Overview

Dataset statistics

Number of variables44
Number of observations65
Missing cells603
Missing cells (%)21.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.9 KiB
Average record size in memory377.0 B

Variable types

Categorical21
Text7
DateTime4
Unsupported7
Numeric4
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18308/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
총인원 is highly imbalanced (60.9%)Imbalance
보증액 is highly imbalanced (50.7%)Imbalance
월세액 is highly imbalanced (50.7%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 24 (36.9%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 5 (7.7%) missing valuesMissing
소재지면적 has 1 (1.5%) missing valuesMissing
도로명주소 has 31 (47.7%) missing valuesMissing
도로명우편번호 has 31 (47.7%) missing valuesMissing
남성종사자수 has 42 (64.6%) missing valuesMissing
다중이용업소여부 has 14 (21.5%) missing valuesMissing
전통업소지정번호 has 65 (100.0%) missing valuesMissing
전통업소주된음식 has 65 (100.0%) missing valuesMissing
홈페이지 has 65 (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 16 (24.6%) zerosZeros

Reproduction

Analysis started2024-05-10 23:01:59.103973
Analysis finished2024-05-10 23:02:00.157658
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3060000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 65
100.0%

Length

2024-05-10T23:02:00.352951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:00.658473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-10T23:02:01.017717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1430
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

Unique65 ?
Unique (%)100.0%

Sample

1st row3060000-114-1996-00299
2nd row3060000-114-1996-00300
3rd row3060000-114-1996-00301
4th row3060000-114-1996-00302
5th row3060000-114-1996-00422
ValueCountFrequency (%)
3060000-114-1996-00299 1
 
1.5%
3060000-114-2005-00003 1
 
1.5%
3060000-114-2006-00001 1
 
1.5%
3060000-114-2006-00002 1
 
1.5%
3060000-114-2006-00003 1
 
1.5%
3060000-114-2006-00004 1
 
1.5%
3060000-114-2006-00005 1
 
1.5%
3060000-114-2007-00001 1
 
1.5%
3060000-114-2007-00002 1
 
1.5%
3060000-114-2007-00003 1
 
1.5%
Other values (55) 55
84.6%
2024-05-10T23:02:02.040495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 634
44.3%
- 195
 
13.6%
1 189
 
13.2%
3 94
 
6.6%
4 86
 
6.0%
6 82
 
5.7%
2 71
 
5.0%
9 47
 
3.3%
5 17
 
1.2%
7 11
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1235
86.4%
Dash Punctuation 195
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 634
51.3%
1 189
 
15.3%
3 94
 
7.6%
4 86
 
7.0%
6 82
 
6.6%
2 71
 
5.7%
9 47
 
3.8%
5 17
 
1.4%
7 11
 
0.9%
8 4
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 634
44.3%
- 195
 
13.6%
1 189
 
13.2%
3 94
 
6.6%
4 86
 
6.0%
6 82
 
5.7%
2 71
 
5.0%
9 47
 
3.3%
5 17
 
1.2%
7 11
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 634
44.3%
- 195
 
13.6%
1 189
 
13.2%
3 94
 
6.6%
4 86
 
6.0%
6 82
 
5.7%
2 71
 
5.0%
9 47
 
3.3%
5 17
 
1.2%
7 11
 
0.8%

인허가일자
Date

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1996-01-09 00:00:00
Maximum2022-08-11 00:00:00
2024-05-10T23:02:02.462225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:02.886712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
3
41 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 41
63.1%
1 24
36.9%

Length

2024-05-10T23:02:03.280755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:03.528558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
63.1%
1 24
36.9%

영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
41 
영업/정상
24 

Length

Max length5
Median length2
Mean length3.1076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 41
63.1%
영업/정상 24
36.9%

Length

2024-05-10T23:02:03.722444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:03.961739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
63.1%
영업/정상 24
36.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
2
41 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 41
63.1%
1 24
36.9%

Length

2024-05-10T23:02:04.289878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:04.602578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 41
63.1%
1 24
36.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
폐업
41 
영업
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 41
63.1%
영업 24
36.9%

Length

2024-05-10T23:02:04.907410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:05.086485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
63.1%
영업 24
36.9%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)97.6%
Missing24
Missing (%)36.9%
Memory size652.0 B
Minimum1997-11-19 00:00:00
Maximum2024-05-08 00:00:00
2024-05-10T23:02:05.281723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:05.678134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct52
Distinct (%)86.7%
Missing5
Missing (%)7.7%
Memory size652.0 B
2024-05-10T23:02:06.040169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.016667
Min length2

Characters and Unicode

Total characters601
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 (%)73.3%

Sample

1st row02 4335000
2nd row02 9720600
3rd row02
4th row02 4955501
5th row02 4341365
ValueCountFrequency (%)
02 44
39.6%
0234230100 2
 
