1305
 
13.6%
5 549
 
5.7%
3 542
 
5.7%
2 522
 
5.5%
6 511
 
5.3%
9 231
 
2.4%
4 119
 
1.2%
8 103
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8265
86.4%
Dash Punctuation 1305
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4293
51.9%
1 1311
 
15.9%
5 549
 
6.6%
3 542
 
6.6%
2 522
 
6.3%
6 511
 
6.2%
9 231
 
2.8%
4 119
 
1.4%
8 103
 
1.2%
7 84
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1305
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4293
44.9%
1 1311
 
13.7%
- 1305
 
13.6%
5 549
 
5.7%
3 542
 
5.7%
2 522
 
5.5%
6 511
 
5.3%
9 231
 
2.4%
4 119
 
1.2%
8 103
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4293
44.9%
1 1311
 
13.7%
- 1305
 
13.6%
5 549
 
5.7%
3 542
 
5.7%
2 522
 
5.5%
6 511
 
5.3%
9 231
 
2.4%
4 119
 
1.2%
8 103
 
1.1%
Distinct341
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1980-04-01 00:00:00
Maximum2024-02-28 00:00:00
2024-04-06T18:59:31.142342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:59:31.378642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
240 
3
195 

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 (%)
1 240
55.2%
3 195
44.8%

Length

2024-04-06T18:59:31.609495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:31.801996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 240
55.2%
3 195
44.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업/정상
240 
폐업
195 

Length

Max length5
Median length5
Mean length3.6551724
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 240
55.2%
폐업 195
44.8%

Length

2024-04-06T18:59:32.042200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:32.293609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 240
55.2%
폐업 195
44.8%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
240 
2
195 

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 (%)
1 240
55.2%
2 195
44.8%

Length

2024-04-06T18:59:32.459473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:32.657721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 240
55.2%
2 195
44.8%
Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업
240 
폐업
195 

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 240
55.2%
폐업 195
44.8%

Length

2024-04-06T18:59:32.914976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:33.109800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 240
55.2%
폐업 195
44.8%

폐업일자
Date

MISSING 

Distinct185
Distinct (%)94.9%
Missing240
Missing (%)55.2%
Memory size3.5 KiB
Minimum1998-03-27 00:00:00
Maximum2024-03-18 00:00:00
2024-04-06T18:59:33.382322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:59:33.679931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct380
Distinct (%)92.7%
Missing25
Missing (%)5.7%
Memory size3.5 KiB
2024-04-06T18:59:34.142254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.692683
Min length2

Characters and Unicode

Total characters4384
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

Unique357 ?
Unique (%)87.1%

Sample

1st row02 8678102
2nd row02 8566881
3rd row0226138001
4th row02 6103387
5th row02
ValueCountFrequency (%)
02 267
35.7%
070 7
 
0.9%
853 6
 
0.8%
857 6
 
0.8%
0 6
 
0.8%
863 5
 
0.7%
858 4
 
0.5%
866 4
 
0.5%
850 4
 
0.5%
8636 3
 
0.4%
Other values (404) 435
58.2%
2024-04-06T18:59:35.017642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 835
19.0%
0 754
17.2%
523
11.9%
6 460
10.5%
8 384
8.8%
1 343
7.8%
5 285
 
6.5%
3 243
 
5.5%
7 212
 
4.8%
9 174
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3861
88.1%
Space Separator 523
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 835
21.6%
0 754
19.5%
6 460
11.9%
8 384
9.9%
1 343
8.9%
5 285
 
7.4%
3 243
 
6.3%
7 212
 
5.5%
9 174
 
4.5%
4 171
 
4.4%
Space Separator
ValueCountFrequency (%)
523
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 835
19.0%
0 754
17.2%
523
11.9%
6 460
10.5%
8 384
8.8%
1 343
7.8%
5 285
 
6.5%
3 243
 
5.5%
7 212
 
4.8%
9 174
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 835
19.0%
0 754
17.2%
523
11.9%
6 460
10.5%
8 384
8.8%
1 343
7.8%
5 285
 
6.5%
3 243
 
5.5%
7 212
 
4.8%
9 174
 
4.0%

소재지면적
Text

MISSING 

Distinct242
Distinct (%)61.7%
Missing43
Missing (%)9.9%
Memory size3.5 KiB
2024-04-06T18:59:35.744077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.9336735
Min length3

Characters and Unicode

Total characters1934
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

Unique198 ?
Unique (%)50.5%

Sample

1st row.00
2nd row.00
3rd row.00
4th row.00
5th row.00
ValueCountFrequency (%)
00 56
 
14.3%
10.00 12
 
3.1%
8.00 8
 
2.0%
33.00 7
 
1.8%
15.00 7
 
1.8%
20.00 6
 
1.5%
30.00 5
 
1.3%
16.50 5
 
1.3%
9.90 4
 
1.0%
66.00 4
 
1.0%
Other values (232) 278
70.9%
2024-04-06T18:59:36.692326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 558
28.9%
. 392
20.3%
1 216
 
11.2%
2 117
 
6.0%
3 111
 
5.7%
6 103
 
5.3%
5 101
 
5.2%
4 100
 
5.2%
8 91
 
4.7%
9 77
 
4.0%
Other values (2) 68
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1539
79.6%
Other Punctuation 395
 
