Overview

Dataset statistics

Number of variables44
Number of observations451
Missing cells4236
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory165.3 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-18009/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (62.2%)Imbalance
영업장주변구분명 is highly imbalanced (69.4%)Imbalance
총인원 is highly imbalanced (89.8%)Imbalance
본사종업원수 is highly imbalanced (57.7%)Imbalance
공장사무직종업원수 is highly imbalanced (89.8%)Imbalance
공장판매직종업원수 is highly imbalanced (89.8%)Imbalance
공장생산직종업원수 is highly imbalanced (89.8%)Imbalance
건물소유구분명 is highly imbalanced (75.9%)Imbalance
인허가취소일자 has 451 (100.0%) missing valuesMissing
폐업일자 has 256 (56.8%) missing valuesMissing
휴업시작일자 has 451 (100.0%) missing valuesMissing
휴업종료일자 has 451 (100.0%) missing valuesMissing
재개업일자 has 451 (100.0%) missing valuesMissing
전화번호 has 74 (16.4%) missing valuesMissing
소재지면적 has 51 (11.3%) missing valuesMissing
도로명주소 has 40 (8.9%) missing valuesMissing
도로명우편번호 has 58 (12.9%) missing valuesMissing
좌표정보(X) has 7 (1.6%) missing valuesMissing
좌표정보(Y) has 7 (1.6%) missing valuesMissing
여성종사자수 has 388 (86.0%) missing valuesMissing
다중이용업소여부 has 99 (22.0%) missing valuesMissing
시설총규모 has 99 (22.0%) missing valuesMissing
전통업소지정번호 has 451 (100.0%) missing valuesMissing
전통업소주된음식 has 451 (100.0%) missing valuesMissing
홈페이지 has 451 (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 55 (12.2%) zerosZeros
시설총규모 has 114 (25.3%) zerosZeros

Reproduction

Analysis started2024-05-11 05:54:15.064974
Analysis finished2024-05-11 05:54:16.292796
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3070000
451 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 451
100.0%

Length

2024-05-11T14:54:16.361825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:16.468579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 451
100.0%

관리번호
Text

UNIQUE 

Distinct451
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T14:54:16.679201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9922
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

Unique451 ?
Unique (%)100.0%

Sample

1st row3070000-105-1973-00011
2nd row3070000-105-1980-00013
3rd row3070000-105-1988-00016
4th row3070000-105-1990-00018
5th row3070000-105-1991-00017
ValueCountFrequency (%)
3070000-105-1973-00011 1
 
0.2%
3070000-105-2008-00013 1
 
0.2%
3070000-105-2014-00005 1
 
0.2%
3070000-105-2014-00004 1
 
0.2%
3070000-105-2014-00003 1
 
0.2%
3070000-105-2014-00002 1
 
0.2%
3070000-105-2014-00001 1
 
0.2%
3070000-105-2013-00030 1
 
0.2%
3070000-105-2013-00029 1
 
0.2%
3070000-105-2013-00028 1
 
0.2%
Other values (441) 441
97.8%
2024-05-11T14:54:17.115205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4861
49.0%
- 1353
 
13.6%
1 912
 
9.2%
5 609
 
6.1%
3 566
 
5.7%
2 555
 
5.6%
7 535
 
5.4%
9 217
 
2.2%
4 116
 
1.2%
8 112
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8569
86.4%
Dash Punctuation 1353
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4861
56.7%
1 912
 
10.6%
5 609
 
7.1%
3 566
 
6.6%
2 555
 
6.5%
7 535
 
6.2%
9 217
 
2.5%
4 116
 
1.4%
8 112
 
1.3%
6 86
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9922
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4861
49.0%
- 1353
 
13.6%
1 912
 
9.2%
5 609
 
6.1%
3 566
 
5.7%
2 555
 
5.6%
7 535
 
5.4%
9 217
 
2.2%
4 116
 
1.2%
8 112
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4861
49.0%
- 1353
 
13.6%
1 912
 
9.2%
5 609
 
6.1%
3 566
 
5.7%
2 555
 
5.6%
7 535
 
5.4%
9 217
 
2.2%
4 116
 
1.2%
8 112
 
1.1%
Distinct383
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1973-05-05 00:00:00
Maximum2024-02-26 00:00:00
2024-05-11T14:54:17.296363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:17.502215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
1
256 
3
195 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 256
56.8%
3 195
43.2%

Length

2024-05-11T14:54:17.713768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:17.865952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 256
56.8%
3 195
43.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업/정상
256 
폐업
195 

Length

Max length5
Median length5
Mean length3.7028825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 256
56.8%
폐업 195
43.2%

Length

2024-05-11T14:54:18.033870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:18.190554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 256
56.8%
폐업 195
43.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
1
256 
2
195 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 256
56.8%
2 195
43.2%

Length

2024-05-11T14:54:18.371430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:18.535678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 256
56.8%
2 195
43.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
영업
256 
폐업
195 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 256
56.8%
폐업 195
43.2%

Length

2024-05-11T14:54:18.701013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:18.859037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 256
56.8%
폐업 195
43.2%

폐업일자
Date

MISSING 

Distinct178
Distinct (%)91.3%
Missing256
Missing (%)56.8%
Memory size3.7 KiB
Minimum1995-02-21 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:54:19.051762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:19.289017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB

전화번호
Text

MISSING 

Distinct348
Distinct (%)92.3%
Missing74
Missing (%)16.4%
Memory size3.7 KiB
2024-05-11T14:54:19.808862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.68435
Min length2

