Overview

Dataset statistics

Number of variables44
Number of observations90
Missing cells912
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory378.5 B

Variable types

Categorical20
Text7
DateTime3
Unsupported9
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18049/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (64.7%)Imbalance
여성종사자수 is highly imbalanced (64.7%)Imbalance
총인원 is highly imbalanced (64.7%)Imbalance
보증액 is highly imbalanced (64.7%)Imbalance
월세액 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 90 (100.0%) missing valuesMissing
폐업일자 has 26 (28.9%) missing valuesMissing
휴업시작일자 has 90 (100.0%) missing valuesMissing
휴업종료일자 has 90 (100.0%) missing valuesMissing
재개업일자 has 90 (100.0%) missing valuesMissing
전화번호 has 33 (36.7%) missing valuesMissing
도로명주소 has 10 (11.1%) missing valuesMissing
도로명우편번호 has 11 (12.2%) missing valuesMissing
영업장주변구분명 has 90 (100.0%) missing valuesMissing
등급구분명 has 90 (100.0%) missing valuesMissing
다중이용업소여부 has 11 (12.2%) missing valuesMissing
시설총규모 has 11 (12.2%) missing valuesMissing
전통업소지정번호 has 90 (100.0%) missing valuesMissing
전통업소주된음식 has 90 (100.0%) missing valuesMissing
홈페이지 has 90 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 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
시설총규모 has 26 (28.9%) zerosZeros

Reproduction

Analysis started2024-05-11 06:48:46.130256
Analysis finished2024-05-11 06:48:47.274972
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
3220000
90 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 90
100.0%

Length

2024-05-11T06:48:47.513983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:48:47.906505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 90
100.0%

관리번호
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T06:48:48.423128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1980
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

Unique90 ?
Unique (%)100.0%

Sample

1st row3220000-122-2008-00001
2nd row3220000-122-2008-00002
3rd row3220000-122-2008-00003
4th row3220000-122-2008-00004
5th row3220000-122-2008-00005
ValueCountFrequency (%)
3220000-122-2008-00001 1
 
1.1%
3220000-122-2014-00004 1
 
1.1%
3220000-122-2014-00002 1
 
1.1%
3220000-122-2014-00001 1
 
1.1%
3220000-122-2013-00007 1
 
1.1%
3220000-122-2013-00006 1
 
1.1%
3220000-122-2013-00005 1
 
1.1%
3220000-122-2013-00004 1
 
1.1%
3220000-122-2013-00003 1
 
1.1%
3220000-122-2013-00002 1
 
1.1%
Other values (80) 80
88.9%
2024-05-11T06:48:49.431880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 830
41.9%
2 496
25.1%
- 270
 
13.6%
1 194
 
9.8%
3 111
 
5.6%
8 27
 
1.4%
4 18
 
0.9%
6 9
 
0.5%
7 9
 
0.5%
9 8
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1710
86.4%
Dash Punctuation 270
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 830
48.5%
2 496
29.0%
1 194
 
11.3%
3 111
 
6.5%
8 27
 
1.6%
4 18
 
1.1%
6 9
 
0.5%
7 9
 
0.5%
9 8
 
0.5%
5 8
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 830
41.9%
2 496
25.1%
- 270
 
13.6%
1 194
 
9.8%
3 111
 
5.6%
8 27
 
1.4%
4 18
 
0.9%
6 9
 
0.5%
7 9
 
0.5%
9 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 830
41.9%
2 496
25.1%
- 270
 
13.6%
1 194
 
9.8%
3 111
 
5.6%
8 27
 
1.4%
4 18
 
0.9%
6 9
 
0.5%
7 9
 
0.5%
9 8
 
0.4%
Distinct84
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2008-04-01 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T06:48:50.043904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:48:50.601126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
3
64 
1
26 

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 64
71.1%
1 26
28.9%

Length

2024-05-11T06:48:51.068938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:48:51.478592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 64
71.1%
1 26
28.9%

영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
폐업
64 
영업/정상
26 

Length

Max length5
Median length2
Mean length2.8666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 64
71.1%
영업/정상 26
28.9%

Length

2024-05-11T06:48:51.907809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:48:52.576233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 64
71.1%
영업/정상 26
28.9%
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
2
64 
1
26 

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 64
71.1%
1 26
28.9%

Length

2024-05-11T06:48:52.992428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:48:53.327657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 64
71.1%
1 26
28.9%
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
폐업
64 
영업
26 

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 64
71.1%
영업 26
28.9%

Length

2024-05-11T06:48:53.722395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:48:54.031139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 64
71.1%
영업 26
28.9%

