Overview

Dataset statistics

Number of variables44
Number of observations4376
Missing cells39219
Missing cells (%)20.4%
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-18447/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (98.9%)Imbalance
위생업태명 is highly imbalanced (59.1%)Imbalance
남성종사자수 is highly imbalanced (79.0%)Imbalance
여성종사자수 is highly imbalanced (76.7%)Imbalance
영업장주변구분명 is highly imbalanced (77.5%)Imbalance
등급구분명 is highly imbalanced (68.7%)Imbalance
급수시설구분명 is highly imbalanced (60.3%)Imbalance
총인원 is highly imbalanced (74.5%)Imbalance
보증액 is highly imbalanced (85.7%)Imbalance
월세액 is highly imbalanced (84.2%)Imbalance
다중이용업소여부 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 4376 (100.0%) missing valuesMissing
폐업일자 has 547 (12.5%) missing valuesMissing
휴업시작일자 has 4376 (100.0%) missing valuesMissing
휴업종료일자 has 4376 (100.0%) missing valuesMissing
재개업일자 has 4376 (100.0%) missing valuesMissing
전화번호 has 2324 (53.1%) missing valuesMissing
소재지면적 has 1161 (26.5%) missing valuesMissing
소재지우편번호 has 71 (1.6%) missing valuesMissing
지번주소 has 71 (1.6%) missing valuesMissing
도로명주소 has 1367 (31.2%) missing valuesMissing
도로명우편번호 has 1378 (31.5%) missing valuesMissing
좌표정보(X) has 137 (3.1%) missing valuesMissing
좌표정보(Y) has 137 (3.1%) missing valuesMissing
다중이용업소여부 has 697 (15.9%) missing valuesMissing
시설총규모 has 697 (15.9%) missing valuesMissing
전통업소지정번호 has 4376 (100.0%) missing valuesMissing
전통업소주된음식 has 4376 (100.0%) missing valuesMissing
홈페이지 has 4376 (100.0%) missing valuesMissing
시설총규모 is highly skewed (γ1 = 32.90184976)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 748 (17.1%) zerosZeros
시설총규모 has 3673 (83.9%) zerosZeros

Reproduction

Analysis started2024-04-06 09:51:06.241901
Analysis finished2024-04-06 09:51:08.419982
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
3200000
4376 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 4376
100.0%

Length

2024-04-06T18:51:08.517262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:08.660554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 4376
100.0%

관리번호
Text

UNIQUE 

Distinct4376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2024-04-06T18:51:08.933344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters96272
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

Unique4376 ?
Unique (%)100.0%

Sample

1st row3200000-107-1899-00630
2nd row3200000-107-1972-00174
3rd row3200000-107-1972-00175
4th row3200000-107-1972-00176
5th row3200000-107-1974-00177
ValueCountFrequency (%)
3200000-107-1899-00630 1
 
< 0.1%
3200000-107-2018-00375 1
 
< 0.1%
3200000-107-2018-00369 1
 
< 0.1%
3200000-107-2018-00370 1
 
< 0.1%
3200000-107-2018-00371 1
 
< 0.1%
3200000-107-2018-00372 1
 
< 0.1%
3200000-107-2018-00331 1
 
< 0.1%
3200000-107-2018-00373 1
 
< 0.1%
3200000-107-2018-00376 1
 
< 0.1%
3200000-107-2018-00330 1
 
< 0.1%
Other values (4366) 4366
99.8%
2024-04-06T18:51:09.493416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43516
45.2%
- 13128
 
13.6%
2 11290
 
11.7%
1 9244
 
9.6%
3 5920
 
6.1%
7 5769
 
6.0%
9 2282
 
2.4%
8 1599
 
1.7%
6 1298
 
1.3%
4 1146
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83144
86.4%
Dash Punctuation 13128
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43516
52.3%
2 11290
 
13.6%
1 9244
 
11.1%
3 5920
 
7.1%
7 5769
 
6.9%
9 2282
 
2.7%
8 1599
 
1.9%
6 1298
 
1.6%
4 1146
 
1.4%
5 1080
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 13128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43516
45.2%
- 13128
 
13.6%
2 11290
 
11.7%
1 9244
 
9.6%
3 5920
 
6.1%
7 5769
 
6.0%
9 2282
 
2.4%
8 1599
 
1.7%
6 1298
 
1.3%
4 1146
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43516
45.2%
- 13128
 
13.6%
2 11290
 
11.7%
1 9244
 
9.6%
3 5920
 
6.1%
7 5769
 
6.0%
9 2282
 
2.4%
8 1599
 
1.7%
6 1298
 
1.3%
4 1146
 
1.2%

인허가일자
Date

Distinct2919
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Minimum1972-07-11 00:00:00
Maximum2024-04-04 00:00:00
2024-04-06T18:51:09.768091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:51:10.033424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
3
3829 
1
547 

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 3829
87.5%
1 547
 
12.5%

Length

2024-04-06T18:51:10.319417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:10.501094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3829
87.5%
1 547
 
12.5%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
폐업
3829 
영업/정상
547 

Length

Max length5
Median length2
Mean length2.375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3829
87.5%
영업/정상 547
 
12.5%

Length

2024-04-06T18:51:10.680351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:10.835823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3829
87.5%
영업/정상 547
 
12.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2
3829 
1
547 

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 3829
87.5%
1 547
 
12.5%

Length

2024-04-06T18:51:11.008578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:11.170774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3829
87.5%
1 547
 
12.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
폐업
3829 
영업
547 

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 3829
87.5%
영업 547
 
12.5%

Length

2024-04-06T18:51:11.357466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:11.538162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3829
87.5%
영업 547
 