1.8%
0234231256 2
 
1.8%
9797881 2
 
1.8%
9732100 2
 
1.8%
4938249 2
 
1.8%
4335000 2
 
1.8%
496 2
 
1.8%
0222075507 2
 
1.8%
493 2
 
1.8%
Other values (49) 49
44.1%
2024-05-10T23:02:06.677837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 136
22.6%
2 103
17.1%
61
10.1%
4 59
9.8%
3 57
9.5%
9 53
 
8.8%
5 36
 
6.0%
1 30
 
5.0%
8 27
 
4.5%
7 21
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
89.9%
Space Separator 61
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
25.2%
2 103
19.1%
4 59
10.9%
3 57
10.6%
9 53
 
9.8%
5 36
 
6.7%
1 30
 
5.6%
8 27
 
5.0%
7 21
 
3.9%
6 18
 
3.3%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 136
22.6%
2 103
17.1%
61
10.1%
4 59
9.8%
3 57
9.5%
9 53
 
8.8%
5 36
 
6.0%
1 30
 
5.0%
8 27
 
4.5%
7 21
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 136
22.6%
2 103
17.1%
61
10.1%
4 59
9.8%
3 57
9.5%
9 53
 
8.8%
5 36
 
6.0%
1 30
 
5.0%
8 27
 
4.5%
7 21
 
3.5%

소재지면적
Text

MISSING 

Distinct56
Distinct (%)87.5%
Missing1
Missing (%)1.5%
Memory size652.0 B
2024-05-10T23:02:07.044052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0625
Min length3

Characters and Unicode

Total characters388
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

Unique51 ?
Unique (%)79.7%

Sample

1st row.00
2nd row.00
3rd row320.50
4th row.00
5th row459.54
ValueCountFrequency (%)
00 5
 
7.8%
553.05 2
 
3.1%
656.70 2
 
3.1%
660.00 2
 
3.1%
792.00 2
 
3.1%
569.17 1
 
1.6%
339.92 1
 
1.6%
209.01 1
 
1.6%
314.30 1
 
1.6%
570.00 1
 
1.6%
Other values (46) 46
71.9%
2024-05-10T23:02:07.763990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
20.6%
. 64
16.5%
5 38
9.8%
3 32
 
8.2%
9 28
 
7.2%
2 25
 
6.4%
1 25
 
6.4%
7 24
 
6.2%
6 24
 
6.2%
4 23
 
5.9%
Other values (2) 25
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 318
82.0%
Other Punctuation 70
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
25.2%
5 38
11.9%
3 32
 
10.1%
9 28
 
8.8%
2 25
 
7.9%
1 25
 
7.9%
7 24
 
7.5%
6 24
 
7.5%
4 23
 
7.2%
8 19
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 64
91.4%
, 6
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common 388
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
20.6%
. 64
16.5%
5 38
9.8%
3 32
 
8.2%
9 28
 
7.2%
2 25
 
6.4%
1 25
 
6.4%
7 24
 
6.2%
6 24
 
6.2%
4 23
 
5.9%
Other values (2) 25
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 388
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
20.6%
. 64
16.5%
5 38
9.8%
3 32
 
8.2%
9 28
 
7.2%
2 25
 
6.4%
1 25
 
6.4%
7 24
 
6.2%
6 24
 
6.2%
4 23
 
5.9%
Other values (2) 25
 
6.4%

소재지우편번호
Text

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-10T23:02:08.180215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters403
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

Unique23 ?
Unique (%)35.4%

Sample

1st row131809
2nd row131848
3rd row131846
4th row131858
5th row131828
ValueCountFrequency (%)
131809 5
 
7.7%
131848 5
 
7.7%
131881 3
 
4.6%
131876 3
 
4.6%
131865 3
 
4.6%
131866 3
 
4.6%
131861 3
 
4.6%
131858 3
 
4.6%
131816 3
 
4.6%
131867 3
 
4.6%
Other values (27) 31
47.7%
2024-05-10T23:02:08.807604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 146
36.2%
8 82
20.3%
3 68
16.9%
6 31
 
7.7%
7 16
 
4.0%
- 13
 
3.2%
5 11
 
2.7%
0 10
 
2.5%
2 10
 
2.5%
9 8
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
96.8%
Dash Punctuation 13
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 146
37.4%
8 82
21.0%
3 68
17.4%
6 31
 
7.9%
7 16
 
4.1%
5 11
 
2.8%
0 10
 
2.6%
2 10
 
2.6%
9 8
 
2.1%
4 8
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 146
36.2%
8 82
20.3%
3 68
16.9%
6 31
 
7.7%
7 16
 
4.0%
- 13
 
3.2%
5 11
 
2.7%
0 10
 
2.5%
2 10
 
2.5%
9 8
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 146
36.2%
8 82
20.3%
3 68
16.9%
6 31
 
