Overview

Dataset statistics

Number of variables44
Number of observations141
Missing cells1437
Missing cells (%)23.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.0 KiB
Average record size in memory377.9 B

Variable types

Categorical19
Text7
DateTime4
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18033/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (53.3%)Imbalance
남성종사자수 is highly imbalanced (68.6%)Imbalance
여성종사자수 is highly imbalanced (68.6%)Imbalance
총인원 is highly imbalanced (68.6%)Imbalance
보증액 is highly imbalanced (76.4%)Imbalance
월세액 is highly imbalanced (76.4%)Imbalance
인허가취소일자 has 141 (100.0%) missing valuesMissing
폐업일자 has 47 (33.3%) missing valuesMissing
휴업시작일자 has 141 (100.0%) missing valuesMissing
휴업종료일자 has 141 (100.0%) missing valuesMissing
재개업일자 has 141 (100.0%) missing valuesMissing
전화번호 has 55 (39.0%) missing valuesMissing
소재지면적 has 3 (2.1%) missing valuesMissing
도로명주소 has 16 (11.3%) missing valuesMissing
도로명우편번호 has 19 (13.5%) missing valuesMissing
영업장주변구분명 has 141 (100.0%) missing valuesMissing
등급구분명 has 141 (100.0%) missing valuesMissing
다중이용업소여부 has 14 (9.9%) missing valuesMissing
시설총규모 has 14 (9.9%) missing valuesMissing
전통업소지정번호 has 141 (100.0%) missing valuesMissing
전통업소주된음식 has 141 (100.0%) missing valuesMissing
홈페이지 has 141 (100.0%) missing valuesMissing
관리번호 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 75 (53.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:26:11.661790
Analysis finished2024-05-11 05:26:12.424049
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3060000
141 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3060000 141
100.0%

Length

2024-05-11T14:26:12.503641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:12.623156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 141
100.0%

관리번호
Text

UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:26:12.819586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters3102
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

Unique141 ?
Unique (%)100.0%

Sample

1st row3060000-122-2008-00001
2nd row3060000-122-2008-00002
3rd row3060000-122-2008-00003
4th row3060000-122-2008-00004
5th row3060000-122-2008-00005
ValueCountFrequency (%)
3060000-122-2008-00001 1
 
0.7%
3060000-122-2013-00007 1
 
0.7%
3060000-122-2013-00009 1
 
0.7%
3060000-122-2014-00001 1
 
0.7%
3060000-122-2014-00002 1
 
0.7%
3060000-122-2014-00003 1
 
0.7%
3060000-122-2014-00004 1
 
0.7%
3060000-122-2014-00005 1
 
0.7%
3060000-122-2013-00008 1
 
0.7%
3060000-122-2012-00007 1
 
0.7%
Other values (131) 131
92.9%
2024-05-11T14:26:13.210673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1427
46.0%
2 485
 
15.6%
- 423
 
13.6%
1 315
 
10.2%
3 175
 
5.6%
6 156
 
5.0%
8 37
 
1.2%
9 28
 
0.9%
4 25
 
0.8%
5 16
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2679
86.4%
Dash Punctuation 423
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1427
53.3%
2 485
 
18.1%
1 315
 
11.8%
3 175
 
6.5%
6 156
 
5.8%
8 37
 
1.4%
9 28
 
1.0%
4 25
 
0.9%
5 16
 
0.6%
7 15
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3102
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1427
46.0%
2 485
 
15.6%
- 423
 
13.6%
1 315
 
10.2%
3 175
 
5.6%
6 156
 
5.0%
8 37
 
1.2%
9 28
 
0.9%
4 25
 
0.8%
5 16
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1427
46.0%
2 485
 
15.6%
- 423
 
13.6%
1 315
 
10.2%
3 175
 
5.6%
6 156
 
5.0%
8 37
 
1.2%
9 28
 
0.9%
4 25
 
0.8%
5 16
 
0.5%

인허가일자
Date

Distinct130
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2008-03-14 00:00:00
Maximum2024-01-19 00:00:00
2024-05-11T14:26:13.385842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:13.553370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
94 
1
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 94
66.7%
1 47
33.3%

Length

2024-05-11T14:26:13.735210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:13.840590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 94
66.7%
1 47
33.3%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
94 
영업/정상
47 

Length

Max length5
Median length2
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 94
66.7%
영업/정상 47
33.3%

Length

2024-05-11T14:26:13.954218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:14.065586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 94
66.7%
영업/정상 47
33.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2
94 
1
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 94
66.7%
1 47
33.3%

Length

2024-05-11T14:26:14.190184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:14.324146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 94
66.7%
1 47
33.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
94 
영업
47 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 94
66.7%
영업 47
33.3%

Length

2024-05-11T14:26:14.422657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:14.523736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 94
66.7%
영업 47
33.3%

폐업일자
Date

MISSING 

Distinct87
Distinct (%)92.6%
Missing47
Missing (%)33.3%
Memory size1.2 KiB
Minimum2009-01-19 00:00:00
Maximum2024-03-22 00:00:00
2024-05-11T14:26:14.909326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:15.064741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct81
Distinct (%)94.2%
Missing55
Missing (%)39.0%
Memory size1.2 KiB
2024-05-11T14:26:15.339255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.360465
Min length7