20.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 558
36.3%
1 216
 
14.0%
2 117
 
7.6%
3 111
 
7.2%
6 103
 
6.7%
5 101
 
6.6%
4 100
 
6.5%
8 91
 
5.9%
9 77
 
5.0%
7 65
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 392
99.2%
, 3
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1934
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 558
28.9%
. 392
20.3%
1 216
 
11.2%
2 117
 
6.0%
3 111
 
5.7%
6 103
 
5.3%
5 101
 
5.2%
4 100
 
5.2%
8 91
 
4.7%
9 77
 
4.0%
Other values (2) 68
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 558
28.9%
. 392
20.3%
1 216
 
11.2%
2 117
 
6.0%
3 111
 
5.7%
6 103
 
5.3%
5 101
 
5.2%
4 100
 
5.2%
8 91
 
4.7%
9 77
 
4.0%
Other values (2) 68
 
3.5%
Distinct123
Distinct (%)28.3%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
2024-04-06T18:59:37.211832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0714286
Min length6

Characters and Unicode

Total characters2635
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

Unique53 ?
Unique (%)12.2%

Sample

1st row152847
2nd row152848
3rd row152815
4th row152895
5th row152848
ValueCountFrequency (%)
152848 35
 
8.1%
152130 23
 
5.3%
152140 17
 
3.9%
152887 15
 
3.5%
152826 14
 
3.2%
152838 12
 
2.8%
152883 12
 
2.8%
152847 10
 
2.3%
152800 10
 
2.3%
152868 10
 
2.3%
Other values (113) 276
63.6%
2024-04-06T18:59:37.966352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 538
20.4%
2 503
19.1%
5 480
18.2%
8 478
18.1%
0 170
 
6.5%
4 120
 
4.6%
3 83
 
3.1%
9 81
 
3.1%
7 77
 
2.9%
6 74
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2604
98.8%
Dash Punctuation 31
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 538
20.7%
2 503
19.3%
5 480
18.4%
8 478
18.4%
0 170
 
6.5%
4 120
 
4.6%
3 83
 
3.2%
9 81
 
3.1%
7 77
 
3.0%
6 74
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 538
20.4%
2 503
19.1%
5 480
18.2%
8 478
18.1%
0 170
 
6.5%
4 120
 
4.6%
3 83
 
3.1%
9 81
 
3.1%
7 77
 
2.9%
6 74
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 538
20.4%
2 503
19.1%
5 480
18.2%
8 478
18.1%
0 170
 
6.5%
4 120
 
4.6%
3 83
 
3.1%
9 81
 
3.1%
7 77
 
2.9%
6 74
 
2.8%
Distinct407
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-06T18:59:38.586816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length26.002299
Min length6

Characters and Unicode

Total characters11311
Distinct characters249
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

Unique382 ?
Unique (%)87.8%

Sample

1st row서울특별시 구로구 구로동 170-12번지 0000동 0000호
2nd row서울특별시 구로구 구로동 235-2번지 0000동 0000호
3rd row서울특별시 구로구 개봉동 353-2
4th row서울특별시 구로구 오류동 123-0번지 0000동 0000호
5th row서울특별시 구로구 구로동 197-33번지 0000동 0000호
ValueCountFrequency (%)
서울특별시 434
20.7%
구로구 434
20.7%
구로동 162
 
7.7%
개봉동 52
 
2.5%
고척동 51
 
2.4%
오류동 46
 
2.2%
신도림동 29
 
1.4%
0000동 27
 
1.3%
0000호 27
 
1.3%
천왕동 25
 
1.2%
Other values (598) 811
38.7%
2024-04-06T18:59:39.360367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2001
17.7%
1053
 
9.3%
615
 
5.4%
503
 
4.4%
450
 
4.0%
446
 
3.9%
440
 
3.9%
439
 
3.9%
434
 
3.8%
1 415
 
3.7%
Other values (239) 4515
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6847
60.5%
Decimal Number 2079
 
18.4%
Space Separator 2001
 
17.7%
Dash Punctuation 348
 
3.1%
Uppercase Letter 12
 
0.1%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Other Punctuation 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1053
15.4%
615
 
9.0%
503
 
7.3%
450
 
6.6%
446
 
6.5%
440
 
6.4%
439
 
6.4%
434
 
6.3%
341
 
5.0%
285
 
4.2%
Other values (214) 1841
26.9%
Decimal Number
ValueCountFrequency (%)
1 415
20.0%
0 366
17.6%
2 281
13.5%
3 208
10.0%
5 171
8.2%
6 153
 
7.4%
7 139
 
6.7%
4 138
 
6.6%
8 111
 
5.3%
9 97
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
16.7%
I 2
16.7%
T 2
16.7%
B 2
16.7%
S 1
8.3%
K 1
8.3%
C 1
8.3%
N 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
? 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 348
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6847
60.5%
Common 4452
39.4%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1053
15.4%
615
 
9.0%
503
 
7.3%
450
 
6.6%
446
 
6.5%
440
 
6.4%
439
 
6.4%
434
 
6.3%
341
 
5.0%
285
 
4.2%
Other values (214) 1841
26.9%
Common
ValueCountFrequency (%)
2001
44.9%
1 415
 