Characters and Unicode

Total characters4028
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

Unique324 ?
Unique (%)85.9%

Sample

1st row02
2nd row02 9157835
3rd row02 9841234
4th row02 9207393
5th row02 9205147
ValueCountFrequency (%)
02 344
41.7%
909 8
 
1.0%
912 6
 
0.7%
910 6
 
0.7%
4952 5
 
0.6%
913 5
 
0.6%
911 5
 
0.6%
941 5
 
0.6%
915 4
 
0.5%
929 4
 
0.5%
Other values (380) 432
52.4%
2024-05-11T14:54:20.588245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 671
16.7%
0 644
16.0%
597
14.8%
9 508
12.6%
1 345
8.6%
3 260
 
6.5%
5 228
 
5.7%
4 220
 
5.5%
7 201
 
5.0%
6 190
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3431
85.2%
Space Separator 597
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 671
19.6%
0 644
18.8%
9 508
14.8%
1 345
10.1%
3 260
 
7.6%
5 228
 
6.6%
4 220
 
6.4%
7 201
 
5.9%
6 190
 
5.5%
8 164
 
4.8%
Space Separator
ValueCountFrequency (%)
597
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4028
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 671
16.7%
0 644
16.0%
597
14.8%
9 508
12.6%
1 345
8.6%
3 260
 
6.5%
5 228
 
5.7%
4 220
 
5.5%
7 201
 
5.0%
6 190
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 671
16.7%
0 644
16.0%
597
14.8%
9 508
12.6%
1 345
8.6%
3 260
 
6.5%
5 228
 
5.7%
4 220
 
5.5%
7 201
 
5.0%
6 190
 
4.7%

소재지면적
Text

MISSING 

Distinct239
Distinct (%)59.8%
Missing51
Missing (%)11.3%
Memory size3.7 KiB
2024-05-11T14:54:21.238590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.9
Min length3

Characters and Unicode

Total characters1960
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

Unique204 ?
Unique (%)51.0%

Sample

1st row33.15
2nd row.00
3rd row44.00
4th row1995.02
5th row116.10
ValueCountFrequency (%)
00 70
 
17.5%
33.00 11
 
2.8%
16.50 10
 
2.5%
13.20 10
 
2.5%
10.00 9
 
2.2%
0.00 7
 
1.8%
19.80 7
 
1.8%
9.90 5
 
1.2%
15.00 5
 
1.2%
6.60 4
 
1.0%
Other values (229) 262
65.5%
2024-05-11T14:54:22.178794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 548
28.0%
. 400
20.4%
1 198
 
10.1%
2 141
 
7.2%
3 130
 
6.6%
6 106
 
5.4%
5 103
 
5.3%
8 94
 
4.8%
9 87
 
4.4%
4 85
 
4.3%
Other values (2) 68
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1553
79.2%
Other Punctuation 407
 
20.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 548
35.3%
1 198
 
12.7%
2 141
 
9.1%
3 130
 
8.4%
6 106
 
6.8%
5 103
 
6.6%
8 94
 
6.1%
9 87
 
5.6%
4 85
 
5.5%
7 61
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 400
98.3%
, 7
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 1960
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 548
28.0%
. 400
20.4%
1 198
 
10.1%
2 141
 
7.2%
3 130
 
6.6%
6 106
 
5.4%
5 103
 
5.3%
8 94
 
4.8%
9 87
 
4.4%
4 85
 
4.3%
Other values (2) 68
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 548
28.0%
. 400
20.4%
1 198
 
10.1%
2 141
 
7.2%
3 130
 
6.6%
6 106
 
5.4%
5 103
 
5.3%
8 94
 
4.8%
9 87
 
4.4%
4 85
 
4.3%
Other values (2) 68
 
3.5%
Distinct133
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T14:54:22.704553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1419069
Min length6

Characters and Unicode

Total characters2770
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

Unique44 ?
Unique (%)9.8%

Sample

1st row136120
2nd row136827
3rd row136800
4th row136054
5th row136-705
ValueCountFrequency (%)
136865 18
 
4.0%
136110 15
 
3.3%
136120 14
 
3.1%
136060 13
 
2.9%
136858 13
 
2.9%
136854 11
 
2.4%
136075 11
 
2.4%
136800 11
 
2.4%
136836 7
 
1.6%
136090 7
 
1.6%
Other values (123) 331
73.4%
2024-05-11T14:54:23.508815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 577
20.8%
3 563
20.3%
6 542
19.6%
8 326
11.8%
0 261
9.4%
5 137
 
4.9%
4 92
 
3.3%
2 86
 
3.1%
7 81
 
2.9%
- 64
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2706
97.7%
Dash Punctuation 64
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 577
21.3%
3 563
20.8%
6 542
20.0%
8 326
12.0%
0 261
9.6%
5 137
 
5.1%
4 92
 
3.4%
2 86
 
3.2%
7 81
 
3.0%
9 41
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 577
20.8%
3 563
20.3%
6 542
19.6%
8 326
11.8%
0 261
9.4%
5 137
 
4.9%
4 92
 
3.3%
2 86
 
3.1%
7 81
 
2.9%
- 64
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 577
20.8%
3 563
20.3%
6 542
19.6%
8 326
11.8%
0 261
9.4%
5 137
 
4.9%
4 92
 
3.3%
2 86
 
3.1%
7 81
 
2.9%
- 64
 
2.3%
Distinct394
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T14:54:24.013984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length24.356984
Min length16

Characters and Unicode

Total characters10985
Distinct characters213
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

