Overview

Dataset statistics

Number of variables44
Number of observations55
Missing cells648
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory380.4 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18043/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (77.5%)Imbalance
여성종사자수 is highly imbalanced (77.5%)Imbalance
총인원 is highly imbalanced (77.5%)Imbalance
보증액 is highly imbalanced (77.5%)Imbalance
월세액 is highly imbalanced (77.5%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 27 (49.1%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 36 (65.5%) missing valuesMissing
도로명주소 has 6 (10.9%) missing valuesMissing
도로명우편번호 has 6 (10.9%) missing valuesMissing
좌표정보(X) has 1 (1.8%) missing valuesMissing
좌표정보(Y) has 1 (1.8%) missing valuesMissing
영업장주변구분명 has 55 (100.0%) missing valuesMissing
등급구분명 has 55 (100.0%) missing valuesMissing
급수시설구분명 has 53 (96.4%) missing valuesMissing
다중이용업소여부 has 23 (41.8%) missing valuesMissing
전통업소지정번호 has 55 (100.0%) missing valuesMissing
전통업소주된음식 has 55 (100.0%) missing valuesMissing
홈페이지 has 55 (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
소재지면적 has 1 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-11 04:18:06.852939
Analysis finished2024-05-11 04:18:08.058522
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3160000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 55
100.0%

Length

2024-05-11T04:18:08.257767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:08.592622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T04:18:09.014381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1210
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

Unique55 ?
Unique (%)100.0%

Sample

1st row3160000-122-2008-00001
2nd row3160000-122-2008-00002
3rd row3160000-122-2008-00003
4th row3160000-122-2008-00004
5th row3160000-122-2009-00001
ValueCountFrequency (%)
3160000-122-2008-00001 1
 
1.8%
3160000-122-2018-00001 1
 
1.8%
3160000-122-2019-00001 1
 
1.8%
3160000-122-2019-00002 1
 
1.8%
3160000-122-2020-00001 1
 
1.8%
3160000-122-2020-00002 1
 
1.8%
3160000-122-2021-00001 1
 
1.8%
3160000-122-2021-00002 1
 
1.8%
3160000-122-2021-00003 1
 
1.8%
3160000-122-2022-00001 1
 
1.8%
Other values (45) 45
81.8%
2024-05-11T04:18:09.953127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 504
41.7%
2 206
17.0%
- 165
 
13.6%
1 162
 
13.4%
3 75
 
6.2%
6 59
 
4.9%
4 14
 
1.2%
8 7
 
0.6%
5 7
 
0.6%
9 6
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1045
86.4%
Dash Punctuation 165
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 504
48.2%
2 206
19.7%
1 162
 
15.5%
3 75
 
7.2%
6 59
 
5.6%
4 14
 
1.3%
8 7
 
0.7%
5 7
 
0.7%
9 6
 
0.6%
7 5
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 504
41.7%
2 206
17.0%
- 165
 
13.6%
1 162
 
13.4%
3 75
 
6.2%
6 59
 
4.9%
4 14
 
1.2%
8 7
 
0.6%
5 7
 
0.6%
9 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 504
41.7%
2 206
17.0%
- 165
 
13.6%
1 162
 
13.4%
3 75
 
6.2%
6 59
 
4.9%
4 14
 
1.2%
8 7
 
0.6%
5 7
 
0.6%
9 6
 
0.5%

인허가일자
Date

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2008-03-20 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T04:18:10.376585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:18:10.871552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
3
28 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 28
50.9%
1 27
49.1%

Length

2024-05-11T04:18:11.349093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:11.676112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 28
50.9%
1 27
49.1%

영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
폐업
28 
영업/정상
27 

Length

Max length5
Median length2
Mean length3.4727273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
50.9%
영업/정상 27
49.1%

Length

2024-05-11T04:18:12.058895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:12.568141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
50.9%
영업/정상 27
49.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
2
28 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 28
50.9%
1 27
49.1%

Length

2024-05-11T04:18:12.903397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:13.254261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
50.9%
1 27
49.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
폐업
28 
영업
27 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
50.9%
영업 27
49.1%

Length

2024-05-11T04:18:13.619832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:13.953887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
50.9%
영업 27
49.1%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)92.9%
Missing27
Missing (%)49.1%
Memory size572.0 B
Minimum2009-01-29 00:00:00
Maximum2024-01-11 00:00:00
2024-05-11T04:18:14.366327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:18:14.786342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing36
Missing (%)65.5%
Memory size572.0 B
2024-05-11T04:18:15.234820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.263158
Min length8