9.3%
0 366
 
8.2%
- 348
 
7.8%
2 281
 
6.3%
3 208
 
4.7%
5 171
 
3.8%
6 153
 
3.4%
7 139
 
3.1%
4 138
 
3.1%
Other values (7) 232
 
5.2%
Latin
ValueCountFrequency (%)
A 2
16.7%
I 2
16.7%
T 2
16.7%
B 2
16.7%
S 1
8.3%
K 1
8.3%
C 1
8.3%
N 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6847
60.5%
ASCII 4464
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2001
44.8%
1 415
 
9.3%
0 366
 
8.2%
- 348
 
7.8%
2 281
 
6.3%
3 208
 
4.7%
5 171
 
3.8%
6 153
 
3.4%
7 139
 
3.1%
4 138
 
3.1%
Other values (15) 244
 
5.5%
Hangul
ValueCountFrequency (%)
1053
15.4%
615
 
9.0%
503
 
7.3%
450
 
6.6%
446
 
6.5%
440
 
6.4%
439
 
6.4%
434
 
6.3%
341
 
5.0%
285
 
4.2%
Other values (214) 1841
26.9%

도로명주소
Text

MISSING 

Distinct353
Distinct (%)94.6%
Missing62
Missing (%)14.3%
Memory size3.5 KiB
2024-04-06T18:59:39.847382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length30.324397
Min length20

Characters and Unicode

Total characters11311
Distinct characters257
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

Unique336 ?
Unique (%)90.1%

Sample

1st row서울특별시 구로구 개봉로 126 (개봉동)
2nd row서울특별시 구로구 천왕로2길 45, 0000동 0000호 (천왕동)
3rd row서울특별시 구로구 구로동로 148 (구로동,신관+본관 지하1,2층)
4th row서울특별시 구로구 경인로 518 (구로동)
5th row서울특별시 구로구 경인로 445 (고척동, 동양미래대학교(3호관))
ValueCountFrequency (%)
서울특별시 373
 
17.3%
구로구 373
 
17.3%
구로동 111
 
5.1%
고척동 42
 
1.9%
오류동 41
 
1.9%
개봉동 40
 
1.9%
경인로 29
 
1.3%
1층 27
 
1.3%
천왕동 23
 
1.1%
신도림동 20
 
0.9%
Other values (559) 1077
50.0%
2024-04-06T18:59:40.578403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1784
 
15.8%
931
 
8.2%
917
 
8.1%
461
 
4.1%
393
 
3.5%
( 383
 
3.4%
) 383
 
3.4%
383
 
3.4%
381
 
3.4%
377
 
3.3%
Other values (247) 4918
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6936
61.3%
Space Separator 1784
 
15.8%
Decimal Number 1548
 
13.7%
Open Punctuation 383
 
3.4%
Close Punctuation 383
 
3.4%
Other Punctuation 209
 
1.8%
Dash Punctuation 52
 
0.5%
Uppercase Letter 12
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
931
 
13.4%
917
 
13.2%
461
 
6.6%
393
 
5.7%
383
 
5.5%
381
 
5.5%
377
 
5.4%
373
 
5.4%
213
 
3.1%
96
 
1.4%
Other values (220) 2411
34.8%
Decimal Number
ValueCountFrequency (%)
1 356
23.0%
2 250
16.1%
3 156
10.1%
0 143
9.2%
4 130
 
8.4%
7 117
 
7.6%
5 117
 
7.6%
8 96
 
6.2%
6 94
 
6.1%
9 89
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
33.3%
A 2
16.7%
S 1
 
8.3%
I 1
 
8.3%
T 1
 
8.3%
N 1
 
8.3%
K 1
 
8.3%
C 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 208
99.5%
? 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
1784
100.0%
Open Punctuation
ValueCountFrequency (%)
( 383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6936
61.3%
Common 4362
38.6%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
931
 
13.4%
917
 
13.2%
461
 
6.6%
393
 
5.7%
383
 
5.5%
381
 
5.5%
377
 
5.4%
373
 
5.4%
213
 
3.1%
96
 
1.4%
Other values (220) 2411
34.8%
Common
ValueCountFrequency (%)
1784
40.9%
( 383
 
8.8%
) 383
 
8.8%
1 356
 
8.2%
2 250
 
5.7%
, 208
 
4.8%
3 156
 
3.6%
0 143
 
3.3%
4 130
 
3.0%
7 117
 
2.7%
Other values (8) 452
 
10.4%
Latin
ValueCountFrequency (%)
B 4
30.8%
A 2
15.4%
S 1
 
7.7%
b 1
 
7.7%
I 1
 
7.7%
T 1
 
7.7%
N 1
 
7.7%
K 1
 
7.7%
C 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6936
61.3%
ASCII 4375
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1784
40.8%
( 383
 
