Overview

Dataset statistics

Number of variables44
Number of observations85
Missing cells739
Missing cells (%)19.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory376.6 B

Variable types

Categorical22
Text6
DateTime4
Unsupported6
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-18307/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (57.7%)Imbalance
총인원 is highly imbalanced (78.0%)Imbalance
보증액 is highly imbalanced (63.2%)Imbalance
월세액 is highly imbalanced (63.2%)Imbalance
홈페이지 is highly imbalanced (90.8%)Imbalance
인허가취소일자 has 85 (100.0%) missing valuesMissing
폐업일자 has 24 (28.2%) missing valuesMissing
휴업시작일자 has 85 (100.0%) missing valuesMissing
휴업종료일자 has 85 (100.0%) missing valuesMissing
재개업일자 has 85 (100.0%) missing valuesMissing
전화번호 has 16 (18.8%) missing valuesMissing
도로명주소 has 39 (45.9%) missing valuesMissing
도로명우편번호 has 41 (48.2%) missing valuesMissing
좌표정보(X) has 4 (4.7%) missing valuesMissing
좌표정보(Y) has 4 (4.7%) missing valuesMissing
여성종사자수 has 69 (81.2%) missing valuesMissing
다중이용업소여부 has 16 (18.8%) missing valuesMissing
시설총규모 has 16 (18.8%) missing valuesMissing
전통업소지정번호 has 85 (100.0%) missing valuesMissing
전통업소주된음식 has 85 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
여성종사자수 has 9 (10.6%) zerosZeros
시설총규모 has 55 (64.7%) zerosZeros

Reproduction

Analysis started2024-05-11 03:57:26.911644
Analysis finished2024-05-11 03:57:28.741428
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
3050000
85 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 85
100.0%

Length

2024-05-11T03:57:29.116143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:29.811878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 85
100.0%

관리번호
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-11T03:57:30.367158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1870
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

Unique85 ?
Unique (%)100.0%

Sample

1st row3050000-114-1985-00607
2nd row3050000-114-1990-00604
3rd row3050000-114-1994-00605
4th row3050000-114-1994-00614
5th row3050000-114-1996-00602
ValueCountFrequency (%)
3050000-114-1985-00607 1
 
1.2%
3050000-114-2007-00004 1
 
1.2%
3050000-114-2011-00002 1
 
1.2%
3050000-114-2011-00001 1
 
1.2%
3050000-114-2010-00005 1
 
1.2%
3050000-114-2010-00004 1
 
1.2%
3050000-114-2010-00003 1
 
1.2%
3050000-114-2010-00002 1
 
1.2%
3050000-114-2010-00001 1
 
1.2%
3050000-114-2009-00006 1
 
1.2%
Other values (75) 75
88.2%
2024-05-11T03:57:31.221132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 837
44.8%
- 255
 
13.6%
1 252
 
13.5%
3 106
 
5.7%
5 104
 
5.6%
4 101
 
5.4%
2 85
 
4.5%
9 57
 
3.0%
6 39
 
2.1%
7 20
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1615
86.4%
Dash Punctuation 255
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 837
51.8%
1 252
 
15.6%
3 106
 
6.6%
5 104
 
6.4%
4 101
 
6.3%
2 85
 
5.3%
9 57
 
3.5%
6 39
 
2.4%
7 20
 
1.2%
8 14
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 837
44.8%
- 255
 
13.6%
1 252
 
13.5%
3 106
 
5.7%
5 104
 
5.6%
4 101
 
5.4%
2 85
 
4.5%
9 57
 
3.0%
6 39
 
2.1%
7 20
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 837
44.8%
- 255
 
13.6%
1 252
 
13.5%
3 106
 
5.7%
5 104
 
5.6%
4 101
 
5.4%
2 85
 
4.5%
9 57
 
3.0%
6 39
 
2.1%
7 20
 
1.1%

인허가일자
Date

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum1985-11-11 00:00:00
Maximum2023-02-09 00:00:00
2024-05-11T03:57:31.642874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:57:32.316402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
3
61 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 61
71.8%
1 24
 
28.2%

Length

2024-05-11T03:57:32.844902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:33.147039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 61
71.8%
1 24
 
28.2%

영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
폐업
61 
영업/정상
24 

Length

Max length5
Median length2
Mean length2.8470588
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 61
71.8%
영업/정상 24
 
28.2%

Length

2024-05-11T03:57:33.486883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:33.816792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
71.8%
영업/정상 24
 
28.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
2
61 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 61
71.8%
1 24
 
28.2%

Length

2024-05-11T03:57:34.185327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:34.481806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 61
71.8%
1 24
 
28.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
폐업
61 
영업
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 61
71.8%
영업 24
 
28.2%

Length

2024-05-11T03:57:34.892199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:35.344440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
71.8%
영업 24
 
28.2%

폐업일자
Date

MISSING 

Distinct57
Distinct (%)93.4%
Missing24
Missing (%)28.2%
Memory size812.0 B
Minimum1995-09-04 00:00:00
Maximum2023-02-02 00:00:00
2024-05-11T03:57:35.702112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:57:36.077752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