Unique348 ?
Unique (%)77.2%

Sample

1st row서울특별시 성북구 상월곡동 88-64번지
2nd row서울특별시 성북구 장위동 76-3번지
3rd row서울특별시 성북구 길음동 25-2번지 신세계백화점
4th row서울특별시 성북구 동선동4가 249-1번지
5th row서울특별시 성북구 안암동5가 126-1 고려대병원
ValueCountFrequency (%)
서울특별시 451
22.1%
성북구 451
22.1%
정릉동 83
 
4.1%
종암동 47
 
2.3%
하월곡동 46
 
2.3%
장위동 46
 
2.3%
길음동 45
 
2.2%
돈암동 32
 
1.6%
석관동 23
 
1.1%
안암동5가 22
 
1.1%
Other values (517) 791
38.8%
2024-05-11T14:54:24.755414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1937
 
17.6%
499
 
4.5%
480
 
4.4%
470
 
4.3%
460
 
4.2%
458
 
4.2%
452
 
4.1%
452
 
4.1%
451
 
4.1%
451
 
4.1%
Other values (203) 4875
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6728
61.2%
Space Separator 1937
 
17.6%
Decimal Number 1922
 
17.5%
Dash Punctuation 360
 
3.3%
Other Punctuation 10
 
0.1%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Uppercase Letter 8
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
499
 
7.4%
480
 
7.1%
470
 
7.0%
460
 
6.8%
458
 
6.8%
452
 
6.7%
452
 
6.7%
451
 
6.7%
451
 
6.7%
344
 
5.1%
Other values (177) 2211
32.9%
Decimal Number
ValueCountFrequency (%)
1 437
22.7%
2 279
14.5%
3 190
9.9%
6 184
9.6%
8 164
 
8.5%
5 163
 
8.5%
4 147
 
7.6%
0 134
 
7.0%
7 131
 
6.8%
9 93
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
12.5%
H 1
12.5%
L 1
12.5%
A 1
12.5%
J 1
12.5%
C 1
12.5%
K 1
12.5%
S 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
@ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1937
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6728
61.2%
Common 4248
38.7%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
499
 
7.4%
480
 
7.1%
470
 
7.0%
460
 
6.8%
458
 
6.8%
452
 
6.7%
452
 
6.7%
451
 
6.7%
451
 
6.7%
344
 
5.1%
Other values (177) 2211
32.9%
Common
ValueCountFrequency (%)
1937
45.6%
1 437
 
10.3%
- 360
 
8.5%
2 279
 
6.6%
3 190
 
4.5%
6 184
 
4.3%
8 164
 
3.9%
5 163
 
3.8%
4 147
 
3.5%
0 134
 
3.2%
Other values (7) 253
 
6.0%
Latin
ValueCountFrequency (%)
B 1
11.1%
H 1
11.1%
L 1
11.1%
A 1
11.1%
J 1
11.1%
C 1
11.1%
e 1
11.1%
K 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6728
61.2%
ASCII 4257
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1937
45.5%
1 437
 
10.3%
- 360
 
8.5%
2 279
 
6.6%
3 190
 
4.5%
6 184
 
4.3%
8 164
 
3.9%
5 163
 
3.8%
4 147
 
3.5%
0 134
 
3.1%
Other values (16) 262
 
6.2%
Hangul
ValueCountFrequency (%)
499
 
7.4%
480
 
7.1%
470
 
7.0%
460
 
6.8%
458
 
6.8%
452
 
6.7%
452
 
6.7%
451
 
6.7%
451
 
6.7%
344
 
5.1%
Other values (177) 2211
32.9%

도로명주소
Text

MISSING 

Distinct361
Distinct (%)87.8%
Missing40
Missing (%)8.9%
Memory size3.7 KiB
2024-05-11T14:54:25.329593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length29.498783
Min length21

Characters and Unicode

Total characters12124
Distinct characters229
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

Unique324 ?
Unique (%)78.8%

Sample

1st row서울특별시 성북구 고려대로 73, 고려대학교 의과대학 부속병원 (안암동5가)
2nd row서울특별시 성북구 삼선교로14길 102-43 (삼선동2가)
3rd row서울특별시 성북구 보문로 168 (삼선동5가)
4th row서울특별시 성북구 보문로34다길 2, 성신여자대학교 수정관A동 10층 (돈암동)
5th row서울특별시 성북구 개운사2길 46 (안암동5가)
ValueCountFrequency (%)
서울특별시 411
 
17.7%
성북구 411
 
17.7%
정릉동 70
 
3.0%
장위동 40
 
1.7%
종암동 40
 
1.7%
하월곡동 37
 
1.6%
길음동 35
 
1.5%
1층 31
 
1.3%
돈암동 24
 
1.0%
안암동5가 20
 
0.9%
Other values (549) 1201
51.8%
2024-05-11T14:54:26.366724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1910
 
15.8%
492
 
4.1%
462
 
3.8%
458
 
3.8%
434
 
3.6%
419
 
3.5%
) 417
 
3.4%
( 417
 
3.4%
414
 
3.4%
413
 
3.4%
Other values (219) 6288
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7506
61.9%
Space Separator 1910
 
15.8%
Decimal Number 1596
 
13.2%
Close Punctuation 418
 
3.4%
Open Punctuation 418
 
3.4%
Other Punctuation 215
 
1.8%
Dash Punctuation 48
 
0.4%
Uppercase Letter 10
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
492
 