Characters and Unicode

Total characters214
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

Unique19 ?
Unique (%)100.0%

Sample

1st row02 20603015
2nd row02 20601100
3rd row02 26142337
4th row02 862 1304
5th row02 851 5745
ValueCountFrequency (%)
02 10
27.8%
070 2
 
5.6%
9200 1
 
2.8%
624 1
 
2.8%
031 1
 
2.8%
26136584 1
 
2.8%
07077812727 1
 
2.8%
0220606987 1
 
2.8%
26813777 1
 
2.8%
46072701 1
 
2.8%
Other values (16) 16
44.4%
2024-05-11T04:18:16.331816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
19.6%
2 34
15.9%
27
12.6%
6 23
10.7%
1 19
8.9%
7 17
7.9%
8 15
 
7.0%
5 12
 
5.6%
4 9
 
4.2%
3 8
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 187
87.4%
Space Separator 27
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
22.5%
2 34
18.2%
6 23
12.3%
1 19
10.2%
7 17
9.1%
8 15
 
8.0%
5 12
 
6.4%
4 9
 
4.8%
3 8
 
4.3%
9 8
 
4.3%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
19.6%
2 34
15.9%
27
12.6%
6 23
10.7%
1 19
8.9%
7 17
7.9%
8 15
 
7.0%
5 12
 
5.6%
4 9
 
4.2%
3 8
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
19.6%
2 34
15.9%
27
12.6%
6 23
10.7%
1 19
8.9%
7 17
7.9%
8 15
 
7.0%
5 12
 
5.6%
4 9
 
4.2%
3 8
 
3.7%

소재지면적
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.295273
Minimum0
Maximum327.5
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T04:18:16.842869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.21
Q116.95
median33
Q366
95-th percentile157.507
Maximum327.5
Range327.5
Interquartile range (IQR)49.05

Descriptive statistics

Standard deviation61.366227
Coefficient of variation (CV)1.1514385
Kurtosis7.3339555
Mean53.295273
Median Absolute Deviation (MAD)17.88
Skewness2.4552804
Sum2931.24
Variance3765.8139
MonotonicityNot monotonic
2024-05-11T04:18:17.354074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 3
 
5.5%
16.2 2
 
3.6%
18.0 2
 
3.6%
66.0 2
 
3.6%
16.8 1
 
1.8%
15.12 1
 
1.8%
38.6 1
 
1.8%
72.0 1
 
1.8%
21.14 1
 
1.8%
13.42 1
 
1.8%
Other values (40) 40
72.7%
ValueCountFrequency (%)
0.0 1
1.8%
1.4 1
1.8%
3.0 1
1.8%
3.3 1
1.8%
6.0 1
1.8%
9.9 1
1.8%
10.0 1
1.8%
13.42 1
1.8%
15.0 1
1.8%
15.12 1
1.8%
ValueCountFrequency (%)
327.5 1
1.8%
232.18 1
1.8%
164.5 1
1.8%
154.51 1
1.8%
150.0 1
1.8%
139.2 1
1.8%
123.87 1
1.8%
122.55 1
1.8%
102.0 1
1.8%
89.0 1
1.8%

소재지우편번호
Text

Distinct37
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T04:18:17.998441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3636364
Min length6

Characters and Unicode

Total characters350
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

Unique22 ?
Unique (%)40.0%

Sample

1st row152894
2nd row152833
3rd row152802
4th row152858
5th row152838
ValueCountFrequency (%)
152-848 3
 
5.5%
152-721 3
 
5.5%
152848 3
 
5.5%
152810 2
 
3.6%
152894 2
 
3.6%
152906 2
 
3.6%
152-887 2
 
3.6%
152828 2
 
3.6%
152-814 2
 
3.6%
152883 2
 
3.6%
Other values (27) 32
58.2%
2024-05-11T04:18:19.325908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 72
20.6%
2 65
18.6%
8 64
18.3%
5 63
18.0%
- 20
 
5.7%
4 16
 
4.6%
3 15
 
4.3%
0 12
 
3.4%
7 9
 
2.6%
9 7
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
94.3%
Dash Punctuation 20
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 72
21.8%
2 65
19.7%
8 64
19.4%
5 63
19.1%
4 16
 
4.8%
3 15
 
4.5%
0 12
 
3.6%
7 9
 
2.7%
9 7
 
2.1%
6 7
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 72
20.6%
2 65
18.6%
8 64
18.3%
5 63
18.0%
- 20
 
5.7%
4 16
 
4.6%
3 15
 
4.3%
0 12
 
3.4%
7 9
 
2.6%
9 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 72
20.6%
2 65
18.6%
8 64
18.3%
5 63
18.0%
- 20
 
5.7%
4 16
 
4.6%
3 15
 
4.3%
0 12
 
3.4%
7 9
 
2.6%
9 7
 
2.0%

지번주소
Text

Distinct50
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T04:18:20.211241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length25.763636
Min length19

