Overview

Dataset statistics

Number of variables44
Number of observations4310
Missing cells39086
Missing cells (%)20.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory376.0 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18431/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (71.8%)Imbalance
여성종사자수 is highly imbalanced (71.7%)Imbalance
영업장주변구분명 is highly imbalanced (67.5%)Imbalance
등급구분명 is highly imbalanced (78.1%)Imbalance
총인원 is highly imbalanced (71.6%)Imbalance
보증액 is highly imbalanced (51.1%)Imbalance
월세액 is highly imbalanced (51.1%)Imbalance
시설총규모 is highly imbalanced (64.3%)Imbalance
인허가취소일자 has 4310 (100.0%) missing valuesMissing
폐업일자 has 544 (12.6%) missing valuesMissing
휴업시작일자 has 4310 (100.0%) missing valuesMissing
휴업종료일자 has 4310 (100.0%) missing valuesMissing
재개업일자 has 4310 (100.0%) missing valuesMissing
전화번호 has 1873 (43.5%) missing valuesMissing
소재지면적 has 3251 (75.4%) missing valuesMissing
도로명주소 has 1113 (25.8%) missing valuesMissing
도로명우편번호 has 1171 (27.2%) missing valuesMissing
좌표정보(X) has 66 (1.5%) missing valuesMissing
좌표정보(Y) has 66 (1.5%) missing valuesMissing
다중이용업소여부 has 832 (19.3%) missing valuesMissing
전통업소지정번호 has 4310 (100.0%) missing valuesMissing
전통업소주된음식 has 4310 (100.0%) missing valuesMissing
홈페이지 has 4310 (100.0%) missing valuesMissing
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 69 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:51:54.859936
Analysis finished2024-05-11 06:51:56.904397
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
3040000
4310 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 4310
100.0%

Length

2024-05-11T15:51:56.978615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:57.113485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 4310
100.0%

관리번호
Text

UNIQUE 

Distinct4310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
2024-05-11T15:51:57.349391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters94820
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

Unique4310 ?
Unique (%)100.0%

Sample

1st row3040000-107-1972-00146
2nd row3040000-107-1972-00147
3rd row3040000-107-1972-00148
4th row3040000-107-1972-00149
5th row3040000-107-1972-00151
ValueCountFrequency (%)
3040000-107-1972-00146 1
 
< 0.1%
3040000-107-2019-00189 1
 
< 0.1%
3040000-107-2019-00191 1
 
< 0.1%
3040000-107-2019-00176 1
 
< 0.1%
3040000-107-2019-00177 1
 
< 0.1%
3040000-107-2019-00178 1
 
< 0.1%
3040000-107-2019-00179 1
 
< 0.1%
3040000-107-2019-00180 1
 
< 0.1%
3040000-107-2019-00181 1
 
< 0.1%
3040000-107-2019-00182 1
 
< 0.1%
Other values (4300) 4300
99.8%
2024-05-11T15:51:57.767027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42948
45.3%
- 12930
 
13.6%
1 8901
 
9.4%
2 7032
 
7.4%
3 5974
 
6.3%
7 5703
 
6.0%
4 5462
 
5.8%
9 2118
 
2.2%
8 1483
 
1.6%
6 1212
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81890
86.4%
Dash Punctuation 12930
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42948
52.4%
1 8901
 
10.9%
2 7032
 
8.6%
3 5974
 
7.3%
7 5703
 
7.0%
4 5462
 
6.7%
9 2118
 
2.6%
8 1483
 
1.8%
6 1212
 
1.5%
5 1057
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 12930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94820
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42948
45.3%
- 12930
 
13.6%
1 8901
 
9.4%
2 7032
 
7.4%
3 5974
 
6.3%
7 5703
 
6.0%
4 5462
 
5.8%
9 2118
 
2.2%
8 1483
 
1.6%
6 1212
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42948
45.3%
- 12930
 
13.6%
1 8901
 
9.4%
2 7032
 
7.4%
3 5974
 
6.3%
7 5703
 
6.0%
4 5462
 
5.8%
9 2118
 
2.2%
8 1483
 
1.6%
6 1212
 
1.3%

인허가일자
Date

Distinct2724
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
Minimum1972-03-24 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:51:57.956245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:58.180068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
3
3766 
1
544 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3766
87.4%
1 544
 
12.6%

Length

2024-05-11T15:51:58.391623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:58.519835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3766
87.4%
1 544
 
12.6%

영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
폐업
3766 
영업/정상
544 

Length

Max length5
Median length2
Mean length2.3786543
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3766
87.4%
영업/정상 544
 
12.6%

Length

2024-05-11T15:51:58.648563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:58.802999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3766
87.4%
영업/정상 544
 
12.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
2
3766 
1
544 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 3766
87.4%
1 544
 
12.6%

Length

2024-05-11T15:51:59.191026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:59.319467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3766
87.4%
1 544
 
12.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
폐업
3766 
영업
544 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 3766
87.4%
영업 544
 
12.6%

Length

2024-05-11T15:51:59.449404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:51:59.579541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 3766
87.4%
영업 544
 
12.6%

폐업일자
Date

MISSING 

Distinct2446
Distinct (%)64.9%
Missing544
Missing (%)12.6%
Memory size33.8 KiB
Minimum1995-08-07 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:51:59.737661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:51:59.957524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

전화번호
Text

MISSING 

Distinct1599
Distinct (%)65.6%
Missing1873
Missing (%)43.5%
Memory size33.8 KiB
2024-05-11T15:52:00.363022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.647107
Min length2

