Overview

Dataset statistics

Number of variables44
Number of observations41
Missing cells412
Missing cells (%)22.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory381.2 B

Variable types

Categorical21
Text6
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-18035/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (62.2%)Imbalance
여성종사자수 is highly imbalanced (62.2%)Imbalance
급수시설구분명 is highly imbalanced (62.2%)Imbalance
총인원 is highly imbalanced (62.2%)Imbalance
보증액 is highly imbalanced (62.2%)Imbalance
월세액 is highly imbalanced (62.2%)Imbalance
인허가취소일자 has 41 (100.0%) missing valuesMissing
폐업일자 has 11 (26.8%) missing valuesMissing
휴업시작일자 has 41 (100.0%) missing valuesMissing
휴업종료일자 has 41 (100.0%) missing valuesMissing
재개업일자 has 41 (100.0%) missing valuesMissing
전화번호 has 14 (34.1%) missing valuesMissing
소재지면적 has 3 (7.3%) missing valuesMissing
도로명주소 has 3 (7.3%) missing valuesMissing
도로명우편번호 has 5 (12.2%) missing valuesMissing
영업장주변구분명 has 41 (100.0%) missing valuesMissing
등급구분명 has 41 (100.0%) missing valuesMissing
다중이용업소여부 has 7 (17.1%) missing valuesMissing
전통업소지정번호 has 41 (100.0%) missing valuesMissing
전통업소주된음식 has 41 (100.0%) missing valuesMissing
홈페이지 has 41 (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

Reproduction

Analysis started2024-04-29 19:34:03.523968
Analysis finished2024-04-29 19:34:04.253540
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
3080000
41 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 41
100.0%

Length

2024-04-30T04:34:04.314000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:04.406550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 41
100.0%

관리번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-30T04:34:04.567217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters902
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

Unique41 ?
Unique (%)100.0%

Sample

1st row3080000-122-2008-00001
2nd row3080000-122-2008-00002
3rd row3080000-122-2008-00003
4th row3080000-122-2008-00004
5th row3080000-122-2008-00005
ValueCountFrequency (%)
3080000-122-2008-00001 1
 
2.4%
3080000-122-2012-00005 1
 
2.4%
3080000-122-2013-00001 1
 
2.4%
3080000-122-2014-00001 1
 
2.4%
3080000-122-2014-00002 1
 
2.4%
3080000-122-2014-00003 1
 
2.4%
3080000-122-2014-00004 1
 
2.4%
3080000-122-2015-00001 1
 
2.4%
3080000-122-2015-00002 1
 
2.4%
3080000-122-2016-00001 1
 
2.4%
Other values (31) 31
75.6%
2024-04-30T04:34:04.833946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 421
46.7%
2 145
 
16.1%
- 123
 
13.6%
1 89
 
9.9%
3 50
 
5.5%
8 50
 
5.5%
4 9
 
1.0%
5 5
 
0.6%
6 5
 
0.6%
9 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 779
86.4%
Dash Punctuation 123
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 421
54.0%
2 145
 
18.6%
1 89
 
11.4%
3 50
 
6.4%
8 50
 
6.4%
4 9
 
1.2%
5 5
 
0.6%
6 5
 
0.6%
9 3
 
0.4%
7 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 421
46.7%
2 145
 
16.1%
- 123
 
13.6%
1 89
 
9.9%
3 50
 
5.5%
8 50
 
5.5%
4 9
 
1.0%
5 5
 
0.6%
6 5
 
0.6%
9 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 421
46.7%
2 145
 
16.1%
- 123
 
13.6%
1 89
 
9.9%
3 50
 
5.5%
8 50
 
5.5%
4 9
 
1.0%
5 5
 
0.6%
6 5
 
0.6%
9 3
 
0.3%

인허가일자
Date

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2008-03-18 00:00:00
Maximum2024-01-26 00:00:00
2024-04-30T04:34:04.960529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:05.069868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
3
30 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 30
73.2%
1 11
 
26.8%

Length

2024-04-30T04:34:05.166326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:05.248450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 30
73.2%
1 11
 
26.8%

영업상태명
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
폐업
30 
영업/정상
11 

Length

Max length5
Median length2
Mean length2.804878
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 30
73.2%
영업/정상 11
 
26.8%

Length

2024-04-30T04:34:05.348655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:05.443914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
73.2%
영업/정상 11
 
26.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
2
30 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 30
73.2%
1 11
 
26.8%

Length

2024-04-30T04:34:05.541076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:05.637239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 30
73.2%
1 11
 
26.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
폐업
30 
영업
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 30
73.2%
영업 11
 
26.8%

Length

2024-04-30T04:34:05.727167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:05.814878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 30
73.2%
영업 11
 