전화번호
Text

MISSING 

Distinct64
Distinct (%)92.8%
Missing16
Missing (%)18.8%
Memory size812.0 B
2024-05-11T03:57:36.604626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.231884
Min length6

Characters and Unicode

Total characters706
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

Unique59 ?
Unique (%)85.5%

Sample

1st row0209621253
2nd row02 9637744
3rd row02 9581002
4th row02 2923367
5th row0222153707
ValueCountFrequency (%)
02 28
27.2%
0222455661 2
 
1.9%
9626746 2
 
1.9%
9594567 2
 
1.9%
962 2
 
1.9%
0222151526 2
 
1.9%
9695930 2
 
1.9%
0222147993 1
 
1.0%
969 1
 
1.0%
3330 1
 
1.0%
Other values (60) 60
58.3%
2024-05-11T03:57:37.721108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 173
24.5%
0 118
16.7%
6 53
 
7.5%
9 52
 
7.4%
4 50
 
7.1%
5 50
 
7.1%
3 50
 
7.1%
1 49
 
6.9%
46
 
6.5%
7 44
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
93.5%
Space Separator 46
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 173
26.2%
0 118
17.9%
6 53
 
8.0%
9 52
 
7.9%
4 50
 
7.6%
5 50
 
7.6%
3 50
 
7.6%
1 49
 
7.4%
7 44
 
6.7%
8 21
 
3.2%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 706
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 173
24.5%
0 118
16.7%
6 53
 
7.5%
9 52
 
7.4%
4 50
 
7.1%
5 50
 
7.1%
3 50
 
7.1%
1 49
 
6.9%
46
 
6.5%
7 44
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 173
24.5%
0 118
16.7%
6 53
 
7.5%
9 52
 
7.4%
4 50
 
7.1%
5 50
 
7.1%
3 50
 
7.1%
1 49
 
6.9%
46
 
6.5%
7 44
 
6.2%

소재지면적
Text

Distinct68
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-11T03:57:38.328764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.0941176
Min length3

Characters and Unicode

Total characters518
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

Unique60 ?
Unique (%)70.6%

Sample

1st row.00
2nd row1,525.92
3rd row4,472.71
4th row.00
5th row325.88
ValueCountFrequency (%)
00 7
 
8.2%
340.00 3
 
3.5%
437.40 3
 
3.5%
466.65 3
 
3.5%
1,056.00 3
 
3.5%
590.00 2
 
2.4%
350.00 2
 
2.4%
1,190.00 2
 
2.4%
1537.80 1
 
1.2%
912.38 1
 
1.2%
Other values (58) 58
68.2%
2024-05-11T03:57:39.327988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
21.6%
. 85
16.4%
3 49
9.5%
5 41
 
7.9%
4 39
 
7.5%
1 37
 
7.1%
6 34
 
6.6%
2 30
 
5.8%
8 29
 
5.6%
9 28
 
5.4%
Other values (2) 34
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 422
81.5%
Other Punctuation 96
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
26.5%
3 49
11.6%
5 41
 
9.7%
4 39
 
9.2%
1 37
 
8.8%
6 34
 
8.1%
2 30
 
7.1%
8 29
 
6.9%
9 28
 
6.6%
7 23
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 85
88.5%
, 11
 
11.5%

Most occurring scripts

ValueCountFrequency (%)
Common 518
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
21.6%
. 85
16.4%
3 49
9.5%
5 41
 
7.9%
4 39
 
7.5%
1 37
 
7.1%
6 34
 
6.6%
2 30
 
5.8%
8 29
 
5.6%
9 28
 
5.4%
Other values (2) 34
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
21.6%
. 85
16.4%
3 49
9.5%
5 41
 
7.9%
4 39
 
7.5%
1 37
 
7.1%
6 34
 
6.6%
2 30
 
5.8%
8 29
 
5.6%
9 28
 
5.4%
Other values (2) 34
 
6.6%

소재지우편번호
Categorical

Distinct36
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
130864
7 
130842
7 
130840
7 
130030
6 
130839
 
5
Other values (31)
53 

Length

Max length7
Median length6
Mean length6.1294118
Min length6

Unique

Unique18 ?
Unique (%)21.2%

Sample

1st row130864
2nd row130864
3rd row130851
4th row130814
5th row130850

Common Values

ValueCountFrequency (%)
130864 7
 
8.2%
130842 7
 
8.2%
130840 7
 
8.2%
130030 6
 
7.1%
130839 5
 
5.9%
130837 4
 
4.7%
130846 4
 
4.7%
130875 4
 
4.7%
130835 3
 
3.5%
130827 3
 
3.5%
Other values (26) 35
41.2%

Length

2024-05-11T03:57:39.938624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
130864 7
 
8.2%
130840 7
 
8.2%
130842 7
 
8.2%
130030 6
 
7.1%
130839 5
 
5.9%
130837 4
 
4.7%
130846 4
 
4.7%
130875 4
 
4.7%
130835 3
 
3.5%
130827 3
 
3.5%
Other values (26) 35
41.2%

지번주소
Text

Distinct80
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-11T03:57:40.645692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length26.776471
Min length17

Characters and Unicode

Total characters2276
Distinct characters115
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

