Overview

Dataset statistics

Number of variables44
Number of observations80
Missing cells822
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory379.6 B

Variable types

Categorical20
Text6
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18038/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (83.1%)Imbalance
여성종사자수 is highly imbalanced (83.1%)Imbalance
총인원 is highly imbalanced (83.1%)Imbalance
보증액 is highly imbalanced (83.1%)Imbalance
월세액 is highly imbalanced (83.1%)Imbalance
시설총규모 is highly imbalanced (56.0%)Imbalance
인허가취소일자 has 80 (100.0%) missing valuesMissing
폐업일자 has 30 (37.5%) missing valuesMissing
휴업시작일자 has 80 (100.0%) missing valuesMissing
휴업종료일자 has 80 (100.0%) missing valuesMissing
재개업일자 has 80 (100.0%) missing valuesMissing
전화번호 has 29 (36.2%) missing valuesMissing
소재지면적 has 1 (1.2%) missing valuesMissing
도로명주소 has 11 (13.8%) missing valuesMissing
도로명우편번호 has 13 (16.2%) missing valuesMissing
영업장주변구분명 has 80 (100.0%) missing valuesMissing
등급구분명 has 80 (100.0%) missing valuesMissing
다중이용업소여부 has 18 (22.5%) missing valuesMissing
전통업소지정번호 has 80 (100.0%) missing valuesMissing
전통업소주된음식 has 80 (100.0%) missing valuesMissing
홈페이지 has 80 (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 19:34:16.773255
Analysis finished2024-04-29 19:34:17.531580
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3110000
80 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 80
100.0%

Length

2024-04-30T04:34:17.592806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:17.670167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 80
100.0%

관리번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:34:17.814722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1760
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

Unique80 ?
Unique (%)100.0%

Sample

1st row3110000-122-2008-00001
2nd row3110000-122-2008-00002
3rd row3110000-122-2008-00003
4th row3110000-122-2008-00004
5th row3110000-122-2008-00005
ValueCountFrequency (%)
3110000-122-2008-00001 1
 
1.2%
3110000-122-2008-00002 1
 
1.2%
3110000-122-2017-00004 1
 
1.2%
3110000-122-2017-00003 1
 
1.2%
3110000-122-2017-00002 1
 
1.2%
3110000-122-2017-00001 1
 
1.2%
3110000-122-2016-00003 1
 
1.2%
3110000-122-2016-00002 1
 
1.2%
3110000-122-2016-00001 1
 
1.2%
3110000-122-2017-00005 1
 
1.2%
Other values (70) 70
87.5%
2024-04-30T04:34:18.111174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 729
41.4%
1 338
19.2%
2 273
 
15.5%
- 240
 
13.6%
3 105
 
6.0%
5 17
 
1.0%
8 15
 
0.9%
4 14
 
0.8%
7 12
 
0.7%
6 10
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1520
86.4%
Dash Punctuation 240
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 729
48.0%
1 338
22.2%
2 273
 
18.0%
3 105
 
6.9%
5 17
 
1.1%
8 15
 
1.0%
4 14
 
0.9%
7 12
 
0.8%
6 10
 
0.7%
9 7
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 729
41.4%
1 338
19.2%
2 273
 
15.5%
- 240
 
13.6%
3 105
 
6.0%
5 17
 
1.0%
8 15
 
0.9%
4 14
 
0.8%
7 12
 
0.7%
6 10
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 729
41.4%
1 338
19.2%
2 273
 
15.5%
- 240
 
13.6%
3 105
 
6.0%
5 17
 
1.0%
8 15
 
0.9%
4 14
 
0.8%
7 12
 
0.7%
6 10
 
0.6%

인허가일자
Date

Distinct77
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2008-04-07 00:00:00
Maximum2023-12-07 00:00:00
2024-04-30T04:34:18.274290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:18.407535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
3
50 
1
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 50
62.5%
1 30
37.5%

Length

2024-04-30T04:34:18.517639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:18.593962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 50
62.5%
1 30
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
50 
영업/정상
30 

