Overview

Dataset statistics

Number of variables44
Number of observations4588
Missing cells41079
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory376.0 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
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-18438/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (99.5%)Imbalance
위생업태명 is highly imbalanced (58.8%)Imbalance
남성종사자수 is highly imbalanced (73.7%)Imbalance
여성종사자수 is highly imbalanced (72.6%)Imbalance
영업장주변구분명 is highly imbalanced (78.8%)Imbalance
등급구분명 is highly imbalanced (73.2%)Imbalance
총인원 is highly imbalanced (76.4%)Imbalance
공장판매직종업원수 is highly imbalanced (54.0%)Imbalance
공장생산직종업원수 is highly imbalanced (59.1%)Imbalance
보증액 is highly imbalanced (71.7%)Imbalance
월세액 is highly imbalanced (71.7%)Imbalance
다중이용업소여부 is highly imbalanced (99.7%)Imbalance
인허가취소일자 has 4588 (100.0%) missing valuesMissing
폐업일자 has 623 (13.6%) missing valuesMissing
휴업시작일자 has 4588 (100.0%) missing valuesMissing
휴업종료일자 has 4588 (100.0%) missing valuesMissing
재개업일자 has 4588 (100.0%) missing valuesMissing
전화번호 has 2835 (61.8%) missing valuesMissing
소재지면적 has 1603 (34.9%) missing valuesMissing
도로명주소 has 1056 (23.0%) missing valuesMissing
도로명우편번호 has 1068 (23.3%) missing valuesMissing
좌표정보(X) has 127 (2.8%) missing valuesMissing
좌표정보(Y) has 127 (2.8%) missing valuesMissing
다중이용업소여부 has 760 (16.6%) missing valuesMissing
시설총규모 has 760 (16.6%) missing valuesMissing
전통업소지정번호 has 4588 (100.0%) missing valuesMissing
전통업소주된음식 has 4588 (100.0%) missing valuesMissing
홈페이지 has 4588 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 55.61857451)Skewed
관리번호 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
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 217 (4.7%) zerosZeros
시설총규모 has 3780 (82.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:43:01.895257
Analysis finished2024-05-11 06:43:03.739369
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
3110000
4588 

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 4588
100.0%

Length

2024-05-11T15:43:03.864004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:03.995552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 4588
100.0%

관리번호
Text

UNIQUE 

Distinct4588
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2024-05-11T15:43:04.252485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters100936
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

Unique4588 ?
Unique (%)100.0%

Sample

1st row3110000-107-1909-00373
2nd row3110000-107-1972-00326
3rd row3110000-107-1972-00330
4th row3110000-107-1972-00331
5th row3110000-107-1972-00338
ValueCountFrequency (%)
3110000-107-1909-00373 1
 
< 0.1%
3110000-107-2019-00287 1
 
< 0.1%
3110000-107-2019-00293 1
 
< 0.1%
3110000-107-2019-00292 1
 
< 0.1%
3110000-107-2019-00291 1
 
< 0.1%
3110000-107-2019-00290 1
 
< 0.1%
3110000-107-2019-00298 1
 
< 0.1%
3110000-107-2019-00288 1
 
< 0.1%
3110000-107-2019-00286 1
 
< 0.1%
3110000-107-2019-00295 1
 
< 0.1%
Other values (4578) 4578
99.8%
2024-05-11T15:43:04.698752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40559
40.2%
1 18753
18.6%
- 13764
 
13.6%
2 7404
 
7.3%
3 6323
 
6.3%
7 6023
 
6.0%
9 2429
 
2.4%
8 1669
 
1.7%
4 1470
 
1.5%
6 1290
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87172
86.4%
Dash Punctuation 13764
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40559
46.5%
1 18753
21.5%
2 7404
 
8.5%
3 6323
 
7.3%
7 6023
 
6.9%
9 2429
 
2.8%
8 1669
 
1.9%
4 1470
 
1.7%
6 1290
 
1.5%
5 1252
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 13764
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40559
40.2%
1 18753
18.6%
- 13764
 
13.6%
2 7404
 
7.3%
3 6323
 
6.3%
7 6023
 
6.0%
9 2429
 
2.4%
8 1669
 
1.7%
4 1470
 
1.5%
6 1290
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40559
40.2%
1 18753
18.6%
- 13764
 
13.6%
2 7404
 
7.3%
3 6323
 
6.3%
7 6023
 
6.0%
9 2429
 
2.4%
8 1669
 
1.7%
4 1470
 
1.5%
6 1290
 
1.3%

인허가일자
Date

Distinct2744
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
Minimum1972-03-24 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:43:04.897919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:05.089979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
3
3965 
1
623 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3965
86.4%
1 623
 
13.6%

Length

2024-05-11T15:43:05.308366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:05.436835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3965
86.4%
1 623
 
13.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
폐업
3965 
영업/정상
623 

Length

Max length5
Median length2
Mean length2.407367
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3965
86.4%
영업/정상 623
 
13.6%

Length

2024-05-11T15:43:05.583632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:05.729008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3965
86.4%
영업/정상 623
 
13.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2
3965 
1
623 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 3965
86.4%
1 623
 
13.6%

Length

2024-05-11T15:43:05.936487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:06.139879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3965
86.4%
1 623
 
13.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
폐업
3965 
영업
623 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3965
86.4%
영업 623
 
13.6%

Length

2024-05-11T15:43:06.336801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:06.485210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3965
86.4%
영업 623
 
13.6%

폐업일자
Date

MISSING 

Distinct2345
Distinct (%)59.1%
Missing623
Missing (%)13.6%
Memory size36.0 KiB
Minimum1996-07-01 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:43:06.656556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:06.875900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

전화번호
Text

MISSING 

Distinct1366
Distinct (%)77.9%
Missing2835
Missing (%)61.8%
Memory size36.0 KiB
2024-05-11T15:43:07.206327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.277809
Min length2

