Overview

Dataset statistics

Number of variables44
Number of observations86
Missing cells885
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.6 KiB
Average record size in memory376.5 B

Variable types

Categorical21
Text7
DateTime3
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-18309/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (70.7%)Imbalance
등급구분명 is highly imbalanced (62.9%)Imbalance
총인원 is highly imbalanced (72.9%)Imbalance
보증액 is highly imbalanced (63.5%)Imbalance
월세액 is highly imbalanced (63.5%)Imbalance
시설총규모 is highly imbalanced (52.2%)Imbalance
인허가취소일자 has 86 (100.0%) missing valuesMissing
폐업일자 has 32 (37.2%) missing valuesMissing
휴업시작일자 has 86 (100.0%) missing valuesMissing
휴업종료일자 has 86 (100.0%) missing valuesMissing
재개업일자 has 86 (100.0%) missing valuesMissing
전화번호 has 24 (27.9%) missing valuesMissing
소재지면적 has 6 (7.0%) missing valuesMissing
도로명주소 has 25 (29.1%) missing valuesMissing
도로명우편번호 has 27 (31.4%) missing valuesMissing
좌표정보(X) has 1 (1.2%) missing valuesMissing
좌표정보(Y) has 1 (1.2%) missing valuesMissing
남성종사자수 has 73 (84.9%) missing valuesMissing
여성종사자수 has 74 (86.0%) missing valuesMissing
다중이용업소여부 has 20 (23.3%) missing valuesMissing
전통업소지정번호 has 86 (100.0%) missing valuesMissing
전통업소주된음식 has 86 (100.0%) missing valuesMissing
홈페이지 has 86 (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
남성종사자수 has 4 (4.7%) zerosZeros
여성종사자수 has 5 (5.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:44:18.731551
Analysis finished2024-05-11 05:44:19.515813
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
3070000
86 

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 86
100.0%

Length

2024-05-11T14:44:19.587899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:19.750623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 86
100.0%

관리번호
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:44:20.014124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1892
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

Unique86 ?
Unique (%)100.0%

Sample

1st row3070000-114-1990-00551
2nd row3070000-114-1995-00552
3rd row3070000-114-1996-00553
4th row3070000-114-1996-00557
5th row3070000-114-1996-00558
ValueCountFrequency (%)
3070000-114-1990-00551 1
 
1.2%
3070000-114-2010-00003 1
 
1.2%
3070000-114-2013-00003 1
 
1.2%
3070000-114-2013-00002 1
 
1.2%
3070000-114-2013-00001 1
 
1.2%
3070000-114-2012-00002 1
 
1.2%
3070000-114-2012-00001 1
 
1.2%
3070000-114-2011-00002 1
 
1.2%
3070000-114-2011-00001 1
 
1.2%
3070000-114-2015-00001 1
 
1.2%
Other values (76) 76
88.4%
2024-05-11T14:44:20.481375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 854
45.1%
- 258
 
13.6%
1 248
 
13.1%
3 116
 
6.1%
2 110
 
5.8%
4 100
 
5.3%
7 98
 
5.2%
9 42
 
2.2%
5 34
 
1.8%
6 21
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1634
86.4%
Dash Punctuation 258
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 854
52.3%
1 248
 
15.2%
3 116
 
7.1%
2 110
 
6.7%
4 100
 
6.1%
7 98
 
6.0%
9 42
 
2.6%
5 34
 
2.1%
6 21
 
1.3%
8 11
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1892
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 854
45.1%
- 258
 
13.6%
1 248
 
13.1%
3 116
 
6.1%
2 110
 
5.8%
4 100
 
5.3%
7 98
 
5.2%
9 42
 
2.2%
5 34
 
1.8%
6 21
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 854
45.1%
- 258
 
13.6%
1 248
 
13.1%
3 116
 
6.1%
2 110
 
5.8%
4 100
 
5.3%
7 98
 
5.2%
9 42
 
2.2%
5 34
 
1.8%
6 21
 
1.1%

인허가일자
Date

Distinct83
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum1990-05-04 00:00:00
Maximum2024-01-26 00:00:00
2024-05-11T14:44:20.695665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:20.910478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
3
54 
1
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 54
62.8%
1 32
37.2%

Length

2024-05-11T14:44:21.098013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:21.467989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 54
62.8%
1 32
37.2%

영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
폐업
54 
영업/정상
32 

Length

Max length5
Median length2
Mean length3.1162791
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 54
62.8%
영업/정상 32
37.2%

Length

2024-05-11T14:44:21.618107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:21.750119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
62.8%
영업/정상 32
37.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
2
54 
1
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 54
62.8%
1 32
37.2%

Length

2024-05-11T14:44:21.878552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:22.057719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 54
62.8%
1 32
37.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
폐업
54 
영업
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 54
62.8%
영업 32
37.2%

Length

2024-05-11T14:44:22.206140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:22.310688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
62.8%
영업 32
37.2%

폐업일자
Date

MISSING 

Distinct54
Distinct (%)100.0%
Missing32
Missing (%)37.2%
Memory size820.0 B
Minimum1997-02-05 00:00:00
Maximum2024-01-18 00:00:00
2024-05-11T14:44:22.450763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:22.656789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

전화번호
Text

MISSING 

Distinct58
Distinct (%)93.5%
Missing24
Missing (%)27.9%
Memory size820.0 B
2024-05-11T14:44:22.960749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.112903
Min length9