Characters and Unicode

Total characters25947
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1379 ?
Unique (%)56.6%

Sample

1st row02 4474387
2nd row02 4572301
3rd row02 4653067
4th row02 4637941
5th row02 4578541
ValueCountFrequency (%)
02 1233
25.9%
031 334
 
7.0%
070 102
 
2.1%
07043009589 42
 
0.9%
042 41
 
0.9%
8581226 40
 
0.8%
032 39
 
0.8%
062 34
 
0.7%
055 30
 
0.6%
43009589 28
 
0.6%
Other values (1711) 2831
59.5%
2024-05-11T15:52:00.969136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4299
16.6%
2 3681
14.2%
4 2866
11.0%
2750
10.6%
3 2215
8.5%
5 2014
7.8%
6 1818
7.0%
1 1744
6.7%
7 1657
 
6.4%
8 1555
 
6.0%
Other values (2) 1348
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23196
89.4%
Space Separator 2750
 
10.6%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4299
18.5%
2 3681
15.9%
4 2866
12.4%
3 2215
9.5%
5 2014
8.7%
6 1818
7.8%
1 1744
7.5%
7 1657
 
7.1%
8 1555
 
6.7%
9 1347
 
5.8%
Space Separator
ValueCountFrequency (%)
2750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25947
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4299
16.6%
2 3681
14.2%
4 2866
11.0%
2750
10.6%
3 2215
8.5%
5 2014
7.8%
6 1818
7.0%
1 1744
6.7%
7 1657
 
6.4%
8 1555
 
6.0%
Other values (2) 1348
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4299
16.6%
2 3681
14.2%
4 2866
11.0%
2750
10.6%
3 2215
8.5%
5 2014
7.8%
6 1818
7.0%
1 1744
6.7%
7 1657
 
6.4%
8 1555
 
6.0%
Other values (2) 1348
 
5.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct357
Distinct (%)33.7%
Missing3251
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean22.682257
Minimum0
Maximum364.33
Zeros69
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2024-05-11T15:52:01.175051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median15
Q327.74
95-th percentile65.406
Maximum364.33
Range364.33
Interquartile range (IQR)24.44

Descriptive statistics

Standard deviation35.325473
Coefficient of variation (CV)1.5574056
Kurtosis33.516251
Mean22.682257
Median Absolute Deviation (MAD)11.7
Skewness5.081833
Sum24020.51
Variance1247.8891
MonotonicityNot monotonic
2024-05-11T15:52:01.356315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 195
 
4.5%
0.0 69
 
1.6%
6.6 51
 
1.2%
10.0 31
 
0.7%
20.0 30
 
0.7%
30.0 24
 
0.6%
33.0 22
 
0.5%
15.0 17
 
0.4%
9.9 17
 
0.4%
26.4 15
 
0.3%
Other values (347) 588
 
13.6%
(Missing) 3251
75.4%
ValueCountFrequency (%)
0.0 69
1.6%
1.0 1
 
< 0.1%
1.3 1
 
< 0.1%
1.7 1
 
< 0.1%
1.8 1
 
< 0.1%
1.92 1
 
< 0.1%
1.95 1
 
< 0.1%
1.98 1
 
< 0.1%
2.0 1
 
< 0.1%
2.2 1
 
< 0.1%
ValueCountFrequency (%)
364.33 1
 
< 0.1%
330.9 1
 
< 0.1%
323.9 1
 
< 0.1%
258.73 7
0.2%
227.05 1
 
< 0.1%
208.84 1
 
< 0.1%
179.68 1
 
< 0.1%
176.4 1
 
< 0.1%
171.16 1
 
< 0.1%
157.09 1
 
< 0.1%

소재지우편번호
Text

Distinct190
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
2024-05-11T15:52:01.766316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1234339
Min length6

Characters and Unicode

Total characters26392
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.6%

Sample

1st row143819
2nd row143819
3rd row143916
4th row143843
5th row143961
ValueCountFrequency (%)
143758 1343
31.2%
143200 383
 
8.9%
143903 220
 
5.1%
143-758 146
 
3.4%
143866 135
 
3.1%
143867 134
 
3.1%
143914 115
 
2.7%
143888 86
 
2.0%
143721 62
 
1.4%
143862 58
 
1.3%
Other values (180) 1628
37.8%
2024-05-11T15:52:02.437440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5006
19.0%
4 4863
18.4%
3 4823
18.3%
8 3538
13.4%
7 1974
 
7.5%
5 1729
 
6.6%
0 1402
 
5.3%
2 902
 
3.4%
9 901
 
3.4%
6 722
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25860
98.0%
Dash Punctuation 532
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5006
19.4%
4 4863
18.8%
3 4823
18.7%
8 3538
13.7%
7 1974
 
7.6%
5 1729
 
6.7%
0 1402
 
5.4%
2 902
 
3.5%
9 901
 
3.5%
6 722
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 532
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5006
19.0%
4 4863
18.4%
3 4823
18.3%
8 3538
13.4%
7 1974
 
7.5%
5 1729
 
6.6%
0 1402
 
5.3%
2 902
 
3.4%
9 901
 
3.4%
6 722
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5006
19.0%
4 4863
18.4%
3 4823
18.3%
8 3538
13.4%
7 1974
 
7.5%
5 1729
 
6.6%
0 1402
 
5.3%
2 902
 
3.4%
9 901
 
3.4%
6 722
 
2.7%

지번주소
Text

Distinct2032
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
2024-05-11T15:52:02.842374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length25.82297
Min length17