폐업일자
Date

MISSING 

Distinct60
Distinct (%)93.8%
Missing26
Missing (%)28.9%
Memory size852.0 B
Minimum2008-10-21 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T06:48:54.337047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:48:54.979514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing33
Missing (%)36.7%
Memory size852.0 B
2024-05-11T06:48:55.605393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.385965
Min length7

Characters and Unicode

Total characters649
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

Unique57 ?
Unique (%)100.0%

Sample

1st row02 445 0944
2nd row02 451 9731
3rd row02 451 8111
4th row02 34634588
5th row34599600
ValueCountFrequency (%)
02 45
33.6%
451 3
 
2.2%
459 2
 
1.5%
516 2
 
1.5%
070 2
 
1.5%
501 2
 
1.5%
0232908000 1
 
0.7%
0220403872 1
 
0.7%
538 1
 
0.7%
34324680 1
 
0.7%
Other values (74) 74
55.2%
2024-05-11T06:48:56.756058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.5%
0 97
14.9%
2 86
13.3%
5 62
9.6%
4 56
8.6%
1 51
7.9%
6 39
 
6.0%
3 38
 
5.9%
8 37
 
5.7%
7 36
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 529
81.5%
Space Separator 120
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 97
18.3%
2 86
16.3%
5 62
11.7%
4 56
10.6%
1 51
9.6%
6 39
7.4%
3 38
 
7.2%
8 37
 
7.0%
7 36
 
6.8%
9 27
 
5.1%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
120
18.5%
0 97
14.9%
2 86
13.3%
5 62
9.6%
4 56
8.6%
1 51
7.9%
6 39
 
6.0%
3 38
 
5.9%
8 37
 
5.7%
7 36
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
18.5%
0 97
14.9%
2 86
13.3%
5 62
9.6%
4 56
8.6%
1 51
7.9%
6 39
 
6.0%
3 38
 
5.9%
8 37
 
5.7%
7 36
 
5.5%
Distinct70
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T06:48:57.437062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2777778
Min length3

Characters and Unicode

Total characters475
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

Unique61 ?
Unique (%)67.8%

Sample

1st row165.00
2nd row165.00
3rd row45.00
4th row30.25
5th row66.00
ValueCountFrequency (%)
33.00 7
 
7.8%
66.00 6
 
6.7%
10.00 4
 
4.4%
15.00 2
 
2.2%
165.00 2
 
2.2%
26.40 2
 
2.2%
56.00 2
 
2.2%
25.00 2
 
2.2%
200.00 2
 
2.2%
16.56 1
 
1.1%
Other values (60) 60
66.7%
2024-05-11T06:48:58.680452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
29.5%
. 90
18.9%
3 36
 
7.6%
1 35
 
7.4%
6 33
 
6.9%
2 33
 
6.9%
5 32
 
6.7%
4 26
 
5.5%
8 17
 
3.6%
9 17
 
3.6%
Other values (2) 16
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.8%
Other Punctuation 91
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
36.5%
3 36
 
9.4%
1 35
 
9.1%
6 33
 
8.6%
2 33
 
8.6%
5 32
 
8.3%
4 26
 
6.8%
8 17
 
4.4%
9 17
 
4.4%
7 15
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 90
98.9%
, 1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 475
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
29.5%
. 90
18.9%
3 36
 
7.6%
1 35
 
7.4%
6 33
 
6.9%
2 33
 
6.9%
5 32
 
6.7%
4 26
 
5.5%
8 17
 
3.6%
9 17
 
3.6%
Other values (2) 16
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
29.5%
. 90
18.9%
3 36
 
7.6%
1 35
 
7.4%
6 33
 
6.9%
2 33
 
6.9%
5 32
 
6.7%
4 26
 
5.5%
8 17
 
3.6%
9 17
 
3.6%
Other values (2) 16
 
3.4%
Distinct61
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T06:48:59.253348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0666667
Min length6

Characters and Unicode

Total characters546
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

Unique46 ?
Unique (%)51.1%

Sample

1st row135210
2nd row135210
3rd row135943
4th row135884
5th row135210
ValueCountFrequency (%)
135962 7
 
7.8%
135210 5
 
5.6%
135943 5
 
5.6%
135965 3
 
3.3%
135897 3
 
3.3%
135851 3
 
3.3%
135907 2
 
2.2%
135937 2
 
2.2%
135802 2
 
2.2%
135884 2
 
2.2%
Other values (51) 56
62.2%
2024-05-11T06:49:00.311385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 114
20.9%
5 110
20.1%
3 106
19.4%
8 55
10.1%
9 46
8.4%
2 29
 
5.3%
4 24
 
4.4%
0 21
 
3.8%
6 18
 
3.3%
7 17
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
98.9%
Dash Punctuation 6
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 114
21.1%
5 110
20.4%
3 106
19.6%
8 55
10.2%
9 46
8.5%
2 29
 