Characters and Unicode

Total characters18017
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

Unique1241 ?
Unique (%)70.8%

Sample

1st row02 3564242
2nd row0203557740
3rd row02
4th row02 3860940
5th row0203872843
ValueCountFrequency (%)
02 1165
33.9%
031 122
 
3.5%
382 27
 
0.8%
355 27
 
0.8%
8654 25
 
0.7%
8454358 23
 
0.7%
4737910 19
 
0.6%
032 19
 
0.6%
070 17
 
0.5%
062 15
 
0.4%
Other values (1464) 1979
57.6%
2024-05-11T15:43:07.784200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3154
17.5%
2 2621
14.5%
3 2405
13.3%
2005
11.1%
5 1507
8.4%
8 1408
7.8%
7 1115
 
6.2%
4 1024
 
5.7%
1 1010
 
5.6%
6 961
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16012
88.9%
Space Separator 2005
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3154
19.7%
2 2621
16.4%
3 2405
15.0%
5 1507
9.4%
8 1408
8.8%
7 1115
 
7.0%
4 1024
 
6.4%
1 1010
 
6.3%
6 961
 
6.0%
9 807
 
5.0%
Space Separator
ValueCountFrequency (%)
2005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18017
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3154
17.5%
2 2621
14.5%
3 2405
13.3%
2005
11.1%
5 1507
8.4%
8 1408
7.8%
7 1115
 
6.2%
4 1024
 
5.7%
1 1010
 
5.6%
6 961
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18017
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3154
17.5%
2 2621
14.5%
3 2405
13.3%
2005
11.1%
5 1507
8.4%
8 1408
7.8%
7 1115
 
6.2%
4 1024
 
5.7%
1 1010
 
5.6%
6 961
 
5.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct952
Distinct (%)31.9%
Missing1603
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean19.106017
Minimum0
Maximum250.43
Zeros217
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2024-05-11T15:43:08.018275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.3
median14.4
Q327.39
95-th percentile52.492
Maximum250.43
Range250.43
Interquartile range (IQR)23.09

Descriptive statistics

Standard deviation20.358922
Coefficient of variation (CV)1.0655765
Kurtosis19.366564
Mean19.106017
Median Absolute Deviation (MAD)11.1
Skewness3.1645038
Sum57031.46
Variance414.48571
MonotonicityNot monotonic
2024-05-11T15:43:08.306412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 340
 
7.4%
0.0 217
 
4.7%
6.6 202
 
4.4%
33.0 73
 
1.6%
6.0 63
 
1.4%
30.0 60
 
1.3%
26.4 55
 
1.2%
10.0 48
 
1.0%
9.9 43
 
0.9%
3.0 34
 
0.7%
Other values (942) 1850
40.3%
(Missing) 1603
34.9%
ValueCountFrequency (%)
0.0 217
4.7%
0.48 1
 
< 0.1%
0.6 2
 
< 0.1%
0.75 1
 
< 0.1%
0.8 1
 
< 0.1%
0.84 1
 
< 0.1%
0.96 2
 
< 0.1%
1.0 1
 
< 0.1%
1.08 3
 
0.1%
1.17 2
 
< 0.1%
ValueCountFrequency (%)
250.43 1
< 0.1%
211.14 1
< 0.1%
203.44 1
< 0.1%
177.0 1
< 0.1%
173.7 1
< 0.1%
172.55 1
< 0.1%
161.63 1
< 0.1%
158.0 1
< 0.1%
146.88 1
< 0.1%
145.64 1
< 0.1%

소재지우편번호
Text

Distinct236
Distinct (%)5.1%
Missing2
Missing (%)< 0.1%
Memory size36.0 KiB
2024-05-11T15:43:08.763385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1133886
Min length6

Characters and Unicode

Total characters28036
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

Unique58 ?
Unique (%)1.3%

Sample

1st row122813
2nd row122837
3rd row122810
4th row122920
5th row122841
ValueCountFrequency (%)
122837 842
18.4%
122200 683
 
14.9%
122906 569
 
12.4%
122859 184
 
4.0%
122873 183
 
4.0%
122-906 108
 
2.4%
122-200 82
 
1.8%
122860 78
 
1.7%
122847 63
 
1.4%
122952 62
 
1.4%
Other values (226) 1732
37.8%
2024-05-11T15:43:09.379798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10403
37.1%
1 5098
18.2%
0 2913
 
10.4%
8 2671
 
9.5%
9 1823
 
6.5%
7 1436
 
5.1%
3 1424
 
5.1%
6 926
 
3.3%
5 533
 
1.9%
- 520
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27516
98.1%
Dash Punctuation 520
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10403
37.8%
1 5098
18.5%
0 2913
 
10.6%
8 2671
 
9.7%
9 1823
 
6.6%
7 1436
 
5.2%
3 1424
 
5.2%
6 926
 
3.4%
5 533
 
1.9%
4 289
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 520
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28036
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10403
37.1%
1 5098
18.2%
0 2913
 
10.4%
8 2671
 
9.5%
9 1823
 
6.5%
7 1436
 
5.1%
3 1424
 
5.1%
6 926
 
3.3%
5 533
 
1.9%
- 520
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10403
37.1%
1 5098
18.2%
0 2913
 
10.4%
8 2671
 
9.5%
9 1823
 
6.5%
7 1436
 
5.1%
3 1424
 
5.1%
6 926
 
3.3%
5 533
 
1.9%
- 520
 
1.9%

지번주소
Text

Distinct2348
Distinct (%)51.2%
Missing2
Missing (%)< 0.1%
Memory size36.0 KiB
2024-05-11T15:43:09.742493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length25.965547
Min length16

Characters and Unicode

Total characters119078
Distinct characters352
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2046 ?
Unique (%)44.6%

Sample

1st row서울특별시 은평구 갈현동 470-11
2nd row서울특별시 은평구 대조동 14-24
3rd row서울특별시 은평구 갈현동 424-16
4th row서울특별시 은평구 응암동 427-111 1층
5th row서울특별시 은평구 대조동 142-0
ValueCountFrequency (%)
은평구 4591
18.8%
서울특별시 4585
18.8%
응암동 1102
 