Unique75 ?
Unique (%)88.2%

Sample

1st row서울특별시 동대문구 제기동 1126-0
2nd row서울특별시 동대문구 제기동 892-71
3rd row서울특별시 동대문구 전농동 591-53
4th row서울특별시 동대문구 신설동 114-90
5th row서울특별시 동대문구 전농동 33-38
ValueCountFrequency (%)
서울특별시 85
20.3%
동대문구 85
20.3%
장안동 36
 
8.6%
제기동 11
 
2.6%
1층 11
 
2.6%
답십리동 11
 
2.6%
지하1층 9
 
2.2%
전농동 8
 
1.9%
이문동 7
 
1.7%
휘경동 7
 
1.7%
Other values (105) 148
35.4%
2024-05-11T03:57:42.072303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
411
18.1%
동 174
 
7.6%
1 126
 
5.5%
문 97
 
4.3%
시 89
 
3.9%
대 87
 
3.8%
서 86
 
3.8%
울 85
 
3.7%
구 85
 
3.7%
별 85
 
3.7%
Other values (105) 951
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
57.3%
Decimal Number 433
 
19.0%
Space Separator 411
 
18.1%
Dash Punctuation 72
 
3.2%
Open Punctuation 24
 
1.1%
Close Punctuation 24
 
1.1%
Uppercase Letter 5
 
0.2%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 174
13.3%
문 97
 
7.4%
시 89
 
6.8%
대 87
 
6.7%
서 86
 
6.6%
울 85
 
6.5%
구 85
 
6.5%
별 85
 
6.5%
특 85
 
6.5%
장 41
 
3.1%
Other values (84) 390
29.9%
Decimal Number
ValueCountFrequency (%)
1 126
29.1%
3 55
12.7%
2 54
12.5%
0 37
 
8.5%
8 37
 
8.5%
5 34
 
7.9%
4 26
 
6.0%
6 24
 
5.5%
9 23
 
5.3%
7 17
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 23
95.8%
[ 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 23
95.8%
] 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
D 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
57.3%
Common 967
42.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 174
13.3%
문 97
 
7.4%
시 89
 
6.8%
대 87
 
6.7%
서 86
 
6.6%
울 85
 
6.5%
구 85
 
6.5%
별 85
 
6.5%
특 85
 
6.5%
장 41
 
3.1%
Other values (84) 390
29.9%
Common
ValueCountFrequency (%)
411
42.5%
1 126
 
13.0%
- 72
 
7.4%
3 55
 
5.7%
2 54
 
5.6%
0 37
 
3.8%
8 37
 
3.8%
5 34
 
3.5%
4 26
 
2.7%
6 24
 
2.5%
Other values (9) 91
 
9.4%
Latin
ValueCountFrequency (%)
B 4
80.0%
D 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
57.3%
ASCII 972
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
411
42.3%
1 126
 
13.0%
- 72
 
7.4%
3 55
 
5.7%
2 54
 
5.6%
0 37
 
3.8%
8 37
 
3.8%
5 34
 
3.5%
4 26
 
2.7%
6 24
 
2.5%
Other values (11) 96
 
9.9%
Hangul
ValueCountFrequency (%)
동 174
13.3%
문 97
 
7.4%
시 89
 
6.8%
대 87
 
6.7%
서 86
 
6.6%
울 85
 
6.5%
구 85
 
6.5%
별 85
 
6.5%
특 85
 
6.5%
장 41
 
3.1%
Other values (84) 390
29.9%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)91.3%
Missing39
Missing (%)45.9%
Memory size812.0 B
2024-05-11T03:57:42.838836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length33.347826
Min length23

Characters and Unicode

Total characters1534
Distinct characters109
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

Unique40 ?
Unique (%)87.0%

Sample

1st row서울특별시 동대문구 왕산로 214, 지하2층 (전농동)
2nd row서울특별시 동대문구 고미술로 49, 지하1층 (답십리동)
3rd row서울특별시 동대문구 휘경로 53 (휘경동,(휘경로51))
4th row서울특별시 동대문구 답십리로66길 76 (장안동,(장안벌길62-1))
5th row서울특별시 동대문구 사가정로 148, 101호 (전농동, SK아파트상가)
ValueCountFrequency (%)
서울특별시 46
 
15.9%
동대문구 46
 
15.9%
1층 16
 
5.5%
장안동 14
 
4.8%
지하1층 9
 
3.1%
답십리동 7
 
2.4%
답십리로66길 5
 
1.7%
왕산로 5
 
1.7%
한천로 5
 
1.7%
전농동 5
 
1.7%
Other values (94) 131
45.3%
2024-05-11T03:57:44.210278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
16.0%
동 97
 
6.3%
1 71
 
4.6%
문 55
 
3.6%
) 53
 
3.5%
( 53
 
3.5%
, 53
 
3.5%
시 51
 
3.3%
로 50
 
3.3%
대 49
 
3.2%
Other values (99) 757
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
59.3%
Space Separator 245
 