Characters and Unicode

Total characters111297
Distinct characters318
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1652 ?
Unique (%)38.3%

Sample

1st row서울특별시 광진구 구의동 66-28 구의시장내1층3,4호
2nd row서울특별시 광진구 구의동 66-28 구의시장내1층58호
3rd row서울특별시 광진구 화양동 34-72
4th row서울특별시 광진구 자양동 44-2 노룬산시장내1층42,43호
5th row서울특별시 광진구 구의동 228-3
ValueCountFrequency (%)
서울특별시 4311
19.8%
광진구 4310
19.8%
자양동 2223
 
10.2%
227-7 830
 
3.8%
구의동 809
 
3.7%
중곡동 672
 
3.1%
227-342 646
 
3.0%
지하1층 529
 
2.4%
롯데백화점 500
 
2.3%
546-4 432
 
2.0%
Other values (1809) 6503
29.9%
2024-05-11T15:52:03.369822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20916
18.8%
2 5765
 
5.2%
구 5149
 
4.6%
시 4842
 
4.4%
광 4556
 
4.1%
동 4433
 
4.0%
진 4341
 
3.9%
서 4322
 
3.9%
울 4321
 
3.9%
특 4311
 
3.9%
Other values (308) 48341
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64828
58.2%
Decimal Number 20969
 
18.8%
Space Separator 20916
 
18.8%
Dash Punctuation 4240
 
3.8%
Uppercase Letter 153
 
0.1%
Open Punctuation 66
 
0.1%
Close Punctuation 66
 
0.1%
Other Punctuation 36
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5149
 
7.9%
시 4842
 
7.5%
광 4556
 
7.0%
동 4433
 
6.8%
진 4341
 
6.7%
서 4322
 
6.7%
울 4321
 
6.7%
특 4311
 
6.6%
별 4311
 
6.6%
양 2821
 
4.4%
Other values (261) 21421
33.0%
Uppercase Letter
ValueCountFrequency (%)
G 43
28.1%
S 41
26.8%
B 36
23.5%
A 8
 
5.2%
F 6
 
3.9%
L 6
 
3.9%
N 2
 
1.3%
U 2
 
1.3%
D 2
 
1.3%
E 2
 
1.3%
Other values (5) 5
 
3.3%
Decimal Number
ValueCountFrequency (%)
2 5765
27.5%
1 2998
14.3%
7 2857
13.6%
4 2436
11.6%
3 1823
 
8.7%
5 1549
 
7.4%
6 1510
 
7.2%
0 788
 
3.8%
8 649
 
3.1%
9 594
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
m 2
15.4%
i 2
15.4%
e 2
15.4%
c 1
7.7%
d 1
7.7%
s 1
7.7%
g 1
7.7%
b 1
7.7%
l 1
7.7%
h 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 32
88.9%
/ 2
 
5.6%
@ 1
 
2.8%
. 1
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 65
98.5%
[ 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 65
98.5%
] 1
 
1.5%
Space Separator
ValueCountFrequency (%)
20916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4240
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64828
58.2%
Common 46302
41.6%
Latin 167
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5149
 
7.9%
시 4842
 
7.5%
광 4556
 
7.0%
동 4433
 
6.8%
진 4341
 
6.7%
서 4322
 
6.7%
울 4321
 
6.7%
특 4311
 
6.6%
별 4311
 
6.6%
양 2821
 
4.4%
Other values (261) 21421
33.0%
Latin
ValueCountFrequency (%)
G 43
25.7%
S 41
24.6%
B 36
21.6%
A 8
 
4.8%
F 6
 
3.6%
L 6
 
3.6%
N 2
 
1.2%
m 2
 
1.2%
i 2
 
1.2%
U 2
 
1.2%
Other values (16) 19
11.4%
Common
ValueCountFrequency (%)
20916
45.2%
2 5765
 
12.5%
- 4240
 
9.2%
1 2998
 
6.5%
7 2857
 
6.2%
4 2436
 
5.3%
3 1823
 
3.9%
5 1549
 
3.3%
6 1510
 
3.3%
0 788
 
1.7%
Other values (11) 1420
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64828
58.2%
ASCII 46468
41.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20916
45.0%
2 5765
 
12.4%
- 4240
 
9.1%
1 2998
 
6.5%
7 2857
 
6.1%
4 2436
 
5.2%
3 1823
 
3.9%
5 1549
 
3.3%
6 1510
 
3.2%
0 788
 
1.7%
Other values (36) 1586
 
3.4%
Hangul
ValueCountFrequency (%)
구 5149
 
7.9%
시 4842
 
7.5%
광 4556
 
7.0%
동 4433
 
6.8%
진 4341
 
6.7%
서 4322
 
6.7%
울 4321
 
6.7%
특 4311
 
6.6%
별 4311
 
6.6%
양 2821
 
4.4%
Other values (261) 21421
33.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

MISSING 

Distinct1635
Distinct (%)51.1%
Missing1113
Missing (%)25.8%
Memory size33.8 KiB
2024-05-11T15:52:03.711470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length34.482327
Min length21

Characters and Unicode

Total characters110240
Distinct characters327
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1332 ?
Unique (%)41.7%

Sample

1st row서울특별시 광진구 아차산로29길 59 (화양동)
2nd row서울특별시 광진구 구의로 70 (구의동, 15)
3rd row서울특별시 광진구 동일로10길 45 (자양동)
4th row서울특별시 광진구 군자로 71 (군자동)
5th row서울특별시 광진구 긴고랑로11길 11 (중곡동,중곡제일시장내 1층6호)
ValueCountFrequency (%)
서울특별시 3198
 