8.8%
) 383
 
8.8%
1 356
 
8.1%
2 250
 
5.7%
, 208
 
4.8%
3 156
 
3.6%
0 143
 
3.3%
4 130
 
3.0%
7 117
 
2.7%
Other values (17) 465
 
10.6%
Hangul
ValueCountFrequency (%)
931
 
13.4%
917
 
13.2%
461
 
6.6%
393
 
5.7%
383
 
5.5%
381
 
5.5%
377
 
5.4%
373
 
5.4%
213
 
3.1%
96
 
1.4%
Other values (220) 2411
34.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct147
Distinct (%)40.1%
Missing68
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean8300.545
Minimum8200
Maximum8395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-06T18:59:40.814413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8200
5-th percentile8209.3
Q18253.5
median8299
Q38353
95-th percentile8387.1
Maximum8395
Range195
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation56.59078
Coefficient of variation (CV)0.0068177187
Kurtosis-1.2112691
Mean8300.545
Median Absolute Deviation (MAD)50
Skewness-0.049554028
Sum3046300
Variance3202.5164
MonotonicityNot monotonic
2024-04-06T18:59:41.110289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8368 9
 
2.1%
8227 8
 
1.8%
8350 8
 
1.8%
8275 8
 
1.8%
8375 7
 
1.6%
8249 7
 
1.6%
8272 7
 
1.6%
8395 7
 
1.6%
8365 7
 
1.6%
8317 6
 
1.4%
Other values (137) 293
67.4%
(Missing) 68
 
15.6%
ValueCountFrequency (%)
8200 2
0.5%
8201 2
0.5%
8202 3
0.7%
8203 3
0.7%
8205 1
 
0.2%
8206 1
 
0.2%
8207 1
 
0.2%
8208 3
0.7%
8209 3
0.7%
8210 1
 
0.2%
ValueCountFrequency (%)
8395 7
1.6%
8393 1
 
0.2%
8392 4
0.9%
8390 1
 
0.2%
8389 5
1.1%
8388 1
 
0.2%
8385 1
 
0.2%
8384 1
 
0.2%
8383 1
 
0.2%
8382 1
 
0.2%
Distinct388
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-06T18:59:41.505555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length8.062069
Min length3

Characters and Unicode

Total characters3507
Distinct characters342
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)80.5%

Sample

1st row체성회
2nd row(주)오트론
3rd row구로다나병원
4th row동부제강(주)
5th row(주)한창
ValueCountFrequency (%)
구립 25
 
4.6%
어린이집 17
 
3.1%
주식회사 6
 
1.1%
의료법인 5
 
0.9%
구로삼성어린이집 4
 
0.7%
호산나어린이집 4
 
0.7%
궁동종합사회복지관 3
 
0.6%
남부효요양병원 3
 
0.6%
요셉어린이집 3
 
0.6%
희망어린이집 3
 
0.6%
Other values (417) 469
86.5%
2024-04-06T18:59:42.056482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
 
5.8%
180
 
5.1%
171
 
4.9%
171
 
4.9%
107
 
3.1%
92
 
2.6%
85
 
2.4%
74
 
2.1%
73
 
2.1%
73
 
2.1%
Other values (332) 2276
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3260
93.0%
Space Separator 107
 
3.1%
Close Punctuation 61
 
1.7%
Open Punctuation 61
 
1.7%
Uppercase Letter 17
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
205
 
6.3%
180
 
5.5%
171
 
5.2%
171
 
5.2%
92
 
2.8%
85
 
2.6%
74
 
2.3%
73
 
2.2%
73
 
2.2%
52
 
1.6%
Other values (316) 2084
63.9%
Uppercase Letter
ValueCountFrequency (%)
G 3
17.6%
I 3
17.6%
K 2
11.8%
C 1
 
5.9%
N 1
 
5.9%
L 1
 
5.9%
V 1
 
5.9%
P 1
 
5.9%
B 1
 
5.9%
A 1
 
5.9%
Other values (2) 2
11.8%
Space Separator
ValueCountFrequency (%)
107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3260
93.0%
Common 230
 
6.6%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
205
 
6.3%
180
 
5.5%
171
 
5.2%
171
 
5.2%
92
 
2.8%
85
 
2.6%
74
 
2.3%
73
 
2.2%
73
 
2.2%
52
 
1.6%
Other values (316) 2084
63.9%
Latin
ValueCountFrequency (%)
G 3
17.6%
I 3
17.6%
K 2
11.8%
C 1
 
5.9%
N 1
 
5.9%
L 1
 
5.9%
V 1
 
5.9%
P 1
 
5.9%
B 1
 
5.9%
A 1
 
5.9%
Other values (2) 2
11.8%
Common
ValueCountFrequency (%)
107
46.5%
) 61
26.5%
( 61
26.5%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3260
93.0%
ASCII 247
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
205
 
6.3%
180
 
5.5%
171
 
5.2%
171
 
5.2%
92
 
2.8%
85
 
2.6%
74
 
2.3%
73
 
2.2%
73
 
2.2%
52
 
1.6%
Other values (316) 2084
63.9%
ASCII
ValueCountFrequency (%)
107
43.3%
) 61
24.7%
( 61
24.7%
G 3
 
1.2%
I 3
 
1.2%
K 2
 
0.8%
C 1
 
0.4%
N 1
 
0.4%
L 1
 
0.4%
V 1
 
0.4%
Other values (6) 6
 
2.4%
Distinct413
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2001-09-26 00:00:00
Maximum2024-03-18 16:21:27
2024-04-06T18:59:42.289960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:59:42.878466image/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
I
247 
U
188 