7.7%
7 16
 
4.0%
- 13
 
3.2%
5 11
 
2.7%
0 10
 
2.5%
2 10
 
2.5%
9 8
 
2.0%

지번주소
Text

Distinct57
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-10T23:02:09.382901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length33
Mean length23.276923
Min length17

Characters and Unicode

Total characters1513
Distinct characters86
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)76.9%

Sample

1st row서울특별시 중랑구 망우동 572-0
2nd row서울특별시 중랑구 묵동 165-0
3rd row서울특별시 중랑구 묵동 20-0 두산대림아파트 상가동 지1호
4th row서울특별시 중랑구 상봉동 83-1
5th row서울특별시 중랑구 면목동 650-0
ValueCountFrequency (%)
서울특별시 65
20.9%
중랑구 65
20.9%
신내동 17
 
5.5%
면목동 12
 
3.9%
중화동 10
 
3.2%
묵동 10
 
3.2%
상봉동 8
 
2.6%
망우동 8
 
2.6%
1층 6
 
1.9%
지1층 5
 
1.6%
Other values (82) 105
33.8%
2024-05-10T23:02:10.299707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
19.5%
중 75
 
5.0%
1 73
 
4.8%
동 70
 
4.6%
시 67
 
4.4%
구 66
 
4.4%
울 65
 
4.3%
서 65
 
4.3%
랑 65
 
4.3%
별 65
 
4.3%
Other values (76) 607
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 868
57.4%
Space Separator 295
 
19.5%
Decimal Number 285
 
18.8%
Dash Punctuation 50
 
3.3%
Other Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 75
 
8.6%
동 70
 
8.1%
시 67
 
7.7%
구 66
 
7.6%
울 65
 
7.5%
서 65
 
7.5%
랑 65
 
7.5%
별 65
 
7.5%
특 65
 
7.5%
신 21
 
2.4%
Other values (61) 244
28.1%
Decimal Number
ValueCountFrequency (%)
1 73
25.6%
0 40
14.0%
5 30
10.5%
2 28
 
9.8%
7 27
 
9.5%
6 24
 
8.4%
4 24
 
8.4%
3 14
 
4.9%
8 14
 
4.9%
9 11
 
3.9%
Space Separator
ValueCountFrequency (%)
295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 868
57.4%
Common 645
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 75
 
8.6%
동 70
 
8.1%
시 67
 
7.7%
구 66
 
7.6%
울 65
 
7.5%
서 65
 
7.5%
랑 65
 
7.5%
별 65
 
7.5%
특 65
 
7.5%
신 21
 
2.4%
Other values (61) 244
28.1%
Common
ValueCountFrequency (%)
295
45.7%
1 73
 
11.3%
- 50
 
7.8%
0 40
 
6.2%
5 30
 
4.7%
2 28
 
4.3%
7 27
 
4.2%
6 24
 
3.7%
4 24
 
3.7%
3 14
 
2.2%
Other values (5) 40
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 868
57.4%
ASCII 645
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
295
45.7%
1 73
 
11.3%
- 50
 
7.8%
0 40
 
6.2%
5 30
 
4.7%
2 28
 
4.3%
7 27
 
4.2%
6 24
 
3.7%
4 24
 
3.7%
3 14
 
2.2%
Other values (5) 40
 
6.2%
Hangul
ValueCountFrequency (%)
중 75
 
8.6%
동 70
 
8.1%
시 67
 
7.7%
구 66
 
7.6%
울 65
 
7.5%
서 65
 
7.5%
랑 65
 
7.5%
별 65
 
7.5%
특 65
 
7.5%
신 21
 
2.4%
Other values (61) 244
28.1%

도로명주소
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing31
Missing (%)47.7%
Memory size652.0 B
2024-05-10T23:02:10.735376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length29.764706
Min length22

Characters and Unicode

Total characters1012
Distinct characters93
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 동일로 842 (묵동)
2nd row서울특별시 중랑구 사가정로 332, 홈플러스 지상1층 (면목동)
3rd row서울특별시 중랑구 중랑역로 225 (묵동)
4th row서울특별시 중랑구 신내로14길 21 (신내동)
5th row서울특별시 중랑구 상봉로 118 (망우동)
ValueCountFrequency (%)
서울특별시 34
 
17.1%
중랑구 34
 
17.1%
면목동 6
 
3.0%
묵동 5
 
2.5%
1층 5
 
2.5%
상봉동 5
 
2.5%
신내동 5
 
2.5%
중화동 4
 
2.0%
신내로 4
 
2.0%
2층 3
 
1.5%
Other values (76) 94
47.2%
2024-05-10T23:02:11.673745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.3%
동 42
 