12.5%

폐업일자
Date

MISSING 

Distinct2464
Distinct (%)64.4%
Missing547
Missing (%)12.5%
Memory size34.3 KiB
Minimum1996-04-18 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T18:51:11.750449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:51:12.034127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

전화번호
Text

MISSING 

Distinct1538
Distinct (%)75.0%
Missing2324
Missing (%)53.1%
Memory size34.3 KiB
2024-04-06T18:51:12.613947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.12963
Min length2

Characters and Unicode

Total characters20786
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

Unique1399 ?
Unique (%)68.2%

Sample

1st row0232811893
2nd row02 8783316
3rd row02 8893534
4th row02 8772970
5th row02 8556104
ValueCountFrequency (%)
02 1433
34.1%
031 180
 
4.3%
070 46
 
1.1%
8730637 46
 
1.1%
032 42
 
1.0%
43009589 24
 
0.6%
873 23
 
0.5%
4992 22
 
0.5%
042 22
 
0.5%
311 21
 
0.5%
Other values (1634) 2342
55.7%
2024-04-06T18:51:13.417386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3343
16.1%
8 2908
14.0%
2 2867
13.8%
2505
12.1%
3 1670
8.0%
7 1583
7.6%
5 1336
 
6.4%
6 1258
 
6.1%
1 1181
 
5.7%
4 1116
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18281
87.9%
Space Separator 2505
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3343
18.3%
8 2908
15.9%
2 2867
15.7%
3 1670
9.1%
7 1583
8.7%
5 1336
 
7.3%
6 1258
 
6.9%
1 1181
 
6.5%
4 1116
 
6.1%
9 1019
 
5.6%
Space Separator
ValueCountFrequency (%)
2505
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20786
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3343
16.1%
8 2908
14.0%
2 2867
13.8%
2505
12.1%
3 1670
8.0%
7 1583
7.6%
5 1336
 
6.4%
6 1258
 
6.1%
1 1181
 
5.7%
4 1116
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3343
16.1%
8 2908
14.0%
2 2867
13.8%
2505
12.1%
3 1670
8.0%
7 1583
7.6%
5 1336
 
6.4%
6 1258
 
6.1%
1 1181
 
5.7%
4 1116
 
5.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct800
Distinct (%)24.9%
Missing1161
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean17.377596
Minimum0
Maximum479.16
Zeros748
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-06T18:51:13.748528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.09
median12
Q325
95-th percentile50
Maximum479.16
Range479.16
Interquartile range (IQR)22.91

Descriptive statistics

Standard deviation23.999254
Coefficient of variation (CV)1.3810457
Kurtosis62.219678
Mean17.377596
Median Absolute Deviation (MAD)12
Skewness5.4321271
Sum55868.97
Variance575.9642
MonotonicityNot monotonic
2024-04-06T18:51:14.009058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 748
17.1%
33.0 103
 
2.4%
3.3 102
 
2.3%
6.6 98
 
2.2%
10.0 82
 
1.9%
5.0 69
 
1.6%
3.0 61
 
1.4%
6.0 58
 
1.3%
15.0 47
 
1.1%
9.9 45
 
1.0%
Other values (790) 1802
41.2%
(Missing) 1161
26.5%
ValueCountFrequency (%)
0.0 748
17.1%
1.0 3
 
0.1%
1.2 4
 
0.1%
1.3 1
 
< 0.1%
1.5 5
 
0.1%
1.56 1
 
< 0.1%
1.6 1
 
< 0.1%
1.65 2
 
< 0.1%
1.68 1
 
< 0.1%
1.8 2
 
< 0.1%
ValueCountFrequency (%)
479.16 1
< 0.1%
294.76 1
< 0.1%
240.0 1
< 0.1%
209.92 1
< 0.1%
209.25 1
< 0.1%
207.82 1
< 0.1%
206.05 1
< 0.1%
200.94 1
< 0.1%
194.0 1
< 0.1%
193.75 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct200
Distinct (%)4.6%
Missing71
Missing (%)1.6%
Memory size34.3 KiB
2024-04-06T18:51:14.664902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1029036
Min length6

Characters and Unicode

Total characters26273
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

Unique36 ?
Unique (%)0.8%

Sample

1st row151899
2nd row151862
3rd row151830
4th row151803
5th row151-869
ValueCountFrequency (%)
151718 378
 
8.8%
151830 271
 
6.3%
151904 250
 
5.8%
151846 191
 
4.4%
151801 190
 
4.4%
151888 180
 
4.2%
151818 135
 
3.1%
151050 120
 
2.8%
151836 105
 
2.4%
151869 98
 
2.3%
Other values (190) 2387
55.4%
2024-04-06T18:51:15.487590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9861
37.5%
5 4882
18.6%
8 4459
17.0%
0 1734
 
6.6%
9 984
 
3.7%
4 982
 
3.7%
3 919
 
3.5%
7 792
 
3.0%
6 731
 
2.8%
2 486
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25830
98.3%
Dash Punctuation 443
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9861
38.2%
5 4882
18.9%
8 4459
17.3%
0 1734
 
6.7%
9 984
 
3.8%
4 982
 
3.8%
3 919
 
3.6%
7 792
 
3.1%
6 731
 
2.8%
2 486
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 443
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9861
37.5%
5 4882
18.6%
8 4459
17.0%
0 1734
 
6.6%
9 984
 
3.7%
4 982
 
3.7%
3 919
 
3.5%
7 792
 
3.0%
6 731
 
2.8%
2 486
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9861
37.5%
5 4882
18.6%
8 4459
17.0%
0 1734
 