Characters and Unicode

Total characters977
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

Unique76 ?
Unique (%)88.4%

Sample

1st row02 435 9800
2nd row02 433 4755
3rd row02 22073298
4th row02 437 2142
5th row02 495 7599
ValueCountFrequency (%)
02 71
35.0%
434 6
 
3.0%
438 3
 
1.5%
070 3
 
1.5%
433 2
 
1.0%
5575 2
 
1.0%
3571 2
 
1.0%
031 2
 
1.0%
432 2
 
1.0%
435 2
 
1.0%
Other values (102) 108
53.2%
2024-05-11T14:26:15.718611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
17.7%
0 151
15.5%
2 143
14.6%
4 112
11.5%
3 86
8.8%
5 75
7.7%
1 55
 
5.6%
7 50
 
5.1%
9 48
 
4.9%
8 47
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 804
82.3%
Space Separator 173
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
18.8%
2 143
17.8%
4 112
13.9%
3 86
10.7%
5 75
9.3%
1 55
 
6.8%
7 50
 
6.2%
9 48
 
6.0%
8 47
 
5.8%
6 37
 
4.6%
Space Separator
ValueCountFrequency (%)
173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 977
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
173
17.7%
0 151
15.5%
2 143
14.6%
4 112
11.5%
3 86
8.8%
5 75
7.7%
1 55
 
5.6%
7 50
 
5.1%
9 48
 
4.9%
8 47
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
17.7%
0 151
15.5%
2 143
14.6%
4 112
11.5%
3 86
8.8%
5 75
7.7%
1 55
 
5.6%
7 50
 
5.1%
9 48
 
4.9%
8 47
 
4.8%

소재지면적
Text

MISSING 

Distinct97
Distinct (%)70.3%
Missing3
Missing (%)2.1%
Memory size1.2 KiB
2024-05-11T14:26:16.014338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1086957
Min length3

Characters and Unicode

Total characters705
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

Unique75 ?
Unique (%)54.3%

Sample

1st row33.00
2nd row253.01
3rd row19.83
4th row132.00
5th row.00
ValueCountFrequency (%)
30.00 8
 
5.8%
16.50 6
 
4.3%
33.00 4
 
2.9%
19.83 4
 
2.9%
26.40 3
 
2.2%
40.00 3
 
2.2%
24.00 3
 
2.2%
66.00 3
 
2.2%
16.52 3
 
2.2%
42.90 2
 
1.4%
Other values (87) 99
71.7%
2024-05-11T14:26:16.427744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 153
21.7%
. 138
19.6%
1 68
9.6%
2 59
 
8.4%
3 56
 
7.9%
6 49
 
7.0%
4 47
 
6.7%
5 43
 
6.1%
9 40
 
5.7%
8 29
 
4.1%
Other values (2) 23
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 566
80.3%
Other Punctuation 139
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 153
27.0%
1 68
12.0%
2 59
 
10.4%
3 56
 
9.9%
6 49
 
8.7%
4 47
 
8.3%
5 43
 
7.6%
9 40
 
7.1%
8 29
 
5.1%
7 22
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 138
99.3%
, 1
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 705
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 153
21.7%
. 138
19.6%
1 68
9.6%
2 59
 
8.4%
3 56
 
7.9%
6 49
 
7.0%
4 47
 
6.7%
5 43
 
6.1%
9 40
 
5.7%
8 29
 
4.1%
Other values (2) 23
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 153
21.7%
. 138
19.6%
1 68
9.6%
2 59
 
8.4%
3 56
 
7.9%
6 49
 
7.0%
4 47
 
6.7%
5 43
 
6.1%
9 40
 
5.7%
8 29
 
4.1%
Other values (2) 23
 
3.3%

소재지우편번호
Text

Distinct56
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:26:16.667455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0567376
Min length6

Characters and Unicode

Total characters854
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

Unique25 ?
Unique (%)17.7%

Sample

1st row131802
2nd row131865
3rd row131813
4th row131824
5th row131878
ValueCountFrequency (%)
131865 14
 
9.9%
131800 8
 
5.7%
131802 7
 
5.0%
131847 7
 
5.0%
131857 5
 
3.5%
131140 5
 
3.5%
131822 5
 
3.5%
131868 5
 
3.5%
131853 4
 
2.8%
131828 4
 
2.8%
Other values (46) 77
54.6%
2024-05-11T14:26:17.054540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 311
36.4%
8 158
18.5%
3 153
17.9%
0 45
 
5.3%
2 39
 
4.6%
6 38
 
4.4%
5 36
 
4.2%
7 31
 
3.6%
4 24
 
2.8%
9 11
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 846
99.1%
Dash Punctuation 8
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 311
36.8%
8 158
18.7%
3 153
18.1%
0 45
 