Characters and Unicode

Total characters1417
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)83.6%

Sample

1st row서울특별시 구로구 오류동 81-20 (경인로 778)
2nd row서울특별시 구로구 고척동 248-6 외1필지(248-7) (가늠골5길4)
3rd row서울특별시 구로구 개봉동 33-132 (잣절길 28)
4th row서울특별시 구로구 구로동 511-38 (반디길16-1)
5th row서울특별시 구로구 구로동 28-1 (은행나무길 12-29)
ValueCountFrequency (%)
서울특별시 55
19.8%
구로구 55
19.8%
구로동 20
 
7.2%
개봉동 12
 
4.3%
고척동 8
 
2.9%
1층 7
 
2.5%
궁동 4
 
1.4%
오류동 4
 
1.4%
212-13 3
 
1.1%
중앙유통단지 3
 
1.1%
Other values (89) 107
38.5%
2024-05-11T04:18:21.566789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
17.7%
구 131
 
9.2%
로 77
 
5.4%
2 63
 
4.4%
동 59
 
4.2%
울 56
 
4.0%
시 55
 
3.9%
별 55
 
3.9%
특 55
 
3.9%
서 55
 
3.9%
Other values (103) 560
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 819
57.8%
Decimal Number 280
 
19.8%
Space Separator 251
 
17.7%
Dash Punctuation 50
 
3.5%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Letter Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 131
16.0%
로 77
 
9.4%
동 59
 
7.2%
울 56
 
6.8%
시 55
 
6.7%
별 55
 
6.7%
특 55
 
6.7%
서 55
 
6.7%
개 12
 
1.5%
봉 12
 
1.5%
Other values (88) 252
30.8%
Decimal Number
ValueCountFrequency (%)
2 63
22.5%
1 53
18.9%
3 40
14.3%
4 25
 
8.9%
8 23
 
8.2%
0 19
 
6.8%
6 19
 
6.8%
9 18
 
6.4%
5 12
 
4.3%
7 8
 
2.9%
Space Separator
ValueCountFrequency (%)
251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
57.8%
Common 595
42.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 131
16.0%
로 77
 
9.4%
동 59
 
7.2%
울 56
 
6.8%
시 55
 
6.7%
별 55
 
6.7%
특 55
 
6.7%
서 55
 
6.7%
개 12
 
1.5%
봉 12
 
1.5%
Other values (88) 252
30.8%
Common
ValueCountFrequency (%)
251
42.2%
2 63
 
10.6%
1 53
 
8.9%
- 50
 
8.4%
3 40
 
6.7%
4 25
 
4.2%
8 23
 
3.9%
0 19
 
3.2%
6 19
 
3.2%
9 18
 
3.0%
Other values (4) 34
 
5.7%
Latin
ValueCountFrequency (%)
Ⅲ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 819
57.8%
ASCII 595
42.0%
Number Forms 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
42.2%
2 63
 
10.6%
1 53
 
8.9%
- 50
 
8.4%
3 40
 
6.7%
4 25
 
4.2%
8 23
 
3.9%
0 19
 
3.2%
6 19
 
3.2%
9 18
 
3.0%
Other values (4) 34
 
5.7%
Hangul
ValueCountFrequency (%)
구 131
16.0%
로 77
 
9.4%
동 59
 
7.2%
울 56
 
6.8%
시 55
 
6.7%
별 55
 
6.7%
특 55
 
6.7%
서 55
 
6.7%
개 12
 
1.5%
봉 12
 
1.5%
Other values (88) 252
30.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
100.0%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)89.8%
Missing6
Missing (%)10.9%
Memory size572.0 B
2024-05-11T04:18:22.593199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length36.204082
Min length26

Characters and Unicode

Total characters1774
Distinct characters121
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)79.6%

Sample

1st row서울특별시 구로구 공원로6나길 49-15 (구로동,(은행나무길 12-29))
2nd row서울특별시 구로구 개봉로3길 55 (개봉동, 삼성쉐르빌 1동 203호)
3rd row서울특별시 구로구 경인로11길 18 (오류동, 1층,3층)
4th row서울특별시 구로구 오리로 1297 (궁동,청파빌딩 1층)
5th row서울특별시 구로구 부일로15길 16 (궁동, 3층)
ValueCountFrequency (%)
서울특별시 49
 
14.6%
구로구 49
 
14.6%
구로동 17
 
5.1%
1층 15
 
4.5%
개봉동 10
 
3.0%
고척동 7
 
2.1%
271 3
 
0.9%
디지털로 3
 
0.9%
4층 3
 
0.9%
중앙유통단지 3
 
0.9%
Other values (134) 176
52.5%
2024-05-11T04:18:23.717617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
16.1%
구 121
 