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 247
56.8%
U 188
43.2%

Length

2024-04-06T18:59:43.096405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:43.271073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 247
56.8%
u 188
43.2%
Distinct175
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:01:00
2024-04-06T18:59:43.472186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:59:43.701806image/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
178 
집단급식소
93 
학교
59 
산업체
35 
병원
33 
Other values (4)
37 

Length

Max length8
Median length6
Mean length3.816092
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 178
40.9%
집단급식소 93
21.4%
학교 59
 
13.6%
산업체 35
 
8.0%
병원 33
 
7.6%
사회복지시설 22
 
5.1%
공공기관 12
 
2.8%
기숙사 2
 
0.5%
기타 집단급식소 1
 
0.2%

Length

2024-04-06T18:59:43.946775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:44.185255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 178
40.8%
집단급식소 94
21.6%
학교 59
 
13.5%
산업체 35
 
8.0%
병원 33
 
7.6%
사회복지시설 22
 
5.0%
공공기관 12
 
2.8%
기숙사 2
 
0.5%
기타 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct326
Distinct (%)76.3%
Missing8
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean188109.57
Minimum183615.73
Maximum191118.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-06T18:59:44.425646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183615.73
5-th percentile184507.82
Q1186200.42
median188114.4
Q3190143.15
95-th percentile190750.54
Maximum191118.29
Range7502.5562
Interquartile range (IQR)3942.7324

Descriptive statistics

Standard deviation2143.0559
Coefficient of variation (CV)0.011392594
Kurtosis-1.2757067
Mean188109.57
Median Absolute Deviation (MAD)2006.155
Skewness-0.31226328
Sum80322786
Variance4592688.6
MonotonicityNot monotonic
2024-04-06T18:59:44.717278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190588.908625988 5
 
1.1%
186221.399504923 5
 
1.1%
190594.904645635 4
 
0.9%
186200.421784557 4
 
0.9%
189529.208856197 4
 
0.9%
189429.048647983 4
 
0.9%
190504.7782409 4
 
0.9%
184874.479510795 3
 
0.7%
189995.347071014 3
 
0.7%
189581.72513651 3
 
0.7%
Other values (316) 388
89.2%
(Missing) 8
 
1.8%
ValueCountFrequency (%)
183615.733114922 1
0.2%
183776.612379101 1
0.2%
183777.397432529 1
0.2%
183900.70130692 1
0.2%
184035.703306788 1
0.2%
184086.012717196 1
0.2%
184103.718488054 2
0.5%
184118.294233206 1
0.2%
184119.835268961 1
0.2%
184182.990548393 1
0.2%
ValueCountFrequency (%)
191118.289291823 2
0.5%
191037.399319209 1
0.2%
191020.264430044 1
0.2%
190990.955753109 1
0.2%
190987.661570042 1
0.2%
190942.617144908 1
0.2%
190919.498006713 1
0.2%
190916.203954821 1
0.2%
190901.977946718 2
0.5%
190887.117653337 2
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct326
Distinct (%)76.3%
Missing8
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean443484.07
Minimum441420.68
Maximum445795.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-06T18:59:45.131497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441420.68
5-th percentile442012.47
Q1442645.05
median443531.35
Q3444201.55
95-th percentile445124.54
Maximum445795.07
Range4374.3855
Interquartile range (IQR)1556.4972

Descriptive statistics

Standard deviation977.28334
Coefficient of variation (CV)0.0022036492
Kurtosis-0.86076083
Mean443484.07
Median Absolute Deviation (MAD)768.04455
Skewness0.12071899
Sum1.893677 × 108
Variance955082.72
MonotonicityNot monotonic
2024-04-06T18:59:45.378111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441873.504088439 5
 
1.1%
443684.776841826 5
 
1.1%
442261.654499191 4
 
0.9%
443388.521023744 4
 
0.9%
443234.165688241 4
 
0.9%
442763.309499636 4
 
0.9%
442154.992807483 4
 
0.9%
444112.669240981 3
 
0.7%
443682.330615552 3
 
0.7%
445430.97917589 3
 
0.7%
Other values (316) 388
89.2%
(Missing) 8
 
1.8%
ValueCountFrequency (%)
441420.680177262 1
0.2%
441623.716958891 1
0.2%
441635.530522399 1
0.2%
441663.933040535 1
0.2%
441675.376027035 1
0.2%
441747.018728828 1
0.2%
441773.484823975 2
0.5%
441811.482181569 1
0.2%
441855.148207011 1
0.2%
441868.707510887 2
0.5%
ValueCountFrequency (%)
445795.065707973 1
 
0.2%
445745.592395016 1
 
0.2%
445731.050329548 1
 
0.2%
445703.125761077 1
 
0.2%
445573.854384112 1
 
0.2%
445458.335742134 1
 
0.2%
445451.214350067 1
 
0.2%
445430.97917589 3
0.7%
445372.670602136 1
 
0.2%
445369.517787461 1
 
0.2%

위생업태명
Categorical

Distinct10
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
어린이집
153 
집단급식소
93 
<NA>
64 
학교
52 
병원
24 
Other values (5)
49 

Length

Max length8
Median length4
Mean length3.8965517
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 153
35.2%
집단급식소 93
21.4%
<NA> 64
14.7%
학교 52
 