14.5%
광진구 3197
 
14.5%
자양동 1775
 
8.1%
지하1층 986
 
4.5%
아차산로 859
 
3.9%
1층 781
 
3.5%
272 733
 
3.3%
능동로 629
 
2.9%
92 574
 
2.6%
롯데백화점 503
 
2.3%
Other values (1135) 8766
39.8%
2024-05-11T15:52:04.391377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18819
 
17.1%
동 4238
 
3.8%
광 3782
 
3.4%
구 3734
 
3.4%
1 3720
 
3.4%
시 3588
 
3.3%
로 3286
 
3.0%
진 3250
 
2.9%
) 3226
 
2.9%
( 3226
 
2.9%
Other values (317) 59371
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68067
61.7%
Space Separator 18819
 
17.1%
Decimal Number 13318
 
12.1%
Close Punctuation 3226
 
2.9%
Open Punctuation 3226
 
2.9%
Other Punctuation 3104
 
2.8%
Uppercase Letter 274
 
0.2%
Dash Punctuation 165
 
0.1%
Lowercase Letter 34
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4238
 
6.2%
광 3782
 
5.6%
구 3734
 
5.5%
시 3588
 
5.3%
로 3286
 
4.8%
진 3250
 
4.8%
서 3209
 
4.7%
울 3208
 
4.7%
별 3198
 
4.7%
특 3198
 
4.7%
Other values (277) 33376
49.0%
Uppercase Letter
ValueCountFrequency (%)
B 128
46.7%
S 69
25.2%
G 65
23.7%
A 3
 
1.1%
N 2
 
0.7%
U 2
 
0.7%
F 1
 
0.4%
K 1
 
0.4%
E 1
 
0.4%
H 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
s 10
29.4%
g 9
26.5%
i 3
 
8.8%
b 3
 
8.8%
e 3
 
8.8%
d 1
 
2.9%
o 1
 
2.9%
p 1
 
2.9%
m 1
 
2.9%
l 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 3720
27.9%
2 3039
22.8%
7 1099
 
8.3%
9 1091
 
8.2%
5 1088
 
8.2%
3 909
 
6.8%
6 762
 
5.7%
0 578
 
4.3%
4 526
 
3.9%
8 506
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 3103
> 99.9%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
18819
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3226
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68067
61.7%
Common 41864
38.0%
Latin 309
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4238
 
6.2%
광 3782
 
5.6%
구 3734
 
5.5%
시 3588
 
5.3%
로 3286
 
4.8%
진 3250
 
4.8%
서 3209
 
4.7%
울 3208
 
4.7%
별 3198
 
4.7%
특 3198
 
4.7%
Other values (277) 33376
49.0%
Latin
ValueCountFrequency (%)
B 128
41.4%
S 69
22.3%
G 65
21.0%
s 10
 
3.2%
g 9
 
2.9%
A 3
 
1.0%
i 3
 
1.0%
b 3
 
1.0%
e 3
 
1.0%
N 2
 
0.6%
Other values (13) 14
 
4.5%
Common
ValueCountFrequency (%)
18819
45.0%
1 3720
 
8.9%
) 3226
 
7.7%
( 3226
 
7.7%
, 3103
 
7.4%
2 3039
 
7.3%
7 1099
 
2.6%
9 1091
 
2.6%
5 1088
 
2.6%
3 909
 
2.2%
Other values (7) 2544
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68067
61.7%
ASCII 42172
38.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18819
44.6%
1 3720
 
8.8%
) 3226
 
7.6%
( 3226
 
7.6%
, 3103
 
7.4%
2 3039
 
7.2%
7 1099
 
2.6%
9 1091
 
2.6%
5 1088
 
2.6%
3 909
 
2.2%
Other values (29) 2852
 
6.8%
Hangul
ValueCountFrequency (%)
동 4238
 
6.2%
광 3782
 
5.6%
구 3734
 
5.5%
시 3588
 
5.3%
로 3286
 
4.8%
진 3250
 
4.8%
서 3209
 
4.7%
울 3208
 
4.7%
별 3198
 
4.7%
특 3198
 
4.7%
Other values (277) 33376
49.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)5.8%
Missing1171
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean5035.9423
Minimum4901
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2024-05-11T15:52:04.603720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile4910
Q15003.5
median5065
Q35065
95-th percentile5116
Maximum5119
Range218
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation58.69692
Coefficient of variation (CV)0.011655598
Kurtosis-0.19064599
Mean5035.9423
Median Absolute Deviation (MAD)11
Skewness-0.93557749
Sum15807823
Variance3445.3284
MonotonicityNot monotonic
2024-05-11T15:52:04.839061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5065 1309
30.4%
5116 234
 
5.4%
4910 158
 
3.7%
5016 108
 
2.5%
5060 90
 
2.1%
4974 53
 
1.2%
5057 38
 
0.9%
4949 35
 
0.8%
5062 29
 
0.7%
5085 26
 
0.6%
Other values (173) 1059
24.6%
(Missing) 1171
27.2%
ValueCountFrequency (%)
4901 2
 