4.2%
중 41
 
4.1%
랑 37
 
3.7%
1 37
 
3.7%
시 36
 
3.6%
구 35
 
3.5%
서 34
 
3.4%
로 34
 
3.4%
울 34
 
3.4%
Other values (83) 517
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
60.3%
Space Separator 165
 
16.3%
Decimal Number 140
 
13.8%
Close Punctuation 34
 
3.4%
Open Punctuation 34
 
3.4%
Other Punctuation 27
 
2.7%
Dash Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
 
6.9%
중 41
 
6.7%
랑 37
 
6.1%
시 36
 
5.9%
구 35
 
5.7%
서 34
 
5.6%
로 34
 
5.6%
울 34
 
5.6%
특 34
 
5.6%
별 34
 
5.6%
Other values (67) 249
40.8%
Decimal Number
ValueCountFrequency (%)
1 37
26.4%
2 27
19.3%
3 16
11.4%
4 14
 
10.0%
8 10
 
7.1%
0 8
 
5.7%
5 8
 
5.7%
7 8
 
5.7%
9 7
 
5.0%
6 5
 
3.6%
Space Separator
ValueCountFrequency (%)
165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
60.3%
Common 401
39.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
 
6.9%
중 41
 
6.7%
랑 37
 
6.1%
시 36
 
5.9%
구 35
 
5.7%
서 34
 
5.6%
로 34
 
5.6%
울 34
 
5.6%
특 34
 
5.6%
별 34
 
5.6%
Other values (67) 249
40.8%
Common
ValueCountFrequency (%)
165
41.1%
1 37
 
9.2%
) 34
 
8.5%
( 34
 
8.5%
, 27
 
6.7%
2 27
 
6.7%
3 16
 
4.0%
4 14
 
3.5%
8 10
 
2.5%
0 8
 
2.0%
Other values (5) 29
 
7.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
60.3%
ASCII 402
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
41.0%
1 37
 
9.2%
) 34
 
8.5%
( 34
 
8.5%
, 27
 
6.7%
2 27
 
6.7%
3 16
 
4.0%
4 14
 
3.5%
8 10
 
2.5%
0 8
 
2.0%
Other values (6) 30
 
7.5%
Hangul
ValueCountFrequency (%)
동 42
 
6.9%
중 41
 
6.7%
랑 37
 
6.1%
시 36
 
5.9%
구 35
 
5.7%
서 34
 
5.6%
로 34
 
5.6%
울 34
 
5.6%
특 34
 
5.6%
별 34
 
5.6%
Other values (67) 249
40.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing31
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean2104.4706
Minimum2004
Maximum2240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-10T23:02:12.152484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile2018.75
Q12048
median2087.5
Q32158.5
95-th percentile2237.05
Maximum2240
Range236
Interquartile range (IQR)110.5

Descriptive statistics

Standard deviation71.691357
Coefficient of variation (CV)0.034066219
Kurtosis-0.81223192
Mean2104.4706
Median Absolute Deviation (MAD)54
Skewness0.57218694
Sum71552
Variance5139.6506
MonotonicityNot monotonic
2024-05-10T23:02:12.614541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2034 2
 
3.1%
2024 2
 
3.1%
2033 2
 
3.1%
2088 2
 
3.1%
2067 2
 
3.1%
2109 1
 
1.5%
2119 1
 
1.5%
2069 1
 
1.5%
2214 1
 
1.5%
2054 1
 
1.5%
Other values (19) 19
29.2%
(Missing) 31
47.7%
ValueCountFrequency (%)
2004 1
1.5%
2009 1
1.5%
2024 2
3.1%
2033 2
3.1%
2034 2
3.1%
2046 1
1.5%
2054 1
1.5%
2055 1
1.5%
2066 1
1.5%
2067 2
3.1%
ValueCountFrequency (%)
2240 1
1.5%
2239 1
1.5%
2236 1
1.5%
2224 1
1.5%
2214 1
1.5%
2182 1
1.5%
2169 1
1.5%
2167 1
1.5%
2161 1
1.5%
2151 1
1.5%

사업장명
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-10T23:02:13.153596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.2615385
Min length3

Characters and Unicode

Total characters602
Distinct characters149
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

Unique63 ?
Unique (%)96.9%

Sample

1st row진로하이퍼마트
2nd row(주)한화유통(묵일점)
3rd row(주)엘지유통신내점
4th row(주)신아주
5th row(주)남성유통사업부면목점
ValueCountFrequency (%)
신내점 3
 
3.5%
수협바다마트신내점 2
 
2.4%
홈플러스(주 2
 
2.4%
묵동점 2
 
2.4%
주)이마트에브리데이 2
 
2.4%
홈플러스 2
 
2.4%
망우점 2
 
2.4%
하나로마트 2
 
2.4%
주)이마트 2
 
2.4%
동서울농업협동조합 2
 
2.4%
Other values (64) 64
75.3%
2024-05-10T23:02:14.389828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 39
 