12.0%
병원 24
 
5.5%
산업체 21
 
4.8%
사회복지시설 16
 
3.7%
공공기관 10
 
2.3%
기타 집단급식소 1
 
0.2%
기숙사 1
 
0.2%

Length

2024-04-06T18:59:45.603011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:45.856052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 153
35.1%
집단급식소 94
21.6%
na 64
14.7%
학교 52
 
11.9%
병원 24
 
5.5%
산업체 21
 
4.8%
사회복지시설 16
 
3.7%
공공기관 10
 
2.3%
기타 1
 
0.2%
기숙사 1
 
0.2%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
345 
0
75 
1
 
15

Length

Max length4
Median length4
Mean length3.3793103
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 345
79.3%
0 75
 
17.2%
1 15
 
3.4%

Length

2024-04-06T18:59:46.121610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:46.315535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
79.3%
0 75
 
17.2%
1 15
 
3.4%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)12.0%
Missing343
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean2.0543478
Minimum0
Maximum16
Zeros59
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-06T18:59:46.462765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.25
95-th percentile7.45
Maximum16
Range16
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.2049554
Coefficient of variation (CV)1.5600841
Kurtosis3.0100976
Mean2.0543478
Median Absolute Deviation (MAD)0
Skewness1.6510348
Sum189
Variance10.271739
MonotonicityNot monotonic
2024-04-06T18:59:46.676652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 59
 
13.6%
5 8
 
1.8%
6 6
 
1.4%
3 5
 
1.1%
4 4
 
0.9%
7 4
 
0.9%
10 2
 
0.5%
8 1
 
0.2%
16 1
 
0.2%
1 1
 
0.2%
(Missing) 343
78.9%
ValueCountFrequency (%)
0 59
13.6%
1 1
 
0.2%
3 5
 
1.1%
4 4
 
0.9%
5 8
 
1.8%
6 6
 
1.4%
7 4
 
0.9%
8 1
 
0.2%
9 1
 
0.2%
10 2
 
0.5%
ValueCountFrequency (%)
16 1
 
0.2%
10 2
 
0.5%
9 1
 
0.2%
8 1
 
0.2%
7 4
0.9%
6 6
1.4%
5 8
1.8%
4 4
0.9%
3 5
1.1%
1 1
 
0.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
352 
기타
70 
학교정화(절대)
 
6
주택가주변
 
6
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.7494253
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 352
80.9%
기타 70
 
16.1%
학교정화(절대) 6
 
1.4%
주택가주변 6
 
1.4%
아파트지역 1
 
0.2%

Length

2024-04-06T18:59:46.937788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:47.133332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
80.9%
기타 70
 
16.1%
학교정화(절대 6
 
1.4%
주택가주변 6
 
1.4%
아파트지역 1
 
0.2%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
352 
기타
46 
자율
36 
지도
 
1

Length

Max length4
Median length4
Mean length3.6183908
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 352
80.9%
기타 46
 
10.6%
자율 36
 
8.3%
지도 1
 
0.2%

Length

2024-04-06T18:59:47.356940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:47.547831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 352
80.9%
기타 46
 
10.6%
자율 36
 
8.3%
지도 1
 
0.2%
Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
상수도전용
318 
<NA>
116 
간이상수도
 
1

Length

Max length5
Median length5
Mean length4.7333333
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 318
73.1%
<NA> 116
 
26.7%
간이상수도 1
 
0.2%

Length

2024-04-06T18:59:47.738959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:47.953010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 318
73.1%
na 116
 
26.7%
간이상수도 1
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
412 
0
 
23

Length

Max length4
Median length4
Mean length3.8413793
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> 412
94.7%
0 23
 
5.3%

Length

2024-04-06T18:59:48.157459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:48.357602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
94.7%
0 23
 
5.3%

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.4%
Missing197
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean0.2394958
Minimum0
Maximum14
Zeros227
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-06T18:59:48.573009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3522114
Coefficient of variation (CV)5.6460757
Kurtosis56.97376
Mean0.2394958
Median Absolute Deviation (MAD)0
Skewness7.053335
Sum57
Variance1.8284757
MonotonicityNot monotonic
2024-04-06T18:59:48.757056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 227
52.2%
1 3
 
0.7%
5 2
 
0.5%
4 2
 
0.5%
7 1
 
0.2%
14 1
 
0.2%
9 1
 
0.2%
6 1
 
0.2%
(Missing) 197
45.3%
ValueCountFrequency (%)
0 227
52.2%
1 3
 
0.7%
4 2
 
0.5%
5 2
 
0.5%
6 1
 
0.2%
7 1
 
0.2%
9 1
 
0.2%
14 1
 
0.2%
ValueCountFrequency (%)
14 1
 
0.2%
9 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
5 2
 
0.5%
4 2
 
0.5%
1 3
 
0.7%
0 227
52.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
412 
0
 
23

Length

Max length4
Median length4
Mean length3.8413793
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> 412
94.7%
0 23
 
5.3%

Length

2024-04-06T18:59:48.998245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:49.172065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
94.7%
0 23
 
5.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
412 
0
 
23

Length

Max length4
Median length4
Mean length3.8413793
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> 412
94.7%
0 23
 