< 0.1%
4902 16
 
0.4%
4903 8
 
0.2%
4904 2
 
< 0.1%
4905 3
 
0.1%
4907 1
 
< 0.1%
4908 14
 
0.3%
4909 23
 
0.5%
4910 158
3.7%
4911 5
 
0.1%
ValueCountFrequency (%)
5119 10
 
0.2%
5118 3
 
0.1%
5117 6
 
0.1%
5116 234
5.4%
5115 3
 
0.1%
5113 4
 
0.1%
5112 5
 
0.1%
5108 1
 
< 0.1%
5106 2
 
< 0.1%
5105 3
 
0.1%

사업장명
Text

Distinct2480
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
2024-05-11T15:52:05.147934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length6.2227378
Min length2

Characters and Unicode

Total characters26820
Distinct characters727
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2027 ?
Unique (%)47.0%

Sample

1st row새기름집
2nd row대동기름집
3rd row제일상회
4th row동성기름집
5th row경북기름집
ValueCountFrequency (%)
주식회사 232
 
4.7%
주)인네이처 65
 
1.3%
명류당티에프 58
 
1.2%
마더앤피쉬 56
 
1.1%
주)신세계푸드 46
 
0.9%
주)만구 44
 
0.9%
수라원 40
 
0.8%
티제이푸드 36
 
0.7%
중소기업유통사업단 29
 
0.6%
미래식품 29
 
0.6%
Other values (2632) 4321
87.2%
2024-05-11T15:52:05.695640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1211
 
4.5%
) 1049
 
3.9%
( 1012
 
3.8%
646
 
2.4%
드 564
 
2.1%
식 536
 
2.0%
이 515
 
1.9%
푸 507
 
1.9%
사 462
 
1.7%
원 438
 
1.6%
Other values (717) 19880
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23215
86.6%
Close Punctuation 1049
 
3.9%
Open Punctuation 1012
 
3.8%
Space Separator 646
 
2.4%
Lowercase Letter 404
 
1.5%
Uppercase Letter 340
 
1.3%
Decimal Number 99
 
0.4%
Other Punctuation 44
 
0.2%
Dash Punctuation 7
 
< 0.1%
Connector Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1211
 
5.2%
드 564
 
2.4%
식 536
 
2.3%
이 515
 
2.2%
푸 507
 
2.2%
사 462
 
2.0%
원 438
 
1.9%
마 388
 
1.7%
회 350
 
1.5%
산 350
 
1.5%
Other values (646) 17894
77.1%
Uppercase Letter
ValueCountFrequency (%)
E 36
 
10.6%
O 35
 
10.3%
F 28
 
8.2%
S 25
 
7.4%
C 24
 
7.1%
A 19
 
5.6%
M 18
 
5.3%
B 18
 
5.3%
I 17
 
5.0%
G 16
 
4.7%
Other values (15) 104
30.6%
Lowercase Letter
ValueCountFrequency (%)
e 64
15.8%
o 50
12.4%
a 34
 
8.4%
n 28
 
6.9%
t 27
 
6.7%
s 25
 
6.2%
r 19
 
4.7%
c 18
 
4.5%
i 16
 
4.0%
m 12
 
3.0%
Other values (13) 111
27.5%
Decimal Number
ValueCountFrequency (%)
1 27
27.3%
2 24
24.2%
0 9
 
9.1%
9 7
 
7.1%
4 6
 
6.1%
3 6
 
6.1%
7 6
 
6.1%
5 6
 
6.1%
6 5
 
5.1%
8 3
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 16
36.4%
& 12
27.3%
, 8
18.2%
' 4
 
9.1%
? 3
 
6.8%
% 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 1049
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1012
100.0%
Space Separator
ValueCountFrequency (%)
646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23210
86.5%
Common 2859
 
10.7%
Latin 745
 
2.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1211
 
5.2%
드 564
 
2.4%
식 536
 
2.3%
이 515
 
2.2%
푸 507
 
2.2%
사 462
 
2.0%
원 438
 
1.9%
마 388
 
1.7%
회 350
 
1.5%
산 350
 
1.5%
Other values (644) 17889
77.1%
Latin
ValueCountFrequency (%)
e 64
 
8.6%
o 50
 
6.7%
E 36
 
4.8%
O 35
 
4.7%
a 34
 
4.6%
F 28
 
3.8%
n 28
 
3.8%
t 27
 
3.6%
s 25
 
3.4%
S 25
 
3.4%
Other values (39) 393
52.8%
Common
ValueCountFrequency (%)
) 1049
36.7%
( 1012
35.4%
646
22.6%
1 27
 
0.9%
2 24
 
0.8%
. 16
 
0.6%
& 12
 
0.4%
0 9
 
0.3%
, 8
 
0.3%
- 7
 
0.2%
Other values (11) 49
 
1.7%
Han
ValueCountFrequency (%)
內 3
50.0%
福 2
33.3%
産 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23209
86.5%
ASCII 3603
 
13.4%
CJK 6
 
< 0.1%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1211
 
5.2%
드 564
 
2.4%
식 536
 
2.3%
이 515
 
2.2%
푸 507
 
2.2%
사 462
 
2.0%
원 438
 
1.9%
마 388
 
1.7%
회 350
 
1.5%
산 350
 
1.5%
Other values (643) 17888
77.1%
ASCII
ValueCountFrequency (%)
) 1049
29.1%
( 1012
28.1%
646
17.9%
e 64
 
1.8%
o 50
 
1.4%
E 36
 
1.0%
O 35
 
1.0%
a 34
 
0.9%
F 28
 
0.8%
n 28
 
0.8%
Other values (59) 621
17.2%
CJK
ValueCountFrequency (%)
內 3
50.0%
福 2
33.3%
産 1
 