Characters and Unicode

Total characters627
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

Unique54 ?
Unique (%)87.1%

Sample

1st row02 9841234
2nd row02 9218053
3rd row0236720226
4th row02 9415044
5th row02 9120071
ValueCountFrequency (%)
02 52
44.4%
9590500 2
 
1.7%
0221171023 2
 
1.7%
9415044 2
 
1.7%
9625400 2
 
1.7%
9210894 1
 
0.9%
9215995 1
 
0.9%
9185651 1
 
0.9%
9144488 1
 
0.9%
9195445 1
 
0.9%
Other values (52) 52
44.4%
2024-05-11T14:44:23.410218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 115
18.3%
2 108
17.2%
9 78
12.4%
1 61
9.7%
60
9.6%
4 48
7.7%
3 41
 
6.5%
5 38
 
6.1%
6 31
 
4.9%
7 25
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 567
90.4%
Space Separator 60
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 115
20.3%
2 108
19.0%
9 78
13.8%
1 61
10.8%
4 48
8.5%
3 41
 
7.2%
5 38
 
6.7%
6 31
 
5.5%
7 25
 
4.4%
8 22
 
3.9%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 627
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 115
18.3%
2 108
17.2%
9 78
12.4%
1 61
9.7%
60
9.6%
4 48
7.7%
3 41
 
6.5%
5 38
 
6.1%
6 31
 
4.9%
7 25
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 115
18.3%
2 108
17.2%
9 78
12.4%
1 61
9.7%
60
9.6%
4 48
7.7%
3 41
 
6.5%
5 38
 
6.1%
6 31
 
4.9%
7 25
 
4.0%

소재지면적
Text

MISSING 

Distinct75
Distinct (%)93.8%
Missing6
Missing (%)7.0%
Memory size820.0 B
2024-05-11T14:44:23.749472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.2625
Min length6

Characters and Unicode

Total characters501
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

Unique70 ?
Unique (%)87.5%

Sample

1st row1,079.04
2nd row1,103.00
3rd row544.00
4th row341.19
5th row635.00
ValueCountFrequency (%)
1,113.35 2
 
2.5%
556.00 2
 
2.5%
838.29 2
 
2.5%
560.40 2
 
2.5%
360.62 2
 
2.5%
601.50 1
 
1.2%
1,079.04 1
 
1.2%
456.00 1
 
1.2%
568.03 1
 
1.2%
619.40 1
 
1.2%
Other values (65) 65
81.2%
2024-05-11T14:44:24.271920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 100
20.0%
. 80
16.0%
5 46
9.2%
3 44
8.8%
6 37
 
7.4%
1 36
 
7.2%
4 36
 
7.2%
8 32
 
6.4%
9 32
 
6.4%
2 31
 
6.2%
Other values (2) 27
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 413
82.4%
Other Punctuation 88
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 100
24.2%
5 46
11.1%
3 44
10.7%
6 37
 
9.0%
1 36
 
8.7%
4 36
 
8.7%
8 32
 
7.7%
9 32
 
7.7%
2 31
 
7.5%
7 19
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 80
90.9%
, 8
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common 501
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 100
20.0%
. 80
16.0%
5 46
9.2%
3 44
8.8%
6 37
 
7.4%
1 36
 
7.2%
4 36
 
7.2%
8 32
 
6.4%
9 32
 
6.4%
2 31
 
6.2%
Other values (2) 27
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 100
20.0%
. 80
16.0%
5 46
9.2%
3 44
8.8%
6 37
 
7.4%
1 36
 
7.2%
4 36
 
7.2%
8 32
 
6.4%
9 32
 
6.4%
2 31
 
6.2%
Other values (2) 27
 
5.4%

소재지우편번호
Text

Distinct43
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:44:24.608128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1627907
Min length6

Characters and Unicode

Total characters530
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

Unique21 ?
Unique (%)24.4%

Sample

1st row136800
2nd row136060
3rd row136-823
4th row136829
5th row136035
ValueCountFrequency (%)
136863 6
 
7.0%
136818 5
 
5.8%
136829 5
 
5.8%
136130 5
 
5.8%
136826 4
 
4.7%
136060 4
 
4.7%
136871 3
 
3.5%
136051 3
 
3.5%
136877 3
 
3.5%
136864 3
 
3.5%
Other values (33) 45
52.3%
2024-05-11T14:44:25.097784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 122
23.0%
3 110
20.8%
6 110
20.8%
8 60
11.3%
0 48
 
9.1%
2 18
 
3.4%
5 18
 
3.4%
- 14
 
2.6%
7 12
 
2.3%
4 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 516
97.4%
Dash Punctuation 14
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 122
23.6%
3 110
21.3%
6 110
21.3%
8 60
11.6%
0 48
 
9.3%
2 18
 
3.5%
5 18
 
3.5%
7 12
 
2.3%
4 12
 
2.3%
9 6
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 122
23.0%
3 110
20.8%
6 110
20.8%
8 60
11.3%
0 48
 
9.1%
2 18
 
3.4%
5 18
 
3.4%
- 14
 
2.6%
7 12
 
2.3%
4 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 122
23.0%
3 110
20.8%
6 110
20.8%
8 60
11.3%
0 48
 