5.3%

Length

2024-04-06T18:59:49.395053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:49.615186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
94.7%
0 23
 
5.3%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
412 
0
 
23

Length

Max length4
Median length4
Mean length3.8413793
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> 412
94.7%
0 23
 
5.3%

Length

2024-04-06T18:59:49.797036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:49.997674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 412
94.7%
0 23
 
5.3%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
390 
자가
 
33
임대
 
12

Length

Max length4
Median length4
Mean length3.7931034
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> 390
89.7%
자가 33
 
7.6%
임대 12
 
2.8%

Length

2024-04-06T18:59:50.219970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:50.424362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 390
89.7%
자가 33
 
7.6%
임대 12
 
2.8%

보증액
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
244 
0
191 

Length

Max length4
Median length4
Mean length2.6827586
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> 244
56.1%
0 191
43.9%

Length

2024-04-06T18:59:50.614339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:50.878121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
56.1%
0 191
43.9%

월세액
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
244 
0
191 

Length

Max length4
Median length4
Mean length2.6827586
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> 244
56.1%
0 191
43.9%

Length

2024-04-06T18:59:51.049927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:59:51.234282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 244
56.1%
0 191
43.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing64
Missing (%)14.7%
Memory size1002.0 B
False
371 
(Missing)
64 
ValueCountFrequency (%)
False 371
85.3%
(Missing) 64
 
14.7%
2024-04-06T18:59:51.385329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct205
Distinct (%)55.3%
Missing64
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean85.471267
Minimum0
Maximum1815.25
Zeros103
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-06T18:59:51.558380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.8
Q390.965
95-th percentile351.93
Maximum1815.25
Range1815.25
Interquartile range (IQR)90.965

Descriptive statistics

Standard deviation177.74771
Coefficient of variation (CV)2.0796194
Kurtosis32.392771
Mean85.471267
Median Absolute Deviation (MAD)19.8
Skewness4.763512
Sum31709.84
Variance31594.248
MonotonicityNot monotonic
2024-04-06T18:59:51.821322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 103
23.7%
10.0 10
 