6.6%
462
 
6.2%
458
 
6.1%
434
 
5.8%
419
 
5.6%
414
 
5.5%
413
 
5.5%
411
 
5.5%
411
 
5.5%
396
 
5.3%
Other values (190) 3196
42.6%
Decimal Number
ValueCountFrequency (%)
1 351
22.0%
2 233
14.6%
3 188
11.8%
4 167
10.5%
5 146
9.1%
6 115
 
7.2%
0 104
 
6.5%
8 99
 
6.2%
9 97
 
6.1%
7 96
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
J 1
10.0%
C 1
10.0%
H 1
10.0%
L 1
10.0%
S 1
10.0%
K 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 211
98.1%
@ 3
 
1.4%
* 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 417
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 417
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7506
61.9%
Common 4607
38.0%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
492
 
6.6%
462
 
6.2%
458
 
6.1%
434
 
5.8%
419
 
5.6%
414
 
5.5%
413
 
5.5%
411
 
5.5%
411
 
5.5%
396
 
5.3%
Other values (190) 3196
42.6%
Common
ValueCountFrequency (%)
1910
41.5%
) 417
 
9.1%
( 417
 
9.1%
1 351
 
7.6%
2 233
 
5.1%
, 211
 
4.6%
3 188
 
4.1%
4 167
 
3.6%
5 146
 
3.2%
6 115
 
2.5%
Other values (10) 452
 
9.8%
Latin
ValueCountFrequency (%)
A 2
18.2%
B 2
18.2%
J 1
9.1%
C 1
9.1%
H 1
9.1%
L 1
9.1%
S 1
9.1%
e 1
9.1%
K 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7506
61.9%
ASCII 4618
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1910
41.4%
) 417
 
9.0%
( 417
 
9.0%
1 351
 
7.6%
2 233
 
5.0%
, 211
 
4.6%
3 188
 
4.1%
4 167
 
3.6%
5 146
 
3.2%
6 115
 
2.5%
Other values (19) 463
 
10.0%
Hangul
ValueCountFrequency (%)
492
 
6.6%
462
 
6.2%
458
 
6.1%
434
 
5.8%
419
 
5.6%
414
 
5.5%
413
 
5.5%
411
 
5.5%
411
 
5.5%
396
 
5.3%
Other values (190) 3196
42.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)32.3%
Missing58
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean2787.7913
Minimum2700
Maximum2880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T14:54:26.614541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2700
5-th percentile2708
Q12738
median2795
Q32831
95-th percentile2873.4
Maximum2880
Range180
Interquartile range (IQR)93

Descriptive statistics

Standard deviation53.350566
Coefficient of variation (CV)0.019137216
Kurtosis-1.2403087
Mean2787.7913
Median Absolute Deviation (MAD)46
Skewness-0.011954636
Sum1095602
Variance2846.2829
MonotonicityNot monotonic
2024-05-11T14:54:26.875018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2748 11
 
2.4%
2708 11
 
2.4%
2841 10
 
2.2%
2812 9
 
2.0%
2720 8
 
1.8%
2874 8
 
1.8%
2831 8
 
1.8%
2804 7
 
1.6%
2803 7
 
1.6%
2713 7
 
1.6%
Other values (117) 307
68.1%
(Missing) 58
 
12.9%
ValueCountFrequency (%)
2700 2
 
0.4%
2701 7
1.6%
2705 1
 
0.2%
2706 1
 
0.2%
2707 5
1.1%
2708 11
2.4%
2709 4
 
0.9%
2711 2
 
0.4%
2712 2
 
0.4%
2713 7
1.6%
ValueCountFrequency (%)
2880 2
 
0.4%
2879 3
 
0.7%
2878 1
 
0.2%
2877 2
 
0.4%
2876 4
0.9%
2874 8
1.8%
2873 3
 
0.7%
2872 1
 
0.2%
2871 5
1.1%
2870 1
 
0.2%
Distinct379
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T14:54:27.343722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.1574279
Min length3

Characters and Unicode

Total characters3679
Distinct characters307
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

Unique322 ?
Unique (%)71.4%

Sample

1st row성일산업(주)
2nd row상업은행제2합숙소
3rd row신세계백화점 미아점
4th row성신여대교직원식당
5th row고대의대부속병원
ValueCountFrequency (%)
어린이집 16
 
3.0%
국공립 9
 
1.7%
아트어린이집 5
 
0.9%
국민대학교 5
 
0.9%
은영어린이집 4
 
0.7%
한국과학기술연구원 4
 
0.7%
종암중앙어린이집 4
 
0.7%
식당 4
 
0.7%
구내식당 4
 
0.7%
나리어린이집 3
 
0.6%
Other values (399) 477
89.2%
2024-05-11T14:54:28.141246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
5.2%
192
 
5.2%
182
 
4.9%
181
 
4.9%
144
 
3.9%
133
 
3.6%
124
 
3.4%
84
 
2.3%
67
 
1.8%
66
 
1.8%
Other values (297) 2313
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3507
95.3%
Space Separator 84
 
2.3%
Uppercase Letter 27
 
0.7%
Close Punctuation 23
 
0.6%
Open Punctuation 22
 
0.6%
Decimal Number 15
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
193
 
5.5%
192
 
5.5%
182
 
5.2%
181
 
5.2%
144
 
4.1%
133
 
3.8%
124
 
3.5%
67
 
1.9%
66
 
1.9%
62
 
1.8%
Other values (280) 2163
61.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
22.2%
I 5
18.5%
G 4
14.8%
P 3
11.1%
K 3
11.1%
T 3
11.1%
A 1
 
3.7%
L 1
 
3.7%
E 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 8
53.3%
2 4
26.7%
3 2
 