6.5%
트 38
 
6.3%
) 35
 
5.8%
주 35
 
5.8%
( 34
 
5.6%
점 24
 
4.0%
20
 
3.3%
스 14
 
2.3%
유 14
 
2.3%
이 13
 
2.2%
Other values (139) 336
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
82.4%
Close Punctuation 35
 
5.8%
Open Punctuation 34
 
5.6%
Space Separator 20
 
3.3%
Decimal Number 6
 
1.0%
Uppercase Letter 6
 
1.0%
Lowercase Letter 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 39
 
7.9%
트 38
 
7.7%
주 35
 
7.1%
점 24
 
4.8%
스 14
 
2.8%
유 14
 
2.8%
이 13
 
2.6%
통 13
 
2.6%
동 12
 
2.4%
신 10
 
2.0%
Other values (121) 284
57.3%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
5 1
16.7%
6 1
16.7%
3 1
16.7%
7 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
L 1
16.7%
E 1
16.7%
T 1
16.7%
S 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
20.0%
k 1
20.0%
e 1
20.0%
r 1
20.0%
a 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
82.4%
Common 95
 
15.8%
Latin 11
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 39
 
7.9%
트 38
 
7.7%
주 35
 
7.1%
점 24
 
4.8%
스 14
 
2.8%
유 14
 
2.8%
이 13
 
2.6%
통 13
 
2.6%
동 12
 
2.4%
신 10
 
2.0%
Other values (121) 284
57.3%
Latin
ValueCountFrequency (%)
M 2
18.2%
t 1
9.1%
k 1
9.1%
e 1
9.1%
r 1
9.1%
a 1
9.1%
L 1
9.1%
E 1
9.1%
T 1
9.1%
S 1
9.1%
Common
ValueCountFrequency (%)
) 35
36.8%
( 34
35.8%
20
21.1%
0 2
 
2.1%
5 1
 
1.1%
6 1
 
1.1%
3 1
 
1.1%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
82.4%
ASCII 106
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 39
 
7.9%
트 38
 
7.7%
주 35
 
7.1%
점 24
 
4.8%
스 14
 
2.8%
유 14
 
2.8%
이 13
 
2.6%
통 13
 
2.6%
동 12
 
2.4%
신 10
 
2.0%
Other values (121) 284
57.3%
ASCII
ValueCountFrequency (%)
) 35
33.0%
( 34
32.1%
20
18.9%
0 2
 
1.9%
M 2
 
1.9%
t 1
 
0.9%
k 1
 
0.9%
5 1
 
0.9%
6 1
 
0.9%
3 1
 
0.9%
Other values (8) 8
 
7.5%

최종수정일자
Date

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2000-04-08 00:00:00
Maximum2024-05-08 10:13:41
2024-05-10T23:02:14.894802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:15.340807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
I
44 
U
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 44
67.7%
U 21
32.3%

Length

2024-05-10T23:02:15.822030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:16.080571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 44
67.7%
u 21
32.3%

데이터갱신일자
Date

Distinct19
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-10T23:02:16.384197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:02:16.711026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
기타식품판매업
65 

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 65
100.0%

Length

2024-05-10T23:02:17.081559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:17.380671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 65
100.0%

좌표정보(X)
Real number (ℝ)

Distinct44
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207758.02
Minimum206492.09
Maximum209334.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-10T23:02:17.746977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206492.09
5-th percentile206740.96
Q1206905.68
median207870.87
Q3208481.61
95-th percentile208658.08
Maximum209334.24
Range2842.1547
Interquartile range (IQR)1575.934

Descriptive statistics

Standard deviation780.3229
Coefficient of variation (CV)0.003755922
Kurtosis-1.329872
Mean207758.02
Median Absolute Deviation (MAD)737.86035
Skewness-0.039013261
Sum13504271
Variance608903.83
MonotonicityNot monotonic
2024-05-10T23:02:18.145417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
208658.077732594 5
 
7.7%
207038.554721685 3
 
4.6%
206774.874230196 3
 
4.6%
208520.092335397 3
 
4.6%
206788.048632489 3
 
4.6%
208611.4835706 2
 
3.1%
207163.791145804 2
 
3.1%
206740.95977172 2
 
3.1%
206859.21503478 2
 
3.1%
208295.099818379 2
 
3.1%
Other values (34) 38
58.5%
ValueCountFrequency (%)
206492.087474895 1
 
1.5%
206636.65407 1
 
1.5%
206709.902068704 1
 
1.5%
206740.95977172 2
3.1%
206771.217305763 1
 
1.5%
206774.874230196 3
4.6%
206777.731391054 1
 
1.5%
206784.137676923 1
 
1.5%
206788.048632489 3
4.6%
206859.21503478 2
3.1%
ValueCountFrequency (%)
209334.242134459 1
 