9.1%
2 18
 
3.4%
5 18
 
3.4%
- 14
 
2.6%
7 12
 
2.3%
4 12
 
2.3%

지번주소
Text

Distinct80
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:44:25.432628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length37
Mean length27.662791
Min length18

Characters and Unicode

Total characters2379
Distinct characters135
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

Unique74 ?
Unique (%)86.0%

Sample

1st row서울특별시 성북구 길음동 25-1
2nd row서울특별시 성북구 돈암동 609-1 스카이프라자 동관 1401호
3rd row서울특별시 성북구 성북동 94-1
4th row서울특별시 성북구 장위동 68-3 68-1054, 238-518
5th row서울특별시 성북구 동소문동5가 75
ValueCountFrequency (%)
서울특별시 86
19.3%
성북구 86
19.3%
장위동 15
 
3.4%
하월곡동 13
 
2.9%
석관동 12
 
2.7%
길음동 11
 
2.5%
종암동 9
 
2.0%
지하1층 8
 
1.8%
돈암동 8
 
1.8%
정릉동 5
 
1.1%
Other values (139) 193
43.3%
2024-05-11T14:44:25.906313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
 
17.7%
1 128
 
5.4%
동 106
 
4.5%
시 90
 
3.8%
성 89
 
3.7%
북 88
 
3.7%
구 86
 
3.6%
울 86
 
3.6%
서 86
 
3.6%
특 86
 
3.6%
Other values (125) 1114
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1361
57.2%
Decimal Number 463
 
19.5%
Space Separator 420
 
17.7%
Dash Punctuation 65
 
2.7%
Other Punctuation 22
 
0.9%
Open Punctuation 16
 
0.7%
Close Punctuation 16
 
0.7%
Uppercase Letter 15
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
 
7.8%
시 90
 
6.6%
성 89
 
6.5%
북 88
 
6.5%
구 86
 
6.3%
울 86
 
6.3%
서 86
 
6.3%
특 86
 
6.3%
별 86
 
6.3%
하 33
 
2.4%
Other values (102) 525
38.6%
Decimal Number
ValueCountFrequency (%)
1 128
27.6%
0 66
14.3%
2 63
13.6%
4 48
 
10.4%
3 36
 
7.8%
6 34
 
7.3%
7 27
 
5.8%
5 26
 
5.6%
8 19
 
4.1%
9 16
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 9
60.0%
A 2
 
13.3%
L 1
 
6.7%
G 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
@ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1361
57.2%
Common 1003
42.2%
Latin 15
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
 
7.8%
시 90
 
6.6%
성 89
 
6.5%
북 88
 
6.5%
구 86
 
6.3%
울 86
 
6.3%
서 86
 
6.3%
특 86
 
6.3%
별 86
 
6.3%
하 33
 
2.4%
Other values (102) 525
38.6%
Common
ValueCountFrequency (%)
420
41.9%
1 128
 
12.8%
0 66
 
6.6%
- 65
 
6.5%
2 63
 
6.3%
4 48
 
4.8%
3 36
 
3.6%
6 34
 
3.4%
7 27
 
2.7%
5 26
 
2.6%
Other values (7) 90
 
9.0%
Latin
ValueCountFrequency (%)
B 9
60.0%
A 2
 
13.3%
L 1
 
6.7%
G 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1361
57.2%
ASCII 1018
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
41.3%
1 128
 
12.6%
0 66
 
6.5%
- 65
 
6.4%
2 63
 
6.2%
4 48
 
4.7%
3 36
 
3.5%
6 34
 
3.3%
7 27
 
2.7%
5 26
 
2.6%
Other values (13) 105
 
10.3%
Hangul
ValueCountFrequency (%)
동 106
 
7.8%
시 90
 
6.6%
성 89
 
6.5%
북 88
 
6.5%
구 86
 
6.3%
울 86
 
6.3%
서 86
 
6.3%
특 86
 
6.3%
별 86
 
6.3%
하 33
 
2.4%
Other values (102) 525
38.6%

도로명주소
Text

MISSING 

Distinct60
Distinct (%)98.4%
Missing25
Missing (%)29.1%
Memory size820.0 B
2024-05-11T14:44:26.247345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length48
Mean length38.409836
Min length22

Characters and Unicode

Total characters2343
Distinct characters143
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

Unique59 ?
Unique (%)96.7%

Sample

1st row서울특별시 성북구 성북로4길 52 (돈암동,스카이프라자 동관 1401호)
2nd row서울특별시 성북구 성북로 122, 지하1층 (성북동)
3rd row서울특별시 성북구 장위로 126 (장위동,68-1054, 238-518)
4th row서울특별시 성북구 동소문로 98, 지하1층 (동소문동5가)
5th row서울특별시 성북구 정릉로44길 7 (돈암동,현대상가 지하2층)
ValueCountFrequency (%)
서울특별시 61
 
14.8%
성북구 61
 
14.8%
지하1층 16
 
3.9%
길음동 8
 
1.9%
하월곡동 8
 
1.9%
장위동 7
 
1.7%
지상1층 7
 
1.7%
종암동 7
 
1.7%
1층 6
 
1.5%
석관동 6
 
1.5%
Other values (158) 224
54.5%
2024-05-11T14:44:26.885121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
352
 
15.0%
1 120
 
5.1%
, 98
 
4.2%
동 89
 
3.8%
) 73
 
3.1%
( 73
 
3.1%
성 68
 
2.9%
북 68
 
2.9%
시 64
 
2.7%
로 61
 
2.6%
Other values (133) 1277
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1349
57.6%
Decimal Number 366
 