6.8%
로 121
 
6.8%
1 89
 
5.0%
동 62
 
3.5%
, 53
 
3.0%
울 50
 
2.8%
( 50
 
2.8%
) 50
 
2.8%
시 49
 
2.8%
Other values (111) 843
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1007
56.8%
Decimal Number 309
 
17.4%
Space Separator 286
 
16.1%
Other Punctuation 53
 
3.0%
Open Punctuation 50
 
2.8%
Close Punctuation 50
 
2.8%
Dash Punctuation 13
 
0.7%
Letter Number 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 121
 
12.0%
로 121
 
12.0%
동 62
 
6.2%
울 50
 
5.0%
시 49
 
4.9%
별 49
 
4.9%
특 49
 
4.9%
서 49
 
4.9%
길 40
 
4.0%
호 29
 
2.9%
Other values (93) 388
38.5%
Decimal Number
ValueCountFrequency (%)
1 89
28.8%
2 48
15.5%
0 28
 
9.1%
4 28
 
9.1%
3 27
 
8.7%
5 20
 
6.5%
9 20
 
6.5%
7 19
 
6.1%
6 16
 
5.2%
8 14
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
H 1
33.3%
Space Separator
ValueCountFrequency (%)
286
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1007
56.8%
Common 761
42.9%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 121
 
12.0%
로 121
 
12.0%
동 62
 
6.2%
울 50
 
5.0%
시 49
 
4.9%
별 49
 
4.9%
특 49
 
4.9%
서 49
 
4.9%
길 40
 
4.0%
호 29
 
2.9%
Other values (93) 388
38.5%
Common
ValueCountFrequency (%)
286
37.6%
1 89
 
11.7%
, 53
 
7.0%
( 50
 
6.6%
) 50
 
6.6%
2 48
 
6.3%
0 28
 
3.7%
4 28
 
3.7%
3 27
 
3.5%
5 20
 
2.6%
Other values (5) 82
 
10.8%
Latin
ValueCountFrequency (%)
Ⅲ 3
50.0%
A 2
33.3%
H 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1007
56.8%
ASCII 764
43.1%
Number Forms 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
37.4%
1 89
 
11.6%
, 53
 
6.9%
( 50
 
6.5%
) 50
 
6.5%
2 48
 
6.3%
0 28
 
3.7%
4 28
 
3.7%
3 27
 
3.5%
5 20
 
2.6%
Other values (7) 85
 
11.1%
Hangul
ValueCountFrequency (%)
구 121
 
12.0%
로 121
 
12.0%
동 62
 
6.2%
울 50
 
5.0%
시 49
 
4.9%
별 49
 
4.9%
특 49
 
4.9%
서 49
 
4.9%
길 40
 
4.0%
호 29
 
2.9%
Other values (93) 388
38.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)65.3%
Missing6
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean8291.7143
Minimum8206
Maximum8390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T04:18:24.146722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8206
5-th percentile8217
Q18255
median8285
Q38338
95-th percentile8381
Maximum8390
Range184
Interquartile range (IQR)83

Descriptive statistics

Standard deviation57.162415
Coefficient of variation (CV)0.00689392
Kurtosis-1.1769503
Mean8291.7143
Median Absolute Deviation (MAD)51
Skewness0.22650879
Sum406294
Variance3267.5417
MonotonicityNot monotonic
2024-05-11T04:18:24.762766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8381 4
 
7.3%
8227 3
 
5.5%
8217 3
 
5.5%
8303 2
 
3.6%
8261 2
 
3.6%
8257 2
 
3.6%
8338 2
 
3.6%
8206 2
 
3.6%
8390 2
 
3.6%
8366 2
 
3.6%
Other values (22) 25
45.5%
(Missing) 6
 
10.9%
ValueCountFrequency (%)
8206 2
3.6%
8217 3
5.5%
8218 2
3.6%
8227 3
5.5%
8228 1
 
1.8%
8244 1
 
1.8%
8255 2
3.6%
8256 1
 
1.8%
8257 2
3.6%
8261 2
3.6%
ValueCountFrequency (%)
8390 2
3.6%
8381 4
7.3%
8366 2
3.6%
8360 1
 
1.8%
8353 1
 
1.8%
8346 1
 
1.8%
8338 2
3.6%
8336 1
 
1.8%
8334 1
 
1.8%
8332 2
3.6%

사업장명
Text

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T04:18:25.353614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length7.2
Min length2

Characters and Unicode

Total characters396
Distinct characters136
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