1.5%
209263.137025523 1
 
1.5%
208781.999418607 1
 
1.5%
208658.077732594 5
7.7%
208611.4835706 2
 
3.1%
208608.730096996 1
 
1.5%
208520.092335397 3
4.6%
208508.136740226 2
 
3.1%
208481.612667873 1
 
1.5%
208432.078995699 2
 
3.1%

좌표정보(Y)
Real number (ℝ)

Distinct44
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455346.86
Minimum452865.8
Maximum457438.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-10T23:02:18.536036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452865.8
5-th percentile453094.12
Q1454787.46
median455449.58
Q3456195.88
95-th percentile457089.24
Maximum457438.91
Range4573.1143
Interquartile range (IQR)1408.4128

Descriptive statistics

Standard deviation1153.3916
Coefficient of variation (CV)0.0025329956
Kurtosis-0.4449006
Mean455346.86
Median Absolute Deviation (MAD)708.95723
Skewness-0.29934544
Sum29597546
Variance1330312.2
MonotonicityNot monotonic
2024-05-10T23:02:18.835406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
454894.790220198 5
 
7.7%
455449.584154686 3
 
4.6%
457011.632629502 3
 
4.6%
456195.877460936 3
 
4.6%
455850.935638819 3
 
4.6%
456220.541518204 2
 
3.1%
454984.412728653 2
 
3.1%
454517.575326381 2
 
3.1%
456654.831186357 2
 
3.1%
456014.999180519 2
 
3.1%
Other values (34) 38
58.5%
ValueCountFrequency (%)
452865.795443614 1
1.5%
453031.11581883 2
3.1%
453072.936040777 1
1.5%
453178.839844934 1
1.5%
453525.741161528 1
1.5%
453583.60335093 1
1.5%
453692.906178032 1
1.5%
454173.313439431 2
3.1%
454178.824228606 1
1.5%
454213.122853434 1
1.5%
ValueCountFrequency (%)
457438.909754748 1
 
1.5%
457174.958326298 1
 
1.5%
457113.638411288 1
 
1.5%
457097.848315 1
 
1.5%
457054.793655589 1
 
1.5%
457011.632629502 3
4.6%
456837.219624564 1
 
1.5%
456654.831186357 2
3.1%
456364.6175168 1
 
1.5%
456220.541518204 2
3.1%

위생업태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
기타식품판매업
51 
<NA>
14 

Length

Max length7
Median length7
Mean length6.3538462
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 51
78.5%
<NA> 14
 
21.5%

Length

2024-05-10T23:02:19.088174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:19.361570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 51
78.5%
na 14
 
21.5%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)26.1%
Missing42
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean1.6521739
Minimum0
Maximum11
Zeros16
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-10T23:02:19.543137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5240562
Coefficient of variation (CV)2.1329814
Kurtosis3.3100567
Mean1.6521739
Median Absolute Deviation (MAD)0
Skewness2.172728
Sum38
Variance12.418972
MonotonicityNot monotonic
2024-05-10T23:02:19.755643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
 
24.6%
1 2
 
3.1%
10 2
 
3.1%
3 1
 
1.5%
2 1
 
1.5%
11 1
 
1.5%
(Missing) 42
64.6%
ValueCountFrequency (%)
0 16
24.6%
1 2
 
3.1%
2 1
 
1.5%
3 1
 
1.5%
10 2
 
3.1%
11 1
 
1.5%
ValueCountFrequency (%)
11 1
 
1.5%
10 2
 
3.1%
3 1
 
1.5%
2 1
 
1.5%
1 2
 
3.1%
0 16
24.6%

여성종사자수
Categorical

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
42 
0
16 
1
 
2
10
 
2
4
 
2

Length

Max length4
Median length4
Mean length2.9846154
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row1
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 42
64.6%
0 16
 
24.6%
1 2
 
3.1%
10 2
 
3.1%
4 2
 
3.1%
33 1
 
1.5%

Length

2024-05-10T23:02:19.988569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:20.261048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
64.6%
0 16
 
24.6%
1 2
 
3.1%
10 2
 
3.1%
4 2
 
3.1%
33 1
 
1.5%

영업장주변구분명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
45 
기타
13 
아파트지역
 
4
주택가주변
 
3

Length

Max length5
Median length4
Mean length3.7076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
69.2%
기타 13
 
20.0%
아파트지역 4
 
6.2%
주택가주변 3
 
4.6%

Length

2024-05-10T23:02:20.658244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:21.023907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
69.2%
기타 13
 