4.5%
대조동 981
 
4.0%
240 784
 
3.2%
진관동 765
 
3.1%
90-1 682
 
2.8%
은평점 594
 
2.4%
불광동 576
 
2.4%
63 561
 
2.3%
Other values (2207) 9171
37.6%
2024-05-11T15:43:10.282653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23550
19.8%
은 5858
 
4.9%
평 5854
 
4.9%
구 4728
 
4.0%
동 4715
 
4.0%
서 4714
 
4.0%
1 4700
 
3.9%
울 4680
 
3.9%
시 4604
 
3.9%
특 4585
 
3.9%
Other values (342) 51090
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70565
59.3%
Space Separator 23550
 
19.8%
Decimal Number 19146
 
16.1%
Dash Punctuation 2988
 
2.5%
Uppercase Letter 1542
 
1.3%
Open Punctuation 539
 
0.5%
Close Punctuation 538
 
0.5%
Other Punctuation 187
 
0.2%
Lowercase Letter 21
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 5858
 
8.3%
평 5854
 
8.3%
구 4728
 
6.7%
동 4715
 
6.7%
서 4714
 
6.7%
울 4680
 
6.6%
시 4604
 
6.5%
특 4585
 
6.5%
별 4585
 
6.5%
점 1513
 
2.1%
Other values (301) 24729
35.0%
Uppercase Letter
ValueCountFrequency (%)
C 660
42.8%
N 535
34.7%
B 112
 
7.3%
M 79
 
5.1%
D 77
 
5.0%
H 49
 
3.2%
A 9
 
0.6%
E 6
 
0.4%
T 3
 
0.2%
I 2
 
0.1%
Other values (8) 10
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 4700
24.5%
0 2843
14.8%
2 2505
13.1%
3 2024
10.6%
4 1826
 
9.5%
9 1343
 
7.0%
6 1265
 
6.6%
7 945
 
4.9%
5 905
 
4.7%
8 790
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
n 7
33.3%
c 7
33.3%
b 2
 
9.5%
s 2
 
9.5%
e 2
 
9.5%
g 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 186
99.5%
? 1
 
0.5%
Space Separator
ValueCountFrequency (%)
23550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2988
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 538
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70564
59.3%
Common 46950
39.4%
Latin 1563
 
1.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 5858
 
8.3%
평 5854
 
8.3%
구 4728
 
6.7%
동 4715
 
6.7%
서 4714
 
6.7%
울 4680
 
6.6%
시 4604
 
6.5%
특 4585
 
6.5%
별 4585
 
6.5%
점 1513
 
2.1%
Other values (300) 24728
35.0%
Latin
ValueCountFrequency (%)
C 660
42.2%
N 535
34.2%
B 112
 
7.2%
M 79
 
5.1%
D 77
 
4.9%
H 49
 
3.1%
A 9
 
0.6%
n 7
 
0.4%
c 7
 
0.4%
E 6
 
0.4%
Other values (14) 22
 
1.4%
Common
ValueCountFrequency (%)
23550
50.2%
1 4700
 
10.0%
- 2988
 
6.4%
0 2843
 
6.1%
2 2505
 
5.3%
3 2024
 
4.3%
4 1826
 
3.9%
9 1343
 
2.9%
6 1265
 
2.7%
7 945
 
2.0%
Other values (7) 2961
 
6.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70564
59.3%
ASCII 48513
40.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23550
48.5%
1 4700
 
9.7%
- 2988
 
6.2%
0 2843
 
5.9%
2 2505
 
5.2%
3 2024
 
4.2%
4 1826
 
3.8%
9 1343
 
2.8%
6 1265
 
2.6%
7 945
 
1.9%
Other values (31) 4524
 
9.3%
Hangul
ValueCountFrequency (%)
은 5858
 
8.3%
평 5854
 
8.3%
구 4728
 
6.7%
동 4715
 
6.7%
서 4714
 
6.7%
울 4680
 
6.6%
시 4604
 
6.5%
특 4585
 
6.5%
별 4585
 
6.5%
점 1513
 
2.1%
Other values (300) 24728
35.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명주소
Text

MISSING 

Distinct1688
Distinct (%)47.8%
Missing1056
Missing (%)23.0%
Memory size36.0 KiB
2024-05-11T15:43:10.764304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length57
Mean length34.377407
Min length21

Characters and Unicode

Total characters121421
Distinct characters336
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1499 ?
Unique (%)42.4%

Sample

1st row서울특별시 은평구 연서로19길 13 (갈현동)
2nd row서울특별시 은평구 응암로22길 5-14, 1층 (응암동)
3rd row서울특별시 은평구 불광로 14 (대조동,(1층))
4th row서울특별시 은평구 응암로22길 5-11 (응암동)
5th row서울특별시 은평구 가좌로 213-2 (응암동)
ValueCountFrequency (%)
은평구 3536
 
14.2%
서울특별시 3531
 
14.2%
1층 1161
 
4.7%
응암동 818
 
3.3%
통일로 767
 
3.1%
불광로 744
 
3.0%
대조동 731
 
2.9%
진관동 719
 
2.9%
지하1층 677
 
2.7%
20 665
 
2.7%
Other values (1448) 11567
46.4%
2024-05-11T15:43:11.354642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21443
 
17.7%
1 6649
 
5.5%
은 5425
 
4.5%
평 5423
 
4.5%
서 3934
 
3.2%
, 3827
 
3.2%
) 3730
 
3.1%
( 3729
 
3.1%
동 3706
 
3.1%
구 3640
 
3.0%
Other values (326) 59915
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71145
58.6%
Space Separator 21443
 