Unique53 ?
Unique (%)96.4%

Sample

1st row미림종합식품
2nd row(주)사옹원
3rd row동원김치양천점
4th row보성쌀유통
5th row가나안농산
ValueCountFrequency (%)
주식회사 8
 
12.1%
원키즈 2
 
3.0%
마미랑 2
 
3.0%
이엠이컴퍼니 1
 
1.5%
지앤와이일렉텍(주 1
 
1.5%
티엠앤플러스 1
 
1.5%
돌봄푸드서울 1
 
1.5%
하이스쿨 1
 
1.5%
서진디스플레이(주 1
 
1.5%
장원유통 1
 
1.5%
Other values (47) 47
71.2%
2024-05-11T04:18:26.666037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 23
 
5.8%
( 18
 
4.5%
) 18
 
4.5%
드 13
 
3.3%
사 13
 
3.3%
푸 13
 
3.3%
식 12
 
3.0%
11
 
2.8%
이 11
 
2.8%
회 10
 
2.5%
Other values (126) 254
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
86.4%
Open Punctuation 18
 
4.5%
Close Punctuation 18
 
4.5%
Space Separator 11
 
2.8%
Lowercase Letter 4
 
1.0%
Uppercase Letter 2
 
0.5%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
6.7%
드 13
 
3.8%
사 13
 
3.8%
푸 13
 
3.8%
식 12
 
3.5%
이 11
 
3.2%
회 10
 
2.9%
유 8
 
2.3%
스 8
 
2.3%
앤 7
 
2.0%
Other values (116) 224
65.5%
Lowercase Letter
ValueCountFrequency (%)
d 1
25.0%
u 1
25.0%
m 1
25.0%
o 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
86.4%
Common 48
 
12.1%
Latin 6
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
6.7%
드 13
 
3.8%
사 13
 
3.8%
푸 13
 
3.8%
식 12
 
3.5%
이 11
 
3.2%
회 10
 
2.9%
유 8
 
2.3%
스 8
 
2.3%
앤 7
 
2.0%
Other values (116) 224
65.5%
Latin
ValueCountFrequency (%)
d 1
16.7%
u 1
16.7%
m 1
16.7%
o 1
16.7%
F 1
16.7%
S 1
16.7%
Common
ValueCountFrequency (%)
( 18
37.5%
) 18
37.5%
11
22.9%
1 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
86.4%
ASCII 54
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 23
 
6.7%
드 13
 
3.8%
사 13
 
3.8%
푸 13
 
3.8%
식 12
 
3.5%
이 11
 
3.2%
회 10
 
2.9%
유 8
 
2.3%
스 8
 
2.3%
앤 7
 
2.0%
Other values (116) 224
65.5%
ASCII
ValueCountFrequency (%)
( 18
33.3%
) 18
33.3%
11
20.4%
d 1
 
1.9%
u 1
 
1.9%
m 1
 
1.9%
1 1
 
1.9%
o 1
 
1.9%
F 1
 
1.9%
S 1
 
1.9%

최종수정일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2008-04-25 18:18:55
Maximum2024-05-09 13:19:52
2024-05-11T04:18:27.109888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:18:27.723634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
35 
U
20 

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 35
63.6%
U 20
36.4%

Length

2024-05-11T04:18:28.295448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:28.637762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
63.6%
u 20
36.4%

데이터갱신일자
Date

Distinct35
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T04:18:28.967146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:18:29.451708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
집단급식소 식품판매업
55 

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 55
100.0%

Length

2024-05-11T04:18:29.940715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:30.283031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 55
50.0%
식품판매업 55
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)77.8%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean187799.38
Minimum183706.58
Maximum190822.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T04:18:30.671861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183706.58
5-th percentile184604.93
Q1186158.48
median187611.05
Q3189829.52
95-th percentile190528.45
Maximum190822.85
Range7116.2752
Interquartile range (IQR)3671.0375

Descriptive statistics

Standard deviation2062.2529
Coefficient of variation (CV)0.010981149
Kurtosis-1.0952768
Mean187799.38
Median Absolute Deviation (MAD)1638.4208
Skewness-0.11844638
Sum10141166
Variance4252887
MonotonicityNot monotonic
2024-05-11T04:18:31.420393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
188840.515865617 3
 
5.5%
190528.450104488 3
 
5.5%
185597.365131252 2
 
3.6%
190365.272470243 2
 
3.6%
186935.464278541 2
 
3.6%
189264.733199482 2
 
3.6%
187619.596959162 2
 
3.6%
186044.943043158 2
 
3.6%
190822.851419439 2
 
3.6%
187275.633555688 2
 
3.6%
Other values (32) 32
58.2%
ValueCountFrequency (%)
183706.576268975 1
1.8%
183791.094699575 1
1.8%
184215.046527558 1
1.8%
184814.867147511 1
1.8%
184832.90891423 1
1.8%
185047.563400122 1
1.8%
185247.604519759 1
1.8%
185597.365131252 2
3.6%
185987.891666718 1
1.8%
186044.943043158 2
3.6%
ValueCountFrequency (%)
190822.851419439 2
3.6%
190528.450104488 3
5.5%
190461.790473157 1
 