5.4%
4 24
 
4.4%
0 21
 
3.9%
6 18
 
3.3%
7 17
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 546
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 114
20.9%
5 110
20.1%
3 106
19.4%
8 55
10.1%
9 46
8.4%
2 29
 
5.3%
4 24
 
4.4%
0 21
 
3.8%
6 18
 
3.3%
7 17
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 114
20.9%
5 110
20.1%
3 106
19.4%
8 55
10.1%
9 46
8.4%
2 29
 
5.3%
4 24
 
4.4%
0 21
 
3.8%
6 18
 
3.3%
7 17
 
3.1%
Distinct89
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T06:49:01.181328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30.5
Mean length24.8
Min length18

Characters and Unicode

Total characters2232
Distinct characters115
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

Unique88 ?
Unique (%)97.8%

Sample

1st row서울특별시 강남구 율현동 281-2
2nd row서울특별시 강남구 율현동 281-2 1층
3rd row서울특별시 강남구 일원동 624-6 지상1층
4th row서울특별시 강남구 수서동 716-0 사이룩스 동관 1012호
5th row서울특별시 강남구 율현동 299-13 1층
ValueCountFrequency (%)
서울특별시 90
20.3%
강남구 90
20.3%
역삼동 16
 
3.6%
개포동 15
 
3.4%
논현동 9
 
2.0%
삼성동 9
 
2.0%
지상1층 8
 
1.8%
일원동 8
 
1.8%
대치동 8
 
1.8%
지하1층 7
 
1.6%
Other values (146) 183
41.3%
2024-05-11T06:49:03.008957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
423
19.0%
1 119
 
5.3%
102
 
4.6%
95
 
4.3%
94
 
4.2%
92
 
4.1%
91
 
4.1%
90
 
4.0%
90
 
4.0%
90
 
4.0%
Other values (105) 946
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1258
56.4%
Decimal Number 464
 
20.8%
Space Separator 423
 
19.0%
Dash Punctuation 81
 
3.6%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
102
 
8.1%
95
 
7.6%
94
 
7.5%
92
 
7.3%
91
 
7.2%
90
 
7.2%
90
 
7.2%
90
 
7.2%
90
 
7.2%
38
 
3.0%
Other values (88) 386
30.7%
Decimal Number
ValueCountFrequency (%)
1 119
25.6%
2 67
14.4%
6 46
 
9.9%
7 43
 
9.3%
0 39
 
8.4%
4 35
 
7.5%
5 33
 
7.1%
3 32
 
6.9%
8 25
 
5.4%
9 25
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1258
56.4%
Common 973
43.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
102
 
8.1%
95
 
7.6%
94
 
7.5%
92
 
7.3%
91
 
7.2%
90
 
7.2%
90
 
7.2%
90
 
7.2%
90
 
7.2%
38
 
3.0%
Other values (88) 386
30.7%
Common
ValueCountFrequency (%)
423
43.5%
1 119
 
12.2%
- 81
 
8.3%
2 67
 
6.9%
6 46
 
4.7%
7 43
 
4.4%
0 39
 
4.0%
4 35
 
3.6%
5 33
 
3.4%
3 32
 
3.3%
Other values (6) 55
 
5.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1258
56.4%
ASCII 974
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
423
43.4%
1 119
 
12.2%
- 81
 
8.3%
2 67
 
6.9%
6 46
 
4.7%
7 43
 
4.4%
0 39
 
4.0%
4 35
 
3.6%
5 33
 
3.4%
3 32
 
3.3%
Other values (7) 56
 
5.7%
Hangul
ValueCountFrequency (%)
102
 
8.1%
95
 
7.6%
94
 
7.5%
92
 
7.3%
91
 
7.2%
90
 
7.2%
90
 
7.2%
90
 
7.2%
90
 
7.2%
38
 
3.0%
Other values (88) 386
30.7%

도로명주소
Text

MISSING 

Distinct80
Distinct (%)100.0%
Missing10
Missing (%)11.1%
Memory size852.0 B
2024-05-11T06:49:03.869851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length34.6
Min length24

Characters and Unicode

Total characters2768
Distinct characters145
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

Unique80 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 밤고개로 286-1 (율현동,1층)
2nd row서울특별시 강남구 개포로 650 (일원동,지상1층)
3rd row서울특별시 강남구 광평로 295 (수서동,사이룩스 동관 1012호)
4th row서울특별시 강남구 밤고개로24길 38 (율현동,1층)
5th row서울특별시 강남구 논현로8길 19 (개포동,1층)
ValueCountFrequency (%)
서울특별시 80
 
15.5%
강남구 80
 
15.5%
지상1층 11
 
2.1%
개포동 10
 
1.9%
역삼동 10
 
1.9%
지하1층 8
 
1.6%
논현동 7
 
1.4%
3층 6
 
1.2%
일원동 5
 
1.0%
삼성동 5
 
1.0%
Other values (221) 294
57.0%
2024-05-11T06:49:05.095601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
15.8%
1 123
 