Length

Max length5
Median length2
Mean length3.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 50
62.5%
영업/정상 30
37.5%

Length

2024-04-30T04:34:18.700446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:18.792593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 50
62.5%
영업/정상 30
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2
50 
1
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 50
62.5%
1 30
37.5%

Length

2024-04-30T04:34:18.873687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:18.953680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 50
62.5%
1 30
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
50 
영업
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 50
62.5%
영업 30
37.5%

Length

2024-04-30T04:34:19.045828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:19.137386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 50
62.5%
영업 30
37.5%

폐업일자
Date

MISSING 

Distinct48
Distinct (%)96.0%
Missing30
Missing (%)37.5%
Memory size772.0 B
Minimum2009-01-21 00:00:00
Maximum2023-12-07 00:00:00
2024-04-30T04:34:19.237713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:19.362911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing29
Missing (%)36.2%
Memory size772.0 B
2024-04-30T04:34:19.543942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.980392
Min length10

Characters and Unicode

Total characters560
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

Unique49 ?
Unique (%)96.1%

Sample

1st row02 383 0837
2nd row02 304 5685
3rd row02 383 8848
4th row02 382 9796
5th row02 3751004
ValueCountFrequency (%)
02 40
36.4%
070 3
 
2.7%
3887007 2
 
1.8%
383 2
 
1.8%
376 2
 
1.8%
382 2
 
1.8%
3537507 1
 
0.9%
4544152 1
 
0.9%
3748948 1
 
0.9%
3831291 1
 
0.9%
Other values (55) 55
50.0%
2024-04-30T04:34:19.835303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99
17.7%
80
14.3%
2 75
13.4%
3 72
12.9%
8 43
7.7%
4 42
7.5%
7 40
7.1%
6 30
 
5.4%
5 27
 
4.8%
1 26
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
85.7%
Space Separator 80
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
20.6%
2 75
15.6%
3 72
15.0%
8 43
9.0%
4 42
8.8%
7 40
8.3%
6 30
 
6.2%
5 27
 
5.6%
1 26
 
5.4%
9 26
 
5.4%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 99
17.7%
80
14.3%
2 75
13.4%
3 72
12.9%
8 43
7.7%
4 42
7.5%
7 40
7.1%
6 30
 
5.4%
5 27
 
4.8%
1 26
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 99
17.7%
80
14.3%
2 75
13.4%
3 72
12.9%
8 43
7.7%
4 42
7.5%
7 40
7.1%
6 30
 
5.4%
5 27
 
4.8%
1 26
 
4.6%

소재지면적
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)81.0%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean52.844051
Minimum6
Maximum533.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:34:19.957231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9.99
Q120
median34
Q366
95-th percentile135.23
Maximum533.72
Range527.72
Interquartile range (IQR)46

Descriptive statistics

Standard deviation72.086884
Coefficient of variation (CV)1.3641438
Kurtosis27.428941
Mean52.844051
Median Absolute Deviation (MAD)17.8
Skewness4.7151731
Sum4174.68
Variance5196.5188
MonotonicityNot monotonic
2024-04-30T04:34:20.075628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 4
 
5.0%
15.0 3
 
3.8%
37.8 3
 
3.8%
27.0 3
 
3.8%
11.37 2
 
2.5%
45.0 2
 
2.5%
12.0 2
 
2.5%
23.0 2
 
2.5%
10.0 2
 
2.5%
66.0 2
 
2.5%
Other values (54) 54
67.5%
ValueCountFrequency (%)
6.0 1
 
1.2%
6.61 1
 
1.2%
9.0 1
 
1.2%
9.9 1
 
1.2%
10.0 2
2.5%
11.37 2
2.5%
12.0 2
2.5%
13.08 1
 
1.2%
15.0 3
3.8%
15.4 1
 
1.2%
ValueCountFrequency (%)
533.72 1
1.2%
326.62 1
1.2%
167.8 1
1.2%
164.3 1
1.2%
132.0 1
1.2%
128.37 1
1.2%
109.05 1
1.2%
100.0 1
1.2%
95.63 1
1.2%
87.42 1
1.2%