17.7%
Decimal Number 15701
 
12.9%
Other Punctuation 3827
 
3.2%
Close Punctuation 3730
 
3.1%
Open Punctuation 3729
 
3.1%
Uppercase Letter 1462
 
1.2%
Dash Punctuation 355
 
0.3%
Lowercase Letter 26
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 5425
 
7.6%
평 5423
 
7.6%
서 3934
 
5.5%
동 3706
 
5.2%
구 3640
 
5.1%
시 3550
 
5.0%
울 3550
 
5.0%
특 3531
 
5.0%
별 3531
 
5.0%
로 3526
 
5.0%
Other values (286) 31329
44.0%
Uppercase Letter
ValueCountFrequency (%)
C 630
43.1%
N 535
36.6%
M 95
 
6.5%
D 93
 
6.4%
B 77
 
5.3%
A 10
 
0.7%
G 6
 
0.4%
T 3
 
0.2%
E 3
 
0.2%
S 2
 
0.1%
Other values (8) 8
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 6649
42.3%
2 2652
 
16.9%
0 2437
 
15.5%
5 930
 
5.9%
3 729
 
4.6%
7 623
 
4.0%
4 616
 
3.9%
8 447
 
2.8%
9 324
 
2.1%
6 294
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
n 9
34.6%
c 9
34.6%
s 3
 
11.5%
e 2
 
7.7%
g 2
 
7.7%
b 1
 
3.8%
Space Separator
ValueCountFrequency (%)
21443
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3827
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3730
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71144
58.6%
Common 48788
40.2%
Latin 1488
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 5425
 
7.6%
평 5423
 
7.6%
서 3934
 
5.5%
동 3706
 
5.2%
구 3640
 
5.1%
시 3550
 
5.0%
울 3550
 
5.0%
특 3531
 
5.0%
별 3531
 
5.0%
로 3526
 
5.0%
Other values (285) 31328
44.0%
Latin
ValueCountFrequency (%)
C 630
42.3%
N 535
36.0%
M 95
 
6.4%
D 93
 
6.2%
B 77
 
5.2%
A 10
 
0.7%
n 9
 
0.6%
c 9
 
0.6%
G 6
 
0.4%
T 3
 
0.2%
Other values (14) 21
 
1.4%
Common
ValueCountFrequency (%)
21443
44.0%
1 6649
 
13.6%
, 3827
 
7.8%
) 3730
 
7.6%
( 3729
 
7.6%
2 2652
 
5.4%
0 2437
 
5.0%
5 930
 
1.9%
3 729
 
1.5%
7 623
 
1.3%
Other values (6) 2039
 
4.2%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71144
58.6%
ASCII 50276
41.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21443
42.7%
1 6649
 
13.2%
, 3827
 
7.6%
) 3730
 
7.4%
( 3729
 
7.4%
2 2652
 
5.3%
0 2437
 
4.8%
5 930
 
1.8%
3 729
 
1.4%
C 630
 
1.3%
Other values (30) 3520
 
7.0%
Hangul
ValueCountFrequency (%)
은 5425
 
7.6%
평 5423
 
7.6%
서 3934
 
5.5%
동 3706
 
5.2%
구 3640
 
5.1%
시 3550
 
5.0%
울 3550
 
5.0%
특 3531
 
5.0%
별 3531
 
5.0%
로 3526
 
5.0%
Other values (285) 31328
44.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct188
Distinct (%)5.3%
Missing1068
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean3400.3142
Minimum3300
Maximum21534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2024-05-11T15:43:11.574433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3306
Q13335
median3397
Q33461
95-th percentile3500
Maximum21534
Range18234
Interquartile range (IQR)126

Descriptive statistics

Standard deviation312.37946
Coefficient of variation (CV)0.091867821
Kurtosis3229.4796
Mean3400.3142
Median Absolute Deviation (MAD)64
Skewness55.618575
Sum11969106
Variance97580.925
MonotonicityNot monotonic
2024-05-11T15:43:11.797412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3397 655
14.3%
3306 585
12.8%
3461 569
12.4%
3504 156
 
3.4%
3350 134
 
2.9%
3345 49
 
1.1%
3305 47
 
1.0%
3396 39
 
0.9%
3480 37
 
0.8%
3336 36
 
0.8%
Other values (178) 1213
26.4%
(Missing) 1068
23.3%
ValueCountFrequency (%)
3300 15
 
0.3%
3301 30
 
0.7%
3302 13
 
0.3%
3303 7
 
0.2%
3304 2
 
< 0.1%
3305 47
 
1.0%
3306 585
12.8%
3307 7
 
0.2%
3308 4
 
0.1%
3309 2
 
< 0.1%
ValueCountFrequency (%)
21534 1
 
< 0.1%
3506 1
 
< 0.1%
3505 1
 
< 0.1%
3504 156
3.4%
3502 2
 
< 0.1%
3500 22
 
0.5%
3499 7
 
0.2%
3498 2
 
< 0.1%
3497 7
 
0.2%
3496 5
 
0.1%

사업장명
Text

Distinct2437
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
2024-05-11T15:43:12.094248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length6.2840017
Min length1

Characters and Unicode

Total characters28831
Distinct characters700
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1979 ?
Unique (%)43.1%

Sample

1st row정성한우직판장
2nd row삼화기름집
3rd row송학
4th row광명
5th row현대기름집
ValueCountFrequency (%)
주식회사 389
 
7.0%
더프리미엄 53
 
1.0%
주)마켓인 44
 
0.8%
주)인네이처 43
 
0.8%
신풍특산 38
 
0.7%
주)산내들 37
 
0.7%
수라원 34
 
0.6%
주)미림푸드 33
 
0.6%
로운푸드 33
 
0.6%
농업회사법인 30
 
0.5%
Other values (2638) 4786
86.7%
2024-05-11T15:43:12.921804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1282
 
4.4%
934
 
3.2%
) 921
 
3.2%
( 915
 
3.2%
식 666
 
2.3%
사 636
 
2.2%
이 563
 
2.0%
회 547
 
1.9%
드 540
 
1.9%
푸 476
 
1.7%
Other values (690) 21351
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25301
87.8%
Space Separator 934
 