6.6%
9 984
 
3.7%
4 982
 
3.7%
3 919
 
3.5%
7 792
 
3.0%
6 731
 
2.8%
2 486
 
1.8%

지번주소
Text

MISSING 

Distinct1909
Distinct (%)44.3%
Missing71
Missing (%)1.6%
Memory size34.3 KiB
2024-04-06T18:51:15.947542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length23.626249
Min length17

Characters and Unicode

Total characters101711
Distinct characters246
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1552 ?
Unique (%)36.1%

Sample

1st row서울특별시 관악구 신림동 1570-9
2nd row서울특별시 관악구 신림동 354-0
3rd row서울특별시 관악구 봉천동 704-0
4th row서울특별시 관악구 봉천동 13-21
5th row서울특별시 관악구 신림동 1602-1
ValueCountFrequency (%)
서울특별시 4305
22.1%
관악구 4305
22.1%
봉천동 2304
11.8%
신림동 1693
 
8.7%
729-22 642
 
3.3%
롯데백화점 412
 
2.1%
남현동 308
 
1.6%
1668 221
 
1.1%
612-51 215
 
1.1%
1567-1 193
 
1.0%
Other values (1821) 4848
24.9%
2024-04-06T18:51:16.631910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18681
18.4%
관 4551
 
4.5%
악 4547
 
4.5%
동 4495
 
4.4%
1 4397
 
4.3%
서 4342
 
4.3%
시 4323
 
4.3%
울 4312
 
4.2%
구 4310
 
4.2%
특 4309
 
4.2%
Other values (236) 43444
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56987
56.0%
Decimal Number 21584
 
21.2%
Space Separator 18681
 
18.4%
Dash Punctuation 3947
 
3.9%
Uppercase Letter 351
 
0.3%
Lowercase Letter 71
 
0.1%
Other Punctuation 47
 
< 0.1%
Open Punctuation 21
 
< 0.1%
Close Punctuation 21
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 4551
 
8.0%
악 4547
 
8.0%
동 4495
 
7.9%
서 4342
 
7.6%
시 4323
 
7.6%
울 4312
 
7.6%
구 4310
 
7.6%
특 4309
 
7.6%
별 4305
 
7.6%
봉 2326
 
4.1%
Other values (205) 15167
26.6%
Decimal Number
ValueCountFrequency (%)
1 4397
20.4%
2 4068
18.8%
6 2655
12.3%
7 2230
10.3%
5 1719
 
8.0%
9 1690
 
7.8%
3 1357
 
6.3%
8 1268
 
5.9%
0 1163
 
5.4%
4 1037
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
G 154
43.9%
S 154
43.9%
B 23
 
6.6%
A 14
 
4.0%
L 2
 
0.6%
P 1
 
0.3%
T 1
 
0.3%
M 1
 
0.3%
C 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 33
46.5%
g 33
46.5%
e 3
 
4.2%
a 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 40
85.1%
. 6
 
12.8%
@ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
18681
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3947
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56987
56.0%
Common 44302
43.6%
Latin 422
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 4551
 
8.0%
악 4547
 
8.0%
동 4495
 
7.9%
서 4342
 
7.6%
시 4323
 
7.6%
울 4312
 
7.6%
구 4310
 
7.6%
특 4309
 
7.6%
별 4305
 
7.6%
봉 2326
 
4.1%
Other values (205) 15167
26.6%
Common
ValueCountFrequency (%)
18681
42.2%
1 4397
 
9.9%
2 4068
 
9.2%
- 3947
 
8.9%
6 2655
 
6.0%
7 2230
 
5.0%
5 1719
 
3.9%
9 1690
 
3.8%
3 1357
 
3.1%
8 1268
 
2.9%
Other values (8) 2290
 
5.2%
Latin
ValueCountFrequency (%)
G 154
36.5%
S 154
36.5%
s 33
 
7.8%
g 33
 
7.8%
B 23
 
5.5%
A 14
 
3.3%
e 3
 
0.7%
a 2
 
0.5%
L 2
 
0.5%
P 1
 
0.2%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56987
56.0%
ASCII 44724
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18681
41.8%
1 4397
 
9.8%
2 4068
 
9.1%
- 3947
 
8.8%
6 2655
 
5.9%
7 2230
 
5.0%
5 1719
 
3.8%
9 1690
 
3.8%
3 1357
 
3.0%
8 1268
 
2.8%
Other values (21) 2712
 
6.1%
Hangul
ValueCountFrequency (%)
관 4551
 
8.0%
악 4547
 
8.0%
동 4495
 
7.9%
서 4342
 
7.6%
시 4323
 
7.6%
울 4312
 
7.6%
구 4310
 
7.6%
특 4309
 
7.6%
별 4305
 
7.6%
봉 2326
 
4.1%
Other values (205) 15167
26.6%

도로명주소
Text

MISSING 

Distinct1577
Distinct (%)52.4%
Missing1367
Missing (%)31.2%
Memory size34.3 KiB
2024-04-06T18:51:17.094018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length31.762047
Min length21

Characters and Unicode

Total characters95572
Distinct characters285
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1356 ?
Unique (%)45.1%

Sample

1st row서울특별시 관악구 청림길 16, 1층 (봉천동)
2nd row서울특별시 관악구 신원로 23 (신림동)
3rd row서울특별시 관악구 법원단지길 25 (신림동)
4th row서울특별시 관악구 관악로14길 75 (봉천동)
5th row서울특별시 관악구 한솔길 53 (봉천동)
ValueCountFrequency (%)
서울특별시 3009
15.8%
관악구 3009
15.8%
봉천동 1495
 
7.8%
신림동 1134
 
5.9%
1층 767
 
4.0%
봉천로 641
 
3.4%
209 482
 
2.5%
롯데백화점 442
 
2.3%
지하2층 326
 
1.7%
남부순환로 314
 
1.6%
Other values (1100) 7454
39.1%
2024-04-06T18:51:17.833100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16076
 