13.3%
0 1
 
6.7%
Space Separator
ValueCountFrequency (%)
84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3507
95.3%
Common 145
 
3.9%
Latin 27
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
193
 
5.5%
192
 
5.5%
182
 
5.2%
181
 
5.2%
144
 
4.1%
133
 
3.8%
124
 
3.5%
67
 
1.9%
66
 
1.9%
62
 
1.8%
Other values (280) 2163
61.7%
Latin
ValueCountFrequency (%)
S 6
22.2%
I 5
18.5%
G 4
14.8%
P 3
11.1%
K 3
11.1%
T 3
11.1%
A 1
 
3.7%
L 1
 
3.7%
E 1
 
3.7%
Common
ValueCountFrequency (%)
84
57.9%
) 23
 
15.9%
( 22
 
15.2%
1 8
 
5.5%
2 4
 
2.8%
3 2
 
1.4%
+ 1
 
0.7%
0 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3507
95.3%
ASCII 172
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
193
 
5.5%
192
 
5.5%
182
 
5.2%
181
 
5.2%
144
 
4.1%
133
 
3.8%
124
 
3.5%
67
 
1.9%
66
 
1.9%
62
 
1.8%
Other values (280) 2163
61.7%
ASCII
ValueCountFrequency (%)
84
48.8%
) 23
 
13.4%
( 22
 
12.8%
1 8
 
4.7%
S 6
 
3.5%
I 5
 
2.9%
2 4
 
2.3%
G 4
 
2.3%
P 3
 
1.7%
K 3
 
1.7%
Other values (7) 10
 
5.8%
Distinct328
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2002-02-04 00:00:00
Maximum2024-04-26 14:26:23
2024-05-11T14:54:28.372923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:28.630963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
275 
U
176 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 275
61.0%
U 176
39.0%

Length

2024-05-11T14:54:28.853647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:29.018010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 275
61.0%
u 176
39.0%
Distinct168
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:03:00
2024-05-11T14:54:29.202101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:54:29.474154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct10
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
어린이집
184 
집단급식소
95 
학교
90 
병원
22 
사회복지시설
20 
Other values (5)
40 

Length

Max length8
Median length6
Mean length3.8159645
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 184
40.8%
집단급식소 95
21.1%
학교 90
20.0%
병원 22
 
4.9%
사회복지시설 20
 
4.4%
산업체 18
 
4.0%
공공기관 11
 
2.4%
기타 집단급식소 7
 
1.6%
기숙사 3
 
0.7%
수련원 1
 
0.2%

Length

2024-05-11T14:54:29.734949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:29.952071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 184
40.2%
집단급식소 102
22.3%
학교 90
19.7%
병원 22
 
4.8%
사회복지시설 20
 
4.4%
산업체 18
 
3.9%
공공기관 11
 
2.4%
기타 7
 
1.5%
기숙사 3
 
0.7%
수련원 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct296
Distinct (%)66.7%
Missing7
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean202203.28
Minimum198545.88
Maximum206090.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T14:54:30.186657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198545.88
5-th percentile199786.74
Q1201107.87
median201959.16
Q3203194.79
95-th percentile204912.56
Maximum206090.46
Range7544.5853
Interquartile range (IQR)2086.9154

Descriptive statistics

Standard deviation1521.4591
Coefficient of variation (CV)0.0075244038
Kurtosis-0.47622459
Mean202203.28
Median Absolute Deviation (MAD)1071.1714
Skewness0.21229859
Sum89778257
Variance2314837.9
MonotonicityNot monotonic
2024-05-11T14:54:30.423283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199628.172805473 11
 
2.4%
202789.692329185 9
 
2.0%
203934.360214315 7
 
1.6%
201400.338253837 6
 
1.3%
200044.081685009 5
 
1.1%
201828.206641704 5
 
1.1%
203891.017758302 5
 
1.1%
200841.726990037 5
 
1.1%
200836.169860288 4
 
0.9%
201804.476671074 4
 
0.9%
Other values (286) 383
84.9%
(Missing) 7
 
1.6%
ValueCountFrequency (%)
198545.876020342 1
 
0.2%
198578.153685133 2
 
0.4%
199058.357470878 1
 
0.2%
199129.496295208 1
 
0.2%
199166.841174681 1
 
0.2%
199489.70151728 1
 
0.2%
199512.433987245 1
 
0.2%
199628.172805473 11
2.4%
199673.820355658 1
 
0.2%
199720.363107868 2
 
0.4%
ValueCountFrequency (%)
206090.461362184 1
0.2%
205996.717928956 1
0.2%
205811.940709862 1
0.2%
205807.38132965 1
0.2%
205632.990818969 1
0.2%
205530.525661614 1
0.2%
205517.047917897 1
0.2%
205476.907194814 1
0.2%
205428.853891344 2
0.4%
205272.897283466 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct296
Distinct (%)66.7%
Missing7
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean455500.11
Minimum452935.22
Maximum457988.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T14:54:30.674920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452935.22
5-th percentile453444.25
Q1454650.22
median455733.73
Q3456412.52
95-th percentile457105.94
Maximum457988.51
Range5053.288
Interquartile range (IQR)1762.3019

Descriptive statistics

Standard deviation1133.8409
Coefficient of variation (CV)0.0024892221
Kurtosis-0.80935882
Mean455500.11
Median Absolute Deviation (MAD)788.21583
Skewness-0.37973147
Sum2.0224205 × 108
Variance1285595.3
MonotonicityNot monotonic
2024-05-11T14:54:30.930111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456534.7766001 11
 