15.6%
Space Separator 352
 
15.0%
Other Punctuation 99
 
4.2%
Close Punctuation 73
 
3.1%
Open Punctuation 73
 
3.1%
Uppercase Letter 19
 
0.8%
Dash Punctuation 6
 
0.3%
Math Symbol 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 89
 
6.6%
성 68
 
5.0%
북 68
 
5.0%
시 64
 
4.7%
로 61
 
4.5%
울 61
 
4.5%
서 61
 
4.5%
구 61
 
4.5%
별 61
 
4.5%
특 61
 
4.5%
Other values (113) 694
51.4%
Decimal Number
ValueCountFrequency (%)
1 120
32.8%
2 52
14.2%
4 34
 
9.3%
0 33
 
9.0%
5 32
 
8.7%
6 28
 
7.7%
3 18
 
4.9%
8 17
 
4.6%
7 17
 
4.6%
9 15
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 17
89.5%
L 1
 
5.3%
G 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 98
99.0%
@ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1349
57.6%
Common 975
41.6%
Latin 19
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 89
 
6.6%
성 68
 
5.0%
북 68
 
5.0%
시 64
 
4.7%
로 61
 
4.5%
울 61
 
4.5%
서 61
 
4.5%
구 61
 
4.5%
별 61
 
4.5%
특 61
 
4.5%
Other values (113) 694
51.4%
Common
ValueCountFrequency (%)
352
36.1%
1 120
 
12.3%
, 98
 
10.1%
) 73
 
7.5%
( 73
 
7.5%
2 52
 
5.3%
4 34
 
3.5%
0 33
 
3.4%
5 32
 
3.3%
6 28
 
2.9%
Other values (7) 80
 
8.2%
Latin
ValueCountFrequency (%)
B 17
89.5%
L 1
 
5.3%
G 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1349
57.6%
ASCII 994
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
352
35.4%
1 120
 
12.1%
, 98
 
9.9%
) 73
 
7.3%
( 73
 
7.3%
2 52
 
5.2%
4 34
 
3.4%
0 33
 
3.3%
5 32
 
3.2%
6 28
 
2.8%
Other values (10) 99
 
10.0%
Hangul
ValueCountFrequency (%)
동 89
 
6.6%
성 68
 
5.0%
북 68
 
5.0%
시 64
 
4.7%
로 61
 
4.5%
울 61
 
4.5%
서 61
 
4.5%
구 61
 
4.5%
별 61
 
4.5%
특 61
 
4.5%
Other values (113) 694
51.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)59.3%
Missing27
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean2777.7797
Minimum2710
Maximum2880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:44:27.088322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2710
5-th percentile2720.6
Q12741
median2770
Q32804.5
95-th percentile2846.2
Maximum2880
Range170
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation44.851505
Coefficient of variation (CV)0.016146531
Kurtosis-0.93059732
Mean2777.7797
Median Absolute Deviation (MAD)33
Skewness0.34907175
Sum163889
Variance2011.6575
MonotonicityNot monotonic
2024-05-11T14:44:27.271806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2721 5
 
5.8%
2751 4
 
4.7%
2741 3
 
3.5%
2798 3
 
3.5%
2730 3
 
3.5%
2845 3
 
3.5%
2802 2
 
2.3%
2787 2
 
2.3%
2803 2
 
2.3%
2710 2
 
2.3%
Other values (25) 30
34.9%
(Missing) 27
31.4%
ValueCountFrequency (%)
2710 2
 
2.3%
2717 1
 
1.2%
2721 5
5.8%
2729 1
 
1.2%
2730 3
3.5%
2734 1
 
1.2%
2738 1
 
1.2%
2741 3
3.5%
2750 1
 
1.2%
2751 4
4.7%
ValueCountFrequency (%)
2880 1
 
1.2%
2860 1
 
1.2%
2848 1
 
1.2%
2846 2
2.3%
2845 3
3.5%
2837 1
 
1.2%
2831 2
2.3%
2828 1
 
1.2%
2827 1
 
1.2%
2806 2
2.3%

사업장명
Text

Distinct84
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:44:27.568471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.255814
Min length2

Characters and Unicode

Total characters710
Distinct characters156
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

Unique82 ?
Unique (%)95.3%

Sample

1st row(주)신세계미아점식품부
2nd row(주)지에스리테일
3rd row(주)이마트에브리데이 성북동점
4th row드림마트체인(장위점)
5th row(주)해태유통 돈암영업소
ValueCountFrequency (%)
주)이마트에브리데이 3
 
2.9%
엘마트 2
 
1.9%
롯데쇼핑(주 2
 
1.9%
장위점 2
 
1.9%
럭키할인마트 2
 
1.9%
주)해태유통 2
 
1.9%
드림마트 2
 
1.9%
종암점 2
 
1.9%
마트 2
 
1.9%
롯데슈퍼 2
 
1.9%
Other values (83) 83
79.8%
2024-05-11T14:44:28.036574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 61
 
8.6%
트 57
 
8.0%
( 35
 
4.9%
) 35
 
4.9%
주 30
 
4.2%
점 24
 
3.4%
18
 
2.5%
이 17
 
2.4%
장 11
 
1.5%
로 10
 
1.4%
Other values (146) 412
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
83.8%
Open Punctuation 35
 