5.3%
2 39
 
4.6%
6 38
 
4.5%
5 36
 
4.3%
7 31
 
3.7%
4 24
 
2.8%
9 11
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 311
36.4%
8 158
18.5%
3 153
17.9%
0 45
 
5.3%
2 39
 
4.6%
6 38
 
4.4%
5 36
 
4.2%
7 31
 
3.6%
4 24
 
2.8%
9 11
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 311
36.4%
8 158
18.5%
3 153
17.9%
0 45
 
5.3%
2 39
 
4.6%
6 38
 
4.4%
5 36
 
4.2%
7 31
 
3.6%
4 24
 
2.8%
9 11
 
1.3%

지번주소
Text

Distinct116
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:26:17.449663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length22.120567
Min length18

Characters and Unicode

Total characters3119
Distinct characters72
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)68.1%

Sample

1st row서울특별시 중랑구 망우동 209-1 아우주택
2nd row서울특별시 중랑구 신내동 279-3
3rd row서울특별시 중랑구 면목동 455-3
4th row서울특별시 중랑구 면목동 193-50
5th row서울특별시 중랑구 중화동 324-131
ValueCountFrequency (%)
서울특별시 141
22.7%
중랑구 141
22.7%
신내동 31
 
5.0%
망우동 29
 
4.7%
면목동 29
 
4.7%
묵동 24
 
3.9%
상봉동 18
 
2.9%
중화동 10
 
1.6%
지상1층 10
 
1.6%
1층 7
 
1.1%
Other values (142) 180
29.0%
2024-05-11T14:26:17.886404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
19.3%
중 151
 
4.8%
동 144
 
4.6%
1 144
 
4.6%
시 142
 
4.6%
랑 142
 
4.6%
구 142
 
4.6%
서 141
 
4.5%
특 141
 
4.5%
별 141
 
4.5%
Other values (62) 1228
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1698
54.4%
Decimal Number 684
21.9%
Space Separator 603
 
19.3%
Dash Punctuation 130
 
4.2%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 151
8.9%
동 144
 
8.5%
시 142
 
8.4%
랑 142
 
8.4%
구 142
 
8.4%
서 141
 
8.3%
특 141
 
8.3%
별 141
 
8.3%
울 141
 
8.3%
상 41
 
2.4%
Other values (48) 372
21.9%
Decimal Number
ValueCountFrequency (%)
1 144
21.1%
3 90
13.2%
2 87
12.7%
4 82
12.0%
5 60
8.8%
0 59
8.6%
7 51
 
7.5%
6 50
 
7.3%
9 38
 
5.6%
8 23
 
3.4%
Space Separator
ValueCountFrequency (%)
603
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1698
54.4%
Common 1420
45.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 151
8.9%
동 144
 
8.5%
시 142
 
8.4%
랑 142
 
8.4%
구 142
 
8.4%
서 141
 
8.3%
특 141
 
8.3%
별 141
 
8.3%
울 141
 
8.3%
상 41
 
2.4%
Other values (48) 372
21.9%
Common
ValueCountFrequency (%)
603
42.5%
1 144
 
10.1%
- 130
 
9.2%
3 90
 
6.3%
2 87
 
6.1%
4 82
 
5.8%
5 60
 
4.2%
0 59
 
4.2%
7 51
 
3.6%
6 50
 
3.5%
Other values (3) 64
 
4.5%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1698
54.4%
ASCII 1421
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
603
42.4%
1 144
 
10.1%
- 130
 
9.1%
3 90
 
6.3%
2 87
 
6.1%
4 82
 
5.8%
5 60
 
4.2%
0 59
 
4.2%
7 51
 
3.6%
6 50
 
3.5%
Other values (4) 65
 
4.6%
Hangul
ValueCountFrequency (%)
중 151
8.9%
동 144
 
8.5%
시 142
 
8.4%
랑 142
 
8.4%
구 142
 
8.4%
서 141
 
8.3%
특 141
 
8.3%
별 141
 
8.3%
울 141
 
8.3%
상 41
 
2.4%
Other values (48) 372
21.9%

도로명주소
Text

MISSING 

Distinct118
Distinct (%)94.4%
Missing16
Missing (%)11.3%
Memory size1.2 KiB
2024-05-11T14:26:18.185300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length30.592
Min length21

Characters and Unicode

Total characters3824
Distinct characters98
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

Unique111 ?
Unique (%)88.8%

Sample

1st row서울특별시 중랑구 용마산로118길 72, 아우주택 1층 (망우동)
2nd row서울특별시 중랑구 용마산로139다길 38 (신내동)
3rd row서울특별시 중랑구 면목로44다길 49 (면목동)
4th row서울특별시 중랑구 사가정로50길 30 (면목동)
5th row서울특별시 중랑구 중랑천로 78 (상봉동)
ValueCountFrequency (%)
서울특별시 125
 
16.4%
중랑구 125
 
16.4%
1층 53
 
7.0%
신내동 29
 
3.8%
망우동 27
 
3.6%
면목동 24
 
3.2%
묵동 21
 
2.8%
상봉동 16
 
2.1%
중화동 8
 
1.1%
공릉로12가길 7
 
0.9%
Other values (195) 325
42.8%
2024-05-11T14:26:18.588995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
635
 