소재지우편번호
Text

Distinct52
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:34:20.277566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1875
Min length6

Characters and Unicode

Total characters495
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

Unique34 ?
Unique (%)42.5%

Sample

1st row122958
2nd row122900
3rd row122918
4th row122834
5th row122908
ValueCountFrequency (%)
122952 4
 
5.0%
122891 4
 
5.0%
122847 4
 
5.0%
122923 4
 
5.0%
122831 3
 
3.8%
122807 3
 
3.8%
122-869 2
 
2.5%
122813 2
 
2.5%
122937 2
 
2.5%
122935 2
 
2.5%
Other values (42) 50
62.5%
2024-04-30T04:34:20.556992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 180
36.4%
1 97
19.6%
8 55
 
11.1%
9 48
 
9.7%
3 25
 
5.1%
0 24
 
4.8%
7 17
 
3.4%
- 15
 
3.0%
4 13
 
2.6%
5 11
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
97.0%
Dash Punctuation 15
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 180
37.5%
1 97
20.2%
8 55
 
11.5%
9 48
 
10.0%
3 25
 
5.2%
0 24
 
5.0%
7 17
 
3.5%
4 13
 
2.7%
5 11
 
2.3%
6 10
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 180
36.4%
1 97
19.6%
8 55
 
11.1%
9 48
 
9.7%
3 25
 
5.1%
0 24
 
4.8%
7 17
 
3.4%
- 15
 
3.0%
4 13
 
2.6%
5 11
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 180
36.4%
1 97
19.6%
8 55
 
11.1%
9 48
 
9.7%
3 25
 
5.1%
0 24
 
4.8%
7 17
 
3.4%
- 15
 
3.0%
4 13
 
2.6%
5 11
 
2.2%

지번주소
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:34:20.829350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32.5
Mean length26.5125
Min length19

Characters and Unicode

Total characters2121
Distinct characters87
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

Unique78 ?
Unique (%)97.5%

Sample

1st row서울특별시 은평구 갈현동 326-29
2nd row서울특별시 은평구 역촌동 58-9 외 1필지 부호아파트 102동 01호, 02호
3rd row서울특별시 은평구 응암동 334-9 외3필지 1층104호
4th row서울특별시 은평구 녹번동 177-1
5th row서울특별시 은평구 응암동 99-19 1층
ValueCountFrequency (%)
서울특별시 80
19.0%
은평구 80
19.0%
응암동 20
 
4.7%
지상1층 17
 
4.0%
1층 16
 
3.8%
녹번동 11
 
2.6%
불광동 9
 
2.1%
신사동 8
 
1.9%
역촌동 6
 
1.4%
대조동 6
 
1.4%
Other values (128) 169
40.0%
2024-04-30T04:34:21.185920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
18.5%
1 139
 
6.6%
구 86
 
4.1%
동 86
 
4.1%
은 81
 
3.8%
평 81
 
3.8%
서 80
 
3.8%
특 80
 
3.8%
별 80
 
3.8%
시 80
 
3.8%
Other values (77) 935
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1119
52.8%
Decimal Number 484
22.8%
Space Separator 393
 
18.5%
Dash Punctuation 78
 
3.7%
Open Punctuation 18
 
0.8%
Close Punctuation 18
 
0.8%
Uppercase Letter 6
 
0.3%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 86
 
7.7%
동 86
 
7.7%
은 81
 
7.2%
평 81
 
7.2%
서 80
 
7.1%
특 80
 
7.1%
별 80
 
7.1%
시 80
 
7.1%
울 80
 
7.1%
층 51
 
4.6%
Other values (58) 334
29.8%
Decimal Number
ValueCountFrequency (%)
1 139
28.7%
2 68
14.0%
0 46
 