4.9%
Close Punctuation 35
 
4.9%
Space Separator 18
 
2.5%
Uppercase Letter 10
 
1.4%
Decimal Number 7
 
1.0%
Lowercase Letter 7
 
1.0%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 61
 
10.3%
트 57
 
9.6%
주 30
 
5.0%
점 24
 
4.0%
이 17
 
2.9%
장 11
 
1.8%
로 10
 
1.7%
리 10
 
1.7%
데 10
 
1.7%
스 10
 
1.7%
Other values (123) 355
59.7%
Lowercase Letter
ValueCountFrequency (%)
r 1
14.3%
t 1
14.3%
a 1
14.3%
m 1
14.3%
s 1
14.3%
u 1
14.3%
l 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
K 3
30.0%
B 1
 
10.0%
G 1
 
10.0%
P 1
 
10.0%
O 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
9 3
42.9%
2 2
28.6%
4 1
 
14.3%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
? 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
83.8%
Common 98
 
13.8%
Latin 17
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 61
 
10.3%
트 57
 
9.6%
주 30
 
5.0%
점 24
 
4.0%
이 17
 
2.9%
장 11
 
1.8%
로 10
 
1.7%
리 10
 
1.7%
데 10
 
1.7%
스 10
 
1.7%
Other values (123) 355
59.7%
Latin
ValueCountFrequency (%)
S 3
17.6%
K 3
17.6%
B 1
 
5.9%
r 1
 
5.9%
t 1
 
5.9%
a 1
 
5.9%
m 1
 
5.9%
s 1
 
5.9%
G 1
 
5.9%
u 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
( 35
35.7%
) 35
35.7%
18
18.4%
9 3
 
3.1%
2 2
 
2.0%
- 1
 
1.0%
4 1
 
1.0%
. 1
 
1.0%
? 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
83.8%
ASCII 115
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 61
 
10.3%
트 57
 
9.6%
주 30
 
5.0%
점 24
 
4.0%
이 17
 
2.9%
장 11
 
1.8%
로 10
 
1.7%
리 10
 
1.7%
데 10
 
1.7%
스 10
 
1.7%
Other values (123) 355
59.7%
ASCII
ValueCountFrequency (%)
( 35
30.4%
) 35
30.4%
18
15.7%
S 3
 
2.6%
9 3
 
2.6%
K 3
 
2.6%
2 2
 
1.7%
- 1
 
0.9%
B 1
 
0.9%
4 1
 
0.9%
Other values (13) 13
 
11.3%

최종수정일자
Date

Distinct74
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2002-02-04 00:00:00
Maximum2024-05-07 17:15:46
2024-05-11T14:44:28.193835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:28.354450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
I
55 
U
31 

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 55
64.0%
U 31
36.0%

Length

2024-05-11T14:44:28.520594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:28.675534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 55
64.0%
u 31
36.0%

데이터갱신일자
Categorical

Distinct39
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
2018-08-31 23:59:59.0
46 
2023-12-03 23:03:00.0
 
2
2022-01-02 02:40:00.0
 
2
2020-12-04 02:40:00.0
 
1
2021-04-29 02:40:00.0
 
1
Other values (34)
34 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique36 ?
Unique (%)41.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2023-12-05 00:05:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 46
53.5%
2023-12-03 23:03:00.0 2
 
2.3%
2022-01-02 02:40:00.0 2
 
2.3%
2020-12-04 02:40:00.0 1
 
1.2%
2021-04-29 02:40:00.0 1
 
1.2%
2023-12-05 00:05:00.0 1
 
1.2%
2020-06-12 02:40:00.0 1
 
1.2%
2021-12-05 00:07:00.0 1
 
1.2%
2019-12-20 02:40:00.0 1
 
1.2%
2022-11-01 23:00:00.0 1
 
1.2%
Other values (29) 29
33.7%

Length

2024-05-11T14:44:28.804666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 46
26.7%
23:59:59.0 46
26.7%
02:40:00.0 16
 
9.3%
2022-12-04 3
 
1.7%
2023-11-30 2
 
1.2%
2021-12-04 2
 
1.2%
2022-11-01 2
 
1.2%
2023-12-01 2
 
1.2%
00:07:00.0 2
 
1.2%
22:05:00.0 2
 
1.2%
Other values (43) 49
28.5%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
기타식품판매업
86 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 86
100.0%

Length

2024-05-11T14:44:28.969300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:29.103617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 86
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)60.0%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean202981.9
Minimum199586.32
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:44:29.230800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199586.32
5-th percentile200824.6
Q1201644.54
median202993.25
Q3204367.35
95-th percentile205410.07
Maximum205996.72
Range6410.4011
Interquartile range (IQR)2722.812

Descriptive statistics

Standard deviation1580.5365
Coefficient of variation (CV)0.0077865887
Kurtosis-0.91924282
Mean202981.9
Median Absolute Deviation (MAD)1374.1026
Skewness0.12805285
Sum17253461
Variance2498095.8
MonotonicityNot monotonic
2024-05-11T14:44:29.421133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205020.608686581 4
 