4.4%
, 101
 
3.6%
95
 
3.4%
92
 
3.3%
89
 
3.2%
85
 
3.1%
82
 
3.0%
81
 
2.9%
( 81
 
2.9%
Other values (135) 1503
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1588
57.4%
Decimal Number 464
 
16.8%
Space Separator 436
 
15.8%
Other Punctuation 102
 
3.7%
Open Punctuation 81
 
2.9%
Close Punctuation 81
 
2.9%
Dash Punctuation 13
 
0.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
95
 
6.0%
92
 
5.8%
89
 
5.6%
85
 
5.4%
82
 
5.2%
81
 
5.1%
81
 
5.1%
80
 
5.0%
80
 
5.0%
80
 
5.0%
Other values (117) 743
46.8%
Decimal Number
ValueCountFrequency (%)
1 123
26.5%
2 65
14.0%
3 62
13.4%
0 49
 
10.6%
6 37
 
8.0%
5 33
 
7.1%
4 30
 
6.5%
8 25
 
5.4%
7 24
 
5.2%
9 16
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 101
99.0%
. 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1588
57.4%
Common 1177
42.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
95
 
6.0%
92
 
5.8%
89
 
5.6%
85
 
5.4%
82
 
5.2%
81
 
5.1%
81
 
5.1%
80
 
5.0%
80
 
5.0%
80
 
5.0%
Other values (117) 743
46.8%
Common
ValueCountFrequency (%)
436
37.0%
1 123
 
10.5%
, 101
 
8.6%
( 81
 
6.9%
) 81
 
6.9%
2 65
 
5.5%
3 62
 
5.3%
0 49
 
4.2%
6 37
 
3.1%
5 33
 
2.8%
Other values (6) 109
 
9.3%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1588
57.4%
ASCII 1180
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
36.9%
1 123
 
10.4%
, 101
 
8.6%
( 81
 
6.9%
) 81
 
6.9%
2 65
 
5.5%
3 62
 
5.3%
0 49
 
4.2%
6 37
 
3.1%
5 33
 
2.8%
Other values (8) 112
 
9.5%
Hangul
ValueCountFrequency (%)
95
 
6.0%
92
 
5.8%
89
 
5.6%
85
 
5.4%
82
 
5.2%
81
 
5.1%
81
 
5.1%
80
 
5.0%
80
 
5.0%
80
 
5.0%
Other values (117) 743
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)72.2%
Missing11
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean6227.1772
Minimum6015
Maximum6378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T06:49:05.647209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6015
5-th percentile6034.5
Q16120
median6243
Q36337.5
95-th percentile6377
Maximum6378
Range363
Interquartile range (IQR)217.5

Descriptive statistics

Standard deviation116.5946
Coefficient of variation (CV)0.018723508
Kurtosis-1.2397178
Mean6227.1772
Median Absolute Deviation (MAD)96
Skewness-0.37766201
Sum491947
Variance13594.302
MonotonicityNot monotonic
2024-05-11T06:49:06.103989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6339 5
 
5.6%
6312 3
 
3.3%
6367 3
 
3.3%
6377 3
 
3.3%
6177 3
 
3.3%
6018 2
 
2.2%
6378 2
 
2.2%
6349 2
 
2.2%
6308 2
 
2.2%
6227 2
 
2.2%
Other values (47) 52
57.8%
(Missing) 11
 
12.2%
ValueCountFrequency (%)
6015 1
1.1%
6018 2
2.2%
6030 1
1.1%
6035 1
1.1%
6038 1
1.1%
6040 1
1.1%
6047 1
1.1%
6052 1
1.1%
6057 1
1.1%
6060 1
1.1%
ValueCountFrequency (%)
6378 2
 
2.2%
6377 3
3.3%
6370 1
 
1.1%
6367 3
3.3%
6360 1
 
1.1%
6354 1
 
1.1%
6349 2
 
2.2%
6342 2
 
2.2%
6339 5
5.6%
6336 1
 
1.1%

사업장명
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T06:49:07.429745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.4111111
Min length2

Characters and Unicode

Total characters667
Distinct characters182
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st row농업회사법인주식회사성원푸드서비스
2nd row일하영농조합법인
3rd row주식회사 동선기업
4th row동아유통
5th row(주)제광
ValueCountFrequency (%)
주식회사 6
 
5.7%
2
 
1.9%
주)아워홈 2
 
1.9%
농업회사법인주식회사성원푸드서비스 1
 
1.0%
주)하은마트 1
 
1.0%
주)피피더블유코리아 1
 
1.0%
현진그린밀(주 1
 
1.0%
주)해솔네트웍스 1
 
1.0%
가락유통 1
 
1.0%
호일헬스케어 1
 
1.0%
Other values (88) 88
83.8%
2024-05-11T06:49:08.797401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
7.8%
) 45
 