26.8%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)80.0%
Missing11
Missing (%)26.8%
Memory size460.0 B
Minimum2010-06-01 00:00:00
Maximum2023-09-07 00:00:00
2024-04-30T04:34:05.906730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:05.995521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing14
Missing (%)34.1%
Memory size460.0 B
2024-04-30T04:34:06.150495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.814815
Min length10

Characters and Unicode

Total characters319
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

Unique27 ?
Unique (%)100.0%

Sample

1st row02 09056152
2nd row02 988 7156
3rd row02 981 5770
4th row02 988 3290
5th row02905 6163
ValueCountFrequency (%)
02 22
31.0%
070 3
 
4.2%
988 3
 
4.2%
981 2
 
2.8%
997 2
 
2.8%
9595 2
 
2.8%
999 2
 
2.8%
8022 1
 
1.4%
980 1
 
1.4%
3210 1
 
1.4%
Other values (32) 32
45.1%
2024-04-30T04:34:06.456481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
21.0%
0 51
16.0%
9 36
11.3%
2 35
11.0%
5 33
10.3%
7 21
 
6.6%
6 20
 
6.3%
8 18
 
5.6%
3 16
 
5.0%
1 15
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
79.0%
Space Separator 67
 
21.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
20.2%
9 36
14.3%
2 35
13.9%
5 33
13.1%
7 21
8.3%
6 20
 
7.9%
8 18
 
7.1%
3 16
 
6.3%
1 15
 
6.0%
4 7
 
2.8%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
67
21.0%
0 51
16.0%
9 36
11.3%
2 35
11.0%
5 33
10.3%
7 21
 
6.6%
6 20
 
6.3%
8 18
 
5.6%
3 16
 
5.0%
1 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
21.0%
0 51
16.0%
9 36
11.3%
2 35
11.0%
5 33
10.3%
7 21
 
6.6%
6 20
 
6.3%
8 18
 
5.6%
3 16
 
5.0%
1 15
 
4.7%

소재지면적
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing3
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean64.096842
Minimum8.74
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:34:06.595898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.74
5-th percentile9.85
Q123.025
median35.675
Q379.155
95-th percentile198
Maximum230
Range221.26
Interquartile range (IQR)56.13

Descriptive statistics

Standard deviation60.765958
Coefficient of variation (CV)0.94803357
Kurtosis1.0258482
Mean64.096842
Median Absolute Deviation (MAD)18.425
Skewness1.4539125
Sum2435.68
Variance3692.5016
MonotonicityNot monotonic
2024-04-30T04:34:06.696147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
33.0 3
 
7.3%
23.0 2
 
4.9%
16.5 2
 
4.9%
198.0 2
 
4.9%
35.35 1
 
2.4%
36.5 1
 
2.4%
79.94 1
 
2.4%
37.0 1
 
2.4%
50.68 1
 
2.4%
90.0 1
 
2.4%
Other values (23) 23
56.1%
(Missing) 3
 
7.3%
ValueCountFrequency (%)
8.74 1
2.4%
9.0 1
2.4%
10.0 1
2.4%
16.5 2
4.9%
18.0 1
2.4%
20.0 1
2.4%
22.3 1
2.4%
23.0 2
4.9%
23.1 1
2.4%
26.0 1
2.4%
ValueCountFrequency (%)
230.0 1
2.4%
198.0 2
4.9%
173.8 1
2.4%
167.27 1
2.4%
165.0 1
2.4%
110.08 1
2.4%
98.44 1
2.4%
90.0 1
2.4%
79.94 1
2.4%
76.8 1
2.4%

소재지우편번호
Text

Distinct27
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-30T04:34:06.849428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.097561
Min length6

Characters and Unicode

Total characters250
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

Unique16 ?
Unique (%)39.0%

Sample

1st row142892
2nd row142860
3rd row142860
4th row142861
5th row142874
ValueCountFrequency (%)
142877 4
 
9.8%
142861 3
 
7.3%
142070 2
 
4.9%
142892 2
 
4.9%
142860 2
 
4.9%
142866 2
 
4.9%
142883 2
 
4.9%
142060 2
 
4.9%
142879 2
 
4.9%
142874 2
 
4.9%
Other values (17) 18
43.9%
2024-04-30T04:34:07.103288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 52
20.8%
4 47
18.8%
2 45
18.0%
8 41
16.4%
7 22
8.8%
6 14
 
5.6%
0 14
 
5.6%
9 6
 
2.4%
3 4
 
1.6%
- 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 246
98.4%
Dash Punctuation 4
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 52
21.1%
4 47
19.1%
2 45
18.3%
8 41
16.7%
7 22
8.9%
6 14
 
5.7%
0 14
 
5.7%
9 6
 
2.4%
3 4
 
1.6%
5 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 52
20.8%
4 47
18.8%
2 45
18.0%
8 41
16.4%
7 22
8.8%
6 14
 