4.7%
204367.347787613 4
 
4.7%
205254.262597746 4
 
4.7%
200824.604254737 3
 
3.5%
203069.087934788 3
 
3.5%
200841.726990037 3
 
3.5%
203196.800963466 3
 
3.5%
205996.717928956 3
 
3.5%
202819.871767584 3
 
3.5%
202124.690868117 3
 
3.5%
Other values (41) 52
60.5%
ValueCountFrequency (%)
199586.316865115 1
 
1.2%
200142.840558768 1
 
1.2%
200784.156749788 1
 
1.2%
200805.656651886 1
 
1.2%
200824.604254737 3
3.5%
200841.726990037 3
3.5%
200857.722173421 1
 
1.2%
201050.408275543 1
 
1.2%
201261.184858384 1
 
1.2%
201358.893989884 3
3.5%
ValueCountFrequency (%)
205996.717928956 3
3.5%
205729.347626245 1
 
1.2%
205449.027340692 1
 
1.2%
205254.262597746 4
4.7%
205020.608686581 4
4.7%
204958.405518224 2
2.3%
204863.842674893 1
 
1.2%
204576.581260975 1
 
1.2%
204452.235965998 1
 
1.2%
204430.559791867 1
 
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)60.0%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean455878.23
Minimum454018.19
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:44:29.622518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum454018.19
5-th percentile454351.32
Q1455458.02
median456008.53
Q3456567.34
95-th percentile456851.38
Maximum457844.35
Range3826.1544
Interquartile range (IQR)1109.3122

Descriptive statistics

Standard deviation874.76057
Coefficient of variation (CV)0.001918847
Kurtosis-0.42070978
Mean455878.23
Median Absolute Deviation (MAD)558.80935
Skewness-0.34895105
Sum38749650
Variance765206.05
MonotonicityNot monotonic
2024-05-11T14:44:29.810201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456783.766604012 4
 
4.7%
456732.945005445 4
 
4.7%
456319.556671704 4
 
4.7%
456284.330878228 3
 
3.5%
456567.33684691 3
 
3.5%
454721.505180141 3
 
3.5%
455429.846270094 3
 
3.5%
456704.522324447 3
 
3.5%
455458.024657239 3
 
3.5%
455479.322312286 3
 
3.5%
Other values (41) 52
60.5%
ValueCountFrequency (%)
454018.193573792 2
2.3%
454138.3877395 1
 
1.2%
454225.117900346 1
 
1.2%
454335.984501904 1
 
1.2%
454412.661622359 1
 
1.2%
454439.085102224 3
3.5%
454526.361323164 1
 
1.2%
454611.252488482 1
 
1.2%
454632.316678757 1
 
1.2%
454721.505180141 3
3.5%
ValueCountFrequency (%)
457844.348010616 1
 
1.2%
457664.961911112 1
 
1.2%
457437.789670966 1
 
1.2%
457160.166291181 1
 
1.2%
456868.283556492 1
 
1.2%
456783.766604012 4
4.7%
456770.342906292 1
 
1.2%
456761.672987092 1
 
1.2%
456732.945005445 4
4.7%
456729.698483977 1
 
1.2%

위생업태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
기타식품판매업
66 
<NA>
20 

Length

Max length7
Median length7
Mean length6.3023256
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 66
76.7%
<NA> 20
 
23.3%

Length

2024-05-11T14:44:30.003129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:30.154132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 66
76.7%
na 20
 
23.3%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing73
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean2.3076923
Minimum0
Maximum7
Zeros4
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:44:30.263076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile5.8
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.358835
Coefficient of variation (CV)1.0221618
Kurtosis-0.71741827
Mean2.3076923
Median Absolute Deviation (MAD)1
Skewness0.69025361
Sum30
Variance5.5641026
MonotonicityNot monotonic
2024-05-11T14:44:30.390386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4
 
4.7%
1 3
 
3.5%
3 2
 
2.3%
5 2
 
2.3%
7 1
 
1.2%
4 1
 
1.2%
(Missing) 73
84.9%
ValueCountFrequency (%)
0 4
4.7%
1 3
3.5%
3 2
2.3%
4 1
 
1.2%
5 2
2.3%
7 1
 
1.2%
ValueCountFrequency (%)
7 1
 
1.2%
5 2
2.3%
4 1
 
1.2%
3 2
2.3%
1 3
3.5%
0 4
4.7%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)50.0%
Missing74
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum0
Maximum45
Zeros5
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:44:30.529480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile25.75
Maximum45
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.616728
Coefficient of variation (CV)1.6822304
Kurtosis8.3702367
Mean7.5
Median Absolute Deviation (MAD)3
Skewness2.7412412
Sum90
Variance159.18182
MonotonicityNot monotonic
2024-05-11T14:44:30.634079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
5.8%
10 3
 
3.5%
45 1
 
1.2%
4 1
 
1.2%
2 1
 
1.2%
9 1
 
1.2%
(Missing) 74
86.0%
ValueCountFrequency (%)
0 5
5.8%
2 1
 
1.2%
4 1
 
1.2%
9 1
 
1.2%
10 3
3.5%
45 1
 
1.2%
ValueCountFrequency (%)
45 1
 
1.2%
10 3
3.5%
9 1
 
1.2%
4 1
 
1.2%
2 1
 
1.2%
0 5
5.8%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
77 
주택가주변
 
7
아파트지역
 
1
기타
 
1

Length

Max length5
Median length4
Mean length4.0697674
Min length2

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
89.5%
주택가주변 7
 
8.1%
아파트지역 1
 
1.2%
기타 1
 
1.2%

Length

2024-05-11T14:44:30.776876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:30.909188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
89.5%
주택가주변 7
 