16.8%
관 3631
 
3.8%
악 3539
 
3.7%
1 3292
 
3.4%
동 3204
 
3.4%
서 3069
 
3.2%
시 3037
 
3.2%
울 3026
 
3.2%
( 3022
 
3.2%
) 3021
 
3.2%
Other values (275) 50655
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58074
60.8%
Space Separator 16076
 
16.8%
Decimal Number 12191
 
12.8%
Open Punctuation 3022
 
3.2%
Close Punctuation 3021
 
3.2%
Other Punctuation 2672
 
2.8%
Uppercase Letter 365
 
0.4%
Dash Punctuation 110
 
0.1%
Lowercase Letter 35
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 3631
 
6.3%
악 3539
 
6.1%
동 3204
 
5.5%
서 3069
 
5.3%
시 3037
 
5.2%
울 3026
 
5.2%
구 3014
 
5.2%
특 3011
 
5.2%
별 3010
 
5.2%
천 2661
 
4.6%
Other values (237) 26872
46.3%
Uppercase Letter
ValueCountFrequency (%)
S 132
36.2%
G 128
35.1%
B 79
21.6%
A 9
 
2.5%
H 4
 
1.1%
E 3
 
0.8%
C 2
 
0.5%
T 2
 
0.5%
R 2
 
0.5%
F 2
 
0.5%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 3292
27.0%
2 2278
18.7%
9 1461
12.0%
0 1456
11.9%
3 996
 
8.2%
6 823
 
6.8%
5 600
 
4.9%
4 591
 
4.8%
7 408
 
3.3%
8 286
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
s 11
31.4%
g 10
28.6%
e 5
14.3%
b 4
 
11.4%
h 1
 
2.9%
o 1
 
2.9%
m 1
 
2.9%
l 1
 
2.9%
u 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 2669
99.9%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
16076
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3022
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3021
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58074
60.8%
Common 37098
38.8%
Latin 400
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 3631
 
6.3%
악 3539
 
6.1%
동 3204
 
5.5%
서 3069
 
5.3%
시 3037
 
5.2%
울 3026
 
5.2%
구 3014
 
5.2%
특 3011
 
5.2%
별 3010
 
5.2%
천 2661
 
4.6%
Other values (237) 26872
46.3%
Latin
ValueCountFrequency (%)
S 132
33.0%
G 128
32.0%
B 79
19.8%
s 11
 
2.8%
g 10
 
2.5%
A 9
 
2.2%
e 5
 
1.2%
b 4
 
1.0%
H 4
 
1.0%
E 3
 
0.8%
Other values (11) 15
 
3.8%
Common
ValueCountFrequency (%)
16076
43.3%
1 3292
 
8.9%
( 3022
 
8.1%
) 3021
 
8.1%
, 2669
 
7.2%
2 2278
 
6.1%
9 1461
 
3.9%
0 1456
 
3.9%
3 996
 
2.7%
6 823
 
2.2%
Other values (7) 2004
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58074
60.8%
ASCII 37498
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16076
42.9%
1 3292
 
8.8%
( 3022
 
8.1%
) 3021
 
8.1%
, 2669
 
7.1%
2 2278
 
6.1%
9 1461
 
3.9%
0 1456
 
3.9%
3 996
 
2.7%
6 823
 
2.2%
Other values (28) 2404
 
6.4%
Hangul
ValueCountFrequency (%)
관 3631
 
6.3%
악 3539
 
6.1%
동 3204
 
5.5%
서 3069
 
5.3%
시 3037
 
5.2%
울 3026
 
5.2%
구 3014
 
5.2%
특 3011
 
5.2%
별 3010
 
5.2%
천 2661
 
4.6%
Other values (237) 26872
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct150
Distinct (%)5.0%
Missing1378
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean8772.2859
Minimum8700
Maximum8865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-06T18:51:18.080480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8700
5-th percentile8708
Q18731
median8774
Q38808
95-th percentile8849.15
Maximum8865
Range165
Interquartile range (IQR)77

Descriptive statistics

Standard deviation46.905495
Coefficient of variation (CV)0.0053470094
Kurtosis-0.95300048
Mean8772.2859
Median Absolute Deviation (MAD)34
Skewness0.15159924
Sum26299313
Variance2200.1255
MonotonicityNot monotonic
2024-04-06T18:51:18.249456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8708 492
 
11.2%
8808 245
 
5.6%
8768 234
 
5.3%
8786 183
 
4.2%
8849 166
 
3.8%
8792 124
 
2.8%
8774 86
 
2.0%
8812 76
 
1.7%
8846 56
 
1.3%
8793 56
 
1.3%
Other values (140) 1280
29.3%
(Missing) 1378
31.5%
ValueCountFrequency (%)
8700 4
 
0.1%
8701 2
 
< 0.1%
8702 13
 
0.3%
8703 5
 
0.1%
8704 4
 
0.1%
8705 25
 
0.6%
8706 3
 
0.1%
8707 9
 
0.2%
8708 492
11.2%
8709 8
 
0.2%
ValueCountFrequency (%)
8865 10
0.2%
8864 23
0.5%
8863 3
 
0.1%
8862 3
 
0.1%
8861 20
0.5%
8860 4
 
0.1%
8859 17
0.4%
8858 5
 
0.1%
8857 4
 
0.1%
8856 21
0.5%

사업장명
Text

Distinct2630
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2024-04-06T18:51:18.608490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length6.0047989
Min length2

Characters and Unicode

Total characters26277
Distinct characters754
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

Unique2166 ?
Unique (%)49.5%

Sample

1st row새현대건강원
2nd row대흥기름집
3rd row미화기름집
4th row영남기름집
5th row충북기름집
ValueCountFrequency (%)
주식회사 213
 