16.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct3194
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
Minimum1999-04-14 00:00:00
Maximum2024-05-09 04:15:08
2024-05-11T15:52:05.909574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:06.135492image/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 size33.8 KiB
I
2436 
U
1874 

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 2436
56.5%
U 1874
43.5%

Length

2024-05-11T15:52:06.341098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:06.491595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2436
56.5%
u 1874
43.5%

데이터갱신일자
Date

Distinct1133
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:52:06.655272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:52:06.865590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
즉석판매제조가공업
4310 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 4310
100.0%

Length

2024-05-11T15:52:07.052070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:07.230501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 4310
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1218
Distinct (%)28.7%
Missing66
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean206960.94
Minimum205345.12
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2024-05-11T15:52:07.406465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205345.12
5-th percentile205903.77
Q1206217.43
median206638.23
Q3207649.74
95-th percentile208394.42
Maximum209775.27
Range4430.1507
Interquartile range (IQR)1432.3024

Descriptive statistics

Standard deviation884.01311
Coefficient of variation (CV)0.0042714008
Kurtosis-0.61561528
Mean206960.94
Median Absolute Deviation (MAD)460.76684
Skewness0.68159554
Sum8.7834221 × 108
Variance781479.19
MonotonicityNot monotonic
2024-05-11T15:52:07.611084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206349.675048285 828
19.2%
206217.434726027 646
 
15.0%
208394.416382167 425
 
9.9%
206107.775163579 115
 
2.7%
207114.498872176 115
 
2.7%
207070.446147612 97
 
2.3%
208454.462790427 22
 
0.5%
208644.819209521 18
 
0.4%
207098.994772766 18
 
0.4%
208558.933963663 18
 
0.4%
Other values (1208) 1942
45.1%
(Missing) 66
 
1.5%
ValueCountFrequency (%)
205345.117133861 1
 
< 0.1%
205390.463339147 1
 
< 0.1%
205404.102971486 2
< 0.1%
205416.532264515 1
 
< 0.1%
205417.030534917 1
 
< 0.1%
205471.794445076 1
 
< 0.1%
205481.679940678 3
0.1%
205484.367909474 1
 
< 0.1%
205488.957879673 2
< 0.1%
205490.641890559 1
 
< 0.1%
ValueCountFrequency (%)
209775.267831522 2
< 0.1%
209734.218553133 1
 
< 0.1%
209696.788551484 1
 
< 0.1%
209589.042548422 1
 
< 0.1%
209551.051963422 4
0.1%
209537.413919968 1
 
< 0.1%
209523.395129627 1
 
< 0.1%
209478.455521708 1
 
< 0.1%
209445.989886173 1
 
< 0.1%
209430.697127087 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1218
Distinct (%)28.7%
Missing66
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean448934.3
Minimum447331.9
Maximum452134.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.0 KiB
2024-05-11T15:52:07.796781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447331.9
5-th percentile447778.01
Q1448347.41
median448506.22
Q3449236.7
95-th percentile451296.05
Maximum452134.45
Range4802.5485
Interquartile range (IQR)889.28027

Descriptive statistics

Standard deviation1071.9593
Coefficient of variation (CV)0.0023877866
Kurtosis0.42824129
Mean448934.3
Median Absolute Deviation (MAD)340.93874
Skewness1.2653101
Sum1.9052772 × 109
Variance1149096.8
MonotonicityNot monotonic
2024-05-11T15:52:07.980038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448396.939704285 828
19.2%
448506.218743834 646
 
15.0%
448165.279999905 425
 
9.9%
449029.342177779 115
 
2.7%
451296.049443757 115
 
2.7%
447746.148874413 97
 
2.3%
448759.48137914 22
 
0.5%
448711.725750126 18
 
0.4%
451260.44574067 18
 
0.4%
448800.055402101 18
 
0.4%
Other values (1208) 1942
45.1%
(Missing) 66
 
1.5%
ValueCountFrequency (%)
447331.904249819 1
< 0.1%
447374.008518853 2
< 0.1%
447374.954389876 1
< 0.1%
447396.733663032 1
< 0.1%
447411.712462396 1
< 0.1%
447414.538114925 2
< 0.1%
447434.03673258 1
< 0.1%
447436.911286546 1
< 0.1%
447452.653781347 1
< 0.1%
447460.707752416 1
< 0.1%
ValueCountFrequency (%)
452134.45276901 1
 
< 0.1%
452121.121578344 2
< 0.1%
452113.01521396 2
< 0.1%
452112.360344615 2
< 0.1%
452094.351843872 1
 
< 0.1%
452075.276299034 2
< 0.1%
452070.118445356 4
0.1%
452059.356388739 2
< 0.1%
452050.362834406 2
< 0.1%
452048.395975014 1
 
< 0.1%

위생업태명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
즉석판매제조가공업
3478 
<NA>
832 

Length

Max length9
Median length9
Mean length8.0348028
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 3478
80.7%
<NA> 832
 
19.3%

Length

2024-05-11T15:52:08.192374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:08.351133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉석판매제조가공업 3478
80.7%
na 832
 
19.3%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3927 
0
 
374
1
 
9

Length

Max length4
Median length4
Mean length3.7334107
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3927
91.1%
0 374
 
8.7%
1 9
 
0.2%

Length

2024-05-11T15:52:08.826784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:08.982570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3927
91.1%
0 374
 
8.7%
1 9
 
0.2%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3927 
0
 
373
1
 
10

Length

Max length4
Median length4
Mean length3.7334107
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3927
91.1%
0 373
 