1.8%
190394.394227379 1
 
1.8%
190367.201813714 1
 
1.8%
190365.272470243 2
3.6%
190352.185129194 1
 
1.8%
190037.40203946 1
 
1.8%
189934.889608215 1
 
1.8%
189836.893829897 1
 
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)77.8%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean443680.91
Minimum442253.13
Maximum445159.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T04:18:31.905712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442253.13
5-th percentile442264.34
Q1443268.83
median443737.55
Q3444245.69
95-th percentile444794.13
Maximum445159.4
Range2906.2677
Interquartile range (IQR)976.86778

Descriptive statistics

Standard deviation804.85255
Coefficient of variation (CV)0.0018140347
Kurtosis-0.60962392
Mean443680.91
Median Absolute Deviation (MAD)518.21269
Skewness-0.28745326
Sum23958769
Variance647787.62
MonotonicityNot monotonic
2024-05-11T04:18:32.304670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
444306.771104527 3
 
5.5%
442352.770364667 3
 
5.5%
443512.054817763 2
 
3.6%
443661.074882138 2
 
3.6%
443438.56841667 2
 
3.6%
445159.400640086 2
 
3.6%
444186.923109714 2
 
3.6%
442264.341605583 2
 
3.6%
442253.132895893 2
 
3.6%
443142.30517993 2
 
3.6%
Other values (32) 32
58.2%
ValueCountFrequency (%)
442253.132895893 2
3.6%
442264.341605583 2
3.6%
442352.770364667 3
5.5%
442368.090413171 1
 
1.8%
442645.731582689 1
 
1.8%
442649.731777205 1
 
1.8%
442849.437483385 1
 
1.8%
443142.30517993 2
3.6%
443227.124672518 1
 
1.8%
443393.926439771 1
 
1.8%
ValueCountFrequency (%)
445159.400640086 2
3.6%
444801.585741294 1
 
1.8%
444790.111594999 1
 
1.8%
444783.205273821 1
 
1.8%
444775.888454042 1
 
1.8%
444739.302599603 1
 
1.8%
444738.662257803 1
 
1.8%
444407.096461254 1
 
1.8%
444306.771104527 3
5.5%
444274.729874348 1
 
1.8%

위생업태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
집단급식소 식품판매업
32 
<NA>
23 

Length

Max length11
Median length11
Mean length8.0727273
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 32
58.2%
<NA> 23
41.8%

Length

2024-05-11T04:18:32.900460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:33.316057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 32
36.8%
식품판매업 32
36.8%
na 23
26.4%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
0
 
2

Length

Max length4
Median length4
Mean length3.8909091
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> 53
96.4%
0 2
 
3.6%

Length

2024-05-11T04:18:33.695586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:34.007217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
0 2
 
3.6%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
0
 
2

Length

Max length4
Median length4
Mean length3.8909091
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> 53
96.4%
0 2
 
3.6%

Length

2024-05-11T04:18:34.447608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:35.145087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
0 2
 
3.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing53
Missing (%)96.4%
Memory size572.0 B
2024-05-11T04:18:35.613514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
ValueCountFrequency (%)
상수도전용 2
100.0%
2024-05-11T04:18:36.572530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
0
 
2

Length

Max length4
Median length4
Mean length3.8909091
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> 53
96.4%
0 2
 
3.6%

Length

2024-05-11T04:18:37.152066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:37.759260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
0 2
 
3.6%

본사종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
43 
0
12 

Length

Max length4
Median length4
Mean length3.3454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
78.2%
0 12
 
21.8%

Length

2024-05-11T04:18:38.507000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:39.137978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
78.2%
0 12
 
21.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
43 
0
12 

Length

Max length4
Median length4
Mean length3.3454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
78.2%
0 12
 
21.8%

Length

2024-05-11T04:18:39.788193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:40.395864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
78.2%
0 12
 
21.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
43 
0
12 

Length

Max length4
Median length4
Mean length3.3454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
78.2%
0 12
 
21.8%

Length

2024-05-11T04:18:41.047409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:41.523596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
78.2%
0 12
 
21.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
43 
0
12 

Length

Max length4
Median length4
Mean length3.3454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
78.2%
0 12
 
21.8%

Length

2024-05-11T04:18:42.103809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:42.550363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
78.2%
0 12
 