9.5%
3 45
 
9.3%
7 38
 
7.9%
5 36
 
7.4%
4 33
 
6.8%
6 32
 
6.6%
9 28
 
5.8%
8 19
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
R 2
33.3%
J 2
33.3%
B 1
16.7%
A 1
16.7%
Space Separator
ValueCountFrequency (%)
393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1119
52.8%
Common 996
47.0%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 86
 
7.7%
동 86
 
7.7%
은 81
 
7.2%
평 81
 
7.2%
서 80
 
7.1%
특 80
 
7.1%
별 80
 
7.1%
시 80
 
7.1%
울 80
 
7.1%
층 51
 
4.6%
Other values (58) 334
29.8%
Common
ValueCountFrequency (%)
393
39.5%
1 139
 
14.0%
- 78
 
7.8%
2 68
 
6.8%
0 46
 
4.6%
3 45
 
4.5%
7 38
 
3.8%
5 36
 
3.6%
4 33
 
3.3%
6 32
 
3.2%
Other values (5) 88
 
8.8%
Latin
ValueCountFrequency (%)
R 2
33.3%
J 2
33.3%
B 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1119
52.8%
ASCII 1002
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
39.2%
1 139
 
13.9%
- 78
 
7.8%
2 68
 
6.8%
0 46
 
4.6%
3 45
 
4.5%
7 38
 
3.8%
5 36
 
3.6%
4 33
 
3.3%
6 32
 
3.2%
Other values (9) 94
 
9.4%
Hangul
ValueCountFrequency (%)
구 86
 
7.7%
동 86
 
7.7%
은 81
 
7.2%
평 81
 
7.2%
서 80
 
7.1%
특 80
 
7.1%
별 80
 
7.1%
시 80
 
7.1%
울 80
 
7.1%
층 51
 
4.6%
Other values (58) 334
29.8%

도로명주소
Text

MISSING 

Distinct67
Distinct (%)97.1%
Missing11
Missing (%)13.8%
Memory size772.0 B
2024-04-30T04:34:21.436095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length33.434783
Min length26

Characters and Unicode

Total characters2307
Distinct characters101
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

Unique65 ?
Unique (%)94.2%

Sample

1st row서울특별시 은평구 서오릉로24길 11 (갈현동)
2nd row서울특별시 은평구 은평로12길 8-9, 1층 (응암동)
3rd row서울특별시 은평구 녹번로 57 (녹번동,(1층))
4th row서울특별시 은평구 통일로 877, 한뉘빌딩 3층 (갈현동)
5th row서울특별시 은평구 연서로29길 21-7 (갈현동,,453-27)
ValueCountFrequency (%)
서울특별시 69
 
15.4%
은평구 69
 
15.4%
1층 23
 
5.1%
응암동 15
 
3.3%
지상1층 14
 
3.1%
불광동 9
 
2.0%
녹번동 8
 
1.8%
101호 6
 
1.3%
구산동 6
 
1.3%
신사동 5
 
1.1%
Other values (153) 224
50.0%
2024-04-30T04:34:21.820652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
379
 
16.4%
1 149
 
6.5%
서 89
 
3.9%
, 82
 
3.6%
동 77
 
3.3%
구 75
 
3.3%
은 74
 
3.2%
평 74
 
3.2%
) 72
 
3.1%
( 72
 
3.1%
Other values (91) 1164
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1272
55.1%
Decimal Number 395
 
17.1%
Space Separator 379
 
16.4%
Other Punctuation 82
 
3.6%
Close Punctuation 72
 
3.1%
Open Punctuation 72
 
3.1%
Dash Punctuation 27
 
1.2%
Uppercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 89
 
7.0%
동 77
 
6.1%
구 75
 
5.9%
은 74
 
5.8%
평 74
 
5.8%
울 69
 
5.4%
시 69
 
5.4%
별 69
 
5.4%
특 69
 
5.4%
로 63
 
5.0%
Other values (72) 544
42.8%
Decimal Number
ValueCountFrequency (%)
1 149
37.7%
2 48
 