5.6%
0 14
 
5.6%
9 6
 
2.4%
3 4
 
1.6%
- 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 52
20.8%
4 47
18.8%
2 45
18.0%
8 41
16.4%
7 22
8.8%
6 14
 
5.6%
0 14
 
5.6%
9 6
 
2.4%
3 4
 
1.6%
- 4
 
1.6%

지번주소
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-30T04:34:07.298178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length23.560976
Min length18

Characters and Unicode

Total characters966
Distinct characters62
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

Unique37 ?
Unique (%)90.2%

Sample

1st row서울특별시 강북구 우이동 71-10 1층
2nd row서울특별시 강북구 번동 148-496
3rd row서울특별시 강북구 번동 148-26
4th row서울특별시 강북구 번동 136 솔그린상가동 101호(궁안길 45)
5th row서울특별시 강북구 수유동 53-35
ValueCountFrequency (%)
서울특별시 41
21.2%
강북구 41
21.2%
수유동 20
 
10.4%
번동 10
 
5.2%
미아동 10
 
5.2%
1층 8
 
4.1%
136 3
 
1.6%
우이동 2
 
1.0%
332-31 2
 
1.0%
436-1 2
 
1.0%
Other values (54) 54
28.0%
2024-04-30T04:34:07.619812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
19.3%
1 50
 
5.2%
동 44
 
4.6%
시 42
 
4.3%
서 41
 
4.2%
북 41
 
4.2%
구 41
 
4.2%
울 41
 
4.2%
강 41
 
4.2%
특 41
 
4.2%
Other values (52) 398
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
52.9%
Decimal Number 223
23.1%
Space Separator 186
 
19.3%
Dash Punctuation 36
 
3.7%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
8.6%
시 42
 
8.2%
서 41
 
8.0%
북 41
 
8.0%
구 41
 
8.0%
울 41
 
8.0%
강 41
 
8.0%
특 41
 
8.0%
별 41
 
8.0%
수 21
 
4.1%
Other values (36) 117
22.9%
Decimal Number
ValueCountFrequency (%)
1 50
22.4%
2 31
13.9%
3 30
13.5%
4 21
9.4%
6 20
 
9.0%
5 19
 
8.5%
0 19
 
8.5%
8 12
 
5.4%
7 12
 
5.4%
9 9
 
4.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
52.9%
Common 454
47.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
8.6%
시 42
 
8.2%
서 41
 
8.0%
북 41
 
8.0%
구 41
 
8.0%
울 41
 
8.0%
강 41
 
8.0%
특 41
 
8.0%
별 41
 
8.0%
수 21
 
4.1%
Other values (36) 117
22.9%
Common
ValueCountFrequency (%)
186
41.0%
1 50
 
11.0%
- 36
 
7.9%
2 31
 
6.8%
3 30
 
6.6%
4 21
 
4.6%
6 20
 
4.4%
5 19
 
4.2%
0 19
 
4.2%
8 12
 
2.6%
Other values (5) 30
 
6.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
52.9%
ASCII 455
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
40.9%
1 50
 
11.0%
- 36
 
7.9%
2 31
 
6.8%
3 30
 
6.6%
4 21
 
4.6%
6 20
 
4.4%
5 19
 
4.2%
0 19
 
4.2%
8 12
 
2.6%
Other values (6) 31
 
6.8%
Hangul
ValueCountFrequency (%)
동 44
 
8.6%
시 42
 
8.2%
서 41
 
8.0%
북 41
 
8.0%
구 41
 
8.0%
울 41
 
8.0%
강 41
 
8.0%
특 41
 
8.0%
별 41
 
8.0%
수 21
 
4.1%
Other values (36) 117
22.9%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing3
Missing (%)7.3%
Memory size460.0 B
2024-04-30T04:34:07.858423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length29.473684
Min length22

Characters and Unicode

Total characters1120
Distinct characters81
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 삼양로139가길 40 (우이동,1층)
2nd row서울특별시 강북구 오현로 137 (번동, 번동완성주상복합상가 1층)
3rd row서울특별시 강북구 오현로 176 (번동)
4th row서울특별시 강북구 오현로20길 46 (번동,솔그린상가동 101호(궁안길 45))
5th row서울특별시 강북구 도봉로71길 33 (수유동)
ValueCountFrequency (%)
서울특별시 38
17.4%
강북구 38
17.4%
수유동 17
 
7.8%
미아동 10
 
4.6%
1층 9
 
4.1%
번동 5
 
2.3%
덕릉로 3
 
1.4%
6 3
 
1.4%
160 2
 
0.9%
60 2
 
0.9%
Other values (84) 92
42.0%
2024-04-30T04:34:08.193194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
16.2%
1 56
 