6.7%
( 45
 
6.7%
19
 
2.8%
16
 
2.4%
15
 
2.2%
15
 
2.2%
15
 
2.2%
13
 
1.9%
13
 
1.9%
Other values (172) 419
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 562
84.3%
Close Punctuation 45
 
6.7%
Open Punctuation 45
 
6.7%
Space Separator 15
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
 
9.3%
19
 
3.4%
16
 
2.8%
15
 
2.7%
15
 
2.7%
13
 
2.3%
13
 
2.3%
11
 
2.0%
10
 
1.8%
10
 
1.8%
Other values (169) 388
69.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 562
84.3%
Common 105
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
 
9.3%
19
 
3.4%
16
 
2.8%
15
 
2.7%
15
 
2.7%
13
 
2.3%
13
 
2.3%
11
 
2.0%
10
 
1.8%
10
 
1.8%
Other values (169) 388
69.0%
Common
ValueCountFrequency (%)
) 45
42.9%
( 45
42.9%
15
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 562
84.3%
ASCII 105
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
52
 
9.3%
19
 
3.4%
16
 
2.8%
15
 
2.7%
15
 
2.7%
13
 
2.3%
13
 
2.3%
11
 
2.0%
10
 
1.8%
10
 
1.8%
Other values (169) 388
69.0%
ASCII
ValueCountFrequency (%)
) 45
42.9%
( 45
42.9%
15
 
14.3%

최종수정일자
Date

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2008-05-07 12:51:03
Maximum2024-04-26 14:49:38
2024-05-11T06:49:09.246859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:49:09.752683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
I
66 
U
24 

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 66
73.3%
U 24
 
26.7%

Length

2024-05-11T06:49:10.294411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:10.656619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 66
73.3%
u 24
 
26.7%
Distinct33
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
2018-08-31 23:59:59.0
58 
2020-04-24 02:40:00.0
 
1
2021-11-27 02:40:00.0
 
1
2021-10-23 02:40:00.0
 
1
2019-08-10 02:40:00.0
 
1
Other values (28)
28 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique32 ?
Unique (%)35.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 58
64.4%
2020-04-24 02:40:00.0 1
 
1.1%
2021-11-27 02:40:00.0 1
 
1.1%
2021-10-23 02:40:00.0 1
 
1.1%
2019-08-10 02:40:00.0 1
 
1.1%
2018-10-18 02:35:51.0 1
 
1.1%
2019-07-17 02:40:00.0 1
 
1.1%
2019-08-01 02:40:00.0 1
 
1.1%
2019-11-16 02:40:00.0 1
 
1.1%
2020-12-13 02:40:00.0 1
 
1.1%
Other values (23) 23
 
25.6%

Length

2024-05-11T06:49:11.022007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 58
32.2%
23:59:59.0 58
32.2%
02:40:00.0 19
 
10.6%
22:09:00.0 2
 
1.1%
2023-12-01 1
 
0.6%
00:23:13.0 1
 
0.6%
2022-12-02 1
 
0.6%
00:02:00.0 1
 
0.6%
2021-12-08 1
 
0.6%
2021-08-15 1
 
0.6%
Other values (37) 37
20.6%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
집단급식소 식품판매업
90 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 90
100.0%

Length

2024-05-11T06:49:11.621366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:12.044312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 90
50.0%
식품판매업 90
50.0%

좌표정보(X)
Real number (ℝ)

Distinct80
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205044.1
Minimum201732.24
Maximum209628.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T06:49:12.809523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201732.24
5-th percentile202304.42
Q1203446.12
median204257.08
Q3206605.64
95-th percentile209398.93
Maximum209628.77
Range7896.538
Interquartile range (IQR)3159.5165

Descriptive statistics

Standard deviation2296.0086
Coefficient of variation (CV)0.011197633
Kurtosis-0.62233021
Mean205044.1
Median Absolute Deviation (MAD)1256.9769
Skewness0.73370588
Sum18453969
Variance5271655.3
MonotonicityNot monotonic
2024-05-11T06:49:13.436794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209398.934372826 3
 
3.3%
205821.765682682 2
 
2.2%
207348.97 2
 
2.2%
209055.480464368 2
 
2.2%
205341.410174592 2
 
2.2%
209628.773156947 2
 
2.2%
202725.962072631 2
 
2.2%
203493.498593544 2
 
2.2%
204389.356959707 2
 
2.2%
207462.203172804 1
 
1.1%
Other values (70) 70
77.8%
ValueCountFrequency (%)
201732.23516369 1
1.1%
201800.200643211 1
1.1%
201851.18 1
1.1%
202141.496487893 1
1.1%
202228.180670471 1
1.1%
202397.590563373 1
1.1%
202476.461839188 1
1.1%
202554.190763193 1
1.1%
202613.153899655 1
1.1%
202619.098126049 1
1.1%
ValueCountFrequency (%)
209628.773156947 2
2.2%
209594.274333333 1
 