12.2%
0 39
 
9.9%
3 36
 
9.1%
4 29
 
7.3%
6 24
 
6.1%
7 19
 
4.8%
5 18
 
4.6%
8 17
 
4.3%
9 16
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
R 2
25.0%
J 2
25.0%
B 2
25.0%
A 2
25.0%
Space Separator
ValueCountFrequency (%)
379
100.0%
Other Punctuation
ValueCountFrequency (%)
, 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1272
55.1%
Common 1027
44.5%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 89
 
7.0%
동 77
 
6.1%
구 75
 
5.9%
은 74
 
5.8%
평 74
 
5.8%
울 69
 
5.4%
시 69
 
5.4%
별 69
 
5.4%
특 69
 
5.4%
로 63
 
5.0%
Other values (72) 544
42.8%
Common
ValueCountFrequency (%)
379
36.9%
1 149
 
14.5%
, 82
 
8.0%
) 72
 
7.0%
( 72
 
7.0%
2 48
 
4.7%
0 39
 
3.8%
3 36
 
3.5%
4 29
 
2.8%
- 27
 
2.6%
Other values (5) 94
 
9.2%
Latin
ValueCountFrequency (%)
R 2
25.0%
J 2
25.0%
B 2
25.0%
A 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1272
55.1%
ASCII 1035
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
379
36.6%
1 149
 
14.4%
, 82
 
7.9%
) 72
 
7.0%
( 72
 
7.0%
2 48
 
4.6%
0 39
 
3.8%
3 36
 
3.5%
4 29
 
2.8%
- 27
 
2.6%
Other values (9) 102
 
9.9%
Hangul
ValueCountFrequency (%)
서 89
 
7.0%
동 77
 
6.1%
구 75
 
5.9%
은 74
 
5.8%
평 74
 
5.8%
울 69
 
5.4%
시 69
 
5.4%
별 69
 
5.4%
특 69
 
5.4%
로 63
 
5.0%
Other values (72) 544
42.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)70.1%
Missing13
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean3407.4925
Minimum3306
Maximum3506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:34:21.951328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3306
5-th percentile3325.6
Q13365
median3403
Q33457
95-th percentile3492
Maximum3506
Range200
Interquartile range (IQR)92

Descriptive statistics

Standard deviation56.411468
Coefficient of variation (CV)0.016555126
Kurtosis-1.1092321
Mean3407.4925
Median Absolute Deviation (MAD)43
Skewness0.00165142
Sum228302
Variance3182.2537
MonotonicityNot monotonic
2024-04-30T04:34:22.064537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3374 3
 
3.8%
3457 3
 
3.8%
3392 3
 
3.8%
3360 3
 
3.8%
3506 2
 
2.5%
3340 2
 
2.5%
3480 2
 
2.5%
3307 2
 
2.5%
3462 2
 
2.5%
3384 2
 
2.5%
Other values (37) 43
53.8%
(Missing) 13
 
16.2%
ValueCountFrequency (%)
3306 1
1.2%
3307 2
2.5%
3325 1
1.2%
3327 1
1.2%
3329 1
1.2%
3331 1
1.2%
3336 2
2.5%
3340 2
2.5%
3341 1
1.2%
3342 1
1.2%
ValueCountFrequency (%)
3506 2
2.5%
3497 1
1.2%
3495 1
1.2%
3485 1
1.2%
3481 2
2.5%
3480 2
2.5%
3479 2
2.5%
3478 1
1.2%
3467 2
2.5%
3462 2
2.5%

사업장명
Text

Distinct76
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-30T04:34:22.272175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length5.5875
Min length2

Characters and Unicode

Total characters447
Distinct characters157
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

Unique72 ?
Unique (%)90.0%

Sample

1st row주식회사 이루델
2nd row제일상사
3rd row한양유통
4th row리치보그
5th row세원식품
ValueCountFrequency (%)
주식회사 5
 