2.4%
454049.551940162 9
 
2.0%
455417.925754463 7
 
1.6%
453592.466591172 6
 
1.3%
456540.831063241 5
 
1.1%
455454.105258935 5
 
1.1%
455971.883928231 5
 
1.1%
454721.505180141 5
 
1.1%
453384.726106159 4
 
0.9%
454438.257071786 4
 
0.9%
Other values (286) 383
84.9%
(Missing) 7
 
1.6%
ValueCountFrequency (%)
452935.221547454 1
0.2%
452984.927784272 1
0.2%
453050.036188994 2
0.4%
453062.538164444 2
0.4%
453071.709292695 1
0.2%
453094.796219 1
0.2%
453169.16269153 1
0.2%
453311.478911063 1
0.2%
453327.910268559 1
0.2%
453330.16529015 1
0.2%
ValueCountFrequency (%)
457988.509545404 1
0.2%
457467.321967069 1
0.2%
457443.016711011 1
0.2%
457427.641502598 1
0.2%
457426.160610241 1
0.2%
457424.675484944 1
0.2%
457398.091616621 1
0.2%
457393.803169639 1
0.2%
457340.23705564 1
0.2%
457315.210572579 1
0.2%

위생업태명
Categorical

Distinct10
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
어린이집
140 
<NA>
99 
집단급식소
95 
학교
62 
병원
16 
Other values (5)
39 

Length

Max length8
Median length4
Mean length3.9445676
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 140
31.0%
<NA> 99
22.0%
집단급식소 95
21.1%
학교 62
13.7%
병원 16
 
3.5%
사회복지시설 15
 
3.3%
공공기관 10
 
2.2%
산업체 9
 
2.0%
기타 집단급식소 4
 
0.9%
기숙사 1
 
0.2%

Length

2024-05-11T14:54:31.179367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:31.397993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 140
30.8%
na 99
21.8%
집단급식소 99
21.8%
학교 62
13.6%
병원 16
 
3.5%
사회복지시설 15
 
3.3%
공공기관 10
 
2.2%
산업체 9
 
2.0%
기타 4
 
0.9%
기숙사 1
 
0.2%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
388 
0
62 
1
 
1

Length

Max length4
Median length4
Mean length3.5809313
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 388
86.0%
0 62
 
13.7%
1 1
 
0.2%

Length

2024-05-11T14:54:31.683877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:31.815709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 388
86.0%
0 62
 
13.7%
1 1
 
0.2%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)11.1%
Missing388
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean0.68253968
Minimum0
Maximum10
Zeros55
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T14:54:31.949723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.9
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0306156
Coefficient of variation (CV)2.975088
Kurtosis9.9013173
Mean0.68253968
Median Absolute Deviation (MAD)0
Skewness3.1940679
Sum43
Variance4.1233999
MonotonicityNot monotonic
2024-05-11T14:54:32.162444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 55
 
12.2%
2 2
 
0.4%
6 2
 
0.4%
5 1
 
0.2%
10 1
 
0.2%
4 1
 
0.2%
8 1
 
0.2%
(Missing) 388
86.0%
ValueCountFrequency (%)
0 55
12.2%
2 2
 
0.4%
4 1
 
0.2%
5 1
 
0.2%
6 2
 
0.4%
8 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
10 1
 
0.2%
8 1
 
0.2%
6 2
 
0.4%
5 1
 
0.2%
4 1
 
0.2%
2 2
 
0.4%
0 55
12.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
384 
기타
58 
학교정화(절대)
 
7
주택가주변
 
1
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8159645
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 384
85.1%
기타 58
 
12.9%
학교정화(절대) 7
 
1.6%
주택가주변 1
 
0.2%
학교정화(상대) 1
 
0.2%

Length

2024-05-11T14:54:32.353598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:32.512192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 384
85.1%
기타 58
 
12.9%
학교정화(절대 7
 
1.6%
주택가주변 1
 
0.2%
학교정화(상대 1
 
0.2%

등급구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
384 
기타
67 

Length

Max length4
Median length4
Mean length3.7028825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 384
85.1%
기타 67
 
14.9%

Length

2024-05-11T14:54:32.673460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:32.825389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 384
85.1%
기타 67
 
14.9%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
281 
상수도전용
170 

Length

Max length5
Median length4
Mean length4.3769401
Min length4

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> 281
62.3%
상수도전용 170
37.7%

Length

2024-05-11T14:54:33.039913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:33.182273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 281
62.3%
상수도전용 170
37.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
445 
0
 
6

Length

Max length4
Median length4
Mean length3.9600887
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> 445
98.7%
0 6
 
1.3%

Length

2024-05-11T14:54:33.359563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:33.512429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
98.7%
0 6
 
1.3%

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
0
260 
<NA>
185 
1
 
2
2
 
2
12
 
1

Length

Max length4
Median length1
Mean length2.232816
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 260
57.6%
<NA> 185
41.0%
1 2
 
0.4%
2 2
 
0.4%
12 1
 
0.2%
6 1
 
0.2%

Length

2024-05-11T14:54:33.680697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:33.871190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 260
57.6%
na 185
41.0%
1 2
 
0.4%
2 2
 
0.4%
12 1
 
0.2%
6 1
 
0.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
445 
0
 
6

Length

Max length4
Median length4
Mean length3.9600887
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> 445
98.7%
0 6
 
1.3%

Length

2024-05-11T14:54:34.057758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:34.225223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
98.7%
0 6
 
1.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
445 
0
 
6

Length

Max length4
Median length4
Mean length3.9600887
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> 445
98.7%
0 6
 