2.3%
30.0 9
 
2.1%
33.0 7
 
1.6%
15.0 6
 
1.4%
8.0 6
 
1.4%
16.5 5
 
1.1%
20.0 5
 
1.1%
36.0 4
 
0.9%
13.0 3
 
0.7%
Other values (195) 213
49.0%
(Missing) 64
 
14.7%
ValueCountFrequency (%)
0.0 103
23.7%
4.3 1
 
0.2%
5.17 1
 
0.2%
7.0 2
 
0.5%
7.2 2
 
0.5%
7.41 1
 
0.2%
7.54 1
 
0.2%
8.0 6
 
1.4%
8.12 1
 
0.2%
9.0 3
 
0.7%
ValueCountFrequency (%)
1815.25 1
0.2%
1200.0 1
0.2%
1018.0 1
0.2%
999.36 1
0.2%
783.0 1
0.2%
714.4 1
0.2%
634.0 1
0.2%
627.9 1
0.2%
610.0 1
0.2%
599.38 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing435
Missing (%)100.0%
Memory size4.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031600003160000-105-1980-0000119800401<NA>3폐업2폐업19980407<NA><NA><NA>02 8678102.00152847서울특별시 구로구 구로동 170-12번지 0000동 0000호<NA><NA>체성회2001-09-26 00:00:00I2018-08-31 23:59:59.0집단급식소190585.018452442796.127414집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131600003160000-105-1980-0000219800401<NA>3폐업2폐업19980907<NA><NA><NA>02 8566881.00152848서울특별시 구로구 구로동 235-2번지 0000동 0000호<NA><NA>(주)오트론2001-09-26 00:00:00I2018-08-31 23:59:59.0집단급식소190504.778241442154.992807집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231600003160000-105-1980-0000319800401<NA>1영업/정상1영업<NA><NA><NA><NA>0226138001.00152815서울특별시 구로구 개봉동 353-2서울특별시 구로구 개봉로 126 (개봉동)8277구로다나병원2022-04-28 14:55:57U2021-12-03 21:00:00.0병원187263.423645443866.78976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331600003160000-105-1980-0000419800401<NA>3폐업2폐업20000822<NA><NA><NA>02 6103387.00152895서울특별시 구로구 오류동 123-0번지 0000동 0000호<NA><NA>동부제강(주)2001-09-26 00:00:00I2018-08-31 23:59:59.0집단급식소185346.474167443218.645815집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431600003160000-105-1980-0000519800401<NA>3폐업2폐업20040707<NA><NA><NA>02.00152848서울특별시 구로구 구로동 197-33번지 0000동 0000호<NA><NA>(주)한창2002-10-08 00:00:00I2018-08-31 23:59:59.0집단급식소190541.499138442708.14086집단급식소00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531600003160000-105-1980-0000619800401<NA>3폐업2폐업20020930<NA><NA><NA>02 8586071.00152848서울특별시 구로구 구로동 222-8번지 0000동 0000호<NA><NA>(주)국도2003-02-07 00:00:00I2018-08-31 23:59:59.0집단급식소190734.812272442305.23086집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631600003160000-105-1980-0000719800401<NA>3폐업2폐업19981226<NA><NA><NA>02 6130051.00152896서울특별시 구로구 오류동 134-0번지 0000동 0000호<NA><NA>대원강업(주)2003-02-07 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>
731600003160000-105-1980-0000819800401<NA>1영업/정상1영업<NA><NA><NA><NA>02 20674109.00152130서울특별시 구로구 천왕동 30-1번지 0000동 0000호서울특별시 구로구 천왕로2길 45, 0000동 0000호 (천왕동)8365신용보증기금2017-07-18 19:37:05I2018-08-31 23:59:59.0산업체185906.602834442414.064322산업체00기타기타상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831600003160000-105-1980-0000919800401<NA>3폐업2폐업20021015<NA><NA><NA>02 6345166.00152887서울특별시 구로구 신도림동 360-0번지 0000동 0000호<NA><NA>대성산업2002-10-15 00:00:00I2018-08-31 23:59:59.0집단급식소190253.165227445286.699782집단급식소00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
931600003160000-105-1980-0001019800401<NA>3폐업2폐업20000519<NA><NA><NA>02 6705231.00152887서울특별시 구로구 신도림동 365-0번지 0000동 0000호<NA><NA>한국타이어(주)2001-09-26 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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
42531600003160000-105-2021-0001220210917<NA>1영업/정상1영업<NA><NA><NA><NA>0262202928.00152848서울특별시 구로구 구로동 235-2 에이스하이엔드타워1차서울특별시 구로구 디지털로26길 5, 에이스하이엔드타워1차 201호 (구로동)8389구립 자람터어린이집2022-07-14 18:47:46U2021-12-06 23:06:00.0어린이집190504.778241442154.992807<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42631600003160000-105-2021-0001320211201<NA>1영업/정상1영업<NA><NA><NA><NA>02 26118883219.92152805서울특별시 구로구 개봉동 143-1 오류빌딩서울특별시 구로구 경인로 297, 오류빌딩 지하1층 (개봉동)8238서울VIP요양병원2021-12-01 15:33:37I2021-12-03 00:22:43.0병원186968.262921443991.411316병원00<NA><NA>상수도전용00000<NA>00N120.38<NA><NA><NA>
42731600003160000-105-2022-0000120220811<NA>1영업/정상1영업<NA><NA><NA><NA>02 26810692.00152831서울특별시 구로구 고척동 172-6 고척교회 2층서울특별시 구로구 중앙로 79, 고척교회 (고척동)8228희망주야간보호센터2022-08-11 11:30:39I2021-12-07 23:03:00.0사회복지시설187620.633853444710.622282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42831600003160000-105-2022-000022022-09-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>255.60152-828서울특별시 구로구 고척동 100-7서울특별시 구로구 경인로43길 49 (고척동)8226코스트코 코리아 고척점2023-08-11 09:30:07U2022-12-07 23:03:00.0산업체187477.579441444045.294922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42931600003160000-105-2022-000032022-11-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>133.80152-826서울특별시 구로구 고척동 73-3 일이삼전자타운서울특별시 구로구 경인로 393-7, 일이삼전자타운 6,7층 (고척동)8227포그니병원2023-08-11 09:35:04U2022-12-07 23:03:00.0병원187826.698184443925.524686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43031600003160000-105-2022-000042022-12-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.69152-828서울특별시 구로구 고척동 102-1 고척아이파크서울특별시 구로구 중앙로5길 59 (고척동, 고척아이파크)8225구립달숲어린이집2023-08-11 09:35:48U2022-12-07 23:03:00.0어린이집187496.661585444277.066463<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43131600003160000-105-2022-000052022-12-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>135.21152-828서울특별시 구로구 고척동 100-7 고척아이파크서울특별시 구로구 경인로43길 49 (고척동, 고척아이파크)8226별숲어린이집2023-08-11 09:36:07U2022-12-07 23:03:00.0어린이집187477.579441444045.294922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43231600003160000-105-2023-000012023-01-16<NA>1영업/정상1영업<NA><NA><NA><NA>0226179980211.94152-896서울특별시 구로구 오류동 147 사회복지법인삼농복지재단서울특별시 구로구 오류로8길 84, 사회복지법인삼농복지재단 (오류동)8344삼농실버마을2024-01-25 15:28:05U2023-11-30 22:07:00.0사회복지시설186200.421785443388.521024<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43331600003160000-105-2023-000022023-04-10<NA>1영업/정상1영업<NA><NA><NA><NA>0286581740.00152-801서울특별시 구로구 가리봉동 131-1 성프란치스코수녀원,성프란치스코복지관서울특별시 구로구 남부순환로105라길 25-10, 성프란치스코수녀원,성프란치스코복지관 (가리봉동)8388성프란치스꼬장애인종합복지관2023-04-10 13:34:28I2022-12-03 23:02:00.0사회복지시설190247.027205442159.117172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43431600003160000-105-2024-000012024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA>02 8571302108.51152-879서울특별시 구로구 구로동 844-1서울특별시 구로구 남부순환로107길 29, 지상1층 (구로동)8395넷마블푸르니어린이집2024-02-28 11:14:26I2023-12-03 00:01:00.0어린이집190583.155085441999.892839<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>