8.1%
아파트지역 1
 
1.2%
기타 1
 
1.2%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
77 
자율
 
5
기타
 
4

Length

Max length4
Median length4
Mean length3.7906977
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
89.5%
자율 5
 
5.8%
기타 4
 
4.7%

Length

2024-05-11T14:44:31.058353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:31.521545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
89.5%
자율 5
 
5.8%
기타 4
 
4.7%

급수시설구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
73 
상수도전용
13 

Length

Max length5
Median length4
Mean length4.1511628
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
84.9%
상수도전용 13
 
15.1%

Length

2024-05-11T14:44:31.719285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:31.914628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
84.9%
상수도전용 13
 
15.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
82 
0
 
4

Length

Max length4
Median length4
Mean length3.8604651
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> 82
95.3%
0 4
 
4.7%

Length

2024-05-11T14:44:32.097131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:32.220350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
95.3%
0 4
 
4.7%

본사종업원수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
44 
0
42 

Length

Max length4
Median length4
Mean length2.5348837
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
51.2%
0 42
48.8%

Length

2024-05-11T14:44:32.364652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:32.486113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
51.2%
0 42
48.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
44 
0
42 

Length

Max length4
Median length4
Mean length2.5348837
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
51.2%
0 42
48.8%

Length

2024-05-11T14:44:32.597948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:32.701855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
51.2%
0 42
48.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
44 
0
42 

Length

Max length4
Median length4
Mean length2.5348837
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
51.2%
0 42
48.8%

Length

2024-05-11T14:44:32.823324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:32.940446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
51.2%
0 42
48.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
44 
0
42 

Length

Max length4
Median length4
Mean length2.5348837
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
51.2%
0 42
48.8%

Length

2024-05-11T14:44:33.067600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:33.172936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
51.2%
0 42
48.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
50 
임대
27 
자가
9 

Length

Max length4
Median length4
Mean length3.1627907
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> 50
58.1%
임대 27
31.4%
자가 9
 
10.5%

Length

2024-05-11T14:44:33.287961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:33.429881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
58.1%
임대 27
31.4%
자가 9
 
10.5%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
80 
0
 
6

Length

Max length4
Median length4
Mean length3.7906977
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> 80
93.0%
0 6
 
7.0%

Length

2024-05-11T14:44:33.587688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:33.706543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
93.0%
0 6
 
7.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
80 
0
 
6

Length

Max length4
Median length4
Mean length3.7906977
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> 80
93.0%
0 6
 
7.0%

Length

2024-05-11T14:44:33.815895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:33.928714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
93.0%
0 6
 
7.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.5%
Missing20
Missing (%)23.3%
Memory size304.0 B
False
66 
(Missing)
20 
ValueCountFrequency (%)
False 66
76.7%
(Missing) 20
 
23.3%
2024-05-11T14:44:34.009426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
0.0
64 
<NA>
20 
4.25
 
1
621.52
 
1

Length

Max length6
Median length3
Mean length3.2790698
Min length3

Unique

Unique2 ?
Unique (%)2.3%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 64
74.4%
<NA> 20
 
23.3%
4.25 1
 
1.2%
621.52 1
 
1.2%

Length

2024-05-11T14:44:34.111417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:34.242341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 64
74.4%
na 20
 