4.1%
마켓인 56
 
1.1%
주)한울에프엔비 46
 
0.9%
보령원식품 42
 
0.8%
햇빛촌21 40
 
0.8%
주)동명에스티유 38
 
0.7%
명류당티에프 36
 
0.7%
마더앤피쉬 34
 
0.7%
미림푸드 34
 
0.7%
초림단지묵 33
 
0.6%
Other values (2849) 4568
88.9%
2024-04-06T18:51:19.263997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 830
 
3.2%
780
 
3.0%
) 648
 
2.5%
( 618
 
2.4%
식 490
 
1.9%
원 467
 
1.8%
산 461
 
1.8%
드 440
 
1.7%
사 409
 
1.6%
에 388
 
1.5%
Other values (744) 20746
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23286
88.6%
Space Separator 780
 
3.0%
Close Punctuation 649
 
2.5%
Open Punctuation 619
 
2.4%
Uppercase Letter 344
 
1.3%
Lowercase Letter 301
 
1.1%
Decimal Number 178
 
0.7%
Other Punctuation 112
 
0.4%
Dash Punctuation 5
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 830
 
3.6%
식 490
 
2.1%
원 467
 
2.0%
산 461
 
2.0%
드 440
 
1.9%
사 409
 
1.8%
에 388
 
1.7%
푸 367
 
1.6%
이 354
 
1.5%
마 353
 
1.5%
Other values (667) 18727
80.4%
Lowercase Letter
ValueCountFrequency (%)
e 36
12.0%
h 32
 
10.6%
m 30
 
10.0%
a 24
 
8.0%
o 23
 
7.6%
i 20
 
6.6%
n 16
 
5.3%
t 15
 
5.0%
r 14
 
4.7%
s 11
 
3.7%
Other values (14) 80
26.6%
Uppercase Letter
ValueCountFrequency (%)
F 41
11.9%
S 35
 
10.2%
B 34
 
9.9%
C 24
 
7.0%
O 24
 
7.0%
E 23
 
6.7%
A 20
 
5.8%
L 19
 
5.5%
G 17
 
4.9%
M 16
 
4.7%
Other values (13) 91
26.5%
Other Punctuation
ValueCountFrequency (%)
& 56
50.0%
, 29
25.9%
. 14
 
12.5%
* 5
 
4.5%
＆ 2
 
1.8%
; 1
 
0.9%
: 1
 
0.9%
! 1
 
0.9%
? 1
 
0.9%
/ 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 67
37.6%
2 61
34.3%
5 9
 
5.1%
9 8
 
4.5%
8 7
 
3.9%
3 7
 
3.9%
0 7
 
3.9%
4 5
 
2.8%
7 5
 
2.8%
6 2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 648
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 618
99.8%
[ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
㈓ 1
50.0%
♡ 1
50.0%
Space Separator
ValueCountFrequency (%)
780
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23273
88.6%
Common 2345
 
8.9%
Latin 645
 
2.5%
Han 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 830
 
3.6%
식 490
 
2.1%
원 467
 
2.0%
산 461
 
2.0%
드 440
 
1.9%
사 409
 
1.8%
에 388
 
1.7%
푸 367
 
1.6%
이 354
 
1.5%
마 353
 
1.5%
Other values (657) 18714
80.4%
Latin
ValueCountFrequency (%)
F 41
 
6.4%
e 36
 
5.6%
S 35
 
5.4%
B 34
 
5.3%
h 32
 
5.0%
m 30
 
4.7%
C 24
 
3.7%
a 24
 
3.7%
O 24
 
3.7%
E 23
 
3.6%
Other values (37) 342
53.0%
Common
ValueCountFrequency (%)
780
33.3%
) 648
27.6%
( 618
26.4%
1 67
 
2.9%
2 61
 
2.6%
& 56
 
2.4%
, 29
 
1.2%
. 14
 
0.6%
5 9
 
0.4%
9 8
 
0.3%
Other values (19) 55
 
2.3%
Han
ValueCountFrequency (%)
愛 2
14.3%
大 2
14.3%
美 2
14.3%
晁 1
7.1%
福 1
7.1%
家 1
7.1%
紅 1
7.1%
米 1
7.1%
談 1
7.1%
成 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23272
88.6%
ASCII 2987
 
11.4%
CJK 14
 
0.1%
None 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 830
 
3.6%
식 490
 
2.1%
원 467
 
2.0%
산 461
 
2.0%
드 440
 
1.9%
사 409
 
1.8%
에 388
 
1.7%
푸 367
 
1.6%
이 354
 
1.5%
마 353
 
1.5%
Other values (656) 18713
80.4%
ASCII
ValueCountFrequency (%)
780
26.1%
) 648
21.7%
( 618
20.7%
1 67
 
2.2%
2 61
 
2.0%
& 56
 
1.9%
F 41
 
1.4%
e 36
 
1.2%
S 35
 
1.2%
B 34
 
1.1%
Other values (64) 611
20.5%
None
ValueCountFrequency (%)
＆ 2
66.7%
㈓ 1
33.3%
CJK
ValueCountFrequency (%)
愛 2
14.3%
大 2
14.3%
美 2
14.3%
晁 1
7.1%
福 1
7.1%
家 1
7.1%
紅 1
7.1%
米 1
7.1%
談 1
7.1%
成 1
7.1%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

최종수정일자
Date

Distinct3495
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Minimum1999-03-19 00:00:00
Maximum2024-04-04 15:59:07
2024-04-06T18:51:19.482902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:51:19.704037image/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 size34.3 KiB
I
2681 
U
1695 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 2681
61.3%
U 1695
38.7%