20.0%
아파트지역 4
 
6.2%
주택가주변 3
 
4.6%

등급구분명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
45 
기타
11 
자율
8 
관리
 
1

Length

Max length4
Median length4
Mean length3.3846154
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
69.2%
기타 11
 
16.9%
자율 8
 
12.3%
관리 1
 
1.5%

Length

2024-05-10T23:02:21.401813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:21.751657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
69.2%
기타 11
 
16.9%
자율 8
 
12.3%
관리 1
 
1.5%

급수시설구분명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
37 
상수도전용
27 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.6153846
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
56.9%
상수도전용 27
41.5%
상수도(음용)지하수(주방용)겸용 1
 
1.5%

Length

2024-05-10T23:02:22.354372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:22.643980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
56.9%
상수도전용 27
41.5%
상수도(음용)지하수(주방용)겸용 1
 
1.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
60 
0
 
5

Length

Max length4
Median length4
Mean length3.7692308
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> 60
92.3%
0 5
 
7.7%

Length

2024-05-10T23:02:22.856359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:23.044159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
92.3%
0 5
 
7.7%

본사종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
37 
0
28 

Length

Max length4
Median length4
Mean length2.7076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
56.9%
0 28
43.1%

Length

2024-05-10T23:02:23.306771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:23.594150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
56.9%
0 28
43.1%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
37 
0
28 

Length

Max length4
Median length4
Mean length2.7076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
56.9%
0 28
43.1%

Length

2024-05-10T23:02:23.947211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:24.278644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
56.9%
0 28
43.1%

공장판매직종업원수
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
37 
0
27 
2
 
1

Length

Max length4
Median length4
Mean length2.7076923
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
56.9%
0 27
41.5%
2 1
 
1.5%

Length

2024-05-10T23:02:24.637416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:24.979432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
56.9%
0 27
41.5%
2 1
 
1.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
37 
0
28 

Length

Max length4
Median length4
Mean length2.7076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
56.9%
0 28
43.1%

Length

2024-05-10T23:02:25.347979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:25.630150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
56.9%
0 28
43.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
43 
임대
14 
자가
8 

Length

Max length4
Median length4
Mean length3.3230769
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> 43
66.2%
임대 14
 
21.5%
자가 8
 
12.3%

Length

2024-05-10T23:02:26.048459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:26.343343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
66.2%
임대 14
 
21.5%
자가 8
 
12.3%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
58 
0
7 

Length

Max length4
Median length4
Mean length3.6769231
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> 58
89.2%
0 7
 
10.8%

Length

2024-05-10T23:02:26.616587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:26.943653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
89.2%
0 7
 
10.8%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
58 
0
7 

Length

Max length4
Median length4
Mean length3.6769231
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> 58
89.2%
0 7
 
10.8%

Length

2024-05-10T23:02:27.310828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:27.636518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
89.2%
0 7
 
10.8%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.0%
Missing14
Missing (%)21.5%
Memory size262.0 B
False
51 
(Missing)
14 
ValueCountFrequency (%)
False 51
78.5%
(Missing) 14
 
21.5%
2024-05-10T23:02:27.931334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
0
51 
<NA>
14 

Length

Max length4
Median length1
Mean length1.6461538
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 51
78.5%
<NA> 14
 
21.5%

Length

2024-05-10T23:02:28.145427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:02:28.473454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
78.5%
na 14
 