1.1%
209398.934372826 3
3.3%
209394.0 1
 
1.1%
209308.605520439 1
 
1.1%
209144.783150288 1
 
1.1%
209118.310773255 1
 
1.1%
209055.480464368 2
2.2%
209052.072465426 1
 
1.1%
207950.137458581 1
 
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct80
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443868.16
Minimum440361.99
Maximum447259.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T06:49:13.856208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440361.99
5-th percentile440827.95
Q1442340.17
median443672.34
Q3445349.64
95-th percentile446950.83
Maximum447259.65
Range6897.6624
Interquartile range (IQR)3009.4696

Descriptive statistics

Standard deviation1871.1232
Coefficient of variation (CV)0.0042154933
Kurtosis-0.98983783
Mean443868.16
Median Absolute Deviation (MAD)1587.2934
Skewness0.0032783482
Sum39948134
Variance3501102.2
MonotonicityNot monotonic
2024-05-11T06:49:14.244349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440732.028087332 3
 
3.3%
444626.231389865 2
 
2.2%
443627.985 2
 
2.2%
442735.704146657 2
 
2.2%
442278.146643186 2
 
2.2%
440361.989121116 2
 
2.2%
443203.561575728 2
 
2.2%
447259.651524872 2
 
2.2%
441457.423640678 2
 
2.2%
443429.858933553 1
 
1.1%
Other values (70) 70
77.8%
ValueCountFrequency (%)
440361.989121116 2
2.2%
440732.028087332 3
3.3%
440945.185666667 1
 
1.1%
441110.616565677 1
 
1.1%
441328.0 1
 
1.1%
441354.036994165 1
 
1.1%
441357.065052098 1
 
1.1%
441457.423640678 2
2.2%
441705.808334957 1
 
1.1%
441735.088002182 1
 
1.1%
ValueCountFrequency (%)
447259.651524872 2
2.2%
447041.856582807 1
1.1%
447004.189243058 1
1.1%
446966.084027876 1
1.1%
446932.177168423 1
1.1%
446479.893605702 1
1.1%
446386.168057844 1
1.1%
446334.190284042 1
1.1%
446316.514036122 1
1.1%
446203.977267869 1
1.1%

위생업태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
집단급식소 식품판매업
79 
<NA>
11 

Length

Max length11
Median length11
Mean length10.144444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 79
87.8%
<NA> 11
 
12.2%

Length

2024-05-11T06:49:14.707620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:15.083100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 79
46.7%
식품판매업 79
46.7%
na 11
 
6.5%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
84 
0
 
6

Length

Max length4
Median length4
Mean length3.8
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> 84
93.3%
0 6
 
6.7%

Length

2024-05-11T06:49:15.472009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:15.885713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
93.3%
0 6
 
6.7%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
84 
0
 
6

Length

Max length4
Median length4
Mean length3.8
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> 84
93.3%
0 6
 
6.7%

Length

2024-05-11T06:49:16.280082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:16.624709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
93.3%
0 6
 
6.7%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
78 
상수도전용
12 

Length

Max length5
Median length4
Mean length4.1333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
86.7%
상수도전용 12
 
13.3%

Length

2024-05-11T06:49:17.113360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:17.615620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
86.7%
상수도전용 12
 
13.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
84 
0
 
6

Length

Max length4
Median length4
Mean length3.8
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> 84
93.3%
0 6
 
6.7%

Length

2024-05-11T06:49:18.191011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:18.645542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
93.3%
0 6
 
6.7%
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
78 
0
12 

Length

Max length4
Median length4
Mean length3.6
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> 78
86.7%
0 12
 
13.3%

Length

2024-05-11T06:49:19.199106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:19.631086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
86.7%
0 12
 
13.3%
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
78 
0
12 

Length

Max length4
Median length4
Mean length3.6
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> 78
86.7%
0 12
 
13.3%

Length

2024-05-11T06:49:20.085419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:20.434734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
86.7%
0 12
 
13.3%
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
78 
0
12 

Length

Max length4
Median length4
Mean length3.6
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> 78
86.7%
0 12
 
13.3%

Length

2024-05-11T06:49:20.875229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:21.286772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
86.7%
0 12
 
13.3%
Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
78 
0
12 

Length

Max length4
Median length4
Mean length3.6
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> 78
86.7%
0 12
 