5.3%
채움유통 2
 
2.1%
한양유통 2
 
2.1%
코리아푸드 2
 
2.1%
아이푸드 2
 
2.1%
주일식품 1
 
1.1%
현주푸드 1
 
1.1%
명인유통 1
 
1.1%
늘푸룬 1
 
1.1%
푸드앤 1
 
1.1%
Other values (77) 77
81.1%
2024-04-30T04:34:22.593997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 25
 
5.6%
드 25
 
5.6%
15
 
3.4%
유 15
 
3.4%
주 14
 
3.1%
통 13
 
2.9%
사 11
 
2.5%
식 10
 
2.2%
에 9
 
2.0%
회 8
 
1.8%
Other values (147) 302
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
90.6%
Space Separator 15
 
3.4%
Uppercase Letter 9
 
2.0%
Close Punctuation 8
 
1.8%
Open Punctuation 8
 
1.8%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 25
 
6.2%
드 25
 
6.2%
유 15
 
3.7%
주 14
 
3.5%
통 13
 
3.2%
사 11
 
2.7%
식 10
 
2.5%
에 9
 
2.2%
회 8
 
2.0%
스 8
 
2.0%
Other values (139) 267
65.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
44.4%
F 3
33.3%
T 1
 
11.1%
M 1
 
11.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
90.6%
Common 33
 
7.4%
Latin 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 25
 
6.2%
드 25
 
6.2%
유 15
 
3.7%
주 14
 
3.5%
통 13
 
3.2%
사 11
 
2.7%
식 10
 
2.5%
에 9
 
2.2%
회 8
 
2.0%
스 8
 
2.0%
Other values (139) 267
65.9%
Common
ValueCountFrequency (%)
15
45.5%
) 8
24.2%
( 8
24.2%
. 2
 
6.1%
Latin
ValueCountFrequency (%)
S 4
44.4%
F 3
33.3%
T 1
 
11.1%
M 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
90.6%
ASCII 42
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 25
 
6.2%
드 25
 
6.2%
유 15
 
3.7%
주 14
 
3.5%
통 13
 
3.2%
사 11
 
2.7%
식 10
 
2.5%
에 9
 
2.2%
회 8
 
2.0%
스 8
 
2.0%
Other values (139) 267
65.9%
ASCII
ValueCountFrequency (%)
15
35.7%
) 8
19.0%
( 8
19.0%
S 4
 
9.5%
F 3
 
7.1%
. 2
 
4.8%
T 1
 
2.4%
M 1
 
2.4%

최종수정일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2008-04-10 14:43:50
Maximum2024-01-25 11:30:50
2024-04-30T04:34:22.928007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:23.061265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
I
45 
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 45
56.2%
U 35
43.8%

Length

2024-04-30T04:34:23.163840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:23.242171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
56.2%
u 35
43.8%

데이터갱신일자
Date

Distinct41
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:03:00
2024-04-30T04:34:23.332834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:34:23.438304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
집단급식소 식품판매업
80 

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 80
100.0%

Length

2024-04-30T04:34:23.547589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:23.624393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 80
50.0%
식품판매업 80
50.0%

좌표정보(X)
Real number (ℝ)

Distinct67
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192846.35
Minimum190377.3
Maximum195358.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:34:23.707422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190377.3
5-th percentile191590.17
Q1192318.38
median192778.4
Q3193274.51
95-th percentile194431.42
Maximum195358.54
Range4981.2377
Interquartile range (IQR)956.1269

Descriptive statistics

Standard deviation885.41131
Coefficient of variation (CV)0.0045912785
Kurtosis0.85635018
Mean192846.35
Median Absolute Deviation (MAD)493.97254
Skewness0.45050758
Sum15427708
Variance783953.19
MonotonicityNot monotonic
2024-04-30T04:34:23.816902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192437.7781002 3
 