16.6%
1 202
 
5.3%
동 148
 
3.9%
중 144
 
3.8%
랑 133
 
3.5%
시 126
 
3.3%
구 126
 
3.3%
울 125
 
3.3%
) 125
 
3.3%
( 125
 
3.3%
Other values (88) 1935
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2180
57.0%
Space Separator 635
 
16.6%
Decimal Number 632
 
16.5%
Close Punctuation 125
 
3.3%
Open Punctuation 125
 
3.3%
Other Punctuation 108
 
2.8%
Dash Punctuation 14
 
0.4%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 148
 
6.8%
중 144
 
6.6%
랑 133
 
6.1%
시 126
 
5.8%
구 126
 
5.8%
울 125
 
5.7%
서 125
 
5.7%
특 125
 
5.7%
별 125
 
5.7%
로 123
 
5.6%
Other values (69) 880
40.4%
Decimal Number
ValueCountFrequency (%)
1 202
32.0%
2 70
 
11.1%
3 53
 
8.4%
5 51
 
8.1%
4 51
 
8.1%
6 50
 
7.9%
0 49
 
7.8%
9 44
 
7.0%
7 36
 
5.7%
8 26
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
S 1
20.0%
D 1
20.0%
O 1
20.0%
Space Separator
ValueCountFrequency (%)
635
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2180
57.0%
Common 1639
42.9%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 148
 
6.8%
중 144
 
6.6%
랑 133
 
6.1%
시 126
 
5.8%
구 126
 
5.8%
울 125
 
5.7%
서 125
 
5.7%
특 125
 
5.7%
별 125
 
5.7%
로 123
 
5.6%
Other values (69) 880
40.4%
Common
ValueCountFrequency (%)
635
38.7%
1 202
 
12.3%
) 125
 
7.6%
( 125
 
7.6%
, 108
 
6.6%
2 70
 
4.3%
3 53
 
3.2%
5 51
 
3.1%
4 51
 
3.1%
6 50
 
3.1%
Other values (5) 169
 
10.3%
Latin
ValueCountFrequency (%)
B 2
40.0%
S 1
20.0%
D 1
20.0%
O 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2180
57.0%
ASCII 1644
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
635
38.6%
1 202
 
12.3%
) 125
 
7.6%
( 125
 
7.6%
, 108
 
6.6%
2 70
 
4.3%
3 53
 
3.2%
5 51
 
3.1%
4 51
 
3.1%
6 50
 
3.0%
Other values (9) 174
 
10.6%
Hangul
ValueCountFrequency (%)
동 148
 
6.8%
중 144
 
6.6%
랑 133
 
6.1%
시 126
 
5.8%
구 126
 
5.8%
울 125
 
5.7%
서 125
 
5.7%
특 125
 
5.7%
별 125
 
5.7%
로 123
 
5.6%
Other values (69) 880
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)59.0%
Missing19
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean2103.918
Minimum2004
Maximum2258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:26:18.764468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile2015.05
Q12052
median2069
Q32175.25
95-th percentile2237
Maximum2258
Range254
Interquartile range (IQR)123.25

Descriptive statistics

Standard deviation75.193809
Coefficient of variation (CV)0.035739895
Kurtosis-1.0133128
Mean2103.918
Median Absolute Deviation (MAD)43.5
Skewness0.60864561
Sum256678
Variance5654.1089
MonotonicityNot monotonic
2024-05-11T14:26:18.903875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2052 8
 
5.7%
2030 6
 
4.3%
2057 6
 
4.3%
2018 5
 
3.5%
2058 4
 
2.8%
2086 4
 
2.8%
2176 4
 
2.8%
2233 4
 
2.8%
2154 3
 
2.1%
2069 3
 
2.1%
Other values (62) 75
53.2%
(Missing) 19
 
13.5%
ValueCountFrequency (%)
2004 1
 
0.7%
2008 1
 
0.7%
2010 1
 
0.7%
2012 1
 
0.7%
2013 1
 
0.7%
2015 2
 
1.4%
2016 1
 
0.7%
2018 5
3.5%
2019 1
 
0.7%
2024 1
 
0.7%
ValueCountFrequency (%)
2258 1
 
0.7%
2256 1
 
0.7%
2252 2
1.4%
2249 1
 
0.7%
2241 1
 
0.7%
2237 2
1.4%
2233 4
2.8%
2220 2
1.4%
2219 1
 
0.7%
2216 1
 
0.7%

사업장명
Text

Distinct134
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:26:19.142967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length6.893617
Min length2

Characters and Unicode

Total characters972
Distinct characters223
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

Unique127 ?
Unique (%)90.1%

Sample

1st row삼성유기급식사업단 영농조합법인
2nd row한울꼬마김치
3rd row동우수산유통
4th row보령종합유통
5th row푸드채널
ValueCountFrequency (%)
주식회사 15
 