13.3%

Length

2024-05-11T06:49:21.663184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:22.098018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
86.7%
0 12
 
13.3%
Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
44 
자가
24 
임대
22 

Length

Max length4
Median length2
Mean length2.9777778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
48.9%
자가 24
26.7%
임대 22
24.4%

Length

2024-05-11T06:49:22.443708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:23.122499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
48.9%
자가 24
26.7%
임대 22
24.4%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
84 
0
 
6

Length

Max length4
Median length4
Mean length3.8
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> 84
93.3%
0 6
 
6.7%

Length

2024-05-11T06:49:23.594309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:23.930473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
93.3%
0 6
 
6.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
84 
0
 
6

Length

Max length4
Median length4
Mean length3.8
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> 84
93.3%
0 6
 
6.7%

Length

2024-05-11T06:49:24.258700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:49:24.647259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
93.3%
0 6
 
6.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.3%
Missing11
Missing (%)12.2%
Memory size312.0 B
False
79 
(Missing)
11 
ValueCountFrequency (%)
False 79
87.8%
(Missing) 11
 
12.2%
2024-05-11T06:49:24.950692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)59.5%
Missing11
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean91.018228
Minimum0
Maximum1815.14
Zeros26
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T06:49:25.304858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23
Q366
95-th percentile400.55
Maximum1815.14
Range1815.14
Interquartile range (IQR)66

Descriptive statistics

Standard deviation232.64448
Coefficient of variation (CV)2.5560207
Kurtosis39.595044
Mean91.018228
Median Absolute Deviation (MAD)23
Skewness5.7347633
Sum7190.44
Variance54123.452
MonotonicityNot monotonic
2024-05-11T06:49:25.824708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 26
28.9%
66.0 4
 