5.0%
동 41
 
3.7%
( 41
 
3.7%
) 41
 
3.7%
시 39
 
3.5%
울 38
 
3.4%
로 38
 
3.4%
서 38
 
3.4%
구 38
 
3.4%
Other values (71) 569
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
56.9%
Decimal Number 189
 
16.9%
Space Separator 181
 
16.2%
Open Punctuation 41
 
3.7%
Close Punctuation 41
 
3.7%
Other Punctuation 26
 
2.3%
Dash Punctuation 4
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
6.4%
시 39
 
6.1%
울 38
 
6.0%
로 38
 
6.0%
서 38
 
6.0%
구 38
 
6.0%
북 38
 
6.0%
강 38
 
6.0%
별 38
 
6.0%
특 38
 
6.0%
Other values (54) 253
39.7%
Decimal Number
ValueCountFrequency (%)
1 56
29.6%
2 22
 
11.6%
6 20
 
10.6%
4 19
 
10.1%
0 17
 
9.0%
3 16
 
8.5%
7 13
 
6.9%
9 10
 
5.3%
5 9
 
4.8%
8 7
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
. 1
 
3.8%
Space Separator
ValueCountFrequency (%)
181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
56.9%
Common 482
43.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
6.4%
시 39
 
6.1%
울 38
 
6.0%
로 38
 
6.0%
서 38
 
6.0%
구 38
 
6.0%
북 38
 
6.0%
강 38
 
6.0%
별 38
 
6.0%
특 38
 
6.0%
Other values (54) 253
39.7%
Common
ValueCountFrequency (%)
181
37.6%
1 56
 
11.6%
( 41
 
8.5%
) 41
 
8.5%
, 25
 
5.2%
2 22
 
4.6%
6 20
 
4.1%
4 19
 
3.9%
0 17
 
3.5%
3 16
 
3.3%
Other values (6) 44
 
9.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
56.9%
ASCII 483
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
37.5%
1 56
 
11.6%
( 41
 
8.5%
) 41
 
8.5%
, 25
 
5.2%
2 22
 
4.6%
6 20
 
4.1%
4 19
 
3.9%
0 17
 
3.5%
3 16
 
3.3%
Other values (7) 45
 
9.3%
Hangul
ValueCountFrequency (%)
동 41
 
6.4%
시 39
 
6.1%
울 38
 
6.0%
로 38
 
6.0%
서 38
 
6.0%
구 38
 
6.0%
북 38
 
6.0%
강 38
 
6.0%
별 38
 
6.0%
특 38
 
6.0%
Other values (54) 253
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)80.6%
Missing5
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean1117.75
Minimum1009
Maximum1230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:34:08.310056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1009
5-th percentile1030
Q11047.75
median1117
Q31184
95-th percentile1227
Maximum1230
Range221
Interquartile range (IQR)136.25

Descriptive statistics

Standard deviation71.283889
Coefficient of variation (CV)0.063774448
Kurtosis-1.3409392
Mean1117.75
Median Absolute Deviation (MAD)68
Skewness0.19192428
Sum40239
Variance5081.3929
MonotonicityNot monotonic
2024-04-30T04:34:08.406332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1041 3
 
7.3%
1227 2
 
4.9%
1117 2
 
4.9%
1184 2
 
4.9%
1035 2
 
4.9%
1134 2
 
4.9%
1118 1
 
2.4%
1015 1
 
2.4%
1230 1
 
2.4%
1119 1
 
2.4%
Other values (19) 19
46.3%
(Missing) 5
 
12.2%
ValueCountFrequency (%)
1009 1
 
2.4%
1015 1
 
2.4%
1035 2
4.9%
1041 3
7.3%
1042 1
 
2.4%
1047 1
 
2.4%
1048 1
 
2.4%
1051 1
 
2.4%
1060 1
 
2.4%
1070 1
 
2.4%
ValueCountFrequency (%)
1230 1
2.4%
1227 2
4.9%
1226 1
2.4%
1223 1
2.4%
1209 1
2.4%
1202 1
2.4%
1187 1
2.4%
1184 2
4.9%
1171 1
2.4%
1165 1
2.4%

사업장명
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-04-30T04:34:08.576105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.3902439
Min length2

Characters and Unicode

Total characters262
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row주식회사 청원에프앤비
2nd row(주)청마에프에스
3rd row맛골
4th row동원산업북부특판
5th row신흥상회
ValueCountFrequency (%)
주식회사 8
 
15.7%
동원성북부점 2
 
3.9%
청원에프앤비 1
 
2.0%
제3유통 1
 
2.0%
덕치식품 1
 
2.0%
우리키즈푸드 1
 
2.0%
백운축산 1
 
2.0%
청호그린유통 1
 
2.0%
한우리사업단 1
 
2.0%
청수원푸드 1
 
2.0%
Other values (33) 33
64.7%
2024-04-30T04:34:08.895065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 11
 