8.7%
농업회사법인 3
 
1.7%
삼성유기급식사업단 2
 
1.2%
대한푸드 2
 
1.2%
영농조합법인 2
 
1.2%
푸드매니아 2
 
1.2%
food 2
 
1.2%
부흥유통 2
 
1.2%
햇살 2
 
1.2%
하늘마루 2
 
1.2%
Other values (138) 139
80.3%
2024-05-11T14:26:19.538235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 46
 
4.7%
드 36
 
3.7%
식 32
 
3.3%
32
 
3.3%
) 32
 
3.3%
( 31
 
3.2%
푸 31
 
3.2%
사 30
 
3.1%
유 21
 
2.2%
회 21
 
2.2%
Other values (213) 660
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
86.3%
Space Separator 32
 
3.3%
Close Punctuation 32
 
3.3%
Open Punctuation 31
 
3.2%
Uppercase Letter 24
 
2.5%
Decimal Number 7
 
0.7%
Other Punctuation 6
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 46
 
5.5%
드 36
 
4.3%
식 32
 
3.8%
푸 31
 
3.7%
사 30
 
3.6%
유 21
 
2.5%
회 21
 
2.5%
농 18
 
2.1%
산 17
 
2.0%
이 17
 
2.0%
Other values (192) 570
67.9%
Uppercase Letter
ValueCountFrequency (%)
F 4
16.7%
O 4
16.7%
H 3
12.5%
D 3
12.5%
S 2
8.3%
B 2
8.3%
M 1
 
4.2%
K 1
 
4.2%
T 1
 
4.2%
L 1
 
4.2%
Other values (2) 2
8.3%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
6 3
42.9%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
86.3%
Common 109
 
11.2%
Latin 24
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 46
 
5.5%
드 36
 
4.3%
식 32
 
3.8%
푸 31
 
3.7%
사 30
 
3.6%
유 21
 
2.5%
회 21
 
2.5%
농 18
 
2.1%
산 17
 
2.0%
이 17
 
2.0%
Other values (192) 570
67.9%
Latin
ValueCountFrequency (%)
F 4
16.7%
O 4
16.7%
H 3
12.5%
D 3
12.5%
S 2
8.3%
B 2
8.3%
M 1
 
4.2%
K 1
 
4.2%
T 1
 
4.2%
L 1
 
4.2%
Other values (2) 2
8.3%
Common
ValueCountFrequency (%)
32
29.4%
) 32
29.4%
( 31
28.4%
& 4
 
3.7%
3 3
 
2.8%
6 3
 
2.8%
. 2
 
1.8%
- 1
 
0.9%
5 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
86.3%
ASCII 133
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 46
 
5.5%
드 36
 
4.3%
식 32
 
3.8%
푸 31
 
3.7%
사 30
 
3.6%
유 21
 
2.5%
회 21
 
2.5%
농 18
 
2.1%
산 17
 
2.0%
이 17
 
2.0%
Other values (192) 570
67.9%
ASCII
ValueCountFrequency (%)
32
24.1%
) 32
24.1%
( 31
23.3%
F 4
 
3.0%
O 4
 
3.0%
& 4
 
3.0%
H 3
 
2.3%
3 3
 
2.3%
6 3
 
2.3%
D 3
 
2.3%
Other values (11) 14
10.5%

최종수정일자
Date

UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2008-03-26 15:26:34
Maximum2024-04-26 09:57:57
2024-05-11T14:26:19.676783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:19.822430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
106 
U
35 

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 106
75.2%
U 35
 
24.8%

Length

2024-05-11T14:26:19.936679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:20.022818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 106
75.2%
u 35
 
24.8%

데이터갱신일자
Date

Distinct54
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:08:00
2024-05-11T14:26:20.134399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:20.272495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
집단급식소 식품판매업
141 

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 141
100.0%

Length

2024-05-11T14:26:20.411880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:20.494084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 141
50.0%
식품판매업 141
50.0%

좌표정보(X)
Real number (ℝ)

Distinct108
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207935.7
Minimum206259.15
Maximum209537.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:26:20.590287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206259.15
5-th percentile206472.22
Q1207033.98
median207906.21
Q3208865.63
95-th percentile209303.03
Maximum209537.11
Range3277.9562
Interquartile range (IQR)1831.6488

Descriptive statistics

Standard deviation961.46959
Coefficient of variation (CV)0.0046238794
Kurtosis-1.3558834
Mean207935.7
Median Absolute Deviation (MAD)936.50016
Skewness-0.10742666
Sum29318933
Variance924423.78
MonotonicityNot monotonic
2024-05-11T14:26:20.712005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207247.771994435 6
 