1.3%

Length

2024-05-11T14:54:34.418235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:34.564621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
98.7%
0 6
 
1.3%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
445 
0
 
6

Length

Max length4
Median length4
Mean length3.9600887
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> 445
98.7%
0 6
 
1.3%

Length

2024-05-11T14:54:34.712836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:34.854444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 445
98.7%
0 6
 
1.3%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
423 
자가
 
22
임대
 
6

Length

Max length4
Median length4
Mean length3.8758315
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> 423
93.8%
자가 22
 
4.9%
임대 6
 
1.3%

Length

2024-05-11T14:54:35.036714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:35.204818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 423
93.8%
자가 22
 
4.9%
임대 6
 
1.3%

보증액
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
273 
0
178 

Length

Max length4
Median length4
Mean length2.8159645
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> 273
60.5%
0 178
39.5%

Length

2024-05-11T14:54:35.358935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:35.521679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 273
60.5%
0 178
39.5%

월세액
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
<NA>
273 
0
178 

Length

Max length4
Median length4
Mean length2.8159645
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> 273
60.5%
0 178
39.5%

Length

2024-05-11T14:54:35.670444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:54:35.841161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 273
60.5%
0 178
39.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing99
Missing (%)22.0%
Memory size1.0 KiB
False
352 
(Missing)
99 
ValueCountFrequency (%)
False 352
78.0%
(Missing) 99
 
22.0%
2024-05-11T14:54:35.963169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct188
Distinct (%)53.4%
Missing99
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean83.944773
Minimum0
Maximum1774.26
Zeros114
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T14:54:36.117045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.265
Q366
95-th percentile436.3
Maximum1774.26
Range1774.26
Interquartile range (IQR)66

Descriptive statistics

Standard deviation178.67513
Coefficient of variation (CV)2.1284843
Kurtosis28.069787
Mean83.944773
Median Absolute Deviation (MAD)17.265
Skewness4.3998392
Sum29548.56
Variance31924.803
MonotonicityNot monotonic
2024-05-11T14:54:36.319471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 114
25.3%
13.2 8
 
1.8%
10.0 7
 
1.6%
43.0 5
 
1.1%
20.0 5
 
1.1%
26.5 5
 
1.1%
29.8 4
 
0.9%
15.0 4
 
0.9%
16.5 4
 
0.9%
33.0 3
 
0.7%
Other values (178) 193
42.8%
(Missing) 99
22.0%
ValueCountFrequency (%)
0.0 114
25.3%
3.0 1
 