4.2%
식 11
 
4.2%
회 10
 
3.8%
10
 
3.8%
에 9
 
3.4%
푸 9
 
3.4%
드 9
 
3.4%
주 9
 
3.4%
원 6
 
2.3%
농 6
 
2.3%
Other values (93) 172
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
90.5%
Space Separator 10
 
3.8%
Uppercase Letter 7
 
2.7%
Lowercase Letter 3
 
1.1%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 11
 
4.6%
식 11
 
4.6%
회 10
 
4.2%
에 9
 
3.8%
푸 9
 
3.8%
드 9
 
3.8%
주 9
 
3.8%
원 6
 
2.5%
농 6
 
2.5%
산 6
 
2.5%
Other values (84) 151
63.7%
Uppercase Letter
ValueCountFrequency (%)
F 3
42.9%
I 2
28.6%
S 2
28.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
d 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
90.5%
Common 15
 
5.7%
Latin 10
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 11
 
4.6%
식 11
 
4.6%
회 10
 
4.2%
에 9
 
3.8%
푸 9
 
3.8%
드 9
 
3.8%
주 9
 
3.8%
원 6
 
2.5%
농 6
 
2.5%
산 6
 
2.5%
Other values (84) 151
63.7%
Latin
ValueCountFrequency (%)
F 3
30.0%
I 2
20.0%
S 2
20.0%
o 2
20.0%
d 1
 
10.0%
Common
ValueCountFrequency (%)
10
66.7%
( 2
 
13.3%
) 2
 
13.3%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
90.5%
ASCII 25
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 11
 
4.6%
식 11
 
4.6%
회 10
 
4.2%
에 9
 
3.8%
푸 9
 
3.8%
드 9
 
3.8%
주 9
 
3.8%
원 6
 
2.5%
농 6
 
2.5%
산 6
 
2.5%
Other values (84) 151
63.7%
ASCII
ValueCountFrequency (%)
10
40.0%
F 3
 
12.0%
( 2
 
8.0%
) 2
 
8.0%
I 2
 
8.0%
S 2
 
8.0%
o 2
 
8.0%
d 1
 
4.0%
3 1
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2009-01-16 10:28:31
Maximum2024-01-26 14:14:29
2024-04-30T04:34:09.008200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:09.108185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
I
29 
U
12 

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 29
70.7%
U 12
29.3%

Length

2024-04-30T04:34:09.210832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:09.305982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
70.7%
u 12
29.3%

데이터갱신일자
Categorical

Distinct17
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size460.0 B
2018-08-31 23:59:59.0
25 
2022-01-19 02:40:00.0
 
1
2020-09-30 02:40:00.0
 
1
2022-03-26 02:40:00.0
 
1
2022-12-09 00:09:00.0
 
1
Other values (12)
12 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique16 ?
Unique (%)39.0%

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 25
61.0%
2022-01-19 02:40:00.0 1
 
2.4%
2020-09-30 02:40:00.0 1
 
2.4%
2022-03-26 02:40:00.0 1
 
2.4%
2022-12-09 00:09:00.0 1
 
2.4%
2020-10-21 02:40:00.0 1
 
2.4%
2019-03-08 02:40:00.0 1
 
2.4%
2020-09-06 02:40:00.0 1
 
2.4%
2020-07-26 00:23:15.0 1
 
2.4%
2022-12-02 23:06:00.0 1
 
2.4%
Other values (7) 7
 
17.1%

Length

2024-04-30T04:34:09.399395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 25
30.5%
23:59:59.0 25
30.5%
02:40:00.0 8
 
9.8%
00:09:00.0 2
 
2.4%
2022-11-30 2
 
2.4%
23:06:00.0 1
 
1.2%
2023-11-30 1
 
1.2%
2022-12-04 1
 
1.2%
23:08:00.0 1
 
1.2%
22:01:00.0 1
 
1.2%
Other values (15) 15
18.3%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
집단급식소 식품판매업
41 

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 41
100.0%

Length

2024-04-30T04:34:09.488686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:09.568081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 41
50.0%
식품판매업 41
50.0%

좌표정보(X)
Real number (ℝ)

Distinct37
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202031.19
Minimum200536.75
Maximum204083.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:34:09.837447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200536.75
5-th percentile200990.23
Q1201383.86
median201905.61
Q3202654.8
95-th percentile203405.73
Maximum204083.18
Range3546.425
Interquartile range (IQR)1270.9413

Descriptive statistics

Standard deviation850.52451
Coefficient of variation (CV)0.0042098674
Kurtosis-0.24601581
Mean202031.19
Median Absolute Deviation (MAD)521.74909
Skewness0.66951311
Sum8283278.8
Variance723391.94
MonotonicityNot monotonic
2024-04-30T04:34:09.951273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
203405.728060301 3
 