16.0%
Decimal Number 212
 
13.8%
Close Punctuation 54
 
3.5%
Open Punctuation 54
 
3.5%
Other Punctuation 53
 
3.5%
Uppercase Letter 4
 
0.3%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 97
 
10.7%
문 55
 
6.1%
시 51
 
5.6%
로 50
 
5.5%
대 49
 
5.4%
서 47
 
5.2%
울 47
 
5.2%
특 46
 
5.1%
별 46
 
5.1%
구 46
 
5.1%
Other values (78) 375
41.3%
Decimal Number
ValueCountFrequency (%)
1 71
33.5%
4 23
 
10.8%
3 22
 
10.4%
2 22
 
10.4%
6 20
 
9.4%
0 17
 
8.0%
9 10
 
4.7%
5 9
 
4.2%
7 9
 
4.2%
8 9
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
S 1
25.0%
K 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 53
98.1%
] 1
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 53
98.1%
[ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
245
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
59.3%
Common 621
40.5%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 97
 
10.7%
문 55
 
6.1%
시 51
 
5.6%
로 50
 
5.5%
대 49
 
5.4%
서 47
 
5.2%
울 47
 
5.2%
특 46
 
5.1%
별 46
 
5.1%
구 46
 
5.1%
Other values (78) 375
41.3%
Common
ValueCountFrequency (%)
245
39.5%
1 71
 
11.4%
) 53
 
8.5%
( 53
 
8.5%
, 53
 
8.5%
4 23
 
3.7%
3 22
 
3.5%
2 22
 
3.5%
6 20
 
3.2%
0 17
 
2.7%
Other values (8) 42
 
6.8%
Latin
ValueCountFrequency (%)
B 2
50.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
59.3%
ASCII 625
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
39.2%
1 71
 
11.4%
) 53
 
8.5%
( 53
 
8.5%
, 53
 
8.5%
4 23
 
3.7%
3 22
 
3.5%
2 22
 
3.5%
6 20
 
3.2%
0 17
 
2.7%
Other values (11) 46
 
7.4%
Hangul
ValueCountFrequency (%)
동 97
 
10.7%
문 55
 
6.1%
시 51
 
5.6%
로 50
 
5.5%
대 49
 
5.4%
서 47
 
5.2%
울 47
 
5.2%
특 46
 
5.1%
별 46
 
5.1%
구 46
 
5.1%
Other values (78) 375
41.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)75.0%
Missing41
Missing (%)48.2%
Infinite0
Infinite (%)0.0%
Mean2553.0682
Minimum2406
Maximum2644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-11T03:57:44.779441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2406
5-th percentile2419.5
Q12522
median2566.5
Q32622
95-th percentile2637
Maximum2644
Range238
Interquartile range (IQR)100

Descriptive statistics

Standard deviation70.366283
Coefficient of variation (CV)0.027561459
Kurtosis-0.57902283
Mean2553.0682
Median Absolute Deviation (MAD)52.5
Skewness-0.61837897
Sum112335
Variance4951.4138
MonotonicityNot monotonic
2024-05-11T03:57:45.482492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2625 4
 
4.7%
2637 2
 
2.4%
2501 2
 
2.4%
2467 2
 
2.4%
2568 2
 
2.4%
2555 2
 
2.4%
2428 2
 
2.4%
2525 2
 
2.4%
2644 2
 
2.4%
2516 1
 
1.2%
Other values (23) 23
27.1%
(Missing) 41
48.2%
ValueCountFrequency (%)
2406 1
1.2%
2414 1
1.2%
2418 1
1.2%
2428 2
2.4%
2445 1
1.2%
2467 2
2.4%
2501 2
2.4%
2516 1
1.2%
2524 1
1.2%
2525 2
2.4%
ValueCountFrequency (%)
2644 2
2.4%
2637 2
2.4%
2631 1
 
1.2%
2629 1
 
1.2%
2627 1
 
1.2%
2625 4
4.7%
2621 1
 
1.2%
2615 1
 
1.2%
2604 1
 
1.2%
2598 1
 
1.2%

사업장명
Text

Distinct82
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
2024-05-11T03:57:46.105436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.2235294
Min length3

Characters and Unicode

Total characters699
Distinct characters140
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)94.1%

Sample

1st row세민물산
2nd row(주)미도파마트
3rd row롯데청량리점
4th row동흥제과
5th row동서울농협전농하나로마트
ValueCountFrequency (%)
진로마트 3
 
2.9%
주식회사 3
 
2.9%
마트 2
 
1.9%
이문점 2
 
1.9%
장안점 2
 
1.9%
싱싱식자재할인마트 2
 
1.9%
조은할인마트 1
 
1.0%
하모니마트 1
 
1.0%
뉴그린마트 1
 
1.0%
제이알마트 1
 
1.0%
Other values (86) 86
82.7%
2024-05-11T03:57:47.631548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 58
 
8.3%
트 58
 
8.3%
( 31
 
4.4%
) 31
 
4.4%
주 30
 
4.3%
점 27
 
3.9%
19
 
2.7%
장 19
 
2.7%
이 18
 
2.6%
안 15
 
2.1%
Other values (130) 393
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 616
88.1%
Open Punctuation 31
 