Length

2024-04-06T18:51:19.954026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:20.114425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2681
61.3%
u 1695
38.7%

데이터갱신일자
Date

Distinct1119
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T18:51:20.275466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:51:20.932590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
즉석판매제조가공업
4369 
기타
 
6
<NA>
 
1

Length

Max length9
Median length9
Mean length8.9892596
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 4369
99.8%
기타 6
 
0.1%
<NA> 1
 
< 0.1%

Length

2024-04-06T18:51:21.200410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:21.643329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 4369
99.8%
기타 6
 
0.1%
na 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1360
Distinct (%)32.1%
Missing137
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean194399.35
Minimum191131.05
Maximum198449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-06T18:51:21.865581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191131.05
5-th percentile191334.66
Q1193301.89
median193987.78
Q3195537.27
95-th percentile198374.47
Maximum198449
Range7317.9522
Interquartile range (IQR)2235.3837

Descriptive statistics

Standard deviation1825.2974
Coefficient of variation (CV)0.0093894211
Kurtosis-0.47771852
Mean194399.35
Median Absolute Deviation (MAD)1312.895
Skewness0.44434306
Sum8.2405886 × 108
Variance3331710.6
MonotonicityNot monotonic
2024-04-06T18:51:22.089791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193301.885808714 646
 
14.8%
191334.658955208 222
 
5.1%
198374.473281221 216
 
4.9%
195431.465419568 189
 
4.3%
192674.885947244 167
 
3.8%
196501.159765837 153
 
3.5%
195432.075884435 136
 
3.1%
194135.772735482 64
 
1.5%
195879.964432456 44
 
1.0%
194719.981415722 36
 
0.8%
Other values (1350) 2366
54.1%
(Missing) 137
 
3.1%
ValueCountFrequency (%)
191131.049995846 1
< 0.1%
191134.328622763 1
< 0.1%
191204.884621244 1
< 0.1%
191206.518253355 1
< 0.1%
191210.078732513 1
< 0.1%
191210.679932906 1
< 0.1%
191215.176663069 1
< 0.1%
191234.651997803 1
< 0.1%
191245.330139081 2
< 0.1%
191288.170481488 1
< 0.1%
ValueCountFrequency (%)
198449.002171 10
 
0.2%
198400.38041053 5
 
0.1%
198392.240810292 13
 
0.3%
198374.473281221 216
4.9%
198341.700280527 1
 
< 0.1%
198305.07819874 2
 
< 0.1%
198284.078546351 1
 
< 0.1%
198274.871752809 2
 
< 0.1%
198237.008977315 1
 
< 0.1%
198081.693933879 4
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1361
Distinct (%)32.1%
Missing137
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean442068.35
Minimum439023.17
Maximum443547.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-06T18:51:22.347729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile440903.82
Q1441404.06
median441993.85
Q3442683.38
95-th percentile443151.56
Maximum443547.05
Range4523.8826
Interquartile range (IQR)1279.3146

Descriptive statistics

Standard deviation785.87094
Coefficient of variation (CV)0.0017777137
Kurtosis-0.56072021
Mean442068.35
Median Absolute Deviation (MAD)641.10975
Skewness-0.28908634
Sum1.8739277 × 109
Variance617593.14
MonotonicityNot monotonic
2024-04-06T18:51:22.559348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443151.561302292 646
 
14.8%
441993.853241909 222
 
5.1%
441033.513044892 216
 
4.9%
441896.302934956 189
 
4.3%
441352.743493574 167
 
3.8%
441640.881044209 153
 
3.5%
441920.141882147 136
 
3.1%
440917.845099207 64
 
1.5%
442417.634346648 44
 
1.0%
442632.469540589 36
 
0.8%
Other values (1351) 2366
54.1%
(Missing) 137
 
3.1%
ValueCountFrequency (%)
439023.167125842 1
 
< 0.1%
439787.715563055 3
 
0.1%
439816.999224208 25
0.6%
439825.822160271 1
 
< 0.1%
439834.740321124 1
 
< 0.1%
439843.900681742 1
 
< 0.1%
439852.868058712 1
 
< 0.1%
439993.033957335 1
 
< 0.1%
440039.102875244 2
 
< 0.1%
440040.309820942 3
 
0.1%
ValueCountFrequency (%)
443547.049696825 7
0.2%
443437.692580028 1
 
< 0.1%
443389.551719357 1
 
< 0.1%
443381.288614319 1
 
< 0.1%
443341.555666666 1
 
< 0.1%
443341.379446435 10
0.2%
443315.864044162 1
 
< 0.1%
443314.941516933 2
 
< 0.1%
443309.268417454 1
 
< 0.1%
443287.141450241 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
즉석판매제조가공업
3672 
<NA>
698 
기타
 
6

Length

Max length9
Median length9
Mean length8.1928702
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 3672
83.9%
<NA> 698
 
16.0%
기타 6
 
0.1%

Length

2024-04-06T18:51:22.761613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:22.965615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 3672
83.9%
na 698
 
16.0%
기타 6
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4001 
0
 
303
1
 
68
2
 
3
10
 
1

Length

Max length4
Median length4
Mean length3.7431444
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4001
91.4%
0 303
 
6.9%
1 68
 
1.6%
2 3
 
0.1%
10 1
 
< 0.1%

Length

2024-04-06T18:51:23.147298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:23.338958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4001
91.4%
0 303
 
6.9%
1 68
 
1.6%
2 3
 
0.1%
10 1
 
< 0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4000 
0
 
338
1
 
36
2
 
2

Length

Max length4
Median length4
Mean length3.7422303
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4000
91.4%
0 338
 
7.7%
1 36
 
0.8%
2 2
 
< 0.1%

Length

2024-04-06T18:51:23.596451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:23.793617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4000
91.4%
0 338
 