21.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
42 
자가
7 
임대
6 

Length

Max length4
Median length4
Mean length3.5272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
76.4%
자가 7
 
12.7%
임대 6
 
10.9%

Length

2024-05-11T04:18:43.071341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:43.414171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
76.4%
자가 7
 
12.7%
임대 6
 
10.9%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
0
 
2

Length

Max length4
Median length4
Mean length3.8909091
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> 53
96.4%
0 2
 
3.6%

Length

2024-05-11T04:18:43.897241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:44.211594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
0 2
 
3.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
0
 
2

Length

Max length4
Median length4
Mean length3.8909091
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> 53
96.4%
0 2
 
3.6%

Length

2024-05-11T04:18:44.648360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:45.118391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
0 2
 
3.6%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.1%
Missing23
Missing (%)41.8%
Memory size242.0 B
False
32 
(Missing)
23 
ValueCountFrequency (%)
False 32
58.2%
(Missing) 23
41.8%
2024-05-11T04:18:45.545912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
0.0
30 
<NA>
23 
6.63
 
1
6.62
 
1

Length

Max length4
Median length3
Mean length3.4545455
Min length3

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row0.0
2nd row0.0
3rd row6.63
4th row0.0
5th row6.62

Common Values

ValueCountFrequency (%)
0.0 30
54.5%
<NA> 23
41.8%
6.63 1
 
1.8%
6.62 1
 
1.8%

Length

2024-05-11T04:18:46.046760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:46.507388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 30
54.5%
na 23
41.8%
6.63 1
 