4.3%
208842.713556665 4
 
2.8%
208889.864990793 4
 
2.8%
208448.541785739 3
 
2.1%
208317.462862439 3
 
2.1%
207590.031147049 3
 
2.1%
208952.573422837 3
 
2.1%
206719.70562841 2
 
1.4%
206895.589906089 2
 
1.4%
206472.224945227 2
 
1.4%
Other values (98) 109
77.3%
ValueCountFrequency (%)
206259.152361542 1
0.7%
206266.603701754 1
0.7%
206315.621494545 2
1.4%
206394.635427781 1
0.7%
206406.000530975 1
0.7%
206451.238201535 1
0.7%
206472.224945227 2
1.4%
206510.087449702 1
0.7%
206521.292706501 1
0.7%
206587.637574602 2
1.4%
ValueCountFrequency (%)
209537.108569721 1
0.7%
209438.885311392 1
0.7%
209365.564242667 1
0.7%
209346.050897608 1
0.7%
209344.295673948 2
1.4%
209310.020487389 1
0.7%
209303.026867913 1
0.7%
209283.489988047 1
0.7%
209274.893741346 1
0.7%
209270.871452336 2
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct108
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455439.4
Minimum452075.95
Maximum457428.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:26:20.843270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452075.95
5-th percentile453050.03
Q1454529.77
median455524.45
Q3456457.08
95-th percentile457282.57
Maximum457428.66
Range5352.7147
Interquartile range (IQR)1927.3044

Descriptive statistics

Standard deviation1325.5391
Coefficient of variation (CV)0.0029104622
Kurtosis-0.74307255
Mean455439.4
Median Absolute Deviation (MAD)965.39341
Skewness-0.33519512
Sum64216955
Variance1757054
MonotonicityNot monotonic
2024-05-11T14:26:21.005513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457282.566032636 6
 
4.3%
455205.504339797 4
 
2.8%
455878.542779459 4
 
2.8%
455788.673981353 3
 
2.1%
455283.725180609 3
 
2.1%
454599.632823069 3
 
2.1%
457345.712721801 3
 
2.1%
453614.377409231 2
 
1.4%
457251.238972021 2
 
1.4%
455824.577720572 2
 
1.4%
Other values (98) 109
77.3%
ValueCountFrequency (%)
452075.948613979 1
0.7%
452666.306495265 1
0.7%
452697.758147677 1
0.7%
452897.895847823 2
1.4%
453016.921015004 1
0.7%
453042.673964201 1
0.7%
453050.025736831 1
0.7%
453068.565012116 1
0.7%
453206.128797191 1
0.7%
453228.74987746 1
0.7%
ValueCountFrequency (%)
457428.663314438 2
 
1.4%
457345.712721801 3
2.1%
457300.590845829 1
 
0.7%
457283.215342184 1
 
0.7%
457282.566032636 6
4.3%
457251.238972021 2
 
1.4%
457240.390322006 1
 
0.7%
457236.317706626 2
 
1.4%
457183.637796144 1
 
0.7%
457183.395438418 1
 
0.7%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
집단급식소 식품판매업
127 
<NA>
14 

Length

Max length11
Median length11
Mean length10.304965
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 127
90.1%
<NA> 14
 
9.9%

Length

2024-05-11T14:26:21.149596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:21.265259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 127
47.4%
식품판매업 127
47.4%
na 14
 
5.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
8

Length

Max length4
Median length4
Mean length3.8297872
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> 133
94.3%
0 8
 
5.7%

Length

2024-05-11T14:26:21.366118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:21.462932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
94.3%
0 8
 
5.7%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
8

Length

Max length4
Median length4
Mean length3.8297872
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> 133
94.3%
0 8
 
5.7%

Length

2024-05-11T14:26:21.556592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:21.642808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
94.3%
0 8
 
5.7%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
121 
상수도전용
20 

Length

Max length5
Median length4
Mean length4.141844
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 121
85.8%
상수도전용 20
 
14.2%

Length

2024-05-11T14:26:21.749380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:21.859013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
85.8%
상수도전용 20
 
14.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
0
 
8

Length

Max length4
Median length4
Mean length3.8297872
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> 133
94.3%
0 8
 
5.7%

Length

2024-05-11T14:26:21.957324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:22.055599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
94.3%
0 8
 
5.7%

본사종업원수
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
77 
0
63 
4
 
1

Length

Max length4
Median length4
Mean length2.6382979
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
54.6%
0 63
44.7%
4 1
 
0.7%

Length

2024-05-11T14:26:22.164126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:22.251134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
54.6%
0 63
44.7%
4 1
 
0.7%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
77 
0
64 

Length

Max length4
Median length4
Mean length2.6382979
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
54.6%
0 64
45.4%

Length

2024-05-11T14:26:22.348170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:22.448839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
54.6%
0 64
45.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
77 
0
64 

Length

Max length4
Median length4
Mean length2.6382979
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
54.6%
0 64
45.4%

Length

2024-05-11T14:26:22.554852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:22.658887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
54.6%
0 64
45.4%

공장생산직종업원수
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
77 
0
59 
1
 
3
12
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.6453901
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
54.6%
0 59
41.8%
1 3
 
2.1%
12 1
 
0.7%
3 1
 
0.7%

Length

2024-05-11T14:26:22.970391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:23.089638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
54.6%
0 59
41.8%
1 3
 
2.1%
12 1
 
0.7%
3 1
 
0.7%

건물소유구분명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
71 
자가
36 
임대
34 

Length

Max length4
Median length4
Mean length3.0070922
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
50.4%
자가 36
25.5%
임대 34
24.1%