3.2%
Close Punctuation 921
 
3.2%
Open Punctuation 915
 
3.2%
Uppercase Letter 322
 
1.1%
Lowercase Letter 286
 
1.0%
Other Punctuation 80
 
0.3%
Decimal Number 64
 
0.2%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1282
 
5.1%
식 666
 
2.6%
사 636
 
2.5%
이 563
 
2.2%
회 547
 
2.2%
드 540
 
2.1%
푸 476
 
1.9%
산 446
 
1.8%
원 403
 
1.6%
마 382
 
1.5%
Other values (622) 19360
76.5%
Lowercase Letter
ValueCountFrequency (%)
e 42
14.7%
a 30
 
10.5%
o 26
 
9.1%
f 20
 
7.0%
n 19
 
6.6%
i 17
 
5.9%
r 15
 
5.2%
t 15
 
5.2%
c 12
 
4.2%
s 11
 
3.8%
Other values (14) 79
27.6%
Uppercase Letter
ValueCountFrequency (%)
M 37
 
11.5%
H 26
 
8.1%
O 24
 
7.5%
B 23
 
7.1%
C 21
 
6.5%
F 20
 
6.2%
A 19
 
5.9%
N 17
 
5.3%
J 16
 
5.0%
S 15
 
4.7%
Other values (12) 104
32.3%
Decimal Number
ValueCountFrequency (%)
2 12
18.8%
1 12
18.8%
6 9
14.1%
5 7
10.9%
3 7
10.9%
9 6
9.4%
4 4
 
6.2%
7 4
 
6.2%
0 3
 
4.7%
Other Punctuation
ValueCountFrequency (%)
& 50
62.5%
? 10
 
12.5%
, 9
 
11.2%
' 4
 
5.0%
! 3
 
3.8%
. 3
 
3.8%
# 1
 
1.2%
Space Separator
ValueCountFrequency (%)
934
100.0%
Close Punctuation
ValueCountFrequency (%)
) 921
100.0%
Open Punctuation
ValueCountFrequency (%)
( 915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25296
87.7%
Common 2921
 
10.1%
Latin 608
 
2.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1282
 
5.1%
식 666
 
2.6%
사 636
 
2.5%
이 563
 
2.2%
회 547
 
2.2%
드 540
 
2.1%
푸 476
 
1.9%
산 446
 
1.8%
원 403
 
1.6%
마 382
 
1.5%
Other values (617) 19355
76.5%
Latin
ValueCountFrequency (%)
e 42
 
6.9%
M 37
 
6.1%
a 30
 
4.9%
H 26
 
4.3%
o 26
 
4.3%
O 24
 
3.9%
B 23
 
3.8%
C 21
 
3.5%
F 20
 
3.3%
f 20
 
3.3%
Other values (36) 339
55.8%
Common
ValueCountFrequency (%)
934
32.0%
) 921
31.5%
( 915
31.3%
& 50
 
1.7%
2 12
 
0.4%
1 12
 
0.4%
? 10
 
0.3%
, 9
 
0.3%
6 9
 
0.3%
5 7
 
0.2%
Other values (11) 42
 
1.4%
Han
ValueCountFrequency (%)
內 1
16.7%
音 1
16.7%
波 1
16.7%
家 1
16.7%
穩 1
16.7%
情 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25292
87.7%
ASCII 3529
 
12.2%
CJK 6
 
< 0.1%
Compat Jamo 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1282
 
5.1%
식 666
 
2.6%
사 636
 
2.5%
이 563
 
2.2%
회 547
 
2.2%
드 540
 
2.1%
푸 476
 
1.9%
산 446
 
1.8%
원 403
 
1.6%
마 382
 
1.5%
Other values (615) 19351
76.5%
ASCII
ValueCountFrequency (%)
934
26.5%
) 921
26.1%
( 915
25.9%
& 50
 
1.4%
e 42
 
1.2%
M 37
 
1.0%
a 30
 
0.9%
H 26
 
0.7%
o 26
 
0.7%
O 24
 
0.7%
Other values (57) 524
14.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 3
100.0%
CJK
ValueCountFrequency (%)
內 1
16.7%
音 1
16.7%
波 1
16.7%
家 1
16.7%
穩 1
16.7%
情 1
16.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct3236
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
Minimum1999-01-14 00:00:00
Maximum2024-05-09 15:01:42
2024-05-11T15:43:13.099038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:13.263300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
I
2621 
U
1967 

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 2621
57.1%
U 1967
42.9%

Length

2024-05-11T15:43:13.445290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:13.557897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2621
57.1%
u 1967
42.9%

데이터갱신일자
Date

Distinct1175
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:08:00
2024-05-11T15:43:13.694799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:13.843125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
즉석판매제조가공업
4586 
기타
 
2

Length

Max length9
Median length9
Mean length8.9969486
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 4586
> 99.9%
기타 2
 
< 0.1%

Length

2024-05-11T15:43:13.998592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:14.113160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 4586
> 99.9%
기타 2
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1276
Distinct (%)28.6%
Missing127
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean192899.35
Minimum175265.37
Maximum195827.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2024-05-11T15:43:14.249321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175265.37
5-th percentile190977.85
Q1192694.92
median192882.84
Q3193558.14
95-th percentile193780.02
Maximum195827.08
Range20561.709
Interquartile range (IQR)863.21681

Descriptive statistics

Standard deviation760.90528
Coefficient of variation (CV)0.0039445715
Kurtosis65.36977
Mean192899.35
Median Absolute Deviation (MAD)308.03085
Skewness-3.5432488
Sum8.6052401 × 108
Variance578976.85
MonotonicityNot monotonic
2024-05-11T15:43:14.410671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193661.732383169 783
 