8.7%
1 10
 
0.2%

Length

2024-05-11T15:52:09.167851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:09.334400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3927
91.1%
0 373
 
8.7%
1 10
 
0.2%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3818 
주택가주변
 
289
기타
 
177
아파트지역
 
26

Length

Max length5
Median length4
Mean length3.9909513
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3818
88.6%
주택가주변 289
 
6.7%
기타 177
 
4.1%
아파트지역 26
 
0.6%

Length

2024-05-11T15:52:09.505017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:09.660423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3818
88.6%
주택가주변 289
 
6.7%
기타 177
 
4.1%
아파트지역 26
 
0.6%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3818 
기타
457 
자율
 
24
관리
 
5
우수
 
3

Length

Max length4
Median length4
Mean length3.7716937
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3818
88.6%
기타 457
 
10.6%
자율 24
 
0.6%
관리 5
 
0.1%
우수 3
 
0.1%
지도 3
 
0.1%

Length

2024-05-11T15:52:09.827056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:09.992030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3818
88.6%
기타 457
 
10.6%
자율 24
 
0.6%
관리 5
 
0.1%
우수 3
 
0.1%
지도 3
 
0.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3700 
상수도전용
610 

Length

Max length5
Median length4
Mean length4.1415313
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3700
85.8%
상수도전용 610
 
14.2%

Length

2024-05-11T15:52:10.145424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:10.280168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3700
85.8%
상수도전용 610
 
14.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
4097 
0
 
213

Length

Max length4
Median length4
Mean length3.8517401
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> 4097
95.1%
0 213
 
4.9%

Length

2024-05-11T15:52:10.415415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:10.538392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4097
95.1%
0 213
 
4.9%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3204 
0
1106 

Length

Max length4
Median length4
Mean length3.2301624
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3204
74.3%
0 1106
 
25.7%

Length

2024-05-11T15:52:10.680061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:10.894635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3204
74.3%
0 1106
 
25.7%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3204 
0
1106 

Length

Max length4
Median length4
Mean length3.2301624
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3204
74.3%
0 1106
 
25.7%

Length

2024-05-11T15:52:11.046117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:11.192544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3204
74.3%
0 1106
 
25.7%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3204 
0
1106 

Length

Max length4
Median length4
Mean length3.2301624
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3204
74.3%
0 1106
 
25.7%

Length

2024-05-11T15:52:11.403774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:11.569257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3204
74.3%
0 1106
 
25.7%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3204 
0
1106 

Length

Max length4
Median length4
Mean length3.2301624
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3204
74.3%
0 1106
 
25.7%

Length

2024-05-11T15:52:11.776514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:11.932874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3204
74.3%
0 1106
 
25.7%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
2441 
자가
1287 
임대
582 

Length

Max length4
Median length4
Mean length3.1327146
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> 2441
56.6%
자가 1287
29.9%
임대 582
 
13.5%

Length

2024-05-11T15:52:12.089112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:12.286062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2441
56.6%
자가 1287
29.9%
임대 582
 
13.5%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3852 
0
458 

Length

Max length4
Median length4
Mean length3.6812065
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> 3852
89.4%
0 458
 
10.6%

Length

2024-05-11T15:52:12.468375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:12.620401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3852
89.4%
0 458
 
10.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
<NA>
3852 
0
458 

Length

Max length4
Median length4
Mean length3.6812065
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> 3852
89.4%
0 458
 
10.6%

Length

2024-05-11T15:52:12.755199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:12.889658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3852
89.4%
0 458
 
10.6%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing832
Missing (%)19.3%
Memory size8.5 KiB
False
3478 
(Missing)
832 
ValueCountFrequency (%)
False 3478
80.7%
(Missing) 832
 
19.3%
2024-05-11T15:52:13.001610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.8 KiB
0
3476 
<NA>
832 
7
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.5791183
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3476
80.6%
<NA> 832
 
19.3%
7 1
 
< 0.1%
3 1
 
< 0.1%

Length

2024-05-11T15:52:13.129922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:52:13.287127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3476
80.6%
na 832
 