4.4%
Close Punctuation 31
 
4.4%
Space Separator 19
 
2.7%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 58
 
9.4%
트 58
 
9.4%
주 30
 
4.9%
점 27
 
4.4%
장 19
 
3.1%
이 18
 
2.9%
안 15
 
2.4%
유 12
 
1.9%
할 12
 
1.9%
인 12
 
1.9%
Other values (125) 355
57.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 616
88.1%
Common 83
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 58
 
9.4%
트 58
 
9.4%
주 30
 
4.9%
점 27
 
4.4%
장 19
 
3.1%
이 18
 
2.9%
안 15
 
2.4%
유 12
 
1.9%
할 12
 
1.9%
인 12
 
1.9%
Other values (125) 355
57.6%
Common
ValueCountFrequency (%)
( 31
37.3%
) 31
37.3%
19
22.9%
1 1
 
1.2%
2 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 616
88.1%
ASCII 83
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 58
 
9.4%
트 58
 
9.4%
주 30
 
4.9%
점 27
 
4.4%
장 19
 
3.1%
이 18
 
2.9%
안 15
 
2.4%
유 12
 
1.9%
할 12
 
1.9%
인 12
 
1.9%
Other values (125) 355
57.6%
ASCII
ValueCountFrequency (%)
( 31
37.3%
) 31
37.3%
19
22.9%
1 1
 
1.2%
2 1
 
1.2%

최종수정일자
Date

Distinct80
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum1999-05-13 00:00:00
Maximum2024-05-07 14:50:06
2024-05-11T03:57:48.195493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:57:48.776719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
I
60 
U
25 

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 60
70.6%
U 25
29.4%

Length

2024-05-11T03:57:49.328865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:49.676715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 60
70.6%
u 25
29.4%

데이터갱신일자
Date

Distinct27
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T03:57:50.012910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:57:50.473522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
기타식품판매업
85 

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 85
100.0%

Length

2024-05-11T03:57:50.897062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:51.270405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 85
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)58.0%
Missing4
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean205176.25
Minimum202107.23
Maximum206506.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-11T03:57:51.648583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202107.23
5-th percentile203075.1
Q1204638.49
median205443.28
Q3205921.35
95-th percentile206450.43
Maximum206506.01
Range4398.7803
Interquartile range (IQR)1282.8644

Descriptive statistics

Standard deviation1113.955
Coefficient of variation (CV)0.0054292589
Kurtosis-0.20670525
Mean205176.25
Median Absolute Deviation (MAD)544.07045
Skewness-0.91629949
Sum16619276
Variance1240895.7
MonotonicityNot monotonic
2024-05-11T03:57:52.127330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
203075.098504907 4
 
4.7%
205761.988407757 4
 
4.7%
205810.922953473 4
 
4.7%
205208.167449959 4
 
4.7%
205865.688377736 4
 
4.7%
206111.263779387 3
 
3.5%
206450.432488236 3
 
3.5%
205443.275160667 3
 
3.5%
206101.9138443 2
 
2.4%
205731.76656306 2
 
2.4%
Other values (37) 48
56.5%
(Missing) 4
 
4.7%
ValueCountFrequency (%)
202107.231466913 1
 
1.2%
202721.201920439 1
 
1.2%
203075.098504907 4
4.7%
203155.504921512 2
2.4%
203356.957362754 1
 
1.2%
203388.646669062 2
2.4%
203403.019535366 1
 
1.2%
203793.67250079 1
 
1.2%
203851.375424856 1
 
1.2%
203876.834499782 1
 
1.2%
ValueCountFrequency (%)
206506.011771819 1
 
1.2%
206488.078041774 1
 
1.2%
206484.233644024 2
2.4%
206450.432488236 3
3.5%
206443.517718475 1
 
1.2%
206401.188819875 1
 
1.2%
206341.538776724 2
2.4%
206325.349431713 1
 
1.2%
206176.178625746 1
 
1.2%
206111.263779387 3
3.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)58.0%
Missing4
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean452841.85
Minimum451110.25
Maximum455790.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-11T03:57:52.537806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451110.25
5-th percentile451556.1
Q1452155.69
median452530.02
Q3453187.4
95-th percentile455131.68
Maximum455790.63
Range4680.3858
Interquartile range (IQR)1031.704

Descriptive statistics

Standard deviation1126.6445
Coefficient of variation (CV)0.0024879425
Kurtosis0.54319493
Mean452841.85
Median Absolute Deviation (MAD)568.60237
Skewness0.98811616
Sum36680190
Variance1269327.8
MonotonicityNot monotonic
2024-05-11T03:57:53.029070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
452918.836458244 4
 
4.7%
454700.999035247 4
 
4.7%
451847.699904699 4
 
4.7%
452466.868525878 4
 
4.7%
451110.245309908 4
 
4.7%
453098.621181381 3
 
3.5%
452492.041007964 3
 
3.5%
455790.631069022 3
 
3.5%
452155.691148899 2
 
2.4%
454279.617219778 2
 
2.4%
Other values (37) 48
56.5%
(Missing) 4
 
4.7%
ValueCountFrequency (%)
451110.245309908 4
4.7%
451556.098976666 1
 
1.2%
451556.210578255 1
 
1.2%
451572.108734531 1
 
1.2%
451633.697664393 1
 
1.2%
451699.765836365 1
 
1.2%
451707.933127933 1
 
1.2%
451836.896414869 1
 
1.2%
451847.699904699 4
4.7%
451906.308319234 2
2.4%
ValueCountFrequency (%)
455790.631069022 3
3.5%
455220.257356121 1
 