7.7%
1 36
 
0.8%
2 2
 
< 0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3904 
주택가주변
 
380
기타
 
84
아파트지역
 
4
유흥업소밀집지역
 
3

Length

Max length8
Median length4
Mean length4.0530165
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3904
89.2%
주택가주변 380
 
8.7%
기타 84
 
1.9%
아파트지역 4
 
0.1%
유흥업소밀집지역 3
 
0.1%
학교정화(절대) 1
 
< 0.1%

Length

2024-04-06T18:51:24.157416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:24.425460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3904
89.2%
주택가주변 380
 
8.7%
기타 84
 
1.9%
아파트지역 4
 
0.1%
유흥업소밀집지역 3
 
0.1%
학교정화(절대 1
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3904 
기타
471 
자율
 
1

Length

Max length4
Median length4
Mean length3.7842779
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3904
89.2%
기타 471
 
10.8%
자율 1
 
< 0.1%

Length

2024-04-06T18:51:24.674551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:24.870579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3904
89.2%
기타 471
 
10.8%
자율 1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3692 
상수도전용
682 
상수도(음용)지하수(주방용)겸용
 
2

Length

Max length17
Median length4
Mean length4.1617916
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3692
84.4%
상수도전용 682
 
15.6%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%

Length

2024-04-06T18:51:25.066254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:25.242972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3692
84.4%
상수도전용 682
 
15.6%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4189 
0
 
187

Length

Max length4
Median length4
Mean length3.8718007
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> 4189
95.7%
0 187
 
4.3%

Length

2024-04-06T18:51:25.416057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:25.571841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4189
95.7%
0 187
 
4.3%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3128 
0
1248 

Length

Max length4
Median length4
Mean length3.1444241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3128
71.5%
0 1248
 
28.5%

Length

2024-04-06T18:51:25.768521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:25.963980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3128
71.5%
0 1248
 
28.5%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3128 
0
1248 

Length

Max length4
Median length4
Mean length3.1444241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3128
71.5%
0 1248
 
28.5%

Length

2024-04-06T18:51:26.136752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:26.322000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3128
71.5%
0 1248
 
28.5%

공장판매직종업원수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3127 
0
1248 
1
 
1

Length

Max length4
Median length4
Mean length3.1437386
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3127
71.5%
0 1248
 
28.5%
1 1
 
< 0.1%

Length

2024-04-06T18:51:26.507638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:26.695370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3127
71.5%
0 1248
 
28.5%
1 1
 
< 0.1%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
3128 
0
1248 

Length

Max length4
Median length4
Mean length3.1444241
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3128
71.5%
0 1248
 
28.5%

Length

2024-04-06T18:51:26.903989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:27.095581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3128
71.5%
0 1248
 
28.5%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
2499 
임대
1025 
자가
852 

Length

Max length4
Median length4
Mean length3.1421389
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> 2499
57.1%
임대 1025
23.4%
자가 852
 
19.5%

Length

2024-04-06T18:51:27.279229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:27.505589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2499
57.1%
임대 1025
23.4%
자가 852
 
19.5%

보증액
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4077 
0
 
295
15000000
 
1
9370000
 
1
10000000
 
1

Length

Max length8
Median length4
Mean length3.8007313
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4077
93.2%
0 295
 
6.7%
15000000 1
 
< 0.1%
9370000 1
 
< 0.1%
10000000 1
 
< 0.1%
130000 1
 
< 0.1%

Length

2024-04-06T18:51:27.722790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:27.936019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4077
93.2%
0 295
 
6.7%
15000000 1
 
< 0.1%
9370000 1
 
< 0.1%
10000000 1
 
< 0.1%
130000 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4077 
0
 
296
750000
 
1
300000
 
1
2000000
 
1

Length

Max length7
Median length4
Mean length3.7986746
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4077
93.2%
0 296
 
6.8%
750000 1
 
< 0.1%
300000 1
 
< 0.1%
2000000 1
 
< 0.1%

Length

2024-04-06T18:51:28.183610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:51:28.393980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4077
93.2%
0 296
 
6.8%
750000 1
 
< 0.1%
300000 1
 
< 0.1%
2000000 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing697
Missing (%)15.9%
Memory size8.7 KiB
False
3678 
True
 
1
(Missing)
697 
ValueCountFrequency (%)
False 3678
84.0%
True 1
 
< 0.1%
(Missing) 697
 
15.9%
2024-04-06T18:51:28.575954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.2%
Missing697
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean0.036920359
Minimum0
Maximum43.61
Zeros3673
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-06T18:51:28.720393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum43.61
Range43.61
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0481919
Coefficient of variation (CV)28.390621
Kurtosis1173.7078
Mean0.036920359
Median Absolute Deviation (MAD)0
Skewness32.90185
Sum135.83
Variance1.0987063
MonotonicityNot monotonic
2024-04-06T18:51:28.885944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 3673
83.9%
10.0 1
 