23.3%
4.25 1
 
1.2%
621.52 1
 
1.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030700003070000-114-1990-0055119900504<NA>3폐업2폐업20070220<NA><NA><NA>02 98412341,079.04136800서울특별시 성북구 길음동 25-1<NA><NA>(주)신세계미아점식품부2004-04-07 00:00:00I2018-08-31 23:59:59.0기타식품판매업202545.857383456560.343337기타식품판매업745주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130700003070000-114-1995-0055219951128<NA>1영업/정상1영업<NA><NA><NA><NA>02 92180531,103.00136060서울특별시 성북구 돈암동 609-1 스카이프라자 동관 1401호서울특별시 성북구 성북로4길 52 (돈암동,스카이프라자 동관 1401호)2831(주)지에스리테일2016-01-27 15:57:58I2018-08-31 23:59:59.0기타식품판매업200841.72699454721.50518기타식품판매업1<NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230700003070000-114-1996-005531996-06-27<NA>1영업/정상1영업<NA><NA><NA><NA>0236720226544.00136-823서울특별시 성북구 성북동 94-1서울특별시 성북구 성북로 122, 지하1층 (성북동)2837(주)이마트에브리데이 성북동점2024-05-03 14:55:20U2023-12-05 00:05:00.0기타식품판매업199586.316865454632.316679<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330700003070000-114-1996-0055719960629<NA>3폐업2폐업20130806<NA><NA><NA>02 9415044341.19136829서울특별시 성북구 장위동 68-3 68-1054, 238-518서울특별시 성북구 장위로 126 (장위동,68-1054, 238-518)2770드림마트체인(장위점)2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업204452.235966456729.698484기타식품판매업10주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430700003070000-114-1996-0055819960627<NA>3폐업2폐업19980526<NA><NA><NA><NA>635.00136035서울특별시 성북구 동소문동5가 75<NA><NA>(주)해태유통 돈암영업소2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업201358.89399454439.085102기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530700003070000-114-1996-0055919960627<NA>3폐업2폐업19980203<NA><NA><NA><NA><NA>136829서울특별시 성북구 장위동 68-1014<NA><NA>(주)해태유통 장위영업소2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업204367.347788456732.945005기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630700003070000-114-1996-0056019960629<NA>3폐업2폐업20000704<NA><NA><NA><NA><NA>136813서울특별시 성북구 돈암동 624<NA><NA>경우회성북매장2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업202124.690868455479.322312기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730700003070000-114-1996-0056119960921<NA>3폐업2폐업20000925<NA><NA><NA><NA><NA>136130서울특별시 성북구 하월곡동 79-106 ,107<NA><NA>코사월곡2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업203061.410685456592.677009기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830700003070000-114-1997-0000119970205<NA>3폐업2폐업19970205<NA><NA><NA><NA><NA>136826서울특별시 성북구 장위동 60-1<NA><NA>제원유통2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업205020.608687456783.766604기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930700003070000-114-1997-0000219971224<NA>3폐업2폐업20000124<NA><NA><NA><NA><NA>136110서울특별시 성북구 길음동 535-8 , 22<NA><NA>두레장터2002-02-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업201852.588542455598.947534기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
7630700003070000-114-2020-0000120200703<NA>1영업/정상1영업<NA><NA><NA><NA><NA>560.40136871서울특별시 성북구 하월곡동 79-107 에스엠메디칼서울특별시 성북구 월계로 52, 에스엠메디칼 지하1층 B1,B2호 (하월곡동)2741진로할인마트2020-07-03 13:49:52I2020-07-05 00:23:17.0기타식품판매업203069.087935456567.336847기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
7730700003070000-114-2021-0000120210429<NA>1영업/정상1영업<NA><NA><NA><NA><NA>556.00136863서울특별시 성북구 종암동 3-1342 청한빌딩서울특별시 성북구 종암로 129, 청한빌딩 1층층 (종암동)2803웰빙마트2021-04-29 14:38:25I2021-05-01 00:23:12.0기타식품판매업202819.871768455458.024657기타식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
7830700003070000-114-2021-0000220210518<NA>3폐업2폐업20220331<NA><NA><NA><NA>758.80136864서울특별시 성북구 종암동 104-1 종암에스케이아파트서울특별시 성북구 종암로24가길 53, 지하1층 36호일부~44호 (종암동, 종암에스케이아파트)2798종암SK할인마트2022-04-05 13:58:19U2021-12-04 00:07:00.0기타식품판매업203196.800963455429.84627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7930700003070000-114-2021-0000320210910<NA>1영업/정상1영업<NA><NA><NA><NA>02 923 4287305.09136863서울특별시 성북구 종암동 124-47서울특별시 성북구 종암로21길 116, 1층 (종암동)2802(주)종암진로마트2021-09-10 11:35:41I2021-09-12 00:22:49.0기타식품판매업202659.230947455662.784254기타식품판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
8030700003070000-114-2022-0000120220422<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1,402.22136864서울특별시 성북구 종암동 104-1 종암에스케이아파트서울특별시 성북구 종암로24가길 53, 상가동 B09,B10,B36~B44,B44-1호 (종암동, 종암에스케이아파트)2798(주)이마트에브리데이 종암점2022-04-22 17:17:33I2021-12-03 22:04:00.0기타식품판매업203196.800963455429.84627<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8130700003070000-114-2022-0000220220517<NA>1영업/정상1영업<NA><NA><NA><NA><NA>655.78136758서울특별시 성북구 돈암동 624 돈암현대아파트서울특별시 성북구 정릉로44길 7, 나동 지하1,2층 (돈암동, 돈암현대아파트)2806플러스마트2022-05-17 14:49:24I2021-12-04 23:09:00.0기타식품판매업202124.690868455479.322312<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8230700003070000-114-2022-0000320220823<NA>1영업/정상1영업<NA><NA><NA><NA><NA>988.41136863서울특별시 성북구 종암동 88-1 LG하이프라자서울특별시 성북구 종암로 102, LG하이프라자 1, 2층 (종암동)2797레몬플러스마트2022-08-23 15:53:18I2021-12-07 22:05:00.0기타식품판매업202993.245171455225.325842<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8330700003070000-114-2023-000012023-02-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1376.80136-832서울특별시 성북구 장위동 301 번동시장서울특별시 성북구 한천로101길 59, 번동시장 1층 (장위동)2758대명마트2023-02-07 11:29:26I2022-12-02 00:09:00.0기타식품판매업204162.777673457664.961911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8430700003070000-114-2023-000022023-04-07<NA>1영업/정상1영업<NA><NA><NA><NA>023805894825.39136-110서울특별시 성북구 길음동 1286-10 길음뉴타운9단지래미안 상가서울특별시 성북구 길음로7길 6, 길음뉴타운9단지래미안 상가 제상가동 (길음동)2721(주)이마트에브리데이 길음점2024-05-07 17:15:46U2023-12-05 00:09:00.0기타식품판매업201912.435616455775.861032<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8530700003070000-114-2024-000012024-01-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>879.88136-035서울특별시 성북구 동소문동5가 75서울특별시 성북구 동소문로 98, 지하1층 (동소문동5가)2846(주)대서양식자재마트2024-01-26 14:23:11I2023-11-30 22:08:00.0기타식품판매업201358.89399454439.085102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>