1.2%
455131.683241064 2
2.4%
454700.999035247 4
4.7%
454279.617219778 2
2.4%
454231.99725112 1
 
1.2%
454069.152283609 2
2.4%
453381.77294699 1
 
1.2%
453359.002774749 1
 
1.2%
453248.09724644 1
 
1.2%

위생업태명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
기타식품판매업
69 
<NA>
16 

Length

Max length7
Median length7
Mean length6.4352941
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 69
81.2%
<NA> 16
 
18.8%

Length

2024-05-11T03:57:53.474357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:53.855861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 69
81.2%
na 16
 
18.8%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
69 
0
7 
4
 
3
1
 
2
7
 
2

Length

Max length4
Median length4
Mean length3.4352941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
81.2%
0 7
 
8.2%
4 3
 
3.5%
1 2
 
2.4%
7 2
 
2.4%
5 2
 
2.4%

Length

2024-05-11T03:57:54.228183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:54.594247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
81.2%
0 7
 
8.2%
4 3
 
3.5%
1 2
 
2.4%
7 2
 
2.4%
5 2
 
2.4%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)43.8%
Missing69
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean2.5625
Minimum0
Maximum15
Zeros9
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-11T03:57:54.927091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.25
95-th percentile9.75
Maximum15
Range15
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation4.2890364
Coefficient of variation (CV)1.6737703
Kurtosis3.8374603
Mean2.5625
Median Absolute Deviation (MAD)0
Skewness1.9607677
Sum41
Variance18.395833
MonotonicityNot monotonic
2024-05-11T03:57:55.239223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 9
 
10.6%
1 2
 
2.4%
4 1
 
1.2%
8 1
 
1.2%
7 1
 
1.2%
5 1
 
1.2%
15 1
 
1.2%
(Missing) 69
81.2%
ValueCountFrequency (%)
0 9
10.6%
1 2
 
2.4%
4 1
 
1.2%
5 1
 
1.2%
7 1
 
1.2%
8 1
 
1.2%
15 1
 
1.2%
ValueCountFrequency (%)
15 1
 
1.2%
8 1
 
1.2%
7 1
 
1.2%
5 1
 
1.2%
4 1
 
1.2%
1 2
 
2.4%
0 9
10.6%

영업장주변구분명
Categorical

Distinct5
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
65 
기타
10 
주택가주변
 
6
유흥업소밀집지역
 
2
아파트지역
 
2

Length

Max length8
Median length4
Mean length3.9529412
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
76.5%
기타 10
 
11.8%
주택가주변 6
 
7.1%
유흥업소밀집지역 2
 
2.4%
아파트지역 2
 
2.4%

Length

2024-05-11T03:57:55.758458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:56.191318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
76.5%
기타 10
 
11.8%
주택가주변 6
 
7.1%
유흥업소밀집지역 2
 
2.4%
아파트지역 2
 
2.4%

등급구분명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
65 
기타
16 
관리
 
4

Length

Max length4
Median length4
Mean length3.5294118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
76.5%
기타 16
 
18.8%
관리 4
 
4.7%

Length

2024-05-11T03:57:56.941957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:57.326007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
76.5%
기타 16
 
18.8%
관리 4
 
4.7%

급수시설구분명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
60 
상수도전용
25 

Length

Max length5
Median length4
Mean length4.2941176
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
70.6%
상수도전용 25
29.4%

Length

2024-05-11T03:57:57.804841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:58.350532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
70.6%
상수도전용 25
29.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
82 
0
 
3

Length

Max length4
Median length4
Mean length3.8941176
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
96.5%
0 3
 
3.5%

Length

2024-05-11T03:57:58.786990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:57:59.168772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
96.5%
0 3
 
3.5%

본사종업원수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
43 
0
42 

Length

Max length4
Median length4
Mean length2.5176471
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> 43
50.6%
0 42
49.4%

Length

2024-05-11T03:57:59.846199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:00.400469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
50.6%
0 42
49.4%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
43 
0
42 

Length

Max length4
Median length4
Mean length2.5176471
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> 43
50.6%
0 42
49.4%

Length

2024-05-11T03:58:00.896228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:01.358162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
50.6%
0 42
49.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
43 
0
42 

Length

Max length4
Median length4
Mean length2.5176471
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> 43
50.6%
0 42
49.4%

Length

2024-05-11T03:58:01.975522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:02.538975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
50.6%
0 42
49.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
43 
0
42 

Length

Max length4
Median length4
Mean length2.5176471
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> 43
50.6%
0 42
49.4%

Length

2024-05-11T03:58:02.937539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:03.354463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
50.6%
0 42
49.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
43 
자가
25 
임대
17 

Length

Max length4
Median length4
Mean length3.0117647
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
50.6%
자가 25
29.4%
임대 17
 
20.0%

Length

2024-05-11T03:58:03.969324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:04.471078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
50.6%
자가 25
29.4%
임대 17
 