7.3%
202711.871568142 2
 
4.9%
201383.856922587 2
 
4.9%
201024.995824924 1
 
2.4%
200950.515319043 1
 
2.4%
201936.784540281 1
 
2.4%
201418.823346321 1
 
2.4%
201905.606011851 1
 
2.4%
200536.752063254 1
 
2.4%
204083.177112537 1
 
2.4%
Other values (27) 27
65.9%
ValueCountFrequency (%)
200536.752063254 1
2.4%
200950.515319043 1
2.4%
200990.229860819 1
2.4%
201008.572386836 1
2.4%
201024.995824924 1
2.4%
201235.558560774 1
2.4%
201271.512489558 1
2.4%
201306.551754094 1
2.4%
201378.117694095 1
2.4%
201383.856922587 2
4.9%
ValueCountFrequency (%)
204083.177112537 1
 
2.4%
203732.31378233 1
 
2.4%
203405.728060301 3
7.3%
203299.090419064 1
 
2.4%
203204.756165427 1
 
2.4%
202833.590053854 1
 
2.4%
202711.871568142 2
4.9%
202654.798206573 1
 
2.4%
202266.392951838 1
 
2.4%
202234.698756565 1
 
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct37
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459049.49
Minimum456871.46
Maximum460968.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-04-30T04:34:10.068216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456871.46
5-th percentile457301.74
Q1458203.98
median459105.42
Q3459997.03
95-th percentile460662.4
Maximum460968.27
Range4096.8095
Interquartile range (IQR)1793.0526

Descriptive statistics

Standard deviation1092.4264
Coefficient of variation (CV)0.0023797573
Kurtosis-1.0310955
Mean459049.49
Median Absolute Deviation (MAD)901.44318
Skewness-0.072965416
Sum18821029
Variance1193395.4
MonotonicityNot monotonic
2024-04-30T04:34:10.182515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
458203.976557842 3
 
7.3%
459194.159297984 2
 
4.9%
460171.088754816 2
 
4.9%
460961.867828208 1
 
2.4%
459802.671809033 1
 
2.4%
459842.280517029 1
 
2.4%
459997.029189739 1
 
2.4%
456871.461840582 1
 
2.4%
460328.943597401 1
 
2.4%
458197.61919645 1
 
2.4%
Other values (27) 27
65.9%
ValueCountFrequency (%)
456871.461840582 1
2.4%
457247.881070064 1
2.4%
457301.744397725 1
2.4%
457553.947260035 1
2.4%
457830.996474864 1
2.4%
457831.45197333 1
2.4%
457847.889892954 1
2.4%
457917.868413101 1
2.4%
458042.398205884 1
2.4%
458197.61919645 1
2.4%
ValueCountFrequency (%)
460968.271364804 1
2.4%
460961.867828208 1
2.4%
460662.399060447 1
2.4%
460368.577131198 1
2.4%
460328.943597401 1
2.4%
460192.629440106 1
2.4%
460171.088754816 2
4.9%
460168.11751187 1
2.4%
460001.632075829 1
2.4%
459997.029189739 1
2.4%

위생업태명
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
집단급식소 식품판매업
34 
<NA>
7 

Length

Max length11
Median length11
Mean length9.804878
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 34
82.9%
<NA> 7
 
17.1%

Length

2024-04-30T04:34:10.313634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:10.402902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 34
45.3%
식품판매업 34
45.3%
na 7
 
9.3%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
0
 
3

Length

Max length4
Median length4
Mean length3.7804878
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> 38
92.7%
0 3
 
7.3%

Length

2024-04-30T04:34:10.503620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:10.607450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
0 3
 
7.3%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
0
 
3

Length

Max length4
Median length4
Mean length3.7804878
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> 38
92.7%
0 3
 
7.3%

Length

2024-04-30T04:34:10.704108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:10.803524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
0 3
 
7.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
상수도전용
 
3

Length

Max length5
Median length4
Mean length4.0731707
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> 38
92.7%
상수도전용 3
 
7.3%

Length

2024-04-30T04:34:10.910892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:11.020272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
상수도전용 3
 
7.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
0
 
3

Length

Max length4
Median length4
Mean length3.7804878
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> 38
92.7%
0 3
 
7.3%

Length

2024-04-30T04:34:11.123100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:11.231180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
0 3
 
7.3%

본사종업원수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
30 
0
11 

Length

Max length4
Median length4
Mean length3.195122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
73.2%
0 11
 
26.8%

Length

2024-04-30T04:34:11.321786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:11.420360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
73.2%
0 11
 
26.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
30 
0
11 

Length

Max length4
Median length4
Mean length3.195122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
73.2%
0 11
 
26.8%

Length

2024-04-30T04:34:11.518534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:11.602965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
73.2%
0 11
 
26.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
30 
0
11 

Length

Max length4
Median length4
Mean length3.195122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
73.2%
0 11
 