1.8%
6.62 1
 
1.8%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031600003160000-122-2008-0000120080320<NA>3폐업2폐업20110411<NA><NA><NA>02 20603015164.5152894서울특별시 구로구 오류동 81-20 (경인로 778)<NA><NA>미림종합식품2008-04-25 18:18:55I2018-08-31 23:59:59.0집단급식소 식품판매업185597.365131443512.054818집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
131600003160000-122-2008-0000220080704<NA>3폐업2폐업20090129<NA><NA><NA>02 20601100154.51152833서울특별시 구로구 고척동 248-6 외1필지(248-7) (가늠골5길4)<NA><NA>(주)사옹원2008-07-15 09:02:24I2018-08-31 23:59:59.0집단급식소 식품판매업<NA><NA>집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
231600003160000-122-2008-0000320080911<NA>3폐업2폐업20110927<NA><NA><NA>02 2614233715.8152802서울특별시 구로구 개봉동 33-132 (잣절길 28)<NA><NA>동원김치양천점2009-05-29 19:21:04I2018-08-31 23:59:59.0집단급식소 식품판매업186122.899785444407.096461집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N6.63<NA><NA><NA>
331600003160000-122-2008-0000420080918<NA>3폐업2폐업20090304<NA><NA><NA>02 862 130430.06152858서울특별시 구로구 구로동 511-38 (반디길16-1)<NA><NA>보성쌀유통2009-01-02 10:32:37I2018-08-31 23:59:59.0집단급식소 식품판매업189807.386241443949.746845집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
431600003160000-122-2009-0000120090122<NA>3폐업2폐업20180306<NA><NA><NA>02 851 574536.2152838서울특별시 구로구 구로동 28-1 (은행나무길 12-29)서울특별시 구로구 공원로6나길 49-15 (구로동,(은행나무길 12-29))8289가나안농산2018-03-06 14:23:38I2018-08-31 23:59:59.0집단급식소 식품판매업190367.201814444783.205274집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N6.62<NA><NA><NA>
531600003160000-122-2009-0000220090527<NA>3폐업2폐업20121031<NA><NA><NA>02 261699850.0152889서울특별시 구로구 오류동 12-1 (부엉이길 58)<NA><NA>경서농협오류지점2009-05-27 15:41:42I2018-08-31 23:59:59.0집단급식소 식품판매업185987.891667443768.526609집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
631600003160000-122-2009-0000320090401<NA>1영업/정상1영업<NA><NA><NA><NA>022699000262.37152815서울특별시 구로구 개봉동 361-2 삼성쉐르빌 1동 203호서울특별시 구로구 개봉로3길 55 (개봉동, 삼성쉐르빌 1동 203호)8353(주)새날푸드2017-09-22 16:38:00I2018-08-31 23:59:59.0집단급식소 식품판매업186941.984068442649.731777집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
731600003160000-122-2011-0000120110209<NA>3폐업2폐업20130404<NA><NA><NA><NA>66.0152816서울특별시 구로구 개봉동 403-222 성암빌딩 401호<NA><NA>(주)한라식품2011-02-09 14:41:30I2018-08-31 23:59:59.0집단급식소 식품판매업187227.656344443393.92644집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
831600003160000-122-2011-0000220110411<NA>1영업/정상1영업<NA><NA><NA><NA>20603016232.18152894서울특별시 구로구 오류동 81-20서울특별시 구로구 경인로11길 18 (오류동, 1층,3층)8255(주)미림종합식품2020-10-15 15:21:46U2020-10-17 02:40:00.0집단급식소 식품판매업185597.365131443512.054818집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
931600003160000-122-2011-0000320110721<NA>3폐업2폐업20160113<NA><NA><NA>070 8725559866.0152885서울특별시 구로구 궁동 283-3 청파빌딩 1층서울특별시 구로구 오리로 1297 (궁동,청파빌딩 1층)8257삼도유통2011-07-21 09:53:56I2018-08-31 23:59:59.0집단급식소 식품판매업184814.867148443904.598219집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
4531600003160000-122-2023-000082023-07-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.0152-130서울특별시 구로구 천왕동 10-10서울특별시 구로구 오리로3길 3, 1층 (천왕동)8366주식회사 원키즈2023-07-24 15:02:26I2022-12-06 22:06:00.0집단급식소 식품판매업186044.943043442264.341606<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4631600003160000-122-2023-000092023-11-10<NA>3폐업2폐업2024-01-04<NA><NA><NA><NA>33.0152-848서울특별시 구로구 구로동 212-13 벽산디지털밸리Ⅲ서울특별시 구로구 디지털로 271, 벽산디지털밸리Ⅲ 208호 (구로동)8381도농상생공공급식협동조합2024-01-04 13:38:28U2023-12-01 00:06:00.0집단급식소 식품판매업190528.450104442352.770365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4731600003160000-122-2023-000102023-12-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.0152-848서울특별시 구로구 구로동 212-13 벽산디지털밸리Ⅲ서울특별시 구로구 디지털로 271, 벽산디지털밸리Ⅲ 208호 (구로동)8381주식회사 우리아이행복밥상2023-12-06 11:29:27I2022-11-02 00:08:00.0집단급식소 식품판매업190528.450104442352.770365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4831600003160000-122-2024-000012024-01-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.1152-866서울특별시 구로구 구로동 636-62 구로유통상가서울특별시 구로구 경인로54길 4, 구로유통상가 A동 H201호 (구로동)8278디앤에이2024-01-08 14:53:43I2023-11-30 23:00:00.0집단급식소 식품판매업189134.15447444274.729874<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4931600003160000-122-2024-000022024-02-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.0152-894서울특별시 구로구 오류동 54-5 하늘쉼빌딩서울특별시 구로구 경인로20가길 5, 하늘쉼빌딩 9층 901-166호 (오류동)8271주식회사 유씨앤2024-02-01 17:22:33I2023-12-02 00:03:00.0집단급식소 식품판매업186144.880821443706.570674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5031600003160000-122-2024-000032024-02-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.02152-721서울특별시 구로구 구로동 1258 중앙유통단지서울특별시 구로구 경인로53길 15, 중앙유통단지 가동 3116호 (구로동)8217지앤와이일렉텍(주)2024-02-13 14:47:42I2023-12-01 23:05:00.0집단급식소 식품판매업188840.515866444306.771105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5131600003160000-122-2024-000042024-02-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1.4152-848서울특별시 구로구 구로동 222-3 제이앤케이디지털타워서울특별시 구로구 디지털로26길 111, 제이앤케이디지털타워 1707호 (구로동)8390이엠이컴퍼니2024-02-15 14:44:38I2023-12-01 23:07:00.0집단급식소 식품판매업190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5231600003160000-122-2024-000052024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>31.14152-721서울특별시 구로구 구로동 1258 중앙유통단지서울특별시 구로구 경인로53길 15, 중앙유통단지 지하1층 제비27-09호 (구로동)8217서진디스플레이(주)2024-02-28 16:20:55I2023-12-03 00:01:00.0집단급식소 식품판매업188840.515866444306.771105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5331600003160000-122-2024-000062024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>45.14152-887서울특별시 구로구 신도림동 396-23서울특별시 구로구 신도림로11길 19, 지층 (신도림동)8206주식회사 티엠앤플러스2024-03-14 17:13:55U2023-12-02 23:06:00.0집단급식소 식품판매업189264.733199445159.40064<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5431600003160000-122-2024-000072024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>24.53152-140서울특별시 구로구 항동 1-5 그린빌라서울특별시 구로구 연동로 287, 제4호 내 제1호 (항동, 그린빌라)8360천태상회2024-05-09 13:19:52I2023-12-04 23:01:00.0집단급식소 식품판매업184215.046528442645.731583<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>