0.2%
3.3 2
 
0.4%
5.16 1
 
0.2%
5.7 1
 
0.2%
6.5 1
 
0.2%
6.6 2
 
0.4%
6.62 1
 
0.2%
7.5 1
 
0.2%
7.65 1
 
0.2%
ValueCountFrequency (%)
1774.26 1
0.2%
1046.5 1
0.2%
867.04 1
0.2%
843.5 1
0.2%
828.49 1
0.2%
810.59 1
0.2%
700.88 1
0.2%
627.0 1
0.2%
539.21 1
0.2%
529.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing451
Missing (%)100.0%
Memory size4.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030700003070000-105-1973-0001119730505<NA>3폐업2폐업20010521<NA><NA><NA>02<NA>136120서울특별시 성북구 상월곡동 88-64번지<NA><NA>성일산업(주)2002-02-04 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130700003070000-105-1980-0001319801204<NA>3폐업2폐업19981105<NA><NA><NA>02 915783533.15136827서울특별시 성북구 장위동 76-3번지<NA><NA>상업은행제2합숙소2002-02-04 00:00:00I2018-08-31 23:59:59.0집단급식소204469.444898457106.417207집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N148.57<NA><NA><NA>
230700003070000-105-1988-0001619881201<NA>3폐업2폐업20070220<NA><NA><NA>02 9841234.00136800서울특별시 성북구 길음동 25-2번지 신세계백화점<NA><NA>신세계백화점 미아점2004-03-31 00:00:00I2018-08-31 23:59:59.0집단급식소202555.300896456503.06623집단급식소00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330700003070000-105-1990-0001819900926<NA>3폐업2폐업19950221<NA><NA><NA>02 920739344.00136054서울특별시 성북구 동선동4가 249-1번지<NA><NA>성신여대교직원식당2002-02-04 00:00:00I2018-08-31 23:59:59.0집단급식소201625.453328454834.78648집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N213.0<NA><NA><NA>
430700003070000-105-1991-000171991-07-10<NA>1영업/정상1영업<NA><NA><NA><NA>02 92051471995.02136-705서울특별시 성북구 안암동5가 126-1 고려대병원서울특별시 성북구 고려대로 73, 고려대학교 의과대학 부속병원 (안암동5가)2841고대의대부속병원2023-12-12 10:32:30U2022-11-01 23:04:00.0병원202313.85076453871.264665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
530700003070000-105-1992-0002019920810<NA>3폐업2폐업20000921<NA><NA><NA>02 9250380116.10136075서울특별시 성북구 안암동5가 1-2번지<NA><NA>고려대학교인촌기념관교직원식당2002-02-04 00:00:00I2018-08-31 23:59:59.0집단급식소202789.692329454049.55194집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N475.59<NA><NA><NA>
630700003070000-105-1992-0002119920902<NA>3폐업2폐업20160805<NA><NA><NA>02 7604231825.60136042서울특별시 성북구 삼선동2가 389번지서울특별시 성북구 삼선교로14길 102-43 (삼선동2가)2867한성대학2016-05-26 13:41:03I2018-08-31 23:59:59.0집단급식소200836.16986453384.726106집단급식소00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N529.0<NA><NA><NA>
730700003070000-105-1993-0002219930607<NA>3폐업2폐업20030930<NA><NA><NA>02 0000054.56136823서울특별시 성북구 성북동 330-223번지<NA><NA>교보정보통신(주)2003-01-10 00:00:00I2018-08-31 23:59:59.0집단급식소198578.153685454897.050226집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N158.4<NA><NA><NA>
830700003070000-105-1994-0002319940504<NA>1영업/정상1영업<NA><NA><NA><NA>02 9203421532.46136045서울특별시 성북구 삼선동5가 411서울특별시 성북구 보문로 168 (삼선동5가)2848성북구청2021-04-30 15:54:39U2021-05-02 02:40:00.0공공기관201416.773357454126.789905공공기관00기타기타<NA><NA>0<NA><NA><NA><NA><NA><NA>N145.9<NA><NA><NA>
930700003070000-105-1995-000241995-03-25<NA>1영업/정상1영업<NA><NA><NA><NA>02 920743042.70136-060서울특별시 성북구 돈암동 173-1 성신여자대학교서울특별시 성북구 보문로34다길 2, 성신여자대학교 수정관A동 10층 (돈암동)2844성신여자대학교 교내식당12023-09-19 19:09:35U2022-12-08 22:01:00.0학교201875.18614454403.293978<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
44130700003070000-105-2022-0000120220126<NA>1영업/정상1영업<NA><NA><NA><NA>02 958607582.00136865서울특별시 성북구 하월곡동 39-1 L3 1층 카페테리아서울특별시 성북구 화랑로14길 5, L3 카페테리아 1층 (하월곡동)2792한국과학기술연구원2022-02-10 09:23:03U2022-02-12 02:40:00.0공공기관203934.360214455417.925754공공기관00<NA><NA><NA>02000<NA>00N82.0<NA><NA><NA>
44230700003070000-105-2022-0000220220303<NA>1영업/정상1영업<NA><NA><NA><NA>0262317575147.55136863서울특별시 성북구 종암동 3-1342 청한빌딩 5층서울특별시 성북구 종암로 129, 청한빌딩 5층 (종암동)2803한마음 한방병원2022-03-03 14:26:08I2022-03-05 00:22:37.0병원202819.871768455458.024657병원00<NA><NA><NA>06000<NA>00N57.88<NA><NA><NA>
44330700003070000-105-2022-000032022-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>84.30136-856서울특별시 성북구 정릉동 893-1 (주)도원교통서울특별시 성북구 정릉로10길 17 (주)도원교통 지하1층 (정릉동)2812도원교통주식회사2023-04-04 09:37:56U2022-12-04 00:06:00.0기타 집단급식소199997.93995456125.990354<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44430700003070000-105-2022-0000420220328<NA>1영업/정상1영업<NA><NA><NA><NA><NA>387.60136800서울특별시 성북구 길음동 508-16 1층서울특별시 성북구 숭인로8길 80, 1층 (길음동)2730국공립 한울어린이집2022-03-30 11:31:46U2021-12-04 00:01:00.0어린이집202328.542538456302.296413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44530700003070000-105-2022-0000520220330<NA>1영업/정상1영업<NA><NA><NA><NA>02 9822203384.00136800서울특별시 성북구 길음동 508-16 1층서울특별시 성북구 숭인로8길 80, 1층 (길음동)2730국공립 이음어린이집2022-03-30 11:43:37I2021-12-04 00:01:00.0어린이집202328.542538456302.296413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44630700003070000-105-2022-0000620220415<NA>1영업/정상1영업<NA><NA><NA><NA>02 918 9931<NA>136807서울특별시 성북구 길음동 635-7 서울길음초등학교서울특별시 성북구 길음로 142, 서울길음초등학교 1층 (길음동)2723서울길음유치원2022-05-11 09:36:41U2021-12-04 23:03:00.0어린이집201468.301103456841.164943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44730700003070000-105-2022-0000720220711<NA>1영업/정상1영업<NA><NA><NA><NA><NA>.00136845서울특별시 성북구 정릉동 674-3 그린존서울특별시 성북구 솔샘로1길 19, 그린존 (정릉동)2708플러스 요양병원2022-07-11 16:38:41I2021-12-06 23:03:00.0병원200279.459422456219.797492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44830700003070000-105-2023-000012023-08-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 63151399243.56136-036서울특별시 성북구 동소문동6가 261-2서울특별시 성북구 동소문로13길 73, 지하1층 (동소문동6가)2830동소문행복기숙사 구내식당2023-08-07 11:53:15I2022-12-08 00:09:00.0기숙사201063.684987454660.405043<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44930700003070000-105-2024-000012024-02-14<NA>1영업/정상1영업<NA><NA><NA><NA>15336400707.80136-087서울특별시 성북구 보문동7가 118 다홍빌딩서울특별시 성북구 보문로 35, 다홍빌딩 지1층 (보문동7가)2873주식회사 휠라홀딩스2024-02-14 15:52:50I2023-12-01 23:06:00.0산업체201925.121532452935.221547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45030700003070000-105-2024-000022024-02-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>136-856서울특별시 성북구 정릉동 916-12 정릉연립서울특별시 성북구 정릉로10라길 18-5 (정릉동, 정릉연립)2812101경비단 어린이집2024-02-26 09:58:15I2023-12-01 22:08:00.0어린이집199870.488605455864.584712<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>