26.8%

Length

2024-04-30T04:34:11.693505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:11.778336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
73.2%
0 11
 
26.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
30 
0
11 

Length

Max length4
Median length4
Mean length3.195122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
73.2%
0 11
 
26.8%

Length

2024-04-30T04:34:11.864923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:11.955235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
73.2%
0 11
 
26.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
26 
자가
10 
임대
5 

Length

Max length4
Median length4
Mean length3.2682927
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
63.4%
자가 10
 
24.4%
임대 5
 
12.2%

Length

2024-04-30T04:34:12.053900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:12.152521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
63.4%
자가 10
 
24.4%
임대 5
 
12.2%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
0
 
3

Length

Max length4
Median length4
Mean length3.7804878
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> 38
92.7%
0 3
 
7.3%

Length

2024-04-30T04:34:12.245147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:12.347201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
0 3
 
7.3%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
<NA>
38 
0
 
3

Length

Max length4
Median length4
Mean length3.7804878
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> 38
92.7%
0 3
 
7.3%

Length

2024-04-30T04:34:12.461869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:12.555153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
92.7%
0 3
 
7.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing7
Missing (%)17.1%
Memory size214.0 B
False
34 
(Missing)
7 
ValueCountFrequency (%)
False 34
82.9%
(Missing) 7
 
17.1%
2024-04-30T04:34:12.629727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
0
34 
<NA>
7 

Length

Max length4
Median length1
Mean length1.5121951
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
82.9%
<NA> 7
 
17.1%

Length

2024-04-30T04:34:12.717164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:12.824766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
82.9%
na 7
 