< 0.1%
6.6 1
 
< 0.1%
20.0 1
 
< 0.1%
33.0 1
 
< 0.1%
22.62 1
 
< 0.1%
43.61 1
 
< 0.1%
(Missing) 697
 
15.9%
ValueCountFrequency (%)
0.0 3673
83.9%
6.6 1
 
< 0.1%
10.0 1
 
< 0.1%
20.0 1
 
< 0.1%
22.62 1
 
< 0.1%
33.0 1
 
< 0.1%
43.61 1
 
< 0.1%
ValueCountFrequency (%)
43.61 1
 
< 0.1%
33.0 1
 
< 0.1%
22.62 1
 
< 0.1%
20.0 1
 
< 0.1%
10.0 1
 
< 0.1%
6.6 1
 
< 0.1%
0.0 3673
83.9%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4376
Missing (%)100.0%
Memory size38.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032000003200000-107-1899-0063019991104<NA>3폐업2폐업20011218<NA><NA><NA>023281189317.5151899서울특별시 관악구 신림동 1570-9<NA><NA>새현대건강원2001-11-01 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업192704.289178442230.088008즉석판매제조가공업11기타기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
132000003200000-107-1972-0017419720711<NA>3폐업2폐업20111226<NA><NA><NA>02 878331614.4151862서울특별시 관악구 신림동 354-0<NA><NA>대흥기름집2010-10-01 10:06:32I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
232000003200000-107-1972-0017519720817<NA>3폐업2폐업20030703<NA><NA><NA>02 889353413.65151830서울특별시 관악구 봉천동 704-0<NA><NA>미화기름집2000-02-11 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332000003200000-107-1972-0017619720921<NA>3폐업2폐업20170303<NA><NA><NA>02 877297030.0151803서울특별시 관악구 봉천동 13-21서울특별시 관악구 청림길 16, 1층 (봉천동)8733영남기름집2011-12-06 11:14:48I2018-08-31 23:59:59.0즉석판매제조가공업196363.23576442881.848936즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
432000003200000-107-1974-001771974-08-02<NA>3폐업2폐업2023-10-24<NA><NA><NA>02 855610414.58151-869서울특별시 관악구 신림동 1602-1서울특별시 관악구 신원로 23 (신림동)8774충북기름집2023-10-24 17:10:55U2022-10-30 22:06:00.0즉석판매제조가공업193558.722989442164.62083<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
532000003200000-107-1976-0030219760531<NA>3폐업2폐업20010621<NA><NA><NA>0218.02151862서울특별시 관악구 신림동 354-0<NA><NA>중앙2001-06-21 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632000003200000-107-1980-0030319800808<NA>3폐업2폐업20100413<NA><NA><NA>02 889287530.23151862서울특별시 관악구 신림동 354-0<NA><NA>신림방앗간2005-11-02 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
732000003200000-107-1980-0031819800704<NA>3폐업2폐업20010630<NA><NA><NA>0232.4151814서울특별시 관악구 봉천동 172-14<NA><NA>신영2001-06-30 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
832000003200000-107-1980-0032819800808<NA>3폐업2폐업19960624<NA><NA><NA>02 882878632.66151050서울특별시 관악구 봉천동 94-1<NA><NA>충남2001-09-29 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932000003200000-107-1980-0033019800808<NA>3폐업2폐업20110214<NA><NA><NA>02 884652122.8151050서울특별시 관악구 봉천동 89-0<NA><NA>고려방앗간2001-11-24 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
436632000003200000-107-2024-000672024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA><NA>8.0151-873서울특별시 관악구 신림동 514-24서울특별시 관악구 난곡로72길 10 (신림동)8705루흔카페2024-03-27 14:01:04I2023-12-02 22:09:00.0즉석판매제조가공업192361.148257442577.566857<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436732000003200000-107-2024-000682024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>10.0151-862서울특별시 관악구 신림동 1528-2서울특별시 관악구 호암로 585, 1층 (신림동)8846윤슬미2024-03-29 13:16:50I2023-12-02 21:01:00.0즉석판매제조가공업193983.420575440835.817558<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436832000003200000-107-2024-000692024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3151-888서울특별시 관악구 신림동 607-73서울특별시 관악구 난곡로 220, 1층 (신림동)8849그린F&B2024-03-29 13:44:01I2023-12-02 21:01:00.0즉석판매제조가공업192674.940711441352.713137<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
436932000003200000-107-2024-000702024-03-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0151-818서울특별시 관악구 봉천동 1629-2 동아타운아파트서울특별시 관악구 봉천로 576 (봉천동, 동아타운아파트)8792(주)다니푸드2024-03-29 16:53:18I2023-12-02 21:01:00.0즉석판매제조가공업196501.159766441640.881044<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
437032000003200000-107-2024-000712024-04-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>17.0151-849서울특별시 관악구 봉천동 1674-8서울특별시 관악구 행운1길 9, 1층 (봉천동)8739발코니쿠키2024-04-01 10:57:46I2023-12-04 00:03:00.0즉석판매제조가공업196257.273818441950.481384<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
437132000003200000-107-2024-000722024-04-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>151-836서울특별시 관악구 봉천동 878-6서울특별시 관악구 쑥고개로 111 (봉천동)8786해민에프앤비2024-04-02 11:33:14I2023-12-04 00:04:00.0즉석판매제조가공업195432.075884441920.141882<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
437232000003200000-107-2024-000732024-04-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>25.92151-885서울특별시 관악구 신림동 675-159 덕원빌라서울특별시 관악구 난향길 42, 102호 (신림동, 덕원빌라)8859뜨로이라삔2024-04-02 14:46:33I2023-12-04 00:04:00.0즉석판매제조가공업192560.602173440088.672589<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
437332000003200000-107-2024-000742024-04-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>16.58151-809서울특별시 관악구 봉천동 30-3 호삼빌딩서울특별시 관악구 관악로24길 14, 호삼빌딩 지하1층 10호 (봉천동)8737안그릭2024-04-03 13:56:56I2023-12-04 00:05:00.0즉석판매제조가공업195999.663233442420.839864<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
437432000003200000-107-2024-000752024-04-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>151-895서울특별시 관악구 신림동 1523-1 일성트루엘서울특별시 관악구 신림로23길 16, 일성트루엘 (신림동)8812김찬길명인핫바2024-04-04 09:45:12I2023-12-04 00:06:00.0즉석판매제조가공업194135.772735440917.845099<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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