Length

2024-05-11T14:26:23.222636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:23.337807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
50.4%
자가 36
25.5%
임대 34
24.1%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
8
30000000
 
1

Length

Max length8
Median length4
Mean length3.858156
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
93.6%
0 8
 
5.7%
30000000 1
 
0.7%

Length

2024-05-11T14:26:23.473994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:23.579885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
93.6%
0 8
 
5.7%
30000000 1
 
0.7%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
8
2000000
 
1

Length

Max length7
Median length4
Mean length3.8510638
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
93.6%
0 8
 
5.7%
2000000 1
 
0.7%

Length

2024-05-11T14:26:23.687882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:23.784031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
93.6%
0 8
 
5.7%
2000000 1
 
0.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.8%
Missing14
Missing (%)9.9%
Memory size414.0 B
False
127 
(Missing)
14 
ValueCountFrequency (%)
False 127
90.1%
(Missing) 14
 
9.9%
2024-05-11T14:26:23.873534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)33.9%
Missing14
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean23.274488
Minimum0
Maximum471.84
Zeros75
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T14:26:23.983740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile99.464
Maximum471.84
Range471.84
Interquartile range (IQR)30

Descriptive statistics

Standard deviation52.380736
Coefficient of variation (CV)2.2505645
Kurtosis43.14324
Mean23.274488
Median Absolute Deviation (MAD)0
Skewness5.6071504
Sum2955.86
Variance2743.7415
MonotonicityNot monotonic
2024-05-11T14:26:24.140135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 75
53.2%
30.0 4
 