17.1%
192882.837727443 640
 
13.9%
192798.659161134 513
 
11.2%
193035.279146132 226
 
4.9%
190977.850603548 165
 
3.6%
192694.92374224 48
 
1.0%
192752.342434808 41
 
0.9%
194002.701726955 41
 
0.9%
193780.021994218 23
 
0.5%
192998.202204135 22
 
0.5%
Other values (1266) 1959
42.7%
(Missing) 127
 
2.8%
ValueCountFrequency (%)
175265.373686165 1
 
< 0.1%
189736.227998038 1
 
< 0.1%
189829.087500223 1
 
< 0.1%
190066.046208839 1
 
< 0.1%
190083.674433147 1
 
< 0.1%
190152.652347372 1
 
< 0.1%
190351.645961986 1
 
< 0.1%
190355.24067022 1
 
< 0.1%
190470.571086776 3
0.1%
190484.918037096 1
 
< 0.1%
ValueCountFrequency (%)
195827.082642573 1
 
< 0.1%
195390.386449944 1
 
< 0.1%
195358.535748819 4
0.1%
195255.182933754 1
 
< 0.1%
194604.579985907 1
 
< 0.1%
194507.485754764 1
 
< 0.1%
194453.385154437 1
 
< 0.1%
194370.348718 1
 
< 0.1%
194367.970247735 1
 
< 0.1%
194365.924026082 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1276
Distinct (%)28.6%
Missing127
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean456459.47
Minimum438940.08
Maximum461719.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2024-05-11T15:43:14.565393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438940.08
5-th percentile453414.89
Q1455340.54
median456379.19
Q3457365.91
95-th percentile459646.83
Maximum461719.03
Range22778.949
Interquartile range (IQR)2025.3712

Descriptive statistics

Standard deviation1828.1553
Coefficient of variation (CV)0.004005077
Kurtosis1.4158739
Mean456459.47
Median Absolute Deviation (MAD)1038.6533
Skewness0.11674397
Sum2.0362657 × 109
Variance3342152
MonotonicityNot monotonic
2024-05-11T15:43:14.737467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456379.193899276 783
 
17.1%
455340.54056388 640
 
13.9%
459646.827222065 513
 
11.2%
457365.911737494 226
 
4.9%
453037.787995874 165
 
3.6%
459461.236119623 48
 
1.0%
459116.166371111 41
 
0.9%
456937.542510222 41
 
0.9%
455491.212588847 23
 
0.5%
457479.99522553 22
 
0.5%
Other values (1266) 1959
42.7%
(Missing) 127
 
2.8%
ValueCountFrequency (%)
438940.080096403 1
 
< 0.1%
452946.246733537 2
 
< 0.1%
452989.615069707 1
 
< 0.1%
453037.787995874 165
3.6%
453041.699561006 1
 
< 0.1%
453085.697386061 1
 
< 0.1%
453156.773550025 1
 
< 0.1%
453162.844280292 1
 
< 0.1%
453177.63932035 12
 
0.3%
453218.633734314 1
 
< 0.1%
ValueCountFrequency (%)
461719.028640821 1
 
< 0.1%
461485.037749866 1
 
< 0.1%
461455.876513588 4
0.1%
461392.702276946 1
 
< 0.1%
461159.570048582 1
 
< 0.1%
460623.370836706 3
0.1%
460518.839422473 3
0.1%
460413.01992851 1
 
< 0.1%
460400.65152903 2
< 0.1%
460316.757008927 4
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
즉석판매제조가공업
3826 
<NA>
760 
기타
 
2

Length

Max length9
Median length9
Mean length8.168701
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 3826
83.4%
<NA> 760
 
16.6%
기타 2
 
< 0.1%

Length

2024-05-11T15:43:14.991963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:15.186239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 3826
83.4%
na 760
 
16.6%
기타 2
 
< 0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4021 
0
 
350
1
 
202
2
 
11
3
 
3

Length

Max length4
Median length4
Mean length3.6292502
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 4021
87.6%
0 350
 
7.6%
1 202
 
4.4%
2 11
 
0.2%
3 3
 
0.1%
4 1
 
< 0.1%

Length

2024-05-11T15:43:15.342144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:15.503198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4021
87.6%
0 350
 
7.6%
1 202
 
4.4%
2 11
 
0.2%
3 3
 
0.1%
4 1
 
< 0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4042 
0
 
394
1
 
147
2
 
3
3
 
2

Length

Max length4
Median length4
Mean length3.6429817
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 4042
88.1%
0 394
 
8.6%
1 147
 
3.2%
2 3
 
0.1%
3 2
 
< 0.1%

Length

2024-05-11T15:43:15.658236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:15.798174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4042
88.1%
0 394
 
8.6%
1 147
 
3.2%
2 3
 
0.1%
3 2
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4132 
주택가주변
 
297
기타
 
129
유흥업소밀집지역
 
13
아파트지역
 
13
Other values (2)
 
4

Length

Max length8
Median length4
Mean length4.0257193
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row기타
3rd row주택가주변
4th row기타
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 4132
90.1%
주택가주변 297
 
6.5%
기타 129
 
2.8%
유흥업소밀집지역 13
 
0.3%
아파트지역 13
 
0.3%
학교정화(상대) 2
 
< 0.1%
결혼예식장주변 2
 
< 0.1%

Length

2024-05-11T15:43:15.957231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:16.099267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4132
90.1%
주택가주변 297
 
6.5%
기타 129
 
2.8%
유흥업소밀집지역 13
 
0.3%
아파트지역 13
 
0.3%
학교정화(상대 2
 
< 0.1%
결혼예식장주변 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4132 
자율
 
274
을
 
84
기타
 
70
우수
 
28

Length

Max length4
Median length4
Mean length3.7829119
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자율
2nd row기타
3rd row을
4th row을
5th row을

Common Values

ValueCountFrequency (%)
<NA> 4132
90.1%
자율 274
 
6.0%
을 84
 
1.8%
기타 70
 
1.5%
우수 28
 
0.6%

Length

2024-05-11T15:43:16.269017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:16.401643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4132
90.1%
자율 274
 