20.0%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
79 
0
 
6

Length

Max length4
Median length4
Mean length3.7882353
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> 79
92.9%
0 6
 
7.1%

Length

2024-05-11T03:58:04.993910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:05.356920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
92.9%
0 6
 
7.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
79 
0
 
6

Length

Max length4
Median length4
Mean length3.7882353
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> 79
92.9%
0 6
 
7.1%

Length

2024-05-11T03:58:05.882838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:06.399312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
92.9%
0 6
 
7.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing16
Missing (%)18.8%
Memory size302.0 B
False
69 
(Missing)
16 
ValueCountFrequency (%)
False 69
81.2%
(Missing) 16
 
18.8%
2024-05-11T03:58:06.823017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)20.3%
Missing16
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean147.22478
Minimum0
Maximum1989.5
Zeros55
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-05-11T03:58:07.284978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile820
Maximum1989.5
Range1989.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation350.88806
Coefficient of variation (CV)2.3833492
Kurtosis11.346204
Mean147.22478
Median Absolute Deviation (MAD)0
Skewness3.0734763
Sum10158.51
Variance123122.43
MonotonicityNot monotonic
2024-05-11T03:58:07.859979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 55
64.7%
466.65 2
 
2.4%
523.3 1
 
1.2%
912.38 1
 
1.2%
452.11 1
 
1.2%
1168.0 1
 
1.2%
860.0 1
 
1.2%
756.24 1
 
1.2%
1989.5 1
 
1.2%
760.0 1
 
1.2%
Other values (4) 4
 
4.7%
(Missing) 16
 
18.8%
ValueCountFrequency (%)
0.0 55
64.7%
324.23 1
 
1.2%
332.0 1
 
1.2%
438.45 1
 
1.2%
452.11 1
 
1.2%
466.65 2
 
2.4%
523.3 1
 
1.2%
709.0 1
 
1.2%
756.24 1
 
1.2%
760.0 1
 
1.2%
ValueCountFrequency (%)
1989.5 1
1.2%
1168.0 1
1.2%
912.38 1
1.2%
860.0 1
1.2%
760.0 1
1.2%
756.24 1
1.2%
709.0 1
1.2%
523.3 1
1.2%
466.65 2
2.4%
452.11 1
1.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing85
Missing (%)100.0%
Memory size897.0 B

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
<NA>
84 
5
 
1

Length

Max length4
Median length4
Mean length3.9647059
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
98.8%
5 1
 
1.2%

Length

2024-05-11T03:58:08.691075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:58:09.205292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
98.8%
5 1
 