3.8%
194062.893198282 3
 
3.8%
191443.263569218 2
 
2.5%
193025.307065628 2
 
2.5%
191590.16728223 2
 
2.5%
195358.535748819 2
 
2.5%
193293.119938186 2
 
2.5%
193120.784460028 2
 
2.5%
194448.398672243 2
 
2.5%
192116.970798115 2
 
2.5%
Other values (57) 58
72.5%
ValueCountFrequency (%)
190377.298071187 1
1.2%
191443.263569218 2
2.5%
191590.16728223 2
2.5%
191638.801071294 1
1.2%
191743.749980512 1
1.2%
191744.173047419 1
1.2%
191764.296575256 1
1.2%
191843.586242568 1
1.2%
191954.659043173 1
1.2%
192023.767867284 1
1.2%
ValueCountFrequency (%)
195358.535748819 2
2.5%
194448.398672243 2
2.5%
194430.530275405 1
 
1.2%
194410.448211681 1
 
1.2%
194062.893198282 3
3.8%
194002.701726955 1
 
1.2%
193858.186307928 1
 
1.2%
193826.93724717 1
 
1.2%
193783.843930902 1
 
1.2%
193756.944997779 1
 
1.2%

좌표정보(Y)
Real number (ℝ)

Distinct67
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455754.2
Minimum453041.7
Maximum461455.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-30T04:34:23.933589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453041.7
5-th percentile453729.6
Q1454266.62
median455681.35
Q3456742.88
95-th percentile458122.05
Maximum461455.88
Range8414.177
Interquartile range (IQR)2476.2582

Descriptive statistics

Standard deviation1683.0115
Coefficient of variation (CV)0.0036928053
Kurtosis1.6478823
Mean455754.2
Median Absolute Deviation (MAD)1220.6277
Skewness0.9485306
Sum36460336
Variance2832527.7
MonotonicityNot monotonic
2024-04-30T04:34:24.055565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454562.94811711 3
 
3.8%
457702.205780103 3
 
3.8%
453041.699561006 2
 
2.5%
458122.045864837 2
 
2.5%
456742.875968918 2
 
2.5%
461455.876513588 2
 
2.5%
455308.963057927 2
 
2.5%
456238.65857545 2
 
2.5%
455307.844091867 2
 
2.5%
454202.745828975 2
 
2.5%
Other values (57) 58
72.5%
ValueCountFrequency (%)
453041.699561006 2
2.5%
453568.659318998 1
1.2%
453598.26379729 1
1.2%
453736.507683278 1
1.2%
453801.612125788 1
1.2%
453818.675397979 1
1.2%
453858.763881097 1
1.2%
453890.075009714 1
1.2%
453895.90775095 1
1.2%
453909.755021235 2
2.5%
ValueCountFrequency (%)
461455.876513588 2
2.5%
459318.404757978 1
 
1.2%
458122.045864837 2
2.5%
457888.805212141 1
 
1.2%
457702.205780103 3
3.8%
457677.582534524 1
 
1.2%
457658.579668108 1
 
1.2%
457407.199431122 1
 
1.2%
457283.473322204 1
 
1.2%
457276.553610503 1
 
1.2%

위생업태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
집단급식소 식품판매업
62 
<NA>
18 

Length

Max length11
Median length11
Mean length9.425
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 62
77.5%
<NA> 18
 
22.5%

Length

2024-04-30T04:34:24.167233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:24.262752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 62
43.7%
식품판매업 62
43.7%
na 18
 
12.7%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:34:24.354177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:24.450972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:34:24.563448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:24.656879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

급수시설구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
65 
상수도전용
15 

Length

Max length5
Median length4
Mean length4.1875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
81.2%
상수도전용 15
 
18.8%

Length

2024-04-30T04:34:24.742592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:24.831285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
81.2%
상수도전용 15
 
18.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:34:24.928990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:25.025590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

본사종업원수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
60 
0
20 

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
75.0%
0 20
 
25.0%

Length

2024-04-30T04:34:25.120908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:25.207564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
75.0%
0 20
 
25.0%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
59 
0
18 
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.2125
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
73.8%
0 18
 
22.5%
1 2
 
2.5%
2 1
 
1.2%

Length

2024-04-30T04:34:25.301288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:25.398943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
73.8%
0 18
 