4.4%
33.0 3
 
3.3%
10.0 2
 
2.2%
15.0 2
 
2.2%
1815.14 1
 
1.1%
401.0 1
 
1.1%
98.68 1
 
1.1%
115.82 1
 
1.1%
39.79 1
 
1.1%
Other values (37) 37
41.1%
(Missing) 11
 
12.2%
ValueCountFrequency (%)
0.0 26
28.9%
4.0 1
 
1.1%
10.0 2
 
2.2%
12.0 1
 
1.1%
13.2 1
 
1.1%
15.0 2
 
2.2%
16.2 1
 
1.1%
16.56 1
 
1.1%
18.97 1
 
1.1%
19.5 1
 
1.1%
ValueCountFrequency (%)
1815.14 1
1.1%
717.13 1
1.1%
457.0 1
1.1%
401.0 1
1.1%
400.5 1
1.1%
337.0 1
1.1%
295.0 1
1.1%
284.79 1
1.1%
280.5 1
1.1%
200.0 1
1.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-122-2008-0000120080401<NA>3폐업2폐업20110808<NA><NA><NA>02 445 0944165.00135210서울특별시 강남구 율현동 281-2<NA><NA>농업회사법인주식회사성원푸드서비스2009-01-22 12:00:07I2018-08-31 23:59:59.0집단급식소 식품판매업209398.934373440732.028087집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
132200003220000-122-2008-0000220080507<NA>3폐업2폐업20160721<NA><NA><NA>02 451 9731165.00135210서울특별시 강남구 율현동 281-2 1층서울특별시 강남구 밤고개로 286-1 (율현동,1층)6377일하영농조합법인2008-05-07 12:51:03I2018-08-31 23:59:59.0집단급식소 식품판매업209398.934373440732.028087집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
232200003220000-122-2008-0000320080507<NA>3폐업2폐업20140422<NA><NA><NA><NA>45.00135943서울특별시 강남구 일원동 624-6 지상1층서울특별시 강남구 개포로 650 (일원동,지상1층)6339주식회사 동선기업2013-07-18 13:52:33I2018-08-31 23:59:59.0집단급식소 식품판매업207348.97443627.985집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N45.0<NA><NA><NA>
332200003220000-122-2008-0000420080623<NA>3폐업2폐업20120727<NA><NA><NA><NA>30.25135884서울특별시 강남구 수서동 716-0 사이룩스 동관 1012호서울특별시 강남구 광평로 295 (수서동,사이룩스 동관 1012호)6349동아유통2008-06-23 12:20:22I2018-08-31 23:59:59.0집단급식소 식품판매업209144.78315442922.611327집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
432200003220000-122-2008-0000520080715<NA>3폐업2폐업20170901<NA><NA><NA>02 451 811166.00135210서울특별시 강남구 율현동 299-13 1층서울특별시 강남구 밤고개로24길 38 (율현동,1층)6377(주)제광2017-09-01 15:34:55I2018-08-31 23:59:59.0집단급식소 식품판매업209308.60552441110.616566집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
532200003220000-122-2008-0000620080715<NA>3폐업2폐업20170307<NA><NA><NA>02 34634588131.04135961서울특별시 강남구 개포동 1187-7 1층서울특별시 강남구 논현로8길 19 (개포동,1층)6314(주)작은사랑2008-07-15 14:02:59I2018-08-31 23:59:59.0집단급식소 식품판매업204382.776675441354.036994집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
632200003220000-122-2008-0000720080723<NA>1영업/정상1영업<NA><NA><NA><NA>345996001,815.14135851서울특별시 강남구 대치동 1009-5서울특별시 강남구 영동대로 302, 지상3,4층 (대치동)6177롯데상사(주)2020-04-22 14:27:11U2020-04-24 02:40:00.0집단급식소 식품판매업205922.471042444383.149648집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N1815.14<NA><NA><NA>
732200003220000-122-2008-0000820080827<NA>3폐업2폐업20211125<NA><NA><NA>02 529 374126.40135962서울특별시 강남구 개포동 1194-6 다우빌딩서울특별시 강남구 논현로 38, 지하1층 (개포동)6312(주)진풍푸드서비스2021-11-25 09:44:59U2021-11-27 02:40:00.0집단급식소 식품판매업204216.023345441357.065052집단급식소 식품판매업00<NA><NA>상수도전용00000임대00N26.4<NA><NA><NA>
832200003220000-122-2008-0000920080908<NA>3폐업2폐업20081021<NA><NA><NA>02 543 762764.20135954서울특별시 강남구 청담동 85-2 유리빌딩 지상2층<NA><NA>(주)스케티2008-09-08 16:57:21I2018-08-31 23:59:59.0집단급식소 식품판매업203476.174718447004.189243집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N64.2<NA><NA><NA>
932200003220000-122-2008-0001020080926<NA>1영업/정상1영업<NA><NA><NA><NA>574749225.00135962서울특별시 강남구 개포동 1205-9서울특별시 강남구 개포로24길 21, 지상2층 202호 (개포동)6308(주)네오푸드2017-05-15 17:19:00I2018-08-31 23:59:59.0집단급식소 식품판매업204276.659554441735.088002집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N25.0<NA><NA><NA>
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8132200003220000-122-2021-0000120210630<NA>3폐업2폐업20210813<NA><NA><NA><NA>4.00135919서울특별시 강남구 역삼동 708-30 송경빌딩서울특별시 강남구 선릉로87길 12, 송경빌딩 3층 3101호 (역삼동)6212현대상호에프앤비2021-08-13 17:19:37U2021-08-15 02:40:00.0집단급식소 식품판매업204219.614508444552.051932집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N4.0<NA><NA><NA>
8232200003220000-122-2021-0000220211111<NA>1영업/정상1영업<NA><NA><NA><NA>02 6715711627.00135714서울특별시 강남구 논현동 105-7 두산빌딩서울특별시 강남구 언주로 726, 두산빌딩 지상7층 (논현동)6057(주) 초록마을2022-10-27 10:46:24I2021-10-30 22:09:00.0집단급식소 식품판매업203050.78389446316.514036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8332200003220000-122-2022-0000120220224<NA>1영업/정상1영업<NA><NA><NA><NA><NA>10.00135947서울특별시 강남구 일원동 734 상록수아파트서울특별시 강남구 광평로10길 15, 상가동 지하1층 56호,59호 (일원동, 상록수아파트)6360에스제이푸드시스탬2022-11-25 15:10:54U2021-10-31 22:07:00.0집단급식소 식품판매업207194.61711442206.839955<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8432200003220000-122-2022-0000220220404<NA>1영업/정상1영업<NA><NA><NA><NA>02 21555100155.02135859서울특별시 강남구 도곡동 924-5 백광빌딩서울특별시 강남구 남부순환로363길 13, 백광빌딩 지상1층 (도곡동)6268오아시스2022-04-04 11:38:15I2021-12-04 00:07:00.0집단급식소 식품판매업203262.656148442658.068015<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8532200003220000-122-2022-0000320221215<NA>1영업/정상1영업<NA><NA><NA><NA><NA>25.00135943서울특별시 강남구 일원동 628-6서울특별시 강남구 개포로128길 33, 지상1층 (일원동)6339우유일원대리점2022-12-15 13:46:31I2021-11-01 23:07:00.0집단급식소 식품판매업207378.864717443440.082886<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8632200003220000-122-2023-000012023-02-17<NA>3폐업2폐업2024-04-03<NA><NA><NA><NA>74.60135-818서울특별시 강남구 논현동 81-8서울특별시 강남구 논현로134길 13, 지상4층 402-2호 (논현동)6052주앤주2024-04-03 15:09:43U2023-12-04 00:05:00.0집단급식소 식품판매업202693.291085445949.503455<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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