2.8%
90.21 2
 
1.4%
19.0 2
 
1.4%
24.0 2
 
1.4%
33.75 2
 
1.4%
40.0 2
 
1.4%
26.4 2
 
1.4%
45.0 2
 
1.4%
70.0 1
 
0.7%
Other values (33) 33
23.4%
(Missing) 14
 
9.9%
ValueCountFrequency (%)
0.0 75
53.2%
3.3 1
 
0.7%
9.6 1
 
0.7%
13.2 1
 
0.7%
16.5 1
 
0.7%
16.53 1
 
0.7%
18.12 1
 
0.7%
18.72 1
 
0.7%
19.0 2
 
1.4%
19.8 1
 
0.7%
ValueCountFrequency (%)
471.84 1
0.7%
186.1 1
0.7%
136.18 1
0.7%
130.2 1
0.7%
127.0 1
0.7%
114.83 1
0.7%
103.43 1
0.7%
90.21 2
1.4%
74.52 1
0.7%
70.0 1
0.7%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing141
Missing (%)100.0%
Memory size1.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030600003060000-122-2008-0000120080314<NA>1영업/정상1영업<NA><NA><NA><NA>02 435 980033.00131802서울특별시 중랑구 망우동 209-1 아우주택서울특별시 중랑구 용마산로118길 72, 아우주택 1층 (망우동)2066삼성유기급식사업단 영농조합법인2018-06-04 15:37:08I2018-08-31 23:59:59.0집단급식소 식품판매업209159.891223455418.939711집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
130600003060000-122-2008-0000220080318<NA>1영업/정상1영업<NA><NA><NA><NA>02 433 4755253.01131865서울특별시 중랑구 신내동 279-3서울특별시 중랑구 용마산로139다길 38 (신내동)2052한울꼬마김치2016-12-29 11:52:27I2018-08-31 23:59:59.0집단급식소 식품판매업208952.573423457345.712722집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230600003060000-122-2008-0000320080318<NA>1영업/정상1영업<NA><NA><NA><NA>02 2207329819.83131813서울특별시 중랑구 면목동 455-3서울특별시 중랑구 면목로44다길 49 (면목동)2210동우수산유통2015-05-19 13:44:14I2018-08-31 23:59:59.0집단급식소 식품판매업207971.234962453445.665705집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
330600003060000-122-2008-0000420080319<NA>3폐업2폐업20110127<NA><NA><NA>02 437 2142132.00131824서울특별시 중랑구 면목동 193-50<NA><NA>보령종합유통2011-01-27 17:06:07I2018-08-31 23:59:59.0집단급식소 식품판매업206669.593466453751.57761집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
430600003060000-122-2008-0000520080326<NA>3폐업2폐업20101213<NA><NA><NA>02 495 7599.00131878서울특별시 중랑구 중화동 324-131<NA><NA>푸드채널2008-03-26 15:26:34I2018-08-31 23:59:59.0집단급식소 식품판매업206259.152362454825.847753집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
530600003060000-122-2008-0000620080328<NA>3폐업2폐업20090803<NA><NA><NA>02 434 0065898.00131861서울특별시 중랑구 상봉동 479-2<NA><NA>주식회사 동남푸드2008-03-28 14:59:53I2018-08-31 23:59:59.0집단급식소 식품판매업206266.603702454369.937286집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
630600003060000-122-2008-0000720080331<NA>3폐업2폐업20090119<NA><NA><NA>02 439 772149.58131803서울특별시 중랑구 망우동 343-24<NA><NA>서울동부하림2008-03-31 14:40:52I2018-08-31 23:59:59.0집단급식소 식품판매업208980.062798455523.133153집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
730600003060000-122-2008-0000820080526<NA>3폐업2폐업20100322<NA><NA><NA>02 434 1141<NA>131853서울특별시 중랑구 묵동 249-57<NA><NA>대상H&B2008-05-26 15:08:27I2018-08-31 23:59:59.0집단급식소 식품판매업206587.637575455997.311128집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830600003060000-122-2008-0000920080630<NA>3폐업2폐업20120604<NA><NA><NA>02 494 051730.00131827서울특별시 중랑구 면목동 651-9서울특별시 중랑구 사가정로50길 30 (면목동)2237이천일미농산2011-11-23 10:38:18I2018-08-31 23:59:59.0집단급식소 식품판매업207518.303074453042.673964집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0001자가<NA><NA>N0.0<NA><NA><NA>
930600003060000-122-2008-0001020080702<NA>3폐업2폐업20100720<NA><NA><NA>02 22081473.00131857서울특별시 중랑구 상봉동 49-3<NA><NA>푸드넷2008-07-02 13:53:35I2018-08-31 23:59:59.0집단급식소 식품판매업208358.798924455314.083842집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
13130600003060000-122-2022-0000220220207<NA>3폐업2폐업20220224<NA><NA><NA><NA>19.00131828서울특별시 중랑구 면목동 622-9서울특별시 중랑구 면목로40길 36, 1층 (면목동)2252하늘마루2022-02-24 10:06:20U2022-02-26 02:40:00.0집단급식소 식품판매업207769.095617452897.895848집단급식소 식품판매업00<NA><NA><NA>00000자가00N19.0<NA><NA><NA>
13230600003060000-122-2022-0000320220222<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.30131853서울특별시 중랑구 묵동 245-6서울특별시 중랑구 동일로 859, 가동 2층 D-203호 (묵동)2010케이푸드(K FOOD)2022-02-22 17:05:13I2022-02-24 00:22:37.0집단급식소 식품판매업206821.108968456096.359567집단급식소 식품판매업00<NA><NA><NA>00000자가00N3.3<NA><NA><NA>
13330600003060000-122-2022-0000420220711<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.57131851서울특별시 중랑구 묵동 236-12서울특별시 중랑구 봉화산로3길 241, 1층 (묵동)2004드림키즈2022-07-11 16:29:10I2021-12-06 23:03:00.0집단급식소 식품판매업206451.238202456674.118102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13430600003060000-122-2023-0000120230112<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.39131806서울특별시 중랑구 망우동 444-21서울특별시 중랑구 용마산로100길 7-5, 1층 가운데호 (망우동)2184행복농산2023-01-12 15:03:04I2022-11-30 23:04:00.0집단급식소 식품판매업208652.275466454385.14637<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13530600003060000-122-2023-000022023-03-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.10131-819서울특별시 중랑구 면목동 140-43서울특별시 중랑구 겸재로15길 50, 1층 (면목동)2147도원유통2023-03-23 15:59:46I2022-12-02 22:05:00.0집단급식소 식품판매업207179.699033454027.528748<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13630600003060000-122-2023-000032023-06-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>39.60131-878서울특별시 중랑구 중화동 326-169서울특별시 중랑구 중랑천로20길 35, 1층 (중화동)2113사계절김치2023-06-02 11:41:32I2022-12-06 00:04:00.0집단급식소 식품판매업206406.000531454994.498191<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13730600003060000-122-2023-000042023-10-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.36131-802서울특별시 중랑구 망우동 152-31서울특별시 중랑구 망우로74길 37, 1층 2호 (망우동)2179키움에프에스2023-10-27 10:02:02I2022-10-30 22:09:00.0집단급식소 식품판매업209131.369547455161.96811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13830600003060000-122-2023-000052023-11-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.00131-862서울특별시 중랑구 상봉동 314-7서울특별시 중랑구 동일로126나길 11, 1층 (상봉동)2096주식회사 영우에프디2023-11-16 14:35:37I2022-10-31 23:08:00.0집단급식소 식품판매업207424.459156455110.659507<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13930600003060000-122-2024-000012024-01-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.00131-804서울특별시 중랑구 망우동 353-21 1층 101호서울특별시 중랑구 송림길 76, 1층 101호 (망우동)2059해솔유통2024-01-17 14:06:26I2023-11-30 23:09:00.0집단급식소 식품판매업208891.219127455625.246594<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14030600003060000-122-2024-000022024-01-19<NA>1영업/정상1영업<NA><NA><NA><NA>033 732 862416.52131-807서울특별시 중랑구 망우동 479 한일써너스빌리젠시1단지 제2층 S1217호서울특별시 중랑구 용마산로115길 127, 제2층 S1217호 (망우동, 한일써너스빌리젠시1단지)2163주식회사 데어리젠2024-04-26 09:57:57I2023-12-03 22:08:00.0집단급식소 식품판매업208185.587866455005.951408<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>