17.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)100.0%
Memory size501.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030800003080000-122-2008-0000120080318<NA>3폐업2폐업20170404<NA><NA><NA>02 09056152173.8142892서울특별시 강북구 우이동 71-10 1층서울특별시 강북구 삼양로139가길 40 (우이동,1층)1009주식회사 청원에프앤비2017-04-04 09:49:44I2018-08-31 23:59:59.0집단급식소 식품판매업201024.995825460961.867828집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
130800003080000-122-2008-0000220080326<NA>3폐업2폐업20131101<NA><NA><NA>02 988 7156198.0142860서울특별시 강북구 번동 148-496서울특별시 강북구 오현로 137 (번동, 번동완성주상복합상가 1층)1151(주)청마에프에스2012-01-31 11:53:06I2018-08-31 23:59:59.0집단급식소 식품판매업203204.756165458042.398206집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0<NA><NA><NA>
230800003080000-122-2008-0000320080331<NA>1영업/정상1영업<NA><NA><NA><NA><NA>110.08142860서울특별시 강북구 번동 148-26서울특별시 강북구 오현로 176 (번동)1223맛골2018-06-26 10:41:28I2018-08-31 23:59:59.0집단급식소 식품판매업203299.090419458350.874125집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0<NA><NA><NA>
330800003080000-122-2008-0000420080418<NA>3폐업2폐업20120315<NA><NA><NA>02 981 5770230.0142861서울특별시 강북구 번동 136 솔그린상가동 101호(궁안길 45)서울특별시 강북구 오현로20길 46 (번동,솔그린상가동 101호(궁안길 45))1227동원산업북부특판2009-01-16 10:28:31I2018-08-31 23:59:59.0집단급식소 식품판매업203405.72806458203.976558집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
430800003080000-122-2008-0000520080605<NA>3폐업2폐업20170908<NA><NA><NA><NA>33.0142874서울특별시 강북구 수유동 53-35서울특별시 강북구 도봉로71길 33 (수유동)1117신흥상회2017-09-08 11:09:11I2018-08-31 23:59:59.0집단급식소 식품판매업201877.860906458754.547461집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
530800003080000-122-2008-0000620080801<NA>3폐업2폐업20170906<NA><NA><NA><NA>59.4142070서울특별시 강북구 수유동 279-105 1층서울특별시 강북구 한천로 1176 (수유동)<NA>이선푸드2017-09-06 13:11:56I2018-08-31 23:59:59.0집단급식소 식품판매업201271.51249460662.39906집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
630800003080000-122-2009-0000120090430<NA>3폐업2폐업20140224<NA><NA><NA>02 988 3290<NA>142874서울특별시 강북구 수유동 55-1 (수유시장3길5)서울특별시 강북구 도봉로69길 27 (수유동,(수유시장3길5))1117서울상사2009-05-01 09:38:34I2018-08-31 23:59:59.0집단급식소 식품판매업201888.037419458710.859267집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
730800003080000-122-2009-0000220090918<NA>3폐업2폐업20100601<NA><NA><NA>02905 6163<NA>142892서울특별시 강북구 우이동 73-23 (새동네길 14) 1층<NA><NA>삼일푸드2009-09-18 09:07:03I2018-08-31 23:59:59.0집단급식소 식품판매업200990.229861460968.271365집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
830800003080000-122-2009-0000320090603<NA>3폐업2폐업20140612<NA><NA><NA>02 954 012633.0142879서울특별시 강북구 수유동 254-43서울특별시 강북구 노해로23길 63 (수유동)1047다림푸드2011-06-01 14:02:16I2018-08-31 23:59:59.0집단급식소 식품판매업201692.416982460368.577131집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0<NA><NA><NA>
930800003080000-122-2010-0000120101115<NA>3폐업2폐업20180423<NA><NA><NA>02 981 5780198.0142060서울특별시 강북구 번동 270-1 1층서울특별시 강북구 한천로109길 21-5 (번동,1층)1226동원북부2018-05-09 16:46:39I2018-08-31 23:59:59.0집단급식소 식품판매업203732.313782458428.344484집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3130800003080000-122-2016-0000220160809<NA>1영업/정상1영업<NA><NA><NA><NA>031 814 556516.5142883서울특별시 강북구 수유동 525-1 1층서울특별시 강북구 인수봉로 242, 1층 (수유동)1035예담가2020-07-24 13:52:03I2020-07-26 00:23:15.0집단급식소 식품판매업200950.515319459802.671809집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
3230800003080000-122-2017-000012017-07-28<NA>3폐업2폐업2023-03-14<NA><NA><NA>02 956550050.68142-810서울특별시 강북구 미아동 217-16서울특별시 강북구 솔매로45길 83, 2층 (미아동)1118동원성북부점2023-03-14 16:02:32U2022-12-02 23:06:00.0집단급식소 식품판매업202043.162183458579.686972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3330800003080000-122-2017-0000220171027<NA>1영업/정상1영업<NA><NA><NA><NA>02 992233337.0142878서울특별시 강북구 수유동 190-49 일심빌딩서울특별시 강북구 한천로139길 10, 4층 (수유동)1071이삭에프아이에스(FIS)2017-10-27 11:48:53I2018-08-31 23:59:59.0집단급식소 식품판매업202234.698757459717.468817집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
3430800003080000-122-2018-0000120180309<NA>3폐업2폐업20201231<NA><NA><NA>02 999 959579.94142866서울특별시 강북구 번동 436-1서울특별시 강북구 덕릉로 160, 1층 (번동)1134새마을유통2020-12-31 13:49:03U2021-01-02 02:40:00.0집단급식소 식품판매업202711.871568459194.159298집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
3530800003080000-122-2018-0000220180528<NA>3폐업2폐업20211216<NA><NA><NA>02 988 6321<NA>142810서울특별시 강북구 미아동 218-26서울특별시 강북구 도봉로67길 49, 1층 (미아동)1119주식회사 서울이푸드2021-12-16 09:18:19U2021-12-18 02:40:00.0집단급식소 식품판매업201880.114588458586.415551집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0<NA><NA><NA>
3630800003080000-122-2018-0000320181105<NA>3폐업2폐업20230112<NA><NA><NA><NA>16.5142884서울특별시 강북구 수유동 391-18 3층서울특별시 강북구 삼각산로22길 2, 3층 (수유동)1083길 Food2023-01-12 11:43:33U2022-11-30 23:04:00.0집단급식소 식품판매업201404.015102459794.640749<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3730800003080000-122-2022-0000120220819<NA>1영업/정상1영업<NA><NA><NA><NA><NA>23.0142816서울특별시 강북구 미아동 760-118서울특별시 강북구 인수봉로6나길 21-16, 1층 (미아동)1184하현식품2022-08-19 15:38:09I2021-12-07 22:01:00.0집단급식소 식품판매업201378.117694457831.451973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3830800003080000-122-2023-0000120230116<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.5142821서울특별시 강북구 미아동 839-298서울특별시 강북구 솔샘로 199, 2층 201호 (미아동)1187성실FIS2023-01-16 14:01:23I2022-11-30 23:08:00.0집단급식소 식품판매업201235.558561457553.94726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3930800003080000-122-2023-000022023-03-22<NA>1영업/정상1영업<NA><NA><NA><NA>070 7765185635.35142-873서울특별시 강북구 수유동 95-7 수유동 이테크밸리 오피스텔서울특별시 강북구 도봉로77길 6, 수유동 이테크밸리 오피스텔 403호 (수유동)1113주식회사 에스에스피앤디2023-04-07 14:23:19U2022-12-04 00:09:00.0집단급식소 식품판매업201942.872329459046.12554<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4030800003080000-122-2024-000012024-01-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>18.0142-816서울특별시 강북구 미아동 760-27서울특별시 강북구 삼양로47길 24, 지하층 좌측호 (미아동)1184선진유통2024-01-26 14:14:29I2023-11-30 22:08:00.0집단급식소 식품판매업201496.188965457847.889893<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>