22.5%
1 2
 
2.5%
2 1
 
1.2%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
59 
0
16 
1
 
3
2
 
2

Length

Max length4
Median length4
Mean length3.2125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
73.8%
0 16
 
20.0%
1 3
 
3.8%
2 2
 
2.5%

Length

2024-04-30T04:34:25.499471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:25.589000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
73.8%
0 16
 
20.0%
1 3
 
3.8%
2 2
 
2.5%

공장생산직종업원수
Categorical

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
60 
0
16 
1
 
3
6
 
1

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
75.0%
0 16
 
20.0%
1 3
 
3.8%
6 1
 
1.2%

Length

2024-04-30T04:34:25.693102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:25.781747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
75.0%
0 16
 
20.0%
1 3
 
3.8%
6 1
 
1.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
44 
임대
30 
자가
6 

Length

Max length4
Median length4
Mean length3.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
55.0%
임대 30
37.5%
자가 6
 
7.5%

Length

2024-04-30T04:34:25.877289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:25.973068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
55.0%
임대 30
37.5%
자가 6
 
7.5%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:34:26.062791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:26.143208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
78 
0
 
2

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
97.5%
0 2
 
2.5%

Length

2024-04-30T04:34:26.224389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:26.312004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
97.5%
0 2
 
2.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.6%
Missing18
Missing (%)22.5%
Memory size292.0 B
False
62 
(Missing)
18 
ValueCountFrequency (%)
False 62
77.5%
(Missing) 18
 
22.5%
2024-04-30T04:34:26.385423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
0.0
58 
<NA>
18 
6.54
 
1
36.4
 
1
27.0
 
1

Length

Max length4
Median length3
Mean length3.275
Min length3

Unique

Unique4 ?
Unique (%)5.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 58
72.5%
<NA> 18
 
22.5%
6.54 1
 
1.2%
36.4 1
 
1.2%
27.0 1
 
1.2%
17.0 1
 
1.2%

Length

2024-04-30T04:34:26.467838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:34:26.568204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 58
72.5%
na 18
 
22.5%
6.54 1
 
1.2%
36.4 1
 
1.2%
27.0 1
 
1.2%
17.0 1
 
1.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-122-2008-0000120080407<NA>1영업/정상1영업<NA><NA><NA><NA>02 383 0837533.72122958서울특별시 은평구 갈현동 326-29서울특별시 은평구 서오릉로24길 11 (갈현동)3327주식회사 이루델2012-02-16 17:50:06I2018-08-31 23:59:59.0집단급식소 식품판매업191744.173047457283.473322집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
131100003110000-122-2008-0000220080410<NA>3폐업2폐업20090121<NA><NA><NA>02 304 5685<NA>122900서울특별시 은평구 역촌동 58-9 외 1필지 부호아파트 102동 01호, 02호<NA><NA>제일상사2008-04-10 14:43:50I2018-08-31 23:59:59.0집단급식소 식품판매업192197.326154455753.548929집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
231100003110000-122-2008-0000320080804<NA>3폐업2폐업20100210<NA><NA><NA><NA>9.0122918서울특별시 은평구 응암동 334-9 외3필지 1층104호<NA><NA>한양유통2008-08-04 15:25:18I2018-08-31 23:59:59.0집단급식소 식품판매업192785.169895454220.861745집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
331100003110000-122-2008-0000420080822<NA>3폐업2폐업20101229<NA><NA><NA>02 383 884866.0122834서울특별시 은평구 녹번동 177-1<NA><NA>리치보그2010-12-29 17:27:23I2018-08-31 23:59:59.0집단급식소 식품판매업193019.737864455609.158454집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
431100003110000-122-2008-0000520080908<NA>3폐업2폐업20140529<NA><NA><NA>02 382 979634.0122908서울특별시 은평구 응암동 99-19 1층서울특별시 은평구 은평로12길 8-9, 1층 (응암동)3462세원식품2014-04-14 10:38:32I2018-08-31 23:59:59.0집단급식소 식품판매업193293.119938455308.963058집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
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