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030500003050000-114-1985-0060719851111<NA>3폐업2폐업19980716<NA><NA><NA>0209621253.00130864서울특별시 동대문구 제기동 1126-0<NA><NA>세민물산2001-09-29 00:00:00I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업11기타관리상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130500003050000-114-1990-0060419900716<NA>3폐업2폐업20030331<NA><NA><NA>02 96377441,525.92130864서울특별시 동대문구 제기동 892-71<NA><NA>(주)미도파마트2003-06-26 00:00:00I2018-08-31 23:59:59.0기타식품판매업203075.098505452918.836458기타식품판매업00기타관리상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230500003050000-114-1994-0060519940401<NA>1영업/정상1영업<NA><NA><NA><NA>02 95810024,472.71130851서울특별시 동대문구 전농동 591-53서울특별시 동대문구 왕산로 214, 지하2층 (전농동)2555롯데청량리점2022-04-27 07:42:06U2021-12-03 22:09:00.0기타식품판매업204081.282117453187.395154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330500003050000-114-1994-0061419941116<NA>3폐업2폐업19950904<NA><NA><NA>02 2923367.00130814서울특별시 동대문구 신설동 114-90<NA><NA>동흥제과2001-09-29 00:00:00I2018-08-31 23:59:59.0기타식품판매업202107.231467452198.490526기타식품판매업10주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430500003050000-114-1996-0060219960426<NA>3폐업2폐업20050909<NA><NA><NA>0222153707325.88130850서울특별시 동대문구 전농동 33-38<NA><NA>동서울농협전농하나로마트2005-02-24 00:00:00I2018-08-31 23:59:59.0기타식품판매업205064.291041452750.679089기타식품판매업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530500003050000-114-1996-0060319960529<NA>3폐업2폐업19981217<NA><NA><NA>02 2480102.00130846서울특별시 동대문구 장안동 462-0<NA><NA>(주)농협유통하나로마트장안점2001-09-29 00:00:00I2018-08-31 23:59:59.0기타식품판매업205865.688378451110.24531기타식품판매업<NA><NA>유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630500003050000-114-1996-006061996-06-24<NA>1영업/정상1영업<NA><NA><NA><NA>0222467292604.33130-805서울특별시 동대문구 답십리동 530-11서울특별시 동대문구 고미술로 49, 지하1층 (답십리동)2604(주)이마트에브리데이답십리점2024-04-30 14:09:56U2023-12-05 00:02:00.0기타식품판매업204638.486387451699.765836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
730500003050000-114-1996-0060819960627<NA>3폐업2폐업20011218<NA><NA><NA>02 2455334442.63130840서울특별시 동대문구 장안동 331-12<NA><NA>해태유통장안영업소2000-11-10 00:00:00I2018-08-31 23:59:59.0기타식품판매업206506.011772452266.971975기타식품판매업<NA><NA>아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830500003050000-114-1996-0060919960628<NA>3폐업2폐업19990617<NA><NA><NA>02 9626746388.50130875서울특별시 동대문구 휘경동 151-3<NA><NA>(주)남성유통사업부이경점1999-06-30 00:00:00I2018-08-31 23:59:59.0기타식품판매업205761.988408454700.999035기타식품판매업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930500003050000-114-1996-0061019960701<NA>3폐업2폐업19970911<NA><NA><NA>02 2427162.00130883서울특별시 동대문구 답십리동 68-1<NA><NA>양돈축협2001-09-29 00:00:00I2018-08-31 23:59:59.0기타식품판매업205033.87404452322.301296기타식품판매업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
7530500003050000-114-2017-0000220170904<NA>1영업/정상1영업<NA><NA><NA><NA><NA>760.00130030서울특별시 동대문구 답십리동 1003-2서울특별시 동대문구 답십리로 140, 지하1층 1호 (답십리동)2598세기할인마트2017-09-04 11:55:40I2018-08-31 23:59:59.0기타식품판매업204845.874286452243.876954기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N760.0<NA><NA><NA>
7630500003050000-114-2018-000012018-03-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>399.70130-865서울특별시 동대문구 제기동 1019 경동시장서울특별시 동대문구 고산자로36길 3, 경동시장(신관) 2층 60101호 (제기동)2571노브랜드서울경동시장점2024-04-18 09:31:42U2023-12-03 22:01:00.0기타식품판매업203403.019535452985.72542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7730500003050000-114-2018-0000220180501<NA>3폐업2폐업20221108<NA><NA><NA><NA>466.65130842서울특별시 동대문구 장안동 393-8서울특별시 동대문구 답십리로66길 87, 1층 (장안동)2625싱싱식자재할인마트2022-11-08 14:20:16U2021-10-31 23:00:00.0기타식품판매업205810.922953451847.699905<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7830500003050000-114-2018-0000320180525<NA>1영업/정상1영업<NA><NA><NA><NA><NA>324.23130060서울특별시 동대문구 제기동 1212 한신아파트서울특별시 동대문구 고산자로 534, 상가동 지하1층 (제기동, 한신아파트)2467한신마트2019-04-09 14:34:21U2019-04-11 02:40:00.0기타식품판매업203388.646669454069.152284기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N324.23<NA><NA><NA>
7930500003050000-114-2018-0000420180723<NA>3폐업2폐업20221017<NA><NA><NA><NA>666.48130840서울특별시 동대문구 장안동 337-15서울특별시 동대문구 답십리로72길 34, B1층, 1층, 3층 (장안동)2637싱싱할인마트2022-10-17 13:16:34U2021-10-30 23:09:00.0기타식품판매업206443.517718452051.108214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8030500003050000-114-2018-0000520180816<NA>1영업/정상1영업<NA><NA><NA><NA>0233946006438.45130857서울특별시 동대문구 전농동 518 동대문롯데캐슬노블레스서울특별시 동대문구 답십리로23길 30, 지하2층 1호, 2호, 3호 (전농동, 동대문롯데캐슬노블레스)2551전농플러스마트 주식회사2021-04-21 10:42:46U2021-04-23 02:40:00.0기타식품판매업204294.390226452738.033194기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N438.45<NA><NA><NA>
8130500003050000-114-2019-0000120190419<NA>1영업/정상1영업<NA><NA><NA><NA><NA>332.00130030서울특별시 동대문구 답십리동 265-4 답십리 근린생활시설서울특별시 동대문구 전농로 44, 답십리 근린생활시설 1층 (답십리동)2615조은할인마트2019-04-19 09:37:37I2019-04-21 02:20:27.0기타식품판매업204995.674378451836.896415기타식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N332.0<NA><NA><NA>
8230500003050000-114-2020-0000120201029<NA>1영업/정상1영업<NA><NA><NA><NA>0222499277371.28130805서울특별시 동대문구 답십리동 488-18 센시티16서울특별시 동대문구 전농로 16, 1층 (답십리동, 센시티16)2621코끼리마트 답십리점2022-12-05 11:06:23U2021-11-02 00:08:00.0기타식품판매업204909.563771451556.098977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8330500003050000-114-2021-0000120211215<NA>1영업/정상1영업<NA><NA><NA><NA><NA>709.00130836서울특별시 동대문구 장안동 108-5서울특별시 동대문구 한천로 190, 1층 (장안동)2525가자마트2021-12-15 13:24:27I2021-12-17 00:22:42.0기타식품판매업205987.345608452845.284278기타식품판매업00<NA><NA><NA>00000자가00N709.0<NA><NA><NA>
8430500003050000-114-2023-000012023-02-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>345.36130-874서울특별시 동대문구 휘경동 35-6서울특별시 동대문구 망우로 114, 1층 (휘경동)2501신창운수(주) 마트2023-02-09 10:20:37I2022-12-01 23:01:00.0기타식품판매업205731.766563454279.61722<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>