19.3%
7 1
 
< 0.1%
3 1
 
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4310
Missing (%)100.0%
Memory size38.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030400003040000-107-1972-0014619720324<NA>3폐업2폐업20070104<NA><NA><NA>02 4474387<NA>143819서울특별시 광진구 구의동 66-28 구의시장내1층3,4호<NA><NA>새기름집2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
130400003040000-107-1972-0014719720324<NA>3폐업2폐업20160307<NA><NA><NA>02 4572301<NA>143819서울특별시 광진구 구의동 66-28 구의시장내1층58호<NA><NA>대동기름집2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업<NA><NA>즉석판매제조가공업00기타기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
230400003040000-107-1972-0014819720516<NA>1영업/정상1영업<NA><NA><NA><NA>02 4653067<NA>143916서울특별시 광진구 화양동 34-72서울특별시 광진구 아차산로29길 59 (화양동)5016제일상회2017-03-20 11:07:14I2018-08-31 23:59:59.0즉석판매제조가공업206053.222554449028.91398즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
330400003040000-107-1972-0014919720608<NA>3폐업2폐업20000328<NA><NA><NA>02 4637941<NA>143843서울특별시 광진구 자양동 44-2 노룬산시장내1층42,43호<NA><NA>동성기름집2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업205663.081069448250.363359즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
430400003040000-107-1972-0015119721017<NA>1영업/정상1영업<NA><NA><NA><NA>02 4578541<NA>143961서울특별시 광진구 구의동 228-3서울특별시 광진구 구의로 70 (구의동, 15)5033경북기름집2017-09-01 13:30:07I2018-08-31 23:59:59.0즉석판매제조가공업207949.854901449113.420153즉석판매제조가공업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
530400003040000-107-1972-0015619720519<NA>3폐업2폐업19981027<NA><NA><NA>02 4321561<NA>143909서울특별시 광진구 중곡동 579-1<NA><NA>충북기름집2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207092.481119452070.118445즉석판매제조가공업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
630400003040000-107-1973-0015219730713<NA>3폐업2폐업20080218<NA><NA><NA>02 4524445<NA>143819서울특별시 광진구 구의동 66-72<NA><NA>강화기름집2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207737.331129449268.519396즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
730400003040000-107-1974-0015319740902<NA>3폐업2폐업20061211<NA><NA><NA>02 4477682<NA>143888서울특별시 광진구 중곡동 79-13 신성시장내<NA><NA>대광기름집2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업207747.893953450639.201015즉석판매제조가공업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
830400003040000-107-1974-0015419741031<NA>3폐업2폐업19990701<NA><NA><NA>02 4663890<NA>143840서울특별시 광진구 군자동 364-1<NA><NA>대흥유지2002-03-22 00:00:00I2018-08-31 23:59:59.0즉석판매제조가공업206232.846435449939.614234즉석판매제조가공업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
930400003040000-107-1975-0015519750910<NA>3폐업2폐업20211208<NA><NA><NA>02 465410618.63143842서울특별시 광진구 자양동 40-36서울특별시 광진구 동일로10길 45 (자양동)5078팔팔상회2021-12-08 16:36:28U2021-12-10 02:40:00.0즉석판매제조가공업205599.903165448371.75301즉석판매제조가공업00기타기타상수도전용00000<NA>00N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
430030400003040000-107-2024-000772024-04-23<NA>3폐업2폐업2024-05-02<NA><NA><NA><NA><NA>143-758서울특별시 광진구 자양동 227-342 롯데백화점 지하1층 행사장 일부서울특별시 광진구 능동로 92, 롯데백화점 지하1층 행사장 일부 (자양동)5065(주)미르2024-05-03 04:15:08U2023-12-05 00:05:00.0즉석판매제조가공업206217.434726448506.218744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430130400003040000-107-2024-000782024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-758서울특별시 광진구 자양동 227-342 롯데백화점 지하1층서울특별시 광진구 능동로 92, 롯데백화점 지하1층 (자양동)5065심봉사도로케2024-04-24 17:19:13I2023-12-03 22:06:00.0즉석판매제조가공업206217.434726448506.218744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430230400003040000-107-2024-000792024-04-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.0143-867서울특별시 광진구 자양동 635-8 중앙농협 하나로마트 2층 수산코너호서울특별시 광진구 뚝섬로 639, 중앙농협 하나로마트 2층 수산코너호 (자양동)5060스마일수산2024-04-26 14:40:25I2023-12-03 22:08:00.0즉석판매제조가공업207070.446148447746.148874<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430330400003040000-107-2024-000802024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>46.28143-891서울특별시 광진구 중곡동 141-22 2층 우측서울특별시 광진구 천호대로111길 35, 2층 우측 (중곡동)4928멜팅하트2024-04-29 10:31:34I2023-12-05 00:01:00.0즉석판매제조가공업207226.352089450630.217783<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430430400003040000-107-2024-000812024-04-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-758서울특별시 광진구 자양동 227-342 롯데백화점 지하1층 식품관서울특별시 광진구 능동로 92, 롯데백화점 지하1층 식품관 (자양동)5065예찬2024-04-29 13:54:13I2023-12-05 00:01:00.0즉석판매제조가공업206217.434726448506.218744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430530400003040000-107-2024-000822024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-888서울특별시 광진구 중곡동 82-1 2층 탑셀바이오뱅크서울특별시 광진구 영화사로 18, 2층 탑셀바이오뱅크 (중곡동)4949황실진한라삼2024-04-30 10:16:19I2023-12-05 00:02:00.0즉석판매제조가공업207817.11307450586.162251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430630400003040000-107-2024-000832024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-758서울특별시 광진구 자양동 227-7 지하1층서울특별시 광진구 아차산로 272, 지하1층 (자양동)5065(주)팜덕2024-04-30 10:18:58I2023-12-05 00:02:00.0즉석판매제조가공업206349.675048448396.939704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430730400003040000-107-2024-000842024-05-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-914서울특별시 광진구 화양동 10-1 GS더프레시 내부서울특별시 광진구 능동로13길 39, GS더프레시 내부 (화양동)5016제이리테일2024-05-01 08:30:30I2023-12-05 00:03:00.0즉석판매제조가공업206107.775164449029.342178<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430830400003040000-107-2024-000852024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-814서울특별시 광진구 광장동 470-10 이마트에브리데이 광장점 1층서울특별시 광진구 아차산로 506, 이마트에브리데이 광장점 1층 (광장동)4974티제이푸드2024-05-02 11:01:40I2023-12-05 00:04:00.0즉석판매제조가공업208558.933964448800.055402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430930400003040000-107-2024-000872024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3143-916서울특별시 광진구 화양동 33-29 1층 103호서울특별시 광진구 능동로13길 81, 1층 103호 (화양동)5015프롬커피로스터스(FROM COFFEE ROASTERS)2024-05-07 17:10:36I2023-12-05 00:09:00.0즉석판매제조가공업206001.294681449206.549712<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>