21.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030600003060000-114-1996-0029919960109<NA>3폐업2폐업19980616<NA><NA><NA>02 4335000.00131809서울특별시 중랑구 망우동 572-0<NA><NA>진로하이퍼마트2001-10-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업208658.077733454894.79022기타식품판매업11기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
130600003060000-114-1996-0030019960528<NA>3폐업2폐업19971119<NA><NA><NA>02 9720600.00131848서울특별시 중랑구 묵동 165-0<NA><NA>(주)한화유통(묵일점)2001-10-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업206774.87423457011.63263기타식품판매업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
230600003060000-114-1996-0030119960618<NA>3폐업2폐업20000516<NA><NA><NA>02320.50131846서울특별시 중랑구 묵동 20-0 두산대림아파트 상가동 지1호<NA><NA>(주)엘지유통신내점2001-10-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업207718.222107457174.958326기타식품판매업00아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
330600003060000-114-1996-0030219960627<NA>3폐업2폐업19990430<NA><NA><NA>02 4955501.00131858서울특별시 중랑구 상봉동 83-1<NA><NA>(주)신아주2001-10-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업208057.437371454845.243765기타식품판매업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
430600003060000-114-1996-0042219960627<NA>3폐업2폐업20060628<NA><NA><NA>02 4341365459.54131828서울특별시 중랑구 면목동 650-0<NA><NA>(주)남성유통사업부면목점2006-02-21 00:00:00I2018-08-31 23:59:59.0기타식품판매업207553.170405453031.115819기타식품판매업00기타관리상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
530600003060000-114-1996-0042319960627<NA>3폐업2폐업20050531<NA><NA><NA>02 4967332402.32131816서울특별시 중랑구 면목동 101-1<NA><NA>(주)남성유통사업부동원점2005-05-31 00:00:00I2018-08-31 23:59:59.0기타식품판매업207869.605609454173.313439기타식품판매업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
630600003060000-114-1996-0050119960816<NA>3폐업2폐업20021226<NA><NA><NA>0234211495713.78131867서울특별시 중랑구 신내동 786-0 동성프라자 지하<NA><NA>벨마트2000-08-31 00:00:00I2018-08-31 23:59:59.0기타식품판매업208520.092335456195.877461기타식품판매업00아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
730600003060000-114-1997-0030319970118<NA>3폐업2폐업20041119<NA><NA><NA>02 4912250553.35131870서울특별시 중랑구 신내동 785-0<NA><NA>태방마트2004-04-10 00:00:00I2018-08-31 23:59:59.0기타식품판매업208383.030761455488.083272기타식품판매업00기타기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
830600003060000-114-1997-0030419970217<NA>3폐업2폐업19980401<NA><NA><NA>02 2075000.00131816서울특별시 중랑구 면목동 100-31<NA><NA>(주)진로종합유통진로하이퍼마트2001-10-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업207922.002485454178.824229기타식품판매업1010기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
930600003060000-114-1997-0042419970114<NA>3폐업2폐업20000114<NA><NA><NA>02712.57131881서울특별시 중랑구 중화동 307-1<NA><NA>(주)해태유통2001-10-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업206788.048632455850.935639기타식품판매업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
5530600003060000-114-2014-000012014-03-07<NA>1영업/정상1영업<NA><NA><NA><NA>433 8022330.00131-802서울특별시 중랑구 망우동 147-9서울특별시 중랑구 용마산로118길 94 (망우동)2066동서울농업협동조합 하나로마트 망우점2023-05-08 15:39:30U2022-12-04 23:00:00.0기타식품판매업209263.137026455422.069997<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5630600003060000-114-2014-0000220140324<NA>1영업/정상1영업<NA><NA><NA><NA>02 496 0900930.00131868서울특별시 중랑구 신내동 405-1서울특별시 중랑구 봉화산로 231 (신내동)2054(주)가락공판장 신내점2014-03-24 11:39:12I2018-08-31 23:59:59.0기타식품판매업208611.483571456220.541518기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
5730600003060000-114-2014-0000320140922<NA>1영업/정상1영업<NA><NA><NA><NA>02 9732100495.07131848서울특별시 중랑구 묵동 174-4 지1층서울특별시 중랑구 공릉로2길 7 (묵동, 지1층)2034365두리마트2021-04-27 11:33:14U2021-04-29 02:40:00.0기타식품판매업206859.215035456654.831186기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
5830600003060000-114-2014-0000420141022<NA>1영업/정상1영업<NA><NA><NA><NA>02 492 5958924.00131813서울특별시 중랑구 면목동 472-8서울특별시 중랑구 면목로44길 28, 1층 (면목동, 아람플러스리빙)2214(주)텃밭할인마트사가정역2022-02-15 09:53:52U2022-02-17 02:40:00.0기타식품판매업207870.869743453178.839845기타식품판매업00<NA><NA><NA>00000<NA>00N0<NA><NA><NA>
5930600003060000-114-2015-0000120150421<NA>3폐업2폐업20220208<NA><NA><NA>02 69590106581.82131865서울특별시 중랑구 신내동 255-1서울특별시 중랑구 신내역로3길 8 (신내동)2055(주)이마트에브리데이 신내점2022-02-08 15:02:04U2022-02-10 02:40:00.0기타식품판매업209334.242134457438.909755기타식품판매업00<NA><NA><NA>00000임대00N0<NA><NA><NA>
6030600003060000-114-2016-0000120161123<NA>1영업/정상1영업<NA><NA><NA><NA><NA>865.00131861서울특별시 중랑구 상봉동 136-50 지하01호, 지하02호, 지하03호, 지하04호서울특별시 중랑구 망우로30길 8, 지하1층 지하01,지하02,지하03,지하04호 (상봉동)2119(주)진선우유통2016-11-23 18:05:31I2018-08-31 23:59:59.0기타식품판매업206492.087475454508.605124기타식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
6130600003060000-114-2017-0000120171019<NA>1영업/정상1영업<NA><NA><NA><NA>02 4358944572.00131876서울특별시 중랑구 중화동 287-11서울특별시 중랑구 봉화산로 56, 지상1층 (중화동)2088(주)중랑식자재마트2019-07-31 16:02:55U2019-08-02 02:40:00.0기타식품판매업207038.554722455449.584155기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
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