6.0%
을 84
 
1.8%
기타 70
 
1.5%
우수 28
 
0.6%

급수시설구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
3497 
상수도전용
1090 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.2404098
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3497
76.2%
상수도전용 1090
 
23.8%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

Length

2024-05-11T15:43:16.549402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:16.711349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3497
76.2%
상수도전용 1090
 
23.8%
상수도(음용)지하수(주방용)겸용 1
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4411 
0
 
177

Length

Max length4
Median length4
Mean length3.8842633
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> 4411
96.1%
0 177
 
3.9%

Length

2024-05-11T15:43:16.920852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:17.066556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4411
96.1%
0 177
 
3.9%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
3459 
0
1129 

Length

Max length4
Median length4
Mean length3.2617698
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3459
75.4%
0 1129
 
24.6%

Length

2024-05-11T15:43:17.246164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:17.412889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3459
75.4%
0 1129
 
24.6%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
3456 
0
1129 
1
 
3

Length

Max length4
Median length4
Mean length3.2598082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3456
75.3%
0 1129
 
24.6%
1 3
 
0.1%

Length

2024-05-11T15:43:17.567853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:17.710395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3456
75.3%
0 1129
 
24.6%
1 3
 
0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
3398 
0
1117 
1
 
66
2
 
7

Length

Max length4
Median length4
Mean length3.2218832
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3398
74.1%
0 1117
 
24.3%
1 66
 
1.4%
2 7
 
0.2%

Length

2024-05-11T15:43:17.852103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:17.986188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3398
74.1%
0 1117
 
24.3%
1 66
 
1.4%
2 7
 
0.2%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
3383 
0
1111 
1
 
78
2
 
14
3
 
2

Length

Max length4
Median length4
Mean length3.212075
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3383
73.7%
0 1111
 
24.2%
1 78
 
1.7%
2 14
 
0.3%
3 2
 
< 0.1%

Length

2024-05-11T15:43:18.128476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:18.260658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3383
73.7%
0 1111
 
24.2%
1 78
 
1.7%
2 14
 
0.3%
3 2
 
< 0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
2998 
임대
1110 
자가
480 

Length

Max length4
Median length4
Mean length3.3068875
Min length2

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> 2998
65.3%
임대 1110
 
24.2%
자가 480
 
10.5%

Length

2024-05-11T15:43:18.418286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:18.544559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2998
65.3%
임대 1110
 
24.2%
자가 480
 
10.5%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4162 
0
425 
20000000
 
1

Length

Max length8
Median length4
Mean length3.722973
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4162
90.7%
0 425
 
9.3%
20000000 1
 
< 0.1%

Length

2024-05-11T15:43:18.677098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:18.800204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4162
90.7%
0 425
 
9.3%
20000000 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size36.0 KiB
<NA>
4162 
0
425 
400000
 
1

Length

Max length6
Median length4
Mean length3.7225371
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4162
90.7%
0 425
 
9.3%
400000 1
 
< 0.1%

Length

2024-05-11T15:43:18.924076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:19.041599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4162
90.7%
0 425
 
9.3%
400000 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing760
Missing (%)16.6%
Memory size9.1 KiB
False
3827 
True
 
1
(Missing)
760 
ValueCountFrequency (%)
False 3827
83.4%
True 1
 
< 0.1%
(Missing) 760
 
16.6%
2024-05-11T15:43:19.146407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)1.2%
Missing760
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean0.28131139
Minimum0
Maximum80
Zeros3780
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size40.5 KiB
2024-05-11T15:43:19.274582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1718683
Coefficient of variation (CV)11.275293
Kurtosis272.03668
Mean0.28131139
Median Absolute Deviation (MAD)0
Skewness15.103224
Sum1076.86
Variance10.060748
MonotonicityNot monotonic
2024-05-11T15:43:19.442984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 3780
82.4%
16.5 2
 
< 0.1%
30.0 2
 
< 0.1%
3.3 2
 
< 0.1%
23.0 2
 
< 0.1%
6.6 1
 
< 0.1%
20.65 1
 
< 0.1%
20.32 1
 
< 0.1%
20.0 1
 
< 0.1%
28.05 1
 
< 0.1%
Other values (35) 35
 
0.8%
(Missing) 760
 
16.6%
ValueCountFrequency (%)
0.0 3780
82.4%
1.0 1
 
< 0.1%
3.0 1
 
< 0.1%
3.3 2
 
< 0.1%
4.0 1
 
< 0.1%
5.0 1
 
< 0.1%
6.0 1
 
< 0.1%
6.3 1
 
< 0.1%
6.6 1
 
< 0.1%
7.0 1
 
< 0.1%
ValueCountFrequency (%)
80.0 1
< 0.1%
66.0 1
< 0.1%
62.77 1
< 0.1%
56.54 1
< 0.1%
50.0 1
< 0.1%
43.0 1
< 0.1%
42.98 1
< 0.1%
34.4 1
< 0.1%
32.59 1
< 0.1%
30.01 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4588
Missing (%)100.0%
Memory size40.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-107-1909-0037319980721<NA>3폐업2폐업20180108<NA><NA><NA>02 356424230.2122813서울특별시 은평구 갈현동 470-11서울특별시 은평구 연서로19길 13 (갈현동)3336정성한우직판장2018-01-08 14:43:30I2018-08-31 23:59:59.0즉석판매제조가공업192505.548983456821.218818즉석판매제조가공업11주택가주변자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
131100003110000-107-1972-0032619720411<NA>3폐업2폐업20020703<NA><NA><NA>020355774012.53122837서울특별시 은평구 대조동 14-24<NA><NA>삼화기름집2002-01-10 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
231100003110000-107-1972-0033019720324<NA>3폐업2폐업20001226<NA><NA><NA>0213.32122810서울특별시 은평구 갈현동 424-16<NA><NA>송학2000-12-26 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업192640.073875457921.155872즉석판매제조가공업00주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
331100003110000-107-1972-0033119720403<NA>1영업/정상1영업<NA><NA><NA><NA>02 386094044.52122920서울특별시 은평구 응암동 427-111 1층서울특별시 은평구 응암로22길 5-14, 1층 (응암동)3466광명2018-05-23 15:46:29I2018-08-31 23:59:59.0즉석판매제조가공업192773.94769454676.318999즉석판매제조가공업00기타을상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
431100003110000-107-1972-0033819720324<NA>3폐업2폐업19960813<NA><NA><NA>02038728430.0122841서울특별시 은평구 대조동 142-0<NA><NA>현대기름집2002-01-14 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00주택가주변을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531100003110000-107-1972-0034619720821<NA>3폐업2폐업20040209<NA><NA><NA>020302135615.37122897서울특별시 은평구 역촌동 31-6<NA><NA>믿는 기름집2002-07-30 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업192773.974599455630.884112즉석판매제조가공업00주택가주변을상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
631100003110000-107-1972-0034819720509<NA>1영업/정상1영업<NA><NA><NA><NA>020387602716.53122837서울특별시 은평구 대조동 14-5 (1층)서울특별시 은평구 불광로 14 (대조동,(1층))3397신진기름집2010-10-27 11:12:11I2018-08-31 23:59:59.0즉석판매제조가공업193584.962586456369.243829즉석판매제조가공업00기타을상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
731100003110000-107-1972-0035619720413<NA>1영업/정상1영업<NA><NA><NA><NA>020386279423.8122920서울특별시 은평구 응암동 427-168서울특별시 은평구 응암로22길 5-11 (응암동)3466와룡방아간2010-10-27 11:12:43I2018-08-31 23:59:59.0즉석판매제조가공업192757.544641454659.803865즉석판매제조가공업00기타을상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
831100003110000-107-1972-0065419720411<NA>1영업/정상1영업<NA><NA><NA><NA>020387022116.17122050서울특별시 은평구 갈현동 467-112 ,467-113<NA><NA>성호식품2010-10-27 11:13:59I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00주택가주변을상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
931100003110000-107-1973-0032719731106<NA>3폐업2폐업20050321<NA><NA><NA>020386666423.76122200서울특별시 은평구 진관동 413-27<NA><NA>대성기름집2002-07-30 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00주택가주변을상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
457831100003110000-107-2024-000832024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-906서울특별시 은평구 응암동 90-1 이마트 은평점 지하1층 식품관서울특별시 은평구 은평로 111, 이마트 은평점 식품관 지하1층 (응암동)3461수라원2024-04-24 13:59:30I2023-12-03 22:06:00.0즉석판매제조가공업192882.837727455340.540564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
457931100003110000-107-2024-000842024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-837서울특별시 은평구 대조동 240 킴스클럽 지하2층 행사장서울특별시 은평구 불광로 20, 킴스클럽 행사장 지하2층 (대조동)3397신우에프엔비2024-04-29 18:40:53I2023-12-05 00:01:00.0즉석판매제조가공업193661.732383456379.193899<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458031100003110000-107-2024-000852024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-952서울특별시 은평구 응암동 754-1 모닝식자재마트 내 1층서울특별시 은평구 응암로4길 20, 모닝식자재마트 내 1층 (응암동)3480양파남2024-04-29 18:54:07I2023-12-05 00:01:00.0즉석판매제조가공업192661.661319453828.585983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458131100003110000-107-2024-000862024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-906서울특별시 은평구 응암동 90-1 층서울특별시 은평구 은평로 111, 이마트 은평점 지하1층 (응암동)3461(주)케이지프레시2024-05-01 13:12:50I2023-12-05 00:03:00.0즉석판매제조가공업192882.837727455340.540564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458231100003110000-107-2024-000872024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-200서울특별시 은평구 진관동 63 롯데몰 지하 1층 일부서울특별시 은평구 통일로 1050, 롯데몰 일부 지하 1층 (진관동)3306주식회사 아이프레시 농업회사법인2024-05-01 17:49:50I2023-12-05 00:03:00.0즉석판매제조가공업192694.923742459461.23612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458331100003110000-107-2024-000882024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-906서울특별시 은평구 응암동 90-1 이마트 은평점 B1층서울특별시 은평구 은평로 111, 이마트 은평점 B1층 (응암동)3461판크로스2024-05-02 16:32:59I2023-12-05 00:05:00.0즉석판매제조가공업192882.837727455340.540564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458431100003110000-107-2024-000892024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA>031 767 92243.3122-859서울특별시 은평구 불광동 308-1 1층롯데수퍼서울특별시 은평구 통일로 842, 롯데수퍼 1층 (불광동)3350(주)메르시푸드2024-05-03 13:42:18I2023-12-05 00:05:00.0즉석판매제조가공업193035.279146457365.911737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458531100003110000-107-2024-000902024-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-837서울특별시 은평구 대조동 36-3 2층 일부서울특별시 은평구 진흥로 149, 2층 일부호 (대조동)3395진삼영농조합2024-05-08 08:41:43I2023-12-04 23:00:00.0즉석판매제조가공업193397.031285456287.889757<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458631100003110000-107-2024-000912024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-200서울특별시 은평구 진관동 63 롯데마트 은평점서울특별시 은평구 통일로 1050, 롯데마트 은평점 (진관동)3306주식회사 현승에프앤디2024-05-09 09:11:08I2023-12-04 23:01:00.0즉석판매제조가공업192694.923742459461.23612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
458731100003110000-107-2024-000922024-05-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3122-906서울특별시 은평구 응암동 90-1 이마트 은평점 지하1층 식품관서울특별시 은평구 은평로 111, 이마트 은평점 식품관 지하1층 (응암동)3461수라원2024-05-09 15:01:42I2023-12-04 23:01:00.0즉석판매제조가공업